From 73bc5e7dcc740ba3e9a389b73434b46af6a8d120 Mon Sep 17 00:00:00 2001
From: Court <42366074+falconstryker@users.noreply.github.com>
Date: Mon, 14 Aug 2023 11:14:50 -0700
Subject: [PATCH 1/3] added Kathryn's early Mars pressure grids (default, 500
 mb, 1 bar, 2 bar)

---
 mars_templates/amescap_profile | 67 ++++++++++++++++++++++++++++------
 1 file changed, 55 insertions(+), 12 deletions(-)

diff --git a/mars_templates/amescap_profile b/mars_templates/amescap_profile
index c4fb4da..4f5f609 100644
--- a/mars_templates/amescap_profile
+++ b/mars_templates/amescap_profile
@@ -3,7 +3,7 @@
 
 <<<<<<<<<<<<<<| Pressure definitions for pstd |>>>>>>>>>>>>>
 
-p44=[1.0e+03, 9.5e+02, 9.0e+02, 8.5e+02, 8.0e+02, 7.5e+02, 7.0e+02,
+p44 = [1.0e+03, 9.5e+02, 9.0e+02, 8.5e+02, 8.0e+02, 7.5e+02, 7.0e+02,
        6.5e+02, 6.0e+02, 5.5e+02, 5.0e+02, 4.5e+02, 4.0e+02, 3.5e+02,
        3.0e+02, 2.5e+02, 2.0e+02, 1.5e+02, 1.0e+02, 7.0e+01, 5.0e+01,
        3.0e+01, 2.0e+01, 1.0e+01, 7.0e+00, 5.0e+00, 3.0e+00, 2.0e+00,
@@ -11,20 +11,63 @@ p44=[1.0e+03, 9.5e+02, 9.0e+02, 8.5e+02, 8.0e+02, 7.5e+02, 7.0e+02,
        1.0e-02, 5.0e-03, 3.0e-03, 5.0e-04, 3.0e-04, 1.0e-04, 5.0e-05,
        3.0e-05, 1.0e-05]
 
-phalf_mb=[50]
+phalf_mb = [50]
+
+eMars_dflt = [ 1.0e-05, 3.0e-05, 5.0e-05, 1.0e-04, 3.0e-04, 5.0e-04, 
+                 0.003,   0.005,    0.01,    0.03,    0.05,     0.1,
+                   0.2,     0.3,     0.5, 1.0e+00, 2.0e+00, 3.0e+00, 
+               5.0e+00, 7.0e+00, 0.1e+02, 0.2e+02, 0.3e+02, 0.5e+02,
+               0.7e+02, 1.0e+02, 1.5e+02, 2.0e+02, 2.5e+02, 3.0e+02,
+               3.5e+02, 4.0e+02, 4.5e+02, 5.0e+02, 5.3e+02, 5.5e+02,
+               5.9e+02, 6.0e+02, 6.3e+02, 6.5e+02, 6.9e+02, 7.0e+02,
+               7.5e+02, 8.0e+02, 8.5e+02, 9.0e+02, 9.5e+02, 10.0e+02 ]
+
+eMars_halfbar = [  0.5, 1.0e+00, 2.0e+00, 3.0e+00, 5.0e+00, 7.0e+00,
+               0.1e+02, 0.2e+02, 0.3e+02, 0.5e+02, 0.7e+02, 1.0e+02,
+               1.5e+02, 2.0e+02, 3.0e+02, 4.0e+02, 5.0e+02, 6.0e+02,
+               7.0e+02, 8.0e+02, 9.0e+02, 10.0e+02, 15.0e+02, 20.0e+02,
+              30.0e+02, 40.0e+02, 50.0e+02, 60.0e+02, 70.0e+02, 
+              80.0e+02, 90.0e+02, 100.0e+02, 150.0e+02, 200.0e+02,
+             250.0e+02, 300.0e+02, 350.0e+02, 400.0e+02, 450.0e+02, 
+             500.0e+02, 550.0e+02, 600.0e+02, 650.0e+02, 700.0e+02, 
+             750.0e+02, 800.0e+02, 900.0e+02, 1000.0e+02 ]
+
+eMars_1bar = [ 1.0e+00, 5.0e+00, 0.1e+02, 0.2e+02, 0.3e+02, 0.5e+02, 
+               0.7e+02, 1.0e+02, 1.5e+02, 2.0e+02, 3.0e+02, 4.0e+02, 
+               5.0e+02, 6.0e+02, 7.0e+02, 8.0e+02, 9.0e+02, 10.0e+02, 
+              15.0e+02, 20.0e+02, 30.0e+02, 40.0e+02, 50.0e+02, 
+              60.0e+02, 70.0e+02, 80.0e+02, 90.0e+02, 100.0e+02, 
+             150.0e+02, 200.0e+02, 300.0e+02, 400.0e+02, 500.0e+02, 
+             600.0e+02, 700.0e+02, 800.0e+02, 900.0e+02, 1000.0e+02, 
+             1100.0e+02, 1200.0e+02, 1300.0e+02, 1400.0e+02, 
+             1500.0e+02, 1600.0e+02, 1700.0e+02, 1800.0e+02, 
+             1900.0e+02, 2000.0e+02 ]
+
+
+eMars_2bar = [ 1.0e+00, 5.0e+00, 0.1e+02, 0.2e+02, 0.3e+02, 0.5e+02, 
+               0.7e+02, 1.0e+02, 2.0e+02, 3.0e+02, 5.0e+02, 7.0e+02, 
+              10.0e+02, 20.0e+02, 30.0e+02, 50.0e+02, 60.0e+02, 
+              80.0e+02, 100.0e+02, 200.0e+02, 300.0e+02, 500.0e+02, 
+             700.0e+02, 900.0e+02, 1000.0e+02, 1100.0e+02, 1200.0e+02, 
+            1300.0e+02, 1500.0e+02, 1700.0e+02, 1800.0e+02, 2000.0e+02, 
+            2100.0e+02, 2200.0e+02, 2300.0e+02, 2400.0e+02, 2500.0e+02, 
+            2600.0e+02, 2700.0e+02, 2800.0e+02, 2900.0e+02, 3000.0e+02, 
+            3100.0e+02, 3200.0e+02, 3300.0e+02, 3400.0e+02, 3500.0e+02, 
+            3600.0e+02 ]
 
 <<<<<<<<<<<<<<| Altitude definitions for zstd |>>>>>>>>>>>>>
 
-z48=[-7000,-6000,-5000,-4500,-4000,-3500,-3000,-2500,-2000,-1500,-1000,
-     -500,0,500,1000,1500,2000,2500,3000,3500,4000,4500,5000,
-     6000,7000,8000,9000,10000,12000,14000,16000,18000,
-     20000,25000,30000,35000,40000,45000,50000,55000,
-     60000,70000,80000,90000,100000,110000,120000,13000])
+z48 = [-7000, -6000, -5000, -4500, -4000, -3500, -3000, -2500, -2000, 
+       -1500, -1000,  -500,     0,   500,  1000,  1500,  2000,  2500, 
+        3000,  3500,  4000,  4500,  5000,  6000,  7000,  8000,  9000, 
+       10000, 12000, 14000, 16000, 18000, 20000, 25000, 30000, 35000, 
+       40000, 45000, 50000, 55000, 60000, 70000, 80000, 90000, 100000, 
+      110000, 120000, 13000]
 
 <<<<<<<<<<<<<<| Altitude definitions for zagl |>>>>>>>>>>>>>
 
-zagl42=[0,15,30,50,100,200,300,500,1000,2000,3000,4000,5000,
-        6000,7000,8000,9000,10000,12000,14000,16000,18000,
-        20000,25000,30000,35000,40000,45000,50000,55000,
-        60000,65000,70000,75000,80000,85000,90000,95000,
-        100000,110000,120000,130000]
+zagl42 = [0,   15,   30,   50,  100,  200,  300,   500,  1000,  2000, 
+       3000, 4000, 5000, 6000, 7000, 8000, 9000, 10000, 12000, 14000, 
+      16000, 18000, 20000, 25000, 30000, 35000, 40000, 45000, 50000, 
+      55000, 60000, 65000, 70000, 75000, 80000, 85000, 90000, 95000,
+     100000, 110000, 120000, 130000]

From 206f9e53b5ec30e68ca3719d31f10240c89573ae Mon Sep 17 00:00:00 2001
From: Court <42366074+falconstryker@users.noreply.github.com>
Date: Thu, 30 Nov 2023 12:23:53 -0800
Subject: [PATCH 2/3] updated CAP_Exercises.pdf

---
 tutorial/CAP_Exercises.md                     | 1301 +++++++----------
 ...cap_tutorial_exercises_2023.code-workspace |    8 +
 .../tutorial_images/Tutorial_Banner_Final.png |  Bin 323682 -> 0 bytes
 3 files changed, 548 insertions(+), 761 deletions(-)
 create mode 100644 tutorial/cap_tutorial_exercises_2023.code-workspace
 delete mode 100644 tutorial/tutorial_images/Tutorial_Banner_Final.png

diff --git a/tutorial/CAP_Exercises.md b/tutorial/CAP_Exercises.md
index e696f3c..f28ff53 100644
--- a/tutorial/CAP_Exercises.md
+++ b/tutorial/CAP_Exercises.md
@@ -1,1161 +1,940 @@
-![](./tutorial_images/Tutorial_Banner_Final.png)
+![2023 tutorial banner](./tutorial_images/Tutorial_Banner_2023.png)
 
+# Practice Exercises - Community Analysis Pipeline (CAP)
 
-<!-- TOC titleSize:2 tabSpaces:2 depthFrom:1 depthTo:6 withLinks:1 updateOnSave:1 orderedList:0 skip:0 title:1 charForUnorderedList:* -->
-## Table of Contents
-* [Practical: The Community Analysis Pipeline (CAP)](#practical-the-community-analysis-pipeline-cap)
-  * [Begin by Activating CAP](#begin-by-activating-cap)
-      * [*[(Return to Top)](#table-of-contents)*](#return-to-toptable-of-contents)
-  * [1. Retrieving Data](#1-retrieving-data)
-    * [1.1 Download MGCM Output with `MarsPull.py`](#11-download-mgcm-output-with-marspullpy)
-      * [Skip this if you have done it already!](#skip-this-if-you-have-done-it-already)
-      * [If you have any `fort.11` files **other than the ones listed above** in **either** directory, **delete** them.](#if-you-have-any-fort11-files-other-than-the-ones-listed-above-in-either-directory-delete-them)
-      * [*[(Return to Top)](#table-of-contents)*](#return-to-toptable-of-contents)
-  * [2. File Manipulations](#2-file-manipulations)
-      * [*[(Return to Top)](#table-of-contents)*](#return-to-toptable-of-contents)
-    * [2.1 Convert the `fort.11` files into `netCDF` files](#21-convert-the-fort11-files-into-netcdf-files)
-      * [*[(Return to Top)](#table-of-contents)*](#return-to-toptable-of-contents)
-    * [2.2 Interpolate `atmos_average` to standard pressure coordinates](#22-interpolate-atmosaverage-to-standard-pressure-coordinates)
-      * [*[(Return to Top)](#table-of-contents)*](#return-to-toptable-of-contents)
-    * [2.3 Add mass stream function (`msf`) to the pressure-interpolated file](#23-add-mass-stream-function-msf-to-the-pressure-interpolated-file)
-      * [*[(Return to Top)](#table-of-contents)*](#return-to-toptable-of-contents)
-    * [2.4 Add density (`rho`) and mid-point altitude (`zfull`) to `atmos_average`](#24-add-density-rho-and-mid-point-altitude-zfull-to-atmosaverage)
-      * [*[(Return to Top)](#table-of-contents)*](#return-to-toptable-of-contents)
-    * [2.5 Interpolate `atmos_average` to standard altitude](#25-interpolate-atmosaverage-to-standard-altitude)
-      * [*[(Return to Top)](#table-of-contents)*](#return-to-toptable-of-contents)
-    * [2.6 Time-shift and pressure-interpolate the `diurn` file](#26-time-shift-and-pressure-interpolate-the-diurn-file)
-      * [*[(Return to Top)](#table-of-contents)*](#return-to-toptable-of-contents)
-    * [2.7 Apply a low-pass filter (`-lpf`) to the surface pressure (`ps`) and temperature (`ts`) in the `daily` file](#27-apply-a-low-pass-filter--lpf-to-the-surface-pressure-ps-and-temperature-ts-in-the-daily-file)
-      * [*[(Return to Top)](#table-of-contents)*](#return-to-toptable-of-contents)
-    * [2.8 Estimate the magnitude of the wind shear using CAP](#28-estimate-the-magnitude-of-the-wind-shear-using-cap)
-      * [*[(Return to Top)](#table-of-contents)*](#return-to-toptable-of-contents)
-    * [2.9 Calculate the column-integrated dust, water ice, and water vapor mixing ratios in the `daily` file](#29-calculate-the-column-integrated-dust-water-ice-and-water-vapor-mixing-ratios-in-the-daily-file)
-      * [*[(Return to Top)](#table-of-contents)*](#return-to-toptable-of-contents)
-    * [2.10 Display the values of `pfull`, then display the minimum, mean, and maximum near-surface temperatures `temp` over the globe](#210-display-the-values-of-pfull-then-display-the-minimum-mean-and-maximum-near-surface-temperatures-temp-over-the-globe)
-      * [*[(Return to Top)](#table-of-contents)*](#return-to-toptable-of-contents)
-    * [2.1b (for `/ACTIVECLDS`) Convert `fort.11` files into `netCDF` files](#21b-for-activeclds-convert-fort11-files-into-netcdf-files)
-    * [2.2b (for `/ACTIVECLDS`) Interpolate `atmos_average` to standard pressure](#22b-for-activeclds-interpolate-atmosaverage-to-standard-pressure)
-    * [2.5b (for `/ACTIVECLDS`) Interpolate `atmos_average` to standard altitude](#25b-for-activeclds-interpolate-atmosaverage-to-standard-altitude)
-      * [*[(Return to Top)](#table-of-contents)*](#return-to-toptable-of-contents)
-* [Optional: Download the Answer Key for Step 2](#optional-download-the-answer-key-for-step-2)
-      * [*[(Return to Top)](#table-of-contents)*](#return-to-toptable-of-contents)
-* [Break!](#break)
-      * [*[(Return to Top)](#table-of-contents)*](#return-to-toptable-of-contents)
-  * [3. Plotting Routines](#3-plotting-routines)
-      * [*[(Return to Top)](#table-of-contents)*](#return-to-toptable-of-contents)
-      * [*[(Return to Top)](#table-of-contents)*](#return-to-toptable-of-contents)
-    * [3.1 Create a global map of surface albedo (`alb`) with topography (`zsurf`) contoured on top](#31-create-a-global-map-of-surface-albedo-alb-with-topography-zsurf-contoured-on-top)
-      * [*[(Return to Top)](#table-of-contents)*](#return-to-toptable-of-contents)
-    * [3.2 Plot the zonal mean zonal wind cross-section at Ls=270° using altitude as the vertical coordinate](#32-plot-the-zonal-mean-zonal-wind-cross-section-at-ls270-using-altitude-as-the-vertical-coordinate)
-      * [*[(Return to Top)](#table-of-contents)*](#return-to-toptable-of-contents)
-    * [3.3 Add the same plot for the RAC case to the same page](#33-add-the-same-plot-for-the-rac-case-to-the-same-page)
-      * [*[(Return to Top)](#table-of-contents)*](#return-to-toptable-of-contents)
-    * [3.4 Overplot temperature in solid contours](#34-overplot-temperature-in-solid-contours)
-      * [*[(Return to Top)](#table-of-contents)*](#return-to-toptable-of-contents)
-    * [3.5 Plot the surface CO2 ice content in g/m2 and compute and plot surface wind speed from the U and V winds](#35-plot-the-surface-co2-ice-content-in-gm2-and-compute-and-plot-surface-wind-speed-from-the-u-and-v-winds)
-    * [3.6 Make the following changes to the plots you created in 3.5](#36-make-the-following-changes-to-the-plots-you-created-in-35)
-      * [*[(Return to Top)](#table-of-contents)*](#return-to-toptable-of-contents)
-    * [3.7 Create the following zonal mean `time X lat` plots on a new page](#37-create-the-following-zonal-mean-time-x-lat-plots-on-a-new-page)
-      * [*[(Return to Top)](#table-of-contents)*](#return-to-toptable-of-contents)
-    * [3.8 Plot the following two cross-sections (`lat X lev`) on the same page](#38-plot-the-following-two-cross-sections-lat-x-lev-on-the-same-page)
-      * [*[(Return to Top)](#table-of-contents)*](#return-to-toptable-of-contents)
-    * [3.9 Plot zonal mean temperature from the RIC and RAC cases](#39-plot-zonal-mean-temperature-from-the-ric-and-rac-cases)
-      * [*[(Return to Top)](#table-of-contents)*](#return-to-toptable-of-contents)
-    * [3.10 Generate two 1D temperature profiles (`temp`) from the RIC case](#310-generate-two-1d-temperature-profiles-temp-from-the-ric-case)
-      * [**NOTE:** You do not use `HOLD ON` and `HOLD OFF` to overplot 1D plots. `HOLD` is always for drawing separate plots on the same page](#note-you-do-not-use-hold-on-and-hold-off-to-overplot-1d-plots-hold-is-always-for-drawing-separate-plots-on-the-same-page)
-      * [*[(Return to Top)](#table-of-contents)*](#return-to-toptable-of-contents)
-    * [3.11 Plot the 1D filtered and unfiltered surface pressure over a 20-sol period](#311-plot-the-1d-filtered-and-unfiltered-surface-pressure-over-a-20-sol-period)
-      * [*[(Return to Top)](#table-of-contents)*](#return-to-toptable-of-contents)
-  * [That's a Wrap!](#thats-a-wrap)
-      * [*[(Return to Top)](#table-of-contents)*](#return-to-toptable-of-contents)
-<!-- /TOC -->
+![GCM workflow](./tutorial_images/GCM_Workflow_PRO.png)
 
-***
+CAP is a Python toolkit designed to simplify post-processing and plotting MGCM output. CAP consists of five Python executables:
 
-# Practical: The Community Analysis Pipeline (CAP)
+1. `MarsPull.py`  &rarr; accessing MGCM output
+2. `MarsFiles.py`  &rarr; reducing the files
+3. `MarsVars.py`  &rarr; performing variable operations
+4. `MarsInterp.py`  &rarr; interpolating the vertical grid
+5. `MarsPlot.py`  &rarr; plotting MGCM output
 
-**Recap:** CAP is a Python toolkit designed to simplify post-processing and plotting MGCM output. CAP consists of five Python executables:
+The following exercises are organized into two parts by function. We will go through **Part I on Monday Nov. 13** and **Part II on Tuesday Nov. 14**.
 
-1. `MarsPull.py` for accessing MGCM output
-2. `MarsFiles.py` for reducing the files
-3. `MarsVars.py` for performing variable operations
-4. `MarsInterp.py` for interpolating the vertical grid
-5. `MarsPlot.py` for visualizing the MGCM output
+**[Part I: File Manipulations](#part-i-file-manipulations) &rarr; `MarsFiles.py`, `MarsVars.py`, & `MarsInterp.py`**
 
-It is useful to divide these functions into three categories and explore them in order:
+**[Part II: Plotting with CAP](#part-ii-plotting-with-cap) &rarr; `MarsPlot.py`**
 
-1. [Retrieving Data](#1-retrieving-data) -> `MarsPull.py`
-2. [File Manipulations](#2-file-manipulations) -> `MarsFiles.py`, `MarsVars.py`, & `MarsInterp.py`
-3. [Plotting Routines](#3-plotting-routines) -> `MarsPlot.py`
+> We will not be going over `MarsPull.py` because it is specifically for retrieving MGCM data from the online MGCM data repository. Instructions for `MarsPull.py` was covered in the [2021 Legacy Version Tutorial](https://github.com/NASA-Planetary-Science/AmesCAP/blob/master/tutorial/CAP_Install.md).
 
-You already have experience using `MarsPull.py` for retrieving data, which was covered at the end of [CAP_Install.md](https://github.com/NASA-Planetary-Science/AmesCAP/blob/master/tutorial/CAP_Install.md). We will build on that knowledge in this tutorial. You may revisit the installation instructions at any time during the tutorial.
+***
 
-## Begin by Activating CAP
+## Table of Contents
 
-As always with CAP, you must activate the `amesCAP` virtual environment to access the Python executables:
+- [Practice Exercises - Community Analysis Pipeline (CAP)](#practice-exercises---community-analysis-pipeline-cap)
+  - [Table of Contents](#table-of-contents)
+  - [Activating CAP](#activating-cap)
+    - [Following Along with the Tutorial](#following-along-with-the-tutorial)
+- [Part I: File Manipulations](#part-i-file-manipulations)
+  - [1. MarsPlot's `--inspect` Function](#1-marsplots---inspect-function)
+  - [2. Editing Variable Names and Attributes](#2-editing-variable-names-and-attributes)
+  - [3. Splitting Files in Time](#3-splitting-files-in-time)
+  - [4. Deriving Secondary Variables](#4-deriving-secondary-variables)
+  - [5. Time-Shifting `Diurn` Files](#5-time-shifting-diurn-files)
+  - [6. Pressure-Interpolating the Vertical Axis](#6-pressure-interpolating-the-vertical-axis)
+- [Optional: Use the Answer Key for Part I](#optional-use-the-answer-key-for-part-i)
+- [CAP Practical Day 2](#cap-practical-day-2)
+- [Part II: Plotting with CAP](#part-ii-plotting-with-cap)
+  - [Step 1: Creating the Template (`Custom.in`)](#step-1-creating-the-template-customin)
+  - [Step 2: Editing `Custom.in`](#step-2-editing-customin)
+  - [Step 3: Generating the Plots](#step-3-generating-the-plots)
+- [Custom Set 1 of 4: Zonal Mean Surface Plots Over Time](#custom-set-1-of-4-zonal-mean-surface-plots-over-time)
+- [Custom Set 2 of 4: Global Mean Column-Integrated Dust Optical Depth Over Time](#custom-set-2-of-4-global-mean-column-integrated-dust-optical-depth-over-time)
+- [Custom Set 3 of 4: 50 Pa Temperatures at 3 AM and 3 PM](#custom-set-3-of-4-50-pa-temperatures-at-3-am-and-3-pm)
+- [Custom Set 4 of 4: Zonal Mean Circulation Cross-Sections](#custom-set-4-of-4-zonal-mean-circulation-cross-sections)
 
-```bash
-(local)>$ source ~/amesCAP/bin/activate      # bash
-(local)>$ source ~/amesCAP/bin/activate.csh  # csh/tcsh
-# ................... OR ...................
-(local)>$ source ~/amesCAP/Scripts/activate  # Windows
-```
-Your prompt should change to confirm you're in the virtual environment. Before continuing, make sure you're using the most up-to-date version of CAP by running:
+***
 
-```bash
-(amesCAP)>$ pip install git+https://github.com/NASA-Planetary-Science/AmesCAP.git --upgrade
-```
+## Activating CAP
 
-Then, confirm that CAP's executables are accessible by typing:
+Activate the `amesCAP` virtual environment to use CAP:
 
 ```bash
-(amesCAP)>$ MarsPull.py -h
+(cloud)~$ source ~/amesCAP/bin/activate
+(amesCAP)~$
 ```
-This is the `--help` argument, which shows the documentation for any of the `Mars*.py` executables.
-
-Let's begin with a review of the data retrieval process you performed when installing CAP ([CAP_Install.md](https://github.com/NASA-Planetary-Science/AmesCAP/blob/master-dev/tutorial/CAP_Install.md)).
-
-
-
-#### *[(Return to Top)](#table-of-contents)*
-***
-
-## 1. Retrieving Data
-
-### 1.1 Download MGCM Output with `MarsPull.py`
-#### Skip this if you have done it already!
 
-`MarsPull` is used to access and download MGCM output files from the [MCMC Data portal](https://data.nas.nasa.gov/legacygcm/data_legacygcm.php). During the installation, you were asked to:
-
-1. Create a directory called `/CAP_tutorial`
-2. Create two subdirectories: `/INERTCLDS` and `/ACTIVECLDS`
-3. Use `MarsPull` to download several `fort.11` files into each.
-
-In each subdirectory, `MarsPull` was used to retrieve files from the corresponding simulation on the data portal:
+Confirm that CAP's executables are accessible by typing:
 
 ```bash
-(amesCAP)>$ MarsPull.py -id INERTCLDS -ls 255 285    # in the /INERTCLDS directory
-# and
-(amesCAP)>$ MarsPull.py -id ACTIVECLDS -ls 255 285   # in the /ACTIVECLDS directory
+(amesCAP)~$ MarsVars.py -h
 ```
 
-You should have the following 5 `fort.11` files in each directory:
+The `--help [-h]` argument prints documentation for the executable to the terminal. Now that we know CAP is configured, make a copy of the file `amescap_profile` in your home directory, and make it a hidden file:
 
 ```bash
-(amesCAP)>$ ls CAP_tutorial/INERTCLDS
-> fort.11_0719 fort.11_0720 fort.11_0721 fort.11_0722 fort.11_0723
-(amesCAP)>$ ls CAP_tutorial/ACTIVECLDS
-> fort.11_0719 fort.11_0720 fort.11_0721 fort.11_0722 fort.11_0723
+(amesCAP)~$ cp ~/amesCAP/mars_templates/amescap_profile ~/.amescap_profile
 ```
 
-#### If you have any `fort.11` files **other than the ones listed above** in **either** directory, **delete** them.
+CAP stores useful settings in `amescap_profile`. Copying it to our home directory ensures it is not overwritten if CAP is updated or reinstalled.
 
+### Following Along with the Tutorial
 
+**Part I covers file manipulations**. Some exercises build off of previous exercises so *it is important to complete them in order*. If you make a mistake or get behind in the process, you can go back and catch up during a break or use the provided answer key before continuing on to Part II.
 
+**Part II demonstrates CAP's plotting routine**. There is more flexibility in this part of the exercise.
 
-#### *[(Return to Top)](#table-of-contents)*
-***
+**We will perform every exercise together.**
 
-## 2. File Manipulations
+> *Feel free to **put questions in the chat** throughout the tutorial. Another MGCM member can help you as we go.*
+>
+*[Return to Top](#table-of-contents)*
 
-We've retrieved the `fort.11` files from the data portal and we can now begin processing the data.
+# Part I: File Manipulations
 
-CAP's post-processing capabilities include interpolating and regridding data to different vertical coordinate systems, adding derived variables to the files, and converting between filetypes, just to name a few examples.
+CAP has dozens of post-processing capabilities. We will go over a few of the most commonly used functions in this tutorial. We will cover:
 
-The following exercises are designed to demonstrate how CAP can be used for post-processing MGCM output. Please follow along with the demonstration. **We will use the files created here to make plots with `MarsPlot` later, so do *not* delete anything!**
+- **Interpolating** data to different vertical coordinate systems (`MarsInterp.py`)
+- **Adding derived variables** to the files (`MarsVars.py`)
+- **Time-shifting** data to target local times (`MarsFiles.py`)
+- **Trimming** a file to reduce its size (`MarsFiles.py`).
 
-Begin in the `/INERTCLDS` directory and complete exercises 2.1-2.10:
+The required MGCM output files are already loaded in the cloud environment under `tutorial_files/cap_exercises/`. Change to that directory and look at the contents:
 
 ```bash
-(amesCAP)>$ cd ~/CAP_tutorial/INERTCLDS
+(amesCAP)~$ cd tutorial_files/cap_exercises
+(amesCAP)~$ ls
+03340.atmos_average.nc  03340.backup.zip  part_1_key.sh
+03340.atmos_diurn.nc    03340.fixed.nc    part_2_plots.in
 ```
 
+The three MGCM output files have a 5-digit sol number appended to the front of the file name. The sol number indicates the day that a file's record begins. These contain output from the sixth year of a simulation. The zipped file is an archive of these three output files in case you need it.
 
+The other two files, `part_1_key.sh` and `part_2_plots.sh` are discussed later. We can ignore them for now.
 
+> *The output files we manipulate in Part I will be used to generating plots in Part II so do **not** delete any file you create!*
 
-#### *[(Return to Top)](#table-of-contents)*
-***
-
-### 2.1 Convert the `fort.11` files into `netCDF` files
+Let's begin the tutorial.
 
-In the `/INERTCLDS` directory, type:
+## 1. MarsPlot's `--inspect` Function
 
-```bash
-(amesCAP)>$ MarsFiles.py fort.11_* -fv3 fixed average daily diurn
-```
+The inspect function is part of `MarsPlot.py` and it prints netCDF file contents to the screen.
 
-Several `netCDF` files were created from the `fort.11` files:
+To use it on the `average` file, `03340.atmos_average.nc`, type the following in the terminal:
 
 ```bash
-(amesCAP)>$ ls
-> 07180.atmos_average.nc  07190.atmos_average.nc  07200.atmos_average.nc  07210.atmos_average.nc  07220.atmos_average.nc
-> 07180.atmos_daily.nc    07190.atmos_daily.nc    07200.atmos_daily.nc    07210.atmos_daily.nc    07220.atmos_daily.nc
-> 07180.atmos_diurn.nc    07190.atmos_diurn.nc    07200.atmos_diurn.nc    07210.atmos_diurn.nc    07220.atmos_diurn.nc
-> 07180.fixed.nc          07190.fixed.nc          07200.fixed.nc          07210.fixed.nc          07220.fixed.nc
+(amesCAP)~$ MarsPlot.py -i 03340.atmos_average.nc
 ```
 
-Remember, the `netCDF` filetypes are:
+> This is a good time to remind you that if you are unsure how to use a function, invoke the `--help [-h]` argument with any executable to see its documentation (e.g., `MarsPlot.py -h`).
 
-| Type                  | Description |
-| --------------------- | ----------- |
-| `*atmos_fixed.nc`     | static variables that **do not change over time**           |
-| `*atmos_average.nc`   | **5-day averages** of MGCM output                           |
-| `*atmos_diurn.nc`     | files contain **hourly** MGCM output averaged over 5 days   |
-| `*atmos_daily.nc`     | **continuous time series** of the MGCM output               |
+*[Return to Part I](#part-i-file-manipulations)*
 
-> **NOTE:** the 5-digit sol number at the begining of each `netCDF` file indicates when the file's records begin. These files are pulled from a simulation that was warm-started from a 10 year run. `10 years x ~668 sols/year = 6680 sols`. The earliest date on these files is 07180 (the middle of the year).
+***
+
+## 2. Editing Variable Names and Attributes
 
+In the previous exercise, `--inspect [-i]` revealed a variable called `opac` in `03340.atmos_average.nc`. `opac` is dust opacity per pascal and it is similar to another variable in the file, `dustref`, which is opacity per (model) level. Let's rename `opac` to `dustref_per_pa` to better indicate the relationship between these variables.
 
-For easier post-processing and plotting, concatenate like-filetypes along the `time` axis:
+We can modify variable names, units, longnames, and even scale variables using the `-edit` function in `MarsVars.py`. The syntax for editing the variable name is:
 
 ```bash
-(amesCAP)>$ MarsFiles.py *fixed.nc -c
-(amesCAP)>$ MarsFiles.py *average.nc -c
-(amesCAP)>$ MarsFiles.py *diurn.nc -c
-(amesCAP)>$ MarsFiles.py *daily.nc -c
+(amesCAP)~$ MarsVars.py 03340.atmos_average.nc -edit opac -rename dustref_per_pa
+03340.atmos_average_tmp.nc was created
+03340.atmos_average.nc was updated
 ```
 
-Our directory now contains **four** `netCDF` files in addition to the `fort.11` files:
+We can use `--inspect [-i]` again to confirm that `opac` was renamed `dustref_per_pa`:
 
 ```bash
-(amesCAP)>$ ls
-> 07180.atmos_fixed.nc    fort.11_0719    fort.11_0723
-> 07180.atmos_average.nc  fort.11_0720
-> 07180.atmos_diurn.nc    fort.11_0721
-> 07180.atmos_daily.nc    fort.11_0722
+(amesCAP)~$ MarsPlot.py -i 03340.atmos_average.nc
 ```
 
-
-
-
-#### *[(Return to Top)](#table-of-contents)*
-***
-
-### 2.2 Interpolate `atmos_average` to standard pressure coordinates
-
-This step uses `MarsInterp`, and the documentation can be viewed using the `--help` argument:
+The `--inspect [-i]` function can also **print a summary of the values** of a variable to the screen. For example:
 
 ```bash
-(amesCAP)>$ MarsInterp.py -h
+(amesCAP)~$ MarsPlot.py -i 03340.atmos_average.nc -stat dustref_per_pa
+_________________________________________________________
+  VAR           |   MIN     |    MEAN     |    MAX      |
+________________|___________|_____________|_____________|
+  dustref_per_pa|          0|  0.000384902|    0.0017573|
+________________|___________|_____________|_____________|
 ```
 
-Use the `--type` (`-t`) argument to interpolate the file to standard pressure coordinates (`pstd`):
+Finally, `--inspect [-i]` can **print the values** of a variable to the screen. For example:
 
 ```bash
-(amesCAP)>$ MarsInterp.py 07180.atmos_average.nc -t pstd
+(amesCAP)~$ MarsPlot.py -i 03340.atmos_average.nc -dump lat
+lat= 
+[-89. -87. -85. -83. -81. -79. -77. -75. -73. -71. -69. -67. -65. -63.
+ -61. -59. -57. -55. -53. -51. -49. -47. -45. -43. -41. -39. -37. -35.
+ -33. -31. -29. -27. -25. -23. -21. -19. -17. -15. -13. -11.  -9.  -7.
+  -5.  -3.  -1.   1.   3.   5.   7.   9.  11.  13.  15.  17.  19.  21.
+  1.   25.  27.  29.  31.  33.  35.  37.  39.  41.  43.  45.  47.  49.
+  2.   53.  55.  57.  59.  61.  63.  65.  67.  69.  71.  73.  75.  77.
+  3.   81.  83.  85.  87.  89.]
 ```
 
-A new pressure-interpolated file called `07180.atmos_average_pstd.nc` was created and the original file was preserved.
+*[Return to Part I](#part-i-file-manipulations)*
 
-
-
-
-#### *[(Return to Top)](#table-of-contents)*
 ***
 
-### 2.3 Add mass stream function (`msf`) to the pressure-interpolated file
+## 3. Splitting Files in Time
+
+Next we're going to trim the `diurn` and `average` files by L$_s$. We'll create files that only contain data around southern summer solstice, L$_s$=270. This greatly reduces the file size to make our next post-processing steps more efficient.
 
-This step uses `MarsVars`, and the documentation can be viewed using the `--help` argument:
+Syntax for trimming files by L$_s$ is:
 
 ```bash
-(amesCAP)>$ MarsVars.py -h
+(amesCAP)~$ MarsFiles.py 03340.atmos_diurn.nc -split 265 275
+...
+/home/centos/tutorial_files/cap_exercises/03847.atmos_diurn_Ls265_275.nc was created
 ```
 
-Adding or removing variables from files is done using the `-add` and `-rem` arguments in the call to `MarsVars`. `msf` is a variable derived from the meridional wind (`vcomp`), so we must first confirm that `vcomp` is indeed a variable in `07180.atmos_average_pstd.nc` by using the `MarsPlot.py --inspect (-i)` command to list the variables in the file:
-
-```python
-(amesCAP)>$ MarsPlot.py -i 07180.atmos_average_pstd.nc
-
-> ===================DIMENSIONS==========================
-> ['lat', 'lon', 'phalf', 'time', 'pstd']
-> .. (etc) ..
-> ====================CONTENT==========================
-> .. (etc) ..
-> vcomp          : ('time', 'pstd', 'lat', 'lon')= (10, 36, 36, 60), meridional wind  [m/s]
-> .. (etc) ..
-> Ls ranging from 255.42 to 284.19: 45.00 days
->                (MY 01)   (MY 01)
-> =====================================================
+```bash
+(amesCAP)~$ MarsFiles.py 03340.atmos_average.nc -split 265 275
+...
+/home/centos/tutorial_files/cap_exercises/03847.atmos_average_Ls265_275.nc was created
 ```
 
-We can see that `vcomp` is a variable in the file and therefore `msf` can be derived and added:
+The trimmed files have the appendix `_Ls265_275.nc` and the simulation day has changed from `03340` to `03847` to reflect that the first day in the file has changed.
+
+For future steps, we need a `fixed` file with the same simulation day number as the files we just created, so make a copy of the `fixed` file and rename it:
 
 ```bash
-(amesCAP)>$ MarsVars.py 07180.atmos_average_pstd.nc -add msf
+(amesCAP)~$ cp 03340.fixed.nc 03847.fixed.nc
 ```
 
-> **Note:** `msf` should not be added before pressure-interpolating the file because it is derived on pressure coordinates.
+*[Return to Part I](#part-i-file-manipulations)*
 
+***
 
-**`MarsPlot.py -i` works on any netCDF file, not just the ones created with CAP!**
+## Break
 
+**Take 15 minutes** to stretch, ask questions, or let us know your thoughts on CAP so far!
 
-#### *[(Return to Top)](#table-of-contents)*
 ***
 
-### 2.4 Add density (`rho`) and mid-point altitude (`zfull`) to `atmos_average`
+## 4. Deriving Secondary Variables
 
-This step also uses the `-add` function from `MarsVars`:
+The `--add` function in `MarsVars.py` derives and adds secondary variables to MGCM output files provided that the variable(s) required for the derivation are already in the file. We will add the meridional mass streamfunction (`msf`) to the trimmed `average` file. To figure out what we need in order to do this, use the `--help [-h]` function on `MarsVars.py`:
 
 ```bash
-(amesCAP)>$ MarsVars.py 07180.atmos_average.nc -add rho zfull
+(amesCAP)~$ MarsVars.py -h
 ```
 
-Density (`rho`) is derived from pressure (`pfull`) and temperature (`temp`), and mid-point altitude (`zfull`) is obtained via hydrostatic integration.
-
-> **Note:** `rho` and `zfull` must be added to a file before interpolating to another vertical coordinate. Unlike `msf`, these variables are computed on the native model grid and will not be properly calculated on any other vertical grid.
+The help function shows that streamfunction (`msf`) requires two things: that the meridional wind (`vcomp`) is in the `average` file, and that the `average` file is ***pressure-interpolated***.
 
+First, confirm that `vcomp` is in `03847.atmos_average_Ls265_275.nc` using `--inspect [-i]`:
 
+```python
+(amesCAP)~$ MarsPlot.py -i 03847.atmos_average_Ls265_275.nc
+...
+vcomp : ('time', 'pfull', 'lat', 'lon')= (3, 56, 90, 180), meridional wind  [m/sec]
+```
 
+Second, pressure-interpolate the average file using `MarsInterp.py`. The call to `MarsInterp.py` requires:
 
+- The interpolation type (`--type [-t]`), we will use standard pressure coorindates (`pstd`)
+- The grid to interpolate to (`--level [-l]`), we will use the default pressure grid (`pstd_default`)
 
+> All interpolation types are listed in the `--help [-h]` documentation for `MarsInterp.py`. Additional grids are listed in `~/.amescap_profile`, which accepts user-input grids as well.
 
-#### *[(Return to Top)](#table-of-contents)*
-***
-### 2.5 Interpolate `atmos_average` to standard altitude
+We will also specify that only temperature (`temp`), winds (`ucomp` and `vcomp`), and surface pressure (`ps`) are to be included in this new file using `-include`. This will reduce the interpolated file size.
 
-Now that `rho` and `zfull` have been added to `07180.atmos_average.nc`, interpolating the file to standard altitude will include those variables in the new file (`07180.atmos_average_zstd.nc`):
+Finally, add the `--grid [-g]` flag at the end of prompt to print out the standard pressure grid levels that we are interpolating to:
 
 ```bash
-(amesCAP)>$ MarsInterp.py 07180.atmos_average.nc -t zstd
+(amesCAP)~$ MarsInterp.py 03847.atmos_average_Ls265_275.nc -t pstd -l pstd_default -include temp ucomp vcomp ps -g
+1100.0 1050.0 1000.0 950.0 900.0 850.0 800.0 750.0 700.0 650.0 600.0 550.0 500.0 450.0 400.0 350.0 300.0 250.0 200.0 150.0 100.0 70.0 50.0 30.0 20.0 10.0 7.0 5.0 3.0 2.0 1.0 0.5 0.3 0.2 0.1 0.05
 ```
 
-Your `/INERTCLDS` directory should now contain the fort.11 files and six `netCDF` files:
+To perform the interpolation, simply omit the `--grid [-g]` flag:
 
 ```bash
-> 07180.atmos_fixed.nc    07180.atmos_average_pstd.nc    fort.11_0721
-> 07180.atmos_average.nc  07180.atmos_average_zstd.nc    fort.11_0722
-> 07180.atmos_diurn.nc    fort.11_0719                   fort.11_0723
-> 07180.atmos_daily.nc    fort.11_0720
+(amesCAP)~$ MarsInterp.py 03847.atmos_average_Ls265_275.nc -t pstd -l pstd_default -include temp ucomp vcomp ps
+...
+/home/centos/tutorial_files/cap_exercises/03847.atmos_average_Ls265_275_pstd.nc was created
 ```
 
-Use the inspect (`MarsPlot.py -i`) function to confirm that:
-
-- The original file (`07180.atmos_average.nc`) contains `rho` and `zfull` but not `msf`.  
-- The altitude-interpolated file (`07180.atmos_average_zstd.nc`) contains `rho` and `zfull` but not `msf`.
-- The pressure-interpolated file (`07180.atmos_average_pstd.nc`) contains `msf` but not `rho` or `zfull`.
+Now we have a pressure-interpolated `average` file with `vcomp` in it. We can derive and add `msf` to it using `MarsVars.py`:
 
 ```bash
-(amesCAP)>$ MarsPlot.py -i 07180.atmos_average.nc          # contains rho, zfull, not msf
-(amesCAP)>$ MarsPlot.py -i 07180.atmos_average_zstd.nc     # contains rho, zfull, not msf
-(amesCAP)>$ MarsPlot.py -i 07180.atmos_average_pstd.nc     # contains msf
+(amesCAP)~$ MarsVars.py 03847.atmos_average_Ls265_275_pstd.nc -add msf
+Processing: msf...
+msf: Done
 ```
 
+*[Return to Part I](#part-i-file-manipulations)*
 
+***
 
+## 5. Time-Shifting `Diurn` Files
 
+The `diurn` file is organized by time-of-day assuming ***universal*** time starting at the Martian prime meridian. The time-shift `--tshift [-t]` function interpolates the `diurn` file to ***uniform local***  time. This is especially useful when comparing MGCM output to satellite observations in fixed local time orbit.
 
+Time-shifting can only be done on files with a local time dimension (`time_of_day_24`, i.e. `diurn` files). By default, `MarsFiles.py` time shifts all of the data in the file to 24 uniform local times and this generates very large files. To reduce file size and processing time, we will time-shift the data only to the local times we are interested in: 3 AM and 3 PM.
 
+Time-shift the temperature (`temp`) and surface pressure (`ps`) in the trimmed `diurn` file to 3 AM / 3 PM local time like so:
 
+```bash
+(amesCAP)~$ MarsFiles.py 03847.atmos_diurn_Ls265_275.nc -t '3. 15.' -include temp ps
+...
+/home/centos/tutorial_files/cap_exercises/03847.atmos_diurn_Ls265_275_T.nc was created
+```
 
+A new `diurn` file called `03847.atmos_diurn_Ls265_275_T.nc` is created. Use `--inspect [-i]` to confirm that only `ps` and `temp` (and their dimensions) are in the file and that the `time_of_day` dimension has a length of 2:
 
-#### *[(Return to Top)](#table-of-contents)*
-***
-
-### 2.6 Time-shift and pressure-interpolate the `diurn` file
-
-The time-shift function is part of `MarsFiles` and pressure-interpolating is, as we know, part of `MarsInterp`. We'll start by pressure-interpolating the file, **but note that these functions can be used in either order.**
+```python
+(amesCAP)~$ MarsPlot.py -i 03847.atmos_diurn_Ls265_275_T.nc
+...
+====================CONTENT==========================
+time           : ('time',)= (3,), sol number  [days since 0000-00-00 00:00:00]
+time_of_day_02 : ('time_of_day_02',)= (2,), time of day  [[hours since 0000-00-00 00:00:00]]
+pfull          : ('pfull',)= (56,), ref full pressure level  [mb]
+scalar_axis    : ('scalar_axis',)= (1,), none  [none]
+lon            : ('lon',)= (180,), longitude  [degrees_E]
+lat            : ('lat',)= (90,), latitude  [degrees_N]
+areo           : ('time', 'time_of_day_02', 'scalar_axis')= (3, 2, 1), areo  [degrees]
+ps             : ('time', 'time_of_day_02', 'lat', 'lon')= (3, 2, 90, 180), surface pressure  [Pa]
+temp           : ('time', 'time_of_day_02', 'pfull', 'lat', 'lon')= (3, 2, 56, 90, 180), temperature  [K]
+=====================================================
+```
 
+*[Return to Part I](#part-i-file-manipulations)*
 
-The `diurn` file is organized by time-of-day assuming **universal time** beginning at the Martian prime meridian. Time-shifting the file converts the file to **uniform local time**, which is useful for comparing MGCM output to observations from satellites in fixed local time orbit, for example. Time-shifting can only be done on the `diurn` files because these contain a local time dimension (`ltst`).
+***
 
-For this exercise, include only the surface pressure (`ps`), surface temperature (`ts`), and atmospheric temperature (`temp`) variables. This will minimize file size and processing time.
+## 6. Pressure-Interpolating the Vertical Axis
 
-Time-shift `ps`, `ts`, and `temp` using `MarsFiles`:
+Now we can efficiently interpolate the `diurn` file to the standard pressure grid. Recall that interpolation is part of `MarsInterp.py` and requires:
 
-```bash
-(amesCAP)>$ MarsFiles.py 07180.atmos_diurn.nc -t --include ts ps temp
-```
+1. Interpolation type (`--type [-t]`), and
+2. Grid (`--level [-l]`)
 
-This created a new file ending in `_T.nc` and containing only `ts`, `ps`, `temp`, and their relevant dimensions. Now, pressure-interpolate the file using `MarsInterp`:
+As before, we will interpolate to standard pressure (`pstd`) using the default pressure grid in `.amesgcm_profile` (`pstd_default`):
 
 ```bash
-(amesCAP)>$ MarsInterp.py 07180.atmos_diurn_T.nc -t pstd
+(amesCAP)~$ MarsInterp.py 03847.atmos_diurn_Ls265_275_T.nc -t pstd -l pstd_default
+...
+/home/centos/tutorial_files/cap_exercises/03847.atmos_diurn_Ls265_275_T_pstd.nc was created
 ```
 
-This should take just over a minute.
-
-> **Note:** Interpolating large files (such as `daily` or `diurn` files) with CAP can take a long time because the code is written in Python. That's why we are only including three variables (`ps`, `ts`, and `temp`) in this particular demonstration.
+> **Note:** Interpolation could be done before or after time-shifting, the order does not matter.
 
-After time-shifting and pressure-interpolating, `/INERTCLDS` should contain three `diurn` files:
+We now have four different `diurn` files in our directory:
 
 ```bash
-> 07180.atmos_diurn.nc  07180.atmos_diurn_T.nc  07180.atmos_diurn_T_pstd.nc
+03340.atmos_diurn.nc                  # Original MGCM file
+03847.atmos_diurn_Ls265_275.nc        # + Trimmed to Ls=265-275
+03847.atmos_diurn_Ls265_275_T.nc      # + Time-shifted; `ps` and `temp` only
+03847.atmos_diurn_Ls265_275_T_pstd.nc # + Pressure-interpolated
 ```
 
-> **Note:** We will *not* do this here, but you can create custom vertical grids that you want CAP to interpolate to. See the documentation for `MarsInterp` for more information.
-
-
+CAP always adds an appendix to the name of any new file it creates. This helps users keep track of what was done and in what order. The last file we created was trimmed, time-shifted, then pressure-interpolated. However, the same file could be generated by performing the three functions in any order.
 
+*[Return to Part I](#part-i-file-manipulations)*
 
+# Optional: Use the Answer Key for Part I
 
-#### *[(Return to Top)](#table-of-contents)*
-***
-
-### 2.7 Apply a low-pass filter (`-lpf`) to the surface pressure (`ps`) and temperature (`ts`) in the `daily` file
+This concludes Part I of the tutorial! If you messed up one of the exercises somewhere, you can run the `part_1_key.sh` script in this directory. It will delete the files you've made and performs all 6 Exercises in Part I for you. To do this, follow the steps below.
 
-Temporal filtering and tidal analyses are functions of `MarsFiles`. The low-pass filter argument requires a cutoff frequency, `sol_max`. Here, we use a 2-sol cut-off frequency to isolate synoptic-scale features. Include only `ps` and `ts` in the new file:
+1. Source the `amesCAP` virtual environment
+2. Change to the `tutorial_files/cap_exercises/` directory
+3. Run the executable:
 
 ```bash
-(amesCAP)>$ MarsFiles.py 07180.atmos_daily.nc -lpf 2 -include ps ts
+(amesCAP)~$ ./part_1_key.sh
 ```
 
-This created `07180.atmos_daily_lpf.nc` containing only `ps`, `ts`, and their relevant dimensions.
+The script will do all of Part I for you. This ensures you can follow along with the plotting routines in Part II.
 
+*[Return to Part I](#part-i-file-manipulations)*
 
+# CAP Practical Day 2
 
+This part of the CAP Practical covers how to generate plots with CAP. We will take a learn-by-doing approach, creating five sets of plots that demonstrate some of CAP's most often used plotting capabilities:
 
+1. [Custom Set 1 of 4: Zonal Mean Surface Plots Over Time](#custom-set-1-of-4-zonal-mean-surface-plots-over-time)
+2. [Custom Set 2 of 4: Global Mean Column-Integrated Dust Optical Depth Over Time](#custom-set-2-of-4-global-mean-column-integrated-dust-optical-depth-over-time)
+3. [Custom Set 3 of 4: 50 Pa Temperatures at 3 AM and 3 PM](#custom-set-3-of-4-50-pa-temperatures-at-3-am-and-3-pm)
+4. [Custom Set 4 of 4: Zonal Mean Circulation Cross-Sections](#custom-set-4-of-4-zonal-mean-circulation-cross-sections)
 
+Plotting with CAP is done in 3 steps:
 
+[Step 1: Creating the Template (`Custom.in`)](#step-1-creating-the-template-customin)
 
-#### *[(Return to Top)](#table-of-contents)*
-***
+[Step 2: Editing `Custom.in`](#step-2-editing-customin)
 
-### 2.8 Estimate the magnitude of the wind shear using CAP
+[Step 3: Generating the Plots](#step-3-generating-the-plots)
 
-This can be done by vertically-differentiating the zonal (U) and meridional (V) winds, i.e. computing dU/dz and dV/dz. The U and V winds are output by the model as `ucomp` and `vcomp`, respectively.
+As in Part I, we will go through these steps together.
 
-You already know that `MarsVars` is used for adding variables, however, the `-add` argument will not work here. Instead, there is a call specifically for vertical differentiation called `-zdiff`.
+# Part II: Plotting with CAP
 
-Compute and add dU/dz and dV/dz to `07180.atmos_average_zstd.nc` using `-zdiff`:
+CAP's plotting routine is `MarsPlot.py`. It works by generating a `Custom.in` file containing seven different plot templates that users can modify, then reading the `Custom.in` file to make the plots.
 
-```bash
-(amesCAP)>$ MarsVars.py 07180.atmos_average_zstd.nc -zdiff ucomp vcomp
-```
+The plot templates in `Custom.in` include:
 
-Using the inspect (`MarsPlot.py -i`) function, we can see the new variables in the file:
+| Plot Type     | X, Y Dimensions     | Name in `Custom.in`|
+| :---          | :---                |:---                |
+| Map           | Longitude, Latitude |`Plot 2D lon x lat` |
+| Time-varying  | Time, Latitude      |`Plot 2D time x lat`|
+| Time-varying  | Time, level         |`Plot 2D time x lev`|
+| Time-varying  | Longitude, Time     |`Plot 2D lon x time`|
+| Cross-section | Longitude, Level    |`Plot 2D lon x lev` |
+| Cross-section | Latitude, Level     |`Plot 2D lat x lev` |
+| Line plot (1D)| Dimension*, Variable|`Plot 1D`           |
 
-```bash
-(amesCAP)>$ MarsPlot.py -i 07180.atmos_average_zstd.nc
-> ===================DIMENSIONS==========================
-> ['lat', 'lon', 'phalf', 'time', 'zstd']
-> .. (etc) ..
-> ====================CONTENT==========================
-> .. (etc) ..
-> d_dz_ucomp     : ('time', 'zstd', 'lat', 'lon')= (10, 45, 36, 60), vertical gradient of zonal wind  [m/s/m]]
-> d_dz_vcomp     : ('time', 'zstd', 'lat', 'lon')= (10, 45, 36, 60), vertical gradient of meridional wind  [m/m]]
-> .. (etc) ..
->
-> Ls ranging from 255.42 to 284.19: 45.00 days
->                (MY 01)   (MY 01)
-> =====================================================
-```
+> *Dimension is user-indicated and could be time (`time`), latitude (`lat`), longitude `lon`, or level (`pfull`, `pstd`, `zstd`, `zagl`).
 
+Additionally, `MarsPlot.py` supports:
 
+- PDF & image format
+- Landscape & portrait mode
+- Multi-panel plots
+- Overplotting
+- Customizable axes dimensions and contour intervals
+- Adjustable colormaps and map projections
 
+and so much more. You will learn to plot with `MarsPlot.py` by following along with the demonstration. We will generate the `Custom.in` template file, customize it, and pass it back into `MarsPlot.py` to create plots.
 
+*[Return to Part II](#cap-practical-day-2)*
 
-#### *[(Return to Top)](#table-of-contents)*
 ***
 
+## Step 1: Creating the Template (`Custom.in`)
 
-### 2.9 Calculate the column-integrated dust, water ice, and water vapor mixing ratios in the `daily` file
-
-Similar to the -`zdiff` function, `MarsVars` has a `-col` function that performs a column integration on specified variables.
-
-Column-integrate the dust, water ice, and water vapor mixing ratios like so:
-
-```bash
-(amesCAP)>$ MarsVars.py 07180.atmos_daily.nc -col dst_mass ice_mass vap_mass
-```
-
-Using the inspect (`MarsPlot.py -i`) function, we can see the new variables in the file:
+Generate the template file, `Custom.in`:
 
 ```bash
-(amesCAP)>$ MarsPlot.py -i 07180.atmos_daily.nc
-> ===================DIMENSIONS==========================
-> ['lat', 'lon', 'pfull', 'phalf', 'zgrid', 'scalar_axis', 'time']
-> .. (etc) ..
-> ====================CONTENT==========================
-> .. (etc) ..
-> dst_mass_col   : ('time', 'lat', 'lon')= (800, 36, 60), column integration of dust aerosol mass mixing ratio  [kg/m2]
-> ice_mass_col   : ('time', 'lat', 'lon')= (800, 36, 60), column integration of water ice aerosol mass mixing ratio  [kg/m2]
-> vap_mass_col   : ('time', 'lat', 'lon')= (800, 36, 60), column integration of water vapor mass mixing ratio  [kg/m2]
-> dst_mass       : ('time', 'pfull', 'lat', 'lon')= (800, 24, 36, 60), dust aerosol mass mixing ratio  [kg/kg]
-> ice_mass       : ('time', 'pfull', 'lat', 'lon')= (800, 24, 36, 60), water ice aerosol mass mixing ratio  [kg/kg]
-> vap_mass       : ('time', 'pfull', 'lat', 'lon')= (800, 24, 36, 60), water vapor mass mixing ratio  [kg/kg]
->
-> Ls ranging from 254.12 to 286.06: 49.94 days
->                (MY 01)   (MY 01)
-> =====================================================
+(amesCAP)~$ MarsPlot.py -template
+/home/centos/tutorial_files/cap_exercises/Custom.in was created 
 ```
 
+A new file called `Custom.in` is created in your current working directory.
 
+***
 
+## Step 2: Editing `Custom.in`
 
+Open `Custom.in` using `vim`:
 
+```bash
+(amesCAP)~$ vim Custom.in
+```
 
+Scroll down until you see the first two templates shown in the image below:
 
+![custom input template](./tutorial_images/Custom_Templates.png)
 
+Since all of the templates have a similar structure, we can broadly describe how `Custom.in` works by going through the templates line-by-line.
 
-#### *[(Return to Top)](#table-of-contents)*
-***
-
-
-### 2.10 Display the values of `pfull`, then display the minimum, mean, and maximum near-surface temperatures `temp` over the globe
+### Line 1
 
-Here, we build on our knowledge of the inspect (`MarsPlot.py -i`) function. We already know that `MarsPlot.py -i` displays the variables in a file and information about the file, but `--inspect` can be combined with `--dump` and `--stat` to show more information about specific variables.
+``` python
+# Line 1                ┌ plot type  ┌ whether to create the plot
+<<<<<<<<<<<<<<| Plot 2D lon X lat = True |>>>>>>>>>>>>>
+```
 
+Line 1 indicates the **plot type** and **whether to create the plot** when passed into `MarsPlot.py`.
 
-Display values of `pfull` in `07180.atmos_average.nc` using `--dump`:
+### Line 2
 
-```bash
-(amesCAP)>$ MarsPlot.py -i 07180.atmos_average.nc -dump pfull
-> pfull=
-> [8.7662227e-02 2.5499690e-01 5.4266089e-01 1.0518962e+00 1.9545468e+00
-> 3.5580616e+00 6.2466631e+00 1.0509957e+01 1.7400265e+01 2.8756382e+01
-> 4.7480076e+01 7.8348366e+01 1.2924281e+02 2.0770235e+02 3.0938846e+02
-> 4.1609518e+02 5.1308148e+02 5.9254102e+02 6.4705731e+02 6.7754218e+02
-> 6.9152936e+02 6.9731799e+02 6.9994830e+02 7.0082477e+02]
-> ______________________________________________________________________
+``` python
+# Line 2         ┌ file ┌ variable
+Title          = None
 ```
 
-As you can see, `--dump` is a kind of analog for the NCL command `ncdump`.
+Line 2 is where we set the plot title.
 
-Indexing specific values of `pfull` is done using quotes and square brackets:
+### Line 3
 
-```bash
-(amesCAP)>$ MarsPlot.py -i 07180.atmos_average.nc -dump 'pfull[-1]'
-> pfull[-1]=
-> 700.8247680664062
-> ______________________________________________________________________
+``` python
+# Line 3         ┌ file ┌ variable
+Main Variable  = fixed.zsurf          # file.variable
+Main Variable  = [fixed.zsurf]/1000   # [] brackets for mathematical operations
+Main Variable  = diurn_T.temp{tod=3}  # {} brackets for dimension selection
 ```
 
-Indexing the last array element with `-1` (Python syntax), we can see the reference pressure of the first layer above the surface in the MGCM.
+Line 3 indicates the **variable** to plot and the **file** from which to pull the variable.
 
-> **Note:** quotes `''` are necessary when browsing dimensions.
+Additional customizations include:
 
-The minimum, mean, and maximum values of a variable are computed and displayed in the terminal with the `-stat` argument. `-stat` is better suited for visualizing statistics over large arrays like the four-dimensional temperature variable (`temp`). Given the dimensions of the `temp` variable, `[time,pfull,lat,lon]`, use `-stat` to display the minimum, mean, and maximum **near-surface air temperature (over all timesteps and all locations)**:
+- Element-wise operations (e.g., scaling by a factor)
+- Dimensional selection (e.g., selecting the time of day (`tod`) at which to plot from a time-shifted diurn file)
 
-```bash
-(amesCAP)>$ MarsPlot.py -i 07180.atmos_average.nc -stat 'temp[:,-1,:,:]'
-> __________________________________________________________________________
->            VAR            |      MIN      |      MEAN     |      MAX      |
-> __________________________|_______________|_______________|_______________|
->             temp[:,-1,:,:]|        149.016|        202.508|         251.05|
-> __________________________|_______________|_______________|_______________|
+### Line 4
+
+``` python
+# Line 4
+Cmin, Cmax     = None           # automatic, or
+Cmin, Cmax     = -4,5           # contour limits, or
+Cmin, Cmax     = -4,-2,0,1,3,5  # explicit contour levels
 ```
 
-#### *[(Return to Top)](#table-of-contents)*
-***
+Line 4 line defines the **color-filled contours** for `Main Variable`. Valid inputs are:
 
-and... that's it for post-processing the data in the RIC simulation!
+- `None` (default) enables Python's automatic interpretation of the contours
+- `min,max` specifies contour range
+- `X,Y,Z,...,N` gives explicit contour levels
 
-Before moving on to plotting, we need to repeat some of these steps for the RAC simulation. Feel free to repeat all of Steps 2.1-2.10 for the RAC case if you like, but **you are only required to repeat Steps 2.1, 2.2, and 2.5** for this tutorial. For simplicity, we've summarized these steps here:
+### Lines 5 & 6
 
+```python
+# Lines 5 & 6
+Ls 0-360       = None # for 'time' free dimension
+Level Pa/m     = None # for 'pstd' free dimension
+```
 
-***
+Lines 5 & 6 handle the **free dimension(s)** for `Main Variable` (the dimensions that are ***not*** plot dimensions).
 
-### 2.1b (for `/ACTIVECLDS`) Convert `fort.11` files into `netCDF` files
+For example, `temperature` has four dimensions: `(time, pstd, lat, lon)`. For a `2D lon X lat` map of temperature, `lon` and `lat` provide the `x` and `y` dimensions of the plot. The free dimensions are then `pstd` (`Level Pa/m`) and `time` (`Ls 0-360`).
 
-In the `/ACTIVECLDS` directory, use `MarsFiles` to convert from `fort.11` to `netCDF`, and then concatenate the files along their `time` axes:
+Lines 5 & 6 accept four input types:
 
-```bash
-(amesCAP)>$ MarsFiles.py fort.11_* -fv3 fixed average daily diurn
-(amesCAP)>$ MarsFiles.py *fixed.nc -c
-(amesCAP)>$ MarsFiles.py *average.nc -c
-(amesCAP)>$ MarsFiles.py *diurn.nc -c
-(amesCAP)>$ MarsFiles.py *daily.nc -c
+1. `integer` selects the closest value
+2. `min,max` averages over a range of the dimension
+3. `all` averages over the entire dimension
+4. `None` (default) depends on the free dimension:
+
+```python
+# ┌ free dimension      ┌ default setting
+Ls 0-360       = None   # most recent timestep
+Level Pa/m     = None   # surface level
+Lon +/-180     = None   # zonal mean over all longitudes
+Latitude       = None   # equatorial values only
 ```
 
-`/ACTIVECLDS` should now contain the original `fort.11` files and just **four** `netCDF` files:
+### Lines 7 & 8
 
-```bash
-> 07180.atmos_fixed.nc    fort.11_0719    fort.11_0723
-> 07180.atmos_average.nc  fort.11_0720
-> 07180.atmos_diurn.nc    fort.11_0721
-> 07180.atmos_daily.nc    fort.11_0722
+``` python
+# Line 7 & 8
+2nd Variable   = None           # no solid contours
+2nd Variable   = fixed.zsurf    # draw solid contours
+Contours Var 2  = -4,5          # contour range, or
+Contours Var 2  = -4,-2,0,1,3,5 # explicit contour levels
 ```
 
-***
-
-### 2.2b (for `/ACTIVECLDS`) Interpolate `atmos_average` to standard pressure
+Lines 7 & 8 (optional) define the **solid contours** on the plot. Contours can be drawn for `Main Variable` or a different `2nd Variable`.
 
-Use `MarsInterp`'s' `--type` (`-t`) command to create `07180.atmos_average_pstd.nc`.:
+- Like `Main Variable`, `2nd Variable` minimally requires `file.variable`
+- Like `Cmin, Cmax`, `Contours Var 2` accepts a range (`min,max`) or list of explicit contour levels (`X,Y,Z,...,N`)
 
-```bash
-(amesCAP)>$ MarsInterp.py 07180.atmos_average.nc -t pstd
-```
+### Line 9
 
+```python
+# Line 9        ┌ X axes limit      ┌ Y axes limit      ┌ colormap   ┌ cmap scale  ┌ projection
+ Axis Options : lon = [None,None] | lat = [None,None] | cmap = jet | scale = lin | proj = cart
+ ```
 
-***
+Finally, Line 9 offers plot customization (e.g., axes limits, colormaps, map projections, linestyles, 1D axes labels).
 
-### 2.5b (for `/ACTIVECLDS`) Interpolate `atmos_average` to standard altitude
+*[Return to Part II](#cap-practical-day-2)*
 
-Again, use `MarsInterp`'s' `--type` (`-t`) command to create `07180.atmos_average_zstd.nc`.:
+***
 
-```bash
-(amesCAP)>$ MarsInterp.py 07180.atmos_average.nc -t zstd
-```
+## Step 3: Generating the Plots
 
-Your `/ACTIVECLDS` directory should now contain the fort.11 files and six `netCDF` files:
+Generate the plots set to `True` in `Custom.in` by saving and quitting the editor (`:wq`) and then passing the template file to `MarsPlot.py`. The first time we do this, we'll pass the `--date [-d]` flag to specify that we want to plot from the `03340` `average` and `fixed` files:
 
 ```bash
-> 07180.atmos_fixed.nc    07180.atmos_average_pstd.nc    fort.11_0721
-> 07180.atmos_average.nc  07180.atmos_average_zstd.nc    fort.11_0722
-> 07180.atmos_diurn.nc    fort.11_0719                   fort.11_0723
-> 07180.atmos_daily.nc    fort.11_0720
+(amesCAP)~$ MarsPlot.py Custom.in -d 03340
 ```
 
+Plots are created and saved in a file called `Diagnostics.pdf`.
 
+![default plots](./tutorial_images/Default.png)
 
+### Viewing Diagnostics.pdf
 
+To open the file, we need to copy it to our local computer. We'll create an alias for the command that does this so we can easily pull `Diagnostics.pdf` from the cloud environment.
 
+First, open a new terminal tab (`CRTL-t`).
 
+Then, change to the directory hosting your token for this tutorial (the token is the file ending in `.pem`).
 
-#### *[(Return to Top)](#table-of-contents)*
-***
+Finally, build the secure copy (`scp`) command OR use `sftp`.
 
+#### Using `scp`(recommended)
 
-# Optional: Download the Answer Key for Step 2
+To build your `scp` command:
+- The name of your `.pem` file (e.g., `mars-clusterXX.pem`)
+- The address you used to login to the cloud (something like `centos@YOUR_IP_ADDRESS`)
+- The path to the PDF in the cloud: `tutorial_files/cap_exercises/Diagnostics.pdf`
 
-1. Download `KEY.zip` from the CAP tutorial GitHub page [here](https://github.com/NASA-Planetary-Science/AmesCAP/tree/master/tutorial/tutorial_files).
-2. **Double-click** `KEY.zip` to unzip the file (do not do this from the command line) -> this should create a `KEY/` directory
-4. Open a terminal and run the command:
+Putting these together, the secure copy command is:
 
 ```bash
-(amesCAP)>$ path/to/KEY/Step2_Check.sh
+(local)~$ scp -i "mars-clusterXX.pem" centos@YOUR_IP_ADDRESS:tutorial_files/cap_exercises/Diagnostics.pdf .
 ```
- **Note:** any permission errors can be fixed by running:
+
+To make the command into an alias named `getpdf`:
+
 ```bash
-(amesCAP)>$ chmod 766 path/to/KEY/Step2_Check.sh
+(local)~$ alias getpdf='scp -i "mars-clusterXX.pem" centos@YOUR_IP_ADDRESS:tutorial_files/cap_exercises/Diagnostics.pdf .'
 ```
 
-`Step2_Check.sh` will prompt you for the path to your `/CAP_tutorial` directory:
+Now we can pull the PDF to our local computer with one simple command:
 
 ```bash
-(amesCAP)>$ path/to/KEY/Step2_Check.sh
-> Please type the path to the directory containing CAP_tutorial, i.e. /Users/username:
->
-/Users/username/path/to/directory
->
-> Looking in /Users/username/path/to/directory for CAP_tutorial
+(local)~$ getpdf # uses scp
 ```
 
-When the script is done checking your answers, it will notify you which (if any) files or variables are missing from Step 2. Go back to the Step listed and redo them!
+#### Using `sftp`
 
-If you are really stuck, you can run this shell script that will do all of Step 2 for you. This ensures you can follow along with the plotting routines in Step 3.
-
-To run the answer key, type in your terminal:
+Alternatively, if `scp` isn't working for you, you can use `sftp`. To do this, go to your new terminal tab and type:
 
 ```bash
-(amesCAP)>$ path/to/KEY/KEY.sh
+(local)~$ sftp -i "mars-clusterXX.pem" centos@YOUR_IP_ADDRESS
+sftp> cd tutorial_files/cap_exercises
 ```
 
-This will again ask for the path to `/CAP_tutorial`:
+Then when you want to pull the PDF to your local computer, type:
 
 ```bash
-(amesCAP)>$ path/to/KEY/KEY.sh
-> Please type the path to the directory containing CAP_tutorial, i.e. /Users/username:
->
-/Users/username/path/to/directory
->
-> Looking in /Users/username/path/to/directory for CAP_tutorial
+sftp> get Diagnostics.pdf
 ```
 
-> **Note:** Optionally, you can move `KEY.in` to your `/CAP_tutorial/INERTCLDS` directory and `KEY.sh` will do all of Step 2 **AND Step 3** for you.
-
 
+***
 
+### Summary
 
+Plotting with `MarsPlot.py` is done in 3 steps:
 
+```bash
+(amesCAP)~$ MarsPlot.py -template # generate Custom.in
+(amesCAP)~$ vim Custom.in         # edit Custom.in
+(amesCAP)~$ MarsPlot.py Custom.in # pass Custom.in back to MarsPlot
+```
 
+Now we will go through some examples.
 
-#### *[(Return to Top)](#table-of-contents)*
 ***
 
+## Customizing the Plots
 
-# Break!
-Once you've completed Step 2, you are welcome to take a 15 minute break from the tutorial.
-
-You can use this time to catch up if you haven't completed Steps 1 and/or 2 already, but we highly encourage you to step away from your machine for these 15 minutes.
-
-
+Open `Custom.in` in the editor:
 
+```bash
+(amesCAP)~$ vim Custom.in
+```
 
+Copy the first two templates that are set to `True` and paste them below the line `Empty Templates (set to False)`. Then, set them to `False`. This way, we have all available templates saved at the bottom of the script.
 
+We'll preserve the first two plots, but let's define the sol number of the average and fixed files in the template itself so we don't have to pass the `--date [-d]` argument every time:
 
+```python
+# for the first plot (lon X lat topography):
+Main Variable  = 03340.fixed.zsurf
+# for the second plot (lat X lev zonal wind):
+Main Variable  = 03340.atmos_average.ucomp
+```
 
+Now we can omit the date (`--date [-d]`) when we pass `Custom.in` to `MarsPlot.py`.
 
-#### *[(Return to Top)](#table-of-contents)*
-***
+### Custom Set 1 of 4: Zonal Mean Surface Plots Over Time
 
-## 3. Plotting Routines
+The first set of plots we'll make are zonal mean surface fields over time: surface temperature, CO$_2$ ice, and wind stress.
 
-Time to practice plotting MGCM output with CAP!
+![zonal mean surface plots](./tutorial_images/Zonal_Surface.png)
 
-CAP's plotting routine is `MarsPlot`, which can create several plot types:
+For each of the plots, source variables from the *non*-interpolated average file, `03340.atmos_average.nc`.
 
-|Type of plot          |MarsPlot Designation  |
-| ---:                 | :---                 |
-| Longitude v Latitude |`Plot 2D lon x lat`   |
-| Longitude v Time     |`Plot 2D lon x time`  |
-| Longitude v Level    |`Plot 2D lon x lev`   |
-| Latitude v Level     |`Plot 2D lat x lev`   |
-| Time v Latitude      |`Plot 2D time x lat`  |
-| Time v level         |`Plot 2D time x lev`  |
-| Any 1-D line plot    |`Plot 1D`             |
+For the **surface temperature** plot:
 
-`MarsPlot` is customizable. Options include:
-- PDF or image format
-- Landscape or portrait mode
-- 1+ plots per page
-- Overplotting is supported
-- Adjustible axes dimensions, colormaps, map projections, contour levels, etc.
+- Copy/paste the `Plot 2D time X lat` template above the `Empty Templates` line
+- Set it to `True`
+- Edit the title to `Zonal Mean Sfc T [K]`
+- Set `Main Variable = 03340.atmos_average.ts`
+- Edit the colorbar range: `Cmin, Cmax = 140,270`  &rarr; *140-270 Kelvin*
+- Set `2nd Variable = 03340.atmos_average.ts`  &rarr; *for overplotted solid contours*
+- Explicitly define the solid contours: `Contours Var 2 = 160,180,200,220,240,260`
 
-**Plotting with CAP requires passing a template to `MarsPlot`.**
+Let's pause here and pass the `Custom.in` file to `MarsPlot.py`.
 
-Create the default template by typing:
+Type `ESC-:wq` to save and close the file. Then, pass it to `MarsPlot.py`:
 
 ```bash
-(amesCAP)>$ MarsPlot.py -template
+(amesCAP)~$ MarsPlot.py Custom.in
 ```
 
-The template is called `Custom.in`. We will edit `Custom.in` to create various plots. **We highly recommend using a text editor that opens `Custom.in` in its own window.** Some options include: gvim, sublime text, atom, and pyzo.
-
-If you use vim, you just have to be familiar with copying and pasting in the terminal. You will also benefit from opening another terminal from which to run command-line calls.
-
-
-Open `Custom.in` in your preferred text editor, for example:
+Now, go to your **local terminal** tab and retrieve the PDF:
 
 ```bash
-(amesCAP)>$ gvim Custom.in
-```
-
-Scroll down until you see the first two templates shown in the image below:
-
-![](./tutorial_images/Custom_Templates.png)
-
-By default, `Custom.in` is set to create the two plots shown above: a global topographical map and a zonal mean wind cross-section. The plot type is indicated at the top of each template:
-
-``` python
-> <<<<<<<<<<<<<<| Plot 2D lon X lat = True |>>>>>>>>>>>>>
-> <<<<<<<<<<<<<<| Plot 2D lat X lev = True |>>>>>>>>>>>>>
-```
-
-When set to `True` (as it is here), `MarsPlot` will draw that plot. If `False`, `MarsPlot` will skip that plot.
-
-The variable to be plotted is `Main Variable`, which requires the variable name and the file containing it as input:
-
-```python
- Main Variable  = fixed.zsurf   # file.variable
+(local)~$ getpdf # uses scp
 ```
 
-**Without making any changes to `Custom.in`**, close the file and pass it back to `MarsPlot`:
+or
 
 ```bash
-(amesCAP)>$ MarsPlot.py Custom.in
+sftp> get Diagnostics.pdf # uses sftp
 ```
 
-This creates `Diagnostics.pdf`, a single-page PDF displaying the two plots we just discussed: global topography and zonal mean wind. Open the PDF to see the plots.
+Now we can open it and view our plot.
 
-You can rename `Custom.in` and still pass it to `MarsPlot` successfully. If the template is named anything other than `Custom.in`, `MarsPlot` will produce a PDF named after the template, i.e. `myplots.in` creates `myplots.pdf`. For example:
+Go back to the **cloud environment** tab to finish generating the other plots on this page. Open `Custom.in` in `vim`:
 
 ```bash
-(amesCAP)>$ mv Custom.in myplots.in
-(amesCAP)>$ MarsPlot.py myplots.in
-> Reading myplots.in
-> [----------]  0 % (2D_lon_lat :fixed.zsurf)
-> [#####-----] 50 % (2D_lat_lev :atmos_average.ucomp, Ls= (MY 1) 284.19, zonal avg)
-> [##########]100 % (Done)
-> Merging figures...
-> "/username/CAP_tutorial/INERTCLDS/myplots.pdf" was generated
+(amesCAP)~$ vim Custom.in
 ```
 
+Write a set of `HOLD ON` and `HOLD OFF` arguments around the surface temperature plot. We will paste the other templates within these arguments to tell `MarsPlot.py` to put these plots on the same page.
 
+Copy/paste the `Plot 2D time X lat` template plot twice more. Make sure to set the boolean to `True`.
 
+For the **surface CO$_2$ ice** plot:
 
+- Set the title to `Zonal Mean Sfc CO2 Ice [kg/m2]`
+- Set `Main Variable = 03340.atmos_average.co2ice_sfc`
+- Edit the colorbar range: `Cmin, Cmax = 0,800`  &rarr; *0-800 kg/m$^2$*
+- Set `2nd Variable = 03340.atmos_average.co2ice_sfc`  &rarr; *solid contours*
+- Explicitly define the solid contours: `Contours Var 2 = 200,400,600,800`
+- Change the colormap on the `Axis Options` line: `cmap = plasma`
 
+For the **surface wind stress** plot:
 
+- Set the title to `Zonal Mean Sfc Stress [N/m2]`
+- Set `Main Variable = 03340.atmos_average.stress`
+- Edit the colorbar range: `Cmin, Cmax = 0,0.03`  &rarr; *0-0.03 N/m$^2$*
 
-#### *[(Return to Top)](#table-of-contents)*
-***
-
-Those are the basics of plotting with CAP. We'll create several plots in exercises 3.1-3.11 below. Begin by deleting `myplots.in` and `myplots.pdf` (if you have them), and then create a new `Custom.in` template:
+Save and quit the editor (`ESC-:wq`) and pass `Custom.in` to `MarsPlot.py`:
 
 ```bash
-(amesCAP)>$ rm myplots.in myplots.pdf
-(amesCAP)>$ MarsPlot.py -template
+(amesCAP)~$ MarsPlot.py Custom.in
 ```
 
-**Make sure you're in the `/INERTCLDS` directory before continuing.**
-
-
-
-
-#### *[(Return to Top)](#table-of-contents)*
-***
-
-### 3.1 Create a global map of surface albedo (`alb`) with topography (`zsurf`) contoured on top
+In your **local terminal** tab, retrieve the PDF to view the plots:
 
-Open `Custom.in` in your preferred text editor and make the following changes:
-
-- Set `Plot 2D lat X lev` to `False` so that `MarsPlot` does not draw it
-- On `Plot 2D lon X lat`, set `Main Variable` to albedo (`alb`), which is located in the `fixed` file. Albedo will be color-filled contours.
-- Set `2nd Variable` to topography (`zsurf`), also located in the `fixed` file. Topography will be solid contours.
-- Set the `Title` to reflect the variable(s) being plotted (we like to set the title to reflect the exercise being plotted)
-
-Here is what your template should look like:
-
-```python
-> <<<<<<<<<<<<<<| Plot 2D lon X lat = True |>>>>>>>>>>>>>
-> Title          = 3.1: Albedo w/Topography Overplotted
-> Main Variable  = fixed.alb
-> Cmin, Cmax     = None
-> Ls 0-360       = None
-> Level [Pa/m]   = None
-> 2nd Variable   = fixed.zsurf
-> Contours Var 2 = None
-> Axis Options  : lon = [None,None] | lat = [None,None] | cmap = binary | scale = lin | proj = cart
+```bash
+(local)~$ getpdf # uses scp
 ```
 
-Save `Custom.in` (but don't close it!) and go back to the terminal. Pass `Custom.in` back to `MarsPlot`:
+or
 
 ```bash
-(amesCAP)>$ MarsPlot.py Custom.in
+sftp> get Diagnostics.pdf # uses sftp
 ```
 
-Open `Diagnostics.pdf` and check to make sure it contains a global map of surface albedo with topography contoured overtop.
-
-> Depending on the settings for your specific PDF viewer, you may have to close and reopen the file to view it.
-
-
+*[Return to Part II](#cap-practical-day-2)*
 
-
-
-#### *[(Return to Top)](#table-of-contents)*
 ***
 
-### 3.2 Plot the zonal mean zonal wind cross-section at Ls=270° using altitude as the vertical coordinate
-
-`Custom.in` should still be open in your text editor. If not, open it again.
-
-To use altitude as the vertical coordinate, source the variable from the altitude-interpolated file: `atmos_average_zstd`.
+### Custom Set 2 of 4: Global Mean Column-Integrated Dust Optical Depth Over Time
 
-- Set the `2D lat X lev` template to `True`
-- Change `Main Variable` to point to `ucomp` stored in the `atmos_average_zstd` file
-- Set `Ls` to 270°
-- Edit the `Title` accordingly
+Now we'll generate a 1D plot and practice plotting multiple lines on it.
 
-Save `Custom.in`, and pass it to `MarsPlot`. Again, view `Diagnostics.pdf` to see your plots!
+![global mean dust plot](./tutorial_images/Global_Dust.png)
 
+Let's start by setting up our 1D plot template:
 
+- Write a new set of `HOLD ON` and `HOLD OFF` arguments.
+- Copy/paste the `Plot 1D` template between them.
+- Set the template to `True`.
 
+Create the **visible dust optical depth** plot first:
 
+- Set the title: `Area-Weighted Global Mean Dust OD (norm.) [op]`
+- Edit the legend: `Visible`
 
-#### *[(Return to Top)](#table-of-contents)*
-***
-
-### 3.3 Add the same plot for the RAC case to the same page
-
-> **Tip:** Copy and paste the `lat x lev` plot you made in 3.2 so that you have two identical templates.
-
-Point `MarsPlot` to the `/ACTIVECLDS` directory. Do this by editing the `<<<<<<< Simulations <<<<<<<` section so that `2>` points to `/ACTIVECLDS` like so:
+The input to `Main Variable` is not so straightforward this time. We want to plot the *normalized* dust optical depth, which is dervied as follows:
 
-```python
-> <<<<<<<<<<<<<<<<<<<<<< Simulations >>>>>>>>>>>>>>>>>>>>>
-> ref> None
-> 2> ../ACTIVECLDS
-> 3>
 ```
-
-Edit `Main Variable` in the duplicate template so that the `atmos_average_zstd` file in `/ACTIVECLDS` is sourced:
-
-```python
-> Main Variable  = atmos_average_zstd@2.ucomp
+normalized_dust_OD = opacity / surface_pressure * reference_pressure
 ```
 
-> **Tip:** Make use of `HOLD ON` and `HOLD OFF` for these.
-
-Save `Custom.in` and pass it to `MarsPlot`. View `Diagnostics.pdf` to see the results.
-
-
-
-
-
-#### *[(Return to Top)](#table-of-contents)*
-***
-
-### 3.4 Overplot temperature in solid contours
-
-Add `temp` as the `2nd Variable` in the plots you created in 3.2 and 3.3:
+The MGCM outputs column-integrated visible dust opacity to the variable `taudust_VIS`, surface pressure is saved as `ps`, and we'll use a reference pressure of 610 Pa. Recall that element-wise operations are performed when square brackets `[]` are placed around the variable in `Main Variable`. Putting all that together, `Main Variable` is:
 
 ```python
-> <<<<<<<<<<<<<<| Plot 2D lat X lev = True |>>>>>>>>>>>>>
-> > 2nd Variable     = atmos_average_zstd.temp
-> .. (etc) ..
->
-> <<<<<<<<<<<<<<| Plot 2D lat X lev = True |>>>>>>>>>>>>>
-> > 2nd Variable     = atmos_average_zstd@2.temp
-> .. (etc) ..
+# ┌ norm. OD     ┌ opacity                         ┌ surface pressure       ┌ ref. P
+Main Variable  = [03340.atmos_average.taudust_VIS]/[03340.atmos_average.ps]*610
 ```
 
-Save `Custom.in` and pass it to `MarsPlot`. View `Diagnostics.pdf` to see the results.
+To finish up this plot, tell `MarsPlot.py` what to do to the dimensions of `taudust_VIS (time, lon, lat)`:
 
+- Leave `Ls 0-360 = AXIS` to use 'time' as the X axis dimension.
+- Set `Latitude = all`  &rarr; *average over all latitudes*
+- Set `Lon +/-180  = all`  &rarr; *average over all longitudes*
+- Set the Y axis label under `Axis Options`: `axlabel = Optical Depth`
 
+The **infrared dust optical depth** plot is identical to the visible dust OD plot except for the variable being plotted, so duplicate the **visible** plot we just created. Make sure both templates are between `HOLD ON` and `HOLD OFF` Then, change two things:
 
+- Change `Main Variable` from `taudust_VIS` to `taudust_IR`
+- Set the legend to reflect the new variable (`Legend = Infrared`)
 
-#### *[(Return to Top)](#table-of-contents)*
-***
-
-### 3.5 Plot the surface CO2 ice content in g/m2 and compute and plot surface wind speed from the U and V winds
+Save and quit the editor (`ESC-:wq`). pass `Custom.in` to `MarsPlot.py`:
 
-These will be `lon X lat` plots. Both require variable operations using square brackets `[]`. Plot the results at Ls=270°. Source all of the variables from the `atmos_daily` file in `/INERTCLDS`.
+```bash
+(amesCAP)~$ MarsPlot.py Custom.in
+```
 
-Surface CO2 Ice (`snow`):
-- Convert kg/m2 -> g/m2
-- Set the plot area to between 50 °N and 90 °N.
+In your **local terminal** tab, retrieve the PDF to view the plots:
 
-Using square brackets, `Main Variable` is set (and units converted) like:
-```python
-Main Variable  = [atmos_daily.snow]*1000
+```bash
+(local)~$ getpdf # uses scp
 ```
 
-Surface Wind Speed (`sqrt(u^2 + v^2)`):
-- Call both `ucomp` and `vcomp` under `Main Variable`
+or
 
- Using square brackets, `Main Variable` is set (and computed) like:
-```python
-Main Variable  = sqrt([atmos_daily.ucomp]**2+[atmos_daily.vcomp]**2)
+```bash
+sftp> get Diagnostics.pdf # uses sftp
 ```
 
-Use `HOLD ON` and `HOLD OFF` again. You can use this syntax multiple times in the same template.
+Notice we have two separate 1D plots on the same page. This is because of the `HOLD ON` and `HOLD OFF` arguments. Without those, these two plots would be on separate pages. But how do we overplot the lines on top of one another?
 
-The general format will be:
+Go back to the cloud environment, open `Custom.in`, and type `ADD LINE` between the two 1D templates.
 
-```python
-> HOLD ON
->
-> <<<<<<| Plot 2D lon X lat = True |>>>>>>
-> Title    = Surface CO2 Ice (g/m2)
-> .. (etc) ..
->
-> <<<<<<| Plot 2D lon X lat = True |>>>>>>
-> Title    = Surface Wind Speed (m/s)
-> .. (etc) ..
->
-> HOLD OFF
-```
+Save and quit again, pass it through `MarsPlot.py`, and retrieve the PDF locally. Now we have the overplotted lines we were looking for.
 
-Name the plots accordingly. Save `Custom.in` and pass it to `MarsPlot`. You should see two plots on one page in `Diagnostics.pdf`
+*[Return to Part II](#cap-practical-day-2)*
 
+***
 
+## Break
 
+**Take 15 minutes** to stretch, ask questions, or let us know your thoughts on CAP so far!
 
-### 3.6 Make the following changes to the plots you created in 3.5
+***
 
-For the **surface CO2 ice** plot:
-  - Set the projection type to `Npole`
-  - Change the Y axis limits to 60-90 N
+### Custom Set 3 of 4: 50 Pa Temperatures at 3 AM and 3 PM
 
-For the **surface wind speed** plot:
-  - Draw contours at 1, 10, and 20, m/s *(add a second variable!)*
-  - Constrain the Y axis limits to the northern hemisphere
-  - Constrain the X axis limits to the western hemisphere
+The first two plots are 3 AM and 3 PM 50 Pa temperatures at L$_s$=270. Below is the 3 PM - 3 AM difference.
 
-**Hint:** we set the latitude range in the previous plot by editing `lat` in `Axis Options`:
+![3 am 3 pm temperatures](./tutorial_images/50Pa_Temps.png)
 
-```python
-Axis Options  : lon = [None,None] | lat = [50,90] | cmap = jet | scale = lin | proj = cart
-```
+We'll generate all three plots before passing `Custom.in` to `MarsPlot.py`, so copy/paste the `Plot 2D lon X lat` template ***three times*** between a set of `HOLD ON` and `HOLD OFF` arguments and set them to `True`.
 
-but this only works for cylindrical projections (cartesian `cart`, Robinson `robin`, Mollweide `moll` ).
+For the first plot,
 
-When you choose an azimutal projection (North polar `Npole`, South polar `Spole`, orthographic `ortho`), you set the **bounding latitude** by adding an argument *after* specifying the projection:
+- Title it for 3 AM temperatures: `3 AM 50 Pa Temperatures [K] @ Ls=270`
+- Set `Main Variable` to `temp` and select 3 AM for the time of day using curly brackets:
 
 ```python
-Axis Options  : lon = [None,None] | lat = [None,None] | cmap = jet | scale = lin | proj = Npole 60
+Main Variable  = 03847.atmos_diurn_Ls265_275_T_pstd.temp{tod=3}
 ```
 
-For each azimutal projection, acceptable arguments are: `proj = Npole lat_max`, `proj = Spole lat_min`, and `proj = ortho lon_center lat_center`.
-
+- Set the colorbar range: `Cmin, Cmax = 145,290`  &rarr; *145-290 K*
+- Set `Ls 0-360 = 270`  &rarr; *southern summer solstice*
+- Set `Level Pa/m = 50`  &rarr; *selects 50 Pa temperatures*
+- Set `2nd Variable` to be identical to `Main Variable`
 
-#### *[(Return to Top)](#table-of-contents)*
-***
-
-
-
-### 3.7 Create the following zonal mean `time X lat` plots on a new page
+Now, edit the second template for 3 PM temperatures the same way. The only differences are the:
 
-Source all of the variables from the `atmos_daily` file in `/INERTCLDS`:
+- Title: edit to reflect 3 PM temperatures
+- Time of day selection: for 3 PM, `{tod=15}` ***change this for `2nd Variable` too!***
 
-- Surface Temperature (`ts`). Set the colormap to `nipy_spectral`.
-- Column dust mass (`dst_mass_col`). Set the colormap to `Spectral_r`.
-- Column water ice mass (`ice_mass_col`). Set the colormap to `Spectral_r`.
-- Column water vapor mass (`vap_mass_col`). Set the colormap to `Spectral_r`.
+For the **difference plot**, we will need to use square brackets in the input for `Main Variable` in order to subtract 3 AM temperatures from 3 PM temperatures. We'll also use a diverging colorbar to show temperature differences better.
 
-> **NOTE:** set the colormap (`cmap`) in `Axis Options`:
->```python
->Axis Options  : sols = [None,None] | lat = [None,None] | cmap = nipy_spectral |scale = lin
->```
-
-The general format will look like:
+- Set the title to `3 PM - 3 AM Temperature [K] @ Ls=270`
+- Build `Main Variable` by subtracting the 3 AM `Main Variable` input from the 3 PM `Main variable` input:
 
 ```python
-> HOLD ON
->
-> <<<<<<| Plot 2D time X lat = True |>>>>>>
-> Title    = Zonal Mean Surface Temperature (K)
-> .. (etc) ..
->
-> <<<<<<| Plot 2D time X lat = True |>>>>>>
-> Title    = Zonal Mean Column Integrated Dust Mass (kg/m2)
-> .. (etc) ..
->
-> <<<<<<| Plot 2D time X lat = True |>>>>>>
-> Title    = Zonal Mean Column Integrated Water Ice Mass (kg/m2)
-> .. (etc) ..
->
-> <<<<<<| Plot 2D time X lat = True |>>>>>>
-> Title    = 1Zonal Mean Column Integrated Water Vapor Mass (kg/m2)
-> .. (etc) ..
->
-> HOLD OFF
+Main Variable = [03847.atmos_diurn_Ls265_275_T_pstd.temp{tod=15}]-[03847.atmos_diurn_Ls265_275_T_pstd.temp{tod=3}]
 ```
 
-Name the plots accordingly. Save `Custom.in` and pass it to `MarsPlot`.
+- Center the colorbar at `0` by setting `Cmin, Cmax = -20,20`
+- Like the first two plots, set `Ls 0-360 = 270`  &rarr; *southern summer solstice*
+- Like the first two plots, set `Level Pa/m = 50`  &rarr; *selects 50 Pa temperatures*
+- Select a diverging colormap in `Axis Options`: `cmap = RdBu_r`
 
+Save and quit the editor (`ESC-:wq`). pass `Custom.in` to `MarsPlot.py`, and pull it to your local computer:
 
+```bash
+(amesCAP)~$ MarsPlot.py Custom.in
+# switch to the local terminal...
+(local)~$ getpdf # uses scp
+```
 
+or
 
+```bash
+sftp> get Diagnostics.pdf # uses sftp
+```
 
+*[Return to Part II](#cap-practical-day-2)*
 
-#### *[(Return to Top)](#table-of-contents)*
 ***
 
-### 3.8 Plot the following two cross-sections (`lat X lev`) on the same page
-
-**Zonal mean mass streamfunction (`msf`) at Ls=270°**
-  - Force symmetrical contouring by setting the colorbar's minimum and maximum values to -150 and 150
-  - Overplot solid contours at `-100,-50,-10,-5,5,10,50,100` *(Hint: set both `Main Variable` and `2nd Variable` to `msf`)*
-  - Adjust the Y axis limits to 1,000-1 Pa
-  - Change the colormap from `jet` to `RdBu_r`
-
-**Zonal mean temperature (`temp`) at Ls=270°**
-  - Source `temp` from the same pressure-interpolated file you sourced `msf` from
-  - Overplot (`2nd Variable`) the zonal mean zonal wind (`ucomp`)
-  - Adjust the Y axis limits to 1,000-1 Pa
-  - Set the colormap to `jet`
+### Custom Set 4 of 4: Zonal Mean Circulation Cross-Sections
 
-Don't forget to use `HOLD ON` and `HOLD OFF` and to name your plots accordingly. Save `Custom.in` and pass it to `MarsPlot`.
+For our final set of plots, we will generate four cross-section plots showing temperature, zonal (U) and meridional (V) winds, and mass streamfunction at L$_s$=270.
 
+![zonal mean circulation plots](./tutorial_images/Zonal_Circulation.png)
 
+Begin with the usual 3-step process:
 
+1. Write a set of `HOLD ON` and `HOLD OFF` arguments
+2. Copy-paste the `Plot 2D lat X lev` template between them
+3. Set the template to `True`
 
+Since all four plots are going to have the same X and Y axis ranges and `time` selection, let's edit this template before copying it three more times:
 
-#### *[(Return to Top)](#table-of-contents)*
-***
-
-### 3.9 Plot zonal mean temperature from the RIC and RAC cases
+- Set `Ls 0-360 = 270`
+- In `Axis Options`, set `Lat = [-90,90]`
+- In `Axis Options`, set `level[Pa/m] = [1000,0.05]`
 
-Create the plots at Ls=270° from the `atmos_average_pstd` file, then create a difference plot.
+Now copy/paste this template three more times. Let the first plot be temperature, the second be mass streamfunction, the third be zonal wind, and the fourth be meridional wind.
 
-Make use of `HOLD ON` and `HOLD OFF` again here. Copy and paste a `lat x lev` template, edit the first plot, then copy and paste that two more times. For the difference plot, you'll need subtract the two `temp` variables from one another, so make use of `@N` to point to the `/ACTIVECLDS` directory and square brackets `[]` to subtract one variable from the other:
+For **temperature**:
 
 ```python
-> Main Variable  = [atmos_average_pstd.temp]-[atmos_average_pstd@2.temp]
+Title          = Temperature [K] (Ls=270)
+Main Variable  = 03847.atmos_average_Ls265_275_pstd.temp
+Cmin, Cmax     = 110,240
+...
+2nd Variable   = 03847.atmos_average_Ls265_275_pstd.temp
 ```
 
-- On the RIC & RAC plots: set the minimum and maximum contour-fill interval (`Cmin,Cmax`) to 130 and 250 (K)
-- On the difference plot: set the colormap to `RdBu`
-- On the difference plot: set the minimum and maximum contour-fill interval (`Cmin,Cmax`) -15 and 15 (K)
-- On all three plots: set the vertical range to 1,000 - 1 Pa
-- On all three plots: set proper titles
-
-Save `Custom.in` and pass it to `MarsPlot`.
-
-
-
-
-
-#### *[(Return to Top)](#table-of-contents)*
-***
-
-### 3.10 Generate two 1D temperature profiles (`temp`) from the RIC case
-
-Draw the 3 AM and 3 PM thermal profiles at `50°N, 150°E` at Ls=270°. Call `temp` from the `atmos_diurn_T_pstd` file, which is the time-shifted and pressure-interpolated version of the diurn file. 3 AM is index=`3`, 3 PM is index=`15`, so `Main Variable` will be set as:
+For **streamfunction**, define explicit solid contours under `Contours Var 2` and set a diverging colormap.
 
 ```python
-> Main Variable    = atmos_diurn_T_pstd.temp{ tod=3 }
-#                        filename.var{  tod=X }
+Title          = Mass Stream Function [1.e8 kg s-1] (Ls=270)
+Main Variable  = 03847.atmos_average_Ls265_275_pstd.msf
+Cmin, Cmax     = -110,110
+...
+2nd Variable   = 03847.atmos_average_Ls265_275_pstd.msf
+Contours Var 2 = -5,-3,-1,-0.5,1,3,5,10,20,40,60,100,120
+# set cmap = bwr in Axis Options
 ```
 
-for the 3 AM line, and
+For **zonal** and **meridional** wind, use the dual-toned colormap `PiYG`.
 
 ```python
-> Main Variable    = atmos_diurn_T_pstd.temp{tod=15}
+Title          = Zonal Wind [m/s] (Ls=270)
+Main Variable  = 03847.atmos_average_Ls265_275_pstd.ucomp
+Cmin, Cmax     = -230,230
+...
+2nd Variable   = 03847.atmos_average_Ls265_275_pstd.ucomp
+# set cmap = PiYG in Axis Options
 ```
 
-for the 3 PM line. You will have to specify `Level [Pa/m]` as the other axis:
-
 ```python
-> Level [Pa/m]     = AXIS
+Title          = Meridional Wind [m/s] (Ls=270)
+Main Variable  = 03847.atmos_average_Ls265_275_pstd.vcomp
+Cmin, Cmax     = -85,85
+...
+2nd Variable   = 03847.atmos_average_Ls265_275_pstd.vcomp
+# set cmap = PiYG in Axis Options
 ```
 
-> Note that when you specify level as the AXIS, MarsPlot automatically reverses the axes to draw a vertical profile of the requested variable.
+Save and quit the editor (`ESC-:wq`). pass `Custom.in` to `MarsPlot.py`, and pull it to your local computer:
 
-Fnally, change the Y axis limits from `None` to `1000,1` Pa:
-
-```python
-> lat,lon+/-180,[Pa/m],sols = [1000,1]
+```bash
+(amesCAP)~$ MarsPlot.py Custom.in
+# switch to the local terminal...
+(local)~$ getpdf # uses scp
 ```
 
-As a reminder, to draw two lines on one axes, use `ADD LINE`:
+or
 
-```python
-> <<<<<<| Plot 1D = True |>>>>>>
-> Main Variable    = var1
-> .. (etc) ..
->
-> ADD LINE
->
-> <<<<<<| Plot 1D = True |>>>>>>
-> Main Variable    = var2
-> .. (etc) ..
+```bash
+sftp> get Diagnostics.pdf # uses sftp
 ```
 
-#### **NOTE:** You do not use `HOLD ON` and `HOLD OFF` to overplot 1D plots. `HOLD` is always for drawing separate plots on the same page
-
-Save `Custom.in` and pass it to `MarsPlot`. View `Diagnostics.pdf`.
-
-
-
-
+*[Return to Part II](#cap-practical-day-2)*
 
-
-#### *[(Return to Top)](#table-of-contents)*
-***
-
-### 3.11 Plot the 1D filtered and unfiltered surface pressure over a 20-sol period
-
-Compare the unfiltered surface pressure `ps`, which is the original variable in the orginal daily file (`atmos_daily`), to the filtered surface pressure, which is the time-filtered variable created when we applied a low-pass filter to the daily file (`atmos_daily_lpf`) in exercise 2.6, at 50°N and 150°E.
-
-- Both are 1D plots. Use `ADD LINE` to plot on the same axes
-- Use `ps` from `atmos_daily` and `atmos_daily_lpf`
-- Set `Latitude = 50` and `Lon +/-180 = 150`
-- To show a 20-sol period: under `Axis Options`, set the X axis range to (`Ls = [260, 280]`)
-- Narrow the Y axis range: under `Axis Options`, set the Y axis range to (`var = [860,980]` Pa)
-
-Save `Custom.in` and pass it to `MarsPlot`. View `Diagnostics.pdf`.
-
-
-
-
-
-#### *[(Return to Top)](#table-of-contents)*
 ***
 
+### End Credits
 
+This concludes the practical exercise portion of the CAP tutorial. Please feel free to use these exercises as a reference when using CAP the future!
 
-## That's a Wrap!
-
-This concludes the practical exercise portion of the CAP tutorial. Please keep these exercises as a reference for the future!
+*Written by Courtney Batterson, Alex Kling, and Victoria Hartwick. This document was created for the NASA Ames MGCM and CAP Tutorial held virtually November 13-15, 2023.*
 
-*This document was completed in October 2021. Written by Alex Kling, Courtney Batterson, and Victoria Hartwick*
+*Questions, comments, or general feedback? [Contact us](https://forms.gle/2VGnVRrvHDzoL6Y47)*.
 
-Please submit feedback to Alex Kling: alexandre.m.kling@nasa.gov
-
-
-
-#### *[(Return to Top)](#table-of-contents)*
-***
+*[Return to Top](#table-of-contents)*
diff --git a/tutorial/cap_tutorial_exercises_2023.code-workspace b/tutorial/cap_tutorial_exercises_2023.code-workspace
new file mode 100644
index 0000000..876a149
--- /dev/null
+++ b/tutorial/cap_tutorial_exercises_2023.code-workspace
@@ -0,0 +1,8 @@
+{
+	"folders": [
+		{
+			"path": "."
+		}
+	],
+	"settings": {}
+}
\ No newline at end of file
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From ae1ce891ab218afefa71670531e14e869337a0e6 Mon Sep 17 00:00:00 2001
From: Court <42366074+falconstryker@users.noreply.github.com>
Date: Thu, 30 Nov 2023 12:24:51 -0800
Subject: [PATCH 3/3] updated CAP_Exercises.pdf

---
 tutorial/.DS_Store                            |  Bin 0 -> 8196 bytes
 tutorial/CAP_Exercises.html                   |  650 +++
 tutorial/CAP_Exercises.pdf                    |  Bin 0 -> 2586932 bytes
 tutorial/atom.pdf                             |  Bin 0 -> 2954504 bytes
 tutorial/git.pdf                              |  Bin 0 -> 2937819 bytes
 tutorial/out/CAP_Exercises.html               | 3475 ++++++++++++++++
 tutorial/out/CAP_Install.html                 | 3219 +++++++++++++++
 tutorial/out/CAP_lecture.html                 | 3621 +++++++++++++++++
 tutorial/out/README.html                      | 2882 +++++++++++++
 tutorial/tutorial_images/.DS_Store            |  Bin 0 -> 6148 bytes
 tutorial/tutorial_images/50Pa_Temps.png       |  Bin 0 -> 661335 bytes
 tutorial/tutorial_images/Default.png          |  Bin 0 -> 435930 bytes
 tutorial/tutorial_images/GCM_Workflow_PRO.png |  Bin 0 -> 61579 bytes
 tutorial/tutorial_images/Global_Dust.png      |  Bin 0 -> 132776 bytes
 .../tutorial_images/Tutorial_Banner_2023.png  |  Bin 0 -> 490840 bytes
 .../tutorial_images/Zonal_Circulation.png     |  Bin 0 -> 692753 bytes
 tutorial/tutorial_images/Zonal_Surface.png    |  Bin 0 -> 527437 bytes
 17 files changed, 13847 insertions(+)
 create mode 100644 tutorial/.DS_Store
 create mode 100644 tutorial/CAP_Exercises.html
 create mode 100644 tutorial/CAP_Exercises.pdf
 create mode 100644 tutorial/atom.pdf
 create mode 100644 tutorial/git.pdf
 create mode 100644 tutorial/out/CAP_Exercises.html
 create mode 100644 tutorial/out/CAP_Install.html
 create mode 100644 tutorial/out/CAP_lecture.html
 create mode 100644 tutorial/out/README.html
 create mode 100644 tutorial/tutorial_images/.DS_Store
 create mode 100644 tutorial/tutorial_images/50Pa_Temps.png
 create mode 100644 tutorial/tutorial_images/Default.png
 create mode 100644 tutorial/tutorial_images/GCM_Workflow_PRO.png
 create mode 100644 tutorial/tutorial_images/Global_Dust.png
 create mode 100644 tutorial/tutorial_images/Tutorial_Banner_2023.png
 create mode 100644 tutorial/tutorial_images/Zonal_Circulation.png
 create mode 100644 tutorial/tutorial_images/Zonal_Surface.png

diff --git a/tutorial/.DS_Store b/tutorial/.DS_Store
new file mode 100644
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I6Geah6o/XIccCk7Znf6Cccw3zDgpBL/h0MMMtL8NHkW+3YK7xVPIseQUmWMdGKnDJw/l0tAgLuc0ni2g48MITlRbDSJCbuDF+anCsd+s5qQZjRPirpYoJ+Z3Eglez306va7XL6gB3257VGSv15ML1vBiy2hL1uTDQ7lGLJjyahwaWq/eTifM5Jfj8YdPOHes97vVf/92/XK5chGsuJeioCf21bgFKOfdmj9U90Sa5x9rs9HG3ysJwVFlByXq2hTVVxOYmpR+TUydUWQ1RkXimzJa7onH4qwpplZVhzz32y40BUgvKM5f0fXQgWV0oDAaxhOsC4xIqJgzwDzI7yFIhYxuUHNtOiuqxpJ9gO2eW5oGUxdzkorYWGTaCdKdYMXLpmAiY8h1jJpwEH2HLR22hzlu8yGT5of5VG5YvX9wCsvdHSSJGJ84wHAIDwpuXiXv3BMncN4MLOhLBu6ZgWc90O51Eh0R/wjVe46wP6cOMTokxiE6Q3xr0jH7tm+SW+hRBvolq0h6yCFcBBy5PapJY1Un7+qAeZ8zWjtsc0IGMPe+2HYkGDUnca86Ugo6tZWqqxF+3oGqQp9+BN6kNr3RqqWME7W5F+lkxCPukGa4vTBEu0Un52qNViNkAcuksqrviZiG2TYNOqOS23KdUt0CqUvN8qVyzQhFnNkma5F1ChUH2jh8DmH+U0s2pinN5nORp6ozxrN9ecUhG4wS+QBYt8ldYMm8S38criNRlM3GrjFcDTYVjXsUMGHQhRX39e4xfHLG9NY67uO78E3W9g5CdormmkGAUFKlEZLe8NeqTZBRJfSV4eF8o+q1Z5ijmp8qoheTBrn1BEhoxlL38ErLH1/2eLflj9/uwTnhMbWXi5VCU8wP0UOMGKIdi7/y0l/Uc1CflHWXzNjH3u4VH5bOIb98sLY8/RgZlkvDvcyPHEQ9MACiJ4L+XrsTiMdp8IeVcSw9f0NhkSVgpGvD9dJobo57PoNdKufyUwwunyaBSK1nZWdTBNGmLP5v88Q5W/VREYzqDFvXUhP6SasBMpGR5DrBInnTxmLc8xlRHVZH1MtXh7fVK45flGApUEdqGL26oODXyEpwZKTxejvhcdC328vx8M0RD6J+2W9Of/5t/crnJWgR2PwMe9Xm2bh1IOT04yxRNABgCHUEiWE1UX+yilXQxmVNYyadHdnruc2tN9VltYoPrkjULIZZo1Y5m6higrKP3HHPgm4IkVNRY3I72jW09Wrjvzqax05MnZRPo6imfNJzXq8dS1wmanWzQ0B5UGrcFByomnK3qBriasLYWf2AG3KngrTL/DEH1S1oVTnSz2hk5YYQFbvDgTpwo0uNjDrGjJQHe/EA8w8wOWz8ntvRp/buqZ0bNhsWrSUDz50BHHS9r453iuguro046dzFv0lyPXyEh6Tn0XlRn/3X7UkyOASkNeutzCZrg5SawFJ6v0HrJ51aep6eTpTUnxwtlZihl0tnbazVsxq5rzuDAAYp9fVsVvmhEcw6H3LjPlkWSiPORFiqOpGvWqaYCMxgEEMmMuP23StUcV66B1bvdvV1I5LvNhEJS7NAQ8M0xeJwTaG6T+FS7mjwFK69d1djra60pSRWnMbjLpRSb2LPJvj3wiCziQ8DO5KPrqQYNrwsFEWZjaKUDreQqa6BKpC2DTy/B0J0AzWvEVHtPriAgR73KaZY+CasDN5XZyuKSqSqvoiEM2MC2qV/clp1XOtyX9mwPLJCQVdIsZdBRKAp4NSiPASh0NJM8Xazi0b1eVolhoAIB9VfPM70X396+eHTDqXfsz4F2S2EDXgfpoXI5bHP/EB6GK4Wfxmhy+3TBPts/miCirziolY81xiryZFgVNg52YoUH5x8d4TI2Qr+9ndZjiqou31XODSgRlAjx/ON1xcsx9/gpwnYMD+RwyNWBK9WfBv35aLrgYmuftq5gsbMoO6BKeVi9oBT++e+Sdf9M47u9RNo6qSJm5D13b6BXJFCN/hTrBJA6Are/ntCXMfjYb87cIn0F5lkqZdBpdrKWa3RYkIC/PZ2Pp1h7/i22u13+OnM4bD586/n31AExir3cGqOAegzs2hAdmYOFOcjBJxeaAX3Hcb6xkceYwvGiKzne66U5X+8vro/WWcrujKSOnuiPsT9kECFHP4RD3tuWryUead6Qncuup1jmBapShJ9YtBJKqY7wfcukIc/bE5S2vighFOMoCgmcWvwJkwTZkZoPAosGCbPC1rDoK3P8F28zKZuYstLaAOHKfBCqHCkeWNO083MpNS79aru3M3wxzQ0Lp2DtAcpvaPs3ym+O5kZlvindm5YSIvWkoH3kAEcevUvC8/h+L1cGxr/OzlrDU/jwMQMNzjhvHv04ExsH0MxMWIl1zOg954+8KG3TiWM8m7NUo1QjjW55AyjMdzH4mGJvI6aww2nmiPGpziC1CJ7I6zWwYzSw5+BiSxVy4TXwzmLZ9Q+48IovBblmqnSNBGzj2yLDwIlOa5506GVsp07gpRyRvTGuZQabsMq9doFmQJneolcm+GMbg9SYqaHnomWetacnrEemCfcl3qT6DS7FotJu8HX1GyDUA1MCUXSYiB8NEBNRt6pUzAYeRfu8YIY0WmV3QpJBkNp+JTbsCZh+9Tfyo1WUeKA8l6uaOBDiNIhUTwSUkBSJvtsyZ3xGMPInu/RqaJc+1SKIwdcAfayET2SR1MZ4kSjTKIhUjLGNo9dR6Ekg4ft5qdv9v/jDy94/jOKF3zp7/WSoHjLVeqoflkEhSZ6gEGUhV/U1vBc4tVNXvrLRxNbZgotLmIdGcB7MJFl1ICZXKn/Rodvh+7D2HJc0zoqOZgoPaaVKHm/rcjkCcUNKQ1xne/17fyGw1F+qYCpitcDrw+73W23k3TyQEUjgUX1zkpTwXH5GUfoOoXcZK/RQNB8FKkDuYaQuBd1fJ2RtGKtBEA7a64Dxq849nvUX19Qf/vy+bXmbaTnmjmTpbQY7YbfjXx++/vhylXAeG86LnJ//iteCXwRsEox0iuCKZcfmSTaAk8mnJeRuScoOb9c0sL1ys83L20lRmQj0Hh9Y+7pmS+jkg8pR6MEZAitLpGL4qbVTdGFpjDhrBVRpUYcyGrTxS++ORveGSiyTI7/yBYnddzULdCUSOMiIn0lupAow0190CkFWS13k0E5FXIaJGIjDX/4P6ULUz5Ui2xn1ucXBPEQXlU3WJakKh0akKGUepZKK14FxCAt1bGK8WLaVO2B2C5JFS8GglVQxnQf78Fg79X1fGLbQN9TyAN97Z+UtoS9T96Sg/c5bovXSwZmzcDAc+qsPsXg7+TEhTQO93S4Zpyp+7bF50c7PqX9USNYkvt+zhZJDzl4i4BL4imVqSb27g40OTqLI9Vom4wPpkdeR83BcLFiZjr1MNFDNDbq29DPOODZczaGuD5EpyCG6WF5F6TA8EwifUz3ke12dzTaaIAOHx812xO3SoMslUvAe3XkzDmTmR6pnsmDXqnoIdztbrdExVxOIaG1ZFMGsYI3urtT62aWe22DXrkRKiwTdIajrjQrsRgU9rw/K1ul+gtz5oLemKUQ5fkfKHaKtb3DkJ18oKKFrYZBqpl0oYSuKJJqd7GNEKk4kkOp6QqbSXICRPMqzQ3efw5xhnQRSei8yb/65rD9t1+++eGF67NP5w/02OeGFIHsq79XvIIVdbQrqjUhPc0JvRenwfN7mZ/Czu2Gui8q7Fu+yXYlr/69ypFzt9gGGeIssLnQByCZPXGpqDuXNTNeXQ5yLGpFmRcPY8cDobFWfbvbY0E1crvdHG67PVb3cmU1pvAVc5mTWJRqVuVUgPqx+Jk460RrNBDwP5yr+ScpqlioqVf4cdfyG9N6tVNjrJS/nV9POKOhBLzbH45vt1d0c35LNKm6Wi6lpdJOC2MAi69wBAuRv/+EB55vUJL8798xIjlcF6uw4OQtPPRYL09yVraEUIBD0ALESiyDTa8v1HEMcJANK/cyMVLAlJEVhhhzFpSrVWKQXA1YbPD5zJRSScFBk0JKUywNQvwhLq+rMA0RU1S7VpglmOmLhJgQcaoYDy0xGxiRovNBvaU/lGLBWhheBQ3BEFSfDjFh8NjbpqJEI4XHDofTAEByUXl4VbQvERKGkghB20E36ICouTHRgEINrxI0UsEH9p7QJcuGT5sR7rx/4tTcORN1c0NyM0SnbrmTcicznX7UBZ7Xs7qvC2XJwEfPwKMvME35vYtfg4zgDDZIrynS+ej3dfPReXmKK0urE/cdj+551W/ESqWfLco0D867xMnWQUvVJ+0lTjQhl6a9SX9+epS+qDmV3WqS7pCP1GTaGxPWdEhZL2ZIPu3MknDcg8jGMILY4OcoO9OmVG5BjYgwUh0VVYRTaw4HZq468jUcvOZn97yc0tgIrOaU1EAbREGuiWby0U4aidDgWrvNJu6IgGSVmNwkbgK/C53vAEZGfVaskdwBBVEfixxLQlGFU2JQNC4o4eZ2sCThqYzciwVHkUDjXVao4T+cabi5veuQIGR3o9bIiiPiynZC3DmFQC+o/pqO7YMyW95bYoewU6Gkx6C8jxGHSKQjaqyb+ua40+ovSttnlkJRtEjXFEaqDc28xw3CjyejPMOlv5ttQ/V3bDhj9R+fodEesDSCCiXLlJhqF1QwUaQj6tjcZPQzpEH+D/1qpecDmhyKENxtRUAlGCV0FHolt3ix8p7ldazMxNrM3Q6TGQthrxc8kVg94tEfb6CifIXPlCynllguIlQleRbClpKVliI09Grhed0Uskk9QxcEfODp4ngaM+bb9rBd3Q7I1el8qWRA1GXNqQJ56zXcbk5dAhZPJ4zO4Xj89njA0xQ+7c///pfzBb+EqGSsYk6/3zpfiSvn5igjaLKAGrLned4Ld+UKhoTj5cQiYVgR5vWRK2bVLi8TuAKqqMOjpLt0gO1+NQAaYSiodVV0eZi7IqUCUM//iSR1CCJ7hy8d0ijNnfKFiw8RFrKTFxfkIxIRS0ASQexVNkgpSxlEVGAnTWGKutyjV9t8xjXzphFGQTTMek1d/JIDzs9CyqqXqTSIXibliA85lVRsbI/p6bs1Bj4ErK/xdnnnweMdaXezgTv/cDcYnp+sI9I7wDsN5J3MzJ/mxcKSgSUD82ag90lsXnc8Ok5i87s2zsj8/vlsDGvc/UJwd4OVvMiIPHpYWu23MivRoDtugtbxapSe/tT03x3BTdFkpj4kCQ1Ga2QQEmfvlvE+c8+8tv2ETmaCn8FK4nCEj2bGgUS6vNMPKfKi2ESRTp+BVctFsMVOUpA3Pe6z1aKtEVr86BN4t+z9gm4JqYM1fFxc/N1p6PAA7FKMxNlSpW7ziURiI+EUd0o9K5VrMTwBRBa9B24uYTX1nFDFcHwz1bOgV8Oa9WtS3qBbASxupbc8JTAl4b4sBOAud0LXMEIARrS9v31KAPzvJVMbCsNb5UIXbTGjXfaFFgOA4mjgBtxATk0Iht4wjhRZiqnc+Q2gzivdRcYcId6pUmox5kdt3lJObDjfLXjec16tvn3Z/ekfvsFLf9EeWv2NjD59E2Fu9cHPm40unXy6tb/3yWEyNaY2KXMMxV/38GfUxPjwZ3/wTG1uPF7l2CwGtGNqZGhSTiszSksouLGuhLfMYlmwpBmLrFEORsX9cHhDJRhPhcbjti9XFEG1skR5rbWl54RwQhPrrWHkmDlaQxxpinsoKl6qEPW0idMr/sOxvLm8rvGuZPy+Y3+QSRf/lqWmVvM1kqjwIk7UjIVIxjO7V9fTl1cM0vHw8sv3exxnf/7b5ctFq84NmlDk8RgfkzVJMFmvlDgjqyB7UXeRQV/RkHKF1E/RkosSpwMaxBOWyrk6LsUoRRhCa4VUzUBQ0b0j0BfBMLxK0csd9f3GDv2nU/qpVvgUaGHJVdmpyBznZJU+9tIQAjuyseGuqxR0mEJUAYnLARqF1ilNZbexK0RtGJl7SanmIpBTsQhIRWoEwTZ1QUQncUv7jC63+RJ7jjkNrerNNKhfLUrDQJbkY6jqUL0Snx4rc7/InvcouF8OHjvWi/UlA+8kAzgkn/d8cYccjoj/PZzNho/tQM2BahOO9KM9eLT9XqmcYQ4POaLul7NgKbSGeNwryznhhswHr4JSjha4Ba3RAAU2RGSGTGZ8b0hdzcmh3qR6GQdqlsoIhmT7Mq0nkCpNeA9Xw52WHkp3F+0TeDprcq7aPagcr4gWTEw4hdIYhwMH54pimUKo1dlWZql1Sc4kSKUWs3LjPXCj/IBBygbUTRwfcreNRomuNHEFsMtojCEko9s95ryoU481/I1TIWr8bHq6mXIWhA4x3NjlCiDe7eY6JvVMZSIQUw5woqDktMjqjFZO0bnqr/OEIKLkjERkR3E7OtfITEXZ85gVHYHR2A67zU+f9v/4Ax9YqtWkQWt/67afl7JZr7FgcoP/11L9xUN1365Sknhen5/TM5lWlbkVe8olj3xhrVbZ31iRjNnP0o4PVB4aPfzSg0jLXD3UKqIOpUK1bs4f0lgQomU8dxiJxekFE5mTGinn9EbdfXt7277t8GhoPBkah/WFlWAXrIGmpn0PDZMwN7j3fCPWCMao7qvHV7FiFUj7kXrUNNm31fl8xmOK90e8D3iPkF9fP0vgiMnEbW863Odonp8y054XQsPZ4HubWQPGYxSOL6wB7zbr/+9vl99PWoxv0ddUKQzO9hiwylDgwiNXK/XXIUUyUJBiJflK9g3vKOn44/RBotiS/0jdYF698eIGil3YBEApIGPZMDYxzMuR+EhNdoQqfEGQAEAOGzu8zHJAPJAQRcbJYkckt4NThqyUysU0NioArubr/sXAi7oHS5wkWmRHdIOoaIWPyApjtUNJBDhKXjuoJK2aTF6hJhaB5DUigXHNIfCNOo2McT5+BdpDMzdU7+4pfVZHn9Wvuw/QYnDJwJKBwgw891kj/tZSGNCdxJ7Xs5AAjO1ANwdqPnQyifGHehAyP1Vr4PCVm+9noJ90uRf3kgyzI7RgO+ncyxfY6U4nJEY7B4BuQ5mo+yiZ7GhnK35k8MxURTLXzWjnxBppMDUWImADSVwvQ+wRZTBR2MpgtzmVES801CQm9x+amFPTa+63xZoYr2km3N4d3vnqrZQqONd1VwTWJdTFT+139tpyW2qqDaPRgUFKjWiO4TwudTwP1+BZDbRBLg+apzZC1Izl9XNUYMYLTXIiMS1niRCxTNST+5dTnmUTOzN1uNIUW5Jt6RiFe/wh6Npt1VhEUPQjIWuyBMToJmp4pMttdLkFLqK2rsn55UBMQQB8J6n+Gra4WzGoXeq5kTJhD0UC2KZne5Pze58MkWgU8/KRi56GhsBobMfd5pfvDv/048unwwa1oTMqoaFEFOt8nDYunLst30eLBio0XJN6RUlG8/HkYXYP+RMFoA9/xhrMzRZeofwozy1+IgdlzG3cdY8E98mxU64c10NC9OZLlb1NaPJbEetpLK5jNuNnDZjVXHctG+c6C8Gby5VP4aaw7Hgi0PWockrwhgWwngYXqxdjI0dLBJqEmhTzyU+l23pmfH17u67PqzN/enA87A57zD08lhkVu8hC1GwLJbVXFrVCY0yueOT57Quyedgf/vAtnja/+b+/nX9/BVkzXAPXCKDPAebOQqrswcJQCtekbO8kjY1uhWNQOhVoSWeEq5YKGyVhTRa4UFdLEJOuE1TfwH2ztLqyqzC07WTyJ1jBUQn1KW47iiuz0gdsFJCmSKLlNNhiOK4vxVhxAEQnpHv36TuCqphWxnak6s4XfPW6LYYZt3qATw6H8iJVE3B+RhxR4ChnNk7UGhTk8tIZgEEk+Np7s/hqio2MmuRcBBfOkKgmcWmE4XnHeZLohoJoVoYEOESnl5cjBqyXnUHCT+3coIgWpSUDHykDs5+fBiYLZ45ndU0iemrn6OHdT70PzYgYf6gHSHmr/VamTKnkY/b539OfxLmGzt2nXIMfebILOIk76eTVpqfmjDYMd050eoeqiEPGcQZPM5AZUtV56ZfKZZVBbBiOJvFOuvhT5tRDkl/mWmeYZQKTG2sArGWyQa7M67FS44wH7dAa61GsX8tVzCxpt7lVejS1YTT6MEipES1mjM1JD896iMYexu0JIGI4aTMDE+FOBFNzcRpC4Qz1K4Btathe8hTufYaWc8/JReIJI6KzGXUTMWOQ7261yron9C29uk9vw0ZwcmOZmIEGDU8Fjt5/FjY/DJc62GqBKTlGcBS3oz5xmhQTaW+VZqUToziCVn//+aeXbw/b0/Xtgkc/89WiXVsM1yVbyJ8Usg0Mw7m36i9KklgTyYJ3oZeLWL8M4NW/rD1iQSoWWGOTBXNto9MPvlQ6Z9HXXXTsIZKTqlvw4m7OeJy6aCElIJR5AFibr9h7x+WsQATgoeSIZ0KjjXrjdb9H0RHTHmNx2OKduE4F9WFoxy8+9aGlfpixSjgN5FQqxBboRYpePJWOelHTC6cN1IBvb+fzCef1HVYBH4/yMGxOwjRAl04AVugh0R6426oTNUFmAOfU1y9fMCr7w/EP3+GQOPz5t9PffsdybJYsq1a8E4GjLc+IvTFiEDauxINZQQ+Uqw3jY0+y+0MS6Azl5TcBIDsBacRtsCDpFcV/zj6hiDTZMMt6qLOtbAUl0W318CkIZuqqRiHCwjMEkaSGiiu86DO0YFoBHagqq0ZkR8n02aGZPoFkI6Qz5ijoMlASheJAvXETq+3FO0Hj1ZwGsxuzmm7eVEp+yl7N+bt7ybw+3ov7hf0OYh3o4kC1Xqm/h41eDnnh5/XMu7g0lgx89RnQ47Tpav7Q9MC1+f0aauEuzo1M/9DYhpl96Bn/+YfjoenJjGjvjBXNpiKh2JveCrFyr3ZuAHK0XqBDhEszj9SM9m9oeov1THC0p0My2agz1BuLphF4DKPYqd5eALlUp1TOBdpTvCA9dkukQLRUpCH84b4P12xyWW5hNjF70RuCrWEUzLYozKhZQ+okFJjqxOgj0OVsF7/blkQ03Zh1G8xLTBSIgA/B6qNTnQSu33ijMB9xQgVEHw8S3Vk6LACHzSL2biqhdgfUyXEnTf8hkjVxE/OGnL700TZ1TE8+khIES5LueUM83Vzfzry8ae6+WUAjdJhs4puBKkgVlqYpY2CpfASWUUxlFYdAGgK5ocUeIfD3ab/9w3f7f/5Rqr94ZyZroddueCK8t82iwnDuN1gPiXekckHqO6j+mufvLeOYczd58DNLj1z5i9fQumNimlAyicmQcrb8WdQdVTmZHM0fRFLbainb5JTrNMJ5yDq7RolktUKFcLMRy4nMcXBEr175aGiMxRVLsfd85rmU+dY4CvYHlETfMFLyE4jIgDNep1Rcztr3yjX1GqEWZExIpaNe1Izl2Y4dQhuBnRHe602XQqMGfPv85YqX89oWQ8W6xpd9LJQw8p1IXAcKBDyie3M6vaJ/WB2+f8Hi2sNmdfr171wezGsMdSI9D8xzOOOQy4K2Pa/a4DWsAiIapDI2YVYwRIccKWI6cV1xS7M0IXunZq6So26hxQqo4MNZgRHHICqV1CBHPwKiCDlJR6dB5yyfMC2yXkG1GQNtccPeWRQtdYl0s+MplHaAgsc+N4Ygn9q1TwegdlTGWH5PT51AKuGoXrDeqJv0HqfCip/S5uxNam9SsEFRP9SDEcZHqA7K06L03BlY5sNzj8/i3ZKBJAM4YJOvGQnzQ3dGnKpGqN4npaMcHDgfBqpNlZCHmp/4KJoYbmyKi2ZTkdBYTwbru9nx0Ekizt9taIeOR7FeJDh1Wkfj9QeIohk8yXKKhlvmkUnnkOahNfo1vStcv3GfDb6npoqDKRbUQFIrueC6JXJaES3xKOlEQkmzwCRwTCpqJihFHYJ0+GR2WvE6MLxu4mypktcubDiPixzPQzZ7VgNtEE0CzRvx1AaIMMResl+jEbcGI7dKa6HVxO5G6JO9MqdYAEaATImlxfZ2Z9b3HWIkGwqlTshBBdtVZbHjiOEurd4aZx8ZF3KkF8S8A2KGxkXMN8iPO2jbnWoRjUdSCA5QYUTZPowT72nMbjjH9HobkvgftmOLKib3xRES3ve4Wn86bP/5x+Mv3+P9v+uTVn+v46u/kpS6U89BQQJZ/d3z2eMs/nav/R0bzlj9O+RtNheRbam6bVAV4iO2+erf2jF6hwBjE/6YUEfKYvdKQNKzshxbMTm2UdDWMliBoBMRP2lP3UYjOYVkgZx7etJAJQ7v/5VJj6rvfodncvMp6DgYPmGtMB/NfTnjeGAZmGdBtVSDLY4YKFXlGqEqEPo5UaPZPkg3tJwgznZYz3pdvZ2+fHl5ednvD1gUfHv9gljJalCWRAuvWaJR1TE4xkikn2L4po70vr5+waLkl+PLD582h91xv339829Mu1yFmiAVSUV06njUiooOXuq09KCgFzpfajVNjhUvc7w4EBZ9TC721CwjIEPGlAIgyLJxZk958aUGbVlTLkxm2PToBlcWc8/N9toTCkiQFndED+iyFllExTmnRiNOj46KGw6ZdP6Jx66toqCKsPbkkyT8Cccjqm5kwkSdcXQ1O+qpgwOGQxB/8GZjyZXjchd81h6TTjfdRocJoptrBbbRNVoTe+Z9COYhXrrUMa0PsQ+rtdErdGSEaqGF9yY2NJN94ryHjT7+UFZ9eswE7uvrIr9kYMlAmoEnO3JxOpnfo/ktpDl+B72BKRmoNllC3BfryfAeDjTvJb7fcJVKl8o9ILk513K02V3LGZ13rHuGlHOwCcJkbd8k9z7oFsXUwyG4Bt6SigKRFu1OVh6+Mdi8eKeVVoH0vkKr6OTM4niKBeFiY/YmdT94FFrjDKQ4o6NI4Ya5NghjkFK3f6MTUv7ldYIIJoCopYQZaMLlrdLeGwAHaPU2M5eCrgCWt1GKCZkhvCGr1Q25QRps87azPzmoRGA6nWiOWdP2Auo6huxuwRLWnoQan31qBVdRp2nDgQMeX5u+qwPjhLWj7nqJ1PsUKuJJ0DVXGrDUtdicRxK7EjGqv9++bP/3L998d+QQvKL8+5Z5LKrX/BgNeQ3qFk/BRTis/eJVx6gFfYzYHhdFdjbTndtqJxnHjHQPf/Yvm32UtxxsG/BGv6vOqQI+qYESmbaK1Wtw5kCV0dYPhaEOuw3g8g95BnDjzIclPhF6wxd+43yAxyMfdlu+Hhgl+vP5er7gGyU08OmsNaBmPc58G+2hro6mwKLeA8MPscIQkk/EPp/PWAR9OMjLgFnrxsuAk7O3WTVTtjd60V6UnGZlrCyZt/PrCaXg49vx5bj/px+Pm/X5P/96Rom64rizJ6Omo+HB9ctCPVkYTcl/xbIh+RGNQ6MOTMsFBk2yRB0TA21FkvqvOGIk4QJPffBLmJ0lD0IADyS6vM5iYTAYFoQck84k5cFUK3KsYdku3pRMWdpnAy3RZ1fskSFsBYE6lLDRC/6Rzz423ZPgiWgxUGyiLi3t0r4zoYTAU1AHrmR65kFBWrN0nUKaF4aTckkVCqPzW00m4XqxiRo1awW4eZ08tQBuMpE4i5OB3gdoUPIGKd0nHrMy0MWBama1dP+OJ0xpiIvckoElA3fMwJ1OXXeMqNsUYh5xKh2h2u3aFBJDHByYkkfPnkfbl+Fqznczp2mc+2s0IeXo/dJVKt3b594KuVjeF60hl7VM1AgDwpwCo9WsBWP7VuEeTOBlfM+QmjB7iGYhxuonoJKdqVMULIz2NQ8wh8O8TREcn6ZVClgcT7Gg+t9hn+wOkR55KPKtQAgikVNRs4cvTnSUcmSuwGuRbrXXyoyMtTbFE71d2Co3M3N8LKUpLQ5k1jt6jV7kwwB1fIbyNjPQrD56PyoNPKY03ngf2Qtrx7FFzz688w7N7aCMFph6n1s1HU8eX4m23AXmjWZupqeS+ik0Ajlm5e6ucPjMSycnKGbX4wSmkBwU21HTS4vPwKiYivhsissUiSGsbXvRoXco/Xz3svu3Xz6x+ntbnbEwUKq/FdAP1V2v+NDnLV6HuuG7UVn8RZXLjfW7ijQZzqfxPOMV3vqL9b8oM7KsKAtL0/l5X98HnWP1VKCOSs1JmplYy2Lp9iED7ZQynIrR2NmIlSOj+siK2QqPQL/gnd9YDLzd8qXYeDj0avNyO3JB8BWMM56dXKmBRcjVZi28nOmqUuin0lEvagbphlYkGzVVGOe+y+m8xXOv97v98cB3A5/O6Zw0Hds3WMmQTcP2GREjQWR9w3Lr2+3LcXXDI6n/8Yf9frv+P7+e8Ap2jnPTWLvv+cqmIS2GGq7bgy1OcO+RvFsynCLiSQSSyx6+nPFSQ335FwU6MvxiScBUB58C7PhmX0GkJxhKp7DrUiDoKqpACawIKa7ICRFCtje+u4InMs4hL0v/IU8VUQso6hSIRA7fRp2Ucs1HE3IDksgITwKS6rQqBvuuX9mJvMUDHi7GzE19CzI1do1Q1x5MGYgdvB1seXpFF8vAkMb7M87wU6Z0fFJ4gIxLzAQ+5CCe0qmcowttycCSgSUDozMw8xVm6Al1ZrdGp40AQ2MbbPyhSRHjD/VgynwDa95Y+qEXSQ+Jvwh48IT0isG1Oxn0luuNnAfBv7r83Sk5B+tORFJRsy43jJJJSA8rGe1hbkykVVr47BFib88ac9LImMebeVCr6agFVWy2WLBqsrFf86VRMs9IPEo6efm+l46x/rV+0SjyF3GUyiUhj/Y8QXOdQZ7kgO5EQxK6XO7iVz3VW+SzZLdq6mn6rWlEAZhlV8ikScGt5RCANK1ve2O7vu78eDh9E5YumcntVjFs1V8ZbLLxv7tvnrk5G/mVQKk39sZD9sS0t6v8apS1IGOCqXiwmODbEoNzxaJt1ECsWPm3+uHT7k8/S/V39dVUfzeu+ouqC2peqG4hSX62+GwujWkyIIUNPFwYPzVg7ZfP2b4+LN2DhtkpuUpY03FZli0965fJxlLtetHR3hBhSvY935CzIQboisLjen3BbyNQrz/sD9jzCdH4wcRuj0IwDhb8p45FRmNC6mkwEEfT0k4Vol7UbFFXlpOlhw1qLABj9fPr66etxLY/XK/8LUgY3QbFFtuiUawWCWJJ8vVy+/z5M56Nfvj06R++xauZ1//+1/PvX5DqSK5iG+G5kqYORU5SrzrkUFoBQgtU/WeTJ0FEwSAa2soGlpVQScCVRsfa5Mg3G4lBb1twgKF4uvM9cU7KsAILGbclqM49GqKmQ6IzVdNK0U8XOQDZ55867VqkqyBNhlKwkxct2LIKOIWaNgDrJVjS40CRKWIYq0HXJU/VUxnnP+DSLcSV0p+tV3P82Ryc158RwzQoc4OU5k3BFOgfNKzO1HytcXcmZhFYMvAuMzDigjBHvHc5wfSP+S5ujc9n/8DE5kC18f6+a4SJs/ZOplgyZL1TcL8gnWuJwd7uJsEO7CQeOIyaIzXCMGODYHIOtpqHwiBDLaAZvH5uZQBazJHVX6MDMGaXOV8mFeNKu9TzjFyG5OEHeuP1c43kBkZOoC8NTjbE0EDuMtAz6m7xgX40+Nltr0GxTp7EMfrTBgR+G7vuVR/KfMhyW6yPKxXZBs8ayBVl6fYZ6LxssbG64Kyjlov2yWmyAlhu6SaORhTfRDL9bVIbF7d3d1/tiPAqESaHQgq6MiZ6P5qDES3BIQoBHajfOxSiGit4woNQqABnfdVBKA4+xZxH0IZHcXRvss4guo/ai1vDbAe/YgOxdd5nhjQKcj9+s//XP3zCCmAU5uQZyPA6dtKw2/d1T9vlC7iTQgYwZA/PfOYbTzcbrf6yCLRs82VAyiHIOf7Hk8bPePXvle+V9bN8KsthjD1iTIpntR7vXqy14Q4GOypiyFa9GpNA/Y8sgYl9r+HGhAb8lJz2YnUZE4kUA8S3NF/X+OTQ4Q/r5VEH3m7f3nbnLX8z8YYnpktEPifaDYhtloKUtBpEQRb0BnYFxHdFvEHHk9HAORonvdPp9XA84kXI+7frly8XGvRCHrKrIRrFairoEyfgqAHj1cRfXl9h/vDpmx8/8dH0/7la/e21vQbsBwGgOL0BNOMGLkeSSqvYpuG4q5WKGMsBCVEKsKx+6kXPsbiDRTVn+FIjJYYI8YJanb7AoBYVnDssi9JBtwmuhiEg+HAOxKFJLRVXbMQvTkR4iiO61mRHXaQdg1WKE4zkVQSfFI43kREttDK5dhFRggLyKQMkQF4xQApdu6IgTZETeOMgTnVGUhXU0YoQEvr4TnCoEKu3QiHuBGLzZanAuSfOS4H3i8iDM7BMnwcPwGJ+ycDUGcBB/dBr0tTxlOB92BPZ3Ufy7gb98D5+DLs86JmbnuI+EWWNLmdrKPO4Mw9qzflAuLvBYLpPq/fw9AHvkC1OUSQ4tb8RtHmbIRkrs+/vUH+NjNlGUvUeVFawX4geotTzUjkHPNAb71a9QcTpUYvCKhKixz396xaPbiDVM9KP0m1M8cqCNalS1CZfx+oLrjnTZMToXca6+IbTvBdPJv+hQrO9Bo8byFmcvGxIaWgFdUaY13MyUGrlB6g5WvezXmKJBeDqxpvFYdM2EhZT2eXNWG7uvqsl1dON7/aGKoNDVZ2JZkpQpCNjY9Lhfi5xwRdHTEl64gI54pQ5pFBeEGS3BZK1bG8Sfu9tZSUSc14nakAAGz8ZKp6BLNVfvHLyR6n+4snPqAGLzIf9wDCi8IvyLx57bWt/W4srT5iJ7OA/oZ/BpfUWb5VFEXG9RuWXK4BlEgb+rC2d9WpC20hgWQ6dqi/9ol+mWA3IKTq8Kre1T526XsaNulBVMZZAO4NBT/TcIC0qYI3sBW8JxoO7t1fWgKUOzMMHZeDr7oryMJ4ZjYeoizF+AwuwVC/ZmuXkuzwAmyUq+CZo+wa2IztXbzc8+ZlrnQ+sAWMVsDwIuqLa1hVrDSazeg2yLtLr9RWvBF6tjy8vP36zZW3z19Nvr9e2f9hQE6AuIB2LumV3qQMghSkdHJFhZy1VNwWzHmmCrSp64XPqpLPJPQFFk3ViB648BfZEkQUMDy0h4qPikOqRbFi8JAeP0BEAkXPW0ZYtSIlMpCVgEY53e4X3S7gUUht0CcQBGqoYEHUKmblYiG376VegM+MbEWcdFzEHVRmNyOGghJbQnXCQQZL99xERD6xE+2k6IdpHufR4DwZHDteffXyHxjZkVIbolPs3L3q5HxXJjzoBKmEu3SUDSwYenYE5TzZDsYfq3S2Xwy8cA0MbbnCqnAx0fCrzLd+Kenr2+FQmOSlyp2eIYmCITuJZr05RGL0Q+wo3xFsj1wh9DQ2VL05RJDi1s4AeATlU1fRsPzSDGb0oVxmuIxUJ1dV7uJsRzZDqJqahML6BMbY40BxAykl7LYB9WN3huJs5fUBT2f5+l2mYVHcIqT+1XgeA2anpxYQiISjAVhDtMBzj92oHC73UnlbYxfPRwrpfvnfRrVGxmvb9PEzJkHQcT7chMI10z/unJuFqurybjD/eqtX7s6rBTw/qGhAze+AZMgH5lmJHUHhlexEJST+EVmcE5EiWTeI16ESSwRtP9DacR9iBdNxv/uHbwy/fH785Yknfm7z3V9436fU+XANjgUWMXM2I6i8edIsNrzoO86AkYJ/MEuGMzFj9DOTUpHEuVrVZ+JDqLx7+vFpx8a/7kUFVcOowBE+nvJS7OOnLbKoS9LXySz09ZsrUc4H0nGUGoY5br773nqYsT1a3owu5cmqZIDnYMnUN98bfhNyuGLobDhjUf994/GzwPG8uo8dobs4bFIlvUtpfQbrH1zCzlLrPnnD4EZ2n61IRxaBsH7HYVDI+62MIf/lQcrwMWB50jXfwYnXz7YI3uVYwql0zZfsqP9fPyCYk2KQ/rAFjHfBqf9j/+LJdr/arX1fdNWBGqU77zwRcHBIZXCbCeAc/cYa0XztIyuiNKQGaYwESln2jSZ7jV5riBme86IoMxKVjFDWp6qA5HIUP88fIkHZNccGc8n6vpXrrY8JrDYLTpqvm4XkwR0wqYYKjGf30SY2JBjncXKiqLHw0A5QKhU8tgIcvEhTGHzdm2IEqQYiuaUKBE1phyEzd7ZncNsUA0a9lZvpp5aRd6DnWnWiW/DuZS81Ml8gUt6l3b3tNfrTTB3o571yaF709IQt3ycCSgSUDSwbqGcDF4j2cmof4OPA6iBwNsVZP7RDK4ywXeds/pbMH1MNAD9GibHih/mnxqsMaSSRJZxheT617xjs0ujK9SOo+QUUGeya9TNyiwH5qU6X32obYNbfLgiyWGuJKF7jccJkDuMtwH35P/zrEOTodIqXOTQTjzEXTZizw+Bs9kTOl2RC5qufVfi8wE3bOjMBqVm3mmHXdD01IijLZ1KvCPnkf2StNdEkklRXAHJt0fOS8llZJXS8lqjHPqtr2PuMOMALgnW8xheOLFGdU7nin9gXISNFCHKj76i9v1aIP0ACVOiAAhhIgcyFYfgUrRYl6NBd1fdMTGZ7KwKvjbv2P3x//5aeX425zulyl+nvNG/dIAxvegYH6U6kh6j0fYruDQyjwsPzL6u+yzZEBG3Q5mlAs5Orf1foiVXceGsafw3bA5DEoU77YnJ8PWlCRc0I/hGAdLXUgIZV2RLXFb+9pCqhkfIqqLzQpGbQaohsLMSdSKQLQ/XkHMvzNBJ6XjkNpt33b7aUQvN4fDvsb3g2MB0Jfric+RaCgHKVmUue1F3mRY9dpBmX7ikRMroUfxuh8vmy2r5vtCxcBvx1Ob68tUUSYzFwGtuIEupFOnekpKsWBu+Jh1F+QzMPx8MMLz1pvf139/ctV6pR+YL2eb9AdCAtOk0nKyMBnBHCe1MnggjIsbwAHMv6JJerkOX4kJk2jiydCgVfOnApI2hTMGPRcn+gsTIpTFn+Nm2BRX4OmPmRvXM4rOuSgoWJhLxVjB7reiBJEKInYGB+bfquAkM40idkI08u7hhqlY3gAgpTWpS26yF9iwlRypdxIMuhEROILvAN52C54F7uQp8YSc7cf78HgCN+x64NjblGcNx3zoreElWU9lzdZFxfikoElAxNlQL+wTAQ2EmZOX4Ziv4fz4UAfB6ZkoLWRc4PqZnmg4xN4oBDN9ps5WeMWUJY5BbGHgVLRniHaP4mmiKYLw7mWRJJ0ugAm5NfSVCNM4dlQjDI9SEVeR81J8pTBK3NruPXI5KSmgDvPfWwfauS5p41tTJoCcyb7S3NjDtvP4mcPV2B/jvRnPLifpYzxRpLM7kbunRlPkvFCbS0AAEAASURBVKL7u8Ep6KbhnWZjz5G9f0p6OtgiXikAJ2dzuVvMG6cI0Da7DxqRwNIMOFrE0ibulrp7tyqouNY2ZNkbvCPyvneFZOKEDiz6KMZkl5smkVfUdH+GluyV6QATjusAX40FB3JikCHIcbuR6u9xv9u8Yu3eBYW5maq/OS8eQMOYueovjPPlpVd9aO0DXJnapIz71KAT4m3xsOANnjXOB25jmeWdHv4sVSBGUZaecHxKUQend1R3ytVFNP3wDqTk9t4gJQfpHNaeL7XJhUoO+7rlEHTEg6Y/N0ZkaWouqXZ7O11u68uFQ8uXAnMtMH9csd5dNmf+uuIsv65ojCdn2mi2r1qv9VPBtFcTzhLcYLs5wgdBn7BY/Xg8sgSMWvb5XJ8+sGNEhoe2dbMmhNjoW5UR9wn+Bh9OgDgcV6gBo/F/VqsvJ/3dSiwrVuCH0ay62DIAKhrpCIYi4CriXjhLJ+R/NKK2hiwQRKihKJZe+kSKGJRyHelq/VT0aU91wPHG48xGZrw1a2CPDXC8+smSXsJpRZQ8B70RG+w4Y0o3w7ZXeR5Ohk90bk5CzTEg/kIgI6fSAYd9wYK0+AUWVwirqkmLDCUZvzPleKLFNlGM5YlOKKdorCF7F+YQ1YqOeVwhfy3d6RL5tWSsJc4Z59IyTi15X1hLBpYMzJuBGc9tvR3nN43eSovC0AwMz/VwzaG+JnrPe9Hsn5j+GkkqJu0U+TIk+UXAU4Zyd4Op8znzubzl5FKkmXoPMxzFk0lID7d6iEY2Q3OsfkCKWgWgmagjgCmaVSeq/dhGGy+W69GePsAGJ2vkGqGH1x2iHUFNYbknRoF4JNLhf0f0HezITodk2de7BG8Wz8VCYqbL8XJ+zeFmO80cNWd8uY1Z7sFHkUQmLQNTh1SFjgvAaa1V7pjCvB9W31CS70aQyXg5Ad5hFRSTEyHpOAld/sPbyU7SBx15JGynIF5FtlyyICKwXt01IknPCkieBCedo1lmLMe2OBQRSbKu4pCAJb+/fH/4H384bjZr1Gq+quov0uGqv3yIqeVm2c+UARSRWP3F+t8Nli1i5eis1V83nr5AgqAahzgw3JFq5zecGuyYG5qU2IFijGIl728KnSPrMR9CdRoZUS/DZdpc2diYOSlhkaurRGU98Bu0sAh4i2XeLANj268Ot9fz6yWzGjhjXS8tOUYaY+ilsmnPS4Hs4/JEa0jhzjq6h/zb5XbZnPCE+N0BJeCXM15+zMeVV2G8cpWRArLX4FudoYL0OVJhtdBqwEfUgD9xzfV//nb69TN+wpJDh0NOneVB8VyvZUY2D+k5L4M0aDTbC4EXE6cqdJNyk4PlSz2FgkHRRCgipfh6PfQROkXuxB5BhIYPKa+KPFhyeIiYmjKSWHUfkEU8wW+efUiJZPgMetkg68eVKaCYGHZcCZ2aICqdUk5CQdBxiokJAXAfIq9KTBsRrLTrnKWqAMVqJHnBlIGeAAmV4ydOBRkoasfsBNZX38rk+Q45eYDVB5i8QyLnNxGOrPltdVtYRrE7R4vEkoEPlAEc8s91DvpAub1jKEPGcPjZ/qGTZkio9xqJ/imdPZrZDRTktn9aCkDbRJKgk06b1mS80nhL5docGxpdmV6ZVJt/fXjIR6nBKVLXx7Uu2VK/S+W67DXzH5yZ9O5Hs5vlnNKASuWK51hwsWPU9E5LEB/R6rDkkQuCjURKUT183KDyKIAAFrkUiNVWIpQxnCFVITr6zsI4oAbtGjkJJ3Esx5GpVMNI1KbpwPg9zEzj7DQozSGzAKz3MWtjQgLvwoZNOuHDMTSZUa02KKAlKELh/WKxRQW9nS17kRBUlTb1CFHccCIeE3ddheQ/0KgMrGcZpu7TqCIe5EXF2Yg4vkm+yZAIi6rlTZPCP6v+/unnF1R/sewX1V88YtTfNfaQH6iBMcPjavm6UiTlI6z9jYf66ccJK3/l4c8rzjO8V1UPh5lCKC6i+rThoOBxIX2taLI52L3+DsBasRI8tS32MCIr2xNiKWF5juFg72ki7XuRhGv6L5MB1p0yWWw6fTnhobpY54131u53B5xejnhy8f6INz6fL+fzCY9Tjo0Jphmzfd1mfSwi2agZazaQVUSYbRI3nBE3mzMLwPvt8e3IF/FKDdiUbB+brLQbRfKMQA2tgMgyJl7QznXAt8Nq9em4++N6DzZqwGc8ijuMn6lgeICDc71D0y/EoWBrctyrbCwNIkdKxliejCzFV+kaWeusqk0Q3ShicEbjno7oVVEcooiQUnFKyJ+YN+dFUMLIqMRGrL2Rwqk4Sn9g0aCcBB4MzfItmd4iHBRhFXFegEIBFzN24oaKRNImJHvlyqfTcxT7aoEuFv6KUyaLo4p1auuGfagVexqlvBv0TjgJXJBl2r2wJz+gkYntzl483oM7B/zk5gaOx0C1J09Go3tPcfA2ercwlgwsGVgyMCIDI05wI1RHOFyqevcL1d0N+kzIQDx6NCazf488ljpb6kspnh+y+zWcayGSZ/L1mXzhvx4LtkhqBu9HQA5VHarXlasoUa2ipXIVkFK383J5asXERF0+ZuxeWy6uHG20Px0hTRFyT78LxCORDv+789MBEJlqxSqSS4Q6DLdaa2Py1vIs2D1BXbBJzG1+L7w5MoACsFQrq9huMP2YurKl9D3RK1UovhsVO0HjyYK3X3GrVNa9oYHVbGGL27yX7LbKHVvS9X6tioicGKpMJccwGNsHYKOke8FPSewBXKMRWMcXomsrnRT+rVcvuy3W/v7PtPrrZEfuYhdGQpn6FJAYKK3+boEa1v6iMwW6ebrscxm43bAklA9/3myubzf81mCu5b+Y3KEukvMkR6MStvE1khEIxarOWXU5fKbktBekpFVjVgjoaqGwoueUU+m0pxq8hr9hVeXb6ZULf2UxMFYC77ZYsro9YF3wFaXVExYMn50FAckh5TyojG9OLUfzUMa0vWfEDZwScD1AtRUF69cvr8eXI5Y141cLeBC0/bInFs+1G/HzDL8IlVh5EeFgosANEUAN+BvUgG97nMF+/Z0Psm88kzEe72SjFCSEl0g7onwtowHg2PVMgUhLNHxH+TSsl1Wqcjkr6LGM8wyo9sMCU/RXQ4qzWIxNaplOHRQ5cMhxKBSRTc1SxXNwBUgqoabFvbWpa+0N/JH2DT+MItVBKZ99IbkGO2LA2yNFNj+46ZdbzaN934ABqdQCrvKlQgmJ6/TG1M0K90iHT1pEr0YesbqbUXzdwk4ir1PPTDHguxfMZ+Tdh/WYAGacSMs4PWZIF6tLBpYMPHcGZjztPnfg78q7B42SXDif9+rZPyv9NXpOkx7JKvKlB573tAjYS49tBGtDfB1rnfrBg4D2KF+CB1Er52DEDk0TnMH7DKRZC/anbWVMTmJA/C5zvkwq9Wqc243aQ1xJHav3cHMhO/vrkqMpjXF1IvcMvEO8+T5mpyNewMXSYcmLFzRq2RmIXaBWM9XgXpEchLpMdvEbzEfkIk8i+VHN4G64MRdoo6BHKRdkehT+syh3xsmVmm4LLSMYRe6DkmgE1w4jGd0SjWUcEHe8bUqW3D+FIttOVOhRHwyPF1qiKFLuHrPX0Nu0Ho7WFN7hC0E/vKmIZs26tHF4VGoOsjJK1GSwjT9Uf//4/fFf5MnPfu2vh/uIDQyUq/4iEXj7LB53/YYnP4/astnugThWv4epoaLjXHTaNywGlac/b/niTT78GTs5Xoa6VdMD2qDNqVlpZXi4Qx2A12WqcK0hxpSMXkMUqZymK0dDGQ61No6PyHi06rfHrK5ToRL5b6srBvyGt4rjgNvhBwB8KjQqwSs+CPx63WLhKsrALI9BoxlQUFN22hMBfjSQNRZj2t5rZRuMYY0Vv3wZMN9rjLXMxxe4iyclZGtsAaQRP8NISNrBp096AEXLyZKPZ0GfOHMOt9un4/6X9WG9Ov3ld66tTzTiTprhjAVcQ2hBzafSikOaCImISujA1aVVVlx2TP77QwKzGrCCSl3XJpuQIE85vziY2faOuRox+z4hDlaEhC7qaDlnnQMaGmusKhQEpAV1L+gF+HRoV68mzRVyIaei+KxtAT1hqagLJeHAL7fwV1QVuSJR6/L4zFmHYAMLV0A7z9XQ2gkNETUr5R3LU5tRFk6Ugf7J668RmXve5uxh9Z7t8+Vq9ljnc31BXjKwZGCiDDzRKWmiiPIwg+J8DyfJIYEN0dG0voeM5CfAJNSGxCErDZxJrM4MUjqmvUMsBR4ZX4NfDeSRxtrUG+KdxZFZQH1wDZF4/ohGxvEe1jLaRb4M1WsFF797ON8KlmWWup2Ry5DUxEwO81bGPbbGuDqNT+ugi3e4O8HfCR2bwh065lyaCi7E2txKslA1jH7Cb4bp5lSxuzW8RLOqceTOmXam+ImAt/xBGhhEy9SjI7J3APubx3SIk8xPNK18kuJJlAkRhBptUBKJigJooMgtUkFy5w5DxR7/Iy8RnsDIh92NpbTlTjTlwyiqr24IIwCgJf7UyZFMu0RFla6KrrfuBF722z/+cPjnH4/77Qb1F33yc2RlvmbFw/kMVZAxZHH1F8Wo6+jqb8XE0m3KAAYdK+m5ABgSfPgzU2/HS5NSOT2q5pQrQdIdFXSFTV4HBkxPqjok7vsgxKoFnpsVL6qEyGJNQkX7kUXHn1PR87+SIA7+XKIaUNWkfoprIidlYCz8Xl/WqPlu9yynYtvutm87lIF3KANfsKjVDWUUkoNLjaU9b7GBnPK7hEw6+IDpwRr16RWFaziMh0Hz3MEVoUHGtGSfMZEhQTRPTbB8pyqL/u3tKquR345cB7yXZ0Kffv376oyXazdtcFmQIjgjqYrrgY8WOwlbyaBpFRY8bIaVSDpdecYxBVIm+iQoCjGkywY3k9Wqr9Iihlk3UejG5wDVdk45h50oduas4EkX8mbQGuibqGeBUGtLwdj5HoC9OxV5AU0+nB1JAz+0T0O+GcsHE0JVeDmRVjiIyyrKsT7auA7aUVbhTNutOTQt/GA0l2FL9GCcQYrjrD5rSgel4kmVxo3Q1EHBm2XQp07qgrdk4F1m4JlOBbP58lwn4AnnyX0Dm218OjMilh9nXv27b7I7c9Iu0CNZRaLPGnzwqyiM9qSN5OY8CP6NBJ9CPedgHTeSipp1uQGUcdkYpz3A3Q4VyU5BigpEOiy1sjNpyZA8xAzezADp3U0atbiKLRcLJvY6OjV3OuQTdvAotBKBXKeHKNRH+delXeRKkVA10HFuV9FCf5AzQT3fcqCzYOctfq1UTIvJsiwF4GSesZMQJM1SGs0kvFKtjRWjtjWj+6ZCMlTbyx3UYMXIiJbiqqI3WNfy8GjDjVScVKC4lmDV5U0OnCYJZ90kde+JUEQb/7P8hg6qvqj+/tMPx+Nuc8KqPC6EbS4YpKDvs8cpsEP9cbtFFlBummLt73Nmonn6PMpfZHy1wqOfkX15+DNf/SvzbaICcFz5iWLMJMJI4hFFVRVklF54YJhABNPa9KYVcQhCK37CVBcjkg/DaDUCGKU0wwh7FNns5AYUh4NEuSTlgIOya1WFbiib3lj+v1yxDviyQQF4s+ULuVEG3l43V6wIZkkTy8PFc5iqItQJ3mhN1HNspCNCSdMAZX+74Scjp/Pr4XDY7g9b/GQGi5brE8Z0IvwMCdwMVUl1zJys4kOWyTzzMdryLGi8DFjWAXfWgKnvLcEw2pFHaU9t4VPl3E5rwB7FVDBneFg4UTXh67Uq5HgUMk6szTZEZNPCqMB5H8mHniNag3ap4vbKdkJypuHrb4ALEu02VUGpQRHbFIGvEhZ4uq4Bijlx30SxpweqrXokuFYkpULiraMSh7A0Ipg0R2exd4Aqybj124XhAV4sOgeNLL5AMhzDgcNWbD3l5HpiIcdooWV0MqQWgI/I6pf2kRl4B+l+By6OHIRFfclASwamOgDuemJpiWdhzZiBqSbLFC4+ky8Wz9MfBE/voGVyzF5mxhNMj4ZkN5BbIu6v0QKWYz1Bsnr+gyAXRR/a4yPOeVAb6BqhT4xBdhBMzsEAmWn1VshgdJNKYymVa7I4Vj+LW5CiApEc9Ah321QHepPz0NGSuxstcv1YbTH0Q6J0z6i7jVOiW6rF0eBRaLWI92aNcq5AucjrIqGuTBY4U5QdcWYkmFfnbbSvfkNG32caWACOnI+mqTR5T7R4C6JUCz2asJ7u5Tav0YwVi5lNvRNsEn4vqtYzWe6FVmc0yqsuFShSV1S+Y/sOhlpU+KnDLt316ognP1v19/WMZz+jHHetpMKjfIgG74FrARLhSPX3/MHr3U81bGv+7oDl3+0WMxEVPlSAOSdlwo/y1JeJilHcCdDqmXzGMTZ40nJYZcG96XBsZeUaiR6gUYIM528iU6GJ5xWayNdoMQHt1pDpXirQ/xoa24sj4AmTzwC/XFfnC1bUXg9XHJ7bze54fEGFGI9a3lwuLLeyXBwrNrbbpAohUmwD5B5/yAQ+ceqQB0FvULG+YhHw9YoVuCFNphMhZUgKGGTyIoGfnwMRH+OCNJ1PZyDpOuA1a8Gn//47ltqD1mIALB6EIlETI4MCasrtRDhw8I8J1/EMEffSwoWQK2vSCEn88yFILVYYikZGECAXwiDI5hjswnUZW0USAbEEDjTQVwGn4dRFkdZ5/lEAT1IRMY6m85WGvLfSAoMqQpSzGLzwNGHIh8E7HJRiHS/ak5eqigVSVUoy4vTyOxjnGGIzVZPTvjzGXQWMIfuqdMKsdehory1jsZf+IvwVZGDIJBmi8xWkcgnxK8/Aclx85RPgg4Xf+xsH48dBMEjvbrl7bu/ulob7GGo4JT79JGnNTukMKpXzxhqy5fnzNnq7O687hv7IpBSnpFjQohq1L01JqVzVmbmiKcUtlav4PTTcCky1O9CbKkzUx82RGbbS8MuMl0n1CIPulbqYhQ0ehVZW8BFEF9loz0oBqplM9KrM+yYkuBJa9/VgsTZ5BnZ6hxMzSwbVZhiXs2JzXXcXVGmdn1QyHArrjVbAg8jbwrw3LLTq6TJWgmjGKp+vqFKprPoktDpDcOpk1RGv7DavkaK9uu0JOvMVDJ/aBRfOrg+7Dd/7iyc/79avJ74EV5SbLXvU99rgELG8hFWG6w2KShe8bZR1kY8S8pPHIZne4OW/2y2OJzzlF+VfmZGD/RZEqfyUT0mxKOJSq0HLSr/lGCZJ0+K87vvE0cfr4LIZjg7lQAqHd0RDM1WPe11ui6yWlWI1gewTbFXBwHTPkyvQULm8nM6Xy2a72u8Ph/0BxOPhuDocztxOOFwxYigEMzp81Bww1DR67aXprqnmVMSIMdxIe0Wc2Pn23/N1wzXAB8zk0+srhfNOZKhKwicxM3yz7PZdEjaZIY4asK4Dds+CXh1QSf/LZ5TZYcfXHg0f5g1bnGHfCCaDfSQWUa3pFXixlI5RqIc/3YTrrqXuakpejA09FSfRoxkAfcXDNNJ1r8IEqqZAtQVEmnbVxsnf1CQLRlfr3qz47cGCXbqFyABJx7QjXH43kMIrUN1e6ZGuqLi+WhIzpABVGU5GIITBcED0G79LICHpFoIiXTGqMqqhVE1BgiOY1MwNe2pNLFRJnX0fa1Uy72hVaulXMvAh09Y4SSrB36n7IXN8p9wtZpiB9zWDnuzwW6bQO8zAbHPofR1KpSM3MKrZslzq9/uTmzhlE8PV81lqoHQGlcrVPZmdUhrqvI40eNFAnteXLHrxCBYLZs20EjPZyJCaIHqINkFMRy/NUqlc3bMR4Y5QrfvRTuFLtx63Dc9ui8/dAXVLtMCT1d/v0SY7PIrYzlSbj7N602Y4crNHM7gbWg3qFJC7jdN70WBxIbsMIOOdw9MrWQEwtADAFcAwBJrcRyYk2rppo3aP1LhVhokTziBF1gNyNrmO0biXPyNI1+7MKox5xDu2FDcM54juRD+AGC8ra8zEdF2XYgrreXEDzrkwYQTV31++P/zrH/Dg5w0fs/quCqE+qpCY7haH4SNXf7szMFpiUN69VWhvcTBw/fVaX/2Lt8C6ookX6tHQeg+mdOnmRa0h33/g1oC4DMKd9voglNRZLKRgxihqMLGXE1JxchLRgCKtNh5OFvSUIhUxR61gNXXVO4OQnpJyChDDq2xvr3i+8vmEl+yiEozpgj3+57PaT1jd+gqhynLgZkAY0XmSs1ZEc/5bAEHndn07n18xnXeHPd4FfNnCv4u/Kplc3jVQ8T8wC76B5xEcvjArEpqfyyueBQ3O7Zvj4Y+rw+12+vWVC5UzGxQMQvbs4w+bkaUTiUnffVTJOM86NcdBjA4OGo4LAt8HTJbmwWzxNE11zD38qkuZ1HaQyJlrUS7ACggLps6YQAjRLNK22BRQA/HA4gowMwMC624zP6ANSerKhxoTx6muLpqsqeZKtYYb9kAMRx29kUQZRpALLff1gomEbTFPJrzBVjvXCFXoKkAhtylQRxmYoU62TQo2zCuXj2HK70brI0Y5b0xPMDVtds0bqFlZ9hNn4Ilm0MSRLXBPlYGvYqJ9zCCHRPUeLwdD4nyqY+y+zvQY4qLMFglVQhyiU4F4P90eCR8d1NDElumVSY0OwgHcIW/3DaiemIH2SzPTE76neD2cKqXUz6regP5w34dr5tzM3OHJid2ZlsaY9vq4cscBjdxq9reZE6m3Ni2iPJJRTaoVqpsJGEPsFl4k7p+BHYZHxjoacNevkmPn3F3SiCR3aeUOK++VVtDcHFAq7/IqQfuJNBDBj9QFKtx9TVix+VjF6Cac5alQm4i7+6vamiff9gEwE3tUf787/Onnl80aCzHlJbi3t5xRc2zMfi7cXj4x6rT6i0eiulGuAg10eKCatz5W3wM9ZwP1nLUs/t3yEJZX/+KpuZVjp9B1KXUUypoYjOJ/TbLUWIQxLOlw22MZfsm+acbldGEg3WoEsHM01cpxcrTUhushPMgiN0l6itUFJZW2nu2zZj0RZvlo8NMVzyU4853AfDMwng+9ZfOyxyrhy+kLVgI3HsJEElNl9rxhbZiS7dM0eGFk6Xq+nrfnNVw87PZvBxSAjet1jWB7z+j6HuoFTbOyF36TEIujqxvq5VS6rb55YQ14vTn9+vl6vsRlUwNFyhMseMe+4PhZIEerXA4T2WieODrOti1znbY4xLyQ0k7VNvMNIPmUi63OxkhM9UxCPBVvucaX/ikFe7epP/g0YKWLoBsHXuO1TxkpTZs2XJG46o4GCSLzZ2AuAQnDOgLvvENbu8bk3qeNnjLoqkUGB1ZtU/ccIjpehumtSSshFotE0jp1xPhgTaaIWX5IWH58HmJ9Mfp+MvCwKfp+UrR4umTgK8/AY65i90z6x7xi3jeqh86S5i+i95xGH85W0QwqEnpMatycDFMztB7j0NNaLRvESGqGTI6AHKE635AUOBUldA4/MvAFTk3qyb3s1UK9l+FKtnhTZew2t+ujXZzCwR4Ywd8eSj0HIdigIu2MtwXM8SA94xgq/p58HRpjt94unQb+fmiFHANlWEbinnd+eSsQ/7PhWb4FDoluohhfaDTj5by2IIo8hb0ChVs2w2mS74MVR6QmlUJvdO2vVn/x1l8UU7gQ8yNvrP5ioTOe/IwPee0s1jvzcajLdqcMSN2CD3/GEODhz5hyWOZJ202TvcEvFkWGbKoW6r6NGK3+xNZbBevwsWqdG1FyAZbSANNDNDIamv6f6YwvBxZEG1upmvRSUqOmMGLZ29vldrqe8Rrg6/bCMjAKwTu8IBhv3t2f385YJ6xvB6aiGxFTt327sZhrGraPefW2SKEGfT5d+BbgI9Yq7y9nLFOWmmtNPoCGVk3IEboknOludVRDr6cTnkyN3Hx7xMuA+T7gv/ydv77IKEMIyPpJdmhFwvqsC5xQ6UTdUeg4NSfiVFkYBcNvFFJBnpxZ1zRFpZq0FmLVGpRV1hkWSRMP6IKED26Rg0Jh4dhqospTQWmjGbx0hWelmW+EFIpoiZJH0YaUs0WXL4Q2bepxM/eVjp7gKM99qogmBArmrQhKr65i+jHHt10cJlPZe7GYriOi8cR0iT0lLL0lA6MzkJ2Eo1EHAzyZO4PjWBTnyMAyO3IXhjkyvWCWZ+CZZuXTzY+nc6h8XKeVfOgsyX3ZnTa8e6LNPqd6GOghes8UldlyczJMzdAqA5hK6umzWOygCc6QyQykWesah4xql8r8/AKnSuMb6GwGvs2pjPhAw0GtzV6QGt+q+V5suKY5yplisy1W+mN0xdDFb3Emx2pzsNRUG0bOptAGKTWi6S083j0HbqnfLWgLa2gG7pf/dkt8BDS+S3JGRFNNm7k7quTEklH8wmIfDb0JrTCJBktXOv2cOO5bm5jhur4nqw3rai/5NMVA5E1XjxvI1hKsFkCT4z4RQ0cPG6Wu8cTnP/LJz5/4GN7LY6u/iaNxBJO2o+rveoPqL9/cebt8BSeT+6S3dKxQ991gCfZ6/YZ1m6i/45yuh1UJAC8AQzY/9WkuPjL65mawAz0cz4nWaDWCT4vU0HxPG83SFUGcJRLZpCOnEGSM50huDclLdaxn+5rBKqEm6Al47e/1dn7j64GxBniL5y3LeuDNbf222Z3fLlwnfL1gzTBTAOe8YtVEY980bN8oWAdfv71d8PZfnGXg1f6IRcBJAThBTDpZG60SxrR9HSHD4RuTUShfn/Ao7W9edj/f9qfL+bfPOtwZeYKGHPLSV9lY4sTFSmaBXIjrItQgC9osgzoAxXJlX5HQD9FXk2h6aZt1EEos8ELpCdKOvRDXBEblIGC1bneJF8fgnHPE7KmTYBJdPpQSsiFmYpZa8L5QXjuJusG4PVNHKbXbJhkpipjKMrbIZACIiPCDX1sCgBkNFG1VxCJ2gubpeapnL425MxCNaaGp/hqFwA8UmzemZZI/cGif3vQyO55+iBYHP2wGBh19814uJsj1kKiG6Ezg6gLxTjPwxPPlOVy751niOSIeMJMzjs+dt4zJAY7XVebCrVuakjJDtvVW0JRO9sAqG4UZou7hY040+B1aObly2vPFGG6zdUQxVQrMjL/D/IQ5MR+X/YMywBXAmHDJ7U13N9XdnI1mTdSM3DUqbxYrGD+lww8tI8hdVhoSxUA2WyRX759SNnZMenJ0KIpAVSRIE0diERW0zzqscap7uX8t6RFOdGBKyo57Vn//5aeX/XaDpXNf1dpfPH74ivVw3M7M0LLlM5BNTfPczIOkVDm28CZXbDh6uPrXLf9NxTI9vx41w2snhTBQsbSjuF0lwyVKQMoINJP6fK3KmUhpaS+22sBpIMeacv5KCehlFW38ycSfdSPlSE2avp8XjzQzJr2yiYHAfOKJy2+3y9v1vMZbgXf7wwELgY+37W17wJOYLywDn28seMK/GoRBYR+7H8lFzUg4NJv4txtOpdvLmY+nxouKD8fz6aT+Ot0mxQS62WeoC4Ltg1rUarOB+vmZVen1cb367rj74w+H9er0t89Ygt9sNOJEzciglkPpGvkwj53frG1CnlEdGwryosVHNxMB/2skbJDBPsFRNnUgJGc895oQpJpcvyuiybVZLXhYtQcjUA/GAqqzzl3EhykYEtdolBv71lZK9dP0GVeVx77xHU98sOgBX1eTRIkfZLotEQtkY+tesFOS9JrkM6LDSNnAh0H11qLtR9rv7XBQmH1cgqmltWRgycCSgSUDSwaeJgPv9LLdkb+PGVU26OH/os/C9SJ+1V+enniO1Vx7poF6Jl8KZ3vkctQsVG4Xqw1Vu/gzc3uEMjCLA9XunLSOmxUze1M2Cj0z2VN8SIhlfg9BnkCH8d8hB97TJBlDDXMeDtX1niyNHhm4a8InM4YVwFq4dZHKzc9s1G5a4nZqvIWe8YXLjkoKOm8iYzYquNzkpVTQFR39iImpLXDqMzoWF4Akmgg3atZ0Il5oyp1r+qhGfQMSZB1261++P/zzjy9YBHz6aqq/+t5fVH+x5lSrv9E98pC7r7gVpqiVMqrJkJmU1EWCRNnU3MrLfzHT5fnbVxbpsLXpikRwLRjsbCVKMthtdprg/CzpdjWBCHpQbD43RTqJv46eo0Uq2swJ5Wg1RRC8m+EMhdFv3DD4myZmVU37+onMS/KzI1BVdAYayMLlDL1d8fMBPMMYR/NlizqwbIfdEc+Gvlx3l9fzlTXiNhRApey0Vw00lAOrHA+DB+mfzxssTj4c9ocjTq7wzgm3Y3uE0EiNiHozRjMngsFgI2Hn2wmDcXxZ/Xjcrb4/3Favv32WNdNNpquDhr4zpyVO/cYm1ErJ0tlWltfyCXHSAAuQaGuelUpZuwK7l9KqbGA7OC24xqZ4EebiY3c9R0MnoXmvXRFyGArtTn/oQEJDFIZyRVR41HeyQd9sgAKDznjYOUG/Ex+1F8F7dtzAQmoCpmJEjoWsrVLG4lcLSLZuJtsqNIw5I/QwhxatD5CBGWfVjNC9Ev8sfvRyehFeMrBk4Aky0HXFv4+Ls3kxG/B98vKVWyn6J/FMOeq6rH70mfWs8dX86hqomeZH9t9Kj/JlRIyRy1FzBGCiWhuthDtLZxaTPUAHZnGg2iwpbAall+F2YLPcIzk9M1kg3mP0OwKfDik2NAqV8RfkILY3XbtquBoJb2U5WpU1nRML0ofNwA6zxs8x32C40kkokWQtH7wFKxv2nIja5/dT3jsmSb+rsp9Dpm5b7dbgKec3hfRdNLwbMTFq1zUiZtSU+lzUj5vgbdfrHz/t//j98dNh88qnpl6ut7esi7Hie25zbLT6i1fP+rW/z36lG5PxHsPJGZ5snD4o0mK2oYyFFyVvOf1tk4ItntuMJzezgAsyeAqRFEKChmlif1vhsc+6/BcqfPso3r6clXRKAswP/LXJRTZCU5SlO3ikvaLaL3PBK8Fr+oBEdigGT3Pet9PAbVZXtw2g5kXsKfNLgRyYAfi9k/X9iprHVfs1u5Fek72cGzkapioWjL6dXq98jgFewHs44MnQeAAz1uBKGfh8eb3gMe83lIHVrdQbj6lVvtizatuLtjL4OnGcUk9n+AAv9pfD6e0LjpTWk3cjdDDV5l+XOvixyG2FIvUKK5NXVgPG+4Bvp9/hJqdALBrsS0tzV4EzGWHqSQASaZopQ2hcPuWSajpizYs6icCM3HElYJ6b9Mnj/PJILCrhALPB9WApCsWcrjCoZRLCIgCJPPsFlicIkwLelFpWDCLIRgQ0fPzK8JZEx4kmO4fqcRJm2qEJPaUoLDuphPQoFjO8S/wGwxNT5FRG3UiU0tQaZdi+0VrO92EmBmk92Pwgnz+a0vAxaJxV41M0I3Qv557Fj15OL8JLBpYMLBl47gwsp9ZHj89DR+Chxntl/v142ius9yj8DofCXLb9e0z78/g8MIsD1Z4n7jt4UpyjYsE7OA0TT+bOPEGXBlkiN/wf/PPEtqBOnwGMcclUGGeYj4C2DU3p2d7obk+e8Ct0Uh1ddywWqixWDqGJKFSCbRUhW8gRluPo/eOAKUjkuVuuBuCNigBxjMN2bqNGg0yVjAjqd9mdw6j+/vCJT/582WPtr1R/r1cXc87sk9OqoWfcZXBa/d1utvreXy6By8zOArAM/vSku/iRxO9eyouSFepna+QJdV+8YnWzORxQRfPTA+VarLZ8QzEN/13OWHaJF0fLm5RRUZLnaWNtteZDd7VIpKCMOYgamdSPIVaTIQCPIzn2XHazQo5X34XYzJ26TAeFEAKjHpbZd9a0uAKVxiPWGw+eelL9vJkTCuKZliqIAxkuSSEvLj5vQ/sNajmyaYqix1Vqa9oaLBlebCtHU75wWLRb40cJpxMe/Yx3A+/fjlf8cIElYBaC8UhovPn2zLXAWOaqLppn0VjFBqN2s20RyrBRkOYTqM+n4/GIdcCXywl2IWc2I3A2MwiJhPCb1RPZTCeniSsbDtcVH0+9fjmufzpu1z8c/331+tl5WoOB63QDUejFRXwyKWfByZCaRhr12IzkFEHAIiFS1YA9DVrkVA+fPB/pa3ulAQJG0TUVMZI3e+ZkqO4KHsjGCW8IFhfVnOLF7ciCWtaAHIqZI+qG+cJqefkaoRD4jDbI6EZmow2KeHRpBi10kzKv46S71GjgicX4HJUT1CEPSkvrwRnIDdKDXXqA+SULD0j6YnLJwJKBJQNPlgH/NaqnXx/vGjI0Ez0TN5n4Q0fgocZ7pXAGT594ptRcqxF6JW9a4RmGYloH62jmsu3rEoMpDxiZB5hM0jMwi6Vqjw4Psd7LhZqd0hxVbi8lw/OITrHffZyrZaePcl12NFxpkImcWa3u6/71oCQWeugNEoUxc36Q/qI0VQZyI7Hzp4JwG7M6Pdi3P+8L7xZLJ+ixa2VdkXcyXiKq/lJU1O0DsgAEJBtkGltbWmVQonFMVfYkZhlOKgAmavWOAGWRSMT6y+9fdv/j50+oAaMmcUaZ4p7V36xf9RimpDBxWHLKYlBH9TdndaDDA9VyHsxK42JcVGQ3uwP+Ox5fjt9+/8333x0On/D+0jVWALsznz8BRnHJhERV6/T6ekbZ6POX05fPn3/7G4peb6wKc2kvKgf+IGMYtxUe/oxFxXwEN9gsxtVqF96it9knAUGJtoduXhUNRBwF3YLoDLIQFR/+bRoZnjdtvBpBGZ5cc66ZY5AYBwqpYBIfSEnfa7Q2zCK1pd0HxpTVQtprpjVwOCdZMcQkxEOY1/sNpjSeCY0FwSgDX3cHvBmYZeArHgEAS/hz9mpJjOLNuWTsRh7R8fuI0+qwP25Qhd4d3q5fsGS+NpkaEWjCmLY3s2HfzFGZVj6ixovfYQUpO356+fFli2dC/7+/vn4+S9U1WLEWFAJg0jEJ2XMMmFGf3sAlSzESdY4bi692geWFV+u5WtiFjsqLIHxATy/Owhd8wSUMmXJaEV9VL8p7QiVd5qw7eq1WKyZoRKDxQYI/HUrbhwcErvl2QKpgVsWYOkQGUQRakMn0BrTtwqRsshleIPLBCZoNPYXGQEFKEhm6rS1FcyKxb2x/5C2fujtE/DDDd4htfhMzTstlYOYfvsXCkoElA19XBmY8ZX9diWyOdsil66HD8lDjzXn8+JwhM+W+WQlT41G+Bg/uG/nE1mYM4wEjM6vJglQViEw8fveGmzXDUTDD7Uw/BtMjRoEOaqbZeT7/GoOiq+YugrBmo/xTMd6dw0+Vvbs7g3cAc5Obl9oMnzKUPIr4F23RnU7HEaHQNnneFQ7IRq3CCTJumQcLfr0kSNQK97yDLx6NataxPWnRJuQGHsU8C/eP8Z/rYic+eS6rv9+9bP/0yyfUgFn9RSnkhrW/kaWP2ETUUgJya3+xMO+dnZImGJTMGHOF725/eHn55rsfv//5D9ihGsyimGyokPGRudUtohgkFjhi+/b7nzDd8HOC05fff//1199//cvr6yv6ePLtGyo7skEDj5VG/RfHA5cRgwNz1flnhRzDr7rQ0A+eWQhZwQxqhQQgegXtcOhnoWIiNNQBRFPBi8WsHZx1lBoB9BytmdzKcVa4Y3bwP5wMfnpLgRRpZJoKYAzEblErUheMtycIaU9BczQzx73xdV+3x1rd7Xa5frn8jgmHHzZgpmPivexebsfj+XR+ff2CxeuoU4rvMXLUNiMRSZsFjBvLmVjk/nr6Aus4QLAImBPebY0IMb9ZqJljBnyGPCHbwJUKj2HHsmmcDY6fdj+8rK+3/f/zl9P5mlzQgi5SLVNd9vIReFGLBdyomzZNDXtrUpwK7OMQksW9qkQqy6IqiZ5e4CjOMwef0YG2L9yCG+MIBsR0T44DiN3jZFF48UGEwocqSV+sexkxFXFFRG2lVNhy8M4TxTGiCjtWsKstJ4pOLMAUkc/QBQZ7Ft1jGdWvfAa4CiPfDXjqZF7q3VJdeB8ytnc7KM/g+DIjnmEUFh+WDCwZWDKwZGDmDISveTMbaoRfLriNqfGMryhHX1GofnjnbEQH+NSpnRpvzjQs2EUZ4E2FD7YVBBQdIx8seIRTEP80Qcvdt2mgFpTODGDO3m1kO515jIArAAfjdhzzlnB819Tocpc04ri7pnJHFbPXbq3iXirv2/Ies2xu76WVofJ259UL07QQIwoARDpGq0Brt/pJyxFOlR36VYuBI5lALN++bP/tl2+/PW6x+PJyOWMRpoTlYovk79+cyQcO4E4eZ4zqC9Y6f5XV33g0OfNxaOyOL9/9+OOP//DH4zffYnE0pjUzZVWRykmlaWxUzI4l9rDS8tO3P3xCNfiP/3I5f/7t11//9t//9fr3v7+9XYC943LjHUrAfPgzV2HKIjbvnVnvLmN4lXD+G/2lxVsHeFPAkV3fhJ5moEBJE+ZVpVFKg3BOVMGaOZGxECFdLVKJtF1T1ZJYQRoFlhpphTKm7VPVTA+CWGn+5e+f15vX/fGw3+/xJID9YY9VwSf8/oWrgS8rPBQaEcQxteFXeUk/6cD0DauAsQqZj6LmImCehNwlJOOskAQhhYlFmzleqkDEy7KB4/56/fLlM5bgHj99i3XA1x/2//G385fLW/7bnCZKEpaYihNol6xEILKayqoXvARLGVOnE0XwVG984DkBfBgBrm9uIxHFT0xonLS0AkxKOg3J8Ug6vAZAfXmPsAHy+qrCJmIcwUVHA4nOkU5ArQZbSg5eBRxxUMWJJ74LV2kSE8eCYao1ctGxTSWsl/hLFbKJ6gVco+5zVaJHX3yomegBsIhaBpYsSiaWNNiEWPZLBioZmOrgCNeTioGlu2RgycByeETfOB8yHaY60T3E+TsZ/YpyFEINh2Zo3SnfH9NMSO008Y3De8pB/dqdwt2LaebG86B0B/SAQb+jya74+7rCe3W8TaX75xnnxZM7ZgCTqu+8GehdiyUWgN0JKzPJjRT22rJ+coOVSCwBi5Nyg9bE3N7vnAhvP0e3peWAAItEstzGFUrY8EGSJztuRItYUZNOOdm2XWwxltMRYnkPq37/1y+fvjtu4cv5yupvLPcR26xp4gWgm90ON/dRe/m6q786AddY8vv9Tz9//4efj5++QVUKT2PG0GOGufkp88BNOCug6BzyM0SqHezV56VN1c3+sN7tv98dPn373Q9/+8t//fUv/3X5/HmN+vBmI1UweQYvpAkdwcdOeHsNDVNzVZ4GqQIySydDtj56ORM1Wo3gvWriFF5/naduvJrAvLVMo1GnkZGAxFLiRUwwyRxNeREnappe957nOjxz/AuXurIIvD/gudDHw+awP5zwxHL8sQzcfj5Uw8mUT3xJOs4lrqLHmvjTK1YAYx0wnreM3z1kDhuLMofho8s44HnxMRSIRS3C8o814Fc0Xj598+M3u/P17c+/r86SE8SsthM8ocqpIGaibSkKakZxltzpRqlyvVWECIdnBnRJgZgWa4XmocAiWdZZB7/ADoCC56wkDMoLMyiiJVYSinWIIQAk8KLij3xPFU6CmrDEHF0OIhFKoCsfn9hiD4XCj8CCGxCxy34sLNrClVb1w4nWhq4q5/uaft+tNxRRXatzF0o+A7Uhy4ul1EFJHqSU2l16SwaWDLzbDCxngHc7dIvj82fgiQ+PQd8S0i+P8+dvsfB8GRg4cZ4tkHBohtaz+TiRP4NGbJDSRA5/VJinnGltTk0/CaZHfOxk6Y6nLb+P9X0K613xd0bfBTCFkwvGkoHeGUABmJMX8zOew9KOCcR1deLIBG+iuo1M9GQNjT5MkTz8JTPfSYkObwSrkoioOP2wm7LxnWJqmH1K6pbYN2KyD7IJudKhRZFMxKUyRgqY3x13//LTyw8vO/iMVW+ohlQgPlwXQa+x3A8v4EQKEPDXVf1NJgImMZ6rut4fj9/99AdUf1H63R0OWI3LGWITwTS0uEE6Fkxj4e71+no9Y/0uymMigifq4jnOeJ0yFg7v9/j4/9l70+ZKsvNMDMDdsVWhlq7url7Y3WSLLVGUOKREjdaRZkYhRYw8ctgRDtvhLcKO8B/yF3+Rw/7iL56YCHlGY1tbkJImJFFcJG5Nis1u9lobqoDCcheg4Od53rPmcnGBAqoAVGYVbp7zLs/7nveczHMyT57M0LA9AkGRRovEVFu7vYJvCy+urG49WB9tbz/CunMshOTHf71hvyd8gJjaHJ1GQJgqPI1pCLMZTXGCZfOkBiAULFVVOufkuSBcQzb+VGawUZQq5oOtKYlcx3KBhgQq0p/YqlCCqGeWCGBU0Uw+4SRJj6V9TfS9PtScfzzpPeKLmCd7k04b/9A4sSq4d9DG94Ene6OxFqZjVXq5GRZtu3yRnPnlHNg/mIxHmHLW6vfW3t4CDqXMgkBmQKoAJ+n4mhkgjlm8MXs0HOGD6b2l/pWlLhy/v70/3sOBX2EDpKmBN3CIVOiSl3FChpCJArMgaMfeFn2r1vuKrB+wcJ7h1D2PSeS8sIMhBUwhmBbE/eGbJI0XvHJqjmoARI6ny8BSXZrtQLOEcWhem3cF7nLcYBuevonPHRgK/SvaN3HwvQgSgGeluUXTQnQZD+5szLqj9qyyVXK506HcEH0s2CpTzywtjerMQTiW0szoT0GwaU9PIeiNySYCTycC7OdmPOTVP+Yd0dPxubH6FCJw4Tq6pxDD2Uwe6RA7kvBs9p+c1HltUzOeMHV59OSi2VhqIpBG4LhH13H1UtvnK/1kSzzr2eN8xXCat082vtM8OXO8JjRnrkpOyaEnOlI7mXNMu+xzAHaJkGfU0Jg9OdItpXaOm8Jeyt0f9uK84+p1KROAXMrDyYJHkZx+PDtQzFI1z4SkUtILACGByT2mnaQ/XGNJu62Fy4udK0sdlJ7vPMUqtAs+7mMo8N1fe7kxXzf8TMx5hwZRTHS63cHKKmZ/sR632x/gW7+4pRKmYNVu+AzBZIS1kLsTLJMcDvfGo709zPsePMKyRcz++kkTvECaU+vcFjCFxjW9Hcwm40vCA8ymYbE1wF1DpBeYeF4As93twYfdrYd4I/Rk+yGWYxuTv4k0s1M317aDM1OFpzEJ5A+UaXIZL5hlQueCGt9rkKWVmq2Ry4xmGUPISOUMUYvIxXxZq5Li1fK9zzkrNUGoAgyaCbOKBnZOznOJdm0y0fBJOcoP8WIqGM827O212xO0YUwF9/CgyEIL58Z9fB94HwJYoW5V7HW9HZcvkj0721MIBxrfO49FwD18CRiLgLkgOJ76wc5Uypkafg25rF9FicrWpBEYJXCwYw54uNCe7/V6V5c6eFLjwTZCBYyokgFSMyMo71sE5ygdticlwlW6utdrsoHNhDJ6IbROGHEG1cmacHSFls1rno1M3UyDbMLStGTilEvq6HZwTsbtqM+RgaFzTyAxnURAo1SkeQ1ToJBQ2BbIsh1Pw8oGkJpExPV4BFGpwSpsxBS7QE+8M471CSxfvoESuoucMz2HwCuS06UabhOBJgJNBC5mBIrn0qdeytr5VHQRab/nHK3sOLJCVANWo2WK0zOhi+PTq7xe8T1dpRq7Gna3QQtSabpSaTqxulzTdWbhHiUyj1mEzB0fwJPEzAzMkJl5gDMDVkkEBbNtlpLWeTKLrreT7SsBZ0Sr1M3QTyIzozM1ptJmQ39xRIaAF1RoyImnWpAqZAt6M2VPNlaHxaSuiNHVOn8OQ44Is6fqbAHhmObqy1dp65hWZi+hl4Sh0lZFKwk1hCcdgceolvrWN70Qx9WbjnqWuU+6xI9RqWc5jLW+Pen4wpGzFWJ/K3K2+0+1cWwYTQSeZATcN4DDLcvicZzl3RFHWqQrpRvV7l4lCCYYxZmKGhrd4urQb+BkTEeXgGc4bK/iFTw70EMiOhNIlYlELnoURoNzc732wtXlzrWVDu6EY3ID87840uvNVto4X0RGBJ+bxdwkbhxo9pfTvzOU4axE5cT8OJjDbG170F+9fHX16tX+4rKt+s3v5R/gW6h7o93h7g4+1jse7uLbqJikmoyG7iXh2XQAXGMrs6YNDjZMtGONL2Z58Zbbbn9psLzYwUdPW3i5tJWDHQvaHj42DLGFVgfWdx5uYnkx2Ucpqu+hZqjJ6SLVkyEFnehZFDcP0L4is6CVHIKBk9LSdBAoJmqEjFzDFIbjcRc8nCZfNJyCOJ7U+YO/0tAgGCkBlayWCAZZUszJVVpVKkWa9GqU5TQ/xovnQtDy8XxDZ7+FxcD4LHC7vY/WjFPkGKuB+W1gTWA5cAdXg5p7kAlhBhXPVGjNMT4E3NnnIvhMINcNuRqZGnJQm5qIykz5XGjhaOB4T/VwdzSYmx/0umuLHazV39jlmv0CbKh6HA3pgam7Boks5HD/NppKWEgaShFbMpmOOrlEzDOdPnd+ijLctqCM+KYczkbyxRTNgwQXDmWloScIjpfWPCo7fgdJtjZniyUlWkD0iokYknXxIAolxWcm4Ji+8UE0WDpBb9NV0R7CFOp+HYRgKpwBpgpYp35cuooTf44L0+gdJQLWVo6i0cg2EWgicGIR0AnvxNCOD5R0DXwJRbwGZG/gOy515YnkNHOJWAJ4XLRgKYFld8ieKEw1TYklO0uqYudSSSKAz5JIHEjKNYvmdBm6NWucMx9C8afjT+EG06pf5LAlJqZonhgrmkPLe/wS1flVKmm061UipeDJDLoeI9tXA86GVq2bwVt1ZaQjZ2ZzphI28TAOqPntFWxTXNPxqOamY1IDSojTkal6lT4YMSoWKm6KzhRWKSaQjSamKHpWFC74U0KOkl73qPuIULAFoJM2V23rpK0cNQLPgjxi3GxPMwJNBbjoN4E4fjM8X7HD2V793vHLe/E1Y4948ct6oiU8/cDZN4DhNNux2rIVQMkk74tVQfKKYOG/XUh6Mbf3k1ke27NxqPukM1Bx57R4T9y74lULCHTHmw2itQnak3h+1hHx4KDbXriy3H3+Un+p1xpx7S9nf2uxTptRLuhjWyxBMh6Ye+TKVM7+PsJ8xmyzv1WulNCrhMq0Y6qVgR6LcnCA6ab+8tIKXvu8dr036GPaCVuCeYCJrtFwFwtzd7e2drc2xvgIqFo6G9QCPg7snq5IVFzSNVCBoVFNtic7W1tQ6g0GiysreOPzYHHRFv7izbfQgSCA250uvj2MCkIj3Hn4EG+XnnGmwTVamiNS2Z8ZKXzBe2GbCubEzTwk2bjqthJySrC0V045CVwNGRL1HK/uJKJgSCHh7Xrhun3QkYBy/BECLjuxGVKQCwkp2E+JlhDCmTChJappOWskUunK9OHnN4+MysThgEMAp4jOpLPf7eKkgTngPtcFt1qjMd4bgCXBXK2uYuOW6WyB9Aa8f1g+jw9f49mbbhsvTe/sdzo40MI53kthD8VCgBOmJQ07CJb4Uwm5YzUgCOD+eDJcmOvNLyx32wfLeBf0eHMHh4Ip5CDB4yQ0kkB7cSTsNIVaVIyuSiJmQyqnI/rJ4WvOQDSBNUuawTU2q9gLBAXoZMAe1wN5JV8AJ+zALUcw6fEn+BsSEMLGQ4ZMtyOF5MImqJRFQpSJyqK5bJShtzqrm47xLR1BkEocjcoOMgYpWEbYfPkdDMrrFLE7gU0djcc5GUiPdlH3FdV6UYvalKuJQBOBE46A9QGuJ8DObUzY+d7O+exlA9MLVe6rAI+PRhPQ1iCRHYL1NxyzL4DOnPzkLt/UU/ERbo0PbJDJMtC9UBYh53q1uapy1QrPzDhaZLwPrvgzW6kUZOFdXOgF4zhjFVfCHY94oiWqcyErqWXKJa3xZCbdSsNVgLOiVelmRgB0zE2HjHTpDKoc1+LxGD8U1JT88chDkK6o6dghpyyNREPIoEBsXaRBg/aMkJsGLdOC9GFb9IQHhVAPU5nGNw9cTKxYR3Op1p8MmZmjlrTsdq0tiNaZO67VzFYYp9dZKfvaUI4bAcT46Ntxq/noli6+xrEq4KmH5RRawPkMxFOvCTlw1mPH5nICXdLMwUY8TqGFzmz+6IJnvQKPXqJajXNXN8WStNG0bCjoao07/+eEWUhU+X+/AABAAElEQVRxOWz1tzGdGHdOHBwTo5rTITr/SLJfDX19g3ao4noBylHbiBpMeb7fU80gPSXZ+4FtrYCTFQh+uHfGAgowDg7wLl68+Rmf/l3qtvApR0z/hrvhQfBiJRh4zv5iMd9CC29x5Vds+fHaZ27DqL3T7S1fWrt8/Tm8/BnvYc4WHfK9zvuTye7OxubG/Xu7m5uYQoAKvuxrrXvWeLkmSlVrhZhPxozywtyd7uLS6uUrK2tr+N4w3guNY4xN9NEB1mXjI8Sy8vEO7D7C28gdStmoWjV+7GJSiXrhsnpGOWKH58TtjHB4UORpsJfmLK0SoJwpJ4jXkiFRo5DoOqEKQZBgsja6OUaw5IH83l22ZzAIiKqcM0/8b1aChkf2BL8nPU17Odt7jt/n3MNzM53cCuCsWZ4q8SAE3nyO10F3B3wbNDYs2MXiYCyIxyJhFBMrhrMIVLtTQHdCUMTJdzwa4dPZHUwCd7t4FUNpBGa61QgOCMwZnCi5VsQ89FDAK7D3xpP5uWF/MFjutvYGnfHewQjrlgld4YGOD2/Fukvc+HENRxpkQtHLBBcjLUlJ04k4MhSRwn9sDoTV5oksEZlwRFx2f3BW8vhhy9BO+hKjoAOinsAc1+90SrNqorJMUEXLfKFtt0kiiNMLsso7s6l1cyWjQLQgmMKClW5OMh1YRDA5SFYK4LRRIK+rEEdcxa2oUZAxEOooMJp0Tt16vHRi3OL+eHCNdhOBJgJNBE47AvEUetqWTgafszHswfhrG068lg70lOulavcO0HUKXgwdkLpX9+vJ0/Zmnn0y+mL+A4FXFbwuQQ6buVmFIVvs5tmPmTyTwlECSgShjSr9Ao2DAfohWNcbORMFyaNkLeazRib6wGKr6PTpWJsVgTNxHLMoBgysYTFkM0fmWOa9kjMuFx6zRB6yuPcl9QU1WybFglvhc66P7TTdop1ivlw0ZxOhtZCnnuTamYB3Jhc5dk5wPI6IoMNI9V/vTLQEFXfE8QkMNhdkcSjyOGSbAdELEDsqguyaFgfK8wf82pQOZFKtsE7emXDSKUJN2qwDRAWSTW+rRqOe7GMSDgoWSyWCP/Tbp+shfHEK/njkw6t+GnSRV1v2enPgzB7b1F60xYf3k7o9WhNKIU8mfbzinIzts4uSVNDZdbLx7BQjcNFawHk9zs+Y33KHPxetfZzioXTuoFG3Z6zZnWoIS8VtrSwugqjhmyyzsXNQZAOj0Pg92ejMaePQNCSkhhyJXh4pSwY5irtMTIEQBDJm7hh15WskB0UDkw/BK8lX/ciG89JbhhyaQnB4bqnXvrk2WOq2sQSWq38PMNnmtugiCXnOy5z8fpqdabwpniRqjAZe+owXuWIdH4qKN7ziLa9HuUJIwMxkiTDFk4R1TLWA8Fj683w2tre4ePX5F6688GJvaTk/P/CLpOPR7ub99fVPPt64ewef+2Vrx3OwannBh0MSlS6CiJYrHEx4YWExvyc6h7c+d7AOmNUjLaQ7vR6m2PBh1L3J2NpswRxrzUzEk1ulyYJeVTZpARUQOcnM8pPHLAVDgl0uUjAR/SswXLlwETZNf6p6EbGQBy7VixCWL/ld70UCgCT+5xeOVYrz+Pgz3mYM63iOAMtkFS25l4AV3BVwFVgoQb1uASpmiZdUcGSUUjXgVla12TmcMPbxpAweSsAhhEOihbnaHlYFw4K78VFCLYe/UsTe0msrjGFLr5/WK9ApXeNZCuRFdHCJ4QPp96l0SHs1EKycCYFCdcoQ5tsCHsFVvBu718UHkud3JpgFhz50qJao8vSBW0MZJZMgm+aoJA+UU8boEU55nCsSCj2HPk07GGGZF06f9uNtLZ0Cdf/F1KjpzFML/+UsaXSHikb2VskR3ZPJJ9MYLDDzoMhVJsQClYDkam87spjlJj33Q3LKEtmLEBCEYMjU3a8FwskLU2nKywj4nuk1RHcZv/NOm62CBoQq6IZPXtFCcNWja28QGcllygCB4RI+ZlXaDa2JQBOBJgJNBA6LAM7YdiLF3Xud0jW0xfyG6yyivs3TWN5686AbhaQ1C6DQnN4UtBSZXbj1QjSMroOPkXlSKliXZm/DjbosttklQaU1tyVR/WPa5EmdHWBVoKqVZ6aWIsNCB9+KPkRfZjZQJ6ipdJZJU1a06EMUrNepHpvuimaDMxRUIZVlxvi0NjdmFLzGgGbIiky7Uzyp0nWlyN2dqWhVaBHmDISlsmghXIqVWqfJqTiMXyxDfYpDPF0XIO5Q1NEdWpolQrYehRxnzvuAdhuS0xUP5x79oDDT5sOJNKTpTs5adosw6sop6JQyY3y9B17V1zgij1MEog0cD8Vq9FmjuYB4kGb/ZCPgK+bJWm2snakINI3gTFXHWXAmnsxjqsIvMROJJFkh7UheyO+D5OEEE03kkmSAQSIh+6Tfp2J16SjLVMyV5at4CS0mY6oMUmODA95jbIcp1fBryMGBCv5spNpSlE47vJaZdTuKbIaZKrZLBsUtUl1FiIwfN3DRSAZZqYimq2Ma0xDTNRxvL7lyCxiUJQJ3+iFBG3MWOKWM6H7LlAQik6zKOOQiCAqAYoLKIeCg23rl6mC518YSWCxiw1RoFRJoRZQasVMln4wPQMF7i/H2Z7xZGEtcscaV1/3P2IaJ3O7i4pUbz6+sXcMrl/kCW1/FuO7HhOvW+vqD9dvD7W1OdKG5+MZ9knFCTfDGycF4Z3tj7jYqgkuB+4O5uRZ8AR0zYViXfHlvghm30fYWSOajqy6rtsepu2NXvL5thJDM0CKr/EtpggAB/6vQUtE89vWcVM48jZTZtKI8U4mOT4bLx1yyOgclr5emonDkVgTBM/0+qs2QYvuacasVLDJQ71j8Op6M9yYTvEWg0+/jjc04iJDE66BHo9FkNIZNHEeyXFSvcEci/DmYx7MoQMYi+2632+l1J3z0YVaECuRppCLs7P5GVByncHg0xqGAd7mvDlqT/YNbDyd4owLQdXwEK0yIyHYuW7xHoAo3Gfu1g4Ai0UptKooZcmw+kQNzEYrtlqJwDfWDnJPT+U2NhQSv7PeUsg2KaXXQf8ARRyMBZeUKOTynUoGqJuhQws5xJRGIPgEq38WHfzTqgYRehVdtQf7xTgzZ2AdTyLMo3B1tU1kDjNMFsGJZAYUQ+EOhgnuSJJXSClT07yTNNFhNBJoINBG4UBFQXxzO0zyd85+6jbyc6odCP8Jr3bRDjLKzAc6KFnEtpR4367vYl7ELEjEUpKinPB1ml+g3KbFICc3z8j3AIUN1T3e6CcVzJJeNFiKnmCIcvE+36sjQAZmf2QcI1pdLNnO79IEUN+KI1WsWCXcKGysvVJqqkk2wMqqwzhDUF2q6e1mRXekcnAKBH8ELZZonBV3WV2VwZitaHdpRwnJikalzphhZtRMRGVXWl2qMBxKHvfjTuNqphfp1eb/jU6S+NvWmZaH4cAoUlMrYegi2WAjgvxdHwmiREoRjQjVWi5w1FeEc5aCYrd7hy6zRjm7nqSOWnQ3VogMYV/YQrBy5nKuwZQ1fCFHeugVa0sZmUH10RJUmdboRCEfG6Zpp0M9yBJpGcJZr59R9q+uCj2DYeoAjKDSiTQSefqMpfKZUQ7s4WnSnRUdlfRmFvxie6WrYD2VtdOskJMaRnuVN3hFdtYsWxqaJCfDDkNnJpjtvL6Up7SFkpsSNhCJfYzH8YKjG0RjwF7utV68NVgcdZKfO/kbQc55iUNtYsoe3DWPlGqZrns3Z33k3+7t65Vqr3Ul7BUz3jnd379+59fD+OpbehiuEk6x3NkR3YYA9VlFiNnofU8737462Hl6+8cLiyiqqSEKYA273F5cWl1fwblx8RJgXEWjXj38tcVyEo+j5MobYHU4IokmIUpqlSzhVIiWhEqGslVBK0p7g94lsdTIRRAuzwCU0UyoRAlbCSZKBfWgi3FM4RHIauOOlZ9JUHDcu8NTM/v72Pl4G3evhUMLboXFu2ev2JqPheIL36fN1yP6EXeVIyUtMAeOpFJyaYAjfAgYgPj9cpRmPoWruNGpaCModpVUXcXGfGK8LGOFrxQsLeHrjyjJe5D536+F4r/woURJHHsRmGNFRf8Qc/hwjSyETN4LY3QSIo3PmP8cFEvtqlkdJkMUixeFSO1BNkncp1CGK7sGcvMTllCGAjD4krTXWLqyEO+FRMdS7iZvTAqR3HkR7KGGjH/ajrCj4EZN+RWjP594VtYbJ0nlFAckAKtwyrPrgZ0AVVgBUTJ14ECknLPRl+hmhHF6AM+Jo40YTgSYCTQSebASsd9IXM3kit6te30mkrlhv4H7Vu7juJfQXJj0b4IxoxA74OpN7J9GdWWfPPhh/3NzOMvmvdP3sLwelUOZTVqbKV5lqs544WPRk7DlWoQGpyZI5AJboiaiiV+5cU4natDlEZZUui7OoRR/oV1W5Zd9KXWssZ2BQq2KS6iZlMcRgiUXRb5UlMY77Q+8ZUpWCrS8ZlpTLdfRCVfrFx57N1gLeQAzrrligUV4+ZJ6kKOah8xO+Uxdq2NlvkJ1WtCBUg0Y8Bn+2sNADei7vA/SRE3lYDiwsNUXzpbVYwVsXEG8UWW1u58lhL1ethKTpQXTsUV5WDdu+F7VEHQ5LTtOUZl1iK3hiFHHiz8zh4kEBWMiznWqTb5YOvgX3QOHpwEqmm23BH6funeCR7hs8VBBtAxGCF5q6pz5QvBPc+7IXbIkjeJaFLtI0d/qbasWYM9p6/ELN4Esj0kSgiUATgSYCpQjY8FEn9xKvITQRmBoBGxhMFTm7zDrnCxPAKoAbHdlOwyINIJNBp42SwjiUoz9cG/vSMxFzNvhMwci2PwMPwgUh4RlNSenk+Uj3qUP2Xt3vJc7xHp1QIRa7C1j7i9lfXPVixRa2QyDPPZtjXb35GW+AnleJ8dnOc1+qoxYAZefa3+s3sPYXU1apOhb+PnywvnHnznB322ZbGbJjb2VVRlsRD2HHRT+2Fu+8jId45/QIc1/XDl5aXMUcMI9ZTA73BkuXrl3DZ1Z3Nje4ntV07bds4lBvj1vlQQ+WYVaWy+ZDwXI/SuRACAlhhVyubrmpzKBQug1Vf3FXdp8oJTMilKjBYDmRyLL94H9C8eIVJM+K8lOFonieqohALuBy08AreI6Uc2ALc7WaB37Ubk3aPSwG7mHWlp8HnmAWeIiX6tupNQbbI/h97hxngB9NJhM8A4FvDWMRML6zGwNistWaOU51LtNkJiNU6xxKxSufF/Ah5N1dSPb6/UuLbRT7wQ7KkaJXNwOBx9jAIXRR+OMtjJqWk6gAn7eJbA5YGXNWgMFgdteC8CaEX6oEO2yrru0g6e+oeNnUx6Jj5m7FHLA3oDAbvjt1GMf9midmKXjtDWsvh2iAgZHX6XHldfy+qEqNoCQhF2AJ8swGYr45KappU33kIucu58ty7hxvHG4i0ESgicCpRYA9AM/47sa95hM0q1BpET2Q70VD3ytalD4C4Axo6oXYTVmnR0/xDid3l4v6dmZH93ip337u8uD6cv/acvfaan9tsYPOf2NnfPfh6O7W8N7W+M7m8MEOPuBBDXZ6RAECMFhe9q/W5XH4Yai0qk1douZZlOI0KenqPguipvA4v2ZM4HN40BDemTEalbGCD/T3pDYi0Qbs4ps8Fndhg2i2NXw4IXNApEFCsiJVD1YbsnVCViphNJyCLc1584UtcsWVkgNDjGAlUx1bzR/bfLkdPogOh67BVl3RTMC1Xy8d0YAAg669C4/H2yHOeJgT2KdhwRU3svzHcoWiWUAs64LD6mOSf6Folxe7b1xfvn6pf2nQRXpl0G7NLzwcjTd3Jpu7e/e2h//4ycO7WyO8Mcj8FoJaAtsDoGjUtX1KBAdM3CmRLuNi++cXDAu8pAWnakdLKwRQURU734IFQiHjvZMMFWBZTVqJIF3yR83MGpIVA0o60RzuokLE9uLOgXTEnJFuddnh5zzWXctltfDD7VBiJls6fikdCoUmxE978eCesVBUb7YmAk0Emgg0EWgi0ESgicBjRiCdANZAjKOkbEtGmY6uUTfHLPpnl7oa5BlFQz4P4eC486NADcRCPsCbJIWUcooeh2SSwrPIKSNJT006zHy0xUGfu0yZm+u2FtaWMCLvQBRL2PgR3Oi3wy57NtXoWWcirPjqLzbUBGZ/sfqXbx468nZWonI8P3A9gG+yrl65unLlervb5XUJN845jXYfbt67t/FgfW93V3cc0FiOZ6QqprQjW86gZA7wMWbM/rYwBYxJNKzIRlOEF/dbn4C8uLICHsQxPdxfXIbPmJ8e7ezwOgmOHdm1cgOv8tMdlZFl/sL34HiNZScYNZEq0PILIDAB5dEKoglMPScRYlKCiXSSLEjWZHMFn/N74ntvawBIDuImQw3ULTZpkxskjGRy2W+UzciHZWY+noMH1YhFtssXyVRm8XBrBsXb28NU8B6+oj7eb3WxHriHuVu07Qm+fjwa72NRL5+wYScCjSokohkHxcAi4IO9R/O9OSwoHrVaODKM7UVibuZUtFmVmhmmIGhYvEuEjmRvPBzhWO73u9eW8F6ByeYQ4fC9kLtBATlnP6ZQYBzRSe0xRugBJYifIGlpuhBIEkrngIODFOEZzJkTHVne5sMuQuhcAi/t6KS7umvj1DyA3wsmKrssCXJOyM4kCcwbjYlQyNQnCShK0UZMQZs3TgxdrgkkBwhe1CSK0tERU4A53jWr0b7w5Ge24Be+ZpsCNhFoInB4BKyfVDfM0Rr7goO51cXub71140uvXQ36H97f+dPv3vr+xxvWIbE7wgOZWDYMzSCkRCXgL3/mud/66Rv9Dt/ug219e/yn3/3kG++tH4omcYNEkiMJOok+01tttxYwz/TP3rrx1s3LA48vreIPpiU+3tj92jt3v/bu+u3NIdDYweoRMowWOBKhBdrSlvWcjA847Iy5Y5dJH+Z/9c3rv/XTz/faVRftDudou3tboz/5zq1vvb9OO3JRRlUvzCOnKJh9+fBf/dNPffaF1RYmWo64jSaP1ndGdzdHiMbtreH7d7c3h/ZRJBZWr+elOa0NV8E1HKETJ7SphBz9aaSDqgWB1Xt1qfdf/NKrN9cWT8hOEebtjzf//d9/dPch2wDjmfgBUc1mokWAOn9jtf+f/+LLL16Onnzvo43/8A8fmy4jgYtStQlVDIFsSyBpguNR1N3B3H/55U999uZKe8E1mA/v7/6bv/vJJw/wAKWaNEQVBIJQzZxzzlxd6j6xsFiVwGGVkW74stneeys+ZCgpj1cH3c+9dOlLn7r66RsrvUOOx7n317e++d79v3vvHp7S0EwwzDgsAdsjCIQmHZZDcBgahZyO2sFLAXMYv6d0UPhywpI8wFmADiNN52xnbrg8GxMj9p/8/Es/9+rlXtudAIeT/f/9L9557962mCwel0C7hmQ74U/7gTkekCw/LShWDMXBr+QnW8P4P/7qx//4ySbvfMEjuEptCoOLjB3jddbMSiiXBZw+z839z7/55otr/aB+e3P0B1/9ISb4CQW/cHTYNLMsmaN1Vhp6E4EmAk0Emgg0EWgicHYj4EY2Z9fBgmdhAlgDlgJTo5QiTUNNDPXcwMpGdhLS5UIqzjEQtmpo43gRCfoxojL5jzCccMbxAFW8KkGORbPNysNidNrzl5e6z630YAyfwMWsGz4AnMlerIwiga9qzmM+BrXJtb8oND5ty3p47K0Y5xkBj6k2I3qN2AFeUovXKS9fWsPslI37IYl4DHcePrhzZ/PeHS49xEC+vinXINeTXZB1sQGpUG5d4HBCXrO8eFmuZsjm0Bi3Nx7gXbJY/dgd4JKbCpDCmuCtjQdYB3xQfrVsvXFx5IFdFB4iGdnBa5CY9kdPlIgpJxsJSKU0pXnRqrIbJ89lqlkmxckYxYyPb5E+W96ZkYPOeZLwFy5ynftT8BJffRLtCG2JvjH+utAUgIAtHimg1BipPICpSHWailKuZkfqIUI17BpygLXDZR9n0Qle4Ly/sI8p20ctvMG508Vva6GNVbyTPU4DKxTUA6SLtkPJbOCBHMwct/c6eAYCa4pHj/CuAjd5HIweJeHA891RACplU5f9HPBoNESNL3U7e24OGM91SC4vLXKg6tejIIguyR1Z/s9lLWJg2twwg26tHiTooqmlivQ4AaAE2flGmzoz8PhGwirSJMWjuOzYnllZg7kMEDK2Sdg0CAZhk/f8KXvDcPDBqooIFu60+5OQ4eZIpPm/ak7uCU/xwTPGgN5WbImtIA7fdExXiJ9nUk0EznORGt+bCDQRaCJwWAR4arfzP1I8vTPXmp9bHnSurfSD9vZov9vm5YH1miaGSQsohbv/JowehV0KuwkgOcBBt3V1uTfouotxrAj8zqVBGc3BBquuK6QR9GEcaLAnpB5ymF5668XV33zr+defW+noTUJRryqFqxvMKd784iu/8uaNP/vux//xR3e3x/t89TB6Q6Bih1+6zkBoE8tnKAYmHvnjzvmAZ6lPdp4Szwri6UGia3RCS3TAXDIHGFQGlxs4By9cHty4NIhuHiV180qc2twe7n3l7Vt//vYnD7YnhMaffLCRFjL0RCb5i9o4iQ0oXCIIKP2pSHg1FG9TpM3vJExFDFTh8g9u39ti+Vggq3xzg0WEK3CEDDSry0u91JPVwa6OAzd5huXobOlaLOuricrQLRRNmDis2teW+3hqwbxZ6Xfw/9b80NW2i4Ux6ZfC7Jx5kmGBB1Y0Dj9daUizMsIhFFphMiJ+D3AM/vJnrv/25168utLV8QTitA2T4K9eW8b/3/n8i195+/affOej+zu+4QGcB6VtCjDCyWMTFOdDkrIHUazWzKlTPyicZ3AIBuVZKDIIqkbwfAnm5lDnV5f74QkY6CzisREtsrcjCQ+++4bktKwVmaG6X5hQnBQXb+2ffvrai2uLhdPyl1+/9v69bTyjjKpDqwcgXZ/HS7Mf6RxIC3UWIc1S6lSvBJqGzu6PDl6+uogTu5j8Ge8f4KF+Ng8nVywUZOqsBJAm0USgicAsEbCjchbJcy/zDBW1sq4uevlDH1NZ+vNA9N3vefD1WfLRrjk1dESxYy3Z2C3JpzxKaoCkAV4QcmOXkHeAODglx2ESR30pPwk1j2HPKuy9e4m0JT2Yly8JFAllQQzWMIDDAtCFebyN58al3mKvNZ5gSgKfqTxLs79lz4tlO0aes7+cavSzv3jPsBvMHgPs3Kqg3WJKdWXtare/aJeaKAqezXSzv+t39zj76y5KT6CU1lvZRQDgSjXLiwSYm5/T5K9fgz5/ADceYg54MGh1uniTrg6Y+U63N1heHu3ujHexCNhdBR7mpDygA7BdMl+jTB3TMwF/7FWJSy5lpARL2zWSZDzBFFLRFMKnD+N7OThbEs0IUwqeyRFQBP7gz3s+Rd/74HH83tOLl3nGr6oMcUrqAac+QZ3D9Y4r4a5g6817Dg3o9D2Ph2kecRp4b6HTwXsG8MhFG++dx9+khaXAOOOCBY99VKs9wzl5f4IV7+P+YIAJ4MlkjHllb2uWvcHCiMPPd7MgTJUBnC9AlMNdBCxdHk6wpGKwML/cbT9a7Ez2D7b5IWTZp4q1VtywYPsKMDqiQbIvYDm3udOfiVHbgCyP3+iE3baVRPJDEcjYvaOICqI4Tt3SBgYc3hihf/CUvb/nRiAZ8M4p438gCzqUjGA785sUYzMVtJkgIW5GKdCp6RmSL/CpHtEjmEtRukLDlAr2o7LXwB6bz0V+VWo2qSrNM0jzkfH7M+hi41ITgSYCTQQePwK6InAzoez1OLtTtUHOpg4gAwn1rewmk47S1NgN4pOW1vnWAVKPXRMtejSbUQaNdA2qxIMI3zOiHkYqc3NL/c7v/OwLv/HW83ijlRmd/ffaSu8/+4VXX7qy9Ed//+GtzSGRYQbOsNhhHR7M6YVD1k2DTQfSKM1u8IiSDEwpMuYMH9c+LR+W+u3f/bmbv/jG9T/+9od//c69nZGW8YXmoEfFMUzj3A6DcTIbK9pVrAECWrSTga9BQQmwFJJVzS2M2ry0GhoLWe0J2wL/Q1wArKwsIBTQRgQDY7YaMEVz9W7KUkiS1c54gZPYJ2FxxliQWDSkREcTsMcgyDT2G88t/94XXv7MjZUwtz27Q3iS419+7oWffenyH37j/X94/8EI1zsMGycqBcImaGZgF5TCDCIl6RFc4zurT3bzB8W1P/72R3/NR0b26Bo9km9oRfTHThvRstW7+S/fq91S1VuAhZY3JK9eoUuj+CdVeYPTFl2C3TeeW7lxKS7JDT79/CtX/v3ff4BX4DOS9A/CuMqxk57wQIED9RG0ONvlBK+P3NETLLiECnXI0THFShGuyTcRaCJQE4GKU0ONZEM+TxGI9cpzerM1EXiqEUBzPM1WeMrwbgKYEfTHFYYybkSZUFyIbWBlQysNhoxAQel4jQhHCuOjUVTCpoTLYucuXEGMm7jeYCRbKkGqE0lVHFZKYloeYDiGGdClXvv6Su/yoI0RNr9PeaZmf4t+n0AeUcPcN+ZfFhbaGKxq8e+RplJOwIezAIHab3NJ7TJWAOMbpbju5YEwPz8Zbm/cvbOJ2d/xmNOxR9sqzwiuzfLSjSbsuPC/jskmiUl5zADzgkPrf3UVpauS+bndLbwJGi/RHSwsr5hX+Fwxpq7xCui98WhvDxdg0zc55rw7TDZFSvSOouZLZ1Bm151cSPKElG3pql/ndhUrp9kFVqTNrBhVLOUV/Z7nKRR/hghII6gBDelMTace+3AzL5iLll1sUoSySD3luHopYgUGSZ5c4XLU9kKRgjJSA40ZB9Sj8V4bXwTu9Ts49vCv1Rmj+Q6Hbr371PcuQGZvb3Iwh6XwXc0AD7FEfpY+IPElKUeFp4ngjMlDQbgI4hGWO48XRv3F1kp/AQFALzOaJKdc3wh4nyFE2Tng7kmEmDMBocSuseyucu61VkiHoTLkCJYbsDx/8ec20YykO8BspM5etCIhBxZUURm8c5I4B0jkKOBBnGL0RDVIFePgVwkvFxheAISShCeRl2zyG0A1m/y0A9tLuNCacee552nPYkgvo1Znjtg2q0HOOJXRnTUeZ7wojXuHRqD+WDpUtRFoInBuIsC79ehlsA5MG0YwnEaoP8/N4ym3ZDCHPpBdVHkjg9t0wHo074Hw2bupo0KfpGmhfrf1m5+98as/9dwxZn/NLzyA+uU3rmE6899980O+DpqFmMfkEi2wZ+clkoyauDG4BpYXNvjno+T99GKPvQdg+E+f6AYmXeEPnpBTPviAWScQHttiAeDqMt4z/Fqn3fqLH9zGCmkY8NOkGhGYD9RhpAq6x8uyuYVoy8jxcI6kBZuufm1SUaE1BBVsWlx5M8EXnUcDQ1G3paPSiojRjYCGASUfMbBKZUS8EYfPrCfV2XtMOv1RcXhpzmcNsMG6igheaAw8AkySDuFd8b//xZevJy8MOIYbz18e/A+//pl/+3c/+csf3tke4YVJcGVeNwm43JRHgRXeH3rBBCU9T94iiie8YZGrHRRfffs2fKM5GoFl+WYeKCLOEZ6mzAdFzzyvcgpSJljXkEgHcmnzx/4Cr7AlZCFCXaTrjIMeVn187ubaX/7g9gh3/tTSdBJDwJCx2NKKuV1pUX5Cmh2EOVThluwlhYJkhdQUK8Hhc5iwmjyHjjcuNxFoIvD0IlBxinx6zjSWmwhcpAhgAlgDqPKYxcZV1mvHQxApkDDM1NiIozrKcchjHMSGLBciDoMdozjU8aMop53E1CtHGDEj2eAtn1ATiIpkWZCO4z9973cWrq90VwftCT9YiWdfMYC8yJuVnJ/+xewvv6+CLfma5kUuerFsGN33+otLq6tYSuuvdrFeb7L1YP3hg3WsNTzq2l/EttByXR7tjY0ef7hjgSaGQ8P+c8eNFzNzbXzal2/knsPHUfkOcrvh5CSQnd/Z3OgNFtvdXm/Q56XCwVy328V3i/Eib3xulFjywCDzX1R1LS+XTHL+StvaTMIoJJ2L0XzqiaV1OjA1TyiAlLIBtcQpEySbKCTJsnANJdFBEv99wCzpczXaVKjZpOnZOGli0xw/r05TFYl4uZQxQ9quHGcRlExm17RqDTtGLT8YrZTILOEQQEMcjcZ8zT6euej3sA4Y3wbGTPAI1DE+kKslCFXBBBBXEu8/woEJeSwjxuJ8PuB9+GaOOU8sUiBlnh0OUpIARGWJS4Ig4CQ7Hg5xPsEi/mvLeOzm4PYGXA/6cgcO+SMOKnSPdxTkJm5y6ukUwyYJ9FKdO5pwTDL8OprAAl9WvRM05P3x4JaXkpASEeaVRZ0mXhs5kYvKQog/Xob76IhRy0pB2p1I5BnVLAxwwjvvJYMlEgzQihMYPgH3qc/NF1xp+sX7VYxM/Wa+1/OPzqHDR9c6Axo+Tn5/BlxqXGgi0ESgicBRImDjbjuJ2bmYp2MtJauFUV8cOospJ8CZAIWG7oc4vmvypg1AVA4O2P2wi8KLrFoL+PLub7x1Y9BxL5T2KnNbw70ffLLx4ztb61sjrHXDm3avrPQwL4XPkb5weRHPnAZJJDAH/KVPXXuwPcY64OGE1yoANy/UF9pP3kMxR8EwJskQU/THSAPTCk8MWtMAigMjhsFiZvAYYT+GnWmqv/v5mx8/2Pnuhxv4aCj9cQ4hPBwE4V8ey2lQ03m83nODEgrGgk9XOxmuKlfmGUk7HhyyWIljqUGUXeJGo+Qs9ZCoRDCLrWOFQBDSYHmo+WGSjEDh1DeaRNFZxUripODWvtM6qdrDN7J/6Y3rv/dPbuK91tTKN1zc/+j2Q/y/uznc2J3gthPegL026L9+Y/nNG6uYkhRa1Gm35v/TL77Sas195ft3dsYThJUXBmpyTMKuRYrmsw1+UAw/8dDMBE4k8zs4KO5vf+ejTd20UKXTvxCS6iH0zC5ZrFXGortksWxxM1QEhQufaVhcPG78uZcu4139UTBJ/eLrV//u3XtjvJaJUWL1UYnK6UmFCi7Uia4l4QePflfkElsEyTCFhOBJQELxkoT/qbPi+eduz1Ke3Q310GzPdASaFvBMV/8JFF4n9BPAaSCeaASesWrL++F2nsWgRIQwnGLei7hBlsaSvobAc9dAOn/iR6pexYsFDBDysVp2haNBkXQcgHY5WJGUc4PBmAhliaRkvHVw0G23bq718eYrIE2wiHJ/9qnQQ22nJk8pfWQfoIA6xcrfhZZmf/fxvmt+SvOU/DvLsBhkd/uDpUuXB0sriAaDoEvdh+vrm/fvY6ki7oMcyX9o82qDn6yx1zi7xo5l1gu4gMP7tvk7j28tYwbLTfByPgufScUklo6khRZU93HtghlgqxV5JTfYlFFZ4+EIbF5DYIOxVhtTwlhPCVTh5D7Hms3p0p72w6uZWbZ6qcCRZeTw35xIXAlCJVupQomZEoqe1kOmWkk6UYBnIYfqlBBoicOJnksGBeXzXJAuk1G93AjumX4ftHximv1i8b1Oxb4Wv5oRqTFVgSrSVAnP9HsUGUfBo9H+EG90xsMMaL04I/UHfawHxhuhx+MRPwxMaa/h9yCBheXCeAU0po/xEAtwEMX6ACWagPMPh9cVYyY6IGEvA55BD6sZHu2PhmOcCvDEBt42gdsN97f9O96rAMxONMUTgLPqXOD9iWLZo5BrtlwEDKHor5MoCcKHhEaPYNFaKNd14NSlthZTwWn6kOFLOaU5MEDqJokXhh42n1OGjUN2MkywPD24ZeLhFygQiWhCtfdni0XBhG16LFQ8R3oaS507ZZzw6wIT8k2iicApRsAOk1M00EA3EWgiYBEodgfsjqxX8SvtqiPFvkWXENbLuMF/WTYskdQywrpuxnoqmlYHVUADV10/Twzoo13PjCVu+O4vvpyaGv3kwS5WrP7tO/fWt0cp3dK9zsJbL17+5z/9/KefX8GHN4MArlR+7pUr+DTm1969r7EDVkLTVXbC6oiZzDYXJXbBlsxLtjWc/PG3P8arYjOl2TP8UNEBpq5VO3SBVty4I3wjw+AUHPByB8C7tzX6P//qxx/c35luttNeuLLce361/9pzK5976dJSL4snvtn8ez//8v3t8fvru6xxWYFJzhmZUxwgwUIhPtNtFrlsSRp8MdzcbJgyjyL8L3/8gzYr3G/mgc/ZftBr//e/9vorV5cD+f31nX/zN+9+/GDXu1btHr4CtbWLeyDgmoUgliYCN8C7BNp2wZ0wuiq04KAp+YpxOcyD5dSxY5UnmwsyKHSGYfn/3i48x1B0BR9hYVjeyMOybWERUMFGNIdL8odDvLAHTtGcPXIgNr9uAyKWoisoQHBu/sLr137vCxWzv3gU4y9/ePuvfnDr1sYQsNGGT11a7Hzh1av//Geef24VH41xaGDiyfB//YVX9/fn/uKHt/EScmseoDM2sk2AQGVmpo0HxX/88Qfr29Ol/UExqDwoFnFQfOGV9e0fvb++7VzmwBqXZnyaxIdtuoXDudYYyg1JEQiB4tP1OicC0B0nEPjCK2t4Z7Wqr8LQa9dXnlvp4Rylq8kD77MddFQK6FS2Qz2BUTXagRqrIuG7JECsogwtYkq/WK6SlTJgQzmZCMSaOBm8J4xScRJ5wh6cF3O1kTrnLeBMxL82uGfCu8aJJgJNBPII6DFhf+rTIMeOYUcKwx5d2nhViNjVB2Xxp/cvaYinkZ+HI8UEAgXDsZgWt5CNtGDajR3FiWzLlrRLhKgWU94HjBExDbq2hLW/HczL8bu/GFxf/E2f/m3jEnIOlx+Y/7VR9cUvd6mEuGYbLC6tXLrcHQwYBLUevIt2d2drPNrFij3MrpaUqgm83sC0OqakBv1+f7Hd63d7i/1Bd6HTxUy7mr3QfQPFHDA+X4op253tre2NB8PtbaT56udWC36Qa7PCkPcqMoxLqkeT0XC0u8sXQeN5YF2L4BXWWFaIzwBDLYrroqLa3SlUu80zRSCy7ACPefpaoqWE6BuVUk4KknByhVwI+iWEEqGgkmdL0gkhSeZKWS6XynNBsIKM5dqxaOJXCAWA2kRFBOpkq/GrqcCIjJiqhD6EbUBThHDKRWOeTCZ8HTRWA+MRicEAhxEOQ8wD4xiMb5STfYSNdxXwIujJHr6EjZXDOFZwIFU5l5hFpKhZJXUk2uMg4OA4mN/H8xvb84s48/S6Vx7B+fHmGKfhBJd+Fn0t5uWz6YCVbaLmGModLBRuiJoieTpu4Zvr1h2FnXXimN37Zt9J7zgE0J3J1HOdq0gAkuEKKnPPMjrXev8dBMPDo8LILqVhgKPIauRLnjSyTU+OkeQJ5bRRir+mSPsJRBCqogWmS8AJiimGib/0joEtij97+SYEz16dNyW+MBF4Zg5fnbyTMzhfeaysurSEkVUtn980Mfy6TkT9WnrF63rT2B14lQwKJvTfTNWiqV/BFQyeKtP0z9zcpUH3jRvLheWGH6zv/OHX3//6e/dcL5uZYmY43v/Gu/e+/+GDf/n5F3/7cy+mr0h94fLgM89f+v7Hm5iy4uDBume0hDhbh4wLCad6uJGCVDI/KbKWTz8cTe48HLr8bDu2u0KnbGMCGEE8w2uBnRcGSp4bpuRW9vcP7u+OZ/Hho/s734budz7+qedXf/8XXnn9+jKeUAxgr1xb+uwLlzFztjPm04egcwKQHrmungmGgO4fY3MFIAjGYIqxxmKIBCaosDLbYaqclk6SJCyN2pjLcmLa4YVS93cmd7cqHgIwsVKo6T9HWSyfiqJ5T1dOK5qxTL/wqxpQ+V0QDCc/IMAyCBteFiAs69TZrqI5JvUkAmRIxRj6wc7E6WexkJJXXBrtl8JycH9n7+6WD6mDyHZscc4Lc9iHRQzj8ihUjZu9G6t9PFRxdaWXAc3Nvf3x5v/1tz/5yd0tTf1mvgXJB9uTP/vuJ998d/33v/TKF1+7gqWrgYU2iAXomMt/++MNPkeCFsJX1KOW2Pr4WS+WNETM9JAlRcYCUkzgoEDoEIEsbJEfUx/d3/323AMcFG8+v4rlyK/dWE4fGeFB8eIlHRS6jQZ7mL4+mOeNFGGEIMqf9OIimrAUVO0/skgo3PwNBUlbUVCxhBPigSMFs813cV/rJ8t/37n9EF8673IJjBODwAf3d3fxJWO9nQt0HXsKLGPsgWQGXpU2ByU60iWJqYWClkqaWfFQJVOPSyj59riAjf7TjEC50TxNb86y7WcjUk/p8D5KcKOLMXWWG07jWxMBtO+TbqynAHmUemoXx4oY5nAUyy0M15C3I5sDcPA1zHUUNyoKIqaK3+Sup4lyBOVTXirPK5eTKJhQkmRG93ilfcliOoyDP5cWuy9c7mFciIWVE37696Trt+TR0yWgTnGNgIlDzHxjXP5oH6/3uuBFrg84lv8uDVZX8TplyqgJIyLDhw93th5ilWG57UyBwtre/tLy0uW1lUuXMC2FZoYI44dtvgoIKxfnuhjxH3SXljEDvbW5sbOxMRkPcTsHDyJg47V21QY3OQG8sw1zvdZAXs9hHgzTZ/744nXccbZ6vey4A3qed7ZKRgPBEl4pkKt8nMoMCkVPZ9MK6hWncSHMDFMSLBHMVg3Zx4+z+XUiibNVyWIEqmQcrdKCP8kX9JxspUpBdHoj8wh+X1ROq4C30CYTPA+Bk3CXr4Lu4qXQC61FNOm9CRr7UOvaMwQcp2DhFdALLTxgMcLhkvQHuc0jRCozUczkqEXuzHnA7E8mw+Fcf44fnt9b7uxtYV1L4uU0QzxZ83TiZZjURKg/uHI/gqTYOBNFM47FHTEF67oCL5cRKSNBcu1mpLcFOWzeJWvcltO5j8mESX0YSkohfbmGlJM0TAHLuwBARZ8pGKa0guHU6AlEJY1zI6yagpG9EJUM0sOSIxkT130ZoNDjbKNaqpMx0wwtF5VT/jOb9gGeEoAmblOC8yyxmobwLNX2Uyxrck5nR8WpPc542rnej7GL/kEGDdT1BloR6M74CRp0rBHj1wCZLfUMINr/GjQw9Tw22bx608wjO9VXri69fGUp9ez2xvA//MMH33jvHonUc5CpjKV3J3tf+d4nK732r3/2RjrTeXNtcHNt8e1PNgUguzSPnDpEAhqmm3tihv0s/3kWEulW60MqZGliMD5ehWMHGgZFF1bMcnPlQlDBkhIljO51JWjSYMTc1BQM/uDW5h989R//p99487XriC3BbXvuUh+T5Tvj/VCBSHh2xA9crzfT3o9WiAMElEVjCFQysiymWibd8Smatkl6b4BNLN2AhQcn7bpSXnlnJcQM/8xzlkSDolAQBNzNNNIjJwlvgoCZohG1bnomA0ZJj5ugAiLSkAI4y+etG1QAjAWRvDnJqNBFBsSFxbUC8GkcbGdIBkIuogUDISxUVdmMZb8sRSgm2VYitUC6jz++KExe6Ffznr/7czdfXBswisn259/7BO9UxzvYgzfmm3kuUScPgfWd4f/2FbS+l//Fz7ywOugGGCxj/Z2fffH+zhCLufWZXXAQPL54XDisKQXVik8L1lpYMjYRygc0S+hTy4wM+K7eChI+a56//cmDP/jq6H/8zTfxYASK7plzmPbGGwW28YZqVy3gsXKJHI0iD4piw2RUDziKKkojP43PSkZWYfdohcryoIYOSWGjQAcHL60tvnR1kJ7Z/vR7n3zpU1d+5qU1LP4wu1987er/8+0PeS0mu9DG/UCAyFGGlgGs3cAzRSQsXRI1jis9hCHoC2VGVK60UDRKsRLU8QiyeTzVRquJwBEj0LS2Iwbs5MRP6oRxsh41DeLk4tkgNRE4WgRwTigfgPHRwmSoWjx7WJ6/HFLhMUMbaGqI53xwoyQ/VDFD+I1Q6bDGlCKPeeU8ye9TAEt7jt87+0ffYejV6/Dlz4vdNl4iikm3WaZCH9vs0R09SQ1Wgj7920JhsW6O3zsuN4ojWzwrUTmqHy3ONOHruVrCrkfph5j73bg/3t3VJdMseLx8wfeDV69eW1272h0sYhEwZn4VVXf94q6+LKo5JC7VMNXVbi21sJ53cWnn4cY2poEn25ia1wVHqSZQgQdzmPoa7uyuJKseOdMcHk8/aoU6N0u2KghV0AUa0JIygomcJxREvYEasmdn+6KzR9EVkCl4j0ASYQpMIuqlU49qNAMZiRwBp03eL9AGZhBMQaekj3K8VmNPpVYzi/54/4t05j2C35dlihyggYQT0sGE70UfT8Z4JXSnh29b8/hsdVrjIT4YPMFBATkzzXXwk3F70mlxFXCXj7Ls72deWTssmio7MxuleNdoNq1UKnhCxx7tjfbG88Nea3G1v7D3iGs18Pl5iVswUs1COrtlIh32ygWhmHXBRQcNGUja7QfPF9dEeLcEZxdktIU9zzj+qMN5DW9FIEts/JgD3GcZQlCObBl2kqQ75aQhS9BLSz7IAcBObDLktInokuZAzMj/AJWdiyAEPfCqtkCuFGEIgkSVekorxhg8Dpvos7t7lUo3aYtAEt4k2USniUATgSYCTyMCdsqGZfV/7qSkszgI3Ccbp3yDvOjMqadMpFySbyi1jqgSDUT+z0wENF5o0yFqqjuDDS+Nd1nhvzOi3U/ubb13d9td4wVE68GDnKff3x599e1ba8u9n3/lSmBiEfDzlwdYbmhKDIV1ZygcnYjnajrFTpICZGT+ezyIGD36QHkpeZl0z9JJwBHV8+sNr1yYbWODogxF5YS35XTdTi6Q711gmTIbLJMrF97ui4jffrD7t+/cwXJBPC8ewK4v9/D1KJgKpRbLuvgYlgAVFGdJ+EKzvIoYABFRTkfJHDD8mILjJU7rKfaUMXzu0lIVrZqHQRx4akjEdQOYoC1RIUvGV7IQg1DEp6vMySW1V+U0UxulmDIfrEQG5CiJmEdTYVzhrMbxq5YNTQj5sLh4CUFkpOCJ95N7n06sFJJJWMCJkaGy12YD5/uZhciKIdMV98tvXHvzeTxNgeYRt7/50d3/9x8+wuyvkazK7AlgjrHdEUM4tEzWgebq/+ibHyx22r/22efS95C/dfPSz7989eHurW28CNoU8KsXH3NJPH10telscSdMNRNyyxstg2EshCyLk8onU3IMkrc2dr/2zt0rS73L6UGxgpc48WEYigqQoIbMQgUSydggJlKRLiobGjaVhlUoUJcPaX8UU1JorAMl+MO3HjHQc5jcTd9tsLEz/uHHm7jv9+nnVzstd+sELwJ864XLf/PObbxmnqZ1MWQ1g7DZdRDJzjYt1myl4pgcyCgMy4ME8WOhkA8HCEtK+34DKyd4xux751CKOrtyI/nEIuDq6YnZO1VDTWtDeC9UjZ5qc2nAmwg0EXjCEQgTwMWTtRsIcuzBEY+x+YtBnA3M3GgOrHCla1I85UW4mJpSNAmVJUsUQJNWotdAl+Q8AXvM/t641FvptzDOxtqzE5kIrXHjTJCt6PzArF4yfIDldo/sc0qn4J6P8xGhj6l2RCsmzqaEyaNuv4/Fuxx9s2XvD7e28E7mmjfKVtjBwYG1vCtrV9auP9dbXMaBgrsTuKiLJXEHEggyYiP/iOSIeOftQnu1tdCGLt58OzfxL7OKkj6lL4lOxqPJaNQbLHH2Gq63FjrtbquLFZO4vIzGvU7t3i5GatkZg8d1tqUEpVlsGTdOnstUXSYghMRU312wqpCOSTsCYnDRmyoRwEhpSPsIeBVK8AEaXvsdeaPKEdQqRCtI0YupzCjGVJWop/l90EhrtMT0UkEIhx7+H+DctLff7fErvz18HrjV3sO0MD8MjEdWNBmLo4ArhieYIcaK4cl4glwAcYdarTVvdZY9QCLuLAozyLDVYZ57sjAa4fyz0m+P9/bXd7jsn8owxwMp8z7L5BZMtCCQZYMEGl7GkCkVDyLq6QUNGfbqQRSnMDtOdC4TmZAUM2/1m3vFKoC4mc5ZpAkeCWyAcVBRLKr5VOaQ+e3FDYY5nwqeS9D8JNeDec3Snv5qY5F5hy8eqIfqqiSJuktmOwtKRmoy1RGIdVjNb6hPNAL+wHiiRhtjTQSebATymR+zHWk8J8VuscYziKunkSw1/NUz5T3WzIdTGY0wriuz7pV9M3uqecxw4FtG5PsNr2Ndfzj0Rj21mPf0uTl8B/T9e1uff3mNM1vaMO203GtrPIJxF7ttdo1I2Fgi9ooR1KIU8xGeHLeJbZKeVNxHbHAYRE7lcKNrtjZPlRFrRK6xj5X3VR6knTT4pk9IV1zC64W1eM6NaXBM6Os/vveLb1zLJoCx2LG9EBAgFswWajzNGugRfhlrGyMRX3PfzPtQWkqPFHgSwdN0MAZZhE3ThGyIqkmWEsKsWO2QRZRV1XTbiqdQsM2ZSAAPicQEgZLXGtE/OyDMBFFcZGUZXFdrASNLpGh0kSZtYk6+CczcANP5ixKRxAGcrhVc/MvemiWAWlgI7eLjwkIQQzNDvNPlwqJCyA60XGRo/xE/sPVPPnUlnRYF8I9uPfyjb31wZ3NoRUBR5K/zQH4iTIwGwHgDgfj8w42pf/u1964sd7/wqathqhL0X3j96nc+uL+1O1GzII404aHK6Twj3TZFRPXqKele/qgm5JiBqIhOirc0+PCnZd3ODoq0pNdX+31Meyd301gk2GZoWEGKo1NPKiw1JRNWKbHKGGEgsIyOb1Cs6kC0mmDs1OTYDJmewxrfL7x6pZu8//mb793H137//ifr//pLr+L8Rv+0/cJr17753j1cTcqyIyqiDKich1zJW1MmnacL+QN3HTXdqaU5AgHZRilnRQhlCQknCmA2xONvj6V8fLNlzaqglKUayrEi0AT38LA96RidmSPv8NA8voSC+0yV+PFjNiMCovqkm+6MnjVi5zgCYQKYrSscuSERhjwqIhugRlccVjnxkHDaaSNNYQiAfGBHHjmJbctGX1w+7oqakZOn/GgtUKnoXMCzmXiD03OrPfiD945yIWx0LShcsASuTBawYA5jTb5AlZ/+vWAFPFJxEIZ5vPwZ80eYQ+U7ZnndhWWFk33Mv7rt0KbGS6Z2r7u4cqnbX0TrsqlfU2OLQogVZIzyuT3CG7j2MeTn66FbbS7atYE/FfAGp/nOYLB8sDba3cG7oFFD1C27IAqWrGMdMOpRLzXiLDAWQqpycUtitno9QosvAQaCJXCR5f30BItgkPMRDfvAQQK6Xj3wg75xis4G9YLCtGyuo1xOqlNOpJJkQTpwLFFRprxeIDZjTQkwwBfMVmUrZCtIQTP3K5DLiRoQkWt4BjKVGexIys7aeh8/ZoKxBngfHwXGFC/mgBdaC5gEnuB0PeEXf3HM4jPAj3oHeAID08B7k7EdbrMZC1brEycG5Lu9pJHjTszC3v54NMbr+Pv9LhaXTPZHm0M8kg6rJodf8yBRq3WWHXLxGEmFyQ44vD8Sjjgp6gfyaZF168RjoFocvEexipICSRmMgwvue6kUPrNmoPyFFStLBig3TEjJmh/g280m5w/LY37mRatRJ1ka2Mt8kLNcThMzCZLXdEoxYkbw3rOAefCDlSYxNQI+glOFAvNo0kHtAiSe3ZJfgMprivD0IpCdmnE6V2+E0zXmOmO3DLpYRTeNzmPP+gT3ayhBWKd+CGnox33g5IloJfYwQZdaAOCFHLxDhlcR+IcvGWlNqoMaTfax0A3zHBE6MaekjQniCQPDjzubIywFvrrcNy0g4xVZg1ZruIfH05DDposWRAQZm1EiVhKlYCUkDMt+A5EJgkTzqRjSZKizhAxHH5wuoTgHrPKE7tOpgCCfSItbmjYqKEbEr+YSgZcMxYHG6SNM1RDXQ69vj4YTlJY6BoO1j12/dhAUORZ9SYtlXkeXpqZY0CQqMEZnbcDGgitN15ih2/xnApp8ooQ8TIpEWrpJiS3IeU0AOaz4IWcM+eFZTp+isKZfhKOwgW4sxY5J/KF+7NeEnYDTtDhRoHID3Vgskv1ZmZ00SgIEFZWRUlosJ6VIbG44mAAAQABJREFUcBm3fDClSltGZEwUTwBZhKUiaPKMqBEqGMAETe8PI4MUiuM7uM+t9tO3DePQ+ZPvfnRrc9fXFWVdmnvLksR2h5zgXGufmxvv7//Jdz66eWXx5lp8wfvLV5fwCVtgjrB4gWZVaXz3GHLyVET7cRZckSiQMJF0WboCUZaC3uHs4sUUAZXXgmD09e1h+aDotBlC1qtwCIEDACXSRlxnj5iSiWZMhr8m7pQgAC2G3dQNjVYM1otBBogsJasbPhAHJfr8S1dWBvjYb5T7+rv3hrySfPS9D++vLT4XTpuou6vLXayrxhQ25YXnC2Mk+hCKEx1WKj76ECJXkEizACI+4ZFwhfKJVFAm5UVGPY+ZWAXn0fsz7vNxgztLYz3jRZ/ZvePGaGYDmeBFi+xFK09WWU2micCzFoEwAeyHF+koyYKhcRBGUjhzYpDCkViy5afTlCegwLaBmh/XJQBIlk3SiNfIZbNcQM+oymQsywTnMPO2utjBp3/bC7gJzxVnGImVIc4QJSvN8fzia2fx8mfMPO7z3c8Xf8XzoWHCh5Dxfll3UcAI653YuFbT47iHqavBsJliBM93LmHyGMHVFQOv4TAdtYcFi2hamNOxbQ+zw8jyqmoer33G90vx7lq8RazTxVuj9TIpTAYt8EPCq5eGw+Gjna14OVH2xi4ecP2gjRcSfGhfh9KhbfkIzb0GK5CT84HRfFMNEiXXAwcJSHuFgpyk+BPEnUAxX9ArZ0sKIpSoUiw6k0iFJBKJWCBD39IJU5i+jsgWT6sr9Cx/YJW8TmENuQhbUCkoOK6ZrOWVglsAtWy1OnniBDYSVU4GfiW4iCURtGPQsMwdn8vFgYIjh4cL3wiN90GPR/PDA7y9HncrcQm/j2cgOjiQFxYwBzyZodeod8M4JWcOU6jhG06ChuCEHIrHE8Fkb7IwxEvgB9025oAxI7w9Rll1E4Oo0ijGNGBAgGmTFjVa8JqJsDEVWahAD3+2MWh4LbVYjgE9spnzUk42UIxHKWxO3jLiGEPauLWh+ykFOEpQL0haymn7Y8Of0pQXT0YgaxKRBLornbmhvPAdVqJiNoNcSNAflUWOp2TerHGuBrISIDofYMYPo4xDrBxI9IJYDtfkZouAoj6baCPVRKCJQBOBqRHgmTqcq7OMMcJI11br5VhU1M18ktnb6I4+0+XTFJ8DZUcS+hPXO1E1buCyY7cui10SsSrQTIPCpQ1jorZ93tJKlsm4jAYPURdu3dkY3t4chglgoGJhcb/b2sVEMkrFPtZ+i/ZkJEYpsyZZ6IKYuJokIRC9cMhuRsT3oeLzR70wkMAHHC3yH3t0vhM4jCfoABnZRhqI5GHjpZ5m/GTKiXKax2Z/CQaiqnB/f2405uN54fMtemycCPLH1Q6QVWnTKitzaHrGiiYZeCFw+Q94W2SpkqDoHExqMt4XLZQxNaDSW1wUOwopcrZHQRbm+KHfEDgGFRm1Py36ZpgVkigjkfTHAPRrlcWISo87g4zyJu3YxeqSFdg3LYiau07MAp9CPWIQqMRSWcMxP6ymxaqZtlZYrEmlrUjGVadApEzwXy7rfcv85i4YZmlu7guvrqWLYsHCStl372yP92iaF/VEYo1JAz/McQsFkh3z3+z98JPNb79/f22ph6cxJMofrDP+0e2HeBWzFZausYHCE/+RNi8qEB4pTCCclZv3385PDCH8UQOhApL+vBWCsLd3MEKpkoNigusx5G3j3kXUCATkFhygS2meGdsMwyOBxjbA+JtX+jUiSCCTbW7il/99yyZc4f3PH93f/XB929639I1318ENE8CYzf/Sa9dubXyIb6LTnDlMLNzmYVSZ4ES4cUJB6FcIlbyk3fIGFrl+c/CoEjuXKY92kWa9LCzEZJM6lQikdXMqBs4maNOwrF5OvvovWGRd13HycTqbx8Wz4RXaaFOhj1XVJxbBaqBq6mN5HJRtNIlxB5oA/sNUsinnBjtMG9dGwxTLpWMjcnTP9sO+sgFAeKHELIErySWTmZLLeM3CXk5gaNWan8crX9YW8crdeVzC4Q78M9D83ewvhrC4bOTLVffLV0FVsbzQNCzC5ZieLZBNFxMvWBf9aL/+3cuMhjVyu26R1sH8ZHeIt0b3FgdzcwNcIWAWajwa7Wxt7m4+wFte90dDxBvXBjrGQqNkjXR7/cHyyvLlK0urq51eH54AEV4tXV4b7u7sjXbxHtxiDUDCbgpwWhlruM0fSmFqHxuOHHddWdRUfhovVYiwKZVpzwlXkUZAwXzZEqGCsolWKaSCwUIQJNdTU8nD0rmOz/n9YdrBJBSSsoV0wLFEHgED9yKG4EDcpSrqLqm96IzXUT07y9VnSacTFCJGar2C7UgVnALEVAm1JSsT5OqL74pdgHbZegtS420uvBF9f7KPhyU6fb4Sut/vdzqd8Wg4Go1xSwIJzP3iEYpWa8xFwKF6qu3V8+s9qUOqpc8GhQLiph3eBD1aGA4WFld6C6PFNl5+PRzbvb36ThCKvENgUYcXvB1RLre7X2JeyljmsKqP73H0LN44Uptn5I1IQjif8NTCJmu3PzKsQlTL5S9SCK8/nkl1MyWRYGlYQvzIH5qi8ZBxtnlGTdSMCoLz2pWBBGdOMESt2QxQdiFhSoZnCp5TUneI5DNiVHVbld+e1+xPKgK1NXpSBp5xnNien0ognrL5p1LmxuiTjoDO3GbUJgWt+7F+CnTrKNU5FbsQnH/437VT7LTkkDSk0+5AQz5OF6nL1gJayRTLKsDY7HG1xj7M+hXrX/jU6Rye2eIGaUHtTh7hWxJhMgOvon3t+gpWCuIzwDAoKf14FapZF+rBsf/BrY3/9c921ga9Fi6VwZ+ff7i794BvmoUuCPjPnlhe2IugMXDwIxbwQqfMrr24gaIrT3LUoRNIYhZXksNfUFf/DTTbM0EZ/mhjCv8lzkdwmWImeOLk3A4s74NU+BNm4CgDguAIy7QKO+i2lrDCOlqd29jFwFSTXc445+dxHUZxJqguAHkUboLQwtRN5kyCgMiysaAwfAsvsywXKPQb16x00ARUleDjH2iPDvh94tQSMpA3PLZQxyYuxnQc1h0sYAYV+HoYUHPj4FCOApphRtNlngEkUArv0iCaCdM0IdGEJKygZnRXrio8M2HNi37QPIuLjSGxAoJACpjYmIKrKJ+40nAOk6U7H9KnMDdk0rAgT2Q8qc2ElZyFV8DBseckKYNNzliNu8McLwl/6cpi+rlZ6H79vbv3toa0ZZ6qPCo7S6Rv2tAloNnkKe4OcNJcm/mKwnztx3c/99La4pU4AfxTL1xCmzzYUAuYt1d/8VlLtUHT5q8heDDAJgRPhZPmm2oZaeq5aWkk6BmK7LxyYZ/juwEWsYzCYiGozV3c8mDxTIYch8VI4j4ICCAKHsG1QlpNSd//AMIqXdpS4S0U6MEHQqkUIU0jQMVMvJAlxXjSjesr/TduLGOxh8eew/JfzO+ah9/78MHG9mS53wmn6S+9fv2Pv/PR7sSc5C/MARwtQnYdDC3KH8tbxSLt3bNyB5tBC3hRFlQWhYWyMtKWRO2XLGXThCecvz0rZ8btCKIzIs4iFoI9i/DFk3k6QT87cTwX1f90KulchObstKTGkyYC5yICGE3aoR3GP+a2iDjV+OMe+/zEI4bnlopqaMbO9VLRSnUbEKVih6SBYiYq4BzJDapQmnkMWG/o5c8Yp2KRpo0yD7FwdtkVRS45yyElXp+K9a4IExb/6n3XoWJL4s8MgcNwRMQ3T0ye8nO+rXh9VREJJ2w7Cz7WIk42797Z35ssrVyCyvbmxtbGOj5K6hsdHx2FKHSoAKPaYH00HO6NRpgwxtXVytpVvI9aUgf47GkLzyfgxdTx+COH1xu8YgoIAQyIOuKCSbOR/HqzCak66cArmOIY25VcQpb2yanqYEI6UUitJMh01gnW46W6pXSiVp0saURCogCi5XKakUGzopQK5KX9Pi0yKtD+RYPFVFL8IivPB/yc7J2eSq3VNa2p7IRpydoIFF3w+QTBk6r3QsY9jUfD4S6OlL1eDzPBeOHzYGkJL4aeDIe4T8DF91gC3GkvjHgvphpoCvXoGrVggML/UjimyOOOGz7mjTs+g0H/8qCNZ0Ww1kRrBegWmkpNiTKnYdDyuo0QrVn0yAziSOhUoVsxgQoi78qgq4Ao2h9vQJGE843dpWGbpBDX2AgiGiFgxLe0DCciVAQuyEWOV5Yx2cAP/aXBrPiG7OUlRXltjse0JeVjQvVqKclUS7+6pWrUYvBdUEoqUwlZIaZKNsyTioBrrScF1+A81QioNp+qB2fcOM5qzfaYEUCPE8KoXgIne9dhab4w6eP8xEhuEeISZE/GO/qaHkDSujInS2T2Ir4/Ih8ClS2cU1jWLwskTnsQi7NGnHkhGv6x5360O57sjuMEMKQwY7Q73vt333j/wwc7NVYIps5WPnBSef7B9nhje6xi8EfdPh3WQkeaU9E0RLDCUJ++EkkwTNBDnyGKNsgrShAlDzlZIM/JkqAk9xw3UAoUt6qRkaOS2QEXUVI0CWHhYEo6JeuOg6lNX6XOXRvsGFvaLCLUiaC/+Rcu48HD7PvKmOvCu3nhgM32U9JFBkkrBFTp/0lsrrycn6Nfmh7zzotAN8XiDhz+VW2gg4GmxdWyakBWVOryleIC4cvFueBRWJRiIkfDuJDVUrHZJKaZp4DTRuWoOotaxsZvtcOkmgpFnEULtFnnr5CtZMSRVcriH/7TAhsJGaZT9prKQJU8p37Nb9JIRAgQMf7o6Q1NNFqzM1EHC62ba328zifFf//e9iebQ66TlQn5Q0csgeE0K0EKHFpbhpO4AMN/17jBwGLfOw+Hz18e4IFXw8e6/BurfXy0e8zZTOKojEiDb8GWoNBVEGStdgwg/cUhwYNCDcPcMY2gTI6ONJiBBdJfWBvgwYgUZVNPRcgKS6LoKP4gWUUwkNhYHSog0uaSyBELWajTkK85K5ETs1BBHEFFvTBSzLAINCoi9bH891NX+504+4vT0jfevcN1y2LjvWzfen/92mqv33G1dm2l9+kbq998bx13CAEmaHeOoQotudgKwPnjy4IsJEKtBi49oWv0l5u5bAkczWxawGZouXl6pIjGFmgCF/73WSnnTBVZaEW1OrPK1QE8I0F/3DDVhe/C0C1Az0hruDC11hTk2BFAU382TwrznAD2408e8PGgV8qy+GV4bITihiBuDFQOOceIThdKSBtGJuhJfh+YEi5RPbti+GO2fAm8oO0djncAQ0l8swdv2lxbxss2+Q5RDriPv9W6eXzIU9CEl3hCG/O/GF7ik7H4duzjlfoUXHxKkAeYs8X6b38vQNcNaGGYrcVbspPvZtE9u96pdJTNAEsPN+7exjSwRHmkWEMGDy1Mx444yFPcNjZamMMc8HB7e7C03O52wQANL4LGNNdCpzuPT4TqGOKhR55au5J8ZplP2robGWDCbWxANA3KY5viuAnEX+HGbEzZFVvMyxFkY1EcrwYhkEsKAVMi/DFZCgatIHR4ItdRLicZRJ0fuaxyZdEgVGZFp4NQlc91zFBXVcg5UDVENRWakWGpWgNRMLfnc57v954e9/UcyExlRoyKFG8i8MX1u3xnQw+fBu4PsA4Yz7XghKaWON/pdPd6E0ymVmjXkY7vTwnx2FC4rYJPjw9HuK3THfTXljrj/bn1bd2JY8Dc3ZMKeETEUZWK2ZJv6uILCBC3jXo+Ixmcuni64R0JO+F4SZrTuQCnIbZV3cWwRisdnvOcFZ7ZJBN0Swln1ymQ7b3gWY5csmgyoNJKAUfM+GMgwT+HaiBBk2WACrYI7ZlmwtEppLM0fTGNJOVVPE4AU6U5cRNyDiUaMRnUIqlJnUIEsgo5BfwGsolAE4GTi8ATPV5tfO2dR8fHzk1ZdYKu21GPxjWSXjDdY0KMWY2/rcfiJXLoasAin9DqU2iBCe6lSOW4BaL5IV/oivWxzjdOPbKz0YJBXAl8fH/n440drEEMOBgh/fKbN7AO+I++9f5f/+Pt7HvAQSgkCE4X1fNjzoOLCjl20EYn3VpR2KTrZFgRqYQ0/0CUZLwwMXX3q/IibSWhusWWOm5TGQ3R/8oOJkn0SCyt2D/1zXLWqWOHK6Co5SHzPeLoIhno5oV3As6xhCyflzx4eW2pMNeF2bix+74yK8Hs0gNqu/JVJILNqgTMgUzD2lwwfZYTRT6NvXMXtphhVZEkt5FNBH0y0JjgHyedkMBP0LIEWWF6mMVRTTkcKtAYjTpSYWd0BkF27MiQn65yvTz1DdxK7unZHgKSswg7lkxENF0I05qZNlj3C7L8AAihSj47GugQ44awwHNcYWsSPJYd4FwBTB4FJC1kFz7qYo1uoZ28/fGDhzu4kDe7OLh4/mBV4fJdQTaf9UurAKMsDyC2Igorjo/2D97+eOO168uXFvGkuNturi1+5wO8+wjSKIY5w2LKSS/EPSG4mReWTn+N7iMtjtNwUqxx/CPRHEbi5Ss4KLLZbrw9Hm9Kp4rccTWvWFnAUDRC4I8FM3dyQ1T2G2SsWAqC+ehUY2SscPCMiN6sLOsNBV987UoPn/ry2w9vba5vj7EWGQQUBLu/+/HdX/2pG/2Ol5ib+/Ib17/70QYngAmqcpsb7jXooVKiilKqOCseFHVcFiRCNimLPPFnRNqxugpRKScCysVIWCwuRllOpRShBRyCPqvcITDngj1ro6mQu6hhqijquajKxskmAk0Enk4E2m4MJut+kOhOkNjF4QgEOBrlaBipOmfJENNGe3VipJdxZH4qdAkvl465mHIqGOnhe0g3LvWur3bxNCA+VbK3X3q/bgn+AhDwIClmSnCLAHcLMFkSP9ByAcqWF6FU5zm7lMMDAHu4gt/3L1LGOulOZ7C8tLO9NNze8nOrOAJKmiUChfBPFxX+4KA7UHXEkgp4OJ7wUWa0+v3JaDIed/f3NU9PUU4C4xVsWIiHB1arHMB07zx0/bPAsKMPDe/Hy46ZHDcfy855SmI6JJHIQx04dNxrqvAxU5sKbkbYFK9WL2WUFEQoUVOVNF0SLBFMuoYMpjj17NQY0m6eng/xu9tkIQgFyYpstZXDqNX8FH6qRMJEMqnjQxEkm6inCrOlM2WcxB6Nxwd7+DTwXhdvhMYccIu3O9l1tPHIRHcP74WuPGAKxjLUAm/mbAAJiZlVg6Cp4smc8WjMT4B3e9eXOmgZD7bRPUVcFJCZSEAm1oNuqrgfiERGMJMmTAJCvGft71IImYq8c8H7KEjQKBOMqMTJNhl64pK4S2zNmCK04/dMJ5sVAczA9wm3hytYeEK2iTChXAKiJOVlqciwvHNNOwedCsKKKzQxmCuE1UpNdakJwqLi8BENYyWwTspBKa4lmUTckmXjJZGGcBoRYM3bpko6vKa8eLNvItBE4AJGIJ4RCoXjAF7nB3YTlDLJsrx1gpS23tOP/DlXhL5E8wHQcucaghJj6qnHdSOQkRe6/pZ71CSWzRWYX3MHP7m7/ePbW595/pK9vFmS/HlhbfG/+7U3/8XP3vz79+596yfrP7mzNdwrPOEqWSuqPGIRMAmFCQ8l2DXTohsQgAVZlsu47E/pDunuD7upm9miCLXc5qz4LPcwwn9yQE6pNvRjXLGdhhPgwMb38Y5T2tE+TctzF0B6oj+PY6U5OHjjuUv/7KdfuLIcJ96g/a337j3Ytg8GGQirGI8PKzKE8fhKuh+jp5Q07WKYkBInI5UWXMBZCm5oCFxxjQ2hqTcCcRYcXxCWDjIQBsF+rDURgyBACUBMgGjRsh2zUQDpbBOCIYMOdSrLbYq5ZmuADgQxd9WQASUZc1Y44ZgKbHPVIcpXsmAIWphxnRITysEyI+LmZqHHpzwQlH3FRwIWD5YLRnALCSpIIwFFGCEKRV7EBHC+UhwLdPmgAOVpBpJIcMwsZ/MLfCPpl07Y5ixhdw/Tq/qQsONwwfESzG3sTMClB2TIGf24CgWVtn0MOPEcAFxCF6MJFclEirB6GMSwTeeN51YrDop37z7YHmGumsbMjGIlFbqgQwss+QoCGea7ofpfOhD+Q44yetBFIFSCCdrQ2cGqCXlySWSlUOetFy+vLXVdHIT99Xfvjsb2FA9KSNh3Ptm8vbG7gmXC1OX2uZevrA06O3jvPTJmyE5NWsVsSeimsNKDMPf6CTvHsR0Nqlw0rUJpph9xoGlwLKHoyBmVxkGorBlck6mNgKuEWn4d47h6dXgN/XQi4A7VQ8FnlXNAJ1/9J494aJkbgSYCTQROJwLskE8Y+RQgZ/YwPL7nBjN+/MHxCMYqvIxCyg+MwpDHEzI7EPSSHOYpmwlYhvTyJsRqlhMu2SwRCqisJ0PUWG1l0MFYEJ8swSdw8dpejsOm2iugnccsRrR4qbHGzXOc/HXXiCdblHMbRH6vd4zv9Xb7i3o/9gHmXBdXLmERIZZKj3d3eG02axOJzTecHTjEn7phzR8memEBtw3wEdMw+wslW+BrHywiRjnGOF75ZunIgDlexdkFxlS7Ytb7VuIEAhKwF01WngmD9GE+8NorcYWwM+t67JKCCCWqFy/uS4IlgmnUkMEUp55dNCgN1BuaC49GtpDZlGulqhmRGlMVvog0VSJhJskyVA2zhlzWr6JE5cKRtI/50hF/9jEBjJdCtzs6Ghba7U6728FTHaFpFWEjZJFz5Pzs5wZBJ0cN85kjerca3B4vzPcX+FWttUcdPNS/g/sUUZBnmLxcutnhgMikCbdP4ZEmJ25ZjjchqBTZENf9QFFwhmHwKSERn0bAecLx0JZwa0agSBPyJ4V1bggn0J1t7qjEP26pkBMR3buW0JQMP1YYrw4PocHRiKcYCksDlUM26JiQt6p8hhQQPFWOBOosCQvlLJKNTBOBJgJNBPxpqYnEaUTAzvo4j3OKBosAORqnHX9m92f6StvsbwwAHRH+q/+ghno3qSjHN7wSttQ1RVTKic8uWkD5lIPvNyQH/IP54WTvq2/fujTo/NJnnguTGQaIq8BXri7j/7/6wqv3d0bv3Nr8wccb/3hr88P17V23jNUEbTggwwRW5+kt2Bc2OaXGYtkgwYTUvdLNbLMhQ0ayjtjJOV0LEsUiguLG8JmosoqnxRF5hoTRixvHI/LMgDJelHIp+RZFnB6ZZgsJx3356vJ//auvv3pt2dWmAN65/fCD+zsTPETOSqZdjpPwo4lDuqccUfxNk+idEB7zR/47DCErJCIEVkhEW4gwi6XBq8ZvVkohgA4SShLEIWrFChRLhLiFhBcQvtk1LP2mWkQ3yzHUsd49jt8DimgmgGk9GtSfC2/0VbCmFrwyLrKVpfA2tIcQjHg42kSav0bCr+O5W2JkOBYSSEGWf1h/32nhnBG3BzvuW9FWCJQdYvxzBlESCosiIvI65I1hb+I2C/d3xpN8AvjSEh6BtYc03MEgtwDGeqQRtxlZFL5curglkmQxS5N+S5JG0kHxRvGguLX5AUq7x3XqDKa0rKAsE/4pBKRLQr8qtyS9Me4hCEWJqyxM+VZj4FRmyu11UqJJnAhDIz6Y+9Jr2fufx5NH337/Ps6T0OTVt/2bw0uh772UrGbutOa/8OrVO266nXP1rHXE1ELn3/le8JqOeod8mj7mG8shv+3HTh/0gxEnItJKWClYQMqQnQNd7Bzj8VjbcaN1XL3HcvYQ5ccOxiH4CfsJmkqsnp3kyVf/ySPqZDF7yJ71Kp09UudMEi2rqdtzVmdP191yi7EJ4HTQLw910rIxW9ARjVwb2BVK4jSidoHvsh7E7xNygZTpl3mVTphOJuwyeLzvuZXeUq/NdZ9cB4sjJ5PLzNVkjqxQg/NkyKhULiPFy58xwcBP//IzNE9iO2aYjql2/BLNz092d3a3twaDpdZix67A8CFefI4Xwdrge1l3jTi9qZjfSWjtQmVqA+P12RyqBvXT7fcXVy93+n1Z4XUGV2qPR/sTrWWsauewiKrFvBcAfPHnIb+/t6dJa0+r3ieeFgRKnJRAo5l8yhQjEJDIRTM9XeIYxTSy2ziH6RagYlZYBhiJtamSoBFKbgc5JHKmOIFda6jIEAh+7E1gugC1y7uiYMjnZgO5pu/PPMoyUVOpabyAbULwoF66hlNDLjhRlc00mckIznfQJntjvAV9D0cLPgvc7S508BXg9sFgMJyf3xvZHHCumeeqTD8hWoUjOEXzY8CThdaot9Ba7s4P+y2cr/lxr2TDKT3eBTG6qxuIMcW2gjOIlEhi3gXQCdrO6KZjfMeWPH68gPKCSxWZ1v0dMws7MlnCwK0Lu7XhYZ0vMRtQZSPS5TtswI7d/ijyM1tpxgui7EknT2oqZQUENSPKPikVVOJ5/1gJhTFTWYPioFZvvMsTuazXarmGeuoRqK2jU7d8sgYuSjlCVC5cgULJmsTZikA8U/M0jD/Xy+IrqPGaiWsEpzRJarFU6hqwkygo+QCeIuor/XpNiEmNqvmmLkKdiHp9uxonIMS4qk4wSKuL1feCkb61sft/f+MDiHy5NAfs0Ofn1pZ6X3z9Ov6DMhzvf3B/67sfPPj2T9bfu7dl74iWk+rg9Gga36psfmtmwtxlh5UXDTLsIxGlmg1zY//tr7/53/zaZ2r4h5C/+vYnf/h1zLrq48QMQ+hB6ZHCzR+OF7hxV+0MxK0MTsvE9StFS+GLvz/90hpeoP25l9cK77nFJNxXvvfJ3c2hVcGChkIqPN1AZ66uHTY4XyRv6IuZSXr9YNElICHhSDdKUDYGcTWFG7Km5YkMixkroMkHcgjIZop/ipIiacLhNyRMPvwiwVKTbUaQiBtJdk3jWq/wJWiNhWYNOlNiG04ONc+DIhnaBWS5Dw8EBVYRzivPvjd8/LJIwrUkfznOdYU1Q84idjguPNfZwkvm8JUxUzAS7jRt7I4m+64YMKAnBAAKZGDox2mHHYSZpl0GxtUmKBs7eL9ydoAtcv4XWDw3YTM4c7jgGyOpArrnWYI1l5BJOpQykFHhPRGrjd96ae1Xag6KP//+x3c2hobBoT+16ZEOA6ZcKEE3YLrEEjI7dRNf7TWkNGQmINDdsQ6S6ghE0A4OLi92f+rmajof/w8f3H845Jv/EC+V1Bn++jt3f/vzN9PD/Bc/ff0r3/9kd29fT9IQUJhWKawRRpu/APMh4h4LpeEEUoBnPt1ozDwkVS6SoOJLFik/25vqufR0boXCeSYVY3eey/LYvs8aDNeaj2wv0ZvV1JFtnCGFpLhnyKsjuDJ7JZ37oh4hKo1oE4EmAkeMACeANYjhPuiGFIYybkwVeYEZVRxJA58gmOBFmlIpgmNVkIKS8aZJBNG0EJGIB/quLvcuLXaAMcH63yOs7Iwg5yuFknJ5aQsLTBfwuWO87zreyagO0vkq38l4uzce725tDZdWMO+LKVWAYljfHSxdusprlYcbD7AO+BHeER2H7VkrRAYdbOhjNZBH3giZpHM3iM5x9hdG+4uLmP1dXF1td/AmW7Jx+TDc3R7u7OAttxWFFAKuMfC2WKhj4bAzhvUEmOPfs3mvKtPRzQrUSlJwtgQXOF4vEJCAdEnB5CTFnyDOS6iEN0XXy6XSCS1AJ7T6ZLCai5TcDnJJmTzN73OIw3PQ41UrK3q2p1AqDFWQzHBkxFTBpVqGk6viV9H+f/betMmS48oSy5f5lty3WlFYChsJkARAdANcmt1j3cPuac60rHuk1maSTGZazPRF+qq/MZ8lk5kkM8lGHzSmkXrUm0SRlHodggA3cAEBVAEoVKH23DPflpk651x3D/eIeEtutT7PlxHu1+899/p1jwiP8HAPliAH3QehnDOhJmgukdASbnmwsovvAmO6vtY2mKpMjWM96EYDr2l3J6pYVB2fC+YhCRCr2RBJkA6e6G1VfyyTy6xIcJjgwgPNFmb2NyYnMY+nvbe/soVj3fGhEJTlc4dEkqUjwf8bDx9DhEC5kGDEPZ3IiBYzXMWxMdfxkYSZgCcWELVc51Z7yCOqVy9B6lAwRJ/K75ELdsNlTM9MQNRTQpcgmY9UqBHxKMQpz5FlU7M4vPFZFmOE5X9KdakemWZuuYiDJIC0OqQhd+w5uQdCQ0qM2O6JB5K6TBL3RP1jraTngfZYe2VU+BPxgG9sdmXkBQAXHM7/5bgUk/r8o11LehqgbHbvIKLrNs7q0UnDXcp5otfayuoAloLJGg7q8KoA3QLhS2IOLizgzAx/ZeQegtdXt/7kh1fwYRt8ybIeffyyVNFkfeLFcwv4/dEbF9e22+9fX/vXH976+ZW7m/yQp31xVgOL1uugOQj2TEAfQxWoLyq1azxGdjDLe1Vs2MB86/16wgH2uJ9lLwAWQJ9DMXxu+c/eiExUPWhMDGTjcYqWZxr/2TdfwohcTrHKRdo8RoGqlclaFWNdpabu7u7/i7cu/eDyTYydo7CqTKhlhPIYjWMEaUCqvhiJbAiayJ0EmB4c5zKIpF8EQDB6wlqYsA3TjwDLRQDo1VitlXpYs05asvIWk8CTFqhNjM4nXA14s8icwaolR8ngF3bFOKydC6QCIWi0iGE6Vno3H0Bik2SVaJvPL00TFWYIzjzHooSfU8OXIcwT2IdmSArpU3XclztOU7K+g4/VYAYp0FG32OlY5l75UmGcua1H4R7g2EFidYvfrIo5cfz69d6J73wLfDNIhcIjIEmDZnpNdwaDg+I//4fuoMjniWsBB8VEZbI+4KB4+9KtFibXyu9ypU4MpmdPA6k0jNmqbLZ2FbNUJ2+HvImc+W0uAL/9rLAUx/mZs6T3WUhBqrTM+bVnl6e5HDfjFt65jPWf8Vwl+pA7le9fW9365Pbm3FMYLHatEEt5Xzwzu3nlrr4WLPU4mlW5alsOFAUy33otSMMIsIJcWi6YazI6u5ppvmJYaaAoST8Fw4sRV6DRro8HSv3fh19ZhxIaBHqP8kMzuUf6+qp5cB3Zz00nYPUJQJY5vl+pyvhHtJEHRh543D2AAeD8iYM9rSzg7OXS6JFEHbqMw2cHiggJSMhCpJgRdXRiRou7zESKlhQ5S7HxacjKGN4ExKd/0VH2o7+lwo8OEc7i6C9XGOZHZLPP3D46RTyOkmDQdGwMQ7ybaysT1erkzCwGzIGL9o841mSuNSY3Vu42tzexUrReT0ajS9qdEtYUFU16/IEz13SpoToxARXT8wsz8wuNqemJGr9SY7dDuHlobm7sNLdRb7rpyZWUt3ZYMXpiogabeTCZZt5u4HmSMBKFEA+WWDyfneRLWyyQqi/kBAIiAC5gm7i4uDH25OjtK5hqDwAROUBHtL5R0ycWs6aMO+REBUo1RTBlAAktoJlW3kaikbG6mBOp8FKpgEn5vPJ9JpHFcpw+o0RfXoNnzSFYsndm75xSIE9MxFxCd8m9LPWCbE/449fcW018WXlqfAqOxZeAq9X6eGuiPdHq4pNZ+/z+1pGCiR8NJMHIQ7k0mgNf4mi1qxPVqUZtaX9ip73X7LjnxGBCu7EjXO7pWSZxMtedkOBHafB75FiUjPmYUCNOx8uHEqIKyRDICpoFdx4MkozwKZBMdRYpM3BEwi4KJd7QAMsIRSIxp9CVynNq77n8nu1DT0tzzMhnwKMx5yNLF7bOcNFDB0jglHMomRS82R8vYy2JBQUleSPSiXigUIMnomUEOvLAyAP0wIN5vBVP5YGiCJ/oc9QACQsh4gnK0qAHKJRx16tQ3hBRpjFxyAuXi54Xc7Fy7AFMJbe8vNi4P8CAWf1/Tgb8bGXrf/zee9/7+bVvfvHCl5/Fy8+1YGefCGbovomZwc+duXJn49vvXnv7o9vbmC2H+wp8bUYWsFi8EMMdvC2HxvBvsKKAhcY8CKFoSK06jnWwD23b+nb7z3505a/fu7HV4jxCfF12X4NPKLIGg0Vgl8oFMwDXdU840j7uHxTiB0BmJap9oppKLYsNjuND6UCZrf6xYzNhYLSvE6wh5/F7N6OBgEEdu6AwojeUUypDZbKcElwDuv2MD51JFYTsEsly9/exJFeulJhT38X0X85FTy2AbFCRL7bSAdxyxd/q7m438QbCHj7rZeQpzgB2SFLAspphrGVaYweqo6KAJhhvcVBgSeeYcqA4Xhz5cxwUv7yx1exSI1XIXO5pjgWQzXXcm4nyQZlFlIC0yyIIo/i5DAKzaIapWw9soJrqrLoRe+PZ5Ub0PWbY+d5nax3N/whQjEgNRq9fODc/03COBRkv0HxwfXWztcdD3L8GRG/yXSAW04pDk3ygPTITsDSlLIDuc1lFVixAIWY/Q0YcwVE8jhF96sB7V+oDyz2kAofy1oGFjtupx413vyrvwI68X4Ymeo/f6kGvTCXqD5Z4VJrKwUo94h55YOSBY/JAlf0OF3A6ybo07DWzTxVlq7flmd0+y3YdHrtFjMjqxNiZKqFGAGX0kJ3PRLr0vBdZ6m3EjWtlbLox8cTiJBZ0wjc38d1IWy2HHHlgL/Wg7Q9uJ2oRI4QcIMTwr+bHlXrsQSvovbaHnfUKJgFvrq6y5eMDnDOz2JkZ9cmpBQwlTU5urq3ubKy1sfYSlpy1z7Z6Q3nXao3R+ddVVb7GfNNUpdRrk5j5OzWDib9z87VGw44PuxXA8wQMSO9sbe22tLxYBBSisLparTamJjHi5Y+EfXzLuIPv22AJaN5SRLz5eMhSGQrNokDwRfWaQtoRTACoBE7BEw26xwJHUJAIZqi9Y0Eyxe0tUMiJEKJozNaD7DVa+cDkyhuLlscDoJoKeVA7ODrxj1tK/uW8FgTK8fLUjD2L5XmU7psdZUbRHI7LKaljY+wtmQNKk5kYYtY8GMm5JZWJU+BE28JLLp1OG58Axg/LHeDNFxwgSLTGd9ptrhSNEEsdLG4GHUwm4U4AkMhCkgAZZdntdFut1uT4BK5cp2b2b2522nzYyGBHd3qMKyNfK6aQTxfyIZjiHz0kDIlAOJGYkczjs2ilkAh7RLIxVlJ9pkEzRVkGQErMUra1fMCKSRwZDzMpwz/ElaQZpl4ZASsGF4JxYdsnADY8siljK3E22QgNHf2xZeQgllSpdcBKH9OljKPUg+GB0FTD0fJg2DWyYuSB1AMHOxGlso9wys61OeforM9C4/DmKG0Wsctf0R88D/BtIna/Ebcuf7juSd6uGhKVOt6K2sXHrkApKAERBERQ/QnZbIUMujT+ckocXcoQQVcHX8HY2/vg+jp+5xenv/L8GUyGewoDwYMmBJvCZ07P/ae//dLvvfrkn/3wyjuX73RYZu8FmQJbqMzKqql3spXSyAA3N0focHm04l5lt4tkMAlKs+AM8L7OhnMylsPG/uJHn/7lTzE5uiUAGGG1yHmBZpYrPjOCScGAQAmRgXawtsVk1e76XkBXI2Sl6LUARBCMBxGIGMUZqNx4I2tlo7Uez2e6rDCgxXZaHNtANBUxrOKODDbaAxKOCFlrgihCQBC/SznOApxKIiRuHCSYLRZDMQ6bzTPeRUW8/hTzDHms9N4Jpsh5phxCpcR9hq8aZ5smBGv0F4eEeSKSRzFC8Lo8gRY4EJACJxU4P4jT2juoZGcLMTGHBmbggEQhmsa3IY/1wPyLH135859cWdlsUweNcdoYZREwSqo1pzFoaknrzYvRCpVrEb785LAsWG6Fcn5wJaQm8NgxgLgddGQl7v4LZ+fPLU5anRnmjz6+28RiUZafbc2KMUwO/qM3n8VH4oLbX7946n9/+6OtdovnU6DrhGdRDOfzSRF0RQEFdlgAlw1RpouCbO5HRJB4l4Z+oa/CLyQlhFdMEj1id3CH2wUr5anDYYykvBeTyjkGtxw33jGYdCQI76c+IEOw9JF+4LOOp0bhJJ3wHvjijgx86DyAFvqIH4MPXZXcI4PtG8CmzHUakfAx16FB82ALKfQ8ohObi6qvpp6Yz/N7qlCGdMVUEYobspRp9GYkEAVGh4clXZZm67OTVfSM/RdSE8Gi3oedguJhaJCjg3hCgG9k4oXRh71IJ2W/7oowCbi5s7lWwTd1MUBbn5pWY+fdGnyIYdrG9GxneWlrbX17Yx2jxZxRjTxseLOHGwF19SML2ZHHbYf+1YYxGqU0Rm0bjcnZ+dn5hfrUlI000wKdesEJpPbOzt0bNzDteBfrFOXbqbv64yavWmvUGlOYo+xqdn+/iYWst7Y4aTgvFio/hQtkb3mB4DJK+hy0VT9EUlQP5q4mynT+YTxIId5DMCBEkci08mjEm49GApbV43azwEfufNmN6QCWA4PFh4QJOYDcHZ0zzHbFbalpzsPkLs8POAOyg3hvvt45pqRnfn9PpWJKGam/WChYiIAfxxE/7d7pYu4sJ9F296p1jAZXp2ZnqxgBbjYxrbZwpAaAHpHUwB5MPckl0gkpSWQoGADGUdxsVSvj9dmp+anqdntvlePXjp9nDJxistdKRZcLMhDmx08j0P7Alm/O5Efz1MXe0M3zIW4RcJEFiu2RjqkRvjuYdBbzZD2toaTZ5B/IWLa2JhoRxOqLQC0SBoMM8BlOgKaADmocHFMKHawIECFiskjicQyEoKqYJRLIIXh0mRWouYizL0cdJR8fD1jziBvO41P2UUkfWA/0PWudjNUPxTFg1xNzAK5kZrOGUXVdyAYy+eQeubralTmTA7JgQBae2Ns1CnHiJX5gDgKv4DY24q5zolqWKalgqMbPvjXNhEM3xt/t2nAXNXJ+IWGxFXrWW8Bs4O0/efujP/nBR3PTtc+dW8B3bV++sHh+kYu6ZhoLMajATNl/92vPYcz4r9+/6WA1cdQVBorkjGC9SkwLC2DHQECPbq3Z5qrLLsBAu3TLCBVaBjCbRph5cooXOer+m688cWZhEp785C5utaRSyvY0hsO3cWGUe3SiWjqqJ4BlndZcxPkdt/hQ7f3PRpHvxAwqMWUUoMDiVoKIjmzP5HgH7OAXFp5ybJPeTSbFmimTT7lSDuYpn8L8Z2MMFoo3wwTdKRercx+YeJR4V0kmv5EKEqWCtgOVikwVt6xdMpAkLjxjIYUNT+XSGcDFsUPA4cNJwZwxT0SzQqYIwfxEUIeoGAUdIGEhZUoqeJw1M4kpv+GtgjEsZq41oSFuBaA9xHIuimFlgTfVdBx9+80vXTgzP/V/4KC4vWnD0E61d6A8KDOcO7HTV7PNXplaYgaLw1IwYCvbccyxeFmA+6yi6CJxmx/I9JXnTsFVGe/Y2NuX7zTbXb10be0CPqMW89zKVvtX19befOE0pnGbFJbXfv3i6e/9/LNWZ48v97BFyLXcqUbUPGIVzmDxugqJs11xtKO5BggUMoHfFiRyLc4EkaXznIOhWhc9jp0UHwfQUTGOs1DBlhMBDegPjO+CRYycbJkTVUMmTs5PRyjrEUSHLPYxsJ2c547BuBHEyAMjDwQP4Fg9nnNKOVA5NWg/fMTed6PpvmulrhQB2SERmbmhcCBZCBHrvpDDOkY+w++drPpMXjjCcHpNQZABgzcoVqcOcw7E6c9TsfjzeGVusnp2fgrYGB3guF2R6SGmxM5yxQAJw5YYBcEWJeb3jh+tMh+1uuAgOKTQEDAGvH7nNpy2WOG3dTFkGxRV4c3q/NT0/O653W6rjVGmXcy3bTa77RZeKcDUw3RyIb7Oy4/7Vidq+Kgw66LWqNbrNYwu45O94/6GRPcRpoIWYdRnf6+D0d+bN9bv3Opi+m9J3YJddmOoutGY5iLV9vYGATD/EWP9aOA6aPpWeZQZRUNx40hZfqCVW0hx3NiAi2YJjIxDSIk3bIKAp4hQoPrckn2Bt0AwoQHkHtklClMS7+8UYj8hHk6DnP5r7bCnCsuIAYiYsWcxU5XbDsgOQL35euckduT0DkwmsOaDgTIDGbjYAZ6FjI/h0NtubmBCcL1Rx5FYx4rQE1gOutpqt/E6jFaAGASWGDiIuZBflMbDCQa3KwjkCHieu7eLScCV2nh9soHPWDU77e30PK5nB4aI5uHRo2HhHKSS5OQ/2LGzlDeJKeLRRsQtKGUNmVTy8OFXdB2VjPjFhrMPOPRHBAOVOsCaXr6X5PQ4LV6X4w8HSJQNmhadNCODgIwCmgA9e2qgUcHQK/jCmq09uCIFffnKxJ2s82XEobO1Vx/RR9HH2QOjBvE41/6o7A+IB9wVo9A56X0lsQuguxbxEpnev2blctdfPf3vDQd+u3KELSi6K3G4VMGxLl2w3ZWfI8EcutY1XLZDmobxqrW+3Xn78m38ADQ7Vb94aubF8/MYDH727FyvNaJPzU1+68tP4TMa3790W++UAUgXQOq1M5WZR2upBaneAesn/28/+Og7714NLEQzGLe3hKiGz9VW0TEgHSxWXOuDcLSEvRcoRW6sGEl2N6zDIS8EhUeKoB/5xnOnz81P/Q//73sf3tygagsynnUBkmjqJiFld5HG5pjpJjE62XSnzgtIcXEyDnW9zB821gZPgBMU1yUTcJ+KQL6ZYSu2UNAMlg4kbexJMMwwZlcoJCNnuqzMuCSGXBWU9ePKojQ1BlhK6EBRJJEvSzgcIZTlA5fdT9sGy9VE1Bogo+IVLQcFVUibaZ33DanGyy3f6KZWQNiefPaniqdrKttY7zntqGNZda7RbE5g++WXfxwsUlQrOAET3weRkaVjiiz43wdavQofZmEHDyR0JhAKXYThQlWkHK3Sk5ueYS6t5ObYQr028cbzp88tTP333/0lDgp4EGXS1hda6mgej1vqDUVCVPaUGgMucRu/fEWPByoBOb/X/lA6nCqIJh1YGfuVpxZiX11b2fn0zmZ4b4NA5oZo+/blW68+sxQGgKHh6y+e+fv3b2IAmOchclKbcyJbGo4IU0jNArRsa+dJTUWFBA8CRRShCGRhuG1FfMw25oljLvShQK09HMySw8gcTMPQ3Icq89DoB2Q8Yb8coaz9RE/A6hOAPGBVjNhHHhh5oI8H+p0R+og97Fl+DMl6qCgN/cB/dEjYJVGvhyT1qxApBN+fTB0YUnbqC0mKuwR3GT2LkZykKOPtiCRELqSNik5wZXx+svbU8hQ6zBikw0id9YB9/qO5RzVh/BFbzhnD/F//SuqjWdrhS2XtCW3R9foLkph929xZvXm902wtnDo9OT0zUaupSw5OCVfG4NiJ6Yn6/iSF0ZgMqtCqyM32G44YRHgoqU2DzgMiPigA0Gm3djY31u/e2VpbxfKvlkstTjetNiIik5ON6fn5amMSiMLCkNZ+q71DQZqEnww2+XhrEKJE0ZgD8R45PcgFYceXWTCcYIRTEBChQI0k8tGUN00F3h5k5Cund3ZAKI30EUYW2gEaERsBEqFSS4BK1GekLFYiKVJfjigziuagDpOTgyhLJrB0wnEFzJUZ50me6z/jPYtavbWFL1J1q51djKHWqrXJmWm8h9HGSu47LU2U76H4aCblpZF2pHxOD/XuuAE3XuzH1OXxiSoWgl6eqe1ttXc6EQjOJmpDaFG8Uns1HhaceNrE5xOOwr2Peybu7XENHxm53AxLMeK7voFphIwzkq3ZnvRAFtKeHKD0rCZSKgabC2EoUR5tiUMuy5JeAwtPZqS5xz9zXMplGJ0JCyE3RJzFKhblEwQT0okcCky9oxkjtjzd0hITznIpVRCJskfRx9QD1lDyjSl1Rv/clFepQusr4RmRHlMPjBrHoIrHSVw988AHAo9BTa/E1E6d5V1mODY5zJoGXgUwIVMXDLIZJrbq9ztBuyiMj/OuDDlcw5nXDwQQckHkCpdXBo9d57BVnx+6SNI/r7wag8B1lfMMx3Hbh3ESDXSAojEUbVL4rWb751fxW/lXb388P9146cLCm8+d/sKTSxhhShnHLixN//5rT+50uu9eWdOAhpWFnQJvBYpFIzBComK4wrJQISpQpvjSo1Ep7V8VoxfMVOc5dizMEBv0RYKjPxjhUcx0W8ckcx0B1SWBJWCTHrolDiubrX/xry9hVnRGJIe4IlasGfbU0gw+jPryk4uL03VVopN46tTMH3/1uf/5r9//bHWHJAwM2igQLVUxUB80FnDs7BhqhG1ZrngONNmlWcEVigAHxWbRjA4F0sk55wBJRRNUn5DfyYfeIWSdYWy98DGKoLKSygqJC049SrOccrCHLO7le20IpPYuUTV86mQB3J4M5CqiiOLo4HGu7MFnpto9sVioxaSoTAuVW4vpASBXSEcMIgJuKSjE4tMzjAKcCTuUSaGdnd19TFVXhTg+3O3NTWHiLtb1ERMdHoqrhmI4ygzohi+FLDUOGuQjsjSD8VaZQn4GDADjLX+WFAmrTWlGyYGm4kMxRKyhiIlySeBB8X07KFSxWWZsUcUdFKdn8dZI8aD4t7/+/P/0V+9fW9na5xrTqlxaRd+rbYpC22QJbaUPzW+ZwiwGBkmTA2WhoJDJoSJih/MnmqwaLb2i6mWp91+/uISp0oEReReWpv7rP3yN3/+Vq8iN/zRM1fHZneRz6c+emcMJcKu1honDUGouHedXl+le304ckoyk43XgA7qowYhWLvK5oIqDOFVEP8tN6jsukpc+0L5gU4FwILhHjzmrlftXtvtQJyei8kHwJWrxRMp2oNaBU1lJkHtKc0qYR6SRB0YeGHngmD2AThLOQOzL2B7wOC2pG8iOmjtxqWsTa/Zndr9XHjswIgQq+1o5WsizrowlxebxpSxi83SamcWdxoSAbJ1O2SOcro8vz9ZmGhPo83W7+IyRchL2oyTylhwF67hkYRPGPmx9WQ7/am2g4wJ/wHF61odlhNrv0wo4Btzc7dxqbW/PLS/PLS5hkBV3fm42sBPUkYKW6HrlvdRGatjPD0mPouMEN8ZdTFTc2cZnhjdW77a3tzhkD0fbIaPbhCBpGDCnMT09NT2Lb51aFho2AFqbW90OF7nlgRyHTN5RC4TA3SOnBzmIWURc3Bg7jRhOMMJJBXzK7yPGntGUN00FoR5k5Cund3ZAKI0MKQzP4IfDs+yMVNSdOrKYn5gyIDvUTV++3pm9cxIryhOZcDgWyxkPRM1Q9bChgzN9B1//xVruOBd2MRrc3AGpjnnAkw0cMhh9x2sc7VYLbKiCTFWEkxEPEssDJOkkMRQqp/LsdZudzlhzcm52fnq8053A8HYHY8A8wHFqACZ+jONsoQcIUXF0eumlSPI+0wEQRj0AT8c+sRp8dl6CYsQ9hsgmS3ZaxCw+uom4zFISiRJLkznokaTpdQDGbhLSSQVI2s7zm0ecWaaDWbGRQXVA9BFx+sTgvZydFWOwQMKR9zHPAbR+FB5XD7jKH7UBNoCRFx7Xw+B+lhutLlyCsguLiOjlazDDmWecxpOzmE2XKLzq5PvgvmGHawfHgOyK5HXnHvIDiIDamm2WhJzASQOahkR0k55d7CRmgmaPA/H6HJAD5259p/3Wh7fwO7sw9Qdffvo3Pn9usuZXKhLac2fmvvjk4gc3N9udXdkFDPw40qEdmBRTni780IyfJuwJIWxkp0zQRnTIOoqnWZKYLgN7jv3aMiARF6+nSLILQSqjGu3iGDhUoReVt6G9u/fp3e3Lt9aDSRArvQT/+OO7wH1icfo/+q0XUXzO4/ThCxeWLixO39rAF0WpBHXCoXcoJxJiKhENknZXOqZdiKKe1HvvyqaiQVBewSu/2FMzthq19U9qjI33rG7Gag5YpsE1GrvCQDXR6UUUFSIKJhHHHYUahY8tLGGiNLBKyMANq4YR6XUReQpxZVG7gZXdEFEWjGSBeRAwWKF5v0qbJcgsDmcc/AADSDFRyGl9X+MhtwsCND3IY8pYtIW9ojgpxVkG8aOI2Dt4UNebnAUczyLFWGl9YmJnbxfydI31tKmAn4mSJCBpCJG5saiMVpKTT1XVi9NY1Cg5Ntfxaoa+8eUgWFAKWgFINNPoBeiSJ42HfC7goLh6Z/vSrQ1fXT7DWYWki+GgQOL8Qo+DYmnq5toOP4RMfipmpUlUJy7FkJyng0gAAEAASURBVOHNo63wnWsjXqnbO2anWkT/eANZ4UcEtA18sAssoRW8+fzpRjpVGrlPLE457IPsvvbCmY/vbHRbe3zDhZZj0N+qEO7MNOYhg/n5DKWRS2kUQ5tQmlxEvPCQb45ethRzOGLBrgJhOJzj52JrOPZwIqBm5QlC34c6uQ8qk8o+jDeHlbnfZeN5Iiksj/pRGHlg5IGRB+6zB9iRdS+y6RzFDTtk6k8OPE2B285sZLeY30Uwnikuqnq6Rki0hC5czGxxhx8ycukoWalVx/Gy5KnZOoZZul0ujRukHtUIio+xSn1xpoIuOEZ/70mZI68/aJ6Fafih6q324Y7BHmFrwQeBV27euHXt05Wb1zExt9NqcWlZHiYCdLBCM/CSreVqS34cHCYGWxgwURETjrfW1+5e/+zGpx+v3Lje3NjAcBXvz/CTyWZswOadVGUMo7+zi0vYVvxq0uCFbHN7B0vgUkkIhfIWCL1ZLae3QJBERFzcGDuM500tfsMG444ERChQB8LlEYoChlmk01w6/UBmZzBejh7oF5iNWzmeKdkI+rEyz2AdmyV6igzINqwEsBzKactnDoLP82fpRCcTPTRkEkeI4ckDVmUHANfA5/1/BffqGOtt7ezgAMGBjCcujcnG5PT0JAaJq3zXm7V+BJOS4gXLCWiglh8yDhLB6g2aBIw1CeqVsfmp2kzdJiIE5AxNx71t4lOAnbMytvIYJACJLfsBOssoFZjZXrPAg1vnGRLNFGU6mqjcOBm1djKI1REdguQCp3gCg8vL7Xw29j5qMWk35iRPJKmm2R4tRIKEzynbWyFtq3w9tXGcvLUb2KYz2dSXDiNnzhCnhjIzR7SH3wPWdh/b7cNfgaMSPCYeyE7pLDA+NpQNELohD1xv7MSObbiEMOI6HBo14ktb+2MYWwQCgXLBvleR6iKLkHXZMcCcWCGZ7+NYGrIJNAZv/vnfffi//M0H19eiCbLShrmwTy/PUAC3KNiZsYBJrn0JWsGIlOBNYk8YvTTgaBNBCJ1szNN0YmVyg3/JI8f1R8q8lypMUpJOKCxS7sf8z1a3/5tv/+K9a6uwLvBjePXVZ07NT9psadJN/UGMyOnKkpw+jBEtb4ySzA0RxNURxOhhYOOHn5AkhQO/4EdWsEtRSyMHzwm45X9QhBfHJe6IDko2aPAJdPuZYJwUjN/gwQueQiDlnWVGBjslyFpjVxMJbbhnP2qM37h1B40HTPUaVSCR/Sx1ampE0Wg8nRM7MEMPMRZTTDSJGpiEf+gZWGVOlYc1uu7twvAlj3dwIrCJXFvd3sm+VE3q8gyWIFJ1GBcN4T+MQjOkXlnHNLRgfShql/+Q5NivqpRFrJya81AEZrh6d2u73bG4ziiMAsc1cEIpM0SMtbClvqyFZ7ECI6vq+ur2f1t6UDx9KiwhQAv4g1HAxvAsvWlBESo0owLd5/s9WRDgXmdb3IxAc25HNj7Rm9XB/tNLM1j5L/5SMmEOG954/sxMrSYbeOqjHiTwo10qnEtDAVuD9KhZOPtzio2BzMYZbXOcj1mS7jz2Hyrr4L/h7IhwhxM49sKVAT6sjeYwVR/VwHHW8sPqwpHdj58H7CLy+JX7vpb4BJx+ApDDuSgsk4LeioxgzxERnFt9fzLruTlIb2x+bwDGZF1Iz+FtcWmPiKR1knJ0zx7teyBFHCGK7jQely/P1mvVCt5Zfkw+g4sbCcxuQ9kxCoKRg/u2+HO+okK19I8cUqwE1JDQrqxp2baEr5SEZs93/ls7251WE6O/W6srjanp2uT07PxsrTGF3qTgyebjjCRYPIL4ZxbYsmhKcHRqr9vutjtbWxudHXzZs4nZxvigMJ6A4H6Q2CYnOHcTFooDNePjswvLswuLtXojaMSsQMwAxngyn6EEQwqlLhACQI+cHuSimJlMfwQRiwRjgkw+EgR8hgjc4H+wuJeSr0Milwr0gjJT4/PLsn1ez32oLrO33OQU2Z5NYLTeN1ADT5hCwmB7lShF6GmkiTvMchMhG3SmOCm5p3Qq5FNO2LVkTz2efWoYMVEZFb74gsX+8QSkVq/ja9222jPfhsFUYEwO3tur1hCq+LD3+AQ+szu22+qGSjyQYUX9ThwZzk09WQYo8nI4onHGwHkIz4Yma9XF6Vq7u7eFV9GTanAJ7CSXqXdaeFbxiCCR3URE9GKkmWgAiIQEFdIW4eEeAXlYnYTcRmLcOC1BmUyNiGlGEPOtEtmCAGyuNI6V8hlGJE9JC8o2Hhpeyu15031gDQVO80vJaR2xaaZCo9TIA0f1wKhJHdWDj6T8vW4W91rf8VYahqL8U3tcJ3F9wb8btuBazXu49mJ8EhNQ9zWtlJl4oTj3pc/Zydpso6pZiv5ugLcIGt2huXbbQAKvBEpxdWCpwhd7MEIUT+zDBcVdMNhZJKqGgYijpWgpF5yOOZx7lb3p2sQXLiw+cwpjtJBm+OT2xs8/Xd1ouu9GOH71BMihOxgxSsLj4X75e7/4DO8O/1tfuXhqVh+7ERMGsZZmahC0ASm73CrHbUwrRmhsxjTUOTtiJqrlz8vwjgWaSXE3D7hMelNAQwAKfuLBXsNo1OBxrG/jVImR2FEEzIUg9tB9IQQh7QotW6x46sRAeLPZeevDm+eXpmOHPHNqdqZRXdlqg8GMUceeFoYiyFqVTjyxHVTTO7B4airGQjeo4kIEJcCIF3j2aDZyWWQ6n/8Ucgw5FdIabegIt7ixt5BtjW3O/wkB9lAD2Z3bAAI97F/LsKBneXYSH14Fo+dThdIjNNeU8ChTjHhANVVj+5PVcSzbG4/bgcEKbpxBS2lEKqz1UMj7imSKQ6MaC3XnAs1jvixkXoBKmXGHnmWJn2cM8BOfg66sh09XOAA8H801/fwTC3/z/g1M1TURyLCuWGnQA0wkueeWym34Fvtw0IsItv2xz51fmJtM1ii+cner2VHzBReNIRo1sDimg+IIVn/ytxEKW1NvHsfrGEAgjjY8CVlgbSHgxFJyUJyenW5U72win46hfPAg5y2bedoTQ4Fm+niyp34zIGMIR5SqjJ/9cccBSorbIof15nOncmsYJMAHTGDh61eeWf7b929gfW9Z5EvGMW01KfhdxVSN0v/UINcVVSmPuShKxgJJPP+hs9wvCPJoJKKTy8UD2/CRTKmTKRCGx3pUOTNnD1nCAwsMwD1CnRzWlCOo7FuYk8Ltq3SozJ6e6pkxGFZn3sFsI46RB0YeGHngAfBAGACmLehystvF3ox1F52B5WdEcVnPhB0UY8L53jpFBhOXUAyeL8rw6H7fq0fojZGKSD6JokONG7NTc3V8OhH3J8c4ETYzL1H4QCRgG95URYBvsLQpRn/7XHcf5IIc3puhVKHkR7kYVzBJd3cXnxHd3h5fXalPTjU35hsz0/Axf/jHerJ8XRnNTe/tZnZX+CI7RqH4QVJFsSAUYpyciP8uphgDc3tjHZ8jhRCE7R/GmuGZ1UmJeIsxPTfP0d8Gpv/aPR4+FNrd3ljb4drRnPioY0/7aBP8MYAWsssEQiYiId9M5g0sg8xFHPtgueWUbANGBIeokXECEcJgmMyWBCenMFIWciKaVxry+kfE7sSDaLmpjku2gQNJ3EhzdTYcpDZB3wrqFAZ2pMWrxyjl1sS85RykiquM1WhmUw/xMrEerEUyhHn7HzCULrIdkBLgesjheMNhh1XVG40GxnjxuBQjqHbF0Tmxs7e5V2vUsRw0FoXGStFYL78z3mpjWHUXD3WHaLZFvcGkEMkK7bjL20YRqoxiM5jbrWZjYnquMd6ewkeNsXq1udO2mZhXlNCR0GMY7EPgIwz3fMXI9jTCX5tdVmDXAR0RvR46TPJhz6k6pHqCQSBlJGL404WyHB93ZFLSaEyCwEbkQtAUE43ZOIRNHBMJEZeL1uh0Ww57OS5ErBnRZ2JPjbA9yoskIr5c1PFHh0GOYZQceeAgHmALTK4YBxEe8T4mHghnzMekvEcsZs5dSAaKjaVpSyWMMK/d3kOXgRQfcMs5ax+PNFleMHik8goACgfwEGGMEhDF3l/E8VlPfa7SYwG/s9vioI7Jen6JQhZXMY36IVuXJbJV0N155emlf/DSOUop/PCjOzdWdzBOI5Oz66gZYVdCWKjrGna01VKQ/sXV1ZcvLPzWS+cd1tgYBlTwCpqSNghjML5ExpelAM/SlgZPVynU8eD4ibHTb+Y1iCKuwiLiPIFI0BGxZWpCrgpNulmbcSQxmsIxVA2mqlJI0M2zvWVHExi+/+Gd33zpiVOzeO/WqmHs9Dy6mG4xXpqlMlBd1ksw1ch0ImURoZdvsrIg33vIXEUfWWdmfH+cbxKwWdBzUKnPU0PWUkVo+Q2ZtIaG29AereYINmiI2p9YMgCJqIk4WgUfoHXfLApcyzN1uEXIorEQFFRABDeuyKR5oDg1Gq6F5UszjXq0zjYYtltd9NuDfECRLFOQor1+SxIDaXb8oVmxhNhqfNbxGle6DVoY4RuktBHWKia/mMGSYil8IKNVBhnGrt7GlFy7GXccz5+dPzPXuL6yvYt1immYZFmTZECSbhfVzKP95AGJh4UbWN4fe+b07LkFjJJbu6IszkKYod7saHFp1wJVcicKFPqasHS5UE0nt4XAQkEhD15+Mpmi9AD5iGpti4byv+ygODM/2bAltp2UCkDeyhjud+lTK5k/TKSRhhUDiEanYvxL0M6cPMpIY4OFgbJGI6pEQRP68sUlvIVQhDw0BatAv3P5VqvdxWxwFZ7G6DThalFNGCTa2j/At8bgIyyJqo7l6S+LXHPGEIw9kTIdzpCM0FPm/mUMdugA244MMAD/kcmOmsGx+ky4x4p4cJeflPrIZwc36mGWQMFPyqcPs1tGtj8YHhg1zz71kDtpVdmXQkBnC5HgOaTsCO/f15AsJQ3EkCQYyWV5WQycSIBTpIQuEL/xOdgP4DSJCnp+p+frC1N4TRIP/zkdzEl6xEdvD8dgHBGjv3CRhhpxo/H4nZ5dkeEM37UevqaTrruJ6/ZMTQ7OxGrNmGWrcV+MK1XHOYewVq3jrX0MMk3oFlF6qZH3BWx5+Bwp5vvy89MYSe5iSBi3P5xNgPemsaY0phNM4GZCxnp7sxLElrMmsQbVWGNmdvHMmanZWSg0Tgwqt7a3Vm/fam1tOdm02tOUgZbRgrq+meDy+d5Sn3YZKI88FvDKIkGmAAeCxIeCCbZEZuXURZriHJC9lT04jNszZbKe3RUfGUUex+1ZaWZaHrYWtrfkII3ZCWt32JnmXCyw5+hRUiyD+Mryy2gR7sCoUxxgEEkdMBChjCHAlWVmNAxA4pDrdDC8i3c0ML5bwfhvCFpJEEuvc6316T1Mo8cs4epEbbzWbDVbex19KaC3IssBXAmLI5XkBOWDIz2k8eJIp9UexysnU435ySq+17WyrcXigVhujS7HHq2cxVkj57grPUmOmbI4AZZeRnBhV/vHkyH/2MuBCQC5Sjo2KfAeM209cCnlbTaELA2662IEDmcpOF0sI0g63kDWn2NZLtovU4JszNw7ThDKGQI7TN4ah9ZTlLbJAonH1vQUGWWMPDDIA775DeIb5Y88MPJADw/kDiIkA8XGeHnOR8+BVJ7EscclODcAjCVeMQkYK06xE0F2fZESg4v+oT4xeN0QuF0jdRmBCgwez9RtbNWZuNPZxaAOcCAFBgxl2BbZiBgRW4eGSGUM/Pg5ee2mMGRbr9JqHxg3UOIoR+MXtDjrMjCxut2yua1edKwBNI13OgB2pay3HlgA4y6I5qWQEUeklQRFwKgrM0EFzB4H+xVyG/HVy6B5cII5L5hKffRCEoAiZBJDJOEQ3bKoS+rMG84U1pPT5VTsVzaa7RsbOxfPzIaJ2vNTdbhXdYgZ2DAKLUPjjt4k7K2yctqRFH6RnFKK3SR2XCTqstgBYU+GTuMQJ03Av1hYQETKg8y1LBSAAEwghuaqWa5M0rsegQyK0wC6CQRqRpPLTYWfrE9gOjseReCjSUIVEoUdmE2jR55DohLkcg72YlgqmfoZ8PpCByPAlpCFiFKxAhoFDZadVgLTYcUBO4nWrlwRTS4Y5pIOjKhqZYJnZcIz0IU/fiqZo43cMlfI3MMaBDZY2qWZ5Lc3W9dXm08uTYemghHbL188/cntrbtbLZmkAggHMQ5UCtU2wgxmI0c2YDM29msXl+EiREL44Pr6BicWq3hmFLbmW+LTO6oqSYjCmJwlUsmG0vp3I6sECEaonPQCICqYGX+zcFBgBrD5SNBkQwT//Eg2dsSiftua+lJzQDR6yCWIg2MZWTYEANpMadGQfvWp5bkpLMYAdhd+cOn2X/7k6nYLayE4MI3domBM2tbzcg8n/5ff+hIO8EDEHG6MbW82tzAHWJZTvTPAMfEoUuGsZKoG1W0A8REwyMGsWscMLKwIVuH0DVAYmEE/+yIrJbohq3IcrwQOsTmi+CE0DhRx9TOQb3iGky1kZG8UHd66B5Pz+H02BOIh/Tes2LB8g2pkiJIMghjljzww8sDIAw+GB9BVUlAnNvRg2MEbENR9YT8rOiVCCil1XLy0z/VqPJ1sFpTj2UDKolks4zQVTjS/QxcTQ794C7U+UWl1MPXy4R/9zfsgX2TksyvK1Z/HOfjBuafZLVOe+9FMW0viXUvWqoYuKYXt32AoGJyuiBq57nn2MfsOw0tjOzvW3/dKJOmBRKQg7xUYcOvDbzNPTNQQwfAUb7BADLcj0G+qg1qT81vc4dQajeWz5+eXT0/UstsSDCSv372zvbaKee7udsGLGJ5PhT3IUh0IIdJDwCyKMvUIwhwUg/WwPMD7iEfCng7w5ljcYD1r2d6Lh7wCwXJ6kCOxQRyBNQCqiKwoRAYUNwZPWVlQaxZA8ocp2A0WugadeGPonI0+KZbefL1zPMBh9+XIqQMOjl2O2hOHs++7u3iUhY9p4SWNXTyp3deDUeDgQCZapdtt7+CL25PdGqYCVzG9fwpvdbTwkWAw45JRpjHQQsSzZYSeNvXJGEIaLQUlau+08ObHZK0xP1XFvIjNVunTRTgbiNry+QLR+c+oPxtZPmjKZ3MEW1RJUdQhpeYTz6vgoy93GjPNXruUUIO0mKoAw2dr9tiFQk4wigZGRZBhwSJOvZPyedm+mEHtzFdPBdb60srGUMSiXIbpYvS4hMyGOB/FiR57xTlpnMqtHIGeSwb6KDLywPAeKDbJ4WU95/1sifdTty//A7EfOeIeV0N8cbLTs1EQx8gNnsvjphIDhBhtwPmfVxKNfeLuEutLYQ2gYO3cZBUfHrqz1UYNshKBYkM6uvzousGLHbN0zbMLH5KzUzWsMhpwEOFork0itPEhWwZUHJr+J1ze7hDDrvKtXXzLIhkAPrc4dX5h6pfXVqHSzg5kdsoVM2MQNRyZpowx9pn4jZIs4AJn3VWCAcgMy/J1WZUCTh10w8tRto/Kfz4hw8wqT9Je+I4S4rr08vIZBNSZk7NBUhHNy5D0hAQ2JAyBpbZ+iJXUwbE/oxZgl2riKuezFU61DKN6IE/VedOtEX/wyJsskWw0FdY6nLqgXhEjmtlpTkjRCiTQELPg4s5AFpR3ZBo+Uj/OjAa4a6yZpItRL0BMvUXYdQEggt5Pxp4JG+QjlXFaId2hVTDd3d/baXGdKw4b+4B50vAS3rJ07cvlOMshFdQDF64VgblLfG6THVCgYIhRL0IYtEdwioALYwK/sJzl5NCxbN1MsNE+HXEEyWx1UGRXNFOh4tNAK5l5w/uEbPiX8aZX1WBFGRt756PbL5ybPRstA/2Nz5398cd3Vrfb8JXJqfUJO5ljTI1mlFqntBC78tTSzOvPLufWf3778u2VLS4k5o2hqLVBtUJDire0vLT8xoS64EGhA1i+o9vwYyODGA8XGkh1xNnvcVBUdq35qXrZDHQG8yVTZTgEqXVHnpngthDFT5Uo9dLHsx8K5ozQmDLmR/MtG5klW998Pr/+89++f/PjW+t4a0clApoKxISaHqXkFq8fn1X+8PraqxdPhcnWsPyrz5+9tvLxdhvv8dMVdBSdIXs4FG0IhFbJ2OTsIPSobi8bYC3NYAHN4SYkpxqfFVHNmyVHoPdlqkWCMy33IdyiNIXgylqg33tCmXVFK+6tvcPZ5Nti0doHmnLCriyB7+fOkjwcrw+0A0fGjTww8sDIAwf0APouOK/phw3Oe+hfZCc69vWylKBdEruQYRHJuv5PzggxsCPIAD5/enUIbsdMx+ljJClELEgbRAREHvRM8e7p8lwdt+UdLOqJ7z56PYJINylgmveQpTDRDeOL6Flq7NcPKz1khTiUuaxEPWxgUzhwjUoIPfBcO+plCfB5bFjAmDu/2ou7AQbsLInZwPZjkq+I4odpv/o8M6bxYuIvpgVbszRzeQcAhcIuUYy88QpGp2bml6bn58er2ed/0L5bW5sbK3e77TYhcDMRHRcFKMs0TVFmkIlouahYMj5aihRv8GR2jrs8mYln+aBFldbLAZ7fEHyKkvpFBIv2IEcCvTkKYDEhq6iYmo/3A3d5mEeOG2IHFzuynyz09M22TG178AWOvMkuPSi/h1gwDPK0keWyJt1bYNicHiXpL04hDJd28Ry2gik5ODNqSn4ixCccmD3f3NnZ2GjubIMBHwbGV76nZqcnarX4+gexEiscqSQnUdM/cRBpuHS322m3WlhaYK4+vjSNL6XxGQI1ZEcOYgp8OoEIr9ye5DKiI9bLWo5tRYOM7fkMIsp1ekTKNhEDo14iCMJyBOtkMIagFuKj2gduRMqggcpzjvI8Lx+fGIjLCIkIwjggaiUii2KZZCaFHCkRpchg2hwdO8WKbBEeoz24eB1BnnL1RCgRwwUlSY8SIw8M7wG0HWte6pkcZKNG6WTvdZzHwug3Ou6Hb+f3hDNUiEWyy8idzdadzWZswwvn5l88N4/ej7vcRPcjPAitdRMmYFIa9wbPn5nF4q4x1OpWe2WbH5f1gXoz3Uz4i7sB6mXC7ebuTidbexYL6l48PYcxabBHap122mPX98QcU7iP2cNTuUnJ7QTcTDDu/LZv9w/awo9XXHTFQKANvOjRTbqlQoeBC+UwzkwkycG7KfGKk1M/lXSCjscxKFW+scu86gmj1eqOYIMBbw7ogIIIxpYQmOZoE7Tsj91c28nNscZax+iGgY8M+iFOy7N4ZKHnoUAWZ/n6/HgDKR8YD2845ZggAiTy6AOiphlZAd50SWFQKnWUBxLvTBWQawkjIBcRn0kO5EKxiWVbKLp6dzu34vHXXjyzjLWyyQxUM4b4XKSXxhJYufQTXxcA5xj66ZUvX1xemM7eb4bMda1vLNMlAkRMxjUzWDbaJCjLJVb4masILqWkQ5xDiJTMB+WCmfxkwM9qEowUMW9YluJw3YRx81B0x7zyx8Z+9unqrfWmxnqdHjyY+uaXLoQhYdhhSugeHtrSyMMBEZUP+Xq/QyrI9XuvnD8XjShD6sbazgc31rM2SQy2VQTAqONd7Fsqu+fGhNT4dXgAxUOghHrSouOBA5c8cGhDZoBg8fQNfjENXpbFQwhJy422jj+iIAqi0S3ieZyzVa2sTVYvPGcGnZ2bfP7sbBi4Re6NteZHtza5YD9d6UDocEa1tYjTBSLJP7h0q5UuqPCVF05jdjsdSwOgzUsTk+vF24905erMplS6cRZQ2lRyD1keXCAIRehBzHzNpPmeCHZSEoLhHGgboO9r5EAmH4X5UKU8isJjkS2xelhc3xitSQ6/dW1yWDXDNb+ScjwgpF7lpHmWd2yGAm4URh540D0waqYPeg0dv33sQimg18H6Z9/OdUCU7Nsm2IEKDIgIIxAMMDCIbtCKZhtngXFG4p5ue4gKXxAZlyGCBR3PswsNvIiNHpp9fzWVfzRTuDXDa8hwHe5gNX0t+OPRLC9Lhcpn/dscyqwlDF9gduLtlsEGMoeXzDhxmIQjJaOWxPbH8N1gTNHGDSGGf/WggbajnlhVfcwHfmWsWp2YWVhcOn++MT0bbmAwx3t7cx2LP7d3toHhoEp1l2aaANUPCGZmZmPQlJH6IwQBsXm9gToETOBNEHJaPXCOjKTP8fsiRx+K1fFQ1ZyamWImeVaJGL/nh7r9nauaQirElLknEc8zRZlRNObqQTYWy8T2MCFCNk8dBqRMJgIuy+5L41lhr9vu4HED5tz7R2NlIntjWC8BH+TeWt/o4C0KvD80NTkzN9uYavBxl286iaQz7Cj2leImSkoTKlQXa0HjjXesGLkwZc8eS3kDMbo6B1p0xkHz8geg34uNzyIsoH2GuKd4EpwAeZxKPYfbg86YZZsQ+SymTD4cyQmR3/N4mWAdZXHGzo5DCgvAo1hSKacoA8liUo4kkBDAnfDyRjlHykQLMYry31ugZ2IFLk/wXBBJdAZxz+j24Uyfo4+SIw88eh7A0TH6HcEDPHONfof1AAdjvKzGejjkw9pQjdj9sV2aSDHmsdsbLfziQ/H84tSvPXvqwuI0iBzroiDEgCwRDOJwHIc/XPzIQLbK587Nv/oMl4uNoW6u79zcwOgyZMGISwalOMbnEJASFLa8/Dr6tbWdz1Z3YpyvvHDmNz9/zqYpg0+c2MgA7GgGEVwWIF2oPHVq5snlGZ/kHoN8O5qUTBH70RgXdEE1Txkly/Isxb06AfgAL8z3BXLIjpdk5WCLQR5WigwWnbMURecWrtRWXvWajIJUiLic7AqsXitcy6syOxi4OUOnnJdyds1VVIhbdH0bn2ZObhcxIIQRWYHCF9ASfqA54712ZMWUwInIwICKyngUZ9qocVbGdISY4Rssth4fPmN7gWLGbCMtn9zdxJd6Y4Uvnp9/89nTNlcVvvOegRT/5CnAqPFhKFWSSH/1udPPnpmJp9Qj59LNza1mh23UlFpTYdyFxKfSFNcEc73zIGLMXjTbC5yQ9u+2QNMPdD5fcUni+TiOHByVHLrTkDbkxThewQo9P/5kZS15h2PstWeWMQa8NDNJMyHFwXwe3k4YSQ0o0yXM4XvCYqFZ//jVpyCOUeTM6LGxtz68hSnFZrZVEyxnq2WLBZqVXpaDZGVh2bLmH6NZnDWLPzeJwPB4VEAKZLyGilzVvutDbxQPCvdWBLVQGwMQuGPBjxZwhMIIQsFzCCqtkkwhvPEcpv+i4FnAJGksjaBSUVY/PokREEECIOuVFvJ4xxxuTG2nAh+wLvQXLizifjKbYCHt4tD73AIXu8Oh03OBOVkuZNUU1IBU79IuBiZR3WwMEuEi5Pb6gk7YeA1CdB1GZDjID/rScCDpk2SmQ5Jfzn+HSuYgTyh5KNP6CJ2Qmf1gfStKaqCfQFpX5Zwe9CAN9ABNbFhb+3h6lDXywMgDIw8c2QM4AR5PODagIcxxd55Uyf4I9lmnx0glIGRT8HvJkuIIBQbRY2STj7YBKoJx2ZaVMESCshK3YnON6pk5LD5UwTK9HAp9xANdjIsrhxYnquijY73rR3/xZ2sD1me3Nte3TeWbQLh3gdSBBBMgdfwTSu8E5v7iZo6f+8WySFyclrbDDNPes0lLRYVzf+cWl0+dvzA1O4cue1DT3FxbuXF9c+UOhhF1zIYci/QuW++cGEJcjtVpHU4wAkkFYkQxgZCVJxLz0VQc1ALBOHuQvUDvbK9I+xJTXBUlbKWJnirKMtAO+JQADWCYVlSGEGzwmX4fMkKkkBMXs5AZxIaIeOFhCjEEnGPxqMNLlHLi9t7m2ePY4xwNfDM7u2tPJfbwWvteex8LKO42JrtYDBqrRo+PT09Uq1hyGZ/vhlzW/oduEamOKHWUAuKJ5+4uPwZcrTYadSwE3e7sbXXyDQnWeiUWRYNjW+PJw2dkR15CjOzMouLwbABAVEDA889gPLPjik5TznfFRkJLBCDTmPAqCBbHpQxPdEy1agNRyvutV+vTytJGOdnGMoxd+gwTZAfBWBQtAsaoYMRzyWLRxBNvPKLfx3mK62QQn90dB0hHb3EFbSPCyAPwAJtvPpTR8jyj9Il5YOT+E3NtP+BwFQCTnaMDBRFceqyHrTO9u7aBjhl+GKbFsrUx9KtPLX1yZ/PmTz+z5ZM1M43XLgycQQQR9PwsijTGRKbrE68+vYQx4BgEw2mYtYbFb9VNhE1YXxf5vBYgYrapqdhV3V3bcTW9trKN3/Nn5gLa3FTtd195arPV/Zv3bmDEAzx24IfhE3K6MsE62chvEk+89vTyi+cyHHBpxnPLycsKK5LpMgzaBjeZGkSSgRhjjM47YoN2dzPE0TQjAZ1RGCTP+SLLm4HHwWFnnYMsTTmnBpEyG5wbxKaeEccXmYL1GgzmQCcN8C6RMWtNflMq1sNP1uLGzp406FrtzKP1fqwSAoKioEWscBlQyM5IhZj3kjKYQIT/kMVObRPNhaPW0o2ROha8FBmGmXzMAJvAbPyQZIQE4VMddUkhPKp10ZGDISl80Pfyra3cADA4f/eVC+/fWP/lZ2sm6MEhUMH0UgAGHxgDPtr6m58/eyr9wC3mwd/AqHvXT0iVQdYmfP3QKh+CzWa52Sw9Mt7YXJm8THEfM0ihQwucRgxJuIjet2ZERU7ZX71346Un5l575lQ8pP17rz6JAdPv/uz6egsf7oVtpk3CuA/RSyMcS84C0X7r82f/4ZfOLUSfpAURs1q//+GttR0OAINJbgSOYthidNAZkmEpFoPnsmiRO3oJSnl0z/neiaHSWos7u0Ffw5oDuYNiEgfF+FiHRwrxsEMQiMSUQAxIPC/CfcQUMPdZEFkYFOfhxXaoQXHGNG5uEMGTlcqvP7uMefkBBLdv72AAuL1LbaCqUA5YZ2Ae8chhNqIAYvsCI76s/IurK1+bOYtV3gPa114489NP7nZaRINQMJ5RqzVXWkqYvUG2NEIvSCOauDvqWJZSXlrHH81kQNVQr2tERjv0tlzloeGGE4ycFQQKhhQIgfWEI2XWlar0jPfAUq+q1I5jJN6DopRae5jyHcLWw6gptXdEHHlg5IGRB+6RB3CqO4FTl24U1PlRMYIGait2Rni69T0Udl98IA2iGUEZSTIkFMk2RU4Pavsg58kFAjtN9eo4pv+it41H+RhpU0/PCzy6e80snUBnECPe+IXKezRLjIpnpxel1NbuHFTUYpOIPUAB3jKw0ywEtdWYY8h4ECf/sM4en+A7sXizfA8vkGskiiWAxeVGW+mYW63W5pZOLZ1/Ympunu8FK0Cog5VrV1fw6V+McskblmNbiceEEO+dE1gQyTmINg4n6EGMG1sfROBGNKWYVV565gQWJhgKhL5kL9BDymT7bM0DQ0n3ZEJGPniSyg0d/PO0PC/SPaHJq0zj6AExWLxE5yCSrzLpNDf1FPG8PRnSjL72pqx9U8LhYdrdxfAtHIUXZOLrVKkw3k8Hd3Orub252W638b7G5PTU9OwMvhCMJw8UUYlLZQcSnSOOgBBU0E58erDV3O92Z+rjmGNRtbNC6mym7Hqs8x0TKUMAdEehu3hHZJfhaiVIOxz4N5CoC2wunSgSzTIKpQ/yIWLafRJ15qJ+T0X29MNbIYrEvFSW8BS/V47fkEiL1DDypllryVMlGpnioIzNRIDJA7pMY0RTtIDOh1AFIrAUnK7RbuSBE/IAGiXaNrej3/3zwAlV7pFhH/lGAQ+FMvrn8OGBvIYQkU0Wd4rmvQSWXv3g+sb1tWTGLaaE/s7LT/zul87P4Ju+HGDgeR2S2iDBCOP8H8Pl+5tfeuI3PneWCzhFAcu6fnhj3UlxuE1zvwhFI3UtJz+uwYy7axKNu7vVuXxz0yYFBrwz85Pfeu3pN58/U+UQhdOvwkg2u6TJJlg1Vfs3Xn/m9197Ep2LAIJBuEs31z+9uw0IfuAXwbHrrOH4HMmlhtixPPyhHJrrKDBQ5A6ReduDESjujG4OZcruiJCFpxT0gv2oFZy2DXUpQraRUtPimI2fHBhiYjls0JEECxDZwWefMZMwCqhlvC1ohoEMG1grFvEjOqYLWzEw16wK9GEjrGwDz0DUtRWd6vBmKZjA5XRZJLe1bG4hIq8xijgd7ZzoIwQjIoOysMHMQzREp4TN4PZG8+dX17Y4opkFtKJ//+vP4TWCuqZjus4N1TgrxQpn0l+nZxv/3tcuXjydLXBlQG9dunV3EwvzBH00ggKyiqOCVl4aA+vNRCqwnzMa3GCTpxgx9wf7M5NZUvBGPrY86XAFLq06obLh8J9HJewdH2t3d//0h1dz5wdY8UdvPPsffON5fJwb6BRhUHlYAv4ZCVn4TdYm/s03nv7jN59eTofGsTrx//nDKwYuAR0DMp36EQjtXlbwWgx48NYZJUYWRpYoleWE3irGs/MHhd6KgKCVhG1HJtm2RL3nLMkqIZGbL2nghwBknSyQgElfvLCAz0jHit6/vn57s8UJv3IJ2Sxgr5Mx3qq1A17DwcgDuo7hsQqaX24V6C88uYS1zYEPDkApAgmI2Nsfsgd1b4ax/Ioz3SuAiUedNeTAJAJT9LOVTe7UxGWQzbVGshIF0YcoglLcm9/J+uTelEFa1NTY6Af/DuXbk3XUYPSTc2U4ZgYbMeIYeWDkgZEHHhcPZLd5OkmyY9Or6MzApSdweEa390knnkuyI2NBneQAAnUpZ+Dz/IP3eA93cbq+MF1Ddwmrep78SGhq8WADT4QD65RybeHKmKb+Ysz7EJ47EcNOAFT9YOsNu17jUEroEasrc86hPZT4FigAHdgG0M65jBOm/+ImgUv+7rmv//YWlX2E19zf5eWls+en5xZwP8D7MN7Z7GOt2rW7t9fv3sEHQekCHY/yRd+y9c2UeHZ8WpLbIaQy5iK3xLnBP2+LydvXa5E+i4I7ogVdZbQ0sy9HYM1F0Mhi8+J4xjkscsbnYtppRWIUKsvNkLNY31xllnGU0TJMxYZgyUmkSR6GR8VIEY8zFSzj3fzubrtT5bsXnAWMr6NnB0pBJVsZ5kzsdzETmK9oNPbq9UZ1sjY1XsEHrZo7bR25rLPyJlEAzAjBJJAOI58hMcZycXXrTrXdmKnOT000u7trTa37kFoWUjpteCNYzhQwTQUpIxu7HnV4PpyEiIGDmRQX1wM6vcgfo/Nk5bkyTg+EPR68EFs22fMURmMIijGYIVnUWeGrIxZhLStb3NzwkY50MOFtCvaTmAvkdhKZoOeBLtgKOoLpFbuisR2ev7A3USPDsrjAiOf7QuLjgyZzZQHt0SHEfnl0SvUwlsQ146Fa85HLN6r2I7jwHjnv3rSEI/jhGERDGbOIP+t6Ck77vHwg6Si/uLr6+SfmbSwnmHBqrvHvfPXZ1y+e+osfX/3FZ2vZrWh0psewwOcvzP/B609+/vw8x6SigGWWAfvR7U1pQRbmEnPAwUYcSPRdVF3pkKBZMEo27f3o47tYvfm3Xz4Xwz59aua/+ObLv/zs/LffvfqLT1ewPm2kMIvi5WkMwv2j15769WdPYR2tLGNs7PLNDQxLo2/kL6+8BNIo2xmr80oYeIoiMZaPq1A+ocubXVd5l4NgaIxa2cSOpIoPO9yQizIloViwARGLl5Y15Ab+oNEVS371GBxKq4xxWbH0MoxJmTXMAAaIGWY9DSaxsDVu2dzoFIuDQB5FjF/RaGN5EaEk6qqZOWSXiDVIS+INcAeDnf2KKI6HrvXc4hWBRgoiWOsAIAUSJvDKGcImEDsw+3/93o0vPYUlcvm16RDwWev/6h994a3Lt/70h5/iS7FkJjDqSt6UNiyO9Rsvnv7Wa0+emW/kuj7rO523L91e226x4ikHw/gNWo3kWhtx/mXPs7I3rvmzjlkS0Efr8Gkw2C2DQSaRG3FEG5qDgssqtC3sTQeYgS4yOGyOrmMLIAanW3SiQNQGEj++vflXv7j+T15/Cl/jDqpg/9c/d/b5s3Pf/tm171+6vdmMV8+2bh614WB8+Ym5f/LakxfPzMRftDWcb//ssw+ur9uC5CwKLVCRLAF7vcVBr4+AQ5w+nezjtkQuvsGStQcmUHd+UFPViHHu/EExXcM6yVTCyggPLqSHRMFycQBCq1GB4swXk9/QAP6TEzr83QJ5cTMHaWITMVTom1z/OTlxcf3nNldy5uR4MPOHGE3n1sNLk05uRMeILCT2f3rlzsZWe3ayFryJx4xvPH/m5tqVpmalAwl2cASZhWLztD1toiKkoCgfjAdUwYLNNS9IcBiYdAQay7igPVFCyiTZiq72SRTiSJTig4MVnSAuZDFPGe0P6oHj9uFx4x20PMfKf+8Lo8PhAMfEsRZ3BDbywMgDIw888B6o+j4GLGWfhf0OnqvZuYmNTxJxRhT3PKHLFPIcKNMpbOCIIh6GzBG5RxSvz83UJ84tNDAWijmReBzeg/HRIdMrGBVk4M0Gl36+P6UeonqG8nofHPUb0B1GUPMcCg9MujGXFCWjnu5AgGCM77K4ve2QGxjKoZAtVjZ0DkDhszEYVtrtujulculIF0Z/a7W5xSUb/UUd606DpcDo7/qd26u3bjY3N3lP5A4lL1tqTt/MICGulDVNBc4BkUjKKo0VoSKXl5twkUwuleaY6jJalNM725jKtplMiJVYG/IQKckGcOCgkizhWx8eCCEgi6OMnkhWFzIJT0n3yi9jKqOlokdLOcVBDSLlDjiQmgB3IKlS5gIUHIxX02v4DDDWdK5OdPWJ30GieEtjbK/VxvkUS7U3JhsSnRgbn2i3m11854wPDoYOwaQQGVq0hNGDoNngdZ9up1vtdKeqGAOuNTutncQu1oxOfnpkgmbG4xCnivCcJA+PDP9MK5+FNIWFyDxvBuM+RC1BjILzmV4+CILFEEmxWARAMeNIY0y5ECN5Wr99BgcuCZMinZZSNEVIZLIsJxgsQA4LyzR6PHrciFR5/4bujwURL1Gc6UpjdqY3VWnOKDXywNE90K8pKq8fw9HVP9YID6prH1S7jruxxJc/PY3HxYEXRJyhMcSAp/ra6orBPhtO5PAMGPbXtjvvXL6L4dUXziZrOOM5PkZ2nzk1c/Xu9id3tm5oseit1i4GJ07N1c/PT108PQOp3Hd/USyA/ujjOz/86C56hxyFgAlSxrM/+o40gRcXVQxs9FczXVbAgR9WZH370p0Li1MvPbEQ+wlLhbz69PIXn1y6cmfzvWurGJDDN4ZXNDcOIxwYu3vu9OxrF5efWJrBmFwsiPidjebf/OrGr66t2diP5eO2kzZpqCzw00CYrEEfGueHigLDwnT9P/mdz+MXKAeNXF/d+ZMffYoyyhOQlhmGEgwP19YyG8gLTpkqELnPmR0gUDB53ZzMglSwqG3uAnxhaXoKH282NLNB1eZQbJDL1FmuZQQlRnTbcmrMQndbnYNK77PBIKbmqhxoRFeQjZc3jdZsYgQVW5KSZhFVeo1UmwE2BZVtKRW0FFvhOJdxNk9QH/jQnDAGjL5oPNIJAbx7+fUXz77y1PKlWxtX72yjyWHh9Pbu/tzkxJm5qfOLky+cnT2/OB0vkmxqMF77lz++cnVlRwWEiWztLA5DMIz+pZ384zTKNJdkOAVUFVGZjoMCaUAaxECNYmzEops3sxyRHTTHMzn85+vH78f+n3c/w6gh5tMvTmdjwFB9dmHqP/zGC//01y/+5NO7WEgAs6hxfsD3dWfqVcxkeO7M3OvPLC7N+vWHIlvhELzG8Z2fXcMAOcxSrcM1bkIsDwaatI9zhXdXVCwVEtmhnBGwiJDJjicAcZFvFiuT0Pi78eIwH6vwoYYqKUDh2+FTjerYJl5Pd34DpI2pelNUWbTeA4dIQHFWekuh1rlaIqgFvQHi5FUpi1N1vFXDFzJ8QFP76RW878Ilqp00j41co2ASbzXoJfvgGrDjQ3J7P/zk7qn5SUxp9pBjWAX6O+9e3e7u2hs2MADdfnoKTyG5p2DmLaTS8OTS9D/7j7+e0g6QeuvS3f/1rU802x4+hOU8Kqw8QLGKCPXeH9e5KfNWFusveKy5BQexGHkNBUKe4YFJH7cPS/CGdUaJ6IHcNKyeoUAFdlSLems6Vlt7qxnlJB5AfY4cn3hklBh54OHzANaqYjcCHRe+ZGcdCuvHRGVxJ2/f/cWBH3VzxCeSkyie6rOTRcjzEb+PtPloIStW4pmwTs748mx9frLawSdW7RurIe/RjWBYEWOLqC6MVXDJ6wekpIUqO6xdvkDsVSMcBFc3xO7i5MQPaoWUOhO8JUPYACvBTQEeU5z+y9mHeIEVNyH5N2WDSR7f9uOc+zu7sLR0/sL03Hw2+otVvjud9Tt37ty43tzc8KO/XjaAxZG+mYER9w8hzkiaSrJ6JiAT7tBYdAsoOAI2PSrP8zn2SLXwAtkiBe44X5l9OcRdNCQYG6MV4gEZkaQ8ISMRCVRDp4R5Gcer/rBce3rbHCQSnCyh/DIm0IqFyuQYC2KDGFMxS+UVm77DIMXowaSYeLh4DyiQsU7y3v5ubQLPl7hQX8wYx3NqOXKMj+vu7u7v7tbwJKOG7wJPYiJxq4IxYEwFzlVcTvpYk7ASjk5tJWFvH+PZ7YnxqekZLHg215jo7mFlaPDpOk5+tjvVEZqbez5Aiq7ZzC+Egh6n2uiAg2wvQWMlg+dI0GQHtcMs9h88k2zIp8WGTcbkOHwxkOcUJaJI5IJpDEQvZXaQbIUqCnoRpzGzxGdEeyetnRRSCGHIhzBAsgoKkKqsnjbx+VxwcpAZRUYeuMcesBba99AYxqKeDX0Y4UeG58hufGQ8cX8KkvM/koFiL1ZpiyEV7XkC5jkYPzRfDDDg9vOfvjnx5NJMznoM975wbg6/HL1P8t1PVzBidIOfFnZzx6DVDY5wKIaDUV61XZJ5ESMgNjALf5WxX15bw0uGeBn6xfTTwuAC8dkzc/hRZLiw1ex+5+efff/D25hGp4FdXppNpdOtBMBkCTKziDT47OHUDeTCKOM8P4YqM6DNjQyZN0xavmCU2d6RRWCwBU67XruS6aVqCtsAFS/p4mx32MtCSt0oAj6xOD0zVR1fCWXU7FYOQRkl0GEGQkiGiMjZhjqPL5jSQXjskslP2Jtdbgg4EQz9SLyZgBFgDgvytQgZLKnv/OwzzAD+3VfOz02idpIwO1l97ekl/BJq3wTQ/v6D2xstrv8Ms1gxPOYU5yexYbQqAV1B7u3VCPQMyRkHs489MlrrctQLjbnSuDq61Egyj3lfeQ5cDjNPOZuMTc2EfVOIWIOx7Z//+Bqm6v7B60/nRseBjiXEf+PFs/ilFvRMcVz8J5/+3+9eXd3igtvCJzMLqB2rSc5R/YAU1y6T1paD3SCFEFzH23ZznIvI/4Cme0GiEkFBdL/d4cz4/EGBAWBCUB0MQn1ZNYk4XLMMZpVEWOWEUitwesYqv/78Ml4loHk+/PjKXZy+kLI7BhiEgrNM7EUzsET0hSKY3o02jXyVTjCVty/d+q2XzsUDwFhR/8XzCz/6ZAWPc2QEi4jgH8hIG40DGfGjFxYgSSAyTFQVUrF0xRwhKyY+qPGssjILy2hZ7iFjrKwDh+GEhuM6sPIeAifinUiXL81J64lUZlGvPKP0iJl1Q7P3QBmRRx4YeWDkgUN5AKeg4z7/nADkEEVDX82dTqOzqu9ZGMlQrDMZENmrUm8TjlDE8ebYwA+w0OWMAQNUaaQnJzIyz+Pp/vJ0/ex8AzN/MRDKDu5jEDAuODGBjzphaqmWfw7uHaLsPf1aIivegwjEGEPKqcKs1iDhqy9fItCHwqM8/vPisV0D46ERmdKh9BqoaacYw5g+/juOVslaMpMSMLLHgePFGP2dXzr1xIXpWX73F/fY6uNj9Le9cXflzvWrO1tb/riDOFXFCC6eB86xWDZvz5KMNJVkhURem2TCBhEw6BYaEnneAFKMmGrbCiFmMXJM8XGf4/eePtQ+X/xSoRxyUqRcXuZNZvj7U4cKQd584n0APl/RUwIyJXi9DchrSjh7Z/bOSQDKE4mwJWDtYIPL0Tw1QfXEQ+wH4vClbnx1uzs2XpuoT4y3arv4JHDBesA4mgN0NYLjtdXCu+Pd+uReo9GoYam/iYn2xESr2dJa7v5hUtHygYYVRUophlOOto8XSrrNVrtarU9NLs3UMKliDSPWZNYTDpQpOwHqcYlw1CQLiCx/wS/OpAJdBH/iAFRgiOM6EJBjz1IEhZNYZJE/QZgWcDrz+EgHIeOUArNYYKwdsZiEl6QQycBFxRgDaUnwJvjD3nQFlhgLxFwysCHCZ1qY9yI1YuMjF57us5B4I5C9BYFQGqF9ebxSxhFx5IEHwgNxy38gDHqUjRg5+7hrF6duO+cS2M7cOq0zjgf4HALCwJ6/4vNCxmuRhgko94PLt/HW8R++8TTm7R3aNLxX9pMrK//qnU8u3dxwVkAFzbAFSXVBkkped9gGdAHSFd1WMiW3XTgrYz/7dBV9lz98/ekvPrVoM9UOZ9jNtR18avRv37/BOXS6aNMEKefkQPpK1jiqZRiH2E5mI0N6QdMm/YY2g1P3OFlWF3HCmiRKBiDGOX8RmSww5t6hrsMsQ0zufPmJxasr21jIl3WCgAZDE1Ax/EipI1rW4O0B2QWoMSwI4meGmxqLlwGyXKRzymMWjBMURIJUiBgfkjwKNN0UfZ6gggWFc/70R1cw5/Ifv34hN9s1UzJEDN3Y7/z82p//BGOcLegDLH2pyjDDQZRZOAhxWLL9IZSNWSfKjA0k2KpiB0LEBjg1auI6MmZSU4ep0eJNzHBayUUn4ITARb5wxyGfsAmgSdFspoH57Xev3d1qYb4vlmc/9PG4vt350x9/+ncf3Nxs6nPLbhCQFtMO/MtoO0xZyKwULktlEtXVnQh+4wuF0guRoPQWz46E5g457P1KE7Whke/joOC0i+SgeHIJ3wvfsIOC7gsC8iaBZKvbegsKe5rA/0IGDAut1x8Abzx7qpFb//nSnWYXA8AqLTZczQF33tZdZ62pDaNxMcKHLSwoSyhX0ML3P1vDnPW5qXpca1994QxestlodTXZmNLgBDcFGGicDOfWSMe79QY7VCS96kRPD7LjcZZlBmaxBOURSZR6aFDZhhOKuI7bh0fAO6xoVJpB7jlg/hAW9Vc+BMABTRqxjzww8sDIA4+1B7SEkboq6hnzLOu6Dv50zH3oE4nTGHw+3QexOEmShbgbUuyoFCmAKQcinPKy6wAY5yarp2YbGAvV9F9Ogzqh0NuoE1LYExYe5cd/0U/HusL8sixezj5EKBSo6Hir1JI6GkqdU6Dud38B9JjB7OrO7QrmASIwhUiGq243+uL+QU2Wc6AYtVuxESmzoQ8a78Us8P4EU7SxwUiBpv/GX/oBj2f07Nxr9HcGo78XnpqeneMiXrwX4f3Ebqe9ubp2+/rV5tYWbmN0SBmCLAzRFNWwC9tQH57b7wucvcqfCqjU5inerSn4fRESlFTcCKBBxotZqow1AHoQvw8Zw0SyiurP3RO8XwbLYfmlXLpBZ5MIb6QXbXCCDqaYX+LDmKlUb8zQLx4JKxql+4kNyDseFCkZGgp39Tw9ju3hXRks5tzt2pppBUsdYB4XTwq6+MJVd2uvi2HgRhWfBZ6eHq9W261mt4l3+gtn3TxAQdHwhHIoo7o8FK3bbNcxQbk6jmkxre7+Dj92FQKaYYTijyxkpxnkt4csEYsHEavx8/SqpuvzsI8lGNfJiuz8p3LuyY+NTvBo0DyjGdHvyaAAgtGwRTQcpEqKJI1RqUyMj6Qk6HOUsKsZFYrLNsoxqNg7EcegaITtWZ1yKOKzsVBonz1wT7mcNbHNA+UfAYbHrbwPVpWdhPdPAvPB8tpRrXnwPPTgWXRUHw8rH07Bul7ghM4zMi4nGK9A/0FbjBPi3oInebyVibO8hl3BybGDH35859OV7d9/5cI3XjpbXNh5oBEbO53v/uL6d392bXVbQzu4WNqVBNo49sj+Pv6xART+LYJLhm4PmARRE9JwB483Rkn58Pp9k5/TAABAAElEQVTGf/e9X33jxTPffOXCmbnJgTbkGFa2Wu9cvv29n1+/chdfIwagng3AK/zJEvv+pYnp8gUb7ALMCP7BR9NzwMeSlDmqHsLBNCqW2tBFAcVUm005tfQmq5hFUenc9G55EgR0KUCnJ4XMCOHHbq43MbIeL1n8D146h3nbW60N2kAnUcb5CCJmg8hJHJRDBZqtrhWlodHj00yjsAkgJnNFSzbGn8ukKwJSwl5IUFKHBmsYxRzXN6rNFNzS/F8/vfre9dU/fvPiy08uxl4q4JQTMOf3X7710Tsf38FSOwAHLGqadYGGpASKVnETrEGwgIj9QtLnyEK1CNdEzM4sOx9D3eHPOUO7gAyEEC8qYoXzfh1LY/OE4CB0SEKOHdR3Lt/55dW1b335yd/5whOawp7X3ScNx7516faf/fjq9dVtzjRlq3Q+4V4pNjqoQhwtFW8r0Fy2bl+z1n5ZBgZkFwK4ERyedBBKBNBVfAx0UwdBDV5wxYPit19+4l2cOG7ooAC7jILzaQyrVLqdKXE8Jpl9YFVD4Ba5ilM/4kz7MP7iuTlMAomHadGWPry53u1q1NfekWFr3WUZOQisPQvCCrOCIw7zNLLsjEb+O5dvcVFrrPTuw2vPLM9P1zDsTWn+SxqiQpNZyqGVInnB49pnZwAhWhJG5PCtXDliPpkJZbE8zwmmy/xTRjtBE44T+h748OH1ziGc8/AWtqRVofz3qzz3UXWJI0akkQeO7oFBbXpQ/tEteEQQfM8GDvP9Q3eiIiULlsIpzPU02K1j/0xyntXvnVjcK0k7KJLKwLNYDsEyRERvNGNTrI7Fn+fqC9P4HiLmd53g6G9O731MwgVYWBjzCFEPGAIIiz9nrin62ZnrWAKnGEOKla9EjhIlhcN0osIYfKc0zw5un+XMyO18rt/nKjm7ZDKmnr8BRDfCyqCeQ15gXQkcjMEPuYWo2RULo9WjevTx33EuJculaOWFEucEPZXqRBWjv6fd6K9uvJTZ7bQ2V1ZXbl1vb22qhClKcFCIBMh8xO5QIupgkYiZ0VQgSlk0tSwnWxCPCQXJCDvG8WS/j/OGiBc80EumJ355hqNGzbMUGMcNjl20cI7+liJ5ot8XYXrngLdvZhErpUTCikbplPFAqeNBOVTRcKPP1733MP7L1fJ5gkjOXN5d/UwERGun2e3sTs7s1+r1+lRjolZtje+0t5u7fBDszzk9MArturfveiB4gXw2HmJ0Ou3mzs7kzPRMo9Jsj7fxbWD3zMkLFfbyQICKrONDjLKjAw4rku1KYUUHhvCQyi7QiClN/UFbZoyXkf7AmVnj852EZTgtueuDY1Em+fo+c8lwS4zKzPNq5ZJIecYBcaNLI5/wqZjeB3SlWAJTJloaM3/FWQRIG2ucO4qPPPCQeWDYQ+EhK9ajZO4wJ8VHqbxxWeKyIx6S9j6pbUHGGZ5Z6FRQmGd9x3lrfeef/92H3/3lZ/jo6deeP31mYTK7GsZ64vj+2K2Nnb//8Pbf/urGjdWmhxKgO/nz5pqDMrwKI4Z/3FggmFI7pMjjLjfaMykGzBT8y3evff/SnS8/s/T1F888d3Zu4Jgchpo+vr3xV7+8jtHf1e02r3IqBgBdcWSGrk0c8KBtsgy5tEPDdqSBKjsYO+4AYAQ+esC3TqMLvjkFdPStlQsbeGXOBYzcoPsty5UDBtqOATzrAREe/+oQQQ2j0CRq5QeXbn/54vJsoxYwF2fqz56exdB9s80uPSeMGq+BeD6huAShjiW4vpnrurEcKrg1TSRpe1lQWVh3ysfNKm9XrbNhE14h1K/vsY+1xG1KPA8GvKKAD1ABjYnK2Me3tv7ZX/wMy4//9svnX4evJsMKc2WmiAbBT+5s/H+/vPnW5VuYS60GhbpVY9KYKrlQkTBXzpVtGIzknRRbAUZeVRIZDSPiwEYKA5GvNqFcY465QCERnrPaY3kYc60HeciCkxiYw2CKuHVlF1Vs+EAsGyGkmW1+GRvbanf/5fc//rv3b73x3KmvPH8Gn4Ot8jFOv4BRTCwy//1Ltz65va1vBMvJBJR2FY6mKcgutVUz0IgwmxlWIhrjneWkbMdZvFzkQLCu6fPggTBIrsQsuqDtoHBKcVDcKjso5q+t7Gy3/cz4SJsrM3F1ktBmxxmA27Q44P1508+tje/KAsjoq71yPsy+eGYmd3J7+/JtHOhUoSFggGK6BJJoVv5IjxSxqjX260qoYXZpwgIPv//a0/EAcL06/tTSDKqGb3GDR42EZ0jZ6h2NDKv+SMuRozilY74HXzSgvcDXGUe1ppbBGoqVgJijhNyEL1AfhEiZZaj+o4VDARxK6Gh2ptJlrkg5eqYOK+rL7Pc9FRwkYziww5p8EEtGvCMPjDww8sDIA8EDlWfOnccJGj0HnYDzHQYS1avITs+uk2EEntudqOckdBkWaBkIhaIUZZwiiyZbKjBmqtPlpII5sBeWJs8v4htM450uQyIyMFFQ3l8iZU9T/SWPkuuKHXbwAiahTWB6Kbp2/OLxLjq1/KNB2NgfoyKIGGIRp9nUvxRyc874jNZDdsAdjUxIMK2XTDTXX5YKbtC71c088pxaUcgW/YlT0k7CxbFjQLZ1jS1ZvnXwUWaP0nkOZ5KX83vL5oJQtfGJaq2GCL4n2um2nQk5VBPDHQO++1uvz84vLtvKz/peqfF22u31O7fv3riGub/5cqRavWkle+fYOGc42cheL2AkpTzJcCPeWJGLp7wgFgjG2IPsBXpnOz29d3JCDyNjslcR04TqM1IVjlqembCi+vB155n5eQxG7mxutviWOx9MuOAR/B7kLFM8UY4XyvZ9M8mWA8skEfPCJQ0l4+sHkHFZTLweNZ950PShcSpjmPk7PTdTazRazebOxhZeE+IJ0gFyh/9hyoXTKWcRN+qNxiQWlMYzl067tbO1g4sORohZoJyRHpT7OMsr9/kUTRgSc/yjHTIFiQwOTx9q1drU/Ey13tho42lya20Hb7iLmY95eLrMuAMIH27oTCpWcughD8U0vwAR0pyo6TUCQInHf+UzgnzRxM+nKKERWVQPKsDjHvaQH0H6Jck0AISpTDvJ83EKiCwGAjZ8vCp93CHCiqQoEjyDUpnSzFOUG2IZo08JnYyS1k7cjtmzu4KGU67ZIYd5JIJYQNE49QOBbABG3DTzcXAUAMcnRl55midhM50swOBFnLsMhIW1ErhsciqEciFl9YoImFyIYDKizzSLfSrZOxMDos/0IH5vRXIpXy6/90JZOQLF5JCRASlPojkaMlLEyDF5eVf21O5EOoCnPJFlLppIJQnHkCEF+4xUwmykIEEEx5XuHHRhR2OtCSkrAsqiQso2BQwjOH2m3idi0ABYAmX8niORduoKNEfwMj2sGpF7e6Dg0t6sB805QeiDmnK/+N15lSdYmsDzrGJc2hVXH78Fje+VYWSB56zw509FevWzWh0/Oz+JFaEvnp7F8lQzjSqmBdeqFYxH7LS7283u3e3WJ7e3PrixcXMN4zqYYxxOXxw24iGJCwmuKjo1ceFZTj9GitXEna8uGUhuswqZuIDLellGGGYKrbI4U8NQ5bNnZs8vTM9N12bqE43qBMZI8J3Muxut25utu5vNK3e2r+P7ojApU0I82uTsYQZ/JONLRNzRWBHoG10p5TIot86ROU92kN3MIqj9Y6ehSmHh/jYUTxFxOXzuNEGPshj7sMsjehgAgm4SEdzQCAZJNDYGG+gGvXMp45AgIzcmRRVIQ7GIVlzgE5ZMUKMo+RTIZg6iORw/Zflpv17MZglYjokwZmgjZuYkIqTeJWX4QBf7QBvxx4ACgs43E0BgnFx6AdLFRbAS+WEjNis6n/bLRI3/iogikNeKLIWEd6q4zhZUCFh7aaczqcTvx8bwgv7TyzPPn51/5tTMwkxtuo4fluOptDtYrqaLAdHb683LN7c+vLW+sslheSiQBu7Cn3XFVAe4n5Zv6WtYrZaCHRuFzDWbicIge7mloYTb50rmStJe85HpJJksagGoHDv0WI1UAtg+WoJf6BRzCx0jfCSFa65y3gSFmBgAfumJhbML04vTtYWpxhyGgyvjm+3OxlZndaezst361WfrV+5utzvAkKelyBqzRsetJIS2hqsqA7icZK5QO5Q2FQ5E+lUbV29M6AQkQ6EKPOYZMqrs3JNMvygG92AvAWYxEJYEBUmB3RJWS0pZhrU3mg0GM51Fo8NYGAQVmDsWXGnyMQoYguBf5wEXJ4/lCwKcbC6ySceDIaP+AYmbbhptwBRUkK1WSuqgIq37rriV0ajKogVogKBoLBkJtkCm7ewtSGmQFYypZJZCbqZdqEQTiOlg6RBYSiHZ1iWpmgTzBmJSaTTjdlJKsCBO3KWLO7lY5CxW5HocKUP7I2KMoo+jy/qXOe+cNF1sqGl+lDLWiBBFMxPEFbF6Jr/PONNYlp/FwOHOWDFvicmJSMwrhEAwNsn3kUjxwWjn3YCi00BIpdyO7ND7KAnyUcTYE0BLJDhJwqRFSuQCKqmJRJbIYoE7juTxsrSd9vPAsWwurhNxyWnR0RNu9QftTJvQRUrP4TonG71QR1bqXBH9BTRfodbdIbMX8IX1NEcXmRtPj0RkrfrDivEaYaEHv7J9gfyV3IiQk3RIOUTSLQpnuli8i/hz2ZlkzE8sMeaIurKRlqPT4bI4TyeQ+uwm4rJJtWAEb5Onhktynj/WgYupwzAu5TmSMkBgThl45A+vUyDZxhBwvTYSt4p5dqWkMtBhTyYf1bcXzTITECZ8LY9Vqoi7WxjjgpQvlN+bhMjeB+KFzpjF5N22mJFQEhyJRNkWDcX3WkgwIqSx8PPiVL0xMYHRX8yFTXQ/dAl5A6XGzxXQiqDuGzc+gjsR3Ccwk8Mb/Mis1YovcSLtidpThX9M7rVkDNawsrSZYWikMob//5+9N1mPG1nWBEUygpOmTOU5996qZb//a3Rve9G966/7q1XVmTLz5CTOZP+DmQ+AIyIoUkoN4RIBcxt+Mzd3OIDwAGKm1liQ9L2Bme7ERsGMihmi0GMjOSpRdX/zK7sv/I1Q8GLAhjJNEUtTk4Kwm5sufQJBS0zvUA8M+c2W0ETw4uZmEmTrp+ZgohS2ujXhK7oP8YkP3tF9A7csBaM1w8cVh4d4teybd399+8O7k/NXqCJK62r1958//f1vl7//rvNTexwIc4IsXrtpGxz81nurukj3BqoVlonSshFG0ZWwrxX9wh4Bilc0is1uxCOMF10MBJVVqQ0BWYlb3v3ind76Gm8YDDppArXsY1kygViopv32GBYAhuxEHQofwXwaDo5w5BlvhsBXMfiVmdXhizhLPBoXRx/WevFBJt7dfXx/grdBr09PcNa8vry8xqMf89dB79LIxSgWBQU1NNDA27vriyu0DR8xvzk5uri5v8EXxEOM43IEhYmWbE6A0yNX54iYfTpTX5SEZQmDDoxCZepQo1yIBELwqCz8Yj4jwmDGX2bQZX7MOtCaBpwtliOGygwwMNkWokEK3khELfkHQj13EYp/ygYdwHSXEghWdTwzM50EZtw94xvJwI4j6QvJRl7MfCHhPm+YX1dXPm9u/gQ0T+N2HFM9b8T5nC9uQrotuFp6xKJCaHK1yKdB9+oBvhWGp9/+188X/8f/8496drKQJ2edoGkc5wl5x0ZnC5+V8j5Kd3q8JeCrcH0TqCgNJhJWuK3zCZq3TFwBZL18m4unIwT98+/XP//+0//5P34s+QU/EJJyVfeaPotZQecmMO61DkZ4Ln1wBYQhexWY7aFTtYsbn1cZEFbruLDNmO2IVJ6KuUedG9/jhkhc6XlxDypSg0vrHfBbV84P8fxObi7LMCYZYiMaNRohg8wNK4agFfpXVQJhEaYRoJH4p4DZwbxuV+PihC4XWnuUt6gSA0iIFYDsGFNqTBhSXE1Um22cphl7zoCi/EGCPaPFN8P1dm5FTy7+CY4MFAbFWxBFSAbljo81lTbS5DH9zoY4wiLFkRfQjAA1HC6ksMXi5f/7j9/+v3/+piigbOCsSSnQPFwyRhgzTjpJsg5KN9hbWU82lsgOEkSNDdC4uMl3L1HA+NRuVOQCG0aggUHPZDMtGl+sbCgEk9iEbOkXRY7oEZ6dJ7adgocXmCL+578vrBgjGgJKMz+RDTeAcxH+2Av8LgPg6JRR20RaspcDsLnne4/sMtTQKAaFx2CxIRhQ/IkDPzahEmY3gGv4ChPHDQVE00bhRQXHBfDxp0MHzFKYdqjTyiEyWhUwE9DuraCW0D2Fqcy9QgKb+5InwuNYJyAjqEDkGAV8FM4LmCdQsS6jF6pspUsBiJzEqWFUvRKgbTglYSdAmPhN+DTQFMfv7tsT7UyLYg0CW0vDbt07UGTTEj/sCBCZtyVzwCJ76sdEpnbSjUqd3UbVUOKuCcPcRGh0Pj45i+Lju9zVw875aBQbclc3G/UG6RmwhhC76g2N98x9BvYZ2Gdgn4GvPQMrX4O4meUqQlWczLqTCCrl/Cai1Ky+qdrJukpJ8JSLujya30WyOjz84fXJ+cmKP4GL1+zWi6uCtpGYutqo/FzCcvVIwIgA132gyoZcMfT9wtQy17loeshWykskhztcPfpOlV5UlB2JeCEMMND4T9RSKO6KGGNupzepILzEzf1EQ9UJsFqSelHhDmpCiStjsJLTKIef0OF9PO30p/thXVwjB7ys5j8V1lGop73YlPozAl2tWzO2Vm0qpZ29Gm6sudp0eASD+1t8fVd+HaOcUD0Irv6evXn73V/+iqd/16dnal9c5XP191///Omff7v4/Td2KD9RKIZJLKZYLaNBU4r3hreNbGxExuhRz8B20T9xp7bhC+zGrCiZaCRWLx0W1rvvEjn3S5aL8rEguIprFu3QR8FB92KQ8haR3+PGfVrTOCjN0IrhCHZkMNKb8wwLb+F+o5u5+QLneVAa8OcARKKxcIs3JfCl+XgiA4fFLMuNy80k3+XOR4G4DHy/Plmv8YDDCk/6H12+v7q/uXlcvIvaiwIEN5dhIOEdA0dHl/gSCd62d3GHB3puPa8NBlS2Tzg8kYBo82F881O37jVyeXaKMFo9cjE3UMJJTBriydw2+iAoJpBELRgisEERiKgiRY10q2SZJn2NY9SjWNLUkpzJaeOoJirbqr0LayMUH9RGJRMtYaXsSW8oRtigsBftM/BNZEBHzTfR0l0b+bEy8rFwd23XZ6LHCwOnIidhcLCyiUd9uy1f7aqzGab6mPAxxfOqQgxdYEAQy4CY/nUm9FmAp4EomXWeMPAXEp5DiYqFDe6k69VVXvsL03cBqEW0gJRjKGCdFes6tOLrUYnEoMDjVjdOEgUuaJ2vtNcZm1HYmmsZ5KNwXcIwrHEpiFoRRTSODsXGpjaGi75Yp2LxojCIvOBNdLLcTMWo1jNurlGpWZCGnE5ghv+0cEgpIpyYbDdVpAkOs+gEg6cwqCcHVjI8n94TQmyojKJuJJqKF98iXuSAkcAPbhih5/RycY1sdgKQs2m8IUUBs5SWLsyG2CyH1GEpBpipmXwVmFrMHccRlJg/fo3BWZED96dig4pW9B0qexV/Clv5oFj/8kbF7tBqLh8eahnyxcPRw+E9Fp0hw5/6hZ6RFOcCPslmJHbvXTQgKtxxgVaFSMJynTAy5g6EaLhncPyPIjodiINNaOKQAJwGNFfwfVAgTIjxqRE9yUCL4mpAhQUiOOEjYTfveQhCI1DVcCCAKy8Cg8zHjQYnwrADKYDknn3nwghsSiyRwoeCFNkcFJuJYH7wz2zwmTL4Z0jIJFBoB1b0GGpiwASTHRxjsCh30CHBLTf4MyN42DkctE5K0FNEFLjIlB5tGAgVBwa0cAFlOxBucpF5EoGUK9P2kuEI3dmUNyKi6rZBl0bKNqXMqjLA6dVeqUKRC1KlqUHpd5z4lksfDdPIlAJamEybCXKYYUN7QiivoidfknBce5hhCUCJ51eLCK9YFVVAMjTWKSWSdmwGdYkArttiMCq4Vdhav1QLERqNYhF9QqK6r05r/wRvxqi6O1PPgbGzs2dTHKRnwHo2d82h0ZLPh79H2mdgn4F9Bj7LDGBm/TLPEk/J5kqXCm56d2qJSnMl0V5V2KXT1ZlJMNfsdfoaTBovbWN8ddRyQOMpurfna7w5By9cwq//6rcYZ4ATm09Z7WNRzTnWnSabxCtZp4iCSFamwLoOWJfZuOr0pSsk+Ic7r/pqJ8pUdH3J60HUTdfBTBVfgFo3NfpAU1b2EAc4LzSHZc5WsNKdyUqsEANYcu7xp4QUD5K0XU+t9rodsgRQSpgWWOeoy9RKhgoKxky9qmaC8A8mjlZVBsVbeGZKGxPgquirwxGYAs0k004MtkifjWC1Cf7wCzH4bgKxGg2oyit1sUh8+hqP/v7n63fv1ienjsXSW775Gau/f7/4zau/6NfwEYQiSVa7p166bJSKeau7iZ4alHrciSzaFkVplJoJRKSgChtKRZKQjbAhU7r7fgfjgQpZTeLCXVXkkKFCGYELAVULKGAUaBTyS8v8TgA+ikh5oE1RzJ5yu3oidMxNlcYg3TesTZabZM8A0cM/GbAAgMAK8N3dPX64lz8DPO/X3vOmGo/cA068Vzf8ztHd8cnZ6epkfXR+jiP5+v3B3Q0fEd6EABkCQgwlvqm2xVPuYl04fMnA1c3h+vr05OTt6RoPJL/nK+ezg4fGaEkMYxzNHMil1OgqRaFOLNDlUMZpqJiklhmooYAONk9lkmCP1EhMFhHIb1ynphA6f8HxLtXi6EP4AAKT7cFuUBzNQGBWNUroRhWsDLvhimy1C12IXhvsUdkS2chkz6sZWMhqVdhTX00Gvu2+/rZb/8kHMdKtkxbOKjq9eAlYYVDkj+DJDC0HyPOQO4qnVl4I6NTKT+51mivKFOvsp421yPPpUb6zw3Pf3DASN9l5GnUAdslLS+vIIWFjNQLc8VWBFIVBiqfR+NOqQ7aLMl0AUJP3ayoN4eYIgiI9Y2gd3LCSwTZSnA1lM2AEFq+NJVHbsnmhR7mNpUgABQBLxkMZdwqbaL6LY1X/jQZVruUEFpZttERqQGl45RNy8mgaxWuGGR8Q6Kgq6IYPfhwAbHiFj4ocscoa/7vMiZR0++q+Yy9X2EmS2pIt0HDgI6/iQxqg7iblizyuX0OjBGYfbGQpbI6ur4AKEOSCAwlWcFHRAh5W1JFeIDDtTj16OTNJWQQFMSAdMzsw+BoRcmhI+qWo/AdCm142Q0WK8sjukr5gw4XQqheDqyFARlHnguQqt71ph46lXIFKzxslg3wl5R4rhvf8KsbdwyEzhA8AABQ6qCMeMKTOvTIjRKYlJGDLE8VURROQabcAEuaSOFSD12wiTXL9nvj842cmCgxbjVBylRJ/W4Q6wgWKXoyM0UAVWqtPSEWzQxBNkRKfHOYfAyl/Cpd2GBx80jzsSYBzRJh2CNAZdQnFMWs3apSMFYm8QZExyZ4JQjviWNPRx9tqRsFYoFRo1Bwc2oivOzBfYpGdxU2EGTrvwQvaiIi+lGeqOa7YE1y/jwwB8wpIyYmcAdPWjtML9+JxkyJFilrkxCI5po6Lq/YRBywTpAZoOPHwbMJIuy933/TN8zXig0DVVY+J4dEGjwF/nO4HNRhGz9CEZ4B4XFt30n6etu3kaq+0z8A+Ax+QgS/9GH22+J8NaFsnrOAJBdcXvJ7KomuibhrXtVeKm7NEGDW27bVVNSiUr1xK9ZEErqLxqft/vDk5WR/iA3c//htXcI+Een51xeF7QrRS/+I6jTtmUFmMC/O4+MNFK69buWPCvcWOV7TKKjnqntXBES71sAiBh9qwlW72kf3s0CRB7qrd9uoO2KGyg1WqcI8/Nbw4UJvYZhdQUMEdSq9V1J1oX3yTGSOV6ddtvW9+qCWv5PM/q+oSblXElV++24eE/in/rMZfcs1QVIwN0cEd1pnwADDudfDy2W5BqLaGR9pqdXz25tXbH/7j1Xffr4+PAcWA1KN49ve3n37Em5/57O89bsk0TmwekbOVs0INaWGTeraaqW5kNDZqlJXNTdw5QGPVGoCGJM2KUiEgh1AlebkP9mN2TbzbzAZeBiygFK66SE0BK1s0clMsOiHuPjEywLrHT1FJZQFmbB5YG4Wdv67SmCWZ+07vcZVngOgdPhmwA0AF98uYKHUQHeL7Qvx4plPp3S/XYFSHKR4Fxpc7LvAa75OH+/Xxyenp6dHB0dXFBR7GxQlpGUWSsf+duTNFfGqCkyC+MoJfVzs/OXpztrrkmjea3qk6/MLijMo2+V9V1SlHppwsi7p0veFHWMm3CmogOE3xEEkZ8aOIZTxqQdnPUZk/NEnTNoikGQBolThF0j39g5daocD6rCRvqtsqFlkQadPqhLMU8YMYBWFGGEZGUqmz31f2GdgtA/vhMzySd0ve56K178TPpSf6OHzy8JkLW3QT/uManjcIXJbgai8u7nEpgdvPfChYiyjQoQGuKrB6gPMP7FDHXl2N0xSl+OuLLyVlqFMZz6g+fWGb6wm4S6CG78rhF7QDA2E4u1GEvPWAfxgoQp9TfZYE0//CKkJpgiqkY5ArnspQvLJAIu5DEA9xFE+sLykeauOPKywglAguAen5U62gMxeCtCK2LLr+iDTRBb3ivxKvCNRGvZbWOYVzNJNyt07aSpSyokxyeZcPAyNSvgBWiPJl/zS0MbNNKLaICiREc0MopJ9RqxkpyUUhmylIioDD1LDRpBOJuEqWzNU0eiJ7uWwWJ0igqMl4uw2vbNEjeE836HIpYh5EjX+lT1nhHTIFEa79IlwSFMwCiRVHNgnHwv0dDNUdbLcSZkfsfw0CdgKdsxiUWY1SKA5cDxyq+Rqdh5RN+PortAfmCgftY7z4TwI5zyClEDEDmlXIOAJRuL4IL/iHeCCFLfmuKFTGia6LpTWM2UgTtOhI/yMCAtYCEVSBITgowyO+bAp390ccEOFD70GHa8YEC/jBDrYosiVhWdaJCF3cLipA0vgnY/qENvmEQIAgQLHiD6Cw2Bk8xY4K4eySGEpf3A35GFFmss8RpAGdX3khODG1Y7O4TOpA6AP24cJ6CFXjy57FY7hsfsKpQQahKTEVJmlkkbrkK2OKLEIgi97QxoBgZ9FIls4TafW5jLhejJEV7YudsI1Jwxf4fTW+bU25kWeB2p5ywYvnwMRyK+EThlDVSGVuFKGaZAuY8PgU30BUJmxTSl2jQ2EiXf7noetFdzkibiHcX94CsBAEV74bLyIzhmwWoT59qVFs8P2nRMZ4dnPctGE3gw1NnYga6JQMWCl6ln02Ifc7gfpo2Ul1r7TPwD4D+wzsM/D4DGBOfu7pf+VriPZct/vM32hWslJNAxE2+cMrkSGzsS2NBsjq6PD78/XbM65b3+gJy3ot15l8vIraUZqjiz7W8M8b7uqf5boQRUg8T+LGAFVQ2ZWkQ0KWqryhk1zZBCJWf+EFTHzaz1UNt2976j5uHnZAr+1cUFYLBzLnQgKnguRAmZfKymXkxPmTHe+dQqihx3Spb2IwunOwVc9FJ6pCVyy8qZfYzQA2Cu99RKivQLGvsOOrn1d4pJ5fTeDr44DhmHCf4sBRxS92rtevv3v3/X/+t7NXr2Dh4KF8h6X9y4vff/75x3/8r8s/8Lu/vBcBMk0H7QYXJRvtGrdSDXblbqN6A9XM8nbR/wS3wBSzPpzC7u3Ebm139RcwWwdZzWDx0kUw5ZY6CXVBjahSLUSxaJmlf8jUPfkDfwBY4c5gFhCMt1HYu5zU0nK6n6g9pppQj7FZ1v1QNNghhwPrYHGHQxNfE0LC8YPpq+P1zdX1yGAhtgF0aOLTieurKyDfnz+sT47xRmh+vfzo8ubyCmvAg9FoqFmXD8O3j2Xn02jxy8R4CPjo8Gq9Ojs/Pjpd373n9NSpFc/J5owHpXZmskFoTuydajRMGcekmDjFixkWpx6s6KUAkyK+tIrlkLAho5y4AkuA2EYwtAeLwKMyQ6CSmDquI7pg9gDpq3CHWPxMJzWsEOjB3hBbmu33+wzsM7BzBgYT7M62e8VmutonIzLQnAV4LokqfmhWZy9eyuuU4TOOqlzQoWJc4kMPFJdEcObCOY9vwRWMAMr5we4wfsnmKUz/aEB8nklA0BQ1G3nLJR7BEb0pWFFQrEQkO3/nlqddYqMYmntVyZqWEEgBNDXhxhQI3YbwNbnkcYfrBq5lcGGWpcHN071fAI1k0L2QoKfQSxgUJrN4I0eKXDgkLt1j7R00nEZmBAoB02VLhlSjwNIRUZgZB+BFwOgbZ10ZNr62skgmreXamJBRzJ5BGF7nUnDkuxmQIxp+wVNpUf5IYy2JUZKPgr0RGZlZj93K3iDMiczRPHcYWgyOmHQlvsYHssNM0Cc7kzKlDoZ6MQ4yxnVrKvF3nPm6LPyvIdIepkyyHGD3EN+AMJuqZKqJ1FLHgCv3rFBPSqRVJ48FbKy7mcpVRQkUg8LFQGPcDokfhECOd09zFBoL+z5mMhgqGiJoAnJ9l/flaEa0A0w0imgCICGniPsQz6sGuBQosn82Q+HQAUl6Yst98OGY4LdOKYNnflRAJXohoRzCB/gwsMjOqcWiILBXD9HYnwMQzI6QW/UH+1QAioZdx3VymHPJnECUGo1q7gRieCWRq6EogC1h2EKNoTbAhEeCqolGitBmYkvAOxqECvfgscNUrOltRBwC7wjnHmEmOXfCHJjSVXqpwQIMZ10q5pJFM4hJwFQp4L2fMIhjnQgnI3e8wcwdv8jDfkadWGwUyRCzU+DDQkVEDeTQMyH7SGmgKWxw80kM1iyCJUOkvQImhUKW/tDf0kDGWVfKCk03mAuh4q8zQFP/2PMMy70vwH6zJIILlmibK5/BNsJ63kg+Cujzhrgb2q4N2VVvN69zLR0Xc/aes8/APgP7DOwz8GVkAAvAWXDGqJcCPn3UeirtvI/rmwbBF4A7A8wVsRp3uj76r+9OcLnDN3tqjW2u9uwctIFnO3glNHf4Y8EefH4LlZfcpH1Fxss7aHL1ARfYIFnlqq24uMLFFZnzszlW+3txwJVFvsL0ASsOdfV3s+2fL3VzN8fRDI+qiNQwkyreDdWqQTtwWy5AqiWQmHP9dUqNNbV976QuVcd6oyEAkoDY4TdFoUoRr9zVnYwad6QwB/WADsPVenSzB6osjk9PX7199+4///P05WtYO0eQYDhfvf/9lx//9cs//n59fan7Bd4DNA2YBI0q29KVab0TjiozAzFaLqN2qVRyuIduLzAjeUVszGQXBCUAXIiL6kypaM8JJ3DOH3AcwVQw5kLL4agPpjZ9fRGhqnFoYHDwwyA8QIqY+ybOERr5XFhxN1ONpcimvtlwo/R5UOTiyVBTgKhXNlLNGfPuDs9f42d7sQCsw3RjAyGsAMuaD/z9XWDjZ4bPTk9Xx1hiPr9aHV79cYlfC45hCZxFqMcIFnUZHoRcA76+PTy+PT9ef3e2ur5FLZrhkTQGgMyfkXSt1Adts6nFKpjv+MFGKZr+8lDRVFhEHREmSj69Ih7OnbAskamWRpQnPd5XjfigiWFpvud+gh1gxZcgi0O2SRqFQyRyaFBEwzisVAwVRAkNH8rogYKBpUKBNixnxWg4d/Rini4WumUGsWfsM/DNZKAeJuXI+2bavm/os2eA5w6cykZTLa7huPKFhx/5SLBXeXjy0LjDnR4XPXjC0FSdJxGgabbvAuXcDi4XKeAKFtIRJTBuvKhQt1BSbATK6OLMQ3s6kS22uH9gVRzU1CJukkuyKYlW9j79ElxOEaKsebrif4XhwEyXeOxBrYtUQIQrXy2FyGNpgmoOOEKRyC7Y0tQMHaVIPJ3eecvtc7TSZwh1BfoHy25+zy17AndlapgCgg3f80pMuys7IKRHxkx3jIVf52XFUYCfStzjPzfU5U8ki8XPA0LCCPnBQFRjT/0tBVi7FqjCDQ3gljsu1T/gS49wg6AdnJbrFZUUE5vxKRbczuIfSchpqNFZwwTFYQRALUlSCzczSdOhFrggh0QPyjt5dqTsKzb4YABNkU+Y8YFP6akLSTPVbA2UHSRjxH8PRZBcECNS9Ai7rC+MhTbcMB+MTphFEB7V316ThSphBBxopcd7dLMZJ6MkevQDrFW943IdhiHdsvj5TyXKXthUxaMYgSIoajIEpBegvGWEPREMwymGRTrQQxiMhH8s6lJxpGMmtxEFjNm/mL+UwPzKiDUIwBiwFS4p45LpzJAHOhtFks1HqGD7j1scduxPhE8AmYIN2Daz9OVpk4BySlOOK2Cy+W458xmYIKKj46imTw8X2lMNRtQSl8ExwqYZBKJeNKdpFd1CJmOI0US5yoxTSBUZ06Vg3B6ZUqKYpSNVZdMUAnFzsAWt4lBBos4MAjFapxjFcHuQE0SGd3XTMbdMmNvBPfwoLDFJFcKOHHXSsafen18iFZsD2UlpE8QHtfXRXh9tsCnkseyDGjKGGnKzCbnXuBpqPpaJyAvoY22/Bv1vvf1fQx/u27DPwFeVASwA41LBVxJsWF4OkVemfl0TTZsdJyLuggwNXZVMtHuNRjhSTvHE6ACP/+LXf7EGjPMIH7Ri4B+lqE2OjFs0X4WP8B1gJUESXlimf+xxx8V7bl814mINN7y83qPE3yL/sEDhHTeQeHkpihYysLTwuZbSXU/oF7Yu/9TOArpbq6HuBH1YDNFlwCBK+zpXfdnYa/0YD/zuMfqFhAeDKdJw/LDG6u/RESB4u4zLdYyDe4Idn52/evfDdz/8FT/6C117wZjCuv7l77/++Lf/+euPP95jgRCW2e7cd8234YTVVbdXnKZGT4zCHfpttEEWXbFLbWbJe8DaoILR+LPtzLCoDolBEhb0huxp/KkU7eChvLWUNo80U4g9QkUv41sD0NPATNkkhxOYojXhb69OLaf17QgjjedBWUr8yOOIN44iuFMhj7zr29vj2xO8HxlHJXt1qlOdLEuqTkPhEMZp6Pr9+xe398cvT47x5Y7zM6wDv//jjzuuDQ/hhswKOhVP61WzpeAL75y/uzo6PT5+fXr0/vr+3/yu0NTYQ7rhYlQODqOlkb/EbyMJWh+5eLBzoqNLfkzBOc8lQ0EdpLch4o5ia2OaLSFak4KC09iUvp2LyaHnaomWK6QGnVBNhEZWhhRPRm7+eAtM6DJeoU9NiD7ltUDj7ug0+LnPJohW+eulleevt3mTln1brZ00/quofh49+HlE8Vl2aJl5da7haQL/cUOHy3zMt7j50pIvb8Hw06C4oI0612dwVsOEzKUOXdHzxMIpmuuT44Rr+qaNV3h4srAi7vPApCEciM4tGbwRxD42Pg8gWt6IcHUV+lwsUmDEwHlCi8A6o2kxBUEOA0Ik5bxEBWpxzUNxyAKrm1ze5P0vdLXi4VBpyX/Y67xEo0N+7ZmITEg+QQ0OCgX1zC1omjGBtJdrLfvAnjXFC0ncZPGdrwBEFAq5IhG7P7eGAh/hpk+4ih0DCEB3nIMHbYJQ6r0gUNMynjAYEJCjeAGIwYPJO0E2gj3wDEW5GeO4aZZBrcRjvg0RDzIoDvpAyXfkwWJC2J1qNWjEbENs/R9yc6ZBRBtxZ4uRh69WwlY9DX1dmcgDE8WObFECDnKzs65+hzNZM5NoE2oat+xV/Cm1suInMPqvY6TEKjUD51ZxCCw4GmQ8pl23Q7SGzhgu/wGHdry1538UjHOBR7T2SF2X8EIIMMDlDjbMOY8hDB7QREDz3DYdxlKXgXAMA080R8kd9k6LRi9GMy/pKXRwBhDNgHLmCGl2LgFRoBbdwjmOB5E+sGIG5A795SPL5rJOTFfSqRobcswyPDzdOOI3hfOmGQ6RlZK6oqkvThCSMBqraiDbCTxGbb/hHRya4k9Rc6KQov2ywpzFji3i88Sshn1EECAlHAE6JqZDPaENZwt7UkRybasDPCKuLqWt+NopNpgouzooGJ9E2Pq/FYPr+CBATGARlE2QE28dM9kAxYmA+aY6A/PGcxocMTti04XjItXT5pQtgT/30jblM4w1U/gJwkxX27LwoaGEnWavbT728i8kA+jUXcfNF9KifZj7DOwz8NQMHLzwE8C66MiZP0A3nkBCmBdV0zh8adNIMfsM8BqFKUKvDnNcyp2tj/76+hia/BHcuHqa2X0QQ7HxisuXVLozig1uczJMXlYiEn+wzqs6XK7q6hkbfh1WUvnXZKvNB4XTGnHdCI+TAttP/8rJIJetzRL9gWZLcFN+bf9UsrGOqJAqGDP5H1bcMKI8EiIzstGOmPocAUvCup3APgw1ZvCINr4XsF6vVkfAwYdEGA/8XIbjhjdlK3wqcnRy+vLVm+/fnb56jXdAQwJQiKGPd3pf/PHbz3//2+8//0RbsSmuhV5cpinu1KrBMjUyEG8kWILpdftaxlltM/bCebS/YpngI5cTJVQXtcaC4I6FLfpGjUbYkLxbw8u/0ZHoYgXWClvwDWH3aoNah9kN6VkfDKyXWY85MDd66gJc9rcgGVhXVqU664cDfDMHv5oOJidy3113GqosWM8V5xzk+eb6Cm/2vj+9Pz47wQvez1+/vr54f32BnwTm93WUkS0OBuIBa+68cvDLxHgr9dFqfXp2goeAL27uLq6r1JQhEc8GbIlSznwlXSDUngpiClogeALVYMFGdtKVyJ8Nqc6N9GOuEzKYVOm9EXPCcRjaIjRCxZ8QQyozzZoKP6oUJlpo53yqdhKoKVZJgxQIKyu5b1UbhYZMze17GWmD0whH7KSApYuOCXtf3Wdgn4HNGZgdS5vVn0n6aK+PNnimQL9lGORcMz3PYD6v5DzLPa7KtZLDtUB+BI8P4vUAMK/yeUHHUw2f9GMG9Yk8aa276SagT6zV4A/GUNeqCRc5NNVrwpeAHlG0zYUUXkYmmEifCRSF1wVisRq+cf+Bs5tWELBX+9JzQnhfuDyx8GwqF/YDJwyMzAhEK29mwFzhFFW0SQu0fEwageP+mIuEfBaXwTCJCqh3zxrxg8tTaQKWPkkL3leFYuoXQ+kg1EgJz+hoNR2TUErZPK5L0laNUmO0SJUNsQhyn9IJAlptCTvKhJMxw4QLTSrqMuIXIgRSbmnrb9hqMM3kpYG9hK1RqMGGJ2abYxDBe+GQ3vGnhnvreLwNme1Le4oXNJ7XStD1UGJX8iDQ05oU4XiAMjKjrCMc3ynj8EiM9KM6wUqJA4Grm9kPlPF6HXVveSSYQRWtgknkuN2wAgiiCdhsJAg/kKxhiHd1M3gliOHJKXdADpcCRALJkX3pUGEbkjJd8PLwRXIQv4Y+46MzbMgiLQVeG8NC7XSugBN54I5jLdzRQYRVNDiMyc+ieKlPwiKxqFQI0bSgNTuKgdqrB4YODWUhHcm2IqCaHOJk4XCjb40ugOgoi8ZYJ0OKGnYZPyMsBccOxwwLxioGjEYVwO1VCZFh1G1IjoZiWJoLF2ybu8WkesZK0IEk/jWVsE0k2RHGUdHA7WpQGF40FlwLqBgFlso1q2aybxEzuH6fgKupLyWy4JbQ5HufW4lwSEiBuUkF8TAKnR0HW+nigDiCLRwCTMqMMZF/lOo0qo/ihKCPb90nC21Dm6dRq+M36O9F+wzsM7DPwD4DHzkDX8dEvML5ZXZh0LHm1w2bTovA0mXsNPmdj00AU8M8bR+vDt+9Oj47PsIaGd7/3N7tzEy2MxQBY3Lz0UZcOXnRjrsaLRXtC1vc0aJxuKMlbSe5i/12z4/QgG8EgvVfxMPV3+GvSz4C7+OoMolq/WNSwLTmFZlvSrJqFMultHlTgdJ97jfb+bI8e3GzbvUBPUarnWx4OY/bOiztcQQ98KsJt9fXuMPTCCITD4yfnL98+f27N999jyeA+WpoNZxX6vgqw/XV+9/+/cfPP+FHf9HPq1WsH8eYK47KeLN3+VIAgRX0pt0sL8nI/SZjyXrFvlaMC9tE05EpyX0x2ZGQ3W7Gi1ozgeIL7kw4C2yjhoSLGnDEXsOa4PLctWg8C2TK6Cx3G9VTiHG9Ax6r7MR9Gs7AurIqNYoEk/bD7T3/6Se613giGPnR4Sn1zdYjxDkPp4X76xs4whS9PjvFV0GOXr08PLq8en91d3ODY7c5CqbWU//T+lR/qQ4vWIO+vbnCbxKfrQ9enRxd3z3gXdS1pbJEJPDAkzR3isusDleT2dIwov7UhvWa1tIGsekuPktJJ/hY1l+DIKNqx9yaWtrjoymYl0IoVhLS9WgLPwUpcLYioziQXflgRu3vhPKSHlRpNkv8LjymgTYOiNuaFWFlgBk3PymqTsjNaMXW2OlUqMzP7JpmVPs9tc/APgPLGWgONU0hy5pfnaRr+lfXumdoUHOm4DSM/1rVADI+sfe6jlfUnMnK1KIFT1NAQCkTuGOaVM3UlqcGFFnBNjqIczsWjZrlVnOET50mzhoh9HGDOIkTmFyJhUl7jkG9L+kZXMdCwiqoKzBH59tihueQrI1taaM88qxHz14oZ1O0Rk5tKBo5T3KGt7PiNpwzCpDyQg2lhAQ4ZhYRCELLMGNAlUFIvxCs6T+l0udWFI3NAuECc1y76fKN7/1WIaQNVYWFS4BokdIK3Po/NKFke2/7WispdKdfuCBgq2aBZKr1n1FpHILDsVpojF6LGgTHwq36EUv7DS0H6Tv31Rg2XMbk1VvzOnT8lDB4XvWEDa+5ubpaclXth5Sb0+fEIZW8Ac0t7eIzUw2Zh2pXwGEYbbGjdMp4JQ0EoYU6Nct/K+VSfwFkRpgN6rLdXJDD49Fa91VKRHtdUxpYK5dHh1FwlggBz4VmcyscdqGKA2HQGrEgXHgjgJGsbCAhHCTcIa94doFzTs0RbaBYgJEC/iPXWISilInFP4wfdzWYIKyTJqgxZYSTucBDBbtUd2AMw1MH9NuQHNBkKzxDQRt+DUI66kVoIu1zz0aqxE60bkJ8da2IGWHTLOjIyrbYFsJQk60DUaQ8bmDMnbOHmpPVuqe9PHIfWYZH2CAaJBzulDMS1OWYwweWNOrvJSTcvAm/1X2lNhs+q9Q56CFnvBmj19+p9hFb10A/R6RtcxroZA9YKer241A6blfpjL+kChLydTTkS0r6PtZ9BvYZeNYM7DqxP6NTPAFMr0ue8yqjeqyalapSXbM01Q3k0Fz6mMtDiJ0mdqyivTpZvXu1hhxrbLzw/IDiK1Bdv2mVF5dN/AVf39cCj1U65h8up7zc6wtl+rNXXr19kHcgPLpg+ZDrv/B8hx+J1c38ozE+ioH6h72jZCAfYuziikb6D+W+H53VHYCKCoFslYg7RtDYbbNIfEZtx+k+JLjsPjziY9p41vAO6z189aqjejg4Wh0ers9fvv3+zbt3J2cvdb9NGcYZRtfN1dXvv/z8/t8/XV1e4BYDzw5qbGnoMbEeevj0RN87SEyC27U521MfgdaWijHjVvmManQbsqZEBkViItMEmRhFPEPfykjT3C8ZLMo3ChaFxc02DcmLEoim7QWE84y6FE+jsuc6nWJc1HcipmYxInayXVaaoi5rbpU8GWoKgDoSV7mVWooFn0xxgfb+7giPx67XWpHNVcXt1kuoyTeCtnc3t1hbhquHs5Pjk5NTfNvj8Ojqj4uba7D5kURbxp7H3NZuE4123lzdrNbXx6fHr05Xf1zjpIFUda7hIfIXAXE3dBtqc4fSHplgDqO2T6L+WAy14BqHtRik0KULcWioeDgx8sMOwwdrGJ+8WK34UMh1Y0hK3d+h3bfI/sWrThklWdoIUAqVUnW6Sc9oixqBOsrc6xaYDhaRACxa0ksQOdCf55DvkPeVzygDHkSfUUBfYSj1wH/2xn023Tefhp69rV82IBLkU1VO/pi5sXaj+VXzOZe0cCKZbckTEwg825YuLykvHGfIfDG14cf8IPRHeP3FeierfI6VW/yXvjQ18wOJT15yQS7jUvSxrtMFZitFEIGV+MSMjT2kMgNzcF5O0hbfPopoKWVo3DgMLDsxGqxFc51CacED0lwaFI4zzIWiLKJiU2lBVqVU9l7uKstVbMupUBHzmssi8HsT80PqxWw2gk0lrLschKrMkp48xm0dxXOo5EzibastDYwdy7CDYNvyfQEFDv8rEowFNgFdpTeUIWDqOznZotpYqEFBufAgQqjQd8A0LAW2utpg77FjJcSGtIy40smulzGHg3Jlx0IpcJN0mJ9M7hGPQvWGo463T5BwWVNC0tSEiPraDjeOEF0HAj1ILH6Swh0YwGB7PCKJAoZww5ErBOaod9OGbpQ1roQ6Sa7Kh9XlN5JTUqIkLcCN2dFQhVhiparjNh9VHobMilNbsFiFDgKQptYStVbd36Aw1dkB3tOOpvQvTMKztaoJj9epzLCcUSwioGQYThOHct0TC4mGHLpicluyVDjgKYLYUglF4TCWMFCfqoGSWIlb957b0G6rhrQ8ctWYSFRpTNX0WOjGA9vrZoKIjCAdYisSA0sHF/UO29HLb4A7bcSiBmwQKgNQsonGP43X4KDK9y0Ehs21tW3AErCSU0rBTJmfqD7yvSHUTxRVuhlFl7I/a//BMX0+af2zUrf3u8/APgNfRQYwmW2cCLfJv4okPLkReHRxhpEsXyRBbJUu22TNLRtWARH8QLXRnUWQDF0lwe/58eqH1ycn60Msg/J3Z3YuESYgcJ+H9rBwydeLvrqKA4eXa17v1dcieWvDq0nf7jAGUn2Ddo7gQxXhDkFiCQFN0MuffcP1oXDPY5fdqA8dePjh/84FxsWCSa3FlQSv/BllFao39oG1zTxtQ70ALNoVDRBQavSKhFfn/FHoQ7z8GZfht7daq6WY/KOjl99/9+q7H16/fXt8dgYOr8gJdICVmcs/fv39p59//eXn28sL6GMBGRfxGqKAw7e42fYYgEDWrTwiv9fzo9hzoFKFBbAmtG3i7PjKGYTSbpUa241kcWJCLYFBYRc6wVOSe6qmbKOnEFpd1gVi2W5RZaNgUWhHW8RufFECkVmpcaITPUhwRPN9aOq3Lg3FvhptpQY2dUBstV5SGKAuqW7jPw1qbG1uyMYq87Coh+Pt7n6FV7GvcJ+s3O9qPcdrODMQuHm4xO/x8vA8PT07Pj3hEf3+AOuyWIIux0pnhwoi6liNi8eQcKoXQV+u1kcvj4/enK7wSDA8AxvNtge58ugDA/9Jl3rxFgLVCw1CHzMUu6Jewi+6EJHWuTVcoM6CmiieT3FW7SevCGWys2G7DRCduQsOiKZYxbxOgvlXTiMKTbJQoA5D9mGkwIkGdgTeYHfkUMM2dMVnnXmh0ZWhTafRVhDuDCHkyLAa0Krv6X0G9hn4QjMwmSi+0FZ8iWFz8lfcPmuhilmXyz64NQQRq6w4A+JEjpf+PBzi5T/cksO3HENbE7UwOCkvdSXm8hDlDh5J4nbPHNwJoBpbiiRNKznguZWnMbpBHIwKRrhRwBUHLj8QzyQw4uOvCcy+jFa3jkR1rZaRauNhVU8pR9DSxCbDkGuudCEhkR+cApFIeEbEcMpdV+rJLah5ZE1UvSlVQ705FTKfOi9KTH8TSCect2m0j6YUHLtgwMDBf3yDkC3IK4FyiSA9u3CH2TC2irnjfOQKokXMGgvypADqBU3xnu2tDKtzq/XVIpgT7OYYdMoHO5mdi+fPmXEODdAchDx8wKqZZ31YxA+hY262HHslYPLL/zxe2Emj4nSw06LrlBlVOSIQObYeGQlQHFHALpUg8Tc7Ymba8YvLcU0PuudDdvh1EhyUoDhRaHhK3VHQ4bbCYByLI9FWIXNjEYL2YSshEaNtHs3YgqVXmquPEDM5RZkGKMSzN217hRIGDfGf8yM734bYBp/1ahmAlWExXTkoEHzUoYECuKGqagOYDSvzoGKwOUHZwQw1CnPtf2BAXlrBaippT7fotEIHOdkZQaYtWkC5URAgLYyFhSJliW1EgxY40gAAQABJREFU1RmjJIv5pQZixjE+toWAFkeqOIVpwkwJQ6HQS4RDXZJ+DH4JdRP4TkqbACD7iE37iNBbGrUX7zOwz8A+A8+XAUy1++ns+dL5mSPhZylrd/Msm1cc28bAxjOyQJ7act1o4BJudXT49nz9/Us+H8nnYHeMTI3h5+8ouuDTqq9q4PJSTAWIoqNOOl1kE7F/lgY9KiGIGUuI+EQA4WlZMS9JH4XybMrORaYe+yR38cBsp0VjV8hM9Aas6j+t6jjYZl5tFXUCLHsrGiBg3OHHxXw2B8Kj1Qo9hbe/8tsJiApfvj46OsZv/r55+/avfz1/893RCr85xPGFUQT53e3N+99++fe//vHHTz9dX18DAePxFve5Gqj8dMUjlg+o416O979EQMHQPDrCG4SJRVcaqnjsWBzJuaFmFNOK32QKc5+K4/1MC4zMR5EVAhiZqeTlnkGl4djVjMs89o2ZqSSjeElG7seCyjWVQdtKtaqSULO9VIoeiFH7Qq5vnHBNH19eQV/V0tKVu5ka2HSYm62XpAPUJdWN/KfhtNaga888pYU44vAGhZu7F6c+tjSqKvTG5mwQdvGlHj4lvsM7pq85Y989nJ6drk6Pz3AQH11cX97c38e7K8J5aW0hEuaD9/CLJd/r9dXx+dl3p6ur2/ubWwTC9NmpXYXD5EIUnNYxPy3BnIUPKoJb1aIBVTtFraClq2Z6orT617meIaYvSF3j1vNmYky1NDbyox6pyoZ21UULTKAiYgyJmCBFDqIJqNqRmhTMV5yvGwPQ4V9U0Q+dVrXIFgnDj8U4XaiHx9I999NngCevycBhEBxrCmYgS34/VhobAehobKxFNnXq8xCQcnoT9GCjEdgNw4pUqclRWXAajcJbItJJtQE1bemCcdpW8eRk0ChU/KrdUp3XWtlkxkMaZZNK62FKP9ru0QZTj019xww3Ft84yaVJdkB0AnZa9mXdJxOs93JtQE+04moCt4qg+dUuFB52zUS8MfnhAEYaX6zq7AEkrKDBlMuouaV3Mm0EPbnDlA9CvIgK+pJosYlBPj4wQgNSQYlmVMkUvtcanANdHcilzMqc5zAMhWi5eqpLCQcLPhEj9qDFIItnUcu8dhICXYRwMZH/6N2YBSXVMiO4ckGkcgiRutUVI2QIlEksXGEGEs+oENFITzInFIDJZwEhShvZ6mHnrCJdWl82BJHCLnGN8vhthgK4GANKDNOPzER4TJiWmNIpA0BhlX8Ua2nVNLkaeeADxEbFNHWQPHqBDq7JkCHmWJ2NhqPjNCDzx29xdLQTtXoWONtLesWeQcaoI8lBxAh4aLDwS5U4MHjUqrg7KAiGYgUN54w6f3bEe+ukJgHkEQxGIL9YwWVLYcpFPKWXsuh3EMURaf5jm8MXFVVkAmGpJRmcXXbGgKb9FwLV8t9C5obxcku17AYyypTBQcJQI3OzgKBMW21hxw/Meh01VgpOQUoJmlY81AAChikSHCIVmHRa0I6oUVxlxayMJTispq734bgwoZF0BkBbFM9oplktVEt4qLfbVlppp9rTFv21PlHxIUE28xBCdgmqXYRGFAKzRZm0BZARKz/oCxhDGASqeO5esx2s3PGlTYUAfktnAyKirP4Z+1EII96fEduuPpt4G3JX6416u+BFz05Vp3X76bhdpY2DI2xR2CqKrkc9q8t2naSrzCA3wdjnwKRlCX6bj9ZgT+8zsM/APgPfVAZWnLpHVwZtFqazKC8yPnKBh/T68uTo7dl6fXRwfYsVtsXHfxmTLpxwtaQbLy2k8cZZS2q+aMKVFwoX6niBxQe18JG5T3Vtm1r6Izd0DM8W8O3PaJJWFu8yGWP1j8l1T8g/N20gu6bJNrpIaM0d9TaQ6j9t42pjm2GBlx03CWDJwtZK2AK/dzG9ZEedj/9ieRbXSnj8F8MKF/x47TN+6/ftD3/97i9/AYGe9KU89/cP11eX73//9ed//O2Pf/8bPUsXuK9Ei7Bw5Pjok0bABsl1YSwoczHYK8MH+D4Eh7lHsh5uPPQSDzG81lOEij9aDR99cxbaP0iTEWDd4qVeDxrOaqpHiVzy/JhLTmGktxngWFC5heqjV5umrAperKAHml3HAoOZTaMKqQ5n2OAXoiNtnbx62EZNzeJQ2Ga2ST6F3KS7SfY0nGINwsmMlBbBJt8bZRhVd/ztZSjh2MS8yqcTnlIWQ0rBw8PN9Q0OaHQ4vghytF6dHfEngS8vLvmrvOizVFRba+UpQRVbTALXl9d42/Xxao3ngLHu/J6/elxL0jpZKpTkVB1RHN+aiRjytOS0Rr66yh9K9EcQzOSlNYdyVoEhF2Jkf8PAnxK1ThujLpDgVzEpTo55RKaC2lI9l6gVvdUdFZsMJiuJynpbkt/yKp1SJI3JQwHWFKKqYzC4I8xi6+W8aiQl/jJQqu33nyID80MiB/Uze993+DMn9Alw6uJdO2RXvSfEszf9SBmoszDuw3BdjTkZpwVO1Xqozyt7uJrH1TnuH7GFHHeSmO4x5fu8xbGi8TIIMSZ8jxCdYUly5YZ3fCD8Dxf+NOYuiHZM0U4nLq7q8FFDrG9FPAeoIFiFBxWeiEpgOr0MA5tFBc8OQSuDDg8RtPEwIAXlEy7zhLsZhlGWEVFFPEgOb8WRHG0UQG1N55ptZrol1hYUz6Wi6ShlRrGirbh149hdaHlcCNCpNFLZHtOF9tEEZZWtElMphkRr/eSYm24Mx634fB83Cm7QUHCViTa7pIJqJZgQbto56k6jZQXNQUcSyeWWXxfgrSiHDfnithgRMBXYNkZHnbLya12Zha0cyQVlYLIjWbwGTBpSfTGCTqHBUadVYfDxPy7qZDPYhJvStY6QAeIIZF+oMRxD+oM6WAoahIorig11htoWDgcu50LbA1LxczBCqyo7F3ICVQXhSMJLhklo0hA68aqjjfiHbgekpg3uMfi1Jq7lZ/aMDgEowRRyja0mAiIrTBJNCc8OOEKjGDD8L0I7drpGO9go7AoTduXx0KKRL0Wqo0jGjZDF4gRiD5R6rEGqvLERckFk9bnYtAsQkmymQCA0QS4LajIAqhea+b4F2hJPxc7Js6Ay5Zrg+GchCdpChy6lWvXtWSiG6kOxtjz7wAUM/kPVW4EGZAWBF7iiBnkosVOanCUhcAS6VUJTqyku7UxbQaVH+UnwaBqjVhudO9Rw5OLUAbVwrhAsJapLxJXVdk/LP6soORPno1D/nBgf7XUU+qR1j6oO8DjeUbAZCB8FvlfeZ2CfgX0G9hn4VjOwKucQnkvyEoanlqTbzOT5JvetrJyN5oZzTm84rUFfV0UIA8td716evDlfY3kNS2xxUdUb8H5L10TYwJQLZbgF1Q0n9fHPa73Y6clJrvuC3zaipXvwT19TLPpRWd7X4dZZrf7TIsxrDV90PD4dtM+/x1vDVgEQxAQSUXNRqSVoXywlxpJW8qFnyB44zb3PGkbaAX5YFOv0ePb3Fl9NODjA9xTO3rx5/f27N9//ZX16ypEnRGwx5m4v3v/y079+/uffr96/xxikpPETsNzJ7P4WeYtoMK6PjjC2MbDxs8K+CcYO1fVq9XCwpt79A2LAeInBjlFDn8DiaM/79WzoeB8hhLCvMay0MqHYmgZA3mpE6GmzvE+j2sHLuilJm6yX/UCQWZTOQF5sTWzSgAzNwtb3vG3jE2Vuzg/E0H3ocPYrjVP3EfupTSTrEQgj1SnqSGcX3tNwWuua0uC2wl1Cmekw7fhuBgveAb1ar/AedX4m0x57M6MxYzGWqQCHKhaAr/64vL+5Pz4/OT4+PX159uLo4PL3C/xU8IeNgHFIMy6GGb5ngBXo49XRq5Oj9zd3l3gLNEfevGg0KuNOe6sDuvZFmoJjnUKkpOxbI30sQhOqpwmmrRKN+IgC+YJWuOexZW1ws6S16oUvC30AI35CqG+Lw2xIwCdiqYIwYIGVM22ojPCLBNXCT6DY9zr6fGei0VfZSjWZ7W9yXfi9+r72Z2egjNotgXhgtcNhi8Fe/LVl4HGd/zjtHXP1UUB39P2lqvm84eNXZyE2hPMxZ2qdo7ACrHccawGHpywtzvL0iqs8nCp4LmFFZ4zNXcB7VRV+J80ULhR7TjJ4q1HOQlSGC2zDC8NgIHziV/Fo9Q9c8nF2hAFj8pmLbQx3dtpuS0wCp1OVCEMxaH2JwUBWcUDRH6G5Cqi0+AdhXXXDcCeC7NgWwLSoJRqTjKwq3hIy3MqztBq6iSQ+PIAX9ALdochpICcwq4lgzACRgowUqhDQuwElFHazm1/Q3IlcriSM/gpeEDS1J4HssmksU12NisTpUqrqWIQA6lpaNMYBGyL0S8DikglzqgdJhg0kYg7F0lWLeoUsML2wyiVnDjj1KjLPgUcTWgmHBP+GpU9aRBDxMDCMOhwmIGStKLFRuOQEPwMGPw4QX2NJD6MSasyM1oCJFCEZlDDEkiNCsoa/cOMWk1XUqcyqbq6zaRgAaDZ18EJj7GO9Gfce5CEs5I/fI4FzMNKKSIXuHVAU0dQ9GYxQwZQhxxSl8hQE2nTOLVT4ZRUUc0h1hcjwJZ69tGiWwpbyHgdqpRUhSpCKVqxACIRWBlU8ngOBU53aizlNbMImF/+ElDD9FbU1rJxNy+6MxgSSI7I3fh0CfYTurUKG5KpiqyAB3mjCkjoICyknVBJFRxFbrbgoTS5xTQhXrcatDg3u9V8MseXFaiQLivgbNiWSDTrPLqpxPjt0A/inNK3xvyefkoEtvTcXa1B5ZDXC/ppjFFCjnAc71Tr2yE5KW7RSnPsdcHc+cpdi2vP3GdhnYLcMYLpoDs3dbD4frQ+JfjUJfzZhTuS8lJixyAhuLx2r2l4XRAMoTHi6MkJHgHxztnp9tsKzkNf8DL8+/ktk/eHiF3cy/Ic9r3/DmKu8WvnKd+VyQYzFMW2KTGp/3gZXlSh4ABix3vE5Mty4tNF0lVbw3DQc+XT5gccEzfLvSbGx5xDMoxsePb7F93Lresmkhi7ir/8e6dd/7/hLmycnJ6/f/fD2h/84ffkKQxE3M+n54Pbm5uri999++ukXrP5e4Ed/eeuAohRHlkM5WZRJBzsAPdx68N/e+RCjZ/5h3Gvgc786OnqBXzoFUHzRATu9mZqPGtOLjghKS2ThVP2UNFWXCiQ1rqokA2wsBj8irxobKcYzgp0Zyc+MC8ZYULmVGlkvmFfVxtxfkx+1r1GqlqTQY/q0hb3RS4a1CfYUdt55Q5QtzCnqFvVF8dNwxtbkjiWLYcwFBcB38Pp93NUKX9fAz95fPwK+4BSi+hqwihAf9PDnBa6uuPJ8htdBn52enuMovfzj8g7PB+sdFEX5eQmcNK4vblbH67P14dvT1cX1Pf6PjknPQv6UY9CW+LiIp6PZlEGjngswny48frElJP7kRfDBm7bW7IFQxtKGEEUgorI1hVOtSfFDuZyDUmK+YEAmQKDZU94dSh6STiF5iZl17WGtheuOOaykee6HSnvmZ5OBHBeDgNoBOBDvWXkYfiOZ6G+A/sRGl4H5J8bwhbpm6tCP5ZynE10wIcKpBTeaWG2FDv6LwMmw6Lf0UgZ4hrF50fCCHKq5MkcFFwRA0CglkggQUgaVUUELCJYpKgYMc6n1p+xE1D7wM6qoeknJmD5nCqoEQ1N7Ad9h4IZE33dFGLgJ4qK0E+hVSYXhXPnyQ85zliBGFgGiQpaiAjGgKUwrtFTKrItGPUwoyCL9wmeDUtLuyUYasfMKn6qMJEtQNge/4JgumoVvw8JPnM17NalXUT5bFoJkexGt+oud7wEAJYuKdvEOQnR0EIIMEXPWf+RgYzRXOYUa8XmVheQyN+Et+9PPwGbmkD3YuxU1dxOOXNd8uoqtYqIftYsKGl0MKMN1K8ggNwukJQPmmaPgk5SFwisqRgvs2EHIEKijwFxn1cWYaBHiZWKYB+7ZB7oMza+JUIUZ4yIwKeGFDmhSfZm4c9VRgU4ppyNjla3SW8NXKNRnPOEHUkZCFsVqHu31j3tFV6opBxtFOGpsHB9sMbiaaaySW0URaIQkWdrpJigEBuYIEz8RtE+7iMOGijLVACqhgkhmsw+TCAE7y9iAokVbVJgVsrlnZiJLRS08qS5rI7RI1qW5oDQRZsPdfAKXRDTQAnccCgYiRqLCAzO80C+5+rUAHbASUMG4YWI7m8+24b9Vnel8fMYoCzPenxPjzl6beBvyKbnj+PjKClr0TMn5yhKz3BzOqSra1ezN55pljL1kn4FPk4H9Af5p8vxsXmIBmKcaXch4ghHZ+dhwLqqiNKscwXbVDnVaIUDOd5Adr/j47/n6iKtYWjvhxQ1mPm207MtFX676Qpt3IfxcHZ+3Y9IUjXsbFV2NB/1575gr/KwsF/f4UjGseaMxnzZkdReu7T90iSLCdZc8JfTa8N1GkLRohP87WUSkTYyGaBgi53pg4ysHK7xS9vDw9v4Wz+eev3n19oe/vP7+B7z0tegDDgPx5ub6Nzz4+69/Xvzyb/Qoj7Tww09HailmRK/soIhFQWjxndMvXuCPhwRfFw5QBHOEF0fj4x8oIybQR0frY45+hKEXqN9iDRjfKoiDZd7FbQwZgtzWKJLtvQyK1TzsXntSK8fldrviYgKhpEx5ThW4i1bFYqNGIyzkLNQiKZgNASFv5TBX8fvg/DKHJrgZSGMSZAdbD4W54lbOxFkHvNV4MBJHAZo38bQJfBBFsAaSTUBzWQvgiPgzwPe317fr9foAX5DA4QGdrcG2OJ2XRYG1qhhrwDjcrvWTwA/3py/Pj89OcYxevr+4ubze7dsAneOdKhph+KHx64uL04NDPAT89uzoCm+e1mshl5rtmJGSGnzjrDAnCvjYgZ9llYLUlkNazCbHrSnmKkxINmv5BSiJTtiAWZ6e6Tbh0lINTQUwOSX6c7ephEL8IfDeAYw5UAIjLjIMTyxTW7ZUpCY/A5qoBoCh5LxqzPI4sd1XP1UG+uH8qbzu/ewzsM/An5SBcnIqBE4EuMnUd7ZwSuhWN7nihjs1frMS6rbAzI6pvMzm8zMF1Nw27kCrXmgu5hCpKDW09W0c6wqED12cBBGNggGLZyycfGTdnh6HgYV3IZdIQBSaUaFocZpMlBKhaHLkjl5LlpJQFM1ZGvU8s9IQJZsbNe/Ml6PqtPgVKFVaZdHRcInm+aeK3BGgsa20QbQ1k33qhBf9IjWGoKisqCZQvdFHq8G1epp7tR1hgKG1rMapQo0MKF7G3Mid0I4DKbGgpm6jPq9Z6IUdaXPX+JA8WBx+xHQg1FNNPFJNr7ES3jI0VTV4IHKRDUe11EO/Goo/2UCJbW9z4mxkV3a5UQzENQFDwXGftPHTd+MNOsCcuwMYjkfFQFjFwsxIH/bzAAhaDo3WL0ycNDNdBZ1ViUPHPEJlMcfZpxIK+w079mTtjIJCSfigcqOiijFkmTiZVGmXTQVE89OPgKnilsoRUwGORG1EBUlC+215QZcmL9lW82zXAMui7JXcdxlS3sK0IBTvjr/0IPiIh66z6aoFy0eIpJVtCsjsnmpmOjnFX7BLQqc4+/rXlwGNjR2ataveEtRT7Zdw9/xnyADmJk8fZSp4BtBvAgLDel8+2wx86ZPOs8X/bEAbu5oLwKMDYsrbcFXV4dcLFrEfc12iicxXS5zZcKv519fHb8+xxoZ1Lq7p4uYWOljU8nIXHFhbiypeKtXaLz1zcgwsBfLFbHDTgyWCI75JCWve/tDhUwWPzkPWlDauTG7O32CEOE5ibLHd1iDHQC3EMHU0MJZKNbLdQK+wFpo2Y88YRuBdJR/Q5iPAh3ju9uXrt3j29+T85dGqHlDIJjrw6uK3X3/6168//ojXPmv1lw1yfip4oUxki3OfYdd6STANsLB4d8sfzsFqMA44/CEqRsifCwbB4wZe9XwwomYP83F6vFH9Nl4Oi4MLRW4iFOxgE5Ukqn+qSjhZNBHELpu2AT3szLoEMZWMBcEdC1uIjRoSLmssS4qHVNFtMVeA+W0OPMbtu+6iNiDSUqJuVA+UH8PqgB9j2Oo+GWQAEKyBpPW8nd4AgLV3vFP98AVemX4ZnyIt441xxtwWpdNwBVt89+Lm9uHiAp8EYQ14dbI+Pzi8fHFwfXWFw7Y1fyod7rnjjx5f396sr9er09en6/fX979ebHz6fOEg5EynIx0Huj/KqNMC/CxYRUOoSiN+OJaqaZEw2gOb8wk3wW9IgkXLAjd3UEIpU0mw1fygrWF0ssKRpWqRkYlhHPlXzDOnEsHUUmMkkpS7yVDoyy8aZ1rtm9GpzHFDsN/9WRmIHoqhkB21HE3qL2tIUtWCqozNltDz4RhqaZd7sqWzCaYbx1NtIhU0afYaNi4aAz8JLxErgdLadDoDjIbVu5egP+IbhdZFAyFyyaVtlqSauSBEkaJcuy7mbMOZbkGe7NzDtiFnSHvGZ5UBnQg1ZWtdihfMLaH5PJaB2bFedWILxn3sQUJQKWBfaF+uC6QyXW3RtLRAcF26y1o0ooIId45goeSFvSMBc3begUTFITF2ouqviUpgZFJmYdTI8blMljwenZwMA/E4SGoKmceSmGLkpsGTPL1ZjlhEFC14SY3Ci0hKncEk/GRPfh6tQYOjplEzwZ0/KOj4rzG4SguBeBtV7iLPTJuTI2Z1hOpupbhu1YFZAnCobKmY1EfwqUCPw8Lxq9a6pSVORr6YNDbMyHLPixwok0Mo/C+/PWyf8sBQHVVNbxuSomCcIrT3ZSM/BaKi+doSCiEYtxhm71C5FEgdakMwagVbiKJOQoAmqBC+EDybQMcaBRZJ3myihVBDQqCHGGWFRmR48swTIhSsxbaAO0EsYRBMRZyaIjXfImxDx4qulngzwMiExgZ48sq9W1YxEAlCirqAHZuYMhCi4WQegyXa2sZizQZQSek0SkudGugKWe2T+WRT8hD8JnGRRc5w4yI+N0g9NTxmTVcL+pcCG2SoQkhLHRdUMasqkYciKYSxWAVV9EEsFSchzGrDyYgWiACtDmu21MgOW0Kf8iOQDfFMLT5x/Tki+yCMDzLampxEzf3cYFnig3YmnzFy3umwO62u0qrVOWlRpVdvajtZNPoiH2H0CNWpl6+wHjP74rT3FTb522ySTxvfZtv3rY4MPPcgwHrVdkhecgyLr0M8H9crlKHqFub8im99dPjDq+NTPv7LBxXx8k4s/OrCJsLhmjA/1sdeS8BQ8ly4xdVTxIuZeAposUU68TM3fPz3gGuHWv79BCc7NYr3LDrp0+FjnPqeKIweb1waT6JedSgGBLYt4ZAr8IDZHnivUeB7dl9rQ6SEd2/4UVe8T/b45AQvdn315uWbt+vTMyy0lswhqLubG7z1+d8//uP3n3+6ubqOsclr9aLVUHZZ4ml9dnSGpoYzP2JkDuJiAAu8OBzxU6A8Xvy9CS4F65sFfms03lyNpev1Gp3OgwdPI97eYLzhGVXFBxwS6YwRNKHBoItp94rswhg7YDawPcyii22CRbnxG/HQt+RFCUSvVSR9tKU2k/OQZiccILvunqLbE1NXi3eSvdn22iyk7SZDjSfjTAFqvVJDz9uZ2wAwzPkDAngwAV+LWOFHu/PDmQn0NpyJeql2dl1FKvgV4uvbKw2A0/PzQ/xS+MtzfI3p8uIaswQOp36MFdTHEL1TDB582wDvmsaPHp+uVq+OD/+4xlEONvSG3szkxyezgQeRIkwR6w4NZywt8RYG2DyThIYNgcePIzpYfshSQEAOSlVQxH37GvM0pUJtnNsBjBYmVQdcxaDrmWVHLdQoT4Lvzfta9U9qEaJX29f+jAw0HdeQw0ggr6Pbyu1IGdokU8NOwzE5+/0XnYHo0C+6Dd988OV0VQikBDS2Po0VGgQKmChaeS0q4+ldGATDH3fcA4BbU67M6FDArik2qdNP2jIWXHBil2dExwhTmExP8RmSpYSfRQWOn7y0tAbMuopM5DCaA+6WMKDRuDYMeYVKBTeziuDeERTNtpqYk2CKbkcUw0IUMXAEYQnbMkGGpjg1YGiYk5ol8oI6bHKV7k7BRXdBJUu4d8zqZXhnzTGNkCmZRAw1Bu+z2MiGPPmuvnAJqHHF0YZf2EUI6sW4qFUIwqMFrNuw6auWiEUMfmkgYzNhVfLMT7sOIpmxh6YSQhNnxjFAvJQZhTTwlaFudQdsfu+PV9oMVFfcyA/2uuglKQJASgVF4sFwDE5uSBwd881/7ApvRQYvueDVIsUYDrGDHijjVEVRbWPtYaYAvwWHlCORmnqbVARNqiHbqjIgVWkIh1WVAY4F1ZdgGQedqcJNHWbpN9wXw2GjBB4q6iNCMqTAtp90FI0KZNqmM+E4PeJqLFBaWksNxawjgpXSVoqMBFYDTmZpBVXMMDO3Mp5tiuFMMmd0Hufij8PpG/9xfAj107TukzXnI2YqoKdjcMHjI1pcVStF1HnX9PKmZtWG4ahmjBJsI/F0XCQDolH2QboNvcGYHMaNpAdpfDTkTL0yth7CMQfmFFEt99Q+A99WBjA97HZQfVtpGbdWvxhK0Xz+HRu03Lx2XEj3zpNRnd0SCY8u/uX1yekxfvyX1z18eJFKvFb2ui+WRzHlab4l48Pib9vyOdBoIlZ/sc6NFrmBHzMq9Tg3OicihUx+dsAujn1B+1irAXJ7UnYA7PaBYmFp5KHb44S7U9S9kuF7HuBnjOKySPhbW+ujo9Pzl+dvv3v55s3x2csjvFpWg5PaWHnFw4YXF7/9/POvv/x4+euvNzdYiOXdILaBUsCKy8XmFkFjU0hkIORFLQLmwWFvfNWsDh5ssBjMohdGH5HiDxkzhkN8wYJvG9cj9PjxUn39gC+NVUbYQfwHJ9rQB0RTn+F6vqNtFlMw3WRd1dMs9lNBQQvBVN6ab5JRT/KiBKIPskhazIYeydEDeJwfBWC1RxqjniREP1B6+QfU3IwPMGxNRk1r5RvoRdMQLMo3YE5FO2DorIFH3u805vHpUnww1EEt4owFY26H2FXwhYyr9zjEXhyfHa/Xx6fnZ/giydV7rNTeILxNh0MH01ciCOxMFRgs997fXN8crfAQ8NGr09UfNw98CHhL0DCnhlGsiy253GGSaw9l6YpnFUYmgECZhhTs3PFsTgtAgmVLMbhxSSDUSCKAnEGDk7t+bqJeStLUDUONSLU0HqI5NRBqtXKFm6atIHnR4FJtCE7GPANsLkzykkYkekm85z9fBpqObsgW3+fWBWGruKc/kwxs7qvN0rYJw+O+VVik0wf2eZAna9HmEYLEfITJXnUxAzohu3uix3XmcZIL3+bs0LyiMI3TFDXLatPMTeks2FmIXWHSNBEoLVcHqWwmt9I0EVHlGZKR6L/5PPuUJowCyzi4b6Ni1Q6S8LVTu+QD5PACzZgbKyOtuTcyVApmK+1oNdbRdHxUaN/kwh4Lx9W0GcYR3hG1YTYjzBoX2DIHfkWDIPPMMBuaJpMqWR9eJlewpWoCITFJCd8moTChQRp5cwMzFVUhzaf7vNySZk0A1FQBLFeFgS/0QjNRzElf2jr7sAxOa2rr+BmpeplVEfbY4/U1Nk7WwMle5t7g0jW4zRwMOI0vK0cyq7IA2aLWIeti6HKNl7ZEVCKAWSjyVAehCJtwWjjThAgFksBhSOJagcis51p8cGc7qGRISgYhhsVtMhxpdjj/qfAeINrIej/OQkRBREPS+gLg4EiARBQILajKjVColgxwm2DNlxCbTmRXjFcFmhSnrbsS1Qk/obB362yiprVIjZ5UJ+C9OLqsNIKjzhockya5hcdQ7ewLT5rcFI7cumVukdBKMzk2mhQVfgeflUbRrBkjNT/a3qno4WdRjJR6k+21Geh2k101NkFD9hzR7xrKXu+rywDmCw2wGGV57pu2k9NKnSSm0n19n4F9BvYZaDOAJ4A1pzTnp00zyNLk0pgH+pJm61x0NfUUh3Pl4QGWfv/65gTrVHg80fHgI3I+EcsFKq0B68HFvLKpGDP4L4aBZvohTUSM9Tc8sNZcSj9vK5yu5oRCMk4tO3nS9WV2V1yr72Q4VSoxFO/bulJdDtdhUOymyJN6owcPqDWMorqRJyFGI1Z/j4/P3+Anf9+9essHf7GGWu75EBge6bt8/8dvP/7464//urq6QEeySb7lKQ4KIVEJYES0qk3YZm/KlmXW4+UDl55iMZgLYFwMxoZfOOCzwSjrFQ436XPxiL8VDHU/Y09j/WAxYUpEvvcYBV14845aDLnAFuOO2CSmbJu8A5tUelvUEGQTZy+e2Laubdkr8IlrfKUDT4Tf8TsrvdC1YJbdUGlkuJH3dJSnIRRrEE0y0VNFsjH+XYS7I+Gsgbci397i4MUzwBj4mGWrh0WcRwqs3rVWTpKDMYCf5sVQeDh/cXxyfHqG2eMF1oBv8Rww33PxmEJ1/AEa27EtXvN+c3VzdLw+W69fnxz9cXWPd5DbyhF52xtzcjdoG404xV14pYJ4B3rzX+gb1BWCEb530Q8I6hs53bYIxGmsE5DsbHwhwg4eEyERpV03ZAPJwLmnuHpyRNVEVO+9FQoR9jjQ86oEQcR3/1vFjl7G69T2lU+YgRgCnqXQrZOyMIdDq46d1sQ44pSBFppRL+zWbAPd+Eky9xusqgjK82alOJC8G2gWljRGoReNnCTEkLo29FR10m/uR4jNcR5ZLkDpo2BWSSLW/VKrbTOWxhEqlU3YmdPB1FkD6PPeOmyhxS+TSGO9Jz9dBnR2KF930peU0C++G/VFbS5v8Gyjy3t1GTtP54ClULPXm16mIarJiSoAKhV3wR0ogkKJi3DfYMAkTz8RBD8R5OFG9GYq6oGipgCkSmoSVeWQYnqEyR1KMDQ5gi5nQTAk0npHDnJKGY5Nc9tWayTErm1MXe6joY5EgkRQNqnBPx6QsxLRa+eLBWulckEQhF0g6gykxbPT7Cn3iTPDhmdIsJhUW4wd6AaoaPc8hOBzEwnGWjLDTihGHAiIJescLypkEbBIyFXfkTAyKRUpzd3BPlBAxGGRJinp8IsQBAURl3exZVSKIzpFrVa0HdRSqAZdzkx4ZiRNBKwtZyZ8eeRk2omgkvmHPRHlGvEqbnLw33RDipfcwIkdMWCjHakkJNbhJWwdJeQ5P9SUhjbkBbq4jMliDZWqSEoewlg5CJdNeCWcbFw0k9ZTvz0gNIjTxBYBpxNNUpG6Tg1WKm14ZERYObmxYS26FMQIPvRJZYcYtNlaLY72gCJ4GQ+NbgUXs/dLoYKLgYQvg9spwaAqGe3ksdQ6+K7CySVdaI+3L8FWlpxm7a4Qtp1UO0BVwnH1X6m58hfO+aCm7WbUaDWk8zVjgJ283M8zuyzxmXwmnzGqlwa90+oqjVIOXbDwK1U56FqFno6RbuYiKMVVWKkeK2u9vK91QGEw00igxmfTriKdEB1MrVRqot9WcxJqeS3dg3Q1Tzut8gbapzM0Js5EjSpEc2Yj35P7DOwzsM9AZIA/WdqW3eeO/qQQNUxppOJirgWe0dPruKqAy6S35+vzNR//5ZoJ1tCwHIX31GINSqtQnisfNWNW9M+SQkuxGodnf7EGjMbq8d9nDjR6iKg68XDTnYF280cYX/XT/AMAWjc1hia6VqGlrZI+fardwSxDTPOI2ey0T6Xir2VUGg9on+CVz2+/f/Puh7PXb1brY+ZCt9dUeni4vrq8+O03/OLvbz/96+b6Gr2J40GiRDZY+k3u0r7RNkkvVI57iiU7qcyE8ooEaq3p4fYOhyCOdzxfnwvCeBy4vCj66GGFNTMORbaRa8F3sOPCMI5BxwABKIUyP+Kzo6y7fA3Zt2ukVzS6BlVupTqFrEC8kO5iKBXXoNpoF40Ea/etUAitZSryakwH9QNW45LpfbUPSilrvPfqu9cq8O42jeYTzWOEEhBIXT6fjBxRfhAOTiFY/zw4OcC72/GNB/ywPM9Ti1CLArcrIim7TepFiQR/0OAaL4TnUYXJ5IRrwHgO+OL26oZnuc2lykF5pFTWzBRH7QGWgG+vrk/WWAM+PFsf/MFzaCgujTR+ckid1KM6Zgoe5/jPXSsxmE7GYA+FwY7PL6qxlWllj6pTzBub1skCql332/gUhEzGzC0RhbAzDBXxFwWxlGAKVmKmUu6rWXJk3EBUvii2lKj78vlm4Gx1+L/95fi/vz7+fEPcR7bPwD4Dz5KBcuVaJubk4JQND7z8xT43YJYJnF+gTD51FgpPEpj3ddLUCYM3CuTwNpAnK/yzONk0MJh3DXZ4n0SF2MuJPr/WydBo2BgbM9AVwDgqa/A87ThEFeMkiA9w4fsmgblJd4pHFaVoHAehoqWOpNThkgIH6URJORmsdCVcgZcRdOJogjHTZadBsxJ+g1bgWquMLsJxrACATqFZbW06b4+olJQyPtsxpY43doUPuehgSH3a9oyKwU0CNnxuW3fgMTvAjSSJ1jjMrPFeMULMABOp38txiYpjny+mEoOx+YgoVdpuDpWNjQanY4easYZYOqFIVLsMdHmmH/L9p0QFS/x20yZHAcySAwbDsKKSA/uoId42kASW45KZCNBhQCSCQYu2bloq5qxEPHRHj+lJ+7pJ7XATzbaTKjNFqwIUEOI1igwoS7RB1ZYvU3EDBPQmnAgqYb2vpjZupOmrJgdUF0xq0HFGg312E7HYaQWzUowlrWOf1bCSbbYn04W9MRZA7SkBE1F7Bk7CPS7CMYABvrpKcoosMZpFQe93+wzsM/DVZOB//x+/4sv9ZVrC7KLJ4Ktp374hnzoDOIWU4fSpfe/9fcIMeAGYVwwfWmbjZHy5OIBf8nq8OsT7nzECsdp0y3fRchXYyvVya4D3JbP4QKZfFYtWY60Nb+39aM1hj816bTdv9R6luXTdzbTXCnM0cud2KuTHxN63sdQKMc5CEZvI8PCLuYf45c5Xr9795e27749PX6LDPCyhgbTg7bI3V+/x2udf/vWvi99/xdIpPsvpFkt6vD4d81qGURYixGAtI5rbJCdts879jOfDlJ8N3dze+vvABy/ww8ZYAsYLrvlYM28nDvmLqfpQig9Q3t3hF7njixi4ffVisLwQHn8RW9SIUHhS6zYlJBsO2lU0ql3H6ipVJ6mNYgvltOS4D2HZfC7pLTMA7XlndsAV9PuyABz2BcZHAzA2wHSYS5WCuKTwkfkT/7U50xZ/aBwTB4+CwdqnfvsXn7aizI8IgW1yMJCZNRBsikzHEC7Y+S6Lk/Mz/I44vnZx+eL97fUNHrnfZEnZ45zhaWO8gn59c3t+vHp7enR5iy8iAAH/a+eA2gwqberzg4v5+V3iPEVPwufM0izKNlJacfGT3nleya+zi1H1muCCZCC1kCmBpT6WdZ2go4r4XAeeFIU84aFqDALCGL/o7nlxrldVBzI2pclu6gK7T/vAtFXphyhAGQ1B9uXjZSBGioZO9ULufAxV+Z7aZ2Cfga8lA/WEpfMTmpUcXsjhZ05V94MxuMTHh23Y8ASmX0D1zI/TDpmjklM4r0FI55zOq2zWXJc0VXViMrBJ0fRpC7kG7wC/Pkq33PBrh4oKv+9iUznDzDYPrPqhf2nPoqKn+Gev3LZFJ0uaAx/0oc7ENTkvHnBHEefT8Ae9FqCj07+DgShsnCXWU0MCB10Q1PAQVNsirqyCQsBWnud+c9GgBq3r2LTC3mCJE4KsduBPrAAzU5ckEqB+jecA7bUPu3XK4LLt0s1oIw9RbU1Et+7Ym3bHnXzB7Ehjz2MAJlrHZcejq53DGaa71oPL3a3oskcAjro22MKaf961VTNzaz0l6RNlhhFFt/QemRwlgK1gcpgHRobbbaWFDVrIj5oambEDeXGWxKCwTQ6Z+CtF2KiRqUDoyyFx1pBu3aSZtcUPllKdYmD4SDa34siuPagbCGMyjApDClVaCFFZMa+/ap/Y0K4rkmsTU0wjbWzR8FJLqjBoEikCVbIUfSV1Na0dxjTuAATiFlEieVgh21IlMjXITtvoCVrXkhEGR1ja2E5ibMBys8yAtpW4zTKBSvZ+v8/APgNffgYwA/eN4JS8P+b7nOxr+ww8bwZwhp0cd8+L/wnQtACcVwrDKSOE89lkzqnXMxsiF97I1jZYBX11sn5zssKqL97YiTVg8DPADbAfS/QJXMMF3xKL5zBfvOCCN1Z/P0bhUP3w4RqW9UTzoYmpCI9r5G52yw3sJX2tRNKySwO5OL8+OXn5+u27//iv8zdv0VW8d1JAvozHw74Xv/36y7/++fvPP13fXBOuHeFABVjBK97GRMZgK+iI0d51jO2Cm+ZFacawpGWXYPGSXDzwi4VKTAW4s+AvA6sgA2Dw0Un92jEWf7EYjAVhPNWKdSyuduO/GoiEGHmn5kJ1kJk2tNKMHLtjYVUTtVEphcspTY0JqqsbhTMLrjbi9dpcLOf3WOCzs0eyBgmYoWxhdJBbdDeJn4YzsA7WQLIpjLnsyQCAxDjFiAUSp1rMtWXQ090WBwPxgDWPe8yxZyz3XmJN+v7+9OXZ6mR9dvASzwFfX14jyOlcEb62rg0P3OG4vLu+ueFDwKvT9RHOq1gEj0eCGnUMwq5B03qqgp9lqFJA0EY+/dHq82MvyGk3tUVv6NORYm69dDXZT60hnujzQLNrbwXQmuljE+p4tmpFdjbnTIJAdaADFtilGVWHLWRUaDp1ulLC6Lh9ZeCrV9jXnisDcQIrcDzHNz1a+Htin4F9Br7KDHC29jHPuRlNjGmbpxnOxJjItRIZpziv66QqDbiQwLNcN3HExM9dJYlHBvcieYIgbb54JPvzBmMyR3HKGlFhvQ3cGhVq0FQgeabLwOi0lMYXeK13h0FXcpdR2TLMosIaY4Ai1LwESCjlDmyd/CIjjB+iDkCsfmN5o6aGSkeiiKo3Qq3y7SgaTwntWrcteIvTLgWpQdmVamGraak5iRZe2ir9to47iKdUgKpTFhrNwYAUqdHYeFjMsEsUGU8wsBOnyGeWZDTuUGPn1s5E96u3s7M9/BiJcp5xFdzqWHJXIyoFr5BSi/ukHxvqR8iM41Tqa4NqX7TJyV7xpDA5IojQ5KdgkajNJVkTsDE5YRe2sorMC2Dn4UGcBCmhMCryhQiKwVMr6nl0kC1NQ1QYMRtYjl1KxQoc53Ri0+gYuN3OvVsaGIqw6Kf3FKZAIMmcZ0mB1nbJqmijFnTDJ2C1yuOSyB4CzJqcuvWyHG3SS3ER7SE/m5b5czKtmXZtZCP8PW+fgX0GvugM8MSb89oX3ZB98PsM7JoBnNd8+lww2CZfMPuW2KvNlx71yoHXMbWWKdL1y4Cf8uF+ot9U0Zun68P/+u4E7xHiw7/1rQZDoK+BiZxihQirbNh6LW3+6fxT28mDZOOBsuyAnx3or95CLytvkviafpPGVEbPvj4mNZXO6jONYtVL+loLAwls2oIxz0dgsfb75od3b7//4fj0FN3EDzmkiui4DHp1+dvPP2H19+KP37R4nyDFUzJa6BFdDFKoFRSmf6cyM58xDLPAhlASb9jIh/vra74nF19PwJPBuEfFY9B6OBjrZ0gLyouHEx6mWLO6udFill78phHssMexlwim4iLoGhzcsbDTHA2Uxkci5H5imxmYs81ZNttgoZ9XPtJT/fHFjvZQaIJbwtjIf3xIY7in4QysgzWQjANY4j4ZgMAC4YDGaxF5TOvrNnrZ/pLbwh/4H7CK+uMIfMPp/j2/GnB6dr46wSsGXiK468srjBZPMjnvfbBLGOI3BfBygpvVye35yeq72/XtPVaZwaeoDReV3k0nDU0b4ZTdDmLICpg+zelxaNqDq+YNPhUxFCFReBdDjAl+uE+cHi4dBNc7xQCylLlNEQ2IbGJpWKNTPvNseCCXHWDkQahgrCSyt25q4XPBTaNoMhI443/TjM0ZHqdmPmw5sPHv8ubh//77xf/1t/cTOw7YZPkjXBuQNw2grRejNK77Vm0OIyeNtcimLosKUanqQJQEdZPSilSobFaqYG/U1Bj5CF4V8ZhGSRvSzWU/q02pZmRmLfdAaWE6IAiqWoMYJGWdPCrG6yTFOMKUijYDtY7VVQpME8E0CIkcgrWEUDdkTposPWqEs9hlVeL95jkz0BzoATvnQDBkbo1j8smdhlx2aW/cai74GrAHrB52WGt9QWE5qnbsBpLG65z/YYEYcxIOmXTA+WmcK2tw/h6WAd5Qr2FuCH8ZbVnSID+Z3BDaYFAux9RJFjKHYBfczdlzzpamNsOsdd/FZYgBa4S9MYK5cBF1UfAIp1N3k3rb4BFqOWd2A37zETDEaZk8QPpvlj6qpQVq0pbCL8QusFtB5mg02Zo4me0SQMEXUXG3BmbV1sV2k9FZfSkA8FvwVm3IHzJbqwFdmzsQfmTWTr53UnpqoHLSe4paz0w/5fO58p0ISGaqYHRHbdGYaSYuDZaEOXICtSIPDHrWHLOXp/etB1V/2u1AukoCPnW/HXSioaQ4M50kc7cUUKcMpajrg42+D2vaE2tXbGPKfuouobDv8aGIzuuOa7LiBgUUJpxa0zm6yBrQPbnPwLYM9ANvm/Ze/gVnoP4GcDt3YAB089J8IgHHk10/VroZqKSlM+8NSk1oeDTr5cnRm9M1Pv++w78+ioL3VRH86V/+9ipSjuVDrCeydSUtT2/qtnPS0AN7n13M0wj/PyWexwcAb3RbBmE3FifxjmS0T+OU535ijupQgiZzuRO/0Ilf/H37l7+enr/CSl45RjT88Yu/V37w949f/n17c40V0EAfQs49V05nUL572nGr8pyaKc4YtllgQyhJI+5IrFDd3Hj18gZpwVF6dLg+WuEXkZET/ILwi9Xxi+NjLQTf3t3e4JXtWHPC5QgLHTOZHEENKNm1bBMsygvENg3JF5QW2AUbxA4qrXqh0Wytn7NLeZ8dCSnyObHzkbZjSJvxtoFstkb0DUDqBquRzFu5C+fJAJy1ehCkH+NztV7zWMaMm8frMJzOFJWuPrT4ECbWeq/fX2LmOH1xhsDOXp3hqLp8f4X5RI/QAjMT+yHwCBttPgDazdXR6frVOX4J+OjwGjcLnGKn0F3Cugpbzzg08XE7Lr2NdJJFSzBKFsmfwGCWiAMkjYyQ1xqNz06h4ZOkCxx3aOEEX/waARuUp7YMa2ZhR2xwqtCFyoyRgiatjIORhEhTux+F6j0NHWQzCi47s5yDKndPPV8GfMYKPHZcdF0MzHQ0qYJdOdnZqbtpH6OgHwybDD472Y6t3VGNzetVUVN2Om5bQY816WslXa6gM5SZuSTlLBmznRQ1Hhp3cgFJZXWVWQTU80TYiByCGRnIHKbVom6j0ZAN7J58zgzwlNkPIfe5uNy41IGgepXGKBqpNXMOZ/emmtoeNnBfHUFE7gdHFdDdrgu+9aUzc6faVDqrnl+bL/6SZmPUNbDhT9rOj5+V0WV9G1NxWLYZjoxKH7bGwm8ZaUkBuzPrz7Mfw/E6A54WhNMUjNWY0mm2NmiyRybizE8VJAfKbH7o267KGq8NpPMXsTd8ZhXcjrMptzyiJoGm+jQxDHGoCodDfgLN9tCfP75Ad30sXQCqzN00Oo2wuw5s+BFJJ556baLVNfLEfJyCxmhENlGOxOD1sBOfCzaL7D6Ni2qt4PEmj4gRzYf2RhdxeBJ0V+AuqSV/5IaEu8JnY8XnbLCrCxrNypOMZ2i7MHbyuJPSLt426TzaSRrkfhP4nyDDiPjokT3OQWj3RjGgmwT18qZm1YZhoxmjYHWSbUdGpwyIqE/ZBbwldsVuwBqyIjUtHE7klYkZp1YqwJ7aZ2CfgX0GtmYgF4Cbi/GpzQYRVDF/zafuFmLZfGKKKlZ///rmBNek38jjv8iTFtTw+O8B36mLB7/a1D2R3nY2GsDzNkfdiTiq+dKN5QCgY1WEjr1UgWM2X952yENRAaGYPQ5RsyTluZ+7HUrwlOALrMmfnJ69fPP25fffv3z5en16ijV6X93DCUY03pSMH/z9/aeffvnpx6uL9+i4iHvLwTCJoQlAZGkBm0BPE/1JtTG3ZMYoBlskM3HrmcLsSlxv8FW6dwd3BzcH+Hngg8M1Nnw+mF9iODo+fjhe45FGHL+3t9d4vS1++VYmsC+jqFywzLyWcLMPoysbfk9uQqBmynPfWxfxhF2qC2ZFvkzQEm3GQ9J8YThpP326rUuXEUPy4SH10E/G6QCWK73X3Wod2m4mQ605Dsfu/YsVnmjHlzmOUJufnaZGrrfHw9DXE5g4Xm4uL/ES9fX52fHJMX4SGGCX7x9ub662jtBNbpuW4BsZt9e39zd3eAv0y9PV5d39xQ2GIjSmDUO9sRvBz1MmrWJYzQt2yPQBI2cS1MniH9dXDvDNiGCR0CqpP9Ac+jeTxiEGyYL2+OzViCz5sK3hBcaYw0tiFWkynrSnlxq2psqJvyfB742flIE4eWWPYC5v4VydfXbeqbSVOnAL1eH1ul2N47AMe0jSLvdUlk5nNankOEuwbJbUiFTQpNnj2fj/Z+89gyzJrjOxqnq26pXpajPdPdPT43ocxmAsgBlwMDCEI2G4BIMEgyTI2A1pY1fSRmh3pR/UL23onyIUpFaxErErkbsSwZVAkCBIggABAiDBIczAzQAzwGC8t91dVV3uvVdG3znn+rzp3ntlujtfd72895jvnHvuzZv58uTNNBK8I/v4Gt5QFcHR4b3f8MMC5CMfh+oiQdJyfFcjIKMhBfYdBwrhF/TS3DcSmtNGeL7TFRYqgqx6wwZNI1Tb7Ahw4MxJrCergqmmCY+FiuE6DKdP+aioWSG+YpK4o6KlsR3YKwfDFH0TrmP+jGcUIKLvb/J1jYRpPijBvOnIFCqa3w1KOj0oheBGJZTWcApfWq+NynaIwxZT+iqU9esU3HDwQUKNXV/W1NLMaa20Dg/PpfyxrftZApsML/hJovEpVpCuGHD8iTtssZRZesov9X8QVdP2tOAkGuBZ1cFh6IQo+ku11Q+poiacUQC6v5J4O0eBTa9hw1gaFMgJpjVfuF+sipTyoqj41PDoAI60gkk+ru5fsenrpPV+6GlY91HATRBCjV2p74gXBtQPKxrkEowUN9TWbMlEgHdzqrmd6suhRr1uVFRBE/Q24NM87vrksElDsR1lpxjIqio74Ul5FUcJzqayXDFd9oS9ipbI25ZQKiGaZ3Wf8qWF3Pl2OjJHDup7J+2LgaBZHj0Q26dNrdyqIlBFYM8iQAnglINMKp0u2ZrDg5560kAKtYwnObwDd7pVn5ukBBKnQi/8eZ6yEPyIWGTJsICSH51bKGA5QgP8BKTFV3JSocNOW13Oseezy1vnExM+oylkUnmlB6E+JTbO6oLe+u5RLYUDzyfwlttaqzM9e/Dw9PyBVntqoobHpPMRF3sKorS11euurywuLp5+fW1pEW//1UfoUnuA4wAXKQL6nIvOKBksHdFRz2hNst0hRZsM6V6d3HBc4XGyRQuCt5A/G9/YQO6X8ml4XzAV5NNAdrhGuV/syfSgW7zamta/Qgk0fNgApWt05xHBa5VXYfHwK1NCM/U2UE4hG6k8vhHMLuDR7oiHZMQB6UQxWy+FOxKvhgCJqHokr5LShjzyKDDIBnAS4cZN+XKvBkaqvMTPeDMqswawVAG3SYz18AgB2j2arVZrsgXn11fHNnpYB1wKSQt7WpTpRgK4311vNTqdxsRKfaKLm422ECBPTiurrcQvQyLQ96pQ8+rAlDqdPFhM0IihRGmCFeMiJSBC4W8FkeI3cCw4IzuquqhM6apsoclzoVinMmOlhkfL+yi6GUylZ3potrWZ5pV2w+oo3RRLGrnajigCpq8UHsaoPsHwLOiDFxHNkUxLhCBCd4a7FtRbNRyyR4UWvli38ag60cgVgCxk0qIMVgbXna2AEwEJzYd15WmmDd0aLRSYSUBiWtAqUZ8ssyqNLAIUdJoUUk6bhW2spckFYkbeLxSTIh2RTLbfhpQAAEAASURBVLOm2AY8Ta6wvUBQV2k4pmEr43TdYN9+os65k31xz6NQxdUzJBPTQERWrBf3PM/bHJvcpynWaGw4nxQpvp7kiNFkHP0YT9MEolqWmOWqlTKlwFxpo6rtcmJpUE0hCA7osEB7kP9hFBvGtHMJ5WxS30eTY4XfEaHFUAM6ZN/6IALsSb5uEs1QhlI2KOULQceGAHqW4iiN1McwhL7lbK6WzehhtCuDqwHStyNta7qZwTnFIpSFv++bmOX8/uWVC6uS9pWSfevzncaLaCpbSTI/T8hB3e9FmbT15ES/Pc0RBK1Mhm+/t6fyr4pAFYG9joBeAZzwI3VCkRlIJlYzGyXUyxAYa3wMK5MOTDXxqtE+Xiuadp5bBne/y/LDYZEhwkkbPTJ3Cw8kHeJ4Rar4Q7+VBLGpXw7YkJEvqS7uilIBv42IFPgIiKJPRi0zCkbaGSCsg/xls93ihb8HkQJutPDGX34oqdZALhMLf8+dPbt05vTa8jIeJ4vnRA988MXZunzQfCpGrzc7PjrtBBU65gTAE5KKxnZZoMlurZl66wpFyqJkzJvHC+EchHsOSTUkgDc2sAQYd3HgQ0lgJIBryJ1TAalgZN4oDYpBTh96xSnv4ur3ir2FTVnPcSyHbZoQk4vRjAIKho+CbrjLzysrfepTnKLRo4bHsR5aPdo9TzmVb7xKlchjDIdgtFFQUTEkZTms5zmU4A8NkOkIOU4J4D69WQCjEj0j8qlmUxkJz7MJBUYRRHAEGBvrra8RVgPrgNuUA+5it8ItJsmHySUtUvuYmuI2Ut94E3Cjtdms16axCHhja92DFTXPV1RSwNRyVU9auWSViMteaZIGU3XiUxFkTpayrCJhaqNJgacaFhcdEaFvEkhe7hBRIyWC4gS5By2esASMKOwAF0wJTOHjW5YmM8EXFpXYt4OtcPkYAmdlSQiIWfO2SkRDijwFWPXZpxGQY5/jHPqLPv5GaBdnP6pISAgS39lcVzwZvUA3KeCqe2VP06t4YqaifuKwZFI8YjhCMmCjKgxjI9mIhFfDwCfALjwCTd90IMmLpMiVbz8Oe+WV2CfWy3FsJ70y2Dk+5DYvL7QGQCJl7Bo6CvTbIh0nquKqc9l2RTYahIsBJiyUI6C56U3yoJTnaW6X8LbIYGRrabaMX5Aq6D2ruIZtRxi0AQsWKW2QWgnPRPHYKzXdVoOXZlCb4Qa7rdaMzK2Bz5TymEaFPYpcdzACnppf4VlKeZvXMqUZwAZN9UF09Hyjw9QC67lQRt53LFWvkMeFhIyJIEKGrguaT7szPuXANUhkOzKgCHZxkm6dq1HMM0fKKbo4IwyWD1vVdiYCqf1ozAUSPHpkCHmc3PM2AxgUCMVHCgR2oYqpyExLjjm0aaCTRgeiKg4QgdgMNQBMpVJFYI8ioBLA3kB2Z5NgWqFqQBrScfVLGksI56cac1N1JH+RLcn66TaMQa+dwwANr4vEEL1OFV9IhuGD7wKgGQ2QY5N3hMoDJDR7djvwkVHMDKQuB9U8pw1fF2QMoiYETabmsDMOQZxTLqqKG0US3cbrbBv1Jhb+Th+Yn52fb05OIUWEyOjgUL5yY6O/try0ePoNPPm5211H4EjGhc8pW1n5HcyWWSfyEyzAsrrEoBq3wSeLTiZNM/VWVNxvNzaGrsVVHysZPROAS+lc7Ld4FDbnbZD4pASwvC64jvcE1/A0ZBpqvNIduSjs5LwqmNa9wwqnovjURlsypv1CDpuEWSQm59OCdrpMlMENBHw/EjWr7+wHfJllfJxbqxZAJxTzCBY4TzLKH1Jd71DAtlGxmKZULliepwbDow5UiUNZKkp4BjTSeuN4CvQEVvZ3Lc81GKe6EsOXOWLWEErj9OLsXg95Wcw2SADjKfS4kWJtGeuA+3x7UJ5RixaRpB20j0XA3WZnqtOcWGvVerQIWHTIOuuYAtWEB0YgxJKGzDWRBs2QdcFD1LJaTAv5iNhtjEXRkPtwgM50+nZNGVQpWIt6ggoESlTp9ASmEAL1E8vzOA9IhKUtSpadw+kNZYMZ2MfwZH1WVSscgUhgC+k6U7eVz72ubURJXTpwUAcM1E4Wio+xiKRPkgHuO2slVBSYYKkkTbV4jGKIzqyiA2xMWnlg2orhhwXPqlcJJUdf3w1zfpzjbcgN0244Gnft/KGa63D6N8KwrhvAIYEEZy+8smPPHHh5RrX0ok3LG6E0QNmGQKdeLkgfyKkqGS6mo0FpEMAMWyNjRU8z1GFqZEYUkLEVH31lxwHB6ZiX1S3QNAseCKfagjOpvAADVe264ciIjZ5kGJnChZFMFwyCM9vCVlMEB3MmjKWZNSjKZXwKgeJeFpMKdNkN61jALVOVftfNKjYKIi77vii4iFwZ1/avbKJhCYLyXcc11hRHx5mlExoQI5qW1ltB9GueFWAyFuk7Yk7REy9VGQlIKYsXvXAYclWXWdIbNF6F45a3V2tsvYWSLg4wheIoO4DWRd/BVQB2NALYK/SY3lE7OwR+frtf2ntOAPvnFAgsOjA5uUnAia5OZRIiCZycPiJveaxg+W+rPjNJrxPt9jknlMDOgTrf2AgV1gZiHRrav4mkNxLAAzch76iTBmxPhgZFUMiDqufpuSGRMv9mQ9FwTMGhJdrrCAnPJYyPIfnbnJqcmTuI7O/k9Gy90cCRFR8lixfa9nr9Xre3srJw+rXlxUXkUbB7UOY+YSmFoAXNVgrILqSPc83ROoHnGsG16IsmFRgyJuSCuGUjK0MF+torV0qIloPISYoXYcJtDnhLML0IF/c6YLwj1o0GnrKN8Y7XBNeQBsbrlJE2pjXBWV2YzbPjIVXONMXznCrCwbdpgSkkZGMEhUwbLlJD5NoCDxK0GvcO0BOwy34UcFm1Ucq7LqioKJLLGcji0ADWaipUgoG+QXqVcnr0zmoMTmRAbW8nxK2JnSgpc55VygFv9sboDqjtdmey0WphjlgbW+UcMD12Pfx42iEzqGMlen+912jiX6PTrK12sQg4EAmrCE7UAtGZ5wlAFHX5iJqu4njn4mgtTaOtommWoFACljE1EF331VpaRVnUGsTHf/Sx6mrocJ+7cgrPt0YC+A1v8JUCCRn7GgS/vSApv/gjKMoFB8G0kGgyQWisYJuEcwRk9DoEtI6a51Kq8p5FILPv9swrz3BiKHtcVMxYikgKyUjwoPb1E0pMcPZaiCdkXIg4U1OxdayTnuIIQ4u5gDtU3kVTbguyzWZzDU5BMSPvF8r+0PO1L7Caew2ORmaZqZi6YWeCuRdeyaDy9k5uXDjY6AjrSSVGBLhayW1IQo6kspGSKhWlXAQGia/bafbcRHdptn1XN1tyL7jF2qA9i8Qu0TwbH2hFFDQWtnTWWM4BRzm3mG07V32UAjvXyLJelghKjtP+PC81r+8jrlnIxLCJSA9MUo0s0daBTWUoxszbACjFBCEDkFlAdXSy9h8lxhtfy9YiPtLFBLZEvwW1KaeY7qAG09uIpMaLsDK0ItIVqWgEwpCrekiOwvn7eFLEB/FrSemKUkXgYowA9otqctuljk88AjrjphL3HMSf6QaZyYDGP5VxIbU2PjbfaSIHvIGnw2KFVipcKmOXojUqM2i7LP/F2kfK/dL639LYA6hoG8rY4Ai6IwZFYD0Nor1ytnBQuCYsWlgIhsw6fs2BSZtHRAE5+Hqt2WxNTk9PzyP7e7DZnkRCyD0pR26yv76Kpz53l5fW11bXV1awdJVdkyv/rq1oWbumt+JRMp0QVWYiNLntPkKwjxhmHIfYOoBxiZBqAOVSTZYyRIUtBXU6TCQQaHF7t4tMMD0Vmt4SPEEJYB78jUZ9vNnADr/Rx+JqLEdE7gsf3heMefLLq6Q5mi6UzlEusv9ZLQxt6johC7q0FqMa86KdGrfHsAYaaUYKwuYGJAsZyfRXmy6wtZ4VEI6JhA4rx4b2b2gA5WwcJ0417dvcxv02G816C4uAMRqRmSdWjpLRHlFBmcMmNCwjBPvD9gqxkANutpsYN+sra1i8i4FkPQhVLSetBA3sa/1uD7dkTDYmploTPXrzgIMZaKZlFgFEjvJTjZNuYAfQxwVpji/i14DCQmpK1EzKF0mGlSxpqjIbeElVRwh7YHB9mZlaQm/ZrgVmEDdLBQyeyvCtW+PZBQ7rKKKBVXV/AzsE4zzjQMP7cpm1DBOYUYGeqV0x8yPgjFwrTOMpHFHETcZcjWSrWpWqCOgIqPlCVwfcjgZlQONJNZpyqmnHxmWQ7tn5eXu/ecXHVRu0SAkem2FlChE5Ig3SuhSoirwDEcBx0qLmdaaV5FJJ8UB7J6rlPCok7YTHPY+Neh+c2UZlBiIW8nQg5HQlt+EJqb1wKOFEKUIhj32h/JnQzIM7f5hwGut76TD2rgiXMsfL3nlmLMO/fRg4415VuAAi4B5M7ZHVpV4AjayakBKBaoZJCcy+Ip9PvUQJ4OC4ao+0/rRixTTdUgjFq6kOsVOU30N88UxIuHLZaTdmJxvNGi//xVK5GJKvf37X0D6khZAawkVuvBy0dPZ30HNBe3YyKALFHR0NdYtVqC/Q5JJKYiAxFHy7fs31JMEhD/QJGs67kY6s1drTszOHDs0emG9MTiIdrB+ISjjIRPZ7vbXlc6sLZ9fXVpA22kCOEsmSBLBr1SnLwjVLoGvIiFyiQVbCK4kZSLOCa9RHcDkOgCbrrcMqWmR/i+2LYsV3DCEkgv5DPDeR5R0bw1pqjP06f2gJfG0CCxLrzQYSwFvIBGN34Dsi6JtGaXoDNEdvk+0STuiWkjNqKfwknKYYTSZwTVlyoEBBypuW/6LT/bsKNE5i6wMn2IUJw+FEtBUpwinsEwsODaDMxXHiVNdDSCAJR2nU8e0a7juaqOHVu8WGuAszRNn6aEtROMw366tr2Acnpyabk028L2BtYqy/to7bJJxRFlXNImIv7HX79eZGs9XoNGqrNb0IWEBjTmmOuljBaUyKozrig+xoURkDPuYCcMh1/gNfDiOBoNhiIqPYOnKnsIl3BeNDKGwHIDStBvaskkw/kGaneEYmXQYxXwSMikPVMqzGnAmGUGKaDRqZor/0DwtTjAIb6RpZHDGtMsm+IJ9SOY3wuVWtbAQwLMxYLaYrA0HvnlIrpnmBSrkhSI5Ml5sdgFzJXAHgKxlPlCpwDBuPHHhDIwH/eW93m5Gqk2QwJUlWhsQFqaQIpZADT4tUgeQ2IqlS0JQR8wANNYlbUaoIlIhAyZGUPaZL2D0/RHexubtoKhF7b25JcPeCUG5YlpOW9gyiM1QkuIN33WqeyyUd2qlRWgIXHpeQzmu/5peMg1YrtU3YSBBKwQ0onAgeExwq/wINicpYQY8d7TQNx+CADYEawEeCM7gHu6qZFsu4E0o6TymHn8OWU/o8oYiDYb+peuTHfhKcf+VHMDUpxNb0IltYS0unFFGvZKoIVBE4vyKAXX6YGaNIY+tqTpHpjTSSs1ocx5OjayQJVSFqbdMYtmhmVdI6OINlTjV6++8uX47Xvu3yFlfz8SxcGMWTctHkYmt3OH55B5i0hthhpK6cpwlm0KXDcbU9vOCePWTIbzx4NQPYsqyblmbGDUjMF0JMVEtYZT0mIS3/wULw67VWpzM9e2Dm4KH2VAfZSFcDolgn111bWT57Zmnh7Favh5Wr0MJiYCz/5cZLKHwlVQv9kuwIqFsqgRLVcok+gl9LlzMcraC3hlGwYHo3o5EElYofZygqDR+MBuR5N/qUHq0hD9+o0SOiUa5PYrUjv0oYmeCNHqYD5Ooo6R4YY6y4mUzPVAREM6d5StbfWJu0G2V/sPwXS5zxjHf+ZMsG7csRzmDnepWhG0TZQtlSpnYmcxQYZCCOE6e6DokE9Tkesdzf2N7cwnCbwKMndu1DHhg/c+1Cchx+YuEvbh9oT3bq7SZeCIxDZ29lDbtFrn5as2jnw87V62H9PdLKU82J9Q3clQE8hqQvMm3VUTReK6pI8ppTtUiXGFaNSizDOwmVYLTY7KdAtFHaUvJUAKmGIkj+mQVZ9z/Ep91O9BQoN4v0VfNQnKCkMhHcSY8z1NoDwUUNH8Ihd4SGbyqxIHEM1Skk6LBDzpPNtI/hpcixIbSNHAmM4sEK5KVBSDNR0SMR4I6M0EMS+o9HFtFlIJoqiwZ9EqoHMkq6iJJBcoSdomFXhZ2OwC5FPTBjf6KZ9jkSTtGw97bAHu0/t/Y2KBeH9dEdgUaHdHFEfgdaOdJduDxYeY0diMGgkOfP8N0jT/fIbPH+LDf88qXzJYr7NjJJ2wux0sjMVECjisAwo6iYbuLHZabr9JvZfryKJZuSGmR2rBEnqeTzjbYWTWU7khdMkX51UmNso93rCMnYXTANrxpSRaCKgBcB7O12GvA4A1R06isC6s0qcqnLGPB4huoW/Gu0Ik/fPh2EVr02165jiVOvT4v/XIx9Vs5vdBGHEUl6F+rEBBK/eP1pga6EXcqbFQGPypCmqKsWFIfSpwGkzlrKjfxQsNPsuNKMumaIxiUpOPhC0Fe/UJP/RlMXRE7XsBUMrc6M7fF6vdVsd+bmZg8faXem8bpfb2CPU2qy311dXlg8t3BmbWkJT0ht1ukmCSQk85b/+g44DpPH7Iwv4biqig7fKUrgzQmSy/EhNEdvfW5+TVIH0nFOB/iKqeB5DDcxQbLI7dL/MQR8ArlgvBx4Ai8n5cdEY2l2rbHdxGyw1e/j9ct4aC8WENN1dhfE94trqT4o2Ux+apNVB2iMTBDXKSwxp+c/06wG57ErJTQTBFe9XHk4KE/bVmypnDOu9CgwCC+OE6eSvO5OTwLjB/95KE3UMQ/LilIS35EPbHvmSxkhTUxH3ZUujoqTY1P1Zr293QGxu7KGAaXbVwqT/MFdLP1uv9bq09PvGxOt+nh3IwBznVY/PChVCjJqlADj6NKhnCThirwO3agpBqUwSQnS0KM9ICcemGhZXtoEaUagL0MhexqQtoJNbAuuZwmi4A8f1ldVhcV0fLGaSImgLhNDeaP2XGmEVlRb1ueyLfkiAmgbJtHwZTJrEQWEhJ3imHrKckDTnnusqjJgBKgD1BggBB6mdhhJxHm4pOHLEDBcq2tIuhBI0vB0PtzdjjYX8eVK0W6pPrakKS6DuZ6IQgLN2EgOMDLmSHgALrzrFQk5OiTmuKm09CaG6IKRspalbXrFlVLlUsKePmt66h67eKU4hkjiW7ojVzFXQJyk+15S3SWMXBw9KiBI85onzxWH4hRTjVaMCyoCI+rycGRlxWhEJrNM7BtembjsG6fFkfR5J83R8hppSCOhl3NnkFFZzsJIGkUge2M2PUAl/UkHGlmECgAVcrqQkDFWTtqolSogeMrM/gij67z2iLe64gpI2ef4taQ0URIyCUKohxjFZDRNb0M11kroaoLeRrTST9P4pAv2lLKyLIQQyKcGmD7TUdW/oR2SX9SngEKFI/bjVSx5v5RS27x7DsIF/XGKmqS28rsyIErVZaWVIemyojgpxH0QoRTPKvIOR+DC6PoLoxU73NUMrxPAOJZgRk85GOXMI8lLOT7FTnGWrnpofGL86Fy71axJkkQf0Haj5XtkAy3Gske6YE5rG7fxSOHo4dLEDAdiEZBvQ091X0WW+eFl4KipOBIf32HaqMT9jCiLAyJutCNyimREpKAbqMlSR00ImmzwEoSoAlpTqzXrzfbMdOfAwZm52UZrCuuASVkcReYB2cYu1v2unDv9xsrC2V63i75p0jLBOsSwYpWX/0JBe2hccGJEXM6OQEVFAOJJDasrJacVpmgKrG5qoaq1rmOUkMgmOH2sBOP+Gg9Q8CQMw7NjqdqAnV5InS+ok9DW9iYmH+wM43j8c72OFDAyp3Uk52hRcKuFlwZvIf3OLwmmHQZjmvYazxZXIiQrlMm0Yl4p1DF7ABheADwtXaH3HNNDoOE7JjdpruYN2FNW3S2Fbrq8nHKo6tfz26jg0wV9wBxvomwgAD6OE6cKTMgzdYweWVOOtCWtmNyZjzGn4MN6Yav0yuKxtS7kJ7en6q1ae1zlgLETlP6wFxjGmM02e0gANzut2kpvokvvp8Z/7kc5RpuxznTdA7wno4JJTt/gwj7wwlhWUe2kNLE+cGkv+aenHFY0npFiywIlna28YRxyQdVJjmUVvCJrE2pr4FHXLjOLxUmVamJTy+oty7lfmkGnR6LicrlMIklPtCKJULRIWU+FVPE8Y5wBvlJBcM4WHv0HgL/4VLxxy30ufRbEU06J/Qj7p8lOwvjii+IIW0y7jf/hvdeSkgKW55eikrwnklyUq/PUbNNMG3FRMZbGY3qcCarbppgk+KGuU3eKfov3ew17W/W5ICPgDuhBG1hycIzC5KCu7qoe4rK7bR2dtfKulxwEO90Rpd0pHbvSFkbS5L2xmuF6SYdKhznDdMDaQejAUqxaMg4xiIFoO2DX/qgs4ZGOPrbFXdJKJexcyKII3M5GpHjPUJiVdJ5SDj+HLVbyhMr0OmF5eF6lDJLqDdYv2TH+j8yBU7ylvK2EqwhUEbgwI2ATwNQ+O6PZUrTd9mg82E94fSrQrE0cmm4i20MJNkqTRK1dOEREC1khLD1DHgtPt9VhcBuIEOCSo3tYcMuuZLws0v6lyVJxlWv0ctkTvpSzDp9Eo4CaEZGC7ntN5kDYExdNNq1OEATAkLmAZiDazUajNTM7PTs3NTPbmuo0mk04qULEZpD67a6tIu97bmmxe+5cv99HO2oNPJwYYxM5PHr7L7cLoIEZajH+KGqcIECFLUvNeJtRYHHRUWBsROxotIS+UdCcBEEzUre+4VQxrw/glXYs6prxggq6olK/VpFsUR5GU9AX/MFDtsc3+n1aB4z8KVbQIv745o7g+yW2wEUmXvYd9Anb0GYiLWADGfyICkihgtkJwACi9jqubKh4vzFO1+jWFiS3XdAQ3mgUBDbyLqhDNMVMPM+L9IoBK1TwcApp5AtFMCMkF8eybUnxaZjxTQToRswM8tBcV3cEZRouJvQJD4oYECU9aGgFPHLA22PtsUncxtLuTMEC3geMA0gRMJLxBdUi4Ga/1WxONmpLXRx8BUncNtKmQK6oJsG2jppyECFFSVUcj4ii/4QMPAOpBEnApaFOH8wOOB3QCXpKyxEWTST4j41V4eSqEJQuqxvTguYoEMH7kAsgONowpyjGN56sdAwS6hbCOuYICbRi0QZ//uOkHeHSReoR67xRx+SDnjHVqpAXAdWJnpifAwbLDan3azyMtOkRUxBg6npjQpX8Tch167QTqLoGQt3aZqb9Mqp+QUMEgqhaJNEIJIiolR0BKZpvX4JVIiQjHhQSosyPU4nlcbxKALx/qkW8NDLoEj0P5rfAaKWJQoAGTrqcHWBpEBxxBlBIdtA4sFx06gk0xfNEvEpCoyKcNxGQjrQDY0DHhwYY0O5+V9vd/QTWRtcRJcFGZ3i/9+ne+kdn2Lv/SbeZztltL0sO2N12bzT2EhPKKOM/IFbCJ2oqE6OcIoHI0lagpbG1gt4m/UD7i5/BGXXnVN/QVAGm+BevRSXjMBP3QTOYy7oaUHN03Wz5tza4/PFUjAiMaXP0u1gLsxO2YsXdEvF9GQ1lpXy+pSurqWxHchRFr2mjACyH4f7G9GPkcggzqHN1t4JUrk2V9HkQgT0e9+dBhC4EF/0EcKxF/qTjS0QvI0SJrp6+KIn1cXNTjVZ9AhfVKLsTHBFclQukTMt/8UFrKClEa7jcCVr2OKG49BKNV2o6wiU0SVQ7AJQBEahBhV03gvEhJmwjpNviErhsxpvhqAJdFq/VG81We3qOXvc7iWc+N5s4LqpruFDkF4L2se536dzywtnVxQUkgtEGyCD/KKtQMS5l+S87ICESX5QZOQ1yA2Yc0T5Ht1pKb1Xg7FkVaRmmA6FpMClt1wRHJr9YuqPQ9HhHKVvKC42rZEGNKIYe88kKcNAz2xsbY+N4RzBIuFcCmWB80auC6QNavVHHi7PxXOVNWsa4iWfkUkIvGifCy4+DL+EpUEUTsI20w1d2a9R87OnoIOzpm1jjzH2l0VzJQcrD4XjatmJLpV0aQjXVVhwzTjUglm1LhqkK2OkxgrCufxx3GeDeo01Kz4/kAxyaBwgu3XyuJaNqCvws6N7aGkZ6q9NqtFuT01Mw0V+j92Tn4DkgLEn1bay27/c38XbzZmOqWZusb67QHS9gSST8eHA2lJpmLZEkdjrMVUx3OFbGlgxb76c+Pls1MtoHtbuhl1S+V/0eJtMCrRjKM7WxVnWJpnn6Iwtm4zZGCzJfM1w4aaoWIwdcrqemhcyWpK3LXMn4YW8aC33bHWzBS3ob+Kow+gjowaKRaZzZ6Muhyk0Ds5w+gunxowepBrnotthFzId2Pf/jcn1OpBYIBzsfFAKBCASTaLe1H68Cclg3kqSG/zQTSe+SJP2lfZI8pmiy3hp1b34wVJgQSXzTlJEMousEiyaQLZhb8uPgclAuisFq5FqgnwDIBPSYqmIQ3fcBhFaq+kURgdgAuygantNIs4/kyI2M7e2ow6KOFGxYZ0rrl4v9IG0tZ6F0A5IKu24w6UJI2Vd7ftFOLCRXSMgNx270jrIxnCn/xKJ0O902Uzl0hk+ImBhyCp+2ONpp7iWxQ7+qehiBtFiGcqZOCnlKOfwctsDnCRmHChQIy8PzKgUAQpE8/VS+/rHpDFVNCm1U9SoCVQSqCKRFIJoA5oknOfvgiqR7hHfLafCZdKzuOzLTAoysr8RslrSZCXCeMTFH06JALP+llBASV878TU3hqhDLB0JhhZgFQwR7AHAcKKjniJWxLM76jVQNsIjpBM3B0EFR10jTlPF8VyzgbTUmO7OduQPTc3PNySk8UVhW/4kNeuZzr7u2vLx89szK4tn1tTX0Ch9HkaGndcN4RjS+sfxuk9ZqG2gxA+dpByD7mqO3Ap/xrQX1VrnN8RDMFGVWoC/8kQO2vSkKUbJOw0SZDtG4x44lGJaqBDWuvVTJPjqKKBpQn+zUBBcBR3IXwcf7SXtYBdyo03JsLAXGp1nbbtCrTJEK3uh16eXMtDeZJdpFjDj2VNFzzPYpyPy7w7Y2qZpGwQDBCmByj5Yq27CkyefSPR9zpSMCFsCWIOZVImoZpCFU46hxwDjVRciXYGn0LC3m39zA270p/csJYBdn8DJ5kPAiMm4iJGU0oe04g6z12Pb6Go3z8bFmqzU13VkdG++vdeM54DiUoQIGi+k3G/2NqWZ9ulVbx90UjjFdhKtQ4eM+rNKHEehL/RGVJk1UuagkSJQV8EWSvLFiTIQa9nKWgoAAsBwpsI4qiLYQBVXxqYIEuJqINdGoU97EOKrU9UaZ1VW1JQVtNGBxlXhxTdXEmJJDy4FnSc71RJxIozvwVXHYCKgOopHqdgEdAjBCLYnPE3jQ+2cGKcPDHTN2DCiqy0yMLo+J1jnvb7VAfqvJWXxCTVdI83IFY1BaOd2GkjCCsuO7DsA9w/XoMapqkMihD1wZLvMXGHZBhIfpVlxdDeTRXGGUlZts1ZjOVAgAClSz4AqolxaBPTQl45PrkCtgouICugIuPShHxUA07nkCXiVAqqoXagQK97oImqFzocaD21U4KKOKwujCOhDSQEqjavtQOOeF5zycdn1MIa4jswmgnYp0CdwSoiUG1Q62zXiR6IgEwYhGCrrdKUop5AAoV8o7DyyrHMhHhl6u/QSEELSe3kbFMplRjYiHRg7xZkCFWhSc5bSuAYsW8GPH/o6IqfidweIaKCaueWoLkWB/TbaBZKIfEU1lR3XOfyJ+ciZjhGZFyVHi+R+DqgVVBKoIjDICdZqGMa/IdxTZTDvO9OMUfR0j7JOp5rBgDU/fnGpMTLfqOJBwgm1ky7CSlvcJZYKfOQpnkIDg5b++X94VR5+VWVMHwkHVGZsxBkUopqfcDJuSIKcThIOhp0efEBIKSLMjXdianqGFv/Pz7c40Doe4Touchwx1nK1sbmDdLxb+Lpw7c2b13BI9dhgjUj1ylLK/tPx3oo6mQRL5Re02jFkHpOEJ+1o2stWyeqtOgnSDoCEcfDs0ITvpXp01CYQiBn2Sewnb5/g1455P1t5ZqhLUp382i2NF3FIqrmq2lnXlEGTkvpAM3pjoYgF3HangWo3upMCHXhZcr2/08Y+W1NONJPiftyZSW3G2ph3URJmoYBcFZ9JyxAsUafjgVd+btKdTjsDvzgIAvogbEZ9TsJYCkEIuCDpCsbgjcaprNiIhpMyAc9Zmm+7vqE2MYfHrMB+YI4sRR0qg5mtjJGICG8fD6mFqYnai0W5wDhjPgkYOWE9QqTiUJ3X9wV6CSQ9vAm406lgEXF/D3RbSChbDl4UiCmpmAtIcJWTonpJrDGXCcD9hPSFAux5NsEaQCvSj1Ex+wkTSR9rG+xi5BkHtIRdcEOWCFRGmkU/wFSF3Y9zMlUwTsD5Bgio8qw6Pm2avoscjoPpBDT9HRn5U89QRUm0vyXiydUeyKu5xBNJ6Rfb+NG7gdEGxQEvNY1pZb42UOwEx07m+Bt6EDCsjTgUHI170pE0FsgTmqBiWFBzLAcdUSZkBFBI26uPActGpaxGzVTxPhCqmrbTD0SHA+VhhW3LYVXF/RWBEneSPgYwmmqGTIXOhsAoHZZ81GGOipOv7rFfLDepy0tJXg+gM28tFrw0MayehX3IwJPQNofzAMqqjKhRyYZAG79aIsHZSvSRGyFTtttoqoIqgxZVYerS1YLpExdmnEUj0faafJJ2nkcPPYQt8nlCmkwGTsDw8rxIIF6nm6fv85L6RluVNoxfxqZKpInA+RQD7SHLH2MUG7LX9YZtaV1OaP9f485yx4Qg5RcNO0WK+uuBg1Rr1ifnpZq2GlXy0IsuC7KeSdXdorzApI2OFFKNkqrwLG4M2X0VtUHXpGNqByiOQadNpOWEycn4QE+QEwciDAxuOGRRBSyrgEcHIEE52ZuYOzB46PDk9jRQPeUorMBkACV1aNrq+sri0ePb11YXFjQ3K/yBX5+JTYgivnqW3/2J9Ka0u1Vz2QacakvbJSuTjC0oN336boOfLGSCjwBIJLSOXVijx2y7Fg6hrkBVx8siU4k6k4pI4D0CZIVLl+LndyH5tYD0wPvxEaHoo9AReEEyveEaeFc+E3uj18KXSwKlYrou+ENdkb8i4ROrqJ8vAQECwWhm+bW72KSGN+sAf38GyMBFtRYpwyoEPDaDMRXAipKRvEaEIKdSja8pb9AxoHHboLiQkgAf+KHMFrGaYKKNN18ORA+53x1bw+OrpWqs+1emsjY11V9bp7pb4J24Ag3yLdpdevYV/jU6rhgwwr1QPRivGLhDobghs1G4eGhIZpGfJQVVhGU2wCtjX+bq+ouhFwOQkwEmZc7w0JbiOE5EnCsn/Eq74SdbQha4sQQmFNqqo88nWE6+kpTxirMKCLq4VohiFjhAXvsXjhkaCBbDwY4xwRFwBDmgoXtVHHAGOv3RNMLCIqPrDH6DwwO2nwKFUlmJYvi0JRKIeEgJL7AfLpAo6jLggjUqG1ZJ6y+DEMRJaksXlywqrkto4Ogxv5RxlKiYYTNBUbIM+URlLYWixANNUPb6qeDQjaQrU4fivz/qEnqWTxTOofmEAFR/gIq5VsdvPnR/srPvZ1cq39AiMdCcrCVZSPL0Ro+GUHtE7rzCChiHIpf0cgdnzAKLc8MuPYzk8BGh/9UuW+ym8FHKy77MFs25Ny9ZMWko7zYxJ5tC0ab2NimcyoxoRDxNyCrUoeFE5z06KktcZpUcoKfhKSTM+3/FJRFPZjuR+LaIFg7tvfoFGMSx3vza+8quKwK5FYKg9bde83DtDeAT0ICHia52e1zwpx69zenJ82QyTVLtem59qgIWlfYlLaZ7GhVHh5b94Jyi/EpQSijgEpBwDOJQZrVZqaeoZmpalO51AUtywwk6JrvAX10hBdsjih0NwbFnHdERkC+lEsgNXypEUbLXxyOfZmQPzkzNzePevwoI8KY4jR7ixvr66TK/7XVk4g9f9RrMmlP3lFCM/KRb5X2tMxrfY1z65DifLfsvcGuubBikfQwBWSGiFUul1TjGksw3HNWGIqhDhgYT/iEaBIETUrQVm0lc0c0JyoTpahC7Z7GFhdo9f1IyXAuMB0fiqT2B9MNYDI2ePFcGUuEcBfQeEpJs+bNEwWcdTSwAmg7gRAdnFsR65sRV3IRVCM3wfNbXo1tO2FVsqChTIDQ1g8SJQEZKV1yVPyKtoicwtzWEb6PJtupNAp3MyNRJMMlpo9Cc0NaG820Zze3O8v95bHV+ZGusgBzw51sGA666u4k4VPdAFPWLD5EOx92I9MXLA2FPaU425dn1VPUwaWhqGTKIaUECEgA8OXJocXUXtL2+FZ9/Fy4lfT0JQDcnA074p4Fxw7Jq9lqwmPBIkQ44UDMkYjRQgpE0alyJiluSiumUtwW0xHaWpZuuo4GwBJtFK77e2kawKOxkB3Q96m7SFk1iXiTI+Q52UJW1UlJFFQPonCSd7dRo3KQ9KKWFGYA2tprcG251YHKbe7UFS06vRUAVPGDSnHoq6decx4i5ZyoSRi+O6Bu89ea44FKeYsOYffZUkNioiuJvIlbBIsVIC3Hcrya4ouxEB21WDWyuD4e5Mg1s8PzR3t60jtVYGrIzs+dFx+9JLd6rdRQfTd+6S/Q7xdKzhGlTCk3wvSoAN53UZbc8prxJBSfBBUKF3esApqiO6FYuAKlICO1204uxkBNB9VV/sZIALYHunv2YfS1EMhFOkKnIVgSoCVQRUBGLvAHYP3IVPCuWnevSgkTzsN+sTB6bwDMsJrMzkhyFf4EcaTM14WC2+efnvFpLA0YU/RUYlRWqYq4zoUJPCLY7D/cqmC54VpHSoQ5ahAoJDMwEwNBR4OPKXEmWmECQWCG672ZqcmZmePzQ9O9totelhzloCYce6uX4Pud/VlYWzS2dO4+HPyH6Y/IGxKgUkgJFSHMNabbwkcwt3JyCBp3YD4xZ1QqAWVh2+UyQ1ffUMxYDjYDDH5AlYy+HmF9Na52m65tMYOozCVxqpigYlT4L5RggF3w5wDNNgegV6svIYPfAZbwnG6kWs2EYWGO9tbuDTbKB78XrgPhKweD0w7XWSCdYIxlihMGmtjG3gLKWmaxg1WJZMazZT09spiAFailQa2dO2FVtKU8yhDw2g8OM4capxKcKOkIx4VoGGAj+Xe5wWkNdkl8xSMDxlcVDDIY6ply3gHcZbvbUudprJsSnKAY9PoU3d1TU8cjwNK8rY2tja6PaazQaexTHZmOipNcC0M8bkMXPRDsN7DyUnea+lLcmDo2c2q26F9cGGd4btcXQCw2Dj7B2Co5oAYF6ezTaVMWwEkrS0B0qevVNlsyFE445YlDqhom54roYppxeSeiIbp7OnBkxk8J370QHNFawERh8B3ZXSUX4XxqyRHL1EQiRV9+arxaCGpinrQ+NUAFUEzvcIVPvC3vfg0NPg0AB7H4PRe7C7QcF+tLsGRx+wkSDu/Hyy8xaSgeCu3Yv+zbSZyUw2oqJUEdjTCFykc2TpCYsU8pRy+Dlsgc8TKjNYCMvD8yplkJRsnn4e3zVZZX/daFTlKgJVBIpEIJkALjPrxCxAP/WsTV8ERur34HQT2nhqq6bFsC4Umn77L1JRSFnx+xqLNVsHk7askRraYqHS+a5i1gmTPVDi+cZTJDQZYPhIDd+azFTLkSqYuPzNGkbUKqgS8mx4/m+bUr8HZ2bnsAQYL4XlRIAIkPd4Yiq97vfsmaWFhe7KOawLRTqQjpfijTHOBVzApbf/1vBubLwneEMt39SuWvu+llPzRUxNFyTbITVNc7RNSAxPCjFXXTVdLtyvBl9rytbJxXgMK65HEOV/Il5ZQU/frbCIkZOCj2SYrppTdvlI5VGOtbcxPo4lwcj/turNiSZl9pqtdr1B7wXe7GNBMFYDb+isP/SpoS6Mg16yGEMBOobQxDgeAU17PHpFBnIOdAwqR8VhR7SJFCE7SgWKQwNYG3GoONVoRdgRkhEvUMAdHTSbUv6PngJdQIOiOKRRY2V4HELA0wwkBzymcsAdrAMei+aAUw1iisMdLr1+r7vRaNc6zdpqf2sdT8Tn3K6EJVUXbIcnRVbxGfDJBbIqQpWgWKrBpHlSJY9ZhvsqKaexwSan8V/M41sKYgDfCV0SYSOaFSgYzVEVxLkQjQZi8OOttCOFJpfQcFUvEAGnK1Ac5CNqqcqKYfm2JNb8evSkJRhYPBp8tYTjzLZfmq+QwDC7S8Qi2I4Eo2gAtVU0y6IS/gwqVS03ru1jkbr6xNqreY6YIZmC8sLUWdi4ZQ1YAeMm2+SvBIgrjXIcRtE1U29FFzUvMkR14g7eCN8BrEz6HghRf2fxWMYIcES0Gm0NRxHDuisbE/Hl1QTtKFm+LTnsqnihRqBwdxcWvAAitettHZ3Bkkju/LjXHbfzvuy8hWQMuUPwteu2M22WHCbJZo2GMtKg7Ic2JRpkewEs8tASghASP4Wp9JQC1eSTB6nlaPBZLaFqU7wtcdIIqLSPQIaGEpbT1EO6BtJbxRcrWjhganLmNl9HSeQLip2icp5XKUrOCeoAkwb1jt9DSTM+3/FJRFPZjuQFXwwuHVzw7a0aWEWgisAIIxAkgL1ZPfWImJyrk5Skj7jSyVdp67WJTquOy81I3CDDFh4IkornOQVztF7+i2QVskEljlx8DZyzFRQECuAgwRCLUCXLha2zvHI2XylFQpPFuK4lnQg4EMd/x1nD16pI/eJ5v82pqekD89NzB1pTHSz8hBIHS0kj59fvri4vLa0sLqwtLXXX8abMTSzOTDlqkhat3MSrmvH21n6fF48W7C3rH7mNjxDkG3uVbo1LFkH9rRF4S+JaVwtkbwv6qWGzwTRX+8S+6IpK/XKLtCC2mu2QvKLmK0fRU8wOYTJwoABpjeOC0z5FqyLpheKb/Y3aBuYY5ILreCo4LQhu1GkhcLeHPDAlhLH6k147ru0nPHCRs8oxT0QeAwzjCK46hrKQhuclfOH89sBNE4cSoMP76SPkGIiz41QfOKsGfTyJYXOMFsvyZDDB75fOUCFB+osPvgxFYUF1VB8famtjk9YBjyMHPFlr1tvjlAPura7hlghj0JYMSQrCwCJ6zHP9XrPdnGpOTPUmeNZjCW6uO4JcKLesgdMuCwhfRU8JQd8JJyZIHq9E1CWNii1JUooX/7DXStZW2MYNKWBmx37t+uygmCLxAxmyIFSDqEii5VUMkC2gVfrlxxHkpHaSYrGolMf3pavajkWAxhyNDTMsdsxSBVxFYDcikDu10IAv8DFiaYBGIA0sTQD7mrDSBALAuJiixpmM4O3TGXKBuao6WAS8cA8GUWn5EdjdkI7UWkkw7J4lNfxIjbi2n3wZZdP2Xbv2nUO50S50INn1ZlmDhfzLbWUlUEWgisDeRCDl8vXeOFNZrSJQRSAnAvvs7NX1Fglge24QXhZ1Bb1y1kmEA+focLoFLGwnmzU8/xm2cP1ap2EcyQuqiBYj30gvlUWzJPlUuH1yJVyuPcaDmg/l6rnlfE191bOslovMujL4BSYB5hKknBhargiPVYQTL3xtdTqdmdnJ2bmpznSjPclWJFaEgDzgJh75vLKM1/2uLi1219eQDAYduu54185qG0jbUWfVMSw38f5YSRNK8laLJrZaV+Gy/0LDt1w/dvYxI+3jOFeYjUQiEr6KqZGCUTLUeCFLzuOZiuRJlS+gohQ6ZmRjNjWTtlyW/IwDoyVi2pYmUnmy0nHoO6ziRiKY87/NGoZLrTbRbtfQo1gJjBRxv0+3YmA2kuYBNmyUtRyWMn0AHsYLLUMfH9dDKBM8Ey00HasnAJyxFJPPpyUQ81VyJTxMr5JUTWWnMhIYWb1JuVx0E93egaVVlKqfwJhIQDCBLBqrphCXDaklxUP1/DoZoBzw6jrag3XAdTwLujOFpvXX1nl4xyDw6GV8bHww041t4NHPG30sne+0sAgYRXXDitaHNGx58yAF0QmNSBJNZO1WC2m6DSeV+IG5xGI4QVGSTOW9CSXzsWVimcy9JRtJFAhC1TlBy3VNYYYnAWGnDj68k3BpWZ/t15Sh4hs4AgT8j3+Ko3stioNV1KEioA7jNIjCYEf6L0IaynqlXEWgisBOR4D22mrP3ekoD4kfzr5xuGJScd3zinrxjFd06X5qbDlfIF1uSJZWGMGoZQ/3wjB8LxfOtMaWi3EaSpRewsEd9CLqWj5x/3mU73MlUUXAj0D+Lpgu4XGo4hF8O+m1hOJAKA5+nn6CnyA4YFWxikAVgSoCJSOA5+Waj1NUtCTFCAcFJRk/1+D1MaKA4nS7NjfVwLNRsSwvQLmwqpSJwSOFa/yUUeSe0OTkBcRokzmMkshxI1q8OxiVVF31qKk4MXGd04i5PqSDOxwUnZrBQUHIhukia6YVZzGspcaq31Z7anZ2em6+MzPTaE0iY0tv9NSSWHO5gff9rq6sLCwsLy2sryzjGac44Mu/hCtGD/qybpOeHszLf7mzfKe0EWyNohQgx6KGTHAkbgim4ICA7ZClaC3akqdiK6Tg6FtGpJQqFzJMnQqcElFocCf0yMhGDBrPVBNx9ZzVHYxMdQNZTMqIS4F2t+7GFtb8Uh4Yj2OuTTQoHTzWaNQ2G/VGn7oYMvSEaCQC9b/sm+uMJyg4zQhM0yryRg1ISDM7AzOUMvFJMIoSjDtaQWYMXRtgm0AcAMNT8QClkhE4GxKIenIejmdhsApl/vHZ2saNAugu3DES4pDFQa0Oqhf6YOpZgOGzoKfGOqvbY731xPuAAeLFVKFj0NBToNd7renGZH2iVZ/omnQ45GmnjZiPU43DQSFm13gj6EkROmvQOJTtpTJmcRrkSlizUeWhn8RgHcbxeaxBMK4RNkZ2FK7cgcVU9YVgYDbDPUTighXVKiLn0LW2kACMAn3ILpkhOr2iPnviYRX9pVWlTiDkjsLVQtV2RyLgdhPmj1HbGMdTK44ePHDs0PyRg3OTreYk1uW32rhprdvfWFlbX1peO7N47uXXz7x6ehE3MlVdPur47x+8qm/3uC9Gvm/vcXv23vwohjQwCndMYcG9D80QHuxiK0fRgUO0dD+plo56mYG7Nw3dy94tHc5oiHYwxiUcLCQ68mA7VkeOHQ12RawiUEWgikAVgSoCiQjs4JE4YasiDB4B9JN9BHT0EmLayUSU7pyEuD7ROh3U8Yf/U83aTKuO/Ei3hxzNlr4e6srvWDnq9I5Y05kYXK9GOrGOBAM9nBbXeXOtqRgOeW1xCPU8VeVgvCEJZoJg9ISDLvF7JaJAJFx4RSAbzdYkXvc7d2B6bq7ZnsJTdjmLo0YRysjq9fC633MLy4uLq4sL/V6PNbUJD9yrYGhipTY/OLiGzqO8IGXrybLxWBeMIgqO/4Yck9M0Z2sCbRSTphzxRBH64kCCExAMfkAn9fAjJPo2WZZUryLqCo45qn0cIRFNRQq94Ho6fFTcJ5Iyhgye9byJF5z2xnsT47VGo9VsYnk3LQdutbabTdyAstXryeuB3RWTUA5dNSQphGzPOCZSPIAaEFt44nR0lyfvhvqEAFQPaeUMQDuzUUXR8r2ISxj7UrC+xMWLupMhR1MHHttL8/P4WE8LKnM7ZlXbyd9muWB4EifOAa+ug4rsb61Vb29P4T6YfncdcxgZMuJxqzgu0YPTxzY2m/U6DtBruHGiL5Mq3TaTp54A9TOUygHyVGFFIImUVGMKnAeXdfCFkjq4csX1jUXAV6lVknU+AgOCErMspQC6YSULEFeO+MuCLYxTMuoOzUH3qKBzg4x/DjeO4whUxT2MgCSD0W/y4V2Fi0JC56mPLWm2paCEhxDMzU3feu1VN1178u4brzl66MD0VBvHqOmplkagLQ4lPazO39xaPLf6+sLi9x59+vs/efqHjz97enGJ73BQshjNPNRUNWWjHeCtrkSHaCBBeFY+WRN7JOFK4cYJt8rcgCCK/J3gMMFSUTJRJwUP3Io5iKrIsTHkUDKsW0Fw8J/PiNgwSaZKR3ksrVX01hgAqKGZAk1k8sGWAui12XA0CAtrDU1M2eK19xEwJUwYuTg65BCk8zxPnisOxSkm/DFtZI6SxEa5R8dnR90WY6UEuHbLCvsioCs7LKHbJEKW6SmJZHr0POGq4kZgREErDMNd5Tqwe+V2s3n5sYOdyXbgA2bvJ194ZXXdnG7unkujsVQ4+LnmSiKl7I65ZvaRQDAW9pFn2pWiVxS0/P7b7v8YS8zKjf54q4Bx8tjhwwdmcBOzPpBl9EiWSXoY2tZ2d6O/vLL+2sLS+moPd6XGrRr/Y2z3YB2cFZAeXIhppToNYTskoUyPUbQPjUqoOdiplhgSmrJ1NIRGmFqEyoU+GkVvo0qZzKhGkWAp1KLgReU8f1KU/NMlT2OgSooZg+WM3xRRR4K0WEpEPY6qeDRjpSpUEagicJFHAJPGRTM7qARwZDb3D+aZQyJlQqY5GCgUS4kn5OY7zdkppF7omrNM0ZnI5x2TG2pai/QCEgx45SQSUTjDMjm/WLNESdYFxfjFaJkm0iDItDKfJmLokIt1d0I9QXARUPZB4tJsi1O/9Xqt3UHqd37m4Hx7ssOL9mgBnwLlB7ridb8rS+fOnT2Ntb/9Xpdij/XXkY/WEpaqjY/h2c81LP+t6bf/IlvPDsQR4L9ugo+nxDOusZk+EngNE7ETI/EpsTDyNKOOkWqcIVRcaMzDFYQUKfjH7TI/ICCXEI07IK1K8U4x8zYWmcNMlkHCdLPV7dHrgfHBy6LV64Hr43g9MNZSdbu8FHiLrq9vbya8ZZsCHOd5TmHSQ5oZJLqHgIeoVbLeeSoFKxFtIkXIBQGVmAD4MNbnHCxH0EfQenGq5tqtyFm4onoWoWCJjmzb1DtY/E3jYQKd1dVRHNwqeR62oaBHvljcBaGm8XDPyvb26jp8mBzv1PE+4Ok2xv/G+rrcxuIbCGuQ3Oz1+91es1PDU6BXepu93hY1h5IOfGqQMGsImC1oquOQUvNJDd9Ud08qJMvJPC1DwjSZQRRTLc+XgsICbMCdQ1iX92mFgg3lByiNbw0LT+NYSSpBTrreJZMJ0xjFcEh+kVES4qLFkvhKfixGyIbjHCQKoYldEiBBoWbkfLJPNnKUK/YOR0B6B8+kuPLSo+9+25vfeddNlx05eHCO3uGd9sGZZLtJ5zPTk63LLpm/9dqTv/z+e1987czffffRL33zB489/WKR+wvTwCv6yCKQv2sWMTUalCKWKpnBIlD1UMm4IWDhgbYkAosXhhmFsUEchM7Npy7/rz/+/pPHDgX6y6vrv/OpL/zDD36yjqdSjeZTDcPRxHGHUfZwMBZvGc5Fzws/01u0U+6X2MtKiKa3I8HxGqYq22P33XHjb/zcOzr+nYIJ3UKEbq+PnyB40gxOTR975qWHHn/2J0+9+KMnnl1bX9c/2ArhVEL7MAKFj5n70PfKpSoCF0MEiu6jReXO75hdHK3cB31EiQr3Qq12Ke0SI2TTWFqVt+hA/tC5ijl5adQmZtq0xqjXR6YlfzmswjgvNnQBN/zQ00XrtKLUpIICCa3Dwz2GEMhnVQdS97onFV32Ru2sEUuQEwQjikJCXZgpZGGO15ChazSnOp3Z2dmDhyY7M3wJH1fLOTUAe3h4KyXw1uh1v2fOLNOq3y6ybrHUr29JfNVu0fJi3EhJnYWXg+Ltv/xYYJXNEF/wbRDYsEvQIpkRYAVg4L8AaBitnbPlPEeODLGNmxHZOE9RORkTUbKkuLriMxNfKqlhtaSUqVtYJESleogc2xUo1pTzw8pIfPBA6FYL19/xSHF0e2uqg30UC4I31ru0IBjJNAwAukhfaK4LXZJ3AI+NA4gw5KO3obCtZ42GUFvVQ7IFQykLTwtmAmihAts4TpzqwoUSYd01wKEqAABAAElEQVSVHW15e5t+6sIeX/Uw3TSwkaKe5/VKBCdCEjd9Bo3Z3moXY7YzjdeityGD3+49zgHnWt3sb/XX+7RGHs/Yx/PLkWmy6KKtgkXjiot6OpIssQ4ctPKMkagHzhXKgYoy52QVCBmjP6shNfZC28wwKdL8jX3ZWmUVMQcUYkmFJPlPKMYCaOojJUKiP5LVnHJbGXdaB8+Aptv4ZerURGytXYdIZC+jzgfEgeYqD7Wq7GAEeMSosbKNBb4njh7++fvf8pH770I2dwCzOLdEJvj6K45fe/Loh++/64sPfP+zX33wiedfTBkwA1ioVKoIVBEoFYFq58sO1+BHy2zcKHdXjfkevPWWU8cOzbWbDZ+Mhz1M3HbdyR8+/tx6bylgDVod8OxjQHPVAN+twO1FpDGW/HPkARs7QrU93IndVpTYy0qIuhYGKuMKRhsPfErMMwOAuSCYu+6/88Zub+Onz730xQce+utv/ODs0nLkx8kAZnJU9kl353hZsYeOQNXRQ4ewAqgiUEWgikAYgXJTKx5/CYXwQiOTQmCpJ1gJgg/mng/h1b+TzRrWxXFixOXEbZ0fVLp0nPggKriky/9xXZtSSv6FYq0DOXBQ04QEUj4h6kCGmtgUgSyz0rMx3xhB1m2ZS9SCFMOL0WA9hcwBoQcyN+rN5vT09Ozc9IH51uRUrVHnvARFS651I5mHtZury+fOnTm9em6x1+1iSV8Mli2Z1uiGu/bpVc14ADTe/rvRp8c/eyF1BSNuu8C+qOkDJhueKBhmgUIweOIaBj9kF2CkighWDltini6UzikGHzbI1kNkr9+sWFiiB3yvrfWQ9sd64CZeDdzCOlD8mqp3avRc6D5eHYzbCvAfC4K3uHXFbnthOxileLEsrU/HPS7iUOhm6E9GPVRV9ZCcgRBnDQ2gYOM4carxJMKOkIz46AvcLVgFjHkGK/+jzwkoZlTcHt75VARhhFNGXBwp4M2x3loXq5rbU23KAdPEsdVbwyMH4xqqkRCiJ5b38dZqPAVhslFv1ekN2vZILhNufO/SyPBRivJdMB9JLZPWUeIVHw1HZcIwcx+XiSofyIkCVWUlMBG0ulNUCnbjpKwNSqp8wAiqZNsCU0kQA6IvUqIWmkMXFAxsCSOV6A5GgBfmesNhZmry/rtv/fgH3/6mqy5vNuj9IMN8kFTABbtf/bmfueumU5/58jc///XvrHW7wwBWunsdAW+07LUzlf1BIyCHoqozvfiFBzSPOerKbsWezlH0icfYFceP3HDlpVPtZrI1mO3vu+OGL3/rR6fPLtFvTLr4MqSPQ6onfcykmEZmShVhit+jwytic3Qypf3eeYVRNa60p6MyvJ9xMFqLxqWE6H5u8dhYq1m/5dTJ605e+qH77/y9P/7rbz30U7wui1ymXVd23/3dgMq7KgJVBAaMQLWDDxi4Sq2KwHkUAfUIaNfjtF8lWVMCzo40W28J0iXjuuXsZKPdqNH6SlyoLv1xgUsr75RC/Jo4WcOTnym1gFsqKROkU0EUEzTEnE3ih6Mpl/FxMC22rFSzzEqojYQuGLImSAe7Nb8NhlOITGGh69sTeIRpoz05fWBuZv5ga7KDZ/ZKkgaeYxQhN4yLqkj9ri0vrywtLC8sdFdXaURFYsIOGLfFC/NbXegYuePj9YkaP1Z6HOtAdRYZbN9/vwYwkRByggm+pumtImi7flBsTfMj7bFCbsngu0Qqxxke1auE+mkIVo7VDYYUtP+pDgTqtlqiZGySDlU8ggA5jgjB+abln9gv8R8Lf3sbdUr/1ifwV6uNYRHk2Ha/ixdKd5EG5v2XbgqAdnYemMfnODAgh1waWYAO/rIccXxyimFrVD0kOxrFikMDWDNxqDjVaEXYEZIR34GCNsepfXqGMOaTQcxonEF0XZ0yOKmyloG3+Y6tL6/BQnOyhRW9dDPL9jiWtlsR17qU+TIk7nxACrjd2ppqTUz1JjgBnBQ1lBgeAilkHPWojNmadgEnvrDE869I0oJX4isBIbriZI2oGpWVFap4Ihxqo7ZtPFQFYeDbftQ6BwIiIkuIK1JjSQ3IW+0AuYKyh6YADA5r+18aSykaq4buixep6UgWka1k9iACMvt7hjHZHD9y8Nc/dP8vvvttwSt+PbnyFSzcv/HqS//ZL7//mpNH/+CzX3ntzEJ5jEpj6AgE88LQeBXABRABPSj09gJo0uBNSB48y2MVO2rKIbs8enkN84uSz1RuOnXi0iPz9Dsi9pmfmb75mhPPvPTG0vIqziToDIjEhhwbu9fWWJsuPlqxEXhexmXIkTj6NpdxaAf3gxJdXsZj9YMp7cdLRjgj55cZ0oOykAbG7Sy//U8+9h///Guf/cq31td7HGOa8qiZ+qfboPCVXhWBKgJVBKoIVBG4kCJQ4mxhb5vNCWDnhEX9HvGd8vg+y62RGM4OtLQ9GeO0Cdb+4v2Ctdp4v09vADZiLsL5UVaXo3OcpczCRA2ysvyXoqGuXMsZlA1PDlDALmY9UJKqUo1b1t1GokZCF8BEUWqaprdxU1GqBQ7Z6rI6FmM2Jyex6ndydm5qerreaiOG2jDix6lfLPVdW1tdXDi3uLC+fA4vdkUuxx+32jVpk67Buina4YcT2RoWgmL5bw3ZPloAikWf9gMNlSYwNIMqaBbTSBg7hicFN8ZW2JYMMjc5Txp6Bt9ipFI9RlzRRcmUYCZ94Y/dFGnHYyG4gE7ZZWoEh51btPqD7w3y04UX6uILXd/HXQb1Gh6CW2s2UcSLgrEoHLdubIGFZ9ZTJpiSaWIx7YcP9nnkkOHfFt6mw0+5T5NMa6Rtm0hQfEJamm4qfWgAi5wKlcow7bAgppSjZORGUYAtHUns9Ogd2dPp6ISBu5ueoDWp5gzDFFTbw7oJictAeXwbedyuzgG3JlsYsXTHTMZr5wgBImObdGjebONI3ZxY6U306IZvQjSmShSUVwiuKoW6KuYGnOuaCC1XzQiRN/TngiUqgbKVZYaYIBBSdGUtx6pESo690JWItE/yFMge+kYdu+iKSqJtjrY+elFgrAvisyNWFfc+AtFrczjHOHX58d/8yLvf/Zab07K/mJGWVtafe/mNp55/5flXT589t7y+3scBZabTPnJg7sSxQ6cuP3b4wGxUHUuBDx3ofPDtd3Ta7U9+5q9ffPWNvQ9E5UHpCNhdu7RqpVBFYL9HYETHqwJ7yYgsZQRUT/OOM1j4+/Y3X38o/W3u+FVxx41Xf/0Hjy2trAo0DudyOsiXSTLM7QOWtJQ93nVvnCjvuu3dN7hnrd2bzk0L8P7yJs3LgL7TTut5JzC7g9Uj8zP/5S/+LH6hfO4r31zt4oFS9KFm0o236vcL06qvKgJVBKoIVBGoIlBF4DyIgLcCOHok985EvQqap+t6a1os50AueX6Klv/KclhwXZbR2u8F76J0lrOc/cUToOm1o/wqUBYW9cIgjgFEi67iO5QyRbl0zBgxNekKF9wpi5YQNFlvk2DgpJiJ6zAV55VIluOJz61We3qmM3dgena2gdRvDYMTbaa1XfiggFWV/fU1WvWL1O+5c/1eD8s3eQWfiIg/jOm7ne4WZQHoNbC4X3scrxNGX8nadHEXKEgQCCx9a08UxeEIxbEjPPlmGKWTsgn8FUMpshSLlE8qA/JZvBAuRVaTaYs/xIYdddqnJUJArrtMKTuaUY0E0YVIMAchUANokFE+cGt8YwO7a623MVEfryP928AbqBtYEDyBBcJ4LjQeCd3vb+EOAfpQ87n1bFX82sZbvrCAne79p9s+yuywjBftI9l7B2kb6YwqYKk4qQzxOJWdyhi0pRl6ypYXSRyJ0OmYeehGnYlxeut3xkeYmSIZ2iErjhOnim6cF6WCiKmsv9FbW0fbsA64OdmkexEwIjF0A1ecOkYrtDa6fYz6yWZ9sr7Z23DYvmKCgV2BabJFkfcNlV5F2XmeNJC0tAYN644IsTRbbbHjma6k/tP7mRZTqE6Vi8opcR0UmcJIWEhUcnSoKh8mWg7ntMUBQnFkuGgFNc8nixvGZCgubE8VFdPeJENRMJoRipBd1Xc3AjTnm651TOMes+uuuOxf/NrPvfXm65KPfUbed3m1++OnX/zc1x586LGnn3/ldTyIRM48TI/yWdI4krunrjh+3x03vvdtt1194hLHAhWRAz4423nfPbciZ/y7/8+fV+uAg/hU1SoC+y8CdOdP9SkRgdgEG1XfubjSLB/rN7yU/TiW//JPAHGp19+s1/GUGfueEayoO3Xi6Gtnlnr+PXl0HnMxHcHjZzrRjlTEwh2fBbJXvEGcH0Rn8PblWzMSO7dnxdw3ZmNMlzaEW2JjCADXD6esf5yoX0TCgZnCbXKwcJkiX+3BR5969fWzwU+9NLV2C6/Awv2Fk5ceOYibV+ZmpuiqZewzOz35Wx++/6XXTn/jocfwM9GI8EzI14FSFI1kVagiUEWgikAVgf0dgUEPTvu7VeepdzvdGTYB7KYzTLD8cwG/FvxsdZje2QZflayNj89N4UxjAo+ZxNWu8/BUQV3KNpHJKozjvZJY70ELAfFAYXXSRkHxApOFYHkyAOJXFa1UZglWqXMixqXPDMMUHDihORyn6IhRMSFq+HEdbtT4eK1Ra7ba7anpybnZzswsve633mA0UqP280uUN3rd1XNLSP2uLi5211aR+qW8DR6ybcG5pANmPBK+lTJecWGcOoqAAMidJct/OTKOTl6kjCgXTE3UfItBzffXaAZSumr4KHjgqQxoKp4R0WCxbYqQJqsfIE7qV4NoCV33toYpBXjuOe/JplQMBPGp4hFSlDLIRh0FzH08JaF18vZfjKs+MsAbG8gA1+jh0Piq1TBCajW6SYBfD8wDkwyoprBPwMGNC7iUA9kCP9ZsI4w7ymVGy3A/nxUi5mvEJQbFMXooeL1tGHF7o6OGhlxHMKmgk9BFSJvxNJL7VoIQraSfxngqjpFQyKmC4GfxaGDiEItULsV9fKzZbrem2sgB99bWNvs0v5F2EgFvAt7c7K33J3BRAK/FruP9Be4r1d20q+pQH4ONaVxUwBUBjrJqlMnmkgD+vA/qlJKXHUcQwMeuucU5YFCUxrbNABOMVvHAqKLEhc4VfNGFW1pqS86Jg8J3vlnK1j0YowS/qGVWTJXGjXdJGEi7YCLgiEXPwhIWHIKj61ApaAhj0jdPpqqMNgIZAb/qxCX/1a988L7bb0xaXO/1v/+Tp37/s1/97iOPo2yGl9d5NGhorlpZX3voJ089/NjTf/T5r3/wvrt+5X33XnnZkQATF/XeevO1v/Ghd/67T39hbW094I6wiqPkgelpJDyOHjowg5eO040jTbwsAWtEkNs4s7T8yumFV95YWO91yf0L/nNRNPKC78W9b6AkFi/c0eRNbIOEG6EphlFMagAXojM9zvm3777l1LHDc26696/+/gdzs1N3vemq6cm2WJqeat9w1aUPP/7caT8BTN7SXVzYXLid7wd7xzrIN3N+1nY9ODzqnKFHZ7fb253JFo7vhw5Mz01PzXWmmo06HFvr4v7S7sK51TcWzr18+iyeDIwTzoHDnNlSMAsjZwK57kEQrTt2cPbY4Xk8UAUZ0JlJPJ9wYr23sdbtrq738PSVV88svrF4Dr+b9C5ZFL2Mx65TOeXopJPU+c6PnvjU57++utbVLOW22kgsE01ptZonLpm/5uSl99954503XnN4fiaZCcY64H/6sZ994vmXX3rtjAZXW2oyAjrEGAgAq2oVgSoCVQSqCFQRGCgCOM4lDnIDAe1HpdE1ziaA89qZcxKWzZ5q1fFgSbxsEenfgucxef7sIp8GUonBhIu4OHlCXgHXwjY37Nt/B/JYrjCL9ewYR+DlCnC6mmmUKfggPtmvuZIpnBQya4JHqV+ssGxNT0/PYtXvgdYUpX6RvMAIIZ/p+jotzNzorq+urKydW8TrftdXlpGlwIkmrdmlHyjiBm+gg61Q+FuKrqPJMmV/63X87MbjTwmZ9GE4FDQEU9AShkDXZzWRMHI/vr8Gx9cjsrA0ol/TXBGDjBZjGAWqNj5yWEsRYrIMJMJWsXHP9CHhGfWADapIpQt6Wl7FQFCHj+YjOAmX5JceyDTssNYX2eCJfo2WAeOPUsD1yck6duoeXg/cBxdFGq3wSS7aIRC4oYHf/oUEsBqfKU0WF1iV2mSlFMPwibs3nxwXDNv6Ln4aBgrgWbZh7HZ7kobJKXoENFKLNFkHyU7HP1G1bXBYxYsCEnqRSoW1UFZsxakxPzBz4pEJ6306GE3UGpPN9vQUX89Zxy1Yaei41rG50d/qYREwEsB4M/rYxqb4ErY/4SE80zKuhk7cElumDmqC0vZAaLYHQ4NQm1y+23IuE1MEJmRaIHxGMBMxHx5cQAI1VynIJSYIChX1RyhJuvBdV3wnlb6r6JY1vNlSqpjytJTCVkRyHu3SVSOaUUgzAVBAZyhWrFFFID3OxDl6aP5j77333tuuD8xh/nn59cVPf+kfPv3Xf7+wdA5cM5JZ0hkE3I08ntXUcHph6Y8+/7fffOixT3zknT9/353uqmKkH/As6PvvuunJF1/97N98IzA6fBUHw8uPXYIHmd5+w1W3XHsFUr+4ga7dbBof0K717gaS2b3exsLKyrd/+MR3f/zkw489c3Zp2WnSsI6QG0cPX3fFpWo/Bp7epZfX1n/85AtnFpeGtWGhCQk71KmTl1592dEkLB7o+iQWbp9dTLLSKHg0wzWXH8frQh0BFR5cen7qhVeWV+hV7iP8wH84f/WJiP/nVteefP7VN8r4f2R+9urLLpmZmjQeLq2sPf0iVh8tDd/L6Em4epUf6hdfO/PMC692+3b5kTEdKWyPHTk0C4TgeekvvHr66Rdfw+NcIiplSAjmlZdecuWl9vYLYD7z0mvPv3IarIJIB+c6AJmbnjQT/sra+lMvvPHaQlYMG/Ua7J44enB3Zne05szi8tMvvb7E75WQpuG098SR+atOHDV7vdAh89SLGALL6RFAcEocldDG40cOXH3pJa0Wbgu2n1deX0C013CXW/qnnKV0HJ+TnOwV5eSxQ3i/7/Rky8ifWVx54OGfHjs0d8OVx00CGBHDnUBfefDRM0vn5JeukUcB7cVx2594XH60bBt66ZEDVxw/inuAXLknnnv55TcWcOeqSxygjHbeeu0Vhw7MugP8ez9+ColAl1Ic2fod6IyP3X7dVfOznYD8oyeee2Nhmc7bR/dBrK+9/Njxw/PYrQzqy6+fefqlN9Z76mm3hm4Lqa5bES6N337DlfMzHb7l0LKeeel1TER4s5AlDVfCKeNtN1x5YKYTdMRDjz2LO7GSQzZmjfdK/sLbcXBfFwbtPbded/0VlyJJemBmMnitNX4BoyOWV9cXl1cfefL5bz/y1Pd//NSZpRV7GI7ZKEKD9TtvvOrg7AzPiuzQ2BhMvHZ2EawiCGkyUMazWG644vibr7/yLTdfc/TgHCJ2YDZc9trt4eylh2Tw48+9/J1Hn3rkiefwdJbhd580r4rQkz2YpAgOGohlETwMRKRQxLrdLk5gnnzhlS8+8L0brz75iQ/f/6673tRqetMI8HE8fdfdN//Jl76Bm/yCXylkxv0lo1sF+u03Xn14zps0YAuzN10kKfw5eujgTdecwFkf2UloYXd0PoqvTqeZARLCsdLtnVtafemN02cWzw05loB6/JJDb7pKueRYH2XxHx56bOlcof335KXH8PwJLFYw5hfPrX7n0Z8Gz5kw3JEXjh89fPPVJ9FBpndWu92vf+dHpXoZVx7edfetPBUbmDHMKg8+/JOR7IBXnjh+w1UnsIcY9MeffemJ517EBb+CATk4N3v3LdfRZOiPOVI3oAWxUsS+9+MnX37tDfVzL0WmIlcR2OkIFD3H2Wk/Kvwdi0A9Mosl5zURcujJkYGpj/iOjPEZy38PTuPVmuOYZCX/G5ykGsl9V6AJXSb1WMOi7uK0CEtT6QCDLBJOkUuc4oR41nrIyaqXOG5I0xJgPtmvBcIxZozmqlEokZNo1Nszs53ZObzxtzXVQZJNHg8ukmgEqnj5KnK/eN3v0tmz3dVlPIKXuPQ0LeKzpGPMIThUwYt/U26Eeote9Yp1nXRG6CZxHaUUQJDxXzIbhUeIhmVM1QxNS2wJlZHFlDnFYLMszTAk4zkgVCOewHUJStYlSZkY+EP7NHZoRunEEFiR+FLQCEqj0MbC5oWpEJwSMo6luERk+f20hRtW8Lijfr/ba7SatBIY9z/X642pGoYvnpeLbBllgrc2kUeEh7jwN1GndCLGEnZ+MhczYeyHgVHNVRvl7QAbAYiZLgGW5UVRnnIhS7yERyVErUVbCtXRY1jzKi+jjx6Q0lVDqIx6HCROBYww4uw4Nd02WjeGu2ew/o6mObzZut3poM295XVMrdGRSQ7gGR0bG/XNDbyvYaq+Rb+Sk3ajmUV0Nh16EEoGtxZoFCQGI0szHfBSScjYphGouKFLIqxdEwwrrxAdgkfRasxn4+KBK09lRdXiVohLCaNaHU1PPZBoGYOlwTVjoK2goXOL5x4GslMpRSJA80jiY4iz053333v7P3rXW4NMCS5nPPbMy//Hp7/w1W89rM8S0Y300XjqBgchYjCaK24Cjv308ede+t1P/eW55bVPfOR+JcYb5IAvu2T+Q/fd+aPHn33iuZdc1qBlcgpZ3luvveqD993xtluuxauIgxYZZFjH4wTxHxSsh7vu5LFffPdbn3v19S8+8PCXvvl9LB9R7TQKAxVajfpt11/13/7ah4IMH8BeeuPsJz/95T/72rej8/pA1kjp2KEDv/iet37kHXcG+RWwvvnDx3/vj79UKgHcmWq/7543/6N33Z1E+/5jz/z7P/7yg48+OZJAmfYiZfsL737LR++P+P/gI0988jNfKZ4AxmBA6vrXf+4+XEY3+AjCf/jTryD7ZygDF3AWdeeNV/+TX3gXlpYLCO4n+MyXv/WHbywUTQCPbV9+9NBvffgdt11/hXEDO92Djzz1B5/72sOPPz/k2MDtzPfeeu0nPnyfSew998rp//CnX0UC2JjLLiCGl8zP/eoH7rnn1muN5Hcfffr//LO/RQLYUMLC+BgGzHvuvumX3vvWduICfSg8ovqXv/XI73/ua0vL9nECmItwM/dbbrr65++73XXj9MLyp77wwJ997Xv8MIM083K8SuN69ENz07/0nrf+wrvucq389NlX/q/Pfu3HT2NmG+0u4plOVNBjmJw9izwVEwXz47Unjx8/POfmyZ595Y3nX34DT0F41903HT4wY1jYd245dfmLr545t4r3dIgdCwuoksdxOKbUTxw98t98/L1XHLf3JeAHCrII/+7TX0bGsSRsGACYef+9b37fPbd02irJ/cobi7/9v/2/SADbn4ihUk7dNtsRvPLYkX/80fvffN1JEzEw0ZBPfubLf/H3Pzi3rF6f7GgMXsRdcrdde/LXP3TfJfOzBuX3/+xvXz397a5+3amh2wKNhQKf7e12s/5bH3nH1SeOuOvCH/zRU7/zqc8/8+LrdNKc8kFkUnkJlVuuvfyffuw9N119mRuxz3z52z/66XPy/JyERpJABvHT4IpLL3nvPbfedwceVX4YP3qTckLho38NeyUG9jUnjn7g3ttffP3MFx946Iv/8IPXzyzFfjakIdHYdVuK6s//zB0/+7abcL4hOrit5H/85GfOLCz3c6+nuUC+QVxxuutNV3/03XfddNWJgwemcYjx+baG3/r4Pzc2dvTg7N1vumZxZfVHjz//ua9957uPPokf/aRHf/o0zertVMmcTBoDSYphoQBuikAyOl4QpEk/fvK5f/N7n3799Ps+9t63yVmcAUdYfvYtt/71Aw9hCTiZCCYU+gGY+A2yPfaO228kqJbqTaD9T//+T1989Y1SqcHLjx78l5/4MM4nzWmw8apgAXl9uNft9Sm1/+xLOF357iNPPvHCS7RKZ6DPyWOH/9VvfmQYl7LNvn723JPPv3xueSWlNz1t3BP22//FL9G9Jvrzl3/3/UeefGaIBDANcg2Wv73i2JF/9VsfdaPxjYd+iltUS/Vyq9H457/ygasvO+KOrFdOL/7r/+UPfvTY01hSle9HpsSVx4/+m3/+cdx8aaT+h3/7qadeeKk48KH52X/9CXT6fPr8YbAHKeB+mn/5P//Bq6+fLvQIwUEsVDpVBKoIVBGgCJjTO+88wI9NnGUPDnG+xtjexss0D0w1sEoAr9FEpm2H5k1tb0Tb8md3cqhEMHB7ET6U7aZVgAP5U946maHTr9yP9FuKoE/2ay5yCieF7GoiGUHLy6anO3ik0PzByU4Ha3nRXO92vO0tLB5ZX1uVVb9ry+eQaOOfuO5QgzG3WrD5xhdSp0WdSDzjSd0bWNCJzsLphY+ZegYEJXbAvxxg0AsU8vqYruZjp0HqBo+5pjwMBhTZZLOOXykOQyznkymhmWgfDIQ2cgeaqMt3QjnTL21YC+WFScvlbkPgXAX+lcdNR+y7eMrV2FgDT0pqNLBknF4Q3Glvbbdra+u4TQGDh1YL020NOLPEjQsb4nZa073AWMdsKd+5qMTQAISaBVKGlyUb9X5oorFISyiyPtIv6CP0LKVH67WNnt6xoJejnYVseXGQODXVZqq4tZNVwmt9MXGsr6Odk3Pj9VajvTW5tbHdX1un8ZkYnSDgAhA9C6G/1ZpsTLUmVuml2OKdL43fZzzE1fwHNFRxaM9wWPhkQ1z2AUEjFv/RylXiUkVknW9iWA7XmJue1NbSosmIDmxoRCEyWZUZX1xzPXJAWEJ/kZbcpMSOMpLimbKLTM3GP1bRGOlbG2RMzfaQz4AUt/Pj/Cq9fecRB+GOjAE1eKkdeL7IqcuPfegddwVJSiydwYLL3/3UX3z9Oz90RhTAvHEhddWj6Gp0N5+hsBB9Yfp6/fTZP/jzr+JNbr/6gbe7ocOpDV4S/O633IJH9tG+OdhHjG6PAe2qE8c+9p573n/vbVi2WAoMF77RfFxOPnnsyM++7ZY/+fI3v/TNh1fWRry81XXp0Oz0PW++7gvf+P4QF79cPC5vj1127DDWiiXztQnRXILpDlPwVPCK0Buuvuyhx5/FLyaPMWCFrGB6PHHJoVOXh6sDB4Tcp2pBPIMqDWMsyHv2pZtfen3h9CKtud/TT+iedoYeTKIOrJqkttjpoWRn/YC9k1Wyax2GI6+eXsAyVqwCR0iNYbxF8u23XffE868ik515KJKWGL1ogU4pbj118u6brnazv+dW1h/4wU8eevw5mgF378ONh0PGIvWC6iVM+bg19N7brjs0N2P4KHz7h09iMTSWKWO523Unj9Yn1RpTJM+QX/vmQ49jAaU6xfGf+0EnVwMeyMNL5LB175uvf+TpF/7ib7+/tCxLdW0jXG9zy6IWKKMq/3PVkwJ2PLm87e03XXPZpZfMY291yRS0G6/++x88Rq0gRuCIK1uqnIGTwSpmYnzswR8+feNVjx46cPf8zLTRefP1V7znrVhJ+e0z5/BUjGGtdKZaH73/rmsxwJyIPfzT5z7/9e+fXsRa/CL4NLyn222kfj/0jjtOnTyakfo1rXAL6J2rLj3yj3/hXffdcf3//ZcPfOuHj69L+lw1r4gPGg+uRMVBjNK1XtoWu+epk8c//v577rvjxtnpdqmAI+V5SXP23W+5CcnjL/zDQ5/6q6+/9gbS25wGHsybNC9T6MlzTEtJPRBAxN23vArZsUxbsuTtsdW1td/74y9ecnjuXXfdhJnNde36Ky+96drLH/jeMq1fhxnuEbdbiDbg3OXaGX0ZXQlQHEpUav+mU0jt/+2Dj37qC19/HsuR1asJ3aaM3oeyiOg56sv9GtKyzSkg7w1IkccjNP7ZL73/v/+d/4TF0AUQznsRhOAi6/TzvsuqBlQROB8j4B3abQMwA6njoD4c6q2VKVZCCqvTqrUb9K5WXPbiI1kxzb2SSpws5TriHrJw6oPsL8KHppa8XwkhpqO9CX2uXSNQxuVEjpPNOmeEhOq2SFuREQBOjBmjaUXewkVK/dbbnZkOnrszf7A12aFA2cvZPOLwkPB+b22FVv2eW1xYXz6HxJqHY6yLIuyyX2UioHylxA/11QTutMJNau5zpTJbo5nxKzS+s05Nh1lfMnBYkSIPBDx2eLIzMzmFNRBYVNpnH3GaSh/6xt5EWyw2pT2LCHipKe1hOiiMq0/FpftA0v5HrDKJ+UbIqDniHr5Dt+ohsVDd2FTSZfo03UCIOsDuReAUh+0x3DuK1cB4FHSzVa+3Whg+rck2/ve6WCW8jkfc43nRyNJv4n6FhPdJR5yuiDDTm5TgDKdt4VJxUhkcFQugSlniCeGREKxFW8oGpv7Bbo/Vrng4xUQd8zb2nWyVotxUGGGEu1RcPE4t6oKVoxtHMG67uC+pMz6NNzFMUju3+mtuxluLUz4cd8NsYkJsjG/PtOqrXVkErL2B77qIX/kY5GqtK5cFBXzVQtmwvNFTLGWQyPhLHJOAgP4BhwTIIrqHcqTaT5AtgranuSQOrshoopaXLadOUYxzXVlygP40Hm3pJEZk4BJduJWPiGllNpGJ78tLU7X2oFvti9IPTAyKWulFIsDH2ZDuziEQOHxg7oM/c9dNp04Ecngg53/63Ff/7sEfqjsmuNuSgBj0ULR0urCG3YH3A7UzkMBrb5z5o8//3WVH5t9x55tcQ3iz3e03XH3q8kufeO4FO35diWiZdjg7cFHCY37vv/uWX/vAfcmGRAGiREoDT7ZuwpX9Ix+87Yar/vAvv/74cy9GJdOIOg7qyJo4wFq9RqN24tih66+47IePP2OpJUswR7sP/dH/dqt5yzUnT508VhKGxSmc5u5CVKjXnBizjPM12W7ivgE8lfS5l7FEbLCPjpbWxtIKXLpFuk4TLrxt2ORohHH99+23X4dne37xmw/jCU17FwV/N3P8oMHCo4NHicPYZ0Uc4fBk1L/59iN4RDMWx4t39doEnop53+03vPDqmdfOpK9jzm8LTaVXHj/8jjvxYMvDrvh3f/z0V7/zKB5arn/auMwdKuuh5XSJniSZNT52/ZXHsQ5ScgziBFbHPvLUc1jji3Xn33/s2bfefKqjXwMMATxL+eSlh189u2ieRg5AmfDBpTnCsVWwVdrLUBzJuY/cdyceOIEHAtPzihg+FBq4Ln6W9zbNIN4ze++brzuUeP4z5HEX0TWXH8UT8rGMb4D4xC3a00qHrxol+6JDN0UIpDONFAp4pA4Sh3jr81tuusbk0tAjH77vzkeffAGPXsAP+1IpSRccZXT6O+688fYbr5hq2WePL692/+qBHzz76uvobg5UdvfQwMHh5uMfePv777kF7/oNTBSvol03XXP5f/ebH/rDz//9X379e0jVI0rlB3M0siDK/+LukCSa9jN33PAvPv4BnBJkrPrNBZ2dnvzoO+/C8PtfP/X5J55/Bb8d9QxAv05y1QcTSO7RDsUpBujkmfGOghkGNKwrfSFTY7bHcG/Kf/zc127Ga4EvORCMz2suP/athx5TbzBneDtzMRI827mYKF+H3khq/yPvvOvON131b//zF77xgx/jKg7/GMX52U516MBeS2fv/6gO3MBsxTtvuuaj73zLf/7C343onshsa/uFe5F3+n7phsqPKgIXaAQSCWA58AWHv6BKsdAkvY3GB+cG9PznTgPHLU5QWb2o/N4R+YJzSfPOSZQqopl4Awe+6ao7Li5kXKMytnDuqMQMnikYoUgBgSe5QrJGTnqLdUwRNQfEKYpRV05whMJd6euKQviN1k1M4A1xzU6HHvg8Nz/ZmcaLUin7q89R6fwZ2TU8TndtfXV5YWlhYW1xkZ/JLBdojA8yfqCmLpySQwmPQweo7gixLRDwrlZZ/rvVx08wfmNr8KIeC+SoO0XLTy8Z13VbXVdiagYfHtbr03OzBw5dQs/HxvUQSvFuY0UeIoO/LTyDGDsV3kS7Qc+vFiL9LJEX00IewqjSh0YjyoDgUIhTid8tbNqxH1yDMJyY26Dl8QuqFevQFDCXPKA/LoQuayiEEs3c3O6vb25O9Pp4HPT2ZBu7PBZg1RsdHlQTMmQhpxqigq2hsNVoTPIqjlCB4hCqIXoqVCoDCCEvrIdGRl/3LOpKMuAphnnP0Dytrevlt4IQtw5eyIgbjFPLOyMagoYRi4tcq9212sTUzHSz3cZNIxieeENwApeGN7K//X6/sYHF7hO4c2ulT28NxhQdNgDKTOILaNpvUFTRFbdUUuKaSAmDvmVtDbA0EiRRBEt/nCJ5iZcs8BGWfhOTC8QmIBKXqtC1Om+Z61FMResKQWoK1sj4BbKoPlFB4sNRR4ykBVnpoaakhOAztVCZLQcwMFlGv5ItEgE9uXuyhigFpJpuufbK97/9Nk9obAxLD//ky9/63Ne+heNywFLDl8cEWAZQiVG30umidC+tEdP7Ht4/+5mvfBPp3plO22DioITrlXe96ZqfPvvChN5FDDdaCCxiWGNN2y+/72d+40P3B4uYRR2nHWeXVl89s4AHOyPhsdbr4RorVI4cnMXz8VAItJAGxjNd8dhYvIn2f///8LTIn9BskPcJvMoTH4OVSw7O4j1/D//0mSL4ASAfuMPd9tiRg1eduMR9dpynxRML/EyaSz0N8PS9ChZyoeOuPH7k2ZdfLxAeT1eGkDLqcI4dPnDdFcdxT4BDc4rkP50y8kJEbozDDIs0S8sDIELOoHU2r8zSJt5qmfHRNogoCVsqbvr44QPvfsvNeDwvXu5IRw/6xA0yS7tFIwL7HFmnEraKw1JMoS8iKg8FFIlMLiRc9dUVyr7doA3SHsdDPFQTDyrHM97fd++tZpEulsjjodY/fZZS7PjNIeIc5oS+A6VDZ0nY1+558yksvHPXNT75wmt/8+0fPYMbI2hng3Byh7MIxKbOGPITmX40SXU3fpndddM1Rw/NYuYxxn7y9IvIguMVMqDgiaO46QeTkmnL9FQbj+398VMvnqVVTSoy1CbdILdsMP2C9oKoOa08eujAh++746XXzr70+lm2YGaq7E5haD3Q5YAVWIITRMGXPUXMxyRc3WzaWxzQ/5+99wDyKznvxCZnzAyAyTPIOQO7C2zAciO5JLUSKYpHUSfd6aQrXfnqZNfVVdnlVOVyucr2VZ1sny25fC6d7TudpJNlnRiX5JK73ICN2EXOcTDADIDBBEzOmPHv932dXvpPwO6KFOfNf97r/nJ/3a9f+F53b2lrxgK0mGVJacI9nIYY8JnLHQgA6+lHTdZjIeUC0uZMVTlxetrjX+CkawE0MDsugQ3UwO50933/reOIsG5orXMtBGPlX37mwM3bvZ09/YZO3OZ24JZ0QrABGLeta274pcP7Mb1/SPfmR+cxw+3YuCzUas0ICaLpfJnP/+kXn9hdHazprjSYebt3YKj3/hCW9sZ44tGxyRWVpdWVFa2Nq/HNGaYDcU3aycQl/h9+9XkY/8oRDjonXG1wZSMoLJz2rUKllKk2AxjCc7U30pF8Nu/5x3f/k298obVxVTL6i8H5vYPDd/sGME/72ATmNM5DlBfxb3xyggslKijGgpDh7k1r/tnf/+V/8W++e6OrG69fWA5oMdf9sESKeai9b0D0lZTINimLCt1hdLHUaBr8V4gwxgxJ4SNFDHz2yg3MtfAVrhnhp8yFE3asb+VSr+OTcuZJqekCCPCnIgE+F1NPVWJjTKG0iZgXbVFxNsbtS0pdPATFwb3of/kPv/YHf1L49rGzk7Lst9WJ8gTWIGntNabY7OLVLpHDGKbNILRtifJ+bthwd/Hbv/LcsfNXL1y/xU/abVVEKujnpjSLM1QrXdpa7nNqcWKXqZc9sOyBX3APRAPAerFDT2OuesHFL/CTh/pUgA6SGBJXWlxQU1kCQkSp0JHNxxEwfzZJcwnXg8nMqzmgk6TN42qEuCb2jM/Ns1oJPKG8ei9hRcyrWyrH3d0tgC0kkbRqVrBF2qNT7yrKYVxCLbBXYMeRTMBKCf0WV1RU1dQi9FtaXoGgJgKvcvfHVibXb0yZi2G/46PDgyMD9zHqF+EHTjzqTFBHybtOfiStiIXeDVqzVRpyCsDwX1RVYQHCoqwsVFfSfkICcJBMp41CrULDNg+3Q2uCrsHHEwUYalpcUoIAsJGNU0g33uHjedz8y7s7gjgQGBunJEaxGCCexXzEulotp7lmrFijwgwJcxSxRIV5Qxm8IY7fWTrjoiXUXIikmDSadFjISQpa8Ylsn4icNCHqGGm9s5gml26eeYAJhPF5Az4mwFcNaNAITBVinujpEvUwXKyS6Ji4zHh+oaVfKl9c/lLlxPni+bieTz4f1xjPL07jIhptmuAFKfdEPpUm7BODhWpkOoqp8Un0vRiwXlJeyo9J0E9MajfrSeEJoB5g7lSse12Bd7noI/N07XU5t+3Lb3uegx7MurdJKQFBXmy8UBBjvuGxrI6JCfOWHTjJ6cGcPXwGcoINBQ3AQ6GwGWPUKm9aIIp24fIhmlWWJI0Wf8CVhoqsDi+L5Pg3r3/I4Gk8e5AiQ5CVJA1UNoPigUCInkecFyUmGn4PFTFBdjn5aXpA6sy0dakKuTXJn1tZU/XU/h14GRoqx7dml9pvf+v196ZklgjSRxpHpEWEjCDT5i2VqyePKuX5AGkXr3e+c+LCl58+EHJhSbCDuzd9+82jExOYcpmWhtgwjZsH4oMNuYbVNX//5ee//vknYnFcXNTuD41/fP7qD94+fqmjC3EFxuZk0zYNY8vLSzH4+OCuTc8/thuv2EIJuAXcsaHlP/67X0YH89oHp8xpEKi2SRgV8Y6Fz3/Ea9xHtm945cix+4uZ6ZdOSNsA3bqmacfGNgxwTMN7WIYAT7DAVGvDKqg7cbF9aEznO10IX5b57IkxdnnHBqwQOY/9C1GTg0a+MGSl8W8BG90dumxBTAuQm5MEzQ/Liz69fxsWYR0YHuW5lNkEM12aU4Mg7SVmfspFUqAPOXv1Fu42sQz2Qlgx7hCnG8aUO+L7w6OQgHmwF9gernfdMxO6OhGSgNsQ43zt6Ll1LXX7tq5zyMbVNc8+tqPjTu/Z651apajkhI/DUzvuZ9Dv2Njy9IFtq4L+E6Np3z156eTlG7hFYftC63mIuZKdtbkTYfNUSmurHrlHeXduaEF40olC2OzYxetoXUCj4O2d3Vdu3t26rgmzKSgNxkoe2Lr+1fdP9w+NyE2IafpCn5J2km1CtduccYfLxhNQ9+Teraev3PzxB2dGxjj9vq0ROjFOHeRjagJMIqnXPYB525RLZshJJpDbDc+kh/ZuxlLKLlCKwaxlmG9JJjdGKbCe6Jsfn+8bGtV+Y6lNQGo10Gv1px8XryXqtvz8D05fwarPdSurairN+FqU5eDOzSf3d7z63qnhUVkQQeyhrvkdaNyG+/lf+dwBzNis/lHr0dJeeedE38BCp7jHDNJff/FxzHIci/4i3PveictvHjt37tqtweFxfFquFw82aPhvLg93ONs3tD7/2M5nD+6orYosDIHL/W/+0tM9/cPvnryAKdCNW20BmfX3uRQV3Esb2vkPvuHwmcDRh64/sH0DlkaORX/x2Qo6tFfePoZx+e23uvGmhAUSfhVZXFS4prH+kR0b/s7nH1/fWo83RU64hj9/79de+Bf/9rtYk9iZIGcTq85RfuIJVy6bUJOTevS9kDcNFHHSeN4IYQGkbq3QOYxQf+nJvWEAGCjMp40JRShWTiPjeyhEnQZPL8CG9WJl5jrSaHbt/KPwDDtVBNrnWx+fw3xVQeUnhM/llZcVY5q2ldWV+CQRpwli/LG4Pnjwac7vf/NLPf2DZ6/eQHtwUoyrWaumZtVCRxBL4KR789j5BzM5TbI8OQqnysYmJofQV4uTLZM/Gts8IFnN9KGSeV28EH+KrTQ0B2lnQAxODBtbzBJjbYKYAHzC+Ltf+/x/+7//+9Exvwa8lk7oF93YVAtbmWyaTWtydJ53oKHzB6za+723jxcX8s2/h6anQjHpxKPjk30DQyFdKAmWLkBLyLGcXvbAsgeWPZDugXkeINENpfdS6BCzEIEiPF7WVGC21AIEQXBnn7MXDdg+m6TpYrN62nQjAqYEI25asMnNogbm0kXQo+AV9oxLewajgOWmKKE7yZFGEmg2+pN8psJD9iCdkJDSPkiuEz4XY9Rv1Yqa8urq8orK4rJyhFzZEuQFEVyFi9nM1NTMJEK/wyOD98eHhxB1QEiNVzjfuuyjvtxT8WqdYnMqyBKqKJtTfjw4cfgmZupmPFQn8/EqRZxlkBuVVAVZwKSTsigJt3pMwlqBgqIx8dlDHOUlsJHl49MKf2oaFt59UBhPNbgWYRy8joO7EenVOC8HCU/zjz96fgaR92kOgOY80vpHTg0jy30RlDvNotJlndnUKDRAOaxjSk+EzHonmE63FGhE9lIE+BrJ4Faf6I0jPIiR2HBqSdlMSWlZUQmfFRGzRxXNMuA+xei7GZMNjD4ePZyJD8fNMs0vIZ0iBZoCoobPanto9eio0Nks+bU49KebAKieDOnoFP8smDCFNwZKFcXOdmaSb5ryEQAuLS9FUHhyZozvUuMblwFmALispLQwH79pzo+gZCgUnyDlpAUbY1JaTiJAohknUCFJDULmGYXPZJ1sepYwhaufnbEG4S8HoW4grcog6YwSgUQEnZsg04gdFxNpBHKtsuoi1KnkhoJO9CZDhjgSnUeWJBIIb9LLvjqi6pdzn44H7LlA6awTc2roUatprrioePPa1mce2REz4W7v/b/6yfudd3uFVWrU13i8eZk8Dmh6eLfmGoeysN6pXlTM9fQPvP7hqc89sjMSai0qaFy9ckNzw/nrHfHWLmzkt/ZbAI8QWldb/Y0vHE5Gf0fHJ7AQ4598961z1zrkrp70YiMTusHUsfHJ05fbMYjkO2989KXD+yBqQ2u9xXM1Vgwc/J2vPIdFFd45cT7GnmGU454/gUePFsRQN7S9C+FZJQ/EiA/UkwHUJldVr9iyvqW+NjLKyiI/lSNGPCBqjiIMXR+d4wtL2JZwUkSzVmM6DQYzbV3b3LAKi999JhtsEUPC+/ioYhYnl8VR6iXlcsUUEKt7/uDO6533XvvwDM2AvdjhXttqIsym/6aPxhA2UbotD68I3z5+ET9rmLXUHg0d0FKeDa0Nv/erz4UB4K7u+3/1+tEPT18JTw05S5wDrGx/DGk9FKnz1zvfPnahrXGVWwEXZx+mOH5y791b9/owzE6ptboDTm9uADTJxlU1zz6yY/v61hB16nIHgn+MmLqKogw5d2n4As7zUNwS02q2lkbaTt7c1nUtmKc6XDb1Xv/gxfbbCLUq3czc3PHz1w/v3+ICwFCO4BlWOL7XNzCKkZpof65QCz3ZF1cAXBe+/sIhDKE+c/Wm9tviOAjJVRGL06GypFKkQsCd2aKEKq56TVPdro1tleVmNmNEf7/39rH929a7BW4xOHj3prbO7j4unyybk7OAJiAljutcUBEXpiXRxq1sPHB/78jxDW2Nj+3a4NoJauRrzx+8fPPO2Su33JUUHN7K0HmJHglkWEn64J7NK4IvD+Cx77517HrnXTx2WuW5jrAY67y+cGhnbObnI8cv/bvvv32+vROPt3Ji4Spk5JjJH/LzBoZG3j916f2TF7/z1pq/+6WnsQZ2ZZmfhhqfvn3l+ceu3+5GkDXF5SxOCjiXrdk47/dA5IrKim9+6SksJh0G/NAd/fG3fvrDd06MjKL9kBpDNsTlNEeLiK+627u68fvhuycQ/vzmFw+vb6lzYWDEgJ/au+2LT+776zc+msDaOnbTWkMf5Hsni1rSMSgJ7TNZm7DHNNHyjs15l4wRWSl5I8XqQJY+wQ9TF7g56g2RLKNbu6IS4VKMHpC3U7g0KCuvokEMmO/6KMrIdQLmSdB0Kp+H7Pz1LkzHLTMomIqzDAGnSyISXF6GGPC+bRu+8dITuLlyFapcWMXgt15+5r//4+6BxEKzWrMkc9KsptjxzNVb/9ufvnJ/2H17IQzY2XPH0VtJ9ugQLiG3UJEXfQ71cAnXdD7Z66VrcAu3zlmyQJbnHtv15Wce/c5r7+u8GjEulZZ5mxKj/uSygyPjf/jn38PcCOYstadqUkNKZSdAYr9AE21GBaKYn30Zk2VZhix7YNkDP+8e8J+2ZZYk3g0hb672mSyCQDeIj2JWyvBfjjbM7hZzy/nksehd2cGawwLleyYykD+2oVMuKOT8zybellJedaXwAptCEBMZZK1CY0aASUta6hhOwZkinHlKYfdhA7CwNAeoR+cQTcGymhUI/NY31je3rWpqrl65uqS8ArfF8pDDGBgKjwDk5NjIYO+9e523+m53DvX1ToyMIhjL2KZqBBUbGm4fkedNJH22qGoTPsMDVygzZBUUFCEWXVSISCeCoOGjlzjM0lElAGH5Yw6NZFUbQGTiXu2VTOou0EMex6/EuMxzjWLcptIj3Pgcxns2/MjqNpxa/HHDHlpBywh3CQKRpaVlFeUIw1dXr6hdVVtXt6q+YWV90+qmprqW1vrWtqa2tY1r19a3ra1rblld3wiCqtqVlSsQsK8oKysHd1FxSWERhgGyYbNQbmNS7AA0ZnlqYQ3Q8Yh3xEfEeHAu5nlwDy/ESUBivs3UB4uAIexT01MYXc1pijigfOYBPllnmA1uLK8o5RfsxTI1AFv+AmRn6HbmZeDnB88vIZ3CQZEwmwNZwGd0NHqXql75ZI9TRQeQ6PcUi7YfQuzGcyO+RSwM1AZ0KiFCGGAXlZxXFLXMTU9OT42NI7hbUFxQWlFeXFkmrz+imvA9PgcBzzyYmi4pyi8vLiribP38yaZnuzvn+bxvEDZhKcO+0+JACjRynsiw86DAKK2Hk03+CeJGciPH8/iU0OguCYzKstbE6GzWHr12MAAocMsbqAuSjjWABckEM+gTMNLby2LA65PSOftskJpHfUC5nFyIB+SyZwhZT7Y7lyMA/CFdXVWB0Sera1eEMscnp85cvnnk+Fm5YNsLqFxBkLFASepOW4JIJYCSsQsPqo5gDNG71nm34/a9UCPSGPDf1shFNEEj5hm8MVSgBmQP0IDBQJ9/cv9v/dIzYTgZYyOu3ur+w3//w//mj/789OXr/HIuuoXyVRj62L6Bwb/40Tv/+b/8kx+8cxKvp60SxoCxMuLvfvX5betaomJYnLTNmCzll3eLGXTg5SzQK1cgcoC7vSxxqgIyhCCiUs8a6kMB5uawyumWtc2hK9LMyw1T46mKErm5r1lSGBkgX9+EiaB5x4cOOc1IsBmPUFpcSKBoDpMeP7T9cfnz5GmZNtUkIa1NGpykWzyEjjAb78X4y9owxvr5g7u2rGnyNGKV2uaBWfwPDTfuiTqCejkejqbYjb4KqeTOM+zXkTYwXgfcz1oImbHiYPQwnoAUL5x8ZBBOyxMcVTTxGRu6tXdOXXn35BV8zOFIVlSUYoz1/q3rHGThCZy8GH73xN4tblpp8N643fP6h2evdd1NvxCK42LFVI3Zhi/EorhIqQjUDHjNHk9oKGldtKv/+Pz12z39nAiMT2asv4uYBbpnMBxehjGgmKUAs+k6UWpQWNeJqnN6k8ZLe5Fmn8QpBB+UYJHX+pUroiqyyB8KLh6ChLgDVaj6L65gLm/LWjya1qL3U1TH7d5X3z+FLwxc04LTcGGtrSpPyk2X6XVopfn80lLZWrQ9ZEjNn7vZde8H75yILYyNGvnCE3vraquSxaEgOfFhN38JwStrKn/txUPrmrG0rX+Pd/TsNQRlh0b1y4MkU1xKW1MdYpyx1vvj907/yz975fSVDny+DBHSsKQmmRGzrDnsNfLzz13t/IN/890fHDmBlblDBXu3rMVs8CuqMtYdCEk/hfThA9se2bHehduhAdHf//H/+va35+DjGQAAQABJREFUXz86PDoWvd3ScsWNwEds33r9o3/+f3+7o6sHZ7JDIwb8lWcPNq3GOPV47yKV5Skdy2ITgTawGoG2hTEb2hMRLrWV2IGcfdFit9GxCUxjkNTlPtEQOyFVTaRhTMofUfxFixKx9aEypUV8K8UWaC5d0Jr9y5sbHx+/2H7rL159+7f/6z/8g3/7vd6BYZppN9TpoV2bH9u1BUsfWdiij3xWls/InFXSPrKtEoND4lha8FJpgampZlGRKEvFpgI/wZoxorw7UxUuBJirDLgf+L2vfWF9W1PyvHOixVkpdlh4CsrxPkQC4nmKcdJ5afRL3ofnaZY9xttZ6GX4sgd+cTyQq8P4LLzwN63/ocrobxxTLx6pZWMPmooQS1z/iiszxv5WlRXhGoZA20OZ+Qky0z78OzMzRYdFDKjlWp7GhOdSXPzBpQuuppGIGL1HSUNnwuQ+ZWF82UVTjC1JlE7LqrgoBjaFYE1nGIo4CibDRbixtr5hdUsbYoo1dfUM/cpXghAENRCAmOvk2OjQ/d7e2139dzoHerrHhocQM+M4PBpiDQC5xhYEYKHUreZmWCGEjBx7SU4kgagnrNpahLHv+ZgeWV9iWpFOiXo8px7K8psUDVXETW/3PC6ZCvTQNjBHVAkapefI3QeIlE9PTWKSbIzXxQ8GY0OsUW8UpJAiQIVYUdJa9J6HhBId5mcY+XlYj7kYUeGKFdXVtStr6+pXNzY3NLWsbm6tR0i4eU1jyxoEhhESrkcNNrSsrKuvWbm6ckVteXmliQcXFqGe+RaG0TOrgsdkOUOIK7O5SwdO+OmAh9287KVKikmIVEdOmXCDEPNYkI9amZ6cHMeD4/g4xv/iRZuEgSvLK8tKGAbmhwc8HbTacgqOIBfNEOFmZh4JisY+vjk+xRnTPeHCPRWXvLi82kG9mlocN6kjfBSE9qevyxZXhogcigk2xYlwgcbzAalp9542xC0pvQBROGFnJqcmRycxGriwtLi8sqKorJTncriJHH4aMz2DhdgqSgtKi9DGozTxrPILjSOMJlzOqArz0Mgwh3GJPYQ2eSbli5aVOXMahmK1W1VEIEwVcS/dvGCUTYwIKDOTuDAJh4oSPcxHlZMbEBq3wI2k+I+YEZGpZZmvq6U2pUmUfYGGLJOleiB2kXNZcTbbAluUVOLKFVVP7N2Gt9WhHKz++9axcwNDOj4AxGYLaCjE/qR9WhocSaZZ0EjCaiQL8IPDo8c57+iY+w2NTODqX1tdIcwUKMJ9IlAt4ilnFmtO7N6y7tdfOhyGPBG6wJi2/+VPv/9nr7w5Hgx8CSVAPl+D2E11gQB3LBfbO//nf/ftb/30Q0yO6ljwon/b+uZvvHR4ZXVkomxHYBMqUc3OPKGwnt9Pj57DUsTKhVGee7euW9fEYceG34rTI62lR9Q3ERyhggYUl+ydm9rCwYgISBy/eGPCzWxpWFPkGM2ZeiJKIfa9U1dQdwrFIMjdm9dickJHRGNN87AwAdmMP4blwv0GJn/G2pkODUVHz10Lg/FSXuB5dGTRhJCoHzmxDBQvaISZ8QDtdBKigiM5aodsyI+AfcbIUWkCdmKl0J5ynhTa3sFdGzBTcXXWushxAaoaUPWCy8bo0t8ACrVhdPwxzgVk4Re5a/H+McWX0w44WCc3NZJSUwWalA1SbGqLPZgGoCjDIiojloNLfoYAh1t3+3760VnMPetBeXmYPfW5x3aub2kIgUE6cmVzcGjCVAHPPrK9rWGVA+JcQ/D32MV2fK8LgqQBpKTVxH1ym6gKxKlq0aEo7jevaUTYEqtlOEKcWQieIdokDZkGIwbc1d177votjN52ZEg8umPDGqxOymC8EahYzSCtugIWhwlg5M0+YwJCXI9ePLTn0M7NleUlqYIC2liSPg/WXkxiYxBmyYP2alqLqRnpdLmLMhCCqXcxijRcNOGj81d7+oZOXb6JaTYdPQaXr21pwIo7KEJCCn1BsMdoRvIxapEIUic5TIgILyWKEi10efBLF0MXyIbbuvx3Tlx898RFRGedNNTIc4/u3L99Q3lpcZYARxwm0KJeemLvzk2tOhmvojrv9mO5h+6+Ic2KcUY9Dloh4R4l2LmxFQsAu4g7GI+fb//TV45grWjrw5gYSoqBIHNgZPRf/eWP3z15eUJWUVUDULrHd2/FaFFpOosqX5zYKPVtKU6gGt0es/5++fC+ijK/eC1Qf/L9I++fuiyrbzjCWFG8uzSFtxwnL7b/T3/6SnffYNhU4LSDuzZjdn3rWCeQCQFGIIvKxNhhotvUBkMQwB0BEsBys0fNmT17owwU1cSxI+MY5DxNjmDD0gNY9wrPFgo3WCEx5ulJryyER9gNWFSFLhV4+kVBWZL7sIxpSpIcHFQyNj6Om1h84oAuOqTA7NDPPboL78di5Q1pFpLWkrn9vIY5yjARd5oraoa4DDfPY69qnIcoJ/rhJUTFpzSVkGB1bdXvfPUFLIqXaDkhVUrTj6A//QyKEdbmPOmsOrVsSXuBSQKXIcseWPZAzAOLu6LEmP+2Z9OmgM7lsExcElEi0d/ignzOgZrrY/fPyseLv0L6LnZeXgTWEP/BFMcYAojSpvbOqcBY6WN+zH2Vi/B6Y3OAcxLlREaExjN4x4Qxp2XliBJWVayoqaqtRdyXRHIBQ5nwg3QuTstxvyOjAwNjQwMTY+MIcAKn82bbO57ABWJRhllxGyy7wJUnjRO1hKcdDGlFNBRT/WAfZdCX74ENST0pEFO1uaorNEbT6peINCJUN+5Tp6cnB/r7JsZH6VwEDmk23hXw3yQwzpdw/CN2zvC5iUsY83mQEIDJiyrbNu2RwPx8zlqM8cLUbmTMzmAOY87I/QCBoMkpriSMca6TCEUjAcgkJz5G9fF1E/5oeSDSiRGdcn8jFJolOQz7BMIT6kkjdamHhxACVjiXxUEt4JXEA8yuPY3o71R+QXHJTDGelLAeMNbLKSovKC6GQxHLhyPhN7yxET6y59oewjYvNpeQFJyaFEMQGAN5BZ9myiv1qUXrS7ACIG9KBTFPHVhtCSEWgWMKLgWkDJmIQN7Ck4uShnmfcbJOThSMMbBRVFpSVlnOnnACY3dEkErjpyIFOL8LZufKi/MriosmcPJzZSPrKRzN9zwwVIHODuLE/Bg8KBLwjioApyUjdEaHwGToMQEGKMzaETvFmkgTa2AR6YBZBmegJtIkhKxKFUJCjnQ4eSLSUTGm742AQ0m0kO9dHGUMmZJFnalTUnDLoEV4ILi6kctnmZJaQbWxNc6VlZRsWtu0VkKPBMmGr7AwH+qJC9c8oxBHmq9rf2QRcThKm0TL4MflPBAu05dLM5AkZMICTMr3r/7qx3/+wyN6miofrs+4HFGebMptc/5o4KKzbmXNy88cRGDDo/PyMKDtX//1a299dEpaM4scYl1aVBuUkSmNGqB7fYN/8r03cJ/y61847ELjeEWLdYJfOLTnr157P02iFBa7FFw8AImwNEKbuCVqquNcx7jNQwxp37Z1N+50Kzfuy72YdJngM/VjKecwN+D29W1YQ07LiLFoVzru4AUohje5Ugub5QyhibSrfSlYBI3AwIXrnYhH1q7gzTPs39TWuLa5Hs3GFV9cCqS4nyLim/G5B881rKrFon0uzEn7JVCH6Wc9labYoPAfBy8mn8lsLU8Ko0ayweOZ3OQiEpQ45KIUKpWTUNnV048StjaspLi8vKqK8qcP7LjUcfft4xdyqwaxVJw8HdiWITIiOyj0OmGDmJrL2Ah3asa1F8EaWVq8QBf9EpZACLIV00whsdYagVYHjgaiPUns9Evjyjt7tfOt4xda61e6VXsxEfTjuzdfv9Xd3TeAUcKpxXNAkUmlKyrLMHP+ge3rHAoJTK35xkdne+8Pqz1qAD+kDE5o0kOATuoSMi81bYtp+MVl6je/R5eyexPWdl0RjsLEBMU4kUfGMSek8tIspI6dv47pdsO5dldUlu/ZshaTAN8fGpPPpHm1VmLo0NstmGFrQfXGyhMCwWtUOiJ8tdPSuNIt74pver763KNXbt291HFbHn79PZ1jiSZC+VGM5OglbX0sorU0JJSWKUjxaNxAsBtPb93QsrG1EUPxlLt/cPRiexdCUJdl8DQ+iEGXCBS+7Nm9ec2Fa52YDJy8aSWAEmkI4o6kRlUgeo3u0GCDVV8KPk0FqbIkGwlx2XiM/s4bH6M3xhrkWhYQrqqp/NoLhzBPMiqFFmXpUplmP4fJM559bOfKFX7lXXxZ9Z23Prp04zae2LUJRTjo5hgAU/ThI5iN7tKmaCxieru3H+9qoqUjc1KCuTDxcpSPSbn/8tX3cLncvbnNlW5jWwPuhbp7B2QMN4VIE2FziG62EQCasNNTSluyWScNgIhAIDataVjTWIebAUucd72z+42jZxCf1tbq4JIAR0bhpIf54PTlV44c/80vH66wc1yjlT6+a/Or755Ezyac8WaY0TCjaheT8w5CCmVg6eO3QACxJECSQqWHB3vbYGBWvXOewllkSeXL6hMOa8mpRT4CwxF6UKE4sNmCSVipm3d9hjOmLRAjtlpDCU80fvBSR0gT4XcZoTK5QGGQBNLn8vO++8aH+DDu1158vLzUfyVwcPfmuprqkZHo0kipvRoVennWDkDjQJLFYQ5ARKLQFCZiFEsSgnSDMMVZmPNzSCW05mtMw0h6y2NA5gCBqTZEqVJyycKGRLAeBBGaoFWElDnSGKiNeQXwHSfecoIMg4Bfemr/B6dwPh7Fu0nD6F2QQ9KnjoqUdFHaok0kWReUnGiEACYpF6V2mXjZA8se+EX2gA0Ap18XMq4XAXGQpBvNZU4eZSpKCldVlWCSODxmGPjflKf1khyzNacx3mCmfC6LCR0xhveBEPfN9mtHq0+1Z3FmwBfDlGFeFBzNOa0wEpgMZAbYMUsiH3Mpl0rot7K6prK6uri0AuHJ8FoIMXj7OTMxMTY6Mj40ODI4ODE6Ig+fvPexBiDhPGY0LEg/aQNCJ8/I8AcSIU6P0b+Y0Lig4MHUVBCqBxL3r9YAz7TQVGBBgkVkE+qIUvQ4nGGHhZMT2DDjGW8QGV3E+FFGfBm9ZkKzTBLOaa1ZLAaHZe1g+SCBZSUEBHKvkKLY6LMNzt2K4EVtSWFJXgluji0XhrciBoxpZMcnsSEGjEVFAcBUsVgyFMOTGQ+2ckSsKZRxAO9cKUxKZNQu8RD31hLFaI3Y4i1RCGzB3RkD8UWFDI1PT/M16tzs5PjE1ERecWnpA7ztRiQYceCKIsyOztWXEU2Dv2Zm0F9kav1EyphLyGJwuWgzS/BQCK/Rp5YiMJtbplqcZYNM3FvHFWXWUrp0hcbbVTptXNVC84uWZhjYNB/MTo1N4lOYiqoqjFDHY+LY7CgWBOb56YzGlYwzDszgg+jy0oKiyfzIG9y49njelkLOeeteyI7QRfOWyrJmHE0fYnlVoLx7kP7blCBfx3anyoAi7aWQoBgRITDkpLcLrBRQIMbqRUlAZdgpx/jO4QOeuNQ0GogQiTE2ycbp6SkQi/Vp9HEYahrmBYWKEyzn5/OAPIGnERm/BgcuNla6aU0T3lOHDBj7dfZqx42ubrY4WxeoyOhmUMG5gKojiTQObXGE4Cxm/Qs/W57ccuMCfH9wcGCQA4C0TxMCEEV6OLIGCijcGSRRscP7dzx/cDe12q27f/DPf/DO60dPWgCOSVMB5Ft3GitnBvNseWyuNAIx4P6Bv/jhuw21NS89tQ9YbLhNQUDuy08/cvLSjWu37ihQ9ywypYGPm+ojQKC6Y85uKBQW3Tx+4fqjOzbq2GXEop7ct/XV905OBsOSLHnKMfCDFENOMkygjVVUEc1SBkxFizAz6jeFPwskwnANMSUxR0ClNJarsCD/VndfbXUlQu86oBCJHRtbT1/qmMStwnyb9bzSWfvn8tY0rsb8z26E4q27vefbu9Y2rp5PXg58UJQ4Fa2wxYzjEnlbw3EEZQR1EUen5ecnx9lx4uKN4ZHxLx7ev8qG8xGfePHQLri9vVO/Eght97UTnB9pyhcBk3pRem3dCV6C8byU2ru7UvJ8smcgJVhTzVEO2ElpcMFPKCGAX3nZfkA7irAJKUZO3kC+CLJMkjG7fPRv7524vKG5/sXHd7upmzFT6BP7tiDE/uHZK/oCN9Y6XIFUDLJ7Nq09vH8rYvNOOgYjvn707IUbXVpiZ7NaKwHToNZsqR370hIxw6x5PKpebRIrV1Q8vmdLLIR27ML1PswvmnjtgXAmyoLFkl14DE8GB7Zt+MmHZ/sHR9gXsrdkn5m2ZVhka1ztSTIiKo/1ieFSt/ww+q5f/tyBvsEhmY7YiBWloWInNykyA0IObS8pJRBkktEXCm+JDu7ciG93XCj94o3b17vuYWmDjjs9iAFvW9+kRaDTtq7/yfunGAAWnfHrmejJ0Ki4LG8JNrlTM13LSxLEIb5cinE9HUr0vTc/xpz8GELqmDA9wwtP7Eaow4S0gTCnf1gjgBqxGPX75acPbF6Dq5KfYuTo2atvfXxx0EwgYaqPkigjJgcQbvWrqjFVCV4RaBb7O72DlxB0x/rK6r5IH2VketGQywyFK+HZa7fOX7+FTtV9b4S7oPXNdSdKS2RksFCqZNu/aS6U6YyJJtJJTEXahWhUGhgRh64oL7FKKOnDM9f6h0bNeydzEnsNIj2uQh4mCITdr3945oWDuzGrgZt+Fmt4Y34ORKdUJuom1kAI8RqiKSDi2qIENhe2JG1FKLKUOr1Xl0ZCCoo3KoyTrMj4USqRQCHXPohZwMtKS2oqK2zXTSA2vOuZnpmS6KIQ2ftPFJ+dnpbZukMbhjLOvzelFUP8LpMP5IbDkGipTbEJQzJSBzZDkrlv//TDJ/Zs3dDW4OoUV661zQ2dd3umgkkrIyoC2UZn9AB8QC/U2InaqCusJRF6L8s1XVeRsdZlKxdHarH/XkIsZeSY64vXrmSwOS4/xp/IBsVM4LIAtFV8gn38KkF5YmSEGVMH4er/T3/zZf0sEjjU0e9+7YVTl9s7bncbG0TsYu23aiCDm8nao8m6apA8yRyl5cdRBHhOplLJAhaTVCZq8TXijUHDsV4SYLyOAHQESdnLkGUPLHtg2QM5PGADwDlIYijbTcnR9l56+VFKdFhy31NaXFiJaW34ttl+pxMT9Rlk03rh3GpjvXhuYoflAGBMi6srgFKpuscLc5TzJhZscobwBDgBgAkwT8HYJ/AJQKrNoEJYC3MJl1etqKiqrqypLi4pQxwMxHoB05aCeDgihROjo6OD90cG7k+MjSFALjeJaoMqU3d5PQszgarIo5qQVLYoc5iDeYyIFhXhlh3hNwxIFh5UnIrwBuROiemumpMeTHCrEXEloWlkcXiLkM/BxUTEVhlelY1kvC2wVJJlmLcQi/ViL/+IRjJCTCAWoC0sQbntD3BORUw6RJZN0SksECiK7M7C8/OwJDB+5RUrQIta5jKh+KoZswRhkurxcUaHZ6YwypWDXKensRautgTIkZch0dscK30RR2vIIliySB9OVMiNdsAQfAEfxdnZ8bNE4vXODWOmEfFFXZSU0XXweklFaclc2dQE4DIaGC8mJQxsaj8UnWX8vPBo64iS51KQgksBReV94jmv0aeWomRebgQJJf5bkIfR82kuUwmmYmImpEtfDDQmcMHZdB052MEQfdzCOOAHD6ZGJ/HcW15VUYzP2h/MTj4YlaZr5OD8xrT8s1NTRWXFpYX5JYX5E9qgc+hxKFDi5cG8dgpBChWrIq06eE7ZwID0LKZDAbF9hwHN4dXHWQQtWo2BOiH1lSus9soYgEWGXLGcNJNISBQlgQbPANIUOEH4N8q8ToIZAvAv5gAJRLDci9y85xbJuEye4gFzXbOXNxzZBHElkMsiOvh1zY1ukKvyYym105duoK8PxNl7Pd80TL1aBGgFJ2CpdauSrZV/+vxPA/TUkCMai4XoZUhzlCb35iqWQkWRU0/sqprqZx7bFU7+PDYx+f7pK99540Nc3cCimzshAlOBMaJoHL4gM/IZZyICsLm5Oz29f/36B9s2tGHxQhWF+xJO+vrYzqu37th2DUsUafaRvMgSSIQIWvDNFcIGiL6o/aiCNU11W9e1nLlyIyIuJeM0qHRDgdEhezavDcO9V27eudRxJ4QIqVqCvS2BVWHkGjAJFIJLj/JYQk7JgDHcl2/c/tyB7RqvxfrNm9Y0N9XXYi3MhGDHZ3q8QLXRCR9ioBLGY2GlW0eN4YbXbt5Z18RloaMbuNiMYWAUbnK+RlAWkCTsVzrRLa2TRY57I5BMwihaWMUr4E/doFZavUMCECOl8TSVdGKno83LGx6bOHLyIsZr4vsGjehzlOqeLYjKYJQqFu4IGcge3cRiyoVKpJMEBIOFJ6PjZEpsBsZDHXoBCRVpCUWGKDf6rR1u8LaBi5XkEm9YoIqBQcbSEI60dicgQiu1pIRq2uxtHxICSd1+u+fNYxc2r23Eqt6Kg3u3r2v53CPbb3b33u0dEGCoMZSA9BwiKof3bV3fwmnbdcMEpO+euoz4MZ4nFGIdb0yl0bA1ZqJlX9rRqvDczuHWb0ThGr1tfQvCq+E6oxi3eupyB2bjjwphqXF2n7p0A2M3VwUz3iOKtG1dsw6RBIuUimUS+ZrVpAEio5uVr0fQg4BaYhu6xO++dQzDZ/dsWYOeFlj0is8+uvPUlY4jxy+6kdnaHGK8NhtVZaH2yEiQi6CICaYYliDjaKUCjfbYuLoGETW3tiiAJy/ewEUTFYun9ROXOp4+sM3FsEGJ6fHRonBtoq+MDxbWCKJ6swoOKhJKh2gKgLw7PzLKRDDZ/BbNsV4xxHbX5jVfOrzPFQc18vLhR85du/Xh6auYa0uEaHWaniSUCIGH9mx+at8Wxw56fFjwrZ8evdt33yu2qawCAs/ZJqor3bdNgPTcHxocHXMXeum4rCBzDAunDQ4Q6SCwm837+Nz1w/u3uwAwita4uraY0+qCX4sjxBSdsgGY9cEKCo7N8IT1QsFWmuCxw0rSYWAbJOjh8dQTlMjKMixWcsQoA4TFlzvuXOvsxtcbmPZZSTATckv96hu378kIFxYK5kkTlAIKkUB8NiJ7MRlfcJuy1qdJ4RdEgGvBbEqt0J7SF4vsJmcZANFbAMDxaUssjg4sXvkMjjDszdLxDKFNODMAwR4eJlA3a63J+gMRirQnrWXxND4ltM5MD0cqU4OjCvhY+8F2uaMLk4Ksba7Da0EFYwFgfJmBOzFrW9SqCHcgKEwKDRUxYRlw4xyXpChLYCW4DsaUK2jnAcRSL+koLSelJ4N8p31ewcaYeemyCRYoATPo/eidY/u3bXj56QNFtppwV/8PvvriP//jv5yYnnKNzfrHNqhs1YvARCsyWodxMaklMhWsTheOFCdbLcQHNY4cZIb0sWySgBKWt2UPLHtg2QML8ECuAHBaZ6dXNbmWGTQP/iImQGRLiworEHPKz5vCt8zS9y3AmE+KxBi5WHFBT61l88XKLYpzP+Prfawpy9HOmBuFUYXAKbm5icUlS+6HYjcJWYwZhiXAAGhJrCBXLiUNGBZkMIngXEQNMbdtcUVFBSZ8rllZtaIaIVXcM+mFyijNz2csbALroY6MDQ6ODA1Myaqo9hrpVFMePRA4zOGs2bFjgFc2BYR74QjojARYjjAowsAIbMA8GpMkimkLsjSUdvoGPQ+3QyOhzEaaQ5h8WA7VYRA4KM5DeYfNJ61w48TjWC54xj1+2LsIvTtCsRkQxmNYYTG+HkZEmMHIIokKwyNcEhkNmKFjvCLQscIsZqDBpO29lYrPLy4oKy4unaushCcxt+yDWQwPnpqanJhiVHgMo4NlcDBniubqxTOMB3uh4X1NoCk96dnS8QuFPpycFG6A5vJwNiDOjgcihL3lVPbmEI8Nr68ezBQUThZjru2yUpwsqIvi0hL6ZWICYXMk+NSdosCLWmgqU0gmApLjuHh+ocqXTuc1+tRSpC2Um03RPLqjX8CXEOE5lUtICi4FlOLTpZTG86Tr8Pi0lPJEuh5DNjuHEfsYB4ymWFJZgXHACPfOjWJOfrl4gQivYWbncAZjEo/iwvyyooLxQkxhnniQNeKMCj2kWOo7scDM2KmiGGEmeSqLowk0paizShxKyS049QhaQ6WaHW8qNYGeI4NEBWUg08DodLXHTkOGl4J0/DxQ9LhhBzwP9TLaeiDmNM16oFzTHBBVWF1ZiTfUltscEV5q5/BfvjVTkG9tMdJkVjjkiswmhSYCIVKbIEUCeweBdGJCiL3SOs28gyEXJcrtl3T/AGK8zqO7NiPkGZqAd2R//ZP3hkYY0hAmoQ4pbNreHoDAnNtiGq+AQsIcroQX2299/+2P/9GvfR73I8qKqVAf27n5rY/PXb0ZGQRM+0QYyKwQgShbYo+LaHdvP2Ib61oY4ESvjjE6+7etP3X5hkwgl2AgQIulKKOEhorClrpVG9oa3SSBWMX5/NWbPf0DrqTKZpnJFUJsmmLVdQJxRbF4e8Tbf0TBMchYl/7F3RgGAa9vbgAks18wvlURRrLAaElz/coNrY0IJCt6aGTs8o07CJyk2g+aiDDlSd9DuLacTLS2QdepxujEUHGzugyKIdIAQBu9v3XMVCsZT6m40KWksP+OkwkwtXfee+3DM+taGrauNUFxxJye2r8N7/ffO3U5LtVzQ34SqaZ4IpcyY27BEZbToLVNaznSJeBGELcjCZytVYvQvFYZzjfjMmKFAjs5C0PXOAuRkPf1OLJ7ECHGXNc2bAJ9S8iHdDwvUgg/ean99aMNDStr3KBYfMrw9P6t1zvvfu/tE/jWMSZI6gTSKBBPKE/s3XL4wDY3gBhAfK9w5PiFOz1ssdYegNVU07GBmSZ6dCRjqHFY+kbzxAma4F6aaD6+1cD3BJI1OwxXRSc2PjUZc5J22B+fv/bSU3vDADBmAD60e/NpfPfRw5sx6om+8tXCSZFYUFVj69Qc5aBWhbZIei7v4o0uTGCL70iaV9cqGkq//uLjN7p6rty6I+VKcFmAVWTzqUdt0eyhjHnxQiS5ArlIwvSt65vxSZALpaPGz12/idWU1bzL7Z0YnOpWq8WF45HtGz86e3V0XL9LFL2Qw6NvB0m1NMxCg6QFJY9SNHsB1coJiplC7+UDGaowp31eHkPyb3yMT4j22pA8KFdUlb/89CPXO3sw+hCPI05wRJxA0aV//cVDGEPsaDAD1/ePHD93rRPTLNsKMEjxh6ZjGAIR7vKRe6HCp9z4Rs2ZChjTchC8c57kuFOxhCMF4vaunrGJCYdGomFVDUaDgIIEcmeQVUVGb1IJJWMLEEoaNrlAJdyOCLScTR6KYc18O+eqhMLEu0Zq0tOWV4v4YO7ctZtP7t3iA8AlxViRFFpUijYSFlCufJaZCn37cdBcCV9MZ6yQh4ZmXB8dHYfi6hY98hHAOpJ2pm/WF/m7Nq115XXi8J3//aERdOZ456eUOOXgWzNQGFLFY2K8zaTrIdTqojHJU9c0iQx26x97NGRBuYIkdTk50lXhewCMd39050ZM0KYYfDCH7yqcGUYui6ONwPDH9DmpSABlsSiZKERdgdvrtkKCo2shllf14cIsf8Yz6laqEHTEpNAGnwZ74F+nBQSAu2I6egHOL5ZkUYdQQqKAAgRtFGHO2TSPxLxszcJd8f/z7dfwVILvRLUIuEP44lP73j158Y0PzE2FL4voC0tqxag5Yc6nQyNTiuYJ01MspBSTRY2VN8GhlAYc+MbY7GvcVATow+LEsqIwQpBQuAxY9sCyB5Y9kOIBCQD7vjNKkXYhiMKYC3owz15ZWlhVVoh3XVzk9bPbxJZUg+axAbdC/LObT1lI9hGXC8z/jOU/5YnafL24YAHwPa4X7pKRwee8noG3YNDZpDEYWcccIIXKIZBTNt3Hy6p0uKPEHV5BCSJYiPxW12Ct3/LKikIOaiyiDi0Dr1QIBM4+YOh3FGv9jg4PTo2NYbgtPQP5Tim08A6E+Xn0e3usfXrnipsQBViwI0wAiEGQB/d5GPmKKyhHXWKkZiqdkxIkjAssw/x8SqF7MPtSR1it2KAcemsHBsdL09UUHAANEYGJTMqthVSE3v5bZVhPOH86Px9Lf6J+uOFWHXXJ5ZAxNTEiwXjuRkQSUz5jnmJWKEcHFxTlFzFibscK0wwKtEKRlJ4D4nD3jNHBeUVzDG+WV1TJlxASEMbg76mJaTxWTiEqPPkAk0ZLJBh7PDBAEphFjikh0vEtUBdHLSr/cHJSuB0I5wWdVIDgGT8xdnAxTwsGGD+EwbrKaHfTU5wOuhjDsrEGU2FhZWURgAgD4zmeYWDtMLMdkqPUUdUBYSYCNHFcPB+I+ZSSRuPDKVbupbiNnP6VS6YVQKRIT1ebKWSpHlyEQEeabhotAAZFwSwImMN9fBJffRSVlJZyMeAH03jjph8wscVyODsmgi7iLNCFIxzYz1PeKUgWBlKjWPMwpQoj9AoKGJQxxcURNpchp1yz2YUgZQ3jRSV2DjoeJAKFBDvDUh+pY8RGjoHSXv5rFvuUjbgkXmkNIs6FMqXLihMuKQ9nyUViSczLTNYD3oeaYoOjY1F5GBfSVL9ydU0kKoDTqOf+8J3e/hwt08qe78gGIm2HOrU2WatqgDR+vagSEsji9xyKUCDfEBq8Lw0W4Ny7ZT3CA44R44HeO3Hp5MXrpqDm/E5pRea8M+ehNGL2Fdpf8KxEBjbBZozrOnL8/HOP7d61yYTJcV+Gl/s7Nq6JBICNXRFduIhSCIRBmqYka3ZzeTAY0RTM1qiDgLHi5iM7Nr5y5BiGBdMGW2bLhKuyJnlwaU1AP9Zr3LkRKxqaN/IYA4QRxlNu7TErRY5JayBQgOJnSSKLn/o9QS8ATEd89dZdLDCsg4AxJnLHxrYTl9oHR8ZUW1iJVoFKNNrMQXBb1jTDq85+rP6LOIEZZBYxnvFDqR9UHMxTC5XC2GmdgxKQBNBEAdzAI7ITi6+JEMnk5gVa8wRMMm0WyJJSvYShRAYdOQAJGhWoCJA5eS6hqCQx4ZiR6Nj59m3rLiAYhtYOCJyzc0Pr55/Y3XWvv+NOb6DY2aMCsVdj1ROhGY4ACX3di0QgiTZHmrEtRaoQBzQJ1UcdrrhcZESxhkbOZoUBgp88IwkSRhsiijCbkGJnJMqpYfoHBVpCcxSCGCzMwh5mh0Yn8FoWwfXnHtuBpwil4Ezse7di3DzaXvQchAHGNBy3bGg8vHdr/cpqJ/du3+CP3z9z+kqH7d8MRrNS9XI2SLOgBWolRPqME7b0hNhIO10CadwlbWyt39jWFIarAf/g9JW+gSHXS4lWbQk068L1rjNXO5vrVrrFREFwaNcmBGi7+4ZYU7YSpLKp0Xk+SKvT1HnOhWT2GVGMHWRC/Rsfndu5qe2lJ/dWlZuFCTBK+wtP7u0dGOrj7NOqRe1UzpgkmxUXWNlypC1o8wV6cvj6BUekqwqYrDCpQcJxDj6NUHqtv2hiRYDO7vtcJUe2rp7756/e2ra+ubaK66Nje3QHvsxZfa9/EPPUoLr9jSbckKrXK6WjVAj2shCMy/kESKQEhFjPi3/Y2HhZoxIvRhgDuUql4oK0UYwZrVHjzXU1aAlKg2fBJ/ZuPXP15nffHMNnOgRSW1gjak8+KhGD7N3JBSIMlX7z6PmB4ZGEQb4TYEFj8lDy2VnoxbsAomTD5+GyYIiUERAyic2xkio190YsDJV+I69/YKjjTl/9ylp30QGKrmK1gF5NIpdklZ9irAY6noITGxHqP1a2eCbwrCcXstLSEl8qwTGQSTOQCepJdInKdKXURC0s3/XOe30DCHz64Ctu9kQ2eNkha7uDNC2aM8mhHCRHQosYJRCjAbI4GmzTUUrxpOICAlM2FkJrAUyJxkLWyIahAlgTF18JRKBzc2ilU1PTIMY9A67v1jiwi6fsTSnlsZZEakw0oSwE0FKRsgPQybJ8EdWJDEUIj8hz6KiyIKdJ1g7ny8A2e5fjwn2FAoSPIPGaTMW6CqV8bIEoZhN5AUm5opTWSGHSnSmxgcQIoJcCpGihDXoGkYe+i+kwonIcTKHU5RSf3lPmkJCFitmfRUa4szzqAWLMO+IE99zspeu3/vSVt/7pb72M+3lFI/EffeOlc/iesbcPjNgAV1+pKC8l6icPlxRrS3gN3JkneSdQsaQ1dPEDhQRIkgVZyx7nMv2YgI0ZtnMLS+RQRs4nV3Fxg5bzyx5Y9sAvjAdyjQCezwl6BU2lysfwX8z/zJAHnpM+i0265ay+OacB0ksr55L4edVhMA1y+O3kImWAPicLb1Xkl1GGqDrNRWFgdACVJvdcgDlwSBLRw0u0XBDnMDwUN7uY/LeyutaGfksRveJtJMtAL4AWAbAHUwz9jg8PjQ4PTwwPI9SHrwCoEnjK46YrtoQmhLYoTbB3SL2hhEoryGEsdQJgEfimXoe3YvivDLg011SHz5mQEqrDoMFqT2UJLYgQhggjwoBUukpTEBgjvMBF2FM0E08eQyfsVoYe+TWGV4Vaw92NtF0ZwE734FEQoV8OCOYQ4SIEgyU8jBQjxMTjX6OdOtc39alCuhNqcCogdlxkFWNx6DI8MCHwyWDSzNQEwsGcEHxifBwTg0sYHjs/U3Tkfmu+Eqc4IRX0cHIcNxIslssbXSw3XVJQaEbxkipOpP4AlK/hJa42MzVdNMUwcBE+OkWwHTPxYrz05LjMns0vKCgj9hyZWjoHjOtMsdXRaiLOEc/HyD+97EMrXqoAVgdupvGqAP/ajeUqZURNJOO40qEOvfjEJyhQu89AID9JwOzt6Mcxh0NJcVlFOT5QmJ2YMiczXpejq5yaxpcKpUX5GAesDZLtO6WNR4sWaAkReiIoJEKCjOJEcgSV84QScpwnloNyBBZqTaQtAx/0E+LnYzd4HLjpwapXQJATmoXuKNmIzWIhSRZuYXD0sYu69i1M6t9aqpiv4lkpN2sECDngGyq81Y0tAIzTCK/ae/q5Ou+iNne9tm8KoIONXV54UyNbsjQIeWWkbyEJ4UkgRmVUN3j1YqtmkxhX/9bGuif3bWHGbr33h9786CxWdFAtAKtgi/dHCGSGusUqptlaCVUjqRIA3CdjPsb+909dcgFgqG6ur/3cgR2vvX8KNwh0JmVpUzf9soURDDT+lUYI/W5kdPzslY7O7j5MtQoorq0tDQwtv3P8PBlcqMDpICslqTiVKu985zBwdhcGatlhc7hTudJxF8O4MYWKWkZWu6lJNhc9sgRUQTeIT5BONR/v5BHSwDKKzzyyA7NNggzhpU1rGlvqV7kAsLFQjfZ6rOEshilOzYrKLeuaG2xEjfbfgv134ZOk/eQCn2lOlJCxiXyUIosEYvL99PXq1eB9ZkSqdYwcpW2IY9g0U/1DG8XIQDvtUC0i2vIFoFAl3lkPjIz89KOz61sb4GS6QhrJoV2bUblwPibFZYuNyJQ8x+4LRh58+aSX8AAAkA8fGn4x1RRLZaillpHE8U1Ch3wTasQEeIVSqBSSUqSUzKE+jDDDquUXGvPJRCBJOOWLEBKIt3mEIO03bO9hSoKsiksxykilHGygRJgE62ViNCdWnlYgnLxv6zoMlr3dM4ChY7Ba4eEeH528eHD3/u3rHRCTP2Pm+Q9OX0JCgE4F7IQik7UmKx+AYrM9OmkPmZDiU6NxK2ppbm73lrWtDQh0mTg3sHd7B09fadfJEqxGcNEa9eHw2NiZKx1P7NkcBoDxJcKeLW3XbnXjyxgZRSf1oL43UqjabWpMYg88W0JiA3AOK5X+4J0Tm9qa0OWqwYj8fempfeevdb136iJGjqq0BG9MZop0oeDOXk5QVpwnWgs8Y+yVS2XbM55OMWcQzEMvu7nNLHwOOnwKe/rKzagb87Cy8nOHdroAMCaN2LNlLQbuI/AJ5ZClBlANJPoM81aVQfJAKCklaXI2rXCLZwEo0ZdLyOUzrKCSQGL5nT4rggweLWRvHj2LEPaXDvuQPGrkV5597Pz1LiwVwSijk2LF4ogm99S+bS4KAgji99958yOEJnE6B4SaZL+AzVdBjGRuDmOscV1wbbitaVVdzYqOrh7MSSUOAndQCJWatgeR+mJkbPz/+H9fxczBDCTLBsPu9HJuanrAtQ3NRkSZAsdsVBK4j2j+eOmRNHsbqzYiCHB8hMGRzMGGSyE+uB5jRRJuq8Mc5RDSiyLWuVBTztzx89f/i//1zzDbnSlYft7A8DhDoSIPLQ422rMg2gCFPdVUYubbrKksvXTy2IWmJvjpLEfgElJuNmXSm0yUFeUyxSVN/qE9W9HY8E1AlCrvakf39PQUaGFHAWZ91kdne35AgrqN+0BcRAjk68+URPRl1CZIguJExDiULZaKozSzadJUmIXBQOvAyUlUX0CPhe0K+S7XlMI4K8pPMcIU4RPhConYq7IipOqZgEGS8Lg06EA6W5qaZ9sViGj9AjcaEiuCmkMR/AfWKVWZSUhMlxEYQJMQh4Q2j0WxRalT5MhyJ1gdc7Pffv29J/dtw5edqCCl39ja8BsvP/NHf/Y9jC9Rz1FXrDy5Rc+HFeNZd1p/mZ4XJwudr2iTUv+rIlu/Tq13jqt9qSDxVKSCRLj2eI7bJyDnEy23l7ycWvbAsgf+tnpg0QFgdEPaCfp+LuIb3lfgTXE5IkdF+RjPxufkT3cT+UtSYk1bErMtFLpdvL3CHjEbCdvML81T+JQV549wM9BKofvg6gOA4j29IQ0AyaQ8D8SkJqkIoXS920TolwFAhH5XVJfjV1lZXFqOiBfQ+seLkiwqOSuhXwR9R0eGJ0aGZ2TaW7noe8tVbliqdP0GqoTI6JOM3LUqymEC/hSYaparI8Mc8qzOQagLHZhuRLKk3CDOlyXQbJPOgjiVQxj+mFxfeXFGSPa8Vk3iaEnsMSQIYOEdmL0XoSvwA9UEKVFStGfGgeGvYswQxbB5PiPCeBDAKs9lGC6MYb5I5+NBiJ8+MPgpZ4G8kuFJ5e9qgOcKonkl0kjyZisfTD/A2rczDDtNjWNWcLztnR4bn56ZRHCaI2gR+LQPsuHNYliexaWD0i+K0fFpghUfglhNJo/nH7qgoACDmt0CwKm6tG7BxtdHCIrjIXt6umhmhnNyl5diRu6CIjpoGgsqT01zBVZ+PQPylDbh5TurcoI80qYifJGMpfi0j1T60IofTgBaKtoc/WtPh7RCp+hIAaVxLhG2aOnKoPuM1pIqE138gzmM+p0oLMB0DsVlmJSc1zHEfVk1cM7cLFb0LsFAAXwAxKXD52aib1ViBfRKYIXPpLfgKEkgySBYEP7rwUrj1UaBOLoMqy/1wVheRpDMMhnerAPI0PHE4g/eIEE7AyiEEDHJmCo2W2X2KNqMlCzNy/CfeQ/ohc1d3nwWKbY+vp3DcPrqqvJYUfCG/U5Pv9x1mCbhWkuMMpZ1F0GcjTbNFodmp80d7VpfPIJRgiJsZfZtgFAGeWmt1GDPBpZALGGioqJ027rWulo/Ag9DRdu77mEqTqUnkd0Mn83K0RXNXSrxVoIY5YP9kuCrioHhsRMXrg2PPqWjMEGD78swCHhtc/2l9lsiTc4yMmiJRIxowI6W6E9Jgz1QPfcHPz5/VQPAuIFBBBSzQL9z4iLfWIJPBJNDbFNWMYxikYBzWZF5c5gMcGMQluhGaPbaTYzkbqmvNUVVZpCaBI6BUBGiknn3IIqpQDYebFohBOA3O3v15l0MAtYAMO6+EABe21J3ob3TkRlWr4pSRRgFKBag1vqVWP/YLecMyy9c78RIaMwv7Z1ghVIAGzFrSWBeOg1VmBITYxRZbjmKZqYgK3jRT0DILrSyo1h2zYKVfZpYR2/kG1mW3tmpcgJT0y9VuKbNIW702gen1zXXb2prUPEIwiEejBHeH56+oieSUxsUHzr551QGNJIU5XI1UIwnlIcph2ERxDpTlogcU8wozAIdJ9C0hl5wOLVOZdOv1lASxTZlFITGLYDniSn9mCHXkxdNOuBPSooJhtoHH19oX99aj7G88Kqi0QifFfdi/m0rTcyWHRTt27Lu4O5N4WhaLMx85Ni5m3f71AxrDIulZ5lApMiwW7zg3R03alH5SBm9h8VUEUQYPvHBcsWra6pC0Ti/bt7pwec+wgWMilLrmM3PKzh/rfP2vfsY7eqiboj8Pbp90xscxDnKdmFW1AUvGa27VI9mk3tgGZOOmC4cAmJDOXGx/Ufvnmiqq8F6wCoLxn/12Ufbb+OjkHuJjgskEXEUniLeEREpNcJG7k9/bZJaMYFxClYVAO/a2IqZtNFXq2E37/ZeaL+FOXtDjRc7bmNe6DWNq9VvcNoj2zbgLO4fHMHn99JKg5fgypnUa4tg3MJSmkpS1W4PiZCh11xKZweOTs1ASGbLEOOPgKnGFQJpZIyGodHxH75zHDP8Y4121xLwsdEXn9yLr5ewJrRt8FoGclWWl/3qc49uWRcZ/vuDd04ev3AdD9JGrjsY08luiiiSjEvEjP6h0dhsELjkYT78653d9/oHbLmsydZyp4EJI05aqs123uWK9aqfpeDpSTr6Dh7EkTnlRAKbqQ3RAHelapJiEMN/lWDYmDfiFI89WgUeZYBx2+H927775kfnrnZgNjqnEVh1jqs1Q08FYqvJ0/bRsTGsXmFsp0ZeKVE4a4z2n6YRsvEIQgWQ0oha6MHUmjXAHVFqFjzTTeIgENj6Y4rWJk2IQcjjttamun/29365ZoUZcOngvItovzWJJ0QYEVzQxB90plaxVgltDJzghCABlGDVLfQNC0Uj3WWLycCmIOkEGRZeTNUWQySyHJWTolUmWgSZn19VganCIzWDt9aqmMqlVLRTN3v0kpMpENs/oyjBBbyF8ejaiVNECDHmhkxSUoew1AkPHEsYNytVMpGdFc0CUS60QiA3YJwBAiAkR60pjdtbwRm6Q4vUcnBqW3EiIomQgQiXHx0f/+P/8OPNa5rXt9Spwbhb+MYXnvzozNV3T5zhs5VCxaBYiSIaEhlwCJMgVF9OC51JThLr3Pyrcx0mkvBaArDWCAAGq6rFV65AtjjQbNoqiB1jIGw5ueyBZQ8se2ChHjA33AslFzp0QrhiJFjQHcmlJW+usrSoHPOv4EGQ8d9kb5lgXTpALnyL18AiUKk9LtEAsiMGhkgZiokr0EIKS72qlqkcm6KVNErmMBacRqS4BMbxasJKCI6mEoHPx8ygJaWVK2pWNbU0tK5d1dxcs7qutKISUT28QzEuxCixBxjZOTY6cP/+ve7eO7f77t4e7u+bHMdykg943QpbCi+TVOWZA8XRpCXBPbbcZvMeVnhTmS11IEP1ylUZLKglPGUhSoe4GmaBW0BNUaSIpQi57oYlCRRpMrQgQugRxiItvrgCOFMc4PTnBSujZ/eYMGXx9piGo46MTW5xeepKLBf+QeAXOQSBZjBr8+jo2MjQ0MD9wd57/XdRs3fu3e7s7brV3XXzbtfNvtu3B3p7hu/3j42MIJSLtX+xAi4HGWsdO4XIY2NXMJtfmF9SWo4vCWrq61Y1NNe1tDa2tjWsWcPWVd9UtXIVJhdHjBlDzTkBNRqPsDpJi0lIa8kudw5RzpOaYLUYkDQEcNo8kigrTn+0LhaPH7zEp4BOKmKLlmoHCyJtmCAdA+bHR0cnx8ZQ4pKykrLKivKqyrJKxNqxtLaeQWklcYZ6HSkgj7QpT6Qp7D/jzVjwcIqNkCWazioQ/bHWGohTBcbIUJsBBaQmGRIlsQuEZErP4leGnGw5kGi2Dx5MjmLKfr5CKivnXNDoBYwyLGvN9akfFObP4aOuEox8y/YXWKDHWhPt+YGT2wMjVg6ZRhmEkaC5gJtwWCGnEdWhKrkZOs2YvUFJzkiN4HNlQl6nRBmiKMLkpF6shlzal3E/Cx5ItnYH0QT2qHU5J/i2EQlcDarKK/B6OrQfq6b1DgzbNhpiFppOnE4qTJscTXCCrGEeICkSiJ1mz5xhMgmsdIu1UUPLMeoUkz8PDXP1X0NEbs2l7MUMJRDpQmICXTxhiRIzcKl8cOte79mrN52VSJSXla5t4tq92Ay5JES17OTTKaZEjFJG97y1wxSamEEUY5sUhVDN3i3r1jUbyVF65MChVvEoXQthBXn5jXUrt633azljubiL7V1iArnS5IgsynObyCcY/3JwJLQ0KYMFv3W3BwFgO/AxD3HxA9s21K9E2CbJQHr+GVk84r03bkZw57B945rt6zkMWrdLN2B/p3ylakHh0YjxpiJlN9BBNX/cKF8+dkgpAEkoVc0K5UfSkCKEFOfIVQV1ZEwcRVoyigFWnsDklp7CKE2OkEGDo5sqlZmKPj53HYvLIsikFBilumND63OP7cKc27Sem0p2MsVggROkYKGL7gQpFgqRsUyFWduUW4xNGqmxYTFV9FhiQNQoAUANa0JhTLI9ac2Qi59RkkI2qo0ayRwZuFFIoCiSFQL6IesXI1A5g8Oj75y8dPwiBjL6FaBaG1c9g4VbWxtRucLljJpDJP6ZR3esb6l3RmJcI0Zpn7x8Qz5qoXaVLASxLGCAWIxJ4RApc/KS7QkjKSoKNmYcRBNqPj6taG5YVWQXjwQZxq1+dP5q/yB7SzFYSml3clZC1OyVji7EtiendFizUYXR0hihiA/wXNBKdTnVYgZlOXtMUqxl9YtTvSuMYB5ACUb0bK8dPXP8QjvGuDskhlx//vG9tSuqIEGEh5YbKmqlMtmLOscuCcUhKVRaFyQLSMntmdiQhUCKkLequvLxPVvcotGgw5zGmC2DX2oE2/2B4ZMXMRP+uBOEQfxb17dWlBWLHOpQCxwBtYR6VR/pQCL02KstnocpYSKVoIVadnFyoYiyWmYjxlnEhOqVIzlxkcKwbLkxMDJw8X3h0J7Hd29GrNeoZ5lkm53FFyoHdmyoKC11Go9fuPGj904g2Cla1Rq7VzVgZWnwMyTODOS7+wYwdJjBPLvBgK8+d/Dzj+9BJJgCuJmDkWdzMYxQShMKOUisHY30VDSFAC9T2ASkBgq9NSZytGZoWVSCpi2nilamuc7ufrgFBjkh+Ozpn3zzS+taG2WCX1omG7tMbNxTgPnpUTCyo80iTEEQKvR6BI+1RNU5pS5h8c6ahSRi3EE2BzepaJD8U61hk4NJW/ZYp+iy+S2N9f/ZP/ja1vUteGVmic3xfHvX+asd+G5AHUBNvNSIVjqPjrF5VDqy3GdupBcWY68QUqj8TE5EJkSIFqLstc6Jkmufy6k5IjDSodDWWVyV3OcXqmFwdFSmcmSRtDjeFG9DuknCQn+wSKZYpMzaVJ7DOvGEiKyIPyUToVFO43+H8QmxwdihUDrNydaEGuuZFpEyZoqf0rxEUcYP1Cpl8iC1XoFhOm6ASgD3qQvX/vLH7+A66ygwF8I/+sYXVtZU60sBb4+RFz84xnkSxug4O+XbQsQkKKn6FiQpnFGQYQ8UhRBNU51syYQhDg6OJoAtJ5c9sOyBZQ9kegBvOXjVd1d+T5gCcsjcuPzqcgSAsa4lXjVICNDxfYIJdsSZfXGWHvbL7Jrl3/atWcS54IF2+I9hRc5rh8uS6a9Tea3qVGQMSNqoNPF5DJYgslKS7FGMzaUd8Q6Mg5qxmisCdQj91retXd3UUlNfX1pWCZTe3bDFSJGnJsZHBu73373Tc6ez73bXSF/v5MQ4bsk4/0/YTKzl9pim2cAsiYbZ+NwalB3I6Gapo1DkpJrVi6gjRn9lnWYMukTEI0EdAihSxKoyaA9LElJKOtsCqR/SKL+K07ZDqDLmEu8MILnZnDpJaE7pohQhLM1+5bQ84ZEWofYYEuYIXw7xFddNT09OjIwM3u/v777T09XZfbuzp/Pmvc5b3Z03u7s6++/cHejrGRkcQNh4empKg8HuXY+Xz9sgToOMCiktw2zitasbm49r7iAAAEAASURBVOpb2hra1jS1rmlYs7auqW1lQ31lTS0mpMUHCJiOGkbQoIVv2UXLLcPxqe8Y1HEg5YznCcXwXfgHUTJZ6FrDUhl6Ammu2tl1zExPjHDe9LGR0anxCZS1lHG4Koy2x5LKRfRA+tkUVaNWR2HRXKDftc0oxaedMxZEDFm0zofjpjqVgD3TqDK0dNfAQpwQBLu4ZiPBCgwol5KMS59XxnwMilcjcwjDmugYgz86PjMxhTneSyvwDUIJzn5w4IEZ3yjgWxBEFUpxwhbhTEwTlAp0hGkGEKbnV1KiPMyh33cCTA8aagnTEUoyBUiesbL5CjaAlEPAJ1jDa0UYjrT7jkzpIjIuN0X1Mkg98LPrquQDNi9lsNq+s5fMHO4zKiv8K1otFQIhI+Mm1BSpaVtcXG2j2yKueKJXblkgWjP2jEBObTRg4m2jpvWCJoBpvPPdss7HCwEdGh3DopU8UYWARExqCTQV7kGkPxzkvSrZ8OObU/kzB5U2NDJ+/rof1Yp7DUwDi7lA9Y2saFF13MsPdw3WEA75ANCYogaxGAIcn5zGIovnr5mRxLj3w2jafdvWRcmNAAVClCR0RzX4CgthYxeWQPVhutSOOz2qxGl0CXNj7PLGFhFrVEVfP0oJPblJkR7ztZ67dhPD4BQG+zFQDOExaWiUpT96BdRyEErJASnB2YZVtTs3tGD5VRWCMehXOu5geCI4WB/RzeSNMCPfKUKCeuQnQFaR61ijkqRUFCeyJBcjEAmEUahsqlYBAhS4xSoN6flvDJGUZrDXhKKdkw0HDm6jIqN2rndg8I2jZ49fbHdBSiy6/PT+bRgohhmPSGXLy6ToJi+LzrKpMU6yJihdGiaO8vNglSaCJCl4lRsTIgqU3eyVV8iomVDZAEHGhlMFw1trJMQI6wmejPENFG4TRrYZQPTrAdWLPH9Om2aje2ehk2YgaGyvfXAWayo7zQixH9y1+ZkD22R6fM9YWlLy5J6tB3dtdC/iMffN0bNX32J4ftLKpXGyqTxlN+axPgTMvVjMnGQEvIid41YeyapU7Jmw8Lkn9m5urqt1g1YBx/zh565i3CoWcLXGigOREV5jPyY9OnHhOqZAsMJ4hE8wS3Z1hS7QS0qHjaYBJkqBSqUdrIUp3nEzwUbB+s67Pzj8rZ8exULgrs0j4PeVZx7dvXkNVi5QCYFmUwyRSPYQ5RSIoWqSCJAkldqEo9QE60p5dJ83h+D3upY6LDKkBKh0rPrMGe+hk5ttqnlzaBW37vY543G9wPLJNVWVQmb0IB3T6PVKSg1jaUAYckbYxEiSWHJXImLSVUBABGWYVQtRRpvoRQ6DJH764anj59vHsOqB3TBW/qvPH2prWi13sV4Rvs16+ZkDbj5/kMNR333r41t3emSgBQ2Vn9HCA+3kLoArVnBzeRNTU6cviautdhwxJ8c//vUv/v5vIFbagAdPfurjmDQRqApEM6mUAtTyqnKxQtDIk4aH2MZqFjBRJIlthksOVgI5ZKMCI5p5JDFUF52PvJTzgtDJ/A//yW+++MS+4mKO2RBuNcfkkNEf825TgyhVQVAlxkrOIMVecEuWe2ya1bRkE4VyuFwJxxXKA9DBY8wki+NM3txuysHucDRgyMmvqCh/6fCjf/Rf/d4XntqXnPx5cmrmJ+8dH8WtrLHF3JDJNYdmqPusp/QYM0/IrCvpQmssU7oJJJqzCqPChJxq3UY6LX+wd1jKdBRzc0WFxTs2trqeR2UPDo3OyApcyiXSAwVGFmnjThZ+qpXmQR7li3Eja1mdYcLq6VQ66EQJyZVFhKeqVQE599KRGokiWtJLlRaoMiLSJIkPhBRYlEE3W3yVITArLkOIYZyb/csfHcGqEOGyzbs3rfmNLz+DL7FAAylGg5U375F2JbeohfMLcVUloiCRlugvEB7KMeBAkUKUBulYwvFaDM12wOXEsgd+ljzgryg/S1b9zdnys+oP3nNn2JYBzvKhJUewBgsAY+iaCYdk0S8Zvvhez3eTTPncUkwItTNIVlCYj6EeuOLjCQt3QekiQ6Z0Cg/NEuEpNLVQOseXweDwbAioRC7zWoSpnisqqyqqOeczpv1l8cyn3FLNfIWEEaKTGLY4MTw4PDQ4MTqCgB+LT5/YphA1NNAfJfAWKInug7ivJ/CpQJoHSspi7BFAzGItwzQ5/Fcm1k2+EAEVGGBYWFdZds7biALdzia9g1M9tEl+go3uQt6oAWqglRDSBRIAdnQBOExmcIYkybR8ia82o4I5Kdw0Zm/mg+sIbkQQIsYXAyVYKri0rLispLSktLC4VBYOLisu4WLCIGAUU7aghZh7GMTfSisqyioq0HowQfT09Pjk2PjExMT0OL5Wn5yZGMeE0TPTUzzJICGsopihSypaKEN9R0OR0gzRueQWFeOdP7s73pUiphWtNCM8W4CQM9qFxjmBIFzRdPEMJ9vG/NtlFWVwHVYLRkCdE6pj7qrUlpvTPDUgoj+SMQZ+ugev0aeWovHhuKnRSbDVhCbI0AvWt0YlpDUtxxExOB0aIVlEZtHSlMGWIaZpwdI84SxiwNMTYxNlRfmY7b1sBRcDnkI8GM3ywYPpiZniUkxUjs8xGCkXL8nFwvMHFsCHsEu/2lGwN5MIwPCPnwcH3CYpZ5GKgQ1ej/CobmW3KPZJVozKdlkLznmkFhVu+KgcHFEtIkJUxaVH6QxzoBH0AMbhsTyFKmHAuZz8G/IAe4aoatc/uIRejNhCpe7Q9vHFFIbSRvnwdeAs5siIAEW0tGTbyBJoXmgFaOUjE1gUJJU1bDo8C5ME0r+ht7P2y7kqQJzYK2uq2jj80Wy4nvXeH77b22+JATeGsKyhJcJh7hAkrV2A+IRmiARaw+scpAhofGIKQ13xFtvNUVxVXrZ5bSPuG6bwxYnpjI1yHEzKhi9xUyqqIjspCjhn7w8OvXvq0s5Na1Q44qBYze5H75wUyREW2sMN5sE2poiew3vwir1bN+gasQB03u27eOPW6JiMPxMSkkU3wxsFikwUWeaTlNIDDyV8hRzdtA3Jy+V8xM/OXL2J8dCISoJq85omvKk8cfHG9IwdOKj2iiwIYo4bjnQLbpSwdvGGtiZnP0K/iJ5g3lGpgoRuWoQ/02iSaC2FsRdKlN7kg4NpINIW2CGbi0XQFJ2TTPGNXhxMOyE8bEuBdEmKkdbCiDQ6gNzyb9Ip3Ggees3HeGjEgDe0NmBeWaVDOzl8YNuVm3cQGKYgStJNJdO91B9BWRIejWrT0oWUxETh3lWbv5Cx2Dk2mAhqOjrY1LngMyIh3p0FtE9thGCK1ltlcksqEGOTpkh0O+/n4XOpJqZhsq0yRRFi+fxRKBXlTDVkCL18fOHalnVNmHBYIr7kwqdlj+/dcuHG7XdPXRYGmoDpfz/3yPbVNSucXMxA+9Oj5zq67pkCEWHsEY36AAGkJIwzHHeQgC3OrgC8qKR6Ayy2sDi/5jBT/Z7Na6vKIx/6fHTu2u17/XhI0ccUcogzpLejldLxsj/EHKq3ewcaV9e4mDcCsc8+svMnH5zuHRy2BQM/dLkCGMdaM2iRFIRaVJOgADSUWkxB0mYhw0q61978+BwmFcAc1EpQXVXxlWcfudHV03G3l/E+I1SP2BNi5EclWwq2N/7Z1sOUOffZqIIiGMJAIO/aMPjbGQNUx+0eTLSA5z9RTFr50Q9YpfvG7Xtb16FbMxNsPL57yyvvHMfk/Axxe73aMsDhNhqITXc2Q4ep7Y7OJAA1SOm4WQ45Q1gY4OQW0FeN4zaCJa9mI+m1BCYYloGhsb9+7UMMQ9y1yU8EvWVt00tP7u3tH+oZGOLZKeuSfvGpfVgLwBUc/K++e+ro2StjY1PyOG7KpnJpJFucHOxcr7YixAo1Ky8PEp46sB2DsMtK/E0LLpq/+sLjhx/Z/spbx98+fuHyjS58tQDJ2haVP0wTI1rkAgRCaJcrHm0wvkJFG3NAbNO01pjDFIuaazPNUFRTnrY44QzZKGZ4ZOLV905iUof6VSvCjhS+/e9+/5vvn97/k/dOf3j2ClaLwKRd6mQR4QqHhOFD1RuoKYAcCJUTWpudkGje7UObbFrE2sxCjqFPwIwbB+cyrYKYEKx8XMQ3Lm7hXlsBoIO/8KeVwmweXspgXZ8VZaWrVtaiO9q1Ye2zB3fu2NSGxZJjYpGF9iMnLrzx0ZkJTCFAISRhXQYbrlsoPrGEx5ABHbH6s41BrCOLsGoDUQZJR7QYQUBwEwa7E1RAjKSIdCySYK+EbRe+PalbhVdTkuMOXyXe6buP2/XZvFk0YZSESkLbSGXrBAgVRKDdiFSrCDEFEQ3qF2UhXPB0l2XQtGaVA8IUj8bOilQeo19zooI8govsRLm7T1ZB2k2KRgLAJWJgsdNOYdGsSvWlknyQNaWMKFca+krKKlqcBwDCL9QoOpMCAGHBnC5MR/R//n8/xtj0ptUrpUB5mAj673zhqQ/PXDp25hLrTYQqfVQ+7RBTUrVEgaQTh1qfK5oSjPOj9Gqhw2XQ+GIIt5rnmFw2ljCqWSPWikibjluynP/59ICp3Z9P45et/rn0QFFWo8uCRy+niTJjIbHSIowTwlUdD8r6nJ0gWiogq1fNlueviXIRySbMicnm5YS5uFWSt+S8uCS2NFiCiL05eFPYk7A0IhWYgckAJ43AQqaI4GHcYWVVdVXtyrLKKpSNVywZdiH0vBjiOWsa8zsPD+M3OjI0MYbQr51BKGw0gd4gmaLWgkCFH0SIlGyeXJg0R+K2ibM/F/NbBw7/fYDFS5KtWCsqW7a1MlkjFpPOG7FI9Ur5LFd4TJcQUkA7idIlOPZ0NOU4kojQeTNRNnkEgQ53dyWJOVm5djJvFBNd4jOCAq4bzfZULvHg8qJSfGJeUlpaVliKDy5leueYWr0PmpsrLMJs3ZVl5ZVYpw4hz+mpiQk84yISPIHvpKdmGBLGGsL42iCwKkjGpC4kG3LTdy5vHhNyysDgckSACwsxSpJnijzy+ApwonLK8Mi5PIzFxDaFMDBehJdi6dUizAWN9ZenpuCJSTRgfMLgbukDW70Ml0pRngJy5J9Owmv0qUVreghWrytVCJ6m5RUF4h88raI00ZyXZMh8NQeoxSYzdWQJysmQExlKVEJfAunYZ/Bkj1cCVYVFpaWlVVwdGV9joMPHit3Tk0U4L8uKC7Ci94SsoZXSDeGU1GcUSE87d0QpKHj0qq1ZfNRWnKKlrwvOJ4pWs6WmfM4KCI4GyZ4p7CeEAjiiA3EBYyJpNBJuhAICXlqbILYkUYThM0DkHmZLUfow4pZ5F+IBtsy443G9Ikj3IkTzmAI6fJeq4oFy45bY8LjZo8koNGwdolF27Jt4JsRtENbUHSjde0tD4Cw1hmuZDNUcrjYNq2vwsZYTh0/lsF5sd++gYwQqsC9mDAQJKyjQDdBUOUnoIYJQWhLwgB1TeKd8u/e+rEFo4ijohBF2ra+t7rzXo2WlajrfuNlYIgejzpmLhBgAJJRgptBTl9p7B4aqKjivLOIraxrrtm1oOXPpRshBJm48mqQYj48gN7Y1YFFSR4whxZgCWoWnfespImzRLJeRrOIloxBxhSUKj0DDGPjnTs/9y+1dnzuwQwPA5WUliAG3NKzsuI3VOoPNyHOl4PUMPTbmkt27ee2WNU2OFKveYu5ZPpZpw0hxHz2N1575XFDTbwGhgWN+H61gTxRNSUPVSgYLaz8QYkgFJJ0ocMIgEHEVUhkf08J6isK/b4gq36lAIkizWv0mrBLBZbOfm5rJe//0lU1rmn/1hcfw8QHoEC/fv3X984f2dN7r7+4btJxGIA/UK1kDsyQ8SjHEOuycgcYCe6D9YpUCDDgQY/HwXARpGHEuwAuySYCQKdpi7JGENUTJVJ1Ny5EEQim1Y6rKnqdSZZSnN/a0I2KISoqBfFaIWXqMN33j43MbWxsO79+qgSu4d+fGthcO7cLgvFvdfSBqWFXz7KM78XGDM294dOLI8fPHL16T9wcGLL2HPnBoOU1aTbUFDF3u0k7wQhK+FEKNLCHG8wLCPT6yuze14WQMo3H4kAUdzuCIzv9sa0OliAzrTJye+ddu3kVQbfv6Zky6ICTc4fsbDGa6cbsXM9ijRtTnKLhumhV7FGcIGPekkZpl245vUs8g01rG5wDff/vYtvUtmE9YP1RC3/j47q0vPt6FwcH3h0etQogRu3Une5EcVwCN0E07kRBzxT4UF5TacuzZalnVVhE5u761EV9ghGs/Y5hvv0TBhcCYIcbkj06Mn75y8/E9myvKzCUDa5Tu2bwG/hwYGUO/RZVGryjTwkjSuIUOkrwYIbYbTHhQDpLwIsY/IxhElCklDjylvM75ZKdoPTApfwaqwgHhlp934uL1V9892VRX69ZmRo186fD+s1c63z1xfnxqGufloZ2bnn5ke02Vby0X229/78ixnvtDItqIFInciWbaR2/wT2xlKUzpmRAb7/YNfOeNo82ra7ZvaAnbM2xA7PR3vvr8b3z58J179987ffnEhfYrN7q6++9jiWuIE9eoGJWEvTgLKG0Oxm3iB7FFeIA01iBrN6kVm9XmYVHmKCUCmRLxhsDYIBA9TYRG6CFiLu+ND0/v2bL2V58/GPsgD28gMNX/k3u3DYyMfnj66sfnr12+ebu98+6oXQ5AfASRRhvFsjlDpLYG6dxZDIC0nZOCaGknxmJriJz4BgZRUhMhyYLTYJYfvaC/NNbf/uVnv/LcQekW0tAJGF7MoKilxUU4lYJ5sBJ0eXmX2u/86//w4wGcm3CAKYk0L5QbvRrGjgAoG13Fgop3mE7ZtAhSJPKrA00J2UIIYikj3JGMCtWLIBuEyQsfdtbRDJzazfLjmI+3U3/v5efqVlapLiXBqtjXbt6e5grHWkixiJUPvHBbEciCxAr2RwLtX4zF0xuLpIwiWhuJtieVBdFK5RKiUVylamU2RtLgP8UQb5IRaNoniVkxgIpo5pyzAiYxxudjNeEQvlAO5BKQrz9AxEJD7OrXVprnEDKXZQI8xvvKPffRmQt/8cN3MUWBe1ppXFX9j3/9y//pjdt9g4NynvJ8JauTnxQb6ABZhNKaZ7SL6SqAQtM2YxlQVqMXGNKLVQ6gNM75yDqzNaGUDu4YlxO/yB7IaoS/yD5ZLvvSPOBf90T4czYxh0ztVGsrEbYo4PzPDIc42oj4xWVsl7ooLmPbkni9IkrJ0fNjTGMBljXli/JZCSsqJwrNi5YXk50SUqpIUM8PcFITpIrJAFs2VU3FGCCLIZtlVVWV1TUV1TVl5RWcEtUs/iE1KPWICp2eQOh3ZHR4cHRgYHJiAiECuYYFmiTpSmV0WJVpx4BX70JCgDCEQhJIUPC2nBtwaWjG6FFJ+QUcxYwyYJhmsOmVOwBkJ9OEC3UcETN4AS0hLiFihEXaYwSZakCcIpszThnPRzhzFIR09p8yMGoQrWV6Kn90BJ0AGhM+SS0tKS9BYLessrgcb5sxWpgRTs7wDPrwDpv83NDo8CmrBIMr0MwweBsDg7FYLqahnpgYx+BgjObB0Fj5QAHE2giUdaF7LZ7n9MX1qdyy2ANw1WS8lUPz4gLANGSh3BmyEfmeRo+CkZdT6EyLy0oZBi7HaOAiBOS41jJWQeFK1mjJ3vZQVlx/PB/Sfjppr9GnFq3pIVgjulLlAMia4ndKSLi7cDCmkhuBuXARnbkySxGiPNmc2ZjQkv+fvTcPsiM578T6Pl4fuO8G0LhvDGaAuTgcDskRSYmiKB4hSyHt2pZlybYc4XCEvbEOWxHe8BXh8P6xsWtLq12tVyvZEnXwkoYiOZzh3AcGM4P7aBwNoAE00Lj7vrv9+31f5leZ9areew2AlOTtQqPqy+/OL4+qV1mZWUoLBnoRitFxLAFRqG1uaG7EXW1meggdJnvNiem6xpkmzEpv0AFg0RpWdYWDPgK2UrUTTcPoMRXhT3pir5Xs1OHTgAXUTPhs0Qb/82ds0vyUh+xYyRoJvgRILHhZXoUQIgSObRSRcxGQE2eKGLKxabbKuNJS8+lHHwF5sInUGiYbkBrDCsjPnzLKEUsMQJ3cp3wlsW7Hs7N+yyHNRPmZZs2lZvwDMqmb+uhjUirrz3Qzi0Tr1M/WJR9ziQV8w7SordXm6gGHL5HuDAwODA97hcLnrHtHE1riFXDOMcXJe0F4Q9dpF28Lseg+b+h37w3d6R/ESp6qBnFraWpsbWkSIxJmabMacH3TBw34x7MfBktcSMTwADLVe/PO0a7LurEobtLLl7Q/vq3zWNdF6VBUSPTQSbqFBN2D8pmq1vam3VvW2/AMnDyBObm3MBna3XPJGB/iqWRQ3FCiahRYHRfXWUegSTCxEskbTNTgyQZDtpd6b2HnQrDg1fzmdSuxUCrewLsyFQ+8G851cPKhoGp21bJFG9euxLCxqsduiJhPfO3mHclgzuCqZoALfqa2/XNGRFb1uSBoIjxTB9hZv1hDWPLFNYWZd0LwWzt+EaSQkHLEKASSUlWFRDLIPcS9hiD2zpozLKHHcxtkZ/pu3/vxB8cwURX7biqXLgR97nLv9976GB9tqDY5C93lUD0xvQ4Q63iLB0NS6QmQpDcycYjp5H+i12lQGoyglhYRvZzwhtkDDFM8AJmHnqNIj3KSWyQoGgxdACnlx7LQN5LEiIyeKIUjUOswitczggBpfDPx2iHMsV5me3tjDBizNrsu9n7n9X6MJB3YtfETj20Nx/8+PNX9o4MnsItwqE3yRzek8nu/xEGw0TkNWSgzZ9jHywsykj5nHkDNn8Uj+VN7Ni9ud4urK/vVvjunuq9gcVTh9GISYWUQvPuZMj0z/dGp7uef2GE9DHga6mr3b9/w1uEzGACWHAKHnDHX5hmUSEmZY/RHDhrBqI/3k0k7iHYEart9r/+7r33YuXr5lnXYD5WNHaN9X/rkEye7r2A5YnT7UnYq7eVoRYJsSgNAekUuDSOlIEVE/uA3mcUj0kE5rD4dDqVjB2Wsfj84jG2kqCxk186k6+LV67fvL1vUrqOV8Hz/jk2vHzqFwTzmLRmqlRob2IW/GgPinHZnwxGCHHkWCT2boo4i8UIrrjUQDIRCY4BdkhfJiVySeAqaOKj40XvHdm9Z95knd9lQ5ZIFrV/+9P4LV3svXru5uK316y8+1bl6qRYWBPG1wV++crD76nX85tRMiRtqUVziSW+4hLTOiEdCJbfISRzeOXy6vdD8H375BWw0EI4Bgwnhbahvbt/QjG+nfu2Lz2NLiAtX+uRbqF4sxt3T28eNLdQDV/w05noO5FrDBhJcIywdCwUkpnRDnHKhkjgBVoVCtRNw8k8VqYB0MeBQ/Z5VGaEFH4r/q798tam+7ueefyLsYZQRw8AYcUeQMbUaIuhwsMDGka7Ll3r7cJPtvXkPP3rIaV0OEyx+1mueHaRdk3DhFzlfm2nVjxsAhXnQfYWyz1Y/isgQ01wXUWJEe2sz/mLcI0hhyfrf+7O/OXlOtnVnLtgQ6JHvkZAvPNLgtipoljUB/7yU8oByzKretqR6UJH8U3kkaUAP4fWJ8Co1JYxZIuPEtaRCGYGxlNWvf/VnXjiwM7XM9btHztwbGMIPXqnFUsrIq/NFqwLkaUUqZJHeqqrOjpXLFy8q8sM4c4vf9yrCWV11A9P/h+CJ2FYhKGXUvYbAhmlPAQycxIh430xQUPxHe66BqkpwWg5TeoqTiVpxQwsig03LWQmp8vX5CKSgKyNXzIMz4Iz96d+89uTuzc/u3YqN5FT8ie0bvvb55/7dt1/G7BBmLMxLhsrAZrFFCQ85zOGQPQvevHYN5qXQaqwNlsNcqiPaNExNmMQXqzfvJEsuRbmQKhdVElMxD8xHYD4C8xGYewRyBoCjXivUKr2Z79LYzwZE3JvqaqvbMU5RW4t5lryJBtQHBO3uNRf5VC88F1HP6zIW5s+T/FUGSfG4p4MIfO+CsNHfUkLCRFZlyuL24qnwUih9eNYQn4UL6FomeC7jZ/x1GIbDfo+F5pY2Dv02NjfLUr1yTxU9fJbnxNnpSazJOzw8MjAw3H8fC//i/ZorXytj+SWjxs0FAwIHDDSiB/Rp0Ohy7wRNyZ7Jk+X5k4lcDseJWdqYcgqumSls7ZHs/juHSpK2rZrTWBfZ0GFjAQCyxcq5ZmSXTl883TWCBxVPq60o7W0Ls7XC7Hxozuhe4qI8Czm5Gb6PxZLh4zVDNfcxGbuhrr6pubmpqbGAr0Xw0wyLBnDRIlDwFak8RSGIzgE+kmJVTbwTrQVLQ1NLy/TixVPjk6PDQ1h4fGR0BHOCMQyMwWYpXLAnPuRlNMqbMjlUBiVPieIxKItXKBgkQw51KNrV19JiFVDxawpax6bHJicmMQw83Yhh4FoMyyFWk2PjQGLRdRkGhs/4c7lOZyCdrsDwQ7I4iw9n+OGkXQ5KKZHeCn0CXpqhS6jHjyPUPMTQV7swCKqnlLaQuxz8IHpKypQkmjfKlds2QObfLBYyrxkZG8dqEC3N2AwYy49jU+oqVMTJydlpvkXBTsD8IUl1+K/6mMg6GM80nu2b+FxPVED1OwXBrcWpI0HNOxbFO6XEoTTBoMXpndC7GVk9xqnjxckGGFQKpyBEekZvGFcTFYEM3U5/TPEKQuXgMGUhfh7+24sAHxTikmO9EoxrB46KFND4XgL7rabcRaPB905yb3JFjKoiHQ4L3N+zkqIHFYfUECqXd6fEiKWEjSSm5L9TRzY5nCHA8Mq9r5M3POK75MqJ0G28+cXmf05ULhiewVCEx4hlnyh1dWbJrzLy0pyvm9jwNQGH5QUNFjTGmnuhNmzl1VZociGXiyrSkWr46YdNAdLt9OGwjBxm4x07e/HFp/foKtBYiPaJHZu+98aHt+/LIiVkUWmxwDeVPHCFjiUL2z752A68/lbk2Uu9WD9Zll9m3ydjz2nb4owiWRzQFLhHreiPFEV5sanKw7Mx4KHnSt/tc1eu792yTicBr1m+eNeGtZiGlRSK2IFWW+RXRn/5znDrulU7N6619Z+7r/WdvXhVJlvDcLWPYWiZucY/KRl5NxgQfUZ8jhg6ZiZgUVAwxLOgtVpKlDUgjl3kyEl1YlMuigHS/ZIqUi6aIEPFIkYOJ6U0yT6QEl6hCD3SxNhLc8AVQYanp85fxQDM2hWLVy9z659jMczPPrUbczGPdHXTBlXJlXctvOQW+8Q6gpL1rP6hfsdIikf/kzyHjAJL5ryGKHQkR4oFIf6JdlGqHOKHp/gciHo7ARt2C9RNDK++7IzXAGfeawyTClPenhAwPvX+8fObOlZ+9cUndY41qNhX+xP7tnVd6h0aG8emy5j7aNovXL35w/eOXrhyw+snxbsE93xPaQJFQAnXi3gjRGgxIgQRRwUDG9YNRY4wgBSyYUD31t1+/ChmFCUS7iJMQRaYHbwawSrQmOWPpZjDIbedmzs2rllx887A+OSkivgsh9lKYPVHzanp0CUPgx++0B1/A8JmumdfPbh26cJWW3kbyz989dNPXu27e61PPxMhvxwGIBBSNb1eu4pmsGnpaIqN1Fs0RgBOAy8zs60tjZ94fNuSYCgdiz+fu3IDe9My0BZKUaDtDssYdPf0bV2/qrXZdc4ojs3rVt24c28MM/plSIMBSvofZ12z4bLA24mANMIic0zBhfz4x8aOwJEgjYO6lcujnYypUMAlefEUaPRJA1TtnfsDGJLvWLFk58Y1Vh/279z4mad23/3Rwc8/+9iuzWvDkarXD51471jX0PCYKvda6Ym2aLHJpwYwaA6ExKTzRmU0HLOz33v7o/uDw//gS5gW3lm8fgnEcOBuiJW68YcZ2Pj1icFgPOecONvzcdfFM91XMSo8ghm0vLFrPZMLA8gbn+DpiAsnO3Ci7QAsvhAn3bdRDFA6GaQAqJfakGZPLiaUlzcQV3r3+wf+2f/z0vU7/V/9zJMruGO3Kztl1LM25KYlCzHrGn9YZax/eATfc2AwGM8PZzAIf+subxa05KIphiUrvkfCbQs/IUUh+CIrcKV8t6Wu5J7Fdi71J07AdPP/6xvfe+2DY/jmXloB6xcD4sowzq+WpC9rzxM7qRlikeJg++I/KeFUEQlOZB1zrEcKmsWtaLt4j1StyZBeXb1i8aJf/9rnvvrZp1oK0Rr+t+4NvvnxCew95oyyhKnI1WBYYdUKDm/WUAd2bfrd/+E/K0IbvVJgfHLqf/79P3/zw+MzmFnkDvguzujFY/WKOoZXGTGOKcg4McYI9ZCZ8WqK2R85hvFODg0r7UtGJEz+nhFzJjICudbssGC9c2/g337rFSyKs2LJQq0weDfxD37+hQ+OnznedZGvpv0jSKIp3wLU00JwqIdaIcVZ0MhAroiRMvhG81//k9+OFRD/AMf/8Yff/dbLb+CX1wPIzovMR2A+AvMRmFMEot8wFUoWdYBerrqqpbGuGdt9Vs9y4cisG5VnLXlVyQfqUN1DQrGLvONUdjjZYhVpccz8w8gU7hx4PS63Crk3lJLj7Te4gQSsSoGFABeyBrYDjgAbCoboGMbzGm91KCFMyGxsxsBvKyb+FlrbdC4m5sryRog/3D9xB0U5Yu/R8dGRoaHhgfuY+4tVaLFVJD90xAHVGlXvkV59KrYcpUJGqPDvOgIejUfIlxDdk3iCKJF3PJTjBxWmOGOch7v/yvRfV0kCBblgdmYMC6A4DPKUoBqVUbIYmzANMTqUEtg1AhoJj5LiYCxHD3VlwU7emqCmM/KRJaw4rSAKs04hKtwjdxpLRU+OV9dg5BbjmfX1GJtvaMZgcAFfIWCBaNTDmnqs2I3/mBnM6goNrLKiSDasqamrwmak4G2eWrhgChsEjw2NDQ2PjAxjTjAqJ/fKxSrfLBdXSdUH50mYAOwyGkEpltJJ+IlOgHbx0AZt+EsXVmkFRVTV4B3D+8qpCQ4E105Mcjflxka8Im/A3sANujcwhoEn5GMMtNnYttdQZOAng0jMJdADWnpIBWXEPRlXvq3wM8lk/SokU78/HzALxWJiLqhvxRyZGPU2v0r53GQKK1It5zLEGmbRQCenakaw4nNtDb+3aEKfOTk+Mc1WNVE7g6Xcaxtqp8dtwQu4FmsIDGURBMemrY0byfzMqSr5MWaqFOBPWdcpBPaoilhcKCQWiv0zVYFkwqViSGce2WYTVr4vcPqLVCSkhB9QyEcW9T9iCRM5WkIWB6PXDDvhDI55VMUR8LcglI8r3wSAEo8EhCdf3gvigxsD4+sJFp78115GKikYg2ICNThQglo/7OUY6XRAnRCqB1XO9V98++5Ar098VK9FA9OKIwcUc9cGP+QJDL4uwkwjeT/uVVR4VY9UKUXUHEygt2WjlFbEOOBnAvZ6DLXiFS23r6Nr/CeSAPSdrgSfOZBXXcIQygpsxYJpUqPHzl/Cm1wsbgkS+jMMt+zYtO6tj06qlM88QwUMkoBwamlu2LVx3ca1K5QN00AvXO27fL1PVMMj3mjTh6CEgfmKqX68l/bEgDJLDmNOplB/8HyOVab77t4/db7nU4/vwG6+wOMN16Z1K7Fb5MAQJkfSYdVm5uQnF1VjQ8dtmHS5iFOHccB/DGBjwpa8v4QgoidZV7Ke1SUu7owxUTip+o1DcsaU8jnrRg4BBNC/NiW7VEJIhQqRVAy1yX8pS3bpTAHHMYBsH52EsCkLNEPKfX3H+EllAcZrU153pl6q5wzg2Wru8zc2OfnukS4MKX350wf4iZNUlb1b1j+/f3vPjVtYBV300xYV0hqv3vVYubpPXhGS5uuDBZy7aVFelUbSQYJF5SdT+bIOyayEzlaAVrtAmIfiJhBh9L0AvUh1EZ6Ud3UmvWlLhq4QFgaX71t377/6wQlsvfnM3i2qFy0Rc/Fvf/oAHtWf3r3JRrxGx1EQZz48eV7n3qkV7Su8n/BZO0sDslyFC1kZBi50NEsywTE6WsiSISFIw5mdffaxrauWLrDpmCBh3urhrm5ssA3YBydRZRBIPiNV3JP7wtXtG9bgwxRjwBj53q1rT1y4Mn4fnxBpAVlOXK5QvWWQT91zTrpGTVelbzSN4g8UoUIhcHAAf+he8DCHhaAxrPjsni26kCZ6/k8+vgOmv/v6h8knJuIDlNEVHnoW0J+UAgaWFOsl/+EqJwpKll1lcMzURFVb1q9ZvXQRfkJ5ZdiiuBsT3ygmDHomVZ/Lqqow6Pjxme5n9m2x7wmwasVj29ZhaYex8QGpHeIFQ00TWhW8HsEwof9A1YFgYQxOKglGvUUnADPIe7jmVQJiBRTIA6QK/5+UMOsKEysH2Q6dPPf6oTWYDL3Ub4aNEvmF5w9gqBUzg9GlO15shNxz47uvH0LH5POgzjq6qHZee0fFX++BWRRO5IxXZOqdI6ex7MGLz+zFAvh7NnfYIttmNwR0MBiYjuWLP/v0HgwG99y48/Hp7o9Pdh89e3FoZERqOjSzEKRGaPnJWfouXzrU6jLgHQoNhTDodJWVA3ohpjVNq0aihQo1NMKPqb3/8s9+gF4F84BxM122uD1zGNgMYTx4eUP78kXtmFM4PvFJDAZjHREsS37oOFZt78M7DEZTQpbVF/HdmKydJ576nJnyRwq4sD1SnWll+D7vnaNdv/8X3+/qvoIHiaSuSwRc45JiwWctKBaCLB0C0g9YuaQ0s4ik6vmiBDu18+GDrGrJZ1HLM6VicHRM3jLzHaxzjAVjwoSUgBLDZw0rly1as2Lps/u2fe2zTy9eGK38TNYqNIEzh0+dx35HLGHXkbFHEY/UPXDRVKY/wKPypD4MAvIBDnyFgLukBCSWRv5cHhO8i1iCCCANMxCiCyl4zzMvGhxtRdJxBnIKOk6K+JKIeRQvNGVIs1kpa4EisC52rsBMs0vn2KHV2IfZ1w8d+darW/7Tr71oC0GvXLLgv/yVL/23//TfDAwOgVkfFEQydjqVSrnsMsNI8R8O8Ukip+mUPJ/M9bkxTZh7OqPE565kXmI+An//IyA91N9WNv5Wjf80M505AFyyF3IddeykSKC7XFjAmq1YaxfvItjz610nZi2Zcn0xb69zPZzM3AUTQ2Y9QeVDGFrEDyksLIxHQjwUgrGUaa1QypHFZxQf3phJsTHOXMtBG10BxgdDv1hSFxMpm5sLLa2FtgVNrS11mH9Zz7kpuGXyJQogbgKGYQDMMhzHRr+Y9Ts6NICdWDHJEjpIR3EHGarMvvcicUsylSOs6DRRH32IFYp/6ktUFkGSX53+i2Ka4uZtlR9p85A0FAD471pKiE1YwK7lVrHF5NFONPKU1hCaStOcHWOp2G7ASOFQgT6QlewRAuliUHTRUf5sIhmVhxUNb5enpqrGx1DZaoeHh7EiNIZ9sWlwUyPWiMYAZwM2D66vR/Fxk22M+YoslEFWjdRhK+Hq+qrmqsaJQmv7OGor9goex5zg4ZGJsRGMV2GfYFgRflZYWA7z5TMp3YYoV7WVnzVn8A6bZ8+MT2C93MplcznVxbSjCJdMMp6a4jAwF4VuwEz9hqYmrM81PVE/MYYx4El83oAXm1J68jMs18ajJiTeJtAD2nhoBb5Y8+wXGSBCfiqgDmRWA5XIJOUZSeHNpgEphnRS+cpxl6OHWrN5s7BoKVjXHyO+YyM1zS01WK29EfdyWTt/any6vnEaC3w01teM41sOE0dwPKxx8ikJaZIQj/TWAaTgXRdODf6/cqEKO0Gv3V19kroTmEJs5OxlUgaF4JWJcjtBIiZ4hf7qOFPJRB6Qo0GPdDKR8Tw5U+AACIE1PCjJflJ7rpCSC8eZifzIlZkn5EWgfPzcnUgqELn5eMUr7myYQp/Si0EOe2Ht7kZy4ckXvSK8YHDjgm6+4eLYHC2woJ2QeukVelHhlwRVm4NWV4UEUZqQSiv68VEg7mXBgRvK6NiEiCdY5U/SWZB6RYpAIoLo4I0aUaza8hiJM0bKR8cnTAfGVBoa6vjei7dlscyTJCjFI0mqdhMWgKzCiBVDcD+8fXfggxPndAAYyvGp/r7tnW99dArv/UU7/VE5NaY22wqFXZvX67xhUHtv3j1yBtP77lMxA+98EMHoRDK7H+ZTDirnuKzkmTniMwKRzAlc8E4IM0+KgQh+W6Amneu5fuHqDR0ARhXa3LGic9XyUxeugs85Am2SZwyAqhL89lqzfMnW9avNf6yYeuzspdt3dS9nuldsN7Ht+hw6aRVG3FQMLTML6Z5T2IVCA0w5DfSUaYcOTWsmSJIsCEm0U0TFqSg4yEIHnDKlMC2DvkgGo79ZIzuUlgMuIfw1+Md2NYM5XpgEvGntiv07NqpSRO8zB3ZhKuoP3j48NU0TtIvDOSuQIOITmZQzCAL91f+qRTWRz5daWgk4kork2AMe6mYrSVHoGw53UZN0B4g0q1MGdFxjFS++04QDHHfWxeXIeZI4pGrZb1VVnbl45eX3jnWsXILhItWBSe2fe3oPQh++OcVmnD989yj2f/Wek1c0QK36AmsOAEZUkUQwsawWHsHZYqaAnlcuXbRzw5qWQrRYAlaHxwrxY+PJtyypgEucmRtxm75iQPajk+exHXI4AIx32c89tu2V945jzXZ0Ahp+U2WNAtrCP2gDsxzMdVEkqECUgMLOFY0F3cv1W7e/9epBjL9uWrtcB7PxG+wrn3nq9MVrR85c9Iufi0LIi1bfyogMDpJRW3XIROut+sB+nL0NeBVBIYHAXYUVk57du2UV52W6AeDrt+6fOHdpiOs/83DMAlASBwp/tuo01j6+dX/lkoX66QDcfmH/LrRfLO2ARi812p1ExkyrRlGrOGcjNCASevJUsQoUfU7VPjEWiGSCiX2SISIeKKvRqvCMjSH57Rs6nn9iuy0EvbC95Te/9mJTI+6JLkT4JAtbNWN3AHxxTG3uv2qDp9oq6Kj0bASAkgt4knbiYqH26RL+zd68c+9Pvvf6Gx+dfHrXlhee2rVjQwfmiNv3Gd5G+qqDwZgZ/MT2zqEvPHf60rU3Dp388cFjmJPND+6lB/C1AvbYb+Hsgm6NmEgLjroVGRKUOioq2BFAgPLIK85OE0CXHdWoN/rZD4+fPXzqwg92bnpm77bn9+9Yu2JJobnBRSuyEyV0MPhzz+zBzGiMBL/x0em3PzyBYUIsOEb/xbjvkeiI98KB4FGvQqWoVpX0q6FIFsws/+QOnQaNnL7y7pE3PzoxNu4eaMUqs+UKUTyQ8DPrzH8YA+RUA1DSWakJjImEVKuLBNBL+fJMZ/fAzk1/+L/+V3irlybEabxDaqivx/7ZeGGLxbGzhlUp8NHpi3/w7ZcHh7nmDSxy/BdneqWlKO7RJe+Wr60U/uke8KC4XiV+Bc6Yr3CWUpIdnn1xBbzZIOUSLdk8eQyUM1kBqIt1QrokCW+gUVwM0gaqD5QVJZp39Cx//N0f4WOsx7Z28mlZjqf3bPnFzz7zpy+9LvcvciOziR5qMIcMzdjQhBxJn6D2kjTJ2fIqOX+ej8B8BOYj8PcqAsUDwHGHV1FmXA+LTritCY+L1Zhryf406HkrUsMeOKN3LisrMu7eUJY5l2GO1nFfkScJvMbBU65M/stVDYLmKyt3RbgYgdgCEeNCQ/kU45KyqMI6yJhu2VBowXBZc2tbE55/G5uBhG7e1fT+x+e6WUyinJoYG8ZqzwP3sd8qVu7FvqPQxvLE/9ijCuwnjnjIVZi8bBXp1CcwhMFT/FOiV5h9RRHxe4S6OryTxYHhwGy+Yqy3E1AMBUADQfcV62juIvRAMgaNKUBL/kBICsFHKGJyCTDSgYDkwSzdnlb2SmGnwBoTSjvLTlldZDBnAMT+6jOZnlHxMFSLP+ydBQwq6SCGgbFIdFMjjobmQiNWim5CRcVIKwaD68CDAypZYyVeXFC6sb6ppap5sm1qwYIJ/FgZGx3HlOARjAQPYwo7B5v54S4dYnZc5ZFMxo5VlC/PBCfQBdRiCehq7ALOr0CQ5UcQLq8/iKCipKPB1sA4JiYxAxjDwNgbuLYJE6nrsCswdjzCQu0YvdOXoA/hSuJBGciKOCnsMhK55ERVLsvDEdSAq82hNVYmVoyiqhAyPZjtB9FQUqYkMfSxPGMJDg74Tk+MYJ5+bXNbSyM3A54eHx6dwRcVUzMNzVXNdTWDsoyoVFEXUrWORKI4SjjvlFvPyonAOxFC7AqRVAbKoHgSjYLwJiI2CoqQKhFrKhfaEjSVBnSoQzenvGbJgFjCp/SqpopYY6asFMxHUuqOcJKEd30gU7sCWSrmcT/JCMi9Qgyw9kVlBax7WHJ0pgUpacxqnZ7GFoaasDPGNZcsWMBClZqGC2+tKGwpeoGMVwGHY32QChqRKUWrKo0EVfHghRWHrcGhBO98FN9JsSzIbdSx2H5ami4+Q5D/6FKpAxwhgw6AsjYT615Mw656GHKqUhHXEiARkPBAQpOCAFJSKT8ESSGMiWC0A8taHu26OPTiMzoairlie7d0rlu97PK1PgpKVqhOxHR4A79iVi1djO05TfPZnuvnLl3jeK2gNLxGVUBI4hAjr4yBh8wC/2lgmBNhiYvIoiZ8M9UzNVVXrt/GfK9n9mzVVaAxP+zx7Z0fnrxwE6PRPLxWlwMO7eAhaeemtRhIEAaezvdc77p0jT9SeCDqzj1Jhif1DzoZF/HN+endVmYRz3oCN71UwU6VOWZpur7ZtFGPJsSknJgX8OEkgdaX+mowOoOZ/P6Q97Mu4UvIjQczOOlDTME0TOHnG2IsXqLMZ4+fv4wxpDXLFtuKxJgv/tknd3df7Tt14YqUF4RhDt/I0gUby0+bUKvqv3IyCCor5iEg6nDNfHVtfsPLVCumLdFJwB8sUa/QiLTEw181VXRO1UBLAvAwVNph6g0jOXJG/CWxCf+RqMba4+8e7drYseIrnz1g38FolTZF2O765feOYiFZywtI4gPVIX8ZoTDhFBC6nCJVlhQfNBtBZqSGbu9cja248fVpqOnImUtYzGBhezvjTWEpj0SUvHSKYfX/qquu3LjTd2cAY1HhGBtWet+5Ze2Vm3eHRridsAZQbdmQsCaDs9Wj2KRy0Bse4gI4GUgdA3738Kl9WzsxJ3Khn4WMUdVffOHAtb67+CRCpEVOahGhTPVEmqcJQHO0qXYDZ4EVXfiWZdemtdhpxGiHuy719N3B0CboTitrMDVADf6xe6iu7r56Ax0aPuuxHZSxHzP2Er54rW9weEx7pmKzVIhD9PAqBtxVKEUncFh26LLWQHFDaxgdo0Z3LlLgETRFNtr2Z5cQjPBVV2FS73de+2D96mW2N7N9xCMcPB08ce7tj09hdwMvKLqNLBbET3PTADA5ZhdccQawCPnLbBVG16/03vzuG+9v6VizfVPH/l2b9mxah6Ho9ha+3TNTmQAcfnLnxh2da7Dzwl+9duiVD45hBoHEyN8RYFT6XAlayiPxULzJVK6uUpsUhZQIGKWamSZKurygj4Y1STDH+N188FjXwWNn/vivXtu6sWP35nVYy3rL2lWYDJo3KGhu6Ejwlz+1/4X9O976+PRfvPwutlTAmwVfKcSqT1hVMXH4wEw/6CEFVakw5uyOTmB8mkJzOjDzFdPNe67fPN19DU0JW3FfuX6T217kaAJaBkV9ziStxeryy4s2x7QjVEkXVTW7eRc0J5LEyvOkNSC9sK2AvwzC3FFY4/p3//QlrMqPp3dII0t0RG6scvb9MB1V7Q8Q4Dm7lUQhX5R+5PHBVZC1JsitVLyXPGh9LI62r8P5BkmBTl/qxliqwtGOeRkYpR5xzDlJ//DPhdhUq0WlJcjZ6hu37/3en3//f/rtXw0Xgv6Nr3zuo1MXTp+7JN+eyKNRhr5EjcQkSdIT+upjKg6h+B1bGVWJnp8E5MrwJ6F6Xud8BOYj8O9fBKKfMXrznmMQXFeJZTiwPSWGJNBT4oe4degVacvq8UsLBv0we+iHOuZuHebwngVTgJFNvFjBOblhZLiS418RuggBXYrD2d+QTH8WtxENwD0DCyBjXK25vR0b/TZhzefmAuYO8okGh76cox0eeO+PFZ9HBvqH+/tHhwbHhoeB4UB3aNx7xGuIN5MZQJGvRQgVKkLLww2wWkYIc+UHJsxgdV78YkFOsaaYHwKkghJq0h5YWgFIumcBTTuyceW6l8NRPn/FglneF3PlepIiJJKArClk2UgJZiUTZb7mMmBZnB5ndUsBzgsemRydHUKytk42CMbeidgumDtVNzU1tWLUE6tG8+sLfvXHn/mot+o3BkPr6lpQw7GyJGYwTmBxScwJHsFi06Pjo8MYIOVMfRz2HXtJx7yDWVfpciDNIenaeqyZiK9AcMCZB1EZBi2xlollkNBKxzHUi5dqk1OyKDTmTuPTjvrahsmp8dpJzNMf4+caEpYHcyhxIhtKu5ZOZ0vlYR9OOtGqejIKIDJgCQVYHaTS6+c8D3srSbzx9T/ElIHNtRy+CujIfTkuz5ERqMAu9p9G/RoZQ83iJOACFoLGmDAGgCcbZhswIQGVfgLLZ6asyT0l0JLrjhLSLsSuCw8spLlMf0SIblHGAo3Bm0BqdEJ8k2hcBEgLEJY0gMSQQ9NOnW9nvjsPNEVgpA2UdFqZ+ZJWIJwD901TthTVuXdhxonqbR2sIeeBuUbA6jk7VTncRzYCE0W8lhlW3J2RV3DTmBmjzDgXGhs7Vi3BBC+sry5VVYqFT41OyheTS5ogq6x/umRpcqxK+nYvCE40O7Pu9CZVNSGZTs2FZEUqLN3H10Wzqa2LoQrfz5mU9zBBGBQDjEdxFSWWeLZoyRBzg1DgCz2huBO64wkMADDl8qkgb648ZKiD5SFUh1SSO+M+jDUYNXdj4xPnenoxgPfUns0g4/11x4pF+7ZvwFqOEmiNBAVdNKpm2lpawIA3SqpuaHTs1Pkrl67fokVlZB+SYVg0KIeK4mz6xX0KEeM5jWr8zJX4DxPIaQ2W1sSKms/t2469IcEE/7HtWeeapX1371nnS8dUPfXOrly2dOfGDlsylP5fuIr1Zr034JHXtolNB4l3Wo9CHqJxiM/eYcYOeEcSup3ojquwkCGncEe8YULcpzSRkBBDLkl06ghdIL+TUlBS2jSlD6Xu9CGPaUDyp4/O/8U0YPChqrx/9Oy2ztU/98nHbSFobMN54UrfNYy3Y1lasSH2pBo74xn6ZT5K2rJzVbSoKkqmuRwC6KBNk1HDCAFEU4XQeDT3SuaZY9rAGUtCKQmxgPSQrsnaI/COJHiy8JdusdNCEWqSH/GNHkrvVNV3595rh05s61z55C62xNQxhsWfj5374Pg5jjcER3j7ElUBLQdMMpPDkINOPFcG8V9ro5JQo2bRH2L6ICY7ppT84mee/LnnH08hyybxCI81CVKDarhH7N++4f2j57CCPWuBhEDPsUJ4pX90EgzisD7MRoziveLdkAYE8QMKP4Ow1+B3Xnsfe+g+tWeTDmnjnoWFoI+e6/n+Wx8P0gHNu+l3yciA8IDAHgldOxu/psjlQVcsbGl0lz3Wzk0dq5e7WbzgxODTsa5LA4PDPi/CZ/ZFGRXy04uZD092P79/pw0Aw+39Oza/9dFpfnpFN1hL7b5JUXEyOBFD3eKQ0Qm4w1ElA2C1ux+zJiZc23BpL1b2qhmiWRxaaCLD6GF89+jZVzdjb+ZP2N7MocKrN+5+85X3MfvZ+y5E1ahKJMzQKu4iC9ZwqZxBAZv8FyEzr1Fg4IWOMxYBmjp54TL+vvnyu+2thU0dq3Zs7nh864btm9YsbCszGIxhYHyohHr1xM6N/+6vXsc2DPz8SKoCzfvbg3hEg2qVgIcUJ3myE73y0uBkFuViDA4QJaZMs+aTYuJO/8B7h0++9/HJf/3n1etWLd+6Yc2OTR37tnVu7liJjW9KTBLVYeAvPb8fO5f//jdffemNg+i4xKrzR2HLlwfouKsuaWcrTzM0lRzf+ME7f/mjd7B2C5jiSdLlAABAAElEQVRZHZJHTE0iHaHBgnshvrmYmBjHmxIuJMZIux5DLSY1h6LZB6RYIlq6ll+GP/9QmtzH2Gu4QqWSSAYpX4wR/hEl3j927l/8yUuHT5/HpyfaYDQX6g/OvIfRo8CrAAy9wOj7/aER/4wRUuYGYw9g9IeIB8VczBM4KATnB50sfTAXqP3Mn2RIuSnFzOIfzpr50noCqhp1JZNjH+iEjVVRfBeTzgPnuctTsRrcJcEOLmdIioG5wL/q2Vfe+ejA7m2//gsvYDc5Vbhq2cLf/Nrn//t//kd48weejEwV2wgyRVAtmbfESPisKFL8VVVne26kvgkrYqkI4WqOCwbqnYcqkp5nmo/AfATmIzCHCKQGgCk5ly7H9eeQwo/ehS31WKoGXSWeHaTDrECT6/3n4HHQe7Offqhj7tZhjrcC/H7iAtA1mLrIIdLcmOX4V4QuQli2sihZOBMwAE7Cy3qsqtva2tKGDzgXYmwMY0UsHzDh9x/uLigiKawpDCiNjY8MD3LN58F+DP0CLQriQhTTldlXRwLeADQnDSgieoSWkT4JGXcFAPKGAUGMfeOFEEYVdVupbDlvKqAqSvMOGEASB6U5IXcJRCMwn+wpJfMHJvwlpiPdmvB6MkilUGkxdaOkJVOXxWVuGpDFZSpKAKy3qJl4R4ARqEH8jOGrN1RjTAVuKBSam1saWzAgXGhoxvfIdex37CGJnY60z5qqJmwr3Fxom1kyMTHKMeBRrA49PDYyNjE6jAnCHKx1cS8T3Qw/YYNmIFiNPROxXLpM/4U6xWZIZKNy2XMJXg+bLbIwjj2PJybqJjBfGnsDY6SOM/zrsFFrXS1cwjDww/8O8RaDa+RdlAiYKgMfTtrZyFWSS1BBVE9yoCLg3QTG8K0WVeZ7Ka4ylotFSwqUJKZ0leEtQ46UoYHgnlA9PFpbh9XG6xsKjeMzaJHTdVNTjdhDoK4GO1NnVHnEEU0BzbdkPCNHeD8Fv29WoRcVdPuRKpENNLk+KOaJU4E55RZ3Eqxpc7r4HivWgOaoCJyNO1GQgryRFDpKigUwklf5I3IuFsxF3qUl59MPFgEtXN5ektJ3NxxXSMCThLdI9/qH8NoiHADGbaq9pbB0YfuN25hZJZ0Ne3EpYNR+V8jAW3FTlbQkR4UtUjmcglYhgkUtBgx44mkpFPBxIsXBJVJ4RsULQXw1pDqgSjLhTmoS91t4jrdO5jZuJwtammlKnniTsJm/CYqQC4xmwSVSHAyQDAhJJ1E9C2/DFVDxHRXefOFTPZpUDe7qYgsc/tjvSHjIljocnlhRUH3n/sA7R89gUqzOplq8oA2LrH7/7Y/G+YZUuMmnAcEFxdSyd9sGC8KlazePn7+E9URUHbu2YqOJD1Cl4UxQzhOaQr5UDWFxD0B0KBI3d/68kGl63T03TnVf2bhmuc6YxADwzo1rD5++iAoGUwyEU+SysHbF0o14ke2H1TGZ73R3DwaSPRuvwkqH0gdo2n+7Hs3RxYKrM0Tld8tUyhiIIiedcREfFO/dkCJ1eaCPzFv2IbpxkgMSrv4KJokqCHkKNLxwVEeJa2awFDSHTi/13sQSxBs6lmNapGpvKzRhylfX5WuvvH9Mnhm1/KE5TzflxKeoGqgrJqOuWVJtxWcQQw0GA2AZMUJsSnoFQEidox600NIuRsbwMxFpG/elWumIaBRweKhFPYd4gYszRIx6CgCDST989xhmuK5e5haCNg3HzvW8+v4RbHqdimvKuvEHgPcv6pQSZMBZAkzVFcuI+c+fy8jI5nWr0ABTc5ehd/GCZIvWEmYqJGFNy3Url/bduY9viViocWNkBWBh65kqU96nrAif4xJtGhxsCcwxYEy8/u5rH+ClOTYN13WG0U/+0s88g+1gsW68fDFrFhiN7IN6pV6Chd4yoYAkIER3eeDCmjmLbyyw/TNm7ioa5xt37p+8cAXD3sIJfq3Bkjm6jP+KYe07jcl6N+9hn3MbPt+1qWPj2pUIGu5zYoYtwNcDSOqhutUb74ojFV3Ii//V6CXwiQjtSzIAFVkkqAj6Kz7n0EGmBRxyZQSr8fXY1EuvfSh7M2/Frzql6xm35m+/dvDk+SsTnJTpREMG0SQNN4X1ScqYnAc0plCoCOPxdMpg1/nDZ84fOXP+T6rewCoa61cv71yzYgfGTTd2bMB+AznLRKMifeET+xYvaP0//+z757p7cXOX+NEbKJei8dbkKha9H+SKD+8oooq4amR5huNhN6FaaIECPqW588qT6M1evt7Xc73vlXcPQ+PyZYs3rV6+cd0qDAYf2LFxac5uwRgGxvdh//WvfhF3h2/88K0x7vchuYn99Sm4UILqueZ2lWzliGCs/fZdjEK6RWgQG/0nfbqAdAf/w6ipLhcvKZ8c7Z6xVJ4kx6YrT5ErGpClODVMKKHILZdRV3x5qh4Mj2Wur9++hy8qvv3quzdv31OHxQF2X1rLeOXTjDx7qxnnEv0utostzH/nX/zxvftDQfYdG0OPw+qCKwVXDNZuDcA7S23mJlFsriwGtvGnGrShaI4gqMmyGh6WIQwSg+IjaW4FBhhnJjNyLKKkif/MFBXMonOe+aPvvPz07s17Nq/DIzM5qqqwK/mXXnj6Wz96C78loJOs+QfIOmJhLK6kaEl7GqNkA9j+/Nf+8T8dGOLGw1pkaT4rVF+5DQFOZ04ArN+HIYWQSgYv5dVmxMeT5q/zEZiPwHwEKo1A+IiZ7maydITdtnVcZMQv6AXN3EoWc/jYD5ZVBp45HonA3GUTU9SSaErwFUBqFjnj6C9/NOPOgcfaYm3FGK89psQpz8NrDiUHHUoCRsFgydyGJuym2lLA0G9bW2NLKybDwl+Odtgh9yuMIY2NDI8ODgwPDY0NDGB4TG8vUoDeXvpqKkoAXgYsAZgSyKcgG7wD82+OB3VWz2JuZk0t54lisiQW/8FLnww1pcyDXcmRA4lEAmUo9rKZJIcsmT/THlmP1BlLhC2biMTClpRvqaxOYVDFD6slipw9+kxh5tTk5PDAYH9tXSOWhW5pxTbWDdiJCwvUtjTX1dbrSyxzVPLF39ScRNzY1LZoEWYAYxnbkdEh7BM8isHg0RFsdJpdK0xLCrDIIY+EMUcZ3V4NNOMNe4q3VNL0pJlyCWDMoM1isX08L44iI/Xj9Q2NWIGhHstBF+rbEavq2tFpbg2Mec+MwyM4Ig+ixNyUP4RoZChXTzYhE8seUTuGTHJkr1zCNMwh2pAxsSL9+ZQUaxnGMuSUsiSJW9vU2MR4XW1jWw1m4HOxC7yFmpxtLFQ11dcMYttrq1muRVCWv/DY/PTHnDwkFDsQ8Dt7GjQIQ1bfH4KQYkslnWSoQLV4jPCL8VxJFaC/CTPEJWMptyMGZ0KVi79SkKZI6CkFToYX3F3JWnQgXPIxthIw1iUbv/ImqI56AfHFJ1RT2Scuzz5/fYQR4DMU67pTCWBsbKL35h0s4KkjjkrgAHBrYdXSJRgARkHxT0pUb3D+NheWMWF9oYHHINZHKV/Y8aK0GQpIqrpzzcr/7je+vn7lcr6KwNMeXpBMT529fOP3v/mDc5eu0lP/QCXy1AEUDrwrwfSpcNwa093aZGlQ754+1Lt6Zk3f5RyKWKd9ICAjYHLyfGBRGgB8thROdcLTNLZPHh4d14CKMj4Eepd9Tw2lZsirtSuI6NKxOo9gZgaGRo50Xbx9f6C1sAwYjOyuXbl0e2fH0TMXkFQ1egtAuLCvwqa1Kw/s2mTazl+5fqHnunvI9+FOsml81EVtLtuC9z66Kx2y/yzSvEMo2vZnqrAWa9fFa596YqcOOzU3NWAUCqNo3VjFWrWJKvWwuakRo0eb16001Ri87LrUC8/UZylK74QxeYCxZp0Cr5W5C5HkwblMVTn9l9ckV7BLlUh0Ee2UCKCdPZA2NmAmREPRyQuLavqpHAaotzIM7FkjHR7JMWB8JME6KgM8qHl8fTh77Ozl1z44gVV5rVp2rln+uWcewyavZ7qvURWj7bVEqoXoKYykddqCFCmJWhJK4LxAqCoLF9AZTmnFrpC0tFwIWHooQ72JaH3NU6ePzL5Oo7fxw8BSXsRLU08Y1AdBqrVs/Un+RED4CXGa75GuretXffnTB8Ktf3tv3cPizyfOXymKBvRr5iAd1EgqS3uVgSFLMRuFU0eqEMx/A1jq9GR2z+a1yxa16UBpSskjTLa1NO3Zug6rHN/lvHP2z5IRliNA/GlIxT3ivGm+jSA546DzQENQxNnuXHJm9s2PT+7dun7porYFLW491Y4VS774ycdRLrhbeX1UIHCRfuUAlfVO/XUtninxOfFI/IDElvWr8J0KxtKMhLrRe/vuFLNA11zItQTVJnH8jzO+azl85uLWzlU2hMzl/beuO3Gu53Z/P379+47M1AtAWdUlF4KGiDk9e9KKhTVMxgIaWuKYZX/WNH/px9xMKUqjp2nBXLt5+5svv7966WLbm1lFDx4//+r7x+4PDqEYEm2AfB131wCjgnlnr8QHRdUSayWaKFcI0R8eGT11oQd/33/zEEbfO1Ytw830+QM79u/YtGJJ8XT2Wsz4/4dfeuF3//QH127e8Z5qKIv88g55B4oZ6CLvsFrVrIulv5FuHyKfNWryZSCZS0yRILWqqqrv1h38vXf09P/71zVtLc1b1q/eu7XzBTwNdCxftCC9TDQmCv/GVz6L54ofvXcEWwJ7X6ksdsdTfppXeIA/63nVdBQkoNLpEg6CNfMopYIy+XRQxEeEXpu0XOgxyjj9wEBVokyu4QmDuL5cQ3Q2jDWu8Rkk9GOX8SPnLr1/pOuDo11YTMVNDvHhogNaI+gN6hpzIV5BrVUzqUZFdjANlBvoTY4HZPUepUFZlzUBJelUWJYTQD/JcgbNLoWSWIju/AhIiKOAMj+SOe0gad2hnCMPeKEjLqMZGkIT5o4BXsB0pBUxmOCmp+Q1MjuA2WosWf8H33z5d37rl5YvXqhliKeL//w/+MLhU+fP9eAnT3SYbISNE4lj9BuBSh0ZOrgD28SEf5eU4rdSJ6A0K2UkWR5yhEjFhGeh0rTXERLn4fkIzEdgPgJzjoA9f/tepai3C1Tm09hDVxcasDSrfNke3P0Cce25M3rPiKcokQjkqS0SyUZQUaIsmycLmzKLJEZ/sRYfXjPgPQLvFr4HL6U/thyn1CrCC3QWpULH4RlnJdY3FgqF1rbmtvamljbMm8Sdw24edrvBwPXU2BiGwTD0O9Q/MDY8iEEj2OHTWJY7HuuIOZciriKEZVKBWE/ATTDxJWbLTbkHBMkkZkRigiZKR6b/BqO/WosDU7G6XALYSCtFV00lOVBEwgUm1JssVsUplyqMz1kyMUdeKpJM1eo8mfL4SGt59lyOSvRw5uvU6PD02PBIf00t9ghubG1tLrQ0FjAnuAVzgjFRWL7M4M+f+KgGCfWhZUH75PTU+BCmueOLh2FMCx4fG5uaGHfs0k5iwfwSr6nCfHo8peMTCsy4hZTvQ9MKknTaK6PkEsCRQYtQ2IEYs4Enpicna8cbsB0y9waur22pb0OLnhirw8x+/CZhQPLrlPmRDUTmokQ2fyb2QeUylOWqyiZkY6EXBB8TX/IBKsNwFgoSuQay+IkrKVCSGGosz1ieI9QXwk4SNzhsBow55Q3Yq63QNIEPHmqr6muqG+u5CjSn6mUdKswfzqVzGsgKc5AWEIVTKgdSdioItrCGA5n63YaX295ZV+R2KeoraDsw7RjNuYBkuEcM0ESYnzmox8OI3QYzxERtBn4eZRHIC5HhDXAirgK5qooprLfvDWD32ZVLsemvO/C8uLCtuWPlksNnLsgYISuV9jnhOemPVE5aEB8v9SVZMuIj0kWtA6oWtBWwrd2iBQUulMmH0+mxienGhlvDbkdJ1ivx1zcsl6yanJzuHxx27sqlsaEe26AWmpqxlYK/tbm24HtLlxR2qlW8q3+sxKovgTQN3zD6hi/0Fra3LmiLJs8hephvBDYVlbM6zAbOP08rruXKLKJ8CQufcZ6cmuntu32063Lnag4AoyCw7CoWqDyCAeBEu0BVVa2F5se2bVyywM1Lw2g0psH13rojbmsGATLXTkAIwQk8LjYwrYfzXhKKBEYAzxHIQ7GOReK3Bb4tQ6eFD9/OXcaefDfhNhjxzn3L2pWYg3WBq1gzBqLF9W2YW7lx7YrmxgZVead/8MTZnmt9t80H2JWizDRNVexOpVTNf6gScSfiPRcmNR76Ty6vIsTnwUEpBk4iiKonLeacIDoAI1hozo2QR2VgxCHxCwgzf5lZ7OTDC7Y0qMFaMW9+dGrjmhVfeG6fLQT9zJ4t3Vdu9N68h48JUC7kxfB8xoe/ziuq07KRLYaFXYyCkIQyyDldK3FAAQ/GxOtCJZN8sLZpjjicC59w4WtI3gXIK2Yh6CqlKorOOgyM+zot4L8MA0siS0oUKtWZNftaIupVaCHEYHDr7SNnMFC3vXON8ZzqvnrkzEUswW0YcQYpmDDHaTQ4DK/12VGc3z6VkgnEy4DmswBaaFUYBHpq95ZF7VF/VUbRA5ExivDE9k7sSH2nH1vhsBDlrPWWefJeJdq9w9k5Rp210oEq+T4GnMCih6keHZv89o8PYofmJ3cnC0F//tl9Jy5cffndI8OjnEqoFlVJYtVD8Iz1nYfreMnJ9yJC8WzOB1le9hN7t2LacTiUjmmX/+S/+GW3/EMikg1NTs6sXoF7k+vowIQvez65bweDdn9AKrKGLRRnJlIZUacz80US3XcsLAQmQ4UGKxZnx+z5mPRY5TEGYU154/W9dfj0Z57as2Y5Mug2SB4aGX/14DEsRZ8xxqAqS3jn1cbXxBMExSV4Udj3Tk45RQFqHgzCR2OXrt7A3/ff+bBzzaoX9u/8ymefwlRym5YNKZTLpx7fefZiLyaa9w+OUFHqEKPAuc6RVLWa4lOs9gnurOMz4pXzjn6rtLuGCJe5bO2RtdnB4ZGPT1/4+HT3N37w9mPbNvzS55/9xGPb2lubUKeNUceAz16+duHKjeLbAeLo+zGTeJSAL7MinansIQBSccMosZDTzlEsJUrVmWiLAagGZzki3UI+h+hnP6GGrIHFapHyhRrZ+OD4+X/znVfxZJvOCrgCm049Z6DPjI9N3h0YRDvCyLGsABIqZFb1YMzY8sU174zEjDyOL754Ubs6sqVLAHYzM8CYg3y4TEUY4wOQS4DHvJGChVmgiMuZgilBbVok5RxgKKIUYxwLLOHP/WNJiBsaWOeX+u20SkIx2UbEdSXJM5Y85/zNmwc/+fjOr/3MM7ZnDbZp+I2vf+5//N0/wUvuRBHdzHU1YQsdE3vmEHNS7gg5TDBHCHTHrpEhm5cprgwpJSmGVDLFPJ+cj8B8BP79iEDSq5TNrw0AC6fvesqKkcGYZ/nxdKERb4nZI3NMtFie94w5uKUKEj0Zt5xiGyUwetdI9JVgDUmZZnEnxasr9NeYEIXM+o67pHIh5nNoZLLoWbjQQ8K8dfKHcgOWvS0UMDkSs36bW1qxgyqQ8hbJm5eHgCmMC42Njg5hKiSOoYnhIUyQld8VwqbFChBKK7HuvCliLUKkMhnTLWV3WP+LMp3b7LSJKRnTf3FgLBAfZk1xIS15QZbyINJkDkRYJEBQOX+nTjP4dK4GZeDDrWjTqOLRsugoqSEkAs4QL9LnEKEkUXMp1jydkpN84hwoae8qEJVnRQzsj41Oj4+PD9y919hU39jc0lxobcSsK8wJxmSZhibM/0aYWDGcCbQFvgBuwIK2Cxc1t7YvwJ43w0MjAwOYEDw+NjIxOobVV7RcyFraMXQCNTX4xoD9ALsBm8KS43+uNiVkF2eGUAZKLc6iEXN3YMx3x+qjDQ21jRjv5rrQE/gbG8fwMHLHvjnbVFm3cw3nSAbohxANtAiYqyqbUAYrPzilNqGb5DLQaXOl0177A4plKvc6M4mGLM9VnsOUhUAshqYzjWm+U9hKG0tK1DU1NjQ1ogoBjTFgNC9kXFqXXHmCuASDkQSsv6JD/SEsnCECMOWIj2nEKmMCOcEE4W0LIZZ3vLgk7AnOC4qMT5BczOwwCaEIYUJUlPAl1nIhMONg+5ROy/j4qoYY/6BhBGWHHT0Q/LlWYC86f82OACs3a3uKqu8q3DmgsfrLgRV3z1y8un3D6oCIZULbnnls60tvHNLKLHcjFi0BLfuQW2FS5DWHFr/b2pYS1iICoWrc9zBXhWTxBCf093hLe7d/6J4M7pqHAuAETnDxb3xiAnN07g4M28RlLCO8ZGE7PqvvuX5DrNCqOKvuqhukiDbnFZVKfZWGzMYsvpCLrDzEe0z/bahfuXQRZm4pFmfcoO7cH7x1r5+s+t9FHwk3xim2cBJtcjJxBYSBoLwSx3Wmf2jkaNfFF5/eo1nDGPkTOzb99esf3r5/n4pUk1ywRvezj21TPThjABUbAGNlbKsDKHQf3izbImkOaMprS/hjBk/nNeCB/34SMJaYO99z/bGt63US8JoVi3dtWvvxqQv9Q8MQoG8SGwBb168GydZ/Ptdz48SFHpufJM7zFJpMwfDN1y5jS7wSZkmK4ZSsp8IRvpYTefCZnmJ2qhJ1SpKkRsciXiTkPXQF5ypKoCWRyESiQsgK22DDG2G46ZeArsKAMPzuvtr36gfHMVEVC5yqKszIfOHJXWcu9f74g+PA0AF6naOdeBkGo3DAI2CSTiA1Ep0ZwThuUijgIdpr5xUm8DOHz58SaCLIIPFnD+WCn2EtLhbR7waDqQNKiIqZiKdSXklRGEDmUUyllGiM1OL5GQs0hbEKxn3TmsWuIdUNJCOFRq4MiGIjThOjsVUNgPG3fcOaztVLHslWf2Udw3akmHiIVZFlL0/nj887fRT3vHdRDrJ1g1+LTGLFn/uc8Y76L5sFYATrpbc+wicyWFpA5dFVfv1FLgR98kKPvNHR0iwuU6nioXY4I8/VzjlXk8VFNmr+W7V0EYKJTwpDX3G73F4V3TFDaiUwnMdCoFdu3OagNb/toCtekHb1cK4gkcJ51pBPqqUsEhBRE81mAHREOCkXEISLjVEhnNk2mQgPEYlw+AWHPlw/ZTZO+ZXJT7oMoyUaOpCQCGl9STe5QD5gD9UCnWJCMjYTpWih+vK1G3907cbbh0//5td/5tNP7mptTm7rqEtYlBU7fGOHVOQef5RQnWbIgMCpGORtToSggVlTBQFPokIgngwI2DzaoZgVsEU5IkkRs3jD8MGxMx+fOv+5Z/cha5vWrkDJONGqKiyA/eLTe3tv3uWyJX9nDsk1cuXaPP1iDn3cWA0VZ3cZSoAcH0WIOEZIQb44cKESqoilPBUE/fM1QV0UdldDyMF/eQfaAj7ju3PvvjJ4O/QLRvlPDgOQ8spw9ezKlHlOuBzkIuK1ZAqJy44jUeBZLWtAaPv0lOjKG1vKivgb5iUREM6oZ0hoHoLr1MD/xV55pge9plwN1YBkVGY+aPvC5t12xSHlbQKJIq0HelaFpgoAVsL7l3/xN1g5H9ujyH2tCl/vffH5/e8ePfO91z/A+22vqLqO73l8Krh6N1AongwvFATN9TdBXgJZgr6tONc1magKWmJK0JLebKqIE3+Mcx6Yj8B8BOYj8CgiEA8Al9XoO6mAkT0eVkJdUGhAd4elUNOdt+8Z8/vOQJkHIyWJBk+ew1U04cQfA3M53K0mLYI8cqygphb9Mn5FyQ/vIs2IkuEEsFSgrogpkQnEA4E0KLcs+FNTX4d9fhuxJG5be6G9HSs/Y2Iihj/5fEEeeUiTxQQxVXFibGxkaHC4/z4GgDFWhNmxWCYQ7rFg1SN1OMvjtAMuXcQaI6hZMqTomKgU5VCKsgumslNxQaFo8AkqxoCRe+6ogFWvQ9uA00aMnBAURReKDaQdS3jTFBG3CKgbLI/0ka/BKAZAPENDWqOkTcZRH6olmQXTCqBST0w4AExPgJsTyKEovpytwkrH46PjmMiObXCxT3Ch0NLU2tLYWMC6tXX1/DJFHZUWQwtowUTXY7J8U8uCBVOjY0NoFIMDE8PDE+PjXBoaM3rRfMAp55RXMMs6htFf7ByH11dgzoxs+QzmcmQQMlApv+AF6jveb45js9aaCQyKN9bWYyi8sa6hfmp8AiFCoDjIrapKlF3aVjqdNpyXflC5tD7ogbe52tKEdDpUF9LwSgHJ0m/EQ1mDIVUiesaWBtR2vmToW1rWpStgKRGoHKVEx4qDFD5zYuUZrq2urcadphZvm7EGRnV1PX5pcRUMZZXi4R1HVfE2yVsuW4r8fEoUeqi4QIsx3t9iSoAByEMugnY0h1dq+bP4JfdMNvswIMgMbgKg52mUn3eUL2aIFGU5YQyQFxcck+GzhOZxP90IhAUTWHaVP101ZodHxzBih1k7NpgKoebG+o0dq9asWNJ787bqQBPhr/2g0hARHE6/MvE5RN6esJEJ6DjhnJNqamhYvXxJQV+s0yveITGye+NOP6Y2KrvoDN4FEsvsYaYslpeU2bfJDp1YcBivOGUAmCbMPR02oKgc0tQJ+ZEbuiTPOXwEjbIkXOLwLL4ngXLbbRcUrNF34/a9kVH3zT7dYlbDI0jHhIAJBPzJvE7ar8LS1kfPXrrad0eH5PFuHUMF2BX4jQ85AKzZx6XQ1LR7y3rMhFNV+Grw5t2By719bv1nNUeFCgUGPQiKhKIox2RQKZxD8RAWLYLAzwq+/edkU7xrnr159x7GcT+1f+falUvAhHdb2IgUFek+B4DxT5XMLm5v34XVn5csFEUc+Me8VfivSXVbPFRE+uyzBW3qf+ibg5VHEjhlRwKEzPyH9gJbgg5KFWlS+TlWkRoS8CdTd4qISvJWyFbigOvW9MCK33KYO8vBTWBnqz8+1f3y+8ew0SM2sFQlCPjnP7H38vWb53qu00FR73NRwg5Jyqt1PkgS9CSyJYdgk2QCWZ5ZKyQ8dBl0tEdOTUalQdVB4IgFM3ky2l+iUMeY3FkUcmxDBjjcIEdRIVCts+mM62MAvQDJ63Yh8km9Sksyloim/KBpsRNQundAk65SxEgyOky28sRS6KJgM/zUUgHVAxycRiZfeGLH0kWchW8HNsTovX0PD0gaQcPPFcBHMFgfAj9ZTRCYA7s2fniqe5Q7jJonDL33SnmjdIpm2rRcIIgogceF2MWKY8AgvX7oxN7N67/0whNthWYV3LJu5S+8cODmvf4+bJBJ5vzgqmrhkHLyRiABi/IKQjRQBZLbNqxev3rpIx9Kx63kiZ0b3znShSVepeOEYe+zu8rF9TYhHIQqBsFEHcgVaoFrEzGHr6iCZfeBHEo103YY1DiIu+UDwOs4RUpj49WyFMU3j7ArsEqQICPBlC9OcVJZhSwtgp0cDsevkNMNnINUSBMRSjgSWeXLP4MTWzP/7//3t2/dHfzKi08uCtb26Fi+ZOeWdVi4e9A/h+Spycu78HvvcHWlAnaXR6eQLAGbNyNojzeWMG8ghkkRNATGkL7/1of4IOwf/ce/iG+DbAwYa5g/u2fbN185ODKGBQwC/d5uqSu0z1FCBCgT15jIiKrEWZ1ngOSu5p9NPIUqQFF25wkS0oeUUA9bvve10MOSRYqagiLRPHojoaO0RTmeBNA0QB50I9BZSaCcEpX357hyeGzWVfOc3EfEuuaFvpgzzkGoADFLkccpkV7xv8utJ/40rjCrf+a7s6r+SAY0PlGRzcU1CwFUzukwwbRUESGt2dJ0WmoaszN7saf3D7/76u/81i8vbHMbGeA5+be+/oWjp7sv9d7QkirSTeOmTz2R+o/iQqE59cLkqmM6kiqTOmtNEiRdS1FLJ43bgDR/LiHNOJ+ej8B8BOYjUDICwQBwRR1LEZP0qZgQ29ZcD0P4SjF5Ngn6wZI+RMSoO34gDV6daIrUeUqJq+fHtSirTgxjq3i0x+shHPjVnfGEoUrk7PWFJqEY6IApJGYJhHTCEhYMYskIFoawWgqt7VjzGVN+sc6tfsUtPyJ4d8SDC/ycxjJP4+OjI0PDA/1jg0PYDhWjv3RBvOfDjfdoLiGPfY1TcDPQKl7zFB5ewJnMi3coEsK5nnKAHkdtDYa3ccjkZhH0BkMtviBg3TmQcCVQLOFSRlYg7X/yaO0ZUR5ZhyenaIbOVp/iDpMm6ZCMFEyn0aFIZbBpUIXZ2alAVUpPBRIpFlMgFZxZwzxvrGI5MVaFVc1HBgbrG+oamgpYHZojwU0FtIzaOrxwqOODPLsstA/+wMDIaF1V/Sz2CS4U2hcuQgMZxStwNJCx4Um83dHKw+ah70wSLzD/Ea0Pv71ltLho+m/iXyISQ6U4MmgZqFifS7FIMAqMRamrJ9Hsp7kOelMTRrobmprwpcg0RrcxDDw9iWFrCYDVeq8tbSid9nwVXB9CNNKuerK1ZWMjcU3kMrIuZPCXRUFoDvU/34TqyaebI2VYKtZjCgVQrYHuAFRO3kGmZyZGx7HoM2p9TT1n1tfVzTbU8laDDw7YPniwmch7Mk3KawBo449n/ppyWMcZJj0lC+dpVO3oakfeD4QS2ru6H9sZYobKBxIbaZ6E4qAEoayhJ2nhcmno0sMrTWwonnk1Js9c+upVleaap84tAvp2IJKR3gPVOywfDABfvKazZhNeLHeJTfL279iMHYJ9k0n6kPQNRuSAZDlqB8UqwH/SbwtA6cQj8HLjurWrGur4Ql8/bQGAcWg6E1VQJjzCX6uw7OFo18Xe3ZvXqtNwGANgeFmPXfHArh6qS2BIskBujAXJRceEwMS0vl4Uj0nkYcYg3l4obOuMpnwNjoyevdyrnOQlN/V4jF6BMTUxxafUGaRkOBYxmrl9rx8zkHQAWFeB3rdj45sfneCwmY8hordn83obsx8YHsUs25t3dH6JWmS24ox7k/lXc0ZYynlOJsejIw48T8+ev3z9/JUbOgCMrxsxHom9aTE5j7VB4oSxtY4Vizd1rNRZwtBy/fZ9zHu+eaefGgMnHBhgaBNHjmsxo2iSApEZaZEM1t/DF3hASScMORcqyGjlURuxQjGsRa1eCBmqkJFwKVGMZ0/oEibCFp68Qn3SR8Bw0IuQBzA/BZ2eVmziEkyznrp/DFU1vhgYefPDUwjmzzyzxxaC/sRj28/39GHAb3gY31JoxqPsqzkxzJMA3gVl1DNwBMIy8WzxVcJHfxVw0QQCTQq/O9kkQeTQL4EkhugckB+Q8dkvo4E0GcMjnSZNmWz0V5IZfIJX593QLzBSBNLsLY9iTvAxio6mMAyG946afW3xODcmTR8FBbuO5AGfTiQqghKzwh4UifmDn8/0bmPH8g1rVmhlMNWnu6/+b3/wrQtXriPgFFB1SUEoY6LK+y9FwnjLv+rqZx7b9t/8wy+tX7XcNAM4sGPj2mVLbt7tx+93wUOPZTPRqYZDwSJYs0VxMEuXCD1JnBWJlVS//drBrZ2rH9u6TtsdxlOxasLhM5deO3TMjUMXqTaEaKcF958EwlLV9SSY2Sr8EnseQ+kL20z2EQJYRxrzmLHEK5Zt4FdKcCE4tHzEMZ5cQXlswKgsIiyZiEglE4xswiApFrLZJMgooSAiTmdRZQMNiS5CIIi3ZNDaY3RRzJSvVQHFaMDxQcVZ8WZQvTxoQgkAUiivhEykkrCRxDd++DZutVhR3DrwxQtatq1b/U7z6WgA2FnlxYGmXYHic2jYw/7q8+W1AY8/F26BivUZphydeg4d6/rjl17/x7/+1QWtbpAJ2NXLF+NTifsDQ1P4LfQTPypw0/sAVmnwCAJBbZpyK0bb11oCSlK2ZKN6MSEnrym5WuVh7yWcuOifY0ICBw3yn2p0pNTF21EJI8pjg6clbiSQcT5CwLQzNHJTkdBI9+X8A0vkqYmk3Eiy7CWcqhQfgiRZLUI/eoQ64s15t1BIBsImvZRqUZn9KJsUga4KjtBiBewJS6A+Ab3PvFZV/dVr739i384vv3CgjlM+eKxbtfQ/+drn/5ff/wbm8QvC3Y8EzjmJh6KQtZe1+IEPH3EoeOB8p4z7B54Uej45H4H5CMxHYM4RCAaA5ywrdzC5K+Kb+pbGWvRxeA1hD6hz0hf26SKYIOakxzOj6/ZghVfhr0CIw4tgk+Wf9YdZYCCQD0BjwL0EaKVk0Y0xD5DgwgMMPmHB52Zs9NvahgHgBqyB29DI0OM/H+7weMYf5RgCmpwYnxgZGcV+p0ODEyMY1hqfmpC9fskkf4FH5XyCgB2leMEXaDURA1RWzuKsEcoCopmCqqKYHzdsjP3WylDfNGY7yuasOdymI8yXV2lEjwiuRlMgLa6PvVJWLsgmECgBWA6drT7WEaVMIQDnlXPDKBF/xQkTV8XpHP9U9ZgvoVV6JA9HKPOpqZHxkaqa2uHhpoGGuw31aCnNhebWlubmljrsj1tXV1PLybvSVqgMMLbKxhx6rCPd0tbePjo6MjwyMjQgn0pwb10ubCCMCKpmHa+gMHiMFKj8EETxmZ6FXuaVuOfJUJCB8ty5V/rIYeCxWSwmxkm/WG2TQ+D1tYW6mro6dAKT48DCc/DJqwgKpNSl0ylyqeRDiEZqc/VURsjlioxYS0lho6SpMiAiFyfApzUlRyBEh3CsSbXk04u4Y0TJlGkVI5oSMENqhjupT46M4w0/XgviDlg/O8OWhJXFI+7kx3uEjhIaFkEBlNqnxiUlYdN0JBUmHKNxJQAg30JZn8UUewWRcGKhJvUim+Dli/jNXBGFCBXzjSpmiQxFCeUDCgf1Ixd6J1eUomOPMuTJlhxlGRLWeajiCKBYyvJiFQnMOP3o9AXsihcyL1vU/sJTu145eBgbXuKmY1WVYP4BKh9n1aywBj4g7coZE/IXL2zbu62TmkQAEmi42LkUO8iKeleBJAeiTnWCXYCR0fHzV3rDicv4mn7/zs1/8cN3RmQnLbHF26WwRz5LDuAXiaQKk1cvxuMTXg3jzem+bRsMjWe1vjv93VcxcE45lZWzJDVt3J4hQPDhF/OYnaTM2IIrcAxnrJZ8pOvi10ae0fFdTLDDisrrV6+4eLVX847RAsyp/eTj200hFqN+5+PT5oDhHxWgdkNtURaRQIBxh+aI3GzPjVuYe/rs3q06vrt6+aIntm88dPJc3617IjWDz1Ix/RcLq5pCLN/ademajnAbsiQQ2VfO0MkQBhW7NWN7lVBhPb6w86/eQnw5OLFrJnCXwV9KkIutyCOLhAZEjVEirvymJCWeSqKJ8IUnDnlNzv6WvS4wBDDc/uODx7esX7ltvftGASvWfmr/jtMXr+K7gZSqOCleJaeECFziawIlDCUgaV/irTBJraarCaCb/6IX4OOoPN16zky1yKus/oubOejuLFaYBgAdPs6qgB5LbIXC1kYeXtzUY2VLzsKs+TRZ1ZDwKAROhj/Jn2NQS+aGuGqyNgzsxHgxDQYYe6WAuaqeyyPy7OzuLevWLF9oA1qq7N1jZ7FBOPpGCQJw/pq2paoUK256XzXIpy709N66j+UQbPF2sLa1Nu/a0nHuai+2k1dJi6cAaRul0xCx8Eqo6YG4CxeQR3YyZ7qv/tXrh7A17+qli1QbdkP/lS88h++HsKMBf+bk2ACet4T4v94LgiLR4MxuXr8Ku5jbdypQiU9t3SZNOfpLoPk4KvVYeTB9ee+29RiYx06fkk2grSrQfcmCO8mlhG7Xv5TiyKDBHBXzopb5LCh3cC5rIK+MiFEmuTl5Jd4f9kwZ7YTxw382bkq4/ks4fdGSIP+FA2bln+oXlMsSFVX96hc/9dTuzSwIqU/YKOH3/vyH3T3X7Q6qcv4M76SAmSbs8RlXfOL2o/ePda5ZhrW+jYztHsJCN7wHfO4zcu5YlKOMbY76LP+PfvEzq5Ys1MVgIfzusa4/+/5bwyNYGNxbS66mzwClWXwTVkCvfXDiVz7/3K4t62wScHtLM7KJJefwCfrflQNZYYNHduVZDWUlueHtQu5zpPAbIS1S7zXT8t8DnuCuYZELjJP+iTVWNllpEOwha0pLmIQhctIZB/BC8zz8VVN5Z6m8Is1cAYjETHWe+E8Kr16IQ2oi8iTAP7ADUT5ztaS5HoXlXGOVEFwcHq0fog2vuv/VX3z/sW2dG9cs104SH2x98fkn3v741CvvfexeBVfi4oPyMNZaHXM0JL13DkPlaGaQ9uaP+Qg88ggEnfAj1z2v8O9SBOYyAFx8U5d6ggfw5vqaRj4AcUZspfftIApJPyY9aEAxsNi2kWKgZP8bswYp3JSCVCmQGwBjr+PUBsDpTOdoU3RJYl5G+TxXjcEbDF9hMl9zS1tLe3tTaxuGfoHBfUU/E4a0lMnsDF6nYV3ckRGs9ow1n7HZKRZ/Bg8+Cvc/FiSX3qMcnywSolWfr4pDVSTstZp4ChC6+3mUIpVOutL1xRUHS3zE8C8mDlTX1OJrfwwFMixF7qVLy9t0jBn8yhESAMNe7IAG3ztXMn+hKm8eV0MrkFYfcEagiakK59iDNYVsxeZPpS5FajLy9UB6wnw6Aw6VUFC/qZs/dGbG8Ep7drh6oH8IA7xYcbIZc+Vbm1pbCy0FjIbiOwHUFnUELQiPbrUYHq1vxf7Zhfbx8ZGF2Ch7DJNBBvHV8vA0Xi3jBSTnzdIWjPAjA+yROiXfvJh9ANlZM44oMnPBRoLlEwwDRoFnJ6Y5hj01iX2BGzD+Xc9lsZH7KSx2jTXhZUVoX2WpNNuj8uY04w8qndafqyeDUBkqbSFIZygIqB6sjMtz45ovkE8xcWMxwEgRUIYc8QaJLLEsnBPBb40ZfEyA6eNjtbjTN+J/VWNdDSYBj0+F3QyrXGAlACMKePDn2kkk4Nhwg3V1UmqxYwFR3p8ZUfR7zU6d2UynSSCv508JIxuxhFiOmE11BHgpY1VNUbbUMsU8d6TCJ5A7o6fkPcv/v6+W+78f2SxRRnideuzspf07NtmMUmQJ601sWbf6qd1b3/zoJHOYlV29e0n+eVPSg6/H0AZ9mrc4SziWKrz73rdt44rFC4DgbQpNdobv1ntv3rvWd0u4YI8aWUH59kBgaRCqAxNwT164goFP8xmPUh0rlmBh5A+Od8l9lZMKcYiTvKogVVKZ+oWLJNmItRmrXZ4VAmtbofD4jo1LFroldoHBZ1Y3bt27eK2PmnC4SxEsiJInlaRvmlNcMeJ+9hL2s7zy9J7NwGMgZ+2KxY9v34ABYGGbbW9F9DYs9+snT0xOYdQcCy/HfpQ0W5YY5iifGbFDHPH0ogN0cADrhmJy9rGuS92Pb98pG9PC/83rVmxYtRwRYznOVK1euRh71i5qb1HFQ6Njpy5c7bnOcpeiybdXnpL4LaqQZGwRIvyF0oWmhubGaF/PkFoODh9C2FKwInc4HjY1NYOJ9VgkvJweqdulHr5ddhhnqaGspYRQO4UkA5H4cgLj65veX4lNtTWqcAb7K//sc/uu3LiFWpo7Gub8c1HSiLm6mJDKZiJi0KYXoXxbQ/HqmC+oGMTTOwizIVugzmInVOBovsShZHCKUp4VSMSkvaNOAh+2dOZRx51NOzuWpJUrWkWMRYJsqQAQ/UFaPJF04qFYdDy+F6LD/hCIpwDnaZVcfQ13rYY/H2ersDbAc/u2LVkQTVq9cbsfM+zx+8Bnz1/LmGH2tYnDSYBIXr95D2vUYzmExb79AokFi57YsfHHH5zAvuzg0/yIe2UMlCZLkFlw9EIGEzXLUsdmf/TeMawA8XPPPW5bs+/YuOZnn3sc+7Lfusu1BDKPQCfzw2bEIhBYMkiYGeUa4E9s61y+pN1GbXGH+sYP30Hnhq9JlAcS5OXhr5ry9Zi65T9OGzqW//LPPmcj1hgPxpcxP3j7yN2BIbGJsKk3ortIpRhIWXHG6IWKOoRdwuwaMgFo0qlkoRGU70pUG0jaTqWJ8u2E43EKXOYzfVKk1DMtLo01Wy4OtFo5u+BIWjA8uYN9m/R7aMjLFrU9vqNzoZ/Merd/+FuvHLyEnm1an7KdSCDttcgVzjgSoSTFHFVXXbp2c0RWLzeZ1hb05+lveoxKQLMXoYJEEpg8j+gPdOCFJO6S2zqThZqxBYasW6R06NTuXrhDZZKJ5ARlvDGYDyzVwaHRk91Xt3Subm5sMAL6B/8iwXA/KQA+lDvoJ9n8Y57c4NxNTnseqQLspoOnPyYoqJKU1v+4BDFA2VJMgqKRwRl/5A4Oj+EV/0scEBQGd/XJUCKlOyRFcJZsxJCf8P667CWMuc5nO+WwIVFgV5MU73Qikas9ceDhIZSolNnDa3pgDamG9MB6SghKNPENU8+//fYr/yiYo4/J+r/9K188fv5i741biIRU77Qa9Kg4tGaTFpZMCIscdKTlFZ+p3fTGpWDoRJUaKjKXMMxD8xGYj8DfmwjYLeXvtMd+ALjsnYi3kCIm6Qs5/bepjmO/HB7J7hzzYpBwE0pSefyl8HM0raoqFlLf8HNXR1CZW3czib2OUyl/s4hZuJQY7kwwjBmHGPdtbmtrKrRgqiL3+uU2t4g6n9e1bBB/zPrFuA4Wwh0dHBwZ7B8ZHMJQDxmoIy5BMV2BfUgrV8wbp0KfcygeXeaRMNRkpon0t17UxTgjKiHqsUYpRuaQ1amxMQxuKSU4ex8yURnEQDVB5YD1bAeUnJ+/HAOGLqk+cNlAkzQMHau4VptUFmC6c7KbJVOEMyUAHkKPqXEGknQCFdmWt9XV/M2Jrx8mRkersU5TcxNmzGMgGB9PtOD7iaZGzBZnw/CPyNqD1WGi48JGfGMxvhB7Cw9jQvDo0CD+xl2lwlAx5xDjo0JMjEz6gYwMZrsXYgGzzPQICR73UFeqnsUE5ukRzNacrJ2YxMbAWCi+sbmpFitCT9SNj06gu8A4Md8iP/Chbj+887kasgnZ2DnnoqQaJSYlVFZ7BdrK6SipwgtXxOSZk2uRWBEi4Q0gtA9UkqmxcWwGjMqPxaAb6mbxRmdkirPufPOxH1jpePE3qL5ep06jAojNa8ro6gC5lBPkFC1RF4kqu4rH50RZjJeUE0NjkFtM6JvaDTEZ8mXIkCjpWKSRAUM8q/kOv7zeSHQ+8YgiUEHc/b3WX9XyLPbTPXS860uferK1sMycwVvvztVLv/LiM5iNKgvJsj6EDzO+HamEpAK9YROS9hTQqqqWLl7w6QO76zFvMkBj5uvRc5cwfOjcYobwnzXLDoOxX8a1G7eOn7uMDRqVCodXLl347GPbPzx1Di/v7UcAfGYTSQ66qrdOdVKTrOzakAJzEAJ1xdJFn96/O1FQVXV/YPjgiXN4wZroNc+kASSpUCwFe0PCzHc68ErPd/oH3jlyBmN4Ory9eEEbBnVeevPQmExuXtjW+uSuLTbr9N7g8AfHz969P/C32/ZwS+ZyQ4zjzIWrN05euLoR69BizlZVFdb63rl5LWaZY49nJNetWoYli23EtKf39vHzl2VH51SAHibpgys6xiYmMCKLr37NKLYf7li2mJNJ+SghfqvzOTbjAo2U4/sADLuG84nx8d0w7j4Tk1I9SuhlsDRkOWYTtP6g0OFf3qGku6U8fanGzMs3PjyBYblPH9ipQxfI6bN7t3Vd6u27fR8rqCSKAgiybCY4EiggEy/EGFci5bQJh5vrKPkT9TYe6/YAlinj1TUzHPXFHVtMhQoCO2yYOvEXz7/Ey5muszFL6/aSmh8JkNRFjY8f+tXxLKjCL1E8SMvHJ4kdccGFlLBLJwwKsfPw5oBxFpUWuGck8ZHkwNXkd1egSVVUcJbuSzyM3ERiFgsjr162CE89oZqT3Vd6em9OTOoXCdr5hXSDM3Ns3ZLLyKET5z/3zN5wABjyWHcaG4723b03Ns7KJmHnVeBMtaBEB4ZXOQJaFA+LtvpB3dRXPTQy/Nevf7h53ao9m9dqnUeX+AufOnDyfA/awsh4ic8vRCWUSNGxJQGSCx0SZ3HClGJs0xuuoIs19l99/+jhM93uN4jOBRZvnJBcVK3o1upJEB85dHasfG7f9uWL2m1wEYN/j21bjxY6Mj4m2ZKblffBuYJkgtFEhWd4I16UYheLiDqMMfLsZhxKB3+pwH9tUqTH5boITz1sW3TARVYd0bO6xRoqb3kM6YDkIq2Ep9v3B33tpTF8c7N0URvOXMoYZPHDiRU7kwoDk1IByMkEPiYbHp1AYdpI/6LWgvXnrno4ZqvY3oyY9olS15QXZK2uwsdPo+MTUoOcLD5iw4+WUoocLUNfCoXI37o3IAtROBlsA9xQz8XAMvWnxD1PDtqTM6+Q0SPMmsdlX6V1ozw03kGfIxgqTH6UiQaz4fRpWmuDZJAn6U30xHhLzpHUrxycoGDFgCHyAHCJ6oSexqgXCT2BfCi8hFUsjwCr4RKxCHLaJUMR4cETTqVeksy5YnAPxYl63wknmEcMaT2g0nLBeMSGncnIcFA0c7CGKLqosrZ4sEjB7Mw3f/T280/sevGZvfZcumntil/7+c/8sz/6TtjdFUnyXmFPFeawxKuY90Ew6nNshbjsWgFKUnEexNy8zHwE5iMwH4HSEdCfNOV6mhL3xll8qVrb3tyA/grTLUsbC6ngZ+eHA/dw3sZdSnEVn0XWaahYSBjnIuR8Qxhqa2rRL3MpMk53hvXEaH4elBKwqlC+gNL5TCmzfhtbWhYsW75szbqla9YuXd2xYMmypkIBo1t4vDalADDyOzY8eP9m361rV25d6bnde23gzh3s9ctnM5aw51W74rtHJbkogrRuqIwnximPpYFSlHyyaYgBCPCwMpZbYn5d5e/cakyRrq6t5Sj4DKdsSqbNsFPo1Xpvja6E9FnJioX1LAdgWnSHrIGafAMiRU5lyVEfqApBE3ZIrdI4P+yhzkDL3PzJMav+ZIUtRyBCmy/EakIV+tKLuHMSqBh8y1VdNT422n/ndt/VazcvX7rec/l2b+/9u3cnRkdQVdCcw9AxUV3V2NTcvnTp8o41K9etX75+/bLVa9oXLca+wg2NDXhanJ6YnM3bTLecey4TVp+ifOZk44HRLEfM4JweHxkbGcB49jBGsjHqze3D21ub2lowLVjeBc69kB6V27l6sgnZWMQnlzDH2KkenOdwlLRdkmhGynApuQyTKQsAFmwsZqoCrjIg5pNPTU9iGtbIBPrkOqz80VhTl64y6bTpZHMqd5BDueCePxIkicVqElZwqrQXjdIpUkYSuRIVKZJqE0qoXxGJqYBNPrdPU3w6U7sQNSeennqhEuXF6ypz9arKsM2Ty0ZAHpfIFd0k8sWwbwBWM37/WFeKBS9Yd29e9/OfeiqFRzJ8+2DUFDJ8EudNzRcwXqk/u3f7Dq4A7B3kt4Czt+8PnDjfY9oAyD0uaTIhCURs4Id38VgF2vBYBfr5J3bu3brBHORzKRN02A7BiDckCwNRDiYUHAvaWp57fOd2mcyqaEz/6r56E3Om4UPA+CBgcBOnKp+cxZzsI2e6ERBVioGNtauW7djADY+xdvHmdSv3bu1UEs73BgYPHT/vZ1Qa+uEAH5VKtIjrwugz0Hvzbtelq/3DIyre3NSA2eRrVixGwArNWNG6c9Palab5/NXrF3quW/InAWDT0PuDI1PBR5ZwCf5gZL0Cc66U8wobW4SuXLLIXuFBISYg3rrL8fg8EfBIc4hqWpYnaQYJNdRKE5eLmEA7msWW2D98+8ilXp1AT2UYlv7sk7v37diAWwXcs2GnLEPAQVOmv5nIHB1ES9Vx9QcX/mz3bd+ReFGCAHrSgFRgTKWdqpQ5bwgqwaAtXtVjuJeADtAqyp/B5kBGlh6oF6V9SVH17UR09rYS/WbIm678mjKX1C1fyfhCA7+xn9mzZdXShTaUBSQGVg+dPI/V9TVrnl9NQ234l+ePdtSsZuDH4gQnzl0dHuPHHHbgU5X9OzBc2gIWM2GAsRmQBMVQBIguIkV5F510A8Dhru6X3vwIo4OmA+s0fO3FZ9csX5oTaqoK1AloOACOxqa1L9GPWQAAQABJREFUbcOa9auWYnKzKT94/Pz1W3fjL1CdAHkMNEBx3uOLvX2nLlzBpyGmkJOAd2xa0F7ganQ8aFf1qA45B+pAjFIqVXwOpIuJMUbvgIoTWBqDQlKdtU6zQUnZeGl1RBz2qPS1yHuq9gUjMNPy37BaASJNMHxvYDhcwgFPJmtXLSk0Nia+RhKpBJ2EL0nkCPkUrkUVDoOynFvsWVLqNOmJ/ppiUjTPpUoMS5hg+FlblyrAttD4OAkfrWoyyaBAKSPUnqBcNh1CsizFmHAAwsIUoTlghFF4Al0mk4Uz4qMCYIR2vGN6Tc7OQ+WyM41TSmpQcmEasdITg8aq5a/GxhcsggXGroRzDjFktDhlaAFK0ZzDdDtiSzJIAiqMUUtVHmeXOZX86VnByCeiShyhOWVLMOKIa+qxL76wrNRKWHhIUmz4IZVVIm7hr4Q54EkHWtJpZMCP9xO/+2ffu3LjjgUTy979ys9+8pl9O7E2QGkvTCTQl6pWESUzARP656jZSr1o6JDA/x977xWl13WdCVahcq5CzokEwJwpkhJJUTJlK9iyQtttjbvtbtvdM/ZaMw/Tqx961jzMw6w1a+Zl1nT3jMbjXra75SjJkmmbIilmEkygSBAEQBCJyDlVzoWa79v77BNu+P+/CoDUy6qLwr377Lz3Offc+99zz7mhnRjLwnEhAwsZWMjAjciA3BJV6E1ps5yMd6br8fSkvrMVHwDGaGQYjyzzNXSOuADpXxlrFbyKV2EqIM/NbNKT47YHk5/gtXwTFKG7zKRMsc0SSgk6SIKhrh5fwero7lm8YtXyNeuXr12/ZNUaFDG/NZaGB/jDFL/RwYGLZ06fP3H8/Mnjl8+ewcrP+PyvOEhdzlOTtGMwmIM0NGUUDeBIS16kBB0JKIcXqAEw83qbolEqLhWOcDDCyb/yeder+EAZnkxRGn/ZLWADlOWRsidHZlJG3lDgT54UyjElp3cCGZor6s9UDbGYI481q0a5pjPJlPCYVRzTaoZViVdVmrxShRkF5HPaCiilWooJTDQejWNS7+VzZzEGfO7o0XN4W8KfMtriUlksFo1B3yUrVq3YsGHVxo3L16zrWboML/7at4GloQURH3lAecjTQlY8yjPdIEBCx0K+40NjowOY0DwyOTnR0NjQ0dnZ1t3R2tGO+dCYFFKTcV8PNXFXZCoOv9RAMTsslBIqWjcic8NekiOM/JvbVi6jlBoUlqswV2pQYqyZY073fFVhUGlqEq8ZjU6NT3IVaM4DrscXEapuktkiLj7/SvDoUYU5wUqtxGz2bCvG4cxNhBhkQBRJiLSwSEK4C5mxjiCoMGNZl2Mp44mOeQVKzKsBZ7BvGuw3qx0Nj2OZ5ohlAbxOGchXTDXFl/oHX3pnF1ZgjhkxioDJZL/6uQc/dee2WiswqeakAM1o17jpuXnDmq99/iF8pjS2hVd93v/oyKHjp2KkwdrY46gIQ+Td3QcOnQhjh3AYH/P75i880t7eJrJ0QJ7uJp4Aw1PZzjJlIqf7L6Kyw5jZlo1rf+0Lj/jptkAPj47v3PfJgSMnAp+cC7F/ptuxJOZjMQdLgCKvT2CwWsfJc5c++Pio0hEXlsu+77ZNKHZ3tGOEe3GPWz8Za1di/eT9qTMulGpWnfEaDplwnET8tEhGMDQM7CenJjH39OgpNxiJNG5dv2rTqpUg4WvKm9et9ItSXhoY2nMAsxMvVfKi2HwliUCDSXxWeWjk5LmLQ6PjAS+erFm2mD6HrowlCUsBocnOetgYQx6sbIRw8NQ+EDAAfGUQ69DGGIN9lfjWl6MYgpVo7DluxCSOY0d3CeM93x17D77yk71on6oDg76YRP7kQ3evXelmyQfdARI9oTgPyLzkuZaIW4lHkKIojMIYRYjf+xEeH3PQRIqU9H5PYdUZ9Jh+qFONKg/YDf0CiJQ4WMZovZJgUltEUaUrT0iaeO/GlXXEVzGmy1mXU1J9NgqOhZYjuoHxmQact+4BzqaGtxtWLcN02EzXeu5S/56Dxwa5skKsB7JB3Ay5I5tU9CfYIDuETwYcxILSbqkGlcFA6SN3bcGbED7gnH5vzgMZs1oMSUkzKQ1dqkR31D87+/ybH7y39/DoRBhVvf+2zV967L6+bs4QjZxxtpxtc0GPsseOf1SKpY/r6x+/71ZMM/Uu4k2jDw4cxas5psi8cHGqJmOHFoJ6IAgIb8HvwEj8ABZ8DtunbrtJJn1igTRF4iB/VhZFQpNdmpOgxyD8RBc+K9dyVJ2udeLAX1ZaCzhN3GkpAJWF6kGhxBQyaBQ7Rn7wdKYWN/1XDKgdOCLmrasQTu5OX7h88cowvhWmanA5vnfbTd1chFzcUbnIhIKRbV8fxkSE0mcxkIz3geJ3JvqHx/DBIWNVzqDMIDt6vgAUkJK8CScwmJlx4Mjp+Pv0+Ezvvbdvbm1qYm9obBImiqkOM2JHcCMmn3oA9csWd/kPAIM8gR9EU27CsedzaVBj+X2kPU+sgKFcTbJSD+BEkwnuu/YjB8FTV/6P9h2rpkf2bicJ5C757/OKbEpzUyfBNudNJecjJpI+LkbGf9EmRRdZSomYBJQYsk0jy1SxDMP6R64AST+orjmC0xJajkMY3hcllDiiWCTGe4k8YMHnKdeMEfdq1KLexv5XFdQaydZLcQOb/XD/4T9/+pX47Ra8IPv7//SLS3p7rQMoNegyGYUTgaVSnhAzxzAZ0uzHpaT6UrFMlrxUBu8dWAAWMrCQgYUM1JgB/c2WY467ycJOVhkw/bdhUTs+pimrFfIHU/mGbo09Gw/o7tJOrlyqiCLi81AwZ7mMDfzqxTQ5pgNvMsr83/jKHnvKIDXcgNU05tCBQSFZhgIz83qXLV+6as0ynfK7dHlLW7v8CHeVgQN/kc/OTk1MDF25cvHMqQsnj2PWL2Y3YvVnzH9NYhWjzHqBWxn7Tn9gLHjsHETKozGKHYNMRcjM+yYC+aKN8Qte6WIFPy/xJBRLQONVBJ2inZfEoD3neGGr4lhFshCZGEmpKhOl8a66Bvow5y2r1mdqzpoyAlnFGXJtxWtWUqDAoQootflkXBkFKOKzppNTw4MDF06fOXuUE4LPnzx5+cL5sZERvD3A8yvqBvXsw+LJnb29S1asXLxyZfeSpd2LF3d0deF5JZqCbtKwzGJ0VOPYJ1vGpYR2AwrOHDzF98GnxoYxDDyCwbzJqYmmpqa2TpkN3NnWiDd6OKE96ywdUg1FlPm46/zJiBZjvfEMN4ulEgW85Sj/VLOcJaGo1XLb5ZRETS3u16wqoznRXc3fnGwxAi8bTY1NTg6PzU5fxRhwkyyfbv02RGDmmjfp3rP9tJRFe4EJoqKzNfIAFDk1K3smFlWKAgJFuEifgeqelfTocKIBuyKWVKC45IbAjUg1+K9OGXLh+DPNAJpUVftYrnbvoWNPv/5ePKEWUhi6u/3mdb//G1/augETdt3Gy03J5p56lFDRNjasWv7bX/0c1qqNWfDN1ONnLr6+cx/eUhI8zwIA3nEPxFLgwXysZ7a/H/uMb7s+cMeWL376Xp1h6F3VK2TkuIbg/ZWi7lxwONSvXLr417/wmc1rV3i7eAaN6b8v7fhQVlb0ifWAZ/SAU+fLhYCGCxIAjR1LIn+wP8xv7ulqf+C2m5f29S7p68Y6ol4JBlC3v/9R2edmffievzLA/AR/k0JMKFOidaaVha/PHjx+ZtwWYsV0W8wmx3TqbRvW3L4ZS7a6X3MHj2Ox6OPx869YeVRfMRq+BC9TAkv51oIFn06cvYh5yZ4ZDfvurevxaWdMuajQXWVV5ep53cold3M8PnwfenxyCi9SZIZ5vN08gFAkmEoR5aRcphWvbQbN5uKVgRff/vDdjw77kRIswf3EA7djKKupKUxkzGnLIpIok0KWs0JZ43GjrhKiVJrUu1af/kD1p6DqKqpZqFI9OsIajbPSCBNIKTVoWoAyBEGBY3GFM/6biKY3Q4yL3pzZIFFhHXN0S1UTSzT5TblxCl5lgKqwZRqhFL2HWj067Dd7x03rVi/HZPTk86Vv7z54FvNW+RjAGwmQRykgbSmD8ycUpNDKuN/3ySmMyWFN9ZgV039vv3ltV0crGITTqTTNPlYPxNJZ2NKVZdYoxE9GgfUPvv/C2weOnvVtHqODX//cQ3dv3YAB4KxSLVMOmzt4Z+m0ofG93k1YwR6dg23HTp/fe/jYyOiE+wANf3WYBpMyXncUsviru7o6zABG5+BdBV9XZ9tdWzd0dSJpzLP6YHrd0YpUG8Ms+01M+FJ1gGeN54ohwDwnQSUk5yt2giW/sdrR68gC4qnfRexUpdbpgXjBIuFIh5hnmQC67pPnL8eXCXz++dN3b+vubDcZ47dypEpBXlkBhQRKDaK4ae2yzDsTOF8meOUKNaxSsg8KIl05ayWIyDuADHrfkVOXrgz5kxOrNH/50ftX4EUKPL6T3EBTJFWsN/IJDHoHUYcPKG1cvaKpMfQGuE84fwmLQusXrFWVF/UANRSbuTFYGEvsadaJsv8CZti8iCWJWZI/t2P6pFGxrDS+Mk6I7zfgyAJ5oEpKxESQFAt23nIBrSIqEnQtS5qgRq9E7I3LjoUqXTye5uNJAghRecZKQGju9KLAvmtYpsMXfTRCKRA0ifkcqS6vMo+Zj+5EpjDkhKP2grUuSlhduTrKKJmd/e4zr23f+fFMdDG9a8uG3/jyZ7kMQC5Mn/OsmjxrhqOwyEuO/HlqaiAteSYYSzwrYwsCC9BCBhYysJCBa8iA3IoWyuPyrn+FVEGiw2ptWtTV2oSuimuolnACT1I4lPBVR4sK6pr7lulcswoyV3Xna+DCM1kuIst08aO7xUPdKlXiX05lUI7c4IKB9aWbmtq7e/qWr1yyes2ytesWr1zd2bu4ubUVFy29o4II3cAa1DMzYyPDA5cuYOj3/MljF06eGLpyeWpyAmt0JpcNMcpdiVPmg11O3RVIxDQlKigIY3Y1WaRS+STXqYiXLQPEGi+b6qxVV6Ze7MLvlXsAFHzmBb/S8QEsPEfkir7hh7SO+4K3guvmWKTRUOGIWpKn86pJ91SbbOUalBLvIZgLMVEWClm1mXuMwDhXKKt4rvLCf81KChQ4VAFlbi4WKkDa0b+hnXG58OnxsTGsl37u1MlzR4+dO3Hs0tkzg5cuT4yN4mzCGUdOblCE9rUI5yk+otvR07ts9dpl69YtWb2qu6+vqbUFdL4XQq6wFRhXVMoWBK47FMyZScGgy54cn+SK0AMjk2MTWL8B8+fbujrauzqb29swJIx3JfSEpEeq5Np9886YL5HKYhteIuIUsJSQZay57Cu6ZolCxoLQCviqu696atOWGkh1aynlmGdJVWEMeBKLQfNzjJgPIs+c9b0aTWBpjyZfRJuLZelsgzp3GlIDHDE8jOZ0gozN8Jl6pYCRYknglNPsGJMdY+aaYXVF9zULBUZ9NDpvcWTqGmSDGwvQfDJw4Ur/s9vfw6BdRripoeHeWzb9u3/1T27bvCE00wxTUTG+ughcv27lsn/59SexLG2GfXB0DIuUYgQ6g88Wc62jf3jk5R273tl9wHPiFN+waslv/coTj95/u10KeSMqnvPcsPOFSDtXBO9UGA7fgOzt+fqTn37y4bu9cgBYi/LFdz6MXIVPzq0g6QUSCx5bBoTrMSBMsMMq0yfOXVRujJhi7uxDd2694+YNG1cvVyQGEk6eu/zhx0e9Dz7M1EaBaylDphT4fQQZDl/UWmYKePLqCUwcvpeJBb0xF1Y5MZRy84aVd2/bfCu+crakR5Hw/5MTZ/GZ2sh/r/g6AxhCOHzqnB+QhvaOttaH7tyCjxNbBQaL8F8jEZSr30A2CC9xYvT37m0b/Xg2KPjY8JFT585dLpwB7JtfyLApKz2GdiosLsUODm1Gcji799CJ59/adfpCmMqPwenHH7j91k1r42EnSEuVxWGWOlAbQSPycQkgrSf2X5sT9vpj3nOLiZixsk3K+ZaZEQPeSJ4CQE2p2WQvFKWn7lR0QfWlamOvnDnzxLmktkyxJxqi5qO0ATvn+DOf9djS1PzQXTcv7g7vIkAfXo7BOvlY/1zPU2DYYqR5F+4jF3g6+z+xSFnFfHzkBM5cvOsQ8ePLrA333bIZY3Lqj5Do5Bw2qwFLlKbUsE6ReCEwQ5md3bHnAPpk9MzeEF6X+crj92NtdvttbpJ6pFPuF3fwj+mQ4LCbncXbKmvSofS3Pjx42a81DQ7oEGEBBHJG7OBxwiHssxcuDaA6ZDa2Y0PS8GZPX2eHGwIEs/459f4gCkz3tR4lr9E5hPbpUGypkm+778TJgrKgdPzMMSim3BEfvgnLYHKqyr2lpdapkLrt/FUDsq/HEOnHR0+OjIV53lhyHGul3rp5bWOj/7SLSnoTRb5JLVuCmdvOjlZ8K70vOmuwZDoW6w62LBAeDS5SPSecBsd7eNxLnLxwJR7+uWXjmn/6pUc7dBUTpEM2d8gYifwBGJcA333LpvWrljXYu1YQRT+A0PDJD1NDCWnKbq/4SI8x3vijMxrZDueYRiYkT48TAliKctQmxNTCabZrSSF2HPZl1++5LLc+OFHiSxnAW47wKS4tRWwpqAmPa0vp2isTLlUkrktgKuIuQOo3IyakIXPPAhmVTii7lVpyjKALi/PZxLX/s1KRwyoVOOYCZYzNRfQ68Lp45TBfdZp7kUbuXYUUKoOZoZHRb3/3mfOXB3zcuFv+Or4MvHVTfPJ68ZD8a/LR63NARlmwInRXFCZ3Vc0IZPUtlBcysJCBhQxctwzoz7Y5qrNLHzqr5sZFrc0NuM+Wl/ezesDADg19MLthV8oy1VQW2fkqoP0qVpSuBozXlwSBC46t/5wOslKzspbY8HrydFwBZmcxrtzS1tbZ09e3fAU+8bts7frepcvbOruaWloxpInLHpOHuxJ4UFc3NTE+PDAwcPH8Jcz6PXVSV3vGrF8MYvGWRHhop6JHkSOUibirjHCWazWKHSMTVUBGJU2EBwPEq1Qw52mmUjH6u0i+LYSRCWZDNjfl13vlgVS3ZQDk4o3jvjIa4RV4wAQUUaLBcyugsUjkJl52TNVqgvR8KpOoHe+9ql0kz+mVAJj7loZn8l5npo6NXusx6CmRYEXImcVZsTOTY2OYEHz53IXzJ46dOcEvBF+5cH50aAjz7CEv691BgEpxnuFHcmtHJ9aCXrlu/fL165euXNW9ZHFrWzsel8swsOvyIAiBn81WEL74os2PVLzKIsPAQ1gRehRhojtqbmtt7+ls6+psagv9T0kINbXgarGrlwUWlFBN/BroBZYL3MgZqMGvimqqy3uOinpyjiliPjIlqgStzniXpD3PTE1PT0431M+2NtfzWVGwmWkSgVDJRDHNqfIqeEalmxmzY0wFzvWTjppnspWlU0pailUWXJVSclwqVh5z1A5Xcsm0+Eu/IQqPehdRSFpA1p6BGtOI7vXgsVNYjuzMxezYFSaR3Hfrpv/lD76FiVV4pwgdb5n1QhKQWHli2+Z1/+a3f/Vrn8t+UXhiehqTYJ59473paTcxpVy9mlXr2s5mz1288oMX3zxiqw2DAxc1DDL+wa9/8aE7t/E+KGlslEoR1l7tKDbql/R2//qXHv+dr/0CHjSrVexHxsff+GD/P7z6btyJeKoBiSJDVjhqOCGlLvzZqxcu9+/YfVAlEdSyvu5P33srxlC9S8Nj43sOHMMj3QLt3gsPFDBVR1muirRkGpZEwB0D4Eed0ZwOnTirNnDHu2n18kfvuXXbhtWYlqrIMxevfPDxESxRW+hHhWUuirzJ6wgpBe3U+Uv7Dp8IK7jK7Ha06i8/et8aWSG5Wqtz+mOlGIz/yuMP4EOhse2PPjm168AxNOYYGffGllJHl2JBQIKS+z1hFChmi/zFCcaNicfnZN76YP9LO/agbagBDE7j46yfvmdrZxtnGUZbHEqEnjOoXoU9IioKKnZ+zjZMQB8CqCp5mE/QaRa7gPknG0niCYH89F/FqKtFDpvN8qMqjzSrOX37mmKm1nlYrql2iqs1qX6F3fTfLRtWbV6zAjMIY11HTp3/6NCJkTG3XDNbCTfsnZ6YOYIDVdsVz2rBsaHNYi3ZqZ/sPdw/FMZcVXbrhlU3rV3ZSh/yJoLOyFAWRMYkib5OC1PnnFFhcPz9q+/CH3y6VTEYVf38g3dizXys7psYYAzODR7kvwFaZrhdHW2fuXfbkmha/+WBkd2Hjg1iLRkdOQaT6Un0ZwrG5O3A5E8+Onz24gDeYfW8m9cs37ppDdaukKjIK5sAknRDKcbo0VEZsDfOQIswEejp/vzwGDRaOYOIUAjnGUbOBHYvbghzYcVEahIQzOSXEThOwPRl4KQQ1TtpxLm9AA11H3x05MS5S/FbLGuWL/6dr/8CPtXcgHX9qLtgK4oZtUI0/uPvS48+cPe2DfFUb0xtx1cV8B6PVYfUonJrgl21OiUFVstQRS7iVaGf7D44MRXepcAp/KtPPPj1zz/cpj225AIqNcZspM6L2D8GtrS3B6PIS3s7td7Uozd2fXzp8qB71QBckgchUQu2KDJF/Ez26oxzKeNBLoWWFTYgtiuJl+2HJf6HAk5KEYLhBAuCa2egXcPmkuazV6zKMhyF5dJP+YCtsQokNHFbI2PzYFEiA+D/ir3JYmFfXMhYN8ci90KbyeggT+BzxBwiI1S9eO0aCtyqbrYWDs14ymn5lxpwuwxHWmRp9r09+//sR6/GKxysX7nkd7/++bJFLPyZaxWU1ymYwuQJMkuxLrFEUSm6igOlcguEhQwsZGAhA3PIgBsAloueF0tLHh0AxwDh5saGliZ+agVzLgPdQyCUXts8Uw0AetZs51pdSo3XYF+1Rwby5uQmx80AnsbsUs+cZ40cKyeqBnzlt62zs3Px4r4VKzH0i6/8Yl1ZDP02NuNjnBj3lQuBXBGRXo5ODVzpv3DuwqkTF0+dHDh/fnSgnws+z8xwUrCvtMhoBEZeORAC+PMsMsIJkiL83uQ8nyGKjmCayyYua5Awa9GGSESXugnQu1TkCr7SygHgRZj+O43fM3jwWvPQr6r2BsRotKOTUg/erAeMK4cwAo+eqIAPJ+YphmNJpwcoKrwuW1U9Uj2lptQ7VaL7yvw5Raogh/YBltILRApR6lUhKYfEjxZsaD846aYnxkeGhgcvXrx4+sy5Y8fxXe0r58+PXBkYHxuV5TR9FdLDJp7CXT1Lli1bu2YFhoFXrepa3NfW3tHQgHUR+GsQTCEx1xxTzvEShDOEg25FhjUOUq5OT01PjI6PD42MD49NTU3hRMLCAx34MHBne1MLvvSKkT45P70+0zuHY4ELpagCQmypCjlmLYIhjk33RfQSnFrNicUIZSmXr8lsrLBEVQ6tMql5Lc1Hm6lP9RkWqcPs8dmZyelFs1ebGxrwGeBAykIVSFnWCmU4UlVREQPl8OuR14IK2nMkxl0iACtqqJiexXr2nI2fJiINhhlZ2OaagTnnzDUFjBNgPeHvP/8mnndnbOKO5dbNq//nf/1r//ZffmPD6pVpLTleuYBkYSCxYP9XPvup//UPvvULD92ZUYvFnw8dP/PdZ988fuZ8hhQVsy01ItWNjU+8/9Ghp15+J14IGt7eftPaf/svvvaVxx/Ey08xv50TCU4S5rKGS+vGNSv++9/86r/6xpN+qBXcuFXbf+TMX/7otXMXLxWGn2hkQRtvlRbsVQmgF2F3LcZoJT427OPC1wF/4VN3fuWx+7yhS/1D2z/Ylz//1aS8BOZ5s4DwZBqKL3ogK+XLuGm19bqJkxqSW0+BGcbs7PGzFw4cO+0n3WIG86989n4MRnol+E7w/qOnYv+RMjgmf+pDiScOXUL1BiIAQ1a7Dx7b+8mJeN1aPPdHPn/rVz67drn7GHAkoWBp29u6cc1vfPGx+27ZFItgGuLOfUcw6hYjy+BQBdXiiH4yxcp821GkZn327MXLmAS8+8Bxz4oxYJwRvnh9gWq+05qeCQJgpz/kdU8c/1FLZU2eH5zxFkvFMHjUrEfGdnWhZsV4hlht7bCK51WpCeqR6NIY52sTVY5qVuf0qNNtAT9y19ZVS3vwpkjs+lu7DlwaGFROE/RNGoCHY6GANFN6jpoCWTxo35GTsppxGMiEis721ts2r8HkxWgSsHM2rWKpGs1LbDmBwROnKS0xDWHDuzI/eOntY2cu+oFVjAFnUhHrZoThP6PEf+6Jn8UXClYvW9yILzTZhsUMDp844x7Qw6wTd/zGVXj0zCo0i/H4A0dP+V4RMvig+0N3bOntbKcDTrUdnUtiqFC9Q1LMb1pwmgSbkIGJy9a5uFYKKiAkXqdMUhx5kDIPrBEtkxLXD8u5rSID88v/qjXDGpBCqMdbYq+9u+9K9M4BqvjB27fgrbK7t23Cx4BUDZgzfzmfBMG2U/eLn7nvX/zqEyuX9MY8r7//MZb7xqMZIN0lzeUrzmgsMVfYpVfFMBr+47d3HTh6Jh7b7u5s+/1f/6Xf+urnujs7JR6IaEJUSEM0u/BL/+QAsKur89/93jc+e/+t8QDShStDL+/YLS9JkFtamNMQYFAMZ8DP6ijVHht3CUiql1mx3JAufQZ7igDwdQNJHg/YmE80EgDplkOk5OtW0qpyiXbVwHZmbc0b8nXhPZXQGQEx8t/iceEY3usggpsdtXTj9t7nG2Yik6akHd8wo3NTLMlmO3OASaMo2ExlSNXP/sXTr7y9+0C8EoCJFR+TwIvSnklUsZZCbOgOSE4MFfIvIBcysJCBhQzc4AxknuPMxdpsXVPjovbmRU0N9VNTnPOml9DQbWL11LnoK+ANnebcNAW5AqUxKjgbsAU43h1wpct6+fovfoe5rYC1MkUFMM6EycRYZLW9s6utu6e1HaMsrc3NLcBiJB1z8ngrJf9n8UgI771PTU2Ojo4OD40ODWLEd2JMBn2Fg0O/8WYe2TGmeRgioHsWA/RoJc8NoAindKPYMZaqBrtasmtqGoiWoNZr9oDTi7JnqsMAsJufPYVnaPwEsvvYb1Yq75RyQFXqgDKaczk1McJrSJV7lhJ6yp0pqYxGQcdcskrczAhXKXrHqvCVkL24j6socyXCRCcKXLch7I7g6RV0VCRdgwK56efZd3X66vj0yPjoyNjwcAvm3Le1t+MnYFdPa1d7UxNOVXv2x45vFm8fNDZ1tbR2tHV3dfT2jg0NDfX3j4+MTE1OYmKxvOEuvy8qen1diT4FHihRr3WHGPCKydWr9Th98DO9pbmppamxuRmLz6OfmpqYwtsnV9HJ88Z1juv4ltrPEnwZQEGD8uSSOGpFq565aSvh9mgPlDjh6R4oZqxCLhay8ykSjsAymSr4ahowGW16CoPAM3gI3tJQP9pQH31tx+vGdRNNxhfLANR2MVNMAAdOIbmnAMhSoZQool0hYxdtIm/lcnHOcAxNkDaBcJpEfTCsbphKHmFYQ/amnUjM9FOH4ZIP4adu/B+FwRqbcmGs+Izo9557HVOgvvrZB/FgOubB8/QVi7u/9cXPPHrvrS+8teuFHR8ePn5avz7LC0tohux5KVi/CMvPfuqObb/6+QfwgBvTiEPz0tvS2TosEfy3L77zxq693pCTNR3AizKifTP1zApgZc6/femt5X29X/3cg37IFif7to2r/s1vf/W+Wzf/5TPbD504U8ObFfUYwHjiwTu+9aXPPnDbptgKR3+PnvnTp17aue9QjC+Ec+euOJ73Po8RdYyUZ/Ls+PjEgWOn9h4+8dCdN4OCiHq72r3F8clJPDX+6PBxPcWhTNOb15rHeCUVAIsCdxmh3irwg4mG1HvyzQ4Oje3af+ST+269bfNalDHaGk+0whTVj4/gOxYXaUDqmELcMv5mispTaW+eRzwSwcdHT73+3kf4CDEWd/W0ttbmrz7xwPK+nr98bvuH+49NZmfuKqNlQPrLlpbmh+/c+q0vcfTXz2ZWPjzI375z3/DoqDot+8r+g8rMlTAhN0Ix+7CSsjJxSfLEjz2Hjj37xk58n3jtiiXqWMU9HajIUIlYIlmCzmoCWxRblhrK4Ism2oYk+Gx4IMgQcq1XUwQN+EGse/ADKTB+LuMewXki+FKvUisyeCWoyDd99ZoeCgWq8Odh712qyaMLgML8ZJCzq5b1ychrMskbM03xHfGhkfhtnowg7AFDD23LMzgK0iVnqgvn8MmzOH9v2bgaFwuTxUv2jZ978LZX3vvo8sBQ1CzzOuVrNV4sAjhZryA3RbhICuA7H+5/7s0PlvU9tqSnK6VkSwzY/ifR0012RY/cjaH0Xj9+jDWBd+w9dKV/mD+O0AOwExBWYY+0RxG7nMo1R7IrBpnBodExrBDw0F1b2vEhHtsevmsLJjFjMii/1EzdugU7hqnpCAXOP7mTwsVW4oUsvVAV7tZPCmaQOCXLLYTwowwyWrq7ZMtcYMLCq1TVWLwXfRD3035jmN5wYV5x07mmDiAJqhttQRKC0tUX3tl1+5a1j957S1tLs1rDGPA9Wzf97//jP/+bF9754Qtvn7/cz89pWTzFHtH1etyZfOMLn/7NLz+6fLH7HoEyf7j/+HNv7rw0MISi84H35+pLrFhsVDNU5oCL0WmtO3X20nefexMrfKxZsdi/NoIx4P/2m1/AGhV//MOX3v/oMN51ZoIomVqNS4Tr79i66X/6va/jG8mZl35+gHXSDxyZmhY94FMnJLsu/5G7jN0xgKP0bI0krhV01ngwUGAp0EEHGN0xGdqKliSy8YEj4kCLkwBcHwJNAhGnobGBCeu1xjA3ebVam4yEF3YiFOIJSeCJnm4IV7oREU5JvuRpAFQBgBgJTl/0UtcdiI1GyuM8xXDE8l8nKK02VIhrwkW+ooau9A/+0feewxIaK5f0+VMvy4v2Kr1hwM8jIdRuqU5qNS4oHGN4GlkzyFODRwvQQgYWMjDHDOCECh3FHGV/Xtg5ABx3SNlSPg/aj0qX2dbc2NbSiHsZDFPiBiAkW/rTVG1eUUVMpkeuyOuJcxEKznrxfGvxTA31GArhkM8MPjBLPk8J0oRK0I5JphhioBKLrGLWYHtnN4Z+8YcxFhHED2amUS5pXO0Nk1nxWd+xkZGxocHxkeHx0dHJ8XG90cqO+0amMy6ktaCnhLKkjGnJOVwpIBOwoxepAaCM3EDhCJdSH1Xeq/WA0xuXDa6vx305xuRQOzr9lzqN6OSyh5hc6kDMZAo8zgM5caXoviQ+05Y/mhiP1Oxadc5IXrISRrVW4qiB5pUAmHNcoUKcGvk5SqtebQTV4E2OJejJkWpEeA38iaNnYt30JH4nTtYPDo4M9A93DfQuWdzVyy/+4i0ONDn3g4E/6GYh0tbWgVWg27u68TFvDAMPDwyODg9MTkzKR6md9musydJQvPPzMKAiDAIrQl9FyE0TTc1t080tLU0tzQ1NmPHVgChmJvAsF6+ngA39UKkjjuD9yTJmCZlyVnGGnNVWc7kmPTAe88VwzYZSxppU1MSU6mUpJ5ZD5GWqY2pQggbAaeNYBbqtqa2lYYgN/KprE2gZc7kSR/64Vugx6kjA6qguydk2AhSY8QeC/Tr3agSQZ2seRXnzE7CL2EFyCFgnxBsc4QPFb07Qlz3gmFLFnuqAUuks49zKxQmYm44F7pIM6BOuQLRWFDAF0Cy+lvonP3wen/790qP3ZcaAwY67l02rl/3uNz7/G1969OTZSzv2HDp86uzZC/1jExMyGDzb3NjU2dGGMbY7t268b9vGlUsX4yktmm3+PLvYP/S959/4h9d24KZcHME+brAFzpWhzl64/KdPvdDU3Ig5st5nPMFf3tf9zScfwte0XvnJ3ld/shfzTQeGR3I26puaGlYtXfzAHVswRfXebZvF4WAK92mHjp/707976bnt7/vzL5AzELXjPyNyBwI5mxmpUGQS/DXr0pWB197be/tN6/zAtmccGB7b+fHhK3hUbdbczxrJpV3reQ/uRfKAEn3V+AZDGXaNTnVeUOhZtLiNivY2Ob0bA9hYmTYzUArJ42cu7jl4bHBkNKvFyhUdZ9CVGUxNOE5OTr76kz1rli/55hce6YuG0jEs/eh92+7Yum7H7kM/fmv33sPHOQCQu23A75ze7s47t2x48pE7H73nFnxhNKgWCN/P/vtX39t/5GQGX1IMydZAsvUkQy1O1tFyEUtdR/pZRi1MTEy9/v6+bRvXfOPJh+JB94jzZw0mLSsp1OJZLhEQyubP9BAvj/pxxENMDF7l92SRYWDcSWMIjv4UmXAqZbgX/CwKm5qWsrG4Y/H5JydItu5MIjlmuk0nIyeswgiHAFZW37B6KcZfY2m88XD01PnxCa5GLooKTWbyxthjJQIDQzY5wZWIJylX39178PH7b4sHgEHD0Nrtm9ceO31heJTrTourKsJSgFKCx+cA2q1QF8qP6HC3/3cv77h145rHHri1rdkNEGa0qXneXnFQL0QT33BtWLXsts3rOtrC6Cy+zogZwMOjsqY68+hurgqVe6SkTAxChOe6WBXsvkPHT1/ox4CfH6Lr7eq4a+sGjKljVW27WFBW5L3KYuDmdSvxxhK+c+LIvveVKpP0gVI1hZTG8vX4JO3o+KTr+NEFzdbLQ6RFuIlehPWXxIZ5VdhUhAM7GuYW1nuWEw9opeBs0cnqLl4eTEbOPp6Gdh9LRfV1Zy5c+fMfbe/p7Ljnlg2+qeNivWpp37/+5hfwHs/LO/a+/C6+inAKi3VLyxN/xV39Bd/e1owRlkfu2fpLn7ln6/pV8QRZWDhzof+vntuO19qwMInMVnBPZpgNv1nwHjFnwLTh6DTP1v347Q/WrVr2rS9+uq+nw+cBa0HjQvPgbTej+T31yrsYBj5+5gJWsIBbooOu+H5qxdLFt21a88VH78Mp2d3Z6pWoey+/u/dvXnhjdBwfTvJNAeJuBJTtjJd7a6ehIuYcnBdw0dWQLssHfWCVq+vEKkWwCivJ4X0gcp64Zi+RiIQ4wPcO+M9FTSY9ex07mdTlAPkQrjNAQzWkw1uV6GUHlB0FtIsO60vrzifGAU4JeyuJvsBuX3fHb33tF/FjOFKubIlh707sgiJjPnS/r7330aHjJ+OFYYJsNWjF0r7f+8YvTUz5TiwI+IgsBR7hPTIKclHPG8uXd3yAme4M/sZu3m5ihgkPHRd5snzFnfHsGzv3fO/Hb/53v/ZLmX4p0Y42JOdpBokirzA5U3m23/3mF6u8JZO6J85jh2QaGCnFrOX3d388E33RICIugAsZ+CllQBvoT8nYgpmSDNzQWkh+2+Q71WKX5BqArqujpbG9iR8A5iuWymrHYsHKWKpwaioz5qlzMVtkIofLIHBPgMEePFPD/NzMzy/nTEYg4yLlFzVhkm9be1tXN5Z9xiKxLe0dqgpKI3ZciTjrd2x0eAxv++u479goZgFDh/w+jiwVg5GyLKgCkRgY0pJKFOG8LiPa0RNqAaLfeXLlqyCT1e/LHnDXTsz9xfgvsFdxIz8zbY8+y1R78RIGoRcxAac+K1DuvwqX0ysZBk3UU8c89aTqVUmKm1spdgMw4ppLaBlpmMaNXJJIeqNcc/MrcF+bdNDjoShAGQmmg3j9AlMe8TAL72VghefGlubO7p7mltb6Bv7ulhs8nrzQgXHT5taWjp6ezt7hkaGhkcGB0aGB8ZEx7T189N7aNQFJ7ElhnmrRn0/PTMwgzKmptmlMBsZU4JaOtsaWpumJ5omxialxfBE57rJydkq9KCAUoLy+SjTPVA2YmxLP7YEi/UqMGkkRU7U2XdFCocIImfPgmrTlFEeIEnAWA774odtYP9uCVaAbpvmV7MKtUpZAq+x3xEDGHLMhcPrpqRdcACkx7cr8OWsUkeYuMkMFggdSj8RU3hJxCNECOwL76VirnlIr16wg0cyngDXHlkj+vBWq5KkK2WULDZNXh9PnL/0/f/X05aHh3/zS4348NU4oxla72ltv3bwGf8DjZhPTpHBrjbFSrA+TGUCNBRWevjpz5PSFv35m+w9fekuHjdEA0Qp1CFOdkHOEDRP+6D1z+oBD2qypBunE2Qvf/usfYRz6lx97IPYZ91v4Sus//+XHvvnkwxcuD+Ih+/GzF/sHR8CJyXpd7W1Ymnjj6mUbV2EuUDLj2bkqc3+//d1nn39zJ14elUunXkDNtpxC5qNH8umkuq3nWCCUQi75csFiNiCIB9kfHDhy8cpgZ/uyWA4JP3ex/909h/BMPqpZgLLZMRaZAxxplPzr4+ZaFLiKUueRgTMXLn38ycnH77uttSWZaIV2gtGpw/hCsOUoo91SzEjmG00ShurH94Z/+OLbGLL68mP3oQF7o2gkS3u6fvGRu/D0fGR0/OjpC/h68aWB4cFhjk9j9LqvqxMflr5p3cplvV35wWzwQOTPfvT66+/t5QP6Sh4nXkWNxPuSByQZoV9V7dGvE0qQHOUSr3FcwiTgLetXPnjHzXmNNxhTGH8SOCsVLuNuFHdnIQtW7bX5J3lObMWZ99mAUoGZIpnym9+rH7HV1NuYkrRHWleno0nADCj2LfYq0VSt4ENQRhSlV2RJSfoTHy89Pnb/rZk3EtAhv7vn4OXBwYpGkuwZZ2HsyF5gFjfqP/rk5Jnzl/EpVrxcarJ1uAfHez/4VvrQiPvwsJCYfNmc8kxojsZMIZ1BmxOqdPApYW/zw5d3bFyz/Ob1K/z83UQUXsCw6Gc8+j96bA7i7VvWr1nR54dmIY6vC58+e2n6qoyjmzrGUxiDMZAeUiagmqur//j4KbwZgwUqOtvc4ky4Yj5w280YvMSFSUanRUtsw0VZYPKJB2/DX2R2/uAffv9FLE9dV4dPKbMSxJjchMITniJSd7OAZvwJU3Zt4P1kthq1DFEADnZVneUG1SlW8yxLWB/uP/Kf//7VxobP3bFlnR8DBgUJXL9y6W9/9bO4yuPzvSfOXtx//HT/wMjg6BjGJkBdsaRv1bLetSuWbly9BLco+RwNDY/98VMvvfru7pHRCXgnrQQJ0LaixtVnkKTIXUF15DVXwPi48J2a7/zdy82Ni/hyUnd7nDsMA99/2+Y7bl4/MDKKEVx8nxjfs8frCLhONTU1drbhBqZ39fIlN2H6cG+nn0AcG92+c///+Z2/w/A5GpEmXPxmOC7/5NYY5egCjXXcOFhjVZOsbXVLy9oVaOsQjEtM4A4hgIQQ3DKDFJR/JgUScCjxbFeADDJSB7QFf+PCnKNmOq8bjnRby4J0FImCwTg+AdJAGCFjcyyJD/hICv4S1DUUcKd69PT5o6dOxwPAEkTqUYmJB2+/CX8lxLmhf/DCO9t37vHfg88IZ26bMtTrVXQtC4mX6F0KrBbs6K1pJaE3ufqdp1588Patn7rzJnzazJPzgJzIlNIKljw7Ll4orEnkBfFp4f/hv/lyHj9vzNl/f2Xn3v11XC9/YVvIwEIGFjJwozKQGQCuwUx0e9bW3NDa3DCFBw9846mma1KxAYrOUzxyp1h3hC0ykcPlEFSAGwI82MLzbok0UgmwUCBiwQBSa0cnVntu6ehsbe/AlF984hfXpWTcV26XgJma4gdIR4cw9Ds0NjSMoSZee8S+WDJjdqzBvroSCZQgytG4tkI80hCBKlV5L/JxReUu1rF8sfIYm4iDgPV3G5qauHY2pqEVLUUq6mMNsb0IFpaKfEpMHAjyXrKEHjizkJfU21J9glN8i5kVrVAOWiswVSN5JQrMOTTq9zqCNFHu/ruaB+V0r7ecpSZKqZ4sAR/tRkcwOjIyMTKKpyFDXV3tGOXt7sasX6wB7e5MaZK3xHgtobO3By98dC/uGx7A7+aB0UFMCB65Oj0NvSEVNblYxJR4lxSKuMtxOVH91cNh4OGxmcYJzPHEl4AxqN3Y2bQI6/43LprGCMMEXklJdeb0GLmYUIxVmUo001r1OFcl6KLiXqpQf206lSuTnqCvNiWBP4FywjlEwl5jAUpUT6nTTlGwhmxdnW2YncWvKnweocROGT7DDragOEOrvQgtsT3Cdvnko69c5RLntEegYCibxTnWWg5Qy7ODFnG4BkWQhfR12NgjMVy4hb9cKq6DhZ8PFbgVlDaVjTafVOSYbcBtGJNZhNUU//SHzx89ee5bX378lo1r8jNQjZlHXF9amys9sIiZ8SXF3QeP/9EPX9z+3ocYMxYnYV2qnLvYE5WrqU3iJhWDXn/43WfwoPPXvvDpzWuXx0bhYWdbS+eaZZvWJCOpMU8eHp2YePuDg3/4/efwmeFw/iV8ljXxUR/HRHRBROWqYFoRGFCfPn3m4gf7j2xM3cYnJLGo9YGjJ90Ja15QfwxXtBfVeOCTOFSLVAYpNWsEL4QcO5serr2YdY1v4q5YkgwA4/PG+w6fQH1RPSTShoqi4pXk4SwQuEiRVg2Uuu2BrNDR0+f+5G9fwuP+X3nigYxXGPXBkAzaCfC67HZWuKjMCeInzv3506/9+M2dGHvw8UdAIiZ+AuM9FAC7oi1ORUqP2xpDjrpJd9LvOnDkme3vY1wAHzRNZW9sKaq9YMjXDqnSwesYku59LuIwgnBtkNgNeYzblKRR0xKbVZjaZWCYv5uvXtU99RQGYr6QQe8lhA2qiIj2Aoadd6y8SgNzZcifmGADPHvz+lVb1q3MvJeAeau7Dx0rmobrlTuX4jCtFYFEKyAJxjtPi34C0tkLV3YdPHbLpjU93WFpenDcdtM69FdwIExLxe8NUy3mOdNagFp2sXXwJ+F7rar/jff33nnT+qV9n1nc3VlBNVTwgiP/qZDjQNxasbr7XVtiWXyCHctoo78iWVeqiO0T6zaXMismR1pwJzwsTU5OvffR4c/cs62zLbyDgg8P37x+9dmLV9C3yx2gKSgxZ+QbcmQslnVO/hUjcATtm4/6cQtNFKLCBMsi/5wsmg/XeOZUX2n1ckTR4USr5IW5Kd/oDaiux3tz576hkdHf/Mrjj96ztSNKoMrjRgV/6MAfmMt40t7Dp/7sH15+Zcee4bExcUiaK31ma6dlaqcTFm0Mq+Vr2kP/+MTk//f9H18eHPlnX3kMK7pnhnLxi3Z5czdsbFw1hxsYDMu9/sHH//Evnj559jwar8TDUABEGyhYBB8P/yJcFkS8lcgZdrBaojKUwqLT7NKs3iH54iWQdlQPjIut0RofcVQi/7UgOk1SvPd4cU1KPC95nYDoXPwtDKIq0jnoDYmHKuVdk1aucbqEaxxkc5CoUVl5W5PVqkUVdpzaH4Lg7TkNavEG7sUZjegGWqmiOr3cGHOUC0PdqCMSgNZlVUkrTInbsn445ro6fMz+T/72efxIWbGk19eqScVVKTio8So9U4mJLP26lkMLjNR6/0nNRhzxLYALGVjIwEIGqmUgMwBcqfNLVNXXNy3iH3shPAbGC4G+Z0r4qhX8T41qjBk6u75au78SvhSdlhJreM6FDfa4+dm6FQToGm8j8PnMlo6Otg5O+cUAMAZRMI5s3brcRVgBU34nxkYx35fjvsND4xglkveQebVzf3ZRksufYhMvSwuRo2KT+kxZLBTxKVqZxJQKKjrHFyspglnHNQkVMxVjYUgJshKvzI3GgqQz05jGkfOhVAM5I2IExjpK0J6lGt0z5gD/e5AUPRWcsqIKyomXI+bvUqTzmpV4BS4aX46THhmcAxhUzUGogLVUTwEBZ558aboRU2M5O3ZyamRkuKW/f6irG2PAHV3drV0dmPub+eWDF/lbOzpaWtu6FveNDgxiJBjDwCODQ9CAu9no/rXAu1JU8C5ApcxlhFpEMRl4enZmeHx6YmqmrbUJi/7jbYuuzsmWyUUj49P4wjFXxK8QRbGNYiz8LCWUxVCCn4+eijIgVqR7P6pwVSF7NXlAJU3ejnm+OWNqU5Xnwmz4adT/zMwivH6DCxmHm8A1757LC3qgaijyEw9ckXMGOpIVVRU0p4iKFoxb7nHksUjwzNNUoxWpz90IwVBgJ7rIdiGyyKlixkrBqNdFuhZwP7UM4Frg74sVxuDBM6+/u/eT49988jO/+PDdWGL0Gp3B5EisL/3jt3Z977ntx8+clQdXbmDArkTaeOLRgnzDyTUwab/czc7i25N/9cyruw8e/Y0vPvbpu28pnNRbSxQY1Tty6sJfP7v96dfexXeRaxCJvWIHIxHhVKrc1UAq3jQIYCQkIfYPj+z8+MiTD98dj8FjjeLt7+/DSr8qHNsGRuT4bBR+xNpTOJBKzr8QRSpYrcTQg2WsWnnw+Ol7tm2MB6gOHsPXi0/gVQCvyxsLkp5WHdBYEHFN24mz5//4qRcPnDjzT77wyF03r48dq0k+YhqfnHpj5/7vPP3KB/vC5xVJD9nlaaWNwctlMOSN+D2bAULzDBKlouQqZlxydM2O8Oz4xMTrO/fdsmktvo1dthA0HZvnjV1i97oVKrVYNaKJ0KFWZ9aEfI48Z9wkQGVRxnrjPVRlf4hlKsiZkYPYkh/Zrs7oiTrAX96BB+bYloXkHZtD685VLpyn/9KWNC4ZhZutu3fbxuWLu/Hb35mXAxbnP3XuEm96xb20BdIf9dlEnIeCVCvAEFC2VNyE6mZh5QsP35UZAMb6yXfctG7fJycv9Q9H4qpNlWese4ViMPUspgHmLbw4FuN9s8eQ81Ov7Lh967pH7txaYSFNOCEBQ05rhF5h27JhNdarx2CbFrHHXNK9h0+O4INWsmmlCLcT8ZyWKmPkscBVcb4evd/pC1dWLu31U43x+fk7b16HwWYMAFt8Lusl5iLL1xGUvIg+VAMc0DJccKeJPsv3ZQBBwtxgjyJY7PQPlBzCD3EW1jfYVXdBfe8+cPT/OHd592P3ff3zD2J5D59Dsz+HIwb4X3p3z5/9/SsHj52amuIKH5yBTctyCWfrQJ27X79Auy1Ahrn2Y30dfqz/+dOvYs2Mf/bLjz94x5aujpZr6ZuPnDz/nR+99g8v7xgZH5WzBi4mrR1ltn+inff+fJCy5p9ggBzjdTvAsjMuB9dy6CbLOCraeenItA6Mv2N1osTKP6FqQZ5uIgBVhD1D9GxUFG1qLELUBKqrYAWQ67TzGuBsSKeLz7jMfVHl9ILfxecN0Zb56gDPItqVgY2UpqT5momfxpHOiENmTDynOz+dLb5aufr+6RimFTzgdWvl+/pKclHFk9nn33jvvttu/p2vfb7w+oVwsgpYxRmconKcGa7rXfRt8norXtC3kIGFDPy8ZyDclOc7vEq5mZ1tb27E4iqyKvK8+sS5CyUSSSHvaUVyjphDeIW8r8EryfxtOluHh92VlxfWCwkeiGNhWEz25VLPnV34w8dCsYI0b6/8Br28ps1Ojo+Nj45g6Rmu9jwyNDkxjjFmmcZqPxO8iHmJo4GeVghEXLAcixnFjrG4OckbdrVkN2BF3LGkwmpKYApUFyrl8AQCeuHnDxdziqrrsf4u5v82IvP4YAa/veGFjJHHeLP4lDNhj9kIVyTWQM/qC2WNwwyYHb0PiZtJkKgRMlU1shezqRKfqGKmYmzGPopUE7ABKpavir1mBbRQSUkxDecATmFskOaoF75oJO+C4MydHBvH54FbuzAK3NPR1dPS1Y7hXpzd0htQGzKAj1S34HOpjc1YF3p0eGjo8pVRjAQPDWPGv3QLNdd58C5AjGhO25xEEcbsDFYimJkZwZh3S2sL1oLGAteNTY2TWBIIH0Mbn5JUZO5Ui20UY+F8KWFOgc1Vj1qt2NBrYKnJ/WsKMBKOwDmmJsdeg6oKLHjtC98qwCs36H3bmhqaG2fGObO9eEOKS2h45JC70hXqoIoCNTEKJlAMWzDJ6zhLcgCQ5QwyhFSJSMfqI3TKn4iomPLG0jkRsSPcGZLIpgSUCnUVIjPqoqJ2M3KZmaNkpOTnGEQfJ716lAKk1B4ERlgFtdYAQ4iiqESeNFir+cSZ//DnT/34jfe/8vgDn77nFswmjBRUZmwAAEAASURBVEcic3qKEViP9JPT57e/99Hzb32w+8AR3P5I82btqp++R+YZJo0qo0jaQI7gvY648QB9575DGGJ86O5tv/jwPZiOhi8B1+gz3skbHZ/C6r8vvP3Bs9vfP3D0BE9kM5tzzAhiXTz0frAk+fbhJMyBL4tGSNhEmYDDI6MffIzFki/qatug4eP2n5w8/+H+o9I3kBubU8MDn4zyoDDB3Oa4gQekFjM8Md5XTsojSlIaVKnq0PSwLuuHB48+8cAd61YuUXkMmu4/evrYmfMZ06kq8jIE6lOdKu32oVYCFWyFsQRB37qwtvMzr//kwwNHnnjgzs996o7bNxd8ZTmIFUHDY+Mf7j/+9Pb33nj/owtXBrzmlNfFpC1BAok9BFWK7hY7FUX0fAVXYg9C7uKgrHaJcIIh6abp+JnzWAgaM0Tvu3WT4eIj9BbkNuaoBVYfCzmpXS6bnmqp8IjrAhRHEdtyiWQmdShL9xDkuiA28RcZ5zeihLlYp7nrqkYHfYVfx19djYFNLRp/7kjLOaQh+Ds2pcIr/OmmgK7/jG/uYoXYnuib1uDBsBbeGtEFzE0lji6iyDFioqKaCEizqMNEqskpUe8//uTEgeNnVi3va2kKz2ew4i5cevHt3ZcHhk2Dc94XI68SMHZGCHYGuNhdpxrLxM0e8LHTZ3/w/Nu4Tt20dnlmUBw68KcXN3TP0rVDgn0JosJEyM/cvRULBcdSb3944MJlnN3JKwJgpjvuEPviYZ8lj0mAT06ewxjwtk2rezrc5Gkk7cmH7nppx+7LVwb9Z8qsDbjgrZioupEFiVBCYdJsYIMTfxdd5VxgYJnQwmCBlam+zj9JseDI7SRc5h1CkAzVwnWi0QEsSrzUP/idv3/lrV37nnjwzofv2nb75tXtreGzzZFEMYgbEnx+HpX7zPad+GowllNWj3jzAxN+DNh7ikCVA/q0wZU7WWyyJiysz76/7/DeQ8cfuXfbVx//1F3b1i/p7fJD5bXomJicxhrRP3zp3efffP/UuYv4MgeltNGzZ4PfuLVzmhht2EiSkvBYgRjjD7y1QYynkqy1CtFG2/jPM17+sYt1OIdUopoObUedFk5jVwUMgxpQqUrlHtGLVboFfNx7qOKSvchmaCkOpfJYHSsc8ffg4hScsH+uIxJOH534SiZsHtaSk48ogYdpB5deyrLXEkrciE3cEsUBUjviyo0wWaNOZqC8bvJKtMEAryn3xTxnHgMRdCBqTvPgLIekBIjiQvZNEdea//LU8w/ftfWuLRsKlyvjFUvarWsOeQ+0tRTgbwgqkxz6VtFOhr8i7wJxIQMLGVjIADMQfmCEfKQdacCnUGsTBt6wuhO61spdUySWMCaFiCkLZvmy5Zi/nFZESXEIO0Y4GAeZAMx1rDDuExvzsF0IZzHHt7m1HYs8Y85fa0dXS3s7h4waG6GY6qhLL378yi/Gejnrd3gIMwInxsY4pITv187yFwDuobxyu+oR4XzytAIgxxIjIjgCVYtaxL2NULDj0eACQwUozaCPtYAjRonuGGFwTCDMaz9cEQf1xtdnB3nClEQMAWMkAps0xVjcVIoWFqjIHXko3mINgL01447phqvtSElV5+/gnTI95EzVpHb+/qTqr02Pl/YAqk0CEgR284sOPnqNqb9zLpXqKSWoCZDxh+8wYgFkdnhTOFVlEoCc+RgNnhnDEOkk1mxva7/S2dPb3t3T1tHW3NqGs5/tFpUtP1Dw4WD8NTU1t3V0jvb0DvVfHukfGB8dm5qckJ9T5QmCedUz55gjgSpRRpw5EG+lzGDVspkJfBm4aaqlqbUVr/+0dXY0NjeNN2B+8CS6L4xs5Fe8qmRTg4KtSkw5VwoRqsorLOQJSLVXnu3AWQmq7nV1jjL9sSRgczVGl4lWwMfiMZwTqUgUbnDM1vPqj69i1802NuINh/q68gFgsuesOIQFV0iHVKC7a6FcRDPq3C/zrA65dmRYYx7ozlKDuZixGE54C3QVS1XHZn2qLlEbBx9gyN2Fv/zUJvfzzMUm5Bpekgb3k9tlMlP5qEC2DSXa3RyRWgOgYMnKPQeP7Pvk+KplizGqeu/WzXdu27BySW/lz/1iMHV4dBKz0PZ+cvLtXfs/OPDJ8VMY89Mn6foQg07aAzjnhjmQ+F+94KSpjQ8gZjEEMvLiWzvfeO+jrRtX33/blju3btiyftXi7g48UondhpP69WKMSl7qH3p/3yf4cCb+zpy/6E635LyBI/7xRZbA5go30k1yXY+prnjc/3/9xdO4AVQ6PuZ35NS5WoJFRCfPXvqPf/Wj9bb2I27vj525cPT0WTMlRlzBvJIj9ONbxy+8swuj7/pRMbQQfAAZA5YlptVfC92e3o6OT7723p5TFy77J9GYaX3+8qDPhXlSfHxvzyHEvqyPK1hiw+uPyDM+x6vFsj3fOq2bHR2bePUne06eu4hbZ3LW16GaYLpMqka8tpPT5y79xdOvYQzgtpvWfuqOLXhXYM2yvl58HBhzAK2mvELctg+PTQyPTJy5eBmja+/sOYhVrAeGhpVB8mnJF5QrGA4McoqxnH/sjHXLv//C2y/u2K3a8NT+0LEzSLvTZEpY1F8XepoDn2tyghIBsYc5hf/+L5++ZeNa91U5tIC6+rHJycPHz+JWjyVRyswWbmYCaf+7l997a9dBz3hlcOR8v0yOF9GSFlWotAAp+anHWrvPvrlr14FjxlGPr12eOHfZijiW+BlxRKB0Bi5FKsiC1oWM+wIJjO4pJyQdG8bsz0t/+eybmJrpTeIUGBrBt8OFkViluJOa8lDguIUceIRY+66gWlU4Q5jFR0Bf/skefKeWBKlxHCemMTF9H859b1DcimUTPyM2BbVXVh6eK54BgAVIHOrr+z9+C6dDc0MDF9hBQkSU753OzmJqJr66JbIwDSWxA3VY7vg/P/WafzUHP1T2HjoxwVUBvG8iKjs1qp5IHSWqlE+dBvzKu7thDWPAfIdCafV4F/bqucv96qM4YzUPr3jVrOtobcWXv//TD16ieckkXEJi3Ti6167+8Je++9GoFsK+wDUjgkRTcOrq06+/f/zMpfY2G7akhzMYvcMPMfxCSZIVKdx3+OQf/c1L8RxlU+1iknjlJIcVXwhMlaCDx8/EqzJQXExjrV1Urrw54b7+S7RQYePFd3bvO3JSkkblyDOu+Kh30Gkf3bjUJ5LKoiBZm1owjLIqtfAeRhiTHRTgU8r4++Hzb92xdeP9t26+/eZ161YuxbsIaFT5acE66IsXd/YfOfXunsPv7Tt89NS5yUntY1mXkUdmiG2frYHuSiqMEI4v7djz8dEz1s7q8J4pvgevr1wHppoh+AA7E5OTr7yz+7V3927ZuBaLZ3zqrps34SWLbiwZzveZLZFBKZoNvhCMLvr19z/+8MDRnR8dHhgccq8RMCrxn+yMB4dcqIwtYhIGX6bgPDakBD/E3bbrwNH/8BfP4pcXPPBIvKWnq8SbT5JspFr+IfHmJ7OrBcGQXRqMO4SyiopNxy+s7JhUEqy+NyMsrKIMtpGeHR8dPnOxnx81FxJ2Hx9NvmvrDTvJosOZi1f+3+89h9oy9XX9+CK6u5q75DufdTTaRewih0og7NoMRvgOTSZBssA07ZqnRscykdz0HkNiYhFBfft7z+aWTBd2L0NGZ8cfFOf3wbJDOQRu6nBDywUn6Jp3z5gix4DCl+P/7796FjNcM5Ydd3pwukSt6Y2qOWVG6dSFS/jBkkM7hFo8c+Hyt9MKws3M9HRYkKZMPMaD/7/8wyv23gkVXx6IlJivKkKPw5bEzfaYIOrw3sb/9p++f9eWjQ0NWIBfNxzrPzlxxp3UpircwpFuWDnCIlYP+sPv/7i9lZ88t7NO9JnSRMAXgh5CrpQiPS9eTZ3DqIoXWwAWMrCQgYUMzCUD9bi746WQMtYb2TGnJxDQ8a1b2r6qt62xHk+yJvlCXCA6uQTBnhKIyn1k1mDg9rcXWRZfDrweFQA1HsoV/Ah6xH9eYlqaW5qbW3BlGh/n9NxIDfSQH6sQN2J0CPP+Ojs7unta2vCV32Z8ExRTBnljhj9JMNLMUWSsHTsxPj4yMjY8iG/9YhwYQ0cYW6Y5/BerNBEc0ZInsFi0ZQWUJy+W8nm6/O4iTegpU2TO8wsuLQmKNV1pI7lALAo4KED2HbsmGqJCFHlmFYPrbS2tjS0t+HQyNvzY89fk4INaM62uJQay+mNkh9dikZ8ZxkSPFYrk4DrQPjtUE6uKRASMyqY1e4S4csV6skw1l6X+E+5SF7IEb59AoseqLSuR2Kle8Aaqs3qOnElVkqCd3gTnFUT1o7XW0Y05/R0Y+h0bwpT9cfyidoIuSmrDUgEYHG1paevs7cbngds7OppbW9EVoAMgWRWhI6ivn8Yy0mOjI0PDg/2cDTyBSVJTk6hQ0Zl6JJKRX9XAVJrcLtBqgkbPK1AlVIMX0OsbmrD6YRt6vBY8WEHHOIMvAo9NTE9MoH+TX8NUUMVmFbK5UssxVlXsutOSIUIOz7Ja29q6V/RNT0wPXeyfmpgo9huSsRUtmTrppJwJcik+OREiql4MHAKHWG9sJsJbQ0uZvSXV5fnNLafZvBG3WNDmKmjZQdAdqUJAM+QKasAklYlXNrwE0IqvO3a3T9Q1nh2aGBjDxVFVueAlM9Tvrprs0NW8egtmnhlKVUmzJdZ41jB4HCmAIWcqE0h6U/XTP0vFAzU5z8ABPhElyOdNLFGW1qlKDGPgTEpGEO/kWk0vRVRVgY1nJp0XaT2KHvQCV8HEDTKqGiBYdaoGMea+gLozTjtKWKpdTAKklFgVk6LeRaePdCJXxAjk6Ig4QwQ3US+6BK2aJEKQhAl4Y1aRsFeRbHsN/EGOnK7khNSNoMv5FSMAC7MEpQQTRikoN5lAJBRKeV53QsYsCX9QrqkwC/7ocoOySyCbCf8R4TaF2d+BRyiOXWHzUTp79cSDeKUQ/giHOlBfh460o71t85qVy5f2Le/tXtbX09be0oMn2c3NWHUWSy1cGRrBrKmLV4ZOnb+IZxlXMA/Mxn1hV/JBRzjB0RXlwBIcIo5kV+ta5E07RcioGwKRkjwog7uoe5bFcRzczDyVqMddb+Oy3q41y5euWNrd1d6BVX/xhQBMRB6dxL0Yhn4HMQKHeTNDw1gsEac4lFuazKb6KgbUAbXmvJGsihz9pKz4D0hL2JsCUlyUwla4iwJ1dMVQM0KkunI5kGiBA6jcWIHyfFpyooNXLlvqh7iqvNgjfq0u2oIhF41EmEyEizwwsHpg3kxFwNcluaCcZcExKGmO3LmH7macvMFdXN5RtABJ06JVA1oIBTGXDf9wRKGlpQnTrVYu6evr7ujEDVRbaysXg+X4PYYNMKvyyuAQnl1i6Hp80g2t+exQPT3lXpw1/+LBQe2V6ZX/cUaYGaan+O83F5R5KwxCxEkgpwIKPJclYApaU1MY4qJN1Phhe125WPdyAwg5Esllligpok6pugcG3cRJjquJZkkiJ0yyMlhFkkrmUsnu4BS6OBk8lXOQBC1N2pS+DysmzZJ6pAqB874rhntvMWkuXt6AuI5sYCZyQfxQb4SqLHAllqMuWJGovSfAEday5cSVhF1DkFQ4Z1SDK2gVWSE5qm3mw21E4D8PzjH46RDosqQA1oBUWKRFyBThKFHQKw9ERAW9iAeAj9yhrLYB1rV0LNijUhgg8ySbV6sNQDxXhRoFYADQkGg2Ke8hAnZe0QmDRZY7ARRfoEf8YWuhn/Ta/Rc3aZz/bKO8nFVUx/kCYk2M0IwjGXf5UfxInPE2XM6RHzrCkoLiD0HZPLu5wxSJeeeSsokJFXJagjI9KcEX1ZQL1vlAmg+eFsO1y1WJi9mngt2WSwsbHWHWCH3TTEGJXqUlHJimdfsP3xRmi9HI6R3t6hEHbprmSC+VW/DOkJgDr/YkIlRXhzeWly/txQd0e7s6ZLi0palhEWYr4Mu+I+MT/YMjuBk5feHS2NgEapaWoDVskhUWJaHMDFNo/5RP60Vj5Z7ycejkUp2ixKmSNDBONeEOqtG0uACdvOpVDrHQ19WxasXSFX09WKqvtxM3MHgdqh5vreErvxhaPH9lEC8z4dUu91hJxJ00XZaLBsswrVuApAyS9KtAS+8NpHJTSDbkQQOzAF3cSvW1otUEGiqGTUTOIb0WS3+lnT9p0CYaRaszx2zrDwl6pWct+lfYYJkH909AMU0sNncgo5UUUDNyuyQk9ZRs4iodca6IU9Ke6L2gySIbtRBQ+96Kw/mUoDmCkwqD8gA6VV5ItEU6nXYXIy2bORp06bcMUIsb/VW9YCbKOSw4jYGu8FQVt2SnLtpeHKQtIFQlIOZbU8lEsQiqYpQqBhQvCJbFg+CzsJhDNCwGJDPiDB2gcnXaO05LziAOalssi2bng8KSIHFPrCNFXoszzjJ4xSj1XsW0JRQ0DSyST3xzvkjZx2WAREYSN1+gpxqWHqSY9UFlkr0qEEnBO7/VKWDEW1HuxBxrMKxVI+EjujgnlJYzh/IqzgM14L902MSKLUdXLgvVjmICJDnqKUiNqS2Q9Xw1PPnZUmHdFAgpMuVPbGfXHQJHgFKOGkuapURJUlA1gvIJTVQTm0iEQoASCStk9YWyPI8hWxUNpkkqyNWvx4l8aDYez4Sr5mBQiMRn2o5wCB7as84oXkRtp0yo98DsjBizKTHbKItDhqcm0ozfgUTLxr7Z8Uo3TWQJv5jIJMA7dlU7eYoH05FR55aRnZyodE/1zAuqkC1FeK3SwDM0dkiFIWZCUVNmAOeI6bGjkbSsVWs4HCV6Z8rQZBW80+FPPUsV8RKoS43DR8pV0p5SpE4KLezUqnmexaMcUAKhnDI7T1SPdJdBQpHYqyiPAqFXyc0ATvR4wSzAV/45A7ges77sti/Lw7LlSmhmvYgxg3OstUqU8+UoOYS3nKMIAj/A9KcYwsQPQU2PXpmA5/ReGflt6+pqx+qvra2YBMwpvwydAmgh2nfjJpKTBPFkbGQYa8CODw9jHJjjDWhEsoXa8R4JkHMrJReWymUiiguFCgCCoJUVcRTqLkO6NlVGVnyB8hilcGiC2ou5RhQzijakFos/L2psxKg6ZhLob6fEfhQi8aUuqmpvAGLBh6DQ0wOqFsj1v4jCmdFDiZHqGiEOWaerOnt1DlVVna+Aw4sS4PVMNi0AnHeMQY9C17b3XgY1BShPjGkKMy4+o2/ECY9lkPEnt2gmIZcpcmCVePw4GxnFzP7x0dHW/oH2rq6OXn4euAlvhDQ1oTOhQnYNs1y4vLu7qa0Nb42MYDbw5csjg/2T45MzU9NuaNkajpmZ+zGOZO7SQcL0MA9X667Wz2Dl55npqZmJ6eZ2TgVuaGvF3Oip8Ub0bzN8HSi91gVFApm2DHo+xeuoCuYRXm0Kq3BVIVcINJIEWLM/FTTWSIoMMwes6MwWcwiJ9x/odqe47kJDY12zPKx2XAXyGXW+iH4R5491jh5dqIGM9E6tEPL8BgDjfADGkfUglEBTgbjsuFUtCiJgems46tXKM6qX7i4ttuM5CMzRCGwEN1XclDCRjkbF2Jir8o33JZU5ymV/bihx0/QJ8wDSULX+pFq0TYEdGac0HvtIJy81wCqtx+3h4NDwrv2H6/YzuVIxpluqUZ8yaIXxbFEkeXVjmY0ttAJn1DAiQN60kai026ckSoi/pIYCveeJOIvP2OOtf/yptG9NfDQmDBDCQzJR6q0rb7xHQrTIA2DvhDuhfDkSAo6Bun5DShG1FJQgHDWo1dBMKOANYynzjpJQxCYCgaDV4bVkigHPT8FIqSRJGbTLs9iJsuX1AUg8jQkeprTkPbhLjNI90bdD4OmFCwH0xCcUVFKbBojautEMFuF2KW0kaoLycpsAXvyxnThCollxDCfvrNLivXPPUCqi+gQ2guYHBPGaJwgobE2uHti8yZtxJVP02uYBZDNoCZyHqp+NSJxqg+Og8HDT3QRiqMHWgtY0W5bpuDZU4j2sQxOCcaOhvu48IFTdVW/qEXMCSmW7OtWKl9E3dzLGXsZiPlh2PtzU+Uz7rOAVFCtVLThxKgqgKJad50ZrhGAgGCSeAw9nSA2N2BjsmHXJzKHVeymnJ69EfRX9zgfxJtv9uBOffGYWR8txDDqccPF0cz15JBVrEElBeGykgDiP95lwCZG0aayGgUOUNg12FNtWkKSQUVxjggTEAyCs0yxjAeixMJZJurQE/vrT/+6KR3WxGVGf2cFrsPhzBfWLkUKcN6xpsUgGtjMND2EwEhnxJQ6CRLlhRtFNRrLoIWPOFat5pWxQIRdgvKh86uwF/AFNSd2k2ZkiKSi30f3RO28YIphM8VGQQavxVDxKbNylmzeUqJNCgjEpVFv/0Gj/0PF9rpocFw8mwIbirg6OyaR59OemnkGadc0Fk4dy3kuRU07VUMZExooblItd7pFLbS5yMkNMcsSjuMBcA9ICsPKmgCBJ8P/UnIlKAKC5zSmyuGbZ6ND0TQanAXlduyVW9IZEOjXC5GAvLGVvyTjDUUNlNFGwKqQYdVM8EMPijAbmHFF3ZA9BxykarcRYLB7H7T0Q31wfCFk2CrBgLzsqdO0EB3FSG42TZ7dA3Z7ZSo7Og6+bAHgqrfN/zZtmXVsivGRRq4oNhr7qf7jF7gso15KlDGZDUo6iZt1lQPxgwGLHHQRpOyEI2bJVewS06Cw4gMmJTYOq6YBnupmHCI8oZVbTqawpt9yQGdpMyiff6S0+qHtKo0JX40SY/oygr3rBmxX+SgJCnKfOFMioWCguZGAhAwsZuM4ZcAPA6H60K6pFPfqv1uaGNqxPtKh+EmsSRZ1pIl6GT5hKCuwPa9nK+VJKWoo1l1AMjUXSMGzD0cWZablyUhYYTH9oam2RD/12tXd2YZ5fcxs+PMNs8D09d83nq3lcORqzh0eGhwcHsZ8cG8N0VUybw1uB+gNXLhvmktm1o+ErHSPeCIwlUjSqGgiPsyu4R8SSFWGRqE2sgMujPMA26Da9sVOKpxtRj/j8r6z/3DA9xRVokxcRSkJMFWhJtUMgsp7hK3Egw5UrUoyOmLgDyu3kNKQI0xOqLqI7YnIQS2EXcSvoFeYoFRCxkMI4L1xMiBCQK1TQUY0U26jGW4leoKcA5TV4mgIMBRDOj3q8B40BW6yuU38VLW2aqzAVRKk/xSE0W4dZW5MTo/jKL4Z18RVwzAbu6umR2cCN8rIelHKDzo6e7paO9o7OzqHBnqHL/eCfGptErwGq3Jd672oGfBg1S5Qy5lXpXeoMcoDVoNEpTje3YUXo5iasPYQFwuTDwFMYHsZIuDT3JEt5baWGKxLmo0dlEncq2kiItRqcv5FUUku1Wk1czRZSxVlqjeXEk1DAhY6fLZi52tRS14xXcRZdneJTXzAgz4GtmhH+jpP/yqjiTkivuUGXnBJRLRYYMpRwBUnpmuxaF2mgIeGiXZMtOrvNo1xoXijE7VB6G0DBiEf1GMKOTnvBwXOI8yjJZsdQDKES5y42jlx84MQEPU2L6QvYfAZw95ukTPtoZtvXE4RimFUhXNKjs94EwIGNm09beIVxHMGgjviKIql4MlETm59ULoTlCOVqXYrUj81hBJAyTWFzZEIU42kHy6pHGGQn0l4F7dBB5zY41PNIG0hOmpC1KuLorNEcizto5nSvKIOdk1QDUB6wMEjqYZl7zZoCQIHPCcU2ErvqV0wWVSnClNhRQ4QjUaxi3hHI53k9oDpRDA5ENKtqEhXNKFWrCdhRNHlFksiEJDUY6YYWS6KIZnZKFH3C5u068xaL1wEgrb3Elg+QuRUK6kjrhs8QQXZNLHbD+W8vibEoKIRi+YjZ83BwIUAm6ZRLGkQhIa+iODeCZZTahlzb9pq8dEXAZyDiCoYjpHjqTuMEXViInDc6tM7RN5PUY8arTLFy+0k1hZLzSVuLjPgy7bMYIbNhYPAKhuakv+LRFOgr1r5xxiRhd4wqG1NzFTrHzEjbLpRxo9fmYXyEUe3SvD/eJeeP1JqPzslqF8roRdwaTGxdRbKCkFfmXN5IcdrdwWlQByQ6EqSoHGSIitAs3avr3s05EYqUZ6yoKiCdq0q2qxCp4WQWmjsVvUOqgHuXDZ56BXEHPk91qlCmff53cnYUt4NjhMilqugN//vNFzxgJBgSIdqADGHRJUUxJp0b/dE+T7wR7UypN2n67OgNsaN0SBz9qeJgaODpA8PKFMKjbuEHoDCKhF1BDty5MrnzmzNt6RS/lctRnAiUBERUMJDHGM5Ygiyo2DwQGApQgUixYJj4ai0k5hdJHxuliUn1iUrBqSlnkIdgWyqJcgGFQm4DBxjceZqjwgibiDjA6iTrNW3BGVQ6611C5VHOJ6dbeyMaJhPZ8MeHl9pSBKVUUEjif7qndNEifQ7x3Mgsh3A6OIRvyaRjA2eURMWFPYSYUtlMt5V5zOAce4KlAa0nF4yT13iiPTNCSReUUwKGEKQnKSM1qXvKbK6CLdyCglQhQHGGLAKEeJx1xXIfeRGQ84A0HQWCvsvlJYQG6RQbIwnaFuUSoNkkhzQlcd0ypFe7AuXCTbylqJgng80lAXQ1Zc6Kk5Icbxo/Vflc3W+ihNVctGlWTZsLuoixAMfsyMmqaSrgKEfRb0TiDWdq1/LpFThEcRCeawFYyMBCBhYycEMyEM8A1u61qDdy3bPzAHwdLY0t+J4T57jyfUXpYiP/fA8Y4QDSgPyPBNiHe5Mlck6LiWqROnI9qup3/J4vKVuB17lIo/ggzhDpNuiX2yV8AJgzeNVRLNbX2tHZ3t2NqXsY9MXCz43NLbhQcQaqbLwxkFVaMFaEKXEjI4Ojg0MToyPjoyNTU1NImrsB4xM+udRoBtSu/K4x+xWOkZfOKg8SEI+mDJgkw8KrxEhDBApD9Z3mrjofOHLKLfN6Pdc6DE46dj3kZMUisah7jszjG2b49CQ+EYPxX1kTR12S+1FWKf4X6yCfp0jlq6TkzkWnt0zEB/eMq/hIjRS2xwdmIdSHMBQLi7d0ON+uTQ9dTpyVGCyhdvqk3IjCiVgUnl7mRwney3lA8izcQKGQ+laiphzt9Zaz1EopVlWMhU5PAIAgXByoRgfh897NmP6L9dvR2HhXWiFSphl/OJPr8fb0dP/EyNBI20D/cFd3Z29vd18fhoGhylUyO45ZvGXS0dPT0tHR2dU11N89dOXK6NAguo7klrfWyK8fn09KTqV7FHX16uTExMwkXsCYasFnlLBWfkcbhrTxN4U1QCfwclD2RMhpmiOi3KVyRRVlKhLLdeYo89eTk8whcsZqQNSspApjIAMKBfVAGu8sro14M6IJ0+MX1U37mVw1+Bix4IyRc0osZM1EfALy9MPNR0DzZOTvrvKTEszsBSOZIK3CWi5k0LO9THmCL7NRiM8hcwhxqsAnhpMEcA0F7YhQldeg4x+5KDpzG/JMIkXqkDfWhP3qRyOzRIYKEoxe1ZlkFvn5P/CSR583lOTfofWgeiAvWoInkX7Rbtd7teVL6i2Q5iSso2nLPihzEO4p5BIGbthjG4EVhIubNty+ikWqT+XMTUGDh//ClnhtXvksaTP0RRUr8E395SkpdeLOTZWDBQHMvQLx4E4OUpdUkxCzoFdHzkAkZOHklDqEiHIngGpPmopLlOiiPrIkCdN25dhEQcFOk5gSCnDS8MQEWMV1K1DUEMEWMJZS0w0BoQMv/NZIJELoAFH/q6DwOFnBOOUUL2onkRkDeYzVBJe9e0qWMzI4L/L5JLjX8EAVVrmjWcTl/OmONS7RbKGKonnvIi0RWKAuxFVAjFA+6giXAbOGND9gEgDDSwRlP48dUqrnO7Q5yFziYJbC0fRfdBu8G4yv0uqG7NUB54xMAsZP79irfA3G1HnAoQW6JuB0ZFoOpi8nGIkr64yWJRCGkCWLZkkSqdKdsvfXU0P3atynwgOChwP4ehSWIFIuFgFp1lWP8mt9eFkPiJiKqAbCGrW5qucv94bPnfIqqpLurHdaqA63+pwYKyc9i8LndklBcc4MC3DBNSRrjNTH/7kN52YYWCrlohhzJP/VU4I5bYUI9ZXMqoIG8Y9u4nd9/Sz6CGhmv0UO6yhEvRTFjtQpNcVVwDL/qyQBA3m+SBFkzComDBOCoQ3vOSFJsgiqOFHCyeTLP1dW8XTvXfAA6WrJ2XMlw/qiKYIxcvIAd8xLUh0lApwM+EmLI3GUagevUmJCSTTFUoJThJoBbJHEfJ4lQTpOLxDsqctxOREsKlQK0PtWJFgbLuNLpgh/WRvA+vaisOwlGkIc/NVTHm3FAdq+XNtxvgiOAlTH1k9A9qpez1jRLWifQWXUM0b5070qSdid2uQgBfBGjFJKzjd4FF9NKKNRsI+IonNIoTMYF7AexBK5LT652VWso/GgPRS42OLBq3cJ6h89ozLiZGPK5MwA0mFMO4rekhErHL2CCjxzI4n7dJS1ynAYr/ar2tVBHQHt5ER3oRMUjIIqcEIyArxmqwIzk59uLs9ZpGQ9IIOUaHAxke6ST5vqJwPUSgviNwyycLx/HoDJKNgYzTQtbAsZWMjAQgZ+mhmIB4Bht6gTsu7Mu4WLG9Z/xq0Ep3nZqKejSs/rOWMAFPzjnjtnCbppkv19zFsAg05BirtBBQjxF6LvUFMNaSlWSEqkzRVxbcF1kO5AYZQGnafL+WzyOxBT3HqXLO/sW4zFXbHas3ruk6BGUZyamMRw7/DQ4Bj+RvDF0BGMGplW/lSSf3yUxgxQTG3HfpbBaiSiGgJHlyJmmj8pYBEvTolqDQoIcjlhO0a6qoNUXeNWxAgcGg1vMaCEupgWfiGFJct8kWBqE3ctmP7bVNewCEvmTmEFaJkxqTpFEWNnszKVGfG06EoQZwLZvtjS/KYtLbjnCSnAsQ/K84B/+BNNUg3KGelMRVmSHNBn/Mwno/dcVBk5kZMmKRbNLnkpzP+ignemaACaDSxAjCjkn9DnvoNeqlJBNUKYWq9pC6quSQ2Fi1UVY9UYaPjTCJLQfFB420AGuLjE8dR0rS66CcGLMEQ2Mjwyin8DA6P9/e19i7sX9+I7wRwxsw0ViDdLMELc2tmJucJD/VcwDDw8OITZtGUhmWh09FF6zyPiHECvp0AmoknfhVPv6uj4zMQkPn7c3NHa1NTU3tUx2dLYMDaBqcw8NW3l/AJlNaIim7VJ1CCgLEhURd6KRJOtwlTociqTlgoFakXWrKoKoyNX5kLTruNkcIwB1y9qaqjHoH+tfiZ8/uKoWKsVacb82aeA5TstxYpMUE5n7wo1xFwlcAmPWMuLBFN5WjUM+mPrptkdV/JOgi91Qe4qSvwudQKmeUFY2EozYPWTZcA1mZdbtC4DCKP+KKDMciksrxHJPXRI12kXY9Wp8lnTrp1YC3YNB7x5G8DwtipXvaxrfzdhNS9e670nqdoe1QXZUxltaEOhxxKyBS7+x+xgFZfoL3WzTIQCESdA1Ymjd0YAjzZuyQ/PffmvekkLydP7SBO0nKhasUxhU1fpqCKiyLT5giK0D3JOE4X/PgAWHS62Ytkis3RjLs+Uk5SSWTKmNmJZMQA5C8PAlCcqaQiGiF0znB3JKQYTq8C6sh6wZ+rEVcXIfWQuoXAwMS3xYChVfnxAnkrCrx/CbBbiAVs1yeSQnSsIxu1oWvSLD+qIOKrI6NwBzcuTaDWWuodSpITKKcXY6QvrCbfJOn7pFXogdiyBVadphprcBlrcW3uVZKVLJlsgGusSciEPkBIIuSUP0spYcKdPUGO2AmZekFqkqASHox/KysDkkTC1gmJXNXC8y0uOaNBX742zlUWm67GhDUYtRzWixap7zgDbqXbtAU3PLXuAufmi+uo9Vmq09+mCOlxHwEi9lrqIsaD5qIi35X1QKeoRb6lPovC2FEM28TP2Dj4QLxGRX4t0i2c0i+IbSOSRfcmO3uVJsYg/z4WN1kSAnSIwsVfKQGqsUnRBJsZlfbJzKOERdbDCpyBuoy4L3ZGVEpBgAbvsuRMJsS0gx7p9eqQiwSonmQg5L2kvaFQLiTlngjh/3ricMyNMDevZ6XDVB2b9XQkRoDwsmqOdjzbCKchg4o12spsGnMW6smYm8j4GC2TKXCnCO90VtASpAIEdHktHnpWU7Ek4IcoiKJajE8ERJJkpCoiY9acCp/54k0DrBudkgmRoLPTWnVU8K5QTnav7VKjgjIWNyKnSNqZKDZbEUptoFJrmzxiAUh5BQxdvyjRfkFFeioGfBUUoxRkO9slHSyYVQEDYtFpow51vihaagFSFfxqy2wsKLFhyEXp5XaHrVEJe2yxLViZb5Ih2iIoCq794kMf47CgqkoIqjc2J9sjW9QWL+h3gpFNh4PSZPYtehKRzFH8dRLrVk8JWIYmbILF3Iq2Q7pnjwB0Mc8nGcpRWR4szTQbmX/6bxUytqVZ/dSS/hEkZuKh7p3ueB2jUkAvlCyzIeVLIfB2RWpXXUeGCqoUMLGTgH30GogHg2vup+vo2fs4Syz/qB4Cl1y265Pj0oe9FpwluDKTK4qC8XmAS3CL8n+UCUOzHy68hFIe0iHNpUV7JKF7foO9D+l8yNFhRjWOACqcNizvTNTqAFa3hCe+rqZ4bRmh4ZyW2MQm4samps3fxktWrW9o6dNWqYIzu4/9VjPuODA2ODA6OcshnBCNGHDvmSN3ssu72pT0dvV2tPR1tvR2t0D80OjE4Oj44OgHg3JVhyYIYzu7UnTSyXIl+ii1OUWRMnGqMLOkwE+928Pka7FPBrKniMq9rIlebcDEXNWj1oS4VgDXkGsnH+wR8v1nuS4pdIFb1iid4A4HLczfgu8qYV81RKJmZqXWJEWWNnYlLmlaxZ2qR6cOzn6uzkkCAYGY9Y5YxfZRfXD4RKmJ7GzVG/mdmZ9AOKtkxocwRWYDbEIRFghYuABaSzQ1Sw0UZTqfDAoAVbWxZb3tvZ3tvR0tPZyv0DQ2P949ISxsev3BlBHHwvi/RV6kQh+KkAipAlVSU0a5NOmitpKcSDRpARlAhG3n2+jp++7ehEScSW9k0VgIAe54vuFMMzc6Oj45NjI23onMY6MNYb1dvT0t7e1wVaHMw1AF8R0dHb+/w5f+fvTf9sSzJ7sMqqzKzKmvrrqreqvd9evbhDClu5ipRFE3YECBAsAVJBuwv/uQ/x/A3Q5AIfjEMS7Bpe0zIoihwOJbI2bpnetbeu6q6q6przcrMWtK/5ZwTce+7L/NldTdFgRn5MuLEWX7nxIm49y3x7n0fXfvo8vrVa7xzQEQ6jU3u3iMaY+2CMCEmC2cU/B4kfg52/RauxL+7dmQZv4SOemVlawVfhNm6s7GJC6H7YY797tCf8LmDNkS7GewmL/RdFHcRF8wsMbQc9ma198BZAMoqOyk2WaPmx7C0jd832Lqzcufuysoh3AX6wOZdL4juiBpZj46dYTd6i7gewA5RKAoIHKp8uoA8it+/JWtst5jjACXqYgZzNRdHyPgxGgwhe3tuHe+sPQ5PPvntl8hATgyXy8Qb/koXCZjwk5R4hUTLmfwqtX7WZZppZFho4rmcLy/CxpPguSCUV5hmRkzyYp78AiXsyAVG9jgMYYauw5OTfLUsdA23UepGxRAxen3aDTB4H4w6gK2cEbFlWGgzyh7S4TnGGnEfsocQ8TCNXO1Ec3qEidcv+golvXDAVLB/K2X4aRJogzhah9LODl1Ox6BiT6XSK4XkTrTpOkV0krTRNTsK24slEFMrVhC7eN2Zqaz8F1YRNYRKa4l6Qq9itVBqlDHYCCCasEFPIZBb54dgSoURJb4XiCZLvDxuDFlqUDftNY4Our008ZiiWNVmGchLoR+vHDtJEY8TpqgbGvEKAgR8Rte7ORihLgFmgD7oqaQYTPjAmQ5VbrAyUQK0o2dMerww6K1kumhFrPTlIXF+a7Yg0qgn8PHWJqUCmKkyXTOCCUaEoXRxHxffDBeNDwrwZs81Y8jIHI9npGIz4TTaR00Zu3uJx+at1jJr3Z7Kw6vntWNO88MMazgVagWDCMnMQE0TKjkF5bVEkQonC+dUrTHiVxjAmx2pOHGI9crG6mv4LT1gJlSFA90YhUXyy3O7QGjqFWUcI0vq1dW7mkMPFTm2YdGYMXhw+bGECm2CJJu8Ot1KQQyOhz1j+oBsUqnk4JJtbVjNxiHWeGGkGgJjhH6mjvMBz0f0zx/qZZYjUEXlE6GSpxABHgNwt4unJxWYqtgFDrNYGXRW9pqF6KFp/KZUvN7HfDoHSw3Rych2ynQHGdwPpRVPrq8JQOtk5jTDroiWy7KAJgCmWf3EdkFpuU9bjGKfo9Sx9x5UZ7wXkpmYp88McaxosWiwLKXotZdZj5ZnVpDQjD9l1zRFFss+HZYwuGr4tYPw07ON6rxPRmxmiOhtojR26Emn0QhIT886MCXDgGscYMRY2yg95m50oW1gdUSyCuPWJ4VzokU6OdJxyB0LFmmXrZCShX+UVA6bPTUc2p4MBsozS10nKgakgB02k4k+x1jD8bmN2dgp+BhpqOyk2aJadDQKsJlNU22yCCtoz5STXhg1Lp/NOTN6ZTmFylyoFGHo8fAE7gC4KpixUAn7KfCdeLDe3XIhpZ287Mv2M7Cfgf0MZAa6DeA8f1FUT4pFUJrnp+0D+AHg5YMH8bk+9jYDKoWJHE8z0cVzBbbWtre5U6dtY3T/h7//y8eOrJb+N37w9rd/cq66HcEnGpvzWiPtHOKE+0//3tfOnMTP7rJ856fn/uy1t0HEOVjMrBx5JzHavW2g3dFWJDR/+yvP/9Jnn04ThvrPv/6t27zfHd+/wi1fGhxcXjt2fPXIUewHxemezxIY+TZ2ODZwqS8v+b1+/drV9Zu38Cu/uvgNe3MHXnz8zK987umnH32w8GeJi1dv/vsfvvvTc5eHiST4eFjdUBpODgoZ5s/hbm//1pef+5XPP5MK2xtbd//wX39rfQM7SYsXx4IR2CXqYXQjpMnAqBMCAIHkFuk9Zh5buL/5led+8ZWnEoZB/sEfzwbZ45LGpKwcwi+OHsJi2kKat7imcGterA3cgPYf/NoXXnriTGLylc0b5y7/H9/4QXEmCC5OrjEA3cEeLjZT721je/nnX37i7/78i73+1u07/+Lr37q5sSVmBIak4JUS1ggmG+OCOWL7x7/zc088dLK33RONDbV/++03XvvZhdmUx+6vNqrhiz9QjeiXDr785Jlf+twzTz3ywDxHSMUHl2988/V33nzvMl+zzNNLfuXdBPWDVZJU3Wv7sQHC4VycuQIbTohnWVgSOrzxA7dYbrijOwoWLt+B7HG81ucS296+tb6+ubGJq4FvXn3w+KkHj588iVvK968gcarhd00eePDI0aNHHzh54/KV61eu3LqGbeAtxDiYt9mY9xjYfaRxnk8sw62t27hV/vLWyvbRe8ury4ePHlleXbm9soxtb2wT4mgdBL9zqPPczLXazWA3OYD9lmiuBwsWwJlCgFm3au4TZA7wFHvEs8MugpFc3YgRzULx4QzCpxr8OML2gdVDS4f1vZX7+vLLVDBTPHj0R3CdEGOaHha4k8MofhGFlpxsJXCHuRmwd0Kf8qvYy9N8go4oRWaHIxt4t6xnyWg+7K6SwSloV+2/YQp9ckwPOMhGW5lzzyKYUVhpZvG8wucWzjGfYvzxQT+bQOT8ewXzBRg7WhMi2FEhAD+mydkn/mQhOF7CalVxJQvG32+k/tTq7GCpziAFD4IvOMqVArVTwRNctjmCLqYgy9au6Z+SUgShNILLEUpLwwwHwGfW6EYyNRmv3BLBIp0xFDkhUWxEIf/NI18zYYL1oDAQMhCnrETRhISjD6ACpEm5oqazZ2Z1kczmKG3tLBcSdUMH3j2D9CvvFIRnfOkx1LJxsNlT2+InAA30X2D+kJiqfRptGkNg2qGf2ZdMFaLkJFENClwujHwmKiOnGBq2aThFRWiKUYGToYBdSRH4mUPrZwiUivb8sNslpAtLg9cy8x6w9q61i4mU+uV2RUKUeaXSOVSALcOA7xyzOY7AEYZFh9D2QRuTUaAEICmOvXVD0ianE8lykAFxHEQId2ucvlqBpa4w2EuCfpMOLXXBp04V0UaN8U5tS3cG3bwXyK4EV9ggzdUpgjvWWEVeSPWpBpD7UTjacue4XTuxqZA8qXYIHj6c1gcnoLEqwI+TQ4GDP0kjQnkpYRsCvHpqTKBOzSJg28NyvOZwZdIcXQDiaQIXwRNMwTO8Pp4hRi+pqOYThUgCg3T8PAQVWVVjJ10MiicTkfb2GFYB1qIYxB9sW6YOe/kvHiPJhOiGBnixi6+Wa7YoUhSumCpQPO7IYIUeTyNq1GPFMvSq5DENLjypah6YefpqBh6Z80R1HC9obNidKyBJMEPuXA+jQS+PgdlAR0BDy6GwRdCooUb2JGcVg2UKEQM4wh+a56xK36JUUIsqo8o2/ER3xM0g1DYZqdbrlDp8cLsFSu9dtzP5FEg7ymNTRyi96+B16phNsVxHB3bQYpEW21JimGbU0LNLkYrVkRgSWpkhoClI/ONRiWs0HTa2vbe+LQkVICKFWCvBq8I4xuVS0OHVmcmelYYiDdMkk2l9Wosp7b5XgVHigkz4vJoMYhCR8ZGgTTRNZUzRoC827TkDuolJebYHCjt1IlN93ksdQfPM1P95GDpf1dkH+vTKJOszfi+HykPLXgEXoVRAQekp7oAo6XCVtSRWzosY2mt9gMU4nFnEii5pR00CQ4KUcdS4mBO6kWOetgspicAjGv4nSgU/IdsDi2H26gxSnEZ04fWaoPWEMzAfKex39zPwMTOgI+pjYuybf9wMfKqzsOwz5jDG7rTSnrdDBafL5UNLuNkj+vqod3wWG0JVD+crbqphAwU7lCBmR/ULLz/5xrmPrt7cKBsRVpS5rh7GDgOM8b4crNI8fWKtdYrLJwKXIsiKSLhlGMFgUF949rFUZgv8zz7z8GtvX4YI1zhh6wJMjAD3dr5z5zZ+5FJXAHPnDVegbq3fWr9xbf369RvXrm1ubmzhRzG5U8SYnzhz4r/8lc89/MCxHnySxoWbv/e3PnP52vqffO+N9y9elw6DTUKT0sYxwJAer1uFU2xAYlzIzZee70eEKTv48hMPzdliH6Cpo/mdSuCsKjlzAusFDhI5wfzfxuPu9uED259/9tEOkEF+5qmHvvXj+h5A4ZpAVHhsL2F/FT+IhL15ZVqXZW5vaV1hvtZWu6816CXBEw89cHzt8I1buJvusCS8Wn6qic1UbCT7awGrS0uff+6RoUH1wlKzgoXBRYXAMAW3AYL8Ly31X24osz0TdtCZ+eMoHEHwhc02bEdisvHdgt//pVceeiC+D9GpD0gk59EzJ/6LX/nsBx/d+NPvcJnNwId+JiYmlmqN1d6uDtAX7BTOgvrz1ObiWDBvZG0cBJ4LUl4x2IPLh1fwbYDbm7fxVQNMNWRz0ctuinAadQjcXr9xZxM/EH7t6s0HsQ18+viJ47waGJ9+QayocE386uHDuCAYXzo5+sCJmx9dvX71yq0bN25vcRnzO7gfv+wy/LF43K8AUoBjm0ch/u/cXT28unL0MHayD504emj10ObNzTubmzotYgnXa+2C6IhE61i7knNs5rCn4aCMdwx8FT6n7AltAsP2fEPyiZUFoHZXsYaX3V4jQ754MrqHUS3jLg4a3KxHpzT56CXZiHAcgpJjpccb06FqjzGIWREMpnCu6sDOnTREMro1GghjoOxnK4jsoE1ywk/PmlTjSZYQOt9QY1Krh4FOFzSiv78JHULu92oBOhV4DvUJ2gRmBQuFq5W5h0SzNsg8hNTy5FBDPZ9qhuChaUdZ+wmHvVwKlvgIIdaodOsWEgfoOhStoFB7EAY2CtwfoDhy+sdypAXXJpvBmTKetsg2KvX1T12UFmoXIbJIkRupVQVBLHpSje0JEI/J1vFeUhLOcIXncdFNhiCaXslLLkPQ5AVvIMyRDuIMjUKQ4biChfIB6ByNB5B+cQckD0+riOYaq4LRelIfwWVaJ2MYMDm0FlwXkdkQIRT8sUKJRgHRLk2NoVl2SmPlh0Wbks4DmJwQ/skFRF4PCUrdfoXE8k6wbAHj2MKuzDPo5pMipFS45oJj92oCqk+JTajlguEhWnzSSQH2gA/eW7rXbgQt8Bw7NbqMOUqjZJ289GIL+QIrfDaKeGWSRE3CHl/m6R5C+sA2ogFgLhw6Cm4jguFtV3VKp9dPu2HbgyftgblG8Igl6m4rPXNAVxygR93FMPtVhqFj9ipps6IZTk60BV1CZjQ7Ro6ILDmrdRu+FTbGoNXDsYBgs2NsCAVrCa/0QQy2gWEWh0pCNX8CHVZ21HjdWYWjRSTwgnAiohaT0WmIPOSBw8jxBhhTkJvfVFO3zp/DJOYSyjiyJfCcglDqbCJCGM2Q4bqIyA5ZonGEOga0HhhnkqJoMiaDfMwa2VdAdCZ8ZgtvtrUHDE98WcqIdOZAn6ccxEMtnerDLII2a25IBuE5CIVIGJX8i8EeC+NharIRP2U2sp7qXStjU81U6ydnLgRVe/WmyMBbLykFycozGzNdXKlBxBVJe1buJgDnWVkJiMZPyjmTebLUDqJpnUYRupXkZ9skI8pGrD0mE6JHmlagfCTgShmxdu56jLLJ9DgAnirIQQWp/ERkkTa4Qgn0pM2BRkmg0HUyuIDqY4MR1zp98W90qoJB2qZRGKQkQxGCdOQkqJDaJkZqOb0iQvvrQITDSDiAjIp99PgQpWy7Q00f33KZVTd4smpYdlmOIaI9n7z4ybA7ANYJgQwWabDlAMRR5VOG+8C3x1mCJkBwQzr6BdRBFm+a6DWF4hA0fwpSZzIGzyH4tEMb/jOZKpWK6JvZDywFBDE/MxCSyLzHRZ7Hnnbm8BwwKpF2RUIMASg4dDK+zoZu+R+syjC1OXQuV8tnAxD4DGZlofPyiZGI0w5nifTB5CuGbFOw3+5nYD8D0xnI439aus9lBvjuS2XmlJeCUQu940eWcWtkfuw7e6oeaXdd6GJfDDb6uJh7BCNrgP7ml5/rLdopXFzoh7muA+4061RfPMz9zPSbp+/5KgZfrMlIXnz89PG1di2yUV556mHs+uC0ix0NFODh9q/r169eu3Rx/cb1TVzHh2t9L354+fy5D99/5+L77125ePEmbraL/V9s/2oj5MyJo//ot7+yyO5vxX365NHf/8VXTp3ADaIdruoiS29IKDO6d7EuhMUW5otPYESHey3sJ33m6UeAtGPB9PKBZ8l4Co8wZoyghTI3sLGA6uL5ilXs/sLBcwiyuwQcKgjylacQZG9u2oEJBZex4NbP+BrCwSVcJovfZIU+8Dyn2vuGWl/wlYWDLz/1ULD6yFOLPry6fAkvpm97G9eXP3Fm8hJevnrwazqmCYbC0TXEHBe3Zrm6gfopFHjQ7i/Gju1IrN5HTh/7h7/5pV13fysUvOh59PTx34tlVuwgnG50PDQsBTxiKBwQ+mOThfoGqXohm/lKjGSyzBVA287DbNCZhDITqww/ALyCD2yw0rCv+fFfCmrx8JOEO1ub2AC+dO78hTff/OC99z764CJ+LBzLGBOk16icgkO4s+7a2gNnzjz09BOPPf3MmbNnTzx4amVlFYuA4vsuuwx/LB73y+9QwKXB8+Rd/gj6jVu3rq9v3drEGXblyOGjDxzDzxuvrh3mkQutecEDcG9lGEHZzmGXvIg6ThES6OnVvTBawXbE0Bi9T6QMUe8H0giM52Ng6VyHL0Xh2R1f31nGffynMsgZH4Q4oRQsNUHDZkLRQE0gim/roky+KZTMKqhN7AQfAQ+iHnTGUaT3CaUUTbcLGFBFajXGaah97ieWAZ6C55eQDnV02rbNyDqm2Oe8qD2hfP2gE0/4gmY8gi9Ta+UhZIXp4PDptEoF2EdCGUL4j5fXAABAAElEQVQWS6GboTqOiTBv4D498szISNK1uo4wa5t4cKIV+YiyUh7Ujg11eEWL+NkHgw/yLe3IYOkotwIVu4eNgxNAMWqhmhWhsLGt2IkzUAxXmVsHNesloBKeChE2JSgdRwEXM1ynBhNAS9cwA20sEq1kr98ukylth2DJljEBLZeSxmyGXUGpR3CXWp160GiGxevFC6V/keKVE4s6zmb9q4BYXQCTG1a1NZgcJkU035bFQ97BTJ0g2EWhwJJgkCdbSSIrmlhCA1f2vMcQNJ1X28uMQggCq3KqG2vTnYs9pla2NgoZFDUAGvTWgdzelwuREbcSQLJsXOJ1vSTBY5jqsgbZQpixGPhJiB3b8jkmvJvb14rEAThzMFGWVWWE7GTJwMdhQ95Eqfwptukswq4GYeCBMYqD1YIHimuRWeGNLe6CrZ5rDyB5EnhUIAXL4Ygej6ubvhCBUxPXmyuw0jEs5YlgmnybayEizuIzBHTZ0KoVmTSvoRGuICyKhHrBIrQ4JEagrcsngdkkMoLIoaWKolA6t/bSwhjG04Kb4LcnLaq5l3U+B/qZEDXfgpGpAm111FJFZ0LxDEWpIQ2oOCoEJQYh888D48j0H4eENCiM4yWk0hJWG7C7o5r6ZKmSrFEj1UG3izb45OT/QLV5sLN0UKGboW6Mk40fRLJiUy9JJgYaxIg6x1LSFo3z2PqgciBokwx5dYPIfrZWUzBwrwjSNUVm1DjYZZB9af1G9fKkY+lmF22CE1O2mH609aBqepSu1KgpLp/SUGoNwQH4FquGmjTAKxEtwGRfRVBkdsXqgdXxSdqBmUK3B7mlOLoDVfKSn60QQmAekcWg49FDooq49ZKSZxqJ4OiEr3DDLDkh6HSSkyadpvBKbvxUa2MqBRM8Q8wpPGeoDFR49hgyUq3B1Igaq6fSXK074cvgqIWJ2gSMTVd3CDeKqBMqPUwFCKcqOtQZpKgzEtlNSzccmPghcypyxgxNwaBIh0KqtI78mtUhU0FoVavPCoUYpmZrY8szNRnOXN2y7jPpCeyTWHQjxrOck1iISfTIydtv9zOwn4H9DMzNQFwrGadJPsHsdgpbOvDgUXzSu4RrJeskNRdeApzBShUOYKXuxIns8TMnP//sI6+9eWESkE9F2DbRfhu+pzSlM8l0EKEO74bBRgsfQvvaS0/Mop08duTs6eMXrqzbAOd37Api3/fKhxdQLy+vbG1tbq7fvL25CQJXonprE7WvHz1xdPUf/52vrB1e6ZGh9eP3Ll2+vn5jY2vl0KEHjx959MHjTz48uGfv6vIhXAr8v/zJd7fwa6Mo88dUwsGgFO7siBA/tmCwo/n+pWt9SKI96chp7X/M9wpdCOfLR7JS17slbljyolXcJPng0s+9+PgoEgZ53EFeTVEuyIiRT7S4+zM2gTF/2qjVXitCp2MukDRsLd42vvzkw3/54/ci8oRsGhw6ttQYm5cHwvviC2ebQkfx+2Pscgt41hnTr0g6i0+M5IGjowkDx6XGSCN+Uvq//m0ss/6i5+3Nrbs/ee/yZfwK9a3bqyvL+MHpR04fH96Peuno2srv/uJn/tc/eRU/oOz4aiwmIknF5VbwfQ2kEAa49wUFo0IbA8wVWLGJTaHeeThINV9D4kd5WbCw8AO3WHFA29luHNfYPfqMgO/I+EXWA7c3N25v4T4CGzevXDtxCj8MfPrIiaMrq6u4QboXJdbZoZXlteWVw6tHjhw7dvOBB65dunT9yke3b23i+w96zbmXiFoiHNmoHovH/VKnAP8TrpE2jAux3cPu7527uH569cjhlcMrR46t4VLg25vLiBwnTB2rzrFA53oqlyNijsEc9hzjeNUOIxxO0wOCbGKUI7xRdxjEsDdS3UN3Lzi76IZ4F61dY+MSxQ0ycPuFu3dXllfWVg5u5Pmkt4UbpJDOoumFA3rXTE8B8JSrg3X34Rg/QNg0vEYxIn4LCgeXTuc8yEbQu3JG+oNBDju7aCqQnVYgv6GDcDyWDlrRd/198mNlAC88tBj4CqQnmHqdhcHUQtF1AOJxXQ5XvHT4ygGFlwtQTAADSpmiKliEw5VHE1l7yktRISiMBNGSoDyIXA545pFfxS33wgyevhtfPsDUIYAhk6eXAA6bwMOiwaY3HZGEZIFtkujYL7NIkRtR1kRNImza4vfBiI/++aI9UZwcAnXF3wXhcxD8ygsiD2cKxMGYQ534TD1gPCGZNSWI4DZqEYe54k9L8ajcCuSaW5+eBOKBM5laAEQWKz3AWGel8ECxl4cNGzao8ByUg/GQB2rsGA61cuEuuQ0i4WpOaJYXSwgiB8MVzIVBNAoGhSdOvQRAIJRqIuylV84lPwPh+GlMdRgynorJ0gyVmZMaFYCoLqOa0TcU1QIhYmEC+KcR+fLfg3gnwK0vvCKIn7DFlawyk43sIywN3AxtdsYH7QyrQhShoShljlOGVssEZGAMhiXidGcOp4RUjlOFzLHjyPcHIW/QGZeitSPHnJEX4gwxG89QRRHgWIqrSN0FLC8C1rWT8h1rGabuBqF4aNuVFnXH/HRJjBHLyUPwuuI81DPswDnD04NBK9YYUcbNrgqnAWjgCwrvfyECEwsWmfGiRbf0wwyNoCb41vCMDONkSD7dpY7NhZQubDj06OOR86XhIx7eCBo66MJFO1wjKsLHoWMggU7GCqYHSROuf7Q+C7EvHFQNzcMmqysEYRctviTL12fJERx7+rcOe+jmQEmSw5IoBpCAEQkyxVKEKieNDcNHyHzui5GIEaMgnypo48SnbBEakyE7u5frwI6GuMmhdT4n8JABX0FSDj3joaZvPKJ0X0xKFhWo0U9ayMiVKHWn2opIU9UCnNLteMLu+hlytg4rYmtz48EwU4gNOk6lF3EoOyAmgMXM7KFrtiVcWKlOoroytUSk1ayxwxDjrBombuQPbmncBlWyxiI1cAkdGQ/gFuwoNUNdsTh+LUCCd+h4sURtLxfUJZOBgJLXOAHh2ZDOTEVUYvk47sTkdV1paRpjVpkwL2ieB/MMwOgDUU2HEiSHR0OeOnSI9dbpUKMzFBzzjwVtfq2L5jU6uuQRm9ZzW1ppoNBlC0SdBWwgKXgU1EKhUyenR5Vtz3CyOCKFUQR0PEyhskevKl3SzJiu6V42qFHcLVWJiMQ/hO0AzFBX3nLUaQa1JHdoR66ApMhV2axyXgT4nof0oKTKW6N6n0QLxB6kVGgFDU1TIPDOKLyvixaOlxF99jkPcwFH2GaZEw6VWbpv011+75toYWhuiFPEfNBmNV9nX7Kfgf0M7GdgXgb6fSPo1Elunj41ThxZwYtT3MlZTwm7mOQ5vQHqxF7PlY1vCj/E+9aFj27c8m+sphQ2Mov+gk+DaV0nU2Jw/4zvjPnAALa3Tx493P9kbBmBeOnx0+cu38A2YzK5CbR+/Ro2gLEBCfrubfykriPj8wF3f/lztIT9h7/xJWy4piF/XPbffPdn33/zA9xH1gFoKxRh3HvyoQd+48vPvfxkXqJ64MCp42t/+6sv/p/f/GGZ90SfCfDboPDjtRoWrv3F3Z57E9PY1PzM0w/PbABjBo1BsBH4LEgM13rjyZ+wNst7jLh7N8aO8QPk5LHDL55tv9RbjhDkK8880oK0C6AYiG/O8fvTuP/z0j1sp+Ni55ocaDB86xUeCbwIePDE2mOnTpy/fH1WbgAExXnRAzBwMbyHdgPkK1iOYKcyeAGxvX3l5sY//3/+cmBQ9iZkgDhR8Eua/L740oH4BsDQDEsL1/1yE/0ufmn44D/49S9gAacKt37/zbd/9vobH+BnkQGM0WDx4sbgoJ585IFf+/JztdThCBcN/9ZXX/j6N39k8wxEZ4GJTjpZsDVCQWMex6tlQaBU6wGTp3auANKxrPoLBYOpxv2fV3HFOb/hcecOD+zB1A7iGHTK0Y5cRsFXq/hmya2tjVub6+s3rl47iW3gU6ew14t9X37RAYPA55H4bHLl0NrJk/hh3bVjR9eOn7hy8cONGzfubOmH2AU0cDXbmQ6p9MbicX+uYgka4exiU3ALX/hA6jZv31k7vHr0yMqR1ZWVFXwrYWN9887GBm/nj7sH++V/s96VmhvazHxPQJUxCHzcFe+S44gGL1dG6U1g7MzqLDtyZ5tPULqLT4s5SlOoc8h7DQLHB95l8SyDc9L26urSKk7f+G4Yz8NDTJ40kwfKnndwh6MM2/GBgc6uBsQaupxGN9AOmiUCkV7RYo2q13GD7DjlsnhFlKgnIN2tpMocILNDmLoNk1HnIBp3n1ooA/qEQJo854/f8POshYXuvQJrxecOWOs4KMjSJw1sJY+KzyGEjuWljynYEzMmqyatLPP8FIzi0zLwAxWNDkADRi21Fo9UOACa8jBjSD5stc714YltVLeY0Y1QOvGAzEgHTHY8aEcrGj5zOGyjx2jaoSZBHP8IEiKpeYRhQgsendo94jO0irEFVaNzDKGQ09KiMEfipkMcgDsvROZqUOMqNOWuoKiQk2gmU81VRC5NkG9U2YM2B2dkKpCEAtgY1TY+w0QnBk1sY7Cx+/QewVgjZOp0VYtfEakiXvIVnfQZgJEzjWDg3rX4gxJDw0+FgujAkwSPg6sQxjoCTGW06dQGTpldU0ip2iTU4WJgGMhUt4bdlWLls2xrgmq4xGWc/DQUKKgO3msfFRLZO8FyRHceSQFhi5gQGgAa9ehcAQB3EEjEqhC7jEgfqtKlML4fKFwDkZxXoBFBaSicIb+pkR/bU0H46DbEiL0BhwiaUu4Eo36TBAV5zikSAv+AolOfIG3tY7NH0pg98AqMO45dadF2zE+F7IbQ4zOAODuS3aZJNLoROVrTOcCKHIQniOdRWGFFZa7Ax3ECu3gfa4FwkE9beS7CC/Qd3MjLMEIaSsHKxiPdMQ0DDmNQh1Z4SpvdA+50wopIOmEQUNfLQ9AdVJIRLvR1jMoLRyvdkJAWJ5tqc6RSTCAiakeahwlU00XJ5WRYdXFBnSZpJj0BCSfZLTT6YM+nPHR89lO2GTbnCPAAzFM7MYgPNlv+0Vhkw5VcYDKHChGi4anIZI9KxD51mKdR4u1VThQ0MxmLiFHxfxBB+kQ7llBvpDw0nSPUKIgXhRRTkKHHVHsgEDVNxQc9rQ9WFOUhYAhjho0tpdaB0JvSPye+CIvQ8T8zTlsOMMNxMwZFBXjPGSERkYUaFMCI56ChaAC0SAdYo+kzYA2V7nNECp0ZU4AMUrS7CjiDsuuW3EZNBVXS+bm1imeNEbWgOQLFUwtSYTIo+nJHwSUnDwKKEbDPQT7woI4jBGzyKadf1B0KOETjSC1qtTStSlsX2TamDvMS5bHNSfBBKxHUlcnIB2Vx6CoWsxMz2wCdapCayAClTFcOkLQYrqaMqUEps5BPHEWHaGSX5yW2wo/TlAbvSJyHLqoRRHXpobw4E4qmFEg0HKhmEZP9OllZMVcRRQwDXA5R/3LmLjgSBCL1uOw0FUxg0NTy8Jxlobd4II0VkKhswQKsF1m49qqk067AVo6Qgi75UBBmp0jS/s2UFZGLOUs0zRiiGfv1fgb2M7CfgY+Vge6dFk4uC5xf8HH5kVVtv2Efr75gPBkDztk8Ge+t4PrXX//ic2EDcz8SY9hLbtMeccbmCAifKnMPkhulKDzpf/XFx32bIxhjU/Yn718qlKcfPoHdON7/uUsN7HGD061bt7CzwecMfNOae4fYadNDO4iPnTr+VHddL5z90Td/+OobF+AUV0/zsYwHboaKTw8OvnPx6r/442/x+tSuPH/2TL9/bMn08DkobmdzQriBeeBrL7URYfPlp+cu2xzDfO6x07gktPMDkrOk51e0uxVHMKFowdi8qTMwZR655KemS19+HkFaf5tBvj8nyAIWgYo5w51GceGZSrqExGV6EWNj4uWnHtariFSsVgtVCQSqVsXBpRfw680zdwW3BfJVzgpjZwKD3sIPyPqxdXerHuDc0eM29sju4gemN7Zub2ziCsmtm9gza988ILw/IeBi429uMgpc19tdPo7d33t/9Oevf/+NCxCtHDzIx6FlXGi+qi3lty9c+cM//s632+8r46OZg8+dPXXi+BGllkucuXMnmujsPLqx1EZVQzw9J2O7uf25UcwVAGosQ3/vBR/VrOIu5djU2triXvoiZewYNmbNjYAvNPlKcWkDNxi4+MEH77zz/ptvfvjee7euXb93W/u7hsA28PY9/AD5sQdPPfzE42efffahxx/HfZXB0QvNufiMeiehwxuMbYJl+U44AwR0OC4s17t3Nzc3b12/uX71BpY1rgY5vLa2duLo4RPHVg/z3tp7WR5z46LvvcQWsWK/kjEOy45Ohqqj3tByjDtSXrhr1N3QdteyBt02auEgOsXek9/v6IkHpCYzTiSdAZcCjFqieUJY6KRAEymDQItelo6kRGjxdkt06qUR9AkhVSqIaEqNatZSy27vz8qznAaS1CI6qdvaCasJVum3vBZrn/gkMpBzn1g6S7NjIrpsiqSsFKwYqzJB0E6+gvBrDz6vz8z1pL6WsL3ZffMT0ZA9OwQrS8YrRKiSajo8FGejMmy+MBoUdKce0hqpwi7ioDP9yT/56EaxlkMiK6zIcITi0FxRy0qiZtgEVCLfpSj7M+JIqrAcH51XYFTOh+7vKtw0Zoe0KtWdsmQhtwYDSi6IiE6UOq40KssoUjeVg50BhrcAsq+ybGGnFc0YgFpjWKloOYwQg3Yq5AnmkhFFOOybFTat4SLgqpl8aPE0XVMGV4QG5zsEvU2gl7jSzWKpMogkFAZ6NoyeG9TiWwhIdlFSKmCOh3CoDna3gLYan9esjyhqEZAX72EUJEQ5DsJUxEZVYHKuPmxdpEkybBWA6Xp7HjIFbBGB+K+Qg28Mx0kZ48mHHcAkrLiLxlJdddhzCc3sDlp6yNLRNYSQKSegrR3BqEtwly6AAjXR0DoX6fWvpFWE9tQC7vLJlYDiIeAtrdaFWLtUzAmUZWJkcALNpvJKsvLjJLiWPasZKS2kY1HUycmkD1YFmYqH7tIca6O6DCy7ZmaNACAJh6IUt0wjOJlCJdSmgXRwtezhcEwPXRv5xXejFSQkylg4c4+h0IUqqcmvw3RsEUvEkz2GSRb/BKCuq3guc5NPbHoyzKdEneT8tM1zHc2yskiMOU/ijFUFI0KrELJlKFEqLqm1IG0lA6HIIqiJJuHlx3KykkqL4ORok13trIChhpitu6bkU2QEmzF7KG1khnAaIiqoqBgcTBTCq3bD/rAERxCdutiz2kPb2ZG1gYUmIYzVgrEbBSZmcxMDsYnDHnqc20tlY3WISoMA6Stdk4g+Grp1ZXyypMngRVibah4NBUX1QUlR1i0GybvurCWFoWC/VBGTYVmCWtwmYHDkBUeEjIgWRtmSQ7qhkMZpQY1aasiy1UJn1wVyogROco0g28YaUXiVQI6gUDHi9iddcUdWU908jwxktRCTUJsVTyY1iCLSK9uJ4JueT1/NH+ECuoIREc6L2UzmUenXueiDVJJlFrLKfGF5IqLb9D0dDSuzDUVAUa8NDZQZlhRtTX7YRFa4BlmFYEIiWuEFXEUomaRUVimCCPyni3iYY705dT0vVJKLY4viZ3cO0D57PwP7GdjPwF4ywKew7myXpnHaz262OK2t8fa72IzCSYlbeSkZtjiBjc5hQ/mkz1J55tFTvIA1sdHWo3R2J2zT6QWI9s+4X8rTKr+vgw3g0sL9mb/5g3eqi73GF88+iJFCrS9+zhCHqP4nprY5Ee5nsNfYldfeuoDLmnnbYr7tW1rGDqYeuJIavzKsFyxL//ufv/72B1c6owMvPN4ukJ0ZTSg604iAty/VkCD46kttRD989+K/f722lpdWVw6+1F0cLNh52H0sOQdDnnrT5o2L2NDBkuF91RgjukjsV158zGBI2uvvfvj//fBdd7E2ECSvh3bODaTlhArXvMZlkdzw5j7+IDI97SbOoEXan3/8DHbcB1wZcwa1Hhgbc7iN2fnKi9P3fx6Z79DtDysMBTvQfOgCX9aH9DAza64NrS29EpnA5lY/Bs5Z5/fa+uu8Efmrb5x/5/wV7fbybTLQ4HEZj0OHsNLweQMuQ8cO8Tsf1O21ORHPnz0dnmLO2tRNRLArq6wxZj92NdlBodDGOnMFUBzI3EF9XwXHJn8AGF8Nwf2fcdk1qJ3LwNGefXPyDyxtbty68uEHF95++7033rh47r1bN27i18e9VImof9wj+sGHH3r46afPPv/cqcceWT28hnc+06E5ioVlpT4eawmmoeZyeVBuLyF7mzc3bl27sX7tJu6Zv7yyfPT4sTXc8P34mn5qfa55zueO7ncUFvSsFtPNkzuOJ5yc0lUZ7IHosD8WztBlhzoUjHtQ3KkEzseLbI41Tpo4OPAFFvyuNb50gi/njFeOI8MeMLKts0ILtXtmBby2iZsQlE2KNURuvUalKjgAHBZrDdmzlgObtrfaFEm13kB9x87QsVRnWNO44M5opqtpi5Tut59YBnSiaM/M0QV8rOEm1zJvmlbRqSZ1OZ98/blrcLNqmG9NOSt5bn6JlgdUcsWKsxx4YW1pqhvKMscupMJiz4Ux7xr2aFT6PB/mDMINa9Ph2eDs9CXDDT67sqJxH6b63A7Q6CkK2NS3AnshZBMxJEsMxRhCooSattK0xZDhFRIZAhWHIH0hOIvjiYaaMrGhnOC5u1gC9JsCMMkue3YZeDwkRIUXdzSC3rgEahcTXyRo50QgHiA9kGKYgROG9Ca2wU1748WKMggdNFNltBysMmDmeCDiKNKjqOiKH0FYPdRkQo4MjRAKbmyk2ibOEUdlZioQwZ8PasR4vQx9ripBc9B4RR2ehMEu+lCqrU52ZYJWumjiETjCblJSVBWOCOu3V3OdDMo7ljaHsbvbA9oR7OHLmIqajsuFdHZ0EUJYRMRDkxqG9fyKFHmLLs3onQ8VNs5zEk3U6yRtq0+lHrqIqe0CFhmVpew4ebGXmyrKCYV6BFerJTXCWW8HZaOVjjnxBYhEq/y0JAiMVmJFSNInT3yKqGGVWHLuWj9q60iNY3RXptHNoUHCSAQvCvPInry00EgRmhD6VxO8wAcrwcnh0wXPhizRuKMTcOjKILyFIuGryN04mgjEcTAmF7oRpZodEvjXI4Vg6ZzFys+AfCOmd2No+AZCAlPWVE1t/6sJHmiXgU+OAGyNgi3JDMNM1uLoAJcycUioQrTFJA9FMpNCNJncHG4ogh0DFkxqhfnujewjEobCcFkTXqGrlZMS0SY0TUY/DBNS9gQSaDZmGNAw0shRkBUlgqChOSVJjTkt9DgIPTwWQjEcIkRtonnDksYy1nlPxoVNmygdmaxRO6EhF3E+dQB0DTtUbPVSwLGi6+cziowcQbPjwEm41xjsq1AbJY2TPdmGg5KVFQESm0wqmkPkvk9BSAvGhNQk4vAEF5EZwigEJwB7qWblvg5dslId9JwiPMpMKDx1YcyHinwS1gxRjiMU0MSMNQYonTKC4/OHmHmKqPNGMnpjxp59O45Qk52xMPRUnGoLnCe16HTB1KkrznBTEMmTH1QtafSNnkqmix3RbKeKtS0Z6xDdDmhLTcOaKW/0SS0JS4d60sWzSABQrQq109DMQJBRqZUo3MoEzDAPBArrMbJdqJuTUhMxtErxkLvf28/Afgb2M7CnDMw8L/msODg3NkC8X8HPOEKo315t/KL44VA9jRR3SPDMiA2BIXPU+9UvPLO2uozz3MSpjqxpSbDnCCFFbNqAxBXALDhrP//Y6dMn1sr7t3967ifnLt3sbkD98pNnps7CnQ/FIzzudLJ34AD2NQoTxLlL1/UMwecJbc3xpSH2IrELiL1GXtK6xMs6v/Ha273VQw8eQ7fz1AvNxniwp8ptVVymzKtCt7efP3vq9Imjpfqdn51749wl/OSwOXD1mad5d+icKMdb6kPCkzQdQQbQWQzUe7mdaXsVMULt2bOncJtrmyLs7/703BvvtyCRkFeefhhD86fvvX/c/hkXToODmz/jysLO+RS5vX1jYzNfZi3hh3Kfq83OVAcUCmoE5gSie2xtBb8ZLAlk29e79RDMvTd4KX4Qd5PDAtDWLImph1+3TB8dGatnHIcRbqNdgWD9XMANrv1KRG+TgY8u3HG/mV84IH377vaff799xQEqXGZAJng0hbk3oqyno18YzDiF1uzmCkplYDTolMpiBFYszlH4tWl8GQGX//I+xlodemE3DTFwN+hM6+/ExengwNatjSsffHD+jbfPvfHmxXPv37q5zu9QZIEDxHJkbe30Y4+efebZs88+88BDZ3B3ZW5kujgE6QWnNdMyc5tWUXMFpbEYgXsnbN1ex6XAV25s3FzHAby6dmTt5PEjJ46tHDmMl8x5+iy03RxPj6PMGzEfiAchHfupq1ksSA0jmO9mQbimtgBU+QYxt4TSAnBzIXY/MeDpB18uQQ6xAYz7DfDdz5ziUCmf1gHXglTRmhDL/A53htHJFiWnkdMa0nLS0ylfuOWwPfSFTfaiqL31hQw4inzXupDB32ylXXPF51ukFOcQrhSrs24UE2hppLJP/9QZrzI+cczKNtBMV50iuuYLypznjq9QIFGLoOpAjWhpBSY/NQwdh87h8LFggWI8mhVdiUkUBKiaIWZ4JNStSt4kV2XnJAlBuCog+fC/naestGgim+Tged19xWUajBSLIZEA7T0gIk/idSDshxlh+CBDjYENJRHDrUdPOXLaBQCvNOG7BhUBUoAUmgNS4OhaR2GlMHRaQwH99hXhyCB4vCPsIrI+ZWlLkhjkidmLLCDYTkXexgoKLXDtKzwWvkPQ2B2EIVoY6rOLXFADJEupDbpWKIfqavUzlTDBuyXWsAEhFFLsCgYyiZyyUBaTVRpoKwBoBJQZKvVadDoaUmpFIZAVBBoX2sYcgWFQ4aY8LBijFehPjolm2oZl3hFEkWHA7akpQw2Rpt4CUQ6NpEBa1XZ/ZYuIHXa55Riy9HTyPrk2gw8v6HoUqsHkw6UntDAYcydKvVTPoaHPt/oq1kH0xen5pulRCWRXAUAfBGxp7qEneDBlaTWbWF9sWZiSORVUiCQOg1OERNNcsJuc0rcVgqB+qCKwiEoc86t22Iq+ePQQSLKEa0VBhchSNKUVcihKoqpAaF0PmcirvNBQQrLoGBX7ItUR7X4IpBkKYUDDfB2nl3N6XZefMOj5Wpz2TsZd2U1XEQyFDknhMVyGAaYaazlG60X4FFjL8KRNVe1BWc9Ccawmn4FFC/at5KaMC07EwActHGWrRSnBdhbD8QjA8mTJcRnTRlg2Nr8gHRg05NuawZOm4m3msNMfY6OFrBh73zOWRpRV6Um3QIlCbT/YUjGgIUhUckQbb4CWLqLdSTZSra4d0rF9OwgHQrf+Dylj5B+K1MMhdcwVP7FDml3jV29honMKG/lyHaFHSOkNbaWsBeZwIWAJ12HY1AnfHqlLNSwuqtFytjYchPxboBghFY3ZenYjrpwaM7UYghwxnsXcJfTurYDHavQ8GrX6YmelaLIzr+WZC6V/h8IPSeYU+bVzajBprZc29JvcbK1M9Y4jgOgzw1WURgvAMy6FaQ0WHyoRRmAxHv/hKVcmoVbKoS8IAhJVf3IjH8GkJv6GRTI6G7KzN4+f8mjnJpjy+ekfoex39zOwn4H9DOyeAb3Phdqcs1YPwPslHzhwFDcQxv6tSkn94flipyec4XiSG50Pv/fG+TfPf1SA+KXIX60bQReXRJgPeO7seOoMS+5BYqMUhcFiOLhbckHh7rs/evdDbLK89vYHxcT28CMPHq/uIAAnjZsHDksRqDqO28Z2Bb9prJ4N+KtZeLbAsxC35Q5xZw4EHm9/eAWBld2JtcOtU9xyBRn9ciZghQHxA3iO6InSxYhwa2X8PuMPckTw+9ADx/AonWkih0ZvrUxzS86IFFVvJQAF6UtX7+Eq3qWvvFDX126vb2z95P3L+J3a778VaXeQDz94bOBcawZvlw8eOoTd2rvYcJjdAI4n4YgI5pevrtd11cgw7wI9KshgXFarXB7g5b9feO6xZX7PAWV768691948PzLaa9dYe7Ua6zO3kWCIcAQd65YZhFeue5k1O32ylCuN7+R5vL/z4Ue1zJAw3ema0M1sr9THs27e5uLMFdjWYtRRdlFPtd1arLTVw7z/8x38tPLtu90dbIeWA3eDzlBvt55NOwAc0hsb61cuXDj/5tvn33jz8vkLuPM8z5zd2ROzunbixJnHz5597rmHn37y5KlTmFMuE66UUSkHA/401ypdMAObvXYKB8Sde1sbW7eu3ty4dmvr1iZOf0dPHDuK+90fP4p74kvR2qjnF6vMl1uyAJAWPrPljfMFj9QZ4MXi2S3eCGbXY3Ehb6G0kO7cwBawZspwCsUG8N07ODfj6UzLE5Y7lQUTzcU+B2Yef476XtiCLnwRE4cT+KHTHY92s8vgB7HMGA+k+53/yBnwanYQpovTd/1JPU/NXBOs8V+1zL1e8JwsdtYzw6u1Q33CdA9wqC8WpRC6UWvaOjZLWlbU9N5RWBFA/2kYHTDpJzBNsbNoGVsISJUij66DzwiBTX5XYnSOiR0NFtsS5CgDMMhASZIXxR2AuV9NEdKnMDhhRwY4foinD4usRS68awzhWCrkqFBOuj0slzk1DG8FicjQvgdFLNUmISywq289awaSYoyZldin4BaGPNuQOERDK0i1jpgKHodCtUaFTfzwSi2ud60mdmToijqCkwcDE2O22Bf4DiTXpsAcScEGQUfSD1iwMVIjSwCG3VYEGY1itE4gyNTqgtenxpoMf4CMF8vQZG0xan5yKCCyWJznUNPaUF68RB1XhWqYAKAxB8MH48liGzJLEKyKPQ0CvjXUUOhhDQR7AL4f9iLacYZvY1A7ShHJWLQtjCJiguSaw61gQEipW1dk2VNN66KO71dPAYVTNIyoYmCs7ARTfNAsZurtFNeAOdKntgt06iGOYwQZJskMjjDJs1UnBSciKcD0hZYHomMrB2lbwYAwhsHZrYfMiSAdHdY5JoRqqT8zF2xXcaHRjrPlw4TCGjbJHAwVJ4oRIBBQ9nyGn1CXmvjCi23gsgWRDybKqARnh1VI2YgFNt4RZ0dci0rTKVUNtXGpp2oK8CbCzU7vpUcg7IqlKGjO0YmllnQV6VLoQKXMnswkJDVRCJVF9uEgTTl7KKGmmMIg6M4+cWjrR3EIkQ/GKCuAcjUZ3BMLLf2JnYrliRD6N4BoLzGi0BnsqKBO8oa+pWQnrmngEExYHXXvnl0WgZsc14oJ7jEQw2UtdMVFEy4qPTmmWP7HYHS0S7GdcRU59T0YE05FBEMB/tVTQ5IhsJF+erSZxAM+tVjCwJ291zYvJ8RjEUPgjkqBUcQAFXzQoU8bWUFotWjMVJY1PNlCg2qaGgPYKp0bLRDVcVSNvzMl3/ABrTSMsOxYg2YFRdFUE93jpowoCdPLd6Fl0tnZkQbuKCZrMRmK1NN8jNV/7DDxdneXyJSUbrj0pqKMJMVhSyB19iILCMbqGV32x25T0fw0V88jTAOLqo546D+g+6dh+w5JBqhshbLtqGCp2NZH7UIQ8ysSE+an2n67n4H9DOxn4K9DBvj6frE4eDLEm+Gjh7kzpn0o2NF2sacKv1R2zZOiTr7NM0D+1Tdex6+eFuulJ848+9ip7MLQj2TssaVj/fQvrv315b/AWzu88spTvBzW5ftvfahf+dz+7s8GG36fe+YRKQwDyB6Ro0QmwcEPuyaTLS7JxQDjDQIZvAoWWUAScHUm7tC7qh8Gxr19/8OP3j136dr5S9fPX75+o114amS5TL9EIRTnAiPilvb2Ni6b/twzbY/z9bc/hF/cKPnVn7UtbdwWmNfXzhbGlFx7oQNzuwBSpdrQ5SZK8RphnjZZufuOII8eWf5Mph27Bj965yK0IXrtjQtlxiCfecTIYuJyTPzAJG7/rO8fYLcBdx2tCyIVIyv9yKNjNRTw8d0C00j4Ew8/cHytXTWr2BARN9D5rwHgLtNfeT72p8H88XsX1zdwA96PVSIxfWSL4zkLkQtCYCAu/fEC5oO48purIBaGdfjWjscud39xcd7y8hJ+VfY/vP7u+xev4XHu4rW6OjxA99REVHuymVKeizNXYJSB2B3Un0jZ5uGJK4Bxlf2drS0skAnUCfcTWruzBjhD9Xu8+/TG+vrl8+fPv/3WhXffuXrx0p2tTez7tqMVd/k+vHriwQcfevLJx5559qEnHj96/DhOMYw5sjHtYCfutGwY2yK9KRwcadhQ31i/devazc0buhT4yOGjuhSYvwrsDexJcKOh3rEspCWlOpx4ZtoRc1q4kKdp0wnuAhHY4YTtiBWjWQBxZFjdRT3RgOd+3JLh9j3c/3kVSxMzWDj3Q9QZbq5xngJTYdxP/rx2r/rzcObyOQQ/5qrsKOhtP/Vgd4zkr1D48VbNX0mgei/PzwDsresGyednClFzDqtOi52jpMkuGno2T2Q5kDu7FN8RDHAYR0aAVh0BRZD0aRWLqEKWHhSisCP+ANmyVoewU5Y72sqh3KhjwF6qCOzDgA5JtsRNCFgSH31VYZaNPEBk9Rn8EIeCjfg+qD5PFKyR5QYkP7n2x7okiIyHCsNQMd/0sIYeGAmYdmKKT5EcCFWAEYyc8K0S/s2XiiDIRmHjGNR15fgyRPFsHpuUqSo9us/gGHhAcFx8yCM1bGtV7RggYRJTjQpUNa3GHfEtHdX0o0HIpvOsz86Nae8Jy1aRhjv2SGoA9klQFvakq9q8oRodopCZivz0GF1dX0hZ7AFDrm1gCxly5D68W40o3jMmKmCJRGZEIoq9/r8Tkg9VyGmrl+3BYSgSqSaTJaBpEpi0C0ESUGKhApvE7+M0MoX3W4a2ASR3RKR/8tRG1eKBSI8WmzTJdCki+p9EMwfTccJBEBkx+1lC6ph7pgVcPDIfKkAx5RoXF1QcPRbBhhx1WHf6zIz6ZqIDqECrUEFYLS1pI0Dro8difRM2SasAhIqHkDu+7JoDKzAHQepNiExQRfSETVa09CymguwUyOeJryzagUVWbz5F64QNgTyrok0riiPdZStgdNxmctkNjxRZnI0RlXOhkCIhuei+In/3Qh/WkmfjkkRJfxmIVAfhSQ8jDj/VwjJY46bnk5aiCGChQ59is+bSVGUFeZOONWVMkQuofKi1Zg5DegJn5ac5ueRgqWprRUDSTAjsRXz2JGOUKKGXcZgZhmCWrdCMaXZiFjjdJ3bBEZ6d4UORWCLSbrJWDELiGUBQhR0+wEyKCo1WBK0aSno10WFJh4YhRQkqkeyZzAaydGjN5mwqEsP1OvNouU2hossOXbowGHuJVvCWMixHZlmjaQue1QSUUXUWHEwY8mCABp3ln6yiR73AShyL91TLl3HsBNbiacrpomPLD6TdIwKUT8ZuqOiyv2MphSKoXuOic3RVm24cM/tQbFfh2nEHHBbmL1wDgEmAcQ9VnaGMelNuRmx1uyrGJjdpHmIltFQrG+A4rKxpJmbZBRr7IqmJP6nVUNIb00HFYR1c8yFKWxKURbHL7LG1oxT3kn16PwP7GfhPNAP/CXyWhczybrr9eY3J7k9XffKxI3Jg6fDKIfC4zTRnw6+3EF2JKGJ0zpPW0oFL19f/9Xd+9rtfe6kQfuOLz2GParSZWtKFCfpFtLzO03t93AGm9Zd5oSeH4/Lqm+eRinvbS+9fvo5rdusexS8++dC/e/XNO/jlVZQchEDDUCnUUwcYyN72AexrlAzEL3/uqQ8+un75+jqslF2d8/kDxNjUXFqm1SHs1QDiz157C7Xf2UhXcPaarhuypgDXDGP3wmP60vNn+xG99tYHwMdW6XuXrl66tn7mJG8NDc4LTzz0je+/hU/sA6pzQk44UqTZkWaGH2Ypmw0sFdhyqXDHB9f4ouBnkL/w7NmV/C1e7Lu+/s6HWFd3trffu3itD/LFJx76s1cRZGylY8p4++dDzBa2xHD9L8ErxozBDIpUgP/Dtz/4na+9pHWLvfaDLz115ls/fl9CrgLFxt0fplH7x4+dPnH2zAmb42Jx3J760dMn3V20zmB6fTjKcHv2gB4fiYVjQtMEHbRcbVhm622Z4cLlX/78Ux9cuXHl2q3KCj2ygyW1fQi/ZI3rzDkJB/7k22/gFTM+BuLqH3sdhDTd6QOzs2m93biFM624k3ggG3SmsfbAxWHFe9QvHVpewXpDuu7gMnAsEOdy2tc0d3eni9hhgnAP6rt3b167u7W5iZ/RfeDMmeOnTx09dvTgMvan+cclcejQkaNHcRfoI8ePXT1+4urlS7euXdvCLdDvYeIdegtn2u00t1ntmZoD6CWDIW3h+LxzG3+Hj60tr6ysHUe9fHB9887Ghm4pjJsldMtrDlofFVQ6g16SdA+ilY/zIWU9P3WHrbE7vY4cau6lN4M6z3gXb8aBMc8zLkUkY8F2r3bIH569+B0aXP6L3zVAQu8yn7vMxK7RwH5PocjlpNEks/x30o4s8U7EDvFRpIh2sg/ZXt0uALmv8sllAOdPPX1PI1qqcwmelPnLItATxadpMTi/+smRQtDC2WH1lKIJQgITf3zeJ674aJIMAl37d02r0JWBujhDJA/2fFoTh9EoSJ5BxNQznjxNDd8hBOyoCVlr+OIWkUdw/sAsYxtFSOcURTwISqa2ZRold4WaaixoDyJ+UOk1WjJzvFRsX06hggITO2HTjMyJgmilEWFAQ33yikizTBtMMsyMxDmXYogCNW2hyGd2hUvribCCxUZPYu6zTi8JFm1TyMGmLgxiQJyb5LZ8YgAMaJuvHwUOEqd9vIrEmwjCKvMWoUtVwSxWZUorbIaD16yxYHJEVPMQGqxNpelsp3KqFKbjtD6ZzGmiwRmXAmzw0g+1dmCBh/dnHDFGAzv8o4NfppEL4hvMBGjwJXIuC5yaLGFHfAyMDHJRcnoDzg0zEApuq2sj2kWaoeagSWgOME8IF5ETIWHCTjjBL8xiWmlkEpZzmwgAchtq8gHJ1JFHbxUMWOy7ZADkaFsabUlBkJZ5MW33MWugMTIUgCtLEWguJAdf3q0b+orKgaMOHRHRa9qNsohJqLRgvHjJJADoWeR4KkV1lrCXqNOEUByBlqwi5ypWzsux/dZASKCYa1qpMJ9oioOLHuElFPg+LYCogGnHjyoanNc9+2QOC1lDdo7CwbQ4ocY/ldLpDhgcjZQ7X1ruFDL08MggsyQv+26dMeFwiIBj9gAJfzxuaCVOZ5ZIalllbBlsthR1dhNkatKPMiqntNNRayJANFpyjGOnTJZCQI0/k6lixQgvZ5BJZsbg0OrEVZcDJyUHmVQqOavBVhPIDrlCCm7fz4jAE+lGsdKb/mRmKUjNWTiha4ZmREmyky3tqFH2oRz5hAij41BVK6sYI1OAseI/5tsYyhFHG17pZKLIH/hsY1weHWoTwbUUcZNLcFn0iDOMXij9GnVKYMIQuUJIeLEK3hObmWiJozZda9z06CBBkagpTwfRxkhG3LldhVWmOY0E1wGkOJ14LTFNLSOCCf+jtL4iDplzIDWOmaNmRzQpZbggPFiaGiNHS5MaVBFpBhHl7KpSg6NgkH9YDTjKHsKABUflkbEvimG1IMtRI5qj4PVRNZpqUg39VG5AyfEKYDBtWTjpGB4PaSINUdK0gWXeyJFBEyXVYktOlzSwODMuPVjpFmGc0lbX4VWaw1X1yzZTouc8DmtyXFSHiHNiBU2KVgzC5EpipDnL1inNIGoM1c8sMnKtRubWGZYXR2v1Ht/RMCRSg0LlSlqNJfXCc1qUPBn77X4GPo0M5Ir8NLD3Mf86ZQBbb4uFk2q4wSOeT/BZ78SpeYyEZTS1knDqzOfysiD80oFv/ODt9y5eLeaxtdVf+fzTApnBmWGUVUcwAP6z4eVweOB+yAgdDJxMf+7Fdv9n3JH0vUvX8XkGIoH4++9cKpzV5UMvPfGQUMgzYEkRNkxgph01foUVop+du9wUDhzAVaf/1W9/+W+98hSYDED7jX7+gz5uTYxtUexNksBnDISrt1vwxujpdaaAayROhsLq72iNEZ27dBVoep+J+xjXRcBLR1YPvXD2DPEYrIbkOsbGCLqBmtsiYN9PW6EvkKlKNtxc1e8UM1qMse7/jKCv3Ng8f/kaRo204ZLeV98YBPni4wpSKUdeDvE3kw8hfdgM426DYx7V5HpUpBDAra07P3r7Q3b4EcPSZ57y9dzqM7GM7Q7XBoPFDvOXXnhMMhhvX1vf+sl7bSUEf+fGOSEY/6vUTO1McKXCxiBFeEKw0vSiRCsEKvfeOn+l8CE7dXLtH/2dr3zts09gLLwoXA8tDULCFHnG8bvCLGLV6T29lmsD2ZWaDWxXk0kF4zCuyVJuJqXDzM4FmbZdkIv7P6+s8nJzrjZ8C6E/IADRnO4S6k7uGshOWpLhADmIlb+5vn7t8qUP3nn3wtvvfPThxY2bN/wZEo9HvBjdPrC8srp28sSZs2fxq8C4L/TxB0+trK5ylWtZ2c2E248xiEHoBb0AIDN6797trTubNzdwKTDubo0gV9dwKfCxIyeP89eXDx6KqBdAqzAqhOKQmETgYaWDygoDg1HHqB12R45UF+1WSAtALaAyZ4yLRpN6C3lK5Wz5HaS720v4qgFPofo0fQ8nFhjdbylTrv4EKSIZ43ZXhaHBvJQM+QNQdHiq7s8T6g6BW8/K7g+AmsqO9p3aPvlpZ0AvEnHmaBMlmhWeYvHSrXV5dlHPLbuOjrpRpiZW4tKIHhTTRDjqcKGFR0vZM8fK6Y+9oqVjRpmDCA6b9FUmYJpvzqjOgOmbftx3IyiBW0IxzImWtdHSKHohLCOy+RpGxTrk9I8QZmNR9mw36OkVNyNBgbJbN1Hbn0SqOL0gWNFAvDSQuwqMsamIk5rR6e3oIt0EJpFThaLsJK8sZAgNKUBqHLmdqAhLNP2RZM8th5Mg0vH4BJIxhwHN+e1Bnef5vof6UayS4e4YDq3C0o3f9ASLHSqoErgyzz7fHslUcbEK52rMtJwMSP1IJdqSQ5XAsRZ7gFa+TVuTgyVTudVbNFMGT2mEas0AZ2Tcm6crye3XkQRXwZhjNegqMBp4MIQpMlnZhkD4HpDsaOF/DZZQ4cSwIZYLgReOiejaixTSYbY9s6PpKK0qbLvmiB3cMBiqIW+yIp1qJtJfawu2sXahIqKBlryAo5hCgctasbl2MKhb4XctuiI9ZraswCnmUFFse2vuOhVPGMGaC6WF8HpQWQGTSA4Nstg1e16HIByYCUcgmppZmk6P6ZEKBxY0ctPVGSdyaG6E6WbnOk1ysByXecTiPxvOjsIzmASSeRqCy6eFtLBh1mmWfbVMiR6yYSXCIArC/fSGnuOI1vwMjCIahUrrML2OnU30zEsBXUvoCEAGhwR7GYj70eXpTzJpGNr69gJp4KoNBWqgsJK1PvsLBaHRynZq5YUCe6NvWWfjTtSyIKyKHJgSJ87XFgaQdGktPDSgk6dWEpiYLcUCJ6r4YUNBkRqkGBoqzi1WpwNqZQZsEszyj/7sA0YNnx1nJWr2DG4UO2jMkpJAkcTkojW8l6q8M0b5RKOAMj71ooIRlfXnIGUjLOEZaoRc3fshWpgxzkpOEINos+OIHGt57aA0juib1phhHggcIhPhsZKprkzCLuIpeOtPcIlTNr16wma0ti1X4TyDUIRTlcMUsMXlo/dbERQRYyvtjiAOYTNyARmNIoWoaKnSPRwErZxA9j2MBE/b7GdLExSNJRGLkUqzLQ2gzkJtFXcneanStfIo+walbqczdAEpZH1N1S4AW1qhNJ0QaxK/KxrEGBByYzLApI1sEEp7kCE0eiW069btRMXcJ/YzsJ+B/Qx8zAzwesqFij5fxbU9eGCbQdtv+PyznbNmQIafjpZ4DhunP7xKw8bV//Znr//3v/8LuIrIFp975lHcg/edD9uucCHtRrQdD1B6bHPbMLZClp44c/LRU+3HfV9/+wN8cH0X+z3c4D74/bcv/upnnywXn33mkR/kL9QW0wRSQAPdzBnJwWfg2If58XuXPrxyE79iW8rY+PzFzz79lRcff+v8R2+c++itC5dxnRvT52eLfM5gl39IU2Yq24Iy0Q0qtvoef+gErl4tNYwIWUUi795bwp2QcX3zr3/pWUsRzGeefviH734YTpoLjqa5rhgKtGTNpJONSe464cEbLLNGnpbOdmkHFz+6zE9cDt5F3h3kb3z5WcMgyFeeefj1d3hfaA0EiwKaS7h5LAogufz6YLUcoTl6usQF0LgL9Be1rQvZgyfWHjt9HHfY1gYyr/rFhdC1LA4vH/zCs7EB7HisNh7ZbN8Jca3Dos8QknAbGyRT+QwkPecjPHw14hC+tCeKIkFZx3PDlYbDcPsgNsF/9t6li1fXH3qAF3arLK2uHPq1Lz378y8/iV/U/um5S2+du3prcwvYsazkBZpCJXPRMhiME72o6VivEgXvEwH0nqZNG3cn3aZ1PxQuN8cXMlZwg4Rt3v8ZV/9jYgwEpxH5x3B/n6aYMm5Ir9+8sbW5sXnjxokzZx44c/rI8eOrKyv4xr6PN0zrypHDK4exFbx29MQD1y5evP7RZVwKfPcu7mSeK6CScp+RlL2IHqSnh1rDHvRiAeLHvDdvbd7DDc2P3l09ehiXAh8+tIb8b9zcuLOxxR+X5Sl2p7KTz17W0x0e88bjfFI8w5xhdEiLkYshLKQ1UHJn51TNRFhGRcyo7M7gSwLc5OHOCn9DHWewPFh2sRyF6u5gSHMBoKtDMlbGyEjSaduRz2mlWS7W6sjHrA5HPVJa3BtyxrPMTOkxe3pGcZ/xKWYAJ95+dtjFSSMa+DWFmqcqTjoILk1+0VCKnllY5VnPcy02zaIUkQxBqYJIelShD7xEVgTshiCBoi8u4kx2RCl9hi9AB4QOYxOLbbuYIcZDWZhogNKlvso4bMcIGEjx7/FJicb6E1ss6ljDBrJp/qgOz1Zp7LQQmt1AmIBg6FisvtJgNcl6TUGVZkTbsCDR5DMO26bKyJDwAePG0ZaWXkXwGwIoiWSyrLRawCuGs443RzIAuzMMJaqDrByWNQQzhQh4DSm+6qgcJGdm1jxSr9FQT5e60CE4PA5k404YB3Po3ZHLXwgctmMxCFwRlEFIOCDIJEMGrKTjlexe2DpLoZcmsqUaLcNUpDkcug9xrH3o4v0KlPh2V0WuaIz46CVRAsFi1fKHKtLiWOQRhjJjEyT5VBVfWMRQAMEKx7a0t66msh1lq8OYh69ROt0g7asPNV3EqKprg1G3A6Qks09/qc+2zhUkKZmG6YKxTq/GDFgBRJZeIXluw/+QqR5nTfNWKoo8YjbtM7p2PfXWkoZQVzoTUsE4AMaGgs6I6b6lXU22EmGC46quUtT49tvZOgm9QnjvdfTynzoyR22aRKmZJZ0BHx3NER0pMFtg+HxPkUzgVP6swGMGxU3BJmGdeTUtpVkQ4hQ3e2mvAHnU8M9x5KmiHZERX4UZ2InhAdTRJpyoKMJBAwM8DAgU2TdrUwEaMmp5xJkGtx5cQVBb/0kkqnNQx4iioC7Hq1UbipnVmEOAhT8qs1gv27CSzODWIw1V5QA3cVjCmyuvfKDF+BlCeK8QiG5LAocvkoNCfgsgIhWTIabQhNk2J805o1cD5BSDTWEWg7CXww+Jc9EhcBDU5vqVMhRzUOLTIYepOOh3xxL5pQ3/HJNMTUuOPtvQFbJBk1MuZL+rU6nDti0ODUZPv2TCFyuCaSACFHSXH81quKKq5axHUY26FevOBID0XEMtDF1Hjim6iPQyTqaOAeuPGlWU0eoRxVJamO0EVMDE4vSlGLBSjMq9GE6hUZsnjCrKWxdGCUTAPLyOurDgIePF5GNGCYjlo6ZGRgAAQABJREFUpqAi8gyzR64Yg6lhKJSBFh1QNSUeRkarHiz1FoAILBqwVoWCU/xOQjAzXVafqLtcCY9VJDrjED/DmIDIidhJhaj4i6UyBRKDgW9N9VglpjbY2cs8iB0D9yrJVPCcoAAzIWNg9BMtgux8cEhKR67xhAXfgIyARyhRSOJ/plAQRWC9R/C7KWiRSF9dQ3YYibXf7mdgPwP7GdhrBhbeANYboyO4dS9u7+ibIetMOuVv8ryn0+EcCUBwwsTuHnYycQ/bf/vqm7/15ecL+Te//MIf/r/fxs1CeUKdj1D6PAd3HVnh/MxNSF8TCQWcTL/6Urv8F+o/wI2Isb3ICzhwoemhyzduvX/p+uN5K2BsrJ46sXb5+q0euGictB3/Mu68dQjOuZf5z77+F//d7/0CrEoNxOGV5ZefehgP0LhClz/Cevm6bn18Mz6U4RNAhp9tj9DR3aC4RXLgay890UkPvP7OB8DES3zUyB2Cf/fitScf4t2MES7ucvzgsbUrN2pEfjayy2nHA647089EvSLmgmnX/Z8P4ELnn3uhpR378T969yKCwdb7HT5lIsj1cZAnjl25fhMx44rM5eVl7AZh9xf/wJ123qdANLy/deEKRvrgcc4FVvDLTz2CDWBkDLeRxk4yNoCZSooOvvDkmWNHVoyB8L7z08GvQc9gJwPGOWi38RrB8qWlB46u/jKvZd+hcPxcRf4mxPY9/H7zjfWt3oAJQrL427QHVw4iA0u4ZvoP/vhb//R3v3bq+JFOc2ntyMpnn30EDwwLA3/vw2vv46E7bPPCDWWO/hYpOZ7QZZSLmE3pVJamQTKDc0wH7J10B4qDDqwWDB45wlUf+EXTe9u3t25rdWiKkf0FEQaOs3N/Yad1tDzZHLi7dfva5Y82b22sX7v2wMNnTp46c/goNk0P4eUnlzLe9R1cOnL02OrhI0ePHzt68sSVi5duXLmCLTp9cyLz8PHjWTylg1HYcbhnRnEp8CYO63t3t+6s4gg8vLp6dO3gyjIuDt66eYt7wL7ifwDCzi4j2FmsN3KeT94IYFxmjGcYtgB7D4tiDsjI+e5aTcNU64+gFup+PGu6wJerMEd3tnEyXzm4tDF4+zw3BORNnt3OBpFyAPQpNi1hpzHXy7RgR8sFTo/T9uZ6JKDx4LPLIPrpcMSdxtzBYF/0HysDfCrmxLpBFAOGTtJYBf6czquAkfL5mysCC4LMWBci2W0lWCUhIDr6BENMVvKCmmahMGSKT2kVvr5ggTqfKGSGcQhJLX3IC3sKUy9m7E6mPmQh7MrgeGFH+sTnP0ctMDEolT/ay5BKo2I7JQsSqysivQjqlEdxUKKBlVXpCrJ6lLdOi6fxRIVOU83QYwKtPmcU8ihT57DLkrPfO0tP6SpaDgY39HWwoEdiIHSoXWJ76CGtjw0FU5UnutQqG+JoEmKlwwJrhUFok4Cu8Y8YnXO8h4MJX6LWM7N8CKdR1VXoqjzFVGF4TDIXKCpw9F8hCsY2cmodrI2mKfyorKmOLBlwErQIOhTohXOF108YiwrUUYwvychGCKp4ZLUeKGNny4F4HVAP/4yYRTZBgV8jTQncS2oVfnRqZOccQh6pLH6e4dHGTurJ2r6olmBBC7z4xqH5xyiON2ZEHXhHt7wAexQPRJ50u0W3H/QnEBWSqtzXsMKjoiStnDIqnSEZMEhkONMVhuoyHhCzqeuDtoHNc6boSJhcT1C2dxC1wMLNTGO/3S5vwHeR470j4xcwI6wCdNPV9t0uNthSIjUOP8FN2KirGbW0bJROOo0psj8cIM/VTmv9e6QzlsH2wSlFZ7BX5HHLvqpeULQMo8eJkLIHAVqjryElo4wHRAyDCBpDNEO2UikVUyTdpVlXtADQ14lep4kA7nTsJ/j2I7yaXuvO4gtcY5N3UjBXquhPC1LLMphoGKXO8MmSTWAMYmJn4DLCqUS470ih6jUoi95M0VgGz5qaGR357ZdHTzsocbiK2/A4rVwYEPEUwOFKyiwrcvVt3tV9cGDXcEh73dOOWuhaGc8Z0iwN8DUScKukcjEWIAAPZyhBZAA8AsgNJ4pCVSiL5pfHUkJ1BmA0abm6n6jCHJAzcBCJrQSQUsScB+YRjKnisUxLaML54+Qp61y4M6o5Ck22pKWVorAZdWeQyGDM8tdLGQTHq0GJJocZpnIPy0h9hiFWjxH07Hh7cw6XilFFj32RmXLz9Vwvd4rZkRuti4oxAzFNjT4ZmX1QAaWPqqclc6WXlCQBLvjeh/isIvTqi6csxDAl6XM+dieFinhS2qNbwRnQoc8IEFoh9MpBY8oiJDKKrgHVIAiYK8QEYWVLZSwGAgxKA6lRF6vzBZvyW0QBtegaVcJ9Yj8D+xnYz8CiGVh0AxinKdza8fgR6vNuj91pq3M1zeUZt5MMe2GN0xxvLr29dPfAvT/93pufe/qRujz3gWNHfumVp//ku292jibIeOLpJXJKd5DpClTsI7AcOLB6CBd6Plq65z+6ju1YfGiBt1C4eglbP1D63psXagMYmp975pF/9+pbZdITOA/zhR8//MA5358CbN/YuP0//99/8d/+va9537HXN41x4YFri9G9cWvrrQsf4eLgn52/hPAAtHPhoPTgljbK9jbuIP3F5/LexQcOYIPzyo0NBoa3s0gut+3vvfrmBW8AAxxj/OzTD3/j+2+nI7uccDxgDTpp2tqB2Dsq2P7F9jRDvLd9eHUZl3RbHfNw/qMbVyNIxIMvoyLIu99783wf5OeefvjPXsMGMO//jK35bWjcvo0xzz65tigGFBXv3L3z6hsX/rMvPgsan+s8//iZP/3uG9j5ZUxaGGwOHMC9kfEjyiBQEB6+AfDBRzdWsAu4QxmMeK4egv+1Lz03VzwjwMWQ7354dbQBDC0s0Xv4hgL+ucp4RefVG5t/8PVv/ZPf/TmspRkYvow4deIoHl94/jEMCb8ZjKvP3zh/+a33P8KQsTBmTQYcjA4PaO2mOLAadYzgb9VP4OySwYF40Bm5+YS6fFmH4eIHgDFpy1gkd7QBrFd7H8PFJxi5oXhMH9jauIVLgTdu3ly/dl0/DHx6dXU1XoNSbfvQ8sG1kydX146snThx7dKlKxcv4ieEca1mnD4mpmPvY9zb0OZqYzxI9sat7Tt3buPa5cPHD+M6Zn3t4xCuD76zuYVLn/vg5gJZaRdxIDEBOKgGZWhZvSIGynvpLIawi1YTN2ovQaTux7NOlEGLEypeG+BH7fE7zgfv4FTtY36g03dGeU/RFBs8BhwNqInw+Qpg4k1XwDbT9PMJthHNHB9Y2RPhhjIkoPbLX/8M4IyrF48t0uCwMbMx9BquJhaGPitDDRhQa5POZdtKmVC/04pVghdzVE+RPqxgH8oorES5Uo88vbpBi2JNDySiFZMjIzheq3G7kd+2tKoib1Exesdul0Yd1hFNhhOhZcxdbIzHpgnGLv91LAfN7DpFCVxiGvOV0KgkGtg2RAbixU74s4E90WGwJ14RWcIcE2swI+hSGrYB2fVa2jV2SMQRTNjKiILOTKRPGYwes6Kck54soY+GVDf2SW0zm9ZgCIyT3xAcFsOWf0+H1jzXUUi1mGAHPE0Xv2eANTREGvcgpv+IxqEgBvGgqz1YS2Pq5+Q/jilPt5IckMMAav0Ik/NQ8dm3QtfHeqKsz4H7mAWBALwabZkAGgRZNom1oj5DiNzp0JGhGSItLCCaml8Djy7Q6J6N1zwCjUOb1jRjQ65fw1IzPNMyShHEV7jFIUHr+yqA4kkkiqGCIZGRBwrSDX/QSdfgBC3O/QaUoezcwgWizhq+HDMDMH/W3FH1NXTc7ZVrPCntkfUcwNnpPZLWA5kkkjDRWs1dnKL6ruabmQ/9XKi98x6KyRyFWl40Xip44OAblvZRKFU8butsYX4FHF0pzam4WMdWfWA9bWcxRtoxAwwSArUCwnFZkHOcBpvJ0hhpJ6weh7BK584g8gkVtXZcMYuACG0vTm1KGnj40nGr4cA97aTC02sGkzYpZB8u1BhuPOvNCSW1/oKAM0KxylfqkUN6xa9Ta3DyzkpHiRAzIHbonWXQssO4KjYT1YU2//qiPtzLU42j99Q56ZADI+Fkbz8cJdjenEP4fKqyGlB1xLBHOjCGzjSGPkLSfvklQouwRoSIexoaNQb7pDVK+nJvXg1bz5EVgJBPOkEQSQHGVKojZU6dSmsZAAdKpRZVMwmDT6RhqBmsB1FxOgx58SxHmAo0owWv08uQKhkVPueK8xt22Q7Nqa1JLTMDOqR2YKWbnVuAVLZBuCsXXFj8twKjoge+lK5hFTH2wfikPhCQI4kQFK/ks5o2Y86QD1rpmSVT4zihQzADdkHZNuph2qnrwAictJhRDfVLwjTAYu54pTjH1iD9GGviC5/EjHlvkpqMII4azAsi4gz5LMCBWa3HH4EMuuzQBP/EzIS09DrtAiWTquHCjubWM2PpR1cxgGgzklgjB6Wc8v12PwP7GfgbmAGfKhYa+MSnJ9N2+FI3LilbOYRzHz7kjecEqsJZPTrT4mUwZnQaAxJx4AdecXUmPn7AlZf/8hvfx5ZhaXz5hbO1H1zMnYjemU7Y2O7SVWQ4ORP2888+iotxC+GHuFsyOtwuxWMJP8YLtdfevMBLmrK8/PTDyED2Rq1eaS7x6lJsxOI3g3GlNPaYb97a+h//1Z//0Tdfx4WtI4NR9/jaKkL6z3/plf/m7/78F555lJ/E7VwwKO2qag+Tdyv7/LOPHMFPlmbB/Z9F4kmBYKih8/23ziMJVkGoLz75sBzZV5+yQGksU2GaPgZt023sDJKX/97jJ3CffeZR/PywFXj57zsXSeuJC0EgTkw60t4H+dKTD/PWz9yNA8CSr/+NZ+DmqVGjxOlZmNcff+9n72vm6W/t8PJzZ0+DQtBcFVoUSBJm4YX41WHweePohjtLTY14Vuu+OXOTzRk9gMvslnGL4kMH8bWJj27c+p/+5Tf/r3//o4/mXKEeMSwt4cdVv/zi2b//q5/7J7/31c8/96he0swJsEY3Sugc9blsDwP1GMcOLJ62tkbIBp1p/U+Ou41rT7GLhcVzBz8AzH3HXV7QznW9+yjnmg4EhQNiUPiSFr8EfOnc+XNvvHn+rTevXb6MY6RUtOa3D62snDx96pGnn3782efOnH1sdfVwKdw/secZ2c0AJ1G8ecEvfG/e2bixvn7l5ua1WxjdkeNHjz544siJY7g1tF9V7wK0i3hqxLwHAPc8+Ea7yn3glG1PGKcD7oVFL6QVINYt070TuwWzZ0QuwwP6ds5d/lA7vl6EY+Z+D5o9e9fZZXyCuQ+UT8WkxdWo3RxNacacTYl2g9uXf0IZ0EuVhsW50CsMVxLkqxm+rLGcLTvq8mWOaQj1SCG4IQoFiK2QBuobt4wUAXt8CJEKHREKLbYBJV1y6CMbgakyn7LAl5765mQdLDfCYTw00xg6fh8b5b0aA3GRLQNSKXP3iGkW645szEZlAFazu752zgMkEx7dBi8tVRQNtJmjpm936TTDiHFYs59lcWhtEXZ7gwgE9vDPTVl76fFTtdYNGJHwUnME1fXeod8RdCLKic/xs8hXwptFUcZpRfZ4oi8cW6mPMaqVVee9hefV7kjChHddIZj0weObU/YoZm1+hDNoMoQIUiAxIiJYLJDoDtA64IxaCHQBop8vyAcsKRg+vDjImjE7ohEPfDaMMcbiDoYplqVUoZZVAc0oVEpQDBBNHqq2pQpx2Bs9aKJHSaUsP82YPBZxTE7XvUKEIEVDlZTOFNCceCSmIaMtqxmXO4hmdHdjJJZG3pwmmxwXJiEfyWOIoB0wpYo8XIbZOACyzUvCLfmWmKo6sxFHmV1IWh7Zo29z48nFUtb5gA4f6poeB2eMLjwuSxQdkuVBbnhE4MD1sWqOVBmJXZbfEWFl1ZRY6sDIpLm9Jt1FWbbBS32omlRLrZHT6qYoUkFVKtMcpZ0UyRgc9JLvUtFIsdNdDILYwRMpARlUqEfEq1AktCfJOzWTlJHyPwmTbNwTa7IqBYVKFUIJT2dxMgRPFpX9Tx4LUyJt9bJKDi26Eid2clNDaHJIXriXlL0IXurEoZW4lqkeQSnA8BkQ7hktaBsxEA2AhEoMh7SBFLKDlXMYumd9n8DTnCa2DEoozmDVPQGaXTcL1AJvetVNQkEzQJeCVqIYOTmUKT5WYjgCdj65QrAOkL6jK/dyRKp5VYfBkQhjylXSuAswJY1FKxTZljOz1BWa1aXWWVIeJo07h5qxLV9C0Yio4z/H5DElXacSDxTKs8XOez458AAW/iW2NDQ10KaPlWudskjtaNG0eJrdgKqcKHVhOOMajF5kvx5aq4M70xRy+ZpRGTEGEVanNxfmyKq6sDBtz6Aj+OIX5gyHhi1gwzSeQwi0hLW7DpL2/aMXBd2NZcCRa3sFv7lPapKZwv12PwP7GdjPwO4ZWJ44tUxaLR3AVtPa4UPYEc39uTmfIs+wwZjhzfjgL5sevMdbrmKr9gDuivznP3j7Vz7/jPVwsvudr734z77+lzNmM4wZT/hcGpue2oKMrT6ccr/64uBGxK+/8yEUFGW8zMO24LX1rZ+eu/zSEw/Zx9rqyvNnT//kvUudy+aMacRTvZ8JDvK3Ve7ibtC8NvfAt35y7i9+/P5LTz70mf+fvTd9kuS48gOzKs+6r66j0QfukwcIEuSQQ400HA11rOaQtDKbNds1W9tPa3uZ/o7dD/q6Zrtma2trumxGZqvZOTjSSOKhGZIDcgbEQQDdABpAN9Dd1dXVXXdlZVZl7u/3nruHe1wZWUejwYmorAj3d7/nHhHu4eEeF889vjI/G6zW6wmT5NR481svPfXys5e+88o7mH4aR9u8OEV3ME6JaVew4+VnovWfAXz7+h1OuuVTeMODuO7uda7RowUBjUyM1R9fnr92y/fIEuMIl8hvINmHdAqBwj6JuQyyYjLil6L1n/vdw94Vhh1/qgT6MPwykjTyseWFG/d2ZDomvIVzylC05qIHixp7b7t9/c7Go8uzcARDyc9eXrp6nYWOEXRuMv33c4+dB0o87Xe6PQxFp3sN6nSn08mPB81yD3Wsh/MBc4AxCxrjwKxmrAZ/+fYnf/nOzacvzT97cfGx83OpE4KNJSMj81Pj3/7q0195/uJ3fnRlfYMrbEfbYNdAkWVdJCY7RAMUxNHxvKfijJJ9XOu44DhOLX4A2J1CQ6k7LbMz5fgIfBj4cHdr62B/HxN8p+fnpxcXJqen8NJOVFNHRhrN5uzyElaKbk2Mb9y5u7O11T/s4hHuUG5lF2uWGN/ODJqQBHWrf3jU2Ts46h42Oq3GRLPRasqE7OoB3qnpdCqH8nZ6UlgoJ4mPQ6DJPBXAdRLFbPntMU4/VL6wkEKEJMJ/IdpMM5X7ZDKyhGMEvYcXbY56tdFKo4awZhFmwZXhbIzL0unDpZeVqh4YqR48+hwF0jYKOKawpkMLiI2T8AW0cnsgEcC9178jsAilfkj1kXklencUKu2l48oiWNQAr5hcfQguwB6BuGPyeBygvBQkwhSrWvnaiiW0SFVtQxLmLK9c8SKHhIh3O+qieWK3VH6VD9lQY7iQsC5YnUauKrUmq2EyL8HqNQTEGLMVEt+r1fa6bHPKY6HCQwMASBGmTEZw8pUUazk4DXOKjLhZJq8DlBnIGNiYYWIZIX1tflrLQOkAR40zWGuws9eTRZJQiEVGXIT4rQJliLhIGcpRXlvnBafkWtn5YqedPwZOrRNCpbVDaa0h0VHEAmlM8/UqCHt4LWkjI6Q2olwlpCgSSsXlznApncr0gSw+E1Wh5DLbUotIpNNFlJXBt+zCIm+JOekWxdPYponkf3BqG3UWp8KxN1cHl4cQguz5o3CR7HRGtBRqo04mKSd0Ys2akCYmooVMRkJMmmZjQFILiHx5G6ls9QCLqQLC7UKneHHdmBDUDqsHuEinAA216I9QeeYMg4NENVHsc46oonhF8oykm14wIyN9eKohqpHMJDXxcdoVItiAW4kFpLYxyKrLiCAuMjhpRgwSy4peilDpIpM5czajKkbFSrL4FtbVONbL+2FTsG+JnzZMElqccFpdBEgbCfAiQMOB4z8D41MbOeag4uxpQCE0XTZo0BT2oo85SRve1IPV5cSY8hFRNizOOCPSqoxJVHJ1zXnkzHLETogTa1Gi1GbSjiAwgYSZqghKeQWxl0LO/CUJwI6YJhBmAp4mWDkMhma4/8hIGw3KFrwTRGKxQBKiSi7GwuuovERCgodD0ugUB01t4QU9UiEuGnfoHXB8WhboU6PoSZSibKqyhGIHIfIfJYRIyeiNvxmUD8pKs4z0DBQKKLXno4NLMcIvKcLQUOUBzBoTJYEKzGCMTrSJaZBhnYVSxptZka0XuMgAzyuaUlR7aKdVRssDB3wyP30iFx2zdROS7bVXZ5dGlwLQwjjrFZOoijE3rcWWysmXhJhtBPouCJetBx6L0mhtoUSe3dyMdFO3fV0BXmjjO6MLTELrm+FILVD8s9C4qxYeO1peBfu2AeJX/BifyYbs6TSAKpmJjLjEUhNEOk+2sz49S5PlQOqkCgCJUEUem8iO8ukuqGhL5dP4aYs3xxxUjLLMlhEoI1BGQCMgc0Z5e0A2dgkOQoQrHR7pjsv0Tc6lDe7gljJ2eTM3DosNjiAN1CGDwSyMbPUwooV5nv3+f/rZtWcv4eOW48qHxNefv/S91z5AFnebhCqhSkABACms5UCpWA3I4tT45SUOBOr2IVYi3scwD5qAkIwRtVGOC3Kcsf/6tdtuABjEWAXaDgAnNBl/cB3m0wI8FMEk4t4o591SbL//wa17126uIz03OXZ5eebSudmLi9NwKvXCjWHg3/zGC//m+69jYWprZnCEQAgWGznCujA99ujynKOALngk9yeMfsuAqcxkxlRGDGraAWAdB128dkum4VpmuTdKyTF2Fpp+zEXD6x5CyiFwDrJWKuemJy4vzagkQBH23faBFKZEnjT84bu2mHrrGTn63OXFW5v7oxiQ63axPCwDOvx2eNh749otHQBGzC8tzoy36hu7fJlBrMMK56NffMIsTw3z3r+1jnVnh9cTVmvD3z/oHr31oc7JThFpzgQ8tgG3vIGAot3L0G6cZz1lQwvDwD1+eBonDuv3+zfW371+F7V4frJ16fzc5XMzF5am56cmbHPT085h4LHf+OXn/+3339jcRUEMLG6PNyeZWTiZCCcsoAgyjuQsE6KRO1zrOL26hmsG1n8eTuUpmp0uKh0qVve6nQ5mALd3dvd3t/fmz03Pz2KsF96wV48NVataHZ+Zqrda+DLw5t07G+v3sXw0x+pS6kfC70zNCUoDGMSQi+dqwp1e+wiX4kNcFDAG3JoYQ6FU9/e7XBG6G3AHmSx7Arhy8PJr3/ng5W54OYFQzRQTUojKEBWiTbHEgU4swEnKSEABJm9zVQqEk7NGpNObQXwWYL2IpvlJW3hSUysTqp0pYBRsDTJCzMFCs46RsBiF8seAzFoOajVEmbQxdthqTY9hyuwDjgAuGtpmUL0sQdYk5lhIplaRChA7egQOXmzshhrg5SJ4lFLKKC9NA61BBIp0EeGRWJG+JqHlTqq6qf0UzlOUT6YoizLUJ8MKOBUKQSCNDzX06VIApkAKCg6EyD9FWTWSsAhk7OZ8sc9VIoQw+yEHSkWKXN1RvmUJjo4xfCslQawGxMGaZ5AkUqIrTmPVORcsQI/OAGQ1aKEA5EyzW+iJtMVkj7ig2qTKFBpSGlFysGlzjLDCEwgw4ROE7ggBI3kjfodXu00VAqEMMIq/8E54uJNK7fQgkSIpEomUufeCzv4xFrYgXQKUgPEvvjkSF2RjjCFNclBUGlSFUwfPCdpu3KNqWGXcHBVM3AylIZ2RLWePozL6Ir3OWkdi1Jl86KzwpdpMhRIxeyOD0Wo84ORgYUipMWP1B6LUzVwVYC2+0QLRCBYbQlOkNAab2hMaoyilJ03SHktP7DE3hirOCrGwRxTTbJeQwKoZAYtvmJ8GUWR9wBHPKJnECMm40iw3LdyUnVwPmEZbC3sNKY6QaClVr6E3GeYCiMKd7VpyIsIZpsIToYAYL5ie4FT5Vo875tdwrbzOVJM1J6b4QJBnravosTJx+pIJlraIwg6SjY4wTS7PS2axRR4Cp+EWULgjwreGWEscUYpAKJESVOHOEpqleKEPkn4x+1qMPBxUjBMhCFeyilckhKPeQJVcOwwbPTMx4RVFjHex8EMSmGYzFCJps3M5k7BWajyMOM9XgTOf0GQ1qASnxwrUI/1i6eJPqrEk6YX4Ie0XMUSkqxqcRr4uhs9tvicACivxhBsyVxyJRCTVoZzggQkWiyfAxcMrRzGCLzMZOj2IWWobAb5qpiOZAWqgPdkEItQEg1QMvd6KjPaohhOQKkgDa0OaILHiDCJFhnXTuBfzlFaRKYUxoSsCQEhgOmtPJB8oWi3FpNodxC8Sa1gkFilbCDymEvjAIpY7AyhQhKoKdRh7nBPGeD0RnAnqA1jSNt8MxQNiyiqNPh/mpLkwptE7Ku/KCDqxU92x0TPcEYMF4OhUKFbL0VH6xapMDmVkyMECJaICcYzpYkHjtYl9UXnpRBFYvYZJssbpGCpPbIkrI1BGoIxARgRqrt2QQWDAeACh6812ZcgshTh2PU6hGABCT6bWxyRgDPDhUfJI9+joD3709n/7d77sLna/9PwlfMX25r3tdEGpBvBSzSFS9wPgpaej6b8QtTQ7+asvPslrttxesAo1JOFTs+BpYMlrb7u4ODM13tjek9EyD44kBjt5u9F/3s5lgaQ+3jIXC7hjMwJm7Owf4Hu0r79/C2ksFv3Yyvzzl5eevXTOX5Iacsaa9d/65ucwBrx/EBuCghg6hVFV/PDMHdtXno6m/4J3eW7qW1+CR9xAqjvyVPqtRl3A3CGw4lFTPWKTAMSkt3tJ2l3qbdcivaM2McRGfmsUs8JgI+rPi9H0Xwbn/Lnpb730JO56gYVgG6mMYa1XuyGSl5Zmp8bvdDGpWjZ4oaZYEncU66He29Csxx90oDixLPa3X36myTLFSt0jWNMbn0CmcZgpCXsWppfmJpUVdfznbv3nQJ4nOjdJtW7rV3bb3T/9yVUDUIEeXuCs5jgF0JLHmxCcmOjYbULc06KhCIkbaxr8Qf+tirf+Mf5i69vWbvuNd2+9dhULX480m9Unzs9h0jPeZmjaJbhV6fRE8x9884X/93tvJqqZ1Vr8qH5hHzddEZmC4uh4PpPxFBBxXeaBNxaBx1gpppsfdg6z61uoPy4qxA6VSxeVDoVgi2DcMRW4DbNXu/vbO/s7C/gw8MTMdL3ZYi2X03t0pNpoVWeWFvBh4CanAq/vbm3iu9p4oyBRcNZoq8DmBx4LMAwigTMwGR8E7uz1el3MLj2qjzVqzVq1Mdmt17FGdLdzGPsqMM2C2Hj1S1prdBtCdod5aU7SnRFksCalGOzIGRlYXKzvCqoYal+vgQ/Sc5UFXlTNRSpfXtJNhSTh+XKysEZOcEkWWiB8+wN+ICw63Q4Q+MyWeKDgQMsQmUDBEHwl6VlEAHdruaJGsh2E1YWfbdUaxBs0NtyFJcEqQwwbX96FytBEFUq5SEZus5mMHtBa4NMch3KEkOzSxEqOECTkuYRjAggigFKIsVDME/sEQTNFnvFXqIRHoEZ//GCpFG6chx7ywA45KM6Z54lwHvgxNkBR7cMtX6Y5Tppq9d33efy0lTnoKMaDKJ+Xt1YlSrM7VYcvGAbLqKN3vdEqpJwSTmeASyTFKgp7CDRkvpokQxIi9FLrtFrADkpSaXDO4H2oVWXqWChTpXjGMMmH2RQqUaOGSEXIHeS0lAcE2FWFgDWeoVXouGmLIGSBKcCKeSFXTiQNSgNguHypkKkBsxKJpM+6FXBfAgSrTIzBwbTkFGVlhUcn2SVC/LFzcMAvCPojeeOUqIsLDyIiVnsUPtIDD5mU2uYbpvzOWj/hRLtiM8ZbHhxjkCDr+LMS4hKMSSqNW2jDxe9SWe3QxRC7gpME8Q4S05sFT5DRC1EkBkpSU5bSBgRH8Zg6bToMieWwRxsge1S4lIolUZlibARyKUtqAxGZmOCzJ4PjDRN0woXEv4qBzz/5rGOk97aIJO4LiAzSGisQYx/T6c4ZsPXM6Ir0GAAPzm6FpQt02qNhOCeCHKpIeJmkG1KMPCqhcZ11zoybRjil8PfClLKz3jp7hCnugkoSdlNwDDjzBmaNUkLuQ4ERXFKC9FzkFVZGfykOcGeVPWNIENMhmj25vB3RKtkQERcuJ8zZC1EWaxmyyt3hsxIQ6rSqEPUL9FE5CrMxWNoakTSNkxMhJe5hrfER6PipwFSIgWo3BmxDYox0PpDMwMxB9Dt7A2tC440MYbcyPPKQWBBaLTyagkmIMsrErihrywByCGQt0zKSlKtmWnN8/6L6BokBIjJbH3Nq+fmGehA/cjSNJ6szgFlLIE0WEsh5QyL860Fc0pzuBeV1LliMYCR1SpgFCKwR6As6nXSq0kh0FI2EI2JwWNNoJem8QEWi/FQk1nAESI1DcBUlXnVRhxcoY5ZoVCGFPVJyr0AFkGRPQgxneSgjUEagjEB2BKKvxmbT8IqJL9qON0HMIUe9hAb0oPBuAOaSlwIDRn8BNzK4YOJ5MeaqYQwY8xlx5zrqVz5Yvf+X737y8jMXlRqDMr/x9ef+z+/8RO9GcRGJvFHGWUlmoJRyRyovPXnep8V026946yf7qFga19nnH1165e0bxgC4rHdGGT5AUi/yIIMWIHkACXdoQIjnyJC4z7nOnGfcv3pjDXNDadXTj/z9rz2LIWGnFKv4vvT0hR+++ZEfNI2+TLWiUxACVS95K1qDHR69/KwJmpOWluAXi5+5tPjTqx+LcULiCs8w0HrfAAPWA4gVL1ltJwCmRsr4NKf/wtpmbfSLT65EvCMjsxOtrz57KYJkpkbwUclnLsy/cX39SOY8S/A9rY7RWeogYh3qlUa73TnEx56/KKWPryqhKP/8zY9k/LdSHx39gp3+iwLCIP21W/ejmHgCiyd9E1G++C4mIT40LstUG1NvLFYLxBQLSxwI05qw1QxSKRdVgUu/SVLrG73DqAzmH3+0htcOcAa99MwjGAVvYJ1W2aBybmrsxafP//jN6wo5zt6ZCNWBg8bqVJnpuHRoqoCTAeOKTB7xwxdza1W+GYOv/6LGsRoETiX0xkUlCIYCpEhLATmRcRz7KhWsXL3T7XbaB/vbuzML81MLC2OTY9Vqg9coVBO8NFBrTM5U661Ga2xi487q9v2N/b19cpqqJOLjop3OnEQBnkEkPh5pXOYws7nSwyB1tznWbIw1sYo1Pgre3mt399pHXVxgfI4c24AKKDXDcwdBwXkVIPPlZGCtxAx0MbAzg4mTSXSiimkehioyzhgpMeS6GUc9XGfqeI3F9huLitWzzNmMrEsXFQE6lWKYeYAQlDHrvTnmC8PZEegVdrKIBFWgsEzrFOHkOAliXCZXvlnHZMsXWmKPHwHW7/DKw/s36xuLyk/bnFRFXn5JRhqpU5pmlnCDckBWWQckUv8jMidNWRJZw2KxsCHiJU7keY5AQJRTaXpldJIDfpXLvQcWmQbENB+A+TCSy+ZkWkDsCDz4InssOuCL4uOdaJYSxxg7DUndVGgKGiBaoTuwkiSFLFVoCBQVCVZjtsA9JG9LtN6JiHCpNUXppECRjIhperhFEQvhYJI/n9dRRMYIjdjFUoVP8varrddkJq0oSZVkbDM4HvTfEpuCYFfJnEfGCEVoxhIj54fIuk8iQ+JRKqvuCbb/flL8JEBEucqDLKilEjjJKih0RzjJbaIuYSChb5lvcoQxhhodIlyYDFwAmTvo8Z62U6jnnPHCmhAI9Ol86ZbYh2WmQeyVAsig3oWOXGqO5fftUWOwN7U0yx7Lm3E03BnYCBw3TDAOqGb6lgexAnGqeaF36TSsp3EjpYXkii3Em4rj6bclQhAkqVJ08ZxzLAXvXFJ6xQuZoVS4q5jgUCVAy4vstiSSBousSJ8ogzS8rgyMinXG5CeE2PhGgcKuCQYqj9kg/WiJBw5OZjEtECPKSIgEr1uC1FtbqM8QQoikuOcFjpvRabkJsVSCl4y1A1qgh+FRolglMQzhIUFjhAmVmhMx+DGMoEgZLxVG/cmWOBTZAFKnpoUPtOjzqiFiuFpvFKg9cUuCIBAppgmL75FgiDXC0g60ISCxMbfMaUzqMjG0T2005wdy/NOQSNpZJHU2yyGjJjAVMTPGq43Wy1hBOAVGBsMRyHHwYyUozJadlWztgsCEJhMOokIzYtljGRMwQaAzTBHplS9hSSClaCbDfC3ppJAseJIyDRJzzc8yHa9jpr4ZSSgB87wtTXQGLOmeB4nK1HGz3KV87blss4BLo5+XWBDhF3EjlagvTqImNG4hFQQRfLLNcweCYtJi9SihKWROoCOAI3QSqcmeCA4osJgNkZCslAp3QiJdYLA3FSPUakwXlV05nUxljGUBTELSVZTQMgJlBMoIhBEoMACMK1e/Uq+NthoYmI1aHkZOdC8hIMwpiYO5hMDDHEC4BmKIDB9h7WEe8CiHNqHu3//0PUxbdB80fWRh+hvPX/4zjokW2MRaPpHGWI6MlYLnuUuLk2PNAszpJJit+5O3bxjb9SADnByFUBUyko1BR4z34dKPqzP2MERvA9Lx4CLX+IOD6DfJfQEz2Xo/vfIxVkX+nV/94sr8lNONRbB/+OaHyEbRolP8YIn+kIZHU8f1CNF+5tISVFNjpIM5Fgg3B9WEAgUT28EwgcjTIGOkhgXFik8gT7UaMY6CWQwlPLYy+9q1OxjIjMxhSo2xHwQFwNrgS+a02h4bppid9vq1VR0ARrHgO7jnF6Y+Wt1AxcNU7xceNes/o6pcweeBZaDVlzNcmqYFsZJ5vQEkRaC0qnwiDamhxCxm9EUxIIayl0AgsJyrihOH2oQPEoRHu7h8qUK65zif8LlXuPYXb3384a37/+Xf+sLKvJnujDrw9OXFYw4Aq33YQ7lvt1dOSTcdE1FslgqJQpPUpw6JFEkUA7OprF6vY6lhLALPdYbllZF0EyI5cpYk5KRz5UB9gYYsBeQEZOFoiPTEOlgtuds92Nvb29mZW1qcmJ1ttpqINy+s+JB0dbQ5Nl5v1DEI3JpYu3dn7WBnF2usAx0rS6cxO5FlS8gxiErxvnr4QmC/z9XfUfG7hxjxbU606s0Gpmh3atUOJtfjc+JY3f4Ym2iS6zR9Ps6mbAWYfcLMmhLJQSrKHN+w43AW4QnDZS3FZQkfb8ZrTfyCNl6xwUIe+cJcIEwxh9RWLKBeMkYay/oSiDKMOCLHPACS8gm9tMO5RISUizP4nTGgcemITFM+v5+m9kymuJAy/3BHgI07qVKRmawk8jxIQNL6c7WQrUGpftJEklogdcpVyaCiQECUl5TIZmtcNxVuMiA291EH0BtrJMNywR4ArRSBgldOFQNUUbw7qpExyeasikuGJCE0PjnzAeSfU6jZmMzI6mSK1lGAk5AkyYOoN8bawGhmIBSHCKz5PHlpOON4Ggoqjmm4WCXWo8C0WRcqiKxWB7x8QBiDczw+wGtGy8ULRUhDISwI4494zO/cEOxQSMjggdPoLrwOYisJSb1KYGqF8hNFvDUmN7ymthaMslXpVUhPkVFJpFZ+FQ6wnuewKrOC5BpJHd5mrSAoRSCdd5otm5EPHK0gSeq1R0rI8phjQpbFZyGy4JYveSRHaI/KCGG59gwTwKQBgyGMDDcYlrTKB6rlSpy3TzU4FShSfBVOLExhV5PF6Z0OUvlkFE4R9kRwlZxVABz8N4GnXq0VFEVeOEkceMVd4I1j5rpOrfxz6skmTxaIUckU5ZQqWFBEY5PTRMTJpYEoSszZUpAAwXBosYbksEco1QMmMY9e2mITQcYFQ884YeOILA9iNxKkBKcASYLF55iWfy7ephi5XXuU5HOb8BoeAxeQBpaEmNdA28IhIEPjxND9tM2KT+Css0kEIxFCCSDIL0nY5Z0GKs2EA7Rm5ToyaQxEIEzUG4An3qoKlJqMxUVCIoiY5GVjxkUaYBrI0qNjzYvkMCU12gVUnY9cI4VWGVfWThm1WE0qSVEiXxHqmrAagBcgJ9EKIbvGVgUdYw/2sNyczCQ4XXyqAanAdP5hoElrETCcdWGZpEmUGEtNQfBMBnRISTB5lMaEH9q4HBf/qBiVRCtBnPxEeXoK04xxUGCyoSr6YoiytaWXhXXUcypbhIdRaa5yMJSmikpU1SIXIKtFqIRARJGKiSDk6XYK/RA7G6DcsOSpUis9wwsph0RXXo4hT40QeQRU6wLkwkugCW90CRNSR+u0FU0YgaEAAEMApaXBimop6coIPMQRGPb8PlVXPlXlp+rJAGGDBoDNNYfdiRqGK9FE1plSYYDCnK8yG+NTSRqq+GQCS5RiCegqPsTLuV/tw8M//PHb//XffsmRf+vFJ37+0Z3NnfSP4zoyJGSclMOyMmIGcWz9f7XYZF9fjp/G4PHlpbmPVu8rEO7hhwffHC6iGoJ/8xvPPXPhnN4r8Jne//s7PzU9POlPSGOIHR4O/jKibNdwNPeosra5+y+/+7N/+g+/WcUCmrJNtBq12ihGPdyth26AmPOsOAYM/pdP4tHIyMx489Li7I07G6rR7hEqcYZ5l7DI2FHwPhGNFPNYiPgU8ujol8NFqmMCBmRHRqZateXZsfd3tq0WPaJ1EulGiuFQTCRxpDYyciQLmmA0+vrq/fvb+5jzCjyC/LnHlj9c3cBYxdMXF8abZt1pFNnb2d/rjQTnpFLMkLcbclgsyt3jfT/oFz3Tcsc3Ufu1avW/+PqzT108R/p+BQN9//w7f4X6QDqCRAzrGGOCFyvkTYOjjtTV2+s7v/e91/+H3/4G1sEW+hEMqGHquVQzAgZvapzuIUPEWC6F2px39JkA1qIjPpPDYz6tpNGFgwmRL5jIfqVar2IA+JDfm87+CDRIrQxKCCLgiyyWpuLklg4FXREEm4aYm3N0tL+93Tk4ONjfm9nZnVtexsrPVS4zII+HcBbU6pPzM3VOq524t7q6u7GBecPySMr2GpJ2xSGZ5kSEg0gUj328NnmhxWryHQz/4vw86jVwumL68sQ4SmoUU4HxVWC+HZKjRlHSD4UOm0OU+NoRsjmskRvHSQ0QDLSzh+IHkA+w4GTcA4QLGlcUr0xCe+UKdXTYq1b78sGICr5jntJrMWoKnDMaGXUqiFK+pWlR4MXQ1A+Ut/RrRYheJJmkX8IJkz0J4oDcqfXWDVyEzTSKwqyR6URKkY6znN6xMKHHUybPPgKsLFF9UH2oU1L6psLxUixbVAExJcDAvHpCGgdVjkQeFCQJyJx8wyOHJJnDismQEJhNer6YiL2Bsz1OPTZv+UUdEQM2jYG5AIhMYTLgAcwxNDnFIxwhymmnWCNVOZgx9sftVoKCe2ulkRVywRLfoBCZzInhgZXJmCa5zh5CL8SsIVRFfktkUBdw1CuroCDKiiQB6xM3W3aa8yEBJoqUJUyt2xbpHx1hUGKBdFHr8+SmVaA9ZeGB8Q8xowrrpS/Dc5ZRSSey1dNnDNLSHomLt9oDSgATlZwwGCvBD4j9TKo0RyBYlxsikW4PXXFhTJdmNca9FmpXsum8x4JCZtIkoyiJSFWRNCsJSTAm9Go9YZNC/yIObaJUtaKZwJBdaxXLnYbyz76DAV4WOwjkwMcNoOAOAP6HxcCKnLgAgAi6VC73WZti9DGFCIKyhLAs5giuTFAkvoiFBmmrRESbqOqKonamXLEZs/WrXFGNQgBkJX3aTOGkN7zyoqJQqii9XNnixLp0oz28MEst8gyJ2swGXYHXIkTNgRb3vXCIcIYwkXROQcLJ8Ou/1eIdLacT5+GQ1HiGsCgn7hodAlUXXeSEGzkIF7esEkaUbGK6OUZSTSpNdZIh234bblvp0oNALW7zkg4mCdFrCkwxzjrxRaww3LZa+Q6SJxJubfaB8izPoyHOo6MA2VKBFln0CCGujDwelZ2GcUTObQeRxKlYFYqMclnWIlou5FElzLAwEuelXLFJ3ZACMxLTQu8Yh1HhmJKJpF9GsK1BTo9XJLAvOJWSYrMgztk4gVPj6qitqi4sYPGL2LNHhZHBRi4uPpb3tMUwJusrSqd4aKC+L36sYgYW8Yg0vLNSjNt8xhz5jj5K+JZF0CgFyYEmwfjqItIyVUagjEAZgWIRsAPAuLrYu4jHaEBAolOKmYK44Ml82ogkeVUSXAYYuGwMGeU9Scxp5IDoKIZFobBy5ZP1167devEJs24zlmf97W88///86auiKGsnF2YdWNWRSMqqYCbxU4+cczybu+23r99xWc7ahe6RUXxq9hDzzXB1Z1sYX4edevKRBUf2wmNL/gAwBIMSg4v82C0ylUoHc9QaNrCVCuYv37m/49j13guxGglE9QifCsYixdLG29hp31jbwIeBHT3GgDd29jWrLAyO/GDe9HgTM6QdMT36yHkUxBoRUQOhCd+7ffK8UQGHsRhyYgBYeQMJTotJWKQ9EuzS0IWYyND7yMxk88nzJoCwGT7ic7xxaZJXI0XIyCPnPCNHRp56ZO6967dZIbjpHhXSZAhWmKC9He+SGABFgMF7eHT0xrXbf/PFx0GAyD93efnf/eRdjIN+0dYumHfn/u7dzV1PwvDJhDEp51aG1MAJl4F72oHHSrhY4JdVE4NhPbweoGJGqyMLs+Nr9yOzjUYcEAA8IYD3cnKh+4uBsnub+x+vbWJetbKDamys0d021SzDNBthUMMwSk4SOosDlEJ1TyZlVxI/HTCdTSZSp+YEWugZvqaMFxZGMWWa351l3H0SZcc+kuOjh0+nWAEhw0AzyWkMa/9IBasnb63fP9jb39/ZnX9keXJmtt5osEqQlw42UfznG1haeXPt7v07d0DG5en5IJFCsrd0OyP6AnjG3DJkanMUuNJ2Dtu9/cNOl2tB4+LYalZrtU69drCz35UZ21aYOzpmqykCIDi86ve5jjRPKsczOFGMdgCVorkfQHha9gyWk0kBCz0jvaTHIbXm6Kg+UmnU+dqJsGSWqseIZLpEXmQyMCG75rKp9TwOHgqBxdCjFrD0iQ2sFbRcAwKwZUuzIAVmHjQ6N4zSFMockOPOoSlRn0YEeI3FllJAiomuK4bSGVn4ghMxQlekyMh38jQh5oT1NUbB+wLEpNRDsvG5tXz4wHBFygUg6iMbAtFULeoFGthg3rMJyE+eob6EFAOJDLEUOfF2TsbEGSHwVwLPu2maSquh4NFpE3qI9FsZYoFnBi9MpMuIuaoMnfW4FR3tgaIzORQRbVaKzHwixT/ZPH9ksIlAUWFeZFWq2N4zIQqrAo1Y9E1yiiwmzmaNWE+6xRznaDyLzuFsIeJwuloLlaPNeCWq/meKzpZM89JsiwXfVZ1Id5YyryizSHLg2fZEmpPGKCSiEAUnMyTHRoOC/LTIseKqJbQqWf2yysIwDaNXW5xWBesA1wWDBGMBkjQRZ4GTKhhkbWtVz0BhDesBeOV5DS8dlOFVNiOMeikYlx4jH8IAi+yxZ7d3ojtDVB4W3wIv/OCMUby1njIs5nEwaZQZjYo0epGBertZM2w+OiZKTYKAKDF+1nxK4kXVl4iHADRUC14RSsZrGTfsDQtSEnXaSUskfto8jBsm2oWdxeU5hrJjcaHzzZXejOf51cRw82CS6oMn1WgKD1Z6CE3mlI4Wq8NKodXNhZUmir3AKmHKiwJJ2R7EOhmYLcAA4nH4SUPDg0lqufg0hdIigTs6a4vNhipwl+KMLiZli+cphszYzEHpmLcOO4gmCLd6Y6hhszZ6zmwnIK48Ybdf1OQSqxz7mSSgIs/vuMlD20AfM2Iel2XLOw4/Vl78SotnVL8o1/OPVTc821IUe/Qe1r+WUKhf7eI2KJsLS6yWWPl+1aAEX0q8TjtDwOTTWbiVafMPwTE0aUDYXaxOYrhqjEVbBZ6i/FQLqTqtXFKJS2AZgTICZQSSEYjGKRM4/24xggk9rXoVbVlMKQNl9pUnAwOw/hJqkgBc2TA4p5OAOXrb6//xK1cwgjg5ZtYQfuL8/FeefiTJKBBrAJ7oSzeJM2Upg7flLz/9iN+beu39m6/o6se8vVZq1Xqj2cSDKgyUtNsHGCzUQeBz0+P/9B//DacOo7OYfrZ70HUQJHAPwIbJabjZb+0d+KiVhSl/ADhCyS0XOxdoTWDwKaKh1V5OtEAHPUK3q1f58lOBRz977+Yr79zwGJiUfi6GqDlwiLWmwbg8O/k//cNvKBkC8ujy/Fizvh95ZGMYE8Qs46jFn0kkRcbgM+z90WrlS09ecD5B/6tXP/np1U8SsiEPAbRG9mnk//yPIiMvnZsZa9b22pjFiogwdmxi+g8qExIBACk6hlh++UhumIjA69du/soXH5eocubrc5cXV+/voEYpN8y78tEa2Y6x0QNhEwOHFeBYA0ZA0ZKhPaYZiXOQNa3S295FKMwGd5bnp/wBYIuxBBoy6cKqc3yfw9uCjAdPSdKkGFhtjwGjrHIETI4jgEYsp58yGp3iFA0Ica3eGK3VOB6ICdFHh6xk7gxUVt2fxOxME04REXpHa/sYAO4e3O7s7c0snZtbXsH0WT6UN3UW5+no5Nxso9Uam5y8v7q6vX7voB1cx0KJmaYaskF4q9ecMaFwL5cmBwPzHb6kg/8jDFo3Wo2xqQnM225vt7vtAwCF3+P0kp5om+QLEsN01POlxXVbLbFjJCRKxUiKZk8sYJAiKoiURKkUPr42cdTDcne4vPABZPJSkcIUglAlc1WE1MhlnIq4RaT0vOPEQ2vz1KuZlGikJOyOtCVQnpxCSV6IChGWRJ9KBORZAO7MSeXAmJKLoR3cK9l4GcfzIt4xJrVpwyZpRBJCyWpYwmi2rkSx1LlAiSLc8+ykWB9ijHfm+jiTTsF5LscClsI/DIi6POF65QAgcHAYgQ+IFlbDRFuJrFLPk/SkJTzG0dOlstMKgmaZ6uDVIEIUKnpZgzysscWWuqcntFIIPLdC7KnlPENpdMr9Imaw1hnQJjfA0sBJwgii9Njn1UCJUZ5kECQjHClhKo/dp8wsD59oUHqQPYWMORVLBlsqfeMMMtpZxAyhKeSUVQRiKXEMk2DhL6l1aC99+/n58zNN4K7d3f+rj7a2DtiORVOK5z5LUIYTjQg0rti5Zve3X2lUq7/+/PzKVAOUP/lo693VHbACiTfLWTVwlkr9mB6rfevZ+YWJxq3Ngx+9f//+/hGesti6Qft5kvPH8+C5lckXL05ONLBWEGG6QePW/uHdve69nc6tjYPNNh4nKA5yQOYertBeSiy80U5K6n/58vTzK+iXc40i5XbagXXy6Jhk/uzdewiXvMCJrj5hjBQOfSxZV/k7zy8uzTTxKOc/vn3vznYHkQCjZQUZ/+bHq7/y9PzceP3G/f2ffLi1uX+IYnHmk0J+gMHX51bGv3BxWsNC/WIEdmKrvaoR3P/u2+sfb3TgFasHfHCxIVvxzQQhj+EYwWaVUNsjwWp97EJv4mCtMEziteFUz/1MJFJSQ5sX4z+FLG1kMYjLpj5FhSUKjEteZfPPfet/aIuIHBoVyhg2R7NjZTSUiJjbQ/EORQxFrC1+VRmK/1SIUfdiw6gnFqsBTBaBgae5fJIzIKeO5bjil3LSVGGUcyJHRIjyBYaYhyKXap4Le0YETs3ypPaTaIykpV9aaHZEc2pOlII+MxGw7Y3PjMGloQ9tBHIGgE2rlqZjydnRkbHGqA4fZtzThwMnI6KNBdzw+Lbl6EitJ18CxkubI32s8fmHf/HOf/WrX3Rc3/7K03JrdABa6TJI8Yd1e/BFQo7LMoeL5ktPRcPGuEZf/c8DAPkAAEAASURBVHgdq70qFy629Ua10ajjATb6XFgfGAR4mo2ezfrW/o21zUuLM0qJlvyzl5f+6l0zhKlmyBUZrUde+e9uRBMxwYLBxdfeuxW7mNNW0EoTSfbEA4g4P7IQfQMYwB07nEwf+LYtRn/xjF15K1/xllYG6MqNOxiqB1e4QQM/AIsWGSbCotN4b9v3aASrqD5zafG1926KhpilniRIkc0ePZSBE4N/dk2hiw5yseIvPXneknKK2Ls319KN7OGLtj2oZ5/1qHdvZ+/jta2Li9PCCyPxueLFn733CRTQH1FkxWYfOf2XnS/MsYbviNu9rfaHq/cfX5kDD3rdWJv6xp1N2zvr43OiV26sZYvLwMAeMSkDTSRtToSWzqbyGKj30J9tWUpQGaiX61vRtHJMWn10Ze71927JrLtIIpVSFMqB/xI37lDi/qemAdndzxnty7KSkiNlaSlFG78H0KbxnxxmlBbVjQ8Aj1ZrPawAgOm/YNLTuyj3IHMz5aQj0qGqJA+XYQbeRu8dbW1uHrTb+zt7cyuLM/PztWaLz5FYRciFBaJnG0ut8bGxqcmNO2s7G5s4k8Mr7SDFg/DURVWDtnyiPqY1Hx5gonLn8AjzgMdbGAlGwbV3qt02pwJTR+bZlVDNSz2BpqIm8JSWb49lKURFokKEVmra8cQC0oT6MKMgPPgEKWlct7FGtz59sxdVkBUoiczQp2gpDCoq1MXSGmqPgSYPKEl7MXZEHoGDJRIgGripPY5yoFx5psn7Q7l9qhEwHXO90SYtsf32LHySI4SAP7wWx9HeSpMhKi+nMlNtYg30NKbSxESbSksuk4wR2GyuK4ZIafJGaay08ngKEeAFjb2HZMGxILT1mFBDYqkjvPxoK8KjcVgPlpqkbr2gQk7SAPJEjVsPn9CYKj0FaF5QIsaKU/24NfMvuSlZlnlWSJLvWBCE1JgzmN2cSrCgyBmalFfkVExyZUMieceyJ2LPVhFi0korpMjKQdexbLTypOYPXfSiFY8nIrsfPzf2ufNTi1N4x72/MtO8tra/fcD1h0CCM5JaaGh0MWbS1o9WY/TxhbFLc/yw0fxkY2Ov8/FGm8SQBSJWZiYbtdHL8+MXZpv10ZG/rFdH2mjyquW6p3ChpG/L042nFiemWzU9FZJnGb549bMb29+/sn53Fx/K4UkBU/G0pYrvClnDbJAKHmkGxqefWJyYbOpjGWOYxx9FTFOvf7wFIhYhlMpKyzRYcK1a9dFzY5fnx3Y7h3/+nvvEFcnFcd1XlqZbTy5OnJuqw/7XqtqnjvRSqkQPNiA+S9PNpxfHJ1v63CwiS7r8s+vbt7bROSEf7YeJw9drMuZvxwy2sKVVfGejC6Ovn2zYPL99bJA+pmGBjOIZZzZY0twykmg4SjGFxrgkSCXOc1LVaQ00ou3Bt8TCTvkIFTk+pip7AFYl9boqMJS1jovVTE7l1AJLqjMQumpO7UwaIlJLL5fDQ2YVgRrvqx/Od6/+FTvNPJsykl7RF642URmclhUJ43wVRAanW5GgeX4lhIcApSwiM+Q7fq64bcfQcabCj2FPyXJKEfAvG6ckshRTRiA3ArkDwJYTV5wa10aWvkT8vhnPG6YMsBWZf8RrrxgDrtT6MgaM4cCR/psfrr710Z0XHl1STrf4bbogPIKWAUjO5MM4JIlGnlyZn5tkH0k3LHqMOa/2mQJIRjDoiw/uHnYxUNrHnFG01zEUjDd0sb3+/i03AIwsVoHWAWBporBJiR9E4YjbzDs31jB7EEtVq6KLi7O//PlH//yND+UWp/c5mqQWYuCBs3mxiZUYmMSIqTJiDwu7eJ7ODU0hvPTLHiE94ghrH8s46+dshaBy/c5GO/JIYcKJHgzUYqnT0R6/r4yh0F7vjQ9WnUco2ucuL2H2sBgndjhugCzAHh3OJTwMzOSPg+7YEJDHz8/P2rDDcixw3W4j7MlRaoy6Y+iYRo4i9CyE/s8/WrMDwBjEHX328vKr735innN7Op0dKQm2M+AfXnaW++YIZhj34KkOAAPx5IWFS0scDMYG87C490En+8uvSufv88wIcGzKegCtB1q0kEeMYFlQKC44iawSyVFZ4Ut15AivKKME3/14HcPVGMoFKxgeW5n7+ucv//jN68ySWpmjmsZzQX4IxaMr88oIOpTWHqrZIYfe45tqjUORz0Q4WqXA3pSXQzywhLFxsKmRRXhtvFmr4qvbBwdYZJhV+bS2TEmKiMd+APlJrOr1Dtr7h3dWD/Z329u7mA08OTvDM9WW6Wi1Oj49VWs2WuMTG3fubN5d77T5wXVeQ7K2THPjDIUICxFRMqYC491/jGpjrYbmRBOzt8enJ7qNWntvv7N/gGuQfxLFTcEDZXkriJci1FFciFP1KjDHd5GbyhrXaIgK0cZ5/fyJBfjC0tJQQB1GzzDqcNGu8E2jXrUyiiuT3F6H4U+xJqqZKcgYKJOWtwGUtvMpxocscNhgK6rDCS0WSXm7PDvy+AQHZr1tqMUD6T9jBIj9Z94xNjXyHrZIU8T303qsNxy50hqQxWgphrmgZI3MADZMRmyWAYdsLtUBI/BzQwUp5DlmglqaZEMVstoWKeJV5qHYvHtirs+CRPfpYbE7DB6t8zwJkVHOVsssJyjGW1aG2aDJG0kKtMml2cOlJa3qJA5VI6oLWZb5bNZRKRIfEaV58kJqJDdCPagUg5JjYaYZ8K5IEHx+GxAfdmrp4e3Ra8ypGVBAkNM4xOkpQTtOAcEeKSC0Wl3FBaD/3PLE1FhNJI7MtOqPLrTWdg72O2aMVm6KrI+ucCWwagDggkdupIIh5F96fHbnnfX7e12PQebB0T+ByXmJnEp3/vMqwNsWabDRRzkVdtAZwmA03huujozX0RGnXrzD/dXHZp4/P/Hv3rz7+ic77S7X2AIROtHCWLgGW6uoslLBBNz7e4do1TMj/o3VR5t4U1sivt3uof8u/hKPrXMYZa1DfPUcKDgLI4SRgqgHZwdwFIXHLTKHmnDqEUqjkXJlEwkaFOQpk16ZRwmVnfbhoYmVGKo8ske+w8c0Gm5RCEaNrHoisjwOSYrTcWBqnnboZo+pZPlAWOIKO0FJDUa2MUtjGie0+u0ReC8Zp5a84JNEgKAsJWSpbAmgMzDUKAG2xmaE1BWCKCQRtJvC9PRIpXN53+QUuULs0zjG0084+7MLMFLKco5yn0JKSyQZXt8UBs6EO81YljV7Zmk4K8YFxQLO9Mio5pqj2o1RD6heDPC4eITy4jxASRrau5o4tF4dXdZP5NupsRzWQl/mEAUXmSU11GaLSLC0p3n0vThNuaWsMgKnGYFhz87T1P0wynpY45E9AGzvWLjHofmN76Sy/Rrc8DJ8ygAXKhXhFc18P1v08nvAaLND8//3o7cxbofFigeI4o2FPBiDRCNc2Nm8+8ozF3zGt6+v2eYde0dYAbWKEWCA0B+AaoyxybRReZDXf/2D1b/3tWcwCK4SMKKJL9TevLuFFgkYlB4dIBk27uO1T4xVvxhNe4Xqi/g6L0aRbfOW7qC7AgsxqRpdGvYVKv0L56b/yd/8gm8kZvQyK2GhS+oUOPm2LcRGE5pB9faHq7g9wBdXAlpccAoNa9iO0V9YyOHDo95bH63+3ZefhsNgBBMGkh+Zn7p1Dx7ZTQUZ1RYYPzpVBiFu0Tp4hD3kf+nJyEggrjDsVBrbJOrOyMqRlMPVm3d/vfeEM3J+amxlfmZ13TMyJiUtiwEeTP/FqDqGOCEVAX/no9WDrz3X5PJWrGYtWecKrDDvnegLymmyfFjcdQ+nQfMBHBYh1HnuuJnwMmhVSmcXhjlaIwh5WIvut85mPugewtovPLmiaFTel5+7uLXTeRPVjO0tI1hqGt7M7slQGUa5Ri4vzfyjv/mCEYpPAvf7712/67ImAW7o0306Lg7VvLqie3Q7Ih/SRaULORFUdUcxHUIYTo9qtYZ/nJOYYIrKjCeBng9DiDKkxphUxhRcCkhZMxGpkgcAUSWOOt2dja1uu7O/tze3uDi1MN9stfQqxJozWm2Mjc3U6phWi9/W3Xvbm5v9w0NeKaISFS2FDStEWIgo8A5XxMMDXED3sWR3c+Kw3mq2psZH8XZDtdrdOzjs6iLeAUuUwTnG00xerMG1lRdzbytmjFIFjJ6MY1VDnz9MFzMp5Cmeo3T8R0qiVDEhEkFcRTn0jvspP6/MgfVim4ZwWJVWNrhzWPOxcqUjN/75qIR1PEeYVRkej8MTSsjPqXzssWEfZYe2NF9PiT2lCJhLJa8rhbfE5XUwJ06yY9TWLLk0AGfx8NU/S2AMfgwHYxJY9cN7cpDTE8TjKRh/e18z/IEYZPCTxoyUJZEBgacuN6neJ1gh1In0kCY5dGEMjDFakUPUyYRHcsfEdbKAjFxTPFcTOhwgV4JSRXJsIRpug4jwTurARExtwUpk9UKjnEfMR7Uzyw7t+kQmxfMRpkgKlkORqVLHq6ZF1BSmiUWyMN9pExarrYUKWqpZVmkWsVttkR4y2xv9qWb10flWq24eL0DEC+cnrtze3escoAOCV8RHR6p4XuBCKZULzxD4ziL5RSeAatPLj06/v7a305EejDWHZHxQIbaTBZ5K34Y8xmu2/0UWdyq0Uvn+1fXvXV3fbpu3ojEcuzjVfGZl4uuPzc2M1yeb9W9/7hxWV/7oHl4SVXu05wr+zBARIf+qBEnpHbOl+OMPN378wQbtowXEPzLd/J1funBhtoWVq//1X3zyycY+uY1skaJVXqjZlDcngDgjDsv1TvzFGki8jOulnP5TA1/1V4G8qOHH1z9MO5Dy7Q3cXPJIOzLyg6t3f/AuVlKTsKgbINXNGme68KIPhSV3alBAXVTQlkeOxqkIpoIT4IjgpCmJFaMg4c6QZvTzcEJTELtcEaegwvhgJYnBpn5nukciXnVZ6P4mzD6A1SVlM1FMwZw5yKq2lVQUit1J48/cmFwFclac1KiotQtJscI4qexc61ORGnxjScyaVIbTAPpxNC6HnufX9tMwwciwde8URT4gUSe3nBJs2M864M5aq/ABRalUU0agjMAvdgTcAHDetaVRHcHyQWg6c3VHbhn3ugxwMoIgjNOGIL26ogGNwb/aKFZjRsO9t7Pf+aNXrvyTX/l8UqBvFEyEMBmA5PrPcnXuj7caz11adIyd7uG1W/eMFaDGJRYjwKNVEPfwfVXpYBAmP7yNunfQwYRLfC/WSfjco0s3724yCxp2GvDE28xXhtI/+NE7GM09NzPh6H/tpadeeHT5lbdvXP14TczjcCP+8NFZrDU71qh9/vEVrGvtz2zGNy5fw2AeqG242DuxY8CtZg0CnXwMB75Pj0xgg/agtNvpJUcP+wgpHspjjtx7n6w/e+mcSgDwuUeXOACsFQHUqlf2TotI0lwc4fJIMPhSAOOTzecumUnbkLjfOfxAjPQEmiTUSh8EgYSFHDnGZOD9bu+DO5tPrcwqEYDPP7o09ACw3KnR5WJpYqEqmHFw9POPVvFB6MCMfn+n3bl+W8o0QCQy8NB5m0AagE8gLw2jiH2YSXsgOI4qhw1u4g+9VszKRbFGGuAAVskeGa1zefJRfOv0j1+5ep7VbFxpMHf821976vnHF3/y1sfvfbyuVrLC4MyVmj3eqn/+iZVvvfSUG/MGDSa7vnltNdLimeSaOBE2w3PHpImgJwUQSjfvAuOJP0nSGXE8ISOVOj4AXK1i+OrokJ//pphjmz3AmDga+WOrKuSup5CK0Nk96mGm7GG3i28DH+ztTS+em5ierIzgjgBSPhuq1usTM9O1er2Fb4Hdbm3fv99p7+OahdpJjZ7AHAOKUYmAIUhjCvnB5gOW2lGj22tNteqN+uj0ZKde78A1fDUcC7GpzR4ffMD1AFd9CTyv+x6yUHIAQwpaQcct5xSBhewsQETRgfggU0CAkmi9wF0NNxhMAeZcEdNiKCzi9Ak13Ly5sFLnyFfrz/o8zDGgAAoXJWkb2cdVef4UEFeSnHkEcEOHjlh7TLXiJDte+ZFLnlYej32AzzxLrGA+CD/etSBSIhXWCozADyil8RdlUhJObdyieN4RfsoJOsArV0oxeCZL0sufsdGmjkCh1OzU6n08E6SQjCMyRHM8MafLhTLwwj841g+uIE7Xz7/20ryrxdnEAv0wCEbnggmc2Li89ivPL09OY2S1UvnB1XtPLI6dnx17bGF8fqJxdxfrf5lWCy3jlYA7SpAX68gNfjzyiC7ZfBCBb/2ubh18shH7rA9U4wchOgBJVjaLeDOhTOZl5JMg4rQaI0Gk7Cv43O71e3vX13ev3tr5rS+tXFoYnxmr//KTs5vtdSw9TUE4UyhebPXNUn4rNDoCjkFbUSD20Aj8E6J5Xv3wkzyblrREDda9sDIpIcKyPiZG4pnRSnYKIIlxDHbq0ywANLiAGOWUjwDbs56jtzK4TVYqUqkgT+01iPWgkRF2iHYsRpFyP0x7llrk1OlaJnKNcBu509UwUBpKgJXBVOGB5EMQsGg/JadCK8UQAdlQh/gyd5YRkFrAnVyyzkSTLWAt3ryqLNcbY8NZ2KPyvRvOmfj7GRJ6dgH3JX+GAlKaWkagjMBnIgJuADjPWqxm3JBv4qIhLK3tNOK8W1JEr1RyvxzAgGsfHtqjM4OVgWUwEaNeR6++d/NLT5x/6sJCJFFTIsxIlGY8WubSy2KTHk20F59YwSrWjuvdT+5ivMBvEcqQ2yj7F0eYfcoLL55ecyBOmv6Q8bP3b/kDwFg6+PuvX+t0QMwNtPh8L4YuxYZe5/Dwn/+Hn/33v/E1f74yvrr6W998YXOnvbqxs7Gzv7m7DwUTrfrizATWSYanzjwkMFH1D3/49tYuF1/lZpwyQ9rIIQ6BRx/DI9Oh8f1SbhjJzsdoH/YhqpyY1e+/fu2WGwCGs088svBnb36AJadVnehUbidDYSLMx7i0NRLLMqHlgeBhVJtzx2VDz+39T+5qx9Vx2IQpOpAi8vjjyAyXwh55+8ZdNwAMI596ZOHP37BGWmZzpF1pzRK+4AuPuQo0fEcGNrz2/s3YADCGSN+9cddvMNESY3tMU0bWI0YkPKKR2cnW//iPf9mDDE6iNP/qnU9+9OZHSkrnpKsBLzBCLJ9mGt1vd373u6/9d3//q2NNcyKj4l5amr24OLO5s796f29jd29r5wAFMTFeX5qdxHeCwevp5lj4d370jl/NPGws6XsUoRRqcKhkDqMg5COQw51BIrDO6S6qSPvsDbyEz0XgO1iDjBeO1Oo0UGRgSZI6QGsGewQpQDi+dKhDD0rksONRSL9/2OlgZPfw4ABTgeeXl8ZnZppjTcxCx+WT5TY62pqYqDXqzdYEpgJvrq3t7uxiKnCRhqlqxn5A+edYOMA5nxM3h6MuTmy8UXOEqcDj9WZ9DFOBuQzxaHefK8dRWGgKLgd0BFHggxw5ZTOLIW6Kr7sALo88zp7Mn4zblwdJYQwoOhAfZHzWYmlEkS9Q9EZrfNMIF5uERiuncKhzTg4rK+9oHQr9TuPA9V4qQRouhFmZgMbd8FAhzzA5FZoZOnsvyA7uMMpK2rONACue15BgqfrNjILK2bJBC/F4t6SCOpJk1Mo/vUhIWzpJlAIhh2FE4lTOiRQtJejhiIDeRU9a0DxH5P+hrDBSo3km4JdVn5Xm4SiT0oqHLwJ62WfHgi0NNwpceW5lYqpVRRP1yurOVrsz3apPj9WeWxn7ZKO91eaXaFDh2J+WimcvwkaYeGk+33Nvt4Pv++I13/MzrZcvz2y177qZu0Jm6y3vPxQJIIY2+1V0193DB1jFucUyHsgdrUWeY7RiNZk4Z/bD9f3vvXPvN79UOzfZePHi9GufbG9hcJjUeLUUHXgc5WQGvXfzEzPMTtRzh03bXRinM8tS0z7518nBhgohA1RMwXxaGgS7+cgFj16068kj/9jax/0SNOaMpVzyyhgwJJtTVamZASUyslEyhNJ5IBRojrAQilU3exsilkTRJt7KbRo7GAbr8A+j8WUrDQXVC1XE9OmnTEAYBxqjgTmZWRRlxZ5M0sm5Y7agCI4tk0V3qsuuHNuSU2c8flBO3ZTPpsDkec0TCZueB7nxTfCewrkTyowE5tf/gCti+mwWyYO1Ogidpzor4Fn0ZC0j7wWwTJYRKCNw6hEYMACMSxDuWXiSW5VhvKyrGIlyr1ZAEo9WmDYJsc+9Fwot6NnOwrAfJgFjYi5b7b3K7//orf/lt3+5UY8+lKtB8eTBTN2kGSvPzb78dLD+8zvXZWnlKJwYccTjasyqlPWYxReOtPEzwGy4Yx7T1Y/vtDvdVsMsQI3Zls9eXHzj2m3K4FW8TzulHwVuSLm/vfd733/jv/n1lwCP9FQqM5Mt/HxIMs3R3x+9hc/leii2WO2gNgP58rOBR2/r2sVeFDxeSUrkYQtKE4sho/Py/s21/YNDO3Y4gpA+c2Hx5x/Qo1AM7BflFBNiRHC0Q9Q58xdU2CpYh/XL3vrPeJf56o21iNiknEBJIJIohn6vVkP0a+gnvX9zvd15zE6MHmk0qs9cNEZSgJiGnfzAKx2vhA5gUZr4wtIRill6gTfubGL9Jqwp7WgRkCveSshgwYaYmRrr6PITwkYW/J/FBjd6qGmjNXZxR7uV3tr9vX/7Zz//nW+96L8/AO2zU+P45ZrA0d8/+uFbN9dkSW1XDik8KTgFOURwOiv0bAKQbZ2zJYVkAAis+OGj46h2uNRg5jVm5UulGsDoo53+TE5HQTbN6D49VAG5r6lYugC7VFJ+Cmt/e6fT6bR3MQa8OH1ucXxiDGefWMnnKvi27uQcJgI3mmOt9dt3djFgLBPTs+q4cw1+pbvm/C/mSoIq9M3lMPbYOWxzXYV+b6LZGGvCYLxH0h4d7XAMmI+nPHv4zIuXDJDzjRVR4kQlVPqA06Ty5bp0MQWOPDcBWZ7TASkv1VIT+SztFDaqQjT5bebRZh9fjOMTuFTRWRZlGpEhh/RqepZEPtYDURbaKbQELhQ5GgUV4aNUwSgWJHO2SQI3FXGFhSb38gANG8rtMxMB1zwwxRYenBsPU6HSFr3gW6vs0ZnrEkLrcr/ICTkXf5EdLOybtiVALtWC7f8iG4ijVkSUKsJa0pQRkAgUq2kPV7AwRiqnCHb43O+5KaywNvrunV2M4N7f7b50eVYGgCdf+WBzq81Rz9EjfBSpp++Iy1lizi+My0p3lm8G4UzaPej97MbmLz0xuzTV+voTc+/f3X375nYX/LKxZ25jBX701Plkgu1faVqAxrQv2E62lOzYkZYvl6NzLRtgZKn8/ObGV5+YmRvH7IDR+fE6xp6P8NkcCKQWQ4skB2VzTm2Qo9uOP6qnaDosc2uhlK0xvp0pG43Ge9GcmcuBVdEi62PDQo0ANeFfcbRDaNC1Q5LSeN+lJ9LIgwj6hp/KV2raawmAph8OT3ritAiIMCi1T3ymaI0nuxb9HhYdw6ewRKjY+BCO/Rrr3YHhoAumCF0AHEFqQqgdi5CEuVQuD6il4AGOlSwmRRpgJLX/A3TZ+jucRwOEfgbQxaL5GXDkUzORF0q3SdJdlQTsYR3Z2SdcB+TsVZUaGIHMgJdnWFlBygiUEfiUIsCH4GztZW+4QHEAWFrctonsUQM96BLGJjZ+aFDKO5l4KMyx1nBY1JMYJUGPH0ZhMfxcr45iwit+23sH/+HV9yKiRMo3BwJg+aXF6eW5SUeI2be31rdjZotNaLyzi4Fw8Cfzj9V3TB6GD/iyrxOCxAuPmRWYhZgPu0GMjhyMrONTotXRD27f+z/+6BUMzcb6Cb6QZBojx3+A0d87/ugvjJUoimGIHKZ4Ls9NOV54dBNfxvU9dziTQA+JRUUjsdQtwo/R7l7lHf3GsNCgF/fs5SUSJXgFkIZxlIIkozJj0Gh05MK5mSUbdkTg/s7+7XvbjkNIlVqYGW9TD3GzbIzWGk0MSVc73aN3rkfDxjASS1V7QsDFmiTfm+QkbNQrI0WINM16xCpHqyABP5T0mzp4L2Qwb21jd31rV00Al9RSKVPPME9vShJcUCQR5qsDzp0U0mOBnC/oU8IF+NKQ/Xs31v+vP/4JohT2RvN0wN8793f/6M/funlHqo2WQwqHFk2AUJApM7jMPrcl0IQEwoLO8qhGSMU+vhoRgjdNZNI5XhIYOcTa6/jeLcRqxPNFGxuEyLkfZ/GJjLmOVpRozgoJyOOyTj3PEwYvhWAq8L311Y9u3P7ww831dWTx5IU1mqZh2edKa3x8/vz5lccvz51faTSbqOix+qZWO08yg3ci7zzmmD4bF0wF7uwd7G3u7G3udbtdLAc9Pj05Nj1Rb+J08YzScxWv90AOHjFhn70pMkOhx6YUpoQ9+FDJXEuGkpRNbAw1BIMdy5aUwHCWBSaQyHXZj3eCMAScyGspVq9sjegkJNTp51xEihviWDLVxc4Qq6+4CsuRfzxtefnaSmwZgV/0CJRn1MlKGK1g2djwztoMTvo0uFIPc7E+mXEl98MUgQdxqj0IHYNiqg8BMPyIkUi0rPGGKVtK/d7zK5PT43zb8sotTKLt3NzYu7N1gLm08xPNy/NYGBrnBcnQqBQJ2JkjudHAYGtL2hlo0I5U3rq5+fNPtve6hxiP/bXnFhcmG3wlWzdZTprnmYgCm8VQMjeYhsFfBEv+SanEYjF2HH21e1B2Do/ev7Oz2+FXirAQNFbbMXZSHoemNezcm2QUowAoGahCQ5yPYIx9GCOngUd8F5cURAPE6GGZNhkJ5ue6dMAYLXj0VtCQZ1OeIlSMcGGHLDZazwMScJUJUOlkZ9FO3ZRAMvDITjQzpwmOlmtUMNEZhMkfleCbxsJOeRoIK09MMTtr3EN0FCeNPeoo94U21r6I5bNwPRfXIu+ilPhrb2GS+Sy48xBVo9KUnAjIddqdKTmEv9go/1Lzi+1p6V0ZgTICZQQexgjkzQDGPYrN1gqmco40+Q1gDo7SiaKXbm0zq9syyoCBKxxlnWT0a/ba3YlWQ9F7B11NhHvzHBkDq5ygx3/KfPXdm198fAWDoCGxyYEUDVE024SLAxiPLc/5lInpvxy1Q3MPlGzQc9iDjV6+r4khQ7wH2afZUPzzD/Hh2Gje7cL0RKNWRS9IFAoLeKgaQ4xYBxPzhvtrmzu/94M38JXWX/nC4597dDkYgfBtQtel18ds1zeu3fp4bZPBijaGGwAA8QcJtcro4yuBRxhjDjgiXqS80kJQuGQSIlNp8Fh556M7Lz1lPoUL+b5HngxPggc1SQ8pRjKOHP6sjz66bL7dC0p4dzWYda1s2JMJBMwrTIaoR+v49mi1c9THtz3f/mj1S0+dV3XGSKB0qWpxGzGpstfIEsMAvFJSXh+TXOUbuvLtXxYikVjVm6/hQuyvfPFxCMSG3qSb/gsIglQdOcJMW7y1UJXhYhJxw/K3WN9bVslWQLSnIJaO1NkaesMn3PDl6U54UmBEkpVUqgH2UAaHRnhSrq5v/5vvvoHh9m9+4dHnWc2ydMP+/rsf3339vVu31rYQFYl9jFiLIQZkVlTbUorhFSfBjGHOJGtszDS1kFLLrbbzw7G1Kh8t8MNbrE9pwckQrKIC9630BIcKDmiVJpMjISIfADmqI58swlKxVq327k5XpgLPLe7MLS2PTU2YIJCkX23UZxbONZqt1vjY+ie327u7CJQ6QvzArRBRqpSQM8wlGfDU6PAAJbmHub39ifHGWGO8Nonp3e3dfYwN85mN+IurPka+WdR4SpO9qbYBOg16AFW2Eos5sQArKHGEZBZVYGj06kaCfAhAzGY+aOOFFov/y1cXjGIjMKXeD6EqTppb+ZxdCZ1xAK6DcsLHxefnIQUqfPfkesomit3iigD3sJbq2EcjPkXLsUWWjGUEygiUESgjUEagjMCpRwDNbLSOOPDIXQ8DvE+cm5hoVPc6GEzd3t7Hgs+Vd25vP3ZufG6i8cL5qaur23d2enj+IXzoltIibWGIEI4v6hgmMCr1T3++enGu9dTy5KMLY1/GQtD7nR3pBUMln2WwBcJmC/doCFO0acWz10OECJaGvRIjz9fipbFILjbupC/aq3CoWR4KzY6hfV3p7aNbys41JMFTykImJ4hUZTaRjDxtY4Q4hEoTOcRrN5gBBIWi3wtKGDWKib1YtQl9byiFP9CNDLCIMxIUj1elv3RpBqPpIiZuzspMc5zrycE9/HS4VoPNzjbMZ29BJEvHQdlHLs2Nfe3J+TafQjgPBCVNwKu3d9e2Dxhjlcm9lCGJ4wZY58pjGYGHIwKuRj8c5pRWlBEoI1BGoIxAGYEyAqcbAQwAp7VH/UZ7n+N5GAXDa5dsBhdqHJhmvS8aaR28xLCaNqz/xX98FUNYbBf76ox/Rg0lQLvsMQxbZc+C27/+7mvg5dicsPuKwMC+AMZuOZTI76/g871Yq5m0CWJgAcMgn/Qo5OVNBdFPeYrNiaPSB6hUVu9t/7Pf/QHkUBKFBZszlWj2UXrgrPar6Mvgu79/8MO3/v1Prs5Ojc1NjuGLsNhPjjcPOofb+wc7uwfY38U3gQ+6ItqJhQ1uoz5OROZM1v6rVz/BKLhYTXjSGGHz2QlAv40dJS4gDNfYPbq+uvG//avv0U6KoHKrDwlGwGbDo490HCSBiEr1CP/snf30nRs/vXIDkiVc6AA5UohlGoazcxVsMAwMVYzG1bEEdK+LIdCPVu//r/8yMNIJohAM4vQ4RxwBh1voIv6rP32VZURrVAvdkCBxYF7WUGYOhfLPfvf7UCfmeZTo9XGKLSRqd7TyylvX4YhSBsb6GdYSVjnWcjD2+v/77//I4KHeeOwzpKSlCMxsZqwaBSPjROyRijDTsUaoYD+0cVvf2P39//z2n/z4ytz0+NxkC5VtdqKFaoZR8O29NqbOb++21zf2Wc04Py8hPKu4PSMiP5Dyt6QwH3ta6UhplBpadgorwlqt4zvKoyPd9sGRGeDPdSlFiDMkBeeDUuT6aCfmGImh5QQMNAyL3h92d+7f7+7v7+/uzS0tzi6ew7i42kKC6uj49FSt0Wi0xtZv3tq8dx/vFKRU1JjxgZ4YLiebYEsAspn7/e7RQQ/jwLiqjzewfvXUWBVfs6/X2jt7Rx35ADxPA5yb/Ght6o1tsDal4H4wbbapJ+XOk2xwxrzTspdSMzxGNPmIjjcauROzTmUSF7B8IAlrZc6WgYb1AQZG0qEMp3LkKyrJB+n4xdXEBClFDBhmk5KtRjF5gIJQVpkrI1BGoIxAGYEyAmUEHmAE0DuDNuzZMUajAI0NPkvpP7syOTPOZYfevb2zsdeVMcvKO59sffOp+fmJxlPLEzNjjbtYxZmmokuLSafs2FIShFAoJCJlRjpVw9b+wffeWZubqC9OtX7l6YX313Ywt/hQFLM5IpsOQqO/CRnY2G8XZiVAi5gadIMG9tLNi/FiPL/GBZvxt3PQ5RLTI5WpVq0OaRzd1gc8tE474JQM6yGQDcHkBqTq0uAgx+4sYJima3wUvMBojPaAoa1XqVYxI5djwFVOUKBRtEaDw/aXNMKw9M/fem4xqTgGYVtMJvXKIykoYsTFACGUkFlTK8+sTOEXk0B1sn33rbX/9M7q5t4RZ0XTHPzL2DuMh/RyKyOgVb6MQxmBMgKfRgTK8+/TiHqps4xAGYGHKAIZM4BxdbTNVCQxpIUBNnzbjw3rAZvrN1g64aAw6WSg+YsmMcVIB4KN4XivIK4CJGjT82kyG88WK+xs8LtOhlHIXgAYODjKVacjXTFiK0gs4RAzlkTGpDFZ+hWiiKY6iJcBPZHulCaMVuXUTBp527M/WjXdFwhjjwY9lHtbe/iBAJuzR5xgPCQ27E3JFhmoxJCAgqhx+ipp6Ca957/hUD4x3SRjBxDjDyP6HC7FYKioECBEYCBV3RYmoAIDjCRoUkwCSQxEwUiOnMqMXJhpjZRej+FRGZAj3dqYicj2q7V6s17XIUoOqfK1ZxzEWRUpTABBIs3niDNKnIP9VqFQW9nUCPekapjZwmTDhph7EtVA1hy6wnKXIGiEUQGtvPjRBI4jsax4tEtEqTyGzFgWZ3R5I1qMoWogIEY3KyUgZjHSeAqGS1rToEm663fv7+LnZDB2Eg8RzwHmhCsJHU4ZrTcbdbmMBT6gY6Q3Sh1HNX1I4UNIqo0GCvqw08UXTEHhwh+nztOfgksBOYl5OEdULDG0qGwG1NZe72Bv7/DwEHN823t7CyvLzclxeYCB84KhabRa88tL9WazMT5+f3UVX9hVeIqt2XpSiA0owZMAZPN6GL6H0eu2u/3DHXzqvDHZaraa43jZpzp6sLN/iJf3+Vo+DefDOG8LMh48SBqiQrQBYyxzYgExeYlsaKhec9NOgQRjNiDHZlQePIM7Ymx5C86WcQIMrPcs8JKQqZ75MKQT7oYSTmBKAVar/0HqLGBWSVJGoIzAKUTAnt+nIKoUUUagjMBQEfDv9EMxfhrE6BCjSQqTuawxRln7Fczxxed+YcvbNzc3983iNGs77U/u7a/MtJq16vMrE7e32tvtIzRieKVB+w0PUMiNHJ2nGDwTEHcIl0WJX/3oHoaWv/ZkbaxR+7Xnlu5ut29ttPEqpDotrBxllf4gEvJMRnEUTNkqUOQzL8Oq1AgMHkAQDmOECBn8Ooc9LJwkZkEw+sr0lI98yJDZlzI69SDSjA4agD9RTasFxyOHYdlo50Az5PKgU445XGup+KjFmJps+wU6/QyV0UPIlH4BxcugMsehMcdYrPFs8XmZDnrVIot20Hdk+CxhCFvisv8a512h/jWOQel6GYGTRaA8i04Wv5K7jEAZgTICv2gRyBgAdm72+/XqSAOzDAmRRnVmK5a3mOg2E6WMLHYaXE+AGT+vWewtG45CwyY5+dyOWbuxxW0kEWR5rR5hcmCn23J7R0yKxdgqhgSw+ZKUx8gx9DGlkRT2WGSDtfhjLwkgsY9dLWyEOMfUKbVfBrdJoRI8RyxIuNmHkJFUExzrKDk9Qs2GezEG4nmUaFIOftyYkv5JXLuiDYlDRtZFeE2p8ECwKjGKRDsMcJGKCwABSfH5ZEzUw2h8RcbjOWApRioasSQRzFB3iIsVbixLNWAhozqqeQAlFERbpyiZlMSYXjUBESFzdlNi5Cw3iwdddAxYW4iYKPZapryjChTlQqZSdO+UWQHWdnMMahppwGZ4SKGGpDhiLbVi3dEhjH4jweEfSMIZ4SJ6bLWRqFAE4HivAnNDa1X0/TE3lO+6o47a+EbUWRJIkYJLAamsTESkqmhqaFG5DA7J1wsqhwed3cNNjIh32+3Z5eXp+dlRTMpHcHg+VEYbjan5ObypgVHV+7fv7GxtYdiP7+no5kQV9SSD7ZhynFY+z+l2uLA3J3ZP9htjTay9UK1XD3YOeDGVB1X0Sar3YG2DKZzq3MRpyclUogp4v+GGg1wENHf8fQGz8fisj1khUhn0o+xpJ8cQJkCnmp/OE/rFy6D8O2IAjr+FwgvKCZkG6Q+pC6ooycoIlBEoI1BGoIzAZzkCBdoTn2X31HYdDGRau750mq2kCzPN87PNunwnY2m6+dXH5kxLaWRkeqyuvC88Mv3T65tb+4eYkFqVhXiQgACu36UjkvoitQkkh3V1GvGfvH7rwtzYk8uTz6xMvnhxdmt/TZpRlg4yQIdX9Pg+OXq6gJuGCMc/1WJDS1II5eA1e0UcDNY3j4HH4tVo48HUzX2sBY0P8+IbTBg27ckIMBhSelHqV4G913a11AQJGCbr2KrF6JFoNP/UAcvP4fZ/8eMPr6/vCZG2x3QPQP/p5alf//zSwkSTWMbPODmCGQEMD8GESgIEjNNI5dUP7n3/yp3NvQOiuUUPIRCPvU5vtyMD1+xW0CQlKvdlBMoI5EZAT7NckhJZRqCMQBmBMgJlBApEoLyj5ARpwAAwYteoYgVQTIlExyIrkoQbXBaJmMBWsP1P2GQ53dEmlNLypbakQ1IwsNlt+WxKwAYaO3DSKns26LnEReXqpRi07mPSNCuMOvQmvSClAsAkEAodYkJeQboPhBmExWQYY9EBq5cBHj8Z1AHUxIMHHa1RNLIJOUqajfd0mKQnHMlIoGbQiYpACWYJjazrja8JobuJ0Tjp5kqcRLBKdyIkobDsehWpiSg18Ipx0iJCP0SGyUMaLPiU1RfA7iI5WJuKmOSLdWntczKrolNMcLROSeScxQlEJIhFFhwcfdsjhEIdLrIHJIDm2hNJOWHKqT+hHLU5Rwi/o1zFEsF4B+RQHmJIXz90coAxcbTmsQ+lnF70UkTneFgAFffAPLjBwOn+7s5Rt9vBavXtg+mlBSz9LCcxHmn0R2u18elprJ3daDXrt+9s3buPoWKE0TAXUOuRJCzwcMdPUir/Mau7s3/AeQP9Xr3VbIyNyfeeMX0Aa+Hz3mbosjSpdYGN8Uy8rLNEDdCUw1YQ5QxzT8AKMuaSOam5VESyfuDhIqelcO0QLCpenDdPuB9gpCOhvKnSV0sQIAmNSEV+EpKpVjmt4EyyBEI5jF7Yl2hXBBxDGBTwlZkyAmUEzigC3gXljDSUYssIlBE48wjE7v5nri9DgTxBgS3yjIFjqpUXHpmabpknMH/7heVUvuWZ5oWZ1p2tA67hLEO/7A7z9XK2eGQwGO2tyEU+puHU25F7u+3vv3Nndrx+bqr1a88vXVvb2drvRnTKA34McXIoVZogZGbLhWRWpj0CQBrZyzrLaN71MVBd0wHsrb1OR6Y1g5cdRiMU7WpZnYryOYKc1jUgijrFCEnbndNtAelHFeDhxP7Ihf3u0epm++b9fZAYJY6l31+YrHNCtmzsCsASlA6tlaDQaBFFFDew4nd35+DW/V2s2i0waXqyXMiCHVJYZ0jKCZLMymRgN2olOAwoycutjEAZgaEjYM7YoflKhjICZQTKCJQR+EWJwKd9J/i09Z+oHAcMAKPJyumY0kmQ0ThfmXE8PPgEBdM2gPHjQHbL4BOmwYDPALNFzpWEZIazNP2zCH0dJk36Alu8jc88/sGr7OlCDDQd6bQOQKuGNFFqlGN3CSvZNxCwBN7S5RwNj5NUsDdXrdZqeNUZAwh4n9gsWoWelChyZrhEjv5UlLMmJjCVOAH0mVJMoIeWRI8JCQMAKtSJHkaIofVZnDkpWp2OCOdAmoiP+4IQwn35Eetpp5wpFBxkhtaUyw0kfcJXsRsNdNwx55Xzzv3HFLnsMduUVveZoRogsIB/vpoB5M6WjDAOMgYPKPBMqLO/v7l2F19HPjhozy4tjU+NY8FsPCQBEkN8zfHxWm2Zy0E3m/fX7h7s7mU86MmyNc2INFgWfzo8IQFzUjsHfMR12DnEctB1rPiNl/77laMOlv2XJz7pgizUP7stbIgj7NFzJ2HYEEIKk0ZKolRhZp/wWOx4wKWPEnFvxWMwnlEn3iDCu/YkBRKpBHrhchQuQbRkCt64abIye4oL+GHVCKkYIy8DQVRMjk/opwvoKEnKCJQRKCNQRqCMQBmBhz8CaDxqUwJ7Wfu50qxWnl6enGwOfAJT+dwjU+/f3VnfwbIq/DoRGxFsYKnT8uaivL8oYLZYqAv/I5WfXFvDd2q/9mR9olXDAPN/vnrHGAG8DHVy+RsZeOX8XpFLocZUo0DFsiNAkYZIs/XRyhNLUxPwpFLB6DLengUr3rFE910N4HRZdBTi7R4qMRsevThXZORU+g54hRRtRjQegYvMsDx65Ief8PCGT28oX57giA9Ek4luOGYk8HY/R2R1b54oaCwtGeglMPzklHxMGJOZ8XowZYmgmDE+ELHhatfkI7NaYBIAK4wEJiWoATsRN4CmRD+oCAxRGsMV84NyoNRTRqCMQBmBMgJlBMoIlBHQCAzufmD9Z6zqw5a4aYtrSygYHjpWNMMWlTTW0ToOoTmCE4QJgDJngIFUDEZ/OP+XeekAFGyie52LHCMFlWKBglIQzixypuNFZgF0BrvGOM+ASPYAA5wlsUTAJj3UGEF2dgTrP9dG6zWM1uATpOiOGdJB9mZLtJhiflvq+JH1wxZI4J4SmlPDkSi08N73DppUWWHuFMIUEx1VJs4hAv0KDUBO1BkkjBHOluOqKCZA3cIbLlhyHNe37kEXLx4w/o4diXTfHQUt1IzuA/KA6ri+OL4hpPmkftrKSoNZXHjEox9+Grmzde8eJgJjGHju/MrE9GStVqcMvsZeqTWa0wsLGFJtjLXWb97a39vvdQ/lmhoEI5RL5gQkHZZClgNKk6rkeOzVbXewFjSG+ftT/dZ4i2/nY/gfsxiqo5glnGKuSjO3u2zRRew5FneO4BgKtyTYz8d02E6u6/gSeNmWGcB9vD0mCwTGLD1pVh7f+fZpuVkIo2D+Y5EgdCjlQzOodFQX6qHvOOKHp4ipio8pfygfSuIyAmcRAVRoVN9yk1O7jERZEcoIDBeB1DviMCJOLGAYZcek1ccmaAz3ZIIsBl4hCMBnlifnJ+p48nDj3v53fvbx7e02l6IxrQQ+kLg8P/EPXrqwONXC13xn3q3f28H8XQ6LokssFxvIIDnEqUi1T7ISF1JXvvPGzYtz448tTXz+4szGbmdcBmtBKSuSgIwPdrATXh6kw61ZlRft2Z4XTfq0BIgXLszgQ8Vo4h10j25tttt8kxINHaitQixfD6V8OyQaSWKKwiBRBCpGIRz0FSns+RMke6VwezEFmoDnv76/D6DSWzLrI/MSK/M0AUUB3XRSmmnoFIgaiSR2KAURLeHANGCgqYcbpJCNmx65XDb1E+BP6CVUPFcy7KF7RFbwBqbcygiUESgjUEagjEAZgTICZQTKCHxaERg8AFzDACkHgKUNbRu+0RGGayPXNpILeKIMllByCgoRliB+TFAlAMqRAQbSYnBE5wHu4cutsglqgCe2kxY3KyVv9SRQ6QgDTUf6MnIpPCSSCWcU7RH5gjWdi0ySe5CAk5kA4BEmktpdRGlocWC6OT4pxC8P6VZYTkKwhADsKuG4cjK5XY+QChLBTrEmBPlyh+cOZKW75qCQ7tIBHzKKCPQ72gAaZzyFvNNtNDrFx5U9lAD02rHEfb2OV+sx3RxLQLPfrhKwh++R+5qPS0+ndTHVRCTkgTiVr0T9yKexVUKpYL4MqPX3t3cOu92D/f2FR1ZmFs7VGnU+/GAI+qPV6vjMTA2LQbdaazdv7d7fwIwAPakzVIWRDHMZLMXA2Q7ygQ+ei3UP27u4tHBCwNjEGOYrNCbG8LXxTrt91MUYsOU3Jp3MspNxF3YYhNQUXY2KcZ4FFaLKbykcHtUqvRqqhRkFHU7VMGEDLW7gPG0jLlbZ4TRmUmefvKrB4TN18hzxrFEGD2BUZ/JnmlYiygiUETi7COAcdWf32WkpJZcROKsIJO8yZ6XpIZX7kAQAHVkZPOQQInsYuv7zGB+/vHH9/pXVra09vHuKdox2eDmkeGuj/fITCwuTzVaj+szSxOrWwd4BxlZ1fJLR1jYFxUWbiHeQkZG1jf0fXF2dHr8IOX/j2cWAkC0kfbAjrXhwZV/sVKSOtGrLCkO/3/78+XNT/HTuT6/du725z0/mYu6vjC7TAbgpY7KR0rSUDPRSMR1hM06MQKMRWY7Eyvu4jhFIipY9EvoDi3nNkPrIZ1p/QWT4+RdgxCSZW8yWPgQIuSogPXmFEOPTSEMZctgw1OtRkk7gwmL85EFohYs2CkSlCLl4B4/pA8AGo8rT9iotDXNGsAeu0PqRrTgbY3n/GhzLIDwEhVwWwkNQCKUJZQTKCJQRKCNwKhHIGACWNjYV9Ct4gGvW4uGrkrgHOpw0YIewInH/FEACmiMxQZsAKHMGWPwJcXAGn4FEwx2Twvo99K887xKGBB2ABDYAhFo8VDrCQPWQb4InK570ZHvJGFU2BoS5yJigMBtxan8pxBbLYWFZLP9cq3JwRmbpiT154SgkV02LDCzE5BOlsBoQDviphUPaqXwqZ0hW3zamVUgcGsunEKWAikqLCT9Z1tiRbk5R0cW5QSkB5xGPDqrVeqOOnjomuWIMGLXX9PuDQlHpkQ6XohBbA9JNDeSkk+RBnaY8IocrRj2ISp1yQpGgE3xWUsFXfjfW1roH7YO99vyFlWazhXc2lBKjcI3x1lx9ud5qrd+6vbF6B1QJ7xO6EwBf73DpIqLEk/7hUbfd7bY6Y5NjleoIFq8ena1Wd2vtnV2uCG3kFBGXbeDJuLPl+hhr6CnqOhVRaCrga3KcXI32gw2nb/jx0lqZxEIkcfQAcYlKYKDOqQAaZ8nMO00JCjUgAcblxPfaqbeEDnD8m6WcjtEjRyu5PJYRKCNQRqCMwF/rCGTcl36RYuLuoQ+xU3xiADv54wiwvM8MSP/cROPS/FizVsWSQ1dube7g67x0p9fHLGE8jEBLG4vuHB5dubV9aWF8ZqzxuQszr13f3G3rEjXquYz1gknlB0FQAgzuIjHywyt3nlmZ+cpjtUbNTkFVPCzCWstkJBkPGJrUBgm7QfGNI6cyYlodGf3io7N/7wsrFxfG8Who9+DolQ/WN3Y6ZDkaxVjsKCfNcp4tvv/LgVMzOitKPLlsI3EWMPbuyQoWUsYYOJs1EEaUWiZZgQBGFNTwyQ3ViFM9aCUxLcS/0UJK3czkX2QYfkWLQ5q0eyklcmPtZ2ggFw3EBqngjASKJFASwn/y4MVH2sSNI8wsRbxfjIYwTZQsSXtiuxEVCBTOcldGoIxAGYEyAmUEygiUESgjUEbgDCNgB4CDhmiUQZu3VceKvKP4IitG5bSty8bucFvIYHP2WERWSBvmHH8GGHjBpKJlzina5ZwAHPUSnEgmspkDMpNJ1ZIRsog2SqXJJCyXwiLtMSkkG4PSBjIbn5QVQiLOlF5jSJqfQ4esjgljWFoWK7QeHcrSTPkcxbCRgcXoPaoUVgPCAT/ELjpZPL4CSZVzXG6jwBiTVJeJUNJ0dDo0KfyUIEaddqJPIPMkZuMFF2ytOtQfHuApDC5xfpGmi7bXwZCWuZOcR8rv7dOVewRBMpc6F+nEOKqsWgk4SgsvZ2xvbGEtZXwbeOHCI5Mz0yOYRSsbCKr1+vTCfB1fBJ4Yv/fxzd3tHX2OkhIap89ZcIxEMSGgEuOtAlxrsGFlCzzX6fa6nW5jvDFeH8fy8wfbe512J1p7wHIMcSxm0hAC46RGgTlzTlGdX7PjSgvnZbXD3iE+n9av6dwMZyErVlAOhYU+BIQJw+nN2W+qxYXw7BWWGsoIlBEYMgI4P096OTgFEUMaXZL/QkXgM3WPOJmxhbkLE55VTYAB+GFQE20r9i6wxjAXT56YHmOn4+rt7Xu7HfPtXBKSAH98575Seevjza89OY8B4ItzY8szzdVtUqLRKrNiOb4rG5nSNghAM7d/2Kv88asfn59tPXZuwl2kgENnBw1IUHCIFggOnEY/JxBjz7PjtQ6kgGS0Mt1qXFoYg/GwEDT4oMqfvH4Tq1hjcWrkQYSewFG/jy//yudz6QU2oFR41jUSjXG6DSEUi389IOtGj40g4kAhQ9fYI8OdDLuqlkgfdbqNDyfQqqcBiBxloEzI7p5aCDVMkKgITvEkMqKERER+7uLMjAmLUSF2id2gxweYP7h3fX3/sKfjvU6C6KXAh3NjGXy2t8+6/Z/t6JfWlxEoI1BGoIxAGYEyAp+BCNgB4GxT8YkXTAI+RKMeLeOhW1chg+RCULZigwnJw5xjzgADLxhFJ1vddKjPGcDobmGA+4gdNN9HYLMli3KVmUdkcNo9EB5PQx6j0oYGOZhLiIRsMdkYSIDxwIvTTt6gRIrD1JGrZ5BMw49SwEgSvsh82D3CYrysb8fb1C9wa2J4ISmKI5BLaSiGlH4ybqPMCUlRnocDeQo6BZQi93RAga4gcxz5JxPAhxN4wFDFnPMaTnRMCfVO93TRCk0p+HTy4/iUVkL5cnJ15yKd3EJUQvT/s/ce4JbacNKKAABAAElEQVQc13ngu/nlN29yAAZ5MEgcAgQwSIMBQEKk9Ulcauk1LWuX1H5cpaW0siXaCisq2bLNXVPBtqz9JEtrS5RFkQRJyBJlWVpRJEiAASQBIhAMAAhgZjA5vnTz/v85VdXVfbvv7fvefWnQPW+6q06d859Tp6r7VvfpqjZ1b7UW5uZPHnm1Vq1Ob9+2YeuWcmXYhM8Bms+PTIwjEjyMqcBHjp47dbJRrbmJwv1X0JkZTqQyOkmbrGuB7/622jUEss/MtOojlfHRkYlRXH+GZvK12So+Qx7W1yun9sR0jl6CacuhwNQ5fEgrH89nsBx2PFdaqtqY5yIOQMT03wF8BBgudUb2siPe/QYBKBYrnq8Xep/ltFoU8jHmon/O+lSasWceyDyQeSDzwMXpAfNTmPoXcS16YV0b369DUVl9kIA9RkVtLJN83Y6JiWE+e3nm8Nnz8zUyYOKrPn6QcQIeReDBy8unLhw9t7BjaqRYyN+wc/I7J+dPc64wniXoTbvbS/zTs8uONYyfj5ydffSbx6dGdk2PccVm2GFHVK4hXEJRguyujSP487CD5IsnZj72+KEXjl/AwyGhwrAmPnUrcdl2Lg+ixpYl3koOMATISqAx+AcEFME7kMIeXIwkc6ovR1DBJplCHpFhmVIrYWiu4GY5JKqrg66wJtYZwWMokhGZslBKIvJGHDwsxkMRmVxMTmbl0ZeE5A3f0NAlG0fx57KdCQTFD5+tIgDcwlMNArYLssC3nSJMCdrTKWkpXYosy2CPK67Qmt9VcddCi2CO4JXmi5AHlO3HkgGpzGDWswfWe4dZ7/av5b6zvJeqtVzzzLbMA5kH1ogHJABsxkx26GSPYmKuiPE8xr4Yo+NN0bTDq/Avh83ZY/q6Wwl79CV535C46QuksJfBXeHSI9OGwBTSuM8CkUeuBKtvf9pq8sZC/nVqgowY0FkStsmWm0WV9FbHspi7ERzoXwWkVZKFJNzOx+gkcbNYRpzECMmU8GBKnHBQJKYblmT5gN+kOmzQZ9p9IHRAWoIJxRUxGTOPN4flA8B6F6hKLV/3ozPQmeQS3QW90hiJgBSkPInUSZXWfT/VCinoZkKfZd3YQzrjMhDusw4hdaFMHH4v2pIB5PxoY/nnUgXXwHa9Vms28BY7T75Y3fFUsCYWxMJ0JfYN1VWga6GzozdXHAdp7TbCuudOnMSnc6vzC5u2bxuZHJfnJfLMJJcvj4xMbS0UK+XyyPCZ48fx/WAu0zaQLc6kTuDuXPg9wGMkPP1p1RrV+ZoscdEuj1VgbR4L0RfyCxcW8FHoVP28u6ZOy/qmiL+d1KDULQsOQTlSYACY0V/T5OZqoYe4S0ccjTUGXewMyoMUy4PNcgaUSAo4SbIRzoFn+URzIFvPSg5ESwaSeSCNB1bxjEpj3gB4VraGK6ttAO7JIDIP9OuBQf0U9ta7cpoSbJE7e1hBQ+QmnxOBd26oTI1yBu3ZuRpiqHOY1qs3u+STyb06D1bEvn7o/FVbxzeOVa7YMj5WOXlqtsaYqDwh0LFR8DRDbNAsHmnoAweusSxjns88d+ya7ROvv2xTCbfYwQbDIkOibj5rNtun52rHzs0fOTv/yql5RK9nqw2OSHSZZzwq4dhfFn+GEgwAGfmUIK5qJGugGynxi1CYYrEsGYOVru19WHuoxu/ysLjexIMBMZe1Aide1cRDE30MAVm7gZfswYbpy+INUBGNVS0oRTb0eZIa8fmAhjpoNpSBQZGFbmDD6IGeUKoOMHkJkhO2OW0bCjXIjSoKmlQlJJNlMg9kHlghD+CE9C4ag1Oa6uowOHUZUuaBzAOZB5bDA9mlbDm8uqYwc9fsvkx+B+1voT2qlRgQX79rctvU8Dwe8s/Oe7HTuFpQNtRnOOqVzR5NNvkgjLoDmicmcViO3vnPPlRGHllwgRdjdRYxI3VARkrtGkLMkJGsysYk0sV8ASl+tJDPrbmRVUFFQPGYDG9yW2JEtCSUEZKTEWyVCLiYl3sbJJi2G6kskn+8cTBFujApS2ypJFjKOxzDFuAonlbTYttjlMvSo0etgeNGQtzsCFH+lHnrGMGBuxGOwYTB0dEREKrz8wvzCxL8tmxh1BDVZZxJLhGWCuWclFDlni9UzozBSQPXIevwnbQmHL1DwhEsiz1qgcNBNgrllzkYJuIL4qkd/VuRwlZ46IkFHo8knTok3BUhypQu76BSsSdYSDPoGdyZl0dHRqfG8eXphfOzczOzGrWKYKtOEQqXaEGYtpicwUmwNh6xq24t7IXXBYKiXYqtSWDhm0GF4jBivZs3bdyxfWLjVKFYNlOB4WRck1pNhH7PHj+BqcCzZ88R2V5PLUw/xxRWAc48tAkDiz9kB5B8rjxcHt0wUR4pz5+fuXDiHH4/8CoAvmFcHq+UyhUscz0/M1e9MI+Vrmkv/jpVK9HSBTqkWim+FcIbqb+VJ58v4dNZxjwcqkpJwBbL74hhBFUboREEJBHRIvPTZzNkcJsTtioMwdENJ/w/PDY8vmVDu1I+erZ2YqZhGl3k5BogIm5n8aTLWFej1NLRj/RnnhIiZTjJAqdgQAAWPrUT88UM86uJHoofFz541ZqSD7D0pM7pcD/74lxRKuVIWW2oD9STHzxKlSLupEhoxjRRRDYZa9AUKhRwZqSHEAaiQmaKmxolBZQWIbKoD4gKIBbjP15dkIeXYpiIaDF5hd/RiISMhRG69gRKUCePdjM+M1nVTBvCmxWxR9VpcpbZHp1oBwElQguazPAKNQC3CAEAU0EuUgeWqbDPEuIPKt1RN6vMHJMhDIMz03rYWhNIBimRcRLMmbLwwUC7Uj+PFrebB2STxoiAx/JGjpZBjjYjPAbJAtoW8uWV33KEpA0baT7dGm1lWOqX++hhSSkRVo9fTwMnFGAB32NzDDYRbuyAU80K8pbfHI2YcMmOnPHc8VTDbQvt0alR/Zr1bPT4wGH6tBNiwuOQpJcP8UUy0OGrDJcSoydO4HJeqMJb1JJuYF5tQ2oNpszWC9ADpLhUwGdThitgtgXuaPQIh1cnLY9WjFTlZEkcapim8gFsuFR1cM8rfbb14YG4hulDfKVYaSbODoyG5a+NJWW4jhq+b8RnDVhvDAMWxBzJIBt7gvzsM7jJF9f5H3uuwIZ5tdjjdFGq/MjoYIThUUYaAY8UdfJTVkwgp56S5ZK1xwoE+htetSZWgdN1gcuX4OUtf32MIJBquYw7rMfAZJM88jpMJTyLxTSic0UlHLGsEvfymV7ZCU9E3IKJoUTCBlqr2eDDGHqKAdmWeI0F5ncEtotb4CCTJBCMa3P1aWziaKT5j0h0jHOI+IQmqwRFUQ/duBqcPEcS26kF/6WQCOJlaTm6CYbBOThKpcCHYRmaDUNRepMp9Soh8/CJkPg0ikM3lYHXJGG0dx6sXZ0ly0HRii4Hcg/MXtXsVd4DfqWLQ+aacxA2hJvaMkWP8cZaLikNZZTfI4XVoJhlQbkWB3mV5z6gmVRACJiicFpiOMO9OTDE4sUD+uC+FaTzEqMbjgKInZAs3RTjEOhzQqB28FkCjp5ESD7QquhGxEoq0e7t4NaieVw2iWNYFWS9MosUOTrgCJ3ClA5QDbiF7OQ36oQvxBXK+HJSIDsIxXGFfguCTk6MOHYfW9NhmU4HRWA8UK2uRzCAYR3CFcNq5DrErXRMAUk6SlM8wxrKCC1SJwvpjh42kiLvkRybSYTxRSDMHcqFuQ1EwBGkompS5RU9BBLKKIiQYg2RyoYkgkyQijUlihfk+fRRth4IDlaGAey5AYbKWyDHidYRUO6izCAZflsiR7LqUxsPRWgdp4TegIWYAQEAUapACmI1RMqEzJ3Hy6TbePEwBHcdSeAXrLADjIg8ymKxsgTgSDlt6idDMHeWclCOULEgWLMULoTjM7NAGoqJsIwaZOk4mmJF5FjUXMGF7hdq2qox/JAnHZV0rCYhdEu0v27WVUbGCRm6BbdiABeDHJ9qleJgp0RlNHZYAD0GrEhJJswsTWQqpJYEEoYc1M+4B8PPou3d4O44LUACTRufIugWvhoHi4QocwSbs0dXECSsF0lRFZKASepAuS8xhTJMZolssIEDbEjZLDPMunE1CEa1tQBHWw+CaoZCMiCX0T13UgZhSaDCSqCkBTAcBGCpgJIm6U7/KAAZhFNqqlzMM5ANu1ksGxCRM0ykaEPRMAGSmxmShUL9uAmRDEgoBJd5UGx5RI7i/G/KxVTRF5iv2fBe7XI1YMJcVpSm+8D6sHTPnAMmLn2BaXe4oWvJXExT4e4gUA3BCE53kY5SXzooJNUv0XSfVVUhB9OntDHGiWs+akikOFyDIGdTieyWYbBHo04aE9VfnAecSYM1HmjymKJYwjenW/VqDaeIb6Bq033I9oGb4SrYIzFIxd2wupWFTIRb+NvWbC7MzDUajXqtWq9um9y8qYLXOPjkRi5m+eLo5ARC7IVi6VSxcOHMOTye8a5wIcAemXSGdefCdVBGJ3w8w+svL4u8kOJtgHoV3x2fx5O59thQZaQ8OjWGx2R4M6BWq+Phmt83jJ3dNfWoTKpiWEcn65mj6pai1MkiEVOfVCZ11D0OlL808pvDkwx/dlDUj4aAV1zQabLWwKkP+DtS5CF3Qp0Fv0PIIzi5npyeUJAUKfiB/UwGUWlsDsSzVOaBzAOZBzIPXJwekPHIxVm12Fqt3K/fymmKrShHbuYP5QwfYlVj7nk3jhLzUrjwYDTKD9RyoMQAIcZMZJGNNyYYZePDulLOeal8cEAx4REsTev4xIw3cJAhh2BCo0BzUA5Cq90s5BiUhCbQZajOtBmjkJc2ip3YwwBBk9ELhSiCcgi7wZ2oEUSaSwZuukeeaFQQ2nwepoWPkMDVMveMl0WqQmGgg24SXWqdPvsgPl5KlfWjKYOqqakcRTMpvtMKK0HpYhcah6tL036UYaIuEtggAhze0kB3iwhoDWixZy7tpQQXjhYxKWEcX+SpUcqxcjcDxFJPloh+5rMtwQNwGzZthQQWn6zsPmWQ6cWhxxm/OKRB1iXDyjyQeSDzQOaBzAMRD2Q/ThGHrGZ2uRujxzeAS0W8v8h5L9gS3BCmh3MQIcHKysgag14Z+2KsLANtDO/0yAOUgV/G3/kiw7wkYpMhIAftvEMBJEoILAeTFl2iTd5bQIqcNJxEyYiwNYbi+VyxVMZHH/HGaKNe56u5ZLWbgUBWyVDUsXHgLxuOtFKG90rx2WE6q2ZJ9AE5kZfqWTpJxgmsqtuYFBl8TYZf1pH7NI8B5aDyloRVphhqLa8FC0ky3Mm/sE+E1ezESUTXTYAUzlCoI0JwJUtI8E4KLw7z65v4iBCaodnopkXtc5aomf2qh5S9fYuKBj1EoWlVlKdnXgLxlOtflNiRSkUNccVIpFbghHoav3QGo0t646Kd4MwYlOUeDq5qeC27WC7ixMQ3p5uNhnvUoFy6DznXiSMRKnCG9pNwaL2F0rEunSsdgm8v3IAHJri0NBbmz55ocDnohYXpbdtGxkcRXufliI9B8pWx0Y07tmGN/Xz+8IVzZ5q1upx8qZ2YzrBuXKbMdkhYjQgwviUm10nWAk2KRa3rjdaMfAy+NVoaHUYtcFHKyTzgZp2L3XFTqNS2q1A/eyow13HVZozvB6OT14G4RCdPGkpIXDMhEjH4oA0TMfA0TT8DzOeeg9zYYPhBdE5Kga3tFVzbU4goC3V5zDZrj15RR9LoBD3gVloHa0bIPLB0D6CjZv1r6W5cTYSsCVfT+5nuZfaA/1O6BFUpYFKwLMGANKIyCCIjR5k8yNMC7vlIBZdqxBsljYWGERpkFJHBRRouV3G+/AeOHALDWKQMCMhz1IM3Fs1zBuR0cCLlvIMxEIJFSCmGNj4+IJoIgC6YjGlCUj3FPYuxQxBU3orUEZaYbWPALJaNjDqaAkEMA5nRUygSGFFHA2U5ZRVK2BtIIBKVwV8kSKT9eFDEuKxRTGNUoR5YZ5KoDcxqEYPpyApnoZ3DYx3WX7wDJrKSW9jpdcFTG0ypUoDMukA/UxSnGmks1BSbRPCpiOU4Qm0eC1PDVtzzkJ9wXAKaXzZWRcJJPFGhlsTt1Zy4kuWjrYZOqc2qKV4+X65f5Kwx1m/bZZZnHsg8kHkg80DmgXQe8ALAZlwcksMHY7DyEIfVcgsRKmMmPFjQnBkNYxBMRN6pyJI4OGI4zWVxNPYpC+OAIhsKWS57oDCBwAyQMFAWKm2QDbdKMueVZYaiCYggT4vkIKJiHzmlkLDCIHnkYAwCwKBh+lqtVsPUNGXVcrMPk8I5tdTQ1M5YKRJRT1MmB5MztRPLhAs7nd9scrxhoKjsNTgsdxXMcxKbAjO8jI051lISBfrBoSDBHD0kM4G5YBQ9xTgxNqawSUKEjBt5O2YFKbz0rQOD9iIWU8IE4CJeTObmr60U0Qhuh+ASEZ4U2XjRoIIoN35MAeaxOFw2waI2hwBplzZoLq9l8Rb6TMaCGNKibOsp5BSpJ+MN7IniMThAj5Y6CWFxXBSExuGCgiV/8QlgdP1Gta7PO5RRxYzLVZlDiClLbY5jdGiOkphIx7p0rnQIsWbSUXxck2vV6zNnz8GZNXwSeNfOMUz8LRW1D+OqhAXeN2zbki8Vi4dKF06cqlarvL6HL4ox+L0M61XunUQeOt/U5zpyeDgj4V7XUfCef6NZm6m2G61yvTkyMYovGefyhYXCbG1uqFlteBjLlJQzB7WCW3vXrR8bFC3UrfsRV97ApCAVjyK/JqgCV8DD/JV4pn6o6SyHWekY+1Ed5u3RMj2Kw1ipclqhXg5PBZUxZR7IPLBsHliBq8+y2Z4BL5MH7IXbHpdJzbqBXbIflgywEq7C+IdqsNOE3GHgrdOhdpMDXwQo8UgFH7slB2/vQUOGP/WMDfKgmTzv0/U5ihTzLWkKCRNlGcfEoYWgLWV4V4+nAbxvF9WMVAo6DSKzvJFpJ6JSP4r5HEE2JIjCyDA0NMFMcFGmBooNwkqjUUIzaRKD1HzUwzIzqic5zcZxuDxfMrUSGdgkcWiEqhFABUksghqMJ1Wh9VNIDU0CCwPYQKVYHmNPecxCU/kEhf6yFlIz/jMiSxr/+MhKPKI8vLUhDBUjlEx/SNuhXbRlpMzaAOc2+eiKHxCWYDAdYwuJs+Y3qe1asnKNGNSHGX2wriVHZ7ZkHsg8kHkg80DmgcwDS/PAuhkCeAFgv8Z2iMy4ImMlGATL/UnAE6qhGeHqiBsiEpt0QUlE94TGnRl5cwSOqB9H6Do+loE1d3giDyU48hMusmoS72gwnAdFNzGGWUPQBDPKI4wCbATsITwOJ7PcDqCYH5th9NeqiJegvIchzFEJZyWssSh6DCrg6BEOS3cPy1Gu+ug4pKUt9CglSha6Fgo3fYyNTacbUoy7k4CP5qA1eac2VDSmiieNcfAAv7jDe1Xjc8aG9UM8LBHLAjeJ/c5Ia37iMaG67Fm5XAlfySkUmvV6s96Mus5HVJAkKJ8zIR0jSpLDNR5PkE4m+7iKkcwbX+IjaDrA8ctUOijTfCcH6fFUlRjoHorUIiYi14r+FQ3E7F4gsi5xEQG/Rq2OJx5gp+22HsboCEjU631WLYLWQzoF90BYUoAkWBpIwjFs9WZ7YXa2friOqcBbLt01Ob2xOMw3bLCBAatAT23ZVCqWEHc/d+z4wty8PF1J8GmAHa+8V7lIBUyaMrr0WRCM4oLPelmzSsjXbtXma/z0WKtVGR/G14KxHAV+xapD8whvW8aBH0UztQuy7geiZCBQAUiQ6mYdfybkN1ZfaEpklY6TWCoFUChcYcXhXHeEFS7tVSfthTEjAmNnL/kVrk6mLvNA5oGV84Be71ZOX6ZpWTygV/llgV6/oCv6q72iysJtoqqx19tsZwkSrl/Yn3k+YsHduZaAP2DAjTGofETiaDJXmKBKYTASDCAAASMKFmjgk/ZAXkZhgqk37g6IA00brpWgJjIUJ53PEPSoeSGTIHTSuJGKiCftIyrn6vLWj6FSIMhiyjSL4BJiRokBUllimE1t4x7cCPzCEtyRYd4sw6nktqpZWd5gAlbU6txaD48aSJQqU7aFxx40QcxjoTgVIKIaKGCFwUrgkVmxFAmFUaIYIfa0sSefBWHC1gzoTGOFISQQIs6387AA85AZQwYuGgxRcsNNddk2OA/YRhgcoiL1gdsH66CtzPAyD2QeyDwwCA/gMpb9OA3CkRlG5oE17AEbAI6c7BxlY0NITkfLMvYlJTq84XBXwosY7zLQi0Aj5WTTBMe7fGWT/yCPoTiDihjdM56I6KLOOtWHobz/4Lunyghm6CWNJB7VKmXotEXkzE45fUqQ1srgBVMxDJx80E89ESGrJ5A0qfiCgBqkOkS7IvjcxHD2GO+ApNCxCuBzA8AjM6TITYekeEPC/9y0sciGBuN/TvSWtmsPcdIeFDAiJn9QzpQ0G2/L5C1Y5iRUbGfrRtrGWGIOsfZ6LNKFYADjMYjHeSXhZC+cMHcoFy8aUJGix0IyKTMBSEqBODYF0X3UkB4KYopjSHFKB0vDrS1ufRflwsCQgVgeDxJQ+dp3AdN/Mec831xo6AeAYXnU9kAiMHAxqVQ4YHL6ewn0KoeROGkDvCSjU+AkiIYlJUfr5cFJs1Y7e/xkrVqr7VqY3rFteHhUL7koxxsoY9MbthWLleHhk4ePzJ87HzIyjJqg2lwEk0oNPYAKUlaET6lwuUMXwOLfuKRZOo+2Ddp8LeCCXOfG2pXRysiGsXyxUD03V1uo+vz9p6HOKqGw0R4+9I8akQjVKVLWZzawrA9QOlV+Nwr4ofWr26dysieIQwNK8NeHWT21J+jqKZcxZB7IPJB5IPPAa9gDg/whuhjduKL+WVFlMa2l+nXPMK2wIIFN93gAgRteiWhqJFbKsOPQ3Q5qeAtvo6c+kVwCiZGs0DXUqWMuAgldoRCAJLNSUMJ7fnk+oAMoJjXmydgoOLuOgbQe1EBpsOqOZhJIpwDrjaAUMvgrcVSU+rKK4PZapHt6izbgbhIEPDzCK+GihdwsgC690USxiEgVWFmU6p4JsElO5hK7WomZCkMW/nO3JwoPV4rPoUWZgaL20OVwnqiV4LKoZxkNVCs0TfVeyBcZsUU0sv3JKzDGEtbK31C2GtvqqE3WmlyyGt7JdC6zB7LmXmYHrxX4rKHXSktkdmQeyDxwEXmgv0urDQDHO6BdlpCuBGxlVM6n5rx7wHN8DFzlRoKjZUZSMTKWIgxsGTvE8FaChtjj+5oYHnOKrdgGijxz56ibcVdQtcDa4A3HLckcVT5C7CPrIXO8jimAEG4hhukb0M2B8WWGGl/ozOtRTD5hcXcqTpI3D+ZuwaNFk/CqISkMMrwzcZtk5H5Hd3wsz3sW/A9v+BwvhYQoM9/Q1mxybS0JDLNxJYgPx2GCsGQQ1WdQGN4Uf8pXeJzyjgRspEG8KUTkt8ilxoFPYX4u0pRSClzIeYQOqB4EiAYb0Hj3JQQWuEIlBYypUk46wg16ejwFUZGoVJICoy+mOIYUMW5w2ZAuvSNfLHgIarEgkIvH6aDmhsoVzkPFNQlzOtFnQyo72EOlfWX6huol0Ks80QcRs7vioDDaEwPxsCRzIXYVxLTa2TNn21hOuVrdsmvn6OSUuzzhWjI6MVYo7ixWKicPHTp/8jQvAnFXvUCnTYV1W6p/VFsMXyI7jMRvFp8PcQJwuPUVjTj4JHCzdaGKNQnwtlJlbGR0cqwAqfO52lzV+ykx6lWzb0vXdGAbU0Guq1CawsFDLQYRvw64khcxnQMvF5mnXVHrgZvczaLMXfMOaTGmdkXOCjMPZB7IPJDaA+5SlFoijnEwKHHIGW0wHsh+afr044AcNiCYPo0fADtHmxzlogIYe+JOl6+hYjiJm2eLztGQsIHij4zIBrpGgk2IlffkvA2XPaWwMUc2gwdgCehiFWjEgFFKumUApqapS0WUR+KbLBLzcFNv0HgggkFRJaKPtho0YHFYjb1KEdy75VZi7F5gWQJ9SDMLIGsSQAwD0UUdD7htYB5FQrVSUnHWV3ylHiaDyJrKijiJ6hbJcodiVSFpFSFd0eATBYcqTCnGXGW5ERBwNVh4jSraI2FotY5Fa3nrvKdZy9aupG2m76VR2QdrGriMJ/PAkj2Q9ckluzADyDywrB5Ie46m5VtWY5cd/LVRy2V3Y28F3QLAaAR+mJX3CTmu28npwLh1MRFfjJJlpMyvrXB4jOgdQ7wSAmTzYTRJIlNm0wxLwptyh2nRnMikCxJERHVUixE4zbQDcRxhP26rwIzVn2EopaKGgUQ5+dMEudwWsHvIrtRLBIwe0SYFWG8j4mCcAZY/9pigQcmA4CYZekPuYLi4kldh4ZEWte3K1mXYVw9yZF/gvRfInBleksCw3IVKVJjNzOCvLKnKMLCu4K0pBnbxWRwYIXbwHkutox5MxQMmgsfYHF2M9nKG3ZDTHAIJdQHySsKeb/EuYVuatFHcDaTPsm7sS6hmkmhIXSiTJJFIX5q0gU0EiSkgqT1UKGPR8SK6XL3eQL9lfxS6HAaxi9HcHbarQNdCh9ubqzeHA+tMhIXDuQg3CvFlrbmZmeZhfF+9vnnXzsnNG+0Zj1M+Xxkdnt66pVgslkrl08eOD/HE1zaIIDHbVZXwhzhCmRg4AZTfMVy8EAEO87scE4hiNmrzXLEC16/K6AjCwLgmcirwzAIuabHgKYj8LTJbkLKURR8HAhUCCWVS2oWfUr2447RCy8nvSaLoYhQkgnkF1L2ETSuwBIBMNPPA6ngA/T7xOro6FmVaMw9cLB6QX5Ul/bRcLJ7oux6DuCql9nxqxr6rkVJAxx+yx00xQ7CSxg20moYbXgyUCu7WQ25AjIskahvRgyL9w+27hFhNOe/I5Yu3uIXBe9tBvaHOhnKpxGXJTmW6l1e9Of/YqLZaQcfgluA6WDZ0y6XWWpsxnEfEFyJ8LoAdNDMCrEFgzv5VHCtssGIOGq7O5+UxAm/KUFP4Dc+cUAUdV0KK4XAxGHQk+GhCsZCQcR+cgBc18VQHYnhcQf9bFlY7XFne+omUsccyaIBcLVdPqg9hD8GBSWfrZGAi6j9w8nkZ/uMfLBUqzTMmWiWkdJJN6WodwjaulBVBl43RCJO6lkdE+uGNiK7h7MVZqzXs8My0i9wD2Rl1kTdwVr3MA4v2wGvp6lBEZZPGfaCPIOwrI9piuSRDWg7HENHjeJwH/pMbGxKQEKoEenXcZlwpB5OONksC2WdLweKzB+lAMEgFpTJIxyxkTGFVk70im4ScimJv/BQLlTBMjee14Dwy9Mvn5GazCdWFnBIs2dpg2W15kO+ZArKoJCNhjQKT1EZmmamtvXNC1EOWiZKbMt55MQ6CJcJ5a4V/8l4Adgiq5UoluWHi/G72CUaEGWOT/qJ9B9EU3EGhFP9wc4b4bwE3ao0qJtth/We1kDZoUlJ97JyzDAIOppIKEipfLG4fcjGsvgmaNu4GrytDIqD6BSFAxx6iLlvGqaN1LtO/Ol+UUP0jqISPE8LQghBuwMt3DrgCcGOuhvWfeQYOZFskTFexroXO6h5cPYodTJeEhbDHLqwogt/5GKjVrM7On2kdRwy4Ua9v2LIZTtcejmtGabgytXljAS8ZlUtnXj1Wr1altRKaLElfOnuctKpA6/ODBXxgxJ8zUxoHhQtXrtWsL8gFrNEenRwpjw4jAIxLXG1+oVFthMx1ahIT1EHPyCGRq9+COMv7xRgIv2cIru18soZnYHxMt+QNGB64wAX5QShIb2GgN71Mxpl5IPNA5oH0HsBVZmUva+lNe21wZt4fXDsP4idzEBiDq1FPJDWX+3yerz4jIIkMIqQYbmJdZAYacXus99f2Ltt2OR7BrhDMCAPjtBKRtOxmRIQop8xEtSFflRMxIigOh7rcQIa4xCg1XMuAJQlgxEFGWbCLt/gcGuOIYZwEVp28wmBcJxcoxmMFgUAc68mTAnlZnxkESomOKKuot7twjixipuhvgVnsYQjahFgtAunEY1BZA9yCCCo2gErwmQ9UjGf5+V/Yx8oLj+6IIhvZ2QiedxQfOsy41bKCjy+/oxhPi7BiGZ9egERG2WghNvGsPDNjU9EDZDA8wrhmd5E2WSE7u7qmH5P64V2huiWpWUemJlUho2ceyDyQeSDzQOaBqAeyn7eoR9ZmHu1kZwAjGTcQs4s6M7Jrl/rVwB4Gv5ZkRdnsHBKHmp+oIULgigSyY/DKvaQrTk4Y7i5CaiRiAABBPWgh/qIeiAIE+SCVZEVvDqoWrjArjABBaeESpyqB7Mq7Jiyy3pFFoYLWMyVqIt8HRrtbD8ldGAzVKDDvxvQmkFEVhlXkjhA3PkygrFQo0yRKwdnScRoNk2g2sRIv5gGiDHdUzTqDBmI/b62MG6zarvViYag2EHckFoQKpSz1bgmiIR0RHGRhpNpJvkhxIBpTEEMK+Jcl5TQiQbNdvk9tTk4TIQ/0A+VwUgj5vOySXNmgiB7YrDVaDXZtrxVSwHWy+Ao6S7tRukp2LXSo3bi6lTmA7gmB6B8HDYtzGBeU+vzCuebJVqOB2dYbtm0pVYalp/MRUaFcntg4XSzivZEi5gEvnJ+ViRF8dJJKYZTJmgropI1FfF8FlylecBq44MjcgiiUkZdawJpWY6GGJz64Og1PjMDckakxefI111hA/5GLVZJGS6fwEs4bC9NxTLC8gy+ZoAh64TWuU1IXP8aghQzhY04S+FhQrvwxAv2QQuBGEDRYqE0UMVWJ/ShwvIq0BACHlCUyD2QeyDyQeWAdeCC49VkHxmYmrg8PmFEEBrRchBkDQLwQh4iqpiSCasY1MkYK6sQRJcchOiYzdyccSJHqYo4uYkuSAEncVSQVi0QtsN2bqETB6FVUSMBSFUgR4WkuorD80BfGvIihmmiqNyi3hphQpyJizwi1/DfhU4RLiZhqM66AiHk4AQJeOxcvIErLSgqSKCPdUFh1KREfwMfgwn8EX0W3Z7/hU0l6RqvsvK2m0jtqMnUGGy2BRfLlZlkAGqt4M35sOGgWNrWOCYa+udF0pDTDUDNSECLZygqf28VTXfGyJlZc94orXIT7VtfG1dW+CHdlIpkHMg9kHsg8kHkg88Ca9oANACcYiWgdBqp4EbRWw5cyGbSz9wAYZmODGP7bYaw9BmAJQ5cEspVzQ2pLSH00BvXkh6W8V5EljfkmJ2qhw3MjGTXQ5KPkJD29+VwVPVZzWyCgHtlXkkD2WbqmjTwPmuwDkE7y5SXdynEZVHOfBJfKvZMeOUM4hzdlOYdc4i0aJEYhspWK3P0AETCYSFxAHAa8leGyzhHmrTK+Ho1SmUfWUalQa2lpUBXnyIAUpDqgnHQMJst6iiYgBuQIgmahLaQwYEIqVBIASSpgjBQsW9ZppGXuTOlmY4wpPgiKo9WPkehGcmgxTNGyaH6oXa6U8VYCvk1e5+dd8ZQALH1Wx+l16P1hODEHFE70KlfuHlw9isMaY3IivwQQ+BTSOIebtdr5U2cwCxhT/Ke3bamMj+bscyVcIMY2TOURAS6XTh85OnvuAl4skudIMQYFpMCqIBWUdk/h2RBe/cESbvy2LyZn9Gh81kKUNDFdXN5fKY+NlIbLI5Oj+WKumptvzNf5W5jcg/TC2b+h3ashzu3F0qPc2LRI02LEDInPxbDhaZc8IexhRcpiXHvw0Cz1pr0vHXs/vOkQM67MA5kHMg9kHljDHjC/JjG/Y2vY6PVo2iA8nBojNeMyelKHfFAgxrQ4Q1c3fjmWY06JFoKoXZA3zqGN7Cz1yCEek+E4C0kZfpLXanFYRgPMCYZOEBBcEwGWUCoEjCXkzEsIFkN0E3/lWM5BktXYRRF7W8/Irwn/spSxURzlQYurvI8Rn5Y6EB5PZZiWgLkklB9JbPLuJfFN1hxJkDEinxvAeMw+BgIrpuYLm4ooitKpTRhY5HiAhY18CsIMbhbzaDtM/+XsbUy8plc8z/BBiFRbor8y9GUUmCh0D/9EBzElJYk1sZNaYGdqvCZs6s8Irx36Exwodyor1q+TB+qrDCzzQOaBzAOZBzIPXMweSDUmWB0H9AgAy+g1h0lyCJWYyBzt9McvLt1Ryw6CVjGBbAu7FitT0j6tKPk4uEcgEpXy6gV6DIYhxZR0GtKLScoTmJScUNipqj9KB2wHoS88J81bIN50iTQyvOHjrR/z9DH2smySeJsUrvhcxFd0sBishoVZjpBMO1eqVLAeLO7FEJVBEAh3gPwmcKuBBCfp8SZUNuiQGy9rsHd7CXWwRP9MsVpmeVMcjYAenLTt5vaYAggsTtxPRyF8ptCpFSrwEbQgipPOpGQuoMZAgmrUdQtxJaNacWd/jI5u0qEytSREcpmYshgS2HP5EgLAxWJ9bgGXNZFflE0R9LQYETFnv030Kle+3lzgSGuSVW2OFtseI8V9ZcUEnqH4CZk9c65da9RrtY07t49NjOP1EJzPZMjlRyYmMCcbiwEUDr96/vS5VotLwcebH1gVpPozCdcbLG3Bj4NxNYI0ssaS9lADSxfg679cDaNVHhkemRzDhayam60xBhwDxQviIs1MsAtosGYgmEsAiYpGrOIVmr7FDld3rgOxPFvUjIG5ZnnMzVAzD2QeyDyQeSDzQOaBvjzQ8UufJJ2aMQlgMHTc6WLwY7F4I4ys3A9zTISxJ8Zw4Zis5ZWjjJg8AFMoAMHImJ8WFk5qA4sH6ARMwi9SERQgoX8ypjScOIAZ84OhHqaqEUaxqxBlDY1RXxnf2RAnAQguQ3tJIxsaAXowgVLRq7Kqk0Uwz1ruEIxeaqBHSYen5UjmQJhBV3CA4ESISVQL5vymMJ6dlsNYjqxUCkfOKEZ0GdVjDT11RoQ2iWMZ9VVN8oiDQWFMrRYSOJKcIBZmO3jgIvXQmqxWh1EdhIuqS65A7VZAxUXVJFllMg9kHsg8kHlgJT3QIwBc5DTOIXzB1YuSmmGuZ2XHT50QDFUPIoRkp7Dg+AIecHLSgINBRWU4nQDuoTgxvNmK787Kxgf3vIHw2GzSsMc9w+9gd9BW2D/aQnv0y1w6uF+MDn27ijl5V4WwbUY4fAiE0qeI4CwRY5mDMktUvSixBH3vmXOEeWfGeyGJ9eZrfG+YN0V5zMUsI+6LGcCyJDS62xDm5qFp2iXBYQgBm0ZcWpiFjs8Jg1W+v4M2R8s5ZaIlMMZPsajr5rkefDQ/TCHN1E6PklFKPLB1AUs1HeUOOIJUJ1akLB6qUywVxceOWufMRqLXvWqA45lHQFeABPIxOnrbaTD0oHt2IreZcpfXRDxVrcBMc3ypeiiHD9PKN6cDwzqlPEWehk4+rzApGfTUJPEkuocYzyJWBqbGMwUoQXmQQmk0EwAGojGpNGx6ecaM27mZmcYrh+H5TZfsnJie4sMj2XBtqIyObNqxvVTG5OzD506ebtUbMCgEHhgYpGIM6kJSRDy3wafY8AimwRdMurDHFOGa02zUZvluCi5ElfGR4YlRvshSmK/NVnGdEhFjHg+LtTRGtUMbCGZgI1IhN8er7kJVKGsVsbj4HgcNqD7mWsPZSRtKrFwSS4jeL39IeKmZvixdqrJMPvPAIj2Afpp8xi0SMxPLPLBOPZBdtle/4V671yOMbOVeUl44xKxWDjx5N4w2kSCg8QyI/qa3n0LE7a/EDO013efEuBMDKHevaotCPwBaHCnSrDf8NurBLPfpes4gDQLT5uVGa6RFY2VA4x8ixqxRQDFGW1a/dslptRwwaoAGbwms40QLBgaaovtwggjWYwbNH2M6BGsDcSyDptVwEFUFm0+1iW8Y98WtnDwPoG8soDFYOUXYugJHYkFOD6JNTaPqmE2xYgqWkWTqvowa1jH0ajTIOnbXa9f0rKO8dts+q3nmgcwDmQfWlQe6BoAxupXn8xjmJjym7fi90yiHIfOgSR0vS5YjYW+wKeWGP5XnLKgeaRo2vV+QQbkdZEfADJ+hclYS38LV5/haFhIwJByClA7gDRt1mUF9SDCaEXGDES1zeamFVcSMc1AvSQfBhKm/PXqv4NpahNjTZ2iF/LcJERXbQtaCbCxnGRolaBFzS0cSQif8xhDm+OVzmAwMkWarWZtfqFWrmE6Hf2ga7Iv5AteGFgZIYbpeqyy3owiz4HuiCA1jhy+LYmFy+dgkb8rUAE0w03uzvPYICVeviHS4asIY6cxhAcGhQ1xrmnItED1eUgvVY7jL5DviKmh4JBuFCmtMl/N0OmgYI9B6bvrkZEwPB0zMOQqwJG9vhxdltkFjhM4DN/3KmGVvv03WiJhcxwHFuaEyQoyFPL5H2+T6z+hYqLp8qMoIG11qstDccwYBBAl//dSInR4bd/a/IJmdFPqE2HQ3Lmk804JdTfPUex1ezXNau2lyTOGEbecQtQMHXNBam5s7deTVeq3auHTXhs2bzYs4wlysVDZs3VyolEvlyumjRxtVmZ8dwgllQup6ZlQUe77VxK2BiiNI2U9TUgnfO2m25vluSqvZHJkYRxg4X8RC97na+bmmfvlWemlPi9IyLKHSURUm3u06S7S8Zz5kSygTFZU3q+Bs94wsytCv46PyA89rdeLNArVrbQduTAaYeSDzQOaBzAOL9UB2vV6s5wYrN4h2SI2RmnGwdYxH0+ipltkBN4OalrtzqKEUxwDG8N0HRiG8XzGQOARgFjRyB+DkRa/LOUV+wtdLxYEu86JmoAMpxTJjf4XhnkIyqGa0O4QYko7J6A2CDLQoazekAGPyIaXkcDVSdlrtmEFCrX0OY63yck+v+AwgRXg8SxQZtZNX2wmtQJauOdaeBRQUaAPo6KZcudfIHlUQN6+GOaK7U3ECuZNRKX2yJ8Eskb42rFhsJda39YutdSYX44GsK8Q4JSNlHsg8kHngovFAtwAwfgGwSi9navKhNp4cm9GuVD7882BzPDLcYfL+zQlIMg7m0FnuEGTwbAXTOFTBOWQXJfHgNMCtQUy+2A2WsF6oVaMpeAGXkdA6WJVElQItlXsMV5GQXyJABi2gulRQwlSn04JyJ9IjgeZR12q11c+A4W1ID9HEYrVN7pLIY50gxgU7Fol2JrDp/Y9oJZNaIq0vxSJIOteB5jxstEKtWse8QEzL5B0T/rOBJBIse3IyNMx4cA6r95ZL/H4nbsAwy6zBqXiIATMqLNPyOKvP7xyis3NnWcyRB9cK4arRVK27q5hxaEIf0ArGON3WXFuIOaNdvadqKUfgIQlLiu5O6xdLEZ2BXg9G6mJulsUQr6wzaTicx4IaMYVzW2ovXKEb8E6kGIoBl9Cvprk3VD2/KUWnCbgtiYFyUsKPC0++PFJBuK4+X8W7AwJKVwdNb/UopqkFM0H/1brFKYvQFFgRbTcTXeRTBSGJGFIcoxjlBOFqtgIZWRB5/uHYjBVSUSGqSGBGvHJPPpL0rZAnIUE7J0NBCG3QqFbPnTjZqNUa1drGHduLpZJioxQn98SGDfgiMJbpPnnoyMLsnHSlZMSIVZ1ZTxRJqEBDYgo4ribtGlaaNxHRTrluFAK1Gwu1OVx4mkOjk6OwNreBq2XMzy6YaeXd5FOXecanlklgNFCLQYyRiSGF9XKVBvE2/e33lTBbQk76SUKZIcdjxlO7I7lSEe4DAaw9/eDAs0TmgcwDmQcyDwzSA9n1d5DezLAG6wHcxzLAKBvvaZM3KXQMvlxUxsIA1vFHeeLywfDcCYaVQihio6qgFtHkn2tCMDtlsCyKwUc8Vo6J0OYDhQokIw6jtLgOiYDd1p23zfZGxznYRwqIELEt4DO4dDdXO6ZQgsNZ90hDbZO6GiaTdqYaQ0mWO02pjy8QAl+dTODh1dG/prX24ZxUrKmY1rRHMuMyD2QeWIIHskvAEpyXiWYeSO2B7Ezr7qpuAWCMVDl9hwNxHXArVNilXo5JGXiTn8Nc/qO4u+EggAyeEatoeWFaBe66F3BEoV1QyAzxHbgkxFyJEDm6h6q2mBIsAg07+a1ZMQo7JuyBadUgVK1LUMxqaa0QNvMq4jQ4NJGxO1cs4kL1FSFNRQhfBuVkgp3B7YTF6jgGQvACACSyQSIbQR3TIdOFIPVm6F8TcIaYSjT1hmEIQ8gtDu+pQIZqWiJvAct9MGvF/3ZjOLeAj/7mTOwWdCgRNdixrS0EUBgPxp5xYMSAEb5h8BiBnKFiCVwwE7PxEAnmQYLBXDW61apjIVlZvsp3ADXAO3y/WT0uTS2aVTn3cRurJRUSu8ChqBI67dZEUTzVohrUv1wslZtzDxpOtCnTgPaiF5oC/Zo2zUXlbG9WseumtuoJEmAKVcTpVdmMf9DEvSADfeoQsVKw3U70EUeMJjTNRL+0yQBDUsYGn4ol0/L4zjS+Q12v1pp4+QPyBDQ6nVJfxjYK4NLXwugW26kECU3Tdvwz5SE9PE/DWyeXcFiyHtUNzgcSEkdJBIu8tprQLlcZMUk1ClREKoIQNk3qY1Q7owjQQ0pQUNNmrTFz+lwD07Crtc27dlTGxtQpgMQJPoZPAu9GELh8/OVX5s5fgDJVFbWhe14q1cmCXzVcQHj6N7CWAPpAGpM7YUhpIYTdmsOvSGVipDxcGdkwgc8LI2jNd1ki3owHSKYmGJ8skFAS4ASpBNYYcoxMDCkqCBZcUtDdsPH9sbjpI1GZdPkUytMBrRoXfbNqyjPFmQcyD2QeWO8eWP8/A+u9BdLZn7UTB8Qy2qcr9L442XXKw3KI9BpJm1FELzanLXHUEb6r0SZTZuz9FoxBCMl6GbImWOYjOuP8BGAwbhQAGhAkLZMAR4xxun1+P22FY45ONlRmzacNKJAWkWcZ5AJFDYiYESBIgcgGLylL1amNN2Bdtq6FXeSyoovSAyvRHYyOlVB1UbZRVqnMA5kHMg9kHlhZD6z2D9Zq61+qt7sFgBFr41g1GBrIcNZ/fOnVnkkZ1oKfEzD1+S+GyVYcUIiUcuyLEbAMgb3AaY9qAIOAJhop4KSIaSjTsTaDTG151Ew7RVunrcYaRgA49xTBQcVGMrCBSQFXBRjAq3bloDZ82pAHq9jFgFlr5erc+wUmLYqMZus00SyeDEH40qECZBjD4qZBEnGyWKfmoYD29RFCYeswRKpWqJ/FA2obq+hb7nsZKnmXKwE/NjcVG7toBsuEXQ4MxBQKaFZ+itN+ZShUddFESi4HFqlUg52S7QdRTgpmihsiwrl8qZTPc51oTgLm5LxmmXtGgrHKNOYKNxuy5q82EnAJzZamHqmWpkmlQ7HpUTQjx14F5SSjLnkCmNrJicIGIGuwWZiAQkR6SKCpTgLU5KOjpCkBjZy0GJk92aUkVYXWDEq1pqyAqOAqyNJqxpJkrSIB+yjKP2zsKkoQA1kR+sf1BChN1f/UOGAwIaapluAsFZXEVl8xARJ7me95Y6IYY3fs1PlcqVxCv2ky8Ij1w/XtBqkIRagsqIg2NOKR7LOsj5ilGi1ozDHQbVMGnzWS/6SLog5pK8HyrhuLpeo4ip2ms4h1UBOx0tOo8+atSclqkts/MEzOBTSyXn/EQeF2CFgl5WtDutFsILiLkxRTgTdfsnNswxTbEa2JOuXzw6MjG3duwzLwJ145PHP6bGelIuChrK8pVMAMdOg1hOs/L24GsGBSCS41jcbCzAIuMfjHGPDUKL5ivnCeMWDtOHEnMESTHdzVeNGcbrc0nKh0NJ/CBvlJQ8NhkCEnTwqRRbEsAZy1suLJLdLFqnRCnvPSCXTRmBVlHujpAXS4rKP19FLGsK484F1F15Xdr1FjB9RcqWFSM65Ke2hQs/dFmUPz6OZITtxRIqxKd2xaGjAD3N42BDy8LYnZwuSAPcTK4TqLtFiBePMhiLGwIfGkjGAaA6zBEV4Hrvc6LosKBpYnyEagumcNsg/lubGbrIh4jovclXUTXeEyqWPgwpXT3lVn18KIjf3wRkTXdna1Krbyelde49pu+cy6zAOZBzIPZB7IPLBsHugaADYDVoyn9bfZ+4X2ksY23gowUIN/YEdoRTYUkoQbBASYMCDWKcUI0wo2WHoMio1iYgASg2mqEHCqYamCE1DuQtoSsOHQGzKGZL2nYGSjJVgCFFFCRTElZFRM7IFu/shl1bEqFAeD1AJ80CIhKKum4+jQXcKysF78J4/KEY9glWgR8JGK2aDc35SHRNZYZ8wKC7I4miStFQvVHz5AJA0BGmCjvzSNhmC6LK2SDAqZgKDuqRs5qtL/cAbisJfvvmT71s07t27Ztn3L9q1bJibGz58/f/TYqRMnT544cerY8RPHT5xCmAd2I1qLyCyDMWZjVYhvN9Fld4zFcwM3V4uWDeFfDQMXGACWJOgy17MocnQs14fGf0aF6wj91ZHk14M1IAxAOF0rq/isbbAxDUiYhf9Qt3Xrxjfsu2HL5o3TGzZMb5jcMDWBktmZ2ZmZ2ZOnTn/rWy9+89svnj13LgCQlKmXNDcIMIoNTq38wwYGVogz7+kEcXHPNiNfqo0q5D/0MmRL3awQezC7MJoCCcbGpLdIcyYAQ5gm84THgbEvUhSd1cA/1gIcONGkUignPLA7N6l7QDbggAOuNBCT0CAKiIEkgBmAZwciJuEJHoEKQFU2Xx4uo380FrD+c5OQ+A841cgcugMuMQZGfYJSaQ6pTJdaUFeHeiILPivAdxxUp/KB4hvIRrB5l4g6zBUAWGosfmDXBSdffzH+QL3EMQooFUSSJwI+fC6nGg2iPQGiVW6OUdV+MVXzA/EQ50Udb97Q+dQY28yxOoCAs3FhZvYUgqj1BuYBT26axgRt+Imqc/nK6Mj09u18SaRQOHfyDM5cnN2+FTFpaOrOAlNhb4Gdnb5Irn4MuCVJdWydYC5C2LP4tjnhyqPDIxNjuEQsXJirzddy6FDd7bGY5mhRI+S+s6F6KWgfdoSsCGXSGyLqxAx0C7Qbr7TppZedU72Bfdgo5Prwk1jZgbHstmcKMg9kHsg8cNF6wFyCvRHMRVvVrGKD8sAa/x3m/RXHGuHxRqrKd45IOikKFEsPiEknlNAj5vn3D6msppokBV41U9ff3cl4wkEybF5AR8oVLW50H8KKZsSXToGURioUeDtcGhaK4obyEYhQ2bJktFapWnmw+qE44j6LD/KKu8HqDh8TDAwzaS4Vayomh75CTjBqVkibq12WyDyQeSDzQOaBzAOZB1bBA90CwBqPCD1JhoUJwxeQtQT8iDIg0qBhIT5il9AJAwa4xeDcTaAweIAB3r/65Z+dmpyI1Bvf5vxn7/u1aq0mdNVvtOIhsgUnrP4DjkQj+GTfhA4EfOOGyV/7pX/WOY48dPjIB/7978EQPLNHBCJaIwuLI59Zc2PcBKarERgjScCDWhkZ0nmgQ+3v/e4Hv/u7HgjXpf3+X//tl145HCaanKCJMmqRelETKyVbrBCJ/+79v9jpNMcdGsLZDI7AnJubf/XoiWMnjh89evLVo8e+/eJ3alV1sjgJBoklxq0whlI0zO5xJEX3olEqwZQkcrmpsfHvecv9b33LGzdt3OBMik1Uq9WvfO3Zx770xNe+9gxCscJjzA2B0nQUStTPWIYsLUFvYtQLYSTEj+X2KletSTBYor9YIRpr/SJ8hFmEiArj48H4sihgWq0S401NrA6NOcH8cDCCw4gFowBVFTtid1C1beuWB+69/e473rDnqsu7388B65lnv/nQxz/51DPPaa2ArH9qPDTRsXwFgU2jitGX0MlkB4J0azFlZKTyy+/7KQTR1TCAv/DCK7/+W78ba2cXIg2QJmZHYzs6xVDKSB7PSmx0NrK5ynD5n/zkD1966U4lg/vUyTO/9M8/IHFS1kfsZ+heO4lAUhz/GKrjDjpzYyOVX/mln5qcwAK5iiT71tCF2ZlffN8HavUauYBnSjUDTBoJZAtOFmUCLi4mLUY822jdHTu3vO///MdU623w0vPPt+Z1SgAAQABJREFUv/wbv/l7hpYfQhwR32pFX8Cyw+wzONdEgvXAf+zsGyGsCLsUz3nwQwsjzSDmcsVS4Xu/98E3vemAp2poYaH6W7/5ey+/csQRpQ6QM3WhCslJXUjVJjdsyEKSbV7Yc/Vlv/CzP+ZweiaCOksq4gQRd0qG5hdqn/rUox956C9RdekJal+Mko0bN/zz9/3kxKTpchGOQKkrkEZ3uc5EvVb/0uNf++AffswvgoPhkOrc/JmjxzAtG+fl1ObNaCPtYIAsjwxPb9sia1Hkz506g5M2VQwYOmJMVBqvCPwp4pVATj/21L428ad1Ko6oA6YSV+dr4tKhylhleHKU76HkZqtz6Nu8OvVWYAF7c3bnCJq0P0TlZnUcfn8ATswlIG9epggwXeFSEwAPGQu8RWmBkK2nHj1UXoQHsXmQg4DLMDIPZB54bXngNXAJ0cvva6tZL9barkJbroLKPltP46x9CpFdxnTyfmUwIOmjunqv4euNu3tVfMPVKeKL++nwwL8Pq3yQLuk4U7uw+0VLEPVh/DT8Eq1i1yGib0JU0Mdd3fTatWx1/bIGtK9Q06yQmjXg0MyE/jww+J4xeMT+atQf9/qytr+6ZdyZB5I8kPX7JM9cTPSuAWDTBSQagkon9AiQpYQ7sOrG4A3/k4YRM+58+JwV390FARNVEW5CYii3ZdP09HRMpHD/bTd/5nOfJws20Q8QgwxYiV8xlCKl2DE4AwWICBGZcRvkDt6zHxE7IoS3ubk5Cdsy7EMr1Rbh8Spi1Tldqo66GDpmffCH+nBmM6uH6O+2rZvDqobedP+B3//DD0WIJgsQ+ZOaQR0nwbJqVGSVCavcNxoh6Np7zZXxgCmoV15xmXJBwYmTpz780J//3WcfZbgFlmCTOCwzMIMtZ+yR8JgYpozKLOYrGgKtcPXbv+fBN7/pwNjIiBK77yuVyp233bz/ln1PPP31P/hPH0JA2vFbeCEgI+1sM8oF1wcE8huHSUQfWbgpV8N/Rujls8FcMRrxYAkGY1+Ubwg3281cs5XHYq25RqNVH0JMUJpbHEKt6nm07sjo8Pe//Xv+/lu/q1Ipq+bue0R/brpx7w3X73nuuW9/5OOf/NpTzyq/q5q0M9RxUiaUsi9BHTowpsohw3/ow6DSCth+9VWXKwL26LRnz5x32TQJ0csd/CQdDFrUBJGmEnmTATFP0aj+hfM2Tk/5vXpyYhwBdUTPpY8gAE/b6TT+MUFBOd8BCUIBX9oGZG5oM2dLT0VM3VCdvO3W133uscdZUd1EPYwkGGpqkA04WDQKy5rY8DKa9Z67b9++LXqmw0unT5tJ2CKVx/rP6ASArFfx9Vd8/BV9nG8RQJleCFSdUvQqIsFBsOE8x/MRwhRLxQcfvHfr1k1qr+4Ru7z34J0f/OBDAVFMZJY10lrR+dh4Nkl/NcExw0PeQq5dKBV2bI/WhWWD2PBuzY03XfunD30SvU4+fg5zAlw2gjQEdnhZYs+eK4KyJadqtdpkx7s+opDuqFcXzh4/2ahyae7p7VtKlWF4iKW5odLw8NTWLTyV8/lzJ0436zW+VxDZvFpESqJZXhTQJ9Eu5uIvZ1mUK5IXeBFyBSBZK5hE10EMeK6KN4rQdYfHR0YmRhirRgx4tsrov2V2AEykNzskFpdZAlRUNJqPU5eCBhh0dXxogVdROjxOJokexztwGiziKR23iV003BQLaxxjKhpwAqhUEhlT5oHMA5kHLm4P+KOPi7umWe3690D8L3P/OOtfAoOH8FClP9fEDHF7AURFxIKlO7KX2k4N/Ut0YgyQEvXLAKEDqFWo8yqoDOobl1pzBsUZedHRAq8HqYuukq+tCmUN+dpq76y2mQcyD2QeSOeBbgFgBjzwfFSCFQji8BGmt0V+V5Dl3bwwM8iBWKZEtswtPmNCoGLiHmFaEkwJ43nQQ0P3H7hLA8CixajCQYNMEr2AiiB6wYgAYn2wEQbI10yh8P577w6BugyqhRiAfHo2gNBSBiNYE2xe8EnTUkF9kkt1yslKYDrZvhuv9+NkTtW999zxh3/yUUw2dRQmtEKiC0l6mMHoQClTVgAKJKCmeUe2xYs9onG3btn8nh9+13e/5f4PfugTTz75NJAEnTv8hwXGA2xHrG8KG51VrLXbEOy89sor3v8rPz0+NuaIKROYjXfLvhuu+dWf+Y1///tPfu3ZUPWMIYqkJSG9sSqMiTSVIuhxmN+rYmh0hFKHCuyC/FdAdFK6QglxwUKhVeH7ALpStPeBWISKb79l34/90Pfv3LY1VmMXIjxz/fV73rf36q8/9+3f+u0/OHnyNIyCWTSSTU6Pcmc9q3ZiHjvflcAm0Ynede5igSsyOgDGsGPQ2YTB+IcnOx1D23BUlzsEl0ApWESG1stZyfWUpZ8ol871l5OdWKZRHIJNIMp44MDtDADTCbqZI/LmZMfq3XolQbmcCXANI7c82VEPTO0u3ntgv4WMPwINLVweLqHF6wtVzPsGBWCEhCJu9IteWFAVGsG5v0jxksV+lMvDnlIxd+ONeyPRXxSjInfd/YY//dDD0TMdMOpP4rk/E3xFHhXRjVxyzVHllrwsR1RPliuGKqkplJhmZ9QbOa3+suhWUNPIRhVpuGrX6xdOn+Yq7Y3Gxp3bMfdX/YXLeqlcZgwYL23k82eOnWw16tJ0ghVASdbtQGdVwhurycUAcAnAIvD4LDh/47pu0tkNh1EVp5E0/KoNNevzcOksLB/GtPfxEeAjXF29sOA1tdUXh2PL+jyGLOtRox7Qg7OKfQvnDE4hXHnz6b62DJGlmd+jdtHi+NrGWOFbhbSe1VG0xLwnHYOdKJYVZB7IPLAmPbAap/Fq6FyTzs+MWvMeQF9duW1Fla1ctZI0rXh1V1xhUs3XG31dOG41jRyY7oEBdXaxZYTuVLYqlIu/hqvi1kzpmvRA1tt7NUvmoV4eumjLL46mvzhqsRKdrFsAuISlMvE41sYInDkx3lUSwwn8L6FZRg3l8S8peAAq4VlJIFILmjxZj4ESNTdef+3mTRvxOVU8SQeP4ioaYRmpY/BHQfQZPkO/1M61bPF4ds9VV1yya4ezOZzgpFBwc/3n6KbajFJqFEVNKjOegDqa3UIkkfO+mG3n3nTfPVEkySMmesdttzzy6BdNaUKFFRwhKGz0Hh8xU0J1yeNj5hlO8J4lG8wlHBCcuPLyy37mn/zo+3/9/3nCxoBpA9uOHlY/c7IgTVOjpCntg3o05iU7t//Kz/3EIqK/znAsbvxT/8cP/fq/+49PPPkMiayr1N9mrDbm+9oQoQQU2xEVwELTeUT+EOxjSJIvITAShM+BIhiMSbaYHcxDsV1uV1hv9A9EjN947/73vPsH2GEWuzEMvPean/npH/uVX/utC+dnCKOelHMLThbXSuCDE3ClVPoYjGRzO08szgAVBxabEP+JJxlMeCZNNeDApJiUqo9ZKO0ngNU+A2QFxMw/UIDH+fjUHrPBq9ffsAerhZ86fYbFzjae4jQXezaY/CkGwTENF7g4g1s5TP+9+urLd+3cHoPuk7i8db5Q5uzt+kKN8V7ZGMDWGDY7CeKy3HOzsgw2M8OGgU5EkQ/eGxdszg1NTU7eeuu+xx79MuvvbeoNn4a0EnHgWgLSHCrBnNOtpGXY82UO9m+tplRPrpnOyMX39Z7WBrULUipEo1rN2bNnjyMG3GxuvmRnWdcSEEZ83ntq86Z8sYgz9NSRo/js7uIchTripRO0AL4Ijrc9utobtbCnRgjgpYTGQm0OIfZ6c3RyrDw2jGssIqDVmXnUiuo6ULva0LXQQOlhMbghGc24TtBVc49CaxHaVK5ouKKYLu8Eo3lXsKIJ3wqtOU3XlDEEBJ8r1rwEBnWDkxCuEDav73oWOqYskXkg80DmgXgP6MUovmwtUb0rn5dcSxZmtmQeyDywCh7o83rQJ/uyVmgt2bKsFc3ArQf6a/Le3L05rGZz7FsgIp9lMw9kHsg8kHkg80DmgYvBAwMdESQGgPGckg+u8XzS85mf9shIokSiN6SSC081NZIiARU+QdVHwIgGIRzEaArjb+SO3VB23z13fvThv3ClVCCzihGi0YCQIisDtLX4CWAA85kziA8cvMvJdiYQDQKfjQOZasmBtVDLrf1gM9XhFC9WBLEnTNJkFFH05cbHR++47eZOLUp5430HHvmcDQAnMZHOuBP+NCkHqKOboFH2MA3pZK+JzCJ25XL5R979Az/3i//q7NlzYoXWl1E4ONlNFlSTYAHjQ7QDqdyW6elf/bmf2LxpOqIXst955ZXPPvZVLDR95uw5uHr71k3bt2659NIdb9h3U7lcivCPj47++I+8870/+y/PnjPL9qLuVMO/fjb6TPh1T7eySUHCHuuzcq6nBNk5aRVUVAMbV4jG/yIW+MV04Bxmeub5yeA3H7zzXe/4H9gCHdv8fPWLX3nyuW++eAbVO38BC1/v3LFl545tV12x+5qrr4iwA+2Kyy997z/+oX/xr3+7Vq+yVNpadjROjOSscqZjtEXwUmRZN91cysNlBJDKjV4JQ5hArcdlEZKOQGARbRYk2TMrvRSTOnMtrgCNXiRMcTClYvGee25/+M/+KiikbZwaiwZiG2mWYVoqAzK9xKsIY8tYy/vgvXcEsvGpNvyPtgUzymsLNXYCyNMoQEksVNRRGzfRhbW4GRGHEjnL8SXXfGFqA6K8r4tVgoocPHjHY499ubOUKDyF2ZUlzTOI6u1eDEFZXD/rhFsihXU22tUJxiz1rWl9nhNL1BMjrnW2yjsZxNWtuQsXTrx8CLO0t+6+tDI2qmy86haLE9NTRZympcLxl49gxnAnQk9KmytJ44cC87mlpWMEOqzktT5oqhgJjwRhdM1GtYrpxfDz6MRoaaRClYXc3Lk5WXjc4150ssPG9EhGVOpkpBwpPUosZwxODElFEwtikS3Rbwc/bcvX+HEdmrzGPZqZl3lglTyAKxjO52yLeGBxF/YISJZdtx4YXPsPDmndOvM1bvh67wF929+3wKA6yKop7lKBtWjTxWOuV5PA0SYVEDyuiya5ArVbARUXTXNkFck8kHkg80DmgagHVuBXJDEA7GzRZ5YJpliyPVJKAgw4gMZIgxy0HPFLPBRHMESiQgwuOi2difsO3PkRBoAlHqNP6+WJPZKIDwmylUcW4QqWmgcypVLxnjtv78RUCpgQ6iO/Ajk+4NB8+XMq7KRABrFYAjkN+6oN2LfuO3BHqRSNaDpUzGbG93GPHT/hKJEEQRVaVdtiBLkQhuEsbBONQehL8pZBjy8dOvIL/+ID8IU4ydiPIlSTNeWGb4vmJsZHd23fdunO7Tdcv/f1r7vexwA85lv/6A/9L//6//5t1pt+YOsg4aK/MJKAEv2lHYj9Dg2NVIZ//r0/eumunT5as9l85NHHP/xn/+3ZbzyvdM6xxSRbibxg+dVtWza//W1vuf/eO4crlUCQcygn3vmP/sd/+zt/YInQkG5zjLBS/yxFfMsdKyU1kv6jkUW/Bzb5/gCiQo1GExOBc/lypXzPnbf+4D98W8QCYBw7ceq/fPTPP/3ZL56/MMvYPLo1o0qcSsw4Yyl/43VXv/1t333zvhtMuwkEmgGfBP7J9/yvH/i3v4spjsYwPYjDaTLAgCjW0t1M2ppE7OiSFUwpD1I+O/HpD27UTHUSnESScVVPozIJZ9KOQOwpROQf/gFADi2NnbInJUlz8eR77rntEyYATEYG6AVSAKUfAkF1AEYsZEsyQpkbGanceectiehagAtOoVgeKcGyxnwV/RPBXKpwNss5LjabKqCIxdDF5uWK9Xi/BNN/777r1qQzHfNKMZsZy6ofP3GSZgqAOdKj8uILe4rgCjqVGF8xz1q22nil4B3v+ik1RnGAhc7D2DWvBESGKZfv3vXL7/sJ0mSr1+tfevyp//cPPiynGnnkv9mL+xhQx5d/56s1FNKfKimg4Efvtfh6thLDbViZ+dlnvvWB3/x9pSg+r0wqTqt4QVDzxEwnahwBVy4s4NUHp9Zj8JLoMgjOz8/Mnjh0BOfi9st2j0yNqxDw0Y4jU5Nb4es8YsCHGlIXT7p3Epbm+S1wrAxPd4QFAp8YeqQ8zJ2UgxA7TaNRvTCH68nI5Hh5rJzLjaPuiAG3m4gnL3YL7NEU2yHlFoj6AvFUnyNFOgYEJP1LIZ7AgropsEskMK4cOaai8crR/lHeMGXt1Cm+Ahk180DmgYF5ABeDPi7V3dUOEqu7plSlHAJkW+aBgXpAfzxT96zob+1AbVljYKtR19XQKW5P3QNWppHWmDkDqvSqtW4vxand3QtoCY4aNHTqOlmb+xawgv0fUdcV1NZhX4KrDdlalsDVgbYKhDVs2ip4I1OZeSDzwGA9kF1hBuvP5UFbT63UOwCsPkKd7C8wCF4NvSQLItkQK8QQBcB/zrnLYSqWD9nRFNu3bb1uz9XPfuNbFBNkkVUESZIo+sx0QEKo/v233jxup451ALMmeGqBKapYBdSViiB31kiCA95G6pTR+YBFCN6gFBGL73rgXoeDxNPPfuOG6/a44B8Sb7z/nv/ypx/3eSJpqSLA1XwppHcQp8BkQYm3SmCHhnc8cMFUueMnTkESNsEehtu4EQSIDGtiqeNc7kQ+/52XDiOM9Ik//ytEx3/wf/4HU1MTzgzMf33dDdfdeMOeJ59+TqCIxjCZYKlZag+DnWIEFmO9bs8VN163x4EggZjNf//bR37jd/4zpvy6+sCkAv1EqzD38uTpU3/0pw9/7ktP/NMffzeCvk4cAbb9t7/+koe3Hzryaqi7OY7OhDaI2ueXOop4lo3FWb/GOTKvlJFFJyHRL5iIPsFqt/L56a2b3/WOtzoGTSB2+OnHvvxHH3747PkZ8IyMj1Gg2URsDRP+IDqUR59qP/X0N5/9+vPX773qZ977v09OIPBjNlTw9tv2/cP/6a1//KFPgAT1jAWpFWonG10oEgY2YikPQW2CVLyoLfccQEaQWWJL42U9aohR7fek2XEQykPAU9rdkwsl0Zl27Ni255orv/HNF2gAW8r86SxdE6x1lsl3xBUCc3pvu3Uf5o6HEGMyXLoZawgDvl7V9Z8ZpaaF7BFSce6pX6W1WyENIhYMZzwHF6xC4YH77nTwaPHnvvn8dXuvdqckYsMHD+7/yEeDdQvYnAKpPDLDmyewRK+pXlRgJxqwLvFQu1lvHDt2SmxjKU5+XAHQP7HpeYcE4p8bvH5FkPZQdaF6/PhJ8ECp9iNRRBDt6w2cAtLBjU1Exx/tCeHz6qjxYMqard2u1monT5xCFqWyyVHEIcB3U8KqrS+V2TjWiHY9MHqaa9fm5s+8ehQmb9l9ycTGKS67IOFytMLoxNjm3ZcgCnzi5cPVuXkqsjZ1BWYhL6YSTMdp26yzbUVEm8KT7sNeT8omaREuJI16dVa6VW68PFoemZoAff78fLsua0GntpmogT3EtnpSHQNRnz2e6nOkSMeAxJBSAK1dFvhaq4QuYjrLYox1MIsRzmQyD2QeWIMewJWhv2vxYOqwSmoD4+VHLcgOJsXLrPznzm50rx3PWFp2XJse8NttyRamBkvNuGSTMoCleaBLS7GIFxXDovcvIC1hxLU0W2Olu1Qglj8jLt4D68/XqSxOxeS81h+3E1tyYrX0pjJ8TRuXqgYZU+aBzAOZBzIPxHogu8DHumVZiN0CwHji6Z6L2xE5jPCax0uKdUHepuyRcgilMErAqJAEPDjvsOt2/4G7nn3uWyJKrTBHYkII5El8xMNWGLl/QPhg6E0H47/Ia7UxVkEQxgQtiqRYX+pgxARpLQZNH0MIL0NHRh1E8LHhqy+/fPclFplHXbkaE38d8YF77/rQRx62K047MhNUa0zQAyBpBezjzQ8tNZEfOA3/GODp2BAQos2Kx2nWBhQ4pCLuRPdLffP5Rh0zdD+PlZl/9X3v5exguyF92aWXMABsNtrBPzCIMZzipwEU7HP5SqWEWbxWmkeEVD7/xa/89u/9ETi51Kq0FgDUYkKBzsg/P7Z79NiJ//AfP/hTP/7uinyZVXEwH3T/7bcc+sQnfdiYtEGkYWZzCUvAUWimAAcYgGaVlkUNWQx7gMTorwTVkIY7kBmulH/kB98R+apxvd740Mf+/BN/+bcQgwRmmZfKfJWBgV90JH5PFK826DLlmP/X/PrXv/X+/+t3fv7n3zM2EkQoIfXgG+95+C/++zn9GLBn7eKTQRX7xqAfsAX+5Mxa65i0aEa/8zfyCH8RR3odmjxopxhMNPqBA7cjmKpllJLG4TrN6MpBHzRmgg1U7CB4/8G4L/IqkOxhCD7wXCwXi+USWr22UNdoqFYce5wf2OMf98BlwFrwpW8oEsm5/DXXXL579y6HXavXH/74Xw1939D1112jRASkD9y7/6GP/SUDrY6PVsspIGcuM1LkGJDQPznmmjjP0UehXTi0T0I/Tnz8yZsKmKyOFzsCBS6lFwdtTN27IqmoyzGhlgg+doLPPej4hxntIWZkrHbS9SJIFeQWAVs7U6Zc3C9mQ91xItXmF84cPYb2wsrJk5umMXUXHQLqEM8fHR/LXbIL15jjrxxZmJlB4/Gc7LrBncIhH4DHJVFOVYCJm62kMoVItqivoyLwgtOozkGSxpXGyqND43BY9cICZmyzfXvZbHSGbZR+ksqaxHpQdSqERKZ46HgqQDoLoL+T2ElRA5KMTaInms1qJymJp8u1gXqkg8XzJEJaO6QB0xuboMWiZcceHoD/0ju7B1ZWnHlgEB7I+mTIi7zE4aqI8fD2zdOXbtu0ecPE9k0btmycnBofHR+p4Jcdi47MLiycPT938uyFo6fOHj159pVjJ0+cvoB32LLTO+TLiy/Tzw/ga+xK349r1ljHQEs565GolEuXbduyY8v0lo049zdu3jA+iZd5h0u4A5utVmdmF87OzL1y9OSrJ88eOnry8MnT9Xoz5Xh5WertTE+L3rcAgBcjk9aeZL7V0bouxmir5JrktlrekjVfXRi4Khf81dK7vM2doWceyDyQeWCQHljzPyHdK7u+ze/b+m4B4AKmbSJiB3/hTl0eV9sBqlK7O1JLzZhfQiocveNJPcDkr+vEQJG+a/+tv/uf/qRarVKCoTsj7g+TJQBBblP19tCm6el9N12n6pP2Gi1AnCVg0KQYqhYyUkhUBm80GitDj2D4QYn20JsfOBiADA2dOn3mqaee27p5kx8Anp7ecMvrb3r8K0/6nJI2/pE0dSkDdcBbsqwqTJXYjz6A5oxe5XF78IGBVkoEGCCMHuGgAWFxs0bjKAINMvv5+Re+8+lHPn+/96VkBIAR31KXgAvRN0Jhr0aJIONDYg/2WMz52muudGYggem/n/rMY+DXQFQrz2nWbsBGOHJDEt/xzGPi8tef+9Yf/cnH/7d3vcOBFAuF296w76EuAWCtvQAZKT/tgDQRtKaG+tmisqi1dCTxkon+olIMcdHwcqmILzrfevNNPlij3vizv/ibhx76JGsBGyQExyiZrGudx7rPlRKqx3CjzAXWycTfeuGFf/Prv/uz7/2xirfYNeamv/mN9374472C3L762HRQ8SAVyxhLDMmwVqaPxzL3JgIhmPJt2Nl7eKmQMykZAo2+f//N//kPH6rVa8LM1kF4jgfTZygsLa/NL9lcbuuWjTfduDcZmCWAKODzv5UiWra+UOekf625BcdRZrqTV65Q1BSoUfQ2gs2FN94ffFYcUngY+eSTz27dttkFgHFSbNq08XX7rv/qV582cjgAjT2GWsGAg4KzbpKii2iM0Yl6I4U/BqJpCYQkLstF1NlG6HMFmRasKiJ7VgFMlkocm+48Elq4ueebEDhI5Df+RRNlJ4zwY8eUHCQhjS3ZLjoplGaD09BvGAM+dryFafWt1uSmjVhgHV2DKvIFzL/PX7oTBp8+fGTm/AUwSG0SsdVcWT0a5zpe1YDPzRXTyKjVS7fdR0Ace6iB2cxQMTzULlVKWNGacfyZuVqtwfdFjPs6zAYIinwoskTzHWIBIZ41nhpI9U4lIqAgVBnkpWMzNt/xOkFiTXyIGAf0tq8vjsTKEIXqLYPp56yjJaVVpLWQMROSEFeA5a9cWgMzvgF7YGxkZN/eK2646tJY3PmF2tPPv/TEcy/Elg6KiE62ZcPkfbfvmxof6cREvz5+5txjTz536uz5ztKMkt4DvCKk5x4Y57Kp5cWJ/5dp49WvjTF26cpLt996/RVvuO5KJKbHR4cxfk7eEAyema8uLNQRA/7C089/5dnnnz90nF+UWA3XJ5uZlay0B5axp650VdLoW/HqDloh8EaHh6+/6pLbrr/ypj2XXbZ988apMdwAJlW+VsfXklozcwsvHD7+lWdf+MrXX/jGdw7rV2ySRJaLPmhXLJedfeOuWsUGpnhgQH37bpkFVqhiK6QmwVmjwyNvvvv1ePkj9se8Wqs//HdfnJM76ASAwZCvu3L3zXuvLJfir0XfeunVLz39TRgzGGUZSuaBzAPr3gO4cMZetNZ9xbIKvEY8wABwUi9GmA6Pbhmb4E27RChSjxTcacHoBs8SQ1AAkPhomHGR0PaVJ5664fpr3ZTQkZHhO2+/5VOPPAZ+BpF07p59PiFRFcZWFEWeyzL5wL13+hNbz547/+rRY9dda2bpOX0Eox00jiayjrQKZP4JjXSxWCIqwurkmWhXKuX7D4TmIH7mc1+A9KNf+PIP/eA/8j8X+qb7D8QFgK0CVSPgotBMRYVxEnOVKBBryvBPyARkEK1BqLVNTmywGdZynrWHqWSWyh8OmM/6N5/6TCQAfNmlMsFRJMmpCQWkXkaA9ABdcPJGLM3qbZgB/K3nX6TB1khZt5VuFlE+/JbqIApTaLUatYXq57/w5R/8gbdjKqfCoA47tm+BeNh4KdR6q3eEwJp62rsktS5oVq7SLNVit4Ex4jL0cvljrwEZAeDvfvNBHw0TOp9BrPqPPyoOQffgxD74mzz8GikjjCXEwyXJjwBjkjNi35gT3G698NIrj3zuS296IJiSXiwU77rzDQMIAFO95w5mV2PzWoHNETQJfQ0DcZpHWhP95Kmnv4HFk3H60OLcECZb33bbvs9+9ksqguCcvH8QqZ9Ai9eRgssPHrjdnenoZGfPnD9+8uS1e64iZrC10TaYrA3MWrWK6DzbX4BNsBlp9lDjSenggbBJtXN4pn/PXW9wBXjX4dHHHm806l/84hPvfOfb3ZleLBUOHrzzKxIAhpHGGQz+SOzXagGOU0Td6C7cgV3CvuiHUn+LwBCa3JcwOiuXgM73QABoMI1SZ2tSAjWGWUDkXi8sgi84YkxUEmbEgqOBta4S5YpK9Z03TSHew5VqYf7s8RNoIrQgpgjha868PMNR+fzw6NjmS3bwm76Hjlw4cx4zhRMMtCbgTC9KB8Ip3cT/FkBYI6vR8i3hCKiIj1pDWCN+YW6eNZgcKeMB2OQoL9YX5mrVGpdriPA7Y5jQTISjh3kOIMQXTw2x9MhEEZCHYdhHCwwO2wyXQFwNWd1oNUUspmIJYD1sW2Sx2p8s7JVrbZWVp0E6O70KylniieEU8zH8dLJBLEnP2R0nK10mD2AI8bo9l7/nHW+Oxcfz67/5/FNPf/sl/IjEMgyEWCmVboIN/+DNeMLeCYiI2lef+84z3345CwB3Ome5KDhvvcvBkrUMGG7J9iQB2PGWlOPX7/XXXvbgnftuvu7yrdNTGDUnifl0hIg2jGP5jKHtm6du3nv5zNw9Tz//yl89+sQXnvr2ufOzA/WqrzZLp/fAgH6UBgST3u6Mc2U8gJHgxsnxAzdf/5Z79u3ZvXNijLP8e6qWeExhuFzCCgGv33P533/wjmdeOPzXjz7x2Sefm51b6Cm+2gxZb15cC1y8flsfNVtRK0cqxbc9cPt1V+zEE7TO7lKtNQ4dP/X5J7+OBQBQukyWYYzytvtv/96Db8ClptMGUH73of/vieeezwLAsc7JiJkHMg9kHsg8sO48kDwD2EYAOKkRv7oIT/S/IR7AOVZhUQ14ELLj13x2bv6Lj3/1wF1BSPWBg3f97WceBS+YRUTDN5QEqobxDL7V8uB9d/uWfuZzn7/ist0+BWmu3NvCeAIwshNTYCoDC1pd1YdSfUxLb0ABddAM2sLUwbv2j46EJlj8HabADg3hhbUvf/WpO26/hWyy3XLzTdMbps6cPWcJOBLJZYMaOhJUSqVUMXPGBMdhEijimqaOGaiSVvhAjaNLFV49ehxecCE0hEK2b98GRNpkK+gZGFaKNZCLxYnx4AO38MmZs+fPn59h8BMz9OTpNgZ0RDOGwX7GW2QC8FC92cYD0Pm5+W+/8J29e6526AgGY8L06TNnHIXiQR2ETNAem7BwZ+N8bDTCuJYVu2iTzLTmHvHcQu6y3buuD3/YuFqt/eEffRRhDE7nY9UEB0s/I9/EQ9x8s1Bv4hlVIQ+fDLXL+RJCwVxzGCJomseffMYPAEPfzu3bJsfHz5y7QCAxUQ597lATRhC0pfuUHQg7vSlAYoW2ktijVBZJTzDnlNMJw8+fv/Dlr3ztrjtvVSIa/d4Dtz/yyBcIiWJtJtkrg4L7VYWr7zt4h8NEX/rco49f2TnpChPOS6VCuYhv6zaqwfrP7AY0H9rkaIGoQs4zHFlGW4YKxcLdd9/qn+mNRuORzz6O0pkLM088+Sw+RUw+9p/Cza+/YcOGyXPhmVVoKF5BZY6xPTelmtSmdJajt9Ao2TSNvLhUDnKe450XEg0X6W4TZpdLTrAXhzYIUlYOUMJeGyo3GZ9o0jDDcg8g+htXKTitUa2dPXaSIdtmc3rbFsTz2Xrwfn6oMja2aecOXMRy+VcvnDoDDtt6HRWQExyva6BuWAafrwLA9liNHaLdCA7BJTq5YWyzWZ2r4noLnZWRSmUCvxp0IT5KzYpEN1A6iVEmPw9uwMXIxJB8udTpKI7mo9QQnO0iPJp0XHmItqIZMQq7rrUIW9QHa1gwqX0cV0o7lmCAU5UlltsDaKXEhqqUi5fv2nL17l3PvfDyMtmB683E6PC+ay6Pjf4uk9LXLCxaOu7ytmb9EfN7s2y2mhEU8DFg23vFzrfed9vBW66bnox5KSGlDQwGT4zecdPVN1596dPffuXjf/vFLz3zPF6qWFdNkLKu64gtc/8KNFbib8qy6B6ctpHh8p37rv2+B27fd+3uYe+TT32ZjWAwwsAHb9n7hr1XfPUb3/noX3/+y88+v7BQk7cL+0JaGeb18rPAe6mV37rqXCMXk642drisP+4O8TjCGvFDnGkrRcNo+Y7XXfPVrz9fq88lPJbo15QYr166YwsW7MEsjkQstu4ytHCivqwg80DmgcwDmQcyDyyjBxDM6rnJ72XMj2Z3QfxYcm4THsdD1PzZZ/MSWQkeDfhAn2K4N9huun7v5k3TZrIuIfHwgj/DiqTxLyqxEtdde/WundttjscIICiUxfuoggQsPJIHpphr0OUAipSQn/NWZRoT7jU0Xmg0/r0HD/q6XvzOKy+9cpj2tYcQePaL8Hbb/QddZFq0STGtUPU+dzTNkY/W0dW0k4XhJS9On8iperFic60xv+C9RdseqtVqLGQF7F6TdDptppvkwISyCQN28OrIcIU5+EaaBL7CAsv0mMxapA8LQ5j/itgoTG1ybad2o9XAZFCLodK5TRs3+JRAkSoN6w1x+hljsbiXNnMSudRACxiihq3arGImDS+XCw++8YAPg8jiZx/90osvvQKirQ3qilC2mTXJOW6YUINPwi7UqnPz8zMz8+dnqrML9RpWG+a87CPHTxw68qqPiTDh3j1XEcD0I3Fmh0sDkdgqs4G7N3IAEE110RVlTcgTQTyJcu2c6lA0LR2lXYCyOp8+gsIA6me+6IiInWPq/6bN02wmAeYOGWl7ASOmKOIRAfbr9l65awffV9ANgJ8BYNhR5KyUimUM63OtehMfXlVA9gP+UQen2lopNiv/5HwXbWxpeXb54APB+s8I47344qFDrxyBqXVMBf7c49YKHvFt7APhVQGIL8F6qQHbDH/iI4XXpOjjt7NZKJs1S/hhF3FkzWAiBGyWPfYYYMQWi0fjS7pRnYnSKuSUtz66ifQoExcl8+Sajdq5k6eOvvjSqSPHmg20o2yQyrXLIyMbd2zffvnuya0bc7jEuC1Ud1GAz4/zHg9LL2sAOKiHE+ovoSoEu7sgO1yrWVuozZ+drc1Xce4PT4wMT4wVsfSlNqWC2D7fHS22VG0xRQYtlrFPYrR20XwquJBxqSS6M+klpzvPoEp5ugnW0irRW3rJ3XFQNc5w+vEAf6kim/7OxIPgZ3/rxslb9l4RX7wYaqBdv5OCgfGmDZP7X7dnMWCZzPJ5oPc1YPl0rxhy0Bv5a8ZR1tCmqYm3v2n/z737+77nwC1Lif66OuicYISB/+m73vrut92/c8v0a8K1rv5rKwHfD+gPV650f1gq57X3x5urdfIni7/gvcd2+7Jd297z/W/56Xd+7203Xrno6K/f38dHK/tvvPoXfvj73v19D2zdPCW3crgvwl/azrMinDJq1LFjuv06adnB9EAOqQf153eOVUqn/fXpr8or3p/NZXyVnJig9uAtN2zcMIFbZj61lT85fwfXf3JDN11z2a6t07FTkJ1RojsY2zj6Wk6k7ZZJdViqfCfu4BE7dWSUzAOZBzIPZB7o6YHkGcBWNAiPWEr3o/5CY+Siz8BwcEECX5C/pvxAbHT72jPPnTp1Gp/S1ALEOR649+4//uif8YeXv/3myRqG+vz9J7rumMD2XfcHa+0i+/yLL738ymEpCe0wksA6tEa91JDQgo6QEFRpgBgyHLBpNAt73H2RTauWu/SSHTeFp4pisjLAxKz24199anZ2bmxs1Cl+4313f+zhv3BZ1sdleiTAyBqr4hheWgVyPCSroDLmwAySE1MTY6OBeaj2yZOngcN4hNTRYyc80fltWxFvt6v1xoWZGX8SMCp77z37P/3ZL0hEo51nMI/hNLEdGnNYqxWTZDHMYgCm1gAevq2LL/4+9oUvl+17wYiuHTp8VO0N9qI0yPaZUsvFQ+ooaVNpUNu4XGUXG6LTN++7wYdHZPHTn2EsnxMvBQJRdpkEDE+hclzIHPj0FXzTQqAR30JG/Rr1ar6OypZKiA1/8MN/9vrX3YCas2u1WogNV9vN4ZGRWqPehh8a+MQpdYrfmAhtULq06kfRQvlFZdQktmxgm7pCOr/BBJeWwz+RDeH/p5/5xqnTZ12wH8tmHrhn/0c//t/gIvtRXiNP34qD3QFzet94Xygi+/zzLx86dCSiBUKYd5IvFrEcN5bbxbrd7AlkYi9GhlmhIIXWR7Oa/oBShIEleo2Y4u7Ldl6/N5ikjncCHvnsF3CJQMgbn7L+6hPPzs7NuVMJs5kPHtz/5//1r6nHVVzqQIrdlIBydRHIHguts4x6PpKgtgmfx+v4UiYCYAqg9tpktESKuAg1/ydv4jEtZtxXei3FkyW6lXTT5Mnhk8CNxuzps8ewEnSjseXSXbiSsJji7eLw8NS2Lbi+FHKF08eOs1GDzaT1wPWi0VPraHA55QK2PlO+hhSibGW0YKtVm+dcJagvjyEAPAKnz5+fbSwgpL0Ye2KsiCGlsK+TJYqDfJTUKbSylJQ9jv5eWcOStMGMlDYnIWT0dB5YKU/zJ6T/bXpi/Pabrvmvn/7SzOxc/9Ihidjr2Njo8A1X7d69fXOINcssmwf66G59sC6bucsIHD0dcH5cecm27/97d79p/02Yld5dM16kbDQxWMNPfROLMf7/7L0HcF1Xeib4ABA550REEoFgzjmTiq1ud0vuHKrHdo/t2hpPze5secO4dra2Zjyzrhnv2GN7HNrdasttSd1qSa0sijlnMIEBJBIBAkTOGW+////vPffc8B4eAiV1G4fgvSf86fwnvvufEPxiYJCCGTgnPflrT2/Ly0x7+Z1jt+taeDISnMlC6vxqwFnis6Q+EzIzgZ2lOAtos9aAGhPR9rHx93dfOoCt/2iqwQnKdb9j4/jx7IeJNzg8dgPjhvtvPbczNyv1R28drXvYiuOBMM3j5v8EplizqXCzwQmuol+n1MDaCZzimf8ZgnvS+GceaajQ/vrUdMLfYYOVYlpywpryktb27kkcl8WOJ92EMqv27uSFC+me2roqTravhJxto5ezLiEMGXMB8FdGA86q8isj+IKgCxqYtQZQ65/AHGrW4iwgPjkNBDMARy6CTYSsWtoH/4CSAAbVJhCkUZ1gajCB6O1Rycg+dvTkmRe/9LzitH/39p+8/hbN7nkBGMZ8OpVa4UplJUl90VGRu7ZtUojwHDlm209sJSFTk84L2CA82X4lDyDLDm+YeUCdd+axQvhTPaCes2//hU3r6MmzBjqdMjoBu+aBfdZ20pzsrBVVlTdu3SZNheg4d3hQjsXQqDKuKJDARJKoss/wIGgBk34kAh4EsOeytLiI44wHVN/R2a2BYWrDxiATCEYzaN4wU0z5sYeuo6NbNwDj8ubvffuloeGR8xeuEu8wWMgkr0QVRR8RHgbzGPa/Qvl0zSvna2xsvL7hocnE/qac6LmwpwYOMZ6ogU19EANGRVEOpxnZZNsX6lM47fmkK4HTyaUqwqgNj9u7au7UihRApQoMULaaUe64Mpp6tnZvQjuwceN7Fu0MHh6pvnLjxvWa8PBFvghoflFYRDjyH50QGzERFTE+AXswbpPFNy9si6ZSJPosAp4SFHGVWLPzCLXZ4epYIpsS0kiiWIkzhOVXEPGxH/fkyfNf+uJTQkBOgX79jfdJTKrSogNq7RYHpom2iKUG27dZ56tDdcdPnDPA7C8cxI1Nljhod3yEzn8mqmY1oMau+LDwQEWNoD+uGAxId0I/pW3/BQyOBD9x6pJIiEo8OjJy4Xz1nj1bhTNWBeTlZi9bVlZz655dllBCZmZ1WMSFclKDjqL7haSIq8ez30hEuyaDNz6ihEPf1OuL+u3wZuPnWPrlw0C0BAKKM1qGHSNoSHgHBbElYkHJ1ORQT18bX9+bWbCYts9ypYPAEVGRSenp2BqOQ56xS9g/NUEpRi0iD+ULC1AiFuENOlwZKH7GbqZiawxQ4cJ8k7ABU9Wa8tN9wIm0BGfYP4gft0gN0XkDeseGSNIE8yDiEWVCB35D+cZQERhmIWVBA7+aGqChYw4Oq5LyM9OrlhScv2Y7/iR0ksQ+sBBJCXFrK0vxGT10gguQv9Ia4Oo4pzo59+y76yOmUVVLF3/3+d071lQEsuaOYP7f3H71Tv3thpbWzp6BwWGYgjABwyK/2KjojOSEkoLsssLckvysnLRkTyIwFe9cVxkZEfHjd45dr20ALs8K5p6hBQoLGvicaOBTb9qzZcgDIyFjufPBbWu+/dyuJQVZgay5A0OjN+834Tb6B81tXb1o+iM4UQkNeVFkRGJ8bHFuZmVxPq4Mz8tK9aQAM/C+DSsSYmP+6rUP7zS0YGk1TbBn/kPkc1LGn7oYXMazLehPXdpPn+HMVBMSdEhAn35OPzOOqrsIIgFOgd62uuLIhevDo6MOMG7vjrgZBytLCzDBwJx8xphAoE9ItHlAw10oY00ZC94FDSxoYEEDT0ID03W006U/CZl+xWgGMwBjVNOHtQA5oxHcoWgNCyQokWIIzkYRmA5EZuHHoc26ATg3J2t5Zfm1m8aXMiIlc3yeOwhp5hi2Y8v6+DjrRl6Y1I6f9jALsXHHYM0C0Nd4dogkociZopEKyDSCt6EPmEYQh81mT9t3G1+9fquruxc2Ts4FPY6dOqMbgBFzYO/O6zdvKwBvj8jE5l5wYoFIGuLLQTcWDFsQGb9+xKal5GfZSWySXkrBeNEhuhXlpTop/HpqbHoIOLKUkMEb2yQFkdUBCWj7Lx1Eyx/2aQfwuUvVJcUFFpEwX3pqyv/2P//eidMXfvjya7jwWBU4KQXWFxwCjd+FEWFjE1O4k9VCdPhYA1acI2glBPURS56fAV0o6MWKJNEJlyv5YRQPDy8vK2E048EbVWsUHkhSjlAkhEt64gpjYbCeKY0ZhpHJfAqbgqdgCp4g6zCMZmG0BxEH1SKIC4dhE46KpJ2LE4siJ+hmaiIOY/UEXzcMftx8zAxYjEL1KdUpT6iYIcKJDgSY82fhIb+kB/mzok0fmueJE5YBGMY5HN5eUVF6s+a+yi+RgApI3/RfHL4Mbtm4Jl67e3t4eOTM6UsmYesN9UZCvWHhfuP8Z15zYG7/BZxYhJm29ClURqj5VO/ZgIXaHh0Ttc807iISVeLa9Rpcdx0h8mCpB64fPnVRGYABA2M2gqEYgEGDS+ZJFQ+EEQbksTuDL2ocDL9I8vvQIOFFX0fVFkp3OZznBjjKN8tNeoKXazsXEqVM4zyoToNhSxYbcP9Ae8ND7BXKKlocFRcry1TAGzbghLQU6bPkpGicQW9ln8RFeyMh0fkAnQvZRn6awByFF+pkWp8cH0YrH8SVxjAAiw14pM83NjKOLpaVG1AQbxG8YwMSCZgAOrYynBVdQaIRlAYibrxY8QK6s6Jmk9VNxB1jQ1gILGhg3jVAdXpuDjOArPSktRUl567dsTW4EMgS76ACYG0frMsbli8JTgx0pI1yLx4cdiF1eg1An6EWZQBQLlliRB4ai004jFwc43xY1cA73Qn/xMIsiEht44ElDt/9wu7tq8s9Dbft3X3HLtV8eLq6pq55cGg44HB8BjU0LDczZWNV2cGtq9ZUFMfFRNnY+HywAe9YV4FVXT98c+JOfbNM5hwwv95B0b50Taq+BFTp/OjCo8Tnh/B0VD4zxtMJ9s88XfUDaLAHtga0/mKFR11L2zvHLx+/eKu5vQvLpF16oxI+fbUGXWBSQjxswM/vXL9tTXmi9nlHUGAD3rR86cRXJv/81ffrHj6moZFQ1YcHF+HPa8RClTZLZuaamDmGyevz/P50c/XpcoPeVV9BZTAd9zWVJcV5WTdqh7GnwlFmxpA3q6EOuOC8vqo0KT5WDZoO+ipIs+UATujIV6MAIDOLdnD6jKd3M5P9cw3tUOznWtYF4RY0sKCBz7EGfg06k2AGYEvz3hmlWO8UxsRwCKsAAMiegOHZPogh3nNARXxza9vtu7WV5UuVADjYufrmbZ0XEWOCPI0wSD+tbbdF+sXL1QMDgx4TAzJtYn+m2DFJDBaGfjrAx8ZUM4qYwCBE4tMXbPz5yXKH57ZN61KSk5SE8Bw6dgr4ZPMDDiiG+W/W3O3o7Mowj7MGzJZN6xLi4wcGB3VE3a/ySLKAD+RhamIWCCNrjQIx8CA/rXw1DcAiv6JJ2Rfdk1jio5PT1q9b9czBPQoMHuzIPHr8LIHDcS6wGZD4Ul5IEhIGDzGBhvmxqfKjI6e/8sWnoyKxD89y2OC7Z8eWjetWXbp64+Lla5eqb/T19oMEFthFRMH8S9qDQRTyMg4Yas6ZOS0pFK8iBjpCij0iuUlAEkQxpBv+o0SYpsvsBmBoFjuADVKMDw6sAMThTehCziRO5ODogf+iN4rApccEiP8TbPjGXa8AhT2d/lClYJmKptNpaRUiShOHQk9M+minIz5qAc3BhChO42aOMQ1BZ7IUn4pFvg0pRSdKD6QKL2FQaVtaWu/ee1BeZixEwObwvbu2XK+pJeVqWWZSTIZaF10jfXCfsd0WtGHJu3zlJtpUbIzjgEEo1YeDgifGx8dGJ7AnG1IYf6DP1l9qNuSnw5zxD2XCf8QLToply8bVyUmJEoMnNmsfPXEetXeKLMVoo9i2PVlTc6+zs1vtHUdGNm5c9XJ8HA6BV4iBPSKUmU6Smf5Zv0FEnJEVM2h7ExDyjl9UEdS0Dcex1I85HC1P4DZrFCgpjBuP+bGFenvqKQM4F8EAcNNFk8STQwMD/ofNaB5ZBXkxSQmWDTgyMiGVbwXz+7taH+PaZyol5VC+WH6CDhONUatgKj2gB8LPl/zEg86fGB9FH0hEY5JgA5Z1S0O4JBjrRYxORJMmGPNgaRqJIF6hMF90NEZcjfxohloZaMlz9SqqyuNJce4Z8yS7EPnPTgPSYANkmxO5roXSuSTExawsL16clfGwrT1Ir6nz4t4CtPU4y2/K5k+Mi19VWZKZapudWnAuHxBDFMCFOk2Ep6TB2+o0FIMmEztPliYWEi3utoAJwSOaFXjyPpQp7gnJTE0uys3Iy0rPz0rLTEvC58iIsLDRiYmBwZG+weG2zp7G1s6GlnZ4RjGiPXmpZsSB6o8TgSrj0sK8rz+zzdP6Ozw6dvTirX987wSMtfRJl6Z1zrKjGDWb8PsfPe5+6/H5j89Ur60q/epTWzdWLXEYlfGjZvPKpY87e/sGhlo7ujEx5xmKU7Jpw561iIWZFvVTBYCcOPIqNyOtMDc9Jy0lKz05JTEOW/9jIheNjE0MDI909w20dvQ+au+qa25v6+rBPFmr/fMiqlZopLU5OaIVmgvQcENDDgDFXasrbXYVyEXGHeGuY+jW6cNCQDdn/QakPD8JMjZJBiDrnvXLv/nsDs+9v929gz957/g7Ry929vbLmIUJOYRwFAGUQdTCwnBLwsnLNaeu3tm4ouzF/Zu3ri7Dll9daNiAsUGwtbP7x28fb+/sMSo5SBrFF0SrBhlmr5Mkv600CGKmbsY4bjFYAzPlS/BuUkLFTnB6zYTOOzSOodMLCZKYqh+uJoat4MzIEN+OShgi1uzBQuxhAk76Zs9ZYZIOqa0oJxEq+EQ80l2EThozorXLSu81tGC1PbC4iDWREcVSe8Q7eRi5M3seX3JC/L5NK2NdS8qceGAKVKkfzNksOksMmgjNtvKBcFFuVkFuZnZ6yuKs9PSUhJSEeHxZHRwdHR0Z7eobetiOqxH76h89rnvYhnvH3OLNS4wqe+UJhaylglCg5wwTQLYQpQgFLACHgJLbaAJZRrSA4AsJCxr4fGtgpg3g852bBekCaiA0A7ATnapHqFXEHBPNsVnNZWQItpEGTSH9ybFTugF417aN/+2vX8ZXAzW8osfFRwMecQ1JsjPT16xYppM7jPOfA0kJAw7dAawYkjAUwJOdgQg2PM5jXCfHHxUAAd+zB3bpvIZHRk+dvUg0iALbBnnGcOL0uS+/8KyCjIyM3L1zy7sffKJi3B4RmTLIVhlkElMemH1JFkjgtszABgbTDMHT93ZzE7BITgoDkiE9PDiHeVH4qhXL/9Xv/wvsU1TcYcTCVabtHZ2IEUZkiSRwMonRdkDEks7pQRlkq3NzS+t/+tO/+cN//YNIuY+TUtmF+eg+4O2b8AfKtQ8ab9XcvVv7oKH50dDIKJ2MPE7TOJuTbNuiZhJg8UQ+QpNS4KcRIvr4Ty9So8DjbXg4AUdAp1rnPwMSGW9vJ53oDhj0bYm+ekETipQBwvSQLApjbXIKgTICCQVb2hRKjX68UDUGMJ1ci/uCF9GW1ajw8OhIlDtVUboPbQppBvVQXswoFMBpYEAnICmPBI4yco/KQxoCPsdSjXE5xMGYevzEecsAHLFo65Z1f/X3r46O0F0vTIvQUEigABJSj3NyMlYur1D0iMjxcyqoewAfHhkxgY4Dl8ew8ZLosFB4Ua1WIhIa1wviQX6K8PsjoyIO7NtOfnF+X//g0LnzVyg/Bh2Cxc+SM2cufeELB0w4X2xs7LbtGz7+6LiKCeCxa8YeCoAyP9GSBaKFqhjuFxswVCItgs3lTka0aIaVgwdKlwzgtFEJjpQGP2vNiUXh+c4XGtDwwOBUc4tvajKjID8uOQlFjSKFAOGRkYmpqVTMPl932+Px0XGy+ZJsWGRBrUz6SOorJaskX1AXLGNBEVWilX3lo859YmxspI96CtoHnAAbMMlJlwSjrgZUpSI6H1pV4lhUJUqeoQjBmB50FMUQtazgOV8hcw5S6TSKC94FDcxVA9Kl6FRQ6yUStdWYIenJQf1YCq/Jq8YAAEAASURBVJebkVpekg8DMIjIqBMEg0cqNatQgNTw7IKFJScmbKhags/iCmhaTygCTEtEB8ASqPKC3C/s3hgbbW3WxFzmQXPr24fPDfH4rsPP3Z+ekvTMtrW4bnYupDAmjI6N4SzSzt5BWM6aWtub27u5PwqJKgoj1H4L1SUcu1pTNy5fun11Je7ITE2Md1g0FUvMl6G6kdHxu42PTl+9c6r6TtOjdmMBqwIiT6jMbUhzC9jrntCiuJyM1C/v37x3w3J3pppaO376wel3T17q69eXxzmHEGpQPIgrAdFGhkZHT12pqXnw8Mv7N724fwsuAFap8MAytGdjVcOjjl8ev4RypDnKDHWCVrausnTXuioYUhXlmw8enrh0C/YqFfPZetC4inIyN68q27xiaWl+VkpSPDZAe4pEvx4mJ4dHxu41PjoBK1r1XRy1iyWlc64oVmFh7QLuea0qycfMylMGz0jg848gLISbxBngA8Oj/f3DvYOD3f1odz0dXb1Y/TBnIT05e0aGvbBnQ1VpfqT2ixh91PHLN2/ea4R4njhzicTOeDSN1KQERaThUfsHJ6909PSpmF8VD7dRqz5AbOTuW8/vLC/KcZ/bfLr67t+8cehmbSPu+g2aQdWvmJQnp85dq7ld1/S9L+z5jf2b0Fvq6BjsntqyBleAf3Lu+tDIiJHEP9BCmX1ic+G+zavQmdAhZexwOMGbh8+3daHzD737F9RZPlEZnt6+tiQ3U7WjodGxn398prGVpgczIrpmWcnONVXJCXS5jO5A8L3jF2ubWmnNDTmTrPnWgWfkL87P3r9pVXYGFOhstSiRq3ceoAvSCc6ZIRHDcPDtL+wuzM7A1V2K+ODw6PsnL99rapnEIWozdFvXVO5YswwHDs8Qb5bgEPUn7xzt7O4LXr6LszOe3bUhMzXRrdtZMrajQYy3j12of4haMWON2SmFGnL3GNNiolC2rix/+8j5wSGcAi0Ko8+wjvGdKE+38Isn0hbDFWXFWalJehWy0gL5uPpy78IfPjQwSOZqAVqyywtKRbnZm1Ys3bNxRUledk5GMo4hdEEZEaNjE72DQw+aH1+4du/U1Vt3Gx7hC2Eg4FnEQ5ivP7NraRHuaw8og4Ms8ovvb4Mj40NDw+09/X39g4+7e+pb2vGVzDF5cyDOOvj87s3rq5bglCMXBS4VK9bqE6w48jnA7Ik+38O2zr//xSfYM+JMCBB+dufGTSvKdHnOXrv30akLslIhANJC9IIGFjSwoIHPXgOzmetM04OqTDGcDId4Wt+uyKxo0jDfBhKCPAk5debib3/vG7hTVuLjYmN3bt340dFTCKJfN4ZYAPMnAunpD+7ZHq6NnT09vZevXneQV6LBAxMCoZNPBgWMZeJo5BJEDDIyxzAGEyMPYZnpaRvWrtSpnThzAaZNbOHE+A90PlcVSP5jJ20GYKDs37MjuAGYJOKJDL3pyFlsZOQwuHtNL4gdWbMIi/yQnaU3JMc0GYiwfvjCUlMSt2/asHv3looy5/GA2Cr987feZRQSW7ZswTCJ3/ST2EYppkqSgmiDmvAa808eP3URX7L+8A9+Rzcn65rB75mKshL8Sb66enrv3L1/8cr1q1eu9/SaP3dZYB1rBn4SmsUSHCGlETS9pBzOgcDR1E1Q6ck+RCTwlZwGBBUA7gB2GoAFnOy/oEHUTQ6EJoTkJcqiWHKcIl4gwMQD4nQTMqsSX7sw85tcND4VNeGLjo6MWoR9IVFRUUDCXvWYaGc7ZbZ4WK1KKNtkMaJm9dLz5CTgTKOw5A7ZYIlIt/QBjybjpHeXkzj8ED137sp3vvWVaPlMHOZLSkzYumnNkePnBYPoGLgGIXyj2bdrs2rpIN7R1VNdfcvFgSMIPYzO+52c4FYBYsSZVU4+koylE7FNdRo8UbGzszPWrraWlYDQmbOXh0bGqaWj2WFhBv/ewCbj06dtBmA0BzS0oAZgu1pILO9MzCw2NCIEZfQTpA50WLABc5HRWhM4XlJicUZ2Nm5Y9e4vf2hFzcTX3d37H/+fP6+va5oJ0jSwKMTRgcGOZlz95U8vyEtMTUYnhzyhKGEDTsK5C1zJYAOeGON9wOE4cx3WX9r+i4ZHqapyBWIVmjIDYVvxoEN1ykWObMCjI32QOSwGn5wT+KOz34f1CtgHTOtCHDhCwBlr8ZmBzyaLLTBbIsHwptV0MGRb2rxk3kbx8xOYbTF8fnLwaysJjWLUhG2OIk3HXg7iQaO7mWC+YUC6Xtu0amlRWjJ9vMa35sXZaQc2rzp+8QbOowcpa6wzUdSbumonQWLujPP5sWlgaWHOspLFChdTjLbOvrrmx9tWl6tItye4AG744DG4wXHn+qqXDmzR7dCQ5E59K7ZxXLp5Pzj6zFP9MVGLVpYVPrV11cxxPTAgKkb59q6+s9fvHr9062Zt0+DIiKv8PRCDRJmFiHdYfk7G09tWQ1rYHqb93AY7Cv5g5Nu0fMm6ymLsfz18/sabRy40tLbLGGcydVUHM+FJvPXKr+hLZGx09K71y3atrXRbf2vqHv7dm0dOXLqJA4QUVgCPkR0eO0j3imNXb+9P3z/Z0d337ed3L1mcpaNj4ztY1zY9unK7DvE8QZ9ZueWkp+zdWIWt2EKWPouH+c9fv+sYinWmn5of3xnLC/O+uGcj7jxOT05wG9gckqBq4Y9qzoql65aVfuO5Hccu1vzy2IX7D9toCep8OHyaxwm9z25fM60w03LjVQ44A2UC1tCTV24fv3wLawVUoU+LPmuAotzM53auXVtR5MgCDOstj7seYTf5fLt4rFTYAKO5VXWPXrh19OJN9xBjcv5Um7Z7XDHFcL7dpZOekvjSgc2e1t8PTl39q9c/anj02MSiTGlDqJO4CsvsESNkT9/AX77+IXbFfeOZ7enJiQoAHoyqX9q98Xbdw3uNrXpTBa8gA6tQwNR79/ply0rylAH42t3Gj89e83Vx+sz6D6DMprDwox+Nev2yElUJsX3/k/PXGtoee4zzIneAZ2piwr7NVQXZGY50nLzdPzTU2t2DswGsJAg74wxa2OJD3/LlAxvRczoSwPF2Q3P1vXr+WuJIDBQMVXsVJYu/tHtDcX6mbhmFkQy/Zh++0d4/MTLTHx2ZKUnP7VydFO80nAcSdI7x7d39vzh8FidWYLbo5Qw9xMXHPLVlpSObXvCzjOsbGD5ZXdPQDPRQNT9LToxmzZMlCKZeXUD13Qb8Al6+ZHGUubdkdUXx8qWFZ6pvjY0b+mJxvVp30PpM3EwA+PdvWo4VVPxT28jWoXPXt6+p0FcuSgJ/ZSWeakICP3cvFCcwZowVpHh7SCBBqDQ/58v7t+xeX4UfAkHsvgKPJ4barKgkmKvXlhd/7dntZ67eee2j07fvN+J0O11+BT8Lz7KS/Gd3rgu0nmxagmKixmqPWw+aLtfUX665V9v4iL60z58rzEn/0p4NqlbMH2GD0okrNS9HhI9POzk1GWOlI8adKG3VCCYteo9kAi68FzSwoIEFDXy+NOA0LOnSYXRUYyV9tMDvYGOK4DWg6ZguP3DN2RhwiQwNpF5O4geHhs6cv4yThBUIjnf+WAzANNaxACQOURMUx/nPR0+ewxp5A1JRMT1kL4UzH3hTZtkoYPw4QViTGLDMEoD0xpHUygRFdHy+j46cAjVQJfMv7KawAAMwzNfQ8LCh8WFRofU9rrioYOmSktr7dYLoerJMho7oJk7agItPEMgJM+eLwWxI+XnZf/of/0+JMnTBAREfcmZlpCEeprWoAOvEYf39r//tbxsaYJ4hfRIv8sEkadjjyQbMRQYRiIXIiBj/1Lh/6uiJc0D6g9/9dmKCtaLZJqIZQCXAJcHbNq/HH6Z3dfWNl69cP3z0TNvjdhNkJm8S1hLGC9MU1JDYBcIrAADE+cUrLME++4eQHbwr2oXJmkIsK8yWGqjO2YAY0Yzhz8VYsTrpnwzHft/JifHo0cjJ6Cj8JoxeFImPf1Ex2B1oc7TmFcsdUDMkiygz8digZhUwCAbDBYj+B1CFREZE2oxJ6HhATApLXaQ4y1GDmwrr6xu4eKl6+7aNkgBD4/49W2EAFhRZ5qfooMLBALx/r3X+s9y/i49ZXhyo1UxNwDiLjdSkKNCh2ovVDLRggqov/VdFwQVn8qIECLN391a9pWO14+FjZ5FGDAHPK0SAAkN+Q0NzU1NzQUG+ZARLSnE9dklpYd2DRivP5AO43bki7Mkhh0BnWlLoozQoBseDjOt01jzhh03SIhZEeNDS1zmGLBYBzhoxKBcScXRouLP5EVUAv48uAKYOGPL7wxdFJmWkc9niLOj2qQmcnBlGx9Bj3zktCAi6ctYj60EFcScqCoZHhV2gU/6J0dFhPrguOiEuGjZgwNJ9wLzS2QVOEYGJeYJ/1pFUTDLeftaSzJK/0re0kFlSMUeMQOiKSyCAhfjPSgPuztAWg+GAhpppCrB3YOhKzYPc9FQxACMv+KAD+x9Oyr1dR2MEd1w0YDocDVxO2jb+gFdhnJW3qrxEsUBS78DwhZv3R3AGhtvZO3kSgEdsN+BMY9KTErevqdStv6CAz+vZ6UnrKksu3rzvkc+Z8iB4Fpm1Qxpyamk2FAUHoibERifkZxbkpMG4dab63qsfncLGU4wcwYlCBHfWVOkgiY2jVS89tW1ZcZ7bPhqcOFJhHsjLTH3p4Jaq0sWvfXz21NUa75KdltAcAFR2HDQkHnWqasni/ZtW4tZeBwDu+v2bn39y7NJNc/wNRMmBZwXRzKBgsMCdwTgOGneCfvu5XbhOW0FAP6vKCresLq9rbkOLAySjqPRfPY/Sal5W6jPb1z23fS3qpLIShZ4fWILzMlJ/8+AW7HV95/jFj85ew/qGOSoHsrELXYpgkJCQVsHF+TJSElaXFx3csupnH585chHXuwwrtPlr4oqkb/nSgvzMVLdKYTV/5/il1s4e/Ay0oJ+YD3UVf79CDkXvkBYxuzes2LyyDBZuR9L7J6/Cdtv4CL/06beX6QyfFoMUK5nBVIdK8WPjYy+/fSQlMf6Lu9c7bHUoxx1rK7EFradvSK/YkMrzF6gpQ6A32LEkDnECgc8h3uDgZoQY+ZsDcYWK4XhtecnHZ6529Qywftz8FOwMPLikecvqsjRtO7sLef7yoJHesHxJVlqSw9aCOdX+TSt+9vHZwaERe6XSMAN550cfgah7xlP3yV/ZVCX3BHvCkSwFup8nLQRn1sqLI2gl+HyPOnpw58XSwmxl6kPJ4qiJS7dqR8fo4BDVokFE+YUCxxCITpD9SLGVcXFedmXJYuy1UJAwYZ6/eW/FkkLMzeyTYanDhM40LKYU5G0AiohbJJUknrjYmOd3bvzaM9uL8zJCMf060MUS/Mz2tVvXVLx1+PyrH2IxXK+RNW7Y7pw7KDyhoAgG4rjQZN/GldivfOH6vbePXTx/7TZmzo5iekIyzANZqiZU0PogMg9kF0gsaGBBA09cA9RyF1yIGghmAMY9rZh9Uq+N8QQ9Yiijin2tD+EZ3Sh/WhIKtNOMiLkLCjHS88Jz6OhJ3QC8duUyGDLbO7tIGqaDMZflI0Krqsrzc22Hv31y9GQQFeADBHOnB4jgAx7ZhIg58eeHc/oAUGLLr4P2y4Y7Ortx0y2NFlAXm6KMLbQswbGTZ7/7zZd0YQ7u3elpAOZBhwUCNDTJxjQIhgzj86Jwp0zbXUx09PLKMntcqCHktOVR249efu36zRrCASfWKdiR4RkWLpi4SBLoxAeVcSqpSIDlDSPcJ0exZ/vKcwd2/cYXDuTn2AqCQT0esJAtKS3C3xdfePrEybNvvPlha9tjDzjPKFY1lQWcUx8KAQmcFgBAokmr9J/LDofIxdts2LgXuTf4yW8GccWDvgNzXWeang/Ayh8zJc2yWjmEWojzsafGJnxT4xNToxFjOBc6KirGfssyJA6PCI+OiZ7A1bYwAuPzBBWJyCCZ8WQ8XaTQoBwEc5IqsHgKP6qVVHPIkfUXsTzdI2VIrIskiRzmH58YP3b8vDIAw1K4ekVlRkZqR3s3qh5T54bFKsI52cuXL83LsRbOwyJ7FBZZciDn5IRJ+gR2moyO0+IOMGOzLxoUWIvOnAhMCKDIAnKA3VR7d1trUIDW1t559dodCIZcCT+8SAN0CvTE6VOXvvZ1wwCMONju9+zZphmA7dzsIeb8ZB8isPCA2MyfHpQTyoO8pFdFgNOfrESzpm7IJq+x4aGullaUDhYexKckklme+ky2AaenAQZ/Pa2PYX+IWLQIYFNjWLUixWYXwKBqj5xrKASi2Ac8OgYbMGSKhtkhkb6dYTBCJJcNZ2CuYpj4ShyjxBGPKArMzCk6QdGELo2tVMk+n25mgiFHM0OwMj1bPIvCgu8z0ACNFnZnxVg+QJgBdJ1evSfG6Ucdvdfu1lcU5wo9WBlhu1pbWSoGYKbg/EhClALzN7kSBJhi4UtmesqudZVCX56dPf2nr9asrVyiRxp+pm7MpxGFoP1LlgdKwCgz+z4fPm+tWLK4NN9jHggDz8qy4vys9Bavg1UC0nYmWLycKfMdhlkIxoaDW2kLzivvnTxy4TqOYp4JE5uoKUkJz+5Y99WDWwtysDgpoGMzcxjsYYEgsEVjVXlhanJCamLceycvDw6bp54GQpjXeFuWiLItIistBZfqrVhS4OBZ1/IYl/4ev3QTk2otyai6WozlpZkfUadOl/086+L2gODA0PCHp6/kZKZ+Ze8m3ZQOPzay4Ea96rt1jE4sBJ3IBXXc1gne5kRGVz9gg5nvgK5T1IQ1laXfenbnppVLg+/OkTOfAe82Z4qASCorzPmdrxysLF380w9O1tx/qDMKLRN2DJe2QiMyDRTkLC/K/cFLBzLTkrFPrqtX27M4DWqIyUYu4mKjN69YkppkO1JYSKDhr1haiN3kPf2DIRINGQw/MjydW5vuGE/E+YsMjaHHwOT3VxQvfnrbmgxMwu0OJz//3ZuHGh9h37lQt1chA5iSVCOTti8pWiR6AD+WvPzozSPpSQl7Ni7XN+rBwLltVSVWDOCaYceclvk5x1ZLxgBZlpX3FliovgDkpkH3xEKk/E2DbCZTRj2VKwA4HaSsKA+3G+BaJOoU5zCdNTn6ygry8jLTFmFxracTgaTctRLwzC1n1pOKMzIxPm7/xhWeV7emJ2NOVfy4q1stjQqx8w/UJp285zHMZUsfJ1yTPCuGkgNoa54kQYXhWmO0M62U5okBk3FUSxWknsTl4mOjr96uO7hlJZaSKBs/bhb/p/eO41JwEpiFFVHhd8iMRL0DEfKCorNaWY65qG337enqOw3NuF/Duc6PCood0BVT/G42Js/IA33n4vkKZ8ctkuK7pCDv+1/af2DLyuBDOeBhjY6Kwv1VQlYRMDxibf3uC3vWLiv5769+cP3Ofaxslw6UFOrQiBP7iYdFvOd3rd+wouxyzYOX3zp860EjfgR9DkQLNe+2CuOuT6GSWYBb0MA8aMCjl5wHqgskfqU0MN+VIJgBmMY7pZzg3Z/AWdAKDR4ai2nDIo9jNOHkUTPQF2GDkt9/9XoNrqTNpF1c5DCcPb1vxyuvvw1B8AeiYmaj+4z8/mf27xYwedY+qG982MIie8iEbE3hXl2mwFZf8hJBMQuZsy3OPskqvOjFlro1K5bnZNlO1zl07DR+2EBCMj2IZUjEIxH9x0+d+843XtSH4x3bNv3wJ/80Yr8WRSRnMQyZ6YUwZYPJIeg9ExDUGT/Hxsb/9u9fwQZc6EOQmRNpF0yRfQQpTzgP2k97kSmV0uiAa5KI1MHWPZZqcHDo9bc+ePPdQ9u3rN+zY+PalVXJSc7fgZ4iRkdFHti3c9eOLcdOnP3RT342PDzsCWaLFA3J05aAgHesDgUI/LHU7NMwcEGyDgl7ZHh4xJRrOmiwIUSqFpojLVEloIpjdwKHp/qDj/VnExloVNqYKYWPj+H6X9iDJ4ZcnwJhAI5LTqQLvrDDdWxsYmSc74TjUrGzDTUEqWwSK3GdBER8wMqfJbyiQAlU3/FGraHa4nIQlGLpGuCpazdqOjq6YfQVKNyTvX/3ltd/9j7wmQxxoBm+j2/k3btdEYOO7tXWP3z4iLoXL4dKDBv5JAx+rBimQ9S486E4koEdedD8SXCUCdV1lPvKlRXZWdaHWix0OHrsHCxznC+8AIhmT3vjgYRiOnXm0le/9gLlnN0iXGm8be0r//DG2Bh2c2pOcdXinpSXeeHh4MnZRCT1bhCX/qgDo4yw2inm8+eMTFh5YR9yMT460v2oDcWZt6QoDt0OFwHyhrOgk9PTKC9+X19XF5ozUqhjt0qec2lRnHOmXTKGRNHvHx8d9fdQx0pnQSdix79/qM83gTHCIWpI5FxAzgw6wy6EwBEholLdooGfjgOgpVWBCc4sZd4IgS1ofYr1nBoatTNnWzTyj9T5zJtBdeE1zxpQXYfygAHPoFRVQjF6lCRawtDw8LV7DTABYqu/iIXTGnGX5zvHz9OlWeSEqowhnstULLY0fjEffpIvIS52eWlBdroxkiIGVy3C8Ha7rnnTcu81gsBFt6+3Ax7OSJQQnSWQiYDbB1dXlKo8mtH0hl1ncU762sqS5vZOpS8dIAR/oJ8OIaDOFgTmNJjN/sVv7MWasA9OXx4NwQbsVgv2q+GW4q89vX1xllVAIhHuGcUZ3Tdqm3A2b3t37wgt7PPHRkWmpSSW5GWWF+UtWZztsFFBpILstK8+vRXTkvdOXQ7hROXZZt6O58iXK+hbWV6EK6h1iywIwFh76Ox1WH/HyPqrIxktRR8gzAkU4KSOEIyqqDK2S51v6+z+5Ow13Da9YXmpEhOaWbmkYFV5Ec4hHJ8wrhpldAVi8+jSCCNb8qcecMgDE9eu9cu/+8LuyuI8tyxYjtDa1XunvrkG12t39uCKRExjMfNE60M/UF6YAzMqrpp2fGtG6sHNq7LTkl/+5fGztDvH+AHopu+IccjmSJ3fIPoKHCqLLcsQ741DZ/qHQvhhGJIEtkyUF+aX5Gfja7UbFQbFjcuXYM0HzM8zuyTSTcuKsXG3oslHPZuq/Pakz1eI5jBGwzUFQ7bCwrFpG0eyOxYfPGzr+of3TtQ306nj3GwNFJcibBQZ0mr+wJGpuwxVj7u6PjxTjS2/hTm2TzGw52AEbG3vxoVcMoia8uFNInqpF6xsrAWFxVPxsx2sNPbTeRUvC1BkEEVJv2elWT4LUVevla758NsCR0dcvnWfDcDmhx9PrWhYAbykNuwK2LKqDHeXqtOzAwBzNJUA/b4MBhNCGrK5sqwIK408WyXaMk4fOXrppjIAA94xyXEwYb1BjZYmHQCfevCzlMSsb3MtJl1pQlPF6EHP1od5Ai78xtX1i7PT1SbgtOSENctKsXYQJWtMkc0mTTXL3rb1XOjslAy4EArXcMTFGFNxiT928abjvmoTnj72QFTUXosyiW7wddcxt0ggBWvoH37/xVKcW67dV2iy8D3u6rtU86CuubW+pWNoeATblPBJOTE2JjM9ubI4H9OqLLqn3FYuqO2I/6MffPXPfvoObtbg+RXTm2PjVjLN2ZOdloRDdDDn/9Fbh1//+NQYPnSY7c1RZHNm9QQJWIUeGpOZwodGdQFq7hpA12prQXOnuEBh/jTwWQ5885GLeZN/3ggFzZXHz56g8K5EbzERa/yhqXFrk+kre2mo5O+gblz0mhRJL9zCdejYqW+8+EXF8um9O1/5GQzA5kwYEEwhJiZ6z/ZNCgwe7B42J3PeTR2n7arJHgmKkM0RMRlnaasYf7OFyGw78D29f6fOC/4PDp9gQUBCSNEXNfIz887O7ps1d1ZUWdsyYmNjtm/d+AlOjdYdk3CIy0xJgRTPaZBBR5qLHx+zvvPtl4oKC3762ltidhXSJDxlnwoJt/9CARSkbXWsJfqiT1njuTybjhGUiZEP9rxJHL6NP9iNl5YUrl9TtXbliqqKkmlPh8bx1Pv3bE9LS/nj//cvYdUMmC8oQeTzgEBCQCdIAsGKZEiWW8PxDw4OJ8Rbi8ExR0xPS8FCBA2GvESHSttwykdVhOLIME4Vx+LEkAZ7E898G1TUS7DwJGrUEnhHiEomD1V9nIcM4zn+YmOm4nGN4ATuOh0bGccR0kgyqosNyRUAlMhgk3MaXJbLwDMomkSQRNNTrrVSdbmdO9XAWNTepEqPjU0eO3HuxS8/I9RwyPPePVte//n7VAcpGySc/H5LiIvbuW2dwVQq27EzKuj2gMX4+ATfQUIlDYaUY2LM570TAsmA/6jmsPwjnto7M8VXjP17t+k0Qerw8XOAmMKPXVosgl3yJk2cAu3zd7Z31dyurVpmfmoP8yXGx2/esvbE8bPCSqcW2C/anC59OijgC4gNEHkztE70qWFLQ2cNo74iXX5guOouwc/OQd/9/QM4l2126IxFgtoyYgtQfYcBtYeOEPDnLy2JpePIqDxRtuGRixLTUsMiwqJioiZ9+LBOl2pbDcROZ/YSWnQsX4jUBAFlIfuAsQwhJikOf6iIwz7/+Aj2r4dIyQvMiesMe+F4xc0Uj1stt+CZYnpx/0ziAgtudl3Ti6XR4LZnYVAvRD2N5hwQWsqC97PRAI8VFmsJ6pHKrzxorVK0Fhr7UNzYqYlLJRsedSxfki+p2DeTn5letaTw3LXbGrxFTIuE14oXHzMCYfqDHyZG7PTVLa/Yu4bzlgeGhriy2YnZQkjnqmi+bYleAUsUeyqWzGGDL05PVdGDI6M4bLY4LxMxGDlzM1J2rKvADYuYrSiYED2BmLIGHI3JB3vYzw+db2hR58rY2hpxNCJEN5ixhsVGRaUkxhXlZ1YU5hXkZOiaxHyArx9bj9P2Tl3VC8spOy0Gdcb5cJHHtjWVX9m/2WH97ejpP3rh5vs4yrn+4fAwLRRzzJZQrJgbL1mcs3/zyqe2rNK3DkMkWPuf3rGmub3r3PW72pDt5u8SaDYRon6LuFbPSYcIYivYxqqli80LdBWTy7frPjl3jfdx6mUomldQhsdOltiJTiQeTwTNmLC79S3V9xpWLC3QTc7Y1okLVrPSkpsfyzWeRNn1iZjjSAQrRwTn5TSRpgf2IhBqHGvHYoHJ8O71K77/G3uWFuQ4SODuxjPX771/8jL2LHX3D7oXQZKiwsMyUujQ9X2bV25aXootrYoIzKuryoq+98JudFenr95Rn4sVgMNjAjiiPYJNrZ0fn7uORSceafYo5A7fr+Oio/BdGyWIPMbhKu8I60BOgEPm57avedzV8+GpKziTzNE67PSmDRm1VMFBRTi9Fj2SMl/dbWjNzUzG0eICU1aYix2TrR09bDBDrbOKRhEJwePB140FYVD6VGo2LrPj6CY/jzEQUpeKZEYjwmGqaypLYGJ0cHr76IUb9+qxmw3xDGmla0EiwU55wEL5qb0LF0SKH9dyP2h+jLJDLTJx6SbgiqJ8XNwOAzBJadMkoBxxRB9kNTEUJcNjro2nX03yU9QJ4RHWleORbIti5UEOXGJji+cAuGKHg4gXWEg3Iv+wc5OjQ60iDmxa9fGZa+3dfVJsBAXSTkV5IZtxFqLPV5CbiZab4Drx24TlqQk4aGHoGyFX0QiEOy8KkzzCGvIe2LwqJSlOlcj12qaKolxlKVxTUbI0P7d68AHWlwt+YO0p+mE37zf9X3/5M7P/sURWEA4PzuDdvrY8Wjue7UdvH71d3zIZ2noaZPVxdz8+I3hx0vUAvx70oYP9+7eP9A/Ow7EfQre+qZ2ORKRGbckicgUoJocmQghahMFDqgBhERdbZ2KRwuKt45dqtqwqV8WKwWLb6mWHzlwdHqU1/VxnqXWIkMpjkSD6ErJlTfiuWlKEaZW+c/1Rew+OmI43O3+dDvz01YA+hxJFcCTJuU+ARxMAqXph6X7fppXl//tvv1iYm+Ew4mIov3G/8ReHz1+8db+ruxdVwobGcoBuEhZWlpV+cd+GdZWlGamJOpGS/Mx/850vQYwTl2441gIq8RzZcQdNXdlSfvzLY7i5w/oCaQEZMmLLDL7Ax0fH5GQm49Qf7KlOT0nQZRNyOenJv/fVp/My0//H6+9htStpz2zO8EhR2hgHCBCa3f30g1NXbtfJ3mIrReBERhuOLWDBmx0g7O740GfF230ith7nLimqIqaWlIdQTBY6+oJ/QQO/RhoI0Lh+jXL4a5YVa+o8k4yhmMls4uW8YwUSfSV3l2w2ocHTCYyw/M7EOAtLzEdHTuoG4Lzc7FVVFTdr7oEIYZqj765tG3HonBIG3Tc23aqgp4e4gLvxD700ddT0x5T5DZ9pFpL9rwyflJi4bdN6nWZtXWNtfZPkC+hkQFKWIWMjqP/YyXO6ARjoB/fusgzAwtVQDs9mII7MbfHkbNKTxw956gLM3k8GqoRnn96bn5fzx3/yF/geR1olNXDx0tZqCtKLWOM/zXQoGU/4efuvMgbjdwrF0hNvlN/U3fv1+Pvpz97DN8HSksI1K5dVVZRWVSzJyaJPgW6HXa1rVlb9/r/8zp//5Y+oPHRnFDno8p+ZRLKQ3w5spsqbMmCmcx7MZOLB2BxBhP3+Ifsyc2g7AweP2w3ARMyUDySkthAtZiQFBRgJEQOTO3EjUVTYlGTmb5xhPtDTFxEZuQj/ovAXCUvwZMxUdCymauOTY5Njo+MwCZOdk5yVTYNVQCmQ4AI2cOwvoRAgKyABbRAhLGFEdXCT5ArESvJhP83R42eVARgIBbm5VcuW3L79APoXVFQznGq3beu62BirpQ8Pj2DTrV0sW4hs57QFhHb28vZ+KjcSnJ40mSfxqeAASHxQZARKf2HJyUmbNqxW5DC/vP+g8UFDM8tDYOHcLYRjbzxfkA0U3DZ8+vQlywBMp0Av2rNn6wnjkGpFbA6eAAp3UAwGJWnypDKingZa5s2xpG1RuWMGj4Ud1ddu/bs/+i/ECNujSUmkJTgYWoEGeC4q93dI0jDVQlY2oc/MkaC27NgCFi0U6fjISG9bOyTLIxtwIsSTzigiKjIhJQU3Og8M9A11d2NTONmAnXQtUjPwiTCGSAEkC0xORyC/3z85NjbcR/UzFjbgxDjE4ahLrOpg7XHVC0zNmaJTpzRn2AnvGZ4VklCaA6qnKIEiwSe4ZpAaiiyeYExZUvhTQyAhgsejbVCXQ27WkgTnsJD6JDTgUVhmORI7w88v6m1oVOF4erlwacjzdfT04cu1MgDD8ECnQFeU2A3A3nkh+tzJCl95shTECx8u87MzNq6wHfXc2dt/7hqsO4ZgNroWvlA1EwGLjjNomzJRTRTtnYBLiMuKMlONa1lHxsYu3aq7eLP2By8eFHsqvkEX5GRWFudW323g3GjIAb2BGCIeeadGSm+7yrFNpKau6eTlW0yVG7Kjp2A8PVX4gxTMGDvXV720f+v6qhKJxBMarijO272+qr7lcfNjLAo0aCoAJaUhk0rw+csKcvZtWoFvf1acz3frwcMfvnnk5JWasTHNFm7kwhJ4fGz89oOme/Ut2J6Ce+N2r6tSlmmIhMOW921c8bCtE2sLTOJ2RZixc3yr3AkdVdehdvHjWZqfhR1mui0WwI+7eo9fvIUs8FI8RJgIhkCBpBUN0OwRJcIB1BeerkEUqqAU7B0YvHr7wdaVZbh42KDHJYUPjunJidgVa5USN1BVsR3ZmUYWQGOiR0VutEHFa748okOQVw6/m3Cn6Xdf2OWw/mLX79W7Da9+eOr8tXvDoyPAgHKo/rMTRcFLnil/B0ynp6+cvnp757plX316O3oe08JB2/FXlhV+67mdoyNj52/WAt4zd47SEi7qyWo0eXMsJKltfHTo9FWWQAEG83AWwmCw37a28ot7NuAAeV3IorxMCH+v4dHdhhb6Cco5DEbOI40kVCpS6dhehs5K2SwHhkZx6e/ejctXlhWIAEhaU1F09Xa9GIDNOhO6DN58lQCeHo2LTbGewPMfGZynKZziqyLWVZQsdt1OjVMNYP/t6R1Qbd8gbxaG+Qa9AIyluCkRPvqdhiqAQN/AIHoVjCM52okXiK8qzU+IjW339wAesrmKCgy5GzHaGzDYuZkjRo+UZuAiZ+Krt46jIj09jobliShCeCZ50pTIYPDpKYkw2da3tPXrV2tzMUyfOahEKzAwqyjKy8lIUa01iEyOJKHj4hhQcpMtAeAg65VLC5VdEPaz1z46/Vtf2leYZ5jWkuJjV1cWY/SfmJiBlfR+YzP+RE5H2TiERxAA6JT0eCxxuNPQ8snZq8oCx/VUqq8O6PS7lMDkTSiSxFYRfTgR4fjFGzgpxASZh7caFh20vFqQA2T6oKPOqNwY8cZHKjsdKuepizfvYe1gYnys+hyxbllJ6eKc6rsP6DQBgqEGroRUHjstZwhgQMUd0kkJsXrGj1680dHdp39MtmGiJKQWUv9BHRH1ME4BbHNpXZ5lpQX/6/e/7Lb+NrR04HL0Q2er1STQs8Ygsn9g6OSVG6eqb25btez7X9m/tqJYv714cXbav/rmFwaHRy/euKsOPhH5DbEhLtdIW6Y4YAI4OaNK1za1fHLm8vCo/RA76os1YKNx0odfdC/LlxYf3Lp62+qKTPsV3TgZCCfWwOL+Z6+8jSNhdDGkKBETUEJqcJSuY4n/UXv3odMXR2G1NcSQaIYUcEI0nFAxQ15vGh5caF6AM44ztSyVdsboCwgLGljQwBPVgNZRPFE+T4b4bKSfuQEYXNA9evDyiEI+BZwzLN0qjdewH5D1xQtDllghBT31w5bWm7fv6RfcPrV3JwzANExQZ2/I8ez+XbpCz1262j+ABdHSiesplp+MPywbqBh/YhCCUOREXrzCEeCbYIgjYvft2gajm0UIk9GSwpf//I+NGGNUNEYQQ4IwX3wcfcrXXUX5ksX5uU3NLUxVTzEyhReoiFlFnqAtkTo0/M2P2v74v/4PyMx5kkEQopIM0DO2NcC0ExEWnpGesqSkaElJ4fLlFdFRUYoIjiJZsbzyt7//9f/+1y9DJZx1GMTg5Q8eEhYpJVuiCOiNJl6UYVIhjGBcJIgRS7CYfAxN+n1Nj3AsU+/hU+cmR8cKc7O3bV2/bdO6okJjH4wSBvskdm7b2NXT+8o/vqEiycNiuHQlsZJsKFvHQjL+DKXR5MRFh5EgJIFB/infwKDttifkWB1NLJSJCsPjTVNQyroRQxxIRTQ1RJFRCEUitjJAeQgoJKd7ghDx0B0tYMB+QVgcx8MiRiNxt2lkVLSxnN7vj5qcmIpCEtwwzPq48RSSQhr6T6Sc1BRlBjBDbCIzA+otuAEpCByrnL1UCen3ujPzICBLJQAFdTY9bKu5e39ZufHxOjIyYv/ubXdu1wkanlAfDHgH9m5VgkxOTF64VD0wMIS6rSIdHuR7anySypf/QAUFgjBaNFVwsxwJiz8OTvrCIrgyQ4BdOzbqLR3NZHnV0h//1X9gYJLLkI1fkkHkMz7e1tKBVVFRmpeX09LSSoizdkrhwjUwHQXoDYJkA4JeXBuoyor11+htEM0xdgpUiYxsChFDEmiRfMaqVbIczJcjCQ1hbb6A9NEWx0ZGemADDg/LKSmKS0mCwIYNODIyPikpPCpichRb5DtxdjqKxiIekGTgBAMZL8nxdMQUoJ4pLX/ECRVy0g8Jx6D/iHAYgPksaCQMwgaMahuqbqeTJXCutJRZEVFI5AlVXI2p8ipCKoY8jlgVhGdaZqHAgIiiaTBWUaHg24TVA2glTsqKsA634P8cacDo2kyJZKg3QzxOoFCpZI0Xe3lQgc9ZjwTP39s/ePVO3cDQNmXDg40BV5Hl4Vpcsik6nap1irvOkRkTJ0Ti/OfVFcXY8KdIYOstnSrc2IJ7NFWk3UPE0P/zU7Gyg9hDSgx7NIUkKT05AQcwwsorAL3Yp3jtdvXthhd2b8ApyoiEzRtnz66rKr16tx5akkmlAHs+SZVeonlJQqrQHZUD/pPzImGA0kwWchkhdCVhtFf7o1NXah48/KMf/Ca+OaokHKW7uqKo4npec2sHT6hUCnnQpB2OeftjIiPXL18CMz9MbgoA1t+/fv3j45dvmhIaKSIuC2zC0rgbNjk1gY10qD9Y4vfc9rXq2x9EWldVAgNec1uHS5luiUyaM32bYgmeUb8RaRQPaTk5Pn5lRZFs9dbJY3/GhRu1tBTPRLOIGT4rwkS0ukfOA5UQTdL4wfMQGtkJ2O972NqJY2Z1AzCiczJSczNTsLUV80+jYASc8dhL2DN1IgBVkfl0Rh2lSqqc34dretFqlhRkqzh4hkbG3j1x6eW3jzWhuPUE0y+5NEP0Bhi+t+KuaJyo+a3nd+3ftEKZPFEhsT+45+CWnoGhezCvAtqURadgq42S4Ki1dmgQwRRbyseR4g5CPFZnGK7tfPPw2Tt1zb/1lX271i1TViUIuaxkMXb44Tpemrtzl8XZchPzjpFK6lYXTtXOy7TMV1hFcY6+no/nZaWijwIt9GO71y//+PS1jp4e+UHMDIieq615sA7EF5qhf3Ynv800IUPlYifzBENS5pqEVm1JS0nC2iN9iznkGBuf/PD0VayV4e1ZXLG4hpmZlwALbClD+diDtstvM8CKN60vN2sbML44DMBFeVk4dLSxpY0vRaL+X2qXpZfgVdeCo9+IVkh8TM6mASdECGGXACDoSVPiPZOCsnFWLhTEokX4VUSjD6o0dhCeuHwLv52dRKTtU38ZgCfpw9LJokURWKGiX/mMJRQx+BChb+IHOH7q048Xg6aFT9XHVTpOmSisqo4krior0W1LtU1tWOaF/uHFjC1yJzS2in5p98b3jl8c5o3gXiQDxnHh6DIakI5C84CgQsRgQ38mDt7slwhWgNKDJYF3l2ume32IASWjDzFZmdAhvLXyVdhSY5wthYlxGQWoDyFwc4AoNYqHBopAbsrX2PL4Us19mDZjoo0vljDtYyp1u65xeJjWzHEnzAM8VSQWUnkCkKXs+HxpSYl7cIe0SVZgsZN0eGSEqqvbIY7+0O/LEy+UszBFgjJCe+GCXUrS77x4sDA3Hd9YdNofnK7+i5++29ja7tjAqrSkqpLCgsJOXr6BxQ2//dJTL+7frGehKDfj9776zL/v6K5rofP2FYryEFn7yGUxUkB2D2faScqFJbkmPXT19B2/eO3YxesweH/vi3v3blqZEGsdso3JKk7BwST2b3/+Eb5z2FlRCJTdlVDEdgOrGAbw1rzAODtEhenlMXNHBKcd5YNx9SIuccJiWuKBCSykLGhgQQMLGpirBmy2zGDEqG830519njNswhlvmt4Ysx7p8WgIpfGTHjaHbpFGKKLHHpyu/Mkx3QCMzb5/+Xev0FIpGiYILic7Y82KSp3KoSMn9aDbD9JTU3weEXPBD0r6AzH3KAFQYkMysVBhzx7Y5SZYWlzgjpw25uC+nT98+VVPMFITbaqjH8YRCJAlmIYiUho9bG5kZPTOvQdsjCQzDNn6SFbSOWYbQCcDMMwd4WFnzl2OXBRWWV72b/7gB2mpKYoKJuybN61/5dU3u/mYVjL1UAEgXQgJMSIojt+Yf5KQAsVaoi8rwKLTcRmOiLBliORgc8vE2CRurL37oP5+XeOrr/9y88Y1v/8730lOTjTo8gubJp/Zv+vd9z7p6elVGdEEEVglmHhMyUxCJI+ewvu9oTmKxB+LzV4uYBMbgYF+mwEYSktPSzOp8ptrA3yscKo2oGlqnDRkGXyJLGoW7ZGMio7auWOz5ALAE1NTN2/da2p+ZKPsDkgWEK88Ggzxxl3WMNZjq2/42Pjoosjo8UX062tROEzCsTGLMNuKjJwYn8D1tONjOFd7DPs4DQ1odEzqphY4iZVEbL04B4q1iAots67KlM5KFR83Kf4VQ18Kxj85fEYZgJEFbPb94Y9fw+3GAAYkalAeDpuqKldUsMjxiL6z1kNQ4gDtEAWe1KPI6KAjguRCI1qCRvJKtBwyh1+wB/dvo3TNoQmVlsy4pcNuvWfv1n985RcapZC9kAmiyTMEJMmMByAS5E9LY8JURKjkaMnURuUPMOzRYMlLqSQN/+fv2Nw/UR9lRJrlTeHZO8qEMyPOcEDqKHLYgLsePYawWUUF8alJEAplTjJGRMTExienpg2m9uJcZfRE6JQCEppBQsjCMc2A0CoBg9Po+Ej/MMojGmerJcRCHf6pgXE69sq7KdmEVXSsWInicrIiA/s8KAQG1lJseAjo4ZCZa/Q+F16ViRnlAMAKkbLBdVCLtCV+LvK5IERQDaAJIp1GFHbiwVNiJVHKHDH87cWAtFP1j46N1ja2XLtbv21NhSTBvJGbkVpZUtDc1il9qR2FQg6+ZljxJ09acuL21cuU5RVYXb39Z6vv4Bpghe6kLNKjU3FVbu4znbFuOpJ/RRZfo8qK8nEQnMRg/RV2f1669aCnr/9yTZ0YgJGEjRdrK0pzMi63dfSAgpu7IkgetyJdcvCk1w0nZALFW7lz5ELUAZpNre2/OHIOG0mL8qydu9jwBHMUZap/wCanKwAxhUd+dnpVyWLkWoFgZ/b7J6/A2gQV2TJoCSVqMcJS/YDe1Nb+2genUhPjYSFT1LB1cnV5McwhOPUakVpxBsq7Qg3ZY8zUCN5SF1tkVQzOAMRCBsf2X+T0Sk1dY2sbssDSiEiGYIHlM1JQN+SbK7iILhBEGqIR5CRfV1/f/YetrZ1FmPCyfIj3Y7aGFoEKOTqOzSuWWkkIIUCgDsc/A23lYQKAAGGRIwKG3yIrSbN4WsoEskXPn5uZ/sLu9ZtXLtWtKdjf8/NDZ3/y7rGO7h7SjCGRN1tVDRiKHrVNzX/7xscwinxhF64hN2oj+p+Ny5c2tLTjcILuvn5vWrZYbn6mqKpm2kAolQrHU0IT1XiTZOZ/INx60PDah6fTkhLWVBQrmjjpd3lZ4bkbtTgLmsBNeJVHBenlcfUXRMEfuSgKe/iwY0mhnLt+D9UVx8k2P+7GQhbRPJr/irIC3LDcazeYUesO1nOxiPRwO2+jh8BqGEJBIoKycnOYS4xZPC4azsKkMDcEqGJpUQ7MD1HaacxAf9TRffn2/f6hQfVJQDLDT/ECyqN0FGvIwnAik3SnYAuuVP1h5zh2saazux9XNSmUwZExFNyiyIiJ0UnRGijIemypNmah2fNpDxE1d4zwmK7glSTeHld2RRFKHTqW9JmeSTqY8rtoGykfna4uL8nDzaNSpdcuK8EhHI/au7CWyLNigS9ryaYCVdyKHcZ6bMZVHX5n7wCf2bsU8xkFA+FRbPTkknSzQ5KUjkLRPVJkelnEREfjqunYGMMiCGBs3MRpH2C9Y80ytQk4Oz0Z98UePlst+3HdfHUu4icJ7bp2xwBSImXocRDhTzL8Cc5MMCobKdJQps4jFKm0lWkmUfquRJ+WKGwVkV10C9YGJNFOGUxUrj8e3dpcqryrThIziTSeNlGtAOBwx/SR89d3rV+eEx1JXxt9PjoFelXlLz45S5d80xIwVC5+ys98VjdFmo3cIsfqIo6ssRUVxVmpSfj0oQBu3X9480E9PpWZnZVKEQ9QqXjlqzUrjNoI/yIX0Qx4wOncWZjwrz+9c/OqMkf3+Mbh83/2j79E90UZNeuVg6tWviqFgDt7ev705TdHhke/8fzOeO0aY1wV/K0v7PkvP3kT24Wpj/RyonZO4Xx4wbjjNCx3ouQA8dRemai/5n7DH/3ZK19/ftfv/uYzydrUF5O0bz6388b9plOXb1gnS2skjSYvZLT4ULzeQpq5FMGC07GVJeWHkPQCdaB7q9gBFCAI4g52AQAXohc0sKCBBQ3MvwYMAzA6OXdHZmydozESfzzU2gQwu1VbpBVAzykQahiCR7jw9B1UPSiw8ZEQ4YE7evL8//Tb3402F2rFxcbu2LL+8PEzQgjfH57eu0Pvnbu6ey5evW7LiwcT36RM0khC/ocHO0NilQmWkHppOL9vWXlpSdGMLUCKmMOzZ+fWl1/5GYxyjnjWNeUP2oLRBY7255Hq6AmvE16MxDwplCTKjekDGvzIHL3CwnDVR82de3/0f//Jf/4P/weUqUjhJtmd2ze//c5HgCTFI0GeDEGMuRKYBUikWA6GxNyLiBNXvDE3ZeFxKyoRgZ8sTLg1FbY4mCJx+CqmrhF0r+3Z85fr6hp//19+d82qKuZjPHCg8Y5tG99595ARJmnEWT4qD3IshSTy04AQQfGENGZtI/kEhuU0BSapBWRqarK+sXnrFuuIb4idmWkZgBmfHozD80FoiZxol+bqYIgnZZsHd85+eFlZCbIp3PHEJTEXLl7993/8ZyrGwwM+RIRTnLmUSFW0uA7XTyc/T06Ej+C3bwRu1sLFSDhSm86IjorCR8ao0bGx8UjYkLAPY3wMFwZzHoi6MLDxV7Fg68nZEsyGRwEFjyIXP6hZ1caEh8Ywm+YfflCmf2J8Eoc5/873v2q09DBfUmLClk1rT5y8IESRqb27t5gkCaWjo+vK1VsGO+Zh0tbeVLRgRU7KiJ4SI7FKXouCH2orryhxb0/X6M7AC4P8jh0bX331bWxZngHaPIMaueXiJj9KhLbGcnnJE22U15pQEpz2y0iJQgAUMJSu3uxRZaPAZ+YxJFSCGtjO8PREUbzjw8OdLW2UDd/iOLEBo+DJ1L0oLikpY3E+lsf2PO6cxP75WdiAA0gaXDKVD3gM/akoOyZFT05h7z6kRw6i4mNgA0bzxoCIS77tsFrIomb5PFs3R5pFqBEwvDq2OzVwjIWnfFwlUJP8uB9bRQam8DlImUZKaG0aCCMPHlAoTe54lOYBo/yfg6wviGDXgIwSVnkaxUcRxgBivlS5SiVHNE8H7OQkRKMPToHuPXHl1qryYtkEjH052OJwYPPKYxeue36QFT4WOaZOD+ZHzPz+mChYXvOWFuYqMAz6bZ29uFSMpyTeIpnVlKoiIHg+wXXSq246xBDmip146Jay8mJcxCjBkbHx+02tdQ9bcZ7BjdqG53fC7ES7AcjmnZmKb1W4XNPUK3cWNnLCwdFGLOWS8Dy91HJhw+d0UZIRD1omMOXYDBhxPLgRO5VTGPJh6F2x9B6+JqvP3PiAlZeZmpacENwArIiATW5mGm4URq6VfLghFftiYYpTMYbHkk8k95DtTn3zoXPVJXlZ6j5giFSYk5GZmgx9kvyUMc6Nk/rswkRPycUeDps5pBj4/X6czYgy1bOJFNzRC8s03QBK5Smwuhgco0ewX5W6UcISpgkL11KurUhC5cEcsqdv8OefnMZJ2vihpLBBt6dvgEZNrP4EX9aHkROkKQZAMDPCuCKj4bVeQCFJDceNhauQjZCZHPKbSHI11zBIRlx3srayBBdpGyZtTsbFh298cu7HvzzaGdrhn7Zs0RSctPawteOV947DOv7czrXq5k4cNYJd+3fqW45cuO6SRxPNrilDeKf8BE+s8U/TmI2KEbAns4SM7Lt+tx62WGzPVRu/EI9FD9hgKgZgRQ2M3B2HSmWPTQ2IUeHKkrwlMF/JogFaLjOIixgHBoZrh4YbWtoqinPFWoYlNeurlh67dNNhABZSXty9StVTFI5UD1JZQIckvcoGhJtrQnARNOpcuJJT8q5YUqgvcBHAM9V3Hj3uxnlUSutcLZCosDWKzuxTfs0qRIMTwtwbULujUcMXNjA4/P/95C3SDP4RuMw4KURdLX2X0KsHmBs09c6R64NL94jAZwpmbwITruHMBC1KUoKojwHM/JuEdHrAdaHTz2Tje4yAuuubyOIg6AjebWzBEIzN7gmxZCnHFderygpv1zVhiVigrHiWkE4WPevypQWZdBepMa5dvV1X1/JYvzSB4W2ZAjuvLAAQ8Tp58ntmbXV5UXF+lhpl2rv7r92rx0FnN+43PGzryM9OQ+cJXFgKd6yuPHXlFr586KQ8uFNXRex052AdoNx0DOWXcjQyY1ZgpBo8dAECKV8BE1GNhOLBAMB2ya2YxwE6AABAAElEQVRBaF4nmFMGpHMbEhSQ1QGCRGosQvKKwLq62e8Uj2kBlmr+pZpaHFyBXebqyBOcc7OyvOjkpQFsG4BSqembLV1Jrjy6WIiUID497d+4IiUpnjJtuo/OVuNQdEwYkOp2iOMP0lRXSDkgRUyhNz5ihCMVU+UBHWRiy+ryp7at1rfqIv79U1f//JV3OnvI+qsEE77TVTZDvpHR0b94/f2oqEUvPbUtzvxCjmp/cMvq8zdqD5+7guk3CLqLUriE+oQ07BzwNiFJIioJdpZKcUThy28dHhga+1++9wLOf1YU4P+tL++/dudBaAvOFF5Aj6eEgDYUayhMWiAFguhEUBwARJ+ZO+KJBcfrD8QQvFnZKMmNZiIALHCiCbTwXtDAp6YBd4X+1FgvMPrUNWB9knCy9vuwTxGVQbonvTdzQtrD1P0hxl6NaEzgcQHU4PA7HWMo/Sy3O4QxytJvdpr2ki1tcGj4+Fk2ApmQB/fuJBIUJPSn9+0wU+gN27B19gXSnRwMWOmdKZ0NUdJbK1hQNyVkMYEEfmG+55/aa+DPxyspKXHzprUOSpQvnpWQhlgMMp6y3RdmVPjx50ABAiXRH4lN8CQuOXPsptKTzMI3OeVv7+g6fPSUwMgTS2hh3iY9wJFa+KRcnoJJiUgCjfq0lS68YHHOd7755e988yvf5b9vffWLBfk5Ih6sROIhSUTg8HCggC4Mjzh8lX6FiWRTvsftnf/5T/7i9j18prQcgJcuKbbCLLvkQHuCilMVJJzEUR6MP4rgyQlJY6LI9IXgWRJ6k2amamvr4VcOkixfZu06JWCGpFrD//HCplJSkfyh4vK0VbQodPC1pcyWHUwKp1raHisuNo+IjSjxeORSA6dUhsBkFDnA3aY49nlkdLh/cADHrPQNjAwN41ZRQETGxsQmJsQnJ8YlJUTFxWKjcPgibvvMBQ9xinlwtia49xu4omYhwhXSDWlqTHbl+qZ6+wbPnL+i4LBxli2+nD/Iz0GViq3Mx06ep5auJFZpmodLwWjj6ExQNlLaKr+QEFpgOQ09IgReTx3YrpGZkxeVLiU1ef36VaFSEeEkX0rQUJFdcERHaLmSOIL6GepqJPviowBKzY3AoKIuoyGR6jjWA9qN7x1jiKekhIecCktwJk+gjg8PdTa3tjc+HOrpQ7FLw6d8RUamZGVkFi5OzkwPX7SIPg+H4kQYQ6SZSaZDw09Oj5IY+5PSJyfHhsaGewfHhkbQVGOS4mOSYiIiF1Fhup1nJLEJzRE/82/mGIJKeJaPQlQ36Is8L8KhlkeR8+WkJw6NWoiMA4AhBwFSQuEu7YIIGEQULSslFDoLMJ+ZBqiqqVIzpDBHFqRwi8STvfrLJbAB2j84BAtHe3efAsBXm+K8bOynQYwAqSQEFW/y8j+K4XjFNDEB5z+XKMsr0nE25oXrtS2PcbicqnuKquUR8hYPlSKszKAmBUUxvJKLI+hDhg+nce5Ya+1M7eodOHvtHo56GxoZwZl1DS3GnAdzVRyyirNVxcTCTMDB4RxiSyrDSu5NoZHg1JpQpKeNJk0AlOOAzkPISLqwgb+1o+vW/aauPmuzL2ROTYrHUYQC43oaDDhe5oI+7NCFCVlB4sNc46OOts4emSwGeVLGWET6NSQzS5wfMzl5+0HL3Ubr/BiIlJ+dmpWeAjCCl/rBiIKO+e+s/6b84XKADlOgTKCocR0ERxrswDchPq4Qhu6kBJVNeCBqXUt7Y1snlMJZQC4YxcoUkQJBVj5JLn8MzFzMHCFecHkiR5vsCZImdeDix1bya3frYFO/eqe++m5d9d36a3cbmto68Y0YYkNU1h5JLkFTG4Su5Y5GK1Ke3QkXhyaZ5uy1KsrkLFhESKus2JL8nJ3rqvKzrLWnWDh79OLNXxw+j5t0RBJWEcvPmgkUZGDSMAAEsbG1851jl6AflUtYU8qLcndvqCrMyTQ1I1LphUUlaCoBfNlJHUOs5gQmSK12JIEqoWg1fGB49F5jS7N1pzUtGYmPjcXpshofwws53JEqxp5IMksS3jgIF2cFoy+SGFzsfb+pDXeWj4yMVd+p1829uGZ7aUGuunNUEYeHteB4cH50IPJbrJ0pWlgImRFUG9UfBEYhquCn7oFQFndTi1SvEJ8UH4drquNjY0zJ6Y1jh2vqmgeGhvSaSbmgNsvtXSqP9tQhpZJw3eCsGx2I5WddmRjc0RpKJuFoWk9VlIjTk6kZfg6Sn5EFRhfc8DOuSAt0C1fFS4laQeJltWW3n9h5woCE9XPKLYn5C5X1D3Edf3q5wE/5cTmcAnKx5j4WykiKnAJNJhlTelvbNiNVqstDhYHVGFtWlacmWh3+pVt1/QPDmAY4HCnKLACQom8k5JwZMbp0YzigquX+w/YBnNybkhinvuSgq3/wsG18YgrWuws1D9T9u5BhE67yzs7Etye9LMwaQ2Uqf8RFKziOJC3ynwjO0nJd4nwYkY5sUtDKFGdRPTjLNopgQyqwEzWVQm8McPxHMC5nJnE7MiEVireHeOGbK/0pABaA2zVpW9hQUPerCsaRDKx1BSrV08MkXSjcaRjUSCqvLIp6pvy9vQPnrt1Ft6x0gNny9lXLoiMjOS/QotxYZ2bNzCbyqPIrWZYg+C5ZnLuqvEjvz3GN9Pnr90ZwrLQoQZ6KJXuAyOVplpsBQz9viT7BIKc2B3hsWP/m87swlOtfVKrvNvzVax909WH5BdUMwVGVRalDdKDiTQ8JQHnxhY2Njv3dLw6dqb6r7yPCQpxvPLMjJRl3wVDXwWKDg1M2m6AcUJK4kyTGFMB4O8FIKvwZajKBp974+OSP3z6KLkiHrypd/MyOdZi4Chhj6ukz8IOCQDNzky2/A1GxAZkBHdiI06PYb8JSJo1Ek7sLVosw0bQoy4tEK7DgW9DAggZC0cB0jWa69FB4/PrDGD9+PDPK0y+MG/Rlx+6gWw/1GrHeicaUAXSEIGiy0cFJGLNAnhpRlwkmIPbhJyd0oNUrKjPphBkSYPXyytzsLD31oyMMHEAGBUnmTRnNmQ3Rov/0onFVTCL8+RpCiuU1LjZm787NAjRfz4P7dnmT4ukt64cemDrwH8ZzEs2BgrAJQGAsvA2IlSHqNHKJfaAffnyUokyHPObn55JOoAJzug5TMf6kOOgJYMYAj/T01Je+/Lz6+8qXni1fugSyseGcnpCELcHYdReOM4nxwnwWx/FivkMMmC/z8o2Oj//8F++bgtAb9Hn6Ai+BcJJ4qHDMP442H5QsimFwmo4hbNRcUglZIuDkyV7KkMy/+NMDMGBQfFDXCDMwpzN4WFhWVnp5WSkCLDRRBxq0QdNL4ycE1SZZs6BlzuIEDdjt2VDCVFOT9f1OsSMPSQ5RpCIaETaAgAHkEkwx4YMlGOYjtgT3DfR39w/1D8EqDAlhSVoUFRmbEBOdkBATGxMRjaOicYUuDu0maSlvuhNJ9JiQ/SQHgI3KyG87LmvP/B1FEvuwWvDQkTMKCqb3lWjp6XRQOaaJK5aX52RZxzBiH/Pho2ccElOhkwZsjsqYiw48qFwpk0ZGRUjIqDUfnLgenpgYv3ObtQvcRm5WAToFeo91e/E0NAzppoGaPhl0tMxa8A4NmUGuOyg1LjML2uYzNMYFCzgGJXyThg04tIAhopVp/i1uFlFoNLygqEYNDXU0P3rc+HAY69yJIotKNuColKzMrMICsgHzLxAvAlqcIRxe8qclBfYKkoGqg3lE6cmGnzixDXikF413LCJ6UVxKYmxSrCxv14BUdUYcIXnQ+nSiAnCmneZ06MMc6ogmfwAmGsR8eB1cKOiICo2LyjOwTQIqjkmYsULPHgqNxwLUp6IBGqLY2TwcwANpxkO+9KnStssmYJOTk7gWERfMqkQYIbLSk7DnT2MhsAZTxDN9elIUTUCoSlEQ0/SwMFhed6+3HaOCvQVnr99mQJpzzcWBhY5OLK0MUkjSsa9odWUxDmsVYMxBWh5346g3SvX7sNj/4i0ry7HRkdiyDLOTTjmw32ABACIm/Nhn5k0GeTcBEo6doSvAUxEhxBG82JSsiewxQJFmfqTGTMqPU6w7aKOG5eJio2GMMqkILUXEJE1TQvLjHo64mBjMYSx8Wtg6imuGSQQRSH8qKTQP55sIiNzNjzuwtXpklHZ4iIPlFbeW4rgRCQLM7rgMWHmiwhCfPGmiyZr5RyLT9JTnv2AhGcAbR+biK6faJy3ce/uH7jfhIFgc9G1Q0PKk6Chqiot4jHgNxSw9oxZQkAXDzF08gEWkhS5+BiNh1R/HKEgDHpFCB2GXIyk40iICakJHkZ2RR2RTKIpUJLacLivFzdN6nUFxf3Tm6oOHLcSTHCkHz0B/ZgEZwCYYBdF73HrQ+MHpq7hFWGUTFlaYOStL8vmHksojpQsJBSkxnvEmDLUtUq7bmfICgP8o98iKkQ+O5CL1d3T1OxtdDC7SiZIGa2ALDXrCmSTZI82ZW7GKN9ojIFFZMlLR3xbjxAJTZh+WqnT19glizYPmR+096MEkFVcm42ADHJrNBJ28HKzdQaapxCAP5dnuKM7MgsnFqUKzKDi7T+hhSaHEIQ+Vm5lEYrGfvw3QT+H8rHRcM682ZUrO0G3ea4ABeEQkNasrQlR1vfKiawT6IGcTAgFEMG/xMABFiofS2GkeomBiGakaiB4jqPYn0s0/qZYskBWpUk2PWYQipfY05NZiKCvU3xilDAr0z+GInrMaAC+Ao1JCEv47yfh9N2sbcbC5qtI4LKS8aHF0dKR82AECYQbJmZnEPEjQipLFuO5dWdEaHnViJ+4ABjWnI2GEsuBSkPJF8XYn2WIoqXEGnmBTzgqy01cutZnuTl25MzKCOkZDePXtOqyrA76QxSKtjSuWRi2KsFo+Mxb2Xk/UaKnmJJ4SwfQTE8FCjIFuzwCjCaL9iYxwlomUKR7TsIJESVF168bOiMkwLkEqaTw8RFScJgBJwwnUeqkZw5HsZmWkMPs5hUKzdIZCAmAbnJ19IYkL+UzeUxdv3GvvsooVqVgEkJGajI8VDGpNhg1MepHT2TJJUKV84vQd9P/47CNgeOKknPqHj8Yn6ZYlwlMJmsfQHw+7RFpaDMGSFokX95PMw5Tf59uyuqKiKB/n8SlKOA3l5XeO4noRNEYBBjLhGyJyvZMYokjSuP4Aw33H1FR7Z/cr7x5raesCBcViWeliHOkRHRWhMM2KbTIhAS14IDJ/RcDmIVB2Amb4DXVIiLMvXiMvFnFE/MM7R67crofEii4O3jiweY1aM8QZdIqkgMVj8HXEctAUyWCqBDYlCvjWiSkgK9Kga0VYPjP7VkwIvkD0EB8C9gLIggYWNPBrrIHPoBPwWFGrFIzhURsiJdpbROpwke6dqOhRMg25GLfZ4uQizoMS94WKEuCvXL/1uKMzKyNdCOFr14E92//x9beR9PT+XYo6PHdr6xoam3Hf7bRfm0GfhhwWWcYeI2TMKQxDJps4iBj+9u3Yop+ZDHYfHzn5T794l9F5gGRRCJhsxnR3rxhBOYhoX2ZG2r/7w3/NUMZj9cqqrMz01rZOPdLwEwbpn/5EXUSYgm6HSOPqWQHmpyoTtoayPdTEhMWyu6u3te1xbo5xWxtIZ6Sn4QDe4ZEx5EhmNDIpADpsqfiwRPHIFOeVLujVHLKKS4VFNlNwWhQHsmE4kzg8An6cUIxZiFt8TAse3G/UiBEWG4ClFsjTjWdgSDIFdHCNHGGSQiCdYd2XIsNkhKKo4KnOQVjMT0ZGR+rqmpYuKVIE6Ajf7Zvu3H3ACmB4GsYJh+ZtNPOBtkjHtJiNVEB+y/lpw/SSJcVWDCaMU/6GpmYjBtBEzayzmCgSDSSqOMwBdezp/IYlXD4y4Nht2N0nxoYjYDqKWLQI+1vDwiNwbowvPDY8OopuCJ4Yp23ZE1rRkDZMeabj5p3OAhv1wTDDOwGRKz6EmDSJNJyQXH39Nvamo5kIKH5b7tq15Y1ffAAD6v69lgEVFebuvbrGpkfGicQmYS5DUpzuuKRIleABRqxpI50aEzUbrFRAbg1hcWb2rh0b9JaO3cYfHTrx87c+Bj6VBJMiitTAjbUX2q53opS/OPff/tvfVWKQMXtlZXpGWmdHl4p0ekg+Z5xneBpAi4jl86TjFUnaEw3aK7EJK0oyQ/K2axxM7RF2YC1kiGdJafk0qFl4TTp4j+Es6IeP4MktLYxJwFp1zmCYH0ejp2RncMjf+5j2J3kIbdIJtWDsolrYKt4jSqV5eAicbMCjqGi0jCY2Mi6FltsP9Q7BLqEhCN0ZUgf+zDG8kUKg46FeLQOflZelwsOZATOKGjlkM//PXkyisOB+lTTgrBK67DJgyZMGAlQgGlgML70CYQOO4MP6Bgav3Hnw1LY1ciQyKGAnzaZVZb88dgH7g5mgzpBoS1iYkZ/YCbWp+Ni4FWXFWWmG5RWJWG7/oLkN+4xpyCLxCCOQAxX069QF0jSJxjULElwcI4FFi/BMSPLjhJE15SXqEmJc0narrrmhpRVpnOXh6/hAPLRFHXydnZ60blnprQcPFRWTmuOtS8/EkE4aQTxR5iiC0eFMEgLjTNQkt5IwcJuZE0okF+J6+gfxZxKkN35iYM6Ab3CBJRc56YnRHzsXdWMePvxh1SPWAZiZkbwYHEx9E22WhzshUjVJxYUTht1O+ICIOxfzs7AWlhwYYB9eXEwU3f0mDsh6UXI3ZiSF+mI9iDKAYuic5UAkBymR/P7kxPjMlCSHEaixtaOuuV07A1bR8pYAyS6V6iiiG2JMYHTsDbEmfzhm736ezZFclMCplER6oE+zXL8RZgA8UXrCTBUDJXo6lgF0uTyMqaIJSKxIBULLjA3+ZtXpIHoEjBzYn4RdbgoAlv5z12uv1tRNYUEuYlkcTrV8Eq2EYEkVAaPakPyc6fHxiUs37q9cUpi5J1mdgYwjxFeWFeF68hbaemujbBAyFcUyCAD9AgoE7B1PtBwNjaOYBxcsPUZxU419zxDdXkPTHmJH+dDqNmdW5GEqXg9TdqMQsQOpOD9TXcrY2tF7vbae+16ig+31OHcUp0DLkbno0/A9/YNTVzr5OBkIIM3Qi48zTvGVBEfQgkYeKM2olJwjqwpbYE/OF1h/uswEJcJJDSGxfempSenJ8XoXB6j6lvbevoEpsnFwpTURDWwjI4G5kpFYVWcdmhoyiPCQxbWZKgPLhV4AsqJmIIzmDWzyUE9NkSQAkSSJqQoa5CloCmiwMV6o2tTDCyphM4ouE3MjYnZErxDxtDldq6CtGUcsMEYCoEJWslgw7NNAjPw5AeqaH9+obawoyUvhRQ9Y07B86eKLt+7JBx/JJagEr9g6m80rynA9tmJz4UZtW1d3droxHql4yA4sOJMye1lhlk9BB/QAltJwzAnuy6BPfOya2rqq79zn+wUofONeQ31zO06BlnaNraJ7Nyz/5dELQ8Oj/z977wFdV5KeiSEQmSDBzGbOOXZi5zDT3ZoZzUia0Wo0VliPd1d7bO1qLdlnvdqzsiXvyvZalqO8K1nyWvKMdEZaS6OVJnXPTHezm2Qz5wRmECTAAAIgcgb8fd9fVbfufe8BBJvdGkkoPNxb9defK9xQt6ocfVSaxsEfQz4BIcG64X3vYi7Jk8/xPAQBLapbAMlqZKC6OaAqJ+PeIRQX4iJMyEGZv24CjgYSIwaR6YhQUnisQ94wV5+UtLiUcfUZdjj9PU8g+qumB417jjzhvGp+CB6GJjQkXwCOoZ2+ePXC9eYlC+aErw2wAcfjm1c332npH7RNrOEkNHX96YbQ2ZXDFgzLy8t+6Pkd1dG+ucB6++Dpnv4+uiXWOCZHBt/3sSOxwqQIOZLdEUuCfU3wl7oOvPss/fTzO2fNTK01/fah0wdOXMCWbGBPQlc4UTQFj5UQRQBQPkvqwIlz+09fWjC3LqwyjZqP4VVsgI3VLIRENGeapzI2KamBczoCQkfr4ZkkWDPH1Rqd0ny7unu+8o13ly+au2C2e0sM9O3rlz+xee3uQyfDlBuxybQFJzIr0YHt5D2YKjsVistJYceJmG2oMw5ozgW2pWmWszDmkDcOCiNyuYG10shKAwjNC3TkU6cpD0x54AfMAxN1LT9g6hZQB8N5BXIEVqb1eohmUQ1EaJ7MmK3LtkumdaSIp69ExEcniJciHFNTcNeVsaLv7d4bs3vt5RfQFVdVVr747FMx/K13NP03BuWN65pLnVzA3YMDQSX8bEYgBnX4K3G/z7z+SobZN77z9o2bzTduNjXebMJ4XsONmw2NN6/xd+Naw81r15FsutbILAxLN95oOnb8zJVr12Mm8MFrr74YQ+wSYx7n0XsOcLsVo9NyAhSWN6W9YXgsu7cSG+dUFSNXC77WkBp2xeWttqaGTpFjdLfDJyMjU9JxwAX7fkeygCHUwY2O38fX1JSK0qG0tBgrl4ILX17wZtZrZlaA/2jR0FCywIuBRzBZWIoKP00iDHMMjkkwUEiLiG6RQ6iWnBQc6C2z+sYaAAZ4M/LengOBByIYfXz5xacfWzif7IHEp0nelfPpkDVVSTcy6OhidfH6b+OGtfPnJbNXQdPe3nn5yrVECliHonZSKA1AVU3LJE4IzJbGyRGPA2ZDQGKEukDRkcHhQSwNjQW5sHNdR2dfVy8gqDZlFeUV1dVcHRrzC2trWFKPKNDhdj+sIshwNf1dpSIidccWp+++fzBg0vMvYc493ixXP7NrZ4CjjN7G9N+cwEYQu54IYEs/kj8CIr49QCl+pYHRX66djve5iGCCdHFlWdlrn3gu5o1Ftb/95u6bN9iEGxubr19variO1t2ENn4VbRwtnY0dwKbr15FLhBPHzzRcuxEzwbbWL7/8TAxJ4qZiks4f84bkz3VQIDHkcHRwyx3nSDxzWX4KlpL/eTY5wnxGwTMpjMpJmTyL/Lxz+EDMYF9/O+YBN9wYGRqE6kaIelJaVj5z/pyFK5djHnC22iR8klh+ifmgeWjygPJR5oPh4wws5N7T3j3cNzStsqx6JtaCrnYXg9yCzschPwwqTSaYBVmiD2FXIeFZEYXwHgY+ad7Z7uRhhE7RPHIPTLocJ6sBuycL7DLY5bmUz9DFhDBkMM6rC6K4uriUpzA6dxQe2XX39p252HD9VkvIxhSBxfPmbl6zLEDiCHlTCZ28CN55KI6xt8c3rg5jySDEksX7j9dryUenj2hjlj5OJgWCk+hygSgbLRmiiDCOV06YzosB3cALw5OHTl3QV//UE4NYlxtv1Tf4796KirCG5FOb1+JdXiDJF6F6XkcKYuCZPHkiyCLKyhyIkPcHklQQkwBxQiyNVSX5ijkKGJoaGBou0DkYEXWiauTL+8SIughDblimDztN2P0PjlKSJ0Rwy6cf7yztByhxaIfLAtdb9+7XNzQ3NN+zX9Odtt7BQdzD0B36oS6KyleavG6YAIhsk0u98KLW+ZL6+CStQ3xsbt10zKqJzUQc87Hutbe7O+UJZFEQvTXezxkEHEgEWypicY6fAEhlFLFccsNnp2ZF0J8IoJQ5pnwk1ESk7WCJeNslN06KOVQfX/MkVxITbo5QfmbW2OiSBXNXcpNLN5kbqmAwcv+p+pZ2rhkOxQ1NRxlCL/DHvNSPmKpNBleS5FBmtPFOy+GzlzE7O5iKDmTLmqXLF+FJBwih2rgIOQcgORhPUQM7HWStk20apI9GmxzJzddtM0R35akWhi2Q+weTPbOpwgOHgGwRPJRhhW3sKxkYnL2KJZla0K6BgDA8PHTs/JV2v2Qu0DD8gI0nw67JEj6xAmDlRYhvkvTg9Bn5IgEVf3FcSTopFMLHGIGWTiUVlHQDROqiJS5fOAeLIqRNKbp643Znbx82VpJNMIUVT3VPZEac8A0C4gj9lfohQQjhqjD0EP7YnABXFVVN84QACWgGqNMgC2RbXJWNtLnBgDhKbfEXoUkH/MP85IcgFzrmyjdIJkP26BDku5TQ43iGI4bBD53BHHe3lAW+aXh91/ZFc2exjdGJrmTUJkNPKVuZi8D+RphMYq34rWuX1fhCx3LfR89far+PjRKAk5EM3iSUBHo9yBIwlhVsykRUhGPYB6rs0y/sjIfusMn0nXvt9ikVJGBX1A9O1scLY2xYuQRbxmr7WKcWTUFwWgLo0l5pJF0TY4QFg39WAZ6Jq+rAk6F5Op2FGXB8DSWFcSCT0A7EyZlvcWbx54WIKCUgJKhUpE6KJCb3cSkvE+R+4BNiReGcQYhZ4SOWCjIZcSgp2OQSnoOTWpinqYgjbsB2HzrTN5C8JMTd5vM7NmG+itntTKE/qOD4vy1rVqxavCCekovFHo7XXx4YGDJueY00nhlxzovOItMCOhCLri4a27BqyfoVi8PuxbAVa03jK8/ePnSM7KgMjYoj8GQSPJzZDuKyCOGPPheBKMf+8t0Dt1pwo+VUQeb6FYs2rl6G7wKNBbWxX5qj8fJZCTn5W/A8TZAdkWNq+KMUClxiVE++7/jZS423M5OAn96yFq+OA88gMM2AKaeMBCdxHwscYkLpJAynmPkuRnFxYxMyHFelvQRPmzANOQ8QSbMCAQAPQPbIUD5WYY9M6ylGUx6Y8sBH6YExbhKQP6DLGMKIHYZwbHQxwvLdqUCWiHILR8PjHN6385U7/3N6Jkh0P5cJDcYyA8AYjduyYT1Gf7EOWxCHYSFsAByS40QgwTbBcD0+UHHBxVHjRzhgPWQNC2noV8kVyxZvXL8m5tl4s/ny1QbN/AM6SezzczCi/nxs4KWbKSbNzrHdORq+9uoLoI05MwF0/eil8Me4/cfoLk6XUn/+C8/xcMwcQ96Sml9xJW680RwzAiF2WYoh5h/OU7CbBrs11T0q7pba2u4HZAyhrV2zYumSRcL1YBpNbTjUhltN3gSPmG7EMJWKxmD+rFnJ5BXmjI61tuHFBM2Ng6UdHTJCGnHKyoZAb57RRE9S0UWgoFGks5KCcojgM/N9+4709acWMqqurv7Zn/68ypE3MIav6Rv0jC9cc71jbiJwxKyMv/fln4w1w+PKwcPH3AC3qR0UjfDImexddYpyXJT59iOeKUJdFDMcUismAXT/yMjQMN+j9Pb3YhZJTx9GhUE6raysDAus1VRgGLhm5vTyqgptnBOzypWfDxIEWqa8gIN3eUTCW1ze7fr7WmZhNvK77yVNGD3P4kULt2xe+8yux7GTSiDu6xt4b8+hkHQR9BP41sB/GmxAM54uVFnzXYQCVAIiGiwCG69951FcjJduK1YsWr8ueYuNOnvjRtO1q43ucxA2L7Z0V2LqN1QMOtBhDJhXvXdvaudy3IhjMBuSlO8PGXd5cOb8YFhG9AC4pmKQ4ZP2PMsCYSXKH4y7OwpV2KxzBsxPlkCJlcJMJRK8ScfG44PXecM9nZ0d7feGo52E8L0ux4Dnzlm4avkMLC/B73dlOVgxjMfRMHKPWRpLO4a56BNDjHRsaLS/u6+3rXuwZ3BaZXnNzOrK2qqc3nFibs6mrJYTEOZHzw9NsWJTwdIPmpVhM5dS2fkS1jzMauSHiMXx8Xk6IJ0FpRFyUzHL3FxBUiwfwM4CbKbAf6M8kK446vDU7VnXx1z1H+xCLLOg9bjk4S6i5X4H9jYLSLh/xIzYHetXBkiIiG9gy/6TLcNOY2OlJaV4G/vU5tTdKd7zHjpzUZ9TCtmwA0cfsdtepZx5jrlHSJ8DTpCOCzhRoCHWR8X037AJMfYka2y+d+E6hnvNLTiOtnd2Hz5zJfDEbFHsBLx59TKaUziYCEkREvkp5U+8c7N7beXHB6DaK9VCR90X8DaQTOyg+zvDN7jd3sds+wcGsY8vcuMfdBCVgGa0Bk0xeIxbLeDHHObPmTl/9gzKTH6gQYgh7nbdw5lrN/CIHTx14Rd/4/c+90/+ux/R74v/9Df/n69/r5XfZdodPrxjXrVIfIwVedC4OT2DLcUIg4sWzKnLHQDu7O6932kzkqlAyl+mXYbjxEnJJK3+WQCOUW7EeyBhajieIqGVboFzgh/HAn8PfBgDcpiQmdeKDOtmTN+6ZhlmuXkp2OEYKzbfvHT9lunnlQeyBzzY2RiqCCRwbOxCQ9OFhtQzIAaeN65cXIn1geje5GcEgqi1SXSUDMqGCChSNXmcJPgoGGfWcMSq8K1b9HQPJ3R0d3f19LvHL5AYlUXGPbJdO3yLjK5eumjDykVVleWmLoavjpy93NrZZa2e+Fwl+yZeqYclczFg9tSm1TNqq/ngoh+QHFsPSSfZGyRyE2Q+QSIjN6AvoiusL5JzgSUpcUkgDpwI8qjimM2W70edNI2WuRBtONJhFK9RMK5YVLR80by4sMy0O20dA7rfFhV15s0af3ylU+AXcBDhc2MumpnvjDaVyNn4yzHS1iAUCq2Zq6gUME1olAPCKOUSOQlWKX2aKYvrnOCnk4Dn+YV+23KVDGihhOHIbDAdPDmLIvx8loMoSQSPnIfVmcvXMQ84TKyfU1eLD84wFdg5WWVqZeSc48oLUiElFA39tm7F4sfm1YWPVM5fvYlV0/sG8NrEuyktnxzkZKooz1Nv1SWrRQQW+LHFKQvarl6yMAzd4cKKm5zeAX7Xa9dxtLjj9Vfj5YIxUvjCjo1a6Rqt0bdH4MNNHGvFkeb4HyFyqMFpOCHuLsEhOyq5JG0lU0ZgbMTXMWcWf+YHRhV33vBNw5yctA6TnEeKTBYTGDXeLypc04TIKgvdNYGWrRhL89HJ7F2zkYLlYpgPevScAz6UR8lCIm3PH8zz8OjowTMX7rZ2wPMBEbskrERlcJ9Jyd8sVv3TLwmmSORwcCoqenLzGnx+p87FMXv38Om7be2Yc6K2A9IMraEBCHLkmbfJ0PmWvRlwKBwvlaxYrUBxPz8vvdY0tkRBM8R+Z06261RJGwgtzqNgDtNp4TJVc60mskmdvHD1zOUbeAcekLH++a6tayvKy2QODqneg8qnfx4hMHAR4ikgbRGXTDEwZaN8M0c8DIp12t8+eCpcT437zvWr0DYt7thaosAROAVyIiXTekY6ZaOBVcgwiCWTeMBDJNdQ/y4wjZU4N8DVkyT6Q0rIskguJIMwlZzywJQHpjzwCD1QcAAYMni5ZSeVXJ+RSDqtVCKjkuUluCGbt5T+2utGTEOemLvrGztaZtjQ3a1bd8/WJy/LAH/9leff+ERq7uwHh49hoYmI2XhR8LaLOU3kPYgLGhDC6s18o6HBXQ0GFxdn1poG9jvv7eOgL39ExsgO7cItrbxFtrwO2WWQHbtB9u47FNa7MJFYePnx7VsYT9xsOckxysl3tfGI3rcROrKoh07QwJI8QZ+x1tbUgrSwHXNBlekORoqjHwPWCy3cKYyO4Zn50NETMXJFRcU/+fkvYwhZxtJk3N6x+DS+TQ70OKw0Nd0J9uAeDiN8MStUvHvRYrnBHtNHlEKXQYyFSMRFVGlZqk0EkQUDFLKrMo4wCu9lsSxfZ0/3vv1HDcGO+GD8ice3feZTr2j0l2iBigUr6VYwxhdGgxAHbP/2+c9/KqyzbdywjtkHB8Q/R21xM//RJrBmsJYYK6S43T7zSDL9ZBHQSZnPKeQptjQUX7njRSYWvsHCZ13dg739eAgoq6ioml5TM7O2FnvKzaotr6p0nsqRHgHA0vhGMEbpBbhavshkISmVXaVgkhhjo01Nd85fuMy4AsZNX//Ei6+8ksydhfcOHj3RHdY5dJLBDXM6MYM326EhA6UmPxLHuUVLprNuqpmHzzjwuPjJV1PTfzF2+P77h9TAicxmzm6LVplnwBtc7d8KC3F8RnDgwDEsvu3tAH7xvPlztm7dSIj0MIsDQqEIcD/S4DzDCuOLhN5S558jGPDkF9khWmpaWFtjLwRG/S9HxOQAD8ZHfXRRd1tHa1Nzf3cP64DVSswDLi/H6O+CVctmzJ4NNNTHh9PMFEmUz6aTnMnF5HDoizWfB/DZcEcPvi3Am9GqWfhYAy9u8PgISQ8QsvokVEksh02WyBDyQzPErPnW/HGiV8cRkyH98MlJypok+ofXb4rDX2MPqKdM9GdFx+2A+kx0Hcwt2H2SSuQ4jGJ67okLV7p7kzlteBW7be2KxQuw10lSJYUvwgCEBN6y6lRUhG0st29YhZe5RFLo6R84c6nxYsNN0weXv4mCCfGiJBzcg0CQh24mwAO2Ihz/eynahBhDnicuNmAEhYT6BxMMB56ov4LVVk0fXKwxCPr4hlXoxzy3rKYBbhE78srr3rnpKgwR49hIBbI/dU2eNs4VZ8MPUvC6cGZN6sa4q7cfe1tm2OLmnzcFxk13PnzDzeVthjsw47s/KWjc8T61ac3zOzdib+AMkzhpChDCQM58he748wKG2b643bHbGERwc8J7EwjlhcF+cpTuuj2EhA/yo0y8+zVkH3FAJZGNYiOkaAzbP2PksiyatAooxrzvYRIld4UUmoosEY1YSpOgs9Nc+cSJgyd3cplklP9+fMFBLAsVRkp6Q4hrcZEYa1jhdEPEcbaccEze8QadI3OMyutW2L3ejQGT/A3os7iV8oI5YVlm5Ld1dGOk9u69NlDJUilJnWEItE2SVMN+BldVUFROsEcFByTk5t3Wy9eb45lVWENyycI5c+tmQpLEOYFS2OSjrQrImmYRqpUNljXO0ROQKXV2gvTsgnjxY/Nm4+sQj4WteYaaW7BtUbe1MqvMzM3W7UwtUqtRW6AIRui2bWuX6728e1jAbrVnrzR297gWLTuLrjffOXe1CevYBx12bFi5avHC8lIsZwXjKUgRF4/al2U5TUyuiZaxcCDVyBfMpSL0IsQWIrxEynUvGzISP1QSKhX8oUG5XHytjbjzJDTU8G95SWlNVZUfiXFm4bqGj5DwRS+RsRizhpxczSGHQuLYeKNfLprLlQ4qfarB/t8zZ10q4RiNYTJpDKFZsS7UTGKcy5E4zNzikM9ZXUhoP99IyTMAkc2k9Squ0OOyAGIqSWQHIano1ALAslBAY7WfIcTCSSUdcVZXR9Xyh/aO7n0nLmB1EMvGNw1YOARLzXtyNkIfJwoSFiJ2APC1xkuPb4hvOQ6cvth2H98e0Ve5wd6WgBDEUpfuInJwI+EpL1nSsCwO8qe3rp0ZDd013W09jbG0oSGhkSWYn7928+L1ZlY8H154fOOiuXMwRQF8iMmCKyTL4FCNEaIyQk2VcFpLHID5jXW5oiKODBUr8vER8jN9WBvxZ2iBpU+aqiJLHzyCg4ZkiCgjxdmyvFyoFhmlFsoWwTsWa++5Ed8POASfzG2keSDW5GFmEAFFStByqRX+CwQ6kL/GpltHzl+xZZMNFQOcT29ZV6HFBclWUPhR/YBVM7IG3LKEUzx3Zu3LT24OSyWDCJ8R7Dl+rr9vgJpQFxWZuKUOZEYA9Q9BQNNRMLxAAMhk4r6s9Nnt6ysr3GdGRvTu4TN9vCMiEyNU02amT6biAZgnEjRCHzYyuvtodpL0plXL0FQlCfKSOmaVKhxpl1VCaUXxUTBywyFYyDjC0jzBG2FoKQSs0H65AVdwGBLC3NkzcEmFp5wpODE7wvCoJtCnsmcKEi3PjgVhmZDhHHIDO0K8dEYtCC/gZCIJWpwhNcwZovasnIEONT9tzGcqPuWBKQ9MeeAj80B2vCQWFLqnpPcK2XlAlsf+N2AhwutHCMjB5dPydWcVckLEek711O5Ky3ux4qLvp1eBfuOTL23dtD5QIfLW23vSwuLMVFw9Mu+VOexHI53CUBWCMMxjgYO7SmKttldfSg0LYQQQCwVbLt658C2MzQvEyYmSEPkiEVBUhJWTT546m9KmqOiN114ixLSgi3y+5+XTBc4Sau40UjqMQHM1OZoOluviGACOpvCCNWhmzpxhpCbZeJIaCznJWRwlldM4U3b/kVghuGvVyhW/9As/B6/x+cvEwIelpaQaGcF7UsfWyMQdVIsXLfjUGy/HrICsPXedM53aMAP0+NEgoYdITBzHvWfoDQYO7VvETIOOrACyyOzCenH9A8N//h/e7E1PAsbGIV/+2Z94+YVd8gC/FfSB8siVDvSVR0ksx7d23arPfuaTsUa4UTtz9kJ9vebBmDuibF80qpl0NSNaOdsMjlE5Ks8sXyLANVvkFVbqmCaPq0AwMopRYKxvONQ70N/T39/V3d/VOzgwiE2bK2qqKrGn3MwaFF8klVEomQq8p/eAHItYXnR8nuCMjRkWF2F8d/d7qVWgP/na85s2JNObMCL7/Xf3G8PIKNxsYzAP2xunRbGQ6Al6xtcaqOLLC+gIPFhbrqqqePGFp2Nd8cixb+9hvl1FAwca5zSqDpEHEY2tyWFcaRwxP/7smfqYFVa0fgU7GQNh3OBfZacNyZB4pAx4cklTVTojyprGhsDmjjgi2SAE1jrDVMUTsrOJPuZ/HCiDUDnKOSvOf+i44/gg9Fjam+P8QwMDbbfv3mm40Y83INBItRKHaeWcBzx/xZKamTM0Bpy2YFwJpkWWIJsel0WhzIgJpaBEhocHe/r62ntGBocqpldW1dVWVJVzJnvG5bkMI1bZzAJZlBijWjoLjTFCPCB5tQpU5ALgwCdRIHBM8ixWiAXgbJ2gm1SYLP6kmAfkj0dKEDcVefQewO1fXqao8e5KU6BNWqdqDQO7wGK3zaPnUjNiH5s3C4sW6pUQWjwDBJGtVWYPUOukDsCcXTfjxZ0b8TI3qIRRt/ePnsGFnYTk4MgCQjpiQtKwJOUUkERAHbKdcLSPq7R47HKMAQc6TPY9cvaKriSmACmx+Mj1W/ewyWhAw1u8JzatxrQez5riLEh3l6Q4s8WY8SrFUXB42xSge4TjqT0TUEZBOGJE2vhnmuootlTXbqdGix6bO2vRvGRGpo1rdndzx7j0j5IcRFdQnxy7efvezTutsW4YVP7RV3d97pWnMXPaRBmFySQjyOd8HF6XXaC+EYSjHj7XxZ1wCIpVc2hpYIyQPw6pjoRyXdx5SEnEZRLuO8sryqZzECj1OInPC1s7sCVxH73iHWN87N7J68l34F6WF0SI+vHYa0ENRECgJHWTpjRTChkE+UpJeSfdFIEId3vjfCs3yv+OZ1qmFyQxJtmYk1w6SJegef4I+XvkQAUGZOWzUPWwkzf2dY6H067evIMloPFgQnEKxGfF4I8m6ZA6Eo1QYTIK0aEukY8gAwODp6/cwNziYC9KELv0zaqrFa0xD+aQjAzNCurg3GjmByaISLiQ/eOJaULRFnyalZw/sRNDCJg/e+aG5YtmTq8JPBtvt5y+2NjZ1UNqM8Y7EYCgYjZCB5k2ilBKUd30mud3rscHroH5oTOXm++28hE10a1odHj06JlL8SrQ+MoB2xbigxvyDJzpjqwC9EuQK3eQszocRZCXL4iEdZMMga/2z4hxI1A/MArxRxTJOs6pQk18Fg1gkxLENFRcq9knV59gWFdvLx7WnDFe44Sbg3juILPm7o+J4EDDSNJXSBD1kzuQJbcRGiqI9xwJkUs4CFQLKFd+lYU8ZENUhsgmBu33HgkRwCNWhpk+Sot85eR4BJZZDbzaprjk0ApWiNSPKhhECkLNbBAVDiPYeKLpbluYh/fEplVLF2K1+RK5hmzIyUzKPVIstVi3fPHqpY+Fj1Sw18OJ81c78GWtlURauLiRJ93AJoCYSigjS5zpSv+THi4JKnSMLz++KR5Oe/fw2fsdfJTzQdGR4fePncWlJ2gxc3r101vXVJTZVEgyJD7FWAh6MOkygWLVylhblZEBJCUDqx2ORTiRzKP5QtKZUERIp5OKi1Hr+RzMEMyNUkuSIConAARKEdOZJEwFAdWvEs1l0SogW5Km0ue02J9CPKcw6C73A7MQn3TE09K9ZDhuoNpUEz/0hW8fONHe2UuAAj7Wf27HBkxZYa65k3myKajF4jDzSYbftvWrli6Yg1dzQfDlG7fPXr6Ou3HQUjs2oZCZREjOf+jN238sZSi3O6DjDgZ0ruu3Vyyez8+MoldSLe1d56808pMFpxaLkOqrkCg/ihtrWpD60Rs0FEH6kAihaOzc5cZ77VjEQllSfPXShSsem4+3ecT1RBYXjTsI1w6OcQQxQmBKVVqnuNPTzGBb0M+pBMUMzx2dtmOXGprudXQBGPjjew587oYXa6J3cIunOBDkiPw58GCELMXXqKROpIUnzuVsXIIs8ZLyIiHcMDx7n5r4TI0iLKeYIBFX0zrBi7MS6FRsygNTHpjyQNyhPCJvJBfCQgxxQ86u1LozO+XXg3lE9oEDJT7Os1EZSFlZBIdsMtwoDXGEvHf/IVtQKGYZ4m3t9w8dO6VkSqYgnmHAxjVenbxdVkIfz8EgBg7jcVAIKii566mdM2ekdrc6efpc+/37GA0CDjENHyeKSBRw1xu6z0Qhd2x3eotZgJ5+YnsdRl4TNSmZnCYTSB07nEUBGENy8QwgREbHOvx+MIYG9aEGZYOPWSUDTX3wwsAPAu5VMO6IaQ1n6y9fTW90ypmyO7f+pz/3M2Xl2t4MrDAAXMJdKGybFhVmGCXF6oXFq1ct/29+5Zdm6ZNzUwPI9zs792t02Qww0+gSxoQVIh5gtJmjnGgGkVpl6ixjmSkbJLp/gT/c/tN4OrrRfOcPv/YXGW7YceQXfv7LP/WTnyspnSZPuHy6iz872JyMIgwY//gXPv2r/+IXMewX88EuNX/0tT/PW7xmmd1i+RsraoU7r2gqqWOGm0IGZGmTM+E4peBAhFDnIld5RUySpRBHgXJp6KFBLAiNz+C7e/q6+jAhGJMOS8vKsDuuJwtnSEONTrmeSFlEB8Mpm0NOGRjLBTV4ZHhk//6jeDMVhMURWNhyr+3Y8XMAxkYgUYplrLFyXQpKUlZ+3rVH9/Vo4EhyNJcFp6FfFh9sfeLxrTOiF0OYwnv6dP39+53AISaxGJgMBkgivKEfEu7xAe/fM6tAl04r3blz84wZyVQt6hcFEJOZHCOuzEu5yRLMc7jE+BDBqgqrnIrUah1at71tzDDWk4pVyOSIPkFUqg++UOhx/R6Nlhk9JpvkCg2lpWWlqON997tbb96629jU28WtsFCUOhaVVVTWzZ83b9niqhnTAYQ/JhRS0LSJSSfiHVgnrBjDoyLWb+/v7O3t6MGi0BgDrqybXlZZxhqsipOHb2CVJ68gKBELlMlxSJEWFKCMSaAWYPThORRg/JGCUw36I5X0N5r5x1T46sqcIzPdgnpNXoepChLsNPSPNjOedkIj8SgW7D1w8kKYBIx7JSz9+tqubfHwj7oiI/Fq4P0SJVIYXsJuWMm3sS6Pl59RTGg7ef4ae3VTyZQKGHHEXaxiEOM0wJvgFSBYcXdy7IWHoRqM44ZNiPsHBy9ev32h4YZwcIEQiaixjuvx+muxyVj4eqffOTjIihWgnfwnF9pnSZ7JWO/hzFbh5DFFhMyMA0j8j5dseNQ/Ezh9iQzm8zAWtWpJvFHx/a4eDMjdab9P0UYoDsIniSlGnuKAJLYXvdh4K96bEEW8ZumCf/ylT//i3/3RjauXs8SdlSklTYRAZqNJNJz8cRWTy2JJup9KNUkaPOusvGkYkS/QXAS+DS1CPZyG/SCxXkuMiZeqWPkaesdAxHXV5dl+SOb9eSpD86nkbAqQuSQEKdTHy3RKGhGABvdHupG4liYSC49OKhCIWiC3YEYBVgAbSURI0Xg9vXh+8rUB0NCc77bdB5pCYpppHoBUPPVjDnACmuKGE7KK7rV1tnDqXhIWzJm5YPZMecGRWyWXIIOohjvmrJbGOWGBGDXhDaOalSKWNC6po7jx7sagoxiOem77+hef2BRGmNBdHD1/VUsaCEtGiLnTMK2tV1sNmeZbS2QjpYiNq5asWDSvHFPHFMD8RP01N7QMXFYBBGqFjYGb76ZWgX5i05pZtTXkIwtluNDZDyTO8XFB6B/nJaESSOfkBmGSFvku158jZOXlgUcoH2FUhssCCJGm1ZVlmFEXj3MgB+sMd/f1+4mYiT1pzXgDHn7prAQuBE4ZpryJf1JLxSGpJPHiQxkZUJUzKQsA4yBDw8AM645VY3FDGeCnCsWI+02sndMEoli/iK9KyurmLItVsLiyVB9NUB4pnlzsqUwOF5IyXLx283Lj7bAfAb5p2LZ+RW11tbxkVEKlSekAYgGgzhZMoJ89A7crhoEvM67fujM4yP2z1SrThKYNVXTmusagJHWSQRxXEz3F80fvKBeUdMH29StxdxSG7rCX6uGzlzDQS0dqAE1HxMeOn8+uAv3cDowcT2P5kRW5IXgqJ8WESiL1pBLqvHycnAVUhKzMH7nGEi8EWUGGjqmPgsxE0HrLzHAyAgrJI0jCycAHcWPafgIrKv5IIsGDE8eYWBtv5Cg4sEtlFXrEaZYxy8JJzuHOBod/1+xGD5+5dLGxGZ+UBEQssLxt3cqy0jIzyx9ZMige1SA5DxKc/WOfeGprWPnf+Hz3g+Odnfh2Qe5hnVCzDDKiCLhSH+prOOQb/QBnnk6MLJo7e9aM6XHH2NzSduN2C7+K8aXhIlRQCoiBARNILMTHLTemaWy+09B8N3zbAQXweeXSRfOwRwwZsmVa1U0pnfCTCmYebYiC842Rm0iwM8uNtTuSv5ApLmHAXIa+gQF8zWZ3jJaLS/xjc2ejh0cuIMKKCBMWLmZoGbARMEvZxkRJj6gcp5gE+YysRDFQZtAiAQEZVoUMokWZgaWBKdJxB5IXmhuJyabiUx742+2BVOP6a+iKR6b/I2M0kRNTo1MZZHs/7lQZT6PcvOiVNDN1mx+4c/gEf+gUx3kZiosC6TAsZOMu2Phz/8Gjr7z4bGATR763+wNcVzCgGAN1hUoDfMqu41TN6w5KiNSYUHgsUaSo+I1PvOTp3Pnd9/fjeQSkNITrIimOBCn8NULZugpwaJYRUBcXHTx0HFvMVmHxNx8wRvj6Ky/8yde/RZtFJURlyw0eseCZnF2gArKFa6Ew5gL58jLkIbgUDUY7YgILus/TxZgf2WJBXWxlauhkCV6YbVKM8R4Ne5NTb9/Av/m9r/7Gv/pnpdEkUbwD+vRrrzz71I7/8K13vvmdd7oHB7gNJLamsL1FbFyZM3GLZ86oefH5XT/1pR+tnZ58iw01MCf1u9/bw6/kksLxschOZ9aEJ1Y0mkGfYDwaBcx7nLESLgEFkF2RUR1oI8Y6R1iIY3hA+tZbu5/btXPLpnWxhMrK8p/50ud3PbXjd//g/zt+6izJiO8GlVlXMdWwtHTZksf+0c//xxvWrY5pEefs1bf3XWu4YYUgpWKT4FWowbtLTOvTPSYKkU++GJPLsEISZUG/MIfVzvNkkwEQB+S6cy4xqEBi1IzKw7j7HSke7B+iogPYFrgMDqGQOBQXVVRWjRb1Yz4ivpFHLhFAT9WlQqSJ0oDaOkoxF0kXFaA48yddEcHcmsOHT7yQnolrxJgf/O6eg2jpaHHu6ZMZ1KAMiwFVlHuDDF15Bgp3XpRF38BlCBwcJAS/MUz0/wRm6EYBbti75xByqRqrETGx7iLsQekQLqB3APUIP6h65PDpTEuvrKx88aWnv/XNtyMhjBqVAcEWgWVIlyouWcRCe5ZEgSd1UJ0AH+uJElK2aohhlcPDD2eTKl2oyuHpyHSSXlZkKghsI4QFlOVZtQpYxCDn090ubdCHPT4cE2iFZ6CysiGsdYiNGIeHW282Q9H5y4orOdxL3XDES6zZixbiM4i7I2P9HB6GsMTUghqbSg+nWF6mWVaWpib4Z3sbGurv7MOCZtV1NZXTq0ax1hlWGUVPji4i1jfLJ68wB8zgIklOGeh4DAw7Fh+wyYVO/kEJzrhInchO6ZmLESFPRf82eCCqEg9mrhHwUohmo1Nu+wEYX3LhNWeYfoBPrU5dvNbS3jm9ep7JwbSG5YsWrF2+6PzVRvIyhl4HXsRcy0SHzXzMvtqxflXYeRegjq7ew6cvXb/dggsIMXCtspscAtWoYQAAQABJREFUU5FUqQBwodbJrCQ7RU8jCeA/bvlWLVn4zLa1gS9WPMZL2I4ubMjCS78weZWBIj29fWev3YhNxlS8Z7ete3PfccwVJUdeMhJZQYrlKMnBIhPN93HKQNeY5xYJDueP3MbrgpQvkR5TGvD+oLjk6S1rn9u+odJvVAZWmDKCJXnxORHikaZKmX4uai4iEgbwdh8+vWX1Usy4YqYPWEXzi288+/oz2zAH8Xv7Tx47dxmjffgQ0fLlMIqwew/ypjfhyOif12DgqLQRYVnLViLz34kijpeanPOAXGZiiABM0hwR0Kfyu7mWvp9WOi2eg25MenoHsGKFlRYh0oX1QFzMKEJztJhROx2rmq9dtsi1lBwE4+95kq+30yqb8ovxhNKPrw2u3GiGCGovJ4RSISqEgzn5B7CQxCA50HL8YDR9irhcDFOM3iOSYVDEA3V2FlCYBSfOuBEkQO306rl1M7Bvn8PCMtoDQ7db72OiG/OFTVtCdhLJhVETJ9CUEjmjdDkqCs/tHV23W9rxvBNGWzH7dvG82WUlJX70zskQNf2AiOJ6jnKKJ3pYDFgeL5NFUoa0n+RW3oVWVVa8+vT2n/rhl5YtnGuIOKK5vXvoNN6ek05LcFJ/JNS70RhalAoSbxCLekBJEZpzvHotpuZjU8ZOrugeeDACnrdaWk9eaNiwajEGfY3X2qULt65d3tTSiodflgN7V+UoYTjRMSXaa8BzkBSQAQEcLcozVPFYUbGWBUmB4tFFcrXxvL3OSMs70tJUdX1vET7jxgI76eLUAPBA/yC+JFWrITvQeySdrSOgaMZ04lE1I1GIMcNRhlPD4gGL/iGaaYEo+eGf2qubYfXgHxDMk5Ykb8/EnwELAVhiIOcriiyRymDEnOqOwkkO9MQOAgKUkpw0u2Z5nDwqgNqGbczDYuY7HzL0pIpbWiRMx4GWKPQNDhw6ffG5HeumV/EFFDrtJzaufnPvkXv4yllrCXnLkJmrOrnMnlmL6/WsGcns/P2nLmDRETwygiCPDTZuRL/ZwyN6HgoBspNFItUAsneFGMQThIfTkpLPPL+zuqoCcQu4Cp/DZMpBLHMCBCF52ddu3j558RqWsg992voVizavXnHg5PlBrUnO6pBTY8GWDMTJxYxrfESGpKQUdRrphAy0YZYrRPCP1Oiy7G0cKqNJBhv2Y1REmhhbOMbzkpQkkUoSLDGEOoU8qp1dtRQVDy7tsSVaihGiwNZiEaqFKH7ULlPDDflBj1Z2hi0vRt51Y79AibFSnOFIZVIxqNyBzyVP1D++cWXZNLcfBzd43rnx0Kl6LC0jP0Bj1CnYYg1L1wrvUiCsWbpk2zqsipy89MZnBAdPX0zNLAKe6ZrSBQlJ0AnKYNfkEr4KjVzLoo2SRWML5syqriwPvgeLs5dvuG3RJcIEka98HyJBcj5NVDDCcJYZGV5djhRda7rz3I715X7OCfyzcPYsvBVHhfRtTdZFeposrwlSUiVo4CNBk1wlieKdnBibwbOM0bFLjc2jozs9V54xRi7dqFgUiVEY9/y8pHQ+aKm3L7jgTlpjFC7CRLDFxAVIJN2hOQSWrJfr9UjLz6YgTToQ7uR7JjKTcEXSgghO4EpNHaY8MOWBj8UDocV+LNJ+QIQk18Jchez5Xv2X7/5ykZKOLskDNrpO3EbwD12/URMa4wCcdbkRAgl5YMCxRvW9RoptdwsNAL/5zh511jx4IVnmQbZdJvzFglpJCmhJzjFKCnd8sEfv9q2bAi0ivb19hw4dIwr7dFOWHDgMDBDFIkW2eTXAsCtGsj/x8vNACQGrQGMAGEnIdWSmRsCYIEIy3Jd4mZIsu8hTWuYqk5lnySWL16yk7RyAJBkHRCkXpDJMlyw+o2oYbHhs5PyFq3/6F2/95Bc+QywfQD+rru4/+ekvfPHHPr3/6PHmO/eab7U03WjCTMrptTVzZ9UtXDDnqce379y+CUOMnsid8Yb05On6P//LNxNtk1gG94GScicOLA2O9aFGwq6i4pFi3r7xNZbczWKDsSpPLIcEmX29ff/6f/m/fv2//qUVy5fEkvBB3/q1q37z1/+rlnvtu/cePF9/pa2jo6cLKxEVz5o5fdWqZZjPvXXLBswAjqkQh2knTp77yh/9aQJnZXP3qh5IPdTuWJShQLHktEfgGY9Dmzete/Mvfz8GPngc45rf/Pa7/+fv/qHu7s05dJAChY4MY2bx4OjgMMbuMcobc0atrK6rLekrHegbxPYpGNrHvaV7I6smIGRgyddMIMJEJhDKLNqFCOobj/ioGKUwPPze+wfzDgBj3vnbu/cbCY8Sw3MJFvItm8b9YDJymGQv5AMoVLclkXUd+1NxxBz/8xbM3bJlg0ckWVdX99GjpyiGrZraos7IadCVj+bBBBMStz+g9fX1HTl08sWXdgWeGGN+6ZVnwgCwqQUqVD+LUyNpK4/pYMSoFlEqMJxEBAIkI0+V48cQFMCdsRAY56uomDk+UnnqyW1vfucPYuCk4uht3t994Lf/zVcnReWQU7pMjgEqFeZewyzM50a1hqcHenrbbjShQBesWFzJr0/IHQgV1VVzli4G2r1GbLjbGzs8yGclmJz8ibDBzko2xReJVNq4UDrGBwYHezuwtH5JZW011mkHZLRjbCRMms9DV1CHgrgFM3JZpfqHOJtmqbWhKk2CX8xivLhrKeBs/hsPt2DeR6BXQVmpDAqmBZNWgHUgxWkq8Yg9ME6Z+H46r0RkomRYOAUKyHJxtHbMreKbW1oxVrpysRsAxgUQ2+Lu3Ljy/FVOn/WcnFiy5YwIgqUkdsqc89ITm2Nt8Cb3vaPnuCwIenFe6kA7ufbBxkpJDDyTkeICGjsbAFTmGHaK2LpuOeYSEYnv3kbvtHYeOX/ZXv0bJ13iqA1W+Lh1txWrQAeTp00rWTx/zuaVSw+cSu2YIGY6yA+yV9ZYjO9ZmUvXOPfkdkQOQ2hilTl4x9g1V5l2qafLcN1Ys/Sxn/7hl1cvmR/oMP336NkrVxpv8Z6H5J4FfWV+c2edeJBaYyfOXf762wd4i7g44QZ6zP3FOoE//OLjP/Tc9vauXmzefOj0JZT+VSwb3X4fFyPgeB/SWgi0f7zWAxwfZAoQMtCpME4SXsyNlESuFAHPhsQEy3HujNAkyKWRa0z96AXPEIQx4MwS0PjaYch/uugvpk4h9d281VDIKlBdWYGN+n7itWfjcfdInbxRr5a5iyribePt+13deOcIHxEcNQSHLUsSSnpaKcGDGEL1UhkKg5OQ2HnLqYnygKsiJZDAgeKd2wjLREMWDJ9dNz2MWwCzt3/wTitWvsQy2gGLHKSFRQodoY4PNNyVv1Ue6Ul173f3YAVXTRtyDywwsXZ61fSaKuzh6ulxpnSpLetdXJUzMibCx5cu2PEn0sHleeekcnhTPbO2esPKpa8/t/ONZ7YtnJssJo+1BP7krb3Hz13B56mqNhynIudQGFKOfP0/eQetTGmC2GOsWvbYptVLayqTkSQOX7W1cyklUvGAQEEQUjyGWYavP7ctDABjkYNdW9cePHUBLwEMUXoomj248nLy7WQCQOMFRUQqYNyI6xkggfPhgHWNpMF5haUmhB865gwQH+qrfxycKQSwHuC9AUYa+BCVDiO8BFknwQyfrbPaEWH2FwgdkseFmY7Sy1azC+iMOH52TuWkEmQQBSWhPWoe/qyPjrJlq7cYOhLTOlavmkMGHwehtzI+oH+iwKQBFLMLmHeynBoh+yiaGGiARUrrMRVNcRYCKYiHbGKkEZhSVlERLr5Nd9qxr4EtNLJ22WPrVy5tvtuGrkaPt1bbMnY65jitX7Fk+aK5YZCJezpcuIad3u2WQLoROQTAKRhXS6vJ8CUalz074yEavqXfEm2zHJRGz7BqyQJT2Di/c+h0T09vGAcF0DuXsfePnP3Erm2hI503qxa3SSfqL2NiOoubGrBAg5KO3LRQ6Ri37FFZ5lr6OV/wA/ZQw1Ub4ksoSCTUFKAWCkqGaIqnE5IrCYpkntBjOlNb9kmG1I6TJpr6OP+zdqj6QlRan5STYiEPEo8Vt3h85FsHc2YhXuZv5CKC36EzF3+i9XnsThZ6m1ef2vLVb77b1dPr+Ji2YOvttvc1xmf7+hVzsSZzVO6Hz17G5wK4DycCx6TRX8UaRnohQ4E9Vgji66VZISNbncpo8bJF88rSa6LcvHMPn1VhmgUtUv0RA7ILEePNZBzilG8sBnP6gGBsDF9FwJaiouTqtnzRvGklfMlv4lydzwiTIMEi07x0SHGqFqjwRPTqObXFJtdRQMSXIpl6i+VG2DzUNIKSzjdehyDC8Y/hiAPK2uH18+fQwBw6ialoKP8gLpefKQ9s8wgxA1kGOzdJl9FrlmMneD6IQyTT+eTymIJMeWDKA1Me+Kg9UGAAWP3dMFYCRb+Hl1J6gE6rghvTPFcL4Lh+Uq9HkmtAEuMFEpToi+PbvsDcRAGHo7/pcOrMeSwAi1mqAdkiFy5dvd7YBEKw1ZOhgZ16vh+OiWCV+mjAQMW7IA7FcRQKQSYQpL9PvvoCxtti4n0HDmN+qhg4LjiBXD7jCJbua0gBuAXqEBJYBfr9/ZkB4CWLFm7dvP7kmQvConoBfeLrDi82Tg5iwKcVMjFkyCavjc5QqX+gH2OBYY1ijCisXsnF6IbGhslDRgHXPxm7+w6KwteeEITv0wcH/+CPvo7Bzs9/9vUUdyVqaqpeS++dnIsTQ1DbGm7c/K1/+/t4d0C4MypGeag4jAErGKTrrivLEn6w6uYBU5TMglMw/MkKwbcFt2+3/vNf+5//5a/84trVyzOC4eD582Z/8fOfzsALJTE/5crVhv/t//h3eAFqOEn5SjUkeTfubea9gj2aYnFjKOPhhfg/FNxqFg1nhcExqXTkBw9wsW892MX8Mc5aXlKNVXMHsWg0dg7Gy6mhYowDcx8hx8wzMrZiHXOwOMAmE7LZ2PEvTeCrs2cv3GttnztnVkyFWnHh8rUbN26hiZFSzA0Bc385+ksfUoNsEMysRZa1D1CzvaPhIhcTQKdNe/mlZ+KWPjwyfPDAiaFBtXQQg7McBOF4bsWI4jCmD8M9Tg3pRAUkXCk0LuwfHA8Ao3dYsuSx9etX11+4Ykp6dCjjHC27TGPWW2rLH4L6KSN7qCOYeHFgy586CYPJdeEmle3BwR9KVB4ivB5evCRZqjQPRl7Qh9MCjitB0ZZPQ03GBw18H8WXUmP9GAO+2VRSWrRw5fIyvA2UFJROVU3NvKWLsBtcy/WmYaxeYI6PFEvUSWJR9mSjxiTFKpXIyw/95Aj67k6uNlBRU1GFNQmHR3txtbZJaXlp8gGDJERUwYQUoPlI0rBxUZmJNsZGhsfr8GCd5uBrZBb6saVDm/hwEifBhs7O6zgA88JzNZuEtFziKciDe0DlMU5PiDEJMuPF2q48JNB//pIEFLggCneUnZgsW3/ljed2hPWTMSN219Z1f7n7SFd3tzR1rCTA4hJaNIaVG7euW4EZe0LjAe83rzXdPXf5GsVQlnVgFBtwCkeAk3QDHs2A7rrqjOSJPCWkeM5MbEK8KUwAxWzCq423sN2X8xtvSIEIzngk4DUeb+tOX77+yV3bzGQ8Xtgq0AdOZweAzQg0F0bIhWwE1NOFacDpDbS1gI1AZzaC+vJcA5nlMBS1Lr+mZvpLT2z5jz71AqaMEKwA0/Yer3/v6Nmu3j5/ZYhIgROrKk2VjcNY78DAdz84hheCf/dHXs2MARtzjgTX1b761OYXH9/Q3TfQ1zeIfU+x8i2mP167eefm7RbMpkVx0gfqP0LhhkhUfJCY31KTlT6mTWBeDFFhE4D/EMclNIGgZFGI2P+FpFHA53p6HQlQzJB1Ut4D0JT091CeFl/XPbj2nij3LKFOst2ooeGAsaoT0UOEcaVxIAJOOQG0hs8KDTQVBEGWNHyVRS55LAgkwDUcwn2ScSyli18sGpPp8c0Bt6dNtHL8RRjjFoyrwlBhhFB5DBtb0tzv7BoYHLIZgQBiFB/7UleWBzWkrpdpanid/ZefLtdYYlrhtO3rV2NPFpcudMInd9OmYY5U3YzpeFe+atGCxQtmBTVAhNnPJy5e/8Nvvrv32Dk8a/B5lJ5Hc2c34oyiRRTgVfBnAQFGmv+uYY5tX4eFZJMtlts6ek5daujowWguCT0xoqBnJcQsw+aW9uWPzQuDT09vXot1NW+3to/YmDHZ594nUiUEL9o6Ls/eFYWhpI585qNhdnQ2EgP9noAJtjMwATzaGKujF+Gqr09CkMulY9Gt5wmoA9PK+FQnFxBBTZosfHnp7I3Nw4KoAtOJKpoomcIXE7oMWKgYlIU4v2bFQ9Vo9PaK1wIyQTPlAbFR9aV2TPFEPheVMNFAJ4FXSLTkQ2KeCwRJSOWRnRiloAa0vHQGOATrKY6J3Mrmygcni2U4DQ6NGKnlXm++dfoS5rUvwmbYkDa9unLLmmVHzlzq7R+gnWpX0DEjhrT0bxGmGM6ZmWxjtP9kPabmc/ssp7k/J4YAQjtMc56YxKOBjua+Ak50QseKsIkv7nPC0B32Uj154eqAzfskOwq1o6l99PyVlrZO7P4bSDBS+LU338Oy5ChVKCMzScWIyKlvUAY5UrTQUYoVUFp8yNqk2CWBBhtHMz7hLi8Q2weRKhEUy0jC9zqfev7JbixaIDU9Ic8ZzAIgKOOILjQ0X2q44dYN9kAVtK8AAprHHE1+MUnmxDGYiJuFvB1HRKw6o+rigRjCr7/ehLndYRYv5qM/sXnNzTstuITJeJalr7rmdPPnWEVl+RvPbccnVp4Zz28fPNXT36eRetzEcPw3+DxGQxxcoE9QCSIwXow3QMgKbqNbkbAKWVy0cPbMeHHEgcHhlvsdXDnGI5gsx1OMCkmPZGT0olYkZYmO3bl3H+PLMQaurdjELeAg4p0TY7m2o/4sBWeCOuGfbM2VBuQxhAxT4ZnQpKoReawdq22ziJKAew1jDLiqJdtjqJ8JHpGofgyxOOrDj732Aj81JOMU8xxkI2dXFsot5vjWvqPdPT3k4RBZhTyTAPUACKMteSTGUM/JsTLrQAfGjEuSgEFQwn8qNuWBj9UDeeryxyp/StjDeuAhS67AALB6PfSoQxh1YVeFd+O6U6Z2+SSh7xIYZ+Dhh0EaXOjQxYEA5LqxtKPDE7tsl2eCQKQImeBHMtchY+h030984XMZH731zh6HJjxDxpGds/WvGQIlyRaCqB7TVFJm6qxeWcBPpqfqAvPd9z4QAzGXCDMJfHA7gB6dR2EE5g4fJ2WcOXuhta19zuzU+NanX3/51FkbAKZCtF26kYkipDaHJuxCDHzJmpRCBjmCikIOVNIsZYYCyhbbAM+JhtmwRC3WN963/6gbFjN2GgNGFBfY+NptcezC8jv/7o87Ort/+ic+VxYtruKFPOgZcx0OHzn+W7/9ld5e/zXfg5JOgCfNYTprFYbZvJNIxZsaZKCK82R8eJNhrsTiqnda2v7Zr/5P/+Uv/L3ndz1u2Q9xxKDve3sP/N7//bWBgYGYHIqhWeE7eUTUZHQ/4DHcPUGBB2yP9fBnP71blQI6MKj+UBuy1cF7xctBofd2dZeioDGsVlKBEdPSyvLh/uGBwYEh7MczDGtAqAYcuHlWnoeYaxlwu53TTTR7GPxIXlw0PDSyd8/BH/uxT8UkeJ+4e/cB4AAoKarflDJWXl5eWl42MoQx/dTtr5HLMhqiD45Ji+pNY5VBfmNFZeVlL72YTNUFIdZw3rPnYFCAUokIcmoJnTkwj1ccVm2Mm7IDCar02bMX29ruz56dTGjA9xYvv/osBoANV8I9BZioR4KNeJ6mW/imy6lqSMA3TTzNRGdTLyhpVY7lIz+wj0z4hdtQoBvFRNw/yvxHokFxCb4MKMWW5MMjQwNYVZ5MYTse9TAG3HqjubR02sJVy7CrNy1Rta2snT5/6SJsgH238abeAeXY+MCKATFxboZNHiZ5QBmiJIl5zL2DxSUcIqqoqqyeNR1l19vRi3UGEpwJYiz6oJ5TdTyNY3bjqhoyVcckw7WSmMVHEX9Q9R+B7GDkZHkFl2cJkfHQTLO8ptKP1gNRwdjXaWhuCBCCf/cLOJxLME4wdPTuJOjq7cXb2OvNLZvXuIVG3IzY1UuxYqFxkRxGEWFcR0Rm1GLn3TVh5BgImLS39/j5jq5up4tv4YGDMcx7BI6aKs3y/QLpovpKrshWYzbri6orK7etW47ZOYFn2/3uvSfP437AkVrTN0a80yrB6CkWvr51r33tsoVGhSkdm9csXfrY/MZbdwMfmikXUaigegUlHeQKqMIvzjw010bcT1SUl9fqNXfCNrLHgADgO5WKaWXY4APr0eFF89Y1KzADddOqxQkVP3YcOnzmytff3s+9jZHhXt0kKE5f5bGIEEnHUS5/9v0PYPjPfvaVJzetLjS9FUNNddOr8XtsXh2mG+LlLMaDrze1HK2/eupCw9kr12+1tOE1otlrj2V8Y0a7WDg4heILpQfk8AI60TgVc36R3i6ufMTNEkTws6qNl/eIhFfnWDrE7qJTHPE4UK41fqSc4wndMsmgZESM1uHwI+DkoqaopzFuUNt5ysNZQjIER5mudO5Bjg0q8dZMwSABHgMdhkczQQZEnCQoFC8SnmQcHsOAaBhrBE53b19XD1/0i4RMrIgFedCDVRWywN0keYTaQg5dvf3dPf1hUAcf6tVUluOLSq8bcRBCUhzAxQBklwmPza37mc++lAFOKom32E13W7+7/9Sfv70f+/DSdr5rx+2Yi8AJan+s7nRIpgQkDB5VA+TJdJ1eVf0MV69NthxqaLp7qeFm7wDWfzYF/QntRZxbO7veO3J23fLHFvh7eEyPxnak9dduorO1NkWnpnWIRJOtmPJATexEEmalA4H8Sz+oUhPh4ZjP0DSPyabyqEEWGfVMbwNCS59kBHPaLJ2RXFbKdXeA4LojCWKcEJxkCpujy89nHGlUFMB2iloyJcs4G1crCHMikUowxpvxGjMZrPvSkfUoNwTlESECNPXmeP3pKIJziXMgXn+eEw8KzfnPKxaRikjehnQkINchm9csyzjSVSE74kGgJPpiKsas90/u2moDwPhy6/Vntr+177g2GieuFQiQQ8EEKSsXL9y8ehm2ezf2GFo+Ud/Q0d0FBM88Ldh08lrRADFFaXLlMLRmUKa8mpAHoTNra17btS3euvXkxYbLjbcGB91FkErLUYpQCFbPwMj00oVzwvc0s2dOf3LT2pu3W/HJi9zoSlyELi7Zzg5jGB0NnjomuvoYZBPDyFTBZC9VAkymM27oHoJUAvS5JghUrBTIjgNunH7lH/6dGPLQ8V/97T+5euMWFuoIHFAqvomZnsE5IQLcOB5Is5FYbYvriAOXHIMU81SMFrMA3LzggcX4wHH3odNc5di/acR16oUdm97ae7S/f5BKWfWSPykmcWzx1tWrsFMJ7q49t6KG5hZsukFCfZRJT5sqhRSSgEDOvsVBrHApHj8xgR6l2Cc73pQQQ9Q9fQNhiNnQZKA505V4wj+PGnlAhk/i4iJ839DfPzQ20zpB5iyYNRO3wSYFR6jlxIS2HTnZmZ9o4GKAq0oYqQFNZ4+qKup872GeOElDJj7qwo103JZrqitwufO6AdmUdJFAHMnOOuFLP/Q8fgHzoSN32jo/OHGWA8D5Ah2cMbqAv6gfXeb05EmuMRs9b4DT7HzG1HnKA1MemPLAx+OBZAA4t0NC/6R+jD0yryI23aGAXuzMdBkI3SSXalIfh35TA7R2Q+l7Ud1oZJiBCQeBkKWj4ooSxvBOzgAwJuNidM0GgHnkH+9gZI4RZYQwiQz++DhpmJRoTCjd/saKt2/bNH9eshcRCG/fvlt/4bJxBAe7LgKfI4u63cD3puY04VBt+yGfAQl6dez9vQc//yOp8a0Xnn3q3/7eH3X19NjDCKloNf74rJtbOmQUArCEgQMtgi6kZBAfdwzoFsGrzMabzfEAMObyfvHHP3fw8HFs8Ao7WGxyJb9246gJ+VghQ0QIKIKvfu0v9h089o9/7qe3x4voBoxxI1AD42Fvfu+9vfsOaSx2XOyHyoQ39AjHGggTOKxm7sVTCG5FOchqBsVmURKMbb/f+Wv//W89/eT2/+zvfwkTtSclHwV97177H//7v3x39z5H6EuK5cKi5WAkS82qjfybYCqmO9bI3ZPSoDAyKzwNZIBb4BMXrM4gS8qwXqXCWH93L74KKcZrqrKykorSCmy+i0G2kTIMAw8NDAzjS8wRTKIGGX1NR+cLaNpmMjIpna3PBwy+jgy/v+dQZgC4r69/7weHgUYSjo8Sn1LGiksrppWUlXLBQY7lp4IwgCwxvLmkSqAlOes3XYCngq1bN8yblywtgHrY3Hzn0sWrxgtopGSzwirQdJqY4MjqQ97MIUcy5L8LGLTe/8GRH/7sax7AHROf3rXjK1/5M6wxHoCIkFbtC2dTyyyRnsw03jHJePG0G0wjaM6PcmC23t/Ck8BKIya6R0aMJ+cjycvo9HAyxARWlGC1srKy4aEhbpfrCwfORLeDMeCWG834iGHBqmVqDczGJw1VM2rnLl+CGR73uH1gpE0UfTilHFWWTzY9IXMQFI+Mcgy4uA+Nb1pleeWManxoMtDZmxRhYS4peSERIgUJDaNw1Ug4sLZiSQksUIoWmW6VQCrMoaDoD5+Bvhxy/0pEZ5WHEomrspl/69J/VRXio3C0eovxyta6E5sEjDguNPfaO7APWRgAdjNiN6zSALB77+FOkcZYcRfDrs9tXx/BOAB86NSF5CYKl2Fct8av8s77BQqB4KCDRHHI1b0uRMbM6VU7NyaD0BitbLrbdvri9aADxNMdGq9RCxwdGS7BQnBHz10NA8DoobHM8uMbVl1vuiNtTWOgg5L/OFAJi9o3XnpnxyzmIANSdBbIDkvmz/lvf/5LeGkYwQpGcTXkrLXS0nhAPWDjzdqeo/Vf+cY7GLrmzQ/vBaiV+dbK1CNTHw/JxvF+7u0DJ85cbHhl13a81MZ+onPrkuEozyF1duPB65ejhvS/8Vxvb//5hqbvHzj1wcn62y2tunuVf9jjooNz13RX5nSM46ZolE4JQYIG+eDVjy5+8DcxWAicQoUY73x8EjPAMNkX43bxKtCIY3lYqqWel6pAGbmOB/Md1RtHK6/Rw56lqQarOXZN/5jHTHlKpo08+eoTbE+JBI5m/KAxoCrbZ46q2NSebA0bJ/GKadMMnURSGVLkWOwOjkU9eK8aAmrv0JBtcEiKHOZEdLIDTR4dHBpVodtZP8390H1gaGiA60YmAToU49qdAIxC8gGFxqYK2YSqHmN/2Dh2wv7WnmN/8c5BTO2CAKqKSZr4Q4zl5yOQA9ez6ef6wHnBeZ/GjGH12pWL52PMIOj3wUluX0qeCR5ZgafMR1GXYMncm3faMUBuA/MYMHt60xoMmLXdtyWygalOzuvgWYEnhUZJF+XJ2Ac9FDF82gIMsOTZaeIqGBjmMzTN5qNKmcpOyUThopFRfP6LFaDksEh4ZWUFrmVuBTHCaZE/mZPlN2+S5RLDBeeuADcJSppnPaLjbN4JPjJ9cEw1KNEwC9zw40Q+KpAMgAWmEs+DrmBs+BYRPjjgly0MKzfPgVLiYPobJOS5FoQTGWYDQODpMnBil+OEeihJLM6jYnGW4ygxMoYd2emLDVeb7i5ZMNcG0rDvOCYBX7lxq7Mbgx8cjIEU+DmHD1sQPkuyhgDOZ6/ewP7Z2OtdJDhYswF5KuBux3jCRO6dpIs1qzS0shPRYVdM6PwBwh3rV+HzC/SNgSmWBMD+7m5WotNSEoShDqHk3cNnsOwzlsC1NwZo9S8+vvmtfcewdhKwqCv5JTwD8wkjXmBBRCD4Wur6ESUL4udmeM+bQ2K35OJ+aAjYO3nyBrtT8ET8Q8v1ZlBFi/MotmhwiPvUODYEHirWooOn61taO7HtiBUrCJ/YtHr10kUn66/g7Y/4qGxlCmh94y16assa3Ky6jlR4+47X322/n9QbR6xTwQM0DnUmjoNAdnlCvyJOQGZGHwaAcfvI+xGGIDpEDP6Qx7EizDDpw75srvqRzfQaLpcd+UGXzkh0kCUdUtpalrcq1tHDiJGQAMN18YFpEiEJ1PC7NScZfs0PUCe6GZ9YpBHkQhJGH2/MdU8PKFS2AddsjAvIIBk2eYEZnAdPxqX14FRTmFMe+MH1wER1eqL8H1zLPmbNkmehPIKLizinDr5kJ5909FlMczYfy9ArAk2brdqbCBHhRg83QPhDigDFcQb+/Y7O2bOS6XFI2jdTQMH9Hi4DuHox4qlu3b57/sKljevXBh0OHjne09uLu0My53WDV3wmonA/tZtRETajJR4HgaivdceASBZ5kFpGbVy3JmLD6Lvv+5E8ywAX7x9QgSGOvLcBDzlOynuejhfZv/f+/swAcEVF+bo1K46fOucZyxziymE6U5acwZQPcBqwYLSsYRnoVplW8EWFLqtI4I+WAeLD0ODwd7+3e+f2ZA85ICxcOH/dmpXnsUTtGDxP2ygTr3G8AEiCgeSOoCJXZOzqlcZ/+i/+x82b1v7QJ1944bknp1dXC2O8Q09v3969B9/8/vsNDTfSt0/jUT1kHkuKtuCVlN5OIk6TUAnsWcBqAo01HzFbKbhxZPTgoeMnTp17/dXnXnz2yW1bNkw41xkiGhpvfuvbb7///kG8GYvdLv3hPzYVnPiGjKXEtB2jIhKuK1CLP4IjmnRnZxdqOwQ5C1X5qY8VrINCn7GOzngnMBJgYuvI4PAYVkEfGCrpKykpKyuthD+wmtu0iqoyTALGgnUYix3q7+OrQvkYEUicNcstVkm2HV34PpwukLuhS2h9UAI3ybeb71y4eGX9utVmMAa3jhw71dvdZ+6C6iJhmy2vxjyTsuKRIrwp67jfGRxkyhNTLZ3GKo4ImJCBK+ki7BG7bu2qQIgIimzPnkMxBHGvLHcCtj++jEIG3GWcoROCR8UZ+xnv25saAAawqqpy5Yql585dRNwCSFgJVRFVMTjMbAKRxZKiujwK7M5K5Bx82eVkgIrdEgL1ZytQlXPqp9HNvjTsI08V1HySkhM+9CneQRdPKxntHx3GEtAqKWMHT2BIuK+rG2PAmKk0Z+lj+GhXxVCEWcPTZ9aOLFuC8fv2W3dARbclbFP6oIajv52GKeSVFdhiuL/HFm5N4bhEHg55QPko0zARsXcawl7FfcWlxTWzaiumV+ABGG1vqAeLJeYPeYQZyOpVfiJADSkPtaPIzYHH0Lyx1zrWf8bS1OzXfGMrKOXhM3LlPwCvj1KhXPGRilE0F28K8jfCAwXLGBn4pdoblnjFKtDdvc+HoUcswYpptYsXzMXCv3AHL6LorDgAZz/CMBFt24aVtTVu512Aevr6T11qvHjthtAAQEgJMtC4RxPlUJQIHKiDIIxAEcQxULR04bxdW5ObZCwjefbKjWs3mw2Tlxz0wTqCSBEcR/GiGcMqn33piWDynLra53dswLBKbz/ez0oExTDIehd1J+liaBJkillmcsR76tkzuMrlhwkY+j154fq39xx9/+jZlrb7uoDGL9QyvKGOaQR4wfid1rY/+fa77xw4vmPj6lef2vrk5jWL5s4qNCE4CIA506vwq5g/Z+YTm1Y1NN3be+L8m3uPXLp+izi8KdcPzsGPt7q8iie+FCBwGycSHB4itMW9tORtAwKNBEMPHxkeHdAIcDwAjGqM9UWBphsXViQpaFpSMTpT1YMcmYlAph8mSKnAwJeFU1Zu4VAVaqTheARaAgj+WVkDvUOyHN4vSV1EAJF3iSAiRlJRA+QyIyRIRcRLg4fHMGkSN9KOUidMr+Qy2glakqmqmCTjmHNl2g6qSYcb1I1MoJ4MDmKMORkARgmWlU7js5I+dADboKF3mvsCxClPfmlJsSoPFV80b9Y//PHX/85rzxw4fekbuw8dO3cFnRvU4LM9NJZEfzcMLXw0khXcSvVJQMLnd24AZ41KEvX2vY4TF650dnN/ZaEZPdiZydZxjWLLVIwAb1i5KIx7rV66cOOqpZiI39ePXUJIZSoZfXSkogqMCMcdHTg6CZWK2JCkIpbNMtPPIpLHHABDPGL0aKJSJ2EVktTE+5PZqLXosd0Ssgk+lwGvralEXcKTIpsb655sYsvTQxPSKk050BvizjgJy4Ml1Lc3sFHvFltPkFUOtWxfghIrXpTJJ353lGjKcH+0JNJeUciRpaYEK5kNMOHzWe95E5sqU5FkWVmaitMSpXgkrgdSk7yBj2l6MLReS1YCMXENqcjFcUiYptgRQVnExodi+46d37IGU2S5Ch0Gq57ctGb34TO4LqNAfYmkRWCdrbKKl3ZuxJU6MP7geD02qmfP5a1y54ChCBB05iUKpiCuFsuk/5mNicSIT/Frz2yrm1Hji7/oxp02TNwc4JrwpHIHCnAelIhRfKp14/a9JQvmlPh9WLeuXbZuxeKjZ7FbTlgnCSSJUPLwIapCHkRJSRyxdIpZgNiPJ6cxdDSTs+SRiKCDYxn703yXEvyIE05oLlfVBIJVXrn5DwnJuPEBuYAKlR9b9mJfdqz6G+Z2z6ipenrr2vqrjeiIxJnK0unSXpDRubPqXnlqS2W0vQK+WXn/2Fl8kOeLEW62ogNFIYcwx3JZtuhPUPH5/tBksRB9HDsplEJccKDZOIBP5Hxb8UVMkgf0wIRog+kPuQyfV3Nd0ayDlIbICVWOWF6HQpog32VZJKoPhUhMePbIQfo0hUasyZ8OhRTzrC++mF6iU2rHuR93HFYU1oX2eI9Z40Ey7TQaG0E+bvWn5E15YMoDUx5IPW3musPf2o3T1ZEI2darI6JrnhtWs04Q3Rx6dftXrpODJ4D/4pd/Df0k0PB2S+eiMABMfBsGNlp1t4D881/9H0APKl5JRYUBEkjnqKd6VIoTrSmG4//6W7/7W7/z+zW107FTVU8X1njoAYZGQKSOjEOMAy3QXz27MfjjP/0L/ExdYWWjlCnrJZEjK3y04LirPWuYJsRAzHCQhWTjjabP/+Q/oM34w9sbswW3E1SBwc6gccM/uokEJVz1+Z/8++JhiMmRlBpQxL2MDWuaLWQGe3igfozLRozTYVzzC1/8BwkLxaCLsYINmphKQl2f6Xaq6CYDkLHUp1zyHhs7e+4ifr/9e3+4bu3KjRg/X7UcC/hUV1RW491VUUnr/Y7We63YyLnlXuvdljaM8PX29BpxRodHnqSmMBwfkvO6y9WA6QPVHBQXDQRE90k0hNZkVCjGEsfffnP3d956DxY9+cS21SuXzaqbUVc3Y3ZdXVVV1UB/X2dPT3dHT0tb24X6K+fqL91v78iwMK6pCuM8jYmlKFhVHu9RIVMRqNLX2/upH/my4jwYNCRVtkxxXNMqDE2zMsHZBRgoK2EpmxvaCzSRfCIgST7BblaTIiyP8+v/6n939HaSi8CJLEYx5FpcPDRcMjSIRXSxC1xZZVllVQUqDYbWRqrKMU6MPXSx9yo+1/3F//zXpDa1YGPH62NORCVMoqS6xaQD7gt/+Zf/tSGYwsBF1RMTmiYDuZdiRWUlZgDjJVZfZ+9v/sbvoCmBpwipI4yCOvasqWZBQnMULZR0vAL76lf/DD+mFZTjEx7CeqPKg1ztHm0jwSw15zqeyNV+oMPGJPX1V77wYz+X4pVOwCQZRfaISzf7Ip1asFujkjwHthjou3Sp4Qs/mmZrrkkzJy284TVHtedOjBAEUXA/BdqfI5M0xlvu3vuhT3/ZQXVSlnUNSLuSAGNTGHa7CHnTCZMIBTSfBAdDTfGRPzG2X4bFzlEDxkajt5wBHVW4p7Pz7vWb2LKubuFc1GFUGhpVVl47u25keAnev3bda+Pig/lsQjUD8+oZtXULFlTUVN6/cy//ALAplnVKSt0HMjZNwXYxNDzQ1YuZVtUza6pqq9C0eka6hrGqVTqk6VAh0tkFUxPhjZNPf3EEGChqkTo5HxKmillQ8KQyJuQFxwPnrzDAGc4Jf4VKTIn+aD3w4FUMmLhM8WqGWoGl4S5dbzpy7grWBTYF8d580bzZG1Yu1QCwsU2YgwS/uXUzX9i52c8zIN29+53vHznrd119QFMdc17Wsr2T40AVfe1F1FqSkdVWV23fsHKe/64Lea33u/afqsf6xEbs8V37kwzy6+4dOHf1+vXmu1j52TCxTv/ShXM3rV585KxbX8fgOkoqeYV3oeiPkyQ5MthR0Ud0aOvs/u1//9Z39h5pab0vlvSRrnwoObbptBwqIl0AtzgjwBE8ILtIS1v79/YdfXv/sbl1detWLt60evmODSs2rFgyf9aMCQeDMW1iy5olKxbPfWbL2m/tPYrdhVvbO3UbQhfxAszrEqXjFJRUPKgRwKkILAgkVmwk4G2JvD+GXS8Y0X0DDRPOGO7WMBiWYoQP3SrLsQsjpncPjQwDjXqwkmX/01TEwizn7+0/cf7aTV+kpgLVKBiKi5YumPuJXVvWLn3M4UTIZGqBN4QIgaHpDxgivh451OQUSOhR/ev7PCIgS7kJMgs7aUyREk4qBVEef7hzTGsCFQQJ7NAVcB9Bp3YAp6RKgaBFJNHERETUzQKtgOaswnrADOTMlhZ4KoKCTFoegOKnO0gy8oNoSask8qMKMByLsX/mhcdRpG99cOJr33nv2s1b3NDVZhCqT4JqvhlC0cSE4FRzuTkbn6psX7+CXyT4cPZKY0PzXe0uHLxOPuYkVFNEUJK9fb3H6q88u2Ndjd8/Ekx2bVmDUSisuCkczzE6G0fP15+dr+TWCNmiabWhRp5OOYgLkRw2kwHkV8SK3TuP1UE8eXZVAnawo+HgZFFXNxYzwsy2FC8MAGOFYayoUMz5liwc9UjWeuBadVAA08s4CgMH8FAl0ykpUaEgzzSJsclbgXxSUigCdGLCmkvmRIHKuL2H/sy0AHCeYPWfLcSVA6nZ8E1hO5LOuOfhkAJRiAmiG2Ulj/jh0YSaOC+niMQcaFRdXiIP9S5OZ2YAQmpACFTLdrkJL8uUQwgcHT2De4477Zj7a581PLF59YpF87GkhB8cJVsGaqYwVrRx5ZLVyxZWlpcZoLWj+2T91a5u7Nhl3E1+jmhiQzvAoTjOUt9YEE7dDaQ8MXO5zF6/csm2tcttprKBD5+5dLulHZ8cyXbyNRrFhCIXdHR0HzpzaefGVbi1MEKMFD67fcPZS9ex7wbro3MpFTMEHZH0tpty5CtInASq3O685OkhGXxdxYNp0gTc9ZOlKivVSmaDS1yano07U8O0chmER5IMIhCxEEEcLGQFBI876bO5Gww1Ekjfqunm4UM3Ij92MV07iuVP8Nlc5bwyObAIc7uf377xT7+3r6evL6NnYLp9/aol82dzPRIfLt24ffZyA3cOZmvQ+1cTR4mTCCYRR/uB0iDgCeasO1GwkVgguHoP06wWRTh5osYxzsjw9VmxgR5GWVy8Uz0tlCMz86rrUKiNSUgr6xkAylrNJNR1ulABF+VJUfLOxyKG4SWwp3P88cACBcna2gJPbBoEes4ptjE7x+NjO0E2TaWyUUglCE8DYIlcrTPtCo6PeKhK5M2IkabiUx6Y8sAPgAfSLfyRKPQRsHwAvcYdAB4rwl0Wb5jRH7vePmIZKYyo+mz03BhW4JEQ4HoyUPM5U9R2DQqMBMWYBDtGsRSWkJBFyToS33KIxuuQv3PyZ0lDwonx+CZIUOSYpk4xjAzEVxnKMiYUa9KMetwjMKWSjU6BoUa/Zb9GbxxPKQ/2gS8Achp1kjyeqZKXRsOpd6xlyPRI4WzsVFi4xgKPPwJpEtKIih8IEB0vCF2F4dUCH7LRsxMM5PxEpHEg1G6qlPYpXNQvX7nedPfeO3sODPT2DrnPt00opdPRjoJsALC8j+RovOUBOtyeVKkAnetcxBT0cLcd/o4opRV1pqLFPd297793AFN7AQALHc0A+WtCG4AFH0I66wqHEikaED6nyNHOIc4tpoTUz8ca2cqDHvgL+gjVVPZUxNQ/x+ooGwKsEEyEyIlsSU+WPTs/aBSZimM/OswJLhounlY8OlQ2VlU5rRxr7pZhSiTuO0exht3wyGDf4HD/AGbxGi9WH1ZJqUOQWPoDpXvFYQ4H5KxJWQGJBXDMUsxWwKgzdnId6sE3wVj9RhbKBBhoQpBiHaWp5iNzFM00S+0oxu4A3Fyg0cNxqv6sPTTBURAdWuNkuiNb+ETIy8rRRfTEJBXPalSOg1lqbB13RxydPJ8IlIqKL1WW8lr4TLWO2o2nX8yEigWDEbXBadPaRn8nw81znkhzjzfROeHjYqjm08rxAnUa5sXii4RCg7gYA+5qa0eVxafiMzBBpMSNAZeWlc+cM5vrig8P93R0jo1kx4BR2fA+cvrsWfOWLKpbMBcVA/NxVQO9S02RRDGYgIQV8UTm5Oan+LhsXJ4xRN3f1Ycx4Kq6msrpVUj2jWJFzqFQUlm6bDpX0gNAJmKiuks/sGfLh/ywXgi6kesD1lzJf0DcwP+RRVxPkNcLj0zIFKO/Bh6wKhAqguvSx8baOrsOnLyAfWFtRizmqC1ZMBsTX3YfPmmT80SStKKqygpMQVu1ONl5F+9tb95pO1F/xa6Ak/BF1Ipc3yVixO3MI+L8rgoQHpDFUDQ2p27GS09sCoPQmH+AbdXOX2rEPQGIXCfIHoBXcECwQAKn3/Hju9HW+52HzlwOA8CAL5gz4/GNa46cSQ0AS54UoBrUQMrgFJKMEBpGh5X5SA51tdX/6EuffuPZHd/ac/Sd/SfvtLXptg22SWTc/5hulIqYvMOoV18qMqngToyPwSd3W9vx23vkHLaiWDhvNpbZXLt80eY1yzasXDyvrhbzSDAYZoSZI4aBMWa8ZtlCYH71G7svXW+GXqhU4I8fPI5fJCtDXTAZ3OypqbeA/KJOQHO2DfqwZmCedEd3D+a3xEwxtDB7Zu2M2mp898lbVF0NiAAVWR0cL93zBDoC8YL+0On6Q6fpSGUIk351VAEYSgAsX3xi67Pb1ykrPoDGcTFoxMTMgTqq3I45T5lAyQTjNSqfU3lPynsf1GqAWRVoTRQER9o9TUQ5ZOMV8JXEmpb442Y5M4kHk+y5Ug5Z6CDneYZObJzrs/yZqjhCD9LZ1RPqX1Zeil1cQi4KETro7h6EXoRjEnS2CBDycMdOh8fOX71y8456hoxvghwXQelXVZRhSU/smDgPH9TOwAbEboQJGKj5C+bM/MInn5k1c/r/++dvn7lynQOPVssZ0c9XDOtOnbU8eSWpZtGmVcsw/TfM4sX2pRhJar+P7UtFoaPFQIkKCjhvl1nxi89dudHc0o4BaSOHXS/s3PCN3Yfv3GvHI46zJHMSL8IknSlwDAIyyMqlL4XDFuEetvnNqgJMFTE18i4FwEdz+X04CO12gZGgukF1ROuhQWMDg4MdPT14ysNMUk/DSaVo++i5BFH/z8dc1/B5wnOv3Gwg+NtFQJAxSgoAiHPIoX6mixPJwkpkEdOyU0geaK8AfBZLxccdN54kgBaKMRsSK54vDyFCohEGvSL6fFGyQ/C6W3fqQPnwAcNLF5MhWRQEJs5Wxo3MnXEy3p7EMUUScGZZqykaPX352sXrTetXLuKX+UVF/JZr/QoMiWFyMLBczacwxwEnDKaiMYYJ9EfPXbnadBulb2zJn2IiAkcKOO8f5DkUMpfSx1tCVONUPZcLc6jHtq9dNW92Ld6tGTNM3Nx7/HzvALZPMoEUzihPPig6VjyCTzRa2p7BjsVGjgvpD7/4+Ne/v6+7F7MOiIR/1bqIVhDHDTINw145ojeAfiBQ0gub/Fmm+Oo6MbmzPELs6Or95p6j0MU/gPu8LGo27fGSc/OddrzihV0s8cg6vpRCi5T5CfYkY2Tog8WtoBBXUI00XyeInsBKKEn52OjYkTMXLjbemjtrRhja37FhJdYJf+/QSe5HDqWtAssokXESeXVluWfB83c/ON7VhWrABkYz9TNdGC8QgGDdVBJJpCRksA6vvbDZLSIxp2n4GJ0dCS8ZzEjnxpiK+0qf4mFY7IkUdPaJaSXT8O2gJ2M+vszDFg+Ug3/Jtm6XeWnpsj1vhSF3Mkj7JaCCIQKbBc8KIc+SLoOnsmmos6nsrp5+3gTrqgZ3sV0E54IgYUpeGX8SVFS059j5m3f5jb4lJzimhAdcQnvRrQzwg4CgYNxIzasZJ4g+9rcAOpjiTpo5P8mkITHzKOevSTRdLn9NlJ5Sc8oDUx5IeUAPfmjM+btFDADz5oBjt3Ev5xu/P5MjGOimQUemSWAIxtsY2H2+QXgpclcPdvlAUMoRAYdovFwI3Z3QcTpJhILKpLhcu1l3RCIDEgOuTuRPatKIB69YvNooHxDyMoE8jhNE5/PFCre1dsdEBoJInnAgzXP23GNa6SV5xNIYK7OlIyCQJa84T3nKnLNTQ/emEseDLlc4G7uCauQwo3RItRcYeGVH28BLk6aRB9tAQseZC2N6UmGZZayiitdZ0/gJgb0VkiUyyhwU03w0cdlN1lbCikh3KEg3yQh6l4Pu+MlZBDI7EKd0k095UH6IGCfn3hRBbkK+49WfapGDJmJCupMYNDNfBd0tmfDzGUFRp5LH4znkiYyyAJOZpquMVp4MFgcRTWQKCfEIT1fJXTyOjg4VY0naMayeXFY2gt2kK7ks7rTq6oqSsfKKwYG+suEBTAUZxlRddCr0P92ss/xgDzNU2SxBBBjmLsKUQwCCS+CDzmncgXgaFp3G3sOc4ols2Q0BnrWqLjKcN0gr+geylNIsBE3kwow+QvEqUoUkxHEHlZLynQFY9lY0SJtPrDI6TX1JeqEJc8bkkTQomxJ/qEfBOkmi89SEDLwAEiW2JT4UUzMzPmaVyKQ91wz4YZIJqyQGPtAXXwYUT8NSz6Mjdmefw50EWNV8aOj+3XslmLBQVlpTN9M+kECFLKusxMgua2xDY18H3hW6mkMibB1dXjZj7uy5SxcDp7yyanigv7yqiuPH7MW9pBAhwBIpkMcb9zw+xegYWlZ/Zy9Wuq6sqaqsrR4bHu3tHMW4dZbpuHyQqeLD2fCsMNM8xuXgUckJn3RhTBpndP98v2486UGH9UCcPMd8ZzAi30yg7AwoJB1FwfyAOOlIrh5ZFhNjZCn+NqXHK7W/6X5AV49pNKcvXsXOl9Or55u5eFmJ7SrXLlt87sp13LWqotsRDen/Z+/Ng/Q4svvAr+8b3ehGA2h042jc902CBzi8yRlqxqLFGWl0WBrL8kphe8O7G3as1hHeP/aPjY1Y/7OxsbERK4VXsixrLY+uGc5oOAevGR4gSIIACAKN+2xcfR/oG72/33uZr7Lqq+/oRlOaGXfhQ9XLl+/93stXWVnVlZWZmP+5ds/W9c2N0fzGw6NjH5+5eP3W7QeNFi8OeUpwlxHrLa2j50teWzEtTX9NZdXW9R3r21eaRfhwvOtS990+vQR5Tt2lprdiJPnhkT42YNzYiXOXMRTYZoHGdNZ4B71qRUv3nV7DZLMh9y0lWHjkyUQWdJC5ZHDLuqzRKQ58zSx+jz4ecwltWFN97UM7NmD2yEd2bf7Dv3jt5LnLfGqhrdC2sy5niE2cni/13DdSxo/5QhQWAYj4SOn+9Vt38Hv9yDFwGpfUre9ow/p2e7es248O/xUtqSODMR7xF544gIG2//6vf4RhXTH0OSd8MCNFeXxiGTS+JLTj14uAPztyb+xu/zDeNlrokIveO8wX2lhfh3HhSErUCGKE0Nzhv99UgG7AJuIs0aMJcOQddSjslYhQgtfBuIEbi4QoCUe1mA6SINUQymhZwnJiiYN1wycJcTVyLACLmAEWbNFh/82CWcdyCTMTWI93Zsb6KasqK7E2kOgmoKKkv8ogZcyoQJobpb0f4jMSs3U1NSySWEEAAEAASURBVHhq8GysfjKDN9dTsqirdgr4LGJI0TRojh0U1nFu9Q5+84fvvvrmEQ2veUXn3H9BQNJFnVwZ8tu0bf0arNz5hYPbw85aVKrnD+2GT3/4l69duq7LhMsDs3/EV8MOTBNRJBjpysrKJw/sWLY0mr32Tu/giXOXhjkBlXdGFWWvzQxIPnqXzHZdunb2Sjc+s9DeMvCbGur3bF2HLjR89wBhbREMgJFSB4DNC0iMuJbKsE3cE9oQ4IRJlFj90eoCwPEhhgzNFZXgxHuIBTmyQM5/BAc2+eTPA9BdRcIVoHMBkJfpvtM3NolrP6pFYGJGh5raaqwhxAiiDPrnB5p/vEZgmcwECICrTRJ+E2jxxVlXrxg/RkU9xEwYne0rdXJXciXy45OTZy7fGJXZxfh3YFQckZAkhFEWlkrC642GR/lMVswQlQYxclgNm590XRwNFVNolQn3Xog8qSKekXWkn7wU4QOEaTohb0kQQqudCAhp3L6RJZGmw5OTU0dOnj28b5uuwYkO+4M7NmGui97BYdqCGVdEZw5jhQ/u2NDYEC3shbk60FuslhBH2pVTHFkNKVQYIAmmhF9OOpMBEcqzjPiYvPr5x/bU+pH3yMezwYmzF/H1BqypaTUqpY701fljZy5eun4X0wXj5qh5mK0ExbzdOzA+MckaiE12dvAQ4NJNqTrekOQxAwT+y7Xp1Z0e44DoAdrVdohrMLFXJnL4D0noiBgJv7ky6UH32f1afUOj/9d/evVmb2/MMy2DLxRtCL5j04AzpAUXQXDoLP3QtBehMGhhiqrLII3N+Josfo8iSTyIz65X3dRZn7IjvZLzEHFAlQwMDb/3yZn92zoryt0CKBwEvG/7kRNnJkc4thvu0Y7sob9l3epdG9eEq7bhWeW946fHZRZxPo+aI1STn1mME+aoEUG+Fszp81suDi/Wc0ipqsoKLIohwYck/+W0JGUIkL1gBEY3sZGB/5rAZxz11Xx3EWxYkwWXBkWii9oFJ5ASlAAnnkV8ddf4UgpLEdwSIe1uFi6Th2pc0sF3QuDgFowqCCJwMkoarIdyWMYH8c4np//or76PJUiIkdoQSLvnGj8FCLw0Us4pvEBxU6yEFumrbOJVwiQzGC7KMItYCL5rw+Vyowg3MgvaUtHF/WIEFiOwGIGFjkD05W8Kcklmkv13s5XoAebSqU7EH0MN8tDSyUMT+15cMxuIsKWT5tAaV5UHk1m8KxGBEI7SI5P+BqEAsndiXouy3Fx76g7K0wzBlhuEmKOtmCWVEgDhB7qFSN7PWQLo6XOddyNQJKbdakK+PgvqTYSdat44S6aFtFIFamkkzRdwQwKZHZycaLxxoUxy3lgouVWLr3K+5A8oVXZuy+NHSVlZCTqA8bXXBB4/ZqZF3QtAnEVbyE3dixAZiLgVWoysapBYNGziF86MZnOPM+IDTwG/+QIwhhJHZqg2Q+PFch7NvtQRPo6IB1CFrsRYVR12IB6H1wzRcbbkjytzQAg6ZBxziUquqIJixfaiPIJpCimE8wvwUtn06qUcM9iXxtGW9/EH1r3ySjzwVt0vwSIk+AussmIajcnUxMQo/jyfpgyGDYu22XPWnQViguOemNzJMlnNLcEDZWlF+cz4BDqA+bjlTqOowkGElSa0TLFiaSljLEKmbUl/JLRZ/gRS9Dn2GK6oMQmwwjQx2WzatRYHoJ9S9JjDMYA0zwMeFOXU02/YApjTZkYgF5HGdReKFDvKRlI3O+q5kaQYCWRjpAHHuPNKRFARZUDwBHWvrKQM7zS5ALDfskURlOmJif6bdzhiuLSstrGB8UHNKclU1lQ3r1qJPuCe6ftjo6OKAX55FfqGm1vXrl7S0lRRWcWaXFbGl7XVVRPRwkIMrQ+IN1/kUTWzfc1Sp5sYtTM2WTo4ijfg+Aa4akkNyjtxj6vvutOUjhN4585iuhxt5s7J8kgZWAOYFQ2f/sc7DCIsbz4HQGE2a9yc/SoMmyqhzhayVig/FXqR+XMRgQKVkVXD/VdJvJHV6XLY8dPd03fs9EVMVKehQNcjBpyh2+/U+Styq4kqFi6q9mXNGHobBg3zP//ko1M6sink56EVEXu99P2dBxrOS1LSBiKt719ICI3kkvqafVs3hJ3QQyP3MLFe2/LmpFEa4B1H7rm4sYEiEDq8T567+uieTSqPHqD25c27Nq67YR3AYpXecGMY3I8v7FhWZonfEiJJYOc3DNr7v//z9z46fQEMLaPPiY5EkA0CcA9vEluaGrd1tj/3yJ4dG9bIEEZm46XVUw/twKiOP/iL17ou3YAWm57EJljYqTPy6KESkXdmTjMUQ5lxPMIMDg0f+wy/c9987W2Mo8WU4E8e3InusXVtrYmeYLj39EM78e4e44Dv9PUn/LIk/Ehx27KF8L4a116Oymc8ZCtHhz6Shgoic7u3H/0BrUEfG3ox25cvXd7ShA8TxC4KJVVAzpunCUDU5GZMJRLJhDRyZ6srK/27RRF2GqxD8uFBGGyoa40m4bG0LBAzjs9xRwjgWQhFiBGSmUfLQGhRwgt8sx5FFVnjExiDElu+AdOW4q2uQNArf/poTkNp6BphwSfPB1wtMu5m0lQgjMcjjJBLVCfM5o0XxxAztHhMDCk9ULiQdaCTaAWRcSS05DnXa8sVjCo0gymj8Hvzo5N73uz83a++iCvOOsLh4WN7t3Zd7kbvMtZ6tBmMAMnTxUNiEye1cchk0K+8YW00ey1EPzpzcXxyunXZ0rCQCQhGjW0V/6g4ffEGmlztLYMYWoaHd2zCZKT9I6PiQ3hp+bDJkbWKPuo/pbSG+fKLgMoELP51xXrmc/WIpMmASOTGZfOmDCWHlC+DC48k3XnXoVYcIy4geLq7gQ7grGVHMEFFfU0N6im9FElXYzGTjg7JtJjJRSUyKW5JGWlaC4s4BqVG7077v/rGy+tWtWo5kAvJtz86/X/8yd9IBzDDrkHHqdRSgONK4g45QkBNsevs4aAXPuoFspDETx12ErmA0viqqC5pvuNkCZMPP+QS1us6S4SMuHo8ZQp6yrRxONl1GSPn2vyw+E1r2nCLuXG7b2wCK1v7P/o8LD5AWruq1XpSr3T3fIL5n+37Ce+jGUoQnDxB/iTWsyAOOJHApUhJzwwmw8DE1JgFwTJ+fKwL4wpWLGuGX5Dh2Y1KalR0Oj46ff7hXRvMbdzfn9i/4/X3j2NxK8OMEwTheVW3HD6rHDiyJ8Vo44TENZliDsSYyyTrCVsR0sxTkgSSxjcgZ1Ok/U6BfCo6yiTmxNSNJgQ32kkGDZFQF+iBsB0rtQyQ8K6Z7MIT8Cr8pRoQz6MyQobFwXb00zN3eh/Hd0vakCDjmYd2/sdX39AKyTMl9zstBpYpwXBhk4TwibOXsf4IBiOATkzhAF0w82xozqRFcyIxaSTYyAhvNoMFRPDyPJoVAZ8NLalF24fsPEbkBEm9cSfLTphvAcVy5KfkaxKr7dVUu5mx1b9bPQPTM+yHxiYxcRVAk1ZMVbfknAirK0aYunEMH1N9GFPFegaG3RghuZgRW/ONWkHpDTZB4HGDdYRvGVzknQCxHClAbkcWkQlNZ+xkqC2zKAJOn7TIS9q9p3N5yYPhaQZcYGMaoMVTcBrXuFlNoi2mFyOwGIHFCHxOEcjXAYw2CV/aoV3F0CI0lNIcp7ZTvpWVNpKNWXaDxlaQv4Q+k3xcEhUtYkwC7Wb8AUjaeIiQy/Y8Ju1ilMLVPzlwO8BaCOJGHDUKbopulJlC+aLTDxZE/jRggcJNnMyB7EQZX1FJ3D3AS1eEdErZwZLIZLvhhdPRQm8jmjo87zgJoMQ/oQRL79OUiBQojh+6QjAFcHmmvCQzjpADglZjcqHOAtKwATfF0+AkaDpmhs5IkFg83cQ/cdOdikhBRII7OHNMXIhINp0KXXKacFCCq45moYChSiBcpqWViP4scjZFzO2cSpY34LsagiwrO2hfvFyK3p0IUaAkiOQZQbdngDw1PTs4MlWODrWKqtrKSkz0hsG6FbVIVU1hxOLk5DgHBGMGaf7FRKvyX4uGvfeDVgSejLjDmN0X7/ww0BCrrWB+aff8BzHV5mOauKWYwpc8B+0tiIEoYXLZJRZtyXd/vYk/Cg8Ax4x891AqQW+Uk3DIiSEKLhIocSiSfWrCXG+k4BHhCN2O5JNlj9A13t6+dz/SJCXa7vJOIpkkIJEXAVvGvIgIJ6KygfDREkb0YpJwfI4wNcE/9tQLk4ySvDFkpsbHeq/fQtuFuaBr6jC6juBozapra1tXt2N8ec/1bkzyjDX5UJmbVixfvn5NXWMDKqHDKSkpR/9vXd0kv7qVRXdoiSBz3lSpaFU6MDMzeW+ytPxeXWkp3JtpxKj4mSkMgCsWJK9c3szU0qHOaLVBpculnbO2pCIuMhcj8LMSgQI1GxcEnzt48JIDQyOfdF188fF9NoayeUn9oT1bvvXGkYHhETQjdqtpqKvbs209+kotGJjk7eL1O5+duxy/1Dy0yUWEoAXXJdKhdJSjVtmJ4XuqIHofU99n2lcsQ2dkBJkBp+Xf/je/HHLy0PJRyCzGFZkM+rzRX/j0wzt/hKn8MIM9yyyZ5g2SCBqdsSyh8eYH3mf1fqMB7BkcunDlOsIMOQs1dYLNw9OY0m8fPfHXPzrya19+8je//FRDnRvWpn3AV7rvYogzhi9DUp8fY0hhYyfeulzB9YYCDQ26FFN2vs3UhN5a6fns0PDoBye68PuTb7/x3CN7v/LUw9s728N+Owy/e+bhXWev3Hz17aN4pwlgta8W1KQyA/NJ0pn1bEXQFKPObDfRnpwEMUEmq9OdvoG7/UMYwq3yul/V2tK+opkF8I82Us94c8A/qoYPDj5A5Ks1HvnYEiTJUgFS0VaypKEGSw4rQ1U87Y++jkPdI+iJgQAJte+zVCvao8hwGf4KAZo1TutAwcB6bKI563TRrEtUZzOj4xN4hY1vI63js6mhbnlzU2VFBRY4QdSg6wOmD7fqHk+yc5ukbMSmDFsazaM+KU2pVH1dbfOShnDkNIb/YnVPdLJSzV0zXk209dRridysACGi4mo2aeTRJ2/cZ/uj8805RSB8yvnRp2f/t6ERzCv+5S8csFAsa2rAFN+YYwAT3XPYFmQVW55rPZ4efZGRgoHZkoPbN64MZq8F+9mHdz26e7Nv1OLaaSlMZoTZqcOcrZ0d+N282zs2PiVnhc5j8yXytLKDky0uiWhiR1cdCIOGiobr2J0CiEotCwurxU+ALEzS3FA4JPWHpGahFhgn09M/2DswEg7ahlxba/Oq5S0Xr3VjMJxvKqGCp3JFwJO181WpKO3Y7iDnUjOdomYoH1cHzgs+/lDHwITQ0Mgo/iAUMSgKS6KHPDMaGFHYgBEn41oQ5r07DSeulkwlrdBRt3nKHz3fqgMyzChpExDCqQlgFkQkKkOAfRLCl27cRB8wvnZCIwM27iA7N6794ORZrGztpdwRHfaP7tmC6RyM/+7xMzfv9vEbblRS/EPNlX8mYASjT6dwU8LEcCBwRiIaZ01OkJUu1Ct5bM+WpegzC8r78tMPvfj4Xj2jJpqHwARhdfGB6Qe2b+hcvXLozEWuW+WiKldWAsXVG15vFMNemk8WheKJUxApS8Vgrq8hrl7joBw9uATFIihfVyM0F7yIEaPkjJshy6LDlvCEcULfkIkky+Q3TaYieJE5HENkpW0fZuVE1AJatpUX30p2Xb6xGmO7/eIFmHD+wPaN127ewZzkVnzUE/SIvvjoXgxEMBAQ+HBn9B5mEXdPMxCTzV1uCaOmCI9DpxEpqfd6AsMcp3Htdk84MT4+PuhoXVZeUZqZSCCZBasM9iYJWUQWG64hU2ln1fuKJOSwyAG+eI/gMhl8ljc95VZeUz5KmtA1eQ9mDCGynOX1SKd8mHllyDUKpqOYqZe9SoKt19G69uWl8YnL+zmzGv+moFcQkgdFc9IZIh43h6kJvxem9zJWBhpldY+2eCriW+S1JEGGkHpVJLlFpzVaUaFYqsCTeEpRA+GizSwKLkZgMQI/rxHQRmShS+c7gIPmKDQhzanLS22mQmGlKY3//h6hLbh79MmWFo6qxAvIlDOs98BYNv8O1+yQbfIJO7g58tkTTuBPdry9gk40ntnJ5tJNQEXJ0LDn+oIkwZJpLZHXwlEFCMlIOWgyszUDrVSSDwLYGP+kcjKdqh8yBcq7QWABd+5lwVMTRhFprHWBLcNBnog4bu0h6OdJq2veQYtkLpNSNCmTPKFE8uqw4UjSFyJKeE4ueM+P43iuO0V6mtxZ83mqYfjORZ+bGnlmumvC5NKIoFokToyZy1KzAsRzDErPsde3jmn0Qcm7SPRETWJMQUVNdSX+IMMze0UtpsytxrDF8bGxkXEswsrnP4Dgh0IAx0OpPUuFDmPsQk1ddVlFORZnneJMBcFjrvdXFPlE6TdSUcpz048AoTfpmcq2VWFVEMwUccNhHhL5NlVnXB0QD44EVUA7H7LmOXy5ICPYSI8G7KySigvFU5EaqDxZzu0Hdp72IpCIivnhE/hzooRzQlbg7M+gdkxO6pjqpJpPw380VeOYyvLa9ZKy0pWda9Cbq+YwkrW6vq51bQdas94bN1GBWzraVqxbXVWPCZ3kTSTrLec8xpznWIV3qE9BPbR3qdjjvPT4WhaLAY/cw5f2dc0N1Q3Vs/enR+9nsPZ2XruFXJ2XM7DIdSP40TXnC+V8bZ/zBgv5amBB63PycE7CBU0vCvwcRQA1PvYKIkfRIGNNKxsP9P2MjWN6YfQv7tjYoUpYQqNjecv2DWvf/eRT5SgyXnjv3breBqciq39wBNOgDY6gn3hhN1b0sDh4KyFNMIb/1u3bun5lS1NoD+Ns0MsScuZK49FgbVvrts6O410XA10a9W6oA9oJpe5xL14FGklSZcBNNBIGSwVL4LH1Zs9dTCuHeUz++a98yfpZa6oqd21eu3F12zEZVSxohmwEkbw/RmgYQxla9Bu8CrPMyZDpZG/d7fvT77yO1Q2/8fJzWNmuIXi7jQ6YQ7s2fXLm0tWbt+WFG+qie651ynzGMnBvPDzSoBlltZSUHBhy6S/TOqBJ7iUXHcC9/Vdv3R2f2GDhQh76DLas7WhdugRdRPrHA57G5F2lIgcXAaS52UkgqRxYENIlfU2QTL/D2JfWpU1VVW68TaRJSPGSdoP+Pkrgv5RRjDoTDJEHtaMKS3+vdMvhb0lcwJDEO1kpTqHAxvwPgiYF09Xr6Mzg0CiGv6P31Q9lziCYuMoaG2ru9k3CMYkXJNnKwLC66uIZ1G0LIuWgBWgXNSmb7LRwjXV1WNfTzIGJjyl7+jD4nHMjiwGpnE5FYEhLGVxBLEwJAnL4iTodgPNW9xRO9+laF692/9nfvr2iuRE9TyqBgcU7N67ZuWkNVirFlAlSagIKshpyUFJWcOgtfijg/u2dS/zHASqE72zsUxunNscDO8w2rfno1Lmx8QGoitEEhCsgPwfkRpd4kJ1wkjtk8ay6E83ckE5Kf15pX1kiV81tZxJe4YdN9rMYToevlIKri1mIDzrIj50+NzGIG5M/+XgHw0dlOXGsHPiHi4f51EndNItOiQz7CmFYVUqWtzRimvSE3u2+IS7ASXypqSR4DqjIPS9XTSkHV3b2xiLyM04YpknpvKSUniDPgSaMpOnHEF1IfWTdJY+kcKieiJ5qq4AW2DzJChUxRIYYQsRsS0KQnJ9SJCnGu8dPP/vobu0AxhPF84/u+d47H2MOCXXGBz6zvr1t+4Y1dX4qZiys8NGp8/1DnNifUaX7Ug4f1Zh5iXWMEyU0elFaKIXL4OMhdEhbD58KYd6RJRk38W9Crcgk5lR4aOdmLJcxOjYWjyTthptECM0syyZ7ZEZEao31gL5xZv1G+aXyM0yO4AFJqf0avsCuxkv2VAGRdEyFJeKSxXu6EDziP+woiENNmqNxEZUqRXESbi9JtSlQzI25oMIOOu8hdNxoEMkfQNKLmBMdM468cfTkY3u3WPVA9+rhfdtfe+dDmdwbJjTomd2b13d2rMC9w7Aud99lo8R+Ymyo6dyExj6fHxKOUIAxlB/A/TWlQFJhbt7pw31KGG63um0Zvmfy5sIc0jxNssn5inH86XUCKgYc1iB4IP5Da9v6DguIyly92YNPYbR7lfJiwgiV8fuwaJ7Ho5bRccQDkRQoJFnDefDeq6/kizIrj0NWDzHHmsOSw/U7vXhJyEqh7kFWbXhvQ2EBcmgJPrhmyGUJgkqrM6FKQTqfSooL6XgQdDgIQhR8CrvypustchcjsBiBn60IFN0oFCrWggEVMoR83xan2kxlOlDk5cvmTUF/1gIW8gYNpfxwV+PjibabaDZ5+8htymv5djavlQhJ71nOYlG6sXLn9gdioUtWEFVXB5LaLDHyteCu7Fp8Z7SYQxZ0HjcK4GVBSZnEPb6/cSXE7RxTVvMPOPn5ciOBkXe4y5fi4Qrdclq2AhYfPFvjpZ4zmo4qBpgFkrszC8Ti4QziidiVyxXQp9xRSlsY3LzQoEUKluFqi8bRqo63FkTW+SGcXHSEn0ZFNl2uOmX7LB1VwD5tC9nwx59+ELZJDcGZmMW80NNjk2MDw0O9A4N3+idG76GAldXldUvqm1qbGpc1gUCvmynmIswKv+EoKcUCwKiAk6NjU/hrn8+Q6afdtJTIBR7xFQfpsDBRtqPogpDY8y8An4wEYziWiPJzUQpl+1zlyqVekG/IAeHaIOiSGTTdgYwrYyon3egcCp0O4LiKg33RscBLpiqMDq8sxYK4WI2H95GEhSzfUC7UIvSh9lztvnP1+n03hgDcWTRpGF60onP16h2b2zaua9vYideH0vsbgKLHubKiCkOHATTXzQqY9LIwkJUD72JmJqYnhsfGh0ZR/Bq88mysKauq4A00ZVNueh7FDTdFtzBLmwTezLDlNlIYaKElxCNp7nMhFwpMLr1F/n+FEdAKHr/icXMramOb5C8NvA642zf4/smzpokPSla0LNm/fQPbY4rxPybR6Gxvs04RcPCQdatnEGNDIaOGIUdRNOIguONRD+EeWTCKl9w6/FBegguPSnj1jbZQRZDDTMeEdElm6ZL6h3fi7VtstEEIPj+aRV6G3poNcv+h0/RAvPcOENhxZNoG0MIgM3tTSeU7LVPPImJimMFvcAhrIl64fstg8fIOCzOvXbVcAx33jTFSZ7APOhuMZmYeH7z1ZN1JqUyzGXTy/sE3X/vB+ycwt0Xo3oaOFWvblhlngQgplmChyBptv7dk5lZPf9el60OjHFhjG3oWt65vx8LOfLTmFitdStG8phhCIjItOYmkl85kMABoVWtz2JHplXOqZIFHaJ8bxSvKtiCY4DED0+L0DaD/N/bNVkvTEix0aloaQ40nAigEopoIrD56Q8kF3h1ELAw7LmR0z9soWyjc6h24zVnE6Q88ZAsR+By4oWS+PJEIBQRToAnsiPCiMCYzT5278uFnF8I5sTEDM64+fFUAOb3EQEBUaNNVx4XJ3NntG9diimCbBjarCPNkoPV78ZG9bctb8BGguhEvkf1Foo4hU1zlkUT2JkVhwwtCfiqIBtc4DkoF2PbHskKxQrSc19Sd2LMc3gTwfh4bvBYaB7kz4AZBz0hjUoSrN++EbRFcR3z2bF6HT4X4BoDuSInZsktSC+ezwNRKnL0XXSpLFnH454kk0euzfX2HTdIgBjK4fm729E1MTMmbB1YU9wpCCZbDR5QgKAFLprppeyroT4IAEVf1hAnVPLoOL4dIpJhDgOp5shx6cQeWQc+DQ4Tjs5gL9+L12xiirRhYInfXprVYuElFVB5ZOI/tK5ZaK3Hu6s3PLl7DQGFUAIlG5KSpFOcUpDQI2KMi6Y+Ogb9tQ8e69tZEd1HRsDkFUWdeOnwAn9SgCllEhEBlkAaVlUv8YjVj3dE9eEZIxaFUYtO4gUnCwXglYktp8W4JEswlkfgp07IS+JYkgt/0clKOoiEnAZvI9aopx/Du4LOlJD6xQMeEg7lQ1XHLVS0U7/6Rk2fu9g2hxlgexnavX92Gvl53SePCLskc3rcVC1cz9H5788NPb/X2s5IFuiHtBXMfvRcxCWFao48TgPWq+wZHQw/3b1m/pK6O92JFSNu7WoKDnQmhWX3kJ0WhJvNZLCEysw31dRvaV4aTeQyNjHX39GIiHNQQ/Jngrn6p64lkWIVihfIVyZjqMl2RzfkhyShLHdV6Dh9lgzgma1jbFhsBjKlG7vYOWIj0LNi5MMLZCs6Xch50rx5jj815r5Byg1ESe19YY8SJ9GziicMGH9daTC1G4KcsAlpTf8qcWnTnc41A0OmC1irRwpZkuFKnfEcT3Y2iljKtvrDZk998vI5pZrszH0joGCraY70JRg8Dc4E0nLkomWyKNln6SKh/UZhsQECm4JYCXVAnS0BjEjMHlv6SBixDb/QqJbT0mmYw9I7jv2Ywwy9XZs2ytYAMdRuA9FH9nJc9xcF9X279LKB/3nKEj0WxvqsvJh05FcvQSEKKf0llbyZL9yKIbMF8HAWZg3akkKIUZeazqXkqS5rfffNN88zk9PTY+MjgyODd/uG+IUwEXV5eXo2/OBvrlyxrrG9uqKipRN8VrlRs+QyUzJbh79EqCk9PTGEe6WTbla6cFxMqkcfp+sotLOUk9FBYPKexB1DNiZnMoA1nRw/YP/jmEB8YaL6e8bKtwCK0pVi+F7M3s43Scimg0lneQQq1dHxkGH3APZex1qOTw98y6JyoxavY9rZlq1dhoV/Ax7XRlKMDGFNAY12iufSLqD9xrGJSKeWQG/jMxOT4IPqA8Xl7SXVDTVVdVWl5cJeP3l7lMJKCm0MyD1uig5UA8X0GZni3MObRKJiFcMuLk9yCiROSW3CBc1wdmTfqg+rP2/Ci4oJEQOsdGhy3GeEZuY/RlYGrZHBkFENLMbzG5HFjxLvXjpXs0pP7IVfe3b1lXUNtNAgGiy+euXz97OUbosV3LXx4kb0QYJNjmIQKE/INKF+/k1syi0lHQSBJQpmcLUfekqNxBE5pZXnFprUduzevjcEsUAKz+GK+1hXNTeIGQCVEdEl++pykNDKt05V8cLO28MnaQBwRR9b4BjJ4u32np//oqfNhx0ZzYz26MxvrdKphQzACDkjQvN3aqur21lb02Xd2rFrXsQr7FS3NmNHXFSf0RH2XBx+2mGk/L8KpC89f6/7u20e7rnSHZV61vLljxTJ8Gyd9M8wJcZQZcrJoaaxpWnt3iAAt/JTAHiqSpIAlwZyamr5w7daVm3fJDbbt61fv3bYeS8JoJRSLWhtdT1DggzMKDu1IBGAlOylZjJTbMiWrV7Zi/WzrojD7oecKpbBiQItmJQUY6zmNZ21hYdU375gLiMLm2mepuOgBRJCZJDE7i3kjb9zuNfv4S2rNylZ0euorSekmQyZDh82SElu9zN2VLgLkqIxP0lv7IXfjmjaMaDdzIO70Dt7uHTSZgIgFSt1GLi7B5BaYUHUVENry4H3ih6yIg5Nxb2wcnxRcC6NRXtba1NDYUE9Af4lRS2k1gBcWxJEuYn4xU/bUwZ2tzWEPetLfeafRFb13s7bGMefhkmswgxLBijLFvTSbaG/RerAsru2Vc4cPqTXpmD4XwmiZw6y50O6mIBaTNHwzvn3aSg4952a5CLM8W85mjnddwf1Ls22PWSI2r+3ACF25H4FNNH9vAoUkf2T5G1YA7qxALMgN6ZI1K1esXLYUp9gsghi+N3b9Vg8Gsqs5yRInSZnnSijH9pSwLbuwoo58lkJ+LhymUhzhtDx+cUpOirpxxbn44GWBoFVxYHDoJx+fweLxCo8++4M7Ni5taIANXkWQn81gifBHdm9paYzmf37n2Jme/gG96OiMOqTyaaVhjphGoxHQYkFGV6OeJ37lZRW4bLF0axreg/LwOcj+7ZtwS5LyaS8sX/z4JE4u5njAR+ZkoprqHkwjePajB77IH+GFVctVV1+BwyRrkd/AtyoaoeWlJKB5JR4gE0X4vDeNku3TzOnbRL3WtKFzNIRLrly/ffQUBvJGH8BhbPfDu7ZUVWDiLrSEbEVXLF366N5t4WdhE5PT7x3vwihh1F62riJGeSAzorpPc8bxRBKn2Z19JLU1ECReLvabPXflZndPP2bBMzhM3rNtw2p8xBmIOXmpZt4+UKU20goNRTWTNRA/1Bapn5Ll6icW8Mb9KJxgGd+Snb98Y2qaU53rTy9Dn6QV/9MrFMnszWQcIZXZ6YaNs9DWNlI4zEUSA/qbl0j/tzfSPzR64fpNfoKqJwIl1RPtb4J0WH5C4OykekgZa69cQKGFTdVxlCZI92qcdJRvgkrQCkKtP6VVK21P11I2Zcs+XSBFZ5G1GIHFCCxG4O8uAn4KaLOIBsvd28ia4hyumD8ZLTla9rztGDJzNM6GnZeIwHM0qHm1UzMNkndM/Nf7QKpobqaB5BbJnxMDoA+hOBKxdJhXmH4AVQdu/hgUCT2RxgInpCO/YlxCMcyl+AgN8z9j6B3e/XNyj89hMwcVfd41JoHzgJ4WKGqUrWZhLWLF6ShDJPDYYypz8DFEL0qtkILmF3IlRAFtMaYLfC0zm5nAlwH4TWJYcDmmha6qwDjFqrqa8pr7WL50cmJyYnQCc/Zixl1oB62RlgF/LKJvjwudlpWXzkxOAQajPIsqXx6h0GkRM89NKUvEcjwRSUSUz5vj8YEBCtlzBuKHQkrF5C+U5w/oGQaIV5SjD3JyDBOQs+MiuqbylgKX2v3pmbGh4TvXu8sqy1s6VvHPLTRtspW6adCAl1VOuctUVldX1NbcH55Gy5dVdQPDWdpBXgEyqRpP448pfFeBQcDo98U1UtNYNzM5Mz6M/uC4HI0kOfGbfwE3cmbjWuR6C7gT8M9Ufgb0wFen2sr111/oSaHGKZTNTScDk1tyMee/1ggk7kyo73x5IddUntt1cInhlYUTJFVSgtdS565e//DUhace2q5BRffPquVLt3WuuSr9atBtaWp6Yv/2cOhtz8DQWx+emp7GgCd3PWuzo9B6OQQXBd+T2Aa+/sBRGX3Kl6aCgiBwu9UsUQTvflN97b6tG5obuXCgbriZY6yDT83tiL8taquj6VhRZCxvjHFId3oH+IoG93pXLL7EQY8HnwnEAt2zIntmwjYERJ0aoqVKSIEgoDDFjPA0CVI3zMvddfF63xCXt1QOXiZixCQmHNbejoQ8ZNQA+CDw27S2/bd/6Xm8VVd1NIXff+/YH//1D7FYnXIiBNUMHE4KaFoKQq3ZWXS4njp/dcvaVTbrMiYAxNLRGCg5OoopfLlF+HFac8O9ty88JNyRPTxI4UyAYPB5TpiWMkZNMpiXb9w6ffH6ro1rzB8I1tVU4SOGTavbMGgMKt6fwvdGnjhxgwetBpIU454SwNrqSlSY9R0rxOXYjuZcFZK7uGRSWa5VHKUUagc0ctIdQ9kJJI8CquULQgSjKZW2UVN+IEjjvxAaUjjjiEwG0y9fu9Wzb9t6e229pm0ZJkV//5PTWJcXKPhHc4QDEVlWvwWY5eDtXuOHDImAmHZSUEMSI3I2rWlb2ij9qeI2vnXAHNS9/UPID8FF3PnM0CmyeiGKiZ25JQRMOYbxIU9X6Zhu0ro42pgZrCpNZ9a4Lmo0DljTsVrWfbQz4hAIx02Szj8c0AG5tbO9xs8NDgG0VGivRHbOO1xfWHHWvjNAO/zwzs1vHj3JGbPZTvrSMHosYNDC0BZ8FjeR690NXFDPeX55+iIsKalLmgHVSyQDsPmT6nm2PjzWWqrOWxIEeq1PY7HfO/1ty6JxokDALNCH923DlN237vZrpQcCC+j8vl/KJ0WGQopLItfGWuzrCGkJ4I71HS1N9fg00+dQ++S5q5hLA++t1IjYEmSrtdSFhmDgKZVKKU+oUBfXKAwTEAGU+AlkKYJwoOxKQ5wcW1Ayuqo/yCrfGQ+EDEZ51PFGeITnPmkgGhEnb/oBYVmKIIAAPnn24o07/TYNAG5Va9uXd9/pQb8Rr/NMZuv61fhGBANnFQsLhGMRbqyyLHhq1VlRC4FJR8KguitnP6JRDjk74EA1KFEms61zNUYdh5ctvhjHy8hs8GI4WHgKw0DxpKHCKMsXDuz4yYenJienAgfgAQSCQsQqDFThro8yIxNz2NwAlxmCJQSbBU8omxxB06QgQwPXPU90bEumw0zLI7pg+niKlLfLRDKXGrCoCPBGCGWSr7k4KB97y4uRIpdnp/gmgODBQ9qVxRh8boBtoiT86RKmF5Ijd4jVD4+cePqhXdWtFRLPDE7r4T3bvvnaO5jcWx6tZ/du39CxvDkcRH7qwrWTXRensOgYysZwqxPYGxGWVUyLLc0W60rSQdFCkvUaCcn16rOZgeHha7fuHtjWaV+owMOD2ze989GpyankwBjqshj+SETFiwjnjfhDcakwrtqUlGEANL6eVASVPHn2Mr7tQCkdEAhgwl+9VbEcVhbvttnwBHRRPVxVARNpUQIS//GE+n9EphrTlNLoigJNl6Izvj6+GPPpS9fv3Rv3ra+0N/42Kkhiy2ESOX1TfyQvKo+4LX6Lkx5OfYOsMhzbJ40fEgkayfltPBH+nKYiFBRI1VpkLkZgMQKLEZhfBGIdwL4Bj6A4fEeaLWs3o7xsKmx9s3NzcqiW9eSTU3p+GdLy8gELW7EIcUGk7G5RJEIMAMpIK4s+aLpIpLhYDDeeVURKbTtBJGJoWkRlxTJC4CgjIc4H0BIMzSyRhS6wOOscoh0ayEOHFt0ThrqjGXk041kxHAnCHAFicFFEYuxEcJEHI5ANxUOaypZWYn5eGUjCnZzJQgqF8uG3PNs7A+a7uU9CuBTjuAGMGbk/PT0xgxGaY+VlmDu3pqKiqqqythrjerFNY11f9AKPT6InGHpUd1ioU5xkvLIaKz+VTN2bRAfT/KuZlcscTQuRSTlPsmVMIjtrrpwFhEoxHaGTilIponNgpeCAlTemedAdWgpoHiXLghr7H8tKyzDqCCNQ8SYj+EzYxPIQqKIzU1OjA4O3L2M94PKmFctKy3CjVH+0UOm+8Tup8vLautqJ0REbGgPRWCDSVfO447LS9dK4aHgn702WVYyjC7wCfcBNtbjIMDt0PhvASYPKp5KdZwi8EejIDl7puW65CItpJMCy+dmcpEpBiYTCgiRhNHZ2FwR0EeSnNwJ4wuEdKNizrmPzD3VMpFWJBJ/3S94JpYMVBDEzvQMj753oOrhjg65PiffOHStann907+sfHJ+cnKytrt6KeRExBbHfsMbY9dt9J85c0CsJJvxLF5J86KXVXBeG8tmpJ3iiTUr52MuF61/kSIrvvlcua376oR2iwh16U46cOPe//79/2Yt1XhObApMJPQkTPUIriQzm4T8m733l+cO//guHVRVFXtXKTu43jp7A5HXK1EKJP/RKmOAprcn0QjpFxpoCNO4FPaa3oMfEHvP43e272dNvHcDo+8GKiejYMBzTEGhxyRkhjROEnrxwaWQsa1rJl+nObY1DkARe5CQSUk/AIen3SJLTNzBkg7cki7vKKixeXyYzMaszqiv5PANm1zQ8IVFyCQpyY5K97vLmHe85QeieqBJCgVfBm3f7jpw488juzZvXRoNKEbFHdm9CR/Xlm3cxa6g4LkZEUSjdBY4pnJwyJfEijwQvE7EbV+vsaNNh8QGEl4Ai9NRbeK4SZJmAMJWvZfE5sSN0dVMCkiGC0V4qPPoiiAoMIa0fMsAbBpN82hcfbvX0dl2+MTRyr9oPWsXK01s629d1rPjswlWIsh+bGy4nWpWdMGSnjri6LdWd5xHQWvVx+lQC+9nZzvYVmGfVepoB0DMw3HX5es8AFrUVLTGj6K4yqJdkSZUwv1Uo2rOcxFD/SDBPiuiFgoRz2EtIfwWCgj8QZhLLKGIhUnwvIu5pmaz58rACIraxK9mzZd3y5iXswPPbn37n7e/+5IPhkTHxXfwUFZ8fHC3C0pJi19mx8l/+xld2b1pjfcCYCAGjqG/e7cVYNO0wY6RZHi2e7T2DfB+WwJSQJqwZPEnyi5zHCRGOCiBXwprEefC0egKc0CWh3SSnluX+xj9/7caZS9exCCXG4Zl5dJC/8OherNbZ0z+EMwk03xfhKq+ePCTMnmYogq9yHk/uuZaoq6l58uGdrU2xQaK4GXVd6h6+d88APRRrotRC1MWgVHZaPK4dKSbRhSK+WqZjSGInVytyQbjwFzoJ3hnXiFELJSeEmMfp9RJm3RGKLHtnUTMCi15VoAgofiaBxNUozJqE2dnPLlw5d/nG1s5V9TUcSI3JRfZu7Tx1/goWa1KMAzvWY10Gu4I++uzCxRu3sAgrv+WmGyiUuACaX2elbbBLSdw78JcZTOM/P48NAkhl0wTeri1rlzc3mFEM3Pw//79X3/34zMT0JCugWKW8mo5UDUMKqKkSDD1c9z/9k6+uWbXM+oAf3b1lTVvr8NioG6FAVwIVUUQcJaaKovmOI1kR3yii4L+AOQUkHLYWGKX36UjOAyAHZdG9QrGpEHkv4o5hkVVFMpKnP8hSReoZk8BkOEfEDsxpqQnlXaWMbWnuWGZIhNFjJYEirh1S/ufpUMtoqkvwKCWbD4U6dv/Dk11dV7sxTNx6WFF1927rfPPIIIe9lpQ+/8ie2prYAuFoi0bucZUKBZeDOKYx0X2eAsIffzrgFWgudeecc2F0yDAxO/v+8TPsoq5yXdQQfOGxPVjbXhooVygwFTPa+5NutpwJfwCfVkRM3WhaUv/coT01fCcWbUdOnpuYmNDouVqoBYxEjFJnIpcsg6GCNfx0k+LrmeTZYVJPh3eaYhRmFNFy6rkrwWLtSxGKcIZq5L/zyZmpaXffdGpUFsDssyBWIZbc5H7rTUaZ6rGeLoeJTINVIpHMFlA8E4vg81K0rfZjYnqyYqyfxURKyX4Wi7Ho889nBBarZ57ziuCEjVmsA9ipocn2rTy68PiMLltO0PnEW92gpr+554Sfc0aqP5xHiLcW3jYLbkWI5MdIAVBWVNoUkfyYzJ2XUgoscFALIjStEkjrL0VDWTGNUNZn4JGglPM/Y/bw+xhI59k5AX0GBMNq6dmJY+SznkaFL0IxxLGyKjPdxeL8AUJO9dCkKxtkVTypFKaVhpNzLFZkL0SLuHmo3ArIgRu58xXU8o1I+m4ZaFqgwyuR/7UbGCM0ZyampifKKqqnK6owJ3QFXmFW1FZh5eCK8fGpMXQG4ykR8zzLRDFojcoyEEGfMd4jT4xNcv7n+W3mVQ71MB80PE+WC4qhUDyRAzUvO4aWV3LOmQKtxYDX8zLktQPb88IJ9LPI+XmWgCktwfrQpeUlmZlZDkCdvh+8AEyIpidRPzGX8kj/0HBvX0Pz0jLM2uRKWqDAWAa4uqGu9G4p75yJ6lJANd2TnNzcaMjB4usTo+NllWW1TXVV9TW4vkb7R9Egx9AMwYhY9lwS2Qi4B8jrHjqTA4mPFjmyimMDOwmQwhIsyMV8zJJzuVn8fJ7EEPMJLnhestgLbmARsJgI8JnSKkGyihUDwBcTQR0eHr13suvCnb7B+lrXy4tBA50dKzAa5tOzl7Co997N68Oht8OjY8fOYCAo5931frBqeNpBW1JdQpIceYYiLW+yKEqO/0e2irOISGiqvq5252b0qTS5vEwGw2RPnr2CgURcYcWrWC4I/8cE/45Ayr8xkz8qSkoHhkc+6Tr/i08/pH3ekMdrLPR4bVq76jR7vLgprL74ZTL4WS7l0jbnkfxNw7LJFveTzDjHAYHZPzw8MBQb3Ix5/NAHLC1PXMnVBcYRJ1XzJvAh0dg4VtLB4EUFFfV6di3Is5BzSPLAwxZyhBHsXCkoA2GAY+jh+OSUjbhFv1RFWRkiy54+hXOygizqAVyStPKEhNHaC6x7MIWvXcNwh16jjpy9fP342ctrVi4zl8Cvq6k+vH/7yfNX3j12Gknp7oGs88+c8FVMoYjmYZWmBf7nTjdSdbW1Tx7YcZBLZads4ieqJULi4SlFWnCsxjpkOaTcrzgRFqOHI175qjoxBRbQpFPMO5aZg4zRBGTCda+7LJxNdKRd7r6z3HcAo+bwvfaW9Wev3ECHqNhyRZBS2Yn255uYSjs/xQsxJRc583mVVWP06s4NayTX7c5e6cZQTpu2SZo3SqsKjqT5c0wXRUmGOMxWSe8uRHyFlCyVEDGFpbwxQaAEJRzUVcXJw6MN/cFTrIKQZd8+y8nIu7KrnLhHrLra6sf3bcOYeNO/cafv/ROnz1/uRn+kRoRQZtfkhBCHEWMk3L5vcPjcle4ta9vKpbcMGfgWBDOcH++6dKdvQMOgwVEkAXbwoC2ZalK9kJBGj6swnusxCVmqorYWah9iepccNuPOeCHJ/5qUvFlM1/SjIyf3bl2/Y0OH9Y4jq7Gh7stPPXTx+k1My4xkWAdEMbbTKBtLk2GswLEkRsnjROAvRZMH0TMwcurC1ZFgJXJYjJ9fLVOolIfOI5wnKxuQwua5EOAoQrhPVQwF3DkHQhArEzAiG0esaT4yFQbJkgwWS37/ZNfj+zE4D181ceXmh7Zv/s5bRznJcyaDbpsD2zZiZKEiTk7NHDnR1T84pOeeVd0wjVDRcI8ssUUtvQ3G6y5Q7CkIRWtZ2vT43q1Yntwwuu/0vXfs9JUbt/hXFV8DQApn1Vm3g8lre+AwSzJDQ6OXXvoCljHG57kqgxI9vGfLhWvdo+PjZjpS9xSyYCfcS45UQhQhawtiwE4zzSc+KqEkWBuViLrUVMqpalmwd4VitUHUkhuk2QFvG9Jija5KWHilCIizneataf90EvRctqCqxzwdGBp+/5OuA1hgotx9dMJBwHt3vH/89OTw6PYNa7bLfMumg0Hk+EBtHCMK4i2CCTjCnYokm2nJgj/mG04CGmupJMyMhXl29qNTFy5cv9XSWG9d1C2NS558aEf37Tuj4xO8gdkm7RSB3aWtFzgFsovvzMEYELjPPLZve2LB7Ku3ej/67CweEdWCVifs51of4IH+FEcL6NyShx64h6Q6Sb7RUjrmkih55tDe1Suaw7LAw09On8ezMYuDgse3XMy4VDIltsg0wFQcCJCP2NG1BIgWIsGMJ+3EFSEr5yhpIw63mFqMwGIEFiPw9xAB//lSDtNonNk+szkN7nkqjLZPfzl009jaXro9cK0hTROeOy+3P/Lpn3/4ygOcGyGPUiJLixdjKuwDljYFN2ak2ITiODTcmfBz/glRCEbvZQ5EnisclBRPht6hvmD0xvR8J9rK6QHdlEpDU/ip8znFkxnmuWrrPik0lzQQklsSWl00U0Y4PUub3hzLFMMxtKRX2WmIYsurYCLZ2p5j+kqo7xpmJxJKgOVLxyMuRz4d8lEMkztNj0+PD42MYL7F/uGJ0XvTE5N4sMa80LUtS7A2cE1DHaaKxuLSVCwrx9y2+M6AKwrj+8F5zDJuXvmCMBJpmwnGCgVJzaCWUUzMf1OY+evn0YxB6wWUR7rYrBhqsUr55OblWeiF0fgyoKK6Emvx4kN1TICcz2haHnBQKfGyoAbz/dXXA43tTeGN90l2ANfVopejKI28mFoc21PWEoXQcVHMTE5g5ufJ0fHS8rLqxtqqumqMio4MKoICRty5U7kR8M0VIoKrG1suXLl/5MrMzyem3AzSxLIMxhixBNUVSw5paHPl4U/LuW1ZDgXqesMLGCRFIXoLkchdTP69REBeYvDUz+H0y+1PvcVlgocmdFF8fPqC+Y9BMCtaGvdv24CraVVry5MH3OzQKoD5n3/8ETrV+CpQrKNeuJ9PUlBo1UjsI3lT9AQk4RGQKSME39Sg7/OhHZussxZCPf3DP/nklH9NmQpIKP8jiDihnPt4A3vm4rVz124Kkzsp8hLMlWecVCLZqChqlqg3hzJEv0CKanEodUxFZgeHRm/1DoTLAONdHlZxCxBCMjzzoEtG741hJTbchUyos305evRTL13vRugA9awIBiLBzGBuw0rMbon1VvyG7rGJSTx6B6+GfdbCHsXVlIhfunHrveOnb/aw88A2eLh/W+cvPn1oXftKzwwDRZ4vu6MtCcLTDIPSoGSDcAlq4zOP7Gmsj8YdEiLnBr2ceZJRINsrFynmxdOOqZ6AqTNpoyfYlJY1LTm0Z8umNe0or2eydoH2bY7xwXFZzEQ9i3Io7lUy2zaseWTPZnxT4gExZeW9k+cu42sSixGc0Z/JzIWwEDnC0EAEW5QbMGkXvqOfBqueh/yxiSmseh5yhI4QQ+exHjYuN8zbbPIYFHX91t3p+7geVcXETSRJBN5iWeKJj06d7x+OvghBh9lju7e2NDVK2BO6kVc+wxn1yeyjCrhW1zsZJiFgP6gbvYBEHnOWpZ6HydlPTp/FUvRhvYUQ4vPcw3uePLBLahqcxKaukpC+A+e5VNSUUqTyMeLtleceaWttFsBo9/Hpi1e6b8uocYNSi3AVm+4jB8QZZUp+tEPVR6ZIYocEaPcL+IpU5F7BLWaqBSZ6NINKFrkgZsWyOOOTTiDLKO8pYKqYE8p50MJI9uzJs5du3O6zofab1rahccDq9UDbtn4NOpYq/f0Oczyc6LqMz9S8Qx5f7fpU4hgUlA6aj0pzL3CSZCC2b1yDZXrNKNDeOPrp3b4h9P4iW+Ln4qUIEAgQxAQyxJAcuSz0O8c+C2/i6Cl8Yt/22toadAMJCAFSfxJUNkaaS1zWWzlm7QI263ZQdbUdVnciPgT0l4U0T0Z2RcrmzBP6c1NjvQ0Cl2JHzpCrOi6EcnYzs0c/7brTi4qhXKo+8/DOFc3oaCx9eMcmfERlY76R9eGp8xev3cR7ST3VjIwq+n1+L5jL/84bKCOB7xGcbenpdHleCPN5HDl5NlyoGBXvN156qn3lcjgWChsuKgQBfa4RMWGV0RhkMkublvyjrzxZXxu7Ub559FNM5D6TYwzO/GpF2j0OvkYbBEwmJFa3Lf+tLz8V3oihg9NxCQsAS/DlXPio4chTgy/jJMaxkvsyRzZVC5LcjC0IZJJDNMn1e8fnwTXHZimCMKw4UVAgLr6YWozA5xeBxcr4+cU2J/LnEPTPATKn+7GM4I1wjO8TmKh1Bh93YgSVDOhRNrydj8Oq4zSDttrbmvdR/cnnkntgo0gew/kQEs6li4Iby9A0WcmcBFyB5INpR+ApOMpKyYi0vPcQ4qaHFA3UEXTOYeMEf5hzFG8zVWMB9jSnt3M1DAt8FrNNnbJkklBZFVKApMQc0ykgylIbzj0cTNAIZ8nSSqiG+lmkL6oY4hSlWISCieQADC2DxuYKbPImAY5JWK4nqMU/gbhBCiMPMEgRL3g48rJn8N7g6PT4JP7yqsC0b3jx3NxQ11hfXlNVhdEl1VWoDhP3xjC4M98V7Q1FR3UsSqdTJpWzXCyUSaWDFMvNB0MzD7Y5BDXy4HB0RrEezK1Ie76emRdJAKRlInp8bD4zPoUpoONNRWQ5B4Xuu1ksTd3YumzVxs5l7Ss5lbSrxDk0PBu1BSsPV9XWoovA8+Rovsa4ORNzFM/GIcDsTGZqbGJsaAx7DKmvbqyrrKnEhbaQpw92Ujdc1DLQD002/z7Oc89NVS/IlD/X/DmBAQQ+2MQrvrPxW0R5Tp7jnIQ9TqDkrPuc/Ef3YJJfKC1XTiOrpZhLk1jkfS4R4BWUfyuUH2jzwuA1Ir2i8oAzi5XDjp25OHJvwsQwgu3RvVs7lrdiqFn4yntschLTXX52/jIlBYj3Uv8DB7QDSa8kfPshL0qcesoLFzgHt/QN+Wymoqx8Q8dK9Bs52EwGwym6LnefPn+VxWABHJQjRM74SoSAtHh/tm9g+IOT5wwTxNKG+kO7N2GxXTYd+mM7Qj8EhFqSVIsiQ5NpGxTQjW04SUIAxXsvo0VwdgeH72G9wxAXL6YrKsrmmuL7AABAAElEQVToAAvL//wJrGtbEXl9Y5yZ7R0YvnLjNobpGgJeSu7d0olptHluFMFcoi/c0vi+CHxh5SxizFbYEw88zHYxgkXV2EOmz0WQdGbEmHvbpYaz9tmSytHTD1qJcK9MtQKaj3AfnOh680NMtBhVYPDRB/yF/dv/wdMPtbgpW6UIGjq3d75JAEAzmaCFg0vFSaJ2b+ns+KXnH9uxYTVtp2/qm2lBCOrYwDfC/FevJD+2o4D/xEG1wFA3mONpVc/ehzKKoyCGYAShbvX2/+Tjz85djT6JwCDgx/ZsffbQ7ob6Gt/8WAeDgtOoXvxCmA+Waz6AyLQ2N37x8f0YO8WE385e7j766dlB9m6aekBItcQF6+LPHMnVoniQ6MgyiRAV8/xoTVoeL+Os38crh/YVLSv98tuKjMGdqOFaOxh2ugNFscXqEl0muL6w+u+ypgZzCXXy49PnB4awPIc1uMiUUqR5CDhXRiKLlczMpxgCHPSWQR+LT+P7Bg6gjIOoOvcwodFQEDBybSLLTK0RlgQRcpT/d7aHP6ED4ryGnYWT2GNUNqaj+P67n6ArkcM0gw1t1DdefvbAjs1Y20fmD9Cvfp0ie+D8mS+G4MN9SdnLTx/CsPhw9nLA4ePhdz4+0zc0DCsKBabSIEJw5RsTRPbmoqunXQMgtPBZ7Ll4TeNqQnqMIl/A5JhWwVeB+N4pqrpaVIFc1qWgcQxN8ebk7CYQLl2/dfwsHjncTQqD2ndvWlffUINneAygD68gTNl6swe9Srzk+JMqDjSPLKSiB3tpsrT4VolVUmLJyPDHKxnf3ZaWYoEJNFAGMDQy9j570eieND5y8Yp1rxjDSTDpY+Y+GtQ77EIG7bZ9mFZhayc+UBDTEd/npxwLP/uFSjTrn8FA6/OY30OQj2fCtyxLksCmuUImd17RVPyp8FqhLmgJPGRcDYjOn/DSdrQvm8x+kSYxF56iJaC0UPDFlTdeyIgbVl15pFX3IX7s9IUumRjDVLGkyIEdG5c2NjxzaHdiSuS3PvwUz0au9ogCAoPN9krgtKRuoZiTTJWLMWdff//4rZ6BsOKtaGn6+ktfaMBn4v5erhpREuhiwNUQqSrRgz2kfS0SgZJXnnt889pVNscM8jHW+QfvfozPlXAKCWU/kAmOy9KIitWY/5LQSkO7IiY8bbXlIVa+d+aAWi+gYsrhs1/577zywtr21qiA/MNh6vvvfozFmInptsBLciRpD3suacJeKXH0pqWckscCUxkbiUQSV4ZysviqlbL3kpolwMldQsuVxbtATyCxuC1GYDECixH4e40AZq8Q+7nbI0w6hec9tN1svrVhm7PHMTVtoueMkaoQA06VcEz3Plpn8sq+wxeNk2pDtbGPtggwoqLcOVEx3DlpBsI5vciZAWXNi9lPYUVW0AOMuVIx4Ix/091HvYmpRnLFU3Y71wdYKuIxI8cDWh5YdUSdzyNWTFYKiLLURsw3ZSU1LG0aMaUinAgRjC4AosZ0n9uEoeUQsXwlYDNpVjOwty0pYRkxQt5e4cUp/wpEN/D0+MT44Ah6gkcHRibHxvHEhNVM65rq61saaxrrKqoqIIj5nzPFz/9srsfMJhOFpbRo8plmUnlOabWkaHNSLFaYBmJGNFGseg65BXQ48ieiclhNskMvovolMKyTWAAY6yyWlGAN6enJqfjfWUmoMA0ACFdW1TS3rWzfurG5bTlmGg8FCtCy8C1mLaysrsF3MK7RCn0toE/RFHGw9FeEugHwb7Xp++MjY2MD9+5PzWAEMAY0l/J9R74txXq2eH5/ZGEkrASPFb/Q+T7NrpoF2UKckOb5tzQTrkIYT3KjlDoTpAOyGEezxZ3BYpQXSibbiYVCXsSZbwSknUFdyFcdcrVF8laB7TXew35y5tKV7jvmBR6p2ltbHt23bd/WDfK+0uVgcOrRU+ekw4Zvh/BSCJVCfqSFA0n6w6RsvB8Em/BVkTMWYElS7PGwL3sHhY8/9XU+mEsa6vdu24gZ7QwDowY//ux8/9AI1akY//GlkDogaIIMMb6NRPNEi7SFMbKfxPu8UeSO5S27Nq9TAezFB8y9C8viHj1g0kD86yZzzRFEULsx31RR9sh1AgGTvuFXgsFDeAbB14yGK5+fVbL/TYKsBfTxR2G5AD2/IWLBSyenpi9338WoblNHV+ih3ZsP7dmKFpK+hb9EuLwPUjSWGsLyIteFGiM/UDHCyZbxfvMu3B1H56sgI9TsC5ECCrjR2URcErF1uhpn5AJT9qW6R9oTwJcTyv3sjdu93/vxx/iIAZP7WalBNDfWf+35x776wuGmhoZs63Q4ZlExGUOAw5Co0Advq2TtqpW/+YvPPfvw7vDVZ2gRtGpBRXGUUDTlaKHMBJIJBEkq0xVc1BXQQkTnc/yc82LOBRCSGjq1q4XyXrHqYLnfo5+eH8Fzr9/qaqqef2zfFw7swt9Y4iRPENSx16Tia1L2+LZbZRhDMeGIiorKJw7sfuqhndVV0ZKBqDXvnjjz2YVrEqJYWQRfK6qr1eBIrytNM7Rpm1VUlYnVc62crnrrpxSK7yqtWlzZ2tLZvrK6MnISrQ0mx8ZewQWZKq4LWE+3JCGwfFkz1v6UBYOdf9du9WCuZnyNIT7TcyU8DpP+5zxhUhsHt8+cvXrj9KXrmHjdCo02GZNpN6JWU10UJSyiKCHC6Y6yKGO6IeHVwStFz1GYZBmjoDkTvtRmcaEI3AViUHoGpQjMkrPjSiq0Fafkxx+ffOujz9BjF5YL9Nq2Zf/9b3zl4M4tlXN6nE6g+ORTB3d97cXHly+N+gg154OT57GaALs9eBq5SWV2tDE1a+57w4GqFllDUfxebfJiDH5gsonLsakkMnmxey2VNZAEIPhZG3QjdXuPB0LWN76fee+TLltOHvUZi6e2ty7bsKZj+/rVdgXh+wksAMwFEaS1p67GgeACRbM5rDs+/iYSSXWG1jUppRMQzHOwcfWqsGsfn8J8eu4i7qTy95TEipJii6bVqMPxnohvzHXEiTNXcOWGU3FgLOYXDuyoqcR3G0kfjBOhydc1luSlTeTkRl/cyZWLSB8S4leTXlwQi19lYIDj9oLDkukvacbzTSCSx6mRWu/2koGdfBGhl4OCMSOoURIl5zmdkJ8R2RUslC+SVrQElJkAkdzYu+k90ffPfAXNjXyhS3BC3/zg5L2J6GszzgK9f8eh3fj4Z0X4YHDpxl18BIDFpKGvBffFjwHKKaaN5MaAsZ44r1ydATP+Zz7EGHqeBv2dvnj11bc/lEbJQcLDX3r6kWcO7ZPVDVgifV40FS2mGKJNRzjtICmqj+3b8bUXHsMqGz6fx9feOfbp+UsYhBMykzRLZBtDKj/jBAQLTWMmIy75U8ksFfAgypEajvh8/aWnX3n2EZsEW3F/cuw0BuWHiwRKwHhRqIBeHf6upxcLHcBtKHvz1xRCGF1WEDM+FP3pdgWRJES8z84uxGJxybaVzXEeZ2cYR2sLkiC0xSPNn1QUk1skFiOwGIHFCPzdRQCNeIENDSJaKjaThdu5BJS0cGzn3AagubeuXjk8JoHDvBw0vJcV6WPt+zxwAvh0bXItB8S8tqIAigNXqKQXZiCZoekUpRRWUhcPLnzvj1BjzDi/En2AzZkzDL1PzwtQoQxpXhhUci4l9A03eXmkmw1BkhoJ5LxJNatRKYyj0rrPARs6lkNE2aHlpKCBFHYpoaqaeD7Sp1++FcKHxlPjUxNDo0M9g4O3+zEvND7cr6yuwuhMfGqAi4yiHGiY15gDTphLSZrvKXlgWTb/TMNvvptqPwBAEYZpQ+044ViiCIBUkQUBAbLiYB9QqQZTmeleBFz0/uL7AHyJgiqCpXA5RrzIDR0gJSWVNXWYo7Njy4aGliasZz6PU11WUVnTUFNaVmY3O5a1uC0pGZQrL4C8ncuSoPbUzAS6BYbHSspKqhqkDxhN9Pw2dSbpYhwLVyUY+M9XNPlF44rxVMolHYAFpFdzLMvxaWNAMKS9XvIonieZael0MM8tGiYNepH3sxYBq66O4MF4BQojrQTrjT6aYt83MPjeibOmplMiP3toz/5gxB5GWd3qHTxCMejyx25HZ5O0VychSQAb02d6Xb4h5BbuVZ7I4EMV6WVLlxzev82U4cPtnoEPPj2HhlbAVTi2D/jQsywCeuRZTJF3/uqNd493GbKb+Hr7Rpl+3zyhex4QpHprmERM2yggWpA3YRU0ZOOHBGQwOHtmaHgUg9sMGatOysKTGmTI25bQBf8+Io++fKzeGs4/ubat9aUnDu7YuE7OV6iV7Q9AKCD+g2ARlEZkdm9cu3vzuvAt59WbPVdlCl+R0fI6BK8YBiFmWophnFDXThZysSHL9s4l4WDn1E+cvfDtNz+4cpNLU4cbRj//5pef/K2Xn8UA6JCfRRPH11Y16kQ8t2Tzuo7/9te+/ItPPRz2f2fhgBGpK6BHiGWlKS4Mz5ciHS1X7s2ePowcOnH2is3LirO8aU3br3zx8Uf2bJFHZFcuvbQt8kF5GUPfDpAWD2bLy8uffGjXb37lyfXtK8wndNUfPXX+jSMnBodHPFRUTxAxCZrsiKMXO7RNxpCMiCyqrodVvuWqfMh0NCaSwrQHaG3CrqDBkXuXum9xCVJfHPOBLjKa9ruPWWS3dmJcVPS0g/GLd3sH8BE4xEQY1invFc15xzc0LwDhDB4p0epiiqJQ+sCODRgHLLbMgQRBVQPMfXOgCS8JwpJON/BE8VUmYesBk4GfUTzplndMvQqtaO7sxMTkt954/9iZS4mJoJGNDpl/9Zsvo2+muqpKpYvcS5FNtuTJg7t+95df7FiebEBu3u3/7o8/utM36ENkKo7Ida25IibFJR0WVAXisXE1Ls6MYmYRgq7SkDRaSFcplKmcxB6Kim8yBqtEyDc6ASJJPB3oz6d4BAZ2J85exmwimM+DKZkhYOemtRj+27Gi2a4gDH3/7MKVoH9dVFVB9qlPPOajClqokHQf9uAClGtQ3w7u2bKuPTAKsR+9fxz3X1y1MniaACKJ86zhpwWhPV+ScbHZqempt45+OjYRfbcB5CcP7Fy5fKn+qRL4EOCILXHV23JPVta0IjOxaYkZHN84G+GeGeLNciJCCbRik/RPT6ZoSNJ0mec3kQsZPuPv+CgPP6lVxhzxua631ffxaz6KIEU5chKtemxsN4bD/oOnDi1trJN+Sof21tGTt9H4Y05kO73QJw2BgIienM2N0B6l6Vb0Fkgv6YRwkJy9/5c/wMQEl6aCdUCwrsG/+adfRS91ZUVF6GT2fSGW61H1HRlefm3pXPNv/ukreJ7EiwufmTlzqfs/v/bWyCi+c2ItiP3ovuO4bwJ8UsQk24CSRFRmyAUXsobM59ITvsbDDg8b33j5+d/72vMoZgh2u2/oj//mR+PjE3IFR56rTLzqhnp5aLovaFIOV0TI5+BrYCSTMqwG/CNGiFhEFInIBuxQIzHkxLdAOCsvLikgSZZLS3Fy5C2yFyOwGIGFjEDBC3Uhjf30YEkHcL6yl+Azbo4AxswsZfFpLfMVQlrSQEAaWDahD7oBwqHMAYw3I+3p1nYcTkQ48/EoRVtZwPf+zQf3gR2LGU33JZ1rirFsvTXHWCaYJOS+j84XdsjN4I1C/PP/pHSetDOnh+TDQR69KMvcBgswRW55JJ1LCaAUbmg5IR1VuXmVSdD8gwUSxYKkOJnTsWQG0xYVA9LHvaRslJ3MKZQ2TRHUlHQjsYjsw7t/H2v9jk8M9w0P3Oobxwx18mlBeUV5/bLGxhVL65oaSvX5ErrhFgf2OQkhstMFrewuWw8p6h457/HBtPNCW6azoQdXKpcwmXkR8wSBWnxLehbPLZRK8UJZcTt4M45PBLBE9PTUNIaSF3WpyP0KXaR1TY3tmzvbNqyraajHQNZCHqXlYxng8rKq2rrScqjHPUsTV15KOZSVW0VyUvTiGvwjYmZianzo3uTQOEZFVzfUVtZWsWTFuhbYiUPnSgFYR2DjbcfkzCw/8i22scoFWcBbWiwgUjA7t+lCOQXPQSGAxfyfhwjw+QfVkK8+clb3RA6fFmUTgglcrtgGhkeOnT4XTqKLRUCfO7Rr5bJozNPo2MSJrkvnrlwXAFh0RmHCeQJWmiPOpjetDqjpBA2v4Iy86mFOXW0NZoYM+40wDO7TC1fPXrqW/+ryxdQCEkrL6/lkDAyPfvzZhbDIeEd2aOfG9R1tVJjXJvYiTTUqriJHf1GuUpAJvHK5ePqYwvAjv2FEVENtDf4e8gx3lPOechau376DdUPRM2HyeKX+xP5t//jl57Z2rs6uLXEHWAjdPF+LVXJg+8Z/+Pyj6OXy+RkMGD1z+caN2z3GEULOoVYQ9c7oBIECGQeaoJUD0hPkYNM9CQjJpoqeRkfC60c++dabH/QMxPrJkN/S1PCNrzz1+7/zyp6t68twi8TTJB8o+e6NBA3JqSEg+TxTnhaZTG1N9YuHD/7P/+xXXzp8oAYzwRTaOP0u3QwGVUYWwRejal1NpwAy5kRgwXVQiifEYTrm+FIK4NhPSyQWXQFVUqE0Nyijr5mzx89e+MG7x273htWm9OD2jb/zyouP7t0uE2zIOYIjvOaF9nt3vljq6NyBiQ8Xnn107z//lS/t3LiGeX67fOPO9/iO+qrD8fwFPWoMsyFT+SUHd25+5blH8WrbFPA35YlzV05fQItHldRLVfjMra6u2rtlPfqSTL1vcPR418WhUZ3gWtmppk2DhL/ohBRxXE4nz1++cbvf+uaRhwZh37bOxoY6udggJ0cCPMhW2L0HQf98dGdPnbv0lz989/rt3sRE0DC3Y2PH//LPfvXXXnpy6ZIl87BeU1319S898T/+9i/t2NBuvZKKg2kz/uqNo5hGYlx6+IKzljgTsZA6Mb1qUh2SKyh2UdjlTC2gSWuQHDIdXP7aDkjzwtFfctXL8FFWEvzA8ePDpVrH3dBWUWQo7MeicyCZgghH5uwQjshIUxDHQRGSnWh0Xgeycj8wNITFSjENgOphEPBDOzY/c2hX05I6Q8KgvZ7+QfbCAo26yGEII2dMNEFEEUYTqsGhLqUYH3FY9o1L6r5wcMeyxmjadkxm+yEHbk6i7aUCTUd7BVFOiOPEaID4IjD74aeYBXpQv2ZiTiaDdaUO7d7CT4ikREQQeRK5fhDRLAIkNwJgkwZZGmFrmROEJT1atjni8Jf9hCAm0hRFJRkNSlOY50tDoRzuIZv8WQsmUpprnX1J4Wz13Bw1F0KFDoi15A5/QYqMXkS2R1FcuOgPltjARDjhOrsbOpa/8OjummB+Cwz8fe9kFyaVkzu1xgG6MYLR1s0Iz3Ds8D4LloYUTQAvYQ2vDOUVdeUw5pnM9Ts9f/79d7rvYG58MSpwmEfn3/7e1w8f3FVZVZGCIIAGkkaU7Nq6/t/969/auHol3ngIJHeYfeE/fvetS9ducp17sLN/EMpmKsdQUgnTUgTOdJOECjglq9tW/v7vfO1ff+MX8dkf+X7Dt0F/8uqbH57qmsYiVXpOfVZQecDKrmzKjKTnR7GGqz/qPy3FWiGNT4wJS1bYkBamgsWcMWHN06Qq8g4isoFMzJbxY4iLicUILEbgpzYCUcP+gC6mA6VzH9AU1Qv06aLhHpvEi/SZKr5RL50qbDHpaXDLK6ycTyIJnE82O4/PUdLuonV1LgFQG+Js6dycFC8cKyUnN0w8hz7JL852KWQV72e6F+nchLWYUH6XEppM8qaKLhNOfDo7ywWAp6fDu36KRjbLeaAH7IsvtmCpOPQcTkBk2yrIMZAUyVieeZnTcihu0imw+Vj20MLSFQUSWk1DLpSvOqFUuuVIIj0/zXYWdgSSLs6Htsnp+xWcoQUfo3Bgp6xsWl5bg/VNsbjp1OTUxL2J6YlJdBgXE55CBsPKU1g23emsUuYTe6A852H88ECITjmr6GAUE96Y7QgkomIChRIpaiksotA3fKpUVopqMDU2OYNJkPK7KzjY4Y3SkhUtrWs6GlcswwiveZRSCwFr+DShuqGurLQcsPmNQyVZjmRaURN7FSqE7aEwFf/U+OTY0GhpZSm6xquX1EyPT01NYnXtQggp/iU8SSblD2xMBFGK/m/cDvBeHz+Y8b4k5YtJq5dzQBAnkshFlDUej6IM5hUSk/gTd3H7OY2AVmzdSxFxru10G5Fa+GSuPD85SbzF7rp8/cNT5596aEeqMph9g8NYGG96Gh2TSShRUaZW+kjAUXLgzlXOQAB+RBve1nGTd4J8W3pw56Zw0Vn4gAVf8XJWBVQ4xz7picLKRzbQnsU6uyfPX8T0xfW1rstHBwEf3LFBOrmdJ1JY9VA5Sts+dF4dASdixgqX5aiVQs6FndUSPsvKjL2qge97sEoiBiaOuYkHI3w88RqIuTozM/PBp2d3fbz25acfsehB/cXH96FL49//5Q8+Pn1uCucxcM5Iefkb4atj6Hvet33j7/3ylx7dHS3GDN/QjXfkRNetnn4xDf+tCGgQNf7g0cWsogsjwUfSOEZLHKJp8iwsJgkkoVE3MPAFExd/9bnHmxujXgTkY+ZhfM2wfX3Ht9/68K9ff//6rR720SoC9+KeHZ0XSJdgHMm29au/9sITLz62d9nSqJMAmEOjY5+dv15fX7O9s0MKE9/ZHcFCgnyxQzlUJeP7OMX1fQqSeH8nLvH9vjqpKobgZd3RrCBNeUkbwVpsHK9BxuzovfEfvHeso23Zr7xwGPVN8zAO+OGdGxHPP/vbH//tTz4eYXemx1QJ26shzRW6pXHJS08+/OsvPRF+w4H83sGRV986+vbRE1iQTzsbYD9R8TyquMoEiJD2+cmjyWiMLJmQi/iwW1Nd/czDe377lRf2bF4byqEv/OjJrss3buISkz8toQXYWNzt6mtf3rJp7apwDcjTF693Xbqq4xdNDPghHZozWszphEOOd+PWXUwlvW1DO5YqV5bOAo2pPnv6ByzwhhCEC2BRYQMBklJJNReF8lWNORo9raZMf85b6KHRIOyn9sOk0o7//Xc+WtXa8htfebp9eROa8dDb5c1L/rvf+AoGdv/pd95+/2TXGCc5h27OTcOFJ/qt61f/+i984ZmHdi2pq8mWxvj17/74g95BfC2haIyzVmbPgZIySQgCrz3ZcjkAvmXZKbD3915bcL2tiJlNEULKo1gKDTj4obTyQ0XlWAQ1mRQLmnTgIDcpIIjJrhYR0vs/SPh18uwlLFXQunSJdq4/e2gXJlGy03ezZxD3KUyGARX80z2AFSFnAdQf/AkgnvEtnO9qoVNI+yzxMbN9/RpcuVgAQpPYf/jZ+YvXbmFEAfrKIWymCWhx0/CZTkiICWHMXrjajct29cplNqkAJuPFIOBX3zwyNj5hcUuNHgJEENuDkDYoNGU0GwstOA8osrv7FjAB4QAfEMTRn4uvWWCWWolY3haPwnUFET9VXtvN9PoRA/opSkj8ohOcfaGh6v7wyImnH9pV3RofTRsU4tPzV4+fPs9ZxGWTq9Blh/jZ4AFGCqkRljmgY7WB7vKky5Gn4/7fvvVeZ3vr777yot3KIYJJI/7d//CN/+ebr/359348MDwsfb5gS4WRi5r+aJWIG6+oqPji4YP/4usvdaxsCcf+Qupv3jj6nTffw0j3lOqhIFJgR8ZhXfWIMyNJ9SSoTnjTwnolEm5PhzOrVrTi4farzz22rr1VRgTFEF8/cvLPvv365OQ03g7oebWz62qsFw+RwVOxqGnwYjgmJF0O4P0ZNeRsyZCTR8ysmYxxsgnImBgbLbeBBxq/1EJQCDXTu+yV/NEAPWPxuBiBBYqA1dAFwluE+VmJgO8ARg3I0cBgJKf7Mz+HgC9qViXKYnjJuRwXFATNK7acRS3kV8yXKBFRhQBy5APggTFyIxSAjrL1/Goa+ygjh9sxNv5UKCnDOg+Y+BTPOzP4/ky/u48J5UzQlhkGDVcK1LYYVOi5IcUk5pLIWXDLAEGT+A/KuCmWwzxVmIsjlDUEJWBSC5sTxxRySkSYuUUKWy7CTg74uGY8lUOF7uBprryyoryiAlVrcmxsbHisvGKysqa8DOtK1VaXYzBIdSU6utDtN4VuYP7FmB6rwgadRGHB3N5KzgMDFMAPTuQcXIZo/iq0gG5HUBFVqFCx/KRaMh0T1gS+DyjHINdMZnKM1UD+YEkRs+BBsqyqYmnrshUb1y1pWVpajnti8NCeppqPhzcOZeXV1dVYCbgkOfwp0ksvRzo30poDFUGBKpnlJTNZPjpe11xZVVcz3Th9vx+N9DSczYkZIeQUCTNoJkoz6rzTYhgIcYKcSMZx52hHmsR0PEHKcer4l2nSEtIpQEmpwOE5kQrNZivFyByQ9BxlF0tQo/dbc0BcFLUIpFcBy/YEYp23WshLFUpERFrV8nDpR3k01azZnv7hdz85jWmCrcsw1MGY1IvX7+CNLdwyi6EA6FzvEUQMtYne5ilT4Aw10Om4pm35oV2bRJ079QFvVPPCOHGgmT9Kh3sIoZe0+3Y/0PCazOnIqrGP79n26ttHhzgzbbQlfIsyPhdqFuvIh+NLYASDgNF36zuAc1q1U3Pt5m1MT7ppzaowgHgN/czDO3dtWvPqWx/9l+//GIMKMdJYsayASvjQ8bi8pfmFx/f/youH0YEaGsa7+2+9efTDU+fynw4Ne6j4udGz3Xd6/tOrb+Ivgl965pGlwUgyWMTfCWtWLvvdrz7/8jOH3v7w1A/eP3bq/DW8A5WOaqmZ1lhjUYbKspUtzRgxjJf1j+3durIlGgevzuOh73s/OYa3wF958mBWB7DWcZRba2B4JVv11641SfJ9pvFdbDg8GTx0ZbHNTb68U2nmO/HkIQ6n+OApO+yFMkElZm/e7fvmaz9ZUlv3pSf21ftF/tAHvHUdZ9N9aPvGP//Bu6fOXx7jerSmm7SOdH1t3b7tG371S088vgfD3aIldZGFQfzoSP6r19/t47zKC7NN4OuyqfvotIvuWbyH5QqPdAKVZHBBYWLwHRvXfvHx/Yf3bV1SXxt6gxnU3/rw07c/OjXpe6k1Vy+QUFLoEoyt37lxtXZlaS4+wujlePR8gcrCSTK0FmH/3okzLzy+1zqAIYd5R/ds6ey+fXc0WLkZfAhjUyIJF6Txyp5irrsUs3uyh8vd+t0jhLxs5wv26IGCGlEqgqPU3+FmDZ3axDn60++8gcWbf/lLh9uWNVonouais/yxPVswmcTHpy+88eGpY6fPX+m+izojLoe3CYo3NzZu37D6xcf2H96/dVlTfQJKAY+euvAHf/H9K923ZXLvKCCIpwbHCJWP7REn+UV1VbJHxyex3hD+MtAKIzFHBeaPMXcQOD+un8WbimH7BMTlr1Gk1ZwSmm3dv8hK3cDX9gkwoHWfkFRdQzAiEJNq4jOiOuM5mdnPzl8+e7kbM3XX13DWdJymQDuDhw3coSanJqkg9dnnCgK9ApHqHBVyuK5qVBTNksN7t7W1xj4awN1hbGIcvb+8kMS07hWUPsScISO+sdcY4HABLzLfOHry2UO7rQMYbJQXk12/x+VIMVWRKwDlc2yQ0V+OfLLpod+kXEzwGvHMXEcVMHwlUrXwR26mVP5QDbCipoAFwH9XDne2LVvTiT0i/NO0TXL9Wld0czyHgxjb3dV1tRsLlCQWmjX5H2IW8XtjmE4OHF9fEnH1yejqNm1PqKbXlzorWXp5eqno6CGlxsz+8V/9oLG+HqvhNi2ptbthU0Ptv/z1rzy2d9t/+NaP3jl2BndOf9IimJDCece0OF9/6fCX8Plg/FYOsb9959gffPO7XK/EnAyVPQ2/XM3wnDxHTJmNuxFeapiKVScXAZnzbOmS+talSzevXfnI3u0Ht29oX740u+sXVl577/j/+od/PjgygqvZwmPWjaO2LGkCILKrKaYIpHt43siCjGqOOK07QYtdGiYmLQWDI7cDOTrbUHXuyCGkfYb3Ep+LEgJXqEiJJe7w39NyNIay1bYH0SMK5KId5y+mFiOwGIHFCDx4BHwHcG6kSQylmsGfc+X4i473lViDhBYObZlrDQ3DtcPayhl3rkQSda76kTw6J+kn3JLbTqwEkVQBSosaL+tCuPjgGDkR8mXETpsmTNyIAiGJZSPIWPJhFrc9dNDJH0+Fz78zhIO5U1gpblVqnzlsREyoUEJtQjdd3bhKQNo5qWnLjsyksKLMYikDUaJwYEwhh4VC+aaWEEyxrBLYp+QZTIJIoAbRLhJndraiqry8umJmanp8eAIjgKcx1eAEFnutqKqtwjjgCiwPzP3UDNijExjjeB+ffOK5yjuZ5UHcwyg7ouISRaceGKCQpZgBl4jxCgGk5j84gsE+mE/pjqRzzSQJtkJY/7eiHB2P96emuACwP/tOLgkiN6v7s3j5Pj46Vo3XkA31mJqSi1pK12UMvbgEP4XB26/qmtLyYcyAnHQgqPjEgz/wMPJK06mWkBXJJSVML0UEt70SRGNyeByDmyvrqmsaazE2ehwTvqWWMQUhac3SKqsxdnpcmBshKJstxRTQnAE6UULTjZXbuHkIQNGSsxMXjJgpsFFmXMmnQhVnxGcVd5S/3pJW5oVEe0mgHD7Iqy11nWFZ3BY4AuFpAC0tRYk82uizpHJoVB4t40SaLyZmj6DyziLl5KHL89iZC5ixsL52eTYSRgeeunDlyo07Piusv7hEBFC9Z8LeXXhx1jDJxtsUHPloHNwmIcVs/0+SS+pq921d37o06nvDWLquS9cuX7vloEQsMpBFQcw5FjhLJticNWZ2cHgYHcDPPbLH+rzxOg8jIHduWPfuJ6coQRNSFi0aoylYbjwSaCl4zLSWXfjZmQRUaT0EEmSovyV4NYzpZw0Vr4+XNzc11tf1DaDPLFARCegwIIgnvRIQSR777PyffPtNPJ5g9l1btRcdVG3Llv7jl5/+h88ewiA2LFLYdenG1Zt3BkZGsfiwWcSkxytbmtavWfXI7s1PHtixdtVyQ1AZDBn/8cenXz9yfHhkjA7xXTMLLtUMHmkQPB7csvrneXKEmMYBYaGQ/GQOB6XpEk4V3sVLqXnvQG8oknJeQijky5m6duvuH/3VD1Fdv/b843izH4qARvHbW5d+7YVHv/TE/v7BUcyUeOnandt9mA58DHdv3EIxDTgGhHW2r+jsWLG0IdYjaFDo/f3he8f/+G9+iJHEezevQ7K6Mv5XLc8GisL3cUJINEAxLDxXUihKCI2klM4MZDLop0fl5yjtnFtSJU0QzwIzbx49hT7dW70Ypc2vo1wAGUJBoH/YPNps5tylG//h26/DU1wXeFksudw11FV/8fB+dIcfP3sFfSQY4XTtds/wyD29SiCAWzCu2dVtrVglGhMJIDLh2CPFGR4d/9ZbH/zRX//gGldrVge8aUqEtGqAI0FkBcAPXSoipl6rSCaDMXa//09e+Re/+gue8f+z9x7gmmVXdeDLsXLu6u7qnJMCklqIltQKBHssEc1g0Ghg8CDwjM0wGPhmbGwZsD2D4QN/HgNDTlYGZCUkYRRbLanVWZ2qu6u7OlXO9fJ79Watvc7ZZ9/w/++9qmqNkN6tV/fus8Pa++xz7rn3v+eG6tZRsxVqh1+OmOHGlfE4N+NmmP399N0Pv/+TdzyHONlq1lL29JGDZWU26JZN6zG/uGPLxszs2Xfo+D0PPYFPCDN8cq3pWZlG15VcOlwnXe7X7DLJ4UOPP7PnuQMXb9+CW1KlhVHr1puu/uJ9j0xMzohjuTJ7urPdOVe5eRn7tS+7/trLL4qvms8grdtGvYMWPsr+5x/6FD4jHXgrIT1IGaEojhNgcD7O9ibT0ViVOq9xTk9M/vF//QRuA/+hv/fandUpPaEiXa99+fW33nzNyYlJvCgec8B79x08dvI0vgKAK03DI4NbN6zHE3LXXLoTDw3HiXyZ+/ruh5/6jT//r5ie9E9s2i6AldrKd4gULScLcIe6WsPqpco5oIibrtz1//yLd/gjgzVpW7Fjizz85LO/+4GPY1RXfjyXAGEOc3ZZbOCKg2CBjj8Uta4pSs3NnYhqZObe6/w07BC1Z2pm7ksPPoaHs/1eE1fDbBxeN4L7JwBitaC+4s0IFhmZEpHyBTrcdWiAlf+RSuaWh8sv3nnT1ZdE77ir6W57uy8azSoF5zRKViCsVu6ohYAqRwtY4f/iVx7cffDoSbyq3Z+b3Lpx7WtfftO9j+w5NcHBQdptiSK2xUDCMVmoLR4Shyme25QqM3Y7qcDaFjUIay/ovLbRJnUOU036stq5deOf/Nuf4TxTl6Vi0UWvB69Hxit5/+YLd+suN+42Xk/ZASpyQC8bvBg6AgjRIrzYiDE5kXJNGgNY7Dlx4vSd9z728usuHxxoeT0A3iKOE6vpGXxxNrsmWhVCxeQripJjYyE1EnGdaZC6JyxaCUgc0CB6T09O/da7PoQzt7e+/pVxDhiPoeOGp1fccOXuZ1748Ge+cu+je5554SDe5HwG73BO7nC4H71g2xbcLPjmW2956XVXrB3HDe7RHYP8my8+8Kt/+Be4aQx7BTp8qgollSXHpG0uVVQqBbyw4ce/5835Yd2KSIX+vn7cLILrCuvXjI6OdHwIGwffD33m7t96z4cPHD7SKbYW9GWw3v4Pbv+eN7zKhoKltOs5a9F/7uCxf/Gbf4Rz+8qOAMO8z7IPOW01qaH+yN9/3Vtuf8Wy4mnxX2G9+2Of/+Df3tn1zLOiv1pYzcBqBlYzsPwMVH8qu52OWXb8wewvvwGMW4/68PmOxmGnHOFpfB5GvfN7cEDAOFTaDLDF5zVcAZEisvOxMNafc6DnDFDNfa1GS6AnMQ9s9gfrJSxq+JUiT2SR5QHeNIpJFzxwVhF3K8gr1iG13fRNJt1zj9xxWjx6OkSwhjUt16jw27kVlaULAnHPSxi4dj3CYrfsqJZW9Kg6eyt+STUgnQGiJa9V61Ri7xrApb3F3nk+YoAbtHnZDGPTQs/c/Ozs4DCeAB7EI8JYD48O9w8Pz09Pz01BkdPAvPyyrGg9stYYlmKem3UHdOVIwrqDVK6zOyB1YZ87QnuAXVy2iGIUoEuLRUGLXWHhQwV89Landx4vDMdcjf3+L+I6TirjG4+njhyfm5mbOHZ87eYN4+vXj6wZQ1+CIX9M1a0KXjvV24PHnoaBMDgwi0eQTUkYWqd6OawT7XDgRuuOSt3jRDLwEHD/iUlMb6cXQWM/mpqu/5JcOpgUQFSMNNoNrdA/1L/Q14vjAE4eYkvG6KtWUbICOoMgqZlcgXXd5mwgurk733itvsp+0ipeZXbNAJrobBPIa2W8FlBpZZ8kaPVqJjWJm5c4cA/dCweO3P3wk5df1DIBfPj4yc/d/QgnYMpSbAuc8VAUJ/FzwbZ2wm6DJHZTPs7E6+bpLB4KiepZ3LJxw2u/5cb4VJDF8KimgBRFwi8hVSmILR6s8qk0r6TgxY74h7TgLb6YAMY132suTd/9xfNe2zevx2PQd9z3VcNiOLAx80SDb0WAt/pXDeBAwaRNjgx19jqKJ5B0uVnaeMJymg9ZpgWzETu3bdy6af2e5/bRectiToksKTd4Kg6fxUUYP/a9b7rpykviDC4At2xYi0c63nzrzXjaGK+jxBzS4RMnkZChgYH1a8bwNOT46Mia0WF+rbCx4PuXH/z0XX/8V3/DaTwGrrqS4IUqchhAGOetBRo4jbqoZzNFBgAMLLyhCpAp56UHSlpAoaCJfTwHjNj2Hz6O73deveuCZhVQ/Q1rxvCHh79ve+l1BWIZFJ6bxHukf/s9H8FFU6g/jkunR47vumBLNrUGYGj4jz9rT480tQ6kOjuUoJ4ctNTm9WvxlzHPfovbCDAbhN/RYc9Nu7B1wxKZ+wDrkSee/q33fAyt/NbbX4HnbFyEwDatX3P7K27A96QhnZyeOTU5jUkaTIHjbTgb1ozjne0b14+3TqkC5LkDR9//iS+8/5OfQwM5pojcVSwey5m6uaVGQWLtUnEKBrxfvGNzKZ8bhdnfz9/36B/8xccfeOxJjFG4lxtdi1sOVSAUX/Kh9saLMa9CT7PzNwkwJ/rM/oN4x7UV837JQukE0gzrVK+QADmmyrGTJ75w36M3XXUJ7sxwk1ffdM1fXLAVM6/zuO3PlrybJC+eKbtpwu1I4F4H/FVYZ1vY+8JBfCLafa0UpmaIojhcswfwf03HXJAffR0/OfH7H/g45nTf/pY3XnEx7lmpPFEqTRxQMPTh79pLd0bb5dCYKr7z/sd++/1//eiTe332F4b5+MtjmeOEJg8ka1KJ2fVxgwX+vHguBObC/S6Bc8FZnm2pcpu+pF5lVwYH9OIDOP4eOIr5xVpj7d136L5Hnjg9iftL2lATjwit4nzwhbAZQDHBK98v3L4puv7yg08cOnqMT/jBMZuq/MuOijk51ZK8wcy9Hjh87NN3PYjxYXxkOCPg3pqb3/WRz5zC6/Rr5q5BZJPFdVftZErHOgQXLBtdDU3SpJE5jRjMZ4WLKUOMbwXx3ChMAI+PDuUxv4Gl3DXYXwNGqrMdGt1d6EvgIbjUJHd99dGDR16D0ySf2neTu776xJPP7MNn6ZwTiEpiU0cJYiepx0MPz65sbWdaFPMOxsbigVECfZrYd1t+7Q8/gMnd73/zq3dswZPuxRJtiptOrt61Ew814CQQB/QDR45NTs8NDfTjII7PN+Coun7tWDRxpwD8+J33/eaffXD/oSN5QJNPV4mEnEKhsTR4iOrCrZt6ykt5GibLY+w/cuL3PvCJ93zss5PTU7TwHy4Nj5Qyedym5mjVMblWOBvf2VNu9gqSsyHZhXiGVlk67h3Qysd4NziP8QwNDeQGdXhzGUur9GoGVjOwmoGzykB9AhiDbTkoARE3S2IE4m8tnljnc2sIfFRO6joOn1UMwchRA+/sSUMrh+dKxZZGrcTSUlghXHRYQYuCldAdQToKHB0audmMt7SFmzaJBIb53378OsezdHidX5cJ4OKrUE3QjhzF7aZOdDToIGjFqTcp0MFq4baDnnUwDhcR5NxF7UQ0qMeZLKJKO8iyFR2qg6sGvBtkiTNAtKQ2q9W32Il7h8aG8bZnvLd2dmZuccHfqcWBB980xazwzAQm/4ZG140ODA1jqnhoZO382MLg1NTsBGaBZ9Ev+Uxna+SMyiJrldaDaSubNQUgzhqkDTjzKrjurQzDWW/F24K1YtOKQQVHhRUkwq1ByCwZu6DirL3Ag1R//+DoECY756Zn8B760hb1iCq48DU/y9nfqVOnj+8/uGbj+vXbt+Gi79DwKJ44151P6Zdmu+cKF50Mj6WPjI/ideUzk9M6aHq9kmrFf8W8WqjbVaXhOFwXNMr4oTK/MDMx1T88MDYwMLxmFC9Lx7tN048xxbO8FlsidojxfrLePjz7jJ3z/JwYNGojRoikkIXqYHXO7ORBm045g7STaIUB5Aolf22o58/ZCmNbVY8ZQNOkxmprpDQ1Fy77RFvQuaGNjTfi3vPwE9/1bS/zJ2KlPTU7++hTLzz8+F7gdNm5shcLhJoGXjw0rlvkWEyx6IE9Mjx83RUXx0+H4irV7qf3ffWJp7NRt0hcRwTwFVsm7OcFIzyDpz/x5WOfAIY+Hlu8+epLLtm5Y+/z+1WDGpoXa9XL/NgOkZYcHP60CchNnR48X4uJxgzILaYYL7tw25cf3K2XCkaR6IxJfHBUxMeSP37HVzBF9/bvfgNebV1rVqjh2jdev4mJ3q0be/D5tCZsk/PM/sPv+8QXPvipO/cdxAN/vNEV/lCdPE9mmbaEe4uCaKkkoXH4TN0EpE2f0IiAtNAzjNTT5Tv+sLL/pkC+L8LHZXv+auxZxCO9H/jk53Y//dwPfMdtb3jlTXjoyjXPmsA051PPHfzgp770wb/9wvMHjjCU3l5MfWGuIkwAM3TN7jLY4MxpEXEdtF4U0l37VVAnXCTHXtz7wv7//O6PPP3Cwe9706uvuqQytQlNzATj4eD0fPAlS08MYEr1wSeeeddHP4s7EvDIZayk50EtCJEIjwQc0OoPoqP5eadxaftjd9zzB3/5yceffs4827QvY0IUNv3r1+Gzb9wCesvVl197+YWZgXsvFvA2hWMn9UGOWlVca0mCHuGX10LsEdIHduOduEcxeelTVuvWjuHxrEf2PGvv0/Z9KQ0vPsg4saTLrz8FZsCjsmGtwnGRCIx47/7opx/fu+9//O43vPqWazesHW19h3PNajlFPLz+no/f8a6Pfvr5g4f1Tg63ykMYGGqs1GQx8qSsqmDte6CjnEcC+Ghyrs1Nan5xdH4smgHX3ZKB/zaUcjQF3ZpwQ5B5l7rUeh7RbLFhHNRTz+67f/ee6y6/EPeOJJFtcKR74eBRXNZJzGzHYsREaK0L9REh4reKpEGlooqHB/E+g3ifDSb473nkCRx8eQmymZmKdS54AMpTZvsWXeGz9zz07a9+6SUXbvW5NDj9lpuvev7AQRxTFKX3GDcUoXrHdVNBUvCd8AZT+7lJLLoyCNEinO9WLxLhfoXPXdsoZbQShid5GaG4YSREY+1/nZGYPARTXWI50fc9+tRje5/HjUfNmy0+/ZUHJ6cw7+ghVMFiqbsKw8V/a7ekmWlEgf0Oa/wVkNxtaWU9q2cRt4P8xz/7qyeeeeFH/rvXv/Tay2rvrMaEK/7wmp3tm9Zd0XbrZwxW9N4XDv/+X/7Nhz71RdzBQH/mKqmVSLKdhwcCS1MhK56v7YGjJ//6jnve94k7Ht/zLB/W+LuxxCSiTT1rHv2Ln7jsCi2K1+GopEtJWbK6/SbPwNeuE36TJ/obpvrNHlOfAG5WFc9zzvEhHrxUim929MHINeMZoDNXTDRDWzFEMGiggeGnu0GvhaybVsqVQovxkqxzBqCHjiAdBYqrLq6Xl4y+m0JfPx77QndaxIN0ZxbaPr1Z3BWqG2KrzE2dyGpg6KwmM7pu3dyJoi4WwOp4Lbqy6igooN0oN3eixXkEgB40dMoZ+VXa0arsWmlpraU1apAoKsLMdwQRS9QuW5UtzrN7h0Y5rYtrsQszeKLXEbMSrvTNn5ldmMacVt/g4Oja0aGxUTzsiMdnhtcuzuEXwIlJfJoMb1a0sykLr2AUKsMtbys7dRODbHSZ5eEsS6s60J5tyBVX5wUEiAWnUPU+UHFcCtEAXOWS4pqgWLRTUEcvwaMPg/ha3hl+8nZxgRc2GjjtuPqRybeL4w6DqamTh46NrBvftGPbum2bh8fH8e5xPs+Ufha3I3hY+O2MCWA+ATw0iNN3u1rqwmY8QVQhl/DSqFfFuLUARDwNPzcxPY+nY9aMjKwf5W0TJ+ye3FaDNuZSYdEGDYE1LqPM47+umLZBLZe3tMukkRXztqMDhCedJTWzIqFMuWpRuivEjmp+o6hjIB0EVScNJZvRqXJhcS4Oq2Df8KWSqtZMO9MJZAS0ivo17kUxNY+Y1ivKH3aQVn28Mg7fR8SsDz5mGRWO4X139z96apIzN41LY1FRdA2cRTjExlZW4h7KpxItkKSfo2IRrzt+2bVXbFpfLgrjfW6YUzl6/HjOSXskGUSRxHXZVTg+4lcFQujtxYuv73/sybfe/kqfHMUjsFdcvB0PAWMCOPuy2Anm2WaQpUmjn8rVQ1PLKYuxcVxvtIJfbTlxegIz05g286dXccn4pqsu/dw9Dz1/oP70ZHDucZInF7iG/qUHHsbrQL/ztle85fWvaH0iNiB0I/GMyOfufeTdH/3s3Q8/jtcbWrTwiHakX+UznCKWhJtCh2zRIbNkSyRI2wPiEjV3AVeWgvDFBH0G76u8D0/qvXDgjvse+d433vot17d/3FrGS64PHjuhdynf8/BuPFqdG38RD81gAvgVM1fiDkCANJqUPFeOXpqtH6Xnm06X86x1hO2cWhpL8eiJE+/+6Kdwy8X3vuk1b3zljdvDg6fLDw+PIOMJ+0/eed8HPvn5x/c+r2+mVs3pMe8iILyflEgsh150ogpzziVM/3zlkSfxuuzP3/PV4ydPI5Dcwxkg29a6uI0eyZka8aIdW2648mI8N+8h4F3N9z7yJF/x2tK3S2Wl39YT2pPw6J69Tz63/9rLdg7YN1NhjudZX3XTNR/7HG7yOBF8QaIsea5AOO1hnnfirF3UDCvDbI78jA1oqWo2MrhapSLI590PPfrks8+/8daXfv+bX3PzNbtGhypfoa5oL6Nw9MTElx96/C//251ffuAxfG453oLj3VV9w8BQF44/2uvVuGVt/Yjy+hNfy4hj+SrA1180UVziiIZOc3GmIzgnKGPnwNGca+wPHepCuzZbwmQ+QO6879E3v/olcQIYCcen5fHZzuIw6xdOV4onxugi5sfo7DHgXH/Frit2XYDZL0d6dv/h+3bvwVuKYMKRPK+x6xBEC/itiyuYtOj3Lt6Pw9D+Q3gIWO+rgxxOX/eyG/7683dP6Q0Bsq0htHppZbohCP1BrUbLMGmqDrZmNfHfOUYntVZn54mJroNuoyukcseRX2FYWSJVZPk+AVAM7XwzcYSMtf91ApVmTdrCxCec/vbLD+Dj4rUJ4KeeP5Tf/8xTzBpQvdhZTltI9Qczaca17XdQs3oaMMI0BTL17IFx8EWRD33qzq8+8dT3vek2fPuj9ihwPaTOZdwdhVe/fOBv7nhszzN8SzB8yaOI7D0C1DOg+F2jVnT+Cgk8U35iYvLkqQl84v2jn7nr4T3P4HXWHJoUGNCQK4TXFiGEMchIrzCKs1e3Mao82M0jXRXMiyTOU9KqHkIJ+NkFR74ufdjDCtar5GoGVjNwHjPwIuxkLwLksitczrc6m/TiibupOXwGmB/26wlfnuBp2bkv5wUEYXTA8cGTjzJ3UrJa1AFKuVChumBm7MBtIVutW/SWweoI1VEA0BZZC2sZ3ttVmATcGzCIc/f+3kW+eBUH++rvaro7Hy7PB0aqRDtUO7db9B0tkp8lNjBXJxLO0h3K/bll8OA81wrCJrm0lmk4akFoYRVhbusqvEyWrmDESTSMBjn7O4jr1At8//NM67U9ats08CIedMSrFE9ODo2OjKwdHRwe7FszhnnBBTzKc3JqZmpqEZ8GZnTVCJO3ykZRV1hecGsRZ1U1B+tAyH91oHW/HWyWxT4HEMWUvBScQi0rAFNqsWlhLRePJ8d9mAPum59ZWMBkv9+xTgDgooWWQNfZNV5gcGZhCk+aTx4/Nbz3uXXbtmy6cPuaDevxAPqyGhlR8DNmo/32MuoS/RLOXRF6XVW7Ch2ljcDlst6ZqZm+E5N9g/24o2Jk3dj8zDweoG9TrvOWcGtiNEHfQG/f4ADuAJpdwET8EkZ1H82yGs1hnGhqroBT7wmOWhcIE2L2jHL6IDWssVAotVRMl5tq/KDSnfRYKrA1G/4mPVsHNahvkmJJa9cK19S8KKI28eVFQErB9fG6CTxQEl3hQTRIXSGJwtBeE0GC9wB//t6Hr9y1w3GwQ+Hdrfc9tkeztc7vRLBn2vwq3kWPKUz4p5fFRbwzEx849HiEpl4tKIpMF0PZzu2bX3nzVV4dxPDMviNfenB3Quvk21xHYa2CcudOIZ2cnn7giWdwwQgfLnXD8bHRW2+65qOfvWsCB+7MZXhGc419cxF3+yxyJAs5R8IhkpryAF0VaaqxXpUMRYpscU28WA9fXH7VTVfjfdRZ2HPLNZe9/Pqr9h0+hjldgtviJomwwOrMnp4XDh3+o7/8OJ6/fN233PhtL73hmssu3LJ+jc8uZ7D2LSp4+NgpvNL2w5/58j0PP3ly4rS868IQalO7QtTktOMugwtkzxbUveiuHcOdSj+HhEeBT3/ss1/CzM0rbrrqTa96yUuuvWz7pvXLrDjAT0/hvYgnvvzg43/1t1984LEnJib91iXmGL314JFjj+G54GMnt2xah2PPDHo530Wk3bR0tFiLFvB/swAAQABJREFU3CO8lXpggncwxo7k9TpHAm8Gjh+TXikaKnP/o3vw3OmHP/3l73rty7/15mvxxtT4ouNOgHCK2wX27j98x72PfPyOu3c/9SxmzatJaDHNrUaRt3WNVtZQL2RsoF95boFaDksgqOMLh46iib9w78MPPr7nKKZ+NWLZwVBNCKea5JL31MfUkL29l198wRUXX4Aqe6q/+MCjuDNAs9006V5zDQuKOLku4XsAICamZr7y1cdxb8rOreXlxngE7ZrLLn7u4JGp6Wk3U5z0bCytMTq9GH0MHtC4OIFFYyDIs1lqo5YX8+7PZjbaqwNCNCROKFcKAI9ff+ATn8MdM9/2suu/81tfjhl6vAbAn5xeTpBI14mJiTvufQy3L3zxgYdPhs9duzkallXWmI+2sx4MJkOijE3bDFUcHA2nZ+ZxjcvRzhcxjeawGJQZrQGuvSXGwxjCfgRDNKNbgegSnMOCwLuuMPR57wIsYKig+jcqVs5rexYx5/rA7r145awPy3iw8sHHn5rEXHtp2wZEZiy0uQ5Zr0ZQqtT7ypuvxm1VPGT3pMcEP3ffw4eOHOf92lCz8NMavlTMTpfeBn3MS+Hl7TdeuSt+Ex2H4Kt3XXjPI7vLy9trR9IYQEbDjoY+k0v4mC4G1RCbC2wPWiJINo8tRAiEFdmaM3MvRueEJ4aNvuh+FYav1ecUEpgguvRCt3IiGorpjkSYAmJAJvv7C/TsfOXk2fE6E4s4r3j2wFG8ASIm6m+/fL/1IrrRSBCPa53QFA/HC1tgaEcTi5UDTBZ0sIeCfHWQg72Ip+3/wx+97+N33POmV99y28tv3LV9M1717E+ldzbswbzv0VMTf/Ol+z/9pQfve/RxhKrGU3DYSX0/dUJouk3EabRjTQFjkg2DK8s8czXLO72NmHvkyWcfeGLv08/tv++xJ3HWgSsOSoX7AiHaObGyHqTNtzcj7Jlb4L6wzJ8/EXmZNIfNnEqYsK1TsxcABqm9e7EHozveh9Ral2JwLhS8hwDkd8keeC4OV21XM7CagW+SDPReefGudEjHQc2Oa2llAzBGHly12rlh5JItY32LZ06fOIk7rfzExnLU+VjYJqnwwrh2VunOYF1xcGvb0PDw+Pq1CHvixElc/i6jZyeAAlgoRZgt2krNOtStmxrL48BrC1Q7NyLWjUK5WpFotFKaT4/09w+Mrl2DWbqFmZmJkxN41DKdI9Fj8NoNu2tEy8PoCmHdGzjtUJlbIBKVBY3QOwoampFR8I0LEPzVmFG/0PSns6LCq1HLDmkJxYa4JcAWVi2aTqluqC3FQF9as2kDJqvw/ueJY6fxGls8rdTJyAUIEC8l78MzRENDI/jmD7+wtYinhPGy37nJ2clTpxdm5+upb6tUC899dAriPPDpw/yY//PoUVAttVpB0LT2ALvZdXTTUqEWVjfoKIMpLt0MYJzfhM8Jjk+fnjqx7+jCDCYAUqCmXAZ+2cKqY3zZDjZ9Q/yq9Ni6tRt2bN+4fSve7QxDnoi7cS1y40+fnnju4ScOPvPcwlyaIfCfEm6nMGwdISCvFXO8kV3c51ip5dgV1cjHGNI/NDCKRG1cg0fvTuPX5MGTSTtZawozF+S8hOQuTFDOBshHHXFn/djmtSOb1kz29B86MXNyGnPBfen3ElTsx5NZpl9WdJ0h0+8qv1c46TPb9hPL9ECHcRDm+NN910aIYR7YTDABB4uv4QTM9DFLCDCWUMYGJT7BiaELdBKZP36slEXzLwLq0CccCfzn1ars0ozANFThsWRi6kaBCjaqUaTKMoxcU0bjXY7XMs2P3UlNZQtePdKCMXz6oFWAMb4Cogy6QTPpUmCLqpXCzExss0neGk7mJiNvUrfLAmeASDwCBbGRBTwbBA3TL+WmbrZZ8ZbJylWJ+bAs4v0RkPLigxV1f4OuRYihdQ8+3XTxBTu2bSqfh0SsuEzwzL5Dh47gVb1xSbGb38gnPTAwuGPr5kt2ls8AwwEeZXt0zzPzuOV/qSW3cy/ug7rs4p34zKplGWz2LMyf7d130F6Ol4AgyNXnjoirxuhm+Jz51s2bLtq+hR/4sPrhks6pyandTz87MzMDy7NIvgZitp+FiCJpu26Hm1IuvWjHhrXlW6fwOTk9i7fgnjzt77hjC9T+jY6MXnHJzrVj/I6megbmg5/ff/jA4SOqtfNBYAlhC6rB9mT19G3etP7i7dvG8OFAQVvPwOwUvtM8NcOZHrEzZs4i3XjDUugFOQNjfHTs8l0X3HzVpbdcfenVl160bdM6Tenhvb4DA/2cx+Ks4QIeiMT7jb/65N6Hn3zuIbwP9+BhnAsxezY+YNC1f4hCJLgSFQ2LkKtE2CaHkbYxESm9CtmGNUpJWIfnk3csYnewoanUDfWsuCkh4BUaOa6e3uHhwcsu3HHz1Ze97LorOAW+YS0qjlqP4IGsfk7wodaoPq7H4XrfvkPH7nroifsf24Pnt/DUtV5GynjKQp+4frp966ZdO7YNDuLbaZgJm3/+4JHDx/CcOmPiyKsh1ZoCPG1TjajE5YJtm9HbbXYq5kh9FPHnyiWh5iJZr06LNzpydvjEqX3sM3YrgyUupxFappjqpI1QrSltldPXi7ct4baMG6+89KXXXXbdZRdvXo8Xh+MT0QPKniZTMeDMzs7vP3L83kf2PPD43oeeeBqfp7Uxq+lIsRd3KOca5Yolo2zLjs3/a8bGLt6xdUP4OHHMgycrE1FotLUiaos2nZqaOXL85BH8SMd7X9lSXFhvWyGeRLMfZZaU8rq3r+/CrZt3bsMXiOkQnXPhzOK+g0deOHhobo4DZuozaWMqHVcpgCz3fFhVbMzasmHDrgt35Dl4dg1kBB9HRxfF24/NUEkSydQRdHFx26ZNF1+wBXMVGVxbxZz7mJVSt6O8Iq0aVkqYHH12/4H01vr6DSEVzc6FMGwpYjW71QAr+8M4kCrkh0XWjfppsZSlPSbTfTg4Xnf5JTdeecnLb7ziml0X4gPnmGvEnou9Hx1Y74jGRCBm/jQbceDI8fseexodGDcEPPvCoeq9C8Wd8LNnbrNjRmtNAwb1s422XG9av37XhdtyO0YMwqic9r8MW9gmtp5ZM0zFqZkZfC1+YhKHiZRKE+hcAt65gDM2OnrZRRf4qy/AQQp2P/XcydOnTAHBMxKtDUGVEhkr1btjy+ad2zfhh6+aA+2EFzjvO3gQ+Uza3Ta9V1160eYN63Djl7TwFeenn3sBX6bvZpRkvTu3b8Xeh6ZU1uR6/6HDGMwtfOixIliM4gr/caS7ctdFa8dHxUeecO7x3MFDBw4dQXPnTqU8QV1pBLHiRW4v2LZl1wXbBpEfRYmxZnFx/+FjGCXsnAewWZC27EJYFEFa9/Rcf8Wla8ZHrOkpRns9t//wwSNH7PBES6uoV7YQxDKpCKxz3bh1LyCwrF+3Fl/fGMIXzV3kZoHIkeYe4uVUl5x+mJhIcsSkNjrAsPlYv8TgC9s52ZVLMqPbFuEnsRF2wLNKgWtbrkZGhq+9bFd5cpe8HnzP/pE9e3GzP+0dJYHVN3KCn5k3X3PF+NgwWkQcjEt4s/fzBw7phAFmsVZCSZwAuWnDBuyJ9jB6ER4+dnLPc8/rpMtTAIIattZACxLRa62GhIKqLQ+sW15kixIOBy+97vLrL7/kZTdcvnPLptGR4ZGhAYAM85mHnpMTU+iWmF7FwP6F+x99eM/zD+x+cv+ho9inYCvABGubCif7wtbdkWA5bVXierH3uisvXYcuLVGJNCU4aRY7VhbdBmdqp6dnjh4/hTcD2bgWLFN9U1B04t04pCIhp6A8UrCLM9PpvXzXhbh5SONtAXX7NkIQairKC6Q5iix+w/DMA48+6UNlSkUdVp5ZF/ywwtkPwK3OZVW3CE79YKE0JxdBwW33HTm2b/8h7KHOQf6c7hCby88noeiS7xJCzYUJSkWilNyKXSkUKho4XccrZXQ/aS2B4FCp2RqJS3zXI6ExhMjFoSmQlR0noWkYH8r1YMQ307ySEq/X1JTNaTTIvjMv6Wc27B2jApUvQjHWrMxtxkkkAwIbu2RVRmZSJuUlcisgkCW/cRP0a+Jk3dgknAgCHT+21vgQVaJIYmN3TEm2KSFLH2tNJ3gmnW/NnMHzoJjbnnyrKNVRSPxc4QgS8pHZhqqVrY2PjsmDhbWGVkldDVTldxlzAngC0MbAEXSCA7PDBLDVFVEDCKPPljXDF28eGx/sPX3q9Ey4s9VAPQUVTyy0Scgr9W2YrIzRbLAW+y4TwL5nFLMUGzaqfV1SiV89wlRKXWV3vuqoQEoUoOqBVYRZXPdfL7c2Tg1pmUWbAB4YHF+/Bi8+nZ2emTw1gSs3lpCG126QJYUVrZVgtECIFUEKXajiMUPoYnrhO9Vm5MKliYxf9gIAOrPdvrj0U4e6YlGpS2J5aa0OGgiwLqnE7HuSceuqMYQV0gaFT9ttwMdd1oxOnTg1cXwCzy7VouniEEMqLlxjGngQJ9X4OvDYKCaocFnIPhs8OzUxNYtf5rxAYJG3jSixoo3BfYXVWZY6a1Nq5Kldlm1XpQK6ZJfrjGMgbXlqNYnJSwoxis6sVrSOTGDiEtLw2PD4lvW4DWXq6MlTR06e4RNg0SSf90Hb+HkbdYwOIUoHfQjX4/HI7Oj4+NrNmzbs3Da+YUNvvx3zcdwP+rQneO/M5NShPc8c2LN36vRU6lw5ayUooteMZR+ZOdY2N3THxfUd2zlSyL6hiT2ir2dwfHTN5nXD60amT02fPnh87vQMDZK1+lwtMgfMLhKjwkdNB0aHMA3fv37s9HzvoZOzk7P597DwMYTlMyVFnfxiYyIWbfBNfDKRZ2VZqTj7CWBrKqQCOOd5ApjRYrHfakBX8Eag11md7DIA25tcU1e3SDPNLKxOAFsSkYnQo43FlbFDqVp2wTkS7CKpMQOZe+AZ9BubDTMtTIWyiAWq6qLJtIAonHjgrsBmX2GbIXJFom0ewky2jAQkW274L88TcpdCWUv2Yxm2ijDVINiZtd9VKsiKGqMYdqfqFSpHW9gpDBK2WJhWMUWckREJU2Qb0XENLRMnbZpqcRAnkoAbIYiRzGuhysrWXNklcRBY5CFtAmYiM3QNVqlrqpPT24tpy43r1m7BZNr46PDgINJszxjNHD89efjoidNTurhmGaK+GeVg2LLg5CaGzDkMOBvRBku9LG4lI7kGZKZOrs4PXRG2H0it2SVSZqpBlkgy3xz3jvGzxxt3bN2IV4/iPbqDmBjr7ZmfW8CsA6YD8Xnjg0eP2QyEedOOBktrLGVY7rxd0qdGczbk1+7UoWOZ0HWKnjsviy6yEtGw2KqSzJTOnFX6NqW2vCZfgjd38hmzCk5iIoAcCV1jSSFUfKmaXuXevn7M/27dtHHd+ChSh5secUUW14vxxOTBIydOnZ7A2wjkIQ5Wgq+vc11S3atij9wDRrRkYkn5qxgUkFyLijgUvNYJTZmUQrZVrcHztgDtmZeucDxO1pexMrgYp3uRVcu6rTreFtD3JvCoEIkzI6CCKd6tLGZSyzl3fAJZ3+Paqq8qi0krN3FPTY6L2tSDsIWshKeAlUPPJDKLw4MllWsNCLlcEHNUlYroPhCr2tjoGL52iTfsbF63dmgY04b9+IfZmoX5M6enpvDtcDy6jT48N48PwVpLlmaks5bFPEImz8k/NEFx/7cQvRYh4HonSZY0xOL5T01gUql0a5Qcn/ygVCFS34Tn3D+tRipm09J4chTdUScnoQKSaglc/jMt12Pxa7B4nCXssCO7VD25EqcXqp3K2alKrXXItWwVqilTq8lx2GcRkhbYgkgI2qYc5pFE7WVrNIC23mrZFJaEiZiCdXAjUsRuDkK0CNEIhs+CB7/OV5xVzBL/Mvle5Zq+8+Wl5isyO9EeZyS8IiCcBkJ6SUOoZifYyBeCc2pF50fCqylmKnbvPFBV10ntyl2PhuGfcBAACKzRUSFkd7U9Xb68G6d4Mqbh4LSlb+2a0Qs24zRwzcjQEB5gwEiIf6cnpvCymVOnJ/FqsoSjLNkOLkyusVTHyeRFm4qv3MMhcjJnQMELD/KErASYPpEyUZKgzFCQFubAFhGp7rZJdNZMW48Q5UhX1Tw8gVTAXTOYq10SoPMzkaQMPkfRQjkuCdYq9FKLxzgWiuJJaqxHWnIYRAetIteFqmrWDHOxtpV1jfkiFXNzdoI3uVe4okVuMhe/FApVsciFOl4p5ytJVeBs17JNTdNImTdZsLGrNoZcHJqY4eaOnZrXNIyP5q5XR/yATKMOyuY0GmTfmcctlswGjjtMIinYVaZCGkWjjJNI8sHmjlSRyYExaWXuCn5WpjVHOFviJujXxFCNil5KOFUZ/FpwrpXExWFNPwXSnhIKpZ9jEg7W37wTwLxJMLWvZ4N54sHNGbP4uOb8mbW4PdNuzXZ+d4L7SGq+7MHSX3C723eVEkkODFM9dDnIFR1FSCj891jl2DwkkThca09JZXNtfTR1LPEb3Supr3hTdkuYenjwao4TXKmQNLjnm0YSRN1kcvabAlYoOsOJS19fP24Gm52ewwkLmibK2/1ZfCnIpkZX+yjsiCCBqzpBX5VCdN5RYEZR2tFvhGvSsQMBDijqQE1NcqLDdg2oJCVD6xTV0kBtGoGX3ASO4rFf2goUvk3cKYYOFWhjJzcchvBcEKb08MZa9K65GZwML+QK07ARTx0NlylwynwG3XJ2YW66f2ZqbnhkEI+KDo4O8bXSI0Nz4yNg4rOveHs54Sz6Jqzt1DZ5kz2ch2qW+IvDBpVjyn67b1uiKojtpk15CwhMk15TvQ4bNSJU5NOmWq6W6pjdy+goMMcXCjD7iO/4Tk1M89GP4DuQXZEsiFokKOLHN59HmJvHtO7E8VPHDx4e37hu/bYtazZvHBzBDbOLeO19qg92ZwSDH4H9fbjbAD3tzKnJfjuY1mC7xFHRrBS6GLWIUq1rCAjuTC8+lY3npAeH8SJoPh+P+yHY//NSs8jsvO0q5q/YQZxX9Nqb59IOlS1Xvu3qa+Vw52aBhC7jyFb1cZYViD12SQhccqg6/cYv+XGvQ1XPMiG1VHtRhPYQ0Vj7DgPamNz1czyVAJxrUo4RuR9BjcKskLcZxURgVtDAzA1e51MUbFtIhBjOUDlSZSzS+fgXKlKCS2gWcrfTlqrX6A6SboZWUQYILYuzizJE0tRl/bomy5YJJ8x3CY0/nZNKcoWKKjNqBImXyGbBixQAUdTamzYqtNCLi3hgE88r47EnSb2LJJxsw2hVtczBtsJs9BdKW4yCvUjgKpvWTJlkmhhDkFIdEzlnjC/laj1TPB6JpVTp9bOoVMSrv6em907te/r5FxQFfUmfKTCaRWNJY8k1dFsbrhO/FTAoI4iSc+MrRDIpS1IyIdViu0kunO02x0AnXiVzIafI0OLCPL6Siz/4SO4Vg0XjHCc6htKasZq2dHIdFRKRG5X1UUVRl+CjF8exK+ZwVdRqfkMR7qgGW+VeDlB3G1JTNT0VwdDJpb3kIB3NbVsIi4R8q453BmMsA4D1KTUSTgHxaoJleVbdaZTH7WTiUpYri3uocFdUsPa1+tGMBz5y0u6P6DON6NQOVDMjEtYajJc/sc7gBJE6UJ2YnHxqavIpft8dulysUslPPkTmlk3lgq+ME4rWhmDpQoEQRisGrOFadEKXTnVNI4lpy/8GmmxNyrSzklRkqyEai5lA/JeqgG1ZPGInIOP8phnJSrSvQWARsiuI6XzTSMlB7RO47RSgZVW3dTXHejEJxI8A0toaqB4Pc5wjZ/KZQC2eHxTb65I1y1atVcoFMLWRQan5tIZuas3FRfxyQQCuSZgSjkBVjmtXyqrsZQBFkVWXGTFD1cSMa3UkchzbAJIOekrkR0uLP0nhDWp5DcxUdFgztGBINQmTZ4RUqG4EXuV1LClmiZ3WeYS6p1cKOjqZBidodkQOgtSObgVRpINmImMVmCPLUlOtxoGVFiPolE3MhQhh8f5T+NFj0GyQGBvPnDo1cfo0Plef9n3qEKi44L5gnp0o9e1ScQcpSIZtxWyXtwnRi9S0xThYJRBsEAXLHApRaOvkYmYsNXxAS8jaGCDINO5mo1SkAwotvJQF0OaYKyMIFM1Jy0oqVowKNNAC0XlbcujmO6AqGuSkvO4blUI8WptmbRTyrHrXCnjMeSs/6pw32mt13hBXgf7/zsBqm55rC5y3DLYDtXPPNWjZL/ENYBsR+VQyroBjhMck35JuGW0lYivw6E4wFuLRDMUVLkTQuQLRkicef9xtZ3xo409DcHJLADEEpbXhZjJtZVApGEvnAZmfzgs6x5D8dt+oYhmTpXS2kVlt5knGDQ+RRfUcgzFfRMuIEZvO8G3ogX50DrzsFG8IxxtB0uHVDDuudCIocYwwe2ka5hiiRuMsjB3BQpVW1E0CU2is6oqsrWGV2hYKIutxRJHDBl4Lg2cv7GuG43G2QzXCiXhZyG3+r0Ak8ZCyYjRu0G1KxmOcTWHm5K1UUCIDZ8V9i+ndUSvITIkpojJXBBkeG8HD5XMzs3hpM+87t8UVi22TyrpIOd5Ug0lBPBU6P90/MDw3PDqE2d+B4aF+vIhtZG56ZGBuCp/0mebtC+k0M2exeErpMEHqAFmp6XsJTkb1JLN3aAGRu3VhZGG3LXajerd00Da7LKw1cxeQbNGGBl4Ri7JTdZAtWSqquQMZJ7A7+GiyaYMnT/EIFV7ciA8Az6Gr6G5i6bakpQkCTkmDN0rR416LZRavEF+YmZrE1xBOHj02vn7dms2b1m5YP7p2DM8Icx7YjpQwwx0xQ2Mj6GCYbl3sScfNah5a6ppY6IP8RaAS1m4XTSLfomewiUkDSz55wV5FVAX3Q+DZ95nhgdGNa/Fs/dD07MzJKQTKXyINfVmpnRLdaWORavxnujqprYi/BErHeDsHXEdE1GJ1FCDgJKNuVsPWKhyqUyu3p9P9BcOlyRr00gbfWBo56cur1cq0A2YZBcgsTS2+3SSErgB4HonsTBRbnh5zh7WGNddYdWovk1c0zVPuYEJPEeUzIztb4i5NY/7gN5DacaIKUwLAgK5/Zzhlh4uyfDSSdRAIIufFE4YLQnutbZICN/pnCvTCQLIxy1yalyGaOlATqCuraAAUMTy7akxAVq94Ae1FEbWiQGhoAxCkNcIVSOTWSUHGGrkopIXRmE1yyqGyEp6Dx1pHWk7rHDfLRKdKZTm31MkBAJBXrq3hQOC6OeLEnxMCxFrxwxyEmBFTdI3PYs4MaEnRSGBj0TV6Kpj3GpqU5As0CKcVvEASVtU4ApKWKve59NuvlkYpKBUKTO4QIZ7eEwI4ygkUoOnNF/ElUizgw0ShUsd+Aquy3kuFw+hyn5Et16XnWinsL9FjyiFULM8QUTssShoYMQBGZf+kCFGwIBk5oB1WFakpo6g9hYaode7YYkYoKSS0aru7iwgeYaOXpGNJS/hW/WgrmtW0qFjMfV6iWIxBgvYio4rIkU4o3Hic4rl5UEmk58fbhea2Q1FEZyxrqeFAgfHY4gRL2aTgCMl6aWG2gVciJ6gNevXuQD78MLxlLgYlXdUCaxiTzZenGI+9jgyOB5KmfpjcoyR/KJutFTFnau+a1VhPixCWfHmMXiyEeYyBgTYQOiWSnHHDRRGxwEi5JkvRoMDhxDRNTypgcbHqQkZMm9XmcdPqw8r6IcZkpiMzpiJRyUsqZTG31JFW1rXAqprUM445BZ3cN7SSmvQzrILm2sUmqoHUpE3sjhxFlcU1WEaLFMFjLQkqim+2DEAxC8ro1vxU6pL9+rYuNZwSlVywbFHJzGNTXexnFyQIqBi6AxHC0dpUK8FXlTuCQE0eq/oqwSplhFSmXdNiLjrOV0cNxRrZLZiaapciU9M5OV0MKYq5A60/5+O8hZm3DmP7HsueaFSvkbIoTeCKIFkF45hv8yNFc0ayCQ6m8LPI3AMymVv3VhEDIs6nozcaEzYtqA6HjKwTRR6MGpq51fCiNQGYlGgiXgqPe4qc8UJDUYsmPlhBU91AUvCLQYhYzIrIRrzIMSiGhT9mBq5zolDyReGpCNqLTrhmDtLGDePKnfgJIfAljWsKQwzJXBF6TcG1nQe67GTccJV5VhlZVkjqxEWZTmsIkFDlNK/Fw1oJV9G8sInxD63FIv4hNqWXOUz6yk+suyOAqC0yrzFXi6sZWM3Aaga6Z2CJCWAYYzYHcyfzCxyn2iaAbUDNTjhy2v80hNqwKKFGYDtU2FGHI91KFkDBIF1wy/BpCMcomzg2sradvkFuI3TSk2cULCArJQk3RqaRPNGJC3UN+gLgMd1CUm1YNGM7bwtjv7SXs3Z3AirZNEFnhCLmgbiUrH4p4bBm0RZoOJ15HbeEYzwJNmWAuYCA/aKnH9/cwuQars8s8NBlx7iOcCYouUIgtLATy842FoMCiUoWgRDsHXg5xtSIUbWVBQVCdFpSnbmpqrGsgzX4y8mkJQ1JMu2KQYIGWk5b1VWMLUuExqgKVAUHRkUSEWp0BnS2MQjlEjW3M5KCGcCFpOwG4OA/+pppqDriOXg3ovgTDpD59uZ+vAxxZAjPU85NzfLDh6nm3ZCSjIAOShoFvl7MpoHnZmbwhcXB8eGhkWG8IHpkYHxweH5mYmAOn02bnsE0ML9lYlVinTKQWtzwWc0V1zFFprBsRyEnp9C8aN8trGxiwXihhbAgU1RQBgLD77xYanSeWVPKLVj5qRczWdNnMYlp6mSqGWYbeE3aukbTUhaO7kRTs4XjrnAPCt59ONSP+09mp2bRxo5TT4u1Zh3KtLXyzDtCVJYObhKYx6e9pmdOHT0xdvjo+IaN6zZvGF23dmTN+NDwEOaI9IEv3FswMMyv+OQTdLYJB7sOCwVIh8aI1pbpYFhjW5VT8gHIHximUfoDvPT2LEzPTZ+e5m0Qo0P4QvYcn5Kfbw+unVtza0W4471AffO9vWgDflIL7GgOGn8llDaQlfLYZstDTJGkTfDT5JjQ2FhZq8EFy2lT5AEmMx3OOn7NqJoQt3Yb53wzE8trz/OfIWvsdliEpMO3dHBmbOd+ta6nFtcwWPsBL1iJSKvFVdPoV3xpxzwYXcOsFQu4mVekiMyO0gq4iBhxdCPHYT9VbDEq7AWCyrqt25qOD2k1fqstmHnYLHIYCkRELBalTMmL1uA5IXktGPfl/Axz3rbLRI6VWqbJeQuxK1AzMOd0tUtC1cVbAUWna+adat2J7+adAF3BiWVqKshmqIpEILWolokcI6khuKg74VY1j86XOYrOcaI7sqQO21rNJkJUc9um2oo45wsnOl0OZk0n5q0mishOQx9q0QqiWIy0W0lH+EKQyOlo5WGI6cUIEpETFM77ljFuUxkHhOqAn9DAtHc487ZGatnvPSjrUGhKZPpptB9YRNiaByko8bw0gCQH1Y2dPJPlRKQdPBsVZA0vUSF4FCCd4yDOEPISaEClXGWQdLHe+C4VQb+NQwxBsy3IlJPAoQIWOc18z169paCQdQohc/GBI51QC8gdsGJFx1wgxZqxObjxl7mqB5nNKnwhOz6anb9IvBxIsvFfFQjrxI822VPZhmshYBq8d0NpWd8XLLNCJQaThPidahwrhugk5lpZUjAJBhujVIQOYbnhygGFFtaWH7ehbqPWrA77FbR4W1coyoVZN2qk8xx13RQJdIhi3lnhFGGKkZ4VWCbadajHpSIVq8OajnIVnRIDa/3BlBz8VLQ90aUZ0iMzRrWkuDNydoayqwnOTJ0JoWhUBP+gwg0WtzJ9E2SWbQVmyUw2wIGEt5gJM6sbWh4D6cDuu0RgabTJoZpPwtKQYKCxJ/q+E2kFpXUaSUzZ+QqvpuBSEY6MYqRd6sjRUMwYjGjnSMFNhFxj1oqu3J2oBYminJ4rWqWlLIQmB+zI7BIom9jEImIRbcTjRTYWwbX1AeyLPAiiLaRGgeknA9BULfaU1jgoYolW4qyuv6EywGZfXVYzcJ4zoAlgDkGdgDH4zC/geSE+1onXsXZSA59d1P5jhTOlTCYLFHWE6+OIZ6ch6cCbFLpthManLwqq0xw9DZLBdQTHazpxgxT1uORtnTK+I6sko7QOZxfEyZNEdiKhJNpo7WFAZ5nVzCFxywhsm4gSOJ2GJRtllp3mZSYjAW2HGCYcSlbMysvbEq0SD8vMBgG54eGrr3ceH+6ZxYq3odHTUgt0UmKUKz6aogS2WMo/IzGXHg8tCAQJP5+NeSacYjGo+tLCkkpFEOM2gVa56YnMf4qcyiwhgi6R00uOXpZAEwhFtgCBfRgJ5f8OSbBQqC5jnV6q27kI0hQVUcCOFTJXYRWtMpvYwqcfNTMJ+89NEQPaHJhD5YAoKNK3caEgAUudFg9DhNmbLtH5Ht2R4f7BAXzVbBaPdeI+lE444hdxoWoWqAK6KfrrbM9c/8zMoF4HPTKEt0yPrB8fmBuaPj3QM40XRs/xieEzvC8VzeNVUIArq2M1AuUwP0pmD5LZAGb7gWfaUhkNO1YoKVlglnm2knqUtUMEybRiECTWlfGFO7SGDl7x4L9s5VuYRGbCsf2EaNAzVu7M+HnHwMCLVqalQAhMw4zAcqfFkF1omIj4TM8A+srg7OzcJL6UM28d1ZToMTUfUs737lTCyGiVhOSgkhAQdnnLDUFIBcfFE0cXTh0/eXT/gTUbNqzbtnnNhnVDY8MDwyP26em+/uHhgaFBPDTMMYqJZQ1rSVBdKCh+UybAiwvkrbamU3SpY25A4C8N1nxKjAulpoGJ5rnJmamTU2tHhobHR2anZ8/gA9vxzdkGQqgVLHgQug+T8XOLvXMLeKu0IBr2HdgNvWUwGB53nSYkJb4wEV4IhDFbJVAin60m/bpWvdzugLbV/SvaZTpv5embcB0SEEh11a91OioB5H4Dpvj8PZ/3KRBsXgswrjv2GWiqOwHBcFS3iq1YeS0R7eAod0UVBeUKtAgKLObYwE87AAK2E8J0LUpK1TUAHbNGeMzipx0D5g2/BdJTFHRq5iim8MxMRaKGSApgpFCvys5lsjTeMypG6MWaIYpu6zhSFr/VMII0aQeM4DW6afV1y/G0KMJOxZi0Wl2QEE9jLau1Igw9e05EZg25S9E91nQ68WtqsYhI3CoGHGnou5r44LiVpBGzCw0rR5CaIzuOI0tU04/gEHWRuqYDgiM6clxNBETdMTvZduI7/pLIrlkjuscD5U7IXUKKmF3UmpFIOZhrrIOiiFoxAdiwHMGQZD4na72PCfcYpCl8DW+E5iDrKmk/KuUA3HAUZBXS4yQ8/lswzuQJceDouCCpKwsumXjYOT+EVfy14GVGMSvFxbdG15gMIy+ioIC/2rHDizWpT1wnWLMVXjLxjFkYbAhxEF6uC92FbFghABHO4HmCT7K6Nj9gik9lcLKalViWAn5H4a9omtgT5WoigJNEBmhuIeFSQUBZHq2GJu+2sh+ZpsAfU1axrJ5Emc+i0Uwaf7yoIrRRRNnOtoaElRC1hiJdQNuujrh+coRyC1BCS4Zuk5FzVIaapYDRC5Ayo2WbQyp1ZrSMrYQhHQbFF553jK6JLkNfOwFN66PMQ2QKWhzzVqKK4IqOHFP1Vog6NXoJnYJYs2sUPThInBaBNVvVDiXG4YUG3wNcuQbZxk8gTLUhRF/R3G0tfu25jMGHD1eIVqKzyHZy7erWtOADDc3TdjbNbsZa0jhdRMmDjYfKVHPgMDdU56J9VoHFXVtSX0dRpF1BRKlgELQyIQe/CxREbii6yQFIQEiJE8f5eZhJUnNLOwVgBHNhLeM6YHDJASISOgprCGvKChZMoEWRF5XxKKKHqjKdti2ycltEkmppys5nCfW1uiTCilAo3pVXs2fMOVEp2Sp65g2wNIS5k5cWpktXidUMrGZgNQO1DLQ8Aewjk6vyuGzzFRrFnB8JDnj2Hyt7Nx4HefsjFwsOgRgibXC1MY4ndDpESt5hbdZc8UBqWyMYUuaADViOmzwQF3A6S6MsKZkbBvkKV1QqJPiEbPhpLBYNExDCkmFKiI3fjMEGesCgYlRDmauuFaVKWSwEhcpbbOEPHHmtKoZ60F21NgyD+YCJbUIwCIdcMyluO1J0mvMc4iHXQgM+uwaWWdwlMDeHewXwCDDj6bxIailCn0B3KU3WGlaOgYgI3rKS0EFb3YEACVZMS9U7rVuXigA2KMs4C2yrWnbwyzQXo6pfQzPHFnKCZ6bAFCuFRQzY0hxJqfWWHAztTcH02qMyDWJYIkps4qe1A1a4gs+wCDDEaTmHtqYsUyDcaF9g6BY0t/DNAFmXlByKUD3jtLgky6tWlXPvwaTe6BCeKJw+PYGHO/lsZKel1KtQTV3JrHaAPzM3c2YOk3MTU0NjeB308ODIIKec1472443Q0/OzeCM0HovkM+3WQLlqqovO+ZllG8qsI7ZVsxoEWh4xWD/tse/GWtE6BYfNuNSKUVSlGUL+DcKkWcvrnLKqmEr0jsa0rmupsJgUFOqI9lKHJC7vy2hvvio0cMBA+wjQPbFxQzwsZUOGwX/2Z/aGYQnJOpUtPdQWsoDR1zOAroJnT/EY68zUDJ4TRxxyZO8FSD2VQ6KNNnQZFpWExdHMKmJbU0QZWBZqMMpMvPF+oWd+bmJ6curY4UOja9Zu2LFl3aaNQ+NjOGoODuH5WsytnsRDscTgDuIJMDADV53lgcOs3itBbmuklShygcps/ZBheOKfPBLNWiIroIw7KhD47MQw3gI9um5sAXPAk7MZ0LYGWOF0LUAdFcXHmNET+D6IM7g1qIPBCpETSotVJwdVv8mwRZkS/K9KCqPwQYFN9falk6SVnxqlHembhZsyU1LcrHhr8ppq54+DkagSj+2F3HONn25vs2IaIaQvNYThRAwp7vRZwS+1FI9ZRBgzt7M17rcoiTYqBZik0VErDXMEqTUUcFNTH19ZBxR4wTrBmS2DySIPTIQXoRhNaj6jyFvPmc6RFfmotcdm1UwjljGTL8tMsvUsZQIgDlsAHUr4zZizOUOwaGQbabIRBhZXzlGR2bq4phMZv4C0GjozGJJXK2Y1hmWx9XKY5Z2PiYA+/qyJSSj+GLYzM1TcAhYNnTiZINNPvigEur6yYLjgkJnpCAea/caCELSwUxtHZ25mXqXmobh3Asqd68Oz0eKnEzM7iIOGIaR0HfQFIkZylKVRrcBaFQhiASF4p1HrpGa7TUq3aWbIyjbh51zZT6CkTTpnPIbh9sUpk21upZ9CSIrkJRzCgLSSIBNwkhuOaMPgkAJkl7prpRB8EymQQsuLKRdbx4mRBkAnYZKiclaECuasMoqt6s6sEblo6ao6gEjgVjuXKZiaPplRX3QGp22IMxYTjjSzPmpcw6cJMAzWTUCwnZVJw6fIdJIyjUwHG+cbU8VWLzSRTqe1heeNkhooBM+dDMXMAQHAtI86UzpVX80KMhhULVh5UMBMaQcrh0RmQzlVx3DgwhLGkBKyEohiNhQBHPscMRHltNkuCdmhoKlohUkHlYXFjFYRWMEDgJIxsl/7PQbbVK5YygNHB6PoviIPRTQJpIZjOqRqyoojA0Qpf/zFctaJ21DdEoYxFaXpyjUZ1KGUIbEkDovGILMsZpbjpxEZViPTabVJ+AUkUTDN+oZi2JCl+D0eEhYK/Ym2Ylt8VKmEFLIdAigu0GTcUQRrzgnRAV8R5nXyJXf+eGyWBm+ZrCPLi1XOPNq4npW/Xre2T6W9tzXGuLt5X5WV69eKzgcRzWvFKHLkLrY1c2nKdTOAJr+pw6EndR10M7V0PWB5cWks1pgejwisHdw5Z0HEIGUeOYohOPLxRETuk2nASsWgzzAFW2XGSKGQkhO5xnR8lzhHRK2YXNnGRSglGo3QOQx3AQLxwAR/OtlUUXxXc3wRXFsjw0Oia4QUPIBaMLVidpO8tCYo66xuVzOwmoFvugy0jgk+AexjVkteMAOC6T289xKvgMYfvqXZokR4jv9pmpCEztg5ynFYwtOZaTzF9fo0rNko1gJWH+FxomUswzcv+RDpCHChX/t5DpjDsg2tuNqVj6sEYaC1hSFSQGSS9hZOFKzoTCqYuFiXC+52srnzgm0vveWGzRs3bN60YePG9Rs3rMdFkmPHTvDvxIlDh47ce9+DJ0+eTvYtgVgQ9jtKadQzyzkS2tWM7NBR4iGl017m3pJsSYCa/YGnk0HNE1UNW0u5zpV4EBaTxFhwgouDHkDRPzCbMM+vYIINr61wxrYIEQFDwhkyqHzmA8QWO3nC0ZWJYBvYmviqFH5k9NlJIxlWM/NdS1WJp0UgVl1AZ1jgzia56Vgq5lfeOcMRztzaPSd4s9cMU0Zi3KkW3EGsgTTl5sG4yxQLs1uJiikxnlnj6k3KBtEsHmpnom2b8DKsMhyqrGApzv8NxcCZbzYl3tfct2nD+pe97IbtW7ds2rRh8+YNeCQSokNHjh46cPjQwSMHDx05fPDI/oNH8InWFBhslcpGVEg08oJPuuI9unAwOzm7ODffXo1KTA2gwJCiUpX3LLTdwiIm8E7O9/RO9w32DY+P4Y3TfXg99Hhf73B//9Dc7PTU/DR6ta5uLPb39G3ftvnlL7txy9ZNmzatx26+fv06OJk4PXHq1MThQ0cf371n9+6njh87ETyLZOfhn6XTCvZWAuc0DAKDsVeX1LTc2K5k+xCHVisjeahox7lbwSEQ7rwWkAUlU+5D/N2qB2YNJXalahiskf3nOIAjBc1UNh8YeoGMteJJ7Z4spMcAMLyAp2CEx/ykJeHlorZFDEwcl3oGBzDvO4tleg6A3Kmsc9kuxRuD7OKGLm0202K1t908JQTRiGeBASTF6kGAby7IUCzoIfML09Ozp44fHxodXb9107rNm3CkxHPJqADBbE+HckmmQLBmFYmCPNh+p95ha+LLAV1VF9tJxLKDrUjFhbU1IsMkx5rAojBP4FhMc7N4EfQU+jzutBheO4bbLDCKZw3hrWCdp3tZSQatUJYGgG4XVUjbMmApo0DCdoBsaBEhB7VcZnEIscZCkX2XS95aoaYmeT1OM0ZgUmYpmDnphAF/g67+DlWyFqqKWJPgQJb2y8QJrWudoL0fllbV0ASQDOWYhcjack23/G+WMs+cJMr62CYT7+cyMoUUWUZo2nYaadSDbe8x+IBQB4kijUmZY2lr281NQRW0MJdaQd9qV+JRNtwuAzJhmaYw0jlRPiCoOZRkheomNGUhIYhcYu35d70mx0VnQVhd6nbOdKKucQ5lDF2pQbHFYVI/uOzQyP6Rj5FG191Yb+fYx8CYCF0QVLZryuxhypU3A4tk56VWBFvtYydCpKHAA77xESo4YmYAhKEqkCFkrb1omgSgIbe2SkWjIQAqD0Jmys5GgjJTo8u2xRSSALpmzKLO4swaheTW9JQ9U4nx8IwvWUdMM8l23JpQiu5MERZVVjMtiXJOxBYzcBhmNjwv2xJHFY58DymIzsa74VQcReS2UYvOOwQQYqmSIUtVwdIlVErhsXbasxBhJihSm+aKaEexHmgWpGzxnqPieV3DhfVAC8XDs8gRBOPIS6KhqLgUlRdZm6zukcPWuU5EZgZnKnJ1wVNUEgqUHCvX1qlokYNWEYpOFGS5sDXRsHDXy2t6LSeWFMl9h7XjiyjFHEnFLqC5ZkUBhaohAmCIzgSBBZy6mZUldQW36qAcq1araQU/hy0mkxY57rTNC0wcikQzpAzVZp157kL19mKWV+IxJoPM0i5b6bhmyXOwUZaggz/9CGMPsWIXLxHZaRLW10DoryUh5roTsvNhDlq9WkRKgnpyiL+QXURF6XxQyE/sorHYqbmjjkJocmJojuOEW0U10FFBUUVOTbkLSKyRqzmziQmRM12t1Z2YrmNXZINi7u7sPWp1pFcEy3ba4J7AsZ1Eys015fjvi42DKJVoM0cqHpVbVEaf4Iu9MIOT9iC7R4jaZR8l2sA0VDsSGAXkEr8dLCwE7kdYRJe6yLisYaowCytYJSZAMg45RucQs0rGEaDDSo2NYTFAu3JuXMSE5WiTcVSsxGYKFU5y/jXalDR/jRyuulnNwNcwAy9C/34RIFeSEJ8ArhtVRxG8MHVxdv7MYD+e7cEEMC+S1w3sZzAHPgxCNvuLY5IOSyhi2MIxBz9qcTYEEte4dUX+V3/lX2j6JKLhOdL//effiSv5YronhxWBtXkzcMAiYhtFYcXLPr2Lmzdu/He/9At0zYXnYXgJNMJ75rnnf+Xf/0f3CBwsFBAwBZ9cqDZSMD2Q+Te3GQG4p2f7ti2333br62971VVXXEqszgu+P/rQw4/eccddd37x7lOnJ4IiYMy/sUhZ9hQGJ6t4eChJZ+tYVBZN73/6tX+1YR1noZoL48sLEObn5+D39OlJzFcdOXLs0cee2P34k5i4yiqVrTyAleJhHJyFxbuWbcJGqcD0GSd+FubnZ+0dvWOjI7/6y7+wfv3aClajwLhCbIGsq+KLnvfc99D/+7v/BfEgB9aGCIQL2gIV5BRshjOcxdHRkXe+82fXrl0jLPTYPXue+bVf+22vkfgGYZl0AYgQCkr2h4pX/VIrTV3Twjo3iNGRoZ/5mZ/YtWun8GF16PCxX/yX/zdB2KZpdscmmZTCXAVdTbM5YHTVTRs3/Lt/+wslyJ4evNv2T/7k/V/5yv1gWkhMRWoOSwbDUDawZR/NGVnsGR4e+smfetu1114pwPn5hc9//q53v+uDKUgiEROLtTBxlWTNRfECGqikIiNbmxPkYd268dte84rXv/bWm2+6BuND0CB5bbU8NTl91133f/YzX7z33ofyrGpVgyW0Zy/eyTw8Nork4uu/mKZCbHU9MhrMulIqS5dJY1tg3cvKooznFC2TbJyFnpnpebzAdmh8eHhkpHegv3+sdwRflh3CfjO9ad3G22975bfd9i1XX3mp7fcdPCGN3M13v/89H3nwgUdMKQUaNkoyA4B326eERpW8pI6Iu0l+6Z0/vW5d2w7l6shXNtO2VoxCPKl/15fu/6M/fL/1QzY2m5uZIRx6D/YprPoZG3YuFi/cueMX/81PRxCMIf/lT//i3ru/CiYTaJ0HANaFDM66IPj92D0gt5EIUYGzft2aH3/HD119zeWwRXFmZvZv/9ud733vR6xFCMX/FCki0lgGBvpvvP7Kn/3n/1jFuOY9PhboIr/wHCUhLZaRLmmZRhifvOP97/uYVcEGuhiBhURoI9gov/LT69a2NYr5Z9bUKNbNFEcX72yUO+//g99/L9TVHApDqchVgu+EgXssfvmXf3pta69QANmmbC0e4J86Nbl/34ED+w7tf/7gvhcO7n1h3/TE1Oi68aGxkZnTuN1hnkfLFS94tpoPYffhhe2LPXhcn3cDLH/hkHVuSwKo9JmEmHLGYdo4KDfcgdGxeRrKZxlpm4/zhX2WIa2anWUGsINzWEOvMcKLy4Sr6XvRCccBx+jkK/P9UlF7B0pGSVvKXCvmPDYz+Oq+IDTHTAS0cmWz/7L1SApLVIwBqaoWiZyrBlKOFAxoVTlWPAWQfdQDyx5lIl8emBPuiOo5HkJprOpczeQuB+ZF4jQWSSs6Oe0N3QajTbMC5RY5e6gdePgvtRoBJhSVFsch03GaRMxDiAdWCcH7UZVwaa2xigfrBh5hUVOEwVcRmXFxLR2PENJcO5AKQPiJjQgNgczgBUU/UaCCMmTg0jcj2LDfChB87D6pCE3wrSjNFHt2AWbsdQnNNhGfbVetUZEGkQKgtQdgNJXlkbKwpGioXwCDPJIxTsaDJWKKE3AAKL9QBNvxnYjgog00d56mWIBtfI8kgefAFIBg3c4DcGWlyxUiEWsd+fBYiqF9yQyVLYFZSPJYryZEwUQ69SDdmfsSYWsAQl8Yqeqx4CYGQknOj6O2EoJtFSWm972sxLCdaYTeUM3wXCQFW2e76hYhKkIRsS5SFMeNuhddTUSt7rViTXmZRcUJZRFditDxqgm8GUCtOkvGEBFER040B1/gTige9xgNndkJAfymTkQQeDRv5XRi1gyXLNZcS7+VWYNCLaKaKhU5oiOnhoAi+3deanQsJpVwvEGH4C/oKgLUOu1+2pEQpGB9DUJ/AEzCxj4m5U7IyWkeL6AMzZYlK6D5ubef26KQHEPFsra6sGh14cFYtbNi4puxTBxHYSVmVI55U/ApkWYa2gW2BDEOmp5QBicjlhK6GZquOKagg77WRMF/XHPAFQj5J6CZY20EFFJkvIxrnqQg9MYaxsTEkiuXimJqneuaSpU+GvVEE4hotojmOiwMjP/BtGupRvHUJNs4STszFhxLVOKOho2YARiChBGZUU/xmK0HSZMcb7ITuqGZ1AJShJU4K27kGqYpBmzUcE5AnTQ36e1wVQAPqcKWlTeQivJR1sx6qXwKAgzjp+qpSOfkq+eUQyRwNTRBnAn6Ek0q80GvLqsZWM3AagZWlIHqBHAaCYGgUdKhOPs7OTu/cWywf2AAkyFlWINKvqpqJH9V48p1+rNxTWMcBjd7Oo1jLR8L43Gmd8uWzZjrcjdOvPrWl3/ms3emIvE5Pqb1IqcbeXGcC489+I8hVeMrXOi4geLrbrt1x/atjunExOSk06qI46d5LyLbTIYJso4bFQLPTb39H33PD3z3dzXnvYpSoPBE4803XY+//+FtP/Dn7/qLv/74p+mJRyAsWosyrnnPla2IoYQKShUVvu7qK1Q6izVS+ewL++78wl0f/+Rn8KRyHcHSimgUJdI+b/NlSBQWrAZ6+vAdZPLxjDi/mbqIl51ea1M7daizLWMCeP26tZYMNAonn0UDD9Hh9BoBWDZwXISEE1jI85VXXuYO7TnskyW/ssRatXK9QFDZDNgX6I9dkL3OdODOPGLGA1p0STY6YW8vJma2h16HKaL+gf4zmA8hBv+D4oxbhsJ5I80542I3KWDP48O0vREEMnB/7Md+8OFHHscnTumLIOyi+vOo9GMDOwQ0GJNhIyo8jO6ASOBLXnK9JoARlf3Dii4QHgG5ErhxuUcbIrXC0ounLge+89tf949/9AfWrklz7UHcTo6Ojbz2da+67bZX7nlq7x//4fu/+uCjNT35QCiciB3h+5/nZubQtyx/WZdK1WCypHUr9dwEVk27HQT1QkGz29DBnBXqiqmr+bn56YGZQTwMPDraNzi4fs34W77jLW/5jtcPDw214teYeCD1ppuuveGGqx99+PH3vvfD99/3MBUUr63hFBlmovFBYlIgU6qtJ6EvsAUFOzg4cM3Vl4s+L+uZ2dl169aw1kgq795A+yoThE8dEv4xnYfQEFxv78Bg//YdlbF065kzP/y2733k0ScnT0/RjJpMJhZiscQdwl41ar+CCQMNjtR8WBy7SQbEHQm33HLte97zYdoaCPEI58BGLJ4ZGB664IJtLLwIy/z8/I23XPu+930MbtEoVhFGgP88zJAsy+DQ4IvRKPKD7CkAdg3zL8fWN1Ic6BWaQS8xLZvacUHPVVdfKnWMjS+8cPCDf/mJB554Aq9AH9swvoC9bXpWQ+pSkAqmpAaf6x4YGphf7J3BqM0PH7O5X5Sl+DR4+KnHkt2mrCGRnUKpYQXDDpKsEbZLakYFJDcWA4yR3WR13a+3co49b7/e4ltOPDwGu55IjF4aArhLmtBvNMkKsKCOijLPO1Gz40lNfMKZlZtX9CEyHDD9tJwKgS9vWjtaYspWyuYFhgmf3bBUNAHGmlqNwJcSrLJ2rlhx3OQUmSG4Qqq6VSHrsMCzNy44XclurFxdJZGFXuisA45DCacUDTor2jZHwq0DKs5cZxrJJkQlTqcgI99pJyoBdC0UE4utolsNRpqIKhKgeVJpTNCpFsZxTSu1rIQTBeDY8Rsb9gbS1isqBAzEBOH5zK5TkhMAW7mCb4aF4zhZn9gmLrEphpwKwoEOuHbawVC1P6vWMAfB08NA7UIAAEAASURBVC1bImZBzr5cJ8WKqAwsOQlBFreqiNXOO1GRJre5LqpCjoTJxOJmoIVjCr6CPAJGdddJRIiwLvKyuUgVtGQCPKbCFUGAzyAzrKuRyPykH0BqAUdAVxYmio7JkBSPlAKgonVNB4mpqEuTUkqpmzi7hUA1LTkUCdqLOU5EIkdOQFfhKfgYhugmx12XRJlrLxJcARCdQbiIhDEJQmj8T8cvdRLXpIItTU6WVLbWyM4px0TwTeQchQPNtJ8B33Jg0XBVWyQFMxGmn3Q8wVXvVG5wikkUAQFFrHGAzmgIDMpcmyhFbkxwYtgJU6JUqG8q8SuskGo6kgVEHoBxKlWILkBbMwqZsdqisFMton6AbcE0zVTHHExFLTPlhe4yuDcleKkWUpJO8KtMVtQyCC1cU0wOKVYt4yc6qHkAImLwng3C2uLplZd6nFlNhi5VBlj0OBGM0+CrCE4OPiOFLezNhFv233Ra6F7IFhQ3gFKhVgl6ory65GjMil4EhS28qH+4qGrJxhKgxWVClBVVIrhxaa4kkqKua8447Fds6l5Udq12sXP5m8ySlTiiq2tGZByqpjoCn2GIL9scpGPnOGWblVW/mq17dxAocFHdtU4sCUoHaItBGYt5S/rWbZQcVgEO2M6KkPiKK4lMoWVl6gncaOK06GVWjDDzKlurtRBUyRR/RakUoFki9PhNHsNgXcBEhFZryquRR2Wz7rgqmfQGApjD1uyMj0pTobauaVpRYaRo1QTge9hGuFSA7IkhkhZUKLRwu7IipmjnRAIYcO0cFJ12IjKbPqNaU7rKeREzsOJO8SLGsgq97Ax8kzUbqqvjgCVIE8BVXkvmevE9P7zeF4b9A7qqYEqV1KmA8QejY5qXwkwAp5Kw2HGCJ0s2CYwTDTAq1lWnb3j9t2kCOOoACZMWnKCyCTQQCZvPTfKjVFjsqGDHpMXeN97+mipqvZQi5hiLePg4IsEN1tbimzibcnTOCbz1lS/96Xe8HY//ZuEKtuPjY//zj//I7a9/zW/9zh8/9dQzTBAWC4PBoGTONfvLNJrMHfCQxUvraknVw4UrIzCHueuinbv+4Vvf+pbv/Nznv/RXH/zrF/YdMGD8hFIg9G154edQjczNinTblPvC3MLc7Owi5Iz7nOLpEr3aBvgWBmO00wTcWFBO4hAA3hzcDqJsQcb0mkrXSAGlplalkAzOD8IV/fLiGkuE4TQHN1y1LFIzU9QAvSzVQxeh0Lj9OJXBVBwQAYEeht5suBEL7K1bt7ztR773t3/7zyAECKOyK1maM2NUSolFVXpHRKnScoI1/2xBHe3PZgZBMZD25sQU9aWXXvxPf+ptt9x0XRV1WSX0uiuuuPQX//X/9plPfeF3fufPMeEKM8VjsfT2D/TiweX+Ybz/uQdfdcUHRRMulbJiYi2xkYUqgipxb7L3lIOjBtXOVUDPoDX4AdPFU3NnZhdefetLfuJHf3DHts1LuGmIcSfE9Tde84vXX/XIQ4//xm/83uGDR6GSwkiEerLl3GRcqS/lrLNZM93wcE4Ma1zrjeqQXBMwdUj4Rcr7evrT9ZG6L9Ru50U7fvC//wd/+HvvRa0wJkMDmEyvhWwdEkzeBd2PLm37R9rUwVimvSprOcIqMfLGBhcrvHgrxp8mX7UjqPtbo9hPD3P9IjUKK2y7IcY3LLb/1fxbTrQ6T70C7XjRRTve8VM//NTTz33kE5/BLSaDI1MLeEn7Eotap67Ux5e29/OdELxRSG1e11lhud1RHaSLFkS2T9VNrLtWmAKhsvbCipBcG2Dr3LMv5z5+9ghfJ5ZMXIccf51EuNIwYn9S7bi/4c+utJGDb18EjtXfdskyTBSf1K8tdqaqqxgGa2MKdZyQAQ78RtiGp9FWdAKydnAJZCsdO12kMk7sdGcOSFaHKwGyApV6JREAql5UzLEZJlYtC83slIlbo7FSVBGRHMc0gtg1p4ZQNGHiVqKxVkg6H4R5LDaVLRKMtMDEOmFkgswMK6dca8mwuVzZ+lVPmINOMicquvVC1mZAxV0tEhi51CKhF6QLbScvYEohx+kK9JeZpDssqq8Ho4qAycOSJQ2AIPAnjzxTACMzZd6C7WFDBn1FUtUDJhfCWz8xgoxcVBjU0SIFq77XWifnDAln0zjH0feQc1oYts5XgInjrK0ZDKuX/IHODhhMitT6pGrXwoGBhSFDqvliaPQgTs6D14W1M2b2nzLgAHXCqlZxUdfIvTf7asjJKAiqj2pq4NJnhKAs/hSkhSg68qVPZVsqCWTNXZI1GltpKKQUWI6ERa+I2to4dYzsheG1KphBAs/GtWJmpy7HqAwWas06JC85e7SthkcrM2dICq9rkB5MItQiglUGFIx1RXZaurTkiLSai0l3HozUwtodBV6FNA+xxpnmgcR29jRCMyAowx3GLK5sDSzxlb0CTa5ax1S8CtIoTpJFYqjuBaVQ6bhGnDwM0iV+Ymq3dUSFq3HVYrb25EwxckEGNaVNKF9Yo5QtbiDx+I1tTIO1EKDh+hkmoSWUhJyYhleS5m5zLGDIfamO/EuBPhm8LXCQ859jya6z76xKzWSFjaTGqQC6hkJIijTMdTSQLJV6doVSkqZ8mlrJbbByJmtD9Gp4wk1rtnJxkam8zUo5Lm5zvUgmOTdmIjSxAcsuzMoFtQZpkDRvbbVkDQSDkhdbM2zadgZXGL5OjnBKZl0UpqyJQFjIkTnHfIudfFltskczlncfHFI8adchYlLI4PAZ8w3A7tlxOyM8xsxmXAZhjWIRKUb6jdpwKmm2bNlKRxGmvcDwnV9svA6Z0DaXimKkWqSBFRMFGhIbAjOAappLrIvZ2ghJzSxp21qKhN8mJo/2nUfFZOXRZiJtc9Fxoj5js+A9/04ktRhepAnHuDpFTllN6pHAo4lsYwBZRCuD5TbrCAocZzotIsbgtBPQSXQ1/rRfxD5fVSB4blkFwzWW3KJiQssJmmCp4tC7c4wAQ0zWGxyDxTqq5ZSQmWgnqMol1lGc1fVqBlYzsJqBZgaqTwA35cbBgIKHOydnFzDiDAwMcGDj6BQWK2LIslGLa/xxJgCzKMYDgk7T9UoUnpkTo4ZSAG+64dotWzYdPnzUlKhmPziAZZMlNgXI6+NYMPZCjsgMjq7x7wyecLr84ovSm3gLbqASqIUHE5/95XV/m8GAAuHzotHWKkLWP/yev/eO/+kfZeFZbq+68rJ//yv/5//1q//pnnsfrEHgqoRNpdja6qmkp0G/oo2gzsMyMjL85je99tZXvuwP/uS9n/70F+SO6UmJYDJAMiqLRw+X8mnuvj6885YP//Ls2TN0HkKKEDafwAA0D2SxYHaKRz+oMTZ2ASuk0KO1HRVLY7ZqVPWtBFSrvVXc3HCykFe78NAzL6KSpyNu90ZgfPyPZrUNCUIBBJw+PEiNncWix9Sy9WhCVxe8Avf1r//WO77wlfsf4FOzFpjNEqk5EBWxuTfoRwwDVWxGtK0YEyOy6Njz7Q+TrcYwYTDLPzv5ad6bb7z2nf/6n60ZGwvyFZOo0e1veM3GLRt//Vd/d2JiwgNGHfDc7eDoELIzNzkzP2fvf7ZQV+zDDFgdqyd3cxuUOMdGDisvv0L2ZkQMmMv69te/+p/9L29Hfc/OL6w4DXzD1T//f/yTd/7LX4/vWufIiADYDfinMKwrczArwYDOxbOOod3QKs6dFn+c/cUfFeEPRXZI0LZHkRNzlOEwYrzu9ld/6Yv3fvXB3eAJCdWyhVWz5+NJWDcn4enNGGULEZ3wQgrVGQSFqHyr82J4filGm3cE0jnm9MMgF8+vU0eTR7YI/1hxpQ4KsQ3QQ7yTuO25EHiDxZVXXPJjb/u+3//T9z8w+dDc9Cy+e92h3yGoxmI8hNQ3gI92988t9sziLgoMaEmxzaSOAZ2sXhedW3k5zrMHdcIQChkZAFvSK49yxV24zUWOIofKbebpmkqUvJh0ji5vX0xfXzfYGofQ/rbrcdfEPVCIznZSbEHn1miJOe6t2YJIoCmyLiZzYjZ2PDfvQoRYUgCxfdyQMsPHaRsjgcDPNxSJZssQmCuYiYdtpYRdgSU0FzGlr+pEGgqlaPpxJdtWWCLLNucnglOqemVpF448pjByK6BIfMlsTfy4BGTlMAoLDTVrUK6jSdHoTMkQ8qphLZJKfqBpymRmK7Rd8iFO5leYnaOgBCYeTK4IXSBNVky0abIfi8A6K5CB/7m5jWR6Y/Ax21JI6xywFARPUeZXlK0A2IKsfVNKloqSEEXltQOBq+u5q9NDtY8lR8GvqhAr4hyaZ01F7kWIxCFg1pE+akenFNA8Fo3XceUmUaPkStzgK6qBjrGJbnKoZqolKgCitXMfoDujBa4WF11Zdw7D1ZT5GEPCNNvIj7SbgwBf1RdUzHOE6k57ApMXq53DRndO1+JpFmHOkNxABJCx1DKTi5AJxwnoCgF8ZzYJqbXq0J0v2ZEzuhMEVMBqbphbkUFCANp2Ol49yUunVoDcwxadLTpvu0RrIoZhC4lQcETwotPSaSlQxajbHnMGdwQnYCIaa5qbZqSN3XWlfJptCKRqAtwcgxNVDStVoVq6nFUwGSpUq7pyp7AhdRcej3OitEYn2OomGkb9yKeXXDsSrTuLwUariFb1yVLRzOCqS+olwcA1E6FIPJ6gWSEzrKw8UdJpgQLLMZ2oIHYowBH2rOwgtmmzLoRwcCciM3TXejyub4R6dYrJRSrXiklpWRvF77VIhJIJWDR92B1bK+hhe4P67gZORC6pCKHJPK5znYq3nOxglkn3DkY8qaAvpQUaVgWurR+WOK2aRYpi18XFMHHFSmyB7wqRcEMRce1qhPac5wg5pIOdjzhltHQzs/KSaurFTkSpRtbwCMEA7UUnyDdZSaMVGVJeSpyK2US6Mkxd1CImyujITObG94o4kZxEBISSiykIcOwcUsXCzGoCiY7IcakRLqW51R8EmFGNnKoVcbhQUYvaMJe+4bYpud9w9Vqt0N/JDLzI3fFFhs8TwGX0UCNwnInNgQfiMAeMK16VY17Q8Dgx+oDW5WtbG53gOHTxyj5mGzBbVXURwDjG3f6617zvAx9K0RCIE2aYooh/OiRAB4d9zp/pxm877r7x9m+LgC00I9Z/wTIoTg7ZRIgjQwnBMBeou62w/uEffOuP/sj3t2Bipnx+/s677nt0954jR4/hjcq4Hr5168atmzfdcvN1N1x3dRm7s/HQ0OAv/Nz/+h9+/T9/+a77LG+MqfwxDvvHQT3li2HEkBjceVvWrlvzT97x9huuvep3fu9P52bxKBdTpIU/7CyeFBOzgZzzs9DoHHiYkb0Dc/v50lO2O29bhGJzVPSvBtLpnrm0VkeAnbKhepTaLC8q6JsJt2wHm8LlEzSLfGwXHD8Yd8MzCClY7MgkulmqAhoTycOjlmBaE7Ofh7RHYDwU++M/9kM/+wu/MjU5AxXhmjZJBiMmSsiD1tE+0FQ0I2XTuj0fSMV+hMBsRW3Vz1pW3Y+v177lpmv/1S/+0/G22V98g/WBBx+5/8HHDh0+evQo+n/fju1bLti+9YKd2266+Zo14+MhBJJ4W/JLbrn+537+He/8N7/B9zwrarxcemhgcHgIe+P0xPTivPLBcFe6wCblGdWNs7+sY2pTYKrXoLL4Z+sevMn2LX//TT/5Ez/U3GehPz0z85X7Ht79+FOHDx07fuTY6MjIhRegjtuvuPKSq6+6rBYk9orLL9v1z3/uJ3/pl39zdro8W5l2KHYENEJaGIDFI7/YmRRblv9/7L0HoGRXdSX68nsd1I2QkIQwSASRRDYggpBMFNFEm+QBR7D/fHvs+ePvmfnMfNvfGTPfxoMjOdhgg8AMQh8QiCBkECAQlgRIJkkIkIRSh/f65b/WTmefc2/Vq/e6WyDo29X37rPP3muvvc+5t+rVqVt16I4WEnWpLno8jdfHcUc6J6T8YY6FgkETEpeLl7z0uf/t/3rVPO7SlrHjXmeWCGyOloAmPslPVshpzvxJkRc+0ogKQXcYN5wIQMf/yAJNjoiMRxkUjtJh2SQudqxDzhn1gcJoHJ5ZsXPH9uf95JOv+dZ3F+cX15b2awWG5Zn56VTBDz7jN4BXxpdxB/Ba78gXH+ZzECUcwRcmw+iPEBwICkKyAyMO7JAItZ9n3evTq9yIJpx0cmxkuLX+mv7WMG5jXk3KaIZGBd2n97rVQCdbHkSbfuEuhTAzUep00Pf3VKZJ2OsFx8sHM3l+sjZxwlJ0iky1dvlVio5yDcMzjUGqY+yh1b5ISl0YwRIKcAZVFBEkcjrRuvZqEaz8rMyFIj38d1/36DkqDUtQ+o2YslIESdzK5ZouPjSaHXMHAd0LZsaHgukKvhIismlV4QXXVnof0jJSe7MdeBBQ6R1qb/l6jjGg1KuSfw3JE6rgmL2G1UQGUkgdKYsoFNJRNJYqDDpKoOQCBoGsTJEGiDo2udPLQj5Jr/gRRccd/dCYUh0196gAaPu4EyxnpOAeTlvcwxeb6rHXpgCCD/sAaOMhxopPH9/UBa0AjzKq0ptAG6lcEtHR5RjIlbZugKSaCR+tWK5boed+Wiu2hKEcbQ5QljZ27ab5jkJJPI0VZC+Uamwcg62GcZvMVu1tOFo21taRQgiDremZUpPSYU04zLTejLODlRTCLPBFgIGCINDAuolvZBECy6KTSsZdE4kpZ2ZiQwDEcVbBZVNCUDU0cSZtIOs0gKRJqVLKpTRCDydoSEY3pRRN027+IDistk5mb3JUk5IpqIErK2JQ6gPMtSOIQD900zTVxGRBKNOqM3kqvIzvsk2JZKdDbApNJPWqaCOixQ8oJePGVTJug07ip7GjLG1qvVfraU34aqnRTjhirWAicucGYq9NgksWFR/2OYksiLrskFEUV81ys9h1pGZkc39ghk2ml/HDIATlkNFUDgOFagCjt3EMPQSVYy8KHRerm3Y1CDlQ0xXNsAEC5NAfDqEhqc3uXkNnfWi6DBvMoN3VZ00XB44wCH02DsyukF1w0ws+36+acG+EpqlBQ6nNbpQhmuw7yCwnpTK8IMS+1zGQIaic9+qiGsiK1oszojITy+Ch7+JEdAgq5z3stWmOcW3S5wPVuoyzKKY+ZdcriHIwnN5DgGcBRdZJ5Uy0WQD0dFMXjxhMKhqSCWhUvQWolggLwyPbD2kFbvtjG9P4h3SEbqtp+QJwD39egew6yHfgcRPwOn7JFE94WLNZlaWaHidV6UtqXgThGNdkXvaw5oGbgNf5gbYNFgawAPyPsQAsIHhHXJepdPEMuESUDSsYuP8RGyhDh7sHzzj9NO3q3asf+ZAhF5aJnFZ/1QCXVVQAV1d+cbW8x4rG85/ztN7V3xtuvPlt//jeD3/swptv2Yeg6osl88kJLACNv+3t7znxhDs84XGPefYzz5qdnc2s8GuO/+d/+ve/94d/fvHnLy160rKHkiEmufAOURxUVmXxEumbV1/zn3/7VSx9KT47wGP7zMztbnfU0bt3n3D8MQ9+wP1OPfUUrF017nqnKerxmr96U9OVm2AFFpMTE7Dn7z2urfGbl3ETGDmWDVX9t69+7ff++DWukl4pp+bCTxXoP3GkrJukjR2GZXEhls24NClp8bkWvziMFQedS8LHg/QeBbC3Z7hSOMCEC2U8MPFNbZyn9NTxFEmSUCjMWc5D1oCfcuA3QJt1JwgG/U53OuGFz3/m69/A793FA99WTFjF1CVgedGg0B2AUNBB6sh1UNQUD/nWY5aWJRZATjPhZTdR4BvgJybuc+979K7+7t8//853f+ADH/rEt79znUTnLOXk57wbnxqf2Llr+1lPPOOpT39c863pvEf2vqe86EXPeuub3yWkxienJ6bnZiamJnEn4vLi4jpm15Y2TZKZSqo6deTeX2ZNpcAyR5mCcksXZvAYfur8cY975P/2y+0t/qjLtdfd8Pazz73okksXlpY5A5fXVhcXV5dW1ldWcHP69OTkqfe/5/Oe99SHPOR+zN835Aj9f/j1X3zVn/zVKu9h1w47uBWPZIIfsRZJ/ZsTamV19fJLr/jTV73WvcRKR4pnHy9WGpodQcJrgSP+bpnHBwhkQ1NJcDVaZLkvDPXhp2k4IdfGsRQsE18s6h3mw0l3vfNzf+opb3nze9Q/pqKgsQRaZ82l9q5aeJIBeb2AizF48WLOpwwhtra6+oVLLv/pF/26hFDW+EmCqe27t8/t3LaGe1Zv2b9yYBkfULjryT/227/764G+vLx80ae/+Ia/fTs+vQQogktZFELoERITfx7L85TkEf5iDiq41LgrL8KpH0+Oq5f/61f+9E/ToEi/fgsdjLmQr+5yNGdhgAsZT7r19f0LB4CJWZqRWREb02pkuwQuA4FXvlaf0WQv04wlZGCQx7mIAuzeuf3EOx1/0kkn3u8B977/A++dY4Hh8ccf89PPecpf/83blvcvrSwu516RnXGng7d7g+fUJMIgun6LtcxKEuiaQ6Mjm7pgVuee+g6TyHgpZhIrvVqVNMRuY7owQ/1pXFy1UQWCilufTnt0T7TcdrlX6Z0HcdyIz0FA/8C7Nrnj3ROepKDtgsrQmaXrm8zUrGeE4BcuEHRzMDljRRVdaLkcb1qFYO44BJ9kT3Vc8Oq3FNiF/2kPw0iqpCY2za6K7twam6qp2YVlJOtGuVZZ9v46O2gDqlhYpqrIWaPElk4ypggQJBx7aKKGCT98daiCXugNSt0VjSpualxgVbvRvkIO4zSOxkRIqrwmzzOMCKVYUpaHGigM5H7wiOJCZeZJmVLiWqnw+hCv8+HlymzTTbyC9Vi9x9bSOTTGMdBMEzZCg3u+mOUrGWwKpblzLxMdFSv0xCsmP30Uh5JXTE7bKCAwGbFWElCL3+gFBzu68OChQ1ClxsqTMGTx69l1TqUem1DFxHABPVZA17BWLtPPCdhwxCWiqVhOhG62ab7m68phxxxaqyGBglJLD1g5tBo7ZwaqAaGwAVJLWvRtWtVskzGTR8OnJ9Ogp0I0FSSH0Hwd3GaaTCTT5UkFPjm1MAtB0HSKVpaOP8qxpJNpC2fERy+QbYZoIhrd95V7Ha901fqRWp645hXZkQwGPJdRqQqoRiyEaSrk8z7Ci6O2eqnmKFmGMUmkUQjIRiiwSqDpliZtJFnLtM+GukDIAvS9kzal1oydUcoGKWLUmeGGboFT2fmo9buiV9mGoHZdr9CE0CBG1tkglNk4G2QZNk0zvKAPqCyHgfqqe95ng66cobqyakIfQuBAE/IWBGR0kAhbCJpdNKOcV8OnacJXRyEcVaNm3XTCfYgQfGJ8Q6NC+KKpcrPPlLIvzKJL9dEcFCvcNzQISwjBMIRQhiYEdG0NPEdUGTgZtmsQmmzWyE0zXJQkekNAl0aMPTRhEI4ZMJS3ghBMBhFQ2sok5BCyvlcJg9CHcCvkdSTEkQocqcDACpQXdANNfqA6hiwAkyeuLLimQsBf90sra4srq7NTk3jPHV/5yy7bIPS98tB3PtNihzrg/W68x433RfnW9ODtjiccd997nXLZl69AHDxkUYox+SAx20MEwQbskac9BDczDcaGEzolA3nnncnwB4D5gKi8kBKu3Xxbm3tWAf9PudvJvau/H7/gov/3L99wy559cIYlGUoEfgsm34LgauV3rr3+bW8/+6Mfu/A//vrL7nnK3TI93ET7a//+F/73X3/F3n1cPHZ/ARE7uGuRQQQbWHEBgP9IT0zKbmVl9frrvgcmpWjSKcZjk1cLwsT42f/8wR3bZn7iMY98wU//JL5wu/iPjWFN98wzH3XV1d9+7/s+aHopilaGGlmTwHoCLLGowBSBLosSkySVt/XlZfDhD6Byk0610BRkvUp7pNZiFZnLgHC4WRQbGT3IyobZUdaHR1CUQ7qX5I0IEoDENOwgkcSiJ6amqxNO89C0jD0OXAuRPbr5cYQeEFNNTU895ayfwBdBX/6lr9KNqBaXk2zkTb3gCW881rCCL6RkzhBF5heHlJuMLYYYp9Wv/erPNvf+4r2/K6/82p+86u++cdU1oA5jYYII48wFA4wFofG1fXv3v/vdH3j/+z/y9Kc//iUvfZ6gGl0k9bSnPe7iz/7r5Zd9Bd7T22axAIxPmeDXf9eWlwnUmeQjJgpfyZFH8MSNrWj6ac564T+wOWnTyX7HE+7wy7/0giYETqsPnXfBX//dP+yfX+A3VG+fnZqdnsKS7+z2MdzveGBxZXEJq+iXfvHLl1965f1OPQVf+7xr184AwTl+2mkPeuGLnvnWt8haqXTYyIksTFhs3FxONnjIoT2h1tcXl5avv+4GRxZrS4QZ+QklNUPpZEDcmFMOpdCfVMaAi95rJJNBz2VOSPm6dej067IDoRG2bZt70pPP/NSnvvCVK76uXQQV4DQh0SY3bhClV1u6t9xBiBdzseVTBEUuRPMDCjzHl5aWr/3u9Rw+cUOGM7PTuybW5laWsfq7/3t7YYubzm+Xyg5DDPnigQNYuZcVXKHhRUEDYDDAQ25/lzNKwHVnxGQBFeG4kR2/AKDaOCgr11/bXuVAWjz0PKIn/gkCA3Pj20/CAR+xAhFVQk8i3DgH+BEK3xsBW41WG+6FwLXX3gAEPYVlvgueuGBWyBrw+PXj41/7t6sunBifm/vAYx/7iBf/3HN27T4qcKanpu51z7vd59RTvrDv0tXFFal0cBIhWuEjAvOamZqcnkS/rP4K9ZJPbc0WDDmmvjUFdXV7TB5t14Zt9R0xkKKx7i714KOzl5A7iQuGsNeoxtvIpBNKY8CtClaDbtwKZ40fzY09f/QsUBxUiRXHhnOVZzLmMCvH/9LMVRlWTE4KuzjwrJdzlMjJv2qKgYaQqJ1g6ug4CcYxPWIYagoNmjU1Oz57dOauR6YlNmn2yNJpFzRnRTNT9ZSLYOLFXYZNygoh9CFkL62YQClsKNRcho07Fl/yhRnZaVONYl9n3UCFFQS+VpEpQTS04SjNftjs6bJ6KWfX8WiaxIQ0pImuoETZ3VSIZhh7/wZHOEqBzAwyosSE10zVBjI+OQY7OykoadqlIBsE63ZH6VIXg6YmRDZdR3ouc93XG3gZyxEWevKCQl5WgLPQhJWSjQRz1lU0BzcOSFFDiKCW7OK1wUyKElKrFRsFkWoxLhy7GkURGxW3uA8CTg8MTCcaJR1WFqWmhFVzeknJNE8rH6wdNugpYDSL0LEsXYDxRuYGHfUtucpUpqCM3gCzDGhRhElEBJzNXDXVhsjADTMLlLKILhJKeo6maKxK6JLxNT37hm0ZNsvwYVNnmk4Ygck2kJtmjpS7sr6SkbiVQ9H9aobIAq79nAZeKNhR9jQRJQNU4FtreG3JX2QZHGJBUJkfdRQOZuPnfm/KoCqfehU2SlvEnp2G0w4dRCmCDagCYB/DEUIPltDNpdG84JI3zQeaHDqUYpkxzDVDuXGNKyTVOgwSWxoHE0XTTKHPTBxBj919FJyAHsjM0OxSD2VjHNChD0G7oqmYg5qBM0gIxxDCEpouYfQ2+q5jRghZHbHvxVSzQA5BvZoc1XgLe+AMYbsFwFFcNJfuHr6hHAVH7bGPLFQYUpxItis0EcOg0UcTBmqDvUbUrmiq0N3DLCu1iX0GUajN7gEbLl1ZNVmvxtBExUJAF2TtCoMA7xW6yF2zxiY3IUczhECAJriFgF6VIWQD1XdBAu3ghRyu4dPt6g03iB7QttDVG+KI8kgFjlTgSAWGVIB/JHe36qWivwzEO9JY9sUfFOU90a5nRyMvJHGd5gOXNt3xwGt3x7pWPE6+xllcaWwYAiNIsK4govHExz2mRqpaakY0vFdOQiqQHTexxRMp3jPQdVZ93xz3Ms5OT/+n//AyLORUcGNjr33j2//gla/Zv29eLPlUpAYMwQhYeOINXlxmXh/79neu/a3/+vtYBm5Ajj5698t/8cVwIJ+6T+GA6pRUsDf0ZVWjdgB53u1lZuCjCJqy/IYuqWBtbmFh8YMf+viv/sYrzjn3vAYC3039whc8C79SLFk0nfyzEmRkAWyaT774LhSskWChQu4Jbq2ND2/Ag5fWEzIz8mrptCLPKp5WQocoOvA3aBn5JHbDbkmjMdVV0bkPraoKsrRbZeluJCzOqEaHpKQrMwSd6+uyDmRWjbc28durL3/Zi6enJll0bAJVHApVNR+4t7JiHuDBuYllNh50AyrmPDYOmQzc7MzMc5/z5JNP/rGMiJu/L7jgM7/5W39wzdXfwQTgDJBNbXQZC3vAYg983NP7v9774Te+8R8zCGSsqD7r2U9CcNw0OT0zg6mFG1XxA8BgBsTGeOOmnEe2iiYnFL/aOpZ+LUu+Iwhs0vYcQX/73Oyv/PKLd+4sa7cIh6XHN7/5XX/+Z29Y2L+Ac3rlwNKBm/fO37jnwAK/oXpienJ2944dx+yeO2rn1MwMMC+//Mo/+r3X7J+fz1Rxr/8Tzzpz51E7vcalk0wkTyygQZDziGcKzym+TVlvvBTIKT7OO+D1hGIOclZqtbi2Jm97yBSr3etWQ4Z+MOCkQKLcuGoe06L21dbu3Uf93C/8NH4eXodblQ1sn5/rZHiRcr7eIj3cTIq5Zw8pD2T4YKflQvJz2+emZ+QO5VXcqrw+xXvNsbUVk8ownISyvYWXhJGpNdNBotAYFSYopwpku5s2GZpoVMm8MyhiIsTr6I5S4gsfU2u+MjeiFAYud+W7N4/KU3uFr+zQIaNHVDkpJFOqFg8sfuS8C1/9ytfjRMs4GMcfu9MJM9tnJmf5PfelKxMrWpPAlB8FmpzEtFnhM17HYmPF5nx0KHW2DsJOiKjGIKsh+gKgEjCKaohf6Ropqlyiik8jDYMY1tfAdJtIJR7aG80faUGmSrcCfB6TMkWXXIt4mz/U2pWLTDN0dR9qrHo4NEJvs1H2IgvsQBrOXBlGCkVACIX1PYj18Ff/IKCwQc85KGykRlaBr4Lj5CO9BkBVPN2mVSoZ529oSgm5NNyCUrKvSGoUj6U8FbOByk2aiUsoDVOjoKumEWYhaKDungbirl2QozlQFpdAhoAtN4fJ3YopedcTK+SUcqmhxFKzUoTRCQh+40i0vElcU9QyUxPC6OUTnJQL1WcRhDaOXZlK8RpUGRjQpvvw10japdcK4svWY6/R0avhhB5adOlqBIT6odwGRaE++wqIQtrMcY2adXEKpWAS/BVcmiRfby2U0vBwtW1pBeGgrX1saqCEk0PQrLfLlRmwkp0/U3BjxlJZek2vspph75vRcHtXO5pCuW+JIpqcQsERCGvK7AozBddmzLToVQE2EAb1NsajNxUW9loNOiLl2LseRxoIh1y30QP1WwomwT2iRjFNhPNe5YZe1iHzhJzpRS9MXd8SED3jpkduQs7NbDZQTjRgw001sddYEbq2V9hCOPUWKGcr6GkXIQSc0XvdpbegedPOC3dJuJVoievfI9oTf5ugmeXw21AZaGEJYZB7GEe4sMxCQKkyAzZmYZBtwj2UKkQzgwRCI6A5yKvRD4HtYqrm+7LfkGeX1XAX9DYbEFQTQjZQ/NCETRYam2ysXc2+awBNY5Ob+DAKmmoTlk1TDaI3u48iwzH7NrJ0kmHWZ9jQZ0Hl2EdXdgx5eK+GzjaQo6lybgZsFsIgKxVZNdkgy2Hfq4zezQqBlgWVs2azsI29v6ps1Bs0t+a1Aehtvxvjwu22n8iRDG79Ctjrs1s/8KGIOIg8l2s2xue7uevLK2s371+BNX6bc9STiIsZ1cb3oIGlG3oG8RKnRz3yoVgK4rvW9BIfrlDRX/q579I/9pijH/SA+4rBgJ0g6GIXQbHWgdVQ2SsuOOt1Ir+hD/n5z3v6ySdVq18I8K53v/89//wB9OKdd3+PHssz6NEwJIsgCCEbE8HvpL76Na+/+PP/2vA74zGPeNiPP7BRalMLrsQ8CsMxaLvYYSsB2gtHkEGVdCAsdebMBxNfX9u/bwELcu/4J/vF5SCAX5x9zrOeGs0iEIuB+YY/wmMBYZ23xJEYVwqLoUpQZM5Z1uEjO/wjOfUokrRVC5gK2ozMRQy1v/FWyM3uuyAoWgLp9HcUyVjmQm63Mp05T8ZWRMBfq0M2lPiuJ9/5p55XhiYTG+JYuoSsT0j5hAInKQnohnHBUKLgOouwn56YvOvJd3ruc59SQPBX9dra5Zdd+ed//lr8fC+HHvOBpw7HSc8gxcOef39LUHQtr6y8/5zz3/qWszMUvrn3/ve/z93vftL0ztnp2Wn8tY7vVV5ZXsLU0lHNxsNkiaIGmhD3khxuTFRRWQlHW/0leblFEvf0PuKRD37oQ++fQywvr7z3vR88+13/3+QkJjyXAGGNMwffUH3gpr17vrdncd88ziMsWm/fveOo42+34/a7kf5XvvzVV/7hXy0u2pctKyBuoT7rKWdk8CyDg9ZP+PCswdY9oXDGQ6kPjpQMk55WrJW+0YF3hzP0ZmQOlj/47dtyrRgCgM/E3OMeJz/rWU8MG69wGgz0eatLjFlI6syC1ZUHlZyB8uA9O3CEjAsFBMr4OQJ8JcXE1Ooy7hZfwdIvezmUgzYWpUSPJAeZQw886RWGuN4KAQZpfWRQhCp80oiQEnFkYIW2F6dF6LbhiIdUhu5c3NUKOKvGRQrF0nGKMm5hKbnqKVhO85XllSu+8rVPfuyzGQdn4vHH32Fm++z0jjkAuE826chAR2XkErC8Ooab9nkFU/Yd2x9sxYDBGaAelgtrUuo/2HIL0IPB+nqEBKIc9kB9wX8YdHYG+2gOavKM62y9+auVdoUcQuhDQBfkMAhBDWKv+t692uAMVQE2EGIfQkBFb9aErCG02ZVV09UrJvQhZMuQI0rG7+0NJYTwUmWEyELYZCF8u0I2UznA0VQ57xv7AAzjLkjjMqSZQw8BzEEbtCFdjWU0uy6qCT2EIXLuDc6qbLoiYq+QXRpZ7UM5pNlFhheUXd9GGQZqn3GyJsvZJuQhBujSXt0HARUCQQWxtV3TlZvZrAsLyzAIr8ZMDbq9quk1DmX2UpwGLQwaIYyhz2jhHoI6ZvtBUIqTHbty4KhxgIcQ+sYyN8OmYYKmdsU+LCHE1o0VOLAJ+VYWmtC5qczBR5XRlfWNMpqjZ6FoganhFCfQujYZP/uqvuuusNGbXbIcsIoQzV5hFBs4DjHLoUc3y5aKMGivtKNXyUQzC13LRpONGzlbqtzs1b5XGV2BCbNQhhy9EBSna5P12V5dwlHNsI8XzSpYU/CL7OHCBuTwQFP3IUQzNMXFY4UmbIimr901UG6qJuhKRNpLdIXSzoBVqKZL/97PXWF/aIUgpkKzR1M5UNCHso9myiuIqWV8HgH6Ht+EEwYUsDEoH/LmEP/ajYfqu3sxoL36i6BNA8Ff5woSsLDMZp1miV6H0xC9e6Ot9h4OlpaL+wDZwDOZJopyg0sW5I03+opxdEVcjWBNJZD3QSAoCZSiKawhaAjdJ5IRyDKqzTIfxWw0Hp/HlqT0WVmUlbxFKG8TSp825Y1tU4ZBFmCrTXEqMpShUaG7D5ywDKhulzKBZXQdEQ5hBbqjs2mNDfim/Y44/AhX4Ps/aeT9IHsK3HggsBAgz8W4nm5i06uvOjBjPMXKMw1O4Ablcxd/cXEpfu11bPu2bY867cdhxVNdFiHomtxIXDY96v7xP/HoeJ8LnTfffMuXr/iq2fmBBEQGOO5YkhDa5h4vBGVxRd7N54omF1lnZ6af8dSywiHWY5/53CVvess7xV5d4s16eV0hRrLIaikzCebA34z8o1e+5rvXXqc4sX/2s6oFttBDYHbyjr4Mgb7IQWTSy2YqQ6kL0tj7pj0sH+spRCjLgCwtL5999jkfOf+TGQrrOg9+8P26a95e7XF+/fPUJCF4Dxni6B29vXxYGX0Yf4mkd5hAlNfLOThkHSJ2djuij13oV5N4Jds4jNiMOBX6hs5hHf61S/SLWshyJwKXtbCpCYeFM4QPUdsOC+zf+ta3swb3kj77WWfht06zsk8eWBEE4ENi0YgzwYKCGaeNLGLJLMLAjeOO8Kc+7fG4TzeiwOX662945Sv/amVpheeIPmwNmNlhw15BtUkV2+vLSyvnnPPhr3/9amp8w9eJP+aMh8/OzUzNTa8sLy/tx6//4ozx7uFHmOmjMZOs9PZf9OdyYG0LS2XYdPUX/LHNTM889ak/kTG4yH35FW9+09n44XIOmWxYh8MRLhiataWl+Zv377v+lgN75lfXV/H5mLnb7dh9p2Pmjt55xZXf+Oj5n8pouL3y0Y9+aNaANk9rX9RkCNDSQL7aV9mz4dUWDhwqqKAGCB76t2fHp0chtYU3R0tHTICwkx696sqEVIVD4PL17W9911s87tix7RnPfMJJdzkxK03WupcOwS5Nk0hDssDBrxWsBE4QrTmqzf60hIsBwWcFcB8wvnx7dXFZLoW0Fcs6AFx5cfLrDCj0syheHBKNJ8wAwFNVSoUJA10xdQkGfAh/4WpGyl/Q3LQ5KplMiREYQnC4Yx0kvqIJkQpFo0MPdpzYOhmKSRUDDT7W1xfmD5x/XvV1FPiRhxOOO2ZyBuf6lBoVjGESA09M8YzAl7bjaY7TUGMO8/pB79tCBnL+Heq8wIPTYcRNZo3PPp04vrd55M1sCfBoHhF6K6DV08sATzWtmJxzvfZUysaTMj1UL2eqndaQizJZMoQ3DcqDhj6QB3JQGu6omHRXTeyhEsucF4n5ZoECRxGcXoumUOrrsoZWnA3YKqzGin3EAmwoVZBAhbkoGSjMchahhBBQYZyjJDnA4VFgA0qU2YZmydKmjdprV4QOkEaAgW6hbxyliVLoycvo2Nw4Rw+b6B1RaDNVfMnLwmWZHwPy4oRlaJyYP7uRbM+GJEZ5yEs3POsgIje68MUcm+pOrTchsEZqDFk/DFFbUkkfboYgGpWbPQHDDALRKy+ChDIZh5kJftUVe+zA02oemp4C2nUDJt2tDEEUXI28aQZQdjVNrIZPNAUwAiEVg4JBfjh+BOoXwkXtM1vtgl4jDgJsEMJMvdDryCX3QYAZKqILAfhW/AM2wokZrLQIjBBdKosLyeQutcmxslcnCqeVG/RDuYFl7caFzCHS6KggSlTVIjI9v/qJUEJrs5t+piTutuvoSwjtcsAyOgJemkKPBGAZ+z5YG7XoEmQLF0pBKOl4M0bEomR7lSUfDZG5GTHPQqy4o2WAZFkjOlphkm3EvXQFTiOIGclgE9geetqrluHujoVhdHWFxrdroJpeM4leSqHNIfbocm4lo2TfXxO4uA3dTZY/tNGUJxX8YYcayUOfRVIzbGCpNqypGISmuIdjCO4VNuque2bkTPjHpfAxS5kk0NgjAIuLVINNf8JQQS8QJFk/2Xhvf5kOda8kyJS69KjRzYN6kpEtBXXEgOXe8FVl4FhTAOmLDY46uvUeHb0PN9Ze+ssLCtuHiyqjVyP1NnvdHUf8+nctPcEhH3/QDUp93VHzyWawj2YlwFHcVdnMePUK+whKwb3QWxkIh6xhtxuXAobGEzFMbQqIRg+9YmaGRE4bLePRoaFoZs6LuG/yUtYbGx3VUV3CMYRB3sMNgoyaRXMQmuo1gZJwZP4DLvjLYD/d9cz+fu1R7CPbkQr8kFdgon1/s21b/jgL8f3P84u8H2wSa364lAzagOAgakRbuf6qB/tlVcatChC+MfVTF11c2mNjj3/s6TSmvRzFUQ0M3K2D0BMfW33/88cv+BS+pdat7AgssMAyG2FlmYMH6RSyvITqawXZk/6Zp5+266jqW2GXl5df97q/R3b2jr++NBNHfbqJoEBGLP7GpPDnDj9Lubj0uje+PWxUuN+p9zrpLmVVL5JiL0DN2q/zfK4KpfXRMJjwtac9SAk8uIalKctBdlSPjWHp/e///uxbbtlTgOSLeZ/+tMcXjTKANTYi8suB19dW8JvQQg+KHj7FPfxIRmwF0PNCt3JRDw3TAlba4JP9mngbNgESOEqhcrGAlY6NgwiJAUpjp0VTONlzZuZwqysr+JHpz372i1m5ffu2X/2Vf8fXd/3bBvRk6jMHLNhwSnAmGJAMrC1lkRvvO5w46qjtp9crl5j/73rn+/fcsldt5CyQyYZZRyfK2ACq1W1oriyvXvDxT2flxOTkfe5zyuT0FH5Zem1pBb/b6jcSZquO3JcoU5F0NC/suZLMiR9Zyl8dyE7Y6imMpa+TTj7x1FPvlWPgm3Lf+IZ/khVapoPUeE75TZb8aw/Wq2v4Uuj5m/btu+7mhT3z6ysrM9vmth9z1I5jdl30uWrU4HziicfblSQx10IxrgBqxRhvQPUyQ9rY0q9Zq3u2GS5LqZiIQqFURLACsmzNOjxq8vGPX/SFz1+WYW9/9O5f+qUXVBMyJSiWaGMJfsAmM40pY8P8EQpykNr7ciYrIr1Y953dOYc5s7aygtmCX7EmeXXrixCp9XV2daAqobyH7iKTntbHu3qPmgKNHUbdW+PB9ciWjW/TDEsGE24wYClo5+FtPMPWBDw5Xvud6/Eph+jA5374k/DrY7NHbZvbvQN/e6STJqxqQbIcx+9hT0/hJwbwZSFyBZMJVBvmFknm9uGRcdoPm3UR9BCx6c8oVQJi3crNYFMJyb7SayOIy4cjFD72MAlZBf0MTKNEU7eu/odG4ylu6ahnsZ5QOm31vFK9QPIc6N36pnkY4vzkJjYq9u7tXPbQ4dIk0/Wlo2rD1304VTULCHhbRPS6Vxc35GmqD9M4YCBTL4FMEwbiQN8IJF2Ko1bsSg9TSkQ1G7QP98pFoCIL83VlyYJRy+VHWmKrWCmkQakm4SSTJCYDOjKIJa/hDF714qeagXshqb5RW4VVfAkgQTROQrboEqW4aHP0vQBGlMrPu0Ce+DxISZOsedErMjQIXnLUvmdfzQjF7t8rhCLwtZi+c09k/fuCggTUy5g1RclnPCMufxYJe5oZH+Gg+OUi6lzpGFdWKGULjQvUmix/fBEnI1iajKxbVJLlEtXgArpLXxmtz0GZp5sRmew1PaGTNMqucqenuYtYOdKScDUOtZ0tgkq4dqfmbpMBJTaDqtINKwBlaCGrnuSlehhpFOVsPoSPraBBJWbWLcaVmUL53rrURY0ZjZvGoeAPIvtmSifDYzYLvSoFXxELctior9gUHRwPZoswCpKakRh6mI0exIwteaiee9kMQ+1d2R49RwAqpkHlpto4Jo4MLgRk5x1QSpfGFZZss1vtpIMteWiXytyXk1+vKWImLnpN4YXGN7l8uEv2FWS1Mi80VJnNHKeydN8STlzCxnCUZ21cQqi+u/fsiJZ7c1MjwbI2qJq5qyt7FKvPpgwkenHUpiLklAMzxWJG2UbkKs3GS+zNRS5peo33N0uAxsu5Nimnptnwzw3T0zIMQshKh6JvGLhAdxlyARQZXfKnviGzCbF5SHSxjA6xkVTVWmoIKHlS0n2L4r1i2okRyBsLDUULCq3HVYPSjCHpCL004MiHbDCwZsc3m6lsxihoHgaXAdT7UGOJZnfHusZw4JU1gywFnJ0wVpcUzvSKM2RPO+fpQU1T379rVDVQF1BAChMY6CaWWocy/zyi2cihqlXgu4X1BqwibIqh+DaFBWzFSm366MGwMOzQA4htSlgbAk4xBDOqD+GSBfVSR9UP2mewQAh3RQib4c1iJpxZmtvWY+NrCcbi1nvgSq+TZtDYHdHf9ivgV7rbfiYjZdBJl6tHouz0dPBW19YOLK/iZfLk5FRcelurBEMbPDXzyiv/pcUGN79YaSvtP/LRC1Jr7AH3uw++0tl/jBLoFkCe8fkkD2N55W5O9733PfD7hRnhIx+t7mqNrvYiiQ5g87UE8WIFS95QoOZpT3lC+KrwvnPO++5114MBH7LmSkIU+FBZUSVbXk54SeZFWdJYX7/o01+45IuXN7DPyAuuuU9SF3aqJSupp+yypfBBt74bontezmhIFPwv6VubzG7Zs+/d7zk3I2Ex4IH3v6+GoR6eslIAJCwM4BtYCYfVISyxK2J27pNJmeGlamKQ2GuH7tEnfMUWjegzVLRVq3ttim4TO8TGIwKGsDHE1uIR12JK2syQAkdSFCgm69itJT4u8PrXvyP/piyqf6973u05z2zuSldiiR7hevNBEJ2YpQBKhZ8ZBB9ZweV659j49PTkox79sG3btgUQ1qi/edU1H/7QJzgLNSl6iBscde3XETQ9GuqDlLBIunLhJz+bP5wBrzvf5cRdt9u1srS8eGBpfQUfmch/XUdwFwamRgNmJ6kzSdbVy4CGEOF5oeeI056ZmnrSWWew27eVldVPXHDR1752FW3X9aOyLAioYs/bo2U9mHmtja2uriwtLC/cvHffDXvnb9mHDCe3zXxv796rv/Udx+MRt83f6953z5qty/jbMIrAceDmR20N21t9kgnHRy9lBsNiyURJRiLu3bvvLW88e35+ITpwc/Opp97j6U97LDXByrrRlgtHWHcEhvaHShgW4BSlu0CDDQvAuFMcbFcOrODbwmlM7jioh1vrkXmMuLXUKzft3AhNOFR+ytlUEWEjnAxBW+bH9CBUgNmOMjrl0eXRWvISgE9yHFgoX1QOzdLi8ury0uTs9My2WT6ZjcYTTxb4MWwM8zI/66REO/EGK8BY4qRg/lzhTuxK3a7e0nE0HCmzmGpNNwyVYTWjrNnQfbgB2RCOVzR+nMyv4Ly4HXlsUAEUbRObVjkg8RpHZbmOQZZx4Pz0K5QbhAu79KFTp9mbfZysjtOYSdOmkHcZsjfjdJdLA4MmDsqAmmImsoPgCUTtoXUzMwhureC+5qJ/KHu2JbpFdHxtShQH9C73dUAchUPh3E1WbIxzshdPc4+MVKnN2Ot7qV4uoxQuvaEL+AB67i6GMvzAgTJiSTjSLfhWhFI32scjJS444gt3HIEsvURjM8YRDSJgHw9cj0PerOBzPtD8bxkJKoFMw6QYSLOTKSetSBahQz4EAqNFJaUgRWPR5c8uaKWX9FywV072PqRmIZTEUS0lF0+HgVhWPlgKHr3+tCkaKZQZm5nVvEYwpeMAQaw1UKFBcAskcUVWjQXV0IVA1MQ4k51HIXOh4UrDlNDG1sCroEpNGFLPJv4TKviQgPwPTRLMnwYSUWjkQDUrZV4qLMBeE5vqxJFHHdSUbRQmLkGdiTWFQ0BBMDSZOYgoQZWzppOCOpRCe0RtyT4YMooAw0Uy9VyIZg7ChL1ioErp9DK6ZSglIkezEqRbydhLg4M5/TvgFguspSvSKXpLJCoJgqV0lqBpXO81iNQqM02cNl4cVFFkatCre/CxJgX5/DA78UoJm9IlEhu254FQfvSmqqCF4NWPKyw7sZlekVUFpTZxWUn6UBKw+wgoERypB58Ru+4eCL0GngADrRWSV0lQjdCVEEqvuDTNnnQU2fEVcgOvOlxD1XwdkE2XyTOHg5ygyM2bWQZCRRtNNcuwnDh9D/xRxb+rvEubeZ+7VG7sw2CQIPwQg1HM1/621SYJyMNoe45SKCcmvrQnAh6uJzg31dgyLG3EIISwd8v+ahQzx281jtzqmZpgSmroNaoDcCSHSDwLBiIpKWZ5RhIvKvXBvF2GBpMgA3Xlbs5qIzDxhqoJ6GrsRUOldoWBC4SJLlcif9NDM/whhqxXmKlGmqZUStAEtzBWwfWFiWiCg45HYRL2Ekt3PmZaZd+7Vo6iNCwZbJ64pjQDvTQS3xGKIOerNvUiDzO4QRPN2hj6/EgtBw9Vmyph/dVhCKIsVeitnTqy1ng4P5f12hJ7GPhmhPLFpzbTS1xc9HqueGEPAVtu3tZkPjv/IG86rj52h/8oA3r4wxy6CLc5wltP/Taf6tToueM6srK6tri8hjv0cN9VXrkhCEqRqsHrn1wFoeNLCm3wwE0N9VKlmthf8sUvfe+GG4895vaqwRvdT3js6W99x3vUWB0BR1hSaa/jAABAAElEQVSNIXYhnvX4MwIKwle/9s2rrr4ma1SGOx986sAeO9uAwwe3WMRlnBOOO+4edz/ZrXiE1znnnse4eAYSANjhH1aV0KIsSokgUWCJNxHx06FqgL3U5Zz3n/fA+heLT3/Uw179l2+EebOJuemUpzSyOjyEixDBu/cIhb8CmVPKFMSYPgy5F1N8MfXKyr98+uKfefFzsZajWOjfvXvXne54AhexlDo6EBMduPl3Yhx/WmEmAJ+JI2c+pQ/e0E8Ubvw+XbFFW+KrWvdAL9EirFkYgFj0RYv+jFjJ4RWmIVR23UbYQQiUZBb9SacirNUBJm5FBVJtgDhKaaTUHUP43Wuvf9vb3v2yX3pxYONrmV/0/Gdc+OmLr74G3yWuqDUYdLXC0NQagyHjwX3iBA+ML9dwZZzRnJqcOuPM0yIuBPyO73kf+BjvHiZ/Drz0cpLRHS5j43jTAXEIAo28BoYgm9BaX7/pplvO/8i/3POedzX12Pot++anZqZW9+3Hl/py1g7aBvd0PZCaMCkzCjbIjslhkxVuMgTnqckHP+R+GQFnxEfP/xdND7Y4Z5gM3GGO/1o9QIgPwbCwvbiyvoLvhV5eWVie3TE7vnP7O9577v3vdQpIAA2/Vrt8YBn32UfBc7iQpUAyKAodHa1QYOoTqrXrtnMJkQi+C0Jed9PQYnposczmtME9o7gm/NPb3/fSn/8ptmXbsXP785/3lIsuuuSab7dfbu8mIx01shShTC2f4Y6A36WewQLwBH5leXVpFdcflr9zKXHrUY5tjsVHqKDWDFG0AyU/HVBJK6IAlAysORCg7chB6ZuftLKt2eEgj+BBG5252ZoyPsqwa9fO7TvKZzvwSa8brr9xZWFlbm52cmaKa7r4goehG6DHJ/BbzBO4/XdllacbImPktrLJLCx5KASqqDklxNYmdWWnjrpVxGTzjsw7y96fjk03moqmfJPh5sTACTcZPGL7f5hgylMhxhpWFNWui4RC8kLV2WCJraejY/mjqJCyy2knL6PiMoBK2iW4t6hDSuX2eirXrdbNe6mPmdAaaXuDbr2C6SgrKieSzocql8irE6ZDhqQ6VkkhDnHFqloFa/PTb2CmBVTz2pAery3yn5lIKuVpNeXhYsF3TTmW7BJQo0SEqAY9h+EZcpOIeogyD2WeGxVosixUNyHVc56U5X/MfF5T5D/UKuJoWZutpaxKmumAQxq+aX61jUQvHSZpjSRA0UQZVI+64wkP/CHAXusCKnzZKk7yniSikZ32stHHVe0TsQhFV3cXudDRnuRUi8D0qShoMk06SvgURh0aNSJbFTHnEnoH0I5sa0iZCUvFF1nMg1UjE2tCx86SYV/RDDJZFU2pN7uVjgCKSUWs6ZUyVUDmnXSOWXoqxNpSW5IMdjYKIqGHeTuKjJYWgj6uVn/Zi8oJqp8MnlYVJsWb9r1Fa2FLfBbKeuVIORSpE8wqkPBizJE3eHkm4oNIPhFVFAOE5ZSgpRtIOJ3Zxq7CAZipB1Lx/kg2MlUh9MSKxGWS6sskIgt9/ctP2dllQAdEi69UbVIbKly741L6CB0hh8rSueGuRRZw7rKnFyRGQDuFvhbfrCuvXoTKXKI4uGbdjyA2/V05Sq/s+Oz0GZQN+2FzxCxnz1pmNXymaWW8hbnQH0Rn4oC+hC7+gZY6RMz0Bsmtj0whRwQBFh9RoNG9TABV0lUnbcqimqLSqLKQhqpd7zVgW3RdgZHcnLJuXY339B5hnsl5OrCNHlLR3J1UL1Kv0jxiIikWTHNQeiZoZpBqx96+LXm03dGVoXBXho8g7SM9yj6UkHVMLWF7PqFfYGYQAg3e8uyCVSB0hdyb8ZSYalQWX6OQ8VUVyBmkV/YCs0K+Fe+QQoBNDucuckSHD7CJrhEXjDWPYpLqWEH0NNRXA0R38JFeIx/KMKNArY+ViNThP97nF0KlL9eAnv1bN4pqsj44d4UAja7Q3HaE0SrVPbtvOxn+qDFtr8M/avlvOd/DX7hNLADjwoaL2vzS6q6pCXwL9Mqy/zEAloOJ4mzGXwNxTuuFCeZ4jziUpT5423ht/fyPXvhTz316KLEA/Ja3vycHkauhvbcNveBwNzs7gy9qDkcIH/7IBbmZZLrjHzc+bRgaDYQteOIfQPVx33ufknwpXnbZV2644UZRKh0uVMAYaNjojgeeA1zjgWDAP4+c9thnL/7XPXv35S+X3rlzx13ufOI3vtmzbi3YlrDJbcvVEtpy4U2KsprGpDiI3IQuWUFlNDmgWJq69NKvPOhBp4oRd7hhEV/Me/XV34kaCXmuEOKV6dry6toq3vaXxAE9zlstu5tU2dVKgwyEIMJ2slAMg3U/O/bhNyYDmzoeGSHLA920Q02xBwqr1m4DoNRaFkXoQSux5PRSIEjhK4KNEfu5aefy8sp5533yUY/88fvd796qx/6oo3b+2q+85Ddf8crQUIBDH8HGBlZ+v7FGYL+8GUxqnMAcKe5m5mbudte7ZPelpaVPf+rzyqz5fmAujnJM8WEI4SGjrFBQMFWtCL51fHHpNX/xBsDCGnEnZiZvd9ztp7bP4YZO/AawgPelUchmRkVmv9gA1itJCZsaaXxQ0lVDcuN0njjmuKOPPfboAIL9ddfd8KXLroRGecCQ0HAgYQaR08c8yqrw2uoyvr56eXVlcRHLvV9auOLKK74xNTu9vLS8cMt+/Orq4v4DwOD35BpPOeAvBCkFv3CZryClUPIj5UHJBXSKi7eFVpxQJKaEvb86MkooosFBoza/1lQrqosDdapZWDjw4fMufPgjHnSf+9rlERjH3OHol//SC/7777xafWUP8yF0kmEW4VSCCrnSxFVpbGpmBiuO61icXMQvL69iJTPCbCaYghZol7S+RILEKzYGAh968brjdO5u7ms9cFZzlpSDs4Uq0CsciabPNt3YooEBLEjYH6JGeG4ye602OIATwPBDvyff/c7Sbztcz2+47qbF+cXpHXPT+Ldz2zwu8iv48o9slWSExN3YM5MT+OjG2hg+IkYSqT+LoY+kohca3SxlMdXnUFY7ut2Mx16lGHR7uppAGthlmQTr8KAw0KtYwVGs/Fh6hkoST4soH6MBBi5VgoRdzYYK6RmK6J3DLYf3OsaPzFHessnZ8mrPekPHK4KUy6+bcoJnY5XFth4xdoirusR5JSdvM7oKwpga1Dx7rtIVprrVe57+dh1CR1zmQ1AlSJhGIgpPw6mycNaNsmrCz4rk8bypIbxF/NbRYrqj5x1qXuKaLWeCrqhYNss2EV4tBZCVdt8mQA9DL0JDpmRXJCu4xeylUfOMVhVXHT2uUjWDlG+GD5yDEgAufyrkmiBKpKO9DCGvYniUPmVCsUilwlun5EXxI4dNZAZidELbTEZ0Kxg5+DksJ3B2t7NRM/QOTdBbma/YaVKmNg1aGp2CBabkerOOrlJSqRLNYip6Mc1XS8qGMTJfsTfc1FvRrglY9F5lASoS7CMWYCFTk4aVpoJGM+FTRS9ISYoSJF1bqGzjWbfI2YbBjamh9nlVHnUR4NUgwNg0YekWZOL4OYlGtnDqpQ2Rw33jokXogM6aLItBVaIq2/DvCHXZOt2iaG0Q2GvjZzzsZAKTAsyFCYdEJpAopVUx7MOuDAxI8iSuPJmFkoLG4VGf5giJv+qcnkRIXXYZcFZMghC8CPCFF9GAqgocKjKl4XzMWmObp1Ly08YZNlAMkTcrJlWM4v+FSiipDY1SU9600C2IJUDv6x41X9XrZVDxU6IGi4MpC4EuXtGYVTMDK98SRNwSYevxXMSL44bKqhxxWvx8CRCUgqqgpW0YCotGRm5g1bTjGiyKIPGJBIReuZi2UoEPyQU/psFX7+gIMKmZpEKV5uyC8bJULcd43lQn+ItAnIARdNrXGlEP3/EqkS2Iqvh21WCnzMJuKuYnGUUiGcxO8ZjEAkHL1lojChD9I+UKLBr9TAqNjBayXDuKpxQ3mmCosgsEs/ONM0U4SWVsUIJLT8XNGpElTcueRCjyBKHezpSETkyhS8E3gTCe6YoelYUde8WMPvVoUhNVZcM2DZNmEvT09FTjXKZhYtuhp3iwSKU0PsJE/cUt+XZJEidyYENNvPLWpUFAUrGl1waOPv1bMCMBcawCiVPiVkAqs8QHFuzKUM6Ezk6PcrMN6WosD12zN7VDB39bQKoG8rZA+AjHIxWY4nPBaDMXVliYWMAC8Db8Via+/VQXFbWG9fkPU1PwmQgtf3bwo/QOukUI3wKdF4BPvOPxp973npdc9mW7ONqg2ROeRtIMTn/EQ3dsL3cyYcHs45/4lDOpx1peLwOQRPwZGHVAUroTgQpxG8cKaO0/9sl/+UylgSkSladd5iuvLezJ19cKWAjEs6dmSkDA7bMXXfT5Jzy++t1i5DtsAbgKPKDBWPjP2DgwHbJTipq0PLXIk7M8lZIMKoEb+77+javyAjDu7LrHXU/6oMeBM/25YEZgLNShzrKOKIFsTdGt5Qh7+aHZoqQnSXEEpG6lCxLxB23D+gb5JL26bwgCA9YjNrT1AU3VYRYK2NcDg/AMQVHQZBEUEQedh9Y24HxAP74Y+W/+9h9e+cr/Ojc7q1341tUHPuA+T3/KY9937vkcbf24s0YawEcdxYSnFB6xKRtSkLmsAj7VeLe73RkLRWGGW76/9KUrb755T/j6HGd1oIQ3JayYEQrEOfEw/1QvfQGmAk+YbTu2YQ0JP+m6jEUkfP8z5gYJOUWFbvw2aDI/hsd/tRRyEAHGHJUq9+uoJL5SO+Ph3PzXS77EGsnG+JoEiTEn/EsvihXTKKOBU2kNy8BLe5fmF2Z3bNu2awcWLHfcfvf09tn9MzML+/avLiyv49eD8X25wgdBcB5hXZnFpIrnB8ZTTy7loHt0NkpJh8Vi0aTM2T5kOOJRbd6W7IggUGbCTjeovKSBsu7Zs++Nr3vn7/7B/4EP36jBzPT0gx9y37Oe9OgPfPCTXZeNNSmcpNPvga+gmN0xB1vcb722vAImkJV8v0O/NgWrDUoHbx9fx9qyzfDNDgpnGeefzvw6SH8LofmQjMSbZqoEh0kZesFs3WEDA/iBMB6G41ZwwaYlIidACqnp6elTTrmrdNoOP8599VXXLM0vLu1f3Hb0jtldc0v7Dyzhxt4Bm7y7zk9vTE5NLK3i+5+bi33lBlYIjr0vaJZe0aOHmxKUgzZU3dnz2lKUCl7aKtkfoGyoLcGjoUpRBZIwEZ56Sqn9kL06JCoO5cchvt6VTI2g98gxdVd6aZT4lWtVnK7Xj56mqs4I6fv13k3l8u9V5ZXezlL2y7OJTzF1GBJOutSFZ6pMHXvqkJHW4ZYTVbEM0SB7kRMmrfOMSfbIST4qYxFgGHnQK5Ngk7rOBq2vqbHPjOz1bm3NJ7HERDMylZVMHJKN4ymQd3SYdBRuST/mlHBoK/+zDYxqbmJUVJ0ABLZNwPhSPrUhcm64ktl5ojDXLk85Bh1OnVEWoARsRHgAOCAwhtjEzzj0Kg2CHi4ezFFBSoKkgP+mkF5Jy5Xkl7I2UeyYhyTDQ9m0dGpRtJCoqtRSBzHxLtPIJHQdi8Pk7SlA6sCnDC2aLg8JCLnRSY4QhAh3G5RO7MSTMBFINELCDWzIaEQ9j9pFr7SRADv1f1AVYtSpsVmVGV5hKARhsAkSd8AV2XRs+gnboUTHzsYisnIeS1/U+CUQWmUleblNB6RSaAXc1kqdeMLYqsQ+G8QKoa9hONGlUYjF/xbNlIIbBu6iCEzHu0RTrgyBI/1upAEcJI7stkugRlfgaig3LlonSFSGiUmvIsbFgZmql/8dZZTQIRcQK0UQHUWQJ71UGPhwGml+0qmXAKWkgZGv5udVkEKV4npqFZ/SoNS0XFWONuhSAjNWqlVSmSrGRAyxAy81JifWT7nZoBhcBVQ1aOD/tUNa5uc91qw8uw3y6N8EZ1An4vukjcmmMIMBqzAyNDqLtNgDI3HAs2vVyB0iD+/tmEMxlHDT2TQDTvX1+QomSTHIs0CQis/M0IrA/G326hSqu63FzP0CKyLnVq9lrRSeqkonllDHEOeZSdkY1kMC78y8RBVOiq0GKIMJcHGQXqUxSmaqGX2fKaE0QDIN4paRsRO5C1u71/02IjThf0+kNrIWDKQM3DmDXsN+JkFDQUrTK0ksGTimpcA5wTSmjE82RCJx/hNZqLlOOjszR324T8mKqD1QmyAmRWZT/hE35g8bdNFxoG+S1EwAmVDiLG71rkRKBNSkogdVMshs2WP/yRCblZFK+gQ1CgoaAyn9dCmFJUJ3M56FbjHJZLIMC/eSo/IwPxqKgl0Q4/0i6xeuJteHioKko/nmWFYB6SV+mmxZNuAKsQ62tVYZgEH+hzzkoEDfF/3G+X9faB0J+oNVgVt1miDYITjpZFEHTwP9T3ZteXFz5/zSyvrY7NQ0v3uTV7mhHKyzPOEQkMT51IgrYussBVz79ne++6UvX3mfdNPtWY9/zCWXftnYiBN3Vu4S5ClPOMNs5PCZz31h7779WKqWZ4Pc464CYjDeDzi8JuLLogg0NoafFvZ+O37rW9/OGtjyzXdxoh9S5pM5r9P6JMsoUmcI8lygEejRQMEQNxyfg/W8rW/8G4bQ8ghBn6MCFXpu0g1rnQPrq+s33niz9ugeXrt3H5U14oO1CCa6soofi8QPcErK2GOlpO8WYFnkIgYt5VkbDEmPT2lcsrLoNOnbQNLo9vWOrtsciFrrnmR7SETnUA6wwkPOA/1bGNb2ZI4DkucZwW6YKWILhwU/jNHq2Oq3rvnuO97x3pe+pHzv7uzMzM+95Dmf+vQlN954o3nrMnCLUbUZSEPhmGJKnpi3oERq8MGnPZolIqxsfvOb18hqEzHAXaF5UFSZfcxQehSIWPzfbmYyMYGVUSzsHdizf3lx0SAVOPZ97i1c3ebEFha6105hgp0dyZNpTpxyr2oBGHfNX/e9GwIPCDCUYeILZUmKZ3HeBAlmPP9gALO1tbE1/Ejt4t7F/QtzO7bP7d4xPjW58+id+IHVib379+87sLa0NL7KG/R5w/Q4RFnkgyynCdbQOfD1husuv3VdgmlEfBqDlMCQyZQTKvwqCG/wrIMxITiGPBIBAmEQVrFEXe84FckQX2r99a9/693vPPcFL35mWBy1c8fPvPhZn734sptuqK4kYdAvOKv+XteqFebk1NwMCCwtYGlyTeaqWIwGsrEpcJifjAE+poNB4XcbEB01kZnfRkK7usrJzfQcFGJIIeVVuxbZsxl4zOiIi3VfaCQECWC4m08AAAi9epXA6i8/PUELh5EzmSMrP20gUUlkZmYGN3A//imnZx74XedPfvQifof50jKuTVMz05NzMxP4TAbrnA1Nho4PfLXm1CRiYv237xmAxjDTLBoUR7Vro5OGNUX/n5zCwgUcCVJOFc5sKmQ/ZFc8ihGd9OlZdM5OGglQTp7iZZIa6L7ybN2ljYImRIWAIhzZmQ2yrNYD92XwB5rcljuiRJtJYhPlM1iEkUkYUTRuTBvv70U2pZ81hXK417AdtYeWC4jYGqRetKHJmAGmQumKDjLhM4UphJjOQLncsxNd4kgbtxPzNgvvrF0MOR/k2kO0iMsQLX4P2wwyotxLxqrnhDOUcsvMtAa1xjwGVSABWvnCPeWuXanHCq3efeTYE2ORhgZqfV6Si1yTskdUWIEAxiD4YjWiZC8zsnWqoc0i9LqShtQKgcwtTYYCJtmWZpHUvXQ3UmlaZaRu1LI6dLY/MIgIUZ6UaaPXcPCyApGhiOIj1qXNZmdLodEnvjYiWfYuHHMROmjRqxUT8opDtrqhy2Q5SLf3+TGMRZGZ2Cua4ioVckAea1/klIZKyBsBH1ZJl1YOwpi9rISM7doo6qRY5JA5q0uCtApnvIpm1aENc3GQptnjIHXwHBOGMPOS1Fk4eI1GG7ErhdQ5IG1DUIPasWmZJbUeyMrVcx2wHtjy6uf2isg+HyzVbHpPdwV16KoizEzpilqDuYWMbmlYcQZT4IxFlJw+nv6kWbr01Y5rLWvhRqYUxEVoeWzWhQPMiwR18ucQLDmTBT6HrPmlHumQSOLEntKrhCpNDaQtde/rcSIFstcqlBKeO0lyCG54qCBE6yDpBWTpKFIDMEqzOHtdxIuBhjOlY+VCP5sDAtG7U4Ny1oVHUjWOPWVoLKyZZkiNJlRhVHJlw7X9YI0W1jFF5e96QaCS81WA+TQscgojJdQ6hrac5tFLoZROAlkzZBEiaGZHS+/N+lFkTSBbgmYUTyhHK1tVcmHu6uRDDE89qd2yGgUtlHR1MRMvd66PjUvThG0VS9qRvhgrPfUz2cfWm/SKdOrwqYU8mli5mWVhIaDhbvilViSUqIlII2jlFJULsZc4YGohKlvPNDPySzeb2cC82kpKLA0YLBNHHyg1k5mpQJL4AF5ZbWGpKqFFaaVzg9ILU1NakEJMhkuL5m/Bls4NyqasuuGMjHiHnM1cVgAZQRVvzX1N4laJ/H0IOSivHyAqgyge0R+pQE8FsACMycvLu1y7xKKjoFaudbjALi6t4UlgahpfDDy+wj8jNrys+aVYTKs4aHQ21Z13/gV5AfjMR5/2Z3/9pgMHljyYHOVJCWT09frxxx3zoPrHdD98/rBb0BBIHhJQdoAiLngqvAnkffzxxzVMr732etegKsYLByKhLYBuYEfT4cAnWYsCY/y2a2N5wvF3aDRbaSobKTtpSdOIJjj0FGKQ19dvvKlatgHAjp3lvmp3RZH4KnSZvwC8hvUJfEOo1g2LWW5jRyTL9SqfROAAX+z5lbmilBcXXWrOzPg1qJtvbgJnI1OkqLew9bHOzBogmJtGJOxYNo6RFE9vNByAqVVaXl4655zzH/GIHy+3q46PHb1716/+ys/8zu+/mhUd4J5ZqQwm+oiuCf7BoMMoOAKFW8BPPvnHwgYCxv3aa79nS1B2cyTTstRAFPWhryiwc0o8L/S0DZVYTUyOz2yfk4+VjC0dWFrFz+jypPLrkrvDdsSNV4Xg0/HRmQpUK7qSGR8/5pjy/c9wQoLXX/u9xhteTAKeHI/yB5aayUhSZKZ+XRDDsZUDK/sW98zv2z+7c8fMzrnp2em5yR0Ts9Pz+xYO7F/A90XDA6z15OEJxVJxsbHnhNK1RsVnSFKSX/smK6UmaurbTYiFUn1zE45A0D30PHHJo7Nh3Hm/8vjCwvz7z/nYQx/+wHuccrIawf/444952S88/4//5G9qt0FYtdVGLX75wNQk5gxW11eXlrHkqAPal22D1VOPxoJNKZHsOCKoB5ZU8a8MCuqPhf16g70uAGu1MAEwOeReOypYZzxRyYRTP9jnurZwYgQXic6LjXKAC6FkctbxqQQBePD2X92TPe0xmvoHibrDFETwC+IPPe2BL/+1l8QvvgMQX+1+ycWXX3/dDfhN35UDy3hMTE3NbJ9dnl9cW1mkW++Gxd/pycnpqbUlrj1L2F67UMIIG9HwX0mKxtvWaJvqZp1VIxyKwH6ia4RiDYmBZaMglxkeOci+hQUV1lPphLZb9xwbY7HwC1oz2CVqD06pDsx6LU2JQx2z17gvQtFtyqWOVkBuFWlTTA+KEeY8z6dq4wJs6FiHXAu1LZrGl0BxHgmIG/Cy27u5Qfjx6aXdenyzFbuljZNfJC4EqyRI0l80bFabY9mR/fLfMCvbAQ1Ofz/HKnxXqp91VRYDEFt1JiPsYFCd1q2DtiVUNch9wZsK9EMlQCm3z5LIPSN7pyO3kLLyASV9NDVKMnnYlBWLGDJ50o76opsb56lKh2oPBkR06g7LNVXoNbswEOI0Vb37sT80jrDhkV6SkU5ftRelvAzzcyo0rIzQRCijpz6yj6kYAtXVJFCkgQWUDJSU0VJ4I8BuPU+p0NFhhIF46u17np4pUWkIMrGkI+/cS45lzL0m5sAJY5SEPEkJJncyVaC2IAVRTIW3d7XcvMr0oY20C0BX6mVozjgIT28KN6lf4AgPJxNa5RnNWsgueBmWm7Vhp8WSdBKyWCMNZiEaDBUwmlJcBC6WPSykky7ZjXaajV4HpI+DbFCcABXq5nLv0DAFUT2EqjSQ1UPnlTRICGzAgUpubLgsCt9lnmpqPdohc9n0hFNkMSGc9NBSGhmLJn4lVdnJ0ydduGqeWrfIiJ7VZlSgi/DeL9SkI2ucpOvKsUAV3TAp/x1BO5S0m/AwgG4f/WuQRKoF1+LDI9l0IYdoKkCv1hB7dCUXSz9phrjqzPA/rM1wIG9ijoabQrZoNQjZ1prk2i8CMEZUwK3VkdVd0DPrOPM0l8LPJLVlQ/6npl4YCWusNYLsYZuDpJ4RRYB3AHBilmlnZ/EQuI6/EDUHwrtBD5R3adLwqapRB+1xFwPDKHEYv81L5mfOy7ExESJZVrO0FDw63UGPQTzUxhxtSuznXySWkTXFRmR2SLdaotlsahrR0VRmok+cLYB6D2KlTh7BrYwA1I1mQNP9yxFDEvWS4TGOiTzFFN6gI6/AKrUKlQu9XYW8m+Wj9zo7ZSBRySARMq+GkA5NRmSRjLyCa1PSK5MNXWFWex/qlo/Roca9reAd6vzltdptJfkjPA9PBQ71pBrMckikTXwFNPDxKmpJbu/RpbvBEdmjlye9ROES5//k2qZXQPT5Za6BuuDCi1728y+OrxXdvn3bmY96+Af4g75+sVUHvikOFRtPetzp+K7awLnp5ls+d/EXo9kjeFWqa6g8scDYjzTCbVJ4rzwj4L63G2680QG8BzR4i5Q8E3tfc/Fn3qFy+drr2kWmXbt2OuhGR4B4rD5T8tF+C4vEUsLGJxDkLreb6juAUd+dO3YYuFni9m8sbYzj9t/VFUwIaDnaWCdBFF3rDTIYlPudes9z//kNodmUcGBh8RX/959c+W/f3JTXQRhHLTJGUiYxW6gcY9vtajWCo1NXfjSXpcPtnhP8fIVN6ewCJdfbRLVw4MBf/81b//iP/gu+bldtcEPkI0970GPPfMTHP/Hp7DVMBqJwMBuVPQElpl0YWvzScIbCPX7XX38jXu8QA//5B474y8KGSFAYFqHkfSdMEP6xrclJv0fD77dOzG6fHZuaXNx3YHlpicB4wDMscvjNyICx1RYSJU8HFZqEkhjyngR+fjtj8w7g68sdwNHFhMSPUAGjSGh2nt09Caa1sri8vLhn7Ja9M9u2Te6YmcJvrOKzNDMzywcWD+yZx/UML3I1EEolBcCKWo4xhuW6hz/8Aeee+4bgsynhphtv+X9++8/+7atX93rpuJcJ6Z/S6A4EOLGwvHF57JY9t7z+df/4O7/7H6dn8Ikibrgr/ZGPeNBjHvOwCy/4rGoO4X58enJm2wzOh2X8IAG+kWJtHUvCxPdCD4gFvkMttMy52DLD6cRrGzsg6qN/UD7whgGhN1DfiEH573/21a9ele0QjyHlPz4NwA9nyISTE6rcbVxc8DkbTBVZmBdfnzfynAnaGCnuJyaOPebo08986JmPe9Q97nlycUeo9XXctP3es+X7/tfWlvYtLNw8vfOYXVOzU/gUSLZsZFCawJL8xDgu/vgJYHJGpGGbPQup4Qa2XRw4sCw9m0LJKdhaeDkqr9ao7RxErQWL59kMAHDDB4xwtiZqGYHlkpS9IMdMZRg4qn1cbEiK/2UzQS5grgO6OobCBQsb3q7XY5Cq1cNbA7CGOx2K3lsvMCLVpaECk76dBZrVZnjJBdccBK2OQ0Ax4VHRN7Pvd6FWvm4iJ0WlfEpEr3lDooglrQfaDOuRS1hbNyoP4WZgXrgRkfVPiw3TB5rjF9FC8LRLA0g7zhLV6uVb+j1/Zzg8e4HRCMXQ0ETtBqXXrQ9xYRVW87cruKmgY3RLXwh54lpXPrnQVlIWotJM1XKkztGrlDss1fqgBv2VQSC++OQm7MAHR2pq5jJe0DITQd9kCbs+Gk7DMrxsmaTrcLSpoibq6HWDrocbtWI9ZNdQ6vIZQKaGlDo0E9eHW4hJdbVofSNWo3ValkXydI2aWqvjtzmFzcXNObHwDC/J2xwyhJEmR49v4aHDazgbJJli09Ksi5MoS9Nop2S9z4+pa9OijLmeQe4r88gvoNZAH+aEDav0eUO8bAZJZoVVR6oVbJlGxNILtZXSOdF0An9UwSaXr6w7DeSpIbpwCVlFxc2EUiRDYfyD2wjg/x3fjyivX45dtdlgwq8iKUgBZyNosKHebJiDsZfsudtKdL62yVfXDYhYJSRkx3QknOFspZwWhPh+1pRYsChKzkJv6YzMHAQngQGErQFl8pGsHBo+PYgErVwK1YFSywCnvmdRfHg96GpL/+gSK+MUc32IQL3/Hx1RLVMaDi8dguevKipQMWO5OonlZCHTMGzKyFJbAAWtNCuJQRTF1aoJd+nvJekOdkT0YCJjHS1BpJU//Qt4L6sIq8UuNtEhKu4qDdcyR9jAJFghAmCsqaUTVAGSnUf3YwToxuqWEcb0k46ufUAlwfionzpK5HYqbnweEakiHUwiXPUs6tpepXfm42gJhUfFJbSVsEnEyvfWaBwUvxHyvzVyOBLj0FbgoObEoaXy/UKz9+s3Dq9//IyPLy6t7ltcOWpuGrf7TMiPLw7x1QLjEop/vJBaweWPxAHF16eY/fPzF376c48945EB/uQnnIEFYIFyHa6raPtzEgy8g8ePfvxfsEzVXEazAWVw0EfbgWs4Ouy031WvfsH2+u/dWC1zdnJBtvo3BzPn9T820G2f6tLNxGbWjWgdAURBCwpp48uT8gkSlVAD4Pn0xhtuygaoMRbGIjIzGhufnMZXonIBmL/ViiUHW/0lEx+QjMHv163aIzfgyJmzqW2z9gZeUuyJhs6h/RpzqImgctHMNrpg4UT3kiRvMZzAD46ip80B48KNxuOo+te+dtW7zj73hc//ScOSjym8/Oeff8kXL9+7Z38ohwiA4s2dfPgExYhKWI0dJKDc0ayM4g7g63AHMNekSYlAUR7K3OC1fdt95LvTCUVw/d1oSZkaiSMXg4mZ6R23P2pqanLvjXsuvXkfvmWe/odyc1bElD/GJXriTX5H7dyeY66tr11/bc8CMGxAzhCVpjZkvwFvFm1tfXF9/9K+8fmJyW0z+H7d6W3T+P3Uidmp5f2LywuLuLbgyjYxzrOKdPvOqK2fUFO6WJoTNVmZs5vTEgUZm8Sa4jg+diCq2oOzkUuv+C7icXwPwJVXfP297/3Qc5/3lLA6atfOn3vJsy/94lf27d0XSgqoktWuUm/YMD+wmpia3jaDKmE1XS7yG7puZOB8mlJDjcxNyfuA+ScSqzTgz5UtDwoWTxmpu3lsLj/Lcx1HAqJ/H3V44CMg9z317q/+i/8GjWUT00bONBgce+zRwNi166jp+vNMAXLDDTe9+k9fd9U3vqVZ49epscS+srqCqz2/sXxhEQPe5Qky+Onu8clJnLaLsOYHgrygAV0J0l/nC5U+L6onCaSU1XsgqBSkGbscEGPWPuladxey0aBZiDZ9JUR0qG0Jh9p4X0/SBaCRFKbEFgyU1eFhrrDBrdg2UL3NcEu90Clm0o0kbs1rJOjDY9SX/UaROJB1okSBVidq3dWAWTxxSF2dCStoZpzsuqIjZdsOWset8ZIXHsVLgtNHn5dLR42zEUd7VhenQRiYxuQysLuOuIVWvLTYiu8I3Ibga2p1clr4nG4U2+ZNM7WUdhjxEuQTrKp/URaDSHkIybA5CIFvFub5Z5yr6km/5+aVgSF593kPoCNppmrAzCOXCiQl0Q2KRVB3KsobnCAjEJWGfmRr4MpegTwJbdm+n5I5ZJtqdGxc0O8kzZQHjVl1RN0GcSOSe9SUHJDIFk4MCp+hZNQt7+HokUSt3EYhpigdelBbtS2MwxtPaF2TEGoXHTTz7z8MQsvWYSPp5J6Qe0Yn+jYS6Ou8mZIXMpekpOq9hmpG5u8wdcgylKJvmmobOdauTY2bzoFNovFVW6FNUwQW9qLVgNFWUtJjbja7+1PyyOz1/66DIs4M0w1JmUzDU4Uennzl6p2NtXEu2sS45eGhhLLaOW7x34RU5zUIqqmk1XeQ9QjhhXlKcwSX0Uy6I4eKtdOoQA2atMWCkw6t4DroDLbAg7oJUeHkCFkWHKtsC1YhDKg+B7Ttol+LRTpFJwMczYZoBWeNqEfmXmS3KkiNpsKUvIrzliU57SpkQvkUj/R68Z1pm1ifV88k62JKUi0aLxX1bOxaON8uZKSiXX3pirNxZiW0tJGERauD5or195Rckq3xTJruhTDnAOjgQWbsywqzrRmYUg51T4pb6CXzXmXq7xNz9dDvGfqlW98zK9eCPoiNdYOI9eqrApEP066VW+BjtWNBJWoeOK1Bcw2RyKniG2d5KC3qgT+UyFvFOsSlOMRwQ7LKpbz1og4htJmu2xzhzST3w2ebFoBxBdULDYYwT8E6abwTjXfdd86NzczO4DcCV5ZWeo2BoTB8k0AkQjqshvJLdgmAp13YYsPhQx/5eF4AfvAD7osvecZXUwJEXgnxTw9/y3j9Aafe+053PL4AjY2dx9uFB24aBd0mkKESpYvTNPdtc7Mm+eHGG32JNIC8a8hRXlRU2Aw7NobfXNy3b3+++3DnzuqGywoTPnw/G7qIHUJlOKyhgenHpaZsieetffvnl5eXp/3uUvTmW6u1OY5lpPGJNbzbj/VfYPAf0UCseubL0IdbBgFNpX71NkLYoQVE59B+xVeTYYYJBzQ50cnW/0OiFj81KutMVFcb7HWZVb5Udmxpcfld7zr3Eac95K7+5cxwP+bY27/8F1/4p//jtZXnoIZxbSlr5BQfIr4DvF4Zxa2x190gt35zSUjO8ZKeIiKRO590pz/8/d8cFL9Xv7K88r5zPvzG177DXtf1Gm1JSVZ2deF48tKB08hOJSKigPkchAZnwS237GXfkA04hJZNqibAruk7IjSKhm8vxjaG6+f+pcnt+DzN9MzczNT01MyOWSwDrywsoryghDoEfB/YodDJwpJHYQ76X/eTcpWVzKpYsLcJKX375uf/+d0ffOjDHnjSSSeqHS4Qd7zT8T/7s8/9n3/xJmo0QBeoQu1pwE8f0ocvnZ4Ym56YnJ5YXVpbml8aW1nDtxH0uA1XKZmhNuWjGjrDpSzmx2veCBBD8Xs7CQtgjS0iL6gwlVuQOR9k2vIiWxPAPMHsPfXUU3phN1TiG62v+trVb3rdOy+/9MpivL6O8xFrwLjfenb7zPL81OqB5dIrErjh2YE/CTE9hZuxF/mFEDrGw+qDRHSWydimOQFxmF8JXs3Zoh4kFVyVNEhVwhQXYuIERuzLmhSGnfrGoQHATr4JQ6+KGk6TygaBQKV1hK4IylBBTLZnWKUDzwEXiMGYBb1IwmJzLu6sRLx1WzhuLU8+QTQnnSbLAuQixDj11KIKLWcBBl/nV491o7Ig6sa+jNZ9wjSy7gX7zFKd5YUbYLqTqESpWOSQVQefqahIBvYytTrLss+AENlka3Li0AVQnr0jmYyHchuKryCauwytWZuGFSoD7iPix8QgV5JDZ9VMFnQSni0fSbFVJsdDI9p49w2vTqfqROhkXaU8iGwxai28IJpL0zu4MmqeXlMhizwXbNxD5QT8mEvXBDVoHCS8NouNEy6ajJVl44CZUtd2EDeLSIhe8ESnShz6XvvMpZWVg/AqviMQU5ziUuNadRPRbJkvbVnvGHpmeKvv2OdFO680Axcb1zZZGrD3StPOZPWVHkul22vuPIiNGeYgyTeJcCjcWpSSQ7ZBxXJTnQDZVSa8LYj6KqyDKuTTMnA5IcpVoGfQGpy6BGRHA8WWQ7H3GVI0tCwjRZ7lsx6Eks15ult45EHJpuY35JDo9Vixt7DqMdi0yql3HIWIlavT2aMwIMm8p7ur0mINjN91CE15+guVsY12FoZTMhoVD0XLV8+qO4M3cnfgG4OeZs1dIg0M50UbYFA/F1ks4qdcIlzS9bAaqiJG3zzsXMEMZZB+aJABnQPORbX2q0KuTyQsJrnHIzReG00YD4VjH5qeNDmqT1hYm3pQ7TG+vV29SomfGJSQg8yVeXGhh/8XbeqSMXPm6jjaXh1LEb269B5OrMJv5kxhJlLfaVu5dxoFILr62RTmYbix0LCViVFFVMJdPaB13BoyW6yaM7Vw2kxEjGfSqInV0903Onb8N3I4vP0/YHQOT7KjJjmq3dZZIkK51mwdZjTPw5/OaDyOWPWNRFoAHqVAuMitj88vrRy9PoO3feWi0zOZ2kB4yuffI37t4roGL9LSbqPqZRS9n//i5fj+1ePucIxaINaTH/eYt7zjPXprGpW27oSpvP7UJ56Zga786jeuuuqaXnwzQ4Dyt4jqoMKGfXtu4AufmXaC448mqrm6HvQe97FljBRK6ESs8t46sxaXlm3G6ZcDDd1VJDfHF9WurpYF4PWx+YUF72NUrv1i0QXfIoh3+/U2azzdeYF6IcP9sAioQa4HKOYcB4YcYKQVVZABJhkyDAeOhFpkH59kQpw7FXDQgKhwbY41BZ57OJMg6LLl/vmF//mXb/6TP/zPcd8h7qA94/SHX3DBZz/zmUsa9yHNnhQluLKmOD6Oe3kLwvoYvq54/74FnED6e5+CQHK6adP4FrfRpPHxbbMzo5lu2soIOk/3R1urPY7bcF3J48QEbpucwP3WoQxTYuB/cw2Rv20AFmbhWAk4WXhJZIXWcAvrMi4wy1gAnpybmt02N7UDdwRPr2yb4c2X+KwNfuC2cj5cDSsBawHRJ6RmiVs82wnJ3ypG9rguYkKyd23shptvee3f/cNv/85vxIScm50944yHferCi79w8aXkvclMpMAlX1YVF8DpCdzAism2zOKskmsxGU0C0AgbpoINvFZEXCwcL3abDrtxzJqYRZe07SlUhoOzR6fexogjWezdu+91r3n7Jz6K78zgDI4NYdbxGa8Dy7P4fW5+58fkysJSkzgLgqeCycnxKazF44mjziGwssCM2PYjhWbjiXVQW1yNKhRNDnt2a0P7m2hNs8KAo3UHAAGzjXRwl4VsIXr1AJg9q2cEkeFRgWhLVNYFTTGSa4qBwCjHK9DizV29ydsWXXVtdKSlJ33/3IrqbPLKwKvLYal8c6YGv0qQl9P9U6WyG9YYEMiS0t7y8mAY0qHvqyqbiJp4uGnJ0LK8qcR5wGUqpb4oAHl7AUNZhIxRtOKRPFPPYROlkM3rIAQzFuU6nhl3q26pDmKZKrGBJQLz34ANXf7XZ7LoSSFmio9NezR3P9cHRlQ7dvv/FHgjsYcYgTyocCq7guYG/axM60bFLUn9kcMgfKtLYRCDXaHllTPncJV2P8MSB1LtEF0HKchobBSdz4qwaTLIkW2uDQCqe7uznkiSXuVv50wT1U38mFkkOY9BUveE0d4mSnYZQSYZjdhzIdPM6g5WhE4MW80dBhuYmoahSbM5XEetYDWgzmmJXNl7AqkUzaCknhBr7CHkGWsAz4rG1hotja2hCEVx3ezZNiB+lGnLfDZ2bAap45DHdQDNjs8mFJtPUQkNDwGbvusEXVt9Dxw59fHaOP0hxRzSNTSXPiJwEC4D0gy8jQmHaRLMSwgn9UGLes0afo73jEaKK8OX2i46cjO2DVi3kgPrM8JgVW9lN4GdV1zVm9ANsTDvnXWlVyWSxv+hw9MbQEj2pEzjTgK9CC2V0dpCuCdur7fFBZ/uE9vQlHvRuspR8hqV6+Cn2m7cUTTNLBnFpbIpvA8WqYKNxuFBDfjRhJLkcPuhdj8QmQznf6T30FTgVhlqXQBGqKGzLiWEi9u+A/zZRf7in67r5t7m9QffT7bnGwSwyyBD8cKd/Fz09wtwDcV70eed/8kX/XT5ktuznnDGW9/xz3ANroQYH5ubmf2Jx5zmEDye95FPRBNxupEUAUjg4ZYQDDhU2sVvGa2v4Du2by/W7r/hMRGvbPFTx/hazqzat2++NMnGy+VvPUtvlKHYDpOAo4/aqIuCL5/Fyk1YoX4L+w+EGYs2ad/lq8uSmAhYLFEDfH9sU6vA2YqwPrZn396bbrplA1/NCwxYK6eygU9ft+agIH39jS7CNvrNNjG5UDQE5395G1+JVDiyAow1IZx1nNGMvf7lr3z13e/94POe/eSwxFx62S++8LLLr1icPxDK4YLErE0AX03W9bwIipGemsSXVcfGeunZLJUTEQh8iCIMRxPgUwUfzWuwFfAG8pA6erHX1/fPH8g33yPN2x9zu+uvu7ECFx8ZAcsukpRKshv86wJWANrgO5H69tLa2Bq+OXd5dXJpcn1lbRaXs21zM9um17bN4YeBl+cXm/vve7BGVmFE9tyy9+ab9gzzIH+mwGkJOylPz4jI+PJXq/33cfFzvJdedsU57z//J5/x+MDHz5n/7M8/77986auLB3RCyvBGd58Q9Ww7xXVyCt//PL22wu9/7htYGOmj9aZaN8HxRnVkzmmySOp6bvLU5FWORxEqv4NqcFD27L35xiGDIlF1IHTPgCIdVGRzxq3DL335T93lbie+823vw++LF8h1nPj81Wo8A+IXH/CQm62jjiwVSeDzQDNTE1NTK8vrS1gALv0FqUjSGyZE0DxCVUwbJFh4ymacfJIoE0BQZNZWPQpeqdAYZAfrRC5lluYIbNgBFEOVA9z0rWMK1uEGysH37HQD1aHleVqFAUWQAKKdNuz1ixwYShEohOgqP2Yz1W3tOp3wCl9X/tAeWb1uBW+j6XLeIxn+39oc0MvhgLlWzUCG2WoUcd3ibpR3u7aW+1YI2ZViBFcWzwpY6mhjhfHqBdLu5DlCnENl0kuogG/Q7akWB5mX0UyVKNVAbylIMmWs7iZTVWqDfjl2bajZiGnt5Zfk3oigp9NeCA2JWWMObA2jXTn1s7KT1avjRurZVLI5JaxuVZDUGJkYfOqwPXVzmsTfIG6iMLqor6U2gcyvwOnhOXpEt7TJIM0h0yybuWtcDIqikqJovUSRcq++gji4hlVVylohaQdU1SSR6VYl2kuwssiwkW9WFlngSzNJLEXvEzgRbZw7VBKNJCbUPtGfXPv6DolOaHa4HhLoEUG+X8F19OsrySDKOmDN9WyQ8eHSy3ys3rwbFknmaE9t5VTilWDg9ah3dgKpBwwEzFrICZ8eM4kJi56uYSkM6ksw8uT4fR6XQTSzPlFOYrZAJfuX7Wsjtgbnq4MxuL/GapnIGHInHW0v9D6OFKtudgyOalNuiEXNq6+VQkt3Fb44mFlfr04VmPYS1coN6Cz4m5LK88toV5kAJ30v2sFTimEFal9hGNYuhhRH3AYhDXDfpPkAlNuumvl/32qwceCNLW67pT/C/HBXYJN3AMslbX6Jv/M3MzPJ+37kYoc5iNck+m4wGUtbThqbnbTSF8TY4ysT0ccX4m129BMt7i8D4Ac//PG8AIwveX7Aqfe69PIrgEYreSLD7szTH75921xgLS+vfOwTn4omATuB2MsnvmIlEkFFywsvNu2/ufkNy7Gx4447Vg0G7REUvnRXiGKnlbC2hjn+uDuUfpH25IgEUhTsjVhjv2GTy+l9WxcOAzo3N1ue/yT4/IIvSMsgctyx6svC4uY//kQofhAYm8wFyBUq7ir78lf+7Td+6/doIP+xBz72cMTGNWNx5t62IuLbNXlf2pAtagOb4jfEAV0dQDhCl6GGA4jtqNE2gtJ+VET+4TeAscrb+oAaygA9CuKGY4tLy2/9h//1yNMedKcTT3CQ8RNOOPal/+65f/s3b2sh+tuaufVpDaISouVUxgLV7W63KwC4Brdtdv/CAd4EzqH0U58FJGCNEH4jC530R/bMhoVFwcOcJV1uuncHzub9+ODFca5AJhPjxx6Lr533BWBx4A5XJ7n4QJYTnVBaRwyNlIN3acs4FbQi2a2dxgD2nOG4e3KJt7SuL62Mr63Nbts2s31mbvvM0tzsth3V92+vrKx+4QuXv+IVr2JQSQw7nkdcS4NCTyidIyVmSDyhhtymqZkQkRkRj3uc4+ioNrQ5IbGXVGk3NrZ33/zb33HOw378/nc80eqI1es73/mOL3zxT77xdf9Y+fc1IoayqEykbxyrkLPTU/ix5AOrWJjEZU1owjBcK6eDbUj+CIEy8CoHOK2IfFV7BrdB+S+volJLJ5/VAC9+ToqbqJ2u+cp5gymESuJbJtzVckFtVcWoROUB/0w2iENwALmjj979jGc/6cQTj/8ff/y3y0vpe57xQ8tLKyg1fnQZE3Jp/4GV/5+97wCQo7jSntXmoJyFkFDOEiiBIhkRbYMxORh8xpyNDU53xudwv8M5cD6fMdiHwSaYaMA2OQghCQkJBSSSIkhCOefV5vB/33tV1dUzPbOzs7uSsNU721316r3vharunqnqqq6sgQViLFXDwqxW2Vi6PAtz5Strq+XGna5NgkIf9SwSH9OVtcwQpw1hMWQJS+BQQZgzXBbIUFhPcIEw2AF3kJJy0eBocZYYO0JWIONxOcl4ntR5D0GcFRhHRCIFrmOjirgQpdYaUZpCTwT3UUUKxSEtyyhhzmHbZtOSO6qYjNt8koybZHmB4paeVxIGAyNiae4apyVN0GRs4lE6RmZuVUgFo9nAySTX7zT4PJeMA6Z6vIJwMmRJuOiw5BrwTIphiLvixxmVTjVRxEYjSMYBJWYjIgNS9A9QgbXnt15B07+80bbAjyCVaJJlNJocA247KS/bToNha9i2QENSe6Qg4HPG+Anw4JtWUttciL3m37BtokBEnaqkRjqOpiTsed5IDMaGznvONRIhgt2ASklQ6WkGDVImUuFDhB5whkPs86SvzpdKlVZ7Aoc8XmdG9DXAeOIJhJJhR82dK8QhGToL7Q06JgxhLuR8G0KFqQHjbDNWRQYh0eJGUcxpqgpl70ymupDNjQL+pDDbRuTcTtdwEczkFA6fPhYhvUiHZNMTsf6wHSdpdfTd89/gOuYEPQFvXPSspNUZPgozO/lactMGnczTNDW3rImeEUEkHVGj5LINJeT65GIaYbitIu9cduwO3DEJxVoVgWYk9KoomUgmg5eiGsyFx1ngmae0MK41SVWGywIMm9LTpEEussPSpFbG2Wjx7NFqs8eQjYS2BTwmE/J5otOh2gpXVCCQCB/SHjAilchriwWd9zu3eUlHS0wk15XIe3gogd1B6vBoTkNLc4UrXdfS5UttevOgpNZxrNSLwGENeLMp8waA027n1TV1VTV1hXkYBspB/z5eHxiEAYbRNrXPt9JcrKBE++wxjBW6dFkIXD8Fg5f5jZu3Ybh3+NCBtjA27awpy1esZpZAhhy3/vOCRUsPHjzEVUl1s0eTDQ6iJ4QkmOSndrGTmQrMw6uuyc0NYpWXl9uhQ7u9e/ZZMECpN6HLP4ECM8nrjJIMd9i6do0fAMaanEbS+KiHpJ4oTvyeQnK3FGmvksRnx+3umwKPm3HXrnHD25wZSXbgYDwDg7/ZHKDEwCzgEWeM/kIKrmHEAtBSyJTdYAN7D3QzP93EJKFy8IMmcLzMbSg2OWF0dC+hBZ6MVxaZhEAUGBBcSVS5xQrKgpQtC46pygKuxJTxg2NpjAUDkrABGyOFGN/jaBxfPEmO0tLS3/zuz7/48bdYAbJhffJzzp4yf97iZR+sJgzYoqzS+uL6wgw8OfTUY0KBJMEymaFoaTyi0jt1bl++YStGfzEqpicLpARIzxyA1mM4cMGi98APOv6xp2uS4U623LycPn2PLykutoRmOcIWnol0BJrQ9JkKNpPDQc5aOVLgUOmhgAmFWVmdO3dYAZIVBw/s18EhxB9/VCO6xCNIcOAXp4eJgugPMMFsoZhCZYuZyk+2ulhtRVV5dS1etlrUuji/JL+odWHrDsHQu0DJIxFiCTFAAqaoF2w9oUgRmkh4u0C/RySCBVEyZVlVbBzwCpvPrmlI6OMIeAoEFF5hsBD0zj3/d+/j2giWnQAAQABJREFU//mDrzqRwsKCs86etPCtpSuXf5QI4iiEsFaElGkByrD8M96SXJALU7ludkUVEmIXOEISgpSwS4/LiSmiei7PuFAVgsqrXCu8q1uudo4bFYlz05qqsggIRuWx16nelND6clLISkPRZuTIXoJIkIMsH5eRUw8UtC9egr0N75NetWrt3XfhsQ9tVdowKUMpPhaAZ3Y4d79zlw79+vXuP7DX0GGD8vJzHQZucCeOHX7dFy794+8fc0ROU6+qwbuWc/GC6sJ8DL3XVNS4YEMHbgc5edlYHRqaMF24gYd1AlykpD7CXrjyhISNrBSYardMiRghbioKE7ysLytVQVBw+3SkURSmGd2kWmxhM4I4bcw1IEJMGFVBAioIrmFJoTxBYNlkzE4lrfNiL8vlTPCpSdMOQJpd+nJJAT+pBQhb5psXt+SnbwCfWD/pSAXy4VQyNFe1YXYvRw7PdK9EkgKczLJErfHiiflIi1JqScRoLCUTO6HDE0sWAbXEY/RMC0c2OUKYzwPIOBltT8ZwGQtaz1L4Liy+AnPTTDwVpZGSPePNmhMF4OyQ+2Q0hyhvkgVRuKR5FeY7zpuG0Zc8hCKvbE20jeIpLgVUFGxiW2qrQmhNtC1QbFMNWJvStKa3pXCdJW001thGHV2l28r3pf324dPTSHutLJo7ozpKwyDgkisJp2j1VMt3q2gDEXUUeLyGLQLZVnHcN+wkuGoDNUdAiUxIadpnSRJ1TSDbAITsicDzrh1amvKEiAA4kqRklSA22eA3FIGGHTAnROrIwJbkJ44tCWyJAJMqCzgatiuaQ3VF4IfZjSIbpYizJcyfVs76mRZzFFPKGk0QEOMb9JRiUbHFL63GX5DFQNGbWFMhuERPkkgleJWEYGMbaXOitgZv0REiqtmzMymPb6MYFvLdLw2n44MWnw9zB7mwIZ6FAUsDqZRWoj8qUdwGPLHEZ/bTiZwBJdHTkGRicSCaop2GViryJJImgy8NHktK5Y4vZK+jJkskaxDJo5oMKaAnwwRHmrC+D1FoLE8TKjArs5RvSmYIYan0KjEskyrX3HipdB0r+4RFAIOaaL9oIroPWR9BknJwV1bX4lKL0V8M96HTl2Rw42MPwhi/gyCu+Ogw1VmDZA9vuHprDzKKgI/9S9Nn+wPAp046+Xd/+HNVFbv+UQowjFaeOGKID/Oqrv+ciO4z6cCG2CNmswwS+Eh/vdx0jQocsnbt3tO9mzc3EKO2XTp7A8AGmjrBrqp1b0p4MCeiHOTOJ2VZsW4JA8A7d+mkwwQIDy2dJC0J2yNTqymqdeFAnD1Y2fuEE3o5OhKokd3GHpIxzosBYBwx4oFBYJ3fhqEFJkCVzRfXNKcFW29UF+rOJViRiTIpKBYqBUu6RQqVNmBSxqQFDRpiJDFwqEHQMCaK8YQAC167TD6kWL2YM/rOuyteeGnWheef7kTy8/Juuunqb3/rJ5zMp6CuzEs4k70EWztFgiPf9HvgQKknh1GfVoMH9tu8aZuMNfEpAJTCGnTm1dEwDk7D2o/Xb/7Wd3+BIp09iSEoTB1HS0BTYWupj2FUqX3XDl+/9YahgwY4/OT2OpYUCbpi3JHRNZuJFwGPGGzokq3HgyM+H4zs2LlDCMH+1tDRX5waFFQOCRsG/BA9Pt0iMUQafxhmm3raKcoH5tqa2mXLVm/ctC3QxWhQBlKcTF9fh5etHqqsrSnNK+ncBk/ZBJySwnAgH7OALmqTf1GkoZOk0IU5rZ1AhTkx69dsgCVm/CYXaJB5IRAGIVRVVy9ZsuzVV+dOmzbFSbTGQtBfuOwHt99RXe3NLnXFXsKoSbCHcUUDys1ulZddV1WHqagIfaJNHlIzJKVCqAVPOaC5mnbLUVh78fKUkI21bk4gLVEEpFm1jJLd1EHTdCwxfLTMOFs4KMghVuolCHZxCy0g9qUHy1etWIN2BFQsK87mLYAUahXLYfyyuIhzVmzurIV5eTknnjTslm/c0L5DW6cWaz+Mm3DSU4++cGC/XY8a08VrY7WYm15fx+e9cnKIqbhIoLmCVpCHeqmqrq/k27LVasfhsKMS5GXLd6+5tmLmiHJLiRCPL0JelSuvn2YjdYU8Z7EpxV50STD/LDR6hRM7FTE5G1fHZgW9ApD0/BQZQSSmy5lkIGlYyIGP2C6FsA81yUuKWpEQEjnpRIL83ibZOBqLFYEGRBR68o1L0mKxunFizcN9xBQb8/XkbqwviVKpKoXnfSo/E9FS2NNAzcu1KlK8AcEImeQSqbyJAGoMyZziiSLp6kwd63TOHCLQ96SmJBrXWEpwS0ke5MZiNgt/Y3zH3Sp6yzBwpuZY0RL+aHCPyttlOhXqiWSYpE16ajWs0PCl50Kj7ZHTQCKVLPrRkC1rVaLOwE4tS2Wt2paIIZRUgokiDXOLYYmCCZTD1rbCmiUWsLFhR8JyzZYzBqTlvjljM9ZtnW08ADXj6ycEMwxUZmKNMjiJioavII0PhydhvlV6FCQlXGFSM+VSnk42AvbYdJ1SAclgUtqSKNSo712J4g1SFD+yPiJkTYyCUAWpCO4EkmuZ6epLQGgCIa3A058In3zZpLY772ikSEQgaZmHZ5NxvHFZijV2A3JSWxvCSq3eNpqGUCLKjbsZGZbaqECZO2dEIF2pQB4pMVONbMBUXCm9r5JOdQgtvUwyWQ2Z1RLvjqU3oMNnS6ZIIVAKZncDcMzxisMK08eHnM8chglylodqnQ1BcULK8icUgOCZ7rOlgPXZohBJ83lSQCUT9+megT65Uek0MHyLHXa6AXYC6STSMCYdmJQ86o3RxLELc21JKXQEC9XSw2Pk4Yi/hjK1pmBWaxB4PwJMS967hqIq9x6qblOEKUMYLsyur0OfPnhSKwKH1r/50i2gsgsUI8XpazzIyYsGNGvugq/dfD3ebKpcRUWFUyaOnzHrTVFHpdPOnOI3rD179y1++312KiRiK4TsaYryBP3CJFA5dEvXDTwmF+2NrVz5UdwAMBbdXbnyQwdJQdkURC/PsD+4TKNUoJxdkuCue4+uKuv2K4jsIB1ZEknIISaGzwAkswf8agn2GkAmMEiQ3apvn7gB4Lq16zY4fIw8cAQY87041EBrMKKgQyPElLRj1gSQMQRo9JHJJMUAZiQRJwTkBLJ1Ko41wyzg0wNULuyjNy1IMDaaOaA6PJFEjkdTFZGXSgqgRSFcHLWQ0IsHeB7ijw89NX7cyC6dOyo8hnp69ux+xZWf+vODTwcKE1LGZIm/gRMN0v5Zt/hAU11d7fqPN02cONYBZGe3GjSo78zX55HTmg/7yc/HOzh2iPmQchqJidiBzehzMPUYAM4vKcjPC1447coak3CRtOcMCF6I0D5xVVH9ysrzEptEmW5Ksq627mO4OSlwEw29c6f2zhLKiJyIcBouctiZc5wTf7kgNsaAZVYLFMJpYLQaOKjvl796vcPBC5UxHfZHP7pTKeRDSoyRMVdMqsaAHU6ZupqKyoPb95YVhJaABi9ON24O0YZWKKxOv8jjikpCN9W7zWUUjOP0NC4KkY7TWYxRwSQNKmOCcfSHHn5mzOhhnTB8Llt2dvYJfXpecul5Tzz2bJw+pzhsRkC2KbagHKz/nJdXfvBQVTnXJIgyyrI37Qhk+o1/XNAYUNQIB1BlrXsGA+k4DUqkhC3hURqekgyZuOltEJATEEcd/dWBZ2TZPNhGQhv05qAqcGVGdcRa1aFWWD/YWEkIH+pGzk3i1lTXLH37g//6wZ0/+uW3C4uCFyiUFBdNmDL6lednOWjckuuq8SrguqzC3LyCvIrc7LoaDPRyAxBcwxgwHgGpqKkvrzJ0KWxoxzARQHdR3LBXGGwZMgnB8wjkRdajaI6OU1lQIH3+KRRbhXpUGyBtFLhSArK9K4MjawIxRwWF1HockSJeOZNO1jErxWWVP5HN0mlbwqatM6okgbUxBAMYZ1tjEJrA2+zeNGBLS3mZ6sLd0j62lE8NhPLwFx9GR6nKnm9Sf81ViQJ6GB3JoJbEOvny4F14M8BJWyTjmOgXJt4qm6t6PJtNJWkr8OjpJY1PzWibNEkob0rjCUW6GW3zY9Icdvp46afRCJoSnLAibVs+zfz28EnNmY7+pp6goQVaeoIOEEwttlAbIT7+Al+CVJQxqWgwtMWMlDjQUrdlbqdCQN5Dc7DNmEizGTWjxqMDKq2aSYspzp9MZDwIre4Mrh3ptpPQNd1TfNQnEwObXttNlIty1eNKN5JRMMlp5otBBjUbj2ns4yGFqZ5D8QChvB/EtI2jXu2bQgJSujioZ5HtERQrMHigWpQtUYtvQ8g4yfTv2bVn1/Yd25QUFeYdOFS5r/TQuk3b12/bg+6KMHMoGuY3sUC7tSqDRUw9I0zN4Au8pGisBDaZtao0J5tz6lSLHixO2CjyyBZVWSqO/iZ/nTlnpJSaSALUeIRaF02IqmrC/YxdlK44UBQQIeLqy0gZ3ewikc03WxtPKJ7a2HTUxliA3iprg48ZGQeum4eNfHGwJGkBOg/9MmV3aHVwkry6OQs9mpSYgSWmNU7K37x744kH6uvynfBYTNK4hVy86cKAUBj51DCJwMkokWocs4beZa3ygBCZkkZjS+IV2OiQ7sfF8h/mo3TfG522BdI0Y7ZrYA2aZfyy7sXxp48jgooiNsgu80ClV4NRA8C+BzBCGxz8CBDrSyuqa2rrsSQkhoJcyHy56LT7FqxuBYCGHdr0azgTEorSsvI35i06+/RJDvCcM6e8jgFghaqPnXtmMM8MPDNmzcMVITQ7ijgSSwchCZiAMQs6h382XOMpE8ii81zeeyne12Pd6dNPm+gDnHLy6Bk61Vip1KD+0HDice9tarDoE+8FWM6Ek8ed5PExuWy5LHMdR21kVmyAjFqSYI+6K/aIncYejOqfdNIIXxXiuXbtRlDgAYbScGCl18dwQ8JVFWMSbmNIOQAc8ltL/dPASpjWYLMOJioByAjUKE7S4r4BeGxQ5nAawtRyx+6h2KRypOWAFeExARIEGSxQJMQqERIUfCgp/9JwNc1b9f79B3/7u4d//MNbnRrU4/nnnTFv3uK1H21wxHACaiAa0gVsfkiW1stR4Kya2ppl74caJG7Jo0YNRTOQu68xFoKIO2u/LquWttJQsTZQq+BQiUIsJ4sXi+bn53fvHppbH3A3nBIVvhJDCCRtI6NLZkNCvj7pGSpkfIdohamOH334sWXiEQ4OGz7Yp0CVtC353hKL4RkIbKBICIiE0wEHBM0FBQPA/Qec4IPge9mWrTtAEdsopczY8wMqPhx15Iaxt6pD5ZK0u6ys3LxcrAtdse8gxpJFQousr5axgaMYanlohjXE0hRP9mqMLTCsIEolU1a/hTEljWfHjl1/uO8v3739ZieCZ3emnX/qwoXvfLyGF5PQFrIkVIKMWoYw5hTl5RbkI96YQo230Btv49lFQGUSi9KgWE9NDSLrPvLNWi9yPF8jNytuqs81hKiLYiSAIQIHTmhjoC54q8/ZSBKESAPkFxWHrGUMGCeiCR+qiQPAyEntAANZrBq9beuON2bMn3bR6c4UNK2Bg/v5A8AQw5UeLS23VVZOYV5uYW7lwUrHjyVAuP5zTk5VZU2V/53KcTSUsHVFd5PwWhYUB1weUcXgWzwABn7Jhlg5OU8MSUdWaAUycHIII4oGD8Hw+ygkMbq6IdzBxcA6GAawrEbCHgKmwHofKlBgUknPB4uoR6iTQMXbHObKNBdYnSnC4ZdLUgGH35B/YI1HUYyPUBOVCNgw4FtDoyubsuampLKNh2i0ziYLhLzmlacpRmv0JA6MRZRxmcNbWEFtmp2ECNUU8pkbRjDzT5wMIijiceFqkj2ww22BbZmYZmCiLNSiZrPTGXyEE/yJHN6SxS0915OHLqwlnIu3IVza3Dl+NTEakzmbtkoJXxLzk5BTYntRtkbKKebRU8onFtIK+++VZg7ogRwVyWb2pJnhEkPUCAVptaC0mBLNaDrFv3ZEn0iNcNU00pZwJokVSchNj0smCOn5nR5XJvrD3wi0ZjVA0TUbp8PFkhbG31JcYZxQhlmv2ZnugxRA/33rVRiaxXDp/kNlt9/9lw3bdoeYvYDedMnp500YmZOT/fTrix568U281CvEye9MxhHfP6Q/NWXMRVNO6tqxrbtgqyC4N27b9eRrC2ctWS49Y47sgK36+voR/Y//zy9+tkDegfX32YsffG5OlRggHdqWzQDUlxQV3Psf/9KmqBBdCU+8Ov+xV+Zj/MOBusSpowffesW5+XlmVMVYn6Q2Nu/ac+sdD5ZVVjlxSQS+njlu2FcuPQdoas3PHnh23nsfumFge0MNpBGuXl07/u83rysqMPPlfvP4y9MXvF/DTsLoDSJ3/fsNJ3Tv5FVxiBMxKT1UuXX3nkXL1j0/Z0lpORbei/cHFpt4SdHpY4fddiWCELxcLIQYzmzeueeWX9xfhre52bq25caiBtFg4c49Bzbv3Dtr8fJZS5fXcHJCgoUwMKhSTgcIclZfkmM8lLLdduV5I/odD5Sv/PKB8orKhJA4MI1WoA8ddFNGDxnSu3ufnl06tW2972DZ1j37Vq7dNH3BB3jPqOLANknIrAXPbgNKiwJApynthPUoK9b3+G7/ds2FBXm5z7yx+Lk3luDFg3GVS1bDrj1pJmznnDKym1s40AslxYX/rfc/XL1hSyCdYBw506+EBPE0CZ3atZ584qD+x3fvf3zXwvy8LTv3bti2a9biZcvXbm4QQatAjRw5oNfJwweccFznXt06VVRVf7xlx7rNO16Z/+7OvQfSwJGIiLOnjBgwvH+vAb26AefAofL1W3euXr/ludmLgWkj70VToC2dcdWA9e7e+fRxw/of363PcV0R7i079mzasfv52W+v3bwdEspvKo15W4EuFQ67NwDMKoGEWEBtoj/JTi5+9Rggyc7BYCuHiVJv7IaVbmyjXVUlykhfM8iKp7Avv/aGPwA8asQQzHTcvhP3lXqk4ybmvvraHA9VYLBTOK9A3EMvrZxI0hQZOPxhw8w7Q6EcLc2KLV8RTPZVmNEnjWjduoQv6wWP00MEkXJ7q1quQPCeGhFaF92Rwwd37BjMMgRaeXnF2nXrQ8amzFgNYSaxCVbAFzDUqoWSVj5aIbb49qA2Rwwb3L59sCgomMvKyzdv2SpSmOSI2b9YDxUrD9fUcVlQXf4XQIrFNupcU0W6D8jh4nDOl7BpWB7toWXgERyKpKxobklklJyk0CGinCwNsTn+9BIGNWBWAgx3iiRMyWJIF4WTOyui7ba6rnbB4ndee33eWWdMdPgFhQU3f+ma22//uaP4CYCx0hgpDlcoHloN7p8ccZAJnXqaYpR33doNpYfKMDtQESDXpUvH0WNGvL34PcpC2Ay0ZGE9eI40WfPAL0mwgDHYkMkpyM8vyO/epWNRQTABMeBoIGUUhA9GhibxHyrpIUyzCcmIdcZN+5wHmPHVas1HG/DFkc83yAbhrl06DRrSd9WKtVQkgnJiMUpo+/iAxn8EjW5LFFRYLcNgXKusuAFgxHOj3B3BiLqmsG60kimJFVPSElAljoOlKMCKuyUd2+QX51UeKCvfX47zEKayTEo1Eb0HkoIZyFAmUgS4/Bj4KBYNiy2RXKyiqmr+gndmz1546qnjbUmsbfu2n7/xsh//8NdGuStIJ9EqC48LYHiyoryyugwDkMAI25QJaLRiTJ31N6NG2hBDEa/Y8aIShNcICB1WSXU6pgYTLtSAUSdVI/aYXE4dsESOcVBotSzjUtV8eqkOy/N7TUfDI+YEgSs7VP76q2+ec+FpFJQNv8e6H2dWpNCGDe766prqiuq8oppczMDO9waAZVns7FwsLJ1VU1+PZ8KSxkbAxQY1xLM9HSEr3gCvDbYdgNUQyg1dginizgB12TjuGYRkSI8IMEBOMsxscgbIuwagwJMKYVJHajhFBQ9ao6IYfqPHaA1AwoqJHuY0AkLUs9RQjh0aH4HI0DYepsUkMrEvE5k0HQhaaZoC/9hs9mprvDRnox8k4UioEJ/jExkhdTzC32TeJMaBMWjxOCREPpl9yegtZWFcy6F6RtNTR9Ptf2CdxxAQmzkVYVsjNBwOCxthzmFkTRK3JrfBZC5kGulM5Xw7Qr7GtVyfL5yWb7xKSmpE0oIwVHwuWZST0ePlE/M0JENjEsE+cZSj0PN0qzJd09Pla9G6i3YqiprS3JSFmToQZUWmWA3JZeRA2kJpMzZkZlrlGjde7MJb6P6uN/d4lrBAklzTvfEuxJ4OH7dtSSFn1mbF2pUUXX3uxF898lIlhjeU2fGFYXp27YD+hxQ/h1GkHRQYiP3a5edMGN4PfXQOzP3OxQ9gjKx885rzB/fpcd/fZ6MPymEyXHrrsapXrt9aWl6OAWCQJ4wY8PBL8/BEPLgsLI5BjMcO7cthXekX3L7ngPT7Of8DzjbFRegJMYogT6ykvT/tSorJYl9/JdZRoxhAd9FZiby1N3b6mKELl62rrQ2cchYgofGZOmYolmV19J5dO+JlcegedF45/xxs65JCppNseTk5HdriUzys7/ETRg744T1P7TlQGkRVjNasAywpLlRjkkCGyGgtGI/Vl4hKgRv1ZLcqcEoKG0CDhcd16YDP+GH9Lj593E//+Nctu/ZTWDYxULy3TYhkU5yOmSYyBk4wO2JYcdTgkqJ8zEMBBJa6FHLKHeTxrs+Obb9+5fkjBhzvZkjD7GH9ep41bvjl0yb9/slX5r+/BpgOSCYb+Y4YRTxX0lHqgEKJwNpzxo/s2aUDevwQZLCIuqAUFD8jEUXtkHbd+ZO7uAHgELjJ7Np3YNV6DrLCeuOAHLQ6lEkrIUXbiwJuBG3q6CHfuvrC1sV0TTdcHDAEe9nZEzAG/JtHX9wrL3wUM2xzYSMBb+A3Rse/ctm0i6aO8dvKwF7dwXT1eVPueuLlF+YuMeg8GF+FEoCA2qao4Ds3fGbq6KEec2xo357nTTrp6vOn3PX4S9Pfes8vCiHZAph6xbRJ//q5aXm5wbhtX+mtvfycSdPfevcn9z4V+WAKAcQ07kw1G/PMUIdVEXX0nZJyRAtdvRXVXAkSA4KtQhP0oxDCNGiWD6o+iJGyQBVHVmCkHVwBfem7y3ZwuNdsqImzzpismXPPmmrJPK7+cN3HG9DsAKMfVxjvg9qgFa1WqCkUw91WPjp0KsnYhk2bN2/Z5uCQwCTIs86cqvzIkk3+eW/gpEA5aNSNv3SXH0VBgkbVn3vOaUpw+4WL3wmtauAKwgnjEi0IF0gONNrvm6QWoVRsUEsCe0QqNyfn3HPP8OEwS2zF8g8xZAU1lMPiz1jwsw4LgtZiIqOACTsDCjA1xrjo49Bt/XjUKD5brH5FuWY54o4UEHZxm8qiNoWNKlFaA+VaLGqSYySWOFQraY9s69jEWGcxEi7tsKSmDFlqUtb3MCOQ9Lyysvre+5/Yuy94JgVDj3369PrMxec5kFAC1WlaAo+EplVsvPgoMJuxRBVP533w/kpfHC8EPfvsKWqqCItt4qhzzkAGYqaEhyy8GTcvv7hgXHi6ecAbnRIFYpKmaDPhIjYaJPYZI5ERG5XVxFAchLM4Yl9RXoGhbh8rJzd78pSTqQEsRq9EB6/yNbI40UQexahNUIVZzKJxuNn3H9jHx0Rw18vd0SdqWlyhlZIQe4nh2S1FuPLiqlvUurikc7s23dsXti7CyQcPOPqXbCOOXxaf98uQ9lUi7WeV07QZKZDIaBA0FlR18EDpAw89vW/fQYeM9SIGDOpzwafOIiVkjGOJSNApPmeShZmmeIdtbXVNVVlluC4bgRahIA2S776k/e8DSeQ1wEm//wdSiZFw6jRh91DKU00j73gCID6FwI2rVcsZTWbLhyBKmELacGHfs3vv9m27HAju5x07tc/Lywv4sJRTbX1tRRUXguba//JsCAXqsVg5KgWPBdXUYfS3gVqgIQGoVRhH8bKS9PJWQo8okIcS6SJbp34cD4tdhoVu0xIt1Kuvo8QlUMo2LUjp7MkPNZ4IKHg0Q2WlFHgBoPDy5I78qEcs4nIbnFNsP/zyH/kJ4uACEpeQX+YMRRz9WPYfLQJy3WmkU5GN6hix5SOAd2bwwyd37IcXtySn+SefHuGvczwu0ZQ4NNdV7igPOO/xttkgwbb0j9x4ou99R3kdHVXmZXReZHJDaUgR2y3XoGzwgxbeyHvZMf4WjUCS9pz0q2kS/uDLsP/F+Eil+cU4na3RTZHf34/c5+j4tp8Q2CNVy9Sb9jerFj2JEsCTNRL8sPc+NB4nWgYf67j3I7RZaiFctzg9sPEkwfS70YN7c7hLu9v0dDfjougtU06VpiHs6Al/BIZhwTSIPsd1uuOrl08a2V9naEAYL797/6ONmOS6cu3myppqp/eCSSf97JbLunVqzV5wdsZLX7gkpLeOWYyULFi+VpfQ69axXd+enfEdythJa0PJiSMH5MpCxFXV1QuXreUonXoU5sRvfLotH/SQ81Nbl/RTgw50tYlVyb4C9T2oXwkj4GQbM6xv25IC2sVRY8iaj6FAOrv+tNGD8VpOI8AD48baxjAlBwToOLP4Z0hB93hjGNaRxfVkH0w1tiyDenfHnGlM7Q1clykw7DoVY6QPleBu8wGTpOG4c4RjqSYObN4MiG9hIkLcQAnmVn7j2gvz83M0sHCQaHSbzmIgXBI2BKxCk9agRO3J4nMVFuR+7bKzC2XiuLhphRgUNjb/wyoVDUDA7JWffeWKUQN7udFfFyUkOrdr/e3rLuojU7EDCGkeNMCEBfHRpgKTxC3JKrGx+5NH9D9j3FB0yUK7+Kh7IkugQnvLwEhixfXUo78A1MbDkNiNUYQiAmnEkOMmWU025/6zZ4z/fzd9zh/99dFPGzvsh1/6HNp+ona10BmJSvnUqWPR5+mLaxoPo2BM97QxQ8FsN3VQ96QxtLFYYUHen/7zy3Gjvw6wU7s2P/zSZeOG9QPF4sQflfmaC6beetUF/uivA4GF50w48ZvXfspSJNAWhgaFN7GNpJyghzjMkToH+f1l1SUFGDHMzsnJra2JW8cgSlrOZQaS4UST9k/tgN9ZZkhgjdW/+vqcay7/jGM66/TJjz7+TGFBwdRJ4xwRCcwVlohH1JbPhjTVwwCYhF8WciMS6xgmqTRe0sCCPbh4Qc2KvfDSjJu+cDWSbvvcZy+c8frc/fv3UwTnn4QZaUhJMxIs5ZY+e/kVA+fZmnj5jWUNHTJw4sSQC2B//oUZToWfoC2y8aYhK8QKhYoTN7HBXY3EKVjl8TEAsIoREHvQFFrljBwxBEv7elwxvCpyxsw3DYVecA4wsni9g7YqjaRAwyVCKd0HYTped0CjiNt8NkdMnmBrEU8gB/+Q1HxInRVnyKM2NSBJoRVgcQMsljXyKLJqoA/j36wDOQljkGVKYk9f4YU6ohaxVlGGVlcX27V73z33Pvadb3/JiWLG5Gc+c857765wFJeACD740gNBJEzkACo3m2zcB6R5gAAVVdU1L70085RTRjtxPACBGcAjRw0x4OIUqsNYxxQ2gVV4Jym03ILcvKL8Xj26TUlo/z6jlzZYHqXhpPoIPropLQMUrQTnJs8mRA8vTa2vr66umTlzvj9hNycn57TTTnnh+RlbNm8HG31SfvFTz7LAMtHHKxY3BhVLJAwZMaBLl05C4Q4Ae/fu+2j1OkfRhMqQgeKmATDFYlcovJhqWV1TumN/QZvC3MKC4g55eDMrZsdWHKzEO4Nx8058O2wYAGhhQEFNuUtskLxq8CPmaoO0hiLAtBpPiGzZsvP+B576+m03OPDi4qILP33WmtUbHCVlwtiJdYbxuujs3Nz6qtqaymp8vVAVKWXTLnTxcIkEUT9eSKOKncsJvPHRVVmpxwjeJCR8cQxtEmyhyOUaKXsMseFywuYt9yy0A7wQON4aNHX5LSleUBan9oZ1m7p17+yAcIUvLimq5LI8ZsM352ostVNdk52fi1Ui8FOIX6VjWfixkZ2XU58NkBhqRRurFWroaC0wJtosAxsZLCUabokPOG1LZtKmPcVC9vJICoyR5A9TRwnxakZVmgKbkQCLMqX48HruW3oESMCs5znyIb2m3CKwVOajWxvM0ZNJ1hAT6ThdLTFl8w1sbHTK2B2Y32iEJggcVq1eDTTB5BYVPfpMPKw11GBsjy5rGjT3GMORisCxhnKkIn8Y9R5NV8ujyZbDWAWfGFVHrn5E85FT72rok3NJbESwGsHqAnEUJo68G2lZcCSbUFoG+r/M0hM4XI3hSIYuykeJjhcir1fz5kvOXLFu894DslKm9mqwM4nM8mMZaebZoWJ+nFowS9aeDkxsxXK1vbp11H6PHfsO/ObRl9/9aH0N5qKJKBjGDe172xXntmldDNHBJ/S45XPTfnTvX7FgHBD1h7mq4pOV/CVc/8bSVZh8mYPH2GOxCcP7r/54iwxcWUNMz0AWRnpG9O+p43YLl687VFZmOeyRnPpnooPukStv/21pGRYHpjtmZxw0PKGDxEQ8BjdcFHu1y9Ly5WVnTzlp4N9nvs1JfoKKEhGBK+wfOmnACVhVOK5fCAZwMEMCLEjoUJD4y5FDiyzk9tir8x55aW4VnvIXZsihe6dr+7anjOx/7QVTS7BMI6Lap0f3jm3XbdkBB0UIO9YenQcQkzzqBp7Lb7/zYHmFUmiJiYA9Kp/ll85EQVP3JRCcaCOboP3m4CEu/meAgJYV69y+Deru+gtPw8ugITeyfy+M1s9ctByjxZSTADnjCAyfRQnUqr2K3+C+beviCcP6YjiwT48umFtl+IGC8Ac1y6TgU7ek1b2sS88aj9k6WjuLlq956rUFCCMG/y49YzzmbSPUhfn5X7zkjO//7i/lcWuh03qxWKx39Ust1GstadABYYDUkBOOO3XMkPMmnuTWKqcP8vEcEXDriQTNKDrBdhViOeU/vzjHF6E57NeqX7x8DejcBJeWQjv/GRxSkbHgpDbr1qa48PMXnaaQeMLj/udmzX9vdWlZxZghff/l4jM6tClB0YmDTrji3EmPvDhH2MQipMRCHBFkkDDl/ayTRwpDDOJ3/+WVd1Z/XFyYjxWwLzvbrLT69asvXLRsDd5Uq84qs+4VBKBXnzcZj5go8YM1G//8/GxMj+7Yrs015005fdxw0MH5gy9ddtm3fyULwrM9OUu0fgHeoW3J5+2r+g6VV9z52ItLVqxFX/ikEwd+8eKzOrTFwy6xT58+/vk5i9//cIP1Q3UKmLroNRZgQq+ZSmzokPM4jDQOifT6WEV1Lfp8CzADP5fLcopgnN4AACkLzGqnZm3UIRbo4Zil0nhJk+sKdtNnzPUHgHt07zp82MBu3bpiDNgBYPAGLwB22dQJ2iAWIWG0iF7qZqvloCoGenR4Q3vMX3t97rVXfbawMNCIt1ped+2ld971RwjIcxN4zEYfMpGRV23n4jjnY8nELHotzkMP+tn/5QtXxdmJxZ9XrAyWm/YbAk2zmKIRBAYoMeigwAkag4VtKWM26pJqgBhGB7DnJlQMGvU8vvvNN1/HnN0gtmPX7iVL3gfBaAEfB4DFTQ7DiIE4IFh6TYyyR8Q9MzX01ELlcnHTFEkNbCYiFg1ZnqpUj7iSin9OmbIMHhzc8XJMMnxiMAokDl655uMlPIbGJQEXaVQ8ijXDHl05npaWO4p6IQ2Axsm/+hHDl6E5cxedOmXcBG+kFkNuX7zpqqrK4LWdCsnaZ9RkcFTGhNBagIaPnoPZeDSLVQ12vgZ4xQcfrVq9dtDAvs6i/Py8f/niVd/85o8qK7iEPU0SBDY8kSOB4tTkb8jll+QXFRd+9lPT9HkCvzQhTQiBYQkAiebyCdweQfnIzg+DxI/aBADYyRYDH1EEm7OycA15c87ia6672L+wFBUXXXf9Z3/2X7+DIJ9VIwBPLruJQml6qkJUkQjU4pLCG2+60jMphkfs3nrrHY0w6C7mdEiiBwvFGjRsJrEl+oopmaV7DlZVVhe0qcZEagylZ+NCXFBRub+sqryiuqqalaviIeFQRsEb2LurpJ6lYW4OmtMDZyHxJcsHVJCoqKyaM2fhpAljxtv7KBjad2h3/Y2XYmmBMJifI47bkIEvBW0KsvNyy0vLMcjNmiTVsWSaCOkJQOLIqgoNTy5y1ApKHI8Is0UEKGoghY0IipKbrILYewhM0lfd9Gj2tm2YMu+AyOvvA6GBz9qE1qUZ1oykBKSmpmbjhq3jJwbvoWe0C/M9SELUV9fWVNfiDcx4DXBOfl5VOWqhPis3B09y4D0Q1bUo9yz3hdWOkGNaLAYpXT2Nl5JHUYz9coKBwSixQXEUeilEmGXhhRLcbCzZ6EUWlynEl/wioxBG3NCAaQKo9HCpQlqNJhccLLOtAlpoacIlmURKGAGtSmZ0eaKB+54wiUFBgOFSKQsdV1MSnjVNgclMtmnKGx+cxktk5tdhlmpBt5pWQy0Qhxb0tQWsPQZ5LALHItASEcCF6Z/iUnDUXYCbqzIzcSwTmeayN1Oco6KVJg9c8pJMHW6yXHNH7Ch0UWKUxK4k5CaHNSVAVMxbxJAWAY1yLcqjKL50aU0zPFPpTOXS8ooh4k/V8K20S/s215w7+f/++lpFJV/xCwvkB7rpE8FBeyhAtz+SbajFWOn+IOi5E0b16NxOB97WbN7+4/ue2b5rD7uQpCsNejE3d+47q/Cazx988ZLjOrdHJ8bYIX2H9zt+8Yp1dbW6TC9o1MOeePYiZr2/euOe/aWARVpWgX6zrgqQMEB080Bjxg7pX5CbK8msN5as5PwDdBxw8zlFyPqAMkBoLx9p7InH3hUrvvHUoWhfD8eexDwYiiLDRHWxU0cPe+6NpZXVNYQSDIkjASB1BsYRvfWfKUDVqjzQLR0ehGa3gsiTExuZZSYyjqxGzIep27Rjz5PTF27fvf87n/+Mvi951IDe67fsREQpor0yhGI8ZW8tY7GYKbEilRbLzuyFw+6oT9KawF5aBohM6qadpTTSAdXFYNvfZr29fe/B73/hErVwwPHd8D5g1URU+CKg4nJgp1ivZVZBkiMWAT5r/NCi/HzPlsAk2wCVQiekaqhSgwwKXpR6weTRujr3G0tX3vHQcxVVPB32HCj/rweeRYPCQCDGgAf27o7GqaElnEREq0igWGHwS2tNoq1MQYgolWQ7vmvHn3/1io5tWwej15YTkOiy11YtxqNAdDNDcBs6JjH+rXKYfD9z8XJNBxUrARAiLDVg6ocNCAvFBQPuPDJQTT5ccc7EEjtO98N7nnzz3VVqyItvLsXQ+59+cLPODJ44atAjL74hJoacVmdhxadPM5Mz8XrmW37+x7Vbdohp9avWb9m97yCWYkYW47JTxwx54Q1dCBqNjYGTKpPTOBZr17roinMmqU/vrl7/zV89iDf+IhQ79x783u8eu+Xy8648l+sZY1gaK0LDPImV6lEhEgD4mdPHY+wZaYzy3PSj/8Mbf9kYYrG/z1y4ct3mP3z/ZkzGRemwfr0wAAx8E3u1R5FwuhLMtB+m+MLbuC3QrwW2bcXTsQgwh0HwXIy+FDYOJpR1sgATPDnCKZt33DDXfbQJisTWbduXrVjtuJA4+4wp08LrP89bsORg6SGfJ1Ua1xW5tMACDFxyDAjWSL3BWMRFnOPgBhKSjeEdqK/OeCMO86wzppx37hmWWaW4Z6Ct14BVP81eFCP95S9f369v7zjAZ559JY7iZVmZOgFR4amHpnosNonHosQqZZDxWlukLiNnveZrSo/r2e17/3Frhw7mOQXlxdjAzJlv4nanGrDH8C/mf3EMDBctYIOPGfoq+6T2sNT7MLCMkBHSlDXQHVWty7qE0qlT1OL+o7cEyQMTsyCjRAMDVFIMMJUlFKeADVPhQXKJoDhFKlJxcpAo9sTTAvr0lRdoq9qKeJABDAMgVQBTK6uq7vnD46XeiYATdODAPsNHDPaNFmne5IGrlwA2f4CCJIgSKzYbVK80pFhlddWzz0wPgWSh2eChgWshCX6y4XktNgG3KTsKZbPOtsrJzi8unHjy6H59evmACWmtMakB23hos8VJ4A8IZOO/eIUxMU0IzRQJIBuhnClc0ByNOlZ/4EApxoADIC723mrsuFEXXIjTHJrpI79/UQ4bGPHPrxEaPhNGUZSXm3vJ587H0yo+Gi7f898kPsWkQBO0UEyiDnxQqjr0+5sPIWkYXFFafmD7vv3b9x7afwjjqbmF+cVd25Z0bpubnyfrtCucSjptCUApCPLVTcNo9h4zm40sPSiOs8DabCxXyoEDhzAJ+FBpGTlkw41q4JC+Q4YPsIS4I2BCG/BzsDpBQX5WdlZNZVVNBcIfYsgk03A8JPzilFypqBMJXu1k09jEqVYZxbb8RoBBsTUeJxVPJmM8LUEksUJCLGhOel6HqJpRfEkjiUfkdu/a57Ph4SA82+RTkIbT+HWEfU4ezl5ZOKQ+lo16yc9vlduqhq8EiJMIZVlo/0MFXobRA5dezvFdxXyUYvbwiosqk0c+hp9NMaDQWi5goBXnqs8YKFpEbYRBhkeN9WzTpCtFlpeRyC1UgAyEVC5UEBJFSeqPvUZbNvvdJUHKBoG/4EIfrgtqKHxu6x/xY4PTUDATgiaC+o2wMXtTs1q/R+0+1NDSybS4J0dR23MXmWOJYxE4FoF/2ggcNTdE+3WhhS7C6Vz/E3hayJZmhWWnSmM/mX1PoNQ/5Nen9J1K8kUL8W9kSBOa2hEkpNscG137h+miatp//JfSwx/RJIFs9OmZzuncyPam7TPtkCTxJD7EmbBFtKJGtJPGX+s0mBmFq6GTWq4bxngYhmho17JTdv6kE/GiU4y6mqVl2aGMAUTtA9bK4O91UyqdjprGL3UMS6GsID//s2eM1RGO3ftL/+N3T27dtadGZdjxyL47fLB9tGnb7Xc9XooJaXIx+vxFp+bmousUGOYDfZAQO2nA3PdWYwoxmHt07nBCj05crBp4llnSdRNH9cM6p+A5WFa+ZOWa6rpaJ+5zyjLLgDfxoj3oL6Jhxjybpv82TZu1ixVQKkJDxQAJTSj6GNrEHGj0NVJcuiIlQYOLiwrGDe+XI8tzakx1X8txPVGn/Mzqh1XG+SxsztxwoF4hYuKYYRNj5723GgvFKVuf4zrDRa1BaNeBBnpBf/nvAJEyPTAgs0S9Fk4TFq10FmqUcJQetmDPSNiNFpLBxI++M7Y8zn1n5Y495tW/GOk0ISK3FJOTH1FERIZMoO1e3Y/b02Z8Sgrz0JfLio3YDKTVEOgRd6kKVh/ftX2+IGDY5OEX52I1PbqC8KO0vu6lee/iHYvALi4o6NKpNa4N6hc8RQs0FUFLmDYVJJ1jjBWvJObsS51olR3DsGji6K/4JJ4GEdJQMVxqJA5iMPd9e5oB4DWbtrt4oIAM+OfeRRuZuI0UlZKjSTucZkkMOqGH4ry9Yi1Gf8UuA7x9z/5HX56rGZxN6K6Pt08MBBFLnY8Z2lc5X5q7dO1mHf0VQn3949PnAUpLJ5842ILQfQmUcRzp3t07F+TnKec9T72qo7+axR4vfj7EixW3wX2OM2IWTo8KqC8eBtuLby7B6K9ImN3KjzcvX7tJM4N69xApVy72EEIco3maMAwcNE6xgT262WfF8E7AKgwCy9AHeAicuFEeHfihzWQhGCKbjOK4IiQ0PX3GnGFDBjqJaWef6tKawPrPcZqiTRJuKmePKCX4kTFgtHoYy/AJD444/1CI0KEDFmwPPfL0hJPHdOncUTXq/kv/cg1evDp77kKI6dnvLi4U1o8dKcG8WxDwf+3Vl5595lQfB+l33l02M8kkZtoEO+R7Ay4DOh4o4ECLdxR5ex2SBDKqCV8D6CnfEMkZwDIpGUO6fU/o+Z3v3NI57Becx5tKn3nuVR+dy2FDFPOKYQxg0a0sF1Otf37Hk5tTnF9qTxwRxpMdZawMHlgfcUyhLHjwwaZ71BRlhao1xcupxgTX/ZAoZKR2DFEEJQ17CShmqC1CVumATeXEZE1Ss2+tChDLmmf5Uh9VIjWPlCI2qDX03SP6tMu2UhQ63UjA8e07d2HI7au3XJ8aVZwBJmqUk7fRpgCMELCNURKjoVnZOAXY2OTyUV0zf/6Stxe/P2bsCIeMJ85OO30iHr67686HcDeyo7/CL0yCZ51UlVlZhW0Kx48Z9enzznA4iQkIKlHbLiGUYMESRRIp0qDgEFzjOi/awOijgoLCQV8U8VZMo3FZq656+smXJ04eU1QYjIHh/n/DjZft3186Y+Z88/YPuTmrRuAjiFBC08xgMyfKDxzS70J9363yoXZq697/YOXyZR+pK4FD1ltQkDSNF0bTItprAcyRVxi9M2M8uba2qqIqv3VhUbtijAHnty7OLsqt2F1WcbAMrx8R0XjxOLToLIRShppXD5zseHoE9mZl8YpA481mpPmdpW7zxq2PPPzMTTeHZkJbRv/opH0i2n12XusCvHy8Bt+bKvH1uxZ2OdaUNoZwgowxLiCkTkmweYLIJqcIzhHbhJwsGNyF1rDiAGG9xiCcbGAQ9+Nq/AgOJuVQlTldL6mKbYbxwd58aK0BxJEfc6djCm+q2bsnNACMpttGVhQJjIBnda2w8nhtVS2eLdCWDnS8l7lVLiYcZ+Gp2NQzgD0oP6lm8QylWbqJ9aRgM0SaD22WghwLhCg0lPObsGzmAG6Wo4AXOC0yCeVkBSJcYJBC7iHKA/6DWiK0MAiu4RBC5M5qt4WK56gKZQvdMQmZ5VqEthWv2sowNqGNyuKIbBUem58OiTZHxvjqXG4OzGMYhz0CLVh/Xks87G4dU3gsAscicCwC/3QROHbRbcYqb8GbYyorpQ6PdEUeaf2pApRQ1ghj06rTRuAl2NLChATTEggtbEAq+KPJllR2hstsk2gB65sAmalopnLhmCTmbJRYgl+W6EvEb1Xs/jL9rbNOHtEBCzK3yvrqZed89ZcP7JdpAPzZrb9rfYtADXepCJP2ndSfd8oIzJAjJRZ7bs4SswgzxNlvJz/QKat/sU07ds95Z+W0k0eicxKvrR0zqA8WgMXAG3vSAIEd/2gEBDCj99NTRuflyirQIwauXr8NS/T5drUuyj9xQG/MQIBqDCZhhWT0ctKOBGvlVzWeTicyP+SRETpnm/ndreIoNmFAQvoh2HmjfUSUZoeGQdtz4NC2XXsxrIXpdmeOG7Zm47aKau2OAqLp8pl64iAMU0Ju176D+OBtuFyzGqo5BEozrFZiUzH+kYDKYBMmdj4ioZu6ianA6ONTjbEDpWUcFDZ4WpnqiyJSxEESHUsrkpt/LJJPwMEUQEQCadgDBvWJmdDGXhnlp3VgNP+KXV6JBbcpQ+vUa0gTQmGwV98hBwUGW0SoOKQpnNm4fQ9W7tU1wGFBl/Ztu3Qwizmzr1aMoW9qm5MFJIGx1ffqimcLqGL77n34oB+YXCoAOXaymy0/G69YRrCJZTbaSpMJRdt5pKx1wfI1cKysrF62blN+bjDkN7RPT32dNm3XRmJNCmFRkVSK6O9rZwCjHToXwA8MbHJkWhB4FDMVAXTYzjTLiWbijnwjvQkZGJfBUttKmb7gPSRcKNWqdVt2ainGZTF/d+de89yAEtVwGIPhYY7Zy/byvHcFhjUIEABi2syMBe9ddd4UUIb376Vkp0h1AgRuYYlyBdmycw9mAPtuAgnd97heYdQWPD27dBQEPUdUCHtGCYD9ju+mpEUffOTKEhMYtyaRRoqYsYmnu5ARfpCkHYkppjWQJhzC5WccNZyo5zv/Sitr2tXk5eDJnNzcavMOdpEFnH58d6WEWvRfWnIYNJRjO9cPm0zWnDcX/usXr8WqsyEmm9m9Z9/Cxagk255Ef+CRZQuOKJPGhyM7iMUkDQx4kGAEMbyBS4kOucm+9FD5//z2vp//6N8DHIi3avWdb325b9/e9z/8dF01hsQhLm1Emj7OevnQBRlzjbVpU3zLv35+4oT4V/+WlZX/9u4/KXLIcmkPapUiwzxZ0kKsNieYbxGNxxNW3GRMQtwhA4cQaQbCyorBJanncV2vuOzTU6ecjHm9YYgY7Pnd/z2I5WQpKNKc/tsqG5IAxj2AscEwWCu8e14HXk0jAz0OChHR8SGlq3dyN5Y6gBz/IBX0u8cjsIrAoMgAEN+4xwNLfOup2MDQE5wPKCXYwJeSkoh/YwBbl7AxGObWa/Q6aZtQEVMaPnhFyu0RwpyNyFm9TgSjlNkYbscIN7+90AWJWYKfWVgioGbG6/OmTB534omh1zk7KE0QQSxFg2iFbwhoqFLAhqOBRivCIB9yVEqGsvLK39794K//5/vt27d1aPiaNW3aqW3atEHRrt17cSsDmH7jECeoQ/SYY7sOrb/8lesmTxjrEOISIsUd/tEggjZhUeL4k2XBzkjxBKEbHKsUTLkR8xk6VcGThWcGsiRhJuOGLVsf/vPfbwov3Ywrz6233tDtuC6PPPocVorGGeD0Ep+nOTcdHMvLy7v4kmmXXXkRXiHs2JCoqKx85MGnWXNU7sKirRDaeV1GsHEqIoCGwX9wgUKy+ScUT8Pamn0HKw5VFrYpKGrXOq8gt3XXtvltC8v3HKw8VFFfA1PTix10KqNLWIWJRzBma+WwIapHdEzi6umrj5WXV858fd6EiaNHjByUiNMAJYszsPOKCtFKq8qrMAbs+NNzybFLQsIeJpkc0BIL4QwqBQ0GEWSliG+qN8UVRhGVDXs+gAqSd5GR6Ia1QU2UAZGmNkyUGklkE70kI0FXhA0X8gP7+YYet+GO1rYt35Mhm7ETzbAWrR7P/GDZ57ycCviFlwHnYTWIrKrq+ooa3g/Y/FNtJhAeiwRJyapMCBoKbUhiLKnGDlyIeFabTYisI0sgn7WYMDyngjNVCNpUIUC+kGBQBwYCPI6BCUX0dIHPMQjZCRKetooa8FA0xOxxUjIME6gwKVfsEqECATNFccDC5xXRpHiQBHVNIBj1LakiuXVHQOsRUJnc/+YriWpFzYd+1CH9g9biURfnYwYdi8DRE4F/sotchoE/uq+Nh70OD7vCDKvtaBdr8ThCQbpNt8VtOWyVEXgC34PMYdN/GBVl6l16ch5Xuq2oab57CpsGlES6pbwQu3Vnfu6qAZt37n3ytbduuOjUvNwcjG1cOW3SfX9/XSaS4ke19lCQHxt+snPATnNKkp/57HXEr/2sVv2Ow1tX2beAl1++Mv99zALgkJn80oeQalU5wYs9Pf2t08cM0/WQ+/XsuuCDj2p0yE1/g/PMADt77T7csGXLrr36Vle8O/aRF+dyOh67fbiBcfzwAQU6phKLzVqyohqvyDWlVG/YbKeEERNZGVCjHvshrwU24HJ9Yr3QS6kfdBq4zhu/o2PGomVwJDuv1Wljhv3pmVl19VWihKLgh+gZ44fpCsNYlXdQr+5aCpWiHWrVUhL0qijajP0GSljI4Ww2g8GxcSP6uSBg3ifmDJgRSlNBNF7coDUCYyHZEcwRLDUDZYovTMpISZSK+1LMFBImDCE0ccNDU1RKwbxundrrICuH9DBILxjsucMmMQI3rYSxqszEXCOhe2O2PVA5/h9+ae7DLxkaQDCd9+5/v7GogENRUKJDwAybYScZCukTUUHPevfDjc+/saSgIG/zjj2cNik+Y68yp/IdwBx/wWMKW3fv4/La+COaGIwUgLgX40lVkqZs02Eu1bZ11/7bf/u4cgAbqv/tugvPHD8CS08zqxPYRTO1kw87uiDKJD5C0CWgIb5974Gpo4ecgLnzbUq27tr78ZYdy9ds3nOgVJxSzwgDcWyCEwQEWRNxcyBPc22FUjVA27Zrv1GPjNgBszq14+tysWHwFSvAq3lio7oNI2l8t05mjANzrD5cv1WlVRB7cCxft1mzcB+rImKZaBc10NVfMBYVmLfpbZN1FuIVJM4AAEAASURBVIEjQ7CBXZ2tPWi3xA10aAr1S7wHn505tN/xSK5ctwlcGkrlwJT3wSccp+kN23ai1IDYI4rMxURck3OUKYCExicUwuyBQcXmECqyHHgNMD7Fea1yC/KqSzlSSHZ4SCddP6vi+ADqEdCNnaEym0ExP9JQ0AVfUV4x763Fp5860ZaHjtO5UnEtbhI+Is3H5pOUInsCy5NAyMnIEN+HCn2mu5hRlLqSINJWcertpR/8/blXP3PROR4Sx4CvuPSisaNH/vGhJxcsepcnuLUcOrDBfnzwxMGpk0/Ga4Pbtw+ttKxQ9973yK5deyioJuOAznVcScQBtE2ay8E4bBzNYh6FYjwP3gb1uJuCGX9iPkHBjNEpzGVsU1zUu9dxI4YNGD508MiRQ3K9R0IcBsZ9//L0c2vWfAwKBBWEw79YTwMX/1osQEuLYAPvxBhdg0pGj3vzegCHJSWOSJsZHrWHdnEWMZ2RBiMeeaJI0hsplDLoFHEtoGkIhlxRA1EZ/w6DEAXjFyAqm2mixJXBPwklo4oYWXxwatKIEJHBcCAkmKxVbmWlKLQjh0F0B9HqcVkUY6RXQgq4cZfAWcvmikftOEnXQgorGBQBD/vc+4dH//t/vue/y9ZHs+xs0/CIX67qYhhbY1uVxqPMCC7bYKyeetnk6rbv2P2bO+//wfe/pl/IlA1PD0yeNHbosP4PPPQ3vK77UBmGh7ipMeok0hjJO3n8qK/d8vlOndorQ7I9owjTtNgckvE2QNczCFOnAYNzEHFDg8WRbktliS7PzVisqqr6+RdmTZw4evjw0IAlXox67dUXn3Lyiffc+8TSd5bpdyCNGPYARBizs1r16t3jlls/P3hw/zjLaqprpr86Z+3ajU514KNUKG88uA2Dqr7DMvrOedVxUMgHJ5Qtq62rqttTW11eXVhSWNK5TT5eDJybU1BWVbbnYEVpmXw3CoWSGfwTWw+8MTFM3uZyLuEKQaHLBEBc63ga2+se7cVHWqMKYmHtB//45E9+8e0Cezt0OKkTDGpudl5RLtphDQaAK6vZRm1AEq1KimZNSsYQB6XsdIIXGPO4QMDDq5y5UThAGIXLogRT6k0KIAIQPBzA1sbg4koX3lAsW5iuAmHORuQIhvDjZJaWb+KlqpBhwuqDf1WV7ucEdeA87dCpgxjOrNm4lpCsRgNXSAJ4dk5BDuqlUl4ALC3BMtuj9dZotuTQUc0JSDRMaM5CKrQZ8imalQgXBmWa8uXiJS2qcPIWJC2WwQpLiSZl0jPTqgabhFbZJUkG1SxWS5JX0ASzDYbhDWkEzRig4lRDdndnMrI+kxMxZcGBre7wb9avw6s5iFyGeo9IrDK09ZMtdnRFuskN55NdGcesPxaBf7YIHJk7VNIoH2XmJLXzaCvI5D6Seawzlzza4tbM9hwLTGRA/9nCkq6/6fJFBrUpRCjO5IrRFJXpyDYiHo1gjdTcVPlI0Ehi/XNzl0wY0X94v17ofbrkjPFzli7/YM1mdiOwCkJ2IBPXDwAWENnZE6vr0aUDu1BisaWr1pdWVOhQMXoj0XdhflqzmyawYc2WnZhX179nN85x6oKuDP5yBqd0HrNPgmCU5HH2khUYQcFb07Dv1b3jyo+3SjeOCsQmjRqgg3NY8XXZms3VtXzvMH71izajUkZSkKaFwSb9AKLX0OIclO5zWsReB9okbH6CBKNi7rsrrz5vEqYktm9TPGZIH9iMlf9YCP76rN49Og/s1UOHP2cs/KAvVmmWDRrRW4+PNZhUajAKJabKKpoYT3+L1WNQ+cxxw2+65EydWYhllue9u8oEgX0fNF5MxI5d5+wGtTYDWDrrtQsZDOTnRo2yk4QGQGLIfHhzbCSrIEHch0n+ffnyaW6kbcmqj6vqMEWaBbBG9MIsibN4jwCw6jUQhEKGO/I2vBlQZaSw/hvHxEZAsWKhHxub8N6Dpb9/erqoNAq0sKgg9/JzJl4w+SQdvJ+x8P2Dh8oESXGIIBFW4ymrFKk5bb9pG26kTRzdQQ2SGU3swGX9mDqCamRoP2pHDIn16NROh1dB/d13bsTYp4rrvryy6v5nZj45fT7mgxBKqEEVSEtRQAm22B9EPUj5mBmkv3bH/V07coht1YYtagPSLnHG2GGKuWHbLowBi8esQjpIi9R5zNw1A8CYT1/F2a2eecK+aftuxcEezBu37/L8lUaBJpeV9cysheu37cLkvb0H8BpEsECBk4udOPCEDna1xY82bpMSxj/goH2sgmdmL3529iLWhikjFJKjB/f59xsu0dMTY9V4JbCUm0o0SOIX6AolcTcoiQPABteURx/Ig3aJ5RAwDxirQHKiG2j4+HGCeZaCpLXbIGphHJGowglwpKiDeyFm1c94fU6yAeBXXpuNKIk2g6+q47XaQiDqpctg8+ol/wyY3FhQgJaALHv/ASNnIOMX++0f/pybl3vBtNMtmDn279v7Z//5rT179782882Vq9fu3rP34MFD2a1imC7ZtVPHUSOHTp44LnL8A1r+cN/DM2e9aYDUDd3TUDqBnFwyaBUuqGIPLzIgcxfeYMnMFx8O0xqRq6iofODBJ15+eaZTrMGUYWwuK8EVDGTIjLox7oPRNbRqJmmPeZLLKsRI4fBhA6e/8JAlNPqIRTkw//uO/77Hl2QIeI3Hhp0MiPNeKsFImAFsbHgxQxswdPfsizPu/v3DjL5EGzseJW2s0voymfgDGF05ZZmnMP9lLy1dMqA7ViHYHUdzMD6NOXcQAxeOZtCFjVQwhZVQWHd3847HHn3mxhsvt+IJR9YXiTiy8WPgR5f2jhsDhjV1WbXCypBX189f8O6vfn3fbV+7MfToQFasQ/t237j1hi998Yp585csWPTejp27MC8fSyW0a9Maq4ufNGrIyeNHHtfDrGMgCpPueNolLUy7QE8ccRMeYpaz+Mro0l+cTqxOnvAMg6jk4i4SzLLyip/94p6f/PgbfU7o6evDd6xBA/v+6pff2blz78zZ81esXLN39/6DB0txarRt0xrn3bhTRuGhCjxm4UshjTgsXbrsofv/QjotCW1sDmICqwRfbKUhS3MmW9wJhYvt+PEjp0/PsDEDsLKyauaMeb/9zQNEd80PFrDpeBRJS7lJhQ8469mQ8cGLpNFKTKVJNIGkUChHCleM9es3Pf3Ei1dff3EYJEmOIBTFgsOFmI2a1armUFV1JVeiAZxUWhLBppFZC3SI6vUg3hDUVIqet5GVcvLI6a83rVJem/eb/7lfPKByjaCemzaYUtjQDiLyM0X5DBQbOJxROA8B9Kqq0AAwzuu+/Xt7LEyiXaIS8b0Or5nB8145+dk5eC9KQUFWbnYN1gQCspgY2CnXNweCcgmqI2hCbIOkKZb2Z5qR41doCxwA8YuUaWQgUh3LzKaQ4i7uEnRcKPLEAk8/uY7LRY0CLKa8ACBlgOSOaxyzbDwGm+AG2YBXrKHNgoGgJ3BSyiMalYIlaUPggTh289OgOVsVzJQ6x0QqEEFKfbRoLXMMFLYMfguifoJNb4motGA40LBbED2DYBxd1mTgwDGRYxE4FoFPZATMzb5FbG9J7BYx+GgGPcI3iSNdl0daf0s1jbSqtdHOQyAt4KZ71WjTmq4yGgH+JtiSQIDoYYpLtJFpUT2rvWRaog0xReA1Ih6NYA0MiVAZFDYhZXGjjKrPwvDKbx5/+dffuL5NcQEmGn7tyvNv++UDB8sr5Je7NxDCzgUZgXKWAJcdd+zPxbSK7p3a6QAwRmGl8xk/Y9krxh+z/IFNK/CbF3+mBysLk//29TuuK8iYfIzRF+0BALf2EFMP8bl/Y8mqK86ZqD12k0YN+mjjdnTWaTMuLsjHCI0ukzv77RXoiBZVVCcJHgEhfQehCKCf8Ndfv1q6RZyESKlELLZzz4H/uv+Zg4fKLUFMsRnvaGDLK2rmvbv63AmjMK0ZC2vPe2cVBnvEfzKAkitTSFes27xx+27VSxCgysf+6vdtYD+Hb/T5E088ZXg/5QQfuzRLitu3LnKLg67fuvOn9/2tFNN7LBzAGXHZ85QGpIcqQbhWJmsnDcJP//T3A4fKTK15bkcmMfp4qLyIVQ8L6usx2aZNSUHvbp2nTRg1rP/xukQzxuEWvPsh1nFk5boNaZqneWco60022m2SoQMhQjCa8UkaYBqElAkesMgSgCp4sMdLhW+5bBqG7fF0gi7cDXasW37X4y9X6hqHCKurCYUz/tBm/YgG7KJNZ0HEpjZol7JJWy4ZwoFS/hm32T7EWdvRm9WX55TZ4kZ/QS3Mz/vyZdPGDu33jV89CElPAZuFtBU1XiPPsAsPd0G0LH7Gx6279m2R6bZqvIdTf/Fp40YP6auUxcvWwEgNs1DEb3YwI1fvprxj4XrwBFcQlaiv33/wkEPOz9cOfwmWoQqKoC9duRb+qYPqsLLgkYXbv3CJpvFu4PdWf8xwA0Ng1DA1RkfXQJZw8Xjh1LHnTRrds2vHLh3MQDXOo+/d9diWHZxEqjCKrHtxwRawcZmO9GAA2KL7UkbW6E0oqaiqrarGADCmAuE1mtIdK6bTV3bjyoFSiCksl3/BQkrYxR0PFnm90As3JpXxA2ZcjCD33gcrMKjUuVPoFbwoWPnh2nUbNkGZSBFO2JloaKMh4FF8y8xIIECIkHgjHHJeAJaU+vr/vvM+TBO8ODwPWMU7tG972SXnW6iGj7g+/u73D7z2+pwQK6MnTcYGlfdCUQ42ScgJJRQ623wbBq3vvOu+RYveIWTgP+sSM4Ax+FSDiyvmJGqR6LWxEcOkbTWfOUTC8G2vXpzhzpjww4pm/VgDUUR7GCGpMjGIks23QRc2NkWJvo6jiDHp6RB5GEeb9bRQilQydy6eSLi0xSavPQs4RxmrGYsE6WynAJAdjkQnc3V19cucxjomcSqqooJLrwGQJDyW0cbXHhkDJhiBGWQm5AgiclCLN/6+Ov3NAwfLvvudmxNnGBcXFZ595iR8CNrQhpH1l1+Z/c7b73/vh7f5vGKRT2hkOj6A8IfzVPEoB1JYuBjDYxiT4VdIlqiPdBgpIcDTuq3bdn3nu3f85P99fcCAE+LUIxRdunS4/HMXxNGTZfGFbO1H6379qz/UyHNpygYf5QOFjLA1hIViB2nqR+hkS6ajMXR8iezZqwck1AZ6rRkmYIiSUyJSgHx8KIH2I8F2iQDzDyBE4bUcH93KyypeeXn2+FNOHDCojyFFHtRnW4RmianMUFBZXlFXWaNg2j5FO/mQULoVyuTIUUELxbsOXnnLhQfoGusDjZ9nBypFKHIuiESz7VylsGVClQbOq4zG+gh+hdLwECkKAq2rorwS68a75crxToc+fY/HPR1L/Tj32CaxjhIe/sSvI9qGEykrJ68VZmRX1tRWcmVuoodrz0l7CcpqEA3RioTELRE8EnQF9uSQBBIJwup2Kkhr5WJFB5SFBfDVlkvWRETSNF8LaZekQncYEINrBW3FFvAb56WlSJqlthjHELiRtcWSxY7ucNOalyR3JIq4UeoKTGE8jIhEEIVud5RtsS1QHmVyi6l1wE3QGpju0BpONEFfw+DNxpGJlRmFI22LWxY9bTMM49FlTWOtP8Z/LALHInAsAs0XgU/C9fDw2nh4tfk1eeQ0+1Y0Y7rFHWqEgkawNmMEWgIq5Eko0xLaMsZsDssyxUhPLj2ujAOQKHgYFTa3KvMLnL93Q9D8sV1ft2bjjqdem3/N+VOwEDReq/nZs09++Pm51bU1+Pke/EAWWYorgP5SQU5+n7cuKuLophD3l5ajj4mM/HALtCKNbhkJLQ6YqwpGrFzYo0t79KWQLmWCipT0HQg+RkzXbNo2rO/xGLDEKtAPvziXsOCuj50yrL8bB5q5eFlVjbz6jSWCZapR0Ji2P+CF7g+VGUbvMKBXd7x/9GAZxsLZTyHd+wTQzg4krAZVBK661xZ8cOb44egmOnlE/zYlReV4lSz6fvFOrpzs08divWt09sReW/A+umepR+QohnhJyMRKhshagYnYMu5h85hbjI/NRRwXfvDRzr37LFjAICEFLHut0OfkB6fvcV0CvoQUgtCxbbHMedU1PgWAlnuBYF1wQ+38/vYvaDrZHs8H/Medj2GOOKNq5JRXvDdisJOxkhjBYHxQ6jMYPuXxYQgLVmuSpFEJbJGkcScMAhqHEgQ+FjuhR5dJeGdz+H2mS1asK6vAa4wJxD+rBUdPVoOsZmMfsTlBV2b6El3euUBjudFuu6kXqpynjfzbysUAsJlcDqnS8oo331m1bO0mPNsxelCfyScNFjCsmt7/oqmjn5292IDQTAJpqez9LOjWDo+jJZJXTZt802fPUmQM6/7pmdejtCAQDBhONC3VE4q1wDiZDQmMANpcTB6/cIVKRta4TNkgCIate6f2d3z92uO7dlLuh56bhanGViKISCCrV0OpHqBdMGXMieGO9OVYnH33XmeSTQRWccRMxnC4s5qCAWAr0IhjVW1dGcaAa7GELMYGs9E1jCstlMB8mGgusTjbmJYQkGqCwmNgW6CUgwZiHRKyGVlS6+sxTfaySz8VcEvqlelvEFf/WXkGIY4tLkv9EJF/pLgQMVSRyjZvHjLRE9pK0l6xGbv//f2D6zdu+eL1lxUXF9nyRh937Nh1zx/+/PYSvqqam6iWCEpaggZjaBZvEfTLbmwYSPskW5ThsbKy8rXX5jz9txf3aDMST6Hd2YMHqbJzs2ux4ifGeVitvnKeNrQndBPM0JJ4MdFDbVz3WEdH1PGQBSi1MWJdNvOmrQqg0kYw2MUk1EhWyNEKxXYWiQDPBTkPjS8qziqmd8KLnRzj4EgTJkQAasErNzFpFPSWs3j1igUNoOKtt5jYd+89j/zsF99NnJDqgQOU6jGzW1+lDEUcH2XL55WQ2JrW6wdV4f3ftfPeWvLvt//y67feGDdH1kNuIInR3+dfmPHAH//SuqS4rLy8qLCwAYF0imluaIM7iJWGCd8hpPWASfxiXfA8EiE6iU2ujcbhHTv2/Nvtd3zrGzdOmjgmBNqYDB4bnDVz/h/+75HKcr5ehPbIHmljjmblrhMAwwRjo5oXlDRLiqDykeYkjViWcgY4GoR+rJkRCuEFPuDjF1AmlIeBNnaHGiTaKjkOciHoJ374k2/hJbIqENpL/AMK2iQmmxbmZ+fn4Fss1n+uranBNQcPn2DPehP9vNzLxqyQAoT0UqoWspqAO/ZLlmk3zj1w2HMU6uPMTU9ZQ1wwA8GHg2KD0WZdRImNdBo4sE/qEVcCGs4rBgOUuNVjIZQD+w52sAuzw+3i1kWjx49cNE8eA1IJcRiNua6mFtOy84rysvNzcdesruMqILh4wEiwWA2h4NiM3rJszhjiRCgsDgqD5cLRYkJAk6bMz3g8xEVWcXm9FUXc62VWsuTRi5vN8kgxChoFfhEvDFFkIQbg9mSVy4jAEZaTkM1lJsCMRPOdhTF0AnyGFaDIhzbmrZqEghCBmUjOBK7mIBg7o31sDgUth2FMbzkFRwgZdZGJa5nIpO9hy6Knb8cxzmMROBaBYxE4EhFoyZtkptiZyh3m+GVy+8jctUy0NWNAMje8eYxIrj95STLNRziUIbPSsqXxLrqv7SFlLZAJTEvLkxawwEAGhoR0JCGHeA5bJr0QeVwtYH0TIDMVtXL22IzxdrFCIg5eiuofe/nNiaMG6hrFV58/GYNGH63falZvVDv4a1k+Dgt0/GJmPyb6MHxU5UTviBNhPxk5IMtuPoFg2mARW5mZEDaVEFZ2cWbVY3bvoN49sAp07+6dsRD06g1b6jjXt37SSYN0/WeMEK/fusvNDBZ9ZCAG9ACZpnIvOtLaSfcDpPgbnzD6MWk1PkAD2/sffYxpzXjlam52zuljh2JYHbPvIDhuaF+81hRu4C2ks99eXl3Dh/GDjV2ciIH80VRiGrMDprRSnzt7Agb5br/zUYw0EVKjIEGg6/rB8oWGnhamgqi3iiDmEU0Tckx3d/cTL6/fvhMD3hBwsSOUwClFsogbuiSlw8powsFJhNRpuU+yLYs0lFoGBpko7GXSpAoRlpUbcCLNOkG3m7Yu5bv1yvNGD+nz03ufwsAqKcRVk7AHIvOo5a6d2mHKJRIGkmTiA5Dz4+06jKTajXUvGy2XpFdHzCOrHzEf7NImyUoJ/agg5lsrFAYbv3v347oMMlT/dcYCnOM//NLnsEo5GL5y+Xkvz3uHr8WlQqNWsOiHWqPQjBRTooaH8KasYVoGuQ5tim+76gK8sVhl8Sbyn973lDf/Pg4SDqFr0xDdEs2BLXoSyVvJlYkjCxEbAwgsDYBcarR5YMr+yG9ce1HbEjN0uHjZRw+/MDsCQEgKQCxkqdrowpmO9mOiF4udMnLg/T/66m2//NM7q9YlgZKGIPF35oY64lkZFj0MAa0RGxpbWVVNaUVNcW6rvPy8CjzPIr7aaPA8gBgbKzZruFY36QmQEIRDIkIgDMqipQuayMdiM2bOjRsAxvj8zDfm84TAgIqMqQisYus+QY0loJgOyz9SOgYMotycYDxLUX9M+AGw6b89N3323IVfuemas06baCHTPWLG1TPPvvLEX56Ne/8io6WNRGqCwzN0gm2AB4Fnym7gpudN2OAf5lUvWvTuM8+8vGP7LuqxDgqqsQcD/Bjk55UHHOjuh124zglnYIDY3DRzojxRexgCVrO+sJZWCK9pYxIGpTS/AdJWoRfnsKqAZt5AaA61icYUahkhCBr75ZJAJPgiZqskh3AFKwUQmwekMNKLQVqql9YpYrAOgjhZRAu0tcKjX+s/3vL0Uy9cedVnBDp+R6vATTmeuPRPXZELQS2LQOLdQJIhcXwZev+D1f96y/cv/tS0q6++qKQ41bNjIUmcX3V1q1eve+BPTyxf/iGQ8cLpZR+sHjduVBxbo7OubsKS1k1SETKMh/GyLJ4yinSeTjIMulkcUPfu3f/D/7xz/MknfvnmK3oe191ypHWE+K4dux977NnXX52r1S9iqECeN6w9VJLqSmjMTgF4nF2O2OSE6DbWSL3TfZqiF1LVSPsklcwASrDZuE1dU5d4NWa06Sc2QmEEd82aDc/+7dXPXp7WGgl4+29B6wJg1FRU1lXjoVHeDqCMTz5KwgKLmUJhnPn1r4HNmChnJVkBJNcyBaRH+GezgDopIIti8oB/nhMtsNEAjsRDt+qhadBkgmy9TqGZ7Gh5tFegzJvCUU1qOcsFxmHUo142bdzmBoBRUFxSdPHnzluy4D2+JMMEC086xurxco+6erxbOqcoH0tAV9dnVdTUV5FFQuLi6bD9hOq3cFpiLjiScZUCFpeWhO4ojxQOkHIMSrQlIqgnmEDLTwHDK88qIA10iBONm61exRWK0rG3PEIQaE2JNibVHJsSbIm6FLkLCi+gVEo+txmjXF4Sch0QB2kYxfyqIkAYxGaNiM2Cz4MPRDxiWG+z5w6fpmjTA5+jy1NTM5LOSCi1HUdDacvWZMuiZxy/f9C6zDgexwSPReAfIQJH6eXm6AvtUX8BzLAmIZahaxkqPPqq9shbdJSFsmXMybylNbaCjP0hN0KZxgJmyp/hmZWRuowcTFvIY2xupzxo63gEyRY117G5vfDscj/W49xAVj9YIezXD7/wP9+4rhhrnubk3nbV+d/474fKq6rZSyEbDuhV4NiVbLTV/OzF7+GsfaUVMmOYV+62nG3VCnLuQyoyws8uPP2Lxbp2aKudRVt37pVuHBbIj339KS4BgUI5znln1Q0XnYo5ytA86cSBazdvx2yD4sJ8vF9TFxaetXh5dbUuuQynjJ1gll/1AqHYQUns1jsePMQpH3Z+KMXwJxzSpYOZx1zMGNL8nY8ywcHOA5F4cAcX8KbFGYs+uO6CqbDz7FNG4WWflXgHZ33snFO4LjR4sEb0gUMyQ9qDABjxRDe0aKCQk1gxT3TZ5r23+pGX5lZiXiPntNJu9Pi3Kyka0Lvb+ZNP6tm5I/ryMG3xW9df9PU7HiircG8NI4ICsYsJb0rDniq5fe2OBzGrFYDAY/eRVjkX0zPbxh17pDePdqiQTbBGLYxh3rxzj2kkEkaUYrixS4c2Ek7y/OCmS3/w+9q5S1fiZWXMizx2EmCqEBq6xTSJHBJ+WjiCndZWfN6nAtz/KKuodVKqwimiuvc+2njhbXcg0bakEKuOX3fBlM7t6cWUEwefP3XsX2e8pY3NNAmDRFRMtP2vr14ZN3VYyzE9/dJv/68ZPDYi8QdYLqcBKsIV0R6Q0cBA1D0p5GCRDRGsowt3/eWVx16ZV1yYt2bTDjRvxRHB2Nylqx58drZOsS0pKsCTCis/3iIIgJeTVNCA7OpLSs0umh7Y6fM2Lo0VwrHgdutiM8GsrLzyP+5+dBHXf8YGW7RRxmNiqouSuOY5K1mjQRqNqufrsZUBe67Hzi3gCYvwhBOG+k7t2vzb5z89+SQzFA3i7LeXfe+uR6trahkk1g/h5YIgEkl2N//kHpiOt/X169n1hk+fMXX0UDDi+vrjr1z5ma//3Ou2TZR3vjARGgAGr1jquxF2PYwGvvLq2oMV1W0KCnQAmJJsYmws7ELX5sb1ZRlpUMnA9kBf8bdv//4OHdo51L37DmCaqciRx0qRXYG3bt2+fMXqoUMGOpG3Fi4tO3QIry+FYruJFhUQvn37Djh+JPbt2++yqsxcDWUMmHVAJ2g8r4O0lx/ZtMGbDA6A+ukv7/7r31868/RJUyeNS1yeOmC1qQ0bNr85b9Hs2fO2bdtpafFHaOcH4arPwluE2RrwoV1iiiZ0jzhrdOIxovOY5otFng/gc+AAwrJixer33l+xZct2RSakddWXR1Vgmn92Xk4rzMqLcRFi1hJstDaEmaOoPkdGaWlBjAG0c9AJp6c2Is8IlMoplMSyjPRCCFeI/fsPIM6sB1MNMlRGm9jsHDA5w43NFQX2Y3iHG6VARCSBTBxmuUFNVWW1PykW3Pv2H0QpmNEmeaPlGDAaBXjNxtMF72IloKAJFh4See7Z6aecMgZrulrG0BFcMETuiECiDE86Wf2WRVAiWdB5KvAvtMHOJ5964fVZ8845c/LkKWMHDuhD3ck3LEy9es36116bO2v6HHlPA7mxqux77yxv0gBwnFmRBsAyjiDCX86v5Joj4jB9tJFntUBWPbCYtXW1b81/e+k7H5xz1qQpk8ePGjk49PLjKF34mrJ+3Ybnn3t99sx5NRgfU02OUwJOQ+TkVW0olOi6nHIzmzqkDrURCTSfnOyCkoJKnVYrbcBe99ggzVM4LhL1sYqqKqzhXFhUoFrwIpYDB0r1LATFXoLCDZKGM+Byn2QrA2dZWfmLz80YO35k7z6hlyvHGY/YQxADwHklhRhyrDxYjsWH5QR0uigBROhQ7eZMUDVxcF7W1ipJSPvhZpzltIRq/kmxz+/BQK+fa560QmJPj6xxyAY+Wj2JytHkDsglgvesYKUEXinFLeDRZPyTIn8SACBmlR2qeP3VOSO9LyV470u347r0HdB7NV5focokEDxBsFJAdk5Ofl5OXnZlLAurR+NnCKEb3sJMDLaTsd4KwZETrjdoRcrJIVyeP7qjlBOySSk1xguseTSAgmAOvoeqFuKKgchaLJcgu6hjGAmGnYopsgjU4daopcwGDZGCRFfWYG+1GIpmweV+HoFCoogrRiAcCJFFZb1SNdYjBMkE3qCoWVPGX3NoVuiGwQ6Xk54lR8ZRz4CWSf6DupU6WGg+/5R+p47KsdJjEfgER+AI3BOOeLT+GX0+4kFvZgOkDo9oRTaz8pa9tTazsaYyWwa1OVtKy0Y1U0sT4pZAyBQ5A7lMQnQk7Y10sfEGeRJeMhK8hYjL123+++xFl501MTc3e0T/Xp8+Y+zTry0If8WGZWqcdMbTDvn1LVW2ZefediXF6BXp2rGtTOBQZvzalh/h6BTQHnyzJ3C3Tm3ZnxOLbdq5G0tWEs7gixbd2d/oO/cd/GDtprFD+mLIc9KogY++PK8+VjNhxMB8vBkYPa519TMXL8eQsEFQM4Eo4sxJgtpsPwhE1m3diSmGsjqwLhEMaXokDlEAf4EIZe3HAuLobeh/qJ+x6P2rpk3CAPDA3t37HNdl+dpNGNbCitA5nBIUm/7We5gOJ0qMHNIczKVamsl/u/lppa3dvAPvP8YAsEhBzAzYzn9/1ZPT5//8q1efNITD4cP79Rrar+eSlR/XYZY0jWbHiDgi/Sp0z/SCSBB2lB4qV0A1hUHwulU0ECYq1rbII9D+9Wd/wgi3eiRuAai+pDD/6nMnX3HuZIQFk9SuuWAqlqour6xiZdEYu8FEtBaEnAOdsmmp2eOQGJIEEoVDsMjIx2gxLcT6A0TpsErAoTKq23vw0PNz3l66at1v/+3z7VtjGnfs/7f3JWCyXNV5s29vf0/7AhICBMgyCBBLEDaYzTJLiGyDgdgfgdjBJDafTeI4IYmNHS/EcYzjlQRj4y3YYIMxiEWAzCohkJEQ2nee9re/N1tPz5L//8+5t24t3V3dMz0zwlPvTdW5Z/nPcm9Vd9XtqnrV85/+sc9/vYnbXbh4SMJhoJodk6TlKq2uK7F31FPYqCysetAzFxxdKheakJCGpkrmMRjW4eMnDp+YFp5AFCE0ZbPygU99+U2vfqHd1nzumafecs/9sqIzDhHi2qA3MNVAwVm7Yk1P5SULKaPKWgMDuDP+7f/yFc+58AlReP1t9+LeX7wkGBxFFCVFAjOyxooPgS9opHw8ElUVTlVyoTPxATy3+ek//bqXx6lo7Gu/+1ef+NAVV8WOTu3r0BgnN99938+9+0/f8eYffOX3XgyTU/ftxmTw5772LZRbFxLhNiuShWHI1ifFCeA6XqMOsPEUgtkG5q4HR0ZHcYDWMYOFBW3da8pQsKvqMMF/Cwkj6G1v/wUONP7cBMMDK173Z9dwdHEjK5lwT6Po59/xKyAQPYaTrPy2MDMTvpkTyJb/9e4//L33vH9q1w7YzBw7MTczR42wgNJI12iHK10iB4cFkoi+pG4V1eVjGhsEoG674+7b77j7Pe/986c86QlP++4L9u3bvXcP/+/etROzF0eOHjt65Njho0cPHTz89Wuvv//+h5IeCUFoGyIhNP7x7kD82klX1y2ezGtqtzLwkpf/KBghJ4exGhoUWIiTARPZNyLY6BgPLIdG0MV81TNmIDHdjqd+V1vhpvDp2ZdcynjoLF3MceAhHEAwKhac6/AvsWGXq99VBXy+Y/YCDB5O5N8OVOBpbGSGszOzL770x6wdHLrUmliba9YZf/RfDADdbv8AjoGNINkLSio1l6EZD8zPN37pnb+VxSEK5tAhuh4sgGYWbcyd/qUkX8eOn3j9a/9tpmYmCJJ14NC0inH8c7IIe7oiCrO/aHpUAyuzM3M/87ZfEHj1CppwhNiIq7+VIWzxizPtF5IqEqjoEB5g3MXgwJFDR//qrz+GmeDTTjnp2c99+umnnYxfdezbu2vX7l0YJocPHzt85NiRI0fvuvf+2++7b+74zPGDR5fxNg2LfWCAs9R/dwX+B+BOW6sL3GMxupOF5chuhlssnCvXnoVDFtPiwYoSHbUKkPSDp143Fj7+8Ssvv/zzu3ZMXfysp573uMfu2bNjz57de/bswsOr5+fnT5yYxk8rDhw4fMuNt9980+1HDodfmVicipBhcBiwga2OdepRuLfqSy23wutMHjr4khf7YJYoF6BGLtkG6GtxTUT/tMDgGxqdmthxyq7R8VHM4e0+c9/s4ZmZY9NLTbzX217sSpzwDAaL24JdefCBR37ksrdSHBZCYi9cWeHRX/fmwgADkfsm/Zkcu2kWikWCw+DbfvK/Sk6IgJffwmh4eAyfseMjCzMLjel5RAgetIFrazNGvgjRRJLz/vLbb7371S99Ux7RDQtMAzFMHFuQC4+66A4mx7X2d1+ltnhYwkteFDoFeumCmNAUk91BKK25q5KGkH9YzFCO+HmjqV/bmakhJaxkxzV5Mofmww8d+BcvfTNBbEl2TerEA4WGPEaXwQkNwByGEa250Pj8Z67C/wDlW7dRi8Hhj2cFjGsYHwfjI/OLA3gNxBI/t02sbZGOTCNsPzMYM0RogfCKFEwSQ1MtOIzWwY7pGhRETF4aUQ2EeNzymOdNs5YtLUzLmFxH8zRe4XAlqVpSFapZMLkgqESLzNC3CVziFxitljJ8K81/Ovw25epUhKSnO6lm8p6MMvP1o1ZRmP4FuemCetR0Z//6ZAt5qwJbFehXBdblANP9YXVdwupXTfuF+0+8KN2PorYdsZmq2bdY+gZcKq33zvo5LEXgjI2PoFVkXQWYpJGQHaBXI+7OyxrvjKsJ3M+SI0Q5ETv3Jv9PPvr551z4xMedcQoue73pVS/86vV8+J9b8uqbzVOCAROcMcPEzoapc/8jh590zpm4lHTRkx67fWJifl7TnOaNijSgtl9OHjjvzFPPPHmfPZf1vkeOBGk4Dcf1PjnGmv/l6gv/ePPTnngOJoDx7t6zTt17570PXnLR+Xq1J+7XvPfAkWMrnO9MF1530uUYQxOkhWRaTIoFyv1XS9d7mD0UaIY/GuJPIO6ErHSBuwceOfKtO/c/QxPVL3nuU2/79oPf96wLJ8bGYId3Hl97y128bTHFMGC/OMHCGiMSLs/ceLisPy+QaotryPON9/ztp3/7P7x5amIMuuecfsp1t96zpJgFFe1DCjF2I7D2aggT6kEBbAsGjIQQoAcbwWElFKJliJhl/8O/ueLs00/6nouegu57yrln4fZT3nZcXOQhMsvgUeQE9Au1lMBiCMqDeBumXTVnSiyX1rgCRzp2xVkn7x0bxXush9BN83bvO1OwRAbuf/jQRz73NUxdYw77rFP3jeh2RuJIQ2uFuzJw4Ojxex88sGNKN7NGdGngpmFcimOX+WIElcTj9X0uYIdrg2r7inMx7tE4ngsy0dVC5iIswmhfk1oao67k44b7s0/je23PPQOvf4ZuGg8ByGFAKBA73FjiV62idZWwPe/J5575rp96fZxtxTh570c+9+Erv4Yr1nnDGGRGIMHj07OmdvrJezBdgMOTWwXirNP2RRxMKoJukwsu3v6XH/+hH7jk6dHkqm/e+r/+/O/tGdqBaQAeBusunyCQxcm7d8FBY6HxwAHOXsfFtH/zzz566fOebk8COO/s0zABDAUHiqpGsPagfFMxAYz+8X5xnQJADgazRHhAw0xjCc92GB0bay7wyQDoWnUy/diCHHDU5Zrt0O1++ONQw1yIrLyKZqnBZxy3ozVwvA/wUQIq9YLIebWcrIzNAc9nAmCDyQ3NuhAnWaDLnLmPaG9m/KwQmNg4jQ2nH/MeQzLm9NZb77zttrtgZJGHSBgK/7AApPNCr7CFEWYjEIMZMZi4gJU2A991Q6WhYjgCoxJrI0O3rhcPvXHykmUZwEzMwMAIaIeQ74iTMgshBpG2TBD/knU+owgoeMlCTVRF6xpMlhScuHrcpOMjMBlA5j10ljNNKbiHmkhMifJIL2dYK2waqLyyNLuWaxtZ1rE8ALsiw6gIILjP4KBGJiw5TDk7yxh8T/CEBAUljnGxuGq3BDfQU28KT5ZwhlvPIUes2peTQRisgJzWAXYHHjn0sY9eEZOjNXQwL7g8ML59ctfJu4ZHR+cxmYfHjLCw9NTjksRQEwHOaMT6YaM+RJ/wbdZkxI9xaDh2PjolxdXM9Oznr7z6C1deDZpllhq+m5IAKozFaRsVfcoNe4repZ2rh3Hlw4QJYMGB1xugdmxDirTDn+G6JcbKysLM/NH7FifwDWLftrHx8aFThsd2TMwemZ49OkNtG9+0FaZio7McToAztuaAfc9U6jpeQgcIHg9IToIarwWag2oDb9AfmRid2L1tpbkyf4IDBtEjKAYSCDSIGaI1WoyKlWVQlUdQRrzL+F0Fbg1ntNBMTNS5QTHbZi4rgFVBREg0LFbSzCJDcYrZITVN94LgdG/QxjZplSxZkiKTOODjQBHKpR5ggmKzlNApDrkiTK6NkzT8Cha/xMShYWhgBJ+0IBdxM/2yPnSjbimYKCFBr1ZbUFp4WNWxhmwxcwjW0FikunS0AksFc56BOUYwcqZvkL0msNUnUNGRzctsFlFf0rSlsWeu8COoVCLazB0kKWvgRIOMcFFgoOmHy4zDaniZmGuoWFAIW48t6mZW1GhlFaz7tC2k1ycvrWFX57+novVk1DqDfkh6DLFHs/oZrK636vvZ0tyqwFYFtirwHV+BXg+oONL3arpuNe0xwB7N1i2tFo76/tnbwm/Gbl241pLMOk91b5G379jqQ7m6jhkGfQijKvWq0Kp4VbZrzatKuRRLidFDFGuBUcttVUa1DFsrrS72nqwTo4RsHWJXknyJgJ+6wIkwOdSZazR/+y8vf9dPv2FyYgyPKv3p11968Oi0eaJKvLrKs3pe7ghBEO6O+x5+4TMvwGWHbRMTlz7vqR/41FUNPFcvLNCANtcygvVlL3oW59u03PHth/HeKp5ZhytTjAcOYhNmK4Nfuu72n7jsRXiuGYwueer5Bw4fj89/vvKaGxcW+bhFLTEw+tOJN1acdOAFlUTo6jqnl3Mz59pF2ZWZTATKcsnUJDQErD999Tef+sTHYqbzRRdf+N6//exLn/PduPEVKp+95oaFBdxVo+uK7oBlpTNvWnBYi1DWTsuFViyFTGAoAg113933HcSdFaaIt6IyVcFSGN0FnMig/xgCuPofpVAP1uw68UGgnoqQayMc1xSkGGILCp/6ynXPvfB8lAWqeIvzwaPHeZ0qeFIOBoVwNLiCKIRcvS1rwT7C0obx8sIdYKmMlcoFminRJzfv/MnXYEIUv0j4rb+8/JNfuZ53lyIDKdF0YOCuBx5hwLjsOTy8Y/vU8ekGrqtBw0oBCMoGB/D25R//ZTz7V1cHmUdQUAxQgaLwRKrpISAyy5xAcq3gMj3c9cX/bh5BMKCkwyx2bd920ZPOQRNTzV++/jYQpoZ1/D85MS59XEy1+tM8GSRyr1oZrkB4aZdWMDGCDTRt08sa+8iv/bvX4VBjxp+95ls4+BzDnC7zYSeJD6dlHx6X3SUMNZuV//ZDBwtxnHfWacbBG4UPHTvh0ipIDMv//tbXv/Di7zKdw8en/+f7/+4frr0p8V4yCwyrx/c8/YJfeMtrYI6fwlz2s+9yX9jYEBgYmG8073vk0DmcdMd9zzupEEQVKVLsS8UEsMLyKgS11lu82XFlpbm0PDk2NDY1jke8aqBBn5Fnva02dxGw+Y8Lj1XUCMdRDQtJuKKO9Fxd/QaeMJmcaWRepI+mGzkBLmww648frKDvcYAwC2lJaCtyyWPYCIRNbBgwPTJQach7Yka5j17IRRFBKBTRijqEqLNAUyNUWyVJO+3oNI8gkBM0LjmB5eAyD0HqURDVI0ALwuLBvDluH8Q45uVzPAIU8djMFawMKhdMxMpzvSWDUDPwEJQkXHGElBYI0ppAi4dGddJwlT7hwDdRSD9DlTM0tWUcIEirOMGMLA5P4kAnDDaNIYMMYVNR/zIPBcqGuax4DR9Y5Lh76sYAKrOJaFBjHfjwYtyAzdAYm8S2Zg5yoyZXgR8xAlHyBE3yPFceJpmzYjUn8OdGCShIOfTiUcIQsDZdbnDT4NjYyOTkxMjYGKaMFubn7IdKNlsZAqq39QjotYfFjGws8UMbEMw3JGsVULdXgCNPS82dM28ACpOrkHGFacqCqgUAA9J2EOSICItRkBEVS2xbs7ymnuuq+m5K+MiXFZAGV5aazZnDx+dPzEzt3TG5Z/vU9kncEDy+fWL20InmnB6ckuQUurzslBw4IKTVkFOn5HAuPC6qGNpk2dCPIicIUORJeWRsZHz7+OLcYmN6Bl+NbKocqhiN6DkBuiVoNY1XBLPyFblpW2iWCPoD5w10oSNMpkXs0pJ1WhCbs9Di1nEZIZu2c5SRxGG1OBgtAC8MrZxU7wYaTI1giZMVzWmgMmk6mZrkWXAIg0EQNgbjkgSlRNKexwOZ8/vnyPzSyon5pQX2DUW2GFJoyXHWCDriYJWLn0znqQRoBnkGSg53XI/ECcm54h87RQMRLeKlsdkJDOwhkh51acRFymyae8bji44QrJarsrZOGwDXNoUNCzaCZe1tNAJhSyQCo+U2xJIqhNKlPNFVyiWltWJ4Hbovx1oF0EtXmO/YIWsXyqZAqj+scuGuUzk2cqTk8k0amzGmJLwtcqsCWxVoU4Eej3htEFcr6n9E/few2hqsyr6XQ3KPJenRbFXppcbyv9FBpAGtlu6l7+r77K5S3WnXj2IdNT2Fjc+kRQT97e5uCt0iwEqIoBu2lUo9MNcar+sQ1rQ7lE2Wkp2Ypye/nNWFR521Y3PtLXd/4svfeOX3PhOPkrz4gsfjpix7wy6y4IMlpafTcp1EAyhEe/mXrrvshc86Dc9/Hhz859/7jI998R/xrGPMMJlvW9MPgAYHHnPq3kuedr49hxZvIb32trsxAQw+pFSAkcECyy5c6ArAibm5f7zl7udf9GS86xCvAT545Lg9/xlvuPrS9bfgIYWh1O7NrwZgw+spuLAQYg168mbK5tnWJrZgzcR0wDdmZl+k4Ghl8IvfuOUtP/RivPt2767tr/v+5z353LPsRudP8fnPnADWxSs3pctQJcs8cYmeiZcxgj6V+Z9tlkXGqg8eqW2OIDl49Bin9wwLyioCm/wf0xGm6xidiGAe7FUo+pNS1EEz0pKobYPEgoRY8RHrlnsf8Pf+DgzgDmCllt0MjSb+MWFFSFwScoGVNbUtrIoRUFPXbYMeMKXjULm0XIdyPMP8nNNPhvHjzuQd8FbhZL2C3uRwxEzewsKJE3O6xcCc29qiDF7pkxxee5PEO9k3kBg2tdhPVAtogYI7Yxkor0OTwTWzULWxhjGv/8PL4MrJe3e8U9OQ4L/2P7374cPHYgrWEbt3TOGpyzTGlPZ9DxMzWwBhuEJzvgAsB4l1bVcpZYZlKoUtSwfw4Mj/8q8vs9nfRrP563/8d7gj1rKSP+QHBM8yj0XXFs7+h7MZX0x7lyeALzr/XPO9P84NK3CYG3SM7Idf/M/i7O9Xb7j9ne/5a05FW75elKgb4yInFGYgBnPGyXt2bJuYnuUN7t6D3NDhPjzhWMuDBw8bUVpDq1jbyglglIc7S8m+moHDzkxjcdcUbgAem+Wogq0WQFh1HUsbrrzmUKMqR6iK5mq0DXYgCcY/NyItB/Sk0SkpFLQQg9o5ZhDhhzq8dG3N8toE8EMI9SHDEhRdYWE+HKJxMTBzSY2AnoWRKEer9gRwWP1YGqYedlYL0ezpG+gMKQVUzBlHlAUooFS1Hk2EocHhkaGRkRHc4Y13A4ATE2yLkYWR+A7MEBTbFnR1rZggdFAP3oarjrEyy1AFIEIIxEBiU+x8y5UjM+SiYWVQABEOdMjlPgaBRmrwY4rECokkkkBaMHIIHO9TWZp3j4G50cSbwdq3AUQKfPozCR6V9e1KYTHGYE0QFiy0qZ4sCVrCJWneVYVs5+LYgwsfglSJAKYf1qEOqpQhQ5OtlQE8LXZ8ahzE/Mwc7xkMvkyt1jp6raXdToljCHJ2B1asIRMkaQcWygremKPliY30jRHIIAS3xkJ3sGSh6ZYkt2HJKIsiaweNwjZTMIrRtxoAnhimgRdnDx9vzi9M7pqa2rMdD3jHS9zxpOWZg8cgwuOXVaMkqoLP0IRHQqoQ+DWG0VYsD8tS42jtjGao2NtGJscmdkzCZHERgTbwIwLVSV95YlfEGJSsoggsbT3XHC9p5MWWCA8sduS3/onqnkxsyzj4JdfQTC2vnPGknxdGQBYHGDzSaLcuqDEwLbZJP4MyiEAZlM+Zh3SCkFuCWDD5IqQ6BRom6AKGgWMVfn6CLmliV8ZdwUTyqKBDwAzU+GUoU0yl2djJrIMdHAgWK5logEuophmYBNyEJ9DsA1s3eGvfsz2OYhtXWT0NTAfB4D5NiHQYyNhaYFIIwdGKcAojg9BRW2mIB5RMwXy6Ltj8PmdSdTvF8pWhRSoDsQ6NAhBBFrYKM2ukqn2iszKsq9uYzSq8rsI0ut8iuq1ANmC6tey3/tZ46HeFt/C3KrC2FbDP1U2251pQa5toCW2T5VyKbwMYKEkvpe/RbG0S1MdhL1GvjXtDWWP/awy3qkz7s5tseIb9SatDpat2lFIlSowOoBslXscKdleS7rS9fCGbnozbdEHATVTgIvGiq5TQkiJWKwP/58OfvfiC8/CcW5zZxtlf2POU3k56cUIOmha42mvXG3h/219fcdVbfvAluEN3787tv/G21/+3P/jg/Y8c4TSkFjmg0RPOPvWXfuKH8V5Y4//J33+h2VgEIM+ooy5Ppu2KLi9dyJaOvnDtrc/97idiAvjxZ5322pc9d0x31l7zrTv5fFe3dW/BxMyTlskzLYniiXgqBdM8U8r/vBDBxZu5OiaGeLjxl6+77eWXXITHvb7xVS80yY137d//wAGb4sKljXBVIoOTGj0qYm7kLjp1B4qJYRBKMLwcpisVb3zlC8ZGR03vrvtwuyrvBeMCjFxxTCWsUxEBefVEiyUbacsaTYXgRVDTVLI1NAERzK01gCdgn9AkPft957ZJSzCMjjTIgK+krAjCDoDuqCLKGEIYSGRg6h9Xdlyb1+RVOklA879Kvf+hQ8sX8t6Slz7nwg995hrMB/PCmWKAMUb1y57zVL5gEze7738Yb+STqVYOTcQ0bzWSOkgsXVY4M+I+xeHO8Q9KF+uEVVyF/KWukeRpokYON4h+n28sTIzzttof/L5n//4Hr3BP9ELyxy97ccS9c/9DuE9N7MhjfWyBGxaHdvyLfDWBlDLcpLzJ0szL3nDpJTYPjZ9EvOP3PvC1G+/M5LRhjhobNrblrog1iIcz3//IoTNP4XOe3/zqF11x9Q2zjey54s++8An4b7BXfZM3Q7dadm2fgrlJofnzv/1nuP+bg0JLcGtbRVIFdM/9jxgbhm981ff97gc+EQBcGw+Xjg+7vumu+4EekKGQb8nCxgPI6glgWtfqAmrhufPTjSXczzdsDy+nO4WXhBDQbMh70Baai/KS1HlKmyU9BOMwOiUJqmFr6lTmiwq5D3DBPWppaK4UNgHcUmBY+AuANCyUHqIgBQG53wLXzkfw1WprThmu7lnSTqmU3YDyJAnPJoYhLbUCazXBAA0wuP93eHiwCb+Ly3zwvXWByTyqVpuk2DEe11XBhBUkFSDmi+tQCNCyVE0KlqYNmISfkNGxEda1jJA6podWPmQeLKhoPoNeAA1bAwzrBMFYUGPVbPjoiIkGtartZRRBSKgRhqJDOU8tWgRxGTVCCbjNysKJ+MgZphrzlJDOG9vMhnjyAUuxaKZlaHgQPw0ZnRjD02Mbs/PLGD9eCldotwkg7XRqyjIoL1fMEQBM04unfbwSM2SurTcCr9KgJRNW9I7jpKLKBrNbZLG2hMgEUI7HJIWTrTKlIrUysISXRhybW8RPzmbmcSvwBG4FnhgdnxyfPnJ8/vgcHuyLm/6LVhXtUEyIcLwyBfvOaHE5qzhsKpDE0lF6YBS3i2+bXGoszh2d4YNnwjeMzEXJPvihoFX5GJEZVmlARHbIwiYOS4oJI5KRMPCwdl+hKsQOosqtBRD8V2vH3aqEkGJrcEkjQysYhENQgd2uid/+4B0zeAWAHv+AZ2rMLSzh2UgI1AogKlcLfnyJYakxfx8v9BNy4fCnbeBEiEgYiMDYLcY3zKhDIjQ4iuiBoIGXfQaCg/+mEAlpB10qGLxj5tWkm3nzZnmTwZVlCSd4Eks25CTDRuHmtKDqKRbZELjbypgTt+tC1ixBf2JZhfNVmKJHNvvSY4g9mm32atSJb1PsTHUC3dLZqsBWBWp8OH/HFmkVH12rMF2fcm76ANenDOvmZY3rvcZwqy1DrXCT3TkXAAA7EUlEQVRqKa02kke//bqVqVdHte1qKz4qOq1f2ZRxKzlg4kSVIv3h3rXf+atP/tJbXjsx7rOJVkTNONqJK08y7EQjuYox8PEvfeMVz3/G4844GRcf8Jre33r7j/3mn3/82pvuavC2V2JMjo8858Lzf+YNl+7eNmX219x4x/W37+fzn8O3ASlGVJxgKyZe8eEFg6tvvH1mvjGBac7BgbM08QNY3DuI62SaEaMXLgoOK6GhBWu09N9YphZpEPYffBBmblJ6lrbDmSyomcjRFCzP+QevuPqbePKzve/ThJ/+yvULHiTxcnZJE1nqogHlutgZW4LhdRUo8L+3B1a2b5t87On7fuzlL8DUuD1g+e4HHsEkJe/XVrCConrqVObOBL/w35QtcVzlYOqKCyFZnb0YQsnBEkjRYW2oJGgG/tETs5hsA96+3TsEapU2FGRq11NCcmTTYXXcZqR1eSWfgc0OjDU3iXeiimtqK9+8/Z7Lvu9ZmOKdHB//z2/657/+/o/ehylhzMfixs3d23/qR152Pl5xrUdi3ngnRqyPNx912FhF0roQ2MtlPqyKYR14vkWVYJxdCxM7dqDVElL8d1fqXdaW9Ql+8eRn3FL/tPPPAfs1L3nuwSMnPvSZq+3lqoj9R77/kld97zNpMjCAOdc773+YhlgEY5TKbdyB3/m5N+NttdZ44y/+/sGj/hRlFTG4lhlW6jw3DLwEOLJ4r+LgD734Ocb44GeuRiTWK8maU4GqrRXYy2wmcIQa8ICwMvgPX7/pDT/wfPBxf/bbXn/pb7z/o3qWwOC+ndt/9g2vjD6v1At32bRaRYGIV73gYpuaxbuff/EP/opP/y4tWWy+VxQ0Bk/Mzt127wNPfOwZEPzIyy7BDwg+/LmvRqWXPfdpP/ev/oU1GwvNm+/aH0UoWVb+yE2IFhPAiUZr0tPF1CouBM83l0eHcZ/o8PKCJi3hOOmvwtCrwEyUKVXUBV5qFUV5L6lKjkZ/6jXzK0PDuJt1CHROHBvKSeBUELjGnqun3qKNHVmy/cQ6MYp7IxhDdnTi4Zr/uFgooO0IY0xJgkyhkGMgLquxUfYlPUyZDw/aIzWWF20XJnDOcWYU2V6ynGIUQj/kkfIyGFEQQcsUg3ocV7TjnwlSyxJiiWHaxA6dV/KUAEbzQvdHfqJbFU8QZ/od94eYFInkoyQPFeIxYIfPvMg0WHS3NZDS+EfBY2QOqGGpz43QGzb+bfIQhzZMK45NjeHAvDS3uLTQtMNtLsjK0KIfEJ21KyECM0Ix+AwryRGa2W6eaQggWIuNVa4dXHS/9UO9O+PGyXyQnYGZU65bAk4nU34KLjXnlzAT3FxYmtixMLULL2qeGpkYmZ+amT0y05iZx6HSvzhVg4VahOBDWyGEOMK2GqLIHeTs7/jUxPDY8MJ0cx4vJ+bgIobhBBduVwAvSIvgJsa6YBb0ci40IlwxO6a3sAwI3FapVPFSG6dNrZBFxiwI4lgsIlEveiwaQVRmFREq2vqmi59+8refuPe3sYQXNK/g6wzvFtcAJGz0mu0oeaigwOMAaKw5nRwCSkjfD0wSraTKniFfskiAYWrgMB4evezjSqr+tUQ6MmRc7ji0qY6wlE2MSdZyBjVpckCaqsucnyA6MtRjTMGJbBSY9Cs0XJMbI1lZp2jDJYZnZTQvJsrWsCkK9N0201gHihFUBLIOns1FsQLr5njzOuqxO2wI9jetHkPrb1BCt+y3RtM6lHrLxVYFeq7AehylegxuE4cWvmD0mNk6ma3v0XdDu0vONzQC9Glb/22F6zQgUjf9iWd9h1yaT0faE87lnWt0RFgjhS6cdqG6RsE5TNf92IdIKyArWJV519WrNO4DU/HkgoqntEVvOnu1s3GIvvLN26+89saXPOvCdAoTUj0wFp2k81mYhJN8O4NtLg/8yvs+/I43v/rc0/ku1ZP37Pz1n3odns98x70PYV4NF6nw/ku7h9K833Dn/nf/xSfnF/D0OMSFOO1/EhpcZUOCVKO5dPUNd7zs2Vlg07Nz13zrrsWl/JwN0MKlIbswpVuVdagMgIjw73/r3yfOKsh7Hjzwb37lvbij16952IVUxlQKlSzloKnO62+/94GDR/gwYYUx32xipmrRJ5ZyPZJ5VWCMGwT/hzlraEiE7b/8gUvwPzOponDx591/8TFMkytIauhSCSAq/KIIH3/3f6iCyXj3PPjIT/zy/5mds3srAaJoOGCwFGFVBIisO6NHu/g80FhYsJ55wmPOGB4abg7y1gRbCCRgNkHE/9aMa4ptoWk0D8ywTe6LQddr2KO0ItDw4NPoB6+64fYvXXfLC555Ae4vf/K5Z/7hf3rTDbfvxyOU9+7c9rQnnbttfJzaAwP3PnTgLy7/Ih5vLk/wrxA8ct+EIDpuYUsT3wSorA5pgrb3cafjZTl5xZYLIJgTFdj4vQ9+6vf+45vxWlyI3vqal77qBc+47d4H8Wz2Hdum8OplWQzgvtv/+acfMZogVhCDC4CA2zY1gXu1TY0D0qnqjaJJJmuqtcjFcWBS9yiD/qEXP/t7LnqS6Zbx777/4Z//33/u1yFNCWvuIbajrPzZ5Z///uc9zR6t/PLnP+O7Hv8Y7HrjoyPPe+qT8Jhxs/j0Vddjzj5as1hZg9QF5z3GGHgw9f/9b28RftSQbjB41x9/+Os33ZkhMIqoOfCrf/S3f/SLb8VTE3DY/Lk3vvqyFz0HhwGYPuVxZ9mrf031f/zJR2bm5gNkZi4qgQuSlhPAgHB1pZSGEmyxpRb+FpaWj842T9oxNjo+hukE/bQhWrQIJkExMrorSdoxKnJqob5sv5GBgfVxqsYYK+KM4GG3iYzUWDT3nRJzNQyhBX/Yom0Oqt0YN+h7SKvxT1u5xR3NmAfi1D5+S6XPwuQAmHow52l4oHMRuXaqkgIktDxXJ5wh1sAxyMwkceGhpSApnWoGOuBAL5BB5NsWCFG7hTxBiRpGtB1VETYSFWFEwKJS4rQFmVnoc15aGc+M7IgHrvnBw2F9sa8GQwOYzBubnMDImZ9tLOOGwfxxLWgn24gAArhFh4lmHTKiuXKxncKXd/OCtveGBVbHe6VOApp6DyWstGnBNKgEsIVeBZtGOkijUxrHZpfnF1YWl8a3TeJ9wCMnjQ6PjQ4fnWnOzi8u6IEV+UBbhRpHa1G9wn9kIZCgjrExNDQ6MT4yNb6yuIxbk5cWlhBkENMkpQ2ip+yj9woicdEC29iJXgXKKlgRmDtLq1oTPyqCTkNN+TmlnFaXEQKUr4IfGkZUeAMPfvXFd+uYW8VZgReiT4NTrMkXpTAzS/NMT1R4jUtwQhU9V0onAWzBJDmg2EtRqI1dWUXg1qzxqcWn7oR9XEqhNrFe4DLNwJcDXwWRxejfIWhoX5CkZTpKI/2SEeGDEjGciU1sGM023xPDmXHSnqDpo02eCQWnFR5rwiUejNViO7fvONfdeKvvG4Xbdy99cWA17x66V7vuPa3SopdAe7HpKkwMmL776CqgLeWtCmxV4NFSgc167Oj/52CvHsxus9Ytjrte0/NvTBGnNrGhFdlQ5yoR6t06iLbCygr33n2VcKtl1gqnllIaSdcGqXG3dFXvVPG6xe1aH05LibdgrDq+Em6daLsxCrqrjrRzYHBV10tdvaLTkE3YFuWrancICldudCoNNfvdMQjG8ft//emLnnjOqXqnr/nnabnOzMOpt0xoxrlKwqwM3vPAobf9jz/92Tdc+j3PeAom0mA4PjJ6wXlnlzP4m89d896P/MNcY8FPiKlhoZaqAH+SWGSf/8ebX4RZOj2MFzZfvO5WPCDP8M3SUIxDTLTJwh/ulDAiCDtt8VJYzVgTgqaOJbLCVmorQ3Yf22e/esPZr8IzmTl985Xrbj2ON+u1XhhluEiidOku/i/vuK2QcIstZn+vu+UePMpRmEERWOy78L9U46BXsT3n9FNYbXYwzLUVEdAKJlQDPFXxQkiEDipcejo6Paubiwaf+ZTH7d6x7aFDTak5QjQL+Uoo84KP2EzNIxOEX08SK3sENMLibHC4vGSpcMpS/wc55s84Zc+THss7fXEf8LO+6/EpJuhDx6bf+Z4PHTk+o/xCllRiQVsFQ3l+CTm5hTaBR6SwIK50MRF3Q05h031UDtbg3XrPg+/+y8vf/qOvsOe340b5eK+8gR05Pv2rf/Th/Q8dtg7lwEtjZ5NtOo/4aKITk2YaV47OX8+qtMD8ejTBq7LPPu2k2CwQnMQFBHsMG6wtKo5FMgcHTszM/9r7PvLLb32tzSg/9vST8T8FuffBA7/5px+NmVg8BEqWpzwuO0A9Jm+eaJGE9Gs33VlKSvEMDN58932/+4HL/+1rLrWj0+PPPg3/Cwj/7xNf/NgXvq4ap9UtaOWapQngcKSIhwxX9xLljNVgqfAU6KMzCyfvHBubGMNTXgfwixmWoZRLyTpXss7qJfsKRqtAsW9CRKn1sIUYYkx8VwEUOrXgttbYLdi0aSaxKEi0jZUTRIBuuNGoHmGeh/DSxxFc+UcBl5eXQsVSBCtPDCQSiQ5UjF0lTPSc7KxbD6eMTI51WESIRLV2PW4LkEJpgFWtGLlOhI+12s5x5OZoKeDAvUVQD6eNVhUMnZlDHjaicaRWBvH239GpMdw/vjgzvzA/v4JfZUVp1I9EGjzU2mhGkzaEo0XQNqouSh2aWcrxVFcTWMtYWgpaBt29RYQqmuITD1N6+AHkgWMLeJp/c9v4jqmpvdvHto3PHpmeOzKDVwX72yNy5Yh4YRAkjN5IfPHAF3u8AJgvJJ6bnzuKd8q3ckkPMREQ7fSiagelNOqILWZsRSLV7QNNP/jTVzHCV0eeRpPSSUAt2IlGLZIfnpj+RXcM4+i50miuzC7wJ1UIMf+tLI9m3m1tKUQaREjKeFl35jGsleo4XVDLuBmVjZFor+92NNWhCGymZu1M22pvfF9TK3YH5pIRfNakvi2BsK0dF0Hn2YkpBEKiNZXYlvLKAKezjS0GyVSsthlxbhu6IROXUFb92hd9F4pa/Se8o33Tf39FD706ZmcUseq0e7Wrg72mOtnAWlPYVYNt1rhCYj2NimC8td2qwFYF+lCBzX7U6EPK/2Qge+/bHi17NFubDpHzDY0AebT131a4NkXYQmlXgawDMqpTp7XDW2tZLioHr+J15XfVAF14W2tfq8NbnbXSXgOIQj/mEAsnlZiQwzNjcQYqpTAzpgamEv/wb674+Te+Oj4IOt43CX1NHVFPd/y5C/vCPdNY+OX3feSVt9/76hdcjAlUzKUV+hP3I/7FJ7/0pW/clt22a2GlweGikmbmdHIHBL/IBOobN99z5MTMaWO77bLTlV+7cbG5xOsdUNKa7vySlFwrukBVnIAXwis2URu/QgCMcD0iKCGS7ISe9aO2fA185pob8HBamwD+1FXX6/W3wWxgAJOIaboqqOySi2leVhgZYmZdpA4fm75j/4MoLB6oi+f0Wkg0D4bYWp8VLWu2WYNi7sSMHhTrUVSDD59DI/sfOwX6N9z+7YvOPxfPqd4xNfnMC8771Jev1xgQNkPlRc6wsN1xydTzqsdm5u1+6yMnZkNA4ZIN4ybNLda8LdiWwUPHp3/qXX/8iuc//XXff8mpe3emFzaR2oc+e/UHP/PV6Zk5jjLYhP6zraFi0AY0Bw1aMb7IyBRZWQweG5t+Qcn1j3KckD5yfJbPxPUhJikHWgCJA0jaH/vCtSj1T/zgi/7ZU89PX+N96NiJa751x+/8v08cm56RpZunNKAVCMGPHMczn0+XM7xWDjeGJS8oRh7BOU2gzopyAT+WLlExIde7d0xljfaUBp4cFZB4gFDNBq66/tYffcfvvP3HXnnxU86LvwsBKu6y/dvPfvW9H76isbAYnXiI3iYmXpsa7xWOaq0JCwNr/M+DyQbzu3iL8M+84RXPeHIuGNyI87Vv3fEHH/zkLXffn/WaTAwxeoyg8UgweN7ZmqCOHlXg4J7DJlf+CBAhRaBgU+MjF561Ez/LOXbwSHPB7mHPK1krIKSRkZe2q+y64QUfiQ0uXW/ftWN8anKx0Zw5fqKJHwd5iascVwAkWCkZrBOLhEw1O9IBqkqxWsadtLxQt1JQVq3g5CzldmhkGO/j3LZzG+4Anjl6ojnXSB6gDfUYWyRS2BxeKmhDl4DyICVxGyiJkjp1jLcVVj6EXIVbx9OdN8MpHuRbBVTky05ROk5RYe3annDLeGOtVga27d0xtWcHDiqzR6fnjk3jHaLx8O3xOJhaaxV5LsCu885/SiaBgYypBdQSIwgK2zTNnKilIKeVNioseoqiAgcdtTIyOrpt7/bJvdtH8TaUoQG8hff4I8eXGgv27N9iBSpAPNa6MVGdnzO2HZ0a33363rHtEzOHThy9/xAnwaqWam5Zs6BnXyXAVHBh29FMCgUo8GKGBVHkQycVpXzzaVLxc0J9CTSVGuvUR0m9rbCk3ZqxMjA8OjK5a3L7qbtGJscPzy0/eLyBHwbAIBd5AuCeYwCmp2a2kj6/exZYKhy/jFCBQpYk6ASP4EAl6037eiiWjvluQQX/Rhn0+bXGWYpAKqAMTl9SLQKT0kn48yj8i5ELpGajWEGamfCKaZsohmYAISMFgMjid16gMftUHungxLcWdZ5ZPNpSqkRyUeZt+tDykFtF3gePW5C1KtBjj/RoViukRGmd3CQeuyA3dXBd5LGlulWB74QKrO8nWlcVW5fQVuFkFaZd1WFLuW4F1CMb3S1t/bcVVqbZvUUlTAtmd+i1tGsptQhnY9gbEnELpyV2ibGONartOyiGbX9jrOulrl4x2sQuIYtaa9TmKS286LQaK5xK83ZVvTFKIp1bF3yZFlXNGGKe+uKPvzbn+8ew2MYtBUvox5y296zTTjpp147JidHpucahoyfuuu+Rhw4fg099NccqeKQXWyDSPwPWmt50ui2NEBC2AEoWBzNVGTI+zECLFjs7I4Ad9G1BCUITHhRIBAGDdAgpEGJzhb+soEBMIiK+y6QkRVLpYo7o1J0EDxBwCal75BYwrrn5ohxSPNAsq2URBFn8hmkVSVQdNtmkZfASqAsYkiqiNaMSh55CsiE2b2OTLcLImur1qGBICjFbQTnnRcZuEi0zxEipe9lCOLYioYaVx1FtvNEfdG0NYvvk+Fmn7sPQxRz/fQ8dPDI9q4urihcg/kg8+jeW5SVzQsUF/kAbsvn2gMBKllgWKFtSZmQqqaForiIz1ieJwRPBW0HPOnXvGSftmWs079z/oO5dNjuMU8e2YiSxwBYty2Dg/Mee+b5ffCtmjl/9s79BLqKPqhnlLMvUVGIiUb0V4Yloo7BscFuCIctgbC4UHFjc2gZrTHWfecres0/bh5fs3n3/IweOHPNUrYcCQvWWhwkshucqyA9l5kVIr7bw/Bqeks/6lray1hz5ygAqf8Ypex9z2knQ2//QAbwSGL9ISOMRJEHCWCLpjuNOrwRHyEd0CtA1EJES92ZxE1Rtq/zhe6G5fKKxtGtylE+BXsTLknVLStHWks5zEWzef168Rq2VgSW8Lh7PLhjB7azDA/NwGSrSm4fVWed8VkNVc82wWpZxQYVuynmq18hw0DXcCfDADRRtaR4/NcD+k4JYI8dKxRltKm2Dao0CiSxba2SOcpQbcE8zvm27xsmBslEPwbQ66EZxzwMyIhjRtsilTOoz3E30ZkVAs+gwsgbxON8xPEy4eWKuOW+/G0h0o1okEmH9sHKagOLiG2vUXxfNiu0KJKh0jrp4LKyBW3bVzqhzFDnrXCP1hJ19EMfJ6YPHGzONqT3bp/Zsm9i9bWwbp2Mxhb/YwM+d+nW8xoFleGRoYufUyNjoAl7ecmJupfxzAQXbMvw0lVpKqYHRJTNjdO7jMlQNTgLrjruobowsQYk+S3lESdeEoNA72A7iB5Yjw/hQwMc7XjqD73n4akN+R1BoxJBAwzLYRHYkEtVolAllJ7hwUHfnmQqwGZZCjpHJxL2Sjt9yEruIpOcLRdOESJQ1MRvbagVFcBWmt0GbR+cWOjlVNQs+Ecu4Dotf1kVPUClbuJ079A3VUrMg9dxDs//bqiD67zXnoVXJckrVjV5Ne7WrjqKP3K4DLYzvfoW2Tm56C7/rovXmZstqqwJbFXgUV2BdPvt6dWJ2m/5Q1mt61V9/agym3h3WAK+hssl7BOXpMsKNLmiNmq9eZV2TdGc5n112yuozJgKc5oJog1pXryVETwC9GPWhkr2E0bIQvQjWLgAhFeFwVmkLrxWAtv+cc9I/zaZUhA01inRObGKY8EIUmPjDmS8QYndIU9cc7nno8N0PHqLP6DigB/0IG81xIdjndXDpQkOXszIEcRfSxIN9saxAwefiJGciCIt/eOOSBamN4RACUIaVZgNO1hS+dIhpi8IECXYSKBqBYfp47jKIkJvxWCSBS0aDuEQo1dDYUKdFCJg5SGBr5gfKeRDIVxmTOjIzWxbEdbG18howq+Wd47FbfVzdUzA0NAw3Zk0nzlIs9AaWFwDIZAhXW7awwMKWUvBhtpQQsg2axW2EKAqytuLwZqQjAYE7wDgBjT/DdOTp2cbNdz0AAXJQgbCiSLQI2kvZ2GyoLuJFeEwsennBQiXoVJ0R3KMNjmJhL9GdWFQLS0DwrkIkCiOgQTUgi9AIkXlzcfnu+w/edd8BgFrkxDcHXONPXoJLsHQw4B4H4djo6E/+8EvBvPamuyysRJHmBkVl4aAtSzS7XiKy1TmLjUgmjNjwp7BZNzJtvC0ur9z70KF7HzpogZHpZbGUo4c0NoWOFYQGKaEy8kIVzYrtFC2jMQ+3/6GD9z18CDUJXWqWdew9O4MrPQI680LKSpDn5VusEL3iD3PAK5MrmPJZaDSWG+H1fUG9GFqxHfT6tF3BS0g5fWnVL/ZJV047RA5x0tttkFviVAuqucBvKWjju4WoEgpDHc/aGBzE7ZvLi/GGdxvXlQYBvCwEp6o2ZcUAEbadNYJmtoVN9KfDojEyhW6oiASi3tJZMdPIqHrYiZaZYo3CVtU2Ue2Z9PDym3ZoOCRgwIzvnMRk3sDy8sLC4tLCYsUR3GZGVx+2R4aQMqpdfCVZzowHtNXHJB+Gm4Hl/JSiaMHoyQhYFXYVrLJT7umNmbnF+ebCzNzUvp14cMLO0/aMTWEa+Fjj+PwyvhbXwikjlziOg41qNDg4sW18aHy4eXhuAa8SyOrmhp3ddtYoxVCJ3TtOK/wOfH2KZqGUUk/N0+BSWjolRmrZBV3EwYcAfgiHs4mh5spyAz/xQp8hSgVa1I1jDwLLJMmHX1kAFUThGwxDy+FAoMO28YO6Z2D7qOsDnMre0nfpPFrqA7qqdfQlImMZWJSaPzbzIAo2uPSgck4LCJabMaMIRCxMZAKFMaSyBB9kqplJlEHWBBWhc6SpVGPkzNe24cEkMa0tfie01uXsZNmzfMNy7TbiXmqz7gOo26T6rf9PvgD9LvAW/lYFvgMqsHk/BbaOYNXDa6PrIv+bIojq+mw+bnfFqqu9effcVj1QN7NW9mvGrwqkirdmDtcEKIkwIdcEGiDF4dSFiy5UK6M1+2IAlaqrYAKfjrhxEi1NlfiJPKRpDPkT/Eyis340yeEsjK4zuCWbwqSYeLyqCI5lqOBJJk3xfOXXE3R1UrPM4mtOQKfyftJt1snJvXwyEOhbOKD43zeKBF4pl2/NigCG/22WjpiGm+mQognjEW1EbJJnC1h+fSNMO9HEwoVpIEQGL4YJe2FzI8L7AtZoMkcCQUtmAEJBuRajWFuEEdA8MKiRhX+SBFeENUhGCS+MkE7ITQobUXKEWedYashYgMSWQ6IZEXJxz5adTURneBYlwADF//gLyE5hw1At3IxXolQickn4nCkAI1v4zB2LdY+SDzjSs6LgLk0RuZHs9TJ1JGhV9qSVsCKkJKga11ohL9mzYUFYMyc0D3ENGefIFHesAVKAApqUqmhRJL5LjelrbVI1amoK19e/9tOvv/gCvgj5i9fdXBwSGoIQYUE+HJ/eUwCUM3JJdFhibRQ9jEPZrUq2JgYz1jbUSTVI0M2Z9S7XbiArdXohVcP00DkAWEMYAofGXIwWWbGqkV2FVSeWUA3a6jfiFTXDWJActwBaLUNuM43mSSuY18c9tryBRuORtsXSFNsF/LVumjsmzZHNxzbgiGzjqFtXaxV5S5wKQQUrhm3zZ7HZM5H4AJkOPU784oZz3DPNfXJ5BW939kHSwjeMAZEBFvCKIWaKRYnaHcSVNmBGszAGwWgRbyuIHL+YVE5YbsBbWsOiQowui7OoUqud4bT3VwusSilz4FTGqFIv8gantk/iabELJ2bnZ2Ywp5jJI067MmXq1VQEoTjXqNYvcStsKlglszqMIk6xXQeDOmtoVxcq6OGRCcuL88fmmo1F3Aq8be/OiV2TIxOj8ztmZg6eWJht+GMt6mZS0gt+ogC3lk7u3j40PoIbf5fmF5rzTXyORGlJPUoC0VnDNaGYH3d5y3wroPe6zXuqRImfupXSPLMyuOCjUpi379xqAzKIG4BH8Nds4vdd/BbED3l9twFsCCJ4QJsKasbPW28GvjVhK7AAAi7BCOxg3NrXp5QD8AzPlPn1jd+ruGTmaYwUUyG6dt8BWKZYpTqBR6bsAM1wksUb2ASghKReTjsaGqCZODgb+isAyEYo9s0tYhQIA3OQgiw0q6CDrF9bL0AMr19++obbfeQbUea+pV8N3H1RqnE6cNfJTYcoWog3dXAtYt5ib1XgO6MC/rmyGZNZl9BW4eRRcuDqMUMze5TkuPmGb+vCdd8f3Vt0WY/WwXYJlKn3PebMVQ+UR5cFaVQf6tA5uCyIzrqr0ui7o6R8CbmqmINx32MPjnLbxGtC5lR6alSCoWR2KSOezg/wAWG46UqTdHBkRS2Wlnb8i5FovokrnuniEhANeNbOrZ3L0wNO9Xn1geBY60JERKgkDAC4ghYsKS64o9e2ykC+cLlySM4QF9KiF2nSQhDQYghCFQwEuvbg6dOOVzaYGCJUMoLQisYCspa5r14Tl1BCggsjsHaOYOTCAjQUCFWwdOsMYyEAECFyaFskVlSlLL+MMsgEWQjYAXQ9hDT+QIsbzdBk9fDfJoYYocFYKGyTIlNb0lULYNnrXgRWEPpmIY+2SnDkRb1COInRMhuLoMpNZx5sozmJMPwUnJvLkYaEImTsCXBi5YMEQg20YO5bBa2UPWwwNIQ1JJRUuBBGC1d3Y9+4AnxK3LbGDsIRa9YWfZJwEZvtkA6U2dVwlIxZtrn4xJtmswe3T002ms33//3nr/zaTVA3Da11DU8gxmTYpIhtnLrrqG6E7USgOT61T6ZAYNKDrekNKVjJs5oKhxL2VAxJquYiAYyldhCK1HHSMXU5DG02Itt7KoIw9ywOmQgvMYFtsUR5Cw40aBCHfkjiDmCWO68Hvi2uH5rttkA5Ps+b/EaGR/AWyWYDtwOX5tzo1fy2g1ozmbkjHCl7gP7wEB5nnM0r1PWVQdW1KOrFrqmAqmAx4CJEvt1BnFeubNVAwCcj+hMVwwTeUnNJzxSHGYdOMUBLsAZmyVJg6aoeSGoR6GgZ9pbIgEZKB4N225hlhSFYJs4AUq2UrtKolmea7alobYQCAanduhhVe6QWUncQ/XRVOljhVxbjO8bx8GccXRYai0uNJo+YWDLEFp7rsHMguUYd6+ooasJArU2BK0AqWJ2D7MnIYCtMK1iVIZT0OAe8tDSHO7ibmAnefvKO8R2T2/ftGpkYmz1wfPrQCcwB85OjRUEAVy0p+WE0YA4NjO+YwBTj/NGZ2WOz8TOpUj2XQGeNnHrSSCwTMlHoiawN5R/3nZ0AEbXU95eycm13ZdMcpz0O+hmfnaN8m8Vcc3l6FrcA82uU9mhaFqyVWuDZ1rVoYwyztm9SQTVDSjgAt6+Tbriin/OYIQpjmqaDdXCQAZAyU1KSu7Gxg2a6DTQMgnGIW8EIJvi2TGIRGIIpydpWGaBnEWUmyeQoNX4UGjCjWhGmrsD1GFNcMmeR1X8iF0H/3ZU8IOlVhNBTyVbnspRBXxm91KanonSfxaYu46YOrvtab1lsVeDRUoF1Ovz0Uo5NHJrS2ezxec3XPcx1d1g1uDY6iLX3v/aIad26Q+9OO/XTju4PajuPm1W2qSpRO5hEMSH7WOO6Xurq9THUHHTreDTpA12cFofT13jNwk64ebUI9umpBmhDDFcTcs5MpmlenRJLSH2eRBsMCSEEdh6ArWx+AyZmJYJXC+Q2m6oAn6ECyy4hCznFMHOCkqs1dGQmhlYh7WDNGVDh0WMwi1cPQk2CtiuYphqsqE8JAcivjaXq0AohWFwenoxMMblSJxXAEzbWRj6UNlzAXciBAZDNRYWOfnOe0DBYbiMsgThfBg4p6ai6pJkUhBaHNiwTmpmG1KTqlMHEEKIchIVjYwFNYqdislQ6ukgWFMBCS3htyZhHQgBROdMp0FRUZIGeYi4aY3lMuaRnLhDZmjqevMcYwIBDLEHRAwhBi0jN826sRQeqhyxJ5ZboOx+Kq3EcqHAKxRBSc3AYTrBlVKqwmcNWykzHc6H2wMr7PvK52779wJHjsxBYfUzRc2EjsxRE5Lh+YLbdMjYsVtR4E1pwlZhadeVUncnBE9W8M+DY0qSdjxspc0RFZQNloTQMzJaG7DKPhzpGa21cIgRPOZKuaMFFmEaqmXfsQQFGcWV6Aia4xeRrTgBjAXjit4qT18i3BIHLwfPNpdmF5R2TQ6PjowuNkaXGQi7WmIH012vlXrHR+2vrBQEtlm/tYjSoCsAKFrxWc2M4HcRRrzVRGwFDlvPlQ3gq7BJe7RzswhYeYqHAS9itfHdQ6SBuhQq+LDmKRWCHNKjeAG1viLZGGLMqhKhYJUzL0lYRwtYuiJxaG91evzqa9lzipn7yjfa2QQp7TOZNTQ6PjuDVv835+ZWl5FNwNTHHyEDw07DrpcKmgtU1bFWVusft3iIGqs+3UmXrArbWA+TyyuLS4tLSLD6oFhcWp3Ztm9w5hUcCjEyNzx2dac42mHvJcwwsI1o7gc7gyOD45ATuMMboa8w2FmcX7OdimXmZagtYVk84ect8K1GrTdZJP4AlXwDa1U1BpZGldMQyokoUVGptOwLgmc2jQ+idwdERzPzil15NfJoWv4pko8DxMlg7Gqttuy1ILxqZmWIaLhQo8E0qAc/LaCD27S45IlTYiIXHMZlFDs0aALFvTUWZorMQo7E5YC6BFbYKmg1TKYK1SjbqmSP8RK3gMSp0IMwMSv71M6pHgWRpK6r0mWBVesxqrSKD+6yjugPt1a47Lxuo3Xtt1qM0vUe3DiXd1MGtQ/5bLrYqsO4VwE63WZd1CW0VTlZhus4l7/2jpZcce7FZy4JstP+1zCVgWU6992PAabntrmh1tevqtQyrr4Kq6Kp4fQ2C4FVOS31dpdT3yLp10N8g+4temWtfXbYCj3xOG+Es3ac8dLdpjNIGiJ1uByZOzHFO70OHJ+L4h4UcrcKJGx2AgRf0DvISBAcgjWTrdIDMtjbJaJqgiUsbbTl3I4iozjA4jcUpHC5ssR0UFA8h5BgtzfVIGnVg6taGQOuAFnDQtsCMYD0YjF0hIb4ZRPUwrUa3EqY6oBl33sQSobbZcEtnzJ0kKpDzEuenMhc0lnZEpk2Cp2qwr8DDP5OaPfU0ANxENdVFkygnOhezFmFNktLiKvqOgOqSBEWospEuJOoweE+NVVuGZDj0ZEuCZN4Sj0GntI3QTiTVM/MwMNAxCihFYPWpxT83tKZMtaK61UDlIYrirIajyCBpV1jMMqIWpGhGEQm4IZIXhRvVEURUyyFY/GENJSu7KzuM4LLKD371W7cB17yRyHpKdpTkvXHoasDKt3bbXBSVjayPmFDoISXINDMXigwQDJ2SuM7DsipeGyu2Zy2tNF7BCESOgaf4Ixp1AxQHgmKJAMyeJhZVQKBSabFcGLOHErP0NNyCpWMQchVQBvPvAA5YQdx6GyNh7L5gDvjozMLk2BBe/MmHBs8zAcoylaDa120SUs4P+IwI14Dt8mrMIafljS5jhno1XMSJRFsHRa1CaB3EBe2qZjcIHC6DA8PDw3jsJ6bzMQecQ0TCQDPAGrAdVDqLKwucmtnOHtRSicIMglwSxYYpRdtIFPW83UHu4lQLdK1AMocFaxN0iZGhtaToJnNlYWbtlmZmFcOBBXaw4fGRkXEcCIYaRxcW5xeyz6VwmG0HVynzSNTFcBb9VSpXMatTqebCHoJ6PkJEic+WoIlOnuzeItpH02LEURBVc0QHMXWjCj5SllcaM/NLzWZzfmFq9/bRqYmdp4yOTo7NHjoxf3x2eXGJb4itLFgEyXkvNnBMHt+F23+H4WVhlgOGh541XvKh5Fu9uOoNobZVRf6RVQSJgi7zKOJUm0MLH+hjkxPD46NziwPzTXwy8HEu8oodwPuqdRCQ8KPX0O3rjNFgSRb9wpWrBZZ/BzJ+gMi+/zMDfXuUPs0NsIAC/wZtuiaVpnv0DVESMoBqW7kihlVCVQhOAlNhFwErgaqYEQ1CfGnRY6mq9MoxW7kKuqEmPcdTwOuyCbdcQhTWWvf16tz3ZN2T0boXxhz2EmsvNj2kt0HDtstI16kYXUa1pb5Vge+MCvinyIZ/jrSsZgywpcbGCh4dh1HWqMdKmtmj8TiMmHvMeQ2H1MZHsIbJlKBqDYvNXQJExyyyII2qlVmpHn1gZIE5+FoM6xJoHwIPkGtdyYrYwarrpcI6BFp3uwYQtVzFCQQS+oU45xiZaDkCsSnB2TNPoHXNxzV5Ku3/fNJLLQLZpAmlK3iXI95ERZxQzYABvWRRoc0Wa+rbvCsxiZeoipQLPuoMTxoTPmcOpEyxBeS2hDJzqKcLMfhHHjwKQbipEmWMgYsRQqNrMuKfrl3IMYsFGIQDdCmE6LElxzyayDSCQgpIEOhrJZRgqVkkCFhIQskXvRk6cdPFPEDLixJq49gWTcTMY8S4ACgcGgXCOd6MkSIsaiO+WAELh9WjcjAQuBfKNGyM+HAxtaCsirqW1NLQAj/ZBjHsrdzwrcgCEBSsYuokZhVMEhTGCnMGobk5kRxmhgku0+H+Aw0iGE66piAHLt3UR6SrAohC1tczCbOHOVyLgM4ykxwFvqK1tUYPQi6lrYEtEFsBIxI5vFy0ckoPjAlraHIlImdV1aCi0ETIzrMFmMWcmlmdCU43yCBXYQ8r7W7vHzgpxGMjzTtOUFQVKpE9LEXFUvn4SeSmJYsQRozHZGEN2GzHYLYsPW1AZ4ACAROIIG046RHQhClXIuNVyWiDxUprtAyOzjVP2TWO+V++LBDzrF6xoGHbKsAqXt6qTsvdVYN5jTj/i4plhakArgaoUGzJ8kgq5dWyam4E6CCOepGAQSnH7kFQJ0zjoWB4hm/2GlcNIO/cepiZVlVc1eMkplJNREgjEJPyjexqqxZcKxVso3kkogU4phY4ZZUgiduoYkQIMsrbE6uzbo8dpKmPkJ7xoiSo1triMIeXuW6fHB4bWZxvNufmlxaXeSAK2LVAUiUPQ1+CuqxfhKlIpYIV1esRFQgVrHZYXaoXoKI1iFxhoqBg4M0O4szIcGN7ebk5t4TnwC/OL07t3oZXAmM9gje+j400js3g5mBMEuPQGtWzXSljVVOYPB6dHJ3YNolBMoe3Ds838COCalXj1s4ggEQDTyn3yRiU2m0jQDulljK37gKEqhXqFayWTjsIuoLCdwZ8oo+Poq+b083Gkn2WVkVYGTZC4QDlt8zoFoxIByJsFXpsgNB5EbmgeSCwf2yF7yAOR054zgvpYGqHIH69wz8ulFAsKsEhL4KSUlurjCQKzbG2hBLvFGBPyMwCCFl5dk5HeJA7bCDkI8z+wmBZcqxKS660JWmB0S6QguqaNhm4JbmmsN2AbYD7DXDZTUVWrbt+o+lRUMn1K8aq+20LYKsCWxVY0wps7f1rVc51r+S6OyxXSiFsgjjKkQVOT8H1ZBQ8tt92B92ddnvPGyp9dCWykdHW851oJeQadnERtdheQ1dFqHV0pZNf82dn+3bZD+fLYQqxdOaqS4M6qfVTX4RvVoHwuQqevGtxTJ3mxydluSi7UmAMX+P6BYxtVkQxyodO46khRJ2axpNou1YRopW95yUD4TLqMAGk4IATAXxOh+jZ5QJO1YQ0KBGMbRQfZ7WIwYC4QupUMUeePhkgkxY50uHGMcUza5HOphf+yVx+6CJi+ZWRLAna0jv/DNLRMjeRIuHl4IxUUOfFFpp7LoEtXmw4QXPhGYE1BGQ5GoW6eCN+4AZjbK1yZMQADE86QPHMhUlQIUroqxh3ymxDZ5EpMGnKpSjLJ8NkKlmL0XAYG5O5peYZCmvFBSXk+ImjKBImbrcWcuK5pJuNS8ahILMA1J9WuhALCydFB/UpTLHMEIIMwfyJxRVHgwaiHDlE8Gu4ZkFaFKCMiMpRoT0RugUJeunDVnbOs5EQOBYbDOI4MUn0xGhkqQ5lSFaPqGCE47BhI8HlZiAEHlqIRCCquQY3rB5EQjYldX2MOFVlDxkqQwtHGSJocVFEZ15awh3AwY9xuRZHQUWUTNiKml3ARMDy5NgIbgLG3MBis2lptNJfG35MK1e+PDZ+zLO0jP8ok+4BHl7BAyTKSwZVltXmsCdaFa3aQTXXHLaT1Q+ptqYryms4/mK04CY/PAg2tw/WC0wHllbVyA/4WjGmXo0WeMquhROUYA3baB6JIC9va6ho93FLqMNH6wqUHYATfRjRpXUlZJ4ZHZgzHDHkI2XnDeq0YI2fVwyNDY9PTeB3A9NHpnH7L48kPSzRyMy7L6H5jDBZCBWsTNiZMnOsvVN6gkuNMqjOzqERTY3wwkRuO4xaSpmDAhQ+qvAxs7RstwKjZyf37cBNwLvP2Ds7MTpzeGZxroFDRPxosVC9SAWotImfmAwPTezahvnFxQZ+MbCwtLCEwZOqOF0v/JJhYmYk1p3DKsH0xHDfSQhtYTrptYy8k2HBa1fqeP7zyNDI+PDg6DBe/Du/iI8CTEOmFXQ42yTYgbQxym8ogZMNY3IybiCNAzszUdM0M91ImSDC6IARhQER37NCyJBFsTFj0+skx0a7CBs3J4NWGUdokvpRlMIopr4WGYZG9TacCQBf3/Sl5X4zi4iYsXJUcF1laLxOCDm4NW6Uolpj/P7CbWTl+puZo4fB05Oz9ejbVQXYU1ZdG61HGboOastgqwKP+gps7sPvukS3Oiers17P8bPuB9FNURoEse6Jp73atghthSlKpM1iQzOKsRhRK4daSilw1wap8VrQGxJAldMSr8RYi3RrYmyk73yIve4CvWaQ2MF10sqH1XUrIIVtGYDnsEGqiQg2lH7gZke4KCJM0gBpMxRGpNcNUofk21wHtKPTVCPSsf4296S1hJhTIYrXyGEYSpiYkYTmEYIkA4NHixK0C23CSOa6WmYaVDZngVDLVjLNzF035UrPrqslszzkRmAnzbHj2gbrAB4Z5JHpgowPJ5xIkq+IHSIKaomTABDBQh1yOixqKIRd2WDgWIK5I4dmRENWFkoCF6yyQWZI3heZpqPl9QhIx9mIYjszskiKbY8vbFKxDxiJDCpK3ZFbBb+MP4sJXGu4bXaRKkTlaaDDACxIElgq4nZX5Y3HFEMrawgu2YXoKaqbRzbpVJm4VGpuFmjJWeBoL3de+UBTO3GhVuTw8mIWTBiO2e6m4ZuHjwAlIqkxBzeSULFBMQbPJlhFlum19ZH2HeylawaWHIcZF/nL1cNhoea9L72gAqnCcGttsN8w/WJRzc7WcupDiwX0IFIV0MiX8XgE/g7ggo43qwFSXQIFJOYysLi0cnxuERPAo2PDeBNwc6FZqG9qvQZ04rwOGt5jizlgzlENDWE6OGeSQeXY3TVaglQLqrnmsp0sCQpq7fupJk4GqV3Emhhv6j+wOLBixTphdpILvZZSFlZysIiWNuRTne5pA4uQbQHyWmiVSs/i2WIEFEo6QaN6Wwao1qvgKiCtKoSRFR2Qo8ZalNHgV/Co2KEJzP6OjuK9v3j7by+3/8YAmYodpWPwXRARxm2K7S6gcqqMqutezRDM3NrdQKXh5+wygbEzV3kq08vzk1YNFea+srw4v4xHPzfmGjtP2zM2NcaHQk+Ozx6dnj14AgeK4g2QiYcCid0Fn0a4WXx8+zjeKjtzdJpvji/f/lsnsAI0mz2aVSD1xKL7uiG01WsrVGi1DzKdoSpSHR7l858xATy9MDDdiLO/HAruHVuFUBEHPkFMMehkVjSvsEgjMFOdlpCN54zLJX8bin+k8QOC5GsRRp8QHVYfYMGLSWDC0wraSBClxNeCH9CZF7YsgKBMEzJtA4oH/JCglLlyacanDb3rj43qRbsDtIgPVZ5h0r/lYo+Ajs0CggwKvKqmYYUIqzTWg2d5rYenVj68Dq3E7fi9mvZq1y6Wfsk2d6wbP3xq1n1zl7FmEltqWxXY4Ar4B2r4KNzgaKrdxxirxWvGXcUx5VFz3FzF95Meu2ETlEaR9xj+mo2utkA9Db3NlNEm6OW2Ba4nZEWzqhrVU9fUc9daC06zOFqrrYlk3RytSbR5kA2IPRkPa+pduEBM8PO5osVhARX6pVo8H04U3Vwb6nHS0cVsctGpe2ptGkQOC0+weWFabvxUPBEHNcg1WYs2z/upTS06TOdCTJ1Cx/CQdJ3AXJiKxxYvJ4TQPQNeXHAII+mk9aIwIA7WJAOvZGVQio9hJbgik3bJ1BM2fmtFdoSFTwJG/MvAkJi3EiZJNau6mrZMyDrKMMFSDglGzhO1vAjSI0ZxkdyZijFqRoLSVE3aiZTVTJpFsdrFVVGfEGHAQDfJKNFkEHG4UCnUQzRtiMEt/zwm6mSApYJUBU/j0uJxJFglFWMAMU3FYkl0FZ8CjExip2ZOMxclGRVjIuqPPEiqxGpaAWLfeB/FfFXxlggJWEI6Ji+qWa0ZdiLPkUyKWaVjg82weJEsdzKNkSlEQ7cSYLAubA1XCGGEOFCwCp5bxVPoM1kbLyCYyzSFyAl3AIORjOJCjBVNDld5wjoxBOvY7MLuqdEdfJ/jsHrS06kAWQ0ryy2jOuNJlw+BHh5cWpR6N9bt8FviVAuquXDQUtDOebWsa6iiAefJh0exwtt/l5qLdWIrQlRGVkupbGlmGE4aUT2CJLCAAUg9nM5amQaoEGTirRZpIKsA6OQlFyWVM0Yn0/Zy4eDLAp7/PDY5joPD/ImZmmOmApgV4IdIb0sup1yjNzxZRZwsqshiFTN2RyfRrgsbgkYvbhdxOnjspNdGHl0WXDCClYWZxpH9B7adtHPbnh1j28bHJkbHt00ee/Dw4txCQb2ySbc8FA+PbhsfnRhfWlxcwGuG8ZgB/0ysNKrJLKVkjFhwNWOrA2hdvQwm+UjMmC2oUqipXllY5lAf3LZRVlulnlrSwB0cHhmZGh8aHWlin14KJ0QQOKw2YcWtiwJL2DQjQ0xosEZGG9tpi4MN/jnQMho6HvBHW/zuYV86SJlG/BKkykcoHET01ArO+MLEDykWh3vAxsDkEFr4ph4VoohafLh0QHav4OHUFUwLA1xxXC0oO1PCtqtoQETFwxXDttlfgtMjheUlWpuoUof2AbmMsC4ci2BdXPXHyaM+gRpl6T3H6mFXw2V3Kr0H2J2f1Wk/OqJcXY5b1lsV6GsFsBNt+mW9YlyFn1WYbvryhwB7z7F3y+B7DbYbHURb/22FrZLvyagVWInfNXotg1pKaSxdG6TGPdIb4bMUalUQVbySYbeMVYCuwrTbKGvrr0NMwUXY1o6tg6Lw6oDqRLwlWAmBpw3GzEQ6z/UmTuADRc3sHUt2voFz+7YnHrClPMwDKy5NdYoqrsLlBednsUVFBmMZ6sIC+AX3cSoNfAbeNj6lZmf1upiQ1s5wU4758mrEiEhU8ZLAFEfOAA3i8+oFQwxegs+2NTU0mRMi2BJJeBGEHC3iZNdQitHG8GyWXoCZTogxgOW2mRrZ+VZOMWnYJaGEYWQ947yZxkDBMGuGibeMY9Zm5VyrloWeXH4Ko55iaXJlgIlWPprKVl1tOKKLtDflkaAcoR4um1y8SSszSa5NFVTNwJCDmWdddBcHYvTB3T+LCTtJNbj7qNrgtqRKdp7pARE9uCPLveecJvHkMZJWoqNLkNWihFtFKpDMtfd+CC9aJL7IU9hR6Hkl6fko+v8kECRhd/diAwAAAABJRU5ErkJggg==" alt="2023 tutorial banner"></p>
+<h1 id="practice-exercises---community-analysis-pipeline-cap" ebook-toc-level-1="" heading="Practice Exercises - Community Analysis Pipeline (CAP) ">Practice Exercises - Community Analysis Pipeline (CAP) </h1>
+<p><img 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" alt="GCM workflow"></p>
+<p>CAP is a Python toolkit designed to simplify post-processing and plotting MGCM output. CAP consists of five Python executables:</p>
+<ol>
+<li><code>MarsPull.py</code>  → accessing MGCM output</li>
+<li><code>MarsFiles.py</code>  → reducing the files</li>
+<li><code>MarsVars.py</code>  → performing variable operations</li>
+<li><code>MarsInterp.py</code>  → interpolating the vertical grid</li>
+<li><code>MarsPlot.py</code>  → plotting MGCM output</li>
+</ol>
+<p>The following exercises are organized into two parts by function. We will go through <strong>Part I on Monday Nov. 13</strong> and <strong>Part II on Tuesday Nov. 14</strong>.</p>
+<p><strong><a href="#part-i-file-manipulations">Part I: File Manipulations</a> → <code>MarsFiles.py</code>, <code>MarsVars.py</code>, &amp; <code>MarsInterp.py</code></strong></p>
+<p><strong><a href="#part-ii-plotting-with-cap">Part II: Plotting with CAP</a> → <code>MarsPlot.py</code></strong></p>
+<blockquote>
+<p>We will not be going over <code>MarsPull.py</code> because it is specifically for retrieving MGCM data from the online MGCM data repository. Instructions for <code>MarsPull.py</code> was covered in the <a href="https://github.com/NASA-Planetary-Science/AmesCAP/blob/master/tutorial/CAP_Install.md">2021 Legacy Version Tutorial</a>.</p>
+</blockquote>
+<hr>
+<h2 id="table-of-contents" ebook-toc-level-2="" heading="Table of Contents ">Table of Contents </h2>
+<ul>
+<li><a href="#practice-exercises---community-analysis-pipeline-cap">Practice Exercises - Community Analysis Pipeline (CAP)</a>
+<ul>
+<li><a href="#table-of-contents">Table of Contents</a></li>
+<li><a href="#activating-cap">Activating CAP</a>
+<ul>
+<li><a href="#following-along-with-the-tutorial">Following Along with the Tutorial</a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li><a href="#part-i-file-manipulations">Part I: File Manipulations</a>
+<ul>
+<li><a href="#1-marsplots---inspect-function">1. MarsPlot's <code>--inspect</code> Function</a></li>
+<li><a href="#2-editing-variable-names-and-attributes">2. Editing Variable Names and Attributes</a></li>
+<li><a href="#3-splitting-files-in-time">3. Splitting Files in Time</a></li>
+<li><a href="#4-deriving-secondary-variables">4. Deriving Secondary Variables</a></li>
+<li><a href="#5-time-shifting-diurn-files">5. Time-Shifting <code>Diurn</code> Files</a></li>
+<li><a href="#6-pressure-interpolating-the-vertical-axis">6. Pressure-Interpolating the Vertical Axis</a></li>
+</ul>
+</li>
+<li><a href="#optional-use-the-answer-key-for-part-i">Optional: Use the Answer Key for Part I</a></li>
+<li><a href="#cap-practical-day-2">CAP Practical Day 2</a></li>
+<li><a href="#part-ii-plotting-with-cap">Part II: Plotting with CAP</a>
+<ul>
+<li><a href="#step-1-creating-the-template-customin">Step 1: Creating the Template (<code>Custom.in</code>)</a></li>
+<li><a href="#step-2-editing-customin">Step 2: Editing <code>Custom.in</code></a></li>
+<li><a href="#step-3-generating-the-plots">Step 3: Generating the Plots</a></li>
+</ul>
+</li>
+<li><a href="#custom-set-1-of-4-zonal-mean-surface-plots-over-time">Custom Set 1 of 4: Zonal Mean Surface Plots Over Time</a></li>
+<li><a href="#custom-set-2-of-4-global-mean-column-integrated-dust-optical-depth-over-time">Custom Set 2 of 4: Global Mean Column-Integrated Dust Optical Depth Over Time</a></li>
+<li><a href="#custom-set-3-of-4-50-pa-temperatures-at-3-am-and-3-pm">Custom Set 3 of 4: 50 Pa Temperatures at 3 AM and 3 PM</a></li>
+<li><a href="#custom-set-4-of-4-zonal-mean-circulation-cross-sections">Custom Set 4 of 4: Zonal Mean Circulation Cross-Sections</a></li>
+</ul>
+<hr>
+<h2 id="activating-cap" ebook-toc-level-2="" heading="Activating CAP ">Activating CAP </h2>
+<p>Activate the <code>amesCAP</code> virtual environment to use CAP:</p>
+<pre data-role="codeBlock" data-info="bash" class="language-bash bash"><code><span class="token punctuation">(</span>cloud<span class="token punctuation">)</span>~$ <span class="token builtin class-name">source</span> ~/amesCAP/bin/activate
+<span class="token punctuation">(</span>amesCAP<span class="token punctuation">)</span>~$
+</code></pre><p>Confirm that CAP's executables are accessible by typing:</p>
+<pre data-role="codeBlock" data-info="bash" class="language-bash bash"><code><span class="token punctuation">(</span>amesCAP<span class="token punctuation">)</span>~$ MarsVars.py <span class="token parameter variable">-h</span>
+</code></pre><p>The <code>--help [-h]</code> argument prints documentation for the executable to the terminal. Now that we know CAP is configured, make a copy of the file <code>amescap_profile</code> in your home directory, and make it a hidden file:</p>
+<pre data-role="codeBlock" data-info="bash" class="language-bash bash"><code><span class="token punctuation">(</span>amesCAP<span class="token punctuation">)</span>~$ <span class="token function">cp</span> ~/amesCAP/mars_templates/amescap_profile ~/.amescap_profile
+</code></pre><p>CAP stores useful settings in <code>amescap_profile</code>. Copying it to our home directory ensures it is not overwritten if CAP is updated or reinstalled.</p>
+<h3 id="following-along-with-the-tutorial" ebook-toc-level-3="" heading="Following Along with the Tutorial ">Following Along with the Tutorial </h3>
+<p><strong>Part I covers file manipulations</strong>. Some exercises build off of previous exercises so <em>it is important to complete them in order</em>. If you make a mistake or get behind in the process, you can go back and catch up during a break or use the provided answer key before continuing on to Part II.</p>
+<p><strong>Part II demonstrates CAP's plotting routine</strong>. There is more flexibility in this part of the exercise.</p>
+<p><strong>We will perform every exercise together.</strong></p>
+<blockquote>
+<p><em>Feel free to <strong>put questions in the chat</strong> throughout the tutorial. Another MGCM member can help you as we go.</em></p>
+</blockquote>
+<p><em><a href="#table-of-contents">Return to Top</a></em></p>
+<h1 id="part-i-file-manipulations" ebook-toc-level-1="" heading="Part I: File Manipulations ">Part I: File Manipulations </h1>
+<p>CAP has dozens of post-processing capabilities. We will go over a few of the most commonly used functions in this tutorial. We will cover:</p>
+<ul>
+<li><strong>Interpolating</strong> data to different vertical coordinate systems (<code>MarsInterp.py</code>)</li>
+<li><strong>Adding derived variables</strong> to the files (<code>MarsVars.py</code>)</li>
+<li><strong>Time-shifting</strong> data to target local times (<code>MarsFiles.py</code>)</li>
+<li><strong>Trimming</strong> a file to reduce its size (<code>MarsFiles.py</code>).</li>
+</ul>
+<p>The required MGCM output files are already loaded in the cloud environment under <code>tutorial_files/cap_exercises/</code>. Change to that directory and look at the contents:</p>
+<pre data-role="codeBlock" data-info="bash" class="language-bash bash"><code><span class="token punctuation">(</span>amesCAP<span class="token punctuation">)</span>~$ <span class="token builtin class-name">cd</span> tutorial_files/cap_exercises
+<span class="token punctuation">(</span>amesCAP<span class="token punctuation">)</span>~$ <span class="token function">ls</span>
+03340.atmos_average.nc  03340.backup.zip  part_1_key.sh
+03340.atmos_diurn.nc    03340.fixed.nc    part_2_plots.in
+</code></pre><p>The three MGCM output files have a 5-digit sol number appended to the front of the file name. The sol number indicates the day that a file's record begins. These contain output from the sixth year of a simulation. The zipped file is an archive of these three output files in case you need it.</p>
+<p>The other two files, <code>part_1_key.sh</code> and <code>part_2_plots.sh</code> are discussed later. We can ignore them for now.</p>
+<blockquote>
+<p><em>The output files we manipulate in Part I will be used to generating plots in Part II so do <strong>not</strong> delete any file you create!</em></p>
+</blockquote>
+<p>Let's begin the tutorial.</p>
+<h2 id="1-marsplots--inspect-function" ebook-toc-level-2="" heading="1. MarsPlot's <code>--inspect</code> Function ">1. MarsPlot's <code>--inspect</code> Function </h2>
+<p>The inspect function is part of <code>MarsPlot.py</code> and it prints netCDF file contents to the screen.</p>
+<p>To use it on the <code>average</code> file, <code>03340.atmos_average.nc</code>, type the following in the terminal:</p>
+<pre data-role="codeBlock" data-info="bash" class="language-bash bash"><code><span class="token punctuation">(</span>amesCAP<span class="token punctuation">)</span>~$ MarsPlot.py <span class="token parameter variable">-i</span> 03340.atmos_average.nc
+</code></pre><blockquote>
+<p>This is a good time to remind you that if you are unsure how to use a function, invoke the <code>--help [-h]</code> argument with any executable to see its documentation (e.g., <code>MarsPlot.py -h</code>).</p>
+</blockquote>
+<p><em><a href="#part-i-file-manipulations">Return to Part I</a></em></p>
+<hr>
+<h2 id="2-editing-variable-names-and-attributes" ebook-toc-level-2="" heading="2. Editing Variable Names and Attributes ">2. Editing Variable Names and Attributes </h2>
+<p>In the previous exercise, <code>--inspect [-i]</code> revealed a variable called <code>opac</code> in <code>03340.atmos_average.nc</code>. <code>opac</code> is dust opacity per pascal and it is similar to another variable in the file, <code>dustref</code>, which is opacity per (model) level. Let's rename <code>opac</code> to <code>dustref_per_pa</code> to better indicate the relationship between these variables.</p>
+<p>We can modify variable names, units, longnames, and even scale variables using the <code>-edit</code> function in <code>MarsVars.py</code>. The syntax for editing the variable name is:</p>
+<pre data-role="codeBlock" data-info="bash" class="language-bash bash"><code><span class="token punctuation">(</span>amesCAP<span class="token punctuation">)</span>~$ MarsVars.py 03340.atmos_average.nc <span class="token parameter variable">-edit</span> opac <span class="token parameter variable">-rename</span> dustref_per_pa
+03340.atmos_average_tmp.nc was created
+03340.atmos_average.nc was updated
+</code></pre><p>We can use <code>--inspect [-i]</code> again to confirm that <code>opac</code> was renamed <code>dustref_per_pa</code>:</p>
+<pre data-role="codeBlock" data-info="bash" class="language-bash bash"><code><span class="token punctuation">(</span>amesCAP<span class="token punctuation">)</span>~$ MarsPlot.py <span class="token parameter variable">-i</span> 03340.atmos_average.nc
+</code></pre><p>The <code>--inspect [-i]</code> function can also <strong>print a summary of the values</strong> of a variable to the screen. For example:</p>
+<pre data-role="codeBlock" data-info="bash" class="language-bash bash"><code><span class="token punctuation">(</span>amesCAP<span class="token punctuation">)</span>~$ MarsPlot.py <span class="token parameter variable">-i</span> 03340.atmos_average.nc <span class="token parameter variable">-stat</span> dustref_per_pa
+_________________________________________________________
+  VAR           <span class="token operator">|</span>   MIN     <span class="token operator">|</span>    MEAN     <span class="token operator">|</span>    MAX      <span class="token operator">|</span>
+________________<span class="token operator">|</span>___________<span class="token operator">|</span>_____________<span class="token operator">|</span>_____________<span class="token operator">|</span>
+  dustref_per_pa<span class="token operator">|</span>          <span class="token number">0</span><span class="token operator">|</span>  <span class="token number">0.000384902</span><span class="token operator">|</span>    <span class="token number">0.0017573</span><span class="token operator">|</span>
+________________<span class="token operator">|</span>___________<span class="token operator">|</span>_____________<span class="token operator">|</span>_____________<span class="token operator">|</span>
+</code></pre><p>Finally, <code>--inspect [-i]</code> can <strong>print the values</strong> of a variable to the screen. For example:</p>
+<pre data-role="codeBlock" data-info="bash" class="language-bash bash"><code><span class="token punctuation">(</span>amesCAP<span class="token punctuation">)</span>~$ MarsPlot.py <span class="token parameter variable">-i</span> 03340.atmos_average.nc <span class="token parameter variable">-dump</span> lat
+<span class="token assign-left variable">lat</span><span class="token operator">=</span> 
+<span class="token punctuation">[</span>-89. -87. -85. -83. -81. -79. -77. -75. -73. -71. -69. -67. -65. -63.
+ -61. -59. -57. -55. -53. -51. -49. -47. -45. -43. -41. -39. -37. -35.
+ -33. -31. -29. -27. -25. -23. -21. -19. -17. -15. -13. -11.  -9.  -7.
+  -5.  -3.  -1.   <span class="token number">1</span>.   <span class="token number">3</span>.   <span class="token number">5</span>.   <span class="token number">7</span>.   <span class="token number">9</span>.  <span class="token number">11</span>.  <span class="token number">13</span>.  <span class="token number">15</span>.  <span class="token number">17</span>.  <span class="token number">19</span>.  <span class="token number">21</span>.
+  <span class="token number">1</span>.   <span class="token number">25</span>.  <span class="token number">27</span>.  <span class="token number">29</span>.  <span class="token number">31</span>.  <span class="token number">33</span>.  <span class="token number">35</span>.  <span class="token number">37</span>.  <span class="token number">39</span>.  <span class="token number">41</span>.  <span class="token number">43</span>.  <span class="token number">45</span>.  <span class="token number">47</span>.  <span class="token number">49</span>.
+  <span class="token number">2</span>.   <span class="token number">53</span>.  <span class="token number">55</span>.  <span class="token number">57</span>.  <span class="token number">59</span>.  <span class="token number">61</span>.  <span class="token number">63</span>.  <span class="token number">65</span>.  <span class="token number">67</span>.  <span class="token number">69</span>.  <span class="token number">71</span>.  <span class="token number">73</span>.  <span class="token number">75</span>.  <span class="token number">77</span>.
+  <span class="token number">3</span>.   <span class="token number">81</span>.  <span class="token number">83</span>.  <span class="token number">85</span>.  <span class="token number">87</span>.  <span class="token number">89</span>.<span class="token punctuation">]</span>
+</code></pre><p><em><a href="#part-i-file-manipulations">Return to Part I</a></em></p>
+<hr>
+<h2 id="3-splitting-files-in-time" ebook-toc-level-2="" heading="3. Splitting Files in Time ">3. Splitting Files in Time </h2>
+<p>Next we're going to trim the <code>diurn</code> and <code>average</code> files by L<span class="katex"><span class="katex-mathml"><math xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><msub><mrow></mrow><mi>s</mi></msub></mrow><annotation encoding="application/x-tex">_s</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="base"><span class="strut" style="height:0.3014em;vertical-align:-0.15em;"></span><span class="mord"><span></span><span class="msupsub"><span class="vlist-t vlist-t2"><span class="vlist-r"><span class="vlist" style="height:0.1514em;"><span style="top:-2.55em;margin-right:0.05em;"><span class="pstrut" style="height:2.7em;"></span><span class="sizing reset-size6 size3 mtight"><span class="mord mathnormal mtight">s</span></span></span></span><span class="vlist-s">​</span></span><span class="vlist-r"><span class="vlist" style="height:0.15em;"><span></span></span></span></span></span></span></span></span></span>. We'll create files that only contain data around southern summer solstice, L<span class="katex"><span class="katex-mathml"><math xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><msub><mrow></mrow><mi>s</mi></msub></mrow><annotation encoding="application/x-tex">_s</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="base"><span class="strut" style="height:0.3014em;vertical-align:-0.15em;"></span><span class="mord"><span></span><span class="msupsub"><span class="vlist-t vlist-t2"><span class="vlist-r"><span class="vlist" style="height:0.1514em;"><span style="top:-2.55em;margin-right:0.05em;"><span class="pstrut" style="height:2.7em;"></span><span class="sizing reset-size6 size3 mtight"><span class="mord mathnormal mtight">s</span></span></span></span><span class="vlist-s">​</span></span><span class="vlist-r"><span class="vlist" style="height:0.15em;"><span></span></span></span></span></span></span></span></span></span>=270. This greatly reduces the file size to make our next post-processing steps more efficient.</p>
+<p>Syntax for trimming files by L<span class="katex"><span class="katex-mathml"><math xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><msub><mrow></mrow><mi>s</mi></msub></mrow><annotation encoding="application/x-tex">_s</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="base"><span class="strut" style="height:0.3014em;vertical-align:-0.15em;"></span><span class="mord"><span></span><span class="msupsub"><span class="vlist-t vlist-t2"><span class="vlist-r"><span class="vlist" style="height:0.1514em;"><span style="top:-2.55em;margin-right:0.05em;"><span class="pstrut" style="height:2.7em;"></span><span class="sizing reset-size6 size3 mtight"><span class="mord mathnormal mtight">s</span></span></span></span><span class="vlist-s">​</span></span><span class="vlist-r"><span class="vlist" style="height:0.15em;"><span></span></span></span></span></span></span></span></span></span> is:</p>
+<pre data-role="codeBlock" data-info="bash" class="language-bash bash"><code><span class="token punctuation">(</span>amesCAP<span class="token punctuation">)</span>~$ MarsFiles.py 03340.atmos_diurn.nc <span class="token parameter variable">-split</span> <span class="token number">265</span> <span class="token number">275</span>
+<span class="token punctuation">..</span>.
+/home/centos/tutorial_files/cap_exercises/03847.atmos_diurn_Ls265_275.nc was created
+</code></pre><pre data-role="codeBlock" data-info="bash" class="language-bash bash"><code><span class="token punctuation">(</span>amesCAP<span class="token punctuation">)</span>~$ MarsFiles.py 03340.atmos_average.nc <span class="token parameter variable">-split</span> <span class="token number">265</span> <span class="token number">275</span>
+<span class="token punctuation">..</span>.
+/home/centos/tutorial_files/cap_exercises/03847.atmos_average_Ls265_275.nc was created
+</code></pre><p>The trimmed files have the appendix <code>_Ls265_275.nc</code> and the simulation day has changed from <code>03340</code> to <code>03847</code> to reflect that the first day in the file has changed.</p>
+<p>For future steps, we need a <code>fixed</code> file with the same simulation day number as the files we just created, so make a copy of the <code>fixed</code> file and rename it:</p>
+<pre data-role="codeBlock" data-info="bash" class="language-bash bash"><code><span class="token punctuation">(</span>amesCAP<span class="token punctuation">)</span>~$ <span class="token function">cp</span> 03340.fixed.nc 03847.fixed.nc
+</code></pre><p><em><a href="#part-i-file-manipulations">Return to Part I</a></em></p>
+<hr>
+<h2 id="break" ebook-toc-level-2="" heading="Break ">Break </h2>
+<p><strong>Take 15 minutes</strong> to stretch, ask questions, or let us know your thoughts on CAP so far!</p>
+<hr>
+<h2 id="4-deriving-secondary-variables" ebook-toc-level-2="" heading="4. Deriving Secondary Variables ">4. Deriving Secondary Variables </h2>
+<p>The <code>--add</code> function in <code>MarsVars.py</code> derives and adds secondary variables to MGCM output files provided that the variable(s) required for the derivation are already in the file. We will add the meridional mass streamfunction (<code>msf</code>) to the trimmed <code>average</code> file. To figure out what we need in order to do this, use the <code>--help [-h]</code> function on <code>MarsVars.py</code>:</p>
+<pre data-role="codeBlock" data-info="bash" class="language-bash bash"><code><span class="token punctuation">(</span>amesCAP<span class="token punctuation">)</span>~$ MarsVars.py <span class="token parameter variable">-h</span>
+</code></pre><p>The help function shows that streamfunction (<code>msf</code>) requires two things: that the meridional wind (<code>vcomp</code>) is in the <code>average</code> file, and that the <code>average</code> file is <em><strong>pressure-interpolated</strong></em>.</p>
+<p>First, confirm that <code>vcomp</code> is in <code>03847.atmos_average_Ls265_275.nc</code> using <code>--inspect [-i]</code>:</p>
+<pre data-role="codeBlock" data-info="python" class="language-python python"><code><span class="token punctuation">(</span>amesCAP<span class="token punctuation">)</span><span class="token operator">~</span>$ MarsPlot<span class="token punctuation">.</span>py <span class="token operator">-</span>i <span class="token number">03847</span><span class="token punctuation">.</span>atmos_average_Ls265_275<span class="token punctuation">.</span>nc
+<span class="token punctuation">.</span><span class="token punctuation">.</span><span class="token punctuation">.</span>
+vcomp <span class="token punctuation">:</span> <span class="token punctuation">(</span><span class="token string">'time'</span><span class="token punctuation">,</span> <span class="token string">'pfull'</span><span class="token punctuation">,</span> <span class="token string">'lat'</span><span class="token punctuation">,</span> <span class="token string">'lon'</span><span class="token punctuation">)</span><span class="token operator">=</span> <span class="token punctuation">(</span><span class="token number">3</span><span class="token punctuation">,</span> <span class="token number">56</span><span class="token punctuation">,</span> <span class="token number">90</span><span class="token punctuation">,</span> <span class="token number">180</span><span class="token punctuation">)</span><span class="token punctuation">,</span> meridional wind  <span class="token punctuation">[</span>m<span class="token operator">/</span>sec<span class="token punctuation">]</span>
+</code></pre><p>Second, pressure-interpolate the average file using <code>MarsInterp.py</code>. The call to <code>MarsInterp.py</code> requires:</p>
+<ul>
+<li>The interpolation type (<code>--type [-t]</code>), we will use standard pressure coorindates (<code>pstd</code>)</li>
+<li>The grid to interpolate to (<code>--level [-l]</code>), we will use the default pressure grid (<code>pstd_default</code>)</li>
+</ul>
+<blockquote>
+<p>All interpolation types are listed in the <code>--help [-h]</code> documentation for <code>MarsInterp.py</code>. Additional grids are listed in <code>~/.amescap_profile</code>, which accepts user-input grids as well.</p>
+</blockquote>
+<p>We will also specify that only temperature (<code>temp</code>), winds (<code>ucomp</code> and <code>vcomp</code>), and surface pressure (<code>ps</code>) are to be included in this new file using <code>-include</code>. This will reduce the interpolated file size.</p>
+<p>Finally, add the <code>--grid [-g]</code> flag at the end of prompt to print out the standard pressure grid levels that we are interpolating to:</p>
+<pre data-role="codeBlock" data-info="bash" class="language-bash bash"><code><span class="token punctuation">(</span>amesCAP<span class="token punctuation">)</span>~$ MarsInterp.py 03847.atmos_average_Ls265_275.nc <span class="token parameter variable">-t</span> pstd <span class="token parameter variable">-l</span> pstd_default <span class="token parameter variable">-include</span> temp ucomp vcomp <span class="token function">ps</span> <span class="token parameter variable">-g</span>
+<span class="token number">1100.0</span> <span class="token number">1050.0</span> <span class="token number">1000.0</span> <span class="token number">950.0</span> <span class="token number">900.0</span> <span class="token number">850.0</span> <span class="token number">800.0</span> <span class="token number">750.0</span> <span class="token number">700.0</span> <span class="token number">650.0</span> <span class="token number">600.0</span> <span class="token number">550.0</span> <span class="token number">500.0</span> <span class="token number">450.0</span> <span class="token number">400.0</span> <span class="token number">350.0</span> <span class="token number">300.0</span> <span class="token number">250.0</span> <span class="token number">200.0</span> <span class="token number">150.0</span> <span class="token number">100.0</span> <span class="token number">70.0</span> <span class="token number">50.0</span> <span class="token number">30.0</span> <span class="token number">20.0</span> <span class="token number">10.0</span> <span class="token number">7.0</span> <span class="token number">5.0</span> <span class="token number">3.0</span> <span class="token number">2.0</span> <span class="token number">1.0</span> <span class="token number">0.5</span> <span class="token number">0.3</span> <span class="token number">0.2</span> <span class="token number">0.1</span> <span class="token number">0.05</span>
+</code></pre><p>To perform the interpolation, simply omit the <code>--grid [-g]</code> flag:</p>
+<pre data-role="codeBlock" data-info="bash" class="language-bash bash"><code><span class="token punctuation">(</span>amesCAP<span class="token punctuation">)</span>~$ MarsInterp.py 03847.atmos_average_Ls265_275.nc <span class="token parameter variable">-t</span> pstd <span class="token parameter variable">-l</span> pstd_default <span class="token parameter variable">-include</span> temp ucomp vcomp <span class="token function">ps</span>
+<span class="token punctuation">..</span>.
+/home/centos/tutorial_files/cap_exercises/03847.atmos_average_Ls265_275_pstd.nc was created
+</code></pre><p>Now we have a pressure-interpolated <code>average</code> file with <code>vcomp</code> in it. We can derive and add <code>msf</code> to it using <code>MarsVars.py</code>:</p>
+<pre data-role="codeBlock" data-info="bash" class="language-bash bash"><code><span class="token punctuation">(</span>amesCAP<span class="token punctuation">)</span>~$ MarsVars.py 03847.atmos_average_Ls265_275_pstd.nc <span class="token parameter variable">-add</span> msf
+Processing: msf<span class="token punctuation">..</span>.
+msf: Done
+</code></pre><p><em><a href="#part-i-file-manipulations">Return to Part I</a></em></p>
+<hr>
+<h2 id="5-time-shifting-diurn-files" ebook-toc-level-2="" heading="5. Time-Shifting <code>Diurn</code> Files ">5. Time-Shifting <code>Diurn</code> Files </h2>
+<p>The <code>diurn</code> file is organized by time-of-day assuming <em><strong>universal</strong></em> time starting at the Martian prime meridian. The time-shift <code>--tshift [-t]</code> function interpolates the <code>diurn</code> file to <em><strong>uniform local</strong></em>  time. This is especially useful when comparing MGCM output to satellite observations in fixed local time orbit.</p>
+<p>Time-shifting can only be done on files with a local time dimension (<code>time_of_day_24</code>, i.e. <code>diurn</code> files). By default, <code>MarsFiles.py</code> time shifts all of the data in the file to 24 uniform local times and this generates very large files. To reduce file size and processing time, we will time-shift the data only to the local times we are interested in: 3 AM and 3 PM.</p>
+<p>Time-shift the temperature (<code>temp</code>) and surface pressure (<code>ps</code>) in the trimmed <code>diurn</code> file to 3 AM / 3 PM local time like so:</p>
+<pre data-role="codeBlock" data-info="bash" class="language-bash bash"><code><span class="token punctuation">(</span>amesCAP<span class="token punctuation">)</span>~$ MarsFiles.py 03847.atmos_diurn_Ls265_275.nc <span class="token parameter variable">-t</span> <span class="token string">'3. 15.'</span> <span class="token parameter variable">-include</span> temp <span class="token function">ps</span>
+<span class="token punctuation">..</span>.
+/home/centos/tutorial_files/cap_exercises/03847.atmos_diurn_Ls265_275_T.nc was created
+</code></pre><p>A new <code>diurn</code> file called <code>03847.atmos_diurn_Ls265_275_T.nc</code> is created. Use <code>--inspect [-i]</code> to confirm that only <code>ps</code> and <code>temp</code> (and their dimensions) are in the file and that the <code>time_of_day</code> dimension has a length of 2:</p>
+<pre data-role="codeBlock" data-info="python" class="language-python python"><code><span class="token punctuation">(</span>amesCAP<span class="token punctuation">)</span><span class="token operator">~</span>$ MarsPlot<span class="token punctuation">.</span>py <span class="token operator">-</span>i <span class="token number">03847</span><span class="token punctuation">.</span>atmos_diurn_Ls265_275_T<span class="token punctuation">.</span>nc
+<span class="token punctuation">.</span><span class="token punctuation">.</span><span class="token punctuation">.</span>
+<span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span>CONTENT<span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span>
+time           <span class="token punctuation">:</span> <span class="token punctuation">(</span><span class="token string">'time'</span><span class="token punctuation">,</span><span class="token punctuation">)</span><span class="token operator">=</span> <span class="token punctuation">(</span><span class="token number">3</span><span class="token punctuation">,</span><span class="token punctuation">)</span><span class="token punctuation">,</span> sol number  <span class="token punctuation">[</span>days since <span class="token number">0000</span><span class="token operator">-</span><span class="token number">00</span><span class="token operator">-</span><span class="token number">00</span> <span class="token number">00</span><span class="token punctuation">:</span><span class="token number">00</span><span class="token punctuation">:</span><span class="token number">00</span><span class="token punctuation">]</span>
+time_of_day_02 <span class="token punctuation">:</span> <span class="token punctuation">(</span><span class="token string">'time_of_day_02'</span><span class="token punctuation">,</span><span class="token punctuation">)</span><span class="token operator">=</span> <span class="token punctuation">(</span><span class="token number">2</span><span class="token punctuation">,</span><span class="token punctuation">)</span><span class="token punctuation">,</span> time of day  <span class="token punctuation">[</span><span class="token punctuation">[</span>hours since <span class="token number">0000</span><span class="token operator">-</span><span class="token number">00</span><span class="token operator">-</span><span class="token number">00</span> <span class="token number">00</span><span class="token punctuation">:</span><span class="token number">00</span><span class="token punctuation">:</span><span class="token number">00</span><span class="token punctuation">]</span><span class="token punctuation">]</span>
+pfull          <span class="token punctuation">:</span> <span class="token punctuation">(</span><span class="token string">'pfull'</span><span class="token punctuation">,</span><span class="token punctuation">)</span><span class="token operator">=</span> <span class="token punctuation">(</span><span class="token number">56</span><span class="token punctuation">,</span><span class="token punctuation">)</span><span class="token punctuation">,</span> ref full pressure level  <span class="token punctuation">[</span>mb<span class="token punctuation">]</span>
+scalar_axis    <span class="token punctuation">:</span> <span class="token punctuation">(</span><span class="token string">'scalar_axis'</span><span class="token punctuation">,</span><span class="token punctuation">)</span><span class="token operator">=</span> <span class="token punctuation">(</span><span class="token number">1</span><span class="token punctuation">,</span><span class="token punctuation">)</span><span class="token punctuation">,</span> none  <span class="token punctuation">[</span>none<span class="token punctuation">]</span>
+lon            <span class="token punctuation">:</span> <span class="token punctuation">(</span><span class="token string">'lon'</span><span class="token punctuation">,</span><span class="token punctuation">)</span><span class="token operator">=</span> <span class="token punctuation">(</span><span class="token number">180</span><span class="token punctuation">,</span><span class="token punctuation">)</span><span class="token punctuation">,</span> longitude  <span class="token punctuation">[</span>degrees_E<span class="token punctuation">]</span>
+lat            <span class="token punctuation">:</span> <span class="token punctuation">(</span><span class="token string">'lat'</span><span class="token punctuation">,</span><span class="token punctuation">)</span><span class="token operator">=</span> <span class="token punctuation">(</span><span class="token number">90</span><span class="token punctuation">,</span><span class="token punctuation">)</span><span class="token punctuation">,</span> latitude  <span class="token punctuation">[</span>degrees_N<span class="token punctuation">]</span>
+areo           <span class="token punctuation">:</span> <span class="token punctuation">(</span><span class="token string">'time'</span><span class="token punctuation">,</span> <span class="token string">'time_of_day_02'</span><span class="token punctuation">,</span> <span class="token string">'scalar_axis'</span><span class="token punctuation">)</span><span class="token operator">=</span> <span class="token punctuation">(</span><span class="token number">3</span><span class="token punctuation">,</span> <span class="token number">2</span><span class="token punctuation">,</span> <span class="token number">1</span><span class="token punctuation">)</span><span class="token punctuation">,</span> areo  <span class="token punctuation">[</span>degrees<span class="token punctuation">]</span>
+ps             <span class="token punctuation">:</span> <span class="token punctuation">(</span><span class="token string">'time'</span><span class="token punctuation">,</span> <span class="token string">'time_of_day_02'</span><span class="token punctuation">,</span> <span class="token string">'lat'</span><span class="token punctuation">,</span> <span class="token string">'lon'</span><span class="token punctuation">)</span><span class="token operator">=</span> <span class="token punctuation">(</span><span class="token number">3</span><span class="token punctuation">,</span> <span class="token number">2</span><span class="token punctuation">,</span> <span class="token number">90</span><span class="token punctuation">,</span> <span class="token number">180</span><span class="token punctuation">)</span><span class="token punctuation">,</span> surface pressure  <span class="token punctuation">[</span>Pa<span class="token punctuation">]</span>
+temp           <span class="token punctuation">:</span> <span class="token punctuation">(</span><span class="token string">'time'</span><span class="token punctuation">,</span> <span class="token string">'time_of_day_02'</span><span class="token punctuation">,</span> <span class="token string">'pfull'</span><span class="token punctuation">,</span> <span class="token string">'lat'</span><span class="token punctuation">,</span> <span class="token string">'lon'</span><span class="token punctuation">)</span><span class="token operator">=</span> <span class="token punctuation">(</span><span class="token number">3</span><span class="token punctuation">,</span> <span class="token number">2</span><span class="token punctuation">,</span> <span class="token number">56</span><span class="token punctuation">,</span> <span class="token number">90</span><span class="token punctuation">,</span> <span class="token number">180</span><span class="token punctuation">)</span><span class="token punctuation">,</span> temperature  <span class="token punctuation">[</span>K<span class="token punctuation">]</span>
+<span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">==</span><span class="token operator">=</span>
+</code></pre><p><em><a href="#part-i-file-manipulations">Return to Part I</a></em></p>
+<hr>
+<h2 id="6-pressure-interpolating-the-vertical-axis" ebook-toc-level-2="" heading="6. Pressure-Interpolating the Vertical Axis ">6. Pressure-Interpolating the Vertical Axis </h2>
+<p>Now we can efficiently interpolate the <code>diurn</code> file to the standard pressure grid. Recall that interpolation is part of <code>MarsInterp.py</code> and requires:</p>
+<ol>
+<li>Interpolation type (<code>--type [-t]</code>), and</li>
+<li>Grid (<code>--level [-l]</code>)</li>
+</ol>
+<p>As before, we will interpolate to standard pressure (<code>pstd</code>) using the default pressure grid in <code>.amesgcm_profile</code> (<code>pstd_default</code>):</p>
+<pre data-role="codeBlock" data-info="bash" class="language-bash bash"><code><span class="token punctuation">(</span>amesCAP<span class="token punctuation">)</span>~$ MarsInterp.py 03847.atmos_diurn_Ls265_275_T.nc <span class="token parameter variable">-t</span> pstd <span class="token parameter variable">-l</span> pstd_default
+<span class="token punctuation">..</span>.
+/home/centos/tutorial_files/cap_exercises/03847.atmos_diurn_Ls265_275_T_pstd.nc was created
+</code></pre><blockquote>
+<p><strong>Note:</strong> Interpolation could be done before or after time-shifting, the order does not matter.</p>
+</blockquote>
+<p>We now have four different <code>diurn</code> files in our directory:</p>
+<pre data-role="codeBlock" data-info="bash" class="language-bash bash"><code>03340.atmos_diurn.nc                  <span class="token comment"># Original MGCM file</span>
+03847.atmos_diurn_Ls265_275.nc        <span class="token comment"># + Trimmed to Ls=265-275</span>
+03847.atmos_diurn_Ls265_275_T.nc      <span class="token comment"># + Time-shifted; `ps` and `temp` only</span>
+03847.atmos_diurn_Ls265_275_T_pstd.nc <span class="token comment"># + Pressure-interpolated</span>
+</code></pre><p>CAP always adds an appendix to the name of any new file it creates. This helps users keep track of what was done and in what order. The last file we created was trimmed, time-shifted, then pressure-interpolated. However, the same file could be generated by performing the three functions in any order.</p>
+<p><em><a href="#part-i-file-manipulations">Return to Part I</a></em></p>
+<h1 id="optional-use-the-answer-key-for-part-i" ebook-toc-level-1="" heading="Optional: Use the Answer Key for Part I ">Optional: Use the Answer Key for Part I </h1>
+<p>This concludes Part I of the tutorial! If you messed up one of the exercises somewhere, you can run the <code>part_1_key.sh</code> script in this directory. It will delete the files you've made and performs all 6 Exercises in Part I for you. To do this, follow the steps below.</p>
+<ol>
+<li>Source the <code>amesCAP</code> virtual environment</li>
+<li>Change to the <code>tutorial_files/cap_exercises/</code> directory</li>
+<li>Run the executable:</li>
+</ol>
+<pre data-role="codeBlock" data-info="bash" class="language-bash bash"><code><span class="token punctuation">(</span>amesCAP<span class="token punctuation">)</span>~$ ./part_1_key.sh
+</code></pre><p>The script will do all of Part I for you. This ensures you can follow along with the plotting routines in Part II.</p>
+<p><em><a href="#part-i-file-manipulations">Return to Part I</a></em></p>
+<h1 id="cap-practical-day-2" ebook-toc-level-1="" heading="CAP Practical Day 2 ">CAP Practical Day 2 </h1>
+<p>This part of the CAP Practical covers how to generate plots with CAP. We will take a learn-by-doing approach, creating five sets of plots that demonstrate some of CAP's most often used plotting capabilities:</p>
+<ol>
+<li><a href="#custom-set-1-of-4-zonal-mean-surface-plots-over-time">Custom Set 1 of 4: Zonal Mean Surface Plots Over Time</a></li>
+<li><a href="#custom-set-2-of-4-global-mean-column-integrated-dust-optical-depth-over-time">Custom Set 2 of 4: Global Mean Column-Integrated Dust Optical Depth Over Time</a></li>
+<li><a href="#custom-set-3-of-4-50-pa-temperatures-at-3-am-and-3-pm">Custom Set 3 of 4: 50 Pa Temperatures at 3 AM and 3 PM</a></li>
+<li><a href="#custom-set-4-of-4-zonal-mean-circulation-cross-sections">Custom Set 4 of 4: Zonal Mean Circulation Cross-Sections</a></li>
+</ol>
+<p>Plotting with CAP is done in 3 steps:</p>
+<p><a href="#step-1-creating-the-template-customin">Step 1: Creating the Template (<code>Custom.in</code>)</a></p>
+<p><a href="#step-2-editing-customin">Step 2: Editing <code>Custom.in</code></a></p>
+<p><a href="#step-3-generating-the-plots">Step 3: Generating the Plots</a></p>
+<p>As in Part I, we will go through these steps together.</p>
+<h1 id="part-ii-plotting-with-cap" ebook-toc-level-1="" heading="Part II: Plotting with CAP ">Part II: Plotting with CAP </h1>
+<p>CAP's plotting routine is <code>MarsPlot.py</code>. It works by generating a <code>Custom.in</code> file containing seven different plot templates that users can modify, then reading the <code>Custom.in</code> file to make the plots.</p>
+<p>The plot templates in <code>Custom.in</code> include:</p>
+<table>
+<thead>
+<tr>
+<th style="text-align:left">Plot Type</th>
+<th style="text-align:left">X, Y Dimensions</th>
+<th style="text-align:left">Name in <code>Custom.in</code></th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td style="text-align:left">Map</td>
+<td style="text-align:left">Longitude, Latitude</td>
+<td style="text-align:left"><code>Plot 2D lon x lat</code></td>
+</tr>
+<tr>
+<td style="text-align:left">Time-varying</td>
+<td style="text-align:left">Time, Latitude</td>
+<td style="text-align:left"><code>Plot 2D time x lat</code></td>
+</tr>
+<tr>
+<td style="text-align:left">Time-varying</td>
+<td style="text-align:left">Time, level</td>
+<td style="text-align:left"><code>Plot 2D time x lev</code></td>
+</tr>
+<tr>
+<td style="text-align:left">Time-varying</td>
+<td style="text-align:left">Longitude, Time</td>
+<td style="text-align:left"><code>Plot 2D lon x time</code></td>
+</tr>
+<tr>
+<td style="text-align:left">Cross-section</td>
+<td style="text-align:left">Longitude, Level</td>
+<td style="text-align:left"><code>Plot 2D lon x lev</code></td>
+</tr>
+<tr>
+<td style="text-align:left">Cross-section</td>
+<td style="text-align:left">Latitude, Level</td>
+<td style="text-align:left"><code>Plot 2D lat x lev</code></td>
+</tr>
+<tr>
+<td style="text-align:left">Line plot (1D)</td>
+<td style="text-align:left">Dimension*, Variable</td>
+<td style="text-align:left"><code>Plot 1D</code></td>
+</tr>
+</tbody>
+</table>
+<blockquote>
+<p>*Dimension is user-indicated and could be time (<code>time</code>), latitude (<code>lat</code>), longitude <code>lon</code>, or level (<code>pfull</code>, <code>pstd</code>, <code>zstd</code>, <code>zagl</code>).</p>
+</blockquote>
+<p>Additionally, <code>MarsPlot.py</code> supports:</p>
+<ul>
+<li>PDF &amp; image format</li>
+<li>Landscape &amp; portrait mode</li>
+<li>Multi-panel plots</li>
+<li>Overplotting</li>
+<li>Customizable axes dimensions and contour intervals</li>
+<li>Adjustable colormaps and map projections</li>
+</ul>
+<p>and so much more. You will learn to plot with <code>MarsPlot.py</code> by following along with the demonstration. We will generate the <code>Custom.in</code> template file, customize it, and pass it back into <code>MarsPlot.py</code> to create plots.</p>
+<p><em><a href="#cap-practical-day-2">Return to Part II</a></em></p>
+<hr>
+<h2 id="step-1-creating-the-template-customin" ebook-toc-level-2="" heading="Step 1: Creating the Template (<code>Custom.in</code>) ">Step 1: Creating the Template (<code>Custom.in</code>) </h2>
+<p>Generate the template file, <code>Custom.in</code>:</p>
+<pre data-role="codeBlock" data-info="bash" class="language-bash bash"><code><span class="token punctuation">(</span>amesCAP<span class="token punctuation">)</span>~$ MarsPlot.py <span class="token parameter variable">-template</span>
+/home/centos/tutorial_files/cap_exercises/Custom.in was created 
+</code></pre><p>A new file called <code>Custom.in</code> is created in your current working directory.</p>
+<hr>
+<h2 id="step-2-editing-customin" ebook-toc-level-2="" heading="Step 2: Editing <code>Custom.in</code> ">Step 2: Editing <code>Custom.in</code> </h2>
+<p>Open <code>Custom.in</code> using <code>vim</code>:</p>
+<pre data-role="codeBlock" data-info="bash" class="language-bash bash"><code><span class="token punctuation">(</span>amesCAP<span class="token punctuation">)</span>~$ <span class="token function">vim</span> Custom.in
+</code></pre><p>Scroll down until you see the first two templates shown in the image below:</p>
+<p><img 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" alt="custom input template"></p>
+<p>Since all of the templates have a similar structure, we can broadly describe how <code>Custom.in</code> works by going through the templates line-by-line.</p>
+<h3 id="line-1" ebook-toc-level-3="" heading="Line 1 ">Line 1 </h3>
+<pre data-role="codeBlock" data-info="python" class="language-python python"><code><span class="token comment"># Line 1                ┌ plot type  ┌ whether to create the plot</span>
+<span class="token operator">&lt;&lt;</span><span class="token operator">&lt;&lt;</span><span class="token operator">&lt;&lt;</span><span class="token operator">&lt;&lt;</span><span class="token operator">&lt;&lt;</span><span class="token operator">&lt;&lt;</span><span class="token operator">&lt;&lt;</span><span class="token operator">|</span> Plot 2D lon X lat <span class="token operator">=</span> <span class="token boolean">True</span> <span class="token operator">|</span><span class="token operator">&gt;&gt;</span><span class="token operator">&gt;&gt;</span><span class="token operator">&gt;&gt;</span><span class="token operator">&gt;&gt;</span><span class="token operator">&gt;&gt;</span><span class="token operator">&gt;&gt;</span><span class="token operator">&gt;</span>
+</code></pre><p>Line 1 indicates the <strong>plot type</strong> and <strong>whether to create the plot</strong> when passed into <code>MarsPlot.py</code>.</p>
+<h3 id="line-2" ebook-toc-level-3="" heading="Line 2 ">Line 2 </h3>
+<pre data-role="codeBlock" data-info="python" class="language-python python"><code><span class="token comment"># Line 2         ┌ file ┌ variable</span>
+Title          <span class="token operator">=</span> <span class="token boolean">None</span>
+</code></pre><p>Line 2 is where we set the plot title.</p>
+<h3 id="line-3" ebook-toc-level-3="" heading="Line 3 ">Line 3 </h3>
+<pre data-role="codeBlock" data-info="python" class="language-python python"><code><span class="token comment"># Line 3         ┌ file ┌ variable</span>
+Main Variable  <span class="token operator">=</span> fixed<span class="token punctuation">.</span>zsurf          <span class="token comment"># file.variable</span>
+Main Variable  <span class="token operator">=</span> <span class="token punctuation">[</span>fixed<span class="token punctuation">.</span>zsurf<span class="token punctuation">]</span><span class="token operator">/</span><span class="token number">1000</span>   <span class="token comment"># [] brackets for mathematical operations</span>
+Main Variable  <span class="token operator">=</span> diurn_T<span class="token punctuation">.</span>temp<span class="token punctuation">{</span>tod<span class="token operator">=</span><span class="token number">3</span><span class="token punctuation">}</span>  <span class="token comment"># {} brackets for dimension selection</span>
+</code></pre><p>Line 3 indicates the <strong>variable</strong> to plot and the <strong>file</strong> from which to pull the variable.</p>
+<p>Additional customizations include:</p>
+<ul>
+<li>Element-wise operations (e.g., scaling by a factor)</li>
+<li>Dimensional selection (e.g., selecting the time of day (<code>tod</code>) at which to plot from a time-shifted diurn file)</li>
+</ul>
+<h3 id="line-4" ebook-toc-level-3="" heading="Line 4 ">Line 4 </h3>
+<pre data-role="codeBlock" data-info="python" class="language-python python"><code><span class="token comment"># Line 4</span>
+Cmin<span class="token punctuation">,</span> Cmax     <span class="token operator">=</span> <span class="token boolean">None</span>           <span class="token comment"># automatic, or</span>
+Cmin<span class="token punctuation">,</span> Cmax     <span class="token operator">=</span> <span class="token operator">-</span><span class="token number">4</span><span class="token punctuation">,</span><span class="token number">5</span>           <span class="token comment"># contour limits, or</span>
+Cmin<span class="token punctuation">,</span> Cmax     <span class="token operator">=</span> <span class="token operator">-</span><span class="token number">4</span><span class="token punctuation">,</span><span class="token operator">-</span><span class="token number">2</span><span class="token punctuation">,</span><span class="token number">0</span><span class="token punctuation">,</span><span class="token number">1</span><span class="token punctuation">,</span><span class="token number">3</span><span class="token punctuation">,</span><span class="token number">5</span>  <span class="token comment"># explicit contour levels</span>
+</code></pre><p>Line 4 line defines the <strong>color-filled contours</strong> for <code>Main Variable</code>. Valid inputs are:</p>
+<ul>
+<li><code>None</code> (default) enables Python's automatic interpretation of the contours</li>
+<li><code>min,max</code> specifies contour range</li>
+<li><code>X,Y,Z,...,N</code> gives explicit contour levels</li>
+</ul>
+<h3 id="lines-5--6" ebook-toc-level-3="" heading="Lines 5 &amp;amp; 6 ">Lines 5 &amp; 6 </h3>
+<pre data-role="codeBlock" data-info="python" class="language-python python"><code><span class="token comment"># Lines 5 &amp; 6</span>
+Ls <span class="token number">0</span><span class="token operator">-</span><span class="token number">360</span>       <span class="token operator">=</span> <span class="token boolean">None</span> <span class="token comment"># for 'time' free dimension</span>
+Level Pa<span class="token operator">/</span>m     <span class="token operator">=</span> <span class="token boolean">None</span> <span class="token comment"># for 'pstd' free dimension</span>
+</code></pre><p>Lines 5 &amp; 6 handle the <strong>free dimension(s)</strong> for <code>Main Variable</code> (the dimensions that are <em><strong>not</strong></em> plot dimensions).</p>
+<p>For example, <code>temperature</code> has four dimensions: <code>(time, pstd, lat, lon)</code>. For a <code>2D lon X lat</code> map of temperature, <code>lon</code> and <code>lat</code> provide the <code>x</code> and <code>y</code> dimensions of the plot. The free dimensions are then <code>pstd</code> (<code>Level Pa/m</code>) and <code>time</code> (<code>Ls 0-360</code>).</p>
+<p>Lines 5 &amp; 6 accept four input types:</p>
+<ol>
+<li><code>integer</code> selects the closest value</li>
+<li><code>min,max</code> averages over a range of the dimension</li>
+<li><code>all</code> averages over the entire dimension</li>
+<li><code>None</code> (default) depends on the free dimension:</li>
+</ol>
+<pre data-role="codeBlock" data-info="python" class="language-python python"><code><span class="token comment"># ┌ free dimension      ┌ default setting</span>
+Ls <span class="token number">0</span><span class="token operator">-</span><span class="token number">360</span>       <span class="token operator">=</span> <span class="token boolean">None</span>   <span class="token comment"># most recent timestep</span>
+Level Pa<span class="token operator">/</span>m     <span class="token operator">=</span> <span class="token boolean">None</span>   <span class="token comment"># surface level</span>
+Lon <span class="token operator">+</span><span class="token operator">/</span><span class="token operator">-</span><span class="token number">180</span>     <span class="token operator">=</span> <span class="token boolean">None</span>   <span class="token comment"># zonal mean over all longitudes</span>
+Latitude       <span class="token operator">=</span> <span class="token boolean">None</span>   <span class="token comment"># equatorial values only</span>
+</code></pre><h3 id="lines-7--8" ebook-toc-level-3="" heading="Lines 7 &amp;amp; 8 ">Lines 7 &amp; 8 </h3>
+<pre data-role="codeBlock" data-info="python" class="language-python python"><code><span class="token comment"># Line 7 &amp; 8</span>
+2nd Variable   <span class="token operator">=</span> <span class="token boolean">None</span>           <span class="token comment"># no solid contours</span>
+2nd Variable   <span class="token operator">=</span> fixed<span class="token punctuation">.</span>zsurf    <span class="token comment"># draw solid contours</span>
+Contours Var <span class="token number">2</span>  <span class="token operator">=</span> <span class="token operator">-</span><span class="token number">4</span><span class="token punctuation">,</span><span class="token number">5</span>          <span class="token comment"># contour range, or</span>
+Contours Var <span class="token number">2</span>  <span class="token operator">=</span> <span class="token operator">-</span><span class="token number">4</span><span class="token punctuation">,</span><span class="token operator">-</span><span class="token number">2</span><span class="token punctuation">,</span><span class="token number">0</span><span class="token punctuation">,</span><span class="token number">1</span><span class="token punctuation">,</span><span class="token number">3</span><span class="token punctuation">,</span><span class="token number">5</span> <span class="token comment"># explicit contour levels</span>
+</code></pre><p>Lines 7 &amp; 8 (optional) define the <strong>solid contours</strong> on the plot. Contours can be drawn for <code>Main Variable</code> or a different <code>2nd Variable</code>.</p>
+<ul>
+<li>Like <code>Main Variable</code>, <code>2nd Variable</code> minimally requires <code>file.variable</code></li>
+<li>Like <code>Cmin, Cmax</code>, <code>Contours Var 2</code> accepts a range (<code>min,max</code>) or list of explicit contour levels (<code>X,Y,Z,...,N</code>)</li>
+</ul>
+<h3 id="line-9" ebook-toc-level-3="" heading="Line 9 ">Line 9 </h3>
+<pre data-role="codeBlock" data-info="python" class="language-python python"><code><span class="token comment"># Line 9        ┌ X axes limit      ┌ Y axes limit      ┌ colormap   ┌ cmap scale  ┌ projection</span>
+ Axis Options <span class="token punctuation">:</span> lon <span class="token operator">=</span> <span class="token punctuation">[</span><span class="token boolean">None</span><span class="token punctuation">,</span><span class="token boolean">None</span><span class="token punctuation">]</span> <span class="token operator">|</span> lat <span class="token operator">=</span> <span class="token punctuation">[</span><span class="token boolean">None</span><span class="token punctuation">,</span><span class="token boolean">None</span><span class="token punctuation">]</span> <span class="token operator">|</span> cmap <span class="token operator">=</span> jet <span class="token operator">|</span> scale <span class="token operator">=</span> lin <span class="token operator">|</span> proj <span class="token operator">=</span> cart
+</code></pre><p>Finally, Line 9 offers plot customization (e.g., axes limits, colormaps, map projections, linestyles, 1D axes labels).</p>
+<p><em><a href="#cap-practical-day-2">Return to Part II</a></em></p>
+<hr>
+<h2 id="step-3-generating-the-plots" ebook-toc-level-2="" heading="Step 3: Generating the Plots ">Step 3: Generating the Plots </h2>
+<p>Generate the plots set to <code>True</code> in <code>Custom.in</code> by saving and quitting the editor (<code>:wq</code>) and then passing the template file to <code>MarsPlot.py</code>. The first time we do this, we'll pass the <code>--date [-d]</code> flag to specify that we want to plot from the <code>03340</code> <code>average</code> and <code>fixed</code> files:</p>
+<pre data-role="codeBlock" data-info="bash" class="language-bash bash"><code><span class="token punctuation">(</span>amesCAP<span class="token punctuation">)</span>~$ MarsPlot.py Custom.in <span class="token parameter variable">-d</span> 03340
+</code></pre><p>Plots are created and saved in a file called <code>Diagnostics.pdf</code>.</p>
+<p><img src="data:image/png;charset=utf-8;base64,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" alt="default plots"></p>
+<h3 id="viewing-diagnosticspdf" ebook-toc-level-3="" heading="Viewing Diagnostics.pdf ">Viewing Diagnostics.pdf </h3>
+<p>To open the file, we need to copy it to our local computer. We'll create an alias for the command that does this so we can easily pull <code>Diagnostics.pdf</code> from the cloud environment.</p>
+<p>First, open a new terminal tab (<code>CRTL-t</code>).</p>
+<p>Then, change to the directory hosting your token for this tutorial (the token is the file ending in <code>.pem</code>).</p>
+<p>Finally, build the secure copy (<code>scp</code>) command OR use <code>sftp</code>.</p>
+<h4 id="using-scprecommended" ebook-toc-level-4="" heading="Using <code>scp</code>(recommended) ">Using <code>scp</code>(recommended) </h4>
+<p>To build your <code>scp</code> command:</p>
+<ul>
+<li>The name of your <code>.pem</code> file (e.g., <code>mars-clusterXX.pem</code>)</li>
+<li>The address you used to login to the cloud (something like <code>centos@YOUR_IP_ADDRESS</code>)</li>
+<li>The path to the PDF in the cloud: <code>tutorial_files/cap_exercises/Diagnostics.pdf</code></li>
+</ul>
+<p>Putting these together, the secure copy command is:</p>
+<pre data-role="codeBlock" data-info="bash" class="language-bash bash"><code><span class="token punctuation">(</span>local<span class="token punctuation">)</span>~$ <span class="token function">scp</span> <span class="token parameter variable">-i</span> <span class="token string">"mars-clusterXX.pem"</span> centos@YOUR_IP_ADDRESS:tutorial_files/cap_exercises/Diagnostics.pdf <span class="token builtin class-name">.</span>
+</code></pre><p>To make the command into an alias named <code>getpdf</code>:</p>
+<pre data-role="codeBlock" data-info="bash" class="language-bash bash"><code><span class="token punctuation">(</span>local<span class="token punctuation">)</span>~$ <span class="token builtin class-name">alias</span> <span class="token assign-left variable">getpdf</span><span class="token operator">=</span><span class="token string">'scp -i "mars-clusterXX.pem" centos@YOUR_IP_ADDRESS:tutorial_files/cap_exercises/Diagnostics.pdf .'</span>
+</code></pre><p>Now we can pull the PDF to our local computer with one simple command:</p>
+<pre data-role="codeBlock" data-info="bash" class="language-bash bash"><code><span class="token punctuation">(</span>local<span class="token punctuation">)</span>~$ getpdf <span class="token comment"># uses scp</span>
+</code></pre><h4 id="using-sftp" ebook-toc-level-4="" heading="Using <code>sftp</code> ">Using <code>sftp</code> </h4>
+<p>Alternatively, if <code>scp</code> isn't working for you, you can use <code>sftp</code>. To do this, go to your new terminal tab and type:</p>
+<pre data-role="codeBlock" data-info="bash" class="language-bash bash"><code><span class="token punctuation">(</span>local<span class="token punctuation">)</span>~$ <span class="token function">sftp</span> <span class="token parameter variable">-i</span> <span class="token string">"mars-clusterXX.pem"</span> centos@YOUR_IP_ADDRESS
+sftp<span class="token operator">&gt;</span> <span class="token builtin class-name">cd</span> tutorial_files/cap_exercises
+</code></pre><p>Then when you want to pull the PDF to your local computer, type:</p>
+<pre data-role="codeBlock" data-info="bash" class="language-bash bash"><code>sftp<span class="token operator">&gt;</span> get Diagnostics.pdf
+</code></pre><hr>
+<h3 id="summary" ebook-toc-level-3="" heading="Summary ">Summary </h3>
+<p>Plotting with <code>MarsPlot.py</code> is done in 3 steps:</p>
+<pre data-role="codeBlock" data-info="bash" class="language-bash bash"><code><span class="token punctuation">(</span>amesCAP<span class="token punctuation">)</span>~$ MarsPlot.py <span class="token parameter variable">-template</span> <span class="token comment"># generate Custom.in</span>
+<span class="token punctuation">(</span>amesCAP<span class="token punctuation">)</span>~$ <span class="token function">vim</span> Custom.in         <span class="token comment"># edit Custom.in</span>
+<span class="token punctuation">(</span>amesCAP<span class="token punctuation">)</span>~$ MarsPlot.py Custom.in <span class="token comment"># pass Custom.in back to MarsPlot</span>
+</code></pre><p>Now we will go through some examples.</p>
+<hr>
+<h2 id="customizing-the-plots" ebook-toc-level-2="" heading="Customizing the Plots ">Customizing the Plots </h2>
+<p>Open <code>Custom.in</code> in the editor:</p>
+<pre data-role="codeBlock" data-info="bash" class="language-bash bash"><code><span class="token punctuation">(</span>amesCAP<span class="token punctuation">)</span>~$ <span class="token function">vim</span> Custom.in
+</code></pre><p>Copy the first two templates that are set to <code>True</code> and paste them below the line <code>Empty Templates (set to False)</code>. Then, set them to <code>False</code>. This way, we have all available templates saved at the bottom of the script.</p>
+<p>We'll preserve the first two plots, but let's define the sol number of the average and fixed files in the template itself so we don't have to pass the <code>--date [-d]</code> argument every time:</p>
+<pre data-role="codeBlock" data-info="python" class="language-python python"><code><span class="token comment"># for the first plot (lon X lat topography):</span>
+Main Variable  <span class="token operator">=</span> <span class="token number">03340</span><span class="token punctuation">.</span>fixed<span class="token punctuation">.</span>zsurf
+<span class="token comment"># for the second plot (lat X lev zonal wind):</span>
+Main Variable  <span class="token operator">=</span> <span class="token number">03340</span><span class="token punctuation">.</span>atmos_average<span class="token punctuation">.</span>ucomp
+</code></pre><p>Now we can omit the date (<code>--date [-d]</code>) when we pass <code>Custom.in</code> to <code>MarsPlot.py</code>.</p>
+<h3 id="custom-set-1-of-4-zonal-mean-surface-plots-over-time" ebook-toc-level-3="" heading="Custom Set 1 of 4: Zonal Mean Surface Plots Over Time ">Custom Set 1 of 4: Zonal Mean Surface Plots Over Time </h3>
+<p>The first set of plots we'll make are zonal mean surface fields over time: surface temperature, CO<span class="katex"><span class="katex-mathml"><math xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><msub><mrow></mrow><mn>2</mn></msub></mrow><annotation encoding="application/x-tex">_2</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="base"><span class="strut" style="height:0.4511em;vertical-align:-0.15em;"></span><span class="mord"><span></span><span class="msupsub"><span class="vlist-t vlist-t2"><span class="vlist-r"><span class="vlist" style="height:0.3011em;"><span style="top:-2.55em;margin-right:0.05em;"><span class="pstrut" style="height:2.7em;"></span><span class="sizing reset-size6 size3 mtight"><span class="mord mtight">2</span></span></span></span><span class="vlist-s">​</span></span><span class="vlist-r"><span class="vlist" style="height:0.15em;"><span></span></span></span></span></span></span></span></span></span> ice, and wind stress.</p>
+<p><img 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" alt="zonal mean surface plots"></p>
+<p>For each of the plots, source variables from the <em>non</em>-interpolated average file, <code>03340.atmos_average.nc</code>.</p>
+<p>For the <strong>surface temperature</strong> plot:</p>
+<ul>
+<li>Copy/paste the <code>Plot 2D time X lat</code> template above the <code>Empty Templates</code> line</li>
+<li>Set it to <code>True</code></li>
+<li>Edit the title to <code>Zonal Mean Sfc T [K]</code></li>
+<li>Set <code>Main Variable = 03340.atmos_average.ts</code></li>
+<li>Edit the colorbar range: <code>Cmin, Cmax = 140,270</code>  → <em>140-270 Kelvin</em></li>
+<li>Set <code>2nd Variable = 03340.atmos_average.ts</code>  → <em>for overplotted solid contours</em></li>
+<li>Explicitly define the solid contours: <code>Contours Var 2 = 160,180,200,220,240,260</code></li>
+</ul>
+<p>Let's pause here and pass the <code>Custom.in</code> file to <code>MarsPlot.py</code>.</p>
+<p>Type <code>ESC-:wq</code> to save and close the file. Then, pass it to <code>MarsPlot.py</code>:</p>
+<pre data-role="codeBlock" data-info="bash" class="language-bash bash"><code><span class="token punctuation">(</span>amesCAP<span class="token punctuation">)</span>~$ MarsPlot.py Custom.in
+</code></pre><p>Now, go to your <strong>local terminal</strong> tab and retrieve the PDF:</p>
+<pre data-role="codeBlock" data-info="bash" class="language-bash bash"><code><span class="token punctuation">(</span>local<span class="token punctuation">)</span>~$ getpdf <span class="token comment"># uses scp</span>
+</code></pre><p>or</p>
+<pre data-role="codeBlock" data-info="bash" class="language-bash bash"><code>sftp<span class="token operator">&gt;</span> get Diagnostics.pdf <span class="token comment"># uses sftp</span>
+</code></pre><p>Now we can open it and view our plot.</p>
+<p>Go back to the <strong>cloud environment</strong> tab to finish generating the other plots on this page. Open <code>Custom.in</code> in <code>vim</code>:</p>
+<pre data-role="codeBlock" data-info="bash" class="language-bash bash"><code><span class="token punctuation">(</span>amesCAP<span class="token punctuation">)</span>~$ <span class="token function">vim</span> Custom.in
+</code></pre><p>Write a set of <code>HOLD ON</code> and <code>HOLD OFF</code> arguments around the surface temperature plot. We will paste the other templates within these arguments to tell <code>MarsPlot.py</code> to put these plots on the same page.</p>
+<p>Copy/paste the <code>Plot 2D time X lat</code> template plot twice more. Make sure to set the boolean to <code>True</code>.</p>
+<p>For the <strong>surface CO<span class="katex"><span class="katex-mathml"><math xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><msub><mrow></mrow><mn>2</mn></msub></mrow><annotation encoding="application/x-tex">_2</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="base"><span class="strut" style="height:0.4511em;vertical-align:-0.15em;"></span><span class="mord"><span></span><span class="msupsub"><span class="vlist-t vlist-t2"><span class="vlist-r"><span class="vlist" style="height:0.3011em;"><span style="top:-2.55em;margin-right:0.05em;"><span class="pstrut" style="height:2.7em;"></span><span class="sizing reset-size6 size3 mtight"><span class="mord mtight">2</span></span></span></span><span class="vlist-s">​</span></span><span class="vlist-r"><span class="vlist" style="height:0.15em;"><span></span></span></span></span></span></span></span></span></span> ice</strong> plot:</p>
+<ul>
+<li>Set the title to <code>Zonal Mean Sfc CO2 Ice [kg/m2]</code></li>
+<li>Set <code>Main Variable = 03340.atmos_average.co2ice_sfc</code></li>
+<li>Edit the colorbar range: <code>Cmin, Cmax = 0,800</code>  → <em>0-800 kg/m<span class="katex"><span class="katex-mathml"><math xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><msup><mrow></mrow><mn>2</mn></msup></mrow><annotation encoding="application/x-tex">^2</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="base"><span class="strut" style="height:0.8141em;"></span><span class="mord"><span></span><span class="msupsub"><span class="vlist-t"><span class="vlist-r"><span class="vlist" style="height:0.8141em;"><span style="top:-3.063em;margin-right:0.05em;"><span class="pstrut" style="height:2.7em;"></span><span class="sizing reset-size6 size3 mtight"><span class="mord mtight">2</span></span></span></span></span></span></span></span></span></span></span></em></li>
+<li>Set <code>2nd Variable = 03340.atmos_average.co2ice_sfc</code>  → <em>solid contours</em></li>
+<li>Explicitly define the solid contours: <code>Contours Var 2 = 200,400,600,800</code></li>
+<li>Change the colormap on the <code>Axis Options</code> line: <code>cmap = plasma</code></li>
+</ul>
+<p>For the <strong>surface wind stress</strong> plot:</p>
+<ul>
+<li>Set the title to <code>Zonal Mean Sfc Stress [N/m2]</code></li>
+<li>Set <code>Main Variable = 03340.atmos_average.stress</code></li>
+<li>Edit the colorbar range: <code>Cmin, Cmax = 0,0.03</code>  → <em>0-0.03 N/m<span class="katex"><span class="katex-mathml"><math xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><msup><mrow></mrow><mn>2</mn></msup></mrow><annotation encoding="application/x-tex">^2</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="base"><span class="strut" style="height:0.8141em;"></span><span class="mord"><span></span><span class="msupsub"><span class="vlist-t"><span class="vlist-r"><span class="vlist" style="height:0.8141em;"><span style="top:-3.063em;margin-right:0.05em;"><span class="pstrut" style="height:2.7em;"></span><span class="sizing reset-size6 size3 mtight"><span class="mord mtight">2</span></span></span></span></span></span></span></span></span></span></span></em></li>
+</ul>
+<p>Save and quit the editor (<code>ESC-:wq</code>) and pass <code>Custom.in</code> to <code>MarsPlot.py</code>:</p>
+<pre data-role="codeBlock" data-info="bash" class="language-bash bash"><code><span class="token punctuation">(</span>amesCAP<span class="token punctuation">)</span>~$ MarsPlot.py Custom.in
+</code></pre><p>In your <strong>local terminal</strong> tab, retrieve the PDF to view the plots:</p>
+<pre data-role="codeBlock" data-info="bash" class="language-bash bash"><code><span class="token punctuation">(</span>local<span class="token punctuation">)</span>~$ getpdf <span class="token comment"># uses scp</span>
+</code></pre><p>or</p>
+<pre data-role="codeBlock" data-info="bash" class="language-bash bash"><code>sftp<span class="token operator">&gt;</span> get Diagnostics.pdf <span class="token comment"># uses sftp</span>
+</code></pre><p><em><a href="#cap-practical-day-2">Return to Part II</a></em></p>
+<hr>
+<h3 id="custom-set-2-of-4-global-mean-column-integrated-dust-optical-depth-over-time" ebook-toc-level-3="" heading="Custom Set 2 of 4: Global Mean Column-Integrated Dust Optical Depth Over Time ">Custom Set 2 of 4: Global Mean Column-Integrated Dust Optical Depth Over Time </h3>
+<p>Now we'll generate a 1D plot and practice plotting multiple lines on it.</p>
+<p><img src="data:image/png;charset=utf-8;base64,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" alt="global mean dust plot"></p>
+<p>Let's start by setting up our 1D plot template:</p>
+<ul>
+<li>Write a new set of <code>HOLD ON</code> and <code>HOLD OFF</code> arguments.</li>
+<li>Copy/paste the <code>Plot 1D</code> template between them.</li>
+<li>Set the template to <code>True</code>.</li>
+</ul>
+<p>Create the <strong>visible dust optical depth</strong> plot first:</p>
+<ul>
+<li>Set the title: <code>Area-Weighted Global Mean Dust OD (norm.) [op]</code></li>
+<li>Edit the legend: <code>Visible</code></li>
+</ul>
+<p>The input to <code>Main Variable</code> is not so straightforward this time. We want to plot the <em>normalized</em> dust optical depth, which is dervied as follows:</p>
+<pre data-role="codeBlock" data-info="" class="language-text text"><code>normalized_dust_OD = opacity / surface_pressure * reference_pressure
+</code></pre><p>The MGCM outputs column-integrated visible dust opacity to the variable <code>taudust_VIS</code>, surface pressure is saved as <code>ps</code>, and we'll use a reference pressure of 610 Pa. Recall that element-wise operations are performed when square brackets <code>[]</code> are placed around the variable in <code>Main Variable</code>. Putting all that together, <code>Main Variable</code> is:</p>
+<pre data-role="codeBlock" data-info="python" class="language-python python"><code><span class="token comment"># ┌ norm. OD     ┌ opacity                         ┌ surface pressure       ┌ ref. P</span>
+Main Variable  <span class="token operator">=</span> <span class="token punctuation">[</span><span class="token number">03340</span><span class="token punctuation">.</span>atmos_average<span class="token punctuation">.</span>taudust_VIS<span class="token punctuation">]</span><span class="token operator">/</span><span class="token punctuation">[</span><span class="token number">03340</span><span class="token punctuation">.</span>atmos_average<span class="token punctuation">.</span>ps<span class="token punctuation">]</span><span class="token operator">*</span><span class="token number">610</span>
+</code></pre><p>To finish up this plot, tell <code>MarsPlot.py</code> what to do to the dimensions of <code>taudust_VIS (time, lon, lat)</code>:</p>
+<ul>
+<li>Leave <code>Ls 0-360 = AXIS</code> to use 'time' as the X axis dimension.</li>
+<li>Set <code>Latitude = all</code>  → <em>average over all latitudes</em></li>
+<li>Set <code>Lon +/-180  = all</code>  → <em>average over all longitudes</em></li>
+<li>Set the Y axis label under <code>Axis Options</code>: <code>axlabel = Optical Depth</code></li>
+</ul>
+<p>The <strong>infrared dust optical depth</strong> plot is identical to the visible dust OD plot except for the variable being plotted, so duplicate the <strong>visible</strong> plot we just created. Make sure both templates are between <code>HOLD ON</code> and <code>HOLD OFF</code> Then, change two things:</p>
+<ul>
+<li>Change <code>Main Variable</code> from <code>taudust_VIS</code> to <code>taudust_IR</code></li>
+<li>Set the legend to reflect the new variable (<code>Legend = Infrared</code>)</li>
+</ul>
+<p>Save and quit the editor (<code>ESC-:wq</code>). pass <code>Custom.in</code> to <code>MarsPlot.py</code>:</p>
+<pre data-role="codeBlock" data-info="bash" class="language-bash bash"><code><span class="token punctuation">(</span>amesCAP<span class="token punctuation">)</span>~$ MarsPlot.py Custom.in
+</code></pre><p>In your <strong>local terminal</strong> tab, retrieve the PDF to view the plots:</p>
+<pre data-role="codeBlock" data-info="bash" class="language-bash bash"><code><span class="token punctuation">(</span>local<span class="token punctuation">)</span>~$ getpdf <span class="token comment"># uses scp</span>
+</code></pre><p>or</p>
+<pre data-role="codeBlock" data-info="bash" class="language-bash bash"><code>sftp<span class="token operator">&gt;</span> get Diagnostics.pdf <span class="token comment"># uses sftp</span>
+</code></pre><p>Notice we have two separate 1D plots on the same page. This is because of the <code>HOLD ON</code> and <code>HOLD OFF</code> arguments. Without those, these two plots would be on separate pages. But how do we overplot the lines on top of one another?</p>
+<p>Go back to the cloud environment, open <code>Custom.in</code>, and type <code>ADD LINE</code> between the two 1D templates.</p>
+<p>Save and quit again, pass it through <code>MarsPlot.py</code>, and retrieve the PDF locally. Now we have the overplotted lines we were looking for.</p>
+<p><em><a href="#cap-practical-day-2">Return to Part II</a></em></p>
+<hr>
+<h2 id="break-1" ebook-toc-level-2="" heading="Break ">Break </h2>
+<p><strong>Take 15 minutes</strong> to stretch, ask questions, or let us know your thoughts on CAP so far!</p>
+<hr>
+<h3 id="custom-set-3-of-4-50-pa-temperatures-at-3-am-and-3-pm" ebook-toc-level-3="" heading="Custom Set 3 of 4: 50 Pa Temperatures at 3 AM and 3 PM ">Custom Set 3 of 4: 50 Pa Temperatures at 3 AM and 3 PM </h3>
+<p>The first two plots are 3 AM and 3 PM 50 Pa temperatures at L<span class="katex"><span class="katex-mathml"><math xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><msub><mrow></mrow><mi>s</mi></msub></mrow><annotation encoding="application/x-tex">_s</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="base"><span class="strut" style="height:0.3014em;vertical-align:-0.15em;"></span><span class="mord"><span></span><span class="msupsub"><span class="vlist-t vlist-t2"><span class="vlist-r"><span class="vlist" style="height:0.1514em;"><span style="top:-2.55em;margin-right:0.05em;"><span class="pstrut" style="height:2.7em;"></span><span class="sizing reset-size6 size3 mtight"><span class="mord mathnormal mtight">s</span></span></span></span><span class="vlist-s">​</span></span><span class="vlist-r"><span class="vlist" style="height:0.15em;"><span></span></span></span></span></span></span></span></span></span>=270. Below is the 3 PM - 3 AM difference.</p>
+<p><img src="data:image/png;charset=utf-8;base64,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" alt="3 am 3 pm temperatures"></p>
+<p>We'll generate all three plots before passing <code>Custom.in</code> to <code>MarsPlot.py</code>, so copy/paste the <code>Plot 2D lon X lat</code> template <em><strong>three times</strong></em> between a set of <code>HOLD ON</code> and <code>HOLD OFF</code> arguments and set them to <code>True</code>.</p>
+<p>For the first plot,</p>
+<ul>
+<li>Title it for 3 AM temperatures: <code>3 AM 50 Pa Temperatures [K] @ Ls=270</code></li>
+<li>Set <code>Main Variable</code> to <code>temp</code> and select 3 AM for the time of day using curly brackets:</li>
+</ul>
+<pre data-role="codeBlock" data-info="python" class="language-python python"><code>Main Variable  <span class="token operator">=</span> <span class="token number">03847</span><span class="token punctuation">.</span>atmos_diurn_Ls265_275_T_pstd<span class="token punctuation">.</span>temp<span class="token punctuation">{</span>tod<span class="token operator">=</span><span class="token number">3</span><span class="token punctuation">}</span>
+</code></pre><ul>
+<li>Set the colorbar range: <code>Cmin, Cmax = 145,290</code>  → <em>145-290 K</em></li>
+<li>Set <code>Ls 0-360 = 270</code>  → <em>southern summer solstice</em></li>
+<li>Set <code>Level Pa/m = 50</code>  → <em>selects 50 Pa temperatures</em></li>
+<li>Set <code>2nd Variable</code> to be identical to <code>Main Variable</code></li>
+</ul>
+<p>Now, edit the second template for 3 PM temperatures the same way. The only differences are the:</p>
+<ul>
+<li>Title: edit to reflect 3 PM temperatures</li>
+<li>Time of day selection: for 3 PM, <code>{tod=15}</code> <em><strong>change this for <code>2nd Variable</code> too!</strong></em></li>
+</ul>
+<p>For the <strong>difference plot</strong>, we will need to use square brackets in the input for <code>Main Variable</code> in order to subtract 3 AM temperatures from 3 PM temperatures. We'll also use a diverging colorbar to show temperature differences better.</p>
+<ul>
+<li>Set the title to <code>3 PM - 3 AM Temperature [K] @ Ls=270</code></li>
+<li>Build <code>Main Variable</code> by subtracting the 3 AM <code>Main Variable</code> input from the 3 PM <code>Main variable</code> input:</li>
+</ul>
+<pre data-role="codeBlock" data-info="python" class="language-python python"><code>Main Variable <span class="token operator">=</span> <span class="token punctuation">[</span><span class="token number">03847</span><span class="token punctuation">.</span>atmos_diurn_Ls265_275_T_pstd<span class="token punctuation">.</span>temp<span class="token punctuation">{</span>tod<span class="token operator">=</span><span class="token number">15</span><span class="token punctuation">}</span><span class="token punctuation">]</span><span class="token operator">-</span><span class="token punctuation">[</span><span class="token number">03847</span><span class="token punctuation">.</span>atmos_diurn_Ls265_275_T_pstd<span class="token punctuation">.</span>temp<span class="token punctuation">{</span>tod<span class="token operator">=</span><span class="token number">3</span><span class="token punctuation">}</span><span class="token punctuation">]</span>
+</code></pre><ul>
+<li>Center the colorbar at <code>0</code> by setting <code>Cmin, Cmax = -20,20</code></li>
+<li>Like the first two plots, set <code>Ls 0-360 = 270</code>  → <em>southern summer solstice</em></li>
+<li>Like the first two plots, set <code>Level Pa/m = 50</code>  → <em>selects 50 Pa temperatures</em></li>
+<li>Select a diverging colormap in <code>Axis Options</code>: <code>cmap = RdBu_r</code></li>
+</ul>
+<p>Save and quit the editor (<code>ESC-:wq</code>). pass <code>Custom.in</code> to <code>MarsPlot.py</code>, and pull it to your local computer:</p>
+<pre data-role="codeBlock" data-info="bash" class="language-bash bash"><code><span class="token punctuation">(</span>amesCAP<span class="token punctuation">)</span>~$ MarsPlot.py Custom.in
+<span class="token comment"># switch to the local terminal...</span>
+<span class="token punctuation">(</span>local<span class="token punctuation">)</span>~$ getpdf <span class="token comment"># uses scp</span>
+</code></pre><p>or</p>
+<pre data-role="codeBlock" data-info="bash" class="language-bash bash"><code>sftp<span class="token operator">&gt;</span> get Diagnostics.pdf <span class="token comment"># uses sftp</span>
+</code></pre><p><em><a href="#cap-practical-day-2">Return to Part II</a></em></p>
+<hr>
+<h3 id="custom-set-4-of-4-zonal-mean-circulation-cross-sections" ebook-toc-level-3="" heading="Custom Set 4 of 4: Zonal Mean Circulation Cross-Sections ">Custom Set 4 of 4: Zonal Mean Circulation Cross-Sections </h3>
+<p>For our final set of plots, we will generate four cross-section plots showing temperature, zonal (U) and meridional (V) winds, and mass streamfunction at L<span class="katex"><span class="katex-mathml"><math xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><msub><mrow></mrow><mi>s</mi></msub></mrow><annotation encoding="application/x-tex">_s</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="base"><span class="strut" style="height:0.3014em;vertical-align:-0.15em;"></span><span class="mord"><span></span><span class="msupsub"><span class="vlist-t vlist-t2"><span class="vlist-r"><span class="vlist" style="height:0.1514em;"><span style="top:-2.55em;margin-right:0.05em;"><span class="pstrut" style="height:2.7em;"></span><span class="sizing reset-size6 size3 mtight"><span class="mord mathnormal mtight">s</span></span></span></span><span class="vlist-s">​</span></span><span class="vlist-r"><span class="vlist" style="height:0.15em;"><span></span></span></span></span></span></span></span></span></span>=270.</p>
+<p><img 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" alt="zonal mean circulation plots"></p>
+<p>Begin with the usual 3-step process:</p>
+<ol>
+<li>Write a set of <code>HOLD ON</code> and <code>HOLD OFF</code> arguments</li>
+<li>Copy-paste the <code>Plot 2D lat X lev</code> template between them</li>
+<li>Set the template to <code>True</code></li>
+</ol>
+<p>Since all four plots are going to have the same X and Y axis ranges and <code>time</code> selection, let's edit this template before copying it three more times:</p>
+<ul>
+<li>Set <code>Ls 0-360 = 270</code></li>
+<li>In <code>Axis Options</code>, set <code>Lat = [-90,90]</code></li>
+<li>In <code>Axis Options</code>, set <code>level[Pa/m] = [1000,0.05]</code></li>
+</ul>
+<p>Now copy/paste this template three more times. Let the first plot be temperature, the second be mass streamfunction, the third be zonal wind, and the fourth be meridional wind.</p>
+<p>For <strong>temperature</strong>:</p>
+<pre data-role="codeBlock" data-info="python" class="language-python python"><code>Title          <span class="token operator">=</span> Temperature <span class="token punctuation">[</span>K<span class="token punctuation">]</span> <span class="token punctuation">(</span>Ls<span class="token operator">=</span><span class="token number">270</span><span class="token punctuation">)</span>
+Main Variable  <span class="token operator">=</span> <span class="token number">03847</span><span class="token punctuation">.</span>atmos_average_Ls265_275_pstd<span class="token punctuation">.</span>temp
+Cmin<span class="token punctuation">,</span> Cmax     <span class="token operator">=</span> <span class="token number">110</span><span class="token punctuation">,</span><span class="token number">240</span>
+<span class="token punctuation">.</span><span class="token punctuation">.</span><span class="token punctuation">.</span>
+2nd Variable   <span class="token operator">=</span> <span class="token number">03847</span><span class="token punctuation">.</span>atmos_average_Ls265_275_pstd<span class="token punctuation">.</span>temp
+</code></pre><p>For <strong>streamfunction</strong>, define explicit solid contours under <code>Contours Var 2</code> and set a diverging colormap.</p>
+<pre data-role="codeBlock" data-info="python" class="language-python python"><code>Title          <span class="token operator">=</span> Mass Stream Function <span class="token punctuation">[</span><span class="token number">1.e8</span> kg s<span class="token operator">-</span><span class="token number">1</span><span class="token punctuation">]</span> <span class="token punctuation">(</span>Ls<span class="token operator">=</span><span class="token number">270</span><span class="token punctuation">)</span>
+Main Variable  <span class="token operator">=</span> <span class="token number">03847</span><span class="token punctuation">.</span>atmos_average_Ls265_275_pstd<span class="token punctuation">.</span>msf
+Cmin<span class="token punctuation">,</span> Cmax     <span class="token operator">=</span> <span class="token operator">-</span><span class="token number">110</span><span class="token punctuation">,</span><span class="token number">110</span>
+<span class="token punctuation">.</span><span class="token punctuation">.</span><span class="token punctuation">.</span>
+2nd Variable   <span class="token operator">=</span> <span class="token number">03847</span><span class="token punctuation">.</span>atmos_average_Ls265_275_pstd<span class="token punctuation">.</span>msf
+Contours Var <span class="token number">2</span> <span class="token operator">=</span> <span class="token operator">-</span><span class="token number">5</span><span class="token punctuation">,</span><span class="token operator">-</span><span class="token number">3</span><span class="token punctuation">,</span><span class="token operator">-</span><span class="token number">1</span><span class="token punctuation">,</span><span class="token operator">-</span><span class="token number">0.5</span><span class="token punctuation">,</span><span class="token number">1</span><span class="token punctuation">,</span><span class="token number">3</span><span class="token punctuation">,</span><span class="token number">5</span><span class="token punctuation">,</span><span class="token number">10</span><span class="token punctuation">,</span><span class="token number">20</span><span class="token punctuation">,</span><span class="token number">40</span><span class="token punctuation">,</span><span class="token number">60</span><span class="token punctuation">,</span><span class="token number">100</span><span class="token punctuation">,</span><span class="token number">120</span>
+<span class="token comment"># set cmap = bwr in Axis Options</span>
+</code></pre><p>For <strong>zonal</strong> and <strong>meridional</strong> wind, use the dual-toned colormap <code>PiYG</code>.</p>
+<pre data-role="codeBlock" data-info="python" class="language-python python"><code>Title          <span class="token operator">=</span> Zonal Wind <span class="token punctuation">[</span>m<span class="token operator">/</span>s<span class="token punctuation">]</span> <span class="token punctuation">(</span>Ls<span class="token operator">=</span><span class="token number">270</span><span class="token punctuation">)</span>
+Main Variable  <span class="token operator">=</span> <span class="token number">03847</span><span class="token punctuation">.</span>atmos_average_Ls265_275_pstd<span class="token punctuation">.</span>ucomp
+Cmin<span class="token punctuation">,</span> Cmax     <span class="token operator">=</span> <span class="token operator">-</span><span class="token number">230</span><span class="token punctuation">,</span><span class="token number">230</span>
+<span class="token punctuation">.</span><span class="token punctuation">.</span><span class="token punctuation">.</span>
+2nd Variable   <span class="token operator">=</span> <span class="token number">03847</span><span class="token punctuation">.</span>atmos_average_Ls265_275_pstd<span class="token punctuation">.</span>ucomp
+<span class="token comment"># set cmap = PiYG in Axis Options</span>
+</code></pre><pre data-role="codeBlock" data-info="python" class="language-python python"><code>Title          <span class="token operator">=</span> Meridional Wind <span class="token punctuation">[</span>m<span class="token operator">/</span>s<span class="token punctuation">]</span> <span class="token punctuation">(</span>Ls<span class="token operator">=</span><span class="token number">270</span><span class="token punctuation">)</span>
+Main Variable  <span class="token operator">=</span> <span class="token number">03847</span><span class="token punctuation">.</span>atmos_average_Ls265_275_pstd<span class="token punctuation">.</span>vcomp
+Cmin<span class="token punctuation">,</span> Cmax     <span class="token operator">=</span> <span class="token operator">-</span><span class="token number">85</span><span class="token punctuation">,</span><span class="token number">85</span>
+<span class="token punctuation">.</span><span class="token punctuation">.</span><span class="token punctuation">.</span>
+2nd Variable   <span class="token operator">=</span> <span class="token number">03847</span><span class="token punctuation">.</span>atmos_average_Ls265_275_pstd<span class="token punctuation">.</span>vcomp
+<span class="token comment"># set cmap = PiYG in Axis Options</span>
+</code></pre><p>Save and quit the editor (<code>ESC-:wq</code>). pass <code>Custom.in</code> to <code>MarsPlot.py</code>, and pull it to your local computer:</p>
+<pre data-role="codeBlock" data-info="bash" class="language-bash bash"><code><span class="token punctuation">(</span>amesCAP<span class="token punctuation">)</span>~$ MarsPlot.py Custom.in
+<span class="token comment"># switch to the local terminal...</span>
+<span class="token punctuation">(</span>local<span class="token punctuation">)</span>~$ getpdf <span class="token comment"># uses scp</span>
+</code></pre><p>or</p>
+<pre data-role="codeBlock" data-info="bash" class="language-bash bash"><code>sftp<span class="token operator">&gt;</span> get Diagnostics.pdf <span class="token comment"># uses sftp</span>
+</code></pre><p><em><a href="#cap-practical-day-2">Return to Part II</a></em></p>
+<hr>
+<h3 id="end-credits" ebook-toc-level-3="" heading="End Credits ">End Credits </h3>
+<p>This concludes the practical exercise portion of the CAP tutorial. Please feel free to use these exercises as a reference when using CAP the future!</p>
+<p><em>Written by Courtney Batterson, Alex Kling, and Victoria Hartwick. This document was created for the NASA Ames MGCM and CAP Tutorial held virtually November 13-15, 2023.</em></p>
+<p><em>Questions, comments, or general feedback? <a href="https://forms.gle/2VGnVRrvHDzoL6Y47">Contact us</a></em>.</p>
+<p><em><a href="#table-of-contents">Return to Top</a></em></p>
+</div></body></html>
+    </div>
+  </body>
+</html>
diff --git a/tutorial/CAP_Exercises.pdf b/tutorial/CAP_Exercises.pdf
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+  border-top: 1px solid var(--borderColor-muted, var(--color-border-muted));
+}
+
+.github-markdown-body table tr:nth-child(2n) {
+  background-color: var(--bgColor-muted, var(--color-canvas-subtle));
+}
+
+.github-markdown-body table img {
+  background-color: transparent;
+}
+
+.github-markdown-body img[align=right] {
+  padding-left: 20px;
+}
+
+.github-markdown-body img[align=left] {
+  padding-right: 20px;
+}
+
+.github-markdown-body .emoji {
+  max-width: none;
+  vertical-align: text-top;
+  background-color: transparent;
+}
+
+.github-markdown-body span.frame {
+  display: block;
+  overflow: hidden;
+}
+
+.github-markdown-body span.frame>span {
+  display: block;
+  float: left;
+  width: auto;
+  padding: 7px;
+  margin: 13px 0 0;
+  overflow: hidden;
+  border: 1px solid var(--borderColor-default, var(--color-border-default));
+}
+
+.github-markdown-body span.frame span img {
+  display: block;
+  float: left;
+}
+
+.github-markdown-body span.frame span span {
+  display: block;
+  padding: 5px 0 0;
+  clear: both;
+  color: var(--fgColor-default, var(--color-fg-default));
+}
+
+.github-markdown-body span.align-center {
+  display: block;
+  overflow: hidden;
+  clear: both;
+}
+
+.github-markdown-body span.align-center>span {
+  display: block;
+  margin: 13px auto 0;
+  overflow: hidden;
+  text-align: center;
+}
+
+.github-markdown-body span.align-center span img {
+  margin: 0 auto;
+  text-align: center;
+}
+
+.github-markdown-body span.align-right {
+  display: block;
+  overflow: hidden;
+  clear: both;
+}
+
+.github-markdown-body span.align-right>span {
+  display: block;
+  margin: 13px 0 0;
+  overflow: hidden;
+  text-align: right;
+}
+
+.github-markdown-body span.align-right span img {
+  margin: 0;
+  text-align: right;
+}
+
+.github-markdown-body span.float-left {
+  display: block;
+  float: left;
+  margin-right: 13px;
+  overflow: hidden;
+}
+
+.github-markdown-body span.float-left span {
+  margin: 13px 0 0;
+}
+
+.github-markdown-body span.float-right {
+  display: block;
+  float: right;
+  margin-left: 13px;
+  overflow: hidden;
+}
+
+.github-markdown-body span.float-right>span {
+  display: block;
+  margin: 13px auto 0;
+  overflow: hidden;
+  text-align: right;
+}
+
+.github-markdown-body code,
+.github-markdown-body tt {
+  padding: .2em .4em;
+  margin: 0;
+  font-size: 85%;
+  white-space: break-spaces;
+  background-color: var(--bgColor-neutral-muted, var(--color-neutral-muted));
+  border-radius: 6px;
+}
+
+.github-markdown-body code br,
+.github-markdown-body tt br {
+  display: none;
+}
+
+.github-markdown-body del code {
+  text-decoration: inherit;
+}
+
+.github-markdown-body samp {
+  font-size: 85%;
+}
+
+.github-markdown-body pre code {
+  font-size: 100%;
+}
+
+.github-markdown-body pre>code {
+  padding: 0;
+  margin: 0;
+  word-break: normal;
+  white-space: pre;
+  background: transparent;
+  border: 0;
+}
+
+.github-markdown-body .highlight {
+  margin-bottom: 16px;
+}
+
+.github-markdown-body .highlight pre {
+  margin-bottom: 0;
+  word-break: normal;
+}
+
+.github-markdown-body .highlight pre,
+.github-markdown-body pre {
+  padding: 16px;
+  overflow: auto;
+  font-size: 85%;
+  line-height: 1.45;
+  color: var(--fgColor-default, var(--color-fg-default));
+  background-color: var(--bgColor-muted, var(--color-canvas-subtle));
+  border-radius: 6px;
+}
+
+.github-markdown-body pre code,
+.github-markdown-body pre tt {
+  display: inline;
+  max-width: auto;
+  padding: 0;
+  margin: 0;
+  overflow: visible;
+  line-height: inherit;
+  word-wrap: normal;
+  background-color: transparent;
+  border: 0;
+}
+
+.github-markdown-body .csv-data td,
+.github-markdown-body .csv-data th {
+  padding: 5px;
+  overflow: hidden;
+  font-size: 12px;
+  line-height: 1;
+  text-align: left;
+  white-space: nowrap;
+}
+
+.github-markdown-body .csv-data .blob-num {
+  padding: 10px 8px 9px;
+  text-align: right;
+  background: var(--bgColor-default, var(--color-canvas-default));
+  border: 0;
+}
+
+.github-markdown-body .csv-data tr {
+  border-top: 0;
+}
+
+.github-markdown-body .csv-data th {
+  font-weight: var(--base-text-weight-semibold, 600);
+  background: var(--bgColor-muted, var(--color-canvas-subtle));
+  border-top: 0;
+}
+
+.github-markdown-body [data-footnote-ref]::before {
+  content: "[";
+}
+
+.github-markdown-body [data-footnote-ref]::after {
+  content: "]";
+}
+
+.github-markdown-body .footnotes {
+  font-size: 12px;
+  color: var(--fgColor-muted, var(--color-fg-muted));
+  border-top: 1px solid var(--borderColor-default, var(--color-border-default));
+}
+
+.github-markdown-body .footnotes ol {
+  padding-left: 16px;
+}
+
+.github-markdown-body .footnotes ol ul {
+  display: inline-block;
+  padding-left: 16px;
+  margin-top: 16px;
+}
+
+.github-markdown-body .footnotes li {
+  position: relative;
+}
+
+.github-markdown-body .footnotes li:target::before {
+  position: absolute;
+  top: -8px;
+  right: -8px;
+  bottom: -8px;
+  left: -24px;
+  pointer-events: none;
+  content: "";
+  border: 2px solid var(--borderColor-accent-emphasis, var(--color-accent-emphasis));
+  border-radius: 6px;
+}
+
+.github-markdown-body .footnotes li:target {
+  color: var(--fgColor-default, var(--color-fg-default));
+}
+
+.github-markdown-body .footnotes .data-footnote-backref g-emoji {
+  font-family: monospace;
+}
+
+.github-markdown-body [popover] {
+  background-color: canvas;
+  border: initial solid;
+  border-color: initial;
+  border-image: initial;
+  color: initial;
+  height: fit-content;
+  inset: 0;
+  margin: auto;
+  overflow: auto;
+  padding: .25em;
+  position: fixed;
+  width: fit-content;
+  z-index: 2147483647;
+}
+
+.github-markdown-body [popover]:not(.\:popover-open) {
+  display: none;
+}
+
+.github-markdown-body [popover]:is(dialog[open]) {
+  display: revert;
+}
+
+.github-markdown-body [anchor].\:popover-open {
+  inset: auto;
+}
+
+.github-markdown-body .pl-c {
+  color: var(--color-prettylights-syntax-comment);
+}
+
+.github-markdown-body .pl-c1,
+.github-markdown-body .pl-s .pl-v {
+  color: var(--color-prettylights-syntax-constant);
+}
+
+.github-markdown-body .pl-e,
+.github-markdown-body .pl-en {
+  color: var(--color-prettylights-syntax-entity);
+}
+
+.github-markdown-body .pl-smi,
+.github-markdown-body .pl-s .pl-s1 {
+  color: var(--color-prettylights-syntax-storage-modifier-import);
+}
+
+.github-markdown-body .pl-ent {
+  color: var(--color-prettylights-syntax-entity-tag);
+}
+
+.github-markdown-body .pl-k {
+  color: var(--color-prettylights-syntax-keyword);
+}
+
+.github-markdown-body .pl-s,
+.github-markdown-body .pl-pds,
+.github-markdown-body .pl-s .pl-pse .pl-s1,
+.github-markdown-body .pl-sr,
+.github-markdown-body .pl-sr .pl-cce,
+.github-markdown-body .pl-sr .pl-sre,
+.github-markdown-body .pl-sr .pl-sra {
+  color: var(--color-prettylights-syntax-string);
+}
+
+.github-markdown-body .pl-v,
+.github-markdown-body .pl-smw {
+  color: var(--color-prettylights-syntax-variable);
+}
+
+.github-markdown-body .pl-bu {
+  color: var(--color-prettylights-syntax-brackethighlighter-unmatched);
+}
+
+.github-markdown-body .pl-ii {
+  color: var(--color-prettylights-syntax-invalid-illegal-text);
+  background-color: var(--color-prettylights-syntax-invalid-illegal-bg);
+}
+
+.github-markdown-body .pl-c2 {
+  color: var(--color-prettylights-syntax-carriage-return-text);
+  background-color: var(--color-prettylights-syntax-carriage-return-bg);
+}
+
+.github-markdown-body .pl-sr .pl-cce {
+  font-weight: bold;
+  color: var(--color-prettylights-syntax-string-regexp);
+}
+
+.github-markdown-body .pl-ml {
+  color: var(--color-prettylights-syntax-markup-list);
+}
+
+.github-markdown-body .pl-mh,
+.github-markdown-body .pl-mh .pl-en,
+.github-markdown-body .pl-ms {
+  font-weight: bold;
+  color: var(--color-prettylights-syntax-markup-heading);
+}
+
+.github-markdown-body .pl-mi {
+  font-style: italic;
+  color: var(--color-prettylights-syntax-markup-italic);
+}
+
+.github-markdown-body .pl-mb {
+  font-weight: bold;
+  color: var(--color-prettylights-syntax-markup-bold);
+}
+
+.github-markdown-body .pl-md {
+  color: var(--color-prettylights-syntax-markup-deleted-text);
+  background-color: var(--color-prettylights-syntax-markup-deleted-bg);
+}
+
+.github-markdown-body .pl-mi1 {
+  color: var(--color-prettylights-syntax-markup-inserted-text);
+  background-color: var(--color-prettylights-syntax-markup-inserted-bg);
+}
+
+.github-markdown-body .pl-mc {
+  color: var(--color-prettylights-syntax-markup-changed-text);
+  background-color: var(--color-prettylights-syntax-markup-changed-bg);
+}
+
+.github-markdown-body .pl-mi2 {
+  color: var(--color-prettylights-syntax-markup-ignored-text);
+  background-color: var(--color-prettylights-syntax-markup-ignored-bg);
+}
+
+.github-markdown-body .pl-mdr {
+  font-weight: bold;
+  color: var(--color-prettylights-syntax-meta-diff-range);
+}
+
+.github-markdown-body .pl-ba {
+  color: var(--color-prettylights-syntax-brackethighlighter-angle);
+}
+
+.github-markdown-body .pl-sg {
+  color: var(--color-prettylights-syntax-sublimelinter-gutter-mark);
+}
+
+.github-markdown-body .pl-corl {
+  text-decoration: underline;
+  color: var(--color-prettylights-syntax-constant-other-reference-link);
+}
+
+.github-markdown-body g-emoji {
+  display: inline-block;
+  min-width: 1ch;
+  font-family: "Apple Color Emoji","Segoe UI Emoji","Segoe UI Symbol";
+  font-size: 1em;
+  font-style: normal !important;
+  font-weight: var(--base-text-weight-normal, 400);
+  line-height: 1;
+  vertical-align: -0.075em;
+}
+
+.github-markdown-body g-emoji img {
+  width: 1em;
+  height: 1em;
+}
+
+.github-markdown-body .task-list-item {
+  list-style-type: none;
+}
+
+.github-markdown-body .task-list-item label {
+  font-weight: var(--base-text-weight-normal, 400);
+}
+
+.github-markdown-body .task-list-item.enabled label {
+  cursor: pointer;
+}
+
+.github-markdown-body .task-list-item+.task-list-item {
+  margin-top: 4px;
+}
+
+.github-markdown-body .task-list-item .handle {
+  display: none;
+}
+
+.github-markdown-body .task-list-item-checkbox {
+  margin: 0 .2em .25em -1.4em;
+  vertical-align: middle;
+}
+
+.github-markdown-body .contains-task-list:dir(rtl) .task-list-item-checkbox {
+  margin: 0 -1.6em .25em .2em;
+}
+
+.github-markdown-body .contains-task-list {
+  position: relative;
+}
+
+.github-markdown-body .contains-task-list:hover .task-list-item-convert-container,
+.github-markdown-body .contains-task-list:focus-within .task-list-item-convert-container {
+  display: block;
+  width: auto;
+  height: 24px;
+  overflow: visible;
+  clip: auto;
+}
+
+.github-markdown-body .QueryBuilder .qb-entity {
+  color: var(--color-prettylights-syntax-entity);
+}
+
+.github-markdown-body .QueryBuilder .qb-constant {
+  color: var(--color-prettylights-syntax-constant);
+}
+
+.github-markdown-body ::-webkit-calendar-picker-indicator {
+  filter: invert(50%);
+}
+[data-color-mode=light][data-light-theme=light],
+[data-color-mode=dark][data-dark-theme=light],
+.vscode-body.vscode-light [data-color-mode=auto][data-light-theme=light],
+.vscode-body.vscode-dark [data-color-mode=auto][data-dark-theme=light] {
+  /*light*/
+  color-scheme: light;
+  --color-prettylights-syntax-comment: #6e7781;
+  --color-prettylights-syntax-constant: #0550ae;
+  --color-prettylights-syntax-entity: #6639ba;
+  --color-prettylights-syntax-storage-modifier-import: #24292f;
+  --color-prettylights-syntax-entity-tag: #116329;
+  --color-prettylights-syntax-keyword: #cf222e;
+  --color-prettylights-syntax-string: #0a3069;
+  --color-prettylights-syntax-variable: #953800;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #82071e;
+  --color-prettylights-syntax-invalid-illegal-text: #f6f8fa;
+  --color-prettylights-syntax-invalid-illegal-bg: #82071e;
+  --color-prettylights-syntax-carriage-return-text: #f6f8fa;
+  --color-prettylights-syntax-carriage-return-bg: #cf222e;
+  --color-prettylights-syntax-string-regexp: #116329;
+  --color-prettylights-syntax-markup-list: #3b2300;
+  --color-prettylights-syntax-markup-heading: #0550ae;
+  --color-prettylights-syntax-markup-italic: #24292f;
+  --color-prettylights-syntax-markup-bold: #24292f;
+  --color-prettylights-syntax-markup-deleted-text: #82071e;
+  --color-prettylights-syntax-markup-deleted-bg: #ffebe9;
+  --color-prettylights-syntax-markup-inserted-text: #116329;
+  --color-prettylights-syntax-markup-inserted-bg: #dafbe1;
+  --color-prettylights-syntax-markup-changed-text: #953800;
+  --color-prettylights-syntax-markup-changed-bg: #ffd8b5;
+  --color-prettylights-syntax-markup-ignored-text: #eaeef2;
+  --color-prettylights-syntax-markup-ignored-bg: #0550ae;
+  --color-prettylights-syntax-meta-diff-range: #8250df;
+  --color-prettylights-syntax-brackethighlighter-angle: #57606a;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #8c959f;
+  --color-prettylights-syntax-constant-other-reference-link: #0a3069;
+  --color-fg-default: #1F2328;
+  --color-fg-muted: #656d76;
+  --color-fg-subtle: #6e7781;
+  --color-canvas-default: #ffffff;
+  --color-canvas-subtle: #f6f8fa;
+  --color-border-default: #d0d7de;
+  --color-border-muted: hsla(210,18%,87%,1);
+  --color-neutral-muted: rgba(175,184,193,0.2);
+  --color-accent-fg: #0969da;
+  --color-accent-emphasis: #0969da;
+  --color-attention-subtle: #fff8c5;
+  --color-danger-fg: #d1242f;
+  --color-prettylights-syntax-comment: #6e7781;
+  --color-prettylights-syntax-constant: #0550ae;
+  --color-prettylights-syntax-entity: #6639ba;
+  --color-prettylights-syntax-storage-modifier-import: #24292f;
+  --color-prettylights-syntax-entity-tag: #116329;
+  --color-prettylights-syntax-keyword: #cf222e;
+  --color-prettylights-syntax-string: #0a3069;
+  --color-prettylights-syntax-variable: #953800;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #82071e;
+  --color-prettylights-syntax-invalid-illegal-text: #f6f8fa;
+  --color-prettylights-syntax-invalid-illegal-bg: #82071e;
+  --color-prettylights-syntax-carriage-return-text: #f6f8fa;
+  --color-prettylights-syntax-carriage-return-bg: #cf222e;
+  --color-prettylights-syntax-string-regexp: #116329;
+  --color-prettylights-syntax-markup-list: #3b2300;
+  --color-prettylights-syntax-markup-heading: #0550ae;
+  --color-prettylights-syntax-markup-italic: #24292f;
+  --color-prettylights-syntax-markup-bold: #24292f;
+  --color-prettylights-syntax-markup-deleted-text: #82071e;
+  --color-prettylights-syntax-markup-deleted-bg: #ffebe9;
+  --color-prettylights-syntax-markup-inserted-text: #116329;
+  --color-prettylights-syntax-markup-inserted-bg: #dafbe1;
+  --color-prettylights-syntax-markup-changed-text: #953800;
+  --color-prettylights-syntax-markup-changed-bg: #ffd8b5;
+  --color-prettylights-syntax-markup-ignored-text: #eaeef2;
+  --color-prettylights-syntax-markup-ignored-bg: #0550ae;
+  --color-prettylights-syntax-meta-diff-range: #8250df;
+  --color-prettylights-syntax-brackethighlighter-angle: #57606a;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #8c959f;
+  --color-prettylights-syntax-constant-other-reference-link: #0a3069;
+  --color-fg-default: #1F2328;
+  --color-fg-muted: #656d76;
+  --color-fg-subtle: #6e7781;
+  --color-canvas-default: #ffffff;
+  --color-canvas-subtle: #f6f8fa;
+  --color-border-default: #d0d7de;
+  --color-border-muted: hsla(210,18%,87%,1);
+  --color-neutral-muted: rgba(175,184,193,0.2);
+  --color-accent-fg: #0969da;
+  --color-accent-emphasis: #0969da;
+  --color-attention-subtle: #fff8c5;
+  --color-danger-fg: #d1242f;
+  --color-prettylights-syntax-comment: #6e7781;
+  --color-prettylights-syntax-constant: #0550ae;
+  --color-prettylights-syntax-entity: #6639ba;
+  --color-prettylights-syntax-storage-modifier-import: #24292f;
+  --color-prettylights-syntax-entity-tag: #116329;
+  --color-prettylights-syntax-keyword: #cf222e;
+  --color-prettylights-syntax-string: #0a3069;
+  --color-prettylights-syntax-variable: #953800;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #82071e;
+  --color-prettylights-syntax-invalid-illegal-text: #f6f8fa;
+  --color-prettylights-syntax-invalid-illegal-bg: #82071e;
+  --color-prettylights-syntax-carriage-return-text: #f6f8fa;
+  --color-prettylights-syntax-carriage-return-bg: #cf222e;
+  --color-prettylights-syntax-string-regexp: #116329;
+  --color-prettylights-syntax-markup-list: #3b2300;
+  --color-prettylights-syntax-markup-heading: #0550ae;
+  --color-prettylights-syntax-markup-italic: #24292f;
+  --color-prettylights-syntax-markup-bold: #24292f;
+  --color-prettylights-syntax-markup-deleted-text: #82071e;
+  --color-prettylights-syntax-markup-deleted-bg: #ffebe9;
+  --color-prettylights-syntax-markup-inserted-text: #116329;
+  --color-prettylights-syntax-markup-inserted-bg: #dafbe1;
+  --color-prettylights-syntax-markup-changed-text: #953800;
+  --color-prettylights-syntax-markup-changed-bg: #ffd8b5;
+  --color-prettylights-syntax-markup-ignored-text: #eaeef2;
+  --color-prettylights-syntax-markup-ignored-bg: #0550ae;
+  --color-prettylights-syntax-meta-diff-range: #8250df;
+  --color-prettylights-syntax-brackethighlighter-angle: #57606a;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #8c959f;
+  --color-prettylights-syntax-constant-other-reference-link: #0a3069;
+  --color-fg-default: #1F2328;
+  --color-fg-muted: #656d76;
+  --color-fg-subtle: #6e7781;
+  --color-canvas-default: #ffffff;
+  --color-canvas-subtle: #f6f8fa;
+  --color-border-default: #d0d7de;
+  --color-border-muted: hsla(210,18%,87%,1);
+  --color-neutral-muted: rgba(175,184,193,0.2);
+  --color-accent-fg: #0969da;
+  --color-accent-emphasis: #0969da;
+  --color-attention-subtle: #fff8c5;
+  --color-danger-fg: #d1242f;
+}
+@media (prefers-color-scheme: light) {
+  [data-color-mode='system'][data-light-theme=light] {
+  /*light*/
+  color-scheme: light;
+  --color-prettylights-syntax-comment: #6e7781;
+  --color-prettylights-syntax-constant: #0550ae;
+  --color-prettylights-syntax-entity: #6639ba;
+  --color-prettylights-syntax-storage-modifier-import: #24292f;
+  --color-prettylights-syntax-entity-tag: #116329;
+  --color-prettylights-syntax-keyword: #cf222e;
+  --color-prettylights-syntax-string: #0a3069;
+  --color-prettylights-syntax-variable: #953800;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #82071e;
+  --color-prettylights-syntax-invalid-illegal-text: #f6f8fa;
+  --color-prettylights-syntax-invalid-illegal-bg: #82071e;
+  --color-prettylights-syntax-carriage-return-text: #f6f8fa;
+  --color-prettylights-syntax-carriage-return-bg: #cf222e;
+  --color-prettylights-syntax-string-regexp: #116329;
+  --color-prettylights-syntax-markup-list: #3b2300;
+  --color-prettylights-syntax-markup-heading: #0550ae;
+  --color-prettylights-syntax-markup-italic: #24292f;
+  --color-prettylights-syntax-markup-bold: #24292f;
+  --color-prettylights-syntax-markup-deleted-text: #82071e;
+  --color-prettylights-syntax-markup-deleted-bg: #ffebe9;
+  --color-prettylights-syntax-markup-inserted-text: #116329;
+  --color-prettylights-syntax-markup-inserted-bg: #dafbe1;
+  --color-prettylights-syntax-markup-changed-text: #953800;
+  --color-prettylights-syntax-markup-changed-bg: #ffd8b5;
+  --color-prettylights-syntax-markup-ignored-text: #eaeef2;
+  --color-prettylights-syntax-markup-ignored-bg: #0550ae;
+  --color-prettylights-syntax-meta-diff-range: #8250df;
+  --color-prettylights-syntax-brackethighlighter-angle: #57606a;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #8c959f;
+  --color-prettylights-syntax-constant-other-reference-link: #0a3069;
+  --color-fg-default: #1F2328;
+  --color-fg-muted: #656d76;
+  --color-fg-subtle: #6e7781;
+  --color-canvas-default: #ffffff;
+  --color-canvas-subtle: #f6f8fa;
+  --color-border-default: #d0d7de;
+  --color-border-muted: hsla(210,18%,87%,1);
+  --color-neutral-muted: rgba(175,184,193,0.2);
+  --color-accent-fg: #0969da;
+  --color-accent-emphasis: #0969da;
+  --color-attention-subtle: #fff8c5;
+  --color-danger-fg: #d1242f;
+  --color-prettylights-syntax-comment: #6e7781;
+  --color-prettylights-syntax-constant: #0550ae;
+  --color-prettylights-syntax-entity: #6639ba;
+  --color-prettylights-syntax-storage-modifier-import: #24292f;
+  --color-prettylights-syntax-entity-tag: #116329;
+  --color-prettylights-syntax-keyword: #cf222e;
+  --color-prettylights-syntax-string: #0a3069;
+  --color-prettylights-syntax-variable: #953800;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #82071e;
+  --color-prettylights-syntax-invalid-illegal-text: #f6f8fa;
+  --color-prettylights-syntax-invalid-illegal-bg: #82071e;
+  --color-prettylights-syntax-carriage-return-text: #f6f8fa;
+  --color-prettylights-syntax-carriage-return-bg: #cf222e;
+  --color-prettylights-syntax-string-regexp: #116329;
+  --color-prettylights-syntax-markup-list: #3b2300;
+  --color-prettylights-syntax-markup-heading: #0550ae;
+  --color-prettylights-syntax-markup-italic: #24292f;
+  --color-prettylights-syntax-markup-bold: #24292f;
+  --color-prettylights-syntax-markup-deleted-text: #82071e;
+  --color-prettylights-syntax-markup-deleted-bg: #ffebe9;
+  --color-prettylights-syntax-markup-inserted-text: #116329;
+  --color-prettylights-syntax-markup-inserted-bg: #dafbe1;
+  --color-prettylights-syntax-markup-changed-text: #953800;
+  --color-prettylights-syntax-markup-changed-bg: #ffd8b5;
+  --color-prettylights-syntax-markup-ignored-text: #eaeef2;
+  --color-prettylights-syntax-markup-ignored-bg: #0550ae;
+  --color-prettylights-syntax-meta-diff-range: #8250df;
+  --color-prettylights-syntax-brackethighlighter-angle: #57606a;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #8c959f;
+  --color-prettylights-syntax-constant-other-reference-link: #0a3069;
+  --color-fg-default: #1F2328;
+  --color-fg-muted: #656d76;
+  --color-fg-subtle: #6e7781;
+  --color-canvas-default: #ffffff;
+  --color-canvas-subtle: #f6f8fa;
+  --color-border-default: #d0d7de;
+  --color-border-muted: hsla(210,18%,87%,1);
+  --color-neutral-muted: rgba(175,184,193,0.2);
+  --color-accent-fg: #0969da;
+  --color-accent-emphasis: #0969da;
+  --color-attention-subtle: #fff8c5;
+  --color-danger-fg: #d1242f;
+  --color-prettylights-syntax-comment: #6e7781;
+  --color-prettylights-syntax-constant: #0550ae;
+  --color-prettylights-syntax-entity: #6639ba;
+  --color-prettylights-syntax-storage-modifier-import: #24292f;
+  --color-prettylights-syntax-entity-tag: #116329;
+  --color-prettylights-syntax-keyword: #cf222e;
+  --color-prettylights-syntax-string: #0a3069;
+  --color-prettylights-syntax-variable: #953800;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #82071e;
+  --color-prettylights-syntax-invalid-illegal-text: #f6f8fa;
+  --color-prettylights-syntax-invalid-illegal-bg: #82071e;
+  --color-prettylights-syntax-carriage-return-text: #f6f8fa;
+  --color-prettylights-syntax-carriage-return-bg: #cf222e;
+  --color-prettylights-syntax-string-regexp: #116329;
+  --color-prettylights-syntax-markup-list: #3b2300;
+  --color-prettylights-syntax-markup-heading: #0550ae;
+  --color-prettylights-syntax-markup-italic: #24292f;
+  --color-prettylights-syntax-markup-bold: #24292f;
+  --color-prettylights-syntax-markup-deleted-text: #82071e;
+  --color-prettylights-syntax-markup-deleted-bg: #ffebe9;
+  --color-prettylights-syntax-markup-inserted-text: #116329;
+  --color-prettylights-syntax-markup-inserted-bg: #dafbe1;
+  --color-prettylights-syntax-markup-changed-text: #953800;
+  --color-prettylights-syntax-markup-changed-bg: #ffd8b5;
+  --color-prettylights-syntax-markup-ignored-text: #eaeef2;
+  --color-prettylights-syntax-markup-ignored-bg: #0550ae;
+  --color-prettylights-syntax-meta-diff-range: #8250df;
+  --color-prettylights-syntax-brackethighlighter-angle: #57606a;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #8c959f;
+  --color-prettylights-syntax-constant-other-reference-link: #0a3069;
+  --color-fg-default: #1F2328;
+  --color-fg-muted: #656d76;
+  --color-fg-subtle: #6e7781;
+  --color-canvas-default: #ffffff;
+  --color-canvas-subtle: #f6f8fa;
+  --color-border-default: #d0d7de;
+  --color-border-muted: hsla(210,18%,87%,1);
+  --color-neutral-muted: rgba(175,184,193,0.2);
+  --color-accent-fg: #0969da;
+  --color-accent-emphasis: #0969da;
+  --color-attention-subtle: #fff8c5;
+  --color-danger-fg: #d1242f;
+}
+}
+
+@media (prefers-color-scheme: dark) {
+  [data-color-mode='system'][data-dark-theme=light] {
+  /*light*/
+  color-scheme: light;
+  --color-prettylights-syntax-comment: #6e7781;
+  --color-prettylights-syntax-constant: #0550ae;
+  --color-prettylights-syntax-entity: #6639ba;
+  --color-prettylights-syntax-storage-modifier-import: #24292f;
+  --color-prettylights-syntax-entity-tag: #116329;
+  --color-prettylights-syntax-keyword: #cf222e;
+  --color-prettylights-syntax-string: #0a3069;
+  --color-prettylights-syntax-variable: #953800;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #82071e;
+  --color-prettylights-syntax-invalid-illegal-text: #f6f8fa;
+  --color-prettylights-syntax-invalid-illegal-bg: #82071e;
+  --color-prettylights-syntax-carriage-return-text: #f6f8fa;
+  --color-prettylights-syntax-carriage-return-bg: #cf222e;
+  --color-prettylights-syntax-string-regexp: #116329;
+  --color-prettylights-syntax-markup-list: #3b2300;
+  --color-prettylights-syntax-markup-heading: #0550ae;
+  --color-prettylights-syntax-markup-italic: #24292f;
+  --color-prettylights-syntax-markup-bold: #24292f;
+  --color-prettylights-syntax-markup-deleted-text: #82071e;
+  --color-prettylights-syntax-markup-deleted-bg: #ffebe9;
+  --color-prettylights-syntax-markup-inserted-text: #116329;
+  --color-prettylights-syntax-markup-inserted-bg: #dafbe1;
+  --color-prettylights-syntax-markup-changed-text: #953800;
+  --color-prettylights-syntax-markup-changed-bg: #ffd8b5;
+  --color-prettylights-syntax-markup-ignored-text: #eaeef2;
+  --color-prettylights-syntax-markup-ignored-bg: #0550ae;
+  --color-prettylights-syntax-meta-diff-range: #8250df;
+  --color-prettylights-syntax-brackethighlighter-angle: #57606a;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #8c959f;
+  --color-prettylights-syntax-constant-other-reference-link: #0a3069;
+  --color-fg-default: #1F2328;
+  --color-fg-muted: #656d76;
+  --color-fg-subtle: #6e7781;
+  --color-canvas-default: #ffffff;
+  --color-canvas-subtle: #f6f8fa;
+  --color-border-default: #d0d7de;
+  --color-border-muted: hsla(210,18%,87%,1);
+  --color-neutral-muted: rgba(175,184,193,0.2);
+  --color-accent-fg: #0969da;
+  --color-accent-emphasis: #0969da;
+  --color-attention-subtle: #fff8c5;
+  --color-danger-fg: #d1242f;
+  --color-prettylights-syntax-comment: #6e7781;
+  --color-prettylights-syntax-constant: #0550ae;
+  --color-prettylights-syntax-entity: #6639ba;
+  --color-prettylights-syntax-storage-modifier-import: #24292f;
+  --color-prettylights-syntax-entity-tag: #116329;
+  --color-prettylights-syntax-keyword: #cf222e;
+  --color-prettylights-syntax-string: #0a3069;
+  --color-prettylights-syntax-variable: #953800;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #82071e;
+  --color-prettylights-syntax-invalid-illegal-text: #f6f8fa;
+  --color-prettylights-syntax-invalid-illegal-bg: #82071e;
+  --color-prettylights-syntax-carriage-return-text: #f6f8fa;
+  --color-prettylights-syntax-carriage-return-bg: #cf222e;
+  --color-prettylights-syntax-string-regexp: #116329;
+  --color-prettylights-syntax-markup-list: #3b2300;
+  --color-prettylights-syntax-markup-heading: #0550ae;
+  --color-prettylights-syntax-markup-italic: #24292f;
+  --color-prettylights-syntax-markup-bold: #24292f;
+  --color-prettylights-syntax-markup-deleted-text: #82071e;
+  --color-prettylights-syntax-markup-deleted-bg: #ffebe9;
+  --color-prettylights-syntax-markup-inserted-text: #116329;
+  --color-prettylights-syntax-markup-inserted-bg: #dafbe1;
+  --color-prettylights-syntax-markup-changed-text: #953800;
+  --color-prettylights-syntax-markup-changed-bg: #ffd8b5;
+  --color-prettylights-syntax-markup-ignored-text: #eaeef2;
+  --color-prettylights-syntax-markup-ignored-bg: #0550ae;
+  --color-prettylights-syntax-meta-diff-range: #8250df;
+  --color-prettylights-syntax-brackethighlighter-angle: #57606a;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #8c959f;
+  --color-prettylights-syntax-constant-other-reference-link: #0a3069;
+  --color-fg-default: #1F2328;
+  --color-fg-muted: #656d76;
+  --color-fg-subtle: #6e7781;
+  --color-canvas-default: #ffffff;
+  --color-canvas-subtle: #f6f8fa;
+  --color-border-default: #d0d7de;
+  --color-border-muted: hsla(210,18%,87%,1);
+  --color-neutral-muted: rgba(175,184,193,0.2);
+  --color-accent-fg: #0969da;
+  --color-accent-emphasis: #0969da;
+  --color-attention-subtle: #fff8c5;
+  --color-danger-fg: #d1242f;
+  --color-prettylights-syntax-comment: #6e7781;
+  --color-prettylights-syntax-constant: #0550ae;
+  --color-prettylights-syntax-entity: #6639ba;
+  --color-prettylights-syntax-storage-modifier-import: #24292f;
+  --color-prettylights-syntax-entity-tag: #116329;
+  --color-prettylights-syntax-keyword: #cf222e;
+  --color-prettylights-syntax-string: #0a3069;
+  --color-prettylights-syntax-variable: #953800;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #82071e;
+  --color-prettylights-syntax-invalid-illegal-text: #f6f8fa;
+  --color-prettylights-syntax-invalid-illegal-bg: #82071e;
+  --color-prettylights-syntax-carriage-return-text: #f6f8fa;
+  --color-prettylights-syntax-carriage-return-bg: #cf222e;
+  --color-prettylights-syntax-string-regexp: #116329;
+  --color-prettylights-syntax-markup-list: #3b2300;
+  --color-prettylights-syntax-markup-heading: #0550ae;
+  --color-prettylights-syntax-markup-italic: #24292f;
+  --color-prettylights-syntax-markup-bold: #24292f;
+  --color-prettylights-syntax-markup-deleted-text: #82071e;
+  --color-prettylights-syntax-markup-deleted-bg: #ffebe9;
+  --color-prettylights-syntax-markup-inserted-text: #116329;
+  --color-prettylights-syntax-markup-inserted-bg: #dafbe1;
+  --color-prettylights-syntax-markup-changed-text: #953800;
+  --color-prettylights-syntax-markup-changed-bg: #ffd8b5;
+  --color-prettylights-syntax-markup-ignored-text: #eaeef2;
+  --color-prettylights-syntax-markup-ignored-bg: #0550ae;
+  --color-prettylights-syntax-meta-diff-range: #8250df;
+  --color-prettylights-syntax-brackethighlighter-angle: #57606a;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #8c959f;
+  --color-prettylights-syntax-constant-other-reference-link: #0a3069;
+  --color-fg-default: #1F2328;
+  --color-fg-muted: #656d76;
+  --color-fg-subtle: #6e7781;
+  --color-canvas-default: #ffffff;
+  --color-canvas-subtle: #f6f8fa;
+  --color-border-default: #d0d7de;
+  --color-border-muted: hsla(210,18%,87%,1);
+  --color-neutral-muted: rgba(175,184,193,0.2);
+  --color-accent-fg: #0969da;
+  --color-accent-emphasis: #0969da;
+  --color-attention-subtle: #fff8c5;
+  --color-danger-fg: #d1242f;
+}
+}
+
+[data-color-mode=light][data-light-theme=light_colorblind],
+[data-color-mode=dark][data-dark-theme=light_colorblind],
+.vscode-body.vscode-light [data-color-mode=auto][data-light-theme=light_colorblind],
+.vscode-body.vscode-dark [data-color-mode=auto][data-dark-theme=light_colorblind] {
+  /*light_colorblind*/
+  color-scheme: light;
+  --color-prettylights-syntax-comment: #6e7781;
+  --color-prettylights-syntax-constant: #0550ae;
+  --color-prettylights-syntax-entity: #6639ba;
+  --color-prettylights-syntax-storage-modifier-import: #24292f;
+  --color-prettylights-syntax-entity-tag: #0550ae;
+  --color-prettylights-syntax-keyword: #b35900;
+  --color-prettylights-syntax-string: #0a3069;
+  --color-prettylights-syntax-variable: #8a4600;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #6f3800;
+  --color-prettylights-syntax-invalid-illegal-text: #f6f8fa;
+  --color-prettylights-syntax-invalid-illegal-bg: #6f3800;
+  --color-prettylights-syntax-carriage-return-text: #f6f8fa;
+  --color-prettylights-syntax-carriage-return-bg: #b35900;
+  --color-prettylights-syntax-string-regexp: #0550ae;
+  --color-prettylights-syntax-markup-list: #3b2300;
+  --color-prettylights-syntax-markup-heading: #0550ae;
+  --color-prettylights-syntax-markup-italic: #24292f;
+  --color-prettylights-syntax-markup-bold: #24292f;
+  --color-prettylights-syntax-markup-deleted-text: #6f3800;
+  --color-prettylights-syntax-markup-deleted-bg: #fff5e8;
+  --color-prettylights-syntax-markup-inserted-text: #0550ae;
+  --color-prettylights-syntax-markup-inserted-bg: #ddf4ff;
+  --color-prettylights-syntax-markup-changed-text: #8a4600;
+  --color-prettylights-syntax-markup-changed-bg: #ffddb0;
+  --color-prettylights-syntax-markup-ignored-text: #eaeef2;
+  --color-prettylights-syntax-markup-ignored-bg: #0550ae;
+  --color-prettylights-syntax-meta-diff-range: #8250df;
+  --color-prettylights-syntax-brackethighlighter-angle: #57606a;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #8c959f;
+  --color-prettylights-syntax-constant-other-reference-link: #0a3069;
+  --color-fg-default: #24292f;
+  --color-fg-muted: #57606a;
+  --color-fg-subtle: #6e7781;
+  --color-canvas-default: #ffffff;
+  --color-canvas-subtle: #f6f8fa;
+  --color-border-default: #d0d7de;
+  --color-border-muted: hsla(210,18%,87%,1);
+  --color-neutral-muted: rgba(175,184,193,0.2);
+  --color-accent-fg: #0969da;
+  --color-accent-emphasis: #0969da;
+  --color-attention-subtle: #fff8c5;
+  --color-danger-fg: #b35900;
+}
+@media (prefers-color-scheme: light) {
+  [data-color-mode='system'][data-light-theme=light_colorblind] {
+  /*light_colorblind*/
+  color-scheme: light;
+  --color-prettylights-syntax-comment: #6e7781;
+  --color-prettylights-syntax-constant: #0550ae;
+  --color-prettylights-syntax-entity: #6639ba;
+  --color-prettylights-syntax-storage-modifier-import: #24292f;
+  --color-prettylights-syntax-entity-tag: #0550ae;
+  --color-prettylights-syntax-keyword: #b35900;
+  --color-prettylights-syntax-string: #0a3069;
+  --color-prettylights-syntax-variable: #8a4600;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #6f3800;
+  --color-prettylights-syntax-invalid-illegal-text: #f6f8fa;
+  --color-prettylights-syntax-invalid-illegal-bg: #6f3800;
+  --color-prettylights-syntax-carriage-return-text: #f6f8fa;
+  --color-prettylights-syntax-carriage-return-bg: #b35900;
+  --color-prettylights-syntax-string-regexp: #0550ae;
+  --color-prettylights-syntax-markup-list: #3b2300;
+  --color-prettylights-syntax-markup-heading: #0550ae;
+  --color-prettylights-syntax-markup-italic: #24292f;
+  --color-prettylights-syntax-markup-bold: #24292f;
+  --color-prettylights-syntax-markup-deleted-text: #6f3800;
+  --color-prettylights-syntax-markup-deleted-bg: #fff5e8;
+  --color-prettylights-syntax-markup-inserted-text: #0550ae;
+  --color-prettylights-syntax-markup-inserted-bg: #ddf4ff;
+  --color-prettylights-syntax-markup-changed-text: #8a4600;
+  --color-prettylights-syntax-markup-changed-bg: #ffddb0;
+  --color-prettylights-syntax-markup-ignored-text: #eaeef2;
+  --color-prettylights-syntax-markup-ignored-bg: #0550ae;
+  --color-prettylights-syntax-meta-diff-range: #8250df;
+  --color-prettylights-syntax-brackethighlighter-angle: #57606a;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #8c959f;
+  --color-prettylights-syntax-constant-other-reference-link: #0a3069;
+  --color-fg-default: #24292f;
+  --color-fg-muted: #57606a;
+  --color-fg-subtle: #6e7781;
+  --color-canvas-default: #ffffff;
+  --color-canvas-subtle: #f6f8fa;
+  --color-border-default: #d0d7de;
+  --color-border-muted: hsla(210,18%,87%,1);
+  --color-neutral-muted: rgba(175,184,193,0.2);
+  --color-accent-fg: #0969da;
+  --color-accent-emphasis: #0969da;
+  --color-attention-subtle: #fff8c5;
+  --color-danger-fg: #b35900;
+}
+}
+
+@media (prefers-color-scheme: dark) {
+  [data-color-mode='system'][data-dark-theme=light_colorblind] {
+  /*light_colorblind*/
+  color-scheme: light;
+  --color-prettylights-syntax-comment: #6e7781;
+  --color-prettylights-syntax-constant: #0550ae;
+  --color-prettylights-syntax-entity: #6639ba;
+  --color-prettylights-syntax-storage-modifier-import: #24292f;
+  --color-prettylights-syntax-entity-tag: #0550ae;
+  --color-prettylights-syntax-keyword: #b35900;
+  --color-prettylights-syntax-string: #0a3069;
+  --color-prettylights-syntax-variable: #8a4600;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #6f3800;
+  --color-prettylights-syntax-invalid-illegal-text: #f6f8fa;
+  --color-prettylights-syntax-invalid-illegal-bg: #6f3800;
+  --color-prettylights-syntax-carriage-return-text: #f6f8fa;
+  --color-prettylights-syntax-carriage-return-bg: #b35900;
+  --color-prettylights-syntax-string-regexp: #0550ae;
+  --color-prettylights-syntax-markup-list: #3b2300;
+  --color-prettylights-syntax-markup-heading: #0550ae;
+  --color-prettylights-syntax-markup-italic: #24292f;
+  --color-prettylights-syntax-markup-bold: #24292f;
+  --color-prettylights-syntax-markup-deleted-text: #6f3800;
+  --color-prettylights-syntax-markup-deleted-bg: #fff5e8;
+  --color-prettylights-syntax-markup-inserted-text: #0550ae;
+  --color-prettylights-syntax-markup-inserted-bg: #ddf4ff;
+  --color-prettylights-syntax-markup-changed-text: #8a4600;
+  --color-prettylights-syntax-markup-changed-bg: #ffddb0;
+  --color-prettylights-syntax-markup-ignored-text: #eaeef2;
+  --color-prettylights-syntax-markup-ignored-bg: #0550ae;
+  --color-prettylights-syntax-meta-diff-range: #8250df;
+  --color-prettylights-syntax-brackethighlighter-angle: #57606a;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #8c959f;
+  --color-prettylights-syntax-constant-other-reference-link: #0a3069;
+  --color-fg-default: #24292f;
+  --color-fg-muted: #57606a;
+  --color-fg-subtle: #6e7781;
+  --color-canvas-default: #ffffff;
+  --color-canvas-subtle: #f6f8fa;
+  --color-border-default: #d0d7de;
+  --color-border-muted: hsla(210,18%,87%,1);
+  --color-neutral-muted: rgba(175,184,193,0.2);
+  --color-accent-fg: #0969da;
+  --color-accent-emphasis: #0969da;
+  --color-attention-subtle: #fff8c5;
+  --color-danger-fg: #b35900;
+}
+}
+
+[data-color-mode=light][data-light-theme=light_tritanopia],
+[data-color-mode=dark][data-dark-theme=light_tritanopia],
+.vscode-body.vscode-light [data-color-mode=auto][data-light-theme=light_tritanopia],
+.vscode-body.vscode-dark [data-color-mode=auto][data-dark-theme=light_tritanopia] {
+  /*light_tritanopia*/
+  color-scheme: light;
+  --color-prettylights-syntax-comment: #6e7781;
+  --color-prettylights-syntax-constant: #0550ae;
+  --color-prettylights-syntax-entity: #6639ba;
+  --color-prettylights-syntax-storage-modifier-import: #24292f;
+  --color-prettylights-syntax-entity-tag: #0550ae;
+  --color-prettylights-syntax-keyword: #cf222e;
+  --color-prettylights-syntax-string: #0a3069;
+  --color-prettylights-syntax-variable: #a40e26;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #82071e;
+  --color-prettylights-syntax-invalid-illegal-text: #f6f8fa;
+  --color-prettylights-syntax-invalid-illegal-bg: #82071e;
+  --color-prettylights-syntax-carriage-return-text: #f6f8fa;
+  --color-prettylights-syntax-carriage-return-bg: #cf222e;
+  --color-prettylights-syntax-string-regexp: #0550ae;
+  --color-prettylights-syntax-markup-list: #3b2300;
+  --color-prettylights-syntax-markup-heading: #0550ae;
+  --color-prettylights-syntax-markup-italic: #24292f;
+  --color-prettylights-syntax-markup-bold: #24292f;
+  --color-prettylights-syntax-markup-deleted-text: #82071e;
+  --color-prettylights-syntax-markup-deleted-bg: #ffebe9;
+  --color-prettylights-syntax-markup-inserted-text: #0550ae;
+  --color-prettylights-syntax-markup-inserted-bg: #ddf4ff;
+  --color-prettylights-syntax-markup-changed-text: #a40e26;
+  --color-prettylights-syntax-markup-changed-bg: #ffcecb;
+  --color-prettylights-syntax-markup-ignored-text: #eaeef2;
+  --color-prettylights-syntax-markup-ignored-bg: #0550ae;
+  --color-prettylights-syntax-meta-diff-range: #8250df;
+  --color-prettylights-syntax-brackethighlighter-angle: #57606a;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #8c959f;
+  --color-prettylights-syntax-constant-other-reference-link: #0a3069;
+  --color-fg-default: #24292f;
+  --color-fg-muted: #57606a;
+  --color-fg-subtle: #6e7781;
+  --color-canvas-default: #ffffff;
+  --color-canvas-subtle: #f6f8fa;
+  --color-border-default: #d0d7de;
+  --color-border-muted: hsla(210,18%,87%,1);
+  --color-neutral-muted: rgba(175,184,193,0.2);
+  --color-accent-fg: #0969da;
+  --color-accent-emphasis: #0969da;
+  --color-attention-subtle: #fff8c5;
+  --color-danger-fg: #cf222e;
+}
+@media (prefers-color-scheme: light) {
+  [data-color-mode='system'][data-light-theme=light_tritanopia] {
+  /*light_tritanopia*/
+  color-scheme: light;
+  --color-prettylights-syntax-comment: #6e7781;
+  --color-prettylights-syntax-constant: #0550ae;
+  --color-prettylights-syntax-entity: #6639ba;
+  --color-prettylights-syntax-storage-modifier-import: #24292f;
+  --color-prettylights-syntax-entity-tag: #0550ae;
+  --color-prettylights-syntax-keyword: #cf222e;
+  --color-prettylights-syntax-string: #0a3069;
+  --color-prettylights-syntax-variable: #a40e26;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #82071e;
+  --color-prettylights-syntax-invalid-illegal-text: #f6f8fa;
+  --color-prettylights-syntax-invalid-illegal-bg: #82071e;
+  --color-prettylights-syntax-carriage-return-text: #f6f8fa;
+  --color-prettylights-syntax-carriage-return-bg: #cf222e;
+  --color-prettylights-syntax-string-regexp: #0550ae;
+  --color-prettylights-syntax-markup-list: #3b2300;
+  --color-prettylights-syntax-markup-heading: #0550ae;
+  --color-prettylights-syntax-markup-italic: #24292f;
+  --color-prettylights-syntax-markup-bold: #24292f;
+  --color-prettylights-syntax-markup-deleted-text: #82071e;
+  --color-prettylights-syntax-markup-deleted-bg: #ffebe9;
+  --color-prettylights-syntax-markup-inserted-text: #0550ae;
+  --color-prettylights-syntax-markup-inserted-bg: #ddf4ff;
+  --color-prettylights-syntax-markup-changed-text: #a40e26;
+  --color-prettylights-syntax-markup-changed-bg: #ffcecb;
+  --color-prettylights-syntax-markup-ignored-text: #eaeef2;
+  --color-prettylights-syntax-markup-ignored-bg: #0550ae;
+  --color-prettylights-syntax-meta-diff-range: #8250df;
+  --color-prettylights-syntax-brackethighlighter-angle: #57606a;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #8c959f;
+  --color-prettylights-syntax-constant-other-reference-link: #0a3069;
+  --color-fg-default: #24292f;
+  --color-fg-muted: #57606a;
+  --color-fg-subtle: #6e7781;
+  --color-canvas-default: #ffffff;
+  --color-canvas-subtle: #f6f8fa;
+  --color-border-default: #d0d7de;
+  --color-border-muted: hsla(210,18%,87%,1);
+  --color-neutral-muted: rgba(175,184,193,0.2);
+  --color-accent-fg: #0969da;
+  --color-accent-emphasis: #0969da;
+  --color-attention-subtle: #fff8c5;
+  --color-danger-fg: #cf222e;
+}
+}
+
+@media (prefers-color-scheme: dark) {
+  [data-color-mode='system'][data-dark-theme=light_tritanopia] {
+  /*light_tritanopia*/
+  color-scheme: light;
+  --color-prettylights-syntax-comment: #6e7781;
+  --color-prettylights-syntax-constant: #0550ae;
+  --color-prettylights-syntax-entity: #6639ba;
+  --color-prettylights-syntax-storage-modifier-import: #24292f;
+  --color-prettylights-syntax-entity-tag: #0550ae;
+  --color-prettylights-syntax-keyword: #cf222e;
+  --color-prettylights-syntax-string: #0a3069;
+  --color-prettylights-syntax-variable: #a40e26;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #82071e;
+  --color-prettylights-syntax-invalid-illegal-text: #f6f8fa;
+  --color-prettylights-syntax-invalid-illegal-bg: #82071e;
+  --color-prettylights-syntax-carriage-return-text: #f6f8fa;
+  --color-prettylights-syntax-carriage-return-bg: #cf222e;
+  --color-prettylights-syntax-string-regexp: #0550ae;
+  --color-prettylights-syntax-markup-list: #3b2300;
+  --color-prettylights-syntax-markup-heading: #0550ae;
+  --color-prettylights-syntax-markup-italic: #24292f;
+  --color-prettylights-syntax-markup-bold: #24292f;
+  --color-prettylights-syntax-markup-deleted-text: #82071e;
+  --color-prettylights-syntax-markup-deleted-bg: #ffebe9;
+  --color-prettylights-syntax-markup-inserted-text: #0550ae;
+  --color-prettylights-syntax-markup-inserted-bg: #ddf4ff;
+  --color-prettylights-syntax-markup-changed-text: #a40e26;
+  --color-prettylights-syntax-markup-changed-bg: #ffcecb;
+  --color-prettylights-syntax-markup-ignored-text: #eaeef2;
+  --color-prettylights-syntax-markup-ignored-bg: #0550ae;
+  --color-prettylights-syntax-meta-diff-range: #8250df;
+  --color-prettylights-syntax-brackethighlighter-angle: #57606a;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #8c959f;
+  --color-prettylights-syntax-constant-other-reference-link: #0a3069;
+  --color-fg-default: #24292f;
+  --color-fg-muted: #57606a;
+  --color-fg-subtle: #6e7781;
+  --color-canvas-default: #ffffff;
+  --color-canvas-subtle: #f6f8fa;
+  --color-border-default: #d0d7de;
+  --color-border-muted: hsla(210,18%,87%,1);
+  --color-neutral-muted: rgba(175,184,193,0.2);
+  --color-accent-fg: #0969da;
+  --color-accent-emphasis: #0969da;
+  --color-attention-subtle: #fff8c5;
+  --color-danger-fg: #cf222e;
+}
+}
+
+[data-color-mode=light][data-light-theme=light_high_contrast],
+[data-color-mode=dark][data-dark-theme=light_high_contrast],
+.vscode-body.vscode-light [data-color-mode=auto][data-light-theme=light_high_contrast],
+.vscode-body.vscode-dark [data-color-mode=auto][data-dark-theme=light_high_contrast] {
+  /*light_high_contrast*/
+  color-scheme: light;
+  --color-prettylights-syntax-comment: #66707b;
+  --color-prettylights-syntax-constant: #023b95;
+  --color-prettylights-syntax-entity: #512598;
+  --color-prettylights-syntax-storage-modifier-import: #0e1116;
+  --color-prettylights-syntax-entity-tag: #024c1a;
+  --color-prettylights-syntax-keyword: #a0111f;
+  --color-prettylights-syntax-string: #032563;
+  --color-prettylights-syntax-variable: #702c00;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #6e011a;
+  --color-prettylights-syntax-invalid-illegal-text: #ffffff;
+  --color-prettylights-syntax-invalid-illegal-bg: #6e011a;
+  --color-prettylights-syntax-carriage-return-text: #ffffff;
+  --color-prettylights-syntax-carriage-return-bg: #a0111f;
+  --color-prettylights-syntax-string-regexp: #024c1a;
+  --color-prettylights-syntax-markup-list: #2e1800;
+  --color-prettylights-syntax-markup-heading: #023b95;
+  --color-prettylights-syntax-markup-italic: #0e1116;
+  --color-prettylights-syntax-markup-bold: #0e1116;
+  --color-prettylights-syntax-markup-deleted-text: #6e011a;
+  --color-prettylights-syntax-markup-deleted-bg: #fff0ee;
+  --color-prettylights-syntax-markup-inserted-text: #024c1a;
+  --color-prettylights-syntax-markup-inserted-bg: #d2fedb;
+  --color-prettylights-syntax-markup-changed-text: #702c00;
+  --color-prettylights-syntax-markup-changed-bg: #ffc67b;
+  --color-prettylights-syntax-markup-ignored-text: #e7ecf0;
+  --color-prettylights-syntax-markup-ignored-bg: #023b95;
+  --color-prettylights-syntax-meta-diff-range: #622cbc;
+  --color-prettylights-syntax-brackethighlighter-angle: #4b535d;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #88929d;
+  --color-prettylights-syntax-constant-other-reference-link: #032563;
+  --color-fg-default: #0e1116;
+  --color-fg-muted: #0e1116;
+  --color-fg-subtle: #66707b;
+  --color-canvas-default: #ffffff;
+  --color-canvas-subtle: #e7ecf0;
+  --color-border-default: #20252c;
+  --color-border-muted: #88929d;
+  --color-neutral-muted: rgba(172,182,192,0.2);
+  --color-accent-fg: #0349b4;
+  --color-accent-emphasis: #0349b4;
+  --color-attention-subtle: #fcf7be;
+  --color-danger-fg: #d1242f;
+}
+@media (prefers-color-scheme: light) {
+  [data-color-mode='system'][data-light-theme=light_high_contrast] {
+  /*light_high_contrast*/
+  color-scheme: light;
+  --color-prettylights-syntax-comment: #66707b;
+  --color-prettylights-syntax-constant: #023b95;
+  --color-prettylights-syntax-entity: #512598;
+  --color-prettylights-syntax-storage-modifier-import: #0e1116;
+  --color-prettylights-syntax-entity-tag: #024c1a;
+  --color-prettylights-syntax-keyword: #a0111f;
+  --color-prettylights-syntax-string: #032563;
+  --color-prettylights-syntax-variable: #702c00;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #6e011a;
+  --color-prettylights-syntax-invalid-illegal-text: #ffffff;
+  --color-prettylights-syntax-invalid-illegal-bg: #6e011a;
+  --color-prettylights-syntax-carriage-return-text: #ffffff;
+  --color-prettylights-syntax-carriage-return-bg: #a0111f;
+  --color-prettylights-syntax-string-regexp: #024c1a;
+  --color-prettylights-syntax-markup-list: #2e1800;
+  --color-prettylights-syntax-markup-heading: #023b95;
+  --color-prettylights-syntax-markup-italic: #0e1116;
+  --color-prettylights-syntax-markup-bold: #0e1116;
+  --color-prettylights-syntax-markup-deleted-text: #6e011a;
+  --color-prettylights-syntax-markup-deleted-bg: #fff0ee;
+  --color-prettylights-syntax-markup-inserted-text: #024c1a;
+  --color-prettylights-syntax-markup-inserted-bg: #d2fedb;
+  --color-prettylights-syntax-markup-changed-text: #702c00;
+  --color-prettylights-syntax-markup-changed-bg: #ffc67b;
+  --color-prettylights-syntax-markup-ignored-text: #e7ecf0;
+  --color-prettylights-syntax-markup-ignored-bg: #023b95;
+  --color-prettylights-syntax-meta-diff-range: #622cbc;
+  --color-prettylights-syntax-brackethighlighter-angle: #4b535d;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #88929d;
+  --color-prettylights-syntax-constant-other-reference-link: #032563;
+  --color-fg-default: #0e1116;
+  --color-fg-muted: #0e1116;
+  --color-fg-subtle: #66707b;
+  --color-canvas-default: #ffffff;
+  --color-canvas-subtle: #e7ecf0;
+  --color-border-default: #20252c;
+  --color-border-muted: #88929d;
+  --color-neutral-muted: rgba(172,182,192,0.2);
+  --color-accent-fg: #0349b4;
+  --color-accent-emphasis: #0349b4;
+  --color-attention-subtle: #fcf7be;
+  --color-danger-fg: #d1242f;
+}
+}
+
+@media (prefers-color-scheme: dark) {
+  [data-color-mode='system'][data-dark-theme=light_high_contrast] {
+  /*light_high_contrast*/
+  color-scheme: light;
+  --color-prettylights-syntax-comment: #66707b;
+  --color-prettylights-syntax-constant: #023b95;
+  --color-prettylights-syntax-entity: #512598;
+  --color-prettylights-syntax-storage-modifier-import: #0e1116;
+  --color-prettylights-syntax-entity-tag: #024c1a;
+  --color-prettylights-syntax-keyword: #a0111f;
+  --color-prettylights-syntax-string: #032563;
+  --color-prettylights-syntax-variable: #702c00;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #6e011a;
+  --color-prettylights-syntax-invalid-illegal-text: #ffffff;
+  --color-prettylights-syntax-invalid-illegal-bg: #6e011a;
+  --color-prettylights-syntax-carriage-return-text: #ffffff;
+  --color-prettylights-syntax-carriage-return-bg: #a0111f;
+  --color-prettylights-syntax-string-regexp: #024c1a;
+  --color-prettylights-syntax-markup-list: #2e1800;
+  --color-prettylights-syntax-markup-heading: #023b95;
+  --color-prettylights-syntax-markup-italic: #0e1116;
+  --color-prettylights-syntax-markup-bold: #0e1116;
+  --color-prettylights-syntax-markup-deleted-text: #6e011a;
+  --color-prettylights-syntax-markup-deleted-bg: #fff0ee;
+  --color-prettylights-syntax-markup-inserted-text: #024c1a;
+  --color-prettylights-syntax-markup-inserted-bg: #d2fedb;
+  --color-prettylights-syntax-markup-changed-text: #702c00;
+  --color-prettylights-syntax-markup-changed-bg: #ffc67b;
+  --color-prettylights-syntax-markup-ignored-text: #e7ecf0;
+  --color-prettylights-syntax-markup-ignored-bg: #023b95;
+  --color-prettylights-syntax-meta-diff-range: #622cbc;
+  --color-prettylights-syntax-brackethighlighter-angle: #4b535d;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #88929d;
+  --color-prettylights-syntax-constant-other-reference-link: #032563;
+  --color-fg-default: #0e1116;
+  --color-fg-muted: #0e1116;
+  --color-fg-subtle: #66707b;
+  --color-canvas-default: #ffffff;
+  --color-canvas-subtle: #e7ecf0;
+  --color-border-default: #20252c;
+  --color-border-muted: #88929d;
+  --color-neutral-muted: rgba(172,182,192,0.2);
+  --color-accent-fg: #0349b4;
+  --color-accent-emphasis: #0349b4;
+  --color-attention-subtle: #fcf7be;
+  --color-danger-fg: #d1242f;
+}
+}
+
+[data-color-mode=light][data-light-theme=dark],
+[data-color-mode=dark][data-dark-theme=dark],
+.vscode-body.vscode-light [data-color-mode=auto][data-light-theme=dark],
+.vscode-body.vscode-dark [data-color-mode=auto][data-dark-theme=dark] {
+  /*dark*/
+  color-scheme: dark;
+  --color-prettylights-syntax-comment: #8b949e;
+  --color-prettylights-syntax-constant: #79c0ff;
+  --color-prettylights-syntax-entity: #d2a8ff;
+  --color-prettylights-syntax-storage-modifier-import: #c9d1d9;
+  --color-prettylights-syntax-entity-tag: #7ee787;
+  --color-prettylights-syntax-keyword: #ff7b72;
+  --color-prettylights-syntax-string: #a5d6ff;
+  --color-prettylights-syntax-variable: #ffa657;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #f85149;
+  --color-prettylights-syntax-invalid-illegal-text: #f0f6fc;
+  --color-prettylights-syntax-invalid-illegal-bg: #8e1519;
+  --color-prettylights-syntax-carriage-return-text: #f0f6fc;
+  --color-prettylights-syntax-carriage-return-bg: #b62324;
+  --color-prettylights-syntax-string-regexp: #7ee787;
+  --color-prettylights-syntax-markup-list: #f2cc60;
+  --color-prettylights-syntax-markup-heading: #1f6feb;
+  --color-prettylights-syntax-markup-italic: #c9d1d9;
+  --color-prettylights-syntax-markup-bold: #c9d1d9;
+  --color-prettylights-syntax-markup-deleted-text: #ffdcd7;
+  --color-prettylights-syntax-markup-deleted-bg: #67060c;
+  --color-prettylights-syntax-markup-inserted-text: #aff5b4;
+  --color-prettylights-syntax-markup-inserted-bg: #033a16;
+  --color-prettylights-syntax-markup-changed-text: #ffdfb6;
+  --color-prettylights-syntax-markup-changed-bg: #5a1e02;
+  --color-prettylights-syntax-markup-ignored-text: #c9d1d9;
+  --color-prettylights-syntax-markup-ignored-bg: #1158c7;
+  --color-prettylights-syntax-meta-diff-range: #d2a8ff;
+  --color-prettylights-syntax-brackethighlighter-angle: #8b949e;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #484f58;
+  --color-prettylights-syntax-constant-other-reference-link: #a5d6ff;
+  --color-fg-default: #e6edf3;
+  --color-fg-muted: #7d8590;
+  --color-fg-subtle: #6e7681;
+  --color-canvas-default: #0d1117;
+  --color-canvas-subtle: #161b22;
+  --color-border-default: #30363d;
+  --color-border-muted: #21262d;
+  --color-neutral-muted: rgba(110,118,129,0.4);
+  --color-accent-fg: #2f81f7;
+  --color-accent-emphasis: #1f6feb;
+  --color-attention-subtle: rgba(187,128,9,0.15);
+  --color-danger-fg: #f85149;
+}
+@media (prefers-color-scheme: light) {
+  [data-color-mode='system'][data-light-theme=dark] {
+  /*dark*/
+  color-scheme: dark;
+  --color-prettylights-syntax-comment: #8b949e;
+  --color-prettylights-syntax-constant: #79c0ff;
+  --color-prettylights-syntax-entity: #d2a8ff;
+  --color-prettylights-syntax-storage-modifier-import: #c9d1d9;
+  --color-prettylights-syntax-entity-tag: #7ee787;
+  --color-prettylights-syntax-keyword: #ff7b72;
+  --color-prettylights-syntax-string: #a5d6ff;
+  --color-prettylights-syntax-variable: #ffa657;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #f85149;
+  --color-prettylights-syntax-invalid-illegal-text: #f0f6fc;
+  --color-prettylights-syntax-invalid-illegal-bg: #8e1519;
+  --color-prettylights-syntax-carriage-return-text: #f0f6fc;
+  --color-prettylights-syntax-carriage-return-bg: #b62324;
+  --color-prettylights-syntax-string-regexp: #7ee787;
+  --color-prettylights-syntax-markup-list: #f2cc60;
+  --color-prettylights-syntax-markup-heading: #1f6feb;
+  --color-prettylights-syntax-markup-italic: #c9d1d9;
+  --color-prettylights-syntax-markup-bold: #c9d1d9;
+  --color-prettylights-syntax-markup-deleted-text: #ffdcd7;
+  --color-prettylights-syntax-markup-deleted-bg: #67060c;
+  --color-prettylights-syntax-markup-inserted-text: #aff5b4;
+  --color-prettylights-syntax-markup-inserted-bg: #033a16;
+  --color-prettylights-syntax-markup-changed-text: #ffdfb6;
+  --color-prettylights-syntax-markup-changed-bg: #5a1e02;
+  --color-prettylights-syntax-markup-ignored-text: #c9d1d9;
+  --color-prettylights-syntax-markup-ignored-bg: #1158c7;
+  --color-prettylights-syntax-meta-diff-range: #d2a8ff;
+  --color-prettylights-syntax-brackethighlighter-angle: #8b949e;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #484f58;
+  --color-prettylights-syntax-constant-other-reference-link: #a5d6ff;
+  --color-fg-default: #e6edf3;
+  --color-fg-muted: #7d8590;
+  --color-fg-subtle: #6e7681;
+  --color-canvas-default: #0d1117;
+  --color-canvas-subtle: #161b22;
+  --color-border-default: #30363d;
+  --color-border-muted: #21262d;
+  --color-neutral-muted: rgba(110,118,129,0.4);
+  --color-accent-fg: #2f81f7;
+  --color-accent-emphasis: #1f6feb;
+  --color-attention-subtle: rgba(187,128,9,0.15);
+  --color-danger-fg: #f85149;
+}
+}
+
+@media (prefers-color-scheme: dark) {
+  [data-color-mode='system'][data-dark-theme=dark] {
+  /*dark*/
+  color-scheme: dark;
+  --color-prettylights-syntax-comment: #8b949e;
+  --color-prettylights-syntax-constant: #79c0ff;
+  --color-prettylights-syntax-entity: #d2a8ff;
+  --color-prettylights-syntax-storage-modifier-import: #c9d1d9;
+  --color-prettylights-syntax-entity-tag: #7ee787;
+  --color-prettylights-syntax-keyword: #ff7b72;
+  --color-prettylights-syntax-string: #a5d6ff;
+  --color-prettylights-syntax-variable: #ffa657;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #f85149;
+  --color-prettylights-syntax-invalid-illegal-text: #f0f6fc;
+  --color-prettylights-syntax-invalid-illegal-bg: #8e1519;
+  --color-prettylights-syntax-carriage-return-text: #f0f6fc;
+  --color-prettylights-syntax-carriage-return-bg: #b62324;
+  --color-prettylights-syntax-string-regexp: #7ee787;
+  --color-prettylights-syntax-markup-list: #f2cc60;
+  --color-prettylights-syntax-markup-heading: #1f6feb;
+  --color-prettylights-syntax-markup-italic: #c9d1d9;
+  --color-prettylights-syntax-markup-bold: #c9d1d9;
+  --color-prettylights-syntax-markup-deleted-text: #ffdcd7;
+  --color-prettylights-syntax-markup-deleted-bg: #67060c;
+  --color-prettylights-syntax-markup-inserted-text: #aff5b4;
+  --color-prettylights-syntax-markup-inserted-bg: #033a16;
+  --color-prettylights-syntax-markup-changed-text: #ffdfb6;
+  --color-prettylights-syntax-markup-changed-bg: #5a1e02;
+  --color-prettylights-syntax-markup-ignored-text: #c9d1d9;
+  --color-prettylights-syntax-markup-ignored-bg: #1158c7;
+  --color-prettylights-syntax-meta-diff-range: #d2a8ff;
+  --color-prettylights-syntax-brackethighlighter-angle: #8b949e;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #484f58;
+  --color-prettylights-syntax-constant-other-reference-link: #a5d6ff;
+  --color-fg-default: #e6edf3;
+  --color-fg-muted: #7d8590;
+  --color-fg-subtle: #6e7681;
+  --color-canvas-default: #0d1117;
+  --color-canvas-subtle: #161b22;
+  --color-border-default: #30363d;
+  --color-border-muted: #21262d;
+  --color-neutral-muted: rgba(110,118,129,0.4);
+  --color-accent-fg: #2f81f7;
+  --color-accent-emphasis: #1f6feb;
+  --color-attention-subtle: rgba(187,128,9,0.15);
+  --color-danger-fg: #f85149;
+}
+}
+
+[data-color-mode=light][data-light-theme=dark_dimmed],
+[data-color-mode=dark][data-dark-theme=dark_dimmed],
+.vscode-body.vscode-light [data-color-mode=auto][data-light-theme=dark_dimmed],
+.vscode-body.vscode-dark [data-color-mode=auto][data-dark-theme=dark_dimmed] {
+  /*dark_dimmed*/
+  color-scheme: dark;
+  --color-prettylights-syntax-comment: #768390;
+  --color-prettylights-syntax-constant: #6cb6ff;
+  --color-prettylights-syntax-entity: #dcbdfb;
+  --color-prettylights-syntax-storage-modifier-import: #adbac7;
+  --color-prettylights-syntax-entity-tag: #8ddb8c;
+  --color-prettylights-syntax-keyword: #f47067;
+  --color-prettylights-syntax-string: #96d0ff;
+  --color-prettylights-syntax-variable: #f69d50;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #e5534b;
+  --color-prettylights-syntax-invalid-illegal-text: #cdd9e5;
+  --color-prettylights-syntax-invalid-illegal-bg: #922323;
+  --color-prettylights-syntax-carriage-return-text: #cdd9e5;
+  --color-prettylights-syntax-carriage-return-bg: #ad2e2c;
+  --color-prettylights-syntax-string-regexp: #8ddb8c;
+  --color-prettylights-syntax-markup-list: #eac55f;
+  --color-prettylights-syntax-markup-heading: #316dca;
+  --color-prettylights-syntax-markup-italic: #adbac7;
+  --color-prettylights-syntax-markup-bold: #adbac7;
+  --color-prettylights-syntax-markup-deleted-text: #ffd8d3;
+  --color-prettylights-syntax-markup-deleted-bg: #78191b;
+  --color-prettylights-syntax-markup-inserted-text: #b4f1b4;
+  --color-prettylights-syntax-markup-inserted-bg: #1b4721;
+  --color-prettylights-syntax-markup-changed-text: #ffddb0;
+  --color-prettylights-syntax-markup-changed-bg: #682d0f;
+  --color-prettylights-syntax-markup-ignored-text: #adbac7;
+  --color-prettylights-syntax-markup-ignored-bg: #255ab2;
+  --color-prettylights-syntax-meta-diff-range: #dcbdfb;
+  --color-prettylights-syntax-brackethighlighter-angle: #768390;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #545d68;
+  --color-prettylights-syntax-constant-other-reference-link: #96d0ff;
+  --color-fg-default: #adbac7;
+  --color-fg-muted: #768390;
+  --color-fg-subtle: #636e7b;
+  --color-canvas-default: #22272e;
+  --color-canvas-subtle: #2d333b;
+  --color-border-default: #444c56;
+  --color-border-muted: #373e47;
+  --color-neutral-muted: rgba(99,110,123,0.4);
+  --color-accent-fg: #539bf5;
+  --color-accent-emphasis: #316dca;
+  --color-attention-subtle: rgba(174,124,20,0.15);
+  --color-danger-fg: #e5534b;
+}
+@media (prefers-color-scheme: light) {
+  [data-color-mode='system'][data-light-theme=dark_dimmed] {
+  /*dark_dimmed*/
+  color-scheme: dark;
+  --color-prettylights-syntax-comment: #768390;
+  --color-prettylights-syntax-constant: #6cb6ff;
+  --color-prettylights-syntax-entity: #dcbdfb;
+  --color-prettylights-syntax-storage-modifier-import: #adbac7;
+  --color-prettylights-syntax-entity-tag: #8ddb8c;
+  --color-prettylights-syntax-keyword: #f47067;
+  --color-prettylights-syntax-string: #96d0ff;
+  --color-prettylights-syntax-variable: #f69d50;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #e5534b;
+  --color-prettylights-syntax-invalid-illegal-text: #cdd9e5;
+  --color-prettylights-syntax-invalid-illegal-bg: #922323;
+  --color-prettylights-syntax-carriage-return-text: #cdd9e5;
+  --color-prettylights-syntax-carriage-return-bg: #ad2e2c;
+  --color-prettylights-syntax-string-regexp: #8ddb8c;
+  --color-prettylights-syntax-markup-list: #eac55f;
+  --color-prettylights-syntax-markup-heading: #316dca;
+  --color-prettylights-syntax-markup-italic: #adbac7;
+  --color-prettylights-syntax-markup-bold: #adbac7;
+  --color-prettylights-syntax-markup-deleted-text: #ffd8d3;
+  --color-prettylights-syntax-markup-deleted-bg: #78191b;
+  --color-prettylights-syntax-markup-inserted-text: #b4f1b4;
+  --color-prettylights-syntax-markup-inserted-bg: #1b4721;
+  --color-prettylights-syntax-markup-changed-text: #ffddb0;
+  --color-prettylights-syntax-markup-changed-bg: #682d0f;
+  --color-prettylights-syntax-markup-ignored-text: #adbac7;
+  --color-prettylights-syntax-markup-ignored-bg: #255ab2;
+  --color-prettylights-syntax-meta-diff-range: #dcbdfb;
+  --color-prettylights-syntax-brackethighlighter-angle: #768390;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #545d68;
+  --color-prettylights-syntax-constant-other-reference-link: #96d0ff;
+  --color-fg-default: #adbac7;
+  --color-fg-muted: #768390;
+  --color-fg-subtle: #636e7b;
+  --color-canvas-default: #22272e;
+  --color-canvas-subtle: #2d333b;
+  --color-border-default: #444c56;
+  --color-border-muted: #373e47;
+  --color-neutral-muted: rgba(99,110,123,0.4);
+  --color-accent-fg: #539bf5;
+  --color-accent-emphasis: #316dca;
+  --color-attention-subtle: rgba(174,124,20,0.15);
+  --color-danger-fg: #e5534b;
+}
+}
+
+@media (prefers-color-scheme: dark) {
+  [data-color-mode='system'][data-dark-theme=dark_dimmed] {
+  /*dark_dimmed*/
+  color-scheme: dark;
+  --color-prettylights-syntax-comment: #768390;
+  --color-prettylights-syntax-constant: #6cb6ff;
+  --color-prettylights-syntax-entity: #dcbdfb;
+  --color-prettylights-syntax-storage-modifier-import: #adbac7;
+  --color-prettylights-syntax-entity-tag: #8ddb8c;
+  --color-prettylights-syntax-keyword: #f47067;
+  --color-prettylights-syntax-string: #96d0ff;
+  --color-prettylights-syntax-variable: #f69d50;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #e5534b;
+  --color-prettylights-syntax-invalid-illegal-text: #cdd9e5;
+  --color-prettylights-syntax-invalid-illegal-bg: #922323;
+  --color-prettylights-syntax-carriage-return-text: #cdd9e5;
+  --color-prettylights-syntax-carriage-return-bg: #ad2e2c;
+  --color-prettylights-syntax-string-regexp: #8ddb8c;
+  --color-prettylights-syntax-markup-list: #eac55f;
+  --color-prettylights-syntax-markup-heading: #316dca;
+  --color-prettylights-syntax-markup-italic: #adbac7;
+  --color-prettylights-syntax-markup-bold: #adbac7;
+  --color-prettylights-syntax-markup-deleted-text: #ffd8d3;
+  --color-prettylights-syntax-markup-deleted-bg: #78191b;
+  --color-prettylights-syntax-markup-inserted-text: #b4f1b4;
+  --color-prettylights-syntax-markup-inserted-bg: #1b4721;
+  --color-prettylights-syntax-markup-changed-text: #ffddb0;
+  --color-prettylights-syntax-markup-changed-bg: #682d0f;
+  --color-prettylights-syntax-markup-ignored-text: #adbac7;
+  --color-prettylights-syntax-markup-ignored-bg: #255ab2;
+  --color-prettylights-syntax-meta-diff-range: #dcbdfb;
+  --color-prettylights-syntax-brackethighlighter-angle: #768390;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #545d68;
+  --color-prettylights-syntax-constant-other-reference-link: #96d0ff;
+  --color-fg-default: #adbac7;
+  --color-fg-muted: #768390;
+  --color-fg-subtle: #636e7b;
+  --color-canvas-default: #22272e;
+  --color-canvas-subtle: #2d333b;
+  --color-border-default: #444c56;
+  --color-border-muted: #373e47;
+  --color-neutral-muted: rgba(99,110,123,0.4);
+  --color-accent-fg: #539bf5;
+  --color-accent-emphasis: #316dca;
+  --color-attention-subtle: rgba(174,124,20,0.15);
+  --color-danger-fg: #e5534b;
+}
+}
+
+[data-color-mode=light][data-light-theme=dark_colorblind],
+[data-color-mode=dark][data-dark-theme=dark_colorblind],
+.vscode-body.vscode-light [data-color-mode=auto][data-light-theme=dark_colorblind],
+.vscode-body.vscode-dark [data-color-mode=auto][data-dark-theme=dark_colorblind] {
+  /*dark_colorblind*/
+  color-scheme: dark;
+  --color-prettylights-syntax-comment: #8b949e;
+  --color-prettylights-syntax-constant: #79c0ff;
+  --color-prettylights-syntax-entity: #d2a8ff;
+  --color-prettylights-syntax-storage-modifier-import: #c9d1d9;
+  --color-prettylights-syntax-entity-tag: #a5d6ff;
+  --color-prettylights-syntax-keyword: #ec8e2c;
+  --color-prettylights-syntax-string: #a5d6ff;
+  --color-prettylights-syntax-variable: #fdac54;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #d47616;
+  --color-prettylights-syntax-invalid-illegal-text: #f0f6fc;
+  --color-prettylights-syntax-invalid-illegal-bg: #6c3906;
+  --color-prettylights-syntax-carriage-return-text: #f0f6fc;
+  --color-prettylights-syntax-carriage-return-bg: #914d04;
+  --color-prettylights-syntax-string-regexp: #a5d6ff;
+  --color-prettylights-syntax-markup-list: #f2cc60;
+  --color-prettylights-syntax-markup-heading: #1f6feb;
+  --color-prettylights-syntax-markup-italic: #c9d1d9;
+  --color-prettylights-syntax-markup-bold: #c9d1d9;
+  --color-prettylights-syntax-markup-deleted-text: #ffe2bb;
+  --color-prettylights-syntax-markup-deleted-bg: #4e2906;
+  --color-prettylights-syntax-markup-inserted-text: #cae8ff;
+  --color-prettylights-syntax-markup-inserted-bg: #0c2d6b;
+  --color-prettylights-syntax-markup-changed-text: #ffe2bb;
+  --color-prettylights-syntax-markup-changed-bg: #4e2906;
+  --color-prettylights-syntax-markup-ignored-text: #c9d1d9;
+  --color-prettylights-syntax-markup-ignored-bg: #1158c7;
+  --color-prettylights-syntax-meta-diff-range: #d2a8ff;
+  --color-prettylights-syntax-brackethighlighter-angle: #8b949e;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #484f58;
+  --color-prettylights-syntax-constant-other-reference-link: #a5d6ff;
+  --color-fg-default: #c9d1d9;
+  --color-fg-muted: #8b949e;
+  --color-fg-subtle: #6e7681;
+  --color-canvas-default: #0d1117;
+  --color-canvas-subtle: #161b22;
+  --color-border-default: #30363d;
+  --color-border-muted: #21262d;
+  --color-neutral-muted: rgba(110,118,129,0.4);
+  --color-accent-fg: #58a6ff;
+  --color-accent-emphasis: #1f6feb;
+  --color-attention-subtle: rgba(187,128,9,0.15);
+  --color-danger-fg: #d47616;
+}
+@media (prefers-color-scheme: light) {
+  [data-color-mode='system'][data-light-theme=dark_colorblind] {
+  /*dark_colorblind*/
+  color-scheme: dark;
+  --color-prettylights-syntax-comment: #8b949e;
+  --color-prettylights-syntax-constant: #79c0ff;
+  --color-prettylights-syntax-entity: #d2a8ff;
+  --color-prettylights-syntax-storage-modifier-import: #c9d1d9;
+  --color-prettylights-syntax-entity-tag: #a5d6ff;
+  --color-prettylights-syntax-keyword: #ec8e2c;
+  --color-prettylights-syntax-string: #a5d6ff;
+  --color-prettylights-syntax-variable: #fdac54;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #d47616;
+  --color-prettylights-syntax-invalid-illegal-text: #f0f6fc;
+  --color-prettylights-syntax-invalid-illegal-bg: #6c3906;
+  --color-prettylights-syntax-carriage-return-text: #f0f6fc;
+  --color-prettylights-syntax-carriage-return-bg: #914d04;
+  --color-prettylights-syntax-string-regexp: #a5d6ff;
+  --color-prettylights-syntax-markup-list: #f2cc60;
+  --color-prettylights-syntax-markup-heading: #1f6feb;
+  --color-prettylights-syntax-markup-italic: #c9d1d9;
+  --color-prettylights-syntax-markup-bold: #c9d1d9;
+  --color-prettylights-syntax-markup-deleted-text: #ffe2bb;
+  --color-prettylights-syntax-markup-deleted-bg: #4e2906;
+  --color-prettylights-syntax-markup-inserted-text: #cae8ff;
+  --color-prettylights-syntax-markup-inserted-bg: #0c2d6b;
+  --color-prettylights-syntax-markup-changed-text: #ffe2bb;
+  --color-prettylights-syntax-markup-changed-bg: #4e2906;
+  --color-prettylights-syntax-markup-ignored-text: #c9d1d9;
+  --color-prettylights-syntax-markup-ignored-bg: #1158c7;
+  --color-prettylights-syntax-meta-diff-range: #d2a8ff;
+  --color-prettylights-syntax-brackethighlighter-angle: #8b949e;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #484f58;
+  --color-prettylights-syntax-constant-other-reference-link: #a5d6ff;
+  --color-fg-default: #c9d1d9;
+  --color-fg-muted: #8b949e;
+  --color-fg-subtle: #6e7681;
+  --color-canvas-default: #0d1117;
+  --color-canvas-subtle: #161b22;
+  --color-border-default: #30363d;
+  --color-border-muted: #21262d;
+  --color-neutral-muted: rgba(110,118,129,0.4);
+  --color-accent-fg: #58a6ff;
+  --color-accent-emphasis: #1f6feb;
+  --color-attention-subtle: rgba(187,128,9,0.15);
+  --color-danger-fg: #d47616;
+}
+}
+
+@media (prefers-color-scheme: dark) {
+  [data-color-mode='system'][data-dark-theme=dark_colorblind] {
+  /*dark_colorblind*/
+  color-scheme: dark;
+  --color-prettylights-syntax-comment: #8b949e;
+  --color-prettylights-syntax-constant: #79c0ff;
+  --color-prettylights-syntax-entity: #d2a8ff;
+  --color-prettylights-syntax-storage-modifier-import: #c9d1d9;
+  --color-prettylights-syntax-entity-tag: #a5d6ff;
+  --color-prettylights-syntax-keyword: #ec8e2c;
+  --color-prettylights-syntax-string: #a5d6ff;
+  --color-prettylights-syntax-variable: #fdac54;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #d47616;
+  --color-prettylights-syntax-invalid-illegal-text: #f0f6fc;
+  --color-prettylights-syntax-invalid-illegal-bg: #6c3906;
+  --color-prettylights-syntax-carriage-return-text: #f0f6fc;
+  --color-prettylights-syntax-carriage-return-bg: #914d04;
+  --color-prettylights-syntax-string-regexp: #a5d6ff;
+  --color-prettylights-syntax-markup-list: #f2cc60;
+  --color-prettylights-syntax-markup-heading: #1f6feb;
+  --color-prettylights-syntax-markup-italic: #c9d1d9;
+  --color-prettylights-syntax-markup-bold: #c9d1d9;
+  --color-prettylights-syntax-markup-deleted-text: #ffe2bb;
+  --color-prettylights-syntax-markup-deleted-bg: #4e2906;
+  --color-prettylights-syntax-markup-inserted-text: #cae8ff;
+  --color-prettylights-syntax-markup-inserted-bg: #0c2d6b;
+  --color-prettylights-syntax-markup-changed-text: #ffe2bb;
+  --color-prettylights-syntax-markup-changed-bg: #4e2906;
+  --color-prettylights-syntax-markup-ignored-text: #c9d1d9;
+  --color-prettylights-syntax-markup-ignored-bg: #1158c7;
+  --color-prettylights-syntax-meta-diff-range: #d2a8ff;
+  --color-prettylights-syntax-brackethighlighter-angle: #8b949e;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #484f58;
+  --color-prettylights-syntax-constant-other-reference-link: #a5d6ff;
+  --color-fg-default: #c9d1d9;
+  --color-fg-muted: #8b949e;
+  --color-fg-subtle: #6e7681;
+  --color-canvas-default: #0d1117;
+  --color-canvas-subtle: #161b22;
+  --color-border-default: #30363d;
+  --color-border-muted: #21262d;
+  --color-neutral-muted: rgba(110,118,129,0.4);
+  --color-accent-fg: #58a6ff;
+  --color-accent-emphasis: #1f6feb;
+  --color-attention-subtle: rgba(187,128,9,0.15);
+  --color-danger-fg: #d47616;
+}
+}
+
+[data-color-mode=light][data-light-theme=dark_tritanopia],
+[data-color-mode=dark][data-dark-theme=dark_tritanopia],
+.vscode-body.vscode-light [data-color-mode=auto][data-light-theme=dark_tritanopia],
+.vscode-body.vscode-dark [data-color-mode=auto][data-dark-theme=dark_tritanopia] {
+  /*dark_tritanopia*/
+  color-scheme: dark;
+  --color-prettylights-syntax-comment: #8b949e;
+  --color-prettylights-syntax-constant: #79c0ff;
+  --color-prettylights-syntax-entity: #d2a8ff;
+  --color-prettylights-syntax-storage-modifier-import: #c9d1d9;
+  --color-prettylights-syntax-entity-tag: #a5d6ff;
+  --color-prettylights-syntax-keyword: #ff7b72;
+  --color-prettylights-syntax-string: #a5d6ff;
+  --color-prettylights-syntax-variable: #ffa198;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #f85149;
+  --color-prettylights-syntax-invalid-illegal-text: #f0f6fc;
+  --color-prettylights-syntax-invalid-illegal-bg: #8e1519;
+  --color-prettylights-syntax-carriage-return-text: #f0f6fc;
+  --color-prettylights-syntax-carriage-return-bg: #b62324;
+  --color-prettylights-syntax-string-regexp: #a5d6ff;
+  --color-prettylights-syntax-markup-list: #f2cc60;
+  --color-prettylights-syntax-markup-heading: #1f6feb;
+  --color-prettylights-syntax-markup-italic: #c9d1d9;
+  --color-prettylights-syntax-markup-bold: #c9d1d9;
+  --color-prettylights-syntax-markup-deleted-text: #ffdcd7;
+  --color-prettylights-syntax-markup-deleted-bg: #67060c;
+  --color-prettylights-syntax-markup-inserted-text: #cae8ff;
+  --color-prettylights-syntax-markup-inserted-bg: #0c2d6b;
+  --color-prettylights-syntax-markup-changed-text: #ffdcd7;
+  --color-prettylights-syntax-markup-changed-bg: #67060c;
+  --color-prettylights-syntax-markup-ignored-text: #c9d1d9;
+  --color-prettylights-syntax-markup-ignored-bg: #1158c7;
+  --color-prettylights-syntax-meta-diff-range: #d2a8ff;
+  --color-prettylights-syntax-brackethighlighter-angle: #8b949e;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #484f58;
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+  --color-border-default: #30363d;
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+  --color-accent-fg: #58a6ff;
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+  --color-attention-subtle: rgba(187,128,9,0.15);
+  --color-danger-fg: #f85149;
+}
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+  --color-attention-subtle: rgba(224,155,19,0.15);
+  --color-danger-fg: #ff6a69;
+}
+@media (prefers-color-scheme: light) {
+  [data-color-mode='system'][data-light-theme=dark_high_contrast] {
+  /*dark_high_contrast*/
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+  [data-color-mode='system'][data-dark-theme=dark_high_contrast] {
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+
+/*!
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+  Description: Highlight-js port of github.com theme
+  Author: github.com
+  Maintainer: @SNDST00M, @mjbvz
+  Updated: 2021-12-08
+*/
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+}
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+}
+
+/*!
+  Theme: GitHub
+  Description: Theme as seen on github.com
+  Author: github.com
+  Maintainer: @Hirse
+  Updated: 2021-05-15
+
+  Outdated base version: https://github.com/primer/github-syntax-dark
+  Current colors taken from GitHub's CSS
+*/
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+                font-size: 14px;
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+        <style>
+.task-list-item {
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+        
+    </head>
+    <body class="vscode-body vscode-light">
+        <div
+            class="github-markdown-body"
+            data-color-mode="auto"
+            data-light-theme="light"
+            data-dark-theme="dark"
+        >
+            <div class="github-markdown-content"><span id="markdown-mermaid" aria-hidden="true"
+                    data-dark-mode-theme="dark"
+                    data-light-mode-theme="default"></span>
+                <p><img src="file:////Users/cbatters/git/amescap-master-planetary-science/AmesCAP/tutorial/tutorial_images/Tutorial_Banner_2023.png" alt="2023 tutorial banner"></p>
+<h1 id="practice-exercises---community-analysis-pipeline-cap">Practice Exercises - Community Analysis Pipeline (CAP)</h1>
+<p><img src="file:////Users/cbatters/git/amescap-master-planetary-science/AmesCAP/tutorial/tutorial_images/GCM_Workflow_PRO.png" alt="GCM workflow"></p>
+<p>CAP is a Python toolkit designed to simplify post-processing and plotting MGCM output. CAP consists of five Python executables:</p>
+<ol>
+<li><code>MarsPull.py</code> for accessing MGCM output</li>
+<li><code>MarsFiles.py</code> for reducing the files</li>
+<li><code>MarsVars.py</code> for performing variable operations</li>
+<li><code>MarsInterp.py</code> for interpolating the vertical grid</li>
+<li><code>MarsPlot.py</code> for plotting MGCM output</li>
+</ol>
+<p>The following exercises are organized into two parts by function. We will go through Part I on Tuesday Nov. 14 and Part II on Wednesday Nov. 15.</p>
+<p><strong><a href="#part-i-file-manipulations">Part I: File Manipulations</a> → <code>MarsFiles.py</code>, <code>MarsVars.py</code>, &amp; <code>MarsInterp.py</code></strong></p>
+<p><strong><a href="#part-ii-plotting-with-cap">Part II: Plotting with CAP</a> → <code>MarsPlot.py</code></strong></p>
+<blockquote>
+<p>We will not be going over <code>MarsPull.py</code> because it is specifically for retrieving <em><strong>Legacy</strong></em> MGCM data and this tutorial uses output from the new MGCM. <code>MarsPull.py</code> was covered in the <a href="https://github.com/NASA-Planetary-Science/AmesCAP/blob/master/tutorial/CAP_Install.html"><em><strong>2021 Legacy Version Tutorial</strong></em></a>.</p>
+</blockquote>
+<hr>
+<h2 id="table-of-contents">Table of Contents</h2>
+<ul>
+<li><a href="#practice-exercises---community-analysis-pipeline-cap">Practice Exercises - Community Analysis Pipeline (CAP)</a>
+<ul>
+<li><a href="#table-of-contents">Table of Contents</a></li>
+<li><a href="#activating-cap">Activating CAP</a>
+<ul>
+<li><a href="#following-along-with-the-tutorial">Following Along with the Tutorial</a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li><a href="#part-i-file-manipulations">Part I: File Manipulations</a>
+<ul>
+<li><a href="#1-marsplots---inspect-function">1. MarsPlot's <code>--inspect</code> Function</a></li>
+<li><a href="#2-editing-variable-names-and-attributes">2. Editing Variable Names and Attributes</a></li>
+<li><a href="#3-splitting-files-in-time">3. Splitting Files in Time</a></li>
+<li><a href="#4-deriving-secondary-variables">4. Deriving Secondary Variables</a></li>
+<li><a href="#5-time-shifting-diurn-files">5. Time-Shifting <code>Diurn</code> Files</a></li>
+<li><a href="#6-pressure-interpolating-the-vertical-axis">6. Pressure-Interpolating the Vertical Axis</a></li>
+</ul>
+</li>
+<li><a href="#optional-use-the-answer-key-for-part-i">Optional: Use the Answer Key for Part I</a></li>
+<li><a href="#cap-practical-day-2">CAP Practical Day 2</a></li>
+<li><a href="#part-ii-plotting-with-cap">Part II: Plotting with CAP</a>
+<ul>
+<li><a href="#step-1-creating-the-template-customin">Step 1: Creating the Template (<code>Custom.in</code>)</a></li>
+<li><a href="#step-2-editing-customin">Step 2: Editing <code>Custom.in</code></a>
+<ul>
+<li><a href="#page-5-of-5-zonal-mean-circulation-cross-sections">Page 5 of 5: Zonal Mean Circulation Cross-Sections</a></li>
+<li><a href="#page-1-of-5-zonal-mean-surface-plots-over-time">Page 1 of 5: Zonal Mean Surface Plots Over Time</a></li>
+<li><a href="page-2-of-5-#zonal-mean-column-integrated-dust-optical-depth-over-time">Page 2 of 5: Zonal Mean Column-Integrated Dust Optical Depth Over Time</a></li>
+<li><a href="#page-3-of-5-global-mean-column-integrated-dust-optical-depth-over-time">Page 3 of 5: Global Mean Column-Integrated Dust Optical Depth Over Time</a></li>
+<li><a href="#page-4-of-5-50-pa-temperatures-at-3-am-and-3-pm">Page 4 of 5: 50 Pa Temperatures at 3 AM and 3 PM</a></li>
+<li><a href="#step-3-generating-the-plots">Step 3: Generating the Plots</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+<hr>
+<h2 id="activating-cap">Activating CAP</h2>
+<p>Activate the <code>amesCAP</code> virtual environment to use CAP:</p>
+<pre><code class="language-bash">(cloud)~$ <span class="hljs-built_in">source</span> ~/amesCAP/bin/activate      <span class="hljs-comment"># bash</span>
+(amesCAP)~$
+</code></pre>
+<p>Your prompt will update to reflect that you're in the virtual environment. Before continuing, confirm that CAP's executables are accessible by typing:</p>
+<pre><code class="language-bash">(amesCAP)~$ MarsVars.py -h
+</code></pre>
+<p>This is the <code>--help [-h]</code> argument, which shows useful documentation for the executable indicated in the prompt. Now that we know CAP is set up correctly, copy the file <code>amescap_profile</code> provided by CAP to your home directory as a hidden file:</p>
+<pre><code class="language-bash">(amesCAP)~$ <span class="hljs-built_in">cp</span> ~/amesCAP/mars_templates/amescap_profile ~/.amescap_profile
+</code></pre>
+<p>CAP stores useful settings in <code>amescap_profile</code>. We make a copy of it in our home directory so that it doesn't get overwritten if CAP is updated or reinstalled in the future.</p>
+<h3 id="following-along-with-the-tutorial">Following Along with the Tutorial</h3>
+<p><strong>We will perform every exercise together.</strong></p>
+<p><em><strong>Part I</strong></em> covers file manipulations. Some of the exercises build off of previous exercises so <em>it is important to complete them in order</em>. If you make a mistake or get behind in the process, you can go back and catch up during a break or use the provided answer key before continuing on to Part II.</p>
+<p><em><strong>Part II</strong></em> demonstrates CAP's plotting routine and there is more flexibility in this part of the exercise.</p>
+<blockquote>
+<p><em>Feel free to <em><strong>put questions in the chat</strong></em> throughout the exercises and another CAP developer can help you out as we go.</em></p>
+</blockquote>
+<p><em><a href="#table-of-contents">Return to Top</a></em></p>
+<h1 id="part-i-file-manipulations">Part I: File Manipulations</h1>
+<p>CAP has dozens of post-processing capabilities and we will go over a few of the most commonly used functions including:</p>
+<ul>
+<li>Interpolating data to different vertical coordinate systems (<code>MarsInterp.py</code>)</li>
+<li>Adding derived variables to the files (<code>MarsVars.py</code>)</li>
+<li>Time-shifting data to target local times (<code>MarsFiles.py</code>)</li>
+<li>Trimming a file to reduce the size (<code>MarsFiles.py</code>).</li>
+</ul>
+<p>The necessary MGCM output files are already loaded in the cloud environment under <code>tutorial_files/</code>. Change to the <code>tutorial_files/</code> directory and look at the contents:</p>
+<pre><code class="language-bash">(amesCAP)~$ <span class="hljs-built_in">cd</span> tutorial_files
+(amesCAP)~$ <span class="hljs-built_in">ls</span>
+03340.atmos_average.nc
+03340.atmos_diurn.nc
+03340.fixed.nc
+</code></pre>
+<p>These files are from the sixth year of a simulation. MGCM output file names are generated with a 5-digit sol number appended to the front of the file name. The sol number indicates the day that a file's record begins.</p>
+<blockquote>
+<p><em>The files we manipulate here will be used to generating the plots in Part II so do <strong>not</strong> delete anything!</em></p>
+</blockquote>
+<h2 id="1-marsplots---inspect-function">1. MarsPlot's <code>--inspect</code> Function</h2>
+<p>The average file is <code>03340.atmos_average.nc</code> and the inspect function is in <code>MarsPlot.py</code>. To use it, type the following in the terminal:</p>
+<pre><code class="language-bash">(amesCAP)~$ MarsPlot.py -i 03340.atmos_average.nc
+</code></pre>
+<blockquote>
+<p>This is a good time to remind you that if you are unsure how to use a function, invoke the <code>--help [-h]</code> argument with any executable to see its documentation (e.g., <code>MarsPlot.py -h</code>).</p>
+</blockquote>
+<p><em><a href="#part-i-file-manipulations">Return to Part I</a></em></p>
+<hr>
+<h2 id="2-editing-variable-names-and-attributes">2. Editing Variable Names and Attributes</h2>
+<p>The <code>--inspect [-i]</code> function shows a variable called <code>opac</code> in <code>03340.atmos_average.nc</code>. <code>opac</code> is dust opacity per Pascal, and we have another variable <code>dustref</code> that is opacity per (model) level. For the second exercise, we will rename <code>opac</code> to <code>dustref_per_pa</code> to better indicate the relationship between the variables.</p>
+<p>The <code>-edit</code> function in <code>MarsVars.py</code> allows us to change variable names, units, and longnames in MGCM output files. The syntax is:</p>
+<pre><code class="language-bash">(amesCAP)~$ MarsVars.py 03340.atmos_average.nc -edit opac -rename dustref_per_pa
+03340.atmos_average_tmp.nc was created
+03340.atmos_average.nc was updated
+</code></pre>
+<p>We can use <code>--inspect [-i]</code> to see that <code>03340.atmos_average.nc</code> reflects our changes:</p>
+<pre><code class="language-bash">(amesCAP)~$ MarsPlot.py -i 03340.atmos_average.nc
+</code></pre>
+<p>We can also see a summary of the values of <code>dustref_per_pa</code> using <code>-stat</code> with <code>--inspect [-i]</code>:</p>
+<pre><code class="language-bash">(amesCAP)~$ MarsPlot.py -i 03340.atmos_average.nc -<span class="hljs-built_in">stat</span> dustref_per_pa
+__________________________________________________________________
+    VAR           |      MIN      |      MEAN     |      MAX      |
+__________________|_______________|_______________|_______________|
+    dustref_per_pa|              0|    0.000307308|     0.00175193|
+__________________|_______________|_______________|_______________|
+</code></pre>
+<p>and we can print the values of any variable to the terminal by adding an <code>ncdump</code>-like argument to <code>--inspect [-i]</code>. We demonstrate this with latitude (<code>lat</code>) because it is a relatively short 1D array:</p>
+<pre><code class="language-bash">(amesCAP)~$ MarsPlot.py -i 03340.atmos_average.nc -dump lat
+lat= 
+[-89. -87. -85. -83. -81. -79. -77. -75. -73. -71. -69. -67. -65. -63.
+ -61. -59. -57. -55. -53. -51. -49. -47. -45. -43. -41. -39. -37. -35.
+ -33. -31. -29. -27. -25. -23. -21. -19. -17. -15. -13. -11.  -9.  -7.
+  -5.  -3.  -1.   1.   3.   5.   7.   9.  11.  13.  15.  17.  19.  21.
+  1.   25.  27.  29.  31.  33.  35.  37.  39.  41.  43.  45.  47.  49.
+  2.   53.  55.  57.  59.  61.  63.  65.  67.  69.  71.  73.  75.  77.
+  3.   81.  83.  85.  87.  89.]
+</code></pre>
+<p><em><a href="#part-i-file-manipulations">Return to Part I</a></em></p>
+<hr>
+<h2 id="3-splitting-files-in-time">3. Splitting Files in Time</h2>
+<p>Next we're going to trim the <code>diurn</code> and <code>average</code> files by L$_s$ to generate a new file that only contains data around southern summer solstice, L$_s$=270. This greatly reduces the size of the file so we can pressure-interpolate it faster later on.</p>
+<p>Trim the files like so:</p>
+<pre><code class="language-bash">(amesCAP)~$ MarsFiles.py 03340.atmos_diurn.nc -<span class="hljs-built_in">split</span> 265 275
+...
+/home/centos/tutorial_files/03847.atmos_diurn_Ls265_275.nc was created
+(amesCAP)~$ MarsFiles.py 03340.atmos_average.nc -<span class="hljs-built_in">split</span> 265 275
+...
+/home/centos/tutorial_files/03847.atmos_average_Ls265_275.nc was created
+</code></pre>
+<p>The trimmed files have the appendix <code>_Ls265_275.nc</code> and the simulation day has changed from <code>03340</code> to <code>03847</code> to reflect that the first day in the file has changed.</p>
+<p>For future steps, we need a <code>fixed</code> file with the same simulation day number as the files we just created, so make a copy of the <code>fixed</code> file and rename it:</p>
+<pre><code class="language-bash">(amesCAP)~$ <span class="hljs-built_in">cp</span> 03340.fixed.nc 03847.fixed.nc
+</code></pre>
+<p><em><a href="#part-i-file-manipulations">Return to Part I</a></em></p>
+<hr>
+<h2 id="4-deriving-secondary-variables">4. Deriving Secondary Variables</h2>
+<p>The <code>--add</code> function in <code>MarsVars.py</code> derives and adds secondary variables to MGCM output files provided that the variable(s) required to derive the secondary variable exist(s) in the file. What variables do we need to derive the meridional mass streamfunction (<code>msf</code>)? We can check with the help function:</p>
+<pre><code class="language-bash">(amesCAP)~$ MarsVars.py -h
+</code></pre>
+<p>The help function shows that streamfunction (<code>msf</code>) requires meridional wind (<code>vcomp</code>) for derivation and that we can only derive streamfunction on a <em><strong>pressure-interpolated</strong></em> file. We can confirm that <code>vcomp</code> is in the <code>03847.atmos_average_Ls265_275.nc</code> using the <code>--inspect [-i]</code> call to <code>MarsPlot.py</code>:</p>
+<pre><code class="language-python">(amesCAP)~$ MarsPlot.py -i <span class="hljs-number">03847.</span>atmos_average_Ls265_275.nc
+...
+vcomp : (<span class="hljs-string">&#x27;time&#x27;</span>, <span class="hljs-string">&#x27;pfull&#x27;</span>, <span class="hljs-string">&#x27;lat&#x27;</span>, <span class="hljs-string">&#x27;lon&#x27;</span>)= (<span class="hljs-number">3</span>, <span class="hljs-number">56</span>, <span class="hljs-number">90</span>, <span class="hljs-number">180</span>), meridional wind  [m/sec]
+...
+</code></pre>
+<p>Now we can pressure-interpolate the average file using <code>MarsInterp.py</code>. This is done by specifying the interpolation type (<code>--type [-t]</code>), which is standard pressure (<code>pstd</code>), and the grid (<code>--level [-l]</code>) to interpolate to (<code>pstd_default</code>). Grid options are listed in <code>~/.amescap_profile</code>.</p>
+<p>We will also specify which variables to include in the interpolation using <code>-include</code>. This will reduce the interpolated file size. We will include temperature (<code>temp</code>), winds (<code>ucomp</code> and <code>vcomp</code>), and surface pressure (<code>ps</code>) in the interpolated file.</p>
+<p>Before performing the interpolation, we can ask <code>MarsInterp.py</code> to print out the pressure levels of the grid that we are interpolating to by including the <code>-g</code> argument in the call to <code>MarsInterp.py</code>:</p>
+<p>We add <code>--grid [-g]</code> in the call to <code>MarsInterp.py</code> to print out the pressure levels of the grid that we are interpolating to:</p>
+<pre><code class="language-bash">(amesCAP)~$ MarsInterp.py 03847.atmos_average_Ls265_275.nc -t pstd -l pstd_default -include temp ucomp vcomp ps -g
+1100.0 1050.0 1000.0 950.0 900.0 850.0 800.0 750.0 700.0 650.0 600.0 550.0 500.0 450.0 400.0 350.0 300.0 250.0 200.0 150.0 100.0 70.0 50.0 30.0 20.0 10.0 7.0 5.0 3.0 2.0 1.0 0.5 0.3 0.2 0.1 0.05
+</code></pre>
+<p>To perform the actual interpolation, omit the <code>--grid [-g]</code> flag:</p>
+<pre><code class="language-bash">(amesCAP)~$ MarsInterp.py 03847.atmos_average_Ls265_275.nc -t pstd -l pstd_default -include temp ucomp vcomp ps
+/home/centos/tutorial_files/03847.atmos_average_Ls265_275_pstd.nc was created
+</code></pre>
+<p>Now that we have a pressure-interpolated file, we can derive and add <code>msf</code> to it using <code>MarsVars.py</code>:</p>
+<pre><code class="language-bash">(amesCAP)~$ MarsVars.py 03847.atmos_average_Ls265_275_pstd.nc -add msf
+Processing: msf...
+msf: Done
+</code></pre>
+<p><em><a href="#part-i-file-manipulations">Return to Part I</a></em></p>
+<hr>
+<h2 id="5-time-shifting-diurn-files">5. Time-Shifting <code>Diurn</code> Files</h2>
+<p>The <code>diurn</code> file is organized by time-of-day assuming <em><strong>universal</strong></em> time starts at the Martian prime meridian. The time-shift <code>--tshift [-t]</code> function converts the <code>diurn</code> file to <em><strong>uniform local</strong></em>  time, which is useful for comparing MGCM output to observations from satellites in fixed local time orbit, for example. Time-shifting can only be done on files with a local time dimension (<code>time_of_day_24</code>, i.e. <code>diurn</code> files).</p>
+<p>By default, <code>MarsFiles.py</code> time shifts all of the data in the file data to 24 uniform local times. This generates very large files. To reduce file size and processing time, there is an option to time-shift data only to user-specified local times. To do so, simply list the desired local times after the call to <code>--tshift [-t]</code>.</p>
+<p>In this example, we will time-shift temperature (<code>temp</code>) and surface pressure (<code>ps</code>) to 3 AM / 3 PM local time:</p>
+<pre><code class="language-bash">(amesCAP)~$ MarsFiles.py 03847.atmos_diurn_Ls265_275.nc -t <span class="hljs-string">&#x27;3. 15.&#x27;</span> -include temp ps
+...
+/home/centos/tutorial_files/03847.atmos_diurn_Ls265_275_T.nc was created
+</code></pre>
+<p>This created a <code>diurn</code> file with &quot;<code>_T</code>&quot; appended to the file name: <code>03847.atmos_diurn_Ls265_275_T.nc</code>. Using <code>--inspect [-i]</code>, we can confirm that only <code>ps</code> and <code>temp</code> (and their dimensions) are in the file and that the <code>time_of_day</code> dimension has a length of 2:</p>
+<pre><code class="language-bash">(amesCAP)~$ MarsPlot.py -i 03847.atmos_diurn_Ls265_275_T.nc
+...
+====================CONTENT==========================
+scalar_axis    : (<span class="hljs-string">&#x27;scalar_axis&#x27;</span>,)= (1,), none  [none]
+pfull          : (<span class="hljs-string">&#x27;pfull&#x27;</span>,)= (56,), ref full pressure level  [mb]
+lat            : (<span class="hljs-string">&#x27;lat&#x27;</span>,)= (90,), latitude  [degrees_N]
+lon            : (<span class="hljs-string">&#x27;lon&#x27;</span>,)= (180,), longitude  [degrees_E]
+time           : (<span class="hljs-string">&#x27;time&#x27;</span>,)= (7,), sol number  [days since 0000-00-00 00:00:00]
+time_of_day_02 : (<span class="hljs-string">&#x27;time_of_day_02&#x27;</span>,)= (2,), time of day  [[hours since 0000-00-00 00:00:00]]
+areo           : (<span class="hljs-string">&#x27;time&#x27;</span>, <span class="hljs-string">&#x27;time_of_day_02&#x27;</span>, <span class="hljs-string">&#x27;scalar_axis&#x27;</span>)= (7, 2, 1), areo  [degrees]
+ps             : (<span class="hljs-string">&#x27;time&#x27;</span>, <span class="hljs-string">&#x27;time_of_day_02&#x27;</span>, <span class="hljs-string">&#x27;lat&#x27;</span>, <span class="hljs-string">&#x27;lon&#x27;</span>)= (7, 2, 90, 180), surface pressure  [Pa]
+temp           : (<span class="hljs-string">&#x27;time&#x27;</span>, <span class="hljs-string">&#x27;time_of_day_02&#x27;</span>, <span class="hljs-string">&#x27;pfull&#x27;</span>, <span class="hljs-string">&#x27;lat&#x27;</span>, <span class="hljs-string">&#x27;lon&#x27;</span>)= (7, 2, 56, 90, 180), temperature  [K]
+=====================================================
+</code></pre>
+<p><em><a href="#part-i-file-manipulations">Return to Part I</a></em></p>
+<hr>
+<h2 id="6-pressure-interpolating-the-vertical-axis">6. Pressure-Interpolating the Vertical Axis</h2>
+<p>After trimming the file and reducing the number of variables stored in the file, we can efficiently interpolate <code>03847.atmos_diurn_Ls265_275_T.nc</code> to a standard pressure grid. Recall that interpolation is part of <code>MarsInterp.py</code> and requires two arguments:</p>
+<ol>
+<li>Interpolation type (<code>--type [-t]</code>), and</li>
+<li>Grid (<code>--level [-l]</code>)</li>
+</ol>
+<p>As before, we will interpolate to the standard pressure grid (<code>pstd_default</code>), this time retaining all variables in the file:</p>
+<pre><code class="language-bash">(amesCAP)~$ MarsInterp.py 03847.atmos_diurn_Ls265_275_T.nc -t pstd -l pstd_default
+/home/centos/tutorial_files/03847.atmos_diurn_Ls265_275_T_pstd.nc was created
+</code></pre>
+<blockquote>
+<p><strong>Note:</strong> Interpolation could be done before or after time-shifting, the order does not matter.</p>
+</blockquote>
+<p>We now have four different <code>diurn</code> files in our directory:</p>
+<pre><code class="language-bash">03340.atmos_diurn.nc                  <span class="hljs-comment"># Original MGCM file</span>
+03847.atmos_diurn_Ls265_275.nc        <span class="hljs-comment"># + Trimmed to L$_s$=240-300</span>
+03847.atmos_diurn_Ls265_275_T.nc      <span class="hljs-comment"># + Time-shifted; `ps` and `temp` only</span>
+03847.atmos_diurn_Ls265_275_T_pstd.nc <span class="hljs-comment"># + Pressure-interpolated</span>
+</code></pre>
+<p>CAP always adds an appendix to the name of any new file it creates. This helps users keep track of what was done and in what order. The last file we created was trimmed, time-shifted, then pressure-interpolated. However, the same file could be generated by performing the three functions in any order.</p>
+<p><em><a href="#part-i-file-manipulations">Return to Part I</a></em></p>
+<h1 id="optional-use-the-answer-key-for-part-i">Optional: Use the Answer Key for Part I</h1>
+<p>This concludes Part I of the tutorial! If you messed up one of the exercises somewhere, you can run a script that performs all 6 Exercises in Part I for you. To do this, follow the steps below.</p>
+<ol>
+<li>Source the <code>amesCAP</code> virtual environment</li>
+<li>Change to the <code>tutorial_files/</code> directory</li>
+<li>Run the executable below</li>
+</ol>
+<pre><code class="language-bash">(amesCAP)~$ ~/cap_backup/part_1_key.sh
+</code></pre>
+<p>The script will do all of Part I for you. This ensures you can follow along with the plotting routines in Part II.</p>
+<p><em><a href="#part-i-file-manipulations">Return to Part I</a></em></p>
+<h1 id="cap-practical-day-2">CAP Practical Day 2</h1>
+<p>This part of the CAP Practical covers how to generate plots with CAP. We will take a learn-by-doing approach, creating five sets of plots that demonstrate some of CAP's most often used plotting capabilities:</p>
+<ol>
+<li><a href="#page-5-of-5-zonal-mean-circulation-cross-sections">Page 5 of 5: Zonal Mean Circulation Cross-Sections</a></li>
+<li><a href="#page-1-of-5-zonal-mean-surface-plots-over-time">Page 1 of 5: Zonal Mean Surface Plots Over Time</a></li>
+<li><a href="#page-2-of-5-zonal-mean-column-integrated-dust-optical-depth-over-time">Page 2 of 5: Zonal Mean Column-Integrated Dust Optical Depth Over Time</a></li>
+<li><a href="#page-3-of-5-global-mean-column-integrated-dust-optical-depth-over-time">Page 3 of 5: Global Mean Column-Integrated Dust Optical Depth Over Time</a></li>
+<li><a href="#page-4-of-5-50-pa-temperatures-at-3-am-and-3-pm">Page 4 of 5: 50 Pa Temperatures at 3 AM and 3 PM</a></li>
+</ol>
+<p>Plotting with CAP is done in 3 steps:</p>
+<p><a href="#step-1-creating-the-template-customin">Step 1: Creating the Template (<code>Custom.in</code>)</a></p>
+<p><a href="#step-2-editing-customin">Step 2: Editing <code>Custom.in</code></a></p>
+<p><a href="#step-3-generating-the-plots">Step 3: Generating the Plots</a></p>
+<p>As in Part I, we will go through these steps together.</p>
+<h1 id="part-ii-plotting-with-cap">Part II: Plotting with CAP</h1>
+<p>CAP's plotting routine is <code>MarsPlot.py</code>. It works by generating a <code>Custom.in</code> file containing seven different plot templates that users can modify, then reading the <code>Custom.in</code> file to make the plots.</p>
+<p>The plot templates in <code>Custom.in</code> include:</p>
+<table>
+<thead>
+<tr>
+<th style="text-align:left">Plot Type</th>
+<th style="text-align:left">X, Y Dimensions</th>
+<th style="text-align:left">Name in <code>Custom.in</code></th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td style="text-align:left">Map</td>
+<td style="text-align:left">Longitude, Latitude</td>
+<td style="text-align:left"><code>Plot 2D lon x lat</code></td>
+</tr>
+<tr>
+<td style="text-align:left">Time-varying</td>
+<td style="text-align:left">Time, Latitude</td>
+<td style="text-align:left"><code>Plot 2D time x lat</code></td>
+</tr>
+<tr>
+<td style="text-align:left">Time-varying</td>
+<td style="text-align:left">Time, level</td>
+<td style="text-align:left"><code>Plot 2D time x lev</code></td>
+</tr>
+<tr>
+<td style="text-align:left">Time-varying</td>
+<td style="text-align:left">Longitude, Time</td>
+<td style="text-align:left"><code>Plot 2D lon x time</code></td>
+</tr>
+<tr>
+<td style="text-align:left">Cross-section</td>
+<td style="text-align:left">Longitude, Level</td>
+<td style="text-align:left"><code>Plot 2D lon x lev</code></td>
+</tr>
+<tr>
+<td style="text-align:left">Cross-section</td>
+<td style="text-align:left">Latitude, Level</td>
+<td style="text-align:left"><code>Plot 2D lat x lev</code></td>
+</tr>
+<tr>
+<td style="text-align:left">Line plot (1D)</td>
+<td style="text-align:left">Dimension*, Variable</td>
+<td style="text-align:left"><code>Plot 1D</code></td>
+</tr>
+</tbody>
+</table>
+<blockquote>
+<p>*Dimension is user-indicated and could be time (<code>time</code>), latitude (<code>lat</code>), longitude <code>lon</code>, or level (<code>pfull</code>, <code>pstd</code>, <code>zstd</code>, <code>zagl</code>).</p>
+</blockquote>
+<p>Additionally, <code>MarsPlot.py</code> supports:</p>
+<ul>
+<li>PDF &amp; image format</li>
+<li>Landscape &amp; portrait mode</li>
+<li>Multi-panel plots</li>
+<li>Overplotting</li>
+<li>Customizable axes dimensions and contour intervals</li>
+<li>Adjustable colormaps and map projections</li>
+</ul>
+<p>and so much more. You will learn to plot with <code>MarsPlot.py</code> by following along with the demonstration. We will generate the <code>Custom.in</code> template file, customize it, and pass it back into <code>MarsPlot.py</code> to create plots.</p>
+<p><em><a href="#cap-practical-day-2">Return to Part II</a></em></p>
+<hr>
+<h2 id="step-1-creating-the-template-customin">Step 1: Creating the Template (<code>Custom.in</code>)</h2>
+<p>Generate the template file, <code>Custom.in</code>:</p>
+<pre><code class="language-bash">(amesCAP)~$ MarsPlot.py -template
+/home/centos/tutorial_files/Custom.<span class="hljs-keyword">in</span> was created 
+</code></pre>
+<p>A new file called <code>Custom.in</code> is created in your current working directory.</p>
+<hr>
+<h2 id="step-2-editing-customin">Step 2: Editing <code>Custom.in</code></h2>
+<p>Open <code>Custom.in</code> using <code>vim</code>:</p>
+<pre><code class="language-bash">(amesCAP)~$ vim Custom.<span class="hljs-keyword">in</span>
+</code></pre>
+<p>Scroll down until you see the first two templates shown in the image below:</p>
+<p><img src="file:////Users/cbatters/git/amescap-master-planetary-science/AmesCAP/tutorial/tutorial_images/Custom_Templates.png" alt="custom input template"></p>
+<p>Since all of the templates have a similar structure, we can broadly describe how <code>Custom.in</code> works by going through the templates line-by-line.</p>
+<h3 id="line-1">Line 1</h3>
+<pre><code class="language-python"><span class="hljs-comment"># Line 1                ┌ plot type  ┌ whether to create the plot</span>
+&lt;&lt;&lt;&lt;&lt;&lt;&lt;&lt;&lt;&lt;&lt;&lt;&lt;&lt;| Plot 2D lon X lat = <span class="hljs-literal">True</span> |&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;
+</code></pre>
+<p>Line 1 indicates the <strong>plot type</strong> and <strong>whether to create the plot</strong> when passed into <code>MarsPlot.py</code>.</p>
+<h3 id="line-2">Line 2</h3>
+<pre><code class="language-python"><span class="hljs-comment"># Line 2         ┌ file ┌ variable</span>
+Main Variable  = fixed.zsurf          <span class="hljs-comment"># file.variable</span>
+Main Variable  = [fixed.zsurf]/<span class="hljs-number">1000</span>   <span class="hljs-comment"># [] brackets for mathematical operations</span>
+Main Variable  = diurn_T.temp{tod=<span class="hljs-number">3</span>}  <span class="hljs-comment"># {} brackets for dimension selection</span>
+</code></pre>
+<p>Line 2 indicates the <strong>variable</strong> to plot and the <strong>file</strong> from which to pull the variable.</p>
+<p>Additional customizations include:</p>
+<ul>
+<li>Element-wise operations (e.g., scaling by a factor)</li>
+<li>Dimensional selection (e.g., selecting the time of day (<code>tod</code>) at which to plot from a time-shifted diurn file)</li>
+</ul>
+<h3 id="line-3">Line 3</h3>
+<pre><code class="language-python"><span class="hljs-comment"># Line 3</span>
+Cmin, Cmax     = <span class="hljs-literal">None</span>           <span class="hljs-comment"># automatic, or</span>
+Cmin, Cmax     = -<span class="hljs-number">4</span>,<span class="hljs-number">5</span>           <span class="hljs-comment"># contour limits, or</span>
+Cmin, Cmax     = -<span class="hljs-number">4</span>,-<span class="hljs-number">2</span>,<span class="hljs-number">0</span>,<span class="hljs-number">1</span>,<span class="hljs-number">3</span>,<span class="hljs-number">5</span>  <span class="hljs-comment"># explicit contour levels</span>
+</code></pre>
+<p>Line 3 line defines the <strong>color-filled contours</strong> for <code>Main Variable</code>. Valid inputs are:</p>
+<ul>
+<li><code>None</code> (default) enables Python's automatic interpretation of the contours</li>
+<li><code>min,max</code> specifies contour range</li>
+<li><code>X,Y,Z,...,N</code> gives explicit contour levels</li>
+</ul>
+<h3 id="lines-4--5">Lines 4 &amp; 5</h3>
+<pre><code class="language-python"><span class="hljs-comment"># Lines 4 &amp; 5</span>
+Ls <span class="hljs-number">0</span>-<span class="hljs-number">360</span>       = <span class="hljs-literal">None</span> <span class="hljs-comment"># for &#x27;time&#x27; free dimension</span>
+Level Pa/m     = <span class="hljs-literal">None</span> <span class="hljs-comment"># for &#x27;pstd&#x27; free dimension</span>
+</code></pre>
+<p>Lines 4 &amp; 5 handle the <strong>free dimension(s)</strong> for <code>Main Variable</code> (the dimensions that are <em><strong>not</strong></em> plot dimensions).</p>
+<p>For example, <code>temperature</code> has 4 dimensions: <code>(time, pstd, lat, lon)</code>. For a <code>2D lon X lat</code> map of temperature, <code>lon</code> and <code>lat</code> provide the <code>x</code> and <code>y</code> dimensions of the plot. The free dimensions are then <code>pstd</code> (<code>Level Pa/m</code>) and <code>time</code> (<code>Ls 0-360</code>).</p>
+<p>Lines 4 &amp; 5 accept four input types:</p>
+<ol>
+<li><code>integer</code> selects the closest value</li>
+<li><code>min,max</code> averages over a range of the dimension</li>
+<li><code>all</code> averages over the entire dimension</li>
+<li><code>None</code> (default) depends on the free dimension:</li>
+</ol>
+<pre><code class="language-python"><span class="hljs-comment"># ┌ free dimension      ┌ default setting</span>
+Ls <span class="hljs-number">0</span>-<span class="hljs-number">360</span>       = <span class="hljs-literal">None</span>   <span class="hljs-comment"># most recent timestep</span>
+Level Pa/m     = <span class="hljs-literal">None</span>   <span class="hljs-comment"># surface level</span>
+Lon +/-<span class="hljs-number">180</span>     = <span class="hljs-literal">None</span>   <span class="hljs-comment"># zonal mean over all longitudes</span>
+Latitude       = <span class="hljs-literal">None</span>   <span class="hljs-comment"># equatorial values only</span>
+</code></pre>
+<h3 id="lines-6--7">Lines 6 &amp; 7</h3>
+<pre><code class="language-python"><span class="hljs-comment"># Line 6 &amp; 7</span>
+2nd Variable   = <span class="hljs-literal">None</span>           <span class="hljs-comment"># no solid contours</span>
+2nd Variable   = fixed.zsurf    <span class="hljs-comment"># draw solid contours</span>
+Contours Var <span class="hljs-number">2</span>  = -<span class="hljs-number">4</span>,<span class="hljs-number">5</span>          <span class="hljs-comment"># contour range, or</span>
+Contours Var <span class="hljs-number">2</span>  = -<span class="hljs-number">4</span>,-<span class="hljs-number">2</span>,<span class="hljs-number">0</span>,<span class="hljs-number">1</span>,<span class="hljs-number">3</span>,<span class="hljs-number">5</span> <span class="hljs-comment"># explicit contour levels</span>
+</code></pre>
+<p>Lines 6 &amp; 7 (optional) define the <strong>solid contours</strong> on the plot. Contours can be drawn for <code>Main Variable</code> or a different <code>2nd Variable</code>.</p>
+<ul>
+<li>Like <code>Main Variable</code>, <code>2nd Variable</code> minimally requires <code>file.variable</code></li>
+<li>Like <code>Cmin, Cmax</code>, <code>Contours Var 2</code> accepts a range (<code>min,max</code>) or list of explicit contour levels (<code>X,Y,Z,...,N</code>)</li>
+</ul>
+<h3 id="line-8">Line 8</h3>
+<pre><code class="language-python"><span class="hljs-comment"># Line 8        ┌ X axes limit      ┌ Y axes limit      ┌ colormap   ┌ cmap scale  ┌ projection</span>
+ Axis Options : lon = [<span class="hljs-literal">None</span>,<span class="hljs-literal">None</span>] | lat = [<span class="hljs-literal">None</span>,<span class="hljs-literal">None</span>] | cmap = jet | scale = lin | proj = cart
+</code></pre>
+<p>Finally, Line 8 offers plot customization (e.g., axes limits, colormaps, map projections, linestyles, 1D axes labels).</p>
+<p><em><a href="#cap-practical-day-2">Return to Part II</a></em></p>
+<hr>
+<h2 id="step-3-generating-the-plots">Step 3: Generating the Plots</h2>
+<p>Generate the plots set to <code>True</code> in <code>Custom.in</code> by saving and quitting the editor (<code>:wq</code>) and then passing the template file to <code>MarsPlot.py</code>:</p>
+<pre><code class="language-bash">(amesCAP)~$ MarsPlot.py Custom.<span class="hljs-keyword">in</span>
+</code></pre>
+<p>Plots are created and saved in a file called <code>Diagnostics.pdf</code>. Open the file to view the plots!</p>
+<hr>
+<h3 id="summary">Summary</h3>
+<p>Plotting with <code>MarsPlot.py</code> is done in 3 steps:</p>
+<pre><code class="language-bash">(amesCAP)~$ MarsPlot.py -template <span class="hljs-comment"># generate Custom.in</span>
+(amesCAP)~$ vim Custom.<span class="hljs-keyword">in</span>         <span class="hljs-comment"># edit Custom.in</span>
+(amesCAP)~$ MarsPlot.py Custom.<span class="hljs-keyword">in</span> <span class="hljs-comment"># pass Custom.in back to MarsPlot</span>
+</code></pre>
+<p>Now we will go through some examples.</p>
+<hr>
+<h2 id="customizing-the-plots">Customizing the Plots</h2>
+<p>Open <code>Custom.in</code> in the editor:</p>
+<pre><code class="language-bash">(amesCAP)~$ vim Custom.<span class="hljs-keyword">in</span>
+</code></pre>
+<p>Copy the first two templates that are set to <code>True</code> and paste them below the line <code>Empty Templates (set to False)</code>. Then, set them to <code>False</code>. This way, we have all available templates saved at the bottom of the script.</p>
+<h3 id="page-1-of-5-zonal-mean-surface-plots-over-time">Page 1 of 5: Zonal Mean Surface Plots Over Time</h3>
+<p>The first set of plots we'll make are zonal mean surface fields over time: surface temperature, CO$_2$ ice, and wind stress.</p>
+<p><img src="file:////Users/cbatters/git/amescap-master-planetary-science/AmesCAP/tutorial/tutorial_images/Zonal_Surface.png" alt="zonal mean surface plots"></p>
+<p>We will always do three things when we create a new plot:</p>
+<ol>
+<li>Write a set of <code>HOLD ON</code> and <code>HOLD OFF</code> arguments</li>
+<li>Copy/paste the <code>Plot 2D time X lat</code> template <strong>three times</strong> between them</li>
+<li>Set all three templates to <code>True</code></li>
+</ol>
+<p>For each of the plots, source variables from the <em>non</em>-interpolated average file, <code>03340.atmos_average.nc</code>.</p>
+<p>For the <strong>surface temperature</strong> plot:</p>
+<ul>
+<li>Set the title to <code>Zonal Mean Sfc T [K]</code></li>
+<li>Set <code>Main Variable</code> <strong>and</strong> <code>2nd Variable</code> to <code>ts</code></li>
+<li>Set the colorbar range to <code>140-270</code> K</li>
+<li>Set <code>Contours Var 2 = 160,180,200,220,240,260</code></li>
+</ul>
+<p>For the <strong>surface CO$_2$ ice</strong> plot:</p>
+<ul>
+<li>Set the title to <code>Zonal Mean Sfc CO2 Ice [kg/m2]</code></li>
+<li>Set <code>Main Variable</code> <strong>and</strong> <code>2nd Variable</code> to <code>co2ice_sfc</code></li>
+<li>Set the colorbar range to <code>0-800</code> kg/m2</li>
+<li>Set <code>Contours Var 2 = 200,400,600,800</code></li>
+</ul>
+<p>For the <strong>surface wind stress</strong> plot:</p>
+<ul>
+<li>Set the title to <code>Zonal Mean Sfc Stress [N/m2]</code></li>
+<li>Set <code>Main Variable</code> <strong>and</strong> <code>2nd Variable</code> to <code>stress</code></li>
+<li>Set the colorbar range to <code>0-0.03</code> N/m2</li>
+</ul>
+<p>Optionally, you can adjust any of the following <code>Axis Options</code> as you like. Leave some of the values to the default <code>None</code> to see what happens.</p>
+<ul>
+<li>Adjust the latitude (y axis) range (<code>lat = [None,None]</code>)</li>
+<li>Adjust the time (x axis) range (<code>Ls = [None,None]</code>)</li>
+<li>Change the colormap (<code>cmap</code>; options include <code>Spectral_r</code>, <code>nipy_spectral</code>, <code>RdBu_r</code>, <code>jet</code>, <code>rainbow</code>)</li>
+</ul>
+<p>Make the plots by saving <code>Custom.in</code> (<code>:wq</code>) and passing it to <code>MarsPlot.py</code>:</p>
+<pre><code class="language-bash">(amesCAP)~$ MarsPlot.py Custom.<span class="hljs-keyword">in</span>
+</code></pre>
+<p><em><a href="#cap-practical-day-2">Return to Part II</a></em></p>
+<hr>
+<h3 id="page-2-of-5-zonal-mean-column-integrated-dust-optical-depth-over-time">Page 2 of 5: Zonal Mean Column-Integrated Dust Optical Depth Over Time</h3>
+<p>The next set of plots are very similar to the first: zonal mean <strong>visible</strong> (<code>taudust_VIS</code>) and <strong>infrared</strong> (<code>taudust_IR</code>) dust optical depth over time. The difference is that the normalized dust optical depth has to be calculated from the dust opacity, so we'll use square brackets <code>[]</code> for element-wise operations.</p>
+<p><img src="file:////Users/cbatters/git/amescap-master-planetary-science/AmesCAP/tutorial/tutorial_images/Zonal_Dust.png" alt="zonal mean dust plots"></p>
+<p>Start with the 3-step process we did before:</p>
+<ol>
+<li>Write a set of <code>HOLD ON</code> and <code>HOLD OFF</code> arguments</li>
+<li>Copy/paste the <code>Plot 2D time X lat</code> template <strong>two times</strong> between them</li>
+<li>Set all three templates to <code>True</code></li>
+</ol>
+<p>For both plots, source dust opacities from the non-interpolated average file, <code>03340.atmos_average.nc</code>.</p>
+<p>Use square brackets <code>[]</code> around the input for <code>Main Variable</code> to calculate the normalized dust optical depth:</p>
+<p><code>optical depth = [opacity] / [surface pressure] * (reference pressure)</code></p>
+<p>where opacity is <code>taudust_VIS</code>, surface pressure is <code>ps</code>, and the reference pressure is 610 Pa. For the <strong>visible</strong> dust optical depth, then, <code>Main Variable</code> is:</p>
+<pre><code class="language-python">Main Variable  = [<span class="hljs-number">03340.</span>atmos_average.taudust_VIS]/[<span class="hljs-number">03340.</span>atmos_average.ps]*<span class="hljs-number">610</span>
+</code></pre>
+<ul>
+<li>Set <code>Main Variable</code> for the IR dust optical depth plot (<code>taudust_IR</code>) accordingly.</li>
+<li>Set <code>2nd Variable</code> to the same value as <code>Main Variable</code>.</li>
+<li>Set the colorbar range to <code>0,1</code>.</li>
+</ul>
+<p>Save and quit <code>Custom.in</code> (<code>:wq</code>) and pass it to <code>MarsPlot.py</code>:</p>
+<pre><code class="language-bash">(amesCAP)~$ MarsPlot.py Custom.<span class="hljs-keyword">in</span>
+</code></pre>
+<p><em><a href="#cap-practical-day-2">Return to Part II</a></em></p>
+<hr>
+<h3 id="page-3-of-5-global-mean-column-integrated-dust-optical-depth-over-time">Page 3 of 5: Global Mean Column-Integrated Dust Optical Depth Over Time</h3>
+<p>Now we'll look at the global dust optical depth over time in a 1D plot.</p>
+<p><img src="file:////Users/cbatters/git/amescap-master-planetary-science/AmesCAP/tutorial/tutorial_images/Global_Dust.png" alt="global mean dust plot"></p>
+<p>Begin as usual: copy/paste the <code>Plot 1D</code> template <em><strong>twice</strong></em> between a set of <code>HOLD ON</code> and <code>HOLD OFF</code> arguments and set them to <code>True</code>.</p>
+<ul>
+<li>Title the plots <code>Area-Weighted Global Mean Dust Optical Depth (norm.) [op]</code></li>
+<li>Assign <code>Visible</code> and <code>IR</code> to <code>Legend</code> accordingly</li>
+<li><code>Main Variable</code> will be the same as in the previous plots, so copy and paste those values here.</li>
+<li>Set <code>Ls 0-360 = AXIS</code> to use 'time' as the X axis.</li>
+<li>To calculate the global mean dust optical depth, set the remaining free dimensions (<code>Latitude</code> &amp; <code>Lon +/-180</code>) to <code>all</code>:</li>
+</ul>
+<pre><code class="language-python">Ls <span class="hljs-number">0</span>-<span class="hljs-number">360</span>       = AXIS
+Latitude       = <span class="hljs-built_in">all</span>
+Lon +/-<span class="hljs-number">180</span>     = <span class="hljs-built_in">all</span>
+Level [Pa/m]   = <span class="hljs-literal">None</span> <span class="hljs-comment"># taudust_* vars are column-integrated</span>
+Diurnal  [hr]  = <span class="hljs-literal">None</span>
+</code></pre>
+<p>If we were to run this through CAP now, we would end up with two separate 1D plots on the same page. To overplot both lines on the same plot instead, include <code>ADD LINE</code> between the templates.</p>
+<p>Save and quit <code>Custom.in</code> (<code>:wq</code>) and pass it to <code>MarsPlot.py</code>:</p>
+<pre><code class="language-bash">(amesCAP)~$ MarsPlot.py Custom.<span class="hljs-keyword">in</span>
+</code></pre>
+<p><em><a href="#cap-practical-day-2">Return to Part II</a></em></p>
+<hr>
+<h3 id="page-4-of-5-50-pa-temperatures-at-3-am-and-3-pm">Page 4 of 5: 50 Pa Temperatures at 3 AM and 3 PM</h3>
+<p>This set of plots shows 50 Pa temperatures during southern summer solstice at 3 AM and 3 PM. As well as the difference between them.</p>
+<p><img src="file:////Users/cbatters/git/amescap-master-planetary-science/AmesCAP/tutorial/tutorial_images/50Pa_Temps.png" alt="3 am 3 pm temperatures"></p>
+<p>As usual, copy/paste the <code>Plot 2D lon X lat</code> template <em><strong>three times</strong></em> between a set of <code>HOLD ON</code> and <code>HOLD OFF</code> arguments and set them to <code>True</code>.</p>
+<p>For each of the three plots:</p>
+<ul>
+<li>Title the plots</li>
+<li>Set <code>Ls 0-360 = 270</code></li>
+<li>Set <code>Level Pa/m = 50</code> (50 Pa)</li>
+</ul>
+<p>For the AM and PM temperature plots:</p>
+<ul>
+<li><code>Main Variable</code> is <code>temp</code> from <code>03847.atmos_diurn_Ls265_275_T_pstd.nc</code>, the trimmed, time-shifted, and pressure-interpolated diurnal file we made yesterday</li>
+<li>Set the colorbar range: <code>Cmin, Cmax = 145,290</code> (145-290 K)</li>
+<li>Request the 3 AM &amp; 3 PM times of day from the <code>diurn_T</code> file by specifying the time of day (<code>tod</code>) dimension using curly brackets <code>{}</code> in the call to <code>Main Variable</code>:</li>
+</ul>
+<pre><code class="language-python">Main Variable  = <span class="hljs-number">03847.</span>atmos_diurn_Ls265_275_T_pstd.temp{tod=<span class="hljs-number">3</span>}  <span class="hljs-comment"># for 3 AM</span>
+Main Variable  = <span class="hljs-number">03847.</span>atmos_diurn_Ls265_275_T_pstd.temp{tod=<span class="hljs-number">15</span>} <span class="hljs-comment"># for 3 PM</span>
+</code></pre>
+<p>For the difference plot, subtract <code>Main Variable</code> from the 3 PM and 3 AM lines. Since we're performing a mathematical operation on the values of <code>temp</code>, use square brackets <code>[]</code> around each variable like so:</p>
+<pre><code class="language-python">Main Variable  = [<span class="hljs-number">03847.</span>atmos_diurn_Ls265_275_T_pstd.temp{tod=<span class="hljs-number">15</span>}]-[<span class="hljs-number">03847.</span>atmos_diurn_Ls265_275_T_pstd.temp{tod=<span class="hljs-number">3</span>}]
+</code></pre>
+<ul>
+<li>Use a diverging colormap for the difference plot (e.g., <code>RdBu_r</code>, <code>bwr</code>, <code>PiYG</code>, <code>Spectral</code>) for the difference plot</li>
+<li>Center the colorbar at <code>0</code> by setting <code>Cmin, Cmax = -20,20</code>.</li>
+</ul>
+<p>Save and quit <code>Custom.in</code> (<code>:wq</code>) and pass it to <code>MarsPlot.py</code>:</p>
+<pre><code class="language-bash">(amesCAP)~$ MarsPlot.py Custom.<span class="hljs-keyword">in</span>
+</code></pre>
+<p><em><a href="#cap-practical-day-2">Return to Part II</a></em></p>
+<hr>
+<h3 id="page-5-of-5-zonal-mean-circulation-cross-sections">Page 5 of 5: Zonal Mean Circulation Cross-Sections</h3>
+<p>Finally, we will make a set of cross-sectional plots showing temperature, U and V winds, and mass streamfunction during southern summer.</p>
+<p><img src="file:////Users/cbatters/git/amescap-master-planetary-science/AmesCAP/tutorial/tutorial_images/Zonal_Circulation.png" alt="zonal mean circulation plots"></p>
+<p>Begin with the usual 3-step process:</p>
+<ol>
+<li>Write a <code>HOLD ON</code> <code>HOLD OFF</code> set</li>
+<li>Copy-paste the <code>Plot 2D lat X lev</code> template four times</li>
+<li>Set every plot to <code>True</code></li>
+</ol>
+<p>Set <code>Main Variable</code> to the variable to be plotted and <code>Title</code> the plot accordingly:</p>
+<pre><code class="language-python"><span class="hljs-comment"># temperature</span>
+Title          = Temperature [K] (Ls=<span class="hljs-number">270</span>)
+Main Variable  = <span class="hljs-number">03847.</span>atmos_average_Ls265_275_pstd.temp
+Cmin, Cmax     = <span class="hljs-number">110</span>,<span class="hljs-number">240</span>
+Ls <span class="hljs-number">0</span>-<span class="hljs-number">360</span>       = <span class="hljs-number">270</span>
+
+<span class="hljs-comment"># mass streamfunction</span>
+Title          = Mass Stream Function [<span class="hljs-number">1.e8</span> kg s-<span class="hljs-number">1</span>] (Ls=<span class="hljs-number">270</span>)
+Main Variable  = <span class="hljs-number">03847.</span>atmos_average_Ls265_275_pstd.msf
+Cmin, Cmax     = -<span class="hljs-number">110</span>,<span class="hljs-number">110</span>
+Ls <span class="hljs-number">0</span>-<span class="hljs-number">360</span>       = <span class="hljs-number">270</span>
+
+<span class="hljs-comment"># zonal wind</span>
+Title          = Zonal Wind [m/s] (Ls=<span class="hljs-number">270</span>)
+Main Variable  = <span class="hljs-number">03847.</span>atmos_average_Ls265_275_pstd.ucomp
+Cmin, Cmax     = -<span class="hljs-number">230</span>,<span class="hljs-number">230</span>
+Ls <span class="hljs-number">0</span>-<span class="hljs-number">360</span>       = <span class="hljs-number">270</span>
+
+<span class="hljs-comment"># meridional wind</span>
+Title          = Meridional Wind [m/s] (Ls=<span class="hljs-number">270</span>)
+Main Variable  = <span class="hljs-number">03847.</span>atmos_average_Ls265_275_pstd.vcomp
+Cmin, Cmax     = -<span class="hljs-number">85</span>,<span class="hljs-number">85</span>
+Ls <span class="hljs-number">0</span>-<span class="hljs-number">360</span>       = <span class="hljs-number">270</span>
+</code></pre>
+<p>For mass streamfunction, add solid contours to the plot and specify the contour levels as follows:</p>
+<pre><code class="language-python">2nd Variable   = <span class="hljs-number">03847.</span>atmos_average_Ls265_275_pstd.msf
+Contours Var <span class="hljs-number">2</span> = -<span class="hljs-number">5</span>,-<span class="hljs-number">3</span>,-<span class="hljs-number">1</span>,-<span class="hljs-number">0.5</span>,<span class="hljs-number">1</span>,<span class="hljs-number">3</span>,<span class="hljs-number">5</span>,<span class="hljs-number">10</span>,<span class="hljs-number">20</span>,<span class="hljs-number">40</span>,<span class="hljs-number">60</span>,<span class="hljs-number">100</span>,<span class="hljs-number">120</span>
+</code></pre>
+<p>Change the colormap for each plot. I like to use:</p>
+<ul>
+<li><code>rainbow</code> for <code>temp</code></li>
+<li><code>bwr</code> for <code>msf</code></li>
+<li><code>PiYG</code> for the winds <code>ucomp</code> and <code>vcomp</code></li>
+</ul>
+<p>Finally, set the latitude and level limits explicitly under <code>Axis Options</code>:</p>
+<pre><code class="language-python">Axis Options  : Lat = [-<span class="hljs-number">90</span>,<span class="hljs-number">90</span>] | level[Pa/m] = [<span class="hljs-number">1000</span>,<span class="hljs-number">0.05</span>] | cmap = rainbow |scale = lin
+</code></pre>
+<blockquote>
+<p>We are plotting from the pressure-interpolated (<code>pstd</code>) file so the vertical grid is pressure in Pascal and <code>level [Pa/m]</code> defines the axes limits in Pascal. If we were using the non-interpolated file, we would specify the axes limits in meters.</p>
+</blockquote>
+<p>Save and quit <code>Custom.in</code> (<code>:wq</code>) and pass it to <code>MarsPlot.py</code>:</p>
+<pre><code class="language-bash">(amesCAP)~$ MarsPlot.py Custom.<span class="hljs-keyword">in</span>
+</code></pre>
+<p><em><a href="#cap-practical-day-2">Return to Part II</a></em></p>
+<h1 id="end-credits">End Credits</h1>
+<p>This concludes the practical exercise portion of the CAP tutorial. Please feel free to use these exercises as a reference when using CAP the future!</p>
+<p><em><strong>This document was completed in October 2023. Written by Courtney Batterson, Alex Kling, and Victoria Hartwick.</strong></em> <em>Feedback can be directed to Alex Kling at <a href="alexandre.m.kling@nasa.gov">alexandre.m.kling@nasa.gov</a></em></p>
+<p><em><a href="#table-of-contents">Return to Top</a></em></p>
+<hr>
+</div>
+        </div>
+        <script async src="https://cdn.jsdelivr.net/npm/katex-copytex@latest/dist/katex-copytex.min.js"></script>
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o,s=Mn(e.boundingBox?e.boundingBox:{x1:0,y1:0,w:n.width(),h:n.height()}),c={x:s.x1+s.w/2,y:s.y1+s.h/2},u=(void 0===e.sweep?2*Math.PI-2*Math.PI/a.length:e.sweep)/Math.max(1,a.length-1),l=0,h=0;h<a.length;h++){var f=a[h].layoutDimensions(e),d=f.w,g=f.h;l=Math.max(l,d,g)}if(o=E(e.radius)?e.radius:a.length<=1?0:Math.min(s.h,s.w)/2-l,a.length>1&&e.avoidOverlap){l*=1.75;var p=Math.cos(u)-Math.cos(0),b=Math.sin(u)-Math.sin(0),w=Math.sqrt(l*l/(p*p+b*b));o=Math.max(w,o)}var y=function(t,n){var i=e.startAngle+n*u*(r?1:-1),a=o*Math.cos(i),s=o*Math.sin(i);return{x:c.x+a,y:c.y+s}};return i.nodes().layoutPositions(this,e,y),this};var ml,vl={fit:!0,padding:30,startAngle:1.5*Math.PI,sweep:void 0,clockwise:!0,equidistant:!1,minNodeSpacing:10,boundingBox:void 0,avoidOverlap:!0,nodeDimensionsIncludeLabels:!1,height:void 0,width:void 0,spacingFactor:void 0,concentric:function(t){return t.degree()},levelWidth:function(t){return t.maxDegree()/4},animate:!1,animationDuration:500,animationEasing:void 0,animateFilter:function(t,e){return!0},ready:void 0,stop:void 0,transform:function(t,e){return e}};function xl(t){this.options=Q({},vl,t)}xl.prototype.run=function(){for(var t=this.options,e=t,n=void 0!==e.counterclockwise?!e.counterclockwise:e.clockwise,i=t.cy,r=e.eles,a=r.nodes().not(":parent"),o=Mn(e.boundingBox?e.boundingBox:{x1:0,y1:0,w:i.width(),h:i.height()}),s={x:o.x1+o.w/2,y:o.y1+o.h/2},c=[],u=0,l=0;l<a.length;l++){var h=a[l],f=void 0;f=e.concentric(h),c.push({value:f,node:h}),h._private.scratch.concentric=f}a.updateStyle();for(var d=0;d<a.length;d++){var g=a[d].layoutDimensions(e);u=Math.max(u,g.w,g.h)}c.sort((function(t,e){return e.value-t.value}));for(var p=e.levelWidth(a),b=[[]],w=b[0],y=0;y<c.length;y++){var m=c[y];w.length>0&&Math.abs(w[0].value-m.value)>=p&&(w=[],b.push(w)),w.push(m)}var v=u+e.minNodeSpacing;if(!e.avoidOverlap){var x=b.length>0&&b[0].length>1,k=(Math.min(o.w,o.h)/2-v)/(b.length+x?1:0);v=Math.min(v,k)}for(var _=0,E=0;E<b.length;E++){var T=b[E],C=void 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2048},nodeOverlap:4,idealEdgeLength:function(t){return 32},edgeElasticity:function(t){return 32},nestingFactor:1.2,gravity:1,numIter:1e3,initialTemp:1e3,coolingFactor:.99,minTemp:1};function _l(t){this.options=Q({},kl,t),this.options.layout=this}_l.prototype.run=function(){var t=this.options,e=t.cy,n=this;n.stopped=!1,!0!==t.animate&&!1!==t.animate||n.emit({type:"layoutstart",layout:n}),ml=!0===t.debug;var i=Tl(e,n,t);ml&&El(i),t.randomize&&Al(i);var r=ie(),a=function(){Il(i,e,t),!0===t.fit&&e.fit(t.padding)},o=function(e){return!(n.stopped||e>=t.numIter||(Ll(i,t),i.temperature=i.temperature*t.coolingFactor,i.temperature<t.minTemp))},s=function(){if(!0===t.animate||!1===t.animate)a(),n.one("layoutstop",t.stop),n.emit({type:"layoutstop",layout:n});else{var e=t.eles.nodes(),r=Ml(i,t,e);e.layoutPositions(n,t,r)}},c=0,u=!0;if(!0===t.animate)!function e(){for(var 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h=(b=r[c]).layoutDimensions(n);(O={}).isLocked=b.locked(),O.id=b.data("id"),O.parentId=b.data("parent"),O.cmptId=s[b.id()],O.children=[],O.positionX=b.position("x"),O.positionY=b.position("y"),O.offsetX=0,O.offsetY=0,O.height=h.w,O.width=h.h,O.maxX=O.positionX+O.width/2,O.minX=O.positionX-O.width/2,O.maxY=O.positionY+O.height/2,O.minY=O.positionY-O.height/2,O.padLeft=parseFloat(b.style("padding")),O.padRight=parseFloat(b.style("padding")),O.padTop=parseFloat(b.style("padding")),O.padBottom=parseFloat(b.style("padding")),O.nodeRepulsion=v(n.nodeRepulsion)?n.nodeRepulsion(b):n.nodeRepulsion,a.layoutNodes.push(O),a.idToIndex[O.id]=c}var f=[],d=0,g=-1,p=[];for(c=0;c<a.nodeSize;c++){var b,w=(b=a.layoutNodes[c]).parentId;null!=w?a.layoutNodes[a.idToIndex[w]].children.push(b.id):(f[++g]=b.id,p.push(b.id))}for(a.graphSet.push(p);d<=g;){var y=f[d++],m=a.idToIndex[y],x=a.layoutNodes[m].children;if(x.length>0)for(a.graphSet.push(x),c=0;c<x.length;c++)f[++g]=x[c]}for(c=0;c<a.graphSet.length;c++){var k=a.graphSet[c];for(l=0;l<k.length;l++){var _=a.idToIndex[k[l]];a.indexToGraph[_]=c}}for(c=0;c<a.edgeSize;c++){var E=i[c],T={};T.id=E.data("id"),T.sourceId=E.data("source"),T.targetId=E.data("target");var C=v(n.idealEdgeLength)?n.idealEdgeLength(E):n.idealEdgeLength,S=v(n.edgeElasticity)?n.edgeElasticity(E):n.edgeElasticity,A=a.idToIndex[T.sourceId],M=a.idToIndex[T.targetId];if(a.indexToGraph[A]!=a.indexToGraph[M]){for(var I=Cl(T.sourceId,T.targetId,a),L=a.graphSet[I],D=0,O=a.layoutNodes[A];-1===L.indexOf(O.id);)O=a.layoutNodes[a.idToIndex[O.parentId]],D++;for(O=a.layoutNodes[M];-1===L.indexOf(O.id);)O=a.layoutNodes[a.idToIndex[O.parentId]],D++;C*=D*n.nestingFactor}T.idealLength=C,T.elasticity=S,a.layoutEdges.push(T)}return a},Cl=function(t,e,n){var i=Sl(t,e,0,n);return 2>i.count?0:i.graph},Sl=function t(e,n,i,r){var 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e,n,i,r,a,o,s=t._private.rscratch,c="haystack"===s.edgeType,u="bezier"===s.edgeType,l="multibezier"===s.edgeType,h="segments"===s.edgeType,f="compound"===s.edgeType,d="self"===s.edgeType;if(c?(i=s.haystackPts[0],r=s.haystackPts[1],a=s.haystackPts[2],o=s.haystackPts[3]):(i=s.arrowStartX,r=s.arrowStartY,a=s.arrowEndX,o=s.arrowEndY),p=s.midX,b=s.midY,h)e=i-s.segpts[0],n=r-s.segpts[1];else if(l||f||d||u){var g=s.allpts;e=i-Tn(g[0],g[2],g[4],.1),n=r-Tn(g[1],g[3],g[5],.1)}else e=i-p,n=r-b;s.srcArrowAngle=mn(e,n);var p=s.midX,b=s.midY;if(c&&(p=(i+a)/2,b=(r+o)/2),e=a-i,n=o-r,h)if((g=s.allpts).length/2%2==0){var w=(y=g.length/2)-2;e=g[y]-g[w],n=g[y+1]-g[w+1]}else{w=(y=g.length/2-1)-2;var y,m=y+2;e=g[y]-g[w],n=g[y+1]-g[w+1]}else if(l||f||d){var v,x,k,_,g=s.allpts;if(s.ctrlpts.length/2%2==0){var E=2+(T=2+(C=g.length/2-1));v=Tn(g[C],g[T],g[E],0),x=Tn(g[C+1],g[T+1],g[E+1],0),k=Tn(g[C],g[T],g[E],1e-4),_=Tn(g[C+1],g[T+1],g[E+1],1e-4)}else{var T,C;E=2+(T=g.length/2-1),v=Tn(g[C=T-2],g[T],g[E],.4999),x=Tn(g[C+1],g[T+1],g[E+1],.4999),k=Tn(g[C],g[T],g[E],.5),_=Tn(g[C+1],g[T+1],g[E+1],.5)}e=k-v,n=_-x}if(s.midtgtArrowAngle=mn(e,n),s.midDispX=e,s.midDispY=n,e*=-1,n*=-1,h&&((g=s.allpts).length/2%2==0||(e=-(g[m=2+(y=g.length/2-1)]-g[y]),n=-(g[m+1]-g[y+1]))),s.midsrcArrowAngle=mn(e,n),h)e=a-s.segpts[s.segpts.length-2],n=o-s.segpts[s.segpts.length-1];else if(l||f||d||u){var S=(g=s.allpts).length;e=a-Tn(g[S-6],g[S-4],g[S-2],.9),n=o-Tn(g[S-5],g[S-3],g[S-1],.9)}else e=a-p,n=o-b;s.tgtArrowAngle=mn(e,n)}};rh.getArrowWidth=rh.getArrowHeight=function(t,e){var n=this.arrowWidthCache=this.arrowWidthCache||{},i=n[t+", "+e];return i||(i=Math.max(Math.pow(13.37*t,.9),29)*e,n[t+", "+e]=i,i)};var ah={};function oh(t){var e=[];if(null!=t){for(var n=0;n<t.length;n+=2){var i=t[n],r=t[n+1];e.push({x:i,y:r})}return e}}ah.findHaystackPoints=function(t){for(var e=0;e<t.length;e++){var n=t[e],i=n._private,r=i.rscratch;if(!r.haystack){var a=2*Math.random()*Math.PI;r.source={x:Math.cos(a),y:Math.sin(a)},a=2*Math.random()*Math.PI,r.target={x:Math.cos(a),y:Math.sin(a)}}var o=i.source,s=i.target,c=o.position(),u=s.position(),l=o.width(),h=s.width(),f=o.height(),d=s.height(),g=n.pstyle("haystack-radius").value/2;r.haystackPts=r.allpts=[r.source.x*l*g+c.x,r.source.y*f*g+c.y,r.target.x*h*g+u.x,r.target.y*d*g+u.y],r.midX=(r.allpts[0]+r.allpts[2])/2,r.midY=(r.allpts[1]+r.allpts[3])/2,r.edgeType="haystack",r.haystack=!0,this.storeEdgeProjections(n),this.calculateArrowAngles(n),this.recalculateEdgeLabelProjections(n),this.calculateLabelAngles(n)}},ah.findSegmentsPoints=function(t,e){var n=t._private.rscratch,i=e.posPts,r=e.intersectionPts,a=e.vectorNormInverse,o=t.pstyle("edge-distances").value,s=t.pstyle("segment-weights"),c=t.pstyle("segment-distances"),u=Math.min(s.pfValue.length,c.pfValue.length);n.edgeType="segments",n.segpts=[];for(var l=0;l<u;l++){var h=s.pfValue[l],f=c.pfValue[l],d=1-h,g=h,p="node-position"===o?i:r,b={x:p.x1*d+p.x2*g,y:p.y1*d+p.y2*g};n.segpts.push(b.x+a.x*f,b.y+a.y*f)}},ah.findLoopPoints=function(t,e,n,i){var r=t._private.rscratch,a=e.dirCounts,o=e.srcPos,s=t.pstyle("control-point-distances"),c=s?s.pfValue[0]:void 0,u=t.pstyle("loop-direction").pfValue,l=t.pstyle("loop-sweep").pfValue,h=t.pstyle("control-point-step-size").pfValue;r.edgeType="self";var f=n,d=h;i&&(f=0,d=c);var g=u-Math.PI/2,p=g-l/2,b=g+l/2,w=String(u+"_"+l);f=void 0===a[w]?a[w]=0:++a[w],r.ctrlpts=[o.x+1.4*Math.cos(p)*d*(f/3+1),o.y+1.4*Math.sin(p)*d*(f/3+1),o.x+1.4*Math.cos(b)*d*(f/3+1),o.y+1.4*Math.sin(b)*d*(f/3+1)]},ah.findCompoundLoopPoints=function(t,e,n,i){var r=t._private.rscratch;r.edgeType="compound";var a=e.srcPos,o=e.tgtPos,s=e.srcW,c=e.srcH,u=e.tgtW,l=e.tgtH,h=t.pstyle("control-point-step-size").pfValue,f=t.pstyle("control-point-distances"),d=f?f.pfValue[0]:void 0,g=n,p=h;i&&(g=0,p=d);var b=50,w={x:a.x-s/2,y:a.y-c/2},y={x:o.x-u/2,y:o.y-l/2},m={x:Math.min(w.x,y.x),y:Math.min(w.y,y.y)},v=.5,x=Math.max(v,Math.log(.01*s)),k=Math.max(v,Math.log(.01*u));r.ctrlpts=[m.x,m.y-(1+Math.pow(b,1.12)/100)*p*(g/3+1)*x,m.x-(1+Math.pow(b,1.12)/100)*p*(g/3+1)*k,m.y]},ah.findStraightEdgePoints=function(t){t._private.rscratch.edgeType="straight"},ah.findBezierPoints=function(t,e,n,i,r){var a=t._private.rscratch,o=e.vectorNormInverse,s=e.posPts,c=e.intersectionPts,u=t.pstyle("edge-distances").value,l=t.pstyle("control-point-step-size").pfValue,h=t.pstyle("control-point-distances"),f=t.pstyle("control-point-weights"),d=h&&f?Math.min(h.value.length,f.value.length):1,g=h?h.pfValue[0]:void 0,p=f.value[0],b=i;a.edgeType=b?"multibezier":"bezier",a.ctrlpts=[];for(var w=0;w<d;w++){var y=(.5-e.eles.length/2+n)*l*(r?-1:1),m=void 0,v=xn(y);b&&(g=h?h.pfValue[w]:l,p=f.value[w]);var x=void 0!==(m=i?g:void 0!==g?v*g:void 0)?m:y,k=1-p,_=p,E="node-position"===u?s:c,T={x:E.x1*k+E.x2*_,y:E.y1*k+E.y2*_};a.ctrlpts.push(T.x+o.x*x,T.y+o.y*x)}},ah.findTaxiPoints=function(t,e){var n=t._private.rscratch;n.edgeType="segments";var i="vertical",r="horizontal",a="leftward",o="rightward",s="downward",c="upward",u="auto",l=e.posPts,h=e.srcW,f=e.srcH,d=e.tgtW,g=e.tgtH,p="node-position"!==t.pstyle("edge-distances").value,b=t.pstyle("taxi-direction").value,w=b,y=t.pstyle("taxi-turn"),m="%"===y.units,v=y.pfValue,x=v<0,k=t.pstyle("taxi-turn-min-distance").pfValue,_=p?(h+d)/2:0,E=p?(f+g)/2:0,T=l.x2-l.x1,C=l.y2-l.y1,S=function(t,e){return t>0?Math.max(t-e,0):Math.min(t+e,0)},A=S(T,_),M=S(C,E),I=!1;w===u?b=Math.abs(A)>Math.abs(M)?r:i:w===c||w===s?(b=i,I=!0):w!==a&&w!==o||(b=r,I=!0);var L,D=b===i,O=D?M:A,N=D?C:T,P=xn(N),B=!1;I&&(m||x)||!(w===s&&N<0||w===c&&N>0||w===a&&N>0||w===o&&N<0)||(O=(P*=-1)*Math.abs(O),B=!0);var F=function(t){return Math.abs(t)<k||Math.abs(t)>=Math.abs(O)},R=F(L=m?(v<0?1+v:v)*O:(v<0?O:0)+v*P),$=F(Math.abs(O)-Math.abs(L));if(!R&&!$||B)if(D){var j=l.y1+L+(p?f/2*P:0),z=l.x1,q=l.x2;n.segpts=[z,j,q,j]}else{var H=l.x1+L+(p?h/2*P:0),Z=l.y1,U=l.y2;n.segpts=[H,Z,H,U]}else if(D){var Y=Math.abs(N)<=f/2,G=Math.abs(T)<=d/2;if(Y){var K=(l.x1+l.x2)/2,W=l.y1,X=l.y2;n.segpts=[K,W,K,X]}else if(G){var V=(l.y1+l.y2)/2,Q=l.x1,J=l.x2;n.segpts=[Q,V,J,V]}else n.segpts=[l.x1,l.y2]}else{var tt=Math.abs(N)<=h/2,et=Math.abs(C)<=g/2;if(tt){var nt=(l.y1+l.y2)/2,it=l.x1,rt=l.x2;n.segpts=[it,nt,rt,nt]}else if(et){var at=(l.x1+l.x2)/2,ot=l.y1,st=l.y2;n.segpts=[at,ot,at,st]}else n.segpts=[l.x2,l.y1]}},ah.tryToCorrectInvalidPoints=function(t,e){var n=t._private.rscratch;if("bezier"===n.edgeType){var i=e.srcPos,r=e.tgtPos,a=e.srcW,o=e.srcH,s=e.tgtW,c=e.tgtH,u=e.srcShape,l=e.tgtShape,h=!E(n.startX)||!E(n.startY),f=!E(n.arrowStartX)||!E(n.arrowStartY),d=!E(n.endX)||!E(n.endY),g=!E(n.arrowEndX)||!E(n.arrowEndY),p=this.getArrowWidth(t.pstyle("width").pfValue,t.pstyle("arrow-scale").value)*this.arrowShapeWidth*3,b=kn({x:n.ctrlpts[0],y:n.ctrlpts[1]},{x:n.startX,y:n.startY}),w=b<p,y=kn({x:n.ctrlpts[0],y:n.ctrlpts[1]},{x:n.endX,y:n.endY}),m=y<p,v=!1;if(h||f||w){v=!0;var x={x:n.ctrlpts[0]-i.x,y:n.ctrlpts[1]-i.y},k=Math.sqrt(x.x*x.x+x.y*x.y),_={x:x.x/k,y:x.y/k},T=Math.max(a,o),C={x:n.ctrlpts[0]+2*_.x*T,y:n.ctrlpts[1]+2*_.y*T},S=u.intersectLine(i.x,i.y,a,o,C.x,C.y,0);w?(n.ctrlpts[0]=n.ctrlpts[0]+_.x*(p-b),n.ctrlpts[1]=n.ctrlpts[1]+_.y*(p-b)):(n.ctrlpts[0]=S[0]+_.x*p,n.ctrlpts[1]=S[1]+_.y*p)}if(d||g||m){v=!0;var A={x:n.ctrlpts[0]-r.x,y:n.ctrlpts[1]-r.y},M=Math.sqrt(A.x*A.x+A.y*A.y),I={x:A.x/M,y:A.y/M},L=Math.max(a,o),D={x:n.ctrlpts[0]+2*I.x*L,y:n.ctrlpts[1]+2*I.y*L},O=l.intersectLine(r.x,r.y,s,c,D.x,D.y,0);m?(n.ctrlpts[0]=n.ctrlpts[0]+I.x*(p-y),n.ctrlpts[1]=n.ctrlpts[1]+I.y*(p-y)):(n.ctrlpts[0]=O[0]+I.x*p,n.ctrlpts[1]=O[1]+I.y*p)}v&&this.findEndpoints(t)}},ah.storeAllpts=function(t){var e=t._private.rscratch;if("multibezier"===e.edgeType||"bezier"===e.edgeType||"self"===e.edgeType||"compound"===e.edgeType){e.allpts=[],e.allpts.push(e.startX,e.startY);for(var n=0;n+1<e.ctrlpts.length;n+=2)e.allpts.push(e.ctrlpts[n],e.ctrlpts[n+1]),n+3<e.ctrlpts.length&&e.allpts.push((e.ctrlpts[n]+e.ctrlpts[n+2])/2,(e.ctrlpts[n+1]+e.ctrlpts[n+3])/2);var i,r;e.allpts.push(e.endX,e.endY),e.ctrlpts.length/2%2==0?(i=e.allpts.length/2-1,e.midX=e.allpts[i],e.midY=e.allpts[i+1]):(i=e.allpts.length/2-3,r=.5,e.midX=Tn(e.allpts[i],e.allpts[i+2],e.allpts[i+4],r),e.midY=Tn(e.allpts[i+1],e.allpts[i+3],e.allpts[i+5],r))}else if("straight"===e.edgeType)e.allpts=[e.startX,e.startY,e.endX,e.endY],e.midX=(e.startX+e.endX+e.arrowStartX+e.arrowEndX)/4,e.midY=(e.startY+e.endY+e.arrowStartY+e.arrowEndY)/4;else if("segments"===e.edgeType)if(e.allpts=[],e.allpts.push(e.startX,e.startY),e.allpts.push.apply(e.allpts,e.segpts),e.allpts.push(e.endX,e.endY),e.segpts.length%4==0){var a=e.segpts.length/2,o=a-2;e.midX=(e.segpts[o]+e.segpts[a])/2,e.midY=(e.segpts[o+1]+e.segpts[a+1])/2}else{var s=e.segpts.length/2-1;e.midX=e.segpts[s],e.midY=e.segpts[s+1]}},ah.checkForInvalidEdgeWarning=function(t){var e=t[0]._private.rscratch;e.nodesOverlap||E(e.startX)&&E(e.startY)&&E(e.endX)&&E(e.endY)?e.loggedErr=!1:e.loggedErr||(e.loggedErr=!0,Se("Edge `"+t.id()+"` has invalid endpoints and so it is impossible to draw.  Adjust your edge style (e.g. control points) accordingly or use an alternative edge type.  This is expected behaviour when the source node and the target node overlap."))},ah.findEdgeControlPoints=function(t){var e=this;if(t&&0!==t.length){for(var n=this,i=n.cy.hasCompoundNodes(),r={map:new ze,get:function(t){var e=this.map.get(t[0]);return null!=e?e.get(t[1]):null},set:function(t,e){var n=this.map.get(t[0]);null==n&&(n=new ze,this.map.set(t[0],n)),n.set(t[1],e)}},a=[],o=[],s=0;s<t.length;s++){var c=t[s],u=c._private,l=c.pstyle("curve-style").value;if(!c.removed()&&c.takesUpSpace())if("haystack"!==l){var h="unbundled-bezier"===l||"segments"===l||"straight"===l||"straight-triangle"===l||"taxi"===l,f="unbundled-bezier"===l||"bezier"===l,d=u.source,g=u.target,p=[d.poolIndex(),g.poolIndex()].sort(),b=r.get(p);null==b&&(b={eles:[]},r.set(p,b),a.push(p)),b.eles.push(c),h&&(b.hasUnbundled=!0),f&&(b.hasBezier=!0)}else o.push(c)}for(var w=function(t){var o=a[t],s=r.get(o),c=void 0;if(!s.hasUnbundled){var u=s.eles[0].parallelEdges().filter((function(t){return t.isBundledBezier()}));Be(s.eles),u.forEach((function(t){return s.eles.push(t)})),s.eles.sort((function(t,e){return t.poolIndex()-e.poolIndex()}))}var l=s.eles[0],h=l.source(),f=l.target();if(h.poolIndex()>f.poolIndex()){var d=h;h=f,f=d}var g=s.srcPos=h.position(),p=s.tgtPos=f.position(),b=s.srcW=h.outerWidth(),w=s.srcH=h.outerHeight(),y=s.tgtW=f.outerWidth(),m=s.tgtH=f.outerHeight(),v=s.srcShape=n.nodeShapes[e.getNodeShape(h)],x=s.tgtShape=n.nodeShapes[e.getNodeShape(f)];s.dirCounts={north:0,west:0,south:0,east:0,northwest:0,southwest:0,northeast:0,southeast:0};for(var k=0;k<s.eles.length;k++){var _=s.eles[k],T=_[0]._private.rscratch,C=_.pstyle("curve-style").value,S="unbundled-bezier"===C||"segments"===C||"taxi"===C,A=!h.same(_.source());if(!s.calculatedIntersection&&h!==f&&(s.hasBezier||s.hasUnbundled)){s.calculatedIntersection=!0;var M=v.intersectLine(g.x,g.y,b,w,p.x,p.y,0),I=s.srcIntn=M,L=x.intersectLine(p.x,p.y,y,m,g.x,g.y,0),D=s.tgtIntn=L,O=s.intersectionPts={x1:M[0],x2:L[0],y1:M[1],y2:L[1]},N=s.posPts={x1:g.x,x2:p.x,y1:g.y,y2:p.y},P=L[1]-M[1],B=L[0]-M[0],F=Math.sqrt(B*B+P*P),R=s.vector={x:B,y:P},$=s.vectorNorm={x:R.x/F,y:R.y/F},j={x:-$.y,y:$.x};s.nodesOverlap=!E(F)||x.checkPoint(M[0],M[1],0,y,m,p.x,p.y)||v.checkPoint(L[0],L[1],0,b,w,g.x,g.y),s.vectorNormInverse=j,c={nodesOverlap:s.nodesOverlap,dirCounts:s.dirCounts,calculatedIntersection:!0,hasBezier:s.hasBezier,hasUnbundled:s.hasUnbundled,eles:s.eles,srcPos:p,tgtPos:g,srcW:y,srcH:m,tgtW:b,tgtH:w,srcIntn:D,tgtIntn:I,srcShape:x,tgtShape:v,posPts:{x1:N.x2,y1:N.y2,x2:N.x1,y2:N.y1},intersectionPts:{x1:O.x2,y1:O.y2,x2:O.x1,y2:O.y1},vector:{x:-R.x,y:-R.y},vectorNorm:{x:-$.x,y:-$.y},vectorNormInverse:{x:-j.x,y:-j.y}}}var z=A?c:s;T.nodesOverlap=z.nodesOverlap,T.srcIntn=z.srcIntn,T.tgtIntn=z.tgtIntn,i&&(h.isParent()||h.isChild()||f.isParent()||f.isChild())&&(h.parents().anySame(f)||f.parents().anySame(h)||h.same(f)&&h.isParent())?e.findCompoundLoopPoints(_,z,k,S):h===f?e.findLoopPoints(_,z,k,S):"segments"===C?e.findSegmentsPoints(_,z):"taxi"===C?e.findTaxiPoints(_,z):"straight"===C||!S&&s.eles.length%2==1&&k===Math.floor(s.eles.length/2)?e.findStraightEdgePoints(_):e.findBezierPoints(_,z,k,S,A),e.findEndpoints(_),e.tryToCorrectInvalidPoints(_,z),e.checkForInvalidEdgeWarning(_),e.storeAllpts(_),e.storeEdgeProjections(_),e.calculateArrowAngles(_),e.recalculateEdgeLabelProjections(_),e.calculateLabelAngles(_)}},y=0;y<a.length;y++)w(y);this.findHaystackPoints(o)}},ah.getSegmentPoints=function(t){var e=t[0]._private.rscratch;if("segments"===e.edgeType)return this.recalculateRenderedStyle(t),oh(e.segpts)},ah.getControlPoints=function(t){var e=t[0]._private.rscratch,n=e.edgeType;if("bezier"===n||"multibezier"===n||"self"===n||"compound"===n)return this.recalculateRenderedStyle(t),oh(e.ctrlpts)},ah.getEdgeMidpoint=function(t){var e=t[0]._private.rscratch;return this.recalculateRenderedStyle(t),{x:e.midX,y:e.midY}};var sh={manualEndptToPx:function(t,e){var n=this,i=t.position(),r=t.outerWidth(),a=t.outerHeight();if(2===e.value.length){var o=[e.pfValue[0],e.pfValue[1]];return"%"===e.units[0]&&(o[0]=o[0]*r),"%"===e.units[1]&&(o[1]=o[1]*a),o[0]+=i.x,o[1]+=i.y,o}var s=e.pfValue[0];s=-Math.PI/2+s;var c=2*Math.max(r,a),u=[i.x+Math.cos(s)*c,i.y+Math.sin(s)*c];return n.nodeShapes[this.getNodeShape(t)].intersectLine(i.x,i.y,r,a,u[0],u[1],0)},findEndpoints:function(t){var e,n,i,r,a,o=this,s=t.source()[0],c=t.target()[0],u=s.position(),l=c.position(),h=t.pstyle("target-arrow-shape").value,f=t.pstyle("source-arrow-shape").value,d=t.pstyle("target-distance-from-node").pfValue,g=t.pstyle("source-distance-from-node").pfValue,p=t.pstyle("curve-style").value,b=t._private.rscratch,w=b.edgeType,y="self"===w||"compound"===w,m="bezier"===w||"multibezier"===w||y,v="bezier"!==w,x="straight"===w||"segments"===w,k="segments"===w,_=m||v||x,T=y||"taxi"===p,C=t.pstyle("source-endpoint"),S=T?"outside-to-node":C.value,A=t.pstyle("target-endpoint"),M=T?"outside-to-node":A.value;if(b.srcManEndpt=C,b.tgtManEndpt=A,m){var I=[b.ctrlpts[0],b.ctrlpts[1]];n=v?[b.ctrlpts[b.ctrlpts.length-2],b.ctrlpts[b.ctrlpts.length-1]]:I,i=I}else if(x){var L=k?b.segpts.slice(0,2):[l.x,l.y];n=k?b.segpts.slice(b.segpts.length-2):[u.x,u.y],i=L}if("inside-to-node"===M)e=[l.x,l.y];else if(A.units)e=this.manualEndptToPx(c,A);else if("outside-to-line"===M)e=b.tgtIntn;else 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vh={getCachedImage:function(t,e,n){var i=this,r=i.imageCache=i.imageCache||{},a=r[t];if(a)return a.image.complete||a.image.addEventListener("load",n),a.image;var o=(a=r[t]=r[t]||{}).image=new Image;o.addEventListener("load",n),o.addEventListener("error",(function(){o.error=!0}));var s="data:";return t.substring(0,s.length).toLowerCase()===s||(o.crossOrigin=e),o.src=t,o}},xh={registerBinding:function(t,e,n,i){var r=Array.prototype.slice.apply(arguments,[1]),a=this.binder(t);return a.on.apply(a,r)},binder:function(t){var e=this,n=t===window||t===document||t===document.body||N(t);if(null==e.supportsPassiveEvents){var i=!1;try{var r=Object.defineProperty({},"passive",{get:function(){return i=!0,!0}});window.addEventListener("test",null,r)}catch(t){}e.supportsPassiveEvents=i}var a=function(i,r,a){var o=Array.prototype.slice.call(arguments);return n&&e.supportsPassiveEvents&&(o[2]={capture:null!=a&&a,passive:!1,once:!1}),e.bindings.push({target:t,args:o}),(t.addEventListener||t.on).apply(t,o),this};return{on:a,addEventListener:a,addListener:a,bind:a}},nodeIsDraggable:function(t){return t&&t.isNode()&&!t.locked()&&t.grabbable()},nodeIsGrabbable:function(t){return this.nodeIsDraggable(t)&&t.interactive()},load:function(){var t=this,e=function(t){return t.selected()},n=function(e,n,i,r){null==e&&(e=t.cy);for(var a=0;a<n.length;a++){var o=n[a];e.emit({originalEvent:i,type:o,position:r})}},i=function(t){return t.shiftKey||t.metaKey||t.ctrlKey},r=function(e,n){var i=!0;if(t.cy.hasCompoundNodes()&&e&&e.pannable()){for(var r=0;n&&r<n.length;r++)if((e=n[r]).isNode()&&e.isParent()&&!e.pannable()){i=!1;break}}else i=!0;return i},a=function(t){t[0]._private.grabbed=!0},o=function(t){t[0]._private.grabbed=!1},s=function(t){t[0]._private.rscratch.inDragLayer=!0},c=function(t){t[0]._private.rscratch.inDragLayer=!1},u=function(t){t[0]._private.rscratch.isGrabTarget=!0},l=function(t){t[0]._private.rscratch.isGrabTarget=!1},h=function(t,e){var n=e.addToList;n.has(t)||!t.grabbable()||t.locked()||(n.merge(t),a(t))},f=function(t,e){if(t.cy().hasCompoundNodes()&&(null!=e.inDragLayer||null!=e.addToList)){var n=t.descendants();e.inDragLayer&&(n.forEach(s),n.connectedEdges().forEach(s)),e.addToList&&h(n,e)}},d=function(e,n){n=n||{};var i=e.cy().hasCompoundNodes();n.inDragLayer&&(e.forEach(s),e.neighborhood().stdFilter((function(t){return!i||t.isEdge()})).forEach(s)),n.addToList&&e.forEach((function(t){h(t,n)})),f(e,n),b(e,{inDragLayer:n.inDragLayer}),t.updateCachedGrabbedEles()},g=d,p=function(e){e&&(t.getCachedZSortedEles().forEach((function(t){o(t),c(t),l(t)})),t.updateCachedGrabbedEles())},b=function(t,e){if((null!=e.inDragLayer||null!=e.addToList)&&t.cy().hasCompoundNodes()){var n=t.ancestors().orphans();if(!n.same(t)){var i=n.descendants().spawnSelf().merge(n).unmerge(t).unmerge(t.descendants()),r=i.connectedEdges();e.inDragLayer&&(r.forEach(s),i.forEach(s)),e.addToList&&i.forEach((function(t){h(t,e)}))}}},w=function(){null!=document.activeElement&&null!=document.activeElement.blur&&document.activeElement.blur()},y="undefined"!=typeof MutationObserver,m="undefined"!=typeof ResizeObserver;y?(t.removeObserver=new MutationObserver((function(e){for(var n=0;n<e.length;n++){var i=e[n].removedNodes;if(i)for(var r=0;r<i.length;r++)if(i[r]===t.container){t.destroy();break}}})),t.container.parentNode&&t.removeObserver.observe(t.container.parentNode,{childList:!0})):t.registerBinding(t.container,"DOMNodeRemoved",(function(e){t.destroy()}));var v=Qt((function(){t.cy.resize()}),100);y&&(t.styleObserver=new MutationObserver(v),t.styleObserver.observe(t.container,{attributes:!0})),t.registerBinding(window,"resize",v),m&&(t.resizeObserver=new ResizeObserver(v),t.resizeObserver.observe(t.container));var x=function(t,e){for(;null!=t;)e(t),t=t.parentNode},k=function(){t.invalidateContainerClientCoordsCache()};x(t.container,(function(e){t.registerBinding(e,"transitionend",k),t.registerBinding(e,"animationend",k),t.registerBinding(e,"scroll",k)})),t.registerBinding(t.container,"contextmenu",(function(t){t.preventDefault()}));var _,T,C,S=function(){return 0!==t.selection[4]},A=function(e){for(var n=t.findContainerClientCoords(),i=n[0],r=n[1],a=n[2],o=n[3],s=e.touches?e.touches:[e],c=!1,u=0;u<s.length;u++){var l=s[u];if(i<=l.clientX&&l.clientX<=i+a&&r<=l.clientY&&l.clientY<=r+o){c=!0;break}}if(!c)return!1;for(var h=t.container,f=e.target.parentNode,d=!1;f;){if(f===h){d=!0;break}f=f.parentNode}return!!d};t.registerBinding(t.container,"mousedown",(function(e){if(A(e)){e.preventDefault(),w(),t.hoverData.capture=!0,t.hoverData.which=e.which;var i=t.cy,r=[e.clientX,e.clientY],a=t.projectIntoViewport(r[0],r[1]),o=t.selection,s=t.findNearestElements(a[0],a[1],!0,!1),c=s[0],l=t.dragData.possibleDragElements;t.hoverData.mdownPos=a,t.hoverData.mdownGPos=r;var h=function(){t.hoverData.tapholdCancelled=!1,clearTimeout(t.hoverData.tapholdTimeout),t.hoverData.tapholdTimeout=setTimeout((function(){if(!t.hoverData.tapholdCancelled){var n=t.hoverData.down;n?n.emit({originalEvent:e,type:"taphold",position:{x:a[0],y:a[1]}}):i.emit({originalEvent:e,type:"taphold",position:{x:a[0],y:a[1]}})}}),t.tapholdDuration)};if(3==e.which){t.hoverData.cxtStarted=!0;var f={originalEvent:e,type:"cxttapstart",position:{x:a[0],y:a[1]}};c?(c.activate(),c.emit(f),t.hoverData.down=c):i.emit(f),t.hoverData.downTime=(new Date).getTime(),t.hoverData.cxtDragged=!1}else if(1==e.which){if(c&&c.activate(),null!=c&&t.nodeIsGrabbable(c)){var p=function(t){return{originalEvent:e,type:t,position:{x:a[0],y:a[1]}}},b=function(t){t.emit(p("grab"))};if(u(c),c.selected()){l=t.dragData.possibleDragElements=i.collection();var y=i.$((function(e){return e.isNode()&&e.selected()&&t.nodeIsGrabbable(e)}));d(y,{addToList:l}),c.emit(p("grabon")),y.forEach(b)}else l=t.dragData.possibleDragElements=i.collection(),g(c,{addToList:l}),c.emit(p("grabon")).emit(p("grab"));t.redrawHint("eles",!0),t.redrawHint("drag",!0)}t.hoverData.down=c,t.hoverData.downs=s,t.hoverData.downTime=(new Date).getTime(),n(c,["mousedown","tapstart","vmousedown"],e,{x:a[0],y:a[1]}),null==c?(o[4]=1,t.data.bgActivePosistion={x:a[0],y:a[1]},t.redrawHint("select",!0),t.redraw()):c.pannable()&&(o[4]=1),h()}o[0]=o[2]=a[0],o[1]=o[3]=a[1]}}),!1),t.registerBinding(window,"mousemove",(function(e){if(t.hoverData.capture||A(e)){var a=!1,o=t.cy,s=o.zoom(),c=[e.clientX,e.clientY],u=t.projectIntoViewport(c[0],c[1]),l=t.hoverData.mdownPos,h=t.hoverData.mdownGPos,f=t.selection,g=null;t.hoverData.draggingEles||t.hoverData.dragging||t.hoverData.selecting||(g=t.findNearestElement(u[0],u[1],!0,!1));var b,w=t.hoverData.last,y=t.hoverData.down,m=[u[0]-f[2],u[1]-f[3]],v=t.dragData.possibleDragElements;if(h){var x=c[0]-h[0],k=x*x,_=c[1]-h[1],T=k+_*_;t.hoverData.isOverThresholdDrag=b=T>=t.desktopTapThreshold2}var C=i(e);b&&(t.hoverData.tapholdCancelled=!0);var S=function(){var e=t.hoverData.dragDelta=t.hoverData.dragDelta||[];0===e.length?(e.push(m[0]),e.push(m[1])):(e[0]+=m[0],e[1]+=m[1])};a=!0,n(g,["mousemove","vmousemove","tapdrag"],e,{x:u[0],y:u[1]});var M=function(){t.data.bgActivePosistion=void 0,t.hoverData.selecting||o.emit({originalEvent:e,type:"boxstart",position:{x:u[0],y:u[1]}}),f[4]=1,t.hoverData.selecting=!0,t.redrawHint("select",!0),t.redraw()};if(3===t.hoverData.which){if(b){var I={originalEvent:e,type:"cxtdrag",position:{x:u[0],y:u[1]}};y?y.emit(I):o.emit(I),t.hoverData.cxtDragged=!0,t.hoverData.cxtOver&&g===t.hoverData.cxtOver||(t.hoverData.cxtOver&&t.hoverData.cxtOver.emit({originalEvent:e,type:"cxtdragout",position:{x:u[0],y:u[1]}}),t.hoverData.cxtOver=g,g&&g.emit({originalEvent:e,type:"cxtdragover",position:{x:u[0],y:u[1]}}))}}else if(t.hoverData.dragging){if(a=!0,o.panningEnabled()&&o.userPanningEnabled()){var L;if(t.hoverData.justStartedPan){var D=t.hoverData.mdownPos;L={x:(u[0]-D[0])*s,y:(u[1]-D[1])*s},t.hoverData.justStartedPan=!1}else L={x:m[0]*s,y:m[1]*s};o.panBy(L),o.emit("dragpan"),t.hoverData.dragged=!0}u=t.projectIntoViewport(e.clientX,e.clientY)}else if(1!=f[4]||null!=y&&!y.pannable()){if(y&&y.pannable()&&y.active()&&y.unactivate(),y&&y.grabbed()||g==w||(w&&n(w,["mouseout","tapdragout"],e,{x:u[0],y:u[1]}),g&&n(g,["mouseover","tapdragover"],e,{x:u[0],y:u[1]}),t.hoverData.last=g),y)if(b){if(o.boxSelectionEnabled()&&C)y&&y.grabbed()&&(p(v),y.emit("freeon"),v.emit("free"),t.dragData.didDrag&&(y.emit("dragfreeon"),v.emit("dragfree"))),M();else if(y&&y.grabbed()&&t.nodeIsDraggable(y)){var O=!t.dragData.didDrag;O&&t.redrawHint("eles",!0),t.dragData.didDrag=!0,t.hoverData.draggingEles||d(v,{inDragLayer:!0});var N={x:0,y:0};if(E(m[0])&&E(m[1])&&(N.x+=m[0],N.y+=m[1],O)){var P=t.hoverData.dragDelta;P&&E(P[0])&&E(P[1])&&(N.x+=P[0],N.y+=P[1])}t.hoverData.draggingEles=!0,v.silentShift(N).emit("position drag"),t.redrawHint("drag",!0),t.redraw()}}else S();a=!0}else b&&(t.hoverData.dragging||!o.boxSelectionEnabled()||!C&&o.panningEnabled()&&o.userPanningEnabled()?!t.hoverData.selecting&&o.panningEnabled()&&o.userPanningEnabled()&&r(y,t.hoverData.downs)&&(t.hoverData.dragging=!0,t.hoverData.justStartedPan=!0,f[4]=0,t.data.bgActivePosistion=dn(l),t.redrawHint("select",!0),t.redraw()):M(),y&&y.pannable()&&y.active()&&y.unactivate());return f[2]=u[0],f[3]=u[1],a?(e.stopPropagation&&e.stopPropagation(),e.preventDefault&&e.preventDefault(),!1):void 0}}),!1),t.registerBinding(window,"mouseup",(function(r){if(t.hoverData.capture){t.hoverData.capture=!1;var a=t.cy,o=t.projectIntoViewport(r.clientX,r.clientY),s=t.selection,c=t.findNearestElement(o[0],o[1],!0,!1),u=t.dragData.possibleDragElements,l=t.hoverData.down,h=i(r);if(t.data.bgActivePosistion&&(t.redrawHint("select",!0),t.redraw()),t.hoverData.tapholdCancelled=!0,t.data.bgActivePosistion=void 0,l&&l.unactivate(),3===t.hoverData.which){var f={originalEvent:r,type:"cxttapend",position:{x:o[0],y:o[1]}};if(l?l.emit(f):a.emit(f),!t.hoverData.cxtDragged){var d={originalEvent:r,type:"cxttap",position:{x:o[0],y:o[1]}};l?l.emit(d):a.emit(d)}t.hoverData.cxtDragged=!1,t.hoverData.which=null}else if(1===t.hoverData.which){if(n(c,["mouseup","tapend","vmouseup"],r,{x:o[0],y:o[1]}),t.dragData.didDrag||t.hoverData.dragged||t.hoverData.selecting||t.hoverData.isOverThresholdDrag||(n(l,["click","tap","vclick"],r,{x:o[0],y:o[1]}),T=!1,r.timeStamp-C<=a.multiClickDebounceTime()?(_&&clearTimeout(_),T=!0,C=null,n(l,["dblclick","dbltap","vdblclick"],r,{x:o[0],y:o[1]})):(_=setTimeout((function(){T||n(l,["oneclick","onetap","voneclick"],r,{x:o[0],y:o[1]})}),a.multiClickDebounceTime()),C=r.timeStamp)),null!=l||t.dragData.didDrag||t.hoverData.selecting||t.hoverData.dragged||i(r)||(a.$(e).unselect(["tapunselect"]),u.length>0&&t.redrawHint("eles",!0),t.dragData.possibleDragElements=u=a.collection()),c!=l||t.dragData.didDrag||t.hoverData.selecting||null!=c&&c._private.selectable&&(t.hoverData.dragging||("additive"===a.selectionType()||h?c.selected()?c.unselect(["tapunselect"]):c.select(["tapselect"]):h||(a.$(e).unmerge(c).unselect(["tapunselect"]),c.select(["tapselect"]))),t.redrawHint("eles",!0)),t.hoverData.selecting){var g=a.collection(t.getAllInBox(s[0],s[1],s[2],s[3]));t.redrawHint("select",!0),g.length>0&&t.redrawHint("eles",!0),a.emit({type:"boxend",originalEvent:r,position:{x:o[0],y:o[1]}});var b=function(t){return t.selectable()&&!t.selected()};"additive"===a.selectionType()||h||a.$(e).unmerge(g).unselect(),g.emit("box").stdFilter(b).select().emit("boxselect"),t.redraw()}if(t.hoverData.dragging&&(t.hoverData.dragging=!1,t.redrawHint("select",!0),t.redrawHint("eles",!0),t.redraw()),!s[4]){t.redrawHint("drag",!0),t.redrawHint("eles",!0);var w=l&&l.grabbed();p(u),w&&(l.emit("freeon"),u.emit("free"),t.dragData.didDrag&&(l.emit("dragfreeon"),u.emit("dragfree")))}}s[4]=0,t.hoverData.down=null,t.hoverData.cxtStarted=!1,t.hoverData.draggingEles=!1,t.hoverData.selecting=!1,t.hoverData.isOverThresholdDrag=!1,t.dragData.didDrag=!1,t.hoverData.dragged=!1,t.hoverData.dragDelta=[],t.hoverData.mdownPos=null,t.hoverData.mdownGPos=null}}),!1);var M,I,L,D,O,N,P,B,F,R,$,j,z,q=function(e){if(!t.scrollingPage){var n=t.cy,i=n.zoom(),r=n.pan(),a=t.projectIntoViewport(e.clientX,e.clientY),o=[a[0]*i+r.x,a[1]*i+r.y];if(t.hoverData.draggingEles||t.hoverData.dragging||t.hoverData.cxtStarted||S())e.preventDefault();else if(n.panningEnabled()&&n.userPanningEnabled()&&n.zoomingEnabled()&&n.userZoomingEnabled()){var s;e.preventDefault(),t.data.wheelZooming=!0,clearTimeout(t.data.wheelTimeout),t.data.wheelTimeout=setTimeout((function(){t.data.wheelZooming=!1,t.redrawHint("eles",!0),t.redraw()}),150),s=null!=e.deltaY?e.deltaY/-250:null!=e.wheelDeltaY?e.wheelDeltaY/1e3:e.wheelDelta/1e3,s*=t.wheelSensitivity,1===e.deltaMode&&(s*=33);var c=n.zoom()*Math.pow(10,s);"gesturechange"===e.type&&(c=t.gestureStartZoom*e.scale),n.zoom({level:c,renderedPosition:{x:o[0],y:o[1]}}),n.emit("gesturechange"===e.type?"pinchzoom":"scrollzoom")}}};t.registerBinding(t.container,"wheel",q,!0),t.registerBinding(window,"scroll",(function(e){t.scrollingPage=!0,clearTimeout(t.scrollingPageTimeout),t.scrollingPageTimeout=setTimeout((function(){t.scrollingPage=!1}),250)}),!0),t.registerBinding(t.container,"gesturestart",(function(e){t.gestureStartZoom=t.cy.zoom(),t.hasTouchStarted||e.preventDefault()}),!0),t.registerBinding(t.container,"gesturechange",(function(e){t.hasTouchStarted||q(e)}),!0),t.registerBinding(t.container,"mouseout",(function(e){var n=t.projectIntoViewport(e.clientX,e.clientY);t.cy.emit({originalEvent:e,type:"mouseout",position:{x:n[0],y:n[1]}})}),!1),t.registerBinding(t.container,"mouseover",(function(e){var n=t.projectIntoViewport(e.clientX,e.clientY);t.cy.emit({originalEvent:e,type:"mouseover",position:{x:n[0],y:n[1]}})}),!1);var H,Z,U,Y,G,K,W,X=function(t,e,n,i){return Math.sqrt((n-t)*(n-t)+(i-e)*(i-e))},V=function(t,e,n,i){return(n-t)*(n-t)+(i-e)*(i-e)};if(t.registerBinding(t.container,"touchstart",H=function(e){if(t.hasTouchStarted=!0,A(e)){w(),t.touchData.capture=!0,t.data.bgActivePosistion=void 0;var i=t.cy,r=t.touchData.now,a=t.touchData.earlier;if(e.touches[0]){var o=t.projectIntoViewport(e.touches[0].clientX,e.touches[0].clientY);r[0]=o[0],r[1]=o[1]}if(e.touches[1]&&(o=t.projectIntoViewport(e.touches[1].clientX,e.touches[1].clientY),r[2]=o[0],r[3]=o[1]),e.touches[2]&&(o=t.projectIntoViewport(e.touches[2].clientX,e.touches[2].clientY),r[4]=o[0],r[5]=o[1]),e.touches[1]){t.touchData.singleTouchMoved=!0,p(t.dragData.touchDragEles);var s=t.findContainerClientCoords();F=s[0],R=s[1],$=s[2],j=s[3],M=e.touches[0].clientX-F,I=e.touches[0].clientY-R,L=e.touches[1].clientX-F,D=e.touches[1].clientY-R,z=0<=M&&M<=$&&0<=L&&L<=$&&0<=I&&I<=j&&0<=D&&D<=j;var c=i.pan(),l=i.zoom();O=X(M,I,L,D),N=V(M,I,L,D),B=[((P=[(M+L)/2,(I+D)/2])[0]-c.x)/l,(P[1]-c.y)/l];var h=200;if(N<h*h&&!e.touches[2]){var f=t.findNearestElement(r[0],r[1],!0,!0),b=t.findNearestElement(r[2],r[3],!0,!0);return f&&f.isNode()?(f.activate().emit({originalEvent:e,type:"cxttapstart",position:{x:r[0],y:r[1]}}),t.touchData.start=f):b&&b.isNode()?(b.activate().emit({originalEvent:e,type:"cxttapstart",position:{x:r[0],y:r[1]}}),t.touchData.start=b):i.emit({originalEvent:e,type:"cxttapstart",position:{x:r[0],y:r[1]}}),t.touchData.start&&(t.touchData.start._private.grabbed=!1),t.touchData.cxt=!0,t.touchData.cxtDragged=!1,t.data.bgActivePosistion=void 0,void t.redraw()}}if(e.touches[2])i.boxSelectionEnabled()&&e.preventDefault();else if(e.touches[1]);else if(e.touches[0]){var y=t.findNearestElements(r[0],r[1],!0,!0),m=y[0];if(null!=m&&(m.activate(),t.touchData.start=m,t.touchData.starts=y,t.nodeIsGrabbable(m))){var v=t.dragData.touchDragEles=i.collection(),x=null;t.redrawHint("eles",!0),t.redrawHint("drag",!0),m.selected()?(x=i.$((function(e){return e.selected()&&t.nodeIsGrabbable(e)})),d(x,{addToList:v})):g(m,{addToList:v}),u(m);var k=function(t){return{originalEvent:e,type:t,position:{x:r[0],y:r[1]}}};m.emit(k("grabon")),x?x.forEach((function(t){t.emit(k("grab"))})):m.emit(k("grab"))}n(m,["touchstart","tapstart","vmousedown"],e,{x:r[0],y:r[1]}),null==m&&(t.data.bgActivePosistion={x:o[0],y:o[1]},t.redrawHint("select",!0),t.redraw()),t.touchData.singleTouchMoved=!1,t.touchData.singleTouchStartTime=+new Date,clearTimeout(t.touchData.tapholdTimeout),t.touchData.tapholdTimeout=setTimeout((function(){!1!==t.touchData.singleTouchMoved||t.pinching||t.touchData.selecting||n(t.touchData.start,["taphold"],e,{x:r[0],y:r[1]})}),t.tapholdDuration)}if(e.touches.length>=1){for(var _=t.touchData.startPosition=[],E=0;E<r.length;E++)_[E]=a[E]=r[E];var T=e.touches[0];t.touchData.startGPosition=[T.clientX,T.clientY]}}},!1),t.registerBinding(window,"touchmove",Z=function(e){var i=t.touchData.capture;if(i||A(e)){var a=t.selection,o=t.cy,s=t.touchData.now,c=t.touchData.earlier,u=o.zoom();if(e.touches[0]){var l=t.projectIntoViewport(e.touches[0].clientX,e.touches[0].clientY);s[0]=l[0],s[1]=l[1]}e.touches[1]&&(l=t.projectIntoViewport(e.touches[1].clientX,e.touches[1].clientY),s[2]=l[0],s[3]=l[1]),e.touches[2]&&(l=t.projectIntoViewport(e.touches[2].clientX,e.touches[2].clientY),s[4]=l[0],s[5]=l[1]);var h,f=t.touchData.startGPosition;if(i&&e.touches[0]&&f){for(var g=[],b=0;b<s.length;b++)g[b]=s[b]-c[b];var w=e.touches[0].clientX-f[0],y=w*w,m=e.touches[0].clientY-f[1];h=y+m*m>=t.touchTapThreshold2}if(i&&t.touchData.cxt){e.preventDefault();var v=e.touches[0].clientX-F,x=e.touches[0].clientY-R,k=e.touches[1].clientX-F,_=e.touches[1].clientY-R,T=V(v,x,k,_),C=150,S=1.5;if(T/N>=S*S||T>=C*C){t.touchData.cxt=!1,t.data.bgActivePosistion=void 0,t.redrawHint("select",!0);var P={originalEvent:e,type:"cxttapend",position:{x:s[0],y:s[1]}};t.touchData.start?(t.touchData.start.unactivate().emit(P),t.touchData.start=null):o.emit(P)}}if(i&&t.touchData.cxt){P={originalEvent:e,type:"cxtdrag",position:{x:s[0],y:s[1]}},t.data.bgActivePosistion=void 0,t.redrawHint("select",!0),t.touchData.start?t.touchData.start.emit(P):o.emit(P),t.touchData.start&&(t.touchData.start._private.grabbed=!1),t.touchData.cxtDragged=!0;var $=t.findNearestElement(s[0],s[1],!0,!0);t.touchData.cxtOver&&$===t.touchData.cxtOver||(t.touchData.cxtOver&&t.touchData.cxtOver.emit({originalEvent:e,type:"cxtdragout",position:{x:s[0],y:s[1]}}),t.touchData.cxtOver=$,$&&$.emit({originalEvent:e,type:"cxtdragover",position:{x:s[0],y:s[1]}}))}else if(i&&e.touches[2]&&o.boxSelectionEnabled())e.preventDefault(),t.data.bgActivePosistion=void 0,this.lastThreeTouch=+new Date,t.touchData.selecting||o.emit({originalEvent:e,type:"boxstart",position:{x:s[0],y:s[1]}}),t.touchData.selecting=!0,t.touchData.didSelect=!0,a[4]=1,a&&0!==a.length&&void 0!==a[0]?(a[2]=(s[0]+s[2]+s[4])/3,a[3]=(s[1]+s[3]+s[5])/3):(a[0]=(s[0]+s[2]+s[4])/3,a[1]=(s[1]+s[3]+s[5])/3,a[2]=(s[0]+s[2]+s[4])/3+1,a[3]=(s[1]+s[3]+s[5])/3+1),t.redrawHint("select",!0),t.redraw();else if(i&&e.touches[1]&&!t.touchData.didSelect&&o.zoomingEnabled()&&o.panningEnabled()&&o.userZoomingEnabled()&&o.userPanningEnabled()){if(e.preventDefault(),t.data.bgActivePosistion=void 0,t.redrawHint("select",!0),nt=t.dragData.touchDragEles){t.redrawHint("drag",!0);for(var j=0;j<nt.length;j++){var q=nt[j]._private;q.grabbed=!1,q.rscratch.inDragLayer=!1}}var H=t.touchData.start,Z=(v=e.touches[0].clientX-F,x=e.touches[0].clientY-R,k=e.touches[1].clientX-F,_=e.touches[1].clientY-R,X(v,x,k,_)),U=Z/O;if(z){var Y=(v-M+(k-L))/2,G=(x-I+(_-D))/2,K=o.zoom(),W=K*U,Q=o.pan(),J=B[0]*K+Q.x,tt=B[1]*K+Q.y,et={x:-W/K*(J-Q.x-Y)+J,y:-W/K*(tt-Q.y-G)+tt};if(H&&H.active()){var nt=t.dragData.touchDragEles;p(nt),t.redrawHint("drag",!0),t.redrawHint("eles",!0),H.unactivate().emit("freeon"),nt.emit("free"),t.dragData.didDrag&&(H.emit("dragfreeon"),nt.emit("dragfree"))}o.viewport({zoom:W,pan:et,cancelOnFailedZoom:!0}),o.emit("pinchzoom"),O=Z,M=v,I=x,L=k,D=_,t.pinching=!0}e.touches[0]&&(l=t.projectIntoViewport(e.touches[0].clientX,e.touches[0].clientY),s[0]=l[0],s[1]=l[1]),e.touches[1]&&(l=t.projectIntoViewport(e.touches[1].clientX,e.touches[1].clientY),s[2]=l[0],s[3]=l[1]),e.touches[2]&&(l=t.projectIntoViewport(e.touches[2].clientX,e.touches[2].clientY),s[4]=l[0],s[5]=l[1])}else if(e.touches[0]&&!t.touchData.didSelect){var it=t.touchData.start,rt=t.touchData.last;if(t.hoverData.draggingEles||t.swipePanning||($=t.findNearestElement(s[0],s[1],!0,!0)),i&&null!=it&&e.preventDefault(),i&&null!=it&&t.nodeIsDraggable(it))if(h){nt=t.dragData.touchDragEles;var at=!t.dragData.didDrag;at&&d(nt,{inDragLayer:!0}),t.dragData.didDrag=!0;var ot={x:0,y:0};E(g[0])&&E(g[1])&&(ot.x+=g[0],ot.y+=g[1],at&&(t.redrawHint("eles",!0),(st=t.touchData.dragDelta)&&E(st[0])&&E(st[1])&&(ot.x+=st[0],ot.y+=st[1]))),t.hoverData.draggingEles=!0,nt.silentShift(ot).emit("position drag"),t.redrawHint("drag",!0),t.touchData.startPosition[0]==c[0]&&t.touchData.startPosition[1]==c[1]&&t.redrawHint("eles",!0),t.redraw()}else{var st;0===(st=t.touchData.dragDelta=t.touchData.dragDelta||[]).length?(st.push(g[0]),st.push(g[1])):(st[0]+=g[0],st[1]+=g[1])}if(n(it||$,["touchmove","tapdrag","vmousemove"],e,{x:s[0],y:s[1]}),it&&it.grabbed()||$==rt||(rt&&rt.emit({originalEvent:e,type:"tapdragout",position:{x:s[0],y:s[1]}}),$&&$.emit({originalEvent:e,type:"tapdragover",position:{x:s[0],y:s[1]}})),t.touchData.last=$,i)for(j=0;j<s.length;j++)s[j]&&t.touchData.startPosition[j]&&h&&(t.touchData.singleTouchMoved=!0);i&&(null==it||it.pannable())&&o.panningEnabled()&&o.userPanningEnabled()&&(r(it,t.touchData.starts)&&(e.preventDefault(),t.data.bgActivePosistion||(t.data.bgActivePosistion=dn(t.touchData.startPosition)),t.swipePanning?(o.panBy({x:g[0]*u,y:g[1]*u}),o.emit("dragpan")):h&&(t.swipePanning=!0,o.panBy({x:w*u,y:m*u}),o.emit("dragpan"),it&&(it.unactivate(),t.redrawHint("select",!0),t.touchData.start=null))),l=t.projectIntoViewport(e.touches[0].clientX,e.touches[0].clientY),s[0]=l[0],s[1]=l[1])}for(b=0;b<s.length;b++)c[b]=s[b];i&&e.touches.length>0&&!t.hoverData.draggingEles&&!t.swipePanning&&null!=t.data.bgActivePosistion&&(t.data.bgActivePosistion=void 0,t.redrawHint("select",!0),t.redraw())}},!1),t.registerBinding(window,"touchcancel",U=function(e){var n=t.touchData.start;t.touchData.capture=!1,n&&n.unactivate()}),t.registerBinding(window,"touchend",Y=function(i){var r=t.touchData.start;if(t.touchData.capture){0===i.touches.length&&(t.touchData.capture=!1),i.preventDefault();var a=t.selection;t.swipePanning=!1,t.hoverData.draggingEles=!1;var o,s=t.cy,c=s.zoom(),u=t.touchData.now,l=t.touchData.earlier;if(i.touches[0]){var h=t.projectIntoViewport(i.touches[0].clientX,i.touches[0].clientY);u[0]=h[0],u[1]=h[1]}if(i.touches[1]&&(h=t.projectIntoViewport(i.touches[1].clientX,i.touches[1].clientY),u[2]=h[0],u[3]=h[1]),i.touches[2]&&(h=t.projectIntoViewport(i.touches[2].clientX,i.touches[2].clientY),u[4]=h[0],u[5]=h[1]),r&&r.unactivate(),t.touchData.cxt){if(o={originalEvent:i,type:"cxttapend",position:{x:u[0],y:u[1]}},r?r.emit(o):s.emit(o),!t.touchData.cxtDragged){var f={originalEvent:i,type:"cxttap",position:{x:u[0],y:u[1]}};r?r.emit(f):s.emit(f)}return t.touchData.start&&(t.touchData.start._private.grabbed=!1),t.touchData.cxt=!1,t.touchData.start=null,void t.redraw()}if(!i.touches[2]&&s.boxSelectionEnabled()&&t.touchData.selecting){t.touchData.selecting=!1;var d=s.collection(t.getAllInBox(a[0],a[1],a[2],a[3]));a[0]=void 0,a[1]=void 0,a[2]=void 0,a[3]=void 0,a[4]=0,t.redrawHint("select",!0),s.emit({type:"boxend",originalEvent:i,position:{x:u[0],y:u[1]}});var g=function(t){return t.selectable()&&!t.selected()};d.emit("box").stdFilter(g).select().emit("boxselect"),d.nonempty()&&t.redrawHint("eles",!0),t.redraw()}if(null!=r&&r.unactivate(),i.touches[2])t.data.bgActivePosistion=void 0,t.redrawHint("select",!0);else if(i.touches[1]);else if(i.touches[0]);else if(!i.touches[0]){t.data.bgActivePosistion=void 0,t.redrawHint("select",!0);var b=t.dragData.touchDragEles;if(null!=r){var w=r._private.grabbed;p(b),t.redrawHint("drag",!0),t.redrawHint("eles",!0),w&&(r.emit("freeon"),b.emit("free"),t.dragData.didDrag&&(r.emit("dragfreeon"),b.emit("dragfree"))),n(r,["touchend","tapend","vmouseup","tapdragout"],i,{x:u[0],y:u[1]}),r.unactivate(),t.touchData.start=null}else{var y=t.findNearestElement(u[0],u[1],!0,!0);n(y,["touchend","tapend","vmouseup","tapdragout"],i,{x:u[0],y:u[1]})}var m=t.touchData.startPosition[0]-u[0],v=m*m,x=t.touchData.startPosition[1]-u[1],k=(v+x*x)*c*c;t.touchData.singleTouchMoved||(r||s.$(":selected").unselect(["tapunselect"]),n(r,["tap","vclick"],i,{x:u[0],y:u[1]}),G=!1,i.timeStamp-W<=s.multiClickDebounceTime()?(K&&clearTimeout(K),G=!0,W=null,n(r,["dbltap","vdblclick"],i,{x:u[0],y:u[1]})):(K=setTimeout((function(){G||n(r,["onetap","voneclick"],i,{x:u[0],y:u[1]})}),s.multiClickDebounceTime()),W=i.timeStamp)),null!=r&&!t.dragData.didDrag&&r._private.selectable&&k<t.touchTapThreshold2&&!t.pinching&&("single"===s.selectionType()?(s.$(e).unmerge(r).unselect(["tapunselect"]),r.select(["tapselect"])):r.selected()?r.unselect(["tapunselect"]):r.select(["tapselect"]),t.redrawHint("eles",!0)),t.touchData.singleTouchMoved=!0}for(var _=0;_<u.length;_++)l[_]=u[_];t.dragData.didDrag=!1,0===i.touches.length&&(t.touchData.dragDelta=[],t.touchData.startPosition=null,t.touchData.startGPosition=null,t.touchData.didSelect=!1),i.touches.length<2&&(1===i.touches.length&&(t.touchData.startGPosition=[i.touches[0].clientX,i.touches[0].clientY]),t.pinching=!1,t.redrawHint("eles",!0),t.redraw())}},!1),"undefined"==typeof TouchEvent){var Q=[],J=function(t){return{clientX:t.clientX,clientY:t.clientY,force:1,identifier:t.pointerId,pageX:t.pageX,pageY:t.pageY,radiusX:t.width/2,radiusY:t.height/2,screenX:t.screenX,screenY:t.screenY,target:t.target}},tt=function(t){return{event:t,touch:J(t)}},et=function(t){Q.push(tt(t))},nt=function(t){for(var e=0;e<Q.length;e++)if(Q[e].event.pointerId===t.pointerId)return void Q.splice(e,1)},it=function(t){var e=Q.filter((function(e){return e.event.pointerId===t.pointerId}))[0];e.event=t,e.touch=J(t)},rt=function(t){t.touches=Q.map((function(t){return t.touch}))},at=function(t){return"mouse"===t.pointerType||4===t.pointerType};t.registerBinding(t.container,"pointerdown",(function(t){at(t)||(t.preventDefault(),et(t),rt(t),H(t))})),t.registerBinding(t.container,"pointerup",(function(t){at(t)||(nt(t),rt(t),Y(t))})),t.registerBinding(t.container,"pointercancel",(function(t){at(t)||(nt(t),rt(t),U(t))})),t.registerBinding(t.container,"pointermove",(function(t){at(t)||(t.preventDefault(),it(t),rt(t),Z(t))}))}}},kh={generatePolygon:function(t,e){return this.nodeShapes[t]={renderer:this,name:t,points:e,draw:function(t,e,n,i,r){this.renderer.nodeShapeImpl("polygon",t,e,n,i,r,this.points)},intersectLine:function(t,e,n,i,r,a,o){return ri(r,a,this.points,t,e,n/2,i/2,o)},checkPoint:function(t,e,n,i,r,a,o){return Wn(t,e,this.points,a,o,i,r,[0,-1],n)}}},generateEllipse:function(){return this.nodeShapes.ellipse={renderer:this,name:"ellipse",draw:function(t,e,n,i,r){this.renderer.nodeShapeImpl(this.name,t,e,n,i,r)},intersectLine:function(t,e,n,i,r,a,o){return Jn(r,a,t,e,n/2+o,i/2+o)},checkPoint:function(t,e,n,i,r,a,o){return ti(t,e,i,r,a,o,n)}}},generateRoundPolygon:function(t,e){for(var n=new Array(2*e.length),i=0;i<e.length/2;i++){var r=2*i,a=void 0;a=i<e.length/2-1?2*(i+1):0,n[4*i]=e[r],n[4*i+1]=e[r+1];var o=e[a]-e[r],s=e[a+1]-e[r+1],c=Math.sqrt(o*o+s*s);n[4*i+2]=o/c,n[4*i+3]=s/c}return this.nodeShapes[t]={renderer:this,name:t,points:n,draw:function(t,e,n,i,r){this.renderer.nodeShapeImpl("round-polygon",t,e,n,i,r,this.points)},intersectLine:function(t,e,n,i,r,a,o){return ai(r,a,this.points,t,e,n,i)},checkPoint:function(t,e,n,i,r,a,o){return Xn(t,e,this.points,a,o,i,r)}}},generateRoundRectangle:function(){return this.nodeShapes["round-rectangle"]=this.nodeShapes.roundrectangle={renderer:this,name:"round-rectangle",points:si(4,0),draw:function(t,e,n,i,r){this.renderer.nodeShapeImpl(this.name,t,e,n,i,r)},intersectLine:function(t,e,n,i,r,a,o){return zn(r,a,t,e,n,i,o)},checkPoint:function(t,e,n,i,r,a,o){var s=li(i,r),c=2*s;return!!(Wn(t,e,this.points,a,o,i,r-c,[0,-1],n)||Wn(t,e,this.points,a,o,i-c,r,[0,-1],n)||ti(t,e,c,c,a-i/2+s,o-r/2+s,n)||ti(t,e,c,c,a+i/2-s,o-r/2+s,n)||ti(t,e,c,c,a+i/2-s,o+r/2-s,n)||ti(t,e,c,c,a-i/2+s,o+r/2-s,n))}}},generateCutRectangle:function(){return this.nodeShapes["cut-rectangle"]=this.nodeShapes.cutrectangle={renderer:this,name:"cut-rectangle",cornerLength:fi(),points:si(4,0),draw:function(t,e,n,i,r){this.renderer.nodeShapeImpl(this.name,t,e,n,i,r)},generateCutTrianglePts:function(t,e,n,i){var r=this.cornerLength,a=e/2,o=t/2,s=n-o,c=n+o,u=i-a,l=i+a;return{topLeft:[s,u+r,s+r,u,s+r,u+r],topRight:[c-r,u,c,u+r,c-r,u+r],bottomRight:[c,l-r,c-r,l,c-r,l-r],bottomLeft:[s+r,l,s,l-r,s+r,l-r]}},intersectLine:function(t,e,n,i,r,a,o){var s=this.generateCutTrianglePts(n+2*o,i+2*o,t,e),c=[].concat.apply([],[s.topLeft.splice(0,4),s.topRight.splice(0,4),s.bottomRight.splice(0,4),s.bottomLeft.splice(0,4)]);return ri(r,a,c,t,e)},checkPoint:function(t,e,n,i,r,a,o){if(Wn(t,e,this.points,a,o,i,r-2*this.cornerLength,[0,-1],n))return!0;if(Wn(t,e,this.points,a,o,i-2*this.cornerLength,r,[0,-1],n))return!0;var s=this.generateCutTrianglePts(i,r,a,o);return Kn(t,e,s.topLeft)||Kn(t,e,s.topRight)||Kn(t,e,s.bottomRight)||Kn(t,e,s.bottomLeft)}}},generateBarrel:function(){return this.nodeShapes.barrel={renderer:this,name:"barrel",points:si(4,0),draw:function(t,e,n,i,r){this.renderer.nodeShapeImpl(this.name,t,e,n,i,r)},intersectLine:function(t,e,n,i,r,a,o){var s=.15,c=.5,u=.85,l=this.generateBarrelBezierPts(n+2*o,i+2*o,t,e),h=function(t){var e=Cn({x:t[0],y:t[1]},{x:t[2],y:t[3]},{x:t[4],y:t[5]},s),n=Cn({x:t[0],y:t[1]},{x:t[2],y:t[3]},{x:t[4],y:t[5]},c),i=Cn({x:t[0],y:t[1]},{x:t[2],y:t[3]},{x:t[4],y:t[5]},u);return[t[0],t[1],e.x,e.y,n.x,n.y,i.x,i.y,t[4],t[5]]},f=[].concat(h(l.topLeft),h(l.topRight),h(l.bottomRight),h(l.bottomLeft));return ri(r,a,f,t,e)},generateBarrelBezierPts:function(t,e,n,i){var r=e/2,a=t/2,o=n-a,s=n+a,c=i-r,u=i+r,l=gi(t,e),h=l.heightOffset,f=l.widthOffset,d=l.ctrlPtOffsetPct*t,g={topLeft:[o,c+h,o+d,c,o+f,c],topRight:[s-f,c,s-d,c,s,c+h],bottomRight:[s,u-h,s-d,u,s-f,u],bottomLeft:[o+f,u,o+d,u,o,u-h]};return g.topLeft.isTop=!0,g.topRight.isTop=!0,g.bottomLeft.isBottom=!0,g.bottomRight.isBottom=!0,g},checkPoint:function(t,e,n,i,r,a,o){var s=gi(i,r),c=s.heightOffset,u=s.widthOffset;if(Wn(t,e,this.points,a,o,i,r-2*c,[0,-1],n))return!0;if(Wn(t,e,this.points,a,o,i-2*u,r,[0,-1],n))return!0;for(var l=this.generateBarrelBezierPts(i,r,a,o),h=function(t,e,n){var i=n[4],r=n[2],a=n[0],o=n[5],s=n[1],c=Math.min(i,a),u=Math.max(i,a),l=Math.min(o,s),h=Math.max(o,s);if(c<=t&&t<=u&&l<=e&&e<=h){var f=di(i,r,a),d=Zn(f[0],f[1],f[2],t).filter((function(t){return 0<=t&&t<=1}));if(d.length>0)return d[0]}return null},f=Object.keys(l),d=0;d<f.length;d++){var g=l[f[d]],p=h(t,e,g);if(null!=p){var b=g[5],w=g[3],y=g[1],m=Tn(b,w,y,p);if(g.isTop&&m<=e)return!0;if(g.isBottom&&e<=m)return!0}}return!1}}},generateBottomRoundrectangle:function(){return this.nodeShapes["bottom-round-rectangle"]=this.nodeShapes.bottomroundrectangle={renderer:this,name:"bottom-round-rectangle",points:si(4,0),draw:function(t,e,n,i,r){this.renderer.nodeShapeImpl(this.name,t,e,n,i,r)},intersectLine:function(t,e,n,i,r,a,o){var s=e-(i/2+o),c=ii(r,a,t,e,t-(n/2+o),s,t+(n/2+o),s,!1);return c.length>0?c:zn(r,a,t,e,n,i,o)},checkPoint:function(t,e,n,i,r,a,o){var s=li(i,r),c=2*s;if(Wn(t,e,this.points,a,o,i,r-c,[0,-1],n))return!0;if(Wn(t,e,this.points,a,o,i-c,r,[0,-1],n))return!0;var u=i/2+2*n,l=r/2+2*n;return!!Kn(t,e,[a-u,o-l,a-u,o,a+u,o,a+u,o-l])||!!ti(t,e,c,c,a+i/2-s,o+r/2-s,n)||!!ti(t,e,c,c,a-i/2+s,o+r/2-s,n)}}},registerNodeShapes:function(){var t=this.nodeShapes={},e=this;this.generateEllipse(),this.generatePolygon("triangle",si(3,0)),this.generateRoundPolygon("round-triangle",si(3,0)),this.generatePolygon("rectangle",si(4,0)),t.square=t.rectangle,this.generateRoundRectangle(),this.generateCutRectangle(),this.generateBarrel(),this.generateBottomRoundrectangle();var n=[0,1,1,0,0,-1,-1,0];this.generatePolygon("diamond",n),this.generateRoundPolygon("round-diamond",n),this.generatePolygon("pentagon",si(5,0)),this.generateRoundPolygon("round-pentagon",si(5,0)),this.generatePolygon("hexagon",si(6,0)),this.generateRoundPolygon("round-hexagon",si(6,0)),this.generatePolygon("heptagon",si(7,0)),this.generateRoundPolygon("round-heptagon",si(7,0)),this.generatePolygon("octagon",si(8,0)),this.generateRoundPolygon("round-octagon",si(8,0));var i=new Array(20),r=ui(5,0),a=ui(5,Math.PI/5),o=.5*(3-Math.sqrt(5));o*=1.57;for(var s=0;s<a.length/2;s++)a[2*s]*=o,a[2*s+1]*=o;for(s=0;s<5;s++)i[4*s]=r[2*s],i[4*s+1]=r[2*s+1],i[4*s+2]=a[2*s],i[4*s+3]=a[2*s+1];i=ci(i),this.generatePolygon("star",i),this.generatePolygon("vee",[-1,-1,0,-.333,1,-1,0,1]),this.generatePolygon("rhomboid",[-1,-1,.333,-1,1,1,-.333,1]),this.nodeShapes.concavehexagon=this.generatePolygon("concave-hexagon",[-1,-.95,-.75,0,-1,.95,1,.95,.75,0,1,-.95]);var c=[-1,-1,.25,-1,1,0,.25,1,-1,1];this.generatePolygon("tag",c),this.generateRoundPolygon("round-tag",c),t.makePolygon=function(t){var n,i="polygon-"+t.join("$");return(n=this[i])?n:e.generatePolygon(i,t)}}},_h={timeToRender:function(){return this.redrawTotalTime/this.redrawCount},redraw:function(t){t=t||Oe();var e=this;void 0===e.averageRedrawTime&&(e.averageRedrawTime=0),void 0===e.lastRedrawTime&&(e.lastRedrawTime=0),void 0===e.lastDrawTime&&(e.lastDrawTime=0),e.requestedFrame=!0,e.renderOptions=t},beforeRender:function(t,e){if(!this.destroyed){null==e&&Te("Priority is not optional for beforeRender");var n=this.beforeRenderCallbacks;n.push({fn:t,priority:e}),n.sort((function(t,e){return e.priority-t.priority}))}}},Eh=function(t,e,n){for(var i=t.beforeRenderCallbacks,r=0;r<i.length;r++)i[r].fn(e,n)};_h.startRenderLoop=function(){var t=this,e=t.cy;if(!t.renderLoopStarted){t.renderLoopStarted=!0;var n=function n(i){if(!t.destroyed){if(e.batching());else if(t.requestedFrame&&!t.skipFrame){Eh(t,!0,i);var r=ie();t.render(t.renderOptions);var a=t.lastDrawTime=ie();void 0===t.averageRedrawTime&&(t.averageRedrawTime=a-r),void 0===t.redrawCount&&(t.redrawCount=0),t.redrawCount++,void 0===t.redrawTotalTime&&(t.redrawTotalTime=0);var o=a-r;t.redrawTotalTime+=o,t.lastRedrawTime=o,t.averageRedrawTime=t.averageRedrawTime/2+o/2,t.requestedFrame=!1}else Eh(t,!1,i);t.skipFrame=!1,ne(n)}};ne(n)}};var Th=function(t){this.init(t)},Ch=Th.prototype;Ch.clientFunctions=["redrawHint","render","renderTo","matchCanvasSize","nodeShapeImpl","arrowShapeImpl"],Ch.init=function(t){var e=this;e.options=t,e.cy=t.cy;var n=e.container=t.cy.container();if(f){var i=f.document,r=i.head,a="__________cytoscape_stylesheet",o="__________cytoscape_container",s=null!=i.getElementById(a);if(n.className.indexOf(o)<0&&(n.className=(n.className||"")+" "+o),!s){var c=i.createElement("style");c.id=a,c.innerHTML="."+o+" { position: relative; }",r.insertBefore(c,r.children[0])}"static"===f.getComputedStyle(n).getPropertyValue("position")&&Se("A Cytoscape container has style position:static and so can not use UI extensions properly")}e.selection=[void 0,void 0,void 0,void 0,0],e.bezierProjPcts=[.05,.225,.4,.5,.6,.775,.95],e.hoverData={down:null,last:null,downTime:null,triggerMode:null,dragging:!1,initialPan:[null,null],capture:!1},e.dragData={possibleDragElements:[]},e.touchData={start:null,capture:!1,startPosition:[null,null,null,null,null,null],singleTouchStartTime:null,singleTouchMoved:!0,now:[null,null,null,null,null,null],earlier:[null,null,null,null,null,null]},e.redraws=0,e.showFps=t.showFps,e.debug=t.debug,e.hideEdgesOnViewport=t.hideEdgesOnViewport,e.textureOnViewport=t.textureOnViewport,e.wheelSensitivity=t.wheelSensitivity,e.motionBlurEnabled=t.motionBlur,e.forcedPixelRatio=E(t.pixelRatio)?t.pixelRatio:null,e.motionBlur=t.motionBlur,e.motionBlurOpacity=t.motionBlurOpacity,e.motionBlurTransparency=1-e.motionBlurOpacity,e.motionBlurPxRatio=1,e.mbPxRBlurry=1,e.minMbLowQualFrames=4,e.fullQualityMb=!1,e.clearedForMotionBlur=[],e.desktopTapThreshold=t.desktopTapThreshold,e.desktopTapThreshold2=t.desktopTapThreshold*t.desktopTapThreshold,e.touchTapThreshold=t.touchTapThreshold,e.touchTapThreshold2=t.touchTapThreshold*t.touchTapThreshold,e.tapholdDuration=500,e.bindings=[],e.beforeRenderCallbacks=[],e.beforeRenderPriorities={animations:400,eleCalcs:300,eleTxrDeq:200,lyrTxrDeq:150,lyrTxrSkip:100},e.registerNodeShapes(),e.registerArrowShapes(),e.registerCalculationListeners()},Ch.notify=function(t,e){var n=this,i=n.cy;this.destroyed||("init"!==t?"destroy"!==t?(("add"===t||"remove"===t||"move"===t&&i.hasCompoundNodes()||"load"===t||"zorder"===t||"mount"===t)&&n.invalidateCachedZSortedEles(),"viewport"===t&&n.redrawHint("select",!0),"load"!==t&&"resize"!==t&&"mount"!==t||(n.invalidateContainerClientCoordsCache(),n.matchCanvasSize(n.container)),n.redrawHint("eles",!0),n.redrawHint("drag",!0),this.startRenderLoop(),this.redraw()):n.destroy():n.load())},Ch.destroy=function(){var t=this;t.destroyed=!0,t.cy.stopAnimationLoop();for(var e=0;e<t.bindings.length;e++){var n=t.bindings[e],i=n.target;(i.off||i.removeEventListener).apply(i,n.args)}if(t.bindings=[],t.beforeRenderCallbacks=[],t.onUpdateEleCalcsFns=[],t.removeObserver&&t.removeObserver.disconnect(),t.styleObserver&&t.styleObserver.disconnect(),t.resizeObserver&&t.resizeObserver.disconnect(),t.labelCalcDiv)try{document.body.removeChild(t.labelCalcDiv)}catch(t){}},Ch.isHeadless=function(){return!1},[nh,mh,vh,xh,kh,_h].forEach((function(t){Q(Ch,t)}));var Sh=1e3/60,Ah={setupDequeueing:function(t){return function(){var e=this,n=this.renderer;if(!e.dequeueingSetup){e.dequeueingSetup=!0;var i=Qt((function(){n.redrawHint("eles",!0),n.redrawHint("drag",!0),n.redraw()}),t.deqRedrawThreshold),r=function(r,a){var o=ie(),s=n.averageRedrawTime,c=n.lastRedrawTime,u=[],l=n.cy.extent(),h=n.getPixelRatio();for(r||n.flushRenderedStyleQueue();;){var f=ie(),d=f-o,g=f-a;if(c<Sh){var p=Sh-(r?s:0);if(g>=t.deqFastCost*p)break}else if(r){if(d>=t.deqCost*c||d>=t.deqAvgCost*s)break}else if(g>=t.deqNoDrawCost*Sh)break;var b=t.deq(e,h,l);if(!(b.length>0))break;for(var w=0;w<b.length;w++)u.push(b[w])}u.length>0&&(t.onDeqd(e,u),!r&&t.shouldRedraw(e,u,h,l)&&i())},a=t.priority||Ee;n.beforeRender(r,a(e))}}}},Mh=function(){function t(n){var i=arguments.length>1&&void 0!==arguments[1]?arguments[1]:ke;e(this,t),this.idsByKey=new ze,this.keyForId=new ze,this.cachesByLvl=new ze,this.lvls=[],this.getKey=n,this.doesEleInvalidateKey=i}return r(t,[{key:"getIdsFor",value:function(t){null==t&&Te("Can not get id list for null key");var e=this.idsByKey,n=this.idsByKey.get(t);return n||(n=new Ze,e.set(t,n)),n}},{key:"addIdForKey",value:function(t,e){null!=t&&this.getIdsFor(t).add(e)}},{key:"deleteIdForKey",value:function(t,e){null!=t&&this.getIdsFor(t).delete(e)}},{key:"getNumberOfIdsForKey",value:function(t){return null==t?0:this.getIdsFor(t).size}},{key:"updateKeyMappingFor",value:function(t){var e=t.id(),n=this.keyForId.get(e),i=this.getKey(t);this.deleteIdForKey(n,e),this.addIdForKey(i,e),this.keyForId.set(e,i)}},{key:"deleteKeyMappingFor",value:function(t){var e=t.id(),n=this.keyForId.get(e);this.deleteIdForKey(n,e),this.keyForId.delete(e)}},{key:"keyHasChangedFor",value:function(t){var e=t.id();return this.keyForId.get(e)!==this.getKey(t)}},{key:"isInvalid",value:function(t){return this.keyHasChangedFor(t)||this.doesEleInvalidateKey(t)}},{key:"getCachesAt",value:function(t){var e=this.cachesByLvl,n=this.lvls,i=e.get(t);return i||(i=new ze,e.set(t,i),n.push(t)),i}},{key:"getCache",value:function(t,e){return this.getCachesAt(e).get(t)}},{key:"get",value:function(t,e){var n=this.getKey(t),i=this.getCache(n,e);return null!=i&&this.updateKeyMappingFor(t),i}},{key:"getForCachedKey",value:function(t,e){var n=this.keyForId.get(t.id());return this.getCache(n,e)}},{key:"hasCache",value:function(t,e){return this.getCachesAt(e).has(t)}},{key:"has",value:function(t,e){var n=this.getKey(t);return this.hasCache(n,e)}},{key:"setCache",value:function(t,e,n){n.key=t,this.getCachesAt(e).set(t,n)}},{key:"set",value:function(t,e,n){var i=this.getKey(t);this.setCache(i,e,n),this.updateKeyMappingFor(t)}},{key:"deleteCache",value:function(t,e){this.getCachesAt(e).delete(t)}},{key:"delete",value:function(t,e){var n=this.getKey(t);this.deleteCache(n,e)}},{key:"invalidateKey",value:function(t){var e=this;this.lvls.forEach((function(n){return e.deleteCache(t,n)}))}},{key:"invalidate",value:function(t){var e=t.id(),n=this.keyForId.get(e);this.deleteKeyMappingFor(t);var i=this.doesEleInvalidateKey(t);return i&&this.invalidateKey(n),i||0===this.getNumberOfIdsForKey(n)}}]),t}(),Ih=25,Lh=50,Dh=-4,Oh=3,Nh=7.99,Ph=8,Bh=1024,Fh=1024,Rh=1024,$h=.2,jh=.8,zh=10,qh=.15,Hh=.1,Zh=.9,Uh=.9,Yh=100,Gh=1,Kh={dequeue:"dequeue",downscale:"downscale",highQuality:"highQuality"},Wh=Ne({getKey:null,doesEleInvalidateKey:ke,drawElement:null,getBoundingBox:null,getRotationPoint:null,getRotationOffset:null,isVisible:xe,allowEdgeTxrCaching:!0,allowParentTxrCaching:!0}),Xh=function(t,e){var n=this;n.renderer=t,n.onDequeues=[];var i=Wh(e);Q(n,i),n.lookup=new Mh(i.getKey,i.doesEleInvalidateKey),n.setupDequeueing()},Vh=Xh.prototype;Vh.reasons=Kh,Vh.getTextureQueue=function(t){var e=this;return e.eleImgCaches=e.eleImgCaches||{},e.eleImgCaches[t]=e.eleImgCaches[t]||[]},Vh.getRetiredTextureQueue=function(t){var e=this,n=e.eleImgCaches.retired=e.eleImgCaches.retired||{};return n[t]=n[t]||[]},Vh.getElementQueue=function(){var t=this;return t.eleCacheQueue=t.eleCacheQueue||new We((function(t,e){return e.reqs-t.reqs}))},Vh.getElementKeyToQueue=function(){var t=this;return t.eleKeyToCacheQueue=t.eleKeyToCacheQueue||{}},Vh.getElement=function(t,e,n,i,r){var a=this,o=this.renderer,s=o.cy.zoom(),c=this.lookup;if(!e||0===e.w||0===e.h||isNaN(e.w)||isNaN(e.h)||!t.visible()||t.removed())return null;if(!a.allowEdgeTxrCaching&&t.isEdge()||!a.allowParentTxrCaching&&t.isParent())return null;if(null==i&&(i=Math.ceil(vn(s*n))),i<Dh)i=Dh;else if(s>=Nh||i>Oh)return null;var u=Math.pow(2,i),l=e.h*u,h=e.w*u,f=o.eleTextBiggerThanMin(t,u);if(!this.isVisible(t,f))return null;var d,g=c.get(t,i);if(g&&g.invalidated&&(g.invalidated=!1,g.texture.invalidatedWidth-=g.width),g)return g;if(d=l<=Ih?Ih:l<=Lh?Lh:Math.ceil(l/Lh)*Lh,l>Rh||h>Fh)return null;var p=a.getTextureQueue(d),b=p[p.length-2],w=function(){return a.recycleTexture(d,h)||a.addTexture(d,h)};b||(b=p[p.length-1]),b||(b=w()),b.width-b.usedWidth<h&&(b=w());for(var y,m=function(t){return t&&t.scaledLabelShown===f},v=r&&r===Kh.dequeue,x=r&&r===Kh.highQuality,k=r&&r===Kh.downscale,_=i+1;_<=Oh;_++){var E=c.get(t,_);if(E){y=E;break}}var T=y&&y.level===i+1?y:null,C=function(){b.context.drawImage(T.texture.canvas,T.x,0,T.width,T.height,b.usedWidth,0,h,l)};if(b.context.setTransform(1,0,0,1,0,0),b.context.clearRect(b.usedWidth,0,h,d),m(T))C();else if(m(y)){if(!x)return a.queueElement(t,y.level-1),y;for(var S=y.level;S>i;S--)T=a.getElement(t,e,n,S,Kh.downscale);C()}else{var A;if(!v&&!x&&!k)for(var M=i-1;M>=Dh;M--){var I=c.get(t,M);if(I){A=I;break}}if(m(A))return a.queueElement(t,i),A;b.context.translate(b.usedWidth,0),b.context.scale(u,u),this.drawElement(b.context,t,e,f,!1),b.context.scale(1/u,1/u),b.context.translate(-b.usedWidth,0)}return g={x:b.usedWidth,texture:b,level:i,scale:u,width:h,height:l,scaledLabelShown:f},b.usedWidth+=Math.ceil(h+Ph),b.eleCaches.push(g),c.set(t,i,g),a.checkTextureFullness(b),g},Vh.invalidateElements=function(t){for(var e=0;e<t.length;e++)this.invalidateElement(t[e])},Vh.invalidateElement=function(t){var e=this,n=e.lookup,i=[];if(n.isInvalid(t)){for(var r=Dh;r<=Oh;r++){var a=n.getForCachedKey(t,r);a&&i.push(a)}if(n.invalidate(t))for(var o=0;o<i.length;o++){var s=i[o],c=s.texture;c.invalidatedWidth+=s.width,s.invalidated=!0,e.checkTextureUtility(c)}e.removeFromQueue(t)}},Vh.checkTextureUtility=function(t){t.invalidatedWidth>=$h*t.width&&this.retireTexture(t)},Vh.checkTextureFullness=function(t){var e=this.getTextureQueue(t.height);t.usedWidth/t.width>jh&&t.fullnessChecks>=zh?Pe(e,t):t.fullnessChecks++},Vh.retireTexture=function(t){var e=this,n=t.height,i=e.getTextureQueue(n),r=this.lookup;Pe(i,t),t.retired=!0;for(var a=t.eleCaches,o=0;o<a.length;o++){var s=a[o];r.deleteCache(s.key,s.level)}Be(a),e.getRetiredTextureQueue(n).push(t)},Vh.addTexture=function(t,e){var n=this,i={};return n.getTextureQueue(t).push(i),i.eleCaches=[],i.height=t,i.width=Math.max(Bh,e),i.usedWidth=0,i.invalidatedWidth=0,i.fullnessChecks=0,i.canvas=n.renderer.makeOffscreenCanvas(i.width,i.height),i.context=i.canvas.getContext("2d"),i},Vh.recycleTexture=function(t,e){for(var n=this,i=n.getTextureQueue(t),r=n.getRetiredTextureQueue(t),a=0;a<r.length;a++){var o=r[a];if(o.width>=e)return o.retired=!1,o.usedWidth=0,o.invalidatedWidth=0,o.fullnessChecks=0,Be(o.eleCaches),o.context.setTransform(1,0,0,1,0,0),o.context.clearRect(0,0,o.width,o.height),Pe(r,o),i.push(o),o}},Vh.queueElement=function(t,e){var n=this,i=n.getElementQueue(),r=n.getElementKeyToQueue(),a=this.getKey(t),o=r[a];if(o)o.level=Math.max(o.level,e),o.eles.merge(t),o.reqs++,i.updateItem(o);else{var s={eles:t.spawn().merge(t),level:e,reqs:1,key:a};i.push(s),r[a]=s}},Vh.dequeue=function(t){for(var e=this,n=e.getElementQueue(),i=e.getElementKeyToQueue(),r=[],a=e.lookup,o=0;o<Gh&&n.size()>0;o++){var s=n.pop(),c=s.key,u=s.eles[0],l=a.hasCache(u,s.level);if(i[c]=null,!l){r.push(s);var h=e.getBoundingBox(u);e.getElement(u,h,t,s.level,Kh.dequeue)}}return r},Vh.removeFromQueue=function(t){var e=this,n=e.getElementQueue(),i=e.getElementKeyToQueue(),r=this.getKey(t),a=i[r];null!=a&&(1===a.eles.length?(a.reqs=ve,n.updateItem(a),n.pop(),i[r]=null):a.eles.unmerge(t))},Vh.onDequeue=function(t){this.onDequeues.push(t)},Vh.offDequeue=function(t){Pe(this.onDequeues,t)},Vh.setupDequeueing=Ah.setupDequeueing({deqRedrawThreshold:Yh,deqCost:qh,deqAvgCost:Hh,deqNoDrawCost:Zh,deqFastCost:Uh,deq:function(t,e,n){return t.dequeue(e,n)},onDeqd:function(t,e){for(var n=0;n<t.onDequeues.length;n++)(0,t.onDequeues[n])(e)},shouldRedraw:function(t,e,n,i){for(var r=0;r<e.length;r++)for(var a=e[r].eles,o=0;o<a.length;o++){var s=a[o].boundingBox();if(Fn(s,i))return!0}return!1},priority:function(t){return t.renderer.beforeRenderPriorities.eleTxrDeq}});var 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i=this,r=i.renderer.cy.zoom(),a=i.firstGet;if(i.firstGet=!1,null==n)if((n=Math.ceil(vn(r*e)))<Jh)n=Jh;else if(r>=ef||n>tf)return null;i.validateLayersElesOrdering(n,t);var o,s,c=i.layersByLevel,u=Math.pow(2,n),l=c[n]=c[n]||[],h=function(){var e=function(e){if(i.validateLayersElesOrdering(e,t),i.levelIsComplete(e,t))return s=c[e],!0},r=function(t){if(!s)for(var i=n+t;Jh<=i&&i<=tf&&!e(i);i+=t);};r(1),r(-1);for(var a=l.length-1;a>=0;a--){var o=l[a];o.invalid&&Pe(l,o)}};if(i.levelIsComplete(n,t))return l;h();var f=function(){if(!o){o=Mn();for(var e=0;e<t.length;e++)Dn(o,t[e].boundingBox())}return o},d=function(t){var e=(t=t||{}).after;if(f(),o.w*u*(o.h*u)>hf)return null;var r=i.makeLayer(o,n);if(null!=e){var a=l.indexOf(e)+1;l.splice(a,0,r)}else(void 0===t.insert||t.insert)&&l.unshift(r);return r};if(i.skipping&&!a)return null;for(var g=null,p=t.length/Qh,b=!a,w=0;w<t.length;w++){var 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ait(t){if(!(t>=0))throw qw(new $v("tolerance ("+t+") must be >= 0"));return t}function oit(){return aTe||kut(aTe=new LFt,Ast(Zx($ie,1),HKt,130,0,[new Oh])),aTe}function sit(){sit=I,Zye=new US(hQt,0),qye=new US("INPUT",1),Hye=new US("OUTPUT",2)}function cit(){cit=I,gle=new TS("ARD",0),ble=new TS("MSD",1),ple=new TS("MANUAL",2)}function uit(){uit=I,Ime=new VS("BARYCENTER",0),Lme=new VS(E1t,1),Dme=new VS(T1t,2)}function lit(t,e){var n;if(n=t.gc(),e<0||e>n)throw qw(new eR(e,n));return new FR(t,e)}function hit(t,e){var n;return aO(e,42)?t.c.Mc(e):(n=apt(t,e),Wpt(t,e),n)}function fit(t,e,n){return Ilt(t,e),Prt(t,n),Nnt(t,0),Pnt(t,1),eft(t,!0),Qht(t,!0),t}function dit(t,e){if(t<0)throw qw(new $v(e+" cannot be negative but was: "+t));return t}function git(t,e){var n,i;for(n=0,i=t.gc();n<i;++n)if(aW(e,t.Xb(n)))return n;return-1}function pit(t){var e;for(e=t.c.Cc().Kc();e.Ob();)zz(e.Pb(),14).$b();t.c.$b(),t.d=0}function bit(t){var e,n,i,r;for(i=0,r=(n=t.a).length;i<r;++i)XY(e=n[i],e.length,null)}function wit(t){var e,n;if(0==t)return 32;for(n=0,e=1;0==(e&t);e<<=1)++n;return n}function yit(t){var e;for(e=new Kd(ivt(t));e.a<e.c.c.length;)zz(t0(e),680).Gf()}function mit(t){yT(),this.g=new Pw,this.f=new Pw,this.b=new Pw,this.c=new wQ,this.i=t}function vit(){this.f=new Zk,this.d=new gm,this.c=new Zk,this.a=new Nw,this.b=new Nw}function xit(t,e,n,i){this.rj(),this.a=e,this.b=t,this.c=null,this.c=new fR(this,e,n,i)}function kit(t,e,n,i,r){this.d=t,this.n=e,this.g=n,this.o=i,this.p=-1,r||(this.o=-2-i-1)}function _it(){IO.call(this),this.n=-1,this.g=null,this.i=null,this.j=null,this.Bb|=k6t}function Eit(){return e$t(),Ast(Zx(iIe,1),OWt,259,0,[ZMe,YMe,HMe,GMe,KMe,XMe,WMe,UMe,qMe])}function Tit(){return nFt(),Ast(Zx(zie,1),OWt,250,0,[Fie,Die,Oie,Lie,Pie,Bie,Nie,Iie,Mie])}function Cit(){Cit=I,Lee=Ast(Zx(LNe,1),hXt,25,15,[0,8,4,12,2,10,6,14,1,9,5,13,3,11,7,15])}function Sit(){Sit=I,xme=pH(pH(pH(new 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tY(t,1,0,n,t.b))}function $it(t,e){var n;n=t.c,t.c=e,0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new tY(t,1,1,n,t.c))}function jit(t,e){var n;n=t.c,t.c=e,0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new tY(t,1,1,n,t.c))}function zit(t,e){var n;n=t.c,t.c=e,0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new tY(t,1,4,n,t.c))}function qit(t,e){var n;n=t.d,t.d=e,0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new tY(t,1,1,n,t.d))}function Hit(t,e){var n;n=t.D,t.D=e,0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new tY(t,1,2,n,t.D))}function Zit(t,e){t.r>0&&t.c<t.r&&(t.c+=e,t.i&&t.i.d>0&&0!=t.g&&Zit(t.i,e/t.r*t.i.d))}function Uit(t,e,n){var i;t.b=e,t.a=n,i=512==(512&t.a)?new jm:new Bl,t.c=CBt(i,t.b,t.a)}function Yit(t,e){return OPt(t.e,e)?(JT(),ltt(e)?new fH(e,t):new PM(e,t)):new RM(e,t)}function Git(t,e){return Qk(tat(t.a,e,pZ(odt(SWt,rW(pZ(odt(null==e?0:eut(e),AWt)),15)))))}function Kit(t,e,n){return P9(t,new hg(e),new ot,new fg(n),Ast(Zx(tie,1),OWt,132,0,[]))}function Wit(t){return 0>t?new WE:new DB(null,new m5(t+1,t))}function Xit(t,e){var n;return 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i,r,a;for(a=t.a.length-1,r=t.b,i=0;i<n;r=r+1&a,++i)DG(e,i,t.a[r])}function urt(t,e){var n;return xK(e),n=e.g,!t.b[n]&&(DG(t.b,n,e),++t.c,!0)}function lrt(t,e){var n;return!((n=null==e?-1:_9(t.b,e,0))<0||(hrt(t,n),0))}function hrt(t,e){var n;n=u6(t.b,t.b.c.length-1),e<t.b.c.length&&(a5(t.b,e,n),$At(t,e))}function frt(t,e){0==(x5(),Xne?null:e.c).length&&UB(e,new G),mJ(t.a,Xne?null:e.c,e)}function drt(t,e){LEt(e,"Hierarchical port constraint processing",1),gwt(t),QGt(t),HCt(e)}function grt(t,e){var n,i;for(i=e.Kc();i.Ob();)n=zz(i.Pb(),266),t.b=!0,EY(t.e,n),n.b=t}function prt(t,e){var n,i;return n=1-e,i=t.a[n],t.a[n]=i.a[e],i.a[e]=t,t.b=!0,i.b=!1,i}function brt(t,e){var n,i;return n=zz(vTt(t,(HGt(),uwe)),8),i=zz(vTt(e,uwe),8),Aft(n.b,i.b)}function wrt(t){FZ.call(this),this.b=Zv(TB(vTt(t,(HGt(),vwe)))),this.a=zz(vTt(t,Jpe),218)}function yrt(t,e,n){Z2.call(this,t,e,n),this.a=new Pw,this.b=new Pw,this.d=new Kp(this)}function mrt(t){this.e=t,this.d=new 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Kd(t.b);i.a<i.c.c.length;)(e=(n=zz(t0(i),214)).c.Rf()?n.f:n.a)&&pHt(e,n.j)}function cht(){cht=I,yAe=new qA("INHERIT",0),wAe=new qA("INCLUDE_CHILDREN",1),mAe=new qA("SEPARATE_CHILDREN",2)}function uht(t,e){switch(e){case 1:return!t.n&&(t.n=new nY(UIe,t,1,7)),void lHt(t.n);case 2:return void Oit(t,null)}Yst(t,e)}function lht(t){switch(t.gc()){case 0:return zte;case 1:return new SH(vG(t.Xb(0)));default:return new CV(t)}}function hht(t){switch(u$(),t.gc()){case 0:return WG(),Xte;case 1:return new vx(t.Kc().Pb());default:return new yC(t)}}function fht(t){switch(u$(),t.c){case 0:return WG(),Xte;case 1:return new vx(JAt(new XE(t)));default:return new uv(t)}}function dht(t,e){vG(t);try{return t.xc(e)}catch(t){if(aO(t=dst(t),205)||aO(t,173))return null;throw qw(t)}}function ght(t,e){vG(t);try{return t.Bc(e)}catch(t){if(aO(t=dst(t),205)||aO(t,173))return null;throw qw(t)}}function pht(t,e){vG(t);try{return t.Hc(e)}catch(t){if(aO(t=dst(t),205)||aO(t,173))return!1;throw qw(t)}}function bht(t,e){vG(t);try{return t.Mc(e)}catch(t){if(aO(t=dst(t),205)||aO(t,173))return!1;throw qw(t)}}function wht(t,e){vG(t);try{return t._b(e)}catch(t){if(aO(t=dst(t),205)||aO(t,173))return!1;throw qw(t)}}function yht(t,e){t.a.c.length>0&&but(zz(PH(t.a,t.a.c.length-1),570),e)||Kz(t.a,new w5(e))}function mht(t){var e,n;Z$(),e=t.d.c-t.e.c,Let((n=zz(t.g,145)).b,new kp(e)),Let(n.c,new _p(e)),n5(n.i,new Ep(e))}function vht(t){var e;return(e=new Ax).a+="VerticalSegment ",sI(e,t.e),e.a+=" ",cI(e,QO(new mx,new Kd(t.k))),e.a}function xht(t){var e;return(e=zz(ftt(t.c.c,""),229))||(e=new YJ(kk(xk(new ys,""),"Other")),Jbt(t.c.c,"",e)),e}function kht(t){var e;return 0!=(64&t.Db)?ADt(t):((e=new hN(ADt(t))).a+=" (name: ",aI(e,t.zb),e.a+=")",e.a)}function _ht(t,e,n){var i,r;return r=t.sb,t.sb=e,0!=(4&t.Db)&&0==(1&t.Db)&&(i=new tY(t,1,4,r,e),n?n.Ei(i):n=i),n}function Eht(t,e){var n,i;for(n=0,i=sdt(t,e).Kc();i.Ob();)n+=null!=vTt(zz(i.Pb(),11),(hKt(),_fe))?1:0;return n}function Tht(t,e,n){var i,r,a;for(i=0,a=lwt(t,0);a.b!=a.d.c&&!((r=Zv(TB(d3(a))))>n);)r>=e&&++i;return i}function Cht(t,e,n){var i;return i=new N9(t.e,3,13,null,e.c||(wKt(),fDe),cyt(t,e),!1),n?n.Ei(i):n=i,n}function Sht(t,e,n){var i;return i=new N9(t.e,4,13,e.c||(wKt(),fDe),null,cyt(t,e),!1),n?n.Ei(i):n=i,n}function Aht(t,e,n){var i,r;return r=t.r,t.r=e,0!=(4&t.Db)&&0==(1&t.Db)&&(i=new tY(t,1,8,r,t.r),n?n.Ei(i):n=i),n}function Mht(t,e){var n,i;return!(i=(n=zz(e,676)).vk())&&n.wk(i=aO(e,88)?new DM(t,zz(e,26)):new $0(t,zz(e,148))),i}function Iht(t,e,n){var i;t.qi(t.i+1),i=t.oi(e,n),e!=t.i&&sqt(t.g,e,t.g,e+1,t.i-e),DG(t.g,e,i),++t.i,t.bi(e,n),t.ci()}function Lht(t,e){var n;return e.a&&(n=e.a.a.length,t.a?cI(t.a,t.b):t.a=new fN(t.d),Z0(t.a,e.a,e.d.length,n)),t}function Dht(t,e){var n,i,r;if(e.vi(t.a),null!=(r=zz(xot(t.a,8),1936)))for(n=0,i=r.length;n<i;++n)null.jm()}function Oht(t,e){var n;return n=new ct,t.a.sd(n)?(AO(),new yv(xK(E9(t,n.a,e)))):(_K(t),AO(),AO(),Cne)}function Nht(t,e){switch(e.g){case 2:case 1:return sdt(t,e);case 3:case 4:return iot(sdt(t,e))}return CX(),CX(),lne}function Pht(t,e){return GM(t)?mR(t,e):YM(t)?yR(t,e):UM(t)?(xK(t),ZM(t)===ZM(e)):iU(t)?t.Fb(e):LZ(t)?jI(t,e):y0(t,e)}function Bht(t){return t?0!=(1&t.i)?t==DNe?kee:t==LNe?Dee:t==BNe?Mee:t==PNe?Aee:t==ONe?Ree:t==FNe?jee:t==NNe?Tee:See:t:null}function Fht(t,e,n,i,r){0!=e&&0!=i&&(1==e?r[i]=byt(r,n,i,t[0]):1==i?r[e]=byt(r,t,e,n[0]):QIt(t,n,r,e,i))}function Rht(t,e){var n;0!=t.c.length&&(lL(n=zz(Vbt(t,P7(Ise,s1t,10,t.c.length,0,1)),193),new In),iIt(n,e))}function $ht(t,e){var n;0!=t.c.length&&(lL(n=zz(Vbt(t,P7(Ise,s1t,10,t.c.length,0,1)),193),new Ln),iIt(n,e))}function jht(t,e,n,i){switch(e){case 1:return!t.n&&(t.n=new nY(UIe,t,1,7)),t.n;case 2:return t.k}return Evt(t,e,n,i)}function zht(){zht=I,zSe=new RA(hQt,0),jSe=new RA(sQt,1),$Se=new RA(oQt,2),RSe=new RA(yQt,3),qSe=new RA("UP",4)}function qht(){qht=I,gse=new VC(VJt,0),dse=new VC("INSIDE_PORT_SIDE_GROUPS",1),fse=new VC("FORCE_MODEL_ORDER",2)}function Hht(t,e,n){if(t<0||e>n)throw qw(new Lv(vVt+t+kVt+e+", size: "+n));if(t>e)throw qw(new $v(vVt+t+xVt+e))}function Zht(t,e,n){if(e<0)oMt(t,n);else{if(!n.Ij())throw qw(new $v(a6t+n.ne()+o6t));zz(n,66).Nj().Vj(t,t.yh(),e)}}function Uht(t,e,n,i,r,a,o,s){var c;for(c=n;a<o;)c>=i||e<n&&s.ue(t[e],t[c])<=0?DG(r,a++,t[e++]):DG(r,a++,t[c++])}function Yht(t,e,n,i,r,a){this.e=new Nw,this.f=(sit(),Zye),Kz(this.e,t),this.d=e,this.a=n,this.b=i,this.f=r,this.c=a}function Ght(t,e){var n,i;for(i=new LO(t);i.e!=i.i.gc();)if(n=zz(kwt(i),26),ZM(e)===ZM(n))return!0;return!1}function Kht(t){var e,n,i,r;for(bKt(),i=0,r=(n=nwt()).length;i<r;++i)if(-1!=_9((e=n[i]).a,t,0))return e;return Mre}function Wht(t){return t>=65&&t<=70?t-65+10:t>=97&&t<=102?t-97+10:t>=48&&t<=57?t-48:0}function Xht(t){var e;return 0!=(64&t.Db)?ADt(t):((e=new hN(ADt(t))).a+=" (source: ",aI(e,t.d),e.a+=")",e.a)}function Vht(t,e,n){var i,r;return r=t.a,t.a=e,0!=(4&t.Db)&&0==(1&t.Db)&&(i=new tY(t,1,5,r,t.a),n?$_t(n,i):n=i),n}function Qht(t,e){var n;n=0!=(256&t.Bb),e?t.Bb|=256:t.Bb&=-257,0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new e6(t,1,2,n,e))}function Jht(t,e){var n;n=0!=(256&t.Bb),e?t.Bb|=256:t.Bb&=-257,0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new e6(t,1,8,n,e))}function tft(t,e){var n;n=0!=(256&t.Bb),e?t.Bb|=256:t.Bb&=-257,0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new e6(t,1,8,n,e))}function eft(t,e){var n;n=0!=(512&t.Bb),e?t.Bb|=512:t.Bb&=-513,0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new e6(t,1,3,n,e))}function nft(t,e){var n;n=0!=(512&t.Bb),e?t.Bb|=512:t.Bb&=-513,0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new e6(t,1,9,n,e))}function ift(t,e){var n;return-1==t.b&&t.a&&(n=t.a.Gj(),t.b=n?t.c.Xg(t.a.aj(),n):Dgt(t.c.Tg(),t.a)),t.c.Og(t.b,e)}function rft(t){var e,n;return t>-129&&t<128?(e=t+128,!(n=(eH(),Iee)[e])&&(n=Iee[e]=new Pd(t)),n):new Pd(t)}function aft(t){var e,n;return t>-129&&t<128?(e=t+128,!(n=(EH(),$ee)[e])&&(n=$ee[e]=new Fd(t)),n):new Fd(t)}function oft(t){var e;return t.k==(cCt(),Tse)&&((e=zz(vTt(t,(hKt(),Xhe)),61))==(kYt(),uMe)||e==CMe)}function sft(t,e,n){var i,r;return(r=ODt(t.b,e))&&(i=zz(Pqt(j9(t,r),""),26))?vDt(t,i,e,n):null}function cft(t,e,n){var i,r;return(r=ODt(t.b,e))&&(i=zz(Pqt(j9(t,r),""),26))?xDt(t,i,e,n):null}function uft(t,e){var n,i;for(i=new LO(t);i.e!=i.i.gc();)if(n=zz(kwt(i),138),ZM(e)===ZM(n))return!0;return!1}function lft(t,e,n){var i;if(e>(i=t.gc()))throw qw(new eR(e,i));if(t.hi()&&t.Hc(n))throw qw(new $v(s7t));t.Xh(e,n)}function hft(t,e){var n;if(null==(n=lnt(t.i,e)))throw qw(new nx("Node did not exist in input."));return $at(e,n),null}function fft(t,e){var n;if(aO(n=PNt(t,e),322))return zz(n,34);throw qw(new $v(a6t+e+"' is not a valid attribute"))}function dft(t,e,n){var i,r;for(r=aO(e,99)&&0!=(zz(e,18).Bb&qXt)?new PI(e,t):new Dot(e,t),i=0;i<n;++i)oyt(r);return r}function gft(t){var e,n,i;for(i=0,n=t.length,e=0;e<n;e++)32==t[e]||13==t[e]||10==t[e]||9==t[e]||(t[i++]=t[e]);return i}function pft(t){var e,n,i;for(e=new Nw,i=new Kd(t.b);i.a<i.c.c.length;)n=zz(t0(i),594),wst(e,zz(n.jf(),14));return e}function bft(t){var e,n;for(n=zz(vTt(t,(ZHt(),fxe)),15).Kc();n.Ob();)Bq((e=zz(n.Pb(),188)).b.d,e),Bq(e.c.b,e)}function wft(t){switch(zz(vTt(t,(hKt(),ife)),303).g){case 1:hct(t,ife,(U9(),Che));break;case 2:hct(t,ife,(U9(),Ahe))}}function yft(t){var e;t.g&&(BPt((e=t.c.Rf()?t.f:t.a).a,t.o,!0),BPt(e.a,t.o,!1),hct(t.o,(HGt(),nwe),(V_t(),YAe)))}function mft(t){var e;if(!t.a)throw qw(new jv("Cannot offset an unassigned cut."));e=t.c-t.b,t.b+=e,PX(t,e),NX(t,e)}function vft(t){var e;return null==(e=t.a[t.c-1&t.a.length-1])?null:(t.c=t.c-1&t.a.length-1,DG(t.a,t.c,null),e)}function xft(t){var e,n;for(n=t.p.a.ec().Kc();n.Ob();)if((e=zz(n.Pb(),213)).f&&t.b[e.c]<-1e-10)return e;return null}function kft(t,e){switch(t.b.g){case 0:case 1:return e;case 2:case 3:return new YW(e.d,0,e.a,e.b);default:return null}}function _ft(t){switch(t.g){case 2:return jSe;case 1:return $Se;case 4:return RSe;case 3:return qSe;default:return zSe}}function Eft(t){switch(t.g){case 1:return AMe;case 2:return uMe;case 3:return cMe;case 4:return CMe;default:return SMe}}function Tft(t){switch(t.g){case 1:return CMe;case 2:return AMe;case 3:return uMe;case 4:return cMe;default:return SMe}}function Cft(t){switch(t.g){case 1:return cMe;case 2:return CMe;case 3:return AMe;case 4:return uMe;default:return SMe}}function Sft(t){switch(t){case 0:return new mm;case 1:return new wm;case 2:return new ym;default:throw qw(new gy)}}function Aft(t,e){return t<e?-1:t>e?1:t==e?0==t?Aft(1/t,1/e):0:isNaN(t)?isNaN(e)?0:1:-1}function Mft(t,e){LEt(e,"Sort end labels",1),QE(LW(gtt(new FH(null,new g1(t.b,16)),new gn),new pn),new bn),HCt(e)}function Ift(t,e,n){var i,r;return t.ej()?(r=t.fj(),i=QMt(t,e,n),t.$i(t.Zi(7,rft(n),i,e,r)),i):QMt(t,e,n)}function Lft(t,e){var n,i,r;null==t.d?(++t.e,--t.f):(r=e.cd(),N6(t,i=((n=e.Sh())&FKt)%t.d.length,DDt(t,i,n,r)))}function Dft(t,e){var n;n=0!=(t.Bb&k6t),e?t.Bb|=k6t:t.Bb&=-1025,0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new e6(t,1,10,n,e))}function Oft(t,e){var n;n=0!=(t.Bb&jXt),e?t.Bb|=jXt:t.Bb&=-4097,0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new e6(t,1,12,n,e))}function Nft(t,e){var n;n=0!=(t.Bb&T8t),e?t.Bb|=T8t:t.Bb&=-8193,0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new e6(t,1,15,n,e))}function Pft(t,e){var n;n=0!=(t.Bb&C8t),e?t.Bb|=C8t:t.Bb&=-2049,0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new e6(t,1,11,n,e))}function Bft(t,e){var n;return 0!=(n=Aft(t.b.c,e.b.c))||0!=(n=Aft(t.a.a,e.a.a))?n:Aft(t.a.b,e.a.b)}function Fft(t,e){var n;if(null==(n=FG(t.k,e)))throw qw(new nx("Port did not exist in input."));return $at(e,n),null}function Rft(t){var e,n;for(n=UDt(Get(t)).Kc();n.Ob();)if(P$t(t,e=CB(n.Pb())))return v4((YT(),FLe),e);return null}function $ft(t,e){var n,i,r,a,o;for(o=sPt(t.e.Tg(),e),a=0,n=zz(t.g,119),r=0;r<t.i;++r)i=n[r],o.rl(i.ak())&&++a;return a}function jft(t,e,n){var i,r;return i=zz(e.We(t.a),35),r=zz(n.We(t.a),35),null!=i&&null!=r?Pat(i,r):null!=i?-1:null!=r?1:0}function zft(t,e,n){var i;if(t.c)dTt(t.c,e,n);else for(i=new Kd(t.b);i.a<i.c.c.length;)zft(zz(t0(i),157),e,n)}function qft(t,e){var n,i;for(i=new Kd(e);i.a<i.c.c.length;)n=zz(t0(i),46),v9(t.b.b,n.b),sV(zz(n.a,189),zz(n.b,81))}function Hft(t){var e,n;for(n=PG(new Ax,91),e=!0;t.Ob();)e||(n.a+=zKt),e=!1,sI(n,t.Pb());return(n.a+="]",n).a}function Zft(t,e){var n;n=0!=(t.Bb&hWt),e?t.Bb|=hWt:t.Bb&=-16385,0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new e6(t,1,16,n,e))}function Uft(t,e){var n;n=0!=(t.Bb&h6t),e?t.Bb|=h6t:t.Bb&=-32769,0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new e6(t,1,18,n,e))}function Yft(t,e){var n;n=0!=(t.Bb&h6t),e?t.Bb|=h6t:t.Bb&=-32769,0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new e6(t,1,18,n,e))}function Gft(t,e){var n;n=0!=(t.Bb&qXt),e?t.Bb|=qXt:t.Bb&=-65537,0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new e6(t,1,20,n,e))}function Kft(t){var e;return e=P7(INe,WWt,25,2,15,1),t-=qXt,e[0]=(t>>10)+HXt&VWt,e[1]=56320+(1023&t)&VWt,qpt(e,0,e.length)}function Wft(t){var e;return(e=zz(vTt(t,(HGt(),Ype)),103))==(zht(),zSe)?Zv(TB(vTt(t,_pe)))>=1?jSe:RSe:e}function Xft(t){switch(zz(vTt(t,(HGt(),Jpe)),218).g){case 1:return new ia;case 3:return new ca;default:return new na}}function Vft(t){if(t.c)Vft(t.c);else if(t.d)throw qw(new jv("Stream already terminated, can't be modified or used"))}function Qft(t){var e;return 0!=(64&t.Db)?ADt(t):((e=new hN(ADt(t))).a+=" (identifier: ",aI(e,t.k),e.a+=")",e.a)}function Jft(t,e,n){var i;return e_(),_nt(i=new ac,e),Ent(i,n),t&&h8((!t.a&&(t.a=new DO(PIe,t,5)),t.a),i),i}function tdt(t,e,n,i){var r,a;return xK(i),xK(n),null==(a=null==(r=t.xc(e))?n:JE(zz(r,15),zz(n,14)))?t.Bc(e):t.zc(e,a),a}function edt(t){var e,n,i,r;return urt(n=new VR(e=zz(Wk((r=(i=t.gm).f)==Gte?i:r),9),zz(CF(e,e.length),9),0),t),n}function ndt(t,e,n){var i,r;for(r=t.a.ec().Kc();r.Ob();)if(i=zz(r.Pb(),10),ust(n,zz(PH(e,i.p),14)))return i;return null}function idt(t,e,n){try{jct(t,e,n)}catch(t){throw aO(t=dst(t),597)?qw(new b5(t)):qw(t)}return e}function rdt(t,e){var n;return 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e,n;for(e=new Nw,n=new Kd(t.j);n.a<n.c.c.length;)Kz(e,zz(t0(n),11).g);return vG(e),new II(e)}function gdt(t){var e,n;for(n=nDt(Get(pJ(t))).Kc();n.Ob();)if(P$t(t,e=CB(n.Pb())))return x4((GT(),YLe),e);return null}function pdt(t){var e,n;for(e=0,n=t.length;e<n;e++)if(null==t[e])throw qw(new qv("at index "+e));return new Qv(t)}function bdt(t,e){var n;if(aO(n=PNt(t.Tg(),e),99))return zz(n,18);throw qw(new $v(a6t+e+"' is not a valid reference"))}function wdt(t){var e;return(e=gCt(t))>34028234663852886e22?RXt:e<-34028234663852886e22?$Xt:e}function ydt(t){return t=((t=((t-=t>>1&1431655765)>>2&858993459)+(858993459&t))>>4)+t&252645135,t+=t>>8,63&(t+=t>>16)}function mdt(t){var e,n,i;for(e=new lF(t.Hd().gc()),i=0,n=O8(t.Hd().Kc());n.Ob();)kJ(e,n.Pb(),rft(i++));return PCt(e.a)}function vdt(t,e){var n,i,r;for(r=new Pw,i=e.vc().Kc();i.Ob();)WK(r,(n=zz(i.Pb(),42)).cd(),dot(t,zz(n.dd(),15)));return r}function xdt(t,e){0==t.n.c.length&&Kz(t.n,new 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bA("GRAPH_SIZE_CALCULATION",2)}function Idt(t,e){return lD(),ait($Wt),n.Math.abs(t-e)<=$Wt||t==e||isNaN(t)&&isNaN(e)?0:t<e?-1:t>e?1:UI(isNaN(t),isNaN(e))}function Ldt(t,e){var n,i;for(n=lwt(t,0);n.b!=n.d.c;){if((i=Uv(TB(d3(n))))==e)return;if(i>e){Y0(n);break}}tG(n,e)}function Ddt(t,e){var n,i,r,a,o;if(n=e.f,Jbt(t.c.d,n,e),null!=e.g)for(a=0,o=(r=e.g).length;a<o;++a)i=r[a],Jbt(t.c.e,i,e)}function Odt(t,e,n,i){var r,a,o;for(r=e+1;r<n;++r)for(a=r;a>e&&i.ue(t[a-1],t[a])>0;--a)o=t[a],DG(t,a,t[a-1]),DG(t,a-1,o)}function Ndt(t,e,n,i){if(e<0)TOt(t,n,i);else{if(!n.Ij())throw qw(new $v(a6t+n.ne()+o6t));zz(n,66).Nj().Tj(t,t.yh(),e,i)}}function Pdt(t,e){if(e==t.d)return t.e;if(e==t.e)return t.d;throw qw(new $v("Node "+e+" not part of edge "+t))}function Bdt(t,e){switch(e.g){case 2:return t.b;case 1:return t.c;case 4:return t.d;case 3:return t.a;default:return!1}}function Fdt(t,e){switch(e.g){case 2:return t.b;case 1:return t.c;case 4:return t.d;case 3:return t.a;default:return!1}}function Rdt(t,e,n,i){switch(e){case 3:return t.f;case 4:return t.g;case 5:return t.i;case 6:return t.j}return jht(t,e,n,i)}function $dt(t){return t.k==(cCt(),Ase)&&c5(new FH(null,new UY(new cU(JO(ddt(t).a.Kc(),new l)))),new Hr)}function jdt(t){return null==t.e?t:(!t.c&&(t.c=new aFt(0!=(256&t.f),t.i,t.a,t.d,0!=(16&t.f),t.j,t.g,null)),t.c)}function zdt(t,e){return t.h==MXt&&0==t.m&&0==t.l?(e&&(dee=TD(0,0,0)),KI((G9(),bee))):(e&&(dee=TD(t.l,t.m,t.h)),TD(0,0,0))}function qdt(t){return Array.isArray(t)&&t.im===M?t_(nut(t))+"@"+(eut(t)>>>0).toString(16):t.toString()}function Hdt(t){var e;this.a=new VR(e=zz(t.e&&t.e(),9),zz(CF(e,e.length),9),0),this.b=P7(Dte,HKt,1,this.a.a.length,5,1)}function Zdt(t){var e,n,i;for(this.a=new hL,i=new Kd(t);i.a<i.c.c.length;)n=zz(t0(i),14),grt(e=new lZ,n),EY(this.a,e)}function Udt(t){var e,n;for(HB(),e=t.o.b,n=zz(zz(l6(t.r,(kYt(),CMe)),21),84).Kc();n.Ob();)zz(n.Pb(),111).e.b+=e}function Ydt(t){var e;if(t.b){if(Ydt(t.b),t.b.d!=t.c)throw qw(new yy)}else t.d.dc()&&(e=zz(t.f.c.xc(t.e),14))&&(t.d=e)}function Gdt(t){var e;return null==t||(e=t.length)>0&&(d1(e-1,t.length),58==t.charCodeAt(e-1))&&!Kdt(t,OLe,NLe)}function Kdt(t,e,n){var i,r;for(i=0,r=t.length;i<r;i++)if(nct((d1(i,t.length),t.charCodeAt(i)),e,n))return!0;return!1}function Wdt(t,e){var n,i;for(i=t.e.a.ec().Kc();i.Ob();)if(nCt(e,(n=zz(i.Pb(),266)).d)||IAt(e,n.d))return!0;return!1}function Xdt(t,e){var n,i,r;for(r=(i=HFt(t,e))[i.length-1]/2,n=0;n<i.length;n++)if(i[n]>=r)return e.c+n;return e.c+e.b.gc()}function Vdt(t,e){var n,i,r,a;for(pB(),r=e,U8(i=q8(t),0,i.length,r),n=0;n<i.length;n++)n!=(a=wxt(t,i[n],n))&&Ift(t,n,a)}function Qdt(t,e){var n,i,r,a,o,s;for(i=0,n=0,o=0,s=(a=e).length;o<s;++o)(r=a[o])>0&&(i+=r,++n);return n>1&&(i+=t.d*(n-1)),i}function Jdt(t){var e,n,i;for((i=new Cx).a+="[",e=0,n=t.gc();e<n;)aI(i,xN(t.ki(e))),++e<n&&(i.a+=zKt);return i.a+="]",i.a}function tgt(t){var e,n,i;return i=DEt(t),!K_(t.c)&&(ret(i,"knownLayouters",n=new Af),e=new rw(n),n5(t.c,e)),i}function egt(t,e){var n,i;for(xK(e),n=!1,i=new Kd(t);i.a<i.c.c.length;)xgt(e,t0(i),!1)&&(LY(i),n=!0);return n}function ngt(t){var e,n;for(n=Zv(TB(t.a.We((lKt(),ISe)))),e=new Kd(t.a.xf());e.a<e.c.c.length;)XYt(t,zz(t0(e),680),n)}function igt(t,e){var n,i;for(i=new Kd(e);i.a<i.c.c.length;)n=zz(t0(i),46),Kz(t.b.b,zz(n.b,81)),b2(zz(n.a,189),zz(n.b,81))}function rgt(t,e,n){var i,r;for(i=(r=t.a.b).c.length;i<n;i++)xZ(r,0,new qG(t.a));SJ(e,zz(PH(r,r.c.length-n),29)),t.b[e.p]=n}function agt(t,e,n){var i;!(i=n)&&(i=Oq(new Gm,0)),LEt(i,ZJt,2),vyt(t.b,e,vat(i,1)),$Ht(t,e,vat(i,1)),ZYt(e,vat(i,1)),HCt(i)}function ogt(t,e,n,i,r){zJ(),GNt(oT(aT(rT(sT(new qy,0),r.d.e-t),e),r.d)),GNt(oT(aT(rT(sT(new qy,0),n-r.a.e),r.a),i))}function sgt(t,e,n,i,r,a){this.a=t,this.c=e,this.b=n,this.f=i,this.d=r,this.e=a,this.c>0&&this.b>0&&VH(this.c,this.b,this.a)}function cgt(t){Rgt(),this.c=s6(Ast(Zx(rTe,1),HKt,831,0,[Kwe])),this.b=new Pw,this.a=t,WK(this.b,Wwe,1),Let(Xwe,new Sb(this))}function ugt(t,e){var n;return t.d?lY(t.b,e)?zz(FG(t.b,e),51):(n=e.Kf(),WK(t.b,e,n),n):e.Kf()}function lgt(t,e){var n;return ZM(t)===ZM(e)||!!aO(e,91)&&(n=zz(e,91),t.e==n.e&&t.d==n.d&&_4(t,n.a))}function hgt(t){switch(kYt(),t.g){case 4:return uMe;case 1:return cMe;case 3:return CMe;case 2:return AMe;default:return SMe}}function fgt(t,e){switch(e){case 3:return 0!=t.f;case 4:return 0!=t.g;case 5:return 0!=t.i;case 6:return 0!=t.j}return Eot(t,e)}function dgt(t){switch(t.g){case 0:return new Uo;case 1:return new Yo;default:throw qw(new $v(o4t+(null!=t.f?t.f:""+t.g)))}}function ggt(t){switch(t.g){case 0:return new Zo;case 1:return new Go;default:throw qw(new $v(C1t+(null!=t.f?t.f:""+t.g)))}}function pgt(t){switch(t.g){case 0:return new Wm;case 1:return new vm;default:throw qw(new $v(P4t+(null!=t.f?t.f:""+t.g)))}}function bgt(t){switch(t.g){case 1:return new Ro;case 2:return new bB;default:throw qw(new $v(o4t+(null!=t.f?t.f:""+t.g)))}}function wgt(t){var e,n;if(t.b)return t.b;for(n=Xne?null:t.d;n;){if(e=Xne?null:n.b)return e;n=Xne?null:n.d}return fT(),qne}function ygt(t){var e,n;return 0==t.e?0:(e=t.d<<5,n=t.a[t.d-1],t.e<0&&Mat(t)==t.d-1&&(--n,n|=0),e-=tIt(n))}function mgt(t){var e,n,i;return t<nne.length?nne[t]:(e=31&t,(i=P7(LNe,hXt,25,1+(n=t>>5),15,1))[n]=1<<e,new fY(1,n+1,i))}function vgt(t){var e,n,i;return(n=t.zg())?aO(e=t.Ug(),160)&&null!=(i=vgt(zz(e,160)))?i+"."+n:n:null}function xgt(t,e,n){var i,r;for(r=t.Kc();r.Ob();)if(i=r.Pb(),ZM(e)===ZM(i)||null!=e&&Pht(e,i))return n&&r.Qb(),!0;return!1}function kgt(t,e,n){var i,r;if(++t.j,n.dc())return!1;for(r=n.Kc();r.Ob();)i=r.Pb(),t.Hi(e,t.oi(e,i)),++e;return!0}function _gt(t,e,n,i){var r,a;if((a=n-e)<3)for(;a<3;)t*=10,++a;else{for(r=1;a>3;)r*=10,--a;t=(t+(r>>1))/r|0}return i.i=t,!0}function Egt(t){return Slt(),lN(),!!(Fdt(zz(t.a,81).j,zz(t.b,103))||0!=zz(t.a,81).d.e&&Fdt(zz(t.a,81).j,zz(t.b,103)))}function Tgt(t){P8(),zz(t.We((lKt(),HCe)),174).Hc((e$t(),WMe))&&(zz(t.We(hSe),174).Fc((dMt(),aMe)),zz(t.We(HCe),174).Mc(WMe))}function Cgt(t,e){var n;if(e){for(n=0;n<t.i;++n)if(zz(t.g[n],366).Di(e))return!1;return h8(t,e)}return!1}function Sgt(t){var e,n,i;for(e=new Af,i=new Hd(t.b.Kc());i.b.Ob();)n=XCt(zz(i.b.Pb(),686)),KY(e,e.a.length,n);return e.a}function Agt(t){var e;return!t.c&&(t.c=new Ot),mD(t.d,new Pt),QRt(t),e=dBt(t),QE(new FH(null,new g1(t.d,16)),new Mg(t)),e}function Mgt(t){var e;return 0!=(64&t.Db)?kht(t):((e=new hN(kht(t))).a+=" (instanceClassName: ",aI(e,t.D),e.a+=")",e.a)}function Igt(t,e){var n,i;e&&(n=Rnt(e,"x"),Tnt(new Jb(t).a,(xK(n),n)),i=Rnt(e,"y"),Lnt(new tw(t).a,(xK(i),i)))}function Lgt(t,e){var n,i;e&&(n=Rnt(e,"x"),Int(new Wb(t).a,(xK(n),n)),i=Rnt(e,"y"),Dnt(new Vb(t).a,(xK(i),i)))}function Dgt(t,e){var n,i,r;if(null==t.i&&Zjt(t),n=t.i,-1!=(i=e.aj()))for(r=n.length;i<r;++i)if(n[i]==e)return i;return-1}function Ogt(t){var e,n,i,r;for(n=zz(t.g,674),i=t.i-1;i>=0;--i)for(e=n[i],r=0;r<i;++r)if(mjt(t,e,n[r])){Nvt(t,i);break}}function Ngt(t){var e=t.e;function n(t){return t&&0!=t.length?"\t"+t.join("\n\t"):""}return e&&(e.stack||n(t[GWt]))}function Pgt(t){var e;switch(KG(),(e=t.Pc()).length){case 0:return zte;case 1:return new SH(vG(e[0]));default:return new CV(pdt(e))}}function Bgt(t,e){switch(e.g){case 1:return Rz(t.j,(wat(),Nse));case 2:return Rz(t.j,(wat(),Bse));default:return CX(),CX(),lne}}function Fgt(t,e){switch(e){case 3:return void Cnt(t,0);case 4:return void Snt(t,0);case 5:return void Ant(t,0);case 6:return void Mnt(t,0)}uht(t,e)}function Rgt(){Rgt=I,LT(),HGt(),Wwe=Iwe,Xwe=s6(Ast(Zx(fTe,1),k3t,146,0,[mwe,vwe,kwe,_we,Cwe,Swe,Awe,Mwe,Dwe,Nwe,xwe,Ewe,Lwe]))}function $gt(t){var e,n;e=t.d==(OSt(),Que),n=O_t(t),hct(t.a,(HGt(),xpe),e&&!n||!e&&n?(pyt(),DTe):(pyt(),LTe))}function jgt(t,e){var n;return(n=zz(S4(t,m8(new q,new z,new it,Ast(Zx(tie,1),OWt,132,0,[(Zut(),Yne)]))),15)).Qc(fq(n.gc()))}function 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Wgt(t){var e;return null==t?null:new DL((e=zzt(t,!0)).length>0&&(d1(0,e.length),43==e.charCodeAt(0))?e.substr(1):e)}function Xgt(t){var e;return null==t?null:new DL((e=zzt(t,!0)).length>0&&(d1(0,e.length),43==e.charCodeAt(0))?e.substr(1):e)}function Vgt(t,e){return t.i>0&&(e.length<t.i&&(e=Fnt(nut(e).c,t.i)),sqt(t.g,0,e,0,t.i)),e.length>t.i&&DG(e,t.i,null),e}function Qgt(t,e,n){var i,r,a;return t.ej()?(i=t.i,a=t.fj(),Iht(t,i,e),r=t.Zi(3,null,e,i,a),n?n.Ei(r):n=r):Iht(t,t.i,e),n}function Jgt(t,e,n){var i,r;return i=new N9(t.e,4,10,aO(r=e.c,88)?zz(r,26):(wKt(),pDe),null,cyt(t,e),!1),n?n.Ei(i):n=i,n}function tpt(t,e,n){var i,r;return i=new N9(t.e,3,10,null,aO(r=e.c,88)?zz(r,26):(wKt(),pDe),cyt(t,e),!1),n?n.Ei(i):n=i,n}function ept(t){var e;return HB(),e=new gL(zz(t.e.We((lKt(),zCe)),8)),t.B.Hc((e$t(),ZMe))&&(e.a<=0&&(e.a=20),e.b<=0&&(e.b=20)),e}function npt(t){return gyt(),(t.q?t.q:(CX(),CX(),hne))._b((HGt(),Fbe))?zz(vTt(t,Fbe),197):zz(vTt(yK(t),Rbe),197)}function ipt(t,e){var n,i;return i=null,OP(t,(HGt(),Twe))&&(n=zz(vTt(t,Twe),94)).Xe(e)&&(i=n.We(e)),null==i&&(i=vTt(yK(t),e)),i}function rpt(t,e){var n,i,r;return!!aO(e,42)&&(i=(n=zz(e,42)).cd(),gK(r=dht(t.Rc(),i),n.dd())&&(null!=r||t.Rc()._b(i)))}function apt(t,e){var n;return t.f>0&&(t.qj(),-1!=DDt(t,((n=null==e?0:eut(e))&FKt)%t.d.length,n,e))}function opt(t,e){var n,i;return t.f>0&&(t.qj(),n=sIt(t,((i=null==e?0:eut(e))&FKt)%t.d.length,i,e))?n.dd():null}function spt(t,e){var n,i,r,a;for(a=sPt(t.e.Tg(),e),n=zz(t.g,119),r=0;r<t.i;++r)if(i=n[r],a.rl(i.ak()))return!1;return!0}function cpt(t){if(null==t.b){for(;t.a.Ob();)if(t.b=t.a.Pb(),!zz(t.b,49).Zg())return!0;return t.b=null,!1}return!0}function upt(t,e){t.mj();try{t.d.Vc(t.e++,e),t.f=t.d.j,t.g=-1}catch(t){throw aO(t=dst(t),73)?qw(new yy):qw(t)}}function lpt(t,e){var n,i;return uD(),i=null,e==(n=hF((hx(),hx(),aee)))&&(i=zz(CQ(ree,t),615)),i||(i=new UG(t),e==n&&mJ(ree,t,i)),i}function hpt(t,e){var i,r;t.a=adt(t.a,1),t.c=n.Math.min(t.c,e),t.b=n.Math.max(t.b,e),t.d+=e,i=e-t.f,r=t.e+i,t.f=r-t.e-i,t.e=r}function fpt(t,e){var n;t.c=e,t.a=ygt(e),t.a<54&&(t.f=(n=e.d>1?i0(vU(e.a[1],32),n0(e.a[0],GXt)):n0(e.a[0],GXt),k2(odt(e.e,n))))}function dpt(t,e){var n;return QI(t)&&QI(e)&&OXt<(n=t%e)&&n<LXt?n:cot((DHt(QI(t)?Aot(t):t,QI(e)?Aot(e):e,!0),dee))}function gpt(t,e){var n;FUt(e),(n=zz(vTt(t,(HGt(),Qpe)),276))&&hct(t,Qpe,Dvt(n)),tP(t.c),tP(t.f),W6(t.d),W6(zz(vTt(t,Lbe),207))}function ppt(t){this.e=P7(LNe,hXt,25,t.length,15,1),this.c=P7(DNe,tQt,25,t.length,16,1),this.b=P7(DNe,tQt,25,t.length,16,1),this.f=0}function bpt(t){var e,n;for(t.j=P7(PNe,ZXt,25,t.p.c.length,15,1),n=new Kd(t.p);n.a<n.c.c.length;)e=zz(t0(n),10),t.j[e.p]=e.o.b/t.i}function wpt(t){var e;0!=t.c&&(1==(e=zz(PH(t.a,t.b),287)).b?(++t.b,t.b<t.a.c.length&&Ed(zz(PH(t.a,t.b),287))):--e.b,--t.c)}function ypt(t){var e;e=t.a;do{(e=zz(Y5(new cU(JO(ddt(e).a.Kc(),new 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i,r,a;for(r=null,a=t.b;a;){if(i=t.a.ue(e,a.d),n&&0==i)return a;i>=0?a=a.a[1]:(r=a,a=a.a[0])}return r}function Spt(t,e,n){var i,r,a;for(r=null,a=t.b;a;){if(i=t.a.ue(e,a.d),n&&0==i)return a;i<=0?a=a.a[0]:(r=a,a=a.a[1])}return r}function Apt(t,e,n,i){var r,a,o;return r=!1,NZt(t.f,n,i)&&(Bbt(t.f,t.a[e][n],t.a[e][i]),o=(a=t.a[e])[i],a[i]=a[n],a[n]=o,r=!0),r}function Mpt(t,e,n,i,r){var a,o,s;for(o=r;e.b!=e.c;)a=zz(pY(e),10),s=zz(sdt(a,i).Xb(0),11),t.d[s.p]=o++,n.c[n.c.length]=s;return o}function Ipt(t,e,i){var r,a,o,s,c;return s=t.k,c=e.k,a=TB(ipt(t,r=i[s.g][c.g])),o=TB(ipt(e,r)),n.Math.max((xK(a),a),(xK(o),o))}function Lpt(t,e,n){var i,r,a,o;for(i=n/t.c.length,r=0,o=new Kd(t);o.a<o.c.c.length;)wlt(a=zz(t0(o),200),a.f+i*r),skt(a,e,i),++r}function Dpt(t,e,n){var i,r,a;for(r=zz(FG(t.b,n),177),i=0,a=new Kd(e.j);a.a<a.c.c.length;)r[zz(t0(a),113).d.p]&&++i;return i}function Opt(t){var e,n;return null!=(e=zz(xot(t.a,4),126))?(sqt(e,0,n=P7(pLe,r8t,415,e.length,0,1),0,e.length),n):gLe}function Npt(){var t;return 0!=oee&&(t=f5())-see>2e3&&(see=t,cee=n.setTimeout(X_,10)),0==oee++&&(Itt((ux(),nee)),!0)}function Ppt(t,e){var n;for(n=new cU(JO(ddt(t).a.Kc(),new l));bLt(n);)if(zz(Y5(n),17).d.i.c==e)return!1;return!0}function Bpt(t,e){var n;if(aO(e,245)){n=zz(e,245);try{return 0==t.vd(n)}catch(t){if(!aO(t=dst(t),205))throw qw(t)}}return!1}function Fpt(){return Error.stackTraceLimit>0?(n.Error.stackTraceLimit=Error.stackTraceLimit=64,!0):"stack"in new Error}function Rpt(t,e){return lD(),lD(),ait($Wt),(n.Math.abs(t-e)<=$Wt||t==e||isNaN(t)&&isNaN(e)?0:t<e?-1:t>e?1:UI(isNaN(t),isNaN(e)))>0}function $pt(t,e){return lD(),lD(),ait($Wt),(n.Math.abs(t-e)<=$Wt||t==e||isNaN(t)&&isNaN(e)?0:t<e?-1:t>e?1:UI(isNaN(t),isNaN(e)))<0}function jpt(t,e){return lD(),lD(),ait($Wt),(n.Math.abs(t-e)<=$Wt||t==e||isNaN(t)&&isNaN(e)?0:t<e?-1:t>e?1:UI(isNaN(t),isNaN(e)))<=0}function zpt(t,e){for(var n=0;!e[n]||""==e[n];)n++;for(var i=e[n++];n<e.length;n++)e[n]&&""!=e[n]&&(i+=t+e[n]);return i}function qpt(t,e,i){var r,a,o,s;for($7(e,o=e+i,t.length),s="",a=e;a<o;)r=n.Math.min(a+1e4,o),s+=KK(t.slice(a,r)),a=r;return s}function Hpt(t){var e,n,i,r;if(null==t)return null;for(r=new Nw,n=0,i=(e=xut(t)).length;n<i;++n)Kz(r,zzt(e[n],!0));return r}function Zpt(t){var e,n,i,r;if(null==t)return null;for(r=new Nw,n=0,i=(e=xut(t)).length;n<i;++n)Kz(r,zzt(e[n],!0));return r}function Upt(t){var e,n,i,r;if(null==t)return null;for(r=new Nw,n=0,i=(e=xut(t)).length;n<i;++n)Kz(r,zzt(e[n],!0));return r}function Ypt(t,e){var n,i,r;if(t.c)Snt(t.c,e);else for(n=e-iZ(t),r=new Kd(t.d);r.a<r.c.c.length;)Ypt(i=zz(t0(r),157),iZ(i)+n)}function Gpt(t,e){var n,i,r;if(t.c)Cnt(t.c,e);else for(n=e-nZ(t),r=new Kd(t.a);r.a<r.c.c.length;)Gpt(i=zz(t0(r),157),nZ(i)+n)}function Kpt(t,e){var n,i,r;for(i=new Q6(e.gc()),n=e.Kc();n.Ob();)(r=n$t(t,zz(n.Pb(),56)))&&(i.c[i.c.length]=r);return i}function Wpt(t,e){var n,i;return t.qj(),(n=sIt(t,((i=null==e?0:eut(e))&FKt)%t.d.length,i,e))?(hit(t,n),n.dd()):null}function Xpt(t){var e,n;for(n=cSt(t),e=null;2==t.c;)VGt(t),e||(pKt(),pKt(),nHt(e=new rD(2),n),n=e),n.$l(cSt(t));return n}function Vpt(t){if(!(Z6t in t.a))throw qw(new nx("Every element must have an id."));return kMt(UQ(t,Z6t))}function Qpt(t){var e,n,i;if(!(i=t.Zg()))for(e=0,n=t.eh();n;n=n.eh()){if(++e>UXt)return n.fh();if((i=n.Zg())||n==t)break}return i}function Jpt(t){return lJ(),aO(t,156)?zz(FG(lLe,vne),288).vg(t):lY(lLe,nut(t))?zz(FG(lLe,nut(t)),288).vg(t):null}function tbt(t){if(vbt(s5t,t))return lN(),mee;if(vbt(c5t,t))return lN(),yee;throw qw(new $v("Expecting true or false"))}function ebt(t,e){if(e.c==t)return e.d;if(e.d==t)return e.c;throw qw(new $v("Input edge is not connected to the input port."))}function nbt(t,e){return t.e>e.e?1:t.e<e.e?-1:t.d>e.d?t.e:t.d<e.d?-e.e:t.e*Cut(t.a,e.a,t.d)}function ibt(t){return t>=48&&t<48+n.Math.min(10,10)?t-48:t>=97&&t<97?t-97+10:t>=65&&t<65?t-65+10:-1}function rbt(t,e){var n;return ZM(e)===ZM(t)||!!aO(e,21)&&(n=zz(e,21)).gc()==t.gc()&&t.Ic(n)}function abt(t,e){var n,i,r;return i=t.a.length-1,n=e-t.b&i,r=t.c-e&i,_P(n<(t.c-t.b&i)),n>=r?(slt(t,e),-1):(clt(t,e),1)}function obt(t,e){var n,i;for(d1(e,t.length),n=t.charCodeAt(e),i=e+1;i<t.length&&(d1(i,t.length),t.charCodeAt(i)==n);)++i;return i-e}function sbt(t){switch(t.g){case 12:case 13:case 14:case 15:case 16:case 17:case 18:case 19:case 20:return!0;default:return!1}}function cbt(t,e){var n,i=t.a;e=String(e),i.hasOwnProperty(e)&&(n=i[e]);var r=(tct(),fee)[typeof n];return r?r(n):klt(typeof n)}function ubt(t,e){if(t.a<0)throw qw(new jv("Did not call before(...) or after(...) before calling add(...)."));return KN(t,t.a,e),t}function lbt(t,e,n,i){var r;0!=e.c.length&&(r=COt(n,i),QE(xet(new FH(null,new g1(cMt(e),1)),new _o),new GW(t,n,r,i)))}function hbt(t,e,n){var i;0!=(t.Db&e)?null==n?WIt(t,e):-1==(i=Rmt(t,e))?t.Eb=n:DG(int(t.Eb),i,n):null!=n&&vPt(t,e,n)}function fbt(t){var e;return 0==(32&t.Db)&&0!=(e=dG(zz(xot(t,16),26)||t.zh())-dG(t.zh()))&&hbt(t,32,P7(Dte,HKt,1,e,5,1)),t}function dbt(t){var e;return t.b||Gk(t,!(e=tR(t.e,t.a))||!mR(c5t,opt((!e.b&&(e.b=new QP((wKt(),xDe),GDe,e)),e.b),"qualified"))),t.c}function gbt(t,e,n){var i,r;return((r=(i=zz(Wet(q9(t.a),e),87)).c||(wKt(),fDe)).kh()?nht(t.b,zz(r,49)):r)==n?djt(i):ont(i,n),r}function pbt(t,e){(e||null==console.groupCollapsed?null!=console.group?console.group:console.log:console.groupCollapsed).call(console,t)}function bbt(t,e,n,i){zz(n.b,65),zz(n.b,65),zz(i.b,65),zz(i.b,65).c.b,R7(i,e,t)}function wbt(t){var e,n;for(e=new Kd(t.g);e.a<e.c.c.length;)zz(t0(e),562);YUt(n=new xPt(t.g,Zv(t.a),t.c)),t.g=n.b,t.d=n.a}function ybt(t,e,i){e.b=n.Math.max(e.b,-i.a),e.c=n.Math.max(e.c,i.a-t.a),e.d=n.Math.max(e.d,-i.b),e.a=n.Math.max(e.a,i.b-t.b)}function mbt(t,e){return t.e<e.e?-1:t.e>e.e?1:t.f<e.f?-1:t.f>e.f?1:eut(t)-eut(e)}function vbt(t,e){return xK(t),null!=e&&(!!mR(t,e)||t.length==e.length&&mR(t.toLowerCase(),e.toLowerCase()))}function xbt(t,e){var n,i,r,a;for(i=0,r=e.gc();i<r;++i)aO(n=e.il(i),99)&&0!=(zz(n,18).Bb&h6t)&&null!=(a=e.jl(i))&&n$t(t,zz(a,56))}function kbt(t,e,n){var i,r,a;for(a=new Kd(n.a);a.a<a.c.c.length;)r=zz(t0(a),221),i=new AD(zz(FG(t.a,r.b),65)),Kz(e.a,i),kbt(t,i,r)}function _bt(t){var e,n;return Xlt(t,-129)>0&&Xlt(t,128)<0?(e=pZ(t)+128,!(n=(_H(),Oee)[e])&&(n=Oee[e]=new Bd(t)),n):new Bd(t)}function Ebt(t,e){var n,i;return(n=e.Hh(t.a))&&null!=(i=CB(opt((!n.b&&(n.b=new QP((wKt(),xDe),GDe,n)),n.b),n7t)))?i:e.ne()}function Tbt(t,e){var n,i;return(n=e.Hh(t.a))&&null!=(i=CB(opt((!n.b&&(n.b=new QP((wKt(),xDe),GDe,n)),n.b),n7t)))?i:e.ne()}function Cbt(t,e){var n,i;for(HJ(),i=new cU(JO(hdt(t).a.Kc(),new l));bLt(i);)if((n=zz(Y5(i),17)).d.i==e||n.c.i==e)return n;return null}function Sbt(t,e,n){this.c=t,this.f=new Nw,this.e=new Zk,this.j=new CH,this.n=new CH,this.b=e,this.g=new YW(e.c,e.d,e.b,e.a),this.a=n}function Abt(t){var e,n,i,r;for(this.a=new hL,this.d=new Fy,this.e=0,i=0,r=(n=t).length;i<r;++i)e=n[i],!this.f&&(this.f=e),b2(this,e)}function Mbt(t){LBt(),0==t.length?(this.e=0,this.d=1,this.a=Ast(Zx(LNe,1),hXt,25,15,[0])):(this.e=1,this.d=t.length,this.a=t,G0(this))}function Ibt(t,e,n){um.call(this),this.a=P7(Gie,aQt,212,(Fet(),Ast(Zx(Wie,1),OWt,232,0,[Zie,Uie,Yie])).length,0,1),this.b=t,this.d=e,this.c=n}function Lbt(t){this.d=new Nw,this.e=new y4,this.c=P7(LNe,hXt,25,(kYt(),Ast(Zx(jMe,1),QJt,61,0,[SMe,uMe,cMe,CMe,AMe])).length,15,1),this.b=t}function Dbt(t){var e,n,i,r;for(hct(r=zz(vTt(t,(hKt(),pfe)),11),Ofe,t.i.n.b),n=0,i=(e=J0(t.e)).length;n<i;++n)TJ(e[n],r)}function Obt(t){var e,n,i,r;for(hct(e=zz(vTt(t,(hKt(),pfe)),11),Ofe,t.i.n.b),i=0,r=(n=J0(t.g)).length;i<r;++i)CJ(n[i],e)}function Nbt(t){var e,n;return!!OP(t.d.i,(HGt(),Kbe))&&(e=zz(vTt(t.c.i,Kbe),19),n=zz(vTt(t.d.i,Kbe),19),_D(e.a,n.a)>0)}function Pbt(t){var e;ZM(tDt(t,(lKt(),_Ce)))===ZM((cht(),yAe))&&(QQ(t)?(e=zz(tDt(QQ(t),_Ce),334),Qwt(t,_Ce,e)):Qwt(t,_Ce,mAe))}function Bbt(t,e,n){var i,r;fTt(t.e,e,n,(kYt(),AMe)),fTt(t.i,e,n,cMe),t.a&&(r=zz(vTt(e,(hKt(),pfe)),11),i=zz(vTt(n,pfe),11),x0(t.g,r,i))}function Fbt(t,e,n){var i,r,a;i=e.c.p,a=e.p,t.b[i][a]=new BV(t,e),n&&(t.a[i][a]=new zp(e),(r=zz(vTt(e,(hKt(),rfe)),10))&&JMt(t.d,r,e))}function Rbt(t,e){var n,i,r;if(Kz(Cae,t),e.Fc(t),n=zz(FG(Tae,t),21))for(r=n.Kc();r.Ob();)i=zz(r.Pb(),33),-1!=_9(Cae,i,0)||Rbt(i,e)}function $bt(t,e,n){var i;(Kne?(wgt(t),1):Wne||Qne?(fT(),1):Vne&&(fT(),0))&&((i=new i$(e)).b=n,sCt(t,i))}function jbt(t,e){var n;n=!t.A.Hc((vpt(),$Me))||t.q==(V_t(),GAe),t.u.Hc((dMt(),nMe))?n?PYt(t,e):sYt(t,e):t.u.Hc(rMe)&&(n?DUt(t,e):JYt(t,e))}function zbt(t,e){var n,i;++t.j,null!=e&&uIt(e,n=aO(i=t.a.Cb,97)?zz(i,97).Jg():null)?hbt(t.a,4,n):hbt(t.a,4,zz(e,126))}function qbt(t,e,i){return new YW(n.Math.min(t.a,e.a)-i/2,n.Math.min(t.b,e.b)-i/2,n.Math.abs(t.a-e.a)+i,n.Math.abs(t.b-e.b)+i)}function Hbt(t,e){var n,i;return 0!=(n=_D(t.a.c.p,e.a.c.p))?n:0!=(i=_D(t.a.d.i.p,e.a.d.i.p))?i:_D(e.a.d.p,t.a.d.p)}function Zbt(t,e,n){var i,r,a,o;return(a=e.j)!=(o=n.j)?a.g-o.g:(i=t.f[e.p],r=t.f[n.p],0==i&&0==r?0:0==i?-1:0==r?1:Aft(i,r))}function Ubt(t,e,n){var i;if(!n[e.d])for(n[e.d]=!0,i=new Kd(kdt(e));i.a<i.c.c.length;)Ubt(t,Pdt(zz(t0(i),213),e),n)}function Ybt(t,e,n){var i;switch(i=n[t.g][e],t.g){case 1:case 3:return new PA(0,i);case 2:case 4:return new PA(i,0);default:return null}}function Gbt(t,e,n){var i;i=zz(uQ(e.f),209);try{i.Ze(t,n),CK(e.f,i)}catch(t){throw aO(t=dst(t),102),qw(t)}}function Kbt(t,e,n){var i,r,a,o;return i=null,(a=yZt(oit(),e))&&(r=null,null!=(o=tZt(a,n))&&(r=t.Ye(a,o)),i=r),i}function Wbt(t,e,n,i){var r;return r=new N9(t.e,1,13,e.c||(wKt(),fDe),n.c||(wKt(),fDe),cyt(t,e),!1),i?i.Ei(r):i=r,i}function Xbt(t,e,n,i){var r;if(e>=(r=t.length))return r;for(e=e>0?e:0;e<r&&!nct((d1(e,t.length),t.charCodeAt(e)),n,i);e++);return e}function Vbt(t,e){var n,i;for(i=t.c.length,e.length<i&&(e=Hx(new Array(i),e)),n=0;n<i;++n)DG(e,n,t.c[n]);return e.length>i&&DG(e,i,null),e}function Qbt(t,e){var n,i;for(i=t.a.length,e.length<i&&(e=Hx(new Array(i),e)),n=0;n<i;++n)DG(e,n,t.a[n]);return e.length>i&&DG(e,i,null),e}function Jbt(t,e,n){var i,r,a;return(r=zz(FG(t.e,e),387))?(a=wF(r,n),sO(t,r),a):(i=new tq(t,e,n),WK(t.e,e,i),xQ(i),null)}function twt(t){var e;if(null==t)return null;if(null==(e=NDt(zzt(t,!0))))throw qw(new ix("Invalid hexBinary value: '"+t+"'"));return e}function ewt(t){return LBt(),Xlt(t,0)<0?0!=Xlt(t,-1)?new m_t(-1,k9(t)):Qee:Xlt(t,10)<=0?tne[pZ(t)]:new m_t(1,t)}function nwt(){return bKt(),Ast(Zx(Rre,1),OWt,159,0,[Sre,Cre,Are,yre,wre,mre,kre,xre,vre,Tre,Ere,_re,pre,gre,bre,fre,hre,dre,ure,cre,lre,Mre])}function iwt(t){var e;this.d=new Nw,this.j=new Zk,this.g=new Zk,e=t.g.b,this.f=zz(vTt(yK(e),(HGt(),Ype)),103),this.e=Zv(TB(wwt(e,Cwe)))}function rwt(t){this.b=new Nw,this.e=new Nw,this.d=t,this.a=!k_(LW(new FH(null,new UY(new m6(t.b))),new og(new Zr))).sd((pT(),eie))}function awt(){awt=I,lTe=new LA("PARENTS",0),uTe=new LA("NODES",1),sTe=new LA("EDGES",2),hTe=new LA("PORTS",3),cTe=new LA("LABELS",4)}function owt(){owt=I,zAe=new UA("DISTRIBUTED",0),HAe=new UA("JUSTIFIED",1),$Ae=new UA("BEGIN",2),jAe=new UA(iQt,3),qAe=new UA("END",4)}function swt(t){switch(t.yi(null)){case 10:return 0;case 15:return 1;case 14:return 2;case 11:return 3;case 21:return 4}return-1}function cwt(t){switch(t.g){case 1:return zht(),qSe;case 4:return zht(),$Se;case 2:return zht(),jSe;case 3:return zht(),RSe}return zht(),zSe}function uwt(t,e,n){var i;switch((i=n.q.getFullYear()-lXt+lXt)<0&&(i=-i),e){case 1:t.a+=i;break;case 2:_tt(t,i%100,2);break;default:_tt(t,i,e)}}function lwt(t,e){var n,i;if(OJ(e,t.b),e>=t.b>>1)for(i=t.c,n=t.b;n>e;--n)i=i.b;else for(i=t.a.a,n=0;n<e;++n)i=i.a;return new JR(t,e,i)}function hwt(){hwt=I,pie=new jC("NUM_OF_EXTERNAL_SIDES_THAN_NUM_OF_EXTENSIONS_LAST",0),gie=new jC("CORNER_CASES_THAN_SINGLE_SIDE_LAST",1)}function fwt(t){var e,n,i;for(mD(n=cAt(t),zse),(i=t.d).c=P7(Dte,HKt,1,0,5,1),e=new Kd(n);e.a<e.c.c.length;)wst(i,zz(t0(e),456).b)}function dwt(t){var e,n;for(!t.o&&(t.o=new v8((MGt(),TIe),rLe,t,0)),e=(n=t.o).c.Kc();e.e!=e.i.gc();)zz(e.nj(),42).dd();return L7(n)}function gwt(t){var e;OR(zz(vTt(t,(HGt(),nwe)),98))&&(fIt((f1(0,(e=t.b).c.length),zz(e.c[0],29))),fIt(zz(PH(e,e.c.length-1),29)))}function pwt(t,e){var i,r,a,o;for(i=0,a=new Kd(e.a);a.a<a.c.c.length;)o=(r=zz(t0(a),10)).o.a+r.d.c+r.d.b+t.j,i=n.Math.max(i,o);return i}function bwt(t){var e,n,i,r;for(r=0,n=0,i=t.length;n<i;n++)d1(n,t.length),(e=t.charCodeAt(n))>=64&&e<128&&(r=i0(r,vU(1,e-64)));return r}function wwt(t,e){var n,i;return i=null,OP(t,(lKt(),ASe))&&(n=zz(vTt(t,ASe),94)).Xe(e)&&(i=n.We(e)),null==i&&yK(t)&&(i=vTt(yK(t),e)),i}function ywt(t,e){var n,i,r;(i=(r=e.d.i).k)!=(cCt(),Ase)&&i!=Ese&&bLt(n=new cU(JO(ddt(r).a.Kc(),new l)))&&WK(t.k,e,zz(Y5(n),17))}function mwt(t,e){var n,i,r;return i=iet(t.Tg(),e),(n=e-t.Ah())<0?(r=t.Yg(i))>=0?t.lh(r):ZMt(t,i):n<0?ZMt(t,i):zz(i,66).Nj().Sj(t,t.yh(),n)}function vwt(t){var e;if(aO(t.a,4)){if(null==(e=Jpt(t.a)))throw qw(new jv(u5t+t.b+"'. "+a5t+(_B(dLe),dLe.k)+o5t));return e}return t.a}function xwt(t){var e;if(null==t)return null;if(null==(e=GYt(zzt(t,!0))))throw qw(new ix("Invalid base64Binary value: '"+t+"'"));return e}function kwt(t){var e;try{return e=t.i.Xb(t.e),t.mj(),t.g=t.e++,e}catch(e){throw aO(e=dst(e),73)?(t.mj(),qw(new vy)):qw(e)}}function _wt(t){var e;try{return e=t.c.ki(t.e),t.mj(),t.g=t.e++,e}catch(e){throw aO(e=dst(e),73)?(t.mj(),qw(new vy)):qw(e)}}function Ewt(){Ewt=I,lKt(),_ae=ESe,wae=vCe,fae=aCe,yae=GCe,jxt(),xae=Tie,vae=_ie,kae=Sie,mae=kie,Uut(),gae=cae,dae=sae,pae=lae,bae=hae}function Twt(t){switch(kT(),this.c=new Nw,this.d=t,t.g){case 0:case 2:this.a=XK(lse),this.b=RXt;break;case 3:case 1:this.a=lse,this.b=$Xt}}function Cwt(t,e,n){var i;if(t.c)Ant(t.c,t.c.i+e),Mnt(t.c,t.c.j+n);else for(i=new Kd(t.b);i.a<i.c.c.length;)Cwt(zz(t0(i),157),e,n)}function Swt(t,e){var n,i;if(t.j.length!=e.j.length)return!1;for(n=0,i=t.j.length;n<i;n++)if(!mR(t.j[n],e.j[n]))return!1;return!0}function Awt(t,e,n){var i;e.a.length>0&&(Kz(t.b,new Wz(e.a,n)),0<(i=e.a.length)?e.a=e.a.substr(0,0):0>i&&(e.a+=rO(P7(INe,WWt,25,-i,15,1))))}function Mwt(t,e){var n,i,r;for(n=t.o,r=zz(zz(l6(t.r,e),21),84).Kc();r.Ob();)(i=zz(r.Pb(),111)).e.a=bvt(i,n.a),i.e.b=n.b*Zv(TB(i.b.We(Ore)))}function Iwt(t,e){var n,i,r,a;return r=t.k,n=Zv(TB(vTt(t,(hKt(),Efe)))),a=e.k,i=Zv(TB(vTt(e,Efe))),a!=(cCt(),Tse)?-1:r!=Tse?1:n==i?0:n<i?-1:1}function Lwt(t,e){var n,i;return n=zz(zz(FG(t.g,e.a),46).a,65),i=zz(zz(FG(t.g,e.b),46).a,65),K7(e.a,e.b)-K7(e.a,$D(n.b))-K7(e.b,$D(i.b))}function Dwt(t,e){var n;return n=zz(vTt(t,(HGt(),ybe)),74),eO(e,yse)?n?vX(n):(n=new xm,hct(t,ybe,n)):n&&hct(t,ybe,null),n}function Owt(t){var e;return(e=new Ax).a+="n",t.k!=(cCt(),Ase)&&cI(cI((e.a+="(",e),pP(t.k).toLowerCase()),")"),cI((e.a+="_",e),wvt(t)),e.a}function Nwt(t,e){LEt(e,"Self-Loop post-processing",1),QE(LW(LW(gtt(new FH(null,new g1(t.b,16)),new Pi),new Bi),new Fi),new Ri),HCt(e)}function Pwt(t,e,n,i){var r;return n>=0?t.hh(e,n,i):(t.eh()&&(i=(r=t.Vg())>=0?t.Qg(i):t.eh().ih(t,-1-r,null,i)),t.Sg(e,n,i))}function Bwt(t,e){switch(e){case 7:return!t.e&&(t.e=new lR($Ie,t,7,4)),void lHt(t.e);case 8:return!t.d&&(t.d=new lR($Ie,t,8,5)),void lHt(t.d)}Fgt(t,e)}function Fwt(t,e){var n;n=t.Zc(e);try{return n.Pb()}catch(t){throw aO(t=dst(t),109)?qw(new Lv("Can't get element "+e)):qw(t)}}function Rwt(t,e){this.e=t,e<KXt?(this.d=1,this.a=Ast(Zx(LNe,1),hXt,25,15,[0|e])):(this.d=2,this.a=Ast(Zx(LNe,1),hXt,25,15,[e%KXt|0,e/KXt|0]))}function $wt(t,e){var n,i,r,a;for(CX(),n=t,a=e,aO(t,21)&&!aO(e,21)&&(n=e,a=t),r=n.Kc();r.Ob();)if(i=r.Pb(),a.Hc(i))return!1;return!0}function jwt(t,e,n){var i,r,a,o;return-1!=(i=t.Xc(e))&&(t.ej()?(a=t.fj(),o=Nvt(t,i),r=t.Zi(4,o,null,i,a),n?n.Ei(r):n=r):Nvt(t,i)),n}function zwt(t,e,n){var i,r,a,o;return-1!=(i=t.Xc(e))&&(t.ej()?(a=t.fj(),o=gH(t,i),r=t.Zi(4,o,null,i,a),n?n.Ei(r):n=r):gH(t,i)),n}function qwt(t,e){var n;switch(n=zz(cW(t.b,e),124).n,e.g){case 1:t.t>=0&&(n.d=t.t);break;case 3:t.t>=0&&(n.a=t.t)}t.C&&(n.b=t.C.b,n.c=t.C.c)}function Hwt(){Hwt=I,zre=new $C(vQt,0),jre=new $C(xQt,1),qre=new $C(kQt,2),Hre=new $C(_Qt,3),zre.a=!1,jre.a=!0,qre.a=!1,Hre.a=!0}function Zwt(){Zwt=I,Jre=new RC(vQt,0),Qre=new RC(xQt,1),tae=new RC(kQt,2),eae=new RC(_Qt,3),Jre.a=!1,Qre.a=!0,tae.a=!1,eae.a=!0}function Uwt(t){var e;e=t.a;do{(e=zz(Y5(new cU(JO(fdt(e).a.Kc(),new l))),17).c.i).k==(cCt(),Sse)&&t.b.Fc(e)}while(e.k==(cCt(),Sse));t.b=iot(t.b)}function Ywt(t){var e,n,i;for(i=t.c.a,t.p=(vG(i),new e$(i)),n=new Kd(i);n.a<n.c.c.length;)(e=zz(t0(n),10)).p=hAt(e).a;CX(),mD(t.p,new Ia)}function Gwt(t){var e,n,i;if(n=0,0==(i=pBt(t)).c.length)return 1;for(e=new Kd(i);e.a<e.c.c.length;)n+=Gwt(zz(t0(e),33));return n}function Kwt(t,e){var n,i,r;for(r=0,i=zz(zz(l6(t.r,e),21),84).Kc();i.Ob();)r+=(n=zz(i.Pb(),111)).d.b+n.b.rf().a+n.d.c,i.Ob()&&(r+=t.w);return r}function Wwt(t,e){var 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e,n;if(n=null,e=!1,aO(t,204)&&(e=!0,n=zz(t,204).a),e||aO(t,258)&&(e=!0,n=""+zz(t,258).a),e||aO(t,483)&&(e=!0,n=""+zz(t,483).a),!e)throw qw(new Ov(H6t));return n}function kSt(t,e){var n,i;if(t.f){for(;e.Ob();)if(aO(i=(n=zz(e.Pb(),72)).ak(),99)&&0!=(zz(i,18).Bb&h6t)&&(!t.e||i.Gj()!=NIe||0!=i.aj())&&null!=n.dd())return e.Ub(),!0;return!1}return e.Ob()}function _St(t,e){var n,i;if(t.f){for(;e.Sb();)if(aO(i=(n=zz(e.Ub(),72)).ak(),99)&&0!=(zz(i,18).Bb&h6t)&&(!t.e||i.Gj()!=NIe||0!=i.aj())&&null!=n.dd())return e.Pb(),!0;return!1}return e.Sb()}function ESt(t,e,n){var i,r,a,o,s,c;for(c=sPt(t.e.Tg(),e),i=0,s=t.i,r=zz(t.g,119),o=0;o<t.i;++o)if(a=r[o],c.rl(a.ak())){if(n==i)return o;++i,s=o+1}if(n==i)return s;throw qw(new Lv(i8t+n+u7t+i))}function TSt(t,e){var i,r,a;if(0==t.f.c.length)return null;for(a=new dL,i=new Kd(t.f);i.a<i.c.c.length;)r=zz(t0(i),70).o,a.b=n.Math.max(a.b,r.a),a.a+=r.b;return a.a+=(t.f.c.length-1)*e,a}function CSt(t,e,n){var i,r,a;for(r=new cU(JO(hdt(n).a.Kc(),new 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n,i,r,a;t.ej()?(n=t.Vi(),a=t.fj(),++t.j,t.Hi(n,t.oi(n,e)),i=t.Zi(3,null,e,n,a),t.bj()&&(r=t.cj(e,null))?(r.Ei(i),r.Fi()):t.$i(i)):(nK(t,e),t.bj()&&(r=t.cj(e,null))&&r.Fi())}function DIt(t,e){var n,i,r,a,o;for(o=sPt(t.e.Tg(),e),r=new bc,n=zz(t.g,119),a=t.i;--a>=0;)i=n[a],o.rl(i.ak())&&h8(r,i);!sGt(t,r)&&mL(t.e)&&Oy(t,e.$j()?OV(t,6,e,(CX(),lne),null,-1,!1):OV(t,e.Kj()?2:1,e,null,null,-1,!1))}function OIt(){var t,e;for(OIt=I,sne=P7(une,lWt,91,32,0,1),cne=P7(une,lWt,91,32,0,1),t=1,e=0;e<=18;e++)sne[e]=ewt(t),cne[e]=ewt(vU(t,e)),t=odt(t,5);for(;e<cne.length;e++)sne[e]=Ntt(sne[e-1],sne[1]),cne[e]=Ntt(cne[e-1],(LBt(),ene))}function NIt(t,e){var n,i,r,a;return t.a==(JTt(),ahe)||(r=e.a.c,n=e.a.c+e.a.b,!(e.j&&(a=(i=e.A).c.c.a-i.o.a/2,r-(i.n.a+i.o.a)>a)||e.q&&(a=(i=e.C).c.c.a-i.o.a/2,i.n.a-n>a)))}function PIt(t,e){LEt(e,"Partition preprocessing",1),QE(zz(S4(LW(gtt(LW(new FH(null,new g1(t.a,16)),new yi),new mi),new vi),m8(new q,new z,new it,Ast(Zx(tie,1),OWt,132,0,[(Zut(),Yne)]))),15).Oc(),new xi),HCt(e)}function BIt(t){var e,n,i,r,a,o;for(HJ(),n=new y4,i=new Kd(t.e.b);i.a<i.c.c.length;)for(a=new Kd(zz(t0(i),29).a);a.a<a.c.c.length;)r=zz(t0(a),10),(e=zz(ftt(n,o=t.g[r.p]),15))||Jbt(n,o,e=new Nw),e.Fc(r);return n}function FIt(t,e){var n,i,r,a,o;for(r=e.b.b,t.a=P7(Rte,eJt,15,r,0,1),t.b=P7(DNe,tQt,25,r,16,1),o=lwt(e.b,0);o.b!=o.d.c;)a=zz(d3(o),86),t.a[a.g]=new VE;for(i=lwt(e.a,0);i.b!=i.d.c;)n=zz(d3(i),188),t.a[n.b.g].Fc(n),t.a[n.c.g].Fc(n)}function RIt(t){var e;return 0!=(64&t.Db)?ADt(t):((e=new hN(ADt(t))).a+=" (startX: ",y_(e,t.j),e.a+=", startY: ",y_(e,t.k),e.a+=", endX: ",y_(e,t.b),e.a+=", endY: ",y_(e,t.c),e.a+=", identifier: ",aI(e,t.d),e.a+=")",e.a)}function $It(t){var e;return 0!=(64&t.Db)?kht(t):((e=new hN(kht(t))).a+=" (ordered: ",v_(e,0!=(256&t.Bb)),e.a+=", unique: ",v_(e,0!=(512&t.Bb)),e.a+=", lowerBound: ",m_(e,t.s),e.a+=", upperBound: ",m_(e,t.t),e.a+=")",e.a)}function jIt(t,e,n,i,r,a,o,s){var c;return 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n,i,r,a;if(e){for(a=!(r=aO(t.Cb,88)||aO(t.Cb,99))&&aO(t.Cb,322),n=new LO((!e.a&&(e.a=new oZ(e,WLe,e)),e.a));n.e!=n.i.gc();)if(i=djt(zz(kwt(n),87)),r?aO(i,88):a?aO(i,148):i)return i;return r?(wKt(),pDe):(wKt(),fDe)}return null}function _Ot(t,e){var n,i,r,a,o;for(LEt(e,"Constraints Postprocessor",1),a=0,r=new Kd(t.b);r.a<r.c.c.length;){for(o=0,i=new Kd(zz(t0(r),29).a);i.a<i.c.c.length;)(n=zz(t0(i),10)).k==(cCt(),Ase)&&(hct(n,(HGt(),kbe),rft(a)),hct(n,zpe,rft(o)),++o);++a}HCt(e)}function EOt(t,e,n,i){var r,a,o,s,c,u;for(GF(s=new PA(n,i),zz(vTt(e,(ZHt(),txe)),8)),u=lwt(e.b,0);u.b!=u.d.c;)YF((c=zz(d3(u),86)).e,s),Bq(t.b,c);for(o=lwt(e.a,0);o.b!=o.d.c;){for(r=lwt((a=zz(d3(o),188)).a,0);r.b!=r.d.c;)YF(zz(d3(r),8),s);Bq(t.a,a)}}function TOt(t,e,n){var i,r,a;if(!(a=zHt((ISt(),JDe),t.Tg(),e)))throw qw(new $v(a6t+e.ne()+o6t));if(JT(),!zz(a,66).Oj()&&!(a=J1(z9(JDe,a))))throw qw(new $v(a6t+e.ne()+o6t));r=zz((i=t.Yg(a))>=0?t._g(i,!0,!0):oIt(t,a,!0),153),zz(r,215).ml(e,n)}function COt(t,e){var 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e,n,i,r;if(null==t)return null;if(i=zzt(t,!0),r=B9t.length,mR(i.substr(i.length-r,r),B9t))if(4==(n=i.length)){if(d1(0,i.length),43==(e=i.charCodeAt(0)))return ZOe;if(45==e)return HOe}else if(3==n)return ZOe;return new By(i)}function LOt(t){var e,n,i;return 0!=((n=t.l)&n-1)||0!=((i=t.m)&i-1)||0!=((e=t.h)&e-1)||0==e&&0==i&&0==n?-1:0==e&&0==i&&0!=n?wit(n):0==e&&0!=i&&0==n?wit(i)+22:0!=e&&0==i&&0==n?wit(e)+44:-1}function DOt(t,e){var n,i,r,a;for(LEt(e,"Edge joining",1),n=Hv(EB(vTt(t,(HGt(),Bwe)))),i=new Kd(t.b);i.a<i.c.c.length;)for(a=new T2(zz(t0(i),29).a,0);a.b<a.d.gc();)SP(a.b<a.d.gc()),(r=zz(a.d.Xb(a.c=a.b++),10)).k==(cCt(),Sse)&&(aZt(r,n),hK(a));HCt(e)}function OOt(t,e,n){var i;if(l2(t.b),AY(t.b,(Adt(),q_e),(IT(),ZEe)),AY(t.b,H_e,e.g),AY(t.b,Z_e,e.a),t.a=OHt(t.b,e),LEt(n,"Compaction by shrinking a tree",t.a.c.length),e.i.c.length>1)for(i=new Kd(t.a);i.a<i.c.c.length;)zz(t0(i),51).pf(e,vat(n,1));HCt(n)}function NOt(t,e){var n,i,r,a,o;for(r=e.a&t.f,a=null,i=t.b[r];;i=i.b){if(i==e){a?a.b=e.b:t.b[r]=e.b;break}a=i}for(o=e.f&t.f,a=null,n=t.c[o];;n=n.d){if(n==e){a?a.d=e.d:t.c[o]=e.d;break}a=n}e.e?e.e.c=e.c:t.a=e.c,e.c?e.c.e=e.e:t.e=e.e,--t.i,++t.g}function POt(t){var e,i,r,a,o,s,c,u,l,h;for(i=t.o,e=t.p,s=FKt,a=jWt,c=FKt,o=jWt,l=0;l<i;++l)for(h=0;h<e;++h)mmt(t,l,h)&&(s=n.Math.min(s,l),a=n.Math.max(a,l),c=n.Math.min(c,h),o=n.Math.max(o,h));return u=a-s+1,r=o-c+1,new WW(rft(s),rft(c),rft(u),rft(r))}function BOt(t,e){var n,i,r,a;for(SP((a=new T2(t,0)).b<a.d.gc()),n=zz(a.d.Xb(a.c=a.b++),140);a.b<a.d.gc();)SP(a.b<a.d.gc()),r=new mq((i=zz(a.d.Xb(a.c=a.b++),140)).c,n.d,e),SP(a.b>0),a.a.Xb(a.c=--a.b),vF(a,r),SP(a.b<a.d.gc()),a.d.Xb(a.c=a.b++),r.a=!1,n=i}function FOt(t){var e,n,i,r,a;for(i=zz(vTt(t,(hKt(),Rhe)),11),a=new Kd(t.j);a.a<a.c.c.length;){for(n=new Kd((r=zz(t0(a),11)).g);n.a<n.c.c.length;)return TJ(zz(t0(n),17),i),r;for(e=new Kd(r.e);e.a<e.c.c.length;)return CJ(zz(t0(e),17),i),r}return null}function ROt(t,e,i){var r,a;Xlt(r=fot(i.q.getTime()),0)<0?(a=XWt-pZ(dpt(k9(r),XWt)))==XWt&&(a=0):a=pZ(dpt(r,XWt)),1==e?PG(t,48+(a=n.Math.min((a+50)/100|0,9))&VWt):2==e?_tt(t,a=n.Math.min((a+5)/10|0,99),2):(_tt(t,a,3),e>3&&_tt(t,0,e-3))}function $Ot(t){var e,n,i,r;return ZM(vTt(t,(HGt(),ube)))===ZM((cht(),wAe))?!t.e&&ZM(vTt(t,Fpe))!==ZM(($ot(),xhe)):(i=zz(vTt(t,Rpe),292),r=Hv(EB(vTt(t,qpe)))||ZM(vTt(t,Hpe))===ZM((Lit(),ule)),e=zz(vTt(t,Bpe),19).a,n=t.a.c.length,!r&&i!=($ot(),xhe)&&(0==e||e>n))}function jOt(t){var e,n;for(n=0;n<t.c.length&&!(uH((f1(n,t.c.length),zz(t.c[n],113)))>0);n++);if(n>0&&n<t.c.length-1)return n;for(e=0;e<t.c.length&&!(uH((f1(e,t.c.length),zz(t.c[e],113)))>0);e++);return e>0&&n<t.c.length-1?e:t.c.length/2|0}function zOt(t,e){var n,i;if(e!=t.Cb||t.Db>>16!=6&&e){if(mxt(t,e))throw qw(new $v(p6t+RIt(t)));i=null,t.Cb&&(i=(n=t.Db>>16)>=0?lxt(t,i):t.Cb.ih(t,-1-n,null,i)),e&&(i=Pwt(e,t,6,i)),(i=XB(t,e,i))&&i.Fi()}else 0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new tY(t,1,6,e,e))}function qOt(t,e){var n,i;if(e!=t.Cb||t.Db>>16!=9&&e){if(mxt(t,e))throw qw(new $v(p6t+GFt(t)));i=null,t.Cb&&(i=(n=t.Db>>16)>=0?fxt(t,i):t.Cb.ih(t,-1-n,null,i)),e&&(i=Pwt(e,t,9,i)),(i=VB(t,e,i))&&i.Fi()}else 0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new tY(t,1,9,e,e))}function HOt(t,e){var n,i;if(e!=t.Cb||t.Db>>16!=3&&e){if(mxt(t,e))throw qw(new $v(p6t+dqt(t)));i=null,t.Cb&&(i=(n=t.Db>>16)>=0?Cxt(t,i):t.Cb.ih(t,-1-n,null,i)),e&&(i=Pwt(e,t,12,i)),(i=WB(t,e,i))&&i.Fi()}else 0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new tY(t,1,3,e,e))}function ZOt(t){var e,n,i,r,a;if(i=Ixt(t),null==(a=t.j)&&i)return t.$j()?null:i.zj();if(aO(i,148)){if((n=i.Aj())&&(r=n.Nh())!=t.i){if((e=zz(i,148)).Ej())try{t.g=r.Kh(e,a)}catch(e){if(!aO(e=dst(e),78))throw qw(e);t.g=null}t.i=r}return t.g}return null}function UOt(t){var e;return Kz(e=new Nw,new PC(new PA(t.c,t.d),new PA(t.c+t.b,t.d))),Kz(e,new PC(new PA(t.c,t.d),new PA(t.c,t.d+t.a))),Kz(e,new PC(new PA(t.c+t.b,t.d+t.a),new PA(t.c+t.b,t.d))),Kz(e,new PC(new PA(t.c+t.b,t.d+t.a),new PA(t.c,t.d+t.a))),e}function YOt(t,e,n,i){var r,a,o;if(o=Dkt(e,n),i.c[i.c.length]=e,-1==t.j[o.p]||2==t.j[o.p]||t.a[e.p])return i;for(t.j[o.p]=-1,a=new cU(JO(hdt(o).a.Kc(),new l));bLt(a);)if(!d5(r=zz(Y5(a),17))&&(d5(r)||r.c.i.c!=r.d.i.c)&&r!=e)return YOt(t,r,o,i);return i}function GOt(t,e,n){var i,r;for(r=e.a.ec().Kc();r.Ob();)i=zz(r.Pb(),79),!zz(FG(t.b,i),266)&&(QQ(ATt(i))==QQ(LTt(i))?nBt(t,i,n):ATt(i)==QQ(LTt(i))?null==FG(t.c,i)&&null!=FG(t.b,LTt(i))&&aUt(t,i,n,!1):null==FG(t.d,i)&&null!=FG(t.b,ATt(i))&&aUt(t,i,n,!0))}function KOt(t,e){var n,i,r,a,o,s,c;for(r=t.Kc();r.Ob();)for(i=zz(r.Pb(),10),AJ(s=new MCt,i),ZAt(s,(kYt(),cMe)),hct(s,(hKt(),kfe),(lN(),!0)),o=e.Kc();o.Ob();)a=zz(o.Pb(),10),AJ(c=new MCt,a),ZAt(c,AMe),hct(c,kfe,!0),hct(n=new gV,kfe,!0),CJ(n,s),TJ(n,c)}function WOt(t,e,n,i){var r,a,o,s;r=Dpt(t,e,n),a=Dpt(t,n,e),o=zz(FG(t.c,e),112),s=zz(FG(t.c,n),112),r<a?new UJ((I6(),Tve),o,s,a-r):a<r?new UJ((I6(),Tve),s,o,r-a):(0!=r||e.i&&n.i&&i[e.i.c][n.i.c])&&(new UJ((I6(),Tve),o,s,0),new UJ(Tve,s,o,0))}function XOt(t,e){var n,i,r,a,o,s;for(r=0,o=new Kd(e.a);o.a<o.c.c.length;)for(r+=(a=zz(t0(o),10)).o.b+a.d.a+a.d.d+t.e,i=new cU(JO(fdt(a).a.Kc(),new l));bLt(i);)(n=zz(Y5(i),17)).c.i.k==(cCt(),Mse)&&(r+=(s=zz(vTt(n.c.i,(hKt(),pfe)),10)).o.b+s.d.a+s.d.d);return r}function VOt(t,e,n){var i,r,a,o,s,c,u;for(a=new Nw,Lzt(t,u=new VE,o=new VE,e),EUt(t,u,o,e,n),c=new Kd(t);c.a<c.c.c.length;)for(r=new Kd((s=zz(t0(c),112)).k);r.a<r.c.c.length;)i=zz(t0(r),129),(!e||i.c==(I6(),Eve))&&s.g>i.b.g&&(a.c[a.c.length]=i);return a}function QOt(){QOt=I,B_e=new kA("CANDIDATE_POSITION_LAST_PLACED_RIGHT",0),P_e=new kA("CANDIDATE_POSITION_LAST_PLACED_BELOW",1),R_e=new kA("CANDIDATE_POSITION_WHOLE_DRAWING_RIGHT",2),F_e=new kA("CANDIDATE_POSITION_WHOLE_DRAWING_BELOW",3),$_e=new kA("WHOLE_DRAWING",4)}function JOt(t,e){if(aO(e,239))return hft(t,zz(e,33));if(aO(e,186))return Fft(t,zz(e,118));if(aO(e,354))return eX(t,zz(e,137));if(aO(e,352))return Jjt(t,zz(e,79));if(e)return null;throw qw(new $v(Y6t+NTt(new Qv(Ast(Zx(Dte,1),HKt,1,5,[e])))))}function tNt(t){var e,n,i,r,a,o,s;for(a=new VE,r=new Kd(t.d.a);r.a<r.c.c.length;)0==(i=zz(t0(r),121)).b.a.c.length&&r5(a,i,a.c.b,a.c);if(a.b>1)for(e=LN((n=new Hy,++t.b,n),t.d),s=lwt(a,0);s.b!=s.d.c;)o=zz(d3(s),121),GNt(oT(aT(sT(rT(new qy,1),0),e),o))}function eNt(t,e){var n,i;if(e!=t.Cb||t.Db>>16!=11&&e){if(mxt(t,e))throw qw(new $v(p6t+YFt(t)));i=null,t.Cb&&(i=(n=t.Db>>16)>=0?Sxt(t,i):t.Cb.ih(t,-1-n,null,i)),e&&(i=Pwt(e,t,10,i)),(i=UF(t,e,i))&&i.Fi()}else 0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new tY(t,1,11,e,e))}function nNt(t){var e,n,i,r;for(i=new cut(new Sd(t.b).a);i.b;)r=zz((n=nnt(i)).cd(),11),hct(e=zz(n.dd(),10),(hKt(),pfe),r),hct(r,_fe,e),hct(r,nfe,(lN(),!0)),ZAt(r,zz(vTt(e,Xhe),61)),vTt(e,Xhe),hct(r.i,(HGt(),nwe),(V_t(),WAe)),zz(vTt(yK(r.i),Jhe),21).Fc((gBt(),phe))}function iNt(t,e,n){var i,r,a;if(i=0,r=0,t.c)for(a=new Kd(t.d.i.j);a.a<a.c.c.length;)i+=zz(t0(a),11).e.c.length;else i=1;if(t.d)for(a=new Kd(t.c.i.j);a.a<a.c.c.length;)r+=zz(t0(a),11).g.c.length;else r=1;return(n+e)/2+.4*AQ(qq(r-i))*(n-e)}function rNt(t){var e,n;if(N_t(),t.Hc((kYt(),SMe)))throw qw(new $v("Port sides must not contain UNDEFINED"));switch(t.gc()){case 1:return Tue;case 2:return e=t.Hc(cMe)&&t.Hc(AMe),n=t.Hc(uMe)&&t.Hc(CMe),e||n?Aue:Sue;case 3:return Cue;case 4:return Eue;default:return null}}function aNt(t,e,n){var i,r,a,o;for(LEt(n,"Breaking Point Removing",1),t.a=zz(vTt(e,(HGt(),Jpe)),218),r=new Kd(e.b);r.a<r.c.c.length;)for(o=new Kd(o0(zz(t0(r),29).a));o.a<o.c.c.length;)Qtt(a=zz(t0(o),10))&&!(i=zz(vTt(a,(hKt(),Fhe)),305)).d&&YYt(t,i);HCt(n)}function oNt(t,e,n){return _Bt(),(!Fat(t,e)||!Fat(t,n))&&(vUt(new PA(t.c,t.d),new PA(t.c+t.b,t.d),e,n)||vUt(new PA(t.c+t.b,t.d),new PA(t.c+t.b,t.d+t.a),e,n)||vUt(new PA(t.c+t.b,t.d+t.a),new PA(t.c,t.d+t.a),e,n)||vUt(new PA(t.c,t.d+t.a),new PA(t.c,t.d),e,n))}function sNt(t,e){var n,i,r,a;if(!t.dc())for(n=0,i=t.gc();n<i;++n)if(null==(a=CB(t.Xb(n)))?null==e:mR(a.substr(0,3),"!##")?null!=e&&(r=e.length,!mR(a.substr(a.length-r,r),e)||a.length!=e.length+3)&&!mR(S9t,e):mR(a,A9t)&&!mR(S9t,e)||mR(a,e))return!0;return!1}function cNt(t,e,n,i){var r,a,o,s,c,u;for(o=t.j.c.length,c=P7(ore,aQt,306,o,0,1),s=0;s<o;s++)(a=zz(PH(t.j,s),11)).p=s,c[s]=hIt(vLt(a),n,i);for(XNt(t,c,n,e,i),u=new Pw,r=0;r<c.length;r++)c[r]&&WK(u,zz(PH(t.j,r),11),c[r]);u.f.c+u.g.c!=0&&(hct(t,(hKt(),Uhe),u),DCt(t,c))}function uNt(t,e,n){var i,r;for(i=new Kd(t.a.b);i.a<i.c.c.length;)if((r=h2(zz(t0(i),57)))&&r.k==(cCt(),Tse))switch(zz(vTt(r,(hKt(),Xhe)),61).g){case 4:r.n.a=e.a;break;case 2:r.n.a=n.a-(r.o.a+r.d.c);break;case 1:r.n.b=e.b;break;case 3:r.n.b=n.b-(r.o.b+r.d.a)}}function lNt(){lNt=I,Mye=new qS(VJt,0),Eye=new qS("NIKOLOV",1),Sye=new qS("NIKOLOV_PIXEL",2),Tye=new qS("NIKOLOV_IMPROVED",3),Cye=new qS("NIKOLOV_IMPROVED_PIXEL",4),_ye=new qS("DUMMYNODE_PERCENTAGE",5),Aye=new 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null}while(n&&n.k!=(cCt(),Ase));return n}function UNt(t,e){var n,i,r,a,o,s,c,u,l;for(s=e.j,o=e.g,c=zz(PH(s,s.c.length-1),113),f1(0,s.c.length),u=tvt(t,o,c,l=zz(s.c[0],113)),a=1;a<s.c.length;a++)f1(a-1,s.c.length),n=zz(s.c[a-1],113),f1(a,s.c.length),(i=tvt(t,o,n,r=zz(s.c[a],113)))>u&&(c=n,l=r,u=i);e.a=l,e.c=c}function YNt(t,e){var n;if(!JY(t.b,e.b))throw qw(new jv("Invalid hitboxes for scanline constraint calculation."));(kst(e.b,zz(TF(t.b,e.b),57))||kst(e.b,zz(EF(t.b,e.b),57)))&&(DE(),e.b),t.a[e.b.f]=zz(xR(t.b,e.b),57),(n=zz(vR(t.b,e.b),57))&&(t.a[n.f]=e.b)}function GNt(t){if(!t.a.d||!t.a.e)throw qw(new jv((_B(qie),qie.k+" must have a source and target "+(_B(Hie),Hie.k+" specified."))));if(t.a.d==t.a.e)throw qw(new jv("Network simplex does not support self-loops: "+t.a+" "+t.a.d+" "+t.a.e));return FN(t.a.d.g,t.a),FN(t.a.e.b,t.a),t.a}function KNt(t,e,n){var i,r,a,o,s,c,u;for(u=new p_(new Qp(t)),s=0,c=(o=Ast(Zx(Zse,1),c1t,11,0,[e,n])).length;s<c;++s)for(a=o[s],Cct(u.a,a,(lN(),yee)),r=new 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n,i,r,a,o,s,c,u;for(s=zz(vTt(t,(hKt(),pfe)),11),c=Dct(Ast(Zx(STe,1),lWt,8,0,[s.i.n,s.n,s.a])).a,u=t.i.n.b,r=0,a=(i=J0(t.e)).length;r<a;++r)TJ(n=i[r],s),hI(n.a,new PA(c,u)),e&&((o=zz(vTt(n,(HGt(),ybe)),74))||(o=new xm,hct(n,ybe,o)),Bq(o,new PA(c,u)))}function uPt(t,e){var n,i,r,a,o,s,c,u;for(i=zz(vTt(t,(hKt(),pfe)),11),c=Dct(Ast(Zx(STe,1),lWt,8,0,[i.i.n,i.n,i.a])).a,u=t.i.n.b,o=0,s=(a=J0(t.g)).length;o<s;++o)CJ(r=a[o],i),lI(r.a,new PA(c,u)),e&&((n=zz(vTt(r,(HGt(),ybe)),74))||(n=new xm,hct(r,ybe,n)),Bq(n,new PA(c,u)))}function lPt(t,e){var n,i,r,a,o;for(t.b=new Nw,t.d=zz(vTt(e,(hKt(),Cfe)),230),t.e=a0(t.d),a=new VE,r=s6(Ast(Zx(kse,1),JJt,37,0,[e])),o=0;o<r.c.length;)f1(o,r.c.length),(i=zz(r.c[o],37)).p=o++,wst(r,(n=new MZt(i,t.a,t.b)).b),Kz(t.b,n),n.s&&tG(lwt(a,0),n);return t.c=new Fy,a}function hPt(t,e){var n,i,r,a,o,s;for(o=zz(zz(l6(t.r,e),21),84).Kc();o.Ob();)(n=(a=zz(o.Pb(),111)).c?Wq(a.c):0)>0?a.a?n>(s=a.b.rf().a)&&(r=(n-s)/2,a.d.b=r,a.d.c=r):a.d.c=t.s+n:qU(t.u)&&((i=jEt(a.b)).c<0&&(a.d.b=-i.c),i.c+i.b>a.b.rf().a&&(a.d.c=i.c+i.b-a.b.rf().a))}function fPt(t,e){var n,i;for(LEt(e,"Semi-Interactive Crossing Minimization Processor",1),n=!1,i=new Kd(t.b);i.a<i.c.c.length;)n|=null!=Oht(xet(LW(LW(new FH(null,new g1(zz(t0(i),29).a,16)),new Xi),new Vi),new Qi),new Ji).a;n&&hct(t,(hKt(),ofe),(lN(),!0)),HCt(e)}function dPt(t,e,n){var i,r,a;if(!(r=n)&&(r=new Gm),LEt(r,"Layout",t.a.c.length),Hv(EB(vTt(e,(MLt(),_xe)))))for(DE(),i=0;i<t.a.c.length;i++)i++,t_(nut(zz(PH(t.a,i),51)));for(a=new Kd(t.a);a.a<a.c.c.length;)zz(t0(a),51).pf(e,vat(r,1));HCt(r)}function gPt(t){var e,i;if(e=zz(t.a,19).a,i=zz(t.b,19).a,e>=0){if(e==i)return new rM(rft(-e-1),rft(-e-1));if(e==-i)return new rM(rft(-e),rft(i+1))}return n.Math.abs(e)>n.Math.abs(i)?new rM(rft(-e),rft(e<0?i:i+1)):new rM(rft(e+1),rft(i))}function pPt(t){var e,n;n=zz(vTt(t,(HGt(),xbe)),163),e=zz(vTt(t,(hKt(),ife)),303),n==(Tdt(),jfe)?(hct(t,xbe,Hfe),hct(t,ife,(U9(),Ahe))):n==qfe?(hct(t,xbe,Hfe),hct(t,ife,(U9(),Che))):e==(U9(),Ahe)?(hct(t,xbe,jfe),hct(t,ife,She)):e==Che&&(hct(t,xbe,qfe),hct(t,ife,She))}function bPt(){bPt=I,kve=new co,yve=pH(new z2,(xTt(),$oe),(dKt(),kce)),xve=KZ(pH(new z2,$oe,Bce),zoe,Pce),_ve=ubt(ubt(jT(KZ(pH(new z2,Foe,Yce),zoe,Uce),joe),Zce),Gce),mve=KZ(pH(pH(pH(new z2,Roe,Tce),joe,Sce),joe,Ace),zoe,Cce),vve=KZ(pH(pH(new z2,joe,Ace),joe,sce),zoe,oce)}function wPt(){wPt=I,Ave=pH(KZ(new z2,(xTt(),zoe),(dKt(),lce)),$oe,kce),Dve=ubt(ubt(jT(KZ(pH(new z2,Foe,Yce),zoe,Uce),joe),Zce),Gce),Mve=KZ(pH(pH(pH(new z2,Roe,Tce),joe,Sce),joe,Ace),zoe,Cce),Lve=pH(pH(new z2,$oe,Bce),zoe,Pce),Ive=KZ(pH(pH(new z2,joe,Ace),joe,sce),zoe,oce)}function yPt(t,e,n,i,r){var a,o;(d5(e)||e.c.i.c!=e.d.i.c)&&ert(Dct(Ast(Zx(STe,1),lWt,8,0,[r.i.n,r.n,r.a])),n)||d5(e)||(e.c==r?RP(e.a,0,new gL(n)):Bq(e.a,new gL(n)),i&&!jE(t.a,n)&&((o=zz(vTt(e,(HGt(),ybe)),74))||(o=new xm,hct(e,ybe,o)),r5(o,a=new gL(n),o.c.b,o.c),EY(t.a,a)))}function mPt(t){var e;for(e=new cU(JO(fdt(t).a.Kc(),new l));bLt(e);)if(zz(Y5(e),17).c.i.k!=(cCt(),Cse))throw qw(new rx(A1t+wvt(t)+"' has its layer constraint set to FIRST, but has at least one incoming edge that  does not come from a FIRST_SEPARATE node. That must not happen."))}function vPt(t,e,n){var i,r,a,o,s,c;if(0==(r=ydt(254&t.Db)))t.Eb=n;else{if(1==r)o=P7(Dte,HKt,1,2,5,1),0==Rmt(t,e)?(o[0]=n,o[1]=t.Eb):(o[0]=t.Eb,o[1]=n);else for(o=P7(Dte,HKt,1,r+1,5,1),a=int(t.Eb),i=2,s=0,c=0;i<=128;i<<=1)i==e?o[c++]=n:0!=(t.Db&i)&&(o[c++]=a[s++]);t.Eb=o}t.Db|=e}function xPt(t,e,i){var r,a,o,s;for(this.b=new Nw,a=0,r=0,s=new Kd(t);s.a<s.c.c.length;)o=zz(t0(s),167),i&&$zt(o),Kz(this.b,o),a+=o.o,r+=o.p;this.b.c.length>0&&(a+=(o=zz(PH(this.b,0),167)).o,r+=o.p),a*=2,r*=2,e>1?a=AQ(n.Math.ceil(a*e)):r=AQ(n.Math.ceil(r/e)),this.a=new Zgt(a,r)}function kPt(t,e,i,r,a,o){var s,c,u,l,h,f,d,g,p,b;for(l=r,e.j&&e.o?(p=(d=zz(FG(t.f,e.A),57)).d.c+d.d.b,--l):p=e.a.c+e.a.b,h=a,i.q&&i.o?(u=(d=zz(FG(t.f,i.C),57)).d.c,++h):u=i.a.c,g=p+(c=(u-p)/n.Math.max(2,h-l)),f=l;f<h;++f)b=(s=zz(o.Xb(f),128)).a.b,s.a.c=g-b/2,g+=c}function _Pt(t,e,n,i,r,a){var o,s,c,u,l,h;for(u=n.c.length,a&&(t.c=P7(LNe,hXt,25,e.length,15,1)),o=r?0:e.length-1;r?o<e.length:o>=0;o+=r?1:-1){for(s=e[o],c=i==(kYt(),cMe)?r?sdt(s,i):iot(sdt(s,i)):r?iot(sdt(s,i)):sdt(s,i),a&&(t.c[s.p]=c.gc()),h=c.Kc();h.Ob();)l=zz(h.Pb(),11),t.d[l.p]=u++;wst(n,c)}}function EPt(t,e,n){var i,r,a,o,s,c,u,l;for(a=Zv(TB(t.b.Kc().Pb())),u=Zv(TB(Wot(e.b))),i=xO(zD(t.a),u-n),r=xO(zD(e.a),n-a),xO(l=YF(i,r),1/(u-a)),this.a=l,this.b=new Nw,s=!0,(o=t.b.Kc()).Pb();o.Ob();)c=Zv(TB(o.Pb())),s&&c-n>F3t&&(this.b.Fc(n),s=!1),this.b.Fc(c);s&&this.b.Fc(n)}function TPt(t){var e,n,i,r;if(hRt(t,t.n),t.d.c.length>0){for(tx(t.c);yLt(t,zz(t0(new Kd(t.e.a)),121))<t.e.a.c.length;){for(r=(e=Rvt(t)).e.e-e.d.e-e.a,e.e.j&&(r=-r),i=new Kd(t.e.a);i.a<i.c.c.length;)(n=zz(t0(i),121)).j&&(n.e+=r);tx(t.c)}tx(t.c),yMt(t,zz(t0(new Kd(t.e.a)),121)),wZt(t)}}function CPt(t,e){var n,i,r,a,o;for(r=zz(l6(t.a,(N_t(),Tue)),15).Kc();r.Ob();)switch(i=zz(r.Pb(),101),n=zz(PH(i.j,0),113).d.j,mD(a=new e$(i.j),new Qr),e.g){case 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n,i,r,a,o,s,c,u,l,h;if(o=zz(zz(l6(t.r,e),21),84),s=t.u.Hc((dMt(),rMe)),n=t.u.Hc(eMe),i=t.u.Hc(tMe),u=t.u.Hc(aMe),h=t.B.Hc((e$t(),XMe)),l=!n&&!i&&(u||2==o.gc()),hPt(t,e),r=null,c=null,s){for(c=r=zz((a=o.Kc()).Pb(),111);a.Ob();)c=zz(a.Pb(),111);r.d.b=0,c.d.c=0,l&&!r.a&&(r.d.c=0)}h&&(FEt(o),s&&(r.d.b=0,c.d.c=0))}function kFt(t,e){var n,i,r,a,o,s,c,u,l,h;if(o=zz(zz(l6(t.r,e),21),84),s=t.u.Hc((dMt(),rMe)),n=t.u.Hc(eMe),i=t.u.Hc(tMe),c=t.u.Hc(aMe),h=t.B.Hc((e$t(),XMe)),u=!n&&!i&&(c||2==o.gc()),X$t(t,e),l=null,r=null,s){for(r=l=zz((a=o.Kc()).Pb(),111);a.Ob();)r=zz(a.Pb(),111);l.d.d=0,r.d.a=0,u&&!l.a&&(l.d.a=0)}h&&(REt(o),s&&(l.d.d=0,r.d.a=0))}function _Ft(t,e,n){var i,r,a,o,s;if(i=e.k,e.p>=0)return!1;if(e.p=n.b,Kz(n.e,e),i==(cCt(),Sse)||i==Mse)for(r=new Kd(e.j);r.a<r.c.c.length;)for(s=new Ug(new Kd(new Zg(zz(t0(r),11)).a.g));vD(s.a);)if(o=(a=zz(t0(s.a),17).d.i).k,e.c!=a.c&&(o==Sse||o==Mse)&&_Ft(t,a,n))return!0;return!0}function EFt(t){var e;return 0!=(64&t.Db)?$It(t):((e=new hN($It(t))).a+=" 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n,i,r,a,o,s,c;for(a=0,s=0,c=0,r=new Kd(t.f.e);r.a<r.c.c.length;)e!=(i=zz(t0(r),144))&&(a+=o=t.i[e.b][i.b],(n=K7(e.d,i.d))>0&&t.d!=(H9(),Loe)&&(s+=o*(i.d.a+t.a[e.b][i.b]*(e.d.a-i.d.a)/n)),n>0&&t.d!=(H9(),Moe)&&(c+=o*(i.d.b+t.a[e.b][i.b]*(e.d.b-i.d.b)/n)));switch(t.d.g){case 1:return new PA(s/a,e.d.b);case 2:return new PA(e.d.a,c/a);default:return new PA(s/a,c/a)}}function ejt(t,e){var n,i,r,a;if(Yut(),a=zz(vTt(t.i,(HGt(),nwe)),98),0!=t.j.g-e.j.g||a!=(V_t(),YAe)&&a!=KAe&&a!=GAe)return 0;if(a==(V_t(),YAe)&&(n=zz(vTt(t,iwe),19),i=zz(vTt(e,iwe),19),n&&i&&0!=(r=n.a-i.a)))return r;switch(t.j.g){case 1:return Aft(t.n.a,e.n.a);case 2:return Aft(t.n.b,e.n.b);case 3:return Aft(e.n.a,t.n.a);case 4:return Aft(e.n.b,t.n.b);default:throw qw(new jv(a1t))}}function njt(t){var e,n,i,r,a;for(Kz(a=new Q6((!t.a&&(t.a=new DO(PIe,t,5)),t.a).i+2),new PA(t.j,t.k)),QE(new FH(null,(!t.a&&(t.a=new DO(PIe,t,5)),new g1(t.a,16))),new Mb(a)),Kz(a,new 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e;if(1!=(!t.a&&(t.a=new nY(jIe,t,6,6)),t.a).i)throw qw(new $v(q5t+(!t.a&&(t.a=new nY(jIe,t,6,6)),t.a).i));return e=new xm,gst(zz(Wet((!t.b&&(t.b=new lR(RIe,t,4,7)),t.b),0),82))&&zrt(e,YGt(t,gst(zz(Wet((!t.b&&(t.b=new lR(RIe,t,4,7)),t.b),0),82)),!1)),gst(zz(Wet((!t.c&&(t.c=new lR(RIe,t,5,8)),t.c),0),82))&&zrt(e,YGt(t,gst(zz(Wet((!t.c&&(t.c=new lR(RIe,t,5,8)),t.c),0),82)),!0)),e}function ojt(t,e){var n,i,r;for(r=!1,i=new cU(JO((e.d?t.a.c==(bQ(),eve)?fdt(e.b):ddt(e.b):t.a.c==(bQ(),tve)?fdt(e.b):ddt(e.b)).a.Kc(),new l));bLt(i);)if(n=zz(Y5(i),17),(Hv(t.a.f[t.a.g[e.b.p].p])||d5(n)||n.c.i.c!=n.d.i.c)&&!Hv(t.a.n[t.a.g[e.b.p].p])&&!Hv(t.a.n[t.a.g[e.b.p].p])&&(r=!0,jE(t.b,t.a.g[Nmt(n,e.b).p])))return e.c=!0,e.a=n,e;return e.c=r,e.a=null,e}function sjt(t,e,n,i,r){var a,o,s,c,u,l,h;for(CX(),mD(t,new Ks),s=new T2(t,0),h=new Nw,a=0;s.b<s.d.gc();)SP(s.b<s.d.gc()),o=zz(s.d.Xb(s.c=s.b++),157),0!=h.c.length&&iZ(o)*nZ(o)>2*a?(l=new Uet(h),u=iZ(o)/nZ(o),c=xGt(l,e,new dm,n,i,r,u),YF(xI(l.e),c),h.c=P7(Dte,HKt,1,0,5,1),a=0,h.c[h.c.length]=l,h.c[h.c.length]=o,a=iZ(l)*nZ(l)+iZ(o)*nZ(o)):(h.c[h.c.length]=o,a+=iZ(o)*nZ(o));return h}function cjt(t,e,n){var i,r,a,o,s,c,u;if(0==(i=n.gc()))return!1;if(t.ej())if(c=t.fj(),kgt(t,e,n),o=1==i?t.Zi(3,null,n.Kc().Pb(),e,c):t.Zi(5,null,n,e,c),t.bj()){for(s=i<100?null:new jk(i),a=e+i,r=e;r<a;++r)u=t.Oi(r),s=t.cj(u,s);s?(s.Ei(o),s.Fi()):t.$i(o)}else t.$i(o);else if(kgt(t,e,n),t.bj()){for(s=i<100?null:new jk(i),a=e+i,r=e;r<a;++r)s=t.cj(t.Oi(r),s);s&&s.Fi()}return!0}function ujt(t,e,n){var i,r,a,o;return t.ej()?(r=null,a=t.fj(),i=t.Zi(1,o=t.Ui(e,t.oi(e,n)),n,e,a),t.bj()&&!(t.ni()&&o?Pht(o,n):ZM(o)===ZM(n))?(o&&(r=t.dj(o,r)),(r=t.cj(n,r))?(r.Ei(i),r.Fi()):t.$i(i)):r?(r.Ei(i),r.Fi()):t.$i(i),o):(o=t.Ui(e,t.oi(e,n)),t.bj()&&!(t.ni()&&o?Pht(o,n):ZM(o)===ZM(n))&&(r=null,o&&(r=t.dj(o,null)),(r=t.cj(n,r))&&r.Fi()),o)}function ljt(t,e){var i,r,a,o,s,c,u,l;if(t.e=e,t.f=zz(vTt(e,(Crt(),loe)),230),KEt(e),t.d=n.Math.max(16*e.e.c.length+e.c.c.length,256),!Hv(EB(vTt(e,(fFt(),qae)))))for(l=t.e.e.c.length,c=new Kd(e.e);c.a<c.c.c.length;)(u=zz(t0(c),144).d).a=IZ(t.f)*l,u.b=IZ(t.f)*l;for(i=e.b,o=new Kd(e.c);o.a<o.c.c.length;)if(a=zz(t0(o),282),(r=zz(vTt(a,noe),19).a)>0){for(s=0;s<r;s++)Kz(i,new lG(a));qAt(a)}}function hjt(t,e){var i,r,a,o,s;if(t.k==(cCt(),Cse)&&(i=k_(LW(zz(vTt(t,(hKt(),Sfe)),15).Oc(),new og(new ri))).sd((pT(),eie))?e:(Kvt(),EAe),hct(t,sfe,i),i!=(Kvt(),_Ae)))for(r=zz(vTt(t,pfe),17),s=Zv(TB(vTt(r,(HGt(),obe)))),o=0,i==kAe?o=t.o.b-n.Math.ceil(s/2):i==EAe&&(t.o.b-=Zv(TB(vTt(yK(t),kwe))),o=(t.o.b-n.Math.ceil(s))/2),a=new Kd(t.j);a.a<a.c.c.length;)zz(t0(a),11).n.b=o}function fjt(){fjt=I,QT(),ENe=new Fl,Ast(Zx(LDe,2),lWt,368,0,[Ast(Zx(LDe,1),_te,592,0,[new Y_(Y9t)])]),Ast(Zx(LDe,2),lWt,368,0,[Ast(Zx(LDe,1),_te,592,0,[new Y_(G9t)])]),Ast(Zx(LDe,2),lWt,368,0,[Ast(Zx(LDe,1),_te,592,0,[new Y_(K9t)]),Ast(Zx(LDe,1),_te,592,0,[new Y_(G9t)])]),new DL("-1"),Ast(Zx(LDe,2),lWt,368,0,[Ast(Zx(LDe,1),_te,592,0,[new Y_("\\c+")])]),new DL("0"),new DL("0"),new DL("1"),new DL("0"),new DL(rte)}function djt(t){var e,n;return t.c&&t.c.kh()&&(n=zz(t.c,49),t.c=zz(nht(t,n),138),t.c!=n&&(0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new tY(t,9,2,n,t.c)),aO(t.Cb,399)?t.Db>>16==-15&&t.Cb.nh()&&D9(new x8(t.Cb,9,13,n,t.c,cyt(q9(zz(t.Cb,59)),t))):aO(t.Cb,88)&&t.Db>>16==-23&&t.Cb.nh()&&(aO(e=t.c,88)||(wKt(),e=pDe),aO(n,88)||(wKt(),n=pDe),D9(new x8(t.Cb,9,10,n,e,cyt(o4(zz(t.Cb,26)),t)))))),t.c}function gjt(t,e){var n,i,r,a,o,s,c,u;for(LEt(e,"Hypernodes processing",1),i=new Kd(t.b);i.a<i.c.c.length;)for(o=new Kd(zz(t0(i),29).a);o.a<o.c.c.length;)if(Hv(EB(vTt(a=zz(t0(o),10),(HGt(),dbe))))&&a.j.c.length<=2){for(u=0,c=0,n=0,r=0,s=new Kd(a.j);s.a<s.c.c.length;)switch(zz(t0(s),11).j.g){case 1:++u;break;case 2:++c;break;case 3:++n;break;case 4:++r}0==u&&0==n&&_Gt(t,a,r<=c)}HCt(e)}function pjt(t,e){var n,i,r,a,o,s,c,u,l;for(LEt(e,"Layer constraint edge reversal",1),o=new Kd(t.b);o.a<o.c.c.length;){for(a=zz(t0(o),29),l=-1,n=new Nw,u=t2(a.a),r=0;r<u.length;r++)i=zz(vTt(u[r],(hKt(),ife)),303),-1==l?i!=(U9(),Ahe)&&(l=r):i==(U9(),Ahe)&&(SJ(u[r],null),Vvt(u[r],l++,a)),i==(U9(),Che)&&Kz(n,u[r]);for(c=new Kd(n);c.a<c.c.c.length;)SJ(s=zz(t0(c),10),null),SJ(s,a)}HCt(e)}function bjt(t,e,n){var i,r,a,o,s,c,u,l;for(LEt(n,"Hyperedge merging",1),BLt(t,e),s=new T2(e.b,0);s.b<s.d.gc();)if(SP(s.b<s.d.gc()),0!=(u=zz(s.d.Xb(s.c=s.b++),29).a).c.length)for(i=null,r=null,a=null,o=null,c=0;c<u.c.length;c++)f1(c,u.c.length),(r=(i=zz(u.c[c],10)).k)==(cCt(),Sse)&&o==Sse&&(l=hqt(i,a)).a&&(aBt(i,a,l.b,l.c),f1(c,u.c.length),S_(u.c,c,1),--c,i=a,r=o),a=i,o=r;HCt(n)}function wjt(t,e){var n,i,r;i=0!=HDt(t.d,1),!Hv(EB(vTt(e.j,(hKt(),Qhe))))&&!Hv(EB(vTt(e.j,Mfe)))||ZM(vTt(e.j,(HGt(),Ope)))===ZM((vct(),Nye))?e.c.Tf(e.e,i):i=Hv(EB(vTt(e.j,Qhe))),FNt(t,e,i,!0),Hv(EB(vTt(e.j,Mfe)))&&hct(e.j,Mfe,(lN(),!1)),Hv(EB(vTt(e.j,Qhe)))&&(hct(e.j,Qhe,(lN(),!1)),hct(e.j,Mfe,!0)),n=iRt(t,e);do{if(Ort(t),0==n)return 0;r=n,FNt(t,e,i=!i,!1),n=iRt(t,e)}while(r>n);return r}function yjt(t,e){var n,i,r;i=0!=HDt(t.d,1),!Hv(EB(vTt(e.j,(hKt(),Qhe))))&&!Hv(EB(vTt(e.j,Mfe)))||ZM(vTt(e.j,(HGt(),Ope)))===ZM((vct(),Nye))?e.c.Tf(e.e,i):i=Hv(EB(vTt(e.j,Qhe))),FNt(t,e,i,!0),Hv(EB(vTt(e.j,Mfe)))&&hct(e.j,Mfe,(lN(),!1)),Hv(EB(vTt(e.j,Qhe)))&&(hct(e.j,Qhe,(lN(),!1)),hct(e.j,Mfe,!0)),n=eAt(t,e);do{if(Ort(t),0==n)return 0;r=n,FNt(t,e,i=!i,!1),n=eAt(t,e)}while(r>n);return r}function mjt(t,e,n){var i,r,a,o,s,c,u;if(e==n)return!0;if(e=gLt(t,e),n=gLt(t,n),i=Zyt(e)){if((c=Zyt(n))!=i)return!!c&&(o=i.Dj())==c.Dj()&&null!=o;if(!e.d&&(e.d=new DO(WLe,e,1)),r=(a=e.d).i,!n.d&&(n.d=new DO(WLe,n,1)),r==(u=n.d).i)for(s=0;s<r;++s)if(!mjt(t,zz(Wet(a,s),87),zz(Wet(u,s),87)))return!1;return!0}return e.e==n.e}function vjt(t,e,n,i){var r,a,o,s,c,u,l,h;if(OPt(t.e,e)){for(h=sPt(t.e.Tg(),e),a=zz(t.g,119),l=null,c=-1,s=-1,r=0,u=0;u<t.i;++u)o=a[u],h.rl(o.ak())&&(r==n&&(c=u),r==i&&(s=u,l=o.dd()),++r);if(-1==c)throw qw(new Lv(c7t+n+u7t+r));if(-1==s)throw qw(new Lv(l7t+i+u7t+r));return Ift(t,c,s),mL(t.e)&&Oy(t,OV(t,7,e,rft(i),l,n,!0)),l}throw qw(new $v("The feature must be many-valued to support move"))}function xjt(t,e,n,i){var r,a,o,s,c;switch((c=new gL(e.n)).a+=e.o.a/2,c.b+=e.o.b/2,s=Zv(TB(vTt(e,(HGt(),ewe)))),a=t.f,o=t.d,r=t.c,zz(vTt(e,(hKt(),Xhe)),61).g){case 1:c.a+=o.b+r.a-n/2,c.b=-i-s,e.n.b=-(o.d+s+r.b);break;case 2:c.a=a.a+o.b+o.c+s,c.b+=o.d+r.b-i/2,e.n.a=a.a+o.c+s-r.a;break;case 3:c.a+=o.b+r.a-n/2,c.b=a.b+o.d+o.a+s,e.n.b=a.b+o.a+s-r.b;break;case 4:c.a=-n-s,c.b+=o.d+r.b-i/2,e.n.a=-(o.b+s+r.a)}return c}function kjt(t){var e,n,i,r,a,o;return Zot(i=new vit,t),ZM(vTt(i,(HGt(),Ype)))===ZM((zht(),zSe))&&hct(i,Ype,Wft(i)),null==vTt(i,(A6(),ETe))&&(o=zz(OTt(t),160),hct(i,ETe,iI(o.We(ETe)))),hct(i,(hKt(),pfe),t),hct(i,Jhe,new VR(e=zz(Wk(Ehe),9),zz(CF(e,e.length),9),0)),r=AUt((QQ(t)&&(ZT(),new Bv(QQ(t))),ZT(),new QN(QQ(t)?new Bv(QQ(t)):null,t)),jSe),a=zz(vTt(i,Ube),116),nJ(n=i.d,a),nJ(n,r),i}function _jt(t,e,n){var i,r;i=e.c.i,r=n.d.i,i.k==(cCt(),Sse)?(hct(t,(hKt(),lfe),zz(vTt(i,lfe),11)),hct(t,hfe,zz(vTt(i,hfe),11)),hct(t,ufe,EB(vTt(i,ufe)))):i.k==Cse?(hct(t,(hKt(),lfe),zz(vTt(i,lfe),11)),hct(t,hfe,zz(vTt(i,hfe),11)),hct(t,ufe,(lN(),!0))):r.k==Cse?(hct(t,(hKt(),lfe),zz(vTt(r,lfe),11)),hct(t,hfe,zz(vTt(r,hfe),11)),hct(t,ufe,(lN(),!0))):(hct(t,(hKt(),lfe),e.c),hct(t,hfe,n.d))}function Ejt(t){var e,n,i,r,a,o,s;for(t.o=new Ow,i=new VE,o=new Kd(t.e.a);o.a<o.c.c.length;)1==kdt(a=zz(t0(o),121)).c.length&&r5(i,a,i.c.b,i.c);for(;0!=i.b;)0!=kdt(a=zz(0==i.b?null:(SP(0!=i.b),Det(i,i.a.a)),121)).c.length&&(e=zz(PH(kdt(a),0),213),n=a.g.a.c.length>0,s=Pdt(e,a),RN(n?s.b:s.g,e),1==kdt(s).c.length&&r5(i,s,i.c.b,i.c),r=new rM(a,e),p3(t.o,r),v9(t.e.a,a))}function Tjt(t,e){var i,r,a,o;return r=n.Math.abs(HU(t.b).a-HU(e.b).a),o=n.Math.abs(HU(t.b).b-HU(e.b).b),i=1,a=1,r>t.b.b/2+e.b.b/2&&(i=1-n.Math.min(n.Math.abs(t.b.c-(e.b.c+e.b.b)),n.Math.abs(t.b.c+t.b.b-e.b.c))/r),o>t.b.a/2+e.b.a/2&&(a=1-n.Math.min(n.Math.abs(t.b.d-(e.b.d+e.b.a)),n.Math.abs(t.b.d+t.b.a-e.b.d))/o),(1-n.Math.min(i,a))*n.Math.sqrt(r*r+o*o)}function Cjt(t){var e,n,i;for(eYt(t,t.e,t.f,(pQ(),Ove),!0,t.c,t.i),eYt(t,t.e,t.f,Ove,!1,t.c,t.i),eYt(t,t.e,t.f,Nve,!0,t.c,t.i),eYt(t,t.e,t.f,Nve,!1,t.c,t.i),Ijt(t,t.c,t.e,t.f,t.i),n=new T2(t.i,0);n.b<n.d.gc();)for(SP(n.b<n.d.gc()),e=zz(n.d.Xb(n.c=n.b++),128),i=new T2(t.i,n.b);i.b<i.d.gc();)SP(i.b<i.d.gc()),PHt(e,zz(i.d.Xb(i.c=i.b++),128));IGt(t.i,zz(vTt(t.d,(hKt(),Cfe)),230)),UZt(t.i)}function Sjt(t,e){var n,i;if(null!=e)if(i=rvt(t)){if(0==(1&i.i))return tC(),!(n=zz(FG(mLe,i),55))||n.wj(e);if(i==DNe)return UM(e);if(i==LNe)return aO(e,19);if(i==BNe)return aO(e,155);if(i==NNe)return aO(e,217);if(i==INe)return aO(e,172);if(i==PNe)return YM(e);if(i==FNe)return aO(e,184);if(i==ONe)return aO(e,162)}else if(aO(e,56))return t.uk(zz(e,56));return!1}function Ajt(){var t,e,n,i,r,a,o,s,c;for(Ajt=I,KOe=P7(NNe,m6t,25,255,15,1),WOe=P7(INe,WWt,25,64,15,1),e=0;e<255;e++)KOe[e]=-1;for(n=90;n>=65;n--)KOe[n]=n-65<<24>>24;for(i=122;i>=97;i--)KOe[i]=i-97+26<<24>>24;for(r=57;r>=48;r--)KOe[r]=r-48+52<<24>>24;for(KOe[43]=62,KOe[47]=63,a=0;a<=25;a++)WOe[a]=65+a&VWt;for(o=26,c=0;o<=51;++o,c++)WOe[o]=97+c&VWt;for(t=52,s=0;t<=61;++t,s++)WOe[t]=48+s&VWt;WOe[62]=43,WOe[63]=47}function Mjt(t,e){var i,r,a,o,s,c,u,l,h,f,d;if(t.dc())return new Zk;for(u=0,h=0,r=t.Kc();r.Ob();)a=zz(r.Pb(),37).f,u=n.Math.max(u,a.a),h+=a.a*a.b;for(u=n.Math.max(u,n.Math.sqrt(h)*Zv(TB(vTt(zz(t.Kc().Pb(),37),(HGt(),_pe))))),f=0,d=0,c=0,i=e,s=t.Kc();s.Ob();)f+(l=(o=zz(s.Pb(),37)).f).a>u&&(f=0,d+=c+e,c=0),tRt(o,f,d),i=n.Math.max(i,f+l.a),c=n.Math.max(c,l.b),f+=l.a+e;return new PA(i+e,d+c+e)}function Ijt(t,e,n,i,r){var a,o,s,c,u,l,h;for(o=new Kd(e);o.a<o.c.c.length;){if(c=(a=zz(t0(o),17)).c,n.a._b(c))pQ(),u=Ove;else{if(!i.a._b(c))throw qw(new $v("Source port must be in one of the port sets."));pQ(),u=Nve}if(l=a.d,n.a._b(l))pQ(),h=Ove;else{if(!i.a._b(l))throw qw(new $v("Target port must be in one of the port sets."));pQ(),h=Nve}s=new nAt(a,u,h),WK(t.b,a,s),r.c[r.c.length]=s}}function Ljt(t,e){var n,i,r,a,o,s,c;if(!KQ(t))throw qw(new jv(z5t));if(a=(i=KQ(t)).g,r=i.f,a<=0&&r<=0)return kYt(),SMe;switch(s=t.i,c=t.j,e.g){case 2:case 1:if(s<0)return kYt(),AMe;if(s+t.g>a)return kYt(),cMe;break;case 4:case 3:if(c<0)return kYt(),uMe;if(c+t.f>r)return kYt(),CMe}return(o=(s+t.g/2)/a)+(n=(c+t.f/2)/r)<=1&&o-n<=0?(kYt(),AMe):o+n>=1&&o-n>=0?(kYt(),cMe):n<.5?(kYt(),uMe):(kYt(),CMe)}function Djt(t,e,n,i,r){var a,o;if(a=adt(n0(e[0],GXt),n0(i[0],GXt)),t[0]=pZ(a),a=xU(a,32),n>=r){for(o=1;o<r;o++)a=adt(a,adt(n0(e[o],GXt),n0(i[o],GXt))),t[o]=pZ(a),a=xU(a,32);for(;o<n;o++)a=adt(a,n0(e[o],GXt)),t[o]=pZ(a),a=xU(a,32)}else{for(o=1;o<n;o++)a=adt(a,adt(n0(e[o],GXt),n0(i[o],GXt))),t[o]=pZ(a),a=xU(a,32);for(;o<r;o++)a=adt(a,n0(i[o],GXt)),t[o]=pZ(a),a=xU(a,32)}0!=Xlt(a,0)&&(t[o]=pZ(a))}function Ojt(t){var e,n,i,r,a,o;if(pKt(),4!=t.e&&5!=t.e)throw qw(new $v("Token#complementRanges(): must be RANGE: "+t.e));for(TDt(a=t),Zqt(a),i=a.b.length+2,0==a.b[0]&&(i-=2),(n=a.b[a.b.length-1])==cte&&(i-=2),(r=new T0(4)).b=P7(LNe,hXt,25,i,15,1),o=0,a.b[0]>0&&(r.b[o++]=0,r.b[o++]=a.b[0]-1),e=1;e<a.b.length-2;e+=2)r.b[o++]=a.b[e]+1,r.b[o++]=a.b[e+1]-1;return n!=cte&&(r.b[o++]=n+1,r.b[o]=cte),r.a=!0,r}function Njt(t,e,n){var i,r,a,o,s,c,u,l;if(0==(i=n.gc()))return!1;if(t.ej())if(u=t.fj(),qEt(t,e,n),o=1==i?t.Zi(3,null,n.Kc().Pb(),e,u):t.Zi(5,null,n,e,u),t.bj()){for(s=i<100?null:new jk(i),a=e+i,r=e;r<a;++r)l=t.g[r],s=t.cj(l,s),s=t.jj(l,s);s?(s.Ei(o),s.Fi()):t.$i(o)}else t.$i(o);else if(qEt(t,e,n),t.bj()){for(s=i<100?null:new jk(i),a=e+i,r=e;r<a;++r)c=t.g[r],s=t.cj(c,s);s&&s.Fi()}return!0}function Pjt(t,e,n,i){var r,a,o,s,c;for(o=new Kd(t.k);o.a<o.c.c.length;)r=zz(t0(o),129),i&&r.c!=(I6(),Eve)||(c=r.b).g<0&&r.d>0&&(Wf(c,c.d-r.d),r.c==(I6(),Eve)&&Gf(c,c.a-r.d),c.d<=0&&c.i>0&&r5(e,c,e.c.b,e.c));for(a=new Kd(t.f);a.a<a.c.c.length;)r=zz(t0(a),129),i&&r.c!=(I6(),Eve)||(s=r.a).g<0&&r.d>0&&(Xf(s,s.i-r.d),r.c==(I6(),Eve)&&Kf(s,s.b-r.d),s.i<=0&&s.d>0&&r5(n,s,n.c.b,n.c))}function Bjt(t,e,n){var i,r,a,o,s,c,u,l;for(LEt(n,"Processor compute fanout",1),DY(t.b),DY(t.a),s=null,a=lwt(e.b,0);!s&&a.b!=a.d.c;)Hv(EB(vTt(u=zz(d3(a),86),(ZHt(),pxe))))&&(s=u);for(r5(c=new VE,s,c.c.b,c.c),_Yt(t,c),l=lwt(e.b,0);l.b!=l.d.c;)o=CB(vTt(u=zz(d3(l),86),(ZHt(),rxe))),r=null!=CQ(t.b,o)?zz(CQ(t.b,o),19).a:0,hct(u,ixe,rft(r)),i=1+(null!=CQ(t.a,o)?zz(CQ(t.a,o),19).a:0),hct(u,exe,rft(i));HCt(n)}function Fjt(t,e,n,i,r){var a,o,s,c,u,l,h,f,d;for(h=x_t(t,n),s=0;s<e;s++){for(vF(r,n),f=new Nw,SP(i.b<i.d.gc()),d=zz(i.d.Xb(i.c=i.b++),407),u=h+s;u<t.b;u++)o=d,SP(i.b<i.d.gc()),Kz(f,new EPt(o,d=zz(i.d.Xb(i.c=i.b++),407),n));for(l=h+s;l<t.b;l++)SP(i.b>0),i.a.Xb(i.c=--i.b),l>h+s&&hK(i);for(a=new Kd(f);a.a<a.c.c.length;)vF(i,zz(t0(a),407));if(s<e-1)for(c=h+s;c<t.b;c++)SP(i.b>0),i.a.Xb(i.c=--i.b)}}function Rjt(){var t,e,n,i,r,a;if(pKt(),ANe)return ANe;for(lqt(t=new T0(4),tGt(yte,!0)),WZt(t,tGt("M",!0)),WZt(t,tGt("C",!0)),a=new T0(4),i=0;i<11;i++)QPt(a,i,i);return lqt(e=new T0(4),tGt("M",!0)),QPt(e,4448,4607),QPt(e,65438,65439),nHt(r=new rD(2),t),nHt(r,uNe),(n=new rD(2)).$l(bZ(a,tGt("L",!0))),n.$l(e),n=new l4(3,n),n=new YY(r,n),ANe=n}function $jt(t){var e,n;if(!Qat(e=CB(tDt(t,(lKt(),nCe))),t)&&!S7(t,mSe)&&(0!=(!t.a&&(t.a=new nY(YIe,t,10,11)),t.a).i||Hv(EB(tDt(t,CCe))))){if(null!=e&&0!=RTt(e).length)throw wUt(t,n=cI(cI(new fN("Layout algorithm '"),e),"' not found for ")),qw(new rx(n.a));if(!Qat(p1t,t))throw wUt(t,n=cI(cI(new fN("Unable to load default layout algorithm "),p1t)," for unconfigured node ")),qw(new rx(n.a))}}function jjt(t){var e,i,r,a,o,s,c,u,l,h,f,d,g;if(i=t.i,e=t.n,0==t.b)for(g=i.c+e.b,d=i.b-e.b-e.c,u=0,h=(s=t.a).length;u<h;++u)YZ(a=s[u],g,d);else r=Wyt(t,!1),YZ(t.a[0],i.c+e.b,r[0]),YZ(t.a[2],i.c+i.b-e.c-r[2],r[2]),f=i.b-e.b-e.c,r[0]>0&&(f-=r[0]+t.c,r[0]+=t.c),r[2]>0&&(f-=r[2]+t.c),r[1]=n.Math.max(r[1],f),YZ(t.a[1],i.c+e.b+r[0]-(r[1]-f)/2,r[1]);for(c=0,l=(o=t.a).length;c<l;++c)aO(a=o[c],326)&&zz(a,326).Te()}function zjt(t){var e,n,i,r,a,o,s,c,u,l,h;for((h=new oo).d=0,o=new Kd(t.b);o.a<o.c.c.length;)a=zz(t0(o),29),h.d+=a.a.c.length;for(i=0,r=0,h.a=P7(LNe,hXt,25,t.b.c.length,15,1),u=0,l=0,h.e=P7(LNe,hXt,25,h.d,15,1),n=new Kd(t.b);n.a<n.c.c.length;)for((e=zz(t0(n),29)).p=i++,h.a[e.p]=r++,l=0,c=new Kd(e.a);c.a<c.c.c.length;)(s=zz(t0(c),10)).p=u++,h.e[s.p]=l++;return h.c=new hb(h),h.b=uP(h.d),H$t(h,t),h.f=uP(h.d),Z$t(h,t),h}function qjt(t,e){var i,r,a;for(a=zz(PH(t.n,t.n.c.length-1),211).d,t.p=n.Math.min(t.p,e.g),t.r=n.Math.max(t.r,a),t.g=n.Math.max(t.g,e.g+(1==t.b.c.length?0:t.i)),t.o=n.Math.min(t.o,e.f),t.e+=e.f+(1==t.b.c.length?0:t.i),t.f=n.Math.max(t.f,e.f),r=t.n.c.length>0?(t.n.c.length-1)*t.i:0,i=new Kd(t.n);i.a<i.c.c.length;)r+=zz(t0(i),211).a;t.d=r,t.a=t.e/t.b.c.length-t.i*((t.b.c.length-1)/t.b.c.length),xvt(t.j)}function Hjt(t,e){var n,i,r,a,o,s,c,u,l;if(null==(u=EB(vTt(e,(fFt(),ioe))))||(xK(u),u)){for(l=P7(DNe,tQt,25,e.e.c.length,16,1),o=kIt(e),r=new VE,c=new Kd(e.e);c.a<c.c.c.length;)(n=QDt(t,zz(t0(c),144),null,null,l,o))&&(Zot(n,e),r5(r,n,r.c.b,r.c));if(r.b>1)for(i=lwt(r,0);i.b!=i.d.c;)for(a=0,s=new Kd((n=zz(d3(i),231)).e);s.a<s.c.c.length;)zz(t0(s),144).b=a++;return r}return s6(Ast(Zx(Rae,1),nJt,231,0,[e]))}function Zjt(t){var e,n,i,r,a;if(!t.g){if(a=new Ec,null==(e=SDe).a.zc(t,e)){for(n=new LO(xV(t));n.e!=n.i.gc();)wG(a,Zjt(zz(kwt(n),26)));e.a.Bc(t),e.a.gc()}for(i=a.i,!t.s&&(t.s=new nY(jLe,t,21,17)),r=new LO(t.s);r.e!=r.i.gc();++i)sd(zz(kwt(r),449),i);wG(a,(!t.s&&(t.s=new nY(jLe,t,21,17)),t.s)),olt(a),t.g=new bct(t,a),t.i=zz(a.g,247),null==t.i&&(t.i=MDe),t.p=null,S5(t).b&=-5}return t.g}function Ujt(t){var e,i,r,a,o,s,c,u,l,h,f,d,g;if(r=t.i,i=t.n,0==t.b)e=Kyt(t,!1),GZ(t.a[0],r.d+i.d,e[0]),GZ(t.a[2],r.d+r.a-i.a-e[2],e[2]),f=r.a-i.d-i.a,e[0]>0&&(e[0]+=t.c,f-=e[0]),e[2]>0&&(f-=e[2]+t.c),e[1]=n.Math.max(e[1],f),GZ(t.a[1],r.d+i.d+e[0]-(e[1]-f)/2,e[1]);else for(g=r.d+i.d,d=r.a-i.d-i.a,u=0,h=(s=t.a).length;u<h;++u)GZ(a=s[u],g,d);for(c=0,l=(o=t.a).length;c<l;++c)aO(a=o[c],326)&&zz(a,326).Ue()}function Yjt(t){var e,n,i,r,a,o,s,c,u;for(u=P7(LNe,hXt,25,t.b.c.length+1,15,1),c=new Fy,i=0,a=new Kd(t.b);a.a<a.c.c.length;){for(r=zz(t0(a),29),u[i++]=c.a.gc(),s=new Kd(r.a);s.a<s.c.c.length;)for(n=new cU(JO(ddt(zz(t0(s),10)).a.Kc(),new l));bLt(n);)e=zz(Y5(n),17),c.a.zc(e,c);for(o=new Kd(r.a);o.a<o.c.c.length;)for(n=new cU(JO(fdt(zz(t0(o),10)).a.Kc(),new l));bLt(n);)e=zz(Y5(n),17),c.a.Bc(e)}return u}function Gjt(t,e,n,i){var r,a,o,s,c;if(c=sPt(t.e.Tg(),e),r=zz(t.g,119),JT(),zz(e,66).Oj()){for(o=0;o<t.i;++o)if(a=r[o],c.rl(a.ak())&&Pht(a,n))return!0}else if(null!=n){for(s=0;s<t.i;++s)if(a=r[s],c.rl(a.ak())&&Pht(n,a.dd()))return!0;if(i)for(o=0;o<t.i;++o)if(a=r[o],c.rl(a.ak())&&ZM(n)===ZM(lB(t,zz(a.dd(),56))))return!0}else for(o=0;o<t.i;++o)if(a=r[o],c.rl(a.ak())&&null==a.dd())return!1;return!1}function Kjt(t,e,n,i){var r,a,o,s,c,u;if(u=sPt(t.e.Tg(),e),o=zz(t.g,119),OPt(t.e,e)){if(e.hi()&&(a=yzt(t,e,i,aO(e,99)&&0!=(zz(e,18).Bb&qXt)))>=0&&a!=n)throw qw(new $v(s7t));for(r=0,c=0;c<t.i;++c)if(s=o[c],u.rl(s.ak())){if(r==n)return zz(uyt(t,c,(JT(),zz(e,66).Oj()?zz(i,72):J3(e,i))),72);++r}throw qw(new Lv(i8t+n+u7t+r))}for(c=0;c<t.i;++c)if(s=o[c],u.rl(s.ak()))return JT(),zz(e,66).Oj()?s:s.dd();return null}function Wjt(t,e,i,r){var a,o,s,c;for(c=i,s=new Kd(e.a);s.a<s.c.c.length;){if(o=zz(t0(s),221),a=zz(o.b,65),Idt(t.b.c,a.b.c+a.b.b)<=0&&Idt(a.b.c,t.b.c+t.b.b)<=0&&Idt(t.b.d,a.b.d+a.b.a)<=0&&Idt(a.b.d,t.b.d+t.b.a)<=0){if(0==Idt(a.b.c,t.b.c+t.b.b)&&r.a<0||0==Idt(a.b.c+a.b.b,t.b.c)&&r.a>0||0==Idt(a.b.d,t.b.d+t.b.a)&&r.b<0||0==Idt(a.b.d+a.b.a,t.b.d)&&r.b>0){c=0;break}}else c=n.Math.min(c,HAt(t,a,r));c=n.Math.min(c,Wjt(t,o,c,r))}return c}function Xjt(t,e){var n,i,r,a,o,s;if(t.b<2)throw qw(new $v("The vector chain must contain at least a source and a target point."));for(SP(0!=t.b),AL(e,(i=zz(t.a.a.c,8)).a,i.b),s=new aP((!e.a&&(e.a=new DO(PIe,e,5)),e.a)),a=lwt(t,1);a.a<t.b-1;)o=zz(d3(a),8),s.e!=s.i.gc()?n=zz(kwt(s),469):(e_(),upt(s,n=new ac)),EL(n,o.a,o.b);for(;s.e!=s.i.gc();)kwt(s),Vkt(s);SP(0!=t.b),SL(e,(r=zz(t.c.b.c,8)).a,r.b)}function Vjt(t,e){var n,i,r,a,o,s,c,u;for(n=0,i=new Kd((f1(0,t.c.length),zz(t.c[0],101)).g.b.j);i.a<i.c.c.length;)zz(t0(i),11).p=n++;for(e==(kYt(),uMe)?mD(t,new ta):mD(t,new ea),o=0,u=t.c.length-1;o<u;)f1(o,t.c.length),a=zz(t.c[o],101),f1(u,t.c.length),c=zz(t.c[u],101),r=e==uMe?a.c:a.a,s=e==uMe?c.a:c.c,dY(a,e,(Lst(),vue),r),dY(c,e,mue,s),++o,--u;o==u&&dY((f1(o,t.c.length),zz(t.c[o],101)),e,(Lst(),yue),null)}function Qjt(t,e,n){var i,r,a,o,s,c,u,l,h,f;return l=t.a.i+t.a.g/2,h=t.a.i+t.a.g/2,o=new PA(e.i+e.g/2,e.j+e.f/2),(c=zz(tDt(e,(lKt(),bSe)),8)).a=c.a+l,c.b=c.b+h,r=(o.b-c.b)/(o.a-c.a),i=o.b-r*o.a,s=new PA(n.i+n.g/2,n.j+n.f/2),(u=zz(tDt(n,bSe),8)).a=u.a+l,u.b=u.b+h,a=(s.b-u.b)/(s.a-u.a),f=(i-(s.b-a*s.a))/(a-r),!(c.a<f&&o.a<f||f<c.a&&f<o.a||u.a<f&&s.a<f||f<u.a&&f<s.a)}function Jjt(t,e){var n,i,r,a,o,s;if(!(o=zz(FG(t.c,e),183)))throw qw(new nx("Edge did not exist in input."));return i=Vpt(o),!K_((!e.a&&(e.a=new nY(jIe,e,6,6)),e.a))&&(n=new Tz(t,i,s=new Af),gI((!e.a&&(e.a=new 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Kd(t.a);o.a<o.c.c.length;)(a=zz(t0(o),10)).k==(cCt(),Tse)&&((r=zz(vTt(a,Xhe),61))==(kYt(),cMe)?a.n.a+=n.a-e.a:r==CMe&&(a.n.b+=n.b-e.b));s=t.d,t.f.a=n.a-s.b-s.c,t.f.b=n.b-s.d-s.a}function Wzt(t){var e,i,r,a,o,s,c,u,l,h;for(u=new Md(new Ad(BIt(t)).a.vc().Kc());u.a.Ob();){for(r=zz(u.a.Pb(),42),l=0,h=0,l=(c=zz(r.cd(),10)).d.d,h=c.o.b+c.d.a,t.d[c.p]=0,e=c;(a=t.a[e.p])!=c;)i=Cbt(e,a),s=0,s=t.c==(bQ(),tve)?i.d.n.b+i.d.a.b-i.c.n.b-i.c.a.b:i.c.n.b+i.c.a.b-i.d.n.b-i.d.a.b,o=Zv(t.d[e.p])+s,t.d[a.p]=o,l=n.Math.max(l,a.d.d-o),h=n.Math.max(h,o+a.o.b+a.d.a),e=a;e=c;do{t.d[e.p]=Zv(t.d[e.p])+l,e=t.a[e.p]}while(e!=c);t.b[c.p]=l+h}}function Xzt(t){var e,i,r,a,o,s,c,u,l,h,f;for(t.b=!1,h=RXt,c=$Xt,f=RXt,u=$Xt,i=t.e.a.ec().Kc();i.Ob();)for(r=(e=zz(i.Pb(),266)).a,h=n.Math.min(h,r.c),c=n.Math.max(c,r.c+r.b),f=n.Math.min(f,r.d),u=n.Math.max(u,r.d+r.a),o=new Kd(e.c);o.a<o.c.c.length;)(a=zz(t0(o),395)).a.a?(s=(l=r.d+a.b.b)+a.c,f=n.Math.min(f,l),u=n.Math.max(u,s)):(s=(l=r.c+a.b.a)+a.c,h=n.Math.min(h,l),c=n.Math.max(c,s));t.a=new PA(c-h,u-f),t.c=new PA(h+t.d.a,f+t.d.b)}function Vzt(t,e,n){var i,r,a,o,s,c,u,l;for(l=new Nw,a=0,nit(u=new P0(0,n),new sut(0,0,u,n)),r=0,c=new LO(t);c.e!=c.i.gc();)s=zz(kwt(c),33),i=zz(PH(u.a,u.a.c.length-1),187),r+s.g+(0==zz(PH(u.a,0),187).b.c.length?0:n)>e&&(r=0,a+=u.b+n,l.c[l.c.length]=u,nit(u=new P0(a,n),i=new sut(0,u.f,u,n)),r=0),0==i.b.c.length||s.f>=i.o&&s.f<=i.f||.5*i.a<=s.f&&1.5*i.a>=s.f?xdt(i,s):(nit(u,o=new sut(i.s+i.r+n,u.f,u,n)),xdt(o,s)),r=s.i+s.g;return l.c[l.c.length]=u,l}function Qzt(t){var e,n,i,r,a,o;if(!t.a){if(t.o=null,o=new bw(t),e=new Cc,null==(n=SDe).a.zc(t,n)){for(a=new LO(xV(t));a.e!=a.i.gc();)wG(o,Qzt(zz(kwt(a),26)));n.a.Bc(t),n.a.gc()}for(!t.s&&(t.s=new nY(jLe,t,21,17)),r=new LO(t.s);r.e!=r.i.gc();)aO(i=zz(kwt(r),170),322)&&h8(e,zz(i,34));olt(e),t.k=new 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d4(t.e,4,e,n,null,r,!0):OV(t,e.Kj()?2:1,e,n,e.zj(),-1,!0),i?i.Ei(u):i=u),i=TRt(t,c,i)),i}function eqt(t,e,i,r,a,o,s){var c,u,l,h,f,d,g,p;switch(g=0,p=0,u=a.c,c=a.b,h=i.f,d=i.g,e.g){case 0:g=r.i+r.g+s,p=t.c?wEt(g,o,r,s):r.j,f=n.Math.max(u,g+d),l=n.Math.max(c,p+h);break;case 1:p=r.j+r.f+s,g=t.c?bEt(p,o,r,s):r.i,f=n.Math.max(u,g+d),l=n.Math.max(c,p+h);break;case 2:g=u+s,p=0,f=u+s+d,l=n.Math.max(c,h);break;case 3:g=0,p=c+s,f=n.Math.max(u,d),l=c+s+h;break;default:throw qw(new $v("IllegalPlacementOption."))}return new sgt(t.a,f,l,e,g,p)}function nqt(t){var e,i,r,a,o,s,c,u,l,h,f,d;if(c=t.d,f=zz(vTt(t,(hKt(),Rfe)),15),e=zz(vTt(t,Bhe),15),f||e){if(o=Zv(TB(ipt(t,(HGt(),wwe)))),s=Zv(TB(ipt(t,ywe))),d=0,f){for(l=0,a=f.Kc();a.Ob();)r=zz(a.Pb(),10),l=n.Math.max(l,r.o.b),d+=r.o.a;d+=o*(f.gc()-1),c.d+=l+s}if(i=0,e){for(l=0,a=e.Kc();a.Ob();)r=zz(a.Pb(),10),l=n.Math.max(l,r.o.b),i+=r.o.a;i+=o*(e.gc()-1),c.a+=l+s}(u=n.Math.max(d,i))>t.o.a&&(h=(u-t.o.a)/2,c.b=n.Math.max(c.b,h),c.c=n.Math.max(c.c,h))}}function iqt(t){var e,n,i,r,a,o;for(aL(r=new F0,(Pst(),QEe)),i=new Cd(new Qv(new EE(t,_rt(t,P7(Vee,lWt,2,0,6,1))).b));i.b<i.d.gc();)SP(i.b<i.d.gc()),n=CB(i.d.Xb(i.c=i.b++)),(a=yZt(fLe,n))&&null!=(o=tZt(a,(e=UQ(t,n)).je()?e.je().a:e.ge()?""+e.ge().a:e.he()?""+e.he().a:e.Ib()))&&((CN(a.j,(awt(),uTe))||CN(a.j,lTe))&&lct(Vtt(r,YIe),a,o),CN(a.j,sTe)&&lct(Vtt(r,$Ie),a,o),CN(a.j,hTe)&&lct(Vtt(r,GIe),a,o),CN(a.j,cTe)&&lct(Vtt(r,UIe),a,o));return r}function rqt(t,e,n,i){var r,a,o,s,c,u;if(c=sPt(t.e.Tg(),e),a=zz(t.g,119),OPt(t.e,e)){for(r=0,s=0;s<t.i;++s)if(o=a[s],c.rl(o.ak())){if(r==n)return JT(),zz(e,66).Oj()?o:(null!=(u=o.dd())&&i&&aO(e,99)&&0!=(zz(e,18).Bb&qXt)&&(u=zMt(t,e,s,r,u)),u);++r}throw qw(new Lv(i8t+n+u7t+r))}for(r=0,s=0;s<t.i;++s){if(o=a[s],c.rl(o.ak()))return JT(),zz(e,66).Oj()?o:(null!=(u=o.dd())&&i&&aO(e,99)&&0!=(zz(e,18).Bb&qXt)&&(u=zMt(t,e,s,r,u)),u);++r}return e.zj()}function aqt(t,e,n){var i,r,a,o,s,c,u,l;if(r=zz(t.g,119),OPt(t.e,e))return JT(),zz(e,66).Oj()?new fH(e,t):new PM(e,t);for(u=sPt(t.e.Tg(),e),i=0,s=0;s<t.i;++s){if(o=(a=r[s]).ak(),u.rl(o)){if(JT(),zz(e,66).Oj())return a;if(o==(TIt(),fOe)||o==uOe){for(c=new fN(qdt(a.dd()));++s<t.i;)((o=(a=r[s]).ak())==fOe||o==uOe)&&cI(c,qdt(a.dd()));return bR(zz(e.Yj(),148),c.a)}return null!=(l=a.dd())&&n&&aO(e,99)&&0!=(zz(e,18).Bb&qXt)&&(l=zMt(t,e,s,i,l)),l}++i}return e.zj()}function oqt(t,e,i){var r,a,o,s,c,u,l,h,f,d;for(o=0,s=t.t,a=0,r=0,u=0,d=0,f=0,i&&(t.n.c=P7(Dte,HKt,1,0,5,1),Kz(t.n,new FQ(t.s,t.t,t.i))),c=0,h=new Kd(t.b);h.a<h.c.c.length;)o+(l=zz(t0(h),33)).g+(c>0?t.i:0)>e&&u>0&&(o=0,s+=u+t.i,a=n.Math.max(a,d),r+=u+t.i,u=0,d=0,i&&(++f,Kz(t.n,new FQ(t.s,s,t.i))),c=0),d+=l.g+(c>0?t.i:0),u=n.Math.max(u,l.f),i&&lmt(zz(PH(t.n,f),211),l),o+=l.g+(c>0?t.i:0),++c;return a=n.Math.max(a,d),r+=u,i&&(t.r=a,t.d=r,xvt(t.j)),new YW(t.s,t.t,a,r)}function sqt(t,e,n,i,r){var a,o,s,c,u,l,h,f,d;if(DE(),CY(t,"src"),CY(n,"dest"),f=nut(t),c=nut(n),wq(0!=(4&f.i),"srcType is not an array"),wq(0!=(4&c.i),"destType is not an array"),h=f.c,o=c.c,wq(0!=(1&h.i)?h==o:0==(1&o.i),"Array types don't match"),d=t.length,u=n.length,e<0||i<0||r<0||e+r>d||i+r>u)throw qw(new hy);if(0==(1&h.i)&&f!=c)if(l=int(t),a=int(n),ZM(t)===ZM(n)&&e<i)for(e+=r,s=i+r;s-- >i;)DG(a,s,l[--e]);else for(s=i+r;i<s;)DG(a,i++,l[e++]);else r>0&&jAt(t,e,n,i,r,!0)}function cqt(){cqt=I,ane=Ast(Zx(LNe,1),hXt,25,15,[jWt,1162261467,LWt,1220703125,362797056,1977326743,LWt,387420489,DXt,214358881,429981696,815730721,1475789056,170859375,268435456,410338673,612220032,893871739,128e7,1801088541,113379904,148035889,191102976,244140625,308915776,387420489,481890304,594823321,729e6,887503681,LWt,1291467969,1544804416,1838265625,60466176]),one=Ast(Zx(LNe,1),hXt,25,15,[-1,-1,31,19,15,13,11,11,10,9,9,8,8,8,8,7,7,7,7,7,7,7,6,6,6,6,6,6,6,6,6,6,6,6,6,6,5])}function uqt(t){var e,n,i,r,a,o,s;for(i=new Kd(t.b);i.a<i.c.c.length;)for(a=new Kd(o0(zz(t0(i),29).a));a.a<a.c.c.length;)if(Jtt(r=zz(t0(a),10))&&!(n=zz(vTt(r,(hKt(),Fhe)),305)).g&&n.d)for(e=n,s=n.d;s;)iFt(s.i,s.k,!1,!0),L9(e.a),L9(s.i),L9(s.k),L9(s.b),TJ(s.c,e.c.d),TJ(e.c,null),SJ(e.a,null),SJ(s.i,null),SJ(s.k,null),SJ(s.b,null),(o=new y3(e.i,s.a,e.e,s.j,s.f)).k=e.k,o.n=e.n,o.b=e.b,o.c=s.c,o.g=e.g,o.d=s.d,hct(e.i,Fhe,o),hct(s.a,Fhe,o),s=s.d,e=o}function lqt(t,e){var n,i,r,a,o;if(o=zz(e,136),TDt(t),TDt(o),null!=o.b){if(t.c=!0,null==t.b)return t.b=P7(LNe,hXt,25,o.b.length,15,1),void sqt(o.b,0,t.b,0,o.b.length);for(a=P7(LNe,hXt,25,t.b.length+o.b.length,15,1),n=0,i=0,r=0;n<t.b.length||i<o.b.length;)n>=t.b.length?(a[r++]=o.b[i++],a[r++]=o.b[i++]):i>=o.b.length?(a[r++]=t.b[n++],a[r++]=t.b[n++]):o.b[i]<t.b[n]||o.b[i]===t.b[n]&&o.b[i+1]<t.b[n+1]?(a[r++]=o.b[i++],a[r++]=o.b[i++]):(a[r++]=t.b[n++],a[r++]=t.b[n++]);t.b=a}}function hqt(t,e){var n,i,r,a,o,s,c,u,l,h;return n=Hv(EB(vTt(t,(hKt(),ufe)))),s=Hv(EB(vTt(e,ufe))),i=zz(vTt(t,lfe),11),c=zz(vTt(e,lfe),11),r=zz(vTt(t,hfe),11),u=zz(vTt(e,hfe),11),l=!!i&&i==c,h=!!r&&r==u,n||s?(a=(!Hv(EB(vTt(t,ufe)))||Hv(EB(vTt(t,cfe))))&&(!Hv(EB(vTt(e,ufe)))||Hv(EB(vTt(e,cfe)))),o=!(Hv(EB(vTt(t,ufe)))&&Hv(EB(vTt(t,cfe)))||Hv(EB(vTt(e,ufe)))&&Hv(EB(vTt(e,cfe)))),new F$(l&&a||h&&o,l,h)):new F$(zz(t0(new Kd(t.j)),11).p==zz(t0(new Kd(e.j)),11).p,l,h)}function fqt(t){var e,i,r,a,o,s,c,u;for(r=0,i=0,u=new VE,e=0,c=new Kd(t.n);c.a<c.c.c.length;)0==(s=zz(t0(c),211)).c.c.length?r5(u,s,u.c.b,u.c):(r=n.Math.max(r,s.d),i+=s.a+(e>0?t.i:0)),++e;for(egt(t.n,u),t.d=i,t.r=r,t.g=0,t.f=0,t.e=0,t.o=RXt,t.p=RXt,o=new Kd(t.b);o.a<o.c.c.length;)a=zz(t0(o),33),t.p=n.Math.min(t.p,a.g),t.g=n.Math.max(t.g,a.g),t.f=n.Math.max(t.f,a.f),t.o=n.Math.min(t.o,a.f),t.e+=a.f+t.i;t.a=t.e/t.b.c.length-t.i*((t.b.c.length-1)/t.b.c.length),xvt(t.j)}function dqt(t){var e,n,i,r;return 0!=(64&t.Db)?Qft(t):(e=new fN(X5t),(i=t.k)?cI(cI((e.a+=' "',e),i),'"'):(!t.n&&(t.n=new nY(UIe,t,1,7)),t.n.i>0&&(!(r=(!t.n&&(t.n=new nY(UIe,t,1,7)),zz(Wet(t.n,0),137)).a)||cI(cI((e.a+=' "',e),r),'"'))),!t.b&&(t.b=new lR(RIe,t,4,7)),n=!(t.b.i<=1&&(!t.c&&(t.c=new lR(RIe,t,5,8)),t.c.i<=1)),e.a+=n?" [":" ",cI(e,QO(new mx,new LO(t.b))),n&&(e.a+="]"),e.a+=i1t,n&&(e.a+="["),cI(e,QO(new mx,new LO(t.c))),n&&(e.a+="]"),e.a)}function gqt(t,e){var n,i,r,a,o,s,c;if(t.a){if(c=null,null!=(s=t.a.ne())?e.a+=""+s:null!=(o=t.a.Dj())&&(-1!=(a=ZI(o,QEt(91)))?(c=o.substr(a),e.a+=""+hP(null==o?YKt:(xK(o),o),0,a)):e.a+=""+o),t.d&&0!=t.d.i){for(r=!0,e.a+="<",i=new LO(t.d);i.e!=i.i.gc();)n=zz(kwt(i),87),r?r=!1:e.a+=zKt,gqt(n,e);e.a+=">"}null!=c&&(e.a+=""+c)}else t.e?null!=(s=t.e.zb)&&(e.a+=""+s):(e.a+="?",t.b?(e.a+=" super ",gqt(t.b,e)):t.f&&(e.a+=" extends ",gqt(t.f,e)))}function pqt(t,e){var n,i,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x,k,_,E,T;for(v=t.c,x=e.c,n=_9(v.a,t,0),i=_9(x.a,e,0),y=zz(Bgt(t,(sit(),qye)).Kc().Pb(),11),E=zz(Bgt(t,Hye).Kc().Pb(),11),m=zz(Bgt(e,qye).Kc().Pb(),11),T=zz(Bgt(e,Hye).Kc().Pb(),11),b=J0(y.e),k=J0(E.g),w=J0(m.e),_=J0(T.g),Vvt(t,i,x),u=0,d=(a=w).length;u<d;++u)TJ(a[u],y);for(l=0,g=(o=_).length;l<g;++l)CJ(o[l],E);for(Vvt(e,n,v),h=0,p=(s=b).length;h<p;++h)TJ(s[h],m);for(c=0,f=(r=k).length;c<f;++c)CJ(r[c],T)}function bqt(t,e,n,i){var r,a,o,s,c,u;if(a=Wft(i),!Hv(EB(vTt(i,(HGt(),Mbe))))&&!Hv(EB(vTt(t,dbe)))||yL(zz(vTt(t,nwe),98)))switch(AJ(s=new MCt,t),e?((u=s.n).a=e.a-t.n.a,u.b=e.b-t.n.b,WCt(u,0,0,t.o.a,t.o.b),ZAt(s,Y$t(s,a))):(r=hgt(a),ZAt(s,n==(sit(),Hye)?r:Tft(r))),o=zz(vTt(i,(hKt(),Jhe)),21),c=s.j,a.g){case 2:case 1:(c==(kYt(),uMe)||c==CMe)&&o.Fc((gBt(),bhe));break;case 4:case 3:(c==(kYt(),cMe)||c==AMe)&&o.Fc((gBt(),bhe))}else r=hgt(a),s=R$t(t,n,n==(sit(),Hye)?r:Tft(r));return s}function wqt(t,e,i){var r,a,o,s,c,u,l;return n.Math.abs(e.s-e.c)<dJt||n.Math.abs(i.s-i.c)<dJt?0:(r=WNt(t,e.j,i.e),a=WNt(t,i.j,e.e),o=0,-1==r||-1==a?(-1==r&&(new UJ((I6(),Eve),i,e,1),++o),-1==a&&(new UJ((I6(),Eve),e,i,1),++o)):(s=Tht(e.j,i.s,i.c),s+=Tht(i.e,e.s,e.c),c=Tht(i.j,e.s,e.c),(u=r+16*s)<(l=a+16*(c+=Tht(e.e,i.s,i.c)))?new UJ((I6(),Tve),e,i,l-u):u>l?new UJ((I6(),Tve),i,e,u-l):u>0&&l>0&&(new UJ((I6(),Tve),e,i,0),new UJ(Tve,i,e,0))),o)}function yqt(t,e){var i,r,a,o,s;for(s=new cut(new Sd(t.f.b).a);s.b;){if(a=zz((o=nnt(s)).cd(),594),1==e){if(a.gf()!=(zht(),qSe)&&a.gf()!=RSe)continue}else if(a.gf()!=(zht(),$Se)&&a.gf()!=jSe)continue;switch(r=zz(zz(o.dd(),46).b,81),i=zz(zz(o.dd(),46).a,189).c,a.gf().g){case 2:r.g.c=t.e.a,r.g.b=n.Math.max(1,r.g.b+i);break;case 1:r.g.c=r.g.c+i,r.g.b=n.Math.max(1,r.g.b-i);break;case 4:r.g.d=t.e.b,r.g.a=n.Math.max(1,r.g.a+i);break;case 3:r.g.d=r.g.d+i,r.g.a=n.Math.max(1,r.g.a-i)}}}function mqt(t,e){var i,r,a,o,s,c,u,l,h,f,d,g,p,b;for(c=P7(LNe,hXt,25,e.b.c.length,15,1),l=P7(Dse,OWt,267,e.b.c.length,0,1),u=P7(Ise,s1t,10,e.b.c.length,0,1),d=0,g=(f=t.a).length;d<g;++d){for(b=0,s=new Kd((h=f[d]).e);s.a<s.c.c.length;)++c[r=eL((a=zz(t0(s),10)).c)],p=Zv(TB(vTt(e,(HGt(),vwe)))),c[r]>0&&u[r]&&(p=RD(t.b,u[r],a)),b=n.Math.max(b,a.c.c.b+p);for(o=new Kd(h.e);o.a<o.c.c.length;)(a=zz(t0(o),10)).n.b=b+a.d.d,(i=a.c).c.b=b+a.d.d+a.o.b+a.d.a,l[_9(i.b.b,i,0)]=a.k,u[_9(i.b.b,i,0)]=a}}function vqt(t,e){var n,i,r,a,o,s,c,u,h,f,d;for(i=new cU(JO(bOt(e).a.Kc(),new l));bLt(i);)aO(Wet((!(n=zz(Y5(i),79)).b&&(n.b=new lR(RIe,n,4,7)),n.b),0),186)||(c=AEt(zz(Wet((!n.c&&(n.c=new lR(RIe,n,5,8)),n.c),0),82)),eLt(n)||(o=e.i+e.g/2,s=e.j+e.f/2,h=c.i+c.g/2,f=c.j+c.f/2,(d=new Zk).a=h-o,d.b=f-s,Gxt(a=new PA(d.a,d.b),e.g,e.f),d.a-=a.a,d.b-=a.b,o=h-d.a,s=f-d.b,Gxt(u=new PA(d.a,d.b),c.g,c.f),d.a-=u.a,d.b-=u.b,h=o+d.a,f=s+d.b,Int(r=oBt(n,!0,!0),o),Dnt(r,s),Tnt(r,h),Lnt(r,f),vqt(t,c)))}function xqt(t){NT(t,new CEt(yk(gk(wk(bk(new bs,R4t),"ELK SPOrE Compaction"),"ShrinkTree is a compaction algorithm that maintains the topology of a layout. The relocation of diagram elements is based on contracting a spanning tree."),new ns))),s2(t,R4t,$4t,vwt(xEe)),s2(t,R4t,j4t,vwt(yEe)),s2(t,R4t,z4t,vwt(wEe)),s2(t,R4t,q4t,vwt(pEe)),s2(t,R4t,H4t,vwt(bEe)),s2(t,R4t,VQt,gEe),s2(t,R4t,mJt,8),s2(t,R4t,Z4t,vwt(vEe)),s2(t,R4t,U4t,vwt(lEe)),s2(t,R4t,Y4t,vwt(hEe)),s2(t,R4t,K2t,(lN(),!1))}function kqt(t,e){var i,r,a,o,s,c,u,l,h,f;for(LEt(e,"Simple node placement",1),f=zz(vTt(t,(hKt(),Lfe)),304),c=0,o=new Kd(t.b);o.a<o.c.c.length;){for((s=(r=zz(t0(o),29)).c).b=0,i=null,l=new Kd(r.a);l.a<l.c.c.length;)u=zz(t0(l),10),i&&(s.b+=Ipt(u,i,f.c)),s.b+=u.d.d+u.o.b+u.d.a,i=u;c=n.Math.max(c,s.b)}for(a=new Kd(t.b);a.a<a.c.c.length;)for(h=(c-(s=(r=zz(t0(a),29)).c).b)/2,i=null,l=new Kd(r.a);l.a<l.c.c.length;)u=zz(t0(l),10),i&&(h+=Ipt(u,i,f.c)),h+=u.d.d,u.n.b=h,h+=u.o.b+u.d.a,i=u;HCt(e)}function _qt(t,e,n,i){var r,a,o,s,c,u,l,h;if(0==i.gc())return!1;if(JT(),o=(c=zz(e,66).Oj())?i:new wet(i.gc()),OPt(t.e,e)){if(e.hi())for(l=i.Kc();l.Ob();)Gjt(t,e,u=l.Pb(),aO(e,99)&&0!=(zz(e,18).Bb&qXt))||(a=J3(e,u),o.Fc(a));else if(!c)for(l=i.Kc();l.Ob();)a=J3(e,u=l.Pb()),o.Fc(a)}else{for(h=sPt(t.e.Tg(),e),r=zz(t.g,119),s=0;s<t.i;++s)if(a=r[s],h.rl(a.ak()))throw qw(new $v(I9t));if(i.gc()>1)throw qw(new $v(I9t));c||(a=J3(e,i.Kc().Pb()),o.Fc(a))}return uct(t,ESt(t,e,n),o)}function Eqt(t,e){var n,i,r,a;for(Vet(e.b.j),QE(DW(new FH(null,new g1(e.d,16)),new aa),new oa),a=new Kd(e.d);a.a<a.c.c.length;){switch((r=zz(t0(a),101)).e.g){case 0:n=zz(PH(r.j,0),113).d.j,Zf(r,zz(DN(IU(zz(l6(r.k,n),15).Oc(),Xue)),113)),Hf(r,zz(DN(MU(zz(l6(r.k,n),15).Oc(),Xue)),113));break;case 1:i=Hvt(r),Zf(r,zz(DN(IU(zz(l6(r.k,i[0]),15).Oc(),Xue)),113)),Hf(r,zz(DN(MU(zz(l6(r.k,i[1]),15).Oc(),Xue)),113));break;case 2:XSt(t,r);break;case 3:$Nt(r);break;case 4:UNt(t,r)}Xet(r)}t.a=null}function Tqt(t,e,n){var i,r,a,o,s,c,u,l;return i=t.a.o==(cJ(),ave)?RXt:$Xt,!(s=ojt(t,new oA(e,n))).a&&s.c?(Bq(t.d,s),i):s.a?(r=s.a.c,c=s.a.d,n?(u=t.a.c==(bQ(),eve)?c:r,a=t.a.c==eve?r:c,o=t.a.g[a.i.p],l=Zv(t.a.p[o.p])+Zv(t.a.d[a.i.p])+a.n.b+a.a.b-Zv(t.a.d[u.i.p])-u.n.b-u.a.b):(u=t.a.c==(bQ(),tve)?c:r,a=t.a.c==tve?r:c,l=Zv(t.a.p[t.a.g[a.i.p].p])+Zv(t.a.d[a.i.p])+a.n.b+a.a.b-Zv(t.a.d[u.i.p])-u.n.b-u.a.b),t.a.n[t.a.g[r.i.p].p]=(lN(),!0),t.a.n[t.a.g[c.i.p].p]=!0,l):i}function Cqt(t,e,n){var i,r,a,o,s,c,u;if(OPt(t.e,e))JT(),DIt((s=zz(e,66).Oj()?new fH(e,t):new PM(e,t)).c,s.b),JD(s,zz(n,14));else{for(u=sPt(t.e.Tg(),e),i=zz(t.g,119),a=0;a<t.i;++a)if(r=i[a].ak(),u.rl(r)){if(r==(TIt(),fOe)||r==uOe){for(o=a,(c=Lyt(t,e,n))?fBt(t,a):++a;a<t.i;)(r=i[a].ak())==fOe||r==uOe?fBt(t,a):++a;c||zz(uyt(t,o,J3(e,n)),72)}else Lyt(t,e,n)?fBt(t,a):zz(uyt(t,a,(JT(),zz(e,66).Oj()?zz(n,72):J3(e,n))),72);return}Lyt(t,e,n)||h8(t,(JT(),zz(e,66).Oj()?zz(n,72):J3(e,n)))}}function Sqt(t,e,n){var i,r,a,o,s,c,u,l;return Pht(n,t.b)||(t.b=n,a=new Vt,o=zz(S4(DW(new FH(null,new g1(n.f,16)),a),P9(new X,new V,new rt,new at,Ast(Zx(tie,1),OWt,132,0,[(Zut(),Gne),Yne]))),21),t.e=!0,t.f=!0,t.c=!0,t.d=!0,r=o.Hc((Hwt(),zre)),i=o.Hc(qre),r&&!i&&(t.f=!1),!r&&i&&(t.d=!1),r=o.Hc(jre),i=o.Hc(Hre),r&&!i&&(t.c=!1),!r&&i&&(t.e=!1)),l=zz(t.a.Ce(e,n),46),c=zz(l.a,19).a,u=zz(l.b,19).a,s=!1,c<0?t.c||(s=!0):t.e||(s=!0),u<0?t.d||(s=!0):t.f||(s=!0),s?Sqt(t,l,n):l}function Aqt(t){var e,i,r,a;a=t.o,HB(),t.A.dc()||Pht(t.A,Dre)?e=a.b:(e=CMt(t.f),t.A.Hc((vpt(),FMe))&&!t.B.Hc((e$t(),GMe))&&(e=n.Math.max(e,CMt(zz(cW(t.p,(kYt(),cMe)),244))),e=n.Math.max(e,CMt(zz(cW(t.p,AMe),244)))),(i=uot(t))&&(e=n.Math.max(e,i.b)),t.A.Hc(RMe)&&(t.q!=(V_t(),KAe)&&t.q!=GAe||(e=n.Math.max(e,Gq(zz(cW(t.b,(kYt(),cMe)),124))),e=n.Math.max(e,Gq(zz(cW(t.b,AMe),124)))))),Hv(EB(t.e.yf().We((lKt(),jCe))))?a.b=n.Math.max(a.b,e):a.b=e,(r=t.f.i).d=0,r.a=e,Ujt(t.f)}function Mqt(t,e){var n,i,r,a,o,s,c,u,l,h,f,d;for(l=0;l<e.length;l++){for(o=t.Kc();o.Ob();)zz(o.Pb(),225).Of(l,e);for(h=0;h<e[l].length;h++){for(s=t.Kc();s.Ob();)zz(s.Pb(),225).Pf(l,h,e);for(d=e[l][h].j,f=0;f<d.c.length;f++){for(c=t.Kc();c.Ob();)zz(c.Pb(),225).Qf(l,h,f,e);for(f1(f,d.c.length),n=0,r=new m6(zz(d.c[f],11).b);vD(r.a)||vD(r.b);)for(i=zz(vD(r.a)?t0(r.a):t0(r.b),17),u=t.Kc();u.Ob();)zz(u.Pb(),225).Nf(l,h,f,n++,i,e)}}}for(a=t.Kc();a.Ob();)zz(a.Pb(),225).Mf()}function Iqt(t,e){var n,i,r,a,o;for(t.b=Zv(TB(vTt(e,(HGt(),xwe)))),t.c=Zv(TB(vTt(e,Ewe))),t.d=zz(vTt(e,rbe),336),t.a=zz(vTt(e,Spe),275),fmt(e),r=(a=zz(S4(LW(LW(gtt(gtt(new FH(null,new g1(e.b,16)),new vn),new xn),new kn),new _n),m8(new q,new z,new it,Ast(Zx(tie,1),OWt,132,0,[(Zut(),Yne)]))),15)).Kc();r.Ob();)n=zz(r.Pb(),17),zz(vTt(n,(hKt(),Nfe)),15).Jc(new np(t)),hct(n,Nfe,null);for(i=a.Kc();i.Ob();)n=zz(i.Pb(),17),o=zz(vTt(n,(hKt(),Pfe)),17),zGt(t,zz(vTt(n,Dfe),15),o),hct(n,Dfe,null)}function Lqt(t){t.b=null,t.a=null,t.o=null,t.q=null,t.v=null,t.w=null,t.B=null,t.p=null,t.Q=null,t.R=null,t.S=null,t.T=null,t.U=null,t.V=null,t.W=null,t.bb=null,t.eb=null,t.ab=null,t.H=null,t.db=null,t.c=null,t.d=null,t.f=null,t.n=null,t.r=null,t.s=null,t.u=null,t.G=null,t.J=null,t.e=null,t.j=null,t.i=null,t.g=null,t.k=null,t.t=null,t.F=null,t.I=null,t.L=null,t.M=null,t.O=null,t.P=null,t.$=null,t.N=null,t.Z=null,t.cb=null,t.K=null,t.D=null,t.A=null,t.C=null,t._=null,t.fb=null,t.X=null,t.Y=null,t.gb=!1,t.hb=!1}function Dqt(t){var e,n,i,r,a;if(t.k!=(cCt(),Ase))return!1;if(t.j.c.length<=1)return!1;if(zz(vTt(t,(HGt(),nwe)),98)==(V_t(),GAe))return!1;if(gyt(),(i=(t.q?t.q:(CX(),CX(),hne))._b(Fbe)?zz(vTt(t,Fbe),197):zz(vTt(yK(t),Rbe),197))==fye)return!1;if(i!=hye&&i!=lye){if(r=Zv(TB(ipt(t,Nwe))),!(e=zz(vTt(t,Owe),142))&&(e=new qF(r,r,r,r)),a=sdt(t,(kYt(),AMe)),e.d+e.a+(a.gc()-1)*r>t.o.b)return!1;if(n=sdt(t,cMe),e.d+e.a+(n.gc()-1)*r>t.o.b)return!1}return!0}function Oqt(t,e){var n,i,r,a,o,s,c,u,l,h,f,d,g;if(o=t.e,c=e.e,0==o)return e;if(0==c)return t;if((a=t.d)+(s=e.d)==2)return n=n0(t.a[0],GXt),i=n0(e.a[0],GXt),o==c?(g=pZ(l=adt(n,i)),0==(d=pZ(kU(l,32)))?new G6(o,g):new fY(o,2,Ast(Zx(LNe,1),hXt,25,15,[g,d]))):ewt(o<0?rdt(i,n):rdt(n,i));if(o==c)f=o,h=a>=s?N7(t.a,a,e.a,s):N7(e.a,s,t.a,a);else{if(0==(r=a!=s?a>s?1:-1:Cut(t.a,e.a,a)))return LBt(),ine;1==r?(f=o,h=p6(t.a,a,e.a,s)):(f=c,h=p6(e.a,s,t.a,a))}return G0(u=new fY(f,h.length,h)),u}function Nqt(t,e,i,r,a,o,s){var c,u,l,h,f,d,g;return f=Hv(EB(vTt(e,(HGt(),Ibe)))),d=null,o==(sit(),qye)&&r.c.i==i?d=r.c:o==Hye&&r.d.i==i&&(d=r.d),(l=s)&&f&&!d?(Kz(l.e,r),g=n.Math.max(Zv(TB(vTt(l.d,obe))),Zv(TB(vTt(r,obe)))),hct(l.d,obe,g)):(kYt(),h=SMe,d?h=d.j:yL(zz(vTt(i,nwe),98))&&(h=o==qye?AMe:cMe),u=Bqt(t,e,i,o,h,r),c=K5((yK(i),r)),o==qye?(CJ(c,zz(PH(u.j,0),11)),TJ(c,a)):(CJ(c,a),TJ(c,zz(PH(u.j,0),11))),l=new Yht(r,c,u,zz(vTt(u,(hKt(),pfe)),11),o,!d)),JMt(t.a,r,new O$(l.d,e,o)),l}function Pqt(t,e){var 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Fqt(t,e){var n,i,r,a,o,s,c,u,l,h,f,d,g,p;LEt(e,"Orthogonal edge routing",1),u=Zv(TB(vTt(t,(HGt(),Lwe)))),n=Zv(TB(vTt(t,xwe))),i=Zv(TB(vTt(t,Ewe))),f=new hG(0,n),p=0,o=new T2(t.b,0),s=null,l=null,c=null,h=null;do{h=(l=o.b<o.d.gc()?(SP(o.b<o.d.gc()),zz(o.d.Xb(o.c=o.b++),29)):null)?l.a:null,s&&(THt(s,p),p+=s.c.a),g=DZt(f,t,c,h,s?p+i:p),r=!s||WM(c,(bPt(),kve)),a=!l||WM(h,(bPt(),kve)),g>0?(d=(g-1)*n,s&&(d+=i),l&&(d+=i),d<u&&!r&&!a&&(d=u),p+=d):!r&&!a&&(p+=u),s=l,c=h}while(l);t.f.a=p,HCt(e)}function Rqt(){var t;Rqt=I,_Le=new Cm,xLe=P7(Vee,lWt,2,0,6,1),CLe=i0(qst(33,58),qst(1,26)),SLe=i0(qst(97,122),qst(65,90)),ALe=qst(48,57),ELe=i0(CLe,0),TLe=i0(SLe,ALe),MLe=i0(i0(0,qst(1,6)),qst(33,38)),ILe=i0(i0(ALe,qst(65,70)),qst(97,102)),PLe=i0(ELe,bwt("-_.!~*'()")),BLe=i0(TLe,Kgt("-_.!~*'()")),bwt(c8t),Kgt(c8t),i0(PLe,bwt(";:@&=+$,")),i0(BLe,Kgt(";:@&=+$,")),LLe=bwt(":/?#"),DLe=Kgt(":/?#"),OLe=bwt("/?#"),NLe=Kgt("/?#"),(t=new Fy).a.zc("jar",t),t.a.zc("zip",t),t.a.zc("archive",t),CX(),kLe=new Lx(t)}function $qt(t,e){var n,i,r,a,o;if(hct(e,(ZHt(),cxe),0),r=zz(vTt(e,oxe),86),0==e.d.b)r?(o=Zv(TB(vTt(r,hxe)))+t.a+_5(r,e),hct(e,hxe,o)):hct(e,hxe,0);else{for(n=new gb(lwt(new db(e).a.d,0));__(n.a);)$qt(t,zz(d3(n.a),188).c);i=zz(iO(new gb(lwt(new db(e).a.d,0))),86),a=(Zv(TB(vTt(zz(EN(new gb(lwt(new db(e).a.d,0))),86),hxe)))+Zv(TB(vTt(i,hxe))))/2,r?(o=Zv(TB(vTt(r,hxe)))+t.a+_5(r,e),hct(e,hxe,o),hct(e,cxe,Zv(TB(vTt(e,hxe)))-a),IZt(t,e)):hct(e,hxe,a)}}function jqt(t,e){var n,i,r,a,o,s,c,u,l,h,f,d;s=0,d=0,c=EQ(t.f,t.f.length),a=t.d,o=t.i,i=t.a,r=t.b;do{for(f=0,u=new Kd(t.p);u.a<u.c.c.length;)h=LZt(t,zz(t0(u),10)),n=!0,(t.q==(lNt(),Eye)||t.q==Sye)&&(n=Hv(EB(h.b))),zz(h.a,19).a<0&&n?(++f,c=EQ(t.f,t.f.length),t.d=t.d+zz(h.a,19).a,d+=a-t.d,a=t.d+zz(h.a,19).a,o=t.i,i=o0(t.a),r=o0(t.b)):(t.f=EQ(c,c.length),t.d=a,t.a=(vG(i),i?new e$(i):qz(new Kd(i))),t.b=(vG(r),r?new e$(r):qz(new Kd(r))),t.i=o);++s,l=0!=f&&Hv(EB(e.Kb(new rM(rft(d),rft(s)))))}while(l)}function zqt(t,e,i,r){var a,o,s,c,u,l,h,f,d,g,p,b,w,y,m;return o=t.f,f=e.f,s=o==(QOt(),P_e)||o==F_e,c=o==B_e||o==R_e,d=f==B_e||f==R_e,u=o==B_e||o==P_e,g=f==B_e||f==P_e,!s||f!=P_e&&f!=F_e?c&&d?t.f==R_e?t:e:u&&g?(o==B_e?(h=t,l=e):(h=e,l=t),p=i.j+i.f,b=h.e+r.f,w=n.Math.max(p,b)-n.Math.min(i.j,h.e),a=(h.d+r.g-i.i)*w,y=i.i+i.g,m=l.d+r.g,a<=(n.Math.max(y,m)-n.Math.min(i.i,l.d))*(l.e+r.f-i.j)?t.f==B_e?t:e:t.f==P_e?t:e):t:t.f==F_e?t:e}function qqt(t){var e,n,i,r,a,o,s,c,u,l;for(u=t.e.a.c.length,a=new Kd(t.e.a);a.a<a.c.c.length;)zz(t0(a),121).j=!1;for(t.i=P7(LNe,hXt,25,u,15,1),t.g=P7(LNe,hXt,25,u,15,1),t.n=new Nw,r=0,l=new Nw,s=new Kd(t.e.a);s.a<s.c.c.length;)(o=zz(t0(s),121)).d=r++,0==o.b.a.c.length&&Kz(t.n,o),wst(l,o.g);for(e=0,i=new Kd(l);i.a<i.c.c.length;)(n=zz(t0(i),213)).c=e++,n.f=!1;c=l.c.length,null==t.b||t.b.length<c?(t.b=P7(PNe,ZXt,25,c,15,1),t.c=P7(DNe,tQt,25,c,16,1)):tx(t.c),t.d=l,t.p=new ON(net(t.d.c.length)),t.j=1}function Hqt(t,e){var n,i,r,a,o,s,c,u,l;if(!(e.e.c.length<=1)){for(t.f=e,t.d=zz(vTt(t.f,(axt(),yoe)),379),t.g=zz(vTt(t.f,koe),19).a,t.e=Zv(TB(vTt(t.f,moe))),t.c=Zv(TB(vTt(t.f,woe))),aG(t.b),r=new Kd(t.f.c);r.a<r.c.c.length;)i=zz(t0(r),282),xRt(t.b,i.c,i,null),xRt(t.b,i.d,i,null);for(s=t.f.e.c.length,t.a=xH(PNe,[lWt,ZXt],[104,25],15,[s,s],2),u=new Kd(t.f.e);u.a<u.c.c.length;)Mzt(t,c=zz(t0(u),144),t.a[c.b]);for(t.i=xH(PNe,[lWt,ZXt],[104,25],15,[s,s],2),a=0;a<s;++a)for(o=0;o<s;++o)l=1/((n=t.a[a][o])*n),t.i[a][o]=l}}function Zqt(t){var e,n,i,r;if(!(null==t.b||t.b.length<=2||t.a)){for(e=0,r=0;r<t.b.length;){for(e!=r?(t.b[e]=t.b[r++],t.b[e+1]=t.b[r++]):r+=2,n=t.b[e+1];r<t.b.length&&!(n+1<t.b[r]);)if(n+1==t.b[r])t.b[e+1]=t.b[r+1],n=t.b[e+1],r+=2;else if(n>=t.b[r+1])r+=2;else{if(!(n<t.b[r+1]))throw qw(new pv("Token#compactRanges(): Internel Error: ["+t.b[e]+","+t.b[e+1]+"] 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e,n,i,r,a,o,s,c,u,l;if(t.ej())if(l=t.Vi(),c=t.fj(),l>0)if(e=new _at(t.Gi()),a=(n=l)<100?null:new jk(n),QB(t,n,e.g),r=1==n?t.Zi(4,Wet(e,0),null,0,c):t.Zi(6,e,null,-1,c),t.bj()){for(i=new LO(e);i.e!=i.i.gc();)a=t.dj(kwt(i),a);a?(a.Ei(r),a.Fi()):t.$i(r)}else a?(a.Ei(r),a.Fi()):t.$i(r);else QB(t,t.Vi(),t.Wi()),t.$i(t.Zi(6,(CX(),lne),null,-1,c));else if(t.bj())if((l=t.Vi())>0){for(s=t.Wi(),u=l,QB(t,l,s),a=u<100?null:new jk(u),i=0;i<u;++i)o=s[i],a=t.dj(o,a);a&&a.Fi()}else QB(t,t.Vi(),t.Wi());else QB(t,t.Vi(),t.Wi())}function vHt(t,e,n){var i,r,a,o,s,c,u,l,h,f,d;for(s=new Kd(e);s.a<s.c.c.length;)(a=zz(t0(s),233)).e=null,a.c=0;for(c=null,o=new Kd(e);o.a<o.c.c.length;)if(h=(a=zz(t0(o),233)).d[0],!n||h.k==(cCt(),Ase)){for(d=zz(vTt(h,(hKt(),afe)),15).Kc();d.Ob();)f=zz(d.Pb(),10),n&&f.k!=(cCt(),Ase)||((!a.e&&(a.e=new 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LO((!t.a&&(t.a=new nY(YIe,t,10,11)),t.a));f.e!=f.i.gc();)o=new UP(zz(kwt(f),33)),s.c[s.c.length]=o;switch(zz(tDt(t,FTe),311).g){case 3:g=sjt(s,e,h.a,h.b,(u=r,xK(a),u));break;case 1:g=mzt(s,e,h.a,h.b,(l=r,xK(a),l));break;default:g=CHt(s,e,h.a,h.b,(c=r,xK(a),c))}$Yt(t,(d=xGt(new Uet(g),e,i,h.a,h.b,r,(xK(a),a))).a,d.b,!1,!0)}function _Ht(t,e){var n,i,r,a;a=new e$((n=e.b).j),r=0,(i=n.j).c=P7(Dte,HKt,1,0,5,1),nG(zz(wot(t.b,(kYt(),uMe),(Mrt(),Fue)),15),n),r=Jmt(a,r,new Pr,i),nG(zz(wot(t.b,uMe,Bue),15),n),r=Jmt(a,r,new Nr,i),nG(zz(wot(t.b,uMe,Pue),15),n),nG(zz(wot(t.b,cMe,Fue),15),n),nG(zz(wot(t.b,cMe,Bue),15),n),r=Jmt(a,r,new Br,i),nG(zz(wot(t.b,cMe,Pue),15),n),nG(zz(wot(t.b,CMe,Fue),15),n),r=Jmt(a,r,new Fr,i),nG(zz(wot(t.b,CMe,Bue),15),n),r=Jmt(a,r,new Rr,i),nG(zz(wot(t.b,CMe,Pue),15),n),nG(zz(wot(t.b,AMe,Fue),15),n),r=Jmt(a,r,new Xr,i),nG(zz(wot(t.b,AMe,Bue),15),n),nG(zz(wot(t.b,AMe,Pue),15),n)}function EHt(t,e){var i,r,a,o,s,c,u,l,h,f,d,g,p,b;for(LEt(e,"Layer size 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Kd(s.j);d.a<d.c.c.length;)0==(f=zz(t0(d),11)).e.c.length||++i,0==f.g.c.length||++h;g=i+h==0?.5:h/(i+h)}b=t.c,l=s.o.a,w=(b.a-l)*g,g>.5?w-=2*o*(g-.5):g<.5&&(w+=2*a*(.5-g)),w<(r=s.d.b)&&(w=r),p=s.d.c,w>b.a-p-l&&(w=b.a-p-l),s.n.a=e+w}}function CHt(t,e,n,i,r){var a,o,s,c,u,l,h,f,d;for(s=P7(PNe,ZXt,25,t.c.length,15,1),rxt(f=new GU(new Gs),t),u=0,d=new Nw;0!=f.b.c.length;)if(o=zz(0==f.b.c.length?null:PH(f.b,0),157),u>1&&iZ(o)*nZ(o)/2>s[0]){for(a=0;a<d.c.length-1&&iZ(o)*nZ(o)/2>s[a];)++a;h=new Uet(new u1(d,0,a+1)),l=iZ(o)/nZ(o),c=xGt(h,e,new dm,n,i,r,l),YF(xI(h.e),c),j7(iTt(f,h)),rxt(f,new u1(d,a+1,d.c.length)),d.c=P7(Dte,HKt,1,0,5,1),u=0,kZ(s,s.length,0)}else null!=(0==f.b.c.length?null:PH(f.b,0))&&hrt(f,0),u>0&&(s[u]=s[u-1]),s[u]+=iZ(o)*nZ(o),++u,d.c[d.c.length]=o;return d}function SHt(t){var e,n,i;if((n=zz(vTt(t,(HGt(),xbe)),163))==(Tdt(),jfe)){for(e=new cU(JO(fdt(t).a.Kc(),new l));bLt(e);)if(!G5(zz(Y5(e),17)))throw qw(new rx(A1t+wvt(t)+"' has its layer constraint set to FIRST_SEPARATE, but 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n.e&&(this.e=Uz(n.e),this.e.Mc(e));this.f=e.f+n.f,this.a=e.a+n.a,this.a>0?Jet(this,this.f/this.a):null!=fO(e.g,e.d[0]).a&&null!=fO(n.g,n.d[0]).a?Jet(this,(Zv(fO(e.g,e.d[0]).a)+Zv(fO(n.g,n.d[0]).a))/2):null!=fO(e.g,e.d[0]).a?Jet(this,fO(e.g,e.d[0]).a):null!=fO(n.g,n.d[0]).a&&Jet(this,fO(n.g,n.d[0]).a)}function uZt(t,e){var n,i,r,a,o,s,c,u,l;for(t.a=new zG(Oat(KSe)),i=new Kd(e.a);i.a<i.c.c.length;){for(n=zz(t0(i),841),o=new Abt(Ast(Zx(Xoe,1),HKt,81,0,[])),Kz(t.a.a,o),c=new Kd(n.d);c.a<c.c.c.length;)zZt(u=new NN(t,s=zz(t0(c),110)),zz(vTt(n.c,(hKt(),Ghe)),21)),lY(t.g,n)||(WK(t.g,n,new PA(s.c,s.d)),WK(t.f,n,u)),Kz(t.a.b,u),b2(o,u);for(a=new Kd(n.b);a.a<a.c.c.length;)u=new NN(t,(r=zz(t0(a),594)).kf()),WK(t.b,r,new rM(o,u)),zZt(u,zz(vTt(n.c,(hKt(),Ghe)),21)),r.hf()&&(zZt(l=new Sbt(t,r.hf(),1),zz(vTt(n.c,Ghe),21)),b2(new Abt(Ast(Zx(Xoe,1),HKt,81,0,[])),l),JMt(t.c,r.gf(),new rM(o,l)))}return t.a}function lZt(t){var e;this.a=t,e=(cCt(),Ast(Zx(Dse,1),OWt,267,0,[Ase,Sse,Tse,Mse,Cse,Ese])).length,this.b=xH(fTe,[lWt,k3t],[593,146],0,[e,e],2),this.c=xH(fTe,[lWt,k3t],[593,146],0,[e,e],2),jV(this,Ase,(HGt(),Iwe),Lwe),nst(this,Ase,Sse,_we,Ewe),$V(this,Ase,Mse,_we),$V(this,Ase,Tse,_we),nst(this,Ase,Cse,Iwe,Lwe),jV(this,Sse,vwe,xwe),$V(this,Sse,Mse,vwe),$V(this,Sse,Tse,vwe),nst(this,Sse,Cse,_we,Ewe),JL(this,Mse,vwe),$V(this,Mse,Tse,vwe),$V(this,Mse,Cse,Swe),JL(this,Tse,Nwe),nst(this,Tse,Cse,Mwe,Awe),jV(this,Cse,vwe,vwe),jV(this,Ese,vwe,xwe),nst(this,Ese,Ase,_we,Ewe),nst(this,Ese,Cse,_we,Ewe),nst(this,Ese,Sse,_we,Ewe)}function hZt(t,e,n){var i,r,a,o,s,c,u,l,h,f,d,g,p,b;if(aO(o=n.ak(),99)&&0!=(zz(o,18).Bb&qXt)&&(f=zz(n.dd(),49),(p=nht(t.e,f))!=f)){if(kO(t,e,lEt(t,e,l=J3(o,p))),h=null,mL(t.e)&&(i=zHt((ISt(),JDe),t.e.Tg(),o))!=iet(t.e.Tg(),t.c)){for(b=sPt(t.e.Tg(),o),s=0,a=zz(t.g,119),c=0;c<e;++c)r=a[c],b.rl(r.ak())&&++s;(h=new d4(t.e,9,i,f,p,s,!1)).Ei(new N9(t.e,9,t.c,n,l,e,!1))}return(d=Myt(g=zz(o,18)))?(h=f.ih(t.e,Dgt(f.Tg(),d),null,h),h=zz(p,49).gh(t.e,Dgt(p.Tg(),d),null,h)):0!=(g.Bb&h6t)&&(u=-1-Dgt(t.e.Tg(),g),h=f.ih(t.e,u,null,null),!zz(p,49).eh()&&(h=zz(p,49).gh(t.e,u,null,h))),h&&h.Fi(),l}return n}function fZt(t){var e,i,r,a,o,s,c,u;for(o=new Kd(t.a.b);o.a<o.c.c.length;)(a=zz(t0(o),81)).b.c=a.g.c,a.b.d=a.g.d;for(u=new PA(RXt,RXt),e=new PA($Xt,$Xt),r=new Kd(t.a.b);r.a<r.c.c.length;)i=zz(t0(r),81),u.a=n.Math.min(u.a,i.g.c),u.b=n.Math.min(u.b,i.g.d),e.a=n.Math.max(e.a,i.g.c+i.g.b),e.b=n.Math.max(e.b,i.g.d+i.g.a);for(c=EG(t.c).a.nc();c.Ob();)s=zz(c.Pb(),46),i=zz(s.b,81),u.a=n.Math.min(u.a,i.g.c),u.b=n.Math.min(u.b,i.g.d),e.a=n.Math.max(e.a,i.g.c+i.g.b),e.b=n.Math.max(e.b,i.g.d+i.g.a);t.d=HP(new PA(u.a,u.b)),t.e=GF(new PA(e.a,e.b),u),t.a.a.c=P7(Dte,HKt,1,0,5,1),t.a.b.c=P7(Dte,HKt,1,0,5,1)}function dZt(t){var e,n,i;for(kut(fLe,Ast(Zx($ie,1),HKt,130,0,[new Oh])),n=new Ef(t),i=0;i<n.a.length;++i)mR(e=ptt(n,i).je().a,"layered")?kut(fLe,Ast(Zx($ie,1),HKt,130,0,[new uh])):mR(e,"force")?kut(fLe,Ast(Zx($ie,1),HKt,130,0,[new Ul])):mR(e,"stress")?kut(fLe,Ast(Zx($ie,1),HKt,130,0,[new Gl])):mR(e,"mrtree")?kut(fLe,Ast(Zx($ie,1),HKt,130,0,[new Ch])):mR(e,"radial")?kut(fLe,Ast(Zx($ie,1),HKt,130,0,[new mh])):mR(e,"disco")?kut(fLe,Ast(Zx($ie,1),HKt,130,0,[new Zl,new ql])):mR(e,"sporeOverlap")||mR(e,"sporeCompaction")?kut(fLe,Ast(Zx($ie,1),HKt,130,0,[new _h])):mR(e,"rectpacking")&&kut(fLe,Ast(Zx($ie,1),HKt,130,0,[new Mh]))}function gZt(t,e,n){var i,r,a,o,s,c,u,l,h,f,d,g,p,b,w;if(f=new gL(t.o),w=e.a/f.a,s=e.b/f.b,p=e.a-f.a,a=e.b-f.b,n)for(r=ZM(vTt(t,(HGt(),nwe)))===ZM((V_t(),GAe)),g=new Kd(t.j);g.a<g.c.c.length;)switch((d=zz(t0(g),11)).j.g){case 1:r||(d.n.a*=w);break;case 2:d.n.a+=p,r||(d.n.b*=s);break;case 3:r||(d.n.a*=w),d.n.b+=a;break;case 4:r||(d.n.b*=s)}for(u=new Kd(t.b);u.a<u.c.c.length;)l=(c=zz(t0(u),70)).n.a+c.o.a/2,h=c.n.b+c.o.b/2,(b=l/f.a)+(o=h/f.b)>=1&&(b-o>0&&h>=0?(c.n.a+=p,c.n.b+=a*o):b-o<0&&l>=0&&(c.n.a+=p*b,c.n.b+=a));t.o.a=e.a,t.o.b=e.b,hct(t,(HGt(),jbe),(vpt(),new VR(i=zz(Wk(VMe),9),zz(CF(i,i.length),9),0)))}function pZt(t,e,n,i,r,a){if(null!=e&&Kdt(e,LLe,DLe))throw qw(new $v("invalid scheme: "+e));if(!(t||null!=n&&-1==ZI(n,QEt(35))&&n.length>0&&(d1(0,n.length),47!=n.charCodeAt(0))))throw qw(new $v("invalid opaquePart: "+n));if(t&&(null==e||!PE(kLe,e.toLowerCase()))&&null!=n&&Kdt(n,OLe,NLe))throw qw(new $v(u8t+n));if(t&&null!=e&&PE(kLe,e.toLowerCase())&&!M_t(n))throw qw(new $v(u8t+n));if(!Gdt(i))throw qw(new $v("invalid device: "+i));if(!Rlt(r))throw qw(new $v(null==r?"invalid segments: null":"invalid segment: "+llt(r)));if(null!=a&&-1!=ZI(a,QEt(35)))throw qw(new $v("invalid query: "+a))}function bZt(t,e){var i,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y;for(LEt(e,"Calculate Graph Size",1),e.n&&t&&v0(e,c2(t),(qut(),sIe)),c=tJt,u=tJt,o=e4t,s=e4t,f=new LO((!t.a&&(t.a=new nY(YIe,t,10,11)),t.a));f.e!=f.i.gc();)p=(l=zz(kwt(f),33)).i,b=l.j,y=l.g,r=l.f,a=zz(tDt(l,(lKt(),DCe)),142),c=n.Math.min(c,p-a.b),u=n.Math.min(u,b-a.d),o=n.Math.max(o,p+y+a.c),s=n.Math.max(s,b+r+a.a);for(d=new PA(c-(g=zz(tDt(t,(lKt(),GCe)),116)).b,u-g.d),h=new LO((!t.a&&(t.a=new nY(YIe,t,10,11)),t.a));h.e!=h.i.gc();)Ant(l=zz(kwt(h),33),l.i-d.a),Mnt(l,l.j-d.b);w=o-c+(g.b+g.c),i=s-u+(g.d+g.a),Snt(t,w),Cnt(t,i),e.n&&t&&v0(e,c2(t),(qut(),sIe))}function wZt(t){var e,n,i,r,a,o,s,c,u,l;for(i=new Nw,o=new Kd(t.e.a);o.a<o.c.c.length;){for(l=0,(r=zz(t0(o),121)).k.c=P7(Dte,HKt,1,0,5,1),n=new Kd(kdt(r));n.a<n.c.c.length;)(e=zz(t0(n),213)).f&&(Kz(r.k,e),++l);1==l&&(i.c[i.c.length]=r)}for(a=new Kd(i);a.a<a.c.c.length;)for(r=zz(t0(a),121);1==r.k.c.length;){for(u=zz(t0(new Kd(r.k)),213),t.b[u.c]=u.g,s=u.d,c=u.e,n=new Kd(kdt(r));n.a<n.c.c.length;)Pht(e=zz(t0(n),213),u)||(e.f?s==e.d||c==e.e?t.b[u.c]-=t.b[e.c]-e.g:t.b[u.c]+=t.b[e.c]-e.g:r==s?e.d==r?t.b[u.c]+=e.g:t.b[u.c]-=e.g:e.d==r?t.b[u.c]-=e.g:t.b[u.c]+=e.g);v9(s.k,u),v9(c.k,u),r=s==r?u.e:u.d}}function yZt(t,e){var n,i,r,a,o,s,c,u,l,h,f;if(null==e||0==e.length)return null;if(!(a=zz(CQ(t.f,e),23))){for(r=new Rd(new Id(t.d).a.vc().Kc());r.a.Ob();)if(o=zz(r.a.Pb(),42),s=(n=zz(o.dd(),23)).f,f=e.length,mR(s.substr(s.length-f,f),e)&&(e.length==s.length||46==hW(s,s.length-e.length-1))){if(a)return null;a=n}if(!a)for(i=new Rd(new Id(t.d).a.vc().Kc());i.a.Ob();)if(o=zz(i.a.Pb(),42),null!=(h=(n=zz(o.dd(),23)).g))for(u=0,l=(c=h).length;u<l;++u)if(s=c[u],f=e.length,mR(s.substr(s.length-f,f),e)&&(e.length==s.length||46==hW(s,s.length-e.length-1))){if(a)return null;a=n}a&&mJ(t.f,e,a)}return a}function mZt(t,e){var n,i,r,a,o;for(n=new Mx,o=!1,a=0;a<e.length;a++)if(d1(a,e.length),32!=(i=e.charCodeAt(a)))o?39==i?a+1<e.length&&(d1(a+1,e.length),39==e.charCodeAt(a+1))?(n.a+=String.fromCharCode(i),++a):o=!1:n.a+=String.fromCharCode(i):ZI("GyMLdkHmsSEcDahKzZv",QEt(i))>0?(Awt(t,n,0),n.a+=String.fromCharCode(i),Awt(t,n,r=obt(e,a)),a+=r-1):39==i?a+1<e.length&&(d1(a+1,e.length),39==e.charCodeAt(a+1))?(n.a+="'",++a):o=!0:n.a+=String.fromCharCode(i);else for(Awt(t,n,0),n.a+=" ",Awt(t,n,0);a+1<e.length&&(d1(a+1,e.length),32==e.charCodeAt(a+1));)++a;Awt(t,n,0),yEt(t)}function vZt(t,e,i){var r,a,o,s,c,u,l,h,f,d,g,p,b,w;if(LEt(i,"Network simplex layering",1),t.b=e,w=4*zz(vTt(e,(HGt(),Pwe)),19).a,(b=t.b.a).c.length<1)HCt(i);else{for(p=null,a=lwt(o=IRt(t,b),0);a.b!=a.d.c;){for(r=zz(d3(a),15),c=w*AQ(n.Math.sqrt(r.gc())),WRt(Xx(Qx(Vx(z$(s=u$t(r)),c),p),!0),vat(i,1)),f=t.b.b,g=new Kd(s.a);g.a<g.c.c.length;){for(d=zz(t0(g),121);f.c.length<=d.e;)xZ(f,f.c.length,new qG(t.b));SJ(zz(d.f,10),zz(PH(f,d.e),29))}if(o.b>1)for(p=P7(LNe,hXt,25,t.b.b.c.length,15,1),h=0,l=new Kd(t.b.b);l.a<l.c.c.length;)u=zz(t0(l),29),p[h++]=u.a.c.length}b.c=P7(Dte,HKt,1,0,5,1),t.a=null,t.b=null,t.c=null,HCt(i)}}function xZt(t){var e,i,r,a,o,s,c;for(e=0,o=new Kd(t.b.a);o.a<o.c.c.length;)(r=zz(t0(o),189)).b=0,r.c=0;for(ECt(t,0),igt(t,t.g),kNt(t.c),Jv(t.c),zht(),i=$Se,FRt(nI(CUt(FRt(nI(CUt(FRt(CUt(t.c,i)),_ft(i)))),i))),CUt(t.c,$Se),qft(t,t.g),kTt(t,0),yqt(t,0),CDt(t,1),ECt(t,1),igt(t,t.d),kNt(t.c),s=new Kd(t.b.a);s.a<s.c.c.length;)r=zz(t0(s),189),e+=n.Math.abs(r.c);for(c=new Kd(t.b.a);c.a<c.c.c.length;)(r=zz(t0(c),189)).b=0,r.c=0;for(i=qSe,FRt(nI(CUt(FRt(nI(CUt(FRt(Jv(CUt(t.c,i))),_ft(i)))),i))),CUt(t.c,$Se),qft(t,t.d),kTt(t,1),yqt(t,1),CDt(t,0),Jv(t.c),a=new Kd(t.b.a);a.a<a.c.c.length;)r=zz(t0(a),189),e+=n.Math.abs(r.c);return e}function kZt(t,e){var n,i,r,a,o,s,c,u,l;if(null!=(u=e).b&&null!=t.b){for(TDt(t),Zqt(t),TDt(u),Zqt(u),n=P7(LNe,hXt,25,t.b.length+u.b.length,15,1),l=0,i=0,o=0;i<t.b.length&&o<u.b.length;)if(r=t.b[i],a=t.b[i+1],s=u.b[o],c=u.b[o+1],a<s)i+=2;else if(a>=s&&r<=c)s<=r&&a<=c?(n[l++]=r,n[l++]=a,i+=2):s<=r?(n[l++]=r,n[l++]=c,t.b[i]=c+1,o+=2):a<=c?(n[l++]=s,n[l++]=a,i+=2):(n[l++]=s,n[l++]=c,t.b[i]=c+1);else{if(!(c<r))throw qw(new pv("Token#intersectRanges(): Internal Error: ["+t.b[i]+","+t.b[i+1]+"] & ["+u.b[o]+","+u.b[o+1]+"]"));o+=2}for(;i<t.b.length;)n[l++]=t.b[i++],n[l++]=t.b[i++];t.b=P7(LNe,hXt,25,l,15,1),sqt(n,0,t.b,0,l)}}function _Zt(t){var e,i,r,a,o,s,c;for(e=new Nw,t.g=new Nw,t.d=new Nw,s=new cut(new Sd(t.f.b).a);s.b;)Kz(e,zz(zz((o=nnt(s)).dd(),46).b,81)),pL(zz(o.cd(),594).gf())?Kz(t.d,zz(o.dd(),46)):Kz(t.g,zz(o.dd(),46));for(igt(t,t.d),igt(t,t.g),t.c=new lIt(t.b),nk(t.c,(yT(),Zoe)),qft(t,t.d),qft(t,t.g),wst(e,t.c.a.b),t.e=new PA(RXt,RXt),t.a=new PA($Xt,$Xt),r=new Kd(e);r.a<r.c.c.length;)i=zz(t0(r),81),t.e.a=n.Math.min(t.e.a,i.g.c),t.e.b=n.Math.min(t.e.b,i.g.d),t.a.a=n.Math.max(t.a.a,i.g.c+i.g.b),t.a.b=n.Math.max(t.a.b,i.g.d+i.g.a);ek(t.c,new xe),c=0;do{a=xZt(t),++c}while((c<2||a>$Wt)&&c<10);ek(t.c,new ke),xZt(t),MY(t.c),fZt(t.f)}function EZt(t,e,n){var i,r,a,o,s,c,u,l,h,f;if(Hv(EB(vTt(n,(HGt(),gbe)))))for(r=new Kd(n.j);r.a<r.c.c.length;)for(s=0,c=(o=J0(zz(t0(r),11).g)).length;s<c;++s)(a=o[s]).d.i==n&&Hv(EB(vTt(a,pbe)))&&(l=a.c,(u=zz(FG(t.b,l),10))||(hct(u=gGt(l,(V_t(),XAe),l.j,-1,null,null,l.o,zz(vTt(e,Ype),103),e),(hKt(),pfe),l),WK(t.b,l,u),Kz(e.a,u)),f=a.d,(h=zz(FG(t.b,f),10))||(hct(h=gGt(f,(V_t(),XAe),f.j,1,null,null,f.o,zz(vTt(e,Ype),103),e),(hKt(),pfe),f),WK(t.b,f,h),Kz(e.a,h)),CJ(i=K5(a),zz(PH(u.j,0),11)),TJ(i,zz(PH(h.j,0),11)),JMt(t.a,a,new O$(i,e,(sit(),Hye))),zz(vTt(e,(hKt(),Jhe)),21).Fc((gBt(),fhe)))}function TZt(t,e,n){var i,r,a,o,s,c,u,l,h,f,d,g;for(LEt(n,"Label dummy 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n,i,r,a,o,s,c,u,h;for(s=!0,r=0,c=t.f[e.p],u=e.o.b+t.n,n=t.c[e.p][2],a5(t.a,c,rft(zz(PH(t.a,c),19).a-1+n)),a5(t.b,c,Zv(TB(PH(t.b,c)))-u+n*t.e),++c>=t.i?(++t.i,Kz(t.a,rft(1)),Kz(t.b,u)):(i=t.c[e.p][1],a5(t.a,c,rft(zz(PH(t.a,c),19).a+1-i)),a5(t.b,c,Zv(TB(PH(t.b,c)))+u-i*t.e)),(t.q==(lNt(),Eye)&&(zz(PH(t.a,c),19).a>t.j||zz(PH(t.a,c-1),19).a>t.j)||t.q==Sye&&(Zv(TB(PH(t.b,c)))>t.k||Zv(TB(PH(t.b,c-1)))>t.k))&&(s=!1),a=new cU(JO(fdt(e).a.Kc(),new l));bLt(a);)o=zz(Y5(a),17).c.i,t.f[o.p]==c&&(r+=zz((h=LZt(t,o)).a,19).a,s=s&&Hv(EB(h.b)));return t.f[e.p]=c,new rM(rft(r+=t.c[e.p][0]),(lN(),!!s))}function DZt(t,e,i,r,a){var o,s,c,u,l,h,f,d,g,p,b,w,y;for(f=new Pw,s=new Nw,aMt(t,i,t.d.fg(),s,f),aMt(t,r,t.d.gg(),s,f),t.b=.2*(b=qLt(gtt(new FH(null,new g1(s,16)),new So)),w=qLt(gtt(new FH(null,new g1(s,16)),new 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lZt(e),hct(e,(hKt(),Lfe),i),l2(t.a),AY(t.a,(xTt(),Foe),zz(vTt(e,Zpe),246)),AY(t.a,Roe,zz(vTt(e,Sbe),246)),AY(t.a,$oe,zz(vTt(e,Hpe),246)),AY(t.a,joe,zz(vTt(e,$be),246)),AY(t.a,zoe,Sot(zz(vTt(e,Jpe),218))),oL(t.a,NGt(e)),hct(e,Tfe,OHt(t.a,e))}function NZt(t,e,n){var i,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x;return f=t.c[e],d=t.c[n],!((g=zz(vTt(f,(hKt(),afe)),15))&&0!=g.gc()&&g.Hc(d)||(p=f.k!=(cCt(),Sse)&&d.k!=Sse,y=(b=zz(vTt(f,rfe),10))!=(w=zz(vTt(d,rfe),10)),m=!!b&&b!=f||!!w&&w!=d,v=umt(f,(kYt(),uMe)),x=umt(d,CMe),m|=umt(f,CMe)||umt(d,uMe),p&&(m&&y||v||x))||f.k==(cCt(),Mse)&&d.k==Ase||d.k==(cCt(),Mse)&&f.k==Ase)&&(l=t.c[e],a=t.c[n],r=fkt(t.e,l,a,(kYt(),AMe)),c=fkt(t.i,l,a,cMe),TNt(t.f,l,a),u=Put(t.b,l,a)+zz(r.a,19).a+zz(c.a,19).a+t.f.d,s=Put(t.b,a,l)+zz(r.b,19).a+zz(c.b,19).a+t.f.b,t.a&&(h=zz(vTt(l,pfe),11),o=zz(vTt(a,pfe),11),u+=zz((i=Zvt(t.g,h,o)).a,19).a,s+=zz(i.b,19).a),u>s)}function PZt(t,e){var i,r,a,o,s,c,u,l,h,f,d,g,p,b;for(i=zz(vTt(t,(HGt(),nwe)),98),s=t.f,o=t.d,c=s.a+o.b+o.c,u=0-o.d-t.c.b,h=s.b+o.d+o.a-t.c.b,l=new Nw,f=new Nw,a=new Kd(e);a.a<a.c.c.length;){switch(r=zz(t0(a),10),i.g){case 1:case 2:case 3:jNt(r);break;case 4:g=(d=zz(vTt(r,twe),8))?d.a:0,r.n.a=c*Zv(TB(vTt(r,(hKt(),Efe))))-g,Jot(r,!0,!1);break;case 5:b=(p=zz(vTt(r,twe),8))?p.a:0,r.n.a=Zv(TB(vTt(r,(hKt(),Efe))))-b,Jot(r,!0,!1),s.a=n.Math.max(s.a,r.n.a+r.o.a/2)}switch(zz(vTt(r,(hKt(),Xhe)),61).g){case 1:r.n.b=u,l.c[l.c.length]=r;break;case 3:r.n.b=h,f.c[f.c.length]=r}}switch(i.g){case 1:case 2:Rht(l,t),Rht(f,t);break;case 3:$ht(l,t),$ht(f,t)}}function BZt(t,e){var n,i,r,a,o,s,c,u,l,h;for(l=new Nw,h=new Ow,a=null,r=0,i=0;i<e.length;++i)switch(Rut(a,n=e[i])&&(r=Mpt(t,h,l,Rme,r)),OP(n,(hKt(),rfe))&&(a=zz(vTt(n,rfe),10)),n.k.g){case 0:for(c=HL(Rz(sdt(n,(kYt(),uMe)),new Pa));trt(c);)o=zz(S9(c),11),t.d[o.p]=r++,l.c[l.c.length]=o;for(r=Mpt(t,h,l,Rme,r),u=HL(Rz(sdt(n,CMe),new 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n,i,r,a,o,s,c,u,l,h,f,d;if(t.c=t.d,f=null==(d=EB(vTt(e,(HGt(),pwe))))||(xK(d),d),a=zz(vTt(e,(hKt(),Jhe)),21).Hc((gBt(),fhe)),n=!((r=zz(vTt(e,nwe),98))==(V_t(),YAe)||r==KAe||r==GAe),!f||!n&&a)h=new Qv(Ast(Zx(kse,1),JJt,37,0,[e]));else{for(l=new Kd(e.a);l.a<l.c.c.length;)zz(t0(l),10).p=0;for(h=new Nw,u=new Kd(e.a);u.a<u.c.c.length;)if(i=N$t(t,zz(t0(u),10),null)){for(Zot(c=new vit,e),hct(c,Ghe,zz(i.b,21)),xX(c.d,e.d),hct(c,qbe,null),s=zz(i.a,15).Kc();s.Ob();)o=zz(s.Pb(),10),Kz(c.a,o),o.a=c;h.Fc(c)}a&&(ZM(vTt(e,Ape))===ZM((qht(),fse))?t.c=t.b:t.c=t.a)}return ZM(vTt(e,Ape))!==ZM((qht(),gse))&&(CX(),h.ad(new Ne)),h}function $Zt(t){NT(t,new CEt(mk(pk(yk(gk(wk(bk(new bs,V3t),"ELK Mr. Tree"),"Tree-based algorithm provided by the Eclipse Layout Kernel. 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e,n,i,r,a,o,s;if(!t.A.dc()){if(t.A.Hc((vpt(),RMe))&&(zz(cW(t.b,(kYt(),uMe)),124).k=!0,zz(cW(t.b,CMe),124).k=!0,e=t.q!=(V_t(),KAe)&&t.q!=GAe,Nf(zz(cW(t.b,cMe),124),e),Nf(zz(cW(t.b,AMe),124),e),Nf(t.g,e),t.A.Hc($Me)&&(zz(cW(t.b,uMe),124).j=!0,zz(cW(t.b,CMe),124).j=!0,zz(cW(t.b,cMe),124).k=!0,zz(cW(t.b,AMe),124).k=!0,t.g.k=!0)),t.A.Hc(FMe))for(t.a.j=!0,t.a.k=!0,t.g.j=!0,t.g.k=!0,s=t.B.Hc((e$t(),GMe)),a=0,o=(r=nwt()).length;a<o;++a)i=r[a],(n=zz(cW(t.i,i),306))&&(sbt(i)?(n.j=!0,n.k=!0):(n.j=!s,n.k=!s));t.A.Hc(BMe)&&t.B.Hc((e$t(),YMe))&&(t.g.j=!0,t.g.j=!0,t.a.j||(t.a.j=!0,t.a.k=!0,t.a.e=!0))}}function VZt(t){var e,n,i,r,a,o,s,c,u,l,h,f,d,g,p;for(n=new Kd(t.e.b);n.a<n.c.c.length;)for(r=new Kd(zz(t0(n),29).a);r.a<r.c.c.length;)if(i=zz(t0(r),10),c=(h=t.i[i.p]).a.e,s=h.d.e,i.n.b=c,p=s-c-i.o.b,e=Dqt(i),gyt(),l=(i.q?i.q:(CX(),CX(),hne))._b((HGt(),Fbe))?zz(vTt(i,Fbe),197):zz(vTt(yK(i),Rbe),197),e&&(l==hye||l==lye)&&(i.o.b+=p),e&&(l==dye||l==hye||l==lye)){for(d=new 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Kd(t);f.a<f.c.c.length;){for(tP((h=zz(t0(f),10)).n),tP(h.o),W6(h.f),XFt(h),sFt(h),g=new Kd(h.j);g.a<g.c.c.length;){for(tP((d=zz(t0(g),11)).n),tP(d.a),tP(d.o),ZAt(d,smt(d.j)),(r=zz(vTt(d,(HGt(),iwe)),19))&&hct(d,iwe,rft(-r.a)),i=new Kd(d.g);i.a<i.c.c.length;){for(e=lwt((n=zz(t0(i),17)).a,0);e.b!=e.d.c;)tP(zz(d3(e),8));if(o=zz(vTt(n,ybe),74))for(a=lwt(o,0);a.b!=a.d.c;)tP(zz(d3(a),8));for(u=new Kd(n.b);u.a<u.c.c.length;)tP((s=zz(t0(u),70)).n),tP(s.o)}for(l=new Kd(d.f);l.a<l.c.c.length;)tP((s=zz(t0(l),70)).n),tP(s.o)}for(h.k==(cCt(),Tse)&&(hct(h,(hKt(),Xhe),smt(zz(vTt(h,Xhe),61))),pPt(h)),c=new Kd(h.b);c.a<c.c.c.length;)XFt(s=zz(t0(c),70)),tP(s.o),tP(s.n)}}function RUt(t,e){var n,i,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v;for(t.e=e,s=eIt(e),m=new Nw,i=new Kd(s);i.a<i.c.c.length;){for(n=zz(t0(i),15),v=new Nw,m.c[m.c.length]=v,c=new Fy,f=n.Kc();f.Ob();){for(a=JFt(t,h=zz(f.Pb(),33),!0,0,0),v.c[v.c.length]=a,new PA(d=h.i,g=h.j),!h.n&&(h.n=new nY(UIe,h,1,7)),l=new 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lR(jIe,i,9,10)),i.g).i&&(s=new SM(t,p=new Af),n5((!i.g&&(i.g=new lR(jIe,i,9,10)),i.g),s),ret(d,j6t,p))}function jUt(t){var e,i,r,a,o,s,c;for(HB(),r=t.f.n,s=_G(t.r).a.nc();s.Ob();){if(a=0,(o=zz(s.Pb(),111)).b.Xe((lKt(),oSe))&&(a=Zv(TB(o.b.We(oSe))))<0)switch(o.b.Hf().g){case 1:r.d=n.Math.max(r.d,-a);break;case 3:r.a=n.Math.max(r.a,-a);break;case 2:r.c=n.Math.max(r.c,-a);break;case 4:r.b=n.Math.max(r.b,-a)}if(qU(t.u))switch(e=mat(o.b,a),c=!zz(t.e.We(HCe),174).Hc((e$t(),qMe)),i=!1,o.b.Hf().g){case 1:i=e>r.d,r.d=n.Math.max(r.d,e),c&&i&&(r.d=n.Math.max(r.d,r.a),r.a=r.d+a);break;case 3:i=e>r.a,r.a=n.Math.max(r.a,e),c&&i&&(r.a=n.Math.max(r.a,r.d),r.d=r.a+a);break;case 2:i=e>r.c,r.c=n.Math.max(r.c,e),c&&i&&(r.c=n.Math.max(r.b,r.c),r.b=r.c+a);break;case 4:i=e>r.b,r.b=n.Math.max(r.b,e),c&&i&&(r.b=n.Math.max(r.b,r.c),r.c=r.b+a)}}}function zUt(t){var e,n,i,r,a,o,s,c,u,l,h;for(u=new Kd(t);u.a<u.c.c.length;){switch(c=zz(t0(u),10),a=null,(o=zz(vTt(c,(HGt(),xbe)),163)).g){case 1:case 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r,a,o,s,c,u,l,h,f,d,g,p,b,w,y;if(b=t.n,w=t.o,d=t.d,f=Zv(TB(ipt(t,(HGt(),wwe)))),e){for(h=f*(e.gc()-1),g=0,u=e.Kc();u.Ob();)h+=(s=zz(u.Pb(),10)).o.a,g=n.Math.max(g,s.o.b);for(y=b.a-(h-w.a)/2,o=b.b-d.d+g,a=r=w.a/(e.gc()+1),c=e.Kc();c.Ob();)(s=zz(c.Pb(),10)).n.a=y,s.n.b=o-s.o.b,y+=s.o.a+f,(l=FOt(s)).n.a=s.o.a/2-l.a.a,l.n.b=s.o.b,(p=zz(vTt(s,(hKt(),Rhe)),11)).e.c.length+p.g.c.length==1&&(p.n.a=a-p.a.a,p.n.b=0,AJ(p,t)),a+=r}if(i){for(h=f*(i.gc()-1),g=0,u=i.Kc();u.Ob();)h+=(s=zz(u.Pb(),10)).o.a,g=n.Math.max(g,s.o.b);for(y=b.a-(h-w.a)/2,o=b.b+w.b+d.a-g,a=r=w.a/(i.gc()+1),c=i.Kc();c.Ob();)(s=zz(c.Pb(),10)).n.a=y,s.n.b=o,y+=s.o.a+f,(l=FOt(s)).n.a=s.o.a/2-l.a.a,l.n.b=0,(p=zz(vTt(s,(hKt(),Rhe)),11)).e.c.length+p.g.c.length==1&&(p.n.a=a-p.a.a,p.n.b=w.b,AJ(p,t)),a+=r}}function XUt(t,e){var i,r,a,o,s,c;if(zz(vTt(e,(hKt(),Jhe)),21).Hc((gBt(),fhe))){for(c=new Kd(e.a);c.a<c.c.c.length;)(o=zz(t0(c),10)).k==(cCt(),Ase)&&(a=zz(vTt(o,(HGt(),Abe)),142),t.c=n.Math.min(t.c,o.n.a-a.b),t.a=n.Math.max(t.a,o.n.a+o.o.a+a.c),t.d=n.Math.min(t.d,o.n.b-a.d),t.b=n.Math.max(t.b,o.n.b+o.o.b+a.a));for(s=new Kd(e.a);s.a<s.c.c.length;)if((o=zz(t0(s),10)).k!=(cCt(),Ase))switch(o.k.g){case 2:if((r=zz(vTt(o,(HGt(),xbe)),163))==(Tdt(),jfe)){o.n.a=t.c-10,Qvt(o,new Zn).Jb(new rp(o));break}if(r==qfe){o.n.a=t.a+10,Qvt(o,new Un).Jb(new ap(o));break}if((i=zz(vTt(o,ife),303))==(U9(),Ahe)){dHt(o).Jb(new op(o)),o.n.b=t.d-10;break}if(i==Che){dHt(o).Jb(new sp(o)),o.n.b=t.b+10;break}break;default:throw qw(new $v("The node type "+o.k+" is not supported by the "+Qce))}}}function VUt(t,e,n,i){var r,a,o,s,c,u,l,h,f,d,g,p;for(c=new PA(i.i+i.g/2,i.j+i.f/2),f=Kqt(i),d=zz(tDt(e,(HGt(),nwe)),98),p=zz(tDt(i,swe),61),zM(dwt(i),ewe)||(g=0==i.i&&0==i.j?0:nTt(i,p),Qwt(i,ewe,g)),hct(r=gGt(i,d,p,f,new PA(e.g,e.f),c,new PA(i.g,i.f),zz(vTt(n,Ype),103),n),(hKt(),pfe),i),qf(a=zz(PH(r.j,0),11),_$t(i)),hct(r,awe,(dMt(),edt(rMe))),l=zz(tDt(e,awe),174).Hc(nMe),s=new LO((!i.n&&(i.n=new nY(UIe,i,1,7)),i.n));s.e!=s.i.gc();)if(!Hv(EB(tDt(o=zz(kwt(s),137),Zbe)))&&o.a&&(h=Hlt(o),Kz(a.f,h),!l))switch(u=0,qU(zz(tDt(e,awe),21))&&(u=OMt(new PA(o.i,o.j),new PA(o.g,o.f),new PA(i.g,i.f),0,p)),p.g){case 2:case 4:h.o.a=u;break;case 1:case 3:h.o.b=u}hct(r,Awe,TB(tDt(QQ(e),Awe))),hct(r,Mwe,TB(tDt(QQ(e),Mwe))),hct(r,Cwe,TB(tDt(QQ(e),Cwe))),Kz(n.a,r),WK(t.a,i,r)}function QUt(t,e,n){var i,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m;for(LEt(n,"Processor arrange level",1),l=0,CX(),jrt(e,new ow((ZHt(),ixe))),a=e.b,s=lwt(e,e.b),u=!0;u&&s.b.b!=s.d.a;)b=zz(Y0(s),86),0==zz(vTt(b,ixe),19).a?--a:u=!1;if(o=new t$(new u1(e,0,a)),c=new t$(new u1(e,a,e.b)),0==o.b)for(d=lwt(c,0);d.b!=d.d.c;)hct(zz(d3(d),86),lxe,rft(l++));else for(h=o.b,m=lwt(o,0);m.b!=m.d.c;){for(hct(y=zz(d3(m),86),lxe,rft(l++)),QUt(t,i=Bst(y),vat(n,1/h|0)),jrt(i,XK(new ow(lxe))),f=new 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c,u,l,h,f,d,g,p,b,w,y,m;for(f=null,r==(pQ(),Ove)?f=e:r==Nve&&(f=i),p=f.a.ec().Kc();p.Ob();){for(g=zz(p.Pb(),11),b=Dct(Ast(Zx(STe,1),lWt,8,0,[g.i.n,g.n,g.a])).b,m=new Fy,c=new Fy,l=new m6(g.b);vD(l.a)||vD(l.b);)if(Hv(EB(vTt(u=zz(vD(l.a)?t0(l.a):t0(l.b),17),(hKt(),Afe))))==a&&-1!=_9(o,u,0)){if(w=u.d==g?u.c:u.d,y=Dct(Ast(Zx(STe,1),lWt,8,0,[w.i.n,w.n,w.a])).b,n.Math.abs(y-b)<.2)continue;y<b?e.a._b(w)?EY(m,new rM(Ove,u)):EY(m,new rM(Nve,u)):e.a._b(w)?EY(c,new rM(Ove,u)):EY(c,new rM(Nve,u))}if(m.a.gc()>1)for(n5(m,new uA(t,d=new hHt(g,m,r))),s.c[s.c.length]=d,h=m.a.ec().Kc();h.Ob();)v9(o,zz(h.Pb(),46).b);if(c.a.gc()>1)for(n5(c,new lA(t,d=new hHt(g,c,r))),s.c[s.c.length]=d,h=c.a.ec().Kc();h.Ob();)v9(o,zz(h.Pb(),46).b)}}function nYt(t){NT(t,new CEt(pk(yk(gk(wk(bk(new bs,p4t),"ELK Radial"),'A radial layout provider which is based on the algorithm of Peter Eades published in "Drawing free trees.", published by International Institute for Advanced Study of Social Information Science, Fujitsu Limited in 1991. The radial layouter takes a tree and places the nodes in radial order around the root. 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Kd(s.j);g.a<g.c.c.length;)r+=(f=zz(t0(g),11)).e.c.length+f.g.c.length,1==f.e.c.length&&(u=(i=zz(PH(f.e,0),17)).c),1==f.g.c.length&&(u=(i=zz(PH(f.g,0),17)).d);if(1!=r||u.e.c.length+u.g.c.length!=1||Hv(EB(vTt(u.i,Epe)))){for(b=new Nw,d=new Kd(s.j);d.a<d.c.c.length;){for(h=new Kd((f=zz(t0(d),11)).g);h.a<h.c.c.length;)0==(l=zz(t0(h),17)).d.g.c.length||(b.c[b.c.length]=l);for(o=new Kd(f.e);o.a<o.c.c.length;)0==(a=zz(t0(o),17)).c.e.c.length||(b.c[b.c.length]=a)}for(p=new Kd(b);p.a<p.c.c.length;)nzt(zz(t0(p),17),!0)}else eGt(s,i,u,u.i),LY(c)}e.n&&Iq(e,"Found "+n+" comment boxes"),HCt(e)}function uYt(t,e,n,i){var r,a,o,s,c,u,l,h,f,d,g,p;if(f=Zv(TB(vTt(t,(HGt(),Awe)))),d=Zv(TB(vTt(t,Mwe))),h=Zv(TB(vTt(t,Cwe))),s=t.o,o=(a=zz(PH(t.j,0),11)).n,p=TSt(a,h)){if(e.Hc((dMt(),nMe)))switch(zz(vTt(t,(hKt(),Xhe)),61).g){case 1:p.c=(s.a-p.b)/2-o.a,p.d=d;break;case 3:p.c=(s.a-p.b)/2-o.a,p.d=-d-p.a;break;case 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ll),FI(Vee,new hl),FI(Vee,new fl),FI(Vee,new dl),FI(Rte,new gl),FI(Rte,new pl),FI(Vee,new bl),FI(Vee,new yl),FI(Vee,new ml),FI(Vee,new vl),FI(Vee,new xl),FI(Vee,new kl),FI(jee,new _l),FI(Vee,new El),FI(Vee,new Tl),FI(Vee,new Cl),FI(jee,new Sl),FI(Ree,new Ml),FI(Vee,new Il),FI(Dee,new Ll)}function hYt(t,e){var n,i,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y;if((h=e.length)>0&&(d1(0,e.length),64!=(s=e.charCodeAt(0)))){if(37==s&&(c=!1,0!=(l=e.lastIndexOf("%"))&&(l==h-1||(d1(l+1,e.length),c=46==e.charCodeAt(l+1))))){if(y=mR("%",o=e.substr(1,l-1))?null:OYt(o),i=0,c)try{i=d$t(e.substr(l+2),jWt,FKt)}catch(t){throw aO(t=dst(t),127)?qw(new O9(t)):qw(t)}for(p=Ert(t.Wg());p.Ob();)if(aO(d=Cot(p),510)&&(w=(r=zz(d,590)).d,(null==y?null==w:mR(y,w))&&0==i--))return r;return null}if(f=-1==(u=e.lastIndexOf("."))?e:e.substr(0,u),n=0,-1!=u)try{n=d$t(e.substr(u+1),jWt,FKt)}catch(t){if(!aO(t=dst(t),127))throw 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T2(t,0),hI(E,rft(t.c.length)),w=zz(d3(_=lwt(E,0)),19).a,hI(k,d),x=lwt(k,0),v=0;l.b<l.d.gc();)l.b==w&&(M=i.b,v=Zv(TB(d3(x))),w=zz(d3(_),19).a),SP(l.b<l.d.gc()),y=(c=zz(l.d.Xb(l.c=l.b++),33)).f,Cnt(c,v),p=v,l.b==w&&(b=h-M-i.c,m=c.g,Snt(c,b),dAt(c,new PA(b,p),new PA(m,y))),M+=c.g+e;return new PA(h,S)}function ZYt(t,e){var i,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x,k,_,E,T,C;for(LEt(e,"Compound graph postprocessor",1),i=Hv(EB(vTt(t,(HGt(),Bwe)))),c=zz(vTt(t,(hKt(),qhe)),224),h=new Fy,y=c.ec().Kc();y.Ob();){for(w=zz(y.Pb(),17),s=new e$(c.cc(w)),CX(),mD(s,new $g(t)),k=oat((f1(0,s.c.length),zz(s.c[0],243))),E=sat(zz(PH(s,s.c.length-1),243)),v=k.i,m=pot(E.i,v)?v.e:yK(v),f=Dwt(w,s),vX(w.a),d=null,o=new Kd(s);o.a<o.c.c.length;)a=zz(t0(o),243),LSt(b=new Zk,a.a,m),g=a.b,Wut(r=new xm,0,g.a),tnt(r,b),x=new gL(b1(g.c)),_=new 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1:zrt(l,e.e.a),Bq(l,e.i.n),zrt(l,iot(e.j.a)),Bq(l,e.a.n),zrt(l,e.f.a);break;default:zrt(l,e.e.a),zrt(l,iot(e.j.a)),zrt(l,e.f.a)}vX(e.f.a),zrt(e.f.a,l),CJ(e.f,e.e.c),s=zz(vTt(e.e,(HGt(),ybe)),74),u=zz(vTt(e.j,ybe),74),c=zz(vTt(e.f,ybe),74),(s||u||c)&&(SY(h=new xm,c),SY(h,u),SY(h,s),hct(e.f,ybe,h)),CJ(e.j,null),TJ(e.j,null),CJ(e.e,null),TJ(e.e,null),SJ(e.a,null),SJ(e.i,null),e.g&&YYt(t,e.g)}function GYt(t){var e,n,i,r,a,o,s,c,u,l,h,f,d,g,p,b;if(Ajt(),null==t)return null;if((g=gft(a=W9(t)))%4!=0)return null;if(0==(p=g/4|0))return P7(NNe,m6t,25,0,15,1);for(h=null,e=0,n=0,i=0,r=0,o=0,s=0,c=0,u=0,d=0,f=0,l=0,h=P7(NNe,m6t,25,3*p,15,1);d<p-1;d++){if(!(W_(o=a[l++])&&W_(s=a[l++])&&W_(c=a[l++])&&W_(u=a[l++])))return null;e=KOe[o],n=KOe[s],i=KOe[c],r=KOe[u],h[f++]=(e<<2|n>>4)<<24>>24,h[f++]=((15&n)<<4|i>>2&15)<<24>>24,h[f++]=(i<<6|r)<<24>>24}return 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gL(b.i.n)).a=Dct(Ast(Zx(STe,1),lWt,8,0,[y.i.n,y.n,y.a])).a,Bq(g.a,m),(m=new gL(p.i.n)).a=Dct(Ast(Zx(STe,1),lWt,8,0,[w.i.n,w.n,w.a])).a,Bq(g.a,m);else{if(r.j.c.length>=2){for(d=!0,n=zz(t0(l=new Kd(r.j)),11),h=null;l.a<l.c.c.length;)if(h=n,n=zz(t0(l),11),!Pht(vTt(h,pfe),vTt(n,pfe))){d=!1;break}}else d=!1;for(u=new Kd(r.j);u.a<u.c.c.length;)0==(c=zz(t0(u),11)).e.c.length||cPt(c,d),0==c.g.c.length||uPt(c,d)}SJ(r,null)}HCt(e)}function WYt(t,e,i){var r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x,k,_,E,T;return 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n,i,r,a,o,s,c,u,h,f,d,g,p,b,w,y,m;for((n=new hyt(e)).a||w$t(e),u=dFt(e),c=new wQ,b=new VPt,p=new Kd(e.a);p.a<p.c.c.length;)for(r=new cU(JO(ddt(zz(t0(p),10)).a.Kc(),new l));bLt(r);)(i=zz(Y5(r),17)).c.i.k!=(cCt(),Tse)&&i.d.i.k!=Tse||JMt(c,cwt((h=dUt(t,i,u,b)).d),h.a);for(o=new Nw,m=zz(vTt(n.c,(hKt(),Ghe)),21).Kc();m.Ob();){switch(y=zz(m.Pb(),61),g=b.c[y.g],d=b.b[y.g],s=b.a[y.g],a=null,w=null,y.g){case 4:a=new YW(t.d.a,g,u.b.a-t.d.a,d-g),w=new YW(t.d.a,g,s,d-g),Uq(u,new PA(a.c+a.b,a.d)),Uq(u,new PA(a.c+a.b,a.d+a.a));break;case 2:a=new YW(u.a.a,g,t.c.a-u.a.a,d-g),w=new YW(t.c.a-s,g,s,d-g),Uq(u,new PA(a.c,a.d)),Uq(u,new PA(a.c,a.d+a.a));break;case 1:a=new YW(g,t.d.b,d-g,u.b.b-t.d.b),w=new YW(g,t.d.b,d-g,s),Uq(u,new PA(a.c,a.d+a.a)),Uq(u,new PA(a.c+a.b,a.d+a.a));break;case 3:a=new YW(g,u.a.b,d-g,t.c.b-u.a.b),w=new YW(g,t.c.b-s,d-g,s),Uq(u,new PA(a.c,a.d)),Uq(u,new PA(a.c+a.b,a.d))}a&&((f=new tm).d=y,f.b=a,f.c=w,f.a=QX(zz(l6(c,cwt(y)),21)),o.c[o.c.length]=f)}return wst(n.b,o),n.d=qlt(eZt(u)),n}function uGt(t,e,i){var r,a,o,s,c,u,l,h,f,d,g,p;if(null==i.p[e.p]){c=!0,i.p[e.p]=0,s=e,p=i.o==(cJ(),rve)?$Xt:RXt;do{a=t.b.e[s.p],o=s.c.a.c.length,i.o==rve&&a>0||i.o==ave&&a<o-1?(u=null,l=null,u=i.o==ave?zz(PH(s.c.a,a+1),10):zz(PH(s.c.a,a-1),10),uGt(t,l=i.g[u.p],i),p=t.e.bg(p,e,s),i.j[e.p]==e&&(i.j[e.p]=i.j[l.p]),i.j[e.p]==i.j[l.p]?(g=RD(t.d,s,u),i.o==ave?(r=Zv(i.p[e.p]),f=Zv(i.p[l.p])+Zv(i.d[u.p])-u.d.d-g-s.d.a-s.o.b-Zv(i.d[s.p]),c?(c=!1,i.p[e.p]=n.Math.min(f,p)):i.p[e.p]=n.Math.min(r,n.Math.min(f,p))):(r=Zv(i.p[e.p]),f=Zv(i.p[l.p])+Zv(i.d[u.p])+u.o.b+u.d.a+g+s.d.d-Zv(i.d[s.p]),c?(c=!1,i.p[e.p]=n.Math.max(f,p)):i.p[e.p]=n.Math.max(r,n.Math.max(f,p)))):(g=Zv(TB(vTt(t.a,(HGt(),Iwe)))),d=krt(t,i.j[e.p]),h=krt(t,i.j[l.p]),i.o==ave?Y1(d,h,Zv(i.p[e.p])+Zv(i.d[s.p])+s.o.b+s.d.a+g-(Zv(i.p[l.p])+Zv(i.d[u.p])-u.d.d)):Y1(d,h,Zv(i.p[e.p])+Zv(i.d[s.p])-s.d.d-Zv(i.p[l.p])-Zv(i.d[u.p])-u.o.b-u.d.a-g))):p=t.e.bg(p,e,s),s=i.a[s.p]}while(s!=e);Iy(t.e,e)}}function lGt(t,e,n){var i,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y;for(h=e,l=new wQ,f=new wQ,a=N2(h,B6t),UCt((i=new hX(t,n,l,f)).a,i.b,i.c,i.d,a),p=(l.i||(l.i=new qO(l,l.c))).Kc();p.Ob();)for(g=zz(p.Pb(),202),s=zz(l6(l,g),21).Kc();s.Ob();){if(o=s.Pb(),!(d=zz(lnt(t.d,o),202)))throw r=F2(h,Z6t),qw(new nx(X6t+o+V6t+r+W6t));!g.e&&(g.e=new lR(jIe,g,10,9)),h8(g.e,d)}for(w=(f.i||(f.i=new qO(f,f.c))).Kc();w.Ob();)for(b=zz(w.Pb(),202),u=zz(l6(f,b),21).Kc();u.Ob();){if(c=u.Pb(),!(d=zz(lnt(t.d,c),202)))throw r=F2(h,Z6t),qw(new nx(X6t+c+V6t+r+W6t));!b.g&&(b.g=new lR(jIe,b,9,10)),h8(b.g,d)}!n.b&&(n.b=new lR(RIe,n,4,7)),0!=n.b.i&&(!n.c&&(n.c=new lR(RIe,n,5,8)),0!=n.c.i)&&(!n.b&&(n.b=new lR(RIe,n,4,7)),n.b.i<=1&&(!n.c&&(n.c=new lR(RIe,n,5,8)),n.c.i<=1))&&1==(!n.a&&(n.a=new nY(jIe,n,6,6)),n.a).i&&(Syt(y=zz(Wet((!n.a&&(n.a=new nY(jIe,n,6,6)),n.a),0),202))||Ayt(y)||(Nit(y,zz(Wet((!n.b&&(n.b=new lR(RIe,n,4,7)),n.b),0),82)),Pit(y,zz(Wet((!n.c&&(n.c=new lR(RIe,n,5,8)),n.c),0),82))))}function hGt(t){var e,i,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x,k,_,E,T,C;for(v=0,x=(m=t.a).length;v<x;++v){for(y=m[v],u=FKt,l=FKt,g=new Kd(y.e);g.a<g.c.c.length;)(o=(f=zz(t0(g),10)).c?_9(f.c.a,f,0):-1)>0?(h=zz(PH(f.c.a,o-1),10),E=RD(t.b,f,h),b=f.n.b-f.d.d-(h.n.b+h.o.b+h.d.a+E)):b=f.n.b-f.d.d,u=n.Math.min(b,u),o<f.c.a.c.length-1?(h=zz(PH(f.c.a,o+1),10),E=RD(t.b,f,h),w=h.n.b-h.d.d-(f.n.b+f.o.b+f.d.a+E)):w=2*f.n.b,l=n.Math.min(w,l);for(c=FKt,a=!1,C=new Kd((r=zz(PH(y.e,0),10)).j);C.a<C.c.c.length;)for(T=zz(t0(C),11),p=r.n.b+T.n.b+T.a.b,i=new Kd(T.e);i.a<i.c.c.length;)e=(k=zz(t0(i),17).c).i.n.b+k.n.b+k.a.b-p,n.Math.abs(e)<n.Math.abs(c)&&n.Math.abs(e)<(e<0?u:l)&&(c=e,a=!0);for(_=new Kd((s=zz(PH(y.e,y.e.c.length-1),10)).j);_.a<_.c.c.length;)for(k=zz(t0(_),11),p=s.n.b+k.n.b+k.a.b,i=new Kd(k.g);i.a<i.c.c.length;)e=(T=zz(t0(i),17).d).i.n.b+T.n.b+T.a.b-p,n.Math.abs(e)<n.Math.abs(c)&&n.Math.abs(e)<(e<0?u:l)&&(c=e,a=!0);if(a&&0!=c)for(d=new Kd(y.e);d.a<d.c.c.length;)(f=zz(t0(d),10)).n.b+=c}}function fGt(t,e,n){var i,r,a,o,s,c,u,l,h,f,d,g,p,b;if(lY(t.a,e)){if(jE(zz(FG(t.a,e),53),n))return 1}else WK(t.a,e,new Fy);if(lY(t.a,n)){if(jE(zz(FG(t.a,n),53),e))return-1}else WK(t.a,n,new Fy);if(lY(t.e,e)){if(jE(zz(FG(t.e,e),53),n))return-1}else WK(t.e,e,new Fy);if(lY(t.e,n)){if(jE(zz(FG(t.a,n),53),e))return 1}else WK(t.e,n,new Fy);if(t.c==(vct(),Pye)||!OP(e,(hKt(),gfe))||!OP(n,(hKt(),gfe))){if(c=zz(_N(T4(Vct(LW(new FH(null,new g1(e.j,16)),new ua)),new la)),11),l=zz(_N(T4(Vct(LW(new FH(null,new g1(n.j,16)),new ha)),new fa)),11),c&&l){if(s=c.i,u=l.i,s&&s==u){for(f=new Kd(s.j);f.a<f.c.c.length;){if((h=zz(t0(f),11))==c)return sRt(t,n,e),-1;if(h==l)return sRt(t,e,n),1}return _D(r_t(t,e),r_t(t,n))}for(p=0,b=(g=t.d).length;p<b;++p){if((d=g[p])==s)return sRt(t,n,e),-1;if(d==u)return sRt(t,e,n),1}}if(!OP(e,(hKt(),gfe))||!OP(n,gfe))return(r=r_t(t,e))>(o=r_t(t,n))?sRt(t,e,n):sRt(t,n,e),r<o?-1:r>o?1:0}return(i=zz(vTt(e,(hKt(),gfe)),19).a)>(a=zz(vTt(n,gfe),19).a)?sRt(t,e,n):sRt(t,n,e),i<a?-1:i>a?1:0}function dGt(t,e,n,i){var r,a,o,s,c,u,l,h,f,d,g,p;if(Hv(EB(tDt(e,(lKt(),UCe)))))return CX(),CX(),lne;if(c=0!=(!e.a&&(e.a=new nY(YIe,e,10,11)),e.a).i,u=!(l=xMt(e)).dc(),c||u){if(!(r=zz(tDt(e,mSe),149)))throw qw(new rx("Resolved algorithm is not set; apply a LayoutAlgorithmResolver before computing layout."));if(p=IA(r,(hLt(),tLe)),Pbt(e),!c&&u&&!p)return CX(),CX(),lne;if(s=new Nw,ZM(tDt(e,_Ce))===ZM((cht(),wAe))&&(IA(r,VIe)||IA(r,XIe)))for(f=yFt(t,e),zrt(d=new VE,(!e.a&&(e.a=new nY(YIe,e,10,11)),e.a));0!=d.b;)Pbt(h=zz(0==d.b?null:(SP(0!=d.b),Det(d,d.a.a)),33)),ZM(tDt(h,_Ce))===ZM(mAe)||S7(h,nCe)&&!k5(r,tDt(h,mSe))?(wst(s,dGt(t,h,n,i)),Qwt(h,_Ce,mAe),$Rt(h)):zrt(d,(!h.a&&(h.a=new nY(YIe,h,10,11)),h.a));else for(f=(!e.a&&(e.a=new nY(YIe,e,10,11)),e.a).i,o=new LO((!e.a&&(e.a=new nY(YIe,e,10,11)),e.a));o.e!=o.i.gc();)wst(s,dGt(t,a=zz(kwt(o),33),n,i)),$Rt(a);for(g=new Kd(s);g.a<g.c.c.length;)Qwt(zz(t0(g),79),UCe,(lN(),!0));return Gbt(e,r,vat(i,f)),p$t(s),u&&p?l:(CX(),CX(),lne)}return CX(),CX(),lne}function gGt(t,e,n,i,r,a,o,s,c){var u,l,h,f,d,g,p;switch(d=n,zf(l=new Oyt(c),(cCt(),Tse)),hct(l,(hKt(),Vhe),o),hct(l,(HGt(),nwe),(V_t(),GAe)),p=Zv(TB(t.We(ewe))),hct(l,ewe,p),AJ(h=new MCt,l),e!=XAe&&e!=VAe||(d=i>=0?hgt(s):Tft(hgt(s)),t.Ye(swe,d)),u=new Zk,f=!1,t.Xe(twe)?(qP(u,zz(t.We(twe),8)),f=!0):vO(u,o.a/2,o.b/2),d.g){case 4:hct(l,xbe,(Tdt(),jfe)),hct(l,Zhe,(Jst(),Dle)),l.o.b=o.b,p<0&&(l.o.a=-p),ZAt(h,(kYt(),cMe)),f||(u.a=o.a),u.a-=o.a;break;case 2:hct(l,xbe,(Tdt(),qfe)),hct(l,Zhe,(Jst(),Ile)),l.o.b=o.b,p<0&&(l.o.a=-p),ZAt(h,(kYt(),AMe)),f||(u.a=0);break;case 1:hct(l,ife,(U9(),Ahe)),l.o.a=o.a,p<0&&(l.o.b=-p),ZAt(h,(kYt(),CMe)),f||(u.b=o.b),u.b-=o.b;break;case 3:hct(l,ife,(U9(),Che)),l.o.a=o.a,p<0&&(l.o.b=-p),ZAt(h,(kYt(),uMe)),f||(u.b=0)}if(qP(h.n,u),hct(l,twe,u),e==YAe||e==KAe||e==GAe){if(g=0,e==YAe&&t.Xe(iwe))switch(d.g){case 1:case 2:g=zz(t.We(iwe),19).a;break;case 3:case 4:g=-zz(t.We(iwe),19).a}else switch(d.g){case 4:case 2:g=a.b,e==KAe&&(g/=r.b);break;case 1:case 3:g=a.a,e==KAe&&(g/=r.a)}hct(l,Efe,g)}return hct(l,Xhe,d),l}function pGt(t){var e,n,i,r,a,o,s,c,u,h,f,d,g,p,b,w,y,m,v,x,k,_;if((n=Zv(TB(vTt(t.a.j,(HGt(),$pe)))))<-1||!t.a.i||OR(zz(vTt(t.a.o,nwe),98))||sdt(t.a.o,(kYt(),cMe)).gc()<2&&sdt(t.a.o,AMe).gc()<2)return!0;if(t.a.c.Rf())return!1;for(v=0,m=0,y=new Nw,c=0,u=(s=t.a.e).length;c<u;++c){for(d=0,p=(f=s[c]).length;d<p;++d)if((h=f[d]).k!=(cCt(),Mse)){for(i=t.b[h.c.p][h.p],h.k==Tse?(i.b=1,zz(vTt(h,(hKt(),pfe)),11).j==(kYt(),cMe)&&(m+=i.a)):(_=sdt(h,(kYt(),AMe))).dc()||!eO(_,new Na)?i.c=1:((r=sdt(h,cMe)).dc()||!eO(r,new Oa))&&(v+=i.a),o=new cU(JO(ddt(h).a.Kc(),new l));bLt(o);)a=zz(Y5(o),17),v+=i.c,m+=i.b,G7(t,i,a.d.i);for(k=new cU(new KO((b=Wnt(Ast(Zx(Bte,1),HKt,20,0,[sdt(h,(kYt(),uMe)),sdt(h,CMe)]))).a.length,b.a));bLt(k);)x=zz(Y5(k),11),(w=zz(vTt(x,(hKt(),_fe)),10))&&(v+=i.c,m+=i.b,G7(t,i,w))}else y.c[y.c.length]=h;for(g=new Kd(y);g.a<g.c.c.length;)for(h=zz(t0(g),10),i=t.b[h.c.p][h.p],o=new cU(JO(ddt(h).a.Kc(),new 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PA(e.a,r.d.d),r,o)).f.a=!0,b.a=o.d,p.c[p.c.length]=b),o.d.j==CMe&&((b=new Azt(e,new PA(e.a,r.d.d+r.d.a),r,o)).f.d=!0,b.a=o.d,p.c[p.c.length]=b))}return p}function SGt(t,e,n){var i,r,a,o,s,c,u;if(LEt(n,"Network simplex node placement",1),t.e=e,t.n=zz(vTt(e,(hKt(),Lfe)),304),uHt(t),R_t(t),QE(gtt(new FH(null,new g1(t.e.b,16)),new qa),new ab(t)),QE(LW(gtt(LW(gtt(new FH(null,new g1(t.e.b,16)),new eo),new no),new io),new ro),new rb(t)),Hv(EB(vTt(t.e,(HGt(),Pbe))))&&(LEt(a=vat(n,1),"Straight Edges Pre-Processing",1),_Ut(t),HCt(a)),Cyt(t.f),r=zz(vTt(e,Pwe),19).a*t.f.a.c.length,WRt(Xx(Vx(z$(t.f),r),!1),vat(n,1)),0!=t.d.a.gc()){for(LEt(a=vat(n,1),"Flexible Where Space Processing",1),o=zz(DN(IU(DW(new FH(null,new g1(t.f.a,16)),new Ha),new Ba)),19).a,s=zz(DN(MU(DW(new FH(null,new g1(t.f.a,16)),new Za),new Fa)),19).a-o,c=LN(new Hy,t.f),u=LN(new Hy,t.f),GNt(oT(aT(rT(sT(new qy,2e4),s),c),u)),QE(LW(LW(OY(t.i),new Ua),new Ya),new UW(o,c,s,u)),i=t.d.a.ec().Kc();i.Ob();)zz(i.Pb(),213).g=1;WRt(Xx(Vx(z$(t.f),r),!1),vat(a,1)),HCt(a)}Hv(EB(vTt(e,Pbe)))&&(LEt(a=vat(n,1),"Straight Edges Post-Processing",1),SSt(t),HCt(a)),VZt(t),t.e=null,t.f=null,t.i=null,t.c=null,DY(t.k),t.j=null,t.a=null,t.o=null,t.d.a.$b(),HCt(n)}function AGt(t,e,i){var r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x;for(s=new Kd(t.a.b);s.a<s.c.c.length;)for(m=new Kd(zz(t0(s),29).a);m.a<m.c.c.length;)y=zz(t0(m),10),e.g[y.p]=y,e.a[y.p]=y,e.d[y.p]=0;for(c=t.a.b,e.c==(bQ(),tve)&&(c=aO(c,152)?c6(zz(c,152)):aO(c,131)?zz(c,131).a:aO(c,54)?new hv(c):new AE(c)),o=c.Kc();o.Ob();)for(d=-1,f=zz(o.Pb(),29).a,e.o==(cJ(),ave)&&(d=FKt,f=aO(f,152)?c6(zz(f,152)):aO(f,131)?zz(f,131).a:aO(f,54)?new hv(f):new AE(f)),x=f.Kc();x.Ob();)if(v=zz(x.Pb(),10),h=null,(h=e.c==tve?zz(PH(t.b.f,v.p),15):zz(PH(t.b.b,v.p),15)).gc()>0)if(r=h.gc(),u=AQ(n.Math.floor((r+1)/2))-1,a=AQ(n.Math.ceil((r+1)/2))-1,e.o==ave)for(l=a;l>=u;l--)e.a[v.p]==v&&(p=zz(h.Xb(l),46),g=zz(p.a,10),!jE(i,p.b)&&d>t.b.e[g.p]&&(e.a[g.p]=v,e.g[v.p]=e.g[g.p],e.a[v.p]=e.g[v.p],e.f[e.g[v.p].p]=(lN(),!!(Hv(e.f[e.g[v.p].p])&v.k==(cCt(),Sse))),d=t.b.e[g.p]));else for(l=u;l<=a;l++)e.a[v.p]==v&&(w=zz(h.Xb(l),46),b=zz(w.a,10),!jE(i,w.b)&&d<t.b.e[b.p]&&(e.a[b.p]=v,e.g[v.p]=e.g[b.p],e.a[v.p]=e.g[v.p],e.f[e.g[v.p].p]=(lN(),!!(Hv(e.f[e.g[v.p].p])&v.k==(cCt(),Sse))),d=t.b.e[b.p]))}function MGt(){MGt=I,n_(),SIe=bIe.a,zz(Wet(XX(bIe.a),0),18),xIe=bIe.f,zz(Wet(XX(bIe.f),0),18),zz(Wet(XX(bIe.f),1),34),CIe=bIe.n,zz(Wet(XX(bIe.n),0),34),zz(Wet(XX(bIe.n),1),34),zz(Wet(XX(bIe.n),2),34),zz(Wet(XX(bIe.n),3),34),kIe=bIe.g,zz(Wet(XX(bIe.g),0),18),zz(Wet(XX(bIe.g),1),34),yIe=bIe.c,zz(Wet(XX(bIe.c),0),18),zz(Wet(XX(bIe.c),1),18),_Ie=bIe.i,zz(Wet(XX(bIe.i),0),18),zz(Wet(XX(bIe.i),1),18),zz(Wet(XX(bIe.i),2),18),zz(Wet(XX(bIe.i),3),18),zz(Wet(XX(bIe.i),4),34),EIe=bIe.j,zz(Wet(XX(bIe.j),0),18),mIe=bIe.d,zz(Wet(XX(bIe.d),0),18),zz(Wet(XX(bIe.d),1),18),zz(Wet(XX(bIe.d),2),18),zz(Wet(XX(bIe.d),3),18),zz(Wet(XX(bIe.d),4),34),zz(Wet(XX(bIe.d),5),34),zz(Wet(XX(bIe.d),6),34),zz(Wet(XX(bIe.d),7),34),wIe=bIe.b,zz(Wet(XX(bIe.b),0),34),zz(Wet(XX(bIe.b),1),34),vIe=bIe.e,zz(Wet(XX(bIe.e),0),34),zz(Wet(XX(bIe.e),1),34),zz(Wet(XX(bIe.e),2),34),zz(Wet(XX(bIe.e),3),34),zz(Wet(XX(bIe.e),4),18),zz(Wet(XX(bIe.e),5),18),zz(Wet(XX(bIe.e),6),18),zz(Wet(XX(bIe.e),7),18),zz(Wet(XX(bIe.e),8),18),zz(Wet(XX(bIe.e),9),18),zz(Wet(XX(bIe.e),10),34),TIe=bIe.k,zz(Wet(XX(bIe.k),0),34),zz(Wet(XX(bIe.k),1),34)}function IGt(t,e){var n,i,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x,k,_,E,T,C,S;for(T=new VE,k=new VE,b=-1,c=new Kd(t);c.a<c.c.c.length;){for((o=zz(t0(c),128)).s=b--,l=0,m=0,a=new Kd(o.t);a.a<a.c.c.length;)m+=(i=zz(t0(a),268)).c;for(r=new Kd(o.i);r.a<r.c.c.length;)l+=(i=zz(t0(r),268)).c;o.n=l,o.u=m,0==m?r5(k,o,k.c.b,k.c):0==l&&r5(T,o,T.c.b,T.c)}for(S=C4(t),p=(h=t.c.length)+1,w=h-1,d=new Nw;0!=S.a.gc();){for(;0!=k.b;)SP(0!=k.b),x=zz(Det(k,k.a.a),128),S.a.Bc(x),x.s=w--,oOt(x,T,k);for(;0!=T.b;)SP(0!=T.b),_=zz(Det(T,T.a.a),128),S.a.Bc(_),_.s=p++,oOt(_,T,k);for(g=jWt,u=S.a.ec().Kc();u.Ob();)(y=(o=zz(u.Pb(),128)).u-o.n)>=g&&(y>g&&(d.c=P7(Dte,HKt,1,0,5,1),g=y),d.c[d.c.length]=o);0!=d.c.length&&(f=zz(PH(d,yyt(e,d.c.length)),128),S.a.Bc(f),f.s=p++,oOt(f,T,k),d.c=P7(Dte,HKt,1,0,5,1))}for(v=t.c.length+1,s=new Kd(t);s.a<s.c.c.length;)(o=zz(t0(s),128)).s<h&&(o.s+=v);for(E=new Kd(t);E.a<E.c.c.length;)for(n=new T2((_=zz(t0(E),128)).t,0);n.b<n.d.gc();)SP(n.b<n.d.gc()),C=(i=zz(n.d.Xb(n.c=n.b++),268)).b,_.s>C.s&&(hK(n),v9(C.i,i),i.c>0&&(i.a=C,Kz(C.t,i),i.b=_,Kz(_.i,i)))}function LGt(t){var e,n,i,r,a;switch(e=t.c){case 11:return t.Ml();case 12:return t.Ol();case 14:return t.Ql();case 15:return t.Tl();case 16:return t.Rl();case 17:return t.Ul();case 21:return VGt(t),pKt(),pKt(),uNe;case 10:switch(t.a){case 65:return t.yl();case 90:return t.Dl();case 122:return t.Kl();case 98:return t.El();case 66:return t.zl();case 60:return t.Jl();case 62:return t.Hl()}}switch(a=kGt(t),e=t.c){case 3:return t.Zl(a);case 4:return t.Xl(a);case 5:return t.Yl(a);case 0:if(123==t.a&&t.d<t.j){if(r=t.d,i=0,n=-1,!((e=hW(t.i,r++))>=48&&e<=57))throw qw(new ox(kKt((sD(),K7t))));for(i=e-48;r<t.j&&(e=hW(t.i,r++))>=48&&e<=57;)if((i=10*i+e-48)<0)throw qw(new ox(kKt((sD(),Q7t))));if(n=i,44==e){if(r>=t.j)throw qw(new ox(kKt((sD(),X7t))));if((e=hW(t.i,r++))>=48&&e<=57){for(n=e-48;r<t.j&&(e=hW(t.i,r++))>=48&&e<=57;)if((n=10*n+e-48)<0)throw qw(new ox(kKt((sD(),Q7t))));if(i>n)throw qw(new ox(kKt((sD(),V7t))))}else n=-1}if(125!=e)throw qw(new ox(kKt((sD(),W7t))));t.sl(r)?(pKt(),pKt(),a=new l4(9,a),t.d=r+1):(pKt(),pKt(),a=new l4(3,a),t.d=r),a.dm(i),a.cm(n),VGt(t)}}return a}function DGt(t,e,n,i,r){var a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x,k,_,E,T;for(g=new Q6(e.b),y=new Q6(e.b),f=new Q6(e.b),k=new Q6(e.b),p=new Q6(e.b),x=lwt(e,0);x.b!=x.d.c;)for(s=new Kd((m=zz(d3(x),11)).g);s.a<s.c.c.length;)if((a=zz(t0(s),17)).c.i==a.d.i){if(m.j==a.d.j){k.c[k.c.length]=a;continue}if(m.j==(kYt(),uMe)&&a.d.j==CMe){p.c[p.c.length]=a;continue}}for(c=new Kd(p);c.a<c.c.c.length;)j$t(t,a=zz(t0(c),17),n,i,(kYt(),cMe));for(o=new Kd(k);o.a<o.c.c.length;)a=zz(t0(o),17),zf(_=new Oyt(t),(cCt(),Mse)),hct(_,(HGt(),nwe),(V_t(),GAe)),hct(_,(hKt(),pfe),a),hct(E=new MCt,pfe,a.d),ZAt(E,(kYt(),AMe)),AJ(E,_),hct(T=new MCt,pfe,a.c),ZAt(T,cMe),AJ(T,_),hct(a.c,_fe,_),hct(a.d,_fe,_),CJ(a,null),TJ(a,null),n.c[n.c.length]=_,hct(_,zhe,rft(2));for(v=lwt(e,0);v.b!=v.d.c;)u=(m=zz(d3(v),11)).e.c.length>0,b=m.g.c.length>0,u&&b?f.c[f.c.length]=m:u?g.c[g.c.length]=m:b&&(y.c[y.c.length]=m);for(d=new Kd(g);d.a<d.c.c.length;)Kz(r,Hzt(t,zz(t0(d),11),null,n));for(w=new Kd(y);w.a<w.c.c.length;)Kz(r,Hzt(t,null,zz(t0(w),11),n));for(h=new Kd(f);h.a<h.c.c.length;)Kz(r,Hzt(t,l=zz(t0(h),11),l,n))}function OGt(t){var e,i,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x,k,_;for(p=new PA(RXt,RXt),e=new PA($Xt,$Xt),x=new Kd(t);x.a<x.c.c.length;)v=zz(t0(x),8),p.a=n.Math.min(p.a,v.a),p.b=n.Math.min(p.b,v.b),e.a=n.Math.max(e.a,v.a),e.b=n.Math.max(e.b,v.b);for(u=new PA(e.a-p.a,e.b-p.b),l=new tzt(new PA(p.a-50,p.b-u.a-50),new PA(p.a-50,e.b+u.a+50),new PA(e.a+u.b/2+50,p.b+u.b/2)),m=new Fy,a=new Nw,i=new Nw,m.a.zc(l,m),_=new Kd(t);_.a<_.c.c.length;){for(k=zz(t0(_),8),a.c=P7(Dte,HKt,1,0,5,1),y=m.a.ec().Kc();y.Ob();)K7((b=zz(y.Pb(),308)).d,b.a),Idt(K7(b.d,k),K7(b.d,b.a))<0&&(a.c[a.c.length]=b);for(i.c=P7(Dte,HKt,1,0,5,1),w=new Kd(a);w.a<w.c.c.length;)for(d=new Kd((b=zz(t0(w),308)).e);d.a<d.c.c.length;){for(h=zz(t0(d),168),o=!0,c=new Kd(a);c.a<c.c.c.length;)(s=zz(t0(c),308))!=b&&(aW(h,PH(s.e,0))||aW(h,PH(s.e,1))||aW(h,PH(s.e,2)))&&(o=!1);o&&(i.c[i.c.length]=h)}for(uTt(m,a),n5(m,new ft),f=new Kd(i);f.a<f.c.c.length;)EY(m,new tzt(k,(h=zz(t0(f),168)).a,h.b))}for(n5(m,new kg(g=new Fy)),r=g.a.ec().Kc();r.Ob();)(R9(l,(h=zz(r.Pb(),168)).a)||R9(l,h.b))&&r.Qb();return n5(g,new dt),g}function NGt(t){var e,n,i;switch(n=zz(vTt(t,(hKt(),Jhe)),21),e=xL(Noe),zz(vTt(t,(HGt(),ube)),334)==(cht(),wAe)&&Jat(e,Poe),Hv(EB(vTt(t,sbe)))?pH(e,(xTt(),Foe),(dKt(),qce)):pH(e,(xTt(),$oe),(dKt(),qce)),null!=vTt(t,(A6(),ETe))&&Jat(e,Boe),(Hv(EB(vTt(t,bbe)))||Hv(EB(vTt(t,cbe))))&&KZ(e,(xTt(),zoe),(dKt(),nce)),zz(vTt(t,Ype),103).g){case 2:case 3:case 4:KZ(pH(e,(xTt(),Foe),(dKt(),rce)),zoe,ice)}switch(n.Hc((gBt(),lhe))&&KZ(pH(pH(e,(xTt(),Foe),(dKt(),ece)),joe,Jse),zoe,tce),ZM(vTt(t,Cbe))!==ZM((lNt(),Mye))&&pH(e,(xTt(),$oe),(dKt(),Nce)),n.Hc(whe)&&(pH(e,(xTt(),Foe),(dKt(),jce)),pH(e,Roe,Rce),pH(e,$oe,$ce)),ZM(vTt(t,Spe))!==ZM((JTt(),ahe))&&ZM(vTt(t,Jpe))!==ZM((Cdt(),VSe))&&KZ(e,(xTt(),zoe),(dKt(),wce)),Hv(EB(vTt(t,hbe)))&&pH(e,(xTt(),$oe),(dKt(),bce)),Hv(EB(vTt(t,qpe)))&&pH(e,(xTt(),$oe),(dKt(),Kce)),$Ot(t)&&(i=(ZM(vTt(t,ube))===ZM(wAe)?zz(vTt(t,Fpe),292):zz(vTt(t,Rpe),292))==($ot(),khe)?(dKt(),Fce):(dKt(),Vce),pH(e,(xTt(),joe),i)),zz(vTt(t,Uwe),377).g){case 1:pH(e,(xTt(),joe),(dKt(),Wce));break;case 2:KZ(pH(pH(e,(xTt(),$oe),(dKt(),Wse)),joe,Xse),zoe,Vse)}return ZM(vTt(t,Ope))!==ZM((vct(),Nye))&&pH(e,(xTt(),$oe),(dKt(),Xce)),e}function PGt(t){NT(t,new CEt(yk(gk(wk(bk(new bs,O4t),"ELK Rectangle Packing"),"Algorithm for packing of unconnected boxes, i.e. graphs without edges. The given order of the boxes is always preserved and the main reading direction of the boxes is left to right. The algorithm is divided into two phases. One phase approximates the width in which the rectangles can be placed. The next phase places the rectangles in rows using the previously calculated width as bounding width and bundles rectangles with a similar height in blocks. A compaction step reduces the size of the drawing. Finally, the rectangles are expanded to fill their bounding box and eliminate empty unused spaces."),new ts))),s2(t,O4t,XQt,1.3),s2(t,O4t,D4t,vwt(b_e)),s2(t,O4t,VQt,M_e),s2(t,O4t,mJt,15),s2(t,O4t,c3t,vwt(d_e)),s2(t,O4t,AJt,vwt(k_e)),s2(t,O4t,qJt,vwt(__e)),s2(t,O4t,SJt,vwt(E_e)),s2(t,O4t,MJt,vwt(x_e)),s2(t,O4t,CJt,vwt(T_e)),s2(t,O4t,IJt,vwt(I_e)),s2(t,O4t,E4t,vwt(S_e)),s2(t,O4t,T4t,vwt(v_e)),s2(t,O4t,A4t,vwt(C_e)),s2(t,O4t,M4t,vwt(L_e)),s2(t,O4t,I4t,vwt(w_e)),s2(t,O4t,_Jt,vwt(y_e)),s2(t,O4t,v3t,vwt(m_e)),s2(t,O4t,S4t,vwt(p_e)),s2(t,O4t,C4t,vwt(g_e)),s2(t,O4t,L4t,vwt(O_e))}function BGt(t,e,n){var i,r,a,o,s,c,u,l,h,f,d,g,p;if(null==n)return null;if(t.a!=e.Aj())throw qw(new $v(b6t+e.ne()+w6t));if(aO(e,457)){if(!(p=SBt(zz(e,671),n)))throw qw(new $v(y6t+n+"' is not a valid enumerator of '"+e.ne()+"'"));return p}switch(Mht((ISt(),JDe),e).cl()){case 2:n=zzt(n,!1);break;case 3:n=zzt(n,!0)}if(i=Mht(JDe,e).$k())return i.Aj().Nh().Kh(i,n);if(h=Mht(JDe,e).al()){for(p=new Nw,u=0,l=(c=xut(n)).length;u<l;++u)s=c[u],Kz(p,h.Aj().Nh().Kh(h,s));return p}if(!(g=Mht(JDe,e).bl()).dc()){for(d=g.Kc();d.Ob();){f=zz(d.Pb(),148);try{if(null!=(p=f.Aj().Nh().Kh(f,n)))return p}catch(t){if(!aO(t=dst(t),60))throw qw(t)}}throw qw(new $v(y6t+n+"' does not match any member types of the union datatype '"+e.ne()+"'"))}if(zz(e,834).Fj(),!(r=Bht(e.Bj())))return null;if(r==See){a=0;try{a=d$t(n,jWt,FKt)&VWt}catch(t){if(!aO(t=dst(t),127))throw qw(t);a=W9(n)[0]}return fst(a)}if(r==vee){for(o=0;o<MIe.length;++o)try{return zT(MIe[o],n)}catch(t){if(!aO(t=dst(t),32))throw qw(t)}throw qw(new $v(y6t+n+"' is not a date formatted string of the form yyyy-MM-dd'T'HH:mm:ss'.'SSSZ or a valid subset thereof"))}throw qw(new $v(y6t+n+"' is invalid. "))}function FGt(t,e){var n,i,r,a,o,s,c,u;if(n=0,o=0,a=e.length,s=null,u=new Mx,o<a&&(d1(o,e.length),43==e.charCodeAt(o))&&(++n,++o<a&&(d1(o,e.length),43==e.charCodeAt(o)||(d1(o,e.length),45==e.charCodeAt(o)))))throw qw(new Tx(FXt+e+'"'));for(;o<a&&(d1(o,e.length),46!=e.charCodeAt(o))&&(d1(o,e.length),101!=e.charCodeAt(o))&&(d1(o,e.length),69!=e.charCodeAt(o));)++o;if(u.a+=""+hP(null==e?YKt:(xK(e),e),n,o),o<a&&(d1(o,e.length),46==e.charCodeAt(o))){for(n=++o;o<a&&(d1(o,e.length),101!=e.charCodeAt(o))&&(d1(o,e.length),69!=e.charCodeAt(o));)++o;t.e=o-n,u.a+=""+hP(null==e?YKt:(xK(e),e),n,o)}else t.e=0;if(o<a&&(d1(o,e.length),101==e.charCodeAt(o)||(d1(o,e.length),69==e.charCodeAt(o)))&&(n=++o,o<a&&(d1(o,e.length),43==e.charCodeAt(o))&&++o<a&&(d1(o,e.length),45!=e.charCodeAt(o))&&++n,s=e.substr(n,a-n),t.e=t.e-d$t(s,jWt,FKt),t.e!=AQ(t.e)))throw qw(new Tx("Scale out of range."));if((c=u.a).length<16){if(t.f=(null==Xee&&(Xee=new RegExp("^[+-]?\\d*$","i")),Xee.test(c)?parseInt(c,10):NaN),isNaN(t.f))throw qw(new Tx(FXt+e+'"'));t.a=sMt(t.f)}else fpt(t,new DL(c));for(t.d=u.a.length,r=0;r<u.a.length&&(45==(i=hW(u.a,r))||48==i);++r)--t.d;0==t.d&&(t.d=1)}function RGt(){RGt=I,JMt(hse=new wQ,(kYt(),gMe),yMe),JMt(hse,TMe,yMe),JMt(hse,TMe,xMe),JMt(hse,lMe,wMe),JMt(hse,lMe,yMe),JMt(hse,pMe,yMe),JMt(hse,pMe,mMe),JMt(hse,_Me,fMe),JMt(hse,_Me,yMe),JMt(hse,vMe,dMe),JMt(hse,vMe,yMe),JMt(hse,vMe,mMe),JMt(hse,vMe,fMe),JMt(hse,dMe,vMe),JMt(hse,dMe,xMe),JMt(hse,dMe,wMe),JMt(hse,dMe,yMe),JMt(hse,kMe,kMe),JMt(hse,kMe,mMe),JMt(hse,kMe,xMe),JMt(hse,bMe,bMe),JMt(hse,bMe,mMe),JMt(hse,bMe,wMe),JMt(hse,EMe,EMe),JMt(hse,EMe,fMe),JMt(hse,EMe,xMe),JMt(hse,hMe,hMe),JMt(hse,hMe,fMe),JMt(hse,hMe,wMe),JMt(hse,mMe,pMe),JMt(hse,mMe,vMe),JMt(hse,mMe,kMe),JMt(hse,mMe,bMe),JMt(hse,mMe,yMe),JMt(hse,mMe,mMe),JMt(hse,mMe,xMe),JMt(hse,mMe,wMe),JMt(hse,fMe,_Me),JMt(hse,fMe,vMe),JMt(hse,fMe,EMe),JMt(hse,fMe,hMe),JMt(hse,fMe,fMe),JMt(hse,fMe,xMe),JMt(hse,fMe,wMe),JMt(hse,fMe,yMe),JMt(hse,xMe,TMe),JMt(hse,xMe,dMe),JMt(hse,xMe,kMe),JMt(hse,xMe,EMe),JMt(hse,xMe,mMe),JMt(hse,xMe,fMe),JMt(hse,xMe,xMe),JMt(hse,xMe,yMe),JMt(hse,wMe,lMe),JMt(hse,wMe,dMe),JMt(hse,wMe,bMe),JMt(hse,wMe,hMe),JMt(hse,wMe,mMe),JMt(hse,wMe,fMe),JMt(hse,wMe,wMe),JMt(hse,wMe,yMe),JMt(hse,yMe,gMe),JMt(hse,yMe,TMe),JMt(hse,yMe,lMe),JMt(hse,yMe,pMe),JMt(hse,yMe,_Me),JMt(hse,yMe,vMe),JMt(hse,yMe,dMe),JMt(hse,yMe,mMe),JMt(hse,yMe,fMe),JMt(hse,yMe,xMe),JMt(hse,yMe,wMe),JMt(hse,yMe,yMe)}function $Gt(t,e,i){var r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x,k,_,E;for(t.d=new PA(RXt,RXt),t.c=new PA($Xt,$Xt),f=e.Kc();f.Ob();)for(m=new Kd(zz(f.Pb(),37).a);m.a<m.c.c.length;)y=zz(t0(m),10),t.d.a=n.Math.min(t.d.a,y.n.a-y.d.b),t.d.b=n.Math.min(t.d.b,y.n.b-y.d.d),t.c.a=n.Math.max(t.c.a,y.n.a+y.o.a+y.d.c),t.c.b=n.Math.max(t.c.b,y.n.b+y.o.b+y.d.a);for(c=new Vy,h=e.Kc();h.Ob();)r=cGt(t,zz(h.Pb(),37)),Kz(c.a,r),r.a=r.a|!zz(vTt(r.c,(hKt(),Ghe)),21).dc();for(t.b=(Slt(),(E=new ve).f=new mit(i),E.b=uZt(E.f,c),E),_Zt((g=t.b,new Gm,g)),t.e=new Zk,t.a=t.b.f.e,s=new Kd(c.a);s.a<s.c.c.length;)for(a=zz(t0(s),841),v=LQ(t.b,a),eRt(a.c,v.a,v.b),b=new Kd(a.c.a);b.a<b.c.c.length;)(p=zz(t0(b),10)).k==(cCt(),Tse)&&(w=dOt(t,p.n,zz(vTt(p,(hKt(),Xhe)),61)),YF(xI(p.n),w));for(o=new Kd(c.a);o.a<o.c.c.length;)for(l=new Kd(pft(a=zz(t0(o),841)));l.a<l.c.c.length;)for(RP(_=new Rk((u=zz(t0(l),17)).a),0,b1(u.c)),Bq(_,b1(u.d)),d=null,k=lwt(_,0);k.b!=k.d.c;)x=zz(d3(k),8),d?(cnt(d.a,x.a)?(t.e.a=n.Math.min(t.e.a,d.a),t.a.a=n.Math.max(t.a.a,d.a)):cnt(d.b,x.b)&&(t.e.b=n.Math.min(t.e.b,d.b),t.a.b=n.Math.max(t.a.b,d.b)),d=x):d=x;HP(t.e),YF(t.a,t.e)}function jGt(t){XDt(t.b,X8t,Ast(Zx(Vee,1),lWt,2,6,[Q8t,"ConsistentTransient"])),XDt(t.a,X8t,Ast(Zx(Vee,1),lWt,2,6,[Q8t,"WellFormedSourceURI"])),XDt(t.o,X8t,Ast(Zx(Vee,1),lWt,2,6,[Q8t,"InterfaceIsAbstract AtMostOneID UniqueFeatureNames UniqueOperationSignatures NoCircularSuperTypes WellFormedMapEntryClass ConsistentSuperTypes DisjointFeatureAndOperationSignatures"])),XDt(t.p,X8t,Ast(Zx(Vee,1),lWt,2,6,[Q8t,"WellFormedInstanceTypeName UniqueTypeParameterNames"])),XDt(t.v,X8t,Ast(Zx(Vee,1),lWt,2,6,[Q8t,"UniqueEnumeratorNames UniqueEnumeratorLiterals"])),XDt(t.R,X8t,Ast(Zx(Vee,1),lWt,2,6,[Q8t,"WellFormedName"])),XDt(t.T,X8t,Ast(Zx(Vee,1),lWt,2,6,[Q8t,"UniqueParameterNames UniqueTypeParameterNames NoRepeatingVoid"])),XDt(t.U,X8t,Ast(Zx(Vee,1),lWt,2,6,[Q8t,"WellFormedNsURI WellFormedNsPrefix UniqueSubpackageNames UniqueClassifierNames UniqueNsURIs"])),XDt(t.W,X8t,Ast(Zx(Vee,1),lWt,2,6,[Q8t,"ConsistentOpposite SingleContainer ConsistentKeys ConsistentUnique ConsistentContainer"])),XDt(t.bb,X8t,Ast(Zx(Vee,1),lWt,2,6,[Q8t,"ValidDefaultValueLiteral"])),XDt(t.eb,X8t,Ast(Zx(Vee,1),lWt,2,6,[Q8t,"ValidLowerBound ValidUpperBound ConsistentBounds ValidType"])),XDt(t.H,X8t,Ast(Zx(Vee,1),lWt,2,6,[Q8t,"ConsistentType ConsistentBounds ConsistentArguments"]))}function zGt(t,e,n){var i,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x;if(!e.dc()){if(r=new xm,h=(o=n||zz(e.Xb(0),17)).c,wPt(),(u=h.i.k)!=(cCt(),Ase)&&u!=Mse&&u!=Tse&&u!=Ese)throw qw(new $v("The target node of the edge must be a normal node or a northSouthPort."));for(hI(r,Dct(Ast(Zx(STe,1),lWt,8,0,[h.i.n,h.n,h.a]))),(kYt(),vMe).Hc(h.j)&&(d=Zv(TB(vTt(h,(hKt(),Ofe)))),r5(r,new PA(Dct(Ast(Zx(STe,1),lWt,8,0,[h.i.n,h.n,h.a])).a,d),r.c.b,r.c)),c=null,i=!1,s=e.Kc();s.Ob();)0!=(a=zz(s.Pb(),17).a).b&&(i?(r5(r,xO(YF(c,(SP(0!=a.b),zz(a.a.a.c,8))),.5),r.c.b,r.c),i=!1):i=!0,c=zD((SP(0!=a.b),zz(a.c.b.c,8))),zrt(r,a),vX(a));f=o.d,vMe.Hc(f.j)&&(d=Zv(TB(vTt(f,(hKt(),Ofe)))),r5(r,new PA(Dct(Ast(Zx(STe,1),lWt,8,0,[f.i.n,f.n,f.a])).a,d),r.c.b,r.c)),hI(r,Dct(Ast(Zx(STe,1),lWt,8,0,[f.i.n,f.n,f.a]))),t.d==(Gut(),nme)&&(SP(0!=r.b),g=zz(r.a.a.c,8),p=zz(Fwt(r,1),8),(b=new GJ(hut(h.j))).a*=5,b.b*=5,w=GF(new PA(p.a,p.b),g),YF(y=new PA(iJ(b.a,w.a),iJ(b.b,w.b)),g),tG(lwt(r,1),y),SP(0!=r.b),m=zz(r.c.b.c,8),v=zz(Fwt(r,r.b-2),8),(b=new GJ(hut(f.j))).a*=5,b.b*=5,w=GF(new PA(v.a,v.b),m),YF(x=new PA(iJ(b.a,w.a),iJ(b.b,w.b)),m),RP(r,r.b-1,x)),l=new uzt(r),zrt(o.a,zyt(l))}}function qGt(t,e,i,r){var a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x,k,_,E,T,C,S,A,M,I,L,D,O,N,P;if(v=(y=zz(Wet((!t.b&&(t.b=new lR(RIe,t,4,7)),t.b),0),82)).Dg(),x=y.Eg(),m=y.Cg()/2,g=y.Bg()/2,aO(y,186)&&(v+=KQ(w=zz(y,118)).i,v+=KQ(w).i),v+=m,x+=g,A=(C=zz(Wet((!t.b&&(t.b=new lR(RIe,t,4,7)),t.b),0),82)).Dg(),M=C.Eg(),S=C.Cg()/2,k=C.Bg()/2,aO(C,186)&&(A+=KQ(T=zz(C,118)).i,A+=KQ(T).i),A+=S,M+=k,0==(!t.a&&(t.a=new nY(jIe,t,6,6)),t.a).i)e_(),c=new oc,h8((!t.a&&(t.a=new nY(jIe,t,6,6)),t.a),c);else if((!t.a&&(t.a=new nY(jIe,t,6,6)),t.a).i>1)for(d=new aP((!t.a&&(t.a=new nY(jIe,t,6,6)),t.a));d.e!=d.i.gc();)Vkt(d);for(p=A,A>v+m?p=v+m:A<v-m&&(p=v-m),b=M,M>x+g?b=x+g:M<x-g&&(b=x-g),p>v-m&&p<v+m&&b>x-g&&b<x+g&&(p=v+m),Int(s=zz(Wet((!t.a&&(t.a=new nY(jIe,t,6,6)),t.a),0),202),p),Dnt(s,b),_=v,v>A+S?_=A+S:v<A-S&&(_=A-S),E=x,x>M+k?E=M+k:x<M-k&&(E=M-k),_>A-S&&_<A+S&&E>M-k&&E<M+k&&(E=M+k),Tnt(s,_),Lnt(s,E),lHt((!s.a&&(s.a=new DO(PIe,s,5)),s.a)),o=yyt(e,5),y==C&&++o,L=_-p,N=E-b,l=.20000000298023224*n.Math.sqrt(L*L+N*N),D=L/(o+1),P=N/(o+1),I=p,O=b,u=0;u<o;u++)O+=P,(h=(I+=D)+HDt(e,24)*cVt*l-l/2)<0?h=1:h>i&&(h=i-1),(f=O+HDt(e,24)*cVt*l-l/2)<0?f=1:f>r&&(f=r-1),e_(),_nt(a=new ac,h),Ent(a,f),h8((!s.a&&(s.a=new DO(PIe,s,5)),s.a),a)}function HGt(){HGt=I,lKt(),wwe=kSe,ywe=_Se,mwe=ESe,vwe=TSe,kwe=CSe,_we=SSe,Cwe=MSe,Awe=LSe,Mwe=DSe,Swe=ISe,Iwe=OSe,Dwe=NSe,Nwe=FSe,Twe=ASe,fKt(),bwe=$ge,xwe=jge,Ewe=zge,Lwe=qge,lwe=new GL(wSe,rft(0)),hwe=Bge,fwe=Fge,dwe=Rge,Uwe=fpe,Fwe=Uge,Rwe=Kge,zwe=npe,$we=Vge,jwe=Jge,Gwe=wpe,Ywe=gpe,Hwe=cpe,qwe=ope,Zwe=lpe,Fbe=Sge,Rbe=Age,rbe=Rde,abe=zde,Ybe=new KL(12),Ube=new GL(GCe,Ybe),Cdt(),Jpe=new GL(yCe,tbe=XSe),ewe=new GL(oSe,0),gwe=new GL(ySe,rft(1)),_pe=new GL(aCe,bJt),Zbe=UCe,nwe=sSe,swe=gSe,Upe=fCe,xpe=iCe,ube=_Ce,pwe=new GL(xSe,(lN(),!0)),gbe=CCe,pbe=SCe,jbe=RCe,Hbe=HCe,zbe=jCe,zht(),Ype=new GL(dCe,Kpe=zSe),Dbe=BCe,Lbe=NCe,awe=hSe,rwe=lSe,owe=dSe,owt(),new GL(JCe,Wbe=HAe),Vbe=nSe,Qbe=iSe,Jbe=rSe,Xbe=eSe,Bwe=Zge,Sbe=fge,Cbe=lge,Pwe=Hge,xbe=nge,Zpe=Ede,Hpe=kde,Ppe=sde,Bpe=cde,Rpe=dde,Fpe=ude,qpe=vde,Mbe=gge,Ibe=pge,wbe=Wde,$be=Dge,Nbe=mge,sbe=Zde,Bbe=Tge,nbe=Nde,ibe=Bde,Npe=lCe,Obe=bge,Spe=Xfe,Cpe=Kfe,Tpe=Gfe,hbe=Gde,lbe=Yde,fbe=Kde,qbe=zCe,ybe=ICe,obe=vCe,Vpe=bCe,Xpe=pCe,$pe=bde,iwe=uSe,Epe=uCe,dbe=TCe,twe=aSe,Gbe=WCe,Kbe=VCe,_be=age,Ebe=sge,uwe=bSe,kpe=Yfe,Tbe=uge,Qpe=Ide,Wpe=Ade,Abe=DCe,mbe=Jde,Pbe=kge,Owe=PSe,Gpe=Cde,cwe=Nge,ebe=Dde,vbe=ege,jpe=yde,bbe=MCe,kbe=rge,zpe=mde,Ope=ade,Lpe=nde,Mpe=tde,Ipe=ede,Dpe=rde,Ape=Qfe,cbe=Ude}function ZGt(t,e){var n,i,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x,k,_,E,T,C,S,A;if(cqt(),E=t.e,g=t.d,r=t.a,0==E)switch(e){case 0:return"0";case 1:return WXt;case 2:return"0.00";case 3:return"0.000";case 4:return"0.0000";case 5:return"0.00000";case 6:return"0.000000";default:return(k=new 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i,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x;switch(t.c=e,t.g=new Pw,ZT(),ngt(new Sg(new Bv(t.c))),y=CB(tDt(t.c,(CTt(),pEe))),s=zz(tDt(t.c,wEe),316),v=zz(tDt(t.c,yEe),429),a=zz(tDt(t.c,lEe),482),m=zz(tDt(t.c,bEe),430),t.j=Zv(TB(tDt(t.c,mEe))),o=t.a,s.g){case 0:o=t.a;break;case 1:o=t.b;break;case 2:o=t.i;break;case 3:o=t.e;break;case 4:o=t.f;break;default:throw qw(new $v(P4t+(null!=s.f?s.f:""+s.g)))}if(t.d=new BQ(o,v,a),hct(t.d,(Kat(),Xre),EB(tDt(t.c,fEe))),t.d.c=Hv(EB(tDt(t.c,hEe))),0==VX(t.c).i)return t.d;for(l=new LO(VX(t.c));l.e!=l.i.gc();){for(f=(u=zz(kwt(l),33)).g/2,h=u.f/2,x=new PA(u.i+f,u.j+h);lY(t.g,x);)$P(x,(n.Math.random()-.5)*dJt,(n.Math.random()-.5)*dJt);g=zz(tDt(u,(lKt(),DCe)),142),p=new LJ(x,new YW(x.a-f-t.j/2-g.b,x.b-h-t.j/2-g.d,u.g+t.j+(g.b+g.c),u.f+t.j+(g.d+g.a))),Kz(t.d.i,p),WK(t.g,x,new rM(p,u))}switch(m.g){case 0:if(null==y)t.d.d=zz(PH(t.d.i,0),65);else for(w=new Kd(t.d.i);w.a<w.c.c.length;)p=zz(t0(w),65),null!=(d=zz(zz(FG(t.g,p.a),46).b,33).zg())&&mR(d,y)&&(t.d.d=p);break;case 1:for((i=new PA(t.c.g,t.c.f)).a*=.5,i.b*=.5,$P(i,t.c.i,t.c.j),r=RXt,b=new Kd(t.d.i);b.a<b.c.c.length;)(c=K7((p=zz(t0(b),65)).a,i))<r&&(r=c,t.d.d=p);break;default:throw qw(new $v(P4t+(null!=m.f?m.f:""+m.g)))}return t.d}function YGt(t,e,i){var r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x,k,_;for(k=zz(Wet((!t.a&&(t.a=new nY(jIe,t,6,6)),t.a),0),202),h=new xm,x=new Pw,_=njt(k),_At(x.f,k,_),d=new Pw,r=new VE,p=NY(Wnt(Ast(Zx(Bte,1),HKt,20,0,[(!e.d&&(e.d=new lR($Ie,e,8,5)),e.d),(!e.e&&(e.e=new lR($Ie,e,7,4)),e.e)])));bLt(p);){if(g=zz(Y5(p),79),1!=(!t.a&&(t.a=new nY(jIe,t,6,6)),t.a).i)throw qw(new $v(q5t+(!t.a&&(t.a=new nY(jIe,t,6,6)),t.a).i));g!=t&&(r5(r,w=zz(Wet((!g.a&&(g.a=new nY(jIe,g,6,6)),g.a),0),202),r.c.b,r.c),(b=zz(HM(LV(x.f,w)),12))||(b=njt(w),_At(x.f,w,b)),f=i?GF(new gL(zz(PH(_,_.c.length-1),8)),zz(PH(b,b.c.length-1),8)):GF(new gL((f1(0,_.c.length),zz(_.c[0],8))),(f1(0,b.c.length),zz(b.c[0],8))),_At(d.f,w,f))}if(0!=r.b)for(y=zz(PH(_,i?_.c.length-1:0),8),l=1;l<_.c.length;l++){for(m=zz(PH(_,i?_.c.length-1-l:l),8),a=lwt(r,0);a.b!=a.d.c;)w=zz(d3(a),202),(b=zz(HM(LV(x.f,w)),12)).c.length<=l?vet(a):(v=YF(new gL(zz(PH(b,i?b.c.length-1-l:l),8)),zz(HM(LV(d.f,w)),8)),m.a==v.a&&m.b==v.b||(o=m.a-y.a,c=m.b-y.b,(s=v.a-y.a)*c==(u=v.b-y.b)*o&&(0==o||isNaN(o)?o:o<0?-1:1)==(0==s||isNaN(s)?s:s<0?-1:1)&&(0==c||isNaN(c)?c:c<0?-1:1)==(0==u||isNaN(u)?u:u<0?-1:1)?(n.Math.abs(o)<n.Math.abs(s)||n.Math.abs(c)<n.Math.abs(u))&&r5(h,m,h.c.b,h.c):l>1&&r5(h,y,h.c.b,h.c),vet(a)));y=m}return h}function GGt(t,e,n){var i,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x,k,_,E,T,C,S,A,M,I,L;for(LEt(n,"Greedy cycle removal",1),L=(m=e.a).c.length,t.a=P7(LNe,hXt,25,L,15,1),t.c=P7(LNe,hXt,25,L,15,1),t.b=P7(LNe,hXt,25,L,15,1),u=0,w=new Kd(m);w.a<w.c.c.length;){for((p=zz(t0(w),10)).p=u,E=new Kd(p.j);E.a<E.c.c.length;){for(s=new Kd((x=zz(t0(E),11)).e);s.a<s.c.c.length;)(i=zz(t0(s),17)).c.i!=p&&(C=zz(vTt(i,(HGt(),hwe)),19).a,t.a[u]+=C>0?C+1:1);for(o=new Kd(x.g);o.a<o.c.c.length;)(i=zz(t0(o),17)).d.i!=p&&(C=zz(vTt(i,(HGt(),hwe)),19).a,t.c[u]+=C>0?C+1:1)}0==t.c[u]?Bq(t.e,p):0==t.a[u]&&Bq(t.f,p),++u}for(g=-1,d=1,h=new Nw,t.d=zz(vTt(e,(hKt(),Cfe)),230);L>0;){for(;0!=t.e.b;)A=zz(pq(t.e),10),t.b[A.p]=g--,VRt(t,A),--L;for(;0!=t.f.b;)M=zz(pq(t.f),10),t.b[M.p]=d++,VRt(t,M),--L;if(L>0){for(f=jWt,y=new Kd(m);y.a<y.c.c.length;)p=zz(t0(y),10),0==t.b[p.p]&&(v=t.c[p.p]-t.a[p.p])>=f&&(v>f&&(h.c=P7(Dte,HKt,1,0,5,1),f=v),h.c[h.c.length]=p);l=t.Zf(h),t.b[l.p]=d++,VRt(t,l),--L}}for(S=m.c.length+1,u=0;u<m.c.length;u++)t.b[u]<0&&(t.b[u]+=S);for(b=new Kd(m);b.a<b.c.c.length;)for(_=0,T=(k=M2((p=zz(t0(b),10)).j)).length;_<T;++_)for(a=0,c=(r=J0((x=k[_]).g)).length;a<c;++a)I=(i=r[a]).d.i.p,t.b[p.p]>t.b[I]&&(nzt(i,!0),hct(e,Hhe,(lN(),!0)));t.a=null,t.c=null,t.b=null,vX(t.f),vX(t.e),HCt(n)}function KGt(t,e){var n,i,r,a,o,s,c,u,l,h,f,d,g,p,b,w;for(i=new Nw,s=new Nw,b=e/2,d=t.gc(),r=zz(t.Xb(0),8),w=zz(t.Xb(1),8),Kz(i,(f1(0,(g=VLt(r.a,r.b,w.a,w.b,b)).c.length),zz(g.c[0],8))),Kz(s,(f1(1,g.c.length),zz(g.c[1],8))),u=2;u<d;u++)p=r,r=w,w=zz(t.Xb(u),8),Kz(i,(f1(1,(g=VLt(r.a,r.b,p.a,p.b,b)).c.length),zz(g.c[1],8))),Kz(s,(f1(0,g.c.length),zz(g.c[0],8))),Kz(i,(f1(0,(g=VLt(r.a,r.b,w.a,w.b,b)).c.length),zz(g.c[0],8))),Kz(s,(f1(1,g.c.length),zz(g.c[1],8)));for(Kz(i,(f1(1,(g=VLt(w.a,w.b,r.a,r.b,b)).c.length),zz(g.c[1],8))),Kz(s,(f1(0,g.c.length),zz(g.c[0],8))),n=new xm,o=new Nw,Bq(n,(f1(0,i.c.length),zz(i.c[0],8))),l=1;l<i.c.length-2;l+=2)f1(l,i.c.length),a=zz(i.c[l],8),f=ZSt((f1(l-1,i.c.length),zz(i.c[l-1],8)),a,(f1(l+1,i.c.length),zz(i.c[l+1],8)),(f1(l+2,i.c.length),zz(i.c[l+2],8))),isFinite(f.a)&&isFinite(f.b)?r5(n,f,n.c.b,n.c):r5(n,a,n.c.b,n.c);for(Bq(n,zz(PH(i,i.c.length-1),8)),Kz(o,(f1(0,s.c.length),zz(s.c[0],8))),h=1;h<s.c.length-2;h+=2)f1(h,s.c.length),a=zz(s.c[h],8),f=ZSt((f1(h-1,s.c.length),zz(s.c[h-1],8)),a,(f1(h+1,s.c.length),zz(s.c[h+1],8)),(f1(h+2,s.c.length),zz(s.c[h+2],8))),isFinite(f.a)&&isFinite(f.b)?o.c[o.c.length]=f:o.c[o.c.length]=a;for(Kz(o,zz(PH(s,s.c.length-1),8)),c=o.c.length-1;c>=0;c--)Bq(n,(f1(c,o.c.length),zz(o.c[c],8)));return n}function WGt(t){var e,n,i,r,a,o,s,c,u,l,h,f,d;if(o=!0,h=null,i=null,r=null,e=!1,d=xLe,u=null,a=null,(c=Xbt(t,s=0,LLe,DLe))<t.length&&(d1(c,t.length),58==t.charCodeAt(c))&&(h=t.substr(s,c-s),s=c+1),n=null!=h&&PE(kLe,h.toLowerCase())){if(-1==(c=t.lastIndexOf("!/")))throw qw(new $v("no archive 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aFt(o,h,i,r,e,d,u,a)}function XGt(t,e){var i,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x,k,_,E,T,C,S,A,M,I,L,D;for(I=new Nw,g=new Kd(e.b);g.a<g.c.c.length;)for(x=new Kd(zz(t0(g),29).a);x.a<x.c.c.length;){for((v=zz(t0(x),10)).p=-1,f=jWt,E=jWt,C=new Kd(v.j);C.a<C.c.c.length;){for(a=new Kd((T=zz(t0(C),11)).e);a.a<a.c.c.length;)i=zz(t0(a),17),S=zz(vTt(i,(HGt(),dwe)),19).a,f=n.Math.max(f,S);for(r=new Kd(T.g);r.a<r.c.c.length;)i=zz(t0(r),17),S=zz(vTt(i,(HGt(),dwe)),19).a,E=n.Math.max(E,S)}hct(v,Gme,rft(f)),hct(v,Kme,rft(E))}for(w=0,d=new Kd(e.b);d.a<d.c.c.length;)for(x=new Kd(zz(t0(d),29).a);x.a<x.c.c.length;)(v=zz(t0(x),10)).p<0&&((M=new rm).b=w++,_Ft(t,v,M),I.c[I.c.length]=M);for(_=uP(I.c.length),h=uP(I.c.length),s=0;s<I.c.length;s++)Kz(_,new Nw),Kz(h,rft(0));for(mUt(e,I,_,h),L=zz(Vbt(I,P7(Vme,L3t,257,I.c.length,0,1)),840),k=zz(Vbt(_,P7(Rte,eJt,15,_.c.length,0,1)),192),l=P7(LNe,hXt,25,h.c.length,15,1),c=0;c<l.length;c++)l[c]=(f1(c,h.c.length),zz(h.c[c],19)).a;for(y=0,m=new Nw,u=0;u<L.length;u++)0==l[u]&&Kz(m,L[u]);for(b=P7(LNe,hXt,25,L.length,15,1);0!=m.c.length;)for(b[(M=zz(u6(m,0),257)).b]=y++;!k[M.b].dc();)--l[(D=zz(k[M.b].$c(0),257)).b],0==l[D.b]&&(m.c[m.c.length]=D);for(t.a=P7(Vme,L3t,257,L.length,0,1),o=0;o<L.length;o++)for(p=L[o],A=b[o],t.a[A]=p,p.b=A,x=new Kd(p.e);x.a<x.c.c.length;)(v=zz(t0(x),10)).p=A;return t.a}function VGt(t){var e,n,i;if(t.d>=t.j)return t.a=-1,void(t.c=1);if(e=hW(t.i,t.d++),t.a=e,1!=t.b){switch(e){case 124:i=2;break;case 42:i=3;break;case 43:i=4;break;case 63:i=5;break;case 41:i=7;break;case 46:i=8;break;case 91:i=9;break;case 94:i=11;break;case 36:i=12;break;case 40:if(i=6,t.d>=t.j)break;if(63!=hW(t.i,t.d))break;if(++t.d>=t.j)throw qw(new ox(kKt((sD(),y7t))));switch(e=hW(t.i,t.d++)){case 58:i=13;break;case 61:i=14;break;case 33:i=15;break;case 91:i=19;break;case 62:i=18;break;case 60:if(t.d>=t.j)throw qw(new ox(kKt((sD(),y7t))));if(61==(e=hW(t.i,t.d++)))i=16;else{if(33!=e)throw qw(new ox(kKt((sD(),m7t))));i=17}break;case 35:for(;t.d<t.j&&41!=(e=hW(t.i,t.d++)););if(41!=e)throw qw(new ox(kKt((sD(),v7t))));i=21;break;default:if(45==e||97<=e&&e<=122||65<=e&&e<=90){--t.d,i=22;break}if(40==e){i=23;break}throw qw(new ox(kKt((sD(),y7t))))}break;case 92:if(i=10,t.d>=t.j)throw qw(new ox(kKt((sD(),w7t))));t.a=hW(t.i,t.d++);break;default:i=0}t.c=i}else{switch(e){case 92:if(i=10,t.d>=t.j)throw qw(new ox(kKt((sD(),w7t))));t.a=hW(t.i,t.d++);break;case 45:512==(512&t.e)&&t.d<t.j&&91==hW(t.i,t.d)?(++t.d,i=24):i=0;break;case 91:if(512!=(512&t.e)&&t.d<t.j&&58==hW(t.i,t.d)){++t.d,i=20;break}default:(64512&e)==HXt&&t.d<t.j&&56320==(64512&(n=hW(t.i,t.d)))&&(t.a=qXt+(e-HXt<<10)+n-56320,++t.d),i=0}t.c=i}}function QGt(t){var e,n,i,r,a,o,s,c,u,h,f,d,g,p,b,w,y,m,v,x,k,_,E,T,C,S;if((k=zz(vTt(t,(HGt(),nwe)),98))!=(V_t(),XAe)&&k!=VAe){for(u=new Q6((dit((d=(g=t.b).c.length)+2,PWt),eet(adt(adt(5,d+2),(d+2)/10|0)))),p=new Q6((dit(d+2,PWt),eet(adt(adt(5,d+2),(d+2)/10|0)))),Kz(u,new Pw),Kz(u,new Pw),Kz(p,new Nw),Kz(p,new Nw),x=new Nw,e=0;e<d;e++)for(f1(e,g.c.length),n=zz(g.c[e],29),f1(e,u.c.length),_=zz(u.c[e],83),b=new Pw,u.c[u.c.length]=b,f1(e,p.c.length),T=zz(p.c[e],15),y=new Nw,p.c[p.c.length]=y,r=new Kd(n.a);r.a<r.c.c.length;)if(oft(i=zz(t0(r),10)))x.c[x.c.length]=i;else{for(c=new cU(JO(fdt(i).a.Kc(),new l));bLt(c);)oft(C=(o=zz(Y5(c),17)).c.i)&&((E=zz(_.xc(vTt(C,(hKt(),pfe))),10))||(E=uMt(t,C),_.zc(vTt(C,pfe),E),T.Fc(E)),CJ(o,zz(PH(E.j,1),11)));for(s=new cU(JO(ddt(i).a.Kc(),new l));bLt(s);)oft(S=(o=zz(Y5(s),17)).d.i)&&((w=zz(FG(b,vTt(S,(hKt(),pfe))),10))||(w=uMt(t,S),WK(b,vTt(S,pfe),w),y.c[y.c.length]=w),TJ(o,zz(PH(w.j,0),11)))}for(h=0;h<p.c.length;h++)if(f1(h,p.c.length),!(m=zz(p.c[h],15)).dc())for(f=null,0==h?(f=new qG(t),OJ(0,g.c.length),TC(g.c,0,f)):h==u.c.length-1?(f=new qG(t),g.c[g.c.length]=f):(f1(h-1,g.c.length),f=zz(g.c[h-1],29)),a=m.Kc();a.Ob();)SJ(zz(a.Pb(),10),f);for(v=new Kd(x);v.a<v.c.c.length;)SJ(zz(t0(v),10),null);hct(t,(hKt(),Khe),x)}}function JGt(t,e,n){var i,r,a,o,s,c,u,h,f,d,g,p,b,w,y,m,v,x,k;if(LEt(n,"Coffman-Graham Layering",1),0!=e.a.c.length){for(k=zz(vTt(e,(HGt(),mbe)),19).a,c=0,o=0,d=new Kd(e.a);d.a<d.c.c.length;)for((f=zz(t0(d),10)).p=c++,a=new cU(JO(ddt(f).a.Kc(),new l));bLt(a);)(r=zz(Y5(a),17)).p=o++;for(t.d=P7(DNe,tQt,25,c,16,1),t.a=P7(DNe,tQt,25,o,16,1),t.b=P7(LNe,hXt,25,c,15,1),t.e=P7(LNe,hXt,25,c,15,1),t.f=P7(LNe,hXt,25,c,15,1),pit(t.c),a_t(t,e),p=new GU(new Bp(t)),x=new Kd(e.a);x.a<x.c.c.length;){for(a=new cU(JO(fdt(m=zz(t0(x),10)).a.Kc(),new l));bLt(a);)r=zz(Y5(a),17),t.a[r.p]||++t.b[m.p];0==t.b[m.p]&&j7(iTt(p,m))}for(s=0;0!=p.b.c.length;)for(m=zz(mtt(p),10),t.f[m.p]=s++,a=new cU(JO(ddt(m).a.Kc(),new l));bLt(a);)r=zz(Y5(a),17),t.a[r.p]||(w=r.d.i,--t.b[w.p],JMt(t.c,w,rft(t.f[m.p])),0==t.b[w.p]&&j7(iTt(p,w)));for(g=new GU(new Fp(t)),v=new Kd(e.a);v.a<v.c.c.length;){for(a=new cU(JO(ddt(m=zz(t0(v),10)).a.Kc(),new l));bLt(a);)r=zz(Y5(a),17),t.a[r.p]||++t.e[m.p];0==t.e[m.p]&&j7(iTt(g,m))}for(i=r1(e,h=new Nw);0!=g.b.c.length;)for(y=zz(mtt(g),10),(i.a.c.length>=k||!Ppt(y,i))&&(i=r1(e,h)),SJ(y,i),a=new cU(JO(fdt(y).a.Kc(),new l));bLt(a);)r=zz(Y5(a),17),t.a[r.p]||(b=r.c.i,--t.e[b.p],0==t.e[b.p]&&j7(iTt(g,b)));for(u=h.c.length-1;u>=0;--u)Kz(e.b,(f1(u,h.c.length),zz(h.c[u],29)));e.a.c=P7(Dte,HKt,1,0,5,1),HCt(n)}else HCt(n)}function tKt(t){var e,n,i,r,a,o,s,c;for(t.b=1,VGt(t),e=null,0==t.c&&94==t.a?(VGt(t),pKt(),pKt(),QPt(e=new T0(4),0,cte),o=new T0(4)):(pKt(),pKt(),o=new T0(4)),r=!0;1!=(c=t.c);){if(0==c&&93==t.a&&!r){e&&(WZt(e,o),o=e);break}if(n=t.a,i=!1,10==c)switch(n){case 100:case 68:case 119:case 87:case 115:case 83:lqt(o,b$t(n)),i=!0;break;case 105:case 73:case 99:case 67:lqt(o,b$t(n)),(n=-1)<0&&(i=!0);break;case 112:case 80:if(!(s=FMt(t,n)))throw qw(new ox(kKt((sD(),L7t))));lqt(o,s),i=!0;break;default:n=ZBt(t)}else if(24==c&&!r){if(e&&(WZt(e,o),o=e),WZt(o,tKt(t)),0!=t.c||93!=t.a)throw qw(new ox(kKt((sD(),P7t))));break}if(VGt(t),!i){if(0==c){if(91==n)throw qw(new ox(kKt((sD(),B7t))));if(93==n)throw qw(new ox(kKt((sD(),F7t))));if(45==n&&!r&&93!=t.a)throw qw(new ox(kKt((sD(),R7t))))}if(0!=t.c||45!=t.a||45==n&&r)QPt(o,n,n);else{if(VGt(t),1==(c=t.c))throw qw(new ox(kKt((sD(),O7t))));if(0==c&&93==t.a)QPt(o,n,n),QPt(o,45,45);else{if(0==c&&93==t.a||24==c)throw qw(new ox(kKt((sD(),R7t))));if(a=t.a,0==c){if(91==a)throw qw(new ox(kKt((sD(),B7t))));if(93==a)throw qw(new ox(kKt((sD(),F7t))));if(45==a)throw qw(new ox(kKt((sD(),R7t))))}else 10==c&&(a=ZBt(t));if(VGt(t),n>a)throw qw(new ox(kKt((sD(),z7t))));QPt(o,n,a)}}}r=!1}if(1==t.c)throw qw(new ox(kKt((sD(),O7t))));return TDt(o),Zqt(o),t.b=0,VGt(t),o}function eKt(t){XDt(t.c,j8t,Ast(Zx(Vee,1),lWt,2,6,[J8t,"http://www.w3.org/2001/XMLSchema#decimal"])),XDt(t.d,j8t,Ast(Zx(Vee,1),lWt,2,6,[J8t,"http://www.w3.org/2001/XMLSchema#integer"])),XDt(t.e,j8t,Ast(Zx(Vee,1),lWt,2,6,[J8t,"http://www.w3.org/2001/XMLSchema#boolean"])),XDt(t.f,j8t,Ast(Zx(Vee,1),lWt,2,6,[J8t,"EBoolean",n7t,"EBoolean:Object"])),XDt(t.i,j8t,Ast(Zx(Vee,1),lWt,2,6,[J8t,"http://www.w3.org/2001/XMLSchema#byte"])),XDt(t.g,j8t,Ast(Zx(Vee,1),lWt,2,6,[J8t,"http://www.w3.org/2001/XMLSchema#hexBinary"])),XDt(t.j,j8t,Ast(Zx(Vee,1),lWt,2,6,[J8t,"EByte",n7t,"EByte:Object"])),XDt(t.n,j8t,Ast(Zx(Vee,1),lWt,2,6,[J8t,"EChar",n7t,"EChar:Object"])),XDt(t.t,j8t,Ast(Zx(Vee,1),lWt,2,6,[J8t,"http://www.w3.org/2001/XMLSchema#double"])),XDt(t.u,j8t,Ast(Zx(Vee,1),lWt,2,6,[J8t,"EDouble",n7t,"EDouble:Object"])),XDt(t.F,j8t,Ast(Zx(Vee,1),lWt,2,6,[J8t,"http://www.w3.org/2001/XMLSchema#float"])),XDt(t.G,j8t,Ast(Zx(Vee,1),lWt,2,6,[J8t,"EFloat",n7t,"EFloat:Object"])),XDt(t.I,j8t,Ast(Zx(Vee,1),lWt,2,6,[J8t,"http://www.w3.org/2001/XMLSchema#int"])),XDt(t.J,j8t,Ast(Zx(Vee,1),lWt,2,6,[J8t,"EInt",n7t,"EInt:Object"])),XDt(t.N,j8t,Ast(Zx(Vee,1),lWt,2,6,[J8t,"http://www.w3.org/2001/XMLSchema#long"])),XDt(t.O,j8t,Ast(Zx(Vee,1),lWt,2,6,[J8t,"ELong",n7t,"ELong:Object"])),XDt(t.Z,j8t,Ast(Zx(Vee,1),lWt,2,6,[J8t,"http://www.w3.org/2001/XMLSchema#short"])),XDt(t.$,j8t,Ast(Zx(Vee,1),lWt,2,6,[J8t,"EShort",n7t,"EShort:Object"])),XDt(t._,j8t,Ast(Zx(Vee,1),lWt,2,6,[J8t,"http://www.w3.org/2001/XMLSchema#string"]))}function nKt(t){var e,i,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x,k,_,E,T,C,S,A;if(1==t.c.length)return f1(0,t.c.length),zz(t.c[0],135);if(t.c.length<=0)return new S6;for(u=new Kd(t);u.a<u.c.c.length;){for(s=zz(t0(u),135),m=0,p=FKt,b=FKt,d=jWt,g=jWt,y=lwt(s.b,0);y.b!=y.d.c;)w=zz(d3(y),86),m+=zz(vTt(w,(MLt(),Dxe)),19).a,p=n.Math.min(p,w.e.a),b=n.Math.min(b,w.e.b),d=n.Math.max(d,w.e.a+w.f.a),g=n.Math.max(g,w.e.b+w.f.b);hct(s,(MLt(),Dxe),rft(m)),hct(s,(ZHt(),txe),new PA(p,b)),hct(s,Jve,new PA(d,g))}for(CX(),mD(t,new wo),Zot(x=new S6,(f1(0,t.c.length),zz(t.c[0],94))),f=0,C=0,l=new Kd(t);l.a<l.c.c.length;)s=zz(t0(l),135),k=GF(zD(zz(vTt(s,(ZHt(),Jve)),8)),zz(vTt(s,txe),8)),f=n.Math.max(f,k.a),C+=k.a*k.b;for(f=n.Math.max(f,n.Math.sqrt(C)*Zv(TB(vTt(x,(MLt(),kxe))))),S=0,A=0,h=0,e=_=Zv(TB(vTt(x,Pxe))),c=new Kd(t);c.a<c.c.c.length;)s=zz(t0(c),135),S+(k=GF(zD(zz(vTt(s,(ZHt(),Jve)),8)),zz(vTt(s,txe),8))).a>f&&(S=0,A+=h+_,h=0),EOt(x,s,S,A),e=n.Math.max(e,S+k.a),h=n.Math.max(h,k.b),S+=k.a+_;for(v=new Pw,i=new Pw,T=new Kd(t);T.a<T.c.c.length;)for(r=Hv(EB(vTt(E=zz(t0(T),135),(lKt(),fCe)))),o=(E.q?E.q:hne).vc().Kc();o.Ob();)lY(v,(a=zz(o.Pb(),42)).cd())?ZM(zz(a.cd(),146).wg())!==ZM(a.dd())&&(r&&lY(i,a.cd())?(DE(),zz(a.cd(),146).tg()):(WK(v,zz(a.cd(),146),a.dd()),hct(x,zz(a.cd(),146),a.dd()),r&&WK(i,zz(a.cd(),146),a.dd()))):(WK(v,zz(a.cd(),146),a.dd()),hct(x,zz(a.cd(),146),a.dd()));return x}function iKt(){iKt=I,RGt(),JMt(wse=new wQ,(kYt(),pMe),gMe),JMt(wse,TMe,gMe),JMt(wse,bMe,gMe),JMt(wse,kMe,gMe),JMt(wse,xMe,gMe),JMt(wse,mMe,gMe),JMt(wse,kMe,pMe),JMt(wse,gMe,lMe),JMt(wse,pMe,lMe),JMt(wse,TMe,lMe),JMt(wse,bMe,lMe),JMt(wse,vMe,lMe),JMt(wse,kMe,lMe),JMt(wse,xMe,lMe),JMt(wse,mMe,lMe),JMt(wse,dMe,lMe),JMt(wse,gMe,_Me),JMt(wse,pMe,_Me),JMt(wse,lMe,_Me),JMt(wse,TMe,_Me),JMt(wse,bMe,_Me),JMt(wse,vMe,_Me),JMt(wse,kMe,_Me),JMt(wse,dMe,_Me),JMt(wse,EMe,_Me),JMt(wse,xMe,_Me),JMt(wse,wMe,_Me),JMt(wse,mMe,_Me),JMt(wse,pMe,TMe),JMt(wse,bMe,TMe),JMt(wse,kMe,TMe),JMt(wse,mMe,TMe),JMt(wse,pMe,bMe),JMt(wse,TMe,bMe),JMt(wse,kMe,bMe),JMt(wse,bMe,bMe),JMt(wse,xMe,bMe),JMt(wse,gMe,hMe),JMt(wse,pMe,hMe),JMt(wse,lMe,hMe),JMt(wse,_Me,hMe),JMt(wse,TMe,hMe),JMt(wse,bMe,hMe),JMt(wse,vMe,hMe),JMt(wse,kMe,hMe),JMt(wse,EMe,hMe),JMt(wse,dMe,hMe),JMt(wse,mMe,hMe),JMt(wse,xMe,hMe),JMt(wse,yMe,hMe),JMt(wse,gMe,EMe),JMt(wse,pMe,EMe),JMt(wse,lMe,EMe),JMt(wse,TMe,EMe),JMt(wse,bMe,EMe),JMt(wse,vMe,EMe),JMt(wse,kMe,EMe),JMt(wse,dMe,EMe),JMt(wse,mMe,EMe),JMt(wse,wMe,EMe),JMt(wse,yMe,EMe),JMt(wse,pMe,dMe),JMt(wse,TMe,dMe),JMt(wse,bMe,dMe),JMt(wse,kMe,dMe),JMt(wse,EMe,dMe),JMt(wse,mMe,dMe),JMt(wse,xMe,dMe),JMt(wse,gMe,fMe),JMt(wse,pMe,fMe),JMt(wse,lMe,fMe),JMt(wse,TMe,fMe),JMt(wse,bMe,fMe),JMt(wse,vMe,fMe),JMt(wse,kMe,fMe),JMt(wse,dMe,fMe),JMt(wse,mMe,fMe),JMt(wse,pMe,xMe),JMt(wse,lMe,xMe),JMt(wse,_Me,xMe),JMt(wse,bMe,xMe),JMt(wse,gMe,wMe),JMt(wse,pMe,wMe),JMt(wse,_Me,wMe),JMt(wse,TMe,wMe),JMt(wse,bMe,wMe),JMt(wse,vMe,wMe),JMt(wse,kMe,wMe),JMt(wse,kMe,yMe),JMt(wse,bMe,yMe),JMt(wse,dMe,gMe),JMt(wse,dMe,TMe),JMt(wse,dMe,lMe),JMt(wse,vMe,gMe),JMt(wse,vMe,pMe),JMt(wse,vMe,_Me)}function rKt(t,e){switch(t.e){case 0:case 2:case 4:case 6:case 42:case 44:case 46:case 48:case 8:case 10:case 12:case 14:case 16:case 18:case 20:case 22:case 24:case 26:case 28:case 30:case 32:case 34:case 36:case 38:return new UX(t.b,t.a,e,t.c);case 1:return new OO(t.a,e,Dgt(e.Tg(),t.c));case 43:return new PO(t.a,e,Dgt(e.Tg(),t.c));case 3:return new DO(t.a,e,Dgt(e.Tg(),t.c));case 45:return new NO(t.a,e,Dgt(e.Tg(),t.c));case 41:return new v8(zz(Ixt(t.c),26),t.a,e,Dgt(e.Tg(),t.c));case 50:return new xit(zz(Ixt(t.c),26),t.a,e,Dgt(e.Tg(),t.c));case 5:return new iR(t.a,e,Dgt(e.Tg(),t.c),t.d.n);case 47:return new rR(t.a,e,Dgt(e.Tg(),t.c),t.d.n);case 7:return new nY(t.a,e,Dgt(e.Tg(),t.c),t.d.n);case 49:return new nR(t.a,e,Dgt(e.Tg(),t.c),t.d.n);case 9:return new jO(t.a,e,Dgt(e.Tg(),t.c));case 11:return new $O(t.a,e,Dgt(e.Tg(),t.c));case 13:return new RO(t.a,e,Dgt(e.Tg(),t.c));case 15:return new Tq(t.a,e,Dgt(e.Tg(),t.c));case 17:return new zO(t.a,e,Dgt(e.Tg(),t.c));case 19:return new FO(t.a,e,Dgt(e.Tg(),t.c));case 21:return new BO(t.a,e,Dgt(e.Tg(),t.c));case 23:return new vq(t.a,e,Dgt(e.Tg(),t.c));case 25:return new hR(t.a,e,Dgt(e.Tg(),t.c),t.d.n);case 27:return new lR(t.a,e,Dgt(e.Tg(),t.c),t.d.n);case 29:return new cR(t.a,e,Dgt(e.Tg(),t.c),t.d.n);case 31:return new aR(t.a,e,Dgt(e.Tg(),t.c),t.d.n);case 33:return new uR(t.a,e,Dgt(e.Tg(),t.c),t.d.n);case 35:return new sR(t.a,e,Dgt(e.Tg(),t.c),t.d.n);case 37:return new oR(t.a,e,Dgt(e.Tg(),t.c),t.d.n);case 39:return new iY(t.a,e,Dgt(e.Tg(),t.c),t.d.n);case 40:return new Eat(e,Dgt(e.Tg(),t.c));default:throw qw(new pv("Unknown feature style: "+t.e))}}function aKt(t,e,n){var i,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x;switch(LEt(n,"Brandes & Koepf node placement",1),t.a=e,t.c=zjt(e),i=zz(vTt(e,(HGt(),Nbe)),274),d=Hv(EB(vTt(e,Pbe))),t.d=i==(qkt(),Xle)&&!d||i==Gle,JHt(t,e),v=null,x=null,b=null,w=null,dit(4,DWt),p=new Q6(4),zz(vTt(e,Nbe),274).g){case 3:b=new ZRt(e,t.c.d,(cJ(),rve),(bQ(),tve)),p.c[p.c.length]=b;break;case 1:w=new ZRt(e,t.c.d,(cJ(),ave),(bQ(),tve)),p.c[p.c.length]=w;break;case 4:v=new ZRt(e,t.c.d,(cJ(),rve),(bQ(),eve)),p.c[p.c.length]=v;break;case 2:x=new ZRt(e,t.c.d,(cJ(),ave),(bQ(),eve)),p.c[p.c.length]=x;break;default:b=new ZRt(e,t.c.d,(cJ(),rve),(bQ(),tve)),w=new ZRt(e,t.c.d,ave,tve),v=new ZRt(e,t.c.d,rve,eve),x=new ZRt(e,t.c.d,ave,eve),p.c[p.c.length]=v,p.c[p.c.length]=x,p.c[p.c.length]=b,p.c[p.c.length]=w}for(r=new iA(e,t.c),s=new Kd(p);s.a<s.c.c.length;)AGt(r,a=zz(t0(s),180),t.b),Wzt(a);for(f=new Jvt(e,t.c),c=new Kd(p);c.a<c.c.c.length;)HUt(f,a=zz(t0(c),180));if(n.n)for(u=new Kd(p);u.a<u.c.c.length;)Iq(n,(a=zz(t0(u),180))+" size is "+mDt(a));if(h=null,t.d&&Izt(e,l=zYt(t,p,t.c.d),n)&&(h=l),!h)for(u=new Kd(p);u.a<u.c.c.length;)Izt(e,a=zz(t0(u),180),n)&&(!h||mDt(h)>mDt(a))&&(h=a);for(!h&&(f1(0,p.c.length),h=zz(p.c[0],180)),g=new Kd(e.b);g.a<g.c.c.length;)for(m=new Kd(zz(t0(g),29).a);m.a<m.c.c.length;)(y=zz(t0(m),10)).n.b=Zv(h.p[y.p])+Zv(h.d[y.p]);for(n.n&&(Iq(n,"Chosen node placement: "+h),Iq(n,"Blocks: "+BIt(h)),Iq(n,"Classes: "+GLt(h,n)),Iq(n,"Marked edges: "+t.b)),o=new Kd(p);o.a<o.c.c.length;)(a=zz(t0(o),180)).g=null,a.b=null,a.a=null,a.d=null,a.j=null,a.i=null,a.p=null;Yrt(t.c),t.b.a.$b(),HCt(n)}function oKt(t,e,n){var i,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x,k,_,E;for(o=new VE,y=zz(vTt(n,(HGt(),Ype)),103),g=0,zrt(o,(!e.a&&(e.a=new nY(YIe,e,10,11)),e.a));0!=o.b;)u=zz(0==o.b?null:(SP(0!=o.b),Det(o,o.a.a)),33),(ZM(tDt(e,Ope))!==ZM((vct(),Nye))||ZM(tDt(e,Zpe))===ZM((Xyt(),_le))||ZM(tDt(e,Zpe))===ZM((Xyt(),xle))||Hv(EB(tDt(e,Ppe)))||ZM(tDt(e,Ape))!==ZM((qht(),gse)))&&!Hv(EB(tDt(u,Dpe)))&&Qwt(u,(hKt(),gfe),rft(g++)),!Hv(EB(tDt(u,Zbe)))&&(h=0!=(!u.a&&(u.a=new nY(YIe,u,10,11)),u.a).i,d=kEt(u),f=ZM(tDt(u,ube))===ZM((cht(),wAe)),b=null,(E=!S7(u,(lKt(),nCe))||mR(CB(tDt(u,nCe)),p1t))&&f&&(h||d)&&(hct(b=kjt(u),Ype,y),OP(b,bwe)&&Tv(new cgt(Zv(TB(vTt(b,bwe)))),b),0!=zz(tDt(u,jbe),174).gc()&&(l=b,QE(new FH(null,(!u.c&&(u.c=new nY(GIe,u,9,9)),new g1(u.c,16))),new Gg(l)),vBt(u,b))),m=n,(v=zz(FG(t.a,QQ(u)),10))&&(m=v.e),p=pUt(t,u,m),b&&(p.e=b,b.e=p,zrt(o,(!u.a&&(u.a=new nY(YIe,u,10,11)),u.a))));for(g=0,r5(o,e,o.c.b,o.c);0!=o.b;){for(c=new LO((!(a=zz(0==o.b?null:(SP(0!=o.b),Det(o,o.a.a)),33)).b&&(a.b=new nY($Ie,a,12,3)),a.b));c.e!=c.i.gc();)nRt(s=zz(kwt(c),79)),(ZM(tDt(e,Ope))!==ZM((vct(),Nye))||ZM(tDt(e,Zpe))===ZM((Xyt(),_le))||ZM(tDt(e,Zpe))===ZM((Xyt(),xle))||Hv(EB(tDt(e,Ppe)))||ZM(tDt(e,Ape))!==ZM((qht(),gse)))&&Qwt(s,(hKt(),gfe),rft(g++)),k=AEt(zz(Wet((!s.b&&(s.b=new lR(RIe,s,4,7)),s.b),0),82)),_=AEt(zz(Wet((!s.c&&(s.c=new lR(RIe,s,5,8)),s.c),0),82)),Hv(EB(tDt(s,Zbe)))||Hv(EB(tDt(k,Zbe)))||Hv(EB(tDt(_,Zbe)))||(w=a,VMt(s)&&Hv(EB(tDt(k,gbe)))&&Hv(EB(tDt(s,pbe)))||Met(_,k)?w=k:Met(k,_)&&(w=_),m=n,(v=zz(FG(t.a,w),10))&&(m=v.e),hct(cKt(t,s,w,m),(hKt(),jhe),NPt(t,s,e,n)));if(f=ZM(tDt(a,ube))===ZM((cht(),wAe)))for(r=new LO((!a.a&&(a.a=new nY(YIe,a,10,11)),a.a));r.e!=r.i.gc();)E=!S7(i=zz(kwt(r),33),(lKt(),nCe))||mR(CB(tDt(i,nCe)),p1t),x=ZM(tDt(i,ube))===ZM(wAe),E&&x&&r5(o,i,o.c.b,o.c)}}function sKt(t,e,n,i,r,a){var o,s,c,u,l,h,f;switch(e){case 71:o=i.q.getFullYear()-lXt>=-1900?1:0,cI(t,n>=4?Ast(Zx(Vee,1),lWt,2,6,[fXt,dXt])[o]:Ast(Zx(Vee,1),lWt,2,6,["BC","AD"])[o]);break;case 121:uwt(t,n,i);break;case 77:KRt(t,n,i);break;case 107:_tt(t,0==(s=r.q.getHours())?24:s,n);break;case 83:ROt(t,n,r);break;case 69:c=i.q.getDay(),cI(t,5==n?Ast(Zx(Vee,1),lWt,2,6,["S","M","T","W","T","F","S"])[c]:4==n?Ast(Zx(Vee,1),lWt,2,6,[gXt,pXt,bXt,wXt,yXt,mXt,vXt])[c]:Ast(Zx(Vee,1),lWt,2,6,["Sun","Mon","Tue","Wed","Thu","Fri","Sat"])[c]);break;case 97:r.q.getHours()>=12&&r.q.getHours()<24?cI(t,Ast(Zx(Vee,1),lWt,2,6,["AM","PM"])[1]):cI(t,Ast(Zx(Vee,1),lWt,2,6,["AM","PM"])[0]);break;case 104:_tt(t,0==(u=r.q.getHours()%12)?12:u,n);break;case 75:_tt(t,r.q.getHours()%12,n);break;case 72:_tt(t,r.q.getHours(),n);break;case 99:l=i.q.getDay(),5==n?cI(t,Ast(Zx(Vee,1),lWt,2,6,["S","M","T","W","T","F","S"])[l]):4==n?cI(t,Ast(Zx(Vee,1),lWt,2,6,[gXt,pXt,bXt,wXt,yXt,mXt,vXt])[l]):3==n?cI(t,Ast(Zx(Vee,1),lWt,2,6,["Sun","Mon","Tue","Wed","Thu","Fri","Sat"])[l]):_tt(t,l,1);break;case 76:h=i.q.getMonth(),5==n?cI(t,Ast(Zx(Vee,1),lWt,2,6,["J","F","M","A","M","J","J","A","S","O","N","D"])[h]):4==n?cI(t,Ast(Zx(Vee,1),lWt,2,6,[QWt,JWt,tXt,eXt,nXt,iXt,rXt,aXt,oXt,sXt,cXt,uXt])[h]):3==n?cI(t,Ast(Zx(Vee,1),lWt,2,6,["Jan","Feb","Mar","Apr",nXt,"Jun","Jul","Aug","Sep","Oct","Nov","Dec"])[h]):_tt(t,h+1,n);break;case 81:f=i.q.getMonth()/3|0,cI(t,n<4?Ast(Zx(Vee,1),lWt,2,6,["Q1","Q2","Q3","Q4"])[f]:Ast(Zx(Vee,1),lWt,2,6,["1st quarter","2nd quarter","3rd quarter","4th quarter"])[f]);break;case 100:_tt(t,i.q.getDate(),n);break;case 109:_tt(t,r.q.getMinutes(),n);break;case 115:_tt(t,r.q.getSeconds(),n);break;case 122:cI(t,n<4?a.c[0]:a.c[1]);break;case 118:cI(t,a.b);break;case 90:cI(t,n<3?eMt(a):3==n?pMt(a):bMt(a.a));break;default:return!1}return!0}function cKt(t,e,n,i){var r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x,k,_,E,T,C,S,A;if(nRt(e),c=zz(Wet((!e.b&&(e.b=new lR(RIe,e,4,7)),e.b),0),82),l=zz(Wet((!e.c&&(e.c=new lR(RIe,e,5,8)),e.c),0),82),s=AEt(c),u=AEt(l),o=0==(!e.a&&(e.a=new nY(jIe,e,6,6)),e.a).i?null:zz(Wet((!e.a&&(e.a=new nY(jIe,e,6,6)),e.a),0),202),k=zz(FG(t.a,s),10),C=zz(FG(t.a,u),10),_=null,S=null,aO(c,186)&&(aO(x=zz(FG(t.a,c),299),11)?_=zz(x,11):aO(x,10)&&(k=zz(x,10),_=zz(PH(k.j,0),11))),aO(l,186)&&(aO(T=zz(FG(t.a,l),299),11)?S=zz(T,11):aO(T,10)&&(C=zz(T,10),S=zz(PH(C.j,0),11))),!k||!C)throw qw(new ax("The source or the target of edge "+e+" could not be found. This usually happens when an edge connects a node laid out by ELK Layered to a node in another level of hierarchy laid out by either another instance of ELK Layered or another layout algorithm alltogether. The former can be solved by setting the hierarchyHandling option to INCLUDE_CHILDREN."));for(Zot(p=new gV,e),hct(p,(hKt(),pfe),e),hct(p,(HGt(),ybe),null),d=zz(vTt(i,Jhe),21),k==C&&d.Fc((gBt(),yhe)),_||(sit(),v=Hye,E=null,o&&yL(zz(vTt(k,nwe),98))&&(V3(E=new PA(o.j,o.k),GQ(e)),e5(E,n),Met(u,s)&&(v=qye,YF(E,k.n))),_=bqt(k,E,v,i)),S||(sit(),v=qye,A=null,o&&yL(zz(vTt(C,nwe),98))&&(V3(A=new PA(o.b,o.c),GQ(e)),e5(A,n)),S=bqt(C,A,v,yK(C))),CJ(p,_),TJ(p,S),(_.e.c.length>1||_.g.c.length>1||S.e.c.length>1||S.g.c.length>1)&&d.Fc((gBt(),dhe)),f=new LO((!e.n&&(e.n=new nY(UIe,e,1,7)),e.n));f.e!=f.i.gc();)if(!Hv(EB(tDt(h=zz(kwt(f),137),Zbe)))&&h.a)switch(b=Hlt(h),Kz(p.b,b),zz(vTt(b,Vpe),272).g){case 1:case 2:d.Fc((gBt(),hhe));break;case 0:d.Fc((gBt(),uhe)),hct(b,Vpe,(Ret(),USe))}if(a=zz(vTt(i,Hpe),314),w=zz(vTt(i,$be),315),r=a==(Lit(),ule)||w==(Pyt(),wye),o&&0!=(!o.a&&(o.a=new DO(PIe,o,5)),o.a).i&&r){for(y=ZCt(o),g=new xm,m=lwt(y,0);m.b!=m.d.c;)Bq(g,new gL(zz(d3(m),8)));hct(p,bfe,g)}return p}function uKt(t){t.gb||(t.gb=!0,t.b=kot(t,0),Rrt(t.b,18),$rt(t.b,19),t.a=kot(t,1),Rrt(t.a,1),$rt(t.a,2),$rt(t.a,3),$rt(t.a,4),$rt(t.a,5),t.o=kot(t,2),Rrt(t.o,8),Rrt(t.o,9),$rt(t.o,10),$rt(t.o,11),$rt(t.o,12),$rt(t.o,13),$rt(t.o,14),$rt(t.o,15),$rt(t.o,16),$rt(t.o,17),$rt(t.o,18),$rt(t.o,19),$rt(t.o,20),$rt(t.o,21),$rt(t.o,22),$rt(t.o,23),cet(t.o),cet(t.o),cet(t.o),cet(t.o),cet(t.o),cet(t.o),cet(t.o),cet(t.o),cet(t.o),cet(t.o),t.p=kot(t,3),Rrt(t.p,2),Rrt(t.p,3),Rrt(t.p,4),Rrt(t.p,5),$rt(t.p,6),$rt(t.p,7),cet(t.p),cet(t.p),t.q=kot(t,4),Rrt(t.q,8),t.v=kot(t,5),$rt(t.v,9),cet(t.v),cet(t.v),cet(t.v),t.w=kot(t,6),Rrt(t.w,2),Rrt(t.w,3),Rrt(t.w,4),$rt(t.w,5),t.B=kot(t,7),$rt(t.B,1),cet(t.B),cet(t.B),cet(t.B),t.Q=kot(t,8),$rt(t.Q,0),cet(t.Q),t.R=kot(t,9),Rrt(t.R,1),t.S=kot(t,10),cet(t.S),cet(t.S),cet(t.S),cet(t.S),cet(t.S),cet(t.S),cet(t.S),cet(t.S),cet(t.S),cet(t.S),cet(t.S),cet(t.S),cet(t.S),cet(t.S),cet(t.S),t.T=kot(t,11),$rt(t.T,10),$rt(t.T,11),$rt(t.T,12),$rt(t.T,13),$rt(t.T,14),cet(t.T),cet(t.T),t.U=kot(t,12),Rrt(t.U,2),Rrt(t.U,3),$rt(t.U,4),$rt(t.U,5),$rt(t.U,6),$rt(t.U,7),cet(t.U),t.V=kot(t,13),$rt(t.V,10),t.W=kot(t,14),Rrt(t.W,18),Rrt(t.W,19),Rrt(t.W,20),$rt(t.W,21),$rt(t.W,22),$rt(t.W,23),t.bb=kot(t,15),Rrt(t.bb,10),Rrt(t.bb,11),Rrt(t.bb,12),Rrt(t.bb,13),Rrt(t.bb,14),Rrt(t.bb,15),Rrt(t.bb,16),$rt(t.bb,17),cet(t.bb),cet(t.bb),t.eb=kot(t,16),Rrt(t.eb,2),Rrt(t.eb,3),Rrt(t.eb,4),Rrt(t.eb,5),Rrt(t.eb,6),Rrt(t.eb,7),$rt(t.eb,8),$rt(t.eb,9),t.ab=kot(t,17),Rrt(t.ab,0),Rrt(t.ab,1),t.H=kot(t,18),$rt(t.H,0),$rt(t.H,1),$rt(t.H,2),$rt(t.H,3),$rt(t.H,4),$rt(t.H,5),cet(t.H),t.db=kot(t,19),$rt(t.db,2),t.c=_ot(t,20),t.d=_ot(t,21),t.e=_ot(t,22),t.f=_ot(t,23),t.i=_ot(t,24),t.g=_ot(t,25),t.j=_ot(t,26),t.k=_ot(t,27),t.n=_ot(t,28),t.r=_ot(t,29),t.s=_ot(t,30),t.t=_ot(t,31),t.u=_ot(t,32),t.fb=_ot(t,33),t.A=_ot(t,34),t.C=_ot(t,35),t.D=_ot(t,36),t.F=_ot(t,37),t.G=_ot(t,38),t.I=_ot(t,39),t.J=_ot(t,40),t.L=_ot(t,41),t.M=_ot(t,42),t.N=_ot(t,43),t.O=_ot(t,44),t.P=_ot(t,45),t.X=_ot(t,46),t.Y=_ot(t,47),t.Z=_ot(t,48),t.$=_ot(t,49),t._=_ot(t,50),t.cb=_ot(t,51),t.K=_ot(t,52))}function lKt(){var t,e;lKt=I,nCe=new sw(p5t),mSe=new sw(b5t),pyt(),iCe=new DI(W2t,rCe=ATe),new Dw,aCe=new DI(XQt,null),oCe=new sw(w5t),p_t(),hCe=_Z(JTe,Ast(Zx(HSe,1),OWt,291,0,[WTe])),lCe=new DI(c3t,hCe),fCe=new DI(K2t,(lN(),!1)),zht(),dCe=new DI(J2t,gCe=zSe),Cdt(),yCe=new DI(x2t,mCe=JSe),kCe=new DI(D4t,!1),cht(),_Ce=new DI(b2t,ECe=yAe),KCe=new KL(12),GCe=new DI(VQt,KCe),ACe=new DI(_Jt,!1),MCe=new DI(v3t,!1),YCe=new DI(CJt,!1),V_t(),sSe=new DI(EJt,cSe=VAe),bSe=new sw(w3t),wSe=new sw(yJt),ySe=new sw(xJt),xSe=new sw(kJt),LCe=new xm,ICe=new DI(u3t,LCe),uCe=new DI(f3t,!1),TCe=new DI(d3t,!1),new sw(y5t),OCe=new fm,DCe=new DI(y3t,OCe),UCe=new DI(Y2t,!1),new Dw,vSe=new DI(m5t,1),new DI(v5t,!0),rft(0),new DI(x5t,rft(100)),new DI(k5t,!1),rft(0),new DI(_5t,rft(4e3)),rft(0),new DI(E5t,rft(400)),new DI(T5t,!1),new DI(C5t,!1),new DI(S5t,!0),new DI(A5t,!1),zgt(),sCe=new DI(g5t,cCe=nIe),kSe=new DI(N2t,10),_Se=new DI(P2t,10),ESe=new DI(KQt,20),TSe=new DI(B2t,10),CSe=new DI(vJt,2),SSe=new DI(F2t,10),MSe=new DI(R2t,0),ISe=new DI(z2t,5),LSe=new DI($2t,1),DSe=new DI(j2t,1),OSe=new DI(mJt,20),NSe=new DI(q2t,10),FSe=new DI(H2t,10),ASe=new sw(Z2t),BSe=new fL,PSe=new DI(m3t,BSe),VCe=new sw(b3t),WCe=new DI(p3t,XCe=!1),PCe=new KL(5),NCe=new DI(t3t,PCe),eDt(),e=zz(Wk(ZAe),9),FCe=new VR(e,zz(CF(e,e.length),9),0),BCe=new DI(MJt,FCe),owt(),JCe=new DI(i3t,tSe=zAe),nSe=new sw(r3t),iSe=new sw(a3t),rSe=new sw(o3t),eSe=new sw(s3t),t=zz(Wk(VMe),9),$Ce=new VR(t,zz(CF(t,t.length),9),0),RCe=new DI(AJt,$Ce),ZCe=edt((e$t(),ZMe)),HCe=new DI(SJt,ZCe),qCe=new PA(0,0),zCe=new DI(qJt,qCe),jCe=new DI(Q2t,!1),Ret(),bCe=new DI(l3t,wCe=USe),pCe=new DI(TJt,!1),new sw(M5t),rft(1),new DI(I5t,null),aSe=new sw(g3t),uSe=new sw(h3t),kYt(),gSe=new DI(G2t,pSe=SMe),oSe=new sw(U2t),dMt(),fSe=edt(rMe),hSe=new DI(IJt,fSe),lSe=new DI(e3t,!1),dSe=new DI(n3t,!0),CCe=new DI(X2t,!1),SCe=new DI(V2t,!1),vCe=new DI(WQt,1),eTt(),new DI(L5t,xCe=oAe),QCe=!0}function hKt(){var t,e;hKt=I,pfe=new sw(LJt),jhe=new sw("coordinateOrigin"),Tfe=new sw("processors"),$he=new iF("compoundNode",(lN(),!1)),nfe=new iF("insideConnections",!1),bfe=new sw("originalBendpoints"),wfe=new sw("originalDummyNodePosition"),yfe=new sw("originalLabelEdge"),Sfe=new sw("representedLabels"),Uhe=new sw("endLabels"),Yhe=new sw("endLabel.origin"),sfe=new iF("labelSide",(Kvt(),TAe)),dfe=new iF("maxEdgeThickness",0),Afe=new iF("reversed",!1),Cfe=new sw(DJt),lfe=new iF("longEdgeSource",null),hfe=new iF("longEdgeTarget",null),ufe=new iF("longEdgeHasLabelDummies",!1),cfe=new iF("longEdgeBeforeLabelDummy",!1),Zhe=new iF("edgeConstraint",(Jst(),Lle)),rfe=new sw("inLayerLayoutUnit"),ife=new iF("inLayerConstraint",(U9(),She)),afe=new iF("inLayerSuccessorConstraint",new Nw),ofe=new iF("inLayerSuccessorConstraintBetweenNonDummies",!1),_fe=new sw("portDummy"),zhe=new iF("crossingHint",rft(0)),Jhe=new iF("graphProperties",new VR(e=zz(Wk(Ehe),9),zz(CF(e,e.length),9),0)),Xhe=new iF("externalPortSide",(kYt(),SMe)),Vhe=new iF("externalPortSize",new Zk),Khe=new sw("externalPortReplacedDummies"),Whe=new sw("externalPortReplacedDummy"),Ghe=new iF("externalPortConnections",new VR(t=zz(Wk(jMe),9),zz(CF(t,t.length),9),0)),Efe=new iF(bQt,0),Phe=new sw("barycenterAssociates"),Rfe=new sw("TopSideComments"),Bhe=new sw("BottomSideComments"),Rhe=new sw("CommentConnectionPort"),efe=new iF("inputCollect",!1),xfe=new iF("outputCollect",!1),Hhe=new iF("cyclic",!1),qhe=new sw("crossHierarchyMap"),Ffe=new sw("targetOffset"),new iF("splineLabelSize",new Zk),Lfe=new sw("spacings"),kfe=new iF("partitionConstraint",!1),Fhe=new sw("breakingPoint.info"),Pfe=new sw("splines.survivingEdge"),Nfe=new sw("splines.route.start"),Dfe=new sw("splines.edgeChain"),vfe=new sw("originalPortConstraints"),Ife=new sw("selfLoopHolder"),Ofe=new sw("splines.nsPortY"),gfe=new sw("modelOrder"),ffe=new sw("longEdgeTargetNode"),Qhe=new iF(Y1t,!1),Mfe=new iF(Y1t,!1),tfe=new sw("layerConstraints.hiddenNodes"),mfe=new sw("layerConstraints.opposidePort"),Bfe=new sw("targetNode.modelOrder")}function fKt(){fKt=I,$tt(),Cde=new DI(G1t,Sde=Cle),Zde=new DI(K1t,(lN(),!1)),U2(),Wde=new DI(W1t,Xde=Lhe),gge=new DI(X1t,!1),pge=new DI(V1t,!0),Yfe=new DI(Q1t,!1),Y9(),Nge=new DI(J1t,Pge=Rye),rft(1),Hge=new DI(t0t,rft(7)),Zge=new DI(e0t,!1),Ude=new DI(n0t,!1),Xyt(),Ede=new DI(i0t,Tde=vle),TEt(),fge=new DI(r0t,dge=eye),Tdt(),nge=new DI(a0t,ige=Hfe),rft(-1),ege=new DI(o0t,rft(-1)),rft(-1),rge=new DI(s0t,rft(-1)),rft(-1),age=new DI(c0t,rft(4)),rft(-1),sge=new DI(u0t,rft(2)),lNt(),lge=new DI(l0t,hge=Mye),rft(0),uge=new DI(h0t,rft(0)),Jde=new DI(f0t,rft(FKt)),Lit(),kde=new DI(d0t,_de=lle),sde=new DI(g0t,!1),bde=new DI(p0t,.1),vde=new DI(b0t,!1),rft(-1),yde=new DI(w0t,rft(-1)),rft(-1),mde=new DI(y0t,rft(-1)),rft(0),cde=new DI(m0t,rft(40)),$ot(),dde=new DI(v0t,gde=_he),ude=new DI(x0t,lde=xhe),Pyt(),Dge=new DI(k0t,Oge=bye),kge=new sw(_0t),b9(),bge=new DI(E0t,wge=Hle),qkt(),mge=new DI(T0t,vge=Xle),new Dw,Tge=new DI(C0t,.3),Sge=new sw(S0t),gyt(),Age=new DI(A0t,Mge=fye),Hat(),Nde=new DI(M0t,Pde=Kye),L6(),Bde=new DI(I0t,Fde=Jye),Gut(),Rde=new DI(L0t,$de=rme),zde=new DI(D0t,.2),Dde=new DI(O0t,2),$ge=new DI(N0t,null),zge=new DI(P0t,10),jge=new DI(B0t,10),qge=new DI(F0t,20),rft(0),Bge=new DI(R0t,rft(0)),rft(0),Fge=new DI($0t,rft(0)),rft(0),Rge=new DI(j0t,rft(0)),Gfe=new DI(z0t,!1),JTt(),Xfe=new DI(q0t,Vfe=ahe),W7(),Kfe=new DI(H0t,Wfe=ole),Gde=new DI(Z0t,!1),rft(0),Yde=new DI(U0t,rft(16)),rft(0),Kde=new DI(Y0t,rft(5)),Ost(),fpe=new DI(G0t,dpe=dme),Uge=new DI(K0t,10),Kge=new DI(W0t,1),cit(),npe=new DI(X0t,ipe=ble),Vge=new sw(V0t),tpe=rft(1),rft(0),Jge=new DI(Q0t,tpe),bat(),wpe=new DI(J0t,ype=sme),gpe=new sw(t2t),cpe=new DI(e2t,!0),ope=new DI(n2t,2),lpe=new DI(i2t,!0),wCt(),Ide=new DI(r2t,Lde=$le),OSt(),Ade=new DI(a2t,Mde=Jue),vct(),ade=new DI(o2t,ode=Nye),rde=new DI(s2t,!1),qht(),Qfe=new DI(c2t,Jfe=gse),Clt(),nde=new DI(u2t,ide=aye),tde=new DI(l2t,0),ede=new DI(h2t,0),Qde=kle,Vde=ule,oge=tye,cge=tye,tge=Vwe,cht(),wde=wAe,xde=lle,pde=lle,hde=lle,fde=wAe,_ge=mye,Ege=bye,yge=bye,xge=bye,Cge=yye,Lge=mye,Ige=mye,Cdt(),jde=QSe,qde=QSe,Hde=rme,Ode=VSe,Yge=gme,Gge=fme,Wge=gme,Xge=fme,rpe=gme,ape=fme,Qge=ple,epe=ble,mpe=gme,vpe=fme,ppe=gme,bpe=fme,upe=fme,spe=fme,hpe=fme}function dKt(){dKt=I,rce=new tS("DIRECTION_PREPROCESSOR",0),ece=new tS("COMMENT_PREPROCESSOR",1),ace=new tS("EDGE_AND_LAYER_CONSTRAINT_EDGE_REVERSER",2),xce=new tS("INTERACTIVE_EXTERNAL_PORT_POSITIONER",3),jce=new tS("PARTITION_PREPROCESSOR",4),Tce=new tS("LABEL_DUMMY_INSERTER",5),Yce=new tS("SELF_LOOP_PREPROCESSOR",6),Ice=new tS("LAYER_CONSTRAINT_PREPROCESSOR",7),Rce=new tS("PARTITION_MIDPROCESSOR",8),bce=new tS("HIGH_DEGREE_NODE_LAYER_PROCESSOR",9),Nce=new tS("NODE_PROMOTION",10),Mce=new tS("LAYER_CONSTRAINT_POSTPROCESSOR",11),$ce=new tS("PARTITION_POSTPROCESSOR",12),fce=new tS("HIERARCHICAL_PORT_CONSTRAINT_PROCESSOR",13),Kce=new tS("SEMI_INTERACTIVE_CROSSMIN_PROCESSOR",14),Wse=new tS("BREAKING_POINT_INSERTER",15),Oce=new tS("LONG_EDGE_SPLITTER",16),qce=new tS("PORT_SIDE_PROCESSOR",17),kce=new tS("INVERTED_PORT_PROCESSOR",18),zce=new tS("PORT_LIST_SORTER",19),Xce=new tS("SORT_BY_INPUT_ORDER_OF_MODEL",20),Bce=new tS("NORTH_SOUTH_PORT_PREPROCESSOR",21),Xse=new tS("BREAKING_POINT_PROCESSOR",22),Fce=new tS(E1t,23),Vce=new tS(T1t,24),Zce=new tS("SELF_LOOP_PORT_RESTORER",25),Wce=new tS("SINGLE_EDGE_GRAPH_WRAPPER",26),_ce=new tS("IN_LAYER_CONSTRAINT_PROCESSOR",27),uce=new tS("END_NODE_PORT_LABEL_MANAGEMENT_PROCESSOR",28),Ece=new tS("LABEL_AND_NODE_SIZE_PROCESSOR",29),vce=new tS("INNERMOST_NODE_MARGIN_CALCULATOR",30),Gce=new tS("SELF_LOOP_ROUTER",31),Jse=new tS("COMMENT_NODE_MARGIN_CALCULATOR",32),sce=new tS("END_LABEL_PREPROCESSOR",33),Sce=new tS("LABEL_DUMMY_SWITCHER",34),Qse=new tS("CENTER_LABEL_MANAGEMENT_PROCESSOR",35),Ace=new tS("LABEL_SIDE_SELECTOR",36),yce=new tS("HYPEREDGE_DUMMY_MERGER",37),dce=new tS("HIERARCHICAL_PORT_DUMMY_SIZE_PROCESSOR",38),Lce=new tS("LAYER_SIZE_AND_GRAPH_HEIGHT_CALCULATOR",39),pce=new tS("HIERARCHICAL_PORT_POSITION_PROCESSOR",40),nce=new tS("CONSTRAINTS_POSTPROCESSOR",41),tce=new tS("COMMENT_POSTPROCESSOR",42),mce=new tS("HYPERNODE_PROCESSOR",43),gce=new tS("HIERARCHICAL_PORT_ORTHOGONAL_EDGE_ROUTER",44),Dce=new tS("LONG_EDGE_JOINER",45),Uce=new tS("SELF_LOOP_POSTPROCESSOR",46),Vse=new tS("BREAKING_POINT_REMOVER",47),Pce=new tS("NORTH_SOUTH_PORT_POSTPROCESSOR",48),wce=new tS("HORIZONTAL_COMPACTOR",49),Cce=new tS("LABEL_DUMMY_REMOVER",50),lce=new tS("FINAL_SPLINE_BENDPOINTS_CALCULATOR",51),cce=new tS("END_LABEL_SORTER",52),Hce=new tS("REVERSED_EDGE_RESTORER",53),oce=new tS("END_LABEL_POSTPROCESSOR",54),hce=new tS("HIERARCHICAL_NODE_RESIZER",55),ice=new tS("DIRECTION_POSTPROCESSOR",56)}function gKt(t,e,i){var r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x,k,_,E,T,C,S,A,M,I,L,D,O,N,P,B,F,R,$,j,z,q,H,Z,U,Y,G,K,W,X,V,Q,J,tt,et,nt,it,rt,at,ot,st;for(Q=0,O=0,B=(I=e).length;O<B;++O)for(Z=new Kd((A=I[O]).j);Z.a<Z.c.c.length;){for(Y=0,c=new Kd((H=zz(t0(Z),11)).g);c.a<c.c.c.length;)s=zz(t0(c),17),A.c!=s.d.i.c&&++Y;Y>0&&(t.a[H.p]=Q++)}for(it=0,N=0,F=(L=i).length;N<F;++N){for(R=0,Z=new Kd((A=L[N]).j);Z.a<Z.c.c.length&&(H=zz(t0(Z),11)).j==(kYt(),uMe);)for(c=new Kd(H.e);c.a<c.c.c.length;)if(s=zz(t0(c),17),A.c!=s.c.i.c){++R;break}for(j=0,G=new T2(A.j,A.j.c.length);G.b>0;){for(SP(G.b>0),Y=0,c=new Kd((H=zz(G.a.Xb(G.c=--G.b),11)).e);c.a<c.c.c.length;)s=zz(t0(c),17),A.c!=s.c.i.c&&++Y;Y>0&&(H.j==(kYt(),uMe)?(t.a[H.p]=it,++it):(t.a[H.p]=it+R+j,++j))}it+=j}for(U=new Pw,p=new hL,D=0,P=(M=e).length;D<P;++D)for(et=new Kd((A=M[D]).j);et.a<et.c.c.length;)for(c=new Kd((tt=zz(t0(et),11)).g);c.a<c.c.c.length;)if(at=(s=zz(t0(c),17)).d,A.c!=at.i.c)if(J=zz(HM(LV(U.f,tt)),467),rt=zz(HM(LV(U.f,at)),467),J||rt)if(J)if(rt)if(J==rt)Kz(J.a,s);else{for(Kz(J.a,s),q=new Kd(rt.d);q.a<q.c.c.length;)z=zz(t0(q),11),_At(U.f,z,J);wst(J.a,rt.a),wst(J.d,rt.d),p.a.Bc(rt)}else Kz(J.a,s),Kz(J.d,at),_At(U.f,at,J);else Kz(rt.a,s),Kz(rt.d,tt),_At(U.f,tt,rt);else g=new BF,p.a.zc(g,p),Kz(g.a,s),Kz(g.d,tt),_At(U.f,tt,g),Kz(g.d,at),_At(U.f,at,g);for(b=zz(Emt(p,P7(jme,{3:1,4:1,5:1,1946:1},467,p.a.gc(),0,1)),1946),S=e[0].c,V=i[0].c,f=0,d=(h=b).length;f<d;++f)for((l=h[f]).e=Q,l.f=it,Z=new Kd(l.d);Z.a<Z.c.c.length;)H=zz(t0(Z),11),K=t.a[H.p],H.i.c==S?(K<l.e&&(l.e=K),K>l.b&&(l.b=K)):H.i.c==V&&(K<l.f&&(l.f=K),K>l.c&&(l.c=K));for(U8(b,0,b.length,null),nt=P7(LNe,hXt,25,b.length,15,1),r=P7(LNe,hXt,25,it+1,15,1),y=0;y<b.length;y++)nt[y]=b[y].f,r[nt[y]]=1;for(o=0,m=0;m<r.length;m++)1==r[m]?r[m]=o:--o;for(W=0,v=0;v<nt.length;v++)nt[v]+=r[nt[v]],W=n.Math.max(W,nt[v]+1);for(u=1;u<W;)u*=2;for(st=2*u-1,u-=1,ot=P7(LNe,hXt,25,st,15,1),a=0,T=0;T<nt.length;T++)for(++ot[E=nt[T]+u];E>0;)E%2>0&&(a+=ot[E+1]),++ot[E=(E-1)/2|0];for(C=P7(Hme,HKt,362,2*b.length,0,1),x=0;x<b.length;x++)C[2*x]=new HW(b[x],b[x].e,b[x].b,(X4(),qme)),C[2*x+1]=new HW(b[x],b[x].b,b[x].e,zme);for(U8(C,0,C.length,null),$=0,k=0;k<C.length;k++)switch(C[k].d.g){case 0:++$;break;case 1:a+=--$}for(X=P7(Hme,HKt,362,2*b.length,0,1),_=0;_<b.length;_++)X[2*_]=new HW(b[_],b[_].f,b[_].c,(X4(),qme)),X[2*_+1]=new HW(b[_],b[_].c,b[_].f,zme);for(U8(X,0,X.length,null),$=0,w=0;w<X.length;w++)switch(X[w].d.g){case 0:++$;break;case 1:a+=--$}return a}function pKt(){pKt=I,uNe=new Lw(7),lNe=new cZ(8,94),new cZ(8,64),hNe=new cZ(8,36),wNe=new cZ(8,65),yNe=new cZ(8,122),mNe=new cZ(8,90),kNe=new cZ(8,98),pNe=new cZ(8,66),vNe=new cZ(8,60),_Ne=new cZ(8,62),cNe=new Lw(11),QPt(sNe=new T0(4),48,57),QPt(xNe=new T0(4),48,57),QPt(xNe,65,90),QPt(xNe,95,95),QPt(xNe,97,122),QPt(bNe=new T0(4),9,9),QPt(bNe,10,10),QPt(bNe,12,12),QPt(bNe,13,13),QPt(bNe,32,32),fNe=Ojt(sNe),gNe=Ojt(xNe),dNe=Ojt(bNe),iNe=new Pw,rNe=new Pw,aNe=Ast(Zx(Vee,1),lWt,2,6,["Cn","Lu","Ll","Lt","Lm","Lo","Mn","Me","Mc","Nd","Nl","No","Zs","Zl","Zp","Cc","Cf",null,"Co","Cs","Pd","Ps","Pe","Pc","Po","Sm","Sc","Sk","So","Pi","Pf","L","M","N","Z","C","P","S"]),nNe=Ast(Zx(Vee,1),lWt,2,6,["Basic Latin","Latin-1 Supplement","Latin Extended-A","Latin Extended-B","IPA Extensions","Spacing Modifier Letters","Combining Diacritical Marks","Greek","Cyrillic","Armenian","Hebrew","Arabic","Syriac","Thaana","Devanagari","Bengali","Gurmukhi","Gujarati","Oriya","Tamil","Telugu","Kannada","Malayalam","Sinhala","Thai","Lao","Tibetan","Myanmar","Georgian","Hangul Jamo","Ethiopic","Cherokee","Unified Canadian Aboriginal Syllabics","Ogham","Runic","Khmer","Mongolian","Latin Extended Additional","Greek Extended","General Punctuation","Superscripts and Subscripts","Currency Symbols","Combining Marks for Symbols","Letterlike Symbols","Number Forms","Arrows","Mathematical Operators","Miscellaneous Technical","Control Pictures","Optical Character Recognition","Enclosed Alphanumerics","Box Drawing","Block Elements","Geometric Shapes","Miscellaneous Symbols","Dingbats","Braille Patterns","CJK Radicals Supplement","Kangxi Radicals","Ideographic Description Characters","CJK Symbols and Punctuation","Hiragana","Katakana","Bopomofo","Hangul Compatibility Jamo","Kanbun","Bopomofo Extended","Enclosed CJK Letters and Months","CJK Compatibility","CJK Unified Ideographs Extension A","CJK Unified Ideographs","Yi Syllables","Yi Radicals","Hangul Syllables",wte,"CJK Compatibility Ideographs","Alphabetic Presentation Forms","Arabic Presentation Forms-A","Combining Half Marks","CJK Compatibility Forms","Small Form Variants","Arabic Presentation Forms-B","Specials","Halfwidth and Fullwidth Forms","Old Italic","Gothic","Deseret","Byzantine Musical Symbols","Musical Symbols","Mathematical Alphanumeric Symbols","CJK Unified Ideographs Extension B","CJK Compatibility Ideographs Supplement","Tags"]),oNe=Ast(Zx(LNe,1),hXt,25,15,[66304,66351,66352,66383,66560,66639,118784,119039,119040,119295,119808,120831,131072,173782,194560,195103,917504,917631])}function bKt(){bKt=I,Sre=new uat("OUT_T_L",0,(Q8(),Vie),(Z9(),ire),(Fet(),Zie),Zie,Ast(Zx(Fte,1),HKt,21,0,[_Z((eDt(),OAe),Ast(Zx(ZAe,1),OWt,93,0,[BAe,MAe]))])),Cre=new uat("OUT_T_C",1,Xie,ire,Zie,Uie,Ast(Zx(Fte,1),HKt,21,0,[_Z(OAe,Ast(Zx(ZAe,1),OWt,93,0,[BAe,AAe])),_Z(OAe,Ast(Zx(ZAe,1),OWt,93,0,[BAe,AAe,IAe]))])),Are=new uat("OUT_T_R",2,Qie,ire,Zie,Yie,Ast(Zx(Fte,1),HKt,21,0,[_Z(OAe,Ast(Zx(ZAe,1),OWt,93,0,[BAe,LAe]))])),yre=new uat("OUT_B_L",3,Vie,are,Yie,Zie,Ast(Zx(Fte,1),HKt,21,0,[_Z(OAe,Ast(Zx(ZAe,1),OWt,93,0,[NAe,MAe]))])),wre=new uat("OUT_B_C",4,Xie,are,Yie,Uie,Ast(Zx(Fte,1),HKt,21,0,[_Z(OAe,Ast(Zx(ZAe,1),OWt,93,0,[NAe,AAe])),_Z(OAe,Ast(Zx(ZAe,1),OWt,93,0,[NAe,AAe,IAe]))])),mre=new uat("OUT_B_R",5,Qie,are,Yie,Yie,Ast(Zx(Fte,1),HKt,21,0,[_Z(OAe,Ast(Zx(ZAe,1),OWt,93,0,[NAe,LAe]))])),kre=new uat("OUT_L_T",6,Qie,are,Zie,Zie,Ast(Zx(Fte,1),HKt,21,0,[_Z(OAe,Ast(Zx(ZAe,1),OWt,93,0,[MAe,BAe,IAe]))])),xre=new uat("OUT_L_C",7,Qie,rre,Uie,Zie,Ast(Zx(Fte,1),HKt,21,0,[_Z(OAe,Ast(Zx(ZAe,1),OWt,93,0,[MAe,PAe])),_Z(OAe,Ast(Zx(ZAe,1),OWt,93,0,[MAe,PAe,IAe]))])),vre=new uat("OUT_L_B",8,Qie,ire,Yie,Zie,Ast(Zx(Fte,1),HKt,21,0,[_Z(OAe,Ast(Zx(ZAe,1),OWt,93,0,[MAe,NAe,IAe]))])),Tre=new uat("OUT_R_T",9,Vie,are,Zie,Yie,Ast(Zx(Fte,1),HKt,21,0,[_Z(OAe,Ast(Zx(ZAe,1),OWt,93,0,[LAe,BAe,IAe]))])),Ere=new uat("OUT_R_C",10,Vie,rre,Uie,Yie,Ast(Zx(Fte,1),HKt,21,0,[_Z(OAe,Ast(Zx(ZAe,1),OWt,93,0,[LAe,PAe])),_Z(OAe,Ast(Zx(ZAe,1),OWt,93,0,[LAe,PAe,IAe]))])),_re=new uat("OUT_R_B",11,Vie,ire,Yie,Yie,Ast(Zx(Fte,1),HKt,21,0,[_Z(OAe,Ast(Zx(ZAe,1),OWt,93,0,[LAe,NAe,IAe]))])),pre=new uat("IN_T_L",12,Vie,are,Zie,Zie,Ast(Zx(Fte,1),HKt,21,0,[_Z(DAe,Ast(Zx(ZAe,1),OWt,93,0,[BAe,MAe])),_Z(DAe,Ast(Zx(ZAe,1),OWt,93,0,[BAe,MAe,IAe]))])),gre=new uat("IN_T_C",13,Xie,are,Zie,Uie,Ast(Zx(Fte,1),HKt,21,0,[_Z(DAe,Ast(Zx(ZAe,1),OWt,93,0,[BAe,AAe])),_Z(DAe,Ast(Zx(ZAe,1),OWt,93,0,[BAe,AAe,IAe]))])),bre=new uat("IN_T_R",14,Qie,are,Zie,Yie,Ast(Zx(Fte,1),HKt,21,0,[_Z(DAe,Ast(Zx(ZAe,1),OWt,93,0,[BAe,LAe])),_Z(DAe,Ast(Zx(ZAe,1),OWt,93,0,[BAe,LAe,IAe]))])),fre=new uat("IN_C_L",15,Vie,rre,Uie,Zie,Ast(Zx(Fte,1),HKt,21,0,[_Z(DAe,Ast(Zx(ZAe,1),OWt,93,0,[PAe,MAe])),_Z(DAe,Ast(Zx(ZAe,1),OWt,93,0,[PAe,MAe,IAe]))])),hre=new uat("IN_C_C",16,Xie,rre,Uie,Uie,Ast(Zx(Fte,1),HKt,21,0,[_Z(DAe,Ast(Zx(ZAe,1),OWt,93,0,[PAe,AAe])),_Z(DAe,Ast(Zx(ZAe,1),OWt,93,0,[PAe,AAe,IAe]))])),dre=new uat("IN_C_R",17,Qie,rre,Uie,Yie,Ast(Zx(Fte,1),HKt,21,0,[_Z(DAe,Ast(Zx(ZAe,1),OWt,93,0,[PAe,LAe])),_Z(DAe,Ast(Zx(ZAe,1),OWt,93,0,[PAe,LAe,IAe]))])),ure=new uat("IN_B_L",18,Vie,ire,Yie,Zie,Ast(Zx(Fte,1),HKt,21,0,[_Z(DAe,Ast(Zx(ZAe,1),OWt,93,0,[NAe,MAe])),_Z(DAe,Ast(Zx(ZAe,1),OWt,93,0,[NAe,MAe,IAe]))])),cre=new uat("IN_B_C",19,Xie,ire,Yie,Uie,Ast(Zx(Fte,1),HKt,21,0,[_Z(DAe,Ast(Zx(ZAe,1),OWt,93,0,[NAe,AAe])),_Z(DAe,Ast(Zx(ZAe,1),OWt,93,0,[NAe,AAe,IAe]))])),lre=new uat("IN_B_R",20,Qie,ire,Yie,Yie,Ast(Zx(Fte,1),HKt,21,0,[_Z(DAe,Ast(Zx(ZAe,1),OWt,93,0,[NAe,LAe])),_Z(DAe,Ast(Zx(ZAe,1),OWt,93,0,[NAe,LAe,IAe]))])),Mre=new uat(hQt,21,null,null,null,null,Ast(Zx(Fte,1),HKt,21,0,[]))}function 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Furthermore, full layout of compound graphs with cross-hierarchy edges is supported when the respective option is activated on the top level."),new 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vKt(t,e){var n;return tNe||(tNe=new Pw,eNe=new Pw,pKt(),pKt(),xpt(n=new T0(4),"\t\n\r\r  "),mJ(tNe,fte,n),mJ(eNe,fte,Ojt(n)),xpt(n=new T0(4),pte),mJ(tNe,lte,n),mJ(eNe,lte,Ojt(n)),xpt(n=new T0(4),pte),mJ(tNe,lte,n),mJ(eNe,lte,Ojt(n)),xpt(n=new T0(4),bte),lqt(n,zz(CQ(tNe,lte),117)),mJ(tNe,hte,n),mJ(eNe,hte,Ojt(n)),xpt(n=new T0(4),"-.0:AZ__az··ÀÖØöøıĴľŁňŊžƀǃǍǰǴǵǺȗɐʨʻˁːˑ̀͠͡ͅΆΊΌΌΎΡΣώϐϖϚϚϜϜϞϞϠϠϢϳЁЌЎяёќўҁ҃҆ҐӄӇӈӋӌӐӫӮӵӸӹԱՖՙՙաֆֹֻֽֿֿׁׂ֑֣֡ׄׄאתװײءغـْ٠٩ٰڷںھۀێېۓە۪ۭۨ۰۹ँःअह़्॑॔क़ॣ०९ঁঃঅঌএঐওনপরললশহ়়াৄেৈো্ৗৗড়ঢ়য়ৣ০ৱਂਂਅਊਏਐਓਨਪਰਲਲ਼ਵਸ਼ਸਹ਼਼ਾੂੇੈੋ੍ਖ਼ੜਫ਼ਫ਼੦ੴઁઃઅઋઍઍએઑઓનપરલળવહ઼ૅેૉો્ૠૠ૦૯ଁଃଅଌଏଐଓନପରଲଳଶହ଼ୃେୈୋ୍ୖୗଡ଼ଢ଼ୟୡ୦୯ஂஃஅஊஎஐஒகஙசஜஜஞடணதநபமவஷஹாூெைொ்ௗௗ௧௯ఁఃఅఌఎఐఒనపళవహాౄెైొ్ౕౖౠౡ౦౯ಂಃಅಌಎಐಒನಪಳವಹಾೄೆೈೊ್ೕೖೞೞೠೡ೦೯ംഃഅഌഎഐഒനപഹാൃെൈൊ്ൗൗൠൡ൦൯กฮะฺเ๎๐๙ກຂຄຄງຈຊຊຍຍດທນຟມຣລລວວສຫອຮະູົຽເໄໆໆ່ໍ໐໙༘༙༠༩༹༹༵༵༷༷༾ཇཉཀྵ྄ཱ྆ྋྐྕྗྗྙྭྱྷྐྵྐྵႠჅაჶᄀᄀᄂᄃᄅᄇᄉᄉᄋᄌᄎᄒᄼᄼᄾᄾᅀᅀᅌᅌᅎᅎᅐᅐᅔᅕᅙᅙᅟᅡᅣᅣᅥᅥᅧᅧᅩᅩᅭᅮᅲᅳᅵᅵᆞᆞᆨᆨᆫᆫᆮᆯᆷᆸᆺᆺᆼᇂᇫᇫᇰᇰᇹᇹḀẛẠỹἀἕἘἝἠὅὈὍὐὗὙὙὛὛὝὝὟώᾀᾴᾶᾼιιῂῄῆῌῐΐῖΊῠῬῲῴῶῼ⃐⃜⃡⃡ΩΩKÅ℮℮ↀↂ々々〇〇〡〯〱〵ぁゔ゙゚ゝゞァヺーヾㄅㄬ一龥가힣"),mJ(tNe,dte,n),mJ(eNe,dte,Ojt(n)),xpt(n=new T0(4),bte),QPt(n,95,95),QPt(n,58,58),mJ(tNe,gte,n),mJ(eNe,gte,Ojt(n))),zz(CQ(e?tNe:eNe,t),136)}function xKt(t){XDt(t.a,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"anySimpleType"])),XDt(t.b,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"anyType",z8t,$8t])),XDt(zz(Wet(XX(t.b),0),34),j8t,Ast(Zx(Vee,1),lWt,2,6,[z8t,v9t,n7t,":mixed"])),XDt(zz(Wet(XX(t.b),1),34),j8t,Ast(Zx(Vee,1),lWt,2,6,[z8t,v9t,C9t,A9t,n7t,":1",F9t,"lax"])),XDt(zz(Wet(XX(t.b),2),34),j8t,Ast(Zx(Vee,1),lWt,2,6,[z8t,y9t,C9t,A9t,n7t,":2",F9t,"lax"])),XDt(t.c,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"anyURI",T9t,x9t])),XDt(t.d,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"base64Binary",T9t,x9t])),XDt(t.e,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,OKt,T9t,x9t])),XDt(t.f,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"boolean:Object",J8t,OKt])),XDt(t.g,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,S8t])),XDt(t.i,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"byte:Object",J8t,S8t])),XDt(t.j,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"date",T9t,x9t])),XDt(t.k,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"dateTime",T9t,x9t])),XDt(t.n,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"decimal",T9t,x9t])),XDt(t.o,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,M8t,T9t,x9t])),XDt(t.p,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"double:Object",J8t,M8t])),XDt(t.q,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"duration",T9t,x9t])),XDt(t.s,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"ENTITIES",J8t,R9t,$9t,"1"])),XDt(t.r,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,R9t,k9t,j9t])),XDt(t.t,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,j9t,J8t,z9t])),XDt(t.u,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,I8t,T9t,x9t])),XDt(t.v,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"float:Object",J8t,I8t])),XDt(t.w,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"gDay",T9t,x9t])),XDt(t.B,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"gMonth",T9t,x9t])),XDt(t.A,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"gMonthDay",T9t,x9t])),XDt(t.C,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"gYear",T9t,x9t])),XDt(t.D,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"gYearMonth",T9t,x9t])),XDt(t.F,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"hexBinary",T9t,x9t])),XDt(t.G,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"ID",J8t,z9t])),XDt(t.H,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"IDREF",J8t,z9t])),XDt(t.J,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"IDREFS",J8t,q9t,$9t,"1"])),XDt(t.I,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,q9t,k9t,"IDREF"])),XDt(t.K,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,L8t])),XDt(t.M,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,H9t])),XDt(t.L,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"int:Object",J8t,L8t])),XDt(t.P,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"language",J8t,Z9t,U9t,Y9t])),XDt(t.Q,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,D8t])),XDt(t.R,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"long:Object",J8t,D8t])),XDt(t.S,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"Name",J8t,Z9t,U9t,G9t])),XDt(t.T,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,z9t,J8t,"Name",U9t,K9t])),XDt(t.U,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"negativeInteger",J8t,W9t,X9t,"-1"])),XDt(t.V,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,V9t,J8t,Z9t,U9t,"\\c+"])),XDt(t.X,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"NMTOKENS",J8t,Q9t,$9t,"1"])),XDt(t.W,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,Q9t,k9t,V9t])),XDt(t.Y,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,J9t,J8t,H9t,tte,"0"])),XDt(t.Z,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,W9t,J8t,H9t,X9t,"0"])),XDt(t.$,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,ete,J8t,PKt,T9t,"replace"])),XDt(t._,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"NOTATION",T9t,x9t])),XDt(t.ab,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"positiveInteger",J8t,J9t,tte,"1"])),XDt(t.bb,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"processingInstruction_._type",z8t,"empty"])),XDt(zz(Wet(XX(t.bb),0),34),j8t,Ast(Zx(Vee,1),lWt,2,6,[z8t,w9t,n7t,"data"])),XDt(zz(Wet(XX(t.bb),1),34),j8t,Ast(Zx(Vee,1),lWt,2,6,[z8t,w9t,n7t,Q6t])),XDt(t.cb,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"QName",T9t,x9t])),XDt(t.db,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,O8t])),XDt(t.eb,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"short:Object",J8t,O8t])),XDt(t.fb,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"simpleAnyType",z8t,b9t])),XDt(zz(Wet(XX(t.fb),0),34),j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,":3",z8t,b9t])),XDt(zz(Wet(XX(t.fb),1),34),j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,":4",z8t,b9t])),XDt(zz(Wet(XX(t.fb),2),18),j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,":5",z8t,b9t])),XDt(t.gb,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,PKt,T9t,"preserve"])),XDt(t.hb,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"time",T9t,x9t])),XDt(t.ib,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,Z9t,J8t,ete,T9t,x9t])),XDt(t.jb,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,nte,X9t,"255",tte,"0"])),XDt(t.kb,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"unsignedByte:Object",J8t,nte])),XDt(t.lb,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,ite,X9t,"4294967295",tte,"0"])),XDt(t.mb,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"unsignedInt:Object",J8t,ite])),XDt(t.nb,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"unsignedLong",J8t,J9t,X9t,rte,tte,"0"])),XDt(t.ob,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,ate,X9t,"65535",tte,"0"])),XDt(t.pb,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"unsignedShort:Object",J8t,ate])),XDt(t.qb,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"",z8t,$8t])),XDt(zz(Wet(XX(t.qb),0),34),j8t,Ast(Zx(Vee,1),lWt,2,6,[z8t,v9t,n7t,":mixed"])),XDt(zz(Wet(XX(t.qb),1),18),j8t,Ast(Zx(Vee,1),lWt,2,6,[z8t,w9t,n7t,"xmlns:prefix"])),XDt(zz(Wet(XX(t.qb),2),18),j8t,Ast(Zx(Vee,1),lWt,2,6,[z8t,w9t,n7t,"xsi:schemaLocation"])),XDt(zz(Wet(XX(t.qb),3),34),j8t,Ast(Zx(Vee,1),lWt,2,6,[z8t,m9t,n7t,"cDATA",_9t,E9t])),XDt(zz(Wet(XX(t.qb),4),34),j8t,Ast(Zx(Vee,1),lWt,2,6,[z8t,m9t,n7t,"comment",_9t,E9t])),XDt(zz(Wet(XX(t.qb),5),18),j8t,Ast(Zx(Vee,1),lWt,2,6,[z8t,m9t,n7t,ote,_9t,E9t])),XDt(zz(Wet(XX(t.qb),6),34),j8t,Ast(Zx(Vee,1),lWt,2,6,[z8t,m9t,n7t,L6t,_9t,E9t]))}function kKt(t){return mR("_UI_EMFDiagnostic_marker",t)?"EMF Problem":mR("_UI_CircularContainment_diagnostic",t)?"An object may not circularly contain itself":mR(p7t,t)?"Wrong character.":mR(b7t,t)?"Invalid reference number.":mR(w7t,t)?"A character is required after \\.":mR(y7t,t)?"'?' is not expected.  '(?:' or '(?=' or '(?!' or '(?<' or '(?#' or '(?>'?":mR(m7t,t)?"'(?<' or '(?<!' is expected.":mR(v7t,t)?"A comment is not terminated.":mR(x7t,t)?"')' is expected.":mR(k7t,t)?"Unexpected end of the pattern in a modifier group.":mR(_7t,t)?"':' is expected.":mR(E7t,t)?"Unexpected end of the pattern in a conditional group.":mR(T7t,t)?"A back reference or an anchor or a lookahead or a look-behind is expected in a conditional pattern.":mR(C7t,t)?"There are more than three choices in a conditional group.":mR(S7t,t)?"A character in U+0040-U+005f must follow \\c.":mR(A7t,t)?"A '{' is required before a character category.":mR(M7t,t)?"A property name is not closed by '}'.":mR(I7t,t)?"Unexpected meta character.":mR(L7t,t)?"Unknown property.":mR(D7t,t)?"A POSIX character class must be closed by ':]'.":mR(O7t,t)?"Unexpected end of the pattern in a character class.":mR(N7t,t)?"Unknown name for a POSIX character class.":mR("parser.cc.4",t)?"'-' is invalid here.":mR(P7t,t)?"']' is expected.":mR(B7t,t)?"'[' is invalid in a character class.  Write '\\['.":mR(F7t,t)?"']' is invalid in a character class.  Write '\\]'.":mR(R7t,t)?"'-' is an invalid character range. Write '\\-'.":mR($7t,t)?"'[' is expected.":mR(j7t,t)?"')' or '-[' or '+[' or '&[' is expected.":mR(z7t,t)?"The range end code point is less than the start code point.":mR(q7t,t)?"Invalid Unicode hex notation.":mR(H7t,t)?"Overflow in a hex notation.":mR(Z7t,t)?"'\\x{' must be closed by '}'.":mR(U7t,t)?"Invalid Unicode code point.":mR(Y7t,t)?"An anchor must not be here.":mR(G7t,t)?"This expression is not supported in the current option setting.":mR(K7t,t)?"Invalid quantifier. A digit is expected.":mR(W7t,t)?"Invalid quantifier. Invalid quantity or a '}' is missing.":mR(X7t,t)?"Invalid quantifier. A digit or '}' is expected.":mR(V7t,t)?"Invalid quantifier. A min quantity must be <= a max quantity.":mR(Q7t,t)?"Invalid quantifier. 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Registry":mR("_UI_InvocationDelegateRegistry_extensionpoint",t)?"Operation Invocation Delegate Factory Registry":mR("_UI_EClassInterfaceNotAbstract_diagnostic",t)?"A class that is an interface must also be abstract":mR("_UI_EClassNoCircularSuperTypes_diagnostic",t)?"A class may not be a super type of itself":mR("_UI_EClassNotWellFormedMapEntryNoInstanceClassName_diagnostic",t)?"A class that inherits from a map entry class must have instance class name 'java.util.Map$Entry'":mR("_UI_EReferenceOppositeOfOppositeInconsistent_diagnostic",t)?"The opposite of the opposite may not be a reference different from this one":mR("_UI_EReferenceOppositeNotFeatureOfType_diagnostic",t)?"The opposite must be a feature of the reference's type":mR("_UI_EReferenceTransientOppositeNotTransient_diagnostic",t)?"The opposite of a transient reference must be transient if it is proxy resolving":mR("_UI_EReferenceOppositeBothContainment_diagnostic",t)?"The opposite of a containment reference must not be a containment reference":mR("_UI_EReferenceConsistentUnique_diagnostic",t)?"A containment or bidirectional reference must be unique if its upper bound is different from 1":mR("_UI_ETypedElementNoType_diagnostic",t)?"The typed element must have a type":mR("_UI_EAttributeNoDataType_diagnostic",t)?"The generic attribute type must not refer to a class":mR("_UI_EReferenceNoClass_diagnostic",t)?"The generic reference type must not refer to a data type":mR("_UI_EGenericTypeNoTypeParameterAndClassifier_diagnostic",t)?"A generic type can't refer to both a type parameter and a classifier":mR("_UI_EGenericTypeNoClass_diagnostic",t)?"A generic super type must refer to a class":mR("_UI_EGenericTypeNoTypeParameterOrClassifier_diagnostic",t)?"A generic type in this context must refer to a classifier or a type parameter":mR("_UI_EGenericTypeBoundsOnlyForTypeArgument_diagnostic",t)?"A generic type may have bounds only when used as a type 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Rw,h8((!e.d&&(e.d=new DO(WLe,e,1)),e.d),n),jIt(zz(Wet(XX(t.k),0),34),e,"key",Hte,!1,!1,!0,!1),cat(zz(Wet(XX(t.k),1),34),t.s,E6t,null,0,1,Hte,!1,!1,!0,!1,!0,!1),pW(t.o,fTe,"IProperty",!0),pW(t.s,Dte,"PropertyValue",!0),Nlt(t,x6t))}function 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processing",D1t="org.eclipse.elk.alg.layered.intermediate.compaction",O1t="org.eclipse.elk.alg.layered.intermediate.greedyswitch",N1t="org.eclipse.elk.alg.layered.p3order.counting",P1t={225:1},B1t="org.eclipse.elk.alg.layered.intermediate.loops",F1t="org.eclipse.elk.alg.layered.intermediate.loops.ordering",R1t="org.eclipse.elk.alg.layered.intermediate.loops.routing",$1t="org.eclipse.elk.alg.layered.intermediate.preserveorder",j1t="org.eclipse.elk.alg.layered.intermediate.wrapping",z1t="org.eclipse.elk.alg.layered.options",q1t="INTERACTIVE",H1t="DEPTH_FIRST",Z1t="EDGE_LENGTH",U1t="SELF_LOOPS",Y1t="firstTryWithInitialOrder",G1t="org.eclipse.elk.layered.directionCongruency",K1t="org.eclipse.elk.layered.feedbackEdges",W1t="org.eclipse.elk.layered.interactiveReferencePoint",X1t="org.eclipse.elk.layered.mergeEdges",V1t="org.eclipse.elk.layered.mergeHierarchyEdges",Q1t="org.eclipse.elk.layered.allowNonFlowPortsToSwitchSides",J1t="org.eclipse.elk.layered.portSortingStrategy",t0t="org.eclipse.elk.layered.thoroughness",e0t="org.eclipse.elk.layered.unnecessaryBendpoints",n0t="org.eclipse.elk.layered.generatePositionAndLayerIds",i0t="org.eclipse.elk.layered.cycleBreaking.strategy",r0t="org.eclipse.elk.layered.layering.strategy",a0t="org.eclipse.elk.layered.layering.layerConstraint",o0t="org.eclipse.elk.layered.layering.layerChoiceConstraint",s0t="org.eclipse.elk.layered.layering.layerId",c0t="org.eclipse.elk.layered.layering.minWidth.upperBoundOnWidth",u0t="org.eclipse.elk.layered.layering.minWidth.upperLayerEstimationScalingFactor",l0t="org.eclipse.elk.layered.layering.nodePromotion.strategy",h0t="org.eclipse.elk.layered.layering.nodePromotion.maxIterations",f0t="org.eclipse.elk.layered.layering.coffmanGraham.layerBound",d0t="org.eclipse.elk.layered.crossingMinimization.strategy",g0t="org.eclipse.elk.layered.crossingMinimization.forceNodeModelOrder",p0t="org.eclipse.elk.layered.crossingMinimization.hierarchicalSweepiness",b0t="org.eclipse.elk.layered.crossingMinimization.semiInteractive",w0t="org.eclipse.elk.layered.crossingMinimization.positionChoiceConstraint",y0t="org.eclipse.elk.layered.crossingMinimization.positionId",m0t="org.eclipse.elk.layered.crossingMinimization.greedySwitch.activationThreshold",v0t="org.eclipse.elk.layered.crossingMinimization.greedySwitch.type",x0t="org.eclipse.elk.layered.crossingMinimization.greedySwitchHierarchical.type",k0t="org.eclipse.elk.layered.nodePlacement.strategy",_0t="org.eclipse.elk.layered.nodePlacement.favorStraightEdges",E0t="org.eclipse.elk.layered.nodePlacement.bk.edgeStraightening",T0t="org.eclipse.elk.layered.nodePlacement.bk.fixedAlignment",C0t="org.eclipse.elk.layered.nodePlacement.linearSegments.deflectionDampening",S0t="org.eclipse.elk.layered.nodePlacement.networkSimplex.nodeFlexibility",A0t="org.eclipse.elk.layered.nodePlacement.networkSimplex.nodeFlexibility.default",M0t="org.eclipse.elk.layered.edgeRouting.selfLoopDistribution",I0t="org.eclipse.elk.layered.edgeRouting.selfLoopOrdering",L0t="org.eclipse.elk.layered.edgeRouting.splines.mode",D0t="org.eclipse.elk.layered.edgeRouting.splines.sloppy.layerSpacingFactor",O0t="org.eclipse.elk.layered.edgeRouting.polyline.slopedEdgeZoneWidth",N0t="org.eclipse.elk.layered.spacing.baseValue",P0t="org.eclipse.elk.layered.spacing.edgeNodeBetweenLayers",B0t="org.eclipse.elk.layered.spacing.edgeEdgeBetweenLayers",F0t="org.eclipse.elk.layered.spacing.nodeNodeBetweenLayers",R0t="org.eclipse.elk.layered.priority.direction",$0t="org.eclipse.elk.layered.priority.shortness",j0t="org.eclipse.elk.layered.priority.straightness",z0t="org.eclipse.elk.layered.compaction.connectedComponents",q0t="org.eclipse.elk.layered.compaction.postCompaction.strategy",H0t="org.eclipse.elk.layered.compaction.postCompaction.constraints",Z0t="org.eclipse.elk.layered.highDegreeNodes.treatment",U0t="org.eclipse.elk.layered.highDegreeNodes.threshold",Y0t="org.eclipse.elk.layered.highDegreeNodes.treeHeight",G0t="org.eclipse.elk.layered.wrapping.strategy",K0t="org.eclipse.elk.layered.wrapping.additionalEdgeSpacing",W0t="org.eclipse.elk.layered.wrapping.correctionFactor",X0t="org.eclipse.elk.layered.wrapping.cutting.strategy",V0t="org.eclipse.elk.layered.wrapping.cutting.cuts",Q0t="org.eclipse.elk.layered.wrapping.cutting.msd.freedom",J0t="org.eclipse.elk.layered.wrapping.validify.strategy",t2t="org.eclipse.elk.layered.wrapping.validify.forbiddenIndices",e2t="org.eclipse.elk.layered.wrapping.multiEdge.improveCuts",n2t="org.eclipse.elk.layered.wrapping.multiEdge.distancePenalty",i2t="org.eclipse.elk.layered.wrapping.multiEdge.improveWrappedEdges",r2t="org.eclipse.elk.layered.edgeLabels.sideSelection",a2t="org.eclipse.elk.layered.edgeLabels.centerLabelPlacementStrategy",o2t="org.eclipse.elk.layered.considerModelOrder.strategy",s2t="org.eclipse.elk.layered.considerModelOrder.noModelOrder",c2t="org.eclipse.elk.layered.considerModelOrder.components",u2t="org.eclipse.elk.layered.considerModelOrder.longEdgeStrategy",l2t="org.eclipse.elk.layered.considerModelOrder.crossingCounterNodeInfluence",h2t="org.eclipse.elk.layered.considerModelOrder.crossingCounterPortInfluence",f2t="layering",d2t="layering.minWidth",g2t="layering.nodePromotion",p2t="crossingMinimization",b2t="org.eclipse.elk.hierarchyHandling",w2t="crossingMinimization.greedySwitch",y2t="nodePlacement",m2t="nodePlacement.bk",v2t="edgeRouting",x2t="org.eclipse.elk.edgeRouting",k2t="spacing",_2t="priority",E2t="compaction",T2t="compaction.postCompaction",C2t="Specifies whether and how post-process compaction is applied.",S2t="highDegreeNodes",A2t="wrapping",M2t="wrapping.cutting",I2t="wrapping.validify",L2t="wrapping.multiEdge",D2t="edgeLabels",O2t="considerModelOrder",N2t="org.eclipse.elk.spacing.commentComment",P2t="org.eclipse.elk.spacing.commentNode",B2t="org.eclipse.elk.spacing.edgeEdge",F2t="org.eclipse.elk.spacing.edgeNode",R2t="org.eclipse.elk.spacing.labelLabel",$2t="org.eclipse.elk.spacing.labelPortHorizontal",j2t="org.eclipse.elk.spacing.labelPortVertical",z2t="org.eclipse.elk.spacing.labelNode",q2t="org.eclipse.elk.spacing.nodeSelfLoop",H2t="org.eclipse.elk.spacing.portPort",Z2t="org.eclipse.elk.spacing.individual",U2t="org.eclipse.elk.port.borderOffset",Y2t="org.eclipse.elk.noLayout",G2t="org.eclipse.elk.port.side",K2t="org.eclipse.elk.debugMode",W2t="org.eclipse.elk.alignment",X2t="org.eclipse.elk.insideSelfLoops.activate",V2t="org.eclipse.elk.insideSelfLoops.yo",Q2t="org.eclipse.elk.nodeSize.fixedGraphSize",J2t="org.eclipse.elk.direction",t3t="org.eclipse.elk.nodeLabels.padding",e3t="org.eclipse.elk.portLabels.nextToPortIfPossible",n3t="org.eclipse.elk.portLabels.treatAsGroup",i3t="org.eclipse.elk.portAlignment.default",r3t="org.eclipse.elk.portAlignment.north",a3t="org.eclipse.elk.portAlignment.south",o3t="org.eclipse.elk.portAlignment.west",s3t="org.eclipse.elk.portAlignment.east",c3t="org.eclipse.elk.contentAlignment",u3t="org.eclipse.elk.junctionPoints",l3t="org.eclipse.elk.edgeLabels.placement",h3t="org.eclipse.elk.port.index",f3t="org.eclipse.elk.commentBox",d3t="org.eclipse.elk.hypernode",g3t="org.eclipse.elk.port.anchor",p3t="org.eclipse.elk.partitioning.activate",b3t="org.eclipse.elk.partitioning.partition",w3t="org.eclipse.elk.position",y3t="org.eclipse.elk.margins",m3t="org.eclipse.elk.spacing.portsSurrounding",v3t="org.eclipse.elk.interactiveLayout",x3t="org.eclipse.elk.core.util",k3t={3:1,4:1,5:1,593:1},_3t="NETWORK_SIMPLEX",E3t={123:1,51:1},T3t="org.eclipse.elk.alg.layered.p1cycles",C3t="org.eclipse.elk.alg.layered.p2layers",S3t={402:1,225:1},A3t={832:1,3:1,4:1},M3t="org.eclipse.elk.alg.layered.p3order",I3t="org.eclipse.elk.alg.layered.p4nodes",L3t={3:1,4:1,5:1,840:1},D3t=1e-5,O3t="org.eclipse.elk.alg.layered.p4nodes.bk",N3t="org.eclipse.elk.alg.layered.p5edges",P3t="org.eclipse.elk.alg.layered.p5edges.orthogonal",B3t="org.eclipse.elk.alg.layered.p5edges.orthogonal.direction",F3t=1e-6,R3t="org.eclipse.elk.alg.layered.p5edges.splines",$3t=.09999999999999998,j3t=1e-8,z3t=4.71238898038469,q3t=3.141592653589793,H3t="org.eclipse.elk.alg.mrtree",Z3t="org.eclipse.elk.alg.mrtree.graph",U3t="org.eclipse.elk.alg.mrtree.intermediate",Y3t="Set neighbors in level",G3t="DESCENDANTS",K3t="org.eclipse.elk.mrtree.weighting",W3t="org.eclipse.elk.mrtree.searchOrder",X3t="org.eclipse.elk.alg.mrtree.options",V3t="org.eclipse.elk.mrtree",Q3t="org.eclipse.elk.tree",J3t="org.eclipse.elk.alg.radial",t4t=6.283185307179586,e4t=5e-324,n4t="org.eclipse.elk.alg.radial.intermediate",i4t="org.eclipse.elk.alg.radial.intermediate.compaction",r4t={3:1,4:1,5:1,106:1},a4t="org.eclipse.elk.alg.radial.intermediate.optimization",o4t="No implementation is available for the layout option ",s4t="org.eclipse.elk.alg.radial.options",c4t="org.eclipse.elk.radial.orderId",u4t="org.eclipse.elk.radial.radius",l4t="org.eclipse.elk.radial.compactor",h4t="org.eclipse.elk.radial.compactionStepSize",f4t="org.eclipse.elk.radial.sorter",d4t="org.eclipse.elk.radial.wedgeCriteria",g4t="org.eclipse.elk.radial.optimizationCriteria",p4t="org.eclipse.elk.radial",b4t="org.eclipse.elk.alg.radial.p1position.wedge",w4t="org.eclipse.elk.alg.radial.sorting",y4t=5.497787143782138,m4t=3.9269908169872414,v4t=2.356194490192345,x4t="org.eclipse.elk.alg.rectpacking",k4t="org.eclipse.elk.alg.rectpacking.firstiteration",_4t="org.eclipse.elk.alg.rectpacking.options",E4t="org.eclipse.elk.rectpacking.optimizationGoal",T4t="org.eclipse.elk.rectpacking.lastPlaceShift",C4t="org.eclipse.elk.rectpacking.currentPosition",S4t="org.eclipse.elk.rectpacking.desiredPosition",A4t="org.eclipse.elk.rectpacking.onlyFirstIteration",M4t="org.eclipse.elk.rectpacking.rowCompaction",I4t="org.eclipse.elk.rectpacking.expandToAspectRatio",L4t="org.eclipse.elk.rectpacking.targetWidth",D4t="org.eclipse.elk.expandNodes",O4t="org.eclipse.elk.rectpacking",N4t="org.eclipse.elk.alg.rectpacking.util",P4t="No implementation available for ",B4t="org.eclipse.elk.alg.spore",F4t="org.eclipse.elk.alg.spore.options",R4t="org.eclipse.elk.sporeCompaction",$4t="org.eclipse.elk.underlyingLayoutAlgorithm",j4t="org.eclipse.elk.processingOrder.treeConstruction",z4t="org.eclipse.elk.processingOrder.spanningTreeCostFunction",q4t="org.eclipse.elk.processingOrder.preferredRoot",H4t="org.eclipse.elk.processingOrder.rootSelection",Z4t="org.eclipse.elk.structure.structureExtractionStrategy",U4t="org.eclipse.elk.compaction.compactionStrategy",Y4t="org.eclipse.elk.compaction.orthogonal",G4t="org.eclipse.elk.overlapRemoval.maxIterations",K4t="org.eclipse.elk.overlapRemoval.runScanline",W4t="processingOrder",X4t="overlapRemoval",V4t="org.eclipse.elk.sporeOverlap",Q4t="org.eclipse.elk.alg.spore.p1structure",J4t="org.eclipse.elk.alg.spore.p2processingorder",t5t="org.eclipse.elk.alg.spore.p3execution",e5t="Invalid index: ",n5t="org.eclipse.elk.core.alg",i5t={331:1},r5t={288:1},a5t="Make sure its type is registered with the ",o5t=" utility class.",s5t="true",c5t="false",u5t="Couldn't clone property '",l5t=.05,h5t="org.eclipse.elk.core.options",f5t=1.2999999523162842,d5t="org.eclipse.elk.box",g5t="org.eclipse.elk.box.packingMode",p5t="org.eclipse.elk.algorithm",b5t="org.eclipse.elk.resolvedAlgorithm",w5t="org.eclipse.elk.bendPoints",y5t="org.eclipse.elk.labelManager",m5t="org.eclipse.elk.scaleFactor",v5t="org.eclipse.elk.animate",x5t="org.eclipse.elk.animTimeFactor",k5t="org.eclipse.elk.layoutAncestors",_5t="org.eclipse.elk.maxAnimTime",E5t="org.eclipse.elk.minAnimTime",T5t="org.eclipse.elk.progressBar",C5t="org.eclipse.elk.validateGraph",S5t="org.eclipse.elk.validateOptions",A5t="org.eclipse.elk.zoomToFit",M5t="org.eclipse.elk.font.name",I5t="org.eclipse.elk.font.size",L5t="org.eclipse.elk.edge.type",D5t="partitioning",O5t="nodeLabels",N5t="portAlignment",P5t="nodeSize",B5t="port",F5t="portLabels",R5t="insideSelfLoops",$5t="org.eclipse.elk.fixed",j5t="org.eclipse.elk.random",z5t="port must have a parent node to calculate the port side",q5t="The edge needs to have exactly one edge section. Found: ",H5t="org.eclipse.elk.core.util.adapters",Z5t="org.eclipse.emf.ecore",U5t="org.eclipse.elk.graph",Y5t="EMapPropertyHolder",G5t="ElkBendPoint",K5t="ElkGraphElement",W5t="ElkConnectableShape",X5t="ElkEdge",V5t="ElkEdgeSection",Q5t="EModelElement",J5t="ENamedElement",t6t="ElkLabel",e6t="ElkNode",n6t="ElkPort",i6t={92:1,90:1},r6t="org.eclipse.emf.common.notify.impl",a6t="The feature '",o6t="' is not a valid changeable feature",s6t="Expecting null",c6t="' is not a valid feature",u6t="The feature ID",l6t=" is not a valid feature ID",h6t=32768,f6t={105:1,92:1,90:1,56:1,49:1,97:1},d6t="org.eclipse.emf.ecore.impl",g6t="org.eclipse.elk.graph.impl",p6t="Recursive containment not allowed for ",b6t="The datatype '",w6t="' is not a valid classifier",y6t="The value '",m6t={190:1,3:1,4:1},v6t="The class '",x6t="http://www.eclipse.org/elk/ElkGraph",k6t=1024,_6t="property",E6t="value",T6t="source",C6t="properties",S6t="identifier",A6t="height",M6t="width",I6t="parent",L6t="text",D6t="children",O6t="hierarchical",N6t="sources",P6t="targets",B6t="sections",F6t="bendPoints",R6t="outgoingShape",$6t="incomingShape",j6t="outgoingSections",z6t="incomingSections",q6t="org.eclipse.emf.common.util",H6t="Severe implementation error in the Json to ElkGraph importer.",Z6t="id",U6t="org.eclipse.elk.graph.json",Y6t="Unhandled parameter types: ",G6t="startPoint",K6t="An edge must have at least one source and one target (edge id: '",W6t="').",X6t="Referenced edge section does not exist: ",V6t=" (edge id: '",Q6t="target",J6t="sourcePoint",t7t="targetPoint",e7t="group",n7t="name",i7t="connectableShape cannot be null",r7t="edge cannot be null",a7t="Passed edge is not 'simple'.",o7t="org.eclipse.elk.graph.util",s7t="The 'no duplicates' constraint is violated",c7t="targetIndex=",u7t=", size=",l7t="sourceIndex=",h7t={3:1,4:1,20:1,28:1,52:1,14:1,15:1,54:1,67:1,63:1,58:1},f7t={3:1,4:1,20:1,28:1,52:1,14:1,47:1,15:1,54:1,67:1,63:1,58:1,588:1},d7t="logging",g7t="measureExecutionTime",p7t="parser.parse.1",b7t="parser.parse.2",w7t="parser.next.1",y7t="parser.next.2",m7t="parser.next.3",v7t="parser.next.4",x7t="parser.factor.1",k7t="parser.factor.2",_7t="parser.factor.3",E7t="parser.factor.4",T7t="parser.factor.5",C7t="parser.factor.6",S7t="parser.atom.1",A7t="parser.atom.2",M7t="parser.atom.3",I7t="parser.atom.4",L7t="parser.atom.5",D7t="parser.cc.1",O7t="parser.cc.2",N7t="parser.cc.3",P7t="parser.cc.5",B7t="parser.cc.6",F7t="parser.cc.7",R7t="parser.cc.8",$7t="parser.ope.1",j7t="parser.ope.2",z7t="parser.ope.3",q7t="parser.descape.1",H7t="parser.descape.2",Z7t="parser.descape.3",U7t="parser.descape.4",Y7t="parser.descape.5",G7t="parser.process.1",K7t="parser.quantifier.1",W7t="parser.quantifier.2",X7t="parser.quantifier.3",V7t="parser.quantifier.4",Q7t="parser.quantifier.5",J7t="org.eclipse.emf.common.notify",t8t={415:1,672:1},e8t={3:1,4:1,20:1,28:1,52:1,14:1,15:1,67:1,58:1},n8t={366:1,143:1},i8t="index=",r8t={3:1,4:1,5:1,126:1},a8t={3:1,4:1,20:1,28:1,52:1,14:1,15:1,54:1,67:1,58:1},o8t={3:1,6:1,4:1,5:1,192:1},s8t={3:1,4:1,5:1,165:1,367:1},c8t=";/?:@&=+$,",u8t="invalid 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The differences to the non-hierarchical case (see 'greedySwitch.type') are: 1) greedy switch is inactive by default, 3) only the option value set on the node at which hierarchical layout starts is relevant, and 2) if it's activated by the user, it properly addresses hierarchy-crossing edges."),lde),bTe),Mhe),edt(lTe)))),o2(t,x0t,d0t,hde),o2(t,x0t,b2t,fde),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,k0t),y2t),"Node Placement Strategy"),"Strategy for node placement."),Oge),bTe),Lye),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,_0t),y2t),"Favor Straight Edges Over Balancing"),"Favor straight edges over a balanced node placement. The default behavior is determined automatically based on the used 'edgeRouting'. For an orthogonal style it is set to true, for all other styles to false."),gTe),kee),edt(lTe)))),o2(t,_0t,k0t,_ge),o2(t,_0t,k0t,Ege),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,E0t),m2t),"BK Edge Straightening"),"Specifies whether the Brandes Koepf node placer tries to increase the number of straight edges at the expense of diagram size. There is a subtle difference to the 'favorStraightEdges' option, which decides whether a balanced placement of the nodes is desired, or not. In bk terms this means combining the four alignments into a single balanced one, or not. This option on the other hand tries to straighten additional edges during the creation of each of the four alignments."),wge),bTe),Jle),edt(lTe)))),o2(t,E0t,k0t,yge),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,T0t),m2t),"BK Fixed Alignment"),"Tells the BK node placer to use a certain alignment (out of its four) instead of the one producing the smallest height, or the combination of all four."),vge),bTe),she),edt(lTe)))),o2(t,T0t,k0t,xge),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,C0t),"nodePlacement.linearSegments"),"Linear Segments Deflection Dampening"),"Dampens the movement of nodes to keep the diagram from getting too large."),.3),pTe),Aee),edt(lTe)))),o2(t,C0t,k0t,Cge),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,S0t),"nodePlacement.networkSimplex"),"Node Flexibility"),"Aims at shorter and straighter edges. Two configurations are possible: (a) allow ports to move freely on the side they are assigned to (the order is always defined beforehand), (b) additionally allow to enlarge a node wherever it helps. If this option is not configured for a node, the 'nodeFlexibility.default' value is used, which is specified for the node's parent."),bTe),xye),edt(uTe)))),o2(t,S0t,k0t,Lge),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,A0t),"nodePlacement.networkSimplex.nodeFlexibility"),"Node Flexibility Default"),"Default value of the 'nodeFlexibility' option for the children of a hierarchical node."),Mge),bTe),xye),edt(lTe)))),o2(t,A0t,k0t,Ige),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,M0t),v2t),"Self-Loop Distribution"),"Alter the distribution of the loops around the node. It only takes effect for PortConstraints.FREE."),Pde),bTe),tme),edt(uTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,I0t),v2t),"Self-Loop Ordering"),"Alter the ordering of the loops they can either be stacked or sequenced. It only takes effect for PortConstraints.FREE."),Fde),bTe),ame),edt(uTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,L0t),"edgeRouting.splines"),"Spline Routing Mode"),"Specifies the way control points are assembled for each individual edge. CONSERVATIVE ensures that edges are properly routed around the nodes but feels rather orthogonal at times. SLOPPY uses fewer control points to obtain curvier edge routes but may result in edges overlapping nodes."),$de),bTe),lme),edt(lTe)))),o2(t,L0t,x2t,jde),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,D0t),"edgeRouting.splines.sloppy"),"Sloppy Spline Layer Spacing Factor"),"Spacing factor for routing area between layers when using sloppy spline routing."),.2),pTe),Aee),edt(lTe)))),o2(t,D0t,x2t,qde),o2(t,D0t,L0t,Hde),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,O0t),"edgeRouting.polyline"),"Sloped Edge Zone Width"),"Width of the strip to the left and to the right of each layer where the polyline edge router is allowed to refrain from ensuring that edges are routed horizontally. This prevents awkward bend points for nodes that extent almost to the edge of their layer."),2),pTe),Aee),edt(lTe)))),o2(t,O0t,x2t,Ode),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,N0t),k2t),"Spacing Base Value"),"An optional base value for all other layout options of the 'spacing' group. It can be used to conveniently alter the overall 'spaciousness' of the drawing. Whenever an explicit value is set for the other layout options, this base value will have no effect. The base value is not inherited, i.e. it must be set for each hierarchical node."),pTe),Aee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,P0t),k2t),"Edge Node Between Layers Spacing"),"The spacing to be preserved between nodes and edges that are routed next to the node's layer. For the spacing between nodes and edges that cross the node's layer 'spacing.edgeNode' is used."),10),pTe),Aee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,B0t),k2t),"Edge Edge Between Layer Spacing"),"Spacing to be preserved between pairs of edges that are routed between the same pair of layers. Note that 'spacing.edgeEdge' is used for the spacing between pairs of edges crossing the same layer."),10),pTe),Aee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,F0t),k2t),"Node Node Between Layers Spacing"),"The spacing to be preserved between any pair of nodes of two adjacent layers. Note that 'spacing.nodeNode' is used for the spacing between nodes within the layer itself."),20),pTe),Aee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,R0t),_2t),"Direction Priority"),"Defines how important it is to have a certain edge point into the direction of the overall layout. This option is evaluated during the cycle breaking phase."),rft(0)),yTe),Dee),edt(sTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,$0t),_2t),"Shortness Priority"),"Defines how important it is to keep an edge as short as possible. This option is evaluated during the layering phase."),rft(0)),yTe),Dee),edt(sTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,j0t),_2t),"Straightness Priority"),"Defines how important it is to keep an edge straight, i.e. aligned with one of the two axes. This option is evaluated during node placement."),rft(0)),yTe),Dee),edt(sTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,z0t),E2t),FQt),"Tries to further compact components (disconnected sub-graphs)."),!1),gTe),kee),edt(lTe)))),o2(t,z0t,kJt,!0),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,q0t),T2t),"Post Compaction Strategy"),C2t),Vfe),bTe),mhe),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,H0t),T2t),"Post Compaction Constraint Calculation"),C2t),Wfe),bTe),fle),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,Z0t),S2t),"High Degree Node Treatment"),"Makes room around high degree nodes to place leafs and trees."),!1),gTe),kee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,U0t),S2t),"High Degree Node Threshold"),"Whether a node is considered to have a high degree."),rft(16)),yTe),Dee),edt(lTe)))),o2(t,U0t,Z0t,!0),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,Y0t),S2t),"High Degree Node Maximum Tree Height"),"Maximum height of a subtree connected to a high degree node to be moved to separate layers."),rft(5)),yTe),Dee),edt(lTe)))),o2(t,Y0t,Z0t,!0),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,G0t),A2t),"Graph Wrapping Strategy"),"For certain graphs and certain prescribed drawing areas it may be desirable to split the laid out graph into chunks that are placed side by side. The edges that connect different chunks are 'wrapped' around from the end of one chunk to the start of the other chunk. The points between the chunks are referred to as 'cuts'."),dpe),bTe),Cme),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,K0t),A2t),"Additional Wrapped Edges Spacing"),"To visually separate edges that are wrapped from regularly routed edges an additional spacing value can be specified in form of this layout option. The spacing is added to the regular edgeNode spacing."),10),pTe),Aee),edt(lTe)))),o2(t,K0t,G0t,Yge),o2(t,K0t,G0t,Gge),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,W0t),A2t),"Correction Factor for Wrapping"),"At times and for certain types of graphs the executed wrapping may produce results that are consistently biased in the same fashion: either wrapping to often or to rarely. This factor can be used to correct the bias. Internally, it is simply multiplied with the 'aspect ratio' layout option."),1),pTe),Aee),edt(lTe)))),o2(t,W0t,G0t,Wge),o2(t,W0t,G0t,Xge),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,X0t),M2t),"Cutting Strategy"),"The strategy by which the layer indexes are determined at which the layering crumbles into chunks."),ipe),bTe),Ele),edt(lTe)))),o2(t,X0t,G0t,rpe),o2(t,X0t,G0t,ape),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,V0t),M2t),"Manually Specified Cuts"),"Allows the user to specify her own cuts for a certain graph."),mTe),Rte),edt(lTe)))),o2(t,V0t,X0t,Qge),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,Q0t),"wrapping.cutting.msd"),"MSD Freedom"),"The MSD cutting strategy starts with an initial guess on the number of chunks the graph should be split into. The freedom specifies how much the strategy may deviate from this guess. E.g. if an initial number of 3 is computed, a freedom of 1 allows 2, 3, and 4 cuts."),tpe),yTe),Dee),edt(lTe)))),o2(t,Q0t,X0t,epe),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,J0t),I2t),"Validification Strategy"),"When wrapping graphs, one can specify indices that are not allowed as split points. The validification strategy makes sure every computed split point is allowed."),ype),bTe),pme),edt(lTe)))),o2(t,J0t,G0t,mpe),o2(t,J0t,G0t,vpe),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,t2t),I2t),"Valid Indices for Wrapping"),null),mTe),Rte),edt(lTe)))),o2(t,t2t,G0t,ppe),o2(t,t2t,G0t,bpe),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,e2t),L2t),"Improve Cuts"),"For general graphs it is important that not too many edges wrap backwards. Thus a compromise between evenly-distributed cuts and the total number of cut edges is sought."),!0),gTe),kee),edt(lTe)))),o2(t,e2t,G0t,upe),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,n2t),L2t),"Distance Penalty When Improving Cuts"),null),2),pTe),Aee),edt(lTe)))),o2(t,n2t,G0t,spe),o2(t,n2t,e2t,!0),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,i2t),L2t),"Improve Wrapped Edges"),"The initial wrapping is performed in a very simple way. As a consequence, edges that wrap from one chunk to another may be unnecessarily long. Activating this option tries to shorten such edges."),!0),gTe),kee),edt(lTe)))),o2(t,i2t,G0t,hpe),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,r2t),D2t),"Edge Label Side Selection"),"Method to decide on edge label sides."),Lde),bTe),Ule),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,a2t),D2t),"Edge Center Label Placement Strategy"),"Determines in which layer center labels of long edges should be placed."),Mde),bTe),sle),_Z(lTe,Ast(Zx(kTe,1),OWt,175,0,[cTe]))))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,o2t),O2t),"Consider Model Order"),"Preserves the order of nodes and edges in the model file if this does not lead to additional edge crossings. Depending on the strategy this is not always possible since the node and edge order might be conflicting."),ode),bTe),jye),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,s2t),O2t),"No Model Order"),"Set on a node to not set a model order for this node even though it is a real node."),!1),gTe),kee),edt(uTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,c2t),O2t),"Consider Model Order for Components"),"If set to NONE the usual ordering strategy (by cumulative node priority and size of nodes) is used. INSIDE_PORT_SIDES orders the components with external ports only inside the groups with the same port side. FORCE_MODEL_ORDER enforces the mode order on components. This option might produce bad alignments and sub optimal drawings in terms of used area since the ordering should be respected."),Jfe),bTe),mse),edt(lTe)))),o2(t,c2t,kJt,null),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,u2t),O2t),"Long Edge Ordering Strategy"),"Indicates whether long edges are sorted under, over, or equal to nodes that have no connection to a previous layer in a left-to-right or right-to-left layout. Under and over changes to right and left in a vertical layout."),ide),bTe),gye),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,l2t),O2t),"Crossing Counter Node Order Influence"),"Indicates with what percentage (1 for 100%) violations of the node model order are weighted against the crossings e.g. a value of 0.5 means two model order violations are as important as on edge crossing. This allows some edge crossings in favor of preserving the model order. It is advised to set this value to a very small positive value (e.g. 0.001) to have minimal crossing and a optimal node order. Defaults to no influence (0)."),0),pTe),Aee),edt(lTe)))),o2(t,l2t,o2t,null),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,h2t),O2t),"Crossing Counter Port Order Influence"),"Indicates with what percentage (1 for 100%) violations of the port model order are weighted against the crossings e.g. a value of 0.5 means two model order violations are as important as on edge crossing. This allows some edge crossings in favor of preserving the model order. It is advised to set this value to a very small positive value (e.g. 0.001) to have minimal crossing and a optimal port order. Defaults to no influence (0)."),0),pTe),Aee),edt(lTe)))),o2(t,h2t,o2t,null),mKt((new fh,t))},yG(z1t,"LayeredMetaDataProvider",848),pLt(986,1,VVt,fh),CKt.Qe=function(t){mKt(t)},yG(z1t,"LayeredOptions",986),pLt(987,1,{},Aa),CKt.$e=function(){return new Yy},CKt._e=function(t){},yG(z1t,"LayeredOptions/LayeredFactory",987),pLt(1372,1,{}),CKt.a=0,yG(x3t,"ElkSpacings/AbstractSpacingsBuilder",1372),pLt(779,1372,{},cgt),yG(z1t,"LayeredSpacings/LayeredSpacingsBuilder",779),pLt(313,22,{3:1,35:1,22:1,313:1,246:1,234:1},FS),CKt.Kf=function(){return aOt(this)},CKt.Xf=function(){return aOt(this)};var rye,aye,oye,sye,cye=qnt(z1t,"LayeringStrategy",313,Gte,n8,fj);pLt(378,22,{3:1,35:1,22:1,378:1},RS);var uye,lye,hye,fye,dye,gye=qnt(z1t,"LongEdgeOrderingStrategy",378,Gte,_1,dj);pLt(197,22,{3:1,35:1,22:1,197:1},$S);var pye,bye,wye,yye,mye,vye,xye=qnt(z1t,"NodeFlexibility",197,Gte,x3,gj);pLt(315,22,{3:1,35:1,22:1,315:1,246:1,234:1},jS),CKt.Kf=function(){return FLt(this)},CKt.Xf=function(){return 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If the root node is set to `INHERIT` (or not set at all), the default behavior is `SEPARATE_CHILDREN`."),ECe),bTe),CAe),_Z(lTe,Ast(Zx(kTe,1),OWt,175,0,[uTe]))))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,VQt),""),"Padding"),"The padding to be left to a parent element's border when placing child elements. This can also serve as an output option of a layout algorithm if node size calculation is setup appropriately."),KCe),mTe),$se),_Z(lTe,Ast(Zx(kTe,1),OWt,175,0,[uTe]))))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,_Jt),""),"Interactive"),"Whether the algorithm should be run in interactive mode for the content of a parent node. What this means exactly depends on how the specific algorithm interprets this option. 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Yet, if any unforeseen behavior occurs, this option allows to deactivate the micro layout."),!1),gTe),kee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,EJt),""),"Port Constraints"),"Defines constraints of the position of the ports of a node."),cSe),bTe),oMe),edt(uTe)))),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,w3t),""),"Position"),"The position of a node, port, or label. This is used by the 'Fixed Layout' algorithm to specify a pre-defined position."),mTe),STe),_Z(uTe,Ast(Zx(kTe,1),OWt,175,0,[hTe,cTe]))))),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,yJt),""),"Priority"),"Defines the priority of an object; its meaning depends on the specific layout algorithm and the context where it is used."),yTe),Dee),_Z(uTe,Ast(Zx(kTe,1),OWt,175,0,[sTe]))))),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,xJt),""),"Randomization Seed"),"Seed used for pseudo-random number generators to control the layout algorithm. If the value is 0, the seed shall be determined pseudo-randomly (e.g. from the system time)."),yTe),Dee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,kJt),""),"Separate Connected Components"),"Whether each connected component should be processed separately."),gTe),kee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,u3t),""),"Junction Points"),"This option is not used as option, but as output of the layout algorithms. It is attached to edges and determines the points where junction symbols should be drawn in order to represent hyperedges with orthogonal routing. Whether such points are computed depends on the chosen layout algorithm and edge routing style. The points are put into the vector chain with no specific order."),LCe),mTe),NTe),edt(sTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,f3t),""),"Comment Box"),"Whether the node should be regarded as a comment box instead of a regular node. In that case its placement should be similar to how labels are handled. Any edges incident to a comment box specify to which graph elements the comment is related."),!1),gTe),kee),edt(uTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,d3t),""),"Hypernode"),"Whether the node should be handled as a hypernode."),!1),gTe),kee),edt(uTe)))),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,y5t),""),"Label Manager"),"Label managers can shorten labels upon a layout algorithm's request."),mTe),RNe),_Z(lTe,Ast(Zx(kTe,1),OWt,175,0,[cTe]))))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,y3t),""),"Margins"),"Margins define additional space around the actual bounds of a graph element. For instance, ports or labels being placed on the outside of a node's border might introduce such a margin. The margin is used to guarantee non-overlap of other graph elements with those ports or labels."),OCe),mTe),_se),edt(uTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,Y2t),""),"No Layout"),"No layout is done for the associated element. This is used to mark parts of a diagram to avoid their inclusion in the layout graph, or to mark parts of the layout graph to prevent layout engines from processing them. If you wish to exclude the contents of a compound node from automatic layout, while the node itself is still considered on its own layer, use the 'Fixed Layout' algorithm for that node."),!1),gTe),kee),_Z(uTe,Ast(Zx(kTe,1),OWt,175,0,[sTe,hTe,cTe]))))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,m5t),""),"Scale Factor"),"The scaling factor to be applied to the corresponding node in recursive layout. It causes the corresponding node's size to be adjusted, and its ports and labels to be sized and placed accordingly after the layout of that node has been determined (and before the node itself and its siblings are arranged). The scaling is not reverted afterwards, so the resulting layout graph contains the adjusted size and position data. This option is currently not supported if 'Layout Hierarchy' is set."),1),pTe),Aee),edt(uTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,v5t),""),"Animate"),"Whether the shift from the old layout to the new computed layout shall be animated."),!0),gTe),kee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,x5t),""),"Animation Time Factor"),"Factor for computation of animation time. The higher the value, the longer the animation time. If the value is 0, the resulting time is always equal to the minimum defined by 'Minimal Animation Time'."),rft(100)),yTe),Dee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,k5t),""),"Layout Ancestors"),"Whether the hierarchy levels on the path from the selected element to the root of the diagram shall be included in the layout process."),!1),gTe),kee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,_5t),""),"Maximal Animation Time"),"The maximal time for animations, in milliseconds."),rft(4e3)),yTe),Dee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,E5t),""),"Minimal Animation Time"),"The minimal time for animations, in milliseconds."),rft(400)),yTe),Dee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,T5t),""),"Progress Bar"),"Whether a progress bar shall be displayed during layout computations."),!1),gTe),kee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,C5t),""),"Validate Graph"),"Whether the graph shall be validated before any layout algorithm is applied. If this option is enabled and at least one error is found, the layout process is aborted and a message is shown to the user."),!1),gTe),kee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,S5t),""),"Validate Options"),"Whether layout options shall be validated before any layout algorithm is applied. If this option is enabled and at least one error is found, the layout process is aborted and a message is shown to the user."),!0),gTe),kee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,A5t),""),"Zoom to Fit"),"Whether the zoom level shall be set to view the whole diagram after layout."),!1),gTe),kee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,g5t),"box"),"Box Layout Mode"),"Configures the packing mode used by the {@link BoxLayoutProvider}. If SIMPLE is not required (neither priorities are used nor the interactive mode), GROUP_DEC can improve the packing and decrease the area. GROUP_MIXED and GROUP_INC may, in very specific scenarios, work better."),cCe),bTe),aIe),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,N2t),k2t),"Comment Comment Spacing"),"Spacing to be preserved between a comment box and other comment boxes connected to the same node. The space left between comment boxes of different nodes is controlled by the node-node spacing."),10),pTe),Aee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,P2t),k2t),"Comment Node Spacing"),"Spacing to be preserved between a node and its connected comment boxes. The space left between a node and the comments of another node is controlled by the node-node spacing."),10),pTe),Aee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,KQt),k2t),"Components Spacing"),"Spacing to be preserved between pairs of connected components. This option is only relevant if 'separateConnectedComponents' is activated."),20),pTe),Aee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,B2t),k2t),"Edge Spacing"),"Spacing to be preserved between any two edges. Note that while this can somewhat easily be satisfied for the segments of orthogonally drawn edges, it is harder for general polylines or splines."),10),pTe),Aee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,vJt),k2t),"Edge Label Spacing"),"The minimal distance to be preserved between a label and the edge it is associated with. Note that the placement of a label is influenced by the 'edgelabels.placement' option."),2),pTe),Aee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,F2t),k2t),"Edge Node Spacing"),"Spacing to be preserved between nodes and edges."),10),pTe),Aee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,R2t),k2t),"Label Spacing"),"Determines the amount of space to be left between two labels of the same graph element."),0),pTe),Aee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,z2t),k2t),"Label Node Spacing"),"Spacing to be preserved between labels and the border of node they are associated with. Note that the placement of a label is influenced by the 'nodelabels.placement' option."),5),pTe),Aee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,$2t),k2t),"Horizontal spacing between Label and Port"),"Horizontal spacing to be preserved between labels and the ports they are associated with. Note that the placement of a label is influenced by the 'portlabels.placement' option."),1),pTe),Aee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,j2t),k2t),"Vertical spacing between Label and Port"),"Vertical spacing to be preserved between labels and the ports they are associated with. Note that the placement of a label is influenced by the 'portlabels.placement' option."),1),pTe),Aee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,mJt),k2t),"Node Spacing"),"The minimal distance to be preserved between each two nodes."),20),pTe),Aee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,q2t),k2t),"Node Self Loop Spacing"),"Spacing to be preserved between a node and its self loops."),10),pTe),Aee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,H2t),k2t),"Port Spacing"),"Spacing between pairs of ports of the same node."),10),pTe),Aee),_Z(lTe,Ast(Zx(kTe,1),OWt,175,0,[uTe]))))),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,Z2t),k2t),"Individual Spacing"),"Allows to specify individual spacing values for graph elements that shall be different from the value specified for the element's parent."),mTe),lIe),_Z(uTe,Ast(Zx(kTe,1),OWt,175,0,[sTe,hTe,cTe]))))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,m3t),k2t),"Additional Port Space"),"Additional space around the sets of ports on each node side. For each side of a node, this option can reserve additional space before and after the ports on each side. For example, a top spacing of 20 makes sure that the first port on the western and eastern side is 20 units away from the northern border."),BSe),mTe),_se),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,b3t),D5t),"Layout Partition"),"Partition to which the node belongs. This requires Layout Partitioning to be active. Nodes with lower partition IDs will appear to the left of nodes with higher partition IDs (assuming a left-to-right layout direction)."),yTe),Dee),_Z(lTe,Ast(Zx(kTe,1),OWt,175,0,[uTe]))))),o2(t,b3t,p3t,QCe),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,p3t),D5t),"Layout Partitioning"),"Whether to activate partitioned layout. This will allow to group nodes through the Layout Partition option. a pair of nodes with different partition indices is then placed such that the node with lower index is placed to the left of the other node (with left-to-right layout direction). Depending on the layout algorithm, this may only be guaranteed to work if all nodes have a layout partition configured, or at least if edges that cross partitions are not part of a partition-crossing cycle."),XCe),gTe),kee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,t3t),O5t),"Node Label Padding"),"Define padding for node labels that are placed inside of a node."),PCe),mTe),$se),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,MJt),O5t),"Node Label Placement"),"Hints for where node labels are to be placed; if empty, the node label's position is not modified."),FCe),wTe),ZAe),_Z(uTe,Ast(Zx(kTe,1),OWt,175,0,[cTe]))))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,i3t),N5t),"Port Alignment"),"Defines the default port distribution for a node. May be overridden for each side individually."),tSe),bTe),QAe),edt(uTe)))),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,r3t),N5t),"Port Alignment (North)"),"Defines how ports on the northern side are placed, overriding the node's general port alignment."),bTe),QAe),edt(uTe)))),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,a3t),N5t),"Port Alignment (South)"),"Defines how ports on the southern side are placed, overriding the node's general port alignment."),bTe),QAe),edt(uTe)))),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,o3t),N5t),"Port Alignment (West)"),"Defines how ports on the western side are placed, overriding the node's general port alignment."),bTe),QAe),edt(uTe)))),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,s3t),N5t),"Port Alignment (East)"),"Defines how ports on the eastern side are placed, overriding the node's general port alignment."),bTe),QAe),edt(uTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,AJt),P5t),"Node Size Constraints"),"What should be taken into account when calculating a node's size. Empty size constraints specify that a node's size is already fixed and should not be changed."),$Ce),wTe),VMe),edt(uTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,SJt),P5t),"Node Size Options"),"Options modifying the behavior of the size constraints set on a node. Each member of the set specifies something that should be taken into account when calculating node sizes. The empty set corresponds to no further modifications."),ZCe),wTe),iIe),edt(uTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,qJt),P5t),"Node Size Minimum"),"The minimal size to which a node can be reduced."),qCe),mTe),STe),edt(uTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,Q2t),P5t),"Fixed Graph Size"),"By default, the fixed layout provider will enlarge a graph until it is large enough to contain its children. If this option is set, it won't do so."),!1),gTe),kee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,l3t),D2t),"Edge Label Placement"),"Gives a hint on where to put edge labels."),wCe),bTe),tAe),edt(cTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,TJt),D2t),"Inline Edge Labels"),"If true, an edge label is placed directly on its edge. May only apply to center edge labels. This kind of label placement is only advisable if the label's rendering is such that it is not crossed by its edge and thus stays legible."),!1),gTe),kee),edt(cTe)))),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,M5t),"font"),"Font Name"),"Font name used for a label."),vTe),Vee),edt(cTe)))),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,I5t),"font"),"Font Size"),"Font size used for a label."),yTe),Dee),edt(cTe)))),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,g3t),B5t),"Port Anchor Offset"),"The offset to the port position where connections shall be attached."),mTe),STe),edt(hTe)))),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,h3t),B5t),"Port Index"),"The index of a port in the fixed order around a node. The order is assumed as clockwise, starting with the leftmost port on the top side. This option must be set if 'Port Constraints' is set to FIXED_ORDER and no specific positions are given for the ports. Additionally, the option 'Port Side' must be defined in this case."),yTe),Dee),edt(hTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,G2t),B5t),"Port Side"),"The side of a node on which a port is situated. This option must be set if 'Port Constraints' is set to FIXED_SIDE or FIXED_ORDER and no specific positions are given for the ports."),pSe),bTe),jMe),edt(hTe)))),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,U2t),B5t),"Port Border Offset"),"The offset of ports on the node border. With a positive offset the port is moved outside of the node, while with a negative offset the port is moved towards the inside. An offset of 0 means that the port is placed directly on the node border, i.e. if the port side is north, the port's south border touches the nodes's north border; if the port side is east, the port's west border touches the nodes's east border; if the port side is south, the port's north border touches the node's south border; if the port side is west, the port's east border touches the node's west border."),pTe),Aee),edt(hTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,IJt),F5t),"Port Label Placement"),"Decides on a placement method for port labels; if empty, the node label's position is not modified."),fSe),wTe),MMe),edt(uTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,e3t),F5t),"Port Labels Next to Port"),"Use 'portLabels.placement': NEXT_TO_PORT_OF_POSSIBLE."),!1),gTe),kee),edt(uTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,n3t),F5t),"Treat Port Labels as Group"),"If this option is true (default), the labels of a port will be treated as a group when it comes to centering them next to their port. If this option is false, only the first label will be centered next to the port, with the others being placed below. This only applies to labels of eastern and western ports and will have no effect if labels are not placed next to their port."),!0),gTe),kee),edt(uTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,X2t),R5t),"Activate Inside Self Loops"),"Whether this node allows to route self loops inside of it instead of around it. If set to true, this will make the node a compound node if it isn't already, and will require the layout algorithm to support compound nodes with hierarchical ports."),!1),gTe),kee),edt(uTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,V2t),R5t),"Inside Self Loop"),"Whether a self loop should be routed inside a node instead of around that node."),!1),gTe),kee),edt(sTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,WQt),"edge"),"Edge Thickness"),"The thickness of an edge. This is a hint on the line width used to draw an edge, possibly requiring more space to be reserved for it."),1),pTe),Aee),edt(sTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,L5t),"edge"),"Edge Type"),"The type of an edge. This is usually used for UML class diagrams, where associations must be handled differently from generalizations."),xCe),bTe),vAe),edt(sTe)))),PT(t,new YJ(vk(kk(xk(new ys,p1t),"Layered"),'The layer-based method was introduced by Sugiyama, Tagawa and Toda in 1981. It emphasizes the direction of edges by pointing as many edges as possible into the same direction. The nodes are arranged in layers, which are sometimes called "hierarchies", and then reordered such that the number of edge crossings is minimized. Afterwards, concrete coordinates are computed for the nodes and edge bend points.'))),PT(t,new YJ(vk(kk(xk(new ys,"org.eclipse.elk.orthogonal"),"Orthogonal"),'Orthogonal methods that follow the "topology-shape-metrics" approach by Batini, Nardelli and Tamassia \'86. The first phase determines the topology of the drawing by applying a planarization technique, which results in a planar representation of the graph. The orthogonal shape is computed in the second phase, which aims at minimizing the number of edge bends, and is called orthogonalization. The third phase leads to concrete coordinates for nodes and edge bend points by applying a compaction method, thus defining the metrics.'))),PT(t,new YJ(vk(kk(xk(new ys,wJt),"Force"),"Layout algorithms that follow physical analogies by simulating a system of attractive and repulsive forces. 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Ilt(this,null);case 9:return void((e=HEt(this,null,null))&&e.Fi());case 10:return void Dft(this,!0);case 11:return void Pft(this,!1);case 12:return void Oft(this,!1);case 13:return this.i=null,void srt(this,null);case 15:return void Nft(this,!1);case 16:return void Zft(this,!1)}Zht(this,t-dG(this.zh()),iet(zz(xot(this,16),26)||this.zh(),t))},CKt.Gh=function(){xW(z9((ISt(),JDe),this)),Ixt(this),this.Bb|=1},CKt.Gj=function(){return this.f},CKt.zj=function(){return ZOt(this)},CKt.Hj=function(){return pJ(this)},CKt.Lj=function(){return null},CKt.pk=function(){return this.k},CKt.aj=function(){return this.n},CKt.Mj=function(){return u_t(this)},CKt.Nj=function(){var t,e,n,i,r,a,o,s,c;return this.p||((null==(n=pJ(this)).i&&Zjt(n),n.i).length,(i=this.Lj())&&dG(pJ(i)),t=(o=(r=Ixt(this)).Bj())?0!=(1&o.i)?o==DNe?kee:o==LNe?Dee:o==BNe?Mee:o==PNe?Aee:o==ONe?Ree:o==FNe?jee:o==NNe?Tee:See:o:null,e=ZOt(this),s=r.zj(),gdt(this),0!=(this.Bb&hWt)&&((a=vkt((ISt(),JDe),n))&&a!=this||(a=J1(z9(JDe,this))))?this.p=new LM(this,a):this.$j()?this.rk()?i?0!=(this.Bb&T8t)?t?this.sk()?this.p=new fX(47,t,this,i):this.p=new fX(5,t,this,i):this.sk()?this.p=new g4(46,this,i):this.p=new g4(4,this,i):t?this.sk()?this.p=new fX(49,t,this,i):this.p=new fX(7,t,this,i):this.sk()?this.p=new g4(48,this,i):this.p=new g4(6,this,i):0!=(this.Bb&T8t)?t?t==Hte?this.p=new Sz(50,WIe,this):this.sk()?this.p=new Sz(43,t,this):this.p=new Sz(1,t,this):this.sk()?this.p=new FV(42,this):this.p=new FV(0,this):t?t==Hte?this.p=new Sz(41,WIe,this):this.sk()?this.p=new Sz(45,t,this):this.p=new Sz(3,t,this):this.sk()?this.p=new FV(44,this):this.p=new FV(2,this):aO(r,148)?t==DDe?this.p=new FV(40,this):0!=(512&this.Bb)?0!=(this.Bb&T8t)?this.p=t?new Sz(9,t,this):new FV(8,this):this.p=t?new Sz(11,t,this):new FV(10,this):0!=(this.Bb&T8t)?this.p=t?new Sz(13,t,this):new FV(12,this):this.p=t?new Sz(15,t,this):new FV(14,this):i?(c=i.t)>1||-1==c?this.sk()?0!=(this.Bb&T8t)?this.p=t?new fX(25,t,this,i):new g4(24,this,i):this.p=t?new fX(27,t,this,i):new g4(26,this,i):0!=(this.Bb&T8t)?this.p=t?new fX(29,t,this,i):new g4(28,this,i):this.p=t?new fX(31,t,this,i):new g4(30,this,i):this.sk()?0!=(this.Bb&T8t)?this.p=t?new fX(33,t,this,i):new g4(32,this,i):this.p=t?new fX(35,t,this,i):new g4(34,this,i):0!=(this.Bb&T8t)?this.p=t?new fX(37,t,this,i):new g4(36,this,i):this.p=t?new fX(39,t,this,i):new g4(38,this,i):this.sk()?0!=(this.Bb&T8t)?this.p=t?new Sz(17,t,this):new FV(16,this):this.p=t?new Sz(19,t,this):new FV(18,this):0!=(this.Bb&T8t)?this.p=t?new Sz(21,t,this):new FV(20,this):this.p=t?new Sz(23,t,this):new FV(22,this):this.qk()?this.sk()?this.p=new Az(zz(r,26),this,i):this.p=new mQ(zz(r,26),this,i):aO(r,148)?t==DDe?this.p=new FV(40,this):0!=(this.Bb&T8t)?this.p=t?new tU(e,s,this,(qgt(),o==LNe?HDe:o==DNe?RDe:o==ONe?ZDe:o==BNe?qDe:o==PNe?zDe:o==FNe?YDe:o==NNe?$De:o==INe?jDe:UDe)):new pX(zz(r,148),e,s,this):this.p=t?new JZ(e,s,this,(qgt(),o==LNe?HDe:o==DNe?RDe:o==ONe?ZDe:o==BNe?qDe:o==PNe?zDe:o==FNe?YDe:o==NNe?$De:o==INe?jDe:UDe)):new gX(zz(r,148),e,s,this):this.rk()?i?0!=(this.Bb&T8t)?this.sk()?this.p=new Nz(zz(r,26),this,i):this.p=new Oz(zz(r,26),this,i):this.sk()?this.p=new Dz(zz(r,26),this,i):this.p=new Mz(zz(r,26),this,i):0!=(this.Bb&T8t)?this.sk()?this.p=new nB(zz(r,26),this):this.p=new eB(zz(r,26),this):this.sk()?this.p=new tB(zz(r,26),this):this.p=new JP(zz(r,26),this):this.sk()?i?0!=(this.Bb&T8t)?this.p=new Pz(zz(r,26),this,i):this.p=new Iz(zz(r,26),this,i):0!=(this.Bb&T8t)?this.p=new rB(zz(r,26),this):this.p=new iB(zz(r,26),this):i?0!=(this.Bb&T8t)?this.p=new Bz(zz(r,26),this,i):this.p=new Lz(zz(r,26),this,i):0!=(this.Bb&T8t)?this.p=new aB(zz(r,26),this):this.p=new aZ(zz(r,26),this)),this.p},CKt.Ij=function(){return 0!=(this.Bb&k6t)},CKt.qk=function(){return!1},CKt.rk=function(){return!1},CKt.Jj=function(){return 0!=(this.Bb&hWt)},CKt.Oj=function(){return ltt(this)},CKt.sk=function(){return!1},CKt.Kj=function(){return 0!=(this.Bb&T8t)},CKt.tk=function(t){this.k=t},CKt.Lh=function(t){QJ(this,t)},CKt.Ib=function(){return EFt(this)},CKt.e=!1,CKt.n=0,yG(d6t,"EStructuralFeatureImpl",449),pLt(322,449,{105:1,92:1,90:1,34:1,147:1,191:1,56:1,170:1,66:1,108:1,472:1,49:1,97:1,322:1,150:1,449:1,284:1,114:1,115:1,677:1},Im),CKt._g=function(t,e,n){switch(t){case 0:return!this.Ab&&(this.Ab=new nY(RLe,this,0,3)),this.Ab;case 1:return this.zb;case 2:return lN(),0!=(256&this.Bb);case 3:return lN(),0!=(512&this.Bb);case 4:return rft(this.s);case 5:return rft(this.t);case 6:return lN(),!!PMt(this);case 7:return lN(),this.s>=1;case 8:return e?Ixt(this):this.r;case 9:return this.q;case 10:return lN(),0!=(this.Bb&k6t);case 11:return lN(),0!=(this.Bb&C8t);case 12:return lN(),0!=(this.Bb&jXt);case 13:return this.j;case 14:return ZOt(this);case 15:return lN(),0!=(this.Bb&T8t);case 16:return lN(),0!=(this.Bb&hWt);case 17:return pJ(this);case 18:return lN(),0!=(this.Bb&h6t);case 19:return e?cst(this):P6(this)}return Y8(this,t-dG((wKt(),iDe)),iet(zz(xot(this,16),26)||iDe,t),e,n)},CKt.lh=function(t){switch(t){case 0:return!!this.Ab&&0!=this.Ab.i;case 1:return null!=this.zb;case 2:return 0==(256&this.Bb);case 3:return 0==(512&this.Bb);case 4:return 0!=this.s;case 5:return 1!=this.t;case 6:return PMt(this);case 7:return this.s>=1;case 8:return!!this.r&&!this.q.e&&0==vK(this.q).i;case 9:return!(!this.q||this.r&&!this.q.e&&0==vK(this.q).i);case 10:return 0==(this.Bb&k6t);case 11:return 0!=(this.Bb&C8t);case 12:return 0!=(this.Bb&jXt);case 13:return null!=this.j;case 14:return null!=ZOt(this);case 15:return 0!=(this.Bb&T8t);case 16:return 0!=(this.Bb&hWt);case 17:return!!pJ(this);case 18:return 0!=(this.Bb&h6t);case 19:return!!P6(this)}return I3(this,t-dG((wKt(),iDe)),iet(zz(xot(this,16),26)||iDe,t))},CKt.sh=function(t,e){var n;switch(t){case 0:return!this.Ab&&(this.Ab=new nY(RLe,this,0,3)),lHt(this.Ab),!this.Ab&&(this.Ab=new nY(RLe,this,0,3)),void wG(this.Ab,zz(e,14));case 1:return void QJ(this,CB(e));case 2:return void Qht(this,Hv(EB(e)));case 3:return void eft(this,Hv(EB(e)));case 4:return void Nnt(this,zz(e,19).a);case 5:return void Yk(this,zz(e,19).a);case 8:return void Ilt(this,zz(e,138));case 9:return void((n=HEt(this,zz(e,87),null))&&n.Fi());case 10:return void Dft(this,Hv(EB(e)));case 11:return void Pft(this,Hv(EB(e)));case 12:return void Oft(this,Hv(EB(e)));case 13:return void $M(this,CB(e));case 15:return void Nft(this,Hv(EB(e)));case 16:return void Zft(this,Hv(EB(e)));case 18:return void Uft(this,Hv(EB(e)))}Ndt(this,t-dG((wKt(),iDe)),iet(zz(xot(this,16),26)||iDe,t),e)},CKt.zh=function(){return wKt(),iDe},CKt.Bh=function(t){var e;switch(t){case 0:return!this.Ab&&(this.Ab=new nY(RLe,this,0,3)),void lHt(this.Ab);case 1:return aO(this.Cb,88)&&DAt(S5(zz(this.Cb,88)),4),void Prt(this,null);case 2:return void Qht(this,!0);case 3:return void eft(this,!0);case 4:return void Nnt(this,0);case 5:return this.b=0,void Pnt(this,1);case 8:return void Ilt(this,null);case 9:return void((e=HEt(this,null,null))&&e.Fi());case 10:return void Dft(this,!0);case 11:return void Pft(this,!1);case 12:return void Oft(this,!1);case 13:return this.i=null,void srt(this,null);case 15:return void Nft(this,!1);case 16:return void Zft(this,!1);case 18:return void Uft(this,!1)}Zht(this,t-dG((wKt(),iDe)),iet(zz(xot(this,16),26)||iDe,t))},CKt.Gh=function(){cst(this),xW(z9((ISt(),JDe),this)),Ixt(this),this.Bb|=1},CKt.$j=function(){return PMt(this)},CKt.nk=function(t,e){return this.b=0,this.a=null,Aht(this,t,e)},CKt.ok=function(t){Yk(this,t)},CKt.Ib=function(){var t;return 0!=(64&this.Db)?EFt(this):((t=new hN(EFt(this))).a+=" (iD: ",v_(t,0!=(this.Bb&h6t)),t.a+=")",t.a)},CKt.b=0,yG(d6t,"EAttributeImpl",322),pLt(351,438,{105:1,92:1,90:1,138:1,147:1,191:1,56:1,108:1,49:1,97:1,351:1,150:1,114:1,115:1,676:1}),CKt.uk=function(t){return t.Tg()==this},CKt.Qg=function(t){return fvt(this,t)},CKt.Rg=function(t,e){this.w=null,this.Db=e<<16|255&this.Db,this.Cb=t},CKt._g=function(t,e,n){switch(t){case 0:return!this.Ab&&(this.Ab=new nY(RLe,this,0,3)),this.Ab;case 1:return this.zb;case 2:return null!=this.D?this.D:this.B;case 3:return rvt(this);case 4:return this.zj();case 5:return this.F;case 6:return e?Get(this):gJ(this);case 7:return!this.A&&(this.A=new NO(IDe,this,7)),this.A}return Y8(this,t-dG(this.zh()),iet(zz(xot(this,16),26)||this.zh(),t),e,n)},CKt.hh=function(t,e,n){var i;switch(e){case 0:return!this.Ab&&(this.Ab=new nY(RLe,this,0,3)),Qgt(this.Ab,t,n);case 6:return this.Cb&&(n=(i=this.Db>>16)>=0?fvt(this,n):this.Cb.ih(this,-1-i,null,n)),T$t(this,t,6,n)}return zz(iet(zz(xot(this,16),26)||this.zh(),e),66).Nj().Qj(this,fbt(this),e-dG(this.zh()),t,n)},CKt.jh=function(t,e,n){switch(e){case 0:return!this.Ab&&(this.Ab=new nY(RLe,this,0,3)),jwt(this.Ab,t,n);case 6:return T$t(this,null,6,n);case 7:return!this.A&&(this.A=new NO(IDe,this,7)),jwt(this.A,t,n)}return zz(iet(zz(xot(this,16),26)||this.zh(),e),66).Nj().Rj(this,fbt(this),e-dG(this.zh()),t,n)},CKt.lh=function(t){switch(t){case 0:return!!this.Ab&&0!=this.Ab.i;case 1:return null!=this.zb;case 2:return null!=this.D&&this.D==this.F;case 3:return!!rvt(this);case 4:return null!=this.zj();case 5:return null!=this.F&&this.F!=this.D&&this.F!=this.B;case 6:return!!gJ(this);case 7:return!!this.A&&0!=this.A.i}return I3(this,t-dG(this.zh()),iet(zz(xot(this,16),26)||this.zh(),t))},CKt.sh=function(t,e){switch(t){case 0:return!this.Ab&&(this.Ab=new nY(RLe,this,0,3)),lHt(this.Ab),!this.Ab&&(this.Ab=new nY(RLe,this,0,3)),void wG(this.Ab,zz(e,14));case 1:return void JJ(this,CB(e));case 2:return void ML(this,CB(e));case 5:return void QHt(this,CB(e));case 7:return!this.A&&(this.A=new NO(IDe,this,7)),lHt(this.A),!this.A&&(this.A=new NO(IDe,this,7)),void wG(this.A,zz(e,14))}Ndt(this,t-dG(this.zh()),iet(zz(xot(this,16),26)||this.zh(),t),e)},CKt.zh=function(){return wKt(),aDe},CKt.Bh=function(t){switch(t){case 0:return!this.Ab&&(this.Ab=new nY(RLe,this,0,3)),void lHt(this.Ab);case 1:return aO(this.Cb,179)&&(zz(this.Cb,179).tb=null),void Prt(this,null);case 2:return Fut(this,null),void Bnt(this,this.D);case 5:return void QHt(this,null);case 7:return!this.A&&(this.A=new NO(IDe,this,7)),void lHt(this.A)}Zht(this,t-dG(this.zh()),iet(zz(xot(this,16),26)||this.zh(),t))},CKt.yj=function(){var t;return-1==this.G&&(this.G=(t=Get(this))?cyt(t.Mh(),this):-1),this.G},CKt.zj=function(){return null},CKt.Aj=function(){return Get(this)},CKt.vk=function(){return this.v},CKt.Bj=function(){return rvt(this)},CKt.Cj=function(){return null!=this.D?this.D:this.B},CKt.Dj=function(){return this.F},CKt.wj=function(t){return Sjt(this,t)},CKt.wk=function(t){this.v=t},CKt.xk=function(t){Grt(this,t)},CKt.yk=function(t){this.C=t},CKt.Lh=function(t){JJ(this,t)},CKt.Ib=function(){return Mgt(this)},CKt.C=null,CKt.D=null,CKt.G=-1,yG(d6t,"EClassifierImpl",351),pLt(88,351,{105:1,92:1,90:1,26:1,138:1,147:1,191:1,56:1,108:1,49:1,97:1,88:1,351:1,150:1,473:1,114:1,115:1,676:1},Rh),CKt.uk=function(t){return XF(this,t.Tg())},CKt._g=function(t,e,n){switch(t){case 0:return!this.Ab&&(this.Ab=new nY(RLe,this,0,3)),this.Ab;case 1:return this.zb;case 2:return null!=this.D?this.D:this.B;case 3:return rvt(this);case 4:return null;case 5:return this.F;case 6:return e?Get(this):gJ(this);case 7:return!this.A&&(this.A=new NO(IDe,this,7)),this.A;case 8:return lN(),0!=(256&this.Bb);case 9:return lN(),0!=(512&this.Bb);case 10:return xV(this);case 11:return!this.q&&(this.q=new nY(XLe,this,11,10)),this.q;case 12:return Qzt(this);case 13:return Rzt(this);case 14:return Rzt(this),this.r;case 15:return 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Fh),this.k).ck(),t))},yG(P9t,"SimpleAnyTypeImpl",668),pLt(669,506,{105:1,92:1,90:1,56:1,49:1,97:1,2023:1,669:1},Rm),CKt._g=function(t,e,n){switch(t){case 0:return n?(!this.a&&(this.a=new Eat(this,0)),this.a):(!this.a&&(this.a=new Eat(this,0)),this.a.b);case 1:return n?(!this.b&&(this.b=new v8((wKt(),xDe),GDe,this,1)),this.b):(!this.b&&(this.b=new v8((wKt(),xDe),GDe,this,1)),L7(this.b));case 2:return n?(!this.c&&(this.c=new v8((wKt(),xDe),GDe,this,2)),this.c):(!this.c&&(this.c=new v8((wKt(),xDe),GDe,this,2)),L7(this.c));case 3:return!this.a&&(this.a=new Eat(this,0)),t1(this.a,(GHt(),BOe));case 4:return!this.a&&(this.a=new Eat(this,0)),t1(this.a,(GHt(),FOe));case 5:return!this.a&&(this.a=new Eat(this,0)),t1(this.a,(GHt(),$Oe));case 6:return!this.a&&(this.a=new Eat(this,0)),t1(this.a,(GHt(),jOe))}return Y8(this,t-dG((GHt(),POe)),iet(0==(2&this.j)?POe:(!this.k&&(this.k=new Fh),this.k).ck(),t),e,n)},CKt.jh=function(t,e,n){switch(e){case 0:return!this.a&&(this.a=new Eat(this,0)),TRt(this.a,t,n);case 1:return!this.b&&(this.b=new v8((wKt(),xDe),GDe,this,1)),zR(this.b,t,n);case 2:return!this.c&&(this.c=new v8((wKt(),xDe),GDe,this,2)),zR(this.c,t,n);case 5:return!this.a&&(this.a=new Eat(this,0)),eF(t1(this.a,(GHt(),$Oe)),t,n)}return zz(iet(0==(2&this.j)?(GHt(),POe):(!this.k&&(this.k=new Fh),this.k).ck(),e),66).Nj().Rj(this,X9(this),e-dG((GHt(),POe)),t,n)},CKt.lh=function(t){switch(t){case 0:return!!this.a&&0!=this.a.i;case 1:return!!this.b&&0!=this.b.f;case 2:return!!this.c&&0!=this.c.f;case 3:return!this.a&&(this.a=new Eat(this,0)),!qM(t1(this.a,(GHt(),BOe)));case 4:return!this.a&&(this.a=new Eat(this,0)),!qM(t1(this.a,(GHt(),FOe)));case 5:return!this.a&&(this.a=new Eat(this,0)),!qM(t1(this.a,(GHt(),$Oe)));case 6:return!this.a&&(this.a=new Eat(this,0)),!qM(t1(this.a,(GHt(),jOe)))}return I3(this,t-dG((GHt(),POe)),iet(0==(2&this.j)?POe:(!this.k&&(this.k=new Fh),this.k).ck(),t))},CKt.sh=function(t,e){switch(t){case 0:return!this.a&&(this.a=new Eat(this,0)),void eG(this.a,e);case 1:return!this.b&&(this.b=new v8((wKt(),xDe),GDe,this,1)),void not(this.b,e);case 2:return!this.c&&(this.c=new v8((wKt(),xDe),GDe,this,2)),void not(this.c,e);case 3:return!this.a&&(this.a=new Eat(this,0)),Ny(t1(this.a,(GHt(),BOe))),!this.a&&(this.a=new Eat(this,0)),void JD(t1(this.a,BOe),zz(e,14));case 4:return!this.a&&(this.a=new Eat(this,0)),Ny(t1(this.a,(GHt(),FOe))),!this.a&&(this.a=new Eat(this,0)),void JD(t1(this.a,FOe),zz(e,14));case 5:return!this.a&&(this.a=new Eat(this,0)),Ny(t1(this.a,(GHt(),$Oe))),!this.a&&(this.a=new Eat(this,0)),void JD(t1(this.a,$Oe),zz(e,14));case 6:return!this.a&&(this.a=new Eat(this,0)),Ny(t1(this.a,(GHt(),jOe))),!this.a&&(this.a=new Eat(this,0)),void JD(t1(this.a,jOe),zz(e,14))}Ndt(this,t-dG((GHt(),POe)),iet(0==(2&this.j)?POe:(!this.k&&(this.k=new Fh),this.k).ck(),t),e)},CKt.zh=function(){return GHt(),POe},CKt.Bh=function(t){switch(t){case 0:return!this.a&&(this.a=new Eat(this,0)),void lHt(this.a);case 1:return!this.b&&(this.b=new v8((wKt(),xDe),GDe,this,1)),void this.b.c.$b();case 2:return!this.c&&(this.c=new v8((wKt(),xDe),GDe,this,2)),void this.c.c.$b();case 3:return!this.a&&(this.a=new Eat(this,0)),void Ny(t1(this.a,(GHt(),BOe)));case 4:return!this.a&&(this.a=new Eat(this,0)),void Ny(t1(this.a,(GHt(),FOe)));case 5:return!this.a&&(this.a=new Eat(this,0)),void Ny(t1(this.a,(GHt(),$Oe)));case 6:return!this.a&&(this.a=new Eat(this,0)),void Ny(t1(this.a,(GHt(),jOe)))}Zht(this,t-dG((GHt(),POe)),iet(0==(2&this.j)?POe:(!this.k&&(this.k=new Fh),this.k).ck(),t))},CKt.Ib=function(){var t;return 0!=(4&this.j)?ADt(this):((t=new hN(ADt(this))).a+=" (mixed: ",rI(t,this.a),t.a+=")",t.a)},yG(P9t,"XMLTypeDocumentRootImpl",669),pLt(1919,704,{105:1,92:1,90:1,471:1,147:1,56:1,108:1,49:1,97:1,150:1,114:1,115:1,2024:1},Bu),CKt.Ih=function(t,e){switch(t.yj()){case 7:case 8:case 9:case 10:case 16:case 22:case 23:case 24:case 25:case 26:case 32:case 33:case 34:case 36:case 37:case 44:case 45:case 50:case 51:case 53:case 55:case 56:case 57:case 58:case 60:case 61:case 4:return null==e?null:qdt(e);case 19:case 28:case 29:case 35:case 38:case 39:case 41:case 46:case 52:case 54:case 5:return CB(e);case 6:return mB(zz(e,190));case 12:case 47:case 49:case 11:return ZZt(this,t,e);case 13:return null==e?null:Uzt(zz(e,240));case 15:case 14:return null==e?null:FY(Zv(TB(e)));case 17:return E_t((GHt(),e));case 18:return E_t(e);case 21:case 20:return null==e?null:RY(zz(e,155).a);case 27:return vB(zz(e,190));case 30:return jmt((GHt(),zz(e,15)));case 31:return jmt(zz(e,15));case 40:return kB((GHt(),e));case 42:return T_t((GHt(),e));case 43:return T_t(e);case 59:case 48:return xB((GHt(),e));default:throw qw(new $v(b6t+t.ne()+w6t))}},CKt.Jh=function(t){var e;switch(-1==t.G&&(t.G=(e=Get(t))?cyt(e.Mh(),t):-1),t.G){case 0:return new Fm;case 1:return new Fu;case 2:return new $m;case 3:return new Rm;default:throw qw(new $v(v6t+t.zb+w6t))}},CKt.Kh=function(t,e){var n,i,r,a,o,s,c,u,l,h,f,d,g,p,b,w;switch(t.yj()){case 5:case 52:case 4:return e;case 6:return xwt(e);case 8:case 7:return null==e?null:j_t(e);case 9:return null==e?null:Stt(d$t((i=zzt(e,!0)).length>0&&(d1(0,i.length),43==i.charCodeAt(0))?i.substr(1):i,-128,127)<<24>>24);case 10:return null==e?null:Stt(d$t((r=zzt(e,!0)).length>0&&(d1(0,r.length),43==r.charCodeAt(0))?r.substr(1):r,-128,127)<<24>>24);case 11:return CB(BGt(this,(GHt(),xOe),e));case 12:return CB(BGt(this,(GHt(),kOe),e));case 13:return null==e?null:new g_(zzt(e,!0));case 15:case 14:return wOt(e);case 16:return CB(BGt(this,(GHt(),_Oe),e));case 17:return Hpt((GHt(),e));case 18:return Hpt(e);case 28:case 29:case 35:case 38:case 39:case 41:case 54:case 19:return zzt(e,!0);case 21:case 20:return IOt(e);case 22:return CB(BGt(this,(GHt(),EOe),e));case 23:return CB(BGt(this,(GHt(),TOe),e));case 24:return CB(BGt(this,(GHt(),COe),e));case 25:return CB(BGt(this,(GHt(),SOe),e));case 26:return CB(BGt(this,(GHt(),AOe),e));case 27:return twt(e);case 30:return Zpt((GHt(),e));case 31:return Zpt(e);case 32:return null==e?null:rft(d$t((l=zzt(e,!0)).length>0&&(d1(0,l.length),43==l.charCodeAt(0))?l.substr(1):l,jWt,FKt));case 33:return null==e?null:new DL((h=zzt(e,!0)).length>0&&(d1(0,h.length),43==h.charCodeAt(0))?h.substr(1):h);case 34:return null==e?null:rft(d$t((f=zzt(e,!0)).length>0&&(d1(0,f.length),43==f.charCodeAt(0))?f.substr(1):f,jWt,FKt));case 36:return null==e?null:_bt(aYt((d=zzt(e,!0)).length>0&&(d1(0,d.length),43==d.charCodeAt(0))?d.substr(1):d));case 37:return null==e?null:_bt(aYt((g=zzt(e,!0)).length>0&&(d1(0,g.length),43==g.charCodeAt(0))?g.substr(1):g));case 40:return Xgt((GHt(),e));case 42:return Upt((GHt(),e));case 43:return Upt(e);case 44:return null==e?null:new DL((p=zzt(e,!0)).length>0&&(d1(0,p.length),43==p.charCodeAt(0))?p.substr(1):p);case 45:return null==e?null:new DL((b=zzt(e,!0)).length>0&&(d1(0,b.length),43==b.charCodeAt(0))?b.substr(1):b);case 46:return zzt(e,!1);case 47:return CB(BGt(this,(GHt(),MOe),e));case 59:case 48:return Wgt((GHt(),e));case 49:return CB(BGt(this,(GHt(),LOe),e));case 50:return null==e?null:aft(d$t((w=zzt(e,!0)).length>0&&(d1(0,w.length),43==w.charCodeAt(0))?w.substr(1):w,V8t,32767)<<16>>16);case 51:return null==e?null:aft(d$t((a=zzt(e,!0)).length>0&&(d1(0,a.length),43==a.charCodeAt(0))?a.substr(1):a,V8t,32767)<<16>>16);case 53:return CB(BGt(this,(GHt(),NOe),e));case 55:return null==e?null:aft(d$t((o=zzt(e,!0)).length>0&&(d1(0,o.length),43==o.charCodeAt(0))?o.substr(1):o,V8t,32767)<<16>>16);case 56:return null==e?null:aft(d$t((s=zzt(e,!0)).length>0&&(d1(0,s.length),43==s.charCodeAt(0))?s.substr(1):s,V8t,32767)<<16>>16);case 57:return null==e?null:_bt(aYt((c=zzt(e,!0)).length>0&&(d1(0,c.length),43==c.charCodeAt(0))?c.substr(1):c));case 58:return null==e?null:_bt(aYt((u=zzt(e,!0)).length>0&&(d1(0,u.length),43==u.charCodeAt(0))?u.substr(1):u));case 60:return null==e?null:rft(d$t((n=zzt(e,!0)).length>0&&(d1(0,n.length),43==n.charCodeAt(0))?n.substr(1):n,jWt,FKt));case 61:return null==e?null:rft(d$t(zzt(e,!0),jWt,FKt));default:throw qw(new $v(b6t+t.ne()+w6t))}},yG(P9t,"XMLTypeFactoryImpl",1919),pLt(586,179,{105:1,92:1,90:1,147:1,191:1,56:1,235:1,108:1,49:1,97:1,150:1,179:1,114:1,115:1,675:1,1945:1,586:1},UK),CKt.N=!1,CKt.O=!1;var KOe,WOe,XOe,VOe,QOe,JOe=!1;yG(P9t,"XMLTypePackageImpl",586),pLt(1852,1,{837:1},Ru),CKt._j=function(){return fjt(),ENe},yG(P9t,"XMLTypePackageImpl/1",1852),pLt(1861,1,l9t,$u),CKt.wj=function(t){return GM(t)},CKt.xj=function(t){return P7(Vee,lWt,2,t,6,1)},yG(P9t,"XMLTypePackageImpl/10",1861),pLt(1862,1,l9t,ju),CKt.wj=function(t){return GM(t)},CKt.xj=function(t){return P7(Vee,lWt,2,t,6,1)},yG(P9t,"XMLTypePackageImpl/11",1862),pLt(1863,1,l9t,zu),CKt.wj=function(t){return GM(t)},CKt.xj=function(t){return P7(Vee,lWt,2,t,6,1)},yG(P9t,"XMLTypePackageImpl/12",1863),pLt(1864,1,l9t,qu),CKt.wj=function(t){return YM(t)},CKt.xj=function(t){return P7(Aee,lWt,333,t,7,1)},yG(P9t,"XMLTypePackageImpl/13",1864),pLt(1865,1,l9t,Hu),CKt.wj=function(t){return GM(t)},CKt.xj=function(t){return P7(Vee,lWt,2,t,6,1)},yG(P9t,"XMLTypePackageImpl/14",1865),pLt(1866,1,l9t,Zu),CKt.wj=function(t){return aO(t,15)},CKt.xj=function(t){return P7(Rte,eJt,15,t,0,1)},yG(P9t,"XMLTypePackageImpl/15",1866),pLt(1867,1,l9t,Uu),CKt.wj=function(t){return aO(t,15)},CKt.xj=function(t){return P7(Rte,eJt,15,t,0,1)},yG(P9t,"XMLTypePackageImpl/16",1867),pLt(1868,1,l9t,Yu),CKt.wj=function(t){return GM(t)},CKt.xj=function(t){return P7(Vee,lWt,2,t,6,1)},yG(P9t,"XMLTypePackageImpl/17",1868),pLt(1869,1,l9t,Gu),CKt.wj=function(t){return aO(t,155)},CKt.xj=function(t){return P7(Mee,lWt,155,t,0,1)},yG(P9t,"XMLTypePackageImpl/18",1869),pLt(1870,1,l9t,Ku),CKt.wj=function(t){return GM(t)},CKt.xj=function(t){return P7(Vee,lWt,2,t,6,1)},yG(P9t,"XMLTypePackageImpl/19",1870),pLt(1853,1,l9t,Wu),CKt.wj=function(t){return 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source!";e.push(i)}})),e},u.prototype.getEdgesBetween=function(t){var e=[],n=this;return n.edges.forEach((function(i){if(i.source!=n&&i.target!=n)throw"Incorrect edge source and/or target";i.target!=t&&i.source!=t||e.push(i)})),e},u.prototype.getNeighborsList=function(){var t=new Set,e=this;return e.edges.forEach((function(n){if(n.source==e)t.add(n.target);else{if(n.target!=e)throw"Incorrect incidency!";t.add(n.source)}})),t},u.prototype.withChildren=function(){var t=new Set;if(t.add(this),null!=this.child)for(var e=this.child.getNodes(),n=0;n<e.length;n++)e[n].withChildren().forEach((function(e){t.add(e)}));return t},u.prototype.getNoOfChildren=function(){var t=0;if(null==this.child)t=1;else for(var e=this.child.getNodes(),n=0;n<e.length;n++)t+=e[n].getNoOfChildren();return 0==t&&(t=1),t},u.prototype.getEstimatedSize=function(){if(this.estimatedSize==r.MIN_VALUE)throw"assert failed";return this.estimatedSize},u.prototype.calcEstimatedSize=function(){return null==this.child?this.estimatedSize=(this.rect.width+this.rect.height)/2:(this.estimatedSize=this.child.calcEstimatedSize(),this.rect.width=this.estimatedSize,this.rect.height=this.estimatedSize,this.estimatedSize)},u.prototype.scatter=function(){var t,e,n=-o.INITIAL_WORLD_BOUNDARY,i=o.INITIAL_WORLD_BOUNDARY;t=o.WORLD_CENTER_X+s.nextDouble()*(i-n)+n;var r=-o.INITIAL_WORLD_BOUNDARY,a=o.INITIAL_WORLD_BOUNDARY;e=o.WORLD_CENTER_Y+s.nextDouble()*(a-r)+r,this.rect.x=t,this.rect.y=e},u.prototype.updateBounds=function(){if(null==this.getChild())throw"assert failed";if(0!=this.getChild().getNodes().length){var t=this.getChild();if(t.updateBounds(!0),this.rect.x=t.getLeft(),this.rect.y=t.getTop(),this.setWidth(t.getRight()-t.getLeft()),this.setHeight(t.getBottom()-t.getTop()),o.NODE_DIMENSIONS_INCLUDE_LABELS){var e=t.getRight()-t.getLeft(),n=t.getBottom()-t.getTop();this.labelWidth>e&&(this.rect.x-=(this.labelWidth-e)/2,this.setWidth(this.labelWidth)),this.labelHeight>n&&("center"==this.labelPos?this.rect.y-=(this.labelHeight-n)/2:"top"==this.labelPos&&(this.rect.y-=this.labelHeight-n),this.setHeight(this.labelHeight))}}},u.prototype.getInclusionTreeDepth=function(){if(this.inclusionTreeDepth==r.MAX_VALUE)throw"assert failed";return this.inclusionTreeDepth},u.prototype.transform=function(t){var e=this.rect.x;e>o.WORLD_BOUNDARY?e=o.WORLD_BOUNDARY:e<-o.WORLD_BOUNDARY&&(e=-o.WORLD_BOUNDARY);var n=this.rect.y;n>o.WORLD_BOUNDARY?n=o.WORLD_BOUNDARY:n<-o.WORLD_BOUNDARY&&(n=-o.WORLD_BOUNDARY);var i=new c(e,n),r=t.inverseTransformPoint(i);this.setLocation(r.x,r.y)},u.prototype.getLeft=function(){return this.rect.x},u.prototype.getRight=function(){return this.rect.x+this.rect.width},u.prototype.getTop=function(){return this.rect.y},u.prototype.getBottom=function(){return this.rect.y+this.rect.height},u.prototype.getParent=function(){return null==this.owner?null:this.owner.getParent()},t.exports=u},function(t,e,n){"use strict";function i(t,e){null==t&&null==e?(this.x=0,this.y=0):(this.x=t,this.y=e)}i.prototype.getX=function(){return this.x},i.prototype.getY=function(){return this.y},i.prototype.setX=function(t){this.x=t},i.prototype.setY=function(t){this.y=t},i.prototype.getDifference=function(t){return new DimensionD(this.x-t.x,this.y-t.y)},i.prototype.getCopy=function(){return new i(this.x,this.y)},i.prototype.translate=function(t){return this.x+=t.width,this.y+=t.height,this},t.exports=i},function(t,e,n){"use strict";var i=n(2),r=n(10),a=n(0),o=n(6),s=n(3),c=n(1),u=n(13),l=n(12),h=n(11);function f(t,e,n){i.call(this,n),this.estimatedSize=r.MIN_VALUE,this.margin=a.DEFAULT_GRAPH_MARGIN,this.edges=[],this.nodes=[],this.isConnected=!1,this.parent=t,null!=e&&e instanceof o?this.graphManager=e:null!=e&&e instanceof Layout&&(this.graphManager=e.graphManager)}for(var d in f.prototype=Object.create(i.prototype),i)f[d]=i[d];f.prototype.getNodes=function(){return this.nodes},f.prototype.getEdges=function(){return this.edges},f.prototype.getGraphManager=function(){return this.graphManager},f.prototype.getParent=function(){return this.parent},f.prototype.getLeft=function(){return this.left},f.prototype.getRight=function(){return this.right},f.prototype.getTop=function(){return this.top},f.prototype.getBottom=function(){return this.bottom},f.prototype.isConnected=function(){return this.isConnected},f.prototype.add=function(t,e,n){if(null==e&&null==n){var i=t;if(null==this.graphManager)throw"Graph has no graph mgr!";if(this.getNodes().indexOf(i)>-1)throw"Node already in graph!";return i.owner=this,this.getNodes().push(i),i}var r=t;if(!(this.getNodes().indexOf(e)>-1&&this.getNodes().indexOf(n)>-1))throw"Source or target not in graph!";if(e.owner!=n.owner||e.owner!=this)throw"Both owners must be this graph!";return e.owner!=n.owner?null:(r.source=e,r.target=n,r.isInterGraph=!1,this.getEdges().push(r),e.edges.push(r),n!=e&&n.edges.push(r),r)},f.prototype.remove=function(t){var e=t;if(t instanceof s){if(null==e)throw"Node is null!";if(null==e.owner||e.owner!=this)throw"Owner graph is invalid!";if(null==this.graphManager)throw"Owner graph manager is invalid!";for(var n=e.edges.slice(),i=n.length,r=0;r<i;r++)(a=n[r]).isInterGraph?this.graphManager.remove(a):a.source.owner.remove(a);if(-1==(o=this.nodes.indexOf(e)))throw"Node not in owner node list!";this.nodes.splice(o,1)}else if(t instanceof c){var a;if(null==(a=t))throw"Edge is null!";if(null==a.source||null==a.target)throw"Source and/or target is null!";if(null==a.source.owner||null==a.target.owner||a.source.owner!=this||a.target.owner!=this)throw"Source and/or target owner is invalid!";var o,u=a.source.edges.indexOf(a),l=a.target.edges.indexOf(a);if(!(u>-1&&l>-1))throw"Source and/or target doesn't know this edge!";if(a.source.edges.splice(u,1),a.target!=a.source&&a.target.edges.splice(l,1),-1==(o=a.source.owner.getEdges().indexOf(a)))throw"Not in owner's edge list!";a.source.owner.getEdges().splice(o,1)}},f.prototype.updateLeftTop=function(){for(var t,e,n,i=r.MAX_VALUE,a=r.MAX_VALUE,o=this.getNodes(),s=o.length,c=0;c<s;c++){var u=o[c];i>(t=u.getTop())&&(i=t),a>(e=u.getLeft())&&(a=e)}return i==r.MAX_VALUE?null:(n=null!=o[0].getParent().paddingLeft?o[0].getParent().paddingLeft:this.margin,this.left=a-n,this.top=i-n,new l(this.left,this.top))},f.prototype.updateBounds=function(t){for(var e,n,i,a,o,s=r.MAX_VALUE,c=-r.MAX_VALUE,l=r.MAX_VALUE,h=-r.MAX_VALUE,f=this.nodes,d=f.length,g=0;g<d;g++){var p=f[g];t&&null!=p.child&&p.updateBounds(),s>(e=p.getLeft())&&(s=e),c<(n=p.getRight())&&(c=n),l>(i=p.getTop())&&(l=i),h<(a=p.getBottom())&&(h=a)}var b=new u(s,l,c-s,h-l);s==r.MAX_VALUE&&(this.left=this.parent.getLeft(),this.right=this.parent.getRight(),this.top=this.parent.getTop(),this.bottom=this.parent.getBottom()),o=null!=f[0].getParent().paddingLeft?f[0].getParent().paddingLeft:this.margin,this.left=b.x-o,this.right=b.x+b.width+o,this.top=b.y-o,this.bottom=b.y+b.height+o},f.calculateBounds=function(t){for(var e,n,i,a,o=r.MAX_VALUE,s=-r.MAX_VALUE,c=r.MAX_VALUE,l=-r.MAX_VALUE,h=t.length,f=0;f<h;f++){var d=t[f];o>(e=d.getLeft())&&(o=e),s<(n=d.getRight())&&(s=n),c>(i=d.getTop())&&(c=i),l<(a=d.getBottom())&&(l=a)}return new u(o,c,s-o,l-c)},f.prototype.getInclusionTreeDepth=function(){return this==this.graphManager.getRoot()?1:this.parent.getInclusionTreeDepth()},f.prototype.getEstimatedSize=function(){if(this.estimatedSize==r.MIN_VALUE)throw"assert failed";return this.estimatedSize},f.prototype.calcEstimatedSize=function(){for(var t=0,e=this.nodes,n=e.length,i=0;i<n;i++)t+=e[i].calcEstimatedSize();return this.estimatedSize=0==t?a.EMPTY_COMPOUND_NODE_SIZE:t/Math.sqrt(this.nodes.length),this.estimatedSize},f.prototype.updateConnected=function(){var t=this;if(0!=this.nodes.length){var e,n,i=new h,r=new Set,a=this.nodes[0];for(a.withChildren().forEach((function(t){i.push(t),r.add(t)}));0!==i.length;)for(var o=(e=(a=i.shift()).getEdges()).length,s=0;s<o;s++)null==(n=e[s].getOtherEndInGraph(a,this))||r.has(n)||n.withChildren().forEach((function(t){i.push(t),r.add(t)}));if(this.isConnected=!1,r.size>=this.nodes.length){var c=0;r.forEach((function(e){e.owner==t&&c++})),c==this.nodes.length&&(this.isConnected=!0)}}else this.isConnected=!0},t.exports=f},function(t,e,n){"use strict";var i,r=n(1);function a(t){i=n(5),this.layout=t,this.graphs=[],this.edges=[]}a.prototype.addRoot=function(){var t=this.layout.newGraph(),e=this.layout.newNode(null),n=this.add(t,e);return this.setRootGraph(n),this.rootGraph},a.prototype.add=function(t,e,n,i,r){if(null==n&&null==i&&null==r){if(null==t)throw"Graph is null!";if(null==e)throw"Parent node is null!";if(this.graphs.indexOf(t)>-1)throw"Graph already in this graph mgr!";if(this.graphs.push(t),null!=t.parent)throw"Already has a parent!";if(null!=e.child)throw"Already has a child!";return t.parent=e,e.child=t,t}r=n,n=t;var a=(i=e).getOwner(),o=r.getOwner();if(null==a||a.getGraphManager()!=this)throw"Source not in this graph mgr!";if(null==o||o.getGraphManager()!=this)throw"Target not in this graph mgr!";if(a==o)return n.isInterGraph=!1,a.add(n,i,r);if(n.isInterGraph=!0,n.source=i,n.target=r,this.edges.indexOf(n)>-1)throw"Edge already in inter-graph edge list!";if(this.edges.push(n),null==n.source||null==n.target)throw"Edge source and/or target is null!";if(-1!=n.source.edges.indexOf(n)||-1!=n.target.edges.indexOf(n))throw"Edge already in source and/or target incidency list!";return n.source.edges.push(n),n.target.edges.push(n),n},a.prototype.remove=function(t){if(t instanceof i){var e=t;if(e.getGraphManager()!=this)throw"Graph not in this graph mgr";if(e!=this.rootGraph&&(null==e.parent||e.parent.graphManager!=this))throw"Invalid parent node!";for(var n,a=[],o=(a=a.concat(e.getEdges())).length,s=0;s<o;s++)n=a[s],e.remove(n);var c,u=[];for(o=(u=u.concat(e.getNodes())).length,s=0;s<o;s++)c=u[s],e.remove(c);e==this.rootGraph&&this.setRootGraph(null);var l=this.graphs.indexOf(e);this.graphs.splice(l,1),e.parent=null}else if(t instanceof r){if(null==(n=t))throw"Edge is null!";if(!n.isInterGraph)throw"Not an inter-graph edge!";if(null==n.source||null==n.target)throw"Source and/or target is null!";if(-1==n.source.edges.indexOf(n)||-1==n.target.edges.indexOf(n))throw"Source and/or target doesn't know this edge!";if(l=n.source.edges.indexOf(n),n.source.edges.splice(l,1),l=n.target.edges.indexOf(n),n.target.edges.splice(l,1),null==n.source.owner||null==n.source.owner.getGraphManager())throw"Edge owner graph or owner graph manager is null!";if(-1==n.source.owner.getGraphManager().edges.indexOf(n))throw"Not in owner graph manager's edge list!";l=n.source.owner.getGraphManager().edges.indexOf(n),n.source.owner.getGraphManager().edges.splice(l,1)}},a.prototype.updateBounds=function(){this.rootGraph.updateBounds(!0)},a.prototype.getGraphs=function(){return this.graphs},a.prototype.getAllNodes=function(){if(null==this.allNodes){for(var t=[],e=this.getGraphs(),n=e.length,i=0;i<n;i++)t=t.concat(e[i].getNodes());this.allNodes=t}return this.allNodes},a.prototype.resetAllNodes=function(){this.allNodes=null},a.prototype.resetAllEdges=function(){this.allEdges=null},a.prototype.resetAllNodesToApplyGravitation=function(){this.allNodesToApplyGravitation=null},a.prototype.getAllEdges=function(){if(null==this.allEdges){for(var t=[],e=this.getGraphs(),n=(e.length,0);n<e.length;n++)t=t.concat(e[n].getEdges());t=t.concat(this.edges),this.allEdges=t}return this.allEdges},a.prototype.getAllNodesToApplyGravitation=function(){return this.allNodesToApplyGravitation},a.prototype.setAllNodesToApplyGravitation=function(t){if(null!=this.allNodesToApplyGravitation)throw"assert failed";this.allNodesToApplyGravitation=t},a.prototype.getRoot=function(){return this.rootGraph},a.prototype.setRootGraph=function(t){if(t.getGraphManager()!=this)throw"Root not in this graph mgr!";this.rootGraph=t,null==t.parent&&(t.parent=this.layout.newNode("Root node"))},a.prototype.getLayout=function(){return this.layout},a.prototype.isOneAncestorOfOther=function(t,e){if(null==t||null==e)throw"assert failed";if(t==e)return!0;for(var n,i=t.getOwner();null!=(n=i.getParent());){if(n==e)return!0;if(null==(i=n.getOwner()))break}for(i=e.getOwner();null!=(n=i.getParent());){if(n==t)return!0;if(null==(i=n.getOwner()))break}return!1},a.prototype.calcLowestCommonAncestors=function(){for(var t,e,n,i,r,a=this.getAllEdges(),o=a.length,s=0;s<o;s++)if(e=(t=a[s]).source,n=t.target,t.lca=null,t.sourceInLca=e,t.targetInLca=n,e!=n){for(i=e.getOwner();null==t.lca;){for(t.targetInLca=n,r=n.getOwner();null==t.lca;){if(r==i){t.lca=r;break}if(r==this.rootGraph)break;if(null!=t.lca)throw"assert failed";t.targetInLca=r.getParent(),r=t.targetInLca.getOwner()}if(i==this.rootGraph)break;null==t.lca&&(t.sourceInLca=i.getParent(),i=t.sourceInLca.getOwner())}if(null==t.lca)throw"assert failed"}else t.lca=e.getOwner()},a.prototype.calcLowestCommonAncestor=function(t,e){if(t==e)return t.getOwner();for(var n=t.getOwner();null!=n;){for(var i=e.getOwner();null!=i;){if(i==n)return i;i=i.getParent().getOwner()}n=n.getParent().getOwner()}return n},a.prototype.calcInclusionTreeDepths=function(t,e){var n;null==t&&null==e&&(t=this.rootGraph,e=1);for(var i=t.getNodes(),r=i.length,a=0;a<r;a++)(n=i[a]).inclusionTreeDepth=e,null!=n.child&&this.calcInclusionTreeDepths(n.child,e+1)},a.prototype.includesInvalidEdge=function(){for(var t,e=this.edges.length,n=0;n<e;n++)if(t=this.edges[n],this.isOneAncestorOfOther(t.source,t.target))return!0;return!1},t.exports=a},function(t,e,n){"use strict";var i=n(0);function r(){}for(var a in i)r[a]=i[a];r.MAX_ITERATIONS=2500,r.DEFAULT_EDGE_LENGTH=50,r.DEFAULT_SPRING_STRENGTH=.45,r.DEFAULT_REPULSION_STRENGTH=4500,r.DEFAULT_GRAVITY_STRENGTH=.4,r.DEFAULT_COMPOUND_GRAVITY_STRENGTH=1,r.DEFAULT_GRAVITY_RANGE_FACTOR=3.8,r.DEFAULT_COMPOUND_GRAVITY_RANGE_FACTOR=1.5,r.DEFAULT_USE_SMART_IDEAL_EDGE_LENGTH_CALCULATION=!0,r.DEFAULT_USE_SMART_REPULSION_RANGE_CALCULATION=!0,r.DEFAULT_COOLING_FACTOR_INCREMENTAL=.3,r.COOLING_ADAPTATION_FACTOR=.33,r.ADAPTATION_LOWER_NODE_LIMIT=1e3,r.ADAPTATION_UPPER_NODE_LIMIT=5e3,r.MAX_NODE_DISPLACEMENT_INCREMENTAL=100,r.MAX_NODE_DISPLACEMENT=3*r.MAX_NODE_DISPLACEMENT_INCREMENTAL,r.MIN_REPULSION_DIST=r.DEFAULT_EDGE_LENGTH/10,r.CONVERGENCE_CHECK_PERIOD=100,r.PER_LEVEL_IDEAL_EDGE_LENGTH_FACTOR=.1,r.MIN_EDGE_LENGTH=1,r.GRID_CALCULATION_CHECK_PERIOD=10,t.exports=r},function(t,e,n){"use strict";var i=n(12);function r(){}r.calcSeparationAmount=function(t,e,n,i){if(!t.intersects(e))throw"assert failed";var r=new Array(2);this.decideDirectionsForOverlappingNodes(t,e,r),n[0]=Math.min(t.getRight(),e.getRight())-Math.max(t.x,e.x),n[1]=Math.min(t.getBottom(),e.getBottom())-Math.max(t.y,e.y),t.getX()<=e.getX()&&t.getRight()>=e.getRight()?n[0]+=Math.min(e.getX()-t.getX(),t.getRight()-e.getRight()):e.getX()<=t.getX()&&e.getRight()>=t.getRight()&&(n[0]+=Math.min(t.getX()-e.getX(),e.getRight()-t.getRight())),t.getY()<=e.getY()&&t.getBottom()>=e.getBottom()?n[1]+=Math.min(e.getY()-t.getY(),t.getBottom()-e.getBottom()):e.getY()<=t.getY()&&e.getBottom()>=t.getBottom()&&(n[1]+=Math.min(t.getY()-e.getY(),e.getBottom()-t.getBottom()));var a=Math.abs((e.getCenterY()-t.getCenterY())/(e.getCenterX()-t.getCenterX()));e.getCenterY()===t.getCenterY()&&e.getCenterX()===t.getCenterX()&&(a=1);var o=a*n[0],s=n[1]/a;n[0]<s?s=n[0]:o=n[1],n[0]=-1*r[0]*(s/2+i),n[1]=-1*r[1]*(o/2+i)},r.decideDirectionsForOverlappingNodes=function(t,e,n){t.getCenterX()<e.getCenterX()?n[0]=-1:n[0]=1,t.getCenterY()<e.getCenterY()?n[1]=-1:n[1]=1},r.getIntersection2=function(t,e,n){var i=t.getCenterX(),r=t.getCenterY(),a=e.getCenterX(),o=e.getCenterY();if(t.intersects(e))return n[0]=i,n[1]=r,n[2]=a,n[3]=o,!0;var s=t.getX(),c=t.getY(),u=t.getRight(),l=t.getX(),h=t.getBottom(),f=t.getRight(),d=t.getWidthHalf(),g=t.getHeightHalf(),p=e.getX(),b=e.getY(),w=e.getRight(),y=e.getX(),m=e.getBottom(),v=e.getRight(),x=e.getWidthHalf(),k=e.getHeightHalf(),_=!1,E=!1;if(i===a){if(r>o)return n[0]=i,n[1]=c,n[2]=a,n[3]=m,!1;if(r<o)return n[0]=i,n[1]=h,n[2]=a,n[3]=b,!1}else if(r===o){if(i>a)return n[0]=s,n[1]=r,n[2]=w,n[3]=o,!1;if(i<a)return n[0]=u,n[1]=r,n[2]=p,n[3]=o,!1}else{var T=t.height/t.width,C=e.height/e.width,S=(o-r)/(a-i),A=void 0,M=void 0,I=void 0,L=void 0,D=void 0,O=void 0;if(-T===S?i>a?(n[0]=l,n[1]=h,_=!0):(n[0]=u,n[1]=c,_=!0):T===S&&(i>a?(n[0]=s,n[1]=c,_=!0):(n[0]=f,n[1]=h,_=!0)),-C===S?a>i?(n[2]=y,n[3]=m,E=!0):(n[2]=w,n[3]=b,E=!0):C===S&&(a>i?(n[2]=p,n[3]=b,E=!0):(n[2]=v,n[3]=m,E=!0)),_&&E)return!1;if(i>a?r>o?(A=this.getCardinalDirection(T,S,4),M=this.getCardinalDirection(C,S,2)):(A=this.getCardinalDirection(-T,S,3),M=this.getCardinalDirection(-C,S,1)):r>o?(A=this.getCardinalDirection(-T,S,1),M=this.getCardinalDirection(-C,S,3)):(A=this.getCardinalDirection(T,S,2),M=this.getCardinalDirection(C,S,4)),!_)switch(A){case 1:L=c,I=i+-g/S,n[0]=I,n[1]=L;break;case 2:I=f,L=r+d*S,n[0]=I,n[1]=L;break;case 3:L=h,I=i+g/S,n[0]=I,n[1]=L;break;case 4:I=l,L=r+-d*S,n[0]=I,n[1]=L}if(!E)switch(M){case 1:O=b,D=a+-k/S,n[2]=D,n[3]=O;break;case 2:D=v,O=o+x*S,n[2]=D,n[3]=O;break;case 3:O=m,D=a+k/S,n[2]=D,n[3]=O;break;case 4:D=y,O=o+-x*S,n[2]=D,n[3]=O}}return!1},r.getCardinalDirection=function(t,e,n){return t>e?n:1+n%4},r.getIntersection=function(t,e,n,r){if(null==r)return this.getIntersection2(t,e,n);var a,o,s,c,u,l,h,f=t.x,d=t.y,g=e.x,p=e.y,b=n.x,w=n.y,y=r.x,m=r.y;return 0==(h=(a=p-d)*(c=b-y)-(o=m-w)*(s=f-g))?null:new i((s*(l=y*w-b*m)-c*(u=g*d-f*p))/h,(o*u-a*l)/h)},r.angleOfVector=function(t,e,n,i){var r=void 0;return t!==n?(r=Math.atan((i-e)/(n-t)),n<t?r+=Math.PI:i<e&&(r+=this.TWO_PI)):r=i<e?this.ONE_AND_HALF_PI:this.HALF_PI,r},r.doIntersect=function(t,e,n,i){var r=t.x,a=t.y,o=e.x,s=e.y,c=n.x,u=n.y,l=i.x,h=i.y,f=(o-r)*(h-u)-(l-c)*(s-a);if(0===f)return!1;var d=((h-u)*(l-r)+(c-l)*(h-a))/f,g=((a-s)*(l-r)+(o-r)*(h-a))/f;return 0<d&&d<1&&0<g&&g<1},r.HALF_PI=.5*Math.PI,r.ONE_AND_HALF_PI=1.5*Math.PI,r.TWO_PI=2*Math.PI,r.THREE_PI=3*Math.PI,t.exports=r},function(t,e,n){"use strict";function i(){}i.sign=function(t){return t>0?1:t<0?-1:0},i.floor=function(t){return t<0?Math.ceil(t):Math.floor(t)},i.ceil=function(t){return t<0?Math.floor(t):Math.ceil(t)},t.exports=i},function(t,e,n){"use strict";function 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t=this.getAllNodes().length;this.incremental?(t>r.ADAPTATION_LOWER_NODE_LIMIT&&(this.coolingFactor=Math.max(this.coolingFactor*r.COOLING_ADAPTATION_FACTOR,this.coolingFactor-(t-r.ADAPTATION_LOWER_NODE_LIMIT)/(r.ADAPTATION_UPPER_NODE_LIMIT-r.ADAPTATION_LOWER_NODE_LIMIT)*this.coolingFactor*(1-r.COOLING_ADAPTATION_FACTOR))),this.maxNodeDisplacement=r.MAX_NODE_DISPLACEMENT_INCREMENTAL):(t>r.ADAPTATION_LOWER_NODE_LIMIT?this.coolingFactor=Math.max(r.COOLING_ADAPTATION_FACTOR,1-(t-r.ADAPTATION_LOWER_NODE_LIMIT)/(r.ADAPTATION_UPPER_NODE_LIMIT-r.ADAPTATION_LOWER_NODE_LIMIT)*(1-r.COOLING_ADAPTATION_FACTOR)):this.coolingFactor=1,this.initialCoolingFactor=this.coolingFactor,this.maxNodeDisplacement=r.MAX_NODE_DISPLACEMENT),this.maxIterations=Math.max(5*this.getAllNodes().length,this.maxIterations),this.totalDisplacementThreshold=this.displacementThresholdPerNode*this.getAllNodes().length,this.repulsionRange=this.calcRepulsionRange()},c.prototype.calcSpringForces=function(){for(var t,e=this.getAllEdges(),n=0;n<e.length;n++)t=e[n],this.calcSpringForce(t,t.idealLength)},c.prototype.calcRepulsionForces=function(){var t,e,n,i,a,o=!(arguments.length>0&&void 0!==arguments[0])||arguments[0],s=arguments.length>1&&void 0!==arguments[1]&&arguments[1],c=this.getAllNodes();if(this.useFRGridVariant)for(this.totalIterations%r.GRID_CALCULATION_CHECK_PERIOD==1&&o&&this.updateGrid(),a=new Set,t=0;t<c.length;t++)n=c[t],this.calculateRepulsionForceOfANode(n,a,o,s),a.add(n);else for(t=0;t<c.length;t++)for(n=c[t],e=t+1;e<c.length;e++)i=c[e],n.getOwner()==i.getOwner()&&this.calcRepulsionForce(n,i)},c.prototype.calcGravitationalForces=function(){for(var t,e=this.getAllNodesToApplyGravitation(),n=0;n<e.length;n++)t=e[n],this.calcGravitationalForce(t)},c.prototype.moveNodes=function(){for(var t=this.getAllNodes(),e=0;e<t.length;e++)t[e].move()},c.prototype.calcSpringForce=function(t,e){var n,i,r,a,o=t.getSource(),s=t.getTarget();if(this.uniformLeafNodeSizes&&null==o.getChild()&&null==s.getChild())t.updateLengthSimple();else if(t.updateLength(),t.isOverlapingSourceAndTarget)return;0!=(n=t.getLength())&&(r=(i=this.springConstant*(n-e))*(t.lengthX/n),a=i*(t.lengthY/n),o.springForceX+=r,o.springForceY+=a,s.springForceX-=r,s.springForceY-=a)},c.prototype.calcRepulsionForce=function(t,e){var n,i,a,c,u,l,h,f=t.getRect(),d=e.getRect(),g=new Array(2),p=new Array(4);if(f.intersects(d)){o.calcSeparationAmount(f,d,g,r.DEFAULT_EDGE_LENGTH/2),l=2*g[0],h=2*g[1];var b=t.noOfChildren*e.noOfChildren/(t.noOfChildren+e.noOfChildren);t.repulsionForceX-=b*l,t.repulsionForceY-=b*h,e.repulsionForceX+=b*l,e.repulsionForceY+=b*h}else this.uniformLeafNodeSizes&&null==t.getChild()&&null==e.getChild()?(n=d.getCenterX()-f.getCenterX(),i=d.getCenterY()-f.getCenterY()):(o.getIntersection(f,d,p),n=p[2]-p[0],i=p[3]-p[1]),Math.abs(n)<r.MIN_REPULSION_DIST&&(n=s.sign(n)*r.MIN_REPULSION_DIST),Math.abs(i)<r.MIN_REPULSION_DIST&&(i=s.sign(i)*r.MIN_REPULSION_DIST),a=n*n+i*i,c=Math.sqrt(a),l=(u=this.repulsionConstant*t.noOfChildren*e.noOfChildren/a)*n/c,h=u*i/c,t.repulsionForceX-=l,t.repulsionForceY-=h,e.repulsionForceX+=l,e.repulsionForceY+=h},c.prototype.calcGravitationalForce=function(t){var e,n,i,r,a,o,s,c;n=((e=t.getOwner()).getRight()+e.getLeft())/2,i=(e.getTop()+e.getBottom())/2,r=t.getCenterX()-n,a=t.getCenterY()-i,o=Math.abs(r)+t.getWidth()/2,s=Math.abs(a)+t.getHeight()/2,t.getOwner()==this.graphManager.getRoot()?(o>(c=e.getEstimatedSize()*this.gravityRangeFactor)||s>c)&&(t.gravitationForceX=-this.gravityConstant*r,t.gravitationForceY=-this.gravityConstant*a):(o>(c=e.getEstimatedSize()*this.compoundGravityRangeFactor)||s>c)&&(t.gravitationForceX=-this.gravityConstant*r*this.compoundGravityConstant,t.gravitationForceY=-this.gravityConstant*a*this.compoundGravityConstant)},c.prototype.isConverged=function(){var t,e=!1;return this.totalIterations>this.maxIterations/3&&(e=Math.abs(this.totalDisplacement-this.oldTotalDisplacement)<2),t=this.totalDisplacement<this.totalDisplacementThreshold,this.oldTotalDisplacement=this.totalDisplacement,t||e},c.prototype.animate=function(){this.animationDuringLayout&&!this.isSubLayout&&(this.notAnimatedIterations==this.animationPeriod?(this.update(),this.notAnimatedIterations=0):this.notAnimatedIterations++)},c.prototype.calcNoOfChildrenForAllNodes=function(){for(var t,e=this.graphManager.getAllNodes(),n=0;n<e.length;n++)(t=e[n]).noOfChildren=t.getNoOfChildren()},c.prototype.calcGrid=function(t){var e,n;e=parseInt(Math.ceil((t.getRight()-t.getLeft())/this.repulsionRange)),n=parseInt(Math.ceil((t.getBottom()-t.getTop())/this.repulsionRange));for(var i=new Array(e),r=0;r<e;r++)i[r]=new Array(n);for(r=0;r<e;r++)for(var a=0;a<n;a++)i[r][a]=new Array;return i},c.prototype.addNodeToGrid=function(t,e,n){var i,r,a,o;i=parseInt(Math.floor((t.getRect().x-e)/this.repulsionRange)),r=parseInt(Math.floor((t.getRect().width+t.getRect().x-e)/this.repulsionRange)),a=parseInt(Math.floor((t.getRect().y-n)/this.repulsionRange)),o=parseInt(Math.floor((t.getRect().height+t.getRect().y-n)/this.repulsionRange));for(var s=i;s<=r;s++)for(var c=a;c<=o;c++)this.grid[s][c].push(t),t.setGridCoordinates(i,r,a,o)},c.prototype.updateGrid=function(){var t,e,n=this.getAllNodes();for(this.grid=this.calcGrid(this.graphManager.getRoot()),t=0;t<n.length;t++)e=n[t],this.addNodeToGrid(e,this.graphManager.getRoot().getLeft(),this.graphManager.getRoot().getTop())},c.prototype.calculateRepulsionForceOfANode=function(t,e,n,i){if(this.totalIterations%r.GRID_CALCULATION_CHECK_PERIOD==1&&n||i){var a,o=new Set;t.surrounding=new Array;for(var s=this.grid,c=t.startX-1;c<t.finishX+2;c++)for(var u=t.startY-1;u<t.finishY+2;u++)if(!(c<0||u<0||c>=s.length||u>=s[0].length))for(var l=0;l<s[c][u].length;l++)if(a=s[c][u][l],t.getOwner()==a.getOwner()&&t!=a&&!e.has(a)&&!o.has(a)){var h=Math.abs(t.getCenterX()-a.getCenterX())-(t.getWidth()/2+a.getWidth()/2),f=Math.abs(t.getCenterY()-a.getCenterY())-(t.getHeight()/2+a.getHeight()/2);h<=this.repulsionRange&&f<=this.repulsionRange&&o.add(a)}t.surrounding=[].concat(function(t){if(Array.isArray(t)){for(var e=0,n=Array(t.length);e<t.length;e++)n[e]=t[e];return n}return Array.from(t)}(o))}for(c=0;c<t.surrounding.length;c++)this.calcRepulsionForce(t,t.surrounding[c])},c.prototype.calcRepulsionRange=function(){return 0},t.exports=c},function(t,e,n){"use strict";var i=n(1),r=n(7);function a(t,e,n){i.call(this,t,e,n),this.idealLength=r.DEFAULT_EDGE_LENGTH}for(var o in a.prototype=Object.create(i.prototype),i)a[o]=i[o];t.exports=a},function(t,e,n){"use strict";var i=n(3);function r(t,e,n,r){i.call(this,t,e,n,r),this.springForceX=0,this.springForceY=0,this.repulsionForceX=0,this.repulsionForceY=0,this.gravitationForceX=0,this.gravitationForceY=0,this.displacementX=0,this.displacementY=0,this.startX=0,this.finishX=0,this.startY=0,this.finishY=0,this.surrounding=[]}for(var a in r.prototype=Object.create(i.prototype),i)r[a]=i[a];r.prototype.setGridCoordinates=function(t,e,n,i){this.startX=t,this.finishX=e,this.startY=n,this.finishY=i},t.exports=r},function(t,e,n){"use strict";function i(t,e){this.width=0,this.height=0,null!==t&&null!==e&&(this.height=e,this.width=t)}i.prototype.getWidth=function(){return this.width},i.prototype.setWidth=function(t){this.width=t},i.prototype.getHeight=function(){return this.height},i.prototype.setHeight=function(t){this.height=t},t.exports=i},function(t,e,n){"use strict";var i=n(14);function r(){this.map={},this.keys=[]}r.prototype.put=function(t,e){var 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instanceof r?t.get_object_at(e):t[e]}},{key:"_set",value:function(t,e,n){t instanceof r?t.set_object_at(e,n):t[e]=n}},{key:"_swap",value:function(t,e,n){var i=this._get(t,e);this._set(t,e,this._get(t,n)),this._set(t,n,i)}},{key:"_defaultCompareFunction",value:function(t,e){return e>t}}]),t}();t.exports=a},function(t,e,n){"use strict";var i=function(){function t(t,e){for(var n=0;n<e.length;n++){var i=e[n];i.enumerable=i.enumerable||!1,i.configurable=!0,"value"in i&&(i.writable=!0),Object.defineProperty(t,i.key,i)}}return function(e,n,i){return n&&t(e.prototype,n),i&&t(e,i),e}}();function r(t,e){if(!(t instanceof e))throw new TypeError("Cannot call a class as a function")}var a=function(){function t(e,n){var i=arguments.length>2&&void 0!==arguments[2]?arguments[2]:1,a=arguments.length>3&&void 0!==arguments[3]?arguments[3]:-1,o=arguments.length>4&&void 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83:this.$=""}},table:[{3:1,4:2,5:3,6:4,7:e,8:n,9:i,10:r,11:5,12:10,18:a,22:o,25:s,26:u,27:l,28:h},{1:[3]},{1:[2,1]},{1:[2,2]},{3:17,4:2,5:3,6:4,7:e,8:n,9:i,10:r,11:5,12:10,18:a,22:o,25:s,26:u,27:l,28:h},{1:[2,8]},{1:[2,4]},{1:[2,5]},{1:[2,6]},{1:[2,7]},{13:18,19:[1,19]},{15:[1,20]},{15:[1,21]},{15:[1,22]},{15:[1,23]},{15:[1,24]},{19:[2,11]},{1:[2,3]},{14:25,16:[1,26],21:f},t([16,21],[2,12]),{23:28,29:29,30:30,31:31,32:d,33:g,34:p,36:b,38:w,39:58,40:70,42:71,44:y,46:m,47:v,48:x,49:k,50:_,51:E,53:32,54:T,55:C,56:S,57:A,58:M,59:I,60:L,61:D,62:O,63:N,64:P,65:B,66:F,67:R,68:$,69:j,70:z,71:q,72:H,73:Z,74:U,75:Y,76:G,77:K,78:W,79:X,80:V,81:Q,82:J,83:tt,84:et},{23:79,29:29,30:30,31:31,32:d,33:g,34:p,36:b,38:w,39:58,40:70,42:71,44:y,46:m,47:v,48:x,49:k,50:_,51:E,53:32,54:T,55:C,56:S,57:A,58:M,59:I,60:L,61:D,62:O,63:N,64:P,65:B,66:F,67:R,68:$,69:j,70:z,71:q,72:H,73:Z,74:U,75:Y,76:G,77:K,78:W,79:X,80:V,81:Q,82:J,83:tt,84:et},{23:80,29:29,30:30,31:31,32:d,33:g,34:p,36:b,38:w,39:58,40:70,42:71,44:y,46:m,47:v,48:x,49:k,50:_,51:E,53:32,54:T,55:C,56:S,57:A,58:M,59:I,60:L,61:D,62:O,63:N,64:P,65:B,66:F,67:R,68:$,69:j,70:z,71:q,72:H,73:Z,74:U,75:Y,76:G,77:K,78:W,79:X,80:V,81:Q,82:J,83:tt,84:et},{23:81,29:29,30:30,31:31,32:d,33:g,34:p,36:b,38:w,39:58,40:70,42:71,44:y,46:m,47:v,48:x,49:k,50:_,51:E,53:32,54:T,55:C,56:S,57:A,58:M,59:I,60:L,61:D,62:O,63:N,64:P,65:B,66:F,67:R,68:$,69:j,70:z,71:q,72:H,73:Z,74:U,75:Y,76:G,77:K,78:W,79:X,80:V,81:Q,82:J,83:tt,84:et},{23:82,29:29,30:30,31:31,32:d,33:g,34:p,36:b,38:w,39:58,40:70,42:71,44:y,46:m,47:v,48:x,49:k,50:_,51:E,53:32,54:T,55:C,56:S,57:A,58:M,59:I,60:L,61:D,62:O,63:N,64:P,65:B,66:F,67:R,68:$,69:j,70:z,71:q,72:H,73:Z,74:U,75:Y,76:G,77:K,78:W,79:X,80:V,81:Q,82:J,83:tt,84:et},{15:[1,83]},{17:84,20:[1,85]},{15:[2,14]},{24:[1,86]},t(nt,[2,20],{53:32,39:58,40:70,42:71,30:87,44:y,46:m,47:v,48:x,49:k,50:_,51:E,54:T,55:C,56:S,57:A,58:M,59:I,60:L,61:D,62:O,63:N,64:P,65:B,66:F,67:R,68:$,69:j,70:z,71:q,72:H,73:Z,74:U,75:Y,76:G,77:K,78:W,79:X,80:V,81:Q,82:J,83:tt,84:et}),t(nt,[2,21]),t(it,[2,23],{15:[1,88]}),t(nt,[2,43],{15:[1,89]}),t(rt,[2,26]),t(rt,[2,27]),{35:[1,90]},{37:[1,91]},t(rt,[2,30]),{45:92,85:93,86:at,87:ot,89:st,90:ct},{45:98,85:93,86:at,87:ot,89:st,90:ct},{45:99,85:93,86:at,87:ot,89:st,90:ct},{45:100,85:93,86:at,87:ot,89:st,90:ct},{45:101,85:93,86:at,87:ot,89:st,90:ct},{45:102,85:93,86:at,87:ot,89:st,90:ct},{45:103,85:93,86:at,87:ot,89:st,90:ct},{45:104,85:93,86:at,87:ot,89:st,90:ct},{45:105,85:93,86:at,87:ot,89:st,90:ct},{45:106,85:93,86:at,87:ot,89:st,90:ct},{45:107,85:93,86:at,87:ot,89:st,90:ct},{45:108,85:93,86:at,87:ot,89:st,90:ct},{45:109,85:93,86:at,87:ot,89:st,90:ct},{45:110,85:93,86:at,87:ot,89:st,90:ct},{45:111,85:93,86:at,87:ot,89:st,90:ct},{45:112,85:93,86:at,87:ot,89:st,90:ct},{45:113,85:93,86:at,87:ot,89:st,90:ct},{45:114,85:93,86:at,87:ot,89:st,90:ct},{45:115,85:93,86:at,87:ot,89:st,90:ct},{45:116,85:93,86:at,87:ot,89:st,90:ct},t(ut,[2,66]),{45:117,85:93,86:at,87:ot,89:st,90:ct},{45:118,85:93,86:at,87:ot,89:st,90:ct},{45:119,85:93,86:at,87:ot,89:st,90:ct},{45:120,85:93,86:at,87:ot,89:st,90:ct},{45:121,85:93,86:at,87:ot,89:st,90:ct},{45:122,85:93,86:at,87:ot,89:st,90:ct},{45:123,85:93,86:at,87:ot,89:st,90:ct},{45:124,85:93,86:at,87:ot,89:st,90:ct},{45:125,85:93,86:at,87:ot,89:st,90:ct},{45:126,85:93,86:at,87:ot,89:st,90:ct},{45:127,85:93,86:at,87:ot,89:st,90:ct},{30:128,39:58,40:70,42:71,44:y,46:m,47:v,48:x,49:k,50:_,51:E,53:32,54:T,55:C,56:S,57:A,58:M,59:I,60:L,61:D,62:O,63:N,64:P,65:B,66:F,67:R,68:$,69:j,70:z,71:q,72:H,73:Z,74:U,75:Y,76:G,77:K,78:W,79:X,80:V,81:Q,82:J,83:tt,84:et},{15:[1,130],43:[1,129]},{45:131,85:93,86:at,87:ot,89:st,90:ct},{45:132,85:93,86:at,87:ot,89:st,90:ct},{45:133,85:93,86:at,87:ot,89:st,90:ct},{45:134,85:93,86:at,87:ot,89:st,90:ct},{45:135,85:93,86:at,87:ot,89:st,90:ct},{45:136,85:93,86:at,87:ot,89:st,90:ct},{45:137,85:93,86:at,87:ot,89:st,90:ct},{24:[1,138]},{24:[1,139]},{24:[1,140]},{24:[1,141]},t(lt,[2,9]),{14:142,21:f},{21:[2,13]},{1:[2,15]},t(nt,[2,22]),t(it,[2,24],{31:31,29:143,32:d,33:g,34:p,36:b,38:w}),t(nt,[2,44],{29:29,30:30,31:31,53:32,39:58,40:70,42:71,23:144,32:d,33:g,34:p,36:b,38:w,44:y,46:m,47:v,48:x,49:k,50:_,51:E,54:T,55:C,56:S,57:A,58:M,59:I,60:L,61:D,62:O,63:N,64:P,65:B,66:F,67:R,68:$,69:j,70:z,71:q,72:H,73:Z,74:U,75:Y,76:G,77:K,78:W,79:X,80:V,81:Q,82:J,83:tt,84:et}),t(rt,[2,28]),t(rt,[2,29]),t(ut,[2,46]),t(ht,[2,78],{85:93,45:145,86:at,87:ot,89:st,90:ct}),t(ft,[2,80]),{88:[1,146]},t(ft,[2,82]),t(ft,[2,83]),t(ut,[2,47]),t(ut,[2,48]),t(ut,[2,49]),t(ut,[2,50]),t(ut,[2,51]),t(ut,[2,52]),t(ut,[2,53]),t(ut,[2,54]),t(ut,[2,55]),t(ut,[2,56]),t(ut,[2,57]),t(ut,[2,58]),t(ut,[2,59]),t(ut,[2,60]),t(ut,[2,61]),t(ut,[2,62]),t(ut,[2,63]),t(ut,[2,64]),t(ut,[2,65]),t(ut,[2,67]),t(ut,[2,68]),t(ut,[2,69]),t(ut,[2,70]),t(ut,[2,71]),t(ut,[2,72]),t(ut,[2,73]),t(ut,[2,74]),t(ut,[2,75]),t(ut,[2,76]),t(ut,[2,77]),{41:147,52:[1,148]},{15:[1,149]},{43:[1,150]},t(dt,[2,35]),t(dt,[2,36]),t(dt,[2,37]),t(dt,[2,38]),t(dt,[2,39]),t(dt,[2,40]),t(dt,[2,41]),{1:[2,16]},{1:[2,17]},{1:[2,18]},{1:[2,19]},{15:[1,151]},t(it,[2,25]),t(nt,[2,45]),t(ht,[2,79]),t(ft,[2,81]),t(ut,[2,31]),t(ut,[2,42]),t(gt,[2,32]),t(gt,[2,33],{15:[1,152]}),t(lt,[2,10]),t(gt,[2,34])],defaultActions:{2:[2,1],3:[2,2],5:[2,8],6:[2,4],7:[2,5],8:[2,6],9:[2,7],16:[2,11],17:[2,3],27:[2,14],85:[2,13],86:[2,15],138:[2,16],139:[2,17],140:[2,18],141:[2,19]},parseError:function(t,e){if(!e.recoverable){var n=new Error(t);throw n.hash=e,n}this.trace(t)},parse:function(t){var e=this,n=[0],i=[],r=[null],a=[],o=this.table,s="",c=0,u=0,l=2,h=1,f=a.slice.call(arguments,1),d=Object.create(this.lexer),g={yy:{}};for(var p in this.yy)Object.prototype.hasOwnProperty.call(this.yy,p)&&(g.yy[p]=this.yy[p]);d.setInput(t,g.yy),g.yy.lexer=d,g.yy.parser=this,void 0===d.yylloc&&(d.yylloc={});var b=d.yylloc;a.push(b);var w=d.options&&d.options.ranges;function y(){var t;return"number"!=typeof(t=i.pop()||d.lex()||h)&&(t instanceof Array&&(t=(i=t).pop()),t=e.symbols_[t]||t),t}"function"==typeof g.yy.parseError?this.parseError=g.yy.parseError:this.parseError=Object.getPrototypeOf(this).parseError;for(var m,v,x,k,_,E,T,C,S={};;){if(v=n[n.length-1],this.defaultActions[v]?x=this.defaultActions[v]:(null==m&&(m=y()),x=o[v]&&o[v][m]),void 0===x||!x.length||!x[0]){var A="";for(_ in C=[],o[v])this.terminals_[_]&&_>l&&C.push("'"+this.terminals_[_]+"'");A=d.showPosition?"Parse error on line "+(c+1)+":\n"+d.showPosition()+"\nExpecting "+C.join(", ")+", got '"+(this.terminals_[m]||m)+"'":"Parse error on line "+(c+1)+": Unexpected "+(m==h?"end of input":"'"+(this.terminals_[m]||m)+"'"),this.parseError(A,{text:d.match,token:this.terminals_[m]||m,line:d.yylineno,loc:b,expected:C})}if(x[0]instanceof Array&&x.length>1)throw new Error("Parse Error: multiple actions possible at state: "+v+", token: "+m);switch(x[0]){case 1:n.push(m),r.push(d.yytext),a.push(d.yylloc),n.push(x[1]),m=null,u=d.yyleng,s=d.yytext,c=d.yylineno,b=d.yylloc;break;case 2:if(E=this.productions_[x[1]][1],S.$=r[r.length-E],S._$={first_line:a[a.length-(E||1)].first_line,last_line:a[a.length-1].last_line,first_column:a[a.length-(E||1)].first_column,last_column:a[a.length-1].last_column},w&&(S._$.range=[a[a.length-(E||1)].range[0],a[a.length-1].range[1]]),void 0!==(k=this.performAction.apply(S,[s,u,c,g.yy,x[1],r,a].concat(f))))return k;E&&(n=n.slice(0,-1*E*2),r=r.slice(0,-1*E),a=a.slice(0,-1*E)),n.push(this.productions_[x[1]][0]),r.push(S.$),a.push(S._$),T=o[n[n.length-2]][n[n.length-1]],n.push(T);break;case 3:return!0}}return!0}},bt={EOF:1,parseError:function(t,e){if(!this.yy.parser)throw new Error(t);this.yy.parser.parseError(t,e)},setInput:function(t,e){return this.yy=e||this.yy||{},this._input=t,this._more=this._backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match="",this.conditionStack=["INITIAL"],this.yylloc={first_line:1,first_column:0,last_line:1,last_column:0},this.options.ranges&&(this.yylloc.range=[0,0]),this.offset=0,this},input:function(){var t=this._input[0];return this.yytext+=t,this.yyleng++,this.offset++,this.match+=t,this.matched+=t,t.match(/(?:\r\n?|\n).*/g)?(this.yylineno++,this.yylloc.last_line++):this.yylloc.last_column++,this.options.ranges&&this.yylloc.range[1]++,this._input=this._input.slice(1),t},unput:function(t){var e=t.length,n=t.split(/(?:\r\n?|\n)/g);this._input=t+this._input,this.yytext=this.yytext.substr(0,this.yytext.length-e),this.offset-=e;var i=this.match.split(/(?:\r\n?|\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),n.length-1&&(this.yylineno-=n.length-1);var r=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:n?(n.length===i.length?this.yylloc.first_column:0)+i[i.length-n.length].length-n[0].length:this.yylloc.first_column-e},this.options.ranges&&(this.yylloc.range=[r[0],r[0]+this.yyleng-e]),this.yyleng=this.yytext.length,this},more:function(){return this._more=!0,this},reject:function(){return this.options.backtrack_lexer?(this._backtrack=!0,this):this.parseError("Lexical error on line "+(this.yylineno+1)+". You can only invoke reject() in the lexer when the lexer is of the backtracking persuasion (options.backtrack_lexer = true).\n"+this.showPosition(),{text:"",token:null,line:this.yylineno})},less:function(t){this.unput(this.match.slice(t))},pastInput:function(){var t=this.matched.substr(0,this.matched.length-this.match.length);return(t.length>20?"...":"")+t.substr(-20).replace(/\n/g,"")},upcomingInput:function(){var t=this.match;return t.length<20&&(t+=this._input.substr(0,20-t.length)),(t.substr(0,20)+(t.length>20?"...":"")).replace(/\n/g,"")},showPosition:function(){var t=this.pastInput(),e=new Array(t.length+1).join("-");return t+this.upcomingInput()+"\n"+e+"^"},test_match:function(t,e){var n,i,r;if(this.options.backtrack_lexer&&(r={yylineno:this.yylineno,yylloc:{first_line:this.yylloc.first_line,last_line:this.last_line,first_column:this.yylloc.first_column,last_column:this.yylloc.last_column},yytext:this.yytext,match:this.match,matches:this.matches,matched:this.matched,yyleng:this.yyleng,offset:this.offset,_more:this._more,_input:this._input,yy:this.yy,conditionStack:this.conditionStack.slice(0),done:this.done},this.options.ranges&&(r.yylloc.range=this.yylloc.range.slice(0))),(i=t[0].match(/(?:\r\n?|\n).*/g))&&(this.yylineno+=i.length),this.yylloc={first_line:this.yylloc.last_line,last_line:this.yylineno+1,first_column:this.yylloc.last_column,last_column:i?i[i.length-1].length-i[i.length-1].match(/\r?\n?/)[0].length:this.yylloc.last_column+t[0].length},this.yytext+=t[0],this.match+=t[0],this.matches=t,this.yyleng=this.yytext.length,this.options.ranges&&(this.yylloc.range=[this.offset,this.offset+=this.yyleng]),this._more=!1,this._backtrack=!1,this._input=this._input.slice(t[0].length),this.matched+=t[0],n=this.performAction.call(this,this.yy,this,e,this.conditionStack[this.conditionStack.length-1]),this.done&&this._input&&(this.done=!1),n)return n;if(this._backtrack){for(var a in r)this[a]=r[a];return!1}return!1},next:function(){if(this.done)return this.EOF;var t,e,n,i;this._input||(this.done=!0),this._more||(this.yytext="",this.match="");for(var r=this._currentRules(),a=0;a<r.length;a++)if((n=this._input.match(this.rules[r[a]]))&&(!e||n[0].length>e[0].length)){if(e=n,i=a,this.options.backtrack_lexer){if(!1!==(t=this.test_match(n,r[a])))return t;if(this._backtrack){e=!1;continue}return!1}if(!this.options.flex)break}return e?!1!==(t=this.test_match(e,r[i]))&&t:""===this._input?this.EOF:this.parseError("Lexical error on line "+(this.yylineno+1)+". Unrecognized text.\n"+this.showPosition(),{text:"",token:null,line:this.yylineno})},lex:function(){var t=this.next();return t||this.lex()},begin:function(t){this.conditionStack.push(t)},popState:function(){return this.conditionStack.length-1>0?this.conditionStack.pop():this.conditionStack[0]},_currentRules:function(){return this.conditionStack.length&&this.conditionStack[this.conditionStack.length-1]?this.conditions[this.conditionStack[this.conditionStack.length-1]].rules:this.conditions.INITIAL.rules},topState:function(t){return(t=this.conditionStack.length-1-Math.abs(t||0))>=0?this.conditionStack[t]:"INITIAL"},pushState:function(t){this.begin(t)},stateStackSize:function(){return this.conditionStack.length},options:{},performAction:function(t,e,n,i){switch(n){case 0:return this.begin("open_directive"),18;case 1:return 7;case 2:return 8;case 3:return 9;case 4:return 10;case 5:return this.begin("type_directive"),19;case 6:return this.popState(),this.begin("arg_directive"),16;case 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n},e=[1,2],n=[1,5],i=[6,9,11,23,25,27,29,30,31,52],r=[1,17],a=[1,18],o=[1,19],s=[1,20],c=[1,21],u=[1,22],l=[1,25],h=[1,30],f=[1,31],d=[1,32],g=[1,33],p=[1,34],b=[6,9,11,15,20,23,25,27,29,30,31,44,45,46,47,48,52],w=[1,46],y=[30,31,49,50],m=[4,6,9,11,23,25,27,29,30,31,52],v=[44,45,46,47,48],x=[22,37],k=[1,66],_=[1,65],E=[22,37,39,41],T={trace:function(){},yy:{},symbols_:{error:2,start:3,ER_DIAGRAM:4,document:5,EOF:6,directive:7,line:8,SPACE:9,statement:10,NEWLINE:11,openDirective:12,typeDirective:13,closeDirective:14,":":15,argDirective:16,entityName:17,relSpec:18,role:19,BLOCK_START:20,attributes:21,BLOCK_STOP:22,title:23,title_value:24,acc_title:25,acc_title_value:26,acc_descr:27,acc_descr_value:28,acc_descr_multiline_value:29,ALPHANUM:30,ENTITY_NAME:31,attribute:32,attributeType:33,attributeName:34,attributeKeyTypeList:35,attributeComment:36,ATTRIBUTE_WORD:37,attributeKeyType:38,COMMA:39,ATTRIBUTE_KEY:40,COMMENT:41,cardinality:42,relType:43,ZERO_OR_ONE:44,ZERO_OR_MORE:45,ONE_OR_MORE:46,ONLY_ONE:47,MD_PARENT:48,NON_IDENTIFYING:49,IDENTIFYING:50,WORD:51,open_directive:52,type_directive:53,arg_directive:54,close_directive:55,$accept:0,$end:1},terminals_:{2:"error",4:"ER_DIAGRAM",6:"EOF",9:"SPACE",11:"NEWLINE",15:":",20:"BLOCK_START",22:"BLOCK_STOP",23:"title",24:"title_value",25:"acc_title",26:"acc_title_value",27:"acc_descr",28:"acc_descr_value",29:"acc_descr_multiline_value",30:"ALPHANUM",31:"ENTITY_NAME",37:"ATTRIBUTE_WORD",39:"COMMA",40:"ATTRIBUTE_KEY",41:"COMMENT",44:"ZERO_OR_ONE",45:"ZERO_OR_MORE",46:"ONE_OR_MORE",47:"ONLY_ONE",48:"MD_PARENT",49:"NON_IDENTIFYING",50:"IDENTIFYING",51:"WORD",52:"open_directive",53:"type_directive",54:"arg_directive",55:"close_directive"},productions_:[0,[3,3],[3,2],[5,0],[5,2],[8,2],[8,1],[8,1],[8,1],[7,4],[7,6],[10,1],[10,5],[10,4],[10,3],[10,1],[10,2],[10,2],[10,2],[10,1],[17,1],[17,1],[21,1],[21,2],[32,2],[32,3],[32,3],[32,4],[33,1],[34,1],[35,1],[35,3],[38,1],[36,1],[18,3],[42,1],[42,1],[42,1],[42,1],[42,1],[43,1],[43,1],[19,1],[19,1],[19,1],[12,1],[13,1],[16,1],[14,1]],performAction:function(t,e,n,i,r,a,o){var s=a.length-1;switch(r){case 1:break;case 3:case 7:case 8:this.$=[];break;case 4:a[s-1].push(a[s]),this.$=a[s-1];break;case 5:case 6:case 20:case 44:case 28:case 29:case 32:this.$=a[s];break;case 12:i.addEntity(a[s-4]),i.addEntity(a[s-2]),i.addRelationship(a[s-4],a[s],a[s-2],a[s-3]);break;case 13:i.addEntity(a[s-3]),i.addAttributes(a[s-3],a[s-1]);break;case 14:i.addEntity(a[s-2]);break;case 15:i.addEntity(a[s]);break;case 16:case 17:this.$=a[s].trim(),i.setAccTitle(this.$);break;case 18:case 19:this.$=a[s].trim(),i.setAccDescription(this.$);break;case 21:case 42:case 43:case 33:this.$=a[s].replace(/"/g,"");break;case 22:case 30:this.$=[a[s]];break;case 23:a[s].push(a[s-1]),this.$=a[s];break;case 24:this.$={attributeType:a[s-1],attributeName:a[s]};break;case 25:this.$={attributeType:a[s-2],attributeName:a[s-1],attributeKeyTypeList:a[s]};break;case 26:this.$={attributeType:a[s-2],attributeName:a[s-1],attributeComment:a[s]};break;case 27:this.$={attributeType:a[s-3],attributeName:a[s-2],attributeKeyTypeList:a[s-1],attributeComment:a[s]};break;case 31:a[s-2].push(a[s]),this.$=a[s-2];break;case 34:this.$={cardA:a[s],relType:a[s-1],cardB:a[s-2]};break;case 35:this.$=i.Cardinality.ZERO_OR_ONE;break;case 36:this.$=i.Cardinality.ZERO_OR_MORE;break;case 37:this.$=i.Cardinality.ONE_OR_MORE;break;case 38:this.$=i.Cardinality.ONLY_ONE;break;case 39:this.$=i.Cardinality.MD_PARENT;break;case 40:this.$=i.Identification.NON_IDENTIFYING;break;case 41:this.$=i.Identification.IDENTIFYING;break;case 45:i.parseDirective("%%{","open_directive");break;case 46:i.parseDirective(a[s],"type_directive");break;case 47:a[s]=a[s].trim().replace(/'/g,'"'),i.parseDirective(a[s],"arg_directive");break;case 48:i.parseDirective("}%%","close_directive","er")}},table:[{3:1,4:e,7:3,12:4,52:n},{1:[3]},t(i,[2,3],{5:6}),{3:7,4:e,7:3,12:4,52:n},{13:8,53:[1,9]},{53:[2,45]},{6:[1,10],7:15,8:11,9:[1,12],10:13,11:[1,14],12:4,17:16,23:r,25:a,27:o,29:s,30:c,31:u,52:n},{1:[2,2]},{14:23,15:[1,24],55:l},t([15,55],[2,46]),t(i,[2,8],{1:[2,1]}),t(i,[2,4]),{7:15,10:26,12:4,17:16,23:r,25:a,27:o,29:s,30:c,31:u,52:n},t(i,[2,6]),t(i,[2,7]),t(i,[2,11]),t(i,[2,15],{18:27,42:29,20:[1,28],44:h,45:f,46:d,47:g,48:p}),{24:[1,35]},{26:[1,36]},{28:[1,37]},t(i,[2,19]),t(b,[2,20]),t(b,[2,21]),{11:[1,38]},{16:39,54:[1,40]},{11:[2,48]},t(i,[2,5]),{17:41,30:c,31:u},{21:42,22:[1,43],32:44,33:45,37:w},{43:47,49:[1,48],50:[1,49]},t(y,[2,35]),t(y,[2,36]),t(y,[2,37]),t(y,[2,38]),t(y,[2,39]),t(i,[2,16]),t(i,[2,17]),t(i,[2,18]),t(m,[2,9]),{14:50,55:l},{55:[2,47]},{15:[1,51]},{22:[1,52]},t(i,[2,14]),{21:53,22:[2,22],32:44,33:45,37:w},{34:54,37:[1,55]},{37:[2,28]},{42:56,44:h,45:f,46:d,47:g,48:p},t(v,[2,40]),t(v,[2,41]),{11:[1,57]},{19:58,30:[1,61],31:[1,60],51:[1,59]},t(i,[2,13]),{22:[2,23]},t(x,[2,24],{35:62,36:63,38:64,40:k,41:_}),t([22,37,40,41],[2,29]),t([30,31],[2,34]),t(m,[2,10]),t(i,[2,12]),t(i,[2,42]),t(i,[2,43]),t(i,[2,44]),t(x,[2,25],{36:67,39:[1,68],41:_}),t(x,[2,26]),t(E,[2,30]),t(x,[2,33]),t(E,[2,32]),t(x,[2,27]),{38:69,40:k},t(E,[2,31])],defaultActions:{5:[2,45],7:[2,2],25:[2,48],40:[2,47],46:[2,28],53:[2,23]},parseError:function(t,e){if(!e.recoverable){var n=new Error(t);throw n.hash=e,n}this.trace(t)},parse:function(t){var e=this,n=[0],i=[],r=[null],a=[],o=this.table,s="",c=0,u=0,l=2,h=1,f=a.slice.call(arguments,1),d=Object.create(this.lexer),g={yy:{}};for(var p in this.yy)Object.prototype.hasOwnProperty.call(this.yy,p)&&(g.yy[p]=this.yy[p]);d.setInput(t,g.yy),g.yy.lexer=d,g.yy.parser=this,void 0===d.yylloc&&(d.yylloc={});var b=d.yylloc;a.push(b);var w=d.options&&d.options.ranges;function y(){var t;return"number"!=typeof(t=i.pop()||d.lex()||h)&&(t instanceof Array&&(t=(i=t).pop()),t=e.symbols_[t]||t),t}"function"==typeof g.yy.parseError?this.parseError=g.yy.parseError:this.parseError=Object.getPrototypeOf(this).parseError;for(var m,v,x,k,_,E,T,C,S={};;){if(v=n[n.length-1],this.defaultActions[v]?x=this.defaultActions[v]:(null==m&&(m=y()),x=o[v]&&o[v][m]),void 0===x||!x.length||!x[0]){var A="";for(_ in C=[],o[v])this.terminals_[_]&&_>l&&C.push("'"+this.terminals_[_]+"'");A=d.showPosition?"Parse error on line "+(c+1)+":\n"+d.showPosition()+"\nExpecting "+C.join(", ")+", got '"+(this.terminals_[m]||m)+"'":"Parse error on line "+(c+1)+": Unexpected "+(m==h?"end of input":"'"+(this.terminals_[m]||m)+"'"),this.parseError(A,{text:d.match,token:this.terminals_[m]||m,line:d.yylineno,loc:b,expected:C})}if(x[0]instanceof Array&&x.length>1)throw new Error("Parse Error: multiple actions possible at state: "+v+", token: "+m);switch(x[0]){case 1:n.push(m),r.push(d.yytext),a.push(d.yylloc),n.push(x[1]),m=null,u=d.yyleng,s=d.yytext,c=d.yylineno,b=d.yylloc;break;case 2:if(E=this.productions_[x[1]][1],S.$=r[r.length-E],S._$={first_line:a[a.length-(E||1)].first_line,last_line:a[a.length-1].last_line,first_column:a[a.length-(E||1)].first_column,last_column:a[a.length-1].last_column},w&&(S._$.range=[a[a.length-(E||1)].range[0],a[a.length-1].range[1]]),void 0!==(k=this.performAction.apply(S,[s,u,c,g.yy,x[1],r,a].concat(f))))return k;E&&(n=n.slice(0,-1*E*2),r=r.slice(0,-1*E),a=a.slice(0,-1*E)),n.push(this.productions_[x[1]][0]),r.push(S.$),a.push(S._$),T=o[n[n.length-2]][n[n.length-1]],n.push(T);break;case 3:return!0}}return!0}},C={EOF:1,parseError:function(t,e){if(!this.yy.parser)throw new Error(t);this.yy.parser.parseError(t,e)},setInput:function(t,e){return this.yy=e||this.yy||{},this._input=t,this._more=this._backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match="",this.conditionStack=["INITIAL"],this.yylloc={first_line:1,first_column:0,last_line:1,last_column:0},this.options.ranges&&(this.yylloc.range=[0,0]),this.offset=0,this},input:function(){var t=this._input[0];return this.yytext+=t,this.yyleng++,this.offset++,this.match+=t,this.matched+=t,t.match(/(?:\r\n?|\n).*/g)?(this.yylineno++,this.yylloc.last_line++):this.yylloc.last_column++,this.options.ranges&&this.yylloc.range[1]++,this._input=this._input.slice(1),t},unput:function(t){var e=t.length,n=t.split(/(?:\r\n?|\n)/g);this._input=t+this._input,this.yytext=this.yytext.substr(0,this.yytext.length-e),this.offset-=e;var i=this.match.split(/(?:\r\n?|\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),n.length-1&&(this.yylineno-=n.length-1);var r=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:n?(n.length===i.length?this.yylloc.first_column:0)+i[i.length-n.length].length-n[0].length:this.yylloc.first_column-e},this.options.ranges&&(this.yylloc.range=[r[0],r[0]+this.yyleng-e]),this.yyleng=this.yytext.length,this},more:function(){return this._more=!0,this},reject:function(){return this.options.backtrack_lexer?(this._backtrack=!0,this):this.parseError("Lexical error on line "+(this.yylineno+1)+". You can only invoke reject() in the lexer when the lexer is of the backtracking persuasion (options.backtrack_lexer = true).\n"+this.showPosition(),{text:"",token:null,line:this.yylineno})},less:function(t){this.unput(this.match.slice(t))},pastInput:function(){var t=this.matched.substr(0,this.matched.length-this.match.length);return(t.length>20?"...":"")+t.substr(-20).replace(/\n/g,"")},upcomingInput:function(){var t=this.match;return t.length<20&&(t+=this._input.substr(0,20-t.length)),(t.substr(0,20)+(t.length>20?"...":"")).replace(/\n/g,"")},showPosition:function(){var t=this.pastInput(),e=new Array(t.length+1).join("-");return t+this.upcomingInput()+"\n"+e+"^"},test_match:function(t,e){var n,i,r;if(this.options.backtrack_lexer&&(r={yylineno:this.yylineno,yylloc:{first_line:this.yylloc.first_line,last_line:this.last_line,first_column:this.yylloc.first_column,last_column:this.yylloc.last_column},yytext:this.yytext,match:this.match,matches:this.matches,matched:this.matched,yyleng:this.yyleng,offset:this.offset,_more:this._more,_input:this._input,yy:this.yy,conditionStack:this.conditionStack.slice(0),done:this.done},this.options.ranges&&(r.yylloc.range=this.yylloc.range.slice(0))),(i=t[0].match(/(?:\r\n?|\n).*/g))&&(this.yylineno+=i.length),this.yylloc={first_line:this.yylloc.last_line,last_line:this.yylineno+1,first_column:this.yylloc.last_column,last_column:i?i[i.length-1].length-i[i.length-1].match(/\r?\n?/)[0].length:this.yylloc.last_column+t[0].length},this.yytext+=t[0],this.match+=t[0],this.matches=t,this.yyleng=this.yytext.length,this.options.ranges&&(this.yylloc.range=[this.offset,this.offset+=this.yyleng]),this._more=!1,this._backtrack=!1,this._input=this._input.slice(t[0].length),this.matched+=t[0],n=this.performAction.call(this,this.yy,this,e,this.conditionStack[this.conditionStack.length-1]),this.done&&this._input&&(this.done=!1),n)return n;if(this._backtrack){for(var a in r)this[a]=r[a];return!1}return!1},next:function(){if(this.done)return this.EOF;var t,e,n,i;this._input||(this.done=!0),this._more||(this.yytext="",this.match="");for(var r=this._currentRules(),a=0;a<r.length;a++)if((n=this._input.match(this.rules[r[a]]))&&(!e||n[0].length>e[0].length)){if(e=n,i=a,this.options.backtrack_lexer){if(!1!==(t=this.test_match(n,r[a])))return t;if(this._backtrack){e=!1;continue}return!1}if(!this.options.flex)break}return e?!1!==(t=this.test_match(e,r[i]))&&t:""===this._input?this.EOF:this.parseError("Lexical error on line "+(this.yylineno+1)+". Unrecognized text.\n"+this.showPosition(),{text:"",token:null,line:this.yylineno})},lex:function(){var t=this.next();return t||this.lex()},begin:function(t){this.conditionStack.push(t)},popState:function(){return this.conditionStack.length-1>0?this.conditionStack.pop():this.conditionStack[0]},_currentRules:function(){return this.conditionStack.length&&this.conditionStack[this.conditionStack.length-1]?this.conditions[this.conditionStack[this.conditionStack.length-1]].rules:this.conditions.INITIAL.rules},topState:function(t){return(t=this.conditionStack.length-1-Math.abs(t||0))>=0?this.conditionStack[t]:"INITIAL"},pushState:function(t){this.begin(t)},stateStackSize:function(){return this.conditionStack.length},options:{"case-insensitive":!0},performAction:function(t,e,n,i){switch(n){case 0:return this.begin("acc_title"),25;case 1:return this.popState(),"acc_title_value";case 2:return this.begin("acc_descr"),27;case 3:return this.popState(),"acc_descr_value";case 4:this.begin("acc_descr_multiline");break;case 5:this.popState();break;case 6:return"acc_descr_multiline_value";case 7:return this.begin("open_directive"),52;case 8:return this.begin("type_directive"),53;case 9:return this.popState(),this.begin("arg_directive"),15;case 10:return this.popState(),this.popState(),55;case 11:return 54;case 12:return 11;case 13:case 20:case 25:break;case 14:return 9;case 15:return 31;case 16:return 51;case 17:return 4;case 18:return this.begin("block"),20;case 19:return 39;case 21:return 40;case 22:case 23:return 37;case 24:return 41;case 26:return this.popState(),22;case 27:case 57:return e.yytext[0];case 28:case 32:case 33:case 46:return 44;case 29:case 30:case 31:case 39:case 41:case 48:return 46;case 34:case 35:case 36:case 37:case 38:case 40:case 47:return 45;case 42:case 43:case 44:case 45:return 47;case 49:return 48;case 50:case 53:case 54:case 55:return 49;case 51:case 52:return 50;case 56:return 30;case 58:return 6}},rules:[/^(?:accTitle\s*:\s*)/i,/^(?:(?!\n||)*[^\n]*)/i,/^(?:accDescr\s*:\s*)/i,/^(?:(?!\n||)*[^\n]*)/i,/^(?:accDescr\s*\{\s*)/i,/^(?:[\}])/i,/^(?:[^\}]*)/i,/^(?:%%\{)/i,/^(?:((?:(?!\}%%)[^:.])*))/i,/^(?::)/i,/^(?:\}%%)/i,/^(?:((?:(?!\}%%).|\n)*))/i,/^(?:[\n]+)/i,/^(?:\s+)/i,/^(?:[\s]+)/i,/^(?:"[^"%\r\n\v\b\\]+")/i,/^(?:"[^"]*")/i,/^(?:erDiagram\b)/i,/^(?:\{)/i,/^(?:,)/i,/^(?:\s+)/i,/^(?:\b((?:PK)|(?:FK)|(?:UK))\b)/i,/^(?:(.*?)[~](.*?)*[~])/i,/^(?:[\*A-Za-z_][A-Za-z0-9\-_\[\]\(\)]*)/i,/^(?:"[^"]*")/i,/^(?:[\n]+)/i,/^(?:\})/i,/^(?:.)/i,/^(?:one or zero\b)/i,/^(?:one or more\b)/i,/^(?:one or many\b)/i,/^(?:1\+)/i,/^(?:\|o\b)/i,/^(?:zero or one\b)/i,/^(?:zero or more\b)/i,/^(?:zero or many\b)/i,/^(?:0\+)/i,/^(?:\}o\b)/i,/^(?:many\(0\))/i,/^(?:many\(1\))/i,/^(?:many\b)/i,/^(?:\}\|)/i,/^(?:one\b)/i,/^(?:only one\b)/i,/^(?:1\b)/i,/^(?:\|\|)/i,/^(?:o\|)/i,/^(?:o\{)/i,/^(?:\|\{)/i,/^(?:\s*u\b)/i,/^(?:\.\.)/i,/^(?:--)/i,/^(?:to\b)/i,/^(?:optionally 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n=new Error(t);throw n.hash=e,n}this.trace(t)},parse:function(t){var e=this,n=[0],i=[],r=[null],a=[],o=this.table,s="",c=0,u=0,l=2,h=1,f=a.slice.call(arguments,1),d=Object.create(this.lexer),g={yy:{}};for(var p in this.yy)Object.prototype.hasOwnProperty.call(this.yy,p)&&(g.yy[p]=this.yy[p]);d.setInput(t,g.yy),g.yy.lexer=d,g.yy.parser=this,void 0===d.yylloc&&(d.yylloc={});var b=d.yylloc;a.push(b);var w=d.options&&d.options.ranges;function y(){var t;return"number"!=typeof(t=i.pop()||d.lex()||h)&&(t instanceof Array&&(t=(i=t).pop()),t=e.symbols_[t]||t),t}"function"==typeof g.yy.parseError?this.parseError=g.yy.parseError:this.parseError=Object.getPrototypeOf(this).parseError;for(var m,v,x,k,_,E,T,C,S={};;){if(v=n[n.length-1],this.defaultActions[v]?x=this.defaultActions[v]:(null==m&&(m=y()),x=o[v]&&o[v][m]),void 0===x||!x.length||!x[0]){var A="";for(_ in C=[],o[v])this.terminals_[_]&&_>l&&C.push("'"+this.terminals_[_]+"'");A=d.showPosition?"Parse error on line "+(c+1)+":\n"+d.showPosition()+"\nExpecting "+C.join(", ")+", got '"+(this.terminals_[m]||m)+"'":"Parse error on line "+(c+1)+": Unexpected "+(m==h?"end of input":"'"+(this.terminals_[m]||m)+"'"),this.parseError(A,{text:d.match,token:this.terminals_[m]||m,line:d.yylineno,loc:b,expected:C})}if(x[0]instanceof Array&&x.length>1)throw new Error("Parse Error: multiple actions possible at state: "+v+", token: "+m);switch(x[0]){case 1:n.push(m),r.push(d.yytext),a.push(d.yylloc),n.push(x[1]),m=null,u=d.yyleng,s=d.yytext,c=d.yylineno,b=d.yylloc;break;case 2:if(E=this.productions_[x[1]][1],S.$=r[r.length-E],S._$={first_line:a[a.length-(E||1)].first_line,last_line:a[a.length-1].last_line,first_column:a[a.length-(E||1)].first_column,last_column:a[a.length-1].last_column},w&&(S._$.range=[a[a.length-(E||1)].range[0],a[a.length-1].range[1]]),void 0!==(k=this.performAction.apply(S,[s,u,c,g.yy,x[1],r,a].concat(f))))return k;E&&(n=n.slice(0,-1*E*2),r=r.slice(0,-1*E),a=a.slice(0,-1*E)),n.push(this.productions_[x[1]][0]),r.push(S.$),a.push(S._$),T=o[n[n.length-2]][n[n.length-1]],n.push(T);break;case 3:return!0}}return!0}},ee={EOF:1,parseError:function(t,e){if(!this.yy.parser)throw new Error(t);this.yy.parser.parseError(t,e)},setInput:function(t,e){return this.yy=e||this.yy||{},this._input=t,this._more=this._backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match="",this.conditionStack=["INITIAL"],this.yylloc={first_line:1,first_column:0,last_line:1,last_column:0},this.options.ranges&&(this.yylloc.range=[0,0]),this.offset=0,this},input:function(){var t=this._input[0];return this.yytext+=t,this.yyleng++,this.offset++,this.match+=t,this.matched+=t,t.match(/(?:\r\n?|\n).*/g)?(this.yylineno++,this.yylloc.last_line++):this.yylloc.last_column++,this.options.ranges&&this.yylloc.range[1]++,this._input=this._input.slice(1),t},unput:function(t){var e=t.length,n=t.split(/(?:\r\n?|\n)/g);this._input=t+this._input,this.yytext=this.yytext.substr(0,this.yytext.length-e),this.offset-=e;var i=this.match.split(/(?:\r\n?|\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),n.length-1&&(this.yylineno-=n.length-1);var r=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:n?(n.length===i.length?this.yylloc.first_column:0)+i[i.length-n.length].length-n[0].length:this.yylloc.first_column-e},this.options.ranges&&(this.yylloc.range=[r[0],r[0]+this.yyleng-e]),this.yyleng=this.yytext.length,this},more:function(){return this._more=!0,this},reject:function(){return this.options.backtrack_lexer?(this._backtrack=!0,this):this.parseError("Lexical error on line "+(this.yylineno+1)+". You can only invoke reject() in the lexer when the lexer is of the backtracking persuasion (options.backtrack_lexer = true).\n"+this.showPosition(),{text:"",token:null,line:this.yylineno})},less:function(t){this.unput(this.match.slice(t))},pastInput:function(){var t=this.matched.substr(0,this.matched.length-this.match.length);return(t.length>20?"...":"")+t.substr(-20).replace(/\n/g,"")},upcomingInput:function(){var t=this.match;return t.length<20&&(t+=this._input.substr(0,20-t.length)),(t.substr(0,20)+(t.length>20?"...":"")).replace(/\n/g,"")},showPosition:function(){var t=this.pastInput(),e=new Array(t.length+1).join("-");return t+this.upcomingInput()+"\n"+e+"^"},test_match:function(t,e){var n,i,r;if(this.options.backtrack_lexer&&(r={yylineno:this.yylineno,yylloc:{first_line:this.yylloc.first_line,last_line:this.last_line,first_column:this.yylloc.first_column,last_column:this.yylloc.last_column},yytext:this.yytext,match:this.match,matches:this.matches,matched:this.matched,yyleng:this.yyleng,offset:this.offset,_more:this._more,_input:this._input,yy:this.yy,conditionStack:this.conditionStack.slice(0),done:this.done},this.options.ranges&&(r.yylloc.range=this.yylloc.range.slice(0))),(i=t[0].match(/(?:\r\n?|\n).*/g))&&(this.yylineno+=i.length),this.yylloc={first_line:this.yylloc.last_line,last_line:this.yylineno+1,first_column:this.yylloc.last_column,last_column:i?i[i.length-1].length-i[i.length-1].match(/\r?\n?/)[0].length:this.yylloc.last_column+t[0].length},this.yytext+=t[0],this.match+=t[0],this.matches=t,this.yyleng=this.yytext.length,this.options.ranges&&(this.yylloc.range=[this.offset,this.offset+=this.yyleng]),this._more=!1,this._backtrack=!1,this._input=this._input.slice(t[0].length),this.matched+=t[0],n=this.performAction.call(this,this.yy,this,e,this.conditionStack[this.conditionStack.length-1]),this.done&&this._input&&(this.done=!1),n)return n;if(this._backtrack){for(var a in r)this[a]=r[a];return!1}return!1},next:function(){if(this.done)return this.EOF;var t,e,n,i;this._input||(this.done=!0),this._more||(this.yytext="",this.match="");for(var r=this._currentRules(),a=0;a<r.length;a++)if((n=this._input.match(this.rules[r[a]]))&&(!e||n[0].length>e[0].length)){if(e=n,i=a,this.options.backtrack_lexer){if(!1!==(t=this.test_match(n,r[a])))return t;if(this._backtrack){e=!1;continue}return!1}if(!this.options.flex)break}return e?!1!==(t=this.test_match(e,r[i]))&&t:""===this._input?this.EOF:this.parseError("Lexical error on line "+(this.yylineno+1)+". Unrecognized text.\n"+this.showPosition(),{text:"",token:null,line:this.yylineno})},lex:function(){var t=this.next();return t||this.lex()},begin:function(t){this.conditionStack.push(t)},popState:function(){return this.conditionStack.length-1>0?this.conditionStack.pop():this.conditionStack[0]},_currentRules:function(){return this.conditionStack.length&&this.conditionStack[this.conditionStack.length-1]?this.conditions[this.conditionStack[this.conditionStack.length-1]].rules:this.conditions.INITIAL.rules},topState:function(t){return(t=this.conditionStack.length-1-Math.abs(t||0))>=0?this.conditionStack[t]:"INITIAL"},pushState:function(t){this.begin(t)},stateStackSize:function(){return this.conditionStack.length},options:{},performAction:function(t,e,n,i){switch(n){case 0:return this.begin("open_directive"),12;case 1:return this.begin("type_directive"),13;case 2:return this.popState(),this.begin("arg_directive"),10;case 3:return this.popState(),this.popState(),15;case 4:return 14;case 5:return this.begin("acc_title"),45;case 6:return this.popState(),"acc_title_value";case 7:return this.begin("acc_descr"),47;case 8:return this.popState(),"acc_descr_value";case 9:this.begin("acc_descr_multiline");break;case 10:case 13:case 16:case 19:case 22:case 32:this.popState();break;case 11:return"acc_descr_multiline_value";case 12:this.begin("callbackname");break;case 14:this.popState(),this.begin("callbackargs");break;case 15:return 103;case 17:return 104;case 18:return"MD_STR";case 20:this.begin("md_string");break;case 21:return"STR";case 23:this.pushState("string");break;case 24:return 92;case 25:return 110;case 26:return 93;case 27:return 112;case 28:return 94;case 29:return 95;case 30:return 105;case 31:this.begin("click");break;case 33:return 96;case 34:case 35:case 36:return t.lex.firstGraph()&&this.begin("dir"),24;case 37:return 38;case 38:return 43;case 39:case 40:case 41:case 42:return 106;case 43:return this.popState(),25;case 44:case 45:case 46:case 47:case 48:case 49:case 50:case 51:case 52:case 53:return this.popState(),26;case 54:return 129;case 55:return 130;case 56:return 131;case 57:return 132;case 58:return 113;case 59:case 100:return 119;case 60:return 55;case 61:return 69;case 62:case 101:return 53;case 63:return 20;case 64:return 114;case 65:case 99:return 123;case 66:case 69:case 72:return this.popState(),86;case 67:return this.pushState("edgeText"),84;case 68:case 71:case 74:return 127;case 70:return this.pushState("thickEdgeText"),84;case 73:return this.pushState("dottedEdgeText"),84;case 75:return 86;case 76:return this.popState(),62;case 77:case 113:return"TEXT";case 78:return this.pushState("ellipseText"),61;case 79:return this.popState(),64;case 80:return this.pushState("text"),63;case 81:return this.popState(),66;case 82:return this.pushState("text"),65;case 83:return 67;case 84:return this.pushState("text"),76;case 85:return this.popState(),73;case 86:return this.pushState("text"),72;case 87:return this.popState(),58;case 88:return this.pushState("text"),57;case 89:return this.popState(),78;case 90:return this.popState(),80;case 91:return 125;case 92:return this.pushState("trapText"),77;case 93:return this.pushState("trapText"),79;case 94:return 126;case 95:return 76;case 96:return 98;case 97:return"SEP";case 98:return 97;case 102:return 117;case 103:return 122;case 104:return 124;case 105:return this.popState(),71;case 106:return this.pushState("text"),71;case 107:return this.popState(),60;case 108:return this.pushState("text"),59;case 109:return this.popState(),42;case 110:return this.pushState("text"),40;case 111:return this.popState(),75;case 112:return this.pushState("text"),74;case 114:return"QUOTE";case 115:return 21;case 116:return 22;case 117:return 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center;\n    max-width: 200px;\n    padding: 2px;\n    font-family: ${t.fontFamily};\n    font-size: 12px;\n    background: ${t.tertiaryColor};\n    border: 1px solid ${t.border2};\n    border-radius: 2px;\n    pointer-events: none;\n    z-index: 100;\n  }\n\n  .flowchartTitleText {\n    text-anchor: middle;\n    font-size: 18px;\n    fill: ${t.textColor};\n  }\n  .subgraph {\n    stroke-width:2;\n    rx:3;\n  }\n  // .subgraph-lvl-1 {\n  //   fill:#ccc;\n  //   // stroke:black;\n  // }\n\n  .flowchart-label text {\n    text-anchor: middle;\n  }\n\n  ${(t=>{let e="";for(let n=0;n<5;n++)e+=`\n      .subgraph-lvl-${n} {\n        fill: ${t[`surface${n}`]};\n        stroke: ${t[`surfacePeer${n}`]};\n      }\n    `;return e})(t)}\n`,x={db:i.d,renderer:m,parser:i.p,styles:v}},9773:(t,e,n)=>{"use strict";n.r(e),n.d(e,{diagram:()=>X});var i=n(7967),r=n(7484),a=n(9542),o=n(285),s=n(8734),c=n(9339),u=n(7274),l=(n(7856),function(){var t=function(t,e,n,i){for(n=n||{},i=t.length;i--;n[t[i]]=e);return n},e=[1,3],n=[1,5],i=[7,9,11,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,31,33,34,36,43,48],r=[1,32],a=[1,33],o=[1,34],s=[1,35],c=[1,36],u=[1,37],l=[1,38],h=[1,15],f=[1,16],d=[1,17],g=[1,18],p=[1,19],b=[1,20],w=[1,21],y=[1,22],m=[1,24],v=[1,25],x=[1,26],k=[1,27],_=[1,28],E=[1,30],T=[1,39],C=[1,42],S=[5,7,9,11,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,31,33,34,36,43,48],A={trace:function(){},yy:{},symbols_:{error:2,start:3,directive:4,gantt:5,document:6,EOF:7,line:8,SPACE:9,statement:10,NL:11,weekday:12,weekday_monday:13,weekday_tuesday:14,weekday_wednesday:15,weekday_thursday:16,weekday_friday:17,weekday_saturday:18,weekday_sunday:19,dateFormat:20,inclusiveEndDates:21,topAxis:22,axisFormat:23,tickInterval:24,excludes:25,includes:26,todayMarker:27,title:28,acc_title:29,acc_title_value:30,acc_descr:31,acc_descr_value:32,acc_descr_multiline_value:33,section:34,clickStatement:35,taskTxt:36,taskData:37,openDirective:38,typeDirective:39,closeDirective:40,":":41,argDirective:42,click:43,callbackname:44,callbackargs:45,href:46,clickStatementDebug:47,open_directive:48,type_directive:49,arg_directive:50,close_directive:51,$accept:0,$end:1},terminals_:{2:"error",5:"gantt",7:"EOF",9:"SPACE",11:"NL",13:"weekday_monday",14:"weekday_tuesday",15:"weekday_wednesday",16:"weekday_thursday",17:"weekday_friday",18:"weekday_saturday",19:"weekday_sunday",20:"dateFormat",21:"inclusiveEndDates",22:"topAxis",23:"axisFormat",24:"tickInterval",25:"excludes",26:"includes",27:"todayMarker",28:"title",29:"acc_title",30:"acc_title_value",31:"acc_descr",32:"acc_descr_value",33:"acc_descr_multiline_value",34:"section",36:"taskTxt",37:"taskData",41:":",43:"click",44:"callbackname",45:"callbackargs",46:"href",48:"open_directive",49:"type_directive",50:"arg_directive",51:"close_directive"},productions_:[0,[3,2],[3,3],[6,0],[6,2],[8,2],[8,1],[8,1],[8,1],[12,1],[12,1],[12,1],[12,1],[12,1],[12,1],[12,1],[10,1],[10,1],[10,1],[10,1],[10,1],[10,1],[10,1],[10,1],[10,1],[10,1],[10,2],[10,2],[10,1],[10,1],[10,1],[10,2],[10,1],[4,4],[4,6],[35,2],[35,3],[35,3],[35,4],[35,3],[35,4],[35,2],[47,2],[47,3],[47,3],[47,4],[47,3],[47,4],[47,2],[38,1],[39,1],[42,1],[40,1]],performAction:function(t,e,n,i,r,a,o){var s=a.length-1;switch(r){case 2:return a[s-1];case 3:case 7:case 8:this.$=[];break;case 4:a[s-1].push(a[s]),this.$=a[s-1];break;case 5:case 6:this.$=a[s];break;case 9:i.setWeekday("monday");break;case 10:i.setWeekday("tuesday");break;case 11:i.setWeekday("wednesday");break;case 12:i.setWeekday("thursday");break;case 13:i.setWeekday("friday");break;case 14:i.setWeekday("saturday");break;case 15:i.setWeekday("sunday");break;case 16:i.setDateFormat(a[s].substr(11)),this.$=a[s].substr(11);break;case 17:i.enableInclusiveEndDates(),this.$=a[s].substr(18);break;case 18:i.TopAxis(),this.$=a[s].substr(8);break;case 19:i.setAxisFormat(a[s].substr(11)),this.$=a[s].substr(11);break;case 20:i.setTickInterval(a[s].substr(13)),this.$=a[s].substr(13);break;case 21:i.setExcludes(a[s].substr(9)),this.$=a[s].substr(9);break;case 22:i.setIncludes(a[s].substr(9)),this.$=a[s].substr(9);break;case 23:i.setTodayMarker(a[s].substr(12)),this.$=a[s].substr(12);break;case 25:i.setDiagramTitle(a[s].substr(6)),this.$=a[s].substr(6);break;case 26:this.$=a[s].trim(),i.setAccTitle(this.$);break;case 27:case 28:this.$=a[s].trim(),i.setAccDescription(this.$);break;case 29:i.addSection(a[s].substr(8)),this.$=a[s].substr(8);break;case 31:i.addTask(a[s-1],a[s]),this.$="task";break;case 35:this.$=a[s-1],i.setClickEvent(a[s-1],a[s],null);break;case 36:this.$=a[s-2],i.setClickEvent(a[s-2],a[s-1],a[s]);break;case 37:this.$=a[s-2],i.setClickEvent(a[s-2],a[s-1],null),i.setLink(a[s-2],a[s]);break;case 38:this.$=a[s-3],i.setClickEvent(a[s-3],a[s-2],a[s-1]),i.setLink(a[s-3],a[s]);break;case 39:this.$=a[s-2],i.setClickEvent(a[s-2],a[s],null),i.setLink(a[s-2],a[s-1]);break;case 40:this.$=a[s-3],i.setClickEvent(a[s-3],a[s-1],a[s]),i.setLink(a[s-3],a[s-2]);break;case 41:this.$=a[s-1],i.setLink(a[s-1],a[s]);break;case 42:case 48:this.$=a[s-1]+" "+a[s];break;case 43:case 44:case 46:this.$=a[s-2]+" "+a[s-1]+" "+a[s];break;case 45:case 47:this.$=a[s-3]+" "+a[s-2]+" "+a[s-1]+" 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52:i.parseDirective("}%%","close_directive","gantt")}},table:[{3:1,4:2,5:e,38:4,48:n},{1:[3]},{3:6,4:2,5:e,38:4,48:n},t(i,[2,3],{6:7}),{39:8,49:[1,9]},{49:[2,49]},{1:[2,1]},{4:31,7:[1,10],8:11,9:[1,12],10:13,11:[1,14],12:23,13:r,14:a,15:o,16:s,17:c,18:u,19:l,20:h,21:f,22:d,23:g,24:p,25:b,26:w,27:y,28:m,29:v,31:x,33:k,34:_,35:29,36:E,38:4,43:T,48:n},{40:40,41:[1,41],51:C},t([41,51],[2,50]),t(i,[2,8],{1:[2,2]}),t(i,[2,4]),{4:31,10:43,12:23,13:r,14:a,15:o,16:s,17:c,18:u,19:l,20:h,21:f,22:d,23:g,24:p,25:b,26:w,27:y,28:m,29:v,31:x,33:k,34:_,35:29,36:E,38:4,43:T,48:n},t(i,[2,6]),t(i,[2,7]),t(i,[2,16]),t(i,[2,17]),t(i,[2,18]),t(i,[2,19]),t(i,[2,20]),t(i,[2,21]),t(i,[2,22]),t(i,[2,23]),t(i,[2,24]),t(i,[2,25]),{30:[1,44]},{32:[1,45]},t(i,[2,28]),t(i,[2,29]),t(i,[2,30]),{37:[1,46]},t(i,[2,32]),t(i,[2,9]),t(i,[2,10]),t(i,[2,11]),t(i,[2,12]),t(i,[2,13]),t(i,[2,14]),t(i,[2,15]),{44:[1,47],46:[1,48]},{11:[1,49]},{42:50,50:[1,51]},{11:[2,52]},t(i,[2,5]),t(i,[2,26]),t(i,[2,27]),t(i,[2,31]),t(i,[2,35],{45:[1,52],46:[1,53]}),t(i,[2,41],{44:[1,54]}),t(S,[2,33]),{40:55,51:C},{51:[2,51]},t(i,[2,36],{46:[1,56]}),t(i,[2,37]),t(i,[2,39],{45:[1,57]}),{11:[1,58]},t(i,[2,38]),t(i,[2,40]),t(S,[2,34])],defaultActions:{5:[2,49],6:[2,1],42:[2,52],51:[2,51]},parseError:function(t,e){if(!e.recoverable){var n=new Error(t);throw n.hash=e,n}this.trace(t)},parse:function(t){var e=this,n=[0],i=[],r=[null],a=[],o=this.table,s="",c=0,u=0,l=2,h=1,f=a.slice.call(arguments,1),d=Object.create(this.lexer),g={yy:{}};for(var p in this.yy)Object.prototype.hasOwnProperty.call(this.yy,p)&&(g.yy[p]=this.yy[p]);d.setInput(t,g.yy),g.yy.lexer=d,g.yy.parser=this,void 0===d.yylloc&&(d.yylloc={});var b=d.yylloc;a.push(b);var w=d.options&&d.options.ranges;function y(){var t;return"number"!=typeof(t=i.pop()||d.lex()||h)&&(t instanceof Array&&(t=(i=t).pop()),t=e.symbols_[t]||t),t}"function"==typeof g.yy.parseError?this.parseError=g.yy.parseError:this.parseError=Object.getPrototypeOf(this).parseError;for(var m,v,x,k,_,E,T,C,S={};;){if(v=n[n.length-1],this.defaultActions[v]?x=this.defaultActions[v]:(null==m&&(m=y()),x=o[v]&&o[v][m]),void 0===x||!x.length||!x[0]){var A="";for(_ in C=[],o[v])this.terminals_[_]&&_>l&&C.push("'"+this.terminals_[_]+"'");A=d.showPosition?"Parse error on line 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k;E&&(n=n.slice(0,-1*E*2),r=r.slice(0,-1*E),a=a.slice(0,-1*E)),n.push(this.productions_[x[1]][0]),r.push(S.$),a.push(S._$),T=o[n[n.length-2]][n[n.length-1]],n.push(T);break;case 3:return!0}}return!0}},M={EOF:1,parseError:function(t,e){if(!this.yy.parser)throw new Error(t);this.yy.parser.parseError(t,e)},setInput:function(t,e){return this.yy=e||this.yy||{},this._input=t,this._more=this._backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match="",this.conditionStack=["INITIAL"],this.yylloc={first_line:1,first_column:0,last_line:1,last_column:0},this.options.ranges&&(this.yylloc.range=[0,0]),this.offset=0,this},input:function(){var t=this._input[0];return this.yytext+=t,this.yyleng++,this.offset++,this.match+=t,this.matched+=t,t.match(/(?:\r\n?|\n).*/g)?(this.yylineno++,this.yylloc.last_line++):this.yylloc.last_column++,this.options.ranges&&this.yylloc.range[1]++,this._input=this._input.slice(1),t},unput:function(t){var e=t.length,n=t.split(/(?:\r\n?|\n)/g);this._input=t+this._input,this.yytext=this.yytext.substr(0,this.yytext.length-e),this.offset-=e;var i=this.match.split(/(?:\r\n?|\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),n.length-1&&(this.yylineno-=n.length-1);var r=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:n?(n.length===i.length?this.yylloc.first_column:0)+i[i.length-n.length].length-n[0].length:this.yylloc.first_column-e},this.options.ranges&&(this.yylloc.range=[r[0],r[0]+this.yyleng-e]),this.yyleng=this.yytext.length,this},more:function(){return this._more=!0,this},reject:function(){return this.options.backtrack_lexer?(this._backtrack=!0,this):this.parseError("Lexical error on line "+(this.yylineno+1)+". You can only invoke reject() in the lexer when the lexer is of the backtracking persuasion (options.backtrack_lexer = true).\n"+this.showPosition(),{text:"",token:null,line:this.yylineno})},less:function(t){this.unput(this.match.slice(t))},pastInput:function(){var t=this.matched.substr(0,this.matched.length-this.match.length);return(t.length>20?"...":"")+t.substr(-20).replace(/\n/g,"")},upcomingInput:function(){var t=this.match;return t.length<20&&(t+=this._input.substr(0,20-t.length)),(t.substr(0,20)+(t.length>20?"...":"")).replace(/\n/g,"")},showPosition:function(){var t=this.pastInput(),e=new Array(t.length+1).join("-");return t+this.upcomingInput()+"\n"+e+"^"},test_match:function(t,e){var n,i,r;if(this.options.backtrack_lexer&&(r={yylineno:this.yylineno,yylloc:{first_line:this.yylloc.first_line,last_line:this.last_line,first_column:this.yylloc.first_column,last_column:this.yylloc.last_column},yytext:this.yytext,match:this.match,matches:this.matches,matched:this.matched,yyleng:this.yyleng,offset:this.offset,_more:this._more,_input:this._input,yy:this.yy,conditionStack:this.conditionStack.slice(0),done:this.done},this.options.ranges&&(r.yylloc.range=this.yylloc.range.slice(0))),(i=t[0].match(/(?:\r\n?|\n).*/g))&&(this.yylineno+=i.length),this.yylloc={first_line:this.yylloc.last_line,last_line:this.yylineno+1,first_column:this.yylloc.last_column,last_column:i?i[i.length-1].length-i[i.length-1].match(/\r?\n?/)[0].length:this.yylloc.last_column+t[0].length},this.yytext+=t[0],this.match+=t[0],this.matches=t,this.yyleng=this.yytext.length,this.options.ranges&&(this.yylloc.range=[this.offset,this.offset+=this.yyleng]),this._more=!1,this._backtrack=!1,this._input=this._input.slice(t[0].length),this.matched+=t[0],n=this.performAction.call(this,this.yy,this,e,this.conditionStack[this.conditionStack.length-1]),this.done&&this._input&&(this.done=!1),n)return n;if(this._backtrack){for(var a in r)this[a]=r[a];return!1}return!1},next:function(){if(this.done)return this.EOF;var t,e,n,i;this._input||(this.done=!0),this._more||(this.yytext="",this.match="");for(var r=this._currentRules(),a=0;a<r.length;a++)if((n=this._input.match(this.rules[r[a]]))&&(!e||n[0].length>e[0].length)){if(e=n,i=a,this.options.backtrack_lexer){if(!1!==(t=this.test_match(n,r[a])))return t;if(this._backtrack){e=!1;continue}return!1}if(!this.options.flex)break}return e?!1!==(t=this.test_match(e,r[i]))&&t:""===this._input?this.EOF:this.parseError("Lexical error on line "+(this.yylineno+1)+". 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121:i.parseDirective("}%%","close_directive","gitGraph")}},table:[{3:1,4:2,5:3,6:e,8:n,14:i,46:8,50:r,55:a},{1:[3]},{3:10,4:2,5:3,6:e,8:n,14:i,46:8,50:r,55:a},{3:11,4:2,5:3,6:e,8:n,14:i,46:8,50:r,55:a},{7:12,8:o,9:[1,13],10:[1,14],11:15,14:s},t(c,[2,124]),t(c,[2,125]),t(c,[2,126]),{47:17,51:[1,18]},{51:[2,118]},{1:[2,1]},{1:[2,2]},{8:[1,19]},{7:20,8:o,11:15,14:s},{9:[1,21]},t(u,[2,10],{12:22,13:[1,23]}),t(l,[2,9]),{9:[1,25],48:24,53:h},t([9,53],[2,119]),{1:[2,3]},{8:[1,27]},{7:28,8:o,11:15,14:s},{8:[2,7],14:[1,31],15:29,16:30,17:32,18:33,19:34,20:[1,35],22:[1,36],24:[1,37],25:[1,38],26:39,27:[1,40],29:[1,44],32:[1,43],37:[1,42],40:[1,41]},t(l,[2,8]),t(f,[2,116]),{49:45,52:[1,46]},t(f,[2,121]),{1:[2,4]},{8:[1,47]},t(u,[2,11]),{4:48,8:n,14:i,55:a},t(u,[2,13]),t(d,[2,14]),t(d,[2,15]),t(d,[2,16]),{21:[1,49]},{23:[1,50]},t(d,[2,19]),t(d,[2,20]),t(d,[2,21]),{28:51,34:g,54:p},t(d,[2,111],{41:54,33:[1,57],34:[1,59],35:[1,55],38:[1,56],42:[1,58]}),{28:60,34:g,54:p},{33:[1,61],35:[1,62]},{28:63,34:g,54:p},{48:64,53:h},{53:[2,120]},{1:[2,5]},t(u,[2,12]),t(d,[2,17]),t(d,[2,18]),t(d,[2,22]),t(b,[2,122]),t(b,[2,123]),t(d,[2,46]),{34:[1,65]},{39:66,43:w,44:y,45:m},{34:[1,70]},{34:[1,71]},t(d,[2,112]),t(d,[2,30],{33:[1,72],35:[1,74],38:[1,73]}),{34:[1,75]},{34:[1,76],36:[1,77]},t(d,[2,23],{30:[1,78]}),t(f,[2,117]),t(d,[2,47],{33:[1,80],38:[1,79],42:[1,81]}),t(d,[2,48],{33:[1,83],35:[1,82],42:[1,84]}),t(v,[2,113]),t(v,[2,114]),t(v,[2,115]),t(d,[2,51],{35:[1,85],38:[1,86],42:[1,87]}),t(d,[2,62],{33:[1,90],35:[1,88],38:[1,89]}),{34:[1,91]},{39:92,43:w,44:y,45:m},{34:[1,93]},t(d,[2,25],{35:[1,94]}),{33:[1,95]},{33:[1,96]},{31:[1,97]},{39:98,43:w,44:y,45:m},{34:[1,99]},{34:[1,100]},{34:[1,101]},{34:[1,102]},{34:[1,103]},{34:[1,104]},{39:105,43:w,44:y,45:m},{34:[1,106]},{34:[1,107]},{39:108,43:w,44:y,45:m},{34:[1,109]},t(d,[2,31],{35:[1,111],38:[1,110]}),t(d,[2,32],{33:[1,113],35:[1,112]}),t(d,[2,33],{33:[1,114],38:[1,115]}),{34:[1,116],36:[1,117]},{34:[1,118]},{34:[1,119]},t(d,[2,24]),t(d,[2,49],{33:[1,120],42:[1,121]}),t(d,[2,53],{38:[1,122],42:[1,123]}),t(d,[2,63],{33:[1,125],38:[1,124]}),t(d,[2,50],{33:[1,126],42:[1,127]}),t(d,[2,55],{35:[1,128],42:[1,129]}),t(d,[2,66],{33:[1,131],35:[1,130]}),t(d,[2,52],{38:[1,132],42:[1,133]}),t(d,[2,54],{35:[1,134],42:[1,135]}),t(d,[2,67],{35:[1,137],38:[1,136]}),t(d,[2,64],{33:[1,139],38:[1,138]}),t(d,[2,65],{33:[1,141],35:[1,140]}),t(d,[2,68],{35:[1,143],38:[1,142]}),{39:144,43:w,44:y,45:m},{34:[1,145]},{34:[1,146]},{34:[1,147]},{34:[1,148]},{39:149,43:w,44:y,45:m},t(d,[2,26]),t(d,[2,27]),t(d,[2,28]),t(d,[2,29]),{34:[1,150]},{34:[1,151]},{39:152,43:w,44:y,45:m},{34:[1,153]},{39:154,43:w,44:y,45:m},{34:[1,155]},{34:[1,156]},{34:[1,157]},{34:[1,158]},{34:[1,159]},{34:[1,160]},{34:[1,161]},{39:162,43:w,44:y,45:m},{34:[1,163]},{34:[1,164]},{34:[1,165]},{39:166,43:w,44:y,45:m},{34:[1,167]},{39:168,43:w,44:y,45:m},{34:[1,169]},{34:[1,170]},{34:[1,171]},{39:172,43:w,44:y,45:m},{34:[1,173]},t(d,[2,37],{35:[1,174]}),t(d,[2,38],{38:[1,175]}),t(d,[2,36],{33:[1,176]}),t(d,[2,39],{35:[1,177]}),t(d,[2,34],{38:[1,178]}),t(d,[2,35],{33:[1,179]}),t(d,[2,60],{42:[1,180]}),t(d,[2,73],{33:[1,181]}),t(d,[2,61],{42:[1,182]}),t(d,[2,84],{38:[1,183]}),t(d,[2,74],{33:[1,184]}),t(d,[2,83],{38:[1,185]}),t(d,[2,59],{42:[1,186]}),t(d,[2,72],{33:[1,187]}),t(d,[2,58],{42:[1,188]}),t(d,[2,78],{35:[1,189]}),t(d,[2,71],{33:[1,190]}),t(d,[2,77],{35:[1,191]}),t(d,[2,57],{42:[1,192]}),t(d,[2,85],{38:[1,193]}),t(d,[2,56],{42:[1,194]}),t(d,[2,79],{35:[1,195]}),t(d,[2,80],{35:[1,196]}),t(d,[2,86],{38:[1,197]}),t(d,[2,70],{33:[1,198]}),t(d,[2,81],{38:[1,199]}),t(d,[2,69],{33:[1,200]}),t(d,[2,75],{35:[1,201]}),t(d,[2,76],{35:[1,202]}),t(d,[2,82],{38:[1,203]}),{34:[1,204]},{39:205,43:w,44:y,45:m},{34:[1,206]},{34:[1,207]},{39:208,43:w,44:y,45:m},{34:[1,209]},{34:[1,210]},{34:[1,211]},{34:[1,212]},{39:213,43:w,44:y,45:m},{34:[1,214]},{39:215,43:w,44:y,45:m},{34:[1,216]},{34:[1,217]},{34:[1,218]},{34:[1,219]},{34:[1,220]},{34:[1,221]},{34:[1,222]},{39:223,43:w,44:y,45:m},{34:[1,224]},{34:[1,225]},{34:[1,226]},{39:227,43:w,44:y,45:m},{34:[1,228]},{39:229,43:w,44:y,45:m},{34:[1,230]},{34:[1,231]},{34:[1,232]},{39:233,43:w,44:y,45:m},t(d,[2,40]),t(d,[2,42]),t(d,[2,41]),t(d,[2,43]),t(d,[2,45]),t(d,[2,44]),t(d,[2,101]),t(d,[2,102]),t(d,[2,99]),t(d,[2,100]),t(d,[2,104]),t(d,[2,103]),t(d,[2,108]),t(d,[2,107]),t(d,[2,106]),t(d,[2,105]),t(d,[2,110]),t(d,[2,109]),t(d,[2,98]),t(d,[2,97]),t(d,[2,96]),t(d,[2,95]),t(d,[2,93]),t(d,[2,94]),t(d,[2,92]),t(d,[2,91]),t(d,[2,90]),t(d,[2,89]),t(d,[2,87]),t(d,[2,88])],defaultActions:{9:[2,118],10:[2,1],11:[2,2],19:[2,3],27:[2,4],46:[2,120],47:[2,5]},parseError:function(t,e){if(!e.recoverable){var n=new Error(t);throw n.hash=e,n}this.trace(t)},parse:function(t){var e=this,n=[0],i=[],r=[null],a=[],o=this.table,s="",c=0,u=0,l=2,h=1,f=a.slice.call(arguments,1),d=Object.create(this.lexer),g={yy:{}};for(var p in this.yy)Object.prototype.hasOwnProperty.call(this.yy,p)&&(g.yy[p]=this.yy[p]);d.setInput(t,g.yy),g.yy.lexer=d,g.yy.parser=this,void 0===d.yylloc&&(d.yylloc={});var b=d.yylloc;a.push(b);var w=d.options&&d.options.ranges;function y(){var t;return"number"!=typeof(t=i.pop()||d.lex()||h)&&(t instanceof Array&&(t=(i=t).pop()),t=e.symbols_[t]||t),t}"function"==typeof g.yy.parseError?this.parseError=g.yy.parseError:this.parseError=Object.getPrototypeOf(this).parseError;for(var m,v,x,k,_,E,T,C,S={};;){if(v=n[n.length-1],this.defaultActions[v]?x=this.defaultActions[v]:(null==m&&(m=y()),x=o[v]&&o[v][m]),void 0===x||!x.length||!x[0]){var A="";for(_ in C=[],o[v])this.terminals_[_]&&_>l&&C.push("'"+this.terminals_[_]+"'");A=d.showPosition?"Parse error on line 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k;E&&(n=n.slice(0,-1*E*2),r=r.slice(0,-1*E),a=a.slice(0,-1*E)),n.push(this.productions_[x[1]][0]),r.push(S.$),a.push(S._$),T=o[n[n.length-2]][n[n.length-1]],n.push(T);break;case 3:return!0}}return!0}},k={EOF:1,parseError:function(t,e){if(!this.yy.parser)throw new Error(t);this.yy.parser.parseError(t,e)},setInput:function(t,e){return this.yy=e||this.yy||{},this._input=t,this._more=this._backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match="",this.conditionStack=["INITIAL"],this.yylloc={first_line:1,first_column:0,last_line:1,last_column:0},this.options.ranges&&(this.yylloc.range=[0,0]),this.offset=0,this},input:function(){var t=this._input[0];return this.yytext+=t,this.yyleng++,this.offset++,this.match+=t,this.matched+=t,t.match(/(?:\r\n?|\n).*/g)?(this.yylineno++,this.yylloc.last_line++):this.yylloc.last_column++,this.options.ranges&&this.yylloc.range[1]++,this._input=this._input.slice(1),t},unput:function(t){var e=t.length,n=t.split(/(?:\r\n?|\n)/g);this._input=t+this._input,this.yytext=this.yytext.substr(0,this.yytext.length-e),this.offset-=e;var i=this.match.split(/(?:\r\n?|\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),n.length-1&&(this.yylineno-=n.length-1);var r=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:n?(n.length===i.length?this.yylloc.first_column:0)+i[i.length-n.length].length-n[0].length:this.yylloc.first_column-e},this.options.ranges&&(this.yylloc.range=[r[0],r[0]+this.yyleng-e]),this.yyleng=this.yytext.length,this},more:function(){return this._more=!0,this},reject:function(){return this.options.backtrack_lexer?(this._backtrack=!0,this):this.parseError("Lexical error on line "+(this.yylineno+1)+". 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p=0;return(t=>m(t,t.children()))(e).forEach((function(t){const n=e.node(t);o.l.info("Position "+t+": "+JSON.stringify(e.node(t))),o.l.info("Position "+t+": ("+n.x,","+n.y,") width: ",n.width," height: ",n.height),n&&n.clusterNode?(0,a.p)(n):e.children(t).length>0?(((t,e)=>{o.l.trace("Inserting cluster");const n=e.shape||"rect";x[e.id]=v[n](t,e)})(h,n),l[n.id].node=n):(0,a.p)(n)})),e.edges().forEach((function(t){const i=e.edge(t);o.l.info("Edge "+t.v+" -> "+t.w+": "+JSON.stringify(i),i);const r=(0,a.g)(f,t,i,l,n,e);(0,a.h)(i,r)})),e.nodes().forEach((function(t){const n=e.node(t);o.l.info(t,n.type,n.diff),"group"===n.type&&(p=n.diff)})),{elem:u,diff:p}},_=async(t,e,n,i,s)=>{(0,a.a)(t,n,i,s),(0,a.b)(),(0,a.d)(),x={},h={},f={},l={},o.l.warn("Graph at first:",r.c(e)),((t,e)=>{!t||e>10?o.l.debug("Opting out, no graph "):(o.l.debug("Opting in, graph "),t.nodes().forEach((function(e){t.children(e).length>0&&(o.l.warn("Cluster identified",e," Replacement id in edges: 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this.yy=e||this.yy||{},this._input=t,this._more=this._backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match="",this.conditionStack=["INITIAL"],this.yylloc={first_line:1,first_column:0,last_line:1,last_column:0},this.options.ranges&&(this.yylloc.range=[0,0]),this.offset=0,this},input:function(){var t=this._input[0];return this.yytext+=t,this.yyleng++,this.offset++,this.match+=t,this.matched+=t,t.match(/(?:\r\n?|\n).*/g)?(this.yylineno++,this.yylloc.last_line++):this.yylloc.last_column++,this.options.ranges&&this.yylloc.range[1]++,this._input=this._input.slice(1),t},unput:function(t){var e=t.length,n=t.split(/(?:\r\n?|\n)/g);this._input=t+this._input,this.yytext=this.yytext.substr(0,this.yytext.length-e),this.offset-=e;var i=this.match.split(/(?:\r\n?|\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),n.length-1&&(this.yylineno-=n.length-1);var r=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:n?(n.length===i.length?this.yylloc.first_column:0)+i[i.length-n.length].length-n[0].length:this.yylloc.first_column-e},this.options.ranges&&(this.yylloc.range=[r[0],r[0]+this.yyleng-e]),this.yyleng=this.yytext.length,this},more:function(){return this._more=!0,this},reject:function(){return this.options.backtrack_lexer?(this._backtrack=!0,this):this.parseError("Lexical error on line "+(this.yylineno+1)+". 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this.yy)Object.prototype.hasOwnProperty.call(this.yy,p)&&(g.yy[p]=this.yy[p]);d.setInput(t,g.yy),g.yy.lexer=d,g.yy.parser=this,void 0===d.yylloc&&(d.yylloc={});var b=d.yylloc;a.push(b);var w=d.options&&d.options.ranges;function y(){var t;return"number"!=typeof(t=i.pop()||d.lex()||h)&&(t instanceof Array&&(t=(i=t).pop()),t=e.symbols_[t]||t),t}"function"==typeof g.yy.parseError?this.parseError=g.yy.parseError:this.parseError=Object.getPrototypeOf(this).parseError;for(var m,v,x,k,_,E,T,C,S={};;){if(v=n[n.length-1],this.defaultActions[v]?x=this.defaultActions[v]:(null==m&&(m=y()),x=o[v]&&o[v][m]),void 0===x||!x.length||!x[0]){var A="";for(_ in C=[],o[v])this.terminals_[_]&&_>l&&C.push("'"+this.terminals_[_]+"'");A=d.showPosition?"Parse error on line "+(c+1)+":\n"+d.showPosition()+"\nExpecting "+C.join(", ")+", got '"+(this.terminals_[m]||m)+"'":"Parse error on line "+(c+1)+": Unexpected "+(m==h?"end of 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t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScale"+t]=(0,g.Z)(this["cScale"+t],10),this["cScalePeer"+t]=this["cScalePeer"+t]||(0,g.Z)(this["cScale"+t],25);for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScaleInv"+t]=this["cScaleInv"+t]||l(this["cScale"+t],{h:180});for(let t=0;t<5;t++)this["surface"+t]=this["surface"+t]||l(this.mainBkg,{h:30,l:-(5+5*t)}),this["surfacePeer"+t]=this["surfacePeer"+t]||l(this.mainBkg,{h:30,l:-(7+5*t)});if(this.scaleLabelColor="calculated"!==this.scaleLabelColor&&this.scaleLabelColor?this.scaleLabelColor:this.labelTextColor,"calculated"!==this.labelTextColor){this.cScaleLabel0=this.cScaleLabel0||d(this.labelTextColor),this.cScaleLabel3=this.cScaleLabel3||d(this.labelTextColor);for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScaleLabel"+t]=this["cScaleLabel"+t]||this.labelTextColor}this.nodeBkg=this.mainBkg,this.nodeBorder=this.border1,this.clusterBkg=this.secondBkg,this.clusterBorder=this.border2,this.defaultLinkColor=this.lineColor,this.titleColor=this.textColor,this.edgeLabelBackground=this.labelBackground,this.actorBorder=(0,p.Z)(this.border1,23),this.actorBkg=this.mainBkg,this.labelBoxBkgColor=this.actorBkg,this.signalColor=this.textColor,this.signalTextColor=this.textColor,this.labelBoxBorderColor=this.actorBorder,this.labelTextColor=this.actorTextColor,this.loopTextColor=this.actorTextColor,this.noteBorderColor=this.border2,this.noteTextColor=this.actorTextColor,this.taskTextColor=this.taskTextLightColor,this.taskTextOutsideColor=this.taskTextDarkColor,this.transitionColor=this.transitionColor||this.lineColor,this.transitionLabelColor=this.transitionLabelColor||this.textColor,this.stateLabelColor=this.stateLabelColor||this.stateBkg||this.primaryTextColor,this.stateBkg=this.stateBkg||this.mainBkg,this.labelBackgroundColor=this.labelBackgroundColor||this.stateBkg,this.compositeBackground=this.compositeBackground||this.background||this.tertiaryColor,this.altBackground=this.altBackground||"#f0f0f0",this.compositeTitleBackground=this.compositeTitleBackground||this.mainBkg,this.compositeBorder=this.compositeBorder||this.nodeBorder,this.innerEndBackground=this.nodeBorder,this.specialStateColor=this.lineColor,this.errorBkgColor=this.errorBkgColor||this.tertiaryColor,this.errorTextColor=this.errorTextColor||this.tertiaryTextColor,this.transitionColor=this.transitionColor||this.lineColor,this.classText=this.primaryTextColor,this.fillType0=this.primaryColor,this.fillType1=this.secondaryColor,this.fillType2=l(this.primaryColor,{h:64}),this.fillType3=l(this.secondaryColor,{h:64}),this.fillType4=l(this.primaryColor,{h:-64}),this.fillType5=l(this.secondaryColor,{h:-64}),this.fillType6=l(this.primaryColor,{h:128}),this.fillType7=l(this.secondaryColor,{h:128}),this.pie1=this.pie1||this.primaryColor,this.pie2=this.pie2||this.secondaryColor,this.pie3=this.pie3||l(this.tertiaryColor,{l:-40}),this.pie4=this.pie4||l(this.primaryColor,{l:-10}),this.pie5=this.pie5||l(this.secondaryColor,{l:-30}),this.pie6=this.pie6||l(this.tertiaryColor,{l:-20}),this.pie7=this.pie7||l(this.primaryColor,{h:60,l:-20}),this.pie8=this.pie8||l(this.primaryColor,{h:-60,l:-40}),this.pie9=this.pie9||l(this.primaryColor,{h:120,l:-40}),this.pie10=this.pie10||l(this.primaryColor,{h:60,l:-40}),this.pie11=this.pie11||l(this.primaryColor,{h:-90,l:-40}),this.pie12=this.pie12||l(this.primaryColor,{h:120,l:-30}),this.pieTitleTextSize=this.pieTitleTextSize||"25px",this.pieTitleTextColor=this.pieTitleTextColor||this.taskTextDarkColor,this.pieSectionTextSize=this.pieSectionTextSize||"17px",this.pieSectionTextColor=this.pieSectionTextColor||this.textColor,this.pieLegendTextSize=this.pieLegendTextSize||"17px",this.pieLegendTextColor=this.pieLegendTextColor||this.taskTextDarkColor,this.pieStrokeColor=this.pieStrokeColor||"black",this.pieStrokeWidth=this.pieStrokeWidth||"2px",this.pieOuterStrokeWidth=this.pieOuterStrokeWidth||"2px",this.pieOuterStrokeColor=this.pieOuterStrokeColor||"black",this.pieOpacity=this.pieOpacity||"0.7",this.quadrant1Fill=this.quadrant1Fill||this.primaryColor,this.quadrant2Fill=this.quadrant2Fill||l(this.primaryColor,{r:5,g:5,b:5}),this.quadrant3Fill=this.quadrant3Fill||l(this.primaryColor,{r:10,g:10,b:10}),this.quadrant4Fill=this.quadrant4Fill||l(this.primaryColor,{r:15,g:15,b:15}),this.quadrant1TextFill=this.quadrant1TextFill||this.primaryTextColor,this.quadrant2TextFill=this.quadrant2TextFill||l(this.primaryTextColor,{r:-5,g:-5,b:-5}),this.quadrant3TextFill=this.quadrant3TextFill||l(this.primaryTextColor,{r:-10,g:-10,b:-10}),this.quadrant4TextFill=this.quadrant4TextFill||l(this.primaryTextColor,{r:-15,g:-15,b:-15}),this.quadrantPointFill=this.quadrantPointFill||(0,b.Z)(this.quadrant1Fill)?(0,p.Z)(this.quadrant1Fill):(0,g.Z)(this.quadrant1Fill),this.quadrantPointTextFill=this.quadrantPointTextFill||this.primaryTextColor,this.quadrantXAxisTextFill=this.quadrantXAxisTextFill||this.primaryTextColor,this.quadrantYAxisTextFill=this.quadrantYAxisTextFill||this.primaryTextColor,this.quadrantInternalBorderStrokeFill=this.quadrantInternalBorderStrokeFill||this.primaryBorderColor,this.quadrantExternalBorderStrokeFill=this.quadrantExternalBorderStrokeFill||this.primaryBorderColor,this.quadrantTitleFill=this.quadrantTitleFill||this.primaryTextColor,this.requirementBackground=this.requirementBackground||this.primaryColor,this.requirementBorderColor=this.requirementBorderColor||this.primaryBorderColor,this.requirementBorderSize=this.requirementBorderSize||"1",this.requirementTextColor=this.requirementTextColor||this.primaryTextColor,this.relationColor=this.relationColor||this.lineColor,this.relationLabelBackground=this.relationLabelBackground||this.labelBackground,this.relationLabelColor=this.relationLabelColor||this.actorTextColor,this.git0=this.git0||this.primaryColor,this.git1=this.git1||this.secondaryColor,this.git2=this.git2||this.tertiaryColor,this.git3=this.git3||l(this.primaryColor,{h:-30}),this.git4=this.git4||l(this.primaryColor,{h:-60}),this.git5=this.git5||l(this.primaryColor,{h:-90}),this.git6=this.git6||l(this.primaryColor,{h:60}),this.git7=this.git7||l(this.primaryColor,{h:120}),this.darkMode?(this.git0=(0,p.Z)(this.git0,25),this.git1=(0,p.Z)(this.git1,25),this.git2=(0,p.Z)(this.git2,25),this.git3=(0,p.Z)(this.git3,25),this.git4=(0,p.Z)(this.git4,25),this.git5=(0,p.Z)(this.git5,25),this.git6=(0,p.Z)(this.git6,25),this.git7=(0,p.Z)(this.git7,25)):(this.git0=(0,g.Z)(this.git0,25),this.git1=(0,g.Z)(this.git1,25),this.git2=(0,g.Z)(this.git2,25),this.git3=(0,g.Z)(this.git3,25),this.git4=(0,g.Z)(this.git4,25),this.git5=(0,g.Z)(this.git5,25),this.git6=(0,g.Z)(this.git6,25),this.git7=(0,g.Z)(this.git7,25)),this.gitInv0=this.gitInv0||(0,g.Z)(d(this.git0),25),this.gitInv1=this.gitInv1||d(this.git1),this.gitInv2=this.gitInv2||d(this.git2),this.gitInv3=this.gitInv3||d(this.git3),this.gitInv4=this.gitInv4||d(this.git4),this.gitInv5=this.gitInv5||d(this.git5),this.gitInv6=this.gitInv6||d(this.git6),this.gitInv7=this.gitInv7||d(this.git7),this.gitBranchLabel0=this.gitBranchLabel0||d(this.labelTextColor),this.gitBranchLabel1=this.gitBranchLabel1||this.labelTextColor,this.gitBranchLabel2=this.gitBranchLabel2||this.labelTextColor,this.gitBranchLabel3=this.gitBranchLabel3||d(this.labelTextColor),this.gitBranchLabel4=this.gitBranchLabel4||this.labelTextColor,this.gitBranchLabel5=this.gitBranchLabel5||this.labelTextColor,this.gitBranchLabel6=this.gitBranchLabel6||this.labelTextColor,this.gitBranchLabel7=this.gitBranchLabel7||this.labelTextColor,this.tagLabelColor=this.tagLabelColor||this.primaryTextColor,this.tagLabelBackground=this.tagLabelBackground||this.primaryColor,this.tagLabelBorder=this.tagBorder||this.primaryBorderColor,this.tagLabelFontSize=this.tagLabelFontSize||"10px",this.commitLabelColor=this.commitLabelColor||this.secondaryTextColor,this.commitLabelBackground=this.commitLabelBackground||this.secondaryColor,this.commitLabelFontSize=this.commitLabelFontSize||"10px",this.attributeBackgroundColorOdd=this.attributeBackgroundColorOdd||xt,this.attributeBackgroundColorEven=this.attributeBackgroundColorEven||kt}calculate(t){if("object"!=typeof t)return void this.updateColors();const e=Object.keys(t);e.forEach((e=>{this[e]=t[e]})),this.updateColors(),e.forEach((e=>{this[e]=t[e]}))}};return e.calculate(t),e};class Et{constructor(){this.primaryColor="#eee",this.contrast="#707070",this.secondaryColor=(0,p.Z)(this.contrast,55),this.background="#ffffff",this.tertiaryColor=l(this.primaryColor,{h:-160}),this.primaryBorderColor=vt(this.primaryColor,this.darkMode),this.secondaryBorderColor=vt(this.secondaryColor,this.darkMode),this.tertiaryBorderColor=vt(this.tertiaryColor,this.darkMode),this.primaryTextColor=d(this.primaryColor),this.secondaryTextColor=d(this.secondaryColor),this.tertiaryTextColor=d(this.tertiaryColor),this.lineColor=d(this.background),this.textColor=d(this.background),this.mainBkg="#eee",this.secondBkg="calculated",this.lineColor="#666",this.border1="#999",this.border2="calculated",this.note="#ffa",this.text="#333",this.critical="#d42",this.done="#bbb",this.arrowheadColor="#333333",this.fontFamily='"trebuchet ms", verdana, arial, sans-serif',this.fontSize="16px",this.THEME_COLOR_LIMIT=12,this.nodeBkg="calculated",this.nodeBorder="calculated",this.clusterBkg="calculated",this.clusterBorder="calculated",this.defaultLinkColor="calculated",this.titleColor="calculated",this.edgeLabelBackground="white",this.actorBorder="calculated",this.actorBkg="calculated",this.actorTextColor="calculated",this.actorLineColor="calculated",this.signalColor="calculated",this.signalTextColor="calculated",this.labelBoxBkgColor="calculated",this.labelBoxBorderColor="calculated",this.labelTextColor="calculated",this.loopTextColor="calculated",this.noteBorderColor="calculated",this.noteBkgColor="calculated",this.noteTextColor="calculated",this.activationBorderColor="#666",this.activationBkgColor="#f4f4f4",this.sequenceNumberColor="white",this.sectionBkgColor="calculated",this.altSectionBkgColor="white",this.sectionBkgColor2="calculated",this.excludeBkgColor="#eeeeee",this.taskBorderColor="calculated",this.taskBkgColor="calculated",this.taskTextLightColor="white",this.taskTextColor="calculated",this.taskTextDarkColor="calculated",this.taskTextOutsideColor="calculated",this.taskTextClickableColor="#003163",this.activeTaskBorderColor="calculated",this.activeTaskBkgColor="calculated",this.gridColor="calculated",this.doneTaskBkgColor="calculated",this.doneTaskBorderColor="calculated",this.critBkgColor="calculated",this.critBorderColor="calculated",this.todayLineColor="calculated",this.personBorder=this.primaryBorderColor,this.personBkg=this.mainBkg,this.labelColor="black",this.errorBkgColor="#552222",this.errorTextColor="#552222"}updateColors(){this.secondBkg=(0,p.Z)(this.contrast,55),this.border2=this.contrast,this.actorBorder=(0,p.Z)(this.border1,23),this.actorBkg=this.mainBkg,this.actorTextColor=this.text,this.actorLineColor=this.lineColor,this.signalColor=this.text,this.signalTextColor=this.text,this.labelBoxBkgColor=this.actorBkg,this.labelBoxBorderColor=this.actorBorder,this.labelTextColor=this.text,this.loopTextColor=this.text,this.noteBorderColor="#999",this.noteBkgColor="#666",this.noteTextColor="#fff",this.cScale0=this.cScale0||"#555",this.cScale1=this.cScale1||"#F4F4F4",this.cScale2=this.cScale2||"#555",this.cScale3=this.cScale3||"#BBB",this.cScale4=this.cScale4||"#777",this.cScale5=this.cScale5||"#999",this.cScale6=this.cScale6||"#DDD",this.cScale7=this.cScale7||"#FFF",this.cScale8=this.cScale8||"#DDD",this.cScale9=this.cScale9||"#BBB",this.cScale10=this.cScale10||"#999",this.cScale11=this.cScale11||"#777";for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScaleInv"+t]=this["cScaleInv"+t]||d(this["cScale"+t]);for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this.darkMode?this["cScalePeer"+t]=this["cScalePeer"+t]||(0,p.Z)(this["cScale"+t],10):this["cScalePeer"+t]=this["cScalePeer"+t]||(0,g.Z)(this["cScale"+t],10);this.scaleLabelColor=this.scaleLabelColor||(this.darkMode?"black":this.labelTextColor),this.cScaleLabel0=this.cScaleLabel0||this.cScale1,this.cScaleLabel2=this.cScaleLabel2||this.cScale1;for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScaleLabel"+t]=this["cScaleLabel"+t]||this.scaleLabelColor;for(let t=0;t<5;t++)this["surface"+t]=this["surface"+t]||l(this.mainBkg,{l:-(5+5*t)}),this["surfacePeer"+t]=this["surfacePeer"+t]||l(this.mainBkg,{l:-(8+5*t)});this.nodeBkg=this.mainBkg,this.nodeBorder=this.border1,this.clusterBkg=this.secondBkg,this.clusterBorder=this.border2,this.defaultLinkColor=this.lineColor,this.titleColor=this.text,this.sectionBkgColor=(0,p.Z)(this.contrast,30),this.sectionBkgColor2=(0,p.Z)(this.contrast,30),this.taskBorderColor=(0,g.Z)(this.contrast,10),this.taskBkgColor=this.contrast,this.taskTextColor=this.taskTextLightColor,this.taskTextDarkColor=this.text,this.taskTextOutsideColor=this.taskTextDarkColor,this.activeTaskBorderColor=this.taskBorderColor,this.activeTaskBkgColor=this.mainBkg,this.gridColor=(0,p.Z)(this.border1,30),this.doneTaskBkgColor=this.done,this.doneTaskBorderColor=this.lineColor,this.critBkgColor=this.critical,this.critBorderColor=(0,g.Z)(this.critBkgColor,10),this.todayLineColor=this.critBkgColor,this.transitionColor=this.transitionColor||"#000",this.transitionLabelColor=this.transitionLabelColor||this.textColor,this.stateLabelColor=this.stateLabelColor||this.stateBkg||this.primaryTextColor,this.stateBkg=this.stateBkg||this.mainBkg,this.labelBackgroundColor=this.labelBackgroundColor||this.stateBkg,this.compositeBackground=this.compositeBackground||this.background||this.tertiaryColor,this.altBackground=this.altBackground||"#f4f4f4",this.compositeTitleBackground=this.compositeTitleBackground||this.mainBkg,this.stateBorder=this.stateBorder||"#000",this.innerEndBackground=this.primaryBorderColor,this.specialStateColor="#222",this.errorBkgColor=this.errorBkgColor||this.tertiaryColor,this.errorTextColor=this.errorTextColor||this.tertiaryTextColor,this.classText=this.primaryTextColor,this.fillType0=this.primaryColor,this.fillType1=this.secondaryColor,this.fillType2=l(this.primaryColor,{h:64}),this.fillType3=l(this.secondaryColor,{h:64}),this.fillType4=l(this.primaryColor,{h:-64}),this.fillType5=l(this.secondaryColor,{h:-64}),this.fillType6=l(this.primaryColor,{h:128}),this.fillType7=l(this.secondaryColor,{h:128});for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["pie"+t]=this["cScale"+t];this.pie12=this.pie0,this.pieTitleTextSize=this.pieTitleTextSize||"25px",this.pieTitleTextColor=this.pieTitleTextColor||this.taskTextDarkColor,this.pieSectionTextSize=this.pieSectionTextSize||"17px",this.pieSectionTextColor=this.pieSectionTextColor||this.textColor,this.pieLegendTextSize=this.pieLegendTextSize||"17px",this.pieLegendTextColor=this.pieLegendTextColor||this.taskTextDarkColor,this.pieStrokeColor=this.pieStrokeColor||"black",this.pieStrokeWidth=this.pieStrokeWidth||"2px",this.pieOuterStrokeWidth=this.pieOuterStrokeWidth||"2px",this.pieOuterStrokeColor=this.pieOuterStrokeColor||"black",this.pieOpacity=this.pieOpacity||"0.7",this.quadrant1Fill=this.quadrant1Fill||this.primaryColor,this.quadrant2Fill=this.quadrant2Fill||l(this.primaryColor,{r:5,g:5,b:5}),this.quadrant3Fill=this.quadrant3Fill||l(this.primaryColor,{r:10,g:10,b:10}),this.quadrant4Fill=this.quadrant4Fill||l(this.primaryColor,{r:15,g:15,b:15}),this.quadrant1TextFill=this.quadrant1TextFill||this.primaryTextColor,this.quadrant2TextFill=this.quadrant2TextFill||l(this.primaryTextColor,{r:-5,g:-5,b:-5}),this.quadrant3TextFill=this.quadrant3TextFill||l(this.primaryTextColor,{r:-10,g:-10,b:-10}),this.quadrant4TextFill=this.quadrant4TextFill||l(this.primaryTextColor,{r:-15,g:-15,b:-15}),this.quadrantPointFill=this.quadrantPointFill||(0,b.Z)(this.quadrant1Fill)?(0,p.Z)(this.quadrant1Fill):(0,g.Z)(this.quadrant1Fill),this.quadrantPointTextFill=this.quadrantPointTextFill||this.primaryTextColor,this.quadrantXAxisTextFill=this.quadrantXAxisTextFill||this.primaryTextColor,this.quadrantYAxisTextFill=this.quadrantYAxisTextFill||this.primaryTextColor,this.quadrantInternalBorderStrokeFill=this.quadrantInternalBorderStrokeFill||this.primaryBorderColor,this.quadrantExternalBorderStrokeFill=this.quadrantExternalBorderStrokeFill||this.primaryBorderColor,this.quadrantTitleFill=this.quadrantTitleFill||this.primaryTextColor,this.requirementBackground=this.requirementBackground||this.primaryColor,this.requirementBorderColor=this.requirementBorderColor||this.primaryBorderColor,this.requirementBorderSize=this.requirementBorderSize||"1",this.requirementTextColor=this.requirementTextColor||this.primaryTextColor,this.relationColor=this.relationColor||this.lineColor,this.relationLabelBackground=this.relationLabelBackground||this.edgeLabelBackground,this.relationLabelColor=this.relationLabelColor||this.actorTextColor,this.git0=(0,g.Z)(this.pie1,25)||this.primaryColor,this.git1=this.pie2||this.secondaryColor,this.git2=this.pie3||this.tertiaryColor,this.git3=this.pie4||l(this.primaryColor,{h:-30}),this.git4=this.pie5||l(this.primaryColor,{h:-60}),this.git5=this.pie6||l(this.primaryColor,{h:-90}),this.git6=this.pie7||l(this.primaryColor,{h:60}),this.git7=this.pie8||l(this.primaryColor,{h:120}),this.gitInv0=this.gitInv0||d(this.git0),this.gitInv1=this.gitInv1||d(this.git1),this.gitInv2=this.gitInv2||d(this.git2),this.gitInv3=this.gitInv3||d(this.git3),this.gitInv4=this.gitInv4||d(this.git4),this.gitInv5=this.gitInv5||d(this.git5),this.gitInv6=this.gitInv6||d(this.git6),this.gitInv7=this.gitInv7||d(this.git7),this.branchLabelColor=this.branchLabelColor||this.labelTextColor,this.gitBranchLabel0=this.branchLabelColor,this.gitBranchLabel1="white",this.gitBranchLabel2=this.branchLabelColor,this.gitBranchLabel3="white",this.gitBranchLabel4=this.branchLabelColor,this.gitBranchLabel5=this.branchLabelColor,this.gitBranchLabel6=this.branchLabelColor,this.gitBranchLabel7=this.branchLabelColor,this.tagLabelColor=this.tagLabelColor||this.primaryTextColor,this.tagLabelBackground=this.tagLabelBackground||this.primaryColor,this.tagLabelBorder=this.tagBorder||this.primaryBorderColor,this.tagLabelFontSize=this.tagLabelFontSize||"10px",this.commitLabelColor=this.commitLabelColor||this.secondaryTextColor,this.commitLabelBackground=this.commitLabelBackground||this.secondaryColor,this.commitLabelFontSize=this.commitLabelFontSize||"10px",this.attributeBackgroundColorOdd=this.attributeBackgroundColorOdd||xt,this.attributeBackgroundColorEven=this.attributeBackgroundColorEven||kt}calculate(t){if("object"!=typeof t)return void this.updateColors();const e=Object.keys(t);e.forEach((e=>{this[e]=t[e]})),this.updateColors(),e.forEach((e=>{this[e]=t[e]}))}}const Tt={base:{getThemeVariables:t=>{const e=new class{constructor(){this.background="#f4f4f4",this.primaryColor="#fff4dd",this.noteBkgColor="#fff5ad",this.noteTextColor="#333",this.THEME_COLOR_LIMIT=12,this.fontFamily='"trebuchet ms", verdana, arial, sans-serif',this.fontSize="16px"}updateColors(){if(this.primaryTextColor=this.primaryTextColor||(this.darkMode?"#eee":"#333"),this.secondaryColor=this.secondaryColor||l(this.primaryColor,{h:-120}),this.tertiaryColor=this.tertiaryColor||l(this.primaryColor,{h:180,l:5}),this.primaryBorderColor=this.primaryBorderColor||vt(this.primaryColor,this.darkMode),this.secondaryBorderColor=this.secondaryBorderColor||vt(this.secondaryColor,this.darkMode),this.tertiaryBorderColor=this.tertiaryBorderColor||vt(this.tertiaryColor,this.darkMode),this.noteBorderColor=this.noteBorderColor||vt(this.noteBkgColor,this.darkMode),this.noteBkgColor=this.noteBkgColor||"#fff5ad",this.noteTextColor=this.noteTextColor||"#333",this.secondaryTextColor=this.secondaryTextColor||d(this.secondaryColor),this.tertiaryTextColor=this.tertiaryTextColor||d(this.tertiaryColor),this.lineColor=this.lineColor||d(this.background),this.arrowheadColor=this.arrowheadColor||d(this.background),this.textColor=this.textColor||this.primaryTextColor,this.border2=this.border2||this.tertiaryBorderColor,this.nodeBkg=this.nodeBkg||this.primaryColor,this.mainBkg=this.mainBkg||this.primaryColor,this.nodeBorder=this.nodeBorder||this.primaryBorderColor,this.clusterBkg=this.clusterBkg||this.tertiaryColor,this.clusterBorder=this.clusterBorder||this.tertiaryBorderColor,this.defaultLinkColor=this.defaultLinkColor||this.lineColor,this.titleColor=this.titleColor||this.tertiaryTextColor,this.edgeLabelBackground=this.edgeLabelBackground||(this.darkMode?(0,g.Z)(this.secondaryColor,30):this.secondaryColor),this.nodeTextColor=this.nodeTextColor||this.primaryTextColor,this.actorBorder=this.actorBorder||this.primaryBorderColor,this.actorBkg=this.actorBkg||this.mainBkg,this.actorTextColor=this.actorTextColor||this.primaryTextColor,this.actorLineColor=this.actorLineColor||"grey",this.labelBoxBkgColor=this.labelBoxBkgColor||this.actorBkg,this.signalColor=this.signalColor||this.textColor,this.signalTextColor=this.signalTextColor||this.textColor,this.labelBoxBorderColor=this.labelBoxBorderColor||this.actorBorder,this.labelTextColor=this.labelTextColor||this.actorTextColor,this.loopTextColor=this.loopTextColor||this.actorTextColor,this.activationBorderColor=this.activationBorderColor||(0,g.Z)(this.secondaryColor,10),this.activationBkgColor=this.activationBkgColor||this.secondaryColor,this.sequenceNumberColor=this.sequenceNumberColor||d(this.lineColor),this.sectionBkgColor=this.sectionBkgColor||this.tertiaryColor,this.altSectionBkgColor=this.altSectionBkgColor||"white",this.sectionBkgColor=this.sectionBkgColor||this.secondaryColor,this.sectionBkgColor2=this.sectionBkgColor2||this.primaryColor,this.excludeBkgColor=this.excludeBkgColor||"#eeeeee",this.taskBorderColor=this.taskBorderColor||this.primaryBorderColor,this.taskBkgColor=this.taskBkgColor||this.primaryColor,this.activeTaskBorderColor=this.activeTaskBorderColor||this.primaryColor,this.activeTaskBkgColor=this.activeTaskBkgColor||(0,p.Z)(this.primaryColor,23),this.gridColor=this.gridColor||"lightgrey",this.doneTaskBkgColor=this.doneTaskBkgColor||"lightgrey",this.doneTaskBorderColor=this.doneTaskBorderColor||"grey",this.critBorderColor=this.critBorderColor||"#ff8888",this.critBkgColor=this.critBkgColor||"red",this.todayLineColor=this.todayLineColor||"red",this.taskTextColor=this.taskTextColor||this.textColor,this.taskTextOutsideColor=this.taskTextOutsideColor||this.textColor,this.taskTextLightColor=this.taskTextLightColor||this.textColor,this.taskTextColor=this.taskTextColor||this.primaryTextColor,this.taskTextDarkColor=this.taskTextDarkColor||this.textColor,this.taskTextClickableColor=this.taskTextClickableColor||"#003163",this.personBorder=this.personBorder||this.primaryBorderColor,this.personBkg=this.personBkg||this.mainBkg,this.transitionColor=this.transitionColor||this.lineColor,this.transitionLabelColor=this.transitionLabelColor||this.textColor,this.stateLabelColor=this.stateLabelColor||this.stateBkg||this.primaryTextColor,this.stateBkg=this.stateBkg||this.mainBkg,this.labelBackgroundColor=this.labelBackgroundColor||this.stateBkg,this.compositeBackground=this.compositeBackground||this.background||this.tertiaryColor,this.altBackground=this.altBackground||this.tertiaryColor,this.compositeTitleBackground=this.compositeTitleBackground||this.mainBkg,this.compositeBorder=this.compositeBorder||this.nodeBorder,this.innerEndBackground=this.nodeBorder,this.errorBkgColor=this.errorBkgColor||this.tertiaryColor,this.errorTextColor=this.errorTextColor||this.tertiaryTextColor,this.transitionColor=this.transitionColor||this.lineColor,this.specialStateColor=this.lineColor,this.cScale0=this.cScale0||this.primaryColor,this.cScale1=this.cScale1||this.secondaryColor,this.cScale2=this.cScale2||this.tertiaryColor,this.cScale3=this.cScale3||l(this.primaryColor,{h:30}),this.cScale4=this.cScale4||l(this.primaryColor,{h:60}),this.cScale5=this.cScale5||l(this.primaryColor,{h:90}),this.cScale6=this.cScale6||l(this.primaryColor,{h:120}),this.cScale7=this.cScale7||l(this.primaryColor,{h:150}),this.cScale8=this.cScale8||l(this.primaryColor,{h:210,l:150}),this.cScale9=this.cScale9||l(this.primaryColor,{h:270}),this.cScale10=this.cScale10||l(this.primaryColor,{h:300}),this.cScale11=this.cScale11||l(this.primaryColor,{h:330}),this.darkMode)for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScale"+t]=(0,g.Z)(this["cScale"+t],75);else for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScale"+t]=(0,g.Z)(this["cScale"+t],25);for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScaleInv"+t]=this["cScaleInv"+t]||d(this["cScale"+t]);for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this.darkMode?this["cScalePeer"+t]=this["cScalePeer"+t]||(0,p.Z)(this["cScale"+t],10):this["cScalePeer"+t]=this["cScalePeer"+t]||(0,g.Z)(this["cScale"+t],10);this.scaleLabelColor=this.scaleLabelColor||this.labelTextColor;for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScaleLabel"+t]=this["cScaleLabel"+t]||this.scaleLabelColor;const t=this.darkMode?-4:-1;for(let e=0;e<5;e++)this["surface"+e]=this["surface"+e]||l(this.mainBkg,{h:180,s:-15,l:t*(5+3*e)}),this["surfacePeer"+e]=this["surfacePeer"+e]||l(this.mainBkg,{h:180,s:-15,l:t*(8+3*e)});this.classText=this.classText||this.textColor,this.fillType0=this.fillType0||this.primaryColor,this.fillType1=this.fillType1||this.secondaryColor,this.fillType2=this.fillType2||l(this.primaryColor,{h:64}),this.fillType3=this.fillType3||l(this.secondaryColor,{h:64}),this.fillType4=this.fillType4||l(this.primaryColor,{h:-64}),this.fillType5=this.fillType5||l(this.secondaryColor,{h:-64}),this.fillType6=this.fillType6||l(this.primaryColor,{h:128}),this.fillType7=this.fillType7||l(this.secondaryColor,{h:128}),this.pie1=this.pie1||this.primaryColor,this.pie2=this.pie2||this.secondaryColor,this.pie3=this.pie3||this.tertiaryColor,this.pie4=this.pie4||l(this.primaryColor,{l:-10}),this.pie5=this.pie5||l(this.secondaryColor,{l:-10}),this.pie6=this.pie6||l(this.tertiaryColor,{l:-10}),this.pie7=this.pie7||l(this.primaryColor,{h:60,l:-10}),this.pie8=this.pie8||l(this.primaryColor,{h:-60,l:-10}),this.pie9=this.pie9||l(this.primaryColor,{h:120,l:0}),this.pie10=this.pie10||l(this.primaryColor,{h:60,l:-20}),this.pie11=this.pie11||l(this.primaryColor,{h:-60,l:-20}),this.pie12=this.pie12||l(this.primaryColor,{h:120,l:-10}),this.pieTitleTextSize=this.pieTitleTextSize||"25px",this.pieTitleTextColor=this.pieTitleTextColor||this.taskTextDarkColor,this.pieSectionTextSize=this.pieSectionTextSize||"17px",this.pieSectionTextColor=this.pieSectionTextColor||this.textColor,this.pieLegendTextSize=this.pieLegendTextSize||"17px",this.pieLegendTextColor=this.pieLegendTextColor||this.taskTextDarkColor,this.pieStrokeColor=this.pieStrokeColor||"black",this.pieStrokeWidth=this.pieStrokeWidth||"2px",this.pieOuterStrokeWidth=this.pieOuterStrokeWidth||"2px",this.pieOuterStrokeColor=this.pieOuterStrokeColor||"black",this.pieOpacity=this.pieOpacity||"0.7",this.quadrant1Fill=this.quadrant1Fill||this.primaryColor,this.quadrant2Fill=this.quadrant2Fill||l(this.primaryColor,{r:5,g:5,b:5}),this.quadrant3Fill=this.quadrant3Fill||l(this.primaryColor,{r:10,g:10,b:10}),this.quadrant4Fill=this.quadrant4Fill||l(this.primaryColor,{r:15,g:15,b:15}),this.quadrant1TextFill=this.quadrant1TextFill||this.primaryTextColor,this.quadrant2TextFill=this.quadrant2TextFill||l(this.primaryTextColor,{r:-5,g:-5,b:-5}),this.quadrant3TextFill=this.quadrant3TextFill||l(this.primaryTextColor,{r:-10,g:-10,b:-10}),this.quadrant4TextFill=this.quadrant4TextFill||l(this.primaryTextColor,{r:-15,g:-15,b:-15}),this.quadrantPointFill=this.quadrantPointFill||(0,b.Z)(this.quadrant1Fill)?(0,p.Z)(this.quadrant1Fill):(0,g.Z)(this.quadrant1Fill),this.quadrantPointTextFill=this.quadrantPointTextFill||this.primaryTextColor,this.quadrantXAxisTextFill=this.quadrantXAxisTextFill||this.primaryTextColor,this.quadrantYAxisTextFill=this.quadrantYAxisTextFill||this.primaryTextColor,this.quadrantInternalBorderStrokeFill=this.quadrantInternalBorderStrokeFill||this.primaryBorderColor,this.quadrantExternalBorderStrokeFill=this.quadrantExternalBorderStrokeFill||this.primaryBorderColor,this.quadrantTitleFill=this.quadrantTitleFill||this.primaryTextColor,this.requirementBackground=this.requirementBackground||this.primaryColor,this.requirementBorderColor=this.requirementBorderColor||this.primaryBorderColor,this.requirementBorderSize=this.requirementBorderSize||"1",this.requirementTextColor=this.requirementTextColor||this.primaryTextColor,this.relationColor=this.relationColor||this.lineColor,this.relationLabelBackground=this.relationLabelBackground||(this.darkMode?(0,g.Z)(this.secondaryColor,30):this.secondaryColor),this.relationLabelColor=this.relationLabelColor||this.actorTextColor,this.git0=this.git0||this.primaryColor,this.git1=this.git1||this.secondaryColor,this.git2=this.git2||this.tertiaryColor,this.git3=this.git3||l(this.primaryColor,{h:-30}),this.git4=this.git4||l(this.primaryColor,{h:-60}),this.git5=this.git5||l(this.primaryColor,{h:-90}),this.git6=this.git6||l(this.primaryColor,{h:60}),this.git7=this.git7||l(this.primaryColor,{h:120}),this.darkMode?(this.git0=(0,p.Z)(this.git0,25),this.git1=(0,p.Z)(this.git1,25),this.git2=(0,p.Z)(this.git2,25),this.git3=(0,p.Z)(this.git3,25),this.git4=(0,p.Z)(this.git4,25),this.git5=(0,p.Z)(this.git5,25),this.git6=(0,p.Z)(this.git6,25),this.git7=(0,p.Z)(this.git7,25)):(this.git0=(0,g.Z)(this.git0,25),this.git1=(0,g.Z)(this.git1,25),this.git2=(0,g.Z)(this.git2,25),this.git3=(0,g.Z)(this.git3,25),this.git4=(0,g.Z)(this.git4,25),this.git5=(0,g.Z)(this.git5,25),this.git6=(0,g.Z)(this.git6,25),this.git7=(0,g.Z)(this.git7,25)),this.gitInv0=this.gitInv0||d(this.git0),this.gitInv1=this.gitInv1||d(this.git1),this.gitInv2=this.gitInv2||d(this.git2),this.gitInv3=this.gitInv3||d(this.git3),this.gitInv4=this.gitInv4||d(this.git4),this.gitInv5=this.gitInv5||d(this.git5),this.gitInv6=this.gitInv6||d(this.git6),this.gitInv7=this.gitInv7||d(this.git7),this.branchLabelColor=this.branchLabelColor||(this.darkMode?"black":this.labelTextColor),this.gitBranchLabel0=this.gitBranchLabel0||this.branchLabelColor,this.gitBranchLabel1=this.gitBranchLabel1||this.branchLabelColor,this.gitBranchLabel2=this.gitBranchLabel2||this.branchLabelColor,this.gitBranchLabel3=this.gitBranchLabel3||this.branchLabelColor,this.gitBranchLabel4=this.gitBranchLabel4||this.branchLabelColor,this.gitBranchLabel5=this.gitBranchLabel5||this.branchLabelColor,this.gitBranchLabel6=this.gitBranchLabel6||this.branchLabelColor,this.gitBranchLabel7=this.gitBranchLabel7||this.branchLabelColor,this.tagLabelColor=this.tagLabelColor||this.primaryTextColor,this.tagLabelBackground=this.tagLabelBackground||this.primaryColor,this.tagLabelBorder=this.tagBorder||this.primaryBorderColor,this.tagLabelFontSize=this.tagLabelFontSize||"10px",this.commitLabelColor=this.commitLabelColor||this.secondaryTextColor,this.commitLabelBackground=this.commitLabelBackground||this.secondaryColor,this.commitLabelFontSize=this.commitLabelFontSize||"10px",this.attributeBackgroundColorOdd=this.attributeBackgroundColorOdd||xt,this.attributeBackgroundColorEven=this.attributeBackgroundColorEven||kt}calculate(t){if("object"!=typeof t)return void this.updateColors();const e=Object.keys(t);e.forEach((e=>{this[e]=t[e]})),this.updateColors(),e.forEach((e=>{this[e]=t[e]}))}};return e.calculate(t),e}},dark:{getThemeVariables:t=>{const e=new class{constructor(){this.background="#333",this.primaryColor="#1f2020",this.secondaryColor=(0,p.Z)(this.primaryColor,16),this.tertiaryColor=l(this.primaryColor,{h:-160}),this.primaryBorderColor=d(this.background),this.secondaryBorderColor=vt(this.secondaryColor,this.darkMode),this.tertiaryBorderColor=vt(this.tertiaryColor,this.darkMode),this.primaryTextColor=d(this.primaryColor),this.secondaryTextColor=d(this.secondaryColor),this.tertiaryTextColor=d(this.tertiaryColor),this.lineColor=d(this.background),this.textColor=d(this.background),this.mainBkg="#1f2020",this.secondBkg="calculated",this.mainContrastColor="lightgrey",this.darkTextColor=(0,p.Z)(d("#323D47"),10),this.lineColor="calculated",this.border1="#81B1DB",this.border2=(0,h.Z)(255,255,255,.25),this.arrowheadColor="calculated",this.fontFamily='"trebuchet ms", verdana, arial, sans-serif',this.fontSize="16px",this.labelBackground="#181818",this.textColor="#ccc",this.THEME_COLOR_LIMIT=12,this.nodeBkg="calculated",this.nodeBorder="calculated",this.clusterBkg="calculated",this.clusterBorder="calculated",this.defaultLinkColor="calculated",this.titleColor="#F9FFFE",this.edgeLabelBackground="calculated",this.actorBorder="calculated",this.actorBkg="calculated",this.actorTextColor="calculated",this.actorLineColor="calculated",this.signalColor="calculated",this.signalTextColor="calculated",this.labelBoxBkgColor="calculated",this.labelBoxBorderColor="calculated",this.labelTextColor="calculated",this.loopTextColor="calculated",this.noteBorderColor="calculated",this.noteBkgColor="#fff5ad",this.noteTextColor="calculated",this.activationBorderColor="calculated",this.activationBkgColor="calculated",this.sequenceNumberColor="black",this.sectionBkgColor=(0,g.Z)("#EAE8D9",30),this.altSectionBkgColor="calculated",this.sectionBkgColor2="#EAE8D9",this.excludeBkgColor=(0,g.Z)(this.sectionBkgColor,10),this.taskBorderColor=(0,h.Z)(255,255,255,70),this.taskBkgColor="calculated",this.taskTextColor="calculated",this.taskTextLightColor="calculated",this.taskTextOutsideColor="calculated",this.taskTextClickableColor="#003163",this.activeTaskBorderColor=(0,h.Z)(255,255,255,50),this.activeTaskBkgColor="#81B1DB",this.gridColor="calculated",this.doneTaskBkgColor="calculated",this.doneTaskBorderColor="grey",this.critBorderColor="#E83737",this.critBkgColor="#E83737",this.taskTextDarkColor="calculated",this.todayLineColor="#DB5757",this.personBorder=this.primaryBorderColor,this.personBkg=this.mainBkg,this.labelColor="calculated",this.errorBkgColor="#a44141",this.errorTextColor="#ddd"}updateColors(){this.secondBkg=(0,p.Z)(this.mainBkg,16),this.lineColor=this.mainContrastColor,this.arrowheadColor=this.mainContrastColor,this.nodeBkg=this.mainBkg,this.nodeBorder=this.border1,this.clusterBkg=this.secondBkg,this.clusterBorder=this.border2,this.defaultLinkColor=this.lineColor,this.edgeLabelBackground=(0,p.Z)(this.labelBackground,25),this.actorBorder=this.border1,this.actorBkg=this.mainBkg,this.actorTextColor=this.mainContrastColor,this.actorLineColor=this.mainContrastColor,this.signalColor=this.mainContrastColor,this.signalTextColor=this.mainContrastColor,this.labelBoxBkgColor=this.actorBkg,this.labelBoxBorderColor=this.actorBorder,this.labelTextColor=this.mainContrastColor,this.loopTextColor=this.mainContrastColor,this.noteBorderColor=this.secondaryBorderColor,this.noteBkgColor=this.secondBkg,this.noteTextColor=this.secondaryTextColor,this.activationBorderColor=this.border1,this.activationBkgColor=this.secondBkg,this.altSectionBkgColor=this.background,this.taskBkgColor=(0,p.Z)(this.mainBkg,23),this.taskTextColor=this.darkTextColor,this.taskTextLightColor=this.mainContrastColor,this.taskTextOutsideColor=this.taskTextLightColor,this.gridColor=this.mainContrastColor,this.doneTaskBkgColor=this.mainContrastColor,this.taskTextDarkColor=this.darkTextColor,this.transitionColor=this.transitionColor||this.lineColor,this.transitionLabelColor=this.transitionLabelColor||this.textColor,this.stateLabelColor=this.stateLabelColor||this.stateBkg||this.primaryTextColor,this.stateBkg=this.stateBkg||this.mainBkg,this.labelBackgroundColor=this.labelBackgroundColor||this.stateBkg,this.compositeBackground=this.compositeBackground||this.background||this.tertiaryColor,this.altBackground=this.altBackground||"#555",this.compositeTitleBackground=this.compositeTitleBackground||this.mainBkg,this.compositeBorder=this.compositeBorder||this.nodeBorder,this.innerEndBackground=this.primaryBorderColor,this.specialStateColor="#f4f4f4",this.errorBkgColor=this.errorBkgColor||this.tertiaryColor,this.errorTextColor=this.errorTextColor||this.tertiaryTextColor,this.fillType0=this.primaryColor,this.fillType1=this.secondaryColor,this.fillType2=l(this.primaryColor,{h:64}),this.fillType3=l(this.secondaryColor,{h:64}),this.fillType4=l(this.primaryColor,{h:-64}),this.fillType5=l(this.secondaryColor,{h:-64}),this.fillType6=l(this.primaryColor,{h:128}),this.fillType7=l(this.secondaryColor,{h:128}),this.cScale1=this.cScale1||"#0b0000",this.cScale2=this.cScale2||"#4d1037",this.cScale3=this.cScale3||"#3f5258",this.cScale4=this.cScale4||"#4f2f1b",this.cScale5=this.cScale5||"#6e0a0a",this.cScale6=this.cScale6||"#3b0048",this.cScale7=this.cScale7||"#995a01",this.cScale8=this.cScale8||"#154706",this.cScale9=this.cScale9||"#161722",this.cScale10=this.cScale10||"#00296f",this.cScale11=this.cScale11||"#01629c",this.cScale12=this.cScale12||"#010029",this.cScale0=this.cScale0||this.primaryColor,this.cScale1=this.cScale1||this.secondaryColor,this.cScale2=this.cScale2||this.tertiaryColor,this.cScale3=this.cScale3||l(this.primaryColor,{h:30}),this.cScale4=this.cScale4||l(this.primaryColor,{h:60}),this.cScale5=this.cScale5||l(this.primaryColor,{h:90}),this.cScale6=this.cScale6||l(this.primaryColor,{h:120}),this.cScale7=this.cScale7||l(this.primaryColor,{h:150}),this.cScale8=this.cScale8||l(this.primaryColor,{h:210}),this.cScale9=this.cScale9||l(this.primaryColor,{h:270}),this.cScale10=this.cScale10||l(this.primaryColor,{h:300}),this.cScale11=this.cScale11||l(this.primaryColor,{h:330});for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScaleInv"+t]=this["cScaleInv"+t]||d(this["cScale"+t]);for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScalePeer"+t]=this["cScalePeer"+t]||(0,p.Z)(this["cScale"+t],10);for(let t=0;t<5;t++)this["surface"+t]=this["surface"+t]||l(this.mainBkg,{h:30,s:-30,l:-(4*t-10)}),this["surfacePeer"+t]=this["surfacePeer"+t]||l(this.mainBkg,{h:30,s:-30,l:-(4*t-7)});this.scaleLabelColor=this.scaleLabelColor||(this.darkMode?"black":this.labelTextColor);for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScaleLabel"+t]=this["cScaleLabel"+t]||this.scaleLabelColor;for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["pie"+t]=this["cScale"+t];this.pieTitleTextSize=this.pieTitleTextSize||"25px",this.pieTitleTextColor=this.pieTitleTextColor||this.taskTextDarkColor,this.pieSectionTextSize=this.pieSectionTextSize||"17px",this.pieSectionTextColor=this.pieSectionTextColor||this.textColor,this.pieLegendTextSize=this.pieLegendTextSize||"17px",this.pieLegendTextColor=this.pieLegendTextColor||this.taskTextDarkColor,this.pieStrokeColor=this.pieStrokeColor||"black",this.pieStrokeWidth=this.pieStrokeWidth||"2px",this.pieOuterStrokeWidth=this.pieOuterStrokeWidth||"2px",this.pieOuterStrokeColor=this.pieOuterStrokeColor||"black",this.pieOpacity=this.pieOpacity||"0.7",this.quadrant1Fill=this.quadrant1Fill||this.primaryColor,this.quadrant2Fill=this.quadrant2Fill||l(this.primaryColor,{r:5,g:5,b:5}),this.quadrant3Fill=this.quadrant3Fill||l(this.primaryColor,{r:10,g:10,b:10}),this.quadrant4Fill=this.quadrant4Fill||l(this.primaryColor,{r:15,g:15,b:15}),this.quadrant1TextFill=this.quadrant1TextFill||this.primaryTextColor,this.quadrant2TextFill=this.quadrant2TextFill||l(this.primaryTextColor,{r:-5,g:-5,b:-5}),this.quadrant3TextFill=this.quadrant3TextFill||l(this.primaryTextColor,{r:-10,g:-10,b:-10}),this.quadrant4TextFill=this.quadrant4TextFill||l(this.primaryTextColor,{r:-15,g:-15,b:-15}),this.quadrantPointFill=this.quadrantPointFill||(0,b.Z)(this.quadrant1Fill)?(0,p.Z)(this.quadrant1Fill):(0,g.Z)(this.quadrant1Fill),this.quadrantPointTextFill=this.quadrantPointTextFill||this.primaryTextColor,this.quadrantXAxisTextFill=this.quadrantXAxisTextFill||this.primaryTextColor,this.quadrantYAxisTextFill=this.quadrantYAxisTextFill||this.primaryTextColor,this.quadrantInternalBorderStrokeFill=this.quadrantInternalBorderStrokeFill||this.primaryBorderColor,this.quadrantExternalBorderStrokeFill=this.quadrantExternalBorderStrokeFill||this.primaryBorderColor,this.quadrantTitleFill=this.quadrantTitleFill||this.primaryTextColor,this.classText=this.primaryTextColor,this.requirementBackground=this.requirementBackground||this.primaryColor,this.requirementBorderColor=this.requirementBorderColor||this.primaryBorderColor,this.requirementBorderSize=this.requirementBorderSize||"1",this.requirementTextColor=this.requirementTextColor||this.primaryTextColor,this.relationColor=this.relationColor||this.lineColor,this.relationLabelBackground=this.relationLabelBackground||(this.darkMode?(0,g.Z)(this.secondaryColor,30):this.secondaryColor),this.relationLabelColor=this.relationLabelColor||this.actorTextColor,this.git0=(0,p.Z)(this.secondaryColor,20),this.git1=(0,p.Z)(this.pie2||this.secondaryColor,20),this.git2=(0,p.Z)(this.pie3||this.tertiaryColor,20),this.git3=(0,p.Z)(this.pie4||l(this.primaryColor,{h:-30}),20),this.git4=(0,p.Z)(this.pie5||l(this.primaryColor,{h:-60}),20),this.git5=(0,p.Z)(this.pie6||l(this.primaryColor,{h:-90}),10),this.git6=(0,p.Z)(this.pie7||l(this.primaryColor,{h:60}),10),this.git7=(0,p.Z)(this.pie8||l(this.primaryColor,{h:120}),20),this.gitInv0=this.gitInv0||d(this.git0),this.gitInv1=this.gitInv1||d(this.git1),this.gitInv2=this.gitInv2||d(this.git2),this.gitInv3=this.gitInv3||d(this.git3),this.gitInv4=this.gitInv4||d(this.git4),this.gitInv5=this.gitInv5||d(this.git5),this.gitInv6=this.gitInv6||d(this.git6),this.gitInv7=this.gitInv7||d(this.git7),this.gitBranchLabel0=this.gitBranchLabel0||d(this.labelTextColor),this.gitBranchLabel1=this.gitBranchLabel1||this.labelTextColor,this.gitBranchLabel2=this.gitBranchLabel2||this.labelTextColor,this.gitBranchLabel3=this.gitBranchLabel3||d(this.labelTextColor),this.gitBranchLabel4=this.gitBranchLabel4||this.labelTextColor,this.gitBranchLabel5=this.gitBranchLabel5||this.labelTextColor,this.gitBranchLabel6=this.gitBranchLabel6||this.labelTextColor,this.gitBranchLabel7=this.gitBranchLabel7||this.labelTextColor,this.tagLabelColor=this.tagLabelColor||this.primaryTextColor,this.tagLabelBackground=this.tagLabelBackground||this.primaryColor,this.tagLabelBorder=this.tagBorder||this.primaryBorderColor,this.tagLabelFontSize=this.tagLabelFontSize||"10px",this.commitLabelColor=this.commitLabelColor||this.secondaryTextColor,this.commitLabelBackground=this.commitLabelBackground||this.secondaryColor,this.commitLabelFontSize=this.commitLabelFontSize||"10px",this.attributeBackgroundColorOdd=this.attributeBackgroundColorOdd||(0,p.Z)(this.background,12),this.attributeBackgroundColorEven=this.attributeBackgroundColorEven||(0,p.Z)(this.background,2)}calculate(t){if("object"!=typeof t)return void this.updateColors();const e=Object.keys(t);e.forEach((e=>{this[e]=t[e]})),this.updateColors(),e.forEach((e=>{this[e]=t[e]}))}};return e.calculate(t),e}},default:{getThemeVariables:_t},forest:{getThemeVariables:t=>{const e=new class{constructor(){this.background="#f4f4f4",this.primaryColor="#cde498",this.secondaryColor="#cdffb2",this.background="white",this.mainBkg="#cde498",this.secondBkg="#cdffb2",this.lineColor="green",this.border1="#13540c",this.border2="#6eaa49",this.arrowheadColor="green",this.fontFamily='"trebuchet ms", verdana, arial, sans-serif',this.fontSize="16px",this.tertiaryColor=(0,p.Z)("#cde498",10),this.primaryBorderColor=vt(this.primaryColor,this.darkMode),this.secondaryBorderColor=vt(this.secondaryColor,this.darkMode),this.tertiaryBorderColor=vt(this.tertiaryColor,this.darkMode),this.primaryTextColor=d(this.primaryColor),this.secondaryTextColor=d(this.secondaryColor),this.tertiaryTextColor=d(this.primaryColor),this.lineColor=d(this.background),this.textColor=d(this.background),this.THEME_COLOR_LIMIT=12,this.nodeBkg="calculated",this.nodeBorder="calculated",this.clusterBkg="calculated",this.clusterBorder="calculated",this.defaultLinkColor="calculated",this.titleColor="#333",this.edgeLabelBackground="#e8e8e8",this.actorBorder="calculated",this.actorBkg="calculated",this.actorTextColor="black",this.actorLineColor="grey",this.signalColor="#333",this.signalTextColor="#333",this.labelBoxBkgColor="calculated",this.labelBoxBorderColor="#326932",this.labelTextColor="calculated",this.loopTextColor="calculated",this.noteBorderColor="calculated",this.noteBkgColor="#fff5ad",this.noteTextColor="calculated",this.activationBorderColor="#666",this.activationBkgColor="#f4f4f4",this.sequenceNumberColor="white",this.sectionBkgColor="#6eaa49",this.altSectionBkgColor="white",this.sectionBkgColor2="#6eaa49",this.excludeBkgColor="#eeeeee",this.taskBorderColor="calculated",this.taskBkgColor="#487e3a",this.taskTextLightColor="white",this.taskTextColor="calculated",this.taskTextDarkColor="black",this.taskTextOutsideColor="calculated",this.taskTextClickableColor="#003163",this.activeTaskBorderColor="calculated",this.activeTaskBkgColor="calculated",this.gridColor="lightgrey",this.doneTaskBkgColor="lightgrey",this.doneTaskBorderColor="grey",this.critBorderColor="#ff8888",this.critBkgColor="red",this.todayLineColor="red",this.personBorder=this.primaryBorderColor,this.personBkg=this.mainBkg,this.labelColor="black",this.errorBkgColor="#552222",this.errorTextColor="#552222"}updateColors(){this.actorBorder=(0,g.Z)(this.mainBkg,20),this.actorBkg=this.mainBkg,this.labelBoxBkgColor=this.actorBkg,this.labelTextColor=this.actorTextColor,this.loopTextColor=this.actorTextColor,this.noteBorderColor=this.border2,this.noteTextColor=this.actorTextColor,this.cScale0=this.cScale0||this.primaryColor,this.cScale1=this.cScale1||this.secondaryColor,this.cScale2=this.cScale2||this.tertiaryColor,this.cScale3=this.cScale3||l(this.primaryColor,{h:30}),this.cScale4=this.cScale4||l(this.primaryColor,{h:60}),this.cScale5=this.cScale5||l(this.primaryColor,{h:90}),this.cScale6=this.cScale6||l(this.primaryColor,{h:120}),this.cScale7=this.cScale7||l(this.primaryColor,{h:150}),this.cScale8=this.cScale8||l(this.primaryColor,{h:210}),this.cScale9=this.cScale9||l(this.primaryColor,{h:270}),this.cScale10=this.cScale10||l(this.primaryColor,{h:300}),this.cScale11=this.cScale11||l(this.primaryColor,{h:330}),this.cScalePeer1=this.cScalePeer1||(0,g.Z)(this.secondaryColor,45),this.cScalePeer2=this.cScalePeer2||(0,g.Z)(this.tertiaryColor,40);for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScale"+t]=(0,g.Z)(this["cScale"+t],10),this["cScalePeer"+t]=this["cScalePeer"+t]||(0,g.Z)(this["cScale"+t],25);for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScaleInv"+t]=this["cScaleInv"+t]||l(this["cScale"+t],{h:180});this.scaleLabelColor="calculated"!==this.scaleLabelColor&&this.scaleLabelColor?this.scaleLabelColor:this.labelTextColor;for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScaleLabel"+t]=this["cScaleLabel"+t]||this.scaleLabelColor;for(let t=0;t<5;t++)this["surface"+t]=this["surface"+t]||l(this.mainBkg,{h:30,s:-30,l:-(5+5*t)}),this["surfacePeer"+t]=this["surfacePeer"+t]||l(this.mainBkg,{h:30,s:-30,l:-(8+5*t)});this.nodeBkg=this.mainBkg,this.nodeBorder=this.border1,this.clusterBkg=this.secondBkg,this.clusterBorder=this.border2,this.defaultLinkColor=this.lineColor,this.taskBorderColor=this.border1,this.taskTextColor=this.taskTextLightColor,this.taskTextOutsideColor=this.taskTextDarkColor,this.activeTaskBorderColor=this.taskBorderColor,this.activeTaskBkgColor=this.mainBkg,this.transitionColor=this.transitionColor||this.lineColor,this.transitionLabelColor=this.transitionLabelColor||this.textColor,this.stateLabelColor=this.stateLabelColor||this.stateBkg||this.primaryTextColor,this.stateBkg=this.stateBkg||this.mainBkg,this.labelBackgroundColor=this.labelBackgroundColor||this.stateBkg,this.compositeBackground=this.compositeBackground||this.background||this.tertiaryColor,this.altBackground=this.altBackground||"#f0f0f0",this.compositeTitleBackground=this.compositeTitleBackground||this.mainBkg,this.compositeBorder=this.compositeBorder||this.nodeBorder,this.innerEndBackground=this.primaryBorderColor,this.specialStateColor=this.lineColor,this.errorBkgColor=this.errorBkgColor||this.tertiaryColor,this.errorTextColor=this.errorTextColor||this.tertiaryTextColor,this.transitionColor=this.transitionColor||this.lineColor,this.classText=this.primaryTextColor,this.fillType0=this.primaryColor,this.fillType1=this.secondaryColor,this.fillType2=l(this.primaryColor,{h:64}),this.fillType3=l(this.secondaryColor,{h:64}),this.fillType4=l(this.primaryColor,{h:-64}),this.fillType5=l(this.secondaryColor,{h:-64}),this.fillType6=l(this.primaryColor,{h:128}),this.fillType7=l(this.secondaryColor,{h:128}),this.pie1=this.pie1||this.primaryColor,this.pie2=this.pie2||this.secondaryColor,this.pie3=this.pie3||this.tertiaryColor,this.pie4=this.pie4||l(this.primaryColor,{l:-30}),this.pie5=this.pie5||l(this.secondaryColor,{l:-30}),this.pie6=this.pie6||l(this.tertiaryColor,{h:40,l:-40}),this.pie7=this.pie7||l(this.primaryColor,{h:60,l:-10}),this.pie8=this.pie8||l(this.primaryColor,{h:-60,l:-10}),this.pie9=this.pie9||l(this.primaryColor,{h:120,l:0}),this.pie10=this.pie10||l(this.primaryColor,{h:60,l:-50}),this.pie11=this.pie11||l(this.primaryColor,{h:-60,l:-50}),this.pie12=this.pie12||l(this.primaryColor,{h:120,l:-50}),this.pieTitleTextSize=this.pieTitleTextSize||"25px",this.pieTitleTextColor=this.pieTitleTextColor||this.taskTextDarkColor,this.pieSectionTextSize=this.pieSectionTextSize||"17px",this.pieSectionTextColor=this.pieSectionTextColor||this.textColor,this.pieLegendTextSize=this.pieLegendTextSize||"17px",this.pieLegendTextColor=this.pieLegendTextColor||this.taskTextDarkColor,this.pieStrokeColor=this.pieStrokeColor||"black",this.pieStrokeWidth=this.pieStrokeWidth||"2px",this.pieOuterStrokeWidth=this.pieOuterStrokeWidth||"2px",this.pieOuterStrokeColor=this.pieOuterStrokeColor||"black",this.pieOpacity=this.pieOpacity||"0.7",this.quadrant1Fill=this.quadrant1Fill||this.primaryColor,this.quadrant2Fill=this.quadrant2Fill||l(this.primaryColor,{r:5,g:5,b:5}),this.quadrant3Fill=this.quadrant3Fill||l(this.primaryColor,{r:10,g:10,b:10}),this.quadrant4Fill=this.quadrant4Fill||l(this.primaryColor,{r:15,g:15,b:15}),this.quadrant1TextFill=this.quadrant1TextFill||this.primaryTextColor,this.quadrant2TextFill=this.quadrant2TextFill||l(this.primaryTextColor,{r:-5,g:-5,b:-5}),this.quadrant3TextFill=this.quadrant3TextFill||l(this.primaryTextColor,{r:-10,g:-10,b:-10}),this.quadrant4TextFill=this.quadrant4TextFill||l(this.primaryTextColor,{r:-15,g:-15,b:-15}),this.quadrantPointFill=this.quadrantPointFill||(0,b.Z)(this.quadrant1Fill)?(0,p.Z)(this.quadrant1Fill):(0,g.Z)(this.quadrant1Fill),this.quadrantPointTextFill=this.quadrantPointTextFill||this.primaryTextColor,this.quadrantXAxisTextFill=this.quadrantXAxisTextFill||this.primaryTextColor,this.quadrantYAxisTextFill=this.quadrantYAxisTextFill||this.primaryTextColor,this.quadrantInternalBorderStrokeFill=this.quadrantInternalBorderStrokeFill||this.primaryBorderColor,this.quadrantExternalBorderStrokeFill=this.quadrantExternalBorderStrokeFill||this.primaryBorderColor,this.quadrantTitleFill=this.quadrantTitleFill||this.primaryTextColor,this.requirementBackground=this.requirementBackground||this.primaryColor,this.requirementBorderColor=this.requirementBorderColor||this.primaryBorderColor,this.requirementBorderSize=this.requirementBorderSize||"1",this.requirementTextColor=this.requirementTextColor||this.primaryTextColor,this.relationColor=this.relationColor||this.lineColor,this.relationLabelBackground=this.relationLabelBackground||this.edgeLabelBackground,this.relationLabelColor=this.relationLabelColor||this.actorTextColor,this.git0=this.git0||this.primaryColor,this.git1=this.git1||this.secondaryColor,this.git2=this.git2||this.tertiaryColor,this.git3=this.git3||l(this.primaryColor,{h:-30}),this.git4=this.git4||l(this.primaryColor,{h:-60}),this.git5=this.git5||l(this.primaryColor,{h:-90}),this.git6=this.git6||l(this.primaryColor,{h:60}),this.git7=this.git7||l(this.primaryColor,{h:120}),this.darkMode?(this.git0=(0,p.Z)(this.git0,25),this.git1=(0,p.Z)(this.git1,25),this.git2=(0,p.Z)(this.git2,25),this.git3=(0,p.Z)(this.git3,25),this.git4=(0,p.Z)(this.git4,25),this.git5=(0,p.Z)(this.git5,25),this.git6=(0,p.Z)(this.git6,25),this.git7=(0,p.Z)(this.git7,25)):(this.git0=(0,g.Z)(this.git0,25),this.git1=(0,g.Z)(this.git1,25),this.git2=(0,g.Z)(this.git2,25),this.git3=(0,g.Z)(this.git3,25),this.git4=(0,g.Z)(this.git4,25),this.git5=(0,g.Z)(this.git5,25),this.git6=(0,g.Z)(this.git6,25),this.git7=(0,g.Z)(this.git7,25)),this.gitInv0=this.gitInv0||d(this.git0),this.gitInv1=this.gitInv1||d(this.git1),this.gitInv2=this.gitInv2||d(this.git2),this.gitInv3=this.gitInv3||d(this.git3),this.gitInv4=this.gitInv4||d(this.git4),this.gitInv5=this.gitInv5||d(this.git5),this.gitInv6=this.gitInv6||d(this.git6),this.gitInv7=this.gitInv7||d(this.git7),this.gitBranchLabel0=this.gitBranchLabel0||d(this.labelTextColor),this.gitBranchLabel1=this.gitBranchLabel1||this.labelTextColor,this.gitBranchLabel2=this.gitBranchLabel2||this.labelTextColor,this.gitBranchLabel3=this.gitBranchLabel3||d(this.labelTextColor),this.gitBranchLabel4=this.gitBranchLabel4||this.labelTextColor,this.gitBranchLabel5=this.gitBranchLabel5||this.labelTextColor,this.gitBranchLabel6=this.gitBranchLabel6||this.labelTextColor,this.gitBranchLabel7=this.gitBranchLabel7||this.labelTextColor,this.tagLabelColor=this.tagLabelColor||this.primaryTextColor,this.tagLabelBackground=this.tagLabelBackground||this.primaryColor,this.tagLabelBorder=this.tagBorder||this.primaryBorderColor,this.tagLabelFontSize=this.tagLabelFontSize||"10px",this.commitLabelColor=this.commitLabelColor||this.secondaryTextColor,this.commitLabelBackground=this.commitLabelBackground||this.secondaryColor,this.commitLabelFontSize=this.commitLabelFontSize||"10px",this.attributeBackgroundColorOdd=this.attributeBackgroundColorOdd||xt,this.attributeBackgroundColorEven=this.attributeBackgroundColorEven||kt}calculate(t){if("object"!=typeof t)return void this.updateColors();const e=Object.keys(t);e.forEach((e=>{this[e]=t[e]})),this.updateColors(),e.forEach((e=>{this[e]=t[e]}))}};return e.calculate(t),e}},neutral:{getThemeVariables:t=>{const e=new Et;return e.calculate(t),e}}},Ct={flowchart:{useMaxWidth:!0,titleTopMargin:25,diagramPadding:8,htmlLabels:!0,nodeSpacing:50,rankSpacing:50,curve:"basis",padding:15,defaultRenderer:"dagre-wrapper",wrappingWidth:200},sequence:{useMaxWidth:!0,hideUnusedParticipants:!1,activationWidth:10,diagramMarginX:50,diagramMarginY:10,actorMargin:50,width:150,height:65,boxMargin:10,boxTextMargin:5,noteMargin:10,messageMargin:35,messageAlign:"center",mirrorActors:!0,forceMenus:!1,bottomMarginAdj:1,rightAngles:!1,showSequenceNumbers:!1,actorFontSize:14,actorFontFamily:'"Open Sans", sans-serif',actorFontWeight:400,noteFontSize:14,noteFontFamily:'"trebuchet ms", verdana, arial, sans-serif',noteFontWeight:400,noteAlign:"center",messageFontSize:16,messageFontFamily:'"trebuchet ms", verdana, arial, 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s=a.length-1;switch(r){case 4:i.setShowData(!0);break;case 7:this.$=a[s-1];break;case 9:i.addSection(a[s-1],i.cleanupValue(a[s]));break;case 10:this.$=a[s].trim(),i.setDiagramTitle(this.$);break;case 11:this.$=a[s].trim(),i.setAccTitle(this.$);break;case 12:case 13:this.$=a[s].trim(),i.setAccDescription(this.$);break;case 14:i.addSection(a[s].substr(8)),this.$=a[s].substr(8);break;case 21:i.parseDirective("%%{","open_directive");break;case 22:i.parseDirective(a[s],"type_directive");break;case 23:a[s]=a[s].trim().replace(/'/g,'"'),i.parseDirective(a[s],"arg_directive");break;case 24:i.parseDirective("}%%","close_directive","pie")}},table:[{3:1,4:2,5:3,6:e,21:8,26:n,27:i,28:r,29:a},{1:[3]},{3:10,4:2,5:3,6:e,21:8,26:n,27:i,28:r,29:a},{3:11,4:2,5:3,6:e,21:8,26:n,27:i,28:r,29:a},t(o,s,{7:12,8:[1,13]}),t(c,[2,18]),t(c,[2,19]),t(c,[2,20]),{22:14,30:[1,15]},{30:[2,21]},{1:[2,1]},{1:[2,2]},t(u,l,{21:8,9:16,10:17,5:24,1:[2,3],11:h,13:f,15:d,17:g,19:p,20:b,29:a}),t(o,s,{7:25}),{23:26,24:[1,27],32:w},t([24,32],[2,22]),t(o,[2,6]),{4:29,26:n,27:i,28:r},{12:[1,30]},{14:[1,31]},{16:[1,32]},{18:[1,33]},t(u,[2,13]),t(u,[2,14]),t(u,[2,15]),t(u,l,{21:8,9:16,10:17,5:24,1:[2,4],11:h,13:f,15:d,17:g,19:p,20:b,29:a}),t(y,[2,16]),{25:34,31:[1,35]},t(y,[2,24]),t(o,[2,7]),t(u,[2,9]),t(u,[2,10]),t(u,[2,11]),t(u,[2,12]),{23:36,32:w},{32:[2,23]},t(y,[2,17])],defaultActions:{9:[2,21],10:[2,1],11:[2,2],35:[2,23]},parseError:function(t,e){if(!e.recoverable){var n=new Error(t);throw n.hash=e,n}this.trace(t)},parse:function(t){var e=this,n=[0],i=[],r=[null],a=[],o=this.table,s="",c=0,u=0,l=2,h=1,f=a.slice.call(arguments,1),d=Object.create(this.lexer),g={yy:{}};for(var p in this.yy)Object.prototype.hasOwnProperty.call(this.yy,p)&&(g.yy[p]=this.yy[p]);d.setInput(t,g.yy),g.yy.lexer=d,g.yy.parser=this,void 0===d.yylloc&&(d.yylloc={});var b=d.yylloc;a.push(b);var w=d.options&&d.options.ranges;function y(){var t;return"number"!=typeof(t=i.pop()||d.lex()||h)&&(t instanceof Array&&(t=(i=t).pop()),t=e.symbols_[t]||t),t}"function"==typeof g.yy.parseError?this.parseError=g.yy.parseError:this.parseError=Object.getPrototypeOf(this).parseError;for(var m,v,x,k,_,E,T,C,S={};;){if(v=n[n.length-1],this.defaultActions[v]?x=this.defaultActions[v]:(null==m&&(m=y()),x=o[v]&&o[v][m]),void 0===x||!x.length||!x[0]){var A="";for(_ in C=[],o[v])this.terminals_[_]&&_>l&&C.push("'"+this.terminals_[_]+"'");A=d.showPosition?"Parse error on line "+(c+1)+":\n"+d.showPosition()+"\nExpecting "+C.join(", ")+", got 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e=t.length,n=t.split(/(?:\r\n?|\n)/g);this._input=t+this._input,this.yytext=this.yytext.substr(0,this.yytext.length-e),this.offset-=e;var i=this.match.split(/(?:\r\n?|\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),n.length-1&&(this.yylineno-=n.length-1);var r=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:n?(n.length===i.length?this.yylloc.first_column:0)+i[i.length-n.length].length-n[0].length:this.yylloc.first_column-e},this.options.ranges&&(this.yylloc.range=[r[0],r[0]+this.yyleng-e]),this.yyleng=this.yytext.length,this},more:function(){return this._more=!0,this},reject:function(){return this.options.backtrack_lexer?(this._backtrack=!0,this):this.parseError("Lexical error on line "+(this.yylineno+1)+". 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4:return 31;case 5:case 6:case 8:case 9:break;case 7:return 26;case 10:return this.begin("title"),13;case 11:return this.popState(),"title_value";case 12:return this.begin("acc_title"),15;case 13:return this.popState(),"acc_title_value";case 14:return this.begin("acc_descr"),17;case 15:return this.popState(),"acc_descr_value";case 16:this.begin("acc_descr_multiline");break;case 17:case 20:this.popState();break;case 18:return"acc_descr_multiline_value";case 19:this.begin("string");break;case 21:return"txt";case 22:return 6;case 23:return 8;case 24:return"value";case 25:return 28}},rules:[/^(?:%%\{)/i,/^(?:((?:(?!\}%%)[^:.])*))/i,/^(?::)/i,/^(?:\}%%)/i,/^(?:((?:(?!\}%%).|\n)*))/i,/^(?:%%(?!\{)[^\n]*)/i,/^(?:[^\}]%%[^\n]*)/i,/^(?:[\n\r]+)/i,/^(?:%%[^\n]*)/i,/^(?:[\s]+)/i,/^(?:title\b)/i,/^(?:(?!\n||)*[^\n]*)/i,/^(?:accTitle\s*:\s*)/i,/^(?:(?!\n||)*[^\n]*)/i,/^(?:accDescr\s*:\s*)/i,/^(?:(?!\n||)*[^\n]*)/i,/^(?:accDescr\s*\{\s*)/i,/^(?:[\}])/i,/^(?:[^\}]*)/i,/^(?:["])/i,/^(?:["])/i,/^(?:[^"]*)/i,/^(?:pie\b)/i,/^(?:showData\b)/i,/^(?::[\s]*[\d]+(?:\.[\d]+)?)/i,/^(?:$)/i],conditions:{acc_descr_multiline:{rules:[17,18],inclusive:!1},acc_descr:{rules:[15],inclusive:!1},acc_title:{rules:[13],inclusive:!1},close_directive:{rules:[],inclusive:!1},arg_directive:{rules:[3,4],inclusive:!1},type_directive:{rules:[2,3],inclusive:!1},open_directive:{rules:[1],inclusive:!1},title:{rules:[11],inclusive:!1},string:{rules:[20,21],inclusive:!1},INITIAL:{rules:[0,5,6,7,8,9,10,12,14,16,19,22,23,24,25],inclusive:!0}}};function x(){this.yy={}}return 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g=18,p=d.append("g");p.attr("transform","translate("+f/2+",225)");const{themeVariables:b}=u;let[w]=(0,i.F)(b.pieOuterStrokeWidth);w??(w=2);const y=l.textPosition,m=Math.min(f,h)/2-40,v=(0,r.Nb1)().innerRadius(0).outerRadius(m),x=(0,r.Nb1)().innerRadius(m*y).outerRadius(m*y);p.append("circle").attr("cx",0).attr("cy",0).attr("r",m+w/2).attr("class","pieOuterCircle");const k=c.getSections(),_=(t=>{const e=Object.entries(t).map((t=>({label:t[0],value:t[1]})));return(0,r.ve8)().value((t=>t.value))(e)})(k),E=[b.pie1,b.pie2,b.pie3,b.pie4,b.pie5,b.pie6,b.pie7,b.pie8,b.pie9,b.pie10,b.pie11,b.pie12],T=(0,r.PKp)(E);p.selectAll("mySlices").data(_).enter().append("path").attr("d",v).attr("fill",(t=>T(t.data.label))).attr("class","pieCircle");let 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}\n  .pieTitleText {\n    text-anchor: middle;\n    font-size: ${t.pieTitleTextSize};\n    fill: ${t.pieTitleTextColor};\n    font-family: ${t.fontFamily};\n  }\n  .slice {\n    font-family: ${t.fontFamily};\n    fill: ${t.pieSectionTextColor};\n    font-size:${t.pieSectionTextSize};\n    // fill: white;\n  }\n  .legend text {\n    fill: ${t.pieLegendTextColor};\n    font-family: ${t.fontFamily};\n    font-size: ${t.pieLegendTextSize};\n  }\n`}},7118:(t,e,n)=>{"use strict";n.r(e),n.d(e,{diagram:()=>h});var i=n(9339),r=n(7274),a=(n(7484),n(7967),n(7856),function(){var t=function(t,e,n,i){for(n=n||{},i=t.length;i--;n[t[i]]=e);return 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43:return 57;case 44:return 59;case 45:return 60;case 46:return 58;case 47:return 51;case 48:return 61;case 49:return 52;case 50:return 5;case 51:return 39;case 52:return 50;case 53:return 40}},rules:[/^(?:%%\{)/i,/^(?:((?:(?!\}%%)[^:.])*))/i,/^(?::)/i,/^(?:\}%%)/i,/^(?:((?:(?!\}%%).|\n)*))/i,/^(?:%%(?!\{)[^\n]*)/i,/^(?:[^\}]%%[^\n]*)/i,/^(?:[\n\r]+)/i,/^(?:%%[^\n]*)/i,/^(?:title\b)/i,/^(?:(?!\n||)*[^\n]*)/i,/^(?:accTitle\s*:\s*)/i,/^(?:(?!\n||)*[^\n]*)/i,/^(?:accDescr\s*:\s*)/i,/^(?:(?!\n||)*[^\n]*)/i,/^(?:accDescr\s*\{\s*)/i,/^(?:[\}])/i,/^(?:[^\}]*)/i,/^(?: *x-axis *)/i,/^(?: *y-axis *)/i,/^(?: *--+> *)/i,/^(?: *quadrant-1 *)/i,/^(?: *quadrant-2 *)/i,/^(?: *quadrant-3 *)/i,/^(?: *quadrant-4 *)/i,/^(?:["][`])/i,/^(?:[^`"]+)/i,/^(?:[`]["])/i,/^(?:["])/i,/^(?:["])/i,/^(?:[^"]*)/i,/^(?:\s*:\s*\[\s*)/i,/^(?:(1)|(0(.\d+)?))/i,/^(?:\s*\] *)/i,/^(?:\s*,\s*)/i,/^(?:(1)|(0(.\d+)?))/i,/^(?: *quadrantChart 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u(t){return(0,i.d)(t.trim(),c)}const l=new class{constructor(){this.config=this.getDefaultConfig(),this.themeConfig=this.getDefaultThemeConfig(),this.data=this.getDefaultData()}getDefaultData(){return{titleText:"",quadrant1Text:"",quadrant2Text:"",quadrant3Text:"",quadrant4Text:"",xAxisLeftText:"",xAxisRightText:"",yAxisBottomText:"",yAxisTopText:"",points:[]}}getDefaultConfig(){var t,e,n,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y;return{showXAxis:!0,showYAxis:!0,showTitle:!0,chartHeight:(null==(t=i.C.quadrantChart)?void 0:t.chartWidth)||500,chartWidth:(null==(e=i.C.quadrantChart)?void 0:e.chartHeight)||500,titlePadding:(null==(n=i.C.quadrantChart)?void 0:n.titlePadding)||10,titleFontSize:(null==(r=i.C.quadrantChart)?void 0:r.titleFontSize)||20,quadrantPadding:(null==(a=i.C.quadrantChart)?void 0:a.quadrantPadding)||5,xAxisLabelPadding:(null==(o=i.C.quadrantChart)?void 0:o.xAxisLabelPadding)||5,yAxisLabelPadding:(null==(s=i.C.quadrantChart)?void 0:s.yAxisLabelPadding)||5,xAxisLabelFontSize:(null==(c=i.C.quadrantChart)?void 0:c.xAxisLabelFontSize)||16,yAxisLabelFontSize:(null==(u=i.C.quadrantChart)?void 0:u.yAxisLabelFontSize)||16,quadrantLabelFontSize:(null==(l=i.C.quadrantChart)?void 0:l.quadrantLabelFontSize)||16,quadrantTextTopPadding:(null==(h=i.C.quadrantChart)?void 0:h.quadrantTextTopPadding)||5,pointTextPadding:(null==(f=i.C.quadrantChart)?void 0:f.pointTextPadding)||5,pointLabelFontSize:(null==(d=i.C.quadrantChart)?void 0:d.pointLabelFontSize)||12,pointRadius:(null==(g=i.C.quadrantChart)?void 0:g.pointRadius)||5,xAxisPosition:(null==(p=i.C.quadrantChart)?void 0:p.xAxisPosition)||"top",yAxisPosition:(null==(b=i.C.quadrantChart)?void 0:b.yAxisPosition)||"left",quadrantInternalBorderStrokeWidth:(null==(w=i.C.quadrantChart)?void 0:w.quadrantInternalBorderStrokeWidth)||1,quadrantExternalBorderStrokeWidth:(null==(y=i.C.quadrantChart)?void 0:y.quadrantExternalBorderStrokeWidth)||2}}getDefaultThemeConfig(){return{quadrant1Fill:s.quadrant1Fill,quadrant2Fill:s.quadrant2Fill,quadrant3Fill:s.quadrant3Fill,quadrant4Fill:s.quadrant4Fill,quadrant1TextFill:s.quadrant1TextFill,quadrant2TextFill:s.quadrant2TextFill,quadrant3TextFill:s.quadrant3TextFill,quadrant4TextFill:s.quadrant4TextFill,quadrantPointFill:s.quadrantPointFill,quadrantPointTextFill:s.quadrantPointTextFill,quadrantXAxisTextFill:s.quadrantXAxisTextFill,quadrantYAxisTextFill:s.quadrantYAxisTextFill,quadrantTitleFill:s.quadrantTitleFill,quadrantInternalBorderStrokeFill:s.quadrantInternalBorderStrokeFill,quadrantExternalBorderStrokeFill:s.quadrantExternalBorderStrokeFill}}clear(){this.config=this.getDefaultConfig(),this.themeConfig=this.getDefaultThemeConfig(),this.data=this.getDefaultData(),i.l.info("clear called")}setData(t){this.data={...this.data,...t}}addPoints(t){this.data.points=[...t,...this.data.points]}setConfig(t){i.l.trace("setConfig called with: ",t),this.config={...this.config,...t}}setThemeConfig(t){i.l.trace("setThemeConfig called with: ",t),this.themeConfig={...this.themeConfig,...t}}calculateSpace(t,e,n,i){const r=2*this.config.xAxisLabelPadding+this.config.xAxisLabelFontSize,a={top:"top"===t&&e?r:0,bottom:"bottom"===t&&e?r:0},o=2*this.config.yAxisLabelPadding+this.config.yAxisLabelFontSize,s={left:"left"===this.config.yAxisPosition&&n?o:0,right:"right"===this.config.yAxisPosition&&n?o:0},c=this.config.titleFontSize+2*this.config.titlePadding,u={top:i?c:0},l=this.config.quadrantPadding+s.left,h=this.config.quadrantPadding+a.top+u.top,f=this.config.chartWidth-2*this.config.quadrantPadding-s.left-s.right,d=this.config.chartHeight-2*this.config.quadrantPadding-a.top-a.bottom-u.top;return{xAxisSpace:a,yAxisSpace:s,titleSpace:u,quadrantSpace:{quadrantLeft:l,quadrantTop:h,quadrantWidth:f,quadrantHalfWidth:f/2,quadrantHeight:d,quadrantHalfHeight:d/2}}}getAxisLabels(t,e,n,i){const{quadrantSpace:r,titleSpace:a}=i,{quadrantHalfHeight:o,quadrantHeight:s,quadrantLeft:c,quadrantHalfWidth:u,quadrantTop:l,quadrantWidth:h}=r,f=0===this.data.points.length,d=[];return this.data.xAxisLeftText&&e&&d.push({text:this.data.xAxisLeftText,fill:this.themeConfig.quadrantXAxisTextFill,x:c+(f?u/2:0),y:"top"===t?this.config.xAxisLabelPadding+a.top:this.config.xAxisLabelPadding+l+s+this.config.quadrantPadding,fontSize:this.config.xAxisLabelFontSize,verticalPos:f?"center":"left",horizontalPos:"top",rotation:0}),this.data.xAxisRightText&&e&&d.push({text:this.data.xAxisRightText,fill:this.themeConfig.quadrantXAxisTextFill,x:c+u+(f?u/2:0),y:"top"===t?this.config.xAxisLabelPadding+a.top:this.config.xAxisLabelPadding+l+s+this.config.quadrantPadding,fontSize:this.config.xAxisLabelFontSize,verticalPos:f?"center":"left",horizontalPos:"top",rotation:0}),this.data.yAxisBottomText&&n&&d.push({text:this.data.yAxisBottomText,fill:this.themeConfig.quadrantYAxisTextFill,x:"left"===this.config.yAxisPosition?this.config.yAxisLabelPadding:this.config.yAxisLabelPadding+c+h+this.config.quadrantPadding,y:l+s-(f?o/2:0),fontSize:this.config.yAxisLabelFontSize,verticalPos:f?"center":"left",horizontalPos:"top",rotation:-90}),this.data.yAxisTopText&&n&&d.push({text:this.data.yAxisTopText,fill:this.themeConfig.quadrantYAxisTextFill,x:"left"===this.config.yAxisPosition?this.config.yAxisLabelPadding:this.config.yAxisLabelPadding+c+h+this.config.quadrantPadding,y:l+o-(f?o/2:0),fontSize:this.config.yAxisLabelFontSize,verticalPos:f?"center":"left",horizontalPos:"top",rotation:-90}),d}getQuadrants(t){const{quadrantSpace:e}=t,{quadrantHalfHeight:n,quadrantLeft:i,quadrantHalfWidth:r,quadrantTop:a}=e,o=[{text:{text:this.data.quadrant1Text,fill:this.themeConfig.quadrant1TextFill,x:0,y:0,fontSize:this.config.quadrantLabelFontSize,verticalPos:"center",horizontalPos:"middle",rotation:0},x:i+r,y:a,width:r,height:n,fill:this.themeConfig.quadrant1Fill},{text:{text:this.data.quadrant2Text,fill:this.themeConfig.quadrant2TextFill,x:0,y:0,fontSize:this.config.quadrantLabelFontSize,verticalPos:"center",horizontalPos:"middle",rotation:0},x:i,y:a,width:r,height:n,fill:this.themeConfig.quadrant2Fill},{text:{text:this.data.quadrant3Text,fill:this.themeConfig.quadrant3TextFill,x:0,y:0,fontSize:this.config.quadrantLabelFontSize,verticalPos:"center",horizontalPos:"middle",rotation:0},x:i,y:a+n,width:r,height:n,fill:this.themeConfig.quadrant3Fill},{text:{text:this.data.quadrant4Text,fill:this.themeConfig.quadrant4TextFill,x:0,y:0,fontSize:this.config.quadrantLabelFontSize,verticalPos:"center",horizontalPos:"middle",rotation:0},x:i+r,y:a+n,width:r,height:n,fill:this.themeConfig.quadrant4Fill}];for(const t of o)t.text.x=t.x+t.width/2,0===this.data.points.length?(t.text.y=t.y+t.height/2,t.text.horizontalPos="middle"):(t.text.y=t.y+this.config.quadrantTextTopPadding,t.text.horizontalPos="top");return o}getQuadrantPoints(t){const{quadrantSpace:e}=t,{quadrantHeight:n,quadrantLeft:i,quadrantTop:a,quadrantWidth:o}=e,s=(0,r.BYU)().domain([0,1]).range([i,o+i]),c=(0,r.BYU)().domain([0,1]).range([n+a,a]);return this.data.points.map((t=>({x:s(t.x),y:c(t.y),fill:this.themeConfig.quadrantPointFill,radius:this.config.pointRadius,text:{text:t.text,fill:this.themeConfig.quadrantPointTextFill,x:s(t.x),y:c(t.y)+this.config.pointTextPadding,verticalPos:"center",horizontalPos:"top",fontSize:this.config.pointLabelFontSize,rotation:0}})))}getBorders(t){const e=this.config.quadrantExternalBorderStrokeWidth/2,{quadrantSpace:n}=t,{quadrantHalfHeight:i,quadrantHeight:r,quadrantLeft:a,quadrantHalfWidth:o,quadrantTop:s,quadrantWidth:c}=n;return[{strokeFill:this.themeConfig.quadrantExternalBorderStrokeFill,strokeWidth:this.config.quadrantExternalBorderStrokeWidth,x1:a-e,y1:s,x2:a+c+e,y2:s},{strokeFill:this.themeConfig.quadrantExternalBorderStrokeFill,strokeWidth:this.config.quadrantExternalBorderStrokeWidth,x1:a+c,y1:s+e,x2:a+c,y2:s+r-e},{strokeFill:this.themeConfig.quadrantExternalBorderStrokeFill,strokeWidth:this.config.quadrantExternalBorderStrokeWidth,x1:a-e,y1:s+r,x2:a+c+e,y2:s+r},{strokeFill:this.themeConfig.quadrantExternalBorderStrokeFill,strokeWidth:this.config.quadrantExternalBorderStrokeWidth,x1:a,y1:s+e,x2:a,y2:s+r-e},{strokeFill:this.themeConfig.quadrantInternalBorderStrokeFill,strokeWidth:this.config.quadrantInternalBorderStrokeWidth,x1:a+o,y1:s+e,x2:a+o,y2:s+r-e},{strokeFill:this.themeConfig.quadrantInternalBorderStrokeFill,strokeWidth:this.config.quadrantInternalBorderStrokeWidth,x1:a+e,y1:s+i,x2:a+c-e,y2:s+i}]}getTitle(t){if(t)return{text:this.data.titleText,fill:this.themeConfig.quadrantTitleFill,fontSize:this.config.titleFontSize,horizontalPos:"top",verticalPos:"center",rotation:0,y:this.config.titlePadding,x:this.config.chartWidth/2}}build(){const t=this.config.showXAxis&&!(!this.data.xAxisLeftText&&!this.data.xAxisRightText),e=this.config.showYAxis&&!(!this.data.yAxisTopText&&!this.data.yAxisBottomText),n=this.config.showTitle&&!!this.data.titleText,i=this.data.points.length>0?"bottom":this.config.xAxisPosition,r=this.calculateSpace(i,t,e,n);return{points:this.getQuadrantPoints(r),quadrants:this.getQuadrants(r),axisLabels:this.getAxisLabels(i,t,e,r),borderLines:this.getBorders(r),title:this.getTitle(n)}}};const h={parser:o,db:{setWidth:function(t){l.setConfig({chartWidth:t})},setHeight:function(t){l.setConfig({chartHeight:t})},setQuadrant1Text:function(t){l.setData({quadrant1Text:u(t.text)})},setQuadrant2Text:function(t){l.setData({quadrant2Text:u(t.text)})},setQuadrant3Text:function(t){l.setData({quadrant3Text:u(t.text)})},setQuadrant4Text:function(t){l.setData({quadrant4Text:u(t.text)})},setXAxisLeftText:function(t){l.setData({xAxisLeftText:u(t.text)})},setXAxisRightText:function(t){l.setData({xAxisRightText:u(t.text)})},setYAxisTopText:function(t){l.setData({yAxisTopText:u(t.text)})},setYAxisBottomText:function(t){l.setData({yAxisBottomText:u(t.text)})},addPoint:function(t,e,n){l.addPoints([{x:e,y:n,text:u(t.text)}])},getQuadrantData:function(){const t=(0,i.c)(),{themeVariables:e,quadrantChart:n}=t;return n&&l.setConfig(n),l.setThemeConfig({quadrant1Fill:e.quadrant1Fill,quadrant2Fill:e.quadrant2Fill,quadrant3Fill:e.quadrant3Fill,quadrant4Fill:e.quadrant4Fill,quadrant1TextFill:e.quadrant1TextFill,quadrant2TextFill:e.quadrant2TextFill,quadrant3TextFill:e.quadrant3TextFill,quadrant4TextFill:e.quadrant4TextFill,quadrantPointFill:e.quadrantPointFill,quadrantPointTextFill:e.quadrantPointTextFill,quadrantXAxisTextFill:e.quadrantXAxisTextFill,quadrantYAxisTextFill:e.quadrantYAxisTextFill,quadrantExternalBorderStrokeFill:e.quadrantExternalBorderStrokeFill,quadrantInternalBorderStrokeFill:e.quadrantInternalBorderStrokeFill,quadrantTitleFill:e.quadrantTitleFill}),l.setData({titleText:(0,i.t)()}),l.build()},parseDirective:function(t,e,n){i.m.parseDirective(this,t,e,n)},clear:function(){l.clear(),(0,i.v)()},setAccTitle:i.s,getAccTitle:i.g,setDiagramTitle:i.r,getDiagramTitle:i.t,getAccDescription:i.a,setAccDescription:i.b},renderer:{draw:(t,e,n,a)=>{var o,s,c;function u(t){return"top"===t?"hanging":"middle"}function l(t){return"left"===t?"start":"middle"}function h(t){return`translate(${t.x}, ${t.y}) rotate(${t.rotation||0})`}const f=(0,i.c)();i.l.debug("Rendering quadrant chart\n"+t);const d=f.securityLevel;let g;"sandbox"===d&&(g=(0,r.Ys)("#i"+e));const p=("sandbox"===d?(0,r.Ys)(g.nodes()[0].contentDocument.body):(0,r.Ys)("body")).select(`[id="${e}"]`),b=p.append("g").attr("class","main"),w=(null==(o=f.quadrantChart)?void 0:o.chartWidth)||500,y=(null==(s=f.quadrantChart)?void 0:s.chartHeight)||500;(0,i.i)(p,y,w,(null==(c=f.quadrantChart)?void 0:c.useMaxWidth)||!0),p.attr("viewBox","0 0 "+w+" "+y),a.db.setHeight(y),a.db.setWidth(w);const m=a.db.getQuadrantData(),v=b.append("g").attr("class","quadrants"),x=b.append("g").attr("class","border"),k=b.append("g").attr("class","data-points"),_=b.append("g").attr("class","labels"),E=b.append("g").attr("class","title");m.title&&E.append("text").attr("x",0).attr("y",0).attr("fill",m.title.fill).attr("font-size",m.title.fontSize).attr("dominant-baseline",u(m.title.horizontalPos)).attr("text-anchor",l(m.title.verticalPos)).attr("transform",h(m.title)).text(m.title.text),m.borderLines&&x.selectAll("line").data(m.borderLines).enter().append("line").attr("x1",(t=>t.x1)).attr("y1",(t=>t.y1)).attr("x2",(t=>t.x2)).attr("y2",(t=>t.y2)).style("stroke",(t=>t.strokeFill)).style("stroke-width",(t=>t.strokeWidth));const T=v.selectAll("g.quadrant").data(m.quadrants).enter().append("g").attr("class","quadrant");T.append("rect").attr("x",(t=>t.x)).attr("y",(t=>t.y)).attr("width",(t=>t.width)).attr("height",(t=>t.height)).attr("fill",(t=>t.fill)),T.append("text").attr("x",0).attr("y",0).attr("fill",(t=>t.text.fill)).attr("font-size",(t=>t.text.fontSize)).attr("dominant-baseline",(t=>u(t.text.horizontalPos))).attr("text-anchor",(t=>l(t.text.verticalPos))).attr("transform",(t=>h(t.text))).text((t=>t.text.text));_.selectAll("g.label").data(m.axisLabels).enter().append("g").attr("class","label").append("text").attr("x",0).attr("y",0).text((t=>t.text)).attr("fill",(t=>t.fill)).attr("font-size",(t=>t.fontSize)).attr("dominant-baseline",(t=>u(t.horizontalPos))).attr("text-anchor",(t=>l(t.verticalPos))).attr("transform",(t=>h(t)));const C=k.selectAll("g.data-point").data(m.points).enter().append("g").attr("class","data-point");C.append("circle").attr("cx",(t=>t.x)).attr("cy",(t=>t.y)).attr("r",(t=>t.radius)).attr("fill",(t=>t.fill)),C.append("text").attr("x",0).attr("y",0).text((t=>t.text.text)).attr("fill",(t=>t.text.fill)).attr("font-size",(t=>t.text.fontSize)).attr("dominant-baseline",(t=>u(t.text.horizontalPos))).attr("text-anchor",(t=>l(t.text.verticalPos))).attr("transform",(t=>h(t.text)))}},styles:()=>""}},4019:(t,e,n)=>{"use strict";n.r(e),n.d(e,{diagram:()=>T});var i=n(9339),r=n(7274),a=n(3771),o=n(5625),s=(n(7484),n(7967),n(7856),function(){var t=function(t,e,n,i){for(n=n||{},i=t.length;i--;n[t[i]]=e);return 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58:a[s-2]=[].concat(a[s-1],a[s-1]).slice(0,2),a[s-2][0]=a[s-2][0].actor,a[s-2][1]=a[s-2][1].actor,this.$=[a[s-1],{type:"addNote",placement:i.PLACEMENT.OVER,actor:a[s-2].slice(0,2),text:a[s]}];break;case 59:this.$=[a[s-1],{type:"addLinks",actor:a[s-1].actor,text:a[s]}];break;case 60:this.$=[a[s-1],{type:"addALink",actor:a[s-1].actor,text:a[s]}];break;case 61:this.$=[a[s-1],{type:"addProperties",actor:a[s-1].actor,text:a[s]}];break;case 62:this.$=[a[s-1],{type:"addDetails",actor:a[s-1].actor,text:a[s]}];break;case 65:this.$=[a[s-2],a[s]];break;case 67:this.$=i.PLACEMENT.LEFTOF;break;case 68:this.$=i.PLACEMENT.RIGHTOF;break;case 69:this.$=[a[s-4],a[s-1],{type:"addMessage",from:a[s-4].actor,to:a[s-1].actor,signalType:a[s-3],msg:a[s]},{type:"activeStart",signalType:i.LINETYPE.ACTIVE_START,actor:a[s-1]}];break;case 70:this.$=[a[s-4],a[s-1],{type:"addMessage",from:a[s-4].actor,to:a[s-1].actor,signalType:a[s-3],msg:a[s]},{type:"activeEnd",signalType:i.LINETYPE.ACTIVE_END,actor:a[s-4]}];break;case 71:this.$=[a[s-3],a[s-1],{type:"addMessage",from:a[s-3].actor,to:a[s-1].actor,signalType:a[s-2],msg:a[s]}];break;case 72:this.$={type:"addParticipant",actor:a[s]};break;case 73:this.$=i.LINETYPE.SOLID_OPEN;break;case 74:this.$=i.LINETYPE.DOTTED_OPEN;break;case 75:this.$=i.LINETYPE.SOLID;break;case 76:this.$=i.LINETYPE.DOTTED;break;case 77:this.$=i.LINETYPE.SOLID_CROSS;break;case 78:this.$=i.LINETYPE.DOTTED_CROSS;break;case 79:this.$=i.LINETYPE.SOLID_POINT;break;case 80:this.$=i.LINETYPE.DOTTED_POINT;break;case 81:this.$=i.parseMessage(a[s].trim().substring(1));break;case 82:i.parseDirective("%%{","open_directive");break;case 83:i.parseDirective(a[s],"type_directive");break;case 84:a[s]=a[s].trim().replace(/'/g,'"'),i.parseDirective(a[s],"arg_directive");break;case 85:i.parseDirective("}%%","close_directive","sequence")}},table:[{3:1,4:e,5:n,6:4,7:i,14:6,86:r},{1:[3]},{3:8,4:e,5:n,6:4,7:i,14:6,86:r},{3:9,4:e,5:n,6:4,7:i,14:6,86:r},{3:10,4:e,5:n,6:4,7:i,14:6,86:r},t([1,4,5,19,20,24,27,29,35,36,37,39,41,42,43,44,45,47,49,50,52,56,58,59,60,65,66,67,68,76,86],a,{8:11}),{15:12,87:[1,13]},{87:[2,82]},{1:[2,1]},{1:[2,2]},{1:[2,3]},{1:[2,4],4:o,5:s,6:43,9:14,10:16,13:18,14:6,19:c,20:u,23:21,24:l,27:h,28:47,29:f,30:25,31:26,32:27,33:28,34:29,35:d,36:g,37:p,39:b,41:w,42:y,43:m,44:v,45:x,47:k,49:_,50:E,52:T,56:C,58:S,59:A,60:M,65:I,66:L,67:D,68:O,76:N,86:r},{16:54,17:[1,55],89:P},t([17,89],[2,83]),t(B,[2,6]),{6:43,10:57,13:18,14:6,19:c,20:u,23:21,24:l,27:h,28:47,29:f,30:25,31:26,32:27,33:28,34:29,35:d,36:g,37:p,39:b,41:w,42:y,43:m,44:v,45:x,47:k,49:_,50:E,52:T,56:C,58:S,59:A,60:M,65:I,66:L,67:D,68:O,76:N,86:r},t(B,[2,8]),t(B,[2,9]),t(B,[2,17]),{13:58,56:C,58:S,59:A},{21:[1,59]},{5:[1,60]},{5:[1,63],25:[1,61],26:[1,62]},{28:64,76:N},{28:65,76:N},{5:[1,66]},{5:[1,67]},{5:[1,68]},{5:[1,69]},{5:[1,70]},t(B,[2,32]),t(B,[2,33]),{38:[1,71]},{40:[1,72]},t(B,[2,36]),{21:[1,73]},{21:[1,74]},{21:[1,75]},{21:[1,76]},{21:[1,77]},{21:[1,78]},{21:[1,79]},{21:[1,80]},t(B,[2,45]),{28:81,76:N},{28:82,76:N},{28:83,76:N},{73:84,77:[1,85],78:[1,86],79:[1,87],80:[1,88],81:[1,89],82:[1,90],83:[1,91],84:[1,92]},{61:93,63:[1,94],71:[1,95],72:[1,96]},{28:97,76:N},{28:98,76:N},{28:99,76:N},{28:100,76:N},t([5,57,70,77,78,79,80,81,82,83,84,85],[2,72]),{5:[1,101]},{18:102,88:[1,103]},{5:[2,85]},t(B,[2,7]),t(B,[2,18]),t(F,[2,10],{11:104}),t(B,[2,20]),{5:[1,106],25:[1,105]},{5:[1,107]},t(B,[2,24]),{5:[1,108]},{5:[1,109]},t(B,[2,27]),t(B,[2,28]),t(B,[2,29]),t(B,[2,30]),t(B,[2,31]),t(B,[2,34]),t(B,[2,35]),t(R,a,{8:110}),t(R,a,{8:111}),t(R,a,{8:112}),t($,a,{46:113,8:114}),t(j,a,{48:115,8:116}),t(j,a,{8:116,48:117}),t(z,a,{51:118,8:119}),t(R,a,{8:120}),{5:[1,122],57:[1,121]},{5:[1,124],57:[1,123]},{5:[1,125]},{28:128,74:[1,126],75:[1,127],76:N},t(q,[2,73]),t(q,[2,74]),t(q,[2,75]),t(q,[2,76]),t(q,[2,77]),t(q,[2,78]),t(q,[2,79]),t(q,[2,80]),{28:129,76:N},{28:131,64:130,76:N},{76:[2,67]},{76:[2,68]},{62:132,85:H},{62:134,85:H},{62:135,85:H},{62:136,85:H},t(Z,[2,15]),{16:137,89:P},{89:[2,84]},{4:[1,140],5:[1,142],12:139,13:141,22:[1,138],56:C,58:S,59:A},{5:[1,143]},t(B,[2,22]),t(B,[2,23]),t(B,[2,25]),t(B,[2,26]),{4:o,5:s,6:43,9:14,10:16,13:18,14:6,19:c,20:u,22:[1,144],23:21,24:l,27:h,28:47,29:f,30:25,31:26,32:27,33:28,34:29,35:d,36:g,37:p,39:b,41:w,42:y,43:m,44:v,45:x,47:k,49:_,50:E,52:T,56:C,58:S,59:A,60:M,65:I,66:L,67:D,68:O,76:N,86:r},{4:o,5:s,6:43,9:14,10:16,13:18,14:6,19:c,20:u,22:[1,145],23:21,24:l,27:h,28:47,29:f,30:25,31:26,32:27,33:28,34:29,35:d,36:g,37:p,39:b,41:w,42:y,43:m,44:v,45:x,47:k,49:_,50:E,52:T,56:C,58:S,59:A,60:M,65:I,66:L,67:D,68:O,76:N,86:r},{4:o,5:s,6:43,9:14,10:16,13:18,14:6,19:c,20:u,22:[1,146],23:21,24:l,27:h,28:47,29:f,30:25,31:26,32:27,33:28,34:29,35:d,36:g,37:p,39:b,41:w,42:y,43:m,44:v,45:x,47:k,49:_,50:E,52:T,56:C,58:S,59:A,60:M,65:I,66:L,67:D,68:O,76:N,86:r},{22:[1,147]},{4:o,5:s,6:43,9:14,10:16,13:18,14:6,19:c,20:u,22:[2,50],23:21,24:l,27:h,28:47,29:f,30:25,31:26,32:27,33:28,34:29,35:d,36:g,37:p,39:b,41:w,42:y,43:m,44:v,45:x,47:k,49:_,50:E,52:T,55:[1,148],56:C,58:S,59:A,60:M,65:I,66:L,67:D,68:O,76:N,86:r},{22:[1,149]},{4:o,5:s,6:43,9:14,10:16,13:18,14:6,19:c,20:u,22:[2,48],23:21,24:l,27:h,28:47,29:f,30:25,31:26,32:27,33:28,34:29,35:d,36:g,37:p,39:b,41:w,42:y,43:m,44:v,45:x,47:k,49:_,50:E,52:T,54:[1,150],56:C,58:S,59:A,60:M,65:I,66:L,67:D,68:O,76:N,86:r},{22:[1,151]},{22:[1,152]},{4:o,5:s,6:43,9:14,10:16,13:18,14:6,19:c,20:u,22:[2,46],23:21,24:l,27:h,28:47,29:f,30:25,31:26,32:27,33:28,34:29,35:d,36:g,37:p,39:b,41:w,42:y,43:m,44:v,45:x,47:k,49:_,50:E,52:T,53:[1,153],56:C,58:S,59:A,60:M,65:I,66:L,67:D,68:O,76:N,86:r},{4:o,5:s,6:43,9:14,10:16,13:18,14:6,19:c,20:u,22:[1,154],23:21,24:l,27:h,28:47,29:f,30:25,31:26,32:27,33:28,34:29,35:d,36:g,37:p,39:b,41:w,42:y,43:m,44:v,45:x,47:k,49:_,50:E,52:T,56:C,58:S,59:A,60:M,65:I,66:L,67:D,68:O,76:N,86:r},{21:[1,155]},t(B,[2,53]),{21:[1,156]},t(B,[2,55]),t(B,[2,56]),{28:157,76:N},{28:158,76:N},{62:159,85:H},{62:160,85:H},{62:161,85:H},{70:[1,162],85:[2,66]},{5:[2,59]},{5:[2,81]},{5:[2,60]},{5:[2,61]},{5:[2,62]},{5:[1,163]},t(B,[2,19]),t(F,[2,11]),{13:164,56:C,58:S,59:A},t(F,[2,13]),t(F,[2,14]),t(B,[2,21]),t(B,[2,37]),t(B,[2,38]),t(B,[2,39]),t(B,[2,40]),{21:[1,165]},t(B,[2,41]),{21:[1,166]},t(B,[2,42]),t(B,[2,43]),{21:[1,167]},t(B,[2,44]),{5:[1,168]},{5:[1,169]},{62:170,85:H},{62:171,85:H},{5:[2,71]},{5:[2,57]},{5:[2,58]},{28:172,76:N},t(Z,[2,16]),t(F,[2,12]),t($,a,{8:114,46:173}),t(j,a,{8:116,48:174}),t(z,a,{8:119,51:175}),t(B,[2,52]),t(B,[2,54]),{5:[2,69]},{5:[2,70]},{85:[2,65]},{22:[2,51]},{22:[2,49]},{22:[2,47]}],defaultActions:{7:[2,82],8:[2,1],9:[2,2],10:[2,3],56:[2,85],95:[2,67],96:[2,68],103:[2,84],132:[2,59],133:[2,81],134:[2,60],135:[2,61],136:[2,62],159:[2,71],160:[2,57],161:[2,58],170:[2,69],171:[2,70],172:[2,65],173:[2,51],174:[2,49],175:[2,47]},parseError:function(t,e){if(!e.recoverable){var n=new Error(t);throw n.hash=e,n}this.trace(t)},parse:function(t){var e=this,n=[0],i=[],r=[null],a=[],o=this.table,s="",c=0,u=0,l=2,h=1,f=a.slice.call(arguments,1),d=Object.create(this.lexer),g={yy:{}};for(var p in this.yy)Object.prototype.hasOwnProperty.call(this.yy,p)&&(g.yy[p]=this.yy[p]);d.setInput(t,g.yy),g.yy.lexer=d,g.yy.parser=this,void 0===d.yylloc&&(d.yylloc={});var b=d.yylloc;a.push(b);var w=d.options&&d.options.ranges;function y(){var t;return"number"!=typeof(t=i.pop()||d.lex()||h)&&(t instanceof Array&&(t=(i=t).pop()),t=e.symbols_[t]||t),t}"function"==typeof g.yy.parseError?this.parseError=g.yy.parseError:this.parseError=Object.getPrototypeOf(this).parseError;for(var m,v,x,k,_,E,T,C,S={};;){if(v=n[n.length-1],this.defaultActions[v]?x=this.defaultActions[v]:(null==m&&(m=y()),x=o[v]&&o[v][m]),void 0===x||!x.length||!x[0]){var A="";for(_ in C=[],o[v])this.terminals_[_]&&_>l&&C.push("'"+this.terminals_[_]+"'");A=d.showPosition?"Parse error on line "+(c+1)+":\n"+d.showPosition()+"\nExpecting "+C.join(", ")+", got '"+(this.terminals_[m]||m)+"'":"Parse error on line "+(c+1)+": Unexpected "+(m==h?"end of input":"'"+(this.terminals_[m]||m)+"'"),this.parseError(A,{text:d.match,token:this.terminals_[m]||m,line:d.yylineno,loc:b,expected:C})}if(x[0]instanceof Array&&x.length>1)throw new Error("Parse Error: multiple actions possible at state: "+v+", token: "+m);switch(x[0]){case 1:n.push(m),r.push(d.yytext),a.push(d.yylloc),n.push(x[1]),m=null,u=d.yyleng,s=d.yytext,c=d.yylineno,b=d.yylloc;break;case 2:if(E=this.productions_[x[1]][1],S.$=r[r.length-E],S._$={first_line:a[a.length-(E||1)].first_line,last_line:a[a.length-1].last_line,first_column:a[a.length-(E||1)].first_column,last_column:a[a.length-1].last_column},w&&(S._$.range=[a[a.length-(E||1)].range[0],a[a.length-1].range[1]]),void 0!==(k=this.performAction.apply(S,[s,u,c,g.yy,x[1],r,a].concat(f))))return k;E&&(n=n.slice(0,-1*E*2),r=r.slice(0,-1*E),a=a.slice(0,-1*E)),n.push(this.productions_[x[1]][0]),r.push(S.$),a.push(S._$),T=o[n[n.length-2]][n[n.length-1]],n.push(T);break;case 3:return!0}}return!0}},Y={EOF:1,parseError:function(t,e){if(!this.yy.parser)throw new Error(t);this.yy.parser.parseError(t,e)},setInput:function(t,e){return this.yy=e||this.yy||{},this._input=t,this._more=this._backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match="",this.conditionStack=["INITIAL"],this.yylloc={first_line:1,first_column:0,last_line:1,last_column:0},this.options.ranges&&(this.yylloc.range=[0,0]),this.offset=0,this},input:function(){var t=this._input[0];return this.yytext+=t,this.yyleng++,this.offset++,this.match+=t,this.matched+=t,t.match(/(?:\r\n?|\n).*/g)?(this.yylineno++,this.yylloc.last_line++):this.yylloc.last_column++,this.options.ranges&&this.yylloc.range[1]++,this._input=this._input.slice(1),t},unput:function(t){var e=t.length,n=t.split(/(?:\r\n?|\n)/g);this._input=t+this._input,this.yytext=this.yytext.substr(0,this.yytext.length-e),this.offset-=e;var i=this.match.split(/(?:\r\n?|\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),n.length-1&&(this.yylineno-=n.length-1);var r=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:n?(n.length===i.length?this.yylloc.first_column:0)+i[i.length-n.length].length-n[0].length:this.yylloc.first_column-e},this.options.ranges&&(this.yylloc.range=[r[0],r[0]+this.yyleng-e]),this.yyleng=this.yytext.length,this},more:function(){return this._more=!0,this},reject:function(){return this.options.backtrack_lexer?(this._backtrack=!0,this):this.parseError("Lexical error on line "+(this.yylineno+1)+". You can only invoke reject() in the lexer when the lexer is of the backtracking persuasion (options.backtrack_lexer = true).\n"+this.showPosition(),{text:"",token:null,line:this.yylineno})},less:function(t){this.unput(this.match.slice(t))},pastInput:function(){var t=this.matched.substr(0,this.matched.length-this.match.length);return(t.length>20?"...":"")+t.substr(-20).replace(/\n/g,"")},upcomingInput:function(){var t=this.match;return t.length<20&&(t+=this._input.substr(0,20-t.length)),(t.substr(0,20)+(t.length>20?"...":"")).replace(/\n/g,"")},showPosition:function(){var t=this.pastInput(),e=new Array(t.length+1).join("-");return t+this.upcomingInput()+"\n"+e+"^"},test_match:function(t,e){var n,i,r;if(this.options.backtrack_lexer&&(r={yylineno:this.yylineno,yylloc:{first_line:this.yylloc.first_line,last_line:this.last_line,first_column:this.yylloc.first_column,last_column:this.yylloc.last_column},yytext:this.yytext,match:this.match,matches:this.matches,matched:this.matched,yyleng:this.yyleng,offset:this.offset,_more:this._more,_input:this._input,yy:this.yy,conditionStack:this.conditionStack.slice(0),done:this.done},this.options.ranges&&(r.yylloc.range=this.yylloc.range.slice(0))),(i=t[0].match(/(?:\r\n?|\n).*/g))&&(this.yylineno+=i.length),this.yylloc={first_line:this.yylloc.last_line,last_line:this.yylineno+1,first_column:this.yylloc.last_column,last_column:i?i[i.length-1].length-i[i.length-1].match(/\r?\n?/)[0].length:this.yylloc.last_column+t[0].length},this.yytext+=t[0],this.match+=t[0],this.matches=t,this.yyleng=this.yytext.length,this.options.ranges&&(this.yylloc.range=[this.offset,this.offset+=this.yyleng]),this._more=!1,this._backtrack=!1,this._input=this._input.slice(t[0].length),this.matched+=t[0],n=this.performAction.call(this,this.yy,this,e,this.conditionStack[this.conditionStack.length-1]),this.done&&this._input&&(this.done=!1),n)return n;if(this._backtrack){for(var a in r)this[a]=r[a];return!1}return!1},next:function(){if(this.done)return this.EOF;var t,e,n,i;this._input||(this.done=!0),this._more||(this.yytext="",this.match="");for(var r=this._currentRules(),a=0;a<r.length;a++)if((n=this._input.match(this.rules[r[a]]))&&(!e||n[0].length>e[0].length)){if(e=n,i=a,this.options.backtrack_lexer){if(!1!==(t=this.test_match(n,r[a])))return t;if(this._backtrack){e=!1;continue}return!1}if(!this.options.flex)break}return e?!1!==(t=this.test_match(e,r[i]))&&t:""===this._input?this.EOF:this.parseError("Lexical error on line "+(this.yylineno+1)+". Unrecognized text.\n"+this.showPosition(),{text:"",token:null,line:this.yylineno})},lex:function(){var t=this.next();return t||this.lex()},begin:function(t){this.conditionStack.push(t)},popState:function(){return this.conditionStack.length-1>0?this.conditionStack.pop():this.conditionStack[0]},_currentRules:function(){return this.conditionStack.length&&this.conditionStack[this.conditionStack.length-1]?this.conditions[this.conditionStack[this.conditionStack.length-1]].rules:this.conditions.INITIAL.rules},topState:function(t){return(t=this.conditionStack.length-1-Math.abs(t||0))>=0?this.conditionStack[t]:"INITIAL"},pushState:function(t){this.begin(t)},stateStackSize:function(){return this.conditionStack.length},options:{"case-insensitive":!0},performAction:function(t,e,n,i){switch(n){case 0:return this.begin("open_directive"),86;case 1:return this.begin("type_directive"),87;case 2:return this.popState(),this.begin("arg_directive"),17;case 3:return this.popState(),this.popState(),89;case 4:return 88;case 5:case 56:case 69:return 5;case 6:case 7:case 8:case 9:case 10:break;case 11:return 25;case 12:return this.begin("LINE"),20;case 13:return this.begin("ID"),56;case 14:return this.begin("ID"),58;case 15:return 19;case 16:return this.begin("ID"),59;case 17:return e.yytext=e.yytext.trim(),this.begin("ALIAS"),76;case 18:return this.popState(),this.popState(),this.begin("LINE"),57;case 19:return this.popState(),this.popState(),5;case 20:return this.begin("LINE"),42;case 21:return this.begin("LINE"),43;case 22:return this.begin("LINE"),44;case 23:return this.begin("LINE"),45;case 24:return this.begin("LINE"),55;case 25:return this.begin("LINE"),47;case 26:return this.begin("LINE"),49;case 27:return this.begin("LINE"),54;case 28:return this.begin("LINE"),50;case 29:return this.begin("LINE"),53;case 30:return this.begin("LINE"),52;case 31:return this.popState(),21;case 32:return 22;case 33:return 71;case 34:return 72;case 35:return 65;case 36:return 66;case 37:return 67;case 38:return 68;case 39:return 63;case 40:return 60;case 41:return this.begin("ID"),27;case 42:return this.begin("ID"),29;case 43:return 35;case 44:return 36;case 45:return this.begin("acc_title"),37;case 46:return this.popState(),"acc_title_value";case 47:return this.begin("acc_descr"),39;case 48:return this.popState(),"acc_descr_value";case 49:this.begin("acc_descr_multiline");break;case 50:this.popState();break;case 51:return"acc_descr_multiline_value";case 52:return 7;case 53:return 24;case 54:return 26;case 55:return 70;case 57:return e.yytext=e.yytext.trim(),76;case 58:return 79;case 59:return 80;case 60:return 77;case 61:return 78;case 62:return 81;case 63:return 82;case 64:return 83;case 65:return 84;case 66:return 85;case 67:return 74;case 68:return 75;case 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c=r.sequenceItems.length-a+1;r.updateVal(s,"starty",e-c*G.boxMargin,Math.min),r.updateVal(s,"stopy",i+c*G.boxMargin,Math.max),r.updateVal(K.data,"startx",t-c*G.boxMargin,Math.min),r.updateVal(K.data,"stopx",n+c*G.boxMargin,Math.max),"activation"!==o&&(r.updateVal(s,"startx",t-c*G.boxMargin,Math.min),r.updateVal(s,"stopx",n+c*G.boxMargin,Math.max),r.updateVal(K.data,"starty",e-c*G.boxMargin,Math.min),r.updateVal(K.data,"stopy",i+c*G.boxMargin,Math.max))}}this.sequenceItems.forEach(o()),this.activations.forEach(o("activation"))},insert:function(t,e,n,r){const a=i.e.getMin(t,n),o=i.e.getMax(t,n),s=i.e.getMin(e,r),c=i.e.getMax(e,r);this.updateVal(K.data,"startx",a,Math.min),this.updateVal(K.data,"starty",s,Math.min),this.updateVal(K.data,"stopx",o,Math.max),this.updateVal(K.data,"stopy",c,Math.max),this.updateBounds(a,s,o,c)},newActivation:function(t,e,n){const i=n[t.from.actor],r=et(t.from.actor).length||0,a=i.x+i.width/2+(r-1)*G.activationWidth/2;this.activations.push({startx:a,starty:this.verticalPos+2,stopx:a+G.activationWidth,stopy:void 0,actor:t.from.actor,anchored:Y.anchorElement(e)})},endActivation:function(t){const e=this.activations.map((function(t){return t.actor})).lastIndexOf(t.from.actor);return this.activations.splice(e,1)[0]},createLoop:function(t={message:void 0,wrap:!1,width:void 0},e){return{startx:void 0,starty:this.verticalPos,stopx:void 0,stopy:void 0,title:t.message,wrap:t.wrap,width:t.width,height:0,fill:e}},newLoop:function(t={message:void 0,wrap:!1,width:void 0},e){this.sequenceItems.push(this.createLoop(t,e))},endLoop:function(){return this.sequenceItems.pop()},isLoopOverlap:function(){return!!this.sequenceItems.length&&this.sequenceItems[this.sequenceItems.length-1].overlap},addSectionToLoop:function(t){const e=this.sequenceItems.pop();e.sections=e.sections||[],e.sectionTitles=e.sectionTitles||[],e.sections.push({y:K.getVerticalPos(),height:0}),e.sectionTitles.push(t),this.sequenceItems.push(e)},saveVerticalPos:function(){this.isLoopOverlap()&&(this.savedVerticalPos=this.verticalPos)},resetVerticalPos:function(){this.isLoopOverlap()&&(this.verticalPos=this.savedVerticalPos)},bumpVerticalPos:function(t){this.verticalPos=this.verticalPos+t,this.data.stopy=i.e.getMax(this.data.stopy,this.verticalPos)},getVerticalPos:function(){return this.verticalPos},getBounds:function(){return{bounds:this.data,models:this.models}}},W=t=>({fontFamily:t.messageFontFamily,fontSize:t.messageFontSize,fontWeight:t.messageFontWeight}),X=t=>({fontFamily:t.noteFontFamily,fontSize:t.noteFontSize,fontWeight:t.noteFontWeight}),V=t=>({fontFamily:t.actorFontFamily,fontSize:t.actorFontSize,fontWeight:t.actorFontWeight});const Q=function(t,e,n,r){if(r){let r=0;K.bumpVerticalPos(2*G.boxMargin);for(const a of n){const n=e[a];n.stopy||(n.stopy=K.getVerticalPos());const o=Y.drawActor(t,n,G,!0);r=i.e.getMax(r,o)}K.bumpVerticalPos(r+G.boxMargin)}else for(const i of n){const n=e[i];Y.drawActor(t,n,G,!1)}},J=function(t,e,n,i){let r=0,a=0;for(const o of n){const n=e[o],s=rt(n),c=Y.drawPopup(t,n,s,G,G.forceMenus,i);c.height>r&&(r=c.height),c.width+n.x>a&&(a=c.width+n.x)}return{maxHeight:r,maxWidth:a}},tt=function(t){(0,i.f)(G,t),t.fontFamily&&(G.actorFontFamily=G.noteFontFamily=G.messageFontFamily=t.fontFamily),t.fontSize&&(G.actorFontSize=G.noteFontSize=G.messageFontSize=t.fontSize),t.fontWeight&&(G.actorFontWeight=G.noteFontWeight=G.messageFontWeight=t.fontWeight)},et=function(t){return K.activations.filter((function(e){return e.actor===t}))},nt=function(t,e){const n=e[t],r=et(t);return[r.reduce((function(t,e){return i.e.getMin(t,e.startx)}),n.x+n.width/2),r.reduce((function(t,e){return i.e.getMax(t,e.stopx)}),n.x+n.width/2)]};function it(t,e,n,r,a){K.bumpVerticalPos(n);let o=r;if(e.id&&e.message&&t[e.id]){const n=t[e.id].width,a=W(G);e.message=i.u.wrapLabel(`[${e.message}]`,n-2*G.wrapPadding,a),e.width=n,e.wrap=!0;const s=i.u.calculateTextDimensions(e.message,a),c=i.e.getMax(s.height,G.labelBoxHeight);o=r+c,i.l.debug(`${c} - ${e.message}`)}a(e),K.bumpVerticalPos(o)}const rt=function(t){let e=0;const n=V(G);for(const r in t.links){const t=i.u.calculateTextDimensions(r,n).width+2*G.wrapPadding+2*G.boxMargin;e<t&&(e=t)}return e};const at=function(t,e,n,r){const a={},o=[];let s,c,u;return t.forEach((function(t){switch(t.id=i.u.random({length:10}),t.type){case r.db.LINETYPE.LOOP_START:case r.db.LINETYPE.ALT_START:case r.db.LINETYPE.OPT_START:case r.db.LINETYPE.PAR_START:case r.db.LINETYPE.PAR_OVER_START:case r.db.LINETYPE.CRITICAL_START:case r.db.LINETYPE.BREAK_START:o.push({id:t.id,msg:t.message,from:Number.MAX_SAFE_INTEGER,to:Number.MIN_SAFE_INTEGER,width:0});break;case r.db.LINETYPE.ALT_ELSE:case r.db.LINETYPE.PAR_AND:case r.db.LINETYPE.CRITICAL_OPTION:t.message&&(s=o.pop(),a[s.id]=s,a[t.id]=s,o.push(s));break;case r.db.LINETYPE.LOOP_END:case r.db.LINETYPE.ALT_END:case r.db.LINETYPE.OPT_END:case r.db.LINETYPE.PAR_END:case r.db.LINETYPE.CRITICAL_END:case r.db.LINETYPE.BREAK_END:s=o.pop(),a[s.id]=s;break;case r.db.LINETYPE.ACTIVE_START:{const n=e[t.from?t.from.actor:t.to.actor],i=et(t.from?t.from.actor:t.to.actor).length,r=n.x+n.width/2+(i-1)*G.activationWidth/2,a={startx:r,stopx:r+G.activationWidth,actor:t.from.actor,enabled:!0};K.activations.push(a)}break;case r.db.LINETYPE.ACTIVE_END:{const e=K.activations.map((t=>t.actor)).lastIndexOf(t.from.actor);delete K.activations.splice(e,1)[0]}}void 0!==t.placement?(c=function(t,e,n){const r=e[t.from].x,a=e[t.to].x,o=t.wrap&&t.message;let s=i.u.calculateTextDimensions(o?i.u.wrapLabel(t.message,G.width,X(G)):t.message,X(G));const c={width:o?G.width:i.e.getMax(G.width,s.width+2*G.noteMargin),height:0,startx:e[t.from].x,stopx:0,starty:0,stopy:0,message:t.message};return t.placement===n.db.PLACEMENT.RIGHTOF?(c.width=o?i.e.getMax(G.width,s.width):i.e.getMax(e[t.from].width/2+e[t.to].width/2,s.width+2*G.noteMargin),c.startx=r+(e[t.from].width+G.actorMargin)/2):t.placement===n.db.PLACEMENT.LEFTOF?(c.width=o?i.e.getMax(G.width,s.width+2*G.noteMargin):i.e.getMax(e[t.from].width/2+e[t.to].width/2,s.width+2*G.noteMargin),c.startx=r-c.width+(e[t.from].width-G.actorMargin)/2):t.to===t.from?(s=i.u.calculateTextDimensions(o?i.u.wrapLabel(t.message,i.e.getMax(G.width,e[t.from].width),X(G)):t.message,X(G)),c.width=o?i.e.getMax(G.width,e[t.from].width):i.e.getMax(e[t.from].width,G.width,s.width+2*G.noteMargin),c.startx=r+(e[t.from].width-c.width)/2):(c.width=Math.abs(r+e[t.from].width/2-(a+e[t.to].width/2))+G.actorMargin,c.startx=r<a?r+e[t.from].width/2-G.actorMargin/2:a+e[t.to].width/2-G.actorMargin/2),o&&(c.message=i.u.wrapLabel(t.message,c.width-2*G.wrapPadding,X(G))),i.l.debug(`NM:[${c.startx},${c.stopx},${c.starty},${c.stopy}:${c.width},${c.height}=${t.message}]`),c}(t,e,r),t.noteModel=c,o.forEach((t=>{s=t,s.from=i.e.getMin(s.from,c.startx),s.to=i.e.getMax(s.to,c.startx+c.width),s.width=i.e.getMax(s.width,Math.abs(s.from-s.to))-G.labelBoxWidth}))):(u=function(t,e,n){let r=!1;if([n.db.LINETYPE.SOLID_OPEN,n.db.LINETYPE.DOTTED_OPEN,n.db.LINETYPE.SOLID,n.db.LINETYPE.DOTTED,n.db.LINETYPE.SOLID_CROSS,n.db.LINETYPE.DOTTED_CROSS,n.db.LINETYPE.SOLID_POINT,n.db.LINETYPE.DOTTED_POINT].includes(t.type)&&(r=!0),!r)return{};const a=nt(t.from,e),o=nt(t.to,e),s=a[0]<=o[0]?1:0,c=a[0]<o[0]?0:1,u=[...a,...o],l=Math.abs(o[c]-a[s]);t.wrap&&t.message&&(t.message=i.u.wrapLabel(t.message,i.e.getMax(l+2*G.wrapPadding,G.width),W(G)));const h=i.u.calculateTextDimensions(t.message,W(G));return{width:i.e.getMax(t.wrap?0:h.width+2*G.wrapPadding,l+2*G.wrapPadding,G.width),height:0,startx:a[s],stopx:o[c],starty:0,stopy:0,message:t.message,type:t.type,wrap:t.wrap,fromBounds:Math.min.apply(null,u),toBounds:Math.max.apply(null,u)}}(t,e,r),t.msgModel=u,u.startx&&u.stopx&&o.length>0&&o.forEach((n=>{if(s=n,u.startx===u.stopx){const n=e[t.from],r=e[t.to];s.from=i.e.getMin(n.x-u.width/2,n.x-n.width/2,s.from),s.to=i.e.getMax(r.x+u.width/2,r.x+n.width/2,s.to),s.width=i.e.getMax(s.width,Math.abs(s.to-s.from))-G.labelBoxWidth}else s.from=i.e.getMin(u.startx,s.from),s.to=i.e.getMax(u.stopx,s.to),s.width=i.e.getMax(s.width,u.width)-G.labelBoxWidth})))})),K.activations=[],i.l.debug("Loop type widths:",a),a},ot={parser:c,db:D,renderer:{bounds:K,drawActors:Q,drawActorsPopup:J,setConf:tt,draw:function(t,e,n,o){const{securityLevel:s,sequence:c}=(0,i.c)();let u;G=c,"sandbox"===s&&(u=(0,r.Ys)("#i"+e));const l="sandbox"===s?(0,r.Ys)(u.nodes()[0].contentDocument.body):(0,r.Ys)("body"),h="sandbox"===s?u.nodes()[0].contentDocument:document;K.init(),i.l.debug(o.db);const f="sandbox"===s?l.select(`[id="${e}"]`):(0,r.Ys)(`[id="${e}"]`),d=o.db.getActors(),g=o.db.getCreatedActors(),p=o.db.getDestroyedActors(),b=o.db.getBoxes();let w=o.db.getActorKeys();const y=o.db.getMessages(),m=o.db.getDiagramTitle(),v=o.db.hasAtLeastOneBox(),x=o.db.hasAtLeastOneBoxWithTitle(),k=function(t,e,n){const r={};return e.forEach((function(e){if(t[e.to]&&t[e.from]){const a=t[e.to];if(e.placement===n.db.PLACEMENT.LEFTOF&&!a.prevActor)return;if(e.placement===n.db.PLACEMENT.RIGHTOF&&!a.nextActor)return;const o=void 0!==e.placement,s=!o,c=o?X(G):W(G),u=e.wrap?i.u.wrapLabel(e.message,G.width-2*G.wrapPadding,c):e.message,l=i.u.calculateTextDimensions(u,c).width+2*G.wrapPadding;s&&e.from===a.nextActor?r[e.to]=i.e.getMax(r[e.to]||0,l):s&&e.from===a.prevActor?r[e.from]=i.e.getMax(r[e.from]||0,l):s&&e.from===e.to?(r[e.from]=i.e.getMax(r[e.from]||0,l/2),r[e.to]=i.e.getMax(r[e.to]||0,l/2)):e.placement===n.db.PLACEMENT.RIGHTOF?r[e.from]=i.e.getMax(r[e.from]||0,l):e.placement===n.db.PLACEMENT.LEFTOF?r[a.prevActor]=i.e.getMax(r[a.prevActor]||0,l):e.placement===n.db.PLACEMENT.OVER&&(a.prevActor&&(r[a.prevActor]=i.e.getMax(r[a.prevActor]||0,l/2)),a.nextActor&&(r[e.from]=i.e.getMax(r[e.from]||0,l/2)))}})),i.l.debug("maxMessageWidthPerActor:",r),r}(d,y,o);if(G.height=function(t,e,n){let r=0;Object.keys(t).forEach((e=>{const n=t[e];n.wrap&&(n.description=i.u.wrapLabel(n.description,G.width-2*G.wrapPadding,V(G)));const a=i.u.calculateTextDimensions(n.description,V(G));n.width=n.wrap?G.width:i.e.getMax(G.width,a.width+2*G.wrapPadding),n.height=n.wrap?i.e.getMax(a.height,G.height):G.height,r=i.e.getMax(r,n.height)}));for(const n in e){const r=t[n];if(!r)continue;const a=t[r.nextActor];if(!a){const t=e[n]+G.actorMargin-r.width/2;r.margin=i.e.getMax(t,G.actorMargin);continue}const o=e[n]+G.actorMargin-r.width/2-a.width/2;r.margin=i.e.getMax(o,G.actorMargin)}let a=0;return n.forEach((e=>{const n=W(G);let r=e.actorKeys.reduce(((e,n)=>e+(t[n].width+(t[n].margin||0))),0);r-=2*G.boxTextMargin,e.wrap&&(e.name=i.u.wrapLabel(e.name,r-2*G.wrapPadding,n));const o=i.u.calculateTextDimensions(e.name,n);a=i.e.getMax(o.height,a);const s=i.e.getMax(r,o.width+2*G.wrapPadding);if(e.margin=G.boxTextMargin,r<s){const t=(s-r)/2;e.margin+=t}})),n.forEach((t=>t.textMaxHeight=a)),i.e.getMax(r,G.height)}(d,k,b),Y.insertComputerIcon(f),Y.insertDatabaseIcon(f),Y.insertClockIcon(f),v&&(K.bumpVerticalPos(G.boxMargin),x&&K.bumpVerticalPos(b[0].textMaxHeight)),!0===G.hideUnusedParticipants){const t=new Set;y.forEach((e=>{t.add(e.from),t.add(e.to)})),w=w.filter((e=>t.has(e)))}!function(t,e,n,r,a,o,s){let c,u=0,l=0,h=0;for(const t of r){const r=e[t],o=r.box;c&&c!=o&&(s||K.models.addBox(c),l+=G.boxMargin+c.margin),o&&o!=c&&(s||(o.x=u+l,o.y=a),l+=o.margin),r.width=r.width||G.width,r.height=i.e.getMax(r.height||G.height,G.height),r.margin=r.margin||G.actorMargin,h=i.e.getMax(h,r.height),n[r.name]&&(l+=r.width/2),r.x=u+l,r.starty=K.getVerticalPos(),K.insert(r.x,a,r.x+r.width,r.height),u+=r.width+l,r.box&&(r.box.width=u+o.margin-r.box.x),l=r.margin,c=r.box,K.models.addActor(r)}c&&!s&&K.models.addBox(c),K.bumpVerticalPos(h)}(0,d,g,w,0,0,!1);const _=at(y,d,k,o);Y.insertArrowHead(f),Y.insertArrowCrossHead(f),Y.insertArrowFilledHead(f),Y.insertSequenceNumber(f);let E=1,T=1;const C=[],S=[];y.forEach((function(t,e){let n,r,s;switch(t.type){case o.db.LINETYPE.NOTE:K.resetVerticalPos(),r=t.noteModel,function(t,e){K.bumpVerticalPos(G.boxMargin),e.height=G.boxMargin,e.starty=K.getVerticalPos();const n=(0,a.g)();n.x=e.startx,n.y=e.starty,n.width=e.width||G.width,n.class="note";const i=t.append("g"),r=Y.drawRect(i,n),o=(0,a.e)();o.x=e.startx,o.y=e.starty,o.width=n.width,o.dy="1em",o.text=e.message,o.class="noteText",o.fontFamily=G.noteFontFamily,o.fontSize=G.noteFontSize,o.fontWeight=G.noteFontWeight,o.anchor=G.noteAlign,o.textMargin=G.noteMargin,o.valign="center";const s=R(i,o),c=Math.round(s.map((t=>(t._groups||t)[0][0].getBBox().height)).reduce(((t,e)=>t+e)));r.attr("height",c+2*G.noteMargin),e.height+=c+2*G.noteMargin,K.bumpVerticalPos(c+2*G.noteMargin),e.stopy=e.starty+c+2*G.noteMargin,e.stopx=e.startx+n.width,K.insert(e.startx,e.starty,e.stopx,e.stopy),K.models.addNote(e)}(f,r);break;case o.db.LINETYPE.ACTIVE_START:K.newActivation(t,f,d);break;case o.db.LINETYPE.ACTIVE_END:!function(t,e){const n=K.endActivation(t);n.starty+18>e&&(n.starty=e-6,e+=12),Y.drawActivation(f,n,e,G,et(t.from.actor).length),K.insert(n.startx,e-10,n.stopx,e)}(t,K.getVerticalPos());break;case o.db.LINETYPE.LOOP_START:it(_,t,G.boxMargin,G.boxMargin+G.boxTextMargin,(t=>K.newLoop(t)));break;case o.db.LINETYPE.LOOP_END:n=K.endLoop(),Y.drawLoop(f,n,"loop",G),K.bumpVerticalPos(n.stopy-K.getVerticalPos()),K.models.addLoop(n);break;case o.db.LINETYPE.RECT_START:it(_,t,G.boxMargin,G.boxMargin,(t=>K.newLoop(void 0,t.message)));break;case o.db.LINETYPE.RECT_END:n=K.endLoop(),S.push(n),K.models.addLoop(n),K.bumpVerticalPos(n.stopy-K.getVerticalPos());break;case o.db.LINETYPE.OPT_START:it(_,t,G.boxMargin,G.boxMargin+G.boxTextMargin,(t=>K.newLoop(t)));break;case o.db.LINETYPE.OPT_END:n=K.endLoop(),Y.drawLoop(f,n,"opt",G),K.bumpVerticalPos(n.stopy-K.getVerticalPos()),K.models.addLoop(n);break;case o.db.LINETYPE.ALT_START:it(_,t,G.boxMargin,G.boxMargin+G.boxTextMargin,(t=>K.newLoop(t)));break;case o.db.LINETYPE.ALT_ELSE:it(_,t,G.boxMargin+G.boxTextMargin,G.boxMargin,(t=>K.addSectionToLoop(t)));break;case o.db.LINETYPE.ALT_END:n=K.endLoop(),Y.drawLoop(f,n,"alt",G),K.bumpVerticalPos(n.stopy-K.getVerticalPos()),K.models.addLoop(n);break;case o.db.LINETYPE.PAR_START:case o.db.LINETYPE.PAR_OVER_START:it(_,t,G.boxMargin,G.boxMargin+G.boxTextMargin,(t=>K.newLoop(t))),K.saveVerticalPos();break;case o.db.LINETYPE.PAR_AND:it(_,t,G.boxMargin+G.boxTextMargin,G.boxMargin,(t=>K.addSectionToLoop(t)));break;case o.db.LINETYPE.PAR_END:n=K.endLoop(),Y.drawLoop(f,n,"par",G),K.bumpVerticalPos(n.stopy-K.getVerticalPos()),K.models.addLoop(n);break;case o.db.LINETYPE.AUTONUMBER:E=t.message.start||E,T=t.message.step||T,t.message.visible?o.db.enableSequenceNumbers():o.db.disableSequenceNumbers();break;case o.db.LINETYPE.CRITICAL_START:it(_,t,G.boxMargin,G.boxMargin+G.boxTextMargin,(t=>K.newLoop(t)));break;case o.db.LINETYPE.CRITICAL_OPTION:it(_,t,G.boxMargin+G.boxTextMargin,G.boxMargin,(t=>K.addSectionToLoop(t)));break;case o.db.LINETYPE.CRITICAL_END:n=K.endLoop(),Y.drawLoop(f,n,"critical",G),K.bumpVerticalPos(n.stopy-K.getVerticalPos()),K.models.addLoop(n);break;case o.db.LINETYPE.BREAK_START:it(_,t,G.boxMargin,G.boxMargin+G.boxTextMargin,(t=>K.newLoop(t)));break;case 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"+(c+1)+":\n"+d.showPosition()+"\nExpecting "+C.join(", ")+", got '"+(this.terminals_[m]||m)+"'":"Parse error on line "+(c+1)+": Unexpected "+(m==h?"end of input":"'"+(this.terminals_[m]||m)+"'"),this.parseError(A,{text:d.match,token:this.terminals_[m]||m,line:d.yylineno,loc:b,expected:C})}if(x[0]instanceof Array&&x.length>1)throw new Error("Parse Error: multiple actions possible at state: "+v+", token: "+m);switch(x[0]){case 1:n.push(m),r.push(d.yytext),a.push(d.yylloc),n.push(x[1]),m=null,u=d.yyleng,s=d.yytext,c=d.yylineno,b=d.yylloc;break;case 2:if(E=this.productions_[x[1]][1],S.$=r[r.length-E],S._$={first_line:a[a.length-(E||1)].first_line,last_line:a[a.length-1].last_line,first_column:a[a.length-(E||1)].first_column,last_column:a[a.length-1].last_column},w&&(S._$.range=[a[a.length-(E||1)].range[0],a[a.length-1].range[1]]),void 0!==(k=this.performAction.apply(S,[s,u,c,g.yy,x[1],r,a].concat(f))))return k;E&&(n=n.slice(0,-1*E*2),r=r.slice(0,-1*E),a=a.slice(0,-1*E)),n.push(this.productions_[x[1]][0]),r.push(S.$),a.push(S._$),T=o[n[n.length-2]][n[n.length-1]],n.push(T);break;case 3:return!0}}return!0}},K={EOF:1,parseError:function(t,e){if(!this.yy.parser)throw new Error(t);this.yy.parser.parseError(t,e)},setInput:function(t,e){return this.yy=e||this.yy||{},this._input=t,this._more=this._backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match="",this.conditionStack=["INITIAL"],this.yylloc={first_line:1,first_column:0,last_line:1,last_column:0},this.options.ranges&&(this.yylloc.range=[0,0]),this.offset=0,this},input:function(){var t=this._input[0];return this.yytext+=t,this.yyleng++,this.offset++,this.match+=t,this.matched+=t,t.match(/(?:\r\n?|\n).*/g)?(this.yylineno++,this.yylloc.last_line++):this.yylloc.last_column++,this.options.ranges&&this.yylloc.range[1]++,this._input=this._input.slice(1),t},unput:function(t){var e=t.length,n=t.split(/(?:\r\n?|\n)/g);this._input=t+this._input,this.yytext=this.yytext.substr(0,this.yytext.length-e),this.offset-=e;var i=this.match.split(/(?:\r\n?|\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),n.length-1&&(this.yylineno-=n.length-1);var r=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:n?(n.length===i.length?this.yylloc.first_column:0)+i[i.length-n.length].length-n[0].length:this.yylloc.first_column-e},this.options.ranges&&(this.yylloc.range=[r[0],r[0]+this.yyleng-e]),this.yyleng=this.yytext.length,this},more:function(){return this._more=!0,this},reject:function(){return this.options.backtrack_lexer?(this._backtrack=!0,this):this.parseError("Lexical error on line "+(this.yylineno+1)+". You can only invoke reject() in the lexer when the lexer is of the backtracking persuasion (options.backtrack_lexer = true).\n"+this.showPosition(),{text:"",token:null,line:this.yylineno})},less:function(t){this.unput(this.match.slice(t))},pastInput:function(){var t=this.matched.substr(0,this.matched.length-this.match.length);return(t.length>20?"...":"")+t.substr(-20).replace(/\n/g,"")},upcomingInput:function(){var t=this.match;return t.length<20&&(t+=this._input.substr(0,20-t.length)),(t.substr(0,20)+(t.length>20?"...":"")).replace(/\n/g,"")},showPosition:function(){var t=this.pastInput(),e=new Array(t.length+1).join("-");return t+this.upcomingInput()+"\n"+e+"^"},test_match:function(t,e){var n,i,r;if(this.options.backtrack_lexer&&(r={yylineno:this.yylineno,yylloc:{first_line:this.yylloc.first_line,last_line:this.last_line,first_column:this.yylloc.first_column,last_column:this.yylloc.last_column},yytext:this.yytext,match:this.match,matches:this.matches,matched:this.matched,yyleng:this.yyleng,offset:this.offset,_more:this._more,_input:this._input,yy:this.yy,conditionStack:this.conditionStack.slice(0),done:this.done},this.options.ranges&&(r.yylloc.range=this.yylloc.range.slice(0))),(i=t[0].match(/(?:\r\n?|\n).*/g))&&(this.yylineno+=i.length),this.yylloc={first_line:this.yylloc.last_line,last_line:this.yylineno+1,first_column:this.yylloc.last_column,last_column:i?i[i.length-1].length-i[i.length-1].match(/\r?\n?/)[0].length:this.yylloc.last_column+t[0].length},this.yytext+=t[0],this.match+=t[0],this.matches=t,this.yyleng=this.yytext.length,this.options.ranges&&(this.yylloc.range=[this.offset,this.offset+=this.yyleng]),this._more=!1,this._backtrack=!1,this._input=this._input.slice(t[0].length),this.matched+=t[0],n=this.performAction.call(this,this.yy,this,e,this.conditionStack[this.conditionStack.length-1]),this.done&&this._input&&(this.done=!1),n)return n;if(this._backtrack){for(var a in r)this[a]=r[a];return!1}return!1},next:function(){if(this.done)return this.EOF;var t,e,n,i;this._input||(this.done=!0),this._more||(this.yytext="",this.match="");for(var r=this._currentRules(),a=0;a<r.length;a++)if((n=this._input.match(this.rules[r[a]]))&&(!e||n[0].length>e[0].length)){if(e=n,i=a,this.options.backtrack_lexer){if(!1!==(t=this.test_match(n,r[a])))return t;if(this._backtrack){e=!1;continue}return!1}if(!this.options.flex)break}return e?!1!==(t=this.test_match(e,r[i]))&&t:""===this._input?this.EOF:this.parseError("Lexical error on line "+(this.yylineno+1)+". Unrecognized text.\n"+this.showPosition(),{text:"",token:null,line:this.yylineno})},lex:function(){var t=this.next();return t||this.lex()},begin:function(t){this.conditionStack.push(t)},popState:function(){return this.conditionStack.length-1>0?this.conditionStack.pop():this.conditionStack[0]},_currentRules:function(){return this.conditionStack.length&&this.conditionStack[this.conditionStack.length-1]?this.conditions[this.conditionStack[this.conditionStack.length-1]].rules:this.conditions.INITIAL.rules},topState:function(t){return(t=this.conditionStack.length-1-Math.abs(t||0))>=0?this.conditionStack[t]:"INITIAL"},pushState:function(t){this.begin(t)},stateStackSize:function(){return this.conditionStack.length},options:{},performAction:function(t,e,n,i){switch(n){case 0:return this.begin("open_directive"),19;case 1:return 8;case 2:return 9;case 3:return 10;case 4:return 11;case 5:return this.begin("type_directive"),20;case 6:return this.popState(),this.begin("arg_directive"),17;case 7:return this.popState(),this.popState(),22;case 8:return 21;case 9:case 10:case 19:case 34:case 39:case 43:case 50:break;case 11:return this.begin("acc_title"),44;case 12:return this.popState(),"acc_title_value";case 13:return this.begin("acc_descr"),46;case 14:return this.popState(),"acc_descr_value";case 15:this.begin("acc_descr_multiline");break;case 16:case 24:case 27:case 29:case 61:case 64:this.popState();break;case 17:return"acc_descr_multiline_value";case 18:case 38:return 16;case 20:case 21:return 23;case 22:case 40:case 48:return"EDGE_STATE";case 23:this.begin("callback_name");break;case 25:this.popState(),this.begin("callback_args");break;case 26:return 79;case 28:return 80;case 30:return"STR";case 31:this.begin("string");break;case 32:return this.begin("namespace"),53;case 33:case 42:return this.popState(),16;case 35:return this.begin("namespace-body"),50;case 36:case 46:return this.popState(),52;case 37:case 47:return"EOF_IN_STRUCT";case 41:return this.begin("class"),57;case 44:return this.popState(),this.popState(),52;case 45:return this.begin("class-body"),50;case 49:return"OPEN_IN_STRUCT";case 51:return"MEMBER";case 52:return 82;case 53:return 75;case 54:return 76;case 55:return 78;case 56:return 63;case 57:return 65;case 58:return 58;case 59:return 59;case 60:return 81;case 62:return"GENERICTYPE";case 63:this.begin("generic");break;case 65:return"BQUOTE_STR";case 66:this.begin("bqstring");break;case 67:case 68:case 69:case 70:return 77;case 71:case 72:return 69;case 73:case 74:return 71;case 75:return 70;case 76:return 68;case 77:return 72;case 78:return 73;case 79:return 74;case 80:return 36;case 81:return 55;case 82:return 94;case 83:return"DOT";case 84:return"PLUS";case 85:return 91;case 86:case 87:return"EQUALS";case 88:return 98;case 89:return 27;case 90:return 29;case 91:return"PUNCTUATION";case 92:return 97;case 93:return 96;case 94:return 93;case 95:return 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P(){this.yy={}}return O.lexer=N,P.prototype=O,O.Parser=P,new P}();r.parser=r;const a=r,o="TB",s="state",c="relation",u="default",l="divider",h="[*]",f="start",d="color",g="fill";let p="LR",b=[],w={};let y={root:{relations:[],states:{},documents:{}}},m=y.root,v=0,x=0;const k=t=>JSON.parse(JSON.stringify(t)),_=(t,e,n)=>{if(e.stmt===c)_(t,e.state1,!0),_(t,e.state2,!1);else if(e.stmt===s&&("[*]"===e.id?(e.id=n?t.id+"_start":t.id+"_end",e.start=n):e.id=e.id.trim()),e.doc){const t=[];let n,r=[];for(n=0;n<e.doc.length;n++)if(e.doc[n].type===l){const i=k(e.doc[n]);i.doc=k(r),t.push(i),r=[]}else r.push(e.doc[n]);if(t.length>0&&r.length>0){const n={stmt:s,id:(0,i.I)(),type:"divider",doc:k(r)};t.push(k(n)),e.doc=t}e.doc.forEach((t=>_(e,t,!0)))}},E=function(t,e=u,n=null,r=null,a=null,o=null,s=null,c=null){const l=null==t?void 0:t.trim();if(void 0===m.states[l]?(i.l.info("Adding state 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${t.stateBorder||t.nodeBorder};\n}\n\n.statediagram-state .title-state {\n  rx: 5px;\n  ry: 5px;\n}\n.statediagram-cluster.statediagram-cluster .inner {\n  fill: ${t.compositeBackground||t.background};\n}\n.statediagram-cluster.statediagram-cluster-alt .inner {\n  fill: ${t.altBackground?t.altBackground:"#efefef"};\n}\n\n.statediagram-cluster .inner {\n  rx:0;\n  ry:0;\n}\n\n.statediagram-state rect.basic {\n  rx: 5px;\n  ry: 5px;\n}\n.statediagram-state rect.divider {\n  stroke-dasharray: 10,10;\n  fill: ${t.altBackground?t.altBackground:"#efefef"};\n}\n\n.note-edge {\n  stroke-dasharray: 5;\n}\n\n.statediagram-note rect {\n  fill: ${t.noteBkgColor};\n  stroke: ${t.noteBorderColor};\n  stroke-width: 1px;\n  rx: 0;\n  ry: 0;\n}\n.statediagram-note rect {\n  fill: ${t.noteBkgColor};\n  stroke: ${t.noteBorderColor};\n  stroke-width: 1px;\n  rx: 0;\n  ry: 0;\n}\n\n.statediagram-note text {\n  fill: ${t.noteTextColor};\n}\n\n.statediagram-note .nodeLabel {\n  color: 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+
+.github-markdown-body hr {
+  box-sizing: content-box;
+  overflow: hidden;
+  background: transparent;
+  border-bottom: 1px solid var(--borderColor-muted, var(--color-border-muted));
+  height: .25em;
+  padding: 0;
+  margin: 24px 0;
+  background-color: var(--borderColor-default, var(--color-border-default));
+  border: 0;
+}
+
+.github-markdown-body input {
+  font: inherit;
+  margin: 0;
+  overflow: visible;
+  font-family: inherit;
+  font-size: inherit;
+  line-height: inherit;
+}
+
+.github-markdown-body [type=button],
+.github-markdown-body [type=reset],
+.github-markdown-body [type=submit] {
+  -webkit-appearance: button;
+}
+
+.github-markdown-body [type=checkbox],
+.github-markdown-body [type=radio] {
+  box-sizing: border-box;
+  padding: 0;
+}
+
+.github-markdown-body [type=number]::-webkit-inner-spin-button,
+.github-markdown-body [type=number]::-webkit-outer-spin-button {
+  height: auto;
+}
+
+.github-markdown-body [type=search]::-webkit-search-cancel-button,
+.github-markdown-body [type=search]::-webkit-search-decoration {
+  -webkit-appearance: none;
+}
+
+.github-markdown-body ::-webkit-input-placeholder {
+  color: inherit;
+  opacity: .54;
+}
+
+.github-markdown-body ::-webkit-file-upload-button {
+  -webkit-appearance: button;
+  font: inherit;
+}
+
+.github-markdown-body a:hover {
+  text-decoration: underline;
+}
+
+.github-markdown-body ::placeholder {
+  color: var(--fgColor-muted, var(--color-fg-subtle));
+  opacity: 1;
+}
+
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+  display: table;
+  content: "";
+}
+
+.github-markdown-body hr::after {
+  display: table;
+  clear: both;
+  content: "";
+}
+
+.github-markdown-body table {
+  border-spacing: 0;
+  border-collapse: collapse;
+  display: block;
+  width: max-content;
+  max-width: 100%;
+  overflow: auto;
+}
+
+.github-markdown-body td,
+.github-markdown-body th {
+  padding: 0;
+}
+
+.github-markdown-body details summary {
+  cursor: pointer;
+}
+
+.github-markdown-body details:not([open])>*:not(summary) {
+  display: none !important;
+}
+
+.github-markdown-body a:focus,
+.github-markdown-body [role=button]:focus,
+.github-markdown-body input[type=radio]:focus,
+.github-markdown-body input[type=checkbox]:focus {
+  outline: 2px solid var(--focus-outlineColor, var(--color-accent-fg));
+  outline-offset: -2px;
+  box-shadow: none;
+}
+
+.github-markdown-body a:focus:not(:focus-visible),
+.github-markdown-body [role=button]:focus:not(:focus-visible),
+.github-markdown-body input[type=radio]:focus:not(:focus-visible),
+.github-markdown-body input[type=checkbox]:focus:not(:focus-visible) {
+  outline: solid 1px transparent;
+}
+
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+.github-markdown-body [role=button]:focus-visible,
+.github-markdown-body input[type=radio]:focus-visible,
+.github-markdown-body input[type=checkbox]:focus-visible {
+  outline: 2px solid var(--focus-outlineColor, var(--color-accent-fg));
+  outline-offset: -2px;
+  box-shadow: none;
+}
+
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+.github-markdown-body a:not([class]):focus-visible,
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+.github-markdown-body input[type=radio]:focus-visible,
+.github-markdown-body input[type=checkbox]:focus,
+.github-markdown-body input[type=checkbox]:focus-visible {
+  outline-offset: 0;
+}
+
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+  display: inline-block;
+  padding: 3px 5px;
+  font: 11px ui-monospace,SFMono-Regular,SF Mono,Menlo,Consolas,Liberation Mono,monospace;
+  line-height: 10px;
+  color: var(--fgColor-default, var(--color-fg-default));
+  vertical-align: middle;
+  background-color: var(--bgColor-muted, var(--color-canvas-subtle));
+  border: solid 1px var(--borderColor-neutral-muted, var(--color-neutral-muted));
+  border-bottom-color: var(--borderColor-neutral-muted, var(--color-neutral-muted));
+  border-radius: 6px;
+  box-shadow: inset 0 -1px 0 var(--borderColor-neutral-muted, var(--color-neutral-muted));
+}
+
+.github-markdown-body h1,
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+.github-markdown-body h6 {
+  margin-top: 24px;
+  margin-bottom: 16px;
+  font-weight: var(--base-text-weight-semibold, 600);
+  line-height: 1.25;
+}
+
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+  font-weight: var(--base-text-weight-semibold, 600);
+  padding-bottom: .3em;
+  font-size: 1.5em;
+  border-bottom: 1px solid var(--borderColor-muted, var(--color-border-muted));
+}
+
+.github-markdown-body h3 {
+  font-weight: var(--base-text-weight-semibold, 600);
+  font-size: 1.25em;
+}
+
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+  font-weight: var(--base-text-weight-semibold, 600);
+  font-size: 1em;
+}
+
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+  font-weight: var(--base-text-weight-semibold, 600);
+  font-size: .875em;
+}
+
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+  font-weight: var(--base-text-weight-semibold, 600);
+  font-size: .85em;
+  color: var(--fgColor-muted, var(--color-fg-muted));
+}
+
+.github-markdown-body p {
+  margin-top: 0;
+  margin-bottom: 10px;
+}
+
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+  margin: 0;
+  padding: 0 1em;
+  color: var(--fgColor-muted, var(--color-fg-muted));
+  border-left: .25em solid var(--borderColor-default, var(--color-border-default));
+}
+
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+  margin-top: 0;
+  margin-bottom: 0;
+  padding-left: 2em;
+}
+
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+.github-markdown-body ul ol {
+  list-style-type: lower-roman;
+}
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+.github-markdown-body ol ol ol {
+  list-style-type: lower-alpha;
+}
+
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+  margin-left: 0;
+}
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+  font-family: ui-monospace,SFMono-Regular,SF Mono,Menlo,Consolas,Liberation Mono,monospace;
+  font-size: 12px;
+}
+
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+  margin-top: 0;
+  margin-bottom: 0;
+  font-family: ui-monospace,SFMono-Regular,SF Mono,Menlo,Consolas,Liberation Mono,monospace;
+  font-size: 12px;
+  word-wrap: normal;
+}
+
+.github-markdown-body .octicon {
+  display: inline-block;
+  overflow: visible !important;
+  vertical-align: text-bottom;
+  fill: currentColor;
+}
+
+.github-markdown-body input::-webkit-outer-spin-button,
+.github-markdown-body input::-webkit-inner-spin-button {
+  margin: 0;
+  -webkit-appearance: none;
+  appearance: none;
+}
+
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+  display: table;
+  content: "";
+}
+
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+  display: table;
+  clear: both;
+  content: "";
+}
+
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+  margin-top: 0 !important;
+}
+
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+  margin-bottom: 0 !important;
+}
+
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+  color: inherit;
+  text-decoration: none;
+}
+
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+  color: var(--fgColor-danger, var(--color-danger-fg));
+}
+
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+  float: left;
+  padding-right: 4px;
+  margin-left: -20px;
+  line-height: 1;
+}
+
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+  outline: none;
+}
+
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+.github-markdown-body ol,
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+.github-markdown-body table,
+.github-markdown-body pre,
+.github-markdown-body details {
+  margin-top: 0;
+  margin-bottom: 16px;
+}
+
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+  margin-top: 0;
+}
+
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+  margin-bottom: 0;
+}
+
+.github-markdown-body h1 .octicon-link,
+.github-markdown-body h2 .octicon-link,
+.github-markdown-body h3 .octicon-link,
+.github-markdown-body h4 .octicon-link,
+.github-markdown-body h5 .octicon-link,
+.github-markdown-body h6 .octicon-link {
+  color: var(--fgColor-default, var(--color-fg-default));
+  vertical-align: middle;
+  visibility: hidden;
+}
+
+.github-markdown-body h1:hover .anchor,
+.github-markdown-body h2:hover .anchor,
+.github-markdown-body h3:hover .anchor,
+.github-markdown-body h4:hover .anchor,
+.github-markdown-body h5:hover .anchor,
+.github-markdown-body h6:hover .anchor {
+  text-decoration: none;
+}
+
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+.github-markdown-body h2:hover .anchor .octicon-link,
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+.github-markdown-body h4:hover .anchor .octicon-link,
+.github-markdown-body h5:hover .anchor .octicon-link,
+.github-markdown-body h6:hover .anchor .octicon-link {
+  visibility: visible;
+}
+
+.github-markdown-body h1 tt,
+.github-markdown-body h1 code,
+.github-markdown-body h2 tt,
+.github-markdown-body h2 code,
+.github-markdown-body h3 tt,
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+.github-markdown-body h4 code,
+.github-markdown-body h5 tt,
+.github-markdown-body h5 code,
+.github-markdown-body h6 tt,
+.github-markdown-body h6 code {
+  padding: 0 .2em;
+  font-size: inherit;
+}
+
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+.github-markdown-body summary h3,
+.github-markdown-body summary h4,
+.github-markdown-body summary h5,
+.github-markdown-body summary h6 {
+  display: inline-block;
+}
+
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+.github-markdown-body summary h3 .anchor,
+.github-markdown-body summary h4 .anchor,
+.github-markdown-body summary h5 .anchor,
+.github-markdown-body summary h6 .anchor {
+  margin-left: -40px;
+}
+
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+  padding-bottom: 0;
+  border-bottom: 0;
+}
+
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+.github-markdown-body ol.no-list {
+  padding: 0;
+  list-style-type: none;
+}
+
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+  list-style-type: lower-alpha;
+}
+
+.github-markdown-body ol[type="A s"] {
+  list-style-type: upper-alpha;
+}
+
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+  list-style-type: lower-roman;
+}
+
+.github-markdown-body ol[type="I s"] {
+  list-style-type: upper-roman;
+}
+
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+  list-style-type: decimal;
+}
+
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+  list-style-type: decimal;
+}
+
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+.github-markdown-body ul ol,
+.github-markdown-body ol ol,
+.github-markdown-body ol ul {
+  margin-top: 0;
+  margin-bottom: 0;
+}
+
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+  margin-top: 16px;
+}
+
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+  margin-top: .25em;
+}
+
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+  padding: 0;
+}
+
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+  padding: 0;
+  margin-top: 16px;
+  font-size: 1em;
+  font-style: italic;
+  font-weight: var(--base-text-weight-semibold, 600);
+}
+
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+  padding: 0 16px;
+  margin-bottom: 16px;
+}
+
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+  font-weight: var(--base-text-weight-semibold, 600);
+}
+
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+.github-markdown-body table td {
+  padding: 6px 13px;
+  border: 1px solid var(--borderColor-default, var(--color-border-default));
+}
+
+.github-markdown-body table td>:last-child {
+  margin-bottom: 0;
+}
+
+.github-markdown-body table tr {
+  background-color: var(--bgColor-default, var(--color-canvas-default));
+  border-top: 1px solid var(--borderColor-muted, var(--color-border-muted));
+}
+
+.github-markdown-body table tr:nth-child(2n) {
+  background-color: var(--bgColor-muted, var(--color-canvas-subtle));
+}
+
+.github-markdown-body table img {
+  background-color: transparent;
+}
+
+.github-markdown-body img[align=right] {
+  padding-left: 20px;
+}
+
+.github-markdown-body img[align=left] {
+  padding-right: 20px;
+}
+
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+  max-width: none;
+  vertical-align: text-top;
+  background-color: transparent;
+}
+
+.github-markdown-body span.frame {
+  display: block;
+  overflow: hidden;
+}
+
+.github-markdown-body span.frame>span {
+  display: block;
+  float: left;
+  width: auto;
+  padding: 7px;
+  margin: 13px 0 0;
+  overflow: hidden;
+  border: 1px solid var(--borderColor-default, var(--color-border-default));
+}
+
+.github-markdown-body span.frame span img {
+  display: block;
+  float: left;
+}
+
+.github-markdown-body span.frame span span {
+  display: block;
+  padding: 5px 0 0;
+  clear: both;
+  color: var(--fgColor-default, var(--color-fg-default));
+}
+
+.github-markdown-body span.align-center {
+  display: block;
+  overflow: hidden;
+  clear: both;
+}
+
+.github-markdown-body span.align-center>span {
+  display: block;
+  margin: 13px auto 0;
+  overflow: hidden;
+  text-align: center;
+}
+
+.github-markdown-body span.align-center span img {
+  margin: 0 auto;
+  text-align: center;
+}
+
+.github-markdown-body span.align-right {
+  display: block;
+  overflow: hidden;
+  clear: both;
+}
+
+.github-markdown-body span.align-right>span {
+  display: block;
+  margin: 13px 0 0;
+  overflow: hidden;
+  text-align: right;
+}
+
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+  margin: 0;
+  text-align: right;
+}
+
+.github-markdown-body span.float-left {
+  display: block;
+  float: left;
+  margin-right: 13px;
+  overflow: hidden;
+}
+
+.github-markdown-body span.float-left span {
+  margin: 13px 0 0;
+}
+
+.github-markdown-body span.float-right {
+  display: block;
+  float: right;
+  margin-left: 13px;
+  overflow: hidden;
+}
+
+.github-markdown-body span.float-right>span {
+  display: block;
+  margin: 13px auto 0;
+  overflow: hidden;
+  text-align: right;
+}
+
+.github-markdown-body code,
+.github-markdown-body tt {
+  padding: .2em .4em;
+  margin: 0;
+  font-size: 85%;
+  white-space: break-spaces;
+  background-color: var(--bgColor-neutral-muted, var(--color-neutral-muted));
+  border-radius: 6px;
+}
+
+.github-markdown-body code br,
+.github-markdown-body tt br {
+  display: none;
+}
+
+.github-markdown-body del code {
+  text-decoration: inherit;
+}
+
+.github-markdown-body samp {
+  font-size: 85%;
+}
+
+.github-markdown-body pre code {
+  font-size: 100%;
+}
+
+.github-markdown-body pre>code {
+  padding: 0;
+  margin: 0;
+  word-break: normal;
+  white-space: pre;
+  background: transparent;
+  border: 0;
+}
+
+.github-markdown-body .highlight {
+  margin-bottom: 16px;
+}
+
+.github-markdown-body .highlight pre {
+  margin-bottom: 0;
+  word-break: normal;
+}
+
+.github-markdown-body .highlight pre,
+.github-markdown-body pre {
+  padding: 16px;
+  overflow: auto;
+  font-size: 85%;
+  line-height: 1.45;
+  color: var(--fgColor-default, var(--color-fg-default));
+  background-color: var(--bgColor-muted, var(--color-canvas-subtle));
+  border-radius: 6px;
+}
+
+.github-markdown-body pre code,
+.github-markdown-body pre tt {
+  display: inline;
+  max-width: auto;
+  padding: 0;
+  margin: 0;
+  overflow: visible;
+  line-height: inherit;
+  word-wrap: normal;
+  background-color: transparent;
+  border: 0;
+}
+
+.github-markdown-body .csv-data td,
+.github-markdown-body .csv-data th {
+  padding: 5px;
+  overflow: hidden;
+  font-size: 12px;
+  line-height: 1;
+  text-align: left;
+  white-space: nowrap;
+}
+
+.github-markdown-body .csv-data .blob-num {
+  padding: 10px 8px 9px;
+  text-align: right;
+  background: var(--bgColor-default, var(--color-canvas-default));
+  border: 0;
+}
+
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+  border-top: 0;
+}
+
+.github-markdown-body .csv-data th {
+  font-weight: var(--base-text-weight-semibold, 600);
+  background: var(--bgColor-muted, var(--color-canvas-subtle));
+  border-top: 0;
+}
+
+.github-markdown-body [data-footnote-ref]::before {
+  content: "[";
+}
+
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+  content: "]";
+}
+
+.github-markdown-body .footnotes {
+  font-size: 12px;
+  color: var(--fgColor-muted, var(--color-fg-muted));
+  border-top: 1px solid var(--borderColor-default, var(--color-border-default));
+}
+
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+  padding-left: 16px;
+}
+
+.github-markdown-body .footnotes ol ul {
+  display: inline-block;
+  padding-left: 16px;
+  margin-top: 16px;
+}
+
+.github-markdown-body .footnotes li {
+  position: relative;
+}
+
+.github-markdown-body .footnotes li:target::before {
+  position: absolute;
+  top: -8px;
+  right: -8px;
+  bottom: -8px;
+  left: -24px;
+  pointer-events: none;
+  content: "";
+  border: 2px solid var(--borderColor-accent-emphasis, var(--color-accent-emphasis));
+  border-radius: 6px;
+}
+
+.github-markdown-body .footnotes li:target {
+  color: var(--fgColor-default, var(--color-fg-default));
+}
+
+.github-markdown-body .footnotes .data-footnote-backref g-emoji {
+  font-family: monospace;
+}
+
+.github-markdown-body [popover] {
+  background-color: canvas;
+  border: initial solid;
+  border-color: initial;
+  border-image: initial;
+  color: initial;
+  height: fit-content;
+  inset: 0;
+  margin: auto;
+  overflow: auto;
+  padding: .25em;
+  position: fixed;
+  width: fit-content;
+  z-index: 2147483647;
+}
+
+.github-markdown-body [popover]:not(.\:popover-open) {
+  display: none;
+}
+
+.github-markdown-body [popover]:is(dialog[open]) {
+  display: revert;
+}
+
+.github-markdown-body [anchor].\:popover-open {
+  inset: auto;
+}
+
+.github-markdown-body .pl-c {
+  color: var(--color-prettylights-syntax-comment);
+}
+
+.github-markdown-body .pl-c1,
+.github-markdown-body .pl-s .pl-v {
+  color: var(--color-prettylights-syntax-constant);
+}
+
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+.github-markdown-body .pl-en {
+  color: var(--color-prettylights-syntax-entity);
+}
+
+.github-markdown-body .pl-smi,
+.github-markdown-body .pl-s .pl-s1 {
+  color: var(--color-prettylights-syntax-storage-modifier-import);
+}
+
+.github-markdown-body .pl-ent {
+  color: var(--color-prettylights-syntax-entity-tag);
+}
+
+.github-markdown-body .pl-k {
+  color: var(--color-prettylights-syntax-keyword);
+}
+
+.github-markdown-body .pl-s,
+.github-markdown-body .pl-pds,
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+.github-markdown-body .pl-sr,
+.github-markdown-body .pl-sr .pl-cce,
+.github-markdown-body .pl-sr .pl-sre,
+.github-markdown-body .pl-sr .pl-sra {
+  color: var(--color-prettylights-syntax-string);
+}
+
+.github-markdown-body .pl-v,
+.github-markdown-body .pl-smw {
+  color: var(--color-prettylights-syntax-variable);
+}
+
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+  color: var(--color-prettylights-syntax-brackethighlighter-unmatched);
+}
+
+.github-markdown-body .pl-ii {
+  color: var(--color-prettylights-syntax-invalid-illegal-text);
+  background-color: var(--color-prettylights-syntax-invalid-illegal-bg);
+}
+
+.github-markdown-body .pl-c2 {
+  color: var(--color-prettylights-syntax-carriage-return-text);
+  background-color: var(--color-prettylights-syntax-carriage-return-bg);
+}
+
+.github-markdown-body .pl-sr .pl-cce {
+  font-weight: bold;
+  color: var(--color-prettylights-syntax-string-regexp);
+}
+
+.github-markdown-body .pl-ml {
+  color: var(--color-prettylights-syntax-markup-list);
+}
+
+.github-markdown-body .pl-mh,
+.github-markdown-body .pl-mh .pl-en,
+.github-markdown-body .pl-ms {
+  font-weight: bold;
+  color: var(--color-prettylights-syntax-markup-heading);
+}
+
+.github-markdown-body .pl-mi {
+  font-style: italic;
+  color: var(--color-prettylights-syntax-markup-italic);
+}
+
+.github-markdown-body .pl-mb {
+  font-weight: bold;
+  color: var(--color-prettylights-syntax-markup-bold);
+}
+
+.github-markdown-body .pl-md {
+  color: var(--color-prettylights-syntax-markup-deleted-text);
+  background-color: var(--color-prettylights-syntax-markup-deleted-bg);
+}
+
+.github-markdown-body .pl-mi1 {
+  color: var(--color-prettylights-syntax-markup-inserted-text);
+  background-color: var(--color-prettylights-syntax-markup-inserted-bg);
+}
+
+.github-markdown-body .pl-mc {
+  color: var(--color-prettylights-syntax-markup-changed-text);
+  background-color: var(--color-prettylights-syntax-markup-changed-bg);
+}
+
+.github-markdown-body .pl-mi2 {
+  color: var(--color-prettylights-syntax-markup-ignored-text);
+  background-color: var(--color-prettylights-syntax-markup-ignored-bg);
+}
+
+.github-markdown-body .pl-mdr {
+  font-weight: bold;
+  color: var(--color-prettylights-syntax-meta-diff-range);
+}
+
+.github-markdown-body .pl-ba {
+  color: var(--color-prettylights-syntax-brackethighlighter-angle);
+}
+
+.github-markdown-body .pl-sg {
+  color: var(--color-prettylights-syntax-sublimelinter-gutter-mark);
+}
+
+.github-markdown-body .pl-corl {
+  text-decoration: underline;
+  color: var(--color-prettylights-syntax-constant-other-reference-link);
+}
+
+.github-markdown-body g-emoji {
+  display: inline-block;
+  min-width: 1ch;
+  font-family: "Apple Color Emoji","Segoe UI Emoji","Segoe UI Symbol";
+  font-size: 1em;
+  font-style: normal !important;
+  font-weight: var(--base-text-weight-normal, 400);
+  line-height: 1;
+  vertical-align: -0.075em;
+}
+
+.github-markdown-body g-emoji img {
+  width: 1em;
+  height: 1em;
+}
+
+.github-markdown-body .task-list-item {
+  list-style-type: none;
+}
+
+.github-markdown-body .task-list-item label {
+  font-weight: var(--base-text-weight-normal, 400);
+}
+
+.github-markdown-body .task-list-item.enabled label {
+  cursor: pointer;
+}
+
+.github-markdown-body .task-list-item+.task-list-item {
+  margin-top: 4px;
+}
+
+.github-markdown-body .task-list-item .handle {
+  display: none;
+}
+
+.github-markdown-body .task-list-item-checkbox {
+  margin: 0 .2em .25em -1.4em;
+  vertical-align: middle;
+}
+
+.github-markdown-body .contains-task-list:dir(rtl) .task-list-item-checkbox {
+  margin: 0 -1.6em .25em .2em;
+}
+
+.github-markdown-body .contains-task-list {
+  position: relative;
+}
+
+.github-markdown-body .contains-task-list:hover .task-list-item-convert-container,
+.github-markdown-body .contains-task-list:focus-within .task-list-item-convert-container {
+  display: block;
+  width: auto;
+  height: 24px;
+  overflow: visible;
+  clip: auto;
+}
+
+.github-markdown-body .QueryBuilder .qb-entity {
+  color: var(--color-prettylights-syntax-entity);
+}
+
+.github-markdown-body .QueryBuilder .qb-constant {
+  color: var(--color-prettylights-syntax-constant);
+}
+
+.github-markdown-body ::-webkit-calendar-picker-indicator {
+  filter: invert(50%);
+}
+[data-color-mode=light][data-light-theme=light],
+[data-color-mode=dark][data-dark-theme=light],
+.vscode-body.vscode-light [data-color-mode=auto][data-light-theme=light],
+.vscode-body.vscode-dark [data-color-mode=auto][data-dark-theme=light] {
+  /*light*/
+  color-scheme: light;
+  --color-prettylights-syntax-comment: #6e7781;
+  --color-prettylights-syntax-constant: #0550ae;
+  --color-prettylights-syntax-entity: #6639ba;
+  --color-prettylights-syntax-storage-modifier-import: #24292f;
+  --color-prettylights-syntax-entity-tag: #116329;
+  --color-prettylights-syntax-keyword: #cf222e;
+  --color-prettylights-syntax-string: #0a3069;
+  --color-prettylights-syntax-variable: #953800;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #82071e;
+  --color-prettylights-syntax-invalid-illegal-text: #f6f8fa;
+  --color-prettylights-syntax-invalid-illegal-bg: #82071e;
+  --color-prettylights-syntax-carriage-return-text: #f6f8fa;
+  --color-prettylights-syntax-carriage-return-bg: #cf222e;
+  --color-prettylights-syntax-string-regexp: #116329;
+  --color-prettylights-syntax-markup-list: #3b2300;
+  --color-prettylights-syntax-markup-heading: #0550ae;
+  --color-prettylights-syntax-markup-italic: #24292f;
+  --color-prettylights-syntax-markup-bold: #24292f;
+  --color-prettylights-syntax-markup-deleted-text: #82071e;
+  --color-prettylights-syntax-markup-deleted-bg: #ffebe9;
+  --color-prettylights-syntax-markup-inserted-text: #116329;
+  --color-prettylights-syntax-markup-inserted-bg: #dafbe1;
+  --color-prettylights-syntax-markup-changed-text: #953800;
+  --color-prettylights-syntax-markup-changed-bg: #ffd8b5;
+  --color-prettylights-syntax-markup-ignored-text: #eaeef2;
+  --color-prettylights-syntax-markup-ignored-bg: #0550ae;
+  --color-prettylights-syntax-meta-diff-range: #8250df;
+  --color-prettylights-syntax-brackethighlighter-angle: #57606a;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #8c959f;
+  --color-prettylights-syntax-constant-other-reference-link: #0a3069;
+  --color-fg-default: #1F2328;
+  --color-fg-muted: #656d76;
+  --color-fg-subtle: #6e7781;
+  --color-canvas-default: #ffffff;
+  --color-canvas-subtle: #f6f8fa;
+  --color-border-default: #d0d7de;
+  --color-border-muted: hsla(210,18%,87%,1);
+  --color-neutral-muted: rgba(175,184,193,0.2);
+  --color-accent-fg: #0969da;
+  --color-accent-emphasis: #0969da;
+  --color-attention-subtle: #fff8c5;
+  --color-danger-fg: #d1242f;
+  --color-prettylights-syntax-comment: #6e7781;
+  --color-prettylights-syntax-constant: #0550ae;
+  --color-prettylights-syntax-entity: #6639ba;
+  --color-prettylights-syntax-storage-modifier-import: #24292f;
+  --color-prettylights-syntax-entity-tag: #116329;
+  --color-prettylights-syntax-keyword: #cf222e;
+  --color-prettylights-syntax-string: #0a3069;
+  --color-prettylights-syntax-variable: #953800;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #82071e;
+  --color-prettylights-syntax-invalid-illegal-text: #f6f8fa;
+  --color-prettylights-syntax-invalid-illegal-bg: #82071e;
+  --color-prettylights-syntax-carriage-return-text: #f6f8fa;
+  --color-prettylights-syntax-carriage-return-bg: #cf222e;
+  --color-prettylights-syntax-string-regexp: #116329;
+  --color-prettylights-syntax-markup-list: #3b2300;
+  --color-prettylights-syntax-markup-heading: #0550ae;
+  --color-prettylights-syntax-markup-italic: #24292f;
+  --color-prettylights-syntax-markup-bold: #24292f;
+  --color-prettylights-syntax-markup-deleted-text: #82071e;
+  --color-prettylights-syntax-markup-deleted-bg: #ffebe9;
+  --color-prettylights-syntax-markup-inserted-text: #116329;
+  --color-prettylights-syntax-markup-inserted-bg: #dafbe1;
+  --color-prettylights-syntax-markup-changed-text: #953800;
+  --color-prettylights-syntax-markup-changed-bg: #ffd8b5;
+  --color-prettylights-syntax-markup-ignored-text: #eaeef2;
+  --color-prettylights-syntax-markup-ignored-bg: #0550ae;
+  --color-prettylights-syntax-meta-diff-range: #8250df;
+  --color-prettylights-syntax-brackethighlighter-angle: #57606a;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #8c959f;
+  --color-prettylights-syntax-constant-other-reference-link: #0a3069;
+  --color-fg-default: #1F2328;
+  --color-fg-muted: #656d76;
+  --color-fg-subtle: #6e7781;
+  --color-canvas-default: #ffffff;
+  --color-canvas-subtle: #f6f8fa;
+  --color-border-default: #d0d7de;
+  --color-border-muted: hsla(210,18%,87%,1);
+  --color-neutral-muted: rgba(175,184,193,0.2);
+  --color-accent-fg: #0969da;
+  --color-accent-emphasis: #0969da;
+  --color-attention-subtle: #fff8c5;
+  --color-danger-fg: #d1242f;
+  --color-prettylights-syntax-comment: #6e7781;
+  --color-prettylights-syntax-constant: #0550ae;
+  --color-prettylights-syntax-entity: #6639ba;
+  --color-prettylights-syntax-storage-modifier-import: #24292f;
+  --color-prettylights-syntax-entity-tag: #116329;
+  --color-prettylights-syntax-keyword: #cf222e;
+  --color-prettylights-syntax-string: #0a3069;
+  --color-prettylights-syntax-variable: #953800;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #82071e;
+  --color-prettylights-syntax-invalid-illegal-text: #f6f8fa;
+  --color-prettylights-syntax-invalid-illegal-bg: #82071e;
+  --color-prettylights-syntax-carriage-return-text: #f6f8fa;
+  --color-prettylights-syntax-carriage-return-bg: #cf222e;
+  --color-prettylights-syntax-string-regexp: #116329;
+  --color-prettylights-syntax-markup-list: #3b2300;
+  --color-prettylights-syntax-markup-heading: #0550ae;
+  --color-prettylights-syntax-markup-italic: #24292f;
+  --color-prettylights-syntax-markup-bold: #24292f;
+  --color-prettylights-syntax-markup-deleted-text: #82071e;
+  --color-prettylights-syntax-markup-deleted-bg: #ffebe9;
+  --color-prettylights-syntax-markup-inserted-text: #116329;
+  --color-prettylights-syntax-markup-inserted-bg: #dafbe1;
+  --color-prettylights-syntax-markup-changed-text: #953800;
+  --color-prettylights-syntax-markup-changed-bg: #ffd8b5;
+  --color-prettylights-syntax-markup-ignored-text: #eaeef2;
+  --color-prettylights-syntax-markup-ignored-bg: #0550ae;
+  --color-prettylights-syntax-meta-diff-range: #8250df;
+  --color-prettylights-syntax-brackethighlighter-angle: #57606a;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #8c959f;
+  --color-prettylights-syntax-constant-other-reference-link: #0a3069;
+  --color-fg-default: #1F2328;
+  --color-fg-muted: #656d76;
+  --color-fg-subtle: #6e7781;
+  --color-canvas-default: #ffffff;
+  --color-canvas-subtle: #f6f8fa;
+  --color-border-default: #d0d7de;
+  --color-border-muted: hsla(210,18%,87%,1);
+  --color-neutral-muted: rgba(175,184,193,0.2);
+  --color-accent-fg: #0969da;
+  --color-accent-emphasis: #0969da;
+  --color-attention-subtle: #fff8c5;
+  --color-danger-fg: #d1242f;
+}
+@media (prefers-color-scheme: light) {
+  [data-color-mode='system'][data-light-theme=light] {
+  /*light*/
+  color-scheme: light;
+  --color-prettylights-syntax-comment: #6e7781;
+  --color-prettylights-syntax-constant: #0550ae;
+  --color-prettylights-syntax-entity: #6639ba;
+  --color-prettylights-syntax-storage-modifier-import: #24292f;
+  --color-prettylights-syntax-entity-tag: #116329;
+  --color-prettylights-syntax-keyword: #cf222e;
+  --color-prettylights-syntax-string: #0a3069;
+  --color-prettylights-syntax-variable: #953800;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #82071e;
+  --color-prettylights-syntax-invalid-illegal-text: #f6f8fa;
+  --color-prettylights-syntax-invalid-illegal-bg: #82071e;
+  --color-prettylights-syntax-carriage-return-text: #f6f8fa;
+  --color-prettylights-syntax-carriage-return-bg: #cf222e;
+  --color-prettylights-syntax-string-regexp: #116329;
+  --color-prettylights-syntax-markup-list: #3b2300;
+  --color-prettylights-syntax-markup-heading: #0550ae;
+  --color-prettylights-syntax-markup-italic: #24292f;
+  --color-prettylights-syntax-markup-bold: #24292f;
+  --color-prettylights-syntax-markup-deleted-text: #82071e;
+  --color-prettylights-syntax-markup-deleted-bg: #ffebe9;
+  --color-prettylights-syntax-markup-inserted-text: #116329;
+  --color-prettylights-syntax-markup-inserted-bg: #dafbe1;
+  --color-prettylights-syntax-markup-changed-text: #953800;
+  --color-prettylights-syntax-markup-changed-bg: #ffd8b5;
+  --color-prettylights-syntax-markup-ignored-text: #eaeef2;
+  --color-prettylights-syntax-markup-ignored-bg: #0550ae;
+  --color-prettylights-syntax-meta-diff-range: #8250df;
+  --color-prettylights-syntax-brackethighlighter-angle: #57606a;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #8c959f;
+  --color-prettylights-syntax-constant-other-reference-link: #0a3069;
+  --color-fg-default: #1F2328;
+  --color-fg-muted: #656d76;
+  --color-fg-subtle: #6e7781;
+  --color-canvas-default: #ffffff;
+  --color-canvas-subtle: #f6f8fa;
+  --color-border-default: #d0d7de;
+  --color-border-muted: hsla(210,18%,87%,1);
+  --color-neutral-muted: rgba(175,184,193,0.2);
+  --color-accent-fg: #0969da;
+  --color-accent-emphasis: #0969da;
+  --color-attention-subtle: #fff8c5;
+  --color-danger-fg: #d1242f;
+  --color-prettylights-syntax-comment: #6e7781;
+  --color-prettylights-syntax-constant: #0550ae;
+  --color-prettylights-syntax-entity: #6639ba;
+  --color-prettylights-syntax-storage-modifier-import: #24292f;
+  --color-prettylights-syntax-entity-tag: #116329;
+  --color-prettylights-syntax-keyword: #cf222e;
+  --color-prettylights-syntax-string: #0a3069;
+  --color-prettylights-syntax-variable: #953800;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #82071e;
+  --color-prettylights-syntax-invalid-illegal-text: #f6f8fa;
+  --color-prettylights-syntax-invalid-illegal-bg: #82071e;
+  --color-prettylights-syntax-carriage-return-text: #f6f8fa;
+  --color-prettylights-syntax-carriage-return-bg: #cf222e;
+  --color-prettylights-syntax-string-regexp: #116329;
+  --color-prettylights-syntax-markup-list: #3b2300;
+  --color-prettylights-syntax-markup-heading: #0550ae;
+  --color-prettylights-syntax-markup-italic: #24292f;
+  --color-prettylights-syntax-markup-bold: #24292f;
+  --color-prettylights-syntax-markup-deleted-text: #82071e;
+  --color-prettylights-syntax-markup-deleted-bg: #ffebe9;
+  --color-prettylights-syntax-markup-inserted-text: #116329;
+  --color-prettylights-syntax-markup-inserted-bg: #dafbe1;
+  --color-prettylights-syntax-markup-changed-text: #953800;
+  --color-prettylights-syntax-markup-changed-bg: #ffd8b5;
+  --color-prettylights-syntax-markup-ignored-text: #eaeef2;
+  --color-prettylights-syntax-markup-ignored-bg: #0550ae;
+  --color-prettylights-syntax-meta-diff-range: #8250df;
+  --color-prettylights-syntax-brackethighlighter-angle: #57606a;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #8c959f;
+  --color-prettylights-syntax-constant-other-reference-link: #0a3069;
+  --color-fg-default: #1F2328;
+  --color-fg-muted: #656d76;
+  --color-fg-subtle: #6e7781;
+  --color-canvas-default: #ffffff;
+  --color-canvas-subtle: #f6f8fa;
+  --color-border-default: #d0d7de;
+  --color-border-muted: hsla(210,18%,87%,1);
+  --color-neutral-muted: rgba(175,184,193,0.2);
+  --color-accent-fg: #0969da;
+  --color-accent-emphasis: #0969da;
+  --color-attention-subtle: #fff8c5;
+  --color-danger-fg: #d1242f;
+  --color-prettylights-syntax-comment: #6e7781;
+  --color-prettylights-syntax-constant: #0550ae;
+  --color-prettylights-syntax-entity: #6639ba;
+  --color-prettylights-syntax-storage-modifier-import: #24292f;
+  --color-prettylights-syntax-entity-tag: #116329;
+  --color-prettylights-syntax-keyword: #cf222e;
+  --color-prettylights-syntax-string: #0a3069;
+  --color-prettylights-syntax-variable: #953800;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #82071e;
+  --color-prettylights-syntax-invalid-illegal-text: #f6f8fa;
+  --color-prettylights-syntax-invalid-illegal-bg: #82071e;
+  --color-prettylights-syntax-carriage-return-text: #f6f8fa;
+  --color-prettylights-syntax-carriage-return-bg: #cf222e;
+  --color-prettylights-syntax-string-regexp: #116329;
+  --color-prettylights-syntax-markup-list: #3b2300;
+  --color-prettylights-syntax-markup-heading: #0550ae;
+  --color-prettylights-syntax-markup-italic: #24292f;
+  --color-prettylights-syntax-markup-bold: #24292f;
+  --color-prettylights-syntax-markup-deleted-text: #82071e;
+  --color-prettylights-syntax-markup-deleted-bg: #ffebe9;
+  --color-prettylights-syntax-markup-inserted-text: #116329;
+  --color-prettylights-syntax-markup-inserted-bg: #dafbe1;
+  --color-prettylights-syntax-markup-changed-text: #953800;
+  --color-prettylights-syntax-markup-changed-bg: #ffd8b5;
+  --color-prettylights-syntax-markup-ignored-text: #eaeef2;
+  --color-prettylights-syntax-markup-ignored-bg: #0550ae;
+  --color-prettylights-syntax-meta-diff-range: #8250df;
+  --color-prettylights-syntax-brackethighlighter-angle: #57606a;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #8c959f;
+  --color-prettylights-syntax-constant-other-reference-link: #0a3069;
+  --color-fg-default: #1F2328;
+  --color-fg-muted: #656d76;
+  --color-fg-subtle: #6e7781;
+  --color-canvas-default: #ffffff;
+  --color-canvas-subtle: #f6f8fa;
+  --color-border-default: #d0d7de;
+  --color-border-muted: hsla(210,18%,87%,1);
+  --color-neutral-muted: rgba(175,184,193,0.2);
+  --color-accent-fg: #0969da;
+  --color-accent-emphasis: #0969da;
+  --color-attention-subtle: #fff8c5;
+  --color-danger-fg: #d1242f;
+}
+}
+
+@media (prefers-color-scheme: dark) {
+  [data-color-mode='system'][data-dark-theme=light] {
+  /*light*/
+  color-scheme: light;
+  --color-prettylights-syntax-comment: #6e7781;
+  --color-prettylights-syntax-constant: #0550ae;
+  --color-prettylights-syntax-entity: #6639ba;
+  --color-prettylights-syntax-storage-modifier-import: #24292f;
+  --color-prettylights-syntax-entity-tag: #116329;
+  --color-prettylights-syntax-keyword: #cf222e;
+  --color-prettylights-syntax-string: #0a3069;
+  --color-prettylights-syntax-variable: #953800;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #82071e;
+  --color-prettylights-syntax-invalid-illegal-text: #f6f8fa;
+  --color-prettylights-syntax-invalid-illegal-bg: #82071e;
+  --color-prettylights-syntax-carriage-return-text: #f6f8fa;
+  --color-prettylights-syntax-carriage-return-bg: #cf222e;
+  --color-prettylights-syntax-string-regexp: #116329;
+  --color-prettylights-syntax-markup-list: #3b2300;
+  --color-prettylights-syntax-markup-heading: #0550ae;
+  --color-prettylights-syntax-markup-italic: #24292f;
+  --color-prettylights-syntax-markup-bold: #24292f;
+  --color-prettylights-syntax-markup-deleted-text: #82071e;
+  --color-prettylights-syntax-markup-deleted-bg: #ffebe9;
+  --color-prettylights-syntax-markup-inserted-text: #116329;
+  --color-prettylights-syntax-markup-inserted-bg: #dafbe1;
+  --color-prettylights-syntax-markup-changed-text: #953800;
+  --color-prettylights-syntax-markup-changed-bg: #ffd8b5;
+  --color-prettylights-syntax-markup-ignored-text: #eaeef2;
+  --color-prettylights-syntax-markup-ignored-bg: #0550ae;
+  --color-prettylights-syntax-meta-diff-range: #8250df;
+  --color-prettylights-syntax-brackethighlighter-angle: #57606a;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #8c959f;
+  --color-prettylights-syntax-constant-other-reference-link: #0a3069;
+  --color-fg-default: #1F2328;
+  --color-fg-muted: #656d76;
+  --color-fg-subtle: #6e7781;
+  --color-canvas-default: #ffffff;
+  --color-canvas-subtle: #f6f8fa;
+  --color-border-default: #d0d7de;
+  --color-border-muted: hsla(210,18%,87%,1);
+  --color-neutral-muted: rgba(175,184,193,0.2);
+  --color-accent-fg: #0969da;
+  --color-accent-emphasis: #0969da;
+  --color-attention-subtle: #fff8c5;
+  --color-danger-fg: #d1242f;
+  --color-prettylights-syntax-comment: #6e7781;
+  --color-prettylights-syntax-constant: #0550ae;
+  --color-prettylights-syntax-entity: #6639ba;
+  --color-prettylights-syntax-storage-modifier-import: #24292f;
+  --color-prettylights-syntax-entity-tag: #116329;
+  --color-prettylights-syntax-keyword: #cf222e;
+  --color-prettylights-syntax-string: #0a3069;
+  --color-prettylights-syntax-variable: #953800;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #82071e;
+  --color-prettylights-syntax-invalid-illegal-text: #f6f8fa;
+  --color-prettylights-syntax-invalid-illegal-bg: #82071e;
+  --color-prettylights-syntax-carriage-return-text: #f6f8fa;
+  --color-prettylights-syntax-carriage-return-bg: #cf222e;
+  --color-prettylights-syntax-string-regexp: #116329;
+  --color-prettylights-syntax-markup-list: #3b2300;
+  --color-prettylights-syntax-markup-heading: #0550ae;
+  --color-prettylights-syntax-markup-italic: #24292f;
+  --color-prettylights-syntax-markup-bold: #24292f;
+  --color-prettylights-syntax-markup-deleted-text: #82071e;
+  --color-prettylights-syntax-markup-deleted-bg: #ffebe9;
+  --color-prettylights-syntax-markup-inserted-text: #116329;
+  --color-prettylights-syntax-markup-inserted-bg: #dafbe1;
+  --color-prettylights-syntax-markup-changed-text: #953800;
+  --color-prettylights-syntax-markup-changed-bg: #ffd8b5;
+  --color-prettylights-syntax-markup-ignored-text: #eaeef2;
+  --color-prettylights-syntax-markup-ignored-bg: #0550ae;
+  --color-prettylights-syntax-meta-diff-range: #8250df;
+  --color-prettylights-syntax-brackethighlighter-angle: #57606a;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #8c959f;
+  --color-prettylights-syntax-constant-other-reference-link: #0a3069;
+  --color-fg-default: #1F2328;
+  --color-fg-muted: #656d76;
+  --color-fg-subtle: #6e7781;
+  --color-canvas-default: #ffffff;
+  --color-canvas-subtle: #f6f8fa;
+  --color-border-default: #d0d7de;
+  --color-border-muted: hsla(210,18%,87%,1);
+  --color-neutral-muted: rgba(175,184,193,0.2);
+  --color-accent-fg: #0969da;
+  --color-accent-emphasis: #0969da;
+  --color-attention-subtle: #fff8c5;
+  --color-danger-fg: #d1242f;
+  --color-prettylights-syntax-comment: #6e7781;
+  --color-prettylights-syntax-constant: #0550ae;
+  --color-prettylights-syntax-entity: #6639ba;
+  --color-prettylights-syntax-storage-modifier-import: #24292f;
+  --color-prettylights-syntax-entity-tag: #116329;
+  --color-prettylights-syntax-keyword: #cf222e;
+  --color-prettylights-syntax-string: #0a3069;
+  --color-prettylights-syntax-variable: #953800;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #82071e;
+  --color-prettylights-syntax-invalid-illegal-text: #f6f8fa;
+  --color-prettylights-syntax-invalid-illegal-bg: #82071e;
+  --color-prettylights-syntax-carriage-return-text: #f6f8fa;
+  --color-prettylights-syntax-carriage-return-bg: #cf222e;
+  --color-prettylights-syntax-string-regexp: #116329;
+  --color-prettylights-syntax-markup-list: #3b2300;
+  --color-prettylights-syntax-markup-heading: #0550ae;
+  --color-prettylights-syntax-markup-italic: #24292f;
+  --color-prettylights-syntax-markup-bold: #24292f;
+  --color-prettylights-syntax-markup-deleted-text: #82071e;
+  --color-prettylights-syntax-markup-deleted-bg: #ffebe9;
+  --color-prettylights-syntax-markup-inserted-text: #116329;
+  --color-prettylights-syntax-markup-inserted-bg: #dafbe1;
+  --color-prettylights-syntax-markup-changed-text: #953800;
+  --color-prettylights-syntax-markup-changed-bg: #ffd8b5;
+  --color-prettylights-syntax-markup-ignored-text: #eaeef2;
+  --color-prettylights-syntax-markup-ignored-bg: #0550ae;
+  --color-prettylights-syntax-meta-diff-range: #8250df;
+  --color-prettylights-syntax-brackethighlighter-angle: #57606a;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #8c959f;
+  --color-prettylights-syntax-constant-other-reference-link: #0a3069;
+  --color-fg-default: #1F2328;
+  --color-fg-muted: #656d76;
+  --color-fg-subtle: #6e7781;
+  --color-canvas-default: #ffffff;
+  --color-canvas-subtle: #f6f8fa;
+  --color-border-default: #d0d7de;
+  --color-border-muted: hsla(210,18%,87%,1);
+  --color-neutral-muted: rgba(175,184,193,0.2);
+  --color-accent-fg: #0969da;
+  --color-accent-emphasis: #0969da;
+  --color-attention-subtle: #fff8c5;
+  --color-danger-fg: #d1242f;
+}
+}
+
+[data-color-mode=light][data-light-theme=light_colorblind],
+[data-color-mode=dark][data-dark-theme=light_colorblind],
+.vscode-body.vscode-light [data-color-mode=auto][data-light-theme=light_colorblind],
+.vscode-body.vscode-dark [data-color-mode=auto][data-dark-theme=light_colorblind] {
+  /*light_colorblind*/
+  color-scheme: light;
+  --color-prettylights-syntax-comment: #6e7781;
+  --color-prettylights-syntax-constant: #0550ae;
+  --color-prettylights-syntax-entity: #6639ba;
+  --color-prettylights-syntax-storage-modifier-import: #24292f;
+  --color-prettylights-syntax-entity-tag: #0550ae;
+  --color-prettylights-syntax-keyword: #b35900;
+  --color-prettylights-syntax-string: #0a3069;
+  --color-prettylights-syntax-variable: #8a4600;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #6f3800;
+  --color-prettylights-syntax-invalid-illegal-text: #f6f8fa;
+  --color-prettylights-syntax-invalid-illegal-bg: #6f3800;
+  --color-prettylights-syntax-carriage-return-text: #f6f8fa;
+  --color-prettylights-syntax-carriage-return-bg: #b35900;
+  --color-prettylights-syntax-string-regexp: #0550ae;
+  --color-prettylights-syntax-markup-list: #3b2300;
+  --color-prettylights-syntax-markup-heading: #0550ae;
+  --color-prettylights-syntax-markup-italic: #24292f;
+  --color-prettylights-syntax-markup-bold: #24292f;
+  --color-prettylights-syntax-markup-deleted-text: #6f3800;
+  --color-prettylights-syntax-markup-deleted-bg: #fff5e8;
+  --color-prettylights-syntax-markup-inserted-text: #0550ae;
+  --color-prettylights-syntax-markup-inserted-bg: #ddf4ff;
+  --color-prettylights-syntax-markup-changed-text: #8a4600;
+  --color-prettylights-syntax-markup-changed-bg: #ffddb0;
+  --color-prettylights-syntax-markup-ignored-text: #eaeef2;
+  --color-prettylights-syntax-markup-ignored-bg: #0550ae;
+  --color-prettylights-syntax-meta-diff-range: #8250df;
+  --color-prettylights-syntax-brackethighlighter-angle: #57606a;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #8c959f;
+  --color-prettylights-syntax-constant-other-reference-link: #0a3069;
+  --color-fg-default: #24292f;
+  --color-fg-muted: #57606a;
+  --color-fg-subtle: #6e7781;
+  --color-canvas-default: #ffffff;
+  --color-canvas-subtle: #f6f8fa;
+  --color-border-default: #d0d7de;
+  --color-border-muted: hsla(210,18%,87%,1);
+  --color-neutral-muted: rgba(175,184,193,0.2);
+  --color-accent-fg: #0969da;
+  --color-accent-emphasis: #0969da;
+  --color-attention-subtle: #fff8c5;
+  --color-danger-fg: #b35900;
+}
+@media (prefers-color-scheme: light) {
+  [data-color-mode='system'][data-light-theme=light_colorblind] {
+  /*light_colorblind*/
+  color-scheme: light;
+  --color-prettylights-syntax-comment: #6e7781;
+  --color-prettylights-syntax-constant: #0550ae;
+  --color-prettylights-syntax-entity: #6639ba;
+  --color-prettylights-syntax-storage-modifier-import: #24292f;
+  --color-prettylights-syntax-entity-tag: #0550ae;
+  --color-prettylights-syntax-keyword: #b35900;
+  --color-prettylights-syntax-string: #0a3069;
+  --color-prettylights-syntax-variable: #8a4600;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #6f3800;
+  --color-prettylights-syntax-invalid-illegal-text: #f6f8fa;
+  --color-prettylights-syntax-invalid-illegal-bg: #6f3800;
+  --color-prettylights-syntax-carriage-return-text: #f6f8fa;
+  --color-prettylights-syntax-carriage-return-bg: #b35900;
+  --color-prettylights-syntax-string-regexp: #0550ae;
+  --color-prettylights-syntax-markup-list: #3b2300;
+  --color-prettylights-syntax-markup-heading: #0550ae;
+  --color-prettylights-syntax-markup-italic: #24292f;
+  --color-prettylights-syntax-markup-bold: #24292f;
+  --color-prettylights-syntax-markup-deleted-text: #6f3800;
+  --color-prettylights-syntax-markup-deleted-bg: #fff5e8;
+  --color-prettylights-syntax-markup-inserted-text: #0550ae;
+  --color-prettylights-syntax-markup-inserted-bg: #ddf4ff;
+  --color-prettylights-syntax-markup-changed-text: #8a4600;
+  --color-prettylights-syntax-markup-changed-bg: #ffddb0;
+  --color-prettylights-syntax-markup-ignored-text: #eaeef2;
+  --color-prettylights-syntax-markup-ignored-bg: #0550ae;
+  --color-prettylights-syntax-meta-diff-range: #8250df;
+  --color-prettylights-syntax-brackethighlighter-angle: #57606a;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #8c959f;
+  --color-prettylights-syntax-constant-other-reference-link: #0a3069;
+  --color-fg-default: #24292f;
+  --color-fg-muted: #57606a;
+  --color-fg-subtle: #6e7781;
+  --color-canvas-default: #ffffff;
+  --color-canvas-subtle: #f6f8fa;
+  --color-border-default: #d0d7de;
+  --color-border-muted: hsla(210,18%,87%,1);
+  --color-neutral-muted: rgba(175,184,193,0.2);
+  --color-accent-fg: #0969da;
+  --color-accent-emphasis: #0969da;
+  --color-attention-subtle: #fff8c5;
+  --color-danger-fg: #b35900;
+}
+}
+
+@media (prefers-color-scheme: dark) {
+  [data-color-mode='system'][data-dark-theme=light_colorblind] {
+  /*light_colorblind*/
+  color-scheme: light;
+  --color-prettylights-syntax-comment: #6e7781;
+  --color-prettylights-syntax-constant: #0550ae;
+  --color-prettylights-syntax-entity: #6639ba;
+  --color-prettylights-syntax-storage-modifier-import: #24292f;
+  --color-prettylights-syntax-entity-tag: #0550ae;
+  --color-prettylights-syntax-keyword: #b35900;
+  --color-prettylights-syntax-string: #0a3069;
+  --color-prettylights-syntax-variable: #8a4600;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #6f3800;
+  --color-prettylights-syntax-invalid-illegal-text: #f6f8fa;
+  --color-prettylights-syntax-invalid-illegal-bg: #6f3800;
+  --color-prettylights-syntax-carriage-return-text: #f6f8fa;
+  --color-prettylights-syntax-carriage-return-bg: #b35900;
+  --color-prettylights-syntax-string-regexp: #0550ae;
+  --color-prettylights-syntax-markup-list: #3b2300;
+  --color-prettylights-syntax-markup-heading: #0550ae;
+  --color-prettylights-syntax-markup-italic: #24292f;
+  --color-prettylights-syntax-markup-bold: #24292f;
+  --color-prettylights-syntax-markup-deleted-text: #6f3800;
+  --color-prettylights-syntax-markup-deleted-bg: #fff5e8;
+  --color-prettylights-syntax-markup-inserted-text: #0550ae;
+  --color-prettylights-syntax-markup-inserted-bg: #ddf4ff;
+  --color-prettylights-syntax-markup-changed-text: #8a4600;
+  --color-prettylights-syntax-markup-changed-bg: #ffddb0;
+  --color-prettylights-syntax-markup-ignored-text: #eaeef2;
+  --color-prettylights-syntax-markup-ignored-bg: #0550ae;
+  --color-prettylights-syntax-meta-diff-range: #8250df;
+  --color-prettylights-syntax-brackethighlighter-angle: #57606a;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #8c959f;
+  --color-prettylights-syntax-constant-other-reference-link: #0a3069;
+  --color-fg-default: #24292f;
+  --color-fg-muted: #57606a;
+  --color-fg-subtle: #6e7781;
+  --color-canvas-default: #ffffff;
+  --color-canvas-subtle: #f6f8fa;
+  --color-border-default: #d0d7de;
+  --color-border-muted: hsla(210,18%,87%,1);
+  --color-neutral-muted: rgba(175,184,193,0.2);
+  --color-accent-fg: #0969da;
+  --color-accent-emphasis: #0969da;
+  --color-attention-subtle: #fff8c5;
+  --color-danger-fg: #b35900;
+}
+}
+
+[data-color-mode=light][data-light-theme=light_tritanopia],
+[data-color-mode=dark][data-dark-theme=light_tritanopia],
+.vscode-body.vscode-light [data-color-mode=auto][data-light-theme=light_tritanopia],
+.vscode-body.vscode-dark [data-color-mode=auto][data-dark-theme=light_tritanopia] {
+  /*light_tritanopia*/
+  color-scheme: light;
+  --color-prettylights-syntax-comment: #6e7781;
+  --color-prettylights-syntax-constant: #0550ae;
+  --color-prettylights-syntax-entity: #6639ba;
+  --color-prettylights-syntax-storage-modifier-import: #24292f;
+  --color-prettylights-syntax-entity-tag: #0550ae;
+  --color-prettylights-syntax-keyword: #cf222e;
+  --color-prettylights-syntax-string: #0a3069;
+  --color-prettylights-syntax-variable: #a40e26;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #82071e;
+  --color-prettylights-syntax-invalid-illegal-text: #f6f8fa;
+  --color-prettylights-syntax-invalid-illegal-bg: #82071e;
+  --color-prettylights-syntax-carriage-return-text: #f6f8fa;
+  --color-prettylights-syntax-carriage-return-bg: #cf222e;
+  --color-prettylights-syntax-string-regexp: #0550ae;
+  --color-prettylights-syntax-markup-list: #3b2300;
+  --color-prettylights-syntax-markup-heading: #0550ae;
+  --color-prettylights-syntax-markup-italic: #24292f;
+  --color-prettylights-syntax-markup-bold: #24292f;
+  --color-prettylights-syntax-markup-deleted-text: #82071e;
+  --color-prettylights-syntax-markup-deleted-bg: #ffebe9;
+  --color-prettylights-syntax-markup-inserted-text: #0550ae;
+  --color-prettylights-syntax-markup-inserted-bg: #ddf4ff;
+  --color-prettylights-syntax-markup-changed-text: #a40e26;
+  --color-prettylights-syntax-markup-changed-bg: #ffcecb;
+  --color-prettylights-syntax-markup-ignored-text: #eaeef2;
+  --color-prettylights-syntax-markup-ignored-bg: #0550ae;
+  --color-prettylights-syntax-meta-diff-range: #8250df;
+  --color-prettylights-syntax-brackethighlighter-angle: #57606a;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #8c959f;
+  --color-prettylights-syntax-constant-other-reference-link: #0a3069;
+  --color-fg-default: #24292f;
+  --color-fg-muted: #57606a;
+  --color-fg-subtle: #6e7781;
+  --color-canvas-default: #ffffff;
+  --color-canvas-subtle: #f6f8fa;
+  --color-border-default: #d0d7de;
+  --color-border-muted: hsla(210,18%,87%,1);
+  --color-neutral-muted: rgba(175,184,193,0.2);
+  --color-accent-fg: #0969da;
+  --color-accent-emphasis: #0969da;
+  --color-attention-subtle: #fff8c5;
+  --color-danger-fg: #cf222e;
+}
+@media (prefers-color-scheme: light) {
+  [data-color-mode='system'][data-light-theme=light_tritanopia] {
+  /*light_tritanopia*/
+  color-scheme: light;
+  --color-prettylights-syntax-comment: #6e7781;
+  --color-prettylights-syntax-constant: #0550ae;
+  --color-prettylights-syntax-entity: #6639ba;
+  --color-prettylights-syntax-storage-modifier-import: #24292f;
+  --color-prettylights-syntax-entity-tag: #0550ae;
+  --color-prettylights-syntax-keyword: #cf222e;
+  --color-prettylights-syntax-string: #0a3069;
+  --color-prettylights-syntax-variable: #a40e26;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #82071e;
+  --color-prettylights-syntax-invalid-illegal-text: #f6f8fa;
+  --color-prettylights-syntax-invalid-illegal-bg: #82071e;
+  --color-prettylights-syntax-carriage-return-text: #f6f8fa;
+  --color-prettylights-syntax-carriage-return-bg: #cf222e;
+  --color-prettylights-syntax-string-regexp: #0550ae;
+  --color-prettylights-syntax-markup-list: #3b2300;
+  --color-prettylights-syntax-markup-heading: #0550ae;
+  --color-prettylights-syntax-markup-italic: #24292f;
+  --color-prettylights-syntax-markup-bold: #24292f;
+  --color-prettylights-syntax-markup-deleted-text: #82071e;
+  --color-prettylights-syntax-markup-deleted-bg: #ffebe9;
+  --color-prettylights-syntax-markup-inserted-text: #0550ae;
+  --color-prettylights-syntax-markup-inserted-bg: #ddf4ff;
+  --color-prettylights-syntax-markup-changed-text: #a40e26;
+  --color-prettylights-syntax-markup-changed-bg: #ffcecb;
+  --color-prettylights-syntax-markup-ignored-text: #eaeef2;
+  --color-prettylights-syntax-markup-ignored-bg: #0550ae;
+  --color-prettylights-syntax-meta-diff-range: #8250df;
+  --color-prettylights-syntax-brackethighlighter-angle: #57606a;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #8c959f;
+  --color-prettylights-syntax-constant-other-reference-link: #0a3069;
+  --color-fg-default: #24292f;
+  --color-fg-muted: #57606a;
+  --color-fg-subtle: #6e7781;
+  --color-canvas-default: #ffffff;
+  --color-canvas-subtle: #f6f8fa;
+  --color-border-default: #d0d7de;
+  --color-border-muted: hsla(210,18%,87%,1);
+  --color-neutral-muted: rgba(175,184,193,0.2);
+  --color-accent-fg: #0969da;
+  --color-accent-emphasis: #0969da;
+  --color-attention-subtle: #fff8c5;
+  --color-danger-fg: #cf222e;
+}
+}
+
+@media (prefers-color-scheme: dark) {
+  [data-color-mode='system'][data-dark-theme=light_tritanopia] {
+  /*light_tritanopia*/
+  color-scheme: light;
+  --color-prettylights-syntax-comment: #6e7781;
+  --color-prettylights-syntax-constant: #0550ae;
+  --color-prettylights-syntax-entity: #6639ba;
+  --color-prettylights-syntax-storage-modifier-import: #24292f;
+  --color-prettylights-syntax-entity-tag: #0550ae;
+  --color-prettylights-syntax-keyword: #cf222e;
+  --color-prettylights-syntax-string: #0a3069;
+  --color-prettylights-syntax-variable: #a40e26;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #82071e;
+  --color-prettylights-syntax-invalid-illegal-text: #f6f8fa;
+  --color-prettylights-syntax-invalid-illegal-bg: #82071e;
+  --color-prettylights-syntax-carriage-return-text: #f6f8fa;
+  --color-prettylights-syntax-carriage-return-bg: #cf222e;
+  --color-prettylights-syntax-string-regexp: #0550ae;
+  --color-prettylights-syntax-markup-list: #3b2300;
+  --color-prettylights-syntax-markup-heading: #0550ae;
+  --color-prettylights-syntax-markup-italic: #24292f;
+  --color-prettylights-syntax-markup-bold: #24292f;
+  --color-prettylights-syntax-markup-deleted-text: #82071e;
+  --color-prettylights-syntax-markup-deleted-bg: #ffebe9;
+  --color-prettylights-syntax-markup-inserted-text: #0550ae;
+  --color-prettylights-syntax-markup-inserted-bg: #ddf4ff;
+  --color-prettylights-syntax-markup-changed-text: #a40e26;
+  --color-prettylights-syntax-markup-changed-bg: #ffcecb;
+  --color-prettylights-syntax-markup-ignored-text: #eaeef2;
+  --color-prettylights-syntax-markup-ignored-bg: #0550ae;
+  --color-prettylights-syntax-meta-diff-range: #8250df;
+  --color-prettylights-syntax-brackethighlighter-angle: #57606a;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #8c959f;
+  --color-prettylights-syntax-constant-other-reference-link: #0a3069;
+  --color-fg-default: #24292f;
+  --color-fg-muted: #57606a;
+  --color-fg-subtle: #6e7781;
+  --color-canvas-default: #ffffff;
+  --color-canvas-subtle: #f6f8fa;
+  --color-border-default: #d0d7de;
+  --color-border-muted: hsla(210,18%,87%,1);
+  --color-neutral-muted: rgba(175,184,193,0.2);
+  --color-accent-fg: #0969da;
+  --color-accent-emphasis: #0969da;
+  --color-attention-subtle: #fff8c5;
+  --color-danger-fg: #cf222e;
+}
+}
+
+[data-color-mode=light][data-light-theme=light_high_contrast],
+[data-color-mode=dark][data-dark-theme=light_high_contrast],
+.vscode-body.vscode-light [data-color-mode=auto][data-light-theme=light_high_contrast],
+.vscode-body.vscode-dark [data-color-mode=auto][data-dark-theme=light_high_contrast] {
+  /*light_high_contrast*/
+  color-scheme: light;
+  --color-prettylights-syntax-comment: #66707b;
+  --color-prettylights-syntax-constant: #023b95;
+  --color-prettylights-syntax-entity: #512598;
+  --color-prettylights-syntax-storage-modifier-import: #0e1116;
+  --color-prettylights-syntax-entity-tag: #024c1a;
+  --color-prettylights-syntax-keyword: #a0111f;
+  --color-prettylights-syntax-string: #032563;
+  --color-prettylights-syntax-variable: #702c00;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #6e011a;
+  --color-prettylights-syntax-invalid-illegal-text: #ffffff;
+  --color-prettylights-syntax-invalid-illegal-bg: #6e011a;
+  --color-prettylights-syntax-carriage-return-text: #ffffff;
+  --color-prettylights-syntax-carriage-return-bg: #a0111f;
+  --color-prettylights-syntax-string-regexp: #024c1a;
+  --color-prettylights-syntax-markup-list: #2e1800;
+  --color-prettylights-syntax-markup-heading: #023b95;
+  --color-prettylights-syntax-markup-italic: #0e1116;
+  --color-prettylights-syntax-markup-bold: #0e1116;
+  --color-prettylights-syntax-markup-deleted-text: #6e011a;
+  --color-prettylights-syntax-markup-deleted-bg: #fff0ee;
+  --color-prettylights-syntax-markup-inserted-text: #024c1a;
+  --color-prettylights-syntax-markup-inserted-bg: #d2fedb;
+  --color-prettylights-syntax-markup-changed-text: #702c00;
+  --color-prettylights-syntax-markup-changed-bg: #ffc67b;
+  --color-prettylights-syntax-markup-ignored-text: #e7ecf0;
+  --color-prettylights-syntax-markup-ignored-bg: #023b95;
+  --color-prettylights-syntax-meta-diff-range: #622cbc;
+  --color-prettylights-syntax-brackethighlighter-angle: #4b535d;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #88929d;
+  --color-prettylights-syntax-constant-other-reference-link: #032563;
+  --color-fg-default: #0e1116;
+  --color-fg-muted: #0e1116;
+  --color-fg-subtle: #66707b;
+  --color-canvas-default: #ffffff;
+  --color-canvas-subtle: #e7ecf0;
+  --color-border-default: #20252c;
+  --color-border-muted: #88929d;
+  --color-neutral-muted: rgba(172,182,192,0.2);
+  --color-accent-fg: #0349b4;
+  --color-accent-emphasis: #0349b4;
+  --color-attention-subtle: #fcf7be;
+  --color-danger-fg: #d1242f;
+}
+@media (prefers-color-scheme: light) {
+  [data-color-mode='system'][data-light-theme=light_high_contrast] {
+  /*light_high_contrast*/
+  color-scheme: light;
+  --color-prettylights-syntax-comment: #66707b;
+  --color-prettylights-syntax-constant: #023b95;
+  --color-prettylights-syntax-entity: #512598;
+  --color-prettylights-syntax-storage-modifier-import: #0e1116;
+  --color-prettylights-syntax-entity-tag: #024c1a;
+  --color-prettylights-syntax-keyword: #a0111f;
+  --color-prettylights-syntax-string: #032563;
+  --color-prettylights-syntax-variable: #702c00;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #6e011a;
+  --color-prettylights-syntax-invalid-illegal-text: #ffffff;
+  --color-prettylights-syntax-invalid-illegal-bg: #6e011a;
+  --color-prettylights-syntax-carriage-return-text: #ffffff;
+  --color-prettylights-syntax-carriage-return-bg: #a0111f;
+  --color-prettylights-syntax-string-regexp: #024c1a;
+  --color-prettylights-syntax-markup-list: #2e1800;
+  --color-prettylights-syntax-markup-heading: #023b95;
+  --color-prettylights-syntax-markup-italic: #0e1116;
+  --color-prettylights-syntax-markup-bold: #0e1116;
+  --color-prettylights-syntax-markup-deleted-text: #6e011a;
+  --color-prettylights-syntax-markup-deleted-bg: #fff0ee;
+  --color-prettylights-syntax-markup-inserted-text: #024c1a;
+  --color-prettylights-syntax-markup-inserted-bg: #d2fedb;
+  --color-prettylights-syntax-markup-changed-text: #702c00;
+  --color-prettylights-syntax-markup-changed-bg: #ffc67b;
+  --color-prettylights-syntax-markup-ignored-text: #e7ecf0;
+  --color-prettylights-syntax-markup-ignored-bg: #023b95;
+  --color-prettylights-syntax-meta-diff-range: #622cbc;
+  --color-prettylights-syntax-brackethighlighter-angle: #4b535d;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #88929d;
+  --color-prettylights-syntax-constant-other-reference-link: #032563;
+  --color-fg-default: #0e1116;
+  --color-fg-muted: #0e1116;
+  --color-fg-subtle: #66707b;
+  --color-canvas-default: #ffffff;
+  --color-canvas-subtle: #e7ecf0;
+  --color-border-default: #20252c;
+  --color-border-muted: #88929d;
+  --color-neutral-muted: rgba(172,182,192,0.2);
+  --color-accent-fg: #0349b4;
+  --color-accent-emphasis: #0349b4;
+  --color-attention-subtle: #fcf7be;
+  --color-danger-fg: #d1242f;
+}
+}
+
+@media (prefers-color-scheme: dark) {
+  [data-color-mode='system'][data-dark-theme=light_high_contrast] {
+  /*light_high_contrast*/
+  color-scheme: light;
+  --color-prettylights-syntax-comment: #66707b;
+  --color-prettylights-syntax-constant: #023b95;
+  --color-prettylights-syntax-entity: #512598;
+  --color-prettylights-syntax-storage-modifier-import: #0e1116;
+  --color-prettylights-syntax-entity-tag: #024c1a;
+  --color-prettylights-syntax-keyword: #a0111f;
+  --color-prettylights-syntax-string: #032563;
+  --color-prettylights-syntax-variable: #702c00;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #6e011a;
+  --color-prettylights-syntax-invalid-illegal-text: #ffffff;
+  --color-prettylights-syntax-invalid-illegal-bg: #6e011a;
+  --color-prettylights-syntax-carriage-return-text: #ffffff;
+  --color-prettylights-syntax-carriage-return-bg: #a0111f;
+  --color-prettylights-syntax-string-regexp: #024c1a;
+  --color-prettylights-syntax-markup-list: #2e1800;
+  --color-prettylights-syntax-markup-heading: #023b95;
+  --color-prettylights-syntax-markup-italic: #0e1116;
+  --color-prettylights-syntax-markup-bold: #0e1116;
+  --color-prettylights-syntax-markup-deleted-text: #6e011a;
+  --color-prettylights-syntax-markup-deleted-bg: #fff0ee;
+  --color-prettylights-syntax-markup-inserted-text: #024c1a;
+  --color-prettylights-syntax-markup-inserted-bg: #d2fedb;
+  --color-prettylights-syntax-markup-changed-text: #702c00;
+  --color-prettylights-syntax-markup-changed-bg: #ffc67b;
+  --color-prettylights-syntax-markup-ignored-text: #e7ecf0;
+  --color-prettylights-syntax-markup-ignored-bg: #023b95;
+  --color-prettylights-syntax-meta-diff-range: #622cbc;
+  --color-prettylights-syntax-brackethighlighter-angle: #4b535d;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #88929d;
+  --color-prettylights-syntax-constant-other-reference-link: #032563;
+  --color-fg-default: #0e1116;
+  --color-fg-muted: #0e1116;
+  --color-fg-subtle: #66707b;
+  --color-canvas-default: #ffffff;
+  --color-canvas-subtle: #e7ecf0;
+  --color-border-default: #20252c;
+  --color-border-muted: #88929d;
+  --color-neutral-muted: rgba(172,182,192,0.2);
+  --color-accent-fg: #0349b4;
+  --color-accent-emphasis: #0349b4;
+  --color-attention-subtle: #fcf7be;
+  --color-danger-fg: #d1242f;
+}
+}
+
+[data-color-mode=light][data-light-theme=dark],
+[data-color-mode=dark][data-dark-theme=dark],
+.vscode-body.vscode-light [data-color-mode=auto][data-light-theme=dark],
+.vscode-body.vscode-dark [data-color-mode=auto][data-dark-theme=dark] {
+  /*dark*/
+  color-scheme: dark;
+  --color-prettylights-syntax-comment: #8b949e;
+  --color-prettylights-syntax-constant: #79c0ff;
+  --color-prettylights-syntax-entity: #d2a8ff;
+  --color-prettylights-syntax-storage-modifier-import: #c9d1d9;
+  --color-prettylights-syntax-entity-tag: #7ee787;
+  --color-prettylights-syntax-keyword: #ff7b72;
+  --color-prettylights-syntax-string: #a5d6ff;
+  --color-prettylights-syntax-variable: #ffa657;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #f85149;
+  --color-prettylights-syntax-invalid-illegal-text: #f0f6fc;
+  --color-prettylights-syntax-invalid-illegal-bg: #8e1519;
+  --color-prettylights-syntax-carriage-return-text: #f0f6fc;
+  --color-prettylights-syntax-carriage-return-bg: #b62324;
+  --color-prettylights-syntax-string-regexp: #7ee787;
+  --color-prettylights-syntax-markup-list: #f2cc60;
+  --color-prettylights-syntax-markup-heading: #1f6feb;
+  --color-prettylights-syntax-markup-italic: #c9d1d9;
+  --color-prettylights-syntax-markup-bold: #c9d1d9;
+  --color-prettylights-syntax-markup-deleted-text: #ffdcd7;
+  --color-prettylights-syntax-markup-deleted-bg: #67060c;
+  --color-prettylights-syntax-markup-inserted-text: #aff5b4;
+  --color-prettylights-syntax-markup-inserted-bg: #033a16;
+  --color-prettylights-syntax-markup-changed-text: #ffdfb6;
+  --color-prettylights-syntax-markup-changed-bg: #5a1e02;
+  --color-prettylights-syntax-markup-ignored-text: #c9d1d9;
+  --color-prettylights-syntax-markup-ignored-bg: #1158c7;
+  --color-prettylights-syntax-meta-diff-range: #d2a8ff;
+  --color-prettylights-syntax-brackethighlighter-angle: #8b949e;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #484f58;
+  --color-prettylights-syntax-constant-other-reference-link: #a5d6ff;
+  --color-fg-default: #e6edf3;
+  --color-fg-muted: #7d8590;
+  --color-fg-subtle: #6e7681;
+  --color-canvas-default: #0d1117;
+  --color-canvas-subtle: #161b22;
+  --color-border-default: #30363d;
+  --color-border-muted: #21262d;
+  --color-neutral-muted: rgba(110,118,129,0.4);
+  --color-accent-fg: #2f81f7;
+  --color-accent-emphasis: #1f6feb;
+  --color-attention-subtle: rgba(187,128,9,0.15);
+  --color-danger-fg: #f85149;
+}
+@media (prefers-color-scheme: light) {
+  [data-color-mode='system'][data-light-theme=dark] {
+  /*dark*/
+  color-scheme: dark;
+  --color-prettylights-syntax-comment: #8b949e;
+  --color-prettylights-syntax-constant: #79c0ff;
+  --color-prettylights-syntax-entity: #d2a8ff;
+  --color-prettylights-syntax-storage-modifier-import: #c9d1d9;
+  --color-prettylights-syntax-entity-tag: #7ee787;
+  --color-prettylights-syntax-keyword: #ff7b72;
+  --color-prettylights-syntax-string: #a5d6ff;
+  --color-prettylights-syntax-variable: #ffa657;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #f85149;
+  --color-prettylights-syntax-invalid-illegal-text: #f0f6fc;
+  --color-prettylights-syntax-invalid-illegal-bg: #8e1519;
+  --color-prettylights-syntax-carriage-return-text: #f0f6fc;
+  --color-prettylights-syntax-carriage-return-bg: #b62324;
+  --color-prettylights-syntax-string-regexp: #7ee787;
+  --color-prettylights-syntax-markup-list: #f2cc60;
+  --color-prettylights-syntax-markup-heading: #1f6feb;
+  --color-prettylights-syntax-markup-italic: #c9d1d9;
+  --color-prettylights-syntax-markup-bold: #c9d1d9;
+  --color-prettylights-syntax-markup-deleted-text: #ffdcd7;
+  --color-prettylights-syntax-markup-deleted-bg: #67060c;
+  --color-prettylights-syntax-markup-inserted-text: #aff5b4;
+  --color-prettylights-syntax-markup-inserted-bg: #033a16;
+  --color-prettylights-syntax-markup-changed-text: #ffdfb6;
+  --color-prettylights-syntax-markup-changed-bg: #5a1e02;
+  --color-prettylights-syntax-markup-ignored-text: #c9d1d9;
+  --color-prettylights-syntax-markup-ignored-bg: #1158c7;
+  --color-prettylights-syntax-meta-diff-range: #d2a8ff;
+  --color-prettylights-syntax-brackethighlighter-angle: #8b949e;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #484f58;
+  --color-prettylights-syntax-constant-other-reference-link: #a5d6ff;
+  --color-fg-default: #e6edf3;
+  --color-fg-muted: #7d8590;
+  --color-fg-subtle: #6e7681;
+  --color-canvas-default: #0d1117;
+  --color-canvas-subtle: #161b22;
+  --color-border-default: #30363d;
+  --color-border-muted: #21262d;
+  --color-neutral-muted: rgba(110,118,129,0.4);
+  --color-accent-fg: #2f81f7;
+  --color-accent-emphasis: #1f6feb;
+  --color-attention-subtle: rgba(187,128,9,0.15);
+  --color-danger-fg: #f85149;
+}
+}
+
+@media (prefers-color-scheme: dark) {
+  [data-color-mode='system'][data-dark-theme=dark] {
+  /*dark*/
+  color-scheme: dark;
+  --color-prettylights-syntax-comment: #8b949e;
+  --color-prettylights-syntax-constant: #79c0ff;
+  --color-prettylights-syntax-entity: #d2a8ff;
+  --color-prettylights-syntax-storage-modifier-import: #c9d1d9;
+  --color-prettylights-syntax-entity-tag: #7ee787;
+  --color-prettylights-syntax-keyword: #ff7b72;
+  --color-prettylights-syntax-string: #a5d6ff;
+  --color-prettylights-syntax-variable: #ffa657;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #f85149;
+  --color-prettylights-syntax-invalid-illegal-text: #f0f6fc;
+  --color-prettylights-syntax-invalid-illegal-bg: #8e1519;
+  --color-prettylights-syntax-carriage-return-text: #f0f6fc;
+  --color-prettylights-syntax-carriage-return-bg: #b62324;
+  --color-prettylights-syntax-string-regexp: #7ee787;
+  --color-prettylights-syntax-markup-list: #f2cc60;
+  --color-prettylights-syntax-markup-heading: #1f6feb;
+  --color-prettylights-syntax-markup-italic: #c9d1d9;
+  --color-prettylights-syntax-markup-bold: #c9d1d9;
+  --color-prettylights-syntax-markup-deleted-text: #ffdcd7;
+  --color-prettylights-syntax-markup-deleted-bg: #67060c;
+  --color-prettylights-syntax-markup-inserted-text: #aff5b4;
+  --color-prettylights-syntax-markup-inserted-bg: #033a16;
+  --color-prettylights-syntax-markup-changed-text: #ffdfb6;
+  --color-prettylights-syntax-markup-changed-bg: #5a1e02;
+  --color-prettylights-syntax-markup-ignored-text: #c9d1d9;
+  --color-prettylights-syntax-markup-ignored-bg: #1158c7;
+  --color-prettylights-syntax-meta-diff-range: #d2a8ff;
+  --color-prettylights-syntax-brackethighlighter-angle: #8b949e;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #484f58;
+  --color-prettylights-syntax-constant-other-reference-link: #a5d6ff;
+  --color-fg-default: #e6edf3;
+  --color-fg-muted: #7d8590;
+  --color-fg-subtle: #6e7681;
+  --color-canvas-default: #0d1117;
+  --color-canvas-subtle: #161b22;
+  --color-border-default: #30363d;
+  --color-border-muted: #21262d;
+  --color-neutral-muted: rgba(110,118,129,0.4);
+  --color-accent-fg: #2f81f7;
+  --color-accent-emphasis: #1f6feb;
+  --color-attention-subtle: rgba(187,128,9,0.15);
+  --color-danger-fg: #f85149;
+}
+}
+
+[data-color-mode=light][data-light-theme=dark_dimmed],
+[data-color-mode=dark][data-dark-theme=dark_dimmed],
+.vscode-body.vscode-light [data-color-mode=auto][data-light-theme=dark_dimmed],
+.vscode-body.vscode-dark [data-color-mode=auto][data-dark-theme=dark_dimmed] {
+  /*dark_dimmed*/
+  color-scheme: dark;
+  --color-prettylights-syntax-comment: #768390;
+  --color-prettylights-syntax-constant: #6cb6ff;
+  --color-prettylights-syntax-entity: #dcbdfb;
+  --color-prettylights-syntax-storage-modifier-import: #adbac7;
+  --color-prettylights-syntax-entity-tag: #8ddb8c;
+  --color-prettylights-syntax-keyword: #f47067;
+  --color-prettylights-syntax-string: #96d0ff;
+  --color-prettylights-syntax-variable: #f69d50;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #e5534b;
+  --color-prettylights-syntax-invalid-illegal-text: #cdd9e5;
+  --color-prettylights-syntax-invalid-illegal-bg: #922323;
+  --color-prettylights-syntax-carriage-return-text: #cdd9e5;
+  --color-prettylights-syntax-carriage-return-bg: #ad2e2c;
+  --color-prettylights-syntax-string-regexp: #8ddb8c;
+  --color-prettylights-syntax-markup-list: #eac55f;
+  --color-prettylights-syntax-markup-heading: #316dca;
+  --color-prettylights-syntax-markup-italic: #adbac7;
+  --color-prettylights-syntax-markup-bold: #adbac7;
+  --color-prettylights-syntax-markup-deleted-text: #ffd8d3;
+  --color-prettylights-syntax-markup-deleted-bg: #78191b;
+  --color-prettylights-syntax-markup-inserted-text: #b4f1b4;
+  --color-prettylights-syntax-markup-inserted-bg: #1b4721;
+  --color-prettylights-syntax-markup-changed-text: #ffddb0;
+  --color-prettylights-syntax-markup-changed-bg: #682d0f;
+  --color-prettylights-syntax-markup-ignored-text: #adbac7;
+  --color-prettylights-syntax-markup-ignored-bg: #255ab2;
+  --color-prettylights-syntax-meta-diff-range: #dcbdfb;
+  --color-prettylights-syntax-brackethighlighter-angle: #768390;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #545d68;
+  --color-prettylights-syntax-constant-other-reference-link: #96d0ff;
+  --color-fg-default: #adbac7;
+  --color-fg-muted: #768390;
+  --color-fg-subtle: #636e7b;
+  --color-canvas-default: #22272e;
+  --color-canvas-subtle: #2d333b;
+  --color-border-default: #444c56;
+  --color-border-muted: #373e47;
+  --color-neutral-muted: rgba(99,110,123,0.4);
+  --color-accent-fg: #539bf5;
+  --color-accent-emphasis: #316dca;
+  --color-attention-subtle: rgba(174,124,20,0.15);
+  --color-danger-fg: #e5534b;
+}
+@media (prefers-color-scheme: light) {
+  [data-color-mode='system'][data-light-theme=dark_dimmed] {
+  /*dark_dimmed*/
+  color-scheme: dark;
+  --color-prettylights-syntax-comment: #768390;
+  --color-prettylights-syntax-constant: #6cb6ff;
+  --color-prettylights-syntax-entity: #dcbdfb;
+  --color-prettylights-syntax-storage-modifier-import: #adbac7;
+  --color-prettylights-syntax-entity-tag: #8ddb8c;
+  --color-prettylights-syntax-keyword: #f47067;
+  --color-prettylights-syntax-string: #96d0ff;
+  --color-prettylights-syntax-variable: #f69d50;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #e5534b;
+  --color-prettylights-syntax-invalid-illegal-text: #cdd9e5;
+  --color-prettylights-syntax-invalid-illegal-bg: #922323;
+  --color-prettylights-syntax-carriage-return-text: #cdd9e5;
+  --color-prettylights-syntax-carriage-return-bg: #ad2e2c;
+  --color-prettylights-syntax-string-regexp: #8ddb8c;
+  --color-prettylights-syntax-markup-list: #eac55f;
+  --color-prettylights-syntax-markup-heading: #316dca;
+  --color-prettylights-syntax-markup-italic: #adbac7;
+  --color-prettylights-syntax-markup-bold: #adbac7;
+  --color-prettylights-syntax-markup-deleted-text: #ffd8d3;
+  --color-prettylights-syntax-markup-deleted-bg: #78191b;
+  --color-prettylights-syntax-markup-inserted-text: #b4f1b4;
+  --color-prettylights-syntax-markup-inserted-bg: #1b4721;
+  --color-prettylights-syntax-markup-changed-text: #ffddb0;
+  --color-prettylights-syntax-markup-changed-bg: #682d0f;
+  --color-prettylights-syntax-markup-ignored-text: #adbac7;
+  --color-prettylights-syntax-markup-ignored-bg: #255ab2;
+  --color-prettylights-syntax-meta-diff-range: #dcbdfb;
+  --color-prettylights-syntax-brackethighlighter-angle: #768390;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #545d68;
+  --color-prettylights-syntax-constant-other-reference-link: #96d0ff;
+  --color-fg-default: #adbac7;
+  --color-fg-muted: #768390;
+  --color-fg-subtle: #636e7b;
+  --color-canvas-default: #22272e;
+  --color-canvas-subtle: #2d333b;
+  --color-border-default: #444c56;
+  --color-border-muted: #373e47;
+  --color-neutral-muted: rgba(99,110,123,0.4);
+  --color-accent-fg: #539bf5;
+  --color-accent-emphasis: #316dca;
+  --color-attention-subtle: rgba(174,124,20,0.15);
+  --color-danger-fg: #e5534b;
+}
+}
+
+@media (prefers-color-scheme: dark) {
+  [data-color-mode='system'][data-dark-theme=dark_dimmed] {
+  /*dark_dimmed*/
+  color-scheme: dark;
+  --color-prettylights-syntax-comment: #768390;
+  --color-prettylights-syntax-constant: #6cb6ff;
+  --color-prettylights-syntax-entity: #dcbdfb;
+  --color-prettylights-syntax-storage-modifier-import: #adbac7;
+  --color-prettylights-syntax-entity-tag: #8ddb8c;
+  --color-prettylights-syntax-keyword: #f47067;
+  --color-prettylights-syntax-string: #96d0ff;
+  --color-prettylights-syntax-variable: #f69d50;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #e5534b;
+  --color-prettylights-syntax-invalid-illegal-text: #cdd9e5;
+  --color-prettylights-syntax-invalid-illegal-bg: #922323;
+  --color-prettylights-syntax-carriage-return-text: #cdd9e5;
+  --color-prettylights-syntax-carriage-return-bg: #ad2e2c;
+  --color-prettylights-syntax-string-regexp: #8ddb8c;
+  --color-prettylights-syntax-markup-list: #eac55f;
+  --color-prettylights-syntax-markup-heading: #316dca;
+  --color-prettylights-syntax-markup-italic: #adbac7;
+  --color-prettylights-syntax-markup-bold: #adbac7;
+  --color-prettylights-syntax-markup-deleted-text: #ffd8d3;
+  --color-prettylights-syntax-markup-deleted-bg: #78191b;
+  --color-prettylights-syntax-markup-inserted-text: #b4f1b4;
+  --color-prettylights-syntax-markup-inserted-bg: #1b4721;
+  --color-prettylights-syntax-markup-changed-text: #ffddb0;
+  --color-prettylights-syntax-markup-changed-bg: #682d0f;
+  --color-prettylights-syntax-markup-ignored-text: #adbac7;
+  --color-prettylights-syntax-markup-ignored-bg: #255ab2;
+  --color-prettylights-syntax-meta-diff-range: #dcbdfb;
+  --color-prettylights-syntax-brackethighlighter-angle: #768390;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #545d68;
+  --color-prettylights-syntax-constant-other-reference-link: #96d0ff;
+  --color-fg-default: #adbac7;
+  --color-fg-muted: #768390;
+  --color-fg-subtle: #636e7b;
+  --color-canvas-default: #22272e;
+  --color-canvas-subtle: #2d333b;
+  --color-border-default: #444c56;
+  --color-border-muted: #373e47;
+  --color-neutral-muted: rgba(99,110,123,0.4);
+  --color-accent-fg: #539bf5;
+  --color-accent-emphasis: #316dca;
+  --color-attention-subtle: rgba(174,124,20,0.15);
+  --color-danger-fg: #e5534b;
+}
+}
+
+[data-color-mode=light][data-light-theme=dark_colorblind],
+[data-color-mode=dark][data-dark-theme=dark_colorblind],
+.vscode-body.vscode-light [data-color-mode=auto][data-light-theme=dark_colorblind],
+.vscode-body.vscode-dark [data-color-mode=auto][data-dark-theme=dark_colorblind] {
+  /*dark_colorblind*/
+  color-scheme: dark;
+  --color-prettylights-syntax-comment: #8b949e;
+  --color-prettylights-syntax-constant: #79c0ff;
+  --color-prettylights-syntax-entity: #d2a8ff;
+  --color-prettylights-syntax-storage-modifier-import: #c9d1d9;
+  --color-prettylights-syntax-entity-tag: #a5d6ff;
+  --color-prettylights-syntax-keyword: #ec8e2c;
+  --color-prettylights-syntax-string: #a5d6ff;
+  --color-prettylights-syntax-variable: #fdac54;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #d47616;
+  --color-prettylights-syntax-invalid-illegal-text: #f0f6fc;
+  --color-prettylights-syntax-invalid-illegal-bg: #6c3906;
+  --color-prettylights-syntax-carriage-return-text: #f0f6fc;
+  --color-prettylights-syntax-carriage-return-bg: #914d04;
+  --color-prettylights-syntax-string-regexp: #a5d6ff;
+  --color-prettylights-syntax-markup-list: #f2cc60;
+  --color-prettylights-syntax-markup-heading: #1f6feb;
+  --color-prettylights-syntax-markup-italic: #c9d1d9;
+  --color-prettylights-syntax-markup-bold: #c9d1d9;
+  --color-prettylights-syntax-markup-deleted-text: #ffe2bb;
+  --color-prettylights-syntax-markup-deleted-bg: #4e2906;
+  --color-prettylights-syntax-markup-inserted-text: #cae8ff;
+  --color-prettylights-syntax-markup-inserted-bg: #0c2d6b;
+  --color-prettylights-syntax-markup-changed-text: #ffe2bb;
+  --color-prettylights-syntax-markup-changed-bg: #4e2906;
+  --color-prettylights-syntax-markup-ignored-text: #c9d1d9;
+  --color-prettylights-syntax-markup-ignored-bg: #1158c7;
+  --color-prettylights-syntax-meta-diff-range: #d2a8ff;
+  --color-prettylights-syntax-brackethighlighter-angle: #8b949e;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #484f58;
+  --color-prettylights-syntax-constant-other-reference-link: #a5d6ff;
+  --color-fg-default: #c9d1d9;
+  --color-fg-muted: #8b949e;
+  --color-fg-subtle: #6e7681;
+  --color-canvas-default: #0d1117;
+  --color-canvas-subtle: #161b22;
+  --color-border-default: #30363d;
+  --color-border-muted: #21262d;
+  --color-neutral-muted: rgba(110,118,129,0.4);
+  --color-accent-fg: #58a6ff;
+  --color-accent-emphasis: #1f6feb;
+  --color-attention-subtle: rgba(187,128,9,0.15);
+  --color-danger-fg: #d47616;
+}
+@media (prefers-color-scheme: light) {
+  [data-color-mode='system'][data-light-theme=dark_colorblind] {
+  /*dark_colorblind*/
+  color-scheme: dark;
+  --color-prettylights-syntax-comment: #8b949e;
+  --color-prettylights-syntax-constant: #79c0ff;
+  --color-prettylights-syntax-entity: #d2a8ff;
+  --color-prettylights-syntax-storage-modifier-import: #c9d1d9;
+  --color-prettylights-syntax-entity-tag: #a5d6ff;
+  --color-prettylights-syntax-keyword: #ec8e2c;
+  --color-prettylights-syntax-string: #a5d6ff;
+  --color-prettylights-syntax-variable: #fdac54;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #d47616;
+  --color-prettylights-syntax-invalid-illegal-text: #f0f6fc;
+  --color-prettylights-syntax-invalid-illegal-bg: #6c3906;
+  --color-prettylights-syntax-carriage-return-text: #f0f6fc;
+  --color-prettylights-syntax-carriage-return-bg: #914d04;
+  --color-prettylights-syntax-string-regexp: #a5d6ff;
+  --color-prettylights-syntax-markup-list: #f2cc60;
+  --color-prettylights-syntax-markup-heading: #1f6feb;
+  --color-prettylights-syntax-markup-italic: #c9d1d9;
+  --color-prettylights-syntax-markup-bold: #c9d1d9;
+  --color-prettylights-syntax-markup-deleted-text: #ffe2bb;
+  --color-prettylights-syntax-markup-deleted-bg: #4e2906;
+  --color-prettylights-syntax-markup-inserted-text: #cae8ff;
+  --color-prettylights-syntax-markup-inserted-bg: #0c2d6b;
+  --color-prettylights-syntax-markup-changed-text: #ffe2bb;
+  --color-prettylights-syntax-markup-changed-bg: #4e2906;
+  --color-prettylights-syntax-markup-ignored-text: #c9d1d9;
+  --color-prettylights-syntax-markup-ignored-bg: #1158c7;
+  --color-prettylights-syntax-meta-diff-range: #d2a8ff;
+  --color-prettylights-syntax-brackethighlighter-angle: #8b949e;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #484f58;
+  --color-prettylights-syntax-constant-other-reference-link: #a5d6ff;
+  --color-fg-default: #c9d1d9;
+  --color-fg-muted: #8b949e;
+  --color-fg-subtle: #6e7681;
+  --color-canvas-default: #0d1117;
+  --color-canvas-subtle: #161b22;
+  --color-border-default: #30363d;
+  --color-border-muted: #21262d;
+  --color-neutral-muted: rgba(110,118,129,0.4);
+  --color-accent-fg: #58a6ff;
+  --color-accent-emphasis: #1f6feb;
+  --color-attention-subtle: rgba(187,128,9,0.15);
+  --color-danger-fg: #d47616;
+}
+}
+
+@media (prefers-color-scheme: dark) {
+  [data-color-mode='system'][data-dark-theme=dark_colorblind] {
+  /*dark_colorblind*/
+  color-scheme: dark;
+  --color-prettylights-syntax-comment: #8b949e;
+  --color-prettylights-syntax-constant: #79c0ff;
+  --color-prettylights-syntax-entity: #d2a8ff;
+  --color-prettylights-syntax-storage-modifier-import: #c9d1d9;
+  --color-prettylights-syntax-entity-tag: #a5d6ff;
+  --color-prettylights-syntax-keyword: #ec8e2c;
+  --color-prettylights-syntax-string: #a5d6ff;
+  --color-prettylights-syntax-variable: #fdac54;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #d47616;
+  --color-prettylights-syntax-invalid-illegal-text: #f0f6fc;
+  --color-prettylights-syntax-invalid-illegal-bg: #6c3906;
+  --color-prettylights-syntax-carriage-return-text: #f0f6fc;
+  --color-prettylights-syntax-carriage-return-bg: #914d04;
+  --color-prettylights-syntax-string-regexp: #a5d6ff;
+  --color-prettylights-syntax-markup-list: #f2cc60;
+  --color-prettylights-syntax-markup-heading: #1f6feb;
+  --color-prettylights-syntax-markup-italic: #c9d1d9;
+  --color-prettylights-syntax-markup-bold: #c9d1d9;
+  --color-prettylights-syntax-markup-deleted-text: #ffe2bb;
+  --color-prettylights-syntax-markup-deleted-bg: #4e2906;
+  --color-prettylights-syntax-markup-inserted-text: #cae8ff;
+  --color-prettylights-syntax-markup-inserted-bg: #0c2d6b;
+  --color-prettylights-syntax-markup-changed-text: #ffe2bb;
+  --color-prettylights-syntax-markup-changed-bg: #4e2906;
+  --color-prettylights-syntax-markup-ignored-text: #c9d1d9;
+  --color-prettylights-syntax-markup-ignored-bg: #1158c7;
+  --color-prettylights-syntax-meta-diff-range: #d2a8ff;
+  --color-prettylights-syntax-brackethighlighter-angle: #8b949e;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #484f58;
+  --color-prettylights-syntax-constant-other-reference-link: #a5d6ff;
+  --color-fg-default: #c9d1d9;
+  --color-fg-muted: #8b949e;
+  --color-fg-subtle: #6e7681;
+  --color-canvas-default: #0d1117;
+  --color-canvas-subtle: #161b22;
+  --color-border-default: #30363d;
+  --color-border-muted: #21262d;
+  --color-neutral-muted: rgba(110,118,129,0.4);
+  --color-accent-fg: #58a6ff;
+  --color-accent-emphasis: #1f6feb;
+  --color-attention-subtle: rgba(187,128,9,0.15);
+  --color-danger-fg: #d47616;
+}
+}
+
+[data-color-mode=light][data-light-theme=dark_tritanopia],
+[data-color-mode=dark][data-dark-theme=dark_tritanopia],
+.vscode-body.vscode-light [data-color-mode=auto][data-light-theme=dark_tritanopia],
+.vscode-body.vscode-dark [data-color-mode=auto][data-dark-theme=dark_tritanopia] {
+  /*dark_tritanopia*/
+  color-scheme: dark;
+  --color-prettylights-syntax-comment: #8b949e;
+  --color-prettylights-syntax-constant: #79c0ff;
+  --color-prettylights-syntax-entity: #d2a8ff;
+  --color-prettylights-syntax-storage-modifier-import: #c9d1d9;
+  --color-prettylights-syntax-entity-tag: #a5d6ff;
+  --color-prettylights-syntax-keyword: #ff7b72;
+  --color-prettylights-syntax-string: #a5d6ff;
+  --color-prettylights-syntax-variable: #ffa198;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #f85149;
+  --color-prettylights-syntax-invalid-illegal-text: #f0f6fc;
+  --color-prettylights-syntax-invalid-illegal-bg: #8e1519;
+  --color-prettylights-syntax-carriage-return-text: #f0f6fc;
+  --color-prettylights-syntax-carriage-return-bg: #b62324;
+  --color-prettylights-syntax-string-regexp: #a5d6ff;
+  --color-prettylights-syntax-markup-list: #f2cc60;
+  --color-prettylights-syntax-markup-heading: #1f6feb;
+  --color-prettylights-syntax-markup-italic: #c9d1d9;
+  --color-prettylights-syntax-markup-bold: #c9d1d9;
+  --color-prettylights-syntax-markup-deleted-text: #ffdcd7;
+  --color-prettylights-syntax-markup-deleted-bg: #67060c;
+  --color-prettylights-syntax-markup-inserted-text: #cae8ff;
+  --color-prettylights-syntax-markup-inserted-bg: #0c2d6b;
+  --color-prettylights-syntax-markup-changed-text: #ffdcd7;
+  --color-prettylights-syntax-markup-changed-bg: #67060c;
+  --color-prettylights-syntax-markup-ignored-text: #c9d1d9;
+  --color-prettylights-syntax-markup-ignored-bg: #1158c7;
+  --color-prettylights-syntax-meta-diff-range: #d2a8ff;
+  --color-prettylights-syntax-brackethighlighter-angle: #8b949e;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #484f58;
+  --color-prettylights-syntax-constant-other-reference-link: #a5d6ff;
+  --color-fg-default: #c9d1d9;
+  --color-fg-muted: #8b949e;
+  --color-fg-subtle: #6e7681;
+  --color-canvas-default: #0d1117;
+  --color-canvas-subtle: #161b22;
+  --color-border-default: #30363d;
+  --color-border-muted: #21262d;
+  --color-neutral-muted: rgba(110,118,129,0.4);
+  --color-accent-fg: #58a6ff;
+  --color-accent-emphasis: #1f6feb;
+  --color-attention-subtle: rgba(187,128,9,0.15);
+  --color-danger-fg: #f85149;
+}
+@media (prefers-color-scheme: light) {
+  [data-color-mode='system'][data-light-theme=dark_tritanopia] {
+  /*dark_tritanopia*/
+  color-scheme: dark;
+  --color-prettylights-syntax-comment: #8b949e;
+  --color-prettylights-syntax-constant: #79c0ff;
+  --color-prettylights-syntax-entity: #d2a8ff;
+  --color-prettylights-syntax-storage-modifier-import: #c9d1d9;
+  --color-prettylights-syntax-entity-tag: #a5d6ff;
+  --color-prettylights-syntax-keyword: #ff7b72;
+  --color-prettylights-syntax-string: #a5d6ff;
+  --color-prettylights-syntax-variable: #ffa198;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #f85149;
+  --color-prettylights-syntax-invalid-illegal-text: #f0f6fc;
+  --color-prettylights-syntax-invalid-illegal-bg: #8e1519;
+  --color-prettylights-syntax-carriage-return-text: #f0f6fc;
+  --color-prettylights-syntax-carriage-return-bg: #b62324;
+  --color-prettylights-syntax-string-regexp: #a5d6ff;
+  --color-prettylights-syntax-markup-list: #f2cc60;
+  --color-prettylights-syntax-markup-heading: #1f6feb;
+  --color-prettylights-syntax-markup-italic: #c9d1d9;
+  --color-prettylights-syntax-markup-bold: #c9d1d9;
+  --color-prettylights-syntax-markup-deleted-text: #ffdcd7;
+  --color-prettylights-syntax-markup-deleted-bg: #67060c;
+  --color-prettylights-syntax-markup-inserted-text: #cae8ff;
+  --color-prettylights-syntax-markup-inserted-bg: #0c2d6b;
+  --color-prettylights-syntax-markup-changed-text: #ffdcd7;
+  --color-prettylights-syntax-markup-changed-bg: #67060c;
+  --color-prettylights-syntax-markup-ignored-text: #c9d1d9;
+  --color-prettylights-syntax-markup-ignored-bg: #1158c7;
+  --color-prettylights-syntax-meta-diff-range: #d2a8ff;
+  --color-prettylights-syntax-brackethighlighter-angle: #8b949e;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #484f58;
+  --color-prettylights-syntax-constant-other-reference-link: #a5d6ff;
+  --color-fg-default: #c9d1d9;
+  --color-fg-muted: #8b949e;
+  --color-fg-subtle: #6e7681;
+  --color-canvas-default: #0d1117;
+  --color-canvas-subtle: #161b22;
+  --color-border-default: #30363d;
+  --color-border-muted: #21262d;
+  --color-neutral-muted: rgba(110,118,129,0.4);
+  --color-accent-fg: #58a6ff;
+  --color-accent-emphasis: #1f6feb;
+  --color-attention-subtle: rgba(187,128,9,0.15);
+  --color-danger-fg: #f85149;
+}
+}
+
+@media (prefers-color-scheme: dark) {
+  [data-color-mode='system'][data-dark-theme=dark_tritanopia] {
+  /*dark_tritanopia*/
+  color-scheme: dark;
+  --color-prettylights-syntax-comment: #8b949e;
+  --color-prettylights-syntax-constant: #79c0ff;
+  --color-prettylights-syntax-entity: #d2a8ff;
+  --color-prettylights-syntax-storage-modifier-import: #c9d1d9;
+  --color-prettylights-syntax-entity-tag: #a5d6ff;
+  --color-prettylights-syntax-keyword: #ff7b72;
+  --color-prettylights-syntax-string: #a5d6ff;
+  --color-prettylights-syntax-variable: #ffa198;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #f85149;
+  --color-prettylights-syntax-invalid-illegal-text: #f0f6fc;
+  --color-prettylights-syntax-invalid-illegal-bg: #8e1519;
+  --color-prettylights-syntax-carriage-return-text: #f0f6fc;
+  --color-prettylights-syntax-carriage-return-bg: #b62324;
+  --color-prettylights-syntax-string-regexp: #a5d6ff;
+  --color-prettylights-syntax-markup-list: #f2cc60;
+  --color-prettylights-syntax-markup-heading: #1f6feb;
+  --color-prettylights-syntax-markup-italic: #c9d1d9;
+  --color-prettylights-syntax-markup-bold: #c9d1d9;
+  --color-prettylights-syntax-markup-deleted-text: #ffdcd7;
+  --color-prettylights-syntax-markup-deleted-bg: #67060c;
+  --color-prettylights-syntax-markup-inserted-text: #cae8ff;
+  --color-prettylights-syntax-markup-inserted-bg: #0c2d6b;
+  --color-prettylights-syntax-markup-changed-text: #ffdcd7;
+  --color-prettylights-syntax-markup-changed-bg: #67060c;
+  --color-prettylights-syntax-markup-ignored-text: #c9d1d9;
+  --color-prettylights-syntax-markup-ignored-bg: #1158c7;
+  --color-prettylights-syntax-meta-diff-range: #d2a8ff;
+  --color-prettylights-syntax-brackethighlighter-angle: #8b949e;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #484f58;
+  --color-prettylights-syntax-constant-other-reference-link: #a5d6ff;
+  --color-fg-default: #c9d1d9;
+  --color-fg-muted: #8b949e;
+  --color-fg-subtle: #6e7681;
+  --color-canvas-default: #0d1117;
+  --color-canvas-subtle: #161b22;
+  --color-border-default: #30363d;
+  --color-border-muted: #21262d;
+  --color-neutral-muted: rgba(110,118,129,0.4);
+  --color-accent-fg: #58a6ff;
+  --color-accent-emphasis: #1f6feb;
+  --color-attention-subtle: rgba(187,128,9,0.15);
+  --color-danger-fg: #f85149;
+}
+}
+
+[data-color-mode=light][data-light-theme=dark_high_contrast],
+[data-color-mode=dark][data-dark-theme=dark_high_contrast],
+.vscode-body.vscode-light [data-color-mode=auto][data-light-theme=dark_high_contrast],
+.vscode-body.vscode-dark [data-color-mode=auto][data-dark-theme=dark_high_contrast] {
+  /*dark_high_contrast*/
+  color-scheme: dark;
+  --color-prettylights-syntax-comment: #bdc4cc;
+  --color-prettylights-syntax-constant: #91cbff;
+  --color-prettylights-syntax-entity: #dbb7ff;
+  --color-prettylights-syntax-storage-modifier-import: #f0f3f6;
+  --color-prettylights-syntax-entity-tag: #72f088;
+  --color-prettylights-syntax-keyword: #ff9492;
+  --color-prettylights-syntax-string: #addcff;
+  --color-prettylights-syntax-variable: #ffb757;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #ff6a69;
+  --color-prettylights-syntax-invalid-illegal-text: #ffffff;
+  --color-prettylights-syntax-invalid-illegal-bg: #e82a2f;
+  --color-prettylights-syntax-carriage-return-text: #ffffff;
+  --color-prettylights-syntax-carriage-return-bg: #ff4445;
+  --color-prettylights-syntax-string-regexp: #72f088;
+  --color-prettylights-syntax-markup-list: #fbd669;
+  --color-prettylights-syntax-markup-heading: #409eff;
+  --color-prettylights-syntax-markup-italic: #f0f3f6;
+  --color-prettylights-syntax-markup-bold: #f0f3f6;
+  --color-prettylights-syntax-markup-deleted-text: #ffdedb;
+  --color-prettylights-syntax-markup-deleted-bg: #cc1421;
+  --color-prettylights-syntax-markup-inserted-text: #acf7b6;
+  --color-prettylights-syntax-markup-inserted-bg: #007728;
+  --color-prettylights-syntax-markup-changed-text: #ffe1b4;
+  --color-prettylights-syntax-markup-changed-bg: #a74c00;
+  --color-prettylights-syntax-markup-ignored-text: #f0f3f6;
+  --color-prettylights-syntax-markup-ignored-bg: #318bf8;
+  --color-prettylights-syntax-meta-diff-range: #dbb7ff;
+  --color-prettylights-syntax-brackethighlighter-angle: #bdc4cc;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #7a828e;
+  --color-prettylights-syntax-constant-other-reference-link: #addcff;
+  --color-fg-default: #f0f3f6;
+  --color-fg-muted: #f0f3f6;
+  --color-fg-subtle: #9ea7b3;
+  --color-canvas-default: #0a0c10;
+  --color-canvas-subtle: #272b33;
+  --color-border-default: #7a828e;
+  --color-border-muted: #7a828e;
+  --color-neutral-muted: rgba(158,167,179,0.4);
+  --color-accent-fg: #71b7ff;
+  --color-accent-emphasis: #409eff;
+  --color-attention-subtle: rgba(224,155,19,0.15);
+  --color-danger-fg: #ff6a69;
+}
+@media (prefers-color-scheme: light) {
+  [data-color-mode='system'][data-light-theme=dark_high_contrast] {
+  /*dark_high_contrast*/
+  color-scheme: dark;
+  --color-prettylights-syntax-comment: #bdc4cc;
+  --color-prettylights-syntax-constant: #91cbff;
+  --color-prettylights-syntax-entity: #dbb7ff;
+  --color-prettylights-syntax-storage-modifier-import: #f0f3f6;
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+  Updated: 2021-05-15
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+            <div class="github-markdown-content"><span id="markdown-mermaid" aria-hidden="true"
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+                    data-light-mode-theme="default"></span>
+                <p><img src="file:////Users/cbatters/git/amescap-master-planetary-science/AmesCAP/tutorial/tutorial_images/Tutorial_Banner_Final.png" alt=""></p>
+<hr>
+<h1 id="installing-the-community-analysis-pipeline-cap">Installing the Community Analysis Pipeline (CAP)</h1>
+<h3 id="welcome">Welcome!</h3>
+<p>This document contains the instructions for installing the NASA Ames MCMC's Community Analysis Pipeline (CAP). <strong>We ask that you come to the MGCM Tutorial on November 2-4 with CAP installed on your machine</strong> so that we can jump right into using it! On the second day of the tutorial (November 3rd), we will be using CAP to analyze MGCM output.</p>
+<p>Installing CAP is fairly straightforward. We will create a Python virtual environment, download CAP, and then install CAP in the virtual environment. That's it!</p>
+<p>A quick overview of what is covered in this installation document:</p>
+<ol>
+<li><a href="#1-creating-the-virtual-environment">Creating the Virtual Environment</a></li>
+<li><a href="#2-installing-cap">Installing CAP</a></li>
+<li><a href="#3-testing-using-cap">Testing &amp; Using CAP</a></li>
+<li><a href="#4-practical-tips-for-later-use-during-the-tutorial">Practical Tips</a></li>
+<li><a href="#5-do-this-before-attending-the-tutorial">Do This Before Attending the Tutorial</a></li>
+</ol>
+<hr>
+<h2 id="1-creating-the-virtual-environment">1. Creating the Virtual Environment</h2>
+<p>We begin by creating a virtual environment in which to install CAP. The virtual environment is an isolated Python environment cloned from an existing Python distribution. The virtual environment consists of the same directory trees as the original environment, but it includes activation and deactivation scripts that are used to move in and out of the virtual environment. Here's an illustration of how the two Python environments might differ:</p>
+<pre><code>     anaconda3                    virtual_env3/
+     ├── bin                      ├── bin
+     │   ├── pip       (copy)     │    ├── pip
+     │   └── python3    &gt;&gt;&gt;&gt;      │    ├── python3
+     └── lib                      │    ├── activate
+                                  │    ├── activate.csh
+                                  │    └── deactivate
+                                  └── lib             
+
+  ORIGINAL ENVIRONMENT           VIRTUAL ENVIRONMENT
+      (untouched)            (vanishes when deactivated)
+</code></pre>
+<p>We can install and upgrade packages in the virtual environment without breaking the main Python environment. In fact, it is safe to change or even completely delete the virtual environment without breaking the main distribution. This allows us to experiment freely in the virtual environment, making it the perfect location for installing and testing CAP.</p>
+<hr>
+<h3 id="step-1-identify-your-preferred-python-distribution">Step 1: Identify Your Preferred Python Distribution</h3>
+<p>If you are already comfortable with Python's package management system, you are welcome to install the pipeline on top any python<strong>3</strong> distribution already present on your computer. Jump to Step #2 and resolve any missing package dependency.</p>
+<p>For all other users, we highly recommend using the latest version of the Anaconda Python distribution. It ships with pre-compiled math and plotting packages such as <code>numpy</code> and <code>matplotlib</code> as well as pre-compiled libraries like <code>hdf5</code> headers for reading <code>netCDF</code> files (the preferred filetype for analysing MGCM output).</p>
+<p>You can install the Anaconda Python distribution via the command-line or using a <a href="https://www.anaconda.com/distribution/#download-section">graphical interface</a> (scroll to the very bottom of the page for all download options). You can install Anaconda at either the <code>System/</code> level or the <code>User/</code> level (the later does not require admin-priviledges). The instructions below are for the <strong>command-line installation</strong> and installs Anaconda in your <strong>home directory</strong>, which is the recommended location. Open a terminal and type the following:</p>
+<pre><code class="language-bash">(<span class="hljs-built_in">local</span>)&gt;$ <span class="hljs-built_in">chmod</span> +x Anaconda3-2021.05-MacOSX-x86_64.sh   <span class="hljs-comment"># make the .sh file executable (actual name may differ)</span>
+(<span class="hljs-built_in">local</span>)&gt;$ ./Anaconda3-2021.05MacOSX-x86_64.sh           <span class="hljs-comment"># runs the executable</span>
+</code></pre>
+<p>Which will return:</p>
+<pre><code class="language-bash">&gt; Welcome to Anaconda3 2021.05
+&gt;
+&gt; In order to <span class="hljs-built_in">continue</span> the installation process, please review the license agreement.
+&gt; Please, press ENTER to <span class="hljs-built_in">continue</span>
+&gt; &gt;&gt;&gt;
+</code></pre>
+<p>Read (<code>ENTER</code>) and accept (<code>yes</code>) the terms, choose your installation location, and initialize Anaconda3:</p>
+<pre><code class="language-bash">(<span class="hljs-built_in">local</span>)&gt;$ [ENTER]
+&gt; Do you accept the license terms? [<span class="hljs-built_in">yes</span>|no]
+&gt; &gt;&gt;&gt;
+(<span class="hljs-built_in">local</span>)&gt;$ <span class="hljs-built_in">yes</span>
+&gt; Anaconda3 will now be installed into this location:
+&gt; /Users/username/anaconda3
+&gt;
+&gt;  - Press ENTER to confirm the location
+&gt;  - Press CTRL-C to abort the installation
+&gt;  - Or specify a different location below
+&gt;
+&gt; [/Users/username/anaconda3] &gt;&gt;&gt;
+(<span class="hljs-built_in">local</span>)&gt;$ [ENTER]
+&gt; PREFIX=/Users/username/anaconda3
+&gt; Unpacking payload ...
+&gt; Collecting package metadata (current_repodata.json):
+&gt;   <span class="hljs-keyword">done</span>                                                       
+&gt; Solving environment: <span class="hljs-keyword">done</span>
+&gt;
+&gt; <span class="hljs-comment">## Package Plan ##</span>
+&gt; ...
+&gt; Preparing transaction: <span class="hljs-keyword">done</span>
+&gt; Executing transaction: -
+&gt; <span class="hljs-keyword">done</span>
+&gt; installation finished.
+&gt; Do you wish the installer to initialize Anaconda3 by running conda init? [<span class="hljs-built_in">yes</span>|no]
+&gt; [<span class="hljs-built_in">yes</span>] &gt;&gt;&gt;
+(<span class="hljs-built_in">local</span>)&gt;$ <span class="hljs-built_in">yes</span>
+</code></pre>
+<blockquote>
+<p>For Windows users, we recommend installing the pipeline in a Linux-type environment using <a href="https://www.cygwin.com/">Cygwin</a>. This will enable the use of CAP command line tools. Simply download the Windows version of Anaconda on the <a href="https://www.anaconda.com/distribution/#download-section">Anaconda website</a> and follow the instructions from the installation GUI. When asked about the installation location, make sure you install Python under your emulated-Linux home directory (<code>/home/username</code>) and <em><strong>not</strong></em> in the default location (<code>/cygdrive/c/Users/username/anaconda3</code>). From the installation GUI, the path you want to select is something like: <code>C:/Program Files/cygwin64/home/username/anaconda3</code>. Also be sure to check <strong>YES</strong> when prompted to &quot;Add Anaconda to my <code>PATH</code> environment variable.&quot;</p>
+</blockquote>
+<p>Confirm that your path to the Anaconda Python distribution is fully actualized by closing out of the current terminal, opening a new terminal, and typing:</p>
+<pre><code class="language-bash">(<span class="hljs-built_in">local</span>)&gt;$ python[TAB]
+</code></pre>
+<p>If this returns multiple options (e.g. <code>python</code>, <code>python2</code>, <code>python 3.7</code>, <code>python.exe</code>), then you have more than one version of Python sitting on your system (an old <code>python2</code> executable located in <code>/usr/local/bin/python</code>, for example). You can see what these versions are by typing:</p>
+<pre><code class="language-bash">(<span class="hljs-built_in">local</span>)&gt;$ python3 --version     <span class="hljs-comment"># Linux/MacOS</span>
+(<span class="hljs-built_in">local</span>)&gt;$ python.exe --version  <span class="hljs-comment"># Cygwin/Windows</span>
+</code></pre>
+<p>Check your version of <code>pip</code> the same way, then find and set your <code>$PATH</code> environment variable to point to the Anaconda Python <em>and</em> Anaconda  pip distributions. If you are planning to use Python for other projects, you can update these paths like so:</p>
+<pre><code class="language-bash"><span class="hljs-comment"># with bash:</span>
+(<span class="hljs-built_in">local</span>)&gt;$ <span class="hljs-built_in">echo</span> <span class="hljs-string">&#x27;export PATH=/Users/username/anaconda3/bin:$PATH&#x27;</span> &gt;&gt; ~/.bash_profile
+<span class="hljs-comment"># with csh/tsch:</span>
+(<span class="hljs-built_in">local</span>)&gt;$ <span class="hljs-built_in">echo</span> <span class="hljs-string">&#x27;setenv PATH $PATH\:/Users/username/anaconda3/bin\:$HOME/bin\:.&#x27;</span>  &gt;&gt; ~/.cshrc
+</code></pre>
+<p>Confirm these settings using the <code>which</code> command:</p>
+<pre><code class="language-bash">(<span class="hljs-built_in">local</span>)&gt;$ <span class="hljs-built_in">which</span> python3         <span class="hljs-comment"># Linux/MacOS</span>
+(<span class="hljs-built_in">local</span>)&gt;$ <span class="hljs-built_in">which</span> python.exe      <span class="hljs-comment"># Cygwin/Windows</span>
+</code></pre>
+<p>which hopefully returns a Python executable that looks like <strong>it was installed with Anaconda</strong>, such as:</p>
+<pre><code class="language-bash">&gt; /username/anaconda3/bin/python3     <span class="hljs-comment"># Linux/MacOS</span>
+&gt; /username/anaconda3/python.exe      <span class="hljs-comment"># Cygwin/Windows</span>
+</code></pre>
+<p>If <code>which</code> points to either of those locations, you are good to go and you can proceed from here using the shorthand path to your Anaconda Python distribution:</p>
+<pre><code class="language-bash">(<span class="hljs-built_in">local</span>)&gt;$ python3     <span class="hljs-comment"># Linux/MacOS</span>
+(<span class="hljs-built_in">local</span>)&gt;$ python.exe  <span class="hljs-comment"># Cygwin/Windows</span>
+</code></pre>
+<p>If, however, <code>which</code> points to some other location, such as <code>/usr/local/bin/python</code>, or more than one location, proceed from here using the <strong>full</strong> path to the Anaconda Python distribution:</p>
+<pre><code class="language-bash">(<span class="hljs-built_in">local</span>)&gt;$ /username/anaconda3/bin/python3 <span class="hljs-comment"># Linux/MacOS</span>
+(<span class="hljs-built_in">local</span>)&gt;$ /username/anaconda3/python.exe  <span class="hljs-comment"># Cygwin/Windows</span>
+</code></pre>
+<hr>
+<h3 id="step-2-set-up-the-virtual-environment">Step 2: Set Up the Virtual Environment:</h3>
+<p>Python virtual environments are created from the command line. Create an environment called <code>amesCAP</code> by typing:</p>
+<pre><code class="language-bash">(<span class="hljs-built_in">local</span>)&gt;$ python3 -m venv --system-site-packages amesCAP    <span class="hljs-comment"># Linux/MacOS Use FULL PATH to python if needed</span>
+(<span class="hljs-built_in">local</span>)&gt;$ python.exe -m venv –-system-site-packages amesCAP  <span class="hljs-comment"># Cygwin/Windows Use FULL PATH to python if needed</span>
+</code></pre>
+<p>First, find out if your terminal is using <em>bash</em> or a variation of <em>C-shell</em> (<em>.csh</em>, <em>.tsch</em>...) by typing:</p>
+<pre><code class="language-bash">(<span class="hljs-built_in">local</span>)&gt;$ <span class="hljs-built_in">echo</span> <span class="hljs-variable">$0</span>
+&gt; -bash
+</code></pre>
+<p>Depending on the answer, you can now activate the virtual environment with one of the options below:</p>
+<pre><code class="language-bash">(<span class="hljs-built_in">local</span>)&gt;$ <span class="hljs-built_in">source</span> amesCAP/bin/activate          <span class="hljs-comment"># bash</span>
+(<span class="hljs-built_in">local</span>)&gt;$ <span class="hljs-built_in">source</span> amesCAP/bin/activate.csh      <span class="hljs-comment"># csh/tcsh</span>
+(<span class="hljs-built_in">local</span>)&gt;$ <span class="hljs-built_in">source</span> amesCAP/Scripts/activate.csh  <span class="hljs-comment"># Cygwin/Windows</span>
+(<span class="hljs-built_in">local</span>)&gt;$ conda amesCAP/bin/activate           <span class="hljs-comment"># if you used conda</span>
+</code></pre>
+<blockquote>
+<p>In Cygwin/Windows, the <code>/bin</code> directory may be named <code>/Scripts</code>.</p>
+</blockquote>
+<p>You will notice that after sourcing <code>amesCAP</code>, your prompt changed indicate that you are now <em>inside</em> the virtual environment (i.e. <code>(local)&gt;$ </code> changed to <code>(amesCAP)&gt;$</code>).</p>
+<p>We can verify that <code>which python</code> and <code>which pip</code> unambiguously point to <code>amesCAP/bin/python3</code> and <code>amesCAP/bin/pip</code>, respectively, by calling <code>which</code> within the virtual environment:</p>
+<pre><code class="language-bash">(amesCAP)&gt;$ <span class="hljs-built_in">which</span> python3         <span class="hljs-comment"># in bash, csh</span>
+&gt; amesCAP/bin/python3
+(amesCAP)&gt;$ <span class="hljs-built_in">which</span> pip
+&gt; amesCAP/bin/pip
+
+(amesCAP)&gt;$ <span class="hljs-built_in">which</span> python.exe      <span class="hljs-comment"># in Cygwin/Windows</span>
+&gt; amesCAP/Scripts/python.exe
+(amesCAP)&gt;$ <span class="hljs-built_in">which</span> pip
+&gt; amesCAP/Scripts/pip            
+</code></pre>
+<p>There is therefore no need to reference the full paths while <strong>inside</strong> the virtual environment.</p>
+<hr>
+<h2 id="2-installing-cap">2. Installing CAP</h2>
+<p>Now we can download and install CAP in <code>amesCAP</code>. CAP was provided to you in the tarfile <code>AmesCAP-master.zip</code> that was sent along with these instructions. Download <code>AmesCAP-master.zip</code>. You can leave the file in <code>Downloads/</code>, or,  if you encounter any permission issue, move it to a temporary location like your <code>/home</code> or <code>/Desktop</code> directories.</p>
+<h3 id="using-pip">Using <code>pip</code></h3>
+<p>Open a terminal window, activate the virtual environment, and untar the file or install from the github:</p>
+<pre><code class="language-bash">(<span class="hljs-built_in">local</span>)&gt;$ <span class="hljs-built_in">source</span> ~/amesCAP/bin/activate          <span class="hljs-comment"># bash</span>
+(<span class="hljs-built_in">local</span>)&gt;$ <span class="hljs-built_in">source</span> ~/amesCAP/bin/activate.csh      <span class="hljs-comment"># cshr/tsch</span>
+(<span class="hljs-built_in">local</span>)&gt;$ <span class="hljs-built_in">source</span> ~/amesCAP/Scripts/activate.csh  <span class="hljs-comment">#  Cygwin/Windows</span>
+(<span class="hljs-built_in">local</span>)&gt;$ conda amesCAP/bin/activate             <span class="hljs-comment"># if you used conda</span>
+<span class="hljs-comment"># FROM AN ARCHIVE:</span>
+(amesCAP)&gt;$ tar -xf AmesCAP-master.zip
+(amesCAP)&gt;$ <span class="hljs-built_in">cd</span> AmesCAP-master
+(amesCAP)&gt;$ pip install .
+<span class="hljs-comment"># OR FROM THE GITHUB:</span>
+(amesCAP)&gt;$ pip install git+https://github.com/NASA-Planetary-Science/AmesCAP.git
+</code></pre>
+<blockquote>
+<p>Please follow the instructions to upgrade pip if recommended during that steps. Instructions relevant the <em>conda</em> package manager are listed at the end of this section</p>
+</blockquote>
+<p>That's it! CAP is installed in <code>amesCAP</code> and you can see the <code>MarsXXXX.py</code> executables stored in <code>~/amesCAP/bin/</code>:</p>
+<pre><code class="language-bash">(<span class="hljs-built_in">local</span>)&gt;$ <span class="hljs-built_in">ls</span> ~/amesCAP/bin/
+&gt; Activate.ps1     MarsPull.py      activate.csh              nc4tonc3         pip3
+&gt; MarsFiles.py     MarsVars.py      activate.fish             ncinfo           pip3.8
+&gt; MarsInterp.py    MarsViewer.py    easy_install              normalizer       python
+&gt; MarsPlot.py      activate         easy_install-3.8          pip              python3
+</code></pre>
+<blockquote>
+<p>Shall you need to modify any code, note that when you access the <code>Mars</code> tools above, those are <strong>not</strong> executed from the <code>AmesCAP-master/</code> folder in your <code>/Downloads</code> directory, but instead from the <code>amesCAP</code> virtual environment where they were installed by pip. You can safely move AmesCAP-master.zip and the AmesCAP-master directory to a different location on your system.</p>
+</blockquote>
+<p>Double check that the paths to the executables are correctly set in your terminal by exiting the virtual environment:</p>
+<pre><code class="language-bash">(amesCAP)&gt;$ deactivate
+</code></pre>
+<p>then reactivating the virtual environment:</p>
+<pre><code class="language-bash">(<span class="hljs-built_in">local</span>)&gt;$ <span class="hljs-built_in">source</span> ~/amesCAP/bin/activate          <span class="hljs-comment"># bash</span>
+(<span class="hljs-built_in">local</span>)&gt;$ <span class="hljs-built_in">source</span> ~/amesCAP/bin/activate.csh      <span class="hljs-comment"># csh/tsch</span>
+(<span class="hljs-built_in">local</span>)&gt;$ <span class="hljs-built_in">source</span> ~/amesCAP/Scripts/activate.csh  <span class="hljs-comment"># cygwin</span>
+(<span class="hljs-built_in">local</span>)&gt;$ conda amesCAP/bin/activate             <span class="hljs-comment"># if you used conda</span>
+</code></pre>
+<p>and checking the documentation for any CAP executable using the <code>--help</code> option:</p>
+<pre><code class="language-bash">(amesCAP)&gt;$ MarsPlot.py --<span class="hljs-built_in">help</span>
+(amesCAP)&gt;$ MarsPlot.py -h
+</code></pre>
+<p>or using <strong>full</strong> paths:</p>
+<pre><code class="language-bash">(amesCAP)&gt;$ ~/amesCAP/bin/MarsPlot.py -h     <span class="hljs-comment"># Linux/MacOS</span>
+(amesCAP)&gt;$ ~/amesCAP/Scripts/MarsPlot.py -h <span class="hljs-comment"># Cygwin/Windows</span>
+</code></pre>
+<p>If the pipeline is installed correctly, <code>--help</code> will display documentation and command-line arguments for <code>MarsPlot</code> in the terminal.</p>
+<blockquote>
+<p>If you have either purposely or accidentally installed the <code>amescap</code> package on top of your main python distribution (e.g. in <code>~/anaconda3/lib/python3.7/site-packages/</code> or <code>~/anaconda3/bin/</code>) BEFORE setting-up the <code>amesCAP</code> virtual environment, the <code>Mars*.py</code> executables may not be present in the <code>~/amesCAP/bin/</code> directory of the virtual environment (<code>~/amesCAP/Scripts/</code> on Cygwin). Because on Step 2 we created the virtual environment using the <code>--system-site-packages</code> flag, python will consider that <code>amescap</code> is already installed when creating the new virtual environment and pull the code from that location, which may change the structure of the <code>~/amesCAP/bin</code> directory within the virtual environment. If that is the case, the recommended approach is to exit the virtual environment (<code>deactivate</code>), run <code>pip uninstall amescap</code> to remove CAP from the main python distribution, and start over at Step 2.</p>
+</blockquote>
+<p>This completes the one-time installation of CAP in your virtual environment, <code>amesCAP</code>, which now looks like:</p>
+<pre><code>amesCAP/
+├── bin
+│   ├── MarsFiles.py
+│   ├── MarsInterp.py
+│   ├── MarsPlot.py
+│   ├── MarsPull.py
+│   ├── MarsVars.py
+│   ├── activate
+│   ├── activate.csh
+│   ├── deactivate
+│   ├── pip
+│   └── python3
+├── lib
+│   └── python3.7
+│       └── site-packages
+│           ├── netCDF4
+│           └── amescap
+│               ├── FV3_utils.py
+│               ├── Ncdf_wrapper.py
+│               └── Script_utils.py
+├── mars_data
+│   └── Legacy.fixed.nc
+└── mars_templates
+    ├──amescap_profile
+    └── legacy.in
+</code></pre>
+<hr>
+<h3 id="using-conda">Using <code>conda</code></h3>
+<p>If you prefer using the <code>conda</code> package manager for setting up your virtual environment instead of <code>pip</code>, you may use the following commands to install CAP.</p>
+<p>First, verify (using <code>conda info</code> or <code>which conda</code>) that you are using the intented <code>conda</code> executable (two or more versions of <code>conda</code> might be present if both Python2 and Python3 are installed on your system). Then, create the virtual environment with:</p>
+<pre><code class="language-bash">(<span class="hljs-built_in">local</span>)&gt;$ conda create -n amesCAP
+</code></pre>
+<p>Activate the virtual environment, then install CAP:</p>
+<pre><code class="language-bash">(<span class="hljs-built_in">local</span>)&gt;$ conda activate amesCAP
+(amesCAP)&gt;$ conda install pip
+<span class="hljs-comment"># FROM AN ARCHIVE:</span>
+(amesCAP)&gt;$ <span class="hljs-built_in">cd</span> ~/Downloads
+(amesCAP)&gt;$ tar -xf AmesCAP-master.zip
+(amesCAP)&gt;$ <span class="hljs-built_in">cd</span> AmesCAP-master
+(amesCAP)&gt;$ pip install .
+<span class="hljs-comment"># OR FROM THE GITHUB:</span>
+(amesCAP)&gt;$ pip install git+https://github.com/NASA-Planetary-Science/AmesCAP.git
+</code></pre>
+<p>The source code will be installed in:</p>
+<pre><code class="language-bash">/path/to/anaconda3/envs/amesCAP/
+</code></pre>
+<p>and the virtual environment may be activated and deactivated with <code>conda</code>:</p>
+<pre><code class="language-bash">(<span class="hljs-built_in">local</span>)&gt;$ conda activate amesCAP
+(amesCAP)&gt;$ conda deactivate
+(<span class="hljs-built_in">local</span>)&gt;$
+</code></pre>
+<blockquote>
+<p><strong>Note:</strong> CAP requires the following Python packages, which were automatically installed with CAP:</p>
+<pre><code class="language-bash">matplotlib        <span class="hljs-comment"># the MatPlotLib plotting library</span>
+numpy             <span class="hljs-comment"># math library</span>
+scipy             <span class="hljs-comment"># math library and input/output for fortran binaries</span>
+netCDF4 Python    <span class="hljs-comment"># handling netCDF files</span>
+requests          <span class="hljs-comment"># downloading GCM output from the MCMC Data Portal</span>
+</code></pre>
+</blockquote>
+<hr>
+<h3 id="removing-cap">Removing CAP</h3>
+<p>To permanently remove CAP, activate the virtual environment and run the <code>uninstall</code> command:</p>
+<pre><code class="language-bash">(<span class="hljs-built_in">local</span>)&gt;$ <span class="hljs-built_in">source</span> amesCAP/bin/activate          <span class="hljs-comment"># bash</span>
+(<span class="hljs-built_in">local</span>)&gt;$ <span class="hljs-built_in">source</span> amesCAP/bin/activate.csh      <span class="hljs-comment"># csh/tcsh</span>
+(<span class="hljs-built_in">local</span>)&gt;$ <span class="hljs-built_in">source</span> amesCAP/Scripts/activate.csh  <span class="hljs-comment"># Cygwin/Windows</span>
+(amesCAP)&gt;$ pip uninstall amescap
+</code></pre>
+<p>You may also delete the <code>amesCAP</code> virtual environment directory at any time. This will uninstall CAP, remove the virtual environment from your machine, and will not affect your main Python distribution.</p>
+<hr>
+<h2 id="3-testing--using-cap">3. Testing &amp; Using CAP</h2>
+<p>Whenever you want to use CAP, simply activate the virtual environment and all of CAP's executables will be accessible from the command line:</p>
+<pre><code class="language-bash">(<span class="hljs-built_in">local</span>)&gt;$ <span class="hljs-built_in">source</span> amesCAP/bin/activate          <span class="hljs-comment">#   bash</span>
+(<span class="hljs-built_in">local</span>)&gt;$ <span class="hljs-built_in">source</span> amesCAP/bin/activate.csh      <span class="hljs-comment">#   csh/tcsh</span>
+(<span class="hljs-built_in">local</span>)&gt;$ <span class="hljs-built_in">source</span> amesCAP/Scripts/activate.csh  <span class="hljs-comment">#   Cygwin/Windows</span>
+</code></pre>
+<p>You can check that the tools are installed properly by typing <code>Mars</code> and then pressing the <strong>TAB</strong> key. No matter where you are on your system, you should see the following pop up:</p>
+<pre><code class="language-bash">(amesCAP)&gt;$ Mars[TAB]
+&gt; MarsFiles.py   MarsInterp.py  MarsPlot.py    MarsPull.py    MarsVars.py
+</code></pre>
+<p>If no executables show up then the paths have not been properly set in the virtual environment. You can either use the full paths to the executables:</p>
+<pre><code class="language-bash">(amesCAP)&gt;$ ~/amesCAP/bin/MarsPlot.py
+</code></pre>
+<p>Or set up aliases in your <code>./bashrc</code> or <code>.cshrc</code>:</p>
+<pre><code class="language-bash"><span class="hljs-comment"># with bash:</span>
+(<span class="hljs-built_in">local</span>)&gt;$ <span class="hljs-built_in">echo</span> <span class="hljs-built_in">alias</span> MarsPlot=<span class="hljs-string">&#x27;/Users/username/amesCAP/bin/MarsPlot.py&#x27;</span> &gt;&gt; ~/.bashrc
+(<span class="hljs-built_in">local</span>)&gt;$ <span class="hljs-built_in">source</span> ~/.bashrc
+
+<span class="hljs-comment"># with csh/tsch</span>
+(<span class="hljs-built_in">local</span>)&gt;$ <span class="hljs-built_in">echo</span> <span class="hljs-built_in">alias</span> MarsPlot /username/amesCAP/bin/MarsPlot &gt;&gt; ~/.cshrc
+(<span class="hljs-built_in">local</span>)&gt;$ <span class="hljs-built_in">source</span> ~/.cshrc
+</code></pre>
+<hr>
+<h2 id="4-practical-tips-for-later-use-during-the-tutorial">4. Practical Tips for Later Use During the Tutorial</h2>
+<h3 id="install-ghostscript-to-create-multiple-page-pdfs-when-using-marsplot">Install <code>ghostscript</code> to Create Multiple-Page PDFs When Using <code>MarsPlot</code></h3>
+<p>Installing <code>ghostscript</code> on your local machine allows CAP to generate a multiple-page PDF file instead of several individual PNGs when creating several plots. Without <code>ghostcript</code>, CAP defaults to generating multiple <code>.png</code> files instead of a single PDF file, and we therefore strongly recommend installing <code>ghostscript</code> to streamline the plotting process.</p>
+<p>First, check whether you already have <code>ghostscript</code> on your machine. Open a terminal and type:</p>
+<pre><code class="language-bash">(<span class="hljs-built_in">local</span>)&gt;$ gs -version
+&gt; GPL Ghostscript 9.54.0 (2021-03-30)
+&gt; Copyright (C) 2021 Artifex Software, Inc.  All rights reserved.
+</code></pre>
+<p>If <code>ghostscript</code> is not installed, follow the directions on the <code>ghostscript</code> <a href="https://www.ghostscript.com/download.html">website</a> to install it.</p>
+<blockquote>
+<p>If <code>gs -version</code> returns a 'command not found error' but you are able to locate the <code>gs</code> executable  on your system (e.g. /opt/local/bin/gs) you may need to add that specific directory (e.g. /opt/local/bin/) to your search $PATH as done for Python and pip in Step 1</p>
+</blockquote>
+<h3 id="enable-syntax-highlighting-for-the-plot-template">Enable Syntax Highlighting for the Plot Template</h3>
+<p>The <code>MarsPlot</code> executable requires an input template with the <code>.in</code> file extension. We recommend using a text editor that provides language-specific (Python) syntax highlighting to make keywords more readable. A few options include: <a href="https://atom.io/">Atom</a> and vim (compatible with MacOS, Windows, Linux), notepad++ (compatible with Windows), or gedit (compatible with Linux).</p>
+<p>The most commonly used text editor is vim. Enabling proper syntax-highlighting for Python in <strong>vim</strong> can be done by adding the following lines to <code>~/.vimrc</code>:</p>
+<pre><code class="language-bash">syntax on
+colorscheme default
+au BufReadPost *.<span class="hljs-keyword">in</span>  <span class="hljs-built_in">set</span> syntax=python
+</code></pre>
+<hr>
+<h2 id="5-do-this-before-attending-the-tutorial">5. Do This Before Attending the Tutorial</h2>
+<p>In order to follow along with the practical part of the MGCM Tutorial, we ask that you <strong>download several MGCM output files beforehand</strong>. You should save these on the machine you'll be using during the tutorial.</p>
+<p>We'll use CAP to retrieve these files from the MGCM Data Portal. To begin, activate the virtual environment:</p>
+<pre><code class="language-bash">(<span class="hljs-built_in">local</span>)&gt;$ <span class="hljs-built_in">source</span> amesCAP/bin/activate      <span class="hljs-comment"># bash</span>
+(<span class="hljs-built_in">local</span>)&gt;$ <span class="hljs-built_in">source</span> amesCAP/bin/activate.csh  <span class="hljs-comment"># csh/tcsh</span>
+</code></pre>
+<p>Choose a directory in which to store these MGCM output files on your machine. We will also create two sub- directories, one for an MGCM simulation with radiatively inert clouds (RIC) and one for an MGCM simulation with radiatively active clouds (RAC):</p>
+<pre><code class="language-bash">(amesCAP)&gt;$ <span class="hljs-built_in">mkdir</span> CAP_tutorial
+(amesCAP)&gt;$ <span class="hljs-built_in">cd</span> CAP_tutorial
+(amesCAP)&gt;$ <span class="hljs-built_in">mkdir</span> INERTCLDS ACTIVECLDS
+</code></pre>
+<p>Then, download the corresponding data in each directory:</p>
+<pre><code class="language-bash">(amesCAP)&gt;$ <span class="hljs-built_in">cd</span> INERTCLDS
+(amesCAP)&gt;$ MarsPull.py -<span class="hljs-built_in">id</span> INERTCLDS -<span class="hljs-built_in">ls</span> 255 285
+(amesCAP)&gt;$ <span class="hljs-built_in">cd</span> ../ACTIVECLDS
+(amesCAP)&gt;$ MarsPull.py -<span class="hljs-built_in">id</span> ACTIVECLDS -<span class="hljs-built_in">ls</span> 255 285
+</code></pre>
+<p>Finally, check for files integrity using the <code>disk use</code> command:</p>
+<pre><code class="language-bash"><span class="hljs-built_in">cd</span> ..
+<span class="hljs-built_in">du</span> -h INERTCLDS/fort.11*
+<span class="hljs-built_in">du</span> -h ACTIVECLDS/fort.11*
+&gt; 433M	fort.11_0719
+[...]
+</code></pre>
+<p>The files should be 433Mb each. That's it! <code>CAP_tutorial</code> now holds the necessary <code>fort.11</code> files from the radiatively active and inert MGCM simulations:</p>
+<pre><code>CAP_tutorial/
+├── INERTCLDS/
+│   └── fort.11_0719  fort.11_0720  fort.11_0721  fort.11_0722  fort.11_0723
+└── ACTIVECLDS/
+    └── fort.11_0719  fort.11_0720  fort.11_0721  fort.11_0722  fort.11_0723
+</code></pre>
+<p>You can now deactivate the virtual environment:</p>
+<pre><code class="language-bash">(amesCAP)&gt;$ deactivate
+</code></pre>
+<blockquote>
+<p>If you encounter an issue during the download process or if the files are not 433Mb, please verify the files availability on <a href="https://data.nas.nasa.gov/legacygcm/data_legacygcm.php">the MCMC Data Portal</a> and try again later. You can re-attempt to download specific files as follows: <code>MarsPull.py -id  ACTIVECLDS -f fort.11_0720 fort.11_0723</code> (make sure to navigate to the appropriate simulation directory first), or simply download the 10 files listed above manually from the website.</p>
+</blockquote>
+<hr>
+</div>
+        </div>
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s(null,null,t)},y.prototype.initParameters=function(){i.prototype.initParameters.call(this,arguments),this.isSubLayout||(c.DEFAULT_EDGE_LENGTH<10?this.idealEdgeLength=10:this.idealEdgeLength=c.DEFAULT_EDGE_LENGTH,this.useSmartIdealEdgeLengthCalculation=c.DEFAULT_USE_SMART_IDEAL_EDGE_LENGTH_CALCULATION,this.springConstant=u.DEFAULT_SPRING_STRENGTH,this.repulsionConstant=u.DEFAULT_REPULSION_STRENGTH,this.gravityConstant=u.DEFAULT_GRAVITY_STRENGTH,this.compoundGravityConstant=u.DEFAULT_COMPOUND_GRAVITY_STRENGTH,this.gravityRangeFactor=u.DEFAULT_GRAVITY_RANGE_FACTOR,this.compoundGravityRangeFactor=u.DEFAULT_COMPOUND_GRAVITY_RANGE_FACTOR,this.prunedNodesAll=[],this.growTreeIterations=0,this.afterGrowthIterations=0,this.isTreeGrowing=!1,this.isGrowthFinished=!1,this.coolingCycle=0,this.maxCoolingCycle=this.maxIterations/u.CONVERGENCE_CHECK_PERIOD,this.finalTemperature=u.CONVERGENCE_CHECK_PERIOD/this.maxIterations,this.coolingAdjuster=1)},y.prototype.layout=function(){return l.DEFAULT_CREATE_BENDS_AS_NEEDED&&(this.createBendpoints(),this.graphManager.resetAllEdges()),this.level=0,this.classicLayout()},y.prototype.classicLayout=function(){if(this.nodesWithGravity=this.calculateNodesToApplyGravitationTo(),this.graphManager.setAllNodesToApplyGravitation(this.nodesWithGravity),this.calcNoOfChildrenForAllNodes(),this.graphManager.calcLowestCommonAncestors(),this.graphManager.calcInclusionTreeDepths(),this.graphManager.getRoot().calcEstimatedSize(),this.calcIdealEdgeLengths(),this.incremental)c.TREE_REDUCTION_ON_INCREMENTAL&&(this.reduceTrees(),this.graphManager.resetAllNodesToApplyGravitation(),e=new Set(this.getAllNodes()),n=this.nodesWithGravity.filter((function(t){return e.has(t)})),this.graphManager.setAllNodesToApplyGravitation(n));else{var t=this.getFlatForest();if(t.length>0)this.positionNodesRadially(t);else{this.reduceTrees(),this.graphManager.resetAllNodesToApplyGravitation();var e=new Set(this.getAllNodes()),n=this.nodesWithGravity.filter((function(t){return e.has(t)}));this.graphManager.setAllNodesToApplyGravitation(n),this.positionNodesRandomly()}}return this.initSpringEmbedder(),this.runSpringEmbedder(),!0},y.prototype.tick=function(){if(this.totalIterations++,this.totalIterations===this.maxIterations&&!this.isTreeGrowing&&!this.isGrowthFinished){if(!(this.prunedNodesAll.length>0))return!0;this.isTreeGrowing=!0}if(this.totalIterations%u.CONVERGENCE_CHECK_PERIOD==0&&!this.isTreeGrowing&&!this.isGrowthFinished){if(this.isConverged()){if(!(this.prunedNodesAll.length>0))return!0;this.isTreeGrowing=!0}this.coolingCycle++,0==this.layoutQuality?this.coolingAdjuster=this.coolingCycle:1==this.layoutQuality&&(this.coolingAdjuster=this.coolingCycle/3),this.coolingFactor=Math.max(this.initialCoolingFactor-Math.pow(this.coolingCycle,Math.log(100*(this.initialCoolingFactor-this.finalTemperature))/Math.log(this.maxCoolingCycle))/100*this.coolingAdjuster,this.finalTemperature),this.animationPeriod=Math.ceil(this.initialAnimationPeriod*Math.sqrt(this.coolingFactor))}if(this.isTreeGrowing){if(this.growTreeIterations%10==0)if(this.prunedNodesAll.length>0){this.graphManager.updateBounds(),this.updateGrid(),this.growTree(this.prunedNodesAll),this.graphManager.resetAllNodesToApplyGravitation();var t=new Set(this.getAllNodes()),e=this.nodesWithGravity.filter((function(e){return t.has(e)}));this.graphManager.setAllNodesToApplyGravitation(e),this.graphManager.updateBounds(),this.updateGrid(),this.coolingFactor=u.DEFAULT_COOLING_FACTOR_INCREMENTAL}else this.isTreeGrowing=!1,this.isGrowthFinished=!0;this.growTreeIterations++}if(this.isGrowthFinished){if(this.isConverged())return!0;this.afterGrowthIterations%10==0&&(this.graphManager.updateBounds(),this.updateGrid()),this.coolingFactor=u.DEFAULT_COOLING_FACTOR_INCREMENTAL*((100-this.afterGrowthIterations)/100),this.afterGrowthIterations++}var n=!this.isTreeGrowing&&!this.isGrowthFinished,i=this.growTreeIterations%10==1&&this.isTreeGrowing||this.afterGrowthIterations%10==1&&this.isGrowthFinished;return this.totalDisplacement=0,this.graphManager.updateBounds(),this.calcSpringForces(),this.calcRepulsionForces(n,i),this.calcGravitationalForces(),this.moveNodes(),this.animate(),!1},y.prototype.getPositionsData=function(){for(var t=this.graphManager.getAllNodes(),e={},n=0;n<t.length;n++){var i=t[n].rect,r=t[n].id;e[r]={id:r,x:i.getCenterX(),y:i.getCenterY(),w:i.width,h:i.height}}return e},y.prototype.runSpringEmbedder=function(){this.initialAnimationPeriod=25,this.animationPeriod=this.initialAnimationPeriod;var t=!1;if("during"===u.ANIMATE)this.emit("layoutstarted");else{for(;!t;)t=this.tick();this.graphManager.updateBounds()}},y.prototype.calculateNodesToApplyGravitationTo=function(){var t,e,n=[],i=this.graphManager.getGraphs(),r=i.length;for(e=0;e<r;e++)(t=i[e]).updateConnected(),t.isConnected||(n=n.concat(t.getNodes()));return n},y.prototype.createBendpoints=function(){var t=[];t=t.concat(this.graphManager.getAllEdges());var e,n=new Set;for(e=0;e<t.length;e++){var i=t[e];if(!n.has(i)){var r=i.getSource(),a=i.getTarget();if(r==a)i.getBendpoints().push(new f),i.getBendpoints().push(new f),this.createDummyNodesForBendpoints(i),n.add(i);else{var o=[];if(o=(o=o.concat(r.getEdgeListToNode(a))).concat(a.getEdgeListToNode(r)),!n.has(o[0])){var s;if(o.length>1)for(s=0;s<o.length;s++){var c=o[s];c.getBendpoints().push(new f),this.createDummyNodesForBendpoints(c)}o.forEach((function(t){n.add(t)}))}}}if(n.size==t.length)break}},y.prototype.positionNodesRadially=function(t){for(var e=new h(0,0),n=Math.ceil(Math.sqrt(t.length)),i=0,r=0,a=0,o=new f(0,0),s=0;s<t.length;s++){s%n==0&&(a=0,r=i,0!=s&&(r+=c.DEFAULT_COMPONENT_SEPERATION),i=0);var u=t[s],g=d.findCenterOfTree(u);e.x=a,e.y=r,(o=y.radialLayout(u,g,e)).y>i&&(i=Math.floor(o.y)),a=Math.floor(o.x+c.DEFAULT_COMPONENT_SEPERATION)}this.transform(new f(l.WORLD_CENTER_X-o.x/2,l.WORLD_CENTER_Y-o.y/2))},y.radialLayout=function(t,e,n){var i=Math.max(this.maxDiagonalInTree(t),c.DEFAULT_RADIAL_SEPARATION);y.branchRadialLayout(e,null,0,359,0,i);var r=b.calculateBounds(t),a=new w;a.setDeviceOrgX(r.getMinX()),a.setDeviceOrgY(r.getMinY()),a.setWorldOrgX(n.x),a.setWorldOrgY(n.y);for(var o=0;o<t.length;o++)t[o].transform(a);var s=new f(r.getMaxX(),r.getMaxY());return a.inverseTransformPoint(s)},y.branchRadialLayout=function(t,e,n,i,r,a){var o=(i-n+1)/2;o<0&&(o+=180);var s=(o+n)%360*p.TWO_PI/360,c=(Math.cos(s),r*Math.cos(s)),u=r*Math.sin(s);t.setCenter(c,u);var l=[],h=(l=l.concat(t.getEdges())).length;null!=e&&h--;for(var f,d=0,g=l.length,b=t.getEdgesBetween(e);b.length>1;){var w=b[0];b.splice(0,1);var m=l.indexOf(w);m>=0&&l.splice(m,1),g--,h--}f=null!=e?(l.indexOf(b[0])+1)%g:0;for(var v=Math.abs(i-n)/h,x=f;d!=h;x=++x%g){var k=l[x].getOtherEnd(t);if(k!=e){var _=(n+d*v)%360,E=(_+v)%360;y.branchRadialLayout(k,t,_,E,r+a,a),d++}}},y.maxDiagonalInTree=function(t){for(var e=g.MIN_VALUE,n=0;n<t.length;n++){var i=t[n].getDiagonal();i>e&&(e=i)}return e},y.prototype.calcRepulsionRange=function(){return 2*(this.level+1)*this.idealEdgeLength},y.prototype.groupZeroDegreeMembers=function(){var t=this,e={};this.memberGroups={},this.idToDummyNode={};for(var n=[],i=this.graphManager.getAllNodes(),r=0;r<i.length;r++){var a=(s=i[r]).getParent();0!==this.getNodeDegreeWithChildren(s)||null!=a.id&&this.getToBeTiled(a)||n.push(s)}for(r=0;r<n.length;r++){var s,c=(s=n[r]).getParent().id;void 0===e[c]&&(e[c]=[]),e[c]=e[c].concat(s)}Object.keys(e).forEach((function(n){if(e[n].length>1){var i="DummyCompound_"+n;t.memberGroups[i]=e[n];var r=e[n][0].getParent(),a=new o(t.graphManager);a.id=i,a.paddingLeft=r.paddingLeft||0,a.paddingRight=r.paddingRight||0,a.paddingBottom=r.paddingBottom||0,a.paddingTop=r.paddingTop||0,t.idToDummyNode[i]=a;var s=t.getGraphManager().add(t.newGraph(),a),c=r.getChild();c.add(a);for(var u=0;u<e[n].length;u++){var l=e[n][u];c.remove(l),s.add(l)}}}))},y.prototype.clearCompounds=function(){var t={},e={};this.performDFSOnCompounds();for(var n=0;n<this.compoundOrder.length;n++)e[this.compoundOrder[n].id]=this.compoundOrder[n],t[this.compoundOrder[n].id]=[].concat(this.compoundOrder[n].getChild().getNodes()),this.graphManager.remove(this.compoundOrder[n].getChild()),this.compoundOrder[n].child=null;this.graphManager.resetAllNodes(),this.tileCompoundMembers(t,e)},y.prototype.clearZeroDegreeMembers=function(){var t=this,e=this.tiledZeroDegreePack=[];Object.keys(this.memberGroups).forEach((function(n){var i=t.idToDummyNode[n];e[n]=t.tileNodes(t.memberGroups[n],i.paddingLeft+i.paddingRight),i.rect.width=e[n].width,i.rect.height=e[n].height}))},y.prototype.repopulateCompounds=function(){for(var t=this.compoundOrder.length-1;t>=0;t--){var e=this.compoundOrder[t],n=e.id,i=e.paddingLeft,r=e.paddingTop;this.adjustLocations(this.tiledMemberPack[n],e.rect.x,e.rect.y,i,r)}},y.prototype.repopulateZeroDegreeMembers=function(){var t=this,e=this.tiledZeroDegreePack;Object.keys(e).forEach((function(n){var i=t.idToDummyNode[n],r=i.paddingLeft,a=i.paddingTop;t.adjustLocations(e[n],i.rect.x,i.rect.y,r,a)}))},y.prototype.getToBeTiled=function(t){var e=t.id;if(null!=this.toBeTiled[e])return this.toBeTiled[e];var n=t.getChild();if(null==n)return this.toBeTiled[e]=!1,!1;for(var i=n.getNodes(),r=0;r<i.length;r++){var a=i[r];if(this.getNodeDegree(a)>0)return this.toBeTiled[e]=!1,!1;if(null!=a.getChild()){if(!this.getToBeTiled(a))return this.toBeTiled[e]=!1,!1}else this.toBeTiled[a.id]=!1}return this.toBeTiled[e]=!0,!0},y.prototype.getNodeDegree=function(t){t.id;for(var e=t.getEdges(),n=0,i=0;i<e.length;i++){var r=e[i];r.getSource().id!==r.getTarget().id&&(n+=1)}return n},y.prototype.getNodeDegreeWithChildren=function(t){var e=this.getNodeDegree(t);if(null==t.getChild())return e;for(var n=t.getChild().getNodes(),i=0;i<n.length;i++){var r=n[i];e+=this.getNodeDegreeWithChildren(r)}return e},y.prototype.performDFSOnCompounds=function(){this.compoundOrder=[],this.fillCompexOrderByDFS(this.graphManager.getRoot().getNodes())},y.prototype.fillCompexOrderByDFS=function(t){for(var e=0;e<t.length;e++){var n=t[e];null!=n.getChild()&&this.fillCompexOrderByDFS(n.getChild().getNodes()),this.getToBeTiled(n)&&this.compoundOrder.push(n)}},y.prototype.adjustLocations=function(t,e,n,i,r){n+=r;for(var a=e+=i,o=0;o<t.rows.length;o++){var s=t.rows[o];e=a;for(var c=0,u=0;u<s.length;u++){var l=s[u];l.rect.x=e,l.rect.y=n,e+=l.rect.width+t.horizontalPadding,l.rect.height>c&&(c=l.rect.height)}n+=c+t.verticalPadding}},y.prototype.tileCompoundMembers=function(t,e){var n=this;this.tiledMemberPack=[],Object.keys(t).forEach((function(i){var r=e[i];n.tiledMemberPack[i]=n.tileNodes(t[i],r.paddingLeft+r.paddingRight),r.rect.width=n.tiledMemberPack[i].width,r.rect.height=n.tiledMemberPack[i].height}))},y.prototype.tileNodes=function(t,e){var n={rows:[],rowWidth:[],rowHeight:[],width:0,height:e,verticalPadding:c.TILING_PADDING_VERTICAL,horizontalPadding:c.TILING_PADDING_HORIZONTAL};t.sort((function(t,e){return t.rect.width*t.rect.height>e.rect.width*e.rect.height?-1:t.rect.width*t.rect.height<e.rect.width*e.rect.height?1:0}));for(var i=0;i<t.length;i++){var r=t[i];0==n.rows.length?this.insertNodeToRow(n,r,0,e):this.canAddHorizontal(n,r.rect.width,r.rect.height)?this.insertNodeToRow(n,r,this.getShortestRowIndex(n),e):this.insertNodeToRow(n,r,n.rows.length,e),this.shiftToLastRow(n)}return n},y.prototype.insertNodeToRow=function(t,e,n,i){var r=i;n==t.rows.length&&(t.rows.push([]),t.rowWidth.push(r),t.rowHeight.push(0));var a=t.rowWidth[n]+e.rect.width;t.rows[n].length>0&&(a+=t.horizontalPadding),t.rowWidth[n]=a,t.width<a&&(t.width=a);var o=e.rect.height;n>0&&(o+=t.verticalPadding);var s=0;o>t.rowHeight[n]&&(s=t.rowHeight[n],t.rowHeight[n]=o,s=t.rowHeight[n]-s),t.height+=s,t.rows[n].push(e)},y.prototype.getShortestRowIndex=function(t){for(var e=-1,n=Number.MAX_VALUE,i=0;i<t.rows.length;i++)t.rowWidth[i]<n&&(e=i,n=t.rowWidth[i]);return e},y.prototype.getLongestRowIndex=function(t){for(var e=-1,n=Number.MIN_VALUE,i=0;i<t.rows.length;i++)t.rowWidth[i]>n&&(e=i,n=t.rowWidth[i]);return e},y.prototype.canAddHorizontal=function(t,e,n){var i=this.getShortestRowIndex(t);if(i<0)return!0;var r=t.rowWidth[i];if(r+t.horizontalPadding+e<=t.width)return!0;var a,o,s=0;return t.rowHeight[i]<n&&i>0&&(s=n+t.verticalPadding-t.rowHeight[i]),a=t.width-r>=e+t.horizontalPadding?(t.height+s)/(r+e+t.horizontalPadding):(t.height+s)/t.width,s=n+t.verticalPadding,(o=t.width<e?(t.height+s)/e:(t.height+s)/t.width)<1&&(o=1/o),a<1&&(a=1/a),a<o},y.prototype.shiftToLastRow=function(t){var e=this.getLongestRowIndex(t),n=t.rowWidth.length-1,i=t.rows[e],r=i[i.length-1],a=r.width+t.horizontalPadding;if(t.width-t.rowWidth[n]>a&&e!=n){i.splice(-1,1),t.rows[n].push(r),t.rowWidth[e]=t.rowWidth[e]-a,t.rowWidth[n]=t.rowWidth[n]+a,t.width=t.rowWidth[instance.getLongestRowIndex(t)];for(var o=Number.MIN_VALUE,s=0;s<i.length;s++)i[s].height>o&&(o=i[s].height);e>0&&(o+=t.verticalPadding);var c=t.rowHeight[e]+t.rowHeight[n];t.rowHeight[e]=o,t.rowHeight[n]<r.height+t.verticalPadding&&(t.rowHeight[n]=r.height+t.verticalPadding);var u=t.rowHeight[e]+t.rowHeight[n];t.height+=u-c,this.shiftToLastRow(t)}},y.prototype.tilingPreLayout=function(){c.TILE&&(this.groupZeroDegreeMembers(),this.clearCompounds(),this.clearZeroDegreeMembers())},y.prototype.tilingPostLayout=function(){c.TILE&&(this.repopulateZeroDegreeMembers(),this.repopulateCompounds())},y.prototype.reduceTrees=function(){for(var t,e=[],n=!0;n;){var i=this.graphManager.getAllNodes(),r=[];n=!1;for(var a=0;a<i.length;a++)1!=(t=i[a]).getEdges().length||t.getEdges()[0].isInterGraph||null!=t.getChild()||(r.push([t,t.getEdges()[0],t.getOwner()]),n=!0);if(1==n){for(var o=[],s=0;s<r.length;s++)1==r[s][0].getEdges().length&&(o.push(r[s]),r[s][0].getOwner().remove(r[s][0]));e.push(o),this.graphManager.resetAllNodes(),this.graphManager.resetAllEdges()}}this.prunedNodesAll=e},y.prototype.growTree=function(t){for(var e,n=t[t.length-1],i=0;i<n.length;i++)e=n[i],this.findPlaceforPrunedNode(e),e[2].add(e[0]),e[2].add(e[1],e[1].source,e[1].target);t.splice(t.length-1,1),this.graphManager.resetAllNodes(),this.graphManager.resetAllEdges()},y.prototype.findPlaceforPrunedNode=function(t){var e,n,i=t[0],r=(n=i==t[1].source?t[1].target:t[1].source).startX,a=n.finishX,o=n.startY,s=n.finishY,c=[0,0,0,0];if(o>0)for(var l=r;l<=a;l++)c[0]+=this.grid[l][o-1].length+this.grid[l][o].length-1;if(a<this.grid.length-1)for(l=o;l<=s;l++)c[1]+=this.grid[a+1][l].length+this.grid[a][l].length-1;if(s<this.grid[0].length-1)for(l=r;l<=a;l++)c[2]+=this.grid[l][s+1].length+this.grid[l][s].length-1;if(r>0)for(l=o;l<=s;l++)c[3]+=this.grid[r-1][l].length+this.grid[r][l].length-1;for(var h,f,d=g.MAX_VALUE,p=0;p<c.length;p++)c[p]<d?(d=c[p],h=1,f=p):c[p]==d&&h++;if(3==h&&0==d)0==c[0]&&0==c[1]&&0==c[2]?e=1:0==c[0]&&0==c[1]&&0==c[3]?e=0:0==c[0]&&0==c[2]&&0==c[3]?e=3:0==c[1]&&0==c[2]&&0==c[3]&&(e=2);else if(2==h&&0==d){var b=Math.floor(2*Math.random());e=0==c[0]&&0==c[1]?0==b?0:1:0==c[0]&&0==c[2]?0==b?0:2:0==c[0]&&0==c[3]?0==b?0:3:0==c[1]&&0==c[2]?0==b?1:2:0==c[1]&&0==c[3]?0==b?1:3:0==b?2:3}else e=4==h&&0==d?b=Math.floor(4*Math.random()):f;0==e?i.setCenter(n.getCenterX(),n.getCenterY()-n.getHeight()/2-u.DEFAULT_EDGE_LENGTH-i.getHeight()/2):1==e?i.setCenter(n.getCenterX()+n.getWidth()/2+u.DEFAULT_EDGE_LENGTH+i.getWidth()/2,n.getCenterY()):2==e?i.setCenter(n.getCenterX(),n.getCenterY()+n.getHeight()/2+u.DEFAULT_EDGE_LENGTH+i.getHeight()/2):i.setCenter(n.getCenterX()-n.getWidth()/2-u.DEFAULT_EDGE_LENGTH-i.getWidth()/2,n.getCenterY())},t.exports=y},function(t,e,n){"use strict";var i={};i.layoutBase=n(0),i.CoSEConstants=n(1),i.CoSEEdge=n(2),i.CoSEGraph=n(3),i.CoSEGraphManager=n(4),i.CoSELayout=n(6),i.CoSENode=n(5),t.exports=i}])},t.exports=i(n(2241))},4607:function(t,e,n){var i;i=function(t){return function(t){var e={};function n(i){if(e[i])return e[i].exports;var r=e[i]={i,l:!1,exports:{}};return t[i].call(r.exports,r,r.exports,n),r.l=!0,r.exports}return n.m=t,n.c=e,n.i=function(t){return 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e=mi(t),n=e.harmonic,i=e.weight,r=e.directed,a=this.cy(),o={},s=0,c=this.nodes(),u=this.floydWarshall({weight:i,directed:r}),l=0;l<c.length;l++){for(var h=0,f=c[l],d=0;d<c.length;d++)if(l!==d){var g=u.distance(f,c[d]);h+=n?1/g:g}n||(h=1/h),s<h&&(s=h),o[f.id()]=h}return{closeness:function(t){return 0==s?0:(t=m(t)?a.filter(t)[0].id():t.id(),o[t]/s)}}},closenessCentrality:function(t){var e=mi(t),n=e.root,i=e.weight,r=e.directed,a=e.harmonic;n=this.filter(n)[0];for(var o=this.dijkstra({root:n,weight:i,directed:r}),s=0,c=this.nodes(),u=0;u<c.length;u++){var l=c[u];if(!l.same(n)){var h=o.distanceTo(l);s+=a?1/h:h}}return a?s:1/s}};vi.cc=vi.closenessCentrality,vi.ccn=vi.closenessCentralityNormalised=vi.closenessCentralityNormalized;var xi=Ne({weight:null,directed:!1}),ki={betweennessCentrality:function(t){for(var e=xi(t),n=e.directed,i=e.weight,r=null!=i,a=this.cy(),o=this.nodes(),s={},c={},u=0,l={set:function(t,e){c[t]=e,e>u&&(u=e)},get:function(t){return c[t]}},h=0;h<o.length;h++){var 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v=r.fieldMax-r.fieldMin;if((b=0===v?0:(y-r.fieldMin)/v)<0?b=0:b>1&&(b=1),s.color){var x=r.valueMin[0],k=r.valueMax[0],_=r.valueMin[1],T=r.valueMax[1],C=r.valueMin[2],S=r.valueMax[2],A=null==r.valueMin[3]?1:r.valueMin[3],M=null==r.valueMax[3]?1:r.valueMax[3],I=[Math.round(x+(k-x)*b),Math.round(_+(T-_)*b),Math.round(C+(S-C)*b),Math.round(A+(M-A)*b)];n={bypass:r.bypass,name:r.name,value:I,strValue:"rgb("+I[0]+", "+I[1]+", "+I[2]+")"}}else{if(!s.number)return!1;var L=r.valueMin+(r.valueMax-r.valueMin)*b;n=this.parse(r.name,L,r.bypass,f)}if(!n)return p(),!1;n.mapping=r,r=n;break;case o.data:for(var D=r.field.split("."),O=h.data,N=0;N<D.length&&O;N++)O=O[D[N]];if(null!=O&&(n=this.parse(r.name,O,r.bypass,f)),!n)return p(),!1;n.mapping=r,r=n;break;case o.fn:var P=r.value,B=null!=r.fnValue?r.fnValue:P(t);if(r.prevFnValue=B,null==B)return Se("Custom function mappers may not return null (i.e. `"+r.name+"` for ele `"+t.id()+"` is null)"),!1;if(!(n=this.parse(r.name,B,r.bypass,f)))return Se("Custom 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r,a,o=this,s=this,c=s.getCachedZSortedEles(),u=[],l=s.cy.zoom(),h=s.cy.hasCompoundNodes(),f=(i?24:8)/l,d=(i?8:2)/l,g=(i?8:2)/l,p=1/0;function b(t,e){if(t.isNode()){if(a)return;a=t,u.push(t)}if(t.isEdge()&&(null==e||e<p))if(r){if(r.pstyle("z-compound-depth").value===t.pstyle("z-compound-depth").value&&r.pstyle("z-compound-depth").value===t.pstyle("z-compound-depth").value)for(var n=0;n<u.length;n++)if(u[n].isEdge()){u[n]=t,r=t,p=null!=e?e:p;break}}else u.push(t),r=t,p=null!=e?e:p}function w(n){var i=n.outerWidth()+2*d,r=n.outerHeight()+2*d,a=i/2,c=r/2,u=n.position();if(u.x-a<=t&&t<=u.x+a&&u.y-c<=e&&e<=u.y+c&&s.nodeShapes[o.getNodeShape(n)].checkPoint(t,e,0,i,r,u.x,u.y))return b(n,0),!0}function y(n){var i,r=n._private,a=r.rscratch,c=n.pstyle("width").pfValue,l=n.pstyle("arrow-scale").value,d=c/2+f,g=d*d,p=2*d,y=r.source,m=r.target;if("segments"===a.edgeType||"straight"===a.edgeType||"haystack"===a.edgeType){for(var v=a.allpts,x=0;x+3<v.length;x+=2)if(qn(t,e,v[x],v[x+1],v[x+2],v[x+3],p)&&g>(i=Gn(t,e,v[x],v[x+1],v[x+2],v[x+3])))return b(n,i),!0}else if("bezier"===a.edgeType||"multibezier"===a.edgeType||"self"===a.edgeType||"compound"===a.edgeType)for(v=a.allpts,x=0;x+5<a.allpts.length;x+=4)if(Hn(t,e,v[x],v[x+1],v[x+2],v[x+3],v[x+4],v[x+5],p)&&g>(i=Yn(t,e,v[x],v[x+1],v[x+2],v[x+3],v[x+4],v[x+5])))return b(n,i),!0;y=y||r.source,m=m||r.target;var k=o.getArrowWidth(c,l),_=[{name:"source",x:a.arrowStartX,y:a.arrowStartY,angle:a.srcArrowAngle},{name:"target",x:a.arrowEndX,y:a.arrowEndY,angle:a.tgtArrowAngle},{name:"mid-source",x:a.midX,y:a.midY,angle:a.midsrcArrowAngle},{name:"mid-target",x:a.midX,y:a.midY,angle:a.midtgtArrowAngle}];for(x=0;x<_.length;x++){var E=_[x],T=s.arrowShapes[n.pstyle(E.name+"-arrow-shape").value],C=n.pstyle("width").pfValue;if(T.roughCollide(t,e,k,E.angle,{x:E.x,y:E.y},C,f)&&T.collide(t,e,k,E.angle,{x:E.x,y:E.y},C,f))return b(n),!0}h&&u.length>0&&(w(y),w(m))}function m(t,e,n){return Re(t,e,n)}function v(n,i){var r,a=n._private,o=g;r=i?i+"-":"",n.boundingBox();var s=a.labelBounds[i||"main"],c=n.pstyle(r+"label").value;if("yes"===n.pstyle("text-events").strValue&&c){var u=m(a.rscratch,"labelX",i),l=m(a.rscratch,"labelY",i),h=m(a.rscratch,"labelAngle",i),f=n.pstyle(r+"text-margin-x").pfValue,d=n.pstyle(r+"text-margin-y").pfValue,p=s.x1-o-f,w=s.x2+o-f,y=s.y1-o-d,v=s.y2+o-d;if(h){var x=Math.cos(h),k=Math.sin(h),_=function(t,e){return{x:(t-=u)*x-(e-=l)*k+u,y:t*k+e*x+l}},E=_(p,y),T=_(p,v),C=_(w,y),S=_(w,v),A=[E.x+f,E.y+d,C.x+f,C.y+d,S.x+f,S.y+d,T.x+f,T.y+d];if(Kn(t,e,A))return b(n),!0}else if(Rn(s,t,e))return b(n),!0}}n&&(c=c.interactive);for(var x=c.length-1;x>=0;x--){var k=c[x];k.isNode()?w(k)||v(k):y(k)||v(k)||v(k,"source")||v(k,"target")}return u},getAllInBox:function(t,e,n,i){for(var r=this.getCachedZSortedEles().interactive,a=[],o=Math.min(t,n),s=Math.max(t,n),c=Math.min(e,i),u=Math.max(e,i),l=Mn({x1:t=o,y1:e=c,x2:n=s,y2:i=u}),h=0;h<r.length;h++){var f=r[h];if(f.isNode()){var d=f,g=d.boundingBox({includeNodes:!0,includeEdges:!1,includeLabels:!1});Fn(l,g)&&!jn(g,l)&&a.push(d)}else{var p=f,b=p._private,w=b.rscratch;if(null!=w.startX&&null!=w.startY&&!Rn(l,w.startX,w.startY))continue;if(null!=w.endX&&null!=w.endY&&!Rn(l,w.endX,w.endY))continue;if("bezier"===w.edgeType||"multibezier"===w.edgeType||"self"===w.edgeType||"compound"===w.edgeType||"segments"===w.edgeType||"haystack"===w.edgeType){for(var y=b.rstyle.bezierPts||b.rstyle.linePts||b.rstyle.haystackPts,m=!0,v=0;v<y.length;v++)if(!$n(l,y[v])){m=!1;break}m&&a.push(p)}else"haystack"!==w.edgeType&&"straight"!==w.edgeType||a.push(p)}}return a}},rh={calculateArrowAngles:function(t){var e,n,i,r,a,o,s=t._private.rscratch,c="haystack"===s.edgeType,u="bezier"===s.edgeType,l="multibezier"===s.edgeType,h="segments"===s.edgeType,f="compound"===s.edgeType,d="self"===s.edgeType;if(c?(i=s.haystackPts[0],r=s.haystackPts[1],a=s.haystackPts[2],o=s.haystackPts[3]):(i=s.arrowStartX,r=s.arrowStartY,a=s.arrowEndX,o=s.arrowEndY),p=s.midX,b=s.midY,h)e=i-s.segpts[0],n=r-s.segpts[1];else if(l||f||d||u){var g=s.allpts;e=i-Tn(g[0],g[2],g[4],.1),n=r-Tn(g[1],g[3],g[5],.1)}else e=i-p,n=r-b;s.srcArrowAngle=mn(e,n);var p=s.midX,b=s.midY;if(c&&(p=(i+a)/2,b=(r+o)/2),e=a-i,n=o-r,h)if((g=s.allpts).length/2%2==0){var w=(y=g.length/2)-2;e=g[y]-g[w],n=g[y+1]-g[w+1]}else{w=(y=g.length/2-1)-2;var y,m=y+2;e=g[y]-g[w],n=g[y+1]-g[w+1]}else if(l||f||d){var v,x,k,_,g=s.allpts;if(s.ctrlpts.length/2%2==0){var E=2+(T=2+(C=g.length/2-1));v=Tn(g[C],g[T],g[E],0),x=Tn(g[C+1],g[T+1],g[E+1],0),k=Tn(g[C],g[T],g[E],1e-4),_=Tn(g[C+1],g[T+1],g[E+1],1e-4)}else{var T,C;E=2+(T=g.length/2-1),v=Tn(g[C=T-2],g[T],g[E],.4999),x=Tn(g[C+1],g[T+1],g[E+1],.4999),k=Tn(g[C],g[T],g[E],.5),_=Tn(g[C+1],g[T+1],g[E+1],.5)}e=k-v,n=_-x}if(s.midtgtArrowAngle=mn(e,n),s.midDispX=e,s.midDispY=n,e*=-1,n*=-1,h&&((g=s.allpts).length/2%2==0||(e=-(g[m=2+(y=g.length/2-1)]-g[y]),n=-(g[m+1]-g[y+1]))),s.midsrcArrowAngle=mn(e,n),h)e=a-s.segpts[s.segpts.length-2],n=o-s.segpts[s.segpts.length-1];else if(l||f||d||u){var S=(g=s.allpts).length;e=a-Tn(g[S-6],g[S-4],g[S-2],.9),n=o-Tn(g[S-5],g[S-3],g[S-1],.9)}else e=a-p,n=o-b;s.tgtArrowAngle=mn(e,n)}};rh.getArrowWidth=rh.getArrowHeight=function(t,e){var n=this.arrowWidthCache=this.arrowWidthCache||{},i=n[t+", "+e];return i||(i=Math.max(Math.pow(13.37*t,.9),29)*e,n[t+", "+e]=i,i)};var ah={};function oh(t){var e=[];if(null!=t){for(var n=0;n<t.length;n+=2){var i=t[n],r=t[n+1];e.push({x:i,y:r})}return e}}ah.findHaystackPoints=function(t){for(var e=0;e<t.length;e++){var n=t[e],i=n._private,r=i.rscratch;if(!r.haystack){var a=2*Math.random()*Math.PI;r.source={x:Math.cos(a),y:Math.sin(a)},a=2*Math.random()*Math.PI,r.target={x:Math.cos(a),y:Math.sin(a)}}var o=i.source,s=i.target,c=o.position(),u=s.position(),l=o.width(),h=s.width(),f=o.height(),d=s.height(),g=n.pstyle("haystack-radius").value/2;r.haystackPts=r.allpts=[r.source.x*l*g+c.x,r.source.y*f*g+c.y,r.target.x*h*g+u.x,r.target.y*d*g+u.y],r.midX=(r.allpts[0]+r.allpts[2])/2,r.midY=(r.allpts[1]+r.allpts[3])/2,r.edgeType="haystack",r.haystack=!0,this.storeEdgeProjections(n),this.calculateArrowAngles(n),this.recalculateEdgeLabelProjections(n),this.calculateLabelAngles(n)}},ah.findSegmentsPoints=function(t,e){var n=t._private.rscratch,i=e.posPts,r=e.intersectionPts,a=e.vectorNormInverse,o=t.pstyle("edge-distances").value,s=t.pstyle("segment-weights"),c=t.pstyle("segment-distances"),u=Math.min(s.pfValue.length,c.pfValue.length);n.edgeType="segments",n.segpts=[];for(var l=0;l<u;l++){var h=s.pfValue[l],f=c.pfValue[l],d=1-h,g=h,p="node-position"===o?i:r,b={x:p.x1*d+p.x2*g,y:p.y1*d+p.y2*g};n.segpts.push(b.x+a.x*f,b.y+a.y*f)}},ah.findLoopPoints=function(t,e,n,i){var r=t._private.rscratch,a=e.dirCounts,o=e.srcPos,s=t.pstyle("control-point-distances"),c=s?s.pfValue[0]:void 0,u=t.pstyle("loop-direction").pfValue,l=t.pstyle("loop-sweep").pfValue,h=t.pstyle("control-point-step-size").pfValue;r.edgeType="self";var f=n,d=h;i&&(f=0,d=c);var g=u-Math.PI/2,p=g-l/2,b=g+l/2,w=String(u+"_"+l);f=void 0===a[w]?a[w]=0:++a[w],r.ctrlpts=[o.x+1.4*Math.cos(p)*d*(f/3+1),o.y+1.4*Math.sin(p)*d*(f/3+1),o.x+1.4*Math.cos(b)*d*(f/3+1),o.y+1.4*Math.sin(b)*d*(f/3+1)]},ah.findCompoundLoopPoints=function(t,e,n,i){var r=t._private.rscratch;r.edgeType="compound";var a=e.srcPos,o=e.tgtPos,s=e.srcW,c=e.srcH,u=e.tgtW,l=e.tgtH,h=t.pstyle("control-point-step-size").pfValue,f=t.pstyle("control-point-distances"),d=f?f.pfValue[0]:void 0,g=n,p=h;i&&(g=0,p=d);var b=50,w={x:a.x-s/2,y:a.y-c/2},y={x:o.x-u/2,y:o.y-l/2},m={x:Math.min(w.x,y.x),y:Math.min(w.y,y.y)},v=.5,x=Math.max(v,Math.log(.01*s)),k=Math.max(v,Math.log(.01*u));r.ctrlpts=[m.x,m.y-(1+Math.pow(b,1.12)/100)*p*(g/3+1)*x,m.x-(1+Math.pow(b,1.12)/100)*p*(g/3+1)*k,m.y]},ah.findStraightEdgePoints=function(t){t._private.rscratch.edgeType="straight"},ah.findBezierPoints=function(t,e,n,i,r){var a=t._private.rscratch,o=e.vectorNormInverse,s=e.posPts,c=e.intersectionPts,u=t.pstyle("edge-distances").value,l=t.pstyle("control-point-step-size").pfValue,h=t.pstyle("control-point-distances"),f=t.pstyle("control-point-weights"),d=h&&f?Math.min(h.value.length,f.value.length):1,g=h?h.pfValue[0]:void 0,p=f.value[0],b=i;a.edgeType=b?"multibezier":"bezier",a.ctrlpts=[];for(var w=0;w<d;w++){var y=(.5-e.eles.length/2+n)*l*(r?-1:1),m=void 0,v=xn(y);b&&(g=h?h.pfValue[w]:l,p=f.value[w]);var x=void 0!==(m=i?g:void 0!==g?v*g:void 0)?m:y,k=1-p,_=p,E="node-position"===u?s:c,T={x:E.x1*k+E.x2*_,y:E.y1*k+E.y2*_};a.ctrlpts.push(T.x+o.x*x,T.y+o.y*x)}},ah.findTaxiPoints=function(t,e){var n=t._private.rscratch;n.edgeType="segments";var i="vertical",r="horizontal",a="leftward",o="rightward",s="downward",c="upward",u="auto",l=e.posPts,h=e.srcW,f=e.srcH,d=e.tgtW,g=e.tgtH,p="node-position"!==t.pstyle("edge-distances").value,b=t.pstyle("taxi-direction").value,w=b,y=t.pstyle("taxi-turn"),m="%"===y.units,v=y.pfValue,x=v<0,k=t.pstyle("taxi-turn-min-distance").pfValue,_=p?(h+d)/2:0,E=p?(f+g)/2:0,T=l.x2-l.x1,C=l.y2-l.y1,S=function(t,e){return t>0?Math.max(t-e,0):Math.min(t+e,0)},A=S(T,_),M=S(C,E),I=!1;w===u?b=Math.abs(A)>Math.abs(M)?r:i:w===c||w===s?(b=i,I=!0):w!==a&&w!==o||(b=r,I=!0);var L,D=b===i,O=D?M:A,N=D?C:T,P=xn(N),B=!1;I&&(m||x)||!(w===s&&N<0||w===c&&N>0||w===a&&N>0||w===o&&N<0)||(O=(P*=-1)*Math.abs(O),B=!0);var F=function(t){return Math.abs(t)<k||Math.abs(t)>=Math.abs(O)},R=F(L=m?(v<0?1+v:v)*O:(v<0?O:0)+v*P),$=F(Math.abs(O)-Math.abs(L));if(!R&&!$||B)if(D){var j=l.y1+L+(p?f/2*P:0),z=l.x1,q=l.x2;n.segpts=[z,j,q,j]}else{var H=l.x1+L+(p?h/2*P:0),Z=l.y1,U=l.y2;n.segpts=[H,Z,H,U]}else if(D){var Y=Math.abs(N)<=f/2,G=Math.abs(T)<=d/2;if(Y){var K=(l.x1+l.x2)/2,W=l.y1,X=l.y2;n.segpts=[K,W,K,X]}else if(G){var V=(l.y1+l.y2)/2,Q=l.x1,J=l.x2;n.segpts=[Q,V,J,V]}else n.segpts=[l.x1,l.y2]}else{var tt=Math.abs(N)<=h/2,et=Math.abs(C)<=g/2;if(tt){var nt=(l.y1+l.y2)/2,it=l.x1,rt=l.x2;n.segpts=[it,nt,rt,nt]}else if(et){var at=(l.x1+l.x2)/2,ot=l.y1,st=l.y2;n.segpts=[at,ot,at,st]}else n.segpts=[l.x2,l.y1]}},ah.tryToCorrectInvalidPoints=function(t,e){var n=t._private.rscratch;if("bezier"===n.edgeType){var i=e.srcPos,r=e.tgtPos,a=e.srcW,o=e.srcH,s=e.tgtW,c=e.tgtH,u=e.srcShape,l=e.tgtShape,h=!E(n.startX)||!E(n.startY),f=!E(n.arrowStartX)||!E(n.arrowStartY),d=!E(n.endX)||!E(n.endY),g=!E(n.arrowEndX)||!E(n.arrowEndY),p=this.getArrowWidth(t.pstyle("width").pfValue,t.pstyle("arrow-scale").value)*this.arrowShapeWidth*3,b=kn({x:n.ctrlpts[0],y:n.ctrlpts[1]},{x:n.startX,y:n.startY}),w=b<p,y=kn({x:n.ctrlpts[0],y:n.ctrlpts[1]},{x:n.endX,y:n.endY}),m=y<p,v=!1;if(h||f||w){v=!0;var x={x:n.ctrlpts[0]-i.x,y:n.ctrlpts[1]-i.y},k=Math.sqrt(x.x*x.x+x.y*x.y),_={x:x.x/k,y:x.y/k},T=Math.max(a,o),C={x:n.ctrlpts[0]+2*_.x*T,y:n.ctrlpts[1]+2*_.y*T},S=u.intersectLine(i.x,i.y,a,o,C.x,C.y,0);w?(n.ctrlpts[0]=n.ctrlpts[0]+_.x*(p-b),n.ctrlpts[1]=n.ctrlpts[1]+_.y*(p-b)):(n.ctrlpts[0]=S[0]+_.x*p,n.ctrlpts[1]=S[1]+_.y*p)}if(d||g||m){v=!0;var A={x:n.ctrlpts[0]-r.x,y:n.ctrlpts[1]-r.y},M=Math.sqrt(A.x*A.x+A.y*A.y),I={x:A.x/M,y:A.y/M},L=Math.max(a,o),D={x:n.ctrlpts[0]+2*I.x*L,y:n.ctrlpts[1]+2*I.y*L},O=l.intersectLine(r.x,r.y,s,c,D.x,D.y,0);m?(n.ctrlpts[0]=n.ctrlpts[0]+I.x*(p-y),n.ctrlpts[1]=n.ctrlpts[1]+I.y*(p-y)):(n.ctrlpts[0]=O[0]+I.x*p,n.ctrlpts[1]=O[1]+I.y*p)}v&&this.findEndpoints(t)}},ah.storeAllpts=function(t){var e=t._private.rscratch;if("multibezier"===e.edgeType||"bezier"===e.edgeType||"self"===e.edgeType||"compound"===e.edgeType){e.allpts=[],e.allpts.push(e.startX,e.startY);for(var n=0;n+1<e.ctrlpts.length;n+=2)e.allpts.push(e.ctrlpts[n],e.ctrlpts[n+1]),n+3<e.ctrlpts.length&&e.allpts.push((e.ctrlpts[n]+e.ctrlpts[n+2])/2,(e.ctrlpts[n+1]+e.ctrlpts[n+3])/2);var i,r;e.allpts.push(e.endX,e.endY),e.ctrlpts.length/2%2==0?(i=e.allpts.length/2-1,e.midX=e.allpts[i],e.midY=e.allpts[i+1]):(i=e.allpts.length/2-3,r=.5,e.midX=Tn(e.allpts[i],e.allpts[i+2],e.allpts[i+4],r),e.midY=Tn(e.allpts[i+1],e.allpts[i+3],e.allpts[i+5],r))}else if("straight"===e.edgeType)e.allpts=[e.startX,e.startY,e.endX,e.endY],e.midX=(e.startX+e.endX+e.arrowStartX+e.arrowEndX)/4,e.midY=(e.startY+e.endY+e.arrowStartY+e.arrowEndY)/4;else if("segments"===e.edgeType)if(e.allpts=[],e.allpts.push(e.startX,e.startY),e.allpts.push.apply(e.allpts,e.segpts),e.allpts.push(e.endX,e.endY),e.segpts.length%4==0){var a=e.segpts.length/2,o=a-2;e.midX=(e.segpts[o]+e.segpts[a])/2,e.midY=(e.segpts[o+1]+e.segpts[a+1])/2}else{var s=e.segpts.length/2-1;e.midX=e.segpts[s],e.midY=e.segpts[s+1]}},ah.checkForInvalidEdgeWarning=function(t){var e=t[0]._private.rscratch;e.nodesOverlap||E(e.startX)&&E(e.startY)&&E(e.endX)&&E(e.endY)?e.loggedErr=!1:e.loggedErr||(e.loggedErr=!0,Se("Edge `"+t.id()+"` has invalid endpoints and so it is impossible to draw.  Adjust your edge style (e.g. control points) accordingly or use an alternative edge type.  This is expected behaviour when the source node and the target node overlap."))},ah.findEdgeControlPoints=function(t){var e=this;if(t&&0!==t.length){for(var n=this,i=n.cy.hasCompoundNodes(),r={map:new ze,get:function(t){var e=this.map.get(t[0]);return null!=e?e.get(t[1]):null},set:function(t,e){var n=this.map.get(t[0]);null==n&&(n=new ze,this.map.set(t[0],n)),n.set(t[1],e)}},a=[],o=[],s=0;s<t.length;s++){var c=t[s],u=c._private,l=c.pstyle("curve-style").value;if(!c.removed()&&c.takesUpSpace())if("haystack"!==l){var h="unbundled-bezier"===l||"segments"===l||"straight"===l||"straight-triangle"===l||"taxi"===l,f="unbundled-bezier"===l||"bezier"===l,d=u.source,g=u.target,p=[d.poolIndex(),g.poolIndex()].sort(),b=r.get(p);null==b&&(b={eles:[]},r.set(p,b),a.push(p)),b.eles.push(c),h&&(b.hasUnbundled=!0),f&&(b.hasBezier=!0)}else o.push(c)}for(var w=function(t){var o=a[t],s=r.get(o),c=void 0;if(!s.hasUnbundled){var u=s.eles[0].parallelEdges().filter((function(t){return t.isBundledBezier()}));Be(s.eles),u.forEach((function(t){return s.eles.push(t)})),s.eles.sort((function(t,e){return t.poolIndex()-e.poolIndex()}))}var l=s.eles[0],h=l.source(),f=l.target();if(h.poolIndex()>f.poolIndex()){var d=h;h=f,f=d}var g=s.srcPos=h.position(),p=s.tgtPos=f.position(),b=s.srcW=h.outerWidth(),w=s.srcH=h.outerHeight(),y=s.tgtW=f.outerWidth(),m=s.tgtH=f.outerHeight(),v=s.srcShape=n.nodeShapes[e.getNodeShape(h)],x=s.tgtShape=n.nodeShapes[e.getNodeShape(f)];s.dirCounts={north:0,west:0,south:0,east:0,northwest:0,southwest:0,northeast:0,southeast:0};for(var k=0;k<s.eles.length;k++){var _=s.eles[k],T=_[0]._private.rscratch,C=_.pstyle("curve-style").value,S="unbundled-bezier"===C||"segments"===C||"taxi"===C,A=!h.same(_.source());if(!s.calculatedIntersection&&h!==f&&(s.hasBezier||s.hasUnbundled)){s.calculatedIntersection=!0;var M=v.intersectLine(g.x,g.y,b,w,p.x,p.y,0),I=s.srcIntn=M,L=x.intersectLine(p.x,p.y,y,m,g.x,g.y,0),D=s.tgtIntn=L,O=s.intersectionPts={x1:M[0],x2:L[0],y1:M[1],y2:L[1]},N=s.posPts={x1:g.x,x2:p.x,y1:g.y,y2:p.y},P=L[1]-M[1],B=L[0]-M[0],F=Math.sqrt(B*B+P*P),R=s.vector={x:B,y:P},$=s.vectorNorm={x:R.x/F,y:R.y/F},j={x:-$.y,y:$.x};s.nodesOverlap=!E(F)||x.checkPoint(M[0],M[1],0,y,m,p.x,p.y)||v.checkPoint(L[0],L[1],0,b,w,g.x,g.y),s.vectorNormInverse=j,c={nodesOverlap:s.nodesOverlap,dirCounts:s.dirCounts,calculatedIntersection:!0,hasBezier:s.hasBezier,hasUnbundled:s.hasUnbundled,eles:s.eles,srcPos:p,tgtPos:g,srcW:y,srcH:m,tgtW:b,tgtH:w,srcIntn:D,tgtIntn:I,srcShape:x,tgtShape:v,posPts:{x1:N.x2,y1:N.y2,x2:N.x1,y2:N.y1},intersectionPts:{x1:O.x2,y1:O.y2,x2:O.x1,y2:O.y1},vector:{x:-R.x,y:-R.y},vectorNorm:{x:-$.x,y:-$.y},vectorNormInverse:{x:-j.x,y:-j.y}}}var z=A?c:s;T.nodesOverlap=z.nodesOverlap,T.srcIntn=z.srcIntn,T.tgtIntn=z.tgtIntn,i&&(h.isParent()||h.isChild()||f.isParent()||f.isChild())&&(h.parents().anySame(f)||f.parents().anySame(h)||h.same(f)&&h.isParent())?e.findCompoundLoopPoints(_,z,k,S):h===f?e.findLoopPoints(_,z,k,S):"segments"===C?e.findSegmentsPoints(_,z):"taxi"===C?e.findTaxiPoints(_,z):"straight"===C||!S&&s.eles.length%2==1&&k===Math.floor(s.eles.length/2)?e.findStraightEdgePoints(_):e.findBezierPoints(_,z,k,S,A),e.findEndpoints(_),e.tryToCorrectInvalidPoints(_,z),e.checkForInvalidEdgeWarning(_),e.storeAllpts(_),e.storeEdgeProjections(_),e.calculateArrowAngles(_),e.recalculateEdgeLabelProjections(_),e.calculateLabelAngles(_)}},y=0;y<a.length;y++)w(y);this.findHaystackPoints(o)}},ah.getSegmentPoints=function(t){var e=t[0]._private.rscratch;if("segments"===e.edgeType)return this.recalculateRenderedStyle(t),oh(e.segpts)},ah.getControlPoints=function(t){var e=t[0]._private.rscratch,n=e.edgeType;if("bezier"===n||"multibezier"===n||"self"===n||"compound"===n)return this.recalculateRenderedStyle(t),oh(e.ctrlpts)},ah.getEdgeMidpoint=function(t){var e=t[0]._private.rscratch;return this.recalculateRenderedStyle(t),{x:e.midX,y:e.midY}};var sh={manualEndptToPx:function(t,e){var n=this,i=t.position(),r=t.outerWidth(),a=t.outerHeight();if(2===e.value.length){var o=[e.pfValue[0],e.pfValue[1]];return"%"===e.units[0]&&(o[0]=o[0]*r),"%"===e.units[1]&&(o[1]=o[1]*a),o[0]+=i.x,o[1]+=i.y,o}var s=e.pfValue[0];s=-Math.PI/2+s;var c=2*Math.max(r,a),u=[i.x+Math.cos(s)*c,i.y+Math.sin(s)*c];return n.nodeShapes[this.getNodeShape(t)].intersectLine(i.x,i.y,r,a,u[0],u[1],0)},findEndpoints:function(t){var e,n,i,r,a,o=this,s=t.source()[0],c=t.target()[0],u=s.position(),l=c.position(),h=t.pstyle("target-arrow-shape").value,f=t.pstyle("source-arrow-shape").value,d=t.pstyle("target-distance-from-node").pfValue,g=t.pstyle("source-distance-from-node").pfValue,p=t.pstyle("curve-style").value,b=t._private.rscratch,w=b.edgeType,y="self"===w||"compound"===w,m="bezier"===w||"multibezier"===w||y,v="bezier"!==w,x="straight"===w||"segments"===w,k="segments"===w,_=m||v||x,T=y||"taxi"===p,C=t.pstyle("source-endpoint"),S=T?"outside-to-node":C.value,A=t.pstyle("target-endpoint"),M=T?"outside-to-node":A.value;if(b.srcManEndpt=C,b.tgtManEndpt=A,m){var I=[b.ctrlpts[0],b.ctrlpts[1]];n=v?[b.ctrlpts[b.ctrlpts.length-2],b.ctrlpts[b.ctrlpts.length-1]]:I,i=I}else if(x){var L=k?b.segpts.slice(0,2):[l.x,l.y];n=k?b.segpts.slice(b.segpts.length-2):[u.x,u.y],i=L}if("inside-to-node"===M)e=[l.x,l.y];else if(A.units)e=this.manualEndptToPx(c,A);else if("outside-to-line"===M)e=b.tgtIntn;else if("outside-to-node"===M||"outside-to-node-or-label"===M?r=n:"outside-to-line"!==M&&"outside-to-line-or-label"!==M||(r=[u.x,u.y]),e=o.nodeShapes[this.getNodeShape(c)].intersectLine(l.x,l.y,c.outerWidth(),c.outerHeight(),r[0],r[1],0),"outside-to-node-or-label"===M||"outside-to-line-or-label"===M){var D=c._private.rscratch,O=D.labelWidth,N=D.labelHeight,P=D.labelX,B=D.labelY,F=O/2,R=N/2,$=c.pstyle("text-valign").value;"top"===$?B-=R:"bottom"===$&&(B+=R);var j=c.pstyle("text-halign").value;"left"===j?P-=F:"right"===j&&(P+=F);var z=ri(r[0],r[1],[P-F,B-R,P+F,B-R,P+F,B+R,P-F,B+R],l.x,l.y);if(z.length>0){var q=u,H=_n(q,dn(e)),Z=_n(q,dn(z)),U=H;Z<H&&(e=z,U=Z),z.length>2&&_n(q,{x:z[2],y:z[3]})<U&&(e=[z[2],z[3]])}}var Y=oi(e,n,o.arrowShapes[h].spacing(t)+d),G=oi(e,n,o.arrowShapes[h].gap(t)+d);if(b.endX=G[0],b.endY=G[1],b.arrowEndX=Y[0],b.arrowEndY=Y[1],"inside-to-node"===S)e=[u.x,u.y];else if(C.units)e=this.manualEndptToPx(s,C);else if("outside-to-line"===S)e=b.srcIntn;else if("outside-to-node"===S||"outside-to-node-or-label"===S?a=i:"outside-to-line"!==S&&"outside-to-line-or-label"!==S||(a=[l.x,l.y]),e=o.nodeShapes[this.getNodeShape(s)].intersectLine(u.x,u.y,s.outerWidth(),s.outerHeight(),a[0],a[1],0),"outside-to-node-or-label"===S||"outside-to-line-or-label"===S){var K=s._private.rscratch,W=K.labelWidth,X=K.labelHeight,V=K.labelX,Q=K.labelY,J=W/2,tt=X/2,et=s.pstyle("text-valign").value;"top"===et?Q-=tt:"bottom"===et&&(Q+=tt);var nt=s.pstyle("text-halign").value;"left"===nt?V-=J:"right"===nt&&(V+=J);var it=ri(a[0],a[1],[V-J,Q-tt,V+J,Q-tt,V+J,Q+tt,V-J,Q+tt],u.x,u.y);if(it.length>0){var rt=l,at=_n(rt,dn(e)),ot=_n(rt,dn(it)),st=at;ot<at&&(e=[it[0],it[1]],st=ot),it.length>2&&_n(rt,{x:it[2],y:it[3]})<st&&(e=[it[2],it[3]])}}var ct=oi(e,i,o.arrowShapes[f].spacing(t)+g),ut=oi(e,i,o.arrowShapes[f].gap(t)+g);b.startX=ut[0],b.startY=ut[1],b.arrowStartX=ct[0],b.arrowStartY=ct[1],_&&(E(b.startX)&&E(b.startY)&&E(b.endX)&&E(b.endY)?b.badLine=!1:b.badLine=!0)},getSourceEndpoint:function(t){var e=t[0]._private.rscratch;return this.recalculateRenderedStyle(t),"haystack"===e.edgeType?{x:e.haystackPts[0],y:e.haystackPts[1]}:{x:e.arrowStartX,y:e.arrowStartY}},getTargetEndpoint:function(t){var e=t[0]._private.rscratch;return this.recalculateRenderedStyle(t),"haystack"===e.edgeType?{x:e.haystackPts[2],y:e.haystackPts[3]}:{x:e.arrowEndX,y:e.arrowEndY}}},ch={};function uh(t,e,n){for(var i=function(t,e,n,i){return Tn(t,e,n,i)},r=e._private.rstyle.bezierPts,a=0;a<t.bezierProjPcts.length;a++){var o=t.bezierProjPcts[a];r.push({x:i(n[0],n[2],n[4],o),y:i(n[1],n[3],n[5],o)})}}ch.storeEdgeProjections=function(t){var e=t._private,n=e.rscratch,i=n.edgeType;if(e.rstyle.bezierPts=null,e.rstyle.linePts=null,e.rstyle.haystackPts=null,"multibezier"===i||"bezier"===i||"self"===i||"compound"===i){e.rstyle.bezierPts=[];for(var r=0;r+5<n.allpts.length;r+=4)uh(this,t,n.allpts.slice(r,r+6))}else if("segments"===i){var a=e.rstyle.linePts=[];for(r=0;r+1<n.allpts.length;r+=2)a.push({x:n.allpts[r],y:n.allpts[r+1]})}else if("haystack"===i){var o=n.haystackPts;e.rstyle.haystackPts=[{x:o[0],y:o[1]},{x:o[2],y:o[3]}]}e.rstyle.arrowWidth=this.getArrowWidth(t.pstyle("width").pfValue,t.pstyle("arrow-scale").value)*this.arrowShapeWidth},ch.recalculateEdgeProjections=function(t){this.findEdgeControlPoints(t)};var lh={recalculateNodeLabelProjection:function(t){var e=t.pstyle("label").strValue;if(!O(e)){var n,i,r=t._private,a=t.width(),o=t.height(),s=t.padding(),c=t.position(),u=t.pstyle("text-halign").strValue,l=t.pstyle("text-valign").strValue,h=r.rscratch,f=r.rstyle;switch(u){case"left":n=c.x-a/2-s;break;case"right":n=c.x+a/2+s;break;default:n=c.x}switch(l){case"top":i=c.y-o/2-s;break;case"bottom":i=c.y+o/2+s;break;default:i=c.y}h.labelX=n,h.labelY=i,f.labelX=n,f.labelY=i,this.calculateLabelAngles(t),this.applyLabelDimensions(t)}}},hh=function(t,e){var n=Math.atan(e/t);return 0===t&&n<0&&(n*=-1),n},fh=function(t,e){var n=e.x-t.x,i=e.y-t.y;return hh(n,i)},dh=function(t,e,n,i){var r=An(0,i-.001,1),a=An(0,i+.001,1),o=Cn(t,e,n,r),s=Cn(t,e,n,a);return fh(o,s)};lh.recalculateEdgeLabelProjections=function(t){var e,n=t._private,i=n.rscratch,r=this,a={mid:t.pstyle("label").strValue,source:t.pstyle("source-label").strValue,target:t.pstyle("target-label").strValue};if(a.mid||a.source||a.target){e={x:i.midX,y:i.midY};var o=function(t,e,i){$e(n.rscratch,t,e,i),$e(n.rstyle,t,e,i)};o("labelX",null,e.x),o("labelY",null,e.y);var s=hh(i.midDispX,i.midDispY);o("labelAutoAngle",null,s);var c=function t(){if(t.cache)return t.cache;for(var e=[],a=0;a+5<i.allpts.length;a+=4){var o={x:i.allpts[a],y:i.allpts[a+1]},s={x:i.allpts[a+2],y:i.allpts[a+3]},c={x:i.allpts[a+4],y:i.allpts[a+5]};e.push({p0:o,p1:s,p2:c,startDist:0,length:0,segments:[]})}var u=n.rstyle.bezierPts,l=r.bezierProjPcts.length;function h(t,e,n,i,r){var a=kn(e,n),o=t.segments[t.segments.length-1],s={p0:e,p1:n,t0:i,t1:r,startDist:o?o.startDist+o.length:0,length:a};t.segments.push(s),t.length+=a}for(var f=0;f<e.length;f++){var d=e[f],g=e[f-1];g&&(d.startDist=g.startDist+g.length),h(d,d.p0,u[f*l],0,r.bezierProjPcts[0]);for(var p=0;p<l-1;p++)h(d,u[f*l+p],u[f*l+p+1],r.bezierProjPcts[p],r.bezierProjPcts[p+1]);h(d,u[f*l+l-1],d.p2,r.bezierProjPcts[l-1],1)}return t.cache=e},u=function(n){var r,s="source"===n;if(a[n]){var u=t.pstyle(n+"-text-offset").pfValue;switch(i.edgeType){case"self":case"compound":case"bezier":case"multibezier":for(var l,h=c(),f=0,d=0,g=0;g<h.length;g++){for(var p=h[s?g:h.length-1-g],b=0;b<p.segments.length;b++){var w=p.segments[s?b:p.segments.length-1-b],y=g===h.length-1&&b===p.segments.length-1;if(f=d,(d+=w.length)>=u||y){l={cp:p,segment:w};break}}if(l)break}var m=l.cp,v=l.segment,x=(u-f)/v.length,k=v.t1-v.t0,_=s?v.t0+k*x:v.t1-k*x;_=An(0,_,1),e=Cn(m.p0,m.p1,m.p2,_),r=dh(m.p0,m.p1,m.p2,_);break;case"straight":case"segments":case"haystack":for(var E,T,C,S,A=0,M=i.allpts.length,I=0;I+3<M&&(s?(C={x:i.allpts[I],y:i.allpts[I+1]},S={x:i.allpts[I+2],y:i.allpts[I+3]}):(C={x:i.allpts[M-2-I],y:i.allpts[M-1-I]},S={x:i.allpts[M-4-I],y:i.allpts[M-3-I]}),T=A,!((A+=E=kn(C,S))>=u));I+=2);var L=(u-T)/E;L=An(0,L,1),e=Sn(C,S,L),r=fh(C,S)}o("labelX",n,e.x),o("labelY",n,e.y),o("labelAutoAngle",n,r)}};u("source"),u("target"),this.applyLabelDimensions(t)}},lh.applyLabelDimensions=function(t){this.applyPrefixedLabelDimensions(t),t.isEdge()&&(this.applyPrefixedLabelDimensions(t,"source"),this.applyPrefixedLabelDimensions(t,"target"))},lh.applyPrefixedLabelDimensions=function(t,e){var n=t._private,i=this.getLabelText(t,e),r=this.calculateLabelDimensions(t,i),a=t.pstyle("line-height").pfValue,o=t.pstyle("text-wrap").strValue,s=Re(n.rscratch,"labelWrapCachedLines",e)||[],c="wrap"!==o?1:Math.max(s.length,1),u=r.height/c,l=u*a,h=r.width,f=r.height+(c-1)*(a-1)*u;$e(n.rstyle,"labelWidth",e,h),$e(n.rscratch,"labelWidth",e,h),$e(n.rstyle,"labelHeight",e,f),$e(n.rscratch,"labelHeight",e,f),$e(n.rscratch,"labelLineHeight",e,l)},lh.getLabelText=function(t,e){var n=t._private,i=e?e+"-":"",r=t.pstyle(i+"label").strValue,a=t.pstyle("text-transform").value,o=function(t,i){return i?($e(n.rscratch,t,e,i),i):Re(n.rscratch,t,e)};if(!r)return"";"none"==a||("uppercase"==a?r=r.toUpperCase():"lowercase"==a&&(r=r.toLowerCase()));var s=t.pstyle("text-wrap").value;if("wrap"===s){var c=o("labelKey");if(null!=c&&o("labelWrapKey")===c)return o("labelWrapCachedText");for(var u="​",l=r.split("\n"),h=t.pstyle("text-max-width").pfValue,f="anywhere"===t.pstyle("text-overflow-wrap").value,d=[],g=/[\s\u200b]+/,p=f?"":" ",b=0;b<l.length;b++){var w=l[b],y=this.calculateLabelDimensions(t,w).width;if(f){var m=w.split("").join(u);w=m}if(y>h){for(var v=w.split(g),x="",k=0;k<v.length;k++){var _=v[k],E=0===x.length?_:x+p+_;this.calculateLabelDimensions(t,E).width<=h?x+=_+p:(x&&d.push(x),x=_+p)}x.match(/^[\s\u200b]+$/)||d.push(x)}else d.push(w)}o("labelWrapCachedLines",d),r=o("labelWrapCachedText",d.join("\n")),o("labelWrapKey",c)}else if("ellipsis"===s){var T=t.pstyle("text-max-width").pfValue,C="",S="…",A=!1;if(this.calculateLabelDimensions(t,r).width<T)return r;for(var M=0;M<r.length&&!(this.calculateLabelDimensions(t,C+r[M]+S).width>T);M++)C+=r[M],M===r.length-1&&(A=!0);return A||(C+=S),C}return r},lh.getLabelJustification=function(t){var e=t.pstyle("text-justification").strValue,n=t.pstyle("text-halign").strValue;if("auto"!==e)return e;if(!t.isNode())return"center";switch(n){case"left":return"right";case"right":return"left";default:return"center"}},lh.calculateLabelDimensions=function(t,e){var n=this,i=ge(e,t._private.labelDimsKey),r=n.labelDimCache||(n.labelDimCache=[]),a=r[i];if(null!=a)return a;var o=0,s=t.pstyle("font-style").strValue,c=t.pstyle("font-size").pfValue,u=t.pstyle("font-family").strValue,l=t.pstyle("font-weight").strValue,h=this.labelCalcCanvas,f=this.labelCalcCanvasContext;if(!h){h=this.labelCalcCanvas=document.createElement("canvas"),f=this.labelCalcCanvasContext=h.getContext("2d");var d=h.style;d.position="absolute",d.left="-9999px",d.top="-9999px",d.zIndex="-1",d.visibility="hidden",d.pointerEvents="none"}f.font="".concat(s," 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a=t.cy,o=t.projectIntoViewport(r.clientX,r.clientY),s=t.selection,c=t.findNearestElement(o[0],o[1],!0,!1),u=t.dragData.possibleDragElements,l=t.hoverData.down,h=i(r);if(t.data.bgActivePosistion&&(t.redrawHint("select",!0),t.redraw()),t.hoverData.tapholdCancelled=!0,t.data.bgActivePosistion=void 0,l&&l.unactivate(),3===t.hoverData.which){var f={originalEvent:r,type:"cxttapend",position:{x:o[0],y:o[1]}};if(l?l.emit(f):a.emit(f),!t.hoverData.cxtDragged){var d={originalEvent:r,type:"cxttap",position:{x:o[0],y:o[1]}};l?l.emit(d):a.emit(d)}t.hoverData.cxtDragged=!1,t.hoverData.which=null}else 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g=a.collection(t.getAllInBox(s[0],s[1],s[2],s[3]));t.redrawHint("select",!0),g.length>0&&t.redrawHint("eles",!0),a.emit({type:"boxend",originalEvent:r,position:{x:o[0],y:o[1]}});var b=function(t){return t.selectable()&&!t.selected()};"additive"===a.selectionType()||h||a.$(e).unmerge(g).unselect(),g.emit("box").stdFilter(b).select().emit("boxselect"),t.redraw()}if(t.hoverData.dragging&&(t.hoverData.dragging=!1,t.redrawHint("select",!0),t.redrawHint("eles",!0),t.redraw()),!s[4]){t.redrawHint("drag",!0),t.redrawHint("eles",!0);var w=l&&l.grabbed();p(u),w&&(l.emit("freeon"),u.emit("free"),t.dragData.didDrag&&(l.emit("dragfreeon"),u.emit("dragfree")))}}s[4]=0,t.hoverData.down=null,t.hoverData.cxtStarted=!1,t.hoverData.draggingEles=!1,t.hoverData.selecting=!1,t.hoverData.isOverThresholdDrag=!1,t.dragData.didDrag=!1,t.hoverData.dragged=!1,t.hoverData.dragDelta=[],t.hoverData.mdownPos=null,t.hoverData.mdownGPos=null}}),!1);var M,I,L,D,O,N,P,B,F,R,$,j,z,q=function(e){if(!t.scrollingPage){var n=t.cy,i=n.zoom(),r=n.pan(),a=t.projectIntoViewport(e.clientX,e.clientY),o=[a[0]*i+r.x,a[1]*i+r.y];if(t.hoverData.draggingEles||t.hoverData.dragging||t.hoverData.cxtStarted||S())e.preventDefault();else if(n.panningEnabled()&&n.userPanningEnabled()&&n.zoomingEnabled()&&n.userZoomingEnabled()){var s;e.preventDefault(),t.data.wheelZooming=!0,clearTimeout(t.data.wheelTimeout),t.data.wheelTimeout=setTimeout((function(){t.data.wheelZooming=!1,t.redrawHint("eles",!0),t.redraw()}),150),s=null!=e.deltaY?e.deltaY/-250:null!=e.wheelDeltaY?e.wheelDeltaY/1e3:e.wheelDelta/1e3,s*=t.wheelSensitivity,1===e.deltaMode&&(s*=33);var c=n.zoom()*Math.pow(10,s);"gesturechange"===e.type&&(c=t.gestureStartZoom*e.scale),n.zoom({level:c,renderedPosition:{x:o[0],y:o[1]}}),n.emit("gesturechange"===e.type?"pinchzoom":"scrollzoom")}}};t.registerBinding(t.container,"wheel",q,!0),t.registerBinding(window,"scroll",(function(e){t.scrollingPage=!0,clearTimeout(t.scrollingPageTimeout),t.scrollingPageTimeout=setTimeout((function(){t.scrollingPage=!1}),250)}),!0),t.registerBinding(t.container,"gesturestart",(function(e){t.gestureStartZoom=t.cy.zoom(),t.hasTouchStarted||e.preventDefault()}),!0),t.registerBinding(t.container,"gesturechange",(function(e){t.hasTouchStarted||q(e)}),!0),t.registerBinding(t.container,"mouseout",(function(e){var n=t.projectIntoViewport(e.clientX,e.clientY);t.cy.emit({originalEvent:e,type:"mouseout",position:{x:n[0],y:n[1]}})}),!1),t.registerBinding(t.container,"mouseover",(function(e){var n=t.projectIntoViewport(e.clientX,e.clientY);t.cy.emit({originalEvent:e,type:"mouseover",position:{x:n[0],y:n[1]}})}),!1);var H,Z,U,Y,G,K,W,X=function(t,e,n,i){return Math.sqrt((n-t)*(n-t)+(i-e)*(i-e))},V=function(t,e,n,i){return(n-t)*(n-t)+(i-e)*(i-e)};if(t.registerBinding(t.container,"touchstart",H=function(e){if(t.hasTouchStarted=!0,A(e)){w(),t.touchData.capture=!0,t.data.bgActivePosistion=void 0;var i=t.cy,r=t.touchData.now,a=t.touchData.earlier;if(e.touches[0]){var o=t.projectIntoViewport(e.touches[0].clientX,e.touches[0].clientY);r[0]=o[0],r[1]=o[1]}if(e.touches[1]&&(o=t.projectIntoViewport(e.touches[1].clientX,e.touches[1].clientY),r[2]=o[0],r[3]=o[1]),e.touches[2]&&(o=t.projectIntoViewport(e.touches[2].clientX,e.touches[2].clientY),r[4]=o[0],r[5]=o[1]),e.touches[1]){t.touchData.singleTouchMoved=!0,p(t.dragData.touchDragEles);var s=t.findContainerClientCoords();F=s[0],R=s[1],$=s[2],j=s[3],M=e.touches[0].clientX-F,I=e.touches[0].clientY-R,L=e.touches[1].clientX-F,D=e.touches[1].clientY-R,z=0<=M&&M<=$&&0<=L&&L<=$&&0<=I&&I<=j&&0<=D&&D<=j;var c=i.pan(),l=i.zoom();O=X(M,I,L,D),N=V(M,I,L,D),B=[((P=[(M+L)/2,(I+D)/2])[0]-c.x)/l,(P[1]-c.y)/l];var h=200;if(N<h*h&&!e.touches[2]){var f=t.findNearestElement(r[0],r[1],!0,!0),b=t.findNearestElement(r[2],r[3],!0,!0);return f&&f.isNode()?(f.activate().emit({originalEvent:e,type:"cxttapstart",position:{x:r[0],y:r[1]}}),t.touchData.start=f):b&&b.isNode()?(b.activate().emit({originalEvent:e,type:"cxttapstart",position:{x:r[0],y:r[1]}}),t.touchData.start=b):i.emit({originalEvent:e,type:"cxttapstart",position:{x:r[0],y:r[1]}}),t.touchData.start&&(t.touchData.start._private.grabbed=!1),t.touchData.cxt=!0,t.touchData.cxtDragged=!1,t.data.bgActivePosistion=void 0,void t.redraw()}}if(e.touches[2])i.boxSelectionEnabled()&&e.preventDefault();else if(e.touches[1]);else if(e.touches[0]){var y=t.findNearestElements(r[0],r[1],!0,!0),m=y[0];if(null!=m&&(m.activate(),t.touchData.start=m,t.touchData.starts=y,t.nodeIsGrabbable(m))){var v=t.dragData.touchDragEles=i.collection(),x=null;t.redrawHint("eles",!0),t.redrawHint("drag",!0),m.selected()?(x=i.$((function(e){return e.selected()&&t.nodeIsGrabbable(e)})),d(x,{addToList:v})):g(m,{addToList:v}),u(m);var k=function(t){return{originalEvent:e,type:t,position:{x:r[0],y:r[1]}}};m.emit(k("grabon")),x?x.forEach((function(t){t.emit(k("grab"))})):m.emit(k("grab"))}n(m,["touchstart","tapstart","vmousedown"],e,{x:r[0],y:r[1]}),null==m&&(t.data.bgActivePosistion={x:o[0],y:o[1]},t.redrawHint("select",!0),t.redraw()),t.touchData.singleTouchMoved=!1,t.touchData.singleTouchStartTime=+new Date,clearTimeout(t.touchData.tapholdTimeout),t.touchData.tapholdTimeout=setTimeout((function(){!1!==t.touchData.singleTouchMoved||t.pinching||t.touchData.selecting||n(t.touchData.start,["taphold"],e,{x:r[0],y:r[1]})}),t.tapholdDuration)}if(e.touches.length>=1){for(var _=t.touchData.startPosition=[],E=0;E<r.length;E++)_[E]=a[E]=r[E];var T=e.touches[0];t.touchData.startGPosition=[T.clientX,T.clientY]}}},!1),t.registerBinding(window,"touchmove",Z=function(e){var i=t.touchData.capture;if(i||A(e)){var a=t.selection,o=t.cy,s=t.touchData.now,c=t.touchData.earlier,u=o.zoom();if(e.touches[0]){var l=t.projectIntoViewport(e.touches[0].clientX,e.touches[0].clientY);s[0]=l[0],s[1]=l[1]}e.touches[1]&&(l=t.projectIntoViewport(e.touches[1].clientX,e.touches[1].clientY),s[2]=l[0],s[3]=l[1]),e.touches[2]&&(l=t.projectIntoViewport(e.touches[2].clientX,e.touches[2].clientY),s[4]=l[0],s[5]=l[1]);var h,f=t.touchData.startGPosition;if(i&&e.touches[0]&&f){for(var g=[],b=0;b<s.length;b++)g[b]=s[b]-c[b];var w=e.touches[0].clientX-f[0],y=w*w,m=e.touches[0].clientY-f[1];h=y+m*m>=t.touchTapThreshold2}if(i&&t.touchData.cxt){e.preventDefault();var v=e.touches[0].clientX-F,x=e.touches[0].clientY-R,k=e.touches[1].clientX-F,_=e.touches[1].clientY-R,T=V(v,x,k,_),C=150,S=1.5;if(T/N>=S*S||T>=C*C){t.touchData.cxt=!1,t.data.bgActivePosistion=void 0,t.redrawHint("select",!0);var P={originalEvent:e,type:"cxttapend",position:{x:s[0],y:s[1]}};t.touchData.start?(t.touchData.start.unactivate().emit(P),t.touchData.start=null):o.emit(P)}}if(i&&t.touchData.cxt){P={originalEvent:e,type:"cxtdrag",position:{x:s[0],y:s[1]}},t.data.bgActivePosistion=void 0,t.redrawHint("select",!0),t.touchData.start?t.touchData.start.emit(P):o.emit(P),t.touchData.start&&(t.touchData.start._private.grabbed=!1),t.touchData.cxtDragged=!0;var $=t.findNearestElement(s[0],s[1],!0,!0);t.touchData.cxtOver&&$===t.touchData.cxtOver||(t.touchData.cxtOver&&t.touchData.cxtOver.emit({originalEvent:e,type:"cxtdragout",position:{x:s[0],y:s[1]}}),t.touchData.cxtOver=$,$&&$.emit({originalEvent:e,type:"cxtdragover",position:{x:s[0],y:s[1]}}))}else if(i&&e.touches[2]&&o.boxSelectionEnabled())e.preventDefault(),t.data.bgActivePosistion=void 0,this.lastThreeTouch=+new Date,t.touchData.selecting||o.emit({originalEvent:e,type:"boxstart",position:{x:s[0],y:s[1]}}),t.touchData.selecting=!0,t.touchData.didSelect=!0,a[4]=1,a&&0!==a.length&&void 0!==a[0]?(a[2]=(s[0]+s[2]+s[4])/3,a[3]=(s[1]+s[3]+s[5])/3):(a[0]=(s[0]+s[2]+s[4])/3,a[1]=(s[1]+s[3]+s[5])/3,a[2]=(s[0]+s[2]+s[4])/3+1,a[3]=(s[1]+s[3]+s[5])/3+1),t.redrawHint("select",!0),t.redraw();else if(i&&e.touches[1]&&!t.touchData.didSelect&&o.zoomingEnabled()&&o.panningEnabled()&&o.userZoomingEnabled()&&o.userPanningEnabled()){if(e.preventDefault(),t.data.bgActivePosistion=void 0,t.redrawHint("select",!0),nt=t.dragData.touchDragEles){t.redrawHint("drag",!0);for(var j=0;j<nt.length;j++){var q=nt[j]._private;q.grabbed=!1,q.rscratch.inDragLayer=!1}}var H=t.touchData.start,Z=(v=e.touches[0].clientX-F,x=e.touches[0].clientY-R,k=e.touches[1].clientX-F,_=e.touches[1].clientY-R,X(v,x,k,_)),U=Z/O;if(z){var Y=(v-M+(k-L))/2,G=(x-I+(_-D))/2,K=o.zoom(),W=K*U,Q=o.pan(),J=B[0]*K+Q.x,tt=B[1]*K+Q.y,et={x:-W/K*(J-Q.x-Y)+J,y:-W/K*(tt-Q.y-G)+tt};if(H&&H.active()){var nt=t.dragData.touchDragEles;p(nt),t.redrawHint("drag",!0),t.redrawHint("eles",!0),H.unactivate().emit("freeon"),nt.emit("free"),t.dragData.didDrag&&(H.emit("dragfreeon"),nt.emit("dragfree"))}o.viewport({zoom:W,pan:et,cancelOnFailedZoom:!0}),o.emit("pinchzoom"),O=Z,M=v,I=x,L=k,D=_,t.pinching=!0}e.touches[0]&&(l=t.projectIntoViewport(e.touches[0].clientX,e.touches[0].clientY),s[0]=l[0],s[1]=l[1]),e.touches[1]&&(l=t.projectIntoViewport(e.touches[1].clientX,e.touches[1].clientY),s[2]=l[0],s[3]=l[1]),e.touches[2]&&(l=t.projectIntoViewport(e.touches[2].clientX,e.touches[2].clientY),s[4]=l[0],s[5]=l[1])}else if(e.touches[0]&&!t.touchData.didSelect){var it=t.touchData.start,rt=t.touchData.last;if(t.hoverData.draggingEles||t.swipePanning||($=t.findNearestElement(s[0],s[1],!0,!0)),i&&null!=it&&e.preventDefault(),i&&null!=it&&t.nodeIsDraggable(it))if(h){nt=t.dragData.touchDragEles;var at=!t.dragData.didDrag;at&&d(nt,{inDragLayer:!0}),t.dragData.didDrag=!0;var ot={x:0,y:0};E(g[0])&&E(g[1])&&(ot.x+=g[0],ot.y+=g[1],at&&(t.redrawHint("eles",!0),(st=t.touchData.dragDelta)&&E(st[0])&&E(st[1])&&(ot.x+=st[0],ot.y+=st[1]))),t.hoverData.draggingEles=!0,nt.silentShift(ot).emit("position drag"),t.redrawHint("drag",!0),t.touchData.startPosition[0]==c[0]&&t.touchData.startPosition[1]==c[1]&&t.redrawHint("eles",!0),t.redraw()}else{var st;0===(st=t.touchData.dragDelta=t.touchData.dragDelta||[]).length?(st.push(g[0]),st.push(g[1])):(st[0]+=g[0],st[1]+=g[1])}if(n(it||$,["touchmove","tapdrag","vmousemove"],e,{x:s[0],y:s[1]}),it&&it.grabbed()||$==rt||(rt&&rt.emit({originalEvent:e,type:"tapdragout",position:{x:s[0],y:s[1]}}),$&&$.emit({originalEvent:e,type:"tapdragover",position:{x:s[0],y:s[1]}})),t.touchData.last=$,i)for(j=0;j<s.length;j++)s[j]&&t.touchData.startPosition[j]&&h&&(t.touchData.singleTouchMoved=!0);i&&(null==it||it.pannable())&&o.panningEnabled()&&o.userPanningEnabled()&&(r(it,t.touchData.starts)&&(e.preventDefault(),t.data.bgActivePosistion||(t.data.bgActivePosistion=dn(t.touchData.startPosition)),t.swipePanning?(o.panBy({x:g[0]*u,y:g[1]*u}),o.emit("dragpan")):h&&(t.swipePanning=!0,o.panBy({x:w*u,y:m*u}),o.emit("dragpan"),it&&(it.unactivate(),t.redrawHint("select",!0),t.touchData.start=null))),l=t.projectIntoViewport(e.touches[0].clientX,e.touches[0].clientY),s[0]=l[0],s[1]=l[1])}for(b=0;b<s.length;b++)c[b]=s[b];i&&e.touches.length>0&&!t.hoverData.draggingEles&&!t.swipePanning&&null!=t.data.bgActivePosistion&&(t.data.bgActivePosistion=void 0,t.redrawHint("select",!0),t.redraw())}},!1),t.registerBinding(window,"touchcancel",U=function(e){var n=t.touchData.start;t.touchData.capture=!1,n&&n.unactivate()}),t.registerBinding(window,"touchend",Y=function(i){var r=t.touchData.start;if(t.touchData.capture){0===i.touches.length&&(t.touchData.capture=!1),i.preventDefault();var a=t.selection;t.swipePanning=!1,t.hoverData.draggingEles=!1;var o,s=t.cy,c=s.zoom(),u=t.touchData.now,l=t.touchData.earlier;if(i.touches[0]){var h=t.projectIntoViewport(i.touches[0].clientX,i.touches[0].clientY);u[0]=h[0],u[1]=h[1]}if(i.touches[1]&&(h=t.projectIntoViewport(i.touches[1].clientX,i.touches[1].clientY),u[2]=h[0],u[3]=h[1]),i.touches[2]&&(h=t.projectIntoViewport(i.touches[2].clientX,i.touches[2].clientY),u[4]=h[0],u[5]=h[1]),r&&r.unactivate(),t.touchData.cxt){if(o={originalEvent:i,type:"cxttapend",position:{x:u[0],y:u[1]}},r?r.emit(o):s.emit(o),!t.touchData.cxtDragged){var f={originalEvent:i,type:"cxttap",position:{x:u[0],y:u[1]}};r?r.emit(f):s.emit(f)}return t.touchData.start&&(t.touchData.start._private.grabbed=!1),t.touchData.cxt=!1,t.touchData.start=null,void t.redraw()}if(!i.touches[2]&&s.boxSelectionEnabled()&&t.touchData.selecting){t.touchData.selecting=!1;var d=s.collection(t.getAllInBox(a[0],a[1],a[2],a[3]));a[0]=void 0,a[1]=void 0,a[2]=void 0,a[3]=void 0,a[4]=0,t.redrawHint("select",!0),s.emit({type:"boxend",originalEvent:i,position:{x:u[0],y:u[1]}});var g=function(t){return t.selectable()&&!t.selected()};d.emit("box").stdFilter(g).select().emit("boxselect"),d.nonempty()&&t.redrawHint("eles",!0),t.redraw()}if(null!=r&&r.unactivate(),i.touches[2])t.data.bgActivePosistion=void 0,t.redrawHint("select",!0);else if(i.touches[1]);else if(i.touches[0]);else if(!i.touches[0]){t.data.bgActivePosistion=void 0,t.redrawHint("select",!0);var b=t.dragData.touchDragEles;if(null!=r){var w=r._private.grabbed;p(b),t.redrawHint("drag",!0),t.redrawHint("eles",!0),w&&(r.emit("freeon"),b.emit("free"),t.dragData.didDrag&&(r.emit("dragfreeon"),b.emit("dragfree"))),n(r,["touchend","tapend","vmouseup","tapdragout"],i,{x:u[0],y:u[1]}),r.unactivate(),t.touchData.start=null}else{var y=t.findNearestElement(u[0],u[1],!0,!0);n(y,["touchend","tapend","vmouseup","tapdragout"],i,{x:u[0],y:u[1]})}var m=t.touchData.startPosition[0]-u[0],v=m*m,x=t.touchData.startPosition[1]-u[1],k=(v+x*x)*c*c;t.touchData.singleTouchMoved||(r||s.$(":selected").unselect(["tapunselect"]),n(r,["tap","vclick"],i,{x:u[0],y:u[1]}),G=!1,i.timeStamp-W<=s.multiClickDebounceTime()?(K&&clearTimeout(K),G=!0,W=null,n(r,["dbltap","vdblclick"],i,{x:u[0],y:u[1]})):(K=setTimeout((function(){G||n(r,["onetap","voneclick"],i,{x:u[0],y:u[1]})}),s.multiClickDebounceTime()),W=i.timeStamp)),null!=r&&!t.dragData.didDrag&&r._private.selectable&&k<t.touchTapThreshold2&&!t.pinching&&("single"===s.selectionType()?(s.$(e).unmerge(r).unselect(["tapunselect"]),r.select(["tapselect"])):r.selected()?r.unselect(["tapunselect"]):r.select(["tapselect"]),t.redrawHint("eles",!0)),t.touchData.singleTouchMoved=!0}for(var _=0;_<u.length;_++)l[_]=u[_];t.dragData.didDrag=!1,0===i.touches.length&&(t.touchData.dragDelta=[],t.touchData.startPosition=null,t.touchData.startGPosition=null,t.touchData.didSelect=!1),i.touches.length<2&&(1===i.touches.length&&(t.touchData.startGPosition=[i.touches[0].clientX,i.touches[0].clientY]),t.pinching=!1,t.redrawHint("eles",!0),t.redraw())}},!1),"undefined"==typeof TouchEvent){var Q=[],J=function(t){return{clientX:t.clientX,clientY:t.clientY,force:1,identifier:t.pointerId,pageX:t.pageX,pageY:t.pageY,radiusX:t.width/2,radiusY:t.height/2,screenX:t.screenX,screenY:t.screenY,target:t.target}},tt=function(t){return{event:t,touch:J(t)}},et=function(t){Q.push(tt(t))},nt=function(t){for(var e=0;e<Q.length;e++)if(Q[e].event.pointerId===t.pointerId)return void Q.splice(e,1)},it=function(t){var e=Q.filter((function(e){return e.event.pointerId===t.pointerId}))[0];e.event=t,e.touch=J(t)},rt=function(t){t.touches=Q.map((function(t){return t.touch}))},at=function(t){return"mouse"===t.pointerType||4===t.pointerType};t.registerBinding(t.container,"pointerdown",(function(t){at(t)||(t.preventDefault(),et(t),rt(t),H(t))})),t.registerBinding(t.container,"pointerup",(function(t){at(t)||(nt(t),rt(t),Y(t))})),t.registerBinding(t.container,"pointercancel",(function(t){at(t)||(nt(t),rt(t),U(t))})),t.registerBinding(t.container,"pointermove",(function(t){at(t)||(t.preventDefault(),it(t),rt(t),Z(t))}))}}},kh={generatePolygon:function(t,e){return this.nodeShapes[t]={renderer:this,name:t,points:e,draw:function(t,e,n,i,r){this.renderer.nodeShapeImpl("polygon",t,e,n,i,r,this.points)},intersectLine:function(t,e,n,i,r,a,o){return ri(r,a,this.points,t,e,n/2,i/2,o)},checkPoint:function(t,e,n,i,r,a,o){return Wn(t,e,this.points,a,o,i,r,[0,-1],n)}}},generateEllipse:function(){return this.nodeShapes.ellipse={renderer:this,name:"ellipse",draw:function(t,e,n,i,r){this.renderer.nodeShapeImpl(this.name,t,e,n,i,r)},intersectLine:function(t,e,n,i,r,a,o){return Jn(r,a,t,e,n/2+o,i/2+o)},checkPoint:function(t,e,n,i,r,a,o){return ti(t,e,i,r,a,o,n)}}},generateRoundPolygon:function(t,e){for(var n=new Array(2*e.length),i=0;i<e.length/2;i++){var r=2*i,a=void 0;a=i<e.length/2-1?2*(i+1):0,n[4*i]=e[r],n[4*i+1]=e[r+1];var o=e[a]-e[r],s=e[a+1]-e[r+1],c=Math.sqrt(o*o+s*s);n[4*i+2]=o/c,n[4*i+3]=s/c}return this.nodeShapes[t]={renderer:this,name:t,points:n,draw:function(t,e,n,i,r){this.renderer.nodeShapeImpl("round-polygon",t,e,n,i,r,this.points)},intersectLine:function(t,e,n,i,r,a,o){return ai(r,a,this.points,t,e,n,i)},checkPoint:function(t,e,n,i,r,a,o){return Xn(t,e,this.points,a,o,i,r)}}},generateRoundRectangle:function(){return this.nodeShapes["round-rectangle"]=this.nodeShapes.roundrectangle={renderer:this,name:"round-rectangle",points:si(4,0),draw:function(t,e,n,i,r){this.renderer.nodeShapeImpl(this.name,t,e,n,i,r)},intersectLine:function(t,e,n,i,r,a,o){return zn(r,a,t,e,n,i,o)},checkPoint:function(t,e,n,i,r,a,o){var s=li(i,r),c=2*s;return!!(Wn(t,e,this.points,a,o,i,r-c,[0,-1],n)||Wn(t,e,this.points,a,o,i-c,r,[0,-1],n)||ti(t,e,c,c,a-i/2+s,o-r/2+s,n)||ti(t,e,c,c,a+i/2-s,o-r/2+s,n)||ti(t,e,c,c,a+i/2-s,o+r/2-s,n)||ti(t,e,c,c,a-i/2+s,o+r/2-s,n))}}},generateCutRectangle:function(){return this.nodeShapes["cut-rectangle"]=this.nodeShapes.cutrectangle={renderer:this,name:"cut-rectangle",cornerLength:fi(),points:si(4,0),draw:function(t,e,n,i,r){this.renderer.nodeShapeImpl(this.name,t,e,n,i,r)},generateCutTrianglePts:function(t,e,n,i){var r=this.cornerLength,a=e/2,o=t/2,s=n-o,c=n+o,u=i-a,l=i+a;return{topLeft:[s,u+r,s+r,u,s+r,u+r],topRight:[c-r,u,c,u+r,c-r,u+r],bottomRight:[c,l-r,c-r,l,c-r,l-r],bottomLeft:[s+r,l,s,l-r,s+r,l-r]}},intersectLine:function(t,e,n,i,r,a,o){var s=this.generateCutTrianglePts(n+2*o,i+2*o,t,e),c=[].concat.apply([],[s.topLeft.splice(0,4),s.topRight.splice(0,4),s.bottomRight.splice(0,4),s.bottomLeft.splice(0,4)]);return ri(r,a,c,t,e)},checkPoint:function(t,e,n,i,r,a,o){if(Wn(t,e,this.points,a,o,i,r-2*this.cornerLength,[0,-1],n))return!0;if(Wn(t,e,this.points,a,o,i-2*this.cornerLength,r,[0,-1],n))return!0;var s=this.generateCutTrianglePts(i,r,a,o);return Kn(t,e,s.topLeft)||Kn(t,e,s.topRight)||Kn(t,e,s.bottomRight)||Kn(t,e,s.bottomLeft)}}},generateBarrel:function(){return this.nodeShapes.barrel={renderer:this,name:"barrel",points:si(4,0),draw:function(t,e,n,i,r){this.renderer.nodeShapeImpl(this.name,t,e,n,i,r)},intersectLine:function(t,e,n,i,r,a,o){var s=.15,c=.5,u=.85,l=this.generateBarrelBezierPts(n+2*o,i+2*o,t,e),h=function(t){var e=Cn({x:t[0],y:t[1]},{x:t[2],y:t[3]},{x:t[4],y:t[5]},s),n=Cn({x:t[0],y:t[1]},{x:t[2],y:t[3]},{x:t[4],y:t[5]},c),i=Cn({x:t[0],y:t[1]},{x:t[2],y:t[3]},{x:t[4],y:t[5]},u);return[t[0],t[1],e.x,e.y,n.x,n.y,i.x,i.y,t[4],t[5]]},f=[].concat(h(l.topLeft),h(l.topRight),h(l.bottomRight),h(l.bottomLeft));return ri(r,a,f,t,e)},generateBarrelBezierPts:function(t,e,n,i){var r=e/2,a=t/2,o=n-a,s=n+a,c=i-r,u=i+r,l=gi(t,e),h=l.heightOffset,f=l.widthOffset,d=l.ctrlPtOffsetPct*t,g={topLeft:[o,c+h,o+d,c,o+f,c],topRight:[s-f,c,s-d,c,s,c+h],bottomRight:[s,u-h,s-d,u,s-f,u],bottomLeft:[o+f,u,o+d,u,o,u-h]};return g.topLeft.isTop=!0,g.topRight.isTop=!0,g.bottomLeft.isBottom=!0,g.bottomRight.isBottom=!0,g},checkPoint:function(t,e,n,i,r,a,o){var s=gi(i,r),c=s.heightOffset,u=s.widthOffset;if(Wn(t,e,this.points,a,o,i,r-2*c,[0,-1],n))return!0;if(Wn(t,e,this.points,a,o,i-2*u,r,[0,-1],n))return!0;for(var l=this.generateBarrelBezierPts(i,r,a,o),h=function(t,e,n){var i=n[4],r=n[2],a=n[0],o=n[5],s=n[1],c=Math.min(i,a),u=Math.max(i,a),l=Math.min(o,s),h=Math.max(o,s);if(c<=t&&t<=u&&l<=e&&e<=h){var f=di(i,r,a),d=Zn(f[0],f[1],f[2],t).filter((function(t){return 0<=t&&t<=1}));if(d.length>0)return d[0]}return null},f=Object.keys(l),d=0;d<f.length;d++){var g=l[f[d]],p=h(t,e,g);if(null!=p){var b=g[5],w=g[3],y=g[1],m=Tn(b,w,y,p);if(g.isTop&&m<=e)return!0;if(g.isBottom&&e<=m)return!0}}return!1}}},generateBottomRoundrectangle:function(){return this.nodeShapes["bottom-round-rectangle"]=this.nodeShapes.bottomroundrectangle={renderer:this,name:"bottom-round-rectangle",points:si(4,0),draw:function(t,e,n,i,r){this.renderer.nodeShapeImpl(this.name,t,e,n,i,r)},intersectLine:function(t,e,n,i,r,a,o){var s=e-(i/2+o),c=ii(r,a,t,e,t-(n/2+o),s,t+(n/2+o),s,!1);return c.length>0?c:zn(r,a,t,e,n,i,o)},checkPoint:function(t,e,n,i,r,a,o){var s=li(i,r),c=2*s;if(Wn(t,e,this.points,a,o,i,r-c,[0,-1],n))return!0;if(Wn(t,e,this.points,a,o,i-c,r,[0,-1],n))return!0;var u=i/2+2*n,l=r/2+2*n;return!!Kn(t,e,[a-u,o-l,a-u,o,a+u,o,a+u,o-l])||!!ti(t,e,c,c,a+i/2-s,o+r/2-s,n)||!!ti(t,e,c,c,a-i/2+s,o+r/2-s,n)}}},registerNodeShapes:function(){var t=this.nodeShapes={},e=this;this.generateEllipse(),this.generatePolygon("triangle",si(3,0)),this.generateRoundPolygon("round-triangle",si(3,0)),this.generatePolygon("rectangle",si(4,0)),t.square=t.rectangle,this.generateRoundRectangle(),this.generateCutRectangle(),this.generateBarrel(),this.generateBottomRoundrectangle();var n=[0,1,1,0,0,-1,-1,0];this.generatePolygon("diamond",n),this.generateRoundPolygon("round-diamond",n),this.generatePolygon("pentagon",si(5,0)),this.generateRoundPolygon("round-pentagon",si(5,0)),this.generatePolygon("hexagon",si(6,0)),this.generateRoundPolygon("round-hexagon",si(6,0)),this.generatePolygon("heptagon",si(7,0)),this.generateRoundPolygon("round-heptagon",si(7,0)),this.generatePolygon("octagon",si(8,0)),this.generateRoundPolygon("round-octagon",si(8,0));var i=new Array(20),r=ui(5,0),a=ui(5,Math.PI/5),o=.5*(3-Math.sqrt(5));o*=1.57;for(var s=0;s<a.length/2;s++)a[2*s]*=o,a[2*s+1]*=o;for(s=0;s<5;s++)i[4*s]=r[2*s],i[4*s+1]=r[2*s+1],i[4*s+2]=a[2*s],i[4*s+3]=a[2*s+1];i=ci(i),this.generatePolygon("star",i),this.generatePolygon("vee",[-1,-1,0,-.333,1,-1,0,1]),this.generatePolygon("rhomboid",[-1,-1,.333,-1,1,1,-.333,1]),this.nodeShapes.concavehexagon=this.generatePolygon("concave-hexagon",[-1,-.95,-.75,0,-1,.95,1,.95,.75,0,1,-.95]);var c=[-1,-1,.25,-1,1,0,.25,1,-1,1];this.generatePolygon("tag",c),this.generateRoundPolygon("round-tag",c),t.makePolygon=function(t){var n,i="polygon-"+t.join("$");return(n=this[i])?n:e.generatePolygon(i,t)}}},_h={timeToRender:function(){return this.redrawTotalTime/this.redrawCount},redraw:function(t){t=t||Oe();var e=this;void 0===e.averageRedrawTime&&(e.averageRedrawTime=0),void 0===e.lastRedrawTime&&(e.lastRedrawTime=0),void 0===e.lastDrawTime&&(e.lastDrawTime=0),e.requestedFrame=!0,e.renderOptions=t},beforeRender:function(t,e){if(!this.destroyed){null==e&&Te("Priority is not optional for beforeRender");var n=this.beforeRenderCallbacks;n.push({fn:t,priority:e}),n.sort((function(t,e){return e.priority-t.priority}))}}},Eh=function(t,e,n){for(var i=t.beforeRenderCallbacks,r=0;r<i.length;r++)i[r].fn(e,n)};_h.startRenderLoop=function(){var t=this,e=t.cy;if(!t.renderLoopStarted){t.renderLoopStarted=!0;var n=function n(i){if(!t.destroyed){if(e.batching());else if(t.requestedFrame&&!t.skipFrame){Eh(t,!0,i);var r=ie();t.render(t.renderOptions);var a=t.lastDrawTime=ie();void 0===t.averageRedrawTime&&(t.averageRedrawTime=a-r),void 0===t.redrawCount&&(t.redrawCount=0),t.redrawCount++,void 0===t.redrawTotalTime&&(t.redrawTotalTime=0);var o=a-r;t.redrawTotalTime+=o,t.lastRedrawTime=o,t.averageRedrawTime=t.averageRedrawTime/2+o/2,t.requestedFrame=!1}else Eh(t,!1,i);t.skipFrame=!1,ne(n)}};ne(n)}};var Th=function(t){this.init(t)},Ch=Th.prototype;Ch.clientFunctions=["redrawHint","render","renderTo","matchCanvasSize","nodeShapeImpl","arrowShapeImpl"],Ch.init=function(t){var e=this;e.options=t,e.cy=t.cy;var n=e.container=t.cy.container();if(f){var i=f.document,r=i.head,a="__________cytoscape_stylesheet",o="__________cytoscape_container",s=null!=i.getElementById(a);if(n.className.indexOf(o)<0&&(n.className=(n.className||"")+" "+o),!s){var c=i.createElement("style");c.id=a,c.innerHTML="."+o+" { position: relative; }",r.insertBefore(c,r.children[0])}"static"===f.getComputedStyle(n).getPropertyValue("position")&&Se("A Cytoscape container has style position:static and so can not use UI extensions properly")}e.selection=[void 0,void 0,void 0,void 0,0],e.bezierProjPcts=[.05,.225,.4,.5,.6,.775,.95],e.hoverData={down:null,last:null,downTime:null,triggerMode:null,dragging:!1,initialPan:[null,null],capture:!1},e.dragData={possibleDragElements:[]},e.touchData={start:null,capture:!1,startPosition:[null,null,null,null,null,null],singleTouchStartTime:null,singleTouchMoved:!0,now:[null,null,null,null,null,null],earlier:[null,null,null,null,null,null]},e.redraws=0,e.showFps=t.showFps,e.debug=t.debug,e.hideEdgesOnViewport=t.hideEdgesOnViewport,e.textureOnViewport=t.textureOnViewport,e.wheelSensitivity=t.wheelSensitivity,e.motionBlurEnabled=t.motionBlur,e.forcedPixelRatio=E(t.pixelRatio)?t.pixelRatio:null,e.motionBlur=t.motionBlur,e.motionBlurOpacity=t.motionBlurOpacity,e.motionBlurTransparency=1-e.motionBlurOpacity,e.motionBlurPxRatio=1,e.mbPxRBlurry=1,e.minMbLowQualFrames=4,e.fullQualityMb=!1,e.clearedForMotionBlur=[],e.desktopTapThreshold=t.desktopTapThreshold,e.desktopTapThreshold2=t.desktopTapThreshold*t.desktopTapThreshold,e.touchTapThreshold=t.touchTapThreshold,e.touchTapThreshold2=t.touchTapThreshold*t.touchTapThreshold,e.tapholdDuration=500,e.bindings=[],e.beforeRenderCallbacks=[],e.beforeRenderPriorities={animations:400,eleCalcs:300,eleTxrDeq:200,lyrTxrDeq:150,lyrTxrSkip:100},e.registerNodeShapes(),e.registerArrowShapes(),e.registerCalculationListeners()},Ch.notify=function(t,e){var n=this,i=n.cy;this.destroyed||("init"!==t?"destroy"!==t?(("add"===t||"remove"===t||"move"===t&&i.hasCompoundNodes()||"load"===t||"zorder"===t||"mount"===t)&&n.invalidateCachedZSortedEles(),"viewport"===t&&n.redrawHint("select",!0),"load"!==t&&"resize"!==t&&"mount"!==t||(n.invalidateContainerClientCoordsCache(),n.matchCanvasSize(n.container)),n.redrawHint("eles",!0),n.redrawHint("drag",!0),this.startRenderLoop(),this.redraw()):n.destroy():n.load())},Ch.destroy=function(){var t=this;t.destroyed=!0,t.cy.stopAnimationLoop();for(var e=0;e<t.bindings.length;e++){var n=t.bindings[e],i=n.target;(i.off||i.removeEventListener).apply(i,n.args)}if(t.bindings=[],t.beforeRenderCallbacks=[],t.onUpdateEleCalcsFns=[],t.removeObserver&&t.removeObserver.disconnect(),t.styleObserver&&t.styleObserver.disconnect(),t.resizeObserver&&t.resizeObserver.disconnect(),t.labelCalcDiv)try{document.body.removeChild(t.labelCalcDiv)}catch(t){}},Ch.isHeadless=function(){return!1},[nh,mh,vh,xh,kh,_h].forEach((function(t){Q(Ch,t)}));var Sh=1e3/60,Ah={setupDequeueing:function(t){return function(){var e=this,n=this.renderer;if(!e.dequeueingSetup){e.dequeueingSetup=!0;var i=Qt((function(){n.redrawHint("eles",!0),n.redrawHint("drag",!0),n.redraw()}),t.deqRedrawThreshold),r=function(r,a){var o=ie(),s=n.averageRedrawTime,c=n.lastRedrawTime,u=[],l=n.cy.extent(),h=n.getPixelRatio();for(r||n.flushRenderedStyleQueue();;){var f=ie(),d=f-o,g=f-a;if(c<Sh){var p=Sh-(r?s:0);if(g>=t.deqFastCost*p)break}else if(r){if(d>=t.deqCost*c||d>=t.deqAvgCost*s)break}else if(g>=t.deqNoDrawCost*Sh)break;var b=t.deq(e,h,l);if(!(b.length>0))break;for(var w=0;w<b.length;w++)u.push(b[w])}u.length>0&&(t.onDeqd(e,u),!r&&t.shouldRedraw(e,u,h,l)&&i())},a=t.priority||Ee;n.beforeRender(r,a(e))}}}},Mh=function(){function t(n){var i=arguments.length>1&&void 0!==arguments[1]?arguments[1]:ke;e(this,t),this.idsByKey=new ze,this.keyForId=new ze,this.cachesByLvl=new ze,this.lvls=[],this.getKey=n,this.doesEleInvalidateKey=i}return r(t,[{key:"getIdsFor",value:function(t){null==t&&Te("Can not get id list for null key");var e=this.idsByKey,n=this.idsByKey.get(t);return n||(n=new Ze,e.set(t,n)),n}},{key:"addIdForKey",value:function(t,e){null!=t&&this.getIdsFor(t).add(e)}},{key:"deleteIdForKey",value:function(t,e){null!=t&&this.getIdsFor(t).delete(e)}},{key:"getNumberOfIdsForKey",value:function(t){return null==t?0:this.getIdsFor(t).size}},{key:"updateKeyMappingFor",value:function(t){var e=t.id(),n=this.keyForId.get(e),i=this.getKey(t);this.deleteIdForKey(n,e),this.addIdForKey(i,e),this.keyForId.set(e,i)}},{key:"deleteKeyMappingFor",value:function(t){var e=t.id(),n=this.keyForId.get(e);this.deleteIdForKey(n,e),this.keyForId.delete(e)}},{key:"keyHasChangedFor",value:function(t){var e=t.id();return this.keyForId.get(e)!==this.getKey(t)}},{key:"isInvalid",value:function(t){return this.keyHasChangedFor(t)||this.doesEleInvalidateKey(t)}},{key:"getCachesAt",value:function(t){var e=this.cachesByLvl,n=this.lvls,i=e.get(t);return i||(i=new ze,e.set(t,i),n.push(t)),i}},{key:"getCache",value:function(t,e){return this.getCachesAt(e).get(t)}},{key:"get",value:function(t,e){var n=this.getKey(t),i=this.getCache(n,e);return null!=i&&this.updateKeyMappingFor(t),i}},{key:"getForCachedKey",value:function(t,e){var n=this.keyForId.get(t.id());return this.getCache(n,e)}},{key:"hasCache",value:function(t,e){return this.getCachesAt(e).has(t)}},{key:"has",value:function(t,e){var n=this.getKey(t);return this.hasCache(n,e)}},{key:"setCache",value:function(t,e,n){n.key=t,this.getCachesAt(e).set(t,n)}},{key:"set",value:function(t,e,n){var i=this.getKey(t);this.setCache(i,e,n),this.updateKeyMappingFor(t)}},{key:"deleteCache",value:function(t,e){this.getCachesAt(e).delete(t)}},{key:"delete",value:function(t,e){var n=this.getKey(t);this.deleteCache(n,e)}},{key:"invalidateKey",value:function(t){var e=this;this.lvls.forEach((function(n){return e.deleteCache(t,n)}))}},{key:"invalidate",value:function(t){var e=t.id(),n=this.keyForId.get(e);this.deleteKeyMappingFor(t);var i=this.doesEleInvalidateKey(t);return i&&this.invalidateKey(n),i||0===this.getNumberOfIdsForKey(n)}}]),t}(),Ih=25,Lh=50,Dh=-4,Oh=3,Nh=7.99,Ph=8,Bh=1024,Fh=1024,Rh=1024,$h=.2,jh=.8,zh=10,qh=.15,Hh=.1,Zh=.9,Uh=.9,Yh=100,Gh=1,Kh={dequeue:"dequeue",downscale:"downscale",highQuality:"highQuality"},Wh=Ne({getKey:null,doesEleInvalidateKey:ke,drawElement:null,getBoundingBox:null,getRotationPoint:null,getRotationOffset:null,isVisible:xe,allowEdgeTxrCaching:!0,allowParentTxrCaching:!0}),Xh=function(t,e){var n=this;n.renderer=t,n.onDequeues=[];var i=Wh(e);Q(n,i),n.lookup=new Mh(i.getKey,i.doesEleInvalidateKey),n.setupDequeueing()},Vh=Xh.prototype;Vh.reasons=Kh,Vh.getTextureQueue=function(t){var e=this;return e.eleImgCaches=e.eleImgCaches||{},e.eleImgCaches[t]=e.eleImgCaches[t]||[]},Vh.getRetiredTextureQueue=function(t){var e=this,n=e.eleImgCaches.retired=e.eleImgCaches.retired||{};return n[t]=n[t]||[]},Vh.getElementQueue=function(){var t=this;return t.eleCacheQueue=t.eleCacheQueue||new We((function(t,e){return e.reqs-t.reqs}))},Vh.getElementKeyToQueue=function(){var t=this;return t.eleKeyToCacheQueue=t.eleKeyToCacheQueue||{}},Vh.getElement=function(t,e,n,i,r){var a=this,o=this.renderer,s=o.cy.zoom(),c=this.lookup;if(!e||0===e.w||0===e.h||isNaN(e.w)||isNaN(e.h)||!t.visible()||t.removed())return null;if(!a.allowEdgeTxrCaching&&t.isEdge()||!a.allowParentTxrCaching&&t.isParent())return null;if(null==i&&(i=Math.ceil(vn(s*n))),i<Dh)i=Dh;else if(s>=Nh||i>Oh)return null;var u=Math.pow(2,i),l=e.h*u,h=e.w*u,f=o.eleTextBiggerThanMin(t,u);if(!this.isVisible(t,f))return null;var d,g=c.get(t,i);if(g&&g.invalidated&&(g.invalidated=!1,g.texture.invalidatedWidth-=g.width),g)return g;if(d=l<=Ih?Ih:l<=Lh?Lh:Math.ceil(l/Lh)*Lh,l>Rh||h>Fh)return null;var p=a.getTextureQueue(d),b=p[p.length-2],w=function(){return a.recycleTexture(d,h)||a.addTexture(d,h)};b||(b=p[p.length-1]),b||(b=w()),b.width-b.usedWidth<h&&(b=w());for(var y,m=function(t){return t&&t.scaledLabelShown===f},v=r&&r===Kh.dequeue,x=r&&r===Kh.highQuality,k=r&&r===Kh.downscale,_=i+1;_<=Oh;_++){var E=c.get(t,_);if(E){y=E;break}}var T=y&&y.level===i+1?y:null,C=function(){b.context.drawImage(T.texture.canvas,T.x,0,T.width,T.height,b.usedWidth,0,h,l)};if(b.context.setTransform(1,0,0,1,0,0),b.context.clearRect(b.usedWidth,0,h,d),m(T))C();else if(m(y)){if(!x)return a.queueElement(t,y.level-1),y;for(var S=y.level;S>i;S--)T=a.getElement(t,e,n,S,Kh.downscale);C()}else{var A;if(!v&&!x&&!k)for(var M=i-1;M>=Dh;M--){var I=c.get(t,M);if(I){A=I;break}}if(m(A))return a.queueElement(t,i),A;b.context.translate(b.usedWidth,0),b.context.scale(u,u),this.drawElement(b.context,t,e,f,!1),b.context.scale(1/u,1/u),b.context.translate(-b.usedWidth,0)}return g={x:b.usedWidth,texture:b,level:i,scale:u,width:h,height:l,scaledLabelShown:f},b.usedWidth+=Math.ceil(h+Ph),b.eleCaches.push(g),c.set(t,i,g),a.checkTextureFullness(b),g},Vh.invalidateElements=function(t){for(var e=0;e<t.length;e++)this.invalidateElement(t[e])},Vh.invalidateElement=function(t){var e=this,n=e.lookup,i=[];if(n.isInvalid(t)){for(var r=Dh;r<=Oh;r++){var a=n.getForCachedKey(t,r);a&&i.push(a)}if(n.invalidate(t))for(var o=0;o<i.length;o++){var s=i[o],c=s.texture;c.invalidatedWidth+=s.width,s.invalidated=!0,e.checkTextureUtility(c)}e.removeFromQueue(t)}},Vh.checkTextureUtility=function(t){t.invalidatedWidth>=$h*t.width&&this.retireTexture(t)},Vh.checkTextureFullness=function(t){var e=this.getTextureQueue(t.height);t.usedWidth/t.width>jh&&t.fullnessChecks>=zh?Pe(e,t):t.fullnessChecks++},Vh.retireTexture=function(t){var e=this,n=t.height,i=e.getTextureQueue(n),r=this.lookup;Pe(i,t),t.retired=!0;for(var a=t.eleCaches,o=0;o<a.length;o++){var s=a[o];r.deleteCache(s.key,s.level)}Be(a),e.getRetiredTextureQueue(n).push(t)},Vh.addTexture=function(t,e){var n=this,i={};return n.getTextureQueue(t).push(i),i.eleCaches=[],i.height=t,i.width=Math.max(Bh,e),i.usedWidth=0,i.invalidatedWidth=0,i.fullnessChecks=0,i.canvas=n.renderer.makeOffscreenCanvas(i.width,i.height),i.context=i.canvas.getContext("2d"),i},Vh.recycleTexture=function(t,e){for(var n=this,i=n.getTextureQueue(t),r=n.getRetiredTextureQueue(t),a=0;a<r.length;a++){var o=r[a];if(o.width>=e)return o.retired=!1,o.usedWidth=0,o.invalidatedWidth=0,o.fullnessChecks=0,Be(o.eleCaches),o.context.setTransform(1,0,0,1,0,0),o.context.clearRect(0,0,o.width,o.height),Pe(r,o),i.push(o),o}},Vh.queueElement=function(t,e){var n=this,i=n.getElementQueue(),r=n.getElementKeyToQueue(),a=this.getKey(t),o=r[a];if(o)o.level=Math.max(o.level,e),o.eles.merge(t),o.reqs++,i.updateItem(o);else{var s={eles:t.spawn().merge(t),level:e,reqs:1,key:a};i.push(s),r[a]=s}},Vh.dequeue=function(t){for(var e=this,n=e.getElementQueue(),i=e.getElementKeyToQueue(),r=[],a=e.lookup,o=0;o<Gh&&n.size()>0;o++){var 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dnt(){dnt=I,PTe=dlt((pyt(),Ast(Zx(tCe,1),OWt,248,0,[ATe,LTe,DTe,OTe,MTe,ITe])))}function gnt(){gnt=I,rle=dlt((OSt(),Ast(Zx(sle,1),OWt,227,0,[Jue,ele,Que,tle,nle,Vue])))}function pnt(){pnt=I,che=dlt((JTt(),Ast(Zx(mhe,1),OWt,275,0,[ahe,nhe,ohe,rhe,ihe,ehe])))}function bnt(){bnt=I,the=dlt((qkt(),Ast(Zx(she,1),OWt,274,0,[Xle,Wle,Qle,Kle,Vle,Gle])))}function wnt(){wnt=I,rye=dlt((TEt(),Ast(Zx(cye,1),OWt,313,0,[eye,Jwe,Vwe,Qwe,nye,tye])))}function ynt(){ynt=I,qle=dlt((wCt(),Ast(Zx(Ule,1),OWt,276,0,[Ble,Ple,Rle,Fle,jle,$le])))}function mnt(){mnt=I,Qve=dlt((FSt(),Ast(Zx($xe,1),OWt,327,0,[Xve,Yve,Kve,Gve,Wve,Uve])))}function vnt(){vnt=I,sMe=dlt((dMt(),Ast(Zx(MMe,1),OWt,273,0,[rMe,nMe,iMe,eMe,tMe,aMe])))}function xnt(){xnt=I,uAe=dlt((eTt(),Ast(Zx(vAe,1),OWt,312,0,[oAe,rAe,sAe,nAe,aAe,iAe])))}function knt(){return eDt(),Ast(Zx(ZAe,1),OWt,93,0,[MAe,AAe,LAe,BAe,PAe,NAe,DAe,OAe,IAe])}function _nt(t,e){var n;n=t.a,t.a=e,0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new h4(t,0,n,t.a))}function Ent(t,e){var 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e,n,i,r;for(i=0,r=(n=t.a).length;i<r;++i)XY(e=n[i],e.length,null)}function wit(t){var e,n;if(0==t)return 32;for(n=0,e=1;0==(e&t);e<<=1)++n;return n}function yit(t){var e;for(e=new Kd(ivt(t));e.a<e.c.c.length;)zz(t0(e),680).Gf()}function mit(t){yT(),this.g=new Pw,this.f=new Pw,this.b=new Pw,this.c=new wQ,this.i=t}function vit(){this.f=new Zk,this.d=new gm,this.c=new Zk,this.a=new Nw,this.b=new Nw}function xit(t,e,n,i){this.rj(),this.a=e,this.b=t,this.c=null,this.c=new fR(this,e,n,i)}function kit(t,e,n,i,r){this.d=t,this.n=e,this.g=n,this.o=i,this.p=-1,r||(this.o=-2-i-1)}function _it(){IO.call(this),this.n=-1,this.g=null,this.i=null,this.j=null,this.Bb|=k6t}function Eit(){return e$t(),Ast(Zx(iIe,1),OWt,259,0,[ZMe,YMe,HMe,GMe,KMe,XMe,WMe,UMe,qMe])}function Tit(){return nFt(),Ast(Zx(zie,1),OWt,250,0,[Fie,Die,Oie,Lie,Pie,Bie,Nie,Iie,Mie])}function Cit(){Cit=I,Lee=Ast(Zx(LNe,1),hXt,25,15,[0,8,4,12,2,10,6,14,1,9,5,13,3,11,7,15])}function Sit(){Sit=I,xme=pH(pH(pH(new 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Kd(t.b);i.a<i.c.c.length;)(e=(n=zz(t0(i),214)).c.Rf()?n.f:n.a)&&pHt(e,n.j)}function cht(){cht=I,yAe=new qA("INHERIT",0),wAe=new qA("INCLUDE_CHILDREN",1),mAe=new qA("SEPARATE_CHILDREN",2)}function uht(t,e){switch(e){case 1:return!t.n&&(t.n=new nY(UIe,t,1,7)),void lHt(t.n);case 2:return void Oit(t,null)}Yst(t,e)}function lht(t){switch(t.gc()){case 0:return zte;case 1:return new SH(vG(t.Xb(0)));default:return new CV(t)}}function hht(t){switch(u$(),t.gc()){case 0:return WG(),Xte;case 1:return new vx(t.Kc().Pb());default:return new yC(t)}}function fht(t){switch(u$(),t.c){case 0:return WG(),Xte;case 1:return new vx(JAt(new XE(t)));default:return new uv(t)}}function dht(t,e){vG(t);try{return t.xc(e)}catch(t){if(aO(t=dst(t),205)||aO(t,173))return null;throw qw(t)}}function ght(t,e){vG(t);try{return t.Bc(e)}catch(t){if(aO(t=dst(t),205)||aO(t,173))return null;throw qw(t)}}function pht(t,e){vG(t);try{return t.Hc(e)}catch(t){if(aO(t=dst(t),205)||aO(t,173))return!1;throw qw(t)}}function bht(t,e){vG(t);try{return t.Mc(e)}catch(t){if(aO(t=dst(t),205)||aO(t,173))return!1;throw qw(t)}}function wht(t,e){vG(t);try{return t._b(e)}catch(t){if(aO(t=dst(t),205)||aO(t,173))return!1;throw qw(t)}}function yht(t,e){t.a.c.length>0&&but(zz(PH(t.a,t.a.c.length-1),570),e)||Kz(t.a,new w5(e))}function mht(t){var e,n;Z$(),e=t.d.c-t.e.c,Let((n=zz(t.g,145)).b,new kp(e)),Let(n.c,new _p(e)),n5(n.i,new Ep(e))}function vht(t){var e;return(e=new Ax).a+="VerticalSegment ",sI(e,t.e),e.a+=" ",cI(e,QO(new mx,new Kd(t.k))),e.a}function xht(t){var e;return(e=zz(ftt(t.c.c,""),229))||(e=new YJ(kk(xk(new ys,""),"Other")),Jbt(t.c.c,"",e)),e}function kht(t){var e;return 0!=(64&t.Db)?ADt(t):((e=new hN(ADt(t))).a+=" (name: ",aI(e,t.zb),e.a+=")",e.a)}function _ht(t,e,n){var i,r;return r=t.sb,t.sb=e,0!=(4&t.Db)&&0==(1&t.Db)&&(i=new tY(t,1,4,r,e),n?n.Ei(i):n=i),n}function Eht(t,e){var n,i;for(n=0,i=sdt(t,e).Kc();i.Ob();)n+=null!=vTt(zz(i.Pb(),11),(hKt(),_fe))?1:0;return n}function Tht(t,e,n){var i,r,a;for(i=0,a=lwt(t,0);a.b!=a.d.c&&!((r=Zv(TB(d3(a))))>n);)r>=e&&++i;return i}function Cht(t,e,n){var i;return i=new N9(t.e,3,13,null,e.c||(wKt(),fDe),cyt(t,e),!1),n?n.Ei(i):n=i,n}function Sht(t,e,n){var i;return i=new N9(t.e,4,13,e.c||(wKt(),fDe),null,cyt(t,e),!1),n?n.Ei(i):n=i,n}function Aht(t,e,n){var i,r;return r=t.r,t.r=e,0!=(4&t.Db)&&0==(1&t.Db)&&(i=new tY(t,1,8,r,t.r),n?n.Ei(i):n=i),n}function Mht(t,e){var n,i;return!(i=(n=zz(e,676)).vk())&&n.wk(i=aO(e,88)?new DM(t,zz(e,26)):new $0(t,zz(e,148))),i}function Iht(t,e,n){var i;t.qi(t.i+1),i=t.oi(e,n),e!=t.i&&sqt(t.g,e,t.g,e+1,t.i-e),DG(t.g,e,i),++t.i,t.bi(e,n),t.ci()}function Lht(t,e){var n;return e.a&&(n=e.a.a.length,t.a?cI(t.a,t.b):t.a=new fN(t.d),Z0(t.a,e.a,e.d.length,n)),t}function Dht(t,e){var n,i,r;if(e.vi(t.a),null!=(r=zz(xot(t.a,8),1936)))for(n=0,i=r.length;n<i;++n)null.jm()}function Oht(t,e){var n;return n=new ct,t.a.sd(n)?(AO(),new yv(xK(E9(t,n.a,e)))):(_K(t),AO(),AO(),Cne)}function Nht(t,e){switch(e.g){case 2:case 1:return sdt(t,e);case 3:case 4:return iot(sdt(t,e))}return CX(),CX(),lne}function Pht(t,e){return GM(t)?mR(t,e):YM(t)?yR(t,e):UM(t)?(xK(t),ZM(t)===ZM(e)):iU(t)?t.Fb(e):LZ(t)?jI(t,e):y0(t,e)}function Bht(t){return t?0!=(1&t.i)?t==DNe?kee:t==LNe?Dee:t==BNe?Mee:t==PNe?Aee:t==ONe?Ree:t==FNe?jee:t==NNe?Tee:See:t:null}function Fht(t,e,n,i,r){0!=e&&0!=i&&(1==e?r[i]=byt(r,n,i,t[0]):1==i?r[e]=byt(r,t,e,n[0]):QIt(t,n,r,e,i))}function Rht(t,e){var n;0!=t.c.length&&(lL(n=zz(Vbt(t,P7(Ise,s1t,10,t.c.length,0,1)),193),new In),iIt(n,e))}function $ht(t,e){var n;0!=t.c.length&&(lL(n=zz(Vbt(t,P7(Ise,s1t,10,t.c.length,0,1)),193),new Ln),iIt(n,e))}function jht(t,e,n,i){switch(e){case 1:return!t.n&&(t.n=new nY(UIe,t,1,7)),t.n;case 2:return t.k}return Evt(t,e,n,i)}function zht(){zht=I,zSe=new RA(hQt,0),jSe=new RA(sQt,1),$Se=new RA(oQt,2),RSe=new RA(yQt,3),qSe=new RA("UP",4)}function qht(){qht=I,gse=new VC(VJt,0),dse=new VC("INSIDE_PORT_SIDE_GROUPS",1),fse=new VC("FORCE_MODEL_ORDER",2)}function Hht(t,e,n){if(t<0||e>n)throw qw(new Lv(vVt+t+kVt+e+", size: "+n));if(t>e)throw qw(new $v(vVt+t+xVt+e))}function Zht(t,e,n){if(e<0)oMt(t,n);else{if(!n.Ij())throw qw(new $v(a6t+n.ne()+o6t));zz(n,66).Nj().Vj(t,t.yh(),e)}}function Uht(t,e,n,i,r,a,o,s){var c;for(c=n;a<o;)c>=i||e<n&&s.ue(t[e],t[c])<=0?DG(r,a++,t[e++]):DG(r,a++,t[c++])}function Yht(t,e,n,i,r,a){this.e=new Nw,this.f=(sit(),Zye),Kz(this.e,t),this.d=e,this.a=n,this.b=i,this.f=r,this.c=a}function Ght(t,e){var n,i;for(i=new LO(t);i.e!=i.i.gc();)if(n=zz(kwt(i),26),ZM(e)===ZM(n))return!0;return!1}function Kht(t){var e,n,i,r;for(bKt(),i=0,r=(n=nwt()).length;i<r;++i)if(-1!=_9((e=n[i]).a,t,0))return e;return Mre}function Wht(t){return t>=65&&t<=70?t-65+10:t>=97&&t<=102?t-97+10:t>=48&&t<=57?t-48:0}function Xht(t){var e;return 0!=(64&t.Db)?ADt(t):((e=new hN(ADt(t))).a+=" (source: ",aI(e,t.d),e.a+=")",e.a)}function Vht(t,e,n){var i,r;return r=t.a,t.a=e,0!=(4&t.Db)&&0==(1&t.Db)&&(i=new tY(t,1,5,r,t.a),n?$_t(n,i):n=i),n}function Qht(t,e){var n;n=0!=(256&t.Bb),e?t.Bb|=256:t.Bb&=-257,0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new e6(t,1,2,n,e))}function Jht(t,e){var n;n=0!=(256&t.Bb),e?t.Bb|=256:t.Bb&=-257,0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new e6(t,1,8,n,e))}function tft(t,e){var n;n=0!=(256&t.Bb),e?t.Bb|=256:t.Bb&=-257,0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new e6(t,1,8,n,e))}function eft(t,e){var n;n=0!=(512&t.Bb),e?t.Bb|=512:t.Bb&=-513,0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new e6(t,1,3,n,e))}function nft(t,e){var n;n=0!=(512&t.Bb),e?t.Bb|=512:t.Bb&=-513,0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new e6(t,1,9,n,e))}function ift(t,e){var n;return-1==t.b&&t.a&&(n=t.a.Gj(),t.b=n?t.c.Xg(t.a.aj(),n):Dgt(t.c.Tg(),t.a)),t.c.Og(t.b,e)}function rft(t){var e,n;return t>-129&&t<128?(e=t+128,!(n=(eH(),Iee)[e])&&(n=Iee[e]=new Pd(t)),n):new Pd(t)}function aft(t){var e,n;return t>-129&&t<128?(e=t+128,!(n=(EH(),$ee)[e])&&(n=$ee[e]=new Fd(t)),n):new Fd(t)}function oft(t){var e;return t.k==(cCt(),Tse)&&((e=zz(vTt(t,(hKt(),Xhe)),61))==(kYt(),uMe)||e==CMe)}function sft(t,e,n){var i,r;return(r=ODt(t.b,e))&&(i=zz(Pqt(j9(t,r),""),26))?vDt(t,i,e,n):null}function cft(t,e,n){var i,r;return(r=ODt(t.b,e))&&(i=zz(Pqt(j9(t,r),""),26))?xDt(t,i,e,n):null}function uft(t,e){var n,i;for(i=new LO(t);i.e!=i.i.gc();)if(n=zz(kwt(i),138),ZM(e)===ZM(n))return!0;return!1}function lft(t,e,n){var i;if(e>(i=t.gc()))throw qw(new eR(e,i));if(t.hi()&&t.Hc(n))throw qw(new $v(s7t));t.Xh(e,n)}function hft(t,e){var n;if(null==(n=lnt(t.i,e)))throw qw(new nx("Node did not exist in input."));return $at(e,n),null}function fft(t,e){var n;if(aO(n=PNt(t,e),322))return zz(n,34);throw qw(new $v(a6t+e+"' is not a valid attribute"))}function dft(t,e,n){var i,r;for(r=aO(e,99)&&0!=(zz(e,18).Bb&qXt)?new PI(e,t):new Dot(e,t),i=0;i<n;++i)oyt(r);return r}function gft(t){var e,n,i;for(i=0,n=t.length,e=0;e<n;e++)32==t[e]||13==t[e]||10==t[e]||9==t[e]||(t[i++]=t[e]);return i}function pft(t){var e,n,i;for(e=new Nw,i=new Kd(t.b);i.a<i.c.c.length;)n=zz(t0(i),594),wst(e,zz(n.jf(),14));return e}function bft(t){var e,n;for(n=zz(vTt(t,(ZHt(),fxe)),15).Kc();n.Ob();)Bq((e=zz(n.Pb(),188)).b.d,e),Bq(e.c.b,e)}function wft(t){switch(zz(vTt(t,(hKt(),ife)),303).g){case 1:hct(t,ife,(U9(),Che));break;case 2:hct(t,ife,(U9(),Ahe))}}function yft(t){var e;t.g&&(BPt((e=t.c.Rf()?t.f:t.a).a,t.o,!0),BPt(e.a,t.o,!1),hct(t.o,(HGt(),nwe),(V_t(),YAe)))}function mft(t){var e;if(!t.a)throw qw(new jv("Cannot offset an unassigned cut."));e=t.c-t.b,t.b+=e,PX(t,e),NX(t,e)}function vft(t){var e;return null==(e=t.a[t.c-1&t.a.length-1])?null:(t.c=t.c-1&t.a.length-1,DG(t.a,t.c,null),e)}function xft(t){var e,n;for(n=t.p.a.ec().Kc();n.Ob();)if((e=zz(n.Pb(),213)).f&&t.b[e.c]<-1e-10)return e;return null}function kft(t,e){switch(t.b.g){case 0:case 1:return e;case 2:case 3:return new YW(e.d,0,e.a,e.b);default:return null}}function _ft(t){switch(t.g){case 2:return jSe;case 1:return $Se;case 4:return RSe;case 3:return qSe;default:return zSe}}function Eft(t){switch(t.g){case 1:return AMe;case 2:return uMe;case 3:return cMe;case 4:return CMe;default:return SMe}}function Tft(t){switch(t.g){case 1:return CMe;case 2:return AMe;case 3:return uMe;case 4:return cMe;default:return SMe}}function Cft(t){switch(t.g){case 1:return cMe;case 2:return CMe;case 3:return AMe;case 4:return uMe;default:return SMe}}function Sft(t){switch(t){case 0:return new mm;case 1:return new wm;case 2:return new ym;default:throw qw(new gy)}}function Aft(t,e){return t<e?-1:t>e?1:t==e?0==t?Aft(1/t,1/e):0:isNaN(t)?isNaN(e)?0:1:-1}function Mft(t,e){LEt(e,"Sort end labels",1),QE(LW(gtt(new FH(null,new g1(t.b,16)),new gn),new pn),new bn),HCt(e)}function Ift(t,e,n){var i,r;return t.ej()?(r=t.fj(),i=QMt(t,e,n),t.$i(t.Zi(7,rft(n),i,e,r)),i):QMt(t,e,n)}function Lft(t,e){var n,i,r;null==t.d?(++t.e,--t.f):(r=e.cd(),N6(t,i=((n=e.Sh())&FKt)%t.d.length,DDt(t,i,n,r)))}function Dft(t,e){var n;n=0!=(t.Bb&k6t),e?t.Bb|=k6t:t.Bb&=-1025,0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new e6(t,1,10,n,e))}function Oft(t,e){var n;n=0!=(t.Bb&jXt),e?t.Bb|=jXt:t.Bb&=-4097,0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new e6(t,1,12,n,e))}function Nft(t,e){var n;n=0!=(t.Bb&T8t),e?t.Bb|=T8t:t.Bb&=-8193,0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new e6(t,1,15,n,e))}function Pft(t,e){var n;n=0!=(t.Bb&C8t),e?t.Bb|=C8t:t.Bb&=-2049,0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new e6(t,1,11,n,e))}function Bft(t,e){var n;return 0!=(n=Aft(t.b.c,e.b.c))||0!=(n=Aft(t.a.a,e.a.a))?n:Aft(t.a.b,e.a.b)}function Fft(t,e){var n;if(null==(n=FG(t.k,e)))throw qw(new nx("Port did not exist in input."));return $at(e,n),null}function Rft(t){var e,n;for(n=UDt(Get(t)).Kc();n.Ob();)if(P$t(t,e=CB(n.Pb())))return v4((YT(),FLe),e);return null}function $ft(t,e){var n,i,r,a,o;for(o=sPt(t.e.Tg(),e),a=0,n=zz(t.g,119),r=0;r<t.i;++r)i=n[r],o.rl(i.ak())&&++a;return a}function jft(t,e,n){var i,r;return i=zz(e.We(t.a),35),r=zz(n.We(t.a),35),null!=i&&null!=r?Pat(i,r):null!=i?-1:null!=r?1:0}function zft(t,e,n){var i;if(t.c)dTt(t.c,e,n);else for(i=new 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Xft(t){switch(zz(vTt(t,(HGt(),Jpe)),218).g){case 1:return new ia;case 3:return new ca;default:return new na}}function Vft(t){if(t.c)Vft(t.c);else if(t.d)throw qw(new jv("Stream already terminated, can't be modified or used"))}function Qft(t){var e;return 0!=(64&t.Db)?ADt(t):((e=new hN(ADt(t))).a+=" (identifier: ",aI(e,t.k),e.a+=")",e.a)}function Jft(t,e,n){var i;return e_(),_nt(i=new ac,e),Ent(i,n),t&&h8((!t.a&&(t.a=new DO(PIe,t,5)),t.a),i),i}function tdt(t,e,n,i){var r,a;return xK(i),xK(n),null==(a=null==(r=t.xc(e))?n:JE(zz(r,15),zz(n,14)))?t.Bc(e):t.zc(e,a),a}function edt(t){var e,n,i,r;return urt(n=new VR(e=zz(Wk((r=(i=t.gm).f)==Gte?i:r),9),zz(CF(e,e.length),9),0),t),n}function ndt(t,e,n){var i,r;for(r=t.a.ec().Kc();r.Ob();)if(i=zz(r.Pb(),10),ust(n,zz(PH(e,i.p),14)))return i;return null}function idt(t,e,n){try{jct(t,e,n)}catch(t){throw aO(t=dst(t),597)?qw(new b5(t)):qw(t)}return e}function rdt(t,e){var n;return 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bA("GRAPH_SIZE_CALCULATION",2)}function Idt(t,e){return lD(),ait($Wt),n.Math.abs(t-e)<=$Wt||t==e||isNaN(t)&&isNaN(e)?0:t<e?-1:t>e?1:UI(isNaN(t),isNaN(e))}function Ldt(t,e){var n,i;for(n=lwt(t,0);n.b!=n.d.c;){if((i=Uv(TB(d3(n))))==e)return;if(i>e){Y0(n);break}}tG(n,e)}function Ddt(t,e){var n,i,r,a,o;if(n=e.f,Jbt(t.c.d,n,e),null!=e.g)for(a=0,o=(r=e.g).length;a<o;++a)i=r[a],Jbt(t.c.e,i,e)}function Odt(t,e,n,i){var r,a,o;for(r=e+1;r<n;++r)for(a=r;a>e&&i.ue(t[a-1],t[a])>0;--a)o=t[a],DG(t,a,t[a-1]),DG(t,a-1,o)}function Ndt(t,e,n,i){if(e<0)TOt(t,n,i);else{if(!n.Ij())throw qw(new $v(a6t+n.ne()+o6t));zz(n,66).Nj().Tj(t,t.yh(),e,i)}}function Pdt(t,e){if(e==t.d)return t.e;if(e==t.e)return t.d;throw qw(new $v("Node "+e+" not part of edge "+t))}function Bdt(t,e){switch(e.g){case 2:return t.b;case 1:return t.c;case 4:return t.d;case 3:return t.a;default:return!1}}function Fdt(t,e){switch(e.g){case 2:return t.b;case 1:return t.c;case 4:return t.d;case 3:return t.a;default:return!1}}function Rdt(t,e,n,i){switch(e){case 3:return t.f;case 4:return t.g;case 5:return t.i;case 6:return t.j}return jht(t,e,n,i)}function $dt(t){return t.k==(cCt(),Ase)&&c5(new FH(null,new UY(new cU(JO(ddt(t).a.Kc(),new l)))),new Hr)}function jdt(t){return null==t.e?t:(!t.c&&(t.c=new aFt(0!=(256&t.f),t.i,t.a,t.d,0!=(16&t.f),t.j,t.g,null)),t.c)}function zdt(t,e){return t.h==MXt&&0==t.m&&0==t.l?(e&&(dee=TD(0,0,0)),KI((G9(),bee))):(e&&(dee=TD(t.l,t.m,t.h)),TD(0,0,0))}function qdt(t){return Array.isArray(t)&&t.im===M?t_(nut(t))+"@"+(eut(t)>>>0).toString(16):t.toString()}function Hdt(t){var e;this.a=new VR(e=zz(t.e&&t.e(),9),zz(CF(e,e.length),9),0),this.b=P7(Dte,HKt,1,this.a.a.length,5,1)}function Zdt(t){var e,n,i;for(this.a=new hL,i=new Kd(t);i.a<i.c.c.length;)n=zz(t0(i),14),grt(e=new lZ,n),EY(this.a,e)}function Udt(t){var e,n;for(HB(),e=t.o.b,n=zz(zz(l6(t.r,(kYt(),CMe)),21),84).Kc();n.Ob();)zz(n.Pb(),111).e.b+=e}function Ydt(t){var e;if(t.b){if(Ydt(t.b),t.b.d!=t.c)throw qw(new yy)}else t.d.dc()&&(e=zz(t.f.c.xc(t.e),14))&&(t.d=e)}function Gdt(t){var e;return null==t||(e=t.length)>0&&(d1(e-1,t.length),58==t.charCodeAt(e-1))&&!Kdt(t,OLe,NLe)}function Kdt(t,e,n){var i,r;for(i=0,r=t.length;i<r;i++)if(nct((d1(i,t.length),t.charCodeAt(i)),e,n))return!0;return!1}function Wdt(t,e){var n,i;for(i=t.e.a.ec().Kc();i.Ob();)if(nCt(e,(n=zz(i.Pb(),266)).d)||IAt(e,n.d))return!0;return!1}function Xdt(t,e){var n,i,r;for(r=(i=HFt(t,e))[i.length-1]/2,n=0;n<i.length;n++)if(i[n]>=r)return e.c+n;return e.c+e.b.gc()}function Vdt(t,e){var n,i,r,a;for(pB(),r=e,U8(i=q8(t),0,i.length,r),n=0;n<i.length;n++)n!=(a=wxt(t,i[n],n))&&Ift(t,n,a)}function Qdt(t,e){var n,i,r,a,o,s;for(i=0,n=0,o=0,s=(a=e).length;o<s;++o)(r=a[o])>0&&(i+=r,++n);return n>1&&(i+=t.d*(n-1)),i}function Jdt(t){var e,n,i;for((i=new Cx).a+="[",e=0,n=t.gc();e<n;)aI(i,xN(t.ki(e))),++e<n&&(i.a+=zKt);return i.a+="]",i.a}function tgt(t){var e,n,i;return i=DEt(t),!K_(t.c)&&(ret(i,"knownLayouters",n=new Af),e=new 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ugt(t,e){var n;return t.d?lY(t.b,e)?zz(FG(t.b,e),51):(n=e.Kf(),WK(t.b,e,n),n):e.Kf()}function lgt(t,e){var n;return ZM(t)===ZM(e)||!!aO(e,91)&&(n=zz(e,91),t.e==n.e&&t.d==n.d&&_4(t,n.a))}function hgt(t){switch(kYt(),t.g){case 4:return uMe;case 1:return cMe;case 3:return CMe;case 2:return AMe;default:return SMe}}function fgt(t,e){switch(e){case 3:return 0!=t.f;case 4:return 0!=t.g;case 5:return 0!=t.i;case 6:return 0!=t.j}return Eot(t,e)}function dgt(t){switch(t.g){case 0:return new Uo;case 1:return new Yo;default:throw qw(new $v(o4t+(null!=t.f?t.f:""+t.g)))}}function ggt(t){switch(t.g){case 0:return new Zo;case 1:return new Go;default:throw qw(new $v(C1t+(null!=t.f?t.f:""+t.g)))}}function pgt(t){switch(t.g){case 0:return new Wm;case 1:return new vm;default:throw qw(new $v(P4t+(null!=t.f?t.f:""+t.g)))}}function bgt(t){switch(t.g){case 1:return new Ro;case 2:return new bB;default:throw qw(new $v(o4t+(null!=t.f?t.f:""+t.g)))}}function wgt(t){var e,n;if(t.b)return t.b;for(n=Xne?null:t.d;n;){if(e=Xne?null:n.b)return e;n=Xne?null:n.d}return fT(),qne}function ygt(t){var e,n;return 0==t.e?0:(e=t.d<<5,n=t.a[t.d-1],t.e<0&&Mat(t)==t.d-1&&(--n,n|=0),e-=tIt(n))}function mgt(t){var e,n,i;return t<nne.length?nne[t]:(e=31&t,(i=P7(LNe,hXt,25,1+(n=t>>5),15,1))[n]=1<<e,new fY(1,n+1,i))}function vgt(t){var e,n,i;return(n=t.zg())?aO(e=t.Ug(),160)&&null!=(i=vgt(zz(e,160)))?i+"."+n:n:null}function xgt(t,e,n){var i,r;for(r=t.Kc();r.Ob();)if(i=r.Pb(),ZM(e)===ZM(i)||null!=e&&Pht(e,i))return n&&r.Qb(),!0;return!1}function kgt(t,e,n){var i,r;if(++t.j,n.dc())return!1;for(r=n.Kc();r.Ob();)i=r.Pb(),t.Hi(e,t.oi(e,i)),++e;return!0}function _gt(t,e,n,i){var r,a;if((a=n-e)<3)for(;a<3;)t*=10,++a;else{for(r=1;a>3;)r*=10,--a;t=(t+(r>>1))/r|0}return i.i=t,!0}function Egt(t){return Slt(),lN(),!!(Fdt(zz(t.a,81).j,zz(t.b,103))||0!=zz(t.a,81).d.e&&Fdt(zz(t.a,81).j,zz(t.b,103)))}function Tgt(t){P8(),zz(t.We((lKt(),HCe)),174).Hc((e$t(),WMe))&&(zz(t.We(hSe),174).Fc((dMt(),aMe)),zz(t.We(HCe),174).Mc(WMe))}function Cgt(t,e){var n;if(e){for(n=0;n<t.i;++n)if(zz(t.g[n],366).Di(e))return!1;return h8(t,e)}return!1}function Sgt(t){var e,n,i;for(e=new Af,i=new Hd(t.b.Kc());i.b.Ob();)n=XCt(zz(i.b.Pb(),686)),KY(e,e.a.length,n);return e.a}function Agt(t){var e;return!t.c&&(t.c=new Ot),mD(t.d,new Pt),QRt(t),e=dBt(t),QE(new FH(null,new g1(t.d,16)),new Mg(t)),e}function Mgt(t){var e;return 0!=(64&t.Db)?kht(t):((e=new hN(kht(t))).a+=" (instanceClassName: ",aI(e,t.D),e.a+=")",e.a)}function Igt(t,e){var n,i;e&&(n=Rnt(e,"x"),Tnt(new Jb(t).a,(xK(n),n)),i=Rnt(e,"y"),Lnt(new tw(t).a,(xK(i),i)))}function Lgt(t,e){var n,i;e&&(n=Rnt(e,"x"),Int(new Wb(t).a,(xK(n),n)),i=Rnt(e,"y"),Dnt(new Vb(t).a,(xK(i),i)))}function Dgt(t,e){var n,i,r;if(null==t.i&&Zjt(t),n=t.i,-1!=(i=e.aj()))for(r=n.length;i<r;++i)if(n[i]==e)return i;return-1}function Ogt(t){var e,n,i,r;for(n=zz(t.g,674),i=t.i-1;i>=0;--i)for(e=n[i],r=0;r<i;++r)if(mjt(t,e,n[r])){Nvt(t,i);break}}function Ngt(t){var e=t.e;function n(t){return t&&0!=t.length?"\t"+t.join("\n\t"):""}return e&&(e.stack||n(t[GWt]))}function Pgt(t){var e;switch(KG(),(e=t.Pc()).length){case 0:return zte;case 1:return new SH(vG(e[0]));default:return new CV(pdt(e))}}function Bgt(t,e){switch(e.g){case 1:return Rz(t.j,(wat(),Nse));case 2:return Rz(t.j,(wat(),Bse));default:return CX(),CX(),lne}}function Fgt(t,e){switch(e){case 3:return void Cnt(t,0);case 4:return void Snt(t,0);case 5:return void Ant(t,0);case 6:return void Mnt(t,0)}uht(t,e)}function Rgt(){Rgt=I,LT(),HGt(),Wwe=Iwe,Xwe=s6(Ast(Zx(fTe,1),k3t,146,0,[mwe,vwe,kwe,_we,Cwe,Swe,Awe,Mwe,Dwe,Nwe,xwe,Ewe,Lwe]))}function $gt(t){var e,n;e=t.d==(OSt(),Que),n=O_t(t),hct(t.a,(HGt(),xpe),e&&!n||!e&&n?(pyt(),DTe):(pyt(),LTe))}function jgt(t,e){var n;return(n=zz(S4(t,m8(new q,new z,new it,Ast(Zx(tie,1),OWt,132,0,[(Zut(),Yne)]))),15)).Qc(fq(n.gc()))}function zgt(){zgt=I,nIe=new VA("SIMPLE",0),JMe=new VA("GROUP_DEC",1),eIe=new VA("GROUP_MIXED",2),tIe=new VA("GROUP_INC",3)}function qgt(){qgt=I,UDe=new Dc,RDe=new Oc,$De=new Nc,jDe=new Pc,zDe=new Bc,qDe=new Fc,HDe=new Rc,ZDe=new $c,YDe=new jc}function Hgt(t,e,n){Zet(),um.call(this),this.a=xH(Gie,[lWt,aQt],[595,212],0,[tre,Jie],2),this.c=new dL,this.g=t,this.f=e,this.d=n}function Zgt(t,e){this.n=xH(ONe,[lWt,zXt],[364,25],14,[e,AQ(n.Math.ceil(t/32))],2),this.o=t,this.p=e,this.j=t-1>>1,this.k=e-1>>1}function Ugt(t,e){LEt(e,"End label post-processing",1),QE(LW(gtt(new FH(null,new g1(t.b,16)),new on),new sn),new cn),HCt(e)}function Ygt(t,e,n){var i;return i=Zv(t.p[e.i.p])+Zv(t.d[e.i.p])+e.n.b+e.a.b,Zv(t.p[n.i.p])+Zv(t.d[n.i.p])+n.n.b+n.a.b-i}function Ggt(t,e,n){var i,r;for(i=n0(n,GXt),r=0;0!=Xlt(i,0)&&r<e;r++)i=adt(i,n0(t[r],GXt)),t[r]=pZ(i),i=xU(i,32);return pZ(i)}function Kgt(t){var e,n,i,r;for(r=0,n=0,i=t.length;n<i;n++)d1(n,t.length),(e=t.charCodeAt(n))<64&&(r=i0(r,vU(1,e)));return r}function Wgt(t){var e;return null==t?null:new DL((e=zzt(t,!0)).length>0&&(d1(0,e.length),43==e.charCodeAt(0))?e.substr(1):e)}function Xgt(t){var e;return null==t?null:new DL((e=zzt(t,!0)).length>0&&(d1(0,e.length),43==e.charCodeAt(0))?e.substr(1):e)}function Vgt(t,e){return t.i>0&&(e.length<t.i&&(e=Fnt(nut(e).c,t.i)),sqt(t.g,0,e,0,t.i)),e.length>t.i&&DG(e,t.i,null),e}function Qgt(t,e,n){var i,r,a;return t.ej()?(i=t.i,a=t.fj(),Iht(t,i,e),r=t.Zi(3,null,e,i,a),n?n.Ei(r):n=r):Iht(t,t.i,e),n}function Jgt(t,e,n){var i,r;return i=new N9(t.e,4,10,aO(r=e.c,88)?zz(r,26):(wKt(),pDe),null,cyt(t,e),!1),n?n.Ei(i):n=i,n}function tpt(t,e,n){var i,r;return i=new N9(t.e,3,10,null,aO(r=e.c,88)?zz(r,26):(wKt(),pDe),cyt(t,e),!1),n?n.Ei(i):n=i,n}function ept(t){var e;return HB(),e=new gL(zz(t.e.We((lKt(),zCe)),8)),t.B.Hc((e$t(),ZMe))&&(e.a<=0&&(e.a=20),e.b<=0&&(e.b=20)),e}function npt(t){return gyt(),(t.q?t.q:(CX(),CX(),hne))._b((HGt(),Fbe))?zz(vTt(t,Fbe),197):zz(vTt(yK(t),Rbe),197)}function ipt(t,e){var n,i;return i=null,OP(t,(HGt(),Twe))&&(n=zz(vTt(t,Twe),94)).Xe(e)&&(i=n.We(e)),null==i&&(i=vTt(yK(t),e)),i}function rpt(t,e){var n,i,r;return!!aO(e,42)&&(i=(n=zz(e,42)).cd(),gK(r=dht(t.Rc(),i),n.dd())&&(null!=r||t.Rc()._b(i)))}function apt(t,e){var n;return t.f>0&&(t.qj(),-1!=DDt(t,((n=null==e?0:eut(e))&FKt)%t.d.length,n,e))}function opt(t,e){var n,i;return t.f>0&&(t.qj(),n=sIt(t,((i=null==e?0:eut(e))&FKt)%t.d.length,i,e))?n.dd():null}function spt(t,e){var n,i,r,a;for(a=sPt(t.e.Tg(),e),n=zz(t.g,119),r=0;r<t.i;++r)if(i=n[r],a.rl(i.ak()))return!1;return!0}function cpt(t){if(null==t.b){for(;t.a.Ob();)if(t.b=t.a.Pb(),!zz(t.b,49).Zg())return!0;return t.b=null,!1}return!0}function upt(t,e){t.mj();try{t.d.Vc(t.e++,e),t.f=t.d.j,t.g=-1}catch(t){throw aO(t=dst(t),73)?qw(new yy):qw(t)}}function lpt(t,e){var n,i;return uD(),i=null,e==(n=hF((hx(),hx(),aee)))&&(i=zz(CQ(ree,t),615)),i||(i=new UG(t),e==n&&mJ(ree,t,i)),i}function hpt(t,e){var i,r;t.a=adt(t.a,1),t.c=n.Math.min(t.c,e),t.b=n.Math.max(t.b,e),t.d+=e,i=e-t.f,r=t.e+i,t.f=r-t.e-i,t.e=r}function fpt(t,e){var n;t.c=e,t.a=ygt(e),t.a<54&&(t.f=(n=e.d>1?i0(vU(e.a[1],32),n0(e.a[0],GXt)):n0(e.a[0],GXt),k2(odt(e.e,n))))}function dpt(t,e){var n;return QI(t)&&QI(e)&&OXt<(n=t%e)&&n<LXt?n:cot((DHt(QI(t)?Aot(t):t,QI(e)?Aot(e):e,!0),dee))}function gpt(t,e){var n;FUt(e),(n=zz(vTt(t,(HGt(),Qpe)),276))&&hct(t,Qpe,Dvt(n)),tP(t.c),tP(t.f),W6(t.d),W6(zz(vTt(t,Lbe),207))}function ppt(t){this.e=P7(LNe,hXt,25,t.length,15,1),this.c=P7(DNe,tQt,25,t.length,16,1),this.b=P7(DNe,tQt,25,t.length,16,1),this.f=0}function bpt(t){var e,n;for(t.j=P7(PNe,ZXt,25,t.p.c.length,15,1),n=new Kd(t.p);n.a<n.c.c.length;)e=zz(t0(n),10),t.j[e.p]=e.o.b/t.i}function wpt(t){var e;0!=t.c&&(1==(e=zz(PH(t.a,t.b),287)).b?(++t.b,t.b<t.a.c.length&&Ed(zz(PH(t.a,t.b),287))):--e.b,--t.c)}function ypt(t){var e;e=t.a;do{(e=zz(Y5(new cU(JO(ddt(e).a.Kc(),new 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i,r,a;for(r=null,a=t.b;a;){if(i=t.a.ue(e,a.d),n&&0==i)return a;i>=0?a=a.a[1]:(r=a,a=a.a[0])}return r}function Spt(t,e,n){var i,r,a;for(r=null,a=t.b;a;){if(i=t.a.ue(e,a.d),n&&0==i)return a;i<=0?a=a.a[0]:(r=a,a=a.a[1])}return r}function Apt(t,e,n,i){var r,a,o;return r=!1,NZt(t.f,n,i)&&(Bbt(t.f,t.a[e][n],t.a[e][i]),o=(a=t.a[e])[i],a[i]=a[n],a[n]=o,r=!0),r}function Mpt(t,e,n,i,r){var a,o,s;for(o=r;e.b!=e.c;)a=zz(pY(e),10),s=zz(sdt(a,i).Xb(0),11),t.d[s.p]=o++,n.c[n.c.length]=s;return o}function Ipt(t,e,i){var r,a,o,s,c;return s=t.k,c=e.k,a=TB(ipt(t,r=i[s.g][c.g])),o=TB(ipt(e,r)),n.Math.max((xK(a),a),(xK(o),o))}function Lpt(t,e,n){var i,r,a,o;for(i=n/t.c.length,r=0,o=new Kd(t);o.a<o.c.c.length;)wlt(a=zz(t0(o),200),a.f+i*r),skt(a,e,i),++r}function Dpt(t,e,n){var i,r,a;for(r=zz(FG(t.b,n),177),i=0,a=new Kd(e.j);a.a<a.c.c.length;)r[zz(t0(a),113).d.p]&&++i;return i}function Opt(t){var e,n;return null!=(e=zz(xot(t.a,4),126))?(sqt(e,0,n=P7(pLe,r8t,415,e.length,0,1),0,e.length),n):gLe}function Npt(){var t;return 0!=oee&&(t=f5())-see>2e3&&(see=t,cee=n.setTimeout(X_,10)),0==oee++&&(Itt((ux(),nee)),!0)}function Ppt(t,e){var n;for(n=new cU(JO(ddt(t).a.Kc(),new l));bLt(n);)if(zz(Y5(n),17).d.i.c==e)return!1;return!0}function Bpt(t,e){var n;if(aO(e,245)){n=zz(e,245);try{return 0==t.vd(n)}catch(t){if(!aO(t=dst(t),205))throw qw(t)}}return!1}function Fpt(){return Error.stackTraceLimit>0?(n.Error.stackTraceLimit=Error.stackTraceLimit=64,!0):"stack"in new Error}function Rpt(t,e){return lD(),lD(),ait($Wt),(n.Math.abs(t-e)<=$Wt||t==e||isNaN(t)&&isNaN(e)?0:t<e?-1:t>e?1:UI(isNaN(t),isNaN(e)))>0}function $pt(t,e){return lD(),lD(),ait($Wt),(n.Math.abs(t-e)<=$Wt||t==e||isNaN(t)&&isNaN(e)?0:t<e?-1:t>e?1:UI(isNaN(t),isNaN(e)))<0}function jpt(t,e){return lD(),lD(),ait($Wt),(n.Math.abs(t-e)<=$Wt||t==e||isNaN(t)&&isNaN(e)?0:t<e?-1:t>e?1:UI(isNaN(t),isNaN(e)))<=0}function zpt(t,e){for(var n=0;!e[n]||""==e[n];)n++;for(var i=e[n++];n<e.length;n++)e[n]&&""!=e[n]&&(i+=t+e[n]);return i}function qpt(t,e,i){var r,a,o,s;for($7(e,o=e+i,t.length),s="",a=e;a<o;)r=n.Math.min(a+1e4,o),s+=KK(t.slice(a,r)),a=r;return s}function Hpt(t){var e,n,i,r;if(null==t)return null;for(r=new Nw,n=0,i=(e=xut(t)).length;n<i;++n)Kz(r,zzt(e[n],!0));return r}function Zpt(t){var e,n,i,r;if(null==t)return null;for(r=new Nw,n=0,i=(e=xut(t)).length;n<i;++n)Kz(r,zzt(e[n],!0));return r}function Upt(t){var e,n,i,r;if(null==t)return null;for(r=new Nw,n=0,i=(e=xut(t)).length;n<i;++n)Kz(r,zzt(e[n],!0));return r}function Ypt(t,e){var n,i,r;if(t.c)Snt(t.c,e);else for(n=e-iZ(t),r=new Kd(t.d);r.a<r.c.c.length;)Ypt(i=zz(t0(r),157),iZ(i)+n)}function Gpt(t,e){var n,i,r;if(t.c)Cnt(t.c,e);else for(n=e-nZ(t),r=new Kd(t.a);r.a<r.c.c.length;)Gpt(i=zz(t0(r),157),nZ(i)+n)}function Kpt(t,e){var n,i,r;for(i=new Q6(e.gc()),n=e.Kc();n.Ob();)(r=n$t(t,zz(n.Pb(),56)))&&(i.c[i.c.length]=r);return i}function Wpt(t,e){var n,i;return t.qj(),(n=sIt(t,((i=null==e?0:eut(e))&FKt)%t.d.length,i,e))?(hit(t,n),n.dd()):null}function Xpt(t){var e,n;for(n=cSt(t),e=null;2==t.c;)VGt(t),e||(pKt(),pKt(),nHt(e=new rD(2),n),n=e),n.$l(cSt(t));return n}function Vpt(t){if(!(Z6t in t.a))throw qw(new nx("Every element must have an id."));return kMt(UQ(t,Z6t))}function Qpt(t){var e,n,i;if(!(i=t.Zg()))for(e=0,n=t.eh();n;n=n.eh()){if(++e>UXt)return n.fh();if((i=n.Zg())||n==t)break}return i}function Jpt(t){return lJ(),aO(t,156)?zz(FG(lLe,vne),288).vg(t):lY(lLe,nut(t))?zz(FG(lLe,nut(t)),288).vg(t):null}function tbt(t){if(vbt(s5t,t))return lN(),mee;if(vbt(c5t,t))return lN(),yee;throw qw(new $v("Expecting true or false"))}function ebt(t,e){if(e.c==t)return e.d;if(e.d==t)return e.c;throw qw(new $v("Input edge is not connected to the input port."))}function nbt(t,e){return t.e>e.e?1:t.e<e.e?-1:t.d>e.d?t.e:t.d<e.d?-e.e:t.e*Cut(t.a,e.a,t.d)}function ibt(t){return t>=48&&t<48+n.Math.min(10,10)?t-48:t>=97&&t<97?t-97+10:t>=65&&t<65?t-65+10:-1}function rbt(t,e){var n;return ZM(e)===ZM(t)||!!aO(e,21)&&(n=zz(e,21)).gc()==t.gc()&&t.Ic(n)}function abt(t,e){var n,i,r;return i=t.a.length-1,n=e-t.b&i,r=t.c-e&i,_P(n<(t.c-t.b&i)),n>=r?(slt(t,e),-1):(clt(t,e),1)}function obt(t,e){var n,i;for(d1(e,t.length),n=t.charCodeAt(e),i=e+1;i<t.length&&(d1(i,t.length),t.charCodeAt(i)==n);)++i;return i-e}function sbt(t){switch(t.g){case 12:case 13:case 14:case 15:case 16:case 17:case 18:case 19:case 20:return!0;default:return!1}}function cbt(t,e){var n,i=t.a;e=String(e),i.hasOwnProperty(e)&&(n=i[e]);var r=(tct(),fee)[typeof n];return r?r(n):klt(typeof n)}function ubt(t,e){if(t.a<0)throw qw(new jv("Did not call before(...) or after(...) before calling add(...)."));return KN(t,t.a,e),t}function lbt(t,e,n,i){var r;0!=e.c.length&&(r=COt(n,i),QE(xet(new FH(null,new g1(cMt(e),1)),new _o),new GW(t,n,r,i)))}function hbt(t,e,n){var i;0!=(t.Db&e)?null==n?WIt(t,e):-1==(i=Rmt(t,e))?t.Eb=n:DG(int(t.Eb),i,n):null!=n&&vPt(t,e,n)}function fbt(t){var e;return 0==(32&t.Db)&&0!=(e=dG(zz(xot(t,16),26)||t.zh())-dG(t.zh()))&&hbt(t,32,P7(Dte,HKt,1,e,5,1)),t}function dbt(t){var e;return t.b||Gk(t,!(e=tR(t.e,t.a))||!mR(c5t,opt((!e.b&&(e.b=new QP((wKt(),xDe),GDe,e)),e.b),"qualified"))),t.c}function gbt(t,e,n){var i,r;return((r=(i=zz(Wet(q9(t.a),e),87)).c||(wKt(),fDe)).kh()?nht(t.b,zz(r,49)):r)==n?djt(i):ont(i,n),r}function pbt(t,e){(e||null==console.groupCollapsed?null!=console.group?console.group:console.log:console.groupCollapsed).call(console,t)}function bbt(t,e,n,i){zz(n.b,65),zz(n.b,65),zz(i.b,65),zz(i.b,65).c.b,R7(i,e,t)}function wbt(t){var e,n;for(e=new Kd(t.g);e.a<e.c.c.length;)zz(t0(e),562);YUt(n=new xPt(t.g,Zv(t.a),t.c)),t.g=n.b,t.d=n.a}function ybt(t,e,i){e.b=n.Math.max(e.b,-i.a),e.c=n.Math.max(e.c,i.a-t.a),e.d=n.Math.max(e.d,-i.b),e.a=n.Math.max(e.a,i.b-t.b)}function mbt(t,e){return t.e<e.e?-1:t.e>e.e?1:t.f<e.f?-1:t.f>e.f?1:eut(t)-eut(e)}function vbt(t,e){return xK(t),null!=e&&(!!mR(t,e)||t.length==e.length&&mR(t.toLowerCase(),e.toLowerCase()))}function xbt(t,e){var n,i,r,a;for(i=0,r=e.gc();i<r;++i)aO(n=e.il(i),99)&&0!=(zz(n,18).Bb&h6t)&&null!=(a=e.jl(i))&&n$t(t,zz(a,56))}function kbt(t,e,n){var i,r,a;for(a=new Kd(n.a);a.a<a.c.c.length;)r=zz(t0(a),221),i=new AD(zz(FG(t.a,r.b),65)),Kz(e.a,i),kbt(t,i,r)}function _bt(t){var e,n;return Xlt(t,-129)>0&&Xlt(t,128)<0?(e=pZ(t)+128,!(n=(_H(),Oee)[e])&&(n=Oee[e]=new Bd(t)),n):new Bd(t)}function Ebt(t,e){var n,i;return(n=e.Hh(t.a))&&null!=(i=CB(opt((!n.b&&(n.b=new QP((wKt(),xDe),GDe,n)),n.b),n7t)))?i:e.ne()}function Tbt(t,e){var n,i;return(n=e.Hh(t.a))&&null!=(i=CB(opt((!n.b&&(n.b=new QP((wKt(),xDe),GDe,n)),n.b),n7t)))?i:e.ne()}function Cbt(t,e){var n,i;for(HJ(),i=new cU(JO(hdt(t).a.Kc(),new l));bLt(i);)if((n=zz(Y5(i),17)).d.i==e||n.c.i==e)return n;return null}function Sbt(t,e,n){this.c=t,this.f=new Nw,this.e=new Zk,this.j=new CH,this.n=new CH,this.b=e,this.g=new YW(e.c,e.d,e.b,e.a),this.a=n}function Abt(t){var e,n,i,r;for(this.a=new hL,this.d=new Fy,this.e=0,i=0,r=(n=t).length;i<r;++i)e=n[i],!this.f&&(this.f=e),b2(this,e)}function Mbt(t){LBt(),0==t.length?(this.e=0,this.d=1,this.a=Ast(Zx(LNe,1),hXt,25,15,[0])):(this.e=1,this.d=t.length,this.a=t,G0(this))}function Ibt(t,e,n){um.call(this),this.a=P7(Gie,aQt,212,(Fet(),Ast(Zx(Wie,1),OWt,232,0,[Zie,Uie,Yie])).length,0,1),this.b=t,this.d=e,this.c=n}function Lbt(t){this.d=new Nw,this.e=new y4,this.c=P7(LNe,hXt,25,(kYt(),Ast(Zx(jMe,1),QJt,61,0,[SMe,uMe,cMe,CMe,AMe])).length,15,1),this.b=t}function Dbt(t){var e,n,i,r;for(hct(r=zz(vTt(t,(hKt(),pfe)),11),Ofe,t.i.n.b),n=0,i=(e=J0(t.e)).length;n<i;++n)TJ(e[n],r)}function Obt(t){var e,n,i,r;for(hct(e=zz(vTt(t,(hKt(),pfe)),11),Ofe,t.i.n.b),i=0,r=(n=J0(t.g)).length;i<r;++i)CJ(n[i],e)}function Nbt(t){var e,n;return!!OP(t.d.i,(HGt(),Kbe))&&(e=zz(vTt(t.c.i,Kbe),19),n=zz(vTt(t.d.i,Kbe),19),_D(e.a,n.a)>0)}function Pbt(t){var e;ZM(tDt(t,(lKt(),_Ce)))===ZM((cht(),yAe))&&(QQ(t)?(e=zz(tDt(QQ(t),_Ce),334),Qwt(t,_Ce,e)):Qwt(t,_Ce,mAe))}function Bbt(t,e,n){var i,r;fTt(t.e,e,n,(kYt(),AMe)),fTt(t.i,e,n,cMe),t.a&&(r=zz(vTt(e,(hKt(),pfe)),11),i=zz(vTt(n,pfe),11),x0(t.g,r,i))}function Fbt(t,e,n){var i,r,a;i=e.c.p,a=e.p,t.b[i][a]=new BV(t,e),n&&(t.a[i][a]=new zp(e),(r=zz(vTt(e,(hKt(),rfe)),10))&&JMt(t.d,r,e))}function Rbt(t,e){var n,i,r;if(Kz(Cae,t),e.Fc(t),n=zz(FG(Tae,t),21))for(r=n.Kc();r.Ob();)i=zz(r.Pb(),33),-1!=_9(Cae,i,0)||Rbt(i,e)}function $bt(t,e,n){var i;(Kne?(wgt(t),1):Wne||Qne?(fT(),1):Vne&&(fT(),0))&&((i=new i$(e)).b=n,sCt(t,i))}function jbt(t,e){var n;n=!t.A.Hc((vpt(),$Me))||t.q==(V_t(),GAe),t.u.Hc((dMt(),nMe))?n?PYt(t,e):sYt(t,e):t.u.Hc(rMe)&&(n?DUt(t,e):JYt(t,e))}function zbt(t,e){var n,i;++t.j,null!=e&&uIt(e,n=aO(i=t.a.Cb,97)?zz(i,97).Jg():null)?hbt(t.a,4,n):hbt(t.a,4,zz(e,126))}function qbt(t,e,i){return new YW(n.Math.min(t.a,e.a)-i/2,n.Math.min(t.b,e.b)-i/2,n.Math.abs(t.a-e.a)+i,n.Math.abs(t.b-e.b)+i)}function Hbt(t,e){var n,i;return 0!=(n=_D(t.a.c.p,e.a.c.p))?n:0!=(i=_D(t.a.d.i.p,e.a.d.i.p))?i:_D(e.a.d.p,t.a.d.p)}function Zbt(t,e,n){var i,r,a,o;return(a=e.j)!=(o=n.j)?a.g-o.g:(i=t.f[e.p],r=t.f[n.p],0==i&&0==r?0:0==i?-1:0==r?1:Aft(i,r))}function Ubt(t,e,n){var i;if(!n[e.d])for(n[e.d]=!0,i=new Kd(kdt(e));i.a<i.c.c.length;)Ubt(t,Pdt(zz(t0(i),213),e),n)}function Ybt(t,e,n){var i;switch(i=n[t.g][e],t.g){case 1:case 3:return new PA(0,i);case 2:case 4:return new PA(i,0);default:return null}}function Gbt(t,e,n){var i;i=zz(uQ(e.f),209);try{i.Ze(t,n),CK(e.f,i)}catch(t){throw aO(t=dst(t),102),qw(t)}}function Kbt(t,e,n){var i,r,a,o;return i=null,(a=yZt(oit(),e))&&(r=null,null!=(o=tZt(a,n))&&(r=t.Ye(a,o)),i=r),i}function Wbt(t,e,n,i){var r;return r=new N9(t.e,1,13,e.c||(wKt(),fDe),n.c||(wKt(),fDe),cyt(t,e),!1),i?i.Ei(r):i=r,i}function Xbt(t,e,n,i){var r;if(e>=(r=t.length))return r;for(e=e>0?e:0;e<r&&!nct((d1(e,t.length),t.charCodeAt(e)),n,i);e++);return e}function Vbt(t,e){var n,i;for(i=t.c.length,e.length<i&&(e=Hx(new Array(i),e)),n=0;n<i;++n)DG(e,n,t.c[n]);return e.length>i&&DG(e,i,null),e}function Qbt(t,e){var n,i;for(i=t.a.length,e.length<i&&(e=Hx(new Array(i),e)),n=0;n<i;++n)DG(e,n,t.a[n]);return e.length>i&&DG(e,i,null),e}function Jbt(t,e,n){var i,r,a;return(r=zz(FG(t.e,e),387))?(a=wF(r,n),sO(t,r),a):(i=new tq(t,e,n),WK(t.e,e,i),xQ(i),null)}function twt(t){var e;if(null==t)return null;if(null==(e=NDt(zzt(t,!0))))throw qw(new ix("Invalid hexBinary value: '"+t+"'"));return e}function ewt(t){return LBt(),Xlt(t,0)<0?0!=Xlt(t,-1)?new m_t(-1,k9(t)):Qee:Xlt(t,10)<=0?tne[pZ(t)]:new m_t(1,t)}function nwt(){return bKt(),Ast(Zx(Rre,1),OWt,159,0,[Sre,Cre,Are,yre,wre,mre,kre,xre,vre,Tre,Ere,_re,pre,gre,bre,fre,hre,dre,ure,cre,lre,Mre])}function iwt(t){var e;this.d=new Nw,this.j=new Zk,this.g=new Zk,e=t.g.b,this.f=zz(vTt(yK(e),(HGt(),Ype)),103),this.e=Zv(TB(wwt(e,Cwe)))}function rwt(t){this.b=new Nw,this.e=new Nw,this.d=t,this.a=!k_(LW(new FH(null,new UY(new m6(t.b))),new og(new Zr))).sd((pT(),eie))}function awt(){awt=I,lTe=new LA("PARENTS",0),uTe=new LA("NODES",1),sTe=new LA("EDGES",2),hTe=new LA("PORTS",3),cTe=new LA("LABELS",4)}function owt(){owt=I,zAe=new UA("DISTRIBUTED",0),HAe=new UA("JUSTIFIED",1),$Ae=new UA("BEGIN",2),jAe=new UA(iQt,3),qAe=new UA("END",4)}function swt(t){switch(t.yi(null)){case 10:return 0;case 15:return 1;case 14:return 2;case 11:return 3;case 21:return 4}return-1}function cwt(t){switch(t.g){case 1:return zht(),qSe;case 4:return zht(),$Se;case 2:return zht(),jSe;case 3:return zht(),RSe}return zht(),zSe}function uwt(t,e,n){var i;switch((i=n.q.getFullYear()-lXt+lXt)<0&&(i=-i),e){case 1:t.a+=i;break;case 2:_tt(t,i%100,2);break;default:_tt(t,i,e)}}function lwt(t,e){var n,i;if(OJ(e,t.b),e>=t.b>>1)for(i=t.c,n=t.b;n>e;--n)i=i.b;else for(i=t.a.a,n=0;n<e;++n)i=i.a;return new JR(t,e,i)}function hwt(){hwt=I,pie=new jC("NUM_OF_EXTERNAL_SIDES_THAN_NUM_OF_EXTENSIONS_LAST",0),gie=new jC("CORNER_CASES_THAN_SINGLE_SIDE_LAST",1)}function fwt(t){var e,n,i;for(mD(n=cAt(t),zse),(i=t.d).c=P7(Dte,HKt,1,0,5,1),e=new Kd(n);e.a<e.c.c.length;)wst(i,zz(t0(e),456).b)}function dwt(t){var e,n;for(!t.o&&(t.o=new v8((MGt(),TIe),rLe,t,0)),e=(n=t.o).c.Kc();e.e!=e.i.gc();)zz(e.nj(),42).dd();return L7(n)}function gwt(t){var e;OR(zz(vTt(t,(HGt(),nwe)),98))&&(fIt((f1(0,(e=t.b).c.length),zz(e.c[0],29))),fIt(zz(PH(e,e.c.length-1),29)))}function pwt(t,e){var i,r,a,o;for(i=0,a=new Kd(e.a);a.a<a.c.c.length;)o=(r=zz(t0(a),10)).o.a+r.d.c+r.d.b+t.j,i=n.Math.max(i,o);return i}function bwt(t){var e,n,i,r;for(r=0,n=0,i=t.length;n<i;n++)d1(n,t.length),(e=t.charCodeAt(n))>=64&&e<128&&(r=i0(r,vU(1,e-64)));return r}function wwt(t,e){var n,i;return i=null,OP(t,(lKt(),ASe))&&(n=zz(vTt(t,ASe),94)).Xe(e)&&(i=n.We(e)),null==i&&yK(t)&&(i=vTt(yK(t),e)),i}function ywt(t,e){var n,i,r;(i=(r=e.d.i).k)!=(cCt(),Ase)&&i!=Ese&&bLt(n=new cU(JO(ddt(r).a.Kc(),new l)))&&WK(t.k,e,zz(Y5(n),17))}function mwt(t,e){var n,i,r;return i=iet(t.Tg(),e),(n=e-t.Ah())<0?(r=t.Yg(i))>=0?t.lh(r):ZMt(t,i):n<0?ZMt(t,i):zz(i,66).Nj().Sj(t,t.yh(),n)}function vwt(t){var e;if(aO(t.a,4)){if(null==(e=Jpt(t.a)))throw qw(new jv(u5t+t.b+"'. "+a5t+(_B(dLe),dLe.k)+o5t));return e}return t.a}function xwt(t){var e;if(null==t)return null;if(null==(e=GYt(zzt(t,!0))))throw qw(new ix("Invalid base64Binary value: '"+t+"'"));return e}function kwt(t){var e;try{return e=t.i.Xb(t.e),t.mj(),t.g=t.e++,e}catch(e){throw aO(e=dst(e),73)?(t.mj(),qw(new vy)):qw(e)}}function _wt(t){var e;try{return e=t.c.ki(t.e),t.mj(),t.g=t.e++,e}catch(e){throw aO(e=dst(e),73)?(t.mj(),qw(new vy)):qw(e)}}function Ewt(){Ewt=I,lKt(),_ae=ESe,wae=vCe,fae=aCe,yae=GCe,jxt(),xae=Tie,vae=_ie,kae=Sie,mae=kie,Uut(),gae=cae,dae=sae,pae=lae,bae=hae}function Twt(t){switch(kT(),this.c=new Nw,this.d=t,t.g){case 0:case 2:this.a=XK(lse),this.b=RXt;break;case 3:case 1:this.a=lse,this.b=$Xt}}function Cwt(t,e,n){var i;if(t.c)Ant(t.c,t.c.i+e),Mnt(t.c,t.c.j+n);else for(i=new Kd(t.b);i.a<i.c.c.length;)Cwt(zz(t0(i),157),e,n)}function Swt(t,e){var n,i;if(t.j.length!=e.j.length)return!1;for(n=0,i=t.j.length;n<i;n++)if(!mR(t.j[n],e.j[n]))return!1;return!0}function Awt(t,e,n){var i;e.a.length>0&&(Kz(t.b,new Wz(e.a,n)),0<(i=e.a.length)?e.a=e.a.substr(0,0):0>i&&(e.a+=rO(P7(INe,WWt,25,-i,15,1))))}function Mwt(t,e){var n,i,r;for(n=t.o,r=zz(zz(l6(t.r,e),21),84).Kc();r.Ob();)(i=zz(r.Pb(),111)).e.a=bvt(i,n.a),i.e.b=n.b*Zv(TB(i.b.We(Ore)))}function Iwt(t,e){var n,i,r,a;return r=t.k,n=Zv(TB(vTt(t,(hKt(),Efe)))),a=e.k,i=Zv(TB(vTt(e,Efe))),a!=(cCt(),Tse)?-1:r!=Tse?1:n==i?0:n<i?-1:1}function Lwt(t,e){var n,i;return n=zz(zz(FG(t.g,e.a),46).a,65),i=zz(zz(FG(t.g,e.b),46).a,65),K7(e.a,e.b)-K7(e.a,$D(n.b))-K7(e.b,$D(i.b))}function Dwt(t,e){var n;return n=zz(vTt(t,(HGt(),ybe)),74),eO(e,yse)?n?vX(n):(n=new xm,hct(t,ybe,n)):n&&hct(t,ybe,null),n}function Owt(t){var e;return(e=new Ax).a+="n",t.k!=(cCt(),Ase)&&cI(cI((e.a+="(",e),pP(t.k).toLowerCase()),")"),cI((e.a+="_",e),wvt(t)),e.a}function Nwt(t,e){LEt(e,"Self-Loop post-processing",1),QE(LW(LW(gtt(new FH(null,new g1(t.b,16)),new Pi),new Bi),new Fi),new Ri),HCt(e)}function Pwt(t,e,n,i){var r;return n>=0?t.hh(e,n,i):(t.eh()&&(i=(r=t.Vg())>=0?t.Qg(i):t.eh().ih(t,-1-r,null,i)),t.Sg(e,n,i))}function Bwt(t,e){switch(e){case 7:return!t.e&&(t.e=new lR($Ie,t,7,4)),void lHt(t.e);case 8:return!t.d&&(t.d=new lR($Ie,t,8,5)),void lHt(t.d)}Fgt(t,e)}function Fwt(t,e){var n;n=t.Zc(e);try{return n.Pb()}catch(t){throw aO(t=dst(t),109)?qw(new Lv("Can't get element "+e)):qw(t)}}function Rwt(t,e){this.e=t,e<KXt?(this.d=1,this.a=Ast(Zx(LNe,1),hXt,25,15,[0|e])):(this.d=2,this.a=Ast(Zx(LNe,1),hXt,25,15,[e%KXt|0,e/KXt|0]))}function $wt(t,e){var n,i,r,a;for(CX(),n=t,a=e,aO(t,21)&&!aO(e,21)&&(n=e,a=t),r=n.Kc();r.Ob();)if(i=r.Pb(),a.Hc(i))return!1;return!0}function jwt(t,e,n){var i,r,a,o;return-1!=(i=t.Xc(e))&&(t.ej()?(a=t.fj(),o=Nvt(t,i),r=t.Zi(4,o,null,i,a),n?n.Ei(r):n=r):Nvt(t,i)),n}function zwt(t,e,n){var i,r,a,o;return-1!=(i=t.Xc(e))&&(t.ej()?(a=t.fj(),o=gH(t,i),r=t.Zi(4,o,null,i,a),n?n.Ei(r):n=r):gH(t,i)),n}function qwt(t,e){var n;switch(n=zz(cW(t.b,e),124).n,e.g){case 1:t.t>=0&&(n.d=t.t);break;case 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n,i,r,a;if(_Bt(),e.b<2)return!1;for(i=n=zz(d3(a=lwt(e,0)),8);a.b!=a.d.c;){if(oNt(t,i,r=zz(d3(a),8)))return!0;i=r}return!!oNt(t,i,n)}function iCt(t,e,n,i){return 0==n?(!t.o&&(t.o=new v8((MGt(),TIe),rLe,t,0)),zR(t.o,e,i)):zz(iet(zz(xot(t,16),26)||t.zh(),n),66).Nj().Rj(t,fbt(t),n-dG(t.zh()),e,i)}function rCt(t,e){var n;e!=t.sb?(n=null,t.sb&&(n=zz(t.sb,49).ih(t,1,qIe,n)),e&&(n=zz(e,49).gh(t,1,qIe,n)),(n=_ht(t,e,n))&&n.Fi()):0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new tY(t,1,4,e,e))}function aCt(t,e){var n,i;if(!e)throw qw(new nx("All edge sections need an end point."));n=Rnt(e,"x"),Tnt(new Rb(t).a,(xK(n),n)),i=Rnt(e,"y"),Lnt(new $b(t).a,(xK(i),i))}function oCt(t,e){var n,i;if(!e)throw qw(new nx("All edge sections need a start point."));n=Rnt(e,"x"),Int(new Pb(t).a,(xK(n),n)),i=Rnt(e,"y"),Dnt(new Bb(t).a,(xK(i),i))}function sCt(t,e){var 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n;this.e=(KG(),vG(t),KG(),Pgt(t)),this.c=(vG(e),Pgt(e)),oN(this.e.Hd().dc()==this.c.Hd().dc()),this.d=mdt(this.e),this.b=mdt(this.c),n=xH(Dte,[lWt,HKt],[5,1],5,[this.e.Hd().gc(),this.c.Hd().gc()],2),this.a=n,bit(this)}function vIt(t){var e=(!tee&&(tee=VYt()),tee);return'"'+t.replace(/[\x00-\x1f\xad\u0600-\u0603\u06dd\u070f\u17b4\u17b5\u200b-\u200f\u2028-\u202e\u2060-\u2064\u206a-\u206f\ufeff\ufff9-\ufffb"\\]/g,(function(t){return MQ(t,e)}))+'"'}function xIt(t){var e,n;for(AX(),this.b=lie,this.c=fie,this.g=(wT(),uie),this.d=(zht(),zSe),this.a=t,xNt(this),n=new Kd(t.b);n.a<n.c.c.length;)!(e=zz(t0(n),57)).a&&MN(Knt(new Gy,Ast(Zx(die,1),HKt,57,0,[e])),t),e.e=new bV(e.d)}function kIt(t){var e,n,i,r,a;for(r=t.e.c.length,i=P7(Rte,eJt,15,r,0,1),a=new Kd(t.e);a.a<a.c.c.length;)i[zz(t0(a),144).b]=new VE;for(n=new Kd(t.c);n.a<n.c.c.length;)i[(e=zz(t0(n),282)).c.b].Fc(e),i[e.d.b].Fc(e);return i}function _It(t){var e,n,i,r,a,o;for(o=uP(t.c.length),r=new 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n,i,r,a;for(n=t.o.a,a=zz(zz(l6(t.r,e),21),84).Kc();a.Ob();)(r=zz(a.Pb(),111)).e.a=(i=r.b).Xe((lKt(),oSe))?i.Hf()==(kYt(),AMe)?-i.rf().a-Zv(TB(i.We(oSe))):n+Zv(TB(i.We(oSe))):i.Hf()==(kYt(),AMe)?-i.rf().a:n}function AIt(t,e){var n,i,r;n=zz(vTt(t,(HGt(),Ype)),103),r=zz(tDt(e,swe),61),(i=zz(vTt(t,nwe),98))!=(V_t(),XAe)&&i!=VAe?r==(kYt(),SMe)&&(r=Ljt(e,n))==SMe&&(r=hgt(n)):r=Kqt(e)>0?hgt(n):Tft(hgt(n)),Qwt(e,swe,r)}function MIt(t,e){var n,i,r,a,o;for(o=t.j,e.a!=e.b&&mD(o,new Yr),r=o.c.length/2|0,i=0;i<r;i++)f1(i,o.c.length),(a=zz(o.c[i],113)).c&&ZAt(a.d,e.a);for(n=r;n<o.c.length;n++)f1(n,o.c.length),(a=zz(o.c[n],113)).c&&ZAt(a.d,e.b)}function IIt(t,e,n){var i,r,a;return i=t.c[e.c.p][e.p],r=t.c[n.c.p][n.p],null!=i.a&&null!=r.a?((a=EU(i.a,r.a))<0?cRt(t,e,n):a>0&&cRt(t,n,e),a):null!=i.a?(cRt(t,e,n),-1):null!=r.a?(cRt(t,n,e),1):0}function LIt(t,e){var n,i,r,a;t.ej()?(n=t.Vi(),a=t.fj(),++t.j,t.Hi(n,t.oi(n,e)),i=t.Zi(3,null,e,n,a),t.bj()&&(r=t.cj(e,null))?(r.Ei(i),r.Fi()):t.$i(i)):(nK(t,e),t.bj()&&(r=t.cj(e,null))&&r.Fi())}function DIt(t,e){var n,i,r,a,o;for(o=sPt(t.e.Tg(),e),r=new bc,n=zz(t.g,119),a=t.i;--a>=0;)i=n[a],o.rl(i.ak())&&h8(r,i);!sGt(t,r)&&mL(t.e)&&Oy(t,e.$j()?OV(t,6,e,(CX(),lne),null,-1,!1):OV(t,e.Kj()?2:1,e,null,null,-1,!1))}function OIt(){var t,e;for(OIt=I,sne=P7(une,lWt,91,32,0,1),cne=P7(une,lWt,91,32,0,1),t=1,e=0;e<=18;e++)sne[e]=ewt(t),cne[e]=ewt(vU(t,e)),t=odt(t,5);for(;e<cne.length;e++)sne[e]=Ntt(sne[e-1],sne[1]),cne[e]=Ntt(cne[e-1],(LBt(),ene))}function NIt(t,e){var n,i,r,a;return t.a==(JTt(),ahe)||(r=e.a.c,n=e.a.c+e.a.b,!(e.j&&(a=(i=e.A).c.c.a-i.o.a/2,r-(i.n.a+i.o.a)>a)||e.q&&(a=(i=e.C).c.c.a-i.o.a/2,i.n.a-n>a)))}function PIt(t,e){LEt(e,"Partition preprocessing",1),QE(zz(S4(LW(gtt(LW(new FH(null,new g1(t.a,16)),new yi),new mi),new vi),m8(new q,new z,new it,Ast(Zx(tie,1),OWt,132,0,[(Zut(),Yne)]))),15).Oc(),new xi),HCt(e)}function BIt(t){var e,n,i,r,a,o;for(HJ(),n=new y4,i=new Kd(t.e.b);i.a<i.c.c.length;)for(a=new Kd(zz(t0(i),29).a);a.a<a.c.c.length;)r=zz(t0(a),10),(e=zz(ftt(n,o=t.g[r.p]),15))||Jbt(n,o,e=new Nw),e.Fc(r);return n}function FIt(t,e){var n,i,r,a,o;for(r=e.b.b,t.a=P7(Rte,eJt,15,r,0,1),t.b=P7(DNe,tQt,25,r,16,1),o=lwt(e.b,0);o.b!=o.d.c;)a=zz(d3(o),86),t.a[a.g]=new VE;for(i=lwt(e.a,0);i.b!=i.d.c;)n=zz(d3(i),188),t.a[n.b.g].Fc(n),t.a[n.c.g].Fc(n)}function RIt(t){var e;return 0!=(64&t.Db)?ADt(t):((e=new hN(ADt(t))).a+=" (startX: ",y_(e,t.j),e.a+=", startY: ",y_(e,t.k),e.a+=", endX: ",y_(e,t.b),e.a+=", endY: ",y_(e,t.c),e.a+=", identifier: ",aI(e,t.d),e.a+=")",e.a)}function $It(t){var e;return 0!=(64&t.Db)?kht(t):((e=new hN(kht(t))).a+=" (ordered: ",v_(e,0!=(256&t.Bb)),e.a+=", unique: ",v_(e,0!=(512&t.Bb)),e.a+=", lowerBound: ",m_(e,t.s),e.a+=", upperBound: ",m_(e,t.t),e.a+=")",e.a)}function jIt(t,e,n,i,r,a,o,s){var c;return 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i,r,a;t.ej()?(a=t.fj(),Iht(t,e,n),i=t.Zi(3,null,n,e,a),t.bj()?(r=t.cj(n,null),t.ij()&&(r=t.jj(n,r)),r?(r.Ei(i),r.Fi()):t.$i(i)):t.$i(i)):(Iht(t,e,n),t.bj()&&(r=t.cj(n,null))&&r.Fi())}function UIt(t,e,n){var i,r,a,o,s,c;return(s=t.Gk(n))!=n?(o=t.g[e],c=s,kO(t,e,t.oi(e,c)),a=o,t.gi(e,c,a),t.rk()&&(i=n,r=t.dj(i,null),!zz(s,49).eh()&&(r=t.cj(c,r)),r&&r.Fi()),mL(t.e)&&Oy(t,t.Zi(9,n,s,e,!1)),s):n}function YIt(t,e){var n,i,r;for(n=new Kd(t.a.a);n.a<n.c.c.length;)zz(t0(n),189).g=!0;for(r=new Kd(t.a.b);r.a<r.c.c.length;)(i=zz(t0(r),81)).k=Hv(EB(t.e.Kb(new rM(i,e)))),i.d.g=i.d.g&Hv(EB(t.e.Kb(new rM(i,e))));return t}function GIt(t){var e,n,i,r,a;if(n=new VR(e=zz(Wk(jMe),9),zz(CF(e,e.length),9),0),a=zz(vTt(t,(hKt(),_fe)),10))for(r=new Kd(a.j);r.a<r.c.c.length;)ZM(vTt(i=zz(t0(r),11),pfe))===ZM(t)&&UN(new m6(i.b))&&urt(n,i.j);return n}function KIt(t,e,n){var i,r,a,o;if(!t.d[n.p]){for(i=new cU(JO(ddt(n).a.Kc(),new l));bLt(i);){for(a=new cU(JO(fdt(o=zz(Y5(i),17).d.i).a.Kc(),new 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n,i,r,a;if(e){for(a=!(r=aO(t.Cb,88)||aO(t.Cb,99))&&aO(t.Cb,322),n=new LO((!e.a&&(e.a=new oZ(e,WLe,e)),e.a));n.e!=n.i.gc();)if(i=djt(zz(kwt(n),87)),r?aO(i,88):a?aO(i,148):i)return i;return r?(wKt(),pDe):(wKt(),fDe)}return null}function _Ot(t,e){var n,i,r,a,o;for(LEt(e,"Constraints Postprocessor",1),a=0,r=new Kd(t.b);r.a<r.c.c.length;){for(o=0,i=new Kd(zz(t0(r),29).a);i.a<i.c.c.length;)(n=zz(t0(i),10)).k==(cCt(),Ase)&&(hct(n,(HGt(),kbe),rft(a)),hct(n,zpe,rft(o)),++o);++a}HCt(e)}function EOt(t,e,n,i){var r,a,o,s,c,u;for(GF(s=new PA(n,i),zz(vTt(e,(ZHt(),txe)),8)),u=lwt(e.b,0);u.b!=u.d.c;)YF((c=zz(d3(u),86)).e,s),Bq(t.b,c);for(o=lwt(e.a,0);o.b!=o.d.c;){for(r=lwt((a=zz(d3(o),188)).a,0);r.b!=r.d.c;)YF(zz(d3(r),8),s);Bq(t.a,a)}}function TOt(t,e,n){var i,r,a;if(!(a=zHt((ISt(),JDe),t.Tg(),e)))throw qw(new $v(a6t+e.ne()+o6t));if(JT(),!zz(a,66).Oj()&&!(a=J1(z9(JDe,a))))throw qw(new $v(a6t+e.ne()+o6t));r=zz((i=t.Yg(a))>=0?t._g(i,!0,!0):oIt(t,a,!0),153),zz(r,215).ml(e,n)}function COt(t,e){var n,i,r,a,o;for(n=new Nw,r=gtt(new FH(null,new g1(t,16)),new Eo),a=gtt(new FH(null,new g1(t,16)),new To),o=T9(q6(OW(SNt(Ast(Zx(nie,1),HKt,833,0,[r,a])),new Co))),i=1;i<o.length;i++)o[i]-o[i-1]>=2*e&&Kz(n,new xz(o[i-1]+e,o[i]-e));return n}function SOt(t,e,n){LEt(n,"Eades radial",1),n.n&&e&&v0(n,c2(e),(qut(),sIe)),t.d=zz(tDt(e,(gB(),Wxe)),33),t.c=Zv(TB(tDt(e,(Gvt(),Bke)))),t.e=Eyt(zz(tDt(e,Fke),293)),t.a=dgt(zz(tDt(e,$ke),426)),t.b=Zkt(zz(tDt(e,Dke),340)),akt(t),n.n&&e&&v0(n,c2(e),(qut(),sIe))}function AOt(t,e,n){var i,r,a,o,s;if(n)for(a=((i=new lU(n.a.length)).b-i.a)*i.c<0?(nC(),TNe):new GO(i);a.Ob();)(r=P2(n,zz(a.Pb(),19).a))&&(Oit(o=D3(t,(e_(),s=new _m,!!e&&qOt(s,e),s),r),F2(r,Z6t)),SEt(r,o),LAt(r,o),Bct(t,r,o))}function MOt(t){var e,n,i,r;if(!t.j){if(r=new Mc,null==(e=SDe).a.zc(t,e)){for(i=new LO(xV(t));i.e!=i.i.gc();)wG(r,MOt(n=zz(kwt(i),26))),h8(r,n);e.a.Bc(t)}olt(r),t.j=new NI((zz(Wet(XX((XG(),eDe).o),11),18),r.i),r.g),S5(t).b&=-33}return t.j}function IOt(t){var e,n,i,r;if(null==t)return null;if(i=zzt(t,!0),r=B9t.length,mR(i.substr(i.length-r,r),B9t))if(4==(n=i.length)){if(d1(0,i.length),43==(e=i.charCodeAt(0)))return ZOe;if(45==e)return HOe}else if(3==n)return ZOe;return new By(i)}function LOt(t){var e,n,i;return 0!=((n=t.l)&n-1)||0!=((i=t.m)&i-1)||0!=((e=t.h)&e-1)||0==e&&0==i&&0==n?-1:0==e&&0==i&&0!=n?wit(n):0==e&&0!=i&&0==n?wit(i)+22:0!=e&&0==i&&0==n?wit(e)+44:-1}function DOt(t,e){var n,i,r,a;for(LEt(e,"Edge joining",1),n=Hv(EB(vTt(t,(HGt(),Bwe)))),i=new Kd(t.b);i.a<i.c.c.length;)for(a=new T2(zz(t0(i),29).a,0);a.b<a.d.gc();)SP(a.b<a.d.gc()),(r=zz(a.d.Xb(a.c=a.b++),10)).k==(cCt(),Sse)&&(aZt(r,n),hK(a));HCt(e)}function OOt(t,e,n){var i;if(l2(t.b),AY(t.b,(Adt(),q_e),(IT(),ZEe)),AY(t.b,H_e,e.g),AY(t.b,Z_e,e.a),t.a=OHt(t.b,e),LEt(n,"Compaction by shrinking a tree",t.a.c.length),e.i.c.length>1)for(i=new Kd(t.a);i.a<i.c.c.length;)zz(t0(i),51).pf(e,vat(n,1));HCt(n)}function NOt(t,e){var n,i,r,a,o;for(r=e.a&t.f,a=null,i=t.b[r];;i=i.b){if(i==e){a?a.b=e.b:t.b[r]=e.b;break}a=i}for(o=e.f&t.f,a=null,n=t.c[o];;n=n.d){if(n==e){a?a.d=e.d:t.c[o]=e.d;break}a=n}e.e?e.e.c=e.c:t.a=e.c,e.c?e.c.e=e.e:t.e=e.e,--t.i,++t.g}function POt(t){var e,i,r,a,o,s,c,u,l,h;for(i=t.o,e=t.p,s=FKt,a=jWt,c=FKt,o=jWt,l=0;l<i;++l)for(h=0;h<e;++h)mmt(t,l,h)&&(s=n.Math.min(s,l),a=n.Math.max(a,l),c=n.Math.min(c,h),o=n.Math.max(o,h));return u=a-s+1,r=o-c+1,new WW(rft(s),rft(c),rft(u),rft(r))}function BOt(t,e){var n,i,r,a;for(SP((a=new T2(t,0)).b<a.d.gc()),n=zz(a.d.Xb(a.c=a.b++),140);a.b<a.d.gc();)SP(a.b<a.d.gc()),r=new mq((i=zz(a.d.Xb(a.c=a.b++),140)).c,n.d,e),SP(a.b>0),a.a.Xb(a.c=--a.b),vF(a,r),SP(a.b<a.d.gc()),a.d.Xb(a.c=a.b++),r.a=!1,n=i}function FOt(t){var e,n,i,r,a;for(i=zz(vTt(t,(hKt(),Rhe)),11),a=new Kd(t.j);a.a<a.c.c.length;){for(n=new Kd((r=zz(t0(a),11)).g);n.a<n.c.c.length;)return TJ(zz(t0(n),17),i),r;for(e=new Kd(r.e);e.a<e.c.c.length;)return CJ(zz(t0(e),17),i),r}return null}function ROt(t,e,i){var r,a;Xlt(r=fot(i.q.getTime()),0)<0?(a=XWt-pZ(dpt(k9(r),XWt)))==XWt&&(a=0):a=pZ(dpt(r,XWt)),1==e?PG(t,48+(a=n.Math.min((a+50)/100|0,9))&VWt):2==e?_tt(t,a=n.Math.min((a+5)/10|0,99),2):(_tt(t,a,3),e>3&&_tt(t,0,e-3))}function $Ot(t){var e,n,i,r;return ZM(vTt(t,(HGt(),ube)))===ZM((cht(),wAe))?!t.e&&ZM(vTt(t,Fpe))!==ZM(($ot(),xhe)):(i=zz(vTt(t,Rpe),292),r=Hv(EB(vTt(t,qpe)))||ZM(vTt(t,Hpe))===ZM((Lit(),ule)),e=zz(vTt(t,Bpe),19).a,n=t.a.c.length,!r&&i!=($ot(),xhe)&&(0==e||e>n))}function jOt(t){var e,n;for(n=0;n<t.c.length&&!(uH((f1(n,t.c.length),zz(t.c[n],113)))>0);n++);if(n>0&&n<t.c.length-1)return n;for(e=0;e<t.c.length&&!(uH((f1(e,t.c.length),zz(t.c[e],113)))>0);e++);return e>0&&n<t.c.length-1?e:t.c.length/2|0}function zOt(t,e){var n,i;if(e!=t.Cb||t.Db>>16!=6&&e){if(mxt(t,e))throw qw(new $v(p6t+RIt(t)));i=null,t.Cb&&(i=(n=t.Db>>16)>=0?lxt(t,i):t.Cb.ih(t,-1-n,null,i)),e&&(i=Pwt(e,t,6,i)),(i=XB(t,e,i))&&i.Fi()}else 0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new tY(t,1,6,e,e))}function qOt(t,e){var n,i;if(e!=t.Cb||t.Db>>16!=9&&e){if(mxt(t,e))throw qw(new $v(p6t+GFt(t)));i=null,t.Cb&&(i=(n=t.Db>>16)>=0?fxt(t,i):t.Cb.ih(t,-1-n,null,i)),e&&(i=Pwt(e,t,9,i)),(i=VB(t,e,i))&&i.Fi()}else 0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new tY(t,1,9,e,e))}function HOt(t,e){var n,i;if(e!=t.Cb||t.Db>>16!=3&&e){if(mxt(t,e))throw qw(new $v(p6t+dqt(t)));i=null,t.Cb&&(i=(n=t.Db>>16)>=0?Cxt(t,i):t.Cb.ih(t,-1-n,null,i)),e&&(i=Pwt(e,t,12,i)),(i=WB(t,e,i))&&i.Fi()}else 0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new tY(t,1,3,e,e))}function ZOt(t){var e,n,i,r,a;if(i=Ixt(t),null==(a=t.j)&&i)return t.$j()?null:i.zj();if(aO(i,148)){if((n=i.Aj())&&(r=n.Nh())!=t.i){if((e=zz(i,148)).Ej())try{t.g=r.Kh(e,a)}catch(e){if(!aO(e=dst(e),78))throw qw(e);t.g=null}t.i=r}return t.g}return null}function UOt(t){var e;return Kz(e=new Nw,new PC(new PA(t.c,t.d),new PA(t.c+t.b,t.d))),Kz(e,new PC(new PA(t.c,t.d),new PA(t.c,t.d+t.a))),Kz(e,new PC(new PA(t.c+t.b,t.d+t.a),new PA(t.c+t.b,t.d))),Kz(e,new PC(new PA(t.c+t.b,t.d+t.a),new PA(t.c,t.d+t.a))),e}function YOt(t,e,n,i){var r,a,o;if(o=Dkt(e,n),i.c[i.c.length]=e,-1==t.j[o.p]||2==t.j[o.p]||t.a[e.p])return i;for(t.j[o.p]=-1,a=new cU(JO(hdt(o).a.Kc(),new l));bLt(a);)if(!d5(r=zz(Y5(a),17))&&(d5(r)||r.c.i.c!=r.d.i.c)&&r!=e)return YOt(t,r,o,i);return i}function GOt(t,e,n){var i,r;for(r=e.a.ec().Kc();r.Ob();)i=zz(r.Pb(),79),!zz(FG(t.b,i),266)&&(QQ(ATt(i))==QQ(LTt(i))?nBt(t,i,n):ATt(i)==QQ(LTt(i))?null==FG(t.c,i)&&null!=FG(t.b,LTt(i))&&aUt(t,i,n,!1):null==FG(t.d,i)&&null!=FG(t.b,ATt(i))&&aUt(t,i,n,!0))}function KOt(t,e){var n,i,r,a,o,s,c;for(r=t.Kc();r.Ob();)for(i=zz(r.Pb(),10),AJ(s=new MCt,i),ZAt(s,(kYt(),cMe)),hct(s,(hKt(),kfe),(lN(),!0)),o=e.Kc();o.Ob();)a=zz(o.Pb(),10),AJ(c=new MCt,a),ZAt(c,AMe),hct(c,kfe,!0),hct(n=new gV,kfe,!0),CJ(n,s),TJ(n,c)}function WOt(t,e,n,i){var r,a,o,s;r=Dpt(t,e,n),a=Dpt(t,n,e),o=zz(FG(t.c,e),112),s=zz(FG(t.c,n),112),r<a?new UJ((I6(),Tve),o,s,a-r):a<r?new UJ((I6(),Tve),s,o,r-a):(0!=r||e.i&&n.i&&i[e.i.c][n.i.c])&&(new UJ((I6(),Tve),o,s,0),new UJ(Tve,s,o,0))}function XOt(t,e){var n,i,r,a,o,s;for(r=0,o=new Kd(e.a);o.a<o.c.c.length;)for(r+=(a=zz(t0(o),10)).o.b+a.d.a+a.d.d+t.e,i=new cU(JO(fdt(a).a.Kc(),new l));bLt(i);)(n=zz(Y5(i),17)).c.i.k==(cCt(),Mse)&&(r+=(s=zz(vTt(n.c.i,(hKt(),pfe)),10)).o.b+s.d.a+s.d.d);return r}function VOt(t,e,n){var i,r,a,o,s,c,u;for(a=new Nw,Lzt(t,u=new VE,o=new VE,e),EUt(t,u,o,e,n),c=new Kd(t);c.a<c.c.c.length;)for(r=new Kd((s=zz(t0(c),112)).k);r.a<r.c.c.length;)i=zz(t0(r),129),(!e||i.c==(I6(),Eve))&&s.g>i.b.g&&(a.c[a.c.length]=i);return a}function QOt(){QOt=I,B_e=new kA("CANDIDATE_POSITION_LAST_PLACED_RIGHT",0),P_e=new kA("CANDIDATE_POSITION_LAST_PLACED_BELOW",1),R_e=new kA("CANDIDATE_POSITION_WHOLE_DRAWING_RIGHT",2),F_e=new kA("CANDIDATE_POSITION_WHOLE_DRAWING_BELOW",3),$_e=new kA("WHOLE_DRAWING",4)}function JOt(t,e){if(aO(e,239))return hft(t,zz(e,33));if(aO(e,186))return Fft(t,zz(e,118));if(aO(e,354))return eX(t,zz(e,137));if(aO(e,352))return Jjt(t,zz(e,79));if(e)return null;throw qw(new $v(Y6t+NTt(new Qv(Ast(Zx(Dte,1),HKt,1,5,[e])))))}function tNt(t){var e,n,i,r,a,o,s;for(a=new VE,r=new Kd(t.d.a);r.a<r.c.c.length;)0==(i=zz(t0(r),121)).b.a.c.length&&r5(a,i,a.c.b,a.c);if(a.b>1)for(e=LN((n=new Hy,++t.b,n),t.d),s=lwt(a,0);s.b!=s.d.c;)o=zz(d3(s),121),GNt(oT(aT(sT(rT(new qy,1),0),e),o))}function eNt(t,e){var n,i;if(e!=t.Cb||t.Db>>16!=11&&e){if(mxt(t,e))throw qw(new $v(p6t+YFt(t)));i=null,t.Cb&&(i=(n=t.Db>>16)>=0?Sxt(t,i):t.Cb.ih(t,-1-n,null,i)),e&&(i=Pwt(e,t,10,i)),(i=UF(t,e,i))&&i.Fi()}else 0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new tY(t,1,11,e,e))}function nNt(t){var e,n,i,r;for(i=new cut(new Sd(t.b).a);i.b;)r=zz((n=nnt(i)).cd(),11),hct(e=zz(n.dd(),10),(hKt(),pfe),r),hct(r,_fe,e),hct(r,nfe,(lN(),!0)),ZAt(r,zz(vTt(e,Xhe),61)),vTt(e,Xhe),hct(r.i,(HGt(),nwe),(V_t(),WAe)),zz(vTt(yK(r.i),Jhe),21).Fc((gBt(),phe))}function iNt(t,e,n){var i,r,a;if(i=0,r=0,t.c)for(a=new Kd(t.d.i.j);a.a<a.c.c.length;)i+=zz(t0(a),11).e.c.length;else i=1;if(t.d)for(a=new Kd(t.c.i.j);a.a<a.c.c.length;)r+=zz(t0(a),11).g.c.length;else r=1;return(n+e)/2+.4*AQ(qq(r-i))*(n-e)}function rNt(t){var e,n;if(N_t(),t.Hc((kYt(),SMe)))throw qw(new $v("Port sides must not contain UNDEFINED"));switch(t.gc()){case 1:return Tue;case 2:return e=t.Hc(cMe)&&t.Hc(AMe),n=t.Hc(uMe)&&t.Hc(CMe),e||n?Aue:Sue;case 3:return Cue;case 4:return Eue;default:return null}}function aNt(t,e,n){var i,r,a,o;for(LEt(n,"Breaking Point Removing",1),t.a=zz(vTt(e,(HGt(),Jpe)),218),r=new Kd(e.b);r.a<r.c.c.length;)for(o=new Kd(o0(zz(t0(r),29).a));o.a<o.c.c.length;)Qtt(a=zz(t0(o),10))&&!(i=zz(vTt(a,(hKt(),Fhe)),305)).d&&YYt(t,i);HCt(n)}function oNt(t,e,n){return _Bt(),(!Fat(t,e)||!Fat(t,n))&&(vUt(new PA(t.c,t.d),new PA(t.c+t.b,t.d),e,n)||vUt(new PA(t.c+t.b,t.d),new PA(t.c+t.b,t.d+t.a),e,n)||vUt(new PA(t.c+t.b,t.d+t.a),new PA(t.c,t.d+t.a),e,n)||vUt(new PA(t.c,t.d+t.a),new PA(t.c,t.d),e,n))}function sNt(t,e){var n,i,r,a;if(!t.dc())for(n=0,i=t.gc();n<i;++n)if(null==(a=CB(t.Xb(n)))?null==e:mR(a.substr(0,3),"!##")?null!=e&&(r=e.length,!mR(a.substr(a.length-r,r),e)||a.length!=e.length+3)&&!mR(S9t,e):mR(a,A9t)&&!mR(S9t,e)||mR(a,e))return!0;return!1}function cNt(t,e,n,i){var r,a,o,s,c,u;for(o=t.j.c.length,c=P7(ore,aQt,306,o,0,1),s=0;s<o;s++)(a=zz(PH(t.j,s),11)).p=s,c[s]=hIt(vLt(a),n,i);for(XNt(t,c,n,e,i),u=new Pw,r=0;r<c.length;r++)c[r]&&WK(u,zz(PH(t.j,r),11),c[r]);u.f.c+u.g.c!=0&&(hct(t,(hKt(),Uhe),u),DCt(t,c))}function uNt(t,e,n){var i,r;for(i=new Kd(t.a.b);i.a<i.c.c.length;)if((r=h2(zz(t0(i),57)))&&r.k==(cCt(),Tse))switch(zz(vTt(r,(hKt(),Xhe)),61).g){case 4:r.n.a=e.a;break;case 2:r.n.a=n.a-(r.o.a+r.d.c);break;case 1:r.n.b=e.b;break;case 3:r.n.b=n.b-(r.o.b+r.d.a)}}function lNt(){lNt=I,Mye=new qS(VJt,0),Eye=new qS("NIKOLOV",1),Sye=new qS("NIKOLOV_PIXEL",2),Tye=new qS("NIKOLOV_IMPROVED",3),Cye=new qS("NIKOLOV_IMPROVED_PIXEL",4),_ye=new qS("DUMMYNODE_PERCENTAGE",5),Aye=new 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n,i,r,a;for(n=!e||!t.u.Hc((dMt(),nMe)),a=0,r=new Kd(t.e.Cf());r.a<r.c.c.length;){if((i=zz(t0(r),838)).Hf()==(kYt(),SMe))throw qw(new $v("Label and node size calculator can only be used with ports that have port sides assigned."));i.vf(a++),Wlt(t,i,n)}}function mNt(t,e){var n,i,r,a;return(i=e.Hh(t.a))&&(!i.b&&(i.b=new QP((wKt(),xDe),GDe,i)),null!=(n=CB(opt(i.b,J8t)))&&aO(a=-1==(r=n.lastIndexOf("#"))?sB(t,e.Aj(),n):0==r?T8(t,null,n.substr(1)):T8(t,n.substr(0,r),n.substr(r+1)),148))?zz(a,148):null}function vNt(t,e){var n,i,r,a;return(n=e.Hh(t.a))&&(!n.b&&(n.b=new QP((wKt(),xDe),GDe,n)),null!=(r=CB(opt(n.b,k9t)))&&aO(a=-1==(i=r.lastIndexOf("#"))?sB(t,e.Aj(),r):0==i?T8(t,null,r.substr(1)):T8(t,r.substr(0,i),r.substr(i+1)),148))?zz(a,148):null}function xNt(t){var e,n,i,r,a;for(n=new 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dKt(),Ast(Zx(sue,1),OWt,77,0,[rce,ece,ace,xce,jce,Tce,Yce,Ice,Rce,bce,Nce,Mce,$ce,fce,Kce,Wse,Oce,qce,kce,zce,Xce,Bce,Xse,Fce,Vce,Zce,Wce,_ce,uce,Ece,vce,Gce,Jse,sce,Sce,Qse,Ace,yce,dce,Lce,pce,nce,tce,mce,gce,Dce,Uce,Vse,Pce,wce,Cce,lce,cce,Hce,oce,hce,ice])}function TNt(t,e,n){t.d=0,t.b=0,e.k==(cCt(),Mse)&&n.k==Mse&&zz(vTt(e,(hKt(),pfe)),10)==zz(vTt(n,pfe),10)&&(C9(e).j==(kYt(),uMe)?ZDt(t,e,n):ZDt(t,n,e)),e.k==Mse&&n.k==Sse?C9(e).j==(kYt(),uMe)?t.d=1:t.b=1:n.k==Mse&&e.k==Sse&&(C9(n).j==(kYt(),uMe)?t.b=1:t.d=1),cmt(t,e,n)}function CNt(t){var e,n,i,r,a;return a=DEt(t),null!=t.a&&Lq(a,"category",t.a),!K_(new Ad(t.d))&&(ret(a,"knownOptions",i=new Af),e=new nw(i),n5(new Ad(t.d),e)),!K_(t.g)&&(ret(a,"supportedFeatures",r=new Af),n=new iw(r),n5(t.g,n)),a}function SNt(t){var e,n,i,r,a,o,s,c;for(e=336,n=0,r=new uF(t.length),s=0,c=(o=t).length;s<c;++s)Vft(a=o[s]),_K(a),i=a.a,Kz(r.a,vG(i)),e&=i.qd(),n=Qut(n,i.rd());return zz(zz(GY(new FH(null,ZEt(new g1((KG(),Pgt(r.a)),16),new x,e,n)),new 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null}while(n&&n.k!=(cCt(),Ase));return n}function UNt(t,e){var n,i,r,a,o,s,c,u,l;for(s=e.j,o=e.g,c=zz(PH(s,s.c.length-1),113),f1(0,s.c.length),u=tvt(t,o,c,l=zz(s.c[0],113)),a=1;a<s.c.length;a++)f1(a-1,s.c.length),n=zz(s.c[a-1],113),f1(a,s.c.length),(i=tvt(t,o,n,r=zz(s.c[a],113)))>u&&(c=n,l=r,u=i);e.a=l,e.c=c}function YNt(t,e){var n;if(!JY(t.b,e.b))throw qw(new jv("Invalid hitboxes for scanline constraint calculation."));(kst(e.b,zz(TF(t.b,e.b),57))||kst(e.b,zz(EF(t.b,e.b),57)))&&(DE(),e.b),t.a[e.b.f]=zz(xR(t.b,e.b),57),(n=zz(vR(t.b,e.b),57))&&(t.a[n.f]=e.b)}function GNt(t){if(!t.a.d||!t.a.e)throw qw(new jv((_B(qie),qie.k+" must have a source and target "+(_B(Hie),Hie.k+" specified."))));if(t.a.d==t.a.e)throw qw(new jv("Network simplex does not support self-loops: "+t.a+" "+t.a.d+" "+t.a.e));return FN(t.a.d.g,t.a),FN(t.a.e.b,t.a),t.a}function KNt(t,e,n){var i,r,a,o,s,c,u;for(u=new p_(new Qp(t)),s=0,c=(o=Ast(Zx(Zse,1),c1t,11,0,[e,n])).length;s<c;++s)for(a=o[s],Cct(u.a,a,(lN(),yee)),r=new 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n,i,r,a,o,s,c,u;for(s=zz(vTt(t,(hKt(),pfe)),11),c=Dct(Ast(Zx(STe,1),lWt,8,0,[s.i.n,s.n,s.a])).a,u=t.i.n.b,r=0,a=(i=J0(t.e)).length;r<a;++r)TJ(n=i[r],s),hI(n.a,new PA(c,u)),e&&((o=zz(vTt(n,(HGt(),ybe)),74))||(o=new xm,hct(n,ybe,o)),Bq(o,new PA(c,u)))}function uPt(t,e){var n,i,r,a,o,s,c,u;for(i=zz(vTt(t,(hKt(),pfe)),11),c=Dct(Ast(Zx(STe,1),lWt,8,0,[i.i.n,i.n,i.a])).a,u=t.i.n.b,o=0,s=(a=J0(t.g)).length;o<s;++o)CJ(r=a[o],i),lI(r.a,new PA(c,u)),e&&((n=zz(vTt(r,(HGt(),ybe)),74))||(n=new xm,hct(r,ybe,n)),Bq(n,new PA(c,u)))}function lPt(t,e){var n,i,r,a,o;for(t.b=new Nw,t.d=zz(vTt(e,(hKt(),Cfe)),230),t.e=a0(t.d),a=new VE,r=s6(Ast(Zx(kse,1),JJt,37,0,[e])),o=0;o<r.c.length;)f1(o,r.c.length),(i=zz(r.c[o],37)).p=o++,wst(r,(n=new MZt(i,t.a,t.b)).b),Kz(t.b,n),n.s&&tG(lwt(a,0),n);return t.c=new Fy,a}function hPt(t,e){var n,i,r,a,o,s;for(o=zz(zz(l6(t.r,e),21),84).Kc();o.Ob();)(n=(a=zz(o.Pb(),111)).c?Wq(a.c):0)>0?a.a?n>(s=a.b.rf().a)&&(r=(n-s)/2,a.d.b=r,a.d.c=r):a.d.c=t.s+n:qU(t.u)&&((i=jEt(a.b)).c<0&&(a.d.b=-i.c),i.c+i.b>a.b.rf().a&&(a.d.c=i.c+i.b-a.b.rf().a))}function fPt(t,e){var n,i;for(LEt(e,"Semi-Interactive Crossing Minimization Processor",1),n=!1,i=new Kd(t.b);i.a<i.c.c.length;)n|=null!=Oht(xet(LW(LW(new FH(null,new g1(zz(t0(i),29).a,16)),new Xi),new Vi),new Qi),new Ji).a;n&&hct(t,(hKt(),ofe),(lN(),!0)),HCt(e)}function dPt(t,e,n){var i,r,a;if(!(r=n)&&(r=new Gm),LEt(r,"Layout",t.a.c.length),Hv(EB(vTt(e,(MLt(),_xe)))))for(DE(),i=0;i<t.a.c.length;i++)i++,t_(nut(zz(PH(t.a,i),51)));for(a=new Kd(t.a);a.a<a.c.c.length;)zz(t0(a),51).pf(e,vat(r,1));HCt(r)}function gPt(t){var e,i;if(e=zz(t.a,19).a,i=zz(t.b,19).a,e>=0){if(e==i)return new rM(rft(-e-1),rft(-e-1));if(e==-i)return new rM(rft(-e),rft(i+1))}return n.Math.abs(e)>n.Math.abs(i)?new rM(rft(-e),rft(e<0?i:i+1)):new rM(rft(e+1),rft(i))}function pPt(t){var e,n;n=zz(vTt(t,(HGt(),xbe)),163),e=zz(vTt(t,(hKt(),ife)),303),n==(Tdt(),jfe)?(hct(t,xbe,Hfe),hct(t,ife,(U9(),Ahe))):n==qfe?(hct(t,xbe,Hfe),hct(t,ife,(U9(),Che))):e==(U9(),Ahe)?(hct(t,xbe,jfe),hct(t,ife,She)):e==Che&&(hct(t,xbe,qfe),hct(t,ife,She))}function bPt(){bPt=I,kve=new co,yve=pH(new z2,(xTt(),$oe),(dKt(),kce)),xve=KZ(pH(new z2,$oe,Bce),zoe,Pce),_ve=ubt(ubt(jT(KZ(pH(new z2,Foe,Yce),zoe,Uce),joe),Zce),Gce),mve=KZ(pH(pH(pH(new z2,Roe,Tce),joe,Sce),joe,Ace),zoe,Cce),vve=KZ(pH(pH(new z2,joe,Ace),joe,sce),zoe,oce)}function wPt(){wPt=I,Ave=pH(KZ(new z2,(xTt(),zoe),(dKt(),lce)),$oe,kce),Dve=ubt(ubt(jT(KZ(pH(new z2,Foe,Yce),zoe,Uce),joe),Zce),Gce),Mve=KZ(pH(pH(pH(new z2,Roe,Tce),joe,Sce),joe,Ace),zoe,Cce),Lve=pH(pH(new z2,$oe,Bce),zoe,Pce),Ive=KZ(pH(pH(new z2,joe,Ace),joe,sce),zoe,oce)}function yPt(t,e,n,i,r){var a,o;(d5(e)||e.c.i.c!=e.d.i.c)&&ert(Dct(Ast(Zx(STe,1),lWt,8,0,[r.i.n,r.n,r.a])),n)||d5(e)||(e.c==r?RP(e.a,0,new gL(n)):Bq(e.a,new gL(n)),i&&!jE(t.a,n)&&((o=zz(vTt(e,(HGt(),ybe)),74))||(o=new xm,hct(e,ybe,o)),r5(o,a=new gL(n),o.c.b,o.c),EY(t.a,a)))}function mPt(t){var e;for(e=new cU(JO(fdt(t).a.Kc(),new l));bLt(e);)if(zz(Y5(e),17).c.i.k!=(cCt(),Cse))throw qw(new rx(A1t+wvt(t)+"' has its layer constraint set to FIRST, but has at least one incoming edge that  does not come from a FIRST_SEPARATE node. 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e;if(1!=(!t.a&&(t.a=new nY(jIe,t,6,6)),t.a).i)throw qw(new $v(q5t+(!t.a&&(t.a=new nY(jIe,t,6,6)),t.a).i));return e=new xm,gst(zz(Wet((!t.b&&(t.b=new lR(RIe,t,4,7)),t.b),0),82))&&zrt(e,YGt(t,gst(zz(Wet((!t.b&&(t.b=new lR(RIe,t,4,7)),t.b),0),82)),!1)),gst(zz(Wet((!t.c&&(t.c=new lR(RIe,t,5,8)),t.c),0),82))&&zrt(e,YGt(t,gst(zz(Wet((!t.c&&(t.c=new lR(RIe,t,5,8)),t.c),0),82)),!0)),e}function ojt(t,e){var n,i,r;for(r=!1,i=new cU(JO((e.d?t.a.c==(bQ(),eve)?fdt(e.b):ddt(e.b):t.a.c==(bQ(),tve)?fdt(e.b):ddt(e.b)).a.Kc(),new l));bLt(i);)if(n=zz(Y5(i),17),(Hv(t.a.f[t.a.g[e.b.p].p])||d5(n)||n.c.i.c!=n.d.i.c)&&!Hv(t.a.n[t.a.g[e.b.p].p])&&!Hv(t.a.n[t.a.g[e.b.p].p])&&(r=!0,jE(t.b,t.a.g[Nmt(n,e.b).p])))return e.c=!0,e.a=n,e;return e.c=r,e.a=null,e}function sjt(t,e,n,i,r){var a,o,s,c,u,l,h;for(CX(),mD(t,new Ks),s=new T2(t,0),h=new Nw,a=0;s.b<s.d.gc();)SP(s.b<s.d.gc()),o=zz(s.d.Xb(s.c=s.b++),157),0!=h.c.length&&iZ(o)*nZ(o)>2*a?(l=new Uet(h),u=iZ(o)/nZ(o),c=xGt(l,e,new 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i,r,a,o,s,c,u,l;if(t.e=e,t.f=zz(vTt(e,(Crt(),loe)),230),KEt(e),t.d=n.Math.max(16*e.e.c.length+e.c.c.length,256),!Hv(EB(vTt(e,(fFt(),qae)))))for(l=t.e.e.c.length,c=new Kd(e.e);c.a<c.c.c.length;)(u=zz(t0(c),144).d).a=IZ(t.f)*l,u.b=IZ(t.f)*l;for(i=e.b,o=new Kd(e.c);o.a<o.c.c.length;)if(a=zz(t0(o),282),(r=zz(vTt(a,noe),19).a)>0){for(s=0;s<r;s++)Kz(i,new lG(a));qAt(a)}}function hjt(t,e){var i,r,a,o,s;if(t.k==(cCt(),Cse)&&(i=k_(LW(zz(vTt(t,(hKt(),Sfe)),15).Oc(),new og(new ri))).sd((pT(),eie))?e:(Kvt(),EAe),hct(t,sfe,i),i!=(Kvt(),_Ae)))for(r=zz(vTt(t,pfe),17),s=Zv(TB(vTt(r,(HGt(),obe)))),o=0,i==kAe?o=t.o.b-n.Math.ceil(s/2):i==EAe&&(t.o.b-=Zv(TB(vTt(yK(t),kwe))),o=(t.o.b-n.Math.ceil(s))/2),a=new Kd(t.j);a.a<a.c.c.length;)zz(t0(a),11).n.b=o}function fjt(){fjt=I,QT(),ENe=new Fl,Ast(Zx(LDe,2),lWt,368,0,[Ast(Zx(LDe,1),_te,592,0,[new Y_(Y9t)])]),Ast(Zx(LDe,2),lWt,368,0,[Ast(Zx(LDe,1),_te,592,0,[new Y_(G9t)])]),Ast(Zx(LDe,2),lWt,368,0,[Ast(Zx(LDe,1),_te,592,0,[new 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n,i,r,a,o,s,c,u,l;for(LEt(e,"Layer constraint edge reversal",1),o=new Kd(t.b);o.a<o.c.c.length;){for(a=zz(t0(o),29),l=-1,n=new Nw,u=t2(a.a),r=0;r<u.length;r++)i=zz(vTt(u[r],(hKt(),ife)),303),-1==l?i!=(U9(),Ahe)&&(l=r):i==(U9(),Ahe)&&(SJ(u[r],null),Vvt(u[r],l++,a)),i==(U9(),Che)&&Kz(n,u[r]);for(c=new Kd(n);c.a<c.c.c.length;)SJ(s=zz(t0(c),10),null),SJ(s,a)}HCt(e)}function bjt(t,e,n){var i,r,a,o,s,c,u,l;for(LEt(n,"Hyperedge merging",1),BLt(t,e),s=new T2(e.b,0);s.b<s.d.gc();)if(SP(s.b<s.d.gc()),0!=(u=zz(s.d.Xb(s.c=s.b++),29).a).c.length)for(i=null,r=null,a=null,o=null,c=0;c<u.c.length;c++)f1(c,u.c.length),(r=(i=zz(u.c[c],10)).k)==(cCt(),Sse)&&o==Sse&&(l=hqt(i,a)).a&&(aBt(i,a,l.b,l.c),f1(c,u.c.length),S_(u.c,c,1),--c,i=a,r=o),a=i,o=r;HCt(n)}function wjt(t,e){var n,i,r;i=0!=HDt(t.d,1),!Hv(EB(vTt(e.j,(hKt(),Qhe))))&&!Hv(EB(vTt(e.j,Mfe)))||ZM(vTt(e.j,(HGt(),Ope)))===ZM((vct(),Nye))?e.c.Tf(e.e,i):i=Hv(EB(vTt(e.j,Qhe))),FNt(t,e,i,!0),Hv(EB(vTt(e.j,Mfe)))&&hct(e.j,Mfe,(lN(),!1)),Hv(EB(vTt(e.j,Qhe)))&&(hct(e.j,Qhe,(lN(),!1)),hct(e.j,Mfe,!0)),n=iRt(t,e);do{if(Ort(t),0==n)return 0;r=n,FNt(t,e,i=!i,!1),n=iRt(t,e)}while(r>n);return r}function yjt(t,e){var n,i,r;i=0!=HDt(t.d,1),!Hv(EB(vTt(e.j,(hKt(),Qhe))))&&!Hv(EB(vTt(e.j,Mfe)))||ZM(vTt(e.j,(HGt(),Ope)))===ZM((vct(),Nye))?e.c.Tf(e.e,i):i=Hv(EB(vTt(e.j,Qhe))),FNt(t,e,i,!0),Hv(EB(vTt(e.j,Mfe)))&&hct(e.j,Mfe,(lN(),!1)),Hv(EB(vTt(e.j,Qhe)))&&(hct(e.j,Qhe,(lN(),!1)),hct(e.j,Mfe,!0)),n=eAt(t,e);do{if(Ort(t),0==n)return 0;r=n,FNt(t,e,i=!i,!1),n=eAt(t,e)}while(r>n);return r}function mjt(t,e,n){var i,r,a,o,s,c,u;if(e==n)return!0;if(e=gLt(t,e),n=gLt(t,n),i=Zyt(e)){if((c=Zyt(n))!=i)return!!c&&(o=i.Dj())==c.Dj()&&null!=o;if(!e.d&&(e.d=new DO(WLe,e,1)),r=(a=e.d).i,!n.d&&(n.d=new DO(WLe,n,1)),r==(u=n.d).i)for(s=0;s<r;++s)if(!mjt(t,zz(Wet(a,s),87),zz(Wet(u,s),87)))return!1;return!0}return e.e==n.e}function vjt(t,e,n,i){var r,a,o,s,c,u,l,h;if(OPt(t.e,e)){for(h=sPt(t.e.Tg(),e),a=zz(t.g,119),l=null,c=-1,s=-1,r=0,u=0;u<t.i;++u)o=a[u],h.rl(o.ak())&&(r==n&&(c=u),r==i&&(s=u,l=o.dd()),++r);if(-1==c)throw qw(new Lv(c7t+n+u7t+r));if(-1==s)throw qw(new Lv(l7t+i+u7t+r));return Ift(t,c,s),mL(t.e)&&Oy(t,OV(t,7,e,rft(i),l,n,!0)),l}throw qw(new $v("The feature must be many-valued to support move"))}function xjt(t,e,n,i){var r,a,o,s,c;switch((c=new gL(e.n)).a+=e.o.a/2,c.b+=e.o.b/2,s=Zv(TB(vTt(e,(HGt(),ewe)))),a=t.f,o=t.d,r=t.c,zz(vTt(e,(hKt(),Xhe)),61).g){case 1:c.a+=o.b+r.a-n/2,c.b=-i-s,e.n.b=-(o.d+s+r.b);break;case 2:c.a=a.a+o.b+o.c+s,c.b+=o.d+r.b-i/2,e.n.a=a.a+o.c+s-r.a;break;case 3:c.a+=o.b+r.a-n/2,c.b=a.b+o.d+o.a+s,e.n.b=a.b+o.a+s-r.b;break;case 4:c.a=-n-s,c.b+=o.d+r.b-i/2,e.n.a=-(o.b+s+r.a)}return c}function kjt(t){var e,n,i,r,a,o;return Zot(i=new vit,t),ZM(vTt(i,(HGt(),Ype)))===ZM((zht(),zSe))&&hct(i,Ype,Wft(i)),null==vTt(i,(A6(),ETe))&&(o=zz(OTt(t),160),hct(i,ETe,iI(o.We(ETe)))),hct(i,(hKt(),pfe),t),hct(i,Jhe,new VR(e=zz(Wk(Ehe),9),zz(CF(e,e.length),9),0)),r=AUt((QQ(t)&&(ZT(),new Bv(QQ(t))),ZT(),new QN(QQ(t)?new Bv(QQ(t)):null,t)),jSe),a=zz(vTt(i,Ube),116),nJ(n=i.d,a),nJ(n,r),i}function _jt(t,e,n){var i,r;i=e.c.i,r=n.d.i,i.k==(cCt(),Sse)?(hct(t,(hKt(),lfe),zz(vTt(i,lfe),11)),hct(t,hfe,zz(vTt(i,hfe),11)),hct(t,ufe,EB(vTt(i,ufe)))):i.k==Cse?(hct(t,(hKt(),lfe),zz(vTt(i,lfe),11)),hct(t,hfe,zz(vTt(i,hfe),11)),hct(t,ufe,(lN(),!0))):r.k==Cse?(hct(t,(hKt(),lfe),zz(vTt(r,lfe),11)),hct(t,hfe,zz(vTt(r,hfe),11)),hct(t,ufe,(lN(),!0))):(hct(t,(hKt(),lfe),e.c),hct(t,hfe,n.d))}function Ejt(t){var e,n,i,r,a,o,s;for(t.o=new Ow,i=new VE,o=new Kd(t.e.a);o.a<o.c.c.length;)1==kdt(a=zz(t0(o),121)).c.length&&r5(i,a,i.c.b,i.c);for(;0!=i.b;)0!=kdt(a=zz(0==i.b?null:(SP(0!=i.b),Det(i,i.a.a)),121)).c.length&&(e=zz(PH(kdt(a),0),213),n=a.g.a.c.length>0,s=Pdt(e,a),RN(n?s.b:s.g,e),1==kdt(s).c.length&&r5(i,s,i.c.b,i.c),r=new rM(a,e),p3(t.o,r),v9(t.e.a,a))}function Tjt(t,e){var i,r,a,o;return r=n.Math.abs(HU(t.b).a-HU(e.b).a),o=n.Math.abs(HU(t.b).b-HU(e.b).b),i=1,a=1,r>t.b.b/2+e.b.b/2&&(i=1-n.Math.min(n.Math.abs(t.b.c-(e.b.c+e.b.b)),n.Math.abs(t.b.c+t.b.b-e.b.c))/r),o>t.b.a/2+e.b.a/2&&(a=1-n.Math.min(n.Math.abs(t.b.d-(e.b.d+e.b.a)),n.Math.abs(t.b.d+t.b.a-e.b.d))/o),(1-n.Math.min(i,a))*n.Math.sqrt(r*r+o*o)}function Cjt(t){var e,n,i;for(eYt(t,t.e,t.f,(pQ(),Ove),!0,t.c,t.i),eYt(t,t.e,t.f,Ove,!1,t.c,t.i),eYt(t,t.e,t.f,Nve,!0,t.c,t.i),eYt(t,t.e,t.f,Nve,!1,t.c,t.i),Ijt(t,t.c,t.e,t.f,t.i),n=new T2(t.i,0);n.b<n.d.gc();)for(SP(n.b<n.d.gc()),e=zz(n.d.Xb(n.c=n.b++),128),i=new T2(t.i,n.b);i.b<i.d.gc();)SP(i.b<i.d.gc()),PHt(e,zz(i.d.Xb(i.c=i.b++),128));IGt(t.i,zz(vTt(t.d,(hKt(),Cfe)),230)),UZt(t.i)}function Sjt(t,e){var n,i;if(null!=e)if(i=rvt(t)){if(0==(1&i.i))return tC(),!(n=zz(FG(mLe,i),55))||n.wj(e);if(i==DNe)return UM(e);if(i==LNe)return aO(e,19);if(i==BNe)return aO(e,155);if(i==NNe)return aO(e,217);if(i==INe)return aO(e,172);if(i==PNe)return YM(e);if(i==FNe)return aO(e,184);if(i==ONe)return aO(e,162)}else if(aO(e,56))return t.uk(zz(e,56));return!1}function Ajt(){var t,e,n,i,r,a,o,s,c;for(Ajt=I,KOe=P7(NNe,m6t,25,255,15,1),WOe=P7(INe,WWt,25,64,15,1),e=0;e<255;e++)KOe[e]=-1;for(n=90;n>=65;n--)KOe[n]=n-65<<24>>24;for(i=122;i>=97;i--)KOe[i]=i-97+26<<24>>24;for(r=57;r>=48;r--)KOe[r]=r-48+52<<24>>24;for(KOe[43]=62,KOe[47]=63,a=0;a<=25;a++)WOe[a]=65+a&VWt;for(o=26,c=0;o<=51;++o,c++)WOe[o]=97+c&VWt;for(t=52,s=0;t<=61;++t,s++)WOe[t]=48+s&VWt;WOe[62]=43,WOe[63]=47}function Mjt(t,e){var i,r,a,o,s,c,u,l,h,f,d;if(t.dc())return new Zk;for(u=0,h=0,r=t.Kc();r.Ob();)a=zz(r.Pb(),37).f,u=n.Math.max(u,a.a),h+=a.a*a.b;for(u=n.Math.max(u,n.Math.sqrt(h)*Zv(TB(vTt(zz(t.Kc().Pb(),37),(HGt(),_pe))))),f=0,d=0,c=0,i=e,s=t.Kc();s.Ob();)f+(l=(o=zz(s.Pb(),37)).f).a>u&&(f=0,d+=c+e,c=0),tRt(o,f,d),i=n.Math.max(i,f+l.a),c=n.Math.max(c,l.b),f+=l.a+e;return new PA(i+e,d+c+e)}function Ijt(t,e,n,i,r){var a,o,s,c,u,l,h;for(o=new Kd(e);o.a<o.c.c.length;){if(c=(a=zz(t0(o),17)).c,n.a._b(c))pQ(),u=Ove;else{if(!i.a._b(c))throw qw(new $v("Source port must be in one of the port sets."));pQ(),u=Nve}if(l=a.d,n.a._b(l))pQ(),h=Ove;else{if(!i.a._b(l))throw qw(new $v("Target port must be in one of the port sets."));pQ(),h=Nve}s=new nAt(a,u,h),WK(t.b,a,s),r.c[r.c.length]=s}}function Ljt(t,e){var n,i,r,a,o,s,c;if(!KQ(t))throw qw(new jv(z5t));if(a=(i=KQ(t)).g,r=i.f,a<=0&&r<=0)return kYt(),SMe;switch(s=t.i,c=t.j,e.g){case 2:case 1:if(s<0)return kYt(),AMe;if(s+t.g>a)return kYt(),cMe;break;case 4:case 3:if(c<0)return kYt(),uMe;if(c+t.f>r)return kYt(),CMe}return(o=(s+t.g/2)/a)+(n=(c+t.f/2)/r)<=1&&o-n<=0?(kYt(),AMe):o+n>=1&&o-n>=0?(kYt(),cMe):n<.5?(kYt(),uMe):(kYt(),CMe)}function Djt(t,e,n,i,r){var a,o;if(a=adt(n0(e[0],GXt),n0(i[0],GXt)),t[0]=pZ(a),a=xU(a,32),n>=r){for(o=1;o<r;o++)a=adt(a,adt(n0(e[o],GXt),n0(i[o],GXt))),t[o]=pZ(a),a=xU(a,32);for(;o<n;o++)a=adt(a,n0(e[o],GXt)),t[o]=pZ(a),a=xU(a,32)}else{for(o=1;o<n;o++)a=adt(a,adt(n0(e[o],GXt),n0(i[o],GXt))),t[o]=pZ(a),a=xU(a,32);for(;o<r;o++)a=adt(a,n0(i[o],GXt)),t[o]=pZ(a),a=xU(a,32)}0!=Xlt(a,0)&&(t[o]=pZ(a))}function Ojt(t){var e,n,i,r,a,o;if(pKt(),4!=t.e&&5!=t.e)throw qw(new $v("Token#complementRanges(): must be RANGE: "+t.e));for(TDt(a=t),Zqt(a),i=a.b.length+2,0==a.b[0]&&(i-=2),(n=a.b[a.b.length-1])==cte&&(i-=2),(r=new T0(4)).b=P7(LNe,hXt,25,i,15,1),o=0,a.b[0]>0&&(r.b[o++]=0,r.b[o++]=a.b[0]-1),e=1;e<a.b.length-2;e+=2)r.b[o++]=a.b[e]+1,r.b[o++]=a.b[e+1]-1;return n!=cte&&(r.b[o++]=n+1,r.b[o]=cte),r.a=!0,r}function Njt(t,e,n){var i,r,a,o,s,c,u,l;if(0==(i=n.gc()))return!1;if(t.ej())if(u=t.fj(),qEt(t,e,n),o=1==i?t.Zi(3,null,n.Kc().Pb(),e,u):t.Zi(5,null,n,e,u),t.bj()){for(s=i<100?null:new jk(i),a=e+i,r=e;r<a;++r)l=t.g[r],s=t.cj(l,s),s=t.jj(l,s);s?(s.Ei(o),s.Fi()):t.$i(o)}else t.$i(o);else if(qEt(t,e,n),t.bj()){for(s=i<100?null:new jk(i),a=e+i,r=e;r<a;++r)c=t.g[r],s=t.cj(c,s);s&&s.Fi()}return!0}function Pjt(t,e,n,i){var r,a,o,s,c;for(o=new Kd(t.k);o.a<o.c.c.length;)r=zz(t0(o),129),i&&r.c!=(I6(),Eve)||(c=r.b).g<0&&r.d>0&&(Wf(c,c.d-r.d),r.c==(I6(),Eve)&&Gf(c,c.a-r.d),c.d<=0&&c.i>0&&r5(e,c,e.c.b,e.c));for(a=new Kd(t.f);a.a<a.c.c.length;)r=zz(t0(a),129),i&&r.c!=(I6(),Eve)||(s=r.a).g<0&&r.d>0&&(Xf(s,s.i-r.d),r.c==(I6(),Eve)&&Kf(s,s.b-r.d),s.i<=0&&s.d>0&&r5(n,s,n.c.b,n.c))}function Bjt(t,e,n){var i,r,a,o,s,c,u,l;for(LEt(n,"Processor compute fanout",1),DY(t.b),DY(t.a),s=null,a=lwt(e.b,0);!s&&a.b!=a.d.c;)Hv(EB(vTt(u=zz(d3(a),86),(ZHt(),pxe))))&&(s=u);for(r5(c=new VE,s,c.c.b,c.c),_Yt(t,c),l=lwt(e.b,0);l.b!=l.d.c;)o=CB(vTt(u=zz(d3(l),86),(ZHt(),rxe))),r=null!=CQ(t.b,o)?zz(CQ(t.b,o),19).a:0,hct(u,ixe,rft(r)),i=1+(null!=CQ(t.a,o)?zz(CQ(t.a,o),19).a:0),hct(u,exe,rft(i));HCt(n)}function Fjt(t,e,n,i,r){var a,o,s,c,u,l,h,f,d;for(h=x_t(t,n),s=0;s<e;s++){for(vF(r,n),f=new Nw,SP(i.b<i.d.gc()),d=zz(i.d.Xb(i.c=i.b++),407),u=h+s;u<t.b;u++)o=d,SP(i.b<i.d.gc()),Kz(f,new EPt(o,d=zz(i.d.Xb(i.c=i.b++),407),n));for(l=h+s;l<t.b;l++)SP(i.b>0),i.a.Xb(i.c=--i.b),l>h+s&&hK(i);for(a=new Kd(f);a.a<a.c.c.length;)vF(i,zz(t0(a),407));if(s<e-1)for(c=h+s;c<t.b;c++)SP(i.b>0),i.a.Xb(i.c=--i.b)}}function Rjt(){var t,e,n,i,r,a;if(pKt(),ANe)return ANe;for(lqt(t=new T0(4),tGt(yte,!0)),WZt(t,tGt("M",!0)),WZt(t,tGt("C",!0)),a=new T0(4),i=0;i<11;i++)QPt(a,i,i);return lqt(e=new T0(4),tGt("M",!0)),QPt(e,4448,4607),QPt(e,65438,65439),nHt(r=new rD(2),t),nHt(r,uNe),(n=new rD(2)).$l(bZ(a,tGt("L",!0))),n.$l(e),n=new l4(3,n),n=new YY(r,n),ANe=n}function $jt(t){var e,n;if(!Qat(e=CB(tDt(t,(lKt(),nCe))),t)&&!S7(t,mSe)&&(0!=(!t.a&&(t.a=new nY(YIe,t,10,11)),t.a).i||Hv(EB(tDt(t,CCe))))){if(null!=e&&0!=RTt(e).length)throw wUt(t,n=cI(cI(new fN("Layout algorithm '"),e),"' not found for ")),qw(new rx(n.a));if(!Qat(p1t,t))throw wUt(t,n=cI(cI(new fN("Unable to load default layout algorithm "),p1t)," for unconfigured node ")),qw(new rx(n.a))}}function jjt(t){var e,i,r,a,o,s,c,u,l,h,f,d,g;if(i=t.i,e=t.n,0==t.b)for(g=i.c+e.b,d=i.b-e.b-e.c,u=0,h=(s=t.a).length;u<h;++u)YZ(a=s[u],g,d);else r=Wyt(t,!1),YZ(t.a[0],i.c+e.b,r[0]),YZ(t.a[2],i.c+i.b-e.c-r[2],r[2]),f=i.b-e.b-e.c,r[0]>0&&(f-=r[0]+t.c,r[0]+=t.c),r[2]>0&&(f-=r[2]+t.c),r[1]=n.Math.max(r[1],f),YZ(t.a[1],i.c+e.b+r[0]-(r[1]-f)/2,r[1]);for(c=0,l=(o=t.a).length;c<l;++c)aO(a=o[c],326)&&zz(a,326).Te()}function zjt(t){var e,n,i,r,a,o,s,c,u,l,h;for((h=new oo).d=0,o=new Kd(t.b);o.a<o.c.c.length;)a=zz(t0(o),29),h.d+=a.a.c.length;for(i=0,r=0,h.a=P7(LNe,hXt,25,t.b.c.length,15,1),u=0,l=0,h.e=P7(LNe,hXt,25,h.d,15,1),n=new Kd(t.b);n.a<n.c.c.length;)for((e=zz(t0(n),29)).p=i++,h.a[e.p]=r++,l=0,c=new Kd(e.a);c.a<c.c.c.length;)(s=zz(t0(c),10)).p=u++,h.e[s.p]=l++;return h.c=new hb(h),h.b=uP(h.d),H$t(h,t),h.f=uP(h.d),Z$t(h,t),h}function qjt(t,e){var i,r,a;for(a=zz(PH(t.n,t.n.c.length-1),211).d,t.p=n.Math.min(t.p,e.g),t.r=n.Math.max(t.r,a),t.g=n.Math.max(t.g,e.g+(1==t.b.c.length?0:t.i)),t.o=n.Math.min(t.o,e.f),t.e+=e.f+(1==t.b.c.length?0:t.i),t.f=n.Math.max(t.f,e.f),r=t.n.c.length>0?(t.n.c.length-1)*t.i:0,i=new Kd(t.n);i.a<i.c.c.length;)r+=zz(t0(i),211).a;t.d=r,t.a=t.e/t.b.c.length-t.i*((t.b.c.length-1)/t.b.c.length),xvt(t.j)}function Hjt(t,e){var n,i,r,a,o,s,c,u,l;if(null==(u=EB(vTt(e,(fFt(),ioe))))||(xK(u),u)){for(l=P7(DNe,tQt,25,e.e.c.length,16,1),o=kIt(e),r=new VE,c=new Kd(e.e);c.a<c.c.c.length;)(n=QDt(t,zz(t0(c),144),null,null,l,o))&&(Zot(n,e),r5(r,n,r.c.b,r.c));if(r.b>1)for(i=lwt(r,0);i.b!=i.d.c;)for(a=0,s=new Kd((n=zz(d3(i),231)).e);s.a<s.c.c.length;)zz(t0(s),144).b=a++;return r}return 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e,i,r,a,o,s,c,u,l,h,f,d;if(c=t.d,f=zz(vTt(t,(hKt(),Rfe)),15),e=zz(vTt(t,Bhe),15),f||e){if(o=Zv(TB(ipt(t,(HGt(),wwe)))),s=Zv(TB(ipt(t,ywe))),d=0,f){for(l=0,a=f.Kc();a.Ob();)r=zz(a.Pb(),10),l=n.Math.max(l,r.o.b),d+=r.o.a;d+=o*(f.gc()-1),c.d+=l+s}if(i=0,e){for(l=0,a=e.Kc();a.Ob();)r=zz(a.Pb(),10),l=n.Math.max(l,r.o.b),i+=r.o.a;i+=o*(e.gc()-1),c.a+=l+s}(u=n.Math.max(d,i))>t.o.a&&(h=(u-t.o.a)/2,c.b=n.Math.max(c.b,h),c.c=n.Math.max(c.c,h))}}function iqt(t){var e,n,i,r,a,o;for(aL(r=new F0,(Pst(),QEe)),i=new Cd(new Qv(new EE(t,_rt(t,P7(Vee,lWt,2,0,6,1))).b));i.b<i.d.gc();)SP(i.b<i.d.gc()),n=CB(i.d.Xb(i.c=i.b++)),(a=yZt(fLe,n))&&null!=(o=tZt(a,(e=UQ(t,n)).je()?e.je().a:e.ge()?""+e.ge().a:e.he()?""+e.he().a:e.Ib()))&&((CN(a.j,(awt(),uTe))||CN(a.j,lTe))&&lct(Vtt(r,YIe),a,o),CN(a.j,sTe)&&lct(Vtt(r,$Ie),a,o),CN(a.j,hTe)&&lct(Vtt(r,GIe),a,o),CN(a.j,cTe)&&lct(Vtt(r,UIe),a,o));return r}function rqt(t,e,n,i){var r,a,o,s,c,u;if(c=sPt(t.e.Tg(),e),a=zz(t.g,119),OPt(t.e,e)){for(r=0,s=0;s<t.i;++s)if(o=a[s],c.rl(o.ak())){if(r==n)return JT(),zz(e,66).Oj()?o:(null!=(u=o.dd())&&i&&aO(e,99)&&0!=(zz(e,18).Bb&qXt)&&(u=zMt(t,e,s,r,u)),u);++r}throw qw(new Lv(i8t+n+u7t+r))}for(r=0,s=0;s<t.i;++s){if(o=a[s],c.rl(o.ak()))return JT(),zz(e,66).Oj()?o:(null!=(u=o.dd())&&i&&aO(e,99)&&0!=(zz(e,18).Bb&qXt)&&(u=zMt(t,e,s,r,u)),u);++r}return e.zj()}function aqt(t,e,n){var i,r,a,o,s,c,u,l;if(r=zz(t.g,119),OPt(t.e,e))return JT(),zz(e,66).Oj()?new fH(e,t):new PM(e,t);for(u=sPt(t.e.Tg(),e),i=0,s=0;s<t.i;++s){if(o=(a=r[s]).ak(),u.rl(o)){if(JT(),zz(e,66).Oj())return a;if(o==(TIt(),fOe)||o==uOe){for(c=new fN(qdt(a.dd()));++s<t.i;)((o=(a=r[s]).ak())==fOe||o==uOe)&&cI(c,qdt(a.dd()));return bR(zz(e.Yj(),148),c.a)}return null!=(l=a.dd())&&n&&aO(e,99)&&0!=(zz(e,18).Bb&qXt)&&(l=zMt(t,e,s,i,l)),l}++i}return e.zj()}function oqt(t,e,i){var r,a,o,s,c,u,l,h,f,d;for(o=0,s=t.t,a=0,r=0,u=0,d=0,f=0,i&&(t.n.c=P7(Dte,HKt,1,0,5,1),Kz(t.n,new FQ(t.s,t.t,t.i))),c=0,h=new Kd(t.b);h.a<h.c.c.length;)o+(l=zz(t0(h),33)).g+(c>0?t.i:0)>e&&u>0&&(o=0,s+=u+t.i,a=n.Math.max(a,d),r+=u+t.i,u=0,d=0,i&&(++f,Kz(t.n,new FQ(t.s,s,t.i))),c=0),d+=l.g+(c>0?t.i:0),u=n.Math.max(u,l.f),i&&lmt(zz(PH(t.n,f),211),l),o+=l.g+(c>0?t.i:0),++c;return a=n.Math.max(a,d),r+=u,i&&(t.r=a,t.d=r,xvt(t.j)),new YW(t.s,t.t,a,r)}function sqt(t,e,n,i,r){var a,o,s,c,u,l,h,f,d;if(DE(),CY(t,"src"),CY(n,"dest"),f=nut(t),c=nut(n),wq(0!=(4&f.i),"srcType is not an array"),wq(0!=(4&c.i),"destType is not an array"),h=f.c,o=c.c,wq(0!=(1&h.i)?h==o:0==(1&o.i),"Array types don't match"),d=t.length,u=n.length,e<0||i<0||r<0||e+r>d||i+r>u)throw qw(new hy);if(0==(1&h.i)&&f!=c)if(l=int(t),a=int(n),ZM(t)===ZM(n)&&e<i)for(e+=r,s=i+r;s-- >i;)DG(a,s,l[--e]);else for(s=i+r;i<s;)DG(a,i++,l[e++]);else r>0&&jAt(t,e,n,i,r,!0)}function cqt(){cqt=I,ane=Ast(Zx(LNe,1),hXt,25,15,[jWt,1162261467,LWt,1220703125,362797056,1977326743,LWt,387420489,DXt,214358881,429981696,815730721,1475789056,170859375,268435456,410338673,612220032,893871739,128e7,1801088541,113379904,148035889,191102976,244140625,308915776,387420489,481890304,594823321,729e6,887503681,LWt,1291467969,1544804416,1838265625,60466176]),one=Ast(Zx(LNe,1),hXt,25,15,[-1,-1,31,19,15,13,11,11,10,9,9,8,8,8,8,7,7,7,7,7,7,7,6,6,6,6,6,6,6,6,6,6,6,6,6,6,5])}function uqt(t){var e,n,i,r,a,o,s;for(i=new Kd(t.b);i.a<i.c.c.length;)for(a=new Kd(o0(zz(t0(i),29).a));a.a<a.c.c.length;)if(Jtt(r=zz(t0(a),10))&&!(n=zz(vTt(r,(hKt(),Fhe)),305)).g&&n.d)for(e=n,s=n.d;s;)iFt(s.i,s.k,!1,!0),L9(e.a),L9(s.i),L9(s.k),L9(s.b),TJ(s.c,e.c.d),TJ(e.c,null),SJ(e.a,null),SJ(s.i,null),SJ(s.k,null),SJ(s.b,null),(o=new y3(e.i,s.a,e.e,s.j,s.f)).k=e.k,o.n=e.n,o.b=e.b,o.c=s.c,o.g=e.g,o.d=s.d,hct(e.i,Fhe,o),hct(s.a,Fhe,o),s=s.d,e=o}function lqt(t,e){var n,i,r,a,o;if(o=zz(e,136),TDt(t),TDt(o),null!=o.b){if(t.c=!0,null==t.b)return t.b=P7(LNe,hXt,25,o.b.length,15,1),void sqt(o.b,0,t.b,0,o.b.length);for(a=P7(LNe,hXt,25,t.b.length+o.b.length,15,1),n=0,i=0,r=0;n<t.b.length||i<o.b.length;)n>=t.b.length?(a[r++]=o.b[i++],a[r++]=o.b[i++]):i>=o.b.length?(a[r++]=t.b[n++],a[r++]=t.b[n++]):o.b[i]<t.b[n]||o.b[i]===t.b[n]&&o.b[i+1]<t.b[n+1]?(a[r++]=o.b[i++],a[r++]=o.b[i++]):(a[r++]=t.b[n++],a[r++]=t.b[n++]);t.b=a}}function hqt(t,e){var n,i,r,a,o,s,c,u,l,h;return n=Hv(EB(vTt(t,(hKt(),ufe)))),s=Hv(EB(vTt(e,ufe))),i=zz(vTt(t,lfe),11),c=zz(vTt(e,lfe),11),r=zz(vTt(t,hfe),11),u=zz(vTt(e,hfe),11),l=!!i&&i==c,h=!!r&&r==u,n||s?(a=(!Hv(EB(vTt(t,ufe)))||Hv(EB(vTt(t,cfe))))&&(!Hv(EB(vTt(e,ufe)))||Hv(EB(vTt(e,cfe)))),o=!(Hv(EB(vTt(t,ufe)))&&Hv(EB(vTt(t,cfe)))||Hv(EB(vTt(e,ufe)))&&Hv(EB(vTt(e,cfe)))),new F$(l&&a||h&&o,l,h)):new F$(zz(t0(new Kd(t.j)),11).p==zz(t0(new Kd(e.j)),11).p,l,h)}function fqt(t){var e,i,r,a,o,s,c,u;for(r=0,i=0,u=new VE,e=0,c=new Kd(t.n);c.a<c.c.c.length;)0==(s=zz(t0(c),211)).c.c.length?r5(u,s,u.c.b,u.c):(r=n.Math.max(r,s.d),i+=s.a+(e>0?t.i:0)),++e;for(egt(t.n,u),t.d=i,t.r=r,t.g=0,t.f=0,t.e=0,t.o=RXt,t.p=RXt,o=new Kd(t.b);o.a<o.c.c.length;)a=zz(t0(o),33),t.p=n.Math.min(t.p,a.g),t.g=n.Math.max(t.g,a.g),t.f=n.Math.max(t.f,a.f),t.o=n.Math.min(t.o,a.f),t.e+=a.f+t.i;t.a=t.e/t.b.c.length-t.i*((t.b.c.length-1)/t.b.c.length),xvt(t.j)}function dqt(t){var e,n,i,r;return 0!=(64&t.Db)?Qft(t):(e=new fN(X5t),(i=t.k)?cI(cI((e.a+=' "',e),i),'"'):(!t.n&&(t.n=new nY(UIe,t,1,7)),t.n.i>0&&(!(r=(!t.n&&(t.n=new nY(UIe,t,1,7)),zz(Wet(t.n,0),137)).a)||cI(cI((e.a+=' "',e),r),'"'))),!t.b&&(t.b=new lR(RIe,t,4,7)),n=!(t.b.i<=1&&(!t.c&&(t.c=new lR(RIe,t,5,8)),t.c.i<=1)),e.a+=n?" [":" ",cI(e,QO(new mx,new LO(t.b))),n&&(e.a+="]"),e.a+=i1t,n&&(e.a+="["),cI(e,QO(new mx,new LO(t.c))),n&&(e.a+="]"),e.a)}function gqt(t,e){var n,i,r,a,o,s,c;if(t.a){if(c=null,null!=(s=t.a.ne())?e.a+=""+s:null!=(o=t.a.Dj())&&(-1!=(a=ZI(o,QEt(91)))?(c=o.substr(a),e.a+=""+hP(null==o?YKt:(xK(o),o),0,a)):e.a+=""+o),t.d&&0!=t.d.i){for(r=!0,e.a+="<",i=new LO(t.d);i.e!=i.i.gc();)n=zz(kwt(i),87),r?r=!1:e.a+=zKt,gqt(n,e);e.a+=">"}null!=c&&(e.a+=""+c)}else t.e?null!=(s=t.e.zb)&&(e.a+=""+s):(e.a+="?",t.b?(e.a+=" super ",gqt(t.b,e)):t.f&&(e.a+=" extends ",gqt(t.f,e)))}function pqt(t,e){var n,i,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x,k,_,E,T;for(v=t.c,x=e.c,n=_9(v.a,t,0),i=_9(x.a,e,0),y=zz(Bgt(t,(sit(),qye)).Kc().Pb(),11),E=zz(Bgt(t,Hye).Kc().Pb(),11),m=zz(Bgt(e,qye).Kc().Pb(),11),T=zz(Bgt(e,Hye).Kc().Pb(),11),b=J0(y.e),k=J0(E.g),w=J0(m.e),_=J0(T.g),Vvt(t,i,x),u=0,d=(a=w).length;u<d;++u)TJ(a[u],y);for(l=0,g=(o=_).length;l<g;++l)CJ(o[l],E);for(Vvt(e,n,v),h=0,p=(s=b).length;h<p;++h)TJ(s[h],m);for(c=0,f=(r=k).length;c<f;++c)CJ(r[c],T)}function bqt(t,e,n,i){var r,a,o,s,c,u;if(a=Wft(i),!Hv(EB(vTt(i,(HGt(),Mbe))))&&!Hv(EB(vTt(t,dbe)))||yL(zz(vTt(t,nwe),98)))switch(AJ(s=new MCt,t),e?((u=s.n).a=e.a-t.n.a,u.b=e.b-t.n.b,WCt(u,0,0,t.o.a,t.o.b),ZAt(s,Y$t(s,a))):(r=hgt(a),ZAt(s,n==(sit(),Hye)?r:Tft(r))),o=zz(vTt(i,(hKt(),Jhe)),21),c=s.j,a.g){case 2:case 1:(c==(kYt(),uMe)||c==CMe)&&o.Fc((gBt(),bhe));break;case 4:case 3:(c==(kYt(),cMe)||c==AMe)&&o.Fc((gBt(),bhe))}else r=hgt(a),s=R$t(t,n,n==(sit(),Hye)?r:Tft(r));return s}function wqt(t,e,i){var r,a,o,s,c,u,l;return n.Math.abs(e.s-e.c)<dJt||n.Math.abs(i.s-i.c)<dJt?0:(r=WNt(t,e.j,i.e),a=WNt(t,i.j,e.e),o=0,-1==r||-1==a?(-1==r&&(new UJ((I6(),Eve),i,e,1),++o),-1==a&&(new UJ((I6(),Eve),e,i,1),++o)):(s=Tht(e.j,i.s,i.c),s+=Tht(i.e,e.s,e.c),c=Tht(i.j,e.s,e.c),(u=r+16*s)<(l=a+16*(c+=Tht(e.e,i.s,i.c)))?new UJ((I6(),Tve),e,i,l-u):u>l?new UJ((I6(),Tve),i,e,u-l):u>0&&l>0&&(new UJ((I6(),Tve),e,i,0),new UJ(Tve,i,e,0))),o)}function yqt(t,e){var i,r,a,o,s;for(s=new cut(new Sd(t.f.b).a);s.b;){if(a=zz((o=nnt(s)).cd(),594),1==e){if(a.gf()!=(zht(),qSe)&&a.gf()!=RSe)continue}else if(a.gf()!=(zht(),$Se)&&a.gf()!=jSe)continue;switch(r=zz(zz(o.dd(),46).b,81),i=zz(zz(o.dd(),46).a,189).c,a.gf().g){case 2:r.g.c=t.e.a,r.g.b=n.Math.max(1,r.g.b+i);break;case 1:r.g.c=r.g.c+i,r.g.b=n.Math.max(1,r.g.b-i);break;case 4:r.g.d=t.e.b,r.g.a=n.Math.max(1,r.g.a+i);break;case 3:r.g.d=r.g.d+i,r.g.a=n.Math.max(1,r.g.a-i)}}}function mqt(t,e){var i,r,a,o,s,c,u,l,h,f,d,g,p,b;for(c=P7(LNe,hXt,25,e.b.c.length,15,1),l=P7(Dse,OWt,267,e.b.c.length,0,1),u=P7(Ise,s1t,10,e.b.c.length,0,1),d=0,g=(f=t.a).length;d<g;++d){for(b=0,s=new Kd((h=f[d]).e);s.a<s.c.c.length;)++c[r=eL((a=zz(t0(s),10)).c)],p=Zv(TB(vTt(e,(HGt(),vwe)))),c[r]>0&&u[r]&&(p=RD(t.b,u[r],a)),b=n.Math.max(b,a.c.c.b+p);for(o=new Kd(h.e);o.a<o.c.c.length;)(a=zz(t0(o),10)).n.b=b+a.d.d,(i=a.c).c.b=b+a.d.d+a.o.b+a.d.a,l[_9(i.b.b,i,0)]=a.k,u[_9(i.b.b,i,0)]=a}}function vqt(t,e){var n,i,r,a,o,s,c,u,h,f,d;for(i=new cU(JO(bOt(e).a.Kc(),new l));bLt(i);)aO(Wet((!(n=zz(Y5(i),79)).b&&(n.b=new lR(RIe,n,4,7)),n.b),0),186)||(c=AEt(zz(Wet((!n.c&&(n.c=new lR(RIe,n,5,8)),n.c),0),82)),eLt(n)||(o=e.i+e.g/2,s=e.j+e.f/2,h=c.i+c.g/2,f=c.j+c.f/2,(d=new Zk).a=h-o,d.b=f-s,Gxt(a=new PA(d.a,d.b),e.g,e.f),d.a-=a.a,d.b-=a.b,o=h-d.a,s=f-d.b,Gxt(u=new PA(d.a,d.b),c.g,c.f),d.a-=u.a,d.b-=u.b,h=o+d.a,f=s+d.b,Int(r=oBt(n,!0,!0),o),Dnt(r,s),Tnt(r,h),Lnt(r,f),vqt(t,c)))}function xqt(t){NT(t,new CEt(yk(gk(wk(bk(new bs,R4t),"ELK SPOrE Compaction"),"ShrinkTree is a compaction algorithm that maintains the topology of a layout. 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wet(i.gc()),OPt(t.e,e)){if(e.hi())for(l=i.Kc();l.Ob();)Gjt(t,e,u=l.Pb(),aO(e,99)&&0!=(zz(e,18).Bb&qXt))||(a=J3(e,u),o.Fc(a));else if(!c)for(l=i.Kc();l.Ob();)a=J3(e,u=l.Pb()),o.Fc(a)}else{for(h=sPt(t.e.Tg(),e),r=zz(t.g,119),s=0;s<t.i;++s)if(a=r[s],h.rl(a.ak()))throw qw(new $v(I9t));if(i.gc()>1)throw qw(new $v(I9t));c||(a=J3(e,i.Kc().Pb()),o.Fc(a))}return uct(t,ESt(t,e,n),o)}function Eqt(t,e){var n,i,r,a;for(Vet(e.b.j),QE(DW(new FH(null,new g1(e.d,16)),new aa),new oa),a=new Kd(e.d);a.a<a.c.c.length;){switch((r=zz(t0(a),101)).e.g){case 0:n=zz(PH(r.j,0),113).d.j,Zf(r,zz(DN(IU(zz(l6(r.k,n),15).Oc(),Xue)),113)),Hf(r,zz(DN(MU(zz(l6(r.k,n),15).Oc(),Xue)),113));break;case 1:i=Hvt(r),Zf(r,zz(DN(IU(zz(l6(r.k,i[0]),15).Oc(),Xue)),113)),Hf(r,zz(DN(MU(zz(l6(r.k,i[1]),15).Oc(),Xue)),113));break;case 2:XSt(t,r);break;case 3:$Nt(r);break;case 4:UNt(t,r)}Xet(r)}t.a=null}function Tqt(t,e,n){var i,r,a,o,s,c,u,l;return i=t.a.o==(cJ(),ave)?RXt:$Xt,!(s=ojt(t,new 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n,i,r,a,o,s,c,u,l,h,f,d;for(l=0;l<e.length;l++){for(o=t.Kc();o.Ob();)zz(o.Pb(),225).Of(l,e);for(h=0;h<e[l].length;h++){for(s=t.Kc();s.Ob();)zz(s.Pb(),225).Pf(l,h,e);for(d=e[l][h].j,f=0;f<d.c.length;f++){for(c=t.Kc();c.Ob();)zz(c.Pb(),225).Qf(l,h,f,e);for(f1(f,d.c.length),n=0,r=new m6(zz(d.c[f],11).b);vD(r.a)||vD(r.b);)for(i=zz(vD(r.a)?t0(r.a):t0(r.b),17),u=t.Kc();u.Ob();)zz(u.Pb(),225).Nf(l,h,f,n++,i,e)}}}for(a=t.Kc();a.Ob();)zz(a.Pb(),225).Mf()}function Iqt(t,e){var n,i,r,a,o;for(t.b=Zv(TB(vTt(e,(HGt(),xwe)))),t.c=Zv(TB(vTt(e,Ewe))),t.d=zz(vTt(e,rbe),336),t.a=zz(vTt(e,Spe),275),fmt(e),r=(a=zz(S4(LW(LW(gtt(gtt(new FH(null,new g1(e.b,16)),new vn),new xn),new kn),new _n),m8(new q,new z,new it,Ast(Zx(tie,1),OWt,132,0,[(Zut(),Yne)]))),15)).Kc();r.Ob();)n=zz(r.Pb(),17),zz(vTt(n,(hKt(),Nfe)),15).Jc(new np(t)),hct(n,Nfe,null);for(i=a.Kc();i.Ob();)n=zz(i.Pb(),17),o=zz(vTt(n,(hKt(),Pfe)),17),zGt(t,zz(vTt(n,Dfe),15),o),hct(n,Dfe,null)}function Lqt(t){t.b=null,t.a=null,t.o=null,t.q=null,t.v=null,t.w=null,t.B=null,t.p=null,t.Q=null,t.R=null,t.S=null,t.T=null,t.U=null,t.V=null,t.W=null,t.bb=null,t.eb=null,t.ab=null,t.H=null,t.db=null,t.c=null,t.d=null,t.f=null,t.n=null,t.r=null,t.s=null,t.u=null,t.G=null,t.J=null,t.e=null,t.j=null,t.i=null,t.g=null,t.k=null,t.t=null,t.F=null,t.I=null,t.L=null,t.M=null,t.O=null,t.P=null,t.$=null,t.N=null,t.Z=null,t.cb=null,t.K=null,t.D=null,t.A=null,t.C=null,t._=null,t.fb=null,t.X=null,t.Y=null,t.gb=!1,t.hb=!1}function Dqt(t){var e,n,i,r,a;if(t.k!=(cCt(),Ase))return!1;if(t.j.c.length<=1)return!1;if(zz(vTt(t,(HGt(),nwe)),98)==(V_t(),GAe))return!1;if(gyt(),(i=(t.q?t.q:(CX(),CX(),hne))._b(Fbe)?zz(vTt(t,Fbe),197):zz(vTt(yK(t),Rbe),197))==fye)return!1;if(i!=hye&&i!=lye){if(r=Zv(TB(ipt(t,Nwe))),!(e=zz(vTt(t,Owe),142))&&(e=new qF(r,r,r,r)),a=sdt(t,(kYt(),AMe)),e.d+e.a+(a.gc()-1)*r>t.o.b)return!1;if(n=sdt(t,cMe),e.d+e.a+(n.gc()-1)*r>t.o.b)return!1}return!0}function Oqt(t,e){var n,i,r,a,o,s,c,u,l,h,f,d,g;if(o=t.e,c=e.e,0==o)return e;if(0==c)return t;if((a=t.d)+(s=e.d)==2)return n=n0(t.a[0],GXt),i=n0(e.a[0],GXt),o==c?(g=pZ(l=adt(n,i)),0==(d=pZ(kU(l,32)))?new G6(o,g):new fY(o,2,Ast(Zx(LNe,1),hXt,25,15,[g,d]))):ewt(o<0?rdt(i,n):rdt(n,i));if(o==c)f=o,h=a>=s?N7(t.a,a,e.a,s):N7(e.a,s,t.a,a);else{if(0==(r=a!=s?a>s?1:-1:Cut(t.a,e.a,a)))return LBt(),ine;1==r?(f=o,h=p6(t.a,a,e.a,s)):(f=c,h=p6(e.a,s,t.a,a))}return G0(u=new fY(f,h.length,h)),u}function Nqt(t,e,i,r,a,o,s){var c,u,l,h,f,d,g;return f=Hv(EB(vTt(e,(HGt(),Ibe)))),d=null,o==(sit(),qye)&&r.c.i==i?d=r.c:o==Hye&&r.d.i==i&&(d=r.d),(l=s)&&f&&!d?(Kz(l.e,r),g=n.Math.max(Zv(TB(vTt(l.d,obe))),Zv(TB(vTt(r,obe)))),hct(l.d,obe,g)):(kYt(),h=SMe,d?h=d.j:yL(zz(vTt(i,nwe),98))&&(h=o==qye?AMe:cMe),u=Bqt(t,e,i,o,h,r),c=K5((yK(i),r)),o==qye?(CJ(c,zz(PH(u.j,0),11)),TJ(c,a)):(CJ(c,a),TJ(c,zz(PH(u.j,0),11))),l=new Yht(r,c,u,zz(vTt(u,(hKt(),pfe)),11),o,!d)),JMt(t.a,r,new O$(l.d,e,o)),l}function Pqt(t,e){var n,i,r,a,o,s,c,u,l,h;if(l=null,t.d&&(l=zz(CQ(t.d,e),138)),!l){if(h=(a=t.a.Mh()).i,!t.d||NE(t.d)!=h){for(c=new Pw,t.d&&Tat(c,t.d),s=u=c.f.c+c.g.c;s<h;++s)i=zz(Wet(a,s),138),(n=zz(null==(r=Mht(t.e,i).ne())?_At(c.f,null,i):cdt(c.g,r,i),138))&&n!=i&&(null==r?_At(c.f,null,n):cdt(c.g,r,n));if(c.f.c+c.g.c!=h)for(o=0;o<u;++o)i=zz(Wet(a,o),138),(n=zz(null==(r=Mht(t.e,i).ne())?_At(c.f,null,i):cdt(c.g,r,i),138))&&n!=i&&(null==r?_At(c.f,null,n):cdt(c.g,r,n));t.d=c}l=zz(CQ(t.d,e),138)}return l}function Bqt(t,e,n,i,r,a){var o,s,c,u,l,h;return o=null,u=i==(sit(),qye)?a.c:a.d,c=Wft(e),u.i==n?(o=zz(FG(t.b,u),10))||(hct(o=gGt(u,zz(vTt(n,(HGt(),nwe)),98),r,HRt(u),null,u.n,u.o,c,e),(hKt(),pfe),u),WK(t.b,u,o)):(s=D_t(o=gGt((l=new Qt,h=Zv(TB(vTt(e,(HGt(),vwe))))/2,lct(l,ewe,h),l),zz(vTt(n,nwe),98),r,i==qye?-1:1,null,new Zk,new PA(0,0),c,e),n,i),hct(o,(hKt(),pfe),s),WK(t.b,s,o)),zz(vTt(e,(hKt(),Jhe)),21).Fc((gBt(),fhe)),yL(zz(vTt(e,(HGt(),nwe)),98))?hct(e,nwe,(V_t(),WAe)):hct(e,nwe,(V_t(),XAe)),o}function Fqt(t,e){var n,i,r,a,o,s,c,u,l,h,f,d,g,p;LEt(e,"Orthogonal edge routing",1),u=Zv(TB(vTt(t,(HGt(),Lwe)))),n=Zv(TB(vTt(t,xwe))),i=Zv(TB(vTt(t,Ewe))),f=new hG(0,n),p=0,o=new T2(t.b,0),s=null,l=null,c=null,h=null;do{h=(l=o.b<o.d.gc()?(SP(o.b<o.d.gc()),zz(o.d.Xb(o.c=o.b++),29)):null)?l.a:null,s&&(THt(s,p),p+=s.c.a),g=DZt(f,t,c,h,s?p+i:p),r=!s||WM(c,(bPt(),kve)),a=!l||WM(h,(bPt(),kve)),g>0?(d=(g-1)*n,s&&(d+=i),l&&(d+=i),d<u&&!r&&!a&&(d=u),p+=d):!r&&!a&&(p+=u),s=l,c=h}while(l);t.f.a=p,HCt(e)}function Rqt(){var t;Rqt=I,_Le=new Cm,xLe=P7(Vee,lWt,2,0,6,1),CLe=i0(qst(33,58),qst(1,26)),SLe=i0(qst(97,122),qst(65,90)),ALe=qst(48,57),ELe=i0(CLe,0),TLe=i0(SLe,ALe),MLe=i0(i0(0,qst(1,6)),qst(33,38)),ILe=i0(i0(ALe,qst(65,70)),qst(97,102)),PLe=i0(ELe,bwt("-_.!~*'()")),BLe=i0(TLe,Kgt("-_.!~*'()")),bwt(c8t),Kgt(c8t),i0(PLe,bwt(";:@&=+$,")),i0(BLe,Kgt(";:@&=+$,")),LLe=bwt(":/?#"),DLe=Kgt(":/?#"),OLe=bwt("/?#"),NLe=Kgt("/?#"),(t=new Fy).a.zc("jar",t),t.a.zc("zip",t),t.a.zc("archive",t),CX(),kLe=new Lx(t)}function $qt(t,e){var n,i,r,a,o;if(hct(e,(ZHt(),cxe),0),r=zz(vTt(e,oxe),86),0==e.d.b)r?(o=Zv(TB(vTt(r,hxe)))+t.a+_5(r,e),hct(e,hxe,o)):hct(e,hxe,0);else{for(n=new gb(lwt(new db(e).a.d,0));__(n.a);)$qt(t,zz(d3(n.a),188).c);i=zz(iO(new gb(lwt(new db(e).a.d,0))),86),a=(Zv(TB(vTt(zz(EN(new gb(lwt(new db(e).a.d,0))),86),hxe)))+Zv(TB(vTt(i,hxe))))/2,r?(o=Zv(TB(vTt(r,hxe)))+t.a+_5(r,e),hct(e,hxe,o),hct(e,cxe,Zv(TB(vTt(e,hxe)))-a),IZt(t,e)):hct(e,hxe,a)}}function jqt(t,e){var n,i,r,a,o,s,c,u,l,h,f,d;s=0,d=0,c=EQ(t.f,t.f.length),a=t.d,o=t.i,i=t.a,r=t.b;do{for(f=0,u=new Kd(t.p);u.a<u.c.c.length;)h=LZt(t,zz(t0(u),10)),n=!0,(t.q==(lNt(),Eye)||t.q==Sye)&&(n=Hv(EB(h.b))),zz(h.a,19).a<0&&n?(++f,c=EQ(t.f,t.f.length),t.d=t.d+zz(h.a,19).a,d+=a-t.d,a=t.d+zz(h.a,19).a,o=t.i,i=o0(t.a),r=o0(t.b)):(t.f=EQ(c,c.length),t.d=a,t.a=(vG(i),i?new e$(i):qz(new Kd(i))),t.b=(vG(r),r?new e$(r):qz(new Kd(r))),t.i=o);++s,l=0!=f&&Hv(EB(e.Kb(new rM(rft(d),rft(s)))))}while(l)}function zqt(t,e,i,r){var a,o,s,c,u,l,h,f,d,g,p,b,w,y,m;return o=t.f,f=e.f,s=o==(QOt(),P_e)||o==F_e,c=o==B_e||o==R_e,d=f==B_e||f==R_e,u=o==B_e||o==P_e,g=f==B_e||f==P_e,!s||f!=P_e&&f!=F_e?c&&d?t.f==R_e?t:e:u&&g?(o==B_e?(h=t,l=e):(h=e,l=t),p=i.j+i.f,b=h.e+r.f,w=n.Math.max(p,b)-n.Math.min(i.j,h.e),a=(h.d+r.g-i.i)*w,y=i.i+i.g,m=l.d+r.g,a<=(n.Math.max(y,m)-n.Math.min(i.i,l.d))*(l.e+r.f-i.j)?t.f==B_e?t:e:t.f==P_e?t:e):t:t.f==F_e?t:e}function qqt(t){var e,n,i,r,a,o,s,c,u,l;for(u=t.e.a.c.length,a=new Kd(t.e.a);a.a<a.c.c.length;)zz(t0(a),121).j=!1;for(t.i=P7(LNe,hXt,25,u,15,1),t.g=P7(LNe,hXt,25,u,15,1),t.n=new Nw,r=0,l=new Nw,s=new Kd(t.e.a);s.a<s.c.c.length;)(o=zz(t0(s),121)).d=r++,0==o.b.a.c.length&&Kz(t.n,o),wst(l,o.g);for(e=0,i=new Kd(l);i.a<i.c.c.length;)(n=zz(t0(i),213)).c=e++,n.f=!1;c=l.c.length,null==t.b||t.b.length<c?(t.b=P7(PNe,ZXt,25,c,15,1),t.c=P7(DNe,tQt,25,c,16,1)):tx(t.c),t.d=l,t.p=new ON(net(t.d.c.length)),t.j=1}function Hqt(t,e){var n,i,r,a,o,s,c,u,l;if(!(e.e.c.length<=1)){for(t.f=e,t.d=zz(vTt(t.f,(axt(),yoe)),379),t.g=zz(vTt(t.f,koe),19).a,t.e=Zv(TB(vTt(t.f,moe))),t.c=Zv(TB(vTt(t.f,woe))),aG(t.b),r=new Kd(t.f.c);r.a<r.c.c.length;)i=zz(t0(r),282),xRt(t.b,i.c,i,null),xRt(t.b,i.d,i,null);for(s=t.f.e.c.length,t.a=xH(PNe,[lWt,ZXt],[104,25],15,[s,s],2),u=new Kd(t.f.e);u.a<u.c.c.length;)Mzt(t,c=zz(t0(u),144),t.a[c.b]);for(t.i=xH(PNe,[lWt,ZXt],[104,25],15,[s,s],2),a=0;a<s;++a)for(o=0;o<s;++o)l=1/((n=t.a[a][o])*n),t.i[a][o]=l}}function Zqt(t){var e,n,i,r;if(!(null==t.b||t.b.length<=2||t.a)){for(e=0,r=0;r<t.b.length;){for(e!=r?(t.b[e]=t.b[r++],t.b[e+1]=t.b[r++]):r+=2,n=t.b[e+1];r<t.b.length&&!(n+1<t.b[r]);)if(n+1==t.b[r])t.b[e+1]=t.b[r+1],n=t.b[e+1],r+=2;else if(n>=t.b[r+1])r+=2;else{if(!(n<t.b[r+1]))throw qw(new pv("Token#compactRanges(): Internel Error: ["+t.b[e]+","+t.b[e+1]+"] 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at,Ast(Zx(tie,1),OWt,132,0,[Gne,Yne]))),21)).gc())?1:0)&&XM(dpt(zz(S4(LW(i.Lc(),new jt),Wat(_bt(0),new nt)),162).a,2),0)&&(a=0),r<a?-1:r==a?0:1}function Gqt(t){var e,n,i,r,a,o,s,c,u,l,h;if(c=new Nw,!OP(t,(hKt(),Khe)))return c;for(i=zz(vTt(t,Khe),15).Kc();i.Ob();)bHt(e=zz(i.Pb(),10),t),c.c[c.c.length]=e;for(r=new Kd(t.b);r.a<r.c.c.length;)for(o=new Kd(zz(t0(r),29).a);o.a<o.c.c.length;)(a=zz(t0(o),10)).k==(cCt(),Tse)&&(s=zz(vTt(a,Whe),10))&&(AJ(u=new MCt,a),ZAt(u,zz(vTt(a,Xhe),61)),l=zz(PH(s.j,0),11),CJ(h=new gV,u),TJ(h,l));for(n=new Kd(c);n.a<n.c.c.length;)SJ(e=zz(t0(n),10),zz(PH(t.b,t.b.c.length-1),29));return c}function Kqt(t){var e,n,i,r,a,o,s,c,u,l,h,f;for(a=Hv(EB(tDt(e=KQ(t),(HGt(),gbe)))),l=0,r=0,u=new LO((!t.e&&(t.e=new lR($Ie,t,7,4)),t.e));u.e!=u.i.gc();)o=(s=VMt(c=zz(kwt(u),79)))&&a&&Hv(EB(tDt(c,pbe))),f=AEt(zz(Wet((!c.c&&(c.c=new lR(RIe,c,5,8)),c.c),0),82)),s&&o?++r:s&&!o?++l:QQ(f)==e||f==e?++r:++l;for(i=new LO((!t.d&&(t.d=new lR($Ie,t,8,5)),t.d));i.e!=i.i.gc();)o=(s=VMt(n=zz(kwt(i),79)))&&a&&Hv(EB(tDt(n,pbe))),h=AEt(zz(Wet((!n.b&&(n.b=new lR(RIe,n,4,7)),n.b),0),82)),s&&o?++l:s&&!o?++r:QQ(h)==e||h==e?++l:++r;return l-r}function Wqt(t,e){var n,i,r,a,o,s,c,u,l;if(LEt(e,"Edge splitting",1),t.b.c.length<=2)HCt(e);else{for(SP((a=new T2(t.b,0)).b<a.d.gc()),o=zz(a.d.Xb(a.c=a.b++),29);a.b<a.d.gc();)for(r=o,SP(a.b<a.d.gc()),o=zz(a.d.Xb(a.c=a.b++),29),s=new Kd(r.a);s.a<s.c.c.length;)for(c=new Kd(zz(t0(s),10).j);c.a<c.c.c.length;)for(i=new Kd(zz(t0(c),11).g);i.a<i.c.c.length;)(u=(n=zz(t0(i),17)).d.i.c)!=r&&u!=o&&YPt(n,(zf(l=new Oyt(t),(cCt(),Sse)),hct(l,(hKt(),pfe),n),hct(l,(HGt(),nwe),(V_t(),GAe)),SJ(l,o),l));HCt(e)}}function Xqt(t,e){var n,i,r,a,o,s,c,u,l;if((o=null!=e.p&&!e.b)||LEt(e,sJt,1),a=1/(n=zz(vTt(t,(hKt(),Tfe)),15)).gc(),e.n)for(Iq(e,"ELK Layered uses the following "+n.gc()+" modules:"),l=0,u=n.Kc();u.Ob();)Iq(e,"   Slot "+(l<10?"0":"")+l+++": 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e,n,i,r,a,o,s,c,u,l;if(t.ej())if(l=t.Vi(),c=t.fj(),l>0)if(e=new _at(t.Gi()),a=(n=l)<100?null:new jk(n),QB(t,n,e.g),r=1==n?t.Zi(4,Wet(e,0),null,0,c):t.Zi(6,e,null,-1,c),t.bj()){for(i=new LO(e);i.e!=i.i.gc();)a=t.dj(kwt(i),a);a?(a.Ei(r),a.Fi()):t.$i(r)}else a?(a.Ei(r),a.Fi()):t.$i(r);else QB(t,t.Vi(),t.Wi()),t.$i(t.Zi(6,(CX(),lne),null,-1,c));else if(t.bj())if((l=t.Vi())>0){for(s=t.Wi(),u=l,QB(t,l,s),a=u<100?null:new jk(u),i=0;i<u;++i)o=s[i],a=t.dj(o,a);a&&a.Fi()}else QB(t,t.Vi(),t.Wi());else QB(t,t.Vi(),t.Wi())}function vHt(t,e,n){var i,r,a,o,s,c,u,l,h,f,d;for(s=new Kd(e);s.a<s.c.c.length;)(a=zz(t0(s),233)).e=null,a.c=0;for(c=null,o=new Kd(e);o.a<o.c.c.length;)if(h=(a=zz(t0(o),233)).d[0],!n||h.k==(cCt(),Ase)){for(d=zz(vTt(h,(hKt(),afe)),15).Kc();d.Ob();)f=zz(d.Pb(),10),n&&f.k!=(cCt(),Ase)||((!a.e&&(a.e=new Nw),a.e).Fc(t.b[f.c.p][f.p]),++t.b[f.c.p][f.p].c);if(!n&&h.k==(cCt(),Ase)){if(c)for(l=zz(l6(t.d,c),21).Kc();l.Ob();)for(u=zz(l.Pb(),10),r=zz(l6(t.d,h),21).Kc();r.Ob();)i=zz(r.Pb(),10),Yz(t.b[u.c.p][u.p]).Fc(t.b[i.c.p][i.p]),++t.b[i.c.p][i.p].c;c=h}}}function xHt(t,e){var n,i,r,a,o,s,c;for(n=0,c=new Nw,a=new Kd(e);a.a<a.c.c.length;){switch(r=zz(t0(a),11),elt(t.b,t.d[r.p]),c.c=P7(Dte,HKt,1,0,5,1),r.i.k.g){case 0:Let(zz(vTt(r,(hKt(),_fe)),10).j,new Jp(c));break;case 1:CD(Vct(LW(new FH(null,new g1(r.i.j,16)),new tb(r))),new eb(c));break;case 3:Kz(c,new rM(zz(vTt(r,(hKt(),pfe)),11),rft(r.e.c.length+r.g.c.length)))}for(s=new Kd(c);s.a<s.c.c.length;)o=zz(t0(s),46),(i=T_(t,zz(o.a,11)))>t.d[r.p]&&(n+=t5(t.b,i)*zz(o.b,19).a,p3(t.a,rft(i)));for(;!Kv(t.a);)Ttt(t.b,zz(pY(t.a),19).a)}return n}function kHt(t,e,i,r){var a,o,s,c,u,l,h,f,d,g;for((h=new gL(zz(tDt(t,(STt(),qTe)),8))).a=n.Math.max(h.a-i.b-i.c,0),h.b=n.Math.max(h.b-i.d-i.a,0),(null==(a=TB(tDt(t,BTe)))||(xK(a),a<=0))&&(a=1.3),s=new Nw,f=new LO((!t.a&&(t.a=new nY(YIe,t,10,11)),t.a));f.e!=f.i.gc();)o=new UP(zz(kwt(f),33)),s.c[s.c.length]=o;switch(zz(tDt(t,FTe),311).g){case 3:g=sjt(s,e,h.a,h.b,(u=r,xK(a),u));break;case 1:g=mzt(s,e,h.a,h.b,(l=r,xK(a),l));break;default:g=CHt(s,e,h.a,h.b,(c=r,xK(a),c))}$Yt(t,(d=xGt(new Uet(g),e,i,h.a,h.b,r,(xK(a),a))).a,d.b,!1,!0)}function _Ht(t,e){var n,i,r,a;a=new e$((n=e.b).j),r=0,(i=n.j).c=P7(Dte,HKt,1,0,5,1),nG(zz(wot(t.b,(kYt(),uMe),(Mrt(),Fue)),15),n),r=Jmt(a,r,new Pr,i),nG(zz(wot(t.b,uMe,Bue),15),n),r=Jmt(a,r,new Nr,i),nG(zz(wot(t.b,uMe,Pue),15),n),nG(zz(wot(t.b,cMe,Fue),15),n),nG(zz(wot(t.b,cMe,Bue),15),n),r=Jmt(a,r,new Br,i),nG(zz(wot(t.b,cMe,Pue),15),n),nG(zz(wot(t.b,CMe,Fue),15),n),r=Jmt(a,r,new Fr,i),nG(zz(wot(t.b,CMe,Bue),15),n),r=Jmt(a,r,new Rr,i),nG(zz(wot(t.b,CMe,Pue),15),n),nG(zz(wot(t.b,AMe,Fue),15),n),r=Jmt(a,r,new Xr,i),nG(zz(wot(t.b,AMe,Bue),15),n),nG(zz(wot(t.b,AMe,Pue),15),n)}function EHt(t,e){var i,r,a,o,s,c,u,l,h,f,d,g,p,b;for(LEt(e,"Layer size calculation",1),h=RXt,l=$Xt,a=!1,c=new Kd(t.b);c.a<c.c.c.length;)if((u=(s=zz(t0(c),29)).c).a=0,u.b=0,0!=s.a.c.length){for(a=!0,d=new Kd(s.a);d.a<d.c.c.length;)p=(f=zz(t0(d),10)).o,g=f.d,u.a=n.Math.max(u.a,p.a+g.b+g.c);b=(r=zz(PH(s.a,0),10)).n.b-r.d.d,r.k==(cCt(),Tse)&&(b-=zz(vTt(t,(HGt(),Owe)),142).d),i=(o=zz(PH(s.a,s.a.c.length-1),10)).n.b+o.o.b+o.d.a,o.k==Tse&&(i+=zz(vTt(t,(HGt(),Owe)),142).a),u.b=i-b,h=n.Math.min(h,b),l=n.Math.max(l,i)}a||(h=0,l=0),t.f.b=l-h,t.c.b-=h,HCt(e)}function THt(t,e){var i,r,a,o,s,c,u,l,h,f,d,g,p,b,w;for(a=0,o=0,u=new Kd(t.a);u.a<u.c.c.length;)s=zz(t0(u),10),a=n.Math.max(a,s.d.b),o=n.Math.max(o,s.d.c);for(c=new Kd(t.a);c.a<c.c.c.length;){switch(s=zz(t0(c),10),zz(vTt(s,(HGt(),xpe)),248).g){case 1:g=0;break;case 2:g=1;break;case 5:g=.5;break;default:for(i=0,h=0,d=new Kd(s.j);d.a<d.c.c.length;)0==(f=zz(t0(d),11)).e.c.length||++i,0==f.g.c.length||++h;g=i+h==0?.5:h/(i+h)}b=t.c,l=s.o.a,w=(b.a-l)*g,g>.5?w-=2*o*(g-.5):g<.5&&(w+=2*a*(.5-g)),w<(r=s.d.b)&&(w=r),p=s.d.c,w>b.a-p-l&&(w=b.a-p-l),s.n.a=e+w}}function CHt(t,e,n,i,r){var a,o,s,c,u,l,h,f,d;for(s=P7(PNe,ZXt,25,t.c.length,15,1),rxt(f=new GU(new Gs),t),u=0,d=new Nw;0!=f.b.c.length;)if(o=zz(0==f.b.c.length?null:PH(f.b,0),157),u>1&&iZ(o)*nZ(o)/2>s[0]){for(a=0;a<d.c.length-1&&iZ(o)*nZ(o)/2>s[a];)++a;h=new Uet(new u1(d,0,a+1)),l=iZ(o)/nZ(o),c=xGt(h,e,new dm,n,i,r,l),YF(xI(h.e),c),j7(iTt(f,h)),rxt(f,new u1(d,a+1,d.c.length)),d.c=P7(Dte,HKt,1,0,5,1),u=0,kZ(s,s.length,0)}else null!=(0==f.b.c.length?null:PH(f.b,0))&&hrt(f,0),u>0&&(s[u]=s[u-1]),s[u]+=iZ(o)*nZ(o),++u,d.c[d.c.length]=o;return d}function SHt(t){var e,n,i;if((n=zz(vTt(t,(HGt(),xbe)),163))==(Tdt(),jfe)){for(e=new cU(JO(fdt(t).a.Kc(),new l));bLt(e);)if(!G5(zz(Y5(e),17)))throw qw(new rx(A1t+wvt(t)+"' has its layer constraint set to FIRST_SEPARATE, but 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Kd(zz(t0(r),10).j);o.a<o.c.c.length;){for(u=null,m=0,v=(y=J0((a=zz(t0(o),11)).g)).length;m<v;++m)pot((w=y[m]).d.i,n)||((b=Nqt(t,e,n,w,w.c,(sit(),Hye),u))!=u&&(s.c[s.c.length]=b),b.c&&(u=b));for(c=null,g=0,p=(d=J0(a.e)).length;g<p;++g)pot((f=d[g]).c.i,n)||((b=Nqt(t,e,n,f,f.d,(sit(),qye),c))!=c&&(s.c[s.c.length]=b),b.c&&(c=b))}for(h=new Kd(s);h.a<h.c.c.length;)l=zz(t0(h),441),-1!=_9(e.a,l.a,0)||Kz(e.a,l.a),l.c&&(i.c[i.c.length]=l)}function IHt(t,e,n){var i,r,a,o,s,c,u,l,h,f,d,g;for(LEt(n,"Interactive cycle breaking",1),l=new Nw,f=new Kd(e.a);f.a<f.c.c.length;)for((h=zz(t0(f),10)).p=1,d=zkt(h).a,u=Bgt(h,(sit(),Hye)).Kc();u.Ob();)for(a=new Kd(zz(u.Pb(),11).g);a.a<a.c.c.length;)(g=(i=zz(t0(a),17)).d.i)!=h&&zkt(g).a<d&&(l.c[l.c.length]=i);for(o=new Kd(l);o.a<o.c.c.length;)nzt(i=zz(t0(o),17),!0);for(l.c=P7(Dte,HKt,1,0,5,1),c=new Kd(e.a);c.a<c.c.c.length;)(s=zz(t0(c),10)).p>0&&dSt(t,s,l);for(r=new Kd(l);r.a<r.c.c.length;)nzt(i=zz(t0(r),17),!0);l.c=P7(Dte,HKt,1,0,5,1),HCt(n)}function LHt(t,e){var n,i,r,a,o,s,c,u,l;return u="",0==e.length?t.de(KWt,YWt,-1,-1):(mR((l=RTt(e)).substr(0,3),"at ")&&(l=l.substr(3)),-1==(o=(l=l.replace(/\[.*?\]/g,"")).indexOf("("))?-1==(o=l.indexOf("@"))?(u=l,l=""):(u=RTt(l.substr(o+1)),l=RTt(l.substr(0,o))):(n=l.indexOf(")",o),u=l.substr(o+1,n-(o+1)),l=RTt(l.substr(0,o))),-1!=(o=ZI(l,QEt(46)))&&(l=l.substr(o+1)),(0==l.length||mR(l,"Anonymous function"))&&(l=YWt),s=mN(u,QEt(58)),r=TR(u,QEt(58),s-1),c=-1,i=-1,a=KWt,-1!=s&&-1!=r&&(a=u.substr(0,r),c=lP(u.substr(r+1,s-(r+1))),i=lP(u.substr(s+1))),t.de(a,l,c,i))}function DHt(t,e,n){var i,r,a,o,s,c;if(0==e.l&&0==e.m&&0==e.h)throw qw(new Iv("divide by zero"));if(0==t.l&&0==t.m&&0==t.h)return n&&(dee=TD(0,0,0)),TD(0,0,0);if(e.h==MXt&&0==e.m&&0==e.l)return zdt(t,n);if(c=!1,e.h>>19!=0&&(e=sct(e),c=!c),o=LOt(e),a=!1,r=!1,i=!1,t.h==MXt&&0==t.m&&0==t.l){if(r=!0,a=!0,-1!=o)return s=_Lt(t,o),c&&Lct(s),n&&(dee=TD(0,0,0)),s;t=KI((G9(),gee)),i=!0,c=!c}else t.h>>19!=0&&(a=!0,t=sct(t),i=!0,c=!c);return-1!=o?qct(t,o,c,a,n):$xt(t,e)<0?(n&&(dee=a?sct(t):TD(t.l,t.m,t.h)),TD(0,0,0)):h$t(i?t:TD(t.l,t.m,t.h),e,c,a,r,n)}function OHt(t,e){var n,i,r,a,o,s,c,u,l,h,f,d,g;if(t.e&&t.c.c<t.f)throw qw(new jv("Expected "+t.f+" phases to be configured; only found "+t.c.c));for(l=zz(Wk(t.g),9),d=uP(t.f),s=0,u=(a=l).length;s<u;++s)(h=zz(B9(t,(i=a[s]).g),246))?Kz(d,zz(ugt(t,h),123)):d.c[d.c.length]=null;for(g=new z2,QE(LW(DW(LW(new FH(null,new g1(d,16)),new hs),new _b(e)),new fs),new Eb(g)),Jat(g,t.a),n=new Nw,o=0,c=(r=l).length;o<c;++o)wst(n,Est(t,QX(zz(B9(g,(i=r[o]).g),20)))),(f=zz(PH(d,i.g),123))&&(n.c[n.c.length]=f);return wst(n,Est(t,QX(zz(B9(g,l[l.length-1].g+1),20)))),n}function NHt(t,e,i){var r,a,o,s,c,u,l,h,f,d,g;for(LEt(i,"Model order cycle breaking",1),t.a=0,t.b=0,f=new Nw,l=e.a.c.length,u=new Kd(e.a);u.a<u.c.c.length;)OP(c=zz(t0(u),10),(hKt(),gfe))&&(l=n.Math.max(l,zz(vTt(c,gfe),19).a+1));for(g=new 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n,i,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y;for(u=e.c,r=XL(t.e),h=xO(zP(zD(WL(t.e)),t.d*t.a,t.c*t.b),-.5),n=r.a-h.a,i=r.b-h.b,n=(o=e.a).c-n,i=o.d-i,c=new Kd(u);c.a<c.c.c.length;){switch(d=n+(f=(s=zz(t0(c),395)).b).a,b=i+f.b,g=AQ(d/t.a),w=AQ(b/t.b),(a=s.a).g){case 0:Hwt(),l=zre;break;case 1:Hwt(),l=jre;break;case 2:Hwt(),l=qre;break;default:Hwt(),l=Hre}a.a?(y=AQ((b+s.c)/t.b),Kz(t.f,new P$(l,rft(w),rft(y))),a==(Zwt(),eae)?pct(t,0,w,g,y):pct(t,g,w,t.d-1,y)):(p=AQ((d+s.c)/t.a),Kz(t.f,new P$(l,rft(g),rft(p))),a==(Zwt(),Jre)?pct(t,g,0,p,w):pct(t,g,w,p,t.c-1))}}function FHt(t,e){var i,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v;for(f=new Nw,a=new Nw,p=null,s=e.Kc();s.Ob();)o=new 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i,r,a,o,s,c,u,l,h,f,d,g;if(i=zz(cW(t.b,e),124),(u=zz(zz(l6(t.r,e),21),84)).dc())return i.n.b=0,void(i.n.c=0);for(l=t.u.Hc((dMt(),nMe)),s=0,c=u.Kc(),h=null,f=0,d=0;c.Ob();)a=Zv(TB((r=zz(c.Pb(),111)).b.We((BN(),Ore)))),o=r.b.rf().a,t.A.Hc((vpt(),$Me))&&xFt(t,e),h?(g=d+h.d.c+t.w+r.d.b,s=n.Math.max(s,(lD(),ait(fQt),n.Math.abs(f-a)<=fQt||f==a||isNaN(f)&&isNaN(a)?0:g/(a-f)))):t.C&&t.C.b>0&&(s=n.Math.max(s,dat(t.C.b+r.d.b,a))),h=r,f=a,d=o;t.C&&t.C.c>0&&(g=d+t.C.c,l&&(g+=h.d.c),s=n.Math.max(s,(lD(),ait(fQt),n.Math.abs(f-1)<=fQt||1==f||isNaN(f)&&isNaN(1)?0:g/(1-f)))),i.n.b=0,i.a.a=s}function sZt(t,e){var i,r,a,o,s,c,u,l,h,f,d,g;if(i=zz(cW(t.b,e),124),(u=zz(zz(l6(t.r,e),21),84)).dc())return i.n.d=0,void(i.n.a=0);for(l=t.u.Hc((dMt(),nMe)),s=0,t.A.Hc((vpt(),$Me))&&kFt(t,e),c=u.Kc(),h=null,d=0,f=0;c.Ob();)o=Zv(TB((r=zz(c.Pb(),111)).b.We((BN(),Ore)))),a=r.b.rf().b,h?(g=f+h.d.a+t.w+r.d.d,s=n.Math.max(s,(lD(),ait(fQt),n.Math.abs(d-o)<=fQt||d==o||isNaN(d)&&isNaN(o)?0:g/(o-d)))):t.C&&t.C.d>0&&(s=n.Math.max(s,dat(t.C.d+r.d.d,o))),h=r,d=o,f=a;t.C&&t.C.a>0&&(g=f+t.C.a,l&&(g+=h.d.a),s=n.Math.max(s,(lD(),ait(fQt),n.Math.abs(d-1)<=fQt||1==d||isNaN(d)&&isNaN(1)?0:g/(1-d)))),i.n.d=0,i.a.b=s}function cZt(t,e,n){var i,r,a,o,s,c;for(this.g=t,s=e.d.length,c=n.d.length,this.d=P7(Ise,s1t,10,s+c,0,1),o=0;o<s;o++)this.d[o]=e.d[o];for(a=0;a<c;a++)this.d[s+a]=n.d[a];if(e.e){if(this.e=Uz(e.e),this.e.Mc(n),n.e)for(r=n.e.Kc();r.Ob();)(i=zz(r.Pb(),233))!=e&&(this.e.Hc(i)?--i.c:this.e.Fc(i))}else n.e&&(this.e=Uz(n.e),this.e.Mc(e));this.f=e.f+n.f,this.a=e.a+n.a,this.a>0?Jet(this,this.f/this.a):null!=fO(e.g,e.d[0]).a&&null!=fO(n.g,n.d[0]).a?Jet(this,(Zv(fO(e.g,e.d[0]).a)+Zv(fO(n.g,n.d[0]).a))/2):null!=fO(e.g,e.d[0]).a?Jet(this,fO(e.g,e.d[0]).a):null!=fO(n.g,n.d[0]).a&&Jet(this,fO(n.g,n.d[0]).a)}function uZt(t,e){var n,i,r,a,o,s,c,u,l;for(t.a=new zG(Oat(KSe)),i=new Kd(e.a);i.a<i.c.c.length;){for(n=zz(t0(i),841),o=new Abt(Ast(Zx(Xoe,1),HKt,81,0,[])),Kz(t.a.a,o),c=new Kd(n.d);c.a<c.c.c.length;)zZt(u=new NN(t,s=zz(t0(c),110)),zz(vTt(n.c,(hKt(),Ghe)),21)),lY(t.g,n)||(WK(t.g,n,new PA(s.c,s.d)),WK(t.f,n,u)),Kz(t.a.b,u),b2(o,u);for(a=new Kd(n.b);a.a<a.c.c.length;)u=new NN(t,(r=zz(t0(a),594)).kf()),WK(t.b,r,new rM(o,u)),zZt(u,zz(vTt(n.c,(hKt(),Ghe)),21)),r.hf()&&(zZt(l=new Sbt(t,r.hf(),1),zz(vTt(n.c,Ghe),21)),b2(new Abt(Ast(Zx(Xoe,1),HKt,81,0,[])),l),JMt(t.c,r.gf(),new rM(o,l)))}return t.a}function lZt(t){var e;this.a=t,e=(cCt(),Ast(Zx(Dse,1),OWt,267,0,[Ase,Sse,Tse,Mse,Cse,Ese])).length,this.b=xH(fTe,[lWt,k3t],[593,146],0,[e,e],2),this.c=xH(fTe,[lWt,k3t],[593,146],0,[e,e],2),jV(this,Ase,(HGt(),Iwe),Lwe),nst(this,Ase,Sse,_we,Ewe),$V(this,Ase,Mse,_we),$V(this,Ase,Tse,_we),nst(this,Ase,Cse,Iwe,Lwe),jV(this,Sse,vwe,xwe),$V(this,Sse,Mse,vwe),$V(this,Sse,Tse,vwe),nst(this,Sse,Cse,_we,Ewe),JL(this,Mse,vwe),$V(this,Mse,Tse,vwe),$V(this,Mse,Cse,Swe),JL(this,Tse,Nwe),nst(this,Tse,Cse,Mwe,Awe),jV(this,Cse,vwe,vwe),jV(this,Ese,vwe,xwe),nst(this,Ese,Ase,_we,Ewe),nst(this,Ese,Cse,_we,Ewe),nst(this,Ese,Sse,_we,Ewe)}function hZt(t,e,n){var i,r,a,o,s,c,u,l,h,f,d,g,p,b;if(aO(o=n.ak(),99)&&0!=(zz(o,18).Bb&qXt)&&(f=zz(n.dd(),49),(p=nht(t.e,f))!=f)){if(kO(t,e,lEt(t,e,l=J3(o,p))),h=null,mL(t.e)&&(i=zHt((ISt(),JDe),t.e.Tg(),o))!=iet(t.e.Tg(),t.c)){for(b=sPt(t.e.Tg(),o),s=0,a=zz(t.g,119),c=0;c<e;++c)r=a[c],b.rl(r.ak())&&++s;(h=new d4(t.e,9,i,f,p,s,!1)).Ei(new N9(t.e,9,t.c,n,l,e,!1))}return(d=Myt(g=zz(o,18)))?(h=f.ih(t.e,Dgt(f.Tg(),d),null,h),h=zz(p,49).gh(t.e,Dgt(p.Tg(),d),null,h)):0!=(g.Bb&h6t)&&(u=-1-Dgt(t.e.Tg(),g),h=f.ih(t.e,u,null,null),!zz(p,49).eh()&&(h=zz(p,49).gh(t.e,u,null,h))),h&&h.Fi(),l}return n}function fZt(t){var e,i,r,a,o,s,c,u;for(o=new Kd(t.a.b);o.a<o.c.c.length;)(a=zz(t0(o),81)).b.c=a.g.c,a.b.d=a.g.d;for(u=new PA(RXt,RXt),e=new PA($Xt,$Xt),r=new Kd(t.a.b);r.a<r.c.c.length;)i=zz(t0(r),81),u.a=n.Math.min(u.a,i.g.c),u.b=n.Math.min(u.b,i.g.d),e.a=n.Math.max(e.a,i.g.c+i.g.b),e.b=n.Math.max(e.b,i.g.d+i.g.a);for(c=EG(t.c).a.nc();c.Ob();)s=zz(c.Pb(),46),i=zz(s.b,81),u.a=n.Math.min(u.a,i.g.c),u.b=n.Math.min(u.b,i.g.d),e.a=n.Math.max(e.a,i.g.c+i.g.b),e.b=n.Math.max(e.b,i.g.d+i.g.a);t.d=HP(new PA(u.a,u.b)),t.e=GF(new PA(e.a,e.b),u),t.a.a.c=P7(Dte,HKt,1,0,5,1),t.a.b.c=P7(Dte,HKt,1,0,5,1)}function dZt(t){var e,n,i;for(kut(fLe,Ast(Zx($ie,1),HKt,130,0,[new Oh])),n=new Ef(t),i=0;i<n.a.length;++i)mR(e=ptt(n,i).je().a,"layered")?kut(fLe,Ast(Zx($ie,1),HKt,130,0,[new uh])):mR(e,"force")?kut(fLe,Ast(Zx($ie,1),HKt,130,0,[new Ul])):mR(e,"stress")?kut(fLe,Ast(Zx($ie,1),HKt,130,0,[new Gl])):mR(e,"mrtree")?kut(fLe,Ast(Zx($ie,1),HKt,130,0,[new Ch])):mR(e,"radial")?kut(fLe,Ast(Zx($ie,1),HKt,130,0,[new mh])):mR(e,"disco")?kut(fLe,Ast(Zx($ie,1),HKt,130,0,[new Zl,new ql])):mR(e,"sporeOverlap")||mR(e,"sporeCompaction")?kut(fLe,Ast(Zx($ie,1),HKt,130,0,[new _h])):mR(e,"rectpacking")&&kut(fLe,Ast(Zx($ie,1),HKt,130,0,[new Mh]))}function gZt(t,e,n){var i,r,a,o,s,c,u,l,h,f,d,g,p,b,w;if(f=new gL(t.o),w=e.a/f.a,s=e.b/f.b,p=e.a-f.a,a=e.b-f.b,n)for(r=ZM(vTt(t,(HGt(),nwe)))===ZM((V_t(),GAe)),g=new Kd(t.j);g.a<g.c.c.length;)switch((d=zz(t0(g),11)).j.g){case 1:r||(d.n.a*=w);break;case 2:d.n.a+=p,r||(d.n.b*=s);break;case 3:r||(d.n.a*=w),d.n.b+=a;break;case 4:r||(d.n.b*=s)}for(u=new Kd(t.b);u.a<u.c.c.length;)l=(c=zz(t0(u),70)).n.a+c.o.a/2,h=c.n.b+c.o.b/2,(b=l/f.a)+(o=h/f.b)>=1&&(b-o>0&&h>=0?(c.n.a+=p,c.n.b+=a*o):b-o<0&&l>=0&&(c.n.a+=p*b,c.n.b+=a));t.o.a=e.a,t.o.b=e.b,hct(t,(HGt(),jbe),(vpt(),new VR(i=zz(Wk(VMe),9),zz(CF(i,i.length),9),0)))}function pZt(t,e,n,i,r,a){if(null!=e&&Kdt(e,LLe,DLe))throw qw(new $v("invalid scheme: "+e));if(!(t||null!=n&&-1==ZI(n,QEt(35))&&n.length>0&&(d1(0,n.length),47!=n.charCodeAt(0))))throw qw(new $v("invalid opaquePart: "+n));if(t&&(null==e||!PE(kLe,e.toLowerCase()))&&null!=n&&Kdt(n,OLe,NLe))throw qw(new $v(u8t+n));if(t&&null!=e&&PE(kLe,e.toLowerCase())&&!M_t(n))throw qw(new $v(u8t+n));if(!Gdt(i))throw qw(new $v("invalid device: "+i));if(!Rlt(r))throw qw(new $v(null==r?"invalid segments: null":"invalid segment: "+llt(r)));if(null!=a&&-1!=ZI(a,QEt(35)))throw qw(new $v("invalid query: "+a))}function bZt(t,e){var i,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y;for(LEt(e,"Calculate Graph 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Kd(kdt(r));n.a<n.c.c.length;)Pht(e=zz(t0(n),213),u)||(e.f?s==e.d||c==e.e?t.b[u.c]-=t.b[e.c]-e.g:t.b[u.c]+=t.b[e.c]-e.g:r==s?e.d==r?t.b[u.c]+=e.g:t.b[u.c]-=e.g:e.d==r?t.b[u.c]-=e.g:t.b[u.c]+=e.g);v9(s.k,u),v9(c.k,u),r=s==r?u.e:u.d}}function yZt(t,e){var n,i,r,a,o,s,c,u,l,h,f;if(null==e||0==e.length)return null;if(!(a=zz(CQ(t.f,e),23))){for(r=new Rd(new Id(t.d).a.vc().Kc());r.a.Ob();)if(o=zz(r.a.Pb(),42),s=(n=zz(o.dd(),23)).f,f=e.length,mR(s.substr(s.length-f,f),e)&&(e.length==s.length||46==hW(s,s.length-e.length-1))){if(a)return null;a=n}if(!a)for(i=new Rd(new Id(t.d).a.vc().Kc());i.a.Ob();)if(o=zz(i.a.Pb(),42),null!=(h=(n=zz(o.dd(),23)).g))for(u=0,l=(c=h).length;u<l;++u)if(s=c[u],f=e.length,mR(s.substr(s.length-f,f),e)&&(e.length==s.length||46==hW(s,s.length-e.length-1))){if(a)return null;a=n}a&&mJ(t.f,e,a)}return a}function mZt(t,e){var n,i,r,a,o;for(n=new Mx,o=!1,a=0;a<e.length;a++)if(d1(a,e.length),32!=(i=e.charCodeAt(a)))o?39==i?a+1<e.length&&(d1(a+1,e.length),39==e.charCodeAt(a+1))?(n.a+=String.fromCharCode(i),++a):o=!1:n.a+=String.fromCharCode(i):ZI("GyMLdkHmsSEcDahKzZv",QEt(i))>0?(Awt(t,n,0),n.a+=String.fromCharCode(i),Awt(t,n,r=obt(e,a)),a+=r-1):39==i?a+1<e.length&&(d1(a+1,e.length),39==e.charCodeAt(a+1))?(n.a+="'",++a):o=!0:n.a+=String.fromCharCode(i);else for(Awt(t,n,0),n.a+=" ",Awt(t,n,0);a+1<e.length&&(d1(a+1,e.length),32==e.charCodeAt(a+1));)++a;Awt(t,n,0),yEt(t)}function vZt(t,e,i){var r,a,o,s,c,u,l,h,f,d,g,p,b,w;if(LEt(i,"Network simplex layering",1),t.b=e,w=4*zz(vTt(e,(HGt(),Pwe)),19).a,(b=t.b.a).c.length<1)HCt(i);else{for(p=null,a=lwt(o=IRt(t,b),0);a.b!=a.d.c;){for(r=zz(d3(a),15),c=w*AQ(n.Math.sqrt(r.gc())),WRt(Xx(Qx(Vx(z$(s=u$t(r)),c),p),!0),vat(i,1)),f=t.b.b,g=new Kd(s.a);g.a<g.c.c.length;){for(d=zz(t0(g),121);f.c.length<=d.e;)xZ(f,f.c.length,new 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n,i,r,a,o,s,c,u,l;if(null!=(u=e).b&&null!=t.b){for(TDt(t),Zqt(t),TDt(u),Zqt(u),n=P7(LNe,hXt,25,t.b.length+u.b.length,15,1),l=0,i=0,o=0;i<t.b.length&&o<u.b.length;)if(r=t.b[i],a=t.b[i+1],s=u.b[o],c=u.b[o+1],a<s)i+=2;else if(a>=s&&r<=c)s<=r&&a<=c?(n[l++]=r,n[l++]=a,i+=2):s<=r?(n[l++]=r,n[l++]=c,t.b[i]=c+1,o+=2):a<=c?(n[l++]=s,n[l++]=a,i+=2):(n[l++]=s,n[l++]=c,t.b[i]=c+1);else{if(!(c<r))throw qw(new pv("Token#intersectRanges(): Internal Error: ["+t.b[i]+","+t.b[i+1]+"] & ["+u.b[o]+","+u.b[o+1]+"]"));o+=2}for(;i<t.b.length;)n[l++]=t.b[i++],n[l++]=t.b[i++];t.b=P7(LNe,hXt,25,l,15,1),sqt(n,0,t.b,0,l)}}function _Zt(t){var e,i,r,a,o,s,c;for(e=new Nw,t.g=new Nw,t.d=new Nw,s=new cut(new Sd(t.f.b).a);s.b;)Kz(e,zz(zz((o=nnt(s)).dd(),46).b,81)),pL(zz(o.cd(),594).gf())?Kz(t.d,zz(o.dd(),46)):Kz(t.g,zz(o.dd(),46));for(igt(t,t.d),igt(t,t.g),t.c=new lIt(t.b),nk(t.c,(yT(),Zoe)),qft(t,t.d),qft(t,t.g),wst(e,t.c.a.b),t.e=new PA(RXt,RXt),t.a=new PA($Xt,$Xt),r=new Kd(e);r.a<r.c.c.length;)i=zz(t0(r),81),t.e.a=n.Math.min(t.e.a,i.g.c),t.e.b=n.Math.min(t.e.b,i.g.d),t.a.a=n.Math.max(t.a.a,i.g.c+i.g.b),t.a.b=n.Math.max(t.a.b,i.g.d+i.g.a);ek(t.c,new xe),c=0;do{a=xZt(t),++c}while((c<2||a>$Wt)&&c<10);ek(t.c,new ke),xZt(t),MY(t.c),fZt(t.f)}function EZt(t,e,n){var i,r,a,o,s,c,u,l,h,f;if(Hv(EB(vTt(n,(HGt(),gbe)))))for(r=new Kd(n.j);r.a<r.c.c.length;)for(s=0,c=(o=J0(zz(t0(r),11).g)).length;s<c;++s)(a=o[s]).d.i==n&&Hv(EB(vTt(a,pbe)))&&(l=a.c,(u=zz(FG(t.b,l),10))||(hct(u=gGt(l,(V_t(),XAe),l.j,-1,null,null,l.o,zz(vTt(e,Ype),103),e),(hKt(),pfe),l),WK(t.b,l,u),Kz(e.a,u)),f=a.d,(h=zz(FG(t.b,f),10))||(hct(h=gGt(f,(V_t(),XAe),f.j,1,null,null,f.o,zz(vTt(e,Ype),103),e),(hKt(),pfe),f),WK(t.b,f,h),Kz(e.a,h)),CJ(i=K5(a),zz(PH(u.j,0),11)),TJ(i,zz(PH(h.j,0),11)),JMt(t.a,a,new O$(i,e,(sit(),Hye))),zz(vTt(e,(hKt(),Jhe)),21).Fc((gBt(),fhe)))}function TZt(t,e,n){var i,r,a,o,s,c,u,l,h,f,d,g;for(LEt(n,"Label dummy 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f.b;r5(n,f,n.c.b,n.c)}if(n.b>=2){for(o=zz(d3(c=lwt(n,0)),8),s=zz(d3(c),8);s.a<e&&c.b!=c.d.c;)o=s,s=zz(d3(c),8);return o.b+(e-o.a)/(s.a-o.a)*(s.b-o.b)}break;case 3:switch(r=(a=zz(vTt(zz(PH(t.j,0),11),(hKt(),pfe)),11)).i,a.j.g){case 1:return r.n.b;case 3:return r.n.b+r.o.b}}return zkt(t).b}function SZt(t){var e,n,i,r,a,o,s,c,u,h;for(a=new Kd(t.d.b);a.a<a.c.c.length;)for(s=new Kd(zz(t0(a),29).a);s.a<s.c.c.length;)!Hv(EB(vTt(o=zz(t0(s),10),(HGt(),Epe))))||l3(hdt(o))?(r=new YW(o.n.a-o.d.b,o.n.b-o.d.d,o.o.a+o.d.b+o.d.c,o.o.b+o.d.d+o.d.a),e=IN(iT(eT(nT(new Ky,o),r),pue),t.a),MN(tT(Knt(new Gy,Ast(Zx(die,1),HKt,57,0,[e])),e),t.a),c=new Bw,WK(t.e,e,c),(n=j3(new cU(JO(fdt(o).a.Kc(),new l)))-j3(new cU(JO(ddt(o).a.Kc(),new l))))<0?Gst(c,!0,(zht(),$Se)):n>0&&Gst(c,!0,(zht(),jSe)),o.k==(cCt(),Tse)&&gW(c),WK(t.f,o,e)):((u=(i=zz(iV(hdt(o)),17)).c.i)==o&&(u=i.d.i),h=new rM(u,GF(zD(o.n),u.n)),WK(t.b,o,h))}function AZt(t,e,i){var r,a,o,s,c,u,l,h;switch(LEt(i,"Node promotion 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G_t(this.e),a.c[a.c.length]=i,this.c=new yrt(i,o,zz(this.q,402))):this.c=new yS(e,this):(i=new G_t(this.e),a.c[a.c.length]=i,this.c=new Z2(i,o,zz(this.q,402))),Kz(a,this.c),Mqt(a,this.e),this.s=pGt(this.k)}function IZt(t,e){var n,i,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y;for(f=(u=zz(iO(new gb(lwt(new db(e).a.d,0))),86))?zz(vTt(u,(ZHt(),axe)),86):null,r=1;u&&f;){for(o=0,y=0,n=u,i=f,a=0;a<r;a++)n=Z7(n),i=Z7(i),y+=Zv(TB(vTt(n,(ZHt(),cxe)))),o+=Zv(TB(vTt(i,cxe)));if(w=Zv(TB(vTt(f,(ZHt(),hxe)))),b=Zv(TB(vTt(u,hxe))),l=_5(u,f),0<(h=w+o+t.a+l-b-y)){for(s=e,c=0;s&&s!=i;)++c,s=zz(vTt(s,oxe),86);if(!s)return;for(p=h/c,s=e;s!=i;)g=Zv(TB(vTt(s,hxe)))+h,hct(s,hxe,g),d=Zv(TB(vTt(s,cxe)))+h,hct(s,cxe,d),h-=p,s=zz(vTt(s,oxe),86)}++r,f=(u=0==u.d.b?t$t(new db(e),r):zz(iO(new gb(lwt(new db(u).a.d,0))),86))?zz(vTt(u,axe),86):null}}function LZt(t,e){var n,i,r,a,o,s,c,u,h;for(s=!0,r=0,c=t.f[e.p],u=e.o.b+t.n,n=t.c[e.p][2],a5(t.a,c,rft(zz(PH(t.a,c),19).a-1+n)),a5(t.b,c,Zv(TB(PH(t.b,c)))-u+n*t.e),++c>=t.i?(++t.i,Kz(t.a,rft(1)),Kz(t.b,u)):(i=t.c[e.p][1],a5(t.a,c,rft(zz(PH(t.a,c),19).a+1-i)),a5(t.b,c,Zv(TB(PH(t.b,c)))+u-i*t.e)),(t.q==(lNt(),Eye)&&(zz(PH(t.a,c),19).a>t.j||zz(PH(t.a,c-1),19).a>t.j)||t.q==Sye&&(Zv(TB(PH(t.b,c)))>t.k||Zv(TB(PH(t.b,c-1)))>t.k))&&(s=!1),a=new cU(JO(fdt(e).a.Kc(),new l));bLt(a);)o=zz(Y5(a),17).c.i,t.f[o.p]==c&&(r+=zz((h=LZt(t,o)).a,19).a,s=s&&Hv(EB(h.b)));return t.f[e.p]=c,new rM(rft(r+=t.c[e.p][0]),(lN(),!!s))}function DZt(t,e,i,r,a){var o,s,c,u,l,h,f,d,g,p,b,w,y;for(f=new Pw,s=new Nw,aMt(t,i,t.d.fg(),s,f),aMt(t,r,t.d.gg(),s,f),t.b=.2*(b=qLt(gtt(new FH(null,new g1(s,16)),new So)),w=qLt(gtt(new FH(null,new g1(s,16)),new 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i,r,a,o,s,c,u,l,h,f,d,g,p,b;for(i=zz(vTt(t,(HGt(),nwe)),98),s=t.f,o=t.d,c=s.a+o.b+o.c,u=0-o.d-t.c.b,h=s.b+o.d+o.a-t.c.b,l=new Nw,f=new Nw,a=new Kd(e);a.a<a.c.c.length;){switch(r=zz(t0(a),10),i.g){case 1:case 2:case 3:jNt(r);break;case 4:g=(d=zz(vTt(r,twe),8))?d.a:0,r.n.a=c*Zv(TB(vTt(r,(hKt(),Efe))))-g,Jot(r,!0,!1);break;case 5:b=(p=zz(vTt(r,twe),8))?p.a:0,r.n.a=Zv(TB(vTt(r,(hKt(),Efe))))-b,Jot(r,!0,!1),s.a=n.Math.max(s.a,r.n.a+r.o.a/2)}switch(zz(vTt(r,(hKt(),Xhe)),61).g){case 1:r.n.b=u,l.c[l.c.length]=r;break;case 3:r.n.b=h,f.c[f.c.length]=r}}switch(i.g){case 1:case 2:Rht(l,t),Rht(f,t);break;case 3:$ht(l,t),$ht(f,t)}}function BZt(t,e){var n,i,r,a,o,s,c,u,l,h;for(l=new Nw,h=new Ow,a=null,r=0,i=0;i<e.length;++i)switch(Rut(a,n=e[i])&&(r=Mpt(t,h,l,Rme,r)),OP(n,(hKt(),rfe))&&(a=zz(vTt(n,rfe),10)),n.k.g){case 0:for(c=HL(Rz(sdt(n,(kYt(),uMe)),new Pa));trt(c);)o=zz(S9(c),11),t.d[o.p]=r++,l.c[l.c.length]=o;for(r=Mpt(t,h,l,Rme,r),u=HL(Rz(sdt(n,CMe),new 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n,i,r,a,o,s,c,u,l,h,f,d;if(t.c=t.d,f=null==(d=EB(vTt(e,(HGt(),pwe))))||(xK(d),d),a=zz(vTt(e,(hKt(),Jhe)),21).Hc((gBt(),fhe)),n=!((r=zz(vTt(e,nwe),98))==(V_t(),YAe)||r==KAe||r==GAe),!f||!n&&a)h=new Qv(Ast(Zx(kse,1),JJt,37,0,[e]));else{for(l=new Kd(e.a);l.a<l.c.c.length;)zz(t0(l),10).p=0;for(h=new Nw,u=new Kd(e.a);u.a<u.c.c.length;)if(i=N$t(t,zz(t0(u),10),null)){for(Zot(c=new vit,e),hct(c,Ghe,zz(i.b,21)),xX(c.d,e.d),hct(c,qbe,null),s=zz(i.a,15).Kc();s.Ob();)o=zz(s.Pb(),10),Kz(c.a,o),o.a=c;h.Fc(c)}a&&(ZM(vTt(e,Ape))===ZM((qht(),fse))?t.c=t.b:t.c=t.a)}return ZM(vTt(e,Ape))!==ZM((qht(),gse))&&(CX(),h.ad(new Ne)),h}function $Zt(t){NT(t,new CEt(mk(pk(yk(gk(wk(bk(new bs,V3t),"ELK Mr. Tree"),"Tree-based algorithm provided by the Eclipse Layout Kernel. 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aUt(t,e,i,r){var a,o,s,c,u,l,h,f,d,g,p,b;for(g=ZCt(oBt(e,!1,!1)),r&&(g=Jct(g)),b=Zv(TB(tDt(e,(Ewt(),wae)))),SP(0!=g.b),d=zz(g.a.a.c,8),l=zz(Fwt(g,1),8),g.b>2?(wst(u=new Nw,new u1(g,1,g.b)),Zot(p=new ELt(KGt(u,b+t.a)),e),i.c[i.c.length]=p):p=zz(FG(t.b,r?ATt(e):LTt(e)),266),s=ATt(e),r&&(s=LTt(e)),o=rSt(d,s),c=b+t.a,o.a?(c+=n.Math.abs(d.b-l.b),f=new PA(l.a,(l.b+d.b)/2)):(c+=n.Math.abs(d.a-l.a),f=new PA((l.a+d.a)/2,l.b)),WK(r?t.d:t.c,e,new Imt(p,o,f,c)),WK(t.b,e,p),!e.n&&(e.n=new nY(UIe,e,1,7)),h=new LO(e.n);h.e!=h.i.gc();)a=JFt(t,zz(kwt(h),137),!0,0,0),i.c[i.c.length]=a}function oUt(t){var e,i,r,a,o,s,c,u,l;for(u=new Nw,s=new Nw,o=new Kd(t);o.a<o.c.c.length;)Wf(r=zz(t0(o),112),r.f.c.length),Xf(r,r.k.c.length),0==r.d&&(u.c[u.c.length]=r),0==r.i&&0==r.e.b&&(s.c[s.c.length]=r);for(i=-1;0!=u.c.length;)for(e=new Kd((r=zz(u6(u,0),112)).k);e.a<e.c.c.length;)Vf(l=zz(t0(e),129).b,n.Math.max(l.o,r.o+1)),i=n.Math.max(i,l.o),Wf(l,l.d-1),0==l.d&&(u.c[u.c.length]=l);if(i>-1){for(a=new 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i,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y;if((h=zz(zz(l6(t.r,e),21),84)).gc()<=2||e==(kYt(),cMe)||e==(kYt(),AMe))JYt(t,e);else{for(b=t.u.Hc((dMt(),aMe)),i=e==(kYt(),uMe)?(Fot(),Fre):(Fot(),Nre),y=e==uMe?(Z9(),ire):(Z9(),are),r=Jx(q$(i),t.s),w=e==uMe?RXt:$Xt,l=h.Kc();l.Ob();)!(c=zz(l.Pb(),111)).c||c.c.d.c.length<=0||(p=c.b.rf(),g=c.e,(d=(f=c.c).i).b=(o=f.n,f.e.a+o.b+o.c),d.a=(s=f.n,f.e.b+s.d+s.a),b?(d.c=g.a-(a=f.n,f.e.a+a.b+a.c)-t.s,b=!1):d.c=g.a+p.a+t.s,IV(y,cQt),f.f=y,f8(f,(Q8(),Qie)),Kz(r.d,new PZ(d,kft(r,d))),w=e==uMe?n.Math.min(w,g.b):n.Math.max(w,g.b+c.b.rf().b));for(w+=e==uMe?-t.t:t.t,Agt((r.e=w,r)),u=h.Kc();u.Ob();)!(c=zz(u.Pb(),111)).c||c.c.d.c.length<=0||((d=c.c.i).c-=c.e.a,d.d-=c.e.b)}}function OUt(t,e,i){var r;if(LEt(i,"StretchWidth layering",1),0!=e.a.c.length){for(t.c=e,t.t=0,t.u=0,t.i=RXt,t.g=$Xt,t.d=Zv(TB(vTt(e,(HGt(),vwe)))),Ywt(t),ALt(t),SLt(t),Bkt(t),bpt(t),t.i=n.Math.max(1,t.i),t.g=n.Math.max(1,t.g),t.d=t.d/t.i,t.f=t.g/t.i,t.s=jyt(t),r=new 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r,a,o,s,c,u,l,h,f,d,g,p,b,w,y;if(b=t.n,w=t.o,d=t.d,f=Zv(TB(ipt(t,(HGt(),wwe)))),e){for(h=f*(e.gc()-1),g=0,u=e.Kc();u.Ob();)h+=(s=zz(u.Pb(),10)).o.a,g=n.Math.max(g,s.o.b);for(y=b.a-(h-w.a)/2,o=b.b-d.d+g,a=r=w.a/(e.gc()+1),c=e.Kc();c.Ob();)(s=zz(c.Pb(),10)).n.a=y,s.n.b=o-s.o.b,y+=s.o.a+f,(l=FOt(s)).n.a=s.o.a/2-l.a.a,l.n.b=s.o.b,(p=zz(vTt(s,(hKt(),Rhe)),11)).e.c.length+p.g.c.length==1&&(p.n.a=a-p.a.a,p.n.b=0,AJ(p,t)),a+=r}if(i){for(h=f*(i.gc()-1),g=0,u=i.Kc();u.Ob();)h+=(s=zz(u.Pb(),10)).o.a,g=n.Math.max(g,s.o.b);for(y=b.a-(h-w.a)/2,o=b.b+w.b+d.a-g,a=r=w.a/(i.gc()+1),c=i.Kc();c.Ob();)(s=zz(c.Pb(),10)).n.a=y,s.n.b=o,y+=s.o.a+f,(l=FOt(s)).n.a=s.o.a/2-l.a.a,l.n.b=0,(p=zz(vTt(s,(hKt(),Rhe)),11)).e.c.length+p.g.c.length==1&&(p.n.a=a-p.a.a,p.n.b=w.b,AJ(p,t)),a+=r}}function XUt(t,e){var i,r,a,o,s,c;if(zz(vTt(e,(hKt(),Jhe)),21).Hc((gBt(),fhe))){for(c=new 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PA(i.g,i.f),zz(vTt(n,Ype),103),n),(hKt(),pfe),i),qf(a=zz(PH(r.j,0),11),_$t(i)),hct(r,awe,(dMt(),edt(rMe))),l=zz(tDt(e,awe),174).Hc(nMe),s=new LO((!i.n&&(i.n=new nY(UIe,i,1,7)),i.n));s.e!=s.i.gc();)if(!Hv(EB(tDt(o=zz(kwt(s),137),Zbe)))&&o.a&&(h=Hlt(o),Kz(a.f,h),!l))switch(u=0,qU(zz(tDt(e,awe),21))&&(u=OMt(new PA(o.i,o.j),new PA(o.g,o.f),new PA(i.g,i.f),0,p)),p.g){case 2:case 4:h.o.a=u;break;case 1:case 3:h.o.b=u}hct(r,Awe,TB(tDt(QQ(e),Awe))),hct(r,Mwe,TB(tDt(QQ(e),Mwe))),hct(r,Cwe,TB(tDt(QQ(e),Cwe))),Kz(n.a,r),WK(t.a,i,r)}function QUt(t,e,n){var i,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m;for(LEt(n,"Processor arrange level",1),l=0,CX(),jrt(e,new ow((ZHt(),ixe))),a=e.b,s=lwt(e,e.b),u=!0;u&&s.b.b!=s.d.a;)b=zz(Y0(s),86),0==zz(vTt(b,ixe),19).a?--a:u=!1;if(o=new t$(new u1(e,0,a)),c=new t$(new u1(e,a,e.b)),0==o.b)for(d=lwt(c,0);d.b!=d.d.c;)hct(zz(d3(d),86),lxe,rft(l++));else for(h=o.b,m=lwt(o,0);m.b!=m.d.c;){for(hct(y=zz(d3(m),86),lxe,rft(l++)),QUt(t,i=Bst(y),vat(n,1/h|0)),jrt(i,XK(new ow(lxe))),f=new 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c,u,l,h,f,d,g,p,b,w,y,m;for(f=null,r==(pQ(),Ove)?f=e:r==Nve&&(f=i),p=f.a.ec().Kc();p.Ob();){for(g=zz(p.Pb(),11),b=Dct(Ast(Zx(STe,1),lWt,8,0,[g.i.n,g.n,g.a])).b,m=new Fy,c=new Fy,l=new m6(g.b);vD(l.a)||vD(l.b);)if(Hv(EB(vTt(u=zz(vD(l.a)?t0(l.a):t0(l.b),17),(hKt(),Afe))))==a&&-1!=_9(o,u,0)){if(w=u.d==g?u.c:u.d,y=Dct(Ast(Zx(STe,1),lWt,8,0,[w.i.n,w.n,w.a])).b,n.Math.abs(y-b)<.2)continue;y<b?e.a._b(w)?EY(m,new rM(Ove,u)):EY(m,new rM(Nve,u)):e.a._b(w)?EY(c,new rM(Ove,u)):EY(c,new rM(Nve,u))}if(m.a.gc()>1)for(n5(m,new uA(t,d=new hHt(g,m,r))),s.c[s.c.length]=d,h=m.a.ec().Kc();h.Ob();)v9(o,zz(h.Pb(),46).b);if(c.a.gc()>1)for(n5(c,new lA(t,d=new hHt(g,c,r))),s.c[s.c.length]=d,h=c.a.ec().Kc();h.Ob();)v9(o,zz(h.Pb(),46).b)}}function nYt(t){NT(t,new CEt(pk(yk(gk(wk(bk(new bs,p4t),"ELK Radial"),'A radial layout provider which is based on the algorithm of Peter Eades published in "Drawing free trees.", published by International Institute for Advanced Study of Social Information Science, Fujitsu 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cU(JO(bOt(zz(kwt(x),33)).a.Kc(),new l));bLt(f);)eLt(h=zz(Y5(f),79))||qGt(h,e,_,k);$Yt(t,_+=a.b+a.c,k+=a.d+a.a,!1,!0)}function aYt(t){var e,n,i,r,a,o,s,c,u,l,h;if(null==t)throw qw(new Tx(YKt));if(u=t,c=!1,(a=t.length)>0&&(d1(0,t.length),45!=(e=t.charCodeAt(0))&&43!=e||(t=t.substr(1),--a,c=45==e)),0==a)throw qw(new Tx(FXt+u+'"'));for(;t.length>0&&(d1(0,t.length),48==t.charCodeAt(0));)t=t.substr(1),--a;if(a>(rjt(),Bee)[10])throw qw(new Tx(FXt+u+'"'));for(r=0;r<a;r++)if(-1==ibt((d1(r,t.length),t.charCodeAt(r))))throw qw(new Tx(FXt+u+'"'));for(h=0,o=Nee[10],l=Pee[10],s=k9(Fee[10]),n=!0,(i=a%o)>0&&(h=-parseInt(t.substr(0,i),10),t=t.substr(i),a-=i,n=!1);a>=o;){if(i=parseInt(t.substr(0,o),10),t=t.substr(o),a-=o,n)n=!1;else{if(Xlt(h,s)<0)throw qw(new Tx(FXt+u+'"'));h=odt(h,l)}h=rdt(h,i)}if(Xlt(h,0)>0)throw qw(new Tx(FXt+u+'"'));if(!c&&Xlt(h=k9(h),0)<0)throw qw(new Tx(FXt+u+'"'));return h}function oYt(t,e){var n,i,r,a,o,s,c;if(Jq(),this.a=new 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T2(t,0),hI(E,rft(t.c.length)),w=zz(d3(_=lwt(E,0)),19).a,hI(k,d),x=lwt(k,0),v=0;l.b<l.d.gc();)l.b==w&&(M=i.b,v=Zv(TB(d3(x))),w=zz(d3(_),19).a),SP(l.b<l.d.gc()),y=(c=zz(l.d.Xb(l.c=l.b++),33)).f,Cnt(c,v),p=v,l.b==w&&(b=h-M-i.c,m=c.g,Snt(c,b),dAt(c,new PA(b,p),new PA(m,y))),M+=c.g+e;return new PA(h,S)}function ZYt(t,e){var i,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x,k,_,E,T,C;for(LEt(e,"Compound graph postprocessor",1),i=Hv(EB(vTt(t,(HGt(),Bwe)))),c=zz(vTt(t,(hKt(),qhe)),224),h=new Fy,y=c.ec().Kc();y.Ob();){for(w=zz(y.Pb(),17),s=new e$(c.cc(w)),CX(),mD(s,new $g(t)),k=oat((f1(0,s.c.length),zz(s.c[0],243))),E=sat(zz(PH(s,s.c.length-1),243)),v=k.i,m=pot(E.i,v)?v.e:yK(v),f=Dwt(w,s),vX(w.a),d=null,o=new Kd(s);o.a<o.c.c.length;)a=zz(t0(o),243),LSt(b=new Zk,a.a,m),g=a.b,Wut(r=new xm,0,g.a),tnt(r,b),x=new gL(b1(g.c)),_=new 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W_(o=a[l++])&&W_(s=a[l++])?(e=KOe[o],n=KOe[s],c=a[l++],u=a[l++],-1==KOe[c]||-1==KOe[u]?61==c&&61==u?0!=(15&n)?null:(sqt(h,0,b=P7(NNe,m6t,25,3*d+1,15,1),0,3*d),b[f]=(e<<2|n>>4)<<24>>24,b):61!=c&&61==u?0!=(3&(i=KOe[c]))?null:(sqt(h,0,b=P7(NNe,m6t,25,3*d+2,15,1),0,3*d),b[f++]=(e<<2|n>>4)<<24>>24,b[f]=((15&n)<<4|i>>2&15)<<24>>24,b):null:(i=KOe[c],r=KOe[u],h[f++]=(e<<2|n>>4)<<24>>24,h[f++]=((15&n)<<4|i>>2&15)<<24>>24,h[f++]=(i<<6|r)<<24>>24,h)):null}function KYt(t,e){var n,i,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m;for(LEt(e,L1t,1),f=zz(vTt(t,(HGt(),Jpe)),218),i=new Kd(t.b);i.a<i.c.c.length;)for(o=0,s=(a=t2(zz(t0(i),29).a)).length;o<s;++o)if((r=a[o]).k==(cCt(),Mse)){if(f==(Cdt(),QSe))for(u=new Kd(r.j);u.a<u.c.c.length;)0==(c=zz(t0(u),11)).e.c.length||Dbt(c),0==c.g.c.length||Obt(c);else if(aO(vTt(r,(hKt(),pfe)),17))g=zz(vTt(r,pfe),17),p=zz(FCt(r,(kYt(),AMe)).Kc().Pb(),11),b=zz(FCt(r,cMe).Kc().Pb(),11),w=zz(vTt(p,pfe),11),CJ(g,y=zz(vTt(b,pfe),11)),TJ(g,w),(m=new gL(b.i.n)).a=Dct(Ast(Zx(STe,1),lWt,8,0,[y.i.n,y.n,y.a])).a,Bq(g.a,m),(m=new gL(p.i.n)).a=Dct(Ast(Zx(STe,1),lWt,8,0,[w.i.n,w.n,w.a])).a,Bq(g.a,m);else{if(r.j.c.length>=2){for(d=!0,n=zz(t0(l=new Kd(r.j)),11),h=null;l.a<l.c.c.length;)if(h=n,n=zz(t0(l),11),!Pht(vTt(h,pfe),vTt(n,pfe))){d=!1;break}}else d=!1;for(u=new Kd(r.j);u.a<u.c.c.length;)0==(c=zz(t0(u),11)).e.c.length||cPt(c,d),0==c.g.c.length||uPt(c,d)}SJ(r,null)}HCt(e)}function WYt(t,e,i){var r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x,k,_,E,T;return 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Kd(e.wf());s.a<s.c.c.length;)o=zz(t0(s),181),a.c=o.qf().a+e.qf().a,a.d=o.qf().b+e.qf().b,a.b=o.rf().a,a.a=o.rf().b,MSt(r,a);for(l=new Kd(e.Cf());l.a<l.c.c.length;){if(h=(u=zz(t0(l),838)).qf().a+e.qf().a,f=u.qf().b+e.qf().b,t.e&&(a.c=h,a.d=f,a.b=u.rf().a,a.a=u.rf().b,MSt(r,a)),t.d)for(s=new Kd(u.wf());s.a<s.c.c.length;)o=zz(t0(s),181),a.c=o.qf().a+h,a.d=o.qf().b+f,a.b=o.rf().a,a.a=o.rf().b,MSt(r,a);if(t.b){if(d=new PA(-i,-i),zz(e.We((lKt(),hSe)),174).Hc((dMt(),rMe)))for(s=new Kd(u.wf());s.a<s.c.c.length;)o=zz(t0(s),181),d.a+=o.rf().a+i,d.b+=o.rf().b+i;d.a=n.Math.max(d.a,0),d.b=n.Math.max(d.b,0),K$t(r,u.Bf(),u.zf(),e,u,d,i)}}t.b&&K$t(r,e.Bf(),e.zf(),e,null,null,i),(c=new L$(e.Af())).d=n.Math.max(0,e.qf().b-r.d),c.a=n.Math.max(0,r.d+r.a-(e.qf().b+e.rf().b)),c.b=n.Math.max(0,e.qf().a-r.c),c.c=n.Math.max(0,r.c+r.b-(e.qf().a+e.rf().a)),e.Ef(c)}function VYt(){var t=["\\u0000","\\u0001","\\u0002","\\u0003","\\u0004","\\u0005","\\u0006","\\u0007","\\b","\\t","\\n","\\u000B","\\f","\\r","\\u000E","\\u000F","\\u0010","\\u0011","\\u0012","\\u0013","\\u0014","\\u0015","\\u0016","\\u0017","\\u0018","\\u0019","\\u001A","\\u001B","\\u001C","\\u001D","\\u001E","\\u001F"];return t[34]='\\"',t[92]="\\\\",t[173]="\\u00ad",t[1536]="\\u0600",t[1537]="\\u0601",t[1538]="\\u0602",t[1539]="\\u0603",t[1757]="\\u06dd",t[1807]="\\u070f",t[6068]="\\u17b4",t[6069]="\\u17b5",t[8203]="\\u200b",t[8204]="\\u200c",t[8205]="\\u200d",t[8206]="\\u200e",t[8207]="\\u200f",t[8232]="\\u2028",t[8233]="\\u2029",t[8234]="\\u202a",t[8235]="\\u202b",t[8236]="\\u202c",t[8237]="\\u202d",t[8238]="\\u202e",t[8288]="\\u2060",t[8289]="\\u2061",t[8290]="\\u2062",t[8291]="\\u2063",t[8292]="\\u2064",t[8298]="\\u206a",t[8299]="\\u206b",t[8300]="\\u206c",t[8301]="\\u206d",t[8302]="\\u206e",t[8303]="\\u206f",t[65279]="\\ufeff",t[65529]="\\ufff9",t[65530]="\\ufffa",t[65531]="\\ufffb",t}function 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n,i,r,a,o,s,c,u,l,h,f;for(u=zz(zz(l6(t.r,e),21),84),o=JEt(t,e),n=t.u.Hc((dMt(),tMe)),c=u.Kc();c.Ob();)if((s=zz(c.Pb(),111)).c&&!(s.c.d.c.length<=0)){switch(f=s.b.rf(),(h=(l=s.c).i).b=(a=l.n,l.e.a+a.b+a.c),h.a=(r=l.n,l.e.b+r.d+r.a),e.g){case 1:s.a?(h.c=(f.a-h.b)/2,f8(l,(Q8(),Xie))):o||n?(h.c=-h.b-t.s,f8(l,(Q8(),Qie))):(h.c=f.a+t.s,f8(l,(Q8(),Vie))),h.d=-h.a-t.t,KB(l,(Z9(),ire));break;case 3:s.a?(h.c=(f.a-h.b)/2,f8(l,(Q8(),Xie))):o||n?(h.c=-h.b-t.s,f8(l,(Q8(),Qie))):(h.c=f.a+t.s,f8(l,(Q8(),Vie))),h.d=f.b+t.t,KB(l,(Z9(),are));break;case 2:s.a?(i=t.v?h.a:zz(PH(l.d,0),181).rf().b,h.d=(f.b-i)/2,KB(l,(Z9(),rre))):o||n?(h.d=-h.a-t.t,KB(l,(Z9(),ire))):(h.d=f.b+t.t,KB(l,(Z9(),are))),h.c=f.a+t.s,f8(l,(Q8(),Vie));break;case 4:s.a?(i=t.v?h.a:zz(PH(l.d,0),181).rf().b,h.d=(f.b-i)/2,KB(l,(Z9(),rre))):o||n?(h.d=-h.a-t.t,KB(l,(Z9(),ire))):(h.d=f.b+t.t,KB(l,(Z9(),are))),h.c=-h.b-t.s,f8(l,(Q8(),Qie))}o=!1}}function tGt(t,e){var n,i,r,a,o,s,c,u,l,h,f;if(pKt(),0==NE(iNe)){for(h=P7(MNe,lWt,117,aNe.length,0,1),o=0;o<h.length;o++)h[o]=new T0(4);for(i=new Sx,a=0;a<nNe.length;a++){if(l=new T0(4),a<84?(d1(s=2*a,mte.length),f=mte.charCodeAt(s),d1(s+1,mte.length),QPt(l,f,mte.charCodeAt(s+1))):QPt(l,oNe[s=2*(a-84)],oNe[s+1]),mR(c=nNe[a],"Specials")&&QPt(l,65520,65533),mR(c,wte)&&(QPt(l,983040,1048573),QPt(l,1048576,1114109)),mJ(iNe,c,l),mJ(rNe,c,Ojt(l)),0<(u=i.a.length)?i.a=i.a.substr(0,0):0>u&&(i.a+=rO(P7(INe,WWt,25,-u,15,1))),i.a+="Is",ZI(c,QEt(32))>=0)for(r=0;r<c.length;r++)d1(r,c.length),32!=c.charCodeAt(r)&&NG(i,(d1(r,c.length),c.charCodeAt(r)));else i.a+=""+c;Tpt(i.a,c,!0)}Tpt(yte,"Cn",!1),Tpt(vte,"Cn",!0),QPt(n=new T0(4),0,cte),mJ(iNe,"ALL",n),mJ(rNe,"ALL",Ojt(n)),!CNe&&(CNe=new Pw),mJ(CNe,yte,yte),!CNe&&(CNe=new Pw),mJ(CNe,vte,vte),!CNe&&(CNe=new Pw),mJ(CNe,"ALL","ALL")}return zz(CQ(e?iNe:rNe,t),136)}function eGt(t,e,n,i){var r,a,o,s,c,u,l,h,f,d,g,p,b,w;if(f=!1,h=!1,yL(zz(vTt(i,(HGt(),nwe)),98))){o=!1,s=!1;t:for(g=new Kd(i.j);g.a<g.c.c.length;)for(d=zz(t0(g),11),p=NY(Wnt(Ast(Zx(Bte,1),HKt,20,0,[new qg(d),new Zg(d)])));bLt(p);)if(!Hv(EB(vTt(zz(Y5(p),11).i,Epe)))){if(d.j==(kYt(),uMe)){o=!0;break t}if(d.j==CMe){s=!0;break t}}f=s&&!o,h=o&&!s}if(f||h||0==i.b.c.length)w=!h;else{for(l=0,u=new Kd(i.b);u.a<u.c.c.length;)l+=(c=zz(t0(u),70)).n.b+c.o.b/2;w=(l/=i.b.c.length)>=i.o.b/2}w?(b=zz(vTt(i,(hKt(),Rfe)),15))?f?a=b:(r=zz(vTt(i,Bhe),15))?a=b.gc()<=r.gc()?b:r:(a=new Nw,hct(i,Bhe,a)):(a=new Nw,hct(i,Rfe,a)):(r=zz(vTt(i,(hKt(),Bhe)),15))?h?a=r:(b=zz(vTt(i,Rfe),15))?a=r.gc()<=b.gc()?r:b:(a=new Nw,hct(i,Rfe,a)):(a=new Nw,hct(i,Bhe,a)),a.Fc(t),hct(t,(hKt(),Rhe),n),e.d==n?(TJ(e,null),n.e.c.length+n.g.c.length==0&&AJ(n,null),wut(n)):(CJ(e,null),n.e.c.length+n.g.c.length==0&&AJ(n,null)),vX(e.a)}function nGt(t,e){var n,i,r,a,o,s,c,u,h,f,d,g,p,b,w,y,m,v,x,k,_,E,T,C,S,A,M;for(y=new T2(t.b,0),p=0,u=zz((h=e.Kc()).Pb(),19).a,x=0,n=new Fy,_=new hL;y.b<y.d.gc();){for(SP(y.b<y.d.gc()),v=new Kd(zz(y.d.Xb(y.c=y.b++),29).a);v.a<v.c.c.length;){for(g=new cU(JO(ddt(m=zz(t0(v),10)).a.Kc(),new l));bLt(g);)f=zz(Y5(g),17),_.a.zc(f,_);for(d=new cU(JO(fdt(m).a.Kc(),new l));bLt(d);)f=zz(Y5(d),17),_.a.Bc(f)}if(p+1==u){for(vF(y,r=new qG(t)),vF(y,a=new qG(t)),T=_.a.ec().Kc();T.Ob();)E=zz(T.Pb(),17),n.a._b(E)||(++x,n.a.zc(E,n)),hct(o=new Oyt(t),(HGt(),nwe),(V_t(),WAe)),SJ(o,r),zf(o,(cCt(),Ese)),AJ(b=new MCt,o),ZAt(b,(kYt(),AMe)),AJ(C=new MCt,o),ZAt(C,cMe),hct(i=new Oyt(t),nwe,WAe),SJ(i,a),zf(i,Ese),AJ(w=new MCt,i),ZAt(w,AMe),AJ(S=new MCt,i),ZAt(S,cMe),CJ(k=new gV,E.c),TJ(k,b),CJ(M=new gV,C),TJ(M,w),CJ(E,S),s=new y3(o,i,k,M,E),hct(o,(hKt(),Fhe),s),hct(i,Fhe,s),(A=k.c.i).k==Ese&&((c=zz(vTt(A,Fhe),305)).d=s,s.g=c);if(!h.Ob())break;u=zz(h.Pb(),19).a}++p}return rft(x)}function iGt(t,e,n){var i,r,a,o,s,c,u,l,h,f,d,g,p;for(h=0,r=new LO((!e.a&&(e.a=new nY(YIe,e,10,11)),e.a));r.e!=r.i.gc();)Hv(EB(tDt(i=zz(kwt(r),33),(HGt(),Zbe))))||(ZM(tDt(e,Ope))===ZM((vct(),Nye))&&ZM(tDt(e,Zpe))!==ZM((Xyt(),_le))&&ZM(tDt(e,Zpe))!==ZM((Xyt(),xle))&&!Hv(EB(tDt(e,Ppe)))&&ZM(tDt(e,Ape))===ZM((qht(),gse))||Hv(EB(tDt(i,Dpe)))||(Qwt(i,(hKt(),gfe),rft(h)),++h),pUt(t,i,n));for(h=0,u=new LO((!e.b&&(e.b=new nY($Ie,e,12,3)),e.b));u.e!=u.i.gc();)s=zz(kwt(u),79),(ZM(tDt(e,(HGt(),Ope)))!==ZM((vct(),Nye))||ZM(tDt(e,Zpe))===ZM((Xyt(),_le))||ZM(tDt(e,Zpe))===ZM((Xyt(),xle))||Hv(EB(tDt(e,Ppe)))||ZM(tDt(e,Ape))!==ZM((qht(),gse)))&&(Qwt(s,(hKt(),gfe),rft(h)),++h),g=ATt(s),p=LTt(s),l=Hv(EB(tDt(g,gbe))),d=!Hv(EB(tDt(s,Zbe))),f=l&&VMt(s)&&Hv(EB(tDt(s,pbe))),a=QQ(g)==e&&QQ(g)==QQ(p),o=(QQ(g)==e&&p==e)^(QQ(p)==e&&g==e),d&&!f&&(o||a)&&cKt(t,s,e,n);if(QQ(e))for(c=new LO(iX(QQ(e)));c.e!=c.i.gc();)(g=ATt(s=zz(kwt(c),79)))==e&&VMt(s)&&(f=Hv(EB(tDt(g,(HGt(),gbe))))&&Hv(EB(tDt(s,pbe))))&&cKt(t,s,e,n)}function rGt(t,e,i){var r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x,k,_,E,T,C,S,A,M,I,L;for(LEt(i,"MinWidth layering",1),g=e.b,E=e.a,L=zz(vTt(e,(HGt(),_be)),19).a,c=zz(vTt(e,Ebe),19).a,t.b=Zv(TB(vTt(e,vwe))),t.d=RXt,x=new Kd(E);x.a<x.c.c.length;)(m=zz(t0(x),10)).k==(cCt(),Ase)&&(S=m.o.b,t.d=n.Math.min(t.d,S));for(t.d=n.Math.max(1,t.d),T=E.c.length,t.c=P7(LNe,hXt,25,T,15,1),t.f=P7(LNe,hXt,25,T,15,1),t.e=P7(PNe,ZXt,25,T,15,1),l=0,t.a=0,k=new Kd(E);k.a<k.c.c.length;)(m=zz(t0(k),10)).p=l++,t.c[m.p]=plt(fdt(m)),t.f[m.p]=plt(ddt(m)),t.e[m.p]=m.o.b/t.d,t.a+=t.e[m.p];for(t.b/=t.d,t.a/=T,_=_It(E),mD(E,XK(new Rp(t))),b=RXt,p=FKt,s=null,I=L,M=L,o=c,a=c,L<0&&(I=zz(Eme.a.zd(),19).a,M=zz(Eme.b.zd(),19).a),c<0&&(o=zz(_me.a.zd(),19).a,a=zz(_me.b.zd(),19).a),A=I;A<=M;A++)for(r=o;r<=a;r++)y=Zv(TB((C=Nzt(t,A,r,E,_)).a)),w=(d=zz(C.b,15)).gc(),(y<b||y==b&&w<p)&&(b=y,p=w,s=d);for(f=s.Kc();f.Ob();){for(h=zz(f.Pb(),15),u=new qG(e),v=h.Kc();v.Ob();)SJ(m=zz(v.Pb(),10),u);g.c[g.c.length]=u}JSt(g),E.c=P7(Dte,HKt,1,0,5,1),HCt(i)}function aGt(t,e){var i,r,a,o,s,c,u,h,f,d,g,p,b,w,y,m,v,x,k,_,E,T;for(t.b=e,t.a=zz(vTt(e,(HGt(),lbe)),19).a,t.c=zz(vTt(e,fbe),19).a,0==t.c&&(t.c=FKt),b=new T2(e.b,0);b.b<b.d.gc();){for(SP(b.b<b.d.gc()),p=zz(b.d.Xb(b.c=b.b++),29),c=new Nw,f=-1,v=-1,m=new Kd(p.a);m.a<m.c.c.length;)y=zz(t0(m),10),j3((H$(),new cU(JO(hdt(y).a.Kc(),new l))))>=t.a&&(r=xzt(t,y),f=n.Math.max(f,r.b),v=n.Math.max(v,r.d),Kz(c,new rM(y,r)));for(_=new Nw,h=0;h<f;++h)xZ(_,0,(SP(b.b>0),b.a.Xb(b.c=--b.b),vF(b,E=new qG(t.b)),SP(b.b<b.d.gc()),b.d.Xb(b.c=b.b++),E));for(s=new Kd(c);s.a<s.c.c.length;)if(a=zz(t0(s),46),g=zz(a.b,571).a)for(d=new Kd(g);d.a<d.c.c.length;)cxt(t,zz(t0(d),10),Yse,_);for(i=new Nw,u=0;u<v;++u)Kz(i,(vF(b,T=new qG(t.b)),T));for(o=new Kd(c);o.a<o.c.c.length;)if(a=zz(t0(o),46),k=zz(a.b,571).c)for(x=new Kd(k);x.a<x.c.c.length;)cxt(t,zz(t0(x),10),Gse,i)}for(w=new T2(e.b,0);w.b<w.d.gc();)SP(w.b<w.d.gc()),0==zz(w.d.Xb(w.c=w.b++),29).a.c.length&&hK(w)}function oGt(t,e,i){var r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x,k,_,E,T,C,S,A;if(LEt(i,"Spline edge routing",1),0==e.b.c.length)return e.f.a=0,void HCt(i);y=Zv(TB(vTt(e,(HGt(),Lwe)))),c=Zv(TB(vTt(e,Ewe))),s=Zv(TB(vTt(e,xwe))),E=zz(vTt(e,rbe),336)==(Gut(),rme),_=Zv(TB(vTt(e,abe))),t.d=e,t.j.c=P7(Dte,HKt,1,0,5,1),t.a.c=P7(Dte,HKt,1,0,5,1),DY(t.k),h=WM((u=zz(PH(e.b,0),29)).a,(bPt(),kve)),f=WM((p=zz(PH(e.b,e.b.c.length-1),29)).a,kve),b=new Kd(e.b),w=null,A=0;do{for(RYt(t,w,m=b.a<b.c.c.length?zz(t0(b),29):null),Cjt(t),S=0,v=A,d=!w||h&&w==u,g=!m||f&&m==p,(T=$x(aat(NW(LW(new FH(null,new g1(t.i,16)),new xo),new vo))))>0?(l=0,w&&(l+=c),l+=(T-1)*s,m&&(l+=c),E&&m&&(l=n.Math.max(l,ePt(m,s,y,_))),l<y&&!d&&!g&&(S=(y-l)/2,l=y),v+=l):!d&&!g&&(v+=y),m&&THt(m,v),k=new Kd(t.i);k.a<k.c.c.length;)(x=zz(t0(k),128)).a.c=A,x.a.b=v-A,x.F=S,x.p=!w;wst(t.a,t.i),A=v,m&&(A+=m.c.a),w=m,d=g}while(m);for(a=new Kd(t.j);a.a<a.c.c.length;)o=vot(t,r=zz(t0(a),17)),hct(r,(hKt(),Dfe),o),C=FPt(t,r),hct(r,Nfe,C);e.f.a=A,t.d=null,HCt(i)}function sGt(t,e){var n,i,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m;if(p=0!=t.i,y=!1,b=null,mL(t.e)){if((l=e.gc())>0){for(f=l<100?null:new jk(l),g=(u=new _at(e)).g,b=P7(LNe,hXt,25,l,15,1),i=0,m=new wet(l),r=0;r<t.i;++r){d=s=t.g[r];t:for(w=0;w<2;++w){for(c=l;--c>=0;)if(null!=d?Pht(d,g[c]):ZM(d)===ZM(g[c])){b.length<=i&&sqt(b,0,b=P7(LNe,hXt,25,2*b.length,15,1),0,i),b[i++]=r,h8(m,g[c]);break t}if(ZM(d)===ZM(s))break}}if(u=m,g=m.g,l=i,i>b.length&&sqt(b,0,b=P7(LNe,hXt,25,i,15,1),0,i),i>0){for(y=!0,a=0;a<i;++a)f=UR(t,zz(d=g[a],72),f);for(o=i;--o>=0;)Nvt(t,b[o]);if(i!=l){for(r=l;--r>=i;)Nvt(u,r);sqt(b,0,b=P7(LNe,hXt,25,i,15,1),0,i)}e=u}}}else for(e=_vt(t,e),r=t.i;--r>=0;)e.Hc(t.g[r])&&(Nvt(t,r),y=!0);if(y){if(null!=b){for(h=1==(n=e.gc())?vJ(t,4,e.Kc().Pb(),null,b[0],p):vJ(t,6,e,b,b[0],p),f=n<100?null:new jk(n),r=e.Kc();r.Ob();)f=HR(t,zz(d=r.Pb(),72),f);f?(f.Ei(h),f.Fi()):got(t.e,h)}else{for(f=DR(e.gc()),r=e.Kc();r.Ob();)f=HR(t,zz(d=r.Pb(),72),f);f&&f.Fi()}return!0}return!1}function cGt(t,e){var n,i,r,a,o,s,c,u,h,f,d,g,p,b,w,y,m;for((n=new hyt(e)).a||w$t(e),u=dFt(e),c=new wQ,b=new VPt,p=new Kd(e.a);p.a<p.c.c.length;)for(r=new cU(JO(ddt(zz(t0(p),10)).a.Kc(),new l));bLt(r);)(i=zz(Y5(r),17)).c.i.k!=(cCt(),Tse)&&i.d.i.k!=Tse||JMt(c,cwt((h=dUt(t,i,u,b)).d),h.a);for(o=new Nw,m=zz(vTt(n.c,(hKt(),Ghe)),21).Kc();m.Ob();){switch(y=zz(m.Pb(),61),g=b.c[y.g],d=b.b[y.g],s=b.a[y.g],a=null,w=null,y.g){case 4:a=new YW(t.d.a,g,u.b.a-t.d.a,d-g),w=new YW(t.d.a,g,s,d-g),Uq(u,new PA(a.c+a.b,a.d)),Uq(u,new PA(a.c+a.b,a.d+a.a));break;case 2:a=new YW(u.a.a,g,t.c.a-u.a.a,d-g),w=new YW(t.c.a-s,g,s,d-g),Uq(u,new PA(a.c,a.d)),Uq(u,new PA(a.c,a.d+a.a));break;case 1:a=new YW(g,t.d.b,d-g,u.b.b-t.d.b),w=new YW(g,t.d.b,d-g,s),Uq(u,new PA(a.c,a.d+a.a)),Uq(u,new PA(a.c+a.b,a.d+a.a));break;case 3:a=new YW(g,u.a.b,d-g,t.c.b-u.a.b),w=new YW(g,t.c.b-s,d-g,s),Uq(u,new PA(a.c,a.d)),Uq(u,new PA(a.c+a.b,a.d))}a&&((f=new tm).d=y,f.b=a,f.c=w,f.a=QX(zz(l6(c,cwt(y)),21)),o.c[o.c.length]=f)}return wst(n.b,o),n.d=qlt(eZt(u)),n}function uGt(t,e,i){var r,a,o,s,c,u,l,h,f,d,g,p;if(null==i.p[e.p]){c=!0,i.p[e.p]=0,s=e,p=i.o==(cJ(),rve)?$Xt:RXt;do{a=t.b.e[s.p],o=s.c.a.c.length,i.o==rve&&a>0||i.o==ave&&a<o-1?(u=null,l=null,u=i.o==ave?zz(PH(s.c.a,a+1),10):zz(PH(s.c.a,a-1),10),uGt(t,l=i.g[u.p],i),p=t.e.bg(p,e,s),i.j[e.p]==e&&(i.j[e.p]=i.j[l.p]),i.j[e.p]==i.j[l.p]?(g=RD(t.d,s,u),i.o==ave?(r=Zv(i.p[e.p]),f=Zv(i.p[l.p])+Zv(i.d[u.p])-u.d.d-g-s.d.a-s.o.b-Zv(i.d[s.p]),c?(c=!1,i.p[e.p]=n.Math.min(f,p)):i.p[e.p]=n.Math.min(r,n.Math.min(f,p))):(r=Zv(i.p[e.p]),f=Zv(i.p[l.p])+Zv(i.d[u.p])+u.o.b+u.d.a+g+s.d.d-Zv(i.d[s.p]),c?(c=!1,i.p[e.p]=n.Math.max(f,p)):i.p[e.p]=n.Math.max(r,n.Math.max(f,p)))):(g=Zv(TB(vTt(t.a,(HGt(),Iwe)))),d=krt(t,i.j[e.p]),h=krt(t,i.j[l.p]),i.o==ave?Y1(d,h,Zv(i.p[e.p])+Zv(i.d[s.p])+s.o.b+s.d.a+g-(Zv(i.p[l.p])+Zv(i.d[u.p])-u.d.d)):Y1(d,h,Zv(i.p[e.p])+Zv(i.d[s.p])-s.d.d-Zv(i.p[l.p])-Zv(i.d[u.p])-u.o.b-u.d.a-g))):p=t.e.bg(p,e,s),s=i.a[s.p]}while(s!=e);Iy(t.e,e)}}function lGt(t,e,n){var i,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y;for(h=e,l=new wQ,f=new wQ,a=N2(h,B6t),UCt((i=new hX(t,n,l,f)).a,i.b,i.c,i.d,a),p=(l.i||(l.i=new qO(l,l.c))).Kc();p.Ob();)for(g=zz(p.Pb(),202),s=zz(l6(l,g),21).Kc();s.Ob();){if(o=s.Pb(),!(d=zz(lnt(t.d,o),202)))throw r=F2(h,Z6t),qw(new nx(X6t+o+V6t+r+W6t));!g.e&&(g.e=new lR(jIe,g,10,9)),h8(g.e,d)}for(w=(f.i||(f.i=new qO(f,f.c))).Kc();w.Ob();)for(b=zz(w.Pb(),202),u=zz(l6(f,b),21).Kc();u.Ob();){if(c=u.Pb(),!(d=zz(lnt(t.d,c),202)))throw r=F2(h,Z6t),qw(new nx(X6t+c+V6t+r+W6t));!b.g&&(b.g=new lR(jIe,b,9,10)),h8(b.g,d)}!n.b&&(n.b=new lR(RIe,n,4,7)),0!=n.b.i&&(!n.c&&(n.c=new lR(RIe,n,5,8)),0!=n.c.i)&&(!n.b&&(n.b=new lR(RIe,n,4,7)),n.b.i<=1&&(!n.c&&(n.c=new lR(RIe,n,5,8)),n.c.i<=1))&&1==(!n.a&&(n.a=new nY(jIe,n,6,6)),n.a).i&&(Syt(y=zz(Wet((!n.a&&(n.a=new nY(jIe,n,6,6)),n.a),0),202))||Ayt(y)||(Nit(y,zz(Wet((!n.b&&(n.b=new lR(RIe,n,4,7)),n.b),0),82)),Pit(y,zz(Wet((!n.c&&(n.c=new lR(RIe,n,5,8)),n.c),0),82))))}function hGt(t){var e,i,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x,k,_,E,T,C;for(v=0,x=(m=t.a).length;v<x;++v){for(y=m[v],u=FKt,l=FKt,g=new Kd(y.e);g.a<g.c.c.length;)(o=(f=zz(t0(g),10)).c?_9(f.c.a,f,0):-1)>0?(h=zz(PH(f.c.a,o-1),10),E=RD(t.b,f,h),b=f.n.b-f.d.d-(h.n.b+h.o.b+h.d.a+E)):b=f.n.b-f.d.d,u=n.Math.min(b,u),o<f.c.a.c.length-1?(h=zz(PH(f.c.a,o+1),10),E=RD(t.b,f,h),w=h.n.b-h.d.d-(f.n.b+f.o.b+f.d.a+E)):w=2*f.n.b,l=n.Math.min(w,l);for(c=FKt,a=!1,C=new Kd((r=zz(PH(y.e,0),10)).j);C.a<C.c.c.length;)for(T=zz(t0(C),11),p=r.n.b+T.n.b+T.a.b,i=new Kd(T.e);i.a<i.c.c.length;)e=(k=zz(t0(i),17).c).i.n.b+k.n.b+k.a.b-p,n.Math.abs(e)<n.Math.abs(c)&&n.Math.abs(e)<(e<0?u:l)&&(c=e,a=!0);for(_=new Kd((s=zz(PH(y.e,y.e.c.length-1),10)).j);_.a<_.c.c.length;)for(k=zz(t0(_),11),p=s.n.b+k.n.b+k.a.b,i=new Kd(k.g);i.a<i.c.c.length;)e=(T=zz(t0(i),17).d).i.n.b+T.n.b+T.a.b-p,n.Math.abs(e)<n.Math.abs(c)&&n.Math.abs(e)<(e<0?u:l)&&(c=e,a=!0);if(a&&0!=c)for(d=new Kd(y.e);d.a<d.c.c.length;)(f=zz(t0(d),10)).n.b+=c}}function fGt(t,e,n){var i,r,a,o,s,c,u,l,h,f,d,g,p,b;if(lY(t.a,e)){if(jE(zz(FG(t.a,e),53),n))return 1}else WK(t.a,e,new Fy);if(lY(t.a,n)){if(jE(zz(FG(t.a,n),53),e))return-1}else WK(t.a,n,new Fy);if(lY(t.e,e)){if(jE(zz(FG(t.e,e),53),n))return-1}else WK(t.e,e,new Fy);if(lY(t.e,n)){if(jE(zz(FG(t.a,n),53),e))return 1}else WK(t.e,n,new Fy);if(t.c==(vct(),Pye)||!OP(e,(hKt(),gfe))||!OP(n,(hKt(),gfe))){if(c=zz(_N(T4(Vct(LW(new FH(null,new g1(e.j,16)),new ua)),new la)),11),l=zz(_N(T4(Vct(LW(new FH(null,new g1(n.j,16)),new ha)),new fa)),11),c&&l){if(s=c.i,u=l.i,s&&s==u){for(f=new Kd(s.j);f.a<f.c.c.length;){if((h=zz(t0(f),11))==c)return sRt(t,n,e),-1;if(h==l)return sRt(t,e,n),1}return _D(r_t(t,e),r_t(t,n))}for(p=0,b=(g=t.d).length;p<b;++p){if((d=g[p])==s)return sRt(t,n,e),-1;if(d==u)return sRt(t,e,n),1}}if(!OP(e,(hKt(),gfe))||!OP(n,gfe))return(r=r_t(t,e))>(o=r_t(t,n))?sRt(t,e,n):sRt(t,n,e),r<o?-1:r>o?1:0}return(i=zz(vTt(e,(hKt(),gfe)),19).a)>(a=zz(vTt(n,gfe),19).a)?sRt(t,e,n):sRt(t,n,e),i<a?-1:i>a?1:0}function dGt(t,e,n,i){var r,a,o,s,c,u,l,h,f,d,g,p;if(Hv(EB(tDt(e,(lKt(),UCe)))))return CX(),CX(),lne;if(c=0!=(!e.a&&(e.a=new nY(YIe,e,10,11)),e.a).i,u=!(l=xMt(e)).dc(),c||u){if(!(r=zz(tDt(e,mSe),149)))throw qw(new rx("Resolved algorithm is not set; apply a LayoutAlgorithmResolver before computing layout."));if(p=IA(r,(hLt(),tLe)),Pbt(e),!c&&u&&!p)return CX(),CX(),lne;if(s=new Nw,ZM(tDt(e,_Ce))===ZM((cht(),wAe))&&(IA(r,VIe)||IA(r,XIe)))for(f=yFt(t,e),zrt(d=new VE,(!e.a&&(e.a=new nY(YIe,e,10,11)),e.a));0!=d.b;)Pbt(h=zz(0==d.b?null:(SP(0!=d.b),Det(d,d.a.a)),33)),ZM(tDt(h,_Ce))===ZM(mAe)||S7(h,nCe)&&!k5(r,tDt(h,mSe))?(wst(s,dGt(t,h,n,i)),Qwt(h,_Ce,mAe),$Rt(h)):zrt(d,(!h.a&&(h.a=new nY(YIe,h,10,11)),h.a));else for(f=(!e.a&&(e.a=new nY(YIe,e,10,11)),e.a).i,o=new LO((!e.a&&(e.a=new nY(YIe,e,10,11)),e.a));o.e!=o.i.gc();)wst(s,dGt(t,a=zz(kwt(o),33),n,i)),$Rt(a);for(g=new Kd(s);g.a<g.c.c.length;)Qwt(zz(t0(g),79),UCe,(lN(),!0));return Gbt(e,r,vat(i,f)),p$t(s),u&&p?l:(CX(),CX(),lne)}return CX(),CX(),lne}function gGt(t,e,n,i,r,a,o,s,c){var u,l,h,f,d,g,p;switch(d=n,zf(l=new Oyt(c),(cCt(),Tse)),hct(l,(hKt(),Vhe),o),hct(l,(HGt(),nwe),(V_t(),GAe)),p=Zv(TB(t.We(ewe))),hct(l,ewe,p),AJ(h=new MCt,l),e!=XAe&&e!=VAe||(d=i>=0?hgt(s):Tft(hgt(s)),t.Ye(swe,d)),u=new Zk,f=!1,t.Xe(twe)?(qP(u,zz(t.We(twe),8)),f=!0):vO(u,o.a/2,o.b/2),d.g){case 4:hct(l,xbe,(Tdt(),jfe)),hct(l,Zhe,(Jst(),Dle)),l.o.b=o.b,p<0&&(l.o.a=-p),ZAt(h,(kYt(),cMe)),f||(u.a=o.a),u.a-=o.a;break;case 2:hct(l,xbe,(Tdt(),qfe)),hct(l,Zhe,(Jst(),Ile)),l.o.b=o.b,p<0&&(l.o.a=-p),ZAt(h,(kYt(),AMe)),f||(u.a=0);break;case 1:hct(l,ife,(U9(),Ahe)),l.o.a=o.a,p<0&&(l.o.b=-p),ZAt(h,(kYt(),CMe)),f||(u.b=o.b),u.b-=o.b;break;case 3:hct(l,ife,(U9(),Che)),l.o.a=o.a,p<0&&(l.o.b=-p),ZAt(h,(kYt(),uMe)),f||(u.b=0)}if(qP(h.n,u),hct(l,twe,u),e==YAe||e==KAe||e==GAe){if(g=0,e==YAe&&t.Xe(iwe))switch(d.g){case 1:case 2:g=zz(t.We(iwe),19).a;break;case 3:case 4:g=-zz(t.We(iwe),19).a}else switch(d.g){case 4:case 2:g=a.b,e==KAe&&(g/=r.b);break;case 1:case 3:g=a.a,e==KAe&&(g/=r.a)}hct(l,Efe,g)}return hct(l,Xhe,d),l}function pGt(t){var e,n,i,r,a,o,s,c,u,h,f,d,g,p,b,w,y,m,v,x,k,_;if((n=Zv(TB(vTt(t.a.j,(HGt(),$pe)))))<-1||!t.a.i||OR(zz(vTt(t.a.o,nwe),98))||sdt(t.a.o,(kYt(),cMe)).gc()<2&&sdt(t.a.o,AMe).gc()<2)return!0;if(t.a.c.Rf())return!1;for(v=0,m=0,y=new Nw,c=0,u=(s=t.a.e).length;c<u;++c){for(d=0,p=(f=s[c]).length;d<p;++d)if((h=f[d]).k!=(cCt(),Mse)){for(i=t.b[h.c.p][h.p],h.k==Tse?(i.b=1,zz(vTt(h,(hKt(),pfe)),11).j==(kYt(),cMe)&&(m+=i.a)):(_=sdt(h,(kYt(),AMe))).dc()||!eO(_,new Na)?i.c=1:((r=sdt(h,cMe)).dc()||!eO(r,new Oa))&&(v+=i.a),o=new cU(JO(ddt(h).a.Kc(),new l));bLt(o);)a=zz(Y5(o),17),v+=i.c,m+=i.b,G7(t,i,a.d.i);for(k=new cU(new KO((b=Wnt(Ast(Zx(Bte,1),HKt,20,0,[sdt(h,(kYt(),uMe)),sdt(h,CMe)]))).a.length,b.a));bLt(k);)x=zz(Y5(k),11),(w=zz(vTt(x,(hKt(),_fe)),10))&&(v+=i.c,m+=i.b,G7(t,i,w))}else y.c[y.c.length]=h;for(g=new Kd(y);g.a<g.c.c.length;)for(h=zz(t0(g),10),i=t.b[h.c.p][h.p],o=new cU(JO(ddt(h).a.Kc(),new 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Kd(t.b);l.a<l.c.c.length;)(u=zz(t0(l),157)).c&&uUt(u.c),b=n.Math.max(b,iZ(u)),S+=iZ(u)*nZ(u);for(w=S/t.b.c.length,C=hkt(t.b,w),S+=t.b.c.length*C,b=n.Math.max(b,n.Math.sqrt(S*s))+i.b,I=i.b,L=i.d,g=0,f=i.b+i.c,Bq(T=new VE,rft(0)),_=new VE,h=new T2(t.b,0),p=null,c=new Nw;h.b<h.d.gc();)SP(h.b<h.d.gc()),M=iZ(u=zz(h.d.Xb(h.c=h.b++),157)),d=nZ(u),I+M>b&&(o&&(hI(_,g),hI(T,rft(h.b-1)),Kz(t.d,p),c.c=P7(Dte,HKt,1,0,5,1)),I=i.b,L+=g+e,g=0,f=n.Math.max(f,i.b+i.c+M)),c.c[c.c.length]=u,Cwt(u,I,L),f=n.Math.max(f,I+M+i.c),g=n.Math.max(g,d),I+=M+e,p=u;if(wst(t.a,c),Kz(t.d,zz(PH(c,c.c.length-1),157)),f=n.Math.max(f,r),(A=L+g+i.a)<a&&(g+=a-A,A=a),o)for(I=i.b,h=new T2(t.b,0),hI(T,rft(t.b.c.length)),m=zz(d3(E=lwt(T,0)),19).a,hI(_,g),k=lwt(_,0),x=0;h.b<h.d.gc();)h.b==m&&(I=i.b,x=Zv(TB(d3(k))),m=zz(d3(E),19).a),SP(h.b<h.d.gc()),Gpt(u=zz(h.d.Xb(h.c=h.b++),157),x),h.b==m&&(y=f-I-i.c,v=iZ(u),Ypt(u,y),zft(u,(y-v)/2,0)),I+=iZ(u)+e;return new PA(f,A)}function kGt(t){var e,n,i,r;switch(r=null,t.c){case 6:return t.Vl();case 13:return t.Wl();case 23:return t.Nl();case 22:return t.Sl();case 18:return t.Pl();case 8:VGt(t),pKt(),r=cNe;break;case 9:return t.vl(!0);case 19:return t.wl();case 10:switch(t.a){case 100:case 68:case 119:case 87:case 115:case 83:return r=t.ul(t.a),VGt(t),r;case 101:case 102:case 110:case 114:case 116:case 117:case 118:case 120:(e=t.tl())<qXt?(pKt(),pKt(),r=new cZ(0,e)):r=wU(Kft(e));break;case 99:return t.Fl();case 67:return t.Al();case 105:return t.Il();case 73:return t.Bl();case 103:return t.Gl();case 88:return t.Cl();case 49:case 50:case 51:case 52:case 53:case 54:case 55:case 56:case 57:return t.xl();case 80:case 112:if(!(r=FMt(t,t.a)))throw qw(new ox(kKt((sD(),L7t))));break;default:r=Xq(t.a)}VGt(t);break;case 0:if(93==t.a||123==t.a||125==t.a)throw qw(new ox(kKt((sD(),I7t))));r=Xq(t.a),n=t.a,VGt(t),(64512&n)==HXt&&0==t.c&&56320==(64512&t.a)&&((i=P7(INe,WWt,25,2,15,1))[0]=n&VWt,i[1]=t.a&VWt,r=cY(wU(qpt(i,0,i.length)),0),VGt(t));break;default:throw qw(new ox(kKt((sD(),I7t))))}return r}function _Gt(t,e,i){var r,a,o,s,c,u,l,h,f,d,g,p,b;if(r=new Nw,a=FKt,o=FKt,s=FKt,i)for(a=t.f.a,p=new Kd(e.j);p.a<p.c.c.length;)for(u=new Kd(zz(t0(p),11).g);u.a<u.c.c.length;)0!=(c=zz(t0(u),17)).a.b&&((h=zz(bP(c.a),8)).a<a&&(o=a-h.a,s=FKt,r.c=P7(Dte,HKt,1,0,5,1),a=h.a),h.a<=a&&(r.c[r.c.length]=c,c.a.b>1&&(s=n.Math.min(s,n.Math.abs(zz(Fwt(c.a,1),8).b-h.b)))));else for(p=new Kd(e.j);p.a<p.c.c.length;)for(u=new Kd(zz(t0(p),11).e);u.a<u.c.c.length;)0!=(c=zz(t0(u),17)).a.b&&((d=zz(wP(c.a),8)).a>a&&(o=d.a-a,s=FKt,r.c=P7(Dte,HKt,1,0,5,1),a=d.a),d.a>=a&&(r.c[r.c.length]=c,c.a.b>1&&(s=n.Math.min(s,n.Math.abs(zz(Fwt(c.a,c.a.b-2),8).b-d.b)))));if(0!=r.c.length&&o>e.o.a/2&&s>e.o.b/2){for(AJ(g=new MCt,e),ZAt(g,(kYt(),uMe)),g.n.a=e.o.a/2,AJ(b=new MCt,e),ZAt(b,CMe),b.n.a=e.o.a/2,b.n.b=e.o.b,u=new Kd(r);u.a<u.c.c.length;)c=zz(t0(u),17),i?(l=zz(pq(c.a),8),(0==c.a.b?b1(c.d):zz(bP(c.a),8)).b>=l.b?CJ(c,b):CJ(c,g)):(l=zz(bq(c.a),8),(0==c.a.b?b1(c.c):zz(wP(c.a),8)).b>=l.b?TJ(c,b):TJ(c,g)),(f=zz(vTt(c,(HGt(),ybe)),74))&&xgt(f,l,!0);e.n.a=a-e.o.a/2}}function EGt(t,e,n){var i,r,a,o,s,c,u,l,h,f,d;if(u=e,Oit(c=X3(t,O3(n),u),F2(u,Z6t)),l=zz(lnt(t.g,kMt(UQ(u,T6t))),33),i=null,(o=UQ(u,"sourcePort"))&&(i=kMt(o)),h=zz(lnt(t.j,i),118),!l)throw qw(new nx("An edge must have a source node (edge id: '"+Vpt(u)+W6t));if(h&&!gK(KQ(h),l))throw qw(new nx("The source port of an edge must be a port of the edge's source node (edge id: '"+F2(u,Z6t)+W6t));if(!c.b&&(c.b=new lR(RIe,c,4,7)),h8(c.b,h||l),f=zz(lnt(t.g,kMt(UQ(u,Q6t))),33),r=null,(s=UQ(u,"targetPort"))&&(r=kMt(s)),d=zz(lnt(t.j,r),118),!f)throw qw(new nx("An edge must have a target node (edge id: '"+Vpt(u)+W6t));if(d&&!gK(KQ(d),f))throw qw(new nx("The target port of an edge must be a port of the edge's target node (edge id: 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h=Mjt(qN(t,(kYt(),gMe)),e),g=svt(qN(t,pMe),e),v=svt(qN(t,_Me),e),E=cvt(qN(t,TMe),e),f=cvt(qN(t,lMe),e),y=svt(qN(t,kMe),e),p=svt(qN(t,bMe),e),k=svt(qN(t,EMe),e),x=svt(qN(t,hMe),e),T=cvt(qN(t,dMe),e),w=svt(qN(t,vMe),e),m=svt(qN(t,mMe),e),_=svt(qN(t,fMe),e),C=cvt(qN(t,xMe),e),d=cvt(qN(t,wMe),e),b=svt(qN(t,yMe),e),n=Nct(Ast(Zx(PNe,1),ZXt,25,15,[y.a,E.a,k.a,C.a])),i=Nct(Ast(Zx(PNe,1),ZXt,25,15,[g.a,h.a,v.a,b.a])),r=w.a,a=Nct(Ast(Zx(PNe,1),ZXt,25,15,[p.a,f.a,x.a,d.a])),u=Nct(Ast(Zx(PNe,1),ZXt,25,15,[y.b,g.b,p.b,m.b])),c=Nct(Ast(Zx(PNe,1),ZXt,25,15,[E.b,h.b,f.b,b.b])),l=T.b,s=Nct(Ast(Zx(PNe,1),ZXt,25,15,[k.b,v.b,x.b,_.b])),g8(qN(t,gMe),n+r,u+l),g8(qN(t,yMe),n+r,u+l),g8(qN(t,pMe),n+r,0),g8(qN(t,_Me),n+r,u+l+c),g8(qN(t,TMe),0,u+l),g8(qN(t,lMe),n+r+i,u+l),g8(qN(t,bMe),n+r+i,0),g8(qN(t,EMe),0,u+l+c),g8(qN(t,hMe),n+r+i,u+l+c),g8(qN(t,dMe),0,u),g8(qN(t,vMe),n,0),g8(qN(t,fMe),0,u+l+c),g8(qN(t,wMe),n+r+i,0),(o=new 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IGt(t,e){var n,i,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x,k,_,E,T,C,S;for(T=new VE,k=new VE,b=-1,c=new Kd(t);c.a<c.c.c.length;){for((o=zz(t0(c),128)).s=b--,l=0,m=0,a=new Kd(o.t);a.a<a.c.c.length;)m+=(i=zz(t0(a),268)).c;for(r=new Kd(o.i);r.a<r.c.c.length;)l+=(i=zz(t0(r),268)).c;o.n=l,o.u=m,0==m?r5(k,o,k.c.b,k.c):0==l&&r5(T,o,T.c.b,T.c)}for(S=C4(t),p=(h=t.c.length)+1,w=h-1,d=new Nw;0!=S.a.gc();){for(;0!=k.b;)SP(0!=k.b),x=zz(Det(k,k.a.a),128),S.a.Bc(x),x.s=w--,oOt(x,T,k);for(;0!=T.b;)SP(0!=T.b),_=zz(Det(T,T.a.a),128),S.a.Bc(_),_.s=p++,oOt(_,T,k);for(g=jWt,u=S.a.ec().Kc();u.Ob();)(y=(o=zz(u.Pb(),128)).u-o.n)>=g&&(y>g&&(d.c=P7(Dte,HKt,1,0,5,1),g=y),d.c[d.c.length]=o);0!=d.c.length&&(f=zz(PH(d,yyt(e,d.c.length)),128),S.a.Bc(f),f.s=p++,oOt(f,T,k),d.c=P7(Dte,HKt,1,0,5,1))}for(v=t.c.length+1,s=new Kd(t);s.a<s.c.c.length;)(o=zz(t0(s),128)).s<h&&(o.s+=v);for(E=new Kd(t);E.a<E.c.c.length;)for(n=new T2((_=zz(t0(E),128)).t,0);n.b<n.d.gc();)SP(n.b<n.d.gc()),C=(i=zz(n.d.Xb(n.c=n.b++),268)).b,_.s>C.s&&(hK(n),v9(C.i,i),i.c>0&&(i.a=C,Kz(C.t,i),i.b=_,Kz(_.i,i)))}function LGt(t){var e,n,i,r,a;switch(e=t.c){case 11:return t.Ml();case 12:return t.Ol();case 14:return t.Ql();case 15:return t.Tl();case 16:return t.Rl();case 17:return t.Ul();case 21:return VGt(t),pKt(),pKt(),uNe;case 10:switch(t.a){case 65:return t.yl();case 90:return t.Dl();case 122:return t.Kl();case 98:return t.El();case 66:return t.zl();case 60:return t.Jl();case 62:return t.Hl()}}switch(a=kGt(t),e=t.c){case 3:return t.Zl(a);case 4:return t.Xl(a);case 5:return t.Yl(a);case 0:if(123==t.a&&t.d<t.j){if(r=t.d,i=0,n=-1,!((e=hW(t.i,r++))>=48&&e<=57))throw qw(new ox(kKt((sD(),K7t))));for(i=e-48;r<t.j&&(e=hW(t.i,r++))>=48&&e<=57;)if((i=10*i+e-48)<0)throw qw(new ox(kKt((sD(),Q7t))));if(n=i,44==e){if(r>=t.j)throw qw(new 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MCt,pfe,a.c),ZAt(T,cMe),AJ(T,_),hct(a.c,_fe,_),hct(a.d,_fe,_),CJ(a,null),TJ(a,null),n.c[n.c.length]=_,hct(_,zhe,rft(2));for(v=lwt(e,0);v.b!=v.d.c;)u=(m=zz(d3(v),11)).e.c.length>0,b=m.g.c.length>0,u&&b?f.c[f.c.length]=m:u?g.c[g.c.length]=m:b&&(y.c[y.c.length]=m);for(d=new Kd(g);d.a<d.c.c.length;)Kz(r,Hzt(t,zz(t0(d),11),null,n));for(w=new Kd(y);w.a<w.c.c.length;)Kz(r,Hzt(t,null,zz(t0(w),11),n));for(h=new Kd(f);h.a<h.c.c.length;)Kz(r,Hzt(t,l=zz(t0(h),11),l,n))}function OGt(t){var e,i,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x,k,_;for(p=new PA(RXt,RXt),e=new PA($Xt,$Xt),x=new Kd(t);x.a<x.c.c.length;)v=zz(t0(x),8),p.a=n.Math.min(p.a,v.a),p.b=n.Math.min(p.b,v.b),e.a=n.Math.max(e.a,v.a),e.b=n.Math.max(e.b,v.b);for(u=new PA(e.a-p.a,e.b-p.b),l=new tzt(new PA(p.a-50,p.b-u.a-50),new PA(p.a-50,e.b+u.a+50),new PA(e.a+u.b/2+50,p.b+u.b/2)),m=new Fy,a=new Nw,i=new Nw,m.a.zc(l,m),_=new Kd(t);_.a<_.c.c.length;){for(k=zz(t0(_),8),a.c=P7(Dte,HKt,1,0,5,1),y=m.a.ec().Kc();y.Ob();)K7((b=zz(y.Pb(),308)).d,b.a),Idt(K7(b.d,k),K7(b.d,b.a))<0&&(a.c[a.c.length]=b);for(i.c=P7(Dte,HKt,1,0,5,1),w=new Kd(a);w.a<w.c.c.length;)for(d=new Kd((b=zz(t0(w),308)).e);d.a<d.c.c.length;){for(h=zz(t0(d),168),o=!0,c=new Kd(a);c.a<c.c.c.length;)(s=zz(t0(c),308))!=b&&(aW(h,PH(s.e,0))||aW(h,PH(s.e,1))||aW(h,PH(s.e,2)))&&(o=!1);o&&(i.c[i.c.length]=h)}for(uTt(m,a),n5(m,new ft),f=new Kd(i);f.a<f.c.c.length;)EY(m,new tzt(k,(h=zz(t0(f),168)).a,h.b))}for(n5(m,new kg(g=new Fy)),r=g.a.ec().Kc();r.Ob();)(R9(l,(h=zz(r.Pb(),168)).a)||R9(l,h.b))&&r.Qb();return n5(g,new dt),g}function NGt(t){var e,n,i;switch(n=zz(vTt(t,(hKt(),Jhe)),21),e=xL(Noe),zz(vTt(t,(HGt(),ube)),334)==(cht(),wAe)&&Jat(e,Poe),Hv(EB(vTt(t,sbe)))?pH(e,(xTt(),Foe),(dKt(),qce)):pH(e,(xTt(),$oe),(dKt(),qce)),null!=vTt(t,(A6(),ETe))&&Jat(e,Boe),(Hv(EB(vTt(t,bbe)))||Hv(EB(vTt(t,cbe))))&&KZ(e,(xTt(),zoe),(dKt(),nce)),zz(vTt(t,Ype),103).g){case 2:case 3:case 4:KZ(pH(e,(xTt(),Foe),(dKt(),rce)),zoe,ice)}switch(n.Hc((gBt(),lhe))&&KZ(pH(pH(e,(xTt(),Foe),(dKt(),ece)),joe,Jse),zoe,tce),ZM(vTt(t,Cbe))!==ZM((lNt(),Mye))&&pH(e,(xTt(),$oe),(dKt(),Nce)),n.Hc(whe)&&(pH(e,(xTt(),Foe),(dKt(),jce)),pH(e,Roe,Rce),pH(e,$oe,$ce)),ZM(vTt(t,Spe))!==ZM((JTt(),ahe))&&ZM(vTt(t,Jpe))!==ZM((Cdt(),VSe))&&KZ(e,(xTt(),zoe),(dKt(),wce)),Hv(EB(vTt(t,hbe)))&&pH(e,(xTt(),$oe),(dKt(),bce)),Hv(EB(vTt(t,qpe)))&&pH(e,(xTt(),$oe),(dKt(),Kce)),$Ot(t)&&(i=(ZM(vTt(t,ube))===ZM(wAe)?zz(vTt(t,Fpe),292):zz(vTt(t,Rpe),292))==($ot(),khe)?(dKt(),Fce):(dKt(),Vce),pH(e,(xTt(),joe),i)),zz(vTt(t,Uwe),377).g){case 1:pH(e,(xTt(),joe),(dKt(),Wce));break;case 2:KZ(pH(pH(e,(xTt(),$oe),(dKt(),Wse)),joe,Xse),zoe,Vse)}return ZM(vTt(t,Ope))!==ZM((vct(),Nye))&&pH(e,(xTt(),$oe),(dKt(),Xce)),e}function PGt(t){NT(t,new CEt(yk(gk(wk(bk(new bs,O4t),"ELK Rectangle Packing"),"Algorithm for packing of unconnected boxes, i.e. graphs without edges. The given order of the boxes is always preserved and the main reading direction of the boxes is left to right. The algorithm is divided into two phases. One phase approximates the width in which the rectangles can be placed. The next phase places the rectangles in rows using the previously calculated width as bounding width and bundles rectangles with a similar height in blocks. A compaction step reduces the size of the drawing. Finally, the rectangles are expanded to fill their bounding box and eliminate empty unused spaces."),new ts))),s2(t,O4t,XQt,1.3),s2(t,O4t,D4t,vwt(b_e)),s2(t,O4t,VQt,M_e),s2(t,O4t,mJt,15),s2(t,O4t,c3t,vwt(d_e)),s2(t,O4t,AJt,vwt(k_e)),s2(t,O4t,qJt,vwt(__e)),s2(t,O4t,SJt,vwt(E_e)),s2(t,O4t,MJt,vwt(x_e)),s2(t,O4t,CJt,vwt(T_e)),s2(t,O4t,IJt,vwt(I_e)),s2(t,O4t,E4t,vwt(S_e)),s2(t,O4t,T4t,vwt(v_e)),s2(t,O4t,A4t,vwt(C_e)),s2(t,O4t,M4t,vwt(L_e)),s2(t,O4t,I4t,vwt(w_e)),s2(t,O4t,_Jt,vwt(y_e)),s2(t,O4t,v3t,vwt(m_e)),s2(t,O4t,S4t,vwt(p_e)),s2(t,O4t,C4t,vwt(g_e)),s2(t,O4t,L4t,vwt(O_e))}function BGt(t,e,n){var i,r,a,o,s,c,u,l,h,f,d,g,p;if(null==n)return null;if(t.a!=e.Aj())throw qw(new $v(b6t+e.ne()+w6t));if(aO(e,457)){if(!(p=SBt(zz(e,671),n)))throw qw(new $v(y6t+n+"' is not a valid enumerator of '"+e.ne()+"'"));return p}switch(Mht((ISt(),JDe),e).cl()){case 2:n=zzt(n,!1);break;case 3:n=zzt(n,!0)}if(i=Mht(JDe,e).$k())return i.Aj().Nh().Kh(i,n);if(h=Mht(JDe,e).al()){for(p=new Nw,u=0,l=(c=xut(n)).length;u<l;++u)s=c[u],Kz(p,h.Aj().Nh().Kh(h,s));return p}if(!(g=Mht(JDe,e).bl()).dc()){for(d=g.Kc();d.Ob();){f=zz(d.Pb(),148);try{if(null!=(p=f.Aj().Nh().Kh(f,n)))return p}catch(t){if(!aO(t=dst(t),60))throw qw(t)}}throw qw(new $v(y6t+n+"' does not match any member types of the union datatype '"+e.ne()+"'"))}if(zz(e,834).Fj(),!(r=Bht(e.Bj())))return null;if(r==See){a=0;try{a=d$t(n,jWt,FKt)&VWt}catch(t){if(!aO(t=dst(t),127))throw qw(t);a=W9(n)[0]}return fst(a)}if(r==vee){for(o=0;o<MIe.length;++o)try{return zT(MIe[o],n)}catch(t){if(!aO(t=dst(t),32))throw qw(t)}throw qw(new $v(y6t+n+"' is not a date formatted string of the form yyyy-MM-dd'T'HH:mm:ss'.'SSSZ or a valid subset thereof"))}throw qw(new $v(y6t+n+"' is invalid. "))}function FGt(t,e){var n,i,r,a,o,s,c,u;if(n=0,o=0,a=e.length,s=null,u=new Mx,o<a&&(d1(o,e.length),43==e.charCodeAt(o))&&(++n,++o<a&&(d1(o,e.length),43==e.charCodeAt(o)||(d1(o,e.length),45==e.charCodeAt(o)))))throw qw(new Tx(FXt+e+'"'));for(;o<a&&(d1(o,e.length),46!=e.charCodeAt(o))&&(d1(o,e.length),101!=e.charCodeAt(o))&&(d1(o,e.length),69!=e.charCodeAt(o));)++o;if(u.a+=""+hP(null==e?YKt:(xK(e),e),n,o),o<a&&(d1(o,e.length),46==e.charCodeAt(o))){for(n=++o;o<a&&(d1(o,e.length),101!=e.charCodeAt(o))&&(d1(o,e.length),69!=e.charCodeAt(o));)++o;t.e=o-n,u.a+=""+hP(null==e?YKt:(xK(e),e),n,o)}else t.e=0;if(o<a&&(d1(o,e.length),101==e.charCodeAt(o)||(d1(o,e.length),69==e.charCodeAt(o)))&&(n=++o,o<a&&(d1(o,e.length),43==e.charCodeAt(o))&&++o<a&&(d1(o,e.length),45!=e.charCodeAt(o))&&++n,s=e.substr(n,a-n),t.e=t.e-d$t(s,jWt,FKt),t.e!=AQ(t.e)))throw qw(new Tx("Scale out of range."));if((c=u.a).length<16){if(t.f=(null==Xee&&(Xee=new RegExp("^[+-]?\\d*$","i")),Xee.test(c)?parseInt(c,10):NaN),isNaN(t.f))throw qw(new Tx(FXt+e+'"'));t.a=sMt(t.f)}else fpt(t,new DL(c));for(t.d=u.a.length,r=0;r<u.a.length&&(45==(i=hW(u.a,r))||48==i);++r)--t.d;0==t.d&&(t.d=1)}function RGt(){RGt=I,JMt(hse=new wQ,(kYt(),gMe),yMe),JMt(hse,TMe,yMe),JMt(hse,TMe,xMe),JMt(hse,lMe,wMe),JMt(hse,lMe,yMe),JMt(hse,pMe,yMe),JMt(hse,pMe,mMe),JMt(hse,_Me,fMe),JMt(hse,_Me,yMe),JMt(hse,vMe,dMe),JMt(hse,vMe,yMe),JMt(hse,vMe,mMe),JMt(hse,vMe,fMe),JMt(hse,dMe,vMe),JMt(hse,dMe,xMe),JMt(hse,dMe,wMe),JMt(hse,dMe,yMe),JMt(hse,kMe,kMe),JMt(hse,kMe,mMe),JMt(hse,kMe,xMe),JMt(hse,bMe,bMe),JMt(hse,bMe,mMe),JMt(hse,bMe,wMe),JMt(hse,EMe,EMe),JMt(hse,EMe,fMe),JMt(hse,EMe,xMe),JMt(hse,hMe,hMe),JMt(hse,hMe,fMe),JMt(hse,hMe,wMe),JMt(hse,mMe,pMe),JMt(hse,mMe,vMe),JMt(hse,mMe,kMe),JMt(hse,mMe,bMe),JMt(hse,mMe,yMe),JMt(hse,mMe,mMe),JMt(hse,mMe,xMe),JMt(hse,mMe,wMe),JMt(hse,fMe,_Me),JMt(hse,fMe,vMe),JMt(hse,fMe,EMe),JMt(hse,fMe,hMe),JMt(hse,fMe,fMe),JMt(hse,fMe,xMe),JMt(hse,fMe,wMe),JMt(hse,fMe,yMe),JMt(hse,xMe,TMe),JMt(hse,xMe,dMe),JMt(hse,xMe,kMe),JMt(hse,xMe,EMe),JMt(hse,xMe,mMe),JMt(hse,xMe,fMe),JMt(hse,xMe,xMe),JMt(hse,xMe,yMe),JMt(hse,wMe,lMe),JMt(hse,wMe,dMe),JMt(hse,wMe,bMe),JMt(hse,wMe,hMe),JMt(hse,wMe,mMe),JMt(hse,wMe,fMe),JMt(hse,wMe,wMe),JMt(hse,wMe,yMe),JMt(hse,yMe,gMe),JMt(hse,yMe,TMe),JMt(hse,yMe,lMe),JMt(hse,yMe,pMe),JMt(hse,yMe,_Me),JMt(hse,yMe,vMe),JMt(hse,yMe,dMe),JMt(hse,yMe,mMe),JMt(hse,yMe,fMe),JMt(hse,yMe,xMe),JMt(hse,yMe,wMe),JMt(hse,yMe,yMe)}function $Gt(t,e,i){var r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x,k,_,E;for(t.d=new PA(RXt,RXt),t.c=new PA($Xt,$Xt),f=e.Kc();f.Ob();)for(m=new Kd(zz(f.Pb(),37).a);m.a<m.c.c.length;)y=zz(t0(m),10),t.d.a=n.Math.min(t.d.a,y.n.a-y.d.b),t.d.b=n.Math.min(t.d.b,y.n.b-y.d.d),t.c.a=n.Math.max(t.c.a,y.n.a+y.o.a+y.d.c),t.c.b=n.Math.max(t.c.b,y.n.b+y.o.b+y.d.a);for(c=new Vy,h=e.Kc();h.Ob();)r=cGt(t,zz(h.Pb(),37)),Kz(c.a,r),r.a=r.a|!zz(vTt(r.c,(hKt(),Ghe)),21).dc();for(t.b=(Slt(),(E=new ve).f=new mit(i),E.b=uZt(E.f,c),E),_Zt((g=t.b,new Gm,g)),t.e=new Zk,t.a=t.b.f.e,s=new Kd(c.a);s.a<s.c.c.length;)for(a=zz(t0(s),841),v=LQ(t.b,a),eRt(a.c,v.a,v.b),b=new Kd(a.c.a);b.a<b.c.c.length;)(p=zz(t0(b),10)).k==(cCt(),Tse)&&(w=dOt(t,p.n,zz(vTt(p,(hKt(),Xhe)),61)),YF(xI(p.n),w));for(o=new Kd(c.a);o.a<o.c.c.length;)for(l=new Kd(pft(a=zz(t0(o),841)));l.a<l.c.c.length;)for(RP(_=new Rk((u=zz(t0(l),17)).a),0,b1(u.c)),Bq(_,b1(u.d)),d=null,k=lwt(_,0);k.b!=k.d.c;)x=zz(d3(k),8),d?(cnt(d.a,x.a)?(t.e.a=n.Math.min(t.e.a,d.a),t.a.a=n.Math.max(t.a.a,d.a)):cnt(d.b,x.b)&&(t.e.b=n.Math.min(t.e.b,d.b),t.a.b=n.Math.max(t.a.b,d.b)),d=x):d=x;HP(t.e),YF(t.a,t.e)}function jGt(t){XDt(t.b,X8t,Ast(Zx(Vee,1),lWt,2,6,[Q8t,"ConsistentTransient"])),XDt(t.a,X8t,Ast(Zx(Vee,1),lWt,2,6,[Q8t,"WellFormedSourceURI"])),XDt(t.o,X8t,Ast(Zx(Vee,1),lWt,2,6,[Q8t,"InterfaceIsAbstract AtMostOneID UniqueFeatureNames UniqueOperationSignatures NoCircularSuperTypes WellFormedMapEntryClass ConsistentSuperTypes DisjointFeatureAndOperationSignatures"])),XDt(t.p,X8t,Ast(Zx(Vee,1),lWt,2,6,[Q8t,"WellFormedInstanceTypeName UniqueTypeParameterNames"])),XDt(t.v,X8t,Ast(Zx(Vee,1),lWt,2,6,[Q8t,"UniqueEnumeratorNames UniqueEnumeratorLiterals"])),XDt(t.R,X8t,Ast(Zx(Vee,1),lWt,2,6,[Q8t,"WellFormedName"])),XDt(t.T,X8t,Ast(Zx(Vee,1),lWt,2,6,[Q8t,"UniqueParameterNames UniqueTypeParameterNames NoRepeatingVoid"])),XDt(t.U,X8t,Ast(Zx(Vee,1),lWt,2,6,[Q8t,"WellFormedNsURI WellFormedNsPrefix UniqueSubpackageNames UniqueClassifierNames UniqueNsURIs"])),XDt(t.W,X8t,Ast(Zx(Vee,1),lWt,2,6,[Q8t,"ConsistentOpposite SingleContainer ConsistentKeys ConsistentUnique ConsistentContainer"])),XDt(t.bb,X8t,Ast(Zx(Vee,1),lWt,2,6,[Q8t,"ValidDefaultValueLiteral"])),XDt(t.eb,X8t,Ast(Zx(Vee,1),lWt,2,6,[Q8t,"ValidLowerBound ValidUpperBound ConsistentBounds ValidType"])),XDt(t.H,X8t,Ast(Zx(Vee,1),lWt,2,6,[Q8t,"ConsistentType ConsistentBounds ConsistentArguments"]))}function zGt(t,e,n){var i,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x;if(!e.dc()){if(r=new xm,h=(o=n||zz(e.Xb(0),17)).c,wPt(),(u=h.i.k)!=(cCt(),Ase)&&u!=Mse&&u!=Tse&&u!=Ese)throw qw(new $v("The target node of the edge must be a normal node or a northSouthPort."));for(hI(r,Dct(Ast(Zx(STe,1),lWt,8,0,[h.i.n,h.n,h.a]))),(kYt(),vMe).Hc(h.j)&&(d=Zv(TB(vTt(h,(hKt(),Ofe)))),r5(r,new PA(Dct(Ast(Zx(STe,1),lWt,8,0,[h.i.n,h.n,h.a])).a,d),r.c.b,r.c)),c=null,i=!1,s=e.Kc();s.Ob();)0!=(a=zz(s.Pb(),17).a).b&&(i?(r5(r,xO(YF(c,(SP(0!=a.b),zz(a.a.a.c,8))),.5),r.c.b,r.c),i=!1):i=!0,c=zD((SP(0!=a.b),zz(a.c.b.c,8))),zrt(r,a),vX(a));f=o.d,vMe.Hc(f.j)&&(d=Zv(TB(vTt(f,(hKt(),Ofe)))),r5(r,new PA(Dct(Ast(Zx(STe,1),lWt,8,0,[f.i.n,f.n,f.a])).a,d),r.c.b,r.c)),hI(r,Dct(Ast(Zx(STe,1),lWt,8,0,[f.i.n,f.n,f.a]))),t.d==(Gut(),nme)&&(SP(0!=r.b),g=zz(r.a.a.c,8),p=zz(Fwt(r,1),8),(b=new GJ(hut(h.j))).a*=5,b.b*=5,w=GF(new PA(p.a,p.b),g),YF(y=new PA(iJ(b.a,w.a),iJ(b.b,w.b)),g),tG(lwt(r,1),y),SP(0!=r.b),m=zz(r.c.b.c,8),v=zz(Fwt(r,r.b-2),8),(b=new GJ(hut(f.j))).a*=5,b.b*=5,w=GF(new PA(v.a,v.b),m),YF(x=new PA(iJ(b.a,w.a),iJ(b.b,w.b)),m),RP(r,r.b-1,x)),l=new uzt(r),zrt(o.a,zyt(l))}}function qGt(t,e,i,r){var a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x,k,_,E,T,C,S,A,M,I,L,D,O,N,P;if(v=(y=zz(Wet((!t.b&&(t.b=new lR(RIe,t,4,7)),t.b),0),82)).Dg(),x=y.Eg(),m=y.Cg()/2,g=y.Bg()/2,aO(y,186)&&(v+=KQ(w=zz(y,118)).i,v+=KQ(w).i),v+=m,x+=g,A=(C=zz(Wet((!t.b&&(t.b=new lR(RIe,t,4,7)),t.b),0),82)).Dg(),M=C.Eg(),S=C.Cg()/2,k=C.Bg()/2,aO(C,186)&&(A+=KQ(T=zz(C,118)).i,A+=KQ(T).i),A+=S,M+=k,0==(!t.a&&(t.a=new nY(jIe,t,6,6)),t.a).i)e_(),c=new oc,h8((!t.a&&(t.a=new nY(jIe,t,6,6)),t.a),c);else if((!t.a&&(t.a=new nY(jIe,t,6,6)),t.a).i>1)for(d=new aP((!t.a&&(t.a=new nY(jIe,t,6,6)),t.a));d.e!=d.i.gc();)Vkt(d);for(p=A,A>v+m?p=v+m:A<v-m&&(p=v-m),b=M,M>x+g?b=x+g:M<x-g&&(b=x-g),p>v-m&&p<v+m&&b>x-g&&b<x+g&&(p=v+m),Int(s=zz(Wet((!t.a&&(t.a=new nY(jIe,t,6,6)),t.a),0),202),p),Dnt(s,b),_=v,v>A+S?_=A+S:v<A-S&&(_=A-S),E=x,x>M+k?E=M+k:x<M-k&&(E=M-k),_>A-S&&_<A+S&&E>M-k&&E<M+k&&(E=M+k),Tnt(s,_),Lnt(s,E),lHt((!s.a&&(s.a=new DO(PIe,s,5)),s.a)),o=yyt(e,5),y==C&&++o,L=_-p,N=E-b,l=.20000000298023224*n.Math.sqrt(L*L+N*N),D=L/(o+1),P=N/(o+1),I=p,O=b,u=0;u<o;u++)O+=P,(h=(I+=D)+HDt(e,24)*cVt*l-l/2)<0?h=1:h>i&&(h=i-1),(f=O+HDt(e,24)*cVt*l-l/2)<0?f=1:f>r&&(f=r-1),e_(),_nt(a=new ac,h),Ent(a,f),h8((!s.a&&(s.a=new DO(PIe,s,5)),s.a),a)}function HGt(){HGt=I,lKt(),wwe=kSe,ywe=_Se,mwe=ESe,vwe=TSe,kwe=CSe,_we=SSe,Cwe=MSe,Awe=LSe,Mwe=DSe,Swe=ISe,Iwe=OSe,Dwe=NSe,Nwe=FSe,Twe=ASe,fKt(),bwe=$ge,xwe=jge,Ewe=zge,Lwe=qge,lwe=new GL(wSe,rft(0)),hwe=Bge,fwe=Fge,dwe=Rge,Uwe=fpe,Fwe=Uge,Rwe=Kge,zwe=npe,$we=Vge,jwe=Jge,Gwe=wpe,Ywe=gpe,Hwe=cpe,qwe=ope,Zwe=lpe,Fbe=Sge,Rbe=Age,rbe=Rde,abe=zde,Ybe=new KL(12),Ube=new GL(GCe,Ybe),Cdt(),Jpe=new GL(yCe,tbe=XSe),ewe=new GL(oSe,0),gwe=new GL(ySe,rft(1)),_pe=new GL(aCe,bJt),Zbe=UCe,nwe=sSe,swe=gSe,Upe=fCe,xpe=iCe,ube=_Ce,pwe=new GL(xSe,(lN(),!0)),gbe=CCe,pbe=SCe,jbe=RCe,Hbe=HCe,zbe=jCe,zht(),Ype=new GL(dCe,Kpe=zSe),Dbe=BCe,Lbe=NCe,awe=hSe,rwe=lSe,owe=dSe,owt(),new GL(JCe,Wbe=HAe),Vbe=nSe,Qbe=iSe,Jbe=rSe,Xbe=eSe,Bwe=Zge,Sbe=fge,Cbe=lge,Pwe=Hge,xbe=nge,Zpe=Ede,Hpe=kde,Ppe=sde,Bpe=cde,Rpe=dde,Fpe=ude,qpe=vde,Mbe=gge,Ibe=pge,wbe=Wde,$be=Dge,Nbe=mge,sbe=Zde,Bbe=Tge,nbe=Nde,ibe=Bde,Npe=lCe,Obe=bge,Spe=Xfe,Cpe=Kfe,Tpe=Gfe,hbe=Gde,lbe=Yde,fbe=Kde,qbe=zCe,ybe=ICe,obe=vCe,Vpe=bCe,Xpe=pCe,$pe=bde,iwe=uSe,Epe=uCe,dbe=TCe,twe=aSe,Gbe=WCe,Kbe=VCe,_be=age,Ebe=sge,uwe=bSe,kpe=Yfe,Tbe=uge,Qpe=Ide,Wpe=Ade,Abe=DCe,mbe=Jde,Pbe=kge,Owe=PSe,Gpe=Cde,cwe=Nge,ebe=Dde,vbe=ege,jpe=yde,bbe=MCe,kbe=rge,zpe=mde,Ope=ade,Lpe=nde,Mpe=tde,Ipe=ede,Dpe=rde,Ape=Qfe,cbe=Ude}function ZGt(t,e){var n,i,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x,k,_,E,T,C,S,A;if(cqt(),E=t.e,g=t.d,r=t.a,0==E)switch(e){case 0:return"0";case 1:return WXt;case 2:return"0.00";case 3:return"0.000";case 4:return"0.0000";case 5:return"0.00000";case 6:return"0.000000";default:return(k=new Ax).a+=e<0?"0E+":"0E",k.a+=-e,k.a}if(v=P7(INe,WWt,25,1+(m=10*g+1+7),15,1),n=m,1==g)if((s=r[0])<0){A=n0(s,GXt);do{p=A,A=Lkt(A,10),v[--n]=48+pZ(rdt(p,odt(A,10)))&VWt}while(0!=Xlt(A,0))}else{A=s;do{p=A,A=A/10|0,v[--n]=p-10*A+48&VWt}while(0!=A)}else{sqt(r,0,C=P7(LNe,hXt,25,g,15,1),0,S=g);t:for(;;){for(_=0,u=S-1;u>=0;u--)w=fEt(adt(vU(_,32),n0(C[u],GXt))),C[u]=pZ(w),_=pZ(xU(w,32));y=pZ(_),b=n;do{v[--n]=48+y%10&VWt}while(0!=(y=y/10|0)&&0!=n);for(i=9-b+n,c=0;c<i&&n>0;c++)v[--n]=48;for(h=S-1;0==C[h];h--)if(0==h)break t;S=h+1}for(;48==v[n];)++n}if(d=E<0,o=m-n-e-1,0==e)return d&&(v[--n]=45),qpt(v,n,m-n);if(e>0&&o>=-6){if(o>=0){for(l=n+o,f=m-1;f>=l;f--)v[f+1]=v[f];return v[++l]=46,d&&(v[--n]=45),qpt(v,n,m-n+1)}for(h=2;h<1-o;h++)v[--n]=48;return v[--n]=46,v[--n]=48,d&&(v[--n]=45),qpt(v,n,m-n)}return T=n+1,a=m,x=new Mx,d&&(x.a+="-"),a-T>=1?(PG(x,v[n]),x.a+=".",x.a+=qpt(v,n+1,m-n-1)):x.a+=qpt(v,n,m-n),x.a+="E",o>0&&(x.a+="+"),x.a+=""+o,x.a}function UGt(t,e){var i,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x;switch(t.c=e,t.g=new Pw,ZT(),ngt(new Sg(new Bv(t.c))),y=CB(tDt(t.c,(CTt(),pEe))),s=zz(tDt(t.c,wEe),316),v=zz(tDt(t.c,yEe),429),a=zz(tDt(t.c,lEe),482),m=zz(tDt(t.c,bEe),430),t.j=Zv(TB(tDt(t.c,mEe))),o=t.a,s.g){case 0:o=t.a;break;case 1:o=t.b;break;case 2:o=t.i;break;case 3:o=t.e;break;case 4:o=t.f;break;default:throw qw(new $v(P4t+(null!=s.f?s.f:""+s.g)))}if(t.d=new BQ(o,v,a),hct(t.d,(Kat(),Xre),EB(tDt(t.c,fEe))),t.d.c=Hv(EB(tDt(t.c,hEe))),0==VX(t.c).i)return t.d;for(l=new LO(VX(t.c));l.e!=l.i.gc();){for(f=(u=zz(kwt(l),33)).g/2,h=u.f/2,x=new PA(u.i+f,u.j+h);lY(t.g,x);)$P(x,(n.Math.random()-.5)*dJt,(n.Math.random()-.5)*dJt);g=zz(tDt(u,(lKt(),DCe)),142),p=new LJ(x,new YW(x.a-f-t.j/2-g.b,x.b-h-t.j/2-g.d,u.g+t.j+(g.b+g.c),u.f+t.j+(g.d+g.a))),Kz(t.d.i,p),WK(t.g,x,new rM(p,u))}switch(m.g){case 0:if(null==y)t.d.d=zz(PH(t.d.i,0),65);else for(w=new 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n,i,r,a,o,s,c,u,l,h,f,d,g,p,b,w;for(i=new Nw,s=new Nw,b=e/2,d=t.gc(),r=zz(t.Xb(0),8),w=zz(t.Xb(1),8),Kz(i,(f1(0,(g=VLt(r.a,r.b,w.a,w.b,b)).c.length),zz(g.c[0],8))),Kz(s,(f1(1,g.c.length),zz(g.c[1],8))),u=2;u<d;u++)p=r,r=w,w=zz(t.Xb(u),8),Kz(i,(f1(1,(g=VLt(r.a,r.b,p.a,p.b,b)).c.length),zz(g.c[1],8))),Kz(s,(f1(0,g.c.length),zz(g.c[0],8))),Kz(i,(f1(0,(g=VLt(r.a,r.b,w.a,w.b,b)).c.length),zz(g.c[0],8))),Kz(s,(f1(1,g.c.length),zz(g.c[1],8)));for(Kz(i,(f1(1,(g=VLt(w.a,w.b,r.a,r.b,b)).c.length),zz(g.c[1],8))),Kz(s,(f1(0,g.c.length),zz(g.c[0],8))),n=new xm,o=new Nw,Bq(n,(f1(0,i.c.length),zz(i.c[0],8))),l=1;l<i.c.length-2;l+=2)f1(l,i.c.length),a=zz(i.c[l],8),f=ZSt((f1(l-1,i.c.length),zz(i.c[l-1],8)),a,(f1(l+1,i.c.length),zz(i.c[l+1],8)),(f1(l+2,i.c.length),zz(i.c[l+2],8))),isFinite(f.a)&&isFinite(f.b)?r5(n,f,n.c.b,n.c):r5(n,a,n.c.b,n.c);for(Bq(n,zz(PH(i,i.c.length-1),8)),Kz(o,(f1(0,s.c.length),zz(s.c[0],8))),h=1;h<s.c.length-2;h+=2)f1(h,s.c.length),a=zz(s.c[h],8),f=ZSt((f1(h-1,s.c.length),zz(s.c[h-1],8)),a,(f1(h+1,s.c.length),zz(s.c[h+1],8)),(f1(h+2,s.c.length),zz(s.c[h+2],8))),isFinite(f.a)&&isFinite(f.b)?o.c[o.c.length]=f:o.c[o.c.length]=a;for(Kz(o,zz(PH(s,s.c.length-1),8)),c=o.c.length-1;c>=0;c--)Bq(n,(f1(c,o.c.length),zz(o.c[c],8)));return n}function WGt(t){var e,n,i,r,a,o,s,c,u,l,h,f,d;if(o=!0,h=null,i=null,r=null,e=!1,d=xLe,u=null,a=null,(c=Xbt(t,s=0,LLe,DLe))<t.length&&(d1(c,t.length),58==t.charCodeAt(c))&&(h=t.substr(s,c-s),s=c+1),n=null!=h&&PE(kLe,h.toLowerCase())){if(-1==(c=t.lastIndexOf("!/")))throw qw(new $v("no archive 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aFt(o,h,i,r,e,d,u,a)}function XGt(t,e){var i,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x,k,_,E,T,C,S,A,M,I,L,D;for(I=new Nw,g=new Kd(e.b);g.a<g.c.c.length;)for(x=new Kd(zz(t0(g),29).a);x.a<x.c.c.length;){for((v=zz(t0(x),10)).p=-1,f=jWt,E=jWt,C=new Kd(v.j);C.a<C.c.c.length;){for(a=new Kd((T=zz(t0(C),11)).e);a.a<a.c.c.length;)i=zz(t0(a),17),S=zz(vTt(i,(HGt(),dwe)),19).a,f=n.Math.max(f,S);for(r=new Kd(T.g);r.a<r.c.c.length;)i=zz(t0(r),17),S=zz(vTt(i,(HGt(),dwe)),19).a,E=n.Math.max(E,S)}hct(v,Gme,rft(f)),hct(v,Kme,rft(E))}for(w=0,d=new Kd(e.b);d.a<d.c.c.length;)for(x=new Kd(zz(t0(d),29).a);x.a<x.c.c.length;)(v=zz(t0(x),10)).p<0&&((M=new rm).b=w++,_Ft(t,v,M),I.c[I.c.length]=M);for(_=uP(I.c.length),h=uP(I.c.length),s=0;s<I.c.length;s++)Kz(_,new Nw),Kz(h,rft(0));for(mUt(e,I,_,h),L=zz(Vbt(I,P7(Vme,L3t,257,I.c.length,0,1)),840),k=zz(Vbt(_,P7(Rte,eJt,15,_.c.length,0,1)),192),l=P7(LNe,hXt,25,h.c.length,15,1),c=0;c<l.length;c++)l[c]=(f1(c,h.c.length),zz(h.c[c],19)).a;for(y=0,m=new Nw,u=0;u<L.length;u++)0==l[u]&&Kz(m,L[u]);for(b=P7(LNe,hXt,25,L.length,15,1);0!=m.c.length;)for(b[(M=zz(u6(m,0),257)).b]=y++;!k[M.b].dc();)--l[(D=zz(k[M.b].$c(0),257)).b],0==l[D.b]&&(m.c[m.c.length]=D);for(t.a=P7(Vme,L3t,257,L.length,0,1),o=0;o<L.length;o++)for(p=L[o],A=b[o],t.a[A]=p,p.b=A,x=new Kd(p.e);x.a<x.c.c.length;)(v=zz(t0(x),10)).p=A;return t.a}function VGt(t){var e,n,i;if(t.d>=t.j)return t.a=-1,void(t.c=1);if(e=hW(t.i,t.d++),t.a=e,1!=t.b){switch(e){case 124:i=2;break;case 42:i=3;break;case 43:i=4;break;case 63:i=5;break;case 41:i=7;break;case 46:i=8;break;case 91:i=9;break;case 94:i=11;break;case 36:i=12;break;case 40:if(i=6,t.d>=t.j)break;if(63!=hW(t.i,t.d))break;if(++t.d>=t.j)throw qw(new ox(kKt((sD(),y7t))));switch(e=hW(t.i,t.d++)){case 58:i=13;break;case 61:i=14;break;case 33:i=15;break;case 91:i=19;break;case 62:i=18;break;case 60:if(t.d>=t.j)throw qw(new ox(kKt((sD(),y7t))));if(61==(e=hW(t.i,t.d++)))i=16;else{if(33!=e)throw qw(new ox(kKt((sD(),m7t))));i=17}break;case 35:for(;t.d<t.j&&41!=(e=hW(t.i,t.d++)););if(41!=e)throw qw(new ox(kKt((sD(),v7t))));i=21;break;default:if(45==e||97<=e&&e<=122||65<=e&&e<=90){--t.d,i=22;break}if(40==e){i=23;break}throw qw(new ox(kKt((sD(),y7t))))}break;case 92:if(i=10,t.d>=t.j)throw qw(new ox(kKt((sD(),w7t))));t.a=hW(t.i,t.d++);break;default:i=0}t.c=i}else{switch(e){case 92:if(i=10,t.d>=t.j)throw qw(new ox(kKt((sD(),w7t))));t.a=hW(t.i,t.d++);break;case 45:512==(512&t.e)&&t.d<t.j&&91==hW(t.i,t.d)?(++t.d,i=24):i=0;break;case 91:if(512!=(512&t.e)&&t.d<t.j&&58==hW(t.i,t.d)){++t.d,i=20;break}default:(64512&e)==HXt&&t.d<t.j&&56320==(64512&(n=hW(t.i,t.d)))&&(t.a=qXt+(e-HXt<<10)+n-56320,++t.d),i=0}t.c=i}}function QGt(t){var e,n,i,r,a,o,s,c,u,h,f,d,g,p,b,w,y,m,v,x,k,_,E,T,C,S;if((k=zz(vTt(t,(HGt(),nwe)),98))!=(V_t(),XAe)&&k!=VAe){for(u=new Q6((dit((d=(g=t.b).c.length)+2,PWt),eet(adt(adt(5,d+2),(d+2)/10|0)))),p=new Q6((dit(d+2,PWt),eet(adt(adt(5,d+2),(d+2)/10|0)))),Kz(u,new Pw),Kz(u,new Pw),Kz(p,new Nw),Kz(p,new Nw),x=new Nw,e=0;e<d;e++)for(f1(e,g.c.length),n=zz(g.c[e],29),f1(e,u.c.length),_=zz(u.c[e],83),b=new Pw,u.c[u.c.length]=b,f1(e,p.c.length),T=zz(p.c[e],15),y=new Nw,p.c[p.c.length]=y,r=new Kd(n.a);r.a<r.c.c.length;)if(oft(i=zz(t0(r),10)))x.c[x.c.length]=i;else{for(c=new cU(JO(fdt(i).a.Kc(),new l));bLt(c);)oft(C=(o=zz(Y5(c),17)).c.i)&&((E=zz(_.xc(vTt(C,(hKt(),pfe))),10))||(E=uMt(t,C),_.zc(vTt(C,pfe),E),T.Fc(E)),CJ(o,zz(PH(E.j,1),11)));for(s=new cU(JO(ddt(i).a.Kc(),new l));bLt(s);)oft(S=(o=zz(Y5(s),17)).d.i)&&((w=zz(FG(b,vTt(S,(hKt(),pfe))),10))||(w=uMt(t,S),WK(b,vTt(S,pfe),w),y.c[y.c.length]=w),TJ(o,zz(PH(w.j,0),11)))}for(h=0;h<p.c.length;h++)if(f1(h,p.c.length),!(m=zz(p.c[h],15)).dc())for(f=null,0==h?(f=new qG(t),OJ(0,g.c.length),TC(g.c,0,f)):h==u.c.length-1?(f=new qG(t),g.c[g.c.length]=f):(f1(h-1,g.c.length),f=zz(g.c[h-1],29)),a=m.Kc();a.Ob();)SJ(zz(a.Pb(),10),f);for(v=new Kd(x);v.a<v.c.c.length;)SJ(zz(t0(v),10),null);hct(t,(hKt(),Khe),x)}}function JGt(t,e,n){var i,r,a,o,s,c,u,h,f,d,g,p,b,w,y,m,v,x,k;if(LEt(n,"Coffman-Graham Layering",1),0!=e.a.c.length){for(k=zz(vTt(e,(HGt(),mbe)),19).a,c=0,o=0,d=new Kd(e.a);d.a<d.c.c.length;)for((f=zz(t0(d),10)).p=c++,a=new cU(JO(ddt(f).a.Kc(),new l));bLt(a);)(r=zz(Y5(a),17)).p=o++;for(t.d=P7(DNe,tQt,25,c,16,1),t.a=P7(DNe,tQt,25,o,16,1),t.b=P7(LNe,hXt,25,c,15,1),t.e=P7(LNe,hXt,25,c,15,1),t.f=P7(LNe,hXt,25,c,15,1),pit(t.c),a_t(t,e),p=new GU(new Bp(t)),x=new Kd(e.a);x.a<x.c.c.length;){for(a=new cU(JO(fdt(m=zz(t0(x),10)).a.Kc(),new l));bLt(a);)r=zz(Y5(a),17),t.a[r.p]||++t.b[m.p];0==t.b[m.p]&&j7(iTt(p,m))}for(s=0;0!=p.b.c.length;)for(m=zz(mtt(p),10),t.f[m.p]=s++,a=new cU(JO(ddt(m).a.Kc(),new l));bLt(a);)r=zz(Y5(a),17),t.a[r.p]||(w=r.d.i,--t.b[w.p],JMt(t.c,w,rft(t.f[m.p])),0==t.b[w.p]&&j7(iTt(p,w)));for(g=new GU(new Fp(t)),v=new Kd(e.a);v.a<v.c.c.length;){for(a=new cU(JO(ddt(m=zz(t0(v),10)).a.Kc(),new l));bLt(a);)r=zz(Y5(a),17),t.a[r.p]||++t.e[m.p];0==t.e[m.p]&&j7(iTt(g,m))}for(i=r1(e,h=new Nw);0!=g.b.c.length;)for(y=zz(mtt(g),10),(i.a.c.length>=k||!Ppt(y,i))&&(i=r1(e,h)),SJ(y,i),a=new cU(JO(fdt(y).a.Kc(),new l));bLt(a);)r=zz(Y5(a),17),t.a[r.p]||(b=r.c.i,--t.e[b.p],0==t.e[b.p]&&j7(iTt(g,b)));for(u=h.c.length-1;u>=0;--u)Kz(e.b,(f1(u,h.c.length),zz(h.c[u],29)));e.a.c=P7(Dte,HKt,1,0,5,1),HCt(n)}else HCt(n)}function tKt(t){var e,n,i,r,a,o,s,c;for(t.b=1,VGt(t),e=null,0==t.c&&94==t.a?(VGt(t),pKt(),pKt(),QPt(e=new T0(4),0,cte),o=new T0(4)):(pKt(),pKt(),o=new T0(4)),r=!0;1!=(c=t.c);){if(0==c&&93==t.a&&!r){e&&(WZt(e,o),o=e);break}if(n=t.a,i=!1,10==c)switch(n){case 100:case 68:case 119:case 87:case 115:case 83:lqt(o,b$t(n)),i=!0;break;case 105:case 73:case 99:case 67:lqt(o,b$t(n)),(n=-1)<0&&(i=!0);break;case 112:case 80:if(!(s=FMt(t,n)))throw qw(new ox(kKt((sD(),L7t))));lqt(o,s),i=!0;break;default:n=ZBt(t)}else if(24==c&&!r){if(e&&(WZt(e,o),o=e),WZt(o,tKt(t)),0!=t.c||93!=t.a)throw qw(new ox(kKt((sD(),P7t))));break}if(VGt(t),!i){if(0==c){if(91==n)throw qw(new ox(kKt((sD(),B7t))));if(93==n)throw qw(new ox(kKt((sD(),F7t))));if(45==n&&!r&&93!=t.a)throw qw(new ox(kKt((sD(),R7t))))}if(0!=t.c||45!=t.a||45==n&&r)QPt(o,n,n);else{if(VGt(t),1==(c=t.c))throw qw(new ox(kKt((sD(),O7t))));if(0==c&&93==t.a)QPt(o,n,n),QPt(o,45,45);else{if(0==c&&93==t.a||24==c)throw qw(new ox(kKt((sD(),R7t))));if(a=t.a,0==c){if(91==a)throw qw(new ox(kKt((sD(),B7t))));if(93==a)throw qw(new ox(kKt((sD(),F7t))));if(45==a)throw qw(new ox(kKt((sD(),R7t))))}else 10==c&&(a=ZBt(t));if(VGt(t),n>a)throw qw(new ox(kKt((sD(),z7t))));QPt(o,n,a)}}}r=!1}if(1==t.c)throw qw(new ox(kKt((sD(),O7t))));return TDt(o),Zqt(o),t.b=0,VGt(t),o}function eKt(t){XDt(t.c,j8t,Ast(Zx(Vee,1),lWt,2,6,[J8t,"http://www.w3.org/2001/XMLSchema#decimal"])),XDt(t.d,j8t,Ast(Zx(Vee,1),lWt,2,6,[J8t,"http://www.w3.org/2001/XMLSchema#integer"])),XDt(t.e,j8t,Ast(Zx(Vee,1),lWt,2,6,[J8t,"http://www.w3.org/2001/XMLSchema#boolean"])),XDt(t.f,j8t,Ast(Zx(Vee,1),lWt,2,6,[J8t,"EBoolean",n7t,"EBoolean:Object"])),XDt(t.i,j8t,Ast(Zx(Vee,1),lWt,2,6,[J8t,"http://www.w3.org/2001/XMLSchema#byte"])),XDt(t.g,j8t,Ast(Zx(Vee,1),lWt,2,6,[J8t,"http://www.w3.org/2001/XMLSchema#hexBinary"])),XDt(t.j,j8t,Ast(Zx(Vee,1),lWt,2,6,[J8t,"EByte",n7t,"EByte:Object"])),XDt(t.n,j8t,Ast(Zx(Vee,1),lWt,2,6,[J8t,"EChar",n7t,"EChar:Object"])),XDt(t.t,j8t,Ast(Zx(Vee,1),lWt,2,6,[J8t,"http://www.w3.org/2001/XMLSchema#double"])),XDt(t.u,j8t,Ast(Zx(Vee,1),lWt,2,6,[J8t,"EDouble",n7t,"EDouble:Object"])),XDt(t.F,j8t,Ast(Zx(Vee,1),lWt,2,6,[J8t,"http://www.w3.org/2001/XMLSchema#float"])),XDt(t.G,j8t,Ast(Zx(Vee,1),lWt,2,6,[J8t,"EFloat",n7t,"EFloat:Object"])),XDt(t.I,j8t,Ast(Zx(Vee,1),lWt,2,6,[J8t,"http://www.w3.org/2001/XMLSchema#int"])),XDt(t.J,j8t,Ast(Zx(Vee,1),lWt,2,6,[J8t,"EInt",n7t,"EInt:Object"])),XDt(t.N,j8t,Ast(Zx(Vee,1),lWt,2,6,[J8t,"http://www.w3.org/2001/XMLSchema#long"])),XDt(t.O,j8t,Ast(Zx(Vee,1),lWt,2,6,[J8t,"ELong",n7t,"ELong:Object"])),XDt(t.Z,j8t,Ast(Zx(Vee,1),lWt,2,6,[J8t,"http://www.w3.org/2001/XMLSchema#short"])),XDt(t.$,j8t,Ast(Zx(Vee,1),lWt,2,6,[J8t,"EShort",n7t,"EShort:Object"])),XDt(t._,j8t,Ast(Zx(Vee,1),lWt,2,6,[J8t,"http://www.w3.org/2001/XMLSchema#string"]))}function nKt(t){var e,i,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x,k,_,E,T,C,S,A;if(1==t.c.length)return f1(0,t.c.length),zz(t.c[0],135);if(t.c.length<=0)return new S6;for(u=new Kd(t);u.a<u.c.c.length;){for(s=zz(t0(u),135),m=0,p=FKt,b=FKt,d=jWt,g=jWt,y=lwt(s.b,0);y.b!=y.d.c;)w=zz(d3(y),86),m+=zz(vTt(w,(MLt(),Dxe)),19).a,p=n.Math.min(p,w.e.a),b=n.Math.min(b,w.e.b),d=n.Math.max(d,w.e.a+w.f.a),g=n.Math.max(g,w.e.b+w.f.b);hct(s,(MLt(),Dxe),rft(m)),hct(s,(ZHt(),txe),new PA(p,b)),hct(s,Jve,new PA(d,g))}for(CX(),mD(t,new wo),Zot(x=new S6,(f1(0,t.c.length),zz(t.c[0],94))),f=0,C=0,l=new Kd(t);l.a<l.c.c.length;)s=zz(t0(l),135),k=GF(zD(zz(vTt(s,(ZHt(),Jve)),8)),zz(vTt(s,txe),8)),f=n.Math.max(f,k.a),C+=k.a*k.b;for(f=n.Math.max(f,n.Math.sqrt(C)*Zv(TB(vTt(x,(MLt(),kxe))))),S=0,A=0,h=0,e=_=Zv(TB(vTt(x,Pxe))),c=new Kd(t);c.a<c.c.c.length;)s=zz(t0(c),135),S+(k=GF(zD(zz(vTt(s,(ZHt(),Jve)),8)),zz(vTt(s,txe),8))).a>f&&(S=0,A+=h+_,h=0),EOt(x,s,S,A),e=n.Math.max(e,S+k.a),h=n.Math.max(h,k.b),S+=k.a+_;for(v=new Pw,i=new Pw,T=new Kd(t);T.a<T.c.c.length;)for(r=Hv(EB(vTt(E=zz(t0(T),135),(lKt(),fCe)))),o=(E.q?E.q:hne).vc().Kc();o.Ob();)lY(v,(a=zz(o.Pb(),42)).cd())?ZM(zz(a.cd(),146).wg())!==ZM(a.dd())&&(r&&lY(i,a.cd())?(DE(),zz(a.cd(),146).tg()):(WK(v,zz(a.cd(),146),a.dd()),hct(x,zz(a.cd(),146),a.dd()),r&&WK(i,zz(a.cd(),146),a.dd()))):(WK(v,zz(a.cd(),146),a.dd()),hct(x,zz(a.cd(),146),a.dd()));return x}function iKt(){iKt=I,RGt(),JMt(wse=new wQ,(kYt(),pMe),gMe),JMt(wse,TMe,gMe),JMt(wse,bMe,gMe),JMt(wse,kMe,gMe),JMt(wse,xMe,gMe),JMt(wse,mMe,gMe),JMt(wse,kMe,pMe),JMt(wse,gMe,lMe),JMt(wse,pMe,lMe),JMt(wse,TMe,lMe),JMt(wse,bMe,lMe),JMt(wse,vMe,lMe),JMt(wse,kMe,lMe),JMt(wse,xMe,lMe),JMt(wse,mMe,lMe),JMt(wse,dMe,lMe),JMt(wse,gMe,_Me),JMt(wse,pMe,_Me),JMt(wse,lMe,_Me),JMt(wse,TMe,_Me),JMt(wse,bMe,_Me),JMt(wse,vMe,_Me),JMt(wse,kMe,_Me),JMt(wse,dMe,_Me),JMt(wse,EMe,_Me),JMt(wse,xMe,_Me),JMt(wse,wMe,_Me),JMt(wse,mMe,_Me),JMt(wse,pMe,TMe),JMt(wse,bMe,TMe),JMt(wse,kMe,TMe),JMt(wse,mMe,TMe),JMt(wse,pMe,bMe),JMt(wse,TMe,bMe),JMt(wse,kMe,bMe),JMt(wse,bMe,bMe),JMt(wse,xMe,bMe),JMt(wse,gMe,hMe),JMt(wse,pMe,hMe),JMt(wse,lMe,hMe),JMt(wse,_Me,hMe),JMt(wse,TMe,hMe),JMt(wse,bMe,hMe),JMt(wse,vMe,hMe),JMt(wse,kMe,hMe),JMt(wse,EMe,hMe),JMt(wse,dMe,hMe),JMt(wse,mMe,hMe),JMt(wse,xMe,hMe),JMt(wse,yMe,hMe),JMt(wse,gMe,EMe),JMt(wse,pMe,EMe),JMt(wse,lMe,EMe),JMt(wse,TMe,EMe),JMt(wse,bMe,EMe),JMt(wse,vMe,EMe),JMt(wse,kMe,EMe),JMt(wse,dMe,EMe),JMt(wse,mMe,EMe),JMt(wse,wMe,EMe),JMt(wse,yMe,EMe),JMt(wse,pMe,dMe),JMt(wse,TMe,dMe),JMt(wse,bMe,dMe),JMt(wse,kMe,dMe),JMt(wse,EMe,dMe),JMt(wse,mMe,dMe),JMt(wse,xMe,dMe),JMt(wse,gMe,fMe),JMt(wse,pMe,fMe),JMt(wse,lMe,fMe),JMt(wse,TMe,fMe),JMt(wse,bMe,fMe),JMt(wse,vMe,fMe),JMt(wse,kMe,fMe),JMt(wse,dMe,fMe),JMt(wse,mMe,fMe),JMt(wse,pMe,xMe),JMt(wse,lMe,xMe),JMt(wse,_Me,xMe),JMt(wse,bMe,xMe),JMt(wse,gMe,wMe),JMt(wse,pMe,wMe),JMt(wse,_Me,wMe),JMt(wse,TMe,wMe),JMt(wse,bMe,wMe),JMt(wse,vMe,wMe),JMt(wse,kMe,wMe),JMt(wse,kMe,yMe),JMt(wse,bMe,yMe),JMt(wse,dMe,gMe),JMt(wse,dMe,TMe),JMt(wse,dMe,lMe),JMt(wse,vMe,gMe),JMt(wse,vMe,pMe),JMt(wse,vMe,_Me)}function rKt(t,e){switch(t.e){case 0:case 2:case 4:case 6:case 42:case 44:case 46:case 48:case 8:case 10:case 12:case 14:case 16:case 18:case 20:case 22:case 24:case 26:case 28:case 30:case 32:case 34:case 36:case 38:return new UX(t.b,t.a,e,t.c);case 1:return new OO(t.a,e,Dgt(e.Tg(),t.c));case 43:return new PO(t.a,e,Dgt(e.Tg(),t.c));case 3:return new DO(t.a,e,Dgt(e.Tg(),t.c));case 45:return new NO(t.a,e,Dgt(e.Tg(),t.c));case 41:return new v8(zz(Ixt(t.c),26),t.a,e,Dgt(e.Tg(),t.c));case 50:return new xit(zz(Ixt(t.c),26),t.a,e,Dgt(e.Tg(),t.c));case 5:return new iR(t.a,e,Dgt(e.Tg(),t.c),t.d.n);case 47:return new rR(t.a,e,Dgt(e.Tg(),t.c),t.d.n);case 7:return new nY(t.a,e,Dgt(e.Tg(),t.c),t.d.n);case 49:return new nR(t.a,e,Dgt(e.Tg(),t.c),t.d.n);case 9:return new jO(t.a,e,Dgt(e.Tg(),t.c));case 11:return new $O(t.a,e,Dgt(e.Tg(),t.c));case 13:return new RO(t.a,e,Dgt(e.Tg(),t.c));case 15:return new Tq(t.a,e,Dgt(e.Tg(),t.c));case 17:return new zO(t.a,e,Dgt(e.Tg(),t.c));case 19:return new FO(t.a,e,Dgt(e.Tg(),t.c));case 21:return new BO(t.a,e,Dgt(e.Tg(),t.c));case 23:return new vq(t.a,e,Dgt(e.Tg(),t.c));case 25:return new hR(t.a,e,Dgt(e.Tg(),t.c),t.d.n);case 27:return new lR(t.a,e,Dgt(e.Tg(),t.c),t.d.n);case 29:return new cR(t.a,e,Dgt(e.Tg(),t.c),t.d.n);case 31:return new aR(t.a,e,Dgt(e.Tg(),t.c),t.d.n);case 33:return new uR(t.a,e,Dgt(e.Tg(),t.c),t.d.n);case 35:return new sR(t.a,e,Dgt(e.Tg(),t.c),t.d.n);case 37:return new oR(t.a,e,Dgt(e.Tg(),t.c),t.d.n);case 39:return new iY(t.a,e,Dgt(e.Tg(),t.c),t.d.n);case 40:return new Eat(e,Dgt(e.Tg(),t.c));default:throw qw(new pv("Unknown feature style: "+t.e))}}function aKt(t,e,n){var i,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x;switch(LEt(n,"Brandes & Koepf node placement",1),t.a=e,t.c=zjt(e),i=zz(vTt(e,(HGt(),Nbe)),274),d=Hv(EB(vTt(e,Pbe))),t.d=i==(qkt(),Xle)&&!d||i==Gle,JHt(t,e),v=null,x=null,b=null,w=null,dit(4,DWt),p=new Q6(4),zz(vTt(e,Nbe),274).g){case 3:b=new ZRt(e,t.c.d,(cJ(),rve),(bQ(),tve)),p.c[p.c.length]=b;break;case 1:w=new ZRt(e,t.c.d,(cJ(),ave),(bQ(),tve)),p.c[p.c.length]=w;break;case 4:v=new ZRt(e,t.c.d,(cJ(),rve),(bQ(),eve)),p.c[p.c.length]=v;break;case 2:x=new ZRt(e,t.c.d,(cJ(),ave),(bQ(),eve)),p.c[p.c.length]=x;break;default:b=new ZRt(e,t.c.d,(cJ(),rve),(bQ(),tve)),w=new ZRt(e,t.c.d,ave,tve),v=new ZRt(e,t.c.d,rve,eve),x=new ZRt(e,t.c.d,ave,eve),p.c[p.c.length]=v,p.c[p.c.length]=x,p.c[p.c.length]=b,p.c[p.c.length]=w}for(r=new iA(e,t.c),s=new Kd(p);s.a<s.c.c.length;)AGt(r,a=zz(t0(s),180),t.b),Wzt(a);for(f=new Jvt(e,t.c),c=new Kd(p);c.a<c.c.c.length;)HUt(f,a=zz(t0(c),180));if(n.n)for(u=new Kd(p);u.a<u.c.c.length;)Iq(n,(a=zz(t0(u),180))+" size is "+mDt(a));if(h=null,t.d&&Izt(e,l=zYt(t,p,t.c.d),n)&&(h=l),!h)for(u=new Kd(p);u.a<u.c.c.length;)Izt(e,a=zz(t0(u),180),n)&&(!h||mDt(h)>mDt(a))&&(h=a);for(!h&&(f1(0,p.c.length),h=zz(p.c[0],180)),g=new Kd(e.b);g.a<g.c.c.length;)for(m=new Kd(zz(t0(g),29).a);m.a<m.c.c.length;)(y=zz(t0(m),10)).n.b=Zv(h.p[y.p])+Zv(h.d[y.p]);for(n.n&&(Iq(n,"Chosen node placement: "+h),Iq(n,"Blocks: "+BIt(h)),Iq(n,"Classes: "+GLt(h,n)),Iq(n,"Marked edges: "+t.b)),o=new Kd(p);o.a<o.c.c.length;)(a=zz(t0(o),180)).g=null,a.b=null,a.a=null,a.d=null,a.j=null,a.i=null,a.p=null;Yrt(t.c),t.b.a.$b(),HCt(n)}function oKt(t,e,n){var i,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x,k,_,E;for(o=new VE,y=zz(vTt(n,(HGt(),Ype)),103),g=0,zrt(o,(!e.a&&(e.a=new nY(YIe,e,10,11)),e.a));0!=o.b;)u=zz(0==o.b?null:(SP(0!=o.b),Det(o,o.a.a)),33),(ZM(tDt(e,Ope))!==ZM((vct(),Nye))||ZM(tDt(e,Zpe))===ZM((Xyt(),_le))||ZM(tDt(e,Zpe))===ZM((Xyt(),xle))||Hv(EB(tDt(e,Ppe)))||ZM(tDt(e,Ape))!==ZM((qht(),gse)))&&!Hv(EB(tDt(u,Dpe)))&&Qwt(u,(hKt(),gfe),rft(g++)),!Hv(EB(tDt(u,Zbe)))&&(h=0!=(!u.a&&(u.a=new nY(YIe,u,10,11)),u.a).i,d=kEt(u),f=ZM(tDt(u,ube))===ZM((cht(),wAe)),b=null,(E=!S7(u,(lKt(),nCe))||mR(CB(tDt(u,nCe)),p1t))&&f&&(h||d)&&(hct(b=kjt(u),Ype,y),OP(b,bwe)&&Tv(new cgt(Zv(TB(vTt(b,bwe)))),b),0!=zz(tDt(u,jbe),174).gc()&&(l=b,QE(new FH(null,(!u.c&&(u.c=new nY(GIe,u,9,9)),new g1(u.c,16))),new Gg(l)),vBt(u,b))),m=n,(v=zz(FG(t.a,QQ(u)),10))&&(m=v.e),p=pUt(t,u,m),b&&(p.e=b,b.e=p,zrt(o,(!u.a&&(u.a=new nY(YIe,u,10,11)),u.a))));for(g=0,r5(o,e,o.c.b,o.c);0!=o.b;){for(c=new LO((!(a=zz(0==o.b?null:(SP(0!=o.b),Det(o,o.a.a)),33)).b&&(a.b=new nY($Ie,a,12,3)),a.b));c.e!=c.i.gc();)nRt(s=zz(kwt(c),79)),(ZM(tDt(e,Ope))!==ZM((vct(),Nye))||ZM(tDt(e,Zpe))===ZM((Xyt(),_le))||ZM(tDt(e,Zpe))===ZM((Xyt(),xle))||Hv(EB(tDt(e,Ppe)))||ZM(tDt(e,Ape))!==ZM((qht(),gse)))&&Qwt(s,(hKt(),gfe),rft(g++)),k=AEt(zz(Wet((!s.b&&(s.b=new lR(RIe,s,4,7)),s.b),0),82)),_=AEt(zz(Wet((!s.c&&(s.c=new lR(RIe,s,5,8)),s.c),0),82)),Hv(EB(tDt(s,Zbe)))||Hv(EB(tDt(k,Zbe)))||Hv(EB(tDt(_,Zbe)))||(w=a,VMt(s)&&Hv(EB(tDt(k,gbe)))&&Hv(EB(tDt(s,pbe)))||Met(_,k)?w=k:Met(k,_)&&(w=_),m=n,(v=zz(FG(t.a,w),10))&&(m=v.e),hct(cKt(t,s,w,m),(hKt(),jhe),NPt(t,s,e,n)));if(f=ZM(tDt(a,ube))===ZM((cht(),wAe)))for(r=new LO((!a.a&&(a.a=new nY(YIe,a,10,11)),a.a));r.e!=r.i.gc();)E=!S7(i=zz(kwt(r),33),(lKt(),nCe))||mR(CB(tDt(i,nCe)),p1t),x=ZM(tDt(i,ube))===ZM(wAe),E&&x&&r5(o,i,o.c.b,o.c)}}function sKt(t,e,n,i,r,a){var o,s,c,u,l,h,f;switch(e){case 71:o=i.q.getFullYear()-lXt>=-1900?1:0,cI(t,n>=4?Ast(Zx(Vee,1),lWt,2,6,[fXt,dXt])[o]:Ast(Zx(Vee,1),lWt,2,6,["BC","AD"])[o]);break;case 121:uwt(t,n,i);break;case 77:KRt(t,n,i);break;case 107:_tt(t,0==(s=r.q.getHours())?24:s,n);break;case 83:ROt(t,n,r);break;case 69:c=i.q.getDay(),cI(t,5==n?Ast(Zx(Vee,1),lWt,2,6,["S","M","T","W","T","F","S"])[c]:4==n?Ast(Zx(Vee,1),lWt,2,6,[gXt,pXt,bXt,wXt,yXt,mXt,vXt])[c]:Ast(Zx(Vee,1),lWt,2,6,["Sun","Mon","Tue","Wed","Thu","Fri","Sat"])[c]);break;case 97:r.q.getHours()>=12&&r.q.getHours()<24?cI(t,Ast(Zx(Vee,1),lWt,2,6,["AM","PM"])[1]):cI(t,Ast(Zx(Vee,1),lWt,2,6,["AM","PM"])[0]);break;case 104:_tt(t,0==(u=r.q.getHours()%12)?12:u,n);break;case 75:_tt(t,r.q.getHours()%12,n);break;case 72:_tt(t,r.q.getHours(),n);break;case 99:l=i.q.getDay(),5==n?cI(t,Ast(Zx(Vee,1),lWt,2,6,["S","M","T","W","T","F","S"])[l]):4==n?cI(t,Ast(Zx(Vee,1),lWt,2,6,[gXt,pXt,bXt,wXt,yXt,mXt,vXt])[l]):3==n?cI(t,Ast(Zx(Vee,1),lWt,2,6,["Sun","Mon","Tue","Wed","Thu","Fri","Sat"])[l]):_tt(t,l,1);break;case 76:h=i.q.getMonth(),5==n?cI(t,Ast(Zx(Vee,1),lWt,2,6,["J","F","M","A","M","J","J","A","S","O","N","D"])[h]):4==n?cI(t,Ast(Zx(Vee,1),lWt,2,6,[QWt,JWt,tXt,eXt,nXt,iXt,rXt,aXt,oXt,sXt,cXt,uXt])[h]):3==n?cI(t,Ast(Zx(Vee,1),lWt,2,6,["Jan","Feb","Mar","Apr",nXt,"Jun","Jul","Aug","Sep","Oct","Nov","Dec"])[h]):_tt(t,h+1,n);break;case 81:f=i.q.getMonth()/3|0,cI(t,n<4?Ast(Zx(Vee,1),lWt,2,6,["Q1","Q2","Q3","Q4"])[f]:Ast(Zx(Vee,1),lWt,2,6,["1st quarter","2nd quarter","3rd quarter","4th quarter"])[f]);break;case 100:_tt(t,i.q.getDate(),n);break;case 109:_tt(t,r.q.getMinutes(),n);break;case 115:_tt(t,r.q.getSeconds(),n);break;case 122:cI(t,n<4?a.c[0]:a.c[1]);break;case 118:cI(t,a.b);break;case 90:cI(t,n<3?eMt(a):3==n?pMt(a):bMt(a.a));break;default:return!1}return!0}function cKt(t,e,n,i){var r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x,k,_,E,T,C,S,A;if(nRt(e),c=zz(Wet((!e.b&&(e.b=new lR(RIe,e,4,7)),e.b),0),82),l=zz(Wet((!e.c&&(e.c=new lR(RIe,e,5,8)),e.c),0),82),s=AEt(c),u=AEt(l),o=0==(!e.a&&(e.a=new nY(jIe,e,6,6)),e.a).i?null:zz(Wet((!e.a&&(e.a=new nY(jIe,e,6,6)),e.a),0),202),k=zz(FG(t.a,s),10),C=zz(FG(t.a,u),10),_=null,S=null,aO(c,186)&&(aO(x=zz(FG(t.a,c),299),11)?_=zz(x,11):aO(x,10)&&(k=zz(x,10),_=zz(PH(k.j,0),11))),aO(l,186)&&(aO(T=zz(FG(t.a,l),299),11)?S=zz(T,11):aO(T,10)&&(C=zz(T,10),S=zz(PH(C.j,0),11))),!k||!C)throw qw(new ax("The source or the target of edge "+e+" could not be found. This usually happens when an edge connects a node laid out by ELK Layered to a node in another level of hierarchy laid out by either another instance of ELK Layered or another layout algorithm alltogether. The former can be solved by setting the hierarchyHandling option to INCLUDE_CHILDREN."));for(Zot(p=new gV,e),hct(p,(hKt(),pfe),e),hct(p,(HGt(),ybe),null),d=zz(vTt(i,Jhe),21),k==C&&d.Fc((gBt(),yhe)),_||(sit(),v=Hye,E=null,o&&yL(zz(vTt(k,nwe),98))&&(V3(E=new PA(o.j,o.k),GQ(e)),e5(E,n),Met(u,s)&&(v=qye,YF(E,k.n))),_=bqt(k,E,v,i)),S||(sit(),v=qye,A=null,o&&yL(zz(vTt(C,nwe),98))&&(V3(A=new PA(o.b,o.c),GQ(e)),e5(A,n)),S=bqt(C,A,v,yK(C))),CJ(p,_),TJ(p,S),(_.e.c.length>1||_.g.c.length>1||S.e.c.length>1||S.g.c.length>1)&&d.Fc((gBt(),dhe)),f=new LO((!e.n&&(e.n=new nY(UIe,e,1,7)),e.n));f.e!=f.i.gc();)if(!Hv(EB(tDt(h=zz(kwt(f),137),Zbe)))&&h.a)switch(b=Hlt(h),Kz(p.b,b),zz(vTt(b,Vpe),272).g){case 1:case 2:d.Fc((gBt(),hhe));break;case 0:d.Fc((gBt(),uhe)),hct(b,Vpe,(Ret(),USe))}if(a=zz(vTt(i,Hpe),314),w=zz(vTt(i,$be),315),r=a==(Lit(),ule)||w==(Pyt(),wye),o&&0!=(!o.a&&(o.a=new DO(PIe,o,5)),o.a).i&&r){for(y=ZCt(o),g=new xm,m=lwt(y,0);m.b!=m.d.c;)Bq(g,new gL(zz(d3(m),8)));hct(p,bfe,g)}return p}function uKt(t){t.gb||(t.gb=!0,t.b=kot(t,0),Rrt(t.b,18),$rt(t.b,19),t.a=kot(t,1),Rrt(t.a,1),$rt(t.a,2),$rt(t.a,3),$rt(t.a,4),$rt(t.a,5),t.o=kot(t,2),Rrt(t.o,8),Rrt(t.o,9),$rt(t.o,10),$rt(t.o,11),$rt(t.o,12),$rt(t.o,13),$rt(t.o,14),$rt(t.o,15),$rt(t.o,16),$rt(t.o,17),$rt(t.o,18),$rt(t.o,19),$rt(t.o,20),$rt(t.o,21),$rt(t.o,22),$rt(t.o,23),cet(t.o),cet(t.o),cet(t.o),cet(t.o),cet(t.o),cet(t.o),cet(t.o),cet(t.o),cet(t.o),cet(t.o),t.p=kot(t,3),Rrt(t.p,2),Rrt(t.p,3),Rrt(t.p,4),Rrt(t.p,5),$rt(t.p,6),$rt(t.p,7),cet(t.p),cet(t.p),t.q=kot(t,4),Rrt(t.q,8),t.v=kot(t,5),$rt(t.v,9),cet(t.v),cet(t.v),cet(t.v),t.w=kot(t,6),Rrt(t.w,2),Rrt(t.w,3),Rrt(t.w,4),$rt(t.w,5),t.B=kot(t,7),$rt(t.B,1),cet(t.B),cet(t.B),cet(t.B),t.Q=kot(t,8),$rt(t.Q,0),cet(t.Q),t.R=kot(t,9),Rrt(t.R,1),t.S=kot(t,10),cet(t.S),cet(t.S),cet(t.S),cet(t.S),cet(t.S),cet(t.S),cet(t.S),cet(t.S),cet(t.S),cet(t.S),cet(t.S),cet(t.S),cet(t.S),cet(t.S),cet(t.S),t.T=kot(t,11),$rt(t.T,10),$rt(t.T,11),$rt(t.T,12),$rt(t.T,13),$rt(t.T,14),cet(t.T),cet(t.T),t.U=kot(t,12),Rrt(t.U,2),Rrt(t.U,3),$rt(t.U,4),$rt(t.U,5),$rt(t.U,6),$rt(t.U,7),cet(t.U),t.V=kot(t,13),$rt(t.V,10),t.W=kot(t,14),Rrt(t.W,18),Rrt(t.W,19),Rrt(t.W,20),$rt(t.W,21),$rt(t.W,22),$rt(t.W,23),t.bb=kot(t,15),Rrt(t.bb,10),Rrt(t.bb,11),Rrt(t.bb,12),Rrt(t.bb,13),Rrt(t.bb,14),Rrt(t.bb,15),Rrt(t.bb,16),$rt(t.bb,17),cet(t.bb),cet(t.bb),t.eb=kot(t,16),Rrt(t.eb,2),Rrt(t.eb,3),Rrt(t.eb,4),Rrt(t.eb,5),Rrt(t.eb,6),Rrt(t.eb,7),$rt(t.eb,8),$rt(t.eb,9),t.ab=kot(t,17),Rrt(t.ab,0),Rrt(t.ab,1),t.H=kot(t,18),$rt(t.H,0),$rt(t.H,1),$rt(t.H,2),$rt(t.H,3),$rt(t.H,4),$rt(t.H,5),cet(t.H),t.db=kot(t,19),$rt(t.db,2),t.c=_ot(t,20),t.d=_ot(t,21),t.e=_ot(t,22),t.f=_ot(t,23),t.i=_ot(t,24),t.g=_ot(t,25),t.j=_ot(t,26),t.k=_ot(t,27),t.n=_ot(t,28),t.r=_ot(t,29),t.s=_ot(t,30),t.t=_ot(t,31),t.u=_ot(t,32),t.fb=_ot(t,33),t.A=_ot(t,34),t.C=_ot(t,35),t.D=_ot(t,36),t.F=_ot(t,37),t.G=_ot(t,38),t.I=_ot(t,39),t.J=_ot(t,40),t.L=_ot(t,41),t.M=_ot(t,42),t.N=_ot(t,43),t.O=_ot(t,44),t.P=_ot(t,45),t.X=_ot(t,46),t.Y=_ot(t,47),t.Z=_ot(t,48),t.$=_ot(t,49),t._=_ot(t,50),t.cb=_ot(t,51),t.K=_ot(t,52))}function lKt(){var t,e;lKt=I,nCe=new sw(p5t),mSe=new sw(b5t),pyt(),iCe=new DI(W2t,rCe=ATe),new Dw,aCe=new DI(XQt,null),oCe=new sw(w5t),p_t(),hCe=_Z(JTe,Ast(Zx(HSe,1),OWt,291,0,[WTe])),lCe=new DI(c3t,hCe),fCe=new DI(K2t,(lN(),!1)),zht(),dCe=new DI(J2t,gCe=zSe),Cdt(),yCe=new DI(x2t,mCe=JSe),kCe=new DI(D4t,!1),cht(),_Ce=new DI(b2t,ECe=yAe),KCe=new KL(12),GCe=new DI(VQt,KCe),ACe=new DI(_Jt,!1),MCe=new DI(v3t,!1),YCe=new DI(CJt,!1),V_t(),sSe=new DI(EJt,cSe=VAe),bSe=new sw(w3t),wSe=new sw(yJt),ySe=new sw(xJt),xSe=new sw(kJt),LCe=new xm,ICe=new DI(u3t,LCe),uCe=new DI(f3t,!1),TCe=new DI(d3t,!1),new sw(y5t),OCe=new fm,DCe=new DI(y3t,OCe),UCe=new DI(Y2t,!1),new Dw,vSe=new DI(m5t,1),new DI(v5t,!0),rft(0),new DI(x5t,rft(100)),new DI(k5t,!1),rft(0),new DI(_5t,rft(4e3)),rft(0),new DI(E5t,rft(400)),new DI(T5t,!1),new DI(C5t,!1),new DI(S5t,!0),new DI(A5t,!1),zgt(),sCe=new DI(g5t,cCe=nIe),kSe=new DI(N2t,10),_Se=new DI(P2t,10),ESe=new DI(KQt,20),TSe=new DI(B2t,10),CSe=new DI(vJt,2),SSe=new DI(F2t,10),MSe=new DI(R2t,0),ISe=new DI(z2t,5),LSe=new DI($2t,1),DSe=new DI(j2t,1),OSe=new DI(mJt,20),NSe=new DI(q2t,10),FSe=new DI(H2t,10),ASe=new sw(Z2t),BSe=new fL,PSe=new DI(m3t,BSe),VCe=new sw(b3t),WCe=new DI(p3t,XCe=!1),PCe=new KL(5),NCe=new DI(t3t,PCe),eDt(),e=zz(Wk(ZAe),9),FCe=new VR(e,zz(CF(e,e.length),9),0),BCe=new DI(MJt,FCe),owt(),JCe=new DI(i3t,tSe=zAe),nSe=new sw(r3t),iSe=new sw(a3t),rSe=new sw(o3t),eSe=new sw(s3t),t=zz(Wk(VMe),9),$Ce=new VR(t,zz(CF(t,t.length),9),0),RCe=new DI(AJt,$Ce),ZCe=edt((e$t(),ZMe)),HCe=new DI(SJt,ZCe),qCe=new PA(0,0),zCe=new DI(qJt,qCe),jCe=new DI(Q2t,!1),Ret(),bCe=new DI(l3t,wCe=USe),pCe=new DI(TJt,!1),new sw(M5t),rft(1),new DI(I5t,null),aSe=new sw(g3t),uSe=new sw(h3t),kYt(),gSe=new DI(G2t,pSe=SMe),oSe=new sw(U2t),dMt(),fSe=edt(rMe),hSe=new DI(IJt,fSe),lSe=new DI(e3t,!1),dSe=new DI(n3t,!0),CCe=new DI(X2t,!1),SCe=new DI(V2t,!1),vCe=new DI(WQt,1),eTt(),new DI(L5t,xCe=oAe),QCe=!0}function hKt(){var t,e;hKt=I,pfe=new sw(LJt),jhe=new sw("coordinateOrigin"),Tfe=new sw("processors"),$he=new iF("compoundNode",(lN(),!1)),nfe=new iF("insideConnections",!1),bfe=new sw("originalBendpoints"),wfe=new sw("originalDummyNodePosition"),yfe=new sw("originalLabelEdge"),Sfe=new sw("representedLabels"),Uhe=new sw("endLabels"),Yhe=new sw("endLabel.origin"),sfe=new iF("labelSide",(Kvt(),TAe)),dfe=new iF("maxEdgeThickness",0),Afe=new iF("reversed",!1),Cfe=new sw(DJt),lfe=new iF("longEdgeSource",null),hfe=new iF("longEdgeTarget",null),ufe=new iF("longEdgeHasLabelDummies",!1),cfe=new iF("longEdgeBeforeLabelDummy",!1),Zhe=new iF("edgeConstraint",(Jst(),Lle)),rfe=new sw("inLayerLayoutUnit"),ife=new iF("inLayerConstraint",(U9(),She)),afe=new iF("inLayerSuccessorConstraint",new Nw),ofe=new iF("inLayerSuccessorConstraintBetweenNonDummies",!1),_fe=new sw("portDummy"),zhe=new iF("crossingHint",rft(0)),Jhe=new iF("graphProperties",new VR(e=zz(Wk(Ehe),9),zz(CF(e,e.length),9),0)),Xhe=new iF("externalPortSide",(kYt(),SMe)),Vhe=new iF("externalPortSize",new Zk),Khe=new sw("externalPortReplacedDummies"),Whe=new sw("externalPortReplacedDummy"),Ghe=new iF("externalPortConnections",new VR(t=zz(Wk(jMe),9),zz(CF(t,t.length),9),0)),Efe=new iF(bQt,0),Phe=new sw("barycenterAssociates"),Rfe=new sw("TopSideComments"),Bhe=new sw("BottomSideComments"),Rhe=new sw("CommentConnectionPort"),efe=new iF("inputCollect",!1),xfe=new iF("outputCollect",!1),Hhe=new iF("cyclic",!1),qhe=new sw("crossHierarchyMap"),Ffe=new sw("targetOffset"),new iF("splineLabelSize",new Zk),Lfe=new sw("spacings"),kfe=new iF("partitionConstraint",!1),Fhe=new sw("breakingPoint.info"),Pfe=new sw("splines.survivingEdge"),Nfe=new sw("splines.route.start"),Dfe=new sw("splines.edgeChain"),vfe=new sw("originalPortConstraints"),Ife=new sw("selfLoopHolder"),Ofe=new sw("splines.nsPortY"),gfe=new sw("modelOrder"),ffe=new sw("longEdgeTargetNode"),Qhe=new iF(Y1t,!1),Mfe=new iF(Y1t,!1),tfe=new sw("layerConstraints.hiddenNodes"),mfe=new sw("layerConstraints.opposidePort"),Bfe=new sw("targetNode.modelOrder")}function fKt(){fKt=I,$tt(),Cde=new DI(G1t,Sde=Cle),Zde=new DI(K1t,(lN(),!1)),U2(),Wde=new DI(W1t,Xde=Lhe),gge=new DI(X1t,!1),pge=new DI(V1t,!0),Yfe=new DI(Q1t,!1),Y9(),Nge=new DI(J1t,Pge=Rye),rft(1),Hge=new DI(t0t,rft(7)),Zge=new DI(e0t,!1),Ude=new DI(n0t,!1),Xyt(),Ede=new DI(i0t,Tde=vle),TEt(),fge=new DI(r0t,dge=eye),Tdt(),nge=new DI(a0t,ige=Hfe),rft(-1),ege=new DI(o0t,rft(-1)),rft(-1),rge=new DI(s0t,rft(-1)),rft(-1),age=new DI(c0t,rft(4)),rft(-1),sge=new DI(u0t,rft(2)),lNt(),lge=new DI(l0t,hge=Mye),rft(0),uge=new DI(h0t,rft(0)),Jde=new DI(f0t,rft(FKt)),Lit(),kde=new DI(d0t,_de=lle),sde=new DI(g0t,!1),bde=new DI(p0t,.1),vde=new DI(b0t,!1),rft(-1),yde=new DI(w0t,rft(-1)),rft(-1),mde=new DI(y0t,rft(-1)),rft(0),cde=new DI(m0t,rft(40)),$ot(),dde=new DI(v0t,gde=_he),ude=new DI(x0t,lde=xhe),Pyt(),Dge=new DI(k0t,Oge=bye),kge=new sw(_0t),b9(),bge=new DI(E0t,wge=Hle),qkt(),mge=new DI(T0t,vge=Xle),new Dw,Tge=new DI(C0t,.3),Sge=new sw(S0t),gyt(),Age=new DI(A0t,Mge=fye),Hat(),Nde=new DI(M0t,Pde=Kye),L6(),Bde=new DI(I0t,Fde=Jye),Gut(),Rde=new DI(L0t,$de=rme),zde=new DI(D0t,.2),Dde=new DI(O0t,2),$ge=new DI(N0t,null),zge=new DI(P0t,10),jge=new DI(B0t,10),qge=new DI(F0t,20),rft(0),Bge=new DI(R0t,rft(0)),rft(0),Fge=new DI($0t,rft(0)),rft(0),Rge=new DI(j0t,rft(0)),Gfe=new DI(z0t,!1),JTt(),Xfe=new DI(q0t,Vfe=ahe),W7(),Kfe=new DI(H0t,Wfe=ole),Gde=new DI(Z0t,!1),rft(0),Yde=new DI(U0t,rft(16)),rft(0),Kde=new DI(Y0t,rft(5)),Ost(),fpe=new DI(G0t,dpe=dme),Uge=new DI(K0t,10),Kge=new DI(W0t,1),cit(),npe=new DI(X0t,ipe=ble),Vge=new sw(V0t),tpe=rft(1),rft(0),Jge=new DI(Q0t,tpe),bat(),wpe=new DI(J0t,ype=sme),gpe=new sw(t2t),cpe=new DI(e2t,!0),ope=new DI(n2t,2),lpe=new DI(i2t,!0),wCt(),Ide=new DI(r2t,Lde=$le),OSt(),Ade=new DI(a2t,Mde=Jue),vct(),ade=new DI(o2t,ode=Nye),rde=new DI(s2t,!1),qht(),Qfe=new DI(c2t,Jfe=gse),Clt(),nde=new DI(u2t,ide=aye),tde=new DI(l2t,0),ede=new DI(h2t,0),Qde=kle,Vde=ule,oge=tye,cge=tye,tge=Vwe,cht(),wde=wAe,xde=lle,pde=lle,hde=lle,fde=wAe,_ge=mye,Ege=bye,yge=bye,xge=bye,Cge=yye,Lge=mye,Ige=mye,Cdt(),jde=QSe,qde=QSe,Hde=rme,Ode=VSe,Yge=gme,Gge=fme,Wge=gme,Xge=fme,rpe=gme,ape=fme,Qge=ple,epe=ble,mpe=gme,vpe=fme,ppe=gme,bpe=fme,upe=fme,spe=fme,hpe=fme}function dKt(){dKt=I,rce=new tS("DIRECTION_PREPROCESSOR",0),ece=new tS("COMMENT_PREPROCESSOR",1),ace=new tS("EDGE_AND_LAYER_CONSTRAINT_EDGE_REVERSER",2),xce=new tS("INTERACTIVE_EXTERNAL_PORT_POSITIONER",3),jce=new tS("PARTITION_PREPROCESSOR",4),Tce=new tS("LABEL_DUMMY_INSERTER",5),Yce=new tS("SELF_LOOP_PREPROCESSOR",6),Ice=new tS("LAYER_CONSTRAINT_PREPROCESSOR",7),Rce=new tS("PARTITION_MIDPROCESSOR",8),bce=new tS("HIGH_DEGREE_NODE_LAYER_PROCESSOR",9),Nce=new tS("NODE_PROMOTION",10),Mce=new tS("LAYER_CONSTRAINT_POSTPROCESSOR",11),$ce=new tS("PARTITION_POSTPROCESSOR",12),fce=new tS("HIERARCHICAL_PORT_CONSTRAINT_PROCESSOR",13),Kce=new tS("SEMI_INTERACTIVE_CROSSMIN_PROCESSOR",14),Wse=new tS("BREAKING_POINT_INSERTER",15),Oce=new tS("LONG_EDGE_SPLITTER",16),qce=new tS("PORT_SIDE_PROCESSOR",17),kce=new tS("INVERTED_PORT_PROCESSOR",18),zce=new tS("PORT_LIST_SORTER",19),Xce=new tS("SORT_BY_INPUT_ORDER_OF_MODEL",20),Bce=new tS("NORTH_SOUTH_PORT_PREPROCESSOR",21),Xse=new tS("BREAKING_POINT_PROCESSOR",22),Fce=new tS(E1t,23),Vce=new tS(T1t,24),Zce=new tS("SELF_LOOP_PORT_RESTORER",25),Wce=new tS("SINGLE_EDGE_GRAPH_WRAPPER",26),_ce=new tS("IN_LAYER_CONSTRAINT_PROCESSOR",27),uce=new tS("END_NODE_PORT_LABEL_MANAGEMENT_PROCESSOR",28),Ece=new tS("LABEL_AND_NODE_SIZE_PROCESSOR",29),vce=new tS("INNERMOST_NODE_MARGIN_CALCULATOR",30),Gce=new tS("SELF_LOOP_ROUTER",31),Jse=new tS("COMMENT_NODE_MARGIN_CALCULATOR",32),sce=new tS("END_LABEL_PREPROCESSOR",33),Sce=new tS("LABEL_DUMMY_SWITCHER",34),Qse=new tS("CENTER_LABEL_MANAGEMENT_PROCESSOR",35),Ace=new tS("LABEL_SIDE_SELECTOR",36),yce=new tS("HYPEREDGE_DUMMY_MERGER",37),dce=new tS("HIERARCHICAL_PORT_DUMMY_SIZE_PROCESSOR",38),Lce=new tS("LAYER_SIZE_AND_GRAPH_HEIGHT_CALCULATOR",39),pce=new tS("HIERARCHICAL_PORT_POSITION_PROCESSOR",40),nce=new tS("CONSTRAINTS_POSTPROCESSOR",41),tce=new tS("COMMENT_POSTPROCESSOR",42),mce=new tS("HYPERNODE_PROCESSOR",43),gce=new tS("HIERARCHICAL_PORT_ORTHOGONAL_EDGE_ROUTER",44),Dce=new tS("LONG_EDGE_JOINER",45),Uce=new tS("SELF_LOOP_POSTPROCESSOR",46),Vse=new tS("BREAKING_POINT_REMOVER",47),Pce=new tS("NORTH_SOUTH_PORT_POSTPROCESSOR",48),wce=new tS("HORIZONTAL_COMPACTOR",49),Cce=new tS("LABEL_DUMMY_REMOVER",50),lce=new tS("FINAL_SPLINE_BENDPOINTS_CALCULATOR",51),cce=new tS("END_LABEL_SORTER",52),Hce=new tS("REVERSED_EDGE_RESTORER",53),oce=new tS("END_LABEL_POSTPROCESSOR",54),hce=new tS("HIERARCHICAL_NODE_RESIZER",55),ice=new tS("DIRECTION_POSTPROCESSOR",56)}function gKt(t,e,i){var r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x,k,_,E,T,C,S,A,M,I,L,D,O,N,P,B,F,R,$,j,z,q,H,Z,U,Y,G,K,W,X,V,Q,J,tt,et,nt,it,rt,at,ot,st;for(Q=0,O=0,B=(I=e).length;O<B;++O)for(Z=new Kd((A=I[O]).j);Z.a<Z.c.c.length;){for(Y=0,c=new Kd((H=zz(t0(Z),11)).g);c.a<c.c.c.length;)s=zz(t0(c),17),A.c!=s.d.i.c&&++Y;Y>0&&(t.a[H.p]=Q++)}for(it=0,N=0,F=(L=i).length;N<F;++N){for(R=0,Z=new Kd((A=L[N]).j);Z.a<Z.c.c.length&&(H=zz(t0(Z),11)).j==(kYt(),uMe);)for(c=new Kd(H.e);c.a<c.c.c.length;)if(s=zz(t0(c),17),A.c!=s.c.i.c){++R;break}for(j=0,G=new T2(A.j,A.j.c.length);G.b>0;){for(SP(G.b>0),Y=0,c=new Kd((H=zz(G.a.Xb(G.c=--G.b),11)).e);c.a<c.c.c.length;)s=zz(t0(c),17),A.c!=s.c.i.c&&++Y;Y>0&&(H.j==(kYt(),uMe)?(t.a[H.p]=it,++it):(t.a[H.p]=it+R+j,++j))}it+=j}for(U=new Pw,p=new hL,D=0,P=(M=e).length;D<P;++D)for(et=new Kd((A=M[D]).j);et.a<et.c.c.length;)for(c=new Kd((tt=zz(t0(et),11)).g);c.a<c.c.c.length;)if(at=(s=zz(t0(c),17)).d,A.c!=at.i.c)if(J=zz(HM(LV(U.f,tt)),467),rt=zz(HM(LV(U.f,at)),467),J||rt)if(J)if(rt)if(J==rt)Kz(J.a,s);else{for(Kz(J.a,s),q=new Kd(rt.d);q.a<q.c.c.length;)z=zz(t0(q),11),_At(U.f,z,J);wst(J.a,rt.a),wst(J.d,rt.d),p.a.Bc(rt)}else Kz(J.a,s),Kz(J.d,at),_At(U.f,at,J);else Kz(rt.a,s),Kz(rt.d,tt),_At(U.f,tt,rt);else g=new BF,p.a.zc(g,p),Kz(g.a,s),Kz(g.d,tt),_At(U.f,tt,g),Kz(g.d,at),_At(U.f,at,g);for(b=zz(Emt(p,P7(jme,{3:1,4:1,5:1,1946:1},467,p.a.gc(),0,1)),1946),S=e[0].c,V=i[0].c,f=0,d=(h=b).length;f<d;++f)for((l=h[f]).e=Q,l.f=it,Z=new Kd(l.d);Z.a<Z.c.c.length;)H=zz(t0(Z),11),K=t.a[H.p],H.i.c==S?(K<l.e&&(l.e=K),K>l.b&&(l.b=K)):H.i.c==V&&(K<l.f&&(l.f=K),K>l.c&&(l.c=K));for(U8(b,0,b.length,null),nt=P7(LNe,hXt,25,b.length,15,1),r=P7(LNe,hXt,25,it+1,15,1),y=0;y<b.length;y++)nt[y]=b[y].f,r[nt[y]]=1;for(o=0,m=0;m<r.length;m++)1==r[m]?r[m]=o:--o;for(W=0,v=0;v<nt.length;v++)nt[v]+=r[nt[v]],W=n.Math.max(W,nt[v]+1);for(u=1;u<W;)u*=2;for(st=2*u-1,u-=1,ot=P7(LNe,hXt,25,st,15,1),a=0,T=0;T<nt.length;T++)for(++ot[E=nt[T]+u];E>0;)E%2>0&&(a+=ot[E+1]),++ot[E=(E-1)/2|0];for(C=P7(Hme,HKt,362,2*b.length,0,1),x=0;x<b.length;x++)C[2*x]=new HW(b[x],b[x].e,b[x].b,(X4(),qme)),C[2*x+1]=new HW(b[x],b[x].b,b[x].e,zme);for(U8(C,0,C.length,null),$=0,k=0;k<C.length;k++)switch(C[k].d.g){case 0:++$;break;case 1:a+=--$}for(X=P7(Hme,HKt,362,2*b.length,0,1),_=0;_<b.length;_++)X[2*_]=new HW(b[_],b[_].f,b[_].c,(X4(),qme)),X[2*_+1]=new HW(b[_],b[_].c,b[_].f,zme);for(U8(X,0,X.length,null),$=0,w=0;w<X.length;w++)switch(X[w].d.g){case 0:++$;break;case 1:a+=--$}return a}function pKt(){pKt=I,uNe=new Lw(7),lNe=new cZ(8,94),new cZ(8,64),hNe=new cZ(8,36),wNe=new cZ(8,65),yNe=new cZ(8,122),mNe=new cZ(8,90),kNe=new cZ(8,98),pNe=new cZ(8,66),vNe=new cZ(8,60),_Ne=new cZ(8,62),cNe=new Lw(11),QPt(sNe=new T0(4),48,57),QPt(xNe=new T0(4),48,57),QPt(xNe,65,90),QPt(xNe,95,95),QPt(xNe,97,122),QPt(bNe=new T0(4),9,9),QPt(bNe,10,10),QPt(bNe,12,12),QPt(bNe,13,13),QPt(bNe,32,32),fNe=Ojt(sNe),gNe=Ojt(xNe),dNe=Ojt(bNe),iNe=new Pw,rNe=new Pw,aNe=Ast(Zx(Vee,1),lWt,2,6,["Cn","Lu","Ll","Lt","Lm","Lo","Mn","Me","Mc","Nd","Nl","No","Zs","Zl","Zp","Cc","Cf",null,"Co","Cs","Pd","Ps","Pe","Pc","Po","Sm","Sc","Sk","So","Pi","Pf","L","M","N","Z","C","P","S"]),nNe=Ast(Zx(Vee,1),lWt,2,6,["Basic Latin","Latin-1 Supplement","Latin Extended-A","Latin Extended-B","IPA Extensions","Spacing Modifier Letters","Combining Diacritical Marks","Greek","Cyrillic","Armenian","Hebrew","Arabic","Syriac","Thaana","Devanagari","Bengali","Gurmukhi","Gujarati","Oriya","Tamil","Telugu","Kannada","Malayalam","Sinhala","Thai","Lao","Tibetan","Myanmar","Georgian","Hangul Jamo","Ethiopic","Cherokee","Unified Canadian Aboriginal Syllabics","Ogham","Runic","Khmer","Mongolian","Latin Extended Additional","Greek Extended","General Punctuation","Superscripts and Subscripts","Currency Symbols","Combining Marks for Symbols","Letterlike Symbols","Number Forms","Arrows","Mathematical Operators","Miscellaneous Technical","Control Pictures","Optical Character Recognition","Enclosed Alphanumerics","Box Drawing","Block Elements","Geometric Shapes","Miscellaneous Symbols","Dingbats","Braille Patterns","CJK Radicals Supplement","Kangxi Radicals","Ideographic Description Characters","CJK Symbols and Punctuation","Hiragana","Katakana","Bopomofo","Hangul Compatibility Jamo","Kanbun","Bopomofo Extended","Enclosed CJK Letters and Months","CJK Compatibility","CJK Unified Ideographs Extension A","CJK Unified Ideographs","Yi Syllables","Yi Radicals","Hangul Syllables",wte,"CJK Compatibility Ideographs","Alphabetic Presentation Forms","Arabic Presentation Forms-A","Combining Half Marks","CJK Compatibility Forms","Small Form Variants","Arabic Presentation Forms-B","Specials","Halfwidth and Fullwidth Forms","Old Italic","Gothic","Deseret","Byzantine Musical Symbols","Musical Symbols","Mathematical Alphanumeric Symbols","CJK Unified Ideographs Extension B","CJK Compatibility Ideographs Supplement","Tags"]),oNe=Ast(Zx(LNe,1),hXt,25,15,[66304,66351,66352,66383,66560,66639,118784,119039,119040,119295,119808,120831,131072,173782,194560,195103,917504,917631])}function bKt(){bKt=I,Sre=new uat("OUT_T_L",0,(Q8(),Vie),(Z9(),ire),(Fet(),Zie),Zie,Ast(Zx(Fte,1),HKt,21,0,[_Z((eDt(),OAe),Ast(Zx(ZAe,1),OWt,93,0,[BAe,MAe]))])),Cre=new uat("OUT_T_C",1,Xie,ire,Zie,Uie,Ast(Zx(Fte,1),HKt,21,0,[_Z(OAe,Ast(Zx(ZAe,1),OWt,93,0,[BAe,AAe])),_Z(OAe,Ast(Zx(ZAe,1),OWt,93,0,[BAe,AAe,IAe]))])),Are=new uat("OUT_T_R",2,Qie,ire,Zie,Yie,Ast(Zx(Fte,1),HKt,21,0,[_Z(OAe,Ast(Zx(ZAe,1),OWt,93,0,[BAe,LAe]))])),yre=new uat("OUT_B_L",3,Vie,are,Yie,Zie,Ast(Zx(Fte,1),HKt,21,0,[_Z(OAe,Ast(Zx(ZAe,1),OWt,93,0,[NAe,MAe]))])),wre=new uat("OUT_B_C",4,Xie,are,Yie,Uie,Ast(Zx(Fte,1),HKt,21,0,[_Z(OAe,Ast(Zx(ZAe,1),OWt,93,0,[NAe,AAe])),_Z(OAe,Ast(Zx(ZAe,1),OWt,93,0,[NAe,AAe,IAe]))])),mre=new uat("OUT_B_R",5,Qie,are,Yie,Yie,Ast(Zx(Fte,1),HKt,21,0,[_Z(OAe,Ast(Zx(ZAe,1),OWt,93,0,[NAe,LAe]))])),kre=new uat("OUT_L_T",6,Qie,are,Zie,Zie,Ast(Zx(Fte,1),HKt,21,0,[_Z(OAe,Ast(Zx(ZAe,1),OWt,93,0,[MAe,BAe,IAe]))])),xre=new uat("OUT_L_C",7,Qie,rre,Uie,Zie,Ast(Zx(Fte,1),HKt,21,0,[_Z(OAe,Ast(Zx(ZAe,1),OWt,93,0,[MAe,PAe])),_Z(OAe,Ast(Zx(ZAe,1),OWt,93,0,[MAe,PAe,IAe]))])),vre=new uat("OUT_L_B",8,Qie,ire,Yie,Zie,Ast(Zx(Fte,1),HKt,21,0,[_Z(OAe,Ast(Zx(ZAe,1),OWt,93,0,[MAe,NAe,IAe]))])),Tre=new uat("OUT_R_T",9,Vie,are,Zie,Yie,Ast(Zx(Fte,1),HKt,21,0,[_Z(OAe,Ast(Zx(ZAe,1),OWt,93,0,[LAe,BAe,IAe]))])),Ere=new uat("OUT_R_C",10,Vie,rre,Uie,Yie,Ast(Zx(Fte,1),HKt,21,0,[_Z(OAe,Ast(Zx(ZAe,1),OWt,93,0,[LAe,PAe])),_Z(OAe,Ast(Zx(ZAe,1),OWt,93,0,[LAe,PAe,IAe]))])),_re=new uat("OUT_R_B",11,Vie,ire,Yie,Yie,Ast(Zx(Fte,1),HKt,21,0,[_Z(OAe,Ast(Zx(ZAe,1),OWt,93,0,[LAe,NAe,IAe]))])),pre=new uat("IN_T_L",12,Vie,are,Zie,Zie,Ast(Zx(Fte,1),HKt,21,0,[_Z(DAe,Ast(Zx(ZAe,1),OWt,93,0,[BAe,MAe])),_Z(DAe,Ast(Zx(ZAe,1),OWt,93,0,[BAe,MAe,IAe]))])),gre=new uat("IN_T_C",13,Xie,are,Zie,Uie,Ast(Zx(Fte,1),HKt,21,0,[_Z(DAe,Ast(Zx(ZAe,1),OWt,93,0,[BAe,AAe])),_Z(DAe,Ast(Zx(ZAe,1),OWt,93,0,[BAe,AAe,IAe]))])),bre=new uat("IN_T_R",14,Qie,are,Zie,Yie,Ast(Zx(Fte,1),HKt,21,0,[_Z(DAe,Ast(Zx(ZAe,1),OWt,93,0,[BAe,LAe])),_Z(DAe,Ast(Zx(ZAe,1),OWt,93,0,[BAe,LAe,IAe]))])),fre=new uat("IN_C_L",15,Vie,rre,Uie,Zie,Ast(Zx(Fte,1),HKt,21,0,[_Z(DAe,Ast(Zx(ZAe,1),OWt,93,0,[PAe,MAe])),_Z(DAe,Ast(Zx(ZAe,1),OWt,93,0,[PAe,MAe,IAe]))])),hre=new uat("IN_C_C",16,Xie,rre,Uie,Uie,Ast(Zx(Fte,1),HKt,21,0,[_Z(DAe,Ast(Zx(ZAe,1),OWt,93,0,[PAe,AAe])),_Z(DAe,Ast(Zx(ZAe,1),OWt,93,0,[PAe,AAe,IAe]))])),dre=new uat("IN_C_R",17,Qie,rre,Uie,Yie,Ast(Zx(Fte,1),HKt,21,0,[_Z(DAe,Ast(Zx(ZAe,1),OWt,93,0,[PAe,LAe])),_Z(DAe,Ast(Zx(ZAe,1),OWt,93,0,[PAe,LAe,IAe]))])),ure=new uat("IN_B_L",18,Vie,ire,Yie,Zie,Ast(Zx(Fte,1),HKt,21,0,[_Z(DAe,Ast(Zx(ZAe,1),OWt,93,0,[NAe,MAe])),_Z(DAe,Ast(Zx(ZAe,1),OWt,93,0,[NAe,MAe,IAe]))])),cre=new uat("IN_B_C",19,Xie,ire,Yie,Uie,Ast(Zx(Fte,1),HKt,21,0,[_Z(DAe,Ast(Zx(ZAe,1),OWt,93,0,[NAe,AAe])),_Z(DAe,Ast(Zx(ZAe,1),OWt,93,0,[NAe,AAe,IAe]))])),lre=new uat("IN_B_R",20,Qie,ire,Yie,Yie,Ast(Zx(Fte,1),HKt,21,0,[_Z(DAe,Ast(Zx(ZAe,1),OWt,93,0,[NAe,LAe])),_Z(DAe,Ast(Zx(ZAe,1),OWt,93,0,[NAe,LAe,IAe]))])),Mre=new uat(hQt,21,null,null,null,null,Ast(Zx(Fte,1),HKt,21,0,[]))}function 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yKt(t){var 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Furthermore, full layout of compound graphs with cross-hierarchy edges is supported when the respective option is activated on the top level."),new 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vKt(t,e){var n;return tNe||(tNe=new Pw,eNe=new Pw,pKt(),pKt(),xpt(n=new T0(4),"\t\n\r\r  "),mJ(tNe,fte,n),mJ(eNe,fte,Ojt(n)),xpt(n=new T0(4),pte),mJ(tNe,lte,n),mJ(eNe,lte,Ojt(n)),xpt(n=new T0(4),pte),mJ(tNe,lte,n),mJ(eNe,lte,Ojt(n)),xpt(n=new T0(4),bte),lqt(n,zz(CQ(tNe,lte),117)),mJ(tNe,hte,n),mJ(eNe,hte,Ojt(n)),xpt(n=new T0(4),"-.0:AZ__az··ÀÖØöøıĴľŁňŊžƀǃǍǰǴǵǺȗɐʨʻˁːˑ̀͠͡ͅΆΊΌΌΎΡΣώϐϖϚϚϜϜϞϞϠϠϢϳЁЌЎяёќўҁ҃҆ҐӄӇӈӋӌӐӫӮӵӸӹԱՖՙՙաֆֹֻֽֿֿׁׂ֑֣֡ׄׄאתװײءغـْ٠٩ٰڷںھۀێېۓە۪ۭۨ۰۹ँःअह़्॑॔क़ॣ०९ঁঃঅঌএঐওনপরললশহ়়াৄেৈো্ৗৗড়ঢ়য়ৣ০ৱਂਂਅਊਏਐਓਨਪਰਲਲ਼ਵਸ਼ਸਹ਼਼ਾੂੇੈੋ੍ਖ਼ੜਫ਼ਫ਼੦ੴઁઃઅઋઍઍએઑઓનપરલળવહ઼ૅેૉો્ૠૠ૦૯ଁଃଅଌଏଐଓନପରଲଳଶହ଼ୃେୈୋ୍ୖୗଡ଼ଢ଼ୟୡ୦୯ஂஃஅஊஎஐஒகஙசஜஜஞடணதநபமவஷஹாூெைொ்ௗௗ௧௯ఁఃఅఌఎఐఒనపళవహాౄెైొ్ౕౖౠౡ౦౯ಂಃಅಌಎಐಒನಪಳವಹಾೄೆೈೊ್ೕೖೞೞೠೡ೦೯ംഃഅഌഎഐഒനപഹാൃെൈൊ്ൗൗൠൡ൦൯กฮะฺเ๎๐๙ກຂຄຄງຈຊຊຍຍດທນຟມຣລລວວສຫອຮະູົຽເໄໆໆ່ໍ໐໙༘༙༠༩༹༹༵༵༷༷༾ཇཉཀྵ྄ཱ྆ྋྐྕྗྗྙྭྱྷྐྵྐྵႠჅაჶᄀᄀᄂᄃᄅᄇᄉᄉᄋᄌᄎᄒᄼᄼᄾᄾᅀᅀᅌᅌᅎᅎᅐᅐᅔᅕᅙᅙᅟᅡᅣᅣᅥᅥᅧᅧᅩᅩᅭᅮᅲᅳᅵᅵᆞᆞᆨᆨᆫᆫᆮᆯᆷᆸᆺᆺᆼᇂᇫᇫᇰᇰᇹᇹḀẛẠỹἀἕἘἝἠὅὈὍὐὗὙὙὛὛὝὝὟώᾀᾴᾶᾼιιῂῄῆῌῐΐῖΊῠῬῲῴῶῼ⃐⃜⃡⃡ΩΩKÅ℮℮ↀↂ々々〇〇〡〯〱〵ぁゔ゙゚ゝゞァヺーヾㄅㄬ一龥가힣"),mJ(tNe,dte,n),mJ(eNe,dte,Ojt(n)),xpt(n=new T0(4),bte),QPt(n,95,95),QPt(n,58,58),mJ(tNe,gte,n),mJ(eNe,gte,Ojt(n))),zz(CQ(e?tNe:eNe,t),136)}function xKt(t){XDt(t.a,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"anySimpleType"])),XDt(t.b,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"anyType",z8t,$8t])),XDt(zz(Wet(XX(t.b),0),34),j8t,Ast(Zx(Vee,1),lWt,2,6,[z8t,v9t,n7t,":mixed"])),XDt(zz(Wet(XX(t.b),1),34),j8t,Ast(Zx(Vee,1),lWt,2,6,[z8t,v9t,C9t,A9t,n7t,":1",F9t,"lax"])),XDt(zz(Wet(XX(t.b),2),34),j8t,Ast(Zx(Vee,1),lWt,2,6,[z8t,y9t,C9t,A9t,n7t,":2",F9t,"lax"])),XDt(t.c,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"anyURI",T9t,x9t])),XDt(t.d,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"base64Binary",T9t,x9t])),XDt(t.e,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,OKt,T9t,x9t])),XDt(t.f,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"boolean:Object",J8t,OKt])),XDt(t.g,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,S8t])),XDt(t.i,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"byte:Object",J8t,S8t])),XDt(t.j,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"date",T9t,x9t])),XDt(t.k,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"dateTime",T9t,x9t])),XDt(t.n,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"decimal",T9t,x9t])),XDt(t.o,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,M8t,T9t,x9t])),XDt(t.p,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"double:Object",J8t,M8t])),XDt(t.q,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"duration",T9t,x9t])),XDt(t.s,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"ENTITIES",J8t,R9t,$9t,"1"])),XDt(t.r,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,R9t,k9t,j9t])),XDt(t.t,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,j9t,J8t,z9t])),XDt(t.u,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,I8t,T9t,x9t])),XDt(t.v,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"float:Object",J8t,I8t])),XDt(t.w,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"gDay",T9t,x9t])),XDt(t.B,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"gMonth",T9t,x9t])),XDt(t.A,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"gMonthDay",T9t,x9t])),XDt(t.C,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"gYear",T9t,x9t])),XDt(t.D,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"gYearMonth",T9t,x9t])),XDt(t.F,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"hexBinary",T9t,x9t])),XDt(t.G,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"ID",J8t,z9t])),XDt(t.H,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"IDREF",J8t,z9t])),XDt(t.J,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"IDREFS",J8t,q9t,$9t,"1"])),XDt(t.I,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,q9t,k9t,"IDREF"])),XDt(t.K,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,L8t])),XDt(t.M,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,H9t])),XDt(t.L,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"int:Object",J8t,L8t])),XDt(t.P,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"language",J8t,Z9t,U9t,Y9t])),XDt(t.Q,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,D8t])),XDt(t.R,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"long:Object",J8t,D8t])),XDt(t.S,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"Name",J8t,Z9t,U9t,G9t])),XDt(t.T,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,z9t,J8t,"Name",U9t,K9t])),XDt(t.U,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"negativeInteger",J8t,W9t,X9t,"-1"])),XDt(t.V,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,V9t,J8t,Z9t,U9t,"\\c+"])),XDt(t.X,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"NMTOKENS",J8t,Q9t,$9t,"1"])),XDt(t.W,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,Q9t,k9t,V9t])),XDt(t.Y,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,J9t,J8t,H9t,tte,"0"])),XDt(t.Z,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,W9t,J8t,H9t,X9t,"0"])),XDt(t.$,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,ete,J8t,PKt,T9t,"replace"])),XDt(t._,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"NOTATION",T9t,x9t])),XDt(t.ab,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"positiveInteger",J8t,J9t,tte,"1"])),XDt(t.bb,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"processingInstruction_._type",z8t,"empty"])),XDt(zz(Wet(XX(t.bb),0),34),j8t,Ast(Zx(Vee,1),lWt,2,6,[z8t,w9t,n7t,"data"])),XDt(zz(Wet(XX(t.bb),1),34),j8t,Ast(Zx(Vee,1),lWt,2,6,[z8t,w9t,n7t,Q6t])),XDt(t.cb,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"QName",T9t,x9t])),XDt(t.db,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,O8t])),XDt(t.eb,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"short:Object",J8t,O8t])),XDt(t.fb,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"simpleAnyType",z8t,b9t])),XDt(zz(Wet(XX(t.fb),0),34),j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,":3",z8t,b9t])),XDt(zz(Wet(XX(t.fb),1),34),j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,":4",z8t,b9t])),XDt(zz(Wet(XX(t.fb),2),18),j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,":5",z8t,b9t])),XDt(t.gb,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,PKt,T9t,"preserve"])),XDt(t.hb,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"time",T9t,x9t])),XDt(t.ib,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,Z9t,J8t,ete,T9t,x9t])),XDt(t.jb,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,nte,X9t,"255",tte,"0"])),XDt(t.kb,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"unsignedByte:Object",J8t,nte])),XDt(t.lb,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,ite,X9t,"4294967295",tte,"0"])),XDt(t.mb,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"unsignedInt:Object",J8t,ite])),XDt(t.nb,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"unsignedLong",J8t,J9t,X9t,rte,tte,"0"])),XDt(t.ob,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,ate,X9t,"65535",tte,"0"])),XDt(t.pb,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"unsignedShort:Object",J8t,ate])),XDt(t.qb,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"",z8t,$8t])),XDt(zz(Wet(XX(t.qb),0),34),j8t,Ast(Zx(Vee,1),lWt,2,6,[z8t,v9t,n7t,":mixed"])),XDt(zz(Wet(XX(t.qb),1),18),j8t,Ast(Zx(Vee,1),lWt,2,6,[z8t,w9t,n7t,"xmlns:prefix"])),XDt(zz(Wet(XX(t.qb),2),18),j8t,Ast(Zx(Vee,1),lWt,2,6,[z8t,w9t,n7t,"xsi:schemaLocation"])),XDt(zz(Wet(XX(t.qb),3),34),j8t,Ast(Zx(Vee,1),lWt,2,6,[z8t,m9t,n7t,"cDATA",_9t,E9t])),XDt(zz(Wet(XX(t.qb),4),34),j8t,Ast(Zx(Vee,1),lWt,2,6,[z8t,m9t,n7t,"comment",_9t,E9t])),XDt(zz(Wet(XX(t.qb),5),18),j8t,Ast(Zx(Vee,1),lWt,2,6,[z8t,m9t,n7t,ote,_9t,E9t])),XDt(zz(Wet(XX(t.qb),6),34),j8t,Ast(Zx(Vee,1),lWt,2,6,[z8t,m9t,n7t,L6t,_9t,E9t]))}function kKt(t){return mR("_UI_EMFDiagnostic_marker",t)?"EMF Problem":mR("_UI_CircularContainment_diagnostic",t)?"An object may not circularly contain itself":mR(p7t,t)?"Wrong character.":mR(b7t,t)?"Invalid reference number.":mR(w7t,t)?"A character is required after \\.":mR(y7t,t)?"'?' is not expected.  '(?:' or '(?=' or '(?!' or '(?<' or '(?#' or '(?>'?":mR(m7t,t)?"'(?<' or '(?<!' is expected.":mR(v7t,t)?"A comment is not terminated.":mR(x7t,t)?"')' is expected.":mR(k7t,t)?"Unexpected end of the pattern in a modifier group.":mR(_7t,t)?"':' is expected.":mR(E7t,t)?"Unexpected end of the pattern in a conditional group.":mR(T7t,t)?"A back reference or an anchor or a lookahead or a look-behind is expected in a conditional pattern.":mR(C7t,t)?"There are more than three choices in a conditional group.":mR(S7t,t)?"A character in U+0040-U+005f must follow \\c.":mR(A7t,t)?"A '{' is required before a character category.":mR(M7t,t)?"A property name is not closed by '}'.":mR(I7t,t)?"Unexpected meta character.":mR(L7t,t)?"Unknown property.":mR(D7t,t)?"A POSIX character class must be closed by ':]'.":mR(O7t,t)?"Unexpected end of the pattern in a character class.":mR(N7t,t)?"Unknown name for a POSIX character class.":mR("parser.cc.4",t)?"'-' is invalid here.":mR(P7t,t)?"']' is expected.":mR(B7t,t)?"'[' is invalid in a character class.  Write '\\['.":mR(F7t,t)?"']' is invalid in a character class.  Write '\\]'.":mR(R7t,t)?"'-' is an invalid character range. Write '\\-'.":mR($7t,t)?"'[' is expected.":mR(j7t,t)?"')' or '-[' or '+[' or '&[' is expected.":mR(z7t,t)?"The range end code point is less than the start code point.":mR(q7t,t)?"Invalid Unicode hex notation.":mR(H7t,t)?"Overflow in a hex notation.":mR(Z7t,t)?"'\\x{' must be closed by '}'.":mR(U7t,t)?"Invalid Unicode code point.":mR(Y7t,t)?"An anchor must not be here.":mR(G7t,t)?"This expression is not supported in the current option setting.":mR(K7t,t)?"Invalid quantifier. A digit is expected.":mR(W7t,t)?"Invalid quantifier. Invalid quantity or a '}' is missing.":mR(X7t,t)?"Invalid quantifier. A digit or '}' is expected.":mR(V7t,t)?"Invalid quantifier. A min quantity must be <= a max quantity.":mR(Q7t,t)?"Invalid quantifier. 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Registry":mR("_UI_InvocationDelegateRegistry_extensionpoint",t)?"Operation Invocation Delegate Factory Registry":mR("_UI_EClassInterfaceNotAbstract_diagnostic",t)?"A class that is an interface must also be abstract":mR("_UI_EClassNoCircularSuperTypes_diagnostic",t)?"A class may not be a super type of itself":mR("_UI_EClassNotWellFormedMapEntryNoInstanceClassName_diagnostic",t)?"A class that inherits from a map entry class must have instance class name 'java.util.Map$Entry'":mR("_UI_EReferenceOppositeOfOppositeInconsistent_diagnostic",t)?"The opposite of the opposite may not be a reference different from this one":mR("_UI_EReferenceOppositeNotFeatureOfType_diagnostic",t)?"The opposite must be a feature of the reference's type":mR("_UI_EReferenceTransientOppositeNotTransient_diagnostic",t)?"The opposite of a transient reference must be transient if it is proxy resolving":mR("_UI_EReferenceOppositeBothContainment_diagnostic",t)?"The opposite of a containment reference must not be a containment reference":mR("_UI_EReferenceConsistentUnique_diagnostic",t)?"A containment or bidirectional reference must be unique if its upper bound is different from 1":mR("_UI_ETypedElementNoType_diagnostic",t)?"The typed element must have a type":mR("_UI_EAttributeNoDataType_diagnostic",t)?"The generic attribute type must not refer to a class":mR("_UI_EReferenceNoClass_diagnostic",t)?"The generic reference type must not refer to a data type":mR("_UI_EGenericTypeNoTypeParameterAndClassifier_diagnostic",t)?"A generic type can't refer to both a type parameter and a classifier":mR("_UI_EGenericTypeNoClass_diagnostic",t)?"A generic super type must refer to a class":mR("_UI_EGenericTypeNoTypeParameterOrClassifier_diagnostic",t)?"A generic type in this context must refer to a classifier or a type parameter":mR("_UI_EGenericTypeBoundsOnlyForTypeArgument_diagnostic",t)?"A generic type may have bounds only when used as a type 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Rw,h8((!e.d&&(e.d=new DO(WLe,e,1)),e.d),n),jIt(zz(Wet(XX(t.k),0),34),e,"key",Hte,!1,!1,!0,!1),cat(zz(Wet(XX(t.k),1),34),t.s,E6t,null,0,1,Hte,!1,!1,!0,!1,!0,!1),pW(t.o,fTe,"IProperty",!0),pW(t.s,Dte,"PropertyValue",!0),Nlt(t,x6t))}function 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processing",D1t="org.eclipse.elk.alg.layered.intermediate.compaction",O1t="org.eclipse.elk.alg.layered.intermediate.greedyswitch",N1t="org.eclipse.elk.alg.layered.p3order.counting",P1t={225:1},B1t="org.eclipse.elk.alg.layered.intermediate.loops",F1t="org.eclipse.elk.alg.layered.intermediate.loops.ordering",R1t="org.eclipse.elk.alg.layered.intermediate.loops.routing",$1t="org.eclipse.elk.alg.layered.intermediate.preserveorder",j1t="org.eclipse.elk.alg.layered.intermediate.wrapping",z1t="org.eclipse.elk.alg.layered.options",q1t="INTERACTIVE",H1t="DEPTH_FIRST",Z1t="EDGE_LENGTH",U1t="SELF_LOOPS",Y1t="firstTryWithInitialOrder",G1t="org.eclipse.elk.layered.directionCongruency",K1t="org.eclipse.elk.layered.feedbackEdges",W1t="org.eclipse.elk.layered.interactiveReferencePoint",X1t="org.eclipse.elk.layered.mergeEdges",V1t="org.eclipse.elk.layered.mergeHierarchyEdges",Q1t="org.eclipse.elk.layered.allowNonFlowPortsToSwitchSides",J1t="org.eclipse.elk.layered.portSortingStrategy",t0t="org.eclipse.elk.layered.thoroughness",e0t="org.eclipse.elk.layered.unnecessaryBendpoints",n0t="org.eclipse.elk.layered.generatePositionAndLayerIds",i0t="org.eclipse.elk.layered.cycleBreaking.strategy",r0t="org.eclipse.elk.layered.layering.strategy",a0t="org.eclipse.elk.layered.layering.layerConstraint",o0t="org.eclipse.elk.layered.layering.layerChoiceConstraint",s0t="org.eclipse.elk.layered.layering.layerId",c0t="org.eclipse.elk.layered.layering.minWidth.upperBoundOnWidth",u0t="org.eclipse.elk.layered.layering.minWidth.upperLayerEstimationScalingFactor",l0t="org.eclipse.elk.layered.layering.nodePromotion.strategy",h0t="org.eclipse.elk.layered.layering.nodePromotion.maxIterations",f0t="org.eclipse.elk.layered.layering.coffmanGraham.layerBound",d0t="org.eclipse.elk.layered.crossingMinimization.strategy",g0t="org.eclipse.elk.layered.crossingMinimization.forceNodeModelOrder",p0t="org.eclipse.elk.layered.crossingMinimization.hierarchicalSweepiness",b0t="org.eclipse.elk.layered.crossingMinimization.semiInteractive",w0t="org.eclipse.elk.layered.crossingMinimization.positionChoiceConstraint",y0t="org.eclipse.elk.layered.crossingMinimization.positionId",m0t="org.eclipse.elk.layered.crossingMinimization.greedySwitch.activationThreshold",v0t="org.eclipse.elk.layered.crossingMinimization.greedySwitch.type",x0t="org.eclipse.elk.layered.crossingMinimization.greedySwitchHierarchical.type",k0t="org.eclipse.elk.layered.nodePlacement.strategy",_0t="org.eclipse.elk.layered.nodePlacement.favorStraightEdges",E0t="org.eclipse.elk.layered.nodePlacement.bk.edgeStraightening",T0t="org.eclipse.elk.layered.nodePlacement.bk.fixedAlignment",C0t="org.eclipse.elk.layered.nodePlacement.linearSegments.deflectionDampening",S0t="org.eclipse.elk.layered.nodePlacement.networkSimplex.nodeFlexibility",A0t="org.eclipse.elk.layered.nodePlacement.networkSimplex.nodeFlexibility.default",M0t="org.eclipse.elk.layered.edgeRouting.selfLoopDistribution",I0t="org.eclipse.elk.layered.edgeRouting.selfLoopOrdering",L0t="org.eclipse.elk.layered.edgeRouting.splines.mode",D0t="org.eclipse.elk.layered.edgeRouting.splines.sloppy.layerSpacingFactor",O0t="org.eclipse.elk.layered.edgeRouting.polyline.slopedEdgeZoneWidth",N0t="org.eclipse.elk.layered.spacing.baseValue",P0t="org.eclipse.elk.layered.spacing.edgeNodeBetweenLayers",B0t="org.eclipse.elk.layered.spacing.edgeEdgeBetweenLayers",F0t="org.eclipse.elk.layered.spacing.nodeNodeBetweenLayers",R0t="org.eclipse.elk.layered.priority.direction",$0t="org.eclipse.elk.layered.priority.shortness",j0t="org.eclipse.elk.layered.priority.straightness",z0t="org.eclipse.elk.layered.compaction.connectedComponents",q0t="org.eclipse.elk.layered.compaction.postCompaction.strategy",H0t="org.eclipse.elk.layered.compaction.postCompaction.constraints",Z0t="org.eclipse.elk.layered.highDegreeNodes.treatment",U0t="org.eclipse.elk.layered.highDegreeNodes.threshold",Y0t="org.eclipse.elk.layered.highDegreeNodes.treeHeight",G0t="org.eclipse.elk.layered.wrapping.strategy",K0t="org.eclipse.elk.layered.wrapping.additionalEdgeSpacing",W0t="org.eclipse.elk.layered.wrapping.correctionFactor",X0t="org.eclipse.elk.layered.wrapping.cutting.strategy",V0t="org.eclipse.elk.layered.wrapping.cutting.cuts",Q0t="org.eclipse.elk.layered.wrapping.cutting.msd.freedom",J0t="org.eclipse.elk.layered.wrapping.validify.strategy",t2t="org.eclipse.elk.layered.wrapping.validify.forbiddenIndices",e2t="org.eclipse.elk.layered.wrapping.multiEdge.improveCuts",n2t="org.eclipse.elk.layered.wrapping.multiEdge.distancePenalty",i2t="org.eclipse.elk.layered.wrapping.multiEdge.improveWrappedEdges",r2t="org.eclipse.elk.layered.edgeLabels.sideSelection",a2t="org.eclipse.elk.layered.edgeLabels.centerLabelPlacementStrategy",o2t="org.eclipse.elk.layered.considerModelOrder.strategy",s2t="org.eclipse.elk.layered.considerModelOrder.noModelOrder",c2t="org.eclipse.elk.layered.considerModelOrder.components",u2t="org.eclipse.elk.layered.considerModelOrder.longEdgeStrategy",l2t="org.eclipse.elk.layered.considerModelOrder.crossingCounterNodeInfluence",h2t="org.eclipse.elk.layered.considerModelOrder.crossingCounterPortInfluence",f2t="layering",d2t="layering.minWidth",g2t="layering.nodePromotion",p2t="crossingMinimization",b2t="org.eclipse.elk.hierarchyHandling",w2t="crossingMinimization.greedySwitch",y2t="nodePlacement",m2t="nodePlacement.bk",v2t="edgeRouting",x2t="org.eclipse.elk.edgeRouting",k2t="spacing",_2t="priority",E2t="compaction",T2t="compaction.postCompaction",C2t="Specifies whether and how post-process compaction is applied.",S2t="highDegreeNodes",A2t="wrapping",M2t="wrapping.cutting",I2t="wrapping.validify",L2t="wrapping.multiEdge",D2t="edgeLabels",O2t="considerModelOrder",N2t="org.eclipse.elk.spacing.commentComment",P2t="org.eclipse.elk.spacing.commentNode",B2t="org.eclipse.elk.spacing.edgeEdge",F2t="org.eclipse.elk.spacing.edgeNode",R2t="org.eclipse.elk.spacing.labelLabel",$2t="org.eclipse.elk.spacing.labelPortHorizontal",j2t="org.eclipse.elk.spacing.labelPortVertical",z2t="org.eclipse.elk.spacing.labelNode",q2t="org.eclipse.elk.spacing.nodeSelfLoop",H2t="org.eclipse.elk.spacing.portPort",Z2t="org.eclipse.elk.spacing.individual",U2t="org.eclipse.elk.port.borderOffset",Y2t="org.eclipse.elk.noLayout",G2t="org.eclipse.elk.port.side",K2t="org.eclipse.elk.debugMode",W2t="org.eclipse.elk.alignment",X2t="org.eclipse.elk.insideSelfLoops.activate",V2t="org.eclipse.elk.insideSelfLoops.yo",Q2t="org.eclipse.elk.nodeSize.fixedGraphSize",J2t="org.eclipse.elk.direction",t3t="org.eclipse.elk.nodeLabels.padding",e3t="org.eclipse.elk.portLabels.nextToPortIfPossible",n3t="org.eclipse.elk.portLabels.treatAsGroup",i3t="org.eclipse.elk.portAlignment.default",r3t="org.eclipse.elk.portAlignment.north",a3t="org.eclipse.elk.portAlignment.south",o3t="org.eclipse.elk.portAlignment.west",s3t="org.eclipse.elk.portAlignment.east",c3t="org.eclipse.elk.contentAlignment",u3t="org.eclipse.elk.junctionPoints",l3t="org.eclipse.elk.edgeLabels.placement",h3t="org.eclipse.elk.port.index",f3t="org.eclipse.elk.commentBox",d3t="org.eclipse.elk.hypernode",g3t="org.eclipse.elk.port.anchor",p3t="org.eclipse.elk.partitioning.activate",b3t="org.eclipse.elk.partitioning.partition",w3t="org.eclipse.elk.position",y3t="org.eclipse.elk.margins",m3t="org.eclipse.elk.spacing.portsSurrounding",v3t="org.eclipse.elk.interactiveLayout",x3t="org.eclipse.elk.core.util",k3t={3:1,4:1,5:1,593:1},_3t="NETWORK_SIMPLEX",E3t={123:1,51:1},T3t="org.eclipse.elk.alg.layered.p1cycles",C3t="org.eclipse.elk.alg.layered.p2layers",S3t={402:1,225:1},A3t={832:1,3:1,4:1},M3t="org.eclipse.elk.alg.layered.p3order",I3t="org.eclipse.elk.alg.layered.p4nodes",L3t={3:1,4:1,5:1,840:1},D3t=1e-5,O3t="org.eclipse.elk.alg.layered.p4nodes.bk",N3t="org.eclipse.elk.alg.layered.p5edges",P3t="org.eclipse.elk.alg.layered.p5edges.orthogonal",B3t="org.eclipse.elk.alg.layered.p5edges.orthogonal.direction",F3t=1e-6,R3t="org.eclipse.elk.alg.layered.p5edges.splines",$3t=.09999999999999998,j3t=1e-8,z3t=4.71238898038469,q3t=3.141592653589793,H3t="org.eclipse.elk.alg.mrtree",Z3t="org.eclipse.elk.alg.mrtree.graph",U3t="org.eclipse.elk.alg.mrtree.intermediate",Y3t="Set neighbors in level",G3t="DESCENDANTS",K3t="org.eclipse.elk.mrtree.weighting",W3t="org.eclipse.elk.mrtree.searchOrder",X3t="org.eclipse.elk.alg.mrtree.options",V3t="org.eclipse.elk.mrtree",Q3t="org.eclipse.elk.tree",J3t="org.eclipse.elk.alg.radial",t4t=6.283185307179586,e4t=5e-324,n4t="org.eclipse.elk.alg.radial.intermediate",i4t="org.eclipse.elk.alg.radial.intermediate.compaction",r4t={3:1,4:1,5:1,106:1},a4t="org.eclipse.elk.alg.radial.intermediate.optimization",o4t="No implementation is available for the layout option ",s4t="org.eclipse.elk.alg.radial.options",c4t="org.eclipse.elk.radial.orderId",u4t="org.eclipse.elk.radial.radius",l4t="org.eclipse.elk.radial.compactor",h4t="org.eclipse.elk.radial.compactionStepSize",f4t="org.eclipse.elk.radial.sorter",d4t="org.eclipse.elk.radial.wedgeCriteria",g4t="org.eclipse.elk.radial.optimizationCriteria",p4t="org.eclipse.elk.radial",b4t="org.eclipse.elk.alg.radial.p1position.wedge",w4t="org.eclipse.elk.alg.radial.sorting",y4t=5.497787143782138,m4t=3.9269908169872414,v4t=2.356194490192345,x4t="org.eclipse.elk.alg.rectpacking",k4t="org.eclipse.elk.alg.rectpacking.firstiteration",_4t="org.eclipse.elk.alg.rectpacking.options",E4t="org.eclipse.elk.rectpacking.optimizationGoal",T4t="org.eclipse.elk.rectpacking.lastPlaceShift",C4t="org.eclipse.elk.rectpacking.currentPosition",S4t="org.eclipse.elk.rectpacking.desiredPosition",A4t="org.eclipse.elk.rectpacking.onlyFirstIteration",M4t="org.eclipse.elk.rectpacking.rowCompaction",I4t="org.eclipse.elk.rectpacking.expandToAspectRatio",L4t="org.eclipse.elk.rectpacking.targetWidth",D4t="org.eclipse.elk.expandNodes",O4t="org.eclipse.elk.rectpacking",N4t="org.eclipse.elk.alg.rectpacking.util",P4t="No implementation available for ",B4t="org.eclipse.elk.alg.spore",F4t="org.eclipse.elk.alg.spore.options",R4t="org.eclipse.elk.sporeCompaction",$4t="org.eclipse.elk.underlyingLayoutAlgorithm",j4t="org.eclipse.elk.processingOrder.treeConstruction",z4t="org.eclipse.elk.processingOrder.spanningTreeCostFunction",q4t="org.eclipse.elk.processingOrder.preferredRoot",H4t="org.eclipse.elk.processingOrder.rootSelection",Z4t="org.eclipse.elk.structure.structureExtractionStrategy",U4t="org.eclipse.elk.compaction.compactionStrategy",Y4t="org.eclipse.elk.compaction.orthogonal",G4t="org.eclipse.elk.overlapRemoval.maxIterations",K4t="org.eclipse.elk.overlapRemoval.runScanline",W4t="processingOrder",X4t="overlapRemoval",V4t="org.eclipse.elk.sporeOverlap",Q4t="org.eclipse.elk.alg.spore.p1structure",J4t="org.eclipse.elk.alg.spore.p2processingorder",t5t="org.eclipse.elk.alg.spore.p3execution",e5t="Invalid index: ",n5t="org.eclipse.elk.core.alg",i5t={331:1},r5t={288:1},a5t="Make sure its type is registered with the ",o5t=" utility class.",s5t="true",c5t="false",u5t="Couldn't clone property '",l5t=.05,h5t="org.eclipse.elk.core.options",f5t=1.2999999523162842,d5t="org.eclipse.elk.box",g5t="org.eclipse.elk.box.packingMode",p5t="org.eclipse.elk.algorithm",b5t="org.eclipse.elk.resolvedAlgorithm",w5t="org.eclipse.elk.bendPoints",y5t="org.eclipse.elk.labelManager",m5t="org.eclipse.elk.scaleFactor",v5t="org.eclipse.elk.animate",x5t="org.eclipse.elk.animTimeFactor",k5t="org.eclipse.elk.layoutAncestors",_5t="org.eclipse.elk.maxAnimTime",E5t="org.eclipse.elk.minAnimTime",T5t="org.eclipse.elk.progressBar",C5t="org.eclipse.elk.validateGraph",S5t="org.eclipse.elk.validateOptions",A5t="org.eclipse.elk.zoomToFit",M5t="org.eclipse.elk.font.name",I5t="org.eclipse.elk.font.size",L5t="org.eclipse.elk.edge.type",D5t="partitioning",O5t="nodeLabels",N5t="portAlignment",P5t="nodeSize",B5t="port",F5t="portLabels",R5t="insideSelfLoops",$5t="org.eclipse.elk.fixed",j5t="org.eclipse.elk.random",z5t="port must have a parent node to calculate the port side",q5t="The edge needs to have exactly one edge section. Found: ",H5t="org.eclipse.elk.core.util.adapters",Z5t="org.eclipse.emf.ecore",U5t="org.eclipse.elk.graph",Y5t="EMapPropertyHolder",G5t="ElkBendPoint",K5t="ElkGraphElement",W5t="ElkConnectableShape",X5t="ElkEdge",V5t="ElkEdgeSection",Q5t="EModelElement",J5t="ENamedElement",t6t="ElkLabel",e6t="ElkNode",n6t="ElkPort",i6t={92:1,90:1},r6t="org.eclipse.emf.common.notify.impl",a6t="The feature '",o6t="' is not a valid changeable feature",s6t="Expecting null",c6t="' is not a valid feature",u6t="The feature ID",l6t=" is not a valid feature ID",h6t=32768,f6t={105:1,92:1,90:1,56:1,49:1,97:1},d6t="org.eclipse.emf.ecore.impl",g6t="org.eclipse.elk.graph.impl",p6t="Recursive containment not allowed for ",b6t="The datatype '",w6t="' is not a valid classifier",y6t="The value '",m6t={190:1,3:1,4:1},v6t="The class '",x6t="http://www.eclipse.org/elk/ElkGraph",k6t=1024,_6t="property",E6t="value",T6t="source",C6t="properties",S6t="identifier",A6t="height",M6t="width",I6t="parent",L6t="text",D6t="children",O6t="hierarchical",N6t="sources",P6t="targets",B6t="sections",F6t="bendPoints",R6t="outgoingShape",$6t="incomingShape",j6t="outgoingSections",z6t="incomingSections",q6t="org.eclipse.emf.common.util",H6t="Severe implementation error in the Json to ElkGraph importer.",Z6t="id",U6t="org.eclipse.elk.graph.json",Y6t="Unhandled parameter types: ",G6t="startPoint",K6t="An edge must have at least one source and one target (edge id: '",W6t="').",X6t="Referenced edge section does not exist: ",V6t=" (edge id: '",Q6t="target",J6t="sourcePoint",t7t="targetPoint",e7t="group",n7t="name",i7t="connectableShape cannot be null",r7t="edge cannot be null",a7t="Passed edge is not 'simple'.",o7t="org.eclipse.elk.graph.util",s7t="The 'no duplicates' constraint is violated",c7t="targetIndex=",u7t=", size=",l7t="sourceIndex=",h7t={3:1,4:1,20:1,28:1,52:1,14:1,15:1,54:1,67:1,63:1,58:1},f7t={3:1,4:1,20:1,28:1,52:1,14:1,47:1,15:1,54:1,67:1,63:1,58:1,588:1},d7t="logging",g7t="measureExecutionTime",p7t="parser.parse.1",b7t="parser.parse.2",w7t="parser.next.1",y7t="parser.next.2",m7t="parser.next.3",v7t="parser.next.4",x7t="parser.factor.1",k7t="parser.factor.2",_7t="parser.factor.3",E7t="parser.factor.4",T7t="parser.factor.5",C7t="parser.factor.6",S7t="parser.atom.1",A7t="parser.atom.2",M7t="parser.atom.3",I7t="parser.atom.4",L7t="parser.atom.5",D7t="parser.cc.1",O7t="parser.cc.2",N7t="parser.cc.3",P7t="parser.cc.5",B7t="parser.cc.6",F7t="parser.cc.7",R7t="parser.cc.8",$7t="parser.ope.1",j7t="parser.ope.2",z7t="parser.ope.3",q7t="parser.descape.1",H7t="parser.descape.2",Z7t="parser.descape.3",U7t="parser.descape.4",Y7t="parser.descape.5",G7t="parser.process.1",K7t="parser.quantifier.1",W7t="parser.quantifier.2",X7t="parser.quantifier.3",V7t="parser.quantifier.4",Q7t="parser.quantifier.5",J7t="org.eclipse.emf.common.notify",t8t={415:1,672:1},e8t={3:1,4:1,20:1,28:1,52:1,14:1,15:1,67:1,58:1},n8t={366:1,143:1},i8t="index=",r8t={3:1,4:1,5:1,126:1},a8t={3:1,4:1,20:1,28:1,52:1,14:1,15:1,54:1,67:1,58:1},o8t={3:1,6:1,4:1,5:1,192:1},s8t={3:1,4:1,5:1,165:1,367:1},c8t=";/?:@&=+$,",u8t="invalid 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The differences to the non-hierarchical case (see 'greedySwitch.type') are: 1) greedy switch is inactive by default, 3) only the option value set on the node at which hierarchical layout starts is relevant, and 2) if it's activated by the user, it properly addresses hierarchy-crossing edges."),lde),bTe),Mhe),edt(lTe)))),o2(t,x0t,d0t,hde),o2(t,x0t,b2t,fde),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,k0t),y2t),"Node Placement Strategy"),"Strategy for node placement."),Oge),bTe),Lye),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,_0t),y2t),"Favor Straight Edges Over Balancing"),"Favor straight edges over a balanced node placement. The default behavior is determined automatically based on the used 'edgeRouting'. For an orthogonal style it is set to true, for all other styles to false."),gTe),kee),edt(lTe)))),o2(t,_0t,k0t,_ge),o2(t,_0t,k0t,Ege),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,E0t),m2t),"BK Edge Straightening"),"Specifies whether the Brandes Koepf node placer tries to increase the number of straight edges at the expense of diagram size. There is a subtle difference to the 'favorStraightEdges' option, which decides whether a balanced placement of the nodes is desired, or not. In bk terms this means combining the four alignments into a single balanced one, or not. This option on the other hand tries to straighten additional edges during the creation of each of the four alignments."),wge),bTe),Jle),edt(lTe)))),o2(t,E0t,k0t,yge),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,T0t),m2t),"BK Fixed Alignment"),"Tells the BK node placer to use a certain alignment (out of its four) instead of the one producing the smallest height, or the combination of all four."),vge),bTe),she),edt(lTe)))),o2(t,T0t,k0t,xge),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,C0t),"nodePlacement.linearSegments"),"Linear Segments Deflection Dampening"),"Dampens the movement of nodes to keep the diagram from getting too large."),.3),pTe),Aee),edt(lTe)))),o2(t,C0t,k0t,Cge),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,S0t),"nodePlacement.networkSimplex"),"Node Flexibility"),"Aims at shorter and straighter edges. Two configurations are possible: (a) allow ports to move freely on the side they are assigned to (the order is always defined beforehand), (b) additionally allow to enlarge a node wherever it helps. If this option is not configured for a node, the 'nodeFlexibility.default' value is used, which is specified for the node's parent."),bTe),xye),edt(uTe)))),o2(t,S0t,k0t,Lge),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,A0t),"nodePlacement.networkSimplex.nodeFlexibility"),"Node Flexibility Default"),"Default value of the 'nodeFlexibility' option for the children of a hierarchical node."),Mge),bTe),xye),edt(lTe)))),o2(t,A0t,k0t,Ige),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,M0t),v2t),"Self-Loop Distribution"),"Alter the distribution of the loops around the node. It only takes effect for PortConstraints.FREE."),Pde),bTe),tme),edt(uTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,I0t),v2t),"Self-Loop Ordering"),"Alter the ordering of the loops they can either be stacked or sequenced. It only takes effect for PortConstraints.FREE."),Fde),bTe),ame),edt(uTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,L0t),"edgeRouting.splines"),"Spline Routing Mode"),"Specifies the way control points are assembled for each individual edge. CONSERVATIVE ensures that edges are properly routed around the nodes but feels rather orthogonal at times. SLOPPY uses fewer control points to obtain curvier edge routes but may result in edges overlapping nodes."),$de),bTe),lme),edt(lTe)))),o2(t,L0t,x2t,jde),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,D0t),"edgeRouting.splines.sloppy"),"Sloppy Spline Layer Spacing Factor"),"Spacing factor for routing area between layers when using sloppy spline routing."),.2),pTe),Aee),edt(lTe)))),o2(t,D0t,x2t,qde),o2(t,D0t,L0t,Hde),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,O0t),"edgeRouting.polyline"),"Sloped Edge Zone Width"),"Width of the strip to the left and to the right of each layer where the polyline edge router is allowed to refrain from ensuring that edges are routed horizontally. This prevents awkward bend points for nodes that extent almost to the edge of their layer."),2),pTe),Aee),edt(lTe)))),o2(t,O0t,x2t,Ode),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,N0t),k2t),"Spacing Base Value"),"An optional base value for all other layout options of the 'spacing' group. It can be used to conveniently alter the overall 'spaciousness' of the drawing. Whenever an explicit value is set for the other layout options, this base value will have no effect. The base value is not inherited, i.e. it must be set for each hierarchical node."),pTe),Aee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,P0t),k2t),"Edge Node Between Layers Spacing"),"The spacing to be preserved between nodes and edges that are routed next to the node's layer. For the spacing between nodes and edges that cross the node's layer 'spacing.edgeNode' is used."),10),pTe),Aee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,B0t),k2t),"Edge Edge Between Layer Spacing"),"Spacing to be preserved between pairs of edges that are routed between the same pair of layers. Note that 'spacing.edgeEdge' is used for the spacing between pairs of edges crossing the same layer."),10),pTe),Aee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,F0t),k2t),"Node Node Between Layers Spacing"),"The spacing to be preserved between any pair of nodes of two adjacent layers. Note that 'spacing.nodeNode' is used for the spacing between nodes within the layer itself."),20),pTe),Aee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,R0t),_2t),"Direction Priority"),"Defines how important it is to have a certain edge point into the direction of the overall layout. This option is evaluated during the cycle breaking phase."),rft(0)),yTe),Dee),edt(sTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,$0t),_2t),"Shortness Priority"),"Defines how important it is to keep an edge as short as possible. This option is evaluated during the layering phase."),rft(0)),yTe),Dee),edt(sTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,j0t),_2t),"Straightness Priority"),"Defines how important it is to keep an edge straight, i.e. aligned with one of the two axes. This option is evaluated during node placement."),rft(0)),yTe),Dee),edt(sTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,z0t),E2t),FQt),"Tries to further compact components (disconnected sub-graphs)."),!1),gTe),kee),edt(lTe)))),o2(t,z0t,kJt,!0),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,q0t),T2t),"Post Compaction Strategy"),C2t),Vfe),bTe),mhe),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,H0t),T2t),"Post Compaction Constraint Calculation"),C2t),Wfe),bTe),fle),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,Z0t),S2t),"High Degree Node Treatment"),"Makes room around high degree nodes to place leafs and trees."),!1),gTe),kee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,U0t),S2t),"High Degree Node Threshold"),"Whether a node is considered to have a high degree."),rft(16)),yTe),Dee),edt(lTe)))),o2(t,U0t,Z0t,!0),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,Y0t),S2t),"High Degree Node Maximum Tree Height"),"Maximum height of a subtree connected to a high degree node to be moved to separate layers."),rft(5)),yTe),Dee),edt(lTe)))),o2(t,Y0t,Z0t,!0),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,G0t),A2t),"Graph Wrapping Strategy"),"For certain graphs and certain prescribed drawing areas it may be desirable to split the laid out graph into chunks that are placed side by side. The edges that connect different chunks are 'wrapped' around from the end of one chunk to the start of the other chunk. The points between the chunks are referred to as 'cuts'."),dpe),bTe),Cme),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,K0t),A2t),"Additional Wrapped Edges Spacing"),"To visually separate edges that are wrapped from regularly routed edges an additional spacing value can be specified in form of this layout option. The spacing is added to the regular edgeNode spacing."),10),pTe),Aee),edt(lTe)))),o2(t,K0t,G0t,Yge),o2(t,K0t,G0t,Gge),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,W0t),A2t),"Correction Factor for Wrapping"),"At times and for certain types of graphs the executed wrapping may produce results that are consistently biased in the same fashion: either wrapping to often or to rarely. This factor can be used to correct the bias. Internally, it is simply multiplied with the 'aspect ratio' layout option."),1),pTe),Aee),edt(lTe)))),o2(t,W0t,G0t,Wge),o2(t,W0t,G0t,Xge),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,X0t),M2t),"Cutting Strategy"),"The strategy by which the layer indexes are determined at which the layering crumbles into chunks."),ipe),bTe),Ele),edt(lTe)))),o2(t,X0t,G0t,rpe),o2(t,X0t,G0t,ape),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,V0t),M2t),"Manually Specified Cuts"),"Allows the user to specify her own cuts for a certain graph."),mTe),Rte),edt(lTe)))),o2(t,V0t,X0t,Qge),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,Q0t),"wrapping.cutting.msd"),"MSD Freedom"),"The MSD cutting strategy starts with an initial guess on the number of chunks the graph should be split into. The freedom specifies how much the strategy may deviate from this guess. E.g. if an initial number of 3 is computed, a freedom of 1 allows 2, 3, and 4 cuts."),tpe),yTe),Dee),edt(lTe)))),o2(t,Q0t,X0t,epe),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,J0t),I2t),"Validification Strategy"),"When wrapping graphs, one can specify indices that are not allowed as split points. The validification strategy makes sure every computed split point is allowed."),ype),bTe),pme),edt(lTe)))),o2(t,J0t,G0t,mpe),o2(t,J0t,G0t,vpe),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,t2t),I2t),"Valid Indices for Wrapping"),null),mTe),Rte),edt(lTe)))),o2(t,t2t,G0t,ppe),o2(t,t2t,G0t,bpe),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,e2t),L2t),"Improve Cuts"),"For general graphs it is important that not too many edges wrap backwards. Thus a compromise between evenly-distributed cuts and the total number of cut edges is sought."),!0),gTe),kee),edt(lTe)))),o2(t,e2t,G0t,upe),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,n2t),L2t),"Distance Penalty When Improving Cuts"),null),2),pTe),Aee),edt(lTe)))),o2(t,n2t,G0t,spe),o2(t,n2t,e2t,!0),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,i2t),L2t),"Improve Wrapped Edges"),"The initial wrapping is performed in a very simple way. As a consequence, edges that wrap from one chunk to another may be unnecessarily long. Activating this option tries to shorten such edges."),!0),gTe),kee),edt(lTe)))),o2(t,i2t,G0t,hpe),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,r2t),D2t),"Edge Label Side Selection"),"Method to decide on edge label sides."),Lde),bTe),Ule),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,a2t),D2t),"Edge Center Label Placement Strategy"),"Determines in which layer center labels of long edges should be placed."),Mde),bTe),sle),_Z(lTe,Ast(Zx(kTe,1),OWt,175,0,[cTe]))))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,o2t),O2t),"Consider Model Order"),"Preserves the order of nodes and edges in the model file if this does not lead to additional edge crossings. Depending on the strategy this is not always possible since the node and edge order might be conflicting."),ode),bTe),jye),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,s2t),O2t),"No Model Order"),"Set on a node to not set a model order for this node even though it is a real node."),!1),gTe),kee),edt(uTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,c2t),O2t),"Consider Model Order for Components"),"If set to NONE the usual ordering strategy (by cumulative node priority and size of nodes) is used. INSIDE_PORT_SIDES orders the components with external ports only inside the groups with the same port side. FORCE_MODEL_ORDER enforces the mode order on components. This option might produce bad alignments and sub optimal drawings in terms of used area since the ordering should be respected."),Jfe),bTe),mse),edt(lTe)))),o2(t,c2t,kJt,null),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,u2t),O2t),"Long Edge Ordering Strategy"),"Indicates whether long edges are sorted under, over, or equal to nodes that have no connection to a previous layer in a left-to-right or right-to-left layout. Under and over changes to right and left in a vertical layout."),ide),bTe),gye),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,l2t),O2t),"Crossing Counter Node Order Influence"),"Indicates with what percentage (1 for 100%) violations of the node model order are weighted against the crossings e.g. a value of 0.5 means two model order violations are as important as on edge crossing. This allows some edge crossings in favor of preserving the model order. It is advised to set this value to a very small positive value (e.g. 0.001) to have minimal crossing and a optimal node order. Defaults to no influence (0)."),0),pTe),Aee),edt(lTe)))),o2(t,l2t,o2t,null),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,h2t),O2t),"Crossing Counter Port Order Influence"),"Indicates with what percentage (1 for 100%) violations of the port model order are weighted against the crossings e.g. a value of 0.5 means two model order violations are as important as on edge crossing. This allows some edge crossings in favor of preserving the model order. It is advised to set this value to a very small positive value (e.g. 0.001) to have minimal crossing and a optimal port order. Defaults to no influence (0)."),0),pTe),Aee),edt(lTe)))),o2(t,h2t,o2t,null),mKt((new fh,t))},yG(z1t,"LayeredMetaDataProvider",848),pLt(986,1,VVt,fh),CKt.Qe=function(t){mKt(t)},yG(z1t,"LayeredOptions",986),pLt(987,1,{},Aa),CKt.$e=function(){return new Yy},CKt._e=function(t){},yG(z1t,"LayeredOptions/LayeredFactory",987),pLt(1372,1,{}),CKt.a=0,yG(x3t,"ElkSpacings/AbstractSpacingsBuilder",1372),pLt(779,1372,{},cgt),yG(z1t,"LayeredSpacings/LayeredSpacingsBuilder",779),pLt(313,22,{3:1,35:1,22:1,313:1,246:1,234:1},FS),CKt.Kf=function(){return aOt(this)},CKt.Xf=function(){return aOt(this)};var rye,aye,oye,sye,cye=qnt(z1t,"LayeringStrategy",313,Gte,n8,fj);pLt(378,22,{3:1,35:1,22:1,378:1},RS);var uye,lye,hye,fye,dye,gye=qnt(z1t,"LongEdgeOrderingStrategy",378,Gte,_1,dj);pLt(197,22,{3:1,35:1,22:1,197:1},$S);var pye,bye,wye,yye,mye,vye,xye=qnt(z1t,"NodeFlexibility",197,Gte,x3,gj);pLt(315,22,{3:1,35:1,22:1,315:1,246:1,234:1},jS),CKt.Kf=function(){return FLt(this)},CKt.Xf=function(){return 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If the root node is set to `INHERIT` (or not set at all), the default behavior is `SEPARATE_CHILDREN`."),ECe),bTe),CAe),_Z(lTe,Ast(Zx(kTe,1),OWt,175,0,[uTe]))))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,VQt),""),"Padding"),"The padding to be left to a parent element's border when placing child elements. This can also serve as an output option of a layout algorithm if node size calculation is setup appropriately."),KCe),mTe),$se),_Z(lTe,Ast(Zx(kTe,1),OWt,175,0,[uTe]))))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,_Jt),""),"Interactive"),"Whether the algorithm should be run in interactive mode for the content of a parent node. What this means exactly depends on how the specific algorithm interprets this option. 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Yet, if any unforeseen behavior occurs, this option allows to deactivate the micro layout."),!1),gTe),kee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,EJt),""),"Port Constraints"),"Defines constraints of the position of the ports of a node."),cSe),bTe),oMe),edt(uTe)))),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,w3t),""),"Position"),"The position of a node, port, or label. This is used by the 'Fixed Layout' algorithm to specify a pre-defined position."),mTe),STe),_Z(uTe,Ast(Zx(kTe,1),OWt,175,0,[hTe,cTe]))))),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,yJt),""),"Priority"),"Defines the priority of an object; its meaning depends on the specific layout algorithm and the context where it is used."),yTe),Dee),_Z(uTe,Ast(Zx(kTe,1),OWt,175,0,[sTe]))))),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,xJt),""),"Randomization Seed"),"Seed used for pseudo-random number generators to control the layout algorithm. If the value is 0, the seed shall be determined pseudo-randomly (e.g. from the system time)."),yTe),Dee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,kJt),""),"Separate Connected Components"),"Whether each connected component should be processed separately."),gTe),kee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,u3t),""),"Junction Points"),"This option is not used as option, but as output of the layout algorithms. It is attached to edges and determines the points where junction symbols should be drawn in order to represent hyperedges with orthogonal routing. Whether such points are computed depends on the chosen layout algorithm and edge routing style. The points are put into the vector chain with no specific order."),LCe),mTe),NTe),edt(sTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,f3t),""),"Comment Box"),"Whether the node should be regarded as a comment box instead of a regular node. In that case its placement should be similar to how labels are handled. Any edges incident to a comment box specify to which graph elements the comment is related."),!1),gTe),kee),edt(uTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,d3t),""),"Hypernode"),"Whether the node should be handled as a hypernode."),!1),gTe),kee),edt(uTe)))),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,y5t),""),"Label Manager"),"Label managers can shorten labels upon a layout algorithm's request."),mTe),RNe),_Z(lTe,Ast(Zx(kTe,1),OWt,175,0,[cTe]))))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,y3t),""),"Margins"),"Margins define additional space around the actual bounds of a graph element. For instance, ports or labels being placed on the outside of a node's border might introduce such a margin. The margin is used to guarantee non-overlap of other graph elements with those ports or labels."),OCe),mTe),_se),edt(uTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,Y2t),""),"No Layout"),"No layout is done for the associated element. This is used to mark parts of a diagram to avoid their inclusion in the layout graph, or to mark parts of the layout graph to prevent layout engines from processing them. If you wish to exclude the contents of a compound node from automatic layout, while the node itself is still considered on its own layer, use the 'Fixed Layout' algorithm for that node."),!1),gTe),kee),_Z(uTe,Ast(Zx(kTe,1),OWt,175,0,[sTe,hTe,cTe]))))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,m5t),""),"Scale Factor"),"The scaling factor to be applied to the corresponding node in recursive layout. It causes the corresponding node's size to be adjusted, and its ports and labels to be sized and placed accordingly after the layout of that node has been determined (and before the node itself and its siblings are arranged). The scaling is not reverted afterwards, so the resulting layout graph contains the adjusted size and position data. This option is currently not supported if 'Layout Hierarchy' is set."),1),pTe),Aee),edt(uTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,v5t),""),"Animate"),"Whether the shift from the old layout to the new computed layout shall be animated."),!0),gTe),kee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,x5t),""),"Animation Time Factor"),"Factor for computation of animation time. The higher the value, the longer the animation time. If the value is 0, the resulting time is always equal to the minimum defined by 'Minimal Animation Time'."),rft(100)),yTe),Dee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,k5t),""),"Layout Ancestors"),"Whether the hierarchy levels on the path from the selected element to the root of the diagram shall be included in the layout process."),!1),gTe),kee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,_5t),""),"Maximal Animation Time"),"The maximal time for animations, in milliseconds."),rft(4e3)),yTe),Dee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,E5t),""),"Minimal Animation Time"),"The minimal time for animations, in milliseconds."),rft(400)),yTe),Dee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,T5t),""),"Progress Bar"),"Whether a progress bar shall be displayed during layout computations."),!1),gTe),kee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,C5t),""),"Validate Graph"),"Whether the graph shall be validated before any layout algorithm is applied. If this option is enabled and at least one error is found, the layout process is aborted and a message is shown to the user."),!1),gTe),kee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,S5t),""),"Validate Options"),"Whether layout options shall be validated before any layout algorithm is applied. If this option is enabled and at least one error is found, the layout process is aborted and a message is shown to the user."),!0),gTe),kee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,A5t),""),"Zoom to Fit"),"Whether the zoom level shall be set to view the whole diagram after layout."),!1),gTe),kee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,g5t),"box"),"Box Layout Mode"),"Configures the packing mode used by the {@link BoxLayoutProvider}. If SIMPLE is not required (neither priorities are used nor the interactive mode), GROUP_DEC can improve the packing and decrease the area. GROUP_MIXED and GROUP_INC may, in very specific scenarios, work better."),cCe),bTe),aIe),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,N2t),k2t),"Comment Comment Spacing"),"Spacing to be preserved between a comment box and other comment boxes connected to the same node. The space left between comment boxes of different nodes is controlled by the node-node spacing."),10),pTe),Aee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,P2t),k2t),"Comment Node Spacing"),"Spacing to be preserved between a node and its connected comment boxes. The space left between a node and the comments of another node is controlled by the node-node spacing."),10),pTe),Aee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,KQt),k2t),"Components Spacing"),"Spacing to be preserved between pairs of connected components. This option is only relevant if 'separateConnectedComponents' is activated."),20),pTe),Aee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,B2t),k2t),"Edge Spacing"),"Spacing to be preserved between any two edges. Note that while this can somewhat easily be satisfied for the segments of orthogonally drawn edges, it is harder for general polylines or splines."),10),pTe),Aee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,vJt),k2t),"Edge Label Spacing"),"The minimal distance to be preserved between a label and the edge it is associated with. Note that the placement of a label is influenced by the 'edgelabels.placement' option."),2),pTe),Aee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,F2t),k2t),"Edge Node Spacing"),"Spacing to be preserved between nodes and edges."),10),pTe),Aee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,R2t),k2t),"Label Spacing"),"Determines the amount of space to be left between two labels of the same graph element."),0),pTe),Aee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,z2t),k2t),"Label Node Spacing"),"Spacing to be preserved between labels and the border of node they are associated with. Note that the placement of a label is influenced by the 'nodelabels.placement' option."),5),pTe),Aee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,$2t),k2t),"Horizontal spacing between Label and Port"),"Horizontal spacing to be preserved between labels and the ports they are associated with. Note that the placement of a label is influenced by the 'portlabels.placement' option."),1),pTe),Aee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,j2t),k2t),"Vertical spacing between Label and Port"),"Vertical spacing to be preserved between labels and the ports they are associated with. Note that the placement of a label is influenced by the 'portlabels.placement' option."),1),pTe),Aee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,mJt),k2t),"Node Spacing"),"The minimal distance to be preserved between each two nodes."),20),pTe),Aee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,q2t),k2t),"Node Self Loop Spacing"),"Spacing to be preserved between a node and its self loops."),10),pTe),Aee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,H2t),k2t),"Port Spacing"),"Spacing between pairs of ports of the same node."),10),pTe),Aee),_Z(lTe,Ast(Zx(kTe,1),OWt,175,0,[uTe]))))),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,Z2t),k2t),"Individual Spacing"),"Allows to specify individual spacing values for graph elements that shall be different from the value specified for the element's parent."),mTe),lIe),_Z(uTe,Ast(Zx(kTe,1),OWt,175,0,[sTe,hTe,cTe]))))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,m3t),k2t),"Additional Port Space"),"Additional space around the sets of ports on each node side. For each side of a node, this option can reserve additional space before and after the ports on each side. For example, a top spacing of 20 makes sure that the first port on the western and eastern side is 20 units away from the northern border."),BSe),mTe),_se),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,b3t),D5t),"Layout Partition"),"Partition to which the node belongs. This requires Layout Partitioning to be active. Nodes with lower partition IDs will appear to the left of nodes with higher partition IDs (assuming a left-to-right layout direction)."),yTe),Dee),_Z(lTe,Ast(Zx(kTe,1),OWt,175,0,[uTe]))))),o2(t,b3t,p3t,QCe),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,p3t),D5t),"Layout Partitioning"),"Whether to activate partitioned layout. This will allow to group nodes through the Layout Partition option. a pair of nodes with different partition indices is then placed such that the node with lower index is placed to the left of the other node (with left-to-right layout direction). Depending on the layout algorithm, this may only be guaranteed to work if all nodes have a layout partition configured, or at least if edges that cross partitions are not part of a partition-crossing cycle."),XCe),gTe),kee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,t3t),O5t),"Node Label Padding"),"Define padding for node labels that are placed inside of a node."),PCe),mTe),$se),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,MJt),O5t),"Node Label Placement"),"Hints for where node labels are to be placed; if empty, the node label's position is not modified."),FCe),wTe),ZAe),_Z(uTe,Ast(Zx(kTe,1),OWt,175,0,[cTe]))))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,i3t),N5t),"Port Alignment"),"Defines the default port distribution for a node. May be overridden for each side individually."),tSe),bTe),QAe),edt(uTe)))),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,r3t),N5t),"Port Alignment (North)"),"Defines how ports on the northern side are placed, overriding the node's general port alignment."),bTe),QAe),edt(uTe)))),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,a3t),N5t),"Port Alignment (South)"),"Defines how ports on the southern side are placed, overriding the node's general port alignment."),bTe),QAe),edt(uTe)))),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,o3t),N5t),"Port Alignment (West)"),"Defines how ports on the western side are placed, overriding the node's general port alignment."),bTe),QAe),edt(uTe)))),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,s3t),N5t),"Port Alignment (East)"),"Defines how ports on the eastern side are placed, overriding the node's general port alignment."),bTe),QAe),edt(uTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,AJt),P5t),"Node Size Constraints"),"What should be taken into account when calculating a node's size. Empty size constraints specify that a node's size is already fixed and should not be changed."),$Ce),wTe),VMe),edt(uTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,SJt),P5t),"Node Size Options"),"Options modifying the behavior of the size constraints set on a node. Each member of the set specifies something that should be taken into account when calculating node sizes. The empty set corresponds to no further modifications."),ZCe),wTe),iIe),edt(uTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,qJt),P5t),"Node Size Minimum"),"The minimal size to which a node can be reduced."),qCe),mTe),STe),edt(uTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,Q2t),P5t),"Fixed Graph Size"),"By default, the fixed layout provider will enlarge a graph until it is large enough to contain its children. If this option is set, it won't do so."),!1),gTe),kee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,l3t),D2t),"Edge Label Placement"),"Gives a hint on where to put edge labels."),wCe),bTe),tAe),edt(cTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,TJt),D2t),"Inline Edge Labels"),"If true, an edge label is placed directly on its edge. May only apply to center edge labels. This kind of label placement is only advisable if the label's rendering is such that it is not crossed by its edge and thus stays legible."),!1),gTe),kee),edt(cTe)))),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,M5t),"font"),"Font Name"),"Font name used for a label."),vTe),Vee),edt(cTe)))),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,I5t),"font"),"Font Size"),"Font size used for a label."),yTe),Dee),edt(cTe)))),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,g3t),B5t),"Port Anchor Offset"),"The offset to the port position where connections shall be attached."),mTe),STe),edt(hTe)))),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,h3t),B5t),"Port Index"),"The index of a port in the fixed order around a node. The order is assumed as clockwise, starting with the leftmost port on the top side. This option must be set if 'Port Constraints' is set to FIXED_ORDER and no specific positions are given for the ports. Additionally, the option 'Port Side' must be defined in this case."),yTe),Dee),edt(hTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,G2t),B5t),"Port Side"),"The side of a node on which a port is situated. This option must be set if 'Port Constraints' is set to FIXED_SIDE or FIXED_ORDER and no specific positions are given for the ports."),pSe),bTe),jMe),edt(hTe)))),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,U2t),B5t),"Port Border Offset"),"The offset of ports on the node border. With a positive offset the port is moved outside of the node, while with a negative offset the port is moved towards the inside. An offset of 0 means that the port is placed directly on the node border, i.e. if the port side is north, the port's south border touches the nodes's north border; if the port side is east, the port's west border touches the nodes's east border; if the port side is south, the port's north border touches the node's south border; if the port side is west, the port's east border touches the node's west border."),pTe),Aee),edt(hTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,IJt),F5t),"Port Label Placement"),"Decides on a placement method for port labels; if empty, the node label's position is not modified."),fSe),wTe),MMe),edt(uTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,e3t),F5t),"Port Labels Next to Port"),"Use 'portLabels.placement': NEXT_TO_PORT_OF_POSSIBLE."),!1),gTe),kee),edt(uTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,n3t),F5t),"Treat Port Labels as Group"),"If this option is true (default), the labels of a port will be treated as a group when it comes to centering them next to their port. If this option is false, only the first label will be centered next to the port, with the others being placed below. This only applies to labels of eastern and western ports and will have no effect if labels are not placed next to their port."),!0),gTe),kee),edt(uTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,X2t),R5t),"Activate Inside Self Loops"),"Whether this node allows to route self loops inside of it instead of around it. If set to true, this will make the node a compound node if it isn't already, and will require the layout algorithm to support compound nodes with hierarchical ports."),!1),gTe),kee),edt(uTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,V2t),R5t),"Inside Self Loop"),"Whether a self loop should be routed inside a node instead of around that node."),!1),gTe),kee),edt(sTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,WQt),"edge"),"Edge Thickness"),"The thickness of an edge. This is a hint on the line width used to draw an edge, possibly requiring more space to be reserved for it."),1),pTe),Aee),edt(sTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,L5t),"edge"),"Edge Type"),"The type of an edge. This is usually used for UML class diagrams, where associations must be handled differently from generalizations."),xCe),bTe),vAe),edt(sTe)))),PT(t,new YJ(vk(kk(xk(new ys,p1t),"Layered"),'The layer-based method was introduced by Sugiyama, Tagawa and Toda in 1981. It emphasizes the direction of edges by pointing as many edges as possible into the same direction. The nodes are arranged in layers, which are sometimes called "hierarchies", and then reordered such that the number of edge crossings is minimized. Afterwards, concrete coordinates are computed for the nodes and edge bend points.'))),PT(t,new YJ(vk(kk(xk(new ys,"org.eclipse.elk.orthogonal"),"Orthogonal"),'Orthogonal methods that follow the "topology-shape-metrics" approach by Batini, Nardelli and Tamassia \'86. The first phase determines the topology of the drawing by applying a planarization technique, which results in a planar representation of the graph. The orthogonal shape is computed in the second phase, which aims at minimizing the number of edge bends, and is called orthogonalization. The third phase leads to concrete coordinates for nodes and edge bend points by applying a compaction method, thus defining the metrics.'))),PT(t,new YJ(vk(kk(xk(new ys,wJt),"Force"),"Layout algorithms that follow physical analogies by simulating a system of attractive and repulsive forces. 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Ilt(this,null);case 9:return void((e=HEt(this,null,null))&&e.Fi());case 10:return void Dft(this,!0);case 11:return void Pft(this,!1);case 12:return void Oft(this,!1);case 13:return this.i=null,void srt(this,null);case 15:return void Nft(this,!1);case 16:return void Zft(this,!1)}Zht(this,t-dG(this.zh()),iet(zz(xot(this,16),26)||this.zh(),t))},CKt.Gh=function(){xW(z9((ISt(),JDe),this)),Ixt(this),this.Bb|=1},CKt.Gj=function(){return this.f},CKt.zj=function(){return ZOt(this)},CKt.Hj=function(){return pJ(this)},CKt.Lj=function(){return null},CKt.pk=function(){return this.k},CKt.aj=function(){return this.n},CKt.Mj=function(){return u_t(this)},CKt.Nj=function(){var t,e,n,i,r,a,o,s,c;return this.p||((null==(n=pJ(this)).i&&Zjt(n),n.i).length,(i=this.Lj())&&dG(pJ(i)),t=(o=(r=Ixt(this)).Bj())?0!=(1&o.i)?o==DNe?kee:o==LNe?Dee:o==BNe?Mee:o==PNe?Aee:o==ONe?Ree:o==FNe?jee:o==NNe?Tee:See:o:null,e=ZOt(this),s=r.zj(),gdt(this),0!=(this.Bb&hWt)&&((a=vkt((ISt(),JDe),n))&&a!=this||(a=J1(z9(JDe,this))))?this.p=new LM(this,a):this.$j()?this.rk()?i?0!=(this.Bb&T8t)?t?this.sk()?this.p=new fX(47,t,this,i):this.p=new fX(5,t,this,i):this.sk()?this.p=new g4(46,this,i):this.p=new g4(4,this,i):t?this.sk()?this.p=new fX(49,t,this,i):this.p=new fX(7,t,this,i):this.sk()?this.p=new g4(48,this,i):this.p=new g4(6,this,i):0!=(this.Bb&T8t)?t?t==Hte?this.p=new Sz(50,WIe,this):this.sk()?this.p=new Sz(43,t,this):this.p=new Sz(1,t,this):this.sk()?this.p=new FV(42,this):this.p=new FV(0,this):t?t==Hte?this.p=new Sz(41,WIe,this):this.sk()?this.p=new Sz(45,t,this):this.p=new Sz(3,t,this):this.sk()?this.p=new FV(44,this):this.p=new FV(2,this):aO(r,148)?t==DDe?this.p=new FV(40,this):0!=(512&this.Bb)?0!=(this.Bb&T8t)?this.p=t?new Sz(9,t,this):new FV(8,this):this.p=t?new Sz(11,t,this):new FV(10,this):0!=(this.Bb&T8t)?this.p=t?new Sz(13,t,this):new FV(12,this):this.p=t?new Sz(15,t,this):new FV(14,this):i?(c=i.t)>1||-1==c?this.sk()?0!=(this.Bb&T8t)?this.p=t?new fX(25,t,this,i):new g4(24,this,i):this.p=t?new fX(27,t,this,i):new g4(26,this,i):0!=(this.Bb&T8t)?this.p=t?new fX(29,t,this,i):new g4(28,this,i):this.p=t?new fX(31,t,this,i):new g4(30,this,i):this.sk()?0!=(this.Bb&T8t)?this.p=t?new fX(33,t,this,i):new g4(32,this,i):this.p=t?new fX(35,t,this,i):new g4(34,this,i):0!=(this.Bb&T8t)?this.p=t?new fX(37,t,this,i):new g4(36,this,i):this.p=t?new fX(39,t,this,i):new g4(38,this,i):this.sk()?0!=(this.Bb&T8t)?this.p=t?new Sz(17,t,this):new FV(16,this):this.p=t?new Sz(19,t,this):new FV(18,this):0!=(this.Bb&T8t)?this.p=t?new Sz(21,t,this):new FV(20,this):this.p=t?new Sz(23,t,this):new FV(22,this):this.qk()?this.sk()?this.p=new Az(zz(r,26),this,i):this.p=new mQ(zz(r,26),this,i):aO(r,148)?t==DDe?this.p=new FV(40,this):0!=(this.Bb&T8t)?this.p=t?new tU(e,s,this,(qgt(),o==LNe?HDe:o==DNe?RDe:o==ONe?ZDe:o==BNe?qDe:o==PNe?zDe:o==FNe?YDe:o==NNe?$De:o==INe?jDe:UDe)):new pX(zz(r,148),e,s,this):this.p=t?new JZ(e,s,this,(qgt(),o==LNe?HDe:o==DNe?RDe:o==ONe?ZDe:o==BNe?qDe:o==PNe?zDe:o==FNe?YDe:o==NNe?$De:o==INe?jDe:UDe)):new gX(zz(r,148),e,s,this):this.rk()?i?0!=(this.Bb&T8t)?this.sk()?this.p=new Nz(zz(r,26),this,i):this.p=new Oz(zz(r,26),this,i):this.sk()?this.p=new Dz(zz(r,26),this,i):this.p=new Mz(zz(r,26),this,i):0!=(this.Bb&T8t)?this.sk()?this.p=new nB(zz(r,26),this):this.p=new eB(zz(r,26),this):this.sk()?this.p=new tB(zz(r,26),this):this.p=new JP(zz(r,26),this):this.sk()?i?0!=(this.Bb&T8t)?this.p=new Pz(zz(r,26),this,i):this.p=new Iz(zz(r,26),this,i):0!=(this.Bb&T8t)?this.p=new rB(zz(r,26),this):this.p=new iB(zz(r,26),this):i?0!=(this.Bb&T8t)?this.p=new Bz(zz(r,26),this,i):this.p=new Lz(zz(r,26),this,i):0!=(this.Bb&T8t)?this.p=new aB(zz(r,26),this):this.p=new aZ(zz(r,26),this)),this.p},CKt.Ij=function(){return 0!=(this.Bb&k6t)},CKt.qk=function(){return!1},CKt.rk=function(){return!1},CKt.Jj=function(){return 0!=(this.Bb&hWt)},CKt.Oj=function(){return ltt(this)},CKt.sk=function(){return!1},CKt.Kj=function(){return 0!=(this.Bb&T8t)},CKt.tk=function(t){this.k=t},CKt.Lh=function(t){QJ(this,t)},CKt.Ib=function(){return EFt(this)},CKt.e=!1,CKt.n=0,yG(d6t,"EStructuralFeatureImpl",449),pLt(322,449,{105:1,92:1,90:1,34:1,147:1,191:1,56:1,170:1,66:1,108:1,472:1,49:1,97:1,322:1,150:1,449:1,284:1,114:1,115:1,677:1},Im),CKt._g=function(t,e,n){switch(t){case 0:return!this.Ab&&(this.Ab=new nY(RLe,this,0,3)),this.Ab;case 1:return this.zb;case 2:return lN(),0!=(256&this.Bb);case 3:return lN(),0!=(512&this.Bb);case 4:return rft(this.s);case 5:return rft(this.t);case 6:return lN(),!!PMt(this);case 7:return lN(),this.s>=1;case 8:return e?Ixt(this):this.r;case 9:return this.q;case 10:return lN(),0!=(this.Bb&k6t);case 11:return lN(),0!=(this.Bb&C8t);case 12:return lN(),0!=(this.Bb&jXt);case 13:return this.j;case 14:return ZOt(this);case 15:return lN(),0!=(this.Bb&T8t);case 16:return lN(),0!=(this.Bb&hWt);case 17:return pJ(this);case 18:return lN(),0!=(this.Bb&h6t);case 19:return e?cst(this):P6(this)}return Y8(this,t-dG((wKt(),iDe)),iet(zz(xot(this,16),26)||iDe,t),e,n)},CKt.lh=function(t){switch(t){case 0:return!!this.Ab&&0!=this.Ab.i;case 1:return null!=this.zb;case 2:return 0==(256&this.Bb);case 3:return 0==(512&this.Bb);case 4:return 0!=this.s;case 5:return 1!=this.t;case 6:return PMt(this);case 7:return this.s>=1;case 8:return!!this.r&&!this.q.e&&0==vK(this.q).i;case 9:return!(!this.q||this.r&&!this.q.e&&0==vK(this.q).i);case 10:return 0==(this.Bb&k6t);case 11:return 0!=(this.Bb&C8t);case 12:return 0!=(this.Bb&jXt);case 13:return null!=this.j;case 14:return null!=ZOt(this);case 15:return 0!=(this.Bb&T8t);case 16:return 0!=(this.Bb&hWt);case 17:return!!pJ(this);case 18:return 0!=(this.Bb&h6t);case 19:return!!P6(this)}return I3(this,t-dG((wKt(),iDe)),iet(zz(xot(this,16),26)||iDe,t))},CKt.sh=function(t,e){var n;switch(t){case 0:return!this.Ab&&(this.Ab=new nY(RLe,this,0,3)),lHt(this.Ab),!this.Ab&&(this.Ab=new nY(RLe,this,0,3)),void wG(this.Ab,zz(e,14));case 1:return void QJ(this,CB(e));case 2:return void Qht(this,Hv(EB(e)));case 3:return void eft(this,Hv(EB(e)));case 4:return void Nnt(this,zz(e,19).a);case 5:return void Yk(this,zz(e,19).a);case 8:return void Ilt(this,zz(e,138));case 9:return void((n=HEt(this,zz(e,87),null))&&n.Fi());case 10:return void Dft(this,Hv(EB(e)));case 11:return void Pft(this,Hv(EB(e)));case 12:return void Oft(this,Hv(EB(e)));case 13:return void $M(this,CB(e));case 15:return void Nft(this,Hv(EB(e)));case 16:return void Zft(this,Hv(EB(e)));case 18:return void Uft(this,Hv(EB(e)))}Ndt(this,t-dG((wKt(),iDe)),iet(zz(xot(this,16),26)||iDe,t),e)},CKt.zh=function(){return wKt(),iDe},CKt.Bh=function(t){var e;switch(t){case 0:return!this.Ab&&(this.Ab=new nY(RLe,this,0,3)),void lHt(this.Ab);case 1:return aO(this.Cb,88)&&DAt(S5(zz(this.Cb,88)),4),void Prt(this,null);case 2:return void Qht(this,!0);case 3:return void eft(this,!0);case 4:return void Nnt(this,0);case 5:return this.b=0,void Pnt(this,1);case 8:return void Ilt(this,null);case 9:return void((e=HEt(this,null,null))&&e.Fi());case 10:return void Dft(this,!0);case 11:return void Pft(this,!1);case 12:return void Oft(this,!1);case 13:return this.i=null,void srt(this,null);case 15:return void Nft(this,!1);case 16:return void Zft(this,!1);case 18:return void Uft(this,!1)}Zht(this,t-dG((wKt(),iDe)),iet(zz(xot(this,16),26)||iDe,t))},CKt.Gh=function(){cst(this),xW(z9((ISt(),JDe),this)),Ixt(this),this.Bb|=1},CKt.$j=function(){return PMt(this)},CKt.nk=function(t,e){return this.b=0,this.a=null,Aht(this,t,e)},CKt.ok=function(t){Yk(this,t)},CKt.Ib=function(){var t;return 0!=(64&this.Db)?EFt(this):((t=new hN(EFt(this))).a+=" (iD: ",v_(t,0!=(this.Bb&h6t)),t.a+=")",t.a)},CKt.b=0,yG(d6t,"EAttributeImpl",322),pLt(351,438,{105:1,92:1,90:1,138:1,147:1,191:1,56:1,108:1,49:1,97:1,351:1,150:1,114:1,115:1,676:1}),CKt.uk=function(t){return t.Tg()==this},CKt.Qg=function(t){return fvt(this,t)},CKt.Rg=function(t,e){this.w=null,this.Db=e<<16|255&this.Db,this.Cb=t},CKt._g=function(t,e,n){switch(t){case 0:return!this.Ab&&(this.Ab=new nY(RLe,this,0,3)),this.Ab;case 1:return this.zb;case 2:return null!=this.D?this.D:this.B;case 3:return rvt(this);case 4:return this.zj();case 5:return this.F;case 6:return e?Get(this):gJ(this);case 7:return!this.A&&(this.A=new NO(IDe,this,7)),this.A}return Y8(this,t-dG(this.zh()),iet(zz(xot(this,16),26)||this.zh(),t),e,n)},CKt.hh=function(t,e,n){var i;switch(e){case 0:return!this.Ab&&(this.Ab=new nY(RLe,this,0,3)),Qgt(this.Ab,t,n);case 6:return this.Cb&&(n=(i=this.Db>>16)>=0?fvt(this,n):this.Cb.ih(this,-1-i,null,n)),T$t(this,t,6,n)}return zz(iet(zz(xot(this,16),26)||this.zh(),e),66).Nj().Qj(this,fbt(this),e-dG(this.zh()),t,n)},CKt.jh=function(t,e,n){switch(e){case 0:return!this.Ab&&(this.Ab=new nY(RLe,this,0,3)),jwt(this.Ab,t,n);case 6:return T$t(this,null,6,n);case 7:return!this.A&&(this.A=new NO(IDe,this,7)),jwt(this.A,t,n)}return zz(iet(zz(xot(this,16),26)||this.zh(),e),66).Nj().Rj(this,fbt(this),e-dG(this.zh()),t,n)},CKt.lh=function(t){switch(t){case 0:return!!this.Ab&&0!=this.Ab.i;case 1:return null!=this.zb;case 2:return null!=this.D&&this.D==this.F;case 3:return!!rvt(this);case 4:return null!=this.zj();case 5:return null!=this.F&&this.F!=this.D&&this.F!=this.B;case 6:return!!gJ(this);case 7:return!!this.A&&0!=this.A.i}return I3(this,t-dG(this.zh()),iet(zz(xot(this,16),26)||this.zh(),t))},CKt.sh=function(t,e){switch(t){case 0:return!this.Ab&&(this.Ab=new nY(RLe,this,0,3)),lHt(this.Ab),!this.Ab&&(this.Ab=new nY(RLe,this,0,3)),void wG(this.Ab,zz(e,14));case 1:return void JJ(this,CB(e));case 2:return void ML(this,CB(e));case 5:return void QHt(this,CB(e));case 7:return!this.A&&(this.A=new NO(IDe,this,7)),lHt(this.A),!this.A&&(this.A=new NO(IDe,this,7)),void wG(this.A,zz(e,14))}Ndt(this,t-dG(this.zh()),iet(zz(xot(this,16),26)||this.zh(),t),e)},CKt.zh=function(){return wKt(),aDe},CKt.Bh=function(t){switch(t){case 0:return!this.Ab&&(this.Ab=new nY(RLe,this,0,3)),void lHt(this.Ab);case 1:return aO(this.Cb,179)&&(zz(this.Cb,179).tb=null),void Prt(this,null);case 2:return Fut(this,null),void Bnt(this,this.D);case 5:return void QHt(this,null);case 7:return!this.A&&(this.A=new NO(IDe,this,7)),void lHt(this.A)}Zht(this,t-dG(this.zh()),iet(zz(xot(this,16),26)||this.zh(),t))},CKt.yj=function(){var t;return-1==this.G&&(this.G=(t=Get(this))?cyt(t.Mh(),this):-1),this.G},CKt.zj=function(){return null},CKt.Aj=function(){return Get(this)},CKt.vk=function(){return this.v},CKt.Bj=function(){return rvt(this)},CKt.Cj=function(){return null!=this.D?this.D:this.B},CKt.Dj=function(){return this.F},CKt.wj=function(t){return Sjt(this,t)},CKt.wk=function(t){this.v=t},CKt.xk=function(t){Grt(this,t)},CKt.yk=function(t){this.C=t},CKt.Lh=function(t){JJ(this,t)},CKt.Ib=function(){return Mgt(this)},CKt.C=null,CKt.D=null,CKt.G=-1,yG(d6t,"EClassifierImpl",351),pLt(88,351,{105:1,92:1,90:1,26:1,138:1,147:1,191:1,56:1,108:1,49:1,97:1,88:1,351:1,150:1,473:1,114:1,115:1,676:1},Rh),CKt.uk=function(t){return XF(this,t.Tg())},CKt._g=function(t,e,n){switch(t){case 0:return!this.Ab&&(this.Ab=new nY(RLe,this,0,3)),this.Ab;case 1:return this.zb;case 2:return null!=this.D?this.D:this.B;case 3:return rvt(this);case 4:return null;case 5:return this.F;case 6:return e?Get(this):gJ(this);case 7:return!this.A&&(this.A=new NO(IDe,this,7)),this.A;case 8:return lN(),0!=(256&this.Bb);case 9:return lN(),0!=(512&this.Bb);case 10:return xV(this);case 11:return!this.q&&(this.q=new nY(XLe,this,11,10)),this.q;case 12:return Qzt(this);case 13:return Rzt(this);case 14:return Rzt(this),this.r;case 15:return 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Fh),this.k).ck(),t))},yG(P9t,"SimpleAnyTypeImpl",668),pLt(669,506,{105:1,92:1,90:1,56:1,49:1,97:1,2023:1,669:1},Rm),CKt._g=function(t,e,n){switch(t){case 0:return n?(!this.a&&(this.a=new Eat(this,0)),this.a):(!this.a&&(this.a=new Eat(this,0)),this.a.b);case 1:return n?(!this.b&&(this.b=new v8((wKt(),xDe),GDe,this,1)),this.b):(!this.b&&(this.b=new v8((wKt(),xDe),GDe,this,1)),L7(this.b));case 2:return n?(!this.c&&(this.c=new v8((wKt(),xDe),GDe,this,2)),this.c):(!this.c&&(this.c=new v8((wKt(),xDe),GDe,this,2)),L7(this.c));case 3:return!this.a&&(this.a=new Eat(this,0)),t1(this.a,(GHt(),BOe));case 4:return!this.a&&(this.a=new Eat(this,0)),t1(this.a,(GHt(),FOe));case 5:return!this.a&&(this.a=new Eat(this,0)),t1(this.a,(GHt(),$Oe));case 6:return!this.a&&(this.a=new Eat(this,0)),t1(this.a,(GHt(),jOe))}return Y8(this,t-dG((GHt(),POe)),iet(0==(2&this.j)?POe:(!this.k&&(this.k=new Fh),this.k).ck(),t),e,n)},CKt.jh=function(t,e,n){switch(e){case 0:return!this.a&&(this.a=new Eat(this,0)),TRt(this.a,t,n);case 1:return!this.b&&(this.b=new v8((wKt(),xDe),GDe,this,1)),zR(this.b,t,n);case 2:return!this.c&&(this.c=new v8((wKt(),xDe),GDe,this,2)),zR(this.c,t,n);case 5:return!this.a&&(this.a=new Eat(this,0)),eF(t1(this.a,(GHt(),$Oe)),t,n)}return zz(iet(0==(2&this.j)?(GHt(),POe):(!this.k&&(this.k=new Fh),this.k).ck(),e),66).Nj().Rj(this,X9(this),e-dG((GHt(),POe)),t,n)},CKt.lh=function(t){switch(t){case 0:return!!this.a&&0!=this.a.i;case 1:return!!this.b&&0!=this.b.f;case 2:return!!this.c&&0!=this.c.f;case 3:return!this.a&&(this.a=new Eat(this,0)),!qM(t1(this.a,(GHt(),BOe)));case 4:return!this.a&&(this.a=new Eat(this,0)),!qM(t1(this.a,(GHt(),FOe)));case 5:return!this.a&&(this.a=new Eat(this,0)),!qM(t1(this.a,(GHt(),$Oe)));case 6:return!this.a&&(this.a=new Eat(this,0)),!qM(t1(this.a,(GHt(),jOe)))}return I3(this,t-dG((GHt(),POe)),iet(0==(2&this.j)?POe:(!this.k&&(this.k=new Fh),this.k).ck(),t))},CKt.sh=function(t,e){switch(t){case 0:return!this.a&&(this.a=new Eat(this,0)),void eG(this.a,e);case 1:return!this.b&&(this.b=new v8((wKt(),xDe),GDe,this,1)),void not(this.b,e);case 2:return!this.c&&(this.c=new v8((wKt(),xDe),GDe,this,2)),void not(this.c,e);case 3:return!this.a&&(this.a=new Eat(this,0)),Ny(t1(this.a,(GHt(),BOe))),!this.a&&(this.a=new Eat(this,0)),void JD(t1(this.a,BOe),zz(e,14));case 4:return!this.a&&(this.a=new Eat(this,0)),Ny(t1(this.a,(GHt(),FOe))),!this.a&&(this.a=new Eat(this,0)),void JD(t1(this.a,FOe),zz(e,14));case 5:return!this.a&&(this.a=new Eat(this,0)),Ny(t1(this.a,(GHt(),$Oe))),!this.a&&(this.a=new Eat(this,0)),void JD(t1(this.a,$Oe),zz(e,14));case 6:return!this.a&&(this.a=new Eat(this,0)),Ny(t1(this.a,(GHt(),jOe))),!this.a&&(this.a=new Eat(this,0)),void JD(t1(this.a,jOe),zz(e,14))}Ndt(this,t-dG((GHt(),POe)),iet(0==(2&this.j)?POe:(!this.k&&(this.k=new Fh),this.k).ck(),t),e)},CKt.zh=function(){return GHt(),POe},CKt.Bh=function(t){switch(t){case 0:return!this.a&&(this.a=new Eat(this,0)),void lHt(this.a);case 1:return!this.b&&(this.b=new v8((wKt(),xDe),GDe,this,1)),void this.b.c.$b();case 2:return!this.c&&(this.c=new v8((wKt(),xDe),GDe,this,2)),void this.c.c.$b();case 3:return!this.a&&(this.a=new Eat(this,0)),void Ny(t1(this.a,(GHt(),BOe)));case 4:return!this.a&&(this.a=new Eat(this,0)),void Ny(t1(this.a,(GHt(),FOe)));case 5:return!this.a&&(this.a=new Eat(this,0)),void Ny(t1(this.a,(GHt(),$Oe)));case 6:return!this.a&&(this.a=new Eat(this,0)),void Ny(t1(this.a,(GHt(),jOe)))}Zht(this,t-dG((GHt(),POe)),iet(0==(2&this.j)?POe:(!this.k&&(this.k=new Fh),this.k).ck(),t))},CKt.Ib=function(){var t;return 0!=(4&this.j)?ADt(this):((t=new hN(ADt(this))).a+=" (mixed: ",rI(t,this.a),t.a+=")",t.a)},yG(P9t,"XMLTypeDocumentRootImpl",669),pLt(1919,704,{105:1,92:1,90:1,471:1,147:1,56:1,108:1,49:1,97:1,150:1,114:1,115:1,2024:1},Bu),CKt.Ih=function(t,e){switch(t.yj()){case 7:case 8:case 9:case 10:case 16:case 22:case 23:case 24:case 25:case 26:case 32:case 33:case 34:case 36:case 37:case 44:case 45:case 50:case 51:case 53:case 55:case 56:case 57:case 58:case 60:case 61:case 4:return null==e?null:qdt(e);case 19:case 28:case 29:case 35:case 38:case 39:case 41:case 46:case 52:case 54:case 5:return CB(e);case 6:return mB(zz(e,190));case 12:case 47:case 49:case 11:return ZZt(this,t,e);case 13:return null==e?null:Uzt(zz(e,240));case 15:case 14:return null==e?null:FY(Zv(TB(e)));case 17:return E_t((GHt(),e));case 18:return E_t(e);case 21:case 20:return null==e?null:RY(zz(e,155).a);case 27:return vB(zz(e,190));case 30:return jmt((GHt(),zz(e,15)));case 31:return jmt(zz(e,15));case 40:return kB((GHt(),e));case 42:return T_t((GHt(),e));case 43:return T_t(e);case 59:case 48:return xB((GHt(),e));default:throw qw(new $v(b6t+t.ne()+w6t))}},CKt.Jh=function(t){var e;switch(-1==t.G&&(t.G=(e=Get(t))?cyt(e.Mh(),t):-1),t.G){case 0:return new Fm;case 1:return new Fu;case 2:return new $m;case 3:return new Rm;default:throw qw(new $v(v6t+t.zb+w6t))}},CKt.Kh=function(t,e){var n,i,r,a,o,s,c,u,l,h,f,d,g,p,b,w;switch(t.yj()){case 5:case 52:case 4:return e;case 6:return xwt(e);case 8:case 7:return null==e?null:j_t(e);case 9:return null==e?null:Stt(d$t((i=zzt(e,!0)).length>0&&(d1(0,i.length),43==i.charCodeAt(0))?i.substr(1):i,-128,127)<<24>>24);case 10:return null==e?null:Stt(d$t((r=zzt(e,!0)).length>0&&(d1(0,r.length),43==r.charCodeAt(0))?r.substr(1):r,-128,127)<<24>>24);case 11:return CB(BGt(this,(GHt(),xOe),e));case 12:return CB(BGt(this,(GHt(),kOe),e));case 13:return null==e?null:new g_(zzt(e,!0));case 15:case 14:return wOt(e);case 16:return CB(BGt(this,(GHt(),_Oe),e));case 17:return Hpt((GHt(),e));case 18:return Hpt(e);case 28:case 29:case 35:case 38:case 39:case 41:case 54:case 19:return zzt(e,!0);case 21:case 20:return IOt(e);case 22:return CB(BGt(this,(GHt(),EOe),e));case 23:return CB(BGt(this,(GHt(),TOe),e));case 24:return CB(BGt(this,(GHt(),COe),e));case 25:return CB(BGt(this,(GHt(),SOe),e));case 26:return CB(BGt(this,(GHt(),AOe),e));case 27:return twt(e);case 30:return Zpt((GHt(),e));case 31:return Zpt(e);case 32:return null==e?null:rft(d$t((l=zzt(e,!0)).length>0&&(d1(0,l.length),43==l.charCodeAt(0))?l.substr(1):l,jWt,FKt));case 33:return null==e?null:new DL((h=zzt(e,!0)).length>0&&(d1(0,h.length),43==h.charCodeAt(0))?h.substr(1):h);case 34:return null==e?null:rft(d$t((f=zzt(e,!0)).length>0&&(d1(0,f.length),43==f.charCodeAt(0))?f.substr(1):f,jWt,FKt));case 36:return null==e?null:_bt(aYt((d=zzt(e,!0)).length>0&&(d1(0,d.length),43==d.charCodeAt(0))?d.substr(1):d));case 37:return null==e?null:_bt(aYt((g=zzt(e,!0)).length>0&&(d1(0,g.length),43==g.charCodeAt(0))?g.substr(1):g));case 40:return Xgt((GHt(),e));case 42:return Upt((GHt(),e));case 43:return Upt(e);case 44:return null==e?null:new DL((p=zzt(e,!0)).length>0&&(d1(0,p.length),43==p.charCodeAt(0))?p.substr(1):p);case 45:return null==e?null:new DL((b=zzt(e,!0)).length>0&&(d1(0,b.length),43==b.charCodeAt(0))?b.substr(1):b);case 46:return zzt(e,!1);case 47:return CB(BGt(this,(GHt(),MOe),e));case 59:case 48:return Wgt((GHt(),e));case 49:return CB(BGt(this,(GHt(),LOe),e));case 50:return null==e?null:aft(d$t((w=zzt(e,!0)).length>0&&(d1(0,w.length),43==w.charCodeAt(0))?w.substr(1):w,V8t,32767)<<16>>16);case 51:return null==e?null:aft(d$t((a=zzt(e,!0)).length>0&&(d1(0,a.length),43==a.charCodeAt(0))?a.substr(1):a,V8t,32767)<<16>>16);case 53:return CB(BGt(this,(GHt(),NOe),e));case 55:return null==e?null:aft(d$t((o=zzt(e,!0)).length>0&&(d1(0,o.length),43==o.charCodeAt(0))?o.substr(1):o,V8t,32767)<<16>>16);case 56:return null==e?null:aft(d$t((s=zzt(e,!0)).length>0&&(d1(0,s.length),43==s.charCodeAt(0))?s.substr(1):s,V8t,32767)<<16>>16);case 57:return null==e?null:_bt(aYt((c=zzt(e,!0)).length>0&&(d1(0,c.length),43==c.charCodeAt(0))?c.substr(1):c));case 58:return null==e?null:_bt(aYt((u=zzt(e,!0)).length>0&&(d1(0,u.length),43==u.charCodeAt(0))?u.substr(1):u));case 60:return null==e?null:rft(d$t((n=zzt(e,!0)).length>0&&(d1(0,n.length),43==n.charCodeAt(0))?n.substr(1):n,jWt,FKt));case 61:return null==e?null:rft(d$t(zzt(e,!0),jWt,FKt));default:throw qw(new $v(b6t+t.ne()+w6t))}},yG(P9t,"XMLTypeFactoryImpl",1919),pLt(586,179,{105:1,92:1,90:1,147:1,191:1,56:1,235:1,108:1,49:1,97:1,150:1,179:1,114:1,115:1,675:1,1945:1,586:1},UK),CKt.N=!1,CKt.O=!1;var KOe,WOe,XOe,VOe,QOe,JOe=!1;yG(P9t,"XMLTypePackageImpl",586),pLt(1852,1,{837:1},Ru),CKt._j=function(){return fjt(),ENe},yG(P9t,"XMLTypePackageImpl/1",1852),pLt(1861,1,l9t,$u),CKt.wj=function(t){return GM(t)},CKt.xj=function(t){return P7(Vee,lWt,2,t,6,1)},yG(P9t,"XMLTypePackageImpl/10",1861),pLt(1862,1,l9t,ju),CKt.wj=function(t){return GM(t)},CKt.xj=function(t){return P7(Vee,lWt,2,t,6,1)},yG(P9t,"XMLTypePackageImpl/11",1862),pLt(1863,1,l9t,zu),CKt.wj=function(t){return GM(t)},CKt.xj=function(t){return P7(Vee,lWt,2,t,6,1)},yG(P9t,"XMLTypePackageImpl/12",1863),pLt(1864,1,l9t,qu),CKt.wj=function(t){return YM(t)},CKt.xj=function(t){return P7(Aee,lWt,333,t,7,1)},yG(P9t,"XMLTypePackageImpl/13",1864),pLt(1865,1,l9t,Hu),CKt.wj=function(t){return GM(t)},CKt.xj=function(t){return P7(Vee,lWt,2,t,6,1)},yG(P9t,"XMLTypePackageImpl/14",1865),pLt(1866,1,l9t,Zu),CKt.wj=function(t){return aO(t,15)},CKt.xj=function(t){return P7(Rte,eJt,15,t,0,1)},yG(P9t,"XMLTypePackageImpl/15",1866),pLt(1867,1,l9t,Uu),CKt.wj=function(t){return aO(t,15)},CKt.xj=function(t){return P7(Rte,eJt,15,t,0,1)},yG(P9t,"XMLTypePackageImpl/16",1867),pLt(1868,1,l9t,Yu),CKt.wj=function(t){return GM(t)},CKt.xj=function(t){return P7(Vee,lWt,2,t,6,1)},yG(P9t,"XMLTypePackageImpl/17",1868),pLt(1869,1,l9t,Gu),CKt.wj=function(t){return aO(t,155)},CKt.xj=function(t){return P7(Mee,lWt,155,t,0,1)},yG(P9t,"XMLTypePackageImpl/18",1869),pLt(1870,1,l9t,Ku),CKt.wj=function(t){return GM(t)},CKt.xj=function(t){return P7(Vee,lWt,2,t,6,1)},yG(P9t,"XMLTypePackageImpl/19",1870),pLt(1853,1,l9t,Wu),CKt.wj=function(t){return 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source!";e.push(i)}})),e},u.prototype.getEdgesBetween=function(t){var e=[],n=this;return n.edges.forEach((function(i){if(i.source!=n&&i.target!=n)throw"Incorrect edge source and/or target";i.target!=t&&i.source!=t||e.push(i)})),e},u.prototype.getNeighborsList=function(){var t=new Set,e=this;return e.edges.forEach((function(n){if(n.source==e)t.add(n.target);else{if(n.target!=e)throw"Incorrect incidency!";t.add(n.source)}})),t},u.prototype.withChildren=function(){var t=new Set;if(t.add(this),null!=this.child)for(var e=this.child.getNodes(),n=0;n<e.length;n++)e[n].withChildren().forEach((function(e){t.add(e)}));return t},u.prototype.getNoOfChildren=function(){var t=0;if(null==this.child)t=1;else for(var e=this.child.getNodes(),n=0;n<e.length;n++)t+=e[n].getNoOfChildren();return 0==t&&(t=1),t},u.prototype.getEstimatedSize=function(){if(this.estimatedSize==r.MIN_VALUE)throw"assert failed";return this.estimatedSize},u.prototype.calcEstimatedSize=function(){return null==this.child?this.estimatedSize=(this.rect.width+this.rect.height)/2:(this.estimatedSize=this.child.calcEstimatedSize(),this.rect.width=this.estimatedSize,this.rect.height=this.estimatedSize,this.estimatedSize)},u.prototype.scatter=function(){var t,e,n=-o.INITIAL_WORLD_BOUNDARY,i=o.INITIAL_WORLD_BOUNDARY;t=o.WORLD_CENTER_X+s.nextDouble()*(i-n)+n;var r=-o.INITIAL_WORLD_BOUNDARY,a=o.INITIAL_WORLD_BOUNDARY;e=o.WORLD_CENTER_Y+s.nextDouble()*(a-r)+r,this.rect.x=t,this.rect.y=e},u.prototype.updateBounds=function(){if(null==this.getChild())throw"assert failed";if(0!=this.getChild().getNodes().length){var t=this.getChild();if(t.updateBounds(!0),this.rect.x=t.getLeft(),this.rect.y=t.getTop(),this.setWidth(t.getRight()-t.getLeft()),this.setHeight(t.getBottom()-t.getTop()),o.NODE_DIMENSIONS_INCLUDE_LABELS){var e=t.getRight()-t.getLeft(),n=t.getBottom()-t.getTop();this.labelWidth>e&&(this.rect.x-=(this.labelWidth-e)/2,this.setWidth(this.labelWidth)),this.labelHeight>n&&("center"==this.labelPos?this.rect.y-=(this.labelHeight-n)/2:"top"==this.labelPos&&(this.rect.y-=this.labelHeight-n),this.setHeight(this.labelHeight))}}},u.prototype.getInclusionTreeDepth=function(){if(this.inclusionTreeDepth==r.MAX_VALUE)throw"assert failed";return this.inclusionTreeDepth},u.prototype.transform=function(t){var e=this.rect.x;e>o.WORLD_BOUNDARY?e=o.WORLD_BOUNDARY:e<-o.WORLD_BOUNDARY&&(e=-o.WORLD_BOUNDARY);var n=this.rect.y;n>o.WORLD_BOUNDARY?n=o.WORLD_BOUNDARY:n<-o.WORLD_BOUNDARY&&(n=-o.WORLD_BOUNDARY);var i=new c(e,n),r=t.inverseTransformPoint(i);this.setLocation(r.x,r.y)},u.prototype.getLeft=function(){return this.rect.x},u.prototype.getRight=function(){return this.rect.x+this.rect.width},u.prototype.getTop=function(){return this.rect.y},u.prototype.getBottom=function(){return this.rect.y+this.rect.height},u.prototype.getParent=function(){return null==this.owner?null:this.owner.getParent()},t.exports=u},function(t,e,n){"use strict";function i(t,e){null==t&&null==e?(this.x=0,this.y=0):(this.x=t,this.y=e)}i.prototype.getX=function(){return this.x},i.prototype.getY=function(){return this.y},i.prototype.setX=function(t){this.x=t},i.prototype.setY=function(t){this.y=t},i.prototype.getDifference=function(t){return new DimensionD(this.x-t.x,this.y-t.y)},i.prototype.getCopy=function(){return new i(this.x,this.y)},i.prototype.translate=function(t){return this.x+=t.width,this.y+=t.height,this},t.exports=i},function(t,e,n){"use strict";var i=n(2),r=n(10),a=n(0),o=n(6),s=n(3),c=n(1),u=n(13),l=n(12),h=n(11);function f(t,e,n){i.call(this,n),this.estimatedSize=r.MIN_VALUE,this.margin=a.DEFAULT_GRAPH_MARGIN,this.edges=[],this.nodes=[],this.isConnected=!1,this.parent=t,null!=e&&e instanceof o?this.graphManager=e:null!=e&&e instanceof Layout&&(this.graphManager=e.graphManager)}for(var d in f.prototype=Object.create(i.prototype),i)f[d]=i[d];f.prototype.getNodes=function(){return this.nodes},f.prototype.getEdges=function(){return this.edges},f.prototype.getGraphManager=function(){return this.graphManager},f.prototype.getParent=function(){return this.parent},f.prototype.getLeft=function(){return this.left},f.prototype.getRight=function(){return this.right},f.prototype.getTop=function(){return this.top},f.prototype.getBottom=function(){return this.bottom},f.prototype.isConnected=function(){return this.isConnected},f.prototype.add=function(t,e,n){if(null==e&&null==n){var i=t;if(null==this.graphManager)throw"Graph has no graph mgr!";if(this.getNodes().indexOf(i)>-1)throw"Node already in graph!";return i.owner=this,this.getNodes().push(i),i}var r=t;if(!(this.getNodes().indexOf(e)>-1&&this.getNodes().indexOf(n)>-1))throw"Source or target not in graph!";if(e.owner!=n.owner||e.owner!=this)throw"Both owners must be this graph!";return e.owner!=n.owner?null:(r.source=e,r.target=n,r.isInterGraph=!1,this.getEdges().push(r),e.edges.push(r),n!=e&&n.edges.push(r),r)},f.prototype.remove=function(t){var e=t;if(t instanceof s){if(null==e)throw"Node is null!";if(null==e.owner||e.owner!=this)throw"Owner graph is invalid!";if(null==this.graphManager)throw"Owner graph manager is invalid!";for(var n=e.edges.slice(),i=n.length,r=0;r<i;r++)(a=n[r]).isInterGraph?this.graphManager.remove(a):a.source.owner.remove(a);if(-1==(o=this.nodes.indexOf(e)))throw"Node not in owner node list!";this.nodes.splice(o,1)}else if(t instanceof c){var a;if(null==(a=t))throw"Edge is null!";if(null==a.source||null==a.target)throw"Source and/or target is null!";if(null==a.source.owner||null==a.target.owner||a.source.owner!=this||a.target.owner!=this)throw"Source and/or target owner is invalid!";var o,u=a.source.edges.indexOf(a),l=a.target.edges.indexOf(a);if(!(u>-1&&l>-1))throw"Source and/or target doesn't know this edge!";if(a.source.edges.splice(u,1),a.target!=a.source&&a.target.edges.splice(l,1),-1==(o=a.source.owner.getEdges().indexOf(a)))throw"Not in owner's edge list!";a.source.owner.getEdges().splice(o,1)}},f.prototype.updateLeftTop=function(){for(var t,e,n,i=r.MAX_VALUE,a=r.MAX_VALUE,o=this.getNodes(),s=o.length,c=0;c<s;c++){var u=o[c];i>(t=u.getTop())&&(i=t),a>(e=u.getLeft())&&(a=e)}return i==r.MAX_VALUE?null:(n=null!=o[0].getParent().paddingLeft?o[0].getParent().paddingLeft:this.margin,this.left=a-n,this.top=i-n,new l(this.left,this.top))},f.prototype.updateBounds=function(t){for(var e,n,i,a,o,s=r.MAX_VALUE,c=-r.MAX_VALUE,l=r.MAX_VALUE,h=-r.MAX_VALUE,f=this.nodes,d=f.length,g=0;g<d;g++){var p=f[g];t&&null!=p.child&&p.updateBounds(),s>(e=p.getLeft())&&(s=e),c<(n=p.getRight())&&(c=n),l>(i=p.getTop())&&(l=i),h<(a=p.getBottom())&&(h=a)}var b=new u(s,l,c-s,h-l);s==r.MAX_VALUE&&(this.left=this.parent.getLeft(),this.right=this.parent.getRight(),this.top=this.parent.getTop(),this.bottom=this.parent.getBottom()),o=null!=f[0].getParent().paddingLeft?f[0].getParent().paddingLeft:this.margin,this.left=b.x-o,this.right=b.x+b.width+o,this.top=b.y-o,this.bottom=b.y+b.height+o},f.calculateBounds=function(t){for(var e,n,i,a,o=r.MAX_VALUE,s=-r.MAX_VALUE,c=r.MAX_VALUE,l=-r.MAX_VALUE,h=t.length,f=0;f<h;f++){var d=t[f];o>(e=d.getLeft())&&(o=e),s<(n=d.getRight())&&(s=n),c>(i=d.getTop())&&(c=i),l<(a=d.getBottom())&&(l=a)}return new u(o,c,s-o,l-c)},f.prototype.getInclusionTreeDepth=function(){return this==this.graphManager.getRoot()?1:this.parent.getInclusionTreeDepth()},f.prototype.getEstimatedSize=function(){if(this.estimatedSize==r.MIN_VALUE)throw"assert failed";return this.estimatedSize},f.prototype.calcEstimatedSize=function(){for(var t=0,e=this.nodes,n=e.length,i=0;i<n;i++)t+=e[i].calcEstimatedSize();return this.estimatedSize=0==t?a.EMPTY_COMPOUND_NODE_SIZE:t/Math.sqrt(this.nodes.length),this.estimatedSize},f.prototype.updateConnected=function(){var t=this;if(0!=this.nodes.length){var e,n,i=new h,r=new Set,a=this.nodes[0];for(a.withChildren().forEach((function(t){i.push(t),r.add(t)}));0!==i.length;)for(var o=(e=(a=i.shift()).getEdges()).length,s=0;s<o;s++)null==(n=e[s].getOtherEndInGraph(a,this))||r.has(n)||n.withChildren().forEach((function(t){i.push(t),r.add(t)}));if(this.isConnected=!1,r.size>=this.nodes.length){var c=0;r.forEach((function(e){e.owner==t&&c++})),c==this.nodes.length&&(this.isConnected=!0)}}else this.isConnected=!0},t.exports=f},function(t,e,n){"use strict";var i,r=n(1);function a(t){i=n(5),this.layout=t,this.graphs=[],this.edges=[]}a.prototype.addRoot=function(){var t=this.layout.newGraph(),e=this.layout.newNode(null),n=this.add(t,e);return this.setRootGraph(n),this.rootGraph},a.prototype.add=function(t,e,n,i,r){if(null==n&&null==i&&null==r){if(null==t)throw"Graph is null!";if(null==e)throw"Parent node is null!";if(this.graphs.indexOf(t)>-1)throw"Graph already in this graph mgr!";if(this.graphs.push(t),null!=t.parent)throw"Already has a parent!";if(null!=e.child)throw"Already has a child!";return t.parent=e,e.child=t,t}r=n,n=t;var a=(i=e).getOwner(),o=r.getOwner();if(null==a||a.getGraphManager()!=this)throw"Source not in this graph mgr!";if(null==o||o.getGraphManager()!=this)throw"Target not in this graph mgr!";if(a==o)return n.isInterGraph=!1,a.add(n,i,r);if(n.isInterGraph=!0,n.source=i,n.target=r,this.edges.indexOf(n)>-1)throw"Edge already in inter-graph edge list!";if(this.edges.push(n),null==n.source||null==n.target)throw"Edge source and/or target is null!";if(-1!=n.source.edges.indexOf(n)||-1!=n.target.edges.indexOf(n))throw"Edge already in source and/or target incidency list!";return n.source.edges.push(n),n.target.edges.push(n),n},a.prototype.remove=function(t){if(t instanceof i){var e=t;if(e.getGraphManager()!=this)throw"Graph not in this graph mgr";if(e!=this.rootGraph&&(null==e.parent||e.parent.graphManager!=this))throw"Invalid parent node!";for(var n,a=[],o=(a=a.concat(e.getEdges())).length,s=0;s<o;s++)n=a[s],e.remove(n);var c,u=[];for(o=(u=u.concat(e.getNodes())).length,s=0;s<o;s++)c=u[s],e.remove(c);e==this.rootGraph&&this.setRootGraph(null);var l=this.graphs.indexOf(e);this.graphs.splice(l,1),e.parent=null}else if(t instanceof r){if(null==(n=t))throw"Edge is null!";if(!n.isInterGraph)throw"Not an inter-graph edge!";if(null==n.source||null==n.target)throw"Source and/or target is null!";if(-1==n.source.edges.indexOf(n)||-1==n.target.edges.indexOf(n))throw"Source and/or target doesn't know this edge!";if(l=n.source.edges.indexOf(n),n.source.edges.splice(l,1),l=n.target.edges.indexOf(n),n.target.edges.splice(l,1),null==n.source.owner||null==n.source.owner.getGraphManager())throw"Edge owner graph or owner graph manager is null!";if(-1==n.source.owner.getGraphManager().edges.indexOf(n))throw"Not in owner graph manager's edge list!";l=n.source.owner.getGraphManager().edges.indexOf(n),n.source.owner.getGraphManager().edges.splice(l,1)}},a.prototype.updateBounds=function(){this.rootGraph.updateBounds(!0)},a.prototype.getGraphs=function(){return this.graphs},a.prototype.getAllNodes=function(){if(null==this.allNodes){for(var t=[],e=this.getGraphs(),n=e.length,i=0;i<n;i++)t=t.concat(e[i].getNodes());this.allNodes=t}return this.allNodes},a.prototype.resetAllNodes=function(){this.allNodes=null},a.prototype.resetAllEdges=function(){this.allEdges=null},a.prototype.resetAllNodesToApplyGravitation=function(){this.allNodesToApplyGravitation=null},a.prototype.getAllEdges=function(){if(null==this.allEdges){for(var t=[],e=this.getGraphs(),n=(e.length,0);n<e.length;n++)t=t.concat(e[n].getEdges());t=t.concat(this.edges),this.allEdges=t}return this.allEdges},a.prototype.getAllNodesToApplyGravitation=function(){return this.allNodesToApplyGravitation},a.prototype.setAllNodesToApplyGravitation=function(t){if(null!=this.allNodesToApplyGravitation)throw"assert failed";this.allNodesToApplyGravitation=t},a.prototype.getRoot=function(){return this.rootGraph},a.prototype.setRootGraph=function(t){if(t.getGraphManager()!=this)throw"Root not in this graph mgr!";this.rootGraph=t,null==t.parent&&(t.parent=this.layout.newNode("Root node"))},a.prototype.getLayout=function(){return this.layout},a.prototype.isOneAncestorOfOther=function(t,e){if(null==t||null==e)throw"assert failed";if(t==e)return!0;for(var n,i=t.getOwner();null!=(n=i.getParent());){if(n==e)return!0;if(null==(i=n.getOwner()))break}for(i=e.getOwner();null!=(n=i.getParent());){if(n==t)return!0;if(null==(i=n.getOwner()))break}return!1},a.prototype.calcLowestCommonAncestors=function(){for(var t,e,n,i,r,a=this.getAllEdges(),o=a.length,s=0;s<o;s++)if(e=(t=a[s]).source,n=t.target,t.lca=null,t.sourceInLca=e,t.targetInLca=n,e!=n){for(i=e.getOwner();null==t.lca;){for(t.targetInLca=n,r=n.getOwner();null==t.lca;){if(r==i){t.lca=r;break}if(r==this.rootGraph)break;if(null!=t.lca)throw"assert failed";t.targetInLca=r.getParent(),r=t.targetInLca.getOwner()}if(i==this.rootGraph)break;null==t.lca&&(t.sourceInLca=i.getParent(),i=t.sourceInLca.getOwner())}if(null==t.lca)throw"assert failed"}else t.lca=e.getOwner()},a.prototype.calcLowestCommonAncestor=function(t,e){if(t==e)return t.getOwner();for(var n=t.getOwner();null!=n;){for(var i=e.getOwner();null!=i;){if(i==n)return i;i=i.getParent().getOwner()}n=n.getParent().getOwner()}return n},a.prototype.calcInclusionTreeDepths=function(t,e){var n;null==t&&null==e&&(t=this.rootGraph,e=1);for(var i=t.getNodes(),r=i.length,a=0;a<r;a++)(n=i[a]).inclusionTreeDepth=e,null!=n.child&&this.calcInclusionTreeDepths(n.child,e+1)},a.prototype.includesInvalidEdge=function(){for(var t,e=this.edges.length,n=0;n<e;n++)if(t=this.edges[n],this.isOneAncestorOfOther(t.source,t.target))return!0;return!1},t.exports=a},function(t,e,n){"use strict";var i=n(0);function r(){}for(var a in i)r[a]=i[a];r.MAX_ITERATIONS=2500,r.DEFAULT_EDGE_LENGTH=50,r.DEFAULT_SPRING_STRENGTH=.45,r.DEFAULT_REPULSION_STRENGTH=4500,r.DEFAULT_GRAVITY_STRENGTH=.4,r.DEFAULT_COMPOUND_GRAVITY_STRENGTH=1,r.DEFAULT_GRAVITY_RANGE_FACTOR=3.8,r.DEFAULT_COMPOUND_GRAVITY_RANGE_FACTOR=1.5,r.DEFAULT_USE_SMART_IDEAL_EDGE_LENGTH_CALCULATION=!0,r.DEFAULT_USE_SMART_REPULSION_RANGE_CALCULATION=!0,r.DEFAULT_COOLING_FACTOR_INCREMENTAL=.3,r.COOLING_ADAPTATION_FACTOR=.33,r.ADAPTATION_LOWER_NODE_LIMIT=1e3,r.ADAPTATION_UPPER_NODE_LIMIT=5e3,r.MAX_NODE_DISPLACEMENT_INCREMENTAL=100,r.MAX_NODE_DISPLACEMENT=3*r.MAX_NODE_DISPLACEMENT_INCREMENTAL,r.MIN_REPULSION_DIST=r.DEFAULT_EDGE_LENGTH/10,r.CONVERGENCE_CHECK_PERIOD=100,r.PER_LEVEL_IDEAL_EDGE_LENGTH_FACTOR=.1,r.MIN_EDGE_LENGTH=1,r.GRID_CALCULATION_CHECK_PERIOD=10,t.exports=r},function(t,e,n){"use strict";var i=n(12);function r(){}r.calcSeparationAmount=function(t,e,n,i){if(!t.intersects(e))throw"assert failed";var r=new Array(2);this.decideDirectionsForOverlappingNodes(t,e,r),n[0]=Math.min(t.getRight(),e.getRight())-Math.max(t.x,e.x),n[1]=Math.min(t.getBottom(),e.getBottom())-Math.max(t.y,e.y),t.getX()<=e.getX()&&t.getRight()>=e.getRight()?n[0]+=Math.min(e.getX()-t.getX(),t.getRight()-e.getRight()):e.getX()<=t.getX()&&e.getRight()>=t.getRight()&&(n[0]+=Math.min(t.getX()-e.getX(),e.getRight()-t.getRight())),t.getY()<=e.getY()&&t.getBottom()>=e.getBottom()?n[1]+=Math.min(e.getY()-t.getY(),t.getBottom()-e.getBottom()):e.getY()<=t.getY()&&e.getBottom()>=t.getBottom()&&(n[1]+=Math.min(t.getY()-e.getY(),e.getBottom()-t.getBottom()));var a=Math.abs((e.getCenterY()-t.getCenterY())/(e.getCenterX()-t.getCenterX()));e.getCenterY()===t.getCenterY()&&e.getCenterX()===t.getCenterX()&&(a=1);var o=a*n[0],s=n[1]/a;n[0]<s?s=n[0]:o=n[1],n[0]=-1*r[0]*(s/2+i),n[1]=-1*r[1]*(o/2+i)},r.decideDirectionsForOverlappingNodes=function(t,e,n){t.getCenterX()<e.getCenterX()?n[0]=-1:n[0]=1,t.getCenterY()<e.getCenterY()?n[1]=-1:n[1]=1},r.getIntersection2=function(t,e,n){var i=t.getCenterX(),r=t.getCenterY(),a=e.getCenterX(),o=e.getCenterY();if(t.intersects(e))return n[0]=i,n[1]=r,n[2]=a,n[3]=o,!0;var s=t.getX(),c=t.getY(),u=t.getRight(),l=t.getX(),h=t.getBottom(),f=t.getRight(),d=t.getWidthHalf(),g=t.getHeightHalf(),p=e.getX(),b=e.getY(),w=e.getRight(),y=e.getX(),m=e.getBottom(),v=e.getRight(),x=e.getWidthHalf(),k=e.getHeightHalf(),_=!1,E=!1;if(i===a){if(r>o)return n[0]=i,n[1]=c,n[2]=a,n[3]=m,!1;if(r<o)return n[0]=i,n[1]=h,n[2]=a,n[3]=b,!1}else if(r===o){if(i>a)return n[0]=s,n[1]=r,n[2]=w,n[3]=o,!1;if(i<a)return n[0]=u,n[1]=r,n[2]=p,n[3]=o,!1}else{var T=t.height/t.width,C=e.height/e.width,S=(o-r)/(a-i),A=void 0,M=void 0,I=void 0,L=void 0,D=void 0,O=void 0;if(-T===S?i>a?(n[0]=l,n[1]=h,_=!0):(n[0]=u,n[1]=c,_=!0):T===S&&(i>a?(n[0]=s,n[1]=c,_=!0):(n[0]=f,n[1]=h,_=!0)),-C===S?a>i?(n[2]=y,n[3]=m,E=!0):(n[2]=w,n[3]=b,E=!0):C===S&&(a>i?(n[2]=p,n[3]=b,E=!0):(n[2]=v,n[3]=m,E=!0)),_&&E)return!1;if(i>a?r>o?(A=this.getCardinalDirection(T,S,4),M=this.getCardinalDirection(C,S,2)):(A=this.getCardinalDirection(-T,S,3),M=this.getCardinalDirection(-C,S,1)):r>o?(A=this.getCardinalDirection(-T,S,1),M=this.getCardinalDirection(-C,S,3)):(A=this.getCardinalDirection(T,S,2),M=this.getCardinalDirection(C,S,4)),!_)switch(A){case 1:L=c,I=i+-g/S,n[0]=I,n[1]=L;break;case 2:I=f,L=r+d*S,n[0]=I,n[1]=L;break;case 3:L=h,I=i+g/S,n[0]=I,n[1]=L;break;case 4:I=l,L=r+-d*S,n[0]=I,n[1]=L}if(!E)switch(M){case 1:O=b,D=a+-k/S,n[2]=D,n[3]=O;break;case 2:D=v,O=o+x*S,n[2]=D,n[3]=O;break;case 3:O=m,D=a+k/S,n[2]=D,n[3]=O;break;case 4:D=y,O=o+-x*S,n[2]=D,n[3]=O}}return!1},r.getCardinalDirection=function(t,e,n){return t>e?n:1+n%4},r.getIntersection=function(t,e,n,r){if(null==r)return this.getIntersection2(t,e,n);var a,o,s,c,u,l,h,f=t.x,d=t.y,g=e.x,p=e.y,b=n.x,w=n.y,y=r.x,m=r.y;return 0==(h=(a=p-d)*(c=b-y)-(o=m-w)*(s=f-g))?null:new i((s*(l=y*w-b*m)-c*(u=g*d-f*p))/h,(o*u-a*l)/h)},r.angleOfVector=function(t,e,n,i){var r=void 0;return t!==n?(r=Math.atan((i-e)/(n-t)),n<t?r+=Math.PI:i<e&&(r+=this.TWO_PI)):r=i<e?this.ONE_AND_HALF_PI:this.HALF_PI,r},r.doIntersect=function(t,e,n,i){var r=t.x,a=t.y,o=e.x,s=e.y,c=n.x,u=n.y,l=i.x,h=i.y,f=(o-r)*(h-u)-(l-c)*(s-a);if(0===f)return!1;var d=((h-u)*(l-r)+(c-l)*(h-a))/f,g=((a-s)*(l-r)+(o-r)*(h-a))/f;return 0<d&&d<1&&0<g&&g<1},r.HALF_PI=.5*Math.PI,r.ONE_AND_HALF_PI=1.5*Math.PI,r.TWO_PI=2*Math.PI,r.THREE_PI=3*Math.PI,t.exports=r},function(t,e,n){"use strict";function i(){}i.sign=function(t){return t>0?1:t<0?-1:0},i.floor=function(t){return t<0?Math.ceil(t):Math.floor(t)},i.ceil=function(t){return t<0?Math.floor(t):Math.ceil(t)},t.exports=i},function(t,e,n){"use strict";function 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t=this.getAllNodes().length;this.incremental?(t>r.ADAPTATION_LOWER_NODE_LIMIT&&(this.coolingFactor=Math.max(this.coolingFactor*r.COOLING_ADAPTATION_FACTOR,this.coolingFactor-(t-r.ADAPTATION_LOWER_NODE_LIMIT)/(r.ADAPTATION_UPPER_NODE_LIMIT-r.ADAPTATION_LOWER_NODE_LIMIT)*this.coolingFactor*(1-r.COOLING_ADAPTATION_FACTOR))),this.maxNodeDisplacement=r.MAX_NODE_DISPLACEMENT_INCREMENTAL):(t>r.ADAPTATION_LOWER_NODE_LIMIT?this.coolingFactor=Math.max(r.COOLING_ADAPTATION_FACTOR,1-(t-r.ADAPTATION_LOWER_NODE_LIMIT)/(r.ADAPTATION_UPPER_NODE_LIMIT-r.ADAPTATION_LOWER_NODE_LIMIT)*(1-r.COOLING_ADAPTATION_FACTOR)):this.coolingFactor=1,this.initialCoolingFactor=this.coolingFactor,this.maxNodeDisplacement=r.MAX_NODE_DISPLACEMENT),this.maxIterations=Math.max(5*this.getAllNodes().length,this.maxIterations),this.totalDisplacementThreshold=this.displacementThresholdPerNode*this.getAllNodes().length,this.repulsionRange=this.calcRepulsionRange()},c.prototype.calcSpringForces=function(){for(var t,e=this.getAllEdges(),n=0;n<e.length;n++)t=e[n],this.calcSpringForce(t,t.idealLength)},c.prototype.calcRepulsionForces=function(){var t,e,n,i,a,o=!(arguments.length>0&&void 0!==arguments[0])||arguments[0],s=arguments.length>1&&void 0!==arguments[1]&&arguments[1],c=this.getAllNodes();if(this.useFRGridVariant)for(this.totalIterations%r.GRID_CALCULATION_CHECK_PERIOD==1&&o&&this.updateGrid(),a=new Set,t=0;t<c.length;t++)n=c[t],this.calculateRepulsionForceOfANode(n,a,o,s),a.add(n);else for(t=0;t<c.length;t++)for(n=c[t],e=t+1;e<c.length;e++)i=c[e],n.getOwner()==i.getOwner()&&this.calcRepulsionForce(n,i)},c.prototype.calcGravitationalForces=function(){for(var t,e=this.getAllNodesToApplyGravitation(),n=0;n<e.length;n++)t=e[n],this.calcGravitationalForce(t)},c.prototype.moveNodes=function(){for(var t=this.getAllNodes(),e=0;e<t.length;e++)t[e].move()},c.prototype.calcSpringForce=function(t,e){var n,i,r,a,o=t.getSource(),s=t.getTarget();if(this.uniformLeafNodeSizes&&null==o.getChild()&&null==s.getChild())t.updateLengthSimple();else if(t.updateLength(),t.isOverlapingSourceAndTarget)return;0!=(n=t.getLength())&&(r=(i=this.springConstant*(n-e))*(t.lengthX/n),a=i*(t.lengthY/n),o.springForceX+=r,o.springForceY+=a,s.springForceX-=r,s.springForceY-=a)},c.prototype.calcRepulsionForce=function(t,e){var n,i,a,c,u,l,h,f=t.getRect(),d=e.getRect(),g=new Array(2),p=new Array(4);if(f.intersects(d)){o.calcSeparationAmount(f,d,g,r.DEFAULT_EDGE_LENGTH/2),l=2*g[0],h=2*g[1];var b=t.noOfChildren*e.noOfChildren/(t.noOfChildren+e.noOfChildren);t.repulsionForceX-=b*l,t.repulsionForceY-=b*h,e.repulsionForceX+=b*l,e.repulsionForceY+=b*h}else this.uniformLeafNodeSizes&&null==t.getChild()&&null==e.getChild()?(n=d.getCenterX()-f.getCenterX(),i=d.getCenterY()-f.getCenterY()):(o.getIntersection(f,d,p),n=p[2]-p[0],i=p[3]-p[1]),Math.abs(n)<r.MIN_REPULSION_DIST&&(n=s.sign(n)*r.MIN_REPULSION_DIST),Math.abs(i)<r.MIN_REPULSION_DIST&&(i=s.sign(i)*r.MIN_REPULSION_DIST),a=n*n+i*i,c=Math.sqrt(a),l=(u=this.repulsionConstant*t.noOfChildren*e.noOfChildren/a)*n/c,h=u*i/c,t.repulsionForceX-=l,t.repulsionForceY-=h,e.repulsionForceX+=l,e.repulsionForceY+=h},c.prototype.calcGravitationalForce=function(t){var e,n,i,r,a,o,s,c;n=((e=t.getOwner()).getRight()+e.getLeft())/2,i=(e.getTop()+e.getBottom())/2,r=t.getCenterX()-n,a=t.getCenterY()-i,o=Math.abs(r)+t.getWidth()/2,s=Math.abs(a)+t.getHeight()/2,t.getOwner()==this.graphManager.getRoot()?(o>(c=e.getEstimatedSize()*this.gravityRangeFactor)||s>c)&&(t.gravitationForceX=-this.gravityConstant*r,t.gravitationForceY=-this.gravityConstant*a):(o>(c=e.getEstimatedSize()*this.compoundGravityRangeFactor)||s>c)&&(t.gravitationForceX=-this.gravityConstant*r*this.compoundGravityConstant,t.gravitationForceY=-this.gravityConstant*a*this.compoundGravityConstant)},c.prototype.isConverged=function(){var t,e=!1;return this.totalIterations>this.maxIterations/3&&(e=Math.abs(this.totalDisplacement-this.oldTotalDisplacement)<2),t=this.totalDisplacement<this.totalDisplacementThreshold,this.oldTotalDisplacement=this.totalDisplacement,t||e},c.prototype.animate=function(){this.animationDuringLayout&&!this.isSubLayout&&(this.notAnimatedIterations==this.animationPeriod?(this.update(),this.notAnimatedIterations=0):this.notAnimatedIterations++)},c.prototype.calcNoOfChildrenForAllNodes=function(){for(var t,e=this.graphManager.getAllNodes(),n=0;n<e.length;n++)(t=e[n]).noOfChildren=t.getNoOfChildren()},c.prototype.calcGrid=function(t){var e,n;e=parseInt(Math.ceil((t.getRight()-t.getLeft())/this.repulsionRange)),n=parseInt(Math.ceil((t.getBottom()-t.getTop())/this.repulsionRange));for(var i=new Array(e),r=0;r<e;r++)i[r]=new Array(n);for(r=0;r<e;r++)for(var a=0;a<n;a++)i[r][a]=new Array;return i},c.prototype.addNodeToGrid=function(t,e,n){var i,r,a,o;i=parseInt(Math.floor((t.getRect().x-e)/this.repulsionRange)),r=parseInt(Math.floor((t.getRect().width+t.getRect().x-e)/this.repulsionRange)),a=parseInt(Math.floor((t.getRect().y-n)/this.repulsionRange)),o=parseInt(Math.floor((t.getRect().height+t.getRect().y-n)/this.repulsionRange));for(var s=i;s<=r;s++)for(var c=a;c<=o;c++)this.grid[s][c].push(t),t.setGridCoordinates(i,r,a,o)},c.prototype.updateGrid=function(){var t,e,n=this.getAllNodes();for(this.grid=this.calcGrid(this.graphManager.getRoot()),t=0;t<n.length;t++)e=n[t],this.addNodeToGrid(e,this.graphManager.getRoot().getLeft(),this.graphManager.getRoot().getTop())},c.prototype.calculateRepulsionForceOfANode=function(t,e,n,i){if(this.totalIterations%r.GRID_CALCULATION_CHECK_PERIOD==1&&n||i){var a,o=new Set;t.surrounding=new Array;for(var s=this.grid,c=t.startX-1;c<t.finishX+2;c++)for(var u=t.startY-1;u<t.finishY+2;u++)if(!(c<0||u<0||c>=s.length||u>=s[0].length))for(var l=0;l<s[c][u].length;l++)if(a=s[c][u][l],t.getOwner()==a.getOwner()&&t!=a&&!e.has(a)&&!o.has(a)){var h=Math.abs(t.getCenterX()-a.getCenterX())-(t.getWidth()/2+a.getWidth()/2),f=Math.abs(t.getCenterY()-a.getCenterY())-(t.getHeight()/2+a.getHeight()/2);h<=this.repulsionRange&&f<=this.repulsionRange&&o.add(a)}t.surrounding=[].concat(function(t){if(Array.isArray(t)){for(var e=0,n=Array(t.length);e<t.length;e++)n[e]=t[e];return n}return Array.from(t)}(o))}for(c=0;c<t.surrounding.length;c++)this.calcRepulsionForce(t,t.surrounding[c])},c.prototype.calcRepulsionRange=function(){return 0},t.exports=c},function(t,e,n){"use strict";var i=n(1),r=n(7);function a(t,e,n){i.call(this,t,e,n),this.idealLength=r.DEFAULT_EDGE_LENGTH}for(var o in a.prototype=Object.create(i.prototype),i)a[o]=i[o];t.exports=a},function(t,e,n){"use strict";var i=n(3);function r(t,e,n,r){i.call(this,t,e,n,r),this.springForceX=0,this.springForceY=0,this.repulsionForceX=0,this.repulsionForceY=0,this.gravitationForceX=0,this.gravitationForceY=0,this.displacementX=0,this.displacementY=0,this.startX=0,this.finishX=0,this.startY=0,this.finishY=0,this.surrounding=[]}for(var a in r.prototype=Object.create(i.prototype),i)r[a]=i[a];r.prototype.setGridCoordinates=function(t,e,n,i){this.startX=t,this.finishX=e,this.startY=n,this.finishY=i},t.exports=r},function(t,e,n){"use strict";function i(t,e){this.width=0,this.height=0,null!==t&&null!==e&&(this.height=e,this.width=t)}i.prototype.getWidth=function(){return this.width},i.prototype.setWidth=function(t){this.width=t},i.prototype.getHeight=function(){return this.height},i.prototype.setHeight=function(t){this.height=t},t.exports=i},function(t,e,n){"use strict";var i=n(14);function r(){this.map={},this.keys=[]}r.prototype.put=function(t,e){var 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instanceof r?t.get_object_at(e):t[e]}},{key:"_set",value:function(t,e,n){t instanceof r?t.set_object_at(e,n):t[e]=n}},{key:"_swap",value:function(t,e,n){var i=this._get(t,e);this._set(t,e,this._get(t,n)),this._set(t,n,i)}},{key:"_defaultCompareFunction",value:function(t,e){return e>t}}]),t}();t.exports=a},function(t,e,n){"use strict";var i=function(){function t(t,e){for(var n=0;n<e.length;n++){var i=e[n];i.enumerable=i.enumerable||!1,i.configurable=!0,"value"in i&&(i.writable=!0),Object.defineProperty(t,i.key,i)}}return function(e,n,i){return n&&t(e.prototype,n),i&&t(e,i),e}}();function r(t,e){if(!(t instanceof e))throw new TypeError("Cannot call a class as a function")}var a=function(){function t(e,n){var i=arguments.length>2&&void 0!==arguments[2]?arguments[2]:1,a=arguments.length>3&&void 0!==arguments[3]?arguments[3]:-1,o=arguments.length>4&&void 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83:this.$=""}},table:[{3:1,4:2,5:3,6:4,7:e,8:n,9:i,10:r,11:5,12:10,18:a,22:o,25:s,26:u,27:l,28:h},{1:[3]},{1:[2,1]},{1:[2,2]},{3:17,4:2,5:3,6:4,7:e,8:n,9:i,10:r,11:5,12:10,18:a,22:o,25:s,26:u,27:l,28:h},{1:[2,8]},{1:[2,4]},{1:[2,5]},{1:[2,6]},{1:[2,7]},{13:18,19:[1,19]},{15:[1,20]},{15:[1,21]},{15:[1,22]},{15:[1,23]},{15:[1,24]},{19:[2,11]},{1:[2,3]},{14:25,16:[1,26],21:f},t([16,21],[2,12]),{23:28,29:29,30:30,31:31,32:d,33:g,34:p,36:b,38:w,39:58,40:70,42:71,44:y,46:m,47:v,48:x,49:k,50:_,51:E,53:32,54:T,55:C,56:S,57:A,58:M,59:I,60:L,61:D,62:O,63:N,64:P,65:B,66:F,67:R,68:$,69:j,70:z,71:q,72:H,73:Z,74:U,75:Y,76:G,77:K,78:W,79:X,80:V,81:Q,82:J,83:tt,84:et},{23:79,29:29,30:30,31:31,32:d,33:g,34:p,36:b,38:w,39:58,40:70,42:71,44:y,46:m,47:v,48:x,49:k,50:_,51:E,53:32,54:T,55:C,56:S,57:A,58:M,59:I,60:L,61:D,62:O,63:N,64:P,65:B,66:F,67:R,68:$,69:j,70:z,71:q,72:H,73:Z,74:U,75:Y,76:G,77:K,78:W,79:X,80:V,81:Q,82:J,83:tt,84:et},{23:80,29:29,30:30,31:31,32:d,33:g,34:p,36:b,38:w,39:58,40:70,42:71,44:y,46:m,47:v,48:x,49:k,50:_,51:E,53:32,54:T,55:C,56:S,57:A,58:M,59:I,60:L,61:D,62:O,63:N,64:P,65:B,66:F,67:R,68:$,69:j,70:z,71:q,72:H,73:Z,74:U,75:Y,76:G,77:K,78:W,79:X,80:V,81:Q,82:J,83:tt,84:et},{23:81,29:29,30:30,31:31,32:d,33:g,34:p,36:b,38:w,39:58,40:70,42:71,44:y,46:m,47:v,48:x,49:k,50:_,51:E,53:32,54:T,55:C,56:S,57:A,58:M,59:I,60:L,61:D,62:O,63:N,64:P,65:B,66:F,67:R,68:$,69:j,70:z,71:q,72:H,73:Z,74:U,75:Y,76:G,77:K,78:W,79:X,80:V,81:Q,82:J,83:tt,84:et},{23:82,29:29,30:30,31:31,32:d,33:g,34:p,36:b,38:w,39:58,40:70,42:71,44:y,46:m,47:v,48:x,49:k,50:_,51:E,53:32,54:T,55:C,56:S,57:A,58:M,59:I,60:L,61:D,62:O,63:N,64:P,65:B,66:F,67:R,68:$,69:j,70:z,71:q,72:H,73:Z,74:U,75:Y,76:G,77:K,78:W,79:X,80:V,81:Q,82:J,83:tt,84:et},{15:[1,83]},{17:84,20:[1,85]},{15:[2,14]},{24:[1,86]},t(nt,[2,20],{53:32,39:58,40:70,42:71,30:87,44:y,46:m,47:v,48:x,49:k,50:_,51:E,54:T,55:C,56:S,57:A,58:M,59:I,60:L,61:D,62:O,63:N,64:P,65:B,66:F,67:R,68:$,69:j,70:z,71:q,72:H,73:Z,74:U,75:Y,76:G,77:K,78:W,79:X,80:V,81:Q,82:J,83:tt,84:et}),t(nt,[2,21]),t(it,[2,23],{15:[1,88]}),t(nt,[2,43],{15:[1,89]}),t(rt,[2,26]),t(rt,[2,27]),{35:[1,90]},{37:[1,91]},t(rt,[2,30]),{45:92,85:93,86:at,87:ot,89:st,90:ct},{45:98,85:93,86:at,87:ot,89:st,90:ct},{45:99,85:93,86:at,87:ot,89:st,90:ct},{45:100,85:93,86:at,87:ot,89:st,90:ct},{45:101,85:93,86:at,87:ot,89:st,90:ct},{45:102,85:93,86:at,87:ot,89:st,90:ct},{45:103,85:93,86:at,87:ot,89:st,90:ct},{45:104,85:93,86:at,87:ot,89:st,90:ct},{45:105,85:93,86:at,87:ot,89:st,90:ct},{45:106,85:93,86:at,87:ot,89:st,90:ct},{45:107,85:93,86:at,87:ot,89:st,90:ct},{45:108,85:93,86:at,87:ot,89:st,90:ct},{45:109,85:93,86:at,87:ot,89:st,90:ct},{45:110,85:93,86:at,87:ot,89:st,90:ct},{45:111,85:93,86:at,87:ot,89:st,90:ct},{45:112,85:93,86:at,87:ot,89:st,90:ct},{45:113,85:93,86:at,87:ot,89:st,90:ct},{45:114,85:93,86:at,87:ot,89:st,90:ct},{45:115,85:93,86:at,87:ot,89:st,90:ct},{45:116,85:93,86:at,87:ot,89:st,90:ct},t(ut,[2,66]),{45:117,85:93,86:at,87:ot,89:st,90:ct},{45:118,85:93,86:at,87:ot,89:st,90:ct},{45:119,85:93,86:at,87:ot,89:st,90:ct},{45:120,85:93,86:at,87:ot,89:st,90:ct},{45:121,85:93,86:at,87:ot,89:st,90:ct},{45:122,85:93,86:at,87:ot,89:st,90:ct},{45:123,85:93,86:at,87:ot,89:st,90:ct},{45:124,85:93,86:at,87:ot,89:st,90:ct},{45:125,85:93,86:at,87:ot,89:st,90:ct},{45:126,85:93,86:at,87:ot,89:st,90:ct},{45:127,85:93,86:at,87:ot,89:st,90:ct},{30:128,39:58,40:70,42:71,44:y,46:m,47:v,48:x,49:k,50:_,51:E,53:32,54:T,55:C,56:S,57:A,58:M,59:I,60:L,61:D,62:O,63:N,64:P,65:B,66:F,67:R,68:$,69:j,70:z,71:q,72:H,73:Z,74:U,75:Y,76:G,77:K,78:W,79:X,80:V,81:Q,82:J,83:tt,84:et},{15:[1,130],43:[1,129]},{45:131,85:93,86:at,87:ot,89:st,90:ct},{45:132,85:93,86:at,87:ot,89:st,90:ct},{45:133,85:93,86:at,87:ot,89:st,90:ct},{45:134,85:93,86:at,87:ot,89:st,90:ct},{45:135,85:93,86:at,87:ot,89:st,90:ct},{45:136,85:93,86:at,87:ot,89:st,90:ct},{45:137,85:93,86:at,87:ot,89:st,90:ct},{24:[1,138]},{24:[1,139]},{24:[1,140]},{24:[1,141]},t(lt,[2,9]),{14:142,21:f},{21:[2,13]},{1:[2,15]},t(nt,[2,22]),t(it,[2,24],{31:31,29:143,32:d,33:g,34:p,36:b,38:w}),t(nt,[2,44],{29:29,30:30,31:31,53:32,39:58,40:70,42:71,23:144,32:d,33:g,34:p,36:b,38:w,44:y,46:m,47:v,48:x,49:k,50:_,51:E,54:T,55:C,56:S,57:A,58:M,59:I,60:L,61:D,62:O,63:N,64:P,65:B,66:F,67:R,68:$,69:j,70:z,71:q,72:H,73:Z,74:U,75:Y,76:G,77:K,78:W,79:X,80:V,81:Q,82:J,83:tt,84:et}),t(rt,[2,28]),t(rt,[2,29]),t(ut,[2,46]),t(ht,[2,78],{85:93,45:145,86:at,87:ot,89:st,90:ct}),t(ft,[2,80]),{88:[1,146]},t(ft,[2,82]),t(ft,[2,83]),t(ut,[2,47]),t(ut,[2,48]),t(ut,[2,49]),t(ut,[2,50]),t(ut,[2,51]),t(ut,[2,52]),t(ut,[2,53]),t(ut,[2,54]),t(ut,[2,55]),t(ut,[2,56]),t(ut,[2,57]),t(ut,[2,58]),t(ut,[2,59]),t(ut,[2,60]),t(ut,[2,61]),t(ut,[2,62]),t(ut,[2,63]),t(ut,[2,64]),t(ut,[2,65]),t(ut,[2,67]),t(ut,[2,68]),t(ut,[2,69]),t(ut,[2,70]),t(ut,[2,71]),t(ut,[2,72]),t(ut,[2,73]),t(ut,[2,74]),t(ut,[2,75]),t(ut,[2,76]),t(ut,[2,77]),{41:147,52:[1,148]},{15:[1,149]},{43:[1,150]},t(dt,[2,35]),t(dt,[2,36]),t(dt,[2,37]),t(dt,[2,38]),t(dt,[2,39]),t(dt,[2,40]),t(dt,[2,41]),{1:[2,16]},{1:[2,17]},{1:[2,18]},{1:[2,19]},{15:[1,151]},t(it,[2,25]),t(nt,[2,45]),t(ht,[2,79]),t(ft,[2,81]),t(ut,[2,31]),t(ut,[2,42]),t(gt,[2,32]),t(gt,[2,33],{15:[1,152]}),t(lt,[2,10]),t(gt,[2,34])],defaultActions:{2:[2,1],3:[2,2],5:[2,8],6:[2,4],7:[2,5],8:[2,6],9:[2,7],16:[2,11],17:[2,3],27:[2,14],85:[2,13],86:[2,15],138:[2,16],139:[2,17],140:[2,18],141:[2,19]},parseError:function(t,e){if(!e.recoverable){var n=new Error(t);throw n.hash=e,n}this.trace(t)},parse:function(t){var e=this,n=[0],i=[],r=[null],a=[],o=this.table,s="",c=0,u=0,l=2,h=1,f=a.slice.call(arguments,1),d=Object.create(this.lexer),g={yy:{}};for(var p in this.yy)Object.prototype.hasOwnProperty.call(this.yy,p)&&(g.yy[p]=this.yy[p]);d.setInput(t,g.yy),g.yy.lexer=d,g.yy.parser=this,void 0===d.yylloc&&(d.yylloc={});var b=d.yylloc;a.push(b);var w=d.options&&d.options.ranges;function y(){var t;return"number"!=typeof(t=i.pop()||d.lex()||h)&&(t instanceof Array&&(t=(i=t).pop()),t=e.symbols_[t]||t),t}"function"==typeof g.yy.parseError?this.parseError=g.yy.parseError:this.parseError=Object.getPrototypeOf(this).parseError;for(var m,v,x,k,_,E,T,C,S={};;){if(v=n[n.length-1],this.defaultActions[v]?x=this.defaultActions[v]:(null==m&&(m=y()),x=o[v]&&o[v][m]),void 0===x||!x.length||!x[0]){var A="";for(_ in C=[],o[v])this.terminals_[_]&&_>l&&C.push("'"+this.terminals_[_]+"'");A=d.showPosition?"Parse error on line "+(c+1)+":\n"+d.showPosition()+"\nExpecting "+C.join(", ")+", got '"+(this.terminals_[m]||m)+"'":"Parse error on line "+(c+1)+": Unexpected "+(m==h?"end of input":"'"+(this.terminals_[m]||m)+"'"),this.parseError(A,{text:d.match,token:this.terminals_[m]||m,line:d.yylineno,loc:b,expected:C})}if(x[0]instanceof Array&&x.length>1)throw new Error("Parse Error: multiple actions possible at state: "+v+", token: "+m);switch(x[0]){case 1:n.push(m),r.push(d.yytext),a.push(d.yylloc),n.push(x[1]),m=null,u=d.yyleng,s=d.yytext,c=d.yylineno,b=d.yylloc;break;case 2:if(E=this.productions_[x[1]][1],S.$=r[r.length-E],S._$={first_line:a[a.length-(E||1)].first_line,last_line:a[a.length-1].last_line,first_column:a[a.length-(E||1)].first_column,last_column:a[a.length-1].last_column},w&&(S._$.range=[a[a.length-(E||1)].range[0],a[a.length-1].range[1]]),void 0!==(k=this.performAction.apply(S,[s,u,c,g.yy,x[1],r,a].concat(f))))return k;E&&(n=n.slice(0,-1*E*2),r=r.slice(0,-1*E),a=a.slice(0,-1*E)),n.push(this.productions_[x[1]][0]),r.push(S.$),a.push(S._$),T=o[n[n.length-2]][n[n.length-1]],n.push(T);break;case 3:return!0}}return!0}},bt={EOF:1,parseError:function(t,e){if(!this.yy.parser)throw new Error(t);this.yy.parser.parseError(t,e)},setInput:function(t,e){return this.yy=e||this.yy||{},this._input=t,this._more=this._backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match="",this.conditionStack=["INITIAL"],this.yylloc={first_line:1,first_column:0,last_line:1,last_column:0},this.options.ranges&&(this.yylloc.range=[0,0]),this.offset=0,this},input:function(){var t=this._input[0];return this.yytext+=t,this.yyleng++,this.offset++,this.match+=t,this.matched+=t,t.match(/(?:\r\n?|\n).*/g)?(this.yylineno++,this.yylloc.last_line++):this.yylloc.last_column++,this.options.ranges&&this.yylloc.range[1]++,this._input=this._input.slice(1),t},unput:function(t){var e=t.length,n=t.split(/(?:\r\n?|\n)/g);this._input=t+this._input,this.yytext=this.yytext.substr(0,this.yytext.length-e),this.offset-=e;var i=this.match.split(/(?:\r\n?|\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),n.length-1&&(this.yylineno-=n.length-1);var r=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:n?(n.length===i.length?this.yylloc.first_column:0)+i[i.length-n.length].length-n[0].length:this.yylloc.first_column-e},this.options.ranges&&(this.yylloc.range=[r[0],r[0]+this.yyleng-e]),this.yyleng=this.yytext.length,this},more:function(){return this._more=!0,this},reject:function(){return this.options.backtrack_lexer?(this._backtrack=!0,this):this.parseError("Lexical error on line "+(this.yylineno+1)+". You can only invoke reject() in the lexer when the lexer is of the backtracking persuasion (options.backtrack_lexer = true).\n"+this.showPosition(),{text:"",token:null,line:this.yylineno})},less:function(t){this.unput(this.match.slice(t))},pastInput:function(){var t=this.matched.substr(0,this.matched.length-this.match.length);return(t.length>20?"...":"")+t.substr(-20).replace(/\n/g,"")},upcomingInput:function(){var t=this.match;return t.length<20&&(t+=this._input.substr(0,20-t.length)),(t.substr(0,20)+(t.length>20?"...":"")).replace(/\n/g,"")},showPosition:function(){var t=this.pastInput(),e=new Array(t.length+1).join("-");return t+this.upcomingInput()+"\n"+e+"^"},test_match:function(t,e){var n,i,r;if(this.options.backtrack_lexer&&(r={yylineno:this.yylineno,yylloc:{first_line:this.yylloc.first_line,last_line:this.last_line,first_column:this.yylloc.first_column,last_column:this.yylloc.last_column},yytext:this.yytext,match:this.match,matches:this.matches,matched:this.matched,yyleng:this.yyleng,offset:this.offset,_more:this._more,_input:this._input,yy:this.yy,conditionStack:this.conditionStack.slice(0),done:this.done},this.options.ranges&&(r.yylloc.range=this.yylloc.range.slice(0))),(i=t[0].match(/(?:\r\n?|\n).*/g))&&(this.yylineno+=i.length),this.yylloc={first_line:this.yylloc.last_line,last_line:this.yylineno+1,first_column:this.yylloc.last_column,last_column:i?i[i.length-1].length-i[i.length-1].match(/\r?\n?/)[0].length:this.yylloc.last_column+t[0].length},this.yytext+=t[0],this.match+=t[0],this.matches=t,this.yyleng=this.yytext.length,this.options.ranges&&(this.yylloc.range=[this.offset,this.offset+=this.yyleng]),this._more=!1,this._backtrack=!1,this._input=this._input.slice(t[0].length),this.matched+=t[0],n=this.performAction.call(this,this.yy,this,e,this.conditionStack[this.conditionStack.length-1]),this.done&&this._input&&(this.done=!1),n)return n;if(this._backtrack){for(var a in r)this[a]=r[a];return!1}return!1},next:function(){if(this.done)return this.EOF;var t,e,n,i;this._input||(this.done=!0),this._more||(this.yytext="",this.match="");for(var r=this._currentRules(),a=0;a<r.length;a++)if((n=this._input.match(this.rules[r[a]]))&&(!e||n[0].length>e[0].length)){if(e=n,i=a,this.options.backtrack_lexer){if(!1!==(t=this.test_match(n,r[a])))return t;if(this._backtrack){e=!1;continue}return!1}if(!this.options.flex)break}return e?!1!==(t=this.test_match(e,r[i]))&&t:""===this._input?this.EOF:this.parseError("Lexical error on line "+(this.yylineno+1)+". Unrecognized text.\n"+this.showPosition(),{text:"",token:null,line:this.yylineno})},lex:function(){var t=this.next();return t||this.lex()},begin:function(t){this.conditionStack.push(t)},popState:function(){return this.conditionStack.length-1>0?this.conditionStack.pop():this.conditionStack[0]},_currentRules:function(){return this.conditionStack.length&&this.conditionStack[this.conditionStack.length-1]?this.conditions[this.conditionStack[this.conditionStack.length-1]].rules:this.conditions.INITIAL.rules},topState:function(t){return(t=this.conditionStack.length-1-Math.abs(t||0))>=0?this.conditionStack[t]:"INITIAL"},pushState:function(t){this.begin(t)},stateStackSize:function(){return this.conditionStack.length},options:{},performAction:function(t,e,n,i){switch(n){case 0:return this.begin("open_directive"),18;case 1:return 7;case 2:return 8;case 3:return 9;case 4:return 10;case 5:return this.begin("type_directive"),19;case 6:return this.popState(),this.begin("arg_directive"),16;case 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n},e=[1,2],n=[1,5],i=[6,9,11,23,25,27,29,30,31,52],r=[1,17],a=[1,18],o=[1,19],s=[1,20],c=[1,21],u=[1,22],l=[1,25],h=[1,30],f=[1,31],d=[1,32],g=[1,33],p=[1,34],b=[6,9,11,15,20,23,25,27,29,30,31,44,45,46,47,48,52],w=[1,46],y=[30,31,49,50],m=[4,6,9,11,23,25,27,29,30,31,52],v=[44,45,46,47,48],x=[22,37],k=[1,66],_=[1,65],E=[22,37,39,41],T={trace:function(){},yy:{},symbols_:{error:2,start:3,ER_DIAGRAM:4,document:5,EOF:6,directive:7,line:8,SPACE:9,statement:10,NEWLINE:11,openDirective:12,typeDirective:13,closeDirective:14,":":15,argDirective:16,entityName:17,relSpec:18,role:19,BLOCK_START:20,attributes:21,BLOCK_STOP:22,title:23,title_value:24,acc_title:25,acc_title_value:26,acc_descr:27,acc_descr_value:28,acc_descr_multiline_value:29,ALPHANUM:30,ENTITY_NAME:31,attribute:32,attributeType:33,attributeName:34,attributeKeyTypeList:35,attributeComment:36,ATTRIBUTE_WORD:37,attributeKeyType:38,COMMA:39,ATTRIBUTE_KEY:40,COMMENT:41,cardinality:42,relType:43,ZERO_OR_ONE:44,ZERO_OR_MORE:45,ONE_OR_MORE:46,ONLY_ONE:47,MD_PARENT:48,NON_IDENTIFYING:49,IDENTIFYING:50,WORD:51,open_directive:52,type_directive:53,arg_directive:54,close_directive:55,$accept:0,$end:1},terminals_:{2:"error",4:"ER_DIAGRAM",6:"EOF",9:"SPACE",11:"NEWLINE",15:":",20:"BLOCK_START",22:"BLOCK_STOP",23:"title",24:"title_value",25:"acc_title",26:"acc_title_value",27:"acc_descr",28:"acc_descr_value",29:"acc_descr_multiline_value",30:"ALPHANUM",31:"ENTITY_NAME",37:"ATTRIBUTE_WORD",39:"COMMA",40:"ATTRIBUTE_KEY",41:"COMMENT",44:"ZERO_OR_ONE",45:"ZERO_OR_MORE",46:"ONE_OR_MORE",47:"ONLY_ONE",48:"MD_PARENT",49:"NON_IDENTIFYING",50:"IDENTIFYING",51:"WORD",52:"open_directive",53:"type_directive",54:"arg_directive",55:"close_directive"},productions_:[0,[3,3],[3,2],[5,0],[5,2],[8,2],[8,1],[8,1],[8,1],[7,4],[7,6],[10,1],[10,5],[10,4],[10,3],[10,1],[10,2],[10,2],[10,2],[10,1],[17,1],[17,1],[21,1],[21,2],[32,2],[32,3],[32,3],[32,4],[33,1],[34,1],[35,1],[35,3],[38,1],[36,1],[18,3],[42,1],[42,1],[42,1],[42,1],[42,1],[43,1],[43,1],[19,1],[19,1],[19,1],[12,1],[13,1],[16,1],[14,1]],performAction:function(t,e,n,i,r,a,o){var s=a.length-1;switch(r){case 1:break;case 3:case 7:case 8:this.$=[];break;case 4:a[s-1].push(a[s]),this.$=a[s-1];break;case 5:case 6:case 20:case 44:case 28:case 29:case 32:this.$=a[s];break;case 12:i.addEntity(a[s-4]),i.addEntity(a[s-2]),i.addRelationship(a[s-4],a[s],a[s-2],a[s-3]);break;case 13:i.addEntity(a[s-3]),i.addAttributes(a[s-3],a[s-1]);break;case 14:i.addEntity(a[s-2]);break;case 15:i.addEntity(a[s]);break;case 16:case 17:this.$=a[s].trim(),i.setAccTitle(this.$);break;case 18:case 19:this.$=a[s].trim(),i.setAccDescription(this.$);break;case 21:case 42:case 43:case 33:this.$=a[s].replace(/"/g,"");break;case 22:case 30:this.$=[a[s]];break;case 23:a[s].push(a[s-1]),this.$=a[s];break;case 24:this.$={attributeType:a[s-1],attributeName:a[s]};break;case 25:this.$={attributeType:a[s-2],attributeName:a[s-1],attributeKeyTypeList:a[s]};break;case 26:this.$={attributeType:a[s-2],attributeName:a[s-1],attributeComment:a[s]};break;case 27:this.$={attributeType:a[s-3],attributeName:a[s-2],attributeKeyTypeList:a[s-1],attributeComment:a[s]};break;case 31:a[s-2].push(a[s]),this.$=a[s-2];break;case 34:this.$={cardA:a[s],relType:a[s-1],cardB:a[s-2]};break;case 35:this.$=i.Cardinality.ZERO_OR_ONE;break;case 36:this.$=i.Cardinality.ZERO_OR_MORE;break;case 37:this.$=i.Cardinality.ONE_OR_MORE;break;case 38:this.$=i.Cardinality.ONLY_ONE;break;case 39:this.$=i.Cardinality.MD_PARENT;break;case 40:this.$=i.Identification.NON_IDENTIFYING;break;case 41:this.$=i.Identification.IDENTIFYING;break;case 45:i.parseDirective("%%{","open_directive");break;case 46:i.parseDirective(a[s],"type_directive");break;case 47:a[s]=a[s].trim().replace(/'/g,'"'),i.parseDirective(a[s],"arg_directive");break;case 48:i.parseDirective("}%%","close_directive","er")}},table:[{3:1,4:e,7:3,12:4,52:n},{1:[3]},t(i,[2,3],{5:6}),{3:7,4:e,7:3,12:4,52:n},{13:8,53:[1,9]},{53:[2,45]},{6:[1,10],7:15,8:11,9:[1,12],10:13,11:[1,14],12:4,17:16,23:r,25:a,27:o,29:s,30:c,31:u,52:n},{1:[2,2]},{14:23,15:[1,24],55:l},t([15,55],[2,46]),t(i,[2,8],{1:[2,1]}),t(i,[2,4]),{7:15,10:26,12:4,17:16,23:r,25:a,27:o,29:s,30:c,31:u,52:n},t(i,[2,6]),t(i,[2,7]),t(i,[2,11]),t(i,[2,15],{18:27,42:29,20:[1,28],44:h,45:f,46:d,47:g,48:p}),{24:[1,35]},{26:[1,36]},{28:[1,37]},t(i,[2,19]),t(b,[2,20]),t(b,[2,21]),{11:[1,38]},{16:39,54:[1,40]},{11:[2,48]},t(i,[2,5]),{17:41,30:c,31:u},{21:42,22:[1,43],32:44,33:45,37:w},{43:47,49:[1,48],50:[1,49]},t(y,[2,35]),t(y,[2,36]),t(y,[2,37]),t(y,[2,38]),t(y,[2,39]),t(i,[2,16]),t(i,[2,17]),t(i,[2,18]),t(m,[2,9]),{14:50,55:l},{55:[2,47]},{15:[1,51]},{22:[1,52]},t(i,[2,14]),{21:53,22:[2,22],32:44,33:45,37:w},{34:54,37:[1,55]},{37:[2,28]},{42:56,44:h,45:f,46:d,47:g,48:p},t(v,[2,40]),t(v,[2,41]),{11:[1,57]},{19:58,30:[1,61],31:[1,60],51:[1,59]},t(i,[2,13]),{22:[2,23]},t(x,[2,24],{35:62,36:63,38:64,40:k,41:_}),t([22,37,40,41],[2,29]),t([30,31],[2,34]),t(m,[2,10]),t(i,[2,12]),t(i,[2,42]),t(i,[2,43]),t(i,[2,44]),t(x,[2,25],{36:67,39:[1,68],41:_}),t(x,[2,26]),t(E,[2,30]),t(x,[2,33]),t(E,[2,32]),t(x,[2,27]),{38:69,40:k},t(E,[2,31])],defaultActions:{5:[2,45],7:[2,2],25:[2,48],40:[2,47],46:[2,28],53:[2,23]},parseError:function(t,e){if(!e.recoverable){var n=new Error(t);throw n.hash=e,n}this.trace(t)},parse:function(t){var e=this,n=[0],i=[],r=[null],a=[],o=this.table,s="",c=0,u=0,l=2,h=1,f=a.slice.call(arguments,1),d=Object.create(this.lexer),g={yy:{}};for(var p in this.yy)Object.prototype.hasOwnProperty.call(this.yy,p)&&(g.yy[p]=this.yy[p]);d.setInput(t,g.yy),g.yy.lexer=d,g.yy.parser=this,void 0===d.yylloc&&(d.yylloc={});var b=d.yylloc;a.push(b);var w=d.options&&d.options.ranges;function y(){var t;return"number"!=typeof(t=i.pop()||d.lex()||h)&&(t instanceof Array&&(t=(i=t).pop()),t=e.symbols_[t]||t),t}"function"==typeof g.yy.parseError?this.parseError=g.yy.parseError:this.parseError=Object.getPrototypeOf(this).parseError;for(var m,v,x,k,_,E,T,C,S={};;){if(v=n[n.length-1],this.defaultActions[v]?x=this.defaultActions[v]:(null==m&&(m=y()),x=o[v]&&o[v][m]),void 0===x||!x.length||!x[0]){var A="";for(_ in C=[],o[v])this.terminals_[_]&&_>l&&C.push("'"+this.terminals_[_]+"'");A=d.showPosition?"Parse error on line "+(c+1)+":\n"+d.showPosition()+"\nExpecting "+C.join(", ")+", got '"+(this.terminals_[m]||m)+"'":"Parse error on line "+(c+1)+": Unexpected "+(m==h?"end of input":"'"+(this.terminals_[m]||m)+"'"),this.parseError(A,{text:d.match,token:this.terminals_[m]||m,line:d.yylineno,loc:b,expected:C})}if(x[0]instanceof Array&&x.length>1)throw new Error("Parse Error: multiple actions possible at state: "+v+", token: "+m);switch(x[0]){case 1:n.push(m),r.push(d.yytext),a.push(d.yylloc),n.push(x[1]),m=null,u=d.yyleng,s=d.yytext,c=d.yylineno,b=d.yylloc;break;case 2:if(E=this.productions_[x[1]][1],S.$=r[r.length-E],S._$={first_line:a[a.length-(E||1)].first_line,last_line:a[a.length-1].last_line,first_column:a[a.length-(E||1)].first_column,last_column:a[a.length-1].last_column},w&&(S._$.range=[a[a.length-(E||1)].range[0],a[a.length-1].range[1]]),void 0!==(k=this.performAction.apply(S,[s,u,c,g.yy,x[1],r,a].concat(f))))return k;E&&(n=n.slice(0,-1*E*2),r=r.slice(0,-1*E),a=a.slice(0,-1*E)),n.push(this.productions_[x[1]][0]),r.push(S.$),a.push(S._$),T=o[n[n.length-2]][n[n.length-1]],n.push(T);break;case 3:return!0}}return!0}},C={EOF:1,parseError:function(t,e){if(!this.yy.parser)throw new Error(t);this.yy.parser.parseError(t,e)},setInput:function(t,e){return this.yy=e||this.yy||{},this._input=t,this._more=this._backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match="",this.conditionStack=["INITIAL"],this.yylloc={first_line:1,first_column:0,last_line:1,last_column:0},this.options.ranges&&(this.yylloc.range=[0,0]),this.offset=0,this},input:function(){var t=this._input[0];return this.yytext+=t,this.yyleng++,this.offset++,this.match+=t,this.matched+=t,t.match(/(?:\r\n?|\n).*/g)?(this.yylineno++,this.yylloc.last_line++):this.yylloc.last_column++,this.options.ranges&&this.yylloc.range[1]++,this._input=this._input.slice(1),t},unput:function(t){var e=t.length,n=t.split(/(?:\r\n?|\n)/g);this._input=t+this._input,this.yytext=this.yytext.substr(0,this.yytext.length-e),this.offset-=e;var i=this.match.split(/(?:\r\n?|\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),n.length-1&&(this.yylineno-=n.length-1);var r=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:n?(n.length===i.length?this.yylloc.first_column:0)+i[i.length-n.length].length-n[0].length:this.yylloc.first_column-e},this.options.ranges&&(this.yylloc.range=[r[0],r[0]+this.yyleng-e]),this.yyleng=this.yytext.length,this},more:function(){return this._more=!0,this},reject:function(){return this.options.backtrack_lexer?(this._backtrack=!0,this):this.parseError("Lexical error on line "+(this.yylineno+1)+". You can only invoke reject() in the lexer when the lexer is of the backtracking persuasion (options.backtrack_lexer = true).\n"+this.showPosition(),{text:"",token:null,line:this.yylineno})},less:function(t){this.unput(this.match.slice(t))},pastInput:function(){var t=this.matched.substr(0,this.matched.length-this.match.length);return(t.length>20?"...":"")+t.substr(-20).replace(/\n/g,"")},upcomingInput:function(){var t=this.match;return t.length<20&&(t+=this._input.substr(0,20-t.length)),(t.substr(0,20)+(t.length>20?"...":"")).replace(/\n/g,"")},showPosition:function(){var t=this.pastInput(),e=new Array(t.length+1).join("-");return t+this.upcomingInput()+"\n"+e+"^"},test_match:function(t,e){var n,i,r;if(this.options.backtrack_lexer&&(r={yylineno:this.yylineno,yylloc:{first_line:this.yylloc.first_line,last_line:this.last_line,first_column:this.yylloc.first_column,last_column:this.yylloc.last_column},yytext:this.yytext,match:this.match,matches:this.matches,matched:this.matched,yyleng:this.yyleng,offset:this.offset,_more:this._more,_input:this._input,yy:this.yy,conditionStack:this.conditionStack.slice(0),done:this.done},this.options.ranges&&(r.yylloc.range=this.yylloc.range.slice(0))),(i=t[0].match(/(?:\r\n?|\n).*/g))&&(this.yylineno+=i.length),this.yylloc={first_line:this.yylloc.last_line,last_line:this.yylineno+1,first_column:this.yylloc.last_column,last_column:i?i[i.length-1].length-i[i.length-1].match(/\r?\n?/)[0].length:this.yylloc.last_column+t[0].length},this.yytext+=t[0],this.match+=t[0],this.matches=t,this.yyleng=this.yytext.length,this.options.ranges&&(this.yylloc.range=[this.offset,this.offset+=this.yyleng]),this._more=!1,this._backtrack=!1,this._input=this._input.slice(t[0].length),this.matched+=t[0],n=this.performAction.call(this,this.yy,this,e,this.conditionStack[this.conditionStack.length-1]),this.done&&this._input&&(this.done=!1),n)return n;if(this._backtrack){for(var a in r)this[a]=r[a];return!1}return!1},next:function(){if(this.done)return this.EOF;var t,e,n,i;this._input||(this.done=!0),this._more||(this.yytext="",this.match="");for(var r=this._currentRules(),a=0;a<r.length;a++)if((n=this._input.match(this.rules[r[a]]))&&(!e||n[0].length>e[0].length)){if(e=n,i=a,this.options.backtrack_lexer){if(!1!==(t=this.test_match(n,r[a])))return t;if(this._backtrack){e=!1;continue}return!1}if(!this.options.flex)break}return e?!1!==(t=this.test_match(e,r[i]))&&t:""===this._input?this.EOF:this.parseError("Lexical error on line "+(this.yylineno+1)+". Unrecognized text.\n"+this.showPosition(),{text:"",token:null,line:this.yylineno})},lex:function(){var t=this.next();return t||this.lex()},begin:function(t){this.conditionStack.push(t)},popState:function(){return this.conditionStack.length-1>0?this.conditionStack.pop():this.conditionStack[0]},_currentRules:function(){return this.conditionStack.length&&this.conditionStack[this.conditionStack.length-1]?this.conditions[this.conditionStack[this.conditionStack.length-1]].rules:this.conditions.INITIAL.rules},topState:function(t){return(t=this.conditionStack.length-1-Math.abs(t||0))>=0?this.conditionStack[t]:"INITIAL"},pushState:function(t){this.begin(t)},stateStackSize:function(){return this.conditionStack.length},options:{"case-insensitive":!0},performAction:function(t,e,n,i){switch(n){case 0:return this.begin("acc_title"),25;case 1:return this.popState(),"acc_title_value";case 2:return this.begin("acc_descr"),27;case 3:return this.popState(),"acc_descr_value";case 4:this.begin("acc_descr_multiline");break;case 5:this.popState();break;case 6:return"acc_descr_multiline_value";case 7:return this.begin("open_directive"),52;case 8:return this.begin("type_directive"),53;case 9:return this.popState(),this.begin("arg_directive"),15;case 10:return this.popState(),this.popState(),55;case 11:return 54;case 12:return 11;case 13:case 20:case 25:break;case 14:return 9;case 15:return 31;case 16:return 51;case 17:return 4;case 18:return this.begin("block"),20;case 19:return 39;case 21:return 40;case 22:case 23:return 37;case 24:return 41;case 26:return this.popState(),22;case 27:case 57:return e.yytext[0];case 28:case 32:case 33:case 46:return 44;case 29:case 30:case 31:case 39:case 41:case 48:return 46;case 34:case 35:case 36:case 37:case 38:case 40:case 47:return 45;case 42:case 43:case 44:case 45:return 47;case 49:return 48;case 50:case 53:case 54:case 55:return 49;case 51:case 52:return 50;case 56:return 30;case 58:return 6}},rules:[/^(?:accTitle\s*:\s*)/i,/^(?:(?!\n||)*[^\n]*)/i,/^(?:accDescr\s*:\s*)/i,/^(?:(?!\n||)*[^\n]*)/i,/^(?:accDescr\s*\{\s*)/i,/^(?:[\}])/i,/^(?:[^\}]*)/i,/^(?:%%\{)/i,/^(?:((?:(?!\}%%)[^:.])*))/i,/^(?::)/i,/^(?:\}%%)/i,/^(?:((?:(?!\}%%).|\n)*))/i,/^(?:[\n]+)/i,/^(?:\s+)/i,/^(?:[\s]+)/i,/^(?:"[^"%\r\n\v\b\\]+")/i,/^(?:"[^"]*")/i,/^(?:erDiagram\b)/i,/^(?:\{)/i,/^(?:,)/i,/^(?:\s+)/i,/^(?:\b((?:PK)|(?:FK)|(?:UK))\b)/i,/^(?:(.*?)[~](.*?)*[~])/i,/^(?:[\*A-Za-z_][A-Za-z0-9\-_\[\]\(\)]*)/i,/^(?:"[^"]*")/i,/^(?:[\n]+)/i,/^(?:\})/i,/^(?:.)/i,/^(?:one or zero\b)/i,/^(?:one or more\b)/i,/^(?:one or many\b)/i,/^(?:1\+)/i,/^(?:\|o\b)/i,/^(?:zero or one\b)/i,/^(?:zero or more\b)/i,/^(?:zero or many\b)/i,/^(?:0\+)/i,/^(?:\}o\b)/i,/^(?:many\(0\))/i,/^(?:many\(1\))/i,/^(?:many\b)/i,/^(?:\}\|)/i,/^(?:one\b)/i,/^(?:only one\b)/i,/^(?:1\b)/i,/^(?:\|\|)/i,/^(?:o\|)/i,/^(?:o\{)/i,/^(?:\|\{)/i,/^(?:\s*u\b)/i,/^(?:\.\.)/i,/^(?:--)/i,/^(?:to\b)/i,/^(?:optionally 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n=new Error(t);throw n.hash=e,n}this.trace(t)},parse:function(t){var e=this,n=[0],i=[],r=[null],a=[],o=this.table,s="",c=0,u=0,l=2,h=1,f=a.slice.call(arguments,1),d=Object.create(this.lexer),g={yy:{}};for(var p in this.yy)Object.prototype.hasOwnProperty.call(this.yy,p)&&(g.yy[p]=this.yy[p]);d.setInput(t,g.yy),g.yy.lexer=d,g.yy.parser=this,void 0===d.yylloc&&(d.yylloc={});var b=d.yylloc;a.push(b);var w=d.options&&d.options.ranges;function y(){var t;return"number"!=typeof(t=i.pop()||d.lex()||h)&&(t instanceof Array&&(t=(i=t).pop()),t=e.symbols_[t]||t),t}"function"==typeof g.yy.parseError?this.parseError=g.yy.parseError:this.parseError=Object.getPrototypeOf(this).parseError;for(var m,v,x,k,_,E,T,C,S={};;){if(v=n[n.length-1],this.defaultActions[v]?x=this.defaultActions[v]:(null==m&&(m=y()),x=o[v]&&o[v][m]),void 0===x||!x.length||!x[0]){var A="";for(_ in C=[],o[v])this.terminals_[_]&&_>l&&C.push("'"+this.terminals_[_]+"'");A=d.showPosition?"Parse error on line "+(c+1)+":\n"+d.showPosition()+"\nExpecting "+C.join(", ")+", got '"+(this.terminals_[m]||m)+"'":"Parse error on line "+(c+1)+": Unexpected "+(m==h?"end of input":"'"+(this.terminals_[m]||m)+"'"),this.parseError(A,{text:d.match,token:this.terminals_[m]||m,line:d.yylineno,loc:b,expected:C})}if(x[0]instanceof Array&&x.length>1)throw new Error("Parse Error: multiple actions possible at state: "+v+", token: "+m);switch(x[0]){case 1:n.push(m),r.push(d.yytext),a.push(d.yylloc),n.push(x[1]),m=null,u=d.yyleng,s=d.yytext,c=d.yylineno,b=d.yylloc;break;case 2:if(E=this.productions_[x[1]][1],S.$=r[r.length-E],S._$={first_line:a[a.length-(E||1)].first_line,last_line:a[a.length-1].last_line,first_column:a[a.length-(E||1)].first_column,last_column:a[a.length-1].last_column},w&&(S._$.range=[a[a.length-(E||1)].range[0],a[a.length-1].range[1]]),void 0!==(k=this.performAction.apply(S,[s,u,c,g.yy,x[1],r,a].concat(f))))return k;E&&(n=n.slice(0,-1*E*2),r=r.slice(0,-1*E),a=a.slice(0,-1*E)),n.push(this.productions_[x[1]][0]),r.push(S.$),a.push(S._$),T=o[n[n.length-2]][n[n.length-1]],n.push(T);break;case 3:return!0}}return!0}},ee={EOF:1,parseError:function(t,e){if(!this.yy.parser)throw new Error(t);this.yy.parser.parseError(t,e)},setInput:function(t,e){return this.yy=e||this.yy||{},this._input=t,this._more=this._backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match="",this.conditionStack=["INITIAL"],this.yylloc={first_line:1,first_column:0,last_line:1,last_column:0},this.options.ranges&&(this.yylloc.range=[0,0]),this.offset=0,this},input:function(){var t=this._input[0];return this.yytext+=t,this.yyleng++,this.offset++,this.match+=t,this.matched+=t,t.match(/(?:\r\n?|\n).*/g)?(this.yylineno++,this.yylloc.last_line++):this.yylloc.last_column++,this.options.ranges&&this.yylloc.range[1]++,this._input=this._input.slice(1),t},unput:function(t){var e=t.length,n=t.split(/(?:\r\n?|\n)/g);this._input=t+this._input,this.yytext=this.yytext.substr(0,this.yytext.length-e),this.offset-=e;var i=this.match.split(/(?:\r\n?|\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),n.length-1&&(this.yylineno-=n.length-1);var r=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:n?(n.length===i.length?this.yylloc.first_column:0)+i[i.length-n.length].length-n[0].length:this.yylloc.first_column-e},this.options.ranges&&(this.yylloc.range=[r[0],r[0]+this.yyleng-e]),this.yyleng=this.yytext.length,this},more:function(){return this._more=!0,this},reject:function(){return this.options.backtrack_lexer?(this._backtrack=!0,this):this.parseError("Lexical error on line "+(this.yylineno+1)+". You can only invoke reject() in the lexer when the lexer is of the backtracking persuasion (options.backtrack_lexer = true).\n"+this.showPosition(),{text:"",token:null,line:this.yylineno})},less:function(t){this.unput(this.match.slice(t))},pastInput:function(){var t=this.matched.substr(0,this.matched.length-this.match.length);return(t.length>20?"...":"")+t.substr(-20).replace(/\n/g,"")},upcomingInput:function(){var t=this.match;return t.length<20&&(t+=this._input.substr(0,20-t.length)),(t.substr(0,20)+(t.length>20?"...":"")).replace(/\n/g,"")},showPosition:function(){var t=this.pastInput(),e=new Array(t.length+1).join("-");return t+this.upcomingInput()+"\n"+e+"^"},test_match:function(t,e){var n,i,r;if(this.options.backtrack_lexer&&(r={yylineno:this.yylineno,yylloc:{first_line:this.yylloc.first_line,last_line:this.last_line,first_column:this.yylloc.first_column,last_column:this.yylloc.last_column},yytext:this.yytext,match:this.match,matches:this.matches,matched:this.matched,yyleng:this.yyleng,offset:this.offset,_more:this._more,_input:this._input,yy:this.yy,conditionStack:this.conditionStack.slice(0),done:this.done},this.options.ranges&&(r.yylloc.range=this.yylloc.range.slice(0))),(i=t[0].match(/(?:\r\n?|\n).*/g))&&(this.yylineno+=i.length),this.yylloc={first_line:this.yylloc.last_line,last_line:this.yylineno+1,first_column:this.yylloc.last_column,last_column:i?i[i.length-1].length-i[i.length-1].match(/\r?\n?/)[0].length:this.yylloc.last_column+t[0].length},this.yytext+=t[0],this.match+=t[0],this.matches=t,this.yyleng=this.yytext.length,this.options.ranges&&(this.yylloc.range=[this.offset,this.offset+=this.yyleng]),this._more=!1,this._backtrack=!1,this._input=this._input.slice(t[0].length),this.matched+=t[0],n=this.performAction.call(this,this.yy,this,e,this.conditionStack[this.conditionStack.length-1]),this.done&&this._input&&(this.done=!1),n)return n;if(this._backtrack){for(var a in r)this[a]=r[a];return!1}return!1},next:function(){if(this.done)return this.EOF;var t,e,n,i;this._input||(this.done=!0),this._more||(this.yytext="",this.match="");for(var r=this._currentRules(),a=0;a<r.length;a++)if((n=this._input.match(this.rules[r[a]]))&&(!e||n[0].length>e[0].length)){if(e=n,i=a,this.options.backtrack_lexer){if(!1!==(t=this.test_match(n,r[a])))return t;if(this._backtrack){e=!1;continue}return!1}if(!this.options.flex)break}return e?!1!==(t=this.test_match(e,r[i]))&&t:""===this._input?this.EOF:this.parseError("Lexical error on line "+(this.yylineno+1)+". Unrecognized text.\n"+this.showPosition(),{text:"",token:null,line:this.yylineno})},lex:function(){var t=this.next();return t||this.lex()},begin:function(t){this.conditionStack.push(t)},popState:function(){return this.conditionStack.length-1>0?this.conditionStack.pop():this.conditionStack[0]},_currentRules:function(){return this.conditionStack.length&&this.conditionStack[this.conditionStack.length-1]?this.conditions[this.conditionStack[this.conditionStack.length-1]].rules:this.conditions.INITIAL.rules},topState:function(t){return(t=this.conditionStack.length-1-Math.abs(t||0))>=0?this.conditionStack[t]:"INITIAL"},pushState:function(t){this.begin(t)},stateStackSize:function(){return this.conditionStack.length},options:{},performAction:function(t,e,n,i){switch(n){case 0:return this.begin("open_directive"),12;case 1:return this.begin("type_directive"),13;case 2:return this.popState(),this.begin("arg_directive"),10;case 3:return this.popState(),this.popState(),15;case 4:return 14;case 5:return this.begin("acc_title"),45;case 6:return this.popState(),"acc_title_value";case 7:return this.begin("acc_descr"),47;case 8:return this.popState(),"acc_descr_value";case 9:this.begin("acc_descr_multiline");break;case 10:case 13:case 16:case 19:case 22:case 32:this.popState();break;case 11:return"acc_descr_multiline_value";case 12:this.begin("callbackname");break;case 14:this.popState(),this.begin("callbackargs");break;case 15:return 103;case 17:return 104;case 18:return"MD_STR";case 20:this.begin("md_string");break;case 21:return"STR";case 23:this.pushState("string");break;case 24:return 92;case 25:return 110;case 26:return 93;case 27:return 112;case 28:return 94;case 29:return 95;case 30:return 105;case 31:this.begin("click");break;case 33:return 96;case 34:case 35:case 36:return t.lex.firstGraph()&&this.begin("dir"),24;case 37:return 38;case 38:return 43;case 39:case 40:case 41:case 42:return 106;case 43:return this.popState(),25;case 44:case 45:case 46:case 47:case 48:case 49:case 50:case 51:case 52:case 53:return this.popState(),26;case 54:return 129;case 55:return 130;case 56:return 131;case 57:return 132;case 58:return 113;case 59:case 100:return 119;case 60:return 55;case 61:return 69;case 62:case 101:return 53;case 63:return 20;case 64:return 114;case 65:case 99:return 123;case 66:case 69:case 72:return this.popState(),86;case 67:return this.pushState("edgeText"),84;case 68:case 71:case 74:return 127;case 70:return this.pushState("thickEdgeText"),84;case 73:return this.pushState("dottedEdgeText"),84;case 75:return 86;case 76:return this.popState(),62;case 77:case 113:return"TEXT";case 78:return this.pushState("ellipseText"),61;case 79:return this.popState(),64;case 80:return this.pushState("text"),63;case 81:return this.popState(),66;case 82:return this.pushState("text"),65;case 83:return 67;case 84:return this.pushState("text"),76;case 85:return this.popState(),73;case 86:return this.pushState("text"),72;case 87:return this.popState(),58;case 88:return this.pushState("text"),57;case 89:return this.popState(),78;case 90:return this.popState(),80;case 91:return 125;case 92:return this.pushState("trapText"),77;case 93:return this.pushState("trapText"),79;case 94:return 126;case 95:return 76;case 96:return 98;case 97:return"SEP";case 98:return 97;case 102:return 117;case 103:return 122;case 104:return 124;case 105:return this.popState(),71;case 106:return this.pushState("text"),71;case 107:return this.popState(),60;case 108:return this.pushState("text"),59;case 109:return this.popState(),42;case 110:return this.pushState("text"),40;case 111:return this.popState(),75;case 112:return this.pushState("text"),74;case 114:return"QUOTE";case 115:return 21;case 116:return 22;case 117:return 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center;\n    max-width: 200px;\n    padding: 2px;\n    font-family: ${t.fontFamily};\n    font-size: 12px;\n    background: ${t.tertiaryColor};\n    border: 1px solid ${t.border2};\n    border-radius: 2px;\n    pointer-events: none;\n    z-index: 100;\n  }\n\n  .flowchartTitleText {\n    text-anchor: middle;\n    font-size: 18px;\n    fill: ${t.textColor};\n  }\n  .subgraph {\n    stroke-width:2;\n    rx:3;\n  }\n  // .subgraph-lvl-1 {\n  //   fill:#ccc;\n  //   // stroke:black;\n  // }\n\n  .flowchart-label text {\n    text-anchor: middle;\n  }\n\n  ${(t=>{let e="";for(let n=0;n<5;n++)e+=`\n      .subgraph-lvl-${n} {\n        fill: ${t[`surface${n}`]};\n        stroke: ${t[`surfacePeer${n}`]};\n      }\n    `;return e})(t)}\n`,x={db:i.d,renderer:m,parser:i.p,styles:v}},9773:(t,e,n)=>{"use strict";n.r(e),n.d(e,{diagram:()=>X});var i=n(7967),r=n(7484),a=n(9542),o=n(285),s=n(8734),c=n(9339),u=n(7274),l=(n(7856),function(){var t=function(t,e,n,i){for(n=n||{},i=t.length;i--;n[t[i]]=e);return n},e=[1,3],n=[1,5],i=[7,9,11,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,31,33,34,36,43,48],r=[1,32],a=[1,33],o=[1,34],s=[1,35],c=[1,36],u=[1,37],l=[1,38],h=[1,15],f=[1,16],d=[1,17],g=[1,18],p=[1,19],b=[1,20],w=[1,21],y=[1,22],m=[1,24],v=[1,25],x=[1,26],k=[1,27],_=[1,28],E=[1,30],T=[1,39],C=[1,42],S=[5,7,9,11,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,31,33,34,36,43,48],A={trace:function(){},yy:{},symbols_:{error:2,start:3,directive:4,gantt:5,document:6,EOF:7,line:8,SPACE:9,statement:10,NL:11,weekday:12,weekday_monday:13,weekday_tuesday:14,weekday_wednesday:15,weekday_thursday:16,weekday_friday:17,weekday_saturday:18,weekday_sunday:19,dateFormat:20,inclusiveEndDates:21,topAxis:22,axisFormat:23,tickInterval:24,excludes:25,includes:26,todayMarker:27,title:28,acc_title:29,acc_title_value:30,acc_descr:31,acc_descr_value:32,acc_descr_multiline_value:33,section:34,clickStatement:35,taskTxt:36,taskData:37,openDirective:38,typeDirective:39,closeDirective:40,":":41,argDirective:42,click:43,callbackname:44,callbackargs:45,href:46,clickStatementDebug:47,open_directive:48,type_directive:49,arg_directive:50,close_directive:51,$accept:0,$end:1},terminals_:{2:"error",5:"gantt",7:"EOF",9:"SPACE",11:"NL",13:"weekday_monday",14:"weekday_tuesday",15:"weekday_wednesday",16:"weekday_thursday",17:"weekday_friday",18:"weekday_saturday",19:"weekday_sunday",20:"dateFormat",21:"inclusiveEndDates",22:"topAxis",23:"axisFormat",24:"tickInterval",25:"excludes",26:"includes",27:"todayMarker",28:"title",29:"acc_title",30:"acc_title_value",31:"acc_descr",32:"acc_descr_value",33:"acc_descr_multiline_value",34:"section",36:"taskTxt",37:"taskData",41:":",43:"click",44:"callbackname",45:"callbackargs",46:"href",48:"open_directive",49:"type_directive",50:"arg_directive",51:"close_directive"},productions_:[0,[3,2],[3,3],[6,0],[6,2],[8,2],[8,1],[8,1],[8,1],[12,1],[12,1],[12,1],[12,1],[12,1],[12,1],[12,1],[10,1],[10,1],[10,1],[10,1],[10,1],[10,1],[10,1],[10,1],[10,1],[10,1],[10,2],[10,2],[10,1],[10,1],[10,1],[10,2],[10,1],[4,4],[4,6],[35,2],[35,3],[35,3],[35,4],[35,3],[35,4],[35,2],[47,2],[47,3],[47,3],[47,4],[47,3],[47,4],[47,2],[38,1],[39,1],[42,1],[40,1]],performAction:function(t,e,n,i,r,a,o){var s=a.length-1;switch(r){case 2:return a[s-1];case 3:case 7:case 8:this.$=[];break;case 4:a[s-1].push(a[s]),this.$=a[s-1];break;case 5:case 6:this.$=a[s];break;case 9:i.setWeekday("monday");break;case 10:i.setWeekday("tuesday");break;case 11:i.setWeekday("wednesday");break;case 12:i.setWeekday("thursday");break;case 13:i.setWeekday("friday");break;case 14:i.setWeekday("saturday");break;case 15:i.setWeekday("sunday");break;case 16:i.setDateFormat(a[s].substr(11)),this.$=a[s].substr(11);break;case 17:i.enableInclusiveEndDates(),this.$=a[s].substr(18);break;case 18:i.TopAxis(),this.$=a[s].substr(8);break;case 19:i.setAxisFormat(a[s].substr(11)),this.$=a[s].substr(11);break;case 20:i.setTickInterval(a[s].substr(13)),this.$=a[s].substr(13);break;case 21:i.setExcludes(a[s].substr(9)),this.$=a[s].substr(9);break;case 22:i.setIncludes(a[s].substr(9)),this.$=a[s].substr(9);break;case 23:i.setTodayMarker(a[s].substr(12)),this.$=a[s].substr(12);break;case 25:i.setDiagramTitle(a[s].substr(6)),this.$=a[s].substr(6);break;case 26:this.$=a[s].trim(),i.setAccTitle(this.$);break;case 27:case 28:this.$=a[s].trim(),i.setAccDescription(this.$);break;case 29:i.addSection(a[s].substr(8)),this.$=a[s].substr(8);break;case 31:i.addTask(a[s-1],a[s]),this.$="task";break;case 35:this.$=a[s-1],i.setClickEvent(a[s-1],a[s],null);break;case 36:this.$=a[s-2],i.setClickEvent(a[s-2],a[s-1],a[s]);break;case 37:this.$=a[s-2],i.setClickEvent(a[s-2],a[s-1],null),i.setLink(a[s-2],a[s]);break;case 38:this.$=a[s-3],i.setClickEvent(a[s-3],a[s-2],a[s-1]),i.setLink(a[s-3],a[s]);break;case 39:this.$=a[s-2],i.setClickEvent(a[s-2],a[s],null),i.setLink(a[s-2],a[s-1]);break;case 40:this.$=a[s-3],i.setClickEvent(a[s-3],a[s-1],a[s]),i.setLink(a[s-3],a[s-2]);break;case 41:this.$=a[s-1],i.setLink(a[s-1],a[s]);break;case 42:case 48:this.$=a[s-1]+" "+a[s];break;case 43:case 44:case 46:this.$=a[s-2]+" "+a[s-1]+" "+a[s];break;case 45:case 47:this.$=a[s-3]+" "+a[s-2]+" "+a[s-1]+" 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52:i.parseDirective("}%%","close_directive","gantt")}},table:[{3:1,4:2,5:e,38:4,48:n},{1:[3]},{3:6,4:2,5:e,38:4,48:n},t(i,[2,3],{6:7}),{39:8,49:[1,9]},{49:[2,49]},{1:[2,1]},{4:31,7:[1,10],8:11,9:[1,12],10:13,11:[1,14],12:23,13:r,14:a,15:o,16:s,17:c,18:u,19:l,20:h,21:f,22:d,23:g,24:p,25:b,26:w,27:y,28:m,29:v,31:x,33:k,34:_,35:29,36:E,38:4,43:T,48:n},{40:40,41:[1,41],51:C},t([41,51],[2,50]),t(i,[2,8],{1:[2,2]}),t(i,[2,4]),{4:31,10:43,12:23,13:r,14:a,15:o,16:s,17:c,18:u,19:l,20:h,21:f,22:d,23:g,24:p,25:b,26:w,27:y,28:m,29:v,31:x,33:k,34:_,35:29,36:E,38:4,43:T,48:n},t(i,[2,6]),t(i,[2,7]),t(i,[2,16]),t(i,[2,17]),t(i,[2,18]),t(i,[2,19]),t(i,[2,20]),t(i,[2,21]),t(i,[2,22]),t(i,[2,23]),t(i,[2,24]),t(i,[2,25]),{30:[1,44]},{32:[1,45]},t(i,[2,28]),t(i,[2,29]),t(i,[2,30]),{37:[1,46]},t(i,[2,32]),t(i,[2,9]),t(i,[2,10]),t(i,[2,11]),t(i,[2,12]),t(i,[2,13]),t(i,[2,14]),t(i,[2,15]),{44:[1,47],46:[1,48]},{11:[1,49]},{42:50,50:[1,51]},{11:[2,52]},t(i,[2,5]),t(i,[2,26]),t(i,[2,27]),t(i,[2,31]),t(i,[2,35],{45:[1,52],46:[1,53]}),t(i,[2,41],{44:[1,54]}),t(S,[2,33]),{40:55,51:C},{51:[2,51]},t(i,[2,36],{46:[1,56]}),t(i,[2,37]),t(i,[2,39],{45:[1,57]}),{11:[1,58]},t(i,[2,38]),t(i,[2,40]),t(S,[2,34])],defaultActions:{5:[2,49],6:[2,1],42:[2,52],51:[2,51]},parseError:function(t,e){if(!e.recoverable){var n=new Error(t);throw n.hash=e,n}this.trace(t)},parse:function(t){var e=this,n=[0],i=[],r=[null],a=[],o=this.table,s="",c=0,u=0,l=2,h=1,f=a.slice.call(arguments,1),d=Object.create(this.lexer),g={yy:{}};for(var p in this.yy)Object.prototype.hasOwnProperty.call(this.yy,p)&&(g.yy[p]=this.yy[p]);d.setInput(t,g.yy),g.yy.lexer=d,g.yy.parser=this,void 0===d.yylloc&&(d.yylloc={});var b=d.yylloc;a.push(b);var w=d.options&&d.options.ranges;function y(){var t;return"number"!=typeof(t=i.pop()||d.lex()||h)&&(t instanceof Array&&(t=(i=t).pop()),t=e.symbols_[t]||t),t}"function"==typeof g.yy.parseError?this.parseError=g.yy.parseError:this.parseError=Object.getPrototypeOf(this).parseError;for(var m,v,x,k,_,E,T,C,S={};;){if(v=n[n.length-1],this.defaultActions[v]?x=this.defaultActions[v]:(null==m&&(m=y()),x=o[v]&&o[v][m]),void 0===x||!x.length||!x[0]){var A="";for(_ in C=[],o[v])this.terminals_[_]&&_>l&&C.push("'"+this.terminals_[_]+"'");A=d.showPosition?"Parse error on line 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k;E&&(n=n.slice(0,-1*E*2),r=r.slice(0,-1*E),a=a.slice(0,-1*E)),n.push(this.productions_[x[1]][0]),r.push(S.$),a.push(S._$),T=o[n[n.length-2]][n[n.length-1]],n.push(T);break;case 3:return!0}}return!0}},M={EOF:1,parseError:function(t,e){if(!this.yy.parser)throw new Error(t);this.yy.parser.parseError(t,e)},setInput:function(t,e){return this.yy=e||this.yy||{},this._input=t,this._more=this._backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match="",this.conditionStack=["INITIAL"],this.yylloc={first_line:1,first_column:0,last_line:1,last_column:0},this.options.ranges&&(this.yylloc.range=[0,0]),this.offset=0,this},input:function(){var t=this._input[0];return this.yytext+=t,this.yyleng++,this.offset++,this.match+=t,this.matched+=t,t.match(/(?:\r\n?|\n).*/g)?(this.yylineno++,this.yylloc.last_line++):this.yylloc.last_column++,this.options.ranges&&this.yylloc.range[1]++,this._input=this._input.slice(1),t},unput:function(t){var e=t.length,n=t.split(/(?:\r\n?|\n)/g);this._input=t+this._input,this.yytext=this.yytext.substr(0,this.yytext.length-e),this.offset-=e;var i=this.match.split(/(?:\r\n?|\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),n.length-1&&(this.yylineno-=n.length-1);var r=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:n?(n.length===i.length?this.yylloc.first_column:0)+i[i.length-n.length].length-n[0].length:this.yylloc.first_column-e},this.options.ranges&&(this.yylloc.range=[r[0],r[0]+this.yyleng-e]),this.yyleng=this.yytext.length,this},more:function(){return this._more=!0,this},reject:function(){return this.options.backtrack_lexer?(this._backtrack=!0,this):this.parseError("Lexical error on line "+(this.yylineno+1)+". You can only invoke reject() in the lexer when the lexer is of the backtracking persuasion (options.backtrack_lexer = true).\n"+this.showPosition(),{text:"",token:null,line:this.yylineno})},less:function(t){this.unput(this.match.slice(t))},pastInput:function(){var t=this.matched.substr(0,this.matched.length-this.match.length);return(t.length>20?"...":"")+t.substr(-20).replace(/\n/g,"")},upcomingInput:function(){var t=this.match;return t.length<20&&(t+=this._input.substr(0,20-t.length)),(t.substr(0,20)+(t.length>20?"...":"")).replace(/\n/g,"")},showPosition:function(){var t=this.pastInput(),e=new Array(t.length+1).join("-");return t+this.upcomingInput()+"\n"+e+"^"},test_match:function(t,e){var n,i,r;if(this.options.backtrack_lexer&&(r={yylineno:this.yylineno,yylloc:{first_line:this.yylloc.first_line,last_line:this.last_line,first_column:this.yylloc.first_column,last_column:this.yylloc.last_column},yytext:this.yytext,match:this.match,matches:this.matches,matched:this.matched,yyleng:this.yyleng,offset:this.offset,_more:this._more,_input:this._input,yy:this.yy,conditionStack:this.conditionStack.slice(0),done:this.done},this.options.ranges&&(r.yylloc.range=this.yylloc.range.slice(0))),(i=t[0].match(/(?:\r\n?|\n).*/g))&&(this.yylineno+=i.length),this.yylloc={first_line:this.yylloc.last_line,last_line:this.yylineno+1,first_column:this.yylloc.last_column,last_column:i?i[i.length-1].length-i[i.length-1].match(/\r?\n?/)[0].length:this.yylloc.last_column+t[0].length},this.yytext+=t[0],this.match+=t[0],this.matches=t,this.yyleng=this.yytext.length,this.options.ranges&&(this.yylloc.range=[this.offset,this.offset+=this.yyleng]),this._more=!1,this._backtrack=!1,this._input=this._input.slice(t[0].length),this.matched+=t[0],n=this.performAction.call(this,this.yy,this,e,this.conditionStack[this.conditionStack.length-1]),this.done&&this._input&&(this.done=!1),n)return n;if(this._backtrack){for(var a in r)this[a]=r[a];return!1}return!1},next:function(){if(this.done)return this.EOF;var t,e,n,i;this._input||(this.done=!0),this._more||(this.yytext="",this.match="");for(var r=this._currentRules(),a=0;a<r.length;a++)if((n=this._input.match(this.rules[r[a]]))&&(!e||n[0].length>e[0].length)){if(e=n,i=a,this.options.backtrack_lexer){if(!1!==(t=this.test_match(n,r[a])))return t;if(this._backtrack){e=!1;continue}return!1}if(!this.options.flex)break}return e?!1!==(t=this.test_match(e,r[i]))&&t:""===this._input?this.EOF:this.parseError("Lexical error on line "+(this.yylineno+1)+". 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121:i.parseDirective("}%%","close_directive","gitGraph")}},table:[{3:1,4:2,5:3,6:e,8:n,14:i,46:8,50:r,55:a},{1:[3]},{3:10,4:2,5:3,6:e,8:n,14:i,46:8,50:r,55:a},{3:11,4:2,5:3,6:e,8:n,14:i,46:8,50:r,55:a},{7:12,8:o,9:[1,13],10:[1,14],11:15,14:s},t(c,[2,124]),t(c,[2,125]),t(c,[2,126]),{47:17,51:[1,18]},{51:[2,118]},{1:[2,1]},{1:[2,2]},{8:[1,19]},{7:20,8:o,11:15,14:s},{9:[1,21]},t(u,[2,10],{12:22,13:[1,23]}),t(l,[2,9]),{9:[1,25],48:24,53:h},t([9,53],[2,119]),{1:[2,3]},{8:[1,27]},{7:28,8:o,11:15,14:s},{8:[2,7],14:[1,31],15:29,16:30,17:32,18:33,19:34,20:[1,35],22:[1,36],24:[1,37],25:[1,38],26:39,27:[1,40],29:[1,44],32:[1,43],37:[1,42],40:[1,41]},t(l,[2,8]),t(f,[2,116]),{49:45,52:[1,46]},t(f,[2,121]),{1:[2,4]},{8:[1,47]},t(u,[2,11]),{4:48,8:n,14:i,55:a},t(u,[2,13]),t(d,[2,14]),t(d,[2,15]),t(d,[2,16]),{21:[1,49]},{23:[1,50]},t(d,[2,19]),t(d,[2,20]),t(d,[2,21]),{28:51,34:g,54:p},t(d,[2,111],{41:54,33:[1,57],34:[1,59],35:[1,55],38:[1,56],42:[1,58]}),{28:60,34:g,54:p},{33:[1,61],35:[1,62]},{28:63,34:g,54:p},{48:64,53:h},{53:[2,120]},{1:[2,5]},t(u,[2,12]),t(d,[2,17]),t(d,[2,18]),t(d,[2,22]),t(b,[2,122]),t(b,[2,123]),t(d,[2,46]),{34:[1,65]},{39:66,43:w,44:y,45:m},{34:[1,70]},{34:[1,71]},t(d,[2,112]),t(d,[2,30],{33:[1,72],35:[1,74],38:[1,73]}),{34:[1,75]},{34:[1,76],36:[1,77]},t(d,[2,23],{30:[1,78]}),t(f,[2,117]),t(d,[2,47],{33:[1,80],38:[1,79],42:[1,81]}),t(d,[2,48],{33:[1,83],35:[1,82],42:[1,84]}),t(v,[2,113]),t(v,[2,114]),t(v,[2,115]),t(d,[2,51],{35:[1,85],38:[1,86],42:[1,87]}),t(d,[2,62],{33:[1,90],35:[1,88],38:[1,89]}),{34:[1,91]},{39:92,43:w,44:y,45:m},{34:[1,93]},t(d,[2,25],{35:[1,94]}),{33:[1,95]},{33:[1,96]},{31:[1,97]},{39:98,43:w,44:y,45:m},{34:[1,99]},{34:[1,100]},{34:[1,101]},{34:[1,102]},{34:[1,103]},{34:[1,104]},{39:105,43:w,44:y,45:m},{34:[1,106]},{34:[1,107]},{39:108,43:w,44:y,45:m},{34:[1,109]},t(d,[2,31],{35:[1,111],38:[1,110]}),t(d,[2,32],{33:[1,113],35:[1,112]}),t(d,[2,33],{33:[1,114],38:[1,115]}),{34:[1,116],36:[1,117]},{34:[1,118]},{34:[1,119]},t(d,[2,24]),t(d,[2,49],{33:[1,120],42:[1,121]}),t(d,[2,53],{38:[1,122],42:[1,123]}),t(d,[2,63],{33:[1,125],38:[1,124]}),t(d,[2,50],{33:[1,126],42:[1,127]}),t(d,[2,55],{35:[1,128],42:[1,129]}),t(d,[2,66],{33:[1,131],35:[1,130]}),t(d,[2,52],{38:[1,132],42:[1,133]}),t(d,[2,54],{35:[1,134],42:[1,135]}),t(d,[2,67],{35:[1,137],38:[1,136]}),t(d,[2,64],{33:[1,139],38:[1,138]}),t(d,[2,65],{33:[1,141],35:[1,140]}),t(d,[2,68],{35:[1,143],38:[1,142]}),{39:144,43:w,44:y,45:m},{34:[1,145]},{34:[1,146]},{34:[1,147]},{34:[1,148]},{39:149,43:w,44:y,45:m},t(d,[2,26]),t(d,[2,27]),t(d,[2,28]),t(d,[2,29]),{34:[1,150]},{34:[1,151]},{39:152,43:w,44:y,45:m},{34:[1,153]},{39:154,43:w,44:y,45:m},{34:[1,155]},{34:[1,156]},{34:[1,157]},{34:[1,158]},{34:[1,159]},{34:[1,160]},{34:[1,161]},{39:162,43:w,44:y,45:m},{34:[1,163]},{34:[1,164]},{34:[1,165]},{39:166,43:w,44:y,45:m},{34:[1,167]},{39:168,43:w,44:y,45:m},{34:[1,169]},{34:[1,170]},{34:[1,171]},{39:172,43:w,44:y,45:m},{34:[1,173]},t(d,[2,37],{35:[1,174]}),t(d,[2,38],{38:[1,175]}),t(d,[2,36],{33:[1,176]}),t(d,[2,39],{35:[1,177]}),t(d,[2,34],{38:[1,178]}),t(d,[2,35],{33:[1,179]}),t(d,[2,60],{42:[1,180]}),t(d,[2,73],{33:[1,181]}),t(d,[2,61],{42:[1,182]}),t(d,[2,84],{38:[1,183]}),t(d,[2,74],{33:[1,184]}),t(d,[2,83],{38:[1,185]}),t(d,[2,59],{42:[1,186]}),t(d,[2,72],{33:[1,187]}),t(d,[2,58],{42:[1,188]}),t(d,[2,78],{35:[1,189]}),t(d,[2,71],{33:[1,190]}),t(d,[2,77],{35:[1,191]}),t(d,[2,57],{42:[1,192]}),t(d,[2,85],{38:[1,193]}),t(d,[2,56],{42:[1,194]}),t(d,[2,79],{35:[1,195]}),t(d,[2,80],{35:[1,196]}),t(d,[2,86],{38:[1,197]}),t(d,[2,70],{33:[1,198]}),t(d,[2,81],{38:[1,199]}),t(d,[2,69],{33:[1,200]}),t(d,[2,75],{35:[1,201]}),t(d,[2,76],{35:[1,202]}),t(d,[2,82],{38:[1,203]}),{34:[1,204]},{39:205,43:w,44:y,45:m},{34:[1,206]},{34:[1,207]},{39:208,43:w,44:y,45:m},{34:[1,209]},{34:[1,210]},{34:[1,211]},{34:[1,212]},{39:213,43:w,44:y,45:m},{34:[1,214]},{39:215,43:w,44:y,45:m},{34:[1,216]},{34:[1,217]},{34:[1,218]},{34:[1,219]},{34:[1,220]},{34:[1,221]},{34:[1,222]},{39:223,43:w,44:y,45:m},{34:[1,224]},{34:[1,225]},{34:[1,226]},{39:227,43:w,44:y,45:m},{34:[1,228]},{39:229,43:w,44:y,45:m},{34:[1,230]},{34:[1,231]},{34:[1,232]},{39:233,43:w,44:y,45:m},t(d,[2,40]),t(d,[2,42]),t(d,[2,41]),t(d,[2,43]),t(d,[2,45]),t(d,[2,44]),t(d,[2,101]),t(d,[2,102]),t(d,[2,99]),t(d,[2,100]),t(d,[2,104]),t(d,[2,103]),t(d,[2,108]),t(d,[2,107]),t(d,[2,106]),t(d,[2,105]),t(d,[2,110]),t(d,[2,109]),t(d,[2,98]),t(d,[2,97]),t(d,[2,96]),t(d,[2,95]),t(d,[2,93]),t(d,[2,94]),t(d,[2,92]),t(d,[2,91]),t(d,[2,90]),t(d,[2,89]),t(d,[2,87]),t(d,[2,88])],defaultActions:{9:[2,118],10:[2,1],11:[2,2],19:[2,3],27:[2,4],46:[2,120],47:[2,5]},parseError:function(t,e){if(!e.recoverable){var n=new Error(t);throw n.hash=e,n}this.trace(t)},parse:function(t){var e=this,n=[0],i=[],r=[null],a=[],o=this.table,s="",c=0,u=0,l=2,h=1,f=a.slice.call(arguments,1),d=Object.create(this.lexer),g={yy:{}};for(var p in this.yy)Object.prototype.hasOwnProperty.call(this.yy,p)&&(g.yy[p]=this.yy[p]);d.setInput(t,g.yy),g.yy.lexer=d,g.yy.parser=this,void 0===d.yylloc&&(d.yylloc={});var b=d.yylloc;a.push(b);var w=d.options&&d.options.ranges;function y(){var t;return"number"!=typeof(t=i.pop()||d.lex()||h)&&(t instanceof Array&&(t=(i=t).pop()),t=e.symbols_[t]||t),t}"function"==typeof g.yy.parseError?this.parseError=g.yy.parseError:this.parseError=Object.getPrototypeOf(this).parseError;for(var m,v,x,k,_,E,T,C,S={};;){if(v=n[n.length-1],this.defaultActions[v]?x=this.defaultActions[v]:(null==m&&(m=y()),x=o[v]&&o[v][m]),void 0===x||!x.length||!x[0]){var A="";for(_ in C=[],o[v])this.terminals_[_]&&_>l&&C.push("'"+this.terminals_[_]+"'");A=d.showPosition?"Parse error on line 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k;E&&(n=n.slice(0,-1*E*2),r=r.slice(0,-1*E),a=a.slice(0,-1*E)),n.push(this.productions_[x[1]][0]),r.push(S.$),a.push(S._$),T=o[n[n.length-2]][n[n.length-1]],n.push(T);break;case 3:return!0}}return!0}},k={EOF:1,parseError:function(t,e){if(!this.yy.parser)throw new Error(t);this.yy.parser.parseError(t,e)},setInput:function(t,e){return this.yy=e||this.yy||{},this._input=t,this._more=this._backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match="",this.conditionStack=["INITIAL"],this.yylloc={first_line:1,first_column:0,last_line:1,last_column:0},this.options.ranges&&(this.yylloc.range=[0,0]),this.offset=0,this},input:function(){var t=this._input[0];return this.yytext+=t,this.yyleng++,this.offset++,this.match+=t,this.matched+=t,t.match(/(?:\r\n?|\n).*/g)?(this.yylineno++,this.yylloc.last_line++):this.yylloc.last_column++,this.options.ranges&&this.yylloc.range[1]++,this._input=this._input.slice(1),t},unput:function(t){var e=t.length,n=t.split(/(?:\r\n?|\n)/g);this._input=t+this._input,this.yytext=this.yytext.substr(0,this.yytext.length-e),this.offset-=e;var i=this.match.split(/(?:\r\n?|\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),n.length-1&&(this.yylineno-=n.length-1);var r=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:n?(n.length===i.length?this.yylloc.first_column:0)+i[i.length-n.length].length-n[0].length:this.yylloc.first_column-e},this.options.ranges&&(this.yylloc.range=[r[0],r[0]+this.yyleng-e]),this.yyleng=this.yytext.length,this},more:function(){return this._more=!0,this},reject:function(){return this.options.backtrack_lexer?(this._backtrack=!0,this):this.parseError("Lexical error on line "+(this.yylineno+1)+". 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p=0;return(t=>m(t,t.children()))(e).forEach((function(t){const n=e.node(t);o.l.info("Position "+t+": "+JSON.stringify(e.node(t))),o.l.info("Position "+t+": ("+n.x,","+n.y,") width: ",n.width," height: ",n.height),n&&n.clusterNode?(0,a.p)(n):e.children(t).length>0?(((t,e)=>{o.l.trace("Inserting cluster");const n=e.shape||"rect";x[e.id]=v[n](t,e)})(h,n),l[n.id].node=n):(0,a.p)(n)})),e.edges().forEach((function(t){const i=e.edge(t);o.l.info("Edge "+t.v+" -> "+t.w+": "+JSON.stringify(i),i);const r=(0,a.g)(f,t,i,l,n,e);(0,a.h)(i,r)})),e.nodes().forEach((function(t){const n=e.node(t);o.l.info(t,n.type,n.diff),"group"===n.type&&(p=n.diff)})),{elem:u,diff:p}},_=async(t,e,n,i,s)=>{(0,a.a)(t,n,i,s),(0,a.b)(),(0,a.d)(),x={},h={},f={},l={},o.l.warn("Graph at first:",r.c(e)),((t,e)=>{!t||e>10?o.l.debug("Opting out, no graph "):(o.l.debug("Opting in, graph "),t.nodes().forEach((function(e){t.children(e).length>0&&(o.l.warn("Cluster identified",e," Replacement id in edges: 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this.yy=e||this.yy||{},this._input=t,this._more=this._backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match="",this.conditionStack=["INITIAL"],this.yylloc={first_line:1,first_column:0,last_line:1,last_column:0},this.options.ranges&&(this.yylloc.range=[0,0]),this.offset=0,this},input:function(){var t=this._input[0];return this.yytext+=t,this.yyleng++,this.offset++,this.match+=t,this.matched+=t,t.match(/(?:\r\n?|\n).*/g)?(this.yylineno++,this.yylloc.last_line++):this.yylloc.last_column++,this.options.ranges&&this.yylloc.range[1]++,this._input=this._input.slice(1),t},unput:function(t){var e=t.length,n=t.split(/(?:\r\n?|\n)/g);this._input=t+this._input,this.yytext=this.yytext.substr(0,this.yytext.length-e),this.offset-=e;var i=this.match.split(/(?:\r\n?|\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),n.length-1&&(this.yylineno-=n.length-1);var r=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:n?(n.length===i.length?this.yylloc.first_column:0)+i[i.length-n.length].length-n[0].length:this.yylloc.first_column-e},this.options.ranges&&(this.yylloc.range=[r[0],r[0]+this.yyleng-e]),this.yyleng=this.yytext.length,this},more:function(){return this._more=!0,this},reject:function(){return this.options.backtrack_lexer?(this._backtrack=!0,this):this.parseError("Lexical error on line "+(this.yylineno+1)+". 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this.yy)Object.prototype.hasOwnProperty.call(this.yy,p)&&(g.yy[p]=this.yy[p]);d.setInput(t,g.yy),g.yy.lexer=d,g.yy.parser=this,void 0===d.yylloc&&(d.yylloc={});var b=d.yylloc;a.push(b);var w=d.options&&d.options.ranges;function y(){var t;return"number"!=typeof(t=i.pop()||d.lex()||h)&&(t instanceof Array&&(t=(i=t).pop()),t=e.symbols_[t]||t),t}"function"==typeof g.yy.parseError?this.parseError=g.yy.parseError:this.parseError=Object.getPrototypeOf(this).parseError;for(var m,v,x,k,_,E,T,C,S={};;){if(v=n[n.length-1],this.defaultActions[v]?x=this.defaultActions[v]:(null==m&&(m=y()),x=o[v]&&o[v][m]),void 0===x||!x.length||!x[0]){var A="";for(_ in C=[],o[v])this.terminals_[_]&&_>l&&C.push("'"+this.terminals_[_]+"'");A=d.showPosition?"Parse error on line "+(c+1)+":\n"+d.showPosition()+"\nExpecting "+C.join(", ")+", got '"+(this.terminals_[m]||m)+"'":"Parse error on line "+(c+1)+": Unexpected "+(m==h?"end of 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t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScale"+t]=(0,g.Z)(this["cScale"+t],10),this["cScalePeer"+t]=this["cScalePeer"+t]||(0,g.Z)(this["cScale"+t],25);for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScaleInv"+t]=this["cScaleInv"+t]||l(this["cScale"+t],{h:180});for(let t=0;t<5;t++)this["surface"+t]=this["surface"+t]||l(this.mainBkg,{h:30,l:-(5+5*t)}),this["surfacePeer"+t]=this["surfacePeer"+t]||l(this.mainBkg,{h:30,l:-(7+5*t)});if(this.scaleLabelColor="calculated"!==this.scaleLabelColor&&this.scaleLabelColor?this.scaleLabelColor:this.labelTextColor,"calculated"!==this.labelTextColor){this.cScaleLabel0=this.cScaleLabel0||d(this.labelTextColor),this.cScaleLabel3=this.cScaleLabel3||d(this.labelTextColor);for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScaleLabel"+t]=this["cScaleLabel"+t]||this.labelTextColor}this.nodeBkg=this.mainBkg,this.nodeBorder=this.border1,this.clusterBkg=this.secondBkg,this.clusterBorder=this.border2,this.defaultLinkColor=this.lineColor,this.titleColor=this.textColor,this.edgeLabelBackground=this.labelBackground,this.actorBorder=(0,p.Z)(this.border1,23),this.actorBkg=this.mainBkg,this.labelBoxBkgColor=this.actorBkg,this.signalColor=this.textColor,this.signalTextColor=this.textColor,this.labelBoxBorderColor=this.actorBorder,this.labelTextColor=this.actorTextColor,this.loopTextColor=this.actorTextColor,this.noteBorderColor=this.border2,this.noteTextColor=this.actorTextColor,this.taskTextColor=this.taskTextLightColor,this.taskTextOutsideColor=this.taskTextDarkColor,this.transitionColor=this.transitionColor||this.lineColor,this.transitionLabelColor=this.transitionLabelColor||this.textColor,this.stateLabelColor=this.stateLabelColor||this.stateBkg||this.primaryTextColor,this.stateBkg=this.stateBkg||this.mainBkg,this.labelBackgroundColor=this.labelBackgroundColor||this.stateBkg,this.compositeBackground=this.compositeBackground||this.background||this.tertiaryColor,this.altBackground=this.altBackground||"#f0f0f0",this.compositeTitleBackground=this.compositeTitleBackground||this.mainBkg,this.compositeBorder=this.compositeBorder||this.nodeBorder,this.innerEndBackground=this.nodeBorder,this.specialStateColor=this.lineColor,this.errorBkgColor=this.errorBkgColor||this.tertiaryColor,this.errorTextColor=this.errorTextColor||this.tertiaryTextColor,this.transitionColor=this.transitionColor||this.lineColor,this.classText=this.primaryTextColor,this.fillType0=this.primaryColor,this.fillType1=this.secondaryColor,this.fillType2=l(this.primaryColor,{h:64}),this.fillType3=l(this.secondaryColor,{h:64}),this.fillType4=l(this.primaryColor,{h:-64}),this.fillType5=l(this.secondaryColor,{h:-64}),this.fillType6=l(this.primaryColor,{h:128}),this.fillType7=l(this.secondaryColor,{h:128}),this.pie1=this.pie1||this.primaryColor,this.pie2=this.pie2||this.secondaryColor,this.pie3=this.pie3||l(this.tertiaryColor,{l:-40}),this.pie4=this.pie4||l(this.primaryColor,{l:-10}),this.pie5=this.pie5||l(this.secondaryColor,{l:-30}),this.pie6=this.pie6||l(this.tertiaryColor,{l:-20}),this.pie7=this.pie7||l(this.primaryColor,{h:60,l:-20}),this.pie8=this.pie8||l(this.primaryColor,{h:-60,l:-40}),this.pie9=this.pie9||l(this.primaryColor,{h:120,l:-40}),this.pie10=this.pie10||l(this.primaryColor,{h:60,l:-40}),this.pie11=this.pie11||l(this.primaryColor,{h:-90,l:-40}),this.pie12=this.pie12||l(this.primaryColor,{h:120,l:-30}),this.pieTitleTextSize=this.pieTitleTextSize||"25px",this.pieTitleTextColor=this.pieTitleTextColor||this.taskTextDarkColor,this.pieSectionTextSize=this.pieSectionTextSize||"17px",this.pieSectionTextColor=this.pieSectionTextColor||this.textColor,this.pieLegendTextSize=this.pieLegendTextSize||"17px",this.pieLegendTextColor=this.pieLegendTextColor||this.taskTextDarkColor,this.pieStrokeColor=this.pieStrokeColor||"black",this.pieStrokeWidth=this.pieStrokeWidth||"2px",this.pieOuterStrokeWidth=this.pieOuterStrokeWidth||"2px",this.pieOuterStrokeColor=this.pieOuterStrokeColor||"black",this.pieOpacity=this.pieOpacity||"0.7",this.quadrant1Fill=this.quadrant1Fill||this.primaryColor,this.quadrant2Fill=this.quadrant2Fill||l(this.primaryColor,{r:5,g:5,b:5}),this.quadrant3Fill=this.quadrant3Fill||l(this.primaryColor,{r:10,g:10,b:10}),this.quadrant4Fill=this.quadrant4Fill||l(this.primaryColor,{r:15,g:15,b:15}),this.quadrant1TextFill=this.quadrant1TextFill||this.primaryTextColor,this.quadrant2TextFill=this.quadrant2TextFill||l(this.primaryTextColor,{r:-5,g:-5,b:-5}),this.quadrant3TextFill=this.quadrant3TextFill||l(this.primaryTextColor,{r:-10,g:-10,b:-10}),this.quadrant4TextFill=this.quadrant4TextFill||l(this.primaryTextColor,{r:-15,g:-15,b:-15}),this.quadrantPointFill=this.quadrantPointFill||(0,b.Z)(this.quadrant1Fill)?(0,p.Z)(this.quadrant1Fill):(0,g.Z)(this.quadrant1Fill),this.quadrantPointTextFill=this.quadrantPointTextFill||this.primaryTextColor,this.quadrantXAxisTextFill=this.quadrantXAxisTextFill||this.primaryTextColor,this.quadrantYAxisTextFill=this.quadrantYAxisTextFill||this.primaryTextColor,this.quadrantInternalBorderStrokeFill=this.quadrantInternalBorderStrokeFill||this.primaryBorderColor,this.quadrantExternalBorderStrokeFill=this.quadrantExternalBorderStrokeFill||this.primaryBorderColor,this.quadrantTitleFill=this.quadrantTitleFill||this.primaryTextColor,this.requirementBackground=this.requirementBackground||this.primaryColor,this.requirementBorderColor=this.requirementBorderColor||this.primaryBorderColor,this.requirementBorderSize=this.requirementBorderSize||"1",this.requirementTextColor=this.requirementTextColor||this.primaryTextColor,this.relationColor=this.relationColor||this.lineColor,this.relationLabelBackground=this.relationLabelBackground||this.labelBackground,this.relationLabelColor=this.relationLabelColor||this.actorTextColor,this.git0=this.git0||this.primaryColor,this.git1=this.git1||this.secondaryColor,this.git2=this.git2||this.tertiaryColor,this.git3=this.git3||l(this.primaryColor,{h:-30}),this.git4=this.git4||l(this.primaryColor,{h:-60}),this.git5=this.git5||l(this.primaryColor,{h:-90}),this.git6=this.git6||l(this.primaryColor,{h:60}),this.git7=this.git7||l(this.primaryColor,{h:120}),this.darkMode?(this.git0=(0,p.Z)(this.git0,25),this.git1=(0,p.Z)(this.git1,25),this.git2=(0,p.Z)(this.git2,25),this.git3=(0,p.Z)(this.git3,25),this.git4=(0,p.Z)(this.git4,25),this.git5=(0,p.Z)(this.git5,25),this.git6=(0,p.Z)(this.git6,25),this.git7=(0,p.Z)(this.git7,25)):(this.git0=(0,g.Z)(this.git0,25),this.git1=(0,g.Z)(this.git1,25),this.git2=(0,g.Z)(this.git2,25),this.git3=(0,g.Z)(this.git3,25),this.git4=(0,g.Z)(this.git4,25),this.git5=(0,g.Z)(this.git5,25),this.git6=(0,g.Z)(this.git6,25),this.git7=(0,g.Z)(this.git7,25)),this.gitInv0=this.gitInv0||(0,g.Z)(d(this.git0),25),this.gitInv1=this.gitInv1||d(this.git1),this.gitInv2=this.gitInv2||d(this.git2),this.gitInv3=this.gitInv3||d(this.git3),this.gitInv4=this.gitInv4||d(this.git4),this.gitInv5=this.gitInv5||d(this.git5),this.gitInv6=this.gitInv6||d(this.git6),this.gitInv7=this.gitInv7||d(this.git7),this.gitBranchLabel0=this.gitBranchLabel0||d(this.labelTextColor),this.gitBranchLabel1=this.gitBranchLabel1||this.labelTextColor,this.gitBranchLabel2=this.gitBranchLabel2||this.labelTextColor,this.gitBranchLabel3=this.gitBranchLabel3||d(this.labelTextColor),this.gitBranchLabel4=this.gitBranchLabel4||this.labelTextColor,this.gitBranchLabel5=this.gitBranchLabel5||this.labelTextColor,this.gitBranchLabel6=this.gitBranchLabel6||this.labelTextColor,this.gitBranchLabel7=this.gitBranchLabel7||this.labelTextColor,this.tagLabelColor=this.tagLabelColor||this.primaryTextColor,this.tagLabelBackground=this.tagLabelBackground||this.primaryColor,this.tagLabelBorder=this.tagBorder||this.primaryBorderColor,this.tagLabelFontSize=this.tagLabelFontSize||"10px",this.commitLabelColor=this.commitLabelColor||this.secondaryTextColor,this.commitLabelBackground=this.commitLabelBackground||this.secondaryColor,this.commitLabelFontSize=this.commitLabelFontSize||"10px",this.attributeBackgroundColorOdd=this.attributeBackgroundColorOdd||xt,this.attributeBackgroundColorEven=this.attributeBackgroundColorEven||kt}calculate(t){if("object"!=typeof t)return void this.updateColors();const e=Object.keys(t);e.forEach((e=>{this[e]=t[e]})),this.updateColors(),e.forEach((e=>{this[e]=t[e]}))}};return e.calculate(t),e};class Et{constructor(){this.primaryColor="#eee",this.contrast="#707070",this.secondaryColor=(0,p.Z)(this.contrast,55),this.background="#ffffff",this.tertiaryColor=l(this.primaryColor,{h:-160}),this.primaryBorderColor=vt(this.primaryColor,this.darkMode),this.secondaryBorderColor=vt(this.secondaryColor,this.darkMode),this.tertiaryBorderColor=vt(this.tertiaryColor,this.darkMode),this.primaryTextColor=d(this.primaryColor),this.secondaryTextColor=d(this.secondaryColor),this.tertiaryTextColor=d(this.tertiaryColor),this.lineColor=d(this.background),this.textColor=d(this.background),this.mainBkg="#eee",this.secondBkg="calculated",this.lineColor="#666",this.border1="#999",this.border2="calculated",this.note="#ffa",this.text="#333",this.critical="#d42",this.done="#bbb",this.arrowheadColor="#333333",this.fontFamily='"trebuchet ms", verdana, arial, sans-serif',this.fontSize="16px",this.THEME_COLOR_LIMIT=12,this.nodeBkg="calculated",this.nodeBorder="calculated",this.clusterBkg="calculated",this.clusterBorder="calculated",this.defaultLinkColor="calculated",this.titleColor="calculated",this.edgeLabelBackground="white",this.actorBorder="calculated",this.actorBkg="calculated",this.actorTextColor="calculated",this.actorLineColor="calculated",this.signalColor="calculated",this.signalTextColor="calculated",this.labelBoxBkgColor="calculated",this.labelBoxBorderColor="calculated",this.labelTextColor="calculated",this.loopTextColor="calculated",this.noteBorderColor="calculated",this.noteBkgColor="calculated",this.noteTextColor="calculated",this.activationBorderColor="#666",this.activationBkgColor="#f4f4f4",this.sequenceNumberColor="white",this.sectionBkgColor="calculated",this.altSectionBkgColor="white",this.sectionBkgColor2="calculated",this.excludeBkgColor="#eeeeee",this.taskBorderColor="calculated",this.taskBkgColor="calculated",this.taskTextLightColor="white",this.taskTextColor="calculated",this.taskTextDarkColor="calculated",this.taskTextOutsideColor="calculated",this.taskTextClickableColor="#003163",this.activeTaskBorderColor="calculated",this.activeTaskBkgColor="calculated",this.gridColor="calculated",this.doneTaskBkgColor="calculated",this.doneTaskBorderColor="calculated",this.critBkgColor="calculated",this.critBorderColor="calculated",this.todayLineColor="calculated",this.personBorder=this.primaryBorderColor,this.personBkg=this.mainBkg,this.labelColor="black",this.errorBkgColor="#552222",this.errorTextColor="#552222"}updateColors(){this.secondBkg=(0,p.Z)(this.contrast,55),this.border2=this.contrast,this.actorBorder=(0,p.Z)(this.border1,23),this.actorBkg=this.mainBkg,this.actorTextColor=this.text,this.actorLineColor=this.lineColor,this.signalColor=this.text,this.signalTextColor=this.text,this.labelBoxBkgColor=this.actorBkg,this.labelBoxBorderColor=this.actorBorder,this.labelTextColor=this.text,this.loopTextColor=this.text,this.noteBorderColor="#999",this.noteBkgColor="#666",this.noteTextColor="#fff",this.cScale0=this.cScale0||"#555",this.cScale1=this.cScale1||"#F4F4F4",this.cScale2=this.cScale2||"#555",this.cScale3=this.cScale3||"#BBB",this.cScale4=this.cScale4||"#777",this.cScale5=this.cScale5||"#999",this.cScale6=this.cScale6||"#DDD",this.cScale7=this.cScale7||"#FFF",this.cScale8=this.cScale8||"#DDD",this.cScale9=this.cScale9||"#BBB",this.cScale10=this.cScale10||"#999",this.cScale11=this.cScale11||"#777";for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScaleInv"+t]=this["cScaleInv"+t]||d(this["cScale"+t]);for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this.darkMode?this["cScalePeer"+t]=this["cScalePeer"+t]||(0,p.Z)(this["cScale"+t],10):this["cScalePeer"+t]=this["cScalePeer"+t]||(0,g.Z)(this["cScale"+t],10);this.scaleLabelColor=this.scaleLabelColor||(this.darkMode?"black":this.labelTextColor),this.cScaleLabel0=this.cScaleLabel0||this.cScale1,this.cScaleLabel2=this.cScaleLabel2||this.cScale1;for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScaleLabel"+t]=this["cScaleLabel"+t]||this.scaleLabelColor;for(let t=0;t<5;t++)this["surface"+t]=this["surface"+t]||l(this.mainBkg,{l:-(5+5*t)}),this["surfacePeer"+t]=this["surfacePeer"+t]||l(this.mainBkg,{l:-(8+5*t)});this.nodeBkg=this.mainBkg,this.nodeBorder=this.border1,this.clusterBkg=this.secondBkg,this.clusterBorder=this.border2,this.defaultLinkColor=this.lineColor,this.titleColor=this.text,this.sectionBkgColor=(0,p.Z)(this.contrast,30),this.sectionBkgColor2=(0,p.Z)(this.contrast,30),this.taskBorderColor=(0,g.Z)(this.contrast,10),this.taskBkgColor=this.contrast,this.taskTextColor=this.taskTextLightColor,this.taskTextDarkColor=this.text,this.taskTextOutsideColor=this.taskTextDarkColor,this.activeTaskBorderColor=this.taskBorderColor,this.activeTaskBkgColor=this.mainBkg,this.gridColor=(0,p.Z)(this.border1,30),this.doneTaskBkgColor=this.done,this.doneTaskBorderColor=this.lineColor,this.critBkgColor=this.critical,this.critBorderColor=(0,g.Z)(this.critBkgColor,10),this.todayLineColor=this.critBkgColor,this.transitionColor=this.transitionColor||"#000",this.transitionLabelColor=this.transitionLabelColor||this.textColor,this.stateLabelColor=this.stateLabelColor||this.stateBkg||this.primaryTextColor,this.stateBkg=this.stateBkg||this.mainBkg,this.labelBackgroundColor=this.labelBackgroundColor||this.stateBkg,this.compositeBackground=this.compositeBackground||this.background||this.tertiaryColor,this.altBackground=this.altBackground||"#f4f4f4",this.compositeTitleBackground=this.compositeTitleBackground||this.mainBkg,this.stateBorder=this.stateBorder||"#000",this.innerEndBackground=this.primaryBorderColor,this.specialStateColor="#222",this.errorBkgColor=this.errorBkgColor||this.tertiaryColor,this.errorTextColor=this.errorTextColor||this.tertiaryTextColor,this.classText=this.primaryTextColor,this.fillType0=this.primaryColor,this.fillType1=this.secondaryColor,this.fillType2=l(this.primaryColor,{h:64}),this.fillType3=l(this.secondaryColor,{h:64}),this.fillType4=l(this.primaryColor,{h:-64}),this.fillType5=l(this.secondaryColor,{h:-64}),this.fillType6=l(this.primaryColor,{h:128}),this.fillType7=l(this.secondaryColor,{h:128});for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["pie"+t]=this["cScale"+t];this.pie12=this.pie0,this.pieTitleTextSize=this.pieTitleTextSize||"25px",this.pieTitleTextColor=this.pieTitleTextColor||this.taskTextDarkColor,this.pieSectionTextSize=this.pieSectionTextSize||"17px",this.pieSectionTextColor=this.pieSectionTextColor||this.textColor,this.pieLegendTextSize=this.pieLegendTextSize||"17px",this.pieLegendTextColor=this.pieLegendTextColor||this.taskTextDarkColor,this.pieStrokeColor=this.pieStrokeColor||"black",this.pieStrokeWidth=this.pieStrokeWidth||"2px",this.pieOuterStrokeWidth=this.pieOuterStrokeWidth||"2px",this.pieOuterStrokeColor=this.pieOuterStrokeColor||"black",this.pieOpacity=this.pieOpacity||"0.7",this.quadrant1Fill=this.quadrant1Fill||this.primaryColor,this.quadrant2Fill=this.quadrant2Fill||l(this.primaryColor,{r:5,g:5,b:5}),this.quadrant3Fill=this.quadrant3Fill||l(this.primaryColor,{r:10,g:10,b:10}),this.quadrant4Fill=this.quadrant4Fill||l(this.primaryColor,{r:15,g:15,b:15}),this.quadrant1TextFill=this.quadrant1TextFill||this.primaryTextColor,this.quadrant2TextFill=this.quadrant2TextFill||l(this.primaryTextColor,{r:-5,g:-5,b:-5}),this.quadrant3TextFill=this.quadrant3TextFill||l(this.primaryTextColor,{r:-10,g:-10,b:-10}),this.quadrant4TextFill=this.quadrant4TextFill||l(this.primaryTextColor,{r:-15,g:-15,b:-15}),this.quadrantPointFill=this.quadrantPointFill||(0,b.Z)(this.quadrant1Fill)?(0,p.Z)(this.quadrant1Fill):(0,g.Z)(this.quadrant1Fill),this.quadrantPointTextFill=this.quadrantPointTextFill||this.primaryTextColor,this.quadrantXAxisTextFill=this.quadrantXAxisTextFill||this.primaryTextColor,this.quadrantYAxisTextFill=this.quadrantYAxisTextFill||this.primaryTextColor,this.quadrantInternalBorderStrokeFill=this.quadrantInternalBorderStrokeFill||this.primaryBorderColor,this.quadrantExternalBorderStrokeFill=this.quadrantExternalBorderStrokeFill||this.primaryBorderColor,this.quadrantTitleFill=this.quadrantTitleFill||this.primaryTextColor,this.requirementBackground=this.requirementBackground||this.primaryColor,this.requirementBorderColor=this.requirementBorderColor||this.primaryBorderColor,this.requirementBorderSize=this.requirementBorderSize||"1",this.requirementTextColor=this.requirementTextColor||this.primaryTextColor,this.relationColor=this.relationColor||this.lineColor,this.relationLabelBackground=this.relationLabelBackground||this.edgeLabelBackground,this.relationLabelColor=this.relationLabelColor||this.actorTextColor,this.git0=(0,g.Z)(this.pie1,25)||this.primaryColor,this.git1=this.pie2||this.secondaryColor,this.git2=this.pie3||this.tertiaryColor,this.git3=this.pie4||l(this.primaryColor,{h:-30}),this.git4=this.pie5||l(this.primaryColor,{h:-60}),this.git5=this.pie6||l(this.primaryColor,{h:-90}),this.git6=this.pie7||l(this.primaryColor,{h:60}),this.git7=this.pie8||l(this.primaryColor,{h:120}),this.gitInv0=this.gitInv0||d(this.git0),this.gitInv1=this.gitInv1||d(this.git1),this.gitInv2=this.gitInv2||d(this.git2),this.gitInv3=this.gitInv3||d(this.git3),this.gitInv4=this.gitInv4||d(this.git4),this.gitInv5=this.gitInv5||d(this.git5),this.gitInv6=this.gitInv6||d(this.git6),this.gitInv7=this.gitInv7||d(this.git7),this.branchLabelColor=this.branchLabelColor||this.labelTextColor,this.gitBranchLabel0=this.branchLabelColor,this.gitBranchLabel1="white",this.gitBranchLabel2=this.branchLabelColor,this.gitBranchLabel3="white",this.gitBranchLabel4=this.branchLabelColor,this.gitBranchLabel5=this.branchLabelColor,this.gitBranchLabel6=this.branchLabelColor,this.gitBranchLabel7=this.branchLabelColor,this.tagLabelColor=this.tagLabelColor||this.primaryTextColor,this.tagLabelBackground=this.tagLabelBackground||this.primaryColor,this.tagLabelBorder=this.tagBorder||this.primaryBorderColor,this.tagLabelFontSize=this.tagLabelFontSize||"10px",this.commitLabelColor=this.commitLabelColor||this.secondaryTextColor,this.commitLabelBackground=this.commitLabelBackground||this.secondaryColor,this.commitLabelFontSize=this.commitLabelFontSize||"10px",this.attributeBackgroundColorOdd=this.attributeBackgroundColorOdd||xt,this.attributeBackgroundColorEven=this.attributeBackgroundColorEven||kt}calculate(t){if("object"!=typeof t)return void this.updateColors();const e=Object.keys(t);e.forEach((e=>{this[e]=t[e]})),this.updateColors(),e.forEach((e=>{this[e]=t[e]}))}}const Tt={base:{getThemeVariables:t=>{const e=new class{constructor(){this.background="#f4f4f4",this.primaryColor="#fff4dd",this.noteBkgColor="#fff5ad",this.noteTextColor="#333",this.THEME_COLOR_LIMIT=12,this.fontFamily='"trebuchet ms", verdana, arial, sans-serif',this.fontSize="16px"}updateColors(){if(this.primaryTextColor=this.primaryTextColor||(this.darkMode?"#eee":"#333"),this.secondaryColor=this.secondaryColor||l(this.primaryColor,{h:-120}),this.tertiaryColor=this.tertiaryColor||l(this.primaryColor,{h:180,l:5}),this.primaryBorderColor=this.primaryBorderColor||vt(this.primaryColor,this.darkMode),this.secondaryBorderColor=this.secondaryBorderColor||vt(this.secondaryColor,this.darkMode),this.tertiaryBorderColor=this.tertiaryBorderColor||vt(this.tertiaryColor,this.darkMode),this.noteBorderColor=this.noteBorderColor||vt(this.noteBkgColor,this.darkMode),this.noteBkgColor=this.noteBkgColor||"#fff5ad",this.noteTextColor=this.noteTextColor||"#333",this.secondaryTextColor=this.secondaryTextColor||d(this.secondaryColor),this.tertiaryTextColor=this.tertiaryTextColor||d(this.tertiaryColor),this.lineColor=this.lineColor||d(this.background),this.arrowheadColor=this.arrowheadColor||d(this.background),this.textColor=this.textColor||this.primaryTextColor,this.border2=this.border2||this.tertiaryBorderColor,this.nodeBkg=this.nodeBkg||this.primaryColor,this.mainBkg=this.mainBkg||this.primaryColor,this.nodeBorder=this.nodeBorder||this.primaryBorderColor,this.clusterBkg=this.clusterBkg||this.tertiaryColor,this.clusterBorder=this.clusterBorder||this.tertiaryBorderColor,this.defaultLinkColor=this.defaultLinkColor||this.lineColor,this.titleColor=this.titleColor||this.tertiaryTextColor,this.edgeLabelBackground=this.edgeLabelBackground||(this.darkMode?(0,g.Z)(this.secondaryColor,30):this.secondaryColor),this.nodeTextColor=this.nodeTextColor||this.primaryTextColor,this.actorBorder=this.actorBorder||this.primaryBorderColor,this.actorBkg=this.actorBkg||this.mainBkg,this.actorTextColor=this.actorTextColor||this.primaryTextColor,this.actorLineColor=this.actorLineColor||"grey",this.labelBoxBkgColor=this.labelBoxBkgColor||this.actorBkg,this.signalColor=this.signalColor||this.textColor,this.signalTextColor=this.signalTextColor||this.textColor,this.labelBoxBorderColor=this.labelBoxBorderColor||this.actorBorder,this.labelTextColor=this.labelTextColor||this.actorTextColor,this.loopTextColor=this.loopTextColor||this.actorTextColor,this.activationBorderColor=this.activationBorderColor||(0,g.Z)(this.secondaryColor,10),this.activationBkgColor=this.activationBkgColor||this.secondaryColor,this.sequenceNumberColor=this.sequenceNumberColor||d(this.lineColor),this.sectionBkgColor=this.sectionBkgColor||this.tertiaryColor,this.altSectionBkgColor=this.altSectionBkgColor||"white",this.sectionBkgColor=this.sectionBkgColor||this.secondaryColor,this.sectionBkgColor2=this.sectionBkgColor2||this.primaryColor,this.excludeBkgColor=this.excludeBkgColor||"#eeeeee",this.taskBorderColor=this.taskBorderColor||this.primaryBorderColor,this.taskBkgColor=this.taskBkgColor||this.primaryColor,this.activeTaskBorderColor=this.activeTaskBorderColor||this.primaryColor,this.activeTaskBkgColor=this.activeTaskBkgColor||(0,p.Z)(this.primaryColor,23),this.gridColor=this.gridColor||"lightgrey",this.doneTaskBkgColor=this.doneTaskBkgColor||"lightgrey",this.doneTaskBorderColor=this.doneTaskBorderColor||"grey",this.critBorderColor=this.critBorderColor||"#ff8888",this.critBkgColor=this.critBkgColor||"red",this.todayLineColor=this.todayLineColor||"red",this.taskTextColor=this.taskTextColor||this.textColor,this.taskTextOutsideColor=this.taskTextOutsideColor||this.textColor,this.taskTextLightColor=this.taskTextLightColor||this.textColor,this.taskTextColor=this.taskTextColor||this.primaryTextColor,this.taskTextDarkColor=this.taskTextDarkColor||this.textColor,this.taskTextClickableColor=this.taskTextClickableColor||"#003163",this.personBorder=this.personBorder||this.primaryBorderColor,this.personBkg=this.personBkg||this.mainBkg,this.transitionColor=this.transitionColor||this.lineColor,this.transitionLabelColor=this.transitionLabelColor||this.textColor,this.stateLabelColor=this.stateLabelColor||this.stateBkg||this.primaryTextColor,this.stateBkg=this.stateBkg||this.mainBkg,this.labelBackgroundColor=this.labelBackgroundColor||this.stateBkg,this.compositeBackground=this.compositeBackground||this.background||this.tertiaryColor,this.altBackground=this.altBackground||this.tertiaryColor,this.compositeTitleBackground=this.compositeTitleBackground||this.mainBkg,this.compositeBorder=this.compositeBorder||this.nodeBorder,this.innerEndBackground=this.nodeBorder,this.errorBkgColor=this.errorBkgColor||this.tertiaryColor,this.errorTextColor=this.errorTextColor||this.tertiaryTextColor,this.transitionColor=this.transitionColor||this.lineColor,this.specialStateColor=this.lineColor,this.cScale0=this.cScale0||this.primaryColor,this.cScale1=this.cScale1||this.secondaryColor,this.cScale2=this.cScale2||this.tertiaryColor,this.cScale3=this.cScale3||l(this.primaryColor,{h:30}),this.cScale4=this.cScale4||l(this.primaryColor,{h:60}),this.cScale5=this.cScale5||l(this.primaryColor,{h:90}),this.cScale6=this.cScale6||l(this.primaryColor,{h:120}),this.cScale7=this.cScale7||l(this.primaryColor,{h:150}),this.cScale8=this.cScale8||l(this.primaryColor,{h:210,l:150}),this.cScale9=this.cScale9||l(this.primaryColor,{h:270}),this.cScale10=this.cScale10||l(this.primaryColor,{h:300}),this.cScale11=this.cScale11||l(this.primaryColor,{h:330}),this.darkMode)for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScale"+t]=(0,g.Z)(this["cScale"+t],75);else for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScale"+t]=(0,g.Z)(this["cScale"+t],25);for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScaleInv"+t]=this["cScaleInv"+t]||d(this["cScale"+t]);for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this.darkMode?this["cScalePeer"+t]=this["cScalePeer"+t]||(0,p.Z)(this["cScale"+t],10):this["cScalePeer"+t]=this["cScalePeer"+t]||(0,g.Z)(this["cScale"+t],10);this.scaleLabelColor=this.scaleLabelColor||this.labelTextColor;for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScaleLabel"+t]=this["cScaleLabel"+t]||this.scaleLabelColor;const t=this.darkMode?-4:-1;for(let e=0;e<5;e++)this["surface"+e]=this["surface"+e]||l(this.mainBkg,{h:180,s:-15,l:t*(5+3*e)}),this["surfacePeer"+e]=this["surfacePeer"+e]||l(this.mainBkg,{h:180,s:-15,l:t*(8+3*e)});this.classText=this.classText||this.textColor,this.fillType0=this.fillType0||this.primaryColor,this.fillType1=this.fillType1||this.secondaryColor,this.fillType2=this.fillType2||l(this.primaryColor,{h:64}),this.fillType3=this.fillType3||l(this.secondaryColor,{h:64}),this.fillType4=this.fillType4||l(this.primaryColor,{h:-64}),this.fillType5=this.fillType5||l(this.secondaryColor,{h:-64}),this.fillType6=this.fillType6||l(this.primaryColor,{h:128}),this.fillType7=this.fillType7||l(this.secondaryColor,{h:128}),this.pie1=this.pie1||this.primaryColor,this.pie2=this.pie2||this.secondaryColor,this.pie3=this.pie3||this.tertiaryColor,this.pie4=this.pie4||l(this.primaryColor,{l:-10}),this.pie5=this.pie5||l(this.secondaryColor,{l:-10}),this.pie6=this.pie6||l(this.tertiaryColor,{l:-10}),this.pie7=this.pie7||l(this.primaryColor,{h:60,l:-10}),this.pie8=this.pie8||l(this.primaryColor,{h:-60,l:-10}),this.pie9=this.pie9||l(this.primaryColor,{h:120,l:0}),this.pie10=this.pie10||l(this.primaryColor,{h:60,l:-20}),this.pie11=this.pie11||l(this.primaryColor,{h:-60,l:-20}),this.pie12=this.pie12||l(this.primaryColor,{h:120,l:-10}),this.pieTitleTextSize=this.pieTitleTextSize||"25px",this.pieTitleTextColor=this.pieTitleTextColor||this.taskTextDarkColor,this.pieSectionTextSize=this.pieSectionTextSize||"17px",this.pieSectionTextColor=this.pieSectionTextColor||this.textColor,this.pieLegendTextSize=this.pieLegendTextSize||"17px",this.pieLegendTextColor=this.pieLegendTextColor||this.taskTextDarkColor,this.pieStrokeColor=this.pieStrokeColor||"black",this.pieStrokeWidth=this.pieStrokeWidth||"2px",this.pieOuterStrokeWidth=this.pieOuterStrokeWidth||"2px",this.pieOuterStrokeColor=this.pieOuterStrokeColor||"black",this.pieOpacity=this.pieOpacity||"0.7",this.quadrant1Fill=this.quadrant1Fill||this.primaryColor,this.quadrant2Fill=this.quadrant2Fill||l(this.primaryColor,{r:5,g:5,b:5}),this.quadrant3Fill=this.quadrant3Fill||l(this.primaryColor,{r:10,g:10,b:10}),this.quadrant4Fill=this.quadrant4Fill||l(this.primaryColor,{r:15,g:15,b:15}),this.quadrant1TextFill=this.quadrant1TextFill||this.primaryTextColor,this.quadrant2TextFill=this.quadrant2TextFill||l(this.primaryTextColor,{r:-5,g:-5,b:-5}),this.quadrant3TextFill=this.quadrant3TextFill||l(this.primaryTextColor,{r:-10,g:-10,b:-10}),this.quadrant4TextFill=this.quadrant4TextFill||l(this.primaryTextColor,{r:-15,g:-15,b:-15}),this.quadrantPointFill=this.quadrantPointFill||(0,b.Z)(this.quadrant1Fill)?(0,p.Z)(this.quadrant1Fill):(0,g.Z)(this.quadrant1Fill),this.quadrantPointTextFill=this.quadrantPointTextFill||this.primaryTextColor,this.quadrantXAxisTextFill=this.quadrantXAxisTextFill||this.primaryTextColor,this.quadrantYAxisTextFill=this.quadrantYAxisTextFill||this.primaryTextColor,this.quadrantInternalBorderStrokeFill=this.quadrantInternalBorderStrokeFill||this.primaryBorderColor,this.quadrantExternalBorderStrokeFill=this.quadrantExternalBorderStrokeFill||this.primaryBorderColor,this.quadrantTitleFill=this.quadrantTitleFill||this.primaryTextColor,this.requirementBackground=this.requirementBackground||this.primaryColor,this.requirementBorderColor=this.requirementBorderColor||this.primaryBorderColor,this.requirementBorderSize=this.requirementBorderSize||"1",this.requirementTextColor=this.requirementTextColor||this.primaryTextColor,this.relationColor=this.relationColor||this.lineColor,this.relationLabelBackground=this.relationLabelBackground||(this.darkMode?(0,g.Z)(this.secondaryColor,30):this.secondaryColor),this.relationLabelColor=this.relationLabelColor||this.actorTextColor,this.git0=this.git0||this.primaryColor,this.git1=this.git1||this.secondaryColor,this.git2=this.git2||this.tertiaryColor,this.git3=this.git3||l(this.primaryColor,{h:-30}),this.git4=this.git4||l(this.primaryColor,{h:-60}),this.git5=this.git5||l(this.primaryColor,{h:-90}),this.git6=this.git6||l(this.primaryColor,{h:60}),this.git7=this.git7||l(this.primaryColor,{h:120}),this.darkMode?(this.git0=(0,p.Z)(this.git0,25),this.git1=(0,p.Z)(this.git1,25),this.git2=(0,p.Z)(this.git2,25),this.git3=(0,p.Z)(this.git3,25),this.git4=(0,p.Z)(this.git4,25),this.git5=(0,p.Z)(this.git5,25),this.git6=(0,p.Z)(this.git6,25),this.git7=(0,p.Z)(this.git7,25)):(this.git0=(0,g.Z)(this.git0,25),this.git1=(0,g.Z)(this.git1,25),this.git2=(0,g.Z)(this.git2,25),this.git3=(0,g.Z)(this.git3,25),this.git4=(0,g.Z)(this.git4,25),this.git5=(0,g.Z)(this.git5,25),this.git6=(0,g.Z)(this.git6,25),this.git7=(0,g.Z)(this.git7,25)),this.gitInv0=this.gitInv0||d(this.git0),this.gitInv1=this.gitInv1||d(this.git1),this.gitInv2=this.gitInv2||d(this.git2),this.gitInv3=this.gitInv3||d(this.git3),this.gitInv4=this.gitInv4||d(this.git4),this.gitInv5=this.gitInv5||d(this.git5),this.gitInv6=this.gitInv6||d(this.git6),this.gitInv7=this.gitInv7||d(this.git7),this.branchLabelColor=this.branchLabelColor||(this.darkMode?"black":this.labelTextColor),this.gitBranchLabel0=this.gitBranchLabel0||this.branchLabelColor,this.gitBranchLabel1=this.gitBranchLabel1||this.branchLabelColor,this.gitBranchLabel2=this.gitBranchLabel2||this.branchLabelColor,this.gitBranchLabel3=this.gitBranchLabel3||this.branchLabelColor,this.gitBranchLabel4=this.gitBranchLabel4||this.branchLabelColor,this.gitBranchLabel5=this.gitBranchLabel5||this.branchLabelColor,this.gitBranchLabel6=this.gitBranchLabel6||this.branchLabelColor,this.gitBranchLabel7=this.gitBranchLabel7||this.branchLabelColor,this.tagLabelColor=this.tagLabelColor||this.primaryTextColor,this.tagLabelBackground=this.tagLabelBackground||this.primaryColor,this.tagLabelBorder=this.tagBorder||this.primaryBorderColor,this.tagLabelFontSize=this.tagLabelFontSize||"10px",this.commitLabelColor=this.commitLabelColor||this.secondaryTextColor,this.commitLabelBackground=this.commitLabelBackground||this.secondaryColor,this.commitLabelFontSize=this.commitLabelFontSize||"10px",this.attributeBackgroundColorOdd=this.attributeBackgroundColorOdd||xt,this.attributeBackgroundColorEven=this.attributeBackgroundColorEven||kt}calculate(t){if("object"!=typeof t)return void this.updateColors();const e=Object.keys(t);e.forEach((e=>{this[e]=t[e]})),this.updateColors(),e.forEach((e=>{this[e]=t[e]}))}};return e.calculate(t),e}},dark:{getThemeVariables:t=>{const e=new class{constructor(){this.background="#333",this.primaryColor="#1f2020",this.secondaryColor=(0,p.Z)(this.primaryColor,16),this.tertiaryColor=l(this.primaryColor,{h:-160}),this.primaryBorderColor=d(this.background),this.secondaryBorderColor=vt(this.secondaryColor,this.darkMode),this.tertiaryBorderColor=vt(this.tertiaryColor,this.darkMode),this.primaryTextColor=d(this.primaryColor),this.secondaryTextColor=d(this.secondaryColor),this.tertiaryTextColor=d(this.tertiaryColor),this.lineColor=d(this.background),this.textColor=d(this.background),this.mainBkg="#1f2020",this.secondBkg="calculated",this.mainContrastColor="lightgrey",this.darkTextColor=(0,p.Z)(d("#323D47"),10),this.lineColor="calculated",this.border1="#81B1DB",this.border2=(0,h.Z)(255,255,255,.25),this.arrowheadColor="calculated",this.fontFamily='"trebuchet ms", verdana, arial, sans-serif',this.fontSize="16px",this.labelBackground="#181818",this.textColor="#ccc",this.THEME_COLOR_LIMIT=12,this.nodeBkg="calculated",this.nodeBorder="calculated",this.clusterBkg="calculated",this.clusterBorder="calculated",this.defaultLinkColor="calculated",this.titleColor="#F9FFFE",this.edgeLabelBackground="calculated",this.actorBorder="calculated",this.actorBkg="calculated",this.actorTextColor="calculated",this.actorLineColor="calculated",this.signalColor="calculated",this.signalTextColor="calculated",this.labelBoxBkgColor="calculated",this.labelBoxBorderColor="calculated",this.labelTextColor="calculated",this.loopTextColor="calculated",this.noteBorderColor="calculated",this.noteBkgColor="#fff5ad",this.noteTextColor="calculated",this.activationBorderColor="calculated",this.activationBkgColor="calculated",this.sequenceNumberColor="black",this.sectionBkgColor=(0,g.Z)("#EAE8D9",30),this.altSectionBkgColor="calculated",this.sectionBkgColor2="#EAE8D9",this.excludeBkgColor=(0,g.Z)(this.sectionBkgColor,10),this.taskBorderColor=(0,h.Z)(255,255,255,70),this.taskBkgColor="calculated",this.taskTextColor="calculated",this.taskTextLightColor="calculated",this.taskTextOutsideColor="calculated",this.taskTextClickableColor="#003163",this.activeTaskBorderColor=(0,h.Z)(255,255,255,50),this.activeTaskBkgColor="#81B1DB",this.gridColor="calculated",this.doneTaskBkgColor="calculated",this.doneTaskBorderColor="grey",this.critBorderColor="#E83737",this.critBkgColor="#E83737",this.taskTextDarkColor="calculated",this.todayLineColor="#DB5757",this.personBorder=this.primaryBorderColor,this.personBkg=this.mainBkg,this.labelColor="calculated",this.errorBkgColor="#a44141",this.errorTextColor="#ddd"}updateColors(){this.secondBkg=(0,p.Z)(this.mainBkg,16),this.lineColor=this.mainContrastColor,this.arrowheadColor=this.mainContrastColor,this.nodeBkg=this.mainBkg,this.nodeBorder=this.border1,this.clusterBkg=this.secondBkg,this.clusterBorder=this.border2,this.defaultLinkColor=this.lineColor,this.edgeLabelBackground=(0,p.Z)(this.labelBackground,25),this.actorBorder=this.border1,this.actorBkg=this.mainBkg,this.actorTextColor=this.mainContrastColor,this.actorLineColor=this.mainContrastColor,this.signalColor=this.mainContrastColor,this.signalTextColor=this.mainContrastColor,this.labelBoxBkgColor=this.actorBkg,this.labelBoxBorderColor=this.actorBorder,this.labelTextColor=this.mainContrastColor,this.loopTextColor=this.mainContrastColor,this.noteBorderColor=this.secondaryBorderColor,this.noteBkgColor=this.secondBkg,this.noteTextColor=this.secondaryTextColor,this.activationBorderColor=this.border1,this.activationBkgColor=this.secondBkg,this.altSectionBkgColor=this.background,this.taskBkgColor=(0,p.Z)(this.mainBkg,23),this.taskTextColor=this.darkTextColor,this.taskTextLightColor=this.mainContrastColor,this.taskTextOutsideColor=this.taskTextLightColor,this.gridColor=this.mainContrastColor,this.doneTaskBkgColor=this.mainContrastColor,this.taskTextDarkColor=this.darkTextColor,this.transitionColor=this.transitionColor||this.lineColor,this.transitionLabelColor=this.transitionLabelColor||this.textColor,this.stateLabelColor=this.stateLabelColor||this.stateBkg||this.primaryTextColor,this.stateBkg=this.stateBkg||this.mainBkg,this.labelBackgroundColor=this.labelBackgroundColor||this.stateBkg,this.compositeBackground=this.compositeBackground||this.background||this.tertiaryColor,this.altBackground=this.altBackground||"#555",this.compositeTitleBackground=this.compositeTitleBackground||this.mainBkg,this.compositeBorder=this.compositeBorder||this.nodeBorder,this.innerEndBackground=this.primaryBorderColor,this.specialStateColor="#f4f4f4",this.errorBkgColor=this.errorBkgColor||this.tertiaryColor,this.errorTextColor=this.errorTextColor||this.tertiaryTextColor,this.fillType0=this.primaryColor,this.fillType1=this.secondaryColor,this.fillType2=l(this.primaryColor,{h:64}),this.fillType3=l(this.secondaryColor,{h:64}),this.fillType4=l(this.primaryColor,{h:-64}),this.fillType5=l(this.secondaryColor,{h:-64}),this.fillType6=l(this.primaryColor,{h:128}),this.fillType7=l(this.secondaryColor,{h:128}),this.cScale1=this.cScale1||"#0b0000",this.cScale2=this.cScale2||"#4d1037",this.cScale3=this.cScale3||"#3f5258",this.cScale4=this.cScale4||"#4f2f1b",this.cScale5=this.cScale5||"#6e0a0a",this.cScale6=this.cScale6||"#3b0048",this.cScale7=this.cScale7||"#995a01",this.cScale8=this.cScale8||"#154706",this.cScale9=this.cScale9||"#161722",this.cScale10=this.cScale10||"#00296f",this.cScale11=this.cScale11||"#01629c",this.cScale12=this.cScale12||"#010029",this.cScale0=this.cScale0||this.primaryColor,this.cScale1=this.cScale1||this.secondaryColor,this.cScale2=this.cScale2||this.tertiaryColor,this.cScale3=this.cScale3||l(this.primaryColor,{h:30}),this.cScale4=this.cScale4||l(this.primaryColor,{h:60}),this.cScale5=this.cScale5||l(this.primaryColor,{h:90}),this.cScale6=this.cScale6||l(this.primaryColor,{h:120}),this.cScale7=this.cScale7||l(this.primaryColor,{h:150}),this.cScale8=this.cScale8||l(this.primaryColor,{h:210}),this.cScale9=this.cScale9||l(this.primaryColor,{h:270}),this.cScale10=this.cScale10||l(this.primaryColor,{h:300}),this.cScale11=this.cScale11||l(this.primaryColor,{h:330});for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScaleInv"+t]=this["cScaleInv"+t]||d(this["cScale"+t]);for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScalePeer"+t]=this["cScalePeer"+t]||(0,p.Z)(this["cScale"+t],10);for(let t=0;t<5;t++)this["surface"+t]=this["surface"+t]||l(this.mainBkg,{h:30,s:-30,l:-(4*t-10)}),this["surfacePeer"+t]=this["surfacePeer"+t]||l(this.mainBkg,{h:30,s:-30,l:-(4*t-7)});this.scaleLabelColor=this.scaleLabelColor||(this.darkMode?"black":this.labelTextColor);for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScaleLabel"+t]=this["cScaleLabel"+t]||this.scaleLabelColor;for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["pie"+t]=this["cScale"+t];this.pieTitleTextSize=this.pieTitleTextSize||"25px",this.pieTitleTextColor=this.pieTitleTextColor||this.taskTextDarkColor,this.pieSectionTextSize=this.pieSectionTextSize||"17px",this.pieSectionTextColor=this.pieSectionTextColor||this.textColor,this.pieLegendTextSize=this.pieLegendTextSize||"17px",this.pieLegendTextColor=this.pieLegendTextColor||this.taskTextDarkColor,this.pieStrokeColor=this.pieStrokeColor||"black",this.pieStrokeWidth=this.pieStrokeWidth||"2px",this.pieOuterStrokeWidth=this.pieOuterStrokeWidth||"2px",this.pieOuterStrokeColor=this.pieOuterStrokeColor||"black",this.pieOpacity=this.pieOpacity||"0.7",this.quadrant1Fill=this.quadrant1Fill||this.primaryColor,this.quadrant2Fill=this.quadrant2Fill||l(this.primaryColor,{r:5,g:5,b:5}),this.quadrant3Fill=this.quadrant3Fill||l(this.primaryColor,{r:10,g:10,b:10}),this.quadrant4Fill=this.quadrant4Fill||l(this.primaryColor,{r:15,g:15,b:15}),this.quadrant1TextFill=this.quadrant1TextFill||this.primaryTextColor,this.quadrant2TextFill=this.quadrant2TextFill||l(this.primaryTextColor,{r:-5,g:-5,b:-5}),this.quadrant3TextFill=this.quadrant3TextFill||l(this.primaryTextColor,{r:-10,g:-10,b:-10}),this.quadrant4TextFill=this.quadrant4TextFill||l(this.primaryTextColor,{r:-15,g:-15,b:-15}),this.quadrantPointFill=this.quadrantPointFill||(0,b.Z)(this.quadrant1Fill)?(0,p.Z)(this.quadrant1Fill):(0,g.Z)(this.quadrant1Fill),this.quadrantPointTextFill=this.quadrantPointTextFill||this.primaryTextColor,this.quadrantXAxisTextFill=this.quadrantXAxisTextFill||this.primaryTextColor,this.quadrantYAxisTextFill=this.quadrantYAxisTextFill||this.primaryTextColor,this.quadrantInternalBorderStrokeFill=this.quadrantInternalBorderStrokeFill||this.primaryBorderColor,this.quadrantExternalBorderStrokeFill=this.quadrantExternalBorderStrokeFill||this.primaryBorderColor,this.quadrantTitleFill=this.quadrantTitleFill||this.primaryTextColor,this.classText=this.primaryTextColor,this.requirementBackground=this.requirementBackground||this.primaryColor,this.requirementBorderColor=this.requirementBorderColor||this.primaryBorderColor,this.requirementBorderSize=this.requirementBorderSize||"1",this.requirementTextColor=this.requirementTextColor||this.primaryTextColor,this.relationColor=this.relationColor||this.lineColor,this.relationLabelBackground=this.relationLabelBackground||(this.darkMode?(0,g.Z)(this.secondaryColor,30):this.secondaryColor),this.relationLabelColor=this.relationLabelColor||this.actorTextColor,this.git0=(0,p.Z)(this.secondaryColor,20),this.git1=(0,p.Z)(this.pie2||this.secondaryColor,20),this.git2=(0,p.Z)(this.pie3||this.tertiaryColor,20),this.git3=(0,p.Z)(this.pie4||l(this.primaryColor,{h:-30}),20),this.git4=(0,p.Z)(this.pie5||l(this.primaryColor,{h:-60}),20),this.git5=(0,p.Z)(this.pie6||l(this.primaryColor,{h:-90}),10),this.git6=(0,p.Z)(this.pie7||l(this.primaryColor,{h:60}),10),this.git7=(0,p.Z)(this.pie8||l(this.primaryColor,{h:120}),20),this.gitInv0=this.gitInv0||d(this.git0),this.gitInv1=this.gitInv1||d(this.git1),this.gitInv2=this.gitInv2||d(this.git2),this.gitInv3=this.gitInv3||d(this.git3),this.gitInv4=this.gitInv4||d(this.git4),this.gitInv5=this.gitInv5||d(this.git5),this.gitInv6=this.gitInv6||d(this.git6),this.gitInv7=this.gitInv7||d(this.git7),this.gitBranchLabel0=this.gitBranchLabel0||d(this.labelTextColor),this.gitBranchLabel1=this.gitBranchLabel1||this.labelTextColor,this.gitBranchLabel2=this.gitBranchLabel2||this.labelTextColor,this.gitBranchLabel3=this.gitBranchLabel3||d(this.labelTextColor),this.gitBranchLabel4=this.gitBranchLabel4||this.labelTextColor,this.gitBranchLabel5=this.gitBranchLabel5||this.labelTextColor,this.gitBranchLabel6=this.gitBranchLabel6||this.labelTextColor,this.gitBranchLabel7=this.gitBranchLabel7||this.labelTextColor,this.tagLabelColor=this.tagLabelColor||this.primaryTextColor,this.tagLabelBackground=this.tagLabelBackground||this.primaryColor,this.tagLabelBorder=this.tagBorder||this.primaryBorderColor,this.tagLabelFontSize=this.tagLabelFontSize||"10px",this.commitLabelColor=this.commitLabelColor||this.secondaryTextColor,this.commitLabelBackground=this.commitLabelBackground||this.secondaryColor,this.commitLabelFontSize=this.commitLabelFontSize||"10px",this.attributeBackgroundColorOdd=this.attributeBackgroundColorOdd||(0,p.Z)(this.background,12),this.attributeBackgroundColorEven=this.attributeBackgroundColorEven||(0,p.Z)(this.background,2)}calculate(t){if("object"!=typeof t)return void this.updateColors();const e=Object.keys(t);e.forEach((e=>{this[e]=t[e]})),this.updateColors(),e.forEach((e=>{this[e]=t[e]}))}};return e.calculate(t),e}},default:{getThemeVariables:_t},forest:{getThemeVariables:t=>{const e=new class{constructor(){this.background="#f4f4f4",this.primaryColor="#cde498",this.secondaryColor="#cdffb2",this.background="white",this.mainBkg="#cde498",this.secondBkg="#cdffb2",this.lineColor="green",this.border1="#13540c",this.border2="#6eaa49",this.arrowheadColor="green",this.fontFamily='"trebuchet ms", verdana, arial, sans-serif',this.fontSize="16px",this.tertiaryColor=(0,p.Z)("#cde498",10),this.primaryBorderColor=vt(this.primaryColor,this.darkMode),this.secondaryBorderColor=vt(this.secondaryColor,this.darkMode),this.tertiaryBorderColor=vt(this.tertiaryColor,this.darkMode),this.primaryTextColor=d(this.primaryColor),this.secondaryTextColor=d(this.secondaryColor),this.tertiaryTextColor=d(this.primaryColor),this.lineColor=d(this.background),this.textColor=d(this.background),this.THEME_COLOR_LIMIT=12,this.nodeBkg="calculated",this.nodeBorder="calculated",this.clusterBkg="calculated",this.clusterBorder="calculated",this.defaultLinkColor="calculated",this.titleColor="#333",this.edgeLabelBackground="#e8e8e8",this.actorBorder="calculated",this.actorBkg="calculated",this.actorTextColor="black",this.actorLineColor="grey",this.signalColor="#333",this.signalTextColor="#333",this.labelBoxBkgColor="calculated",this.labelBoxBorderColor="#326932",this.labelTextColor="calculated",this.loopTextColor="calculated",this.noteBorderColor="calculated",this.noteBkgColor="#fff5ad",this.noteTextColor="calculated",this.activationBorderColor="#666",this.activationBkgColor="#f4f4f4",this.sequenceNumberColor="white",this.sectionBkgColor="#6eaa49",this.altSectionBkgColor="white",this.sectionBkgColor2="#6eaa49",this.excludeBkgColor="#eeeeee",this.taskBorderColor="calculated",this.taskBkgColor="#487e3a",this.taskTextLightColor="white",this.taskTextColor="calculated",this.taskTextDarkColor="black",this.taskTextOutsideColor="calculated",this.taskTextClickableColor="#003163",this.activeTaskBorderColor="calculated",this.activeTaskBkgColor="calculated",this.gridColor="lightgrey",this.doneTaskBkgColor="lightgrey",this.doneTaskBorderColor="grey",this.critBorderColor="#ff8888",this.critBkgColor="red",this.todayLineColor="red",this.personBorder=this.primaryBorderColor,this.personBkg=this.mainBkg,this.labelColor="black",this.errorBkgColor="#552222",this.errorTextColor="#552222"}updateColors(){this.actorBorder=(0,g.Z)(this.mainBkg,20),this.actorBkg=this.mainBkg,this.labelBoxBkgColor=this.actorBkg,this.labelTextColor=this.actorTextColor,this.loopTextColor=this.actorTextColor,this.noteBorderColor=this.border2,this.noteTextColor=this.actorTextColor,this.cScale0=this.cScale0||this.primaryColor,this.cScale1=this.cScale1||this.secondaryColor,this.cScale2=this.cScale2||this.tertiaryColor,this.cScale3=this.cScale3||l(this.primaryColor,{h:30}),this.cScale4=this.cScale4||l(this.primaryColor,{h:60}),this.cScale5=this.cScale5||l(this.primaryColor,{h:90}),this.cScale6=this.cScale6||l(this.primaryColor,{h:120}),this.cScale7=this.cScale7||l(this.primaryColor,{h:150}),this.cScale8=this.cScale8||l(this.primaryColor,{h:210}),this.cScale9=this.cScale9||l(this.primaryColor,{h:270}),this.cScale10=this.cScale10||l(this.primaryColor,{h:300}),this.cScale11=this.cScale11||l(this.primaryColor,{h:330}),this.cScalePeer1=this.cScalePeer1||(0,g.Z)(this.secondaryColor,45),this.cScalePeer2=this.cScalePeer2||(0,g.Z)(this.tertiaryColor,40);for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScale"+t]=(0,g.Z)(this["cScale"+t],10),this["cScalePeer"+t]=this["cScalePeer"+t]||(0,g.Z)(this["cScale"+t],25);for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScaleInv"+t]=this["cScaleInv"+t]||l(this["cScale"+t],{h:180});this.scaleLabelColor="calculated"!==this.scaleLabelColor&&this.scaleLabelColor?this.scaleLabelColor:this.labelTextColor;for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScaleLabel"+t]=this["cScaleLabel"+t]||this.scaleLabelColor;for(let t=0;t<5;t++)this["surface"+t]=this["surface"+t]||l(this.mainBkg,{h:30,s:-30,l:-(5+5*t)}),this["surfacePeer"+t]=this["surfacePeer"+t]||l(this.mainBkg,{h:30,s:-30,l:-(8+5*t)});this.nodeBkg=this.mainBkg,this.nodeBorder=this.border1,this.clusterBkg=this.secondBkg,this.clusterBorder=this.border2,this.defaultLinkColor=this.lineColor,this.taskBorderColor=this.border1,this.taskTextColor=this.taskTextLightColor,this.taskTextOutsideColor=this.taskTextDarkColor,this.activeTaskBorderColor=this.taskBorderColor,this.activeTaskBkgColor=this.mainBkg,this.transitionColor=this.transitionColor||this.lineColor,this.transitionLabelColor=this.transitionLabelColor||this.textColor,this.stateLabelColor=this.stateLabelColor||this.stateBkg||this.primaryTextColor,this.stateBkg=this.stateBkg||this.mainBkg,this.labelBackgroundColor=this.labelBackgroundColor||this.stateBkg,this.compositeBackground=this.compositeBackground||this.background||this.tertiaryColor,this.altBackground=this.altBackground||"#f0f0f0",this.compositeTitleBackground=this.compositeTitleBackground||this.mainBkg,this.compositeBorder=this.compositeBorder||this.nodeBorder,this.innerEndBackground=this.primaryBorderColor,this.specialStateColor=this.lineColor,this.errorBkgColor=this.errorBkgColor||this.tertiaryColor,this.errorTextColor=this.errorTextColor||this.tertiaryTextColor,this.transitionColor=this.transitionColor||this.lineColor,this.classText=this.primaryTextColor,this.fillType0=this.primaryColor,this.fillType1=this.secondaryColor,this.fillType2=l(this.primaryColor,{h:64}),this.fillType3=l(this.secondaryColor,{h:64}),this.fillType4=l(this.primaryColor,{h:-64}),this.fillType5=l(this.secondaryColor,{h:-64}),this.fillType6=l(this.primaryColor,{h:128}),this.fillType7=l(this.secondaryColor,{h:128}),this.pie1=this.pie1||this.primaryColor,this.pie2=this.pie2||this.secondaryColor,this.pie3=this.pie3||this.tertiaryColor,this.pie4=this.pie4||l(this.primaryColor,{l:-30}),this.pie5=this.pie5||l(this.secondaryColor,{l:-30}),this.pie6=this.pie6||l(this.tertiaryColor,{h:40,l:-40}),this.pie7=this.pie7||l(this.primaryColor,{h:60,l:-10}),this.pie8=this.pie8||l(this.primaryColor,{h:-60,l:-10}),this.pie9=this.pie9||l(this.primaryColor,{h:120,l:0}),this.pie10=this.pie10||l(this.primaryColor,{h:60,l:-50}),this.pie11=this.pie11||l(this.primaryColor,{h:-60,l:-50}),this.pie12=this.pie12||l(this.primaryColor,{h:120,l:-50}),this.pieTitleTextSize=this.pieTitleTextSize||"25px",this.pieTitleTextColor=this.pieTitleTextColor||this.taskTextDarkColor,this.pieSectionTextSize=this.pieSectionTextSize||"17px",this.pieSectionTextColor=this.pieSectionTextColor||this.textColor,this.pieLegendTextSize=this.pieLegendTextSize||"17px",this.pieLegendTextColor=this.pieLegendTextColor||this.taskTextDarkColor,this.pieStrokeColor=this.pieStrokeColor||"black",this.pieStrokeWidth=this.pieStrokeWidth||"2px",this.pieOuterStrokeWidth=this.pieOuterStrokeWidth||"2px",this.pieOuterStrokeColor=this.pieOuterStrokeColor||"black",this.pieOpacity=this.pieOpacity||"0.7",this.quadrant1Fill=this.quadrant1Fill||this.primaryColor,this.quadrant2Fill=this.quadrant2Fill||l(this.primaryColor,{r:5,g:5,b:5}),this.quadrant3Fill=this.quadrant3Fill||l(this.primaryColor,{r:10,g:10,b:10}),this.quadrant4Fill=this.quadrant4Fill||l(this.primaryColor,{r:15,g:15,b:15}),this.quadrant1TextFill=this.quadrant1TextFill||this.primaryTextColor,this.quadrant2TextFill=this.quadrant2TextFill||l(this.primaryTextColor,{r:-5,g:-5,b:-5}),this.quadrant3TextFill=this.quadrant3TextFill||l(this.primaryTextColor,{r:-10,g:-10,b:-10}),this.quadrant4TextFill=this.quadrant4TextFill||l(this.primaryTextColor,{r:-15,g:-15,b:-15}),this.quadrantPointFill=this.quadrantPointFill||(0,b.Z)(this.quadrant1Fill)?(0,p.Z)(this.quadrant1Fill):(0,g.Z)(this.quadrant1Fill),this.quadrantPointTextFill=this.quadrantPointTextFill||this.primaryTextColor,this.quadrantXAxisTextFill=this.quadrantXAxisTextFill||this.primaryTextColor,this.quadrantYAxisTextFill=this.quadrantYAxisTextFill||this.primaryTextColor,this.quadrantInternalBorderStrokeFill=this.quadrantInternalBorderStrokeFill||this.primaryBorderColor,this.quadrantExternalBorderStrokeFill=this.quadrantExternalBorderStrokeFill||this.primaryBorderColor,this.quadrantTitleFill=this.quadrantTitleFill||this.primaryTextColor,this.requirementBackground=this.requirementBackground||this.primaryColor,this.requirementBorderColor=this.requirementBorderColor||this.primaryBorderColor,this.requirementBorderSize=this.requirementBorderSize||"1",this.requirementTextColor=this.requirementTextColor||this.primaryTextColor,this.relationColor=this.relationColor||this.lineColor,this.relationLabelBackground=this.relationLabelBackground||this.edgeLabelBackground,this.relationLabelColor=this.relationLabelColor||this.actorTextColor,this.git0=this.git0||this.primaryColor,this.git1=this.git1||this.secondaryColor,this.git2=this.git2||this.tertiaryColor,this.git3=this.git3||l(this.primaryColor,{h:-30}),this.git4=this.git4||l(this.primaryColor,{h:-60}),this.git5=this.git5||l(this.primaryColor,{h:-90}),this.git6=this.git6||l(this.primaryColor,{h:60}),this.git7=this.git7||l(this.primaryColor,{h:120}),this.darkMode?(this.git0=(0,p.Z)(this.git0,25),this.git1=(0,p.Z)(this.git1,25),this.git2=(0,p.Z)(this.git2,25),this.git3=(0,p.Z)(this.git3,25),this.git4=(0,p.Z)(this.git4,25),this.git5=(0,p.Z)(this.git5,25),this.git6=(0,p.Z)(this.git6,25),this.git7=(0,p.Z)(this.git7,25)):(this.git0=(0,g.Z)(this.git0,25),this.git1=(0,g.Z)(this.git1,25),this.git2=(0,g.Z)(this.git2,25),this.git3=(0,g.Z)(this.git3,25),this.git4=(0,g.Z)(this.git4,25),this.git5=(0,g.Z)(this.git5,25),this.git6=(0,g.Z)(this.git6,25),this.git7=(0,g.Z)(this.git7,25)),this.gitInv0=this.gitInv0||d(this.git0),this.gitInv1=this.gitInv1||d(this.git1),this.gitInv2=this.gitInv2||d(this.git2),this.gitInv3=this.gitInv3||d(this.git3),this.gitInv4=this.gitInv4||d(this.git4),this.gitInv5=this.gitInv5||d(this.git5),this.gitInv6=this.gitInv6||d(this.git6),this.gitInv7=this.gitInv7||d(this.git7),this.gitBranchLabel0=this.gitBranchLabel0||d(this.labelTextColor),this.gitBranchLabel1=this.gitBranchLabel1||this.labelTextColor,this.gitBranchLabel2=this.gitBranchLabel2||this.labelTextColor,this.gitBranchLabel3=this.gitBranchLabel3||d(this.labelTextColor),this.gitBranchLabel4=this.gitBranchLabel4||this.labelTextColor,this.gitBranchLabel5=this.gitBranchLabel5||this.labelTextColor,this.gitBranchLabel6=this.gitBranchLabel6||this.labelTextColor,this.gitBranchLabel7=this.gitBranchLabel7||this.labelTextColor,this.tagLabelColor=this.tagLabelColor||this.primaryTextColor,this.tagLabelBackground=this.tagLabelBackground||this.primaryColor,this.tagLabelBorder=this.tagBorder||this.primaryBorderColor,this.tagLabelFontSize=this.tagLabelFontSize||"10px",this.commitLabelColor=this.commitLabelColor||this.secondaryTextColor,this.commitLabelBackground=this.commitLabelBackground||this.secondaryColor,this.commitLabelFontSize=this.commitLabelFontSize||"10px",this.attributeBackgroundColorOdd=this.attributeBackgroundColorOdd||xt,this.attributeBackgroundColorEven=this.attributeBackgroundColorEven||kt}calculate(t){if("object"!=typeof t)return void this.updateColors();const e=Object.keys(t);e.forEach((e=>{this[e]=t[e]})),this.updateColors(),e.forEach((e=>{this[e]=t[e]}))}};return e.calculate(t),e}},neutral:{getThemeVariables:t=>{const e=new Et;return e.calculate(t),e}}},Ct={flowchart:{useMaxWidth:!0,titleTopMargin:25,diagramPadding:8,htmlLabels:!0,nodeSpacing:50,rankSpacing:50,curve:"basis",padding:15,defaultRenderer:"dagre-wrapper",wrappingWidth:200},sequence:{useMaxWidth:!0,hideUnusedParticipants:!1,activationWidth:10,diagramMarginX:50,diagramMarginY:10,actorMargin:50,width:150,height:65,boxMargin:10,boxTextMargin:5,noteMargin:10,messageMargin:35,messageAlign:"center",mirrorActors:!0,forceMenus:!1,bottomMarginAdj:1,rightAngles:!1,showSequenceNumbers:!1,actorFontSize:14,actorFontFamily:'"Open Sans", sans-serif',actorFontWeight:400,noteFontSize:14,noteFontFamily:'"trebuchet ms", verdana, arial, sans-serif',noteFontWeight:400,noteAlign:"center",messageFontSize:16,messageFontFamily:'"trebuchet ms", verdana, arial, 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s=a.length-1;switch(r){case 4:i.setShowData(!0);break;case 7:this.$=a[s-1];break;case 9:i.addSection(a[s-1],i.cleanupValue(a[s]));break;case 10:this.$=a[s].trim(),i.setDiagramTitle(this.$);break;case 11:this.$=a[s].trim(),i.setAccTitle(this.$);break;case 12:case 13:this.$=a[s].trim(),i.setAccDescription(this.$);break;case 14:i.addSection(a[s].substr(8)),this.$=a[s].substr(8);break;case 21:i.parseDirective("%%{","open_directive");break;case 22:i.parseDirective(a[s],"type_directive");break;case 23:a[s]=a[s].trim().replace(/'/g,'"'),i.parseDirective(a[s],"arg_directive");break;case 24:i.parseDirective("}%%","close_directive","pie")}},table:[{3:1,4:2,5:3,6:e,21:8,26:n,27:i,28:r,29:a},{1:[3]},{3:10,4:2,5:3,6:e,21:8,26:n,27:i,28:r,29:a},{3:11,4:2,5:3,6:e,21:8,26:n,27:i,28:r,29:a},t(o,s,{7:12,8:[1,13]}),t(c,[2,18]),t(c,[2,19]),t(c,[2,20]),{22:14,30:[1,15]},{30:[2,21]},{1:[2,1]},{1:[2,2]},t(u,l,{21:8,9:16,10:17,5:24,1:[2,3],11:h,13:f,15:d,17:g,19:p,20:b,29:a}),t(o,s,{7:25}),{23:26,24:[1,27],32:w},t([24,32],[2,22]),t(o,[2,6]),{4:29,26:n,27:i,28:r},{12:[1,30]},{14:[1,31]},{16:[1,32]},{18:[1,33]},t(u,[2,13]),t(u,[2,14]),t(u,[2,15]),t(u,l,{21:8,9:16,10:17,5:24,1:[2,4],11:h,13:f,15:d,17:g,19:p,20:b,29:a}),t(y,[2,16]),{25:34,31:[1,35]},t(y,[2,24]),t(o,[2,7]),t(u,[2,9]),t(u,[2,10]),t(u,[2,11]),t(u,[2,12]),{23:36,32:w},{32:[2,23]},t(y,[2,17])],defaultActions:{9:[2,21],10:[2,1],11:[2,2],35:[2,23]},parseError:function(t,e){if(!e.recoverable){var n=new Error(t);throw n.hash=e,n}this.trace(t)},parse:function(t){var e=this,n=[0],i=[],r=[null],a=[],o=this.table,s="",c=0,u=0,l=2,h=1,f=a.slice.call(arguments,1),d=Object.create(this.lexer),g={yy:{}};for(var p in this.yy)Object.prototype.hasOwnProperty.call(this.yy,p)&&(g.yy[p]=this.yy[p]);d.setInput(t,g.yy),g.yy.lexer=d,g.yy.parser=this,void 0===d.yylloc&&(d.yylloc={});var b=d.yylloc;a.push(b);var w=d.options&&d.options.ranges;function y(){var t;return"number"!=typeof(t=i.pop()||d.lex()||h)&&(t instanceof Array&&(t=(i=t).pop()),t=e.symbols_[t]||t),t}"function"==typeof g.yy.parseError?this.parseError=g.yy.parseError:this.parseError=Object.getPrototypeOf(this).parseError;for(var m,v,x,k,_,E,T,C,S={};;){if(v=n[n.length-1],this.defaultActions[v]?x=this.defaultActions[v]:(null==m&&(m=y()),x=o[v]&&o[v][m]),void 0===x||!x.length||!x[0]){var A="";for(_ in C=[],o[v])this.terminals_[_]&&_>l&&C.push("'"+this.terminals_[_]+"'");A=d.showPosition?"Parse error on line "+(c+1)+":\n"+d.showPosition()+"\nExpecting "+C.join(", ")+", got 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e=t.length,n=t.split(/(?:\r\n?|\n)/g);this._input=t+this._input,this.yytext=this.yytext.substr(0,this.yytext.length-e),this.offset-=e;var i=this.match.split(/(?:\r\n?|\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),n.length-1&&(this.yylineno-=n.length-1);var r=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:n?(n.length===i.length?this.yylloc.first_column:0)+i[i.length-n.length].length-n[0].length:this.yylloc.first_column-e},this.options.ranges&&(this.yylloc.range=[r[0],r[0]+this.yyleng-e]),this.yyleng=this.yytext.length,this},more:function(){return this._more=!0,this},reject:function(){return this.options.backtrack_lexer?(this._backtrack=!0,this):this.parseError("Lexical error on line "+(this.yylineno+1)+". 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4:return 31;case 5:case 6:case 8:case 9:break;case 7:return 26;case 10:return this.begin("title"),13;case 11:return this.popState(),"title_value";case 12:return this.begin("acc_title"),15;case 13:return this.popState(),"acc_title_value";case 14:return this.begin("acc_descr"),17;case 15:return this.popState(),"acc_descr_value";case 16:this.begin("acc_descr_multiline");break;case 17:case 20:this.popState();break;case 18:return"acc_descr_multiline_value";case 19:this.begin("string");break;case 21:return"txt";case 22:return 6;case 23:return 8;case 24:return"value";case 25:return 28}},rules:[/^(?:%%\{)/i,/^(?:((?:(?!\}%%)[^:.])*))/i,/^(?::)/i,/^(?:\}%%)/i,/^(?:((?:(?!\}%%).|\n)*))/i,/^(?:%%(?!\{)[^\n]*)/i,/^(?:[^\}]%%[^\n]*)/i,/^(?:[\n\r]+)/i,/^(?:%%[^\n]*)/i,/^(?:[\s]+)/i,/^(?:title\b)/i,/^(?:(?!\n||)*[^\n]*)/i,/^(?:accTitle\s*:\s*)/i,/^(?:(?!\n||)*[^\n]*)/i,/^(?:accDescr\s*:\s*)/i,/^(?:(?!\n||)*[^\n]*)/i,/^(?:accDescr\s*\{\s*)/i,/^(?:[\}])/i,/^(?:[^\}]*)/i,/^(?:["])/i,/^(?:["])/i,/^(?:[^"]*)/i,/^(?:pie\b)/i,/^(?:showData\b)/i,/^(?::[\s]*[\d]+(?:\.[\d]+)?)/i,/^(?:$)/i],conditions:{acc_descr_multiline:{rules:[17,18],inclusive:!1},acc_descr:{rules:[15],inclusive:!1},acc_title:{rules:[13],inclusive:!1},close_directive:{rules:[],inclusive:!1},arg_directive:{rules:[3,4],inclusive:!1},type_directive:{rules:[2,3],inclusive:!1},open_directive:{rules:[1],inclusive:!1},title:{rules:[11],inclusive:!1},string:{rules:[20,21],inclusive:!1},INITIAL:{rules:[0,5,6,7,8,9,10,12,14,16,19,22,23,24,25],inclusive:!0}}};function x(){this.yy={}}return 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g=18,p=d.append("g");p.attr("transform","translate("+f/2+",225)");const{themeVariables:b}=u;let[w]=(0,i.F)(b.pieOuterStrokeWidth);w??(w=2);const y=l.textPosition,m=Math.min(f,h)/2-40,v=(0,r.Nb1)().innerRadius(0).outerRadius(m),x=(0,r.Nb1)().innerRadius(m*y).outerRadius(m*y);p.append("circle").attr("cx",0).attr("cy",0).attr("r",m+w/2).attr("class","pieOuterCircle");const k=c.getSections(),_=(t=>{const e=Object.entries(t).map((t=>({label:t[0],value:t[1]})));return(0,r.ve8)().value((t=>t.value))(e)})(k),E=[b.pie1,b.pie2,b.pie3,b.pie4,b.pie5,b.pie6,b.pie7,b.pie8,b.pie9,b.pie10,b.pie11,b.pie12],T=(0,r.PKp)(E);p.selectAll("mySlices").data(_).enter().append("path").attr("d",v).attr("fill",(t=>T(t.data.label))).attr("class","pieCircle");let 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}\n  .pieTitleText {\n    text-anchor: middle;\n    font-size: ${t.pieTitleTextSize};\n    fill: ${t.pieTitleTextColor};\n    font-family: ${t.fontFamily};\n  }\n  .slice {\n    font-family: ${t.fontFamily};\n    fill: ${t.pieSectionTextColor};\n    font-size:${t.pieSectionTextSize};\n    // fill: white;\n  }\n  .legend text {\n    fill: ${t.pieLegendTextColor};\n    font-family: ${t.fontFamily};\n    font-size: ${t.pieLegendTextSize};\n  }\n`}},7118:(t,e,n)=>{"use strict";n.r(e),n.d(e,{diagram:()=>h});var i=n(9339),r=n(7274),a=(n(7484),n(7967),n(7856),function(){var t=function(t,e,n,i){for(n=n||{},i=t.length;i--;n[t[i]]=e);return 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43:return 57;case 44:return 59;case 45:return 60;case 46:return 58;case 47:return 51;case 48:return 61;case 49:return 52;case 50:return 5;case 51:return 39;case 52:return 50;case 53:return 40}},rules:[/^(?:%%\{)/i,/^(?:((?:(?!\}%%)[^:.])*))/i,/^(?::)/i,/^(?:\}%%)/i,/^(?:((?:(?!\}%%).|\n)*))/i,/^(?:%%(?!\{)[^\n]*)/i,/^(?:[^\}]%%[^\n]*)/i,/^(?:[\n\r]+)/i,/^(?:%%[^\n]*)/i,/^(?:title\b)/i,/^(?:(?!\n||)*[^\n]*)/i,/^(?:accTitle\s*:\s*)/i,/^(?:(?!\n||)*[^\n]*)/i,/^(?:accDescr\s*:\s*)/i,/^(?:(?!\n||)*[^\n]*)/i,/^(?:accDescr\s*\{\s*)/i,/^(?:[\}])/i,/^(?:[^\}]*)/i,/^(?: *x-axis *)/i,/^(?: *y-axis *)/i,/^(?: *--+> *)/i,/^(?: *quadrant-1 *)/i,/^(?: *quadrant-2 *)/i,/^(?: *quadrant-3 *)/i,/^(?: *quadrant-4 *)/i,/^(?:["][`])/i,/^(?:[^`"]+)/i,/^(?:[`]["])/i,/^(?:["])/i,/^(?:["])/i,/^(?:[^"]*)/i,/^(?:\s*:\s*\[\s*)/i,/^(?:(1)|(0(.\d+)?))/i,/^(?:\s*\] *)/i,/^(?:\s*,\s*)/i,/^(?:(1)|(0(.\d+)?))/i,/^(?: *quadrantChart 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u(t){return(0,i.d)(t.trim(),c)}const l=new class{constructor(){this.config=this.getDefaultConfig(),this.themeConfig=this.getDefaultThemeConfig(),this.data=this.getDefaultData()}getDefaultData(){return{titleText:"",quadrant1Text:"",quadrant2Text:"",quadrant3Text:"",quadrant4Text:"",xAxisLeftText:"",xAxisRightText:"",yAxisBottomText:"",yAxisTopText:"",points:[]}}getDefaultConfig(){var t,e,n,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y;return{showXAxis:!0,showYAxis:!0,showTitle:!0,chartHeight:(null==(t=i.C.quadrantChart)?void 0:t.chartWidth)||500,chartWidth:(null==(e=i.C.quadrantChart)?void 0:e.chartHeight)||500,titlePadding:(null==(n=i.C.quadrantChart)?void 0:n.titlePadding)||10,titleFontSize:(null==(r=i.C.quadrantChart)?void 0:r.titleFontSize)||20,quadrantPadding:(null==(a=i.C.quadrantChart)?void 0:a.quadrantPadding)||5,xAxisLabelPadding:(null==(o=i.C.quadrantChart)?void 0:o.xAxisLabelPadding)||5,yAxisLabelPadding:(null==(s=i.C.quadrantChart)?void 0:s.yAxisLabelPadding)||5,xAxisLabelFontSize:(null==(c=i.C.quadrantChart)?void 0:c.xAxisLabelFontSize)||16,yAxisLabelFontSize:(null==(u=i.C.quadrantChart)?void 0:u.yAxisLabelFontSize)||16,quadrantLabelFontSize:(null==(l=i.C.quadrantChart)?void 0:l.quadrantLabelFontSize)||16,quadrantTextTopPadding:(null==(h=i.C.quadrantChart)?void 0:h.quadrantTextTopPadding)||5,pointTextPadding:(null==(f=i.C.quadrantChart)?void 0:f.pointTextPadding)||5,pointLabelFontSize:(null==(d=i.C.quadrantChart)?void 0:d.pointLabelFontSize)||12,pointRadius:(null==(g=i.C.quadrantChart)?void 0:g.pointRadius)||5,xAxisPosition:(null==(p=i.C.quadrantChart)?void 0:p.xAxisPosition)||"top",yAxisPosition:(null==(b=i.C.quadrantChart)?void 0:b.yAxisPosition)||"left",quadrantInternalBorderStrokeWidth:(null==(w=i.C.quadrantChart)?void 0:w.quadrantInternalBorderStrokeWidth)||1,quadrantExternalBorderStrokeWidth:(null==(y=i.C.quadrantChart)?void 0:y.quadrantExternalBorderStrokeWidth)||2}}getDefaultThemeConfig(){return{quadrant1Fill:s.quadrant1Fill,quadrant2Fill:s.quadrant2Fill,quadrant3Fill:s.quadrant3Fill,quadrant4Fill:s.quadrant4Fill,quadrant1TextFill:s.quadrant1TextFill,quadrant2TextFill:s.quadrant2TextFill,quadrant3TextFill:s.quadrant3TextFill,quadrant4TextFill:s.quadrant4TextFill,quadrantPointFill:s.quadrantPointFill,quadrantPointTextFill:s.quadrantPointTextFill,quadrantXAxisTextFill:s.quadrantXAxisTextFill,quadrantYAxisTextFill:s.quadrantYAxisTextFill,quadrantTitleFill:s.quadrantTitleFill,quadrantInternalBorderStrokeFill:s.quadrantInternalBorderStrokeFill,quadrantExternalBorderStrokeFill:s.quadrantExternalBorderStrokeFill}}clear(){this.config=this.getDefaultConfig(),this.themeConfig=this.getDefaultThemeConfig(),this.data=this.getDefaultData(),i.l.info("clear called")}setData(t){this.data={...this.data,...t}}addPoints(t){this.data.points=[...t,...this.data.points]}setConfig(t){i.l.trace("setConfig called with: ",t),this.config={...this.config,...t}}setThemeConfig(t){i.l.trace("setThemeConfig called with: ",t),this.themeConfig={...this.themeConfig,...t}}calculateSpace(t,e,n,i){const r=2*this.config.xAxisLabelPadding+this.config.xAxisLabelFontSize,a={top:"top"===t&&e?r:0,bottom:"bottom"===t&&e?r:0},o=2*this.config.yAxisLabelPadding+this.config.yAxisLabelFontSize,s={left:"left"===this.config.yAxisPosition&&n?o:0,right:"right"===this.config.yAxisPosition&&n?o:0},c=this.config.titleFontSize+2*this.config.titlePadding,u={top:i?c:0},l=this.config.quadrantPadding+s.left,h=this.config.quadrantPadding+a.top+u.top,f=this.config.chartWidth-2*this.config.quadrantPadding-s.left-s.right,d=this.config.chartHeight-2*this.config.quadrantPadding-a.top-a.bottom-u.top;return{xAxisSpace:a,yAxisSpace:s,titleSpace:u,quadrantSpace:{quadrantLeft:l,quadrantTop:h,quadrantWidth:f,quadrantHalfWidth:f/2,quadrantHeight:d,quadrantHalfHeight:d/2}}}getAxisLabels(t,e,n,i){const{quadrantSpace:r,titleSpace:a}=i,{quadrantHalfHeight:o,quadrantHeight:s,quadrantLeft:c,quadrantHalfWidth:u,quadrantTop:l,quadrantWidth:h}=r,f=0===this.data.points.length,d=[];return this.data.xAxisLeftText&&e&&d.push({text:this.data.xAxisLeftText,fill:this.themeConfig.quadrantXAxisTextFill,x:c+(f?u/2:0),y:"top"===t?this.config.xAxisLabelPadding+a.top:this.config.xAxisLabelPadding+l+s+this.config.quadrantPadding,fontSize:this.config.xAxisLabelFontSize,verticalPos:f?"center":"left",horizontalPos:"top",rotation:0}),this.data.xAxisRightText&&e&&d.push({text:this.data.xAxisRightText,fill:this.themeConfig.quadrantXAxisTextFill,x:c+u+(f?u/2:0),y:"top"===t?this.config.xAxisLabelPadding+a.top:this.config.xAxisLabelPadding+l+s+this.config.quadrantPadding,fontSize:this.config.xAxisLabelFontSize,verticalPos:f?"center":"left",horizontalPos:"top",rotation:0}),this.data.yAxisBottomText&&n&&d.push({text:this.data.yAxisBottomText,fill:this.themeConfig.quadrantYAxisTextFill,x:"left"===this.config.yAxisPosition?this.config.yAxisLabelPadding:this.config.yAxisLabelPadding+c+h+this.config.quadrantPadding,y:l+s-(f?o/2:0),fontSize:this.config.yAxisLabelFontSize,verticalPos:f?"center":"left",horizontalPos:"top",rotation:-90}),this.data.yAxisTopText&&n&&d.push({text:this.data.yAxisTopText,fill:this.themeConfig.quadrantYAxisTextFill,x:"left"===this.config.yAxisPosition?this.config.yAxisLabelPadding:this.config.yAxisLabelPadding+c+h+this.config.quadrantPadding,y:l+o-(f?o/2:0),fontSize:this.config.yAxisLabelFontSize,verticalPos:f?"center":"left",horizontalPos:"top",rotation:-90}),d}getQuadrants(t){const{quadrantSpace:e}=t,{quadrantHalfHeight:n,quadrantLeft:i,quadrantHalfWidth:r,quadrantTop:a}=e,o=[{text:{text:this.data.quadrant1Text,fill:this.themeConfig.quadrant1TextFill,x:0,y:0,fontSize:this.config.quadrantLabelFontSize,verticalPos:"center",horizontalPos:"middle",rotation:0},x:i+r,y:a,width:r,height:n,fill:this.themeConfig.quadrant1Fill},{text:{text:this.data.quadrant2Text,fill:this.themeConfig.quadrant2TextFill,x:0,y:0,fontSize:this.config.quadrantLabelFontSize,verticalPos:"center",horizontalPos:"middle",rotation:0},x:i,y:a,width:r,height:n,fill:this.themeConfig.quadrant2Fill},{text:{text:this.data.quadrant3Text,fill:this.themeConfig.quadrant3TextFill,x:0,y:0,fontSize:this.config.quadrantLabelFontSize,verticalPos:"center",horizontalPos:"middle",rotation:0},x:i,y:a+n,width:r,height:n,fill:this.themeConfig.quadrant3Fill},{text:{text:this.data.quadrant4Text,fill:this.themeConfig.quadrant4TextFill,x:0,y:0,fontSize:this.config.quadrantLabelFontSize,verticalPos:"center",horizontalPos:"middle",rotation:0},x:i+r,y:a+n,width:r,height:n,fill:this.themeConfig.quadrant4Fill}];for(const t of o)t.text.x=t.x+t.width/2,0===this.data.points.length?(t.text.y=t.y+t.height/2,t.text.horizontalPos="middle"):(t.text.y=t.y+this.config.quadrantTextTopPadding,t.text.horizontalPos="top");return o}getQuadrantPoints(t){const{quadrantSpace:e}=t,{quadrantHeight:n,quadrantLeft:i,quadrantTop:a,quadrantWidth:o}=e,s=(0,r.BYU)().domain([0,1]).range([i,o+i]),c=(0,r.BYU)().domain([0,1]).range([n+a,a]);return this.data.points.map((t=>({x:s(t.x),y:c(t.y),fill:this.themeConfig.quadrantPointFill,radius:this.config.pointRadius,text:{text:t.text,fill:this.themeConfig.quadrantPointTextFill,x:s(t.x),y:c(t.y)+this.config.pointTextPadding,verticalPos:"center",horizontalPos:"top",fontSize:this.config.pointLabelFontSize,rotation:0}})))}getBorders(t){const e=this.config.quadrantExternalBorderStrokeWidth/2,{quadrantSpace:n}=t,{quadrantHalfHeight:i,quadrantHeight:r,quadrantLeft:a,quadrantHalfWidth:o,quadrantTop:s,quadrantWidth:c}=n;return[{strokeFill:this.themeConfig.quadrantExternalBorderStrokeFill,strokeWidth:this.config.quadrantExternalBorderStrokeWidth,x1:a-e,y1:s,x2:a+c+e,y2:s},{strokeFill:this.themeConfig.quadrantExternalBorderStrokeFill,strokeWidth:this.config.quadrantExternalBorderStrokeWidth,x1:a+c,y1:s+e,x2:a+c,y2:s+r-e},{strokeFill:this.themeConfig.quadrantExternalBorderStrokeFill,strokeWidth:this.config.quadrantExternalBorderStrokeWidth,x1:a-e,y1:s+r,x2:a+c+e,y2:s+r},{strokeFill:this.themeConfig.quadrantExternalBorderStrokeFill,strokeWidth:this.config.quadrantExternalBorderStrokeWidth,x1:a,y1:s+e,x2:a,y2:s+r-e},{strokeFill:this.themeConfig.quadrantInternalBorderStrokeFill,strokeWidth:this.config.quadrantInternalBorderStrokeWidth,x1:a+o,y1:s+e,x2:a+o,y2:s+r-e},{strokeFill:this.themeConfig.quadrantInternalBorderStrokeFill,strokeWidth:this.config.quadrantInternalBorderStrokeWidth,x1:a+e,y1:s+i,x2:a+c-e,y2:s+i}]}getTitle(t){if(t)return{text:this.data.titleText,fill:this.themeConfig.quadrantTitleFill,fontSize:this.config.titleFontSize,horizontalPos:"top",verticalPos:"center",rotation:0,y:this.config.titlePadding,x:this.config.chartWidth/2}}build(){const t=this.config.showXAxis&&!(!this.data.xAxisLeftText&&!this.data.xAxisRightText),e=this.config.showYAxis&&!(!this.data.yAxisTopText&&!this.data.yAxisBottomText),n=this.config.showTitle&&!!this.data.titleText,i=this.data.points.length>0?"bottom":this.config.xAxisPosition,r=this.calculateSpace(i,t,e,n);return{points:this.getQuadrantPoints(r),quadrants:this.getQuadrants(r),axisLabels:this.getAxisLabels(i,t,e,r),borderLines:this.getBorders(r),title:this.getTitle(n)}}};const h={parser:o,db:{setWidth:function(t){l.setConfig({chartWidth:t})},setHeight:function(t){l.setConfig({chartHeight:t})},setQuadrant1Text:function(t){l.setData({quadrant1Text:u(t.text)})},setQuadrant2Text:function(t){l.setData({quadrant2Text:u(t.text)})},setQuadrant3Text:function(t){l.setData({quadrant3Text:u(t.text)})},setQuadrant4Text:function(t){l.setData({quadrant4Text:u(t.text)})},setXAxisLeftText:function(t){l.setData({xAxisLeftText:u(t.text)})},setXAxisRightText:function(t){l.setData({xAxisRightText:u(t.text)})},setYAxisTopText:function(t){l.setData({yAxisTopText:u(t.text)})},setYAxisBottomText:function(t){l.setData({yAxisBottomText:u(t.text)})},addPoint:function(t,e,n){l.addPoints([{x:e,y:n,text:u(t.text)}])},getQuadrantData:function(){const t=(0,i.c)(),{themeVariables:e,quadrantChart:n}=t;return n&&l.setConfig(n),l.setThemeConfig({quadrant1Fill:e.quadrant1Fill,quadrant2Fill:e.quadrant2Fill,quadrant3Fill:e.quadrant3Fill,quadrant4Fill:e.quadrant4Fill,quadrant1TextFill:e.quadrant1TextFill,quadrant2TextFill:e.quadrant2TextFill,quadrant3TextFill:e.quadrant3TextFill,quadrant4TextFill:e.quadrant4TextFill,quadrantPointFill:e.quadrantPointFill,quadrantPointTextFill:e.quadrantPointTextFill,quadrantXAxisTextFill:e.quadrantXAxisTextFill,quadrantYAxisTextFill:e.quadrantYAxisTextFill,quadrantExternalBorderStrokeFill:e.quadrantExternalBorderStrokeFill,quadrantInternalBorderStrokeFill:e.quadrantInternalBorderStrokeFill,quadrantTitleFill:e.quadrantTitleFill}),l.setData({titleText:(0,i.t)()}),l.build()},parseDirective:function(t,e,n){i.m.parseDirective(this,t,e,n)},clear:function(){l.clear(),(0,i.v)()},setAccTitle:i.s,getAccTitle:i.g,setDiagramTitle:i.r,getDiagramTitle:i.t,getAccDescription:i.a,setAccDescription:i.b},renderer:{draw:(t,e,n,a)=>{var o,s,c;function u(t){return"top"===t?"hanging":"middle"}function l(t){return"left"===t?"start":"middle"}function h(t){return`translate(${t.x}, ${t.y}) rotate(${t.rotation||0})`}const f=(0,i.c)();i.l.debug("Rendering quadrant chart\n"+t);const d=f.securityLevel;let g;"sandbox"===d&&(g=(0,r.Ys)("#i"+e));const p=("sandbox"===d?(0,r.Ys)(g.nodes()[0].contentDocument.body):(0,r.Ys)("body")).select(`[id="${e}"]`),b=p.append("g").attr("class","main"),w=(null==(o=f.quadrantChart)?void 0:o.chartWidth)||500,y=(null==(s=f.quadrantChart)?void 0:s.chartHeight)||500;(0,i.i)(p,y,w,(null==(c=f.quadrantChart)?void 0:c.useMaxWidth)||!0),p.attr("viewBox","0 0 "+w+" "+y),a.db.setHeight(y),a.db.setWidth(w);const m=a.db.getQuadrantData(),v=b.append("g").attr("class","quadrants"),x=b.append("g").attr("class","border"),k=b.append("g").attr("class","data-points"),_=b.append("g").attr("class","labels"),E=b.append("g").attr("class","title");m.title&&E.append("text").attr("x",0).attr("y",0).attr("fill",m.title.fill).attr("font-size",m.title.fontSize).attr("dominant-baseline",u(m.title.horizontalPos)).attr("text-anchor",l(m.title.verticalPos)).attr("transform",h(m.title)).text(m.title.text),m.borderLines&&x.selectAll("line").data(m.borderLines).enter().append("line").attr("x1",(t=>t.x1)).attr("y1",(t=>t.y1)).attr("x2",(t=>t.x2)).attr("y2",(t=>t.y2)).style("stroke",(t=>t.strokeFill)).style("stroke-width",(t=>t.strokeWidth));const T=v.selectAll("g.quadrant").data(m.quadrants).enter().append("g").attr("class","quadrant");T.append("rect").attr("x",(t=>t.x)).attr("y",(t=>t.y)).attr("width",(t=>t.width)).attr("height",(t=>t.height)).attr("fill",(t=>t.fill)),T.append("text").attr("x",0).attr("y",0).attr("fill",(t=>t.text.fill)).attr("font-size",(t=>t.text.fontSize)).attr("dominant-baseline",(t=>u(t.text.horizontalPos))).attr("text-anchor",(t=>l(t.text.verticalPos))).attr("transform",(t=>h(t.text))).text((t=>t.text.text));_.selectAll("g.label").data(m.axisLabels).enter().append("g").attr("class","label").append("text").attr("x",0).attr("y",0).text((t=>t.text)).attr("fill",(t=>t.fill)).attr("font-size",(t=>t.fontSize)).attr("dominant-baseline",(t=>u(t.horizontalPos))).attr("text-anchor",(t=>l(t.verticalPos))).attr("transform",(t=>h(t)));const C=k.selectAll("g.data-point").data(m.points).enter().append("g").attr("class","data-point");C.append("circle").attr("cx",(t=>t.x)).attr("cy",(t=>t.y)).attr("r",(t=>t.radius)).attr("fill",(t=>t.fill)),C.append("text").attr("x",0).attr("y",0).text((t=>t.text.text)).attr("fill",(t=>t.text.fill)).attr("font-size",(t=>t.text.fontSize)).attr("dominant-baseline",(t=>u(t.text.horizontalPos))).attr("text-anchor",(t=>l(t.text.verticalPos))).attr("transform",(t=>h(t.text)))}},styles:()=>""}},4019:(t,e,n)=>{"use strict";n.r(e),n.d(e,{diagram:()=>T});var i=n(9339),r=n(7274),a=n(3771),o=n(5625),s=(n(7484),n(7967),n(7856),function(){var t=function(t,e,n,i){for(n=n||{},i=t.length;i--;n[t[i]]=e);return 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58:a[s-2]=[].concat(a[s-1],a[s-1]).slice(0,2),a[s-2][0]=a[s-2][0].actor,a[s-2][1]=a[s-2][1].actor,this.$=[a[s-1],{type:"addNote",placement:i.PLACEMENT.OVER,actor:a[s-2].slice(0,2),text:a[s]}];break;case 59:this.$=[a[s-1],{type:"addLinks",actor:a[s-1].actor,text:a[s]}];break;case 60:this.$=[a[s-1],{type:"addALink",actor:a[s-1].actor,text:a[s]}];break;case 61:this.$=[a[s-1],{type:"addProperties",actor:a[s-1].actor,text:a[s]}];break;case 62:this.$=[a[s-1],{type:"addDetails",actor:a[s-1].actor,text:a[s]}];break;case 65:this.$=[a[s-2],a[s]];break;case 67:this.$=i.PLACEMENT.LEFTOF;break;case 68:this.$=i.PLACEMENT.RIGHTOF;break;case 69:this.$=[a[s-4],a[s-1],{type:"addMessage",from:a[s-4].actor,to:a[s-1].actor,signalType:a[s-3],msg:a[s]},{type:"activeStart",signalType:i.LINETYPE.ACTIVE_START,actor:a[s-1]}];break;case 70:this.$=[a[s-4],a[s-1],{type:"addMessage",from:a[s-4].actor,to:a[s-1].actor,signalType:a[s-3],msg:a[s]},{type:"activeEnd",signalType:i.LINETYPE.ACTIVE_END,actor:a[s-4]}];break;case 71:this.$=[a[s-3],a[s-1],{type:"addMessage",from:a[s-3].actor,to:a[s-1].actor,signalType:a[s-2],msg:a[s]}];break;case 72:this.$={type:"addParticipant",actor:a[s]};break;case 73:this.$=i.LINETYPE.SOLID_OPEN;break;case 74:this.$=i.LINETYPE.DOTTED_OPEN;break;case 75:this.$=i.LINETYPE.SOLID;break;case 76:this.$=i.LINETYPE.DOTTED;break;case 77:this.$=i.LINETYPE.SOLID_CROSS;break;case 78:this.$=i.LINETYPE.DOTTED_CROSS;break;case 79:this.$=i.LINETYPE.SOLID_POINT;break;case 80:this.$=i.LINETYPE.DOTTED_POINT;break;case 81:this.$=i.parseMessage(a[s].trim().substring(1));break;case 82:i.parseDirective("%%{","open_directive");break;case 83:i.parseDirective(a[s],"type_directive");break;case 84:a[s]=a[s].trim().replace(/'/g,'"'),i.parseDirective(a[s],"arg_directive");break;case 85:i.parseDirective("}%%","close_directive","sequence")}},table:[{3:1,4:e,5:n,6:4,7:i,14:6,86:r},{1:[3]},{3:8,4:e,5:n,6:4,7:i,14:6,86:r},{3:9,4:e,5:n,6:4,7:i,14:6,86:r},{3:10,4:e,5:n,6:4,7:i,14:6,86:r},t([1,4,5,19,20,24,27,29,35,36,37,39,41,42,43,44,45,47,49,50,52,56,58,59,60,65,66,67,68,76,86],a,{8:11}),{15:12,87:[1,13]},{87:[2,82]},{1:[2,1]},{1:[2,2]},{1:[2,3]},{1:[2,4],4:o,5:s,6:43,9:14,10:16,13:18,14:6,19:c,20:u,23:21,24:l,27:h,28:47,29:f,30:25,31:26,32:27,33:28,34:29,35:d,36:g,37:p,39:b,41:w,42:y,43:m,44:v,45:x,47:k,49:_,50:E,52:T,56:C,58:S,59:A,60:M,65:I,66:L,67:D,68:O,76:N,86:r},{16:54,17:[1,55],89:P},t([17,89],[2,83]),t(B,[2,6]),{6:43,10:57,13:18,14:6,19:c,20:u,23:21,24:l,27:h,28:47,29:f,30:25,31:26,32:27,33:28,34:29,35:d,36:g,37:p,39:b,41:w,42:y,43:m,44:v,45:x,47:k,49:_,50:E,52:T,56:C,58:S,59:A,60:M,65:I,66:L,67:D,68:O,76:N,86:r},t(B,[2,8]),t(B,[2,9]),t(B,[2,17]),{13:58,56:C,58:S,59:A},{21:[1,59]},{5:[1,60]},{5:[1,63],25:[1,61],26:[1,62]},{28:64,76:N},{28:65,76:N},{5:[1,66]},{5:[1,67]},{5:[1,68]},{5:[1,69]},{5:[1,70]},t(B,[2,32]),t(B,[2,33]),{38:[1,71]},{40:[1,72]},t(B,[2,36]),{21:[1,73]},{21:[1,74]},{21:[1,75]},{21:[1,76]},{21:[1,77]},{21:[1,78]},{21:[1,79]},{21:[1,80]},t(B,[2,45]),{28:81,76:N},{28:82,76:N},{28:83,76:N},{73:84,77:[1,85],78:[1,86],79:[1,87],80:[1,88],81:[1,89],82:[1,90],83:[1,91],84:[1,92]},{61:93,63:[1,94],71:[1,95],72:[1,96]},{28:97,76:N},{28:98,76:N},{28:99,76:N},{28:100,76:N},t([5,57,70,77,78,79,80,81,82,83,84,85],[2,72]),{5:[1,101]},{18:102,88:[1,103]},{5:[2,85]},t(B,[2,7]),t(B,[2,18]),t(F,[2,10],{11:104}),t(B,[2,20]),{5:[1,106],25:[1,105]},{5:[1,107]},t(B,[2,24]),{5:[1,108]},{5:[1,109]},t(B,[2,27]),t(B,[2,28]),t(B,[2,29]),t(B,[2,30]),t(B,[2,31]),t(B,[2,34]),t(B,[2,35]),t(R,a,{8:110}),t(R,a,{8:111}),t(R,a,{8:112}),t($,a,{46:113,8:114}),t(j,a,{48:115,8:116}),t(j,a,{8:116,48:117}),t(z,a,{51:118,8:119}),t(R,a,{8:120}),{5:[1,122],57:[1,121]},{5:[1,124],57:[1,123]},{5:[1,125]},{28:128,74:[1,126],75:[1,127],76:N},t(q,[2,73]),t(q,[2,74]),t(q,[2,75]),t(q,[2,76]),t(q,[2,77]),t(q,[2,78]),t(q,[2,79]),t(q,[2,80]),{28:129,76:N},{28:131,64:130,76:N},{76:[2,67]},{76:[2,68]},{62:132,85:H},{62:134,85:H},{62:135,85:H},{62:136,85:H},t(Z,[2,15]),{16:137,89:P},{89:[2,84]},{4:[1,140],5:[1,142],12:139,13:141,22:[1,138],56:C,58:S,59:A},{5:[1,143]},t(B,[2,22]),t(B,[2,23]),t(B,[2,25]),t(B,[2,26]),{4:o,5:s,6:43,9:14,10:16,13:18,14:6,19:c,20:u,22:[1,144],23:21,24:l,27:h,28:47,29:f,30:25,31:26,32:27,33:28,34:29,35:d,36:g,37:p,39:b,41:w,42:y,43:m,44:v,45:x,47:k,49:_,50:E,52:T,56:C,58:S,59:A,60:M,65:I,66:L,67:D,68:O,76:N,86:r},{4:o,5:s,6:43,9:14,10:16,13:18,14:6,19:c,20:u,22:[1,145],23:21,24:l,27:h,28:47,29:f,30:25,31:26,32:27,33:28,34:29,35:d,36:g,37:p,39:b,41:w,42:y,43:m,44:v,45:x,47:k,49:_,50:E,52:T,56:C,58:S,59:A,60:M,65:I,66:L,67:D,68:O,76:N,86:r},{4:o,5:s,6:43,9:14,10:16,13:18,14:6,19:c,20:u,22:[1,146],23:21,24:l,27:h,28:47,29:f,30:25,31:26,32:27,33:28,34:29,35:d,36:g,37:p,39:b,41:w,42:y,43:m,44:v,45:x,47:k,49:_,50:E,52:T,56:C,58:S,59:A,60:M,65:I,66:L,67:D,68:O,76:N,86:r},{22:[1,147]},{4:o,5:s,6:43,9:14,10:16,13:18,14:6,19:c,20:u,22:[2,50],23:21,24:l,27:h,28:47,29:f,30:25,31:26,32:27,33:28,34:29,35:d,36:g,37:p,39:b,41:w,42:y,43:m,44:v,45:x,47:k,49:_,50:E,52:T,55:[1,148],56:C,58:S,59:A,60:M,65:I,66:L,67:D,68:O,76:N,86:r},{22:[1,149]},{4:o,5:s,6:43,9:14,10:16,13:18,14:6,19:c,20:u,22:[2,48],23:21,24:l,27:h,28:47,29:f,30:25,31:26,32:27,33:28,34:29,35:d,36:g,37:p,39:b,41:w,42:y,43:m,44:v,45:x,47:k,49:_,50:E,52:T,54:[1,150],56:C,58:S,59:A,60:M,65:I,66:L,67:D,68:O,76:N,86:r},{22:[1,151]},{22:[1,152]},{4:o,5:s,6:43,9:14,10:16,13:18,14:6,19:c,20:u,22:[2,46],23:21,24:l,27:h,28:47,29:f,30:25,31:26,32:27,33:28,34:29,35:d,36:g,37:p,39:b,41:w,42:y,43:m,44:v,45:x,47:k,49:_,50:E,52:T,53:[1,153],56:C,58:S,59:A,60:M,65:I,66:L,67:D,68:O,76:N,86:r},{4:o,5:s,6:43,9:14,10:16,13:18,14:6,19:c,20:u,22:[1,154],23:21,24:l,27:h,28:47,29:f,30:25,31:26,32:27,33:28,34:29,35:d,36:g,37:p,39:b,41:w,42:y,43:m,44:v,45:x,47:k,49:_,50:E,52:T,56:C,58:S,59:A,60:M,65:I,66:L,67:D,68:O,76:N,86:r},{21:[1,155]},t(B,[2,53]),{21:[1,156]},t(B,[2,55]),t(B,[2,56]),{28:157,76:N},{28:158,76:N},{62:159,85:H},{62:160,85:H},{62:161,85:H},{70:[1,162],85:[2,66]},{5:[2,59]},{5:[2,81]},{5:[2,60]},{5:[2,61]},{5:[2,62]},{5:[1,163]},t(B,[2,19]),t(F,[2,11]),{13:164,56:C,58:S,59:A},t(F,[2,13]),t(F,[2,14]),t(B,[2,21]),t(B,[2,37]),t(B,[2,38]),t(B,[2,39]),t(B,[2,40]),{21:[1,165]},t(B,[2,41]),{21:[1,166]},t(B,[2,42]),t(B,[2,43]),{21:[1,167]},t(B,[2,44]),{5:[1,168]},{5:[1,169]},{62:170,85:H},{62:171,85:H},{5:[2,71]},{5:[2,57]},{5:[2,58]},{28:172,76:N},t(Z,[2,16]),t(F,[2,12]),t($,a,{8:114,46:173}),t(j,a,{8:116,48:174}),t(z,a,{8:119,51:175}),t(B,[2,52]),t(B,[2,54]),{5:[2,69]},{5:[2,70]},{85:[2,65]},{22:[2,51]},{22:[2,49]},{22:[2,47]}],defaultActions:{7:[2,82],8:[2,1],9:[2,2],10:[2,3],56:[2,85],95:[2,67],96:[2,68],103:[2,84],132:[2,59],133:[2,81],134:[2,60],135:[2,61],136:[2,62],159:[2,71],160:[2,57],161:[2,58],170:[2,69],171:[2,70],172:[2,65],173:[2,51],174:[2,49],175:[2,47]},parseError:function(t,e){if(!e.recoverable){var n=new Error(t);throw n.hash=e,n}this.trace(t)},parse:function(t){var e=this,n=[0],i=[],r=[null],a=[],o=this.table,s="",c=0,u=0,l=2,h=1,f=a.slice.call(arguments,1),d=Object.create(this.lexer),g={yy:{}};for(var p in this.yy)Object.prototype.hasOwnProperty.call(this.yy,p)&&(g.yy[p]=this.yy[p]);d.setInput(t,g.yy),g.yy.lexer=d,g.yy.parser=this,void 0===d.yylloc&&(d.yylloc={});var b=d.yylloc;a.push(b);var w=d.options&&d.options.ranges;function y(){var t;return"number"!=typeof(t=i.pop()||d.lex()||h)&&(t instanceof Array&&(t=(i=t).pop()),t=e.symbols_[t]||t),t}"function"==typeof g.yy.parseError?this.parseError=g.yy.parseError:this.parseError=Object.getPrototypeOf(this).parseError;for(var m,v,x,k,_,E,T,C,S={};;){if(v=n[n.length-1],this.defaultActions[v]?x=this.defaultActions[v]:(null==m&&(m=y()),x=o[v]&&o[v][m]),void 0===x||!x.length||!x[0]){var A="";for(_ in C=[],o[v])this.terminals_[_]&&_>l&&C.push("'"+this.terminals_[_]+"'");A=d.showPosition?"Parse error on line "+(c+1)+":\n"+d.showPosition()+"\nExpecting "+C.join(", ")+", got '"+(this.terminals_[m]||m)+"'":"Parse error on line "+(c+1)+": Unexpected "+(m==h?"end of input":"'"+(this.terminals_[m]||m)+"'"),this.parseError(A,{text:d.match,token:this.terminals_[m]||m,line:d.yylineno,loc:b,expected:C})}if(x[0]instanceof Array&&x.length>1)throw new Error("Parse Error: multiple actions possible at state: "+v+", token: "+m);switch(x[0]){case 1:n.push(m),r.push(d.yytext),a.push(d.yylloc),n.push(x[1]),m=null,u=d.yyleng,s=d.yytext,c=d.yylineno,b=d.yylloc;break;case 2:if(E=this.productions_[x[1]][1],S.$=r[r.length-E],S._$={first_line:a[a.length-(E||1)].first_line,last_line:a[a.length-1].last_line,first_column:a[a.length-(E||1)].first_column,last_column:a[a.length-1].last_column},w&&(S._$.range=[a[a.length-(E||1)].range[0],a[a.length-1].range[1]]),void 0!==(k=this.performAction.apply(S,[s,u,c,g.yy,x[1],r,a].concat(f))))return k;E&&(n=n.slice(0,-1*E*2),r=r.slice(0,-1*E),a=a.slice(0,-1*E)),n.push(this.productions_[x[1]][0]),r.push(S.$),a.push(S._$),T=o[n[n.length-2]][n[n.length-1]],n.push(T);break;case 3:return!0}}return!0}},Y={EOF:1,parseError:function(t,e){if(!this.yy.parser)throw new Error(t);this.yy.parser.parseError(t,e)},setInput:function(t,e){return this.yy=e||this.yy||{},this._input=t,this._more=this._backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match="",this.conditionStack=["INITIAL"],this.yylloc={first_line:1,first_column:0,last_line:1,last_column:0},this.options.ranges&&(this.yylloc.range=[0,0]),this.offset=0,this},input:function(){var t=this._input[0];return this.yytext+=t,this.yyleng++,this.offset++,this.match+=t,this.matched+=t,t.match(/(?:\r\n?|\n).*/g)?(this.yylineno++,this.yylloc.last_line++):this.yylloc.last_column++,this.options.ranges&&this.yylloc.range[1]++,this._input=this._input.slice(1),t},unput:function(t){var e=t.length,n=t.split(/(?:\r\n?|\n)/g);this._input=t+this._input,this.yytext=this.yytext.substr(0,this.yytext.length-e),this.offset-=e;var i=this.match.split(/(?:\r\n?|\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),n.length-1&&(this.yylineno-=n.length-1);var r=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:n?(n.length===i.length?this.yylloc.first_column:0)+i[i.length-n.length].length-n[0].length:this.yylloc.first_column-e},this.options.ranges&&(this.yylloc.range=[r[0],r[0]+this.yyleng-e]),this.yyleng=this.yytext.length,this},more:function(){return this._more=!0,this},reject:function(){return this.options.backtrack_lexer?(this._backtrack=!0,this):this.parseError("Lexical error on line "+(this.yylineno+1)+". You can only invoke reject() in the lexer when the lexer is of the backtracking persuasion (options.backtrack_lexer = true).\n"+this.showPosition(),{text:"",token:null,line:this.yylineno})},less:function(t){this.unput(this.match.slice(t))},pastInput:function(){var t=this.matched.substr(0,this.matched.length-this.match.length);return(t.length>20?"...":"")+t.substr(-20).replace(/\n/g,"")},upcomingInput:function(){var t=this.match;return t.length<20&&(t+=this._input.substr(0,20-t.length)),(t.substr(0,20)+(t.length>20?"...":"")).replace(/\n/g,"")},showPosition:function(){var t=this.pastInput(),e=new Array(t.length+1).join("-");return t+this.upcomingInput()+"\n"+e+"^"},test_match:function(t,e){var n,i,r;if(this.options.backtrack_lexer&&(r={yylineno:this.yylineno,yylloc:{first_line:this.yylloc.first_line,last_line:this.last_line,first_column:this.yylloc.first_column,last_column:this.yylloc.last_column},yytext:this.yytext,match:this.match,matches:this.matches,matched:this.matched,yyleng:this.yyleng,offset:this.offset,_more:this._more,_input:this._input,yy:this.yy,conditionStack:this.conditionStack.slice(0),done:this.done},this.options.ranges&&(r.yylloc.range=this.yylloc.range.slice(0))),(i=t[0].match(/(?:\r\n?|\n).*/g))&&(this.yylineno+=i.length),this.yylloc={first_line:this.yylloc.last_line,last_line:this.yylineno+1,first_column:this.yylloc.last_column,last_column:i?i[i.length-1].length-i[i.length-1].match(/\r?\n?/)[0].length:this.yylloc.last_column+t[0].length},this.yytext+=t[0],this.match+=t[0],this.matches=t,this.yyleng=this.yytext.length,this.options.ranges&&(this.yylloc.range=[this.offset,this.offset+=this.yyleng]),this._more=!1,this._backtrack=!1,this._input=this._input.slice(t[0].length),this.matched+=t[0],n=this.performAction.call(this,this.yy,this,e,this.conditionStack[this.conditionStack.length-1]),this.done&&this._input&&(this.done=!1),n)return n;if(this._backtrack){for(var a in r)this[a]=r[a];return!1}return!1},next:function(){if(this.done)return this.EOF;var t,e,n,i;this._input||(this.done=!0),this._more||(this.yytext="",this.match="");for(var r=this._currentRules(),a=0;a<r.length;a++)if((n=this._input.match(this.rules[r[a]]))&&(!e||n[0].length>e[0].length)){if(e=n,i=a,this.options.backtrack_lexer){if(!1!==(t=this.test_match(n,r[a])))return t;if(this._backtrack){e=!1;continue}return!1}if(!this.options.flex)break}return e?!1!==(t=this.test_match(e,r[i]))&&t:""===this._input?this.EOF:this.parseError("Lexical error on line "+(this.yylineno+1)+". Unrecognized text.\n"+this.showPosition(),{text:"",token:null,line:this.yylineno})},lex:function(){var t=this.next();return t||this.lex()},begin:function(t){this.conditionStack.push(t)},popState:function(){return this.conditionStack.length-1>0?this.conditionStack.pop():this.conditionStack[0]},_currentRules:function(){return this.conditionStack.length&&this.conditionStack[this.conditionStack.length-1]?this.conditions[this.conditionStack[this.conditionStack.length-1]].rules:this.conditions.INITIAL.rules},topState:function(t){return(t=this.conditionStack.length-1-Math.abs(t||0))>=0?this.conditionStack[t]:"INITIAL"},pushState:function(t){this.begin(t)},stateStackSize:function(){return this.conditionStack.length},options:{"case-insensitive":!0},performAction:function(t,e,n,i){switch(n){case 0:return this.begin("open_directive"),86;case 1:return this.begin("type_directive"),87;case 2:return this.popState(),this.begin("arg_directive"),17;case 3:return this.popState(),this.popState(),89;case 4:return 88;case 5:case 56:case 69:return 5;case 6:case 7:case 8:case 9:case 10:break;case 11:return 25;case 12:return this.begin("LINE"),20;case 13:return this.begin("ID"),56;case 14:return this.begin("ID"),58;case 15:return 19;case 16:return this.begin("ID"),59;case 17:return e.yytext=e.yytext.trim(),this.begin("ALIAS"),76;case 18:return this.popState(),this.popState(),this.begin("LINE"),57;case 19:return this.popState(),this.popState(),5;case 20:return this.begin("LINE"),42;case 21:return this.begin("LINE"),43;case 22:return this.begin("LINE"),44;case 23:return this.begin("LINE"),45;case 24:return this.begin("LINE"),55;case 25:return this.begin("LINE"),47;case 26:return this.begin("LINE"),49;case 27:return this.begin("LINE"),54;case 28:return this.begin("LINE"),50;case 29:return this.begin("LINE"),53;case 30:return this.begin("LINE"),52;case 31:return this.popState(),21;case 32:return 22;case 33:return 71;case 34:return 72;case 35:return 65;case 36:return 66;case 37:return 67;case 38:return 68;case 39:return 63;case 40:return 60;case 41:return this.begin("ID"),27;case 42:return this.begin("ID"),29;case 43:return 35;case 44:return 36;case 45:return this.begin("acc_title"),37;case 46:return this.popState(),"acc_title_value";case 47:return this.begin("acc_descr"),39;case 48:return this.popState(),"acc_descr_value";case 49:this.begin("acc_descr_multiline");break;case 50:this.popState();break;case 51:return"acc_descr_multiline_value";case 52:return 7;case 53:return 24;case 54:return 26;case 55:return 70;case 57:return e.yytext=e.yytext.trim(),76;case 58:return 79;case 59:return 80;case 60:return 77;case 61:return 78;case 62:return 81;case 63:return 82;case 64:return 83;case 65:return 84;case 66:return 85;case 67:return 74;case 68:return 75;case 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c=r.sequenceItems.length-a+1;r.updateVal(s,"starty",e-c*G.boxMargin,Math.min),r.updateVal(s,"stopy",i+c*G.boxMargin,Math.max),r.updateVal(K.data,"startx",t-c*G.boxMargin,Math.min),r.updateVal(K.data,"stopx",n+c*G.boxMargin,Math.max),"activation"!==o&&(r.updateVal(s,"startx",t-c*G.boxMargin,Math.min),r.updateVal(s,"stopx",n+c*G.boxMargin,Math.max),r.updateVal(K.data,"starty",e-c*G.boxMargin,Math.min),r.updateVal(K.data,"stopy",i+c*G.boxMargin,Math.max))}}this.sequenceItems.forEach(o()),this.activations.forEach(o("activation"))},insert:function(t,e,n,r){const a=i.e.getMin(t,n),o=i.e.getMax(t,n),s=i.e.getMin(e,r),c=i.e.getMax(e,r);this.updateVal(K.data,"startx",a,Math.min),this.updateVal(K.data,"starty",s,Math.min),this.updateVal(K.data,"stopx",o,Math.max),this.updateVal(K.data,"stopy",c,Math.max),this.updateBounds(a,s,o,c)},newActivation:function(t,e,n){const i=n[t.from.actor],r=et(t.from.actor).length||0,a=i.x+i.width/2+(r-1)*G.activationWidth/2;this.activations.push({startx:a,starty:this.verticalPos+2,stopx:a+G.activationWidth,stopy:void 0,actor:t.from.actor,anchored:Y.anchorElement(e)})},endActivation:function(t){const e=this.activations.map((function(t){return t.actor})).lastIndexOf(t.from.actor);return this.activations.splice(e,1)[0]},createLoop:function(t={message:void 0,wrap:!1,width:void 0},e){return{startx:void 0,starty:this.verticalPos,stopx:void 0,stopy:void 0,title:t.message,wrap:t.wrap,width:t.width,height:0,fill:e}},newLoop:function(t={message:void 0,wrap:!1,width:void 0},e){this.sequenceItems.push(this.createLoop(t,e))},endLoop:function(){return this.sequenceItems.pop()},isLoopOverlap:function(){return!!this.sequenceItems.length&&this.sequenceItems[this.sequenceItems.length-1].overlap},addSectionToLoop:function(t){const e=this.sequenceItems.pop();e.sections=e.sections||[],e.sectionTitles=e.sectionTitles||[],e.sections.push({y:K.getVerticalPos(),height:0}),e.sectionTitles.push(t),this.sequenceItems.push(e)},saveVerticalPos:function(){this.isLoopOverlap()&&(this.savedVerticalPos=this.verticalPos)},resetVerticalPos:function(){this.isLoopOverlap()&&(this.verticalPos=this.savedVerticalPos)},bumpVerticalPos:function(t){this.verticalPos=this.verticalPos+t,this.data.stopy=i.e.getMax(this.data.stopy,this.verticalPos)},getVerticalPos:function(){return this.verticalPos},getBounds:function(){return{bounds:this.data,models:this.models}}},W=t=>({fontFamily:t.messageFontFamily,fontSize:t.messageFontSize,fontWeight:t.messageFontWeight}),X=t=>({fontFamily:t.noteFontFamily,fontSize:t.noteFontSize,fontWeight:t.noteFontWeight}),V=t=>({fontFamily:t.actorFontFamily,fontSize:t.actorFontSize,fontWeight:t.actorFontWeight});const Q=function(t,e,n,r){if(r){let r=0;K.bumpVerticalPos(2*G.boxMargin);for(const a of n){const n=e[a];n.stopy||(n.stopy=K.getVerticalPos());const o=Y.drawActor(t,n,G,!0);r=i.e.getMax(r,o)}K.bumpVerticalPos(r+G.boxMargin)}else for(const i of n){const n=e[i];Y.drawActor(t,n,G,!1)}},J=function(t,e,n,i){let r=0,a=0;for(const o of n){const n=e[o],s=rt(n),c=Y.drawPopup(t,n,s,G,G.forceMenus,i);c.height>r&&(r=c.height),c.width+n.x>a&&(a=c.width+n.x)}return{maxHeight:r,maxWidth:a}},tt=function(t){(0,i.f)(G,t),t.fontFamily&&(G.actorFontFamily=G.noteFontFamily=G.messageFontFamily=t.fontFamily),t.fontSize&&(G.actorFontSize=G.noteFontSize=G.messageFontSize=t.fontSize),t.fontWeight&&(G.actorFontWeight=G.noteFontWeight=G.messageFontWeight=t.fontWeight)},et=function(t){return K.activations.filter((function(e){return e.actor===t}))},nt=function(t,e){const n=e[t],r=et(t);return[r.reduce((function(t,e){return i.e.getMin(t,e.startx)}),n.x+n.width/2),r.reduce((function(t,e){return i.e.getMax(t,e.stopx)}),n.x+n.width/2)]};function it(t,e,n,r,a){K.bumpVerticalPos(n);let o=r;if(e.id&&e.message&&t[e.id]){const n=t[e.id].width,a=W(G);e.message=i.u.wrapLabel(`[${e.message}]`,n-2*G.wrapPadding,a),e.width=n,e.wrap=!0;const s=i.u.calculateTextDimensions(e.message,a),c=i.e.getMax(s.height,G.labelBoxHeight);o=r+c,i.l.debug(`${c} - ${e.message}`)}a(e),K.bumpVerticalPos(o)}const rt=function(t){let e=0;const n=V(G);for(const r in t.links){const t=i.u.calculateTextDimensions(r,n).width+2*G.wrapPadding+2*G.boxMargin;e<t&&(e=t)}return e};const at=function(t,e,n,r){const a={},o=[];let s,c,u;return t.forEach((function(t){switch(t.id=i.u.random({length:10}),t.type){case r.db.LINETYPE.LOOP_START:case r.db.LINETYPE.ALT_START:case r.db.LINETYPE.OPT_START:case r.db.LINETYPE.PAR_START:case r.db.LINETYPE.PAR_OVER_START:case r.db.LINETYPE.CRITICAL_START:case r.db.LINETYPE.BREAK_START:o.push({id:t.id,msg:t.message,from:Number.MAX_SAFE_INTEGER,to:Number.MIN_SAFE_INTEGER,width:0});break;case r.db.LINETYPE.ALT_ELSE:case r.db.LINETYPE.PAR_AND:case r.db.LINETYPE.CRITICAL_OPTION:t.message&&(s=o.pop(),a[s.id]=s,a[t.id]=s,o.push(s));break;case r.db.LINETYPE.LOOP_END:case r.db.LINETYPE.ALT_END:case r.db.LINETYPE.OPT_END:case r.db.LINETYPE.PAR_END:case r.db.LINETYPE.CRITICAL_END:case r.db.LINETYPE.BREAK_END:s=o.pop(),a[s.id]=s;break;case r.db.LINETYPE.ACTIVE_START:{const n=e[t.from?t.from.actor:t.to.actor],i=et(t.from?t.from.actor:t.to.actor).length,r=n.x+n.width/2+(i-1)*G.activationWidth/2,a={startx:r,stopx:r+G.activationWidth,actor:t.from.actor,enabled:!0};K.activations.push(a)}break;case r.db.LINETYPE.ACTIVE_END:{const e=K.activations.map((t=>t.actor)).lastIndexOf(t.from.actor);delete K.activations.splice(e,1)[0]}}void 0!==t.placement?(c=function(t,e,n){const r=e[t.from].x,a=e[t.to].x,o=t.wrap&&t.message;let s=i.u.calculateTextDimensions(o?i.u.wrapLabel(t.message,G.width,X(G)):t.message,X(G));const c={width:o?G.width:i.e.getMax(G.width,s.width+2*G.noteMargin),height:0,startx:e[t.from].x,stopx:0,starty:0,stopy:0,message:t.message};return t.placement===n.db.PLACEMENT.RIGHTOF?(c.width=o?i.e.getMax(G.width,s.width):i.e.getMax(e[t.from].width/2+e[t.to].width/2,s.width+2*G.noteMargin),c.startx=r+(e[t.from].width+G.actorMargin)/2):t.placement===n.db.PLACEMENT.LEFTOF?(c.width=o?i.e.getMax(G.width,s.width+2*G.noteMargin):i.e.getMax(e[t.from].width/2+e[t.to].width/2,s.width+2*G.noteMargin),c.startx=r-c.width+(e[t.from].width-G.actorMargin)/2):t.to===t.from?(s=i.u.calculateTextDimensions(o?i.u.wrapLabel(t.message,i.e.getMax(G.width,e[t.from].width),X(G)):t.message,X(G)),c.width=o?i.e.getMax(G.width,e[t.from].width):i.e.getMax(e[t.from].width,G.width,s.width+2*G.noteMargin),c.startx=r+(e[t.from].width-c.width)/2):(c.width=Math.abs(r+e[t.from].width/2-(a+e[t.to].width/2))+G.actorMargin,c.startx=r<a?r+e[t.from].width/2-G.actorMargin/2:a+e[t.to].width/2-G.actorMargin/2),o&&(c.message=i.u.wrapLabel(t.message,c.width-2*G.wrapPadding,X(G))),i.l.debug(`NM:[${c.startx},${c.stopx},${c.starty},${c.stopy}:${c.width},${c.height}=${t.message}]`),c}(t,e,r),t.noteModel=c,o.forEach((t=>{s=t,s.from=i.e.getMin(s.from,c.startx),s.to=i.e.getMax(s.to,c.startx+c.width),s.width=i.e.getMax(s.width,Math.abs(s.from-s.to))-G.labelBoxWidth}))):(u=function(t,e,n){let r=!1;if([n.db.LINETYPE.SOLID_OPEN,n.db.LINETYPE.DOTTED_OPEN,n.db.LINETYPE.SOLID,n.db.LINETYPE.DOTTED,n.db.LINETYPE.SOLID_CROSS,n.db.LINETYPE.DOTTED_CROSS,n.db.LINETYPE.SOLID_POINT,n.db.LINETYPE.DOTTED_POINT].includes(t.type)&&(r=!0),!r)return{};const a=nt(t.from,e),o=nt(t.to,e),s=a[0]<=o[0]?1:0,c=a[0]<o[0]?0:1,u=[...a,...o],l=Math.abs(o[c]-a[s]);t.wrap&&t.message&&(t.message=i.u.wrapLabel(t.message,i.e.getMax(l+2*G.wrapPadding,G.width),W(G)));const h=i.u.calculateTextDimensions(t.message,W(G));return{width:i.e.getMax(t.wrap?0:h.width+2*G.wrapPadding,l+2*G.wrapPadding,G.width),height:0,startx:a[s],stopx:o[c],starty:0,stopy:0,message:t.message,type:t.type,wrap:t.wrap,fromBounds:Math.min.apply(null,u),toBounds:Math.max.apply(null,u)}}(t,e,r),t.msgModel=u,u.startx&&u.stopx&&o.length>0&&o.forEach((n=>{if(s=n,u.startx===u.stopx){const n=e[t.from],r=e[t.to];s.from=i.e.getMin(n.x-u.width/2,n.x-n.width/2,s.from),s.to=i.e.getMax(r.x+u.width/2,r.x+n.width/2,s.to),s.width=i.e.getMax(s.width,Math.abs(s.to-s.from))-G.labelBoxWidth}else s.from=i.e.getMin(u.startx,s.from),s.to=i.e.getMax(u.stopx,s.to),s.width=i.e.getMax(s.width,u.width)-G.labelBoxWidth})))})),K.activations=[],i.l.debug("Loop type widths:",a),a},ot={parser:c,db:D,renderer:{bounds:K,drawActors:Q,drawActorsPopup:J,setConf:tt,draw:function(t,e,n,o){const{securityLevel:s,sequence:c}=(0,i.c)();let u;G=c,"sandbox"===s&&(u=(0,r.Ys)("#i"+e));const l="sandbox"===s?(0,r.Ys)(u.nodes()[0].contentDocument.body):(0,r.Ys)("body"),h="sandbox"===s?u.nodes()[0].contentDocument:document;K.init(),i.l.debug(o.db);const f="sandbox"===s?l.select(`[id="${e}"]`):(0,r.Ys)(`[id="${e}"]`),d=o.db.getActors(),g=o.db.getCreatedActors(),p=o.db.getDestroyedActors(),b=o.db.getBoxes();let w=o.db.getActorKeys();const y=o.db.getMessages(),m=o.db.getDiagramTitle(),v=o.db.hasAtLeastOneBox(),x=o.db.hasAtLeastOneBoxWithTitle(),k=function(t,e,n){const r={};return e.forEach((function(e){if(t[e.to]&&t[e.from]){const a=t[e.to];if(e.placement===n.db.PLACEMENT.LEFTOF&&!a.prevActor)return;if(e.placement===n.db.PLACEMENT.RIGHTOF&&!a.nextActor)return;const o=void 0!==e.placement,s=!o,c=o?X(G):W(G),u=e.wrap?i.u.wrapLabel(e.message,G.width-2*G.wrapPadding,c):e.message,l=i.u.calculateTextDimensions(u,c).width+2*G.wrapPadding;s&&e.from===a.nextActor?r[e.to]=i.e.getMax(r[e.to]||0,l):s&&e.from===a.prevActor?r[e.from]=i.e.getMax(r[e.from]||0,l):s&&e.from===e.to?(r[e.from]=i.e.getMax(r[e.from]||0,l/2),r[e.to]=i.e.getMax(r[e.to]||0,l/2)):e.placement===n.db.PLACEMENT.RIGHTOF?r[e.from]=i.e.getMax(r[e.from]||0,l):e.placement===n.db.PLACEMENT.LEFTOF?r[a.prevActor]=i.e.getMax(r[a.prevActor]||0,l):e.placement===n.db.PLACEMENT.OVER&&(a.prevActor&&(r[a.prevActor]=i.e.getMax(r[a.prevActor]||0,l/2)),a.nextActor&&(r[e.from]=i.e.getMax(r[e.from]||0,l/2)))}})),i.l.debug("maxMessageWidthPerActor:",r),r}(d,y,o);if(G.height=function(t,e,n){let r=0;Object.keys(t).forEach((e=>{const n=t[e];n.wrap&&(n.description=i.u.wrapLabel(n.description,G.width-2*G.wrapPadding,V(G)));const a=i.u.calculateTextDimensions(n.description,V(G));n.width=n.wrap?G.width:i.e.getMax(G.width,a.width+2*G.wrapPadding),n.height=n.wrap?i.e.getMax(a.height,G.height):G.height,r=i.e.getMax(r,n.height)}));for(const n in e){const r=t[n];if(!r)continue;const a=t[r.nextActor];if(!a){const t=e[n]+G.actorMargin-r.width/2;r.margin=i.e.getMax(t,G.actorMargin);continue}const o=e[n]+G.actorMargin-r.width/2-a.width/2;r.margin=i.e.getMax(o,G.actorMargin)}let a=0;return n.forEach((e=>{const n=W(G);let r=e.actorKeys.reduce(((e,n)=>e+(t[n].width+(t[n].margin||0))),0);r-=2*G.boxTextMargin,e.wrap&&(e.name=i.u.wrapLabel(e.name,r-2*G.wrapPadding,n));const o=i.u.calculateTextDimensions(e.name,n);a=i.e.getMax(o.height,a);const s=i.e.getMax(r,o.width+2*G.wrapPadding);if(e.margin=G.boxTextMargin,r<s){const t=(s-r)/2;e.margin+=t}})),n.forEach((t=>t.textMaxHeight=a)),i.e.getMax(r,G.height)}(d,k,b),Y.insertComputerIcon(f),Y.insertDatabaseIcon(f),Y.insertClockIcon(f),v&&(K.bumpVerticalPos(G.boxMargin),x&&K.bumpVerticalPos(b[0].textMaxHeight)),!0===G.hideUnusedParticipants){const t=new Set;y.forEach((e=>{t.add(e.from),t.add(e.to)})),w=w.filter((e=>t.has(e)))}!function(t,e,n,r,a,o,s){let c,u=0,l=0,h=0;for(const t of r){const r=e[t],o=r.box;c&&c!=o&&(s||K.models.addBox(c),l+=G.boxMargin+c.margin),o&&o!=c&&(s||(o.x=u+l,o.y=a),l+=o.margin),r.width=r.width||G.width,r.height=i.e.getMax(r.height||G.height,G.height),r.margin=r.margin||G.actorMargin,h=i.e.getMax(h,r.height),n[r.name]&&(l+=r.width/2),r.x=u+l,r.starty=K.getVerticalPos(),K.insert(r.x,a,r.x+r.width,r.height),u+=r.width+l,r.box&&(r.box.width=u+o.margin-r.box.x),l=r.margin,c=r.box,K.models.addActor(r)}c&&!s&&K.models.addBox(c),K.bumpVerticalPos(h)}(0,d,g,w,0,0,!1);const _=at(y,d,k,o);Y.insertArrowHead(f),Y.insertArrowCrossHead(f),Y.insertArrowFilledHead(f),Y.insertSequenceNumber(f);let E=1,T=1;const C=[],S=[];y.forEach((function(t,e){let n,r,s;switch(t.type){case o.db.LINETYPE.NOTE:K.resetVerticalPos(),r=t.noteModel,function(t,e){K.bumpVerticalPos(G.boxMargin),e.height=G.boxMargin,e.starty=K.getVerticalPos();const n=(0,a.g)();n.x=e.startx,n.y=e.starty,n.width=e.width||G.width,n.class="note";const i=t.append("g"),r=Y.drawRect(i,n),o=(0,a.e)();o.x=e.startx,o.y=e.starty,o.width=n.width,o.dy="1em",o.text=e.message,o.class="noteText",o.fontFamily=G.noteFontFamily,o.fontSize=G.noteFontSize,o.fontWeight=G.noteFontWeight,o.anchor=G.noteAlign,o.textMargin=G.noteMargin,o.valign="center";const s=R(i,o),c=Math.round(s.map((t=>(t._groups||t)[0][0].getBBox().height)).reduce(((t,e)=>t+e)));r.attr("height",c+2*G.noteMargin),e.height+=c+2*G.noteMargin,K.bumpVerticalPos(c+2*G.noteMargin),e.stopy=e.starty+c+2*G.noteMargin,e.stopx=e.startx+n.width,K.insert(e.startx,e.starty,e.stopx,e.stopy),K.models.addNote(e)}(f,r);break;case o.db.LINETYPE.ACTIVE_START:K.newActivation(t,f,d);break;case o.db.LINETYPE.ACTIVE_END:!function(t,e){const n=K.endActivation(t);n.starty+18>e&&(n.starty=e-6,e+=12),Y.drawActivation(f,n,e,G,et(t.from.actor).length),K.insert(n.startx,e-10,n.stopx,e)}(t,K.getVerticalPos());break;case o.db.LINETYPE.LOOP_START:it(_,t,G.boxMargin,G.boxMargin+G.boxTextMargin,(t=>K.newLoop(t)));break;case o.db.LINETYPE.LOOP_END:n=K.endLoop(),Y.drawLoop(f,n,"loop",G),K.bumpVerticalPos(n.stopy-K.getVerticalPos()),K.models.addLoop(n);break;case o.db.LINETYPE.RECT_START:it(_,t,G.boxMargin,G.boxMargin,(t=>K.newLoop(void 0,t.message)));break;case o.db.LINETYPE.RECT_END:n=K.endLoop(),S.push(n),K.models.addLoop(n),K.bumpVerticalPos(n.stopy-K.getVerticalPos());break;case o.db.LINETYPE.OPT_START:it(_,t,G.boxMargin,G.boxMargin+G.boxTextMargin,(t=>K.newLoop(t)));break;case o.db.LINETYPE.OPT_END:n=K.endLoop(),Y.drawLoop(f,n,"opt",G),K.bumpVerticalPos(n.stopy-K.getVerticalPos()),K.models.addLoop(n);break;case o.db.LINETYPE.ALT_START:it(_,t,G.boxMargin,G.boxMargin+G.boxTextMargin,(t=>K.newLoop(t)));break;case o.db.LINETYPE.ALT_ELSE:it(_,t,G.boxMargin+G.boxTextMargin,G.boxMargin,(t=>K.addSectionToLoop(t)));break;case o.db.LINETYPE.ALT_END:n=K.endLoop(),Y.drawLoop(f,n,"alt",G),K.bumpVerticalPos(n.stopy-K.getVerticalPos()),K.models.addLoop(n);break;case o.db.LINETYPE.PAR_START:case o.db.LINETYPE.PAR_OVER_START:it(_,t,G.boxMargin,G.boxMargin+G.boxTextMargin,(t=>K.newLoop(t))),K.saveVerticalPos();break;case o.db.LINETYPE.PAR_AND:it(_,t,G.boxMargin+G.boxTextMargin,G.boxMargin,(t=>K.addSectionToLoop(t)));break;case o.db.LINETYPE.PAR_END:n=K.endLoop(),Y.drawLoop(f,n,"par",G),K.bumpVerticalPos(n.stopy-K.getVerticalPos()),K.models.addLoop(n);break;case o.db.LINETYPE.AUTONUMBER:E=t.message.start||E,T=t.message.step||T,t.message.visible?o.db.enableSequenceNumbers():o.db.disableSequenceNumbers();break;case o.db.LINETYPE.CRITICAL_START:it(_,t,G.boxMargin,G.boxMargin+G.boxTextMargin,(t=>K.newLoop(t)));break;case o.db.LINETYPE.CRITICAL_OPTION:it(_,t,G.boxMargin+G.boxTextMargin,G.boxMargin,(t=>K.addSectionToLoop(t)));break;case o.db.LINETYPE.CRITICAL_END:n=K.endLoop(),Y.drawLoop(f,n,"critical",G),K.bumpVerticalPos(n.stopy-K.getVerticalPos()),K.models.addLoop(n);break;case o.db.LINETYPE.BREAK_START:it(_,t,G.boxMargin,G.boxMargin+G.boxTextMargin,(t=>K.newLoop(t)));break;case 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"+(c+1)+":\n"+d.showPosition()+"\nExpecting "+C.join(", ")+", got '"+(this.terminals_[m]||m)+"'":"Parse error on line "+(c+1)+": Unexpected "+(m==h?"end of input":"'"+(this.terminals_[m]||m)+"'"),this.parseError(A,{text:d.match,token:this.terminals_[m]||m,line:d.yylineno,loc:b,expected:C})}if(x[0]instanceof Array&&x.length>1)throw new Error("Parse Error: multiple actions possible at state: "+v+", token: "+m);switch(x[0]){case 1:n.push(m),r.push(d.yytext),a.push(d.yylloc),n.push(x[1]),m=null,u=d.yyleng,s=d.yytext,c=d.yylineno,b=d.yylloc;break;case 2:if(E=this.productions_[x[1]][1],S.$=r[r.length-E],S._$={first_line:a[a.length-(E||1)].first_line,last_line:a[a.length-1].last_line,first_column:a[a.length-(E||1)].first_column,last_column:a[a.length-1].last_column},w&&(S._$.range=[a[a.length-(E||1)].range[0],a[a.length-1].range[1]]),void 0!==(k=this.performAction.apply(S,[s,u,c,g.yy,x[1],r,a].concat(f))))return k;E&&(n=n.slice(0,-1*E*2),r=r.slice(0,-1*E),a=a.slice(0,-1*E)),n.push(this.productions_[x[1]][0]),r.push(S.$),a.push(S._$),T=o[n[n.length-2]][n[n.length-1]],n.push(T);break;case 3:return!0}}return!0}},K={EOF:1,parseError:function(t,e){if(!this.yy.parser)throw new Error(t);this.yy.parser.parseError(t,e)},setInput:function(t,e){return this.yy=e||this.yy||{},this._input=t,this._more=this._backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match="",this.conditionStack=["INITIAL"],this.yylloc={first_line:1,first_column:0,last_line:1,last_column:0},this.options.ranges&&(this.yylloc.range=[0,0]),this.offset=0,this},input:function(){var t=this._input[0];return this.yytext+=t,this.yyleng++,this.offset++,this.match+=t,this.matched+=t,t.match(/(?:\r\n?|\n).*/g)?(this.yylineno++,this.yylloc.last_line++):this.yylloc.last_column++,this.options.ranges&&this.yylloc.range[1]++,this._input=this._input.slice(1),t},unput:function(t){var e=t.length,n=t.split(/(?:\r\n?|\n)/g);this._input=t+this._input,this.yytext=this.yytext.substr(0,this.yytext.length-e),this.offset-=e;var i=this.match.split(/(?:\r\n?|\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),n.length-1&&(this.yylineno-=n.length-1);var r=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:n?(n.length===i.length?this.yylloc.first_column:0)+i[i.length-n.length].length-n[0].length:this.yylloc.first_column-e},this.options.ranges&&(this.yylloc.range=[r[0],r[0]+this.yyleng-e]),this.yyleng=this.yytext.length,this},more:function(){return this._more=!0,this},reject:function(){return this.options.backtrack_lexer?(this._backtrack=!0,this):this.parseError("Lexical error on line "+(this.yylineno+1)+". You can only invoke reject() in the lexer when the lexer is of the backtracking persuasion (options.backtrack_lexer = true).\n"+this.showPosition(),{text:"",token:null,line:this.yylineno})},less:function(t){this.unput(this.match.slice(t))},pastInput:function(){var t=this.matched.substr(0,this.matched.length-this.match.length);return(t.length>20?"...":"")+t.substr(-20).replace(/\n/g,"")},upcomingInput:function(){var t=this.match;return t.length<20&&(t+=this._input.substr(0,20-t.length)),(t.substr(0,20)+(t.length>20?"...":"")).replace(/\n/g,"")},showPosition:function(){var t=this.pastInput(),e=new Array(t.length+1).join("-");return t+this.upcomingInput()+"\n"+e+"^"},test_match:function(t,e){var n,i,r;if(this.options.backtrack_lexer&&(r={yylineno:this.yylineno,yylloc:{first_line:this.yylloc.first_line,last_line:this.last_line,first_column:this.yylloc.first_column,last_column:this.yylloc.last_column},yytext:this.yytext,match:this.match,matches:this.matches,matched:this.matched,yyleng:this.yyleng,offset:this.offset,_more:this._more,_input:this._input,yy:this.yy,conditionStack:this.conditionStack.slice(0),done:this.done},this.options.ranges&&(r.yylloc.range=this.yylloc.range.slice(0))),(i=t[0].match(/(?:\r\n?|\n).*/g))&&(this.yylineno+=i.length),this.yylloc={first_line:this.yylloc.last_line,last_line:this.yylineno+1,first_column:this.yylloc.last_column,last_column:i?i[i.length-1].length-i[i.length-1].match(/\r?\n?/)[0].length:this.yylloc.last_column+t[0].length},this.yytext+=t[0],this.match+=t[0],this.matches=t,this.yyleng=this.yytext.length,this.options.ranges&&(this.yylloc.range=[this.offset,this.offset+=this.yyleng]),this._more=!1,this._backtrack=!1,this._input=this._input.slice(t[0].length),this.matched+=t[0],n=this.performAction.call(this,this.yy,this,e,this.conditionStack[this.conditionStack.length-1]),this.done&&this._input&&(this.done=!1),n)return n;if(this._backtrack){for(var a in r)this[a]=r[a];return!1}return!1},next:function(){if(this.done)return this.EOF;var t,e,n,i;this._input||(this.done=!0),this._more||(this.yytext="",this.match="");for(var r=this._currentRules(),a=0;a<r.length;a++)if((n=this._input.match(this.rules[r[a]]))&&(!e||n[0].length>e[0].length)){if(e=n,i=a,this.options.backtrack_lexer){if(!1!==(t=this.test_match(n,r[a])))return t;if(this._backtrack){e=!1;continue}return!1}if(!this.options.flex)break}return e?!1!==(t=this.test_match(e,r[i]))&&t:""===this._input?this.EOF:this.parseError("Lexical error on line "+(this.yylineno+1)+". Unrecognized text.\n"+this.showPosition(),{text:"",token:null,line:this.yylineno})},lex:function(){var t=this.next();return t||this.lex()},begin:function(t){this.conditionStack.push(t)},popState:function(){return this.conditionStack.length-1>0?this.conditionStack.pop():this.conditionStack[0]},_currentRules:function(){return this.conditionStack.length&&this.conditionStack[this.conditionStack.length-1]?this.conditions[this.conditionStack[this.conditionStack.length-1]].rules:this.conditions.INITIAL.rules},topState:function(t){return(t=this.conditionStack.length-1-Math.abs(t||0))>=0?this.conditionStack[t]:"INITIAL"},pushState:function(t){this.begin(t)},stateStackSize:function(){return this.conditionStack.length},options:{},performAction:function(t,e,n,i){switch(n){case 0:return this.begin("open_directive"),19;case 1:return 8;case 2:return 9;case 3:return 10;case 4:return 11;case 5:return this.begin("type_directive"),20;case 6:return this.popState(),this.begin("arg_directive"),17;case 7:return this.popState(),this.popState(),22;case 8:return 21;case 9:case 10:case 19:case 34:case 39:case 43:case 50:break;case 11:return this.begin("acc_title"),44;case 12:return this.popState(),"acc_title_value";case 13:return this.begin("acc_descr"),46;case 14:return this.popState(),"acc_descr_value";case 15:this.begin("acc_descr_multiline");break;case 16:case 24:case 27:case 29:case 61:case 64:this.popState();break;case 17:return"acc_descr_multiline_value";case 18:case 38:return 16;case 20:case 21:return 23;case 22:case 40:case 48:return"EDGE_STATE";case 23:this.begin("callback_name");break;case 25:this.popState(),this.begin("callback_args");break;case 26:return 79;case 28:return 80;case 30:return"STR";case 31:this.begin("string");break;case 32:return this.begin("namespace"),53;case 33:case 42:return this.popState(),16;case 35:return this.begin("namespace-body"),50;case 36:case 46:return this.popState(),52;case 37:case 47:return"EOF_IN_STRUCT";case 41:return this.begin("class"),57;case 44:return this.popState(),this.popState(),52;case 45:return this.begin("class-body"),50;case 49:return"OPEN_IN_STRUCT";case 51:return"MEMBER";case 52:return 82;case 53:return 75;case 54:return 76;case 55:return 78;case 56:return 63;case 57:return 65;case 58:return 58;case 59:return 59;case 60:return 81;case 62:return"GENERICTYPE";case 63:this.begin("generic");break;case 65:return"BQUOTE_STR";case 66:this.begin("bqstring");break;case 67:case 68:case 69:case 70:return 77;case 71:case 72:return 69;case 73:case 74:return 71;case 75:return 70;case 76:return 68;case 77:return 72;case 78:return 73;case 79:return 74;case 80:return 36;case 81:return 55;case 82:return 94;case 83:return"DOT";case 84:return"PLUS";case 85:return 91;case 86:case 87:return"EQUALS";case 88:return 98;case 89:return 27;case 90:return 29;case 91:return"PUNCTUATION";case 92:return 97;case 93:return 96;case 94:return 93;case 95:return 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P(){this.yy={}}return O.lexer=N,P.prototype=O,O.Parser=P,new P}();r.parser=r;const a=r,o="TB",s="state",c="relation",u="default",l="divider",h="[*]",f="start",d="color",g="fill";let p="LR",b=[],w={};let y={root:{relations:[],states:{},documents:{}}},m=y.root,v=0,x=0;const k=t=>JSON.parse(JSON.stringify(t)),_=(t,e,n)=>{if(e.stmt===c)_(t,e.state1,!0),_(t,e.state2,!1);else if(e.stmt===s&&("[*]"===e.id?(e.id=n?t.id+"_start":t.id+"_end",e.start=n):e.id=e.id.trim()),e.doc){const t=[];let n,r=[];for(n=0;n<e.doc.length;n++)if(e.doc[n].type===l){const i=k(e.doc[n]);i.doc=k(r),t.push(i),r=[]}else r.push(e.doc[n]);if(t.length>0&&r.length>0){const n={stmt:s,id:(0,i.I)(),type:"divider",doc:k(r)};t.push(k(n)),e.doc=t}e.doc.forEach((t=>_(e,t,!0)))}},E=function(t,e=u,n=null,r=null,a=null,o=null,s=null,c=null){const l=null==t?void 0:t.trim();if(void 0===m.states[l]?(i.l.info("Adding state 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${t.stateBorder||t.nodeBorder};\n}\n\n.statediagram-state .title-state {\n  rx: 5px;\n  ry: 5px;\n}\n.statediagram-cluster.statediagram-cluster .inner {\n  fill: ${t.compositeBackground||t.background};\n}\n.statediagram-cluster.statediagram-cluster-alt .inner {\n  fill: ${t.altBackground?t.altBackground:"#efefef"};\n}\n\n.statediagram-cluster .inner {\n  rx:0;\n  ry:0;\n}\n\n.statediagram-state rect.basic {\n  rx: 5px;\n  ry: 5px;\n}\n.statediagram-state rect.divider {\n  stroke-dasharray: 10,10;\n  fill: ${t.altBackground?t.altBackground:"#efefef"};\n}\n\n.note-edge {\n  stroke-dasharray: 5;\n}\n\n.statediagram-note rect {\n  fill: ${t.noteBkgColor};\n  stroke: ${t.noteBorderColor};\n  stroke-width: 1px;\n  rx: 0;\n  ry: 0;\n}\n.statediagram-note rect {\n  fill: ${t.noteBkgColor};\n  stroke: ${t.noteBorderColor};\n  stroke-width: 1px;\n  rx: 0;\n  ry: 0;\n}\n\n.statediagram-note text {\n  fill: ${t.noteTextColor};\n}\n\n.statediagram-note .nodeLabel {\n  color: 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+  box-sizing: content-box;
+  overflow: hidden;
+  background: transparent;
+  border-bottom: 1px solid var(--borderColor-muted, var(--color-border-muted));
+  height: .25em;
+  padding: 0;
+  margin: 24px 0;
+  background-color: var(--borderColor-default, var(--color-border-default));
+  border: 0;
+}
+
+.github-markdown-body input {
+  font: inherit;
+  margin: 0;
+  overflow: visible;
+  font-family: inherit;
+  font-size: inherit;
+  line-height: inherit;
+}
+
+.github-markdown-body [type=button],
+.github-markdown-body [type=reset],
+.github-markdown-body [type=submit] {
+  -webkit-appearance: button;
+}
+
+.github-markdown-body [type=checkbox],
+.github-markdown-body [type=radio] {
+  box-sizing: border-box;
+  padding: 0;
+}
+
+.github-markdown-body [type=number]::-webkit-inner-spin-button,
+.github-markdown-body [type=number]::-webkit-outer-spin-button {
+  height: auto;
+}
+
+.github-markdown-body [type=search]::-webkit-search-cancel-button,
+.github-markdown-body [type=search]::-webkit-search-decoration {
+  -webkit-appearance: none;
+}
+
+.github-markdown-body ::-webkit-input-placeholder {
+  color: inherit;
+  opacity: .54;
+}
+
+.github-markdown-body ::-webkit-file-upload-button {
+  -webkit-appearance: button;
+  font: inherit;
+}
+
+.github-markdown-body a:hover {
+  text-decoration: underline;
+}
+
+.github-markdown-body ::placeholder {
+  color: var(--fgColor-muted, var(--color-fg-subtle));
+  opacity: 1;
+}
+
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+  display: table;
+  content: "";
+}
+
+.github-markdown-body hr::after {
+  display: table;
+  clear: both;
+  content: "";
+}
+
+.github-markdown-body table {
+  border-spacing: 0;
+  border-collapse: collapse;
+  display: block;
+  width: max-content;
+  max-width: 100%;
+  overflow: auto;
+}
+
+.github-markdown-body td,
+.github-markdown-body th {
+  padding: 0;
+}
+
+.github-markdown-body details summary {
+  cursor: pointer;
+}
+
+.github-markdown-body details:not([open])>*:not(summary) {
+  display: none !important;
+}
+
+.github-markdown-body a:focus,
+.github-markdown-body [role=button]:focus,
+.github-markdown-body input[type=radio]:focus,
+.github-markdown-body input[type=checkbox]:focus {
+  outline: 2px solid var(--focus-outlineColor, var(--color-accent-fg));
+  outline-offset: -2px;
+  box-shadow: none;
+}
+
+.github-markdown-body a:focus:not(:focus-visible),
+.github-markdown-body [role=button]:focus:not(:focus-visible),
+.github-markdown-body input[type=radio]:focus:not(:focus-visible),
+.github-markdown-body input[type=checkbox]:focus:not(:focus-visible) {
+  outline: solid 1px transparent;
+}
+
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+.github-markdown-body [role=button]:focus-visible,
+.github-markdown-body input[type=radio]:focus-visible,
+.github-markdown-body input[type=checkbox]:focus-visible {
+  outline: 2px solid var(--focus-outlineColor, var(--color-accent-fg));
+  outline-offset: -2px;
+  box-shadow: none;
+}
+
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+.github-markdown-body a:not([class]):focus-visible,
+.github-markdown-body input[type=radio]:focus,
+.github-markdown-body input[type=radio]:focus-visible,
+.github-markdown-body input[type=checkbox]:focus,
+.github-markdown-body input[type=checkbox]:focus-visible {
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+}
+
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+  display: inline-block;
+  padding: 3px 5px;
+  font: 11px ui-monospace,SFMono-Regular,SF Mono,Menlo,Consolas,Liberation Mono,monospace;
+  line-height: 10px;
+  color: var(--fgColor-default, var(--color-fg-default));
+  vertical-align: middle;
+  background-color: var(--bgColor-muted, var(--color-canvas-subtle));
+  border: solid 1px var(--borderColor-neutral-muted, var(--color-neutral-muted));
+  border-bottom-color: var(--borderColor-neutral-muted, var(--color-neutral-muted));
+  border-radius: 6px;
+  box-shadow: inset 0 -1px 0 var(--borderColor-neutral-muted, var(--color-neutral-muted));
+}
+
+.github-markdown-body h1,
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+.github-markdown-body h5,
+.github-markdown-body h6 {
+  margin-top: 24px;
+  margin-bottom: 16px;
+  font-weight: var(--base-text-weight-semibold, 600);
+  line-height: 1.25;
+}
+
+.github-markdown-body h2 {
+  font-weight: var(--base-text-weight-semibold, 600);
+  padding-bottom: .3em;
+  font-size: 1.5em;
+  border-bottom: 1px solid var(--borderColor-muted, var(--color-border-muted));
+}
+
+.github-markdown-body h3 {
+  font-weight: var(--base-text-weight-semibold, 600);
+  font-size: 1.25em;
+}
+
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+  font-weight: var(--base-text-weight-semibold, 600);
+  font-size: 1em;
+}
+
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+  font-weight: var(--base-text-weight-semibold, 600);
+  font-size: .875em;
+}
+
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+  font-weight: var(--base-text-weight-semibold, 600);
+  font-size: .85em;
+  color: var(--fgColor-muted, var(--color-fg-muted));
+}
+
+.github-markdown-body p {
+  margin-top: 0;
+  margin-bottom: 10px;
+}
+
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+  margin: 0;
+  padding: 0 1em;
+  color: var(--fgColor-muted, var(--color-fg-muted));
+  border-left: .25em solid var(--borderColor-default, var(--color-border-default));
+}
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+  margin-top: 0;
+  margin-bottom: 0;
+  padding-left: 2em;
+}
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+.github-markdown-body ul ol {
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+}
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+  list-style-type: lower-alpha;
+}
+
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+}
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+  font-family: ui-monospace,SFMono-Regular,SF Mono,Menlo,Consolas,Liberation Mono,monospace;
+  font-size: 12px;
+}
+
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+  margin-top: 0;
+  margin-bottom: 0;
+  font-family: ui-monospace,SFMono-Regular,SF Mono,Menlo,Consolas,Liberation Mono,monospace;
+  font-size: 12px;
+  word-wrap: normal;
+}
+
+.github-markdown-body .octicon {
+  display: inline-block;
+  overflow: visible !important;
+  vertical-align: text-bottom;
+  fill: currentColor;
+}
+
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+.github-markdown-body input::-webkit-inner-spin-button {
+  margin: 0;
+  -webkit-appearance: none;
+  appearance: none;
+}
+
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+  display: table;
+  content: "";
+}
+
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+  display: table;
+  clear: both;
+  content: "";
+}
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+  margin-top: 0 !important;
+}
+
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+  margin-bottom: 0 !important;
+}
+
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+  color: inherit;
+  text-decoration: none;
+}
+
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+  color: var(--fgColor-danger, var(--color-danger-fg));
+}
+
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+  float: left;
+  padding-right: 4px;
+  margin-left: -20px;
+  line-height: 1;
+}
+
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+  outline: none;
+}
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+.github-markdown-body table,
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+  margin-top: 0;
+  margin-bottom: 16px;
+}
+
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+  margin-top: 0;
+}
+
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+  margin-bottom: 0;
+}
+
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+.github-markdown-body h3 .octicon-link,
+.github-markdown-body h4 .octicon-link,
+.github-markdown-body h5 .octicon-link,
+.github-markdown-body h6 .octicon-link {
+  color: var(--fgColor-default, var(--color-fg-default));
+  vertical-align: middle;
+  visibility: hidden;
+}
+
+.github-markdown-body h1:hover .anchor,
+.github-markdown-body h2:hover .anchor,
+.github-markdown-body h3:hover .anchor,
+.github-markdown-body h4:hover .anchor,
+.github-markdown-body h5:hover .anchor,
+.github-markdown-body h6:hover .anchor {
+  text-decoration: none;
+}
+
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+.github-markdown-body h2:hover .anchor .octicon-link,
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+.github-markdown-body h4:hover .anchor .octicon-link,
+.github-markdown-body h5:hover .anchor .octicon-link,
+.github-markdown-body h6:hover .anchor .octicon-link {
+  visibility: visible;
+}
+
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+.github-markdown-body h2 tt,
+.github-markdown-body h2 code,
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+.github-markdown-body h4 code,
+.github-markdown-body h5 tt,
+.github-markdown-body h5 code,
+.github-markdown-body h6 tt,
+.github-markdown-body h6 code {
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+  font-size: inherit;
+}
+
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+.github-markdown-body summary h4,
+.github-markdown-body summary h5,
+.github-markdown-body summary h6 {
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+}
+
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+.github-markdown-body summary h3 .anchor,
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+.github-markdown-body summary h5 .anchor,
+.github-markdown-body summary h6 .anchor {
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+}
+
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+  padding-bottom: 0;
+  border-bottom: 0;
+}
+
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+  list-style-type: none;
+}
+
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+  list-style-type: lower-alpha;
+}
+
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+  list-style-type: upper-alpha;
+}
+
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+  list-style-type: lower-roman;
+}
+
+.github-markdown-body ol[type="I s"] {
+  list-style-type: upper-roman;
+}
+
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+  list-style-type: decimal;
+}
+
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+  list-style-type: decimal;
+}
+
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+.github-markdown-body ul ol,
+.github-markdown-body ol ol,
+.github-markdown-body ol ul {
+  margin-top: 0;
+  margin-bottom: 0;
+}
+
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+  margin-top: 16px;
+}
+
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+  margin-top: .25em;
+}
+
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+  padding: 0;
+}
+
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+  padding: 0;
+  margin-top: 16px;
+  font-size: 1em;
+  font-style: italic;
+  font-weight: var(--base-text-weight-semibold, 600);
+}
+
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+  padding: 0 16px;
+  margin-bottom: 16px;
+}
+
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+  font-weight: var(--base-text-weight-semibold, 600);
+}
+
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+  padding: 6px 13px;
+  border: 1px solid var(--borderColor-default, var(--color-border-default));
+}
+
+.github-markdown-body table td>:last-child {
+  margin-bottom: 0;
+}
+
+.github-markdown-body table tr {
+  background-color: var(--bgColor-default, var(--color-canvas-default));
+  border-top: 1px solid var(--borderColor-muted, var(--color-border-muted));
+}
+
+.github-markdown-body table tr:nth-child(2n) {
+  background-color: var(--bgColor-muted, var(--color-canvas-subtle));
+}
+
+.github-markdown-body table img {
+  background-color: transparent;
+}
+
+.github-markdown-body img[align=right] {
+  padding-left: 20px;
+}
+
+.github-markdown-body img[align=left] {
+  padding-right: 20px;
+}
+
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+  max-width: none;
+  vertical-align: text-top;
+  background-color: transparent;
+}
+
+.github-markdown-body span.frame {
+  display: block;
+  overflow: hidden;
+}
+
+.github-markdown-body span.frame>span {
+  display: block;
+  float: left;
+  width: auto;
+  padding: 7px;
+  margin: 13px 0 0;
+  overflow: hidden;
+  border: 1px solid var(--borderColor-default, var(--color-border-default));
+}
+
+.github-markdown-body span.frame span img {
+  display: block;
+  float: left;
+}
+
+.github-markdown-body span.frame span span {
+  display: block;
+  padding: 5px 0 0;
+  clear: both;
+  color: var(--fgColor-default, var(--color-fg-default));
+}
+
+.github-markdown-body span.align-center {
+  display: block;
+  overflow: hidden;
+  clear: both;
+}
+
+.github-markdown-body span.align-center>span {
+  display: block;
+  margin: 13px auto 0;
+  overflow: hidden;
+  text-align: center;
+}
+
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+  margin: 0 auto;
+  text-align: center;
+}
+
+.github-markdown-body span.align-right {
+  display: block;
+  overflow: hidden;
+  clear: both;
+}
+
+.github-markdown-body span.align-right>span {
+  display: block;
+  margin: 13px 0 0;
+  overflow: hidden;
+  text-align: right;
+}
+
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+  margin: 0;
+  text-align: right;
+}
+
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+  display: block;
+  float: left;
+  margin-right: 13px;
+  overflow: hidden;
+}
+
+.github-markdown-body span.float-left span {
+  margin: 13px 0 0;
+}
+
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+  display: block;
+  float: right;
+  margin-left: 13px;
+  overflow: hidden;
+}
+
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+  display: block;
+  margin: 13px auto 0;
+  overflow: hidden;
+  text-align: right;
+}
+
+.github-markdown-body code,
+.github-markdown-body tt {
+  padding: .2em .4em;
+  margin: 0;
+  font-size: 85%;
+  white-space: break-spaces;
+  background-color: var(--bgColor-neutral-muted, var(--color-neutral-muted));
+  border-radius: 6px;
+}
+
+.github-markdown-body code br,
+.github-markdown-body tt br {
+  display: none;
+}
+
+.github-markdown-body del code {
+  text-decoration: inherit;
+}
+
+.github-markdown-body samp {
+  font-size: 85%;
+}
+
+.github-markdown-body pre code {
+  font-size: 100%;
+}
+
+.github-markdown-body pre>code {
+  padding: 0;
+  margin: 0;
+  word-break: normal;
+  white-space: pre;
+  background: transparent;
+  border: 0;
+}
+
+.github-markdown-body .highlight {
+  margin-bottom: 16px;
+}
+
+.github-markdown-body .highlight pre {
+  margin-bottom: 0;
+  word-break: normal;
+}
+
+.github-markdown-body .highlight pre,
+.github-markdown-body pre {
+  padding: 16px;
+  overflow: auto;
+  font-size: 85%;
+  line-height: 1.45;
+  color: var(--fgColor-default, var(--color-fg-default));
+  background-color: var(--bgColor-muted, var(--color-canvas-subtle));
+  border-radius: 6px;
+}
+
+.github-markdown-body pre code,
+.github-markdown-body pre tt {
+  display: inline;
+  max-width: auto;
+  padding: 0;
+  margin: 0;
+  overflow: visible;
+  line-height: inherit;
+  word-wrap: normal;
+  background-color: transparent;
+  border: 0;
+}
+
+.github-markdown-body .csv-data td,
+.github-markdown-body .csv-data th {
+  padding: 5px;
+  overflow: hidden;
+  font-size: 12px;
+  line-height: 1;
+  text-align: left;
+  white-space: nowrap;
+}
+
+.github-markdown-body .csv-data .blob-num {
+  padding: 10px 8px 9px;
+  text-align: right;
+  background: var(--bgColor-default, var(--color-canvas-default));
+  border: 0;
+}
+
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+  border-top: 0;
+}
+
+.github-markdown-body .csv-data th {
+  font-weight: var(--base-text-weight-semibold, 600);
+  background: var(--bgColor-muted, var(--color-canvas-subtle));
+  border-top: 0;
+}
+
+.github-markdown-body [data-footnote-ref]::before {
+  content: "[";
+}
+
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+  content: "]";
+}
+
+.github-markdown-body .footnotes {
+  font-size: 12px;
+  color: var(--fgColor-muted, var(--color-fg-muted));
+  border-top: 1px solid var(--borderColor-default, var(--color-border-default));
+}
+
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+  padding-left: 16px;
+}
+
+.github-markdown-body .footnotes ol ul {
+  display: inline-block;
+  padding-left: 16px;
+  margin-top: 16px;
+}
+
+.github-markdown-body .footnotes li {
+  position: relative;
+}
+
+.github-markdown-body .footnotes li:target::before {
+  position: absolute;
+  top: -8px;
+  right: -8px;
+  bottom: -8px;
+  left: -24px;
+  pointer-events: none;
+  content: "";
+  border: 2px solid var(--borderColor-accent-emphasis, var(--color-accent-emphasis));
+  border-radius: 6px;
+}
+
+.github-markdown-body .footnotes li:target {
+  color: var(--fgColor-default, var(--color-fg-default));
+}
+
+.github-markdown-body .footnotes .data-footnote-backref g-emoji {
+  font-family: monospace;
+}
+
+.github-markdown-body [popover] {
+  background-color: canvas;
+  border: initial solid;
+  border-color: initial;
+  border-image: initial;
+  color: initial;
+  height: fit-content;
+  inset: 0;
+  margin: auto;
+  overflow: auto;
+  padding: .25em;
+  position: fixed;
+  width: fit-content;
+  z-index: 2147483647;
+}
+
+.github-markdown-body [popover]:not(.\:popover-open) {
+  display: none;
+}
+
+.github-markdown-body [popover]:is(dialog[open]) {
+  display: revert;
+}
+
+.github-markdown-body [anchor].\:popover-open {
+  inset: auto;
+}
+
+.github-markdown-body .pl-c {
+  color: var(--color-prettylights-syntax-comment);
+}
+
+.github-markdown-body .pl-c1,
+.github-markdown-body .pl-s .pl-v {
+  color: var(--color-prettylights-syntax-constant);
+}
+
+.github-markdown-body .pl-e,
+.github-markdown-body .pl-en {
+  color: var(--color-prettylights-syntax-entity);
+}
+
+.github-markdown-body .pl-smi,
+.github-markdown-body .pl-s .pl-s1 {
+  color: var(--color-prettylights-syntax-storage-modifier-import);
+}
+
+.github-markdown-body .pl-ent {
+  color: var(--color-prettylights-syntax-entity-tag);
+}
+
+.github-markdown-body .pl-k {
+  color: var(--color-prettylights-syntax-keyword);
+}
+
+.github-markdown-body .pl-s,
+.github-markdown-body .pl-pds,
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+.github-markdown-body .pl-sr,
+.github-markdown-body .pl-sr .pl-cce,
+.github-markdown-body .pl-sr .pl-sre,
+.github-markdown-body .pl-sr .pl-sra {
+  color: var(--color-prettylights-syntax-string);
+}
+
+.github-markdown-body .pl-v,
+.github-markdown-body .pl-smw {
+  color: var(--color-prettylights-syntax-variable);
+}
+
+.github-markdown-body .pl-bu {
+  color: var(--color-prettylights-syntax-brackethighlighter-unmatched);
+}
+
+.github-markdown-body .pl-ii {
+  color: var(--color-prettylights-syntax-invalid-illegal-text);
+  background-color: var(--color-prettylights-syntax-invalid-illegal-bg);
+}
+
+.github-markdown-body .pl-c2 {
+  color: var(--color-prettylights-syntax-carriage-return-text);
+  background-color: var(--color-prettylights-syntax-carriage-return-bg);
+}
+
+.github-markdown-body .pl-sr .pl-cce {
+  font-weight: bold;
+  color: var(--color-prettylights-syntax-string-regexp);
+}
+
+.github-markdown-body .pl-ml {
+  color: var(--color-prettylights-syntax-markup-list);
+}
+
+.github-markdown-body .pl-mh,
+.github-markdown-body .pl-mh .pl-en,
+.github-markdown-body .pl-ms {
+  font-weight: bold;
+  color: var(--color-prettylights-syntax-markup-heading);
+}
+
+.github-markdown-body .pl-mi {
+  font-style: italic;
+  color: var(--color-prettylights-syntax-markup-italic);
+}
+
+.github-markdown-body .pl-mb {
+  font-weight: bold;
+  color: var(--color-prettylights-syntax-markup-bold);
+}
+
+.github-markdown-body .pl-md {
+  color: var(--color-prettylights-syntax-markup-deleted-text);
+  background-color: var(--color-prettylights-syntax-markup-deleted-bg);
+}
+
+.github-markdown-body .pl-mi1 {
+  color: var(--color-prettylights-syntax-markup-inserted-text);
+  background-color: var(--color-prettylights-syntax-markup-inserted-bg);
+}
+
+.github-markdown-body .pl-mc {
+  color: var(--color-prettylights-syntax-markup-changed-text);
+  background-color: var(--color-prettylights-syntax-markup-changed-bg);
+}
+
+.github-markdown-body .pl-mi2 {
+  color: var(--color-prettylights-syntax-markup-ignored-text);
+  background-color: var(--color-prettylights-syntax-markup-ignored-bg);
+}
+
+.github-markdown-body .pl-mdr {
+  font-weight: bold;
+  color: var(--color-prettylights-syntax-meta-diff-range);
+}
+
+.github-markdown-body .pl-ba {
+  color: var(--color-prettylights-syntax-brackethighlighter-angle);
+}
+
+.github-markdown-body .pl-sg {
+  color: var(--color-prettylights-syntax-sublimelinter-gutter-mark);
+}
+
+.github-markdown-body .pl-corl {
+  text-decoration: underline;
+  color: var(--color-prettylights-syntax-constant-other-reference-link);
+}
+
+.github-markdown-body g-emoji {
+  display: inline-block;
+  min-width: 1ch;
+  font-family: "Apple Color Emoji","Segoe UI Emoji","Segoe UI Symbol";
+  font-size: 1em;
+  font-style: normal !important;
+  font-weight: var(--base-text-weight-normal, 400);
+  line-height: 1;
+  vertical-align: -0.075em;
+}
+
+.github-markdown-body g-emoji img {
+  width: 1em;
+  height: 1em;
+}
+
+.github-markdown-body .task-list-item {
+  list-style-type: none;
+}
+
+.github-markdown-body .task-list-item label {
+  font-weight: var(--base-text-weight-normal, 400);
+}
+
+.github-markdown-body .task-list-item.enabled label {
+  cursor: pointer;
+}
+
+.github-markdown-body .task-list-item+.task-list-item {
+  margin-top: 4px;
+}
+
+.github-markdown-body .task-list-item .handle {
+  display: none;
+}
+
+.github-markdown-body .task-list-item-checkbox {
+  margin: 0 .2em .25em -1.4em;
+  vertical-align: middle;
+}
+
+.github-markdown-body .contains-task-list:dir(rtl) .task-list-item-checkbox {
+  margin: 0 -1.6em .25em .2em;
+}
+
+.github-markdown-body .contains-task-list {
+  position: relative;
+}
+
+.github-markdown-body .contains-task-list:hover .task-list-item-convert-container,
+.github-markdown-body .contains-task-list:focus-within .task-list-item-convert-container {
+  display: block;
+  width: auto;
+  height: 24px;
+  overflow: visible;
+  clip: auto;
+}
+
+.github-markdown-body .QueryBuilder .qb-entity {
+  color: var(--color-prettylights-syntax-entity);
+}
+
+.github-markdown-body .QueryBuilder .qb-constant {
+  color: var(--color-prettylights-syntax-constant);
+}
+
+.github-markdown-body ::-webkit-calendar-picker-indicator {
+  filter: invert(50%);
+}
+[data-color-mode=light][data-light-theme=light],
+[data-color-mode=dark][data-dark-theme=light],
+.vscode-body.vscode-light [data-color-mode=auto][data-light-theme=light],
+.vscode-body.vscode-dark [data-color-mode=auto][data-dark-theme=light] {
+  /*light*/
+  color-scheme: light;
+  --color-prettylights-syntax-comment: #6e7781;
+  --color-prettylights-syntax-constant: #0550ae;
+  --color-prettylights-syntax-entity: #6639ba;
+  --color-prettylights-syntax-storage-modifier-import: #24292f;
+  --color-prettylights-syntax-entity-tag: #116329;
+  --color-prettylights-syntax-keyword: #cf222e;
+  --color-prettylights-syntax-string: #0a3069;
+  --color-prettylights-syntax-variable: #953800;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #82071e;
+  --color-prettylights-syntax-invalid-illegal-text: #f6f8fa;
+  --color-prettylights-syntax-invalid-illegal-bg: #82071e;
+  --color-prettylights-syntax-carriage-return-text: #f6f8fa;
+  --color-prettylights-syntax-carriage-return-bg: #cf222e;
+  --color-prettylights-syntax-string-regexp: #116329;
+  --color-prettylights-syntax-markup-list: #3b2300;
+  --color-prettylights-syntax-markup-heading: #0550ae;
+  --color-prettylights-syntax-markup-italic: #24292f;
+  --color-prettylights-syntax-markup-bold: #24292f;
+  --color-prettylights-syntax-markup-deleted-text: #82071e;
+  --color-prettylights-syntax-markup-deleted-bg: #ffebe9;
+  --color-prettylights-syntax-markup-inserted-text: #116329;
+  --color-prettylights-syntax-markup-inserted-bg: #dafbe1;
+  --color-prettylights-syntax-markup-changed-text: #953800;
+  --color-prettylights-syntax-markup-changed-bg: #ffd8b5;
+  --color-prettylights-syntax-markup-ignored-text: #eaeef2;
+  --color-prettylights-syntax-markup-ignored-bg: #0550ae;
+  --color-prettylights-syntax-meta-diff-range: #8250df;
+  --color-prettylights-syntax-brackethighlighter-angle: #57606a;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #8c959f;
+  --color-prettylights-syntax-constant-other-reference-link: #0a3069;
+  --color-fg-default: #1F2328;
+  --color-fg-muted: #656d76;
+  --color-fg-subtle: #6e7781;
+  --color-canvas-default: #ffffff;
+  --color-canvas-subtle: #f6f8fa;
+  --color-border-default: #d0d7de;
+  --color-border-muted: hsla(210,18%,87%,1);
+  --color-neutral-muted: rgba(175,184,193,0.2);
+  --color-accent-fg: #0969da;
+  --color-accent-emphasis: #0969da;
+  --color-attention-subtle: #fff8c5;
+  --color-danger-fg: #d1242f;
+  --color-prettylights-syntax-comment: #6e7781;
+  --color-prettylights-syntax-constant: #0550ae;
+  --color-prettylights-syntax-entity: #6639ba;
+  --color-prettylights-syntax-storage-modifier-import: #24292f;
+  --color-prettylights-syntax-entity-tag: #116329;
+  --color-prettylights-syntax-keyword: #cf222e;
+  --color-prettylights-syntax-string: #0a3069;
+  --color-prettylights-syntax-variable: #953800;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #82071e;
+  --color-prettylights-syntax-invalid-illegal-text: #f6f8fa;
+  --color-prettylights-syntax-invalid-illegal-bg: #82071e;
+  --color-prettylights-syntax-carriage-return-text: #f6f8fa;
+  --color-prettylights-syntax-carriage-return-bg: #cf222e;
+  --color-prettylights-syntax-string-regexp: #116329;
+  --color-prettylights-syntax-markup-list: #3b2300;
+  --color-prettylights-syntax-markup-heading: #0550ae;
+  --color-prettylights-syntax-markup-italic: #24292f;
+  --color-prettylights-syntax-markup-bold: #24292f;
+  --color-prettylights-syntax-markup-deleted-text: #82071e;
+  --color-prettylights-syntax-markup-deleted-bg: #ffebe9;
+  --color-prettylights-syntax-markup-inserted-text: #116329;
+  --color-prettylights-syntax-markup-inserted-bg: #dafbe1;
+  --color-prettylights-syntax-markup-changed-text: #953800;
+  --color-prettylights-syntax-markup-changed-bg: #ffd8b5;
+  --color-prettylights-syntax-markup-ignored-text: #eaeef2;
+  --color-prettylights-syntax-markup-ignored-bg: #0550ae;
+  --color-prettylights-syntax-meta-diff-range: #8250df;
+  --color-prettylights-syntax-brackethighlighter-angle: #57606a;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #8c959f;
+  --color-prettylights-syntax-constant-other-reference-link: #0a3069;
+  --color-fg-default: #1F2328;
+  --color-fg-muted: #656d76;
+  --color-fg-subtle: #6e7781;
+  --color-canvas-default: #ffffff;
+  --color-canvas-subtle: #f6f8fa;
+  --color-border-default: #d0d7de;
+  --color-border-muted: hsla(210,18%,87%,1);
+  --color-neutral-muted: rgba(175,184,193,0.2);
+  --color-accent-fg: #0969da;
+  --color-accent-emphasis: #0969da;
+  --color-attention-subtle: #fff8c5;
+  --color-danger-fg: #d1242f;
+  --color-prettylights-syntax-comment: #6e7781;
+  --color-prettylights-syntax-constant: #0550ae;
+  --color-prettylights-syntax-entity: #6639ba;
+  --color-prettylights-syntax-storage-modifier-import: #24292f;
+  --color-prettylights-syntax-entity-tag: #116329;
+  --color-prettylights-syntax-keyword: #cf222e;
+  --color-prettylights-syntax-string: #0a3069;
+  --color-prettylights-syntax-variable: #953800;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #82071e;
+  --color-prettylights-syntax-invalid-illegal-text: #f6f8fa;
+  --color-prettylights-syntax-invalid-illegal-bg: #82071e;
+  --color-prettylights-syntax-carriage-return-text: #f6f8fa;
+  --color-prettylights-syntax-carriage-return-bg: #cf222e;
+  --color-prettylights-syntax-string-regexp: #116329;
+  --color-prettylights-syntax-markup-list: #3b2300;
+  --color-prettylights-syntax-markup-heading: #0550ae;
+  --color-prettylights-syntax-markup-italic: #24292f;
+  --color-prettylights-syntax-markup-bold: #24292f;
+  --color-prettylights-syntax-markup-deleted-text: #82071e;
+  --color-prettylights-syntax-markup-deleted-bg: #ffebe9;
+  --color-prettylights-syntax-markup-inserted-text: #116329;
+  --color-prettylights-syntax-markup-inserted-bg: #dafbe1;
+  --color-prettylights-syntax-markup-changed-text: #953800;
+  --color-prettylights-syntax-markup-changed-bg: #ffd8b5;
+  --color-prettylights-syntax-markup-ignored-text: #eaeef2;
+  --color-prettylights-syntax-markup-ignored-bg: #0550ae;
+  --color-prettylights-syntax-meta-diff-range: #8250df;
+  --color-prettylights-syntax-brackethighlighter-angle: #57606a;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #8c959f;
+  --color-prettylights-syntax-constant-other-reference-link: #0a3069;
+  --color-fg-default: #1F2328;
+  --color-fg-muted: #656d76;
+  --color-fg-subtle: #6e7781;
+  --color-canvas-default: #ffffff;
+  --color-canvas-subtle: #f6f8fa;
+  --color-border-default: #d0d7de;
+  --color-border-muted: hsla(210,18%,87%,1);
+  --color-neutral-muted: rgba(175,184,193,0.2);
+  --color-accent-fg: #0969da;
+  --color-accent-emphasis: #0969da;
+  --color-attention-subtle: #fff8c5;
+  --color-danger-fg: #d1242f;
+}
+@media (prefers-color-scheme: light) {
+  [data-color-mode='system'][data-light-theme=light] {
+  /*light*/
+  color-scheme: light;
+  --color-prettylights-syntax-comment: #6e7781;
+  --color-prettylights-syntax-constant: #0550ae;
+  --color-prettylights-syntax-entity: #6639ba;
+  --color-prettylights-syntax-storage-modifier-import: #24292f;
+  --color-prettylights-syntax-entity-tag: #116329;
+  --color-prettylights-syntax-keyword: #cf222e;
+  --color-prettylights-syntax-string: #0a3069;
+  --color-prettylights-syntax-variable: #953800;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #82071e;
+  --color-prettylights-syntax-invalid-illegal-text: #f6f8fa;
+  --color-prettylights-syntax-invalid-illegal-bg: #82071e;
+  --color-prettylights-syntax-carriage-return-text: #f6f8fa;
+  --color-prettylights-syntax-carriage-return-bg: #cf222e;
+  --color-prettylights-syntax-string-regexp: #116329;
+  --color-prettylights-syntax-markup-list: #3b2300;
+  --color-prettylights-syntax-markup-heading: #0550ae;
+  --color-prettylights-syntax-markup-italic: #24292f;
+  --color-prettylights-syntax-markup-bold: #24292f;
+  --color-prettylights-syntax-markup-deleted-text: #82071e;
+  --color-prettylights-syntax-markup-deleted-bg: #ffebe9;
+  --color-prettylights-syntax-markup-inserted-text: #116329;
+  --color-prettylights-syntax-markup-inserted-bg: #dafbe1;
+  --color-prettylights-syntax-markup-changed-text: #953800;
+  --color-prettylights-syntax-markup-changed-bg: #ffd8b5;
+  --color-prettylights-syntax-markup-ignored-text: #eaeef2;
+  --color-prettylights-syntax-markup-ignored-bg: #0550ae;
+  --color-prettylights-syntax-meta-diff-range: #8250df;
+  --color-prettylights-syntax-brackethighlighter-angle: #57606a;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #8c959f;
+  --color-prettylights-syntax-constant-other-reference-link: #0a3069;
+  --color-fg-default: #1F2328;
+  --color-fg-muted: #656d76;
+  --color-fg-subtle: #6e7781;
+  --color-canvas-default: #ffffff;
+  --color-canvas-subtle: #f6f8fa;
+  --color-border-default: #d0d7de;
+  --color-border-muted: hsla(210,18%,87%,1);
+  --color-neutral-muted: rgba(175,184,193,0.2);
+  --color-accent-fg: #0969da;
+  --color-accent-emphasis: #0969da;
+  --color-attention-subtle: #fff8c5;
+  --color-danger-fg: #d1242f;
+  --color-prettylights-syntax-comment: #6e7781;
+  --color-prettylights-syntax-constant: #0550ae;
+  --color-prettylights-syntax-entity: #6639ba;
+  --color-prettylights-syntax-storage-modifier-import: #24292f;
+  --color-prettylights-syntax-entity-tag: #116329;
+  --color-prettylights-syntax-keyword: #cf222e;
+  --color-prettylights-syntax-string: #0a3069;
+  --color-prettylights-syntax-variable: #953800;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #82071e;
+  --color-prettylights-syntax-invalid-illegal-text: #f6f8fa;
+  --color-prettylights-syntax-invalid-illegal-bg: #82071e;
+  --color-prettylights-syntax-carriage-return-text: #f6f8fa;
+  --color-prettylights-syntax-carriage-return-bg: #cf222e;
+  --color-prettylights-syntax-string-regexp: #116329;
+  --color-prettylights-syntax-markup-list: #3b2300;
+  --color-prettylights-syntax-markup-heading: #0550ae;
+  --color-prettylights-syntax-markup-italic: #24292f;
+  --color-prettylights-syntax-markup-bold: #24292f;
+  --color-prettylights-syntax-markup-deleted-text: #82071e;
+  --color-prettylights-syntax-markup-deleted-bg: #ffebe9;
+  --color-prettylights-syntax-markup-inserted-text: #116329;
+  --color-prettylights-syntax-markup-inserted-bg: #dafbe1;
+  --color-prettylights-syntax-markup-changed-text: #953800;
+  --color-prettylights-syntax-markup-changed-bg: #ffd8b5;
+  --color-prettylights-syntax-markup-ignored-text: #eaeef2;
+  --color-prettylights-syntax-markup-ignored-bg: #0550ae;
+  --color-prettylights-syntax-meta-diff-range: #8250df;
+  --color-prettylights-syntax-brackethighlighter-angle: #57606a;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #8c959f;
+  --color-prettylights-syntax-constant-other-reference-link: #0a3069;
+  --color-fg-default: #1F2328;
+  --color-fg-muted: #656d76;
+  --color-fg-subtle: #6e7781;
+  --color-canvas-default: #ffffff;
+  --color-canvas-subtle: #f6f8fa;
+  --color-border-default: #d0d7de;
+  --color-border-muted: hsla(210,18%,87%,1);
+  --color-neutral-muted: rgba(175,184,193,0.2);
+  --color-accent-fg: #0969da;
+  --color-accent-emphasis: #0969da;
+  --color-attention-subtle: #fff8c5;
+  --color-danger-fg: #d1242f;
+  --color-prettylights-syntax-comment: #6e7781;
+  --color-prettylights-syntax-constant: #0550ae;
+  --color-prettylights-syntax-entity: #6639ba;
+  --color-prettylights-syntax-storage-modifier-import: #24292f;
+  --color-prettylights-syntax-entity-tag: #116329;
+  --color-prettylights-syntax-keyword: #cf222e;
+  --color-prettylights-syntax-string: #0a3069;
+  --color-prettylights-syntax-variable: #953800;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #82071e;
+  --color-prettylights-syntax-invalid-illegal-text: #f6f8fa;
+  --color-prettylights-syntax-invalid-illegal-bg: #82071e;
+  --color-prettylights-syntax-carriage-return-text: #f6f8fa;
+  --color-prettylights-syntax-carriage-return-bg: #cf222e;
+  --color-prettylights-syntax-string-regexp: #116329;
+  --color-prettylights-syntax-markup-list: #3b2300;
+  --color-prettylights-syntax-markup-heading: #0550ae;
+  --color-prettylights-syntax-markup-italic: #24292f;
+  --color-prettylights-syntax-markup-bold: #24292f;
+  --color-prettylights-syntax-markup-deleted-text: #82071e;
+  --color-prettylights-syntax-markup-deleted-bg: #ffebe9;
+  --color-prettylights-syntax-markup-inserted-text: #116329;
+  --color-prettylights-syntax-markup-inserted-bg: #dafbe1;
+  --color-prettylights-syntax-markup-changed-text: #953800;
+  --color-prettylights-syntax-markup-changed-bg: #ffd8b5;
+  --color-prettylights-syntax-markup-ignored-text: #eaeef2;
+  --color-prettylights-syntax-markup-ignored-bg: #0550ae;
+  --color-prettylights-syntax-meta-diff-range: #8250df;
+  --color-prettylights-syntax-brackethighlighter-angle: #57606a;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #8c959f;
+  --color-prettylights-syntax-constant-other-reference-link: #0a3069;
+  --color-fg-default: #1F2328;
+  --color-fg-muted: #656d76;
+  --color-fg-subtle: #6e7781;
+  --color-canvas-default: #ffffff;
+  --color-canvas-subtle: #f6f8fa;
+  --color-border-default: #d0d7de;
+  --color-border-muted: hsla(210,18%,87%,1);
+  --color-neutral-muted: rgba(175,184,193,0.2);
+  --color-accent-fg: #0969da;
+  --color-accent-emphasis: #0969da;
+  --color-attention-subtle: #fff8c5;
+  --color-danger-fg: #d1242f;
+}
+}
+
+@media (prefers-color-scheme: dark) {
+  [data-color-mode='system'][data-dark-theme=light] {
+  /*light*/
+  color-scheme: light;
+  --color-prettylights-syntax-comment: #6e7781;
+  --color-prettylights-syntax-constant: #0550ae;
+  --color-prettylights-syntax-entity: #6639ba;
+  --color-prettylights-syntax-storage-modifier-import: #24292f;
+  --color-prettylights-syntax-entity-tag: #116329;
+  --color-prettylights-syntax-keyword: #cf222e;
+  --color-prettylights-syntax-string: #0a3069;
+  --color-prettylights-syntax-variable: #953800;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #82071e;
+  --color-prettylights-syntax-invalid-illegal-text: #f6f8fa;
+  --color-prettylights-syntax-invalid-illegal-bg: #82071e;
+  --color-prettylights-syntax-carriage-return-text: #f6f8fa;
+  --color-prettylights-syntax-carriage-return-bg: #cf222e;
+  --color-prettylights-syntax-string-regexp: #116329;
+  --color-prettylights-syntax-markup-list: #3b2300;
+  --color-prettylights-syntax-markup-heading: #0550ae;
+  --color-prettylights-syntax-markup-italic: #24292f;
+  --color-prettylights-syntax-markup-bold: #24292f;
+  --color-prettylights-syntax-markup-deleted-text: #82071e;
+  --color-prettylights-syntax-markup-deleted-bg: #ffebe9;
+  --color-prettylights-syntax-markup-inserted-text: #116329;
+  --color-prettylights-syntax-markup-inserted-bg: #dafbe1;
+  --color-prettylights-syntax-markup-changed-text: #953800;
+  --color-prettylights-syntax-markup-changed-bg: #ffd8b5;
+  --color-prettylights-syntax-markup-ignored-text: #eaeef2;
+  --color-prettylights-syntax-markup-ignored-bg: #0550ae;
+  --color-prettylights-syntax-meta-diff-range: #8250df;
+  --color-prettylights-syntax-brackethighlighter-angle: #57606a;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #8c959f;
+  --color-prettylights-syntax-constant-other-reference-link: #0a3069;
+  --color-fg-default: #1F2328;
+  --color-fg-muted: #656d76;
+  --color-fg-subtle: #6e7781;
+  --color-canvas-default: #ffffff;
+  --color-canvas-subtle: #f6f8fa;
+  --color-border-default: #d0d7de;
+  --color-border-muted: hsla(210,18%,87%,1);
+  --color-neutral-muted: rgba(175,184,193,0.2);
+  --color-accent-fg: #0969da;
+  --color-accent-emphasis: #0969da;
+  --color-attention-subtle: #fff8c5;
+  --color-danger-fg: #d1242f;
+  --color-prettylights-syntax-comment: #6e7781;
+  --color-prettylights-syntax-constant: #0550ae;
+  --color-prettylights-syntax-entity: #6639ba;
+  --color-prettylights-syntax-storage-modifier-import: #24292f;
+  --color-prettylights-syntax-entity-tag: #116329;
+  --color-prettylights-syntax-keyword: #cf222e;
+  --color-prettylights-syntax-string: #0a3069;
+  --color-prettylights-syntax-variable: #953800;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #82071e;
+  --color-prettylights-syntax-invalid-illegal-text: #f6f8fa;
+  --color-prettylights-syntax-invalid-illegal-bg: #82071e;
+  --color-prettylights-syntax-carriage-return-text: #f6f8fa;
+  --color-prettylights-syntax-carriage-return-bg: #cf222e;
+  --color-prettylights-syntax-string-regexp: #116329;
+  --color-prettylights-syntax-markup-list: #3b2300;
+  --color-prettylights-syntax-markup-heading: #0550ae;
+  --color-prettylights-syntax-markup-italic: #24292f;
+  --color-prettylights-syntax-markup-bold: #24292f;
+  --color-prettylights-syntax-markup-deleted-text: #82071e;
+  --color-prettylights-syntax-markup-deleted-bg: #ffebe9;
+  --color-prettylights-syntax-markup-inserted-text: #116329;
+  --color-prettylights-syntax-markup-inserted-bg: #dafbe1;
+  --color-prettylights-syntax-markup-changed-text: #953800;
+  --color-prettylights-syntax-markup-changed-bg: #ffd8b5;
+  --color-prettylights-syntax-markup-ignored-text: #eaeef2;
+  --color-prettylights-syntax-markup-ignored-bg: #0550ae;
+  --color-prettylights-syntax-meta-diff-range: #8250df;
+  --color-prettylights-syntax-brackethighlighter-angle: #57606a;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #8c959f;
+  --color-prettylights-syntax-constant-other-reference-link: #0a3069;
+  --color-fg-default: #1F2328;
+  --color-fg-muted: #656d76;
+  --color-fg-subtle: #6e7781;
+  --color-canvas-default: #ffffff;
+  --color-canvas-subtle: #f6f8fa;
+  --color-border-default: #d0d7de;
+  --color-border-muted: hsla(210,18%,87%,1);
+  --color-neutral-muted: rgba(175,184,193,0.2);
+  --color-accent-fg: #0969da;
+  --color-accent-emphasis: #0969da;
+  --color-attention-subtle: #fff8c5;
+  --color-danger-fg: #d1242f;
+  --color-prettylights-syntax-comment: #6e7781;
+  --color-prettylights-syntax-constant: #0550ae;
+  --color-prettylights-syntax-entity: #6639ba;
+  --color-prettylights-syntax-storage-modifier-import: #24292f;
+  --color-prettylights-syntax-entity-tag: #116329;
+  --color-prettylights-syntax-keyword: #cf222e;
+  --color-prettylights-syntax-string: #0a3069;
+  --color-prettylights-syntax-variable: #953800;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #82071e;
+  --color-prettylights-syntax-invalid-illegal-text: #f6f8fa;
+  --color-prettylights-syntax-invalid-illegal-bg: #82071e;
+  --color-prettylights-syntax-carriage-return-text: #f6f8fa;
+  --color-prettylights-syntax-carriage-return-bg: #cf222e;
+  --color-prettylights-syntax-string-regexp: #116329;
+  --color-prettylights-syntax-markup-list: #3b2300;
+  --color-prettylights-syntax-markup-heading: #0550ae;
+  --color-prettylights-syntax-markup-italic: #24292f;
+  --color-prettylights-syntax-markup-bold: #24292f;
+  --color-prettylights-syntax-markup-deleted-text: #82071e;
+  --color-prettylights-syntax-markup-deleted-bg: #ffebe9;
+  --color-prettylights-syntax-markup-inserted-text: #116329;
+  --color-prettylights-syntax-markup-inserted-bg: #dafbe1;
+  --color-prettylights-syntax-markup-changed-text: #953800;
+  --color-prettylights-syntax-markup-changed-bg: #ffd8b5;
+  --color-prettylights-syntax-markup-ignored-text: #eaeef2;
+  --color-prettylights-syntax-markup-ignored-bg: #0550ae;
+  --color-prettylights-syntax-meta-diff-range: #8250df;
+  --color-prettylights-syntax-brackethighlighter-angle: #57606a;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #8c959f;
+  --color-prettylights-syntax-constant-other-reference-link: #0a3069;
+  --color-fg-default: #1F2328;
+  --color-fg-muted: #656d76;
+  --color-fg-subtle: #6e7781;
+  --color-canvas-default: #ffffff;
+  --color-canvas-subtle: #f6f8fa;
+  --color-border-default: #d0d7de;
+  --color-border-muted: hsla(210,18%,87%,1);
+  --color-neutral-muted: rgba(175,184,193,0.2);
+  --color-accent-fg: #0969da;
+  --color-accent-emphasis: #0969da;
+  --color-attention-subtle: #fff8c5;
+  --color-danger-fg: #d1242f;
+}
+}
+
+[data-color-mode=light][data-light-theme=light_colorblind],
+[data-color-mode=dark][data-dark-theme=light_colorblind],
+.vscode-body.vscode-light [data-color-mode=auto][data-light-theme=light_colorblind],
+.vscode-body.vscode-dark [data-color-mode=auto][data-dark-theme=light_colorblind] {
+  /*light_colorblind*/
+  color-scheme: light;
+  --color-prettylights-syntax-comment: #6e7781;
+  --color-prettylights-syntax-constant: #0550ae;
+  --color-prettylights-syntax-entity: #6639ba;
+  --color-prettylights-syntax-storage-modifier-import: #24292f;
+  --color-prettylights-syntax-entity-tag: #0550ae;
+  --color-prettylights-syntax-keyword: #b35900;
+  --color-prettylights-syntax-string: #0a3069;
+  --color-prettylights-syntax-variable: #8a4600;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #6f3800;
+  --color-prettylights-syntax-invalid-illegal-text: #f6f8fa;
+  --color-prettylights-syntax-invalid-illegal-bg: #6f3800;
+  --color-prettylights-syntax-carriage-return-text: #f6f8fa;
+  --color-prettylights-syntax-carriage-return-bg: #b35900;
+  --color-prettylights-syntax-string-regexp: #0550ae;
+  --color-prettylights-syntax-markup-list: #3b2300;
+  --color-prettylights-syntax-markup-heading: #0550ae;
+  --color-prettylights-syntax-markup-italic: #24292f;
+  --color-prettylights-syntax-markup-bold: #24292f;
+  --color-prettylights-syntax-markup-deleted-text: #6f3800;
+  --color-prettylights-syntax-markup-deleted-bg: #fff5e8;
+  --color-prettylights-syntax-markup-inserted-text: #0550ae;
+  --color-prettylights-syntax-markup-inserted-bg: #ddf4ff;
+  --color-prettylights-syntax-markup-changed-text: #8a4600;
+  --color-prettylights-syntax-markup-changed-bg: #ffddb0;
+  --color-prettylights-syntax-markup-ignored-text: #eaeef2;
+  --color-prettylights-syntax-markup-ignored-bg: #0550ae;
+  --color-prettylights-syntax-meta-diff-range: #8250df;
+  --color-prettylights-syntax-brackethighlighter-angle: #57606a;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #8c959f;
+  --color-prettylights-syntax-constant-other-reference-link: #0a3069;
+  --color-fg-default: #24292f;
+  --color-fg-muted: #57606a;
+  --color-fg-subtle: #6e7781;
+  --color-canvas-default: #ffffff;
+  --color-canvas-subtle: #f6f8fa;
+  --color-border-default: #d0d7de;
+  --color-border-muted: hsla(210,18%,87%,1);
+  --color-neutral-muted: rgba(175,184,193,0.2);
+  --color-accent-fg: #0969da;
+  --color-accent-emphasis: #0969da;
+  --color-attention-subtle: #fff8c5;
+  --color-danger-fg: #b35900;
+}
+@media (prefers-color-scheme: light) {
+  [data-color-mode='system'][data-light-theme=light_colorblind] {
+  /*light_colorblind*/
+  color-scheme: light;
+  --color-prettylights-syntax-comment: #6e7781;
+  --color-prettylights-syntax-constant: #0550ae;
+  --color-prettylights-syntax-entity: #6639ba;
+  --color-prettylights-syntax-storage-modifier-import: #24292f;
+  --color-prettylights-syntax-entity-tag: #0550ae;
+  --color-prettylights-syntax-keyword: #b35900;
+  --color-prettylights-syntax-string: #0a3069;
+  --color-prettylights-syntax-variable: #8a4600;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #6f3800;
+  --color-prettylights-syntax-invalid-illegal-text: #f6f8fa;
+  --color-prettylights-syntax-invalid-illegal-bg: #6f3800;
+  --color-prettylights-syntax-carriage-return-text: #f6f8fa;
+  --color-prettylights-syntax-carriage-return-bg: #b35900;
+  --color-prettylights-syntax-string-regexp: #0550ae;
+  --color-prettylights-syntax-markup-list: #3b2300;
+  --color-prettylights-syntax-markup-heading: #0550ae;
+  --color-prettylights-syntax-markup-italic: #24292f;
+  --color-prettylights-syntax-markup-bold: #24292f;
+  --color-prettylights-syntax-markup-deleted-text: #6f3800;
+  --color-prettylights-syntax-markup-deleted-bg: #fff5e8;
+  --color-prettylights-syntax-markup-inserted-text: #0550ae;
+  --color-prettylights-syntax-markup-inserted-bg: #ddf4ff;
+  --color-prettylights-syntax-markup-changed-text: #8a4600;
+  --color-prettylights-syntax-markup-changed-bg: #ffddb0;
+  --color-prettylights-syntax-markup-ignored-text: #eaeef2;
+  --color-prettylights-syntax-markup-ignored-bg: #0550ae;
+  --color-prettylights-syntax-meta-diff-range: #8250df;
+  --color-prettylights-syntax-brackethighlighter-angle: #57606a;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #8c959f;
+  --color-prettylights-syntax-constant-other-reference-link: #0a3069;
+  --color-fg-default: #24292f;
+  --color-fg-muted: #57606a;
+  --color-fg-subtle: #6e7781;
+  --color-canvas-default: #ffffff;
+  --color-canvas-subtle: #f6f8fa;
+  --color-border-default: #d0d7de;
+  --color-border-muted: hsla(210,18%,87%,1);
+  --color-neutral-muted: rgba(175,184,193,0.2);
+  --color-accent-fg: #0969da;
+  --color-accent-emphasis: #0969da;
+  --color-attention-subtle: #fff8c5;
+  --color-danger-fg: #b35900;
+}
+}
+
+@media (prefers-color-scheme: dark) {
+  [data-color-mode='system'][data-dark-theme=light_colorblind] {
+  /*light_colorblind*/
+  color-scheme: light;
+  --color-prettylights-syntax-comment: #6e7781;
+  --color-prettylights-syntax-constant: #0550ae;
+  --color-prettylights-syntax-entity: #6639ba;
+  --color-prettylights-syntax-storage-modifier-import: #24292f;
+  --color-prettylights-syntax-entity-tag: #0550ae;
+  --color-prettylights-syntax-keyword: #b35900;
+  --color-prettylights-syntax-string: #0a3069;
+  --color-prettylights-syntax-variable: #8a4600;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #6f3800;
+  --color-prettylights-syntax-invalid-illegal-text: #f6f8fa;
+  --color-prettylights-syntax-invalid-illegal-bg: #6f3800;
+  --color-prettylights-syntax-carriage-return-text: #f6f8fa;
+  --color-prettylights-syntax-carriage-return-bg: #b35900;
+  --color-prettylights-syntax-string-regexp: #0550ae;
+  --color-prettylights-syntax-markup-list: #3b2300;
+  --color-prettylights-syntax-markup-heading: #0550ae;
+  --color-prettylights-syntax-markup-italic: #24292f;
+  --color-prettylights-syntax-markup-bold: #24292f;
+  --color-prettylights-syntax-markup-deleted-text: #6f3800;
+  --color-prettylights-syntax-markup-deleted-bg: #fff5e8;
+  --color-prettylights-syntax-markup-inserted-text: #0550ae;
+  --color-prettylights-syntax-markup-inserted-bg: #ddf4ff;
+  --color-prettylights-syntax-markup-changed-text: #8a4600;
+  --color-prettylights-syntax-markup-changed-bg: #ffddb0;
+  --color-prettylights-syntax-markup-ignored-text: #eaeef2;
+  --color-prettylights-syntax-markup-ignored-bg: #0550ae;
+  --color-prettylights-syntax-meta-diff-range: #8250df;
+  --color-prettylights-syntax-brackethighlighter-angle: #57606a;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #8c959f;
+  --color-prettylights-syntax-constant-other-reference-link: #0a3069;
+  --color-fg-default: #24292f;
+  --color-fg-muted: #57606a;
+  --color-fg-subtle: #6e7781;
+  --color-canvas-default: #ffffff;
+  --color-canvas-subtle: #f6f8fa;
+  --color-border-default: #d0d7de;
+  --color-border-muted: hsla(210,18%,87%,1);
+  --color-neutral-muted: rgba(175,184,193,0.2);
+  --color-accent-fg: #0969da;
+  --color-accent-emphasis: #0969da;
+  --color-attention-subtle: #fff8c5;
+  --color-danger-fg: #b35900;
+}
+}
+
+[data-color-mode=light][data-light-theme=light_tritanopia],
+[data-color-mode=dark][data-dark-theme=light_tritanopia],
+.vscode-body.vscode-light [data-color-mode=auto][data-light-theme=light_tritanopia],
+.vscode-body.vscode-dark [data-color-mode=auto][data-dark-theme=light_tritanopia] {
+  /*light_tritanopia*/
+  color-scheme: light;
+  --color-prettylights-syntax-comment: #6e7781;
+  --color-prettylights-syntax-constant: #0550ae;
+  --color-prettylights-syntax-entity: #6639ba;
+  --color-prettylights-syntax-storage-modifier-import: #24292f;
+  --color-prettylights-syntax-entity-tag: #0550ae;
+  --color-prettylights-syntax-keyword: #cf222e;
+  --color-prettylights-syntax-string: #0a3069;
+  --color-prettylights-syntax-variable: #a40e26;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #82071e;
+  --color-prettylights-syntax-invalid-illegal-text: #f6f8fa;
+  --color-prettylights-syntax-invalid-illegal-bg: #82071e;
+  --color-prettylights-syntax-carriage-return-text: #f6f8fa;
+  --color-prettylights-syntax-carriage-return-bg: #cf222e;
+  --color-prettylights-syntax-string-regexp: #0550ae;
+  --color-prettylights-syntax-markup-list: #3b2300;
+  --color-prettylights-syntax-markup-heading: #0550ae;
+  --color-prettylights-syntax-markup-italic: #24292f;
+  --color-prettylights-syntax-markup-bold: #24292f;
+  --color-prettylights-syntax-markup-deleted-text: #82071e;
+  --color-prettylights-syntax-markup-deleted-bg: #ffebe9;
+  --color-prettylights-syntax-markup-inserted-text: #0550ae;
+  --color-prettylights-syntax-markup-inserted-bg: #ddf4ff;
+  --color-prettylights-syntax-markup-changed-text: #a40e26;
+  --color-prettylights-syntax-markup-changed-bg: #ffcecb;
+  --color-prettylights-syntax-markup-ignored-text: #eaeef2;
+  --color-prettylights-syntax-markup-ignored-bg: #0550ae;
+  --color-prettylights-syntax-meta-diff-range: #8250df;
+  --color-prettylights-syntax-brackethighlighter-angle: #57606a;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #8c959f;
+  --color-prettylights-syntax-constant-other-reference-link: #0a3069;
+  --color-fg-default: #24292f;
+  --color-fg-muted: #57606a;
+  --color-fg-subtle: #6e7781;
+  --color-canvas-default: #ffffff;
+  --color-canvas-subtle: #f6f8fa;
+  --color-border-default: #d0d7de;
+  --color-border-muted: hsla(210,18%,87%,1);
+  --color-neutral-muted: rgba(175,184,193,0.2);
+  --color-accent-fg: #0969da;
+  --color-accent-emphasis: #0969da;
+  --color-attention-subtle: #fff8c5;
+  --color-danger-fg: #cf222e;
+}
+@media (prefers-color-scheme: light) {
+  [data-color-mode='system'][data-light-theme=light_tritanopia] {
+  /*light_tritanopia*/
+  color-scheme: light;
+  --color-prettylights-syntax-comment: #6e7781;
+  --color-prettylights-syntax-constant: #0550ae;
+  --color-prettylights-syntax-entity: #6639ba;
+  --color-prettylights-syntax-storage-modifier-import: #24292f;
+  --color-prettylights-syntax-entity-tag: #0550ae;
+  --color-prettylights-syntax-keyword: #cf222e;
+  --color-prettylights-syntax-string: #0a3069;
+  --color-prettylights-syntax-variable: #a40e26;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #82071e;
+  --color-prettylights-syntax-invalid-illegal-text: #f6f8fa;
+  --color-prettylights-syntax-invalid-illegal-bg: #82071e;
+  --color-prettylights-syntax-carriage-return-text: #f6f8fa;
+  --color-prettylights-syntax-carriage-return-bg: #cf222e;
+  --color-prettylights-syntax-string-regexp: #0550ae;
+  --color-prettylights-syntax-markup-list: #3b2300;
+  --color-prettylights-syntax-markup-heading: #0550ae;
+  --color-prettylights-syntax-markup-italic: #24292f;
+  --color-prettylights-syntax-markup-bold: #24292f;
+  --color-prettylights-syntax-markup-deleted-text: #82071e;
+  --color-prettylights-syntax-markup-deleted-bg: #ffebe9;
+  --color-prettylights-syntax-markup-inserted-text: #0550ae;
+  --color-prettylights-syntax-markup-inserted-bg: #ddf4ff;
+  --color-prettylights-syntax-markup-changed-text: #a40e26;
+  --color-prettylights-syntax-markup-changed-bg: #ffcecb;
+  --color-prettylights-syntax-markup-ignored-text: #eaeef2;
+  --color-prettylights-syntax-markup-ignored-bg: #0550ae;
+  --color-prettylights-syntax-meta-diff-range: #8250df;
+  --color-prettylights-syntax-brackethighlighter-angle: #57606a;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #8c959f;
+  --color-prettylights-syntax-constant-other-reference-link: #0a3069;
+  --color-fg-default: #24292f;
+  --color-fg-muted: #57606a;
+  --color-fg-subtle: #6e7781;
+  --color-canvas-default: #ffffff;
+  --color-canvas-subtle: #f6f8fa;
+  --color-border-default: #d0d7de;
+  --color-border-muted: hsla(210,18%,87%,1);
+  --color-neutral-muted: rgba(175,184,193,0.2);
+  --color-accent-fg: #0969da;
+  --color-accent-emphasis: #0969da;
+  --color-attention-subtle: #fff8c5;
+  --color-danger-fg: #cf222e;
+}
+}
+
+@media (prefers-color-scheme: dark) {
+  [data-color-mode='system'][data-dark-theme=light_tritanopia] {
+  /*light_tritanopia*/
+  color-scheme: light;
+  --color-prettylights-syntax-comment: #6e7781;
+  --color-prettylights-syntax-constant: #0550ae;
+  --color-prettylights-syntax-entity: #6639ba;
+  --color-prettylights-syntax-storage-modifier-import: #24292f;
+  --color-prettylights-syntax-entity-tag: #0550ae;
+  --color-prettylights-syntax-keyword: #cf222e;
+  --color-prettylights-syntax-string: #0a3069;
+  --color-prettylights-syntax-variable: #a40e26;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #82071e;
+  --color-prettylights-syntax-invalid-illegal-text: #f6f8fa;
+  --color-prettylights-syntax-invalid-illegal-bg: #82071e;
+  --color-prettylights-syntax-carriage-return-text: #f6f8fa;
+  --color-prettylights-syntax-carriage-return-bg: #cf222e;
+  --color-prettylights-syntax-string-regexp: #0550ae;
+  --color-prettylights-syntax-markup-list: #3b2300;
+  --color-prettylights-syntax-markup-heading: #0550ae;
+  --color-prettylights-syntax-markup-italic: #24292f;
+  --color-prettylights-syntax-markup-bold: #24292f;
+  --color-prettylights-syntax-markup-deleted-text: #82071e;
+  --color-prettylights-syntax-markup-deleted-bg: #ffebe9;
+  --color-prettylights-syntax-markup-inserted-text: #0550ae;
+  --color-prettylights-syntax-markup-inserted-bg: #ddf4ff;
+  --color-prettylights-syntax-markup-changed-text: #a40e26;
+  --color-prettylights-syntax-markup-changed-bg: #ffcecb;
+  --color-prettylights-syntax-markup-ignored-text: #eaeef2;
+  --color-prettylights-syntax-markup-ignored-bg: #0550ae;
+  --color-prettylights-syntax-meta-diff-range: #8250df;
+  --color-prettylights-syntax-brackethighlighter-angle: #57606a;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #8c959f;
+  --color-prettylights-syntax-constant-other-reference-link: #0a3069;
+  --color-fg-default: #24292f;
+  --color-fg-muted: #57606a;
+  --color-fg-subtle: #6e7781;
+  --color-canvas-default: #ffffff;
+  --color-canvas-subtle: #f6f8fa;
+  --color-border-default: #d0d7de;
+  --color-border-muted: hsla(210,18%,87%,1);
+  --color-neutral-muted: rgba(175,184,193,0.2);
+  --color-accent-fg: #0969da;
+  --color-accent-emphasis: #0969da;
+  --color-attention-subtle: #fff8c5;
+  --color-danger-fg: #cf222e;
+}
+}
+
+[data-color-mode=light][data-light-theme=light_high_contrast],
+[data-color-mode=dark][data-dark-theme=light_high_contrast],
+.vscode-body.vscode-light [data-color-mode=auto][data-light-theme=light_high_contrast],
+.vscode-body.vscode-dark [data-color-mode=auto][data-dark-theme=light_high_contrast] {
+  /*light_high_contrast*/
+  color-scheme: light;
+  --color-prettylights-syntax-comment: #66707b;
+  --color-prettylights-syntax-constant: #023b95;
+  --color-prettylights-syntax-entity: #512598;
+  --color-prettylights-syntax-storage-modifier-import: #0e1116;
+  --color-prettylights-syntax-entity-tag: #024c1a;
+  --color-prettylights-syntax-keyword: #a0111f;
+  --color-prettylights-syntax-string: #032563;
+  --color-prettylights-syntax-variable: #702c00;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #6e011a;
+  --color-prettylights-syntax-invalid-illegal-text: #ffffff;
+  --color-prettylights-syntax-invalid-illegal-bg: #6e011a;
+  --color-prettylights-syntax-carriage-return-text: #ffffff;
+  --color-prettylights-syntax-carriage-return-bg: #a0111f;
+  --color-prettylights-syntax-string-regexp: #024c1a;
+  --color-prettylights-syntax-markup-list: #2e1800;
+  --color-prettylights-syntax-markup-heading: #023b95;
+  --color-prettylights-syntax-markup-italic: #0e1116;
+  --color-prettylights-syntax-markup-bold: #0e1116;
+  --color-prettylights-syntax-markup-deleted-text: #6e011a;
+  --color-prettylights-syntax-markup-deleted-bg: #fff0ee;
+  --color-prettylights-syntax-markup-inserted-text: #024c1a;
+  --color-prettylights-syntax-markup-inserted-bg: #d2fedb;
+  --color-prettylights-syntax-markup-changed-text: #702c00;
+  --color-prettylights-syntax-markup-changed-bg: #ffc67b;
+  --color-prettylights-syntax-markup-ignored-text: #e7ecf0;
+  --color-prettylights-syntax-markup-ignored-bg: #023b95;
+  --color-prettylights-syntax-meta-diff-range: #622cbc;
+  --color-prettylights-syntax-brackethighlighter-angle: #4b535d;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #88929d;
+  --color-prettylights-syntax-constant-other-reference-link: #032563;
+  --color-fg-default: #0e1116;
+  --color-fg-muted: #0e1116;
+  --color-fg-subtle: #66707b;
+  --color-canvas-default: #ffffff;
+  --color-canvas-subtle: #e7ecf0;
+  --color-border-default: #20252c;
+  --color-border-muted: #88929d;
+  --color-neutral-muted: rgba(172,182,192,0.2);
+  --color-accent-fg: #0349b4;
+  --color-accent-emphasis: #0349b4;
+  --color-attention-subtle: #fcf7be;
+  --color-danger-fg: #d1242f;
+}
+@media (prefers-color-scheme: light) {
+  [data-color-mode='system'][data-light-theme=light_high_contrast] {
+  /*light_high_contrast*/
+  color-scheme: light;
+  --color-prettylights-syntax-comment: #66707b;
+  --color-prettylights-syntax-constant: #023b95;
+  --color-prettylights-syntax-entity: #512598;
+  --color-prettylights-syntax-storage-modifier-import: #0e1116;
+  --color-prettylights-syntax-entity-tag: #024c1a;
+  --color-prettylights-syntax-keyword: #a0111f;
+  --color-prettylights-syntax-string: #032563;
+  --color-prettylights-syntax-variable: #702c00;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #6e011a;
+  --color-prettylights-syntax-invalid-illegal-text: #ffffff;
+  --color-prettylights-syntax-invalid-illegal-bg: #6e011a;
+  --color-prettylights-syntax-carriage-return-text: #ffffff;
+  --color-prettylights-syntax-carriage-return-bg: #a0111f;
+  --color-prettylights-syntax-string-regexp: #024c1a;
+  --color-prettylights-syntax-markup-list: #2e1800;
+  --color-prettylights-syntax-markup-heading: #023b95;
+  --color-prettylights-syntax-markup-italic: #0e1116;
+  --color-prettylights-syntax-markup-bold: #0e1116;
+  --color-prettylights-syntax-markup-deleted-text: #6e011a;
+  --color-prettylights-syntax-markup-deleted-bg: #fff0ee;
+  --color-prettylights-syntax-markup-inserted-text: #024c1a;
+  --color-prettylights-syntax-markup-inserted-bg: #d2fedb;
+  --color-prettylights-syntax-markup-changed-text: #702c00;
+  --color-prettylights-syntax-markup-changed-bg: #ffc67b;
+  --color-prettylights-syntax-markup-ignored-text: #e7ecf0;
+  --color-prettylights-syntax-markup-ignored-bg: #023b95;
+  --color-prettylights-syntax-meta-diff-range: #622cbc;
+  --color-prettylights-syntax-brackethighlighter-angle: #4b535d;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #88929d;
+  --color-prettylights-syntax-constant-other-reference-link: #032563;
+  --color-fg-default: #0e1116;
+  --color-fg-muted: #0e1116;
+  --color-fg-subtle: #66707b;
+  --color-canvas-default: #ffffff;
+  --color-canvas-subtle: #e7ecf0;
+  --color-border-default: #20252c;
+  --color-border-muted: #88929d;
+  --color-neutral-muted: rgba(172,182,192,0.2);
+  --color-accent-fg: #0349b4;
+  --color-accent-emphasis: #0349b4;
+  --color-attention-subtle: #fcf7be;
+  --color-danger-fg: #d1242f;
+}
+}
+
+@media (prefers-color-scheme: dark) {
+  [data-color-mode='system'][data-dark-theme=light_high_contrast] {
+  /*light_high_contrast*/
+  color-scheme: light;
+  --color-prettylights-syntax-comment: #66707b;
+  --color-prettylights-syntax-constant: #023b95;
+  --color-prettylights-syntax-entity: #512598;
+  --color-prettylights-syntax-storage-modifier-import: #0e1116;
+  --color-prettylights-syntax-entity-tag: #024c1a;
+  --color-prettylights-syntax-keyword: #a0111f;
+  --color-prettylights-syntax-string: #032563;
+  --color-prettylights-syntax-variable: #702c00;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #6e011a;
+  --color-prettylights-syntax-invalid-illegal-text: #ffffff;
+  --color-prettylights-syntax-invalid-illegal-bg: #6e011a;
+  --color-prettylights-syntax-carriage-return-text: #ffffff;
+  --color-prettylights-syntax-carriage-return-bg: #a0111f;
+  --color-prettylights-syntax-string-regexp: #024c1a;
+  --color-prettylights-syntax-markup-list: #2e1800;
+  --color-prettylights-syntax-markup-heading: #023b95;
+  --color-prettylights-syntax-markup-italic: #0e1116;
+  --color-prettylights-syntax-markup-bold: #0e1116;
+  --color-prettylights-syntax-markup-deleted-text: #6e011a;
+  --color-prettylights-syntax-markup-deleted-bg: #fff0ee;
+  --color-prettylights-syntax-markup-inserted-text: #024c1a;
+  --color-prettylights-syntax-markup-inserted-bg: #d2fedb;
+  --color-prettylights-syntax-markup-changed-text: #702c00;
+  --color-prettylights-syntax-markup-changed-bg: #ffc67b;
+  --color-prettylights-syntax-markup-ignored-text: #e7ecf0;
+  --color-prettylights-syntax-markup-ignored-bg: #023b95;
+  --color-prettylights-syntax-meta-diff-range: #622cbc;
+  --color-prettylights-syntax-brackethighlighter-angle: #4b535d;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #88929d;
+  --color-prettylights-syntax-constant-other-reference-link: #032563;
+  --color-fg-default: #0e1116;
+  --color-fg-muted: #0e1116;
+  --color-fg-subtle: #66707b;
+  --color-canvas-default: #ffffff;
+  --color-canvas-subtle: #e7ecf0;
+  --color-border-default: #20252c;
+  --color-border-muted: #88929d;
+  --color-neutral-muted: rgba(172,182,192,0.2);
+  --color-accent-fg: #0349b4;
+  --color-accent-emphasis: #0349b4;
+  --color-attention-subtle: #fcf7be;
+  --color-danger-fg: #d1242f;
+}
+}
+
+[data-color-mode=light][data-light-theme=dark],
+[data-color-mode=dark][data-dark-theme=dark],
+.vscode-body.vscode-light [data-color-mode=auto][data-light-theme=dark],
+.vscode-body.vscode-dark [data-color-mode=auto][data-dark-theme=dark] {
+  /*dark*/
+  color-scheme: dark;
+  --color-prettylights-syntax-comment: #8b949e;
+  --color-prettylights-syntax-constant: #79c0ff;
+  --color-prettylights-syntax-entity: #d2a8ff;
+  --color-prettylights-syntax-storage-modifier-import: #c9d1d9;
+  --color-prettylights-syntax-entity-tag: #7ee787;
+  --color-prettylights-syntax-keyword: #ff7b72;
+  --color-prettylights-syntax-string: #a5d6ff;
+  --color-prettylights-syntax-variable: #ffa657;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #f85149;
+  --color-prettylights-syntax-invalid-illegal-text: #f0f6fc;
+  --color-prettylights-syntax-invalid-illegal-bg: #8e1519;
+  --color-prettylights-syntax-carriage-return-text: #f0f6fc;
+  --color-prettylights-syntax-carriage-return-bg: #b62324;
+  --color-prettylights-syntax-string-regexp: #7ee787;
+  --color-prettylights-syntax-markup-list: #f2cc60;
+  --color-prettylights-syntax-markup-heading: #1f6feb;
+  --color-prettylights-syntax-markup-italic: #c9d1d9;
+  --color-prettylights-syntax-markup-bold: #c9d1d9;
+  --color-prettylights-syntax-markup-deleted-text: #ffdcd7;
+  --color-prettylights-syntax-markup-deleted-bg: #67060c;
+  --color-prettylights-syntax-markup-inserted-text: #aff5b4;
+  --color-prettylights-syntax-markup-inserted-bg: #033a16;
+  --color-prettylights-syntax-markup-changed-text: #ffdfb6;
+  --color-prettylights-syntax-markup-changed-bg: #5a1e02;
+  --color-prettylights-syntax-markup-ignored-text: #c9d1d9;
+  --color-prettylights-syntax-markup-ignored-bg: #1158c7;
+  --color-prettylights-syntax-meta-diff-range: #d2a8ff;
+  --color-prettylights-syntax-brackethighlighter-angle: #8b949e;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #484f58;
+  --color-prettylights-syntax-constant-other-reference-link: #a5d6ff;
+  --color-fg-default: #e6edf3;
+  --color-fg-muted: #7d8590;
+  --color-fg-subtle: #6e7681;
+  --color-canvas-default: #0d1117;
+  --color-canvas-subtle: #161b22;
+  --color-border-default: #30363d;
+  --color-border-muted: #21262d;
+  --color-neutral-muted: rgba(110,118,129,0.4);
+  --color-accent-fg: #2f81f7;
+  --color-accent-emphasis: #1f6feb;
+  --color-attention-subtle: rgba(187,128,9,0.15);
+  --color-danger-fg: #f85149;
+}
+@media (prefers-color-scheme: light) {
+  [data-color-mode='system'][data-light-theme=dark] {
+  /*dark*/
+  color-scheme: dark;
+  --color-prettylights-syntax-comment: #8b949e;
+  --color-prettylights-syntax-constant: #79c0ff;
+  --color-prettylights-syntax-entity: #d2a8ff;
+  --color-prettylights-syntax-storage-modifier-import: #c9d1d9;
+  --color-prettylights-syntax-entity-tag: #7ee787;
+  --color-prettylights-syntax-keyword: #ff7b72;
+  --color-prettylights-syntax-string: #a5d6ff;
+  --color-prettylights-syntax-variable: #ffa657;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #f85149;
+  --color-prettylights-syntax-invalid-illegal-text: #f0f6fc;
+  --color-prettylights-syntax-invalid-illegal-bg: #8e1519;
+  --color-prettylights-syntax-carriage-return-text: #f0f6fc;
+  --color-prettylights-syntax-carriage-return-bg: #b62324;
+  --color-prettylights-syntax-string-regexp: #7ee787;
+  --color-prettylights-syntax-markup-list: #f2cc60;
+  --color-prettylights-syntax-markup-heading: #1f6feb;
+  --color-prettylights-syntax-markup-italic: #c9d1d9;
+  --color-prettylights-syntax-markup-bold: #c9d1d9;
+  --color-prettylights-syntax-markup-deleted-text: #ffdcd7;
+  --color-prettylights-syntax-markup-deleted-bg: #67060c;
+  --color-prettylights-syntax-markup-inserted-text: #aff5b4;
+  --color-prettylights-syntax-markup-inserted-bg: #033a16;
+  --color-prettylights-syntax-markup-changed-text: #ffdfb6;
+  --color-prettylights-syntax-markup-changed-bg: #5a1e02;
+  --color-prettylights-syntax-markup-ignored-text: #c9d1d9;
+  --color-prettylights-syntax-markup-ignored-bg: #1158c7;
+  --color-prettylights-syntax-meta-diff-range: #d2a8ff;
+  --color-prettylights-syntax-brackethighlighter-angle: #8b949e;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #484f58;
+  --color-prettylights-syntax-constant-other-reference-link: #a5d6ff;
+  --color-fg-default: #e6edf3;
+  --color-fg-muted: #7d8590;
+  --color-fg-subtle: #6e7681;
+  --color-canvas-default: #0d1117;
+  --color-canvas-subtle: #161b22;
+  --color-border-default: #30363d;
+  --color-border-muted: #21262d;
+  --color-neutral-muted: rgba(110,118,129,0.4);
+  --color-accent-fg: #2f81f7;
+  --color-accent-emphasis: #1f6feb;
+  --color-attention-subtle: rgba(187,128,9,0.15);
+  --color-danger-fg: #f85149;
+}
+}
+
+@media (prefers-color-scheme: dark) {
+  [data-color-mode='system'][data-dark-theme=dark] {
+  /*dark*/
+  color-scheme: dark;
+  --color-prettylights-syntax-comment: #8b949e;
+  --color-prettylights-syntax-constant: #79c0ff;
+  --color-prettylights-syntax-entity: #d2a8ff;
+  --color-prettylights-syntax-storage-modifier-import: #c9d1d9;
+  --color-prettylights-syntax-entity-tag: #7ee787;
+  --color-prettylights-syntax-keyword: #ff7b72;
+  --color-prettylights-syntax-string: #a5d6ff;
+  --color-prettylights-syntax-variable: #ffa657;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #f85149;
+  --color-prettylights-syntax-invalid-illegal-text: #f0f6fc;
+  --color-prettylights-syntax-invalid-illegal-bg: #8e1519;
+  --color-prettylights-syntax-carriage-return-text: #f0f6fc;
+  --color-prettylights-syntax-carriage-return-bg: #b62324;
+  --color-prettylights-syntax-string-regexp: #7ee787;
+  --color-prettylights-syntax-markup-list: #f2cc60;
+  --color-prettylights-syntax-markup-heading: #1f6feb;
+  --color-prettylights-syntax-markup-italic: #c9d1d9;
+  --color-prettylights-syntax-markup-bold: #c9d1d9;
+  --color-prettylights-syntax-markup-deleted-text: #ffdcd7;
+  --color-prettylights-syntax-markup-deleted-bg: #67060c;
+  --color-prettylights-syntax-markup-inserted-text: #aff5b4;
+  --color-prettylights-syntax-markup-inserted-bg: #033a16;
+  --color-prettylights-syntax-markup-changed-text: #ffdfb6;
+  --color-prettylights-syntax-markup-changed-bg: #5a1e02;
+  --color-prettylights-syntax-markup-ignored-text: #c9d1d9;
+  --color-prettylights-syntax-markup-ignored-bg: #1158c7;
+  --color-prettylights-syntax-meta-diff-range: #d2a8ff;
+  --color-prettylights-syntax-brackethighlighter-angle: #8b949e;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #484f58;
+  --color-prettylights-syntax-constant-other-reference-link: #a5d6ff;
+  --color-fg-default: #e6edf3;
+  --color-fg-muted: #7d8590;
+  --color-fg-subtle: #6e7681;
+  --color-canvas-default: #0d1117;
+  --color-canvas-subtle: #161b22;
+  --color-border-default: #30363d;
+  --color-border-muted: #21262d;
+  --color-neutral-muted: rgba(110,118,129,0.4);
+  --color-accent-fg: #2f81f7;
+  --color-accent-emphasis: #1f6feb;
+  --color-attention-subtle: rgba(187,128,9,0.15);
+  --color-danger-fg: #f85149;
+}
+}
+
+[data-color-mode=light][data-light-theme=dark_dimmed],
+[data-color-mode=dark][data-dark-theme=dark_dimmed],
+.vscode-body.vscode-light [data-color-mode=auto][data-light-theme=dark_dimmed],
+.vscode-body.vscode-dark [data-color-mode=auto][data-dark-theme=dark_dimmed] {
+  /*dark_dimmed*/
+  color-scheme: dark;
+  --color-prettylights-syntax-comment: #768390;
+  --color-prettylights-syntax-constant: #6cb6ff;
+  --color-prettylights-syntax-entity: #dcbdfb;
+  --color-prettylights-syntax-storage-modifier-import: #adbac7;
+  --color-prettylights-syntax-entity-tag: #8ddb8c;
+  --color-prettylights-syntax-keyword: #f47067;
+  --color-prettylights-syntax-string: #96d0ff;
+  --color-prettylights-syntax-variable: #f69d50;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #e5534b;
+  --color-prettylights-syntax-invalid-illegal-text: #cdd9e5;
+  --color-prettylights-syntax-invalid-illegal-bg: #922323;
+  --color-prettylights-syntax-carriage-return-text: #cdd9e5;
+  --color-prettylights-syntax-carriage-return-bg: #ad2e2c;
+  --color-prettylights-syntax-string-regexp: #8ddb8c;
+  --color-prettylights-syntax-markup-list: #eac55f;
+  --color-prettylights-syntax-markup-heading: #316dca;
+  --color-prettylights-syntax-markup-italic: #adbac7;
+  --color-prettylights-syntax-markup-bold: #adbac7;
+  --color-prettylights-syntax-markup-deleted-text: #ffd8d3;
+  --color-prettylights-syntax-markup-deleted-bg: #78191b;
+  --color-prettylights-syntax-markup-inserted-text: #b4f1b4;
+  --color-prettylights-syntax-markup-inserted-bg: #1b4721;
+  --color-prettylights-syntax-markup-changed-text: #ffddb0;
+  --color-prettylights-syntax-markup-changed-bg: #682d0f;
+  --color-prettylights-syntax-markup-ignored-text: #adbac7;
+  --color-prettylights-syntax-markup-ignored-bg: #255ab2;
+  --color-prettylights-syntax-meta-diff-range: #dcbdfb;
+  --color-prettylights-syntax-brackethighlighter-angle: #768390;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #545d68;
+  --color-prettylights-syntax-constant-other-reference-link: #96d0ff;
+  --color-fg-default: #adbac7;
+  --color-fg-muted: #768390;
+  --color-fg-subtle: #636e7b;
+  --color-canvas-default: #22272e;
+  --color-canvas-subtle: #2d333b;
+  --color-border-default: #444c56;
+  --color-border-muted: #373e47;
+  --color-neutral-muted: rgba(99,110,123,0.4);
+  --color-accent-fg: #539bf5;
+  --color-accent-emphasis: #316dca;
+  --color-attention-subtle: rgba(174,124,20,0.15);
+  --color-danger-fg: #e5534b;
+}
+@media (prefers-color-scheme: light) {
+  [data-color-mode='system'][data-light-theme=dark_dimmed] {
+  /*dark_dimmed*/
+  color-scheme: dark;
+  --color-prettylights-syntax-comment: #768390;
+  --color-prettylights-syntax-constant: #6cb6ff;
+  --color-prettylights-syntax-entity: #dcbdfb;
+  --color-prettylights-syntax-storage-modifier-import: #adbac7;
+  --color-prettylights-syntax-entity-tag: #8ddb8c;
+  --color-prettylights-syntax-keyword: #f47067;
+  --color-prettylights-syntax-string: #96d0ff;
+  --color-prettylights-syntax-variable: #f69d50;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #e5534b;
+  --color-prettylights-syntax-invalid-illegal-text: #cdd9e5;
+  --color-prettylights-syntax-invalid-illegal-bg: #922323;
+  --color-prettylights-syntax-carriage-return-text: #cdd9e5;
+  --color-prettylights-syntax-carriage-return-bg: #ad2e2c;
+  --color-prettylights-syntax-string-regexp: #8ddb8c;
+  --color-prettylights-syntax-markup-list: #eac55f;
+  --color-prettylights-syntax-markup-heading: #316dca;
+  --color-prettylights-syntax-markup-italic: #adbac7;
+  --color-prettylights-syntax-markup-bold: #adbac7;
+  --color-prettylights-syntax-markup-deleted-text: #ffd8d3;
+  --color-prettylights-syntax-markup-deleted-bg: #78191b;
+  --color-prettylights-syntax-markup-inserted-text: #b4f1b4;
+  --color-prettylights-syntax-markup-inserted-bg: #1b4721;
+  --color-prettylights-syntax-markup-changed-text: #ffddb0;
+  --color-prettylights-syntax-markup-changed-bg: #682d0f;
+  --color-prettylights-syntax-markup-ignored-text: #adbac7;
+  --color-prettylights-syntax-markup-ignored-bg: #255ab2;
+  --color-prettylights-syntax-meta-diff-range: #dcbdfb;
+  --color-prettylights-syntax-brackethighlighter-angle: #768390;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #545d68;
+  --color-prettylights-syntax-constant-other-reference-link: #96d0ff;
+  --color-fg-default: #adbac7;
+  --color-fg-muted: #768390;
+  --color-fg-subtle: #636e7b;
+  --color-canvas-default: #22272e;
+  --color-canvas-subtle: #2d333b;
+  --color-border-default: #444c56;
+  --color-border-muted: #373e47;
+  --color-neutral-muted: rgba(99,110,123,0.4);
+  --color-accent-fg: #539bf5;
+  --color-accent-emphasis: #316dca;
+  --color-attention-subtle: rgba(174,124,20,0.15);
+  --color-danger-fg: #e5534b;
+}
+}
+
+@media (prefers-color-scheme: dark) {
+  [data-color-mode='system'][data-dark-theme=dark_dimmed] {
+  /*dark_dimmed*/
+  color-scheme: dark;
+  --color-prettylights-syntax-comment: #768390;
+  --color-prettylights-syntax-constant: #6cb6ff;
+  --color-prettylights-syntax-entity: #dcbdfb;
+  --color-prettylights-syntax-storage-modifier-import: #adbac7;
+  --color-prettylights-syntax-entity-tag: #8ddb8c;
+  --color-prettylights-syntax-keyword: #f47067;
+  --color-prettylights-syntax-string: #96d0ff;
+  --color-prettylights-syntax-variable: #f69d50;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #e5534b;
+  --color-prettylights-syntax-invalid-illegal-text: #cdd9e5;
+  --color-prettylights-syntax-invalid-illegal-bg: #922323;
+  --color-prettylights-syntax-carriage-return-text: #cdd9e5;
+  --color-prettylights-syntax-carriage-return-bg: #ad2e2c;
+  --color-prettylights-syntax-string-regexp: #8ddb8c;
+  --color-prettylights-syntax-markup-list: #eac55f;
+  --color-prettylights-syntax-markup-heading: #316dca;
+  --color-prettylights-syntax-markup-italic: #adbac7;
+  --color-prettylights-syntax-markup-bold: #adbac7;
+  --color-prettylights-syntax-markup-deleted-text: #ffd8d3;
+  --color-prettylights-syntax-markup-deleted-bg: #78191b;
+  --color-prettylights-syntax-markup-inserted-text: #b4f1b4;
+  --color-prettylights-syntax-markup-inserted-bg: #1b4721;
+  --color-prettylights-syntax-markup-changed-text: #ffddb0;
+  --color-prettylights-syntax-markup-changed-bg: #682d0f;
+  --color-prettylights-syntax-markup-ignored-text: #adbac7;
+  --color-prettylights-syntax-markup-ignored-bg: #255ab2;
+  --color-prettylights-syntax-meta-diff-range: #dcbdfb;
+  --color-prettylights-syntax-brackethighlighter-angle: #768390;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #545d68;
+  --color-prettylights-syntax-constant-other-reference-link: #96d0ff;
+  --color-fg-default: #adbac7;
+  --color-fg-muted: #768390;
+  --color-fg-subtle: #636e7b;
+  --color-canvas-default: #22272e;
+  --color-canvas-subtle: #2d333b;
+  --color-border-default: #444c56;
+  --color-border-muted: #373e47;
+  --color-neutral-muted: rgba(99,110,123,0.4);
+  --color-accent-fg: #539bf5;
+  --color-accent-emphasis: #316dca;
+  --color-attention-subtle: rgba(174,124,20,0.15);
+  --color-danger-fg: #e5534b;
+}
+}
+
+[data-color-mode=light][data-light-theme=dark_colorblind],
+[data-color-mode=dark][data-dark-theme=dark_colorblind],
+.vscode-body.vscode-light [data-color-mode=auto][data-light-theme=dark_colorblind],
+.vscode-body.vscode-dark [data-color-mode=auto][data-dark-theme=dark_colorblind] {
+  /*dark_colorblind*/
+  color-scheme: dark;
+  --color-prettylights-syntax-comment: #8b949e;
+  --color-prettylights-syntax-constant: #79c0ff;
+  --color-prettylights-syntax-entity: #d2a8ff;
+  --color-prettylights-syntax-storage-modifier-import: #c9d1d9;
+  --color-prettylights-syntax-entity-tag: #a5d6ff;
+  --color-prettylights-syntax-keyword: #ec8e2c;
+  --color-prettylights-syntax-string: #a5d6ff;
+  --color-prettylights-syntax-variable: #fdac54;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #d47616;
+  --color-prettylights-syntax-invalid-illegal-text: #f0f6fc;
+  --color-prettylights-syntax-invalid-illegal-bg: #6c3906;
+  --color-prettylights-syntax-carriage-return-text: #f0f6fc;
+  --color-prettylights-syntax-carriage-return-bg: #914d04;
+  --color-prettylights-syntax-string-regexp: #a5d6ff;
+  --color-prettylights-syntax-markup-list: #f2cc60;
+  --color-prettylights-syntax-markup-heading: #1f6feb;
+  --color-prettylights-syntax-markup-italic: #c9d1d9;
+  --color-prettylights-syntax-markup-bold: #c9d1d9;
+  --color-prettylights-syntax-markup-deleted-text: #ffe2bb;
+  --color-prettylights-syntax-markup-deleted-bg: #4e2906;
+  --color-prettylights-syntax-markup-inserted-text: #cae8ff;
+  --color-prettylights-syntax-markup-inserted-bg: #0c2d6b;
+  --color-prettylights-syntax-markup-changed-text: #ffe2bb;
+  --color-prettylights-syntax-markup-changed-bg: #4e2906;
+  --color-prettylights-syntax-markup-ignored-text: #c9d1d9;
+  --color-prettylights-syntax-markup-ignored-bg: #1158c7;
+  --color-prettylights-syntax-meta-diff-range: #d2a8ff;
+  --color-prettylights-syntax-brackethighlighter-angle: #8b949e;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #484f58;
+  --color-prettylights-syntax-constant-other-reference-link: #a5d6ff;
+  --color-fg-default: #c9d1d9;
+  --color-fg-muted: #8b949e;
+  --color-fg-subtle: #6e7681;
+  --color-canvas-default: #0d1117;
+  --color-canvas-subtle: #161b22;
+  --color-border-default: #30363d;
+  --color-border-muted: #21262d;
+  --color-neutral-muted: rgba(110,118,129,0.4);
+  --color-accent-fg: #58a6ff;
+  --color-accent-emphasis: #1f6feb;
+  --color-attention-subtle: rgba(187,128,9,0.15);
+  --color-danger-fg: #d47616;
+}
+@media (prefers-color-scheme: light) {
+  [data-color-mode='system'][data-light-theme=dark_colorblind] {
+  /*dark_colorblind*/
+  color-scheme: dark;
+  --color-prettylights-syntax-comment: #8b949e;
+  --color-prettylights-syntax-constant: #79c0ff;
+  --color-prettylights-syntax-entity: #d2a8ff;
+  --color-prettylights-syntax-storage-modifier-import: #c9d1d9;
+  --color-prettylights-syntax-entity-tag: #a5d6ff;
+  --color-prettylights-syntax-keyword: #ec8e2c;
+  --color-prettylights-syntax-string: #a5d6ff;
+  --color-prettylights-syntax-variable: #fdac54;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #d47616;
+  --color-prettylights-syntax-invalid-illegal-text: #f0f6fc;
+  --color-prettylights-syntax-invalid-illegal-bg: #6c3906;
+  --color-prettylights-syntax-carriage-return-text: #f0f6fc;
+  --color-prettylights-syntax-carriage-return-bg: #914d04;
+  --color-prettylights-syntax-string-regexp: #a5d6ff;
+  --color-prettylights-syntax-markup-list: #f2cc60;
+  --color-prettylights-syntax-markup-heading: #1f6feb;
+  --color-prettylights-syntax-markup-italic: #c9d1d9;
+  --color-prettylights-syntax-markup-bold: #c9d1d9;
+  --color-prettylights-syntax-markup-deleted-text: #ffe2bb;
+  --color-prettylights-syntax-markup-deleted-bg: #4e2906;
+  --color-prettylights-syntax-markup-inserted-text: #cae8ff;
+  --color-prettylights-syntax-markup-inserted-bg: #0c2d6b;
+  --color-prettylights-syntax-markup-changed-text: #ffe2bb;
+  --color-prettylights-syntax-markup-changed-bg: #4e2906;
+  --color-prettylights-syntax-markup-ignored-text: #c9d1d9;
+  --color-prettylights-syntax-markup-ignored-bg: #1158c7;
+  --color-prettylights-syntax-meta-diff-range: #d2a8ff;
+  --color-prettylights-syntax-brackethighlighter-angle: #8b949e;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #484f58;
+  --color-prettylights-syntax-constant-other-reference-link: #a5d6ff;
+  --color-fg-default: #c9d1d9;
+  --color-fg-muted: #8b949e;
+  --color-fg-subtle: #6e7681;
+  --color-canvas-default: #0d1117;
+  --color-canvas-subtle: #161b22;
+  --color-border-default: #30363d;
+  --color-border-muted: #21262d;
+  --color-neutral-muted: rgba(110,118,129,0.4);
+  --color-accent-fg: #58a6ff;
+  --color-accent-emphasis: #1f6feb;
+  --color-attention-subtle: rgba(187,128,9,0.15);
+  --color-danger-fg: #d47616;
+}
+}
+
+@media (prefers-color-scheme: dark) {
+  [data-color-mode='system'][data-dark-theme=dark_colorblind] {
+  /*dark_colorblind*/
+  color-scheme: dark;
+  --color-prettylights-syntax-comment: #8b949e;
+  --color-prettylights-syntax-constant: #79c0ff;
+  --color-prettylights-syntax-entity: #d2a8ff;
+  --color-prettylights-syntax-storage-modifier-import: #c9d1d9;
+  --color-prettylights-syntax-entity-tag: #a5d6ff;
+  --color-prettylights-syntax-keyword: #ec8e2c;
+  --color-prettylights-syntax-string: #a5d6ff;
+  --color-prettylights-syntax-variable: #fdac54;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #d47616;
+  --color-prettylights-syntax-invalid-illegal-text: #f0f6fc;
+  --color-prettylights-syntax-invalid-illegal-bg: #6c3906;
+  --color-prettylights-syntax-carriage-return-text: #f0f6fc;
+  --color-prettylights-syntax-carriage-return-bg: #914d04;
+  --color-prettylights-syntax-string-regexp: #a5d6ff;
+  --color-prettylights-syntax-markup-list: #f2cc60;
+  --color-prettylights-syntax-markup-heading: #1f6feb;
+  --color-prettylights-syntax-markup-italic: #c9d1d9;
+  --color-prettylights-syntax-markup-bold: #c9d1d9;
+  --color-prettylights-syntax-markup-deleted-text: #ffe2bb;
+  --color-prettylights-syntax-markup-deleted-bg: #4e2906;
+  --color-prettylights-syntax-markup-inserted-text: #cae8ff;
+  --color-prettylights-syntax-markup-inserted-bg: #0c2d6b;
+  --color-prettylights-syntax-markup-changed-text: #ffe2bb;
+  --color-prettylights-syntax-markup-changed-bg: #4e2906;
+  --color-prettylights-syntax-markup-ignored-text: #c9d1d9;
+  --color-prettylights-syntax-markup-ignored-bg: #1158c7;
+  --color-prettylights-syntax-meta-diff-range: #d2a8ff;
+  --color-prettylights-syntax-brackethighlighter-angle: #8b949e;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #484f58;
+  --color-prettylights-syntax-constant-other-reference-link: #a5d6ff;
+  --color-fg-default: #c9d1d9;
+  --color-fg-muted: #8b949e;
+  --color-fg-subtle: #6e7681;
+  --color-canvas-default: #0d1117;
+  --color-canvas-subtle: #161b22;
+  --color-border-default: #30363d;
+  --color-border-muted: #21262d;
+  --color-neutral-muted: rgba(110,118,129,0.4);
+  --color-accent-fg: #58a6ff;
+  --color-accent-emphasis: #1f6feb;
+  --color-attention-subtle: rgba(187,128,9,0.15);
+  --color-danger-fg: #d47616;
+}
+}
+
+[data-color-mode=light][data-light-theme=dark_tritanopia],
+[data-color-mode=dark][data-dark-theme=dark_tritanopia],
+.vscode-body.vscode-light [data-color-mode=auto][data-light-theme=dark_tritanopia],
+.vscode-body.vscode-dark [data-color-mode=auto][data-dark-theme=dark_tritanopia] {
+  /*dark_tritanopia*/
+  color-scheme: dark;
+  --color-prettylights-syntax-comment: #8b949e;
+  --color-prettylights-syntax-constant: #79c0ff;
+  --color-prettylights-syntax-entity: #d2a8ff;
+  --color-prettylights-syntax-storage-modifier-import: #c9d1d9;
+  --color-prettylights-syntax-entity-tag: #a5d6ff;
+  --color-prettylights-syntax-keyword: #ff7b72;
+  --color-prettylights-syntax-string: #a5d6ff;
+  --color-prettylights-syntax-variable: #ffa198;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #f85149;
+  --color-prettylights-syntax-invalid-illegal-text: #f0f6fc;
+  --color-prettylights-syntax-invalid-illegal-bg: #8e1519;
+  --color-prettylights-syntax-carriage-return-text: #f0f6fc;
+  --color-prettylights-syntax-carriage-return-bg: #b62324;
+  --color-prettylights-syntax-string-regexp: #a5d6ff;
+  --color-prettylights-syntax-markup-list: #f2cc60;
+  --color-prettylights-syntax-markup-heading: #1f6feb;
+  --color-prettylights-syntax-markup-italic: #c9d1d9;
+  --color-prettylights-syntax-markup-bold: #c9d1d9;
+  --color-prettylights-syntax-markup-deleted-text: #ffdcd7;
+  --color-prettylights-syntax-markup-deleted-bg: #67060c;
+  --color-prettylights-syntax-markup-inserted-text: #cae8ff;
+  --color-prettylights-syntax-markup-inserted-bg: #0c2d6b;
+  --color-prettylights-syntax-markup-changed-text: #ffdcd7;
+  --color-prettylights-syntax-markup-changed-bg: #67060c;
+  --color-prettylights-syntax-markup-ignored-text: #c9d1d9;
+  --color-prettylights-syntax-markup-ignored-bg: #1158c7;
+  --color-prettylights-syntax-meta-diff-range: #d2a8ff;
+  --color-prettylights-syntax-brackethighlighter-angle: #8b949e;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #484f58;
+  --color-prettylights-syntax-constant-other-reference-link: #a5d6ff;
+  --color-fg-default: #c9d1d9;
+  --color-fg-muted: #8b949e;
+  --color-fg-subtle: #6e7681;
+  --color-canvas-default: #0d1117;
+  --color-canvas-subtle: #161b22;
+  --color-border-default: #30363d;
+  --color-border-muted: #21262d;
+  --color-neutral-muted: rgba(110,118,129,0.4);
+  --color-accent-fg: #58a6ff;
+  --color-accent-emphasis: #1f6feb;
+  --color-attention-subtle: rgba(187,128,9,0.15);
+  --color-danger-fg: #f85149;
+}
+@media (prefers-color-scheme: light) {
+  [data-color-mode='system'][data-light-theme=dark_tritanopia] {
+  /*dark_tritanopia*/
+  color-scheme: dark;
+  --color-prettylights-syntax-comment: #8b949e;
+  --color-prettylights-syntax-constant: #79c0ff;
+  --color-prettylights-syntax-entity: #d2a8ff;
+  --color-prettylights-syntax-storage-modifier-import: #c9d1d9;
+  --color-prettylights-syntax-entity-tag: #a5d6ff;
+  --color-prettylights-syntax-keyword: #ff7b72;
+  --color-prettylights-syntax-string: #a5d6ff;
+  --color-prettylights-syntax-variable: #ffa198;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #f85149;
+  --color-prettylights-syntax-invalid-illegal-text: #f0f6fc;
+  --color-prettylights-syntax-invalid-illegal-bg: #8e1519;
+  --color-prettylights-syntax-carriage-return-text: #f0f6fc;
+  --color-prettylights-syntax-carriage-return-bg: #b62324;
+  --color-prettylights-syntax-string-regexp: #a5d6ff;
+  --color-prettylights-syntax-markup-list: #f2cc60;
+  --color-prettylights-syntax-markup-heading: #1f6feb;
+  --color-prettylights-syntax-markup-italic: #c9d1d9;
+  --color-prettylights-syntax-markup-bold: #c9d1d9;
+  --color-prettylights-syntax-markup-deleted-text: #ffdcd7;
+  --color-prettylights-syntax-markup-deleted-bg: #67060c;
+  --color-prettylights-syntax-markup-inserted-text: #cae8ff;
+  --color-prettylights-syntax-markup-inserted-bg: #0c2d6b;
+  --color-prettylights-syntax-markup-changed-text: #ffdcd7;
+  --color-prettylights-syntax-markup-changed-bg: #67060c;
+  --color-prettylights-syntax-markup-ignored-text: #c9d1d9;
+  --color-prettylights-syntax-markup-ignored-bg: #1158c7;
+  --color-prettylights-syntax-meta-diff-range: #d2a8ff;
+  --color-prettylights-syntax-brackethighlighter-angle: #8b949e;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #484f58;
+  --color-prettylights-syntax-constant-other-reference-link: #a5d6ff;
+  --color-fg-default: #c9d1d9;
+  --color-fg-muted: #8b949e;
+  --color-fg-subtle: #6e7681;
+  --color-canvas-default: #0d1117;
+  --color-canvas-subtle: #161b22;
+  --color-border-default: #30363d;
+  --color-border-muted: #21262d;
+  --color-neutral-muted: rgba(110,118,129,0.4);
+  --color-accent-fg: #58a6ff;
+  --color-accent-emphasis: #1f6feb;
+  --color-attention-subtle: rgba(187,128,9,0.15);
+  --color-danger-fg: #f85149;
+}
+}
+
+@media (prefers-color-scheme: dark) {
+  [data-color-mode='system'][data-dark-theme=dark_tritanopia] {
+  /*dark_tritanopia*/
+  color-scheme: dark;
+  --color-prettylights-syntax-comment: #8b949e;
+  --color-prettylights-syntax-constant: #79c0ff;
+  --color-prettylights-syntax-entity: #d2a8ff;
+  --color-prettylights-syntax-storage-modifier-import: #c9d1d9;
+  --color-prettylights-syntax-entity-tag: #a5d6ff;
+  --color-prettylights-syntax-keyword: #ff7b72;
+  --color-prettylights-syntax-string: #a5d6ff;
+  --color-prettylights-syntax-variable: #ffa198;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #f85149;
+  --color-prettylights-syntax-invalid-illegal-text: #f0f6fc;
+  --color-prettylights-syntax-invalid-illegal-bg: #8e1519;
+  --color-prettylights-syntax-carriage-return-text: #f0f6fc;
+  --color-prettylights-syntax-carriage-return-bg: #b62324;
+  --color-prettylights-syntax-string-regexp: #a5d6ff;
+  --color-prettylights-syntax-markup-list: #f2cc60;
+  --color-prettylights-syntax-markup-heading: #1f6feb;
+  --color-prettylights-syntax-markup-italic: #c9d1d9;
+  --color-prettylights-syntax-markup-bold: #c9d1d9;
+  --color-prettylights-syntax-markup-deleted-text: #ffdcd7;
+  --color-prettylights-syntax-markup-deleted-bg: #67060c;
+  --color-prettylights-syntax-markup-inserted-text: #cae8ff;
+  --color-prettylights-syntax-markup-inserted-bg: #0c2d6b;
+  --color-prettylights-syntax-markup-changed-text: #ffdcd7;
+  --color-prettylights-syntax-markup-changed-bg: #67060c;
+  --color-prettylights-syntax-markup-ignored-text: #c9d1d9;
+  --color-prettylights-syntax-markup-ignored-bg: #1158c7;
+  --color-prettylights-syntax-meta-diff-range: #d2a8ff;
+  --color-prettylights-syntax-brackethighlighter-angle: #8b949e;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #484f58;
+  --color-prettylights-syntax-constant-other-reference-link: #a5d6ff;
+  --color-fg-default: #c9d1d9;
+  --color-fg-muted: #8b949e;
+  --color-fg-subtle: #6e7681;
+  --color-canvas-default: #0d1117;
+  --color-canvas-subtle: #161b22;
+  --color-border-default: #30363d;
+  --color-border-muted: #21262d;
+  --color-neutral-muted: rgba(110,118,129,0.4);
+  --color-accent-fg: #58a6ff;
+  --color-accent-emphasis: #1f6feb;
+  --color-attention-subtle: rgba(187,128,9,0.15);
+  --color-danger-fg: #f85149;
+}
+}
+
+[data-color-mode=light][data-light-theme=dark_high_contrast],
+[data-color-mode=dark][data-dark-theme=dark_high_contrast],
+.vscode-body.vscode-light [data-color-mode=auto][data-light-theme=dark_high_contrast],
+.vscode-body.vscode-dark [data-color-mode=auto][data-dark-theme=dark_high_contrast] {
+  /*dark_high_contrast*/
+  color-scheme: dark;
+  --color-prettylights-syntax-comment: #bdc4cc;
+  --color-prettylights-syntax-constant: #91cbff;
+  --color-prettylights-syntax-entity: #dbb7ff;
+  --color-prettylights-syntax-storage-modifier-import: #f0f3f6;
+  --color-prettylights-syntax-entity-tag: #72f088;
+  --color-prettylights-syntax-keyword: #ff9492;
+  --color-prettylights-syntax-string: #addcff;
+  --color-prettylights-syntax-variable: #ffb757;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #ff6a69;
+  --color-prettylights-syntax-invalid-illegal-text: #ffffff;
+  --color-prettylights-syntax-invalid-illegal-bg: #e82a2f;
+  --color-prettylights-syntax-carriage-return-text: #ffffff;
+  --color-prettylights-syntax-carriage-return-bg: #ff4445;
+  --color-prettylights-syntax-string-regexp: #72f088;
+  --color-prettylights-syntax-markup-list: #fbd669;
+  --color-prettylights-syntax-markup-heading: #409eff;
+  --color-prettylights-syntax-markup-italic: #f0f3f6;
+  --color-prettylights-syntax-markup-bold: #f0f3f6;
+  --color-prettylights-syntax-markup-deleted-text: #ffdedb;
+  --color-prettylights-syntax-markup-deleted-bg: #cc1421;
+  --color-prettylights-syntax-markup-inserted-text: #acf7b6;
+  --color-prettylights-syntax-markup-inserted-bg: #007728;
+  --color-prettylights-syntax-markup-changed-text: #ffe1b4;
+  --color-prettylights-syntax-markup-changed-bg: #a74c00;
+  --color-prettylights-syntax-markup-ignored-text: #f0f3f6;
+  --color-prettylights-syntax-markup-ignored-bg: #318bf8;
+  --color-prettylights-syntax-meta-diff-range: #dbb7ff;
+  --color-prettylights-syntax-brackethighlighter-angle: #bdc4cc;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #7a828e;
+  --color-prettylights-syntax-constant-other-reference-link: #addcff;
+  --color-fg-default: #f0f3f6;
+  --color-fg-muted: #f0f3f6;
+  --color-fg-subtle: #9ea7b3;
+  --color-canvas-default: #0a0c10;
+  --color-canvas-subtle: #272b33;
+  --color-border-default: #7a828e;
+  --color-border-muted: #7a828e;
+  --color-neutral-muted: rgba(158,167,179,0.4);
+  --color-accent-fg: #71b7ff;
+  --color-accent-emphasis: #409eff;
+  --color-attention-subtle: rgba(224,155,19,0.15);
+  --color-danger-fg: #ff6a69;
+}
+@media (prefers-color-scheme: light) {
+  [data-color-mode='system'][data-light-theme=dark_high_contrast] {
+  /*dark_high_contrast*/
+  color-scheme: dark;
+  --color-prettylights-syntax-comment: #bdc4cc;
+  --color-prettylights-syntax-constant: #91cbff;
+  --color-prettylights-syntax-entity: #dbb7ff;
+  --color-prettylights-syntax-storage-modifier-import: #f0f3f6;
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+
+/*!
+  Theme: GitHub
+  Description: Highlight-js port of github.com theme
+  Author: github.com
+  Maintainer: @SNDST00M, @mjbvz
+  Updated: 2021-12-08
+*/
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+/*!
+  Theme: GitHub
+  Description: Theme as seen on github.com
+  Author: github.com
+  Maintainer: @Hirse
+  Updated: 2021-05-15
+
+  Outdated base version: https://github.com/primer/github-syntax-dark
+  Current colors taken from GitHub's CSS
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+            <div class="github-markdown-content"><span id="markdown-mermaid" aria-hidden="true"
+                    data-dark-mode-theme="dark"
+                    data-light-mode-theme="default"></span>
+                <p><img src="file:////Users/cbatters/git/amescap-master-planetary-science/AmesCAP/tutorial/tutorial_images/Tutorial_Banner_Final.png" alt=""></p>
+<!-- TOC titleSize:2 tabSpaces:2 depthFrom:1 depthTo:6 withLinks:1 updateOnSave:1 orderedList:0 skip:0 title:1 charForUnorderedList:* -->
+<h2 id="table-of-contents">Table of Contents</h2>
+<ul>
+<li><a href="#introducing-the-community-analysis-pipeline-cap">Introducing the Community Analysis Pipeline (CAP)</a></li>
+<li><a href="#cheat-sheet">Cheat sheet</a></li>
+<li><a href="#the-big-question-how-do-i-do-this---span-stylecolorredask-for-help--span">The big question... How do I do this? &gt;  <span style="color:red">Ask for help!  </span></a></li>
+<li><a href="#1-marspullpy---downloading-raw-mgcm-output">1. <code>MarsPull.py</code> - Downloading Raw MGCM Output</a></li>
+<li><a href="#2-marsfilespy---reducing-the-files">2. <code>MarsFiles.py</code> - Reducing the Files</a></li>
+<li><a href="#3-marsvarspy---performing-variable-operations">3. <code>MarsVars.py</code> - Performing Variable Operations</a></li>
+<li><a href="#4-marsinterppy---interpolating-the-vertical-grid">4. <code>MarsInterp.py</code> - Interpolating the Vertical Grid</a></li>
+<li><a href="#5-marsplotpy---plotting-the-results">5. <code>MarsPlot.py</code> - Plotting the Results</a></li>
+<li><a href="#marsplotpy--how-to">MarsPlot.py:  How to?</a>
+<ul>
+<li><a href="#inspect-the-content-of-netcdf-files">Inspect the content of netCDF files</a></li>
+<li><a href="#disable-or-add-a-new-plot">Disable or add a new plot</a></li>
+<li><a href="#adjust-the-color-range--and-colormap">Adjust the color range  and colormap</a></li>
+<li><a href="#make-a-1d-plot">Make a 1D-plot</a></li>
+<li><a href="#customize-1d-plots">Customize 1D plots</a></li>
+<li><a href="#put-multiple-plots-on-the-same-page">Put multiple plots on the same page</a></li>
+<li><a href="#put-multiple-1d-plots-on-the-same-page">Put multiple 1D-plots on the same page</a></li>
+<li><a href="#use-a-different-epoch">Use a different epoch</a></li>
+<li><a href="#access-simulation-in-a-different-directory">Access simulation in a different directory</a></li>
+<li><a href="#overwrite-the-free-dimensions">Overwrite the free dimensions.</a></li>
+<li><a href="#element-wise-operations">Element-wise operations</a></li>
+<li><a href="#code-comments-and-speed-up-processing">Code comments and speed-up processing</a></li>
+<li><a href="#change-projections">Change projections</a></li>
+<li><a href="#figure-format-size">Figure format, size</a></li>
+<li><a href="#access-cap-libraries-and-make-your-own-plots">Access CAP libraries and make your own plots</a></li>
+<li><a href="#debugging">Debugging</a></li>
+</ul>
+</li>
+</ul>
+<!-- /TOC -->
+<hr>
+<h1 id="introducing-the-community-analysis-pipeline-cap">Introducing the Community Analysis Pipeline (CAP)</h1>
+<p>CAP is a toolkit designed to simplify the post-processing of MGCM output. CAP is written in Python and works with existing Python libraries, allowing any Python user to install and use CAP easily and free of charge. Without CAP, plotting MGCM output requires that a user provide their own scripts for post-processing, including code for interpolating the vertical grid, computing and adding derived variables to files, converting between file types, and creating diagnostic plots. In other words, a user would be responsible for the entire post-processing effort as illustrated in Figure 1.</p>
+<p><img src="file:////Users/cbatters/git/amescap-master-planetary-science/AmesCAP/tutorial/tutorial_images/Typical_Pipeline.png" alt="Figure 1. The Typical Pipeline"></p>
+<p>Such a process requires that users be familiar with Fortran files and be able to write (or provide) script(s) to perform file manipulations and create plots. CAP standardizes the post-processing effort by providing executables that can perform file manipulations and create diagnostic plots from the command line. This enables users of almost any skill level to post-process and plot MGCM data (Figure 2).</p>
+<p><img src="file:////Users/cbatters/git/amescap-master-planetary-science/AmesCAP/tutorial/tutorial_images/CAP.png" alt="Figure 2. The New Pipeline (CAP)"></p>
+<p>As a foreword, we will list a few design characteristics of CAP:</p>
+<ul>
+<li>CAP is written in <strong>Python</strong>, an open-source programming language with extensive scientific libraries available</li>
+<li>CAP is installed within a Python <strong>virtual environment</strong>, which provides cross-platform support (MacOS, Linux and Windows), robust version control (packages updated within the main Python distribution will not affect CAP), and is not intrusive as it disappears when deactivated</li>
+<li>CAP is composed of a <strong>set of libraries</strong> (functions), callable from a user's own scripts and a collection of <strong>five executables</strong>, which  allows for efficient processing of model outputs from the command-line.</li>
+<li>CAP uses the <strong>netCDF4 data format</strong>, which is widely use in the climate modeling community and self-descriptive (meaning that a file contains  explicit information about its content in term of variables names, units etc...)</li>
+<li>CAP uses a convention for output formatting inherited from the GFDL Finite­-Volume Cubed-Sphere Dynamical Core, referred here as  &quot;<strong>FV3 format</strong>&quot;: outputs may be binned and averaged in time in various ways for analysis.</li>
+<li>CAP long-term goal is to offer <strong>multi-model support</strong>. At the time of the writing, both the NASA Ames Legacy GCM and the NASA Ames GCM with the FV3 dynamical core are  supported. Efforts are underway to offer compatibility to others Global Climate Models (e.g. eMARS, LMD, MarsWRF).</li>
+</ul>
+<p>Specifically, CAP consists of five executables:</p>
+<ol>
+<li><code>MarsPull.py</code>    Access MGCM output</li>
+<li><code>MarsFiles.py</code>   Reduce the files</li>
+<li><code>MarsVars.py</code>    Perform variable operations</li>
+<li><code>MarsInterp.py</code>  Interpolate the vertical grid</li>
+<li><code>MarsPlot.py</code>    Visualize the MGCM output</li>
+</ol>
+<p>These executables and their commonly-used functions are illustrated in the cheat sheet below in the order in which they are most often used. You should feel free to reference during and after the tutorial.</p>
+<h1 id="cheat-sheet">Cheat sheet</h1>
+<p><img src="file:////Users/cbatters/git/amescap-master-planetary-science/AmesCAP/tutorial/tutorial_images/Cheat_Sheet.png" alt="Figure 3. Quick Guide to Using CAP"></p>
+<p>CAP is designed to be modular. For example, a user could post-process and plot MGCM output exclusively with CAP or a user could employ their own post-processing routine and then use CAP to plot the data. Users are free to selectively integrate CAP into their own analysis routine to the extent they see fit.</p>
+<hr>
+<h1 id="the-big-question-how-do-i-do-this---ask-for-help--">The big question... How do I do this? &gt;  <span style="color:red">Ask for help!  </span></h1>
+<p>Use the <code>--help</code> (<code>-h</code> for short) option on any executable to display documentation and examples.</p>
+<pre><code>(amesGCM3)&gt;$ MarsPlot.py -h
+&gt; usage: MarsPlot.py [-h] [-i INSPECT_FILE] [-d DATE [DATE ...]] [--template]
+&gt;                   [-do DO] [-sy] [-o {pdf,eps,png}] [-vert] [-dir DIRECTORY]
+&gt;                   [--debug]
+&gt;                   [custom_file]
+</code></pre>
+<hr>
+<h1 id="1-marspullpy---downloading-raw-mgcm-output">1. <code>MarsPull.py</code> - Downloading Raw MGCM Output</h1>
+<p><code>MarsPull</code> is a utility for accessing MGCM output files hosted on the <a href="https://data.nas.nasa.gov/legacygcm/data_legacygcm.php">MCMC Data portal</a>. MGCM data is archived in 1.5 hour intervals (16x/day) and packaged in files containing 10 sols. The files are named fort.11_XXXX in the order they were produced, but  <code>MarsPull</code> maps those files to specific solar longitudes (L<sub>s</sub>, in °). This allows users to request a file at a specific L<sub>s</sub> or for a range of L<sub>s</sub> using the <code>-ls</code> flag. Additionally the <code>identifier</code> (<code>-id</code>) flag is used to route <code>MarsPull</code> through a particular simulation. The <code>filename</code> (<code>-f</code>) flag can be used to parse specific files within a particular directory.</p>
+<pre><code class="language-bash">MarsPull.py -<span class="hljs-built_in">id</span> INERTCLDS -<span class="hljs-built_in">ls</span> 255 285
+MarsPull.py -<span class="hljs-built_in">id</span> ACTIVECLDS -f fort.11_0720 fort.11_0723
+</code></pre>
+<p><a href="#cheat-sheet">Back to Top</a></p>
+<hr>
+<h1 id="2-marsfilespy---reducing-the-files">2. <code>MarsFiles.py</code> - Reducing the Files</h1>
+<p><code>MarsFiles</code> provides several tools for file manipulations, including code designed to create binned, averaged, and time-shifted files from MGCM output. The <code>-fv3</code> flag is used to convert fort.11 binaries to the Netcdf data format (you can select one or more of the file format listed below):</p>
+<pre><code class="language-bash">(amesGCM3)&gt;$ MarsFiles.py fort.11* -fv3 fixed average daily diurn
+</code></pre>
+<p>These are the file formats that <code>MarsFiles</code> can create from the fort.11 MGCM output files.</p>
+<p><strong>Primary files</strong></p>
+<table>
+<thead>
+<tr>
+<th>File name</th>
+<th>Description</th>
+<th>Timesteps for 10 sols x 16 output/sol</th>
+<th>Ratio to daily file (430Mb)</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td><strong>atmos_daily.nc</strong></td>
+<td>continuous time series</td>
+<td>(16 x 10)=160</td>
+<td>1</td>
+</tr>
+<tr>
+<td><strong>atmos_diurn.nc</strong></td>
+<td>data binned by time of day and 5-day averaged</td>
+<td>(16 x 2)=32</td>
+<td>x5 smaller</td>
+</tr>
+<tr>
+<td><strong>atmos_average.nc</strong></td>
+<td>5-day averages</td>
+<td>(1 x 2) = 2</td>
+<td>x80 smaller</td>
+</tr>
+<tr>
+<td><strong><a href="http://fixed.nc">fixed.nc</a></strong></td>
+<td>statics variable such as surface albedo and topography</td>
+<td>static</td>
+<td>few kB</td>
+</tr>
+</tbody>
+</table>
+<p><strong>Secondary files</strong></p>
+<table>
+<thead>
+<tr>
+<th>File name</th>
+<th>description</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td>daily**_lpf**,<strong>_hpf</strong>,<strong>_bpf</strong></td>
+<td>low, high and band pass filtered</td>
+</tr>
+<tr>
+<td>diurn**_T**</td>
+<td>uniform local time (same time of day at all longitudes)</td>
+</tr>
+<tr>
+<td>diurn**_tidal**</td>
+<td>tidally-decomposed files into  harmonics</td>
+</tr>
+<tr>
+<td>daily**_to_average**  <strong>_to_diurn</strong></td>
+<td>custom re-binning of daily files</td>
+</tr>
+</tbody>
+</table>
+<ul>
+<li><code>MarsFiles</code> can concatenate like-files together along the time dimension using the <code>-combine</code> (<code>-c</code>) flag.</li>
+</ul>
+<pre><code class="language-bash">&gt; 07180.atmos_average.nc  07190.atmos_average.nc  07200.atmos_average.nc <span class="hljs-comment"># 3 files with 10 days of output each</span>
+(amesGCM3)&gt;$ MarsFiles.py *atmos_average.nc -c
+&gt; 07180.atmos_average.nc  <span class="hljs-comment"># 1 file with 30 days of output</span>
+</code></pre>
+<p><img src="file:////Users/cbatters/git/amescap-master-planetary-science/AmesCAP/tutorial/tutorial_images/MarsFiles_diurn.png" alt="Figure X. MarsFiles options">
+<em>3pm surface temperature before (left) and after (right) processing a diurn file with MarsFile to uniform local time (<code>diurn_T.nc</code>)</em></p>
+<p><a href="#cheat-sheet">Back to Top</a></p>
+<hr>
+<h1 id="3-marsvarspy---performing-variable-operations">3. <code>MarsVars.py</code> - Performing Variable Operations</h1>
+<p><code>MarsVars</code> provides several tools relating to variable operations such as adding and removing variables, and performing column integrations. With no other arguments, passing a file to <code>MarsVars</code> displays file content, much like <code>ncdump</code>:</p>
+<pre><code class="language-bash">(amesGCM3)&gt;$ MarsVars.py 00000.atmos_average.nc
+&gt;
+&gt; ===================DIMENSIONS==========================
+&gt; [<span class="hljs-string">&#x27;bnds&#x27;</span>, <span class="hljs-string">&#x27;time&#x27;</span>, <span class="hljs-string">&#x27;lat&#x27;</span>, <span class="hljs-string">&#x27;lon&#x27;</span>, <span class="hljs-string">&#x27;pfull&#x27;</span>, <span class="hljs-string">&#x27;scalar_axis&#x27;</span>, <span class="hljs-string">&#x27;phalf&#x27;</span>]
+&gt; (etc)
+&gt; ====================CONTENT==========================
+&gt; pfull          : (<span class="hljs-string">&#x27;pfull&#x27;</span>,)= (30,), ref full pressure level  [Pa]
+&gt; temp           : (<span class="hljs-string">&#x27;time&#x27;</span>, <span class="hljs-string">&#x27;pfull&#x27;</span>, <span class="hljs-string">&#x27;lat&#x27;</span>, <span class="hljs-string">&#x27;lon&#x27;</span>)= (4, 30, 180, 360), temperature  [K]
+&gt; (etc)
+</code></pre>
+<p>A typical option of <code>MarsVars</code> would be to add the atmospheric density <code>rho</code> to a file. Because the density is easily computed from the pressure and temperature fields, we do not archive in in the GCM output and instead provides a utility to add it as needed. This conservative approach to logging output allows to  minimize disk space and speed-up post processing.</p>
+<pre><code class="language-bash">(amesGCM3)&gt;$ MarsVars.py 00000.atmos_average.nc -add rho
+</code></pre>
+<p>We can see that <code>rho</code> was added by calling <code>MarsVars</code> with no argument as before:</p>
+<pre><code class="language-bash">(amesGCM3)&gt;$ MarsVars.py 00000.atmos_average.nc
+&gt;
+&gt; ===================DIMENSIONS==========================
+&gt; [<span class="hljs-string">&#x27;bnds&#x27;</span>, <span class="hljs-string">&#x27;time&#x27;</span>, <span class="hljs-string">&#x27;lat&#x27;</span>, <span class="hljs-string">&#x27;lon&#x27;</span>, <span class="hljs-string">&#x27;pfull&#x27;</span>, <span class="hljs-string">&#x27;scalar_axis&#x27;</span>, <span class="hljs-string">&#x27;phalf&#x27;</span>]
+&gt; (etc)
+&gt; ====================CONTENT==========================
+&gt; pfull          : (<span class="hljs-string">&#x27;pfull&#x27;</span>,)= (30,), ref full pressure level  [Pa]
+&gt; temp           : (<span class="hljs-string">&#x27;time&#x27;</span>, <span class="hljs-string">&#x27;pfull&#x27;</span>, <span class="hljs-string">&#x27;lat&#x27;</span>, <span class="hljs-string">&#x27;lon&#x27;</span>)= (4, 30, 180, 360), temperature  [K]
+&gt; rho            : (<span class="hljs-string">&#x27;time&#x27;</span>, <span class="hljs-string">&#x27;pfull&#x27;</span>, <span class="hljs-string">&#x27;lat&#x27;</span>, <span class="hljs-string">&#x27;lon&#x27;</span>)= (4, 30, 180, 360), density (added postprocessing)  [kg/m3]
+</code></pre>
+<p>The <code>help</code> (<code>-h</code>) option provides information on available variables and needed fields for each operation.</p>
+<p><img src="file:////Users/cbatters/git/amescap-master-planetary-science/AmesCAP/tutorial/tutorial_images/MarsVars.png" alt="Figure X. MarsVars"></p>
+<p><code>MarsVars</code> also offers the following variable operations:</p>
+<table>
+<thead>
+<tr>
+<th>Command</th>
+<th>flag</th>
+<th>action</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td>add</td>
+<td>-add</td>
+<td>add a variable to the file</td>
+</tr>
+<tr>
+<td>remove</td>
+<td>-rm</td>
+<td>remove a variable from a file</td>
+</tr>
+<tr>
+<td>extract</td>
+<td>-extract</td>
+<td>extract a list of variables to a new file</td>
+</tr>
+<tr>
+<td>col</td>
+<td>-col</td>
+<td>column integration, applicable to mixing ratios in [kg/kg]</td>
+</tr>
+<tr>
+<td>zdiff</td>
+<td>-zdiff</td>
+<td>vertical differentiation (e.g. compute gradients)</td>
+</tr>
+<tr>
+<td>zonal_detrend</td>
+<td>-zd</td>
+<td>zonally detrend a variable</td>
+</tr>
+</tbody>
+</table>
+<p><a href="#cheat-sheet">Back to Top</a></p>
+<hr>
+<h1 id="4-marsinterppy---interpolating-the-vertical-grid">4. <code>MarsInterp.py</code> - Interpolating the Vertical Grid</h1>
+<p>Native MGCM output files use a terrain-following pressure coordinate as the vertical coordinate (<code>pfull</code>), which means the geometric heights and the actual mid-layer pressure of atmospheric layers vary based on the location (i.e. between adjacent grid points). In order to do any rigorous spatial averaging, it is therefore necessary to interpolate each vertical column to a same (standard) pressure grid (<code>_pstd</code> grid):</p>
+<p><img src="file:////Users/cbatters/git/amescap-master-planetary-science/AmesCAP/tutorial/tutorial_images/MarsInterp.png" alt="Figure X. MarsInterp"></p>
+<p><em>Pressure interpolation from the reference pressure grid to a standard pressure grid</em></p>
+<p><code>MarsInterp</code> is used to perform the vertical interpolation from <em>reference</em> (<code>pfull</code>) layers to <em>standard</em> (<code>pstd</code>) layers:</p>
+<pre><code class="language-bash">(amesGCM3)&gt;$ MarsInterp.py  00000.atmos_average.nc
+</code></pre>
+<p>An inspection of the file shows that the pressure level axis which was <code>pfull</code> (30 layers) has been replaced by a standard pressure coordinate <code>pstd</code> (36 layers), and all 3- and 4-dimensional variables reflect the new shape:</p>
+<pre><code class="language-bash">(amesGCM3)&gt;$ MarsInterp.py  00000.atmos_average.nc
+(amesGCM3)&gt;$ MarsVars.py 00000.atmos_average_pstd.nc
+&gt;
+&gt; ===================DIMENSIONS==========================
+&gt; [<span class="hljs-string">&#x27;bnds&#x27;</span>, <span class="hljs-string">&#x27;time&#x27;</span>, <span class="hljs-string">&#x27;lat&#x27;</span>, <span class="hljs-string">&#x27;lon&#x27;</span>, <span class="hljs-string">&#x27;scalar_axis&#x27;</span>, <span class="hljs-string">&#x27;phalf&#x27;</span>, <span class="hljs-string">&#x27;pstd&#x27;</span>]
+&gt; ====================CONTENT==========================
+&gt; pstd           : (<span class="hljs-string">&#x27;pstd&#x27;</span>,)= (36,), pressure  [Pa]
+&gt; temp           : (<span class="hljs-string">&#x27;time&#x27;</span>, <span class="hljs-string">&#x27;pstd&#x27;</span>, <span class="hljs-string">&#x27;lat&#x27;</span>, <span class="hljs-string">&#x27;lon&#x27;</span>)= (4, 36, 180, 360), temperature  [K]
+</code></pre>
+<p><code>MarsInterp</code> support 3 types of vertical interpolation, which may be selected by using the <code>--type</code> (<code>-t</code> for short) flag:</p>
+<table>
+<thead>
+<tr>
+<th>file type</th>
+<th>description</th>
+<th>low-level value in a deep crater</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td>_pstd</td>
+<td>standard pressure [Pa] (default)</td>
+<td>1000Pa</td>
+</tr>
+<tr>
+<td>_zstd</td>
+<td>standard altitude [m]</td>
+<td>-7000m</td>
+</tr>
+<tr>
+<td>_zagl</td>
+<td>standard altitude above ground level [m]</td>
+<td>0 m</td>
+</tr>
+</tbody>
+</table>
+<hr>
+<p><strong>Use of custom vertical grids</strong></p>
+<p><code>MarsInterp</code> uses default grids for each of the interpolation listed above but it is possible for the user to specify the layers for the interpolation. This is done by editing a <strong>hidden</strong> file <code>.amesgcm_profile</code>(note the dot '<code>.</code>) in your home directory.</p>
+<p>For the first use, you will need to copy a template of <code>amesgcm_profile</code> to your /home directory:</p>
+<pre><code class="language-bash">(amesGCM3)&gt;$ <span class="hljs-built_in">cp</span> ~/amesGCM3/mars_templates/amesgcm_profile ~/.amesgcm_profile <span class="hljs-comment"># Note the dot &#x27;.&#x27; !!!</span>
+</code></pre>
+<p>You can open <code>~/.amesgcm_profile</code> with any text editor:</p>
+<pre><code>&gt; &lt;&lt;&lt;&lt;&lt;&lt;&lt;&lt;&lt;&lt;&lt;&lt;&lt;&lt;| Pressure definitions for pstd |&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;
+
+&gt;p44=[1.0e+03, 9.5e+02, 9.0e+02, 8.5e+02, 8.0e+02, 7.5e+02, 7.0e+02,
+&gt;       6.5e+02, 6.0e+02, 5.5e+02, 5.0e+02, 4.5e+02, 4.0e+02, 3.5e+02,
+&gt;       3.0e+02, 2.5e+02, 2.0e+02, 1.5e+02, 1.0e+02, 7.0e+01, 5.0e+01,
+&gt;       3.0e+01, 2.0e+01, 1.0e+01, 7.0e+00, 5.0e+00, 3.0e+00, 2.0e+00,
+&gt;       1.0e+00, 5.0e-01, 3.0e-01, 2.0e-01, 1.0e-01, 5.0e-02, 3.0e-02,
+&gt;       1.0e-02, 5.0e-03, 3.0e-03, 5.0e-04, 3.0e-04, 1.0e-04, 5.0e-05,
+&gt;       3.0e-05, 1.0e-05]
+&gt;
+&gt;phalf_mb=[50]
+</code></pre>
+<p>In the example above, the user custom-defined two vertical grids, one with 44 levels (named <code>p44</code>) and one with a single layer at 50 Pa =0.5mbar(named <code>phalf_mb</code>)</p>
+<p>You can use these by calling <code>MarsInterp</code> with the <code>-level</code> (<code>-l</code>) argument followed by the name of the new grid defined in <code>.amesgcm_profile</code>.</p>
+<pre><code class="language-bash">(amesGCM3)&gt;$ MarsInterp.py  00000.atmos_average.nc -t pstd -l  p44
+</code></pre>
+<p><a href="#cheat-sheet">Back to Top</a></p>
+<hr>
+<h1 id="5-marsplotpy---plotting-the-results">5. <code>MarsPlot.py</code> - Plotting the Results</h1>
+<p>The last component of CAP is the plotting routine, <code>MarsPlot</code>, which accepts a modifiable template (<code>Custom.in</code>) containing a list of plots to create. <code>MarsPlot</code> is useful for creating plots from MGCM output quickly, and it is designed specifically for use with the <code>netCDF</code> output files (<code>daily</code>, <code>diurn</code>, <code>average</code>, <code>fixed</code>).</p>
+<p>The following figure shows the three components of MarsPlot:</p>
+<ul>
+<li><em><a href="http://MarsPlot.py">MarsPlot.py</a></em>, opened in <strong>a terminal</strong> to inspect the netcdf files and ingest the <a href="http://Custom.in">Custom.in</a> template</li>
+<li><em><a href="http://Custom.in">Custom.in</a></em> , a template opened in <strong>a text editor</strong></li>
+<li><em>Diagnostics.pdf</em>, refreshed in a <strong>pdf viewer</strong></li>
+</ul>
+<p><img src="file:////Users/cbatters/git/amescap-master-planetary-science/AmesCAP/tutorial/tutorial_images/MarsPlot_graphics.png" alt="Figure 4. MarsPlot workflow"></p>
+<p>The default template, <a href="http://Custom.in">Custom.in</a>, can be created by passing the <code>-template</code> argument to <code>MarsPlot</code>. <a href="http://Custom.in">Custom.in</a> is pre-populated to draw two plots on one page: a topographical plot from the fixed file and a cross-section of the zonal wind from the average file. Creating the template and passing it into <code>MarsPlot</code> creates a PDF containing the plots:</p>
+<pre><code>(amesGCM3)&gt;$ MarsPlot.py -template
+&gt; /path/to/simulation/run_name/history/Custom.in was created
+(amesGCM3)&gt;$
+(amesGCM3)&gt;$ MarsPlot.py Custom.in
+&gt; Reading Custom.in
+&gt; [----------]  0 % (2D_lon_lat :fixed.zsurf)
+&gt; [#####-----] 50 % (2D_lat_lev :atmos_average.ucomp, Ls= (MY 2) 252.30, zonal avg)
+&gt; [##########]100 % (Done)
+&gt; Merging figures...
+&gt; /path/to/simulation/run_name/history/Diagnostics.pdf was generated
+</code></pre>
+<p>Specifically MarsPlot is designed to generate 2D cross - sections and 1D plots.
+Let's remind ourselves that in order to create such plots from a <strong>multi-dimensional</strong> dataset, we first need to specify the <strong>free</strong> dimensions, meaning the ones that are <strong>not</strong> plotted.</p>
+<p><img src="file:////Users/cbatters/git/amescap-master-planetary-science/AmesCAP/tutorial/tutorial_images/cross_sections.png" alt="Figure 4. MarsPlot cross section"></p>
+<p><em>A refresher on cross-section for multi-dimensional datasets</em></p>
+<p>The data selection process to make any particular cross section is shown in the decision tree below. If an effort to make the process of generating multiple plots as <strong>streamlined</strong> as possible, MarsPlot selects a number of default settings for the user.</p>
+<pre><code>1.     Which simulation                                              ┌─
+    (e.g. ACTIVECLDS directory)                                      │  DEFAULT    1. ref&gt; is current directory
+          │                                                          │  SETTINGS
+          └── 2.   Which XXXXX epoch                                 │             2. latest XXXXX.fixed in directory
+               (e.g. 00668, 07180)                                   └─
+                   │                                                 ┌─
+                   └── 3.   Which type of file                       │
+                        (e.g. diurn, average_pstd)                   │   USER      3. provided by user
+                            │                                        │ PROVIDES
+                            └── 4.   Which variable                  │             4. provided by user
+                                  (e.g. temp, ucomp)                 └─
+                                    │                                ┌─
+                                    └── 5. Which dimensions          │             5. see rule table below
+                                       (e.g lat =0°,Ls =270°)        │  DEFAULT
+                                           │                         │  SETTINGS
+                                           └── 6. plot customization │             6. default settings
+                                                  (e.g. colormap)    └─              
+
+</code></pre>
+<p>The free dimensions are set by default using day-to-day decisions from a climate modeler's perspective:</p>
+<table>
+<thead>
+<tr>
+<th>Free dimension</th>
+<th>Statement for default setting</th>
+<th>Implementation</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td>time</td>
+<td>&quot;<em>I am interested in the most recent events</em>&quot;</td>
+<td>time = Nt (last timestep)</td>
+</tr>
+<tr>
+<td>level</td>
+<td>&quot;<em>I am more interested in the surface than any other vertical layer</em>&quot;</td>
+<td>level = sfc</td>
+</tr>
+<tr>
+<td>latitude</td>
+<td>&quot;<em>If I have to pick a particular latitude, I would rather look at the equator</em>&quot;</td>
+<td>lat=0 (equator)</td>
+</tr>
+<tr>
+<td>longitude</td>
+<td>&quot;<em>I am more interested in a zonal average than any particular longitude</em>&quot;</td>
+<td>lon=all (average over all values)</td>
+</tr>
+<tr>
+<td>time of day</td>
+<td>&quot;<em>3pm =15hr Ok, this one is arbitrary. However if I use a diurn file, I  have a specific time of day in mind</em>&quot;</td>
+<td>tod=15</td>
+</tr>
+</tbody>
+</table>
+<p><em>Rule table for the default settings of the free dimensions</em></p>
+<p>In practice, these cases cover 99% of the work typically done so whenever a setting is left to default (<code>= None</code> in MarsPlot's syntax) this is what is being used. This allows to considerably streamline the data selection process.</p>
+<p><code>Custom.in</code> can be modified using your preferred text editor (and renamed to your liking). This is an example of the code snippet in <code>Custom.in</code> used to generate a lon/lat cross-section. Note that the heading is set to <code>= True</code>, so that plot is activated for MarsPlot to process.</p>
+<pre><code class="language-python">&lt;&lt;&lt;&lt;&lt;&lt;&lt;&lt;&lt;&lt;&lt;&lt;&lt;&lt;| Plot 2D lon X lat = <span class="hljs-literal">True</span> |&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;
+Title          = <span class="hljs-literal">None</span>
+Main Variable  = atmos_average.temp
+Cmin, Cmax     = <span class="hljs-literal">None</span>
+Ls <span class="hljs-number">0</span>-<span class="hljs-number">360</span>       = <span class="hljs-literal">None</span>
+Level [Pa/m]   = <span class="hljs-literal">None</span>
+2nd Variable   = <span class="hljs-literal">None</span>
+Contours Var <span class="hljs-number">2</span> = <span class="hljs-literal">None</span>
+Axis Options  : lon = [<span class="hljs-literal">None</span>,<span class="hljs-literal">None</span>] | lat = [<span class="hljs-literal">None</span>,<span class="hljs-literal">None</span>] | cmap = jet | scale = lin | proj = cart
+
+</code></pre>
+<p>In the example above, we are plotting the air temperature field <code>temp</code> from the <em>atmos_average.nc</em> file as a lon/lat map. <code>temp</code> is a 4D field <em>(time, level, lat, lon)</em> but since we left the time (<code>Ls 0-360</code>) and altitude (<code>Level [Pa/m]</code>) unspecified (i.e. set to <code>None</code>) MarsPlot  will show us the <em>last timestep</em> in the file and the layer immediately adjacent to the <em>surface</em>. Similarly, MarsPlot will generate a <em>default title</em> for the figure with the variable's name (<code>temperature</code>), unit (<code>[K]</code>), selected dimensions (<code>last timestep, at the surface</code>), and makes educated choices for the range of the colormap, axis limits etc ... All those options are customizable, if desired.  Finally, note the option of adding a secondary variable as <strong>solid contours</strong>. For example, one may set <code>2nd Variable = fixed.zsurf</code> to plot the topography (<code>zsurf</code>) from the matching <em><a href="http://XXXXX.fixed.nc">XXXXX.fixed.nc</a></em> file.</p>
+<p>To wrap-up (the use of <code>{}</code> to overwrite default settings is discussed later on), the following two working expressions are strictly equivalent for <code>Main Variable = </code> (shaded contours) or <code>2nd Variable = </code> (solid contours) fields:</p>
+<pre><code class="language-python">                     variable                                        variable
+                        │                     SIMPLIFY TO               │
+<span class="hljs-number">00668.</span>atmos_average@<span class="hljs-number">1.</span>temp{lev=<span class="hljs-number">1000</span>;ls=<span class="hljs-number">270</span>}     &gt;&gt;&gt;      atmos_average.temp
+  │         │       │              │                           │
+epoch  file <span class="hljs-built_in">type</span> simulation    free dimensions             file <span class="hljs-built_in">type</span>
+                 directory
+</code></pre>
+<p>These are the four types of accepted entries for the free dimensions:</p>
+<table>
+<thead>
+<tr>
+<th>Accepted input</th>
+<th>Meaning</th>
+<th>Example</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td><code>None</code></td>
+<td>Use default settings from the rule table above</td>
+<td><code>Ls 0-360 = None</code></td>
+</tr>
+<tr>
+<td><code>value</code></td>
+<td>Return index closest to requested value in the figure'sunit</td>
+<td><code>Level [Pa/m]  = 50 </code> (50 Pa)</td>
+</tr>
+<tr>
+<td><code>Val Min, Val Max</code></td>
+<td>Return the average between two values</td>
+<td><code>Lon +/-180 = -30,30</code></td>
+</tr>
+<tr>
+<td><code>all</code></td>
+<td><code>all</code> is a special keyword that return the average over all values along that dimension</td>
+<td><code>Latitude       = all</code></td>
+</tr>
+</tbody>
+</table>
+<p><em>Accepted values for the <code>Ls 0-360</code>, <code>Level [Pa/m]</code> ,<code>Lon +/-180</code>, <code>Latitude</code> and time of day free dimensions</em></p>
+<blockquote>
+<p>The time of day (<code>tod</code>) in diurn files is always specified using brackets<code>{}</code>, e.g. : <code>Main Variable = atmos_diurn.temp{tod=15,18}</code> for the average between 3pm and 6pm. This has allowed to streamlined all templates by not including the <em>time of day</em> free dimension, which is specific to diurn files.</p>
+</blockquote>
+<h1 id="marsplotpy--how-to"><a href="http://MarsPlot.py">MarsPlot.py</a>:  How to?</h1>
+<p>This section discusses MarsPlot capabilities. Note that a compact version of these instructions is present as comment at the very top of a new <code>Custom.in</code> and can be used as a quick reference:</p>
+<pre><code class="language-python">===================== |MarsPlot V3<span class="hljs-number">.2</span>|===================
+<span class="hljs-comment"># QUICK REFERENCE:</span>
+<span class="hljs-comment"># &gt; Find the matching  template for the desired plot type. Do not edit any labels left of any &#x27;=&#x27; sign</span>
+<span class="hljs-comment"># &gt; Duplicate/remove any of the &lt;&lt;&lt;&lt; blocks&gt;&gt;&gt;&gt;, skip by setting &lt;&lt;&lt;&lt; block = False &gt;&gt;&gt;&gt;</span>
+<span class="hljs-comment"># &gt; &#x27;True&#x27;, &#x27;False&#x27; and &#x27;None&#x27; are capitalized. Do not use quotes &#x27;&#x27; anywhere in this file</span>
+etc...
+</code></pre>
+<h2 id="inspect-the-content-of-netcdf-files">Inspect the content of netCDF files</h2>
+<p>A handy function is MarsPlot's <code>--inspect</code> (<code>-i</code> for short) command which displays the content of a netCDF file:</p>
+<pre><code class="language-bash">(amesGCM3)&gt; MarsPlot.py -i 07180.atmos_average.nc
+
+&gt; ===================DIMENSIONS==========================
+&gt; [<span class="hljs-string">&#x27;lat&#x27;</span>, <span class="hljs-string">&#x27;lon&#x27;</span>, <span class="hljs-string">&#x27;pfull&#x27;</span>, <span class="hljs-string">&#x27;phalf&#x27;</span>, <span class="hljs-string">&#x27;zgrid&#x27;</span>, <span class="hljs-string">&#x27;scalar_axis&#x27;</span>, <span class="hljs-string">&#x27;time&#x27;</span>]
+&gt; [...]
+&gt; ====================CONTENT==========================
+&gt; pfull          : (<span class="hljs-string">&#x27;pfull&#x27;</span>,)= (24,), ref full pressure level  [Pa]
+&gt; temp           : (<span class="hljs-string">&#x27;time&#x27;</span>, <span class="hljs-string">&#x27;pfull&#x27;</span>, <span class="hljs-string">&#x27;lat&#x27;</span>, <span class="hljs-string">&#x27;lon&#x27;</span>)= (10, 24, 36, 60), temperature  [K]
+&gt; ucomp          : (<span class="hljs-string">&#x27;time&#x27;</span>, <span class="hljs-string">&#x27;pfull&#x27;</span>, <span class="hljs-string">&#x27;lat&#x27;</span>, <span class="hljs-string">&#x27;lon&#x27;</span>)= (10, 24, 36, 60), zonal wind  [m/sec]
+&gt; [...]
+</code></pre>
+<blockquote>
+<p>Note that the <code>-i</code> method works with any netCDF file, not just the ones generated by CAP</p>
+</blockquote>
+<p>The <code>--inspect</code> method can be combined with the <code>--dump</code> flag which is most useful to show the content of specific 1D arrays in the terminal.</p>
+<pre><code class="language-bash">(amesGCM3)&gt;$ MarsPlot.py -i 07180.atmos_average.nc -dump pfull
+&gt; pfull=
+&gt; [8.7662227e-02 2.5499690e-01 5.4266089e-01 1.0518962e+00 1.9545468e+00
+&gt; 3.5580616e+00 6.2466631e+00 1.0509957e+01 1.7400265e+01 2.8756382e+01
+&gt; 4.7480076e+01 7.8348366e+01 1.2924281e+02 2.0770235e+02 3.0938846e+02
+&gt; 4.1609518e+02 5.1308148e+02 5.9254102e+02 6.4705731e+02 6.7754218e+02
+&gt; 6.9152936e+02 6.9731799e+02 6.9994830e+02 7.0082477e+02]
+&gt; ______________________________________________________________________
+</code></pre>
+<p>The <code>--stat</code> flag is better suited to inspect large, multi-dimensional arrays. You can also request specific array indexes using quotes and square brackets <code>'[]'</code>:</p>
+<pre><code class="language-bash">(amesGCM3)&gt;$  MarsPlot.py -i 07180.atmos_average.nc --<span class="hljs-built_in">stat</span> ucomp <span class="hljs-string">&#x27;temp[:,-1,:,:]&#x27;</span>
+__________________________________________________________________________
+           VAR            |      MIN      |      MEAN     |      MAX      |
+__________________________|_______________|_______________|_______________|
+                     ucomp|        -102.98|        6.99949|        192.088|
+            temp[:,-1,:,:]|        149.016|        202.508|         251.05|
+__________________________|_______________|_______________|_______________|
+</code></pre>
+<blockquote>
+<p><code>-1</code> refers to the last element in the that axis, following Python's indexing convention</p>
+</blockquote>
+<hr>
+<h2 id="disable-or-add-a-new-plot">Disable or add a new plot</h2>
+<p>Code blocks set to <code>= True</code> instruct <code>MarsPlot</code> to draw those plots. Other templates in <code>Custom.in</code> are set to <code>= False</code> by default, which instructs <code>MarsPlot</code> to skip those plots. In total, <code>MarsPlot</code> is equipped to create seven plot types:</p>
+<pre><code class="language-python">&lt;&lt;&lt;&lt;&lt;| Plot 2D lon X lat  = <span class="hljs-literal">True</span> |&gt;&gt;&gt;&gt;&gt;
+&lt;&lt;&lt;&lt;&lt;| Plot 2D lon X time = <span class="hljs-literal">True</span> |&gt;&gt;&gt;&gt;&gt;
+&lt;&lt;&lt;&lt;&lt;| Plot 2D lon X lev  = <span class="hljs-literal">True</span> |&gt;&gt;&gt;&gt;&gt;
+&lt;&lt;&lt;&lt;&lt;| Plot 2D lat X lev  = <span class="hljs-literal">True</span> |&gt;&gt;&gt;&gt;&gt;
+&lt;&lt;&lt;&lt;&lt;| Plot 2D time X lat = <span class="hljs-literal">True</span> |&gt;&gt;&gt;&gt;&gt;
+&lt;&lt;&lt;&lt;&lt;| Plot 2D time X lev = <span class="hljs-literal">True</span> |&gt;&gt;&gt;&gt;&gt;
+&lt;&lt;&lt;&lt;&lt;| Plot 1D            = <span class="hljs-literal">True</span> |&gt;&gt;&gt;&gt;&gt; <span class="hljs-comment"># Any 1D Plot Type (Dimension x Variable)</span>
+</code></pre>
+<h2 id="adjust-the-color-range--and-colormap">Adjust the color range  and colormap</h2>
+<p><code>Cmin, Cmax</code> (and <code>Contours Var 2</code>) are how the contours are set for the shaded (and solid) contours. If only two values are included, MarsPlot use 24 contours spaced between the max and min values. If more than two values are provided, MarsPlot will use those individual contours.</p>
+<pre><code class="language-python">Main Variable  = atmos_average.temp     <span class="hljs-comment"># filename.variable *REQUIRED</span>
+Cmin, Cmax     = <span class="hljs-number">240</span>,<span class="hljs-number">290</span>                <span class="hljs-comment"># Colorbar limits (minimum, maximum)</span>
+2nd Variable   = atmos_average.ucomp    <span class="hljs-comment"># Overplot U winds</span>
+Contours Var <span class="hljs-number">2</span> = -<span class="hljs-number">200</span>,-<span class="hljs-number">100</span>,<span class="hljs-number">100</span>,<span class="hljs-number">200</span>      <span class="hljs-comment"># List of contours for 2nd Variable or CMIN, CMAX</span>
+Axis Options  : Ls = [<span class="hljs-literal">None</span>,<span class="hljs-literal">None</span>] | lat = [<span class="hljs-literal">None</span>,<span class="hljs-literal">None</span>] | cmap = jet |scale = lin
+</code></pre>
+<p>Note the option of setting the contour spacing linearly <code>scale = lin</code> or logarithmically (<code>scale = log</code>) if the range of values spans multiple order of magnitudes.</p>
+<p>The default colormap <code>cmap = jet</code> may be changed using any Matplotlib colormaps. A selections of those are listed below:</p>
+<p><img src="file:////Users/cbatters/git/amescap-master-planetary-science/AmesCAP/tutorial/tutorial_images/all_colormaps.png" alt="Figure 4. MarsPlot workflow"></p>
+<p>Finally, note the use of the <code>_r</code> suffix (reverse) to reverse the order of the colormaps listed in the figure above. From example, using <code>cmap = jet</code> would have colors spanning from <em>blue</em> &gt; <em>red</em>  and <code>cmap = jet_r</code> <em>red</em> &gt; <em>blue</em> instead</p>
+<p><em>Supported colormaps in Marsplot. The figure was generated using code from <a href="https://scipy-lectures.org/intro/matplotlib/auto_examples/options/plot_colormaps.html">the scipy webpage</a> .</em></p>
+<hr>
+<h2 id="make-a-1d-plot">Make a 1D-plot</h2>
+<p>The 1D plot template is different from the others in a few key ways:</p>
+<ul>
+<li>Instead of <code>Title</code>, the template requires a <code>Legend</code>. When overploting several 1D variables on top of one another, the legend option will label them instead of changing the plot title.</li>
+<li>There is an additional <code>linestyle</code> axis option for the 1D plot.</li>
+<li>There is also a <code>Diurnal</code> option. The <code>Diurnal</code> input can only be <code>None</code> or <code>AXIS</code>, since there is syntax for selecting a specific time of day using parenthesis (e.g. <code>atmos_diurn.temp{tod=15}</code>) The <code>AXIS</code> label tells <code>MarsPlot</code> which dimension serves as the X axis. <code>Main Variable</code> will dictate the Y axis.</li>
+</ul>
+<blockquote>
+<p>Some plots like vertical profiles and latitude plots use instead Y as the primary axis and plot the variable on the X axis</p>
+</blockquote>
+<pre><code class="language-python">&lt;&lt;&lt;&lt;&lt;&lt;&lt;&lt;&lt;&lt;&lt;&lt;&lt;&lt;| Plot 1D = <span class="hljs-literal">True</span> |&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;
+Legend         = <span class="hljs-literal">None</span>                   <span class="hljs-comment"># Legend instead of Title</span>
+Main Variable  = atmos_average.temp
+Ls <span class="hljs-number">0</span>-<span class="hljs-number">360</span>       = AXIS                   <span class="hljs-comment">#       Any of these can be selected</span>
+Latitude       = <span class="hljs-literal">None</span>                   <span class="hljs-comment">#       as the X axis dimension, and</span>
+Lon +/-<span class="hljs-number">180</span>     = <span class="hljs-literal">None</span>                   <span class="hljs-comment">#       the free dimensions can accept</span>
+Level [Pa/m]   = <span class="hljs-literal">None</span>                   <span class="hljs-comment">#       values as before. However,</span>
+Diurnal  [hr]  = <span class="hljs-literal">None</span>                   <span class="hljs-comment">#   ** Diurnal can ONLY be AXIS or None **</span>
+</code></pre>
+<h2 id="customize-1d-plots">Customize 1D plots</h2>
+<p><code>Axis Options</code> specify the axes limits, and linestyle  1D-plot:</p>
+<table>
+<thead>
+<tr>
+<th>1D plot option</th>
+<th>Usage</th>
+<th>Example</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td><code>lat,lon+/-180,[Pa/m],sols = [None,None]</code></td>
+<td>range for X or Y axes limit depending on the plot type</td>
+<td><code>lat,lon+/-180,[Pa/m],sols = [1000,0.1]</code></td>
+</tr>
+<tr>
+<td><code>var = [None,None]</code></td>
+<td>range for the plotted variable on the other axis</td>
+<td><code>var = [120,250]</code></td>
+</tr>
+<tr>
+<td><code>linestyle = - </code></td>
+<td>Line style following matplotlib's convention</td>
+<td><code>linestyle = -ob</code> (solid line &amp; blue circular markers)</td>
+</tr>
+<tr>
+<td><code>axlabel = None</code></td>
+<td>Change the default name for the axis</td>
+<td><code>axlabel = New Temperature [K]</code></td>
+</tr>
+</tbody>
+</table>
+<p>Here is a sample of colors, linestyles and marker styles that can be used in 1D-plots</p>
+<p><img src="file:////Users/cbatters/git/amescap-master-planetary-science/AmesCAP/tutorial/tutorial_images/linestyles.png" alt="Figure 4. MarsPlot workflow"></p>
+<p><em>Supported styles for 1D plots. This figure was also generated using code from <a href="https://scipy-lectures.org">scipy-lectures.org</a></em></p>
+<hr>
+<h2 id="put-multiple-plots-on-the-same-page">Put multiple plots on the same page</h2>
+<p>You can sandwich any number of plots between the <code>HOLD ON</code> and <code>HOLD OFF</code> keywords to group figures on the same page.</p>
+<pre><code>&gt; HOLD ON
+&gt;
+&gt; &lt;&lt;&lt;&lt;&lt;&lt;| Plot 2D lon X lat = True |&gt;&gt;&gt;&gt;&gt;&gt;
+&gt; Title    = Surface CO2 Ice (g/m2)
+&gt; .. (etc) ..
+&gt;
+&gt; &lt;&lt;&lt;&lt;&lt;&lt;| Plot 2D lon X lat = True |&gt;&gt;&gt;&gt;&gt;&gt;
+&gt; Title    = Surface Wind Speed (m/s)
+&gt; .. (etc) ..
+&gt;
+&gt; HOLD OFF
+</code></pre>
+<p>By default, MarsPlot will use a default layout for the plots, this can be modified by adding the desired number of lines and number of columns, separated by a comma: <code>HOLD ON 4,3</code> will organize the figure with a 4 -lines and 3-column layout.</p>
+<p>Note that <a href="http://Custom.in">Custom.in</a> comes with two plots pre-loaded on the same page.</p>
+<hr>
+<h2 id="put-multiple-1d-plots-on-the-same-page">Put multiple 1D-plots on the same page</h2>
+<p>Similarly adding the <code>ADD LINE</code> keywords between two (or more) templates can be used to place multiple 1D plots on the same figure.</p>
+<pre><code>&gt; &lt;&lt;&lt;&lt;&lt;&lt;| Plot 1D = True |&gt;&gt;&gt;&gt;&gt;&gt;
+&gt; Main Variable    = var1
+&gt; .. (etc) ..
+&gt;
+&gt; ADD LINE
+&gt;
+&gt; &lt;&lt;&lt;&lt;&lt;&lt;| Plot 1D = True |&gt;&gt;&gt;&gt;&gt;&gt;
+&gt; Main Variable    = var2
+&gt; .. (etc) ..
+</code></pre>
+<blockquote>
+<p>Note that if you combine <code>HOLD ON/HOLD OFF</code> and <code>ADD LINE</code> to create a 1D figure with several sub-plots on a <strong>multi-figure page</strong>, the 1D plot has to be the LAST (and only 1D-figure with sub-plots) on that page.</p>
+</blockquote>
+<hr>
+<h2 id="use-a-different-epoch">Use a different epoch</h2>
+<p>If you have run a GCM simulation for a long time, you may have several files of the same type, e.g. :</p>
+<pre><code>00000.fixed.nc          00100.fixed.nc         00200.fixed.nc         00300.fixed.nc
+00000.atmos_average.nc  00100.atmos_average.nc 00200.atmos_average.nc 00300.atmos_average.nc
+</code></pre>
+<p>By default MarsPlot counts the <code>fixed</code> files in the directory and run the analysis on the last set of files, <code>00300.fixed.nc</code> and <code>00300.atmos_average.nc</code> in our example. Even though you may specify the epoch for each plot (e.g. <code>Main Variable  = 00200.atmos_average.temp</code> for the file starting at 200 sols), it is more convenient to leave the epoch out of the <a href="http://Custom.in">Custom.in</a> and instead pass the <code>-date</code> argument to MarsPlot.</p>
+<pre><code class="language-bash">MarsPlot.py Custom.<span class="hljs-keyword">in</span> -d 200
+</code></pre>
+<blockquote>
+<p><code>-date</code> also accepts a range of sols, e.g. <code>MarsPlot.py Custom.in -d 100 300</code> which will run the plotting routine across multiple files.</p>
+</blockquote>
+<p>When creating 1D plots of data spanning multiple years, you can overplot consecutive years on top of the other instead of sequentially by calling <code>--stack_year</code> (<code>-sy</code>) when submitting the template to <code>MarsPlot</code>.</p>
+<hr>
+<h2 id="access-simulation-in-a-different-directory">Access simulation in a different directory</h2>
+<p>At the beginning of <code>MarsPlot</code> is the <code>&lt;&lt;&lt; Simulations &gt;&gt;&gt;</code> block which, is used to point <code>MarsPlot</code> to different directories containing MGCM outputs. When set to <code>None</code>, <code>ref&gt;</code> (the simulation directory number <code>@1</code>, optional in the templates) refers to the <strong>current</strong> directory:</p>
+<pre><code class="language-python">&lt;&lt;&lt;&lt;&lt;&lt;&lt;&lt;&lt;&lt;&lt;&lt;&lt;&lt;&lt;&lt;&lt;&lt;&lt;&lt;&lt;&lt; Simulations &gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;
+ref&gt; <span class="hljs-literal">None</span>
+<span class="hljs-number">2</span>&gt; /path/to/another/sim                            <span class="hljs-comment"># another simulation</span>
+<span class="hljs-number">3</span>&gt;
+=======================================================
+</code></pre>
+<p>Only 3 simulations have place holders but you can add additional ones if you would like (e.g. <code>4&gt; ...</code> )
+To access a variable from a file in another directory, just point to the correct simulation when calling <code>Main Variable</code> (or <code>2nd Variable</code>) using the <code>@</code> character:</p>
+<pre><code class="language-python">Main Variable  = XXXXX.filename@N.variable`
+</code></pre>
+<p>Where <code>N</code> is the number in <code>&lt;&lt;&lt; Simulations &gt;&gt;&gt;</code> corresponding the the correct path.</p>
+<hr>
+<h2 id="overwrite-the-free-dimensions">Overwrite the free dimensions.</h2>
+<p>By default, MarsPlot uses the free dimensions provided in each template (<code>Ls 0-360</code> and <code>Level [Pa/m]</code> in the example below) to reduce the data for both the <code>Main Variable</code> and the <code>2nd Variable</code>. You can overwrite this behavior by using parenthesis <code>{}</code>, containing a list of specific free dimensions separated by semi-colons <code>;</code> The free dimensions within the <code>{}</code> parenthesis will ultimately be the last one selected. In the example below,  <code>Main Variable</code> (shaded contours) will use a solar longitude of 270° and a pressure of 10 Pa, but the <code>2nd Variable</code> (solid contours) will use the average of solar longitudes between 90° and 180° and a pressure of 50 Pa.</p>
+<pre><code class="language-python">&lt;&lt;&lt;&lt;&lt;&lt;&lt;&lt;&lt;&lt;&lt;&lt;&lt;&lt;| Plot 2D lon X lat = <span class="hljs-literal">True</span> |&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;&gt;
+...
+Main Variable  = atmos_average.var
+...
+Ls <span class="hljs-number">0</span>-<span class="hljs-number">360</span>       = <span class="hljs-number">270</span>
+Level [Pa/m]   = <span class="hljs-number">10</span>
+2nd Variable   = atmos_average.var{ls=<span class="hljs-number">90</span>,<span class="hljs-number">180</span>;lev=<span class="hljs-number">50</span>}
+</code></pre>
+<blockquote>
+<p>Keywords for the dimensions are <code>ls</code>, <code>lev</code>, <code>lon</code>, <code>lat</code> and <code>tod</code>. Accepted entries are <code>Value</code> (closest), <code>Valmin,Valmax</code> (average between two values) and <code>all</code> (average over all values)</p>
+</blockquote>
+<h2 id="element-wise-operations">Element-wise operations</h2>
+<p>You can encompass variables between square brackets <code>[]</code> to perform element-wise operations, which is useful to compare simulations, apply scaling etc... MarsPlot will first load each variables encompassed with the brackets, and then apply the algebraic expression outside the <code>[]</code> before plotting.</p>
+<p>These are examples of potential applications:</p>
+<pre><code> &gt; Main Variable  = [fixed.zsurf]/(10.**3)                            (convert topography from [m] to [km])
+ &gt; Main Variable  = [atmos_average.taudust_IR]/[atmos_average.ps]*610 (normalize the dust opacity)     
+ &gt; Main Variable  = [atmos_average.temp]-[atmos_average@2.temp]       (temp. difference between ref simu and simu 2)
+ &gt; Main Variable  = [atmos_average.temp]-[atmos_average.temp{lev=10}] (temp. difference between the default (near surface) and the 10 Pa level
+</code></pre>
+<hr>
+<h2 id="code-comments-and-speed-up-processing">Code comments and speed-up processing</h2>
+<p>Comments are preceded by <code>#</code>, following python's convention. Each <code>&lt;&lt;&lt;&lt;| block |&gt;&gt;&gt;&gt;</code> must stay integral so comments may be inserted between templates or comment all lines of the template (which is why it is generally easier to simply set the <code>&lt;&lt;&lt;&lt;| block = False |&gt;&gt;&gt;&gt;</code>) but not within a template.</p>
+<p>You will notice the <code>START</code> key word at the very beginning of the template.</p>
+<pre><code>=======================================================
+START
+</code></pre>
+<p>This instructs MarsPlot to start parsing templates at this point. If you are already happy with multiple plots, you can move the <code>START</code> keyword further down in the <a href="http://Custom.in">Custom.in</a> to skip those first plots instead of setting those to <code>&lt;&lt;&lt;&lt;| Plot  = False |&gt;&gt;&gt;&gt;</code> individually. When you are done with your analysis, simply move <code>START</code> back to the top to generate a pdf with all the plots.</p>
+<p>Similarly, you can use the keyword <code>STOP</code> (which is not initially present in <a href="http://Custom.in">Custom.in</a>) to stop the parsing of templates. In this case, the only plots processed would be the ones between <code>START</code> and <code>STOP</code>.</p>
+<hr>
+<h2 id="change-projections">Change projections</h2>
+<p>For <code>Plot 2D lon X lat</code> figures, MarsPlot supports 3 types of cylindrical projections : <code>cart</code> (cartesian), <code>robin</code> (robinson), <code>moll</code> (mollweide), and 3 types of azimuthal projections: <code>Npole</code> (north polar), <code>Spole</code> (south polar) and <code>ortho</code> (orthographic).</p>
+<p><img src="file:////Users/cbatters/git/amescap-master-planetary-science/AmesCAP/tutorial/tutorial_images/projections.png" alt="Figure 4. MarsPlot workflow">
+<em>(Top) cylindrical projection <code>cart</code>, <code>robin</code> and <code>moll</code>. (Bottom) azimuthal projections <code>Npole</code>, <code>Spole</code> and <code>ortho</code></em></p>
+<p>The azimuthal projections accept optional arguments as follows:</p>
+<pre><code>proj = Npole lat_max                   # effectively zoom in/out on the North pole
+proj = Spole lat_min                   # effectively zoom in/out on the South pole
+proj = ortho lon_center, lat_center    # rotate the globe
+</code></pre>
+<hr>
+<h2 id="figure-format-size">Figure format, size</h2>
+<ul>
+<li>As shown in the <code>-help</code> documentation of MarsPlot, the output format for the figure is chosen using the <code>--output</code> (<code>-o</code>) flag between <em>pdf</em> (default, requires the ghostscript software), <em>png</em>, or <em>eps</em>.</li>
+<li>The <code>-pw</code> (pixel width) flag can be use to change the  page width from its default value of 2000 pixels.</li>
+<li>The <code>--vertical</code> (<code>-vert</code>) can be use to make the pages vertical instead of horizontal</li>
+</ul>
+<hr>
+<h2 id="access-cap-libraries-and-make-your-own-plots">Access CAP libraries and make your own plots</h2>
+<p>CAP libraries are located (and documented) in <code>FV3_utils.py</code>. Spectral utilities are located in <code>Spectral_utils.py</code>,  classes to parse fortran binaries and generate netCDf files are located in <code>Ncdf_wrapper.py</code></p>
+<p>The following code demonstrate how one can access CAP libraries and make plots for its own analysis:</p>
+<pre><code class="language-python3">#======================= Import python packages ================================
+import numpy as np                          # for array operations
+import matplotlib.pyplot as plt             # python plotting library
+from netCDF4 import Dataset                 # to read .nc files
+#===============================================================================
+
+# Open a fixed.nc file, read some variables and close it.
+f_fixed=Dataset('/path_to_file/00000.fixed.nc','r')
+lon=f_fixed.variables['lon'][:]
+lat=f_fixed.variables['lat'][:]
+zsurf=f_fixed.variables['zsurf'][:]  
+f_fixed.close()
+
+# Open a dataset and read the 'variables' attribute from the NETCDF FILE
+f_average_pstd=Dataset('/path_to_file/00000.atmos_average_pstd.nc','r')
+vars_list     =f_average_pstd.variables.keys()
+print('The variables in the atmos files are: ',vars_list)
+
+# Read the 'shape' and 'units' attribute from the temperature VARIABLE
+Nt,Nz,Ny,Nx = f_average_pstd.variables['temp'].shape
+units_txt   = f_average_pstd.variables['temp'].units
+print('The data dimensions are Nt,Nz,Ny,Nx=',Nt,Nz,Ny,Nx)
+# Read the pressure, time, and the temperature for an equatorial cross section
+pstd       = f_average_pstd.variables['pstd'][:]   
+areo       = f_average_pstd.variables['areo'][0] #solar longitude for the 1st timestep
+temp       = f_average_pstd.variables['temp'][0,:,18,:] #time, press, lat, lon
+f_average_pstd.close()
+
+# Get the latitude of the cross section.
+lat_cross=lat[18]
+
+# Example of accessing  functions from the Ames Pipeline if we wanted to plot
+# the data  in a different coordinate system  (0&gt;360 instead of +/-180 )
+#----
+from amesgcm.FV3_utils import lon180_to_360,shiftgrid_180_to_360
+lon360=lon180_to_360(lon)
+temp360=shiftgrid_180_to_360(lon,temp)
+
+# Define some contours for plotting
+conts= np.linspace(150,250,32)
+
+#Create a figure with the data
+plt.close('all')
+ax=plt.subplot(111)
+plt.contourf(lon,pstd,temp,conts,cmap='jet',extend='both')
+plt.colorbar()
+# Axis labeling
+ax.invert_yaxis()
+ax.set_yscale(&quot;log&quot;)
+plt.xlabel('Longitudes')
+plt.ylabel('Pressure [Pa]')
+plt.title('Temperature [%s] at Ls %03i, lat= %.2f '%(units_txt,areo,lat_cross))
+plt.show()
+</code></pre>
+<p>will produce the following image:</p>
+<p><img src="file:////Users/cbatters/git/amescap-master-planetary-science/AmesCAP/docs/demo_figure.png" alt=""></p>
+<hr>
+<h2 id="debugging">Debugging</h2>
+<p><code>MarsPlot</code> is designed to make plotting MGCM output easier and faster so it handles missing data and many errors by itself. It reports errors both in the terminal and in the generated figures. To by-pass this behavior (when debugging), use the  <code>--debug</code> option with <code>MarsPlot</code> which will raise standard Python errors and stop the execution. One thing to always look for are typo/syntax errors in the template so you may want to cross-check your current plot against a pristine (empty) template.</p>
+<blockquote>
+<p>Note that the errors raised with the <code>--debug</code> flag may reference to <code>MarsPlot</code> internal classes so they may not always be self-explanatory.</p>
+</blockquote>
+<p><a href="#cheat-sheet">Back to Top</a></p>
+<hr>
+</div>
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+/* From extension bierner.markdown-mermaid */
+/*! For license information please see index.bundle.js.LICENSE.txt */
+(()=>{var t={7967:(t,e)=>{"use strict";e.N=void 0;var n=/^([^\w]*)(javascript|data|vbscript)/im,i=/&#(\w+)(^\w|;)?/g,r=/&(newline|tab);/gi,a=/[\u0000-\u001F\u007F-\u009F\u2000-\u200D\uFEFF]/gim,o=/^.+(:|&colon;)/gim,s=[".","/"];e.N=function(t){var e,c=(e=t||"",e.replace(i,(function(t,e){return String.fromCharCode(e)}))).replace(r,"").replace(a,"").trim();if(!c)return"about:blank";if(function(t){return s.indexOf(t[0])>-1}(c))return c;var u=c.match(o);if(!u)return c;var l=u[0];return n.test(l)?"about:blank":c}},4182:function(t,e,n){var i;i=function(t){return function(t){var e={};function n(i){if(e[i])return e[i].exports;var r=e[i]={i,l:!1,exports:{}};return t[i].call(r.exports,r,r.exports,n),r.l=!0,r.exports}return n.m=t,n.c=e,n.i=function(t){return t},n.d=function(t,e,i){n.o(t,e)||Object.defineProperty(t,e,{configurable:!1,enumerable:!0,get:i})},n.n=function(t){var e=t&&t.__esModule?function(){return t.default}:function(){return t};return n.d(e,"a",e),e},n.o=function(t,e){return Object.prototype.hasOwnProperty.call(t,e)},n.p="",n(n.s=7)}([function(e,n){e.exports=t},function(t,e,n){"use strict";var i=n(0).FDLayoutConstants;function r(){}for(var a in i)r[a]=i[a];r.DEFAULT_USE_MULTI_LEVEL_SCALING=!1,r.DEFAULT_RADIAL_SEPARATION=i.DEFAULT_EDGE_LENGTH,r.DEFAULT_COMPONENT_SEPERATION=60,r.TILE=!0,r.TILING_PADDING_VERTICAL=10,r.TILING_PADDING_HORIZONTAL=10,r.TREE_REDUCTION_ON_INCREMENTAL=!1,t.exports=r},function(t,e,n){"use strict";var i=n(0).FDLayoutEdge;function r(t,e,n){i.call(this,t,e,n)}for(var a in r.prototype=Object.create(i.prototype),i)r[a]=i[a];t.exports=r},function(t,e,n){"use strict";var i=n(0).LGraph;function r(t,e,n){i.call(this,t,e,n)}for(var a in r.prototype=Object.create(i.prototype),i)r[a]=i[a];t.exports=r},function(t,e,n){"use strict";var i=n(0).LGraphManager;function r(t){i.call(this,t)}for(var a in r.prototype=Object.create(i.prototype),i)r[a]=i[a];t.exports=r},function(t,e,n){"use strict";var i=n(0).FDLayoutNode,r=n(0).IMath;function a(t,e,n,r){i.call(this,t,e,n,r)}for(var o in a.prototype=Object.create(i.prototype),i)a[o]=i[o];a.prototype.move=function(){var t=this.graphManager.getLayout();this.displacementX=t.coolingFactor*(this.springForceX+this.repulsionForceX+this.gravitationForceX)/this.noOfChildren,this.displacementY=t.coolingFactor*(this.springForceY+this.repulsionForceY+this.gravitationForceY)/this.noOfChildren,Math.abs(this.displacementX)>t.coolingFactor*t.maxNodeDisplacement&&(this.displacementX=t.coolingFactor*t.maxNodeDisplacement*r.sign(this.displacementX)),Math.abs(this.displacementY)>t.coolingFactor*t.maxNodeDisplacement&&(this.displacementY=t.coolingFactor*t.maxNodeDisplacement*r.sign(this.displacementY)),null==this.child||0==this.child.getNodes().length?this.moveBy(this.displacementX,this.displacementY):this.propogateDisplacementToChildren(this.displacementX,this.displacementY),t.totalDisplacement+=Math.abs(this.displacementX)+Math.abs(this.displacementY),this.springForceX=0,this.springForceY=0,this.repulsionForceX=0,this.repulsionForceY=0,this.gravitationForceX=0,this.gravitationForceY=0,this.displacementX=0,this.displacementY=0},a.prototype.propogateDisplacementToChildren=function(t,e){for(var n,i=this.getChild().getNodes(),r=0;r<i.length;r++)null==(n=i[r]).getChild()?(n.moveBy(t,e),n.displacementX+=t,n.displacementY+=e):n.propogateDisplacementToChildren(t,e)},a.prototype.setPred1=function(t){this.pred1=t},a.prototype.getPred1=function(){return pred1},a.prototype.getPred2=function(){return pred2},a.prototype.setNext=function(t){this.next=t},a.prototype.getNext=function(){return next},a.prototype.setProcessed=function(t){this.processed=t},a.prototype.isProcessed=function(){return processed},t.exports=a},function(t,e,n){"use strict";var i=n(0).FDLayout,r=n(4),a=n(3),o=n(5),s=n(2),c=n(1),u=n(0).FDLayoutConstants,l=n(0).LayoutConstants,h=n(0).Point,f=n(0).PointD,d=n(0).Layout,g=n(0).Integer,p=n(0).IGeometry,b=n(0).LGraph,w=n(0).Transform;function y(){i.call(this),this.toBeTiled={}}for(var m in y.prototype=Object.create(i.prototype),i)y[m]=i[m];y.prototype.newGraphManager=function(){var t=new r(this);return this.graphManager=t,t},y.prototype.newGraph=function(t){return new a(null,this.graphManager,t)},y.prototype.newNode=function(t){return new o(this.graphManager,t)},y.prototype.newEdge=function(t){return new s(null,null,t)},y.prototype.initParameters=function(){i.prototype.initParameters.call(this,arguments),this.isSubLayout||(c.DEFAULT_EDGE_LENGTH<10?this.idealEdgeLength=10:this.idealEdgeLength=c.DEFAULT_EDGE_LENGTH,this.useSmartIdealEdgeLengthCalculation=c.DEFAULT_USE_SMART_IDEAL_EDGE_LENGTH_CALCULATION,this.springConstant=u.DEFAULT_SPRING_STRENGTH,this.repulsionConstant=u.DEFAULT_REPULSION_STRENGTH,this.gravityConstant=u.DEFAULT_GRAVITY_STRENGTH,this.compoundGravityConstant=u.DEFAULT_COMPOUND_GRAVITY_STRENGTH,this.gravityRangeFactor=u.DEFAULT_GRAVITY_RANGE_FACTOR,this.compoundGravityRangeFactor=u.DEFAULT_COMPOUND_GRAVITY_RANGE_FACTOR,this.prunedNodesAll=[],this.growTreeIterations=0,this.afterGrowthIterations=0,this.isTreeGrowing=!1,this.isGrowthFinished=!1,this.coolingCycle=0,this.maxCoolingCycle=this.maxIterations/u.CONVERGENCE_CHECK_PERIOD,this.finalTemperature=u.CONVERGENCE_CHECK_PERIOD/this.maxIterations,this.coolingAdjuster=1)},y.prototype.layout=function(){return l.DEFAULT_CREATE_BENDS_AS_NEEDED&&(this.createBendpoints(),this.graphManager.resetAllEdges()),this.level=0,this.classicLayout()},y.prototype.classicLayout=function(){if(this.nodesWithGravity=this.calculateNodesToApplyGravitationTo(),this.graphManager.setAllNodesToApplyGravitation(this.nodesWithGravity),this.calcNoOfChildrenForAllNodes(),this.graphManager.calcLowestCommonAncestors(),this.graphManager.calcInclusionTreeDepths(),this.graphManager.getRoot().calcEstimatedSize(),this.calcIdealEdgeLengths(),this.incremental)c.TREE_REDUCTION_ON_INCREMENTAL&&(this.reduceTrees(),this.graphManager.resetAllNodesToApplyGravitation(),e=new Set(this.getAllNodes()),n=this.nodesWithGravity.filter((function(t){return e.has(t)})),this.graphManager.setAllNodesToApplyGravitation(n));else{var t=this.getFlatForest();if(t.length>0)this.positionNodesRadially(t);else{this.reduceTrees(),this.graphManager.resetAllNodesToApplyGravitation();var e=new Set(this.getAllNodes()),n=this.nodesWithGravity.filter((function(t){return e.has(t)}));this.graphManager.setAllNodesToApplyGravitation(n),this.positionNodesRandomly()}}return this.initSpringEmbedder(),this.runSpringEmbedder(),!0},y.prototype.tick=function(){if(this.totalIterations++,this.totalIterations===this.maxIterations&&!this.isTreeGrowing&&!this.isGrowthFinished){if(!(this.prunedNodesAll.length>0))return!0;this.isTreeGrowing=!0}if(this.totalIterations%u.CONVERGENCE_CHECK_PERIOD==0&&!this.isTreeGrowing&&!this.isGrowthFinished){if(this.isConverged()){if(!(this.prunedNodesAll.length>0))return!0;this.isTreeGrowing=!0}this.coolingCycle++,0==this.layoutQuality?this.coolingAdjuster=this.coolingCycle:1==this.layoutQuality&&(this.coolingAdjuster=this.coolingCycle/3),this.coolingFactor=Math.max(this.initialCoolingFactor-Math.pow(this.coolingCycle,Math.log(100*(this.initialCoolingFactor-this.finalTemperature))/Math.log(this.maxCoolingCycle))/100*this.coolingAdjuster,this.finalTemperature),this.animationPeriod=Math.ceil(this.initialAnimationPeriod*Math.sqrt(this.coolingFactor))}if(this.isTreeGrowing){if(this.growTreeIterations%10==0)if(this.prunedNodesAll.length>0){this.graphManager.updateBounds(),this.updateGrid(),this.growTree(this.prunedNodesAll),this.graphManager.resetAllNodesToApplyGravitation();var t=new Set(this.getAllNodes()),e=this.nodesWithGravity.filter((function(e){return t.has(e)}));this.graphManager.setAllNodesToApplyGravitation(e),this.graphManager.updateBounds(),this.updateGrid(),this.coolingFactor=u.DEFAULT_COOLING_FACTOR_INCREMENTAL}else this.isTreeGrowing=!1,this.isGrowthFinished=!0;this.growTreeIterations++}if(this.isGrowthFinished){if(this.isConverged())return!0;this.afterGrowthIterations%10==0&&(this.graphManager.updateBounds(),this.updateGrid()),this.coolingFactor=u.DEFAULT_COOLING_FACTOR_INCREMENTAL*((100-this.afterGrowthIterations)/100),this.afterGrowthIterations++}var n=!this.isTreeGrowing&&!this.isGrowthFinished,i=this.growTreeIterations%10==1&&this.isTreeGrowing||this.afterGrowthIterations%10==1&&this.isGrowthFinished;return this.totalDisplacement=0,this.graphManager.updateBounds(),this.calcSpringForces(),this.calcRepulsionForces(n,i),this.calcGravitationalForces(),this.moveNodes(),this.animate(),!1},y.prototype.getPositionsData=function(){for(var t=this.graphManager.getAllNodes(),e={},n=0;n<t.length;n++){var i=t[n].rect,r=t[n].id;e[r]={id:r,x:i.getCenterX(),y:i.getCenterY(),w:i.width,h:i.height}}return e},y.prototype.runSpringEmbedder=function(){this.initialAnimationPeriod=25,this.animationPeriod=this.initialAnimationPeriod;var t=!1;if("during"===u.ANIMATE)this.emit("layoutstarted");else{for(;!t;)t=this.tick();this.graphManager.updateBounds()}},y.prototype.calculateNodesToApplyGravitationTo=function(){var t,e,n=[],i=this.graphManager.getGraphs(),r=i.length;for(e=0;e<r;e++)(t=i[e]).updateConnected(),t.isConnected||(n=n.concat(t.getNodes()));return n},y.prototype.createBendpoints=function(){var t=[];t=t.concat(this.graphManager.getAllEdges());var e,n=new Set;for(e=0;e<t.length;e++){var i=t[e];if(!n.has(i)){var r=i.getSource(),a=i.getTarget();if(r==a)i.getBendpoints().push(new f),i.getBendpoints().push(new f),this.createDummyNodesForBendpoints(i),n.add(i);else{var o=[];if(o=(o=o.concat(r.getEdgeListToNode(a))).concat(a.getEdgeListToNode(r)),!n.has(o[0])){var s;if(o.length>1)for(s=0;s<o.length;s++){var c=o[s];c.getBendpoints().push(new f),this.createDummyNodesForBendpoints(c)}o.forEach((function(t){n.add(t)}))}}}if(n.size==t.length)break}},y.prototype.positionNodesRadially=function(t){for(var e=new h(0,0),n=Math.ceil(Math.sqrt(t.length)),i=0,r=0,a=0,o=new f(0,0),s=0;s<t.length;s++){s%n==0&&(a=0,r=i,0!=s&&(r+=c.DEFAULT_COMPONENT_SEPERATION),i=0);var u=t[s],g=d.findCenterOfTree(u);e.x=a,e.y=r,(o=y.radialLayout(u,g,e)).y>i&&(i=Math.floor(o.y)),a=Math.floor(o.x+c.DEFAULT_COMPONENT_SEPERATION)}this.transform(new f(l.WORLD_CENTER_X-o.x/2,l.WORLD_CENTER_Y-o.y/2))},y.radialLayout=function(t,e,n){var i=Math.max(this.maxDiagonalInTree(t),c.DEFAULT_RADIAL_SEPARATION);y.branchRadialLayout(e,null,0,359,0,i);var r=b.calculateBounds(t),a=new w;a.setDeviceOrgX(r.getMinX()),a.setDeviceOrgY(r.getMinY()),a.setWorldOrgX(n.x),a.setWorldOrgY(n.y);for(var o=0;o<t.length;o++)t[o].transform(a);var s=new f(r.getMaxX(),r.getMaxY());return a.inverseTransformPoint(s)},y.branchRadialLayout=function(t,e,n,i,r,a){var o=(i-n+1)/2;o<0&&(o+=180);var s=(o+n)%360*p.TWO_PI/360,c=(Math.cos(s),r*Math.cos(s)),u=r*Math.sin(s);t.setCenter(c,u);var l=[],h=(l=l.concat(t.getEdges())).length;null!=e&&h--;for(var f,d=0,g=l.length,b=t.getEdgesBetween(e);b.length>1;){var w=b[0];b.splice(0,1);var m=l.indexOf(w);m>=0&&l.splice(m,1),g--,h--}f=null!=e?(l.indexOf(b[0])+1)%g:0;for(var v=Math.abs(i-n)/h,x=f;d!=h;x=++x%g){var k=l[x].getOtherEnd(t);if(k!=e){var _=(n+d*v)%360,E=(_+v)%360;y.branchRadialLayout(k,t,_,E,r+a,a),d++}}},y.maxDiagonalInTree=function(t){for(var e=g.MIN_VALUE,n=0;n<t.length;n++){var i=t[n].getDiagonal();i>e&&(e=i)}return e},y.prototype.calcRepulsionRange=function(){return 2*(this.level+1)*this.idealEdgeLength},y.prototype.groupZeroDegreeMembers=function(){var t=this,e={};this.memberGroups={},this.idToDummyNode={};for(var n=[],i=this.graphManager.getAllNodes(),r=0;r<i.length;r++){var a=(s=i[r]).getParent();0!==this.getNodeDegreeWithChildren(s)||null!=a.id&&this.getToBeTiled(a)||n.push(s)}for(r=0;r<n.length;r++){var s,c=(s=n[r]).getParent().id;void 0===e[c]&&(e[c]=[]),e[c]=e[c].concat(s)}Object.keys(e).forEach((function(n){if(e[n].length>1){var i="DummyCompound_"+n;t.memberGroups[i]=e[n];var r=e[n][0].getParent(),a=new o(t.graphManager);a.id=i,a.paddingLeft=r.paddingLeft||0,a.paddingRight=r.paddingRight||0,a.paddingBottom=r.paddingBottom||0,a.paddingTop=r.paddingTop||0,t.idToDummyNode[i]=a;var s=t.getGraphManager().add(t.newGraph(),a),c=r.getChild();c.add(a);for(var u=0;u<e[n].length;u++){var l=e[n][u];c.remove(l),s.add(l)}}}))},y.prototype.clearCompounds=function(){var t={},e={};this.performDFSOnCompounds();for(var n=0;n<this.compoundOrder.length;n++)e[this.compoundOrder[n].id]=this.compoundOrder[n],t[this.compoundOrder[n].id]=[].concat(this.compoundOrder[n].getChild().getNodes()),this.graphManager.remove(this.compoundOrder[n].getChild()),this.compoundOrder[n].child=null;this.graphManager.resetAllNodes(),this.tileCompoundMembers(t,e)},y.prototype.clearZeroDegreeMembers=function(){var t=this,e=this.tiledZeroDegreePack=[];Object.keys(this.memberGroups).forEach((function(n){var i=t.idToDummyNode[n];e[n]=t.tileNodes(t.memberGroups[n],i.paddingLeft+i.paddingRight),i.rect.width=e[n].width,i.rect.height=e[n].height}))},y.prototype.repopulateCompounds=function(){for(var t=this.compoundOrder.length-1;t>=0;t--){var e=this.compoundOrder[t],n=e.id,i=e.paddingLeft,r=e.paddingTop;this.adjustLocations(this.tiledMemberPack[n],e.rect.x,e.rect.y,i,r)}},y.prototype.repopulateZeroDegreeMembers=function(){var t=this,e=this.tiledZeroDegreePack;Object.keys(e).forEach((function(n){var i=t.idToDummyNode[n],r=i.paddingLeft,a=i.paddingTop;t.adjustLocations(e[n],i.rect.x,i.rect.y,r,a)}))},y.prototype.getToBeTiled=function(t){var e=t.id;if(null!=this.toBeTiled[e])return this.toBeTiled[e];var n=t.getChild();if(null==n)return this.toBeTiled[e]=!1,!1;for(var i=n.getNodes(),r=0;r<i.length;r++){var a=i[r];if(this.getNodeDegree(a)>0)return this.toBeTiled[e]=!1,!1;if(null!=a.getChild()){if(!this.getToBeTiled(a))return this.toBeTiled[e]=!1,!1}else this.toBeTiled[a.id]=!1}return this.toBeTiled[e]=!0,!0},y.prototype.getNodeDegree=function(t){t.id;for(var e=t.getEdges(),n=0,i=0;i<e.length;i++){var r=e[i];r.getSource().id!==r.getTarget().id&&(n+=1)}return n},y.prototype.getNodeDegreeWithChildren=function(t){var e=this.getNodeDegree(t);if(null==t.getChild())return e;for(var n=t.getChild().getNodes(),i=0;i<n.length;i++){var r=n[i];e+=this.getNodeDegreeWithChildren(r)}return e},y.prototype.performDFSOnCompounds=function(){this.compoundOrder=[],this.fillCompexOrderByDFS(this.graphManager.getRoot().getNodes())},y.prototype.fillCompexOrderByDFS=function(t){for(var e=0;e<t.length;e++){var n=t[e];null!=n.getChild()&&this.fillCompexOrderByDFS(n.getChild().getNodes()),this.getToBeTiled(n)&&this.compoundOrder.push(n)}},y.prototype.adjustLocations=function(t,e,n,i,r){n+=r;for(var a=e+=i,o=0;o<t.rows.length;o++){var s=t.rows[o];e=a;for(var c=0,u=0;u<s.length;u++){var l=s[u];l.rect.x=e,l.rect.y=n,e+=l.rect.width+t.horizontalPadding,l.rect.height>c&&(c=l.rect.height)}n+=c+t.verticalPadding}},y.prototype.tileCompoundMembers=function(t,e){var n=this;this.tiledMemberPack=[],Object.keys(t).forEach((function(i){var r=e[i];n.tiledMemberPack[i]=n.tileNodes(t[i],r.paddingLeft+r.paddingRight),r.rect.width=n.tiledMemberPack[i].width,r.rect.height=n.tiledMemberPack[i].height}))},y.prototype.tileNodes=function(t,e){var n={rows:[],rowWidth:[],rowHeight:[],width:0,height:e,verticalPadding:c.TILING_PADDING_VERTICAL,horizontalPadding:c.TILING_PADDING_HORIZONTAL};t.sort((function(t,e){return t.rect.width*t.rect.height>e.rect.width*e.rect.height?-1:t.rect.width*t.rect.height<e.rect.width*e.rect.height?1:0}));for(var i=0;i<t.length;i++){var r=t[i];0==n.rows.length?this.insertNodeToRow(n,r,0,e):this.canAddHorizontal(n,r.rect.width,r.rect.height)?this.insertNodeToRow(n,r,this.getShortestRowIndex(n),e):this.insertNodeToRow(n,r,n.rows.length,e),this.shiftToLastRow(n)}return n},y.prototype.insertNodeToRow=function(t,e,n,i){var r=i;n==t.rows.length&&(t.rows.push([]),t.rowWidth.push(r),t.rowHeight.push(0));var a=t.rowWidth[n]+e.rect.width;t.rows[n].length>0&&(a+=t.horizontalPadding),t.rowWidth[n]=a,t.width<a&&(t.width=a);var o=e.rect.height;n>0&&(o+=t.verticalPadding);var s=0;o>t.rowHeight[n]&&(s=t.rowHeight[n],t.rowHeight[n]=o,s=t.rowHeight[n]-s),t.height+=s,t.rows[n].push(e)},y.prototype.getShortestRowIndex=function(t){for(var e=-1,n=Number.MAX_VALUE,i=0;i<t.rows.length;i++)t.rowWidth[i]<n&&(e=i,n=t.rowWidth[i]);return e},y.prototype.getLongestRowIndex=function(t){for(var e=-1,n=Number.MIN_VALUE,i=0;i<t.rows.length;i++)t.rowWidth[i]>n&&(e=i,n=t.rowWidth[i]);return e},y.prototype.canAddHorizontal=function(t,e,n){var i=this.getShortestRowIndex(t);if(i<0)return!0;var r=t.rowWidth[i];if(r+t.horizontalPadding+e<=t.width)return!0;var a,o,s=0;return t.rowHeight[i]<n&&i>0&&(s=n+t.verticalPadding-t.rowHeight[i]),a=t.width-r>=e+t.horizontalPadding?(t.height+s)/(r+e+t.horizontalPadding):(t.height+s)/t.width,s=n+t.verticalPadding,(o=t.width<e?(t.height+s)/e:(t.height+s)/t.width)<1&&(o=1/o),a<1&&(a=1/a),a<o},y.prototype.shiftToLastRow=function(t){var e=this.getLongestRowIndex(t),n=t.rowWidth.length-1,i=t.rows[e],r=i[i.length-1],a=r.width+t.horizontalPadding;if(t.width-t.rowWidth[n]>a&&e!=n){i.splice(-1,1),t.rows[n].push(r),t.rowWidth[e]=t.rowWidth[e]-a,t.rowWidth[n]=t.rowWidth[n]+a,t.width=t.rowWidth[instance.getLongestRowIndex(t)];for(var o=Number.MIN_VALUE,s=0;s<i.length;s++)i[s].height>o&&(o=i[s].height);e>0&&(o+=t.verticalPadding);var c=t.rowHeight[e]+t.rowHeight[n];t.rowHeight[e]=o,t.rowHeight[n]<r.height+t.verticalPadding&&(t.rowHeight[n]=r.height+t.verticalPadding);var u=t.rowHeight[e]+t.rowHeight[n];t.height+=u-c,this.shiftToLastRow(t)}},y.prototype.tilingPreLayout=function(){c.TILE&&(this.groupZeroDegreeMembers(),this.clearCompounds(),this.clearZeroDegreeMembers())},y.prototype.tilingPostLayout=function(){c.TILE&&(this.repopulateZeroDegreeMembers(),this.repopulateCompounds())},y.prototype.reduceTrees=function(){for(var t,e=[],n=!0;n;){var i=this.graphManager.getAllNodes(),r=[];n=!1;for(var a=0;a<i.length;a++)1!=(t=i[a]).getEdges().length||t.getEdges()[0].isInterGraph||null!=t.getChild()||(r.push([t,t.getEdges()[0],t.getOwner()]),n=!0);if(1==n){for(var o=[],s=0;s<r.length;s++)1==r[s][0].getEdges().length&&(o.push(r[s]),r[s][0].getOwner().remove(r[s][0]));e.push(o),this.graphManager.resetAllNodes(),this.graphManager.resetAllEdges()}}this.prunedNodesAll=e},y.prototype.growTree=function(t){for(var e,n=t[t.length-1],i=0;i<n.length;i++)e=n[i],this.findPlaceforPrunedNode(e),e[2].add(e[0]),e[2].add(e[1],e[1].source,e[1].target);t.splice(t.length-1,1),this.graphManager.resetAllNodes(),this.graphManager.resetAllEdges()},y.prototype.findPlaceforPrunedNode=function(t){var e,n,i=t[0],r=(n=i==t[1].source?t[1].target:t[1].source).startX,a=n.finishX,o=n.startY,s=n.finishY,c=[0,0,0,0];if(o>0)for(var 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o,s=Mn(e.boundingBox?e.boundingBox:{x1:0,y1:0,w:n.width(),h:n.height()}),c={x:s.x1+s.w/2,y:s.y1+s.h/2},u=(void 0===e.sweep?2*Math.PI-2*Math.PI/a.length:e.sweep)/Math.max(1,a.length-1),l=0,h=0;h<a.length;h++){var f=a[h].layoutDimensions(e),d=f.w,g=f.h;l=Math.max(l,d,g)}if(o=E(e.radius)?e.radius:a.length<=1?0:Math.min(s.h,s.w)/2-l,a.length>1&&e.avoidOverlap){l*=1.75;var p=Math.cos(u)-Math.cos(0),b=Math.sin(u)-Math.sin(0),w=Math.sqrt(l*l/(p*p+b*b));o=Math.max(w,o)}var y=function(t,n){var i=e.startAngle+n*u*(r?1:-1),a=o*Math.cos(i),s=o*Math.sin(i);return{x:c.x+a,y:c.y+s}};return i.nodes().layoutPositions(this,e,y),this};var ml,vl={fit:!0,padding:30,startAngle:1.5*Math.PI,sweep:void 0,clockwise:!0,equidistant:!1,minNodeSpacing:10,boundingBox:void 0,avoidOverlap:!0,nodeDimensionsIncludeLabels:!1,height:void 0,width:void 0,spacingFactor:void 0,concentric:function(t){return t.degree()},levelWidth:function(t){return t.maxDegree()/4},animate:!1,animationDuration:500,animationEasing:void 0,animateFilter:function(t,e){return!0},ready:void 0,stop:void 0,transform:function(t,e){return e}};function xl(t){this.options=Q({},vl,t)}xl.prototype.run=function(){for(var t=this.options,e=t,n=void 0!==e.counterclockwise?!e.counterclockwise:e.clockwise,i=t.cy,r=e.eles,a=r.nodes().not(":parent"),o=Mn(e.boundingBox?e.boundingBox:{x1:0,y1:0,w:i.width(),h:i.height()}),s={x:o.x1+o.w/2,y:o.y1+o.h/2},c=[],u=0,l=0;l<a.length;l++){var h=a[l],f=void 0;f=e.concentric(h),c.push({value:f,node:h}),h._private.scratch.concentric=f}a.updateStyle();for(var d=0;d<a.length;d++){var g=a[d].layoutDimensions(e);u=Math.max(u,g.w,g.h)}c.sort((function(t,e){return e.value-t.value}));for(var p=e.levelWidth(a),b=[[]],w=b[0],y=0;y<c.length;y++){var m=c[y];w.length>0&&Math.abs(w[0].value-m.value)>=p&&(w=[],b.push(w)),w.push(m)}var v=u+e.minNodeSpacing;if(!e.avoidOverlap){var x=b.length>0&&b[0].length>1,k=(Math.min(o.w,o.h)/2-v)/(b.length+x?1:0);v=Math.min(v,k)}for(var _=0,E=0;E<b.length;E++){var T=b[E],C=void 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2048},nodeOverlap:4,idealEdgeLength:function(t){return 32},edgeElasticity:function(t){return 32},nestingFactor:1.2,gravity:1,numIter:1e3,initialTemp:1e3,coolingFactor:.99,minTemp:1};function _l(t){this.options=Q({},kl,t),this.options.layout=this}_l.prototype.run=function(){var t=this.options,e=t.cy,n=this;n.stopped=!1,!0!==t.animate&&!1!==t.animate||n.emit({type:"layoutstart",layout:n}),ml=!0===t.debug;var i=Tl(e,n,t);ml&&El(i),t.randomize&&Al(i);var r=ie(),a=function(){Il(i,e,t),!0===t.fit&&e.fit(t.padding)},o=function(e){return!(n.stopped||e>=t.numIter||(Ll(i,t),i.temperature=i.temperature*t.coolingFactor,i.temperature<t.minTemp))},s=function(){if(!0===t.animate||!1===t.animate)a(),n.one("layoutstop",t.stop),n.emit({type:"layoutstop",layout:n});else{var e=t.eles.nodes(),r=Ml(i,t,e);e.layoutPositions(n,t,r)}},c=0,u=!0;if(!0===t.animate)!function e(){for(var 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h=(b=r[c]).layoutDimensions(n);(O={}).isLocked=b.locked(),O.id=b.data("id"),O.parentId=b.data("parent"),O.cmptId=s[b.id()],O.children=[],O.positionX=b.position("x"),O.positionY=b.position("y"),O.offsetX=0,O.offsetY=0,O.height=h.w,O.width=h.h,O.maxX=O.positionX+O.width/2,O.minX=O.positionX-O.width/2,O.maxY=O.positionY+O.height/2,O.minY=O.positionY-O.height/2,O.padLeft=parseFloat(b.style("padding")),O.padRight=parseFloat(b.style("padding")),O.padTop=parseFloat(b.style("padding")),O.padBottom=parseFloat(b.style("padding")),O.nodeRepulsion=v(n.nodeRepulsion)?n.nodeRepulsion(b):n.nodeRepulsion,a.layoutNodes.push(O),a.idToIndex[O.id]=c}var f=[],d=0,g=-1,p=[];for(c=0;c<a.nodeSize;c++){var b,w=(b=a.layoutNodes[c]).parentId;null!=w?a.layoutNodes[a.idToIndex[w]].children.push(b.id):(f[++g]=b.id,p.push(b.id))}for(a.graphSet.push(p);d<=g;){var y=f[d++],m=a.idToIndex[y],x=a.layoutNodes[m].children;if(x.length>0)for(a.graphSet.push(x),c=0;c<x.length;c++)f[++g]=x[c]}for(c=0;c<a.graphSet.length;c++){var k=a.graphSet[c];for(l=0;l<k.length;l++){var _=a.idToIndex[k[l]];a.indexToGraph[_]=c}}for(c=0;c<a.edgeSize;c++){var E=i[c],T={};T.id=E.data("id"),T.sourceId=E.data("source"),T.targetId=E.data("target");var C=v(n.idealEdgeLength)?n.idealEdgeLength(E):n.idealEdgeLength,S=v(n.edgeElasticity)?n.edgeElasticity(E):n.edgeElasticity,A=a.idToIndex[T.sourceId],M=a.idToIndex[T.targetId];if(a.indexToGraph[A]!=a.indexToGraph[M]){for(var I=Cl(T.sourceId,T.targetId,a),L=a.graphSet[I],D=0,O=a.layoutNodes[A];-1===L.indexOf(O.id);)O=a.layoutNodes[a.idToIndex[O.parentId]],D++;for(O=a.layoutNodes[M];-1===L.indexOf(O.id);)O=a.layoutNodes[a.idToIndex[O.parentId]],D++;C*=D*n.nestingFactor}T.idealLength=C,T.elasticity=S,a.layoutEdges.push(T)}return a},Cl=function(t,e,n){var i=Sl(t,e,0,n);return 2>i.count?0:i.graph},Sl=function t(e,n,i,r){var 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e,n,i,r,a,o,s=t._private.rscratch,c="haystack"===s.edgeType,u="bezier"===s.edgeType,l="multibezier"===s.edgeType,h="segments"===s.edgeType,f="compound"===s.edgeType,d="self"===s.edgeType;if(c?(i=s.haystackPts[0],r=s.haystackPts[1],a=s.haystackPts[2],o=s.haystackPts[3]):(i=s.arrowStartX,r=s.arrowStartY,a=s.arrowEndX,o=s.arrowEndY),p=s.midX,b=s.midY,h)e=i-s.segpts[0],n=r-s.segpts[1];else if(l||f||d||u){var g=s.allpts;e=i-Tn(g[0],g[2],g[4],.1),n=r-Tn(g[1],g[3],g[5],.1)}else e=i-p,n=r-b;s.srcArrowAngle=mn(e,n);var p=s.midX,b=s.midY;if(c&&(p=(i+a)/2,b=(r+o)/2),e=a-i,n=o-r,h)if((g=s.allpts).length/2%2==0){var w=(y=g.length/2)-2;e=g[y]-g[w],n=g[y+1]-g[w+1]}else{w=(y=g.length/2-1)-2;var y,m=y+2;e=g[y]-g[w],n=g[y+1]-g[w+1]}else if(l||f||d){var v,x,k,_,g=s.allpts;if(s.ctrlpts.length/2%2==0){var E=2+(T=2+(C=g.length/2-1));v=Tn(g[C],g[T],g[E],0),x=Tn(g[C+1],g[T+1],g[E+1],0),k=Tn(g[C],g[T],g[E],1e-4),_=Tn(g[C+1],g[T+1],g[E+1],1e-4)}else{var T,C;E=2+(T=g.length/2-1),v=Tn(g[C=T-2],g[T],g[E],.4999),x=Tn(g[C+1],g[T+1],g[E+1],.4999),k=Tn(g[C],g[T],g[E],.5),_=Tn(g[C+1],g[T+1],g[E+1],.5)}e=k-v,n=_-x}if(s.midtgtArrowAngle=mn(e,n),s.midDispX=e,s.midDispY=n,e*=-1,n*=-1,h&&((g=s.allpts).length/2%2==0||(e=-(g[m=2+(y=g.length/2-1)]-g[y]),n=-(g[m+1]-g[y+1]))),s.midsrcArrowAngle=mn(e,n),h)e=a-s.segpts[s.segpts.length-2],n=o-s.segpts[s.segpts.length-1];else if(l||f||d||u){var S=(g=s.allpts).length;e=a-Tn(g[S-6],g[S-4],g[S-2],.9),n=o-Tn(g[S-5],g[S-3],g[S-1],.9)}else e=a-p,n=o-b;s.tgtArrowAngle=mn(e,n)}};rh.getArrowWidth=rh.getArrowHeight=function(t,e){var n=this.arrowWidthCache=this.arrowWidthCache||{},i=n[t+", "+e];return i||(i=Math.max(Math.pow(13.37*t,.9),29)*e,n[t+", "+e]=i,i)};var ah={};function oh(t){var e=[];if(null!=t){for(var n=0;n<t.length;n+=2){var i=t[n],r=t[n+1];e.push({x:i,y:r})}return e}}ah.findHaystackPoints=function(t){for(var e=0;e<t.length;e++){var n=t[e],i=n._private,r=i.rscratch;if(!r.haystack){var a=2*Math.random()*Math.PI;r.source={x:Math.cos(a),y:Math.sin(a)},a=2*Math.random()*Math.PI,r.target={x:Math.cos(a),y:Math.sin(a)}}var o=i.source,s=i.target,c=o.position(),u=s.position(),l=o.width(),h=s.width(),f=o.height(),d=s.height(),g=n.pstyle("haystack-radius").value/2;r.haystackPts=r.allpts=[r.source.x*l*g+c.x,r.source.y*f*g+c.y,r.target.x*h*g+u.x,r.target.y*d*g+u.y],r.midX=(r.allpts[0]+r.allpts[2])/2,r.midY=(r.allpts[1]+r.allpts[3])/2,r.edgeType="haystack",r.haystack=!0,this.storeEdgeProjections(n),this.calculateArrowAngles(n),this.recalculateEdgeLabelProjections(n),this.calculateLabelAngles(n)}},ah.findSegmentsPoints=function(t,e){var n=t._private.rscratch,i=e.posPts,r=e.intersectionPts,a=e.vectorNormInverse,o=t.pstyle("edge-distances").value,s=t.pstyle("segment-weights"),c=t.pstyle("segment-distances"),u=Math.min(s.pfValue.length,c.pfValue.length);n.edgeType="segments",n.segpts=[];for(var l=0;l<u;l++){var h=s.pfValue[l],f=c.pfValue[l],d=1-h,g=h,p="node-position"===o?i:r,b={x:p.x1*d+p.x2*g,y:p.y1*d+p.y2*g};n.segpts.push(b.x+a.x*f,b.y+a.y*f)}},ah.findLoopPoints=function(t,e,n,i){var r=t._private.rscratch,a=e.dirCounts,o=e.srcPos,s=t.pstyle("control-point-distances"),c=s?s.pfValue[0]:void 0,u=t.pstyle("loop-direction").pfValue,l=t.pstyle("loop-sweep").pfValue,h=t.pstyle("control-point-step-size").pfValue;r.edgeType="self";var f=n,d=h;i&&(f=0,d=c);var g=u-Math.PI/2,p=g-l/2,b=g+l/2,w=String(u+"_"+l);f=void 0===a[w]?a[w]=0:++a[w],r.ctrlpts=[o.x+1.4*Math.cos(p)*d*(f/3+1),o.y+1.4*Math.sin(p)*d*(f/3+1),o.x+1.4*Math.cos(b)*d*(f/3+1),o.y+1.4*Math.sin(b)*d*(f/3+1)]},ah.findCompoundLoopPoints=function(t,e,n,i){var r=t._private.rscratch;r.edgeType="compound";var a=e.srcPos,o=e.tgtPos,s=e.srcW,c=e.srcH,u=e.tgtW,l=e.tgtH,h=t.pstyle("control-point-step-size").pfValue,f=t.pstyle("control-point-distances"),d=f?f.pfValue[0]:void 0,g=n,p=h;i&&(g=0,p=d);var b=50,w={x:a.x-s/2,y:a.y-c/2},y={x:o.x-u/2,y:o.y-l/2},m={x:Math.min(w.x,y.x),y:Math.min(w.y,y.y)},v=.5,x=Math.max(v,Math.log(.01*s)),k=Math.max(v,Math.log(.01*u));r.ctrlpts=[m.x,m.y-(1+Math.pow(b,1.12)/100)*p*(g/3+1)*x,m.x-(1+Math.pow(b,1.12)/100)*p*(g/3+1)*k,m.y]},ah.findStraightEdgePoints=function(t){t._private.rscratch.edgeType="straight"},ah.findBezierPoints=function(t,e,n,i,r){var a=t._private.rscratch,o=e.vectorNormInverse,s=e.posPts,c=e.intersectionPts,u=t.pstyle("edge-distances").value,l=t.pstyle("control-point-step-size").pfValue,h=t.pstyle("control-point-distances"),f=t.pstyle("control-point-weights"),d=h&&f?Math.min(h.value.length,f.value.length):1,g=h?h.pfValue[0]:void 0,p=f.value[0],b=i;a.edgeType=b?"multibezier":"bezier",a.ctrlpts=[];for(var w=0;w<d;w++){var y=(.5-e.eles.length/2+n)*l*(r?-1:1),m=void 0,v=xn(y);b&&(g=h?h.pfValue[w]:l,p=f.value[w]);var x=void 0!==(m=i?g:void 0!==g?v*g:void 0)?m:y,k=1-p,_=p,E="node-position"===u?s:c,T={x:E.x1*k+E.x2*_,y:E.y1*k+E.y2*_};a.ctrlpts.push(T.x+o.x*x,T.y+o.y*x)}},ah.findTaxiPoints=function(t,e){var n=t._private.rscratch;n.edgeType="segments";var i="vertical",r="horizontal",a="leftward",o="rightward",s="downward",c="upward",u="auto",l=e.posPts,h=e.srcW,f=e.srcH,d=e.tgtW,g=e.tgtH,p="node-position"!==t.pstyle("edge-distances").value,b=t.pstyle("taxi-direction").value,w=b,y=t.pstyle("taxi-turn"),m="%"===y.units,v=y.pfValue,x=v<0,k=t.pstyle("taxi-turn-min-distance").pfValue,_=p?(h+d)/2:0,E=p?(f+g)/2:0,T=l.x2-l.x1,C=l.y2-l.y1,S=function(t,e){return t>0?Math.max(t-e,0):Math.min(t+e,0)},A=S(T,_),M=S(C,E),I=!1;w===u?b=Math.abs(A)>Math.abs(M)?r:i:w===c||w===s?(b=i,I=!0):w!==a&&w!==o||(b=r,I=!0);var L,D=b===i,O=D?M:A,N=D?C:T,P=xn(N),B=!1;I&&(m||x)||!(w===s&&N<0||w===c&&N>0||w===a&&N>0||w===o&&N<0)||(O=(P*=-1)*Math.abs(O),B=!0);var F=function(t){return Math.abs(t)<k||Math.abs(t)>=Math.abs(O)},R=F(L=m?(v<0?1+v:v)*O:(v<0?O:0)+v*P),$=F(Math.abs(O)-Math.abs(L));if(!R&&!$||B)if(D){var j=l.y1+L+(p?f/2*P:0),z=l.x1,q=l.x2;n.segpts=[z,j,q,j]}else{var H=l.x1+L+(p?h/2*P:0),Z=l.y1,U=l.y2;n.segpts=[H,Z,H,U]}else if(D){var Y=Math.abs(N)<=f/2,G=Math.abs(T)<=d/2;if(Y){var K=(l.x1+l.x2)/2,W=l.y1,X=l.y2;n.segpts=[K,W,K,X]}else if(G){var V=(l.y1+l.y2)/2,Q=l.x1,J=l.x2;n.segpts=[Q,V,J,V]}else n.segpts=[l.x1,l.y2]}else{var tt=Math.abs(N)<=h/2,et=Math.abs(C)<=g/2;if(tt){var nt=(l.y1+l.y2)/2,it=l.x1,rt=l.x2;n.segpts=[it,nt,rt,nt]}else if(et){var at=(l.x1+l.x2)/2,ot=l.y1,st=l.y2;n.segpts=[at,ot,at,st]}else n.segpts=[l.x2,l.y1]}},ah.tryToCorrectInvalidPoints=function(t,e){var n=t._private.rscratch;if("bezier"===n.edgeType){var i=e.srcPos,r=e.tgtPos,a=e.srcW,o=e.srcH,s=e.tgtW,c=e.tgtH,u=e.srcShape,l=e.tgtShape,h=!E(n.startX)||!E(n.startY),f=!E(n.arrowStartX)||!E(n.arrowStartY),d=!E(n.endX)||!E(n.endY),g=!E(n.arrowEndX)||!E(n.arrowEndY),p=this.getArrowWidth(t.pstyle("width").pfValue,t.pstyle("arrow-scale").value)*this.arrowShapeWidth*3,b=kn({x:n.ctrlpts[0],y:n.ctrlpts[1]},{x:n.startX,y:n.startY}),w=b<p,y=kn({x:n.ctrlpts[0],y:n.ctrlpts[1]},{x:n.endX,y:n.endY}),m=y<p,v=!1;if(h||f||w){v=!0;var x={x:n.ctrlpts[0]-i.x,y:n.ctrlpts[1]-i.y},k=Math.sqrt(x.x*x.x+x.y*x.y),_={x:x.x/k,y:x.y/k},T=Math.max(a,o),C={x:n.ctrlpts[0]+2*_.x*T,y:n.ctrlpts[1]+2*_.y*T},S=u.intersectLine(i.x,i.y,a,o,C.x,C.y,0);w?(n.ctrlpts[0]=n.ctrlpts[0]+_.x*(p-b),n.ctrlpts[1]=n.ctrlpts[1]+_.y*(p-b)):(n.ctrlpts[0]=S[0]+_.x*p,n.ctrlpts[1]=S[1]+_.y*p)}if(d||g||m){v=!0;var A={x:n.ctrlpts[0]-r.x,y:n.ctrlpts[1]-r.y},M=Math.sqrt(A.x*A.x+A.y*A.y),I={x:A.x/M,y:A.y/M},L=Math.max(a,o),D={x:n.ctrlpts[0]+2*I.x*L,y:n.ctrlpts[1]+2*I.y*L},O=l.intersectLine(r.x,r.y,s,c,D.x,D.y,0);m?(n.ctrlpts[0]=n.ctrlpts[0]+I.x*(p-y),n.ctrlpts[1]=n.ctrlpts[1]+I.y*(p-y)):(n.ctrlpts[0]=O[0]+I.x*p,n.ctrlpts[1]=O[1]+I.y*p)}v&&this.findEndpoints(t)}},ah.storeAllpts=function(t){var e=t._private.rscratch;if("multibezier"===e.edgeType||"bezier"===e.edgeType||"self"===e.edgeType||"compound"===e.edgeType){e.allpts=[],e.allpts.push(e.startX,e.startY);for(var n=0;n+1<e.ctrlpts.length;n+=2)e.allpts.push(e.ctrlpts[n],e.ctrlpts[n+1]),n+3<e.ctrlpts.length&&e.allpts.push((e.ctrlpts[n]+e.ctrlpts[n+2])/2,(e.ctrlpts[n+1]+e.ctrlpts[n+3])/2);var i,r;e.allpts.push(e.endX,e.endY),e.ctrlpts.length/2%2==0?(i=e.allpts.length/2-1,e.midX=e.allpts[i],e.midY=e.allpts[i+1]):(i=e.allpts.length/2-3,r=.5,e.midX=Tn(e.allpts[i],e.allpts[i+2],e.allpts[i+4],r),e.midY=Tn(e.allpts[i+1],e.allpts[i+3],e.allpts[i+5],r))}else if("straight"===e.edgeType)e.allpts=[e.startX,e.startY,e.endX,e.endY],e.midX=(e.startX+e.endX+e.arrowStartX+e.arrowEndX)/4,e.midY=(e.startY+e.endY+e.arrowStartY+e.arrowEndY)/4;else if("segments"===e.edgeType)if(e.allpts=[],e.allpts.push(e.startX,e.startY),e.allpts.push.apply(e.allpts,e.segpts),e.allpts.push(e.endX,e.endY),e.segpts.length%4==0){var a=e.segpts.length/2,o=a-2;e.midX=(e.segpts[o]+e.segpts[a])/2,e.midY=(e.segpts[o+1]+e.segpts[a+1])/2}else{var s=e.segpts.length/2-1;e.midX=e.segpts[s],e.midY=e.segpts[s+1]}},ah.checkForInvalidEdgeWarning=function(t){var e=t[0]._private.rscratch;e.nodesOverlap||E(e.startX)&&E(e.startY)&&E(e.endX)&&E(e.endY)?e.loggedErr=!1:e.loggedErr||(e.loggedErr=!0,Se("Edge `"+t.id()+"` has invalid endpoints and so it is impossible to draw.  Adjust your edge style (e.g. control points) accordingly or use an alternative edge type.  This is expected behaviour when the source node and the target node overlap."))},ah.findEdgeControlPoints=function(t){var e=this;if(t&&0!==t.length){for(var n=this,i=n.cy.hasCompoundNodes(),r={map:new ze,get:function(t){var e=this.map.get(t[0]);return null!=e?e.get(t[1]):null},set:function(t,e){var n=this.map.get(t[0]);null==n&&(n=new ze,this.map.set(t[0],n)),n.set(t[1],e)}},a=[],o=[],s=0;s<t.length;s++){var c=t[s],u=c._private,l=c.pstyle("curve-style").value;if(!c.removed()&&c.takesUpSpace())if("haystack"!==l){var h="unbundled-bezier"===l||"segments"===l||"straight"===l||"straight-triangle"===l||"taxi"===l,f="unbundled-bezier"===l||"bezier"===l,d=u.source,g=u.target,p=[d.poolIndex(),g.poolIndex()].sort(),b=r.get(p);null==b&&(b={eles:[]},r.set(p,b),a.push(p)),b.eles.push(c),h&&(b.hasUnbundled=!0),f&&(b.hasBezier=!0)}else o.push(c)}for(var w=function(t){var o=a[t],s=r.get(o),c=void 0;if(!s.hasUnbundled){var u=s.eles[0].parallelEdges().filter((function(t){return t.isBundledBezier()}));Be(s.eles),u.forEach((function(t){return s.eles.push(t)})),s.eles.sort((function(t,e){return t.poolIndex()-e.poolIndex()}))}var l=s.eles[0],h=l.source(),f=l.target();if(h.poolIndex()>f.poolIndex()){var d=h;h=f,f=d}var g=s.srcPos=h.position(),p=s.tgtPos=f.position(),b=s.srcW=h.outerWidth(),w=s.srcH=h.outerHeight(),y=s.tgtW=f.outerWidth(),m=s.tgtH=f.outerHeight(),v=s.srcShape=n.nodeShapes[e.getNodeShape(h)],x=s.tgtShape=n.nodeShapes[e.getNodeShape(f)];s.dirCounts={north:0,west:0,south:0,east:0,northwest:0,southwest:0,northeast:0,southeast:0};for(var k=0;k<s.eles.length;k++){var _=s.eles[k],T=_[0]._private.rscratch,C=_.pstyle("curve-style").value,S="unbundled-bezier"===C||"segments"===C||"taxi"===C,A=!h.same(_.source());if(!s.calculatedIntersection&&h!==f&&(s.hasBezier||s.hasUnbundled)){s.calculatedIntersection=!0;var M=v.intersectLine(g.x,g.y,b,w,p.x,p.y,0),I=s.srcIntn=M,L=x.intersectLine(p.x,p.y,y,m,g.x,g.y,0),D=s.tgtIntn=L,O=s.intersectionPts={x1:M[0],x2:L[0],y1:M[1],y2:L[1]},N=s.posPts={x1:g.x,x2:p.x,y1:g.y,y2:p.y},P=L[1]-M[1],B=L[0]-M[0],F=Math.sqrt(B*B+P*P),R=s.vector={x:B,y:P},$=s.vectorNorm={x:R.x/F,y:R.y/F},j={x:-$.y,y:$.x};s.nodesOverlap=!E(F)||x.checkPoint(M[0],M[1],0,y,m,p.x,p.y)||v.checkPoint(L[0],L[1],0,b,w,g.x,g.y),s.vectorNormInverse=j,c={nodesOverlap:s.nodesOverlap,dirCounts:s.dirCounts,calculatedIntersection:!0,hasBezier:s.hasBezier,hasUnbundled:s.hasUnbundled,eles:s.eles,srcPos:p,tgtPos:g,srcW:y,srcH:m,tgtW:b,tgtH:w,srcIntn:D,tgtIntn:I,srcShape:x,tgtShape:v,posPts:{x1:N.x2,y1:N.y2,x2:N.x1,y2:N.y1},intersectionPts:{x1:O.x2,y1:O.y2,x2:O.x1,y2:O.y1},vector:{x:-R.x,y:-R.y},vectorNorm:{x:-$.x,y:-$.y},vectorNormInverse:{x:-j.x,y:-j.y}}}var z=A?c:s;T.nodesOverlap=z.nodesOverlap,T.srcIntn=z.srcIntn,T.tgtIntn=z.tgtIntn,i&&(h.isParent()||h.isChild()||f.isParent()||f.isChild())&&(h.parents().anySame(f)||f.parents().anySame(h)||h.same(f)&&h.isParent())?e.findCompoundLoopPoints(_,z,k,S):h===f?e.findLoopPoints(_,z,k,S):"segments"===C?e.findSegmentsPoints(_,z):"taxi"===C?e.findTaxiPoints(_,z):"straight"===C||!S&&s.eles.length%2==1&&k===Math.floor(s.eles.length/2)?e.findStraightEdgePoints(_):e.findBezierPoints(_,z,k,S,A),e.findEndpoints(_),e.tryToCorrectInvalidPoints(_,z),e.checkForInvalidEdgeWarning(_),e.storeAllpts(_),e.storeEdgeProjections(_),e.calculateArrowAngles(_),e.recalculateEdgeLabelProjections(_),e.calculateLabelAngles(_)}},y=0;y<a.length;y++)w(y);this.findHaystackPoints(o)}},ah.getSegmentPoints=function(t){var e=t[0]._private.rscratch;if("segments"===e.edgeType)return this.recalculateRenderedStyle(t),oh(e.segpts)},ah.getControlPoints=function(t){var e=t[0]._private.rscratch,n=e.edgeType;if("bezier"===n||"multibezier"===n||"self"===n||"compound"===n)return this.recalculateRenderedStyle(t),oh(e.ctrlpts)},ah.getEdgeMidpoint=function(t){var e=t[0]._private.rscratch;return this.recalculateRenderedStyle(t),{x:e.midX,y:e.midY}};var sh={manualEndptToPx:function(t,e){var n=this,i=t.position(),r=t.outerWidth(),a=t.outerHeight();if(2===e.value.length){var o=[e.pfValue[0],e.pfValue[1]];return"%"===e.units[0]&&(o[0]=o[0]*r),"%"===e.units[1]&&(o[1]=o[1]*a),o[0]+=i.x,o[1]+=i.y,o}var s=e.pfValue[0];s=-Math.PI/2+s;var c=2*Math.max(r,a),u=[i.x+Math.cos(s)*c,i.y+Math.sin(s)*c];return n.nodeShapes[this.getNodeShape(t)].intersectLine(i.x,i.y,r,a,u[0],u[1],0)},findEndpoints:function(t){var e,n,i,r,a,o=this,s=t.source()[0],c=t.target()[0],u=s.position(),l=c.position(),h=t.pstyle("target-arrow-shape").value,f=t.pstyle("source-arrow-shape").value,d=t.pstyle("target-distance-from-node").pfValue,g=t.pstyle("source-distance-from-node").pfValue,p=t.pstyle("curve-style").value,b=t._private.rscratch,w=b.edgeType,y="self"===w||"compound"===w,m="bezier"===w||"multibezier"===w||y,v="bezier"!==w,x="straight"===w||"segments"===w,k="segments"===w,_=m||v||x,T=y||"taxi"===p,C=t.pstyle("source-endpoint"),S=T?"outside-to-node":C.value,A=t.pstyle("target-endpoint"),M=T?"outside-to-node":A.value;if(b.srcManEndpt=C,b.tgtManEndpt=A,m){var I=[b.ctrlpts[0],b.ctrlpts[1]];n=v?[b.ctrlpts[b.ctrlpts.length-2],b.ctrlpts[b.ctrlpts.length-1]]:I,i=I}else if(x){var L=k?b.segpts.slice(0,2):[l.x,l.y];n=k?b.segpts.slice(b.segpts.length-2):[u.x,u.y],i=L}if("inside-to-node"===M)e=[l.x,l.y];else if(A.units)e=this.manualEndptToPx(c,A);else if("outside-to-line"===M)e=b.tgtIntn;else 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vh={getCachedImage:function(t,e,n){var i=this,r=i.imageCache=i.imageCache||{},a=r[t];if(a)return a.image.complete||a.image.addEventListener("load",n),a.image;var o=(a=r[t]=r[t]||{}).image=new Image;o.addEventListener("load",n),o.addEventListener("error",(function(){o.error=!0}));var s="data:";return t.substring(0,s.length).toLowerCase()===s||(o.crossOrigin=e),o.src=t,o}},xh={registerBinding:function(t,e,n,i){var r=Array.prototype.slice.apply(arguments,[1]),a=this.binder(t);return a.on.apply(a,r)},binder:function(t){var e=this,n=t===window||t===document||t===document.body||N(t);if(null==e.supportsPassiveEvents){var i=!1;try{var r=Object.defineProperty({},"passive",{get:function(){return i=!0,!0}});window.addEventListener("test",null,r)}catch(t){}e.supportsPassiveEvents=i}var a=function(i,r,a){var o=Array.prototype.slice.call(arguments);return n&&e.supportsPassiveEvents&&(o[2]={capture:null!=a&&a,passive:!1,once:!1}),e.bindings.push({target:t,args:o}),(t.addEventListener||t.on).apply(t,o),this};return{on:a,addEventListener:a,addListener:a,bind:a}},nodeIsDraggable:function(t){return t&&t.isNode()&&!t.locked()&&t.grabbable()},nodeIsGrabbable:function(t){return this.nodeIsDraggable(t)&&t.interactive()},load:function(){var t=this,e=function(t){return t.selected()},n=function(e,n,i,r){null==e&&(e=t.cy);for(var a=0;a<n.length;a++){var o=n[a];e.emit({originalEvent:i,type:o,position:r})}},i=function(t){return t.shiftKey||t.metaKey||t.ctrlKey},r=function(e,n){var i=!0;if(t.cy.hasCompoundNodes()&&e&&e.pannable()){for(var r=0;n&&r<n.length;r++)if((e=n[r]).isNode()&&e.isParent()&&!e.pannable()){i=!1;break}}else i=!0;return i},a=function(t){t[0]._private.grabbed=!0},o=function(t){t[0]._private.grabbed=!1},s=function(t){t[0]._private.rscratch.inDragLayer=!0},c=function(t){t[0]._private.rscratch.inDragLayer=!1},u=function(t){t[0]._private.rscratch.isGrabTarget=!0},l=function(t){t[0]._private.rscratch.isGrabTarget=!1},h=function(t,e){var n=e.addToList;n.has(t)||!t.grabbable()||t.locked()||(n.merge(t),a(t))},f=function(t,e){if(t.cy().hasCompoundNodes()&&(null!=e.inDragLayer||null!=e.addToList)){var n=t.descendants();e.inDragLayer&&(n.forEach(s),n.connectedEdges().forEach(s)),e.addToList&&h(n,e)}},d=function(e,n){n=n||{};var i=e.cy().hasCompoundNodes();n.inDragLayer&&(e.forEach(s),e.neighborhood().stdFilter((function(t){return!i||t.isEdge()})).forEach(s)),n.addToList&&e.forEach((function(t){h(t,n)})),f(e,n),b(e,{inDragLayer:n.inDragLayer}),t.updateCachedGrabbedEles()},g=d,p=function(e){e&&(t.getCachedZSortedEles().forEach((function(t){o(t),c(t),l(t)})),t.updateCachedGrabbedEles())},b=function(t,e){if((null!=e.inDragLayer||null!=e.addToList)&&t.cy().hasCompoundNodes()){var n=t.ancestors().orphans();if(!n.same(t)){var i=n.descendants().spawnSelf().merge(n).unmerge(t).unmerge(t.descendants()),r=i.connectedEdges();e.inDragLayer&&(r.forEach(s),i.forEach(s)),e.addToList&&i.forEach((function(t){h(t,e)}))}}},w=function(){null!=document.activeElement&&null!=document.activeElement.blur&&document.activeElement.blur()},y="undefined"!=typeof MutationObserver,m="undefined"!=typeof ResizeObserver;y?(t.removeObserver=new MutationObserver((function(e){for(var n=0;n<e.length;n++){var i=e[n].removedNodes;if(i)for(var r=0;r<i.length;r++)if(i[r]===t.container){t.destroy();break}}})),t.container.parentNode&&t.removeObserver.observe(t.container.parentNode,{childList:!0})):t.registerBinding(t.container,"DOMNodeRemoved",(function(e){t.destroy()}));var v=Qt((function(){t.cy.resize()}),100);y&&(t.styleObserver=new MutationObserver(v),t.styleObserver.observe(t.container,{attributes:!0})),t.registerBinding(window,"resize",v),m&&(t.resizeObserver=new ResizeObserver(v),t.resizeObserver.observe(t.container));var x=function(t,e){for(;null!=t;)e(t),t=t.parentNode},k=function(){t.invalidateContainerClientCoordsCache()};x(t.container,(function(e){t.registerBinding(e,"transitionend",k),t.registerBinding(e,"animationend",k),t.registerBinding(e,"scroll",k)})),t.registerBinding(t.container,"contextmenu",(function(t){t.preventDefault()}));var _,T,C,S=function(){return 0!==t.selection[4]},A=function(e){for(var n=t.findContainerClientCoords(),i=n[0],r=n[1],a=n[2],o=n[3],s=e.touches?e.touches:[e],c=!1,u=0;u<s.length;u++){var l=s[u];if(i<=l.clientX&&l.clientX<=i+a&&r<=l.clientY&&l.clientY<=r+o){c=!0;break}}if(!c)return!1;for(var h=t.container,f=e.target.parentNode,d=!1;f;){if(f===h){d=!0;break}f=f.parentNode}return!!d};t.registerBinding(t.container,"mousedown",(function(e){if(A(e)){e.preventDefault(),w(),t.hoverData.capture=!0,t.hoverData.which=e.which;var i=t.cy,r=[e.clientX,e.clientY],a=t.projectIntoViewport(r[0],r[1]),o=t.selection,s=t.findNearestElements(a[0],a[1],!0,!1),c=s[0],l=t.dragData.possibleDragElements;t.hoverData.mdownPos=a,t.hoverData.mdownGPos=r;var h=function(){t.hoverData.tapholdCancelled=!1,clearTimeout(t.hoverData.tapholdTimeout),t.hoverData.tapholdTimeout=setTimeout((function(){if(!t.hoverData.tapholdCancelled){var n=t.hoverData.down;n?n.emit({originalEvent:e,type:"taphold",position:{x:a[0],y:a[1]}}):i.emit({originalEvent:e,type:"taphold",position:{x:a[0],y:a[1]}})}}),t.tapholdDuration)};if(3==e.which){t.hoverData.cxtStarted=!0;var f={originalEvent:e,type:"cxttapstart",position:{x:a[0],y:a[1]}};c?(c.activate(),c.emit(f),t.hoverData.down=c):i.emit(f),t.hoverData.downTime=(new Date).getTime(),t.hoverData.cxtDragged=!1}else if(1==e.which){if(c&&c.activate(),null!=c&&t.nodeIsGrabbable(c)){var p=function(t){return{originalEvent:e,type:t,position:{x:a[0],y:a[1]}}},b=function(t){t.emit(p("grab"))};if(u(c),c.selected()){l=t.dragData.possibleDragElements=i.collection();var y=i.$((function(e){return e.isNode()&&e.selected()&&t.nodeIsGrabbable(e)}));d(y,{addToList:l}),c.emit(p("grabon")),y.forEach(b)}else l=t.dragData.possibleDragElements=i.collection(),g(c,{addToList:l}),c.emit(p("grabon")).emit(p("grab"));t.redrawHint("eles",!0),t.redrawHint("drag",!0)}t.hoverData.down=c,t.hoverData.downs=s,t.hoverData.downTime=(new Date).getTime(),n(c,["mousedown","tapstart","vmousedown"],e,{x:a[0],y:a[1]}),null==c?(o[4]=1,t.data.bgActivePosistion={x:a[0],y:a[1]},t.redrawHint("select",!0),t.redraw()):c.pannable()&&(o[4]=1),h()}o[0]=o[2]=a[0],o[1]=o[3]=a[1]}}),!1),t.registerBinding(window,"mousemove",(function(e){if(t.hoverData.capture||A(e)){var a=!1,o=t.cy,s=o.zoom(),c=[e.clientX,e.clientY],u=t.projectIntoViewport(c[0],c[1]),l=t.hoverData.mdownPos,h=t.hoverData.mdownGPos,f=t.selection,g=null;t.hoverData.draggingEles||t.hoverData.dragging||t.hoverData.selecting||(g=t.findNearestElement(u[0],u[1],!0,!1));var b,w=t.hoverData.last,y=t.hoverData.down,m=[u[0]-f[2],u[1]-f[3]],v=t.dragData.possibleDragElements;if(h){var x=c[0]-h[0],k=x*x,_=c[1]-h[1],T=k+_*_;t.hoverData.isOverThresholdDrag=b=T>=t.desktopTapThreshold2}var C=i(e);b&&(t.hoverData.tapholdCancelled=!0);var S=function(){var e=t.hoverData.dragDelta=t.hoverData.dragDelta||[];0===e.length?(e.push(m[0]),e.push(m[1])):(e[0]+=m[0],e[1]+=m[1])};a=!0,n(g,["mousemove","vmousemove","tapdrag"],e,{x:u[0],y:u[1]});var M=function(){t.data.bgActivePosistion=void 0,t.hoverData.selecting||o.emit({originalEvent:e,type:"boxstart",position:{x:u[0],y:u[1]}}),f[4]=1,t.hoverData.selecting=!0,t.redrawHint("select",!0),t.redraw()};if(3===t.hoverData.which){if(b){var I={originalEvent:e,type:"cxtdrag",position:{x:u[0],y:u[1]}};y?y.emit(I):o.emit(I),t.hoverData.cxtDragged=!0,t.hoverData.cxtOver&&g===t.hoverData.cxtOver||(t.hoverData.cxtOver&&t.hoverData.cxtOver.emit({originalEvent:e,type:"cxtdragout",position:{x:u[0],y:u[1]}}),t.hoverData.cxtOver=g,g&&g.emit({originalEvent:e,type:"cxtdragover",position:{x:u[0],y:u[1]}}))}}else if(t.hoverData.dragging){if(a=!0,o.panningEnabled()&&o.userPanningEnabled()){var L;if(t.hoverData.justStartedPan){var D=t.hoverData.mdownPos;L={x:(u[0]-D[0])*s,y:(u[1]-D[1])*s},t.hoverData.justStartedPan=!1}else L={x:m[0]*s,y:m[1]*s};o.panBy(L),o.emit("dragpan"),t.hoverData.dragged=!0}u=t.projectIntoViewport(e.clientX,e.clientY)}else if(1!=f[4]||null!=y&&!y.pannable()){if(y&&y.pannable()&&y.active()&&y.unactivate(),y&&y.grabbed()||g==w||(w&&n(w,["mouseout","tapdragout"],e,{x:u[0],y:u[1]}),g&&n(g,["mouseover","tapdragover"],e,{x:u[0],y:u[1]}),t.hoverData.last=g),y)if(b){if(o.boxSelectionEnabled()&&C)y&&y.grabbed()&&(p(v),y.emit("freeon"),v.emit("free"),t.dragData.didDrag&&(y.emit("dragfreeon"),v.emit("dragfree"))),M();else if(y&&y.grabbed()&&t.nodeIsDraggable(y)){var O=!t.dragData.didDrag;O&&t.redrawHint("eles",!0),t.dragData.didDrag=!0,t.hoverData.draggingEles||d(v,{inDragLayer:!0});var N={x:0,y:0};if(E(m[0])&&E(m[1])&&(N.x+=m[0],N.y+=m[1],O)){var P=t.hoverData.dragDelta;P&&E(P[0])&&E(P[1])&&(N.x+=P[0],N.y+=P[1])}t.hoverData.draggingEles=!0,v.silentShift(N).emit("position drag"),t.redrawHint("drag",!0),t.redraw()}}else S();a=!0}else b&&(t.hoverData.dragging||!o.boxSelectionEnabled()||!C&&o.panningEnabled()&&o.userPanningEnabled()?!t.hoverData.selecting&&o.panningEnabled()&&o.userPanningEnabled()&&r(y,t.hoverData.downs)&&(t.hoverData.dragging=!0,t.hoverData.justStartedPan=!0,f[4]=0,t.data.bgActivePosistion=dn(l),t.redrawHint("select",!0),t.redraw()):M(),y&&y.pannable()&&y.active()&&y.unactivate());return f[2]=u[0],f[3]=u[1],a?(e.stopPropagation&&e.stopPropagation(),e.preventDefault&&e.preventDefault(),!1):void 0}}),!1),t.registerBinding(window,"mouseup",(function(r){if(t.hoverData.capture){t.hoverData.capture=!1;var a=t.cy,o=t.projectIntoViewport(r.clientX,r.clientY),s=t.selection,c=t.findNearestElement(o[0],o[1],!0,!1),u=t.dragData.possibleDragElements,l=t.hoverData.down,h=i(r);if(t.data.bgActivePosistion&&(t.redrawHint("select",!0),t.redraw()),t.hoverData.tapholdCancelled=!0,t.data.bgActivePosistion=void 0,l&&l.unactivate(),3===t.hoverData.which){var f={originalEvent:r,type:"cxttapend",position:{x:o[0],y:o[1]}};if(l?l.emit(f):a.emit(f),!t.hoverData.cxtDragged){var d={originalEvent:r,type:"cxttap",position:{x:o[0],y:o[1]}};l?l.emit(d):a.emit(d)}t.hoverData.cxtDragged=!1,t.hoverData.which=null}else if(1===t.hoverData.which){if(n(c,["mouseup","tapend","vmouseup"],r,{x:o[0],y:o[1]}),t.dragData.didDrag||t.hoverData.dragged||t.hoverData.selecting||t.hoverData.isOverThresholdDrag||(n(l,["click","tap","vclick"],r,{x:o[0],y:o[1]}),T=!1,r.timeStamp-C<=a.multiClickDebounceTime()?(_&&clearTimeout(_),T=!0,C=null,n(l,["dblclick","dbltap","vdblclick"],r,{x:o[0],y:o[1]})):(_=setTimeout((function(){T||n(l,["oneclick","onetap","voneclick"],r,{x:o[0],y:o[1]})}),a.multiClickDebounceTime()),C=r.timeStamp)),null!=l||t.dragData.didDrag||t.hoverData.selecting||t.hoverData.dragged||i(r)||(a.$(e).unselect(["tapunselect"]),u.length>0&&t.redrawHint("eles",!0),t.dragData.possibleDragElements=u=a.collection()),c!=l||t.dragData.didDrag||t.hoverData.selecting||null!=c&&c._private.selectable&&(t.hoverData.dragging||("additive"===a.selectionType()||h?c.selected()?c.unselect(["tapunselect"]):c.select(["tapselect"]):h||(a.$(e).unmerge(c).unselect(["tapunselect"]),c.select(["tapselect"]))),t.redrawHint("eles",!0)),t.hoverData.selecting){var g=a.collection(t.getAllInBox(s[0],s[1],s[2],s[3]));t.redrawHint("select",!0),g.length>0&&t.redrawHint("eles",!0),a.emit({type:"boxend",originalEvent:r,position:{x:o[0],y:o[1]}});var b=function(t){return t.selectable()&&!t.selected()};"additive"===a.selectionType()||h||a.$(e).unmerge(g).unselect(),g.emit("box").stdFilter(b).select().emit("boxselect"),t.redraw()}if(t.hoverData.dragging&&(t.hoverData.dragging=!1,t.redrawHint("select",!0),t.redrawHint("eles",!0),t.redraw()),!s[4]){t.redrawHint("drag",!0),t.redrawHint("eles",!0);var w=l&&l.grabbed();p(u),w&&(l.emit("freeon"),u.emit("free"),t.dragData.didDrag&&(l.emit("dragfreeon"),u.emit("dragfree")))}}s[4]=0,t.hoverData.down=null,t.hoverData.cxtStarted=!1,t.hoverData.draggingEles=!1,t.hoverData.selecting=!1,t.hoverData.isOverThresholdDrag=!1,t.dragData.didDrag=!1,t.hoverData.dragged=!1,t.hoverData.dragDelta=[],t.hoverData.mdownPos=null,t.hoverData.mdownGPos=null}}),!1);var M,I,L,D,O,N,P,B,F,R,$,j,z,q=function(e){if(!t.scrollingPage){var n=t.cy,i=n.zoom(),r=n.pan(),a=t.projectIntoViewport(e.clientX,e.clientY),o=[a[0]*i+r.x,a[1]*i+r.y];if(t.hoverData.draggingEles||t.hoverData.dragging||t.hoverData.cxtStarted||S())e.preventDefault();else if(n.panningEnabled()&&n.userPanningEnabled()&&n.zoomingEnabled()&&n.userZoomingEnabled()){var s;e.preventDefault(),t.data.wheelZooming=!0,clearTimeout(t.data.wheelTimeout),t.data.wheelTimeout=setTimeout((function(){t.data.wheelZooming=!1,t.redrawHint("eles",!0),t.redraw()}),150),s=null!=e.deltaY?e.deltaY/-250:null!=e.wheelDeltaY?e.wheelDeltaY/1e3:e.wheelDelta/1e3,s*=t.wheelSensitivity,1===e.deltaMode&&(s*=33);var c=n.zoom()*Math.pow(10,s);"gesturechange"===e.type&&(c=t.gestureStartZoom*e.scale),n.zoom({level:c,renderedPosition:{x:o[0],y:o[1]}}),n.emit("gesturechange"===e.type?"pinchzoom":"scrollzoom")}}};t.registerBinding(t.container,"wheel",q,!0),t.registerBinding(window,"scroll",(function(e){t.scrollingPage=!0,clearTimeout(t.scrollingPageTimeout),t.scrollingPageTimeout=setTimeout((function(){t.scrollingPage=!1}),250)}),!0),t.registerBinding(t.container,"gesturestart",(function(e){t.gestureStartZoom=t.cy.zoom(),t.hasTouchStarted||e.preventDefault()}),!0),t.registerBinding(t.container,"gesturechange",(function(e){t.hasTouchStarted||q(e)}),!0),t.registerBinding(t.container,"mouseout",(function(e){var n=t.projectIntoViewport(e.clientX,e.clientY);t.cy.emit({originalEvent:e,type:"mouseout",position:{x:n[0],y:n[1]}})}),!1),t.registerBinding(t.container,"mouseover",(function(e){var n=t.projectIntoViewport(e.clientX,e.clientY);t.cy.emit({originalEvent:e,type:"mouseover",position:{x:n[0],y:n[1]}})}),!1);var H,Z,U,Y,G,K,W,X=function(t,e,n,i){return Math.sqrt((n-t)*(n-t)+(i-e)*(i-e))},V=function(t,e,n,i){return(n-t)*(n-t)+(i-e)*(i-e)};if(t.registerBinding(t.container,"touchstart",H=function(e){if(t.hasTouchStarted=!0,A(e)){w(),t.touchData.capture=!0,t.data.bgActivePosistion=void 0;var i=t.cy,r=t.touchData.now,a=t.touchData.earlier;if(e.touches[0]){var o=t.projectIntoViewport(e.touches[0].clientX,e.touches[0].clientY);r[0]=o[0],r[1]=o[1]}if(e.touches[1]&&(o=t.projectIntoViewport(e.touches[1].clientX,e.touches[1].clientY),r[2]=o[0],r[3]=o[1]),e.touches[2]&&(o=t.projectIntoViewport(e.touches[2].clientX,e.touches[2].clientY),r[4]=o[0],r[5]=o[1]),e.touches[1]){t.touchData.singleTouchMoved=!0,p(t.dragData.touchDragEles);var s=t.findContainerClientCoords();F=s[0],R=s[1],$=s[2],j=s[3],M=e.touches[0].clientX-F,I=e.touches[0].clientY-R,L=e.touches[1].clientX-F,D=e.touches[1].clientY-R,z=0<=M&&M<=$&&0<=L&&L<=$&&0<=I&&I<=j&&0<=D&&D<=j;var c=i.pan(),l=i.zoom();O=X(M,I,L,D),N=V(M,I,L,D),B=[((P=[(M+L)/2,(I+D)/2])[0]-c.x)/l,(P[1]-c.y)/l];var h=200;if(N<h*h&&!e.touches[2]){var f=t.findNearestElement(r[0],r[1],!0,!0),b=t.findNearestElement(r[2],r[3],!0,!0);return f&&f.isNode()?(f.activate().emit({originalEvent:e,type:"cxttapstart",position:{x:r[0],y:r[1]}}),t.touchData.start=f):b&&b.isNode()?(b.activate().emit({originalEvent:e,type:"cxttapstart",position:{x:r[0],y:r[1]}}),t.touchData.start=b):i.emit({originalEvent:e,type:"cxttapstart",position:{x:r[0],y:r[1]}}),t.touchData.start&&(t.touchData.start._private.grabbed=!1),t.touchData.cxt=!0,t.touchData.cxtDragged=!1,t.data.bgActivePosistion=void 0,void t.redraw()}}if(e.touches[2])i.boxSelectionEnabled()&&e.preventDefault();else if(e.touches[1]);else if(e.touches[0]){var y=t.findNearestElements(r[0],r[1],!0,!0),m=y[0];if(null!=m&&(m.activate(),t.touchData.start=m,t.touchData.starts=y,t.nodeIsGrabbable(m))){var v=t.dragData.touchDragEles=i.collection(),x=null;t.redrawHint("eles",!0),t.redrawHint("drag",!0),m.selected()?(x=i.$((function(e){return e.selected()&&t.nodeIsGrabbable(e)})),d(x,{addToList:v})):g(m,{addToList:v}),u(m);var k=function(t){return{originalEvent:e,type:t,position:{x:r[0],y:r[1]}}};m.emit(k("grabon")),x?x.forEach((function(t){t.emit(k("grab"))})):m.emit(k("grab"))}n(m,["touchstart","tapstart","vmousedown"],e,{x:r[0],y:r[1]}),null==m&&(t.data.bgActivePosistion={x:o[0],y:o[1]},t.redrawHint("select",!0),t.redraw()),t.touchData.singleTouchMoved=!1,t.touchData.singleTouchStartTime=+new Date,clearTimeout(t.touchData.tapholdTimeout),t.touchData.tapholdTimeout=setTimeout((function(){!1!==t.touchData.singleTouchMoved||t.pinching||t.touchData.selecting||n(t.touchData.start,["taphold"],e,{x:r[0],y:r[1]})}),t.tapholdDuration)}if(e.touches.length>=1){for(var _=t.touchData.startPosition=[],E=0;E<r.length;E++)_[E]=a[E]=r[E];var T=e.touches[0];t.touchData.startGPosition=[T.clientX,T.clientY]}}},!1),t.registerBinding(window,"touchmove",Z=function(e){var i=t.touchData.capture;if(i||A(e)){var a=t.selection,o=t.cy,s=t.touchData.now,c=t.touchData.earlier,u=o.zoom();if(e.touches[0]){var l=t.projectIntoViewport(e.touches[0].clientX,e.touches[0].clientY);s[0]=l[0],s[1]=l[1]}e.touches[1]&&(l=t.projectIntoViewport(e.touches[1].clientX,e.touches[1].clientY),s[2]=l[0],s[3]=l[1]),e.touches[2]&&(l=t.projectIntoViewport(e.touches[2].clientX,e.touches[2].clientY),s[4]=l[0],s[5]=l[1]);var h,f=t.touchData.startGPosition;if(i&&e.touches[0]&&f){for(var g=[],b=0;b<s.length;b++)g[b]=s[b]-c[b];var w=e.touches[0].clientX-f[0],y=w*w,m=e.touches[0].clientY-f[1];h=y+m*m>=t.touchTapThreshold2}if(i&&t.touchData.cxt){e.preventDefault();var v=e.touches[0].clientX-F,x=e.touches[0].clientY-R,k=e.touches[1].clientX-F,_=e.touches[1].clientY-R,T=V(v,x,k,_),C=150,S=1.5;if(T/N>=S*S||T>=C*C){t.touchData.cxt=!1,t.data.bgActivePosistion=void 0,t.redrawHint("select",!0);var P={originalEvent:e,type:"cxttapend",position:{x:s[0],y:s[1]}};t.touchData.start?(t.touchData.start.unactivate().emit(P),t.touchData.start=null):o.emit(P)}}if(i&&t.touchData.cxt){P={originalEvent:e,type:"cxtdrag",position:{x:s[0],y:s[1]}},t.data.bgActivePosistion=void 0,t.redrawHint("select",!0),t.touchData.start?t.touchData.start.emit(P):o.emit(P),t.touchData.start&&(t.touchData.start._private.grabbed=!1),t.touchData.cxtDragged=!0;var $=t.findNearestElement(s[0],s[1],!0,!0);t.touchData.cxtOver&&$===t.touchData.cxtOver||(t.touchData.cxtOver&&t.touchData.cxtOver.emit({originalEvent:e,type:"cxtdragout",position:{x:s[0],y:s[1]}}),t.touchData.cxtOver=$,$&&$.emit({originalEvent:e,type:"cxtdragover",position:{x:s[0],y:s[1]}}))}else if(i&&e.touches[2]&&o.boxSelectionEnabled())e.preventDefault(),t.data.bgActivePosistion=void 0,this.lastThreeTouch=+new Date,t.touchData.selecting||o.emit({originalEvent:e,type:"boxstart",position:{x:s[0],y:s[1]}}),t.touchData.selecting=!0,t.touchData.didSelect=!0,a[4]=1,a&&0!==a.length&&void 0!==a[0]?(a[2]=(s[0]+s[2]+s[4])/3,a[3]=(s[1]+s[3]+s[5])/3):(a[0]=(s[0]+s[2]+s[4])/3,a[1]=(s[1]+s[3]+s[5])/3,a[2]=(s[0]+s[2]+s[4])/3+1,a[3]=(s[1]+s[3]+s[5])/3+1),t.redrawHint("select",!0),t.redraw();else if(i&&e.touches[1]&&!t.touchData.didSelect&&o.zoomingEnabled()&&o.panningEnabled()&&o.userZoomingEnabled()&&o.userPanningEnabled()){if(e.preventDefault(),t.data.bgActivePosistion=void 0,t.redrawHint("select",!0),nt=t.dragData.touchDragEles){t.redrawHint("drag",!0);for(var j=0;j<nt.length;j++){var q=nt[j]._private;q.grabbed=!1,q.rscratch.inDragLayer=!1}}var H=t.touchData.start,Z=(v=e.touches[0].clientX-F,x=e.touches[0].clientY-R,k=e.touches[1].clientX-F,_=e.touches[1].clientY-R,X(v,x,k,_)),U=Z/O;if(z){var Y=(v-M+(k-L))/2,G=(x-I+(_-D))/2,K=o.zoom(),W=K*U,Q=o.pan(),J=B[0]*K+Q.x,tt=B[1]*K+Q.y,et={x:-W/K*(J-Q.x-Y)+J,y:-W/K*(tt-Q.y-G)+tt};if(H&&H.active()){var nt=t.dragData.touchDragEles;p(nt),t.redrawHint("drag",!0),t.redrawHint("eles",!0),H.unactivate().emit("freeon"),nt.emit("free"),t.dragData.didDrag&&(H.emit("dragfreeon"),nt.emit("dragfree"))}o.viewport({zoom:W,pan:et,cancelOnFailedZoom:!0}),o.emit("pinchzoom"),O=Z,M=v,I=x,L=k,D=_,t.pinching=!0}e.touches[0]&&(l=t.projectIntoViewport(e.touches[0].clientX,e.touches[0].clientY),s[0]=l[0],s[1]=l[1]),e.touches[1]&&(l=t.projectIntoViewport(e.touches[1].clientX,e.touches[1].clientY),s[2]=l[0],s[3]=l[1]),e.touches[2]&&(l=t.projectIntoViewport(e.touches[2].clientX,e.touches[2].clientY),s[4]=l[0],s[5]=l[1])}else if(e.touches[0]&&!t.touchData.didSelect){var it=t.touchData.start,rt=t.touchData.last;if(t.hoverData.draggingEles||t.swipePanning||($=t.findNearestElement(s[0],s[1],!0,!0)),i&&null!=it&&e.preventDefault(),i&&null!=it&&t.nodeIsDraggable(it))if(h){nt=t.dragData.touchDragEles;var at=!t.dragData.didDrag;at&&d(nt,{inDragLayer:!0}),t.dragData.didDrag=!0;var ot={x:0,y:0};E(g[0])&&E(g[1])&&(ot.x+=g[0],ot.y+=g[1],at&&(t.redrawHint("eles",!0),(st=t.touchData.dragDelta)&&E(st[0])&&E(st[1])&&(ot.x+=st[0],ot.y+=st[1]))),t.hoverData.draggingEles=!0,nt.silentShift(ot).emit("position drag"),t.redrawHint("drag",!0),t.touchData.startPosition[0]==c[0]&&t.touchData.startPosition[1]==c[1]&&t.redrawHint("eles",!0),t.redraw()}else{var st;0===(st=t.touchData.dragDelta=t.touchData.dragDelta||[]).length?(st.push(g[0]),st.push(g[1])):(st[0]+=g[0],st[1]+=g[1])}if(n(it||$,["touchmove","tapdrag","vmousemove"],e,{x:s[0],y:s[1]}),it&&it.grabbed()||$==rt||(rt&&rt.emit({originalEvent:e,type:"tapdragout",position:{x:s[0],y:s[1]}}),$&&$.emit({originalEvent:e,type:"tapdragover",position:{x:s[0],y:s[1]}})),t.touchData.last=$,i)for(j=0;j<s.length;j++)s[j]&&t.touchData.startPosition[j]&&h&&(t.touchData.singleTouchMoved=!0);i&&(null==it||it.pannable())&&o.panningEnabled()&&o.userPanningEnabled()&&(r(it,t.touchData.starts)&&(e.preventDefault(),t.data.bgActivePosistion||(t.data.bgActivePosistion=dn(t.touchData.startPosition)),t.swipePanning?(o.panBy({x:g[0]*u,y:g[1]*u}),o.emit("dragpan")):h&&(t.swipePanning=!0,o.panBy({x:w*u,y:m*u}),o.emit("dragpan"),it&&(it.unactivate(),t.redrawHint("select",!0),t.touchData.start=null))),l=t.projectIntoViewport(e.touches[0].clientX,e.touches[0].clientY),s[0]=l[0],s[1]=l[1])}for(b=0;b<s.length;b++)c[b]=s[b];i&&e.touches.length>0&&!t.hoverData.draggingEles&&!t.swipePanning&&null!=t.data.bgActivePosistion&&(t.data.bgActivePosistion=void 0,t.redrawHint("select",!0),t.redraw())}},!1),t.registerBinding(window,"touchcancel",U=function(e){var n=t.touchData.start;t.touchData.capture=!1,n&&n.unactivate()}),t.registerBinding(window,"touchend",Y=function(i){var r=t.touchData.start;if(t.touchData.capture){0===i.touches.length&&(t.touchData.capture=!1),i.preventDefault();var a=t.selection;t.swipePanning=!1,t.hoverData.draggingEles=!1;var o,s=t.cy,c=s.zoom(),u=t.touchData.now,l=t.touchData.earlier;if(i.touches[0]){var h=t.projectIntoViewport(i.touches[0].clientX,i.touches[0].clientY);u[0]=h[0],u[1]=h[1]}if(i.touches[1]&&(h=t.projectIntoViewport(i.touches[1].clientX,i.touches[1].clientY),u[2]=h[0],u[3]=h[1]),i.touches[2]&&(h=t.projectIntoViewport(i.touches[2].clientX,i.touches[2].clientY),u[4]=h[0],u[5]=h[1]),r&&r.unactivate(),t.touchData.cxt){if(o={originalEvent:i,type:"cxttapend",position:{x:u[0],y:u[1]}},r?r.emit(o):s.emit(o),!t.touchData.cxtDragged){var f={originalEvent:i,type:"cxttap",position:{x:u[0],y:u[1]}};r?r.emit(f):s.emit(f)}return t.touchData.start&&(t.touchData.start._private.grabbed=!1),t.touchData.cxt=!1,t.touchData.start=null,void t.redraw()}if(!i.touches[2]&&s.boxSelectionEnabled()&&t.touchData.selecting){t.touchData.selecting=!1;var d=s.collection(t.getAllInBox(a[0],a[1],a[2],a[3]));a[0]=void 0,a[1]=void 0,a[2]=void 0,a[3]=void 0,a[4]=0,t.redrawHint("select",!0),s.emit({type:"boxend",originalEvent:i,position:{x:u[0],y:u[1]}});var g=function(t){return t.selectable()&&!t.selected()};d.emit("box").stdFilter(g).select().emit("boxselect"),d.nonempty()&&t.redrawHint("eles",!0),t.redraw()}if(null!=r&&r.unactivate(),i.touches[2])t.data.bgActivePosistion=void 0,t.redrawHint("select",!0);else if(i.touches[1]);else if(i.touches[0]);else if(!i.touches[0]){t.data.bgActivePosistion=void 0,t.redrawHint("select",!0);var b=t.dragData.touchDragEles;if(null!=r){var w=r._private.grabbed;p(b),t.redrawHint("drag",!0),t.redrawHint("eles",!0),w&&(r.emit("freeon"),b.emit("free"),t.dragData.didDrag&&(r.emit("dragfreeon"),b.emit("dragfree"))),n(r,["touchend","tapend","vmouseup","tapdragout"],i,{x:u[0],y:u[1]}),r.unactivate(),t.touchData.start=null}else{var y=t.findNearestElement(u[0],u[1],!0,!0);n(y,["touchend","tapend","vmouseup","tapdragout"],i,{x:u[0],y:u[1]})}var m=t.touchData.startPosition[0]-u[0],v=m*m,x=t.touchData.startPosition[1]-u[1],k=(v+x*x)*c*c;t.touchData.singleTouchMoved||(r||s.$(":selected").unselect(["tapunselect"]),n(r,["tap","vclick"],i,{x:u[0],y:u[1]}),G=!1,i.timeStamp-W<=s.multiClickDebounceTime()?(K&&clearTimeout(K),G=!0,W=null,n(r,["dbltap","vdblclick"],i,{x:u[0],y:u[1]})):(K=setTimeout((function(){G||n(r,["onetap","voneclick"],i,{x:u[0],y:u[1]})}),s.multiClickDebounceTime()),W=i.timeStamp)),null!=r&&!t.dragData.didDrag&&r._private.selectable&&k<t.touchTapThreshold2&&!t.pinching&&("single"===s.selectionType()?(s.$(e).unmerge(r).unselect(["tapunselect"]),r.select(["tapselect"])):r.selected()?r.unselect(["tapunselect"]):r.select(["tapselect"]),t.redrawHint("eles",!0)),t.touchData.singleTouchMoved=!0}for(var _=0;_<u.length;_++)l[_]=u[_];t.dragData.didDrag=!1,0===i.touches.length&&(t.touchData.dragDelta=[],t.touchData.startPosition=null,t.touchData.startGPosition=null,t.touchData.didSelect=!1),i.touches.length<2&&(1===i.touches.length&&(t.touchData.startGPosition=[i.touches[0].clientX,i.touches[0].clientY]),t.pinching=!1,t.redrawHint("eles",!0),t.redraw())}},!1),"undefined"==typeof TouchEvent){var Q=[],J=function(t){return{clientX:t.clientX,clientY:t.clientY,force:1,identifier:t.pointerId,pageX:t.pageX,pageY:t.pageY,radiusX:t.width/2,radiusY:t.height/2,screenX:t.screenX,screenY:t.screenY,target:t.target}},tt=function(t){return{event:t,touch:J(t)}},et=function(t){Q.push(tt(t))},nt=function(t){for(var e=0;e<Q.length;e++)if(Q[e].event.pointerId===t.pointerId)return void Q.splice(e,1)},it=function(t){var e=Q.filter((function(e){return e.event.pointerId===t.pointerId}))[0];e.event=t,e.touch=J(t)},rt=function(t){t.touches=Q.map((function(t){return t.touch}))},at=function(t){return"mouse"===t.pointerType||4===t.pointerType};t.registerBinding(t.container,"pointerdown",(function(t){at(t)||(t.preventDefault(),et(t),rt(t),H(t))})),t.registerBinding(t.container,"pointerup",(function(t){at(t)||(nt(t),rt(t),Y(t))})),t.registerBinding(t.container,"pointercancel",(function(t){at(t)||(nt(t),rt(t),U(t))})),t.registerBinding(t.container,"pointermove",(function(t){at(t)||(t.preventDefault(),it(t),rt(t),Z(t))}))}}},kh={generatePolygon:function(t,e){return this.nodeShapes[t]={renderer:this,name:t,points:e,draw:function(t,e,n,i,r){this.renderer.nodeShapeImpl("polygon",t,e,n,i,r,this.points)},intersectLine:function(t,e,n,i,r,a,o){return ri(r,a,this.points,t,e,n/2,i/2,o)},checkPoint:function(t,e,n,i,r,a,o){return Wn(t,e,this.points,a,o,i,r,[0,-1],n)}}},generateEllipse:function(){return this.nodeShapes.ellipse={renderer:this,name:"ellipse",draw:function(t,e,n,i,r){this.renderer.nodeShapeImpl(this.name,t,e,n,i,r)},intersectLine:function(t,e,n,i,r,a,o){return Jn(r,a,t,e,n/2+o,i/2+o)},checkPoint:function(t,e,n,i,r,a,o){return ti(t,e,i,r,a,o,n)}}},generateRoundPolygon:function(t,e){for(var n=new Array(2*e.length),i=0;i<e.length/2;i++){var r=2*i,a=void 0;a=i<e.length/2-1?2*(i+1):0,n[4*i]=e[r],n[4*i+1]=e[r+1];var o=e[a]-e[r],s=e[a+1]-e[r+1],c=Math.sqrt(o*o+s*s);n[4*i+2]=o/c,n[4*i+3]=s/c}return this.nodeShapes[t]={renderer:this,name:t,points:n,draw:function(t,e,n,i,r){this.renderer.nodeShapeImpl("round-polygon",t,e,n,i,r,this.points)},intersectLine:function(t,e,n,i,r,a,o){return ai(r,a,this.points,t,e,n,i)},checkPoint:function(t,e,n,i,r,a,o){return Xn(t,e,this.points,a,o,i,r)}}},generateRoundRectangle:function(){return this.nodeShapes["round-rectangle"]=this.nodeShapes.roundrectangle={renderer:this,name:"round-rectangle",points:si(4,0),draw:function(t,e,n,i,r){this.renderer.nodeShapeImpl(this.name,t,e,n,i,r)},intersectLine:function(t,e,n,i,r,a,o){return zn(r,a,t,e,n,i,o)},checkPoint:function(t,e,n,i,r,a,o){var s=li(i,r),c=2*s;return!!(Wn(t,e,this.points,a,o,i,r-c,[0,-1],n)||Wn(t,e,this.points,a,o,i-c,r,[0,-1],n)||ti(t,e,c,c,a-i/2+s,o-r/2+s,n)||ti(t,e,c,c,a+i/2-s,o-r/2+s,n)||ti(t,e,c,c,a+i/2-s,o+r/2-s,n)||ti(t,e,c,c,a-i/2+s,o+r/2-s,n))}}},generateCutRectangle:function(){return this.nodeShapes["cut-rectangle"]=this.nodeShapes.cutrectangle={renderer:this,name:"cut-rectangle",cornerLength:fi(),points:si(4,0),draw:function(t,e,n,i,r){this.renderer.nodeShapeImpl(this.name,t,e,n,i,r)},generateCutTrianglePts:function(t,e,n,i){var r=this.cornerLength,a=e/2,o=t/2,s=n-o,c=n+o,u=i-a,l=i+a;return{topLeft:[s,u+r,s+r,u,s+r,u+r],topRight:[c-r,u,c,u+r,c-r,u+r],bottomRight:[c,l-r,c-r,l,c-r,l-r],bottomLeft:[s+r,l,s,l-r,s+r,l-r]}},intersectLine:function(t,e,n,i,r,a,o){var s=this.generateCutTrianglePts(n+2*o,i+2*o,t,e),c=[].concat.apply([],[s.topLeft.splice(0,4),s.topRight.splice(0,4),s.bottomRight.splice(0,4),s.bottomLeft.splice(0,4)]);return ri(r,a,c,t,e)},checkPoint:function(t,e,n,i,r,a,o){if(Wn(t,e,this.points,a,o,i,r-2*this.cornerLength,[0,-1],n))return!0;if(Wn(t,e,this.points,a,o,i-2*this.cornerLength,r,[0,-1],n))return!0;var s=this.generateCutTrianglePts(i,r,a,o);return Kn(t,e,s.topLeft)||Kn(t,e,s.topRight)||Kn(t,e,s.bottomRight)||Kn(t,e,s.bottomLeft)}}},generateBarrel:function(){return this.nodeShapes.barrel={renderer:this,name:"barrel",points:si(4,0),draw:function(t,e,n,i,r){this.renderer.nodeShapeImpl(this.name,t,e,n,i,r)},intersectLine:function(t,e,n,i,r,a,o){var s=.15,c=.5,u=.85,l=this.generateBarrelBezierPts(n+2*o,i+2*o,t,e),h=function(t){var e=Cn({x:t[0],y:t[1]},{x:t[2],y:t[3]},{x:t[4],y:t[5]},s),n=Cn({x:t[0],y:t[1]},{x:t[2],y:t[3]},{x:t[4],y:t[5]},c),i=Cn({x:t[0],y:t[1]},{x:t[2],y:t[3]},{x:t[4],y:t[5]},u);return[t[0],t[1],e.x,e.y,n.x,n.y,i.x,i.y,t[4],t[5]]},f=[].concat(h(l.topLeft),h(l.topRight),h(l.bottomRight),h(l.bottomLeft));return ri(r,a,f,t,e)},generateBarrelBezierPts:function(t,e,n,i){var r=e/2,a=t/2,o=n-a,s=n+a,c=i-r,u=i+r,l=gi(t,e),h=l.heightOffset,f=l.widthOffset,d=l.ctrlPtOffsetPct*t,g={topLeft:[o,c+h,o+d,c,o+f,c],topRight:[s-f,c,s-d,c,s,c+h],bottomRight:[s,u-h,s-d,u,s-f,u],bottomLeft:[o+f,u,o+d,u,o,u-h]};return g.topLeft.isTop=!0,g.topRight.isTop=!0,g.bottomLeft.isBottom=!0,g.bottomRight.isBottom=!0,g},checkPoint:function(t,e,n,i,r,a,o){var s=gi(i,r),c=s.heightOffset,u=s.widthOffset;if(Wn(t,e,this.points,a,o,i,r-2*c,[0,-1],n))return!0;if(Wn(t,e,this.points,a,o,i-2*u,r,[0,-1],n))return!0;for(var l=this.generateBarrelBezierPts(i,r,a,o),h=function(t,e,n){var i=n[4],r=n[2],a=n[0],o=n[5],s=n[1],c=Math.min(i,a),u=Math.max(i,a),l=Math.min(o,s),h=Math.max(o,s);if(c<=t&&t<=u&&l<=e&&e<=h){var f=di(i,r,a),d=Zn(f[0],f[1],f[2],t).filter((function(t){return 0<=t&&t<=1}));if(d.length>0)return d[0]}return null},f=Object.keys(l),d=0;d<f.length;d++){var g=l[f[d]],p=h(t,e,g);if(null!=p){var b=g[5],w=g[3],y=g[1],m=Tn(b,w,y,p);if(g.isTop&&m<=e)return!0;if(g.isBottom&&e<=m)return!0}}return!1}}},generateBottomRoundrectangle:function(){return this.nodeShapes["bottom-round-rectangle"]=this.nodeShapes.bottomroundrectangle={renderer:this,name:"bottom-round-rectangle",points:si(4,0),draw:function(t,e,n,i,r){this.renderer.nodeShapeImpl(this.name,t,e,n,i,r)},intersectLine:function(t,e,n,i,r,a,o){var s=e-(i/2+o),c=ii(r,a,t,e,t-(n/2+o),s,t+(n/2+o),s,!1);return c.length>0?c:zn(r,a,t,e,n,i,o)},checkPoint:function(t,e,n,i,r,a,o){var s=li(i,r),c=2*s;if(Wn(t,e,this.points,a,o,i,r-c,[0,-1],n))return!0;if(Wn(t,e,this.points,a,o,i-c,r,[0,-1],n))return!0;var u=i/2+2*n,l=r/2+2*n;return!!Kn(t,e,[a-u,o-l,a-u,o,a+u,o,a+u,o-l])||!!ti(t,e,c,c,a+i/2-s,o+r/2-s,n)||!!ti(t,e,c,c,a-i/2+s,o+r/2-s,n)}}},registerNodeShapes:function(){var t=this.nodeShapes={},e=this;this.generateEllipse(),this.generatePolygon("triangle",si(3,0)),this.generateRoundPolygon("round-triangle",si(3,0)),this.generatePolygon("rectangle",si(4,0)),t.square=t.rectangle,this.generateRoundRectangle(),this.generateCutRectangle(),this.generateBarrel(),this.generateBottomRoundrectangle();var n=[0,1,1,0,0,-1,-1,0];this.generatePolygon("diamond",n),this.generateRoundPolygon("round-diamond",n),this.generatePolygon("pentagon",si(5,0)),this.generateRoundPolygon("round-pentagon",si(5,0)),this.generatePolygon("hexagon",si(6,0)),this.generateRoundPolygon("round-hexagon",si(6,0)),this.generatePolygon("heptagon",si(7,0)),this.generateRoundPolygon("round-heptagon",si(7,0)),this.generatePolygon("octagon",si(8,0)),this.generateRoundPolygon("round-octagon",si(8,0));var i=new Array(20),r=ui(5,0),a=ui(5,Math.PI/5),o=.5*(3-Math.sqrt(5));o*=1.57;for(var s=0;s<a.length/2;s++)a[2*s]*=o,a[2*s+1]*=o;for(s=0;s<5;s++)i[4*s]=r[2*s],i[4*s+1]=r[2*s+1],i[4*s+2]=a[2*s],i[4*s+3]=a[2*s+1];i=ci(i),this.generatePolygon("star",i),this.generatePolygon("vee",[-1,-1,0,-.333,1,-1,0,1]),this.generatePolygon("rhomboid",[-1,-1,.333,-1,1,1,-.333,1]),this.nodeShapes.concavehexagon=this.generatePolygon("concave-hexagon",[-1,-.95,-.75,0,-1,.95,1,.95,.75,0,1,-.95]);var c=[-1,-1,.25,-1,1,0,.25,1,-1,1];this.generatePolygon("tag",c),this.generateRoundPolygon("round-tag",c),t.makePolygon=function(t){var n,i="polygon-"+t.join("$");return(n=this[i])?n:e.generatePolygon(i,t)}}},_h={timeToRender:function(){return this.redrawTotalTime/this.redrawCount},redraw:function(t){t=t||Oe();var e=this;void 0===e.averageRedrawTime&&(e.averageRedrawTime=0),void 0===e.lastRedrawTime&&(e.lastRedrawTime=0),void 0===e.lastDrawTime&&(e.lastDrawTime=0),e.requestedFrame=!0,e.renderOptions=t},beforeRender:function(t,e){if(!this.destroyed){null==e&&Te("Priority is not optional for beforeRender");var n=this.beforeRenderCallbacks;n.push({fn:t,priority:e}),n.sort((function(t,e){return e.priority-t.priority}))}}},Eh=function(t,e,n){for(var i=t.beforeRenderCallbacks,r=0;r<i.length;r++)i[r].fn(e,n)};_h.startRenderLoop=function(){var t=this,e=t.cy;if(!t.renderLoopStarted){t.renderLoopStarted=!0;var n=function n(i){if(!t.destroyed){if(e.batching());else if(t.requestedFrame&&!t.skipFrame){Eh(t,!0,i);var r=ie();t.render(t.renderOptions);var a=t.lastDrawTime=ie();void 0===t.averageRedrawTime&&(t.averageRedrawTime=a-r),void 0===t.redrawCount&&(t.redrawCount=0),t.redrawCount++,void 0===t.redrawTotalTime&&(t.redrawTotalTime=0);var o=a-r;t.redrawTotalTime+=o,t.lastRedrawTime=o,t.averageRedrawTime=t.averageRedrawTime/2+o/2,t.requestedFrame=!1}else Eh(t,!1,i);t.skipFrame=!1,ne(n)}};ne(n)}};var Th=function(t){this.init(t)},Ch=Th.prototype;Ch.clientFunctions=["redrawHint","render","renderTo","matchCanvasSize","nodeShapeImpl","arrowShapeImpl"],Ch.init=function(t){var e=this;e.options=t,e.cy=t.cy;var n=e.container=t.cy.container();if(f){var i=f.document,r=i.head,a="__________cytoscape_stylesheet",o="__________cytoscape_container",s=null!=i.getElementById(a);if(n.className.indexOf(o)<0&&(n.className=(n.className||"")+" "+o),!s){var c=i.createElement("style");c.id=a,c.innerHTML="."+o+" { position: relative; }",r.insertBefore(c,r.children[0])}"static"===f.getComputedStyle(n).getPropertyValue("position")&&Se("A Cytoscape container has style position:static and so can not use UI extensions properly")}e.selection=[void 0,void 0,void 0,void 0,0],e.bezierProjPcts=[.05,.225,.4,.5,.6,.775,.95],e.hoverData={down:null,last:null,downTime:null,triggerMode:null,dragging:!1,initialPan:[null,null],capture:!1},e.dragData={possibleDragElements:[]},e.touchData={start:null,capture:!1,startPosition:[null,null,null,null,null,null],singleTouchStartTime:null,singleTouchMoved:!0,now:[null,null,null,null,null,null],earlier:[null,null,null,null,null,null]},e.redraws=0,e.showFps=t.showFps,e.debug=t.debug,e.hideEdgesOnViewport=t.hideEdgesOnViewport,e.textureOnViewport=t.textureOnViewport,e.wheelSensitivity=t.wheelSensitivity,e.motionBlurEnabled=t.motionBlur,e.forcedPixelRatio=E(t.pixelRatio)?t.pixelRatio:null,e.motionBlur=t.motionBlur,e.motionBlurOpacity=t.motionBlurOpacity,e.motionBlurTransparency=1-e.motionBlurOpacity,e.motionBlurPxRatio=1,e.mbPxRBlurry=1,e.minMbLowQualFrames=4,e.fullQualityMb=!1,e.clearedForMotionBlur=[],e.desktopTapThreshold=t.desktopTapThreshold,e.desktopTapThreshold2=t.desktopTapThreshold*t.desktopTapThreshold,e.touchTapThreshold=t.touchTapThreshold,e.touchTapThreshold2=t.touchTapThreshold*t.touchTapThreshold,e.tapholdDuration=500,e.bindings=[],e.beforeRenderCallbacks=[],e.beforeRenderPriorities={animations:400,eleCalcs:300,eleTxrDeq:200,lyrTxrDeq:150,lyrTxrSkip:100},e.registerNodeShapes(),e.registerArrowShapes(),e.registerCalculationListeners()},Ch.notify=function(t,e){var n=this,i=n.cy;this.destroyed||("init"!==t?"destroy"!==t?(("add"===t||"remove"===t||"move"===t&&i.hasCompoundNodes()||"load"===t||"zorder"===t||"mount"===t)&&n.invalidateCachedZSortedEles(),"viewport"===t&&n.redrawHint("select",!0),"load"!==t&&"resize"!==t&&"mount"!==t||(n.invalidateContainerClientCoordsCache(),n.matchCanvasSize(n.container)),n.redrawHint("eles",!0),n.redrawHint("drag",!0),this.startRenderLoop(),this.redraw()):n.destroy():n.load())},Ch.destroy=function(){var t=this;t.destroyed=!0,t.cy.stopAnimationLoop();for(var e=0;e<t.bindings.length;e++){var n=t.bindings[e],i=n.target;(i.off||i.removeEventListener).apply(i,n.args)}if(t.bindings=[],t.beforeRenderCallbacks=[],t.onUpdateEleCalcsFns=[],t.removeObserver&&t.removeObserver.disconnect(),t.styleObserver&&t.styleObserver.disconnect(),t.resizeObserver&&t.resizeObserver.disconnect(),t.labelCalcDiv)try{document.body.removeChild(t.labelCalcDiv)}catch(t){}},Ch.isHeadless=function(){return!1},[nh,mh,vh,xh,kh,_h].forEach((function(t){Q(Ch,t)}));var Sh=1e3/60,Ah={setupDequeueing:function(t){return function(){var e=this,n=this.renderer;if(!e.dequeueingSetup){e.dequeueingSetup=!0;var i=Qt((function(){n.redrawHint("eles",!0),n.redrawHint("drag",!0),n.redraw()}),t.deqRedrawThreshold),r=function(r,a){var o=ie(),s=n.averageRedrawTime,c=n.lastRedrawTime,u=[],l=n.cy.extent(),h=n.getPixelRatio();for(r||n.flushRenderedStyleQueue();;){var f=ie(),d=f-o,g=f-a;if(c<Sh){var p=Sh-(r?s:0);if(g>=t.deqFastCost*p)break}else if(r){if(d>=t.deqCost*c||d>=t.deqAvgCost*s)break}else if(g>=t.deqNoDrawCost*Sh)break;var b=t.deq(e,h,l);if(!(b.length>0))break;for(var w=0;w<b.length;w++)u.push(b[w])}u.length>0&&(t.onDeqd(e,u),!r&&t.shouldRedraw(e,u,h,l)&&i())},a=t.priority||Ee;n.beforeRender(r,a(e))}}}},Mh=function(){function t(n){var i=arguments.length>1&&void 0!==arguments[1]?arguments[1]:ke;e(this,t),this.idsByKey=new ze,this.keyForId=new ze,this.cachesByLvl=new ze,this.lvls=[],this.getKey=n,this.doesEleInvalidateKey=i}return r(t,[{key:"getIdsFor",value:function(t){null==t&&Te("Can not get id list for null key");var e=this.idsByKey,n=this.idsByKey.get(t);return n||(n=new Ze,e.set(t,n)),n}},{key:"addIdForKey",value:function(t,e){null!=t&&this.getIdsFor(t).add(e)}},{key:"deleteIdForKey",value:function(t,e){null!=t&&this.getIdsFor(t).delete(e)}},{key:"getNumberOfIdsForKey",value:function(t){return null==t?0:this.getIdsFor(t).size}},{key:"updateKeyMappingFor",value:function(t){var e=t.id(),n=this.keyForId.get(e),i=this.getKey(t);this.deleteIdForKey(n,e),this.addIdForKey(i,e),this.keyForId.set(e,i)}},{key:"deleteKeyMappingFor",value:function(t){var e=t.id(),n=this.keyForId.get(e);this.deleteIdForKey(n,e),this.keyForId.delete(e)}},{key:"keyHasChangedFor",value:function(t){var e=t.id();return this.keyForId.get(e)!==this.getKey(t)}},{key:"isInvalid",value:function(t){return this.keyHasChangedFor(t)||this.doesEleInvalidateKey(t)}},{key:"getCachesAt",value:function(t){var e=this.cachesByLvl,n=this.lvls,i=e.get(t);return i||(i=new ze,e.set(t,i),n.push(t)),i}},{key:"getCache",value:function(t,e){return this.getCachesAt(e).get(t)}},{key:"get",value:function(t,e){var n=this.getKey(t),i=this.getCache(n,e);return null!=i&&this.updateKeyMappingFor(t),i}},{key:"getForCachedKey",value:function(t,e){var n=this.keyForId.get(t.id());return this.getCache(n,e)}},{key:"hasCache",value:function(t,e){return this.getCachesAt(e).has(t)}},{key:"has",value:function(t,e){var n=this.getKey(t);return this.hasCache(n,e)}},{key:"setCache",value:function(t,e,n){n.key=t,this.getCachesAt(e).set(t,n)}},{key:"set",value:function(t,e,n){var i=this.getKey(t);this.setCache(i,e,n),this.updateKeyMappingFor(t)}},{key:"deleteCache",value:function(t,e){this.getCachesAt(e).delete(t)}},{key:"delete",value:function(t,e){var n=this.getKey(t);this.deleteCache(n,e)}},{key:"invalidateKey",value:function(t){var e=this;this.lvls.forEach((function(n){return e.deleteCache(t,n)}))}},{key:"invalidate",value:function(t){var e=t.id(),n=this.keyForId.get(e);this.deleteKeyMappingFor(t);var i=this.doesEleInvalidateKey(t);return i&&this.invalidateKey(n),i||0===this.getNumberOfIdsForKey(n)}}]),t}(),Ih=25,Lh=50,Dh=-4,Oh=3,Nh=7.99,Ph=8,Bh=1024,Fh=1024,Rh=1024,$h=.2,jh=.8,zh=10,qh=.15,Hh=.1,Zh=.9,Uh=.9,Yh=100,Gh=1,Kh={dequeue:"dequeue",downscale:"downscale",highQuality:"highQuality"},Wh=Ne({getKey:null,doesEleInvalidateKey:ke,drawElement:null,getBoundingBox:null,getRotationPoint:null,getRotationOffset:null,isVisible:xe,allowEdgeTxrCaching:!0,allowParentTxrCaching:!0}),Xh=function(t,e){var n=this;n.renderer=t,n.onDequeues=[];var i=Wh(e);Q(n,i),n.lookup=new Mh(i.getKey,i.doesEleInvalidateKey),n.setupDequeueing()},Vh=Xh.prototype;Vh.reasons=Kh,Vh.getTextureQueue=function(t){var e=this;return e.eleImgCaches=e.eleImgCaches||{},e.eleImgCaches[t]=e.eleImgCaches[t]||[]},Vh.getRetiredTextureQueue=function(t){var e=this,n=e.eleImgCaches.retired=e.eleImgCaches.retired||{};return n[t]=n[t]||[]},Vh.getElementQueue=function(){var t=this;return t.eleCacheQueue=t.eleCacheQueue||new We((function(t,e){return e.reqs-t.reqs}))},Vh.getElementKeyToQueue=function(){var t=this;return t.eleKeyToCacheQueue=t.eleKeyToCacheQueue||{}},Vh.getElement=function(t,e,n,i,r){var a=this,o=this.renderer,s=o.cy.zoom(),c=this.lookup;if(!e||0===e.w||0===e.h||isNaN(e.w)||isNaN(e.h)||!t.visible()||t.removed())return null;if(!a.allowEdgeTxrCaching&&t.isEdge()||!a.allowParentTxrCaching&&t.isParent())return null;if(null==i&&(i=Math.ceil(vn(s*n))),i<Dh)i=Dh;else if(s>=Nh||i>Oh)return null;var u=Math.pow(2,i),l=e.h*u,h=e.w*u,f=o.eleTextBiggerThanMin(t,u);if(!this.isVisible(t,f))return null;var d,g=c.get(t,i);if(g&&g.invalidated&&(g.invalidated=!1,g.texture.invalidatedWidth-=g.width),g)return g;if(d=l<=Ih?Ih:l<=Lh?Lh:Math.ceil(l/Lh)*Lh,l>Rh||h>Fh)return null;var p=a.getTextureQueue(d),b=p[p.length-2],w=function(){return a.recycleTexture(d,h)||a.addTexture(d,h)};b||(b=p[p.length-1]),b||(b=w()),b.width-b.usedWidth<h&&(b=w());for(var y,m=function(t){return t&&t.scaledLabelShown===f},v=r&&r===Kh.dequeue,x=r&&r===Kh.highQuality,k=r&&r===Kh.downscale,_=i+1;_<=Oh;_++){var E=c.get(t,_);if(E){y=E;break}}var T=y&&y.level===i+1?y:null,C=function(){b.context.drawImage(T.texture.canvas,T.x,0,T.width,T.height,b.usedWidth,0,h,l)};if(b.context.setTransform(1,0,0,1,0,0),b.context.clearRect(b.usedWidth,0,h,d),m(T))C();else if(m(y)){if(!x)return a.queueElement(t,y.level-1),y;for(var S=y.level;S>i;S--)T=a.getElement(t,e,n,S,Kh.downscale);C()}else{var A;if(!v&&!x&&!k)for(var M=i-1;M>=Dh;M--){var I=c.get(t,M);if(I){A=I;break}}if(m(A))return a.queueElement(t,i),A;b.context.translate(b.usedWidth,0),b.context.scale(u,u),this.drawElement(b.context,t,e,f,!1),b.context.scale(1/u,1/u),b.context.translate(-b.usedWidth,0)}return g={x:b.usedWidth,texture:b,level:i,scale:u,width:h,height:l,scaledLabelShown:f},b.usedWidth+=Math.ceil(h+Ph),b.eleCaches.push(g),c.set(t,i,g),a.checkTextureFullness(b),g},Vh.invalidateElements=function(t){for(var e=0;e<t.length;e++)this.invalidateElement(t[e])},Vh.invalidateElement=function(t){var e=this,n=e.lookup,i=[];if(n.isInvalid(t)){for(var r=Dh;r<=Oh;r++){var a=n.getForCachedKey(t,r);a&&i.push(a)}if(n.invalidate(t))for(var o=0;o<i.length;o++){var s=i[o],c=s.texture;c.invalidatedWidth+=s.width,s.invalidated=!0,e.checkTextureUtility(c)}e.removeFromQueue(t)}},Vh.checkTextureUtility=function(t){t.invalidatedWidth>=$h*t.width&&this.retireTexture(t)},Vh.checkTextureFullness=function(t){var e=this.getTextureQueue(t.height);t.usedWidth/t.width>jh&&t.fullnessChecks>=zh?Pe(e,t):t.fullnessChecks++},Vh.retireTexture=function(t){var e=this,n=t.height,i=e.getTextureQueue(n),r=this.lookup;Pe(i,t),t.retired=!0;for(var a=t.eleCaches,o=0;o<a.length;o++){var s=a[o];r.deleteCache(s.key,s.level)}Be(a),e.getRetiredTextureQueue(n).push(t)},Vh.addTexture=function(t,e){var n=this,i={};return n.getTextureQueue(t).push(i),i.eleCaches=[],i.height=t,i.width=Math.max(Bh,e),i.usedWidth=0,i.invalidatedWidth=0,i.fullnessChecks=0,i.canvas=n.renderer.makeOffscreenCanvas(i.width,i.height),i.context=i.canvas.getContext("2d"),i},Vh.recycleTexture=function(t,e){for(var n=this,i=n.getTextureQueue(t),r=n.getRetiredTextureQueue(t),a=0;a<r.length;a++){var o=r[a];if(o.width>=e)return o.retired=!1,o.usedWidth=0,o.invalidatedWidth=0,o.fullnessChecks=0,Be(o.eleCaches),o.context.setTransform(1,0,0,1,0,0),o.context.clearRect(0,0,o.width,o.height),Pe(r,o),i.push(o),o}},Vh.queueElement=function(t,e){var n=this,i=n.getElementQueue(),r=n.getElementKeyToQueue(),a=this.getKey(t),o=r[a];if(o)o.level=Math.max(o.level,e),o.eles.merge(t),o.reqs++,i.updateItem(o);else{var s={eles:t.spawn().merge(t),level:e,reqs:1,key:a};i.push(s),r[a]=s}},Vh.dequeue=function(t){for(var e=this,n=e.getElementQueue(),i=e.getElementKeyToQueue(),r=[],a=e.lookup,o=0;o<Gh&&n.size()>0;o++){var s=n.pop(),c=s.key,u=s.eles[0],l=a.hasCache(u,s.level);if(i[c]=null,!l){r.push(s);var h=e.getBoundingBox(u);e.getElement(u,h,t,s.level,Kh.dequeue)}}return r},Vh.removeFromQueue=function(t){var e=this,n=e.getElementQueue(),i=e.getElementKeyToQueue(),r=this.getKey(t),a=i[r];null!=a&&(1===a.eles.length?(a.reqs=ve,n.updateItem(a),n.pop(),i[r]=null):a.eles.unmerge(t))},Vh.onDequeue=function(t){this.onDequeues.push(t)},Vh.offDequeue=function(t){Pe(this.onDequeues,t)},Vh.setupDequeueing=Ah.setupDequeueing({deqRedrawThreshold:Yh,deqCost:qh,deqAvgCost:Hh,deqNoDrawCost:Zh,deqFastCost:Uh,deq:function(t,e,n){return t.dequeue(e,n)},onDeqd:function(t,e){for(var n=0;n<t.onDequeues.length;n++)(0,t.onDequeues[n])(e)},shouldRedraw:function(t,e,n,i){for(var r=0;r<e.length;r++)for(var a=e[r].eles,o=0;o<a.length;o++){var s=a[o].boundingBox();if(Fn(s,i))return!0}return!1},priority:function(t){return t.renderer.beforeRenderPriorities.eleTxrDeq}});var 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i=this,r=i.renderer.cy.zoom(),a=i.firstGet;if(i.firstGet=!1,null==n)if((n=Math.ceil(vn(r*e)))<Jh)n=Jh;else if(r>=ef||n>tf)return null;i.validateLayersElesOrdering(n,t);var o,s,c=i.layersByLevel,u=Math.pow(2,n),l=c[n]=c[n]||[],h=function(){var e=function(e){if(i.validateLayersElesOrdering(e,t),i.levelIsComplete(e,t))return s=c[e],!0},r=function(t){if(!s)for(var i=n+t;Jh<=i&&i<=tf&&!e(i);i+=t);};r(1),r(-1);for(var a=l.length-1;a>=0;a--){var o=l[a];o.invalid&&Pe(l,o)}};if(i.levelIsComplete(n,t))return l;h();var f=function(){if(!o){o=Mn();for(var e=0;e<t.length;e++)Dn(o,t[e].boundingBox())}return o},d=function(t){var e=(t=t||{}).after;if(f(),o.w*u*(o.h*u)>hf)return null;var r=i.makeLayer(o,n);if(null!=e){var a=l.indexOf(e)+1;l.splice(a,0,r)}else(void 0===t.insert||t.insert)&&l.unshift(r);return r};if(i.skipping&&!a)return null;for(var g=null,p=t.length/Qh,b=!a,w=0;w<t.length;w++){var 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ait(t){if(!(t>=0))throw qw(new $v("tolerance ("+t+") must be >= 0"));return t}function oit(){return aTe||kut(aTe=new LFt,Ast(Zx($ie,1),HKt,130,0,[new Oh])),aTe}function sit(){sit=I,Zye=new US(hQt,0),qye=new US("INPUT",1),Hye=new US("OUTPUT",2)}function cit(){cit=I,gle=new TS("ARD",0),ble=new TS("MSD",1),ple=new TS("MANUAL",2)}function uit(){uit=I,Ime=new VS("BARYCENTER",0),Lme=new VS(E1t,1),Dme=new VS(T1t,2)}function lit(t,e){var n;if(n=t.gc(),e<0||e>n)throw qw(new eR(e,n));return new FR(t,e)}function hit(t,e){var n;return aO(e,42)?t.c.Mc(e):(n=apt(t,e),Wpt(t,e),n)}function fit(t,e,n){return Ilt(t,e),Prt(t,n),Nnt(t,0),Pnt(t,1),eft(t,!0),Qht(t,!0),t}function dit(t,e){if(t<0)throw qw(new $v(e+" cannot be negative but was: "+t));return t}function git(t,e){var n,i;for(n=0,i=t.gc();n<i;++n)if(aW(e,t.Xb(n)))return n;return-1}function pit(t){var e;for(e=t.c.Cc().Kc();e.Ob();)zz(e.Pb(),14).$b();t.c.$b(),t.d=0}function bit(t){var e,n,i,r;for(i=0,r=(n=t.a).length;i<r;++i)XY(e=n[i],e.length,null)}function wit(t){var e,n;if(0==t)return 32;for(n=0,e=1;0==(e&t);e<<=1)++n;return n}function yit(t){var e;for(e=new Kd(ivt(t));e.a<e.c.c.length;)zz(t0(e),680).Gf()}function mit(t){yT(),this.g=new Pw,this.f=new Pw,this.b=new Pw,this.c=new wQ,this.i=t}function vit(){this.f=new Zk,this.d=new gm,this.c=new Zk,this.a=new Nw,this.b=new Nw}function xit(t,e,n,i){this.rj(),this.a=e,this.b=t,this.c=null,this.c=new fR(this,e,n,i)}function kit(t,e,n,i,r){this.d=t,this.n=e,this.g=n,this.o=i,this.p=-1,r||(this.o=-2-i-1)}function _it(){IO.call(this),this.n=-1,this.g=null,this.i=null,this.j=null,this.Bb|=k6t}function Eit(){return e$t(),Ast(Zx(iIe,1),OWt,259,0,[ZMe,YMe,HMe,GMe,KMe,XMe,WMe,UMe,qMe])}function Tit(){return nFt(),Ast(Zx(zie,1),OWt,250,0,[Fie,Die,Oie,Lie,Pie,Bie,Nie,Iie,Mie])}function Cit(){Cit=I,Lee=Ast(Zx(LNe,1),hXt,25,15,[0,8,4,12,2,10,6,14,1,9,5,13,3,11,7,15])}function Sit(){Sit=I,xme=pH(pH(pH(new 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tY(t,1,0,n,t.b))}function $it(t,e){var n;n=t.c,t.c=e,0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new tY(t,1,1,n,t.c))}function jit(t,e){var n;n=t.c,t.c=e,0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new tY(t,1,1,n,t.c))}function zit(t,e){var n;n=t.c,t.c=e,0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new tY(t,1,4,n,t.c))}function qit(t,e){var n;n=t.d,t.d=e,0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new tY(t,1,1,n,t.d))}function Hit(t,e){var n;n=t.D,t.D=e,0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new tY(t,1,2,n,t.D))}function Zit(t,e){t.r>0&&t.c<t.r&&(t.c+=e,t.i&&t.i.d>0&&0!=t.g&&Zit(t.i,e/t.r*t.i.d))}function Uit(t,e,n){var i;t.b=e,t.a=n,i=512==(512&t.a)?new jm:new Bl,t.c=CBt(i,t.b,t.a)}function Yit(t,e){return OPt(t.e,e)?(JT(),ltt(e)?new fH(e,t):new PM(e,t)):new RM(e,t)}function Git(t,e){return Qk(tat(t.a,e,pZ(odt(SWt,rW(pZ(odt(null==e?0:eut(e),AWt)),15)))))}function Kit(t,e,n){return P9(t,new hg(e),new ot,new fg(n),Ast(Zx(tie,1),OWt,132,0,[]))}function Wit(t){return 0>t?new WE:new DB(null,new m5(t+1,t))}function Xit(t,e){var n;return 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i,r,a;for(a=t.a.length-1,r=t.b,i=0;i<n;r=r+1&a,++i)DG(e,i,t.a[r])}function urt(t,e){var n;return xK(e),n=e.g,!t.b[n]&&(DG(t.b,n,e),++t.c,!0)}function lrt(t,e){var n;return!((n=null==e?-1:_9(t.b,e,0))<0||(hrt(t,n),0))}function hrt(t,e){var n;n=u6(t.b,t.b.c.length-1),e<t.b.c.length&&(a5(t.b,e,n),$At(t,e))}function frt(t,e){0==(x5(),Xne?null:e.c).length&&UB(e,new G),mJ(t.a,Xne?null:e.c,e)}function drt(t,e){LEt(e,"Hierarchical port constraint processing",1),gwt(t),QGt(t),HCt(e)}function grt(t,e){var n,i;for(i=e.Kc();i.Ob();)n=zz(i.Pb(),266),t.b=!0,EY(t.e,n),n.b=t}function prt(t,e){var n,i;return n=1-e,i=t.a[n],t.a[n]=i.a[e],i.a[e]=t,t.b=!0,i.b=!1,i}function brt(t,e){var n,i;return n=zz(vTt(t,(HGt(),uwe)),8),i=zz(vTt(e,uwe),8),Aft(n.b,i.b)}function wrt(t){FZ.call(this),this.b=Zv(TB(vTt(t,(HGt(),vwe)))),this.a=zz(vTt(t,Jpe),218)}function yrt(t,e,n){Z2.call(this,t,e,n),this.a=new Pw,this.b=new Pw,this.d=new Kp(this)}function mrt(t){this.e=t,this.d=new 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Kd(t.b);i.a<i.c.c.length;)(e=(n=zz(t0(i),214)).c.Rf()?n.f:n.a)&&pHt(e,n.j)}function cht(){cht=I,yAe=new qA("INHERIT",0),wAe=new qA("INCLUDE_CHILDREN",1),mAe=new qA("SEPARATE_CHILDREN",2)}function uht(t,e){switch(e){case 1:return!t.n&&(t.n=new nY(UIe,t,1,7)),void lHt(t.n);case 2:return void Oit(t,null)}Yst(t,e)}function lht(t){switch(t.gc()){case 0:return zte;case 1:return new SH(vG(t.Xb(0)));default:return new CV(t)}}function hht(t){switch(u$(),t.gc()){case 0:return WG(),Xte;case 1:return new vx(t.Kc().Pb());default:return new yC(t)}}function fht(t){switch(u$(),t.c){case 0:return WG(),Xte;case 1:return new vx(JAt(new XE(t)));default:return new uv(t)}}function dht(t,e){vG(t);try{return t.xc(e)}catch(t){if(aO(t=dst(t),205)||aO(t,173))return null;throw qw(t)}}function ght(t,e){vG(t);try{return t.Bc(e)}catch(t){if(aO(t=dst(t),205)||aO(t,173))return null;throw qw(t)}}function pht(t,e){vG(t);try{return t.Hc(e)}catch(t){if(aO(t=dst(t),205)||aO(t,173))return!1;throw qw(t)}}function bht(t,e){vG(t);try{return t.Mc(e)}catch(t){if(aO(t=dst(t),205)||aO(t,173))return!1;throw qw(t)}}function wht(t,e){vG(t);try{return t._b(e)}catch(t){if(aO(t=dst(t),205)||aO(t,173))return!1;throw qw(t)}}function yht(t,e){t.a.c.length>0&&but(zz(PH(t.a,t.a.c.length-1),570),e)||Kz(t.a,new w5(e))}function mht(t){var e,n;Z$(),e=t.d.c-t.e.c,Let((n=zz(t.g,145)).b,new kp(e)),Let(n.c,new _p(e)),n5(n.i,new Ep(e))}function vht(t){var e;return(e=new Ax).a+="VerticalSegment ",sI(e,t.e),e.a+=" ",cI(e,QO(new mx,new Kd(t.k))),e.a}function xht(t){var e;return(e=zz(ftt(t.c.c,""),229))||(e=new YJ(kk(xk(new ys,""),"Other")),Jbt(t.c.c,"",e)),e}function kht(t){var e;return 0!=(64&t.Db)?ADt(t):((e=new hN(ADt(t))).a+=" (name: ",aI(e,t.zb),e.a+=")",e.a)}function _ht(t,e,n){var i,r;return r=t.sb,t.sb=e,0!=(4&t.Db)&&0==(1&t.Db)&&(i=new tY(t,1,4,r,e),n?n.Ei(i):n=i),n}function Eht(t,e){var n,i;for(n=0,i=sdt(t,e).Kc();i.Ob();)n+=null!=vTt(zz(i.Pb(),11),(hKt(),_fe))?1:0;return n}function Tht(t,e,n){var i,r,a;for(i=0,a=lwt(t,0);a.b!=a.d.c&&!((r=Zv(TB(d3(a))))>n);)r>=e&&++i;return i}function Cht(t,e,n){var i;return i=new N9(t.e,3,13,null,e.c||(wKt(),fDe),cyt(t,e),!1),n?n.Ei(i):n=i,n}function Sht(t,e,n){var i;return i=new N9(t.e,4,13,e.c||(wKt(),fDe),null,cyt(t,e),!1),n?n.Ei(i):n=i,n}function Aht(t,e,n){var i,r;return r=t.r,t.r=e,0!=(4&t.Db)&&0==(1&t.Db)&&(i=new tY(t,1,8,r,t.r),n?n.Ei(i):n=i),n}function Mht(t,e){var n,i;return!(i=(n=zz(e,676)).vk())&&n.wk(i=aO(e,88)?new DM(t,zz(e,26)):new $0(t,zz(e,148))),i}function Iht(t,e,n){var i;t.qi(t.i+1),i=t.oi(e,n),e!=t.i&&sqt(t.g,e,t.g,e+1,t.i-e),DG(t.g,e,i),++t.i,t.bi(e,n),t.ci()}function Lht(t,e){var n;return e.a&&(n=e.a.a.length,t.a?cI(t.a,t.b):t.a=new fN(t.d),Z0(t.a,e.a,e.d.length,n)),t}function Dht(t,e){var n,i,r;if(e.vi(t.a),null!=(r=zz(xot(t.a,8),1936)))for(n=0,i=r.length;n<i;++n)null.jm()}function Oht(t,e){var n;return n=new ct,t.a.sd(n)?(AO(),new yv(xK(E9(t,n.a,e)))):(_K(t),AO(),AO(),Cne)}function Nht(t,e){switch(e.g){case 2:case 1:return sdt(t,e);case 3:case 4:return iot(sdt(t,e))}return CX(),CX(),lne}function Pht(t,e){return GM(t)?mR(t,e):YM(t)?yR(t,e):UM(t)?(xK(t),ZM(t)===ZM(e)):iU(t)?t.Fb(e):LZ(t)?jI(t,e):y0(t,e)}function Bht(t){return t?0!=(1&t.i)?t==DNe?kee:t==LNe?Dee:t==BNe?Mee:t==PNe?Aee:t==ONe?Ree:t==FNe?jee:t==NNe?Tee:See:t:null}function Fht(t,e,n,i,r){0!=e&&0!=i&&(1==e?r[i]=byt(r,n,i,t[0]):1==i?r[e]=byt(r,t,e,n[0]):QIt(t,n,r,e,i))}function Rht(t,e){var n;0!=t.c.length&&(lL(n=zz(Vbt(t,P7(Ise,s1t,10,t.c.length,0,1)),193),new In),iIt(n,e))}function $ht(t,e){var n;0!=t.c.length&&(lL(n=zz(Vbt(t,P7(Ise,s1t,10,t.c.length,0,1)),193),new Ln),iIt(n,e))}function jht(t,e,n,i){switch(e){case 1:return!t.n&&(t.n=new nY(UIe,t,1,7)),t.n;case 2:return t.k}return Evt(t,e,n,i)}function zht(){zht=I,zSe=new RA(hQt,0),jSe=new RA(sQt,1),$Se=new RA(oQt,2),RSe=new RA(yQt,3),qSe=new RA("UP",4)}function qht(){qht=I,gse=new VC(VJt,0),dse=new VC("INSIDE_PORT_SIDE_GROUPS",1),fse=new VC("FORCE_MODEL_ORDER",2)}function Hht(t,e,n){if(t<0||e>n)throw qw(new Lv(vVt+t+kVt+e+", size: "+n));if(t>e)throw qw(new $v(vVt+t+xVt+e))}function Zht(t,e,n){if(e<0)oMt(t,n);else{if(!n.Ij())throw qw(new $v(a6t+n.ne()+o6t));zz(n,66).Nj().Vj(t,t.yh(),e)}}function Uht(t,e,n,i,r,a,o,s){var c;for(c=n;a<o;)c>=i||e<n&&s.ue(t[e],t[c])<=0?DG(r,a++,t[e++]):DG(r,a++,t[c++])}function Yht(t,e,n,i,r,a){this.e=new Nw,this.f=(sit(),Zye),Kz(this.e,t),this.d=e,this.a=n,this.b=i,this.f=r,this.c=a}function Ght(t,e){var n,i;for(i=new LO(t);i.e!=i.i.gc();)if(n=zz(kwt(i),26),ZM(e)===ZM(n))return!0;return!1}function Kht(t){var e,n,i,r;for(bKt(),i=0,r=(n=nwt()).length;i<r;++i)if(-1!=_9((e=n[i]).a,t,0))return e;return Mre}function Wht(t){return t>=65&&t<=70?t-65+10:t>=97&&t<=102?t-97+10:t>=48&&t<=57?t-48:0}function Xht(t){var e;return 0!=(64&t.Db)?ADt(t):((e=new hN(ADt(t))).a+=" (source: ",aI(e,t.d),e.a+=")",e.a)}function Vht(t,e,n){var i,r;return r=t.a,t.a=e,0!=(4&t.Db)&&0==(1&t.Db)&&(i=new tY(t,1,5,r,t.a),n?$_t(n,i):n=i),n}function Qht(t,e){var n;n=0!=(256&t.Bb),e?t.Bb|=256:t.Bb&=-257,0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new e6(t,1,2,n,e))}function Jht(t,e){var n;n=0!=(256&t.Bb),e?t.Bb|=256:t.Bb&=-257,0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new e6(t,1,8,n,e))}function tft(t,e){var n;n=0!=(256&t.Bb),e?t.Bb|=256:t.Bb&=-257,0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new e6(t,1,8,n,e))}function eft(t,e){var n;n=0!=(512&t.Bb),e?t.Bb|=512:t.Bb&=-513,0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new e6(t,1,3,n,e))}function nft(t,e){var n;n=0!=(512&t.Bb),e?t.Bb|=512:t.Bb&=-513,0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new e6(t,1,9,n,e))}function ift(t,e){var n;return-1==t.b&&t.a&&(n=t.a.Gj(),t.b=n?t.c.Xg(t.a.aj(),n):Dgt(t.c.Tg(),t.a)),t.c.Og(t.b,e)}function rft(t){var e,n;return t>-129&&t<128?(e=t+128,!(n=(eH(),Iee)[e])&&(n=Iee[e]=new Pd(t)),n):new Pd(t)}function aft(t){var e,n;return t>-129&&t<128?(e=t+128,!(n=(EH(),$ee)[e])&&(n=$ee[e]=new Fd(t)),n):new Fd(t)}function oft(t){var e;return t.k==(cCt(),Tse)&&((e=zz(vTt(t,(hKt(),Xhe)),61))==(kYt(),uMe)||e==CMe)}function sft(t,e,n){var i,r;return(r=ODt(t.b,e))&&(i=zz(Pqt(j9(t,r),""),26))?vDt(t,i,e,n):null}function cft(t,e,n){var i,r;return(r=ODt(t.b,e))&&(i=zz(Pqt(j9(t,r),""),26))?xDt(t,i,e,n):null}function uft(t,e){var n,i;for(i=new LO(t);i.e!=i.i.gc();)if(n=zz(kwt(i),138),ZM(e)===ZM(n))return!0;return!1}function lft(t,e,n){var i;if(e>(i=t.gc()))throw qw(new eR(e,i));if(t.hi()&&t.Hc(n))throw qw(new $v(s7t));t.Xh(e,n)}function hft(t,e){var n;if(null==(n=lnt(t.i,e)))throw qw(new nx("Node did not exist in input."));return $at(e,n),null}function fft(t,e){var n;if(aO(n=PNt(t,e),322))return zz(n,34);throw qw(new $v(a6t+e+"' is not a valid attribute"))}function dft(t,e,n){var i,r;for(r=aO(e,99)&&0!=(zz(e,18).Bb&qXt)?new PI(e,t):new Dot(e,t),i=0;i<n;++i)oyt(r);return r}function gft(t){var e,n,i;for(i=0,n=t.length,e=0;e<n;e++)32==t[e]||13==t[e]||10==t[e]||9==t[e]||(t[i++]=t[e]);return i}function pft(t){var e,n,i;for(e=new Nw,i=new Kd(t.b);i.a<i.c.c.length;)n=zz(t0(i),594),wst(e,zz(n.jf(),14));return e}function bft(t){var e,n;for(n=zz(vTt(t,(ZHt(),fxe)),15).Kc();n.Ob();)Bq((e=zz(n.Pb(),188)).b.d,e),Bq(e.c.b,e)}function wft(t){switch(zz(vTt(t,(hKt(),ife)),303).g){case 1:hct(t,ife,(U9(),Che));break;case 2:hct(t,ife,(U9(),Ahe))}}function yft(t){var e;t.g&&(BPt((e=t.c.Rf()?t.f:t.a).a,t.o,!0),BPt(e.a,t.o,!1),hct(t.o,(HGt(),nwe),(V_t(),YAe)))}function mft(t){var e;if(!t.a)throw qw(new jv("Cannot offset an unassigned cut."));e=t.c-t.b,t.b+=e,PX(t,e),NX(t,e)}function vft(t){var e;return null==(e=t.a[t.c-1&t.a.length-1])?null:(t.c=t.c-1&t.a.length-1,DG(t.a,t.c,null),e)}function xft(t){var e,n;for(n=t.p.a.ec().Kc();n.Ob();)if((e=zz(n.Pb(),213)).f&&t.b[e.c]<-1e-10)return e;return null}function kft(t,e){switch(t.b.g){case 0:case 1:return e;case 2:case 3:return new YW(e.d,0,e.a,e.b);default:return null}}function _ft(t){switch(t.g){case 2:return jSe;case 1:return $Se;case 4:return RSe;case 3:return qSe;default:return zSe}}function Eft(t){switch(t.g){case 1:return AMe;case 2:return uMe;case 3:return cMe;case 4:return CMe;default:return SMe}}function Tft(t){switch(t.g){case 1:return CMe;case 2:return AMe;case 3:return uMe;case 4:return cMe;default:return SMe}}function Cft(t){switch(t.g){case 1:return cMe;case 2:return CMe;case 3:return AMe;case 4:return uMe;default:return SMe}}function Sft(t){switch(t){case 0:return new mm;case 1:return new wm;case 2:return new ym;default:throw qw(new gy)}}function Aft(t,e){return t<e?-1:t>e?1:t==e?0==t?Aft(1/t,1/e):0:isNaN(t)?isNaN(e)?0:1:-1}function Mft(t,e){LEt(e,"Sort end labels",1),QE(LW(gtt(new FH(null,new g1(t.b,16)),new gn),new pn),new bn),HCt(e)}function Ift(t,e,n){var i,r;return t.ej()?(r=t.fj(),i=QMt(t,e,n),t.$i(t.Zi(7,rft(n),i,e,r)),i):QMt(t,e,n)}function Lft(t,e){var n,i,r;null==t.d?(++t.e,--t.f):(r=e.cd(),N6(t,i=((n=e.Sh())&FKt)%t.d.length,DDt(t,i,n,r)))}function Dft(t,e){var n;n=0!=(t.Bb&k6t),e?t.Bb|=k6t:t.Bb&=-1025,0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new e6(t,1,10,n,e))}function Oft(t,e){var n;n=0!=(t.Bb&jXt),e?t.Bb|=jXt:t.Bb&=-4097,0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new e6(t,1,12,n,e))}function Nft(t,e){var n;n=0!=(t.Bb&T8t),e?t.Bb|=T8t:t.Bb&=-8193,0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new e6(t,1,15,n,e))}function Pft(t,e){var n;n=0!=(t.Bb&C8t),e?t.Bb|=C8t:t.Bb&=-2049,0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new e6(t,1,11,n,e))}function Bft(t,e){var n;return 0!=(n=Aft(t.b.c,e.b.c))||0!=(n=Aft(t.a.a,e.a.a))?n:Aft(t.a.b,e.a.b)}function Fft(t,e){var n;if(null==(n=FG(t.k,e)))throw qw(new nx("Port did not exist in input."));return $at(e,n),null}function Rft(t){var e,n;for(n=UDt(Get(t)).Kc();n.Ob();)if(P$t(t,e=CB(n.Pb())))return v4((YT(),FLe),e);return null}function $ft(t,e){var n,i,r,a,o;for(o=sPt(t.e.Tg(),e),a=0,n=zz(t.g,119),r=0;r<t.i;++r)i=n[r],o.rl(i.ak())&&++a;return a}function jft(t,e,n){var i,r;return i=zz(e.We(t.a),35),r=zz(n.We(t.a),35),null!=i&&null!=r?Pat(i,r):null!=i?-1:null!=r?1:0}function zft(t,e,n){var i;if(t.c)dTt(t.c,e,n);else for(i=new Kd(t.b);i.a<i.c.c.length;)zft(zz(t0(i),157),e,n)}function qft(t,e){var n,i;for(i=new Kd(e);i.a<i.c.c.length;)n=zz(t0(i),46),v9(t.b.b,n.b),sV(zz(n.a,189),zz(n.b,81))}function Hft(t){var e,n;for(n=PG(new Ax,91),e=!0;t.Ob();)e||(n.a+=zKt),e=!1,sI(n,t.Pb());return(n.a+="]",n).a}function Zft(t,e){var n;n=0!=(t.Bb&hWt),e?t.Bb|=hWt:t.Bb&=-16385,0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new e6(t,1,16,n,e))}function Uft(t,e){var n;n=0!=(t.Bb&h6t),e?t.Bb|=h6t:t.Bb&=-32769,0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new e6(t,1,18,n,e))}function Yft(t,e){var n;n=0!=(t.Bb&h6t),e?t.Bb|=h6t:t.Bb&=-32769,0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new e6(t,1,18,n,e))}function Gft(t,e){var n;n=0!=(t.Bb&qXt),e?t.Bb|=qXt:t.Bb&=-65537,0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new e6(t,1,20,n,e))}function Kft(t){var e;return e=P7(INe,WWt,25,2,15,1),t-=qXt,e[0]=(t>>10)+HXt&VWt,e[1]=56320+(1023&t)&VWt,qpt(e,0,e.length)}function Wft(t){var e;return(e=zz(vTt(t,(HGt(),Ype)),103))==(zht(),zSe)?Zv(TB(vTt(t,_pe)))>=1?jSe:RSe:e}function Xft(t){switch(zz(vTt(t,(HGt(),Jpe)),218).g){case 1:return new ia;case 3:return new ca;default:return new na}}function Vft(t){if(t.c)Vft(t.c);else if(t.d)throw qw(new jv("Stream already terminated, can't be modified or used"))}function Qft(t){var e;return 0!=(64&t.Db)?ADt(t):((e=new hN(ADt(t))).a+=" (identifier: ",aI(e,t.k),e.a+=")",e.a)}function Jft(t,e,n){var i;return e_(),_nt(i=new ac,e),Ent(i,n),t&&h8((!t.a&&(t.a=new DO(PIe,t,5)),t.a),i),i}function tdt(t,e,n,i){var r,a;return xK(i),xK(n),null==(a=null==(r=t.xc(e))?n:JE(zz(r,15),zz(n,14)))?t.Bc(e):t.zc(e,a),a}function edt(t){var e,n,i,r;return urt(n=new VR(e=zz(Wk((r=(i=t.gm).f)==Gte?i:r),9),zz(CF(e,e.length),9),0),t),n}function ndt(t,e,n){var i,r;for(r=t.a.ec().Kc();r.Ob();)if(i=zz(r.Pb(),10),ust(n,zz(PH(e,i.p),14)))return i;return null}function idt(t,e,n){try{jct(t,e,n)}catch(t){throw aO(t=dst(t),597)?qw(new b5(t)):qw(t)}return e}function rdt(t,e){var n;return 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e,n;for(e=new Nw,n=new Kd(t.j);n.a<n.c.c.length;)Kz(e,zz(t0(n),11).g);return vG(e),new II(e)}function gdt(t){var e,n;for(n=nDt(Get(pJ(t))).Kc();n.Ob();)if(P$t(t,e=CB(n.Pb())))return x4((GT(),YLe),e);return null}function pdt(t){var e,n;for(e=0,n=t.length;e<n;e++)if(null==t[e])throw qw(new qv("at index "+e));return new Qv(t)}function bdt(t,e){var n;if(aO(n=PNt(t.Tg(),e),99))return zz(n,18);throw qw(new $v(a6t+e+"' is not a valid reference"))}function wdt(t){var e;return(e=gCt(t))>34028234663852886e22?RXt:e<-34028234663852886e22?$Xt:e}function ydt(t){return t=((t=((t-=t>>1&1431655765)>>2&858993459)+(858993459&t))>>4)+t&252645135,t+=t>>8,63&(t+=t>>16)}function mdt(t){var e,n,i;for(e=new lF(t.Hd().gc()),i=0,n=O8(t.Hd().Kc());n.Ob();)kJ(e,n.Pb(),rft(i++));return PCt(e.a)}function vdt(t,e){var n,i,r;for(r=new Pw,i=e.vc().Kc();i.Ob();)WK(r,(n=zz(i.Pb(),42)).cd(),dot(t,zz(n.dd(),15)));return r}function xdt(t,e){0==t.n.c.length&&Kz(t.n,new 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bA("GRAPH_SIZE_CALCULATION",2)}function Idt(t,e){return lD(),ait($Wt),n.Math.abs(t-e)<=$Wt||t==e||isNaN(t)&&isNaN(e)?0:t<e?-1:t>e?1:UI(isNaN(t),isNaN(e))}function Ldt(t,e){var n,i;for(n=lwt(t,0);n.b!=n.d.c;){if((i=Uv(TB(d3(n))))==e)return;if(i>e){Y0(n);break}}tG(n,e)}function Ddt(t,e){var n,i,r,a,o;if(n=e.f,Jbt(t.c.d,n,e),null!=e.g)for(a=0,o=(r=e.g).length;a<o;++a)i=r[a],Jbt(t.c.e,i,e)}function Odt(t,e,n,i){var r,a,o;for(r=e+1;r<n;++r)for(a=r;a>e&&i.ue(t[a-1],t[a])>0;--a)o=t[a],DG(t,a,t[a-1]),DG(t,a-1,o)}function Ndt(t,e,n,i){if(e<0)TOt(t,n,i);else{if(!n.Ij())throw qw(new $v(a6t+n.ne()+o6t));zz(n,66).Nj().Tj(t,t.yh(),e,i)}}function Pdt(t,e){if(e==t.d)return t.e;if(e==t.e)return t.d;throw qw(new $v("Node "+e+" not part of edge "+t))}function Bdt(t,e){switch(e.g){case 2:return t.b;case 1:return t.c;case 4:return t.d;case 3:return t.a;default:return!1}}function Fdt(t,e){switch(e.g){case 2:return t.b;case 1:return t.c;case 4:return t.d;case 3:return t.a;default:return!1}}function Rdt(t,e,n,i){switch(e){case 3:return t.f;case 4:return t.g;case 5:return t.i;case 6:return t.j}return jht(t,e,n,i)}function $dt(t){return t.k==(cCt(),Ase)&&c5(new FH(null,new UY(new cU(JO(ddt(t).a.Kc(),new l)))),new Hr)}function jdt(t){return null==t.e?t:(!t.c&&(t.c=new aFt(0!=(256&t.f),t.i,t.a,t.d,0!=(16&t.f),t.j,t.g,null)),t.c)}function zdt(t,e){return t.h==MXt&&0==t.m&&0==t.l?(e&&(dee=TD(0,0,0)),KI((G9(),bee))):(e&&(dee=TD(t.l,t.m,t.h)),TD(0,0,0))}function qdt(t){return Array.isArray(t)&&t.im===M?t_(nut(t))+"@"+(eut(t)>>>0).toString(16):t.toString()}function Hdt(t){var e;this.a=new VR(e=zz(t.e&&t.e(),9),zz(CF(e,e.length),9),0),this.b=P7(Dte,HKt,1,this.a.a.length,5,1)}function Zdt(t){var e,n,i;for(this.a=new hL,i=new Kd(t);i.a<i.c.c.length;)n=zz(t0(i),14),grt(e=new lZ,n),EY(this.a,e)}function Udt(t){var e,n;for(HB(),e=t.o.b,n=zz(zz(l6(t.r,(kYt(),CMe)),21),84).Kc();n.Ob();)zz(n.Pb(),111).e.b+=e}function Ydt(t){var e;if(t.b){if(Ydt(t.b),t.b.d!=t.c)throw qw(new yy)}else t.d.dc()&&(e=zz(t.f.c.xc(t.e),14))&&(t.d=e)}function Gdt(t){var e;return null==t||(e=t.length)>0&&(d1(e-1,t.length),58==t.charCodeAt(e-1))&&!Kdt(t,OLe,NLe)}function Kdt(t,e,n){var i,r;for(i=0,r=t.length;i<r;i++)if(nct((d1(i,t.length),t.charCodeAt(i)),e,n))return!0;return!1}function Wdt(t,e){var n,i;for(i=t.e.a.ec().Kc();i.Ob();)if(nCt(e,(n=zz(i.Pb(),266)).d)||IAt(e,n.d))return!0;return!1}function Xdt(t,e){var n,i,r;for(r=(i=HFt(t,e))[i.length-1]/2,n=0;n<i.length;n++)if(i[n]>=r)return e.c+n;return e.c+e.b.gc()}function Vdt(t,e){var n,i,r,a;for(pB(),r=e,U8(i=q8(t),0,i.length,r),n=0;n<i.length;n++)n!=(a=wxt(t,i[n],n))&&Ift(t,n,a)}function Qdt(t,e){var n,i,r,a,o,s;for(i=0,n=0,o=0,s=(a=e).length;o<s;++o)(r=a[o])>0&&(i+=r,++n);return n>1&&(i+=t.d*(n-1)),i}function Jdt(t){var e,n,i;for((i=new Cx).a+="[",e=0,n=t.gc();e<n;)aI(i,xN(t.ki(e))),++e<n&&(i.a+=zKt);return i.a+="]",i.a}function tgt(t){var e,n,i;return i=DEt(t),!K_(t.c)&&(ret(i,"knownLayouters",n=new Af),e=new rw(n),n5(t.c,e)),i}function egt(t,e){var n,i;for(xK(e),n=!1,i=new Kd(t);i.a<i.c.c.length;)xgt(e,t0(i),!1)&&(LY(i),n=!0);return n}function ngt(t){var e,n;for(n=Zv(TB(t.a.We((lKt(),ISe)))),e=new Kd(t.a.xf());e.a<e.c.c.length;)XYt(t,zz(t0(e),680),n)}function igt(t,e){var n,i;for(i=new Kd(e);i.a<i.c.c.length;)n=zz(t0(i),46),Kz(t.b.b,zz(n.b,81)),b2(zz(n.a,189),zz(n.b,81))}function rgt(t,e,n){var i,r;for(i=(r=t.a.b).c.length;i<n;i++)xZ(r,0,new qG(t.a));SJ(e,zz(PH(r,r.c.length-n),29)),t.b[e.p]=n}function agt(t,e,n){var i;!(i=n)&&(i=Oq(new Gm,0)),LEt(i,ZJt,2),vyt(t.b,e,vat(i,1)),$Ht(t,e,vat(i,1)),ZYt(e,vat(i,1)),HCt(i)}function ogt(t,e,n,i,r){zJ(),GNt(oT(aT(rT(sT(new qy,0),r.d.e-t),e),r.d)),GNt(oT(aT(rT(sT(new qy,0),n-r.a.e),r.a),i))}function sgt(t,e,n,i,r,a){this.a=t,this.c=e,this.b=n,this.f=i,this.d=r,this.e=a,this.c>0&&this.b>0&&VH(this.c,this.b,this.a)}function cgt(t){Rgt(),this.c=s6(Ast(Zx(rTe,1),HKt,831,0,[Kwe])),this.b=new Pw,this.a=t,WK(this.b,Wwe,1),Let(Xwe,new Sb(this))}function ugt(t,e){var n;return t.d?lY(t.b,e)?zz(FG(t.b,e),51):(n=e.Kf(),WK(t.b,e,n),n):e.Kf()}function lgt(t,e){var n;return ZM(t)===ZM(e)||!!aO(e,91)&&(n=zz(e,91),t.e==n.e&&t.d==n.d&&_4(t,n.a))}function hgt(t){switch(kYt(),t.g){case 4:return uMe;case 1:return cMe;case 3:return CMe;case 2:return AMe;default:return SMe}}function fgt(t,e){switch(e){case 3:return 0!=t.f;case 4:return 0!=t.g;case 5:return 0!=t.i;case 6:return 0!=t.j}return Eot(t,e)}function dgt(t){switch(t.g){case 0:return new Uo;case 1:return new Yo;default:throw qw(new $v(o4t+(null!=t.f?t.f:""+t.g)))}}function ggt(t){switch(t.g){case 0:return new Zo;case 1:return new Go;default:throw qw(new $v(C1t+(null!=t.f?t.f:""+t.g)))}}function pgt(t){switch(t.g){case 0:return new Wm;case 1:return new vm;default:throw qw(new $v(P4t+(null!=t.f?t.f:""+t.g)))}}function bgt(t){switch(t.g){case 1:return new Ro;case 2:return new bB;default:throw qw(new $v(o4t+(null!=t.f?t.f:""+t.g)))}}function wgt(t){var e,n;if(t.b)return t.b;for(n=Xne?null:t.d;n;){if(e=Xne?null:n.b)return e;n=Xne?null:n.d}return fT(),qne}function ygt(t){var e,n;return 0==t.e?0:(e=t.d<<5,n=t.a[t.d-1],t.e<0&&Mat(t)==t.d-1&&(--n,n|=0),e-=tIt(n))}function mgt(t){var e,n,i;return t<nne.length?nne[t]:(e=31&t,(i=P7(LNe,hXt,25,1+(n=t>>5),15,1))[n]=1<<e,new fY(1,n+1,i))}function vgt(t){var e,n,i;return(n=t.zg())?aO(e=t.Ug(),160)&&null!=(i=vgt(zz(e,160)))?i+"."+n:n:null}function xgt(t,e,n){var i,r;for(r=t.Kc();r.Ob();)if(i=r.Pb(),ZM(e)===ZM(i)||null!=e&&Pht(e,i))return n&&r.Qb(),!0;return!1}function kgt(t,e,n){var i,r;if(++t.j,n.dc())return!1;for(r=n.Kc();r.Ob();)i=r.Pb(),t.Hi(e,t.oi(e,i)),++e;return!0}function _gt(t,e,n,i){var r,a;if((a=n-e)<3)for(;a<3;)t*=10,++a;else{for(r=1;a>3;)r*=10,--a;t=(t+(r>>1))/r|0}return i.i=t,!0}function Egt(t){return Slt(),lN(),!!(Fdt(zz(t.a,81).j,zz(t.b,103))||0!=zz(t.a,81).d.e&&Fdt(zz(t.a,81).j,zz(t.b,103)))}function Tgt(t){P8(),zz(t.We((lKt(),HCe)),174).Hc((e$t(),WMe))&&(zz(t.We(hSe),174).Fc((dMt(),aMe)),zz(t.We(HCe),174).Mc(WMe))}function Cgt(t,e){var n;if(e){for(n=0;n<t.i;++n)if(zz(t.g[n],366).Di(e))return!1;return h8(t,e)}return!1}function Sgt(t){var e,n,i;for(e=new Af,i=new Hd(t.b.Kc());i.b.Ob();)n=XCt(zz(i.b.Pb(),686)),KY(e,e.a.length,n);return e.a}function Agt(t){var e;return!t.c&&(t.c=new Ot),mD(t.d,new Pt),QRt(t),e=dBt(t),QE(new FH(null,new g1(t.d,16)),new Mg(t)),e}function Mgt(t){var e;return 0!=(64&t.Db)?kht(t):((e=new hN(kht(t))).a+=" (instanceClassName: ",aI(e,t.D),e.a+=")",e.a)}function Igt(t,e){var n,i;e&&(n=Rnt(e,"x"),Tnt(new Jb(t).a,(xK(n),n)),i=Rnt(e,"y"),Lnt(new tw(t).a,(xK(i),i)))}function Lgt(t,e){var n,i;e&&(n=Rnt(e,"x"),Int(new Wb(t).a,(xK(n),n)),i=Rnt(e,"y"),Dnt(new Vb(t).a,(xK(i),i)))}function Dgt(t,e){var n,i,r;if(null==t.i&&Zjt(t),n=t.i,-1!=(i=e.aj()))for(r=n.length;i<r;++i)if(n[i]==e)return i;return-1}function Ogt(t){var e,n,i,r;for(n=zz(t.g,674),i=t.i-1;i>=0;--i)for(e=n[i],r=0;r<i;++r)if(mjt(t,e,n[r])){Nvt(t,i);break}}function Ngt(t){var e=t.e;function n(t){return t&&0!=t.length?"\t"+t.join("\n\t"):""}return e&&(e.stack||n(t[GWt]))}function Pgt(t){var e;switch(KG(),(e=t.Pc()).length){case 0:return zte;case 1:return new SH(vG(e[0]));default:return new CV(pdt(e))}}function Bgt(t,e){switch(e.g){case 1:return Rz(t.j,(wat(),Nse));case 2:return Rz(t.j,(wat(),Bse));default:return CX(),CX(),lne}}function Fgt(t,e){switch(e){case 3:return void Cnt(t,0);case 4:return void Snt(t,0);case 5:return void Ant(t,0);case 6:return void Mnt(t,0)}uht(t,e)}function Rgt(){Rgt=I,LT(),HGt(),Wwe=Iwe,Xwe=s6(Ast(Zx(fTe,1),k3t,146,0,[mwe,vwe,kwe,_we,Cwe,Swe,Awe,Mwe,Dwe,Nwe,xwe,Ewe,Lwe]))}function $gt(t){var e,n;e=t.d==(OSt(),Que),n=O_t(t),hct(t.a,(HGt(),xpe),e&&!n||!e&&n?(pyt(),DTe):(pyt(),LTe))}function jgt(t,e){var n;return(n=zz(S4(t,m8(new q,new z,new it,Ast(Zx(tie,1),OWt,132,0,[(Zut(),Yne)]))),15)).Qc(fq(n.gc()))}function 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Wgt(t){var e;return null==t?null:new DL((e=zzt(t,!0)).length>0&&(d1(0,e.length),43==e.charCodeAt(0))?e.substr(1):e)}function Xgt(t){var e;return null==t?null:new DL((e=zzt(t,!0)).length>0&&(d1(0,e.length),43==e.charCodeAt(0))?e.substr(1):e)}function Vgt(t,e){return t.i>0&&(e.length<t.i&&(e=Fnt(nut(e).c,t.i)),sqt(t.g,0,e,0,t.i)),e.length>t.i&&DG(e,t.i,null),e}function Qgt(t,e,n){var i,r,a;return t.ej()?(i=t.i,a=t.fj(),Iht(t,i,e),r=t.Zi(3,null,e,i,a),n?n.Ei(r):n=r):Iht(t,t.i,e),n}function Jgt(t,e,n){var i,r;return i=new N9(t.e,4,10,aO(r=e.c,88)?zz(r,26):(wKt(),pDe),null,cyt(t,e),!1),n?n.Ei(i):n=i,n}function tpt(t,e,n){var i,r;return i=new N9(t.e,3,10,null,aO(r=e.c,88)?zz(r,26):(wKt(),pDe),cyt(t,e),!1),n?n.Ei(i):n=i,n}function ept(t){var e;return HB(),e=new gL(zz(t.e.We((lKt(),zCe)),8)),t.B.Hc((e$t(),ZMe))&&(e.a<=0&&(e.a=20),e.b<=0&&(e.b=20)),e}function npt(t){return gyt(),(t.q?t.q:(CX(),CX(),hne))._b((HGt(),Fbe))?zz(vTt(t,Fbe),197):zz(vTt(yK(t),Rbe),197)}function ipt(t,e){var n,i;return i=null,OP(t,(HGt(),Twe))&&(n=zz(vTt(t,Twe),94)).Xe(e)&&(i=n.We(e)),null==i&&(i=vTt(yK(t),e)),i}function rpt(t,e){var n,i,r;return!!aO(e,42)&&(i=(n=zz(e,42)).cd(),gK(r=dht(t.Rc(),i),n.dd())&&(null!=r||t.Rc()._b(i)))}function apt(t,e){var n;return t.f>0&&(t.qj(),-1!=DDt(t,((n=null==e?0:eut(e))&FKt)%t.d.length,n,e))}function opt(t,e){var n,i;return t.f>0&&(t.qj(),n=sIt(t,((i=null==e?0:eut(e))&FKt)%t.d.length,i,e))?n.dd():null}function spt(t,e){var n,i,r,a;for(a=sPt(t.e.Tg(),e),n=zz(t.g,119),r=0;r<t.i;++r)if(i=n[r],a.rl(i.ak()))return!1;return!0}function cpt(t){if(null==t.b){for(;t.a.Ob();)if(t.b=t.a.Pb(),!zz(t.b,49).Zg())return!0;return t.b=null,!1}return!0}function upt(t,e){t.mj();try{t.d.Vc(t.e++,e),t.f=t.d.j,t.g=-1}catch(t){throw aO(t=dst(t),73)?qw(new yy):qw(t)}}function lpt(t,e){var n,i;return uD(),i=null,e==(n=hF((hx(),hx(),aee)))&&(i=zz(CQ(ree,t),615)),i||(i=new UG(t),e==n&&mJ(ree,t,i)),i}function hpt(t,e){var i,r;t.a=adt(t.a,1),t.c=n.Math.min(t.c,e),t.b=n.Math.max(t.b,e),t.d+=e,i=e-t.f,r=t.e+i,t.f=r-t.e-i,t.e=r}function fpt(t,e){var n;t.c=e,t.a=ygt(e),t.a<54&&(t.f=(n=e.d>1?i0(vU(e.a[1],32),n0(e.a[0],GXt)):n0(e.a[0],GXt),k2(odt(e.e,n))))}function dpt(t,e){var n;return QI(t)&&QI(e)&&OXt<(n=t%e)&&n<LXt?n:cot((DHt(QI(t)?Aot(t):t,QI(e)?Aot(e):e,!0),dee))}function gpt(t,e){var n;FUt(e),(n=zz(vTt(t,(HGt(),Qpe)),276))&&hct(t,Qpe,Dvt(n)),tP(t.c),tP(t.f),W6(t.d),W6(zz(vTt(t,Lbe),207))}function ppt(t){this.e=P7(LNe,hXt,25,t.length,15,1),this.c=P7(DNe,tQt,25,t.length,16,1),this.b=P7(DNe,tQt,25,t.length,16,1),this.f=0}function bpt(t){var e,n;for(t.j=P7(PNe,ZXt,25,t.p.c.length,15,1),n=new Kd(t.p);n.a<n.c.c.length;)e=zz(t0(n),10),t.j[e.p]=e.o.b/t.i}function wpt(t){var e;0!=t.c&&(1==(e=zz(PH(t.a,t.b),287)).b?(++t.b,t.b<t.a.c.length&&Ed(zz(PH(t.a,t.b),287))):--e.b,--t.c)}function ypt(t){var e;e=t.a;do{(e=zz(Y5(new cU(JO(ddt(e).a.Kc(),new 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i,r,a;for(r=null,a=t.b;a;){if(i=t.a.ue(e,a.d),n&&0==i)return a;i>=0?a=a.a[1]:(r=a,a=a.a[0])}return r}function Spt(t,e,n){var i,r,a;for(r=null,a=t.b;a;){if(i=t.a.ue(e,a.d),n&&0==i)return a;i<=0?a=a.a[0]:(r=a,a=a.a[1])}return r}function Apt(t,e,n,i){var r,a,o;return r=!1,NZt(t.f,n,i)&&(Bbt(t.f,t.a[e][n],t.a[e][i]),o=(a=t.a[e])[i],a[i]=a[n],a[n]=o,r=!0),r}function Mpt(t,e,n,i,r){var a,o,s;for(o=r;e.b!=e.c;)a=zz(pY(e),10),s=zz(sdt(a,i).Xb(0),11),t.d[s.p]=o++,n.c[n.c.length]=s;return o}function Ipt(t,e,i){var r,a,o,s,c;return s=t.k,c=e.k,a=TB(ipt(t,r=i[s.g][c.g])),o=TB(ipt(e,r)),n.Math.max((xK(a),a),(xK(o),o))}function Lpt(t,e,n){var i,r,a,o;for(i=n/t.c.length,r=0,o=new Kd(t);o.a<o.c.c.length;)wlt(a=zz(t0(o),200),a.f+i*r),skt(a,e,i),++r}function Dpt(t,e,n){var i,r,a;for(r=zz(FG(t.b,n),177),i=0,a=new Kd(e.j);a.a<a.c.c.length;)r[zz(t0(a),113).d.p]&&++i;return i}function Opt(t){var e,n;return null!=(e=zz(xot(t.a,4),126))?(sqt(e,0,n=P7(pLe,r8t,415,e.length,0,1),0,e.length),n):gLe}function Npt(){var t;return 0!=oee&&(t=f5())-see>2e3&&(see=t,cee=n.setTimeout(X_,10)),0==oee++&&(Itt((ux(),nee)),!0)}function Ppt(t,e){var n;for(n=new cU(JO(ddt(t).a.Kc(),new l));bLt(n);)if(zz(Y5(n),17).d.i.c==e)return!1;return!0}function Bpt(t,e){var n;if(aO(e,245)){n=zz(e,245);try{return 0==t.vd(n)}catch(t){if(!aO(t=dst(t),205))throw qw(t)}}return!1}function Fpt(){return Error.stackTraceLimit>0?(n.Error.stackTraceLimit=Error.stackTraceLimit=64,!0):"stack"in new Error}function Rpt(t,e){return lD(),lD(),ait($Wt),(n.Math.abs(t-e)<=$Wt||t==e||isNaN(t)&&isNaN(e)?0:t<e?-1:t>e?1:UI(isNaN(t),isNaN(e)))>0}function $pt(t,e){return lD(),lD(),ait($Wt),(n.Math.abs(t-e)<=$Wt||t==e||isNaN(t)&&isNaN(e)?0:t<e?-1:t>e?1:UI(isNaN(t),isNaN(e)))<0}function jpt(t,e){return lD(),lD(),ait($Wt),(n.Math.abs(t-e)<=$Wt||t==e||isNaN(t)&&isNaN(e)?0:t<e?-1:t>e?1:UI(isNaN(t),isNaN(e)))<=0}function zpt(t,e){for(var n=0;!e[n]||""==e[n];)n++;for(var i=e[n++];n<e.length;n++)e[n]&&""!=e[n]&&(i+=t+e[n]);return i}function qpt(t,e,i){var r,a,o,s;for($7(e,o=e+i,t.length),s="",a=e;a<o;)r=n.Math.min(a+1e4,o),s+=KK(t.slice(a,r)),a=r;return s}function Hpt(t){var e,n,i,r;if(null==t)return null;for(r=new Nw,n=0,i=(e=xut(t)).length;n<i;++n)Kz(r,zzt(e[n],!0));return r}function Zpt(t){var e,n,i,r;if(null==t)return null;for(r=new Nw,n=0,i=(e=xut(t)).length;n<i;++n)Kz(r,zzt(e[n],!0));return r}function Upt(t){var e,n,i,r;if(null==t)return null;for(r=new Nw,n=0,i=(e=xut(t)).length;n<i;++n)Kz(r,zzt(e[n],!0));return r}function Ypt(t,e){var n,i,r;if(t.c)Snt(t.c,e);else for(n=e-iZ(t),r=new Kd(t.d);r.a<r.c.c.length;)Ypt(i=zz(t0(r),157),iZ(i)+n)}function Gpt(t,e){var n,i,r;if(t.c)Cnt(t.c,e);else for(n=e-nZ(t),r=new Kd(t.a);r.a<r.c.c.length;)Gpt(i=zz(t0(r),157),nZ(i)+n)}function Kpt(t,e){var n,i,r;for(i=new Q6(e.gc()),n=e.Kc();n.Ob();)(r=n$t(t,zz(n.Pb(),56)))&&(i.c[i.c.length]=r);return i}function Wpt(t,e){var n,i;return t.qj(),(n=sIt(t,((i=null==e?0:eut(e))&FKt)%t.d.length,i,e))?(hit(t,n),n.dd()):null}function Xpt(t){var e,n;for(n=cSt(t),e=null;2==t.c;)VGt(t),e||(pKt(),pKt(),nHt(e=new rD(2),n),n=e),n.$l(cSt(t));return n}function Vpt(t){if(!(Z6t in t.a))throw qw(new nx("Every element must have an id."));return kMt(UQ(t,Z6t))}function Qpt(t){var e,n,i;if(!(i=t.Zg()))for(e=0,n=t.eh();n;n=n.eh()){if(++e>UXt)return n.fh();if((i=n.Zg())||n==t)break}return i}function Jpt(t){return lJ(),aO(t,156)?zz(FG(lLe,vne),288).vg(t):lY(lLe,nut(t))?zz(FG(lLe,nut(t)),288).vg(t):null}function tbt(t){if(vbt(s5t,t))return lN(),mee;if(vbt(c5t,t))return lN(),yee;throw qw(new $v("Expecting true or false"))}function ebt(t,e){if(e.c==t)return e.d;if(e.d==t)return e.c;throw qw(new $v("Input edge is not connected to the input port."))}function nbt(t,e){return t.e>e.e?1:t.e<e.e?-1:t.d>e.d?t.e:t.d<e.d?-e.e:t.e*Cut(t.a,e.a,t.d)}function ibt(t){return t>=48&&t<48+n.Math.min(10,10)?t-48:t>=97&&t<97?t-97+10:t>=65&&t<65?t-65+10:-1}function rbt(t,e){var n;return ZM(e)===ZM(t)||!!aO(e,21)&&(n=zz(e,21)).gc()==t.gc()&&t.Ic(n)}function abt(t,e){var n,i,r;return i=t.a.length-1,n=e-t.b&i,r=t.c-e&i,_P(n<(t.c-t.b&i)),n>=r?(slt(t,e),-1):(clt(t,e),1)}function obt(t,e){var n,i;for(d1(e,t.length),n=t.charCodeAt(e),i=e+1;i<t.length&&(d1(i,t.length),t.charCodeAt(i)==n);)++i;return i-e}function sbt(t){switch(t.g){case 12:case 13:case 14:case 15:case 16:case 17:case 18:case 19:case 20:return!0;default:return!1}}function cbt(t,e){var n,i=t.a;e=String(e),i.hasOwnProperty(e)&&(n=i[e]);var r=(tct(),fee)[typeof n];return r?r(n):klt(typeof n)}function ubt(t,e){if(t.a<0)throw qw(new jv("Did not call before(...) or after(...) before calling add(...)."));return KN(t,t.a,e),t}function lbt(t,e,n,i){var r;0!=e.c.length&&(r=COt(n,i),QE(xet(new FH(null,new g1(cMt(e),1)),new _o),new GW(t,n,r,i)))}function hbt(t,e,n){var i;0!=(t.Db&e)?null==n?WIt(t,e):-1==(i=Rmt(t,e))?t.Eb=n:DG(int(t.Eb),i,n):null!=n&&vPt(t,e,n)}function fbt(t){var e;return 0==(32&t.Db)&&0!=(e=dG(zz(xot(t,16),26)||t.zh())-dG(t.zh()))&&hbt(t,32,P7(Dte,HKt,1,e,5,1)),t}function dbt(t){var e;return t.b||Gk(t,!(e=tR(t.e,t.a))||!mR(c5t,opt((!e.b&&(e.b=new QP((wKt(),xDe),GDe,e)),e.b),"qualified"))),t.c}function gbt(t,e,n){var i,r;return((r=(i=zz(Wet(q9(t.a),e),87)).c||(wKt(),fDe)).kh()?nht(t.b,zz(r,49)):r)==n?djt(i):ont(i,n),r}function pbt(t,e){(e||null==console.groupCollapsed?null!=console.group?console.group:console.log:console.groupCollapsed).call(console,t)}function bbt(t,e,n,i){zz(n.b,65),zz(n.b,65),zz(i.b,65),zz(i.b,65).c.b,R7(i,e,t)}function wbt(t){var e,n;for(e=new Kd(t.g);e.a<e.c.c.length;)zz(t0(e),562);YUt(n=new xPt(t.g,Zv(t.a),t.c)),t.g=n.b,t.d=n.a}function ybt(t,e,i){e.b=n.Math.max(e.b,-i.a),e.c=n.Math.max(e.c,i.a-t.a),e.d=n.Math.max(e.d,-i.b),e.a=n.Math.max(e.a,i.b-t.b)}function mbt(t,e){return t.e<e.e?-1:t.e>e.e?1:t.f<e.f?-1:t.f>e.f?1:eut(t)-eut(e)}function vbt(t,e){return xK(t),null!=e&&(!!mR(t,e)||t.length==e.length&&mR(t.toLowerCase(),e.toLowerCase()))}function xbt(t,e){var n,i,r,a;for(i=0,r=e.gc();i<r;++i)aO(n=e.il(i),99)&&0!=(zz(n,18).Bb&h6t)&&null!=(a=e.jl(i))&&n$t(t,zz(a,56))}function kbt(t,e,n){var i,r,a;for(a=new Kd(n.a);a.a<a.c.c.length;)r=zz(t0(a),221),i=new AD(zz(FG(t.a,r.b),65)),Kz(e.a,i),kbt(t,i,r)}function _bt(t){var e,n;return Xlt(t,-129)>0&&Xlt(t,128)<0?(e=pZ(t)+128,!(n=(_H(),Oee)[e])&&(n=Oee[e]=new Bd(t)),n):new Bd(t)}function Ebt(t,e){var n,i;return(n=e.Hh(t.a))&&null!=(i=CB(opt((!n.b&&(n.b=new QP((wKt(),xDe),GDe,n)),n.b),n7t)))?i:e.ne()}function Tbt(t,e){var n,i;return(n=e.Hh(t.a))&&null!=(i=CB(opt((!n.b&&(n.b=new QP((wKt(),xDe),GDe,n)),n.b),n7t)))?i:e.ne()}function Cbt(t,e){var n,i;for(HJ(),i=new cU(JO(hdt(t).a.Kc(),new l));bLt(i);)if((n=zz(Y5(i),17)).d.i==e||n.c.i==e)return n;return null}function Sbt(t,e,n){this.c=t,this.f=new Nw,this.e=new Zk,this.j=new CH,this.n=new CH,this.b=e,this.g=new YW(e.c,e.d,e.b,e.a),this.a=n}function Abt(t){var e,n,i,r;for(this.a=new hL,this.d=new Fy,this.e=0,i=0,r=(n=t).length;i<r;++i)e=n[i],!this.f&&(this.f=e),b2(this,e)}function Mbt(t){LBt(),0==t.length?(this.e=0,this.d=1,this.a=Ast(Zx(LNe,1),hXt,25,15,[0])):(this.e=1,this.d=t.length,this.a=t,G0(this))}function Ibt(t,e,n){um.call(this),this.a=P7(Gie,aQt,212,(Fet(),Ast(Zx(Wie,1),OWt,232,0,[Zie,Uie,Yie])).length,0,1),this.b=t,this.d=e,this.c=n}function Lbt(t){this.d=new Nw,this.e=new y4,this.c=P7(LNe,hXt,25,(kYt(),Ast(Zx(jMe,1),QJt,61,0,[SMe,uMe,cMe,CMe,AMe])).length,15,1),this.b=t}function Dbt(t){var e,n,i,r;for(hct(r=zz(vTt(t,(hKt(),pfe)),11),Ofe,t.i.n.b),n=0,i=(e=J0(t.e)).length;n<i;++n)TJ(e[n],r)}function Obt(t){var e,n,i,r;for(hct(e=zz(vTt(t,(hKt(),pfe)),11),Ofe,t.i.n.b),i=0,r=(n=J0(t.g)).length;i<r;++i)CJ(n[i],e)}function Nbt(t){var e,n;return!!OP(t.d.i,(HGt(),Kbe))&&(e=zz(vTt(t.c.i,Kbe),19),n=zz(vTt(t.d.i,Kbe),19),_D(e.a,n.a)>0)}function Pbt(t){var e;ZM(tDt(t,(lKt(),_Ce)))===ZM((cht(),yAe))&&(QQ(t)?(e=zz(tDt(QQ(t),_Ce),334),Qwt(t,_Ce,e)):Qwt(t,_Ce,mAe))}function Bbt(t,e,n){var i,r;fTt(t.e,e,n,(kYt(),AMe)),fTt(t.i,e,n,cMe),t.a&&(r=zz(vTt(e,(hKt(),pfe)),11),i=zz(vTt(n,pfe),11),x0(t.g,r,i))}function Fbt(t,e,n){var i,r,a;i=e.c.p,a=e.p,t.b[i][a]=new BV(t,e),n&&(t.a[i][a]=new zp(e),(r=zz(vTt(e,(hKt(),rfe)),10))&&JMt(t.d,r,e))}function Rbt(t,e){var n,i,r;if(Kz(Cae,t),e.Fc(t),n=zz(FG(Tae,t),21))for(r=n.Kc();r.Ob();)i=zz(r.Pb(),33),-1!=_9(Cae,i,0)||Rbt(i,e)}function $bt(t,e,n){var i;(Kne?(wgt(t),1):Wne||Qne?(fT(),1):Vne&&(fT(),0))&&((i=new i$(e)).b=n,sCt(t,i))}function jbt(t,e){var n;n=!t.A.Hc((vpt(),$Me))||t.q==(V_t(),GAe),t.u.Hc((dMt(),nMe))?n?PYt(t,e):sYt(t,e):t.u.Hc(rMe)&&(n?DUt(t,e):JYt(t,e))}function zbt(t,e){var n,i;++t.j,null!=e&&uIt(e,n=aO(i=t.a.Cb,97)?zz(i,97).Jg():null)?hbt(t.a,4,n):hbt(t.a,4,zz(e,126))}function qbt(t,e,i){return new YW(n.Math.min(t.a,e.a)-i/2,n.Math.min(t.b,e.b)-i/2,n.Math.abs(t.a-e.a)+i,n.Math.abs(t.b-e.b)+i)}function Hbt(t,e){var n,i;return 0!=(n=_D(t.a.c.p,e.a.c.p))?n:0!=(i=_D(t.a.d.i.p,e.a.d.i.p))?i:_D(e.a.d.p,t.a.d.p)}function Zbt(t,e,n){var i,r,a,o;return(a=e.j)!=(o=n.j)?a.g-o.g:(i=t.f[e.p],r=t.f[n.p],0==i&&0==r?0:0==i?-1:0==r?1:Aft(i,r))}function Ubt(t,e,n){var i;if(!n[e.d])for(n[e.d]=!0,i=new Kd(kdt(e));i.a<i.c.c.length;)Ubt(t,Pdt(zz(t0(i),213),e),n)}function Ybt(t,e,n){var i;switch(i=n[t.g][e],t.g){case 1:case 3:return new PA(0,i);case 2:case 4:return new PA(i,0);default:return null}}function Gbt(t,e,n){var i;i=zz(uQ(e.f),209);try{i.Ze(t,n),CK(e.f,i)}catch(t){throw aO(t=dst(t),102),qw(t)}}function Kbt(t,e,n){var i,r,a,o;return i=null,(a=yZt(oit(),e))&&(r=null,null!=(o=tZt(a,n))&&(r=t.Ye(a,o)),i=r),i}function Wbt(t,e,n,i){var r;return r=new N9(t.e,1,13,e.c||(wKt(),fDe),n.c||(wKt(),fDe),cyt(t,e),!1),i?i.Ei(r):i=r,i}function Xbt(t,e,n,i){var r;if(e>=(r=t.length))return r;for(e=e>0?e:0;e<r&&!nct((d1(e,t.length),t.charCodeAt(e)),n,i);e++);return e}function Vbt(t,e){var n,i;for(i=t.c.length,e.length<i&&(e=Hx(new Array(i),e)),n=0;n<i;++n)DG(e,n,t.c[n]);return e.length>i&&DG(e,i,null),e}function Qbt(t,e){var n,i;for(i=t.a.length,e.length<i&&(e=Hx(new Array(i),e)),n=0;n<i;++n)DG(e,n,t.a[n]);return e.length>i&&DG(e,i,null),e}function Jbt(t,e,n){var i,r,a;return(r=zz(FG(t.e,e),387))?(a=wF(r,n),sO(t,r),a):(i=new tq(t,e,n),WK(t.e,e,i),xQ(i),null)}function twt(t){var e;if(null==t)return null;if(null==(e=NDt(zzt(t,!0))))throw qw(new ix("Invalid hexBinary value: '"+t+"'"));return e}function ewt(t){return LBt(),Xlt(t,0)<0?0!=Xlt(t,-1)?new m_t(-1,k9(t)):Qee:Xlt(t,10)<=0?tne[pZ(t)]:new m_t(1,t)}function nwt(){return bKt(),Ast(Zx(Rre,1),OWt,159,0,[Sre,Cre,Are,yre,wre,mre,kre,xre,vre,Tre,Ere,_re,pre,gre,bre,fre,hre,dre,ure,cre,lre,Mre])}function iwt(t){var e;this.d=new Nw,this.j=new Zk,this.g=new Zk,e=t.g.b,this.f=zz(vTt(yK(e),(HGt(),Ype)),103),this.e=Zv(TB(wwt(e,Cwe)))}function rwt(t){this.b=new Nw,this.e=new Nw,this.d=t,this.a=!k_(LW(new FH(null,new UY(new m6(t.b))),new og(new Zr))).sd((pT(),eie))}function awt(){awt=I,lTe=new LA("PARENTS",0),uTe=new LA("NODES",1),sTe=new LA("EDGES",2),hTe=new LA("PORTS",3),cTe=new LA("LABELS",4)}function owt(){owt=I,zAe=new UA("DISTRIBUTED",0),HAe=new UA("JUSTIFIED",1),$Ae=new UA("BEGIN",2),jAe=new UA(iQt,3),qAe=new UA("END",4)}function swt(t){switch(t.yi(null)){case 10:return 0;case 15:return 1;case 14:return 2;case 11:return 3;case 21:return 4}return-1}function cwt(t){switch(t.g){case 1:return zht(),qSe;case 4:return zht(),$Se;case 2:return zht(),jSe;case 3:return zht(),RSe}return zht(),zSe}function uwt(t,e,n){var i;switch((i=n.q.getFullYear()-lXt+lXt)<0&&(i=-i),e){case 1:t.a+=i;break;case 2:_tt(t,i%100,2);break;default:_tt(t,i,e)}}function lwt(t,e){var n,i;if(OJ(e,t.b),e>=t.b>>1)for(i=t.c,n=t.b;n>e;--n)i=i.b;else for(i=t.a.a,n=0;n<e;++n)i=i.a;return new JR(t,e,i)}function hwt(){hwt=I,pie=new jC("NUM_OF_EXTERNAL_SIDES_THAN_NUM_OF_EXTENSIONS_LAST",0),gie=new jC("CORNER_CASES_THAN_SINGLE_SIDE_LAST",1)}function fwt(t){var e,n,i;for(mD(n=cAt(t),zse),(i=t.d).c=P7(Dte,HKt,1,0,5,1),e=new Kd(n);e.a<e.c.c.length;)wst(i,zz(t0(e),456).b)}function dwt(t){var e,n;for(!t.o&&(t.o=new v8((MGt(),TIe),rLe,t,0)),e=(n=t.o).c.Kc();e.e!=e.i.gc();)zz(e.nj(),42).dd();return L7(n)}function gwt(t){var e;OR(zz(vTt(t,(HGt(),nwe)),98))&&(fIt((f1(0,(e=t.b).c.length),zz(e.c[0],29))),fIt(zz(PH(e,e.c.length-1),29)))}function pwt(t,e){var i,r,a,o;for(i=0,a=new Kd(e.a);a.a<a.c.c.length;)o=(r=zz(t0(a),10)).o.a+r.d.c+r.d.b+t.j,i=n.Math.max(i,o);return i}function bwt(t){var e,n,i,r;for(r=0,n=0,i=t.length;n<i;n++)d1(n,t.length),(e=t.charCodeAt(n))>=64&&e<128&&(r=i0(r,vU(1,e-64)));return r}function wwt(t,e){var n,i;return i=null,OP(t,(lKt(),ASe))&&(n=zz(vTt(t,ASe),94)).Xe(e)&&(i=n.We(e)),null==i&&yK(t)&&(i=vTt(yK(t),e)),i}function ywt(t,e){var n,i,r;(i=(r=e.d.i).k)!=(cCt(),Ase)&&i!=Ese&&bLt(n=new cU(JO(ddt(r).a.Kc(),new l)))&&WK(t.k,e,zz(Y5(n),17))}function mwt(t,e){var n,i,r;return i=iet(t.Tg(),e),(n=e-t.Ah())<0?(r=t.Yg(i))>=0?t.lh(r):ZMt(t,i):n<0?ZMt(t,i):zz(i,66).Nj().Sj(t,t.yh(),n)}function vwt(t){var e;if(aO(t.a,4)){if(null==(e=Jpt(t.a)))throw qw(new jv(u5t+t.b+"'. "+a5t+(_B(dLe),dLe.k)+o5t));return e}return t.a}function xwt(t){var e;if(null==t)return null;if(null==(e=GYt(zzt(t,!0))))throw qw(new ix("Invalid base64Binary value: '"+t+"'"));return e}function kwt(t){var e;try{return e=t.i.Xb(t.e),t.mj(),t.g=t.e++,e}catch(e){throw aO(e=dst(e),73)?(t.mj(),qw(new vy)):qw(e)}}function _wt(t){var e;try{return e=t.c.ki(t.e),t.mj(),t.g=t.e++,e}catch(e){throw aO(e=dst(e),73)?(t.mj(),qw(new vy)):qw(e)}}function Ewt(){Ewt=I,lKt(),_ae=ESe,wae=vCe,fae=aCe,yae=GCe,jxt(),xae=Tie,vae=_ie,kae=Sie,mae=kie,Uut(),gae=cae,dae=sae,pae=lae,bae=hae}function Twt(t){switch(kT(),this.c=new Nw,this.d=t,t.g){case 0:case 2:this.a=XK(lse),this.b=RXt;break;case 3:case 1:this.a=lse,this.b=$Xt}}function Cwt(t,e,n){var i;if(t.c)Ant(t.c,t.c.i+e),Mnt(t.c,t.c.j+n);else for(i=new Kd(t.b);i.a<i.c.c.length;)Cwt(zz(t0(i),157),e,n)}function Swt(t,e){var n,i;if(t.j.length!=e.j.length)return!1;for(n=0,i=t.j.length;n<i;n++)if(!mR(t.j[n],e.j[n]))return!1;return!0}function Awt(t,e,n){var i;e.a.length>0&&(Kz(t.b,new Wz(e.a,n)),0<(i=e.a.length)?e.a=e.a.substr(0,0):0>i&&(e.a+=rO(P7(INe,WWt,25,-i,15,1))))}function Mwt(t,e){var n,i,r;for(n=t.o,r=zz(zz(l6(t.r,e),21),84).Kc();r.Ob();)(i=zz(r.Pb(),111)).e.a=bvt(i,n.a),i.e.b=n.b*Zv(TB(i.b.We(Ore)))}function Iwt(t,e){var n,i,r,a;return r=t.k,n=Zv(TB(vTt(t,(hKt(),Efe)))),a=e.k,i=Zv(TB(vTt(e,Efe))),a!=(cCt(),Tse)?-1:r!=Tse?1:n==i?0:n<i?-1:1}function Lwt(t,e){var n,i;return n=zz(zz(FG(t.g,e.a),46).a,65),i=zz(zz(FG(t.g,e.b),46).a,65),K7(e.a,e.b)-K7(e.a,$D(n.b))-K7(e.b,$D(i.b))}function Dwt(t,e){var n;return n=zz(vTt(t,(HGt(),ybe)),74),eO(e,yse)?n?vX(n):(n=new xm,hct(t,ybe,n)):n&&hct(t,ybe,null),n}function Owt(t){var e;return(e=new Ax).a+="n",t.k!=(cCt(),Ase)&&cI(cI((e.a+="(",e),pP(t.k).toLowerCase()),")"),cI((e.a+="_",e),wvt(t)),e.a}function Nwt(t,e){LEt(e,"Self-Loop post-processing",1),QE(LW(LW(gtt(new FH(null,new g1(t.b,16)),new Pi),new Bi),new Fi),new Ri),HCt(e)}function Pwt(t,e,n,i){var r;return n>=0?t.hh(e,n,i):(t.eh()&&(i=(r=t.Vg())>=0?t.Qg(i):t.eh().ih(t,-1-r,null,i)),t.Sg(e,n,i))}function Bwt(t,e){switch(e){case 7:return!t.e&&(t.e=new lR($Ie,t,7,4)),void lHt(t.e);case 8:return!t.d&&(t.d=new lR($Ie,t,8,5)),void lHt(t.d)}Fgt(t,e)}function Fwt(t,e){var n;n=t.Zc(e);try{return n.Pb()}catch(t){throw aO(t=dst(t),109)?qw(new Lv("Can't get element "+e)):qw(t)}}function Rwt(t,e){this.e=t,e<KXt?(this.d=1,this.a=Ast(Zx(LNe,1),hXt,25,15,[0|e])):(this.d=2,this.a=Ast(Zx(LNe,1),hXt,25,15,[e%KXt|0,e/KXt|0]))}function $wt(t,e){var n,i,r,a;for(CX(),n=t,a=e,aO(t,21)&&!aO(e,21)&&(n=e,a=t),r=n.Kc();r.Ob();)if(i=r.Pb(),a.Hc(i))return!1;return!0}function jwt(t,e,n){var i,r,a,o;return-1!=(i=t.Xc(e))&&(t.ej()?(a=t.fj(),o=Nvt(t,i),r=t.Zi(4,o,null,i,a),n?n.Ei(r):n=r):Nvt(t,i)),n}function zwt(t,e,n){var i,r,a,o;return-1!=(i=t.Xc(e))&&(t.ej()?(a=t.fj(),o=gH(t,i),r=t.Zi(4,o,null,i,a),n?n.Ei(r):n=r):gH(t,i)),n}function qwt(t,e){var n;switch(n=zz(cW(t.b,e),124).n,e.g){case 1:t.t>=0&&(n.d=t.t);break;case 3:t.t>=0&&(n.a=t.t)}t.C&&(n.b=t.C.b,n.c=t.C.c)}function Hwt(){Hwt=I,zre=new $C(vQt,0),jre=new $C(xQt,1),qre=new $C(kQt,2),Hre=new $C(_Qt,3),zre.a=!1,jre.a=!0,qre.a=!1,Hre.a=!0}function Zwt(){Zwt=I,Jre=new RC(vQt,0),Qre=new RC(xQt,1),tae=new RC(kQt,2),eae=new RC(_Qt,3),Jre.a=!1,Qre.a=!0,tae.a=!1,eae.a=!0}function Uwt(t){var e;e=t.a;do{(e=zz(Y5(new cU(JO(fdt(e).a.Kc(),new l))),17).c.i).k==(cCt(),Sse)&&t.b.Fc(e)}while(e.k==(cCt(),Sse));t.b=iot(t.b)}function Ywt(t){var e,n,i;for(i=t.c.a,t.p=(vG(i),new e$(i)),n=new Kd(i);n.a<n.c.c.length;)(e=zz(t0(n),10)).p=hAt(e).a;CX(),mD(t.p,new Ia)}function Gwt(t){var e,n,i;if(n=0,0==(i=pBt(t)).c.length)return 1;for(e=new Kd(i);e.a<e.c.c.length;)n+=Gwt(zz(t0(e),33));return n}function Kwt(t,e){var n,i,r;for(r=0,i=zz(zz(l6(t.r,e),21),84).Kc();i.Ob();)r+=(n=zz(i.Pb(),111)).d.b+n.b.rf().a+n.d.c,i.Ob()&&(r+=t.w);return r}function Wwt(t,e){var 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e,n;if(n=null,e=!1,aO(t,204)&&(e=!0,n=zz(t,204).a),e||aO(t,258)&&(e=!0,n=""+zz(t,258).a),e||aO(t,483)&&(e=!0,n=""+zz(t,483).a),!e)throw qw(new Ov(H6t));return n}function kSt(t,e){var n,i;if(t.f){for(;e.Ob();)if(aO(i=(n=zz(e.Pb(),72)).ak(),99)&&0!=(zz(i,18).Bb&h6t)&&(!t.e||i.Gj()!=NIe||0!=i.aj())&&null!=n.dd())return e.Ub(),!0;return!1}return e.Ob()}function _St(t,e){var n,i;if(t.f){for(;e.Sb();)if(aO(i=(n=zz(e.Ub(),72)).ak(),99)&&0!=(zz(i,18).Bb&h6t)&&(!t.e||i.Gj()!=NIe||0!=i.aj())&&null!=n.dd())return e.Pb(),!0;return!1}return e.Sb()}function ESt(t,e,n){var i,r,a,o,s,c;for(c=sPt(t.e.Tg(),e),i=0,s=t.i,r=zz(t.g,119),o=0;o<t.i;++o)if(a=r[o],c.rl(a.ak())){if(n==i)return o;++i,s=o+1}if(n==i)return s;throw qw(new Lv(i8t+n+u7t+i))}function TSt(t,e){var i,r,a;if(0==t.f.c.length)return null;for(a=new dL,i=new Kd(t.f);i.a<i.c.c.length;)r=zz(t0(i),70).o,a.b=n.Math.max(a.b,r.a),a.a+=r.b;return a.a+=(t.f.c.length-1)*e,a}function CSt(t,e,n){var i,r,a;for(r=new cU(JO(hdt(n).a.Kc(),new 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n,i,r,a;t.ej()?(n=t.Vi(),a=t.fj(),++t.j,t.Hi(n,t.oi(n,e)),i=t.Zi(3,null,e,n,a),t.bj()&&(r=t.cj(e,null))?(r.Ei(i),r.Fi()):t.$i(i)):(nK(t,e),t.bj()&&(r=t.cj(e,null))&&r.Fi())}function DIt(t,e){var n,i,r,a,o;for(o=sPt(t.e.Tg(),e),r=new bc,n=zz(t.g,119),a=t.i;--a>=0;)i=n[a],o.rl(i.ak())&&h8(r,i);!sGt(t,r)&&mL(t.e)&&Oy(t,e.$j()?OV(t,6,e,(CX(),lne),null,-1,!1):OV(t,e.Kj()?2:1,e,null,null,-1,!1))}function OIt(){var t,e;for(OIt=I,sne=P7(une,lWt,91,32,0,1),cne=P7(une,lWt,91,32,0,1),t=1,e=0;e<=18;e++)sne[e]=ewt(t),cne[e]=ewt(vU(t,e)),t=odt(t,5);for(;e<cne.length;e++)sne[e]=Ntt(sne[e-1],sne[1]),cne[e]=Ntt(cne[e-1],(LBt(),ene))}function NIt(t,e){var n,i,r,a;return t.a==(JTt(),ahe)||(r=e.a.c,n=e.a.c+e.a.b,!(e.j&&(a=(i=e.A).c.c.a-i.o.a/2,r-(i.n.a+i.o.a)>a)||e.q&&(a=(i=e.C).c.c.a-i.o.a/2,i.n.a-n>a)))}function PIt(t,e){LEt(e,"Partition preprocessing",1),QE(zz(S4(LW(gtt(LW(new FH(null,new g1(t.a,16)),new yi),new mi),new vi),m8(new q,new z,new it,Ast(Zx(tie,1),OWt,132,0,[(Zut(),Yne)]))),15).Oc(),new xi),HCt(e)}function BIt(t){var e,n,i,r,a,o;for(HJ(),n=new y4,i=new Kd(t.e.b);i.a<i.c.c.length;)for(a=new Kd(zz(t0(i),29).a);a.a<a.c.c.length;)r=zz(t0(a),10),(e=zz(ftt(n,o=t.g[r.p]),15))||Jbt(n,o,e=new Nw),e.Fc(r);return n}function FIt(t,e){var n,i,r,a,o;for(r=e.b.b,t.a=P7(Rte,eJt,15,r,0,1),t.b=P7(DNe,tQt,25,r,16,1),o=lwt(e.b,0);o.b!=o.d.c;)a=zz(d3(o),86),t.a[a.g]=new VE;for(i=lwt(e.a,0);i.b!=i.d.c;)n=zz(d3(i),188),t.a[n.b.g].Fc(n),t.a[n.c.g].Fc(n)}function RIt(t){var e;return 0!=(64&t.Db)?ADt(t):((e=new hN(ADt(t))).a+=" (startX: ",y_(e,t.j),e.a+=", startY: ",y_(e,t.k),e.a+=", endX: ",y_(e,t.b),e.a+=", endY: ",y_(e,t.c),e.a+=", identifier: ",aI(e,t.d),e.a+=")",e.a)}function $It(t){var e;return 0!=(64&t.Db)?kht(t):((e=new hN(kht(t))).a+=" (ordered: ",v_(e,0!=(256&t.Bb)),e.a+=", unique: ",v_(e,0!=(512&t.Bb)),e.a+=", lowerBound: ",m_(e,t.s),e.a+=", upperBound: ",m_(e,t.t),e.a+=")",e.a)}function jIt(t,e,n,i,r,a,o,s){var c;return 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n,i,r,a;if(e){for(a=!(r=aO(t.Cb,88)||aO(t.Cb,99))&&aO(t.Cb,322),n=new LO((!e.a&&(e.a=new oZ(e,WLe,e)),e.a));n.e!=n.i.gc();)if(i=djt(zz(kwt(n),87)),r?aO(i,88):a?aO(i,148):i)return i;return r?(wKt(),pDe):(wKt(),fDe)}return null}function _Ot(t,e){var n,i,r,a,o;for(LEt(e,"Constraints Postprocessor",1),a=0,r=new Kd(t.b);r.a<r.c.c.length;){for(o=0,i=new Kd(zz(t0(r),29).a);i.a<i.c.c.length;)(n=zz(t0(i),10)).k==(cCt(),Ase)&&(hct(n,(HGt(),kbe),rft(a)),hct(n,zpe,rft(o)),++o);++a}HCt(e)}function EOt(t,e,n,i){var r,a,o,s,c,u;for(GF(s=new PA(n,i),zz(vTt(e,(ZHt(),txe)),8)),u=lwt(e.b,0);u.b!=u.d.c;)YF((c=zz(d3(u),86)).e,s),Bq(t.b,c);for(o=lwt(e.a,0);o.b!=o.d.c;){for(r=lwt((a=zz(d3(o),188)).a,0);r.b!=r.d.c;)YF(zz(d3(r),8),s);Bq(t.a,a)}}function TOt(t,e,n){var i,r,a;if(!(a=zHt((ISt(),JDe),t.Tg(),e)))throw qw(new $v(a6t+e.ne()+o6t));if(JT(),!zz(a,66).Oj()&&!(a=J1(z9(JDe,a))))throw qw(new $v(a6t+e.ne()+o6t));r=zz((i=t.Yg(a))>=0?t._g(i,!0,!0):oIt(t,a,!0),153),zz(r,215).ml(e,n)}function COt(t,e){var 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e,n,i,r;if(null==t)return null;if(i=zzt(t,!0),r=B9t.length,mR(i.substr(i.length-r,r),B9t))if(4==(n=i.length)){if(d1(0,i.length),43==(e=i.charCodeAt(0)))return ZOe;if(45==e)return HOe}else if(3==n)return ZOe;return new By(i)}function LOt(t){var e,n,i;return 0!=((n=t.l)&n-1)||0!=((i=t.m)&i-1)||0!=((e=t.h)&e-1)||0==e&&0==i&&0==n?-1:0==e&&0==i&&0!=n?wit(n):0==e&&0!=i&&0==n?wit(i)+22:0!=e&&0==i&&0==n?wit(e)+44:-1}function DOt(t,e){var n,i,r,a;for(LEt(e,"Edge joining",1),n=Hv(EB(vTt(t,(HGt(),Bwe)))),i=new Kd(t.b);i.a<i.c.c.length;)for(a=new T2(zz(t0(i),29).a,0);a.b<a.d.gc();)SP(a.b<a.d.gc()),(r=zz(a.d.Xb(a.c=a.b++),10)).k==(cCt(),Sse)&&(aZt(r,n),hK(a));HCt(e)}function OOt(t,e,n){var i;if(l2(t.b),AY(t.b,(Adt(),q_e),(IT(),ZEe)),AY(t.b,H_e,e.g),AY(t.b,Z_e,e.a),t.a=OHt(t.b,e),LEt(n,"Compaction by shrinking a tree",t.a.c.length),e.i.c.length>1)for(i=new Kd(t.a);i.a<i.c.c.length;)zz(t0(i),51).pf(e,vat(n,1));HCt(n)}function NOt(t,e){var n,i,r,a,o;for(r=e.a&t.f,a=null,i=t.b[r];;i=i.b){if(i==e){a?a.b=e.b:t.b[r]=e.b;break}a=i}for(o=e.f&t.f,a=null,n=t.c[o];;n=n.d){if(n==e){a?a.d=e.d:t.c[o]=e.d;break}a=n}e.e?e.e.c=e.c:t.a=e.c,e.c?e.c.e=e.e:t.e=e.e,--t.i,++t.g}function POt(t){var e,i,r,a,o,s,c,u,l,h;for(i=t.o,e=t.p,s=FKt,a=jWt,c=FKt,o=jWt,l=0;l<i;++l)for(h=0;h<e;++h)mmt(t,l,h)&&(s=n.Math.min(s,l),a=n.Math.max(a,l),c=n.Math.min(c,h),o=n.Math.max(o,h));return u=a-s+1,r=o-c+1,new WW(rft(s),rft(c),rft(u),rft(r))}function BOt(t,e){var n,i,r,a;for(SP((a=new T2(t,0)).b<a.d.gc()),n=zz(a.d.Xb(a.c=a.b++),140);a.b<a.d.gc();)SP(a.b<a.d.gc()),r=new mq((i=zz(a.d.Xb(a.c=a.b++),140)).c,n.d,e),SP(a.b>0),a.a.Xb(a.c=--a.b),vF(a,r),SP(a.b<a.d.gc()),a.d.Xb(a.c=a.b++),r.a=!1,n=i}function FOt(t){var e,n,i,r,a;for(i=zz(vTt(t,(hKt(),Rhe)),11),a=new Kd(t.j);a.a<a.c.c.length;){for(n=new Kd((r=zz(t0(a),11)).g);n.a<n.c.c.length;)return TJ(zz(t0(n),17),i),r;for(e=new Kd(r.e);e.a<e.c.c.length;)return CJ(zz(t0(e),17),i),r}return null}function ROt(t,e,i){var r,a;Xlt(r=fot(i.q.getTime()),0)<0?(a=XWt-pZ(dpt(k9(r),XWt)))==XWt&&(a=0):a=pZ(dpt(r,XWt)),1==e?PG(t,48+(a=n.Math.min((a+50)/100|0,9))&VWt):2==e?_tt(t,a=n.Math.min((a+5)/10|0,99),2):(_tt(t,a,3),e>3&&_tt(t,0,e-3))}function $Ot(t){var e,n,i,r;return ZM(vTt(t,(HGt(),ube)))===ZM((cht(),wAe))?!t.e&&ZM(vTt(t,Fpe))!==ZM(($ot(),xhe)):(i=zz(vTt(t,Rpe),292),r=Hv(EB(vTt(t,qpe)))||ZM(vTt(t,Hpe))===ZM((Lit(),ule)),e=zz(vTt(t,Bpe),19).a,n=t.a.c.length,!r&&i!=($ot(),xhe)&&(0==e||e>n))}function jOt(t){var e,n;for(n=0;n<t.c.length&&!(uH((f1(n,t.c.length),zz(t.c[n],113)))>0);n++);if(n>0&&n<t.c.length-1)return n;for(e=0;e<t.c.length&&!(uH((f1(e,t.c.length),zz(t.c[e],113)))>0);e++);return e>0&&n<t.c.length-1?e:t.c.length/2|0}function zOt(t,e){var n,i;if(e!=t.Cb||t.Db>>16!=6&&e){if(mxt(t,e))throw qw(new $v(p6t+RIt(t)));i=null,t.Cb&&(i=(n=t.Db>>16)>=0?lxt(t,i):t.Cb.ih(t,-1-n,null,i)),e&&(i=Pwt(e,t,6,i)),(i=XB(t,e,i))&&i.Fi()}else 0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new tY(t,1,6,e,e))}function qOt(t,e){var n,i;if(e!=t.Cb||t.Db>>16!=9&&e){if(mxt(t,e))throw qw(new $v(p6t+GFt(t)));i=null,t.Cb&&(i=(n=t.Db>>16)>=0?fxt(t,i):t.Cb.ih(t,-1-n,null,i)),e&&(i=Pwt(e,t,9,i)),(i=VB(t,e,i))&&i.Fi()}else 0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new tY(t,1,9,e,e))}function HOt(t,e){var n,i;if(e!=t.Cb||t.Db>>16!=3&&e){if(mxt(t,e))throw qw(new $v(p6t+dqt(t)));i=null,t.Cb&&(i=(n=t.Db>>16)>=0?Cxt(t,i):t.Cb.ih(t,-1-n,null,i)),e&&(i=Pwt(e,t,12,i)),(i=WB(t,e,i))&&i.Fi()}else 0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new tY(t,1,3,e,e))}function ZOt(t){var e,n,i,r,a;if(i=Ixt(t),null==(a=t.j)&&i)return t.$j()?null:i.zj();if(aO(i,148)){if((n=i.Aj())&&(r=n.Nh())!=t.i){if((e=zz(i,148)).Ej())try{t.g=r.Kh(e,a)}catch(e){if(!aO(e=dst(e),78))throw qw(e);t.g=null}t.i=r}return t.g}return null}function UOt(t){var e;return Kz(e=new Nw,new PC(new PA(t.c,t.d),new PA(t.c+t.b,t.d))),Kz(e,new PC(new PA(t.c,t.d),new PA(t.c,t.d+t.a))),Kz(e,new PC(new PA(t.c+t.b,t.d+t.a),new PA(t.c+t.b,t.d))),Kz(e,new PC(new PA(t.c+t.b,t.d+t.a),new PA(t.c,t.d+t.a))),e}function YOt(t,e,n,i){var r,a,o;if(o=Dkt(e,n),i.c[i.c.length]=e,-1==t.j[o.p]||2==t.j[o.p]||t.a[e.p])return i;for(t.j[o.p]=-1,a=new cU(JO(hdt(o).a.Kc(),new l));bLt(a);)if(!d5(r=zz(Y5(a),17))&&(d5(r)||r.c.i.c!=r.d.i.c)&&r!=e)return YOt(t,r,o,i);return i}function GOt(t,e,n){var i,r;for(r=e.a.ec().Kc();r.Ob();)i=zz(r.Pb(),79),!zz(FG(t.b,i),266)&&(QQ(ATt(i))==QQ(LTt(i))?nBt(t,i,n):ATt(i)==QQ(LTt(i))?null==FG(t.c,i)&&null!=FG(t.b,LTt(i))&&aUt(t,i,n,!1):null==FG(t.d,i)&&null!=FG(t.b,ATt(i))&&aUt(t,i,n,!0))}function KOt(t,e){var n,i,r,a,o,s,c;for(r=t.Kc();r.Ob();)for(i=zz(r.Pb(),10),AJ(s=new MCt,i),ZAt(s,(kYt(),cMe)),hct(s,(hKt(),kfe),(lN(),!0)),o=e.Kc();o.Ob();)a=zz(o.Pb(),10),AJ(c=new MCt,a),ZAt(c,AMe),hct(c,kfe,!0),hct(n=new gV,kfe,!0),CJ(n,s),TJ(n,c)}function WOt(t,e,n,i){var r,a,o,s;r=Dpt(t,e,n),a=Dpt(t,n,e),o=zz(FG(t.c,e),112),s=zz(FG(t.c,n),112),r<a?new UJ((I6(),Tve),o,s,a-r):a<r?new UJ((I6(),Tve),s,o,r-a):(0!=r||e.i&&n.i&&i[e.i.c][n.i.c])&&(new UJ((I6(),Tve),o,s,0),new UJ(Tve,s,o,0))}function XOt(t,e){var n,i,r,a,o,s;for(r=0,o=new Kd(e.a);o.a<o.c.c.length;)for(r+=(a=zz(t0(o),10)).o.b+a.d.a+a.d.d+t.e,i=new cU(JO(fdt(a).a.Kc(),new l));bLt(i);)(n=zz(Y5(i),17)).c.i.k==(cCt(),Mse)&&(r+=(s=zz(vTt(n.c.i,(hKt(),pfe)),10)).o.b+s.d.a+s.d.d);return r}function VOt(t,e,n){var i,r,a,o,s,c,u;for(a=new Nw,Lzt(t,u=new VE,o=new VE,e),EUt(t,u,o,e,n),c=new Kd(t);c.a<c.c.c.length;)for(r=new Kd((s=zz(t0(c),112)).k);r.a<r.c.c.length;)i=zz(t0(r),129),(!e||i.c==(I6(),Eve))&&s.g>i.b.g&&(a.c[a.c.length]=i);return a}function QOt(){QOt=I,B_e=new kA("CANDIDATE_POSITION_LAST_PLACED_RIGHT",0),P_e=new kA("CANDIDATE_POSITION_LAST_PLACED_BELOW",1),R_e=new kA("CANDIDATE_POSITION_WHOLE_DRAWING_RIGHT",2),F_e=new kA("CANDIDATE_POSITION_WHOLE_DRAWING_BELOW",3),$_e=new kA("WHOLE_DRAWING",4)}function JOt(t,e){if(aO(e,239))return hft(t,zz(e,33));if(aO(e,186))return Fft(t,zz(e,118));if(aO(e,354))return eX(t,zz(e,137));if(aO(e,352))return Jjt(t,zz(e,79));if(e)return null;throw qw(new $v(Y6t+NTt(new Qv(Ast(Zx(Dte,1),HKt,1,5,[e])))))}function tNt(t){var e,n,i,r,a,o,s;for(a=new VE,r=new Kd(t.d.a);r.a<r.c.c.length;)0==(i=zz(t0(r),121)).b.a.c.length&&r5(a,i,a.c.b,a.c);if(a.b>1)for(e=LN((n=new Hy,++t.b,n),t.d),s=lwt(a,0);s.b!=s.d.c;)o=zz(d3(s),121),GNt(oT(aT(sT(rT(new qy,1),0),e),o))}function eNt(t,e){var n,i;if(e!=t.Cb||t.Db>>16!=11&&e){if(mxt(t,e))throw qw(new $v(p6t+YFt(t)));i=null,t.Cb&&(i=(n=t.Db>>16)>=0?Sxt(t,i):t.Cb.ih(t,-1-n,null,i)),e&&(i=Pwt(e,t,10,i)),(i=UF(t,e,i))&&i.Fi()}else 0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new tY(t,1,11,e,e))}function nNt(t){var e,n,i,r;for(i=new cut(new Sd(t.b).a);i.b;)r=zz((n=nnt(i)).cd(),11),hct(e=zz(n.dd(),10),(hKt(),pfe),r),hct(r,_fe,e),hct(r,nfe,(lN(),!0)),ZAt(r,zz(vTt(e,Xhe),61)),vTt(e,Xhe),hct(r.i,(HGt(),nwe),(V_t(),WAe)),zz(vTt(yK(r.i),Jhe),21).Fc((gBt(),phe))}function iNt(t,e,n){var i,r,a;if(i=0,r=0,t.c)for(a=new Kd(t.d.i.j);a.a<a.c.c.length;)i+=zz(t0(a),11).e.c.length;else i=1;if(t.d)for(a=new Kd(t.c.i.j);a.a<a.c.c.length;)r+=zz(t0(a),11).g.c.length;else r=1;return(n+e)/2+.4*AQ(qq(r-i))*(n-e)}function rNt(t){var e,n;if(N_t(),t.Hc((kYt(),SMe)))throw qw(new $v("Port sides must not contain UNDEFINED"));switch(t.gc()){case 1:return Tue;case 2:return e=t.Hc(cMe)&&t.Hc(AMe),n=t.Hc(uMe)&&t.Hc(CMe),e||n?Aue:Sue;case 3:return Cue;case 4:return Eue;default:return null}}function aNt(t,e,n){var i,r,a,o;for(LEt(n,"Breaking Point Removing",1),t.a=zz(vTt(e,(HGt(),Jpe)),218),r=new Kd(e.b);r.a<r.c.c.length;)for(o=new Kd(o0(zz(t0(r),29).a));o.a<o.c.c.length;)Qtt(a=zz(t0(o),10))&&!(i=zz(vTt(a,(hKt(),Fhe)),305)).d&&YYt(t,i);HCt(n)}function oNt(t,e,n){return _Bt(),(!Fat(t,e)||!Fat(t,n))&&(vUt(new PA(t.c,t.d),new PA(t.c+t.b,t.d),e,n)||vUt(new PA(t.c+t.b,t.d),new PA(t.c+t.b,t.d+t.a),e,n)||vUt(new PA(t.c+t.b,t.d+t.a),new PA(t.c,t.d+t.a),e,n)||vUt(new PA(t.c,t.d+t.a),new PA(t.c,t.d),e,n))}function sNt(t,e){var n,i,r,a;if(!t.dc())for(n=0,i=t.gc();n<i;++n)if(null==(a=CB(t.Xb(n)))?null==e:mR(a.substr(0,3),"!##")?null!=e&&(r=e.length,!mR(a.substr(a.length-r,r),e)||a.length!=e.length+3)&&!mR(S9t,e):mR(a,A9t)&&!mR(S9t,e)||mR(a,e))return!0;return!1}function cNt(t,e,n,i){var r,a,o,s,c,u;for(o=t.j.c.length,c=P7(ore,aQt,306,o,0,1),s=0;s<o;s++)(a=zz(PH(t.j,s),11)).p=s,c[s]=hIt(vLt(a),n,i);for(XNt(t,c,n,e,i),u=new Pw,r=0;r<c.length;r++)c[r]&&WK(u,zz(PH(t.j,r),11),c[r]);u.f.c+u.g.c!=0&&(hct(t,(hKt(),Uhe),u),DCt(t,c))}function uNt(t,e,n){var i,r;for(i=new Kd(t.a.b);i.a<i.c.c.length;)if((r=h2(zz(t0(i),57)))&&r.k==(cCt(),Tse))switch(zz(vTt(r,(hKt(),Xhe)),61).g){case 4:r.n.a=e.a;break;case 2:r.n.a=n.a-(r.o.a+r.d.c);break;case 1:r.n.b=e.b;break;case 3:r.n.b=n.b-(r.o.b+r.d.a)}}function lNt(){lNt=I,Mye=new qS(VJt,0),Eye=new qS("NIKOLOV",1),Sye=new qS("NIKOLOV_PIXEL",2),Tye=new qS("NIKOLOV_IMPROVED",3),Cye=new qS("NIKOLOV_IMPROVED_PIXEL",4),_ye=new qS("DUMMYNODE_PERCENTAGE",5),Aye=new 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null}while(n&&n.k!=(cCt(),Ase));return n}function UNt(t,e){var n,i,r,a,o,s,c,u,l;for(s=e.j,o=e.g,c=zz(PH(s,s.c.length-1),113),f1(0,s.c.length),u=tvt(t,o,c,l=zz(s.c[0],113)),a=1;a<s.c.length;a++)f1(a-1,s.c.length),n=zz(s.c[a-1],113),f1(a,s.c.length),(i=tvt(t,o,n,r=zz(s.c[a],113)))>u&&(c=n,l=r,u=i);e.a=l,e.c=c}function YNt(t,e){var n;if(!JY(t.b,e.b))throw qw(new jv("Invalid hitboxes for scanline constraint calculation."));(kst(e.b,zz(TF(t.b,e.b),57))||kst(e.b,zz(EF(t.b,e.b),57)))&&(DE(),e.b),t.a[e.b.f]=zz(xR(t.b,e.b),57),(n=zz(vR(t.b,e.b),57))&&(t.a[n.f]=e.b)}function GNt(t){if(!t.a.d||!t.a.e)throw qw(new jv((_B(qie),qie.k+" must have a source and target "+(_B(Hie),Hie.k+" specified."))));if(t.a.d==t.a.e)throw qw(new jv("Network simplex does not support self-loops: "+t.a+" "+t.a.d+" "+t.a.e));return FN(t.a.d.g,t.a),FN(t.a.e.b,t.a),t.a}function KNt(t,e,n){var i,r,a,o,s,c,u;for(u=new p_(new Qp(t)),s=0,c=(o=Ast(Zx(Zse,1),c1t,11,0,[e,n])).length;s<c;++s)for(a=o[s],Cct(u.a,a,(lN(),yee)),r=new 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n,i,r,a,o,s,c,u;for(s=zz(vTt(t,(hKt(),pfe)),11),c=Dct(Ast(Zx(STe,1),lWt,8,0,[s.i.n,s.n,s.a])).a,u=t.i.n.b,r=0,a=(i=J0(t.e)).length;r<a;++r)TJ(n=i[r],s),hI(n.a,new PA(c,u)),e&&((o=zz(vTt(n,(HGt(),ybe)),74))||(o=new xm,hct(n,ybe,o)),Bq(o,new PA(c,u)))}function uPt(t,e){var n,i,r,a,o,s,c,u;for(i=zz(vTt(t,(hKt(),pfe)),11),c=Dct(Ast(Zx(STe,1),lWt,8,0,[i.i.n,i.n,i.a])).a,u=t.i.n.b,o=0,s=(a=J0(t.g)).length;o<s;++o)CJ(r=a[o],i),lI(r.a,new PA(c,u)),e&&((n=zz(vTt(r,(HGt(),ybe)),74))||(n=new xm,hct(r,ybe,n)),Bq(n,new PA(c,u)))}function lPt(t,e){var n,i,r,a,o;for(t.b=new Nw,t.d=zz(vTt(e,(hKt(),Cfe)),230),t.e=a0(t.d),a=new VE,r=s6(Ast(Zx(kse,1),JJt,37,0,[e])),o=0;o<r.c.length;)f1(o,r.c.length),(i=zz(r.c[o],37)).p=o++,wst(r,(n=new MZt(i,t.a,t.b)).b),Kz(t.b,n),n.s&&tG(lwt(a,0),n);return t.c=new Fy,a}function hPt(t,e){var n,i,r,a,o,s;for(o=zz(zz(l6(t.r,e),21),84).Kc();o.Ob();)(n=(a=zz(o.Pb(),111)).c?Wq(a.c):0)>0?a.a?n>(s=a.b.rf().a)&&(r=(n-s)/2,a.d.b=r,a.d.c=r):a.d.c=t.s+n:qU(t.u)&&((i=jEt(a.b)).c<0&&(a.d.b=-i.c),i.c+i.b>a.b.rf().a&&(a.d.c=i.c+i.b-a.b.rf().a))}function fPt(t,e){var n,i;for(LEt(e,"Semi-Interactive Crossing Minimization Processor",1),n=!1,i=new Kd(t.b);i.a<i.c.c.length;)n|=null!=Oht(xet(LW(LW(new FH(null,new g1(zz(t0(i),29).a,16)),new Xi),new Vi),new Qi),new Ji).a;n&&hct(t,(hKt(),ofe),(lN(),!0)),HCt(e)}function dPt(t,e,n){var i,r,a;if(!(r=n)&&(r=new Gm),LEt(r,"Layout",t.a.c.length),Hv(EB(vTt(e,(MLt(),_xe)))))for(DE(),i=0;i<t.a.c.length;i++)i++,t_(nut(zz(PH(t.a,i),51)));for(a=new Kd(t.a);a.a<a.c.c.length;)zz(t0(a),51).pf(e,vat(r,1));HCt(r)}function gPt(t){var e,i;if(e=zz(t.a,19).a,i=zz(t.b,19).a,e>=0){if(e==i)return new rM(rft(-e-1),rft(-e-1));if(e==-i)return new rM(rft(-e),rft(i+1))}return n.Math.abs(e)>n.Math.abs(i)?new rM(rft(-e),rft(e<0?i:i+1)):new rM(rft(e+1),rft(i))}function pPt(t){var e,n;n=zz(vTt(t,(HGt(),xbe)),163),e=zz(vTt(t,(hKt(),ife)),303),n==(Tdt(),jfe)?(hct(t,xbe,Hfe),hct(t,ife,(U9(),Ahe))):n==qfe?(hct(t,xbe,Hfe),hct(t,ife,(U9(),Che))):e==(U9(),Ahe)?(hct(t,xbe,jfe),hct(t,ife,She)):e==Che&&(hct(t,xbe,qfe),hct(t,ife,She))}function bPt(){bPt=I,kve=new co,yve=pH(new z2,(xTt(),$oe),(dKt(),kce)),xve=KZ(pH(new z2,$oe,Bce),zoe,Pce),_ve=ubt(ubt(jT(KZ(pH(new z2,Foe,Yce),zoe,Uce),joe),Zce),Gce),mve=KZ(pH(pH(pH(new z2,Roe,Tce),joe,Sce),joe,Ace),zoe,Cce),vve=KZ(pH(pH(new z2,joe,Ace),joe,sce),zoe,oce)}function wPt(){wPt=I,Ave=pH(KZ(new z2,(xTt(),zoe),(dKt(),lce)),$oe,kce),Dve=ubt(ubt(jT(KZ(pH(new z2,Foe,Yce),zoe,Uce),joe),Zce),Gce),Mve=KZ(pH(pH(pH(new z2,Roe,Tce),joe,Sce),joe,Ace),zoe,Cce),Lve=pH(pH(new z2,$oe,Bce),zoe,Pce),Ive=KZ(pH(pH(new z2,joe,Ace),joe,sce),zoe,oce)}function yPt(t,e,n,i,r){var a,o;(d5(e)||e.c.i.c!=e.d.i.c)&&ert(Dct(Ast(Zx(STe,1),lWt,8,0,[r.i.n,r.n,r.a])),n)||d5(e)||(e.c==r?RP(e.a,0,new gL(n)):Bq(e.a,new gL(n)),i&&!jE(t.a,n)&&((o=zz(vTt(e,(HGt(),ybe)),74))||(o=new xm,hct(e,ybe,o)),r5(o,a=new gL(n),o.c.b,o.c),EY(t.a,a)))}function mPt(t){var e;for(e=new cU(JO(fdt(t).a.Kc(),new l));bLt(e);)if(zz(Y5(e),17).c.i.k!=(cCt(),Cse))throw qw(new rx(A1t+wvt(t)+"' has its layer constraint set to FIRST, but has at least one incoming edge that  does not come from a FIRST_SEPARATE node. That must not happen."))}function vPt(t,e,n){var i,r,a,o,s,c;if(0==(r=ydt(254&t.Db)))t.Eb=n;else{if(1==r)o=P7(Dte,HKt,1,2,5,1),0==Rmt(t,e)?(o[0]=n,o[1]=t.Eb):(o[0]=t.Eb,o[1]=n);else for(o=P7(Dte,HKt,1,r+1,5,1),a=int(t.Eb),i=2,s=0,c=0;i<=128;i<<=1)i==e?o[c++]=n:0!=(t.Db&i)&&(o[c++]=a[s++]);t.Eb=o}t.Db|=e}function xPt(t,e,i){var r,a,o,s;for(this.b=new Nw,a=0,r=0,s=new Kd(t);s.a<s.c.c.length;)o=zz(t0(s),167),i&&$zt(o),Kz(this.b,o),a+=o.o,r+=o.p;this.b.c.length>0&&(a+=(o=zz(PH(this.b,0),167)).o,r+=o.p),a*=2,r*=2,e>1?a=AQ(n.Math.ceil(a*e)):r=AQ(n.Math.ceil(r/e)),this.a=new Zgt(a,r)}function kPt(t,e,i,r,a,o){var s,c,u,l,h,f,d,g,p,b;for(l=r,e.j&&e.o?(p=(d=zz(FG(t.f,e.A),57)).d.c+d.d.b,--l):p=e.a.c+e.a.b,h=a,i.q&&i.o?(u=(d=zz(FG(t.f,i.C),57)).d.c,++h):u=i.a.c,g=p+(c=(u-p)/n.Math.max(2,h-l)),f=l;f<h;++f)b=(s=zz(o.Xb(f),128)).a.b,s.a.c=g-b/2,g+=c}function _Pt(t,e,n,i,r,a){var o,s,c,u,l,h;for(u=n.c.length,a&&(t.c=P7(LNe,hXt,25,e.length,15,1)),o=r?0:e.length-1;r?o<e.length:o>=0;o+=r?1:-1){for(s=e[o],c=i==(kYt(),cMe)?r?sdt(s,i):iot(sdt(s,i)):r?iot(sdt(s,i)):sdt(s,i),a&&(t.c[s.p]=c.gc()),h=c.Kc();h.Ob();)l=zz(h.Pb(),11),t.d[l.p]=u++;wst(n,c)}}function EPt(t,e,n){var i,r,a,o,s,c,u,l;for(a=Zv(TB(t.b.Kc().Pb())),u=Zv(TB(Wot(e.b))),i=xO(zD(t.a),u-n),r=xO(zD(e.a),n-a),xO(l=YF(i,r),1/(u-a)),this.a=l,this.b=new Nw,s=!0,(o=t.b.Kc()).Pb();o.Ob();)c=Zv(TB(o.Pb())),s&&c-n>F3t&&(this.b.Fc(n),s=!1),this.b.Fc(c);s&&this.b.Fc(n)}function TPt(t){var e,n,i,r;if(hRt(t,t.n),t.d.c.length>0){for(tx(t.c);yLt(t,zz(t0(new Kd(t.e.a)),121))<t.e.a.c.length;){for(r=(e=Rvt(t)).e.e-e.d.e-e.a,e.e.j&&(r=-r),i=new Kd(t.e.a);i.a<i.c.c.length;)(n=zz(t0(i),121)).j&&(n.e+=r);tx(t.c)}tx(t.c),yMt(t,zz(t0(new Kd(t.e.a)),121)),wZt(t)}}function CPt(t,e){var n,i,r,a,o;for(r=zz(l6(t.a,(N_t(),Tue)),15).Kc();r.Ob();)switch(i=zz(r.Pb(),101),n=zz(PH(i.j,0),113).d.j,mD(a=new e$(i.j),new Qr),e.g){case 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n,i,r,a,o,s,c,u,l,h;if(o=zz(zz(l6(t.r,e),21),84),s=t.u.Hc((dMt(),rMe)),n=t.u.Hc(eMe),i=t.u.Hc(tMe),u=t.u.Hc(aMe),h=t.B.Hc((e$t(),XMe)),l=!n&&!i&&(u||2==o.gc()),hPt(t,e),r=null,c=null,s){for(c=r=zz((a=o.Kc()).Pb(),111);a.Ob();)c=zz(a.Pb(),111);r.d.b=0,c.d.c=0,l&&!r.a&&(r.d.c=0)}h&&(FEt(o),s&&(r.d.b=0,c.d.c=0))}function kFt(t,e){var n,i,r,a,o,s,c,u,l,h;if(o=zz(zz(l6(t.r,e),21),84),s=t.u.Hc((dMt(),rMe)),n=t.u.Hc(eMe),i=t.u.Hc(tMe),c=t.u.Hc(aMe),h=t.B.Hc((e$t(),XMe)),u=!n&&!i&&(c||2==o.gc()),X$t(t,e),l=null,r=null,s){for(r=l=zz((a=o.Kc()).Pb(),111);a.Ob();)r=zz(a.Pb(),111);l.d.d=0,r.d.a=0,u&&!l.a&&(l.d.a=0)}h&&(REt(o),s&&(l.d.d=0,r.d.a=0))}function _Ft(t,e,n){var i,r,a,o,s;if(i=e.k,e.p>=0)return!1;if(e.p=n.b,Kz(n.e,e),i==(cCt(),Sse)||i==Mse)for(r=new Kd(e.j);r.a<r.c.c.length;)for(s=new Ug(new Kd(new Zg(zz(t0(r),11)).a.g));vD(s.a);)if(o=(a=zz(t0(s.a),17).d.i).k,e.c!=a.c&&(o==Sse||o==Mse)&&_Ft(t,a,n))return!0;return!0}function EFt(t){var e;return 0!=(64&t.Db)?$It(t):((e=new hN($It(t))).a+=" 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n,i,r,a,o,s,c;for(a=0,s=0,c=0,r=new Kd(t.f.e);r.a<r.c.c.length;)e!=(i=zz(t0(r),144))&&(a+=o=t.i[e.b][i.b],(n=K7(e.d,i.d))>0&&t.d!=(H9(),Loe)&&(s+=o*(i.d.a+t.a[e.b][i.b]*(e.d.a-i.d.a)/n)),n>0&&t.d!=(H9(),Moe)&&(c+=o*(i.d.b+t.a[e.b][i.b]*(e.d.b-i.d.b)/n)));switch(t.d.g){case 1:return new PA(s/a,e.d.b);case 2:return new PA(e.d.a,c/a);default:return new PA(s/a,c/a)}}function ejt(t,e){var n,i,r,a;if(Yut(),a=zz(vTt(t.i,(HGt(),nwe)),98),0!=t.j.g-e.j.g||a!=(V_t(),YAe)&&a!=KAe&&a!=GAe)return 0;if(a==(V_t(),YAe)&&(n=zz(vTt(t,iwe),19),i=zz(vTt(e,iwe),19),n&&i&&0!=(r=n.a-i.a)))return r;switch(t.j.g){case 1:return Aft(t.n.a,e.n.a);case 2:return Aft(t.n.b,e.n.b);case 3:return Aft(e.n.a,t.n.a);case 4:return Aft(e.n.b,t.n.b);default:throw qw(new jv(a1t))}}function njt(t){var e,n,i,r,a;for(Kz(a=new Q6((!t.a&&(t.a=new DO(PIe,t,5)),t.a).i+2),new PA(t.j,t.k)),QE(new FH(null,(!t.a&&(t.a=new DO(PIe,t,5)),new g1(t.a,16))),new Mb(a)),Kz(a,new 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e;if(1!=(!t.a&&(t.a=new nY(jIe,t,6,6)),t.a).i)throw qw(new $v(q5t+(!t.a&&(t.a=new nY(jIe,t,6,6)),t.a).i));return e=new xm,gst(zz(Wet((!t.b&&(t.b=new lR(RIe,t,4,7)),t.b),0),82))&&zrt(e,YGt(t,gst(zz(Wet((!t.b&&(t.b=new lR(RIe,t,4,7)),t.b),0),82)),!1)),gst(zz(Wet((!t.c&&(t.c=new lR(RIe,t,5,8)),t.c),0),82))&&zrt(e,YGt(t,gst(zz(Wet((!t.c&&(t.c=new lR(RIe,t,5,8)),t.c),0),82)),!0)),e}function ojt(t,e){var n,i,r;for(r=!1,i=new cU(JO((e.d?t.a.c==(bQ(),eve)?fdt(e.b):ddt(e.b):t.a.c==(bQ(),tve)?fdt(e.b):ddt(e.b)).a.Kc(),new l));bLt(i);)if(n=zz(Y5(i),17),(Hv(t.a.f[t.a.g[e.b.p].p])||d5(n)||n.c.i.c!=n.d.i.c)&&!Hv(t.a.n[t.a.g[e.b.p].p])&&!Hv(t.a.n[t.a.g[e.b.p].p])&&(r=!0,jE(t.b,t.a.g[Nmt(n,e.b).p])))return e.c=!0,e.a=n,e;return e.c=r,e.a=null,e}function sjt(t,e,n,i,r){var a,o,s,c,u,l,h;for(CX(),mD(t,new Ks),s=new T2(t,0),h=new Nw,a=0;s.b<s.d.gc();)SP(s.b<s.d.gc()),o=zz(s.d.Xb(s.c=s.b++),157),0!=h.c.length&&iZ(o)*nZ(o)>2*a?(l=new Uet(h),u=iZ(o)/nZ(o),c=xGt(l,e,new dm,n,i,r,u),YF(xI(l.e),c),h.c=P7(Dte,HKt,1,0,5,1),a=0,h.c[h.c.length]=l,h.c[h.c.length]=o,a=iZ(l)*nZ(l)+iZ(o)*nZ(o)):(h.c[h.c.length]=o,a+=iZ(o)*nZ(o));return h}function cjt(t,e,n){var i,r,a,o,s,c,u;if(0==(i=n.gc()))return!1;if(t.ej())if(c=t.fj(),kgt(t,e,n),o=1==i?t.Zi(3,null,n.Kc().Pb(),e,c):t.Zi(5,null,n,e,c),t.bj()){for(s=i<100?null:new jk(i),a=e+i,r=e;r<a;++r)u=t.Oi(r),s=t.cj(u,s);s?(s.Ei(o),s.Fi()):t.$i(o)}else t.$i(o);else if(kgt(t,e,n),t.bj()){for(s=i<100?null:new jk(i),a=e+i,r=e;r<a;++r)s=t.cj(t.Oi(r),s);s&&s.Fi()}return!0}function ujt(t,e,n){var i,r,a,o;return t.ej()?(r=null,a=t.fj(),i=t.Zi(1,o=t.Ui(e,t.oi(e,n)),n,e,a),t.bj()&&!(t.ni()&&o?Pht(o,n):ZM(o)===ZM(n))?(o&&(r=t.dj(o,r)),(r=t.cj(n,r))?(r.Ei(i),r.Fi()):t.$i(i)):r?(r.Ei(i),r.Fi()):t.$i(i),o):(o=t.Ui(e,t.oi(e,n)),t.bj()&&!(t.ni()&&o?Pht(o,n):ZM(o)===ZM(n))&&(r=null,o&&(r=t.dj(o,null)),(r=t.cj(n,r))&&r.Fi()),o)}function ljt(t,e){var i,r,a,o,s,c,u,l;if(t.e=e,t.f=zz(vTt(e,(Crt(),loe)),230),KEt(e),t.d=n.Math.max(16*e.e.c.length+e.c.c.length,256),!Hv(EB(vTt(e,(fFt(),qae)))))for(l=t.e.e.c.length,c=new Kd(e.e);c.a<c.c.c.length;)(u=zz(t0(c),144).d).a=IZ(t.f)*l,u.b=IZ(t.f)*l;for(i=e.b,o=new Kd(e.c);o.a<o.c.c.length;)if(a=zz(t0(o),282),(r=zz(vTt(a,noe),19).a)>0){for(s=0;s<r;s++)Kz(i,new lG(a));qAt(a)}}function hjt(t,e){var i,r,a,o,s;if(t.k==(cCt(),Cse)&&(i=k_(LW(zz(vTt(t,(hKt(),Sfe)),15).Oc(),new og(new ri))).sd((pT(),eie))?e:(Kvt(),EAe),hct(t,sfe,i),i!=(Kvt(),_Ae)))for(r=zz(vTt(t,pfe),17),s=Zv(TB(vTt(r,(HGt(),obe)))),o=0,i==kAe?o=t.o.b-n.Math.ceil(s/2):i==EAe&&(t.o.b-=Zv(TB(vTt(yK(t),kwe))),o=(t.o.b-n.Math.ceil(s))/2),a=new Kd(t.j);a.a<a.c.c.length;)zz(t0(a),11).n.b=o}function fjt(){fjt=I,QT(),ENe=new Fl,Ast(Zx(LDe,2),lWt,368,0,[Ast(Zx(LDe,1),_te,592,0,[new Y_(Y9t)])]),Ast(Zx(LDe,2),lWt,368,0,[Ast(Zx(LDe,1),_te,592,0,[new Y_(G9t)])]),Ast(Zx(LDe,2),lWt,368,0,[Ast(Zx(LDe,1),_te,592,0,[new Y_(K9t)]),Ast(Zx(LDe,1),_te,592,0,[new Y_(G9t)])]),new DL("-1"),Ast(Zx(LDe,2),lWt,368,0,[Ast(Zx(LDe,1),_te,592,0,[new Y_("\\c+")])]),new DL("0"),new DL("0"),new DL("1"),new DL("0"),new DL(rte)}function djt(t){var e,n;return t.c&&t.c.kh()&&(n=zz(t.c,49),t.c=zz(nht(t,n),138),t.c!=n&&(0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new tY(t,9,2,n,t.c)),aO(t.Cb,399)?t.Db>>16==-15&&t.Cb.nh()&&D9(new x8(t.Cb,9,13,n,t.c,cyt(q9(zz(t.Cb,59)),t))):aO(t.Cb,88)&&t.Db>>16==-23&&t.Cb.nh()&&(aO(e=t.c,88)||(wKt(),e=pDe),aO(n,88)||(wKt(),n=pDe),D9(new x8(t.Cb,9,10,n,e,cyt(o4(zz(t.Cb,26)),t)))))),t.c}function gjt(t,e){var n,i,r,a,o,s,c,u;for(LEt(e,"Hypernodes processing",1),i=new Kd(t.b);i.a<i.c.c.length;)for(o=new Kd(zz(t0(i),29).a);o.a<o.c.c.length;)if(Hv(EB(vTt(a=zz(t0(o),10),(HGt(),dbe))))&&a.j.c.length<=2){for(u=0,c=0,n=0,r=0,s=new Kd(a.j);s.a<s.c.c.length;)switch(zz(t0(s),11).j.g){case 1:++u;break;case 2:++c;break;case 3:++n;break;case 4:++r}0==u&&0==n&&_Gt(t,a,r<=c)}HCt(e)}function pjt(t,e){var n,i,r,a,o,s,c,u,l;for(LEt(e,"Layer constraint edge reversal",1),o=new Kd(t.b);o.a<o.c.c.length;){for(a=zz(t0(o),29),l=-1,n=new Nw,u=t2(a.a),r=0;r<u.length;r++)i=zz(vTt(u[r],(hKt(),ife)),303),-1==l?i!=(U9(),Ahe)&&(l=r):i==(U9(),Ahe)&&(SJ(u[r],null),Vvt(u[r],l++,a)),i==(U9(),Che)&&Kz(n,u[r]);for(c=new Kd(n);c.a<c.c.c.length;)SJ(s=zz(t0(c),10),null),SJ(s,a)}HCt(e)}function bjt(t,e,n){var i,r,a,o,s,c,u,l;for(LEt(n,"Hyperedge merging",1),BLt(t,e),s=new T2(e.b,0);s.b<s.d.gc();)if(SP(s.b<s.d.gc()),0!=(u=zz(s.d.Xb(s.c=s.b++),29).a).c.length)for(i=null,r=null,a=null,o=null,c=0;c<u.c.length;c++)f1(c,u.c.length),(r=(i=zz(u.c[c],10)).k)==(cCt(),Sse)&&o==Sse&&(l=hqt(i,a)).a&&(aBt(i,a,l.b,l.c),f1(c,u.c.length),S_(u.c,c,1),--c,i=a,r=o),a=i,o=r;HCt(n)}function wjt(t,e){var n,i,r;i=0!=HDt(t.d,1),!Hv(EB(vTt(e.j,(hKt(),Qhe))))&&!Hv(EB(vTt(e.j,Mfe)))||ZM(vTt(e.j,(HGt(),Ope)))===ZM((vct(),Nye))?e.c.Tf(e.e,i):i=Hv(EB(vTt(e.j,Qhe))),FNt(t,e,i,!0),Hv(EB(vTt(e.j,Mfe)))&&hct(e.j,Mfe,(lN(),!1)),Hv(EB(vTt(e.j,Qhe)))&&(hct(e.j,Qhe,(lN(),!1)),hct(e.j,Mfe,!0)),n=iRt(t,e);do{if(Ort(t),0==n)return 0;r=n,FNt(t,e,i=!i,!1),n=iRt(t,e)}while(r>n);return r}function yjt(t,e){var n,i,r;i=0!=HDt(t.d,1),!Hv(EB(vTt(e.j,(hKt(),Qhe))))&&!Hv(EB(vTt(e.j,Mfe)))||ZM(vTt(e.j,(HGt(),Ope)))===ZM((vct(),Nye))?e.c.Tf(e.e,i):i=Hv(EB(vTt(e.j,Qhe))),FNt(t,e,i,!0),Hv(EB(vTt(e.j,Mfe)))&&hct(e.j,Mfe,(lN(),!1)),Hv(EB(vTt(e.j,Qhe)))&&(hct(e.j,Qhe,(lN(),!1)),hct(e.j,Mfe,!0)),n=eAt(t,e);do{if(Ort(t),0==n)return 0;r=n,FNt(t,e,i=!i,!1),n=eAt(t,e)}while(r>n);return r}function mjt(t,e,n){var i,r,a,o,s,c,u;if(e==n)return!0;if(e=gLt(t,e),n=gLt(t,n),i=Zyt(e)){if((c=Zyt(n))!=i)return!!c&&(o=i.Dj())==c.Dj()&&null!=o;if(!e.d&&(e.d=new DO(WLe,e,1)),r=(a=e.d).i,!n.d&&(n.d=new DO(WLe,n,1)),r==(u=n.d).i)for(s=0;s<r;++s)if(!mjt(t,zz(Wet(a,s),87),zz(Wet(u,s),87)))return!1;return!0}return e.e==n.e}function vjt(t,e,n,i){var r,a,o,s,c,u,l,h;if(OPt(t.e,e)){for(h=sPt(t.e.Tg(),e),a=zz(t.g,119),l=null,c=-1,s=-1,r=0,u=0;u<t.i;++u)o=a[u],h.rl(o.ak())&&(r==n&&(c=u),r==i&&(s=u,l=o.dd()),++r);if(-1==c)throw qw(new Lv(c7t+n+u7t+r));if(-1==s)throw qw(new Lv(l7t+i+u7t+r));return Ift(t,c,s),mL(t.e)&&Oy(t,OV(t,7,e,rft(i),l,n,!0)),l}throw qw(new $v("The feature must be many-valued to support move"))}function xjt(t,e,n,i){var r,a,o,s,c;switch((c=new gL(e.n)).a+=e.o.a/2,c.b+=e.o.b/2,s=Zv(TB(vTt(e,(HGt(),ewe)))),a=t.f,o=t.d,r=t.c,zz(vTt(e,(hKt(),Xhe)),61).g){case 1:c.a+=o.b+r.a-n/2,c.b=-i-s,e.n.b=-(o.d+s+r.b);break;case 2:c.a=a.a+o.b+o.c+s,c.b+=o.d+r.b-i/2,e.n.a=a.a+o.c+s-r.a;break;case 3:c.a+=o.b+r.a-n/2,c.b=a.b+o.d+o.a+s,e.n.b=a.b+o.a+s-r.b;break;case 4:c.a=-n-s,c.b+=o.d+r.b-i/2,e.n.a=-(o.b+s+r.a)}return c}function kjt(t){var e,n,i,r,a,o;return Zot(i=new vit,t),ZM(vTt(i,(HGt(),Ype)))===ZM((zht(),zSe))&&hct(i,Ype,Wft(i)),null==vTt(i,(A6(),ETe))&&(o=zz(OTt(t),160),hct(i,ETe,iI(o.We(ETe)))),hct(i,(hKt(),pfe),t),hct(i,Jhe,new VR(e=zz(Wk(Ehe),9),zz(CF(e,e.length),9),0)),r=AUt((QQ(t)&&(ZT(),new Bv(QQ(t))),ZT(),new QN(QQ(t)?new Bv(QQ(t)):null,t)),jSe),a=zz(vTt(i,Ube),116),nJ(n=i.d,a),nJ(n,r),i}function _jt(t,e,n){var i,r;i=e.c.i,r=n.d.i,i.k==(cCt(),Sse)?(hct(t,(hKt(),lfe),zz(vTt(i,lfe),11)),hct(t,hfe,zz(vTt(i,hfe),11)),hct(t,ufe,EB(vTt(i,ufe)))):i.k==Cse?(hct(t,(hKt(),lfe),zz(vTt(i,lfe),11)),hct(t,hfe,zz(vTt(i,hfe),11)),hct(t,ufe,(lN(),!0))):r.k==Cse?(hct(t,(hKt(),lfe),zz(vTt(r,lfe),11)),hct(t,hfe,zz(vTt(r,hfe),11)),hct(t,ufe,(lN(),!0))):(hct(t,(hKt(),lfe),e.c),hct(t,hfe,n.d))}function Ejt(t){var e,n,i,r,a,o,s;for(t.o=new Ow,i=new VE,o=new Kd(t.e.a);o.a<o.c.c.length;)1==kdt(a=zz(t0(o),121)).c.length&&r5(i,a,i.c.b,i.c);for(;0!=i.b;)0!=kdt(a=zz(0==i.b?null:(SP(0!=i.b),Det(i,i.a.a)),121)).c.length&&(e=zz(PH(kdt(a),0),213),n=a.g.a.c.length>0,s=Pdt(e,a),RN(n?s.b:s.g,e),1==kdt(s).c.length&&r5(i,s,i.c.b,i.c),r=new rM(a,e),p3(t.o,r),v9(t.e.a,a))}function Tjt(t,e){var i,r,a,o;return r=n.Math.abs(HU(t.b).a-HU(e.b).a),o=n.Math.abs(HU(t.b).b-HU(e.b).b),i=1,a=1,r>t.b.b/2+e.b.b/2&&(i=1-n.Math.min(n.Math.abs(t.b.c-(e.b.c+e.b.b)),n.Math.abs(t.b.c+t.b.b-e.b.c))/r),o>t.b.a/2+e.b.a/2&&(a=1-n.Math.min(n.Math.abs(t.b.d-(e.b.d+e.b.a)),n.Math.abs(t.b.d+t.b.a-e.b.d))/o),(1-n.Math.min(i,a))*n.Math.sqrt(r*r+o*o)}function Cjt(t){var e,n,i;for(eYt(t,t.e,t.f,(pQ(),Ove),!0,t.c,t.i),eYt(t,t.e,t.f,Ove,!1,t.c,t.i),eYt(t,t.e,t.f,Nve,!0,t.c,t.i),eYt(t,t.e,t.f,Nve,!1,t.c,t.i),Ijt(t,t.c,t.e,t.f,t.i),n=new T2(t.i,0);n.b<n.d.gc();)for(SP(n.b<n.d.gc()),e=zz(n.d.Xb(n.c=n.b++),128),i=new T2(t.i,n.b);i.b<i.d.gc();)SP(i.b<i.d.gc()),PHt(e,zz(i.d.Xb(i.c=i.b++),128));IGt(t.i,zz(vTt(t.d,(hKt(),Cfe)),230)),UZt(t.i)}function Sjt(t,e){var n,i;if(null!=e)if(i=rvt(t)){if(0==(1&i.i))return tC(),!(n=zz(FG(mLe,i),55))||n.wj(e);if(i==DNe)return UM(e);if(i==LNe)return aO(e,19);if(i==BNe)return aO(e,155);if(i==NNe)return aO(e,217);if(i==INe)return aO(e,172);if(i==PNe)return YM(e);if(i==FNe)return aO(e,184);if(i==ONe)return aO(e,162)}else if(aO(e,56))return t.uk(zz(e,56));return!1}function Ajt(){var t,e,n,i,r,a,o,s,c;for(Ajt=I,KOe=P7(NNe,m6t,25,255,15,1),WOe=P7(INe,WWt,25,64,15,1),e=0;e<255;e++)KOe[e]=-1;for(n=90;n>=65;n--)KOe[n]=n-65<<24>>24;for(i=122;i>=97;i--)KOe[i]=i-97+26<<24>>24;for(r=57;r>=48;r--)KOe[r]=r-48+52<<24>>24;for(KOe[43]=62,KOe[47]=63,a=0;a<=25;a++)WOe[a]=65+a&VWt;for(o=26,c=0;o<=51;++o,c++)WOe[o]=97+c&VWt;for(t=52,s=0;t<=61;++t,s++)WOe[t]=48+s&VWt;WOe[62]=43,WOe[63]=47}function Mjt(t,e){var i,r,a,o,s,c,u,l,h,f,d;if(t.dc())return new Zk;for(u=0,h=0,r=t.Kc();r.Ob();)a=zz(r.Pb(),37).f,u=n.Math.max(u,a.a),h+=a.a*a.b;for(u=n.Math.max(u,n.Math.sqrt(h)*Zv(TB(vTt(zz(t.Kc().Pb(),37),(HGt(),_pe))))),f=0,d=0,c=0,i=e,s=t.Kc();s.Ob();)f+(l=(o=zz(s.Pb(),37)).f).a>u&&(f=0,d+=c+e,c=0),tRt(o,f,d),i=n.Math.max(i,f+l.a),c=n.Math.max(c,l.b),f+=l.a+e;return new PA(i+e,d+c+e)}function Ijt(t,e,n,i,r){var a,o,s,c,u,l,h;for(o=new Kd(e);o.a<o.c.c.length;){if(c=(a=zz(t0(o),17)).c,n.a._b(c))pQ(),u=Ove;else{if(!i.a._b(c))throw qw(new $v("Source port must be in one of the port sets."));pQ(),u=Nve}if(l=a.d,n.a._b(l))pQ(),h=Ove;else{if(!i.a._b(l))throw qw(new $v("Target port must be in one of the port sets."));pQ(),h=Nve}s=new nAt(a,u,h),WK(t.b,a,s),r.c[r.c.length]=s}}function Ljt(t,e){var n,i,r,a,o,s,c;if(!KQ(t))throw qw(new jv(z5t));if(a=(i=KQ(t)).g,r=i.f,a<=0&&r<=0)return kYt(),SMe;switch(s=t.i,c=t.j,e.g){case 2:case 1:if(s<0)return kYt(),AMe;if(s+t.g>a)return kYt(),cMe;break;case 4:case 3:if(c<0)return kYt(),uMe;if(c+t.f>r)return kYt(),CMe}return(o=(s+t.g/2)/a)+(n=(c+t.f/2)/r)<=1&&o-n<=0?(kYt(),AMe):o+n>=1&&o-n>=0?(kYt(),cMe):n<.5?(kYt(),uMe):(kYt(),CMe)}function Djt(t,e,n,i,r){var a,o;if(a=adt(n0(e[0],GXt),n0(i[0],GXt)),t[0]=pZ(a),a=xU(a,32),n>=r){for(o=1;o<r;o++)a=adt(a,adt(n0(e[o],GXt),n0(i[o],GXt))),t[o]=pZ(a),a=xU(a,32);for(;o<n;o++)a=adt(a,n0(e[o],GXt)),t[o]=pZ(a),a=xU(a,32)}else{for(o=1;o<n;o++)a=adt(a,adt(n0(e[o],GXt),n0(i[o],GXt))),t[o]=pZ(a),a=xU(a,32);for(;o<r;o++)a=adt(a,n0(i[o],GXt)),t[o]=pZ(a),a=xU(a,32)}0!=Xlt(a,0)&&(t[o]=pZ(a))}function Ojt(t){var e,n,i,r,a,o;if(pKt(),4!=t.e&&5!=t.e)throw qw(new $v("Token#complementRanges(): must be RANGE: "+t.e));for(TDt(a=t),Zqt(a),i=a.b.length+2,0==a.b[0]&&(i-=2),(n=a.b[a.b.length-1])==cte&&(i-=2),(r=new T0(4)).b=P7(LNe,hXt,25,i,15,1),o=0,a.b[0]>0&&(r.b[o++]=0,r.b[o++]=a.b[0]-1),e=1;e<a.b.length-2;e+=2)r.b[o++]=a.b[e]+1,r.b[o++]=a.b[e+1]-1;return n!=cte&&(r.b[o++]=n+1,r.b[o]=cte),r.a=!0,r}function Njt(t,e,n){var i,r,a,o,s,c,u,l;if(0==(i=n.gc()))return!1;if(t.ej())if(u=t.fj(),qEt(t,e,n),o=1==i?t.Zi(3,null,n.Kc().Pb(),e,u):t.Zi(5,null,n,e,u),t.bj()){for(s=i<100?null:new jk(i),a=e+i,r=e;r<a;++r)l=t.g[r],s=t.cj(l,s),s=t.jj(l,s);s?(s.Ei(o),s.Fi()):t.$i(o)}else t.$i(o);else if(qEt(t,e,n),t.bj()){for(s=i<100?null:new jk(i),a=e+i,r=e;r<a;++r)c=t.g[r],s=t.cj(c,s);s&&s.Fi()}return!0}function Pjt(t,e,n,i){var r,a,o,s,c;for(o=new Kd(t.k);o.a<o.c.c.length;)r=zz(t0(o),129),i&&r.c!=(I6(),Eve)||(c=r.b).g<0&&r.d>0&&(Wf(c,c.d-r.d),r.c==(I6(),Eve)&&Gf(c,c.a-r.d),c.d<=0&&c.i>0&&r5(e,c,e.c.b,e.c));for(a=new Kd(t.f);a.a<a.c.c.length;)r=zz(t0(a),129),i&&r.c!=(I6(),Eve)||(s=r.a).g<0&&r.d>0&&(Xf(s,s.i-r.d),r.c==(I6(),Eve)&&Kf(s,s.b-r.d),s.i<=0&&s.d>0&&r5(n,s,n.c.b,n.c))}function Bjt(t,e,n){var i,r,a,o,s,c,u,l;for(LEt(n,"Processor compute fanout",1),DY(t.b),DY(t.a),s=null,a=lwt(e.b,0);!s&&a.b!=a.d.c;)Hv(EB(vTt(u=zz(d3(a),86),(ZHt(),pxe))))&&(s=u);for(r5(c=new VE,s,c.c.b,c.c),_Yt(t,c),l=lwt(e.b,0);l.b!=l.d.c;)o=CB(vTt(u=zz(d3(l),86),(ZHt(),rxe))),r=null!=CQ(t.b,o)?zz(CQ(t.b,o),19).a:0,hct(u,ixe,rft(r)),i=1+(null!=CQ(t.a,o)?zz(CQ(t.a,o),19).a:0),hct(u,exe,rft(i));HCt(n)}function Fjt(t,e,n,i,r){var a,o,s,c,u,l,h,f,d;for(h=x_t(t,n),s=0;s<e;s++){for(vF(r,n),f=new Nw,SP(i.b<i.d.gc()),d=zz(i.d.Xb(i.c=i.b++),407),u=h+s;u<t.b;u++)o=d,SP(i.b<i.d.gc()),Kz(f,new EPt(o,d=zz(i.d.Xb(i.c=i.b++),407),n));for(l=h+s;l<t.b;l++)SP(i.b>0),i.a.Xb(i.c=--i.b),l>h+s&&hK(i);for(a=new Kd(f);a.a<a.c.c.length;)vF(i,zz(t0(a),407));if(s<e-1)for(c=h+s;c<t.b;c++)SP(i.b>0),i.a.Xb(i.c=--i.b)}}function Rjt(){var t,e,n,i,r,a;if(pKt(),ANe)return ANe;for(lqt(t=new T0(4),tGt(yte,!0)),WZt(t,tGt("M",!0)),WZt(t,tGt("C",!0)),a=new T0(4),i=0;i<11;i++)QPt(a,i,i);return lqt(e=new T0(4),tGt("M",!0)),QPt(e,4448,4607),QPt(e,65438,65439),nHt(r=new rD(2),t),nHt(r,uNe),(n=new rD(2)).$l(bZ(a,tGt("L",!0))),n.$l(e),n=new l4(3,n),n=new YY(r,n),ANe=n}function $jt(t){var e,n;if(!Qat(e=CB(tDt(t,(lKt(),nCe))),t)&&!S7(t,mSe)&&(0!=(!t.a&&(t.a=new nY(YIe,t,10,11)),t.a).i||Hv(EB(tDt(t,CCe))))){if(null!=e&&0!=RTt(e).length)throw wUt(t,n=cI(cI(new fN("Layout algorithm '"),e),"' not found for ")),qw(new rx(n.a));if(!Qat(p1t,t))throw wUt(t,n=cI(cI(new fN("Unable to load default layout algorithm "),p1t)," for unconfigured node ")),qw(new rx(n.a))}}function jjt(t){var e,i,r,a,o,s,c,u,l,h,f,d,g;if(i=t.i,e=t.n,0==t.b)for(g=i.c+e.b,d=i.b-e.b-e.c,u=0,h=(s=t.a).length;u<h;++u)YZ(a=s[u],g,d);else r=Wyt(t,!1),YZ(t.a[0],i.c+e.b,r[0]),YZ(t.a[2],i.c+i.b-e.c-r[2],r[2]),f=i.b-e.b-e.c,r[0]>0&&(f-=r[0]+t.c,r[0]+=t.c),r[2]>0&&(f-=r[2]+t.c),r[1]=n.Math.max(r[1],f),YZ(t.a[1],i.c+e.b+r[0]-(r[1]-f)/2,r[1]);for(c=0,l=(o=t.a).length;c<l;++c)aO(a=o[c],326)&&zz(a,326).Te()}function zjt(t){var e,n,i,r,a,o,s,c,u,l,h;for((h=new oo).d=0,o=new Kd(t.b);o.a<o.c.c.length;)a=zz(t0(o),29),h.d+=a.a.c.length;for(i=0,r=0,h.a=P7(LNe,hXt,25,t.b.c.length,15,1),u=0,l=0,h.e=P7(LNe,hXt,25,h.d,15,1),n=new Kd(t.b);n.a<n.c.c.length;)for((e=zz(t0(n),29)).p=i++,h.a[e.p]=r++,l=0,c=new Kd(e.a);c.a<c.c.c.length;)(s=zz(t0(c),10)).p=u++,h.e[s.p]=l++;return h.c=new hb(h),h.b=uP(h.d),H$t(h,t),h.f=uP(h.d),Z$t(h,t),h}function qjt(t,e){var i,r,a;for(a=zz(PH(t.n,t.n.c.length-1),211).d,t.p=n.Math.min(t.p,e.g),t.r=n.Math.max(t.r,a),t.g=n.Math.max(t.g,e.g+(1==t.b.c.length?0:t.i)),t.o=n.Math.min(t.o,e.f),t.e+=e.f+(1==t.b.c.length?0:t.i),t.f=n.Math.max(t.f,e.f),r=t.n.c.length>0?(t.n.c.length-1)*t.i:0,i=new Kd(t.n);i.a<i.c.c.length;)r+=zz(t0(i),211).a;t.d=r,t.a=t.e/t.b.c.length-t.i*((t.b.c.length-1)/t.b.c.length),xvt(t.j)}function Hjt(t,e){var n,i,r,a,o,s,c,u,l;if(null==(u=EB(vTt(e,(fFt(),ioe))))||(xK(u),u)){for(l=P7(DNe,tQt,25,e.e.c.length,16,1),o=kIt(e),r=new VE,c=new Kd(e.e);c.a<c.c.c.length;)(n=QDt(t,zz(t0(c),144),null,null,l,o))&&(Zot(n,e),r5(r,n,r.c.b,r.c));if(r.b>1)for(i=lwt(r,0);i.b!=i.d.c;)for(a=0,s=new Kd((n=zz(d3(i),231)).e);s.a<s.c.c.length;)zz(t0(s),144).b=a++;return r}return s6(Ast(Zx(Rae,1),nJt,231,0,[e]))}function Zjt(t){var e,n,i,r,a;if(!t.g){if(a=new Ec,null==(e=SDe).a.zc(t,e)){for(n=new LO(xV(t));n.e!=n.i.gc();)wG(a,Zjt(zz(kwt(n),26)));e.a.Bc(t),e.a.gc()}for(i=a.i,!t.s&&(t.s=new nY(jLe,t,21,17)),r=new LO(t.s);r.e!=r.i.gc();++i)sd(zz(kwt(r),449),i);wG(a,(!t.s&&(t.s=new nY(jLe,t,21,17)),t.s)),olt(a),t.g=new bct(t,a),t.i=zz(a.g,247),null==t.i&&(t.i=MDe),t.p=null,S5(t).b&=-5}return t.g}function Ujt(t){var e,i,r,a,o,s,c,u,l,h,f,d,g;if(r=t.i,i=t.n,0==t.b)e=Kyt(t,!1),GZ(t.a[0],r.d+i.d,e[0]),GZ(t.a[2],r.d+r.a-i.a-e[2],e[2]),f=r.a-i.d-i.a,e[0]>0&&(e[0]+=t.c,f-=e[0]),e[2]>0&&(f-=e[2]+t.c),e[1]=n.Math.max(e[1],f),GZ(t.a[1],r.d+i.d+e[0]-(e[1]-f)/2,e[1]);else for(g=r.d+i.d,d=r.a-i.d-i.a,u=0,h=(s=t.a).length;u<h;++u)GZ(a=s[u],g,d);for(c=0,l=(o=t.a).length;c<l;++c)aO(a=o[c],326)&&zz(a,326).Ue()}function Yjt(t){var e,n,i,r,a,o,s,c,u;for(u=P7(LNe,hXt,25,t.b.c.length+1,15,1),c=new Fy,i=0,a=new Kd(t.b);a.a<a.c.c.length;){for(r=zz(t0(a),29),u[i++]=c.a.gc(),s=new Kd(r.a);s.a<s.c.c.length;)for(n=new cU(JO(ddt(zz(t0(s),10)).a.Kc(),new l));bLt(n);)e=zz(Y5(n),17),c.a.zc(e,c);for(o=new Kd(r.a);o.a<o.c.c.length;)for(n=new cU(JO(fdt(zz(t0(o),10)).a.Kc(),new l));bLt(n);)e=zz(Y5(n),17),c.a.Bc(e)}return u}function Gjt(t,e,n,i){var r,a,o,s,c;if(c=sPt(t.e.Tg(),e),r=zz(t.g,119),JT(),zz(e,66).Oj()){for(o=0;o<t.i;++o)if(a=r[o],c.rl(a.ak())&&Pht(a,n))return!0}else if(null!=n){for(s=0;s<t.i;++s)if(a=r[s],c.rl(a.ak())&&Pht(n,a.dd()))return!0;if(i)for(o=0;o<t.i;++o)if(a=r[o],c.rl(a.ak())&&ZM(n)===ZM(lB(t,zz(a.dd(),56))))return!0}else for(o=0;o<t.i;++o)if(a=r[o],c.rl(a.ak())&&null==a.dd())return!1;return!1}function Kjt(t,e,n,i){var r,a,o,s,c,u;if(u=sPt(t.e.Tg(),e),o=zz(t.g,119),OPt(t.e,e)){if(e.hi()&&(a=yzt(t,e,i,aO(e,99)&&0!=(zz(e,18).Bb&qXt)))>=0&&a!=n)throw qw(new $v(s7t));for(r=0,c=0;c<t.i;++c)if(s=o[c],u.rl(s.ak())){if(r==n)return zz(uyt(t,c,(JT(),zz(e,66).Oj()?zz(i,72):J3(e,i))),72);++r}throw qw(new Lv(i8t+n+u7t+r))}for(c=0;c<t.i;++c)if(s=o[c],u.rl(s.ak()))return JT(),zz(e,66).Oj()?s:s.dd();return null}function Wjt(t,e,i,r){var a,o,s,c;for(c=i,s=new Kd(e.a);s.a<s.c.c.length;){if(o=zz(t0(s),221),a=zz(o.b,65),Idt(t.b.c,a.b.c+a.b.b)<=0&&Idt(a.b.c,t.b.c+t.b.b)<=0&&Idt(t.b.d,a.b.d+a.b.a)<=0&&Idt(a.b.d,t.b.d+t.b.a)<=0){if(0==Idt(a.b.c,t.b.c+t.b.b)&&r.a<0||0==Idt(a.b.c+a.b.b,t.b.c)&&r.a>0||0==Idt(a.b.d,t.b.d+t.b.a)&&r.b<0||0==Idt(a.b.d+a.b.a,t.b.d)&&r.b>0){c=0;break}}else c=n.Math.min(c,HAt(t,a,r));c=n.Math.min(c,Wjt(t,o,c,r))}return c}function Xjt(t,e){var n,i,r,a,o,s;if(t.b<2)throw qw(new $v("The vector chain must contain at least a source and a target point."));for(SP(0!=t.b),AL(e,(i=zz(t.a.a.c,8)).a,i.b),s=new aP((!e.a&&(e.a=new DO(PIe,e,5)),e.a)),a=lwt(t,1);a.a<t.b-1;)o=zz(d3(a),8),s.e!=s.i.gc()?n=zz(kwt(s),469):(e_(),upt(s,n=new ac)),EL(n,o.a,o.b);for(;s.e!=s.i.gc();)kwt(s),Vkt(s);SP(0!=t.b),SL(e,(r=zz(t.c.b.c,8)).a,r.b)}function Vjt(t,e){var n,i,r,a,o,s,c,u;for(n=0,i=new Kd((f1(0,t.c.length),zz(t.c[0],101)).g.b.j);i.a<i.c.c.length;)zz(t0(i),11).p=n++;for(e==(kYt(),uMe)?mD(t,new ta):mD(t,new ea),o=0,u=t.c.length-1;o<u;)f1(o,t.c.length),a=zz(t.c[o],101),f1(u,t.c.length),c=zz(t.c[u],101),r=e==uMe?a.c:a.a,s=e==uMe?c.a:c.c,dY(a,e,(Lst(),vue),r),dY(c,e,mue,s),++o,--u;o==u&&dY((f1(o,t.c.length),zz(t.c[o],101)),e,(Lst(),yue),null)}function Qjt(t,e,n){var i,r,a,o,s,c,u,l,h,f;return l=t.a.i+t.a.g/2,h=t.a.i+t.a.g/2,o=new PA(e.i+e.g/2,e.j+e.f/2),(c=zz(tDt(e,(lKt(),bSe)),8)).a=c.a+l,c.b=c.b+h,r=(o.b-c.b)/(o.a-c.a),i=o.b-r*o.a,s=new PA(n.i+n.g/2,n.j+n.f/2),(u=zz(tDt(n,bSe),8)).a=u.a+l,u.b=u.b+h,a=(s.b-u.b)/(s.a-u.a),f=(i-(s.b-a*s.a))/(a-r),!(c.a<f&&o.a<f||f<c.a&&f<o.a||u.a<f&&s.a<f||f<u.a&&f<s.a)}function Jjt(t,e){var n,i,r,a,o,s;if(!(o=zz(FG(t.c,e),183)))throw qw(new nx("Edge did not exist in input."));return i=Vpt(o),!K_((!e.a&&(e.a=new nY(jIe,e,6,6)),e.a))&&(n=new Tz(t,i,s=new Af),gI((!e.a&&(e.a=new 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Kd(t.a);o.a<o.c.c.length;)(a=zz(t0(o),10)).k==(cCt(),Tse)&&((r=zz(vTt(a,Xhe),61))==(kYt(),cMe)?a.n.a+=n.a-e.a:r==CMe&&(a.n.b+=n.b-e.b));s=t.d,t.f.a=n.a-s.b-s.c,t.f.b=n.b-s.d-s.a}function Wzt(t){var e,i,r,a,o,s,c,u,l,h;for(u=new Md(new Ad(BIt(t)).a.vc().Kc());u.a.Ob();){for(r=zz(u.a.Pb(),42),l=0,h=0,l=(c=zz(r.cd(),10)).d.d,h=c.o.b+c.d.a,t.d[c.p]=0,e=c;(a=t.a[e.p])!=c;)i=Cbt(e,a),s=0,s=t.c==(bQ(),tve)?i.d.n.b+i.d.a.b-i.c.n.b-i.c.a.b:i.c.n.b+i.c.a.b-i.d.n.b-i.d.a.b,o=Zv(t.d[e.p])+s,t.d[a.p]=o,l=n.Math.max(l,a.d.d-o),h=n.Math.max(h,o+a.o.b+a.d.a),e=a;e=c;do{t.d[e.p]=Zv(t.d[e.p])+l,e=t.a[e.p]}while(e!=c);t.b[c.p]=l+h}}function Xzt(t){var e,i,r,a,o,s,c,u,l,h,f;for(t.b=!1,h=RXt,c=$Xt,f=RXt,u=$Xt,i=t.e.a.ec().Kc();i.Ob();)for(r=(e=zz(i.Pb(),266)).a,h=n.Math.min(h,r.c),c=n.Math.max(c,r.c+r.b),f=n.Math.min(f,r.d),u=n.Math.max(u,r.d+r.a),o=new Kd(e.c);o.a<o.c.c.length;)(a=zz(t0(o),395)).a.a?(s=(l=r.d+a.b.b)+a.c,f=n.Math.min(f,l),u=n.Math.max(u,s)):(s=(l=r.c+a.b.a)+a.c,h=n.Math.min(h,l),c=n.Math.max(c,s));t.a=new PA(c-h,u-f),t.c=new PA(h+t.d.a,f+t.d.b)}function Vzt(t,e,n){var i,r,a,o,s,c,u,l;for(l=new Nw,a=0,nit(u=new P0(0,n),new sut(0,0,u,n)),r=0,c=new LO(t);c.e!=c.i.gc();)s=zz(kwt(c),33),i=zz(PH(u.a,u.a.c.length-1),187),r+s.g+(0==zz(PH(u.a,0),187).b.c.length?0:n)>e&&(r=0,a+=u.b+n,l.c[l.c.length]=u,nit(u=new P0(a,n),i=new sut(0,u.f,u,n)),r=0),0==i.b.c.length||s.f>=i.o&&s.f<=i.f||.5*i.a<=s.f&&1.5*i.a>=s.f?xdt(i,s):(nit(u,o=new sut(i.s+i.r+n,u.f,u,n)),xdt(o,s)),r=s.i+s.g;return l.c[l.c.length]=u,l}function Qzt(t){var e,n,i,r,a,o;if(!t.a){if(t.o=null,o=new bw(t),e=new Cc,null==(n=SDe).a.zc(t,n)){for(a=new LO(xV(t));a.e!=a.i.gc();)wG(o,Qzt(zz(kwt(a),26)));n.a.Bc(t),n.a.gc()}for(!t.s&&(t.s=new nY(jLe,t,21,17)),r=new LO(t.s);r.e!=r.i.gc();)aO(i=zz(kwt(r),170),322)&&h8(e,zz(i,34));olt(e),t.k=new 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d4(t.e,4,e,n,null,r,!0):OV(t,e.Kj()?2:1,e,n,e.zj(),-1,!0),i?i.Ei(u):i=u),i=TRt(t,c,i)),i}function eqt(t,e,i,r,a,o,s){var c,u,l,h,f,d,g,p;switch(g=0,p=0,u=a.c,c=a.b,h=i.f,d=i.g,e.g){case 0:g=r.i+r.g+s,p=t.c?wEt(g,o,r,s):r.j,f=n.Math.max(u,g+d),l=n.Math.max(c,p+h);break;case 1:p=r.j+r.f+s,g=t.c?bEt(p,o,r,s):r.i,f=n.Math.max(u,g+d),l=n.Math.max(c,p+h);break;case 2:g=u+s,p=0,f=u+s+d,l=n.Math.max(c,h);break;case 3:g=0,p=c+s,f=n.Math.max(u,d),l=c+s+h;break;default:throw qw(new $v("IllegalPlacementOption."))}return new sgt(t.a,f,l,e,g,p)}function nqt(t){var e,i,r,a,o,s,c,u,l,h,f,d;if(c=t.d,f=zz(vTt(t,(hKt(),Rfe)),15),e=zz(vTt(t,Bhe),15),f||e){if(o=Zv(TB(ipt(t,(HGt(),wwe)))),s=Zv(TB(ipt(t,ywe))),d=0,f){for(l=0,a=f.Kc();a.Ob();)r=zz(a.Pb(),10),l=n.Math.max(l,r.o.b),d+=r.o.a;d+=o*(f.gc()-1),c.d+=l+s}if(i=0,e){for(l=0,a=e.Kc();a.Ob();)r=zz(a.Pb(),10),l=n.Math.max(l,r.o.b),i+=r.o.a;i+=o*(e.gc()-1),c.a+=l+s}(u=n.Math.max(d,i))>t.o.a&&(h=(u-t.o.a)/2,c.b=n.Math.max(c.b,h),c.c=n.Math.max(c.c,h))}}function iqt(t){var e,n,i,r,a,o;for(aL(r=new F0,(Pst(),QEe)),i=new Cd(new Qv(new EE(t,_rt(t,P7(Vee,lWt,2,0,6,1))).b));i.b<i.d.gc();)SP(i.b<i.d.gc()),n=CB(i.d.Xb(i.c=i.b++)),(a=yZt(fLe,n))&&null!=(o=tZt(a,(e=UQ(t,n)).je()?e.je().a:e.ge()?""+e.ge().a:e.he()?""+e.he().a:e.Ib()))&&((CN(a.j,(awt(),uTe))||CN(a.j,lTe))&&lct(Vtt(r,YIe),a,o),CN(a.j,sTe)&&lct(Vtt(r,$Ie),a,o),CN(a.j,hTe)&&lct(Vtt(r,GIe),a,o),CN(a.j,cTe)&&lct(Vtt(r,UIe),a,o));return r}function rqt(t,e,n,i){var r,a,o,s,c,u;if(c=sPt(t.e.Tg(),e),a=zz(t.g,119),OPt(t.e,e)){for(r=0,s=0;s<t.i;++s)if(o=a[s],c.rl(o.ak())){if(r==n)return JT(),zz(e,66).Oj()?o:(null!=(u=o.dd())&&i&&aO(e,99)&&0!=(zz(e,18).Bb&qXt)&&(u=zMt(t,e,s,r,u)),u);++r}throw qw(new Lv(i8t+n+u7t+r))}for(r=0,s=0;s<t.i;++s){if(o=a[s],c.rl(o.ak()))return JT(),zz(e,66).Oj()?o:(null!=(u=o.dd())&&i&&aO(e,99)&&0!=(zz(e,18).Bb&qXt)&&(u=zMt(t,e,s,r,u)),u);++r}return e.zj()}function aqt(t,e,n){var i,r,a,o,s,c,u,l;if(r=zz(t.g,119),OPt(t.e,e))return JT(),zz(e,66).Oj()?new fH(e,t):new PM(e,t);for(u=sPt(t.e.Tg(),e),i=0,s=0;s<t.i;++s){if(o=(a=r[s]).ak(),u.rl(o)){if(JT(),zz(e,66).Oj())return a;if(o==(TIt(),fOe)||o==uOe){for(c=new fN(qdt(a.dd()));++s<t.i;)((o=(a=r[s]).ak())==fOe||o==uOe)&&cI(c,qdt(a.dd()));return bR(zz(e.Yj(),148),c.a)}return null!=(l=a.dd())&&n&&aO(e,99)&&0!=(zz(e,18).Bb&qXt)&&(l=zMt(t,e,s,i,l)),l}++i}return e.zj()}function oqt(t,e,i){var r,a,o,s,c,u,l,h,f,d;for(o=0,s=t.t,a=0,r=0,u=0,d=0,f=0,i&&(t.n.c=P7(Dte,HKt,1,0,5,1),Kz(t.n,new FQ(t.s,t.t,t.i))),c=0,h=new Kd(t.b);h.a<h.c.c.length;)o+(l=zz(t0(h),33)).g+(c>0?t.i:0)>e&&u>0&&(o=0,s+=u+t.i,a=n.Math.max(a,d),r+=u+t.i,u=0,d=0,i&&(++f,Kz(t.n,new FQ(t.s,s,t.i))),c=0),d+=l.g+(c>0?t.i:0),u=n.Math.max(u,l.f),i&&lmt(zz(PH(t.n,f),211),l),o+=l.g+(c>0?t.i:0),++c;return a=n.Math.max(a,d),r+=u,i&&(t.r=a,t.d=r,xvt(t.j)),new YW(t.s,t.t,a,r)}function sqt(t,e,n,i,r){var a,o,s,c,u,l,h,f,d;if(DE(),CY(t,"src"),CY(n,"dest"),f=nut(t),c=nut(n),wq(0!=(4&f.i),"srcType is not an array"),wq(0!=(4&c.i),"destType is not an array"),h=f.c,o=c.c,wq(0!=(1&h.i)?h==o:0==(1&o.i),"Array types don't match"),d=t.length,u=n.length,e<0||i<0||r<0||e+r>d||i+r>u)throw qw(new hy);if(0==(1&h.i)&&f!=c)if(l=int(t),a=int(n),ZM(t)===ZM(n)&&e<i)for(e+=r,s=i+r;s-- >i;)DG(a,s,l[--e]);else for(s=i+r;i<s;)DG(a,i++,l[e++]);else r>0&&jAt(t,e,n,i,r,!0)}function cqt(){cqt=I,ane=Ast(Zx(LNe,1),hXt,25,15,[jWt,1162261467,LWt,1220703125,362797056,1977326743,LWt,387420489,DXt,214358881,429981696,815730721,1475789056,170859375,268435456,410338673,612220032,893871739,128e7,1801088541,113379904,148035889,191102976,244140625,308915776,387420489,481890304,594823321,729e6,887503681,LWt,1291467969,1544804416,1838265625,60466176]),one=Ast(Zx(LNe,1),hXt,25,15,[-1,-1,31,19,15,13,11,11,10,9,9,8,8,8,8,7,7,7,7,7,7,7,6,6,6,6,6,6,6,6,6,6,6,6,6,6,5])}function uqt(t){var e,n,i,r,a,o,s;for(i=new Kd(t.b);i.a<i.c.c.length;)for(a=new Kd(o0(zz(t0(i),29).a));a.a<a.c.c.length;)if(Jtt(r=zz(t0(a),10))&&!(n=zz(vTt(r,(hKt(),Fhe)),305)).g&&n.d)for(e=n,s=n.d;s;)iFt(s.i,s.k,!1,!0),L9(e.a),L9(s.i),L9(s.k),L9(s.b),TJ(s.c,e.c.d),TJ(e.c,null),SJ(e.a,null),SJ(s.i,null),SJ(s.k,null),SJ(s.b,null),(o=new y3(e.i,s.a,e.e,s.j,s.f)).k=e.k,o.n=e.n,o.b=e.b,o.c=s.c,o.g=e.g,o.d=s.d,hct(e.i,Fhe,o),hct(s.a,Fhe,o),s=s.d,e=o}function lqt(t,e){var n,i,r,a,o;if(o=zz(e,136),TDt(t),TDt(o),null!=o.b){if(t.c=!0,null==t.b)return t.b=P7(LNe,hXt,25,o.b.length,15,1),void sqt(o.b,0,t.b,0,o.b.length);for(a=P7(LNe,hXt,25,t.b.length+o.b.length,15,1),n=0,i=0,r=0;n<t.b.length||i<o.b.length;)n>=t.b.length?(a[r++]=o.b[i++],a[r++]=o.b[i++]):i>=o.b.length?(a[r++]=t.b[n++],a[r++]=t.b[n++]):o.b[i]<t.b[n]||o.b[i]===t.b[n]&&o.b[i+1]<t.b[n+1]?(a[r++]=o.b[i++],a[r++]=o.b[i++]):(a[r++]=t.b[n++],a[r++]=t.b[n++]);t.b=a}}function hqt(t,e){var n,i,r,a,o,s,c,u,l,h;return n=Hv(EB(vTt(t,(hKt(),ufe)))),s=Hv(EB(vTt(e,ufe))),i=zz(vTt(t,lfe),11),c=zz(vTt(e,lfe),11),r=zz(vTt(t,hfe),11),u=zz(vTt(e,hfe),11),l=!!i&&i==c,h=!!r&&r==u,n||s?(a=(!Hv(EB(vTt(t,ufe)))||Hv(EB(vTt(t,cfe))))&&(!Hv(EB(vTt(e,ufe)))||Hv(EB(vTt(e,cfe)))),o=!(Hv(EB(vTt(t,ufe)))&&Hv(EB(vTt(t,cfe)))||Hv(EB(vTt(e,ufe)))&&Hv(EB(vTt(e,cfe)))),new F$(l&&a||h&&o,l,h)):new F$(zz(t0(new Kd(t.j)),11).p==zz(t0(new Kd(e.j)),11).p,l,h)}function fqt(t){var e,i,r,a,o,s,c,u;for(r=0,i=0,u=new VE,e=0,c=new Kd(t.n);c.a<c.c.c.length;)0==(s=zz(t0(c),211)).c.c.length?r5(u,s,u.c.b,u.c):(r=n.Math.max(r,s.d),i+=s.a+(e>0?t.i:0)),++e;for(egt(t.n,u),t.d=i,t.r=r,t.g=0,t.f=0,t.e=0,t.o=RXt,t.p=RXt,o=new Kd(t.b);o.a<o.c.c.length;)a=zz(t0(o),33),t.p=n.Math.min(t.p,a.g),t.g=n.Math.max(t.g,a.g),t.f=n.Math.max(t.f,a.f),t.o=n.Math.min(t.o,a.f),t.e+=a.f+t.i;t.a=t.e/t.b.c.length-t.i*((t.b.c.length-1)/t.b.c.length),xvt(t.j)}function dqt(t){var e,n,i,r;return 0!=(64&t.Db)?Qft(t):(e=new fN(X5t),(i=t.k)?cI(cI((e.a+=' "',e),i),'"'):(!t.n&&(t.n=new nY(UIe,t,1,7)),t.n.i>0&&(!(r=(!t.n&&(t.n=new nY(UIe,t,1,7)),zz(Wet(t.n,0),137)).a)||cI(cI((e.a+=' "',e),r),'"'))),!t.b&&(t.b=new lR(RIe,t,4,7)),n=!(t.b.i<=1&&(!t.c&&(t.c=new lR(RIe,t,5,8)),t.c.i<=1)),e.a+=n?" [":" ",cI(e,QO(new mx,new LO(t.b))),n&&(e.a+="]"),e.a+=i1t,n&&(e.a+="["),cI(e,QO(new mx,new LO(t.c))),n&&(e.a+="]"),e.a)}function gqt(t,e){var n,i,r,a,o,s,c;if(t.a){if(c=null,null!=(s=t.a.ne())?e.a+=""+s:null!=(o=t.a.Dj())&&(-1!=(a=ZI(o,QEt(91)))?(c=o.substr(a),e.a+=""+hP(null==o?YKt:(xK(o),o),0,a)):e.a+=""+o),t.d&&0!=t.d.i){for(r=!0,e.a+="<",i=new LO(t.d);i.e!=i.i.gc();)n=zz(kwt(i),87),r?r=!1:e.a+=zKt,gqt(n,e);e.a+=">"}null!=c&&(e.a+=""+c)}else t.e?null!=(s=t.e.zb)&&(e.a+=""+s):(e.a+="?",t.b?(e.a+=" super ",gqt(t.b,e)):t.f&&(e.a+=" extends ",gqt(t.f,e)))}function pqt(t,e){var n,i,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x,k,_,E,T;for(v=t.c,x=e.c,n=_9(v.a,t,0),i=_9(x.a,e,0),y=zz(Bgt(t,(sit(),qye)).Kc().Pb(),11),E=zz(Bgt(t,Hye).Kc().Pb(),11),m=zz(Bgt(e,qye).Kc().Pb(),11),T=zz(Bgt(e,Hye).Kc().Pb(),11),b=J0(y.e),k=J0(E.g),w=J0(m.e),_=J0(T.g),Vvt(t,i,x),u=0,d=(a=w).length;u<d;++u)TJ(a[u],y);for(l=0,g=(o=_).length;l<g;++l)CJ(o[l],E);for(Vvt(e,n,v),h=0,p=(s=b).length;h<p;++h)TJ(s[h],m);for(c=0,f=(r=k).length;c<f;++c)CJ(r[c],T)}function bqt(t,e,n,i){var r,a,o,s,c,u;if(a=Wft(i),!Hv(EB(vTt(i,(HGt(),Mbe))))&&!Hv(EB(vTt(t,dbe)))||yL(zz(vTt(t,nwe),98)))switch(AJ(s=new MCt,t),e?((u=s.n).a=e.a-t.n.a,u.b=e.b-t.n.b,WCt(u,0,0,t.o.a,t.o.b),ZAt(s,Y$t(s,a))):(r=hgt(a),ZAt(s,n==(sit(),Hye)?r:Tft(r))),o=zz(vTt(i,(hKt(),Jhe)),21),c=s.j,a.g){case 2:case 1:(c==(kYt(),uMe)||c==CMe)&&o.Fc((gBt(),bhe));break;case 4:case 3:(c==(kYt(),cMe)||c==AMe)&&o.Fc((gBt(),bhe))}else r=hgt(a),s=R$t(t,n,n==(sit(),Hye)?r:Tft(r));return s}function wqt(t,e,i){var r,a,o,s,c,u,l;return n.Math.abs(e.s-e.c)<dJt||n.Math.abs(i.s-i.c)<dJt?0:(r=WNt(t,e.j,i.e),a=WNt(t,i.j,e.e),o=0,-1==r||-1==a?(-1==r&&(new UJ((I6(),Eve),i,e,1),++o),-1==a&&(new UJ((I6(),Eve),e,i,1),++o)):(s=Tht(e.j,i.s,i.c),s+=Tht(i.e,e.s,e.c),c=Tht(i.j,e.s,e.c),(u=r+16*s)<(l=a+16*(c+=Tht(e.e,i.s,i.c)))?new UJ((I6(),Tve),e,i,l-u):u>l?new UJ((I6(),Tve),i,e,u-l):u>0&&l>0&&(new UJ((I6(),Tve),e,i,0),new UJ(Tve,i,e,0))),o)}function yqt(t,e){var i,r,a,o,s;for(s=new cut(new Sd(t.f.b).a);s.b;){if(a=zz((o=nnt(s)).cd(),594),1==e){if(a.gf()!=(zht(),qSe)&&a.gf()!=RSe)continue}else if(a.gf()!=(zht(),$Se)&&a.gf()!=jSe)continue;switch(r=zz(zz(o.dd(),46).b,81),i=zz(zz(o.dd(),46).a,189).c,a.gf().g){case 2:r.g.c=t.e.a,r.g.b=n.Math.max(1,r.g.b+i);break;case 1:r.g.c=r.g.c+i,r.g.b=n.Math.max(1,r.g.b-i);break;case 4:r.g.d=t.e.b,r.g.a=n.Math.max(1,r.g.a+i);break;case 3:r.g.d=r.g.d+i,r.g.a=n.Math.max(1,r.g.a-i)}}}function mqt(t,e){var i,r,a,o,s,c,u,l,h,f,d,g,p,b;for(c=P7(LNe,hXt,25,e.b.c.length,15,1),l=P7(Dse,OWt,267,e.b.c.length,0,1),u=P7(Ise,s1t,10,e.b.c.length,0,1),d=0,g=(f=t.a).length;d<g;++d){for(b=0,s=new Kd((h=f[d]).e);s.a<s.c.c.length;)++c[r=eL((a=zz(t0(s),10)).c)],p=Zv(TB(vTt(e,(HGt(),vwe)))),c[r]>0&&u[r]&&(p=RD(t.b,u[r],a)),b=n.Math.max(b,a.c.c.b+p);for(o=new Kd(h.e);o.a<o.c.c.length;)(a=zz(t0(o),10)).n.b=b+a.d.d,(i=a.c).c.b=b+a.d.d+a.o.b+a.d.a,l[_9(i.b.b,i,0)]=a.k,u[_9(i.b.b,i,0)]=a}}function vqt(t,e){var n,i,r,a,o,s,c,u,h,f,d;for(i=new cU(JO(bOt(e).a.Kc(),new l));bLt(i);)aO(Wet((!(n=zz(Y5(i),79)).b&&(n.b=new lR(RIe,n,4,7)),n.b),0),186)||(c=AEt(zz(Wet((!n.c&&(n.c=new lR(RIe,n,5,8)),n.c),0),82)),eLt(n)||(o=e.i+e.g/2,s=e.j+e.f/2,h=c.i+c.g/2,f=c.j+c.f/2,(d=new Zk).a=h-o,d.b=f-s,Gxt(a=new PA(d.a,d.b),e.g,e.f),d.a-=a.a,d.b-=a.b,o=h-d.a,s=f-d.b,Gxt(u=new PA(d.a,d.b),c.g,c.f),d.a-=u.a,d.b-=u.b,h=o+d.a,f=s+d.b,Int(r=oBt(n,!0,!0),o),Dnt(r,s),Tnt(r,h),Lnt(r,f),vqt(t,c)))}function xqt(t){NT(t,new CEt(yk(gk(wk(bk(new bs,R4t),"ELK SPOrE Compaction"),"ShrinkTree is a compaction algorithm that maintains the topology of a layout. The relocation of diagram elements is based on contracting a spanning tree."),new ns))),s2(t,R4t,$4t,vwt(xEe)),s2(t,R4t,j4t,vwt(yEe)),s2(t,R4t,z4t,vwt(wEe)),s2(t,R4t,q4t,vwt(pEe)),s2(t,R4t,H4t,vwt(bEe)),s2(t,R4t,VQt,gEe),s2(t,R4t,mJt,8),s2(t,R4t,Z4t,vwt(vEe)),s2(t,R4t,U4t,vwt(lEe)),s2(t,R4t,Y4t,vwt(hEe)),s2(t,R4t,K2t,(lN(),!1))}function kqt(t,e){var i,r,a,o,s,c,u,l,h,f;for(LEt(e,"Simple node placement",1),f=zz(vTt(t,(hKt(),Lfe)),304),c=0,o=new Kd(t.b);o.a<o.c.c.length;){for((s=(r=zz(t0(o),29)).c).b=0,i=null,l=new Kd(r.a);l.a<l.c.c.length;)u=zz(t0(l),10),i&&(s.b+=Ipt(u,i,f.c)),s.b+=u.d.d+u.o.b+u.d.a,i=u;c=n.Math.max(c,s.b)}for(a=new Kd(t.b);a.a<a.c.c.length;)for(h=(c-(s=(r=zz(t0(a),29)).c).b)/2,i=null,l=new Kd(r.a);l.a<l.c.c.length;)u=zz(t0(l),10),i&&(h+=Ipt(u,i,f.c)),h+=u.d.d,u.n.b=h,h+=u.o.b+u.d.a,i=u;HCt(e)}function _qt(t,e,n,i){var r,a,o,s,c,u,l,h;if(0==i.gc())return!1;if(JT(),o=(c=zz(e,66).Oj())?i:new wet(i.gc()),OPt(t.e,e)){if(e.hi())for(l=i.Kc();l.Ob();)Gjt(t,e,u=l.Pb(),aO(e,99)&&0!=(zz(e,18).Bb&qXt))||(a=J3(e,u),o.Fc(a));else if(!c)for(l=i.Kc();l.Ob();)a=J3(e,u=l.Pb()),o.Fc(a)}else{for(h=sPt(t.e.Tg(),e),r=zz(t.g,119),s=0;s<t.i;++s)if(a=r[s],h.rl(a.ak()))throw qw(new $v(I9t));if(i.gc()>1)throw qw(new $v(I9t));c||(a=J3(e,i.Kc().Pb()),o.Fc(a))}return uct(t,ESt(t,e,n),o)}function Eqt(t,e){var n,i,r,a;for(Vet(e.b.j),QE(DW(new FH(null,new g1(e.d,16)),new aa),new oa),a=new Kd(e.d);a.a<a.c.c.length;){switch((r=zz(t0(a),101)).e.g){case 0:n=zz(PH(r.j,0),113).d.j,Zf(r,zz(DN(IU(zz(l6(r.k,n),15).Oc(),Xue)),113)),Hf(r,zz(DN(MU(zz(l6(r.k,n),15).Oc(),Xue)),113));break;case 1:i=Hvt(r),Zf(r,zz(DN(IU(zz(l6(r.k,i[0]),15).Oc(),Xue)),113)),Hf(r,zz(DN(MU(zz(l6(r.k,i[1]),15).Oc(),Xue)),113));break;case 2:XSt(t,r);break;case 3:$Nt(r);break;case 4:UNt(t,r)}Xet(r)}t.a=null}function Tqt(t,e,n){var i,r,a,o,s,c,u,l;return i=t.a.o==(cJ(),ave)?RXt:$Xt,!(s=ojt(t,new oA(e,n))).a&&s.c?(Bq(t.d,s),i):s.a?(r=s.a.c,c=s.a.d,n?(u=t.a.c==(bQ(),eve)?c:r,a=t.a.c==eve?r:c,o=t.a.g[a.i.p],l=Zv(t.a.p[o.p])+Zv(t.a.d[a.i.p])+a.n.b+a.a.b-Zv(t.a.d[u.i.p])-u.n.b-u.a.b):(u=t.a.c==(bQ(),tve)?c:r,a=t.a.c==tve?r:c,l=Zv(t.a.p[t.a.g[a.i.p].p])+Zv(t.a.d[a.i.p])+a.n.b+a.a.b-Zv(t.a.d[u.i.p])-u.n.b-u.a.b),t.a.n[t.a.g[r.i.p].p]=(lN(),!0),t.a.n[t.a.g[c.i.p].p]=!0,l):i}function Cqt(t,e,n){var i,r,a,o,s,c,u;if(OPt(t.e,e))JT(),DIt((s=zz(e,66).Oj()?new fH(e,t):new PM(e,t)).c,s.b),JD(s,zz(n,14));else{for(u=sPt(t.e.Tg(),e),i=zz(t.g,119),a=0;a<t.i;++a)if(r=i[a].ak(),u.rl(r)){if(r==(TIt(),fOe)||r==uOe){for(o=a,(c=Lyt(t,e,n))?fBt(t,a):++a;a<t.i;)(r=i[a].ak())==fOe||r==uOe?fBt(t,a):++a;c||zz(uyt(t,o,J3(e,n)),72)}else Lyt(t,e,n)?fBt(t,a):zz(uyt(t,a,(JT(),zz(e,66).Oj()?zz(n,72):J3(e,n))),72);return}Lyt(t,e,n)||h8(t,(JT(),zz(e,66).Oj()?zz(n,72):J3(e,n)))}}function Sqt(t,e,n){var i,r,a,o,s,c,u,l;return Pht(n,t.b)||(t.b=n,a=new Vt,o=zz(S4(DW(new FH(null,new g1(n.f,16)),a),P9(new X,new V,new rt,new at,Ast(Zx(tie,1),OWt,132,0,[(Zut(),Gne),Yne]))),21),t.e=!0,t.f=!0,t.c=!0,t.d=!0,r=o.Hc((Hwt(),zre)),i=o.Hc(qre),r&&!i&&(t.f=!1),!r&&i&&(t.d=!1),r=o.Hc(jre),i=o.Hc(Hre),r&&!i&&(t.c=!1),!r&&i&&(t.e=!1)),l=zz(t.a.Ce(e,n),46),c=zz(l.a,19).a,u=zz(l.b,19).a,s=!1,c<0?t.c||(s=!0):t.e||(s=!0),u<0?t.d||(s=!0):t.f||(s=!0),s?Sqt(t,l,n):l}function Aqt(t){var e,i,r,a;a=t.o,HB(),t.A.dc()||Pht(t.A,Dre)?e=a.b:(e=CMt(t.f),t.A.Hc((vpt(),FMe))&&!t.B.Hc((e$t(),GMe))&&(e=n.Math.max(e,CMt(zz(cW(t.p,(kYt(),cMe)),244))),e=n.Math.max(e,CMt(zz(cW(t.p,AMe),244)))),(i=uot(t))&&(e=n.Math.max(e,i.b)),t.A.Hc(RMe)&&(t.q!=(V_t(),KAe)&&t.q!=GAe||(e=n.Math.max(e,Gq(zz(cW(t.b,(kYt(),cMe)),124))),e=n.Math.max(e,Gq(zz(cW(t.b,AMe),124)))))),Hv(EB(t.e.yf().We((lKt(),jCe))))?a.b=n.Math.max(a.b,e):a.b=e,(r=t.f.i).d=0,r.a=e,Ujt(t.f)}function Mqt(t,e){var n,i,r,a,o,s,c,u,l,h,f,d;for(l=0;l<e.length;l++){for(o=t.Kc();o.Ob();)zz(o.Pb(),225).Of(l,e);for(h=0;h<e[l].length;h++){for(s=t.Kc();s.Ob();)zz(s.Pb(),225).Pf(l,h,e);for(d=e[l][h].j,f=0;f<d.c.length;f++){for(c=t.Kc();c.Ob();)zz(c.Pb(),225).Qf(l,h,f,e);for(f1(f,d.c.length),n=0,r=new m6(zz(d.c[f],11).b);vD(r.a)||vD(r.b);)for(i=zz(vD(r.a)?t0(r.a):t0(r.b),17),u=t.Kc();u.Ob();)zz(u.Pb(),225).Nf(l,h,f,n++,i,e)}}}for(a=t.Kc();a.Ob();)zz(a.Pb(),225).Mf()}function Iqt(t,e){var n,i,r,a,o;for(t.b=Zv(TB(vTt(e,(HGt(),xwe)))),t.c=Zv(TB(vTt(e,Ewe))),t.d=zz(vTt(e,rbe),336),t.a=zz(vTt(e,Spe),275),fmt(e),r=(a=zz(S4(LW(LW(gtt(gtt(new FH(null,new g1(e.b,16)),new vn),new xn),new kn),new _n),m8(new q,new z,new it,Ast(Zx(tie,1),OWt,132,0,[(Zut(),Yne)]))),15)).Kc();r.Ob();)n=zz(r.Pb(),17),zz(vTt(n,(hKt(),Nfe)),15).Jc(new np(t)),hct(n,Nfe,null);for(i=a.Kc();i.Ob();)n=zz(i.Pb(),17),o=zz(vTt(n,(hKt(),Pfe)),17),zGt(t,zz(vTt(n,Dfe),15),o),hct(n,Dfe,null)}function Lqt(t){t.b=null,t.a=null,t.o=null,t.q=null,t.v=null,t.w=null,t.B=null,t.p=null,t.Q=null,t.R=null,t.S=null,t.T=null,t.U=null,t.V=null,t.W=null,t.bb=null,t.eb=null,t.ab=null,t.H=null,t.db=null,t.c=null,t.d=null,t.f=null,t.n=null,t.r=null,t.s=null,t.u=null,t.G=null,t.J=null,t.e=null,t.j=null,t.i=null,t.g=null,t.k=null,t.t=null,t.F=null,t.I=null,t.L=null,t.M=null,t.O=null,t.P=null,t.$=null,t.N=null,t.Z=null,t.cb=null,t.K=null,t.D=null,t.A=null,t.C=null,t._=null,t.fb=null,t.X=null,t.Y=null,t.gb=!1,t.hb=!1}function Dqt(t){var e,n,i,r,a;if(t.k!=(cCt(),Ase))return!1;if(t.j.c.length<=1)return!1;if(zz(vTt(t,(HGt(),nwe)),98)==(V_t(),GAe))return!1;if(gyt(),(i=(t.q?t.q:(CX(),CX(),hne))._b(Fbe)?zz(vTt(t,Fbe),197):zz(vTt(yK(t),Rbe),197))==fye)return!1;if(i!=hye&&i!=lye){if(r=Zv(TB(ipt(t,Nwe))),!(e=zz(vTt(t,Owe),142))&&(e=new qF(r,r,r,r)),a=sdt(t,(kYt(),AMe)),e.d+e.a+(a.gc()-1)*r>t.o.b)return!1;if(n=sdt(t,cMe),e.d+e.a+(n.gc()-1)*r>t.o.b)return!1}return!0}function Oqt(t,e){var n,i,r,a,o,s,c,u,l,h,f,d,g;if(o=t.e,c=e.e,0==o)return e;if(0==c)return t;if((a=t.d)+(s=e.d)==2)return n=n0(t.a[0],GXt),i=n0(e.a[0],GXt),o==c?(g=pZ(l=adt(n,i)),0==(d=pZ(kU(l,32)))?new G6(o,g):new fY(o,2,Ast(Zx(LNe,1),hXt,25,15,[g,d]))):ewt(o<0?rdt(i,n):rdt(n,i));if(o==c)f=o,h=a>=s?N7(t.a,a,e.a,s):N7(e.a,s,t.a,a);else{if(0==(r=a!=s?a>s?1:-1:Cut(t.a,e.a,a)))return LBt(),ine;1==r?(f=o,h=p6(t.a,a,e.a,s)):(f=c,h=p6(e.a,s,t.a,a))}return G0(u=new fY(f,h.length,h)),u}function Nqt(t,e,i,r,a,o,s){var c,u,l,h,f,d,g;return f=Hv(EB(vTt(e,(HGt(),Ibe)))),d=null,o==(sit(),qye)&&r.c.i==i?d=r.c:o==Hye&&r.d.i==i&&(d=r.d),(l=s)&&f&&!d?(Kz(l.e,r),g=n.Math.max(Zv(TB(vTt(l.d,obe))),Zv(TB(vTt(r,obe)))),hct(l.d,obe,g)):(kYt(),h=SMe,d?h=d.j:yL(zz(vTt(i,nwe),98))&&(h=o==qye?AMe:cMe),u=Bqt(t,e,i,o,h,r),c=K5((yK(i),r)),o==qye?(CJ(c,zz(PH(u.j,0),11)),TJ(c,a)):(CJ(c,a),TJ(c,zz(PH(u.j,0),11))),l=new Yht(r,c,u,zz(vTt(u,(hKt(),pfe)),11),o,!d)),JMt(t.a,r,new O$(l.d,e,o)),l}function Pqt(t,e){var 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Fqt(t,e){var n,i,r,a,o,s,c,u,l,h,f,d,g,p;LEt(e,"Orthogonal edge routing",1),u=Zv(TB(vTt(t,(HGt(),Lwe)))),n=Zv(TB(vTt(t,xwe))),i=Zv(TB(vTt(t,Ewe))),f=new hG(0,n),p=0,o=new T2(t.b,0),s=null,l=null,c=null,h=null;do{h=(l=o.b<o.d.gc()?(SP(o.b<o.d.gc()),zz(o.d.Xb(o.c=o.b++),29)):null)?l.a:null,s&&(THt(s,p),p+=s.c.a),g=DZt(f,t,c,h,s?p+i:p),r=!s||WM(c,(bPt(),kve)),a=!l||WM(h,(bPt(),kve)),g>0?(d=(g-1)*n,s&&(d+=i),l&&(d+=i),d<u&&!r&&!a&&(d=u),p+=d):!r&&!a&&(p+=u),s=l,c=h}while(l);t.f.a=p,HCt(e)}function Rqt(){var t;Rqt=I,_Le=new Cm,xLe=P7(Vee,lWt,2,0,6,1),CLe=i0(qst(33,58),qst(1,26)),SLe=i0(qst(97,122),qst(65,90)),ALe=qst(48,57),ELe=i0(CLe,0),TLe=i0(SLe,ALe),MLe=i0(i0(0,qst(1,6)),qst(33,38)),ILe=i0(i0(ALe,qst(65,70)),qst(97,102)),PLe=i0(ELe,bwt("-_.!~*'()")),BLe=i0(TLe,Kgt("-_.!~*'()")),bwt(c8t),Kgt(c8t),i0(PLe,bwt(";:@&=+$,")),i0(BLe,Kgt(";:@&=+$,")),LLe=bwt(":/?#"),DLe=Kgt(":/?#"),OLe=bwt("/?#"),NLe=Kgt("/?#"),(t=new Fy).a.zc("jar",t),t.a.zc("zip",t),t.a.zc("archive",t),CX(),kLe=new Lx(t)}function $qt(t,e){var n,i,r,a,o;if(hct(e,(ZHt(),cxe),0),r=zz(vTt(e,oxe),86),0==e.d.b)r?(o=Zv(TB(vTt(r,hxe)))+t.a+_5(r,e),hct(e,hxe,o)):hct(e,hxe,0);else{for(n=new gb(lwt(new db(e).a.d,0));__(n.a);)$qt(t,zz(d3(n.a),188).c);i=zz(iO(new gb(lwt(new db(e).a.d,0))),86),a=(Zv(TB(vTt(zz(EN(new gb(lwt(new db(e).a.d,0))),86),hxe)))+Zv(TB(vTt(i,hxe))))/2,r?(o=Zv(TB(vTt(r,hxe)))+t.a+_5(r,e),hct(e,hxe,o),hct(e,cxe,Zv(TB(vTt(e,hxe)))-a),IZt(t,e)):hct(e,hxe,a)}}function jqt(t,e){var n,i,r,a,o,s,c,u,l,h,f,d;s=0,d=0,c=EQ(t.f,t.f.length),a=t.d,o=t.i,i=t.a,r=t.b;do{for(f=0,u=new Kd(t.p);u.a<u.c.c.length;)h=LZt(t,zz(t0(u),10)),n=!0,(t.q==(lNt(),Eye)||t.q==Sye)&&(n=Hv(EB(h.b))),zz(h.a,19).a<0&&n?(++f,c=EQ(t.f,t.f.length),t.d=t.d+zz(h.a,19).a,d+=a-t.d,a=t.d+zz(h.a,19).a,o=t.i,i=o0(t.a),r=o0(t.b)):(t.f=EQ(c,c.length),t.d=a,t.a=(vG(i),i?new e$(i):qz(new Kd(i))),t.b=(vG(r),r?new e$(r):qz(new Kd(r))),t.i=o);++s,l=0!=f&&Hv(EB(e.Kb(new rM(rft(d),rft(s)))))}while(l)}function zqt(t,e,i,r){var a,o,s,c,u,l,h,f,d,g,p,b,w,y,m;return o=t.f,f=e.f,s=o==(QOt(),P_e)||o==F_e,c=o==B_e||o==R_e,d=f==B_e||f==R_e,u=o==B_e||o==P_e,g=f==B_e||f==P_e,!s||f!=P_e&&f!=F_e?c&&d?t.f==R_e?t:e:u&&g?(o==B_e?(h=t,l=e):(h=e,l=t),p=i.j+i.f,b=h.e+r.f,w=n.Math.max(p,b)-n.Math.min(i.j,h.e),a=(h.d+r.g-i.i)*w,y=i.i+i.g,m=l.d+r.g,a<=(n.Math.max(y,m)-n.Math.min(i.i,l.d))*(l.e+r.f-i.j)?t.f==B_e?t:e:t.f==P_e?t:e):t:t.f==F_e?t:e}function qqt(t){var e,n,i,r,a,o,s,c,u,l;for(u=t.e.a.c.length,a=new Kd(t.e.a);a.a<a.c.c.length;)zz(t0(a),121).j=!1;for(t.i=P7(LNe,hXt,25,u,15,1),t.g=P7(LNe,hXt,25,u,15,1),t.n=new Nw,r=0,l=new Nw,s=new Kd(t.e.a);s.a<s.c.c.length;)(o=zz(t0(s),121)).d=r++,0==o.b.a.c.length&&Kz(t.n,o),wst(l,o.g);for(e=0,i=new Kd(l);i.a<i.c.c.length;)(n=zz(t0(i),213)).c=e++,n.f=!1;c=l.c.length,null==t.b||t.b.length<c?(t.b=P7(PNe,ZXt,25,c,15,1),t.c=P7(DNe,tQt,25,c,16,1)):tx(t.c),t.d=l,t.p=new ON(net(t.d.c.length)),t.j=1}function Hqt(t,e){var n,i,r,a,o,s,c,u,l;if(!(e.e.c.length<=1)){for(t.f=e,t.d=zz(vTt(t.f,(axt(),yoe)),379),t.g=zz(vTt(t.f,koe),19).a,t.e=Zv(TB(vTt(t.f,moe))),t.c=Zv(TB(vTt(t.f,woe))),aG(t.b),r=new Kd(t.f.c);r.a<r.c.c.length;)i=zz(t0(r),282),xRt(t.b,i.c,i,null),xRt(t.b,i.d,i,null);for(s=t.f.e.c.length,t.a=xH(PNe,[lWt,ZXt],[104,25],15,[s,s],2),u=new Kd(t.f.e);u.a<u.c.c.length;)Mzt(t,c=zz(t0(u),144),t.a[c.b]);for(t.i=xH(PNe,[lWt,ZXt],[104,25],15,[s,s],2),a=0;a<s;++a)for(o=0;o<s;++o)l=1/((n=t.a[a][o])*n),t.i[a][o]=l}}function Zqt(t){var e,n,i,r;if(!(null==t.b||t.b.length<=2||t.a)){for(e=0,r=0;r<t.b.length;){for(e!=r?(t.b[e]=t.b[r++],t.b[e+1]=t.b[r++]):r+=2,n=t.b[e+1];r<t.b.length&&!(n+1<t.b[r]);)if(n+1==t.b[r])t.b[e+1]=t.b[r+1],n=t.b[e+1],r+=2;else if(n>=t.b[r+1])r+=2;else{if(!(n<t.b[r+1]))throw qw(new pv("Token#compactRanges(): Internel Error: ["+t.b[e]+","+t.b[e+1]+"] 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e,n,i,r,a,o,s,c,u,l;if(t.ej())if(l=t.Vi(),c=t.fj(),l>0)if(e=new _at(t.Gi()),a=(n=l)<100?null:new jk(n),QB(t,n,e.g),r=1==n?t.Zi(4,Wet(e,0),null,0,c):t.Zi(6,e,null,-1,c),t.bj()){for(i=new LO(e);i.e!=i.i.gc();)a=t.dj(kwt(i),a);a?(a.Ei(r),a.Fi()):t.$i(r)}else a?(a.Ei(r),a.Fi()):t.$i(r);else QB(t,t.Vi(),t.Wi()),t.$i(t.Zi(6,(CX(),lne),null,-1,c));else if(t.bj())if((l=t.Vi())>0){for(s=t.Wi(),u=l,QB(t,l,s),a=u<100?null:new jk(u),i=0;i<u;++i)o=s[i],a=t.dj(o,a);a&&a.Fi()}else QB(t,t.Vi(),t.Wi());else QB(t,t.Vi(),t.Wi())}function vHt(t,e,n){var i,r,a,o,s,c,u,l,h,f,d;for(s=new Kd(e);s.a<s.c.c.length;)(a=zz(t0(s),233)).e=null,a.c=0;for(c=null,o=new Kd(e);o.a<o.c.c.length;)if(h=(a=zz(t0(o),233)).d[0],!n||h.k==(cCt(),Ase)){for(d=zz(vTt(h,(hKt(),afe)),15).Kc();d.Ob();)f=zz(d.Pb(),10),n&&f.k!=(cCt(),Ase)||((!a.e&&(a.e=new 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LO((!t.a&&(t.a=new nY(YIe,t,10,11)),t.a));f.e!=f.i.gc();)o=new UP(zz(kwt(f),33)),s.c[s.c.length]=o;switch(zz(tDt(t,FTe),311).g){case 3:g=sjt(s,e,h.a,h.b,(u=r,xK(a),u));break;case 1:g=mzt(s,e,h.a,h.b,(l=r,xK(a),l));break;default:g=CHt(s,e,h.a,h.b,(c=r,xK(a),c))}$Yt(t,(d=xGt(new Uet(g),e,i,h.a,h.b,r,(xK(a),a))).a,d.b,!1,!0)}function _Ht(t,e){var n,i,r,a;a=new e$((n=e.b).j),r=0,(i=n.j).c=P7(Dte,HKt,1,0,5,1),nG(zz(wot(t.b,(kYt(),uMe),(Mrt(),Fue)),15),n),r=Jmt(a,r,new Pr,i),nG(zz(wot(t.b,uMe,Bue),15),n),r=Jmt(a,r,new Nr,i),nG(zz(wot(t.b,uMe,Pue),15),n),nG(zz(wot(t.b,cMe,Fue),15),n),nG(zz(wot(t.b,cMe,Bue),15),n),r=Jmt(a,r,new Br,i),nG(zz(wot(t.b,cMe,Pue),15),n),nG(zz(wot(t.b,CMe,Fue),15),n),r=Jmt(a,r,new Fr,i),nG(zz(wot(t.b,CMe,Bue),15),n),r=Jmt(a,r,new Rr,i),nG(zz(wot(t.b,CMe,Pue),15),n),nG(zz(wot(t.b,AMe,Fue),15),n),r=Jmt(a,r,new Xr,i),nG(zz(wot(t.b,AMe,Bue),15),n),nG(zz(wot(t.b,AMe,Pue),15),n)}function EHt(t,e){var i,r,a,o,s,c,u,l,h,f,d,g,p,b;for(LEt(e,"Layer size 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Kd(s.j);d.a<d.c.c.length;)0==(f=zz(t0(d),11)).e.c.length||++i,0==f.g.c.length||++h;g=i+h==0?.5:h/(i+h)}b=t.c,l=s.o.a,w=(b.a-l)*g,g>.5?w-=2*o*(g-.5):g<.5&&(w+=2*a*(.5-g)),w<(r=s.d.b)&&(w=r),p=s.d.c,w>b.a-p-l&&(w=b.a-p-l),s.n.a=e+w}}function CHt(t,e,n,i,r){var a,o,s,c,u,l,h,f,d;for(s=P7(PNe,ZXt,25,t.c.length,15,1),rxt(f=new GU(new Gs),t),u=0,d=new Nw;0!=f.b.c.length;)if(o=zz(0==f.b.c.length?null:PH(f.b,0),157),u>1&&iZ(o)*nZ(o)/2>s[0]){for(a=0;a<d.c.length-1&&iZ(o)*nZ(o)/2>s[a];)++a;h=new Uet(new u1(d,0,a+1)),l=iZ(o)/nZ(o),c=xGt(h,e,new dm,n,i,r,l),YF(xI(h.e),c),j7(iTt(f,h)),rxt(f,new u1(d,a+1,d.c.length)),d.c=P7(Dte,HKt,1,0,5,1),u=0,kZ(s,s.length,0)}else null!=(0==f.b.c.length?null:PH(f.b,0))&&hrt(f,0),u>0&&(s[u]=s[u-1]),s[u]+=iZ(o)*nZ(o),++u,d.c[d.c.length]=o;return d}function SHt(t){var e,n,i;if((n=zz(vTt(t,(HGt(),xbe)),163))==(Tdt(),jfe)){for(e=new cU(JO(fdt(t).a.Kc(),new l));bLt(e);)if(!G5(zz(Y5(e),17)))throw qw(new rx(A1t+wvt(t)+"' has its layer constraint set to FIRST_SEPARATE, but 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n.e&&(this.e=Uz(n.e),this.e.Mc(e));this.f=e.f+n.f,this.a=e.a+n.a,this.a>0?Jet(this,this.f/this.a):null!=fO(e.g,e.d[0]).a&&null!=fO(n.g,n.d[0]).a?Jet(this,(Zv(fO(e.g,e.d[0]).a)+Zv(fO(n.g,n.d[0]).a))/2):null!=fO(e.g,e.d[0]).a?Jet(this,fO(e.g,e.d[0]).a):null!=fO(n.g,n.d[0]).a&&Jet(this,fO(n.g,n.d[0]).a)}function uZt(t,e){var n,i,r,a,o,s,c,u,l;for(t.a=new zG(Oat(KSe)),i=new Kd(e.a);i.a<i.c.c.length;){for(n=zz(t0(i),841),o=new Abt(Ast(Zx(Xoe,1),HKt,81,0,[])),Kz(t.a.a,o),c=new Kd(n.d);c.a<c.c.c.length;)zZt(u=new NN(t,s=zz(t0(c),110)),zz(vTt(n.c,(hKt(),Ghe)),21)),lY(t.g,n)||(WK(t.g,n,new PA(s.c,s.d)),WK(t.f,n,u)),Kz(t.a.b,u),b2(o,u);for(a=new Kd(n.b);a.a<a.c.c.length;)u=new NN(t,(r=zz(t0(a),594)).kf()),WK(t.b,r,new rM(o,u)),zZt(u,zz(vTt(n.c,(hKt(),Ghe)),21)),r.hf()&&(zZt(l=new Sbt(t,r.hf(),1),zz(vTt(n.c,Ghe),21)),b2(new Abt(Ast(Zx(Xoe,1),HKt,81,0,[])),l),JMt(t.c,r.gf(),new rM(o,l)))}return t.a}function lZt(t){var e;this.a=t,e=(cCt(),Ast(Zx(Dse,1),OWt,267,0,[Ase,Sse,Tse,Mse,Cse,Ese])).length,this.b=xH(fTe,[lWt,k3t],[593,146],0,[e,e],2),this.c=xH(fTe,[lWt,k3t],[593,146],0,[e,e],2),jV(this,Ase,(HGt(),Iwe),Lwe),nst(this,Ase,Sse,_we,Ewe),$V(this,Ase,Mse,_we),$V(this,Ase,Tse,_we),nst(this,Ase,Cse,Iwe,Lwe),jV(this,Sse,vwe,xwe),$V(this,Sse,Mse,vwe),$V(this,Sse,Tse,vwe),nst(this,Sse,Cse,_we,Ewe),JL(this,Mse,vwe),$V(this,Mse,Tse,vwe),$V(this,Mse,Cse,Swe),JL(this,Tse,Nwe),nst(this,Tse,Cse,Mwe,Awe),jV(this,Cse,vwe,vwe),jV(this,Ese,vwe,xwe),nst(this,Ese,Ase,_we,Ewe),nst(this,Ese,Cse,_we,Ewe),nst(this,Ese,Sse,_we,Ewe)}function hZt(t,e,n){var i,r,a,o,s,c,u,l,h,f,d,g,p,b;if(aO(o=n.ak(),99)&&0!=(zz(o,18).Bb&qXt)&&(f=zz(n.dd(),49),(p=nht(t.e,f))!=f)){if(kO(t,e,lEt(t,e,l=J3(o,p))),h=null,mL(t.e)&&(i=zHt((ISt(),JDe),t.e.Tg(),o))!=iet(t.e.Tg(),t.c)){for(b=sPt(t.e.Tg(),o),s=0,a=zz(t.g,119),c=0;c<e;++c)r=a[c],b.rl(r.ak())&&++s;(h=new d4(t.e,9,i,f,p,s,!1)).Ei(new N9(t.e,9,t.c,n,l,e,!1))}return(d=Myt(g=zz(o,18)))?(h=f.ih(t.e,Dgt(f.Tg(),d),null,h),h=zz(p,49).gh(t.e,Dgt(p.Tg(),d),null,h)):0!=(g.Bb&h6t)&&(u=-1-Dgt(t.e.Tg(),g),h=f.ih(t.e,u,null,null),!zz(p,49).eh()&&(h=zz(p,49).gh(t.e,u,null,h))),h&&h.Fi(),l}return n}function fZt(t){var e,i,r,a,o,s,c,u;for(o=new Kd(t.a.b);o.a<o.c.c.length;)(a=zz(t0(o),81)).b.c=a.g.c,a.b.d=a.g.d;for(u=new PA(RXt,RXt),e=new PA($Xt,$Xt),r=new Kd(t.a.b);r.a<r.c.c.length;)i=zz(t0(r),81),u.a=n.Math.min(u.a,i.g.c),u.b=n.Math.min(u.b,i.g.d),e.a=n.Math.max(e.a,i.g.c+i.g.b),e.b=n.Math.max(e.b,i.g.d+i.g.a);for(c=EG(t.c).a.nc();c.Ob();)s=zz(c.Pb(),46),i=zz(s.b,81),u.a=n.Math.min(u.a,i.g.c),u.b=n.Math.min(u.b,i.g.d),e.a=n.Math.max(e.a,i.g.c+i.g.b),e.b=n.Math.max(e.b,i.g.d+i.g.a);t.d=HP(new PA(u.a,u.b)),t.e=GF(new PA(e.a,e.b),u),t.a.a.c=P7(Dte,HKt,1,0,5,1),t.a.b.c=P7(Dte,HKt,1,0,5,1)}function dZt(t){var e,n,i;for(kut(fLe,Ast(Zx($ie,1),HKt,130,0,[new Oh])),n=new Ef(t),i=0;i<n.a.length;++i)mR(e=ptt(n,i).je().a,"layered")?kut(fLe,Ast(Zx($ie,1),HKt,130,0,[new uh])):mR(e,"force")?kut(fLe,Ast(Zx($ie,1),HKt,130,0,[new Ul])):mR(e,"stress")?kut(fLe,Ast(Zx($ie,1),HKt,130,0,[new Gl])):mR(e,"mrtree")?kut(fLe,Ast(Zx($ie,1),HKt,130,0,[new Ch])):mR(e,"radial")?kut(fLe,Ast(Zx($ie,1),HKt,130,0,[new mh])):mR(e,"disco")?kut(fLe,Ast(Zx($ie,1),HKt,130,0,[new Zl,new ql])):mR(e,"sporeOverlap")||mR(e,"sporeCompaction")?kut(fLe,Ast(Zx($ie,1),HKt,130,0,[new _h])):mR(e,"rectpacking")&&kut(fLe,Ast(Zx($ie,1),HKt,130,0,[new Mh]))}function gZt(t,e,n){var i,r,a,o,s,c,u,l,h,f,d,g,p,b,w;if(f=new gL(t.o),w=e.a/f.a,s=e.b/f.b,p=e.a-f.a,a=e.b-f.b,n)for(r=ZM(vTt(t,(HGt(),nwe)))===ZM((V_t(),GAe)),g=new Kd(t.j);g.a<g.c.c.length;)switch((d=zz(t0(g),11)).j.g){case 1:r||(d.n.a*=w);break;case 2:d.n.a+=p,r||(d.n.b*=s);break;case 3:r||(d.n.a*=w),d.n.b+=a;break;case 4:r||(d.n.b*=s)}for(u=new Kd(t.b);u.a<u.c.c.length;)l=(c=zz(t0(u),70)).n.a+c.o.a/2,h=c.n.b+c.o.b/2,(b=l/f.a)+(o=h/f.b)>=1&&(b-o>0&&h>=0?(c.n.a+=p,c.n.b+=a*o):b-o<0&&l>=0&&(c.n.a+=p*b,c.n.b+=a));t.o.a=e.a,t.o.b=e.b,hct(t,(HGt(),jbe),(vpt(),new VR(i=zz(Wk(VMe),9),zz(CF(i,i.length),9),0)))}function pZt(t,e,n,i,r,a){if(null!=e&&Kdt(e,LLe,DLe))throw qw(new $v("invalid scheme: "+e));if(!(t||null!=n&&-1==ZI(n,QEt(35))&&n.length>0&&(d1(0,n.length),47!=n.charCodeAt(0))))throw qw(new $v("invalid opaquePart: "+n));if(t&&(null==e||!PE(kLe,e.toLowerCase()))&&null!=n&&Kdt(n,OLe,NLe))throw qw(new $v(u8t+n));if(t&&null!=e&&PE(kLe,e.toLowerCase())&&!M_t(n))throw qw(new $v(u8t+n));if(!Gdt(i))throw qw(new $v("invalid device: "+i));if(!Rlt(r))throw qw(new $v(null==r?"invalid segments: null":"invalid segment: "+llt(r)));if(null!=a&&-1!=ZI(a,QEt(35)))throw qw(new $v("invalid query: "+a))}function bZt(t,e){var i,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y;for(LEt(e,"Calculate Graph Size",1),e.n&&t&&v0(e,c2(t),(qut(),sIe)),c=tJt,u=tJt,o=e4t,s=e4t,f=new LO((!t.a&&(t.a=new nY(YIe,t,10,11)),t.a));f.e!=f.i.gc();)p=(l=zz(kwt(f),33)).i,b=l.j,y=l.g,r=l.f,a=zz(tDt(l,(lKt(),DCe)),142),c=n.Math.min(c,p-a.b),u=n.Math.min(u,b-a.d),o=n.Math.max(o,p+y+a.c),s=n.Math.max(s,b+r+a.a);for(d=new PA(c-(g=zz(tDt(t,(lKt(),GCe)),116)).b,u-g.d),h=new LO((!t.a&&(t.a=new nY(YIe,t,10,11)),t.a));h.e!=h.i.gc();)Ant(l=zz(kwt(h),33),l.i-d.a),Mnt(l,l.j-d.b);w=o-c+(g.b+g.c),i=s-u+(g.d+g.a),Snt(t,w),Cnt(t,i),e.n&&t&&v0(e,c2(t),(qut(),sIe))}function wZt(t){var e,n,i,r,a,o,s,c,u,l;for(i=new Nw,o=new Kd(t.e.a);o.a<o.c.c.length;){for(l=0,(r=zz(t0(o),121)).k.c=P7(Dte,HKt,1,0,5,1),n=new Kd(kdt(r));n.a<n.c.c.length;)(e=zz(t0(n),213)).f&&(Kz(r.k,e),++l);1==l&&(i.c[i.c.length]=r)}for(a=new Kd(i);a.a<a.c.c.length;)for(r=zz(t0(a),121);1==r.k.c.length;){for(u=zz(t0(new Kd(r.k)),213),t.b[u.c]=u.g,s=u.d,c=u.e,n=new Kd(kdt(r));n.a<n.c.c.length;)Pht(e=zz(t0(n),213),u)||(e.f?s==e.d||c==e.e?t.b[u.c]-=t.b[e.c]-e.g:t.b[u.c]+=t.b[e.c]-e.g:r==s?e.d==r?t.b[u.c]+=e.g:t.b[u.c]-=e.g:e.d==r?t.b[u.c]-=e.g:t.b[u.c]+=e.g);v9(s.k,u),v9(c.k,u),r=s==r?u.e:u.d}}function yZt(t,e){var n,i,r,a,o,s,c,u,l,h,f;if(null==e||0==e.length)return null;if(!(a=zz(CQ(t.f,e),23))){for(r=new Rd(new Id(t.d).a.vc().Kc());r.a.Ob();)if(o=zz(r.a.Pb(),42),s=(n=zz(o.dd(),23)).f,f=e.length,mR(s.substr(s.length-f,f),e)&&(e.length==s.length||46==hW(s,s.length-e.length-1))){if(a)return null;a=n}if(!a)for(i=new Rd(new Id(t.d).a.vc().Kc());i.a.Ob();)if(o=zz(i.a.Pb(),42),null!=(h=(n=zz(o.dd(),23)).g))for(u=0,l=(c=h).length;u<l;++u)if(s=c[u],f=e.length,mR(s.substr(s.length-f,f),e)&&(e.length==s.length||46==hW(s,s.length-e.length-1))){if(a)return null;a=n}a&&mJ(t.f,e,a)}return a}function mZt(t,e){var n,i,r,a,o;for(n=new Mx,o=!1,a=0;a<e.length;a++)if(d1(a,e.length),32!=(i=e.charCodeAt(a)))o?39==i?a+1<e.length&&(d1(a+1,e.length),39==e.charCodeAt(a+1))?(n.a+=String.fromCharCode(i),++a):o=!1:n.a+=String.fromCharCode(i):ZI("GyMLdkHmsSEcDahKzZv",QEt(i))>0?(Awt(t,n,0),n.a+=String.fromCharCode(i),Awt(t,n,r=obt(e,a)),a+=r-1):39==i?a+1<e.length&&(d1(a+1,e.length),39==e.charCodeAt(a+1))?(n.a+="'",++a):o=!0:n.a+=String.fromCharCode(i);else for(Awt(t,n,0),n.a+=" ",Awt(t,n,0);a+1<e.length&&(d1(a+1,e.length),32==e.charCodeAt(a+1));)++a;Awt(t,n,0),yEt(t)}function vZt(t,e,i){var r,a,o,s,c,u,l,h,f,d,g,p,b,w;if(LEt(i,"Network simplex layering",1),t.b=e,w=4*zz(vTt(e,(HGt(),Pwe)),19).a,(b=t.b.a).c.length<1)HCt(i);else{for(p=null,a=lwt(o=IRt(t,b),0);a.b!=a.d.c;){for(r=zz(d3(a),15),c=w*AQ(n.Math.sqrt(r.gc())),WRt(Xx(Qx(Vx(z$(s=u$t(r)),c),p),!0),vat(i,1)),f=t.b.b,g=new Kd(s.a);g.a<g.c.c.length;){for(d=zz(t0(g),121);f.c.length<=d.e;)xZ(f,f.c.length,new qG(t.b));SJ(zz(d.f,10),zz(PH(f,d.e),29))}if(o.b>1)for(p=P7(LNe,hXt,25,t.b.b.c.length,15,1),h=0,l=new Kd(t.b.b);l.a<l.c.c.length;)u=zz(t0(l),29),p[h++]=u.a.c.length}b.c=P7(Dte,HKt,1,0,5,1),t.a=null,t.b=null,t.c=null,HCt(i)}}function xZt(t){var e,i,r,a,o,s,c;for(e=0,o=new Kd(t.b.a);o.a<o.c.c.length;)(r=zz(t0(o),189)).b=0,r.c=0;for(ECt(t,0),igt(t,t.g),kNt(t.c),Jv(t.c),zht(),i=$Se,FRt(nI(CUt(FRt(nI(CUt(FRt(CUt(t.c,i)),_ft(i)))),i))),CUt(t.c,$Se),qft(t,t.g),kTt(t,0),yqt(t,0),CDt(t,1),ECt(t,1),igt(t,t.d),kNt(t.c),s=new Kd(t.b.a);s.a<s.c.c.length;)r=zz(t0(s),189),e+=n.Math.abs(r.c);for(c=new Kd(t.b.a);c.a<c.c.c.length;)(r=zz(t0(c),189)).b=0,r.c=0;for(i=qSe,FRt(nI(CUt(FRt(nI(CUt(FRt(Jv(CUt(t.c,i))),_ft(i)))),i))),CUt(t.c,$Se),qft(t,t.d),kTt(t,1),yqt(t,1),CDt(t,0),Jv(t.c),a=new Kd(t.b.a);a.a<a.c.c.length;)r=zz(t0(a),189),e+=n.Math.abs(r.c);return e}function kZt(t,e){var n,i,r,a,o,s,c,u,l;if(null!=(u=e).b&&null!=t.b){for(TDt(t),Zqt(t),TDt(u),Zqt(u),n=P7(LNe,hXt,25,t.b.length+u.b.length,15,1),l=0,i=0,o=0;i<t.b.length&&o<u.b.length;)if(r=t.b[i],a=t.b[i+1],s=u.b[o],c=u.b[o+1],a<s)i+=2;else if(a>=s&&r<=c)s<=r&&a<=c?(n[l++]=r,n[l++]=a,i+=2):s<=r?(n[l++]=r,n[l++]=c,t.b[i]=c+1,o+=2):a<=c?(n[l++]=s,n[l++]=a,i+=2):(n[l++]=s,n[l++]=c,t.b[i]=c+1);else{if(!(c<r))throw qw(new pv("Token#intersectRanges(): Internal Error: ["+t.b[i]+","+t.b[i+1]+"] & ["+u.b[o]+","+u.b[o+1]+"]"));o+=2}for(;i<t.b.length;)n[l++]=t.b[i++],n[l++]=t.b[i++];t.b=P7(LNe,hXt,25,l,15,1),sqt(n,0,t.b,0,l)}}function _Zt(t){var e,i,r,a,o,s,c;for(e=new Nw,t.g=new Nw,t.d=new Nw,s=new cut(new Sd(t.f.b).a);s.b;)Kz(e,zz(zz((o=nnt(s)).dd(),46).b,81)),pL(zz(o.cd(),594).gf())?Kz(t.d,zz(o.dd(),46)):Kz(t.g,zz(o.dd(),46));for(igt(t,t.d),igt(t,t.g),t.c=new lIt(t.b),nk(t.c,(yT(),Zoe)),qft(t,t.d),qft(t,t.g),wst(e,t.c.a.b),t.e=new PA(RXt,RXt),t.a=new PA($Xt,$Xt),r=new Kd(e);r.a<r.c.c.length;)i=zz(t0(r),81),t.e.a=n.Math.min(t.e.a,i.g.c),t.e.b=n.Math.min(t.e.b,i.g.d),t.a.a=n.Math.max(t.a.a,i.g.c+i.g.b),t.a.b=n.Math.max(t.a.b,i.g.d+i.g.a);ek(t.c,new xe),c=0;do{a=xZt(t),++c}while((c<2||a>$Wt)&&c<10);ek(t.c,new ke),xZt(t),MY(t.c),fZt(t.f)}function EZt(t,e,n){var i,r,a,o,s,c,u,l,h,f;if(Hv(EB(vTt(n,(HGt(),gbe)))))for(r=new Kd(n.j);r.a<r.c.c.length;)for(s=0,c=(o=J0(zz(t0(r),11).g)).length;s<c;++s)(a=o[s]).d.i==n&&Hv(EB(vTt(a,pbe)))&&(l=a.c,(u=zz(FG(t.b,l),10))||(hct(u=gGt(l,(V_t(),XAe),l.j,-1,null,null,l.o,zz(vTt(e,Ype),103),e),(hKt(),pfe),l),WK(t.b,l,u),Kz(e.a,u)),f=a.d,(h=zz(FG(t.b,f),10))||(hct(h=gGt(f,(V_t(),XAe),f.j,1,null,null,f.o,zz(vTt(e,Ype),103),e),(hKt(),pfe),f),WK(t.b,f,h),Kz(e.a,h)),CJ(i=K5(a),zz(PH(u.j,0),11)),TJ(i,zz(PH(h.j,0),11)),JMt(t.a,a,new O$(i,e,(sit(),Hye))),zz(vTt(e,(hKt(),Jhe)),21).Fc((gBt(),fhe)))}function TZt(t,e,n){var i,r,a,o,s,c,u,l,h,f,d,g;for(LEt(n,"Label dummy 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n,i,r,a,o,s,c,u,h;for(s=!0,r=0,c=t.f[e.p],u=e.o.b+t.n,n=t.c[e.p][2],a5(t.a,c,rft(zz(PH(t.a,c),19).a-1+n)),a5(t.b,c,Zv(TB(PH(t.b,c)))-u+n*t.e),++c>=t.i?(++t.i,Kz(t.a,rft(1)),Kz(t.b,u)):(i=t.c[e.p][1],a5(t.a,c,rft(zz(PH(t.a,c),19).a+1-i)),a5(t.b,c,Zv(TB(PH(t.b,c)))+u-i*t.e)),(t.q==(lNt(),Eye)&&(zz(PH(t.a,c),19).a>t.j||zz(PH(t.a,c-1),19).a>t.j)||t.q==Sye&&(Zv(TB(PH(t.b,c)))>t.k||Zv(TB(PH(t.b,c-1)))>t.k))&&(s=!1),a=new cU(JO(fdt(e).a.Kc(),new l));bLt(a);)o=zz(Y5(a),17).c.i,t.f[o.p]==c&&(r+=zz((h=LZt(t,o)).a,19).a,s=s&&Hv(EB(h.b)));return t.f[e.p]=c,new rM(rft(r+=t.c[e.p][0]),(lN(),!!s))}function DZt(t,e,i,r,a){var o,s,c,u,l,h,f,d,g,p,b,w,y;for(f=new Pw,s=new Nw,aMt(t,i,t.d.fg(),s,f),aMt(t,r,t.d.gg(),s,f),t.b=.2*(b=qLt(gtt(new FH(null,new g1(s,16)),new So)),w=qLt(gtt(new FH(null,new g1(s,16)),new 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lZt(e),hct(e,(hKt(),Lfe),i),l2(t.a),AY(t.a,(xTt(),Foe),zz(vTt(e,Zpe),246)),AY(t.a,Roe,zz(vTt(e,Sbe),246)),AY(t.a,$oe,zz(vTt(e,Hpe),246)),AY(t.a,joe,zz(vTt(e,$be),246)),AY(t.a,zoe,Sot(zz(vTt(e,Jpe),218))),oL(t.a,NGt(e)),hct(e,Tfe,OHt(t.a,e))}function NZt(t,e,n){var i,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x;return f=t.c[e],d=t.c[n],!((g=zz(vTt(f,(hKt(),afe)),15))&&0!=g.gc()&&g.Hc(d)||(p=f.k!=(cCt(),Sse)&&d.k!=Sse,y=(b=zz(vTt(f,rfe),10))!=(w=zz(vTt(d,rfe),10)),m=!!b&&b!=f||!!w&&w!=d,v=umt(f,(kYt(),uMe)),x=umt(d,CMe),m|=umt(f,CMe)||umt(d,uMe),p&&(m&&y||v||x))||f.k==(cCt(),Mse)&&d.k==Ase||d.k==(cCt(),Mse)&&f.k==Ase)&&(l=t.c[e],a=t.c[n],r=fkt(t.e,l,a,(kYt(),AMe)),c=fkt(t.i,l,a,cMe),TNt(t.f,l,a),u=Put(t.b,l,a)+zz(r.a,19).a+zz(c.a,19).a+t.f.d,s=Put(t.b,a,l)+zz(r.b,19).a+zz(c.b,19).a+t.f.b,t.a&&(h=zz(vTt(l,pfe),11),o=zz(vTt(a,pfe),11),u+=zz((i=Zvt(t.g,h,o)).a,19).a,s+=zz(i.b,19).a),u>s)}function PZt(t,e){var i,r,a,o,s,c,u,l,h,f,d,g,p,b;for(i=zz(vTt(t,(HGt(),nwe)),98),s=t.f,o=t.d,c=s.a+o.b+o.c,u=0-o.d-t.c.b,h=s.b+o.d+o.a-t.c.b,l=new Nw,f=new Nw,a=new Kd(e);a.a<a.c.c.length;){switch(r=zz(t0(a),10),i.g){case 1:case 2:case 3:jNt(r);break;case 4:g=(d=zz(vTt(r,twe),8))?d.a:0,r.n.a=c*Zv(TB(vTt(r,(hKt(),Efe))))-g,Jot(r,!0,!1);break;case 5:b=(p=zz(vTt(r,twe),8))?p.a:0,r.n.a=Zv(TB(vTt(r,(hKt(),Efe))))-b,Jot(r,!0,!1),s.a=n.Math.max(s.a,r.n.a+r.o.a/2)}switch(zz(vTt(r,(hKt(),Xhe)),61).g){case 1:r.n.b=u,l.c[l.c.length]=r;break;case 3:r.n.b=h,f.c[f.c.length]=r}}switch(i.g){case 1:case 2:Rht(l,t),Rht(f,t);break;case 3:$ht(l,t),$ht(f,t)}}function BZt(t,e){var n,i,r,a,o,s,c,u,l,h;for(l=new Nw,h=new Ow,a=null,r=0,i=0;i<e.length;++i)switch(Rut(a,n=e[i])&&(r=Mpt(t,h,l,Rme,r)),OP(n,(hKt(),rfe))&&(a=zz(vTt(n,rfe),10)),n.k.g){case 0:for(c=HL(Rz(sdt(n,(kYt(),uMe)),new Pa));trt(c);)o=zz(S9(c),11),t.d[o.p]=r++,l.c[l.c.length]=o;for(r=Mpt(t,h,l,Rme,r),u=HL(Rz(sdt(n,CMe),new 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n,i,r,a,o,s,c,u,l,h,f,d;if(t.c=t.d,f=null==(d=EB(vTt(e,(HGt(),pwe))))||(xK(d),d),a=zz(vTt(e,(hKt(),Jhe)),21).Hc((gBt(),fhe)),n=!((r=zz(vTt(e,nwe),98))==(V_t(),YAe)||r==KAe||r==GAe),!f||!n&&a)h=new Qv(Ast(Zx(kse,1),JJt,37,0,[e]));else{for(l=new Kd(e.a);l.a<l.c.c.length;)zz(t0(l),10).p=0;for(h=new Nw,u=new Kd(e.a);u.a<u.c.c.length;)if(i=N$t(t,zz(t0(u),10),null)){for(Zot(c=new vit,e),hct(c,Ghe,zz(i.b,21)),xX(c.d,e.d),hct(c,qbe,null),s=zz(i.a,15).Kc();s.Ob();)o=zz(s.Pb(),10),Kz(c.a,o),o.a=c;h.Fc(c)}a&&(ZM(vTt(e,Ape))===ZM((qht(),fse))?t.c=t.b:t.c=t.a)}return ZM(vTt(e,Ape))!==ZM((qht(),gse))&&(CX(),h.ad(new Ne)),h}function $Zt(t){NT(t,new CEt(mk(pk(yk(gk(wk(bk(new bs,V3t),"ELK Mr. Tree"),"Tree-based algorithm provided by the Eclipse Layout Kernel. 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e,n,i,r,a,o,s;if(!t.A.dc()){if(t.A.Hc((vpt(),RMe))&&(zz(cW(t.b,(kYt(),uMe)),124).k=!0,zz(cW(t.b,CMe),124).k=!0,e=t.q!=(V_t(),KAe)&&t.q!=GAe,Nf(zz(cW(t.b,cMe),124),e),Nf(zz(cW(t.b,AMe),124),e),Nf(t.g,e),t.A.Hc($Me)&&(zz(cW(t.b,uMe),124).j=!0,zz(cW(t.b,CMe),124).j=!0,zz(cW(t.b,cMe),124).k=!0,zz(cW(t.b,AMe),124).k=!0,t.g.k=!0)),t.A.Hc(FMe))for(t.a.j=!0,t.a.k=!0,t.g.j=!0,t.g.k=!0,s=t.B.Hc((e$t(),GMe)),a=0,o=(r=nwt()).length;a<o;++a)i=r[a],(n=zz(cW(t.i,i),306))&&(sbt(i)?(n.j=!0,n.k=!0):(n.j=!s,n.k=!s));t.A.Hc(BMe)&&t.B.Hc((e$t(),YMe))&&(t.g.j=!0,t.g.j=!0,t.a.j||(t.a.j=!0,t.a.k=!0,t.a.e=!0))}}function VZt(t){var e,n,i,r,a,o,s,c,u,l,h,f,d,g,p;for(n=new Kd(t.e.b);n.a<n.c.c.length;)for(r=new Kd(zz(t0(n),29).a);r.a<r.c.c.length;)if(i=zz(t0(r),10),c=(h=t.i[i.p]).a.e,s=h.d.e,i.n.b=c,p=s-c-i.o.b,e=Dqt(i),gyt(),l=(i.q?i.q:(CX(),CX(),hne))._b((HGt(),Fbe))?zz(vTt(i,Fbe),197):zz(vTt(yK(i),Rbe),197),e&&(l==hye||l==lye)&&(i.o.b+=p),e&&(l==dye||l==hye||l==lye)){for(d=new 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Kd(t);f.a<f.c.c.length;){for(tP((h=zz(t0(f),10)).n),tP(h.o),W6(h.f),XFt(h),sFt(h),g=new Kd(h.j);g.a<g.c.c.length;){for(tP((d=zz(t0(g),11)).n),tP(d.a),tP(d.o),ZAt(d,smt(d.j)),(r=zz(vTt(d,(HGt(),iwe)),19))&&hct(d,iwe,rft(-r.a)),i=new Kd(d.g);i.a<i.c.c.length;){for(e=lwt((n=zz(t0(i),17)).a,0);e.b!=e.d.c;)tP(zz(d3(e),8));if(o=zz(vTt(n,ybe),74))for(a=lwt(o,0);a.b!=a.d.c;)tP(zz(d3(a),8));for(u=new Kd(n.b);u.a<u.c.c.length;)tP((s=zz(t0(u),70)).n),tP(s.o)}for(l=new Kd(d.f);l.a<l.c.c.length;)tP((s=zz(t0(l),70)).n),tP(s.o)}for(h.k==(cCt(),Tse)&&(hct(h,(hKt(),Xhe),smt(zz(vTt(h,Xhe),61))),pPt(h)),c=new Kd(h.b);c.a<c.c.c.length;)XFt(s=zz(t0(c),70)),tP(s.o),tP(s.n)}}function RUt(t,e){var n,i,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v;for(t.e=e,s=eIt(e),m=new Nw,i=new Kd(s);i.a<i.c.c.length;){for(n=zz(t0(i),15),v=new Nw,m.c[m.c.length]=v,c=new Fy,f=n.Kc();f.Ob();){for(a=JFt(t,h=zz(f.Pb(),33),!0,0,0),v.c[v.c.length]=a,new PA(d=h.i,g=h.j),!h.n&&(h.n=new nY(UIe,h,1,7)),l=new 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lR(jIe,i,9,10)),i.g).i&&(s=new SM(t,p=new Af),n5((!i.g&&(i.g=new lR(jIe,i,9,10)),i.g),s),ret(d,j6t,p))}function jUt(t){var e,i,r,a,o,s,c;for(HB(),r=t.f.n,s=_G(t.r).a.nc();s.Ob();){if(a=0,(o=zz(s.Pb(),111)).b.Xe((lKt(),oSe))&&(a=Zv(TB(o.b.We(oSe))))<0)switch(o.b.Hf().g){case 1:r.d=n.Math.max(r.d,-a);break;case 3:r.a=n.Math.max(r.a,-a);break;case 2:r.c=n.Math.max(r.c,-a);break;case 4:r.b=n.Math.max(r.b,-a)}if(qU(t.u))switch(e=mat(o.b,a),c=!zz(t.e.We(HCe),174).Hc((e$t(),qMe)),i=!1,o.b.Hf().g){case 1:i=e>r.d,r.d=n.Math.max(r.d,e),c&&i&&(r.d=n.Math.max(r.d,r.a),r.a=r.d+a);break;case 3:i=e>r.a,r.a=n.Math.max(r.a,e),c&&i&&(r.a=n.Math.max(r.a,r.d),r.d=r.a+a);break;case 2:i=e>r.c,r.c=n.Math.max(r.c,e),c&&i&&(r.c=n.Math.max(r.b,r.c),r.b=r.c+a);break;case 4:i=e>r.b,r.b=n.Math.max(r.b,e),c&&i&&(r.b=n.Math.max(r.b,r.c),r.c=r.b+a)}}}function zUt(t){var e,n,i,r,a,o,s,c,u,l,h;for(u=new Kd(t);u.a<u.c.c.length;){switch(c=zz(t0(u),10),a=null,(o=zz(vTt(c,(HGt(),xbe)),163)).g){case 1:case 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r,a,o,s,c,u,l,h,f,d,g,p,b,w,y;if(b=t.n,w=t.o,d=t.d,f=Zv(TB(ipt(t,(HGt(),wwe)))),e){for(h=f*(e.gc()-1),g=0,u=e.Kc();u.Ob();)h+=(s=zz(u.Pb(),10)).o.a,g=n.Math.max(g,s.o.b);for(y=b.a-(h-w.a)/2,o=b.b-d.d+g,a=r=w.a/(e.gc()+1),c=e.Kc();c.Ob();)(s=zz(c.Pb(),10)).n.a=y,s.n.b=o-s.o.b,y+=s.o.a+f,(l=FOt(s)).n.a=s.o.a/2-l.a.a,l.n.b=s.o.b,(p=zz(vTt(s,(hKt(),Rhe)),11)).e.c.length+p.g.c.length==1&&(p.n.a=a-p.a.a,p.n.b=0,AJ(p,t)),a+=r}if(i){for(h=f*(i.gc()-1),g=0,u=i.Kc();u.Ob();)h+=(s=zz(u.Pb(),10)).o.a,g=n.Math.max(g,s.o.b);for(y=b.a-(h-w.a)/2,o=b.b+w.b+d.a-g,a=r=w.a/(i.gc()+1),c=i.Kc();c.Ob();)(s=zz(c.Pb(),10)).n.a=y,s.n.b=o,y+=s.o.a+f,(l=FOt(s)).n.a=s.o.a/2-l.a.a,l.n.b=0,(p=zz(vTt(s,(hKt(),Rhe)),11)).e.c.length+p.g.c.length==1&&(p.n.a=a-p.a.a,p.n.b=w.b,AJ(p,t)),a+=r}}function XUt(t,e){var i,r,a,o,s,c;if(zz(vTt(e,(hKt(),Jhe)),21).Hc((gBt(),fhe))){for(c=new Kd(e.a);c.a<c.c.c.length;)(o=zz(t0(c),10)).k==(cCt(),Ase)&&(a=zz(vTt(o,(HGt(),Abe)),142),t.c=n.Math.min(t.c,o.n.a-a.b),t.a=n.Math.max(t.a,o.n.a+o.o.a+a.c),t.d=n.Math.min(t.d,o.n.b-a.d),t.b=n.Math.max(t.b,o.n.b+o.o.b+a.a));for(s=new Kd(e.a);s.a<s.c.c.length;)if((o=zz(t0(s),10)).k!=(cCt(),Ase))switch(o.k.g){case 2:if((r=zz(vTt(o,(HGt(),xbe)),163))==(Tdt(),jfe)){o.n.a=t.c-10,Qvt(o,new Zn).Jb(new rp(o));break}if(r==qfe){o.n.a=t.a+10,Qvt(o,new Un).Jb(new ap(o));break}if((i=zz(vTt(o,ife),303))==(U9(),Ahe)){dHt(o).Jb(new op(o)),o.n.b=t.d-10;break}if(i==Che){dHt(o).Jb(new sp(o)),o.n.b=t.b+10;break}break;default:throw qw(new $v("The node type "+o.k+" is not supported by the "+Qce))}}}function VUt(t,e,n,i){var r,a,o,s,c,u,l,h,f,d,g,p;for(c=new PA(i.i+i.g/2,i.j+i.f/2),f=Kqt(i),d=zz(tDt(e,(HGt(),nwe)),98),p=zz(tDt(i,swe),61),zM(dwt(i),ewe)||(g=0==i.i&&0==i.j?0:nTt(i,p),Qwt(i,ewe,g)),hct(r=gGt(i,d,p,f,new PA(e.g,e.f),c,new PA(i.g,i.f),zz(vTt(n,Ype),103),n),(hKt(),pfe),i),qf(a=zz(PH(r.j,0),11),_$t(i)),hct(r,awe,(dMt(),edt(rMe))),l=zz(tDt(e,awe),174).Hc(nMe),s=new LO((!i.n&&(i.n=new nY(UIe,i,1,7)),i.n));s.e!=s.i.gc();)if(!Hv(EB(tDt(o=zz(kwt(s),137),Zbe)))&&o.a&&(h=Hlt(o),Kz(a.f,h),!l))switch(u=0,qU(zz(tDt(e,awe),21))&&(u=OMt(new PA(o.i,o.j),new PA(o.g,o.f),new PA(i.g,i.f),0,p)),p.g){case 2:case 4:h.o.a=u;break;case 1:case 3:h.o.b=u}hct(r,Awe,TB(tDt(QQ(e),Awe))),hct(r,Mwe,TB(tDt(QQ(e),Mwe))),hct(r,Cwe,TB(tDt(QQ(e),Cwe))),Kz(n.a,r),WK(t.a,i,r)}function QUt(t,e,n){var i,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m;for(LEt(n,"Processor arrange level",1),l=0,CX(),jrt(e,new ow((ZHt(),ixe))),a=e.b,s=lwt(e,e.b),u=!0;u&&s.b.b!=s.d.a;)b=zz(Y0(s),86),0==zz(vTt(b,ixe),19).a?--a:u=!1;if(o=new t$(new u1(e,0,a)),c=new t$(new u1(e,a,e.b)),0==o.b)for(d=lwt(c,0);d.b!=d.d.c;)hct(zz(d3(d),86),lxe,rft(l++));else for(h=o.b,m=lwt(o,0);m.b!=m.d.c;){for(hct(y=zz(d3(m),86),lxe,rft(l++)),QUt(t,i=Bst(y),vat(n,1/h|0)),jrt(i,XK(new ow(lxe))),f=new 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c,u,l,h,f,d,g,p,b,w,y,m;for(f=null,r==(pQ(),Ove)?f=e:r==Nve&&(f=i),p=f.a.ec().Kc();p.Ob();){for(g=zz(p.Pb(),11),b=Dct(Ast(Zx(STe,1),lWt,8,0,[g.i.n,g.n,g.a])).b,m=new Fy,c=new Fy,l=new m6(g.b);vD(l.a)||vD(l.b);)if(Hv(EB(vTt(u=zz(vD(l.a)?t0(l.a):t0(l.b),17),(hKt(),Afe))))==a&&-1!=_9(o,u,0)){if(w=u.d==g?u.c:u.d,y=Dct(Ast(Zx(STe,1),lWt,8,0,[w.i.n,w.n,w.a])).b,n.Math.abs(y-b)<.2)continue;y<b?e.a._b(w)?EY(m,new rM(Ove,u)):EY(m,new rM(Nve,u)):e.a._b(w)?EY(c,new rM(Ove,u)):EY(c,new rM(Nve,u))}if(m.a.gc()>1)for(n5(m,new uA(t,d=new hHt(g,m,r))),s.c[s.c.length]=d,h=m.a.ec().Kc();h.Ob();)v9(o,zz(h.Pb(),46).b);if(c.a.gc()>1)for(n5(c,new lA(t,d=new hHt(g,c,r))),s.c[s.c.length]=d,h=c.a.ec().Kc();h.Ob();)v9(o,zz(h.Pb(),46).b)}}function nYt(t){NT(t,new CEt(pk(yk(gk(wk(bk(new bs,p4t),"ELK Radial"),'A radial layout provider which is based on the algorithm of Peter Eades published in "Drawing free trees.", published by International Institute for Advanced Study of Social Information Science, Fujitsu Limited in 1991. The radial layouter takes a tree and places the nodes in radial order around the root. 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Kd(s.j);g.a<g.c.c.length;)r+=(f=zz(t0(g),11)).e.c.length+f.g.c.length,1==f.e.c.length&&(u=(i=zz(PH(f.e,0),17)).c),1==f.g.c.length&&(u=(i=zz(PH(f.g,0),17)).d);if(1!=r||u.e.c.length+u.g.c.length!=1||Hv(EB(vTt(u.i,Epe)))){for(b=new Nw,d=new Kd(s.j);d.a<d.c.c.length;){for(h=new Kd((f=zz(t0(d),11)).g);h.a<h.c.c.length;)0==(l=zz(t0(h),17)).d.g.c.length||(b.c[b.c.length]=l);for(o=new Kd(f.e);o.a<o.c.c.length;)0==(a=zz(t0(o),17)).c.e.c.length||(b.c[b.c.length]=a)}for(p=new Kd(b);p.a<p.c.c.length;)nzt(zz(t0(p),17),!0)}else eGt(s,i,u,u.i),LY(c)}e.n&&Iq(e,"Found "+n+" comment boxes"),HCt(e)}function uYt(t,e,n,i){var r,a,o,s,c,u,l,h,f,d,g,p;if(f=Zv(TB(vTt(t,(HGt(),Awe)))),d=Zv(TB(vTt(t,Mwe))),h=Zv(TB(vTt(t,Cwe))),s=t.o,o=(a=zz(PH(t.j,0),11)).n,p=TSt(a,h)){if(e.Hc((dMt(),nMe)))switch(zz(vTt(t,(hKt(),Xhe)),61).g){case 1:p.c=(s.a-p.b)/2-o.a,p.d=d;break;case 3:p.c=(s.a-p.b)/2-o.a,p.d=-d-p.a;break;case 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ll),FI(Vee,new hl),FI(Vee,new fl),FI(Vee,new dl),FI(Rte,new gl),FI(Rte,new pl),FI(Vee,new bl),FI(Vee,new yl),FI(Vee,new ml),FI(Vee,new vl),FI(Vee,new xl),FI(Vee,new kl),FI(jee,new _l),FI(Vee,new El),FI(Vee,new Tl),FI(Vee,new Cl),FI(jee,new Sl),FI(Ree,new Ml),FI(Vee,new Il),FI(Dee,new Ll)}function hYt(t,e){var n,i,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y;if((h=e.length)>0&&(d1(0,e.length),64!=(s=e.charCodeAt(0)))){if(37==s&&(c=!1,0!=(l=e.lastIndexOf("%"))&&(l==h-1||(d1(l+1,e.length),c=46==e.charCodeAt(l+1))))){if(y=mR("%",o=e.substr(1,l-1))?null:OYt(o),i=0,c)try{i=d$t(e.substr(l+2),jWt,FKt)}catch(t){throw aO(t=dst(t),127)?qw(new O9(t)):qw(t)}for(p=Ert(t.Wg());p.Ob();)if(aO(d=Cot(p),510)&&(w=(r=zz(d,590)).d,(null==y?null==w:mR(y,w))&&0==i--))return r;return null}if(f=-1==(u=e.lastIndexOf("."))?e:e.substr(0,u),n=0,-1!=u)try{n=d$t(e.substr(u+1),jWt,FKt)}catch(t){if(!aO(t=dst(t),127))throw 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T2(t,0),hI(E,rft(t.c.length)),w=zz(d3(_=lwt(E,0)),19).a,hI(k,d),x=lwt(k,0),v=0;l.b<l.d.gc();)l.b==w&&(M=i.b,v=Zv(TB(d3(x))),w=zz(d3(_),19).a),SP(l.b<l.d.gc()),y=(c=zz(l.d.Xb(l.c=l.b++),33)).f,Cnt(c,v),p=v,l.b==w&&(b=h-M-i.c,m=c.g,Snt(c,b),dAt(c,new PA(b,p),new PA(m,y))),M+=c.g+e;return new PA(h,S)}function ZYt(t,e){var i,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x,k,_,E,T,C;for(LEt(e,"Compound graph postprocessor",1),i=Hv(EB(vTt(t,(HGt(),Bwe)))),c=zz(vTt(t,(hKt(),qhe)),224),h=new Fy,y=c.ec().Kc();y.Ob();){for(w=zz(y.Pb(),17),s=new e$(c.cc(w)),CX(),mD(s,new $g(t)),k=oat((f1(0,s.c.length),zz(s.c[0],243))),E=sat(zz(PH(s,s.c.length-1),243)),v=k.i,m=pot(E.i,v)?v.e:yK(v),f=Dwt(w,s),vX(w.a),d=null,o=new Kd(s);o.a<o.c.c.length;)a=zz(t0(o),243),LSt(b=new Zk,a.a,m),g=a.b,Wut(r=new xm,0,g.a),tnt(r,b),x=new gL(b1(g.c)),_=new 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1:zrt(l,e.e.a),Bq(l,e.i.n),zrt(l,iot(e.j.a)),Bq(l,e.a.n),zrt(l,e.f.a);break;default:zrt(l,e.e.a),zrt(l,iot(e.j.a)),zrt(l,e.f.a)}vX(e.f.a),zrt(e.f.a,l),CJ(e.f,e.e.c),s=zz(vTt(e.e,(HGt(),ybe)),74),u=zz(vTt(e.j,ybe),74),c=zz(vTt(e.f,ybe),74),(s||u||c)&&(SY(h=new xm,c),SY(h,u),SY(h,s),hct(e.f,ybe,h)),CJ(e.j,null),TJ(e.j,null),CJ(e.e,null),TJ(e.e,null),SJ(e.a,null),SJ(e.i,null),e.g&&YYt(t,e.g)}function GYt(t){var e,n,i,r,a,o,s,c,u,l,h,f,d,g,p,b;if(Ajt(),null==t)return null;if((g=gft(a=W9(t)))%4!=0)return null;if(0==(p=g/4|0))return P7(NNe,m6t,25,0,15,1);for(h=null,e=0,n=0,i=0,r=0,o=0,s=0,c=0,u=0,d=0,f=0,l=0,h=P7(NNe,m6t,25,3*p,15,1);d<p-1;d++){if(!(W_(o=a[l++])&&W_(s=a[l++])&&W_(c=a[l++])&&W_(u=a[l++])))return null;e=KOe[o],n=KOe[s],i=KOe[c],r=KOe[u],h[f++]=(e<<2|n>>4)<<24>>24,h[f++]=((15&n)<<4|i>>2&15)<<24>>24,h[f++]=(i<<6|r)<<24>>24}return 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gL(b.i.n)).a=Dct(Ast(Zx(STe,1),lWt,8,0,[y.i.n,y.n,y.a])).a,Bq(g.a,m),(m=new gL(p.i.n)).a=Dct(Ast(Zx(STe,1),lWt,8,0,[w.i.n,w.n,w.a])).a,Bq(g.a,m);else{if(r.j.c.length>=2){for(d=!0,n=zz(t0(l=new Kd(r.j)),11),h=null;l.a<l.c.c.length;)if(h=n,n=zz(t0(l),11),!Pht(vTt(h,pfe),vTt(n,pfe))){d=!1;break}}else d=!1;for(u=new Kd(r.j);u.a<u.c.c.length;)0==(c=zz(t0(u),11)).e.c.length||cPt(c,d),0==c.g.c.length||uPt(c,d)}SJ(r,null)}HCt(e)}function WYt(t,e,i){var r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x,k,_,E,T;return 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n,i,r,a,o,s,c,u,h,f,d,g,p,b,w,y,m;for((n=new hyt(e)).a||w$t(e),u=dFt(e),c=new wQ,b=new VPt,p=new Kd(e.a);p.a<p.c.c.length;)for(r=new cU(JO(ddt(zz(t0(p),10)).a.Kc(),new l));bLt(r);)(i=zz(Y5(r),17)).c.i.k!=(cCt(),Tse)&&i.d.i.k!=Tse||JMt(c,cwt((h=dUt(t,i,u,b)).d),h.a);for(o=new Nw,m=zz(vTt(n.c,(hKt(),Ghe)),21).Kc();m.Ob();){switch(y=zz(m.Pb(),61),g=b.c[y.g],d=b.b[y.g],s=b.a[y.g],a=null,w=null,y.g){case 4:a=new YW(t.d.a,g,u.b.a-t.d.a,d-g),w=new YW(t.d.a,g,s,d-g),Uq(u,new PA(a.c+a.b,a.d)),Uq(u,new PA(a.c+a.b,a.d+a.a));break;case 2:a=new YW(u.a.a,g,t.c.a-u.a.a,d-g),w=new YW(t.c.a-s,g,s,d-g),Uq(u,new PA(a.c,a.d)),Uq(u,new PA(a.c,a.d+a.a));break;case 1:a=new YW(g,t.d.b,d-g,u.b.b-t.d.b),w=new YW(g,t.d.b,d-g,s),Uq(u,new PA(a.c,a.d+a.a)),Uq(u,new PA(a.c+a.b,a.d+a.a));break;case 3:a=new YW(g,u.a.b,d-g,t.c.b-u.a.b),w=new YW(g,t.c.b-s,d-g,s),Uq(u,new PA(a.c,a.d)),Uq(u,new PA(a.c+a.b,a.d))}a&&((f=new tm).d=y,f.b=a,f.c=w,f.a=QX(zz(l6(c,cwt(y)),21)),o.c[o.c.length]=f)}return wst(n.b,o),n.d=qlt(eZt(u)),n}function uGt(t,e,i){var r,a,o,s,c,u,l,h,f,d,g,p;if(null==i.p[e.p]){c=!0,i.p[e.p]=0,s=e,p=i.o==(cJ(),rve)?$Xt:RXt;do{a=t.b.e[s.p],o=s.c.a.c.length,i.o==rve&&a>0||i.o==ave&&a<o-1?(u=null,l=null,u=i.o==ave?zz(PH(s.c.a,a+1),10):zz(PH(s.c.a,a-1),10),uGt(t,l=i.g[u.p],i),p=t.e.bg(p,e,s),i.j[e.p]==e&&(i.j[e.p]=i.j[l.p]),i.j[e.p]==i.j[l.p]?(g=RD(t.d,s,u),i.o==ave?(r=Zv(i.p[e.p]),f=Zv(i.p[l.p])+Zv(i.d[u.p])-u.d.d-g-s.d.a-s.o.b-Zv(i.d[s.p]),c?(c=!1,i.p[e.p]=n.Math.min(f,p)):i.p[e.p]=n.Math.min(r,n.Math.min(f,p))):(r=Zv(i.p[e.p]),f=Zv(i.p[l.p])+Zv(i.d[u.p])+u.o.b+u.d.a+g+s.d.d-Zv(i.d[s.p]),c?(c=!1,i.p[e.p]=n.Math.max(f,p)):i.p[e.p]=n.Math.max(r,n.Math.max(f,p)))):(g=Zv(TB(vTt(t.a,(HGt(),Iwe)))),d=krt(t,i.j[e.p]),h=krt(t,i.j[l.p]),i.o==ave?Y1(d,h,Zv(i.p[e.p])+Zv(i.d[s.p])+s.o.b+s.d.a+g-(Zv(i.p[l.p])+Zv(i.d[u.p])-u.d.d)):Y1(d,h,Zv(i.p[e.p])+Zv(i.d[s.p])-s.d.d-Zv(i.p[l.p])-Zv(i.d[u.p])-u.o.b-u.d.a-g))):p=t.e.bg(p,e,s),s=i.a[s.p]}while(s!=e);Iy(t.e,e)}}function lGt(t,e,n){var i,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y;for(h=e,l=new wQ,f=new wQ,a=N2(h,B6t),UCt((i=new hX(t,n,l,f)).a,i.b,i.c,i.d,a),p=(l.i||(l.i=new qO(l,l.c))).Kc();p.Ob();)for(g=zz(p.Pb(),202),s=zz(l6(l,g),21).Kc();s.Ob();){if(o=s.Pb(),!(d=zz(lnt(t.d,o),202)))throw r=F2(h,Z6t),qw(new nx(X6t+o+V6t+r+W6t));!g.e&&(g.e=new lR(jIe,g,10,9)),h8(g.e,d)}for(w=(f.i||(f.i=new qO(f,f.c))).Kc();w.Ob();)for(b=zz(w.Pb(),202),u=zz(l6(f,b),21).Kc();u.Ob();){if(c=u.Pb(),!(d=zz(lnt(t.d,c),202)))throw r=F2(h,Z6t),qw(new nx(X6t+c+V6t+r+W6t));!b.g&&(b.g=new lR(jIe,b,9,10)),h8(b.g,d)}!n.b&&(n.b=new lR(RIe,n,4,7)),0!=n.b.i&&(!n.c&&(n.c=new lR(RIe,n,5,8)),0!=n.c.i)&&(!n.b&&(n.b=new lR(RIe,n,4,7)),n.b.i<=1&&(!n.c&&(n.c=new lR(RIe,n,5,8)),n.c.i<=1))&&1==(!n.a&&(n.a=new nY(jIe,n,6,6)),n.a).i&&(Syt(y=zz(Wet((!n.a&&(n.a=new nY(jIe,n,6,6)),n.a),0),202))||Ayt(y)||(Nit(y,zz(Wet((!n.b&&(n.b=new lR(RIe,n,4,7)),n.b),0),82)),Pit(y,zz(Wet((!n.c&&(n.c=new lR(RIe,n,5,8)),n.c),0),82))))}function hGt(t){var e,i,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x,k,_,E,T,C;for(v=0,x=(m=t.a).length;v<x;++v){for(y=m[v],u=FKt,l=FKt,g=new Kd(y.e);g.a<g.c.c.length;)(o=(f=zz(t0(g),10)).c?_9(f.c.a,f,0):-1)>0?(h=zz(PH(f.c.a,o-1),10),E=RD(t.b,f,h),b=f.n.b-f.d.d-(h.n.b+h.o.b+h.d.a+E)):b=f.n.b-f.d.d,u=n.Math.min(b,u),o<f.c.a.c.length-1?(h=zz(PH(f.c.a,o+1),10),E=RD(t.b,f,h),w=h.n.b-h.d.d-(f.n.b+f.o.b+f.d.a+E)):w=2*f.n.b,l=n.Math.min(w,l);for(c=FKt,a=!1,C=new Kd((r=zz(PH(y.e,0),10)).j);C.a<C.c.c.length;)for(T=zz(t0(C),11),p=r.n.b+T.n.b+T.a.b,i=new Kd(T.e);i.a<i.c.c.length;)e=(k=zz(t0(i),17).c).i.n.b+k.n.b+k.a.b-p,n.Math.abs(e)<n.Math.abs(c)&&n.Math.abs(e)<(e<0?u:l)&&(c=e,a=!0);for(_=new Kd((s=zz(PH(y.e,y.e.c.length-1),10)).j);_.a<_.c.c.length;)for(k=zz(t0(_),11),p=s.n.b+k.n.b+k.a.b,i=new Kd(k.g);i.a<i.c.c.length;)e=(T=zz(t0(i),17).d).i.n.b+T.n.b+T.a.b-p,n.Math.abs(e)<n.Math.abs(c)&&n.Math.abs(e)<(e<0?u:l)&&(c=e,a=!0);if(a&&0!=c)for(d=new Kd(y.e);d.a<d.c.c.length;)(f=zz(t0(d),10)).n.b+=c}}function fGt(t,e,n){var i,r,a,o,s,c,u,l,h,f,d,g,p,b;if(lY(t.a,e)){if(jE(zz(FG(t.a,e),53),n))return 1}else WK(t.a,e,new Fy);if(lY(t.a,n)){if(jE(zz(FG(t.a,n),53),e))return-1}else WK(t.a,n,new Fy);if(lY(t.e,e)){if(jE(zz(FG(t.e,e),53),n))return-1}else WK(t.e,e,new Fy);if(lY(t.e,n)){if(jE(zz(FG(t.a,n),53),e))return 1}else WK(t.e,n,new Fy);if(t.c==(vct(),Pye)||!OP(e,(hKt(),gfe))||!OP(n,(hKt(),gfe))){if(c=zz(_N(T4(Vct(LW(new FH(null,new g1(e.j,16)),new ua)),new la)),11),l=zz(_N(T4(Vct(LW(new FH(null,new g1(n.j,16)),new ha)),new fa)),11),c&&l){if(s=c.i,u=l.i,s&&s==u){for(f=new Kd(s.j);f.a<f.c.c.length;){if((h=zz(t0(f),11))==c)return sRt(t,n,e),-1;if(h==l)return sRt(t,e,n),1}return _D(r_t(t,e),r_t(t,n))}for(p=0,b=(g=t.d).length;p<b;++p){if((d=g[p])==s)return sRt(t,n,e),-1;if(d==u)return sRt(t,e,n),1}}if(!OP(e,(hKt(),gfe))||!OP(n,gfe))return(r=r_t(t,e))>(o=r_t(t,n))?sRt(t,e,n):sRt(t,n,e),r<o?-1:r>o?1:0}return(i=zz(vTt(e,(hKt(),gfe)),19).a)>(a=zz(vTt(n,gfe),19).a)?sRt(t,e,n):sRt(t,n,e),i<a?-1:i>a?1:0}function dGt(t,e,n,i){var r,a,o,s,c,u,l,h,f,d,g,p;if(Hv(EB(tDt(e,(lKt(),UCe)))))return CX(),CX(),lne;if(c=0!=(!e.a&&(e.a=new nY(YIe,e,10,11)),e.a).i,u=!(l=xMt(e)).dc(),c||u){if(!(r=zz(tDt(e,mSe),149)))throw qw(new rx("Resolved algorithm is not set; apply a LayoutAlgorithmResolver before computing layout."));if(p=IA(r,(hLt(),tLe)),Pbt(e),!c&&u&&!p)return CX(),CX(),lne;if(s=new Nw,ZM(tDt(e,_Ce))===ZM((cht(),wAe))&&(IA(r,VIe)||IA(r,XIe)))for(f=yFt(t,e),zrt(d=new VE,(!e.a&&(e.a=new nY(YIe,e,10,11)),e.a));0!=d.b;)Pbt(h=zz(0==d.b?null:(SP(0!=d.b),Det(d,d.a.a)),33)),ZM(tDt(h,_Ce))===ZM(mAe)||S7(h,nCe)&&!k5(r,tDt(h,mSe))?(wst(s,dGt(t,h,n,i)),Qwt(h,_Ce,mAe),$Rt(h)):zrt(d,(!h.a&&(h.a=new nY(YIe,h,10,11)),h.a));else for(f=(!e.a&&(e.a=new nY(YIe,e,10,11)),e.a).i,o=new LO((!e.a&&(e.a=new nY(YIe,e,10,11)),e.a));o.e!=o.i.gc();)wst(s,dGt(t,a=zz(kwt(o),33),n,i)),$Rt(a);for(g=new Kd(s);g.a<g.c.c.length;)Qwt(zz(t0(g),79),UCe,(lN(),!0));return Gbt(e,r,vat(i,f)),p$t(s),u&&p?l:(CX(),CX(),lne)}return CX(),CX(),lne}function gGt(t,e,n,i,r,a,o,s,c){var u,l,h,f,d,g,p;switch(d=n,zf(l=new Oyt(c),(cCt(),Tse)),hct(l,(hKt(),Vhe),o),hct(l,(HGt(),nwe),(V_t(),GAe)),p=Zv(TB(t.We(ewe))),hct(l,ewe,p),AJ(h=new MCt,l),e!=XAe&&e!=VAe||(d=i>=0?hgt(s):Tft(hgt(s)),t.Ye(swe,d)),u=new Zk,f=!1,t.Xe(twe)?(qP(u,zz(t.We(twe),8)),f=!0):vO(u,o.a/2,o.b/2),d.g){case 4:hct(l,xbe,(Tdt(),jfe)),hct(l,Zhe,(Jst(),Dle)),l.o.b=o.b,p<0&&(l.o.a=-p),ZAt(h,(kYt(),cMe)),f||(u.a=o.a),u.a-=o.a;break;case 2:hct(l,xbe,(Tdt(),qfe)),hct(l,Zhe,(Jst(),Ile)),l.o.b=o.b,p<0&&(l.o.a=-p),ZAt(h,(kYt(),AMe)),f||(u.a=0);break;case 1:hct(l,ife,(U9(),Ahe)),l.o.a=o.a,p<0&&(l.o.b=-p),ZAt(h,(kYt(),CMe)),f||(u.b=o.b),u.b-=o.b;break;case 3:hct(l,ife,(U9(),Che)),l.o.a=o.a,p<0&&(l.o.b=-p),ZAt(h,(kYt(),uMe)),f||(u.b=0)}if(qP(h.n,u),hct(l,twe,u),e==YAe||e==KAe||e==GAe){if(g=0,e==YAe&&t.Xe(iwe))switch(d.g){case 1:case 2:g=zz(t.We(iwe),19).a;break;case 3:case 4:g=-zz(t.We(iwe),19).a}else switch(d.g){case 4:case 2:g=a.b,e==KAe&&(g/=r.b);break;case 1:case 3:g=a.a,e==KAe&&(g/=r.a)}hct(l,Efe,g)}return hct(l,Xhe,d),l}function pGt(t){var e,n,i,r,a,o,s,c,u,h,f,d,g,p,b,w,y,m,v,x,k,_;if((n=Zv(TB(vTt(t.a.j,(HGt(),$pe)))))<-1||!t.a.i||OR(zz(vTt(t.a.o,nwe),98))||sdt(t.a.o,(kYt(),cMe)).gc()<2&&sdt(t.a.o,AMe).gc()<2)return!0;if(t.a.c.Rf())return!1;for(v=0,m=0,y=new Nw,c=0,u=(s=t.a.e).length;c<u;++c){for(d=0,p=(f=s[c]).length;d<p;++d)if((h=f[d]).k!=(cCt(),Mse)){for(i=t.b[h.c.p][h.p],h.k==Tse?(i.b=1,zz(vTt(h,(hKt(),pfe)),11).j==(kYt(),cMe)&&(m+=i.a)):(_=sdt(h,(kYt(),AMe))).dc()||!eO(_,new Na)?i.c=1:((r=sdt(h,cMe)).dc()||!eO(r,new Oa))&&(v+=i.a),o=new cU(JO(ddt(h).a.Kc(),new l));bLt(o);)a=zz(Y5(o),17),v+=i.c,m+=i.b,G7(t,i,a.d.i);for(k=new cU(new KO((b=Wnt(Ast(Zx(Bte,1),HKt,20,0,[sdt(h,(kYt(),uMe)),sdt(h,CMe)]))).a.length,b.a));bLt(k);)x=zz(Y5(k),11),(w=zz(vTt(x,(hKt(),_fe)),10))&&(v+=i.c,m+=i.b,G7(t,i,w))}else y.c[y.c.length]=h;for(g=new Kd(y);g.a<g.c.c.length;)for(h=zz(t0(g),10),i=t.b[h.c.p][h.p],o=new cU(JO(ddt(h).a.Kc(),new 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PA(e.a,r.d.d),r,o)).f.a=!0,b.a=o.d,p.c[p.c.length]=b),o.d.j==CMe&&((b=new Azt(e,new PA(e.a,r.d.d+r.d.a),r,o)).f.d=!0,b.a=o.d,p.c[p.c.length]=b))}return p}function SGt(t,e,n){var i,r,a,o,s,c,u;if(LEt(n,"Network simplex node placement",1),t.e=e,t.n=zz(vTt(e,(hKt(),Lfe)),304),uHt(t),R_t(t),QE(gtt(new FH(null,new g1(t.e.b,16)),new qa),new ab(t)),QE(LW(gtt(LW(gtt(new FH(null,new g1(t.e.b,16)),new eo),new no),new io),new ro),new rb(t)),Hv(EB(vTt(t.e,(HGt(),Pbe))))&&(LEt(a=vat(n,1),"Straight Edges Pre-Processing",1),_Ut(t),HCt(a)),Cyt(t.f),r=zz(vTt(e,Pwe),19).a*t.f.a.c.length,WRt(Xx(Vx(z$(t.f),r),!1),vat(n,1)),0!=t.d.a.gc()){for(LEt(a=vat(n,1),"Flexible Where Space Processing",1),o=zz(DN(IU(DW(new FH(null,new g1(t.f.a,16)),new Ha),new Ba)),19).a,s=zz(DN(MU(DW(new FH(null,new g1(t.f.a,16)),new Za),new Fa)),19).a-o,c=LN(new Hy,t.f),u=LN(new Hy,t.f),GNt(oT(aT(rT(sT(new qy,2e4),s),c),u)),QE(LW(LW(OY(t.i),new Ua),new Ya),new UW(o,c,s,u)),i=t.d.a.ec().Kc();i.Ob();)zz(i.Pb(),213).g=1;WRt(Xx(Vx(z$(t.f),r),!1),vat(a,1)),HCt(a)}Hv(EB(vTt(e,Pbe)))&&(LEt(a=vat(n,1),"Straight Edges Post-Processing",1),SSt(t),HCt(a)),VZt(t),t.e=null,t.f=null,t.i=null,t.c=null,DY(t.k),t.j=null,t.a=null,t.o=null,t.d.a.$b(),HCt(n)}function AGt(t,e,i){var r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x;for(s=new Kd(t.a.b);s.a<s.c.c.length;)for(m=new Kd(zz(t0(s),29).a);m.a<m.c.c.length;)y=zz(t0(m),10),e.g[y.p]=y,e.a[y.p]=y,e.d[y.p]=0;for(c=t.a.b,e.c==(bQ(),tve)&&(c=aO(c,152)?c6(zz(c,152)):aO(c,131)?zz(c,131).a:aO(c,54)?new hv(c):new AE(c)),o=c.Kc();o.Ob();)for(d=-1,f=zz(o.Pb(),29).a,e.o==(cJ(),ave)&&(d=FKt,f=aO(f,152)?c6(zz(f,152)):aO(f,131)?zz(f,131).a:aO(f,54)?new hv(f):new AE(f)),x=f.Kc();x.Ob();)if(v=zz(x.Pb(),10),h=null,(h=e.c==tve?zz(PH(t.b.f,v.p),15):zz(PH(t.b.b,v.p),15)).gc()>0)if(r=h.gc(),u=AQ(n.Math.floor((r+1)/2))-1,a=AQ(n.Math.ceil((r+1)/2))-1,e.o==ave)for(l=a;l>=u;l--)e.a[v.p]==v&&(p=zz(h.Xb(l),46),g=zz(p.a,10),!jE(i,p.b)&&d>t.b.e[g.p]&&(e.a[g.p]=v,e.g[v.p]=e.g[g.p],e.a[v.p]=e.g[v.p],e.f[e.g[v.p].p]=(lN(),!!(Hv(e.f[e.g[v.p].p])&v.k==(cCt(),Sse))),d=t.b.e[g.p]));else for(l=u;l<=a;l++)e.a[v.p]==v&&(w=zz(h.Xb(l),46),b=zz(w.a,10),!jE(i,w.b)&&d<t.b.e[b.p]&&(e.a[b.p]=v,e.g[v.p]=e.g[b.p],e.a[v.p]=e.g[v.p],e.f[e.g[v.p].p]=(lN(),!!(Hv(e.f[e.g[v.p].p])&v.k==(cCt(),Sse))),d=t.b.e[b.p]))}function MGt(){MGt=I,n_(),SIe=bIe.a,zz(Wet(XX(bIe.a),0),18),xIe=bIe.f,zz(Wet(XX(bIe.f),0),18),zz(Wet(XX(bIe.f),1),34),CIe=bIe.n,zz(Wet(XX(bIe.n),0),34),zz(Wet(XX(bIe.n),1),34),zz(Wet(XX(bIe.n),2),34),zz(Wet(XX(bIe.n),3),34),kIe=bIe.g,zz(Wet(XX(bIe.g),0),18),zz(Wet(XX(bIe.g),1),34),yIe=bIe.c,zz(Wet(XX(bIe.c),0),18),zz(Wet(XX(bIe.c),1),18),_Ie=bIe.i,zz(Wet(XX(bIe.i),0),18),zz(Wet(XX(bIe.i),1),18),zz(Wet(XX(bIe.i),2),18),zz(Wet(XX(bIe.i),3),18),zz(Wet(XX(bIe.i),4),34),EIe=bIe.j,zz(Wet(XX(bIe.j),0),18),mIe=bIe.d,zz(Wet(XX(bIe.d),0),18),zz(Wet(XX(bIe.d),1),18),zz(Wet(XX(bIe.d),2),18),zz(Wet(XX(bIe.d),3),18),zz(Wet(XX(bIe.d),4),34),zz(Wet(XX(bIe.d),5),34),zz(Wet(XX(bIe.d),6),34),zz(Wet(XX(bIe.d),7),34),wIe=bIe.b,zz(Wet(XX(bIe.b),0),34),zz(Wet(XX(bIe.b),1),34),vIe=bIe.e,zz(Wet(XX(bIe.e),0),34),zz(Wet(XX(bIe.e),1),34),zz(Wet(XX(bIe.e),2),34),zz(Wet(XX(bIe.e),3),34),zz(Wet(XX(bIe.e),4),18),zz(Wet(XX(bIe.e),5),18),zz(Wet(XX(bIe.e),6),18),zz(Wet(XX(bIe.e),7),18),zz(Wet(XX(bIe.e),8),18),zz(Wet(XX(bIe.e),9),18),zz(Wet(XX(bIe.e),10),34),TIe=bIe.k,zz(Wet(XX(bIe.k),0),34),zz(Wet(XX(bIe.k),1),34)}function IGt(t,e){var n,i,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x,k,_,E,T,C,S;for(T=new VE,k=new VE,b=-1,c=new Kd(t);c.a<c.c.c.length;){for((o=zz(t0(c),128)).s=b--,l=0,m=0,a=new Kd(o.t);a.a<a.c.c.length;)m+=(i=zz(t0(a),268)).c;for(r=new Kd(o.i);r.a<r.c.c.length;)l+=(i=zz(t0(r),268)).c;o.n=l,o.u=m,0==m?r5(k,o,k.c.b,k.c):0==l&&r5(T,o,T.c.b,T.c)}for(S=C4(t),p=(h=t.c.length)+1,w=h-1,d=new Nw;0!=S.a.gc();){for(;0!=k.b;)SP(0!=k.b),x=zz(Det(k,k.a.a),128),S.a.Bc(x),x.s=w--,oOt(x,T,k);for(;0!=T.b;)SP(0!=T.b),_=zz(Det(T,T.a.a),128),S.a.Bc(_),_.s=p++,oOt(_,T,k);for(g=jWt,u=S.a.ec().Kc();u.Ob();)(y=(o=zz(u.Pb(),128)).u-o.n)>=g&&(y>g&&(d.c=P7(Dte,HKt,1,0,5,1),g=y),d.c[d.c.length]=o);0!=d.c.length&&(f=zz(PH(d,yyt(e,d.c.length)),128),S.a.Bc(f),f.s=p++,oOt(f,T,k),d.c=P7(Dte,HKt,1,0,5,1))}for(v=t.c.length+1,s=new Kd(t);s.a<s.c.c.length;)(o=zz(t0(s),128)).s<h&&(o.s+=v);for(E=new Kd(t);E.a<E.c.c.length;)for(n=new T2((_=zz(t0(E),128)).t,0);n.b<n.d.gc();)SP(n.b<n.d.gc()),C=(i=zz(n.d.Xb(n.c=n.b++),268)).b,_.s>C.s&&(hK(n),v9(C.i,i),i.c>0&&(i.a=C,Kz(C.t,i),i.b=_,Kz(_.i,i)))}function LGt(t){var e,n,i,r,a;switch(e=t.c){case 11:return t.Ml();case 12:return t.Ol();case 14:return t.Ql();case 15:return t.Tl();case 16:return t.Rl();case 17:return t.Ul();case 21:return VGt(t),pKt(),pKt(),uNe;case 10:switch(t.a){case 65:return t.yl();case 90:return t.Dl();case 122:return t.Kl();case 98:return t.El();case 66:return t.zl();case 60:return t.Jl();case 62:return t.Hl()}}switch(a=kGt(t),e=t.c){case 3:return t.Zl(a);case 4:return t.Xl(a);case 5:return t.Yl(a);case 0:if(123==t.a&&t.d<t.j){if(r=t.d,i=0,n=-1,!((e=hW(t.i,r++))>=48&&e<=57))throw qw(new ox(kKt((sD(),K7t))));for(i=e-48;r<t.j&&(e=hW(t.i,r++))>=48&&e<=57;)if((i=10*i+e-48)<0)throw qw(new ox(kKt((sD(),Q7t))));if(n=i,44==e){if(r>=t.j)throw qw(new ox(kKt((sD(),X7t))));if((e=hW(t.i,r++))>=48&&e<=57){for(n=e-48;r<t.j&&(e=hW(t.i,r++))>=48&&e<=57;)if((n=10*n+e-48)<0)throw qw(new ox(kKt((sD(),Q7t))));if(i>n)throw qw(new ox(kKt((sD(),V7t))))}else n=-1}if(125!=e)throw qw(new ox(kKt((sD(),W7t))));t.sl(r)?(pKt(),pKt(),a=new l4(9,a),t.d=r+1):(pKt(),pKt(),a=new l4(3,a),t.d=r),a.dm(i),a.cm(n),VGt(t)}}return a}function DGt(t,e,n,i,r){var a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x,k,_,E,T;for(g=new Q6(e.b),y=new Q6(e.b),f=new Q6(e.b),k=new Q6(e.b),p=new Q6(e.b),x=lwt(e,0);x.b!=x.d.c;)for(s=new Kd((m=zz(d3(x),11)).g);s.a<s.c.c.length;)if((a=zz(t0(s),17)).c.i==a.d.i){if(m.j==a.d.j){k.c[k.c.length]=a;continue}if(m.j==(kYt(),uMe)&&a.d.j==CMe){p.c[p.c.length]=a;continue}}for(c=new Kd(p);c.a<c.c.c.length;)j$t(t,a=zz(t0(c),17),n,i,(kYt(),cMe));for(o=new Kd(k);o.a<o.c.c.length;)a=zz(t0(o),17),zf(_=new Oyt(t),(cCt(),Mse)),hct(_,(HGt(),nwe),(V_t(),GAe)),hct(_,(hKt(),pfe),a),hct(E=new MCt,pfe,a.d),ZAt(E,(kYt(),AMe)),AJ(E,_),hct(T=new MCt,pfe,a.c),ZAt(T,cMe),AJ(T,_),hct(a.c,_fe,_),hct(a.d,_fe,_),CJ(a,null),TJ(a,null),n.c[n.c.length]=_,hct(_,zhe,rft(2));for(v=lwt(e,0);v.b!=v.d.c;)u=(m=zz(d3(v),11)).e.c.length>0,b=m.g.c.length>0,u&&b?f.c[f.c.length]=m:u?g.c[g.c.length]=m:b&&(y.c[y.c.length]=m);for(d=new Kd(g);d.a<d.c.c.length;)Kz(r,Hzt(t,zz(t0(d),11),null,n));for(w=new Kd(y);w.a<w.c.c.length;)Kz(r,Hzt(t,null,zz(t0(w),11),n));for(h=new Kd(f);h.a<h.c.c.length;)Kz(r,Hzt(t,l=zz(t0(h),11),l,n))}function OGt(t){var e,i,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x,k,_;for(p=new PA(RXt,RXt),e=new PA($Xt,$Xt),x=new Kd(t);x.a<x.c.c.length;)v=zz(t0(x),8),p.a=n.Math.min(p.a,v.a),p.b=n.Math.min(p.b,v.b),e.a=n.Math.max(e.a,v.a),e.b=n.Math.max(e.b,v.b);for(u=new PA(e.a-p.a,e.b-p.b),l=new tzt(new PA(p.a-50,p.b-u.a-50),new PA(p.a-50,e.b+u.a+50),new PA(e.a+u.b/2+50,p.b+u.b/2)),m=new Fy,a=new Nw,i=new Nw,m.a.zc(l,m),_=new Kd(t);_.a<_.c.c.length;){for(k=zz(t0(_),8),a.c=P7(Dte,HKt,1,0,5,1),y=m.a.ec().Kc();y.Ob();)K7((b=zz(y.Pb(),308)).d,b.a),Idt(K7(b.d,k),K7(b.d,b.a))<0&&(a.c[a.c.length]=b);for(i.c=P7(Dte,HKt,1,0,5,1),w=new Kd(a);w.a<w.c.c.length;)for(d=new Kd((b=zz(t0(w),308)).e);d.a<d.c.c.length;){for(h=zz(t0(d),168),o=!0,c=new Kd(a);c.a<c.c.c.length;)(s=zz(t0(c),308))!=b&&(aW(h,PH(s.e,0))||aW(h,PH(s.e,1))||aW(h,PH(s.e,2)))&&(o=!1);o&&(i.c[i.c.length]=h)}for(uTt(m,a),n5(m,new ft),f=new Kd(i);f.a<f.c.c.length;)EY(m,new tzt(k,(h=zz(t0(f),168)).a,h.b))}for(n5(m,new kg(g=new Fy)),r=g.a.ec().Kc();r.Ob();)(R9(l,(h=zz(r.Pb(),168)).a)||R9(l,h.b))&&r.Qb();return n5(g,new dt),g}function NGt(t){var e,n,i;switch(n=zz(vTt(t,(hKt(),Jhe)),21),e=xL(Noe),zz(vTt(t,(HGt(),ube)),334)==(cht(),wAe)&&Jat(e,Poe),Hv(EB(vTt(t,sbe)))?pH(e,(xTt(),Foe),(dKt(),qce)):pH(e,(xTt(),$oe),(dKt(),qce)),null!=vTt(t,(A6(),ETe))&&Jat(e,Boe),(Hv(EB(vTt(t,bbe)))||Hv(EB(vTt(t,cbe))))&&KZ(e,(xTt(),zoe),(dKt(),nce)),zz(vTt(t,Ype),103).g){case 2:case 3:case 4:KZ(pH(e,(xTt(),Foe),(dKt(),rce)),zoe,ice)}switch(n.Hc((gBt(),lhe))&&KZ(pH(pH(e,(xTt(),Foe),(dKt(),ece)),joe,Jse),zoe,tce),ZM(vTt(t,Cbe))!==ZM((lNt(),Mye))&&pH(e,(xTt(),$oe),(dKt(),Nce)),n.Hc(whe)&&(pH(e,(xTt(),Foe),(dKt(),jce)),pH(e,Roe,Rce),pH(e,$oe,$ce)),ZM(vTt(t,Spe))!==ZM((JTt(),ahe))&&ZM(vTt(t,Jpe))!==ZM((Cdt(),VSe))&&KZ(e,(xTt(),zoe),(dKt(),wce)),Hv(EB(vTt(t,hbe)))&&pH(e,(xTt(),$oe),(dKt(),bce)),Hv(EB(vTt(t,qpe)))&&pH(e,(xTt(),$oe),(dKt(),Kce)),$Ot(t)&&(i=(ZM(vTt(t,ube))===ZM(wAe)?zz(vTt(t,Fpe),292):zz(vTt(t,Rpe),292))==($ot(),khe)?(dKt(),Fce):(dKt(),Vce),pH(e,(xTt(),joe),i)),zz(vTt(t,Uwe),377).g){case 1:pH(e,(xTt(),joe),(dKt(),Wce));break;case 2:KZ(pH(pH(e,(xTt(),$oe),(dKt(),Wse)),joe,Xse),zoe,Vse)}return ZM(vTt(t,Ope))!==ZM((vct(),Nye))&&pH(e,(xTt(),$oe),(dKt(),Xce)),e}function PGt(t){NT(t,new CEt(yk(gk(wk(bk(new bs,O4t),"ELK Rectangle Packing"),"Algorithm for packing of unconnected boxes, i.e. graphs without edges. The given order of the boxes is always preserved and the main reading direction of the boxes is left to right. The algorithm is divided into two phases. One phase approximates the width in which the rectangles can be placed. The next phase places the rectangles in rows using the previously calculated width as bounding width and bundles rectangles with a similar height in blocks. A compaction step reduces the size of the drawing. Finally, the rectangles are expanded to fill their bounding box and eliminate empty unused spaces."),new ts))),s2(t,O4t,XQt,1.3),s2(t,O4t,D4t,vwt(b_e)),s2(t,O4t,VQt,M_e),s2(t,O4t,mJt,15),s2(t,O4t,c3t,vwt(d_e)),s2(t,O4t,AJt,vwt(k_e)),s2(t,O4t,qJt,vwt(__e)),s2(t,O4t,SJt,vwt(E_e)),s2(t,O4t,MJt,vwt(x_e)),s2(t,O4t,CJt,vwt(T_e)),s2(t,O4t,IJt,vwt(I_e)),s2(t,O4t,E4t,vwt(S_e)),s2(t,O4t,T4t,vwt(v_e)),s2(t,O4t,A4t,vwt(C_e)),s2(t,O4t,M4t,vwt(L_e)),s2(t,O4t,I4t,vwt(w_e)),s2(t,O4t,_Jt,vwt(y_e)),s2(t,O4t,v3t,vwt(m_e)),s2(t,O4t,S4t,vwt(p_e)),s2(t,O4t,C4t,vwt(g_e)),s2(t,O4t,L4t,vwt(O_e))}function BGt(t,e,n){var i,r,a,o,s,c,u,l,h,f,d,g,p;if(null==n)return null;if(t.a!=e.Aj())throw qw(new $v(b6t+e.ne()+w6t));if(aO(e,457)){if(!(p=SBt(zz(e,671),n)))throw qw(new $v(y6t+n+"' is not a valid enumerator of '"+e.ne()+"'"));return p}switch(Mht((ISt(),JDe),e).cl()){case 2:n=zzt(n,!1);break;case 3:n=zzt(n,!0)}if(i=Mht(JDe,e).$k())return i.Aj().Nh().Kh(i,n);if(h=Mht(JDe,e).al()){for(p=new Nw,u=0,l=(c=xut(n)).length;u<l;++u)s=c[u],Kz(p,h.Aj().Nh().Kh(h,s));return p}if(!(g=Mht(JDe,e).bl()).dc()){for(d=g.Kc();d.Ob();){f=zz(d.Pb(),148);try{if(null!=(p=f.Aj().Nh().Kh(f,n)))return p}catch(t){if(!aO(t=dst(t),60))throw qw(t)}}throw qw(new $v(y6t+n+"' does not match any member types of the union datatype '"+e.ne()+"'"))}if(zz(e,834).Fj(),!(r=Bht(e.Bj())))return null;if(r==See){a=0;try{a=d$t(n,jWt,FKt)&VWt}catch(t){if(!aO(t=dst(t),127))throw qw(t);a=W9(n)[0]}return fst(a)}if(r==vee){for(o=0;o<MIe.length;++o)try{return zT(MIe[o],n)}catch(t){if(!aO(t=dst(t),32))throw qw(t)}throw qw(new $v(y6t+n+"' is not a date formatted string of the form yyyy-MM-dd'T'HH:mm:ss'.'SSSZ or a valid subset thereof"))}throw qw(new $v(y6t+n+"' is invalid. "))}function FGt(t,e){var n,i,r,a,o,s,c,u;if(n=0,o=0,a=e.length,s=null,u=new Mx,o<a&&(d1(o,e.length),43==e.charCodeAt(o))&&(++n,++o<a&&(d1(o,e.length),43==e.charCodeAt(o)||(d1(o,e.length),45==e.charCodeAt(o)))))throw qw(new Tx(FXt+e+'"'));for(;o<a&&(d1(o,e.length),46!=e.charCodeAt(o))&&(d1(o,e.length),101!=e.charCodeAt(o))&&(d1(o,e.length),69!=e.charCodeAt(o));)++o;if(u.a+=""+hP(null==e?YKt:(xK(e),e),n,o),o<a&&(d1(o,e.length),46==e.charCodeAt(o))){for(n=++o;o<a&&(d1(o,e.length),101!=e.charCodeAt(o))&&(d1(o,e.length),69!=e.charCodeAt(o));)++o;t.e=o-n,u.a+=""+hP(null==e?YKt:(xK(e),e),n,o)}else t.e=0;if(o<a&&(d1(o,e.length),101==e.charCodeAt(o)||(d1(o,e.length),69==e.charCodeAt(o)))&&(n=++o,o<a&&(d1(o,e.length),43==e.charCodeAt(o))&&++o<a&&(d1(o,e.length),45!=e.charCodeAt(o))&&++n,s=e.substr(n,a-n),t.e=t.e-d$t(s,jWt,FKt),t.e!=AQ(t.e)))throw qw(new Tx("Scale out of range."));if((c=u.a).length<16){if(t.f=(null==Xee&&(Xee=new RegExp("^[+-]?\\d*$","i")),Xee.test(c)?parseInt(c,10):NaN),isNaN(t.f))throw qw(new Tx(FXt+e+'"'));t.a=sMt(t.f)}else fpt(t,new DL(c));for(t.d=u.a.length,r=0;r<u.a.length&&(45==(i=hW(u.a,r))||48==i);++r)--t.d;0==t.d&&(t.d=1)}function RGt(){RGt=I,JMt(hse=new wQ,(kYt(),gMe),yMe),JMt(hse,TMe,yMe),JMt(hse,TMe,xMe),JMt(hse,lMe,wMe),JMt(hse,lMe,yMe),JMt(hse,pMe,yMe),JMt(hse,pMe,mMe),JMt(hse,_Me,fMe),JMt(hse,_Me,yMe),JMt(hse,vMe,dMe),JMt(hse,vMe,yMe),JMt(hse,vMe,mMe),JMt(hse,vMe,fMe),JMt(hse,dMe,vMe),JMt(hse,dMe,xMe),JMt(hse,dMe,wMe),JMt(hse,dMe,yMe),JMt(hse,kMe,kMe),JMt(hse,kMe,mMe),JMt(hse,kMe,xMe),JMt(hse,bMe,bMe),JMt(hse,bMe,mMe),JMt(hse,bMe,wMe),JMt(hse,EMe,EMe),JMt(hse,EMe,fMe),JMt(hse,EMe,xMe),JMt(hse,hMe,hMe),JMt(hse,hMe,fMe),JMt(hse,hMe,wMe),JMt(hse,mMe,pMe),JMt(hse,mMe,vMe),JMt(hse,mMe,kMe),JMt(hse,mMe,bMe),JMt(hse,mMe,yMe),JMt(hse,mMe,mMe),JMt(hse,mMe,xMe),JMt(hse,mMe,wMe),JMt(hse,fMe,_Me),JMt(hse,fMe,vMe),JMt(hse,fMe,EMe),JMt(hse,fMe,hMe),JMt(hse,fMe,fMe),JMt(hse,fMe,xMe),JMt(hse,fMe,wMe),JMt(hse,fMe,yMe),JMt(hse,xMe,TMe),JMt(hse,xMe,dMe),JMt(hse,xMe,kMe),JMt(hse,xMe,EMe),JMt(hse,xMe,mMe),JMt(hse,xMe,fMe),JMt(hse,xMe,xMe),JMt(hse,xMe,yMe),JMt(hse,wMe,lMe),JMt(hse,wMe,dMe),JMt(hse,wMe,bMe),JMt(hse,wMe,hMe),JMt(hse,wMe,mMe),JMt(hse,wMe,fMe),JMt(hse,wMe,wMe),JMt(hse,wMe,yMe),JMt(hse,yMe,gMe),JMt(hse,yMe,TMe),JMt(hse,yMe,lMe),JMt(hse,yMe,pMe),JMt(hse,yMe,_Me),JMt(hse,yMe,vMe),JMt(hse,yMe,dMe),JMt(hse,yMe,mMe),JMt(hse,yMe,fMe),JMt(hse,yMe,xMe),JMt(hse,yMe,wMe),JMt(hse,yMe,yMe)}function $Gt(t,e,i){var r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x,k,_,E;for(t.d=new PA(RXt,RXt),t.c=new PA($Xt,$Xt),f=e.Kc();f.Ob();)for(m=new Kd(zz(f.Pb(),37).a);m.a<m.c.c.length;)y=zz(t0(m),10),t.d.a=n.Math.min(t.d.a,y.n.a-y.d.b),t.d.b=n.Math.min(t.d.b,y.n.b-y.d.d),t.c.a=n.Math.max(t.c.a,y.n.a+y.o.a+y.d.c),t.c.b=n.Math.max(t.c.b,y.n.b+y.o.b+y.d.a);for(c=new Vy,h=e.Kc();h.Ob();)r=cGt(t,zz(h.Pb(),37)),Kz(c.a,r),r.a=r.a|!zz(vTt(r.c,(hKt(),Ghe)),21).dc();for(t.b=(Slt(),(E=new ve).f=new mit(i),E.b=uZt(E.f,c),E),_Zt((g=t.b,new Gm,g)),t.e=new Zk,t.a=t.b.f.e,s=new Kd(c.a);s.a<s.c.c.length;)for(a=zz(t0(s),841),v=LQ(t.b,a),eRt(a.c,v.a,v.b),b=new Kd(a.c.a);b.a<b.c.c.length;)(p=zz(t0(b),10)).k==(cCt(),Tse)&&(w=dOt(t,p.n,zz(vTt(p,(hKt(),Xhe)),61)),YF(xI(p.n),w));for(o=new Kd(c.a);o.a<o.c.c.length;)for(l=new Kd(pft(a=zz(t0(o),841)));l.a<l.c.c.length;)for(RP(_=new Rk((u=zz(t0(l),17)).a),0,b1(u.c)),Bq(_,b1(u.d)),d=null,k=lwt(_,0);k.b!=k.d.c;)x=zz(d3(k),8),d?(cnt(d.a,x.a)?(t.e.a=n.Math.min(t.e.a,d.a),t.a.a=n.Math.max(t.a.a,d.a)):cnt(d.b,x.b)&&(t.e.b=n.Math.min(t.e.b,d.b),t.a.b=n.Math.max(t.a.b,d.b)),d=x):d=x;HP(t.e),YF(t.a,t.e)}function jGt(t){XDt(t.b,X8t,Ast(Zx(Vee,1),lWt,2,6,[Q8t,"ConsistentTransient"])),XDt(t.a,X8t,Ast(Zx(Vee,1),lWt,2,6,[Q8t,"WellFormedSourceURI"])),XDt(t.o,X8t,Ast(Zx(Vee,1),lWt,2,6,[Q8t,"InterfaceIsAbstract AtMostOneID UniqueFeatureNames UniqueOperationSignatures NoCircularSuperTypes WellFormedMapEntryClass ConsistentSuperTypes DisjointFeatureAndOperationSignatures"])),XDt(t.p,X8t,Ast(Zx(Vee,1),lWt,2,6,[Q8t,"WellFormedInstanceTypeName UniqueTypeParameterNames"])),XDt(t.v,X8t,Ast(Zx(Vee,1),lWt,2,6,[Q8t,"UniqueEnumeratorNames UniqueEnumeratorLiterals"])),XDt(t.R,X8t,Ast(Zx(Vee,1),lWt,2,6,[Q8t,"WellFormedName"])),XDt(t.T,X8t,Ast(Zx(Vee,1),lWt,2,6,[Q8t,"UniqueParameterNames UniqueTypeParameterNames NoRepeatingVoid"])),XDt(t.U,X8t,Ast(Zx(Vee,1),lWt,2,6,[Q8t,"WellFormedNsURI WellFormedNsPrefix UniqueSubpackageNames UniqueClassifierNames UniqueNsURIs"])),XDt(t.W,X8t,Ast(Zx(Vee,1),lWt,2,6,[Q8t,"ConsistentOpposite SingleContainer ConsistentKeys ConsistentUnique ConsistentContainer"])),XDt(t.bb,X8t,Ast(Zx(Vee,1),lWt,2,6,[Q8t,"ValidDefaultValueLiteral"])),XDt(t.eb,X8t,Ast(Zx(Vee,1),lWt,2,6,[Q8t,"ValidLowerBound ValidUpperBound ConsistentBounds ValidType"])),XDt(t.H,X8t,Ast(Zx(Vee,1),lWt,2,6,[Q8t,"ConsistentType ConsistentBounds ConsistentArguments"]))}function zGt(t,e,n){var i,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x;if(!e.dc()){if(r=new xm,h=(o=n||zz(e.Xb(0),17)).c,wPt(),(u=h.i.k)!=(cCt(),Ase)&&u!=Mse&&u!=Tse&&u!=Ese)throw qw(new $v("The target node of the edge must be a normal node or a northSouthPort."));for(hI(r,Dct(Ast(Zx(STe,1),lWt,8,0,[h.i.n,h.n,h.a]))),(kYt(),vMe).Hc(h.j)&&(d=Zv(TB(vTt(h,(hKt(),Ofe)))),r5(r,new PA(Dct(Ast(Zx(STe,1),lWt,8,0,[h.i.n,h.n,h.a])).a,d),r.c.b,r.c)),c=null,i=!1,s=e.Kc();s.Ob();)0!=(a=zz(s.Pb(),17).a).b&&(i?(r5(r,xO(YF(c,(SP(0!=a.b),zz(a.a.a.c,8))),.5),r.c.b,r.c),i=!1):i=!0,c=zD((SP(0!=a.b),zz(a.c.b.c,8))),zrt(r,a),vX(a));f=o.d,vMe.Hc(f.j)&&(d=Zv(TB(vTt(f,(hKt(),Ofe)))),r5(r,new PA(Dct(Ast(Zx(STe,1),lWt,8,0,[f.i.n,f.n,f.a])).a,d),r.c.b,r.c)),hI(r,Dct(Ast(Zx(STe,1),lWt,8,0,[f.i.n,f.n,f.a]))),t.d==(Gut(),nme)&&(SP(0!=r.b),g=zz(r.a.a.c,8),p=zz(Fwt(r,1),8),(b=new GJ(hut(h.j))).a*=5,b.b*=5,w=GF(new PA(p.a,p.b),g),YF(y=new PA(iJ(b.a,w.a),iJ(b.b,w.b)),g),tG(lwt(r,1),y),SP(0!=r.b),m=zz(r.c.b.c,8),v=zz(Fwt(r,r.b-2),8),(b=new GJ(hut(f.j))).a*=5,b.b*=5,w=GF(new PA(v.a,v.b),m),YF(x=new PA(iJ(b.a,w.a),iJ(b.b,w.b)),m),RP(r,r.b-1,x)),l=new uzt(r),zrt(o.a,zyt(l))}}function qGt(t,e,i,r){var a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x,k,_,E,T,C,S,A,M,I,L,D,O,N,P;if(v=(y=zz(Wet((!t.b&&(t.b=new lR(RIe,t,4,7)),t.b),0),82)).Dg(),x=y.Eg(),m=y.Cg()/2,g=y.Bg()/2,aO(y,186)&&(v+=KQ(w=zz(y,118)).i,v+=KQ(w).i),v+=m,x+=g,A=(C=zz(Wet((!t.b&&(t.b=new lR(RIe,t,4,7)),t.b),0),82)).Dg(),M=C.Eg(),S=C.Cg()/2,k=C.Bg()/2,aO(C,186)&&(A+=KQ(T=zz(C,118)).i,A+=KQ(T).i),A+=S,M+=k,0==(!t.a&&(t.a=new nY(jIe,t,6,6)),t.a).i)e_(),c=new oc,h8((!t.a&&(t.a=new nY(jIe,t,6,6)),t.a),c);else if((!t.a&&(t.a=new nY(jIe,t,6,6)),t.a).i>1)for(d=new aP((!t.a&&(t.a=new nY(jIe,t,6,6)),t.a));d.e!=d.i.gc();)Vkt(d);for(p=A,A>v+m?p=v+m:A<v-m&&(p=v-m),b=M,M>x+g?b=x+g:M<x-g&&(b=x-g),p>v-m&&p<v+m&&b>x-g&&b<x+g&&(p=v+m),Int(s=zz(Wet((!t.a&&(t.a=new nY(jIe,t,6,6)),t.a),0),202),p),Dnt(s,b),_=v,v>A+S?_=A+S:v<A-S&&(_=A-S),E=x,x>M+k?E=M+k:x<M-k&&(E=M-k),_>A-S&&_<A+S&&E>M-k&&E<M+k&&(E=M+k),Tnt(s,_),Lnt(s,E),lHt((!s.a&&(s.a=new DO(PIe,s,5)),s.a)),o=yyt(e,5),y==C&&++o,L=_-p,N=E-b,l=.20000000298023224*n.Math.sqrt(L*L+N*N),D=L/(o+1),P=N/(o+1),I=p,O=b,u=0;u<o;u++)O+=P,(h=(I+=D)+HDt(e,24)*cVt*l-l/2)<0?h=1:h>i&&(h=i-1),(f=O+HDt(e,24)*cVt*l-l/2)<0?f=1:f>r&&(f=r-1),e_(),_nt(a=new ac,h),Ent(a,f),h8((!s.a&&(s.a=new DO(PIe,s,5)),s.a),a)}function HGt(){HGt=I,lKt(),wwe=kSe,ywe=_Se,mwe=ESe,vwe=TSe,kwe=CSe,_we=SSe,Cwe=MSe,Awe=LSe,Mwe=DSe,Swe=ISe,Iwe=OSe,Dwe=NSe,Nwe=FSe,Twe=ASe,fKt(),bwe=$ge,xwe=jge,Ewe=zge,Lwe=qge,lwe=new GL(wSe,rft(0)),hwe=Bge,fwe=Fge,dwe=Rge,Uwe=fpe,Fwe=Uge,Rwe=Kge,zwe=npe,$we=Vge,jwe=Jge,Gwe=wpe,Ywe=gpe,Hwe=cpe,qwe=ope,Zwe=lpe,Fbe=Sge,Rbe=Age,rbe=Rde,abe=zde,Ybe=new KL(12),Ube=new GL(GCe,Ybe),Cdt(),Jpe=new GL(yCe,tbe=XSe),ewe=new GL(oSe,0),gwe=new GL(ySe,rft(1)),_pe=new GL(aCe,bJt),Zbe=UCe,nwe=sSe,swe=gSe,Upe=fCe,xpe=iCe,ube=_Ce,pwe=new GL(xSe,(lN(),!0)),gbe=CCe,pbe=SCe,jbe=RCe,Hbe=HCe,zbe=jCe,zht(),Ype=new GL(dCe,Kpe=zSe),Dbe=BCe,Lbe=NCe,awe=hSe,rwe=lSe,owe=dSe,owt(),new GL(JCe,Wbe=HAe),Vbe=nSe,Qbe=iSe,Jbe=rSe,Xbe=eSe,Bwe=Zge,Sbe=fge,Cbe=lge,Pwe=Hge,xbe=nge,Zpe=Ede,Hpe=kde,Ppe=sde,Bpe=cde,Rpe=dde,Fpe=ude,qpe=vde,Mbe=gge,Ibe=pge,wbe=Wde,$be=Dge,Nbe=mge,sbe=Zde,Bbe=Tge,nbe=Nde,ibe=Bde,Npe=lCe,Obe=bge,Spe=Xfe,Cpe=Kfe,Tpe=Gfe,hbe=Gde,lbe=Yde,fbe=Kde,qbe=zCe,ybe=ICe,obe=vCe,Vpe=bCe,Xpe=pCe,$pe=bde,iwe=uSe,Epe=uCe,dbe=TCe,twe=aSe,Gbe=WCe,Kbe=VCe,_be=age,Ebe=sge,uwe=bSe,kpe=Yfe,Tbe=uge,Qpe=Ide,Wpe=Ade,Abe=DCe,mbe=Jde,Pbe=kge,Owe=PSe,Gpe=Cde,cwe=Nge,ebe=Dde,vbe=ege,jpe=yde,bbe=MCe,kbe=rge,zpe=mde,Ope=ade,Lpe=nde,Mpe=tde,Ipe=ede,Dpe=rde,Ape=Qfe,cbe=Ude}function ZGt(t,e){var n,i,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x,k,_,E,T,C,S,A;if(cqt(),E=t.e,g=t.d,r=t.a,0==E)switch(e){case 0:return"0";case 1:return WXt;case 2:return"0.00";case 3:return"0.000";case 4:return"0.0000";case 5:return"0.00000";case 6:return"0.000000";default:return(k=new 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i,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x;switch(t.c=e,t.g=new Pw,ZT(),ngt(new Sg(new Bv(t.c))),y=CB(tDt(t.c,(CTt(),pEe))),s=zz(tDt(t.c,wEe),316),v=zz(tDt(t.c,yEe),429),a=zz(tDt(t.c,lEe),482),m=zz(tDt(t.c,bEe),430),t.j=Zv(TB(tDt(t.c,mEe))),o=t.a,s.g){case 0:o=t.a;break;case 1:o=t.b;break;case 2:o=t.i;break;case 3:o=t.e;break;case 4:o=t.f;break;default:throw qw(new $v(P4t+(null!=s.f?s.f:""+s.g)))}if(t.d=new BQ(o,v,a),hct(t.d,(Kat(),Xre),EB(tDt(t.c,fEe))),t.d.c=Hv(EB(tDt(t.c,hEe))),0==VX(t.c).i)return t.d;for(l=new LO(VX(t.c));l.e!=l.i.gc();){for(f=(u=zz(kwt(l),33)).g/2,h=u.f/2,x=new PA(u.i+f,u.j+h);lY(t.g,x);)$P(x,(n.Math.random()-.5)*dJt,(n.Math.random()-.5)*dJt);g=zz(tDt(u,(lKt(),DCe)),142),p=new LJ(x,new YW(x.a-f-t.j/2-g.b,x.b-h-t.j/2-g.d,u.g+t.j+(g.b+g.c),u.f+t.j+(g.d+g.a))),Kz(t.d.i,p),WK(t.g,x,new rM(p,u))}switch(m.g){case 0:if(null==y)t.d.d=zz(PH(t.d.i,0),65);else for(w=new Kd(t.d.i);w.a<w.c.c.length;)p=zz(t0(w),65),null!=(d=zz(zz(FG(t.g,p.a),46).b,33).zg())&&mR(d,y)&&(t.d.d=p);break;case 1:for((i=new PA(t.c.g,t.c.f)).a*=.5,i.b*=.5,$P(i,t.c.i,t.c.j),r=RXt,b=new Kd(t.d.i);b.a<b.c.c.length;)(c=K7((p=zz(t0(b),65)).a,i))<r&&(r=c,t.d.d=p);break;default:throw qw(new $v(P4t+(null!=m.f?m.f:""+m.g)))}return t.d}function YGt(t,e,i){var r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x,k,_;for(k=zz(Wet((!t.a&&(t.a=new nY(jIe,t,6,6)),t.a),0),202),h=new xm,x=new Pw,_=njt(k),_At(x.f,k,_),d=new Pw,r=new VE,p=NY(Wnt(Ast(Zx(Bte,1),HKt,20,0,[(!e.d&&(e.d=new lR($Ie,e,8,5)),e.d),(!e.e&&(e.e=new lR($Ie,e,7,4)),e.e)])));bLt(p);){if(g=zz(Y5(p),79),1!=(!t.a&&(t.a=new nY(jIe,t,6,6)),t.a).i)throw qw(new $v(q5t+(!t.a&&(t.a=new nY(jIe,t,6,6)),t.a).i));g!=t&&(r5(r,w=zz(Wet((!g.a&&(g.a=new nY(jIe,g,6,6)),g.a),0),202),r.c.b,r.c),(b=zz(HM(LV(x.f,w)),12))||(b=njt(w),_At(x.f,w,b)),f=i?GF(new gL(zz(PH(_,_.c.length-1),8)),zz(PH(b,b.c.length-1),8)):GF(new gL((f1(0,_.c.length),zz(_.c[0],8))),(f1(0,b.c.length),zz(b.c[0],8))),_At(d.f,w,f))}if(0!=r.b)for(y=zz(PH(_,i?_.c.length-1:0),8),l=1;l<_.c.length;l++){for(m=zz(PH(_,i?_.c.length-1-l:l),8),a=lwt(r,0);a.b!=a.d.c;)w=zz(d3(a),202),(b=zz(HM(LV(x.f,w)),12)).c.length<=l?vet(a):(v=YF(new gL(zz(PH(b,i?b.c.length-1-l:l),8)),zz(HM(LV(d.f,w)),8)),m.a==v.a&&m.b==v.b||(o=m.a-y.a,c=m.b-y.b,(s=v.a-y.a)*c==(u=v.b-y.b)*o&&(0==o||isNaN(o)?o:o<0?-1:1)==(0==s||isNaN(s)?s:s<0?-1:1)&&(0==c||isNaN(c)?c:c<0?-1:1)==(0==u||isNaN(u)?u:u<0?-1:1)?(n.Math.abs(o)<n.Math.abs(s)||n.Math.abs(c)<n.Math.abs(u))&&r5(h,m,h.c.b,h.c):l>1&&r5(h,y,h.c.b,h.c),vet(a)));y=m}return h}function GGt(t,e,n){var i,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x,k,_,E,T,C,S,A,M,I,L;for(LEt(n,"Greedy cycle removal",1),L=(m=e.a).c.length,t.a=P7(LNe,hXt,25,L,15,1),t.c=P7(LNe,hXt,25,L,15,1),t.b=P7(LNe,hXt,25,L,15,1),u=0,w=new Kd(m);w.a<w.c.c.length;){for((p=zz(t0(w),10)).p=u,E=new Kd(p.j);E.a<E.c.c.length;){for(s=new Kd((x=zz(t0(E),11)).e);s.a<s.c.c.length;)(i=zz(t0(s),17)).c.i!=p&&(C=zz(vTt(i,(HGt(),hwe)),19).a,t.a[u]+=C>0?C+1:1);for(o=new Kd(x.g);o.a<o.c.c.length;)(i=zz(t0(o),17)).d.i!=p&&(C=zz(vTt(i,(HGt(),hwe)),19).a,t.c[u]+=C>0?C+1:1)}0==t.c[u]?Bq(t.e,p):0==t.a[u]&&Bq(t.f,p),++u}for(g=-1,d=1,h=new Nw,t.d=zz(vTt(e,(hKt(),Cfe)),230);L>0;){for(;0!=t.e.b;)A=zz(pq(t.e),10),t.b[A.p]=g--,VRt(t,A),--L;for(;0!=t.f.b;)M=zz(pq(t.f),10),t.b[M.p]=d++,VRt(t,M),--L;if(L>0){for(f=jWt,y=new Kd(m);y.a<y.c.c.length;)p=zz(t0(y),10),0==t.b[p.p]&&(v=t.c[p.p]-t.a[p.p])>=f&&(v>f&&(h.c=P7(Dte,HKt,1,0,5,1),f=v),h.c[h.c.length]=p);l=t.Zf(h),t.b[l.p]=d++,VRt(t,l),--L}}for(S=m.c.length+1,u=0;u<m.c.length;u++)t.b[u]<0&&(t.b[u]+=S);for(b=new Kd(m);b.a<b.c.c.length;)for(_=0,T=(k=M2((p=zz(t0(b),10)).j)).length;_<T;++_)for(a=0,c=(r=J0((x=k[_]).g)).length;a<c;++a)I=(i=r[a]).d.i.p,t.b[p.p]>t.b[I]&&(nzt(i,!0),hct(e,Hhe,(lN(),!0)));t.a=null,t.c=null,t.b=null,vX(t.f),vX(t.e),HCt(n)}function KGt(t,e){var n,i,r,a,o,s,c,u,l,h,f,d,g,p,b,w;for(i=new Nw,s=new Nw,b=e/2,d=t.gc(),r=zz(t.Xb(0),8),w=zz(t.Xb(1),8),Kz(i,(f1(0,(g=VLt(r.a,r.b,w.a,w.b,b)).c.length),zz(g.c[0],8))),Kz(s,(f1(1,g.c.length),zz(g.c[1],8))),u=2;u<d;u++)p=r,r=w,w=zz(t.Xb(u),8),Kz(i,(f1(1,(g=VLt(r.a,r.b,p.a,p.b,b)).c.length),zz(g.c[1],8))),Kz(s,(f1(0,g.c.length),zz(g.c[0],8))),Kz(i,(f1(0,(g=VLt(r.a,r.b,w.a,w.b,b)).c.length),zz(g.c[0],8))),Kz(s,(f1(1,g.c.length),zz(g.c[1],8)));for(Kz(i,(f1(1,(g=VLt(w.a,w.b,r.a,r.b,b)).c.length),zz(g.c[1],8))),Kz(s,(f1(0,g.c.length),zz(g.c[0],8))),n=new xm,o=new Nw,Bq(n,(f1(0,i.c.length),zz(i.c[0],8))),l=1;l<i.c.length-2;l+=2)f1(l,i.c.length),a=zz(i.c[l],8),f=ZSt((f1(l-1,i.c.length),zz(i.c[l-1],8)),a,(f1(l+1,i.c.length),zz(i.c[l+1],8)),(f1(l+2,i.c.length),zz(i.c[l+2],8))),isFinite(f.a)&&isFinite(f.b)?r5(n,f,n.c.b,n.c):r5(n,a,n.c.b,n.c);for(Bq(n,zz(PH(i,i.c.length-1),8)),Kz(o,(f1(0,s.c.length),zz(s.c[0],8))),h=1;h<s.c.length-2;h+=2)f1(h,s.c.length),a=zz(s.c[h],8),f=ZSt((f1(h-1,s.c.length),zz(s.c[h-1],8)),a,(f1(h+1,s.c.length),zz(s.c[h+1],8)),(f1(h+2,s.c.length),zz(s.c[h+2],8))),isFinite(f.a)&&isFinite(f.b)?o.c[o.c.length]=f:o.c[o.c.length]=a;for(Kz(o,zz(PH(s,s.c.length-1),8)),c=o.c.length-1;c>=0;c--)Bq(n,(f1(c,o.c.length),zz(o.c[c],8)));return n}function WGt(t){var e,n,i,r,a,o,s,c,u,l,h,f,d;if(o=!0,h=null,i=null,r=null,e=!1,d=xLe,u=null,a=null,(c=Xbt(t,s=0,LLe,DLe))<t.length&&(d1(c,t.length),58==t.charCodeAt(c))&&(h=t.substr(s,c-s),s=c+1),n=null!=h&&PE(kLe,h.toLowerCase())){if(-1==(c=t.lastIndexOf("!/")))throw qw(new $v("no archive 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aFt(o,h,i,r,e,d,u,a)}function XGt(t,e){var i,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x,k,_,E,T,C,S,A,M,I,L,D;for(I=new Nw,g=new Kd(e.b);g.a<g.c.c.length;)for(x=new Kd(zz(t0(g),29).a);x.a<x.c.c.length;){for((v=zz(t0(x),10)).p=-1,f=jWt,E=jWt,C=new Kd(v.j);C.a<C.c.c.length;){for(a=new Kd((T=zz(t0(C),11)).e);a.a<a.c.c.length;)i=zz(t0(a),17),S=zz(vTt(i,(HGt(),dwe)),19).a,f=n.Math.max(f,S);for(r=new Kd(T.g);r.a<r.c.c.length;)i=zz(t0(r),17),S=zz(vTt(i,(HGt(),dwe)),19).a,E=n.Math.max(E,S)}hct(v,Gme,rft(f)),hct(v,Kme,rft(E))}for(w=0,d=new Kd(e.b);d.a<d.c.c.length;)for(x=new Kd(zz(t0(d),29).a);x.a<x.c.c.length;)(v=zz(t0(x),10)).p<0&&((M=new rm).b=w++,_Ft(t,v,M),I.c[I.c.length]=M);for(_=uP(I.c.length),h=uP(I.c.length),s=0;s<I.c.length;s++)Kz(_,new Nw),Kz(h,rft(0));for(mUt(e,I,_,h),L=zz(Vbt(I,P7(Vme,L3t,257,I.c.length,0,1)),840),k=zz(Vbt(_,P7(Rte,eJt,15,_.c.length,0,1)),192),l=P7(LNe,hXt,25,h.c.length,15,1),c=0;c<l.length;c++)l[c]=(f1(c,h.c.length),zz(h.c[c],19)).a;for(y=0,m=new Nw,u=0;u<L.length;u++)0==l[u]&&Kz(m,L[u]);for(b=P7(LNe,hXt,25,L.length,15,1);0!=m.c.length;)for(b[(M=zz(u6(m,0),257)).b]=y++;!k[M.b].dc();)--l[(D=zz(k[M.b].$c(0),257)).b],0==l[D.b]&&(m.c[m.c.length]=D);for(t.a=P7(Vme,L3t,257,L.length,0,1),o=0;o<L.length;o++)for(p=L[o],A=b[o],t.a[A]=p,p.b=A,x=new Kd(p.e);x.a<x.c.c.length;)(v=zz(t0(x),10)).p=A;return t.a}function VGt(t){var e,n,i;if(t.d>=t.j)return t.a=-1,void(t.c=1);if(e=hW(t.i,t.d++),t.a=e,1!=t.b){switch(e){case 124:i=2;break;case 42:i=3;break;case 43:i=4;break;case 63:i=5;break;case 41:i=7;break;case 46:i=8;break;case 91:i=9;break;case 94:i=11;break;case 36:i=12;break;case 40:if(i=6,t.d>=t.j)break;if(63!=hW(t.i,t.d))break;if(++t.d>=t.j)throw qw(new ox(kKt((sD(),y7t))));switch(e=hW(t.i,t.d++)){case 58:i=13;break;case 61:i=14;break;case 33:i=15;break;case 91:i=19;break;case 62:i=18;break;case 60:if(t.d>=t.j)throw qw(new ox(kKt((sD(),y7t))));if(61==(e=hW(t.i,t.d++)))i=16;else{if(33!=e)throw qw(new ox(kKt((sD(),m7t))));i=17}break;case 35:for(;t.d<t.j&&41!=(e=hW(t.i,t.d++)););if(41!=e)throw qw(new ox(kKt((sD(),v7t))));i=21;break;default:if(45==e||97<=e&&e<=122||65<=e&&e<=90){--t.d,i=22;break}if(40==e){i=23;break}throw qw(new ox(kKt((sD(),y7t))))}break;case 92:if(i=10,t.d>=t.j)throw qw(new ox(kKt((sD(),w7t))));t.a=hW(t.i,t.d++);break;default:i=0}t.c=i}else{switch(e){case 92:if(i=10,t.d>=t.j)throw qw(new ox(kKt((sD(),w7t))));t.a=hW(t.i,t.d++);break;case 45:512==(512&t.e)&&t.d<t.j&&91==hW(t.i,t.d)?(++t.d,i=24):i=0;break;case 91:if(512!=(512&t.e)&&t.d<t.j&&58==hW(t.i,t.d)){++t.d,i=20;break}default:(64512&e)==HXt&&t.d<t.j&&56320==(64512&(n=hW(t.i,t.d)))&&(t.a=qXt+(e-HXt<<10)+n-56320,++t.d),i=0}t.c=i}}function QGt(t){var e,n,i,r,a,o,s,c,u,h,f,d,g,p,b,w,y,m,v,x,k,_,E,T,C,S;if((k=zz(vTt(t,(HGt(),nwe)),98))!=(V_t(),XAe)&&k!=VAe){for(u=new Q6((dit((d=(g=t.b).c.length)+2,PWt),eet(adt(adt(5,d+2),(d+2)/10|0)))),p=new Q6((dit(d+2,PWt),eet(adt(adt(5,d+2),(d+2)/10|0)))),Kz(u,new Pw),Kz(u,new Pw),Kz(p,new Nw),Kz(p,new Nw),x=new Nw,e=0;e<d;e++)for(f1(e,g.c.length),n=zz(g.c[e],29),f1(e,u.c.length),_=zz(u.c[e],83),b=new Pw,u.c[u.c.length]=b,f1(e,p.c.length),T=zz(p.c[e],15),y=new Nw,p.c[p.c.length]=y,r=new Kd(n.a);r.a<r.c.c.length;)if(oft(i=zz(t0(r),10)))x.c[x.c.length]=i;else{for(c=new cU(JO(fdt(i).a.Kc(),new l));bLt(c);)oft(C=(o=zz(Y5(c),17)).c.i)&&((E=zz(_.xc(vTt(C,(hKt(),pfe))),10))||(E=uMt(t,C),_.zc(vTt(C,pfe),E),T.Fc(E)),CJ(o,zz(PH(E.j,1),11)));for(s=new cU(JO(ddt(i).a.Kc(),new l));bLt(s);)oft(S=(o=zz(Y5(s),17)).d.i)&&((w=zz(FG(b,vTt(S,(hKt(),pfe))),10))||(w=uMt(t,S),WK(b,vTt(S,pfe),w),y.c[y.c.length]=w),TJ(o,zz(PH(w.j,0),11)))}for(h=0;h<p.c.length;h++)if(f1(h,p.c.length),!(m=zz(p.c[h],15)).dc())for(f=null,0==h?(f=new qG(t),OJ(0,g.c.length),TC(g.c,0,f)):h==u.c.length-1?(f=new qG(t),g.c[g.c.length]=f):(f1(h-1,g.c.length),f=zz(g.c[h-1],29)),a=m.Kc();a.Ob();)SJ(zz(a.Pb(),10),f);for(v=new Kd(x);v.a<v.c.c.length;)SJ(zz(t0(v),10),null);hct(t,(hKt(),Khe),x)}}function JGt(t,e,n){var i,r,a,o,s,c,u,h,f,d,g,p,b,w,y,m,v,x,k;if(LEt(n,"Coffman-Graham Layering",1),0!=e.a.c.length){for(k=zz(vTt(e,(HGt(),mbe)),19).a,c=0,o=0,d=new Kd(e.a);d.a<d.c.c.length;)for((f=zz(t0(d),10)).p=c++,a=new cU(JO(ddt(f).a.Kc(),new l));bLt(a);)(r=zz(Y5(a),17)).p=o++;for(t.d=P7(DNe,tQt,25,c,16,1),t.a=P7(DNe,tQt,25,o,16,1),t.b=P7(LNe,hXt,25,c,15,1),t.e=P7(LNe,hXt,25,c,15,1),t.f=P7(LNe,hXt,25,c,15,1),pit(t.c),a_t(t,e),p=new GU(new Bp(t)),x=new Kd(e.a);x.a<x.c.c.length;){for(a=new cU(JO(fdt(m=zz(t0(x),10)).a.Kc(),new l));bLt(a);)r=zz(Y5(a),17),t.a[r.p]||++t.b[m.p];0==t.b[m.p]&&j7(iTt(p,m))}for(s=0;0!=p.b.c.length;)for(m=zz(mtt(p),10),t.f[m.p]=s++,a=new cU(JO(ddt(m).a.Kc(),new l));bLt(a);)r=zz(Y5(a),17),t.a[r.p]||(w=r.d.i,--t.b[w.p],JMt(t.c,w,rft(t.f[m.p])),0==t.b[w.p]&&j7(iTt(p,w)));for(g=new GU(new Fp(t)),v=new Kd(e.a);v.a<v.c.c.length;){for(a=new cU(JO(ddt(m=zz(t0(v),10)).a.Kc(),new l));bLt(a);)r=zz(Y5(a),17),t.a[r.p]||++t.e[m.p];0==t.e[m.p]&&j7(iTt(g,m))}for(i=r1(e,h=new Nw);0!=g.b.c.length;)for(y=zz(mtt(g),10),(i.a.c.length>=k||!Ppt(y,i))&&(i=r1(e,h)),SJ(y,i),a=new cU(JO(fdt(y).a.Kc(),new l));bLt(a);)r=zz(Y5(a),17),t.a[r.p]||(b=r.c.i,--t.e[b.p],0==t.e[b.p]&&j7(iTt(g,b)));for(u=h.c.length-1;u>=0;--u)Kz(e.b,(f1(u,h.c.length),zz(h.c[u],29)));e.a.c=P7(Dte,HKt,1,0,5,1),HCt(n)}else HCt(n)}function tKt(t){var e,n,i,r,a,o,s,c;for(t.b=1,VGt(t),e=null,0==t.c&&94==t.a?(VGt(t),pKt(),pKt(),QPt(e=new T0(4),0,cte),o=new T0(4)):(pKt(),pKt(),o=new T0(4)),r=!0;1!=(c=t.c);){if(0==c&&93==t.a&&!r){e&&(WZt(e,o),o=e);break}if(n=t.a,i=!1,10==c)switch(n){case 100:case 68:case 119:case 87:case 115:case 83:lqt(o,b$t(n)),i=!0;break;case 105:case 73:case 99:case 67:lqt(o,b$t(n)),(n=-1)<0&&(i=!0);break;case 112:case 80:if(!(s=FMt(t,n)))throw qw(new ox(kKt((sD(),L7t))));lqt(o,s),i=!0;break;default:n=ZBt(t)}else if(24==c&&!r){if(e&&(WZt(e,o),o=e),WZt(o,tKt(t)),0!=t.c||93!=t.a)throw qw(new ox(kKt((sD(),P7t))));break}if(VGt(t),!i){if(0==c){if(91==n)throw qw(new ox(kKt((sD(),B7t))));if(93==n)throw qw(new ox(kKt((sD(),F7t))));if(45==n&&!r&&93!=t.a)throw qw(new ox(kKt((sD(),R7t))))}if(0!=t.c||45!=t.a||45==n&&r)QPt(o,n,n);else{if(VGt(t),1==(c=t.c))throw qw(new ox(kKt((sD(),O7t))));if(0==c&&93==t.a)QPt(o,n,n),QPt(o,45,45);else{if(0==c&&93==t.a||24==c)throw qw(new ox(kKt((sD(),R7t))));if(a=t.a,0==c){if(91==a)throw qw(new ox(kKt((sD(),B7t))));if(93==a)throw qw(new ox(kKt((sD(),F7t))));if(45==a)throw qw(new ox(kKt((sD(),R7t))))}else 10==c&&(a=ZBt(t));if(VGt(t),n>a)throw qw(new ox(kKt((sD(),z7t))));QPt(o,n,a)}}}r=!1}if(1==t.c)throw qw(new ox(kKt((sD(),O7t))));return TDt(o),Zqt(o),t.b=0,VGt(t),o}function eKt(t){XDt(t.c,j8t,Ast(Zx(Vee,1),lWt,2,6,[J8t,"http://www.w3.org/2001/XMLSchema#decimal"])),XDt(t.d,j8t,Ast(Zx(Vee,1),lWt,2,6,[J8t,"http://www.w3.org/2001/XMLSchema#integer"])),XDt(t.e,j8t,Ast(Zx(Vee,1),lWt,2,6,[J8t,"http://www.w3.org/2001/XMLSchema#boolean"])),XDt(t.f,j8t,Ast(Zx(Vee,1),lWt,2,6,[J8t,"EBoolean",n7t,"EBoolean:Object"])),XDt(t.i,j8t,Ast(Zx(Vee,1),lWt,2,6,[J8t,"http://www.w3.org/2001/XMLSchema#byte"])),XDt(t.g,j8t,Ast(Zx(Vee,1),lWt,2,6,[J8t,"http://www.w3.org/2001/XMLSchema#hexBinary"])),XDt(t.j,j8t,Ast(Zx(Vee,1),lWt,2,6,[J8t,"EByte",n7t,"EByte:Object"])),XDt(t.n,j8t,Ast(Zx(Vee,1),lWt,2,6,[J8t,"EChar",n7t,"EChar:Object"])),XDt(t.t,j8t,Ast(Zx(Vee,1),lWt,2,6,[J8t,"http://www.w3.org/2001/XMLSchema#double"])),XDt(t.u,j8t,Ast(Zx(Vee,1),lWt,2,6,[J8t,"EDouble",n7t,"EDouble:Object"])),XDt(t.F,j8t,Ast(Zx(Vee,1),lWt,2,6,[J8t,"http://www.w3.org/2001/XMLSchema#float"])),XDt(t.G,j8t,Ast(Zx(Vee,1),lWt,2,6,[J8t,"EFloat",n7t,"EFloat:Object"])),XDt(t.I,j8t,Ast(Zx(Vee,1),lWt,2,6,[J8t,"http://www.w3.org/2001/XMLSchema#int"])),XDt(t.J,j8t,Ast(Zx(Vee,1),lWt,2,6,[J8t,"EInt",n7t,"EInt:Object"])),XDt(t.N,j8t,Ast(Zx(Vee,1),lWt,2,6,[J8t,"http://www.w3.org/2001/XMLSchema#long"])),XDt(t.O,j8t,Ast(Zx(Vee,1),lWt,2,6,[J8t,"ELong",n7t,"ELong:Object"])),XDt(t.Z,j8t,Ast(Zx(Vee,1),lWt,2,6,[J8t,"http://www.w3.org/2001/XMLSchema#short"])),XDt(t.$,j8t,Ast(Zx(Vee,1),lWt,2,6,[J8t,"EShort",n7t,"EShort:Object"])),XDt(t._,j8t,Ast(Zx(Vee,1),lWt,2,6,[J8t,"http://www.w3.org/2001/XMLSchema#string"]))}function nKt(t){var e,i,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x,k,_,E,T,C,S,A;if(1==t.c.length)return f1(0,t.c.length),zz(t.c[0],135);if(t.c.length<=0)return new S6;for(u=new Kd(t);u.a<u.c.c.length;){for(s=zz(t0(u),135),m=0,p=FKt,b=FKt,d=jWt,g=jWt,y=lwt(s.b,0);y.b!=y.d.c;)w=zz(d3(y),86),m+=zz(vTt(w,(MLt(),Dxe)),19).a,p=n.Math.min(p,w.e.a),b=n.Math.min(b,w.e.b),d=n.Math.max(d,w.e.a+w.f.a),g=n.Math.max(g,w.e.b+w.f.b);hct(s,(MLt(),Dxe),rft(m)),hct(s,(ZHt(),txe),new PA(p,b)),hct(s,Jve,new PA(d,g))}for(CX(),mD(t,new wo),Zot(x=new S6,(f1(0,t.c.length),zz(t.c[0],94))),f=0,C=0,l=new Kd(t);l.a<l.c.c.length;)s=zz(t0(l),135),k=GF(zD(zz(vTt(s,(ZHt(),Jve)),8)),zz(vTt(s,txe),8)),f=n.Math.max(f,k.a),C+=k.a*k.b;for(f=n.Math.max(f,n.Math.sqrt(C)*Zv(TB(vTt(x,(MLt(),kxe))))),S=0,A=0,h=0,e=_=Zv(TB(vTt(x,Pxe))),c=new Kd(t);c.a<c.c.c.length;)s=zz(t0(c),135),S+(k=GF(zD(zz(vTt(s,(ZHt(),Jve)),8)),zz(vTt(s,txe),8))).a>f&&(S=0,A+=h+_,h=0),EOt(x,s,S,A),e=n.Math.max(e,S+k.a),h=n.Math.max(h,k.b),S+=k.a+_;for(v=new Pw,i=new Pw,T=new Kd(t);T.a<T.c.c.length;)for(r=Hv(EB(vTt(E=zz(t0(T),135),(lKt(),fCe)))),o=(E.q?E.q:hne).vc().Kc();o.Ob();)lY(v,(a=zz(o.Pb(),42)).cd())?ZM(zz(a.cd(),146).wg())!==ZM(a.dd())&&(r&&lY(i,a.cd())?(DE(),zz(a.cd(),146).tg()):(WK(v,zz(a.cd(),146),a.dd()),hct(x,zz(a.cd(),146),a.dd()),r&&WK(i,zz(a.cd(),146),a.dd()))):(WK(v,zz(a.cd(),146),a.dd()),hct(x,zz(a.cd(),146),a.dd()));return x}function iKt(){iKt=I,RGt(),JMt(wse=new wQ,(kYt(),pMe),gMe),JMt(wse,TMe,gMe),JMt(wse,bMe,gMe),JMt(wse,kMe,gMe),JMt(wse,xMe,gMe),JMt(wse,mMe,gMe),JMt(wse,kMe,pMe),JMt(wse,gMe,lMe),JMt(wse,pMe,lMe),JMt(wse,TMe,lMe),JMt(wse,bMe,lMe),JMt(wse,vMe,lMe),JMt(wse,kMe,lMe),JMt(wse,xMe,lMe),JMt(wse,mMe,lMe),JMt(wse,dMe,lMe),JMt(wse,gMe,_Me),JMt(wse,pMe,_Me),JMt(wse,lMe,_Me),JMt(wse,TMe,_Me),JMt(wse,bMe,_Me),JMt(wse,vMe,_Me),JMt(wse,kMe,_Me),JMt(wse,dMe,_Me),JMt(wse,EMe,_Me),JMt(wse,xMe,_Me),JMt(wse,wMe,_Me),JMt(wse,mMe,_Me),JMt(wse,pMe,TMe),JMt(wse,bMe,TMe),JMt(wse,kMe,TMe),JMt(wse,mMe,TMe),JMt(wse,pMe,bMe),JMt(wse,TMe,bMe),JMt(wse,kMe,bMe),JMt(wse,bMe,bMe),JMt(wse,xMe,bMe),JMt(wse,gMe,hMe),JMt(wse,pMe,hMe),JMt(wse,lMe,hMe),JMt(wse,_Me,hMe),JMt(wse,TMe,hMe),JMt(wse,bMe,hMe),JMt(wse,vMe,hMe),JMt(wse,kMe,hMe),JMt(wse,EMe,hMe),JMt(wse,dMe,hMe),JMt(wse,mMe,hMe),JMt(wse,xMe,hMe),JMt(wse,yMe,hMe),JMt(wse,gMe,EMe),JMt(wse,pMe,EMe),JMt(wse,lMe,EMe),JMt(wse,TMe,EMe),JMt(wse,bMe,EMe),JMt(wse,vMe,EMe),JMt(wse,kMe,EMe),JMt(wse,dMe,EMe),JMt(wse,mMe,EMe),JMt(wse,wMe,EMe),JMt(wse,yMe,EMe),JMt(wse,pMe,dMe),JMt(wse,TMe,dMe),JMt(wse,bMe,dMe),JMt(wse,kMe,dMe),JMt(wse,EMe,dMe),JMt(wse,mMe,dMe),JMt(wse,xMe,dMe),JMt(wse,gMe,fMe),JMt(wse,pMe,fMe),JMt(wse,lMe,fMe),JMt(wse,TMe,fMe),JMt(wse,bMe,fMe),JMt(wse,vMe,fMe),JMt(wse,kMe,fMe),JMt(wse,dMe,fMe),JMt(wse,mMe,fMe),JMt(wse,pMe,xMe),JMt(wse,lMe,xMe),JMt(wse,_Me,xMe),JMt(wse,bMe,xMe),JMt(wse,gMe,wMe),JMt(wse,pMe,wMe),JMt(wse,_Me,wMe),JMt(wse,TMe,wMe),JMt(wse,bMe,wMe),JMt(wse,vMe,wMe),JMt(wse,kMe,wMe),JMt(wse,kMe,yMe),JMt(wse,bMe,yMe),JMt(wse,dMe,gMe),JMt(wse,dMe,TMe),JMt(wse,dMe,lMe),JMt(wse,vMe,gMe),JMt(wse,vMe,pMe),JMt(wse,vMe,_Me)}function rKt(t,e){switch(t.e){case 0:case 2:case 4:case 6:case 42:case 44:case 46:case 48:case 8:case 10:case 12:case 14:case 16:case 18:case 20:case 22:case 24:case 26:case 28:case 30:case 32:case 34:case 36:case 38:return new UX(t.b,t.a,e,t.c);case 1:return new OO(t.a,e,Dgt(e.Tg(),t.c));case 43:return new PO(t.a,e,Dgt(e.Tg(),t.c));case 3:return new DO(t.a,e,Dgt(e.Tg(),t.c));case 45:return new NO(t.a,e,Dgt(e.Tg(),t.c));case 41:return new v8(zz(Ixt(t.c),26),t.a,e,Dgt(e.Tg(),t.c));case 50:return new xit(zz(Ixt(t.c),26),t.a,e,Dgt(e.Tg(),t.c));case 5:return new iR(t.a,e,Dgt(e.Tg(),t.c),t.d.n);case 47:return new rR(t.a,e,Dgt(e.Tg(),t.c),t.d.n);case 7:return new nY(t.a,e,Dgt(e.Tg(),t.c),t.d.n);case 49:return new nR(t.a,e,Dgt(e.Tg(),t.c),t.d.n);case 9:return new jO(t.a,e,Dgt(e.Tg(),t.c));case 11:return new $O(t.a,e,Dgt(e.Tg(),t.c));case 13:return new RO(t.a,e,Dgt(e.Tg(),t.c));case 15:return new Tq(t.a,e,Dgt(e.Tg(),t.c));case 17:return new zO(t.a,e,Dgt(e.Tg(),t.c));case 19:return new FO(t.a,e,Dgt(e.Tg(),t.c));case 21:return new BO(t.a,e,Dgt(e.Tg(),t.c));case 23:return new vq(t.a,e,Dgt(e.Tg(),t.c));case 25:return new hR(t.a,e,Dgt(e.Tg(),t.c),t.d.n);case 27:return new lR(t.a,e,Dgt(e.Tg(),t.c),t.d.n);case 29:return new cR(t.a,e,Dgt(e.Tg(),t.c),t.d.n);case 31:return new aR(t.a,e,Dgt(e.Tg(),t.c),t.d.n);case 33:return new uR(t.a,e,Dgt(e.Tg(),t.c),t.d.n);case 35:return new sR(t.a,e,Dgt(e.Tg(),t.c),t.d.n);case 37:return new oR(t.a,e,Dgt(e.Tg(),t.c),t.d.n);case 39:return new iY(t.a,e,Dgt(e.Tg(),t.c),t.d.n);case 40:return new Eat(e,Dgt(e.Tg(),t.c));default:throw qw(new pv("Unknown feature style: "+t.e))}}function aKt(t,e,n){var i,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x;switch(LEt(n,"Brandes & Koepf node placement",1),t.a=e,t.c=zjt(e),i=zz(vTt(e,(HGt(),Nbe)),274),d=Hv(EB(vTt(e,Pbe))),t.d=i==(qkt(),Xle)&&!d||i==Gle,JHt(t,e),v=null,x=null,b=null,w=null,dit(4,DWt),p=new Q6(4),zz(vTt(e,Nbe),274).g){case 3:b=new ZRt(e,t.c.d,(cJ(),rve),(bQ(),tve)),p.c[p.c.length]=b;break;case 1:w=new ZRt(e,t.c.d,(cJ(),ave),(bQ(),tve)),p.c[p.c.length]=w;break;case 4:v=new ZRt(e,t.c.d,(cJ(),rve),(bQ(),eve)),p.c[p.c.length]=v;break;case 2:x=new ZRt(e,t.c.d,(cJ(),ave),(bQ(),eve)),p.c[p.c.length]=x;break;default:b=new ZRt(e,t.c.d,(cJ(),rve),(bQ(),tve)),w=new ZRt(e,t.c.d,ave,tve),v=new ZRt(e,t.c.d,rve,eve),x=new ZRt(e,t.c.d,ave,eve),p.c[p.c.length]=v,p.c[p.c.length]=x,p.c[p.c.length]=b,p.c[p.c.length]=w}for(r=new iA(e,t.c),s=new Kd(p);s.a<s.c.c.length;)AGt(r,a=zz(t0(s),180),t.b),Wzt(a);for(f=new Jvt(e,t.c),c=new Kd(p);c.a<c.c.c.length;)HUt(f,a=zz(t0(c),180));if(n.n)for(u=new Kd(p);u.a<u.c.c.length;)Iq(n,(a=zz(t0(u),180))+" size is "+mDt(a));if(h=null,t.d&&Izt(e,l=zYt(t,p,t.c.d),n)&&(h=l),!h)for(u=new Kd(p);u.a<u.c.c.length;)Izt(e,a=zz(t0(u),180),n)&&(!h||mDt(h)>mDt(a))&&(h=a);for(!h&&(f1(0,p.c.length),h=zz(p.c[0],180)),g=new Kd(e.b);g.a<g.c.c.length;)for(m=new Kd(zz(t0(g),29).a);m.a<m.c.c.length;)(y=zz(t0(m),10)).n.b=Zv(h.p[y.p])+Zv(h.d[y.p]);for(n.n&&(Iq(n,"Chosen node placement: "+h),Iq(n,"Blocks: "+BIt(h)),Iq(n,"Classes: "+GLt(h,n)),Iq(n,"Marked edges: "+t.b)),o=new Kd(p);o.a<o.c.c.length;)(a=zz(t0(o),180)).g=null,a.b=null,a.a=null,a.d=null,a.j=null,a.i=null,a.p=null;Yrt(t.c),t.b.a.$b(),HCt(n)}function oKt(t,e,n){var i,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x,k,_,E;for(o=new VE,y=zz(vTt(n,(HGt(),Ype)),103),g=0,zrt(o,(!e.a&&(e.a=new nY(YIe,e,10,11)),e.a));0!=o.b;)u=zz(0==o.b?null:(SP(0!=o.b),Det(o,o.a.a)),33),(ZM(tDt(e,Ope))!==ZM((vct(),Nye))||ZM(tDt(e,Zpe))===ZM((Xyt(),_le))||ZM(tDt(e,Zpe))===ZM((Xyt(),xle))||Hv(EB(tDt(e,Ppe)))||ZM(tDt(e,Ape))!==ZM((qht(),gse)))&&!Hv(EB(tDt(u,Dpe)))&&Qwt(u,(hKt(),gfe),rft(g++)),!Hv(EB(tDt(u,Zbe)))&&(h=0!=(!u.a&&(u.a=new nY(YIe,u,10,11)),u.a).i,d=kEt(u),f=ZM(tDt(u,ube))===ZM((cht(),wAe)),b=null,(E=!S7(u,(lKt(),nCe))||mR(CB(tDt(u,nCe)),p1t))&&f&&(h||d)&&(hct(b=kjt(u),Ype,y),OP(b,bwe)&&Tv(new cgt(Zv(TB(vTt(b,bwe)))),b),0!=zz(tDt(u,jbe),174).gc()&&(l=b,QE(new FH(null,(!u.c&&(u.c=new nY(GIe,u,9,9)),new g1(u.c,16))),new Gg(l)),vBt(u,b))),m=n,(v=zz(FG(t.a,QQ(u)),10))&&(m=v.e),p=pUt(t,u,m),b&&(p.e=b,b.e=p,zrt(o,(!u.a&&(u.a=new nY(YIe,u,10,11)),u.a))));for(g=0,r5(o,e,o.c.b,o.c);0!=o.b;){for(c=new LO((!(a=zz(0==o.b?null:(SP(0!=o.b),Det(o,o.a.a)),33)).b&&(a.b=new nY($Ie,a,12,3)),a.b));c.e!=c.i.gc();)nRt(s=zz(kwt(c),79)),(ZM(tDt(e,Ope))!==ZM((vct(),Nye))||ZM(tDt(e,Zpe))===ZM((Xyt(),_le))||ZM(tDt(e,Zpe))===ZM((Xyt(),xle))||Hv(EB(tDt(e,Ppe)))||ZM(tDt(e,Ape))!==ZM((qht(),gse)))&&Qwt(s,(hKt(),gfe),rft(g++)),k=AEt(zz(Wet((!s.b&&(s.b=new lR(RIe,s,4,7)),s.b),0),82)),_=AEt(zz(Wet((!s.c&&(s.c=new lR(RIe,s,5,8)),s.c),0),82)),Hv(EB(tDt(s,Zbe)))||Hv(EB(tDt(k,Zbe)))||Hv(EB(tDt(_,Zbe)))||(w=a,VMt(s)&&Hv(EB(tDt(k,gbe)))&&Hv(EB(tDt(s,pbe)))||Met(_,k)?w=k:Met(k,_)&&(w=_),m=n,(v=zz(FG(t.a,w),10))&&(m=v.e),hct(cKt(t,s,w,m),(hKt(),jhe),NPt(t,s,e,n)));if(f=ZM(tDt(a,ube))===ZM((cht(),wAe)))for(r=new LO((!a.a&&(a.a=new nY(YIe,a,10,11)),a.a));r.e!=r.i.gc();)E=!S7(i=zz(kwt(r),33),(lKt(),nCe))||mR(CB(tDt(i,nCe)),p1t),x=ZM(tDt(i,ube))===ZM(wAe),E&&x&&r5(o,i,o.c.b,o.c)}}function sKt(t,e,n,i,r,a){var o,s,c,u,l,h,f;switch(e){case 71:o=i.q.getFullYear()-lXt>=-1900?1:0,cI(t,n>=4?Ast(Zx(Vee,1),lWt,2,6,[fXt,dXt])[o]:Ast(Zx(Vee,1),lWt,2,6,["BC","AD"])[o]);break;case 121:uwt(t,n,i);break;case 77:KRt(t,n,i);break;case 107:_tt(t,0==(s=r.q.getHours())?24:s,n);break;case 83:ROt(t,n,r);break;case 69:c=i.q.getDay(),cI(t,5==n?Ast(Zx(Vee,1),lWt,2,6,["S","M","T","W","T","F","S"])[c]:4==n?Ast(Zx(Vee,1),lWt,2,6,[gXt,pXt,bXt,wXt,yXt,mXt,vXt])[c]:Ast(Zx(Vee,1),lWt,2,6,["Sun","Mon","Tue","Wed","Thu","Fri","Sat"])[c]);break;case 97:r.q.getHours()>=12&&r.q.getHours()<24?cI(t,Ast(Zx(Vee,1),lWt,2,6,["AM","PM"])[1]):cI(t,Ast(Zx(Vee,1),lWt,2,6,["AM","PM"])[0]);break;case 104:_tt(t,0==(u=r.q.getHours()%12)?12:u,n);break;case 75:_tt(t,r.q.getHours()%12,n);break;case 72:_tt(t,r.q.getHours(),n);break;case 99:l=i.q.getDay(),5==n?cI(t,Ast(Zx(Vee,1),lWt,2,6,["S","M","T","W","T","F","S"])[l]):4==n?cI(t,Ast(Zx(Vee,1),lWt,2,6,[gXt,pXt,bXt,wXt,yXt,mXt,vXt])[l]):3==n?cI(t,Ast(Zx(Vee,1),lWt,2,6,["Sun","Mon","Tue","Wed","Thu","Fri","Sat"])[l]):_tt(t,l,1);break;case 76:h=i.q.getMonth(),5==n?cI(t,Ast(Zx(Vee,1),lWt,2,6,["J","F","M","A","M","J","J","A","S","O","N","D"])[h]):4==n?cI(t,Ast(Zx(Vee,1),lWt,2,6,[QWt,JWt,tXt,eXt,nXt,iXt,rXt,aXt,oXt,sXt,cXt,uXt])[h]):3==n?cI(t,Ast(Zx(Vee,1),lWt,2,6,["Jan","Feb","Mar","Apr",nXt,"Jun","Jul","Aug","Sep","Oct","Nov","Dec"])[h]):_tt(t,h+1,n);break;case 81:f=i.q.getMonth()/3|0,cI(t,n<4?Ast(Zx(Vee,1),lWt,2,6,["Q1","Q2","Q3","Q4"])[f]:Ast(Zx(Vee,1),lWt,2,6,["1st quarter","2nd quarter","3rd quarter","4th quarter"])[f]);break;case 100:_tt(t,i.q.getDate(),n);break;case 109:_tt(t,r.q.getMinutes(),n);break;case 115:_tt(t,r.q.getSeconds(),n);break;case 122:cI(t,n<4?a.c[0]:a.c[1]);break;case 118:cI(t,a.b);break;case 90:cI(t,n<3?eMt(a):3==n?pMt(a):bMt(a.a));break;default:return!1}return!0}function cKt(t,e,n,i){var r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x,k,_,E,T,C,S,A;if(nRt(e),c=zz(Wet((!e.b&&(e.b=new lR(RIe,e,4,7)),e.b),0),82),l=zz(Wet((!e.c&&(e.c=new lR(RIe,e,5,8)),e.c),0),82),s=AEt(c),u=AEt(l),o=0==(!e.a&&(e.a=new nY(jIe,e,6,6)),e.a).i?null:zz(Wet((!e.a&&(e.a=new nY(jIe,e,6,6)),e.a),0),202),k=zz(FG(t.a,s),10),C=zz(FG(t.a,u),10),_=null,S=null,aO(c,186)&&(aO(x=zz(FG(t.a,c),299),11)?_=zz(x,11):aO(x,10)&&(k=zz(x,10),_=zz(PH(k.j,0),11))),aO(l,186)&&(aO(T=zz(FG(t.a,l),299),11)?S=zz(T,11):aO(T,10)&&(C=zz(T,10),S=zz(PH(C.j,0),11))),!k||!C)throw qw(new ax("The source or the target of edge "+e+" could not be found. This usually happens when an edge connects a node laid out by ELK Layered to a node in another level of hierarchy laid out by either another instance of ELK Layered or another layout algorithm alltogether. The former can be solved by setting the hierarchyHandling option to INCLUDE_CHILDREN."));for(Zot(p=new gV,e),hct(p,(hKt(),pfe),e),hct(p,(HGt(),ybe),null),d=zz(vTt(i,Jhe),21),k==C&&d.Fc((gBt(),yhe)),_||(sit(),v=Hye,E=null,o&&yL(zz(vTt(k,nwe),98))&&(V3(E=new PA(o.j,o.k),GQ(e)),e5(E,n),Met(u,s)&&(v=qye,YF(E,k.n))),_=bqt(k,E,v,i)),S||(sit(),v=qye,A=null,o&&yL(zz(vTt(C,nwe),98))&&(V3(A=new PA(o.b,o.c),GQ(e)),e5(A,n)),S=bqt(C,A,v,yK(C))),CJ(p,_),TJ(p,S),(_.e.c.length>1||_.g.c.length>1||S.e.c.length>1||S.g.c.length>1)&&d.Fc((gBt(),dhe)),f=new LO((!e.n&&(e.n=new nY(UIe,e,1,7)),e.n));f.e!=f.i.gc();)if(!Hv(EB(tDt(h=zz(kwt(f),137),Zbe)))&&h.a)switch(b=Hlt(h),Kz(p.b,b),zz(vTt(b,Vpe),272).g){case 1:case 2:d.Fc((gBt(),hhe));break;case 0:d.Fc((gBt(),uhe)),hct(b,Vpe,(Ret(),USe))}if(a=zz(vTt(i,Hpe),314),w=zz(vTt(i,$be),315),r=a==(Lit(),ule)||w==(Pyt(),wye),o&&0!=(!o.a&&(o.a=new DO(PIe,o,5)),o.a).i&&r){for(y=ZCt(o),g=new xm,m=lwt(y,0);m.b!=m.d.c;)Bq(g,new gL(zz(d3(m),8)));hct(p,bfe,g)}return p}function uKt(t){t.gb||(t.gb=!0,t.b=kot(t,0),Rrt(t.b,18),$rt(t.b,19),t.a=kot(t,1),Rrt(t.a,1),$rt(t.a,2),$rt(t.a,3),$rt(t.a,4),$rt(t.a,5),t.o=kot(t,2),Rrt(t.o,8),Rrt(t.o,9),$rt(t.o,10),$rt(t.o,11),$rt(t.o,12),$rt(t.o,13),$rt(t.o,14),$rt(t.o,15),$rt(t.o,16),$rt(t.o,17),$rt(t.o,18),$rt(t.o,19),$rt(t.o,20),$rt(t.o,21),$rt(t.o,22),$rt(t.o,23),cet(t.o),cet(t.o),cet(t.o),cet(t.o),cet(t.o),cet(t.o),cet(t.o),cet(t.o),cet(t.o),cet(t.o),t.p=kot(t,3),Rrt(t.p,2),Rrt(t.p,3),Rrt(t.p,4),Rrt(t.p,5),$rt(t.p,6),$rt(t.p,7),cet(t.p),cet(t.p),t.q=kot(t,4),Rrt(t.q,8),t.v=kot(t,5),$rt(t.v,9),cet(t.v),cet(t.v),cet(t.v),t.w=kot(t,6),Rrt(t.w,2),Rrt(t.w,3),Rrt(t.w,4),$rt(t.w,5),t.B=kot(t,7),$rt(t.B,1),cet(t.B),cet(t.B),cet(t.B),t.Q=kot(t,8),$rt(t.Q,0),cet(t.Q),t.R=kot(t,9),Rrt(t.R,1),t.S=kot(t,10),cet(t.S),cet(t.S),cet(t.S),cet(t.S),cet(t.S),cet(t.S),cet(t.S),cet(t.S),cet(t.S),cet(t.S),cet(t.S),cet(t.S),cet(t.S),cet(t.S),cet(t.S),t.T=kot(t,11),$rt(t.T,10),$rt(t.T,11),$rt(t.T,12),$rt(t.T,13),$rt(t.T,14),cet(t.T),cet(t.T),t.U=kot(t,12),Rrt(t.U,2),Rrt(t.U,3),$rt(t.U,4),$rt(t.U,5),$rt(t.U,6),$rt(t.U,7),cet(t.U),t.V=kot(t,13),$rt(t.V,10),t.W=kot(t,14),Rrt(t.W,18),Rrt(t.W,19),Rrt(t.W,20),$rt(t.W,21),$rt(t.W,22),$rt(t.W,23),t.bb=kot(t,15),Rrt(t.bb,10),Rrt(t.bb,11),Rrt(t.bb,12),Rrt(t.bb,13),Rrt(t.bb,14),Rrt(t.bb,15),Rrt(t.bb,16),$rt(t.bb,17),cet(t.bb),cet(t.bb),t.eb=kot(t,16),Rrt(t.eb,2),Rrt(t.eb,3),Rrt(t.eb,4),Rrt(t.eb,5),Rrt(t.eb,6),Rrt(t.eb,7),$rt(t.eb,8),$rt(t.eb,9),t.ab=kot(t,17),Rrt(t.ab,0),Rrt(t.ab,1),t.H=kot(t,18),$rt(t.H,0),$rt(t.H,1),$rt(t.H,2),$rt(t.H,3),$rt(t.H,4),$rt(t.H,5),cet(t.H),t.db=kot(t,19),$rt(t.db,2),t.c=_ot(t,20),t.d=_ot(t,21),t.e=_ot(t,22),t.f=_ot(t,23),t.i=_ot(t,24),t.g=_ot(t,25),t.j=_ot(t,26),t.k=_ot(t,27),t.n=_ot(t,28),t.r=_ot(t,29),t.s=_ot(t,30),t.t=_ot(t,31),t.u=_ot(t,32),t.fb=_ot(t,33),t.A=_ot(t,34),t.C=_ot(t,35),t.D=_ot(t,36),t.F=_ot(t,37),t.G=_ot(t,38),t.I=_ot(t,39),t.J=_ot(t,40),t.L=_ot(t,41),t.M=_ot(t,42),t.N=_ot(t,43),t.O=_ot(t,44),t.P=_ot(t,45),t.X=_ot(t,46),t.Y=_ot(t,47),t.Z=_ot(t,48),t.$=_ot(t,49),t._=_ot(t,50),t.cb=_ot(t,51),t.K=_ot(t,52))}function lKt(){var t,e;lKt=I,nCe=new sw(p5t),mSe=new sw(b5t),pyt(),iCe=new DI(W2t,rCe=ATe),new Dw,aCe=new DI(XQt,null),oCe=new sw(w5t),p_t(),hCe=_Z(JTe,Ast(Zx(HSe,1),OWt,291,0,[WTe])),lCe=new DI(c3t,hCe),fCe=new DI(K2t,(lN(),!1)),zht(),dCe=new DI(J2t,gCe=zSe),Cdt(),yCe=new DI(x2t,mCe=JSe),kCe=new DI(D4t,!1),cht(),_Ce=new DI(b2t,ECe=yAe),KCe=new KL(12),GCe=new DI(VQt,KCe),ACe=new DI(_Jt,!1),MCe=new DI(v3t,!1),YCe=new DI(CJt,!1),V_t(),sSe=new DI(EJt,cSe=VAe),bSe=new sw(w3t),wSe=new sw(yJt),ySe=new sw(xJt),xSe=new sw(kJt),LCe=new xm,ICe=new DI(u3t,LCe),uCe=new DI(f3t,!1),TCe=new DI(d3t,!1),new sw(y5t),OCe=new fm,DCe=new DI(y3t,OCe),UCe=new DI(Y2t,!1),new Dw,vSe=new DI(m5t,1),new DI(v5t,!0),rft(0),new DI(x5t,rft(100)),new DI(k5t,!1),rft(0),new DI(_5t,rft(4e3)),rft(0),new DI(E5t,rft(400)),new DI(T5t,!1),new DI(C5t,!1),new DI(S5t,!0),new DI(A5t,!1),zgt(),sCe=new DI(g5t,cCe=nIe),kSe=new DI(N2t,10),_Se=new DI(P2t,10),ESe=new DI(KQt,20),TSe=new DI(B2t,10),CSe=new DI(vJt,2),SSe=new DI(F2t,10),MSe=new DI(R2t,0),ISe=new DI(z2t,5),LSe=new DI($2t,1),DSe=new DI(j2t,1),OSe=new DI(mJt,20),NSe=new DI(q2t,10),FSe=new DI(H2t,10),ASe=new sw(Z2t),BSe=new fL,PSe=new DI(m3t,BSe),VCe=new sw(b3t),WCe=new DI(p3t,XCe=!1),PCe=new KL(5),NCe=new DI(t3t,PCe),eDt(),e=zz(Wk(ZAe),9),FCe=new VR(e,zz(CF(e,e.length),9),0),BCe=new DI(MJt,FCe),owt(),JCe=new DI(i3t,tSe=zAe),nSe=new sw(r3t),iSe=new sw(a3t),rSe=new sw(o3t),eSe=new sw(s3t),t=zz(Wk(VMe),9),$Ce=new VR(t,zz(CF(t,t.length),9),0),RCe=new DI(AJt,$Ce),ZCe=edt((e$t(),ZMe)),HCe=new DI(SJt,ZCe),qCe=new PA(0,0),zCe=new DI(qJt,qCe),jCe=new DI(Q2t,!1),Ret(),bCe=new DI(l3t,wCe=USe),pCe=new DI(TJt,!1),new sw(M5t),rft(1),new DI(I5t,null),aSe=new sw(g3t),uSe=new sw(h3t),kYt(),gSe=new DI(G2t,pSe=SMe),oSe=new sw(U2t),dMt(),fSe=edt(rMe),hSe=new DI(IJt,fSe),lSe=new DI(e3t,!1),dSe=new DI(n3t,!0),CCe=new DI(X2t,!1),SCe=new DI(V2t,!1),vCe=new DI(WQt,1),eTt(),new DI(L5t,xCe=oAe),QCe=!0}function hKt(){var t,e;hKt=I,pfe=new sw(LJt),jhe=new sw("coordinateOrigin"),Tfe=new sw("processors"),$he=new iF("compoundNode",(lN(),!1)),nfe=new iF("insideConnections",!1),bfe=new sw("originalBendpoints"),wfe=new sw("originalDummyNodePosition"),yfe=new sw("originalLabelEdge"),Sfe=new sw("representedLabels"),Uhe=new sw("endLabels"),Yhe=new sw("endLabel.origin"),sfe=new iF("labelSide",(Kvt(),TAe)),dfe=new iF("maxEdgeThickness",0),Afe=new iF("reversed",!1),Cfe=new sw(DJt),lfe=new iF("longEdgeSource",null),hfe=new iF("longEdgeTarget",null),ufe=new iF("longEdgeHasLabelDummies",!1),cfe=new iF("longEdgeBeforeLabelDummy",!1),Zhe=new iF("edgeConstraint",(Jst(),Lle)),rfe=new sw("inLayerLayoutUnit"),ife=new iF("inLayerConstraint",(U9(),She)),afe=new iF("inLayerSuccessorConstraint",new Nw),ofe=new iF("inLayerSuccessorConstraintBetweenNonDummies",!1),_fe=new sw("portDummy"),zhe=new iF("crossingHint",rft(0)),Jhe=new iF("graphProperties",new VR(e=zz(Wk(Ehe),9),zz(CF(e,e.length),9),0)),Xhe=new iF("externalPortSide",(kYt(),SMe)),Vhe=new iF("externalPortSize",new Zk),Khe=new sw("externalPortReplacedDummies"),Whe=new sw("externalPortReplacedDummy"),Ghe=new iF("externalPortConnections",new VR(t=zz(Wk(jMe),9),zz(CF(t,t.length),9),0)),Efe=new iF(bQt,0),Phe=new sw("barycenterAssociates"),Rfe=new sw("TopSideComments"),Bhe=new sw("BottomSideComments"),Rhe=new sw("CommentConnectionPort"),efe=new iF("inputCollect",!1),xfe=new iF("outputCollect",!1),Hhe=new iF("cyclic",!1),qhe=new sw("crossHierarchyMap"),Ffe=new sw("targetOffset"),new iF("splineLabelSize",new Zk),Lfe=new sw("spacings"),kfe=new iF("partitionConstraint",!1),Fhe=new sw("breakingPoint.info"),Pfe=new sw("splines.survivingEdge"),Nfe=new sw("splines.route.start"),Dfe=new sw("splines.edgeChain"),vfe=new sw("originalPortConstraints"),Ife=new sw("selfLoopHolder"),Ofe=new sw("splines.nsPortY"),gfe=new sw("modelOrder"),ffe=new sw("longEdgeTargetNode"),Qhe=new iF(Y1t,!1),Mfe=new iF(Y1t,!1),tfe=new sw("layerConstraints.hiddenNodes"),mfe=new sw("layerConstraints.opposidePort"),Bfe=new sw("targetNode.modelOrder")}function fKt(){fKt=I,$tt(),Cde=new DI(G1t,Sde=Cle),Zde=new DI(K1t,(lN(),!1)),U2(),Wde=new DI(W1t,Xde=Lhe),gge=new DI(X1t,!1),pge=new DI(V1t,!0),Yfe=new DI(Q1t,!1),Y9(),Nge=new DI(J1t,Pge=Rye),rft(1),Hge=new DI(t0t,rft(7)),Zge=new DI(e0t,!1),Ude=new DI(n0t,!1),Xyt(),Ede=new DI(i0t,Tde=vle),TEt(),fge=new DI(r0t,dge=eye),Tdt(),nge=new DI(a0t,ige=Hfe),rft(-1),ege=new DI(o0t,rft(-1)),rft(-1),rge=new DI(s0t,rft(-1)),rft(-1),age=new DI(c0t,rft(4)),rft(-1),sge=new DI(u0t,rft(2)),lNt(),lge=new DI(l0t,hge=Mye),rft(0),uge=new DI(h0t,rft(0)),Jde=new DI(f0t,rft(FKt)),Lit(),kde=new DI(d0t,_de=lle),sde=new DI(g0t,!1),bde=new DI(p0t,.1),vde=new DI(b0t,!1),rft(-1),yde=new DI(w0t,rft(-1)),rft(-1),mde=new DI(y0t,rft(-1)),rft(0),cde=new DI(m0t,rft(40)),$ot(),dde=new DI(v0t,gde=_he),ude=new DI(x0t,lde=xhe),Pyt(),Dge=new DI(k0t,Oge=bye),kge=new sw(_0t),b9(),bge=new DI(E0t,wge=Hle),qkt(),mge=new DI(T0t,vge=Xle),new Dw,Tge=new DI(C0t,.3),Sge=new sw(S0t),gyt(),Age=new DI(A0t,Mge=fye),Hat(),Nde=new DI(M0t,Pde=Kye),L6(),Bde=new DI(I0t,Fde=Jye),Gut(),Rde=new DI(L0t,$de=rme),zde=new DI(D0t,.2),Dde=new DI(O0t,2),$ge=new DI(N0t,null),zge=new DI(P0t,10),jge=new DI(B0t,10),qge=new DI(F0t,20),rft(0),Bge=new DI(R0t,rft(0)),rft(0),Fge=new DI($0t,rft(0)),rft(0),Rge=new DI(j0t,rft(0)),Gfe=new DI(z0t,!1),JTt(),Xfe=new DI(q0t,Vfe=ahe),W7(),Kfe=new DI(H0t,Wfe=ole),Gde=new DI(Z0t,!1),rft(0),Yde=new DI(U0t,rft(16)),rft(0),Kde=new DI(Y0t,rft(5)),Ost(),fpe=new DI(G0t,dpe=dme),Uge=new DI(K0t,10),Kge=new DI(W0t,1),cit(),npe=new DI(X0t,ipe=ble),Vge=new sw(V0t),tpe=rft(1),rft(0),Jge=new DI(Q0t,tpe),bat(),wpe=new DI(J0t,ype=sme),gpe=new sw(t2t),cpe=new DI(e2t,!0),ope=new DI(n2t,2),lpe=new DI(i2t,!0),wCt(),Ide=new DI(r2t,Lde=$le),OSt(),Ade=new DI(a2t,Mde=Jue),vct(),ade=new DI(o2t,ode=Nye),rde=new DI(s2t,!1),qht(),Qfe=new DI(c2t,Jfe=gse),Clt(),nde=new DI(u2t,ide=aye),tde=new DI(l2t,0),ede=new DI(h2t,0),Qde=kle,Vde=ule,oge=tye,cge=tye,tge=Vwe,cht(),wde=wAe,xde=lle,pde=lle,hde=lle,fde=wAe,_ge=mye,Ege=bye,yge=bye,xge=bye,Cge=yye,Lge=mye,Ige=mye,Cdt(),jde=QSe,qde=QSe,Hde=rme,Ode=VSe,Yge=gme,Gge=fme,Wge=gme,Xge=fme,rpe=gme,ape=fme,Qge=ple,epe=ble,mpe=gme,vpe=fme,ppe=gme,bpe=fme,upe=fme,spe=fme,hpe=fme}function dKt(){dKt=I,rce=new tS("DIRECTION_PREPROCESSOR",0),ece=new tS("COMMENT_PREPROCESSOR",1),ace=new tS("EDGE_AND_LAYER_CONSTRAINT_EDGE_REVERSER",2),xce=new tS("INTERACTIVE_EXTERNAL_PORT_POSITIONER",3),jce=new tS("PARTITION_PREPROCESSOR",4),Tce=new tS("LABEL_DUMMY_INSERTER",5),Yce=new tS("SELF_LOOP_PREPROCESSOR",6),Ice=new tS("LAYER_CONSTRAINT_PREPROCESSOR",7),Rce=new tS("PARTITION_MIDPROCESSOR",8),bce=new tS("HIGH_DEGREE_NODE_LAYER_PROCESSOR",9),Nce=new tS("NODE_PROMOTION",10),Mce=new tS("LAYER_CONSTRAINT_POSTPROCESSOR",11),$ce=new tS("PARTITION_POSTPROCESSOR",12),fce=new tS("HIERARCHICAL_PORT_CONSTRAINT_PROCESSOR",13),Kce=new tS("SEMI_INTERACTIVE_CROSSMIN_PROCESSOR",14),Wse=new tS("BREAKING_POINT_INSERTER",15),Oce=new tS("LONG_EDGE_SPLITTER",16),qce=new tS("PORT_SIDE_PROCESSOR",17),kce=new tS("INVERTED_PORT_PROCESSOR",18),zce=new tS("PORT_LIST_SORTER",19),Xce=new tS("SORT_BY_INPUT_ORDER_OF_MODEL",20),Bce=new tS("NORTH_SOUTH_PORT_PREPROCESSOR",21),Xse=new tS("BREAKING_POINT_PROCESSOR",22),Fce=new tS(E1t,23),Vce=new tS(T1t,24),Zce=new tS("SELF_LOOP_PORT_RESTORER",25),Wce=new tS("SINGLE_EDGE_GRAPH_WRAPPER",26),_ce=new tS("IN_LAYER_CONSTRAINT_PROCESSOR",27),uce=new tS("END_NODE_PORT_LABEL_MANAGEMENT_PROCESSOR",28),Ece=new tS("LABEL_AND_NODE_SIZE_PROCESSOR",29),vce=new tS("INNERMOST_NODE_MARGIN_CALCULATOR",30),Gce=new tS("SELF_LOOP_ROUTER",31),Jse=new tS("COMMENT_NODE_MARGIN_CALCULATOR",32),sce=new tS("END_LABEL_PREPROCESSOR",33),Sce=new tS("LABEL_DUMMY_SWITCHER",34),Qse=new tS("CENTER_LABEL_MANAGEMENT_PROCESSOR",35),Ace=new tS("LABEL_SIDE_SELECTOR",36),yce=new tS("HYPEREDGE_DUMMY_MERGER",37),dce=new tS("HIERARCHICAL_PORT_DUMMY_SIZE_PROCESSOR",38),Lce=new tS("LAYER_SIZE_AND_GRAPH_HEIGHT_CALCULATOR",39),pce=new tS("HIERARCHICAL_PORT_POSITION_PROCESSOR",40),nce=new tS("CONSTRAINTS_POSTPROCESSOR",41),tce=new tS("COMMENT_POSTPROCESSOR",42),mce=new tS("HYPERNODE_PROCESSOR",43),gce=new tS("HIERARCHICAL_PORT_ORTHOGONAL_EDGE_ROUTER",44),Dce=new tS("LONG_EDGE_JOINER",45),Uce=new tS("SELF_LOOP_POSTPROCESSOR",46),Vse=new tS("BREAKING_POINT_REMOVER",47),Pce=new tS("NORTH_SOUTH_PORT_POSTPROCESSOR",48),wce=new tS("HORIZONTAL_COMPACTOR",49),Cce=new tS("LABEL_DUMMY_REMOVER",50),lce=new tS("FINAL_SPLINE_BENDPOINTS_CALCULATOR",51),cce=new tS("END_LABEL_SORTER",52),Hce=new tS("REVERSED_EDGE_RESTORER",53),oce=new tS("END_LABEL_POSTPROCESSOR",54),hce=new tS("HIERARCHICAL_NODE_RESIZER",55),ice=new tS("DIRECTION_POSTPROCESSOR",56)}function gKt(t,e,i){var r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x,k,_,E,T,C,S,A,M,I,L,D,O,N,P,B,F,R,$,j,z,q,H,Z,U,Y,G,K,W,X,V,Q,J,tt,et,nt,it,rt,at,ot,st;for(Q=0,O=0,B=(I=e).length;O<B;++O)for(Z=new Kd((A=I[O]).j);Z.a<Z.c.c.length;){for(Y=0,c=new Kd((H=zz(t0(Z),11)).g);c.a<c.c.c.length;)s=zz(t0(c),17),A.c!=s.d.i.c&&++Y;Y>0&&(t.a[H.p]=Q++)}for(it=0,N=0,F=(L=i).length;N<F;++N){for(R=0,Z=new Kd((A=L[N]).j);Z.a<Z.c.c.length&&(H=zz(t0(Z),11)).j==(kYt(),uMe);)for(c=new Kd(H.e);c.a<c.c.c.length;)if(s=zz(t0(c),17),A.c!=s.c.i.c){++R;break}for(j=0,G=new T2(A.j,A.j.c.length);G.b>0;){for(SP(G.b>0),Y=0,c=new Kd((H=zz(G.a.Xb(G.c=--G.b),11)).e);c.a<c.c.c.length;)s=zz(t0(c),17),A.c!=s.c.i.c&&++Y;Y>0&&(H.j==(kYt(),uMe)?(t.a[H.p]=it,++it):(t.a[H.p]=it+R+j,++j))}it+=j}for(U=new Pw,p=new hL,D=0,P=(M=e).length;D<P;++D)for(et=new Kd((A=M[D]).j);et.a<et.c.c.length;)for(c=new Kd((tt=zz(t0(et),11)).g);c.a<c.c.c.length;)if(at=(s=zz(t0(c),17)).d,A.c!=at.i.c)if(J=zz(HM(LV(U.f,tt)),467),rt=zz(HM(LV(U.f,at)),467),J||rt)if(J)if(rt)if(J==rt)Kz(J.a,s);else{for(Kz(J.a,s),q=new Kd(rt.d);q.a<q.c.c.length;)z=zz(t0(q),11),_At(U.f,z,J);wst(J.a,rt.a),wst(J.d,rt.d),p.a.Bc(rt)}else Kz(J.a,s),Kz(J.d,at),_At(U.f,at,J);else Kz(rt.a,s),Kz(rt.d,tt),_At(U.f,tt,rt);else g=new BF,p.a.zc(g,p),Kz(g.a,s),Kz(g.d,tt),_At(U.f,tt,g),Kz(g.d,at),_At(U.f,at,g);for(b=zz(Emt(p,P7(jme,{3:1,4:1,5:1,1946:1},467,p.a.gc(),0,1)),1946),S=e[0].c,V=i[0].c,f=0,d=(h=b).length;f<d;++f)for((l=h[f]).e=Q,l.f=it,Z=new Kd(l.d);Z.a<Z.c.c.length;)H=zz(t0(Z),11),K=t.a[H.p],H.i.c==S?(K<l.e&&(l.e=K),K>l.b&&(l.b=K)):H.i.c==V&&(K<l.f&&(l.f=K),K>l.c&&(l.c=K));for(U8(b,0,b.length,null),nt=P7(LNe,hXt,25,b.length,15,1),r=P7(LNe,hXt,25,it+1,15,1),y=0;y<b.length;y++)nt[y]=b[y].f,r[nt[y]]=1;for(o=0,m=0;m<r.length;m++)1==r[m]?r[m]=o:--o;for(W=0,v=0;v<nt.length;v++)nt[v]+=r[nt[v]],W=n.Math.max(W,nt[v]+1);for(u=1;u<W;)u*=2;for(st=2*u-1,u-=1,ot=P7(LNe,hXt,25,st,15,1),a=0,T=0;T<nt.length;T++)for(++ot[E=nt[T]+u];E>0;)E%2>0&&(a+=ot[E+1]),++ot[E=(E-1)/2|0];for(C=P7(Hme,HKt,362,2*b.length,0,1),x=0;x<b.length;x++)C[2*x]=new HW(b[x],b[x].e,b[x].b,(X4(),qme)),C[2*x+1]=new HW(b[x],b[x].b,b[x].e,zme);for(U8(C,0,C.length,null),$=0,k=0;k<C.length;k++)switch(C[k].d.g){case 0:++$;break;case 1:a+=--$}for(X=P7(Hme,HKt,362,2*b.length,0,1),_=0;_<b.length;_++)X[2*_]=new HW(b[_],b[_].f,b[_].c,(X4(),qme)),X[2*_+1]=new HW(b[_],b[_].c,b[_].f,zme);for(U8(X,0,X.length,null),$=0,w=0;w<X.length;w++)switch(X[w].d.g){case 0:++$;break;case 1:a+=--$}return a}function pKt(){pKt=I,uNe=new Lw(7),lNe=new cZ(8,94),new cZ(8,64),hNe=new cZ(8,36),wNe=new cZ(8,65),yNe=new cZ(8,122),mNe=new cZ(8,90),kNe=new cZ(8,98),pNe=new cZ(8,66),vNe=new cZ(8,60),_Ne=new cZ(8,62),cNe=new Lw(11),QPt(sNe=new T0(4),48,57),QPt(xNe=new T0(4),48,57),QPt(xNe,65,90),QPt(xNe,95,95),QPt(xNe,97,122),QPt(bNe=new T0(4),9,9),QPt(bNe,10,10),QPt(bNe,12,12),QPt(bNe,13,13),QPt(bNe,32,32),fNe=Ojt(sNe),gNe=Ojt(xNe),dNe=Ojt(bNe),iNe=new Pw,rNe=new Pw,aNe=Ast(Zx(Vee,1),lWt,2,6,["Cn","Lu","Ll","Lt","Lm","Lo","Mn","Me","Mc","Nd","Nl","No","Zs","Zl","Zp","Cc","Cf",null,"Co","Cs","Pd","Ps","Pe","Pc","Po","Sm","Sc","Sk","So","Pi","Pf","L","M","N","Z","C","P","S"]),nNe=Ast(Zx(Vee,1),lWt,2,6,["Basic Latin","Latin-1 Supplement","Latin Extended-A","Latin Extended-B","IPA Extensions","Spacing Modifier Letters","Combining Diacritical Marks","Greek","Cyrillic","Armenian","Hebrew","Arabic","Syriac","Thaana","Devanagari","Bengali","Gurmukhi","Gujarati","Oriya","Tamil","Telugu","Kannada","Malayalam","Sinhala","Thai","Lao","Tibetan","Myanmar","Georgian","Hangul Jamo","Ethiopic","Cherokee","Unified Canadian Aboriginal Syllabics","Ogham","Runic","Khmer","Mongolian","Latin Extended Additional","Greek Extended","General Punctuation","Superscripts and Subscripts","Currency Symbols","Combining Marks for Symbols","Letterlike Symbols","Number Forms","Arrows","Mathematical Operators","Miscellaneous Technical","Control Pictures","Optical Character Recognition","Enclosed Alphanumerics","Box Drawing","Block Elements","Geometric Shapes","Miscellaneous Symbols","Dingbats","Braille Patterns","CJK Radicals Supplement","Kangxi Radicals","Ideographic Description Characters","CJK Symbols and Punctuation","Hiragana","Katakana","Bopomofo","Hangul Compatibility Jamo","Kanbun","Bopomofo Extended","Enclosed CJK Letters and Months","CJK Compatibility","CJK Unified Ideographs Extension A","CJK Unified Ideographs","Yi Syllables","Yi Radicals","Hangul Syllables",wte,"CJK Compatibility Ideographs","Alphabetic Presentation Forms","Arabic Presentation Forms-A","Combining Half Marks","CJK Compatibility Forms","Small Form Variants","Arabic Presentation Forms-B","Specials","Halfwidth and Fullwidth Forms","Old Italic","Gothic","Deseret","Byzantine Musical Symbols","Musical Symbols","Mathematical Alphanumeric Symbols","CJK Unified Ideographs Extension B","CJK Compatibility Ideographs Supplement","Tags"]),oNe=Ast(Zx(LNe,1),hXt,25,15,[66304,66351,66352,66383,66560,66639,118784,119039,119040,119295,119808,120831,131072,173782,194560,195103,917504,917631])}function bKt(){bKt=I,Sre=new uat("OUT_T_L",0,(Q8(),Vie),(Z9(),ire),(Fet(),Zie),Zie,Ast(Zx(Fte,1),HKt,21,0,[_Z((eDt(),OAe),Ast(Zx(ZAe,1),OWt,93,0,[BAe,MAe]))])),Cre=new uat("OUT_T_C",1,Xie,ire,Zie,Uie,Ast(Zx(Fte,1),HKt,21,0,[_Z(OAe,Ast(Zx(ZAe,1),OWt,93,0,[BAe,AAe])),_Z(OAe,Ast(Zx(ZAe,1),OWt,93,0,[BAe,AAe,IAe]))])),Are=new uat("OUT_T_R",2,Qie,ire,Zie,Yie,Ast(Zx(Fte,1),HKt,21,0,[_Z(OAe,Ast(Zx(ZAe,1),OWt,93,0,[BAe,LAe]))])),yre=new uat("OUT_B_L",3,Vie,are,Yie,Zie,Ast(Zx(Fte,1),HKt,21,0,[_Z(OAe,Ast(Zx(ZAe,1),OWt,93,0,[NAe,MAe]))])),wre=new uat("OUT_B_C",4,Xie,are,Yie,Uie,Ast(Zx(Fte,1),HKt,21,0,[_Z(OAe,Ast(Zx(ZAe,1),OWt,93,0,[NAe,AAe])),_Z(OAe,Ast(Zx(ZAe,1),OWt,93,0,[NAe,AAe,IAe]))])),mre=new uat("OUT_B_R",5,Qie,are,Yie,Yie,Ast(Zx(Fte,1),HKt,21,0,[_Z(OAe,Ast(Zx(ZAe,1),OWt,93,0,[NAe,LAe]))])),kre=new uat("OUT_L_T",6,Qie,are,Zie,Zie,Ast(Zx(Fte,1),HKt,21,0,[_Z(OAe,Ast(Zx(ZAe,1),OWt,93,0,[MAe,BAe,IAe]))])),xre=new uat("OUT_L_C",7,Qie,rre,Uie,Zie,Ast(Zx(Fte,1),HKt,21,0,[_Z(OAe,Ast(Zx(ZAe,1),OWt,93,0,[MAe,PAe])),_Z(OAe,Ast(Zx(ZAe,1),OWt,93,0,[MAe,PAe,IAe]))])),vre=new uat("OUT_L_B",8,Qie,ire,Yie,Zie,Ast(Zx(Fte,1),HKt,21,0,[_Z(OAe,Ast(Zx(ZAe,1),OWt,93,0,[MAe,NAe,IAe]))])),Tre=new uat("OUT_R_T",9,Vie,are,Zie,Yie,Ast(Zx(Fte,1),HKt,21,0,[_Z(OAe,Ast(Zx(ZAe,1),OWt,93,0,[LAe,BAe,IAe]))])),Ere=new uat("OUT_R_C",10,Vie,rre,Uie,Yie,Ast(Zx(Fte,1),HKt,21,0,[_Z(OAe,Ast(Zx(ZAe,1),OWt,93,0,[LAe,PAe])),_Z(OAe,Ast(Zx(ZAe,1),OWt,93,0,[LAe,PAe,IAe]))])),_re=new uat("OUT_R_B",11,Vie,ire,Yie,Yie,Ast(Zx(Fte,1),HKt,21,0,[_Z(OAe,Ast(Zx(ZAe,1),OWt,93,0,[LAe,NAe,IAe]))])),pre=new uat("IN_T_L",12,Vie,are,Zie,Zie,Ast(Zx(Fte,1),HKt,21,0,[_Z(DAe,Ast(Zx(ZAe,1),OWt,93,0,[BAe,MAe])),_Z(DAe,Ast(Zx(ZAe,1),OWt,93,0,[BAe,MAe,IAe]))])),gre=new uat("IN_T_C",13,Xie,are,Zie,Uie,Ast(Zx(Fte,1),HKt,21,0,[_Z(DAe,Ast(Zx(ZAe,1),OWt,93,0,[BAe,AAe])),_Z(DAe,Ast(Zx(ZAe,1),OWt,93,0,[BAe,AAe,IAe]))])),bre=new uat("IN_T_R",14,Qie,are,Zie,Yie,Ast(Zx(Fte,1),HKt,21,0,[_Z(DAe,Ast(Zx(ZAe,1),OWt,93,0,[BAe,LAe])),_Z(DAe,Ast(Zx(ZAe,1),OWt,93,0,[BAe,LAe,IAe]))])),fre=new uat("IN_C_L",15,Vie,rre,Uie,Zie,Ast(Zx(Fte,1),HKt,21,0,[_Z(DAe,Ast(Zx(ZAe,1),OWt,93,0,[PAe,MAe])),_Z(DAe,Ast(Zx(ZAe,1),OWt,93,0,[PAe,MAe,IAe]))])),hre=new uat("IN_C_C",16,Xie,rre,Uie,Uie,Ast(Zx(Fte,1),HKt,21,0,[_Z(DAe,Ast(Zx(ZAe,1),OWt,93,0,[PAe,AAe])),_Z(DAe,Ast(Zx(ZAe,1),OWt,93,0,[PAe,AAe,IAe]))])),dre=new uat("IN_C_R",17,Qie,rre,Uie,Yie,Ast(Zx(Fte,1),HKt,21,0,[_Z(DAe,Ast(Zx(ZAe,1),OWt,93,0,[PAe,LAe])),_Z(DAe,Ast(Zx(ZAe,1),OWt,93,0,[PAe,LAe,IAe]))])),ure=new uat("IN_B_L",18,Vie,ire,Yie,Zie,Ast(Zx(Fte,1),HKt,21,0,[_Z(DAe,Ast(Zx(ZAe,1),OWt,93,0,[NAe,MAe])),_Z(DAe,Ast(Zx(ZAe,1),OWt,93,0,[NAe,MAe,IAe]))])),cre=new uat("IN_B_C",19,Xie,ire,Yie,Uie,Ast(Zx(Fte,1),HKt,21,0,[_Z(DAe,Ast(Zx(ZAe,1),OWt,93,0,[NAe,AAe])),_Z(DAe,Ast(Zx(ZAe,1),OWt,93,0,[NAe,AAe,IAe]))])),lre=new uat("IN_B_R",20,Qie,ire,Yie,Yie,Ast(Zx(Fte,1),HKt,21,0,[_Z(DAe,Ast(Zx(ZAe,1),OWt,93,0,[NAe,LAe])),_Z(DAe,Ast(Zx(ZAe,1),OWt,93,0,[NAe,LAe,IAe]))])),Mre=new uat(hQt,21,null,null,null,null,Ast(Zx(Fte,1),HKt,21,0,[]))}function 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Furthermore, full layout of compound graphs with cross-hierarchy edges is supported when the respective option is activated on the top level."),new 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vKt(t,e){var n;return tNe||(tNe=new Pw,eNe=new Pw,pKt(),pKt(),xpt(n=new T0(4),"\t\n\r\r  "),mJ(tNe,fte,n),mJ(eNe,fte,Ojt(n)),xpt(n=new T0(4),pte),mJ(tNe,lte,n),mJ(eNe,lte,Ojt(n)),xpt(n=new T0(4),pte),mJ(tNe,lte,n),mJ(eNe,lte,Ojt(n)),xpt(n=new T0(4),bte),lqt(n,zz(CQ(tNe,lte),117)),mJ(tNe,hte,n),mJ(eNe,hte,Ojt(n)),xpt(n=new T0(4),"-.0:AZ__az··ÀÖØöøıĴľŁňŊžƀǃǍǰǴǵǺȗɐʨʻˁːˑ̀͠͡ͅΆΊΌΌΎΡΣώϐϖϚϚϜϜϞϞϠϠϢϳЁЌЎяёќўҁ҃҆ҐӄӇӈӋӌӐӫӮӵӸӹԱՖՙՙաֆֹֻֽֿֿׁׂ֑֣֡ׄׄאתװײءغـْ٠٩ٰڷںھۀێېۓە۪ۭۨ۰۹ँःअह़्॑॔क़ॣ०९ঁঃঅঌএঐওনপরললশহ়়াৄেৈো্ৗৗড়ঢ়য়ৣ০ৱਂਂਅਊਏਐਓਨਪਰਲਲ਼ਵਸ਼ਸਹ਼਼ਾੂੇੈੋ੍ਖ਼ੜਫ਼ਫ਼੦ੴઁઃઅઋઍઍએઑઓનપરલળવહ઼ૅેૉો્ૠૠ૦૯ଁଃଅଌଏଐଓନପରଲଳଶହ଼ୃେୈୋ୍ୖୗଡ଼ଢ଼ୟୡ୦୯ஂஃஅஊஎஐஒகஙசஜஜஞடணதநபமவஷஹாூெைொ்ௗௗ௧௯ఁఃఅఌఎఐఒనపళవహాౄెైొ్ౕౖౠౡ౦౯ಂಃಅಌಎಐಒನಪಳವಹಾೄೆೈೊ್ೕೖೞೞೠೡ೦೯ംഃഅഌഎഐഒനപഹാൃെൈൊ്ൗൗൠൡ൦൯กฮะฺเ๎๐๙ກຂຄຄງຈຊຊຍຍດທນຟມຣລລວວສຫອຮະູົຽເໄໆໆ່ໍ໐໙༘༙༠༩༹༹༵༵༷༷༾ཇཉཀྵ྄ཱ྆ྋྐྕྗྗྙྭྱྷྐྵྐྵႠჅაჶᄀᄀᄂᄃᄅᄇᄉᄉᄋᄌᄎᄒᄼᄼᄾᄾᅀᅀᅌᅌᅎᅎᅐᅐᅔᅕᅙᅙᅟᅡᅣᅣᅥᅥᅧᅧᅩᅩᅭᅮᅲᅳᅵᅵᆞᆞᆨᆨᆫᆫᆮᆯᆷᆸᆺᆺᆼᇂᇫᇫᇰᇰᇹᇹḀẛẠỹἀἕἘἝἠὅὈὍὐὗὙὙὛὛὝὝὟώᾀᾴᾶᾼιιῂῄῆῌῐΐῖΊῠῬῲῴῶῼ⃐⃜⃡⃡ΩΩKÅ℮℮ↀↂ々々〇〇〡〯〱〵ぁゔ゙゚ゝゞァヺーヾㄅㄬ一龥가힣"),mJ(tNe,dte,n),mJ(eNe,dte,Ojt(n)),xpt(n=new T0(4),bte),QPt(n,95,95),QPt(n,58,58),mJ(tNe,gte,n),mJ(eNe,gte,Ojt(n))),zz(CQ(e?tNe:eNe,t),136)}function xKt(t){XDt(t.a,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"anySimpleType"])),XDt(t.b,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"anyType",z8t,$8t])),XDt(zz(Wet(XX(t.b),0),34),j8t,Ast(Zx(Vee,1),lWt,2,6,[z8t,v9t,n7t,":mixed"])),XDt(zz(Wet(XX(t.b),1),34),j8t,Ast(Zx(Vee,1),lWt,2,6,[z8t,v9t,C9t,A9t,n7t,":1",F9t,"lax"])),XDt(zz(Wet(XX(t.b),2),34),j8t,Ast(Zx(Vee,1),lWt,2,6,[z8t,y9t,C9t,A9t,n7t,":2",F9t,"lax"])),XDt(t.c,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"anyURI",T9t,x9t])),XDt(t.d,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"base64Binary",T9t,x9t])),XDt(t.e,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,OKt,T9t,x9t])),XDt(t.f,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"boolean:Object",J8t,OKt])),XDt(t.g,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,S8t])),XDt(t.i,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"byte:Object",J8t,S8t])),XDt(t.j,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"date",T9t,x9t])),XDt(t.k,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"dateTime",T9t,x9t])),XDt(t.n,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"decimal",T9t,x9t])),XDt(t.o,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,M8t,T9t,x9t])),XDt(t.p,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"double:Object",J8t,M8t])),XDt(t.q,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"duration",T9t,x9t])),XDt(t.s,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"ENTITIES",J8t,R9t,$9t,"1"])),XDt(t.r,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,R9t,k9t,j9t])),XDt(t.t,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,j9t,J8t,z9t])),XDt(t.u,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,I8t,T9t,x9t])),XDt(t.v,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"float:Object",J8t,I8t])),XDt(t.w,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"gDay",T9t,x9t])),XDt(t.B,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"gMonth",T9t,x9t])),XDt(t.A,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"gMonthDay",T9t,x9t])),XDt(t.C,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"gYear",T9t,x9t])),XDt(t.D,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"gYearMonth",T9t,x9t])),XDt(t.F,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"hexBinary",T9t,x9t])),XDt(t.G,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"ID",J8t,z9t])),XDt(t.H,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"IDREF",J8t,z9t])),XDt(t.J,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"IDREFS",J8t,q9t,$9t,"1"])),XDt(t.I,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,q9t,k9t,"IDREF"])),XDt(t.K,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,L8t])),XDt(t.M,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,H9t])),XDt(t.L,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"int:Object",J8t,L8t])),XDt(t.P,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"language",J8t,Z9t,U9t,Y9t])),XDt(t.Q,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,D8t])),XDt(t.R,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"long:Object",J8t,D8t])),XDt(t.S,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"Name",J8t,Z9t,U9t,G9t])),XDt(t.T,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,z9t,J8t,"Name",U9t,K9t])),XDt(t.U,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"negativeInteger",J8t,W9t,X9t,"-1"])),XDt(t.V,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,V9t,J8t,Z9t,U9t,"\\c+"])),XDt(t.X,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"NMTOKENS",J8t,Q9t,$9t,"1"])),XDt(t.W,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,Q9t,k9t,V9t])),XDt(t.Y,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,J9t,J8t,H9t,tte,"0"])),XDt(t.Z,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,W9t,J8t,H9t,X9t,"0"])),XDt(t.$,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,ete,J8t,PKt,T9t,"replace"])),XDt(t._,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"NOTATION",T9t,x9t])),XDt(t.ab,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"positiveInteger",J8t,J9t,tte,"1"])),XDt(t.bb,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"processingInstruction_._type",z8t,"empty"])),XDt(zz(Wet(XX(t.bb),0),34),j8t,Ast(Zx(Vee,1),lWt,2,6,[z8t,w9t,n7t,"data"])),XDt(zz(Wet(XX(t.bb),1),34),j8t,Ast(Zx(Vee,1),lWt,2,6,[z8t,w9t,n7t,Q6t])),XDt(t.cb,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"QName",T9t,x9t])),XDt(t.db,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,O8t])),XDt(t.eb,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"short:Object",J8t,O8t])),XDt(t.fb,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"simpleAnyType",z8t,b9t])),XDt(zz(Wet(XX(t.fb),0),34),j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,":3",z8t,b9t])),XDt(zz(Wet(XX(t.fb),1),34),j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,":4",z8t,b9t])),XDt(zz(Wet(XX(t.fb),2),18),j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,":5",z8t,b9t])),XDt(t.gb,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,PKt,T9t,"preserve"])),XDt(t.hb,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"time",T9t,x9t])),XDt(t.ib,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,Z9t,J8t,ete,T9t,x9t])),XDt(t.jb,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,nte,X9t,"255",tte,"0"])),XDt(t.kb,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"unsignedByte:Object",J8t,nte])),XDt(t.lb,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,ite,X9t,"4294967295",tte,"0"])),XDt(t.mb,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"unsignedInt:Object",J8t,ite])),XDt(t.nb,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"unsignedLong",J8t,J9t,X9t,rte,tte,"0"])),XDt(t.ob,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,ate,X9t,"65535",tte,"0"])),XDt(t.pb,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"unsignedShort:Object",J8t,ate])),XDt(t.qb,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"",z8t,$8t])),XDt(zz(Wet(XX(t.qb),0),34),j8t,Ast(Zx(Vee,1),lWt,2,6,[z8t,v9t,n7t,":mixed"])),XDt(zz(Wet(XX(t.qb),1),18),j8t,Ast(Zx(Vee,1),lWt,2,6,[z8t,w9t,n7t,"xmlns:prefix"])),XDt(zz(Wet(XX(t.qb),2),18),j8t,Ast(Zx(Vee,1),lWt,2,6,[z8t,w9t,n7t,"xsi:schemaLocation"])),XDt(zz(Wet(XX(t.qb),3),34),j8t,Ast(Zx(Vee,1),lWt,2,6,[z8t,m9t,n7t,"cDATA",_9t,E9t])),XDt(zz(Wet(XX(t.qb),4),34),j8t,Ast(Zx(Vee,1),lWt,2,6,[z8t,m9t,n7t,"comment",_9t,E9t])),XDt(zz(Wet(XX(t.qb),5),18),j8t,Ast(Zx(Vee,1),lWt,2,6,[z8t,m9t,n7t,ote,_9t,E9t])),XDt(zz(Wet(XX(t.qb),6),34),j8t,Ast(Zx(Vee,1),lWt,2,6,[z8t,m9t,n7t,L6t,_9t,E9t]))}function kKt(t){return mR("_UI_EMFDiagnostic_marker",t)?"EMF Problem":mR("_UI_CircularContainment_diagnostic",t)?"An object may not circularly contain itself":mR(p7t,t)?"Wrong character.":mR(b7t,t)?"Invalid reference number.":mR(w7t,t)?"A character is required after \\.":mR(y7t,t)?"'?' is not expected.  '(?:' or '(?=' or '(?!' or '(?<' or '(?#' or '(?>'?":mR(m7t,t)?"'(?<' or '(?<!' is expected.":mR(v7t,t)?"A comment is not terminated.":mR(x7t,t)?"')' is expected.":mR(k7t,t)?"Unexpected end of the pattern in a modifier group.":mR(_7t,t)?"':' is expected.":mR(E7t,t)?"Unexpected end of the pattern in a conditional group.":mR(T7t,t)?"A back reference or an anchor or a lookahead or a look-behind is expected in a conditional pattern.":mR(C7t,t)?"There are more than three choices in a conditional group.":mR(S7t,t)?"A character in U+0040-U+005f must follow \\c.":mR(A7t,t)?"A '{' is required before a character category.":mR(M7t,t)?"A property name is not closed by '}'.":mR(I7t,t)?"Unexpected meta character.":mR(L7t,t)?"Unknown property.":mR(D7t,t)?"A POSIX character class must be closed by ':]'.":mR(O7t,t)?"Unexpected end of the pattern in a character class.":mR(N7t,t)?"Unknown name for a POSIX character class.":mR("parser.cc.4",t)?"'-' is invalid here.":mR(P7t,t)?"']' is expected.":mR(B7t,t)?"'[' is invalid in a character class.  Write '\\['.":mR(F7t,t)?"']' is invalid in a character class.  Write '\\]'.":mR(R7t,t)?"'-' is an invalid character range. Write '\\-'.":mR($7t,t)?"'[' is expected.":mR(j7t,t)?"')' or '-[' or '+[' or '&[' is expected.":mR(z7t,t)?"The range end code point is less than the start code point.":mR(q7t,t)?"Invalid Unicode hex notation.":mR(H7t,t)?"Overflow in a hex notation.":mR(Z7t,t)?"'\\x{' must be closed by '}'.":mR(U7t,t)?"Invalid Unicode code point.":mR(Y7t,t)?"An anchor must not be here.":mR(G7t,t)?"This expression is not supported in the current option setting.":mR(K7t,t)?"Invalid quantifier. A digit is expected.":mR(W7t,t)?"Invalid quantifier. Invalid quantity or a '}' is missing.":mR(X7t,t)?"Invalid quantifier. A digit or '}' is expected.":mR(V7t,t)?"Invalid quantifier. A min quantity must be <= a max quantity.":mR(Q7t,t)?"Invalid quantifier. 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Registry":mR("_UI_InvocationDelegateRegistry_extensionpoint",t)?"Operation Invocation Delegate Factory Registry":mR("_UI_EClassInterfaceNotAbstract_diagnostic",t)?"A class that is an interface must also be abstract":mR("_UI_EClassNoCircularSuperTypes_diagnostic",t)?"A class may not be a super type of itself":mR("_UI_EClassNotWellFormedMapEntryNoInstanceClassName_diagnostic",t)?"A class that inherits from a map entry class must have instance class name 'java.util.Map$Entry'":mR("_UI_EReferenceOppositeOfOppositeInconsistent_diagnostic",t)?"The opposite of the opposite may not be a reference different from this one":mR("_UI_EReferenceOppositeNotFeatureOfType_diagnostic",t)?"The opposite must be a feature of the reference's type":mR("_UI_EReferenceTransientOppositeNotTransient_diagnostic",t)?"The opposite of a transient reference must be transient if it is proxy resolving":mR("_UI_EReferenceOppositeBothContainment_diagnostic",t)?"The opposite of a containment reference must not be a containment reference":mR("_UI_EReferenceConsistentUnique_diagnostic",t)?"A containment or bidirectional reference must be unique if its upper bound is different from 1":mR("_UI_ETypedElementNoType_diagnostic",t)?"The typed element must have a type":mR("_UI_EAttributeNoDataType_diagnostic",t)?"The generic attribute type must not refer to a class":mR("_UI_EReferenceNoClass_diagnostic",t)?"The generic reference type must not refer to a data type":mR("_UI_EGenericTypeNoTypeParameterAndClassifier_diagnostic",t)?"A generic type can't refer to both a type parameter and a classifier":mR("_UI_EGenericTypeNoClass_diagnostic",t)?"A generic super type must refer to a class":mR("_UI_EGenericTypeNoTypeParameterOrClassifier_diagnostic",t)?"A generic type in this context must refer to a classifier or a type parameter":mR("_UI_EGenericTypeBoundsOnlyForTypeArgument_diagnostic",t)?"A generic type may have bounds only when used as a type 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Rw,h8((!e.d&&(e.d=new DO(WLe,e,1)),e.d),n),jIt(zz(Wet(XX(t.k),0),34),e,"key",Hte,!1,!1,!0,!1),cat(zz(Wet(XX(t.k),1),34),t.s,E6t,null,0,1,Hte,!1,!1,!0,!1,!0,!1),pW(t.o,fTe,"IProperty",!0),pW(t.s,Dte,"PropertyValue",!0),Nlt(t,x6t))}function 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processing",D1t="org.eclipse.elk.alg.layered.intermediate.compaction",O1t="org.eclipse.elk.alg.layered.intermediate.greedyswitch",N1t="org.eclipse.elk.alg.layered.p3order.counting",P1t={225:1},B1t="org.eclipse.elk.alg.layered.intermediate.loops",F1t="org.eclipse.elk.alg.layered.intermediate.loops.ordering",R1t="org.eclipse.elk.alg.layered.intermediate.loops.routing",$1t="org.eclipse.elk.alg.layered.intermediate.preserveorder",j1t="org.eclipse.elk.alg.layered.intermediate.wrapping",z1t="org.eclipse.elk.alg.layered.options",q1t="INTERACTIVE",H1t="DEPTH_FIRST",Z1t="EDGE_LENGTH",U1t="SELF_LOOPS",Y1t="firstTryWithInitialOrder",G1t="org.eclipse.elk.layered.directionCongruency",K1t="org.eclipse.elk.layered.feedbackEdges",W1t="org.eclipse.elk.layered.interactiveReferencePoint",X1t="org.eclipse.elk.layered.mergeEdges",V1t="org.eclipse.elk.layered.mergeHierarchyEdges",Q1t="org.eclipse.elk.layered.allowNonFlowPortsToSwitchSides",J1t="org.eclipse.elk.layered.portSortingStrategy",t0t="org.eclipse.elk.layered.thoroughness",e0t="org.eclipse.elk.layered.unnecessaryBendpoints",n0t="org.eclipse.elk.layered.generatePositionAndLayerIds",i0t="org.eclipse.elk.layered.cycleBreaking.strategy",r0t="org.eclipse.elk.layered.layering.strategy",a0t="org.eclipse.elk.layered.layering.layerConstraint",o0t="org.eclipse.elk.layered.layering.layerChoiceConstraint",s0t="org.eclipse.elk.layered.layering.layerId",c0t="org.eclipse.elk.layered.layering.minWidth.upperBoundOnWidth",u0t="org.eclipse.elk.layered.layering.minWidth.upperLayerEstimationScalingFactor",l0t="org.eclipse.elk.layered.layering.nodePromotion.strategy",h0t="org.eclipse.elk.layered.layering.nodePromotion.maxIterations",f0t="org.eclipse.elk.layered.layering.coffmanGraham.layerBound",d0t="org.eclipse.elk.layered.crossingMinimization.strategy",g0t="org.eclipse.elk.layered.crossingMinimization.forceNodeModelOrder",p0t="org.eclipse.elk.layered.crossingMinimization.hierarchicalSweepiness",b0t="org.eclipse.elk.layered.crossingMinimization.semiInteractive",w0t="org.eclipse.elk.layered.crossingMinimization.positionChoiceConstraint",y0t="org.eclipse.elk.layered.crossingMinimization.positionId",m0t="org.eclipse.elk.layered.crossingMinimization.greedySwitch.activationThreshold",v0t="org.eclipse.elk.layered.crossingMinimization.greedySwitch.type",x0t="org.eclipse.elk.layered.crossingMinimization.greedySwitchHierarchical.type",k0t="org.eclipse.elk.layered.nodePlacement.strategy",_0t="org.eclipse.elk.layered.nodePlacement.favorStraightEdges",E0t="org.eclipse.elk.layered.nodePlacement.bk.edgeStraightening",T0t="org.eclipse.elk.layered.nodePlacement.bk.fixedAlignment",C0t="org.eclipse.elk.layered.nodePlacement.linearSegments.deflectionDampening",S0t="org.eclipse.elk.layered.nodePlacement.networkSimplex.nodeFlexibility",A0t="org.eclipse.elk.layered.nodePlacement.networkSimplex.nodeFlexibility.default",M0t="org.eclipse.elk.layered.edgeRouting.selfLoopDistribution",I0t="org.eclipse.elk.layered.edgeRouting.selfLoopOrdering",L0t="org.eclipse.elk.layered.edgeRouting.splines.mode",D0t="org.eclipse.elk.layered.edgeRouting.splines.sloppy.layerSpacingFactor",O0t="org.eclipse.elk.layered.edgeRouting.polyline.slopedEdgeZoneWidth",N0t="org.eclipse.elk.layered.spacing.baseValue",P0t="org.eclipse.elk.layered.spacing.edgeNodeBetweenLayers",B0t="org.eclipse.elk.layered.spacing.edgeEdgeBetweenLayers",F0t="org.eclipse.elk.layered.spacing.nodeNodeBetweenLayers",R0t="org.eclipse.elk.layered.priority.direction",$0t="org.eclipse.elk.layered.priority.shortness",j0t="org.eclipse.elk.layered.priority.straightness",z0t="org.eclipse.elk.layered.compaction.connectedComponents",q0t="org.eclipse.elk.layered.compaction.postCompaction.strategy",H0t="org.eclipse.elk.layered.compaction.postCompaction.constraints",Z0t="org.eclipse.elk.layered.highDegreeNodes.treatment",U0t="org.eclipse.elk.layered.highDegreeNodes.threshold",Y0t="org.eclipse.elk.layered.highDegreeNodes.treeHeight",G0t="org.eclipse.elk.layered.wrapping.strategy",K0t="org.eclipse.elk.layered.wrapping.additionalEdgeSpacing",W0t="org.eclipse.elk.layered.wrapping.correctionFactor",X0t="org.eclipse.elk.layered.wrapping.cutting.strategy",V0t="org.eclipse.elk.layered.wrapping.cutting.cuts",Q0t="org.eclipse.elk.layered.wrapping.cutting.msd.freedom",J0t="org.eclipse.elk.layered.wrapping.validify.strategy",t2t="org.eclipse.elk.layered.wrapping.validify.forbiddenIndices",e2t="org.eclipse.elk.layered.wrapping.multiEdge.improveCuts",n2t="org.eclipse.elk.layered.wrapping.multiEdge.distancePenalty",i2t="org.eclipse.elk.layered.wrapping.multiEdge.improveWrappedEdges",r2t="org.eclipse.elk.layered.edgeLabels.sideSelection",a2t="org.eclipse.elk.layered.edgeLabels.centerLabelPlacementStrategy",o2t="org.eclipse.elk.layered.considerModelOrder.strategy",s2t="org.eclipse.elk.layered.considerModelOrder.noModelOrder",c2t="org.eclipse.elk.layered.considerModelOrder.components",u2t="org.eclipse.elk.layered.considerModelOrder.longEdgeStrategy",l2t="org.eclipse.elk.layered.considerModelOrder.crossingCounterNodeInfluence",h2t="org.eclipse.elk.layered.considerModelOrder.crossingCounterPortInfluence",f2t="layering",d2t="layering.minWidth",g2t="layering.nodePromotion",p2t="crossingMinimization",b2t="org.eclipse.elk.hierarchyHandling",w2t="crossingMinimization.greedySwitch",y2t="nodePlacement",m2t="nodePlacement.bk",v2t="edgeRouting",x2t="org.eclipse.elk.edgeRouting",k2t="spacing",_2t="priority",E2t="compaction",T2t="compaction.postCompaction",C2t="Specifies whether and how post-process compaction is applied.",S2t="highDegreeNodes",A2t="wrapping",M2t="wrapping.cutting",I2t="wrapping.validify",L2t="wrapping.multiEdge",D2t="edgeLabels",O2t="considerModelOrder",N2t="org.eclipse.elk.spacing.commentComment",P2t="org.eclipse.elk.spacing.commentNode",B2t="org.eclipse.elk.spacing.edgeEdge",F2t="org.eclipse.elk.spacing.edgeNode",R2t="org.eclipse.elk.spacing.labelLabel",$2t="org.eclipse.elk.spacing.labelPortHorizontal",j2t="org.eclipse.elk.spacing.labelPortVertical",z2t="org.eclipse.elk.spacing.labelNode",q2t="org.eclipse.elk.spacing.nodeSelfLoop",H2t="org.eclipse.elk.spacing.portPort",Z2t="org.eclipse.elk.spacing.individual",U2t="org.eclipse.elk.port.borderOffset",Y2t="org.eclipse.elk.noLayout",G2t="org.eclipse.elk.port.side",K2t="org.eclipse.elk.debugMode",W2t="org.eclipse.elk.alignment",X2t="org.eclipse.elk.insideSelfLoops.activate",V2t="org.eclipse.elk.insideSelfLoops.yo",Q2t="org.eclipse.elk.nodeSize.fixedGraphSize",J2t="org.eclipse.elk.direction",t3t="org.eclipse.elk.nodeLabels.padding",e3t="org.eclipse.elk.portLabels.nextToPortIfPossible",n3t="org.eclipse.elk.portLabels.treatAsGroup",i3t="org.eclipse.elk.portAlignment.default",r3t="org.eclipse.elk.portAlignment.north",a3t="org.eclipse.elk.portAlignment.south",o3t="org.eclipse.elk.portAlignment.west",s3t="org.eclipse.elk.portAlignment.east",c3t="org.eclipse.elk.contentAlignment",u3t="org.eclipse.elk.junctionPoints",l3t="org.eclipse.elk.edgeLabels.placement",h3t="org.eclipse.elk.port.index",f3t="org.eclipse.elk.commentBox",d3t="org.eclipse.elk.hypernode",g3t="org.eclipse.elk.port.anchor",p3t="org.eclipse.elk.partitioning.activate",b3t="org.eclipse.elk.partitioning.partition",w3t="org.eclipse.elk.position",y3t="org.eclipse.elk.margins",m3t="org.eclipse.elk.spacing.portsSurrounding",v3t="org.eclipse.elk.interactiveLayout",x3t="org.eclipse.elk.core.util",k3t={3:1,4:1,5:1,593:1},_3t="NETWORK_SIMPLEX",E3t={123:1,51:1},T3t="org.eclipse.elk.alg.layered.p1cycles",C3t="org.eclipse.elk.alg.layered.p2layers",S3t={402:1,225:1},A3t={832:1,3:1,4:1},M3t="org.eclipse.elk.alg.layered.p3order",I3t="org.eclipse.elk.alg.layered.p4nodes",L3t={3:1,4:1,5:1,840:1},D3t=1e-5,O3t="org.eclipse.elk.alg.layered.p4nodes.bk",N3t="org.eclipse.elk.alg.layered.p5edges",P3t="org.eclipse.elk.alg.layered.p5edges.orthogonal",B3t="org.eclipse.elk.alg.layered.p5edges.orthogonal.direction",F3t=1e-6,R3t="org.eclipse.elk.alg.layered.p5edges.splines",$3t=.09999999999999998,j3t=1e-8,z3t=4.71238898038469,q3t=3.141592653589793,H3t="org.eclipse.elk.alg.mrtree",Z3t="org.eclipse.elk.alg.mrtree.graph",U3t="org.eclipse.elk.alg.mrtree.intermediate",Y3t="Set neighbors in level",G3t="DESCENDANTS",K3t="org.eclipse.elk.mrtree.weighting",W3t="org.eclipse.elk.mrtree.searchOrder",X3t="org.eclipse.elk.alg.mrtree.options",V3t="org.eclipse.elk.mrtree",Q3t="org.eclipse.elk.tree",J3t="org.eclipse.elk.alg.radial",t4t=6.283185307179586,e4t=5e-324,n4t="org.eclipse.elk.alg.radial.intermediate",i4t="org.eclipse.elk.alg.radial.intermediate.compaction",r4t={3:1,4:1,5:1,106:1},a4t="org.eclipse.elk.alg.radial.intermediate.optimization",o4t="No implementation is available for the layout option ",s4t="org.eclipse.elk.alg.radial.options",c4t="org.eclipse.elk.radial.orderId",u4t="org.eclipse.elk.radial.radius",l4t="org.eclipse.elk.radial.compactor",h4t="org.eclipse.elk.radial.compactionStepSize",f4t="org.eclipse.elk.radial.sorter",d4t="org.eclipse.elk.radial.wedgeCriteria",g4t="org.eclipse.elk.radial.optimizationCriteria",p4t="org.eclipse.elk.radial",b4t="org.eclipse.elk.alg.radial.p1position.wedge",w4t="org.eclipse.elk.alg.radial.sorting",y4t=5.497787143782138,m4t=3.9269908169872414,v4t=2.356194490192345,x4t="org.eclipse.elk.alg.rectpacking",k4t="org.eclipse.elk.alg.rectpacking.firstiteration",_4t="org.eclipse.elk.alg.rectpacking.options",E4t="org.eclipse.elk.rectpacking.optimizationGoal",T4t="org.eclipse.elk.rectpacking.lastPlaceShift",C4t="org.eclipse.elk.rectpacking.currentPosition",S4t="org.eclipse.elk.rectpacking.desiredPosition",A4t="org.eclipse.elk.rectpacking.onlyFirstIteration",M4t="org.eclipse.elk.rectpacking.rowCompaction",I4t="org.eclipse.elk.rectpacking.expandToAspectRatio",L4t="org.eclipse.elk.rectpacking.targetWidth",D4t="org.eclipse.elk.expandNodes",O4t="org.eclipse.elk.rectpacking",N4t="org.eclipse.elk.alg.rectpacking.util",P4t="No implementation available for ",B4t="org.eclipse.elk.alg.spore",F4t="org.eclipse.elk.alg.spore.options",R4t="org.eclipse.elk.sporeCompaction",$4t="org.eclipse.elk.underlyingLayoutAlgorithm",j4t="org.eclipse.elk.processingOrder.treeConstruction",z4t="org.eclipse.elk.processingOrder.spanningTreeCostFunction",q4t="org.eclipse.elk.processingOrder.preferredRoot",H4t="org.eclipse.elk.processingOrder.rootSelection",Z4t="org.eclipse.elk.structure.structureExtractionStrategy",U4t="org.eclipse.elk.compaction.compactionStrategy",Y4t="org.eclipse.elk.compaction.orthogonal",G4t="org.eclipse.elk.overlapRemoval.maxIterations",K4t="org.eclipse.elk.overlapRemoval.runScanline",W4t="processingOrder",X4t="overlapRemoval",V4t="org.eclipse.elk.sporeOverlap",Q4t="org.eclipse.elk.alg.spore.p1structure",J4t="org.eclipse.elk.alg.spore.p2processingorder",t5t="org.eclipse.elk.alg.spore.p3execution",e5t="Invalid index: ",n5t="org.eclipse.elk.core.alg",i5t={331:1},r5t={288:1},a5t="Make sure its type is registered with the ",o5t=" utility class.",s5t="true",c5t="false",u5t="Couldn't clone property '",l5t=.05,h5t="org.eclipse.elk.core.options",f5t=1.2999999523162842,d5t="org.eclipse.elk.box",g5t="org.eclipse.elk.box.packingMode",p5t="org.eclipse.elk.algorithm",b5t="org.eclipse.elk.resolvedAlgorithm",w5t="org.eclipse.elk.bendPoints",y5t="org.eclipse.elk.labelManager",m5t="org.eclipse.elk.scaleFactor",v5t="org.eclipse.elk.animate",x5t="org.eclipse.elk.animTimeFactor",k5t="org.eclipse.elk.layoutAncestors",_5t="org.eclipse.elk.maxAnimTime",E5t="org.eclipse.elk.minAnimTime",T5t="org.eclipse.elk.progressBar",C5t="org.eclipse.elk.validateGraph",S5t="org.eclipse.elk.validateOptions",A5t="org.eclipse.elk.zoomToFit",M5t="org.eclipse.elk.font.name",I5t="org.eclipse.elk.font.size",L5t="org.eclipse.elk.edge.type",D5t="partitioning",O5t="nodeLabels",N5t="portAlignment",P5t="nodeSize",B5t="port",F5t="portLabels",R5t="insideSelfLoops",$5t="org.eclipse.elk.fixed",j5t="org.eclipse.elk.random",z5t="port must have a parent node to calculate the port side",q5t="The edge needs to have exactly one edge section. Found: ",H5t="org.eclipse.elk.core.util.adapters",Z5t="org.eclipse.emf.ecore",U5t="org.eclipse.elk.graph",Y5t="EMapPropertyHolder",G5t="ElkBendPoint",K5t="ElkGraphElement",W5t="ElkConnectableShape",X5t="ElkEdge",V5t="ElkEdgeSection",Q5t="EModelElement",J5t="ENamedElement",t6t="ElkLabel",e6t="ElkNode",n6t="ElkPort",i6t={92:1,90:1},r6t="org.eclipse.emf.common.notify.impl",a6t="The feature '",o6t="' is not a valid changeable feature",s6t="Expecting null",c6t="' is not a valid feature",u6t="The feature ID",l6t=" is not a valid feature ID",h6t=32768,f6t={105:1,92:1,90:1,56:1,49:1,97:1},d6t="org.eclipse.emf.ecore.impl",g6t="org.eclipse.elk.graph.impl",p6t="Recursive containment not allowed for ",b6t="The datatype '",w6t="' is not a valid classifier",y6t="The value '",m6t={190:1,3:1,4:1},v6t="The class '",x6t="http://www.eclipse.org/elk/ElkGraph",k6t=1024,_6t="property",E6t="value",T6t="source",C6t="properties",S6t="identifier",A6t="height",M6t="width",I6t="parent",L6t="text",D6t="children",O6t="hierarchical",N6t="sources",P6t="targets",B6t="sections",F6t="bendPoints",R6t="outgoingShape",$6t="incomingShape",j6t="outgoingSections",z6t="incomingSections",q6t="org.eclipse.emf.common.util",H6t="Severe implementation error in the Json to ElkGraph importer.",Z6t="id",U6t="org.eclipse.elk.graph.json",Y6t="Unhandled parameter types: ",G6t="startPoint",K6t="An edge must have at least one source and one target (edge id: '",W6t="').",X6t="Referenced edge section does not exist: ",V6t=" (edge id: '",Q6t="target",J6t="sourcePoint",t7t="targetPoint",e7t="group",n7t="name",i7t="connectableShape cannot be null",r7t="edge cannot be null",a7t="Passed edge is not 'simple'.",o7t="org.eclipse.elk.graph.util",s7t="The 'no duplicates' constraint is violated",c7t="targetIndex=",u7t=", size=",l7t="sourceIndex=",h7t={3:1,4:1,20:1,28:1,52:1,14:1,15:1,54:1,67:1,63:1,58:1},f7t={3:1,4:1,20:1,28:1,52:1,14:1,47:1,15:1,54:1,67:1,63:1,58:1,588:1},d7t="logging",g7t="measureExecutionTime",p7t="parser.parse.1",b7t="parser.parse.2",w7t="parser.next.1",y7t="parser.next.2",m7t="parser.next.3",v7t="parser.next.4",x7t="parser.factor.1",k7t="parser.factor.2",_7t="parser.factor.3",E7t="parser.factor.4",T7t="parser.factor.5",C7t="parser.factor.6",S7t="parser.atom.1",A7t="parser.atom.2",M7t="parser.atom.3",I7t="parser.atom.4",L7t="parser.atom.5",D7t="parser.cc.1",O7t="parser.cc.2",N7t="parser.cc.3",P7t="parser.cc.5",B7t="parser.cc.6",F7t="parser.cc.7",R7t="parser.cc.8",$7t="parser.ope.1",j7t="parser.ope.2",z7t="parser.ope.3",q7t="parser.descape.1",H7t="parser.descape.2",Z7t="parser.descape.3",U7t="parser.descape.4",Y7t="parser.descape.5",G7t="parser.process.1",K7t="parser.quantifier.1",W7t="parser.quantifier.2",X7t="parser.quantifier.3",V7t="parser.quantifier.4",Q7t="parser.quantifier.5",J7t="org.eclipse.emf.common.notify",t8t={415:1,672:1},e8t={3:1,4:1,20:1,28:1,52:1,14:1,15:1,67:1,58:1},n8t={366:1,143:1},i8t="index=",r8t={3:1,4:1,5:1,126:1},a8t={3:1,4:1,20:1,28:1,52:1,14:1,15:1,54:1,67:1,58:1},o8t={3:1,6:1,4:1,5:1,192:1},s8t={3:1,4:1,5:1,165:1,367:1},c8t=";/?:@&=+$,",u8t="invalid 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The differences to the non-hierarchical case (see 'greedySwitch.type') are: 1) greedy switch is inactive by default, 3) only the option value set on the node at which hierarchical layout starts is relevant, and 2) if it's activated by the user, it properly addresses hierarchy-crossing edges."),lde),bTe),Mhe),edt(lTe)))),o2(t,x0t,d0t,hde),o2(t,x0t,b2t,fde),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,k0t),y2t),"Node Placement Strategy"),"Strategy for node placement."),Oge),bTe),Lye),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,_0t),y2t),"Favor Straight Edges Over Balancing"),"Favor straight edges over a balanced node placement. The default behavior is determined automatically based on the used 'edgeRouting'. For an orthogonal style it is set to true, for all other styles to false."),gTe),kee),edt(lTe)))),o2(t,_0t,k0t,_ge),o2(t,_0t,k0t,Ege),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,E0t),m2t),"BK Edge Straightening"),"Specifies whether the Brandes Koepf node placer tries to increase the number of straight edges at the expense of diagram size. There is a subtle difference to the 'favorStraightEdges' option, which decides whether a balanced placement of the nodes is desired, or not. In bk terms this means combining the four alignments into a single balanced one, or not. This option on the other hand tries to straighten additional edges during the creation of each of the four alignments."),wge),bTe),Jle),edt(lTe)))),o2(t,E0t,k0t,yge),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,T0t),m2t),"BK Fixed Alignment"),"Tells the BK node placer to use a certain alignment (out of its four) instead of the one producing the smallest height, or the combination of all four."),vge),bTe),she),edt(lTe)))),o2(t,T0t,k0t,xge),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,C0t),"nodePlacement.linearSegments"),"Linear Segments Deflection Dampening"),"Dampens the movement of nodes to keep the diagram from getting too large."),.3),pTe),Aee),edt(lTe)))),o2(t,C0t,k0t,Cge),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,S0t),"nodePlacement.networkSimplex"),"Node Flexibility"),"Aims at shorter and straighter edges. Two configurations are possible: (a) allow ports to move freely on the side they are assigned to (the order is always defined beforehand), (b) additionally allow to enlarge a node wherever it helps. If this option is not configured for a node, the 'nodeFlexibility.default' value is used, which is specified for the node's parent."),bTe),xye),edt(uTe)))),o2(t,S0t,k0t,Lge),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,A0t),"nodePlacement.networkSimplex.nodeFlexibility"),"Node Flexibility Default"),"Default value of the 'nodeFlexibility' option for the children of a hierarchical node."),Mge),bTe),xye),edt(lTe)))),o2(t,A0t,k0t,Ige),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,M0t),v2t),"Self-Loop Distribution"),"Alter the distribution of the loops around the node. It only takes effect for PortConstraints.FREE."),Pde),bTe),tme),edt(uTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,I0t),v2t),"Self-Loop Ordering"),"Alter the ordering of the loops they can either be stacked or sequenced. It only takes effect for PortConstraints.FREE."),Fde),bTe),ame),edt(uTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,L0t),"edgeRouting.splines"),"Spline Routing Mode"),"Specifies the way control points are assembled for each individual edge. CONSERVATIVE ensures that edges are properly routed around the nodes but feels rather orthogonal at times. SLOPPY uses fewer control points to obtain curvier edge routes but may result in edges overlapping nodes."),$de),bTe),lme),edt(lTe)))),o2(t,L0t,x2t,jde),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,D0t),"edgeRouting.splines.sloppy"),"Sloppy Spline Layer Spacing Factor"),"Spacing factor for routing area between layers when using sloppy spline routing."),.2),pTe),Aee),edt(lTe)))),o2(t,D0t,x2t,qde),o2(t,D0t,L0t,Hde),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,O0t),"edgeRouting.polyline"),"Sloped Edge Zone Width"),"Width of the strip to the left and to the right of each layer where the polyline edge router is allowed to refrain from ensuring that edges are routed horizontally. This prevents awkward bend points for nodes that extent almost to the edge of their layer."),2),pTe),Aee),edt(lTe)))),o2(t,O0t,x2t,Ode),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,N0t),k2t),"Spacing Base Value"),"An optional base value for all other layout options of the 'spacing' group. It can be used to conveniently alter the overall 'spaciousness' of the drawing. Whenever an explicit value is set for the other layout options, this base value will have no effect. The base value is not inherited, i.e. it must be set for each hierarchical node."),pTe),Aee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,P0t),k2t),"Edge Node Between Layers Spacing"),"The spacing to be preserved between nodes and edges that are routed next to the node's layer. For the spacing between nodes and edges that cross the node's layer 'spacing.edgeNode' is used."),10),pTe),Aee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,B0t),k2t),"Edge Edge Between Layer Spacing"),"Spacing to be preserved between pairs of edges that are routed between the same pair of layers. Note that 'spacing.edgeEdge' is used for the spacing between pairs of edges crossing the same layer."),10),pTe),Aee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,F0t),k2t),"Node Node Between Layers Spacing"),"The spacing to be preserved between any pair of nodes of two adjacent layers. Note that 'spacing.nodeNode' is used for the spacing between nodes within the layer itself."),20),pTe),Aee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,R0t),_2t),"Direction Priority"),"Defines how important it is to have a certain edge point into the direction of the overall layout. This option is evaluated during the cycle breaking phase."),rft(0)),yTe),Dee),edt(sTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,$0t),_2t),"Shortness Priority"),"Defines how important it is to keep an edge as short as possible. This option is evaluated during the layering phase."),rft(0)),yTe),Dee),edt(sTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,j0t),_2t),"Straightness Priority"),"Defines how important it is to keep an edge straight, i.e. aligned with one of the two axes. This option is evaluated during node placement."),rft(0)),yTe),Dee),edt(sTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,z0t),E2t),FQt),"Tries to further compact components (disconnected sub-graphs)."),!1),gTe),kee),edt(lTe)))),o2(t,z0t,kJt,!0),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,q0t),T2t),"Post Compaction Strategy"),C2t),Vfe),bTe),mhe),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,H0t),T2t),"Post Compaction Constraint Calculation"),C2t),Wfe),bTe),fle),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,Z0t),S2t),"High Degree Node Treatment"),"Makes room around high degree nodes to place leafs and trees."),!1),gTe),kee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,U0t),S2t),"High Degree Node Threshold"),"Whether a node is considered to have a high degree."),rft(16)),yTe),Dee),edt(lTe)))),o2(t,U0t,Z0t,!0),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,Y0t),S2t),"High Degree Node Maximum Tree Height"),"Maximum height of a subtree connected to a high degree node to be moved to separate layers."),rft(5)),yTe),Dee),edt(lTe)))),o2(t,Y0t,Z0t,!0),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,G0t),A2t),"Graph Wrapping Strategy"),"For certain graphs and certain prescribed drawing areas it may be desirable to split the laid out graph into chunks that are placed side by side. The edges that connect different chunks are 'wrapped' around from the end of one chunk to the start of the other chunk. The points between the chunks are referred to as 'cuts'."),dpe),bTe),Cme),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,K0t),A2t),"Additional Wrapped Edges Spacing"),"To visually separate edges that are wrapped from regularly routed edges an additional spacing value can be specified in form of this layout option. The spacing is added to the regular edgeNode spacing."),10),pTe),Aee),edt(lTe)))),o2(t,K0t,G0t,Yge),o2(t,K0t,G0t,Gge),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,W0t),A2t),"Correction Factor for Wrapping"),"At times and for certain types of graphs the executed wrapping may produce results that are consistently biased in the same fashion: either wrapping to often or to rarely. This factor can be used to correct the bias. Internally, it is simply multiplied with the 'aspect ratio' layout option."),1),pTe),Aee),edt(lTe)))),o2(t,W0t,G0t,Wge),o2(t,W0t,G0t,Xge),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,X0t),M2t),"Cutting Strategy"),"The strategy by which the layer indexes are determined at which the layering crumbles into chunks."),ipe),bTe),Ele),edt(lTe)))),o2(t,X0t,G0t,rpe),o2(t,X0t,G0t,ape),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,V0t),M2t),"Manually Specified Cuts"),"Allows the user to specify her own cuts for a certain graph."),mTe),Rte),edt(lTe)))),o2(t,V0t,X0t,Qge),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,Q0t),"wrapping.cutting.msd"),"MSD Freedom"),"The MSD cutting strategy starts with an initial guess on the number of chunks the graph should be split into. The freedom specifies how much the strategy may deviate from this guess. E.g. if an initial number of 3 is computed, a freedom of 1 allows 2, 3, and 4 cuts."),tpe),yTe),Dee),edt(lTe)))),o2(t,Q0t,X0t,epe),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,J0t),I2t),"Validification Strategy"),"When wrapping graphs, one can specify indices that are not allowed as split points. The validification strategy makes sure every computed split point is allowed."),ype),bTe),pme),edt(lTe)))),o2(t,J0t,G0t,mpe),o2(t,J0t,G0t,vpe),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,t2t),I2t),"Valid Indices for Wrapping"),null),mTe),Rte),edt(lTe)))),o2(t,t2t,G0t,ppe),o2(t,t2t,G0t,bpe),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,e2t),L2t),"Improve Cuts"),"For general graphs it is important that not too many edges wrap backwards. Thus a compromise between evenly-distributed cuts and the total number of cut edges is sought."),!0),gTe),kee),edt(lTe)))),o2(t,e2t,G0t,upe),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,n2t),L2t),"Distance Penalty When Improving Cuts"),null),2),pTe),Aee),edt(lTe)))),o2(t,n2t,G0t,spe),o2(t,n2t,e2t,!0),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,i2t),L2t),"Improve Wrapped Edges"),"The initial wrapping is performed in a very simple way. As a consequence, edges that wrap from one chunk to another may be unnecessarily long. Activating this option tries to shorten such edges."),!0),gTe),kee),edt(lTe)))),o2(t,i2t,G0t,hpe),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,r2t),D2t),"Edge Label Side Selection"),"Method to decide on edge label sides."),Lde),bTe),Ule),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,a2t),D2t),"Edge Center Label Placement Strategy"),"Determines in which layer center labels of long edges should be placed."),Mde),bTe),sle),_Z(lTe,Ast(Zx(kTe,1),OWt,175,0,[cTe]))))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,o2t),O2t),"Consider Model Order"),"Preserves the order of nodes and edges in the model file if this does not lead to additional edge crossings. Depending on the strategy this is not always possible since the node and edge order might be conflicting."),ode),bTe),jye),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,s2t),O2t),"No Model Order"),"Set on a node to not set a model order for this node even though it is a real node."),!1),gTe),kee),edt(uTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,c2t),O2t),"Consider Model Order for Components"),"If set to NONE the usual ordering strategy (by cumulative node priority and size of nodes) is used. INSIDE_PORT_SIDES orders the components with external ports only inside the groups with the same port side. FORCE_MODEL_ORDER enforces the mode order on components. This option might produce bad alignments and sub optimal drawings in terms of used area since the ordering should be respected."),Jfe),bTe),mse),edt(lTe)))),o2(t,c2t,kJt,null),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,u2t),O2t),"Long Edge Ordering Strategy"),"Indicates whether long edges are sorted under, over, or equal to nodes that have no connection to a previous layer in a left-to-right or right-to-left layout. Under and over changes to right and left in a vertical layout."),ide),bTe),gye),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,l2t),O2t),"Crossing Counter Node Order Influence"),"Indicates with what percentage (1 for 100%) violations of the node model order are weighted against the crossings e.g. a value of 0.5 means two model order violations are as important as on edge crossing. This allows some edge crossings in favor of preserving the model order. It is advised to set this value to a very small positive value (e.g. 0.001) to have minimal crossing and a optimal node order. Defaults to no influence (0)."),0),pTe),Aee),edt(lTe)))),o2(t,l2t,o2t,null),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,h2t),O2t),"Crossing Counter Port Order Influence"),"Indicates with what percentage (1 for 100%) violations of the port model order are weighted against the crossings e.g. a value of 0.5 means two model order violations are as important as on edge crossing. This allows some edge crossings in favor of preserving the model order. It is advised to set this value to a very small positive value (e.g. 0.001) to have minimal crossing and a optimal port order. Defaults to no influence (0)."),0),pTe),Aee),edt(lTe)))),o2(t,h2t,o2t,null),mKt((new fh,t))},yG(z1t,"LayeredMetaDataProvider",848),pLt(986,1,VVt,fh),CKt.Qe=function(t){mKt(t)},yG(z1t,"LayeredOptions",986),pLt(987,1,{},Aa),CKt.$e=function(){return new Yy},CKt._e=function(t){},yG(z1t,"LayeredOptions/LayeredFactory",987),pLt(1372,1,{}),CKt.a=0,yG(x3t,"ElkSpacings/AbstractSpacingsBuilder",1372),pLt(779,1372,{},cgt),yG(z1t,"LayeredSpacings/LayeredSpacingsBuilder",779),pLt(313,22,{3:1,35:1,22:1,313:1,246:1,234:1},FS),CKt.Kf=function(){return aOt(this)},CKt.Xf=function(){return aOt(this)};var rye,aye,oye,sye,cye=qnt(z1t,"LayeringStrategy",313,Gte,n8,fj);pLt(378,22,{3:1,35:1,22:1,378:1},RS);var uye,lye,hye,fye,dye,gye=qnt(z1t,"LongEdgeOrderingStrategy",378,Gte,_1,dj);pLt(197,22,{3:1,35:1,22:1,197:1},$S);var pye,bye,wye,yye,mye,vye,xye=qnt(z1t,"NodeFlexibility",197,Gte,x3,gj);pLt(315,22,{3:1,35:1,22:1,315:1,246:1,234:1},jS),CKt.Kf=function(){return FLt(this)},CKt.Xf=function(){return 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If the root node is set to `INHERIT` (or not set at all), the default behavior is `SEPARATE_CHILDREN`."),ECe),bTe),CAe),_Z(lTe,Ast(Zx(kTe,1),OWt,175,0,[uTe]))))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,VQt),""),"Padding"),"The padding to be left to a parent element's border when placing child elements. This can also serve as an output option of a layout algorithm if node size calculation is setup appropriately."),KCe),mTe),$se),_Z(lTe,Ast(Zx(kTe,1),OWt,175,0,[uTe]))))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,_Jt),""),"Interactive"),"Whether the algorithm should be run in interactive mode for the content of a parent node. What this means exactly depends on how the specific algorithm interprets this option. 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Yet, if any unforeseen behavior occurs, this option allows to deactivate the micro layout."),!1),gTe),kee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,EJt),""),"Port Constraints"),"Defines constraints of the position of the ports of a node."),cSe),bTe),oMe),edt(uTe)))),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,w3t),""),"Position"),"The position of a node, port, or label. This is used by the 'Fixed Layout' algorithm to specify a pre-defined position."),mTe),STe),_Z(uTe,Ast(Zx(kTe,1),OWt,175,0,[hTe,cTe]))))),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,yJt),""),"Priority"),"Defines the priority of an object; its meaning depends on the specific layout algorithm and the context where it is used."),yTe),Dee),_Z(uTe,Ast(Zx(kTe,1),OWt,175,0,[sTe]))))),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,xJt),""),"Randomization Seed"),"Seed used for pseudo-random number generators to control the layout algorithm. If the value is 0, the seed shall be determined pseudo-randomly (e.g. from the system time)."),yTe),Dee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,kJt),""),"Separate Connected Components"),"Whether each connected component should be processed separately."),gTe),kee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,u3t),""),"Junction Points"),"This option is not used as option, but as output of the layout algorithms. It is attached to edges and determines the points where junction symbols should be drawn in order to represent hyperedges with orthogonal routing. Whether such points are computed depends on the chosen layout algorithm and edge routing style. The points are put into the vector chain with no specific order."),LCe),mTe),NTe),edt(sTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,f3t),""),"Comment Box"),"Whether the node should be regarded as a comment box instead of a regular node. In that case its placement should be similar to how labels are handled. Any edges incident to a comment box specify to which graph elements the comment is related."),!1),gTe),kee),edt(uTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,d3t),""),"Hypernode"),"Whether the node should be handled as a hypernode."),!1),gTe),kee),edt(uTe)))),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,y5t),""),"Label Manager"),"Label managers can shorten labels upon a layout algorithm's request."),mTe),RNe),_Z(lTe,Ast(Zx(kTe,1),OWt,175,0,[cTe]))))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,y3t),""),"Margins"),"Margins define additional space around the actual bounds of a graph element. For instance, ports or labels being placed on the outside of a node's border might introduce such a margin. The margin is used to guarantee non-overlap of other graph elements with those ports or labels."),OCe),mTe),_se),edt(uTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,Y2t),""),"No Layout"),"No layout is done for the associated element. This is used to mark parts of a diagram to avoid their inclusion in the layout graph, or to mark parts of the layout graph to prevent layout engines from processing them. If you wish to exclude the contents of a compound node from automatic layout, while the node itself is still considered on its own layer, use the 'Fixed Layout' algorithm for that node."),!1),gTe),kee),_Z(uTe,Ast(Zx(kTe,1),OWt,175,0,[sTe,hTe,cTe]))))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,m5t),""),"Scale Factor"),"The scaling factor to be applied to the corresponding node in recursive layout. It causes the corresponding node's size to be adjusted, and its ports and labels to be sized and placed accordingly after the layout of that node has been determined (and before the node itself and its siblings are arranged). The scaling is not reverted afterwards, so the resulting layout graph contains the adjusted size and position data. This option is currently not supported if 'Layout Hierarchy' is set."),1),pTe),Aee),edt(uTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,v5t),""),"Animate"),"Whether the shift from the old layout to the new computed layout shall be animated."),!0),gTe),kee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,x5t),""),"Animation Time Factor"),"Factor for computation of animation time. The higher the value, the longer the animation time. If the value is 0, the resulting time is always equal to the minimum defined by 'Minimal Animation Time'."),rft(100)),yTe),Dee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,k5t),""),"Layout Ancestors"),"Whether the hierarchy levels on the path from the selected element to the root of the diagram shall be included in the layout process."),!1),gTe),kee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,_5t),""),"Maximal Animation Time"),"The maximal time for animations, in milliseconds."),rft(4e3)),yTe),Dee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,E5t),""),"Minimal Animation Time"),"The minimal time for animations, in milliseconds."),rft(400)),yTe),Dee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,T5t),""),"Progress Bar"),"Whether a progress bar shall be displayed during layout computations."),!1),gTe),kee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,C5t),""),"Validate Graph"),"Whether the graph shall be validated before any layout algorithm is applied. If this option is enabled and at least one error is found, the layout process is aborted and a message is shown to the user."),!1),gTe),kee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,S5t),""),"Validate Options"),"Whether layout options shall be validated before any layout algorithm is applied. If this option is enabled and at least one error is found, the layout process is aborted and a message is shown to the user."),!0),gTe),kee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,A5t),""),"Zoom to Fit"),"Whether the zoom level shall be set to view the whole diagram after layout."),!1),gTe),kee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,g5t),"box"),"Box Layout Mode"),"Configures the packing mode used by the {@link BoxLayoutProvider}. If SIMPLE is not required (neither priorities are used nor the interactive mode), GROUP_DEC can improve the packing and decrease the area. GROUP_MIXED and GROUP_INC may, in very specific scenarios, work better."),cCe),bTe),aIe),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,N2t),k2t),"Comment Comment Spacing"),"Spacing to be preserved between a comment box and other comment boxes connected to the same node. The space left between comment boxes of different nodes is controlled by the node-node spacing."),10),pTe),Aee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,P2t),k2t),"Comment Node Spacing"),"Spacing to be preserved between a node and its connected comment boxes. The space left between a node and the comments of another node is controlled by the node-node spacing."),10),pTe),Aee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,KQt),k2t),"Components Spacing"),"Spacing to be preserved between pairs of connected components. This option is only relevant if 'separateConnectedComponents' is activated."),20),pTe),Aee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,B2t),k2t),"Edge Spacing"),"Spacing to be preserved between any two edges. Note that while this can somewhat easily be satisfied for the segments of orthogonally drawn edges, it is harder for general polylines or splines."),10),pTe),Aee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,vJt),k2t),"Edge Label Spacing"),"The minimal distance to be preserved between a label and the edge it is associated with. Note that the placement of a label is influenced by the 'edgelabels.placement' option."),2),pTe),Aee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,F2t),k2t),"Edge Node Spacing"),"Spacing to be preserved between nodes and edges."),10),pTe),Aee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,R2t),k2t),"Label Spacing"),"Determines the amount of space to be left between two labels of the same graph element."),0),pTe),Aee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,z2t),k2t),"Label Node Spacing"),"Spacing to be preserved between labels and the border of node they are associated with. Note that the placement of a label is influenced by the 'nodelabels.placement' option."),5),pTe),Aee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,$2t),k2t),"Horizontal spacing between Label and Port"),"Horizontal spacing to be preserved between labels and the ports they are associated with. Note that the placement of a label is influenced by the 'portlabels.placement' option."),1),pTe),Aee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,j2t),k2t),"Vertical spacing between Label and Port"),"Vertical spacing to be preserved between labels and the ports they are associated with. Note that the placement of a label is influenced by the 'portlabels.placement' option."),1),pTe),Aee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,mJt),k2t),"Node Spacing"),"The minimal distance to be preserved between each two nodes."),20),pTe),Aee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,q2t),k2t),"Node Self Loop Spacing"),"Spacing to be preserved between a node and its self loops."),10),pTe),Aee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,H2t),k2t),"Port Spacing"),"Spacing between pairs of ports of the same node."),10),pTe),Aee),_Z(lTe,Ast(Zx(kTe,1),OWt,175,0,[uTe]))))),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,Z2t),k2t),"Individual Spacing"),"Allows to specify individual spacing values for graph elements that shall be different from the value specified for the element's parent."),mTe),lIe),_Z(uTe,Ast(Zx(kTe,1),OWt,175,0,[sTe,hTe,cTe]))))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,m3t),k2t),"Additional Port Space"),"Additional space around the sets of ports on each node side. For each side of a node, this option can reserve additional space before and after the ports on each side. For example, a top spacing of 20 makes sure that the first port on the western and eastern side is 20 units away from the northern border."),BSe),mTe),_se),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,b3t),D5t),"Layout Partition"),"Partition to which the node belongs. This requires Layout Partitioning to be active. Nodes with lower partition IDs will appear to the left of nodes with higher partition IDs (assuming a left-to-right layout direction)."),yTe),Dee),_Z(lTe,Ast(Zx(kTe,1),OWt,175,0,[uTe]))))),o2(t,b3t,p3t,QCe),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,p3t),D5t),"Layout Partitioning"),"Whether to activate partitioned layout. This will allow to group nodes through the Layout Partition option. a pair of nodes with different partition indices is then placed such that the node with lower index is placed to the left of the other node (with left-to-right layout direction). Depending on the layout algorithm, this may only be guaranteed to work if all nodes have a layout partition configured, or at least if edges that cross partitions are not part of a partition-crossing cycle."),XCe),gTe),kee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,t3t),O5t),"Node Label Padding"),"Define padding for node labels that are placed inside of a node."),PCe),mTe),$se),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,MJt),O5t),"Node Label Placement"),"Hints for where node labels are to be placed; if empty, the node label's position is not modified."),FCe),wTe),ZAe),_Z(uTe,Ast(Zx(kTe,1),OWt,175,0,[cTe]))))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,i3t),N5t),"Port Alignment"),"Defines the default port distribution for a node. May be overridden for each side individually."),tSe),bTe),QAe),edt(uTe)))),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,r3t),N5t),"Port Alignment (North)"),"Defines how ports on the northern side are placed, overriding the node's general port alignment."),bTe),QAe),edt(uTe)))),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,a3t),N5t),"Port Alignment (South)"),"Defines how ports on the southern side are placed, overriding the node's general port alignment."),bTe),QAe),edt(uTe)))),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,o3t),N5t),"Port Alignment (West)"),"Defines how ports on the western side are placed, overriding the node's general port alignment."),bTe),QAe),edt(uTe)))),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,s3t),N5t),"Port Alignment (East)"),"Defines how ports on the eastern side are placed, overriding the node's general port alignment."),bTe),QAe),edt(uTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,AJt),P5t),"Node Size Constraints"),"What should be taken into account when calculating a node's size. Empty size constraints specify that a node's size is already fixed and should not be changed."),$Ce),wTe),VMe),edt(uTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,SJt),P5t),"Node Size Options"),"Options modifying the behavior of the size constraints set on a node. Each member of the set specifies something that should be taken into account when calculating node sizes. The empty set corresponds to no further modifications."),ZCe),wTe),iIe),edt(uTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,qJt),P5t),"Node Size Minimum"),"The minimal size to which a node can be reduced."),qCe),mTe),STe),edt(uTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,Q2t),P5t),"Fixed Graph Size"),"By default, the fixed layout provider will enlarge a graph until it is large enough to contain its children. If this option is set, it won't do so."),!1),gTe),kee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,l3t),D2t),"Edge Label Placement"),"Gives a hint on where to put edge labels."),wCe),bTe),tAe),edt(cTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,TJt),D2t),"Inline Edge Labels"),"If true, an edge label is placed directly on its edge. May only apply to center edge labels. This kind of label placement is only advisable if the label's rendering is such that it is not crossed by its edge and thus stays legible."),!1),gTe),kee),edt(cTe)))),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,M5t),"font"),"Font Name"),"Font name used for a label."),vTe),Vee),edt(cTe)))),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,I5t),"font"),"Font Size"),"Font size used for a label."),yTe),Dee),edt(cTe)))),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,g3t),B5t),"Port Anchor Offset"),"The offset to the port position where connections shall be attached."),mTe),STe),edt(hTe)))),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,h3t),B5t),"Port Index"),"The index of a port in the fixed order around a node. The order is assumed as clockwise, starting with the leftmost port on the top side. This option must be set if 'Port Constraints' is set to FIXED_ORDER and no specific positions are given for the ports. Additionally, the option 'Port Side' must be defined in this case."),yTe),Dee),edt(hTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,G2t),B5t),"Port Side"),"The side of a node on which a port is situated. This option must be set if 'Port Constraints' is set to FIXED_SIDE or FIXED_ORDER and no specific positions are given for the ports."),pSe),bTe),jMe),edt(hTe)))),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,U2t),B5t),"Port Border Offset"),"The offset of ports on the node border. With a positive offset the port is moved outside of the node, while with a negative offset the port is moved towards the inside. An offset of 0 means that the port is placed directly on the node border, i.e. if the port side is north, the port's south border touches the nodes's north border; if the port side is east, the port's west border touches the nodes's east border; if the port side is south, the port's north border touches the node's south border; if the port side is west, the port's east border touches the node's west border."),pTe),Aee),edt(hTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,IJt),F5t),"Port Label Placement"),"Decides on a placement method for port labels; if empty, the node label's position is not modified."),fSe),wTe),MMe),edt(uTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,e3t),F5t),"Port Labels Next to Port"),"Use 'portLabels.placement': NEXT_TO_PORT_OF_POSSIBLE."),!1),gTe),kee),edt(uTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,n3t),F5t),"Treat Port Labels as Group"),"If this option is true (default), the labels of a port will be treated as a group when it comes to centering them next to their port. If this option is false, only the first label will be centered next to the port, with the others being placed below. This only applies to labels of eastern and western ports and will have no effect if labels are not placed next to their port."),!0),gTe),kee),edt(uTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,X2t),R5t),"Activate Inside Self Loops"),"Whether this node allows to route self loops inside of it instead of around it. If set to true, this will make the node a compound node if it isn't already, and will require the layout algorithm to support compound nodes with hierarchical ports."),!1),gTe),kee),edt(uTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,V2t),R5t),"Inside Self Loop"),"Whether a self loop should be routed inside a node instead of around that node."),!1),gTe),kee),edt(sTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,WQt),"edge"),"Edge Thickness"),"The thickness of an edge. This is a hint on the line width used to draw an edge, possibly requiring more space to be reserved for it."),1),pTe),Aee),edt(sTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,L5t),"edge"),"Edge Type"),"The type of an edge. This is usually used for UML class diagrams, where associations must be handled differently from generalizations."),xCe),bTe),vAe),edt(sTe)))),PT(t,new YJ(vk(kk(xk(new ys,p1t),"Layered"),'The layer-based method was introduced by Sugiyama, Tagawa and Toda in 1981. It emphasizes the direction of edges by pointing as many edges as possible into the same direction. The nodes are arranged in layers, which are sometimes called "hierarchies", and then reordered such that the number of edge crossings is minimized. Afterwards, concrete coordinates are computed for the nodes and edge bend points.'))),PT(t,new YJ(vk(kk(xk(new ys,"org.eclipse.elk.orthogonal"),"Orthogonal"),'Orthogonal methods that follow the "topology-shape-metrics" approach by Batini, Nardelli and Tamassia \'86. The first phase determines the topology of the drawing by applying a planarization technique, which results in a planar representation of the graph. The orthogonal shape is computed in the second phase, which aims at minimizing the number of edge bends, and is called orthogonalization. The third phase leads to concrete coordinates for nodes and edge bend points by applying a compaction method, thus defining the metrics.'))),PT(t,new YJ(vk(kk(xk(new ys,wJt),"Force"),"Layout algorithms that follow physical analogies by simulating a system of attractive and repulsive forces. 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Ilt(this,null);case 9:return void((e=HEt(this,null,null))&&e.Fi());case 10:return void Dft(this,!0);case 11:return void Pft(this,!1);case 12:return void Oft(this,!1);case 13:return this.i=null,void srt(this,null);case 15:return void Nft(this,!1);case 16:return void Zft(this,!1)}Zht(this,t-dG(this.zh()),iet(zz(xot(this,16),26)||this.zh(),t))},CKt.Gh=function(){xW(z9((ISt(),JDe),this)),Ixt(this),this.Bb|=1},CKt.Gj=function(){return this.f},CKt.zj=function(){return ZOt(this)},CKt.Hj=function(){return pJ(this)},CKt.Lj=function(){return null},CKt.pk=function(){return this.k},CKt.aj=function(){return this.n},CKt.Mj=function(){return u_t(this)},CKt.Nj=function(){var t,e,n,i,r,a,o,s,c;return this.p||((null==(n=pJ(this)).i&&Zjt(n),n.i).length,(i=this.Lj())&&dG(pJ(i)),t=(o=(r=Ixt(this)).Bj())?0!=(1&o.i)?o==DNe?kee:o==LNe?Dee:o==BNe?Mee:o==PNe?Aee:o==ONe?Ree:o==FNe?jee:o==NNe?Tee:See:o:null,e=ZOt(this),s=r.zj(),gdt(this),0!=(this.Bb&hWt)&&((a=vkt((ISt(),JDe),n))&&a!=this||(a=J1(z9(JDe,this))))?this.p=new LM(this,a):this.$j()?this.rk()?i?0!=(this.Bb&T8t)?t?this.sk()?this.p=new fX(47,t,this,i):this.p=new fX(5,t,this,i):this.sk()?this.p=new g4(46,this,i):this.p=new g4(4,this,i):t?this.sk()?this.p=new fX(49,t,this,i):this.p=new fX(7,t,this,i):this.sk()?this.p=new g4(48,this,i):this.p=new g4(6,this,i):0!=(this.Bb&T8t)?t?t==Hte?this.p=new Sz(50,WIe,this):this.sk()?this.p=new Sz(43,t,this):this.p=new Sz(1,t,this):this.sk()?this.p=new FV(42,this):this.p=new FV(0,this):t?t==Hte?this.p=new Sz(41,WIe,this):this.sk()?this.p=new Sz(45,t,this):this.p=new Sz(3,t,this):this.sk()?this.p=new FV(44,this):this.p=new FV(2,this):aO(r,148)?t==DDe?this.p=new FV(40,this):0!=(512&this.Bb)?0!=(this.Bb&T8t)?this.p=t?new Sz(9,t,this):new FV(8,this):this.p=t?new Sz(11,t,this):new FV(10,this):0!=(this.Bb&T8t)?this.p=t?new Sz(13,t,this):new FV(12,this):this.p=t?new Sz(15,t,this):new FV(14,this):i?(c=i.t)>1||-1==c?this.sk()?0!=(this.Bb&T8t)?this.p=t?new fX(25,t,this,i):new g4(24,this,i):this.p=t?new fX(27,t,this,i):new g4(26,this,i):0!=(this.Bb&T8t)?this.p=t?new fX(29,t,this,i):new g4(28,this,i):this.p=t?new fX(31,t,this,i):new g4(30,this,i):this.sk()?0!=(this.Bb&T8t)?this.p=t?new fX(33,t,this,i):new g4(32,this,i):this.p=t?new fX(35,t,this,i):new g4(34,this,i):0!=(this.Bb&T8t)?this.p=t?new fX(37,t,this,i):new g4(36,this,i):this.p=t?new fX(39,t,this,i):new g4(38,this,i):this.sk()?0!=(this.Bb&T8t)?this.p=t?new Sz(17,t,this):new FV(16,this):this.p=t?new Sz(19,t,this):new FV(18,this):0!=(this.Bb&T8t)?this.p=t?new Sz(21,t,this):new FV(20,this):this.p=t?new Sz(23,t,this):new FV(22,this):this.qk()?this.sk()?this.p=new Az(zz(r,26),this,i):this.p=new mQ(zz(r,26),this,i):aO(r,148)?t==DDe?this.p=new FV(40,this):0!=(this.Bb&T8t)?this.p=t?new tU(e,s,this,(qgt(),o==LNe?HDe:o==DNe?RDe:o==ONe?ZDe:o==BNe?qDe:o==PNe?zDe:o==FNe?YDe:o==NNe?$De:o==INe?jDe:UDe)):new pX(zz(r,148),e,s,this):this.p=t?new JZ(e,s,this,(qgt(),o==LNe?HDe:o==DNe?RDe:o==ONe?ZDe:o==BNe?qDe:o==PNe?zDe:o==FNe?YDe:o==NNe?$De:o==INe?jDe:UDe)):new gX(zz(r,148),e,s,this):this.rk()?i?0!=(this.Bb&T8t)?this.sk()?this.p=new Nz(zz(r,26),this,i):this.p=new Oz(zz(r,26),this,i):this.sk()?this.p=new Dz(zz(r,26),this,i):this.p=new Mz(zz(r,26),this,i):0!=(this.Bb&T8t)?this.sk()?this.p=new nB(zz(r,26),this):this.p=new eB(zz(r,26),this):this.sk()?this.p=new tB(zz(r,26),this):this.p=new JP(zz(r,26),this):this.sk()?i?0!=(this.Bb&T8t)?this.p=new Pz(zz(r,26),this,i):this.p=new Iz(zz(r,26),this,i):0!=(this.Bb&T8t)?this.p=new rB(zz(r,26),this):this.p=new iB(zz(r,26),this):i?0!=(this.Bb&T8t)?this.p=new Bz(zz(r,26),this,i):this.p=new Lz(zz(r,26),this,i):0!=(this.Bb&T8t)?this.p=new aB(zz(r,26),this):this.p=new aZ(zz(r,26),this)),this.p},CKt.Ij=function(){return 0!=(this.Bb&k6t)},CKt.qk=function(){return!1},CKt.rk=function(){return!1},CKt.Jj=function(){return 0!=(this.Bb&hWt)},CKt.Oj=function(){return ltt(this)},CKt.sk=function(){return!1},CKt.Kj=function(){return 0!=(this.Bb&T8t)},CKt.tk=function(t){this.k=t},CKt.Lh=function(t){QJ(this,t)},CKt.Ib=function(){return EFt(this)},CKt.e=!1,CKt.n=0,yG(d6t,"EStructuralFeatureImpl",449),pLt(322,449,{105:1,92:1,90:1,34:1,147:1,191:1,56:1,170:1,66:1,108:1,472:1,49:1,97:1,322:1,150:1,449:1,284:1,114:1,115:1,677:1},Im),CKt._g=function(t,e,n){switch(t){case 0:return!this.Ab&&(this.Ab=new nY(RLe,this,0,3)),this.Ab;case 1:return this.zb;case 2:return lN(),0!=(256&this.Bb);case 3:return lN(),0!=(512&this.Bb);case 4:return rft(this.s);case 5:return rft(this.t);case 6:return lN(),!!PMt(this);case 7:return lN(),this.s>=1;case 8:return e?Ixt(this):this.r;case 9:return this.q;case 10:return lN(),0!=(this.Bb&k6t);case 11:return lN(),0!=(this.Bb&C8t);case 12:return lN(),0!=(this.Bb&jXt);case 13:return this.j;case 14:return ZOt(this);case 15:return lN(),0!=(this.Bb&T8t);case 16:return lN(),0!=(this.Bb&hWt);case 17:return pJ(this);case 18:return lN(),0!=(this.Bb&h6t);case 19:return e?cst(this):P6(this)}return Y8(this,t-dG((wKt(),iDe)),iet(zz(xot(this,16),26)||iDe,t),e,n)},CKt.lh=function(t){switch(t){case 0:return!!this.Ab&&0!=this.Ab.i;case 1:return null!=this.zb;case 2:return 0==(256&this.Bb);case 3:return 0==(512&this.Bb);case 4:return 0!=this.s;case 5:return 1!=this.t;case 6:return PMt(this);case 7:return this.s>=1;case 8:return!!this.r&&!this.q.e&&0==vK(this.q).i;case 9:return!(!this.q||this.r&&!this.q.e&&0==vK(this.q).i);case 10:return 0==(this.Bb&k6t);case 11:return 0!=(this.Bb&C8t);case 12:return 0!=(this.Bb&jXt);case 13:return null!=this.j;case 14:return null!=ZOt(this);case 15:return 0!=(this.Bb&T8t);case 16:return 0!=(this.Bb&hWt);case 17:return!!pJ(this);case 18:return 0!=(this.Bb&h6t);case 19:return!!P6(this)}return I3(this,t-dG((wKt(),iDe)),iet(zz(xot(this,16),26)||iDe,t))},CKt.sh=function(t,e){var n;switch(t){case 0:return!this.Ab&&(this.Ab=new nY(RLe,this,0,3)),lHt(this.Ab),!this.Ab&&(this.Ab=new nY(RLe,this,0,3)),void wG(this.Ab,zz(e,14));case 1:return void QJ(this,CB(e));case 2:return void Qht(this,Hv(EB(e)));case 3:return void eft(this,Hv(EB(e)));case 4:return void Nnt(this,zz(e,19).a);case 5:return void Yk(this,zz(e,19).a);case 8:return void Ilt(this,zz(e,138));case 9:return void((n=HEt(this,zz(e,87),null))&&n.Fi());case 10:return void Dft(this,Hv(EB(e)));case 11:return void Pft(this,Hv(EB(e)));case 12:return void Oft(this,Hv(EB(e)));case 13:return void $M(this,CB(e));case 15:return void Nft(this,Hv(EB(e)));case 16:return void Zft(this,Hv(EB(e)));case 18:return void Uft(this,Hv(EB(e)))}Ndt(this,t-dG((wKt(),iDe)),iet(zz(xot(this,16),26)||iDe,t),e)},CKt.zh=function(){return wKt(),iDe},CKt.Bh=function(t){var e;switch(t){case 0:return!this.Ab&&(this.Ab=new nY(RLe,this,0,3)),void lHt(this.Ab);case 1:return aO(this.Cb,88)&&DAt(S5(zz(this.Cb,88)),4),void Prt(this,null);case 2:return void Qht(this,!0);case 3:return void eft(this,!0);case 4:return void Nnt(this,0);case 5:return this.b=0,void Pnt(this,1);case 8:return void Ilt(this,null);case 9:return void((e=HEt(this,null,null))&&e.Fi());case 10:return void Dft(this,!0);case 11:return void Pft(this,!1);case 12:return void Oft(this,!1);case 13:return this.i=null,void srt(this,null);case 15:return void Nft(this,!1);case 16:return void Zft(this,!1);case 18:return void Uft(this,!1)}Zht(this,t-dG((wKt(),iDe)),iet(zz(xot(this,16),26)||iDe,t))},CKt.Gh=function(){cst(this),xW(z9((ISt(),JDe),this)),Ixt(this),this.Bb|=1},CKt.$j=function(){return PMt(this)},CKt.nk=function(t,e){return this.b=0,this.a=null,Aht(this,t,e)},CKt.ok=function(t){Yk(this,t)},CKt.Ib=function(){var t;return 0!=(64&this.Db)?EFt(this):((t=new hN(EFt(this))).a+=" (iD: ",v_(t,0!=(this.Bb&h6t)),t.a+=")",t.a)},CKt.b=0,yG(d6t,"EAttributeImpl",322),pLt(351,438,{105:1,92:1,90:1,138:1,147:1,191:1,56:1,108:1,49:1,97:1,351:1,150:1,114:1,115:1,676:1}),CKt.uk=function(t){return t.Tg()==this},CKt.Qg=function(t){return fvt(this,t)},CKt.Rg=function(t,e){this.w=null,this.Db=e<<16|255&this.Db,this.Cb=t},CKt._g=function(t,e,n){switch(t){case 0:return!this.Ab&&(this.Ab=new nY(RLe,this,0,3)),this.Ab;case 1:return this.zb;case 2:return null!=this.D?this.D:this.B;case 3:return rvt(this);case 4:return this.zj();case 5:return this.F;case 6:return e?Get(this):gJ(this);case 7:return!this.A&&(this.A=new NO(IDe,this,7)),this.A}return Y8(this,t-dG(this.zh()),iet(zz(xot(this,16),26)||this.zh(),t),e,n)},CKt.hh=function(t,e,n){var i;switch(e){case 0:return!this.Ab&&(this.Ab=new nY(RLe,this,0,3)),Qgt(this.Ab,t,n);case 6:return this.Cb&&(n=(i=this.Db>>16)>=0?fvt(this,n):this.Cb.ih(this,-1-i,null,n)),T$t(this,t,6,n)}return zz(iet(zz(xot(this,16),26)||this.zh(),e),66).Nj().Qj(this,fbt(this),e-dG(this.zh()),t,n)},CKt.jh=function(t,e,n){switch(e){case 0:return!this.Ab&&(this.Ab=new nY(RLe,this,0,3)),jwt(this.Ab,t,n);case 6:return T$t(this,null,6,n);case 7:return!this.A&&(this.A=new NO(IDe,this,7)),jwt(this.A,t,n)}return zz(iet(zz(xot(this,16),26)||this.zh(),e),66).Nj().Rj(this,fbt(this),e-dG(this.zh()),t,n)},CKt.lh=function(t){switch(t){case 0:return!!this.Ab&&0!=this.Ab.i;case 1:return null!=this.zb;case 2:return null!=this.D&&this.D==this.F;case 3:return!!rvt(this);case 4:return null!=this.zj();case 5:return null!=this.F&&this.F!=this.D&&this.F!=this.B;case 6:return!!gJ(this);case 7:return!!this.A&&0!=this.A.i}return I3(this,t-dG(this.zh()),iet(zz(xot(this,16),26)||this.zh(),t))},CKt.sh=function(t,e){switch(t){case 0:return!this.Ab&&(this.Ab=new nY(RLe,this,0,3)),lHt(this.Ab),!this.Ab&&(this.Ab=new nY(RLe,this,0,3)),void wG(this.Ab,zz(e,14));case 1:return void JJ(this,CB(e));case 2:return void ML(this,CB(e));case 5:return void QHt(this,CB(e));case 7:return!this.A&&(this.A=new NO(IDe,this,7)),lHt(this.A),!this.A&&(this.A=new NO(IDe,this,7)),void wG(this.A,zz(e,14))}Ndt(this,t-dG(this.zh()),iet(zz(xot(this,16),26)||this.zh(),t),e)},CKt.zh=function(){return wKt(),aDe},CKt.Bh=function(t){switch(t){case 0:return!this.Ab&&(this.Ab=new nY(RLe,this,0,3)),void lHt(this.Ab);case 1:return aO(this.Cb,179)&&(zz(this.Cb,179).tb=null),void Prt(this,null);case 2:return Fut(this,null),void Bnt(this,this.D);case 5:return void QHt(this,null);case 7:return!this.A&&(this.A=new NO(IDe,this,7)),void lHt(this.A)}Zht(this,t-dG(this.zh()),iet(zz(xot(this,16),26)||this.zh(),t))},CKt.yj=function(){var t;return-1==this.G&&(this.G=(t=Get(this))?cyt(t.Mh(),this):-1),this.G},CKt.zj=function(){return null},CKt.Aj=function(){return Get(this)},CKt.vk=function(){return this.v},CKt.Bj=function(){return rvt(this)},CKt.Cj=function(){return null!=this.D?this.D:this.B},CKt.Dj=function(){return this.F},CKt.wj=function(t){return Sjt(this,t)},CKt.wk=function(t){this.v=t},CKt.xk=function(t){Grt(this,t)},CKt.yk=function(t){this.C=t},CKt.Lh=function(t){JJ(this,t)},CKt.Ib=function(){return Mgt(this)},CKt.C=null,CKt.D=null,CKt.G=-1,yG(d6t,"EClassifierImpl",351),pLt(88,351,{105:1,92:1,90:1,26:1,138:1,147:1,191:1,56:1,108:1,49:1,97:1,88:1,351:1,150:1,473:1,114:1,115:1,676:1},Rh),CKt.uk=function(t){return XF(this,t.Tg())},CKt._g=function(t,e,n){switch(t){case 0:return!this.Ab&&(this.Ab=new nY(RLe,this,0,3)),this.Ab;case 1:return this.zb;case 2:return null!=this.D?this.D:this.B;case 3:return rvt(this);case 4:return null;case 5:return this.F;case 6:return e?Get(this):gJ(this);case 7:return!this.A&&(this.A=new NO(IDe,this,7)),this.A;case 8:return lN(),0!=(256&this.Bb);case 9:return lN(),0!=(512&this.Bb);case 10:return xV(this);case 11:return!this.q&&(this.q=new nY(XLe,this,11,10)),this.q;case 12:return Qzt(this);case 13:return Rzt(this);case 14:return Rzt(this),this.r;case 15:return 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Fh),this.k).ck(),t))},yG(P9t,"SimpleAnyTypeImpl",668),pLt(669,506,{105:1,92:1,90:1,56:1,49:1,97:1,2023:1,669:1},Rm),CKt._g=function(t,e,n){switch(t){case 0:return n?(!this.a&&(this.a=new Eat(this,0)),this.a):(!this.a&&(this.a=new Eat(this,0)),this.a.b);case 1:return n?(!this.b&&(this.b=new v8((wKt(),xDe),GDe,this,1)),this.b):(!this.b&&(this.b=new v8((wKt(),xDe),GDe,this,1)),L7(this.b));case 2:return n?(!this.c&&(this.c=new v8((wKt(),xDe),GDe,this,2)),this.c):(!this.c&&(this.c=new v8((wKt(),xDe),GDe,this,2)),L7(this.c));case 3:return!this.a&&(this.a=new Eat(this,0)),t1(this.a,(GHt(),BOe));case 4:return!this.a&&(this.a=new Eat(this,0)),t1(this.a,(GHt(),FOe));case 5:return!this.a&&(this.a=new Eat(this,0)),t1(this.a,(GHt(),$Oe));case 6:return!this.a&&(this.a=new Eat(this,0)),t1(this.a,(GHt(),jOe))}return Y8(this,t-dG((GHt(),POe)),iet(0==(2&this.j)?POe:(!this.k&&(this.k=new Fh),this.k).ck(),t),e,n)},CKt.jh=function(t,e,n){switch(e){case 0:return!this.a&&(this.a=new Eat(this,0)),TRt(this.a,t,n);case 1:return!this.b&&(this.b=new v8((wKt(),xDe),GDe,this,1)),zR(this.b,t,n);case 2:return!this.c&&(this.c=new v8((wKt(),xDe),GDe,this,2)),zR(this.c,t,n);case 5:return!this.a&&(this.a=new Eat(this,0)),eF(t1(this.a,(GHt(),$Oe)),t,n)}return zz(iet(0==(2&this.j)?(GHt(),POe):(!this.k&&(this.k=new Fh),this.k).ck(),e),66).Nj().Rj(this,X9(this),e-dG((GHt(),POe)),t,n)},CKt.lh=function(t){switch(t){case 0:return!!this.a&&0!=this.a.i;case 1:return!!this.b&&0!=this.b.f;case 2:return!!this.c&&0!=this.c.f;case 3:return!this.a&&(this.a=new Eat(this,0)),!qM(t1(this.a,(GHt(),BOe)));case 4:return!this.a&&(this.a=new Eat(this,0)),!qM(t1(this.a,(GHt(),FOe)));case 5:return!this.a&&(this.a=new Eat(this,0)),!qM(t1(this.a,(GHt(),$Oe)));case 6:return!this.a&&(this.a=new Eat(this,0)),!qM(t1(this.a,(GHt(),jOe)))}return I3(this,t-dG((GHt(),POe)),iet(0==(2&this.j)?POe:(!this.k&&(this.k=new Fh),this.k).ck(),t))},CKt.sh=function(t,e){switch(t){case 0:return!this.a&&(this.a=new Eat(this,0)),void eG(this.a,e);case 1:return!this.b&&(this.b=new v8((wKt(),xDe),GDe,this,1)),void not(this.b,e);case 2:return!this.c&&(this.c=new v8((wKt(),xDe),GDe,this,2)),void not(this.c,e);case 3:return!this.a&&(this.a=new Eat(this,0)),Ny(t1(this.a,(GHt(),BOe))),!this.a&&(this.a=new Eat(this,0)),void JD(t1(this.a,BOe),zz(e,14));case 4:return!this.a&&(this.a=new Eat(this,0)),Ny(t1(this.a,(GHt(),FOe))),!this.a&&(this.a=new Eat(this,0)),void JD(t1(this.a,FOe),zz(e,14));case 5:return!this.a&&(this.a=new Eat(this,0)),Ny(t1(this.a,(GHt(),$Oe))),!this.a&&(this.a=new Eat(this,0)),void JD(t1(this.a,$Oe),zz(e,14));case 6:return!this.a&&(this.a=new Eat(this,0)),Ny(t1(this.a,(GHt(),jOe))),!this.a&&(this.a=new Eat(this,0)),void JD(t1(this.a,jOe),zz(e,14))}Ndt(this,t-dG((GHt(),POe)),iet(0==(2&this.j)?POe:(!this.k&&(this.k=new Fh),this.k).ck(),t),e)},CKt.zh=function(){return GHt(),POe},CKt.Bh=function(t){switch(t){case 0:return!this.a&&(this.a=new Eat(this,0)),void lHt(this.a);case 1:return!this.b&&(this.b=new v8((wKt(),xDe),GDe,this,1)),void this.b.c.$b();case 2:return!this.c&&(this.c=new v8((wKt(),xDe),GDe,this,2)),void this.c.c.$b();case 3:return!this.a&&(this.a=new Eat(this,0)),void Ny(t1(this.a,(GHt(),BOe)));case 4:return!this.a&&(this.a=new Eat(this,0)),void Ny(t1(this.a,(GHt(),FOe)));case 5:return!this.a&&(this.a=new Eat(this,0)),void Ny(t1(this.a,(GHt(),$Oe)));case 6:return!this.a&&(this.a=new Eat(this,0)),void Ny(t1(this.a,(GHt(),jOe)))}Zht(this,t-dG((GHt(),POe)),iet(0==(2&this.j)?POe:(!this.k&&(this.k=new Fh),this.k).ck(),t))},CKt.Ib=function(){var t;return 0!=(4&this.j)?ADt(this):((t=new hN(ADt(this))).a+=" (mixed: ",rI(t,this.a),t.a+=")",t.a)},yG(P9t,"XMLTypeDocumentRootImpl",669),pLt(1919,704,{105:1,92:1,90:1,471:1,147:1,56:1,108:1,49:1,97:1,150:1,114:1,115:1,2024:1},Bu),CKt.Ih=function(t,e){switch(t.yj()){case 7:case 8:case 9:case 10:case 16:case 22:case 23:case 24:case 25:case 26:case 32:case 33:case 34:case 36:case 37:case 44:case 45:case 50:case 51:case 53:case 55:case 56:case 57:case 58:case 60:case 61:case 4:return null==e?null:qdt(e);case 19:case 28:case 29:case 35:case 38:case 39:case 41:case 46:case 52:case 54:case 5:return CB(e);case 6:return mB(zz(e,190));case 12:case 47:case 49:case 11:return ZZt(this,t,e);case 13:return null==e?null:Uzt(zz(e,240));case 15:case 14:return null==e?null:FY(Zv(TB(e)));case 17:return E_t((GHt(),e));case 18:return E_t(e);case 21:case 20:return null==e?null:RY(zz(e,155).a);case 27:return vB(zz(e,190));case 30:return jmt((GHt(),zz(e,15)));case 31:return jmt(zz(e,15));case 40:return kB((GHt(),e));case 42:return T_t((GHt(),e));case 43:return T_t(e);case 59:case 48:return xB((GHt(),e));default:throw qw(new $v(b6t+t.ne()+w6t))}},CKt.Jh=function(t){var e;switch(-1==t.G&&(t.G=(e=Get(t))?cyt(e.Mh(),t):-1),t.G){case 0:return new Fm;case 1:return new Fu;case 2:return new $m;case 3:return new Rm;default:throw qw(new $v(v6t+t.zb+w6t))}},CKt.Kh=function(t,e){var n,i,r,a,o,s,c,u,l,h,f,d,g,p,b,w;switch(t.yj()){case 5:case 52:case 4:return e;case 6:return xwt(e);case 8:case 7:return null==e?null:j_t(e);case 9:return null==e?null:Stt(d$t((i=zzt(e,!0)).length>0&&(d1(0,i.length),43==i.charCodeAt(0))?i.substr(1):i,-128,127)<<24>>24);case 10:return null==e?null:Stt(d$t((r=zzt(e,!0)).length>0&&(d1(0,r.length),43==r.charCodeAt(0))?r.substr(1):r,-128,127)<<24>>24);case 11:return CB(BGt(this,(GHt(),xOe),e));case 12:return CB(BGt(this,(GHt(),kOe),e));case 13:return null==e?null:new g_(zzt(e,!0));case 15:case 14:return wOt(e);case 16:return CB(BGt(this,(GHt(),_Oe),e));case 17:return Hpt((GHt(),e));case 18:return Hpt(e);case 28:case 29:case 35:case 38:case 39:case 41:case 54:case 19:return zzt(e,!0);case 21:case 20:return IOt(e);case 22:return CB(BGt(this,(GHt(),EOe),e));case 23:return CB(BGt(this,(GHt(),TOe),e));case 24:return CB(BGt(this,(GHt(),COe),e));case 25:return CB(BGt(this,(GHt(),SOe),e));case 26:return CB(BGt(this,(GHt(),AOe),e));case 27:return twt(e);case 30:return Zpt((GHt(),e));case 31:return Zpt(e);case 32:return null==e?null:rft(d$t((l=zzt(e,!0)).length>0&&(d1(0,l.length),43==l.charCodeAt(0))?l.substr(1):l,jWt,FKt));case 33:return null==e?null:new DL((h=zzt(e,!0)).length>0&&(d1(0,h.length),43==h.charCodeAt(0))?h.substr(1):h);case 34:return null==e?null:rft(d$t((f=zzt(e,!0)).length>0&&(d1(0,f.length),43==f.charCodeAt(0))?f.substr(1):f,jWt,FKt));case 36:return null==e?null:_bt(aYt((d=zzt(e,!0)).length>0&&(d1(0,d.length),43==d.charCodeAt(0))?d.substr(1):d));case 37:return null==e?null:_bt(aYt((g=zzt(e,!0)).length>0&&(d1(0,g.length),43==g.charCodeAt(0))?g.substr(1):g));case 40:return Xgt((GHt(),e));case 42:return Upt((GHt(),e));case 43:return Upt(e);case 44:return null==e?null:new DL((p=zzt(e,!0)).length>0&&(d1(0,p.length),43==p.charCodeAt(0))?p.substr(1):p);case 45:return null==e?null:new DL((b=zzt(e,!0)).length>0&&(d1(0,b.length),43==b.charCodeAt(0))?b.substr(1):b);case 46:return zzt(e,!1);case 47:return CB(BGt(this,(GHt(),MOe),e));case 59:case 48:return Wgt((GHt(),e));case 49:return CB(BGt(this,(GHt(),LOe),e));case 50:return null==e?null:aft(d$t((w=zzt(e,!0)).length>0&&(d1(0,w.length),43==w.charCodeAt(0))?w.substr(1):w,V8t,32767)<<16>>16);case 51:return null==e?null:aft(d$t((a=zzt(e,!0)).length>0&&(d1(0,a.length),43==a.charCodeAt(0))?a.substr(1):a,V8t,32767)<<16>>16);case 53:return CB(BGt(this,(GHt(),NOe),e));case 55:return null==e?null:aft(d$t((o=zzt(e,!0)).length>0&&(d1(0,o.length),43==o.charCodeAt(0))?o.substr(1):o,V8t,32767)<<16>>16);case 56:return null==e?null:aft(d$t((s=zzt(e,!0)).length>0&&(d1(0,s.length),43==s.charCodeAt(0))?s.substr(1):s,V8t,32767)<<16>>16);case 57:return null==e?null:_bt(aYt((c=zzt(e,!0)).length>0&&(d1(0,c.length),43==c.charCodeAt(0))?c.substr(1):c));case 58:return null==e?null:_bt(aYt((u=zzt(e,!0)).length>0&&(d1(0,u.length),43==u.charCodeAt(0))?u.substr(1):u));case 60:return null==e?null:rft(d$t((n=zzt(e,!0)).length>0&&(d1(0,n.length),43==n.charCodeAt(0))?n.substr(1):n,jWt,FKt));case 61:return null==e?null:rft(d$t(zzt(e,!0),jWt,FKt));default:throw qw(new $v(b6t+t.ne()+w6t))}},yG(P9t,"XMLTypeFactoryImpl",1919),pLt(586,179,{105:1,92:1,90:1,147:1,191:1,56:1,235:1,108:1,49:1,97:1,150:1,179:1,114:1,115:1,675:1,1945:1,586:1},UK),CKt.N=!1,CKt.O=!1;var KOe,WOe,XOe,VOe,QOe,JOe=!1;yG(P9t,"XMLTypePackageImpl",586),pLt(1852,1,{837:1},Ru),CKt._j=function(){return fjt(),ENe},yG(P9t,"XMLTypePackageImpl/1",1852),pLt(1861,1,l9t,$u),CKt.wj=function(t){return GM(t)},CKt.xj=function(t){return P7(Vee,lWt,2,t,6,1)},yG(P9t,"XMLTypePackageImpl/10",1861),pLt(1862,1,l9t,ju),CKt.wj=function(t){return GM(t)},CKt.xj=function(t){return P7(Vee,lWt,2,t,6,1)},yG(P9t,"XMLTypePackageImpl/11",1862),pLt(1863,1,l9t,zu),CKt.wj=function(t){return GM(t)},CKt.xj=function(t){return P7(Vee,lWt,2,t,6,1)},yG(P9t,"XMLTypePackageImpl/12",1863),pLt(1864,1,l9t,qu),CKt.wj=function(t){return YM(t)},CKt.xj=function(t){return P7(Aee,lWt,333,t,7,1)},yG(P9t,"XMLTypePackageImpl/13",1864),pLt(1865,1,l9t,Hu),CKt.wj=function(t){return GM(t)},CKt.xj=function(t){return P7(Vee,lWt,2,t,6,1)},yG(P9t,"XMLTypePackageImpl/14",1865),pLt(1866,1,l9t,Zu),CKt.wj=function(t){return aO(t,15)},CKt.xj=function(t){return P7(Rte,eJt,15,t,0,1)},yG(P9t,"XMLTypePackageImpl/15",1866),pLt(1867,1,l9t,Uu),CKt.wj=function(t){return aO(t,15)},CKt.xj=function(t){return P7(Rte,eJt,15,t,0,1)},yG(P9t,"XMLTypePackageImpl/16",1867),pLt(1868,1,l9t,Yu),CKt.wj=function(t){return GM(t)},CKt.xj=function(t){return P7(Vee,lWt,2,t,6,1)},yG(P9t,"XMLTypePackageImpl/17",1868),pLt(1869,1,l9t,Gu),CKt.wj=function(t){return aO(t,155)},CKt.xj=function(t){return P7(Mee,lWt,155,t,0,1)},yG(P9t,"XMLTypePackageImpl/18",1869),pLt(1870,1,l9t,Ku),CKt.wj=function(t){return GM(t)},CKt.xj=function(t){return P7(Vee,lWt,2,t,6,1)},yG(P9t,"XMLTypePackageImpl/19",1870),pLt(1853,1,l9t,Wu),CKt.wj=function(t){return 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source!";e.push(i)}})),e},u.prototype.getEdgesBetween=function(t){var e=[],n=this;return n.edges.forEach((function(i){if(i.source!=n&&i.target!=n)throw"Incorrect edge source and/or target";i.target!=t&&i.source!=t||e.push(i)})),e},u.prototype.getNeighborsList=function(){var t=new Set,e=this;return e.edges.forEach((function(n){if(n.source==e)t.add(n.target);else{if(n.target!=e)throw"Incorrect incidency!";t.add(n.source)}})),t},u.prototype.withChildren=function(){var t=new Set;if(t.add(this),null!=this.child)for(var e=this.child.getNodes(),n=0;n<e.length;n++)e[n].withChildren().forEach((function(e){t.add(e)}));return t},u.prototype.getNoOfChildren=function(){var t=0;if(null==this.child)t=1;else for(var e=this.child.getNodes(),n=0;n<e.length;n++)t+=e[n].getNoOfChildren();return 0==t&&(t=1),t},u.prototype.getEstimatedSize=function(){if(this.estimatedSize==r.MIN_VALUE)throw"assert failed";return this.estimatedSize},u.prototype.calcEstimatedSize=function(){return null==this.child?this.estimatedSize=(this.rect.width+this.rect.height)/2:(this.estimatedSize=this.child.calcEstimatedSize(),this.rect.width=this.estimatedSize,this.rect.height=this.estimatedSize,this.estimatedSize)},u.prototype.scatter=function(){var t,e,n=-o.INITIAL_WORLD_BOUNDARY,i=o.INITIAL_WORLD_BOUNDARY;t=o.WORLD_CENTER_X+s.nextDouble()*(i-n)+n;var r=-o.INITIAL_WORLD_BOUNDARY,a=o.INITIAL_WORLD_BOUNDARY;e=o.WORLD_CENTER_Y+s.nextDouble()*(a-r)+r,this.rect.x=t,this.rect.y=e},u.prototype.updateBounds=function(){if(null==this.getChild())throw"assert failed";if(0!=this.getChild().getNodes().length){var t=this.getChild();if(t.updateBounds(!0),this.rect.x=t.getLeft(),this.rect.y=t.getTop(),this.setWidth(t.getRight()-t.getLeft()),this.setHeight(t.getBottom()-t.getTop()),o.NODE_DIMENSIONS_INCLUDE_LABELS){var e=t.getRight()-t.getLeft(),n=t.getBottom()-t.getTop();this.labelWidth>e&&(this.rect.x-=(this.labelWidth-e)/2,this.setWidth(this.labelWidth)),this.labelHeight>n&&("center"==this.labelPos?this.rect.y-=(this.labelHeight-n)/2:"top"==this.labelPos&&(this.rect.y-=this.labelHeight-n),this.setHeight(this.labelHeight))}}},u.prototype.getInclusionTreeDepth=function(){if(this.inclusionTreeDepth==r.MAX_VALUE)throw"assert failed";return this.inclusionTreeDepth},u.prototype.transform=function(t){var e=this.rect.x;e>o.WORLD_BOUNDARY?e=o.WORLD_BOUNDARY:e<-o.WORLD_BOUNDARY&&(e=-o.WORLD_BOUNDARY);var n=this.rect.y;n>o.WORLD_BOUNDARY?n=o.WORLD_BOUNDARY:n<-o.WORLD_BOUNDARY&&(n=-o.WORLD_BOUNDARY);var i=new c(e,n),r=t.inverseTransformPoint(i);this.setLocation(r.x,r.y)},u.prototype.getLeft=function(){return this.rect.x},u.prototype.getRight=function(){return this.rect.x+this.rect.width},u.prototype.getTop=function(){return this.rect.y},u.prototype.getBottom=function(){return this.rect.y+this.rect.height},u.prototype.getParent=function(){return null==this.owner?null:this.owner.getParent()},t.exports=u},function(t,e,n){"use strict";function i(t,e){null==t&&null==e?(this.x=0,this.y=0):(this.x=t,this.y=e)}i.prototype.getX=function(){return this.x},i.prototype.getY=function(){return this.y},i.prototype.setX=function(t){this.x=t},i.prototype.setY=function(t){this.y=t},i.prototype.getDifference=function(t){return new DimensionD(this.x-t.x,this.y-t.y)},i.prototype.getCopy=function(){return new i(this.x,this.y)},i.prototype.translate=function(t){return this.x+=t.width,this.y+=t.height,this},t.exports=i},function(t,e,n){"use strict";var i=n(2),r=n(10),a=n(0),o=n(6),s=n(3),c=n(1),u=n(13),l=n(12),h=n(11);function f(t,e,n){i.call(this,n),this.estimatedSize=r.MIN_VALUE,this.margin=a.DEFAULT_GRAPH_MARGIN,this.edges=[],this.nodes=[],this.isConnected=!1,this.parent=t,null!=e&&e instanceof o?this.graphManager=e:null!=e&&e instanceof Layout&&(this.graphManager=e.graphManager)}for(var d in f.prototype=Object.create(i.prototype),i)f[d]=i[d];f.prototype.getNodes=function(){return this.nodes},f.prototype.getEdges=function(){return this.edges},f.prototype.getGraphManager=function(){return this.graphManager},f.prototype.getParent=function(){return this.parent},f.prototype.getLeft=function(){return this.left},f.prototype.getRight=function(){return this.right},f.prototype.getTop=function(){return this.top},f.prototype.getBottom=function(){return this.bottom},f.prototype.isConnected=function(){return this.isConnected},f.prototype.add=function(t,e,n){if(null==e&&null==n){var i=t;if(null==this.graphManager)throw"Graph has no graph mgr!";if(this.getNodes().indexOf(i)>-1)throw"Node already in graph!";return i.owner=this,this.getNodes().push(i),i}var r=t;if(!(this.getNodes().indexOf(e)>-1&&this.getNodes().indexOf(n)>-1))throw"Source or target not in graph!";if(e.owner!=n.owner||e.owner!=this)throw"Both owners must be this graph!";return e.owner!=n.owner?null:(r.source=e,r.target=n,r.isInterGraph=!1,this.getEdges().push(r),e.edges.push(r),n!=e&&n.edges.push(r),r)},f.prototype.remove=function(t){var e=t;if(t instanceof s){if(null==e)throw"Node is null!";if(null==e.owner||e.owner!=this)throw"Owner graph is invalid!";if(null==this.graphManager)throw"Owner graph manager is invalid!";for(var n=e.edges.slice(),i=n.length,r=0;r<i;r++)(a=n[r]).isInterGraph?this.graphManager.remove(a):a.source.owner.remove(a);if(-1==(o=this.nodes.indexOf(e)))throw"Node not in owner node list!";this.nodes.splice(o,1)}else if(t instanceof c){var a;if(null==(a=t))throw"Edge is null!";if(null==a.source||null==a.target)throw"Source and/or target is null!";if(null==a.source.owner||null==a.target.owner||a.source.owner!=this||a.target.owner!=this)throw"Source and/or target owner is invalid!";var o,u=a.source.edges.indexOf(a),l=a.target.edges.indexOf(a);if(!(u>-1&&l>-1))throw"Source and/or target doesn't know this edge!";if(a.source.edges.splice(u,1),a.target!=a.source&&a.target.edges.splice(l,1),-1==(o=a.source.owner.getEdges().indexOf(a)))throw"Not in owner's edge list!";a.source.owner.getEdges().splice(o,1)}},f.prototype.updateLeftTop=function(){for(var t,e,n,i=r.MAX_VALUE,a=r.MAX_VALUE,o=this.getNodes(),s=o.length,c=0;c<s;c++){var u=o[c];i>(t=u.getTop())&&(i=t),a>(e=u.getLeft())&&(a=e)}return i==r.MAX_VALUE?null:(n=null!=o[0].getParent().paddingLeft?o[0].getParent().paddingLeft:this.margin,this.left=a-n,this.top=i-n,new l(this.left,this.top))},f.prototype.updateBounds=function(t){for(var e,n,i,a,o,s=r.MAX_VALUE,c=-r.MAX_VALUE,l=r.MAX_VALUE,h=-r.MAX_VALUE,f=this.nodes,d=f.length,g=0;g<d;g++){var p=f[g];t&&null!=p.child&&p.updateBounds(),s>(e=p.getLeft())&&(s=e),c<(n=p.getRight())&&(c=n),l>(i=p.getTop())&&(l=i),h<(a=p.getBottom())&&(h=a)}var b=new u(s,l,c-s,h-l);s==r.MAX_VALUE&&(this.left=this.parent.getLeft(),this.right=this.parent.getRight(),this.top=this.parent.getTop(),this.bottom=this.parent.getBottom()),o=null!=f[0].getParent().paddingLeft?f[0].getParent().paddingLeft:this.margin,this.left=b.x-o,this.right=b.x+b.width+o,this.top=b.y-o,this.bottom=b.y+b.height+o},f.calculateBounds=function(t){for(var e,n,i,a,o=r.MAX_VALUE,s=-r.MAX_VALUE,c=r.MAX_VALUE,l=-r.MAX_VALUE,h=t.length,f=0;f<h;f++){var d=t[f];o>(e=d.getLeft())&&(o=e),s<(n=d.getRight())&&(s=n),c>(i=d.getTop())&&(c=i),l<(a=d.getBottom())&&(l=a)}return new u(o,c,s-o,l-c)},f.prototype.getInclusionTreeDepth=function(){return this==this.graphManager.getRoot()?1:this.parent.getInclusionTreeDepth()},f.prototype.getEstimatedSize=function(){if(this.estimatedSize==r.MIN_VALUE)throw"assert failed";return this.estimatedSize},f.prototype.calcEstimatedSize=function(){for(var t=0,e=this.nodes,n=e.length,i=0;i<n;i++)t+=e[i].calcEstimatedSize();return this.estimatedSize=0==t?a.EMPTY_COMPOUND_NODE_SIZE:t/Math.sqrt(this.nodes.length),this.estimatedSize},f.prototype.updateConnected=function(){var t=this;if(0!=this.nodes.length){var e,n,i=new h,r=new Set,a=this.nodes[0];for(a.withChildren().forEach((function(t){i.push(t),r.add(t)}));0!==i.length;)for(var o=(e=(a=i.shift()).getEdges()).length,s=0;s<o;s++)null==(n=e[s].getOtherEndInGraph(a,this))||r.has(n)||n.withChildren().forEach((function(t){i.push(t),r.add(t)}));if(this.isConnected=!1,r.size>=this.nodes.length){var c=0;r.forEach((function(e){e.owner==t&&c++})),c==this.nodes.length&&(this.isConnected=!0)}}else this.isConnected=!0},t.exports=f},function(t,e,n){"use strict";var i,r=n(1);function a(t){i=n(5),this.layout=t,this.graphs=[],this.edges=[]}a.prototype.addRoot=function(){var t=this.layout.newGraph(),e=this.layout.newNode(null),n=this.add(t,e);return this.setRootGraph(n),this.rootGraph},a.prototype.add=function(t,e,n,i,r){if(null==n&&null==i&&null==r){if(null==t)throw"Graph is null!";if(null==e)throw"Parent node is null!";if(this.graphs.indexOf(t)>-1)throw"Graph already in this graph mgr!";if(this.graphs.push(t),null!=t.parent)throw"Already has a parent!";if(null!=e.child)throw"Already has a child!";return t.parent=e,e.child=t,t}r=n,n=t;var a=(i=e).getOwner(),o=r.getOwner();if(null==a||a.getGraphManager()!=this)throw"Source not in this graph mgr!";if(null==o||o.getGraphManager()!=this)throw"Target not in this graph mgr!";if(a==o)return n.isInterGraph=!1,a.add(n,i,r);if(n.isInterGraph=!0,n.source=i,n.target=r,this.edges.indexOf(n)>-1)throw"Edge already in inter-graph edge list!";if(this.edges.push(n),null==n.source||null==n.target)throw"Edge source and/or target is null!";if(-1!=n.source.edges.indexOf(n)||-1!=n.target.edges.indexOf(n))throw"Edge already in source and/or target incidency list!";return n.source.edges.push(n),n.target.edges.push(n),n},a.prototype.remove=function(t){if(t instanceof i){var e=t;if(e.getGraphManager()!=this)throw"Graph not in this graph mgr";if(e!=this.rootGraph&&(null==e.parent||e.parent.graphManager!=this))throw"Invalid parent node!";for(var n,a=[],o=(a=a.concat(e.getEdges())).length,s=0;s<o;s++)n=a[s],e.remove(n);var c,u=[];for(o=(u=u.concat(e.getNodes())).length,s=0;s<o;s++)c=u[s],e.remove(c);e==this.rootGraph&&this.setRootGraph(null);var l=this.graphs.indexOf(e);this.graphs.splice(l,1),e.parent=null}else if(t instanceof r){if(null==(n=t))throw"Edge is null!";if(!n.isInterGraph)throw"Not an inter-graph edge!";if(null==n.source||null==n.target)throw"Source and/or target is null!";if(-1==n.source.edges.indexOf(n)||-1==n.target.edges.indexOf(n))throw"Source and/or target doesn't know this edge!";if(l=n.source.edges.indexOf(n),n.source.edges.splice(l,1),l=n.target.edges.indexOf(n),n.target.edges.splice(l,1),null==n.source.owner||null==n.source.owner.getGraphManager())throw"Edge owner graph or owner graph manager is null!";if(-1==n.source.owner.getGraphManager().edges.indexOf(n))throw"Not in owner graph manager's edge list!";l=n.source.owner.getGraphManager().edges.indexOf(n),n.source.owner.getGraphManager().edges.splice(l,1)}},a.prototype.updateBounds=function(){this.rootGraph.updateBounds(!0)},a.prototype.getGraphs=function(){return this.graphs},a.prototype.getAllNodes=function(){if(null==this.allNodes){for(var t=[],e=this.getGraphs(),n=e.length,i=0;i<n;i++)t=t.concat(e[i].getNodes());this.allNodes=t}return this.allNodes},a.prototype.resetAllNodes=function(){this.allNodes=null},a.prototype.resetAllEdges=function(){this.allEdges=null},a.prototype.resetAllNodesToApplyGravitation=function(){this.allNodesToApplyGravitation=null},a.prototype.getAllEdges=function(){if(null==this.allEdges){for(var t=[],e=this.getGraphs(),n=(e.length,0);n<e.length;n++)t=t.concat(e[n].getEdges());t=t.concat(this.edges),this.allEdges=t}return this.allEdges},a.prototype.getAllNodesToApplyGravitation=function(){return this.allNodesToApplyGravitation},a.prototype.setAllNodesToApplyGravitation=function(t){if(null!=this.allNodesToApplyGravitation)throw"assert failed";this.allNodesToApplyGravitation=t},a.prototype.getRoot=function(){return this.rootGraph},a.prototype.setRootGraph=function(t){if(t.getGraphManager()!=this)throw"Root not in this graph mgr!";this.rootGraph=t,null==t.parent&&(t.parent=this.layout.newNode("Root node"))},a.prototype.getLayout=function(){return this.layout},a.prototype.isOneAncestorOfOther=function(t,e){if(null==t||null==e)throw"assert failed";if(t==e)return!0;for(var n,i=t.getOwner();null!=(n=i.getParent());){if(n==e)return!0;if(null==(i=n.getOwner()))break}for(i=e.getOwner();null!=(n=i.getParent());){if(n==t)return!0;if(null==(i=n.getOwner()))break}return!1},a.prototype.calcLowestCommonAncestors=function(){for(var t,e,n,i,r,a=this.getAllEdges(),o=a.length,s=0;s<o;s++)if(e=(t=a[s]).source,n=t.target,t.lca=null,t.sourceInLca=e,t.targetInLca=n,e!=n){for(i=e.getOwner();null==t.lca;){for(t.targetInLca=n,r=n.getOwner();null==t.lca;){if(r==i){t.lca=r;break}if(r==this.rootGraph)break;if(null!=t.lca)throw"assert failed";t.targetInLca=r.getParent(),r=t.targetInLca.getOwner()}if(i==this.rootGraph)break;null==t.lca&&(t.sourceInLca=i.getParent(),i=t.sourceInLca.getOwner())}if(null==t.lca)throw"assert failed"}else t.lca=e.getOwner()},a.prototype.calcLowestCommonAncestor=function(t,e){if(t==e)return t.getOwner();for(var n=t.getOwner();null!=n;){for(var i=e.getOwner();null!=i;){if(i==n)return i;i=i.getParent().getOwner()}n=n.getParent().getOwner()}return n},a.prototype.calcInclusionTreeDepths=function(t,e){var n;null==t&&null==e&&(t=this.rootGraph,e=1);for(var i=t.getNodes(),r=i.length,a=0;a<r;a++)(n=i[a]).inclusionTreeDepth=e,null!=n.child&&this.calcInclusionTreeDepths(n.child,e+1)},a.prototype.includesInvalidEdge=function(){for(var t,e=this.edges.length,n=0;n<e;n++)if(t=this.edges[n],this.isOneAncestorOfOther(t.source,t.target))return!0;return!1},t.exports=a},function(t,e,n){"use strict";var i=n(0);function r(){}for(var a in i)r[a]=i[a];r.MAX_ITERATIONS=2500,r.DEFAULT_EDGE_LENGTH=50,r.DEFAULT_SPRING_STRENGTH=.45,r.DEFAULT_REPULSION_STRENGTH=4500,r.DEFAULT_GRAVITY_STRENGTH=.4,r.DEFAULT_COMPOUND_GRAVITY_STRENGTH=1,r.DEFAULT_GRAVITY_RANGE_FACTOR=3.8,r.DEFAULT_COMPOUND_GRAVITY_RANGE_FACTOR=1.5,r.DEFAULT_USE_SMART_IDEAL_EDGE_LENGTH_CALCULATION=!0,r.DEFAULT_USE_SMART_REPULSION_RANGE_CALCULATION=!0,r.DEFAULT_COOLING_FACTOR_INCREMENTAL=.3,r.COOLING_ADAPTATION_FACTOR=.33,r.ADAPTATION_LOWER_NODE_LIMIT=1e3,r.ADAPTATION_UPPER_NODE_LIMIT=5e3,r.MAX_NODE_DISPLACEMENT_INCREMENTAL=100,r.MAX_NODE_DISPLACEMENT=3*r.MAX_NODE_DISPLACEMENT_INCREMENTAL,r.MIN_REPULSION_DIST=r.DEFAULT_EDGE_LENGTH/10,r.CONVERGENCE_CHECK_PERIOD=100,r.PER_LEVEL_IDEAL_EDGE_LENGTH_FACTOR=.1,r.MIN_EDGE_LENGTH=1,r.GRID_CALCULATION_CHECK_PERIOD=10,t.exports=r},function(t,e,n){"use strict";var i=n(12);function r(){}r.calcSeparationAmount=function(t,e,n,i){if(!t.intersects(e))throw"assert failed";var r=new Array(2);this.decideDirectionsForOverlappingNodes(t,e,r),n[0]=Math.min(t.getRight(),e.getRight())-Math.max(t.x,e.x),n[1]=Math.min(t.getBottom(),e.getBottom())-Math.max(t.y,e.y),t.getX()<=e.getX()&&t.getRight()>=e.getRight()?n[0]+=Math.min(e.getX()-t.getX(),t.getRight()-e.getRight()):e.getX()<=t.getX()&&e.getRight()>=t.getRight()&&(n[0]+=Math.min(t.getX()-e.getX(),e.getRight()-t.getRight())),t.getY()<=e.getY()&&t.getBottom()>=e.getBottom()?n[1]+=Math.min(e.getY()-t.getY(),t.getBottom()-e.getBottom()):e.getY()<=t.getY()&&e.getBottom()>=t.getBottom()&&(n[1]+=Math.min(t.getY()-e.getY(),e.getBottom()-t.getBottom()));var a=Math.abs((e.getCenterY()-t.getCenterY())/(e.getCenterX()-t.getCenterX()));e.getCenterY()===t.getCenterY()&&e.getCenterX()===t.getCenterX()&&(a=1);var o=a*n[0],s=n[1]/a;n[0]<s?s=n[0]:o=n[1],n[0]=-1*r[0]*(s/2+i),n[1]=-1*r[1]*(o/2+i)},r.decideDirectionsForOverlappingNodes=function(t,e,n){t.getCenterX()<e.getCenterX()?n[0]=-1:n[0]=1,t.getCenterY()<e.getCenterY()?n[1]=-1:n[1]=1},r.getIntersection2=function(t,e,n){var i=t.getCenterX(),r=t.getCenterY(),a=e.getCenterX(),o=e.getCenterY();if(t.intersects(e))return n[0]=i,n[1]=r,n[2]=a,n[3]=o,!0;var s=t.getX(),c=t.getY(),u=t.getRight(),l=t.getX(),h=t.getBottom(),f=t.getRight(),d=t.getWidthHalf(),g=t.getHeightHalf(),p=e.getX(),b=e.getY(),w=e.getRight(),y=e.getX(),m=e.getBottom(),v=e.getRight(),x=e.getWidthHalf(),k=e.getHeightHalf(),_=!1,E=!1;if(i===a){if(r>o)return n[0]=i,n[1]=c,n[2]=a,n[3]=m,!1;if(r<o)return n[0]=i,n[1]=h,n[2]=a,n[3]=b,!1}else if(r===o){if(i>a)return n[0]=s,n[1]=r,n[2]=w,n[3]=o,!1;if(i<a)return n[0]=u,n[1]=r,n[2]=p,n[3]=o,!1}else{var T=t.height/t.width,C=e.height/e.width,S=(o-r)/(a-i),A=void 0,M=void 0,I=void 0,L=void 0,D=void 0,O=void 0;if(-T===S?i>a?(n[0]=l,n[1]=h,_=!0):(n[0]=u,n[1]=c,_=!0):T===S&&(i>a?(n[0]=s,n[1]=c,_=!0):(n[0]=f,n[1]=h,_=!0)),-C===S?a>i?(n[2]=y,n[3]=m,E=!0):(n[2]=w,n[3]=b,E=!0):C===S&&(a>i?(n[2]=p,n[3]=b,E=!0):(n[2]=v,n[3]=m,E=!0)),_&&E)return!1;if(i>a?r>o?(A=this.getCardinalDirection(T,S,4),M=this.getCardinalDirection(C,S,2)):(A=this.getCardinalDirection(-T,S,3),M=this.getCardinalDirection(-C,S,1)):r>o?(A=this.getCardinalDirection(-T,S,1),M=this.getCardinalDirection(-C,S,3)):(A=this.getCardinalDirection(T,S,2),M=this.getCardinalDirection(C,S,4)),!_)switch(A){case 1:L=c,I=i+-g/S,n[0]=I,n[1]=L;break;case 2:I=f,L=r+d*S,n[0]=I,n[1]=L;break;case 3:L=h,I=i+g/S,n[0]=I,n[1]=L;break;case 4:I=l,L=r+-d*S,n[0]=I,n[1]=L}if(!E)switch(M){case 1:O=b,D=a+-k/S,n[2]=D,n[3]=O;break;case 2:D=v,O=o+x*S,n[2]=D,n[3]=O;break;case 3:O=m,D=a+k/S,n[2]=D,n[3]=O;break;case 4:D=y,O=o+-x*S,n[2]=D,n[3]=O}}return!1},r.getCardinalDirection=function(t,e,n){return t>e?n:1+n%4},r.getIntersection=function(t,e,n,r){if(null==r)return this.getIntersection2(t,e,n);var a,o,s,c,u,l,h,f=t.x,d=t.y,g=e.x,p=e.y,b=n.x,w=n.y,y=r.x,m=r.y;return 0==(h=(a=p-d)*(c=b-y)-(o=m-w)*(s=f-g))?null:new i((s*(l=y*w-b*m)-c*(u=g*d-f*p))/h,(o*u-a*l)/h)},r.angleOfVector=function(t,e,n,i){var r=void 0;return t!==n?(r=Math.atan((i-e)/(n-t)),n<t?r+=Math.PI:i<e&&(r+=this.TWO_PI)):r=i<e?this.ONE_AND_HALF_PI:this.HALF_PI,r},r.doIntersect=function(t,e,n,i){var r=t.x,a=t.y,o=e.x,s=e.y,c=n.x,u=n.y,l=i.x,h=i.y,f=(o-r)*(h-u)-(l-c)*(s-a);if(0===f)return!1;var d=((h-u)*(l-r)+(c-l)*(h-a))/f,g=((a-s)*(l-r)+(o-r)*(h-a))/f;return 0<d&&d<1&&0<g&&g<1},r.HALF_PI=.5*Math.PI,r.ONE_AND_HALF_PI=1.5*Math.PI,r.TWO_PI=2*Math.PI,r.THREE_PI=3*Math.PI,t.exports=r},function(t,e,n){"use strict";function i(){}i.sign=function(t){return t>0?1:t<0?-1:0},i.floor=function(t){return t<0?Math.ceil(t):Math.floor(t)},i.ceil=function(t){return t<0?Math.floor(t):Math.ceil(t)},t.exports=i},function(t,e,n){"use strict";function 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t=this.getAllNodes().length;this.incremental?(t>r.ADAPTATION_LOWER_NODE_LIMIT&&(this.coolingFactor=Math.max(this.coolingFactor*r.COOLING_ADAPTATION_FACTOR,this.coolingFactor-(t-r.ADAPTATION_LOWER_NODE_LIMIT)/(r.ADAPTATION_UPPER_NODE_LIMIT-r.ADAPTATION_LOWER_NODE_LIMIT)*this.coolingFactor*(1-r.COOLING_ADAPTATION_FACTOR))),this.maxNodeDisplacement=r.MAX_NODE_DISPLACEMENT_INCREMENTAL):(t>r.ADAPTATION_LOWER_NODE_LIMIT?this.coolingFactor=Math.max(r.COOLING_ADAPTATION_FACTOR,1-(t-r.ADAPTATION_LOWER_NODE_LIMIT)/(r.ADAPTATION_UPPER_NODE_LIMIT-r.ADAPTATION_LOWER_NODE_LIMIT)*(1-r.COOLING_ADAPTATION_FACTOR)):this.coolingFactor=1,this.initialCoolingFactor=this.coolingFactor,this.maxNodeDisplacement=r.MAX_NODE_DISPLACEMENT),this.maxIterations=Math.max(5*this.getAllNodes().length,this.maxIterations),this.totalDisplacementThreshold=this.displacementThresholdPerNode*this.getAllNodes().length,this.repulsionRange=this.calcRepulsionRange()},c.prototype.calcSpringForces=function(){for(var t,e=this.getAllEdges(),n=0;n<e.length;n++)t=e[n],this.calcSpringForce(t,t.idealLength)},c.prototype.calcRepulsionForces=function(){var t,e,n,i,a,o=!(arguments.length>0&&void 0!==arguments[0])||arguments[0],s=arguments.length>1&&void 0!==arguments[1]&&arguments[1],c=this.getAllNodes();if(this.useFRGridVariant)for(this.totalIterations%r.GRID_CALCULATION_CHECK_PERIOD==1&&o&&this.updateGrid(),a=new Set,t=0;t<c.length;t++)n=c[t],this.calculateRepulsionForceOfANode(n,a,o,s),a.add(n);else for(t=0;t<c.length;t++)for(n=c[t],e=t+1;e<c.length;e++)i=c[e],n.getOwner()==i.getOwner()&&this.calcRepulsionForce(n,i)},c.prototype.calcGravitationalForces=function(){for(var t,e=this.getAllNodesToApplyGravitation(),n=0;n<e.length;n++)t=e[n],this.calcGravitationalForce(t)},c.prototype.moveNodes=function(){for(var t=this.getAllNodes(),e=0;e<t.length;e++)t[e].move()},c.prototype.calcSpringForce=function(t,e){var n,i,r,a,o=t.getSource(),s=t.getTarget();if(this.uniformLeafNodeSizes&&null==o.getChild()&&null==s.getChild())t.updateLengthSimple();else if(t.updateLength(),t.isOverlapingSourceAndTarget)return;0!=(n=t.getLength())&&(r=(i=this.springConstant*(n-e))*(t.lengthX/n),a=i*(t.lengthY/n),o.springForceX+=r,o.springForceY+=a,s.springForceX-=r,s.springForceY-=a)},c.prototype.calcRepulsionForce=function(t,e){var n,i,a,c,u,l,h,f=t.getRect(),d=e.getRect(),g=new Array(2),p=new Array(4);if(f.intersects(d)){o.calcSeparationAmount(f,d,g,r.DEFAULT_EDGE_LENGTH/2),l=2*g[0],h=2*g[1];var b=t.noOfChildren*e.noOfChildren/(t.noOfChildren+e.noOfChildren);t.repulsionForceX-=b*l,t.repulsionForceY-=b*h,e.repulsionForceX+=b*l,e.repulsionForceY+=b*h}else this.uniformLeafNodeSizes&&null==t.getChild()&&null==e.getChild()?(n=d.getCenterX()-f.getCenterX(),i=d.getCenterY()-f.getCenterY()):(o.getIntersection(f,d,p),n=p[2]-p[0],i=p[3]-p[1]),Math.abs(n)<r.MIN_REPULSION_DIST&&(n=s.sign(n)*r.MIN_REPULSION_DIST),Math.abs(i)<r.MIN_REPULSION_DIST&&(i=s.sign(i)*r.MIN_REPULSION_DIST),a=n*n+i*i,c=Math.sqrt(a),l=(u=this.repulsionConstant*t.noOfChildren*e.noOfChildren/a)*n/c,h=u*i/c,t.repulsionForceX-=l,t.repulsionForceY-=h,e.repulsionForceX+=l,e.repulsionForceY+=h},c.prototype.calcGravitationalForce=function(t){var e,n,i,r,a,o,s,c;n=((e=t.getOwner()).getRight()+e.getLeft())/2,i=(e.getTop()+e.getBottom())/2,r=t.getCenterX()-n,a=t.getCenterY()-i,o=Math.abs(r)+t.getWidth()/2,s=Math.abs(a)+t.getHeight()/2,t.getOwner()==this.graphManager.getRoot()?(o>(c=e.getEstimatedSize()*this.gravityRangeFactor)||s>c)&&(t.gravitationForceX=-this.gravityConstant*r,t.gravitationForceY=-this.gravityConstant*a):(o>(c=e.getEstimatedSize()*this.compoundGravityRangeFactor)||s>c)&&(t.gravitationForceX=-this.gravityConstant*r*this.compoundGravityConstant,t.gravitationForceY=-this.gravityConstant*a*this.compoundGravityConstant)},c.prototype.isConverged=function(){var t,e=!1;return this.totalIterations>this.maxIterations/3&&(e=Math.abs(this.totalDisplacement-this.oldTotalDisplacement)<2),t=this.totalDisplacement<this.totalDisplacementThreshold,this.oldTotalDisplacement=this.totalDisplacement,t||e},c.prototype.animate=function(){this.animationDuringLayout&&!this.isSubLayout&&(this.notAnimatedIterations==this.animationPeriod?(this.update(),this.notAnimatedIterations=0):this.notAnimatedIterations++)},c.prototype.calcNoOfChildrenForAllNodes=function(){for(var t,e=this.graphManager.getAllNodes(),n=0;n<e.length;n++)(t=e[n]).noOfChildren=t.getNoOfChildren()},c.prototype.calcGrid=function(t){var e,n;e=parseInt(Math.ceil((t.getRight()-t.getLeft())/this.repulsionRange)),n=parseInt(Math.ceil((t.getBottom()-t.getTop())/this.repulsionRange));for(var i=new Array(e),r=0;r<e;r++)i[r]=new Array(n);for(r=0;r<e;r++)for(var a=0;a<n;a++)i[r][a]=new Array;return i},c.prototype.addNodeToGrid=function(t,e,n){var i,r,a,o;i=parseInt(Math.floor((t.getRect().x-e)/this.repulsionRange)),r=parseInt(Math.floor((t.getRect().width+t.getRect().x-e)/this.repulsionRange)),a=parseInt(Math.floor((t.getRect().y-n)/this.repulsionRange)),o=parseInt(Math.floor((t.getRect().height+t.getRect().y-n)/this.repulsionRange));for(var s=i;s<=r;s++)for(var c=a;c<=o;c++)this.grid[s][c].push(t),t.setGridCoordinates(i,r,a,o)},c.prototype.updateGrid=function(){var t,e,n=this.getAllNodes();for(this.grid=this.calcGrid(this.graphManager.getRoot()),t=0;t<n.length;t++)e=n[t],this.addNodeToGrid(e,this.graphManager.getRoot().getLeft(),this.graphManager.getRoot().getTop())},c.prototype.calculateRepulsionForceOfANode=function(t,e,n,i){if(this.totalIterations%r.GRID_CALCULATION_CHECK_PERIOD==1&&n||i){var a,o=new Set;t.surrounding=new Array;for(var s=this.grid,c=t.startX-1;c<t.finishX+2;c++)for(var u=t.startY-1;u<t.finishY+2;u++)if(!(c<0||u<0||c>=s.length||u>=s[0].length))for(var l=0;l<s[c][u].length;l++)if(a=s[c][u][l],t.getOwner()==a.getOwner()&&t!=a&&!e.has(a)&&!o.has(a)){var h=Math.abs(t.getCenterX()-a.getCenterX())-(t.getWidth()/2+a.getWidth()/2),f=Math.abs(t.getCenterY()-a.getCenterY())-(t.getHeight()/2+a.getHeight()/2);h<=this.repulsionRange&&f<=this.repulsionRange&&o.add(a)}t.surrounding=[].concat(function(t){if(Array.isArray(t)){for(var e=0,n=Array(t.length);e<t.length;e++)n[e]=t[e];return n}return Array.from(t)}(o))}for(c=0;c<t.surrounding.length;c++)this.calcRepulsionForce(t,t.surrounding[c])},c.prototype.calcRepulsionRange=function(){return 0},t.exports=c},function(t,e,n){"use strict";var i=n(1),r=n(7);function a(t,e,n){i.call(this,t,e,n),this.idealLength=r.DEFAULT_EDGE_LENGTH}for(var o in a.prototype=Object.create(i.prototype),i)a[o]=i[o];t.exports=a},function(t,e,n){"use strict";var i=n(3);function r(t,e,n,r){i.call(this,t,e,n,r),this.springForceX=0,this.springForceY=0,this.repulsionForceX=0,this.repulsionForceY=0,this.gravitationForceX=0,this.gravitationForceY=0,this.displacementX=0,this.displacementY=0,this.startX=0,this.finishX=0,this.startY=0,this.finishY=0,this.surrounding=[]}for(var a in r.prototype=Object.create(i.prototype),i)r[a]=i[a];r.prototype.setGridCoordinates=function(t,e,n,i){this.startX=t,this.finishX=e,this.startY=n,this.finishY=i},t.exports=r},function(t,e,n){"use strict";function i(t,e){this.width=0,this.height=0,null!==t&&null!==e&&(this.height=e,this.width=t)}i.prototype.getWidth=function(){return this.width},i.prototype.setWidth=function(t){this.width=t},i.prototype.getHeight=function(){return this.height},i.prototype.setHeight=function(t){this.height=t},t.exports=i},function(t,e,n){"use strict";var i=n(14);function r(){this.map={},this.keys=[]}r.prototype.put=function(t,e){var 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instanceof r?t.get_object_at(e):t[e]}},{key:"_set",value:function(t,e,n){t instanceof r?t.set_object_at(e,n):t[e]=n}},{key:"_swap",value:function(t,e,n){var i=this._get(t,e);this._set(t,e,this._get(t,n)),this._set(t,n,i)}},{key:"_defaultCompareFunction",value:function(t,e){return e>t}}]),t}();t.exports=a},function(t,e,n){"use strict";var i=function(){function t(t,e){for(var n=0;n<e.length;n++){var i=e[n];i.enumerable=i.enumerable||!1,i.configurable=!0,"value"in i&&(i.writable=!0),Object.defineProperty(t,i.key,i)}}return function(e,n,i){return n&&t(e.prototype,n),i&&t(e,i),e}}();function r(t,e){if(!(t instanceof e))throw new TypeError("Cannot call a class as a function")}var a=function(){function t(e,n){var i=arguments.length>2&&void 0!==arguments[2]?arguments[2]:1,a=arguments.length>3&&void 0!==arguments[3]?arguments[3]:-1,o=arguments.length>4&&void 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83:this.$=""}},table:[{3:1,4:2,5:3,6:4,7:e,8:n,9:i,10:r,11:5,12:10,18:a,22:o,25:s,26:u,27:l,28:h},{1:[3]},{1:[2,1]},{1:[2,2]},{3:17,4:2,5:3,6:4,7:e,8:n,9:i,10:r,11:5,12:10,18:a,22:o,25:s,26:u,27:l,28:h},{1:[2,8]},{1:[2,4]},{1:[2,5]},{1:[2,6]},{1:[2,7]},{13:18,19:[1,19]},{15:[1,20]},{15:[1,21]},{15:[1,22]},{15:[1,23]},{15:[1,24]},{19:[2,11]},{1:[2,3]},{14:25,16:[1,26],21:f},t([16,21],[2,12]),{23:28,29:29,30:30,31:31,32:d,33:g,34:p,36:b,38:w,39:58,40:70,42:71,44:y,46:m,47:v,48:x,49:k,50:_,51:E,53:32,54:T,55:C,56:S,57:A,58:M,59:I,60:L,61:D,62:O,63:N,64:P,65:B,66:F,67:R,68:$,69:j,70:z,71:q,72:H,73:Z,74:U,75:Y,76:G,77:K,78:W,79:X,80:V,81:Q,82:J,83:tt,84:et},{23:79,29:29,30:30,31:31,32:d,33:g,34:p,36:b,38:w,39:58,40:70,42:71,44:y,46:m,47:v,48:x,49:k,50:_,51:E,53:32,54:T,55:C,56:S,57:A,58:M,59:I,60:L,61:D,62:O,63:N,64:P,65:B,66:F,67:R,68:$,69:j,70:z,71:q,72:H,73:Z,74:U,75:Y,76:G,77:K,78:W,79:X,80:V,81:Q,82:J,83:tt,84:et},{23:80,29:29,30:30,31:31,32:d,33:g,34:p,36:b,38:w,39:58,40:70,42:71,44:y,46:m,47:v,48:x,49:k,50:_,51:E,53:32,54:T,55:C,56:S,57:A,58:M,59:I,60:L,61:D,62:O,63:N,64:P,65:B,66:F,67:R,68:$,69:j,70:z,71:q,72:H,73:Z,74:U,75:Y,76:G,77:K,78:W,79:X,80:V,81:Q,82:J,83:tt,84:et},{23:81,29:29,30:30,31:31,32:d,33:g,34:p,36:b,38:w,39:58,40:70,42:71,44:y,46:m,47:v,48:x,49:k,50:_,51:E,53:32,54:T,55:C,56:S,57:A,58:M,59:I,60:L,61:D,62:O,63:N,64:P,65:B,66:F,67:R,68:$,69:j,70:z,71:q,72:H,73:Z,74:U,75:Y,76:G,77:K,78:W,79:X,80:V,81:Q,82:J,83:tt,84:et},{23:82,29:29,30:30,31:31,32:d,33:g,34:p,36:b,38:w,39:58,40:70,42:71,44:y,46:m,47:v,48:x,49:k,50:_,51:E,53:32,54:T,55:C,56:S,57:A,58:M,59:I,60:L,61:D,62:O,63:N,64:P,65:B,66:F,67:R,68:$,69:j,70:z,71:q,72:H,73:Z,74:U,75:Y,76:G,77:K,78:W,79:X,80:V,81:Q,82:J,83:tt,84:et},{15:[1,83]},{17:84,20:[1,85]},{15:[2,14]},{24:[1,86]},t(nt,[2,20],{53:32,39:58,40:70,42:71,30:87,44:y,46:m,47:v,48:x,49:k,50:_,51:E,54:T,55:C,56:S,57:A,58:M,59:I,60:L,61:D,62:O,63:N,64:P,65:B,66:F,67:R,68:$,69:j,70:z,71:q,72:H,73:Z,74:U,75:Y,76:G,77:K,78:W,79:X,80:V,81:Q,82:J,83:tt,84:et}),t(nt,[2,21]),t(it,[2,23],{15:[1,88]}),t(nt,[2,43],{15:[1,89]}),t(rt,[2,26]),t(rt,[2,27]),{35:[1,90]},{37:[1,91]},t(rt,[2,30]),{45:92,85:93,86:at,87:ot,89:st,90:ct},{45:98,85:93,86:at,87:ot,89:st,90:ct},{45:99,85:93,86:at,87:ot,89:st,90:ct},{45:100,85:93,86:at,87:ot,89:st,90:ct},{45:101,85:93,86:at,87:ot,89:st,90:ct},{45:102,85:93,86:at,87:ot,89:st,90:ct},{45:103,85:93,86:at,87:ot,89:st,90:ct},{45:104,85:93,86:at,87:ot,89:st,90:ct},{45:105,85:93,86:at,87:ot,89:st,90:ct},{45:106,85:93,86:at,87:ot,89:st,90:ct},{45:107,85:93,86:at,87:ot,89:st,90:ct},{45:108,85:93,86:at,87:ot,89:st,90:ct},{45:109,85:93,86:at,87:ot,89:st,90:ct},{45:110,85:93,86:at,87:ot,89:st,90:ct},{45:111,85:93,86:at,87:ot,89:st,90:ct},{45:112,85:93,86:at,87:ot,89:st,90:ct},{45:113,85:93,86:at,87:ot,89:st,90:ct},{45:114,85:93,86:at,87:ot,89:st,90:ct},{45:115,85:93,86:at,87:ot,89:st,90:ct},{45:116,85:93,86:at,87:ot,89:st,90:ct},t(ut,[2,66]),{45:117,85:93,86:at,87:ot,89:st,90:ct},{45:118,85:93,86:at,87:ot,89:st,90:ct},{45:119,85:93,86:at,87:ot,89:st,90:ct},{45:120,85:93,86:at,87:ot,89:st,90:ct},{45:121,85:93,86:at,87:ot,89:st,90:ct},{45:122,85:93,86:at,87:ot,89:st,90:ct},{45:123,85:93,86:at,87:ot,89:st,90:ct},{45:124,85:93,86:at,87:ot,89:st,90:ct},{45:125,85:93,86:at,87:ot,89:st,90:ct},{45:126,85:93,86:at,87:ot,89:st,90:ct},{45:127,85:93,86:at,87:ot,89:st,90:ct},{30:128,39:58,40:70,42:71,44:y,46:m,47:v,48:x,49:k,50:_,51:E,53:32,54:T,55:C,56:S,57:A,58:M,59:I,60:L,61:D,62:O,63:N,64:P,65:B,66:F,67:R,68:$,69:j,70:z,71:q,72:H,73:Z,74:U,75:Y,76:G,77:K,78:W,79:X,80:V,81:Q,82:J,83:tt,84:et},{15:[1,130],43:[1,129]},{45:131,85:93,86:at,87:ot,89:st,90:ct},{45:132,85:93,86:at,87:ot,89:st,90:ct},{45:133,85:93,86:at,87:ot,89:st,90:ct},{45:134,85:93,86:at,87:ot,89:st,90:ct},{45:135,85:93,86:at,87:ot,89:st,90:ct},{45:136,85:93,86:at,87:ot,89:st,90:ct},{45:137,85:93,86:at,87:ot,89:st,90:ct},{24:[1,138]},{24:[1,139]},{24:[1,140]},{24:[1,141]},t(lt,[2,9]),{14:142,21:f},{21:[2,13]},{1:[2,15]},t(nt,[2,22]),t(it,[2,24],{31:31,29:143,32:d,33:g,34:p,36:b,38:w}),t(nt,[2,44],{29:29,30:30,31:31,53:32,39:58,40:70,42:71,23:144,32:d,33:g,34:p,36:b,38:w,44:y,46:m,47:v,48:x,49:k,50:_,51:E,54:T,55:C,56:S,57:A,58:M,59:I,60:L,61:D,62:O,63:N,64:P,65:B,66:F,67:R,68:$,69:j,70:z,71:q,72:H,73:Z,74:U,75:Y,76:G,77:K,78:W,79:X,80:V,81:Q,82:J,83:tt,84:et}),t(rt,[2,28]),t(rt,[2,29]),t(ut,[2,46]),t(ht,[2,78],{85:93,45:145,86:at,87:ot,89:st,90:ct}),t(ft,[2,80]),{88:[1,146]},t(ft,[2,82]),t(ft,[2,83]),t(ut,[2,47]),t(ut,[2,48]),t(ut,[2,49]),t(ut,[2,50]),t(ut,[2,51]),t(ut,[2,52]),t(ut,[2,53]),t(ut,[2,54]),t(ut,[2,55]),t(ut,[2,56]),t(ut,[2,57]),t(ut,[2,58]),t(ut,[2,59]),t(ut,[2,60]),t(ut,[2,61]),t(ut,[2,62]),t(ut,[2,63]),t(ut,[2,64]),t(ut,[2,65]),t(ut,[2,67]),t(ut,[2,68]),t(ut,[2,69]),t(ut,[2,70]),t(ut,[2,71]),t(ut,[2,72]),t(ut,[2,73]),t(ut,[2,74]),t(ut,[2,75]),t(ut,[2,76]),t(ut,[2,77]),{41:147,52:[1,148]},{15:[1,149]},{43:[1,150]},t(dt,[2,35]),t(dt,[2,36]),t(dt,[2,37]),t(dt,[2,38]),t(dt,[2,39]),t(dt,[2,40]),t(dt,[2,41]),{1:[2,16]},{1:[2,17]},{1:[2,18]},{1:[2,19]},{15:[1,151]},t(it,[2,25]),t(nt,[2,45]),t(ht,[2,79]),t(ft,[2,81]),t(ut,[2,31]),t(ut,[2,42]),t(gt,[2,32]),t(gt,[2,33],{15:[1,152]}),t(lt,[2,10]),t(gt,[2,34])],defaultActions:{2:[2,1],3:[2,2],5:[2,8],6:[2,4],7:[2,5],8:[2,6],9:[2,7],16:[2,11],17:[2,3],27:[2,14],85:[2,13],86:[2,15],138:[2,16],139:[2,17],140:[2,18],141:[2,19]},parseError:function(t,e){if(!e.recoverable){var n=new Error(t);throw n.hash=e,n}this.trace(t)},parse:function(t){var e=this,n=[0],i=[],r=[null],a=[],o=this.table,s="",c=0,u=0,l=2,h=1,f=a.slice.call(arguments,1),d=Object.create(this.lexer),g={yy:{}};for(var p in this.yy)Object.prototype.hasOwnProperty.call(this.yy,p)&&(g.yy[p]=this.yy[p]);d.setInput(t,g.yy),g.yy.lexer=d,g.yy.parser=this,void 0===d.yylloc&&(d.yylloc={});var b=d.yylloc;a.push(b);var w=d.options&&d.options.ranges;function y(){var t;return"number"!=typeof(t=i.pop()||d.lex()||h)&&(t instanceof Array&&(t=(i=t).pop()),t=e.symbols_[t]||t),t}"function"==typeof g.yy.parseError?this.parseError=g.yy.parseError:this.parseError=Object.getPrototypeOf(this).parseError;for(var m,v,x,k,_,E,T,C,S={};;){if(v=n[n.length-1],this.defaultActions[v]?x=this.defaultActions[v]:(null==m&&(m=y()),x=o[v]&&o[v][m]),void 0===x||!x.length||!x[0]){var A="";for(_ in C=[],o[v])this.terminals_[_]&&_>l&&C.push("'"+this.terminals_[_]+"'");A=d.showPosition?"Parse error on line "+(c+1)+":\n"+d.showPosition()+"\nExpecting "+C.join(", ")+", got '"+(this.terminals_[m]||m)+"'":"Parse error on line "+(c+1)+": Unexpected "+(m==h?"end of input":"'"+(this.terminals_[m]||m)+"'"),this.parseError(A,{text:d.match,token:this.terminals_[m]||m,line:d.yylineno,loc:b,expected:C})}if(x[0]instanceof Array&&x.length>1)throw new Error("Parse Error: multiple actions possible at state: "+v+", token: "+m);switch(x[0]){case 1:n.push(m),r.push(d.yytext),a.push(d.yylloc),n.push(x[1]),m=null,u=d.yyleng,s=d.yytext,c=d.yylineno,b=d.yylloc;break;case 2:if(E=this.productions_[x[1]][1],S.$=r[r.length-E],S._$={first_line:a[a.length-(E||1)].first_line,last_line:a[a.length-1].last_line,first_column:a[a.length-(E||1)].first_column,last_column:a[a.length-1].last_column},w&&(S._$.range=[a[a.length-(E||1)].range[0],a[a.length-1].range[1]]),void 0!==(k=this.performAction.apply(S,[s,u,c,g.yy,x[1],r,a].concat(f))))return k;E&&(n=n.slice(0,-1*E*2),r=r.slice(0,-1*E),a=a.slice(0,-1*E)),n.push(this.productions_[x[1]][0]),r.push(S.$),a.push(S._$),T=o[n[n.length-2]][n[n.length-1]],n.push(T);break;case 3:return!0}}return!0}},bt={EOF:1,parseError:function(t,e){if(!this.yy.parser)throw new Error(t);this.yy.parser.parseError(t,e)},setInput:function(t,e){return this.yy=e||this.yy||{},this._input=t,this._more=this._backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match="",this.conditionStack=["INITIAL"],this.yylloc={first_line:1,first_column:0,last_line:1,last_column:0},this.options.ranges&&(this.yylloc.range=[0,0]),this.offset=0,this},input:function(){var t=this._input[0];return this.yytext+=t,this.yyleng++,this.offset++,this.match+=t,this.matched+=t,t.match(/(?:\r\n?|\n).*/g)?(this.yylineno++,this.yylloc.last_line++):this.yylloc.last_column++,this.options.ranges&&this.yylloc.range[1]++,this._input=this._input.slice(1),t},unput:function(t){var e=t.length,n=t.split(/(?:\r\n?|\n)/g);this._input=t+this._input,this.yytext=this.yytext.substr(0,this.yytext.length-e),this.offset-=e;var i=this.match.split(/(?:\r\n?|\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),n.length-1&&(this.yylineno-=n.length-1);var r=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:n?(n.length===i.length?this.yylloc.first_column:0)+i[i.length-n.length].length-n[0].length:this.yylloc.first_column-e},this.options.ranges&&(this.yylloc.range=[r[0],r[0]+this.yyleng-e]),this.yyleng=this.yytext.length,this},more:function(){return this._more=!0,this},reject:function(){return this.options.backtrack_lexer?(this._backtrack=!0,this):this.parseError("Lexical error on line "+(this.yylineno+1)+". You can only invoke reject() in the lexer when the lexer is of the backtracking persuasion (options.backtrack_lexer = true).\n"+this.showPosition(),{text:"",token:null,line:this.yylineno})},less:function(t){this.unput(this.match.slice(t))},pastInput:function(){var t=this.matched.substr(0,this.matched.length-this.match.length);return(t.length>20?"...":"")+t.substr(-20).replace(/\n/g,"")},upcomingInput:function(){var t=this.match;return t.length<20&&(t+=this._input.substr(0,20-t.length)),(t.substr(0,20)+(t.length>20?"...":"")).replace(/\n/g,"")},showPosition:function(){var t=this.pastInput(),e=new Array(t.length+1).join("-");return t+this.upcomingInput()+"\n"+e+"^"},test_match:function(t,e){var n,i,r;if(this.options.backtrack_lexer&&(r={yylineno:this.yylineno,yylloc:{first_line:this.yylloc.first_line,last_line:this.last_line,first_column:this.yylloc.first_column,last_column:this.yylloc.last_column},yytext:this.yytext,match:this.match,matches:this.matches,matched:this.matched,yyleng:this.yyleng,offset:this.offset,_more:this._more,_input:this._input,yy:this.yy,conditionStack:this.conditionStack.slice(0),done:this.done},this.options.ranges&&(r.yylloc.range=this.yylloc.range.slice(0))),(i=t[0].match(/(?:\r\n?|\n).*/g))&&(this.yylineno+=i.length),this.yylloc={first_line:this.yylloc.last_line,last_line:this.yylineno+1,first_column:this.yylloc.last_column,last_column:i?i[i.length-1].length-i[i.length-1].match(/\r?\n?/)[0].length:this.yylloc.last_column+t[0].length},this.yytext+=t[0],this.match+=t[0],this.matches=t,this.yyleng=this.yytext.length,this.options.ranges&&(this.yylloc.range=[this.offset,this.offset+=this.yyleng]),this._more=!1,this._backtrack=!1,this._input=this._input.slice(t[0].length),this.matched+=t[0],n=this.performAction.call(this,this.yy,this,e,this.conditionStack[this.conditionStack.length-1]),this.done&&this._input&&(this.done=!1),n)return n;if(this._backtrack){for(var a in r)this[a]=r[a];return!1}return!1},next:function(){if(this.done)return this.EOF;var t,e,n,i;this._input||(this.done=!0),this._more||(this.yytext="",this.match="");for(var r=this._currentRules(),a=0;a<r.length;a++)if((n=this._input.match(this.rules[r[a]]))&&(!e||n[0].length>e[0].length)){if(e=n,i=a,this.options.backtrack_lexer){if(!1!==(t=this.test_match(n,r[a])))return t;if(this._backtrack){e=!1;continue}return!1}if(!this.options.flex)break}return e?!1!==(t=this.test_match(e,r[i]))&&t:""===this._input?this.EOF:this.parseError("Lexical error on line "+(this.yylineno+1)+". Unrecognized text.\n"+this.showPosition(),{text:"",token:null,line:this.yylineno})},lex:function(){var t=this.next();return t||this.lex()},begin:function(t){this.conditionStack.push(t)},popState:function(){return this.conditionStack.length-1>0?this.conditionStack.pop():this.conditionStack[0]},_currentRules:function(){return this.conditionStack.length&&this.conditionStack[this.conditionStack.length-1]?this.conditions[this.conditionStack[this.conditionStack.length-1]].rules:this.conditions.INITIAL.rules},topState:function(t){return(t=this.conditionStack.length-1-Math.abs(t||0))>=0?this.conditionStack[t]:"INITIAL"},pushState:function(t){this.begin(t)},stateStackSize:function(){return this.conditionStack.length},options:{},performAction:function(t,e,n,i){switch(n){case 0:return this.begin("open_directive"),18;case 1:return 7;case 2:return 8;case 3:return 9;case 4:return 10;case 5:return this.begin("type_directive"),19;case 6:return this.popState(),this.begin("arg_directive"),16;case 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n},e=[1,2],n=[1,5],i=[6,9,11,23,25,27,29,30,31,52],r=[1,17],a=[1,18],o=[1,19],s=[1,20],c=[1,21],u=[1,22],l=[1,25],h=[1,30],f=[1,31],d=[1,32],g=[1,33],p=[1,34],b=[6,9,11,15,20,23,25,27,29,30,31,44,45,46,47,48,52],w=[1,46],y=[30,31,49,50],m=[4,6,9,11,23,25,27,29,30,31,52],v=[44,45,46,47,48],x=[22,37],k=[1,66],_=[1,65],E=[22,37,39,41],T={trace:function(){},yy:{},symbols_:{error:2,start:3,ER_DIAGRAM:4,document:5,EOF:6,directive:7,line:8,SPACE:9,statement:10,NEWLINE:11,openDirective:12,typeDirective:13,closeDirective:14,":":15,argDirective:16,entityName:17,relSpec:18,role:19,BLOCK_START:20,attributes:21,BLOCK_STOP:22,title:23,title_value:24,acc_title:25,acc_title_value:26,acc_descr:27,acc_descr_value:28,acc_descr_multiline_value:29,ALPHANUM:30,ENTITY_NAME:31,attribute:32,attributeType:33,attributeName:34,attributeKeyTypeList:35,attributeComment:36,ATTRIBUTE_WORD:37,attributeKeyType:38,COMMA:39,ATTRIBUTE_KEY:40,COMMENT:41,cardinality:42,relType:43,ZERO_OR_ONE:44,ZERO_OR_MORE:45,ONE_OR_MORE:46,ONLY_ONE:47,MD_PARENT:48,NON_IDENTIFYING:49,IDENTIFYING:50,WORD:51,open_directive:52,type_directive:53,arg_directive:54,close_directive:55,$accept:0,$end:1},terminals_:{2:"error",4:"ER_DIAGRAM",6:"EOF",9:"SPACE",11:"NEWLINE",15:":",20:"BLOCK_START",22:"BLOCK_STOP",23:"title",24:"title_value",25:"acc_title",26:"acc_title_value",27:"acc_descr",28:"acc_descr_value",29:"acc_descr_multiline_value",30:"ALPHANUM",31:"ENTITY_NAME",37:"ATTRIBUTE_WORD",39:"COMMA",40:"ATTRIBUTE_KEY",41:"COMMENT",44:"ZERO_OR_ONE",45:"ZERO_OR_MORE",46:"ONE_OR_MORE",47:"ONLY_ONE",48:"MD_PARENT",49:"NON_IDENTIFYING",50:"IDENTIFYING",51:"WORD",52:"open_directive",53:"type_directive",54:"arg_directive",55:"close_directive"},productions_:[0,[3,3],[3,2],[5,0],[5,2],[8,2],[8,1],[8,1],[8,1],[7,4],[7,6],[10,1],[10,5],[10,4],[10,3],[10,1],[10,2],[10,2],[10,2],[10,1],[17,1],[17,1],[21,1],[21,2],[32,2],[32,3],[32,3],[32,4],[33,1],[34,1],[35,1],[35,3],[38,1],[36,1],[18,3],[42,1],[42,1],[42,1],[42,1],[42,1],[43,1],[43,1],[19,1],[19,1],[19,1],[12,1],[13,1],[16,1],[14,1]],performAction:function(t,e,n,i,r,a,o){var s=a.length-1;switch(r){case 1:break;case 3:case 7:case 8:this.$=[];break;case 4:a[s-1].push(a[s]),this.$=a[s-1];break;case 5:case 6:case 20:case 44:case 28:case 29:case 32:this.$=a[s];break;case 12:i.addEntity(a[s-4]),i.addEntity(a[s-2]),i.addRelationship(a[s-4],a[s],a[s-2],a[s-3]);break;case 13:i.addEntity(a[s-3]),i.addAttributes(a[s-3],a[s-1]);break;case 14:i.addEntity(a[s-2]);break;case 15:i.addEntity(a[s]);break;case 16:case 17:this.$=a[s].trim(),i.setAccTitle(this.$);break;case 18:case 19:this.$=a[s].trim(),i.setAccDescription(this.$);break;case 21:case 42:case 43:case 33:this.$=a[s].replace(/"/g,"");break;case 22:case 30:this.$=[a[s]];break;case 23:a[s].push(a[s-1]),this.$=a[s];break;case 24:this.$={attributeType:a[s-1],attributeName:a[s]};break;case 25:this.$={attributeType:a[s-2],attributeName:a[s-1],attributeKeyTypeList:a[s]};break;case 26:this.$={attributeType:a[s-2],attributeName:a[s-1],attributeComment:a[s]};break;case 27:this.$={attributeType:a[s-3],attributeName:a[s-2],attributeKeyTypeList:a[s-1],attributeComment:a[s]};break;case 31:a[s-2].push(a[s]),this.$=a[s-2];break;case 34:this.$={cardA:a[s],relType:a[s-1],cardB:a[s-2]};break;case 35:this.$=i.Cardinality.ZERO_OR_ONE;break;case 36:this.$=i.Cardinality.ZERO_OR_MORE;break;case 37:this.$=i.Cardinality.ONE_OR_MORE;break;case 38:this.$=i.Cardinality.ONLY_ONE;break;case 39:this.$=i.Cardinality.MD_PARENT;break;case 40:this.$=i.Identification.NON_IDENTIFYING;break;case 41:this.$=i.Identification.IDENTIFYING;break;case 45:i.parseDirective("%%{","open_directive");break;case 46:i.parseDirective(a[s],"type_directive");break;case 47:a[s]=a[s].trim().replace(/'/g,'"'),i.parseDirective(a[s],"arg_directive");break;case 48:i.parseDirective("}%%","close_directive","er")}},table:[{3:1,4:e,7:3,12:4,52:n},{1:[3]},t(i,[2,3],{5:6}),{3:7,4:e,7:3,12:4,52:n},{13:8,53:[1,9]},{53:[2,45]},{6:[1,10],7:15,8:11,9:[1,12],10:13,11:[1,14],12:4,17:16,23:r,25:a,27:o,29:s,30:c,31:u,52:n},{1:[2,2]},{14:23,15:[1,24],55:l},t([15,55],[2,46]),t(i,[2,8],{1:[2,1]}),t(i,[2,4]),{7:15,10:26,12:4,17:16,23:r,25:a,27:o,29:s,30:c,31:u,52:n},t(i,[2,6]),t(i,[2,7]),t(i,[2,11]),t(i,[2,15],{18:27,42:29,20:[1,28],44:h,45:f,46:d,47:g,48:p}),{24:[1,35]},{26:[1,36]},{28:[1,37]},t(i,[2,19]),t(b,[2,20]),t(b,[2,21]),{11:[1,38]},{16:39,54:[1,40]},{11:[2,48]},t(i,[2,5]),{17:41,30:c,31:u},{21:42,22:[1,43],32:44,33:45,37:w},{43:47,49:[1,48],50:[1,49]},t(y,[2,35]),t(y,[2,36]),t(y,[2,37]),t(y,[2,38]),t(y,[2,39]),t(i,[2,16]),t(i,[2,17]),t(i,[2,18]),t(m,[2,9]),{14:50,55:l},{55:[2,47]},{15:[1,51]},{22:[1,52]},t(i,[2,14]),{21:53,22:[2,22],32:44,33:45,37:w},{34:54,37:[1,55]},{37:[2,28]},{42:56,44:h,45:f,46:d,47:g,48:p},t(v,[2,40]),t(v,[2,41]),{11:[1,57]},{19:58,30:[1,61],31:[1,60],51:[1,59]},t(i,[2,13]),{22:[2,23]},t(x,[2,24],{35:62,36:63,38:64,40:k,41:_}),t([22,37,40,41],[2,29]),t([30,31],[2,34]),t(m,[2,10]),t(i,[2,12]),t(i,[2,42]),t(i,[2,43]),t(i,[2,44]),t(x,[2,25],{36:67,39:[1,68],41:_}),t(x,[2,26]),t(E,[2,30]),t(x,[2,33]),t(E,[2,32]),t(x,[2,27]),{38:69,40:k},t(E,[2,31])],defaultActions:{5:[2,45],7:[2,2],25:[2,48],40:[2,47],46:[2,28],53:[2,23]},parseError:function(t,e){if(!e.recoverable){var n=new Error(t);throw n.hash=e,n}this.trace(t)},parse:function(t){var e=this,n=[0],i=[],r=[null],a=[],o=this.table,s="",c=0,u=0,l=2,h=1,f=a.slice.call(arguments,1),d=Object.create(this.lexer),g={yy:{}};for(var p in this.yy)Object.prototype.hasOwnProperty.call(this.yy,p)&&(g.yy[p]=this.yy[p]);d.setInput(t,g.yy),g.yy.lexer=d,g.yy.parser=this,void 0===d.yylloc&&(d.yylloc={});var b=d.yylloc;a.push(b);var w=d.options&&d.options.ranges;function y(){var t;return"number"!=typeof(t=i.pop()||d.lex()||h)&&(t instanceof Array&&(t=(i=t).pop()),t=e.symbols_[t]||t),t}"function"==typeof g.yy.parseError?this.parseError=g.yy.parseError:this.parseError=Object.getPrototypeOf(this).parseError;for(var m,v,x,k,_,E,T,C,S={};;){if(v=n[n.length-1],this.defaultActions[v]?x=this.defaultActions[v]:(null==m&&(m=y()),x=o[v]&&o[v][m]),void 0===x||!x.length||!x[0]){var A="";for(_ in C=[],o[v])this.terminals_[_]&&_>l&&C.push("'"+this.terminals_[_]+"'");A=d.showPosition?"Parse error on line "+(c+1)+":\n"+d.showPosition()+"\nExpecting "+C.join(", ")+", got '"+(this.terminals_[m]||m)+"'":"Parse error on line "+(c+1)+": Unexpected "+(m==h?"end of input":"'"+(this.terminals_[m]||m)+"'"),this.parseError(A,{text:d.match,token:this.terminals_[m]||m,line:d.yylineno,loc:b,expected:C})}if(x[0]instanceof Array&&x.length>1)throw new Error("Parse Error: multiple actions possible at state: "+v+", token: "+m);switch(x[0]){case 1:n.push(m),r.push(d.yytext),a.push(d.yylloc),n.push(x[1]),m=null,u=d.yyleng,s=d.yytext,c=d.yylineno,b=d.yylloc;break;case 2:if(E=this.productions_[x[1]][1],S.$=r[r.length-E],S._$={first_line:a[a.length-(E||1)].first_line,last_line:a[a.length-1].last_line,first_column:a[a.length-(E||1)].first_column,last_column:a[a.length-1].last_column},w&&(S._$.range=[a[a.length-(E||1)].range[0],a[a.length-1].range[1]]),void 0!==(k=this.performAction.apply(S,[s,u,c,g.yy,x[1],r,a].concat(f))))return k;E&&(n=n.slice(0,-1*E*2),r=r.slice(0,-1*E),a=a.slice(0,-1*E)),n.push(this.productions_[x[1]][0]),r.push(S.$),a.push(S._$),T=o[n[n.length-2]][n[n.length-1]],n.push(T);break;case 3:return!0}}return!0}},C={EOF:1,parseError:function(t,e){if(!this.yy.parser)throw new Error(t);this.yy.parser.parseError(t,e)},setInput:function(t,e){return this.yy=e||this.yy||{},this._input=t,this._more=this._backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match="",this.conditionStack=["INITIAL"],this.yylloc={first_line:1,first_column:0,last_line:1,last_column:0},this.options.ranges&&(this.yylloc.range=[0,0]),this.offset=0,this},input:function(){var t=this._input[0];return this.yytext+=t,this.yyleng++,this.offset++,this.match+=t,this.matched+=t,t.match(/(?:\r\n?|\n).*/g)?(this.yylineno++,this.yylloc.last_line++):this.yylloc.last_column++,this.options.ranges&&this.yylloc.range[1]++,this._input=this._input.slice(1),t},unput:function(t){var e=t.length,n=t.split(/(?:\r\n?|\n)/g);this._input=t+this._input,this.yytext=this.yytext.substr(0,this.yytext.length-e),this.offset-=e;var i=this.match.split(/(?:\r\n?|\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),n.length-1&&(this.yylineno-=n.length-1);var r=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:n?(n.length===i.length?this.yylloc.first_column:0)+i[i.length-n.length].length-n[0].length:this.yylloc.first_column-e},this.options.ranges&&(this.yylloc.range=[r[0],r[0]+this.yyleng-e]),this.yyleng=this.yytext.length,this},more:function(){return this._more=!0,this},reject:function(){return this.options.backtrack_lexer?(this._backtrack=!0,this):this.parseError("Lexical error on line "+(this.yylineno+1)+". You can only invoke reject() in the lexer when the lexer is of the backtracking persuasion (options.backtrack_lexer = true).\n"+this.showPosition(),{text:"",token:null,line:this.yylineno})},less:function(t){this.unput(this.match.slice(t))},pastInput:function(){var t=this.matched.substr(0,this.matched.length-this.match.length);return(t.length>20?"...":"")+t.substr(-20).replace(/\n/g,"")},upcomingInput:function(){var t=this.match;return t.length<20&&(t+=this._input.substr(0,20-t.length)),(t.substr(0,20)+(t.length>20?"...":"")).replace(/\n/g,"")},showPosition:function(){var t=this.pastInput(),e=new Array(t.length+1).join("-");return t+this.upcomingInput()+"\n"+e+"^"},test_match:function(t,e){var n,i,r;if(this.options.backtrack_lexer&&(r={yylineno:this.yylineno,yylloc:{first_line:this.yylloc.first_line,last_line:this.last_line,first_column:this.yylloc.first_column,last_column:this.yylloc.last_column},yytext:this.yytext,match:this.match,matches:this.matches,matched:this.matched,yyleng:this.yyleng,offset:this.offset,_more:this._more,_input:this._input,yy:this.yy,conditionStack:this.conditionStack.slice(0),done:this.done},this.options.ranges&&(r.yylloc.range=this.yylloc.range.slice(0))),(i=t[0].match(/(?:\r\n?|\n).*/g))&&(this.yylineno+=i.length),this.yylloc={first_line:this.yylloc.last_line,last_line:this.yylineno+1,first_column:this.yylloc.last_column,last_column:i?i[i.length-1].length-i[i.length-1].match(/\r?\n?/)[0].length:this.yylloc.last_column+t[0].length},this.yytext+=t[0],this.match+=t[0],this.matches=t,this.yyleng=this.yytext.length,this.options.ranges&&(this.yylloc.range=[this.offset,this.offset+=this.yyleng]),this._more=!1,this._backtrack=!1,this._input=this._input.slice(t[0].length),this.matched+=t[0],n=this.performAction.call(this,this.yy,this,e,this.conditionStack[this.conditionStack.length-1]),this.done&&this._input&&(this.done=!1),n)return n;if(this._backtrack){for(var a in r)this[a]=r[a];return!1}return!1},next:function(){if(this.done)return this.EOF;var t,e,n,i;this._input||(this.done=!0),this._more||(this.yytext="",this.match="");for(var r=this._currentRules(),a=0;a<r.length;a++)if((n=this._input.match(this.rules[r[a]]))&&(!e||n[0].length>e[0].length)){if(e=n,i=a,this.options.backtrack_lexer){if(!1!==(t=this.test_match(n,r[a])))return t;if(this._backtrack){e=!1;continue}return!1}if(!this.options.flex)break}return e?!1!==(t=this.test_match(e,r[i]))&&t:""===this._input?this.EOF:this.parseError("Lexical error on line "+(this.yylineno+1)+". Unrecognized text.\n"+this.showPosition(),{text:"",token:null,line:this.yylineno})},lex:function(){var t=this.next();return t||this.lex()},begin:function(t){this.conditionStack.push(t)},popState:function(){return this.conditionStack.length-1>0?this.conditionStack.pop():this.conditionStack[0]},_currentRules:function(){return this.conditionStack.length&&this.conditionStack[this.conditionStack.length-1]?this.conditions[this.conditionStack[this.conditionStack.length-1]].rules:this.conditions.INITIAL.rules},topState:function(t){return(t=this.conditionStack.length-1-Math.abs(t||0))>=0?this.conditionStack[t]:"INITIAL"},pushState:function(t){this.begin(t)},stateStackSize:function(){return this.conditionStack.length},options:{"case-insensitive":!0},performAction:function(t,e,n,i){switch(n){case 0:return this.begin("acc_title"),25;case 1:return this.popState(),"acc_title_value";case 2:return this.begin("acc_descr"),27;case 3:return this.popState(),"acc_descr_value";case 4:this.begin("acc_descr_multiline");break;case 5:this.popState();break;case 6:return"acc_descr_multiline_value";case 7:return this.begin("open_directive"),52;case 8:return this.begin("type_directive"),53;case 9:return this.popState(),this.begin("arg_directive"),15;case 10:return this.popState(),this.popState(),55;case 11:return 54;case 12:return 11;case 13:case 20:case 25:break;case 14:return 9;case 15:return 31;case 16:return 51;case 17:return 4;case 18:return this.begin("block"),20;case 19:return 39;case 21:return 40;case 22:case 23:return 37;case 24:return 41;case 26:return this.popState(),22;case 27:case 57:return e.yytext[0];case 28:case 32:case 33:case 46:return 44;case 29:case 30:case 31:case 39:case 41:case 48:return 46;case 34:case 35:case 36:case 37:case 38:case 40:case 47:return 45;case 42:case 43:case 44:case 45:return 47;case 49:return 48;case 50:case 53:case 54:case 55:return 49;case 51:case 52:return 50;case 56:return 30;case 58:return 6}},rules:[/^(?:accTitle\s*:\s*)/i,/^(?:(?!\n||)*[^\n]*)/i,/^(?:accDescr\s*:\s*)/i,/^(?:(?!\n||)*[^\n]*)/i,/^(?:accDescr\s*\{\s*)/i,/^(?:[\}])/i,/^(?:[^\}]*)/i,/^(?:%%\{)/i,/^(?:((?:(?!\}%%)[^:.])*))/i,/^(?::)/i,/^(?:\}%%)/i,/^(?:((?:(?!\}%%).|\n)*))/i,/^(?:[\n]+)/i,/^(?:\s+)/i,/^(?:[\s]+)/i,/^(?:"[^"%\r\n\v\b\\]+")/i,/^(?:"[^"]*")/i,/^(?:erDiagram\b)/i,/^(?:\{)/i,/^(?:,)/i,/^(?:\s+)/i,/^(?:\b((?:PK)|(?:FK)|(?:UK))\b)/i,/^(?:(.*?)[~](.*?)*[~])/i,/^(?:[\*A-Za-z_][A-Za-z0-9\-_\[\]\(\)]*)/i,/^(?:"[^"]*")/i,/^(?:[\n]+)/i,/^(?:\})/i,/^(?:.)/i,/^(?:one or zero\b)/i,/^(?:one or more\b)/i,/^(?:one or many\b)/i,/^(?:1\+)/i,/^(?:\|o\b)/i,/^(?:zero or one\b)/i,/^(?:zero or more\b)/i,/^(?:zero or many\b)/i,/^(?:0\+)/i,/^(?:\}o\b)/i,/^(?:many\(0\))/i,/^(?:many\(1\))/i,/^(?:many\b)/i,/^(?:\}\|)/i,/^(?:one\b)/i,/^(?:only one\b)/i,/^(?:1\b)/i,/^(?:\|\|)/i,/^(?:o\|)/i,/^(?:o\{)/i,/^(?:\|\{)/i,/^(?:\s*u\b)/i,/^(?:\.\.)/i,/^(?:--)/i,/^(?:to\b)/i,/^(?:optionally 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n=new Error(t);throw n.hash=e,n}this.trace(t)},parse:function(t){var e=this,n=[0],i=[],r=[null],a=[],o=this.table,s="",c=0,u=0,l=2,h=1,f=a.slice.call(arguments,1),d=Object.create(this.lexer),g={yy:{}};for(var p in this.yy)Object.prototype.hasOwnProperty.call(this.yy,p)&&(g.yy[p]=this.yy[p]);d.setInput(t,g.yy),g.yy.lexer=d,g.yy.parser=this,void 0===d.yylloc&&(d.yylloc={});var b=d.yylloc;a.push(b);var w=d.options&&d.options.ranges;function y(){var t;return"number"!=typeof(t=i.pop()||d.lex()||h)&&(t instanceof Array&&(t=(i=t).pop()),t=e.symbols_[t]||t),t}"function"==typeof g.yy.parseError?this.parseError=g.yy.parseError:this.parseError=Object.getPrototypeOf(this).parseError;for(var m,v,x,k,_,E,T,C,S={};;){if(v=n[n.length-1],this.defaultActions[v]?x=this.defaultActions[v]:(null==m&&(m=y()),x=o[v]&&o[v][m]),void 0===x||!x.length||!x[0]){var A="";for(_ in C=[],o[v])this.terminals_[_]&&_>l&&C.push("'"+this.terminals_[_]+"'");A=d.showPosition?"Parse error on line "+(c+1)+":\n"+d.showPosition()+"\nExpecting "+C.join(", ")+", got '"+(this.terminals_[m]||m)+"'":"Parse error on line "+(c+1)+": Unexpected "+(m==h?"end of input":"'"+(this.terminals_[m]||m)+"'"),this.parseError(A,{text:d.match,token:this.terminals_[m]||m,line:d.yylineno,loc:b,expected:C})}if(x[0]instanceof Array&&x.length>1)throw new Error("Parse Error: multiple actions possible at state: "+v+", token: "+m);switch(x[0]){case 1:n.push(m),r.push(d.yytext),a.push(d.yylloc),n.push(x[1]),m=null,u=d.yyleng,s=d.yytext,c=d.yylineno,b=d.yylloc;break;case 2:if(E=this.productions_[x[1]][1],S.$=r[r.length-E],S._$={first_line:a[a.length-(E||1)].first_line,last_line:a[a.length-1].last_line,first_column:a[a.length-(E||1)].first_column,last_column:a[a.length-1].last_column},w&&(S._$.range=[a[a.length-(E||1)].range[0],a[a.length-1].range[1]]),void 0!==(k=this.performAction.apply(S,[s,u,c,g.yy,x[1],r,a].concat(f))))return k;E&&(n=n.slice(0,-1*E*2),r=r.slice(0,-1*E),a=a.slice(0,-1*E)),n.push(this.productions_[x[1]][0]),r.push(S.$),a.push(S._$),T=o[n[n.length-2]][n[n.length-1]],n.push(T);break;case 3:return!0}}return!0}},ee={EOF:1,parseError:function(t,e){if(!this.yy.parser)throw new Error(t);this.yy.parser.parseError(t,e)},setInput:function(t,e){return this.yy=e||this.yy||{},this._input=t,this._more=this._backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match="",this.conditionStack=["INITIAL"],this.yylloc={first_line:1,first_column:0,last_line:1,last_column:0},this.options.ranges&&(this.yylloc.range=[0,0]),this.offset=0,this},input:function(){var t=this._input[0];return this.yytext+=t,this.yyleng++,this.offset++,this.match+=t,this.matched+=t,t.match(/(?:\r\n?|\n).*/g)?(this.yylineno++,this.yylloc.last_line++):this.yylloc.last_column++,this.options.ranges&&this.yylloc.range[1]++,this._input=this._input.slice(1),t},unput:function(t){var e=t.length,n=t.split(/(?:\r\n?|\n)/g);this._input=t+this._input,this.yytext=this.yytext.substr(0,this.yytext.length-e),this.offset-=e;var i=this.match.split(/(?:\r\n?|\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),n.length-1&&(this.yylineno-=n.length-1);var r=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:n?(n.length===i.length?this.yylloc.first_column:0)+i[i.length-n.length].length-n[0].length:this.yylloc.first_column-e},this.options.ranges&&(this.yylloc.range=[r[0],r[0]+this.yyleng-e]),this.yyleng=this.yytext.length,this},more:function(){return this._more=!0,this},reject:function(){return this.options.backtrack_lexer?(this._backtrack=!0,this):this.parseError("Lexical error on line "+(this.yylineno+1)+". You can only invoke reject() in the lexer when the lexer is of the backtracking persuasion (options.backtrack_lexer = true).\n"+this.showPosition(),{text:"",token:null,line:this.yylineno})},less:function(t){this.unput(this.match.slice(t))},pastInput:function(){var t=this.matched.substr(0,this.matched.length-this.match.length);return(t.length>20?"...":"")+t.substr(-20).replace(/\n/g,"")},upcomingInput:function(){var t=this.match;return t.length<20&&(t+=this._input.substr(0,20-t.length)),(t.substr(0,20)+(t.length>20?"...":"")).replace(/\n/g,"")},showPosition:function(){var t=this.pastInput(),e=new Array(t.length+1).join("-");return t+this.upcomingInput()+"\n"+e+"^"},test_match:function(t,e){var n,i,r;if(this.options.backtrack_lexer&&(r={yylineno:this.yylineno,yylloc:{first_line:this.yylloc.first_line,last_line:this.last_line,first_column:this.yylloc.first_column,last_column:this.yylloc.last_column},yytext:this.yytext,match:this.match,matches:this.matches,matched:this.matched,yyleng:this.yyleng,offset:this.offset,_more:this._more,_input:this._input,yy:this.yy,conditionStack:this.conditionStack.slice(0),done:this.done},this.options.ranges&&(r.yylloc.range=this.yylloc.range.slice(0))),(i=t[0].match(/(?:\r\n?|\n).*/g))&&(this.yylineno+=i.length),this.yylloc={first_line:this.yylloc.last_line,last_line:this.yylineno+1,first_column:this.yylloc.last_column,last_column:i?i[i.length-1].length-i[i.length-1].match(/\r?\n?/)[0].length:this.yylloc.last_column+t[0].length},this.yytext+=t[0],this.match+=t[0],this.matches=t,this.yyleng=this.yytext.length,this.options.ranges&&(this.yylloc.range=[this.offset,this.offset+=this.yyleng]),this._more=!1,this._backtrack=!1,this._input=this._input.slice(t[0].length),this.matched+=t[0],n=this.performAction.call(this,this.yy,this,e,this.conditionStack[this.conditionStack.length-1]),this.done&&this._input&&(this.done=!1),n)return n;if(this._backtrack){for(var a in r)this[a]=r[a];return!1}return!1},next:function(){if(this.done)return this.EOF;var t,e,n,i;this._input||(this.done=!0),this._more||(this.yytext="",this.match="");for(var r=this._currentRules(),a=0;a<r.length;a++)if((n=this._input.match(this.rules[r[a]]))&&(!e||n[0].length>e[0].length)){if(e=n,i=a,this.options.backtrack_lexer){if(!1!==(t=this.test_match(n,r[a])))return t;if(this._backtrack){e=!1;continue}return!1}if(!this.options.flex)break}return e?!1!==(t=this.test_match(e,r[i]))&&t:""===this._input?this.EOF:this.parseError("Lexical error on line "+(this.yylineno+1)+". Unrecognized text.\n"+this.showPosition(),{text:"",token:null,line:this.yylineno})},lex:function(){var t=this.next();return t||this.lex()},begin:function(t){this.conditionStack.push(t)},popState:function(){return this.conditionStack.length-1>0?this.conditionStack.pop():this.conditionStack[0]},_currentRules:function(){return this.conditionStack.length&&this.conditionStack[this.conditionStack.length-1]?this.conditions[this.conditionStack[this.conditionStack.length-1]].rules:this.conditions.INITIAL.rules},topState:function(t){return(t=this.conditionStack.length-1-Math.abs(t||0))>=0?this.conditionStack[t]:"INITIAL"},pushState:function(t){this.begin(t)},stateStackSize:function(){return this.conditionStack.length},options:{},performAction:function(t,e,n,i){switch(n){case 0:return this.begin("open_directive"),12;case 1:return this.begin("type_directive"),13;case 2:return this.popState(),this.begin("arg_directive"),10;case 3:return this.popState(),this.popState(),15;case 4:return 14;case 5:return this.begin("acc_title"),45;case 6:return this.popState(),"acc_title_value";case 7:return this.begin("acc_descr"),47;case 8:return this.popState(),"acc_descr_value";case 9:this.begin("acc_descr_multiline");break;case 10:case 13:case 16:case 19:case 22:case 32:this.popState();break;case 11:return"acc_descr_multiline_value";case 12:this.begin("callbackname");break;case 14:this.popState(),this.begin("callbackargs");break;case 15:return 103;case 17:return 104;case 18:return"MD_STR";case 20:this.begin("md_string");break;case 21:return"STR";case 23:this.pushState("string");break;case 24:return 92;case 25:return 110;case 26:return 93;case 27:return 112;case 28:return 94;case 29:return 95;case 30:return 105;case 31:this.begin("click");break;case 33:return 96;case 34:case 35:case 36:return t.lex.firstGraph()&&this.begin("dir"),24;case 37:return 38;case 38:return 43;case 39:case 40:case 41:case 42:return 106;case 43:return this.popState(),25;case 44:case 45:case 46:case 47:case 48:case 49:case 50:case 51:case 52:case 53:return this.popState(),26;case 54:return 129;case 55:return 130;case 56:return 131;case 57:return 132;case 58:return 113;case 59:case 100:return 119;case 60:return 55;case 61:return 69;case 62:case 101:return 53;case 63:return 20;case 64:return 114;case 65:case 99:return 123;case 66:case 69:case 72:return this.popState(),86;case 67:return this.pushState("edgeText"),84;case 68:case 71:case 74:return 127;case 70:return this.pushState("thickEdgeText"),84;case 73:return this.pushState("dottedEdgeText"),84;case 75:return 86;case 76:return this.popState(),62;case 77:case 113:return"TEXT";case 78:return this.pushState("ellipseText"),61;case 79:return this.popState(),64;case 80:return this.pushState("text"),63;case 81:return this.popState(),66;case 82:return this.pushState("text"),65;case 83:return 67;case 84:return this.pushState("text"),76;case 85:return this.popState(),73;case 86:return this.pushState("text"),72;case 87:return this.popState(),58;case 88:return this.pushState("text"),57;case 89:return this.popState(),78;case 90:return this.popState(),80;case 91:return 125;case 92:return this.pushState("trapText"),77;case 93:return this.pushState("trapText"),79;case 94:return 126;case 95:return 76;case 96:return 98;case 97:return"SEP";case 98:return 97;case 102:return 117;case 103:return 122;case 104:return 124;case 105:return this.popState(),71;case 106:return this.pushState("text"),71;case 107:return this.popState(),60;case 108:return this.pushState("text"),59;case 109:return this.popState(),42;case 110:return this.pushState("text"),40;case 111:return this.popState(),75;case 112:return this.pushState("text"),74;case 114:return"QUOTE";case 115:return 21;case 116:return 22;case 117:return 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center;\n    max-width: 200px;\n    padding: 2px;\n    font-family: ${t.fontFamily};\n    font-size: 12px;\n    background: ${t.tertiaryColor};\n    border: 1px solid ${t.border2};\n    border-radius: 2px;\n    pointer-events: none;\n    z-index: 100;\n  }\n\n  .flowchartTitleText {\n    text-anchor: middle;\n    font-size: 18px;\n    fill: ${t.textColor};\n  }\n  .subgraph {\n    stroke-width:2;\n    rx:3;\n  }\n  // .subgraph-lvl-1 {\n  //   fill:#ccc;\n  //   // stroke:black;\n  // }\n\n  .flowchart-label text {\n    text-anchor: middle;\n  }\n\n  ${(t=>{let e="";for(let n=0;n<5;n++)e+=`\n      .subgraph-lvl-${n} {\n        fill: ${t[`surface${n}`]};\n        stroke: ${t[`surfacePeer${n}`]};\n      }\n    `;return e})(t)}\n`,x={db:i.d,renderer:m,parser:i.p,styles:v}},9773:(t,e,n)=>{"use strict";n.r(e),n.d(e,{diagram:()=>X});var i=n(7967),r=n(7484),a=n(9542),o=n(285),s=n(8734),c=n(9339),u=n(7274),l=(n(7856),function(){var t=function(t,e,n,i){for(n=n||{},i=t.length;i--;n[t[i]]=e);return n},e=[1,3],n=[1,5],i=[7,9,11,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,31,33,34,36,43,48],r=[1,32],a=[1,33],o=[1,34],s=[1,35],c=[1,36],u=[1,37],l=[1,38],h=[1,15],f=[1,16],d=[1,17],g=[1,18],p=[1,19],b=[1,20],w=[1,21],y=[1,22],m=[1,24],v=[1,25],x=[1,26],k=[1,27],_=[1,28],E=[1,30],T=[1,39],C=[1,42],S=[5,7,9,11,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,31,33,34,36,43,48],A={trace:function(){},yy:{},symbols_:{error:2,start:3,directive:4,gantt:5,document:6,EOF:7,line:8,SPACE:9,statement:10,NL:11,weekday:12,weekday_monday:13,weekday_tuesday:14,weekday_wednesday:15,weekday_thursday:16,weekday_friday:17,weekday_saturday:18,weekday_sunday:19,dateFormat:20,inclusiveEndDates:21,topAxis:22,axisFormat:23,tickInterval:24,excludes:25,includes:26,todayMarker:27,title:28,acc_title:29,acc_title_value:30,acc_descr:31,acc_descr_value:32,acc_descr_multiline_value:33,section:34,clickStatement:35,taskTxt:36,taskData:37,openDirective:38,typeDirective:39,closeDirective:40,":":41,argDirective:42,click:43,callbackname:44,callbackargs:45,href:46,clickStatementDebug:47,open_directive:48,type_directive:49,arg_directive:50,close_directive:51,$accept:0,$end:1},terminals_:{2:"error",5:"gantt",7:"EOF",9:"SPACE",11:"NL",13:"weekday_monday",14:"weekday_tuesday",15:"weekday_wednesday",16:"weekday_thursday",17:"weekday_friday",18:"weekday_saturday",19:"weekday_sunday",20:"dateFormat",21:"inclusiveEndDates",22:"topAxis",23:"axisFormat",24:"tickInterval",25:"excludes",26:"includes",27:"todayMarker",28:"title",29:"acc_title",30:"acc_title_value",31:"acc_descr",32:"acc_descr_value",33:"acc_descr_multiline_value",34:"section",36:"taskTxt",37:"taskData",41:":",43:"click",44:"callbackname",45:"callbackargs",46:"href",48:"open_directive",49:"type_directive",50:"arg_directive",51:"close_directive"},productions_:[0,[3,2],[3,3],[6,0],[6,2],[8,2],[8,1],[8,1],[8,1],[12,1],[12,1],[12,1],[12,1],[12,1],[12,1],[12,1],[10,1],[10,1],[10,1],[10,1],[10,1],[10,1],[10,1],[10,1],[10,1],[10,1],[10,2],[10,2],[10,1],[10,1],[10,1],[10,2],[10,1],[4,4],[4,6],[35,2],[35,3],[35,3],[35,4],[35,3],[35,4],[35,2],[47,2],[47,3],[47,3],[47,4],[47,3],[47,4],[47,2],[38,1],[39,1],[42,1],[40,1]],performAction:function(t,e,n,i,r,a,o){var s=a.length-1;switch(r){case 2:return a[s-1];case 3:case 7:case 8:this.$=[];break;case 4:a[s-1].push(a[s]),this.$=a[s-1];break;case 5:case 6:this.$=a[s];break;case 9:i.setWeekday("monday");break;case 10:i.setWeekday("tuesday");break;case 11:i.setWeekday("wednesday");break;case 12:i.setWeekday("thursday");break;case 13:i.setWeekday("friday");break;case 14:i.setWeekday("saturday");break;case 15:i.setWeekday("sunday");break;case 16:i.setDateFormat(a[s].substr(11)),this.$=a[s].substr(11);break;case 17:i.enableInclusiveEndDates(),this.$=a[s].substr(18);break;case 18:i.TopAxis(),this.$=a[s].substr(8);break;case 19:i.setAxisFormat(a[s].substr(11)),this.$=a[s].substr(11);break;case 20:i.setTickInterval(a[s].substr(13)),this.$=a[s].substr(13);break;case 21:i.setExcludes(a[s].substr(9)),this.$=a[s].substr(9);break;case 22:i.setIncludes(a[s].substr(9)),this.$=a[s].substr(9);break;case 23:i.setTodayMarker(a[s].substr(12)),this.$=a[s].substr(12);break;case 25:i.setDiagramTitle(a[s].substr(6)),this.$=a[s].substr(6);break;case 26:this.$=a[s].trim(),i.setAccTitle(this.$);break;case 27:case 28:this.$=a[s].trim(),i.setAccDescription(this.$);break;case 29:i.addSection(a[s].substr(8)),this.$=a[s].substr(8);break;case 31:i.addTask(a[s-1],a[s]),this.$="task";break;case 35:this.$=a[s-1],i.setClickEvent(a[s-1],a[s],null);break;case 36:this.$=a[s-2],i.setClickEvent(a[s-2],a[s-1],a[s]);break;case 37:this.$=a[s-2],i.setClickEvent(a[s-2],a[s-1],null),i.setLink(a[s-2],a[s]);break;case 38:this.$=a[s-3],i.setClickEvent(a[s-3],a[s-2],a[s-1]),i.setLink(a[s-3],a[s]);break;case 39:this.$=a[s-2],i.setClickEvent(a[s-2],a[s],null),i.setLink(a[s-2],a[s-1]);break;case 40:this.$=a[s-3],i.setClickEvent(a[s-3],a[s-1],a[s]),i.setLink(a[s-3],a[s-2]);break;case 41:this.$=a[s-1],i.setLink(a[s-1],a[s]);break;case 42:case 48:this.$=a[s-1]+" "+a[s];break;case 43:case 44:case 46:this.$=a[s-2]+" "+a[s-1]+" "+a[s];break;case 45:case 47:this.$=a[s-3]+" "+a[s-2]+" "+a[s-1]+" 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52:i.parseDirective("}%%","close_directive","gantt")}},table:[{3:1,4:2,5:e,38:4,48:n},{1:[3]},{3:6,4:2,5:e,38:4,48:n},t(i,[2,3],{6:7}),{39:8,49:[1,9]},{49:[2,49]},{1:[2,1]},{4:31,7:[1,10],8:11,9:[1,12],10:13,11:[1,14],12:23,13:r,14:a,15:o,16:s,17:c,18:u,19:l,20:h,21:f,22:d,23:g,24:p,25:b,26:w,27:y,28:m,29:v,31:x,33:k,34:_,35:29,36:E,38:4,43:T,48:n},{40:40,41:[1,41],51:C},t([41,51],[2,50]),t(i,[2,8],{1:[2,2]}),t(i,[2,4]),{4:31,10:43,12:23,13:r,14:a,15:o,16:s,17:c,18:u,19:l,20:h,21:f,22:d,23:g,24:p,25:b,26:w,27:y,28:m,29:v,31:x,33:k,34:_,35:29,36:E,38:4,43:T,48:n},t(i,[2,6]),t(i,[2,7]),t(i,[2,16]),t(i,[2,17]),t(i,[2,18]),t(i,[2,19]),t(i,[2,20]),t(i,[2,21]),t(i,[2,22]),t(i,[2,23]),t(i,[2,24]),t(i,[2,25]),{30:[1,44]},{32:[1,45]},t(i,[2,28]),t(i,[2,29]),t(i,[2,30]),{37:[1,46]},t(i,[2,32]),t(i,[2,9]),t(i,[2,10]),t(i,[2,11]),t(i,[2,12]),t(i,[2,13]),t(i,[2,14]),t(i,[2,15]),{44:[1,47],46:[1,48]},{11:[1,49]},{42:50,50:[1,51]},{11:[2,52]},t(i,[2,5]),t(i,[2,26]),t(i,[2,27]),t(i,[2,31]),t(i,[2,35],{45:[1,52],46:[1,53]}),t(i,[2,41],{44:[1,54]}),t(S,[2,33]),{40:55,51:C},{51:[2,51]},t(i,[2,36],{46:[1,56]}),t(i,[2,37]),t(i,[2,39],{45:[1,57]}),{11:[1,58]},t(i,[2,38]),t(i,[2,40]),t(S,[2,34])],defaultActions:{5:[2,49],6:[2,1],42:[2,52],51:[2,51]},parseError:function(t,e){if(!e.recoverable){var n=new Error(t);throw n.hash=e,n}this.trace(t)},parse:function(t){var e=this,n=[0],i=[],r=[null],a=[],o=this.table,s="",c=0,u=0,l=2,h=1,f=a.slice.call(arguments,1),d=Object.create(this.lexer),g={yy:{}};for(var p in this.yy)Object.prototype.hasOwnProperty.call(this.yy,p)&&(g.yy[p]=this.yy[p]);d.setInput(t,g.yy),g.yy.lexer=d,g.yy.parser=this,void 0===d.yylloc&&(d.yylloc={});var b=d.yylloc;a.push(b);var w=d.options&&d.options.ranges;function y(){var t;return"number"!=typeof(t=i.pop()||d.lex()||h)&&(t instanceof Array&&(t=(i=t).pop()),t=e.symbols_[t]||t),t}"function"==typeof g.yy.parseError?this.parseError=g.yy.parseError:this.parseError=Object.getPrototypeOf(this).parseError;for(var m,v,x,k,_,E,T,C,S={};;){if(v=n[n.length-1],this.defaultActions[v]?x=this.defaultActions[v]:(null==m&&(m=y()),x=o[v]&&o[v][m]),void 0===x||!x.length||!x[0]){var A="";for(_ in C=[],o[v])this.terminals_[_]&&_>l&&C.push("'"+this.terminals_[_]+"'");A=d.showPosition?"Parse error on line 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k;E&&(n=n.slice(0,-1*E*2),r=r.slice(0,-1*E),a=a.slice(0,-1*E)),n.push(this.productions_[x[1]][0]),r.push(S.$),a.push(S._$),T=o[n[n.length-2]][n[n.length-1]],n.push(T);break;case 3:return!0}}return!0}},M={EOF:1,parseError:function(t,e){if(!this.yy.parser)throw new Error(t);this.yy.parser.parseError(t,e)},setInput:function(t,e){return this.yy=e||this.yy||{},this._input=t,this._more=this._backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match="",this.conditionStack=["INITIAL"],this.yylloc={first_line:1,first_column:0,last_line:1,last_column:0},this.options.ranges&&(this.yylloc.range=[0,0]),this.offset=0,this},input:function(){var t=this._input[0];return this.yytext+=t,this.yyleng++,this.offset++,this.match+=t,this.matched+=t,t.match(/(?:\r\n?|\n).*/g)?(this.yylineno++,this.yylloc.last_line++):this.yylloc.last_column++,this.options.ranges&&this.yylloc.range[1]++,this._input=this._input.slice(1),t},unput:function(t){var e=t.length,n=t.split(/(?:\r\n?|\n)/g);this._input=t+this._input,this.yytext=this.yytext.substr(0,this.yytext.length-e),this.offset-=e;var i=this.match.split(/(?:\r\n?|\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),n.length-1&&(this.yylineno-=n.length-1);var r=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:n?(n.length===i.length?this.yylloc.first_column:0)+i[i.length-n.length].length-n[0].length:this.yylloc.first_column-e},this.options.ranges&&(this.yylloc.range=[r[0],r[0]+this.yyleng-e]),this.yyleng=this.yytext.length,this},more:function(){return this._more=!0,this},reject:function(){return this.options.backtrack_lexer?(this._backtrack=!0,this):this.parseError("Lexical error on line "+(this.yylineno+1)+". You can only invoke reject() in the lexer when the lexer is of the backtracking persuasion (options.backtrack_lexer = true).\n"+this.showPosition(),{text:"",token:null,line:this.yylineno})},less:function(t){this.unput(this.match.slice(t))},pastInput:function(){var t=this.matched.substr(0,this.matched.length-this.match.length);return(t.length>20?"...":"")+t.substr(-20).replace(/\n/g,"")},upcomingInput:function(){var t=this.match;return t.length<20&&(t+=this._input.substr(0,20-t.length)),(t.substr(0,20)+(t.length>20?"...":"")).replace(/\n/g,"")},showPosition:function(){var t=this.pastInput(),e=new Array(t.length+1).join("-");return t+this.upcomingInput()+"\n"+e+"^"},test_match:function(t,e){var n,i,r;if(this.options.backtrack_lexer&&(r={yylineno:this.yylineno,yylloc:{first_line:this.yylloc.first_line,last_line:this.last_line,first_column:this.yylloc.first_column,last_column:this.yylloc.last_column},yytext:this.yytext,match:this.match,matches:this.matches,matched:this.matched,yyleng:this.yyleng,offset:this.offset,_more:this._more,_input:this._input,yy:this.yy,conditionStack:this.conditionStack.slice(0),done:this.done},this.options.ranges&&(r.yylloc.range=this.yylloc.range.slice(0))),(i=t[0].match(/(?:\r\n?|\n).*/g))&&(this.yylineno+=i.length),this.yylloc={first_line:this.yylloc.last_line,last_line:this.yylineno+1,first_column:this.yylloc.last_column,last_column:i?i[i.length-1].length-i[i.length-1].match(/\r?\n?/)[0].length:this.yylloc.last_column+t[0].length},this.yytext+=t[0],this.match+=t[0],this.matches=t,this.yyleng=this.yytext.length,this.options.ranges&&(this.yylloc.range=[this.offset,this.offset+=this.yyleng]),this._more=!1,this._backtrack=!1,this._input=this._input.slice(t[0].length),this.matched+=t[0],n=this.performAction.call(this,this.yy,this,e,this.conditionStack[this.conditionStack.length-1]),this.done&&this._input&&(this.done=!1),n)return n;if(this._backtrack){for(var a in r)this[a]=r[a];return!1}return!1},next:function(){if(this.done)return this.EOF;var t,e,n,i;this._input||(this.done=!0),this._more||(this.yytext="",this.match="");for(var r=this._currentRules(),a=0;a<r.length;a++)if((n=this._input.match(this.rules[r[a]]))&&(!e||n[0].length>e[0].length)){if(e=n,i=a,this.options.backtrack_lexer){if(!1!==(t=this.test_match(n,r[a])))return t;if(this._backtrack){e=!1;continue}return!1}if(!this.options.flex)break}return e?!1!==(t=this.test_match(e,r[i]))&&t:""===this._input?this.EOF:this.parseError("Lexical error on line "+(this.yylineno+1)+". 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121:i.parseDirective("}%%","close_directive","gitGraph")}},table:[{3:1,4:2,5:3,6:e,8:n,14:i,46:8,50:r,55:a},{1:[3]},{3:10,4:2,5:3,6:e,8:n,14:i,46:8,50:r,55:a},{3:11,4:2,5:3,6:e,8:n,14:i,46:8,50:r,55:a},{7:12,8:o,9:[1,13],10:[1,14],11:15,14:s},t(c,[2,124]),t(c,[2,125]),t(c,[2,126]),{47:17,51:[1,18]},{51:[2,118]},{1:[2,1]},{1:[2,2]},{8:[1,19]},{7:20,8:o,11:15,14:s},{9:[1,21]},t(u,[2,10],{12:22,13:[1,23]}),t(l,[2,9]),{9:[1,25],48:24,53:h},t([9,53],[2,119]),{1:[2,3]},{8:[1,27]},{7:28,8:o,11:15,14:s},{8:[2,7],14:[1,31],15:29,16:30,17:32,18:33,19:34,20:[1,35],22:[1,36],24:[1,37],25:[1,38],26:39,27:[1,40],29:[1,44],32:[1,43],37:[1,42],40:[1,41]},t(l,[2,8]),t(f,[2,116]),{49:45,52:[1,46]},t(f,[2,121]),{1:[2,4]},{8:[1,47]},t(u,[2,11]),{4:48,8:n,14:i,55:a},t(u,[2,13]),t(d,[2,14]),t(d,[2,15]),t(d,[2,16]),{21:[1,49]},{23:[1,50]},t(d,[2,19]),t(d,[2,20]),t(d,[2,21]),{28:51,34:g,54:p},t(d,[2,111],{41:54,33:[1,57],34:[1,59],35:[1,55],38:[1,56],42:[1,58]}),{28:60,34:g,54:p},{33:[1,61],35:[1,62]},{28:63,34:g,54:p},{48:64,53:h},{53:[2,120]},{1:[2,5]},t(u,[2,12]),t(d,[2,17]),t(d,[2,18]),t(d,[2,22]),t(b,[2,122]),t(b,[2,123]),t(d,[2,46]),{34:[1,65]},{39:66,43:w,44:y,45:m},{34:[1,70]},{34:[1,71]},t(d,[2,112]),t(d,[2,30],{33:[1,72],35:[1,74],38:[1,73]}),{34:[1,75]},{34:[1,76],36:[1,77]},t(d,[2,23],{30:[1,78]}),t(f,[2,117]),t(d,[2,47],{33:[1,80],38:[1,79],42:[1,81]}),t(d,[2,48],{33:[1,83],35:[1,82],42:[1,84]}),t(v,[2,113]),t(v,[2,114]),t(v,[2,115]),t(d,[2,51],{35:[1,85],38:[1,86],42:[1,87]}),t(d,[2,62],{33:[1,90],35:[1,88],38:[1,89]}),{34:[1,91]},{39:92,43:w,44:y,45:m},{34:[1,93]},t(d,[2,25],{35:[1,94]}),{33:[1,95]},{33:[1,96]},{31:[1,97]},{39:98,43:w,44:y,45:m},{34:[1,99]},{34:[1,100]},{34:[1,101]},{34:[1,102]},{34:[1,103]},{34:[1,104]},{39:105,43:w,44:y,45:m},{34:[1,106]},{34:[1,107]},{39:108,43:w,44:y,45:m},{34:[1,109]},t(d,[2,31],{35:[1,111],38:[1,110]}),t(d,[2,32],{33:[1,113],35:[1,112]}),t(d,[2,33],{33:[1,114],38:[1,115]}),{34:[1,116],36:[1,117]},{34:[1,118]},{34:[1,119]},t(d,[2,24]),t(d,[2,49],{33:[1,120],42:[1,121]}),t(d,[2,53],{38:[1,122],42:[1,123]}),t(d,[2,63],{33:[1,125],38:[1,124]}),t(d,[2,50],{33:[1,126],42:[1,127]}),t(d,[2,55],{35:[1,128],42:[1,129]}),t(d,[2,66],{33:[1,131],35:[1,130]}),t(d,[2,52],{38:[1,132],42:[1,133]}),t(d,[2,54],{35:[1,134],42:[1,135]}),t(d,[2,67],{35:[1,137],38:[1,136]}),t(d,[2,64],{33:[1,139],38:[1,138]}),t(d,[2,65],{33:[1,141],35:[1,140]}),t(d,[2,68],{35:[1,143],38:[1,142]}),{39:144,43:w,44:y,45:m},{34:[1,145]},{34:[1,146]},{34:[1,147]},{34:[1,148]},{39:149,43:w,44:y,45:m},t(d,[2,26]),t(d,[2,27]),t(d,[2,28]),t(d,[2,29]),{34:[1,150]},{34:[1,151]},{39:152,43:w,44:y,45:m},{34:[1,153]},{39:154,43:w,44:y,45:m},{34:[1,155]},{34:[1,156]},{34:[1,157]},{34:[1,158]},{34:[1,159]},{34:[1,160]},{34:[1,161]},{39:162,43:w,44:y,45:m},{34:[1,163]},{34:[1,164]},{34:[1,165]},{39:166,43:w,44:y,45:m},{34:[1,167]},{39:168,43:w,44:y,45:m},{34:[1,169]},{34:[1,170]},{34:[1,171]},{39:172,43:w,44:y,45:m},{34:[1,173]},t(d,[2,37],{35:[1,174]}),t(d,[2,38],{38:[1,175]}),t(d,[2,36],{33:[1,176]}),t(d,[2,39],{35:[1,177]}),t(d,[2,34],{38:[1,178]}),t(d,[2,35],{33:[1,179]}),t(d,[2,60],{42:[1,180]}),t(d,[2,73],{33:[1,181]}),t(d,[2,61],{42:[1,182]}),t(d,[2,84],{38:[1,183]}),t(d,[2,74],{33:[1,184]}),t(d,[2,83],{38:[1,185]}),t(d,[2,59],{42:[1,186]}),t(d,[2,72],{33:[1,187]}),t(d,[2,58],{42:[1,188]}),t(d,[2,78],{35:[1,189]}),t(d,[2,71],{33:[1,190]}),t(d,[2,77],{35:[1,191]}),t(d,[2,57],{42:[1,192]}),t(d,[2,85],{38:[1,193]}),t(d,[2,56],{42:[1,194]}),t(d,[2,79],{35:[1,195]}),t(d,[2,80],{35:[1,196]}),t(d,[2,86],{38:[1,197]}),t(d,[2,70],{33:[1,198]}),t(d,[2,81],{38:[1,199]}),t(d,[2,69],{33:[1,200]}),t(d,[2,75],{35:[1,201]}),t(d,[2,76],{35:[1,202]}),t(d,[2,82],{38:[1,203]}),{34:[1,204]},{39:205,43:w,44:y,45:m},{34:[1,206]},{34:[1,207]},{39:208,43:w,44:y,45:m},{34:[1,209]},{34:[1,210]},{34:[1,211]},{34:[1,212]},{39:213,43:w,44:y,45:m},{34:[1,214]},{39:215,43:w,44:y,45:m},{34:[1,216]},{34:[1,217]},{34:[1,218]},{34:[1,219]},{34:[1,220]},{34:[1,221]},{34:[1,222]},{39:223,43:w,44:y,45:m},{34:[1,224]},{34:[1,225]},{34:[1,226]},{39:227,43:w,44:y,45:m},{34:[1,228]},{39:229,43:w,44:y,45:m},{34:[1,230]},{34:[1,231]},{34:[1,232]},{39:233,43:w,44:y,45:m},t(d,[2,40]),t(d,[2,42]),t(d,[2,41]),t(d,[2,43]),t(d,[2,45]),t(d,[2,44]),t(d,[2,101]),t(d,[2,102]),t(d,[2,99]),t(d,[2,100]),t(d,[2,104]),t(d,[2,103]),t(d,[2,108]),t(d,[2,107]),t(d,[2,106]),t(d,[2,105]),t(d,[2,110]),t(d,[2,109]),t(d,[2,98]),t(d,[2,97]),t(d,[2,96]),t(d,[2,95]),t(d,[2,93]),t(d,[2,94]),t(d,[2,92]),t(d,[2,91]),t(d,[2,90]),t(d,[2,89]),t(d,[2,87]),t(d,[2,88])],defaultActions:{9:[2,118],10:[2,1],11:[2,2],19:[2,3],27:[2,4],46:[2,120],47:[2,5]},parseError:function(t,e){if(!e.recoverable){var n=new Error(t);throw n.hash=e,n}this.trace(t)},parse:function(t){var e=this,n=[0],i=[],r=[null],a=[],o=this.table,s="",c=0,u=0,l=2,h=1,f=a.slice.call(arguments,1),d=Object.create(this.lexer),g={yy:{}};for(var p in this.yy)Object.prototype.hasOwnProperty.call(this.yy,p)&&(g.yy[p]=this.yy[p]);d.setInput(t,g.yy),g.yy.lexer=d,g.yy.parser=this,void 0===d.yylloc&&(d.yylloc={});var b=d.yylloc;a.push(b);var w=d.options&&d.options.ranges;function y(){var t;return"number"!=typeof(t=i.pop()||d.lex()||h)&&(t instanceof Array&&(t=(i=t).pop()),t=e.symbols_[t]||t),t}"function"==typeof g.yy.parseError?this.parseError=g.yy.parseError:this.parseError=Object.getPrototypeOf(this).parseError;for(var m,v,x,k,_,E,T,C,S={};;){if(v=n[n.length-1],this.defaultActions[v]?x=this.defaultActions[v]:(null==m&&(m=y()),x=o[v]&&o[v][m]),void 0===x||!x.length||!x[0]){var A="";for(_ in C=[],o[v])this.terminals_[_]&&_>l&&C.push("'"+this.terminals_[_]+"'");A=d.showPosition?"Parse error on line 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k;E&&(n=n.slice(0,-1*E*2),r=r.slice(0,-1*E),a=a.slice(0,-1*E)),n.push(this.productions_[x[1]][0]),r.push(S.$),a.push(S._$),T=o[n[n.length-2]][n[n.length-1]],n.push(T);break;case 3:return!0}}return!0}},k={EOF:1,parseError:function(t,e){if(!this.yy.parser)throw new Error(t);this.yy.parser.parseError(t,e)},setInput:function(t,e){return this.yy=e||this.yy||{},this._input=t,this._more=this._backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match="",this.conditionStack=["INITIAL"],this.yylloc={first_line:1,first_column:0,last_line:1,last_column:0},this.options.ranges&&(this.yylloc.range=[0,0]),this.offset=0,this},input:function(){var t=this._input[0];return this.yytext+=t,this.yyleng++,this.offset++,this.match+=t,this.matched+=t,t.match(/(?:\r\n?|\n).*/g)?(this.yylineno++,this.yylloc.last_line++):this.yylloc.last_column++,this.options.ranges&&this.yylloc.range[1]++,this._input=this._input.slice(1),t},unput:function(t){var e=t.length,n=t.split(/(?:\r\n?|\n)/g);this._input=t+this._input,this.yytext=this.yytext.substr(0,this.yytext.length-e),this.offset-=e;var i=this.match.split(/(?:\r\n?|\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),n.length-1&&(this.yylineno-=n.length-1);var r=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:n?(n.length===i.length?this.yylloc.first_column:0)+i[i.length-n.length].length-n[0].length:this.yylloc.first_column-e},this.options.ranges&&(this.yylloc.range=[r[0],r[0]+this.yyleng-e]),this.yyleng=this.yytext.length,this},more:function(){return this._more=!0,this},reject:function(){return this.options.backtrack_lexer?(this._backtrack=!0,this):this.parseError("Lexical error on line "+(this.yylineno+1)+". 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p=0;return(t=>m(t,t.children()))(e).forEach((function(t){const n=e.node(t);o.l.info("Position "+t+": "+JSON.stringify(e.node(t))),o.l.info("Position "+t+": ("+n.x,","+n.y,") width: ",n.width," height: ",n.height),n&&n.clusterNode?(0,a.p)(n):e.children(t).length>0?(((t,e)=>{o.l.trace("Inserting cluster");const n=e.shape||"rect";x[e.id]=v[n](t,e)})(h,n),l[n.id].node=n):(0,a.p)(n)})),e.edges().forEach((function(t){const i=e.edge(t);o.l.info("Edge "+t.v+" -> "+t.w+": "+JSON.stringify(i),i);const r=(0,a.g)(f,t,i,l,n,e);(0,a.h)(i,r)})),e.nodes().forEach((function(t){const n=e.node(t);o.l.info(t,n.type,n.diff),"group"===n.type&&(p=n.diff)})),{elem:u,diff:p}},_=async(t,e,n,i,s)=>{(0,a.a)(t,n,i,s),(0,a.b)(),(0,a.d)(),x={},h={},f={},l={},o.l.warn("Graph at first:",r.c(e)),((t,e)=>{!t||e>10?o.l.debug("Opting out, no graph "):(o.l.debug("Opting in, graph "),t.nodes().forEach((function(e){t.children(e).length>0&&(o.l.warn("Cluster identified",e," Replacement id in edges: 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this.yy=e||this.yy||{},this._input=t,this._more=this._backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match="",this.conditionStack=["INITIAL"],this.yylloc={first_line:1,first_column:0,last_line:1,last_column:0},this.options.ranges&&(this.yylloc.range=[0,0]),this.offset=0,this},input:function(){var t=this._input[0];return this.yytext+=t,this.yyleng++,this.offset++,this.match+=t,this.matched+=t,t.match(/(?:\r\n?|\n).*/g)?(this.yylineno++,this.yylloc.last_line++):this.yylloc.last_column++,this.options.ranges&&this.yylloc.range[1]++,this._input=this._input.slice(1),t},unput:function(t){var e=t.length,n=t.split(/(?:\r\n?|\n)/g);this._input=t+this._input,this.yytext=this.yytext.substr(0,this.yytext.length-e),this.offset-=e;var i=this.match.split(/(?:\r\n?|\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),n.length-1&&(this.yylineno-=n.length-1);var r=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:n?(n.length===i.length?this.yylloc.first_column:0)+i[i.length-n.length].length-n[0].length:this.yylloc.first_column-e},this.options.ranges&&(this.yylloc.range=[r[0],r[0]+this.yyleng-e]),this.yyleng=this.yytext.length,this},more:function(){return this._more=!0,this},reject:function(){return this.options.backtrack_lexer?(this._backtrack=!0,this):this.parseError("Lexical error on line "+(this.yylineno+1)+". 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this.yy)Object.prototype.hasOwnProperty.call(this.yy,p)&&(g.yy[p]=this.yy[p]);d.setInput(t,g.yy),g.yy.lexer=d,g.yy.parser=this,void 0===d.yylloc&&(d.yylloc={});var b=d.yylloc;a.push(b);var w=d.options&&d.options.ranges;function y(){var t;return"number"!=typeof(t=i.pop()||d.lex()||h)&&(t instanceof Array&&(t=(i=t).pop()),t=e.symbols_[t]||t),t}"function"==typeof g.yy.parseError?this.parseError=g.yy.parseError:this.parseError=Object.getPrototypeOf(this).parseError;for(var m,v,x,k,_,E,T,C,S={};;){if(v=n[n.length-1],this.defaultActions[v]?x=this.defaultActions[v]:(null==m&&(m=y()),x=o[v]&&o[v][m]),void 0===x||!x.length||!x[0]){var A="";for(_ in C=[],o[v])this.terminals_[_]&&_>l&&C.push("'"+this.terminals_[_]+"'");A=d.showPosition?"Parse error on line "+(c+1)+":\n"+d.showPosition()+"\nExpecting "+C.join(", ")+", got '"+(this.terminals_[m]||m)+"'":"Parse error on line "+(c+1)+": Unexpected "+(m==h?"end of 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t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScale"+t]=(0,g.Z)(this["cScale"+t],10),this["cScalePeer"+t]=this["cScalePeer"+t]||(0,g.Z)(this["cScale"+t],25);for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScaleInv"+t]=this["cScaleInv"+t]||l(this["cScale"+t],{h:180});for(let t=0;t<5;t++)this["surface"+t]=this["surface"+t]||l(this.mainBkg,{h:30,l:-(5+5*t)}),this["surfacePeer"+t]=this["surfacePeer"+t]||l(this.mainBkg,{h:30,l:-(7+5*t)});if(this.scaleLabelColor="calculated"!==this.scaleLabelColor&&this.scaleLabelColor?this.scaleLabelColor:this.labelTextColor,"calculated"!==this.labelTextColor){this.cScaleLabel0=this.cScaleLabel0||d(this.labelTextColor),this.cScaleLabel3=this.cScaleLabel3||d(this.labelTextColor);for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScaleLabel"+t]=this["cScaleLabel"+t]||this.labelTextColor}this.nodeBkg=this.mainBkg,this.nodeBorder=this.border1,this.clusterBkg=this.secondBkg,this.clusterBorder=this.border2,this.defaultLinkColor=this.lineColor,this.titleColor=this.textColor,this.edgeLabelBackground=this.labelBackground,this.actorBorder=(0,p.Z)(this.border1,23),this.actorBkg=this.mainBkg,this.labelBoxBkgColor=this.actorBkg,this.signalColor=this.textColor,this.signalTextColor=this.textColor,this.labelBoxBorderColor=this.actorBorder,this.labelTextColor=this.actorTextColor,this.loopTextColor=this.actorTextColor,this.noteBorderColor=this.border2,this.noteTextColor=this.actorTextColor,this.taskTextColor=this.taskTextLightColor,this.taskTextOutsideColor=this.taskTextDarkColor,this.transitionColor=this.transitionColor||this.lineColor,this.transitionLabelColor=this.transitionLabelColor||this.textColor,this.stateLabelColor=this.stateLabelColor||this.stateBkg||this.primaryTextColor,this.stateBkg=this.stateBkg||this.mainBkg,this.labelBackgroundColor=this.labelBackgroundColor||this.stateBkg,this.compositeBackground=this.compositeBackground||this.background||this.tertiaryColor,this.altBackground=this.altBackground||"#f0f0f0",this.compositeTitleBackground=this.compositeTitleBackground||this.mainBkg,this.compositeBorder=this.compositeBorder||this.nodeBorder,this.innerEndBackground=this.nodeBorder,this.specialStateColor=this.lineColor,this.errorBkgColor=this.errorBkgColor||this.tertiaryColor,this.errorTextColor=this.errorTextColor||this.tertiaryTextColor,this.transitionColor=this.transitionColor||this.lineColor,this.classText=this.primaryTextColor,this.fillType0=this.primaryColor,this.fillType1=this.secondaryColor,this.fillType2=l(this.primaryColor,{h:64}),this.fillType3=l(this.secondaryColor,{h:64}),this.fillType4=l(this.primaryColor,{h:-64}),this.fillType5=l(this.secondaryColor,{h:-64}),this.fillType6=l(this.primaryColor,{h:128}),this.fillType7=l(this.secondaryColor,{h:128}),this.pie1=this.pie1||this.primaryColor,this.pie2=this.pie2||this.secondaryColor,this.pie3=this.pie3||l(this.tertiaryColor,{l:-40}),this.pie4=this.pie4||l(this.primaryColor,{l:-10}),this.pie5=this.pie5||l(this.secondaryColor,{l:-30}),this.pie6=this.pie6||l(this.tertiaryColor,{l:-20}),this.pie7=this.pie7||l(this.primaryColor,{h:60,l:-20}),this.pie8=this.pie8||l(this.primaryColor,{h:-60,l:-40}),this.pie9=this.pie9||l(this.primaryColor,{h:120,l:-40}),this.pie10=this.pie10||l(this.primaryColor,{h:60,l:-40}),this.pie11=this.pie11||l(this.primaryColor,{h:-90,l:-40}),this.pie12=this.pie12||l(this.primaryColor,{h:120,l:-30}),this.pieTitleTextSize=this.pieTitleTextSize||"25px",this.pieTitleTextColor=this.pieTitleTextColor||this.taskTextDarkColor,this.pieSectionTextSize=this.pieSectionTextSize||"17px",this.pieSectionTextColor=this.pieSectionTextColor||this.textColor,this.pieLegendTextSize=this.pieLegendTextSize||"17px",this.pieLegendTextColor=this.pieLegendTextColor||this.taskTextDarkColor,this.pieStrokeColor=this.pieStrokeColor||"black",this.pieStrokeWidth=this.pieStrokeWidth||"2px",this.pieOuterStrokeWidth=this.pieOuterStrokeWidth||"2px",this.pieOuterStrokeColor=this.pieOuterStrokeColor||"black",this.pieOpacity=this.pieOpacity||"0.7",this.quadrant1Fill=this.quadrant1Fill||this.primaryColor,this.quadrant2Fill=this.quadrant2Fill||l(this.primaryColor,{r:5,g:5,b:5}),this.quadrant3Fill=this.quadrant3Fill||l(this.primaryColor,{r:10,g:10,b:10}),this.quadrant4Fill=this.quadrant4Fill||l(this.primaryColor,{r:15,g:15,b:15}),this.quadrant1TextFill=this.quadrant1TextFill||this.primaryTextColor,this.quadrant2TextFill=this.quadrant2TextFill||l(this.primaryTextColor,{r:-5,g:-5,b:-5}),this.quadrant3TextFill=this.quadrant3TextFill||l(this.primaryTextColor,{r:-10,g:-10,b:-10}),this.quadrant4TextFill=this.quadrant4TextFill||l(this.primaryTextColor,{r:-15,g:-15,b:-15}),this.quadrantPointFill=this.quadrantPointFill||(0,b.Z)(this.quadrant1Fill)?(0,p.Z)(this.quadrant1Fill):(0,g.Z)(this.quadrant1Fill),this.quadrantPointTextFill=this.quadrantPointTextFill||this.primaryTextColor,this.quadrantXAxisTextFill=this.quadrantXAxisTextFill||this.primaryTextColor,this.quadrantYAxisTextFill=this.quadrantYAxisTextFill||this.primaryTextColor,this.quadrantInternalBorderStrokeFill=this.quadrantInternalBorderStrokeFill||this.primaryBorderColor,this.quadrantExternalBorderStrokeFill=this.quadrantExternalBorderStrokeFill||this.primaryBorderColor,this.quadrantTitleFill=this.quadrantTitleFill||this.primaryTextColor,this.requirementBackground=this.requirementBackground||this.primaryColor,this.requirementBorderColor=this.requirementBorderColor||this.primaryBorderColor,this.requirementBorderSize=this.requirementBorderSize||"1",this.requirementTextColor=this.requirementTextColor||this.primaryTextColor,this.relationColor=this.relationColor||this.lineColor,this.relationLabelBackground=this.relationLabelBackground||this.labelBackground,this.relationLabelColor=this.relationLabelColor||this.actorTextColor,this.git0=this.git0||this.primaryColor,this.git1=this.git1||this.secondaryColor,this.git2=this.git2||this.tertiaryColor,this.git3=this.git3||l(this.primaryColor,{h:-30}),this.git4=this.git4||l(this.primaryColor,{h:-60}),this.git5=this.git5||l(this.primaryColor,{h:-90}),this.git6=this.git6||l(this.primaryColor,{h:60}),this.git7=this.git7||l(this.primaryColor,{h:120}),this.darkMode?(this.git0=(0,p.Z)(this.git0,25),this.git1=(0,p.Z)(this.git1,25),this.git2=(0,p.Z)(this.git2,25),this.git3=(0,p.Z)(this.git3,25),this.git4=(0,p.Z)(this.git4,25),this.git5=(0,p.Z)(this.git5,25),this.git6=(0,p.Z)(this.git6,25),this.git7=(0,p.Z)(this.git7,25)):(this.git0=(0,g.Z)(this.git0,25),this.git1=(0,g.Z)(this.git1,25),this.git2=(0,g.Z)(this.git2,25),this.git3=(0,g.Z)(this.git3,25),this.git4=(0,g.Z)(this.git4,25),this.git5=(0,g.Z)(this.git5,25),this.git6=(0,g.Z)(this.git6,25),this.git7=(0,g.Z)(this.git7,25)),this.gitInv0=this.gitInv0||(0,g.Z)(d(this.git0),25),this.gitInv1=this.gitInv1||d(this.git1),this.gitInv2=this.gitInv2||d(this.git2),this.gitInv3=this.gitInv3||d(this.git3),this.gitInv4=this.gitInv4||d(this.git4),this.gitInv5=this.gitInv5||d(this.git5),this.gitInv6=this.gitInv6||d(this.git6),this.gitInv7=this.gitInv7||d(this.git7),this.gitBranchLabel0=this.gitBranchLabel0||d(this.labelTextColor),this.gitBranchLabel1=this.gitBranchLabel1||this.labelTextColor,this.gitBranchLabel2=this.gitBranchLabel2||this.labelTextColor,this.gitBranchLabel3=this.gitBranchLabel3||d(this.labelTextColor),this.gitBranchLabel4=this.gitBranchLabel4||this.labelTextColor,this.gitBranchLabel5=this.gitBranchLabel5||this.labelTextColor,this.gitBranchLabel6=this.gitBranchLabel6||this.labelTextColor,this.gitBranchLabel7=this.gitBranchLabel7||this.labelTextColor,this.tagLabelColor=this.tagLabelColor||this.primaryTextColor,this.tagLabelBackground=this.tagLabelBackground||this.primaryColor,this.tagLabelBorder=this.tagBorder||this.primaryBorderColor,this.tagLabelFontSize=this.tagLabelFontSize||"10px",this.commitLabelColor=this.commitLabelColor||this.secondaryTextColor,this.commitLabelBackground=this.commitLabelBackground||this.secondaryColor,this.commitLabelFontSize=this.commitLabelFontSize||"10px",this.attributeBackgroundColorOdd=this.attributeBackgroundColorOdd||xt,this.attributeBackgroundColorEven=this.attributeBackgroundColorEven||kt}calculate(t){if("object"!=typeof t)return void this.updateColors();const e=Object.keys(t);e.forEach((e=>{this[e]=t[e]})),this.updateColors(),e.forEach((e=>{this[e]=t[e]}))}};return e.calculate(t),e};class Et{constructor(){this.primaryColor="#eee",this.contrast="#707070",this.secondaryColor=(0,p.Z)(this.contrast,55),this.background="#ffffff",this.tertiaryColor=l(this.primaryColor,{h:-160}),this.primaryBorderColor=vt(this.primaryColor,this.darkMode),this.secondaryBorderColor=vt(this.secondaryColor,this.darkMode),this.tertiaryBorderColor=vt(this.tertiaryColor,this.darkMode),this.primaryTextColor=d(this.primaryColor),this.secondaryTextColor=d(this.secondaryColor),this.tertiaryTextColor=d(this.tertiaryColor),this.lineColor=d(this.background),this.textColor=d(this.background),this.mainBkg="#eee",this.secondBkg="calculated",this.lineColor="#666",this.border1="#999",this.border2="calculated",this.note="#ffa",this.text="#333",this.critical="#d42",this.done="#bbb",this.arrowheadColor="#333333",this.fontFamily='"trebuchet ms", verdana, arial, sans-serif',this.fontSize="16px",this.THEME_COLOR_LIMIT=12,this.nodeBkg="calculated",this.nodeBorder="calculated",this.clusterBkg="calculated",this.clusterBorder="calculated",this.defaultLinkColor="calculated",this.titleColor="calculated",this.edgeLabelBackground="white",this.actorBorder="calculated",this.actorBkg="calculated",this.actorTextColor="calculated",this.actorLineColor="calculated",this.signalColor="calculated",this.signalTextColor="calculated",this.labelBoxBkgColor="calculated",this.labelBoxBorderColor="calculated",this.labelTextColor="calculated",this.loopTextColor="calculated",this.noteBorderColor="calculated",this.noteBkgColor="calculated",this.noteTextColor="calculated",this.activationBorderColor="#666",this.activationBkgColor="#f4f4f4",this.sequenceNumberColor="white",this.sectionBkgColor="calculated",this.altSectionBkgColor="white",this.sectionBkgColor2="calculated",this.excludeBkgColor="#eeeeee",this.taskBorderColor="calculated",this.taskBkgColor="calculated",this.taskTextLightColor="white",this.taskTextColor="calculated",this.taskTextDarkColor="calculated",this.taskTextOutsideColor="calculated",this.taskTextClickableColor="#003163",this.activeTaskBorderColor="calculated",this.activeTaskBkgColor="calculated",this.gridColor="calculated",this.doneTaskBkgColor="calculated",this.doneTaskBorderColor="calculated",this.critBkgColor="calculated",this.critBorderColor="calculated",this.todayLineColor="calculated",this.personBorder=this.primaryBorderColor,this.personBkg=this.mainBkg,this.labelColor="black",this.errorBkgColor="#552222",this.errorTextColor="#552222"}updateColors(){this.secondBkg=(0,p.Z)(this.contrast,55),this.border2=this.contrast,this.actorBorder=(0,p.Z)(this.border1,23),this.actorBkg=this.mainBkg,this.actorTextColor=this.text,this.actorLineColor=this.lineColor,this.signalColor=this.text,this.signalTextColor=this.text,this.labelBoxBkgColor=this.actorBkg,this.labelBoxBorderColor=this.actorBorder,this.labelTextColor=this.text,this.loopTextColor=this.text,this.noteBorderColor="#999",this.noteBkgColor="#666",this.noteTextColor="#fff",this.cScale0=this.cScale0||"#555",this.cScale1=this.cScale1||"#F4F4F4",this.cScale2=this.cScale2||"#555",this.cScale3=this.cScale3||"#BBB",this.cScale4=this.cScale4||"#777",this.cScale5=this.cScale5||"#999",this.cScale6=this.cScale6||"#DDD",this.cScale7=this.cScale7||"#FFF",this.cScale8=this.cScale8||"#DDD",this.cScale9=this.cScale9||"#BBB",this.cScale10=this.cScale10||"#999",this.cScale11=this.cScale11||"#777";for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScaleInv"+t]=this["cScaleInv"+t]||d(this["cScale"+t]);for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this.darkMode?this["cScalePeer"+t]=this["cScalePeer"+t]||(0,p.Z)(this["cScale"+t],10):this["cScalePeer"+t]=this["cScalePeer"+t]||(0,g.Z)(this["cScale"+t],10);this.scaleLabelColor=this.scaleLabelColor||(this.darkMode?"black":this.labelTextColor),this.cScaleLabel0=this.cScaleLabel0||this.cScale1,this.cScaleLabel2=this.cScaleLabel2||this.cScale1;for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScaleLabel"+t]=this["cScaleLabel"+t]||this.scaleLabelColor;for(let t=0;t<5;t++)this["surface"+t]=this["surface"+t]||l(this.mainBkg,{l:-(5+5*t)}),this["surfacePeer"+t]=this["surfacePeer"+t]||l(this.mainBkg,{l:-(8+5*t)});this.nodeBkg=this.mainBkg,this.nodeBorder=this.border1,this.clusterBkg=this.secondBkg,this.clusterBorder=this.border2,this.defaultLinkColor=this.lineColor,this.titleColor=this.text,this.sectionBkgColor=(0,p.Z)(this.contrast,30),this.sectionBkgColor2=(0,p.Z)(this.contrast,30),this.taskBorderColor=(0,g.Z)(this.contrast,10),this.taskBkgColor=this.contrast,this.taskTextColor=this.taskTextLightColor,this.taskTextDarkColor=this.text,this.taskTextOutsideColor=this.taskTextDarkColor,this.activeTaskBorderColor=this.taskBorderColor,this.activeTaskBkgColor=this.mainBkg,this.gridColor=(0,p.Z)(this.border1,30),this.doneTaskBkgColor=this.done,this.doneTaskBorderColor=this.lineColor,this.critBkgColor=this.critical,this.critBorderColor=(0,g.Z)(this.critBkgColor,10),this.todayLineColor=this.critBkgColor,this.transitionColor=this.transitionColor||"#000",this.transitionLabelColor=this.transitionLabelColor||this.textColor,this.stateLabelColor=this.stateLabelColor||this.stateBkg||this.primaryTextColor,this.stateBkg=this.stateBkg||this.mainBkg,this.labelBackgroundColor=this.labelBackgroundColor||this.stateBkg,this.compositeBackground=this.compositeBackground||this.background||this.tertiaryColor,this.altBackground=this.altBackground||"#f4f4f4",this.compositeTitleBackground=this.compositeTitleBackground||this.mainBkg,this.stateBorder=this.stateBorder||"#000",this.innerEndBackground=this.primaryBorderColor,this.specialStateColor="#222",this.errorBkgColor=this.errorBkgColor||this.tertiaryColor,this.errorTextColor=this.errorTextColor||this.tertiaryTextColor,this.classText=this.primaryTextColor,this.fillType0=this.primaryColor,this.fillType1=this.secondaryColor,this.fillType2=l(this.primaryColor,{h:64}),this.fillType3=l(this.secondaryColor,{h:64}),this.fillType4=l(this.primaryColor,{h:-64}),this.fillType5=l(this.secondaryColor,{h:-64}),this.fillType6=l(this.primaryColor,{h:128}),this.fillType7=l(this.secondaryColor,{h:128});for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["pie"+t]=this["cScale"+t];this.pie12=this.pie0,this.pieTitleTextSize=this.pieTitleTextSize||"25px",this.pieTitleTextColor=this.pieTitleTextColor||this.taskTextDarkColor,this.pieSectionTextSize=this.pieSectionTextSize||"17px",this.pieSectionTextColor=this.pieSectionTextColor||this.textColor,this.pieLegendTextSize=this.pieLegendTextSize||"17px",this.pieLegendTextColor=this.pieLegendTextColor||this.taskTextDarkColor,this.pieStrokeColor=this.pieStrokeColor||"black",this.pieStrokeWidth=this.pieStrokeWidth||"2px",this.pieOuterStrokeWidth=this.pieOuterStrokeWidth||"2px",this.pieOuterStrokeColor=this.pieOuterStrokeColor||"black",this.pieOpacity=this.pieOpacity||"0.7",this.quadrant1Fill=this.quadrant1Fill||this.primaryColor,this.quadrant2Fill=this.quadrant2Fill||l(this.primaryColor,{r:5,g:5,b:5}),this.quadrant3Fill=this.quadrant3Fill||l(this.primaryColor,{r:10,g:10,b:10}),this.quadrant4Fill=this.quadrant4Fill||l(this.primaryColor,{r:15,g:15,b:15}),this.quadrant1TextFill=this.quadrant1TextFill||this.primaryTextColor,this.quadrant2TextFill=this.quadrant2TextFill||l(this.primaryTextColor,{r:-5,g:-5,b:-5}),this.quadrant3TextFill=this.quadrant3TextFill||l(this.primaryTextColor,{r:-10,g:-10,b:-10}),this.quadrant4TextFill=this.quadrant4TextFill||l(this.primaryTextColor,{r:-15,g:-15,b:-15}),this.quadrantPointFill=this.quadrantPointFill||(0,b.Z)(this.quadrant1Fill)?(0,p.Z)(this.quadrant1Fill):(0,g.Z)(this.quadrant1Fill),this.quadrantPointTextFill=this.quadrantPointTextFill||this.primaryTextColor,this.quadrantXAxisTextFill=this.quadrantXAxisTextFill||this.primaryTextColor,this.quadrantYAxisTextFill=this.quadrantYAxisTextFill||this.primaryTextColor,this.quadrantInternalBorderStrokeFill=this.quadrantInternalBorderStrokeFill||this.primaryBorderColor,this.quadrantExternalBorderStrokeFill=this.quadrantExternalBorderStrokeFill||this.primaryBorderColor,this.quadrantTitleFill=this.quadrantTitleFill||this.primaryTextColor,this.requirementBackground=this.requirementBackground||this.primaryColor,this.requirementBorderColor=this.requirementBorderColor||this.primaryBorderColor,this.requirementBorderSize=this.requirementBorderSize||"1",this.requirementTextColor=this.requirementTextColor||this.primaryTextColor,this.relationColor=this.relationColor||this.lineColor,this.relationLabelBackground=this.relationLabelBackground||this.edgeLabelBackground,this.relationLabelColor=this.relationLabelColor||this.actorTextColor,this.git0=(0,g.Z)(this.pie1,25)||this.primaryColor,this.git1=this.pie2||this.secondaryColor,this.git2=this.pie3||this.tertiaryColor,this.git3=this.pie4||l(this.primaryColor,{h:-30}),this.git4=this.pie5||l(this.primaryColor,{h:-60}),this.git5=this.pie6||l(this.primaryColor,{h:-90}),this.git6=this.pie7||l(this.primaryColor,{h:60}),this.git7=this.pie8||l(this.primaryColor,{h:120}),this.gitInv0=this.gitInv0||d(this.git0),this.gitInv1=this.gitInv1||d(this.git1),this.gitInv2=this.gitInv2||d(this.git2),this.gitInv3=this.gitInv3||d(this.git3),this.gitInv4=this.gitInv4||d(this.git4),this.gitInv5=this.gitInv5||d(this.git5),this.gitInv6=this.gitInv6||d(this.git6),this.gitInv7=this.gitInv7||d(this.git7),this.branchLabelColor=this.branchLabelColor||this.labelTextColor,this.gitBranchLabel0=this.branchLabelColor,this.gitBranchLabel1="white",this.gitBranchLabel2=this.branchLabelColor,this.gitBranchLabel3="white",this.gitBranchLabel4=this.branchLabelColor,this.gitBranchLabel5=this.branchLabelColor,this.gitBranchLabel6=this.branchLabelColor,this.gitBranchLabel7=this.branchLabelColor,this.tagLabelColor=this.tagLabelColor||this.primaryTextColor,this.tagLabelBackground=this.tagLabelBackground||this.primaryColor,this.tagLabelBorder=this.tagBorder||this.primaryBorderColor,this.tagLabelFontSize=this.tagLabelFontSize||"10px",this.commitLabelColor=this.commitLabelColor||this.secondaryTextColor,this.commitLabelBackground=this.commitLabelBackground||this.secondaryColor,this.commitLabelFontSize=this.commitLabelFontSize||"10px",this.attributeBackgroundColorOdd=this.attributeBackgroundColorOdd||xt,this.attributeBackgroundColorEven=this.attributeBackgroundColorEven||kt}calculate(t){if("object"!=typeof t)return void this.updateColors();const e=Object.keys(t);e.forEach((e=>{this[e]=t[e]})),this.updateColors(),e.forEach((e=>{this[e]=t[e]}))}}const Tt={base:{getThemeVariables:t=>{const e=new class{constructor(){this.background="#f4f4f4",this.primaryColor="#fff4dd",this.noteBkgColor="#fff5ad",this.noteTextColor="#333",this.THEME_COLOR_LIMIT=12,this.fontFamily='"trebuchet ms", verdana, arial, sans-serif',this.fontSize="16px"}updateColors(){if(this.primaryTextColor=this.primaryTextColor||(this.darkMode?"#eee":"#333"),this.secondaryColor=this.secondaryColor||l(this.primaryColor,{h:-120}),this.tertiaryColor=this.tertiaryColor||l(this.primaryColor,{h:180,l:5}),this.primaryBorderColor=this.primaryBorderColor||vt(this.primaryColor,this.darkMode),this.secondaryBorderColor=this.secondaryBorderColor||vt(this.secondaryColor,this.darkMode),this.tertiaryBorderColor=this.tertiaryBorderColor||vt(this.tertiaryColor,this.darkMode),this.noteBorderColor=this.noteBorderColor||vt(this.noteBkgColor,this.darkMode),this.noteBkgColor=this.noteBkgColor||"#fff5ad",this.noteTextColor=this.noteTextColor||"#333",this.secondaryTextColor=this.secondaryTextColor||d(this.secondaryColor),this.tertiaryTextColor=this.tertiaryTextColor||d(this.tertiaryColor),this.lineColor=this.lineColor||d(this.background),this.arrowheadColor=this.arrowheadColor||d(this.background),this.textColor=this.textColor||this.primaryTextColor,this.border2=this.border2||this.tertiaryBorderColor,this.nodeBkg=this.nodeBkg||this.primaryColor,this.mainBkg=this.mainBkg||this.primaryColor,this.nodeBorder=this.nodeBorder||this.primaryBorderColor,this.clusterBkg=this.clusterBkg||this.tertiaryColor,this.clusterBorder=this.clusterBorder||this.tertiaryBorderColor,this.defaultLinkColor=this.defaultLinkColor||this.lineColor,this.titleColor=this.titleColor||this.tertiaryTextColor,this.edgeLabelBackground=this.edgeLabelBackground||(this.darkMode?(0,g.Z)(this.secondaryColor,30):this.secondaryColor),this.nodeTextColor=this.nodeTextColor||this.primaryTextColor,this.actorBorder=this.actorBorder||this.primaryBorderColor,this.actorBkg=this.actorBkg||this.mainBkg,this.actorTextColor=this.actorTextColor||this.primaryTextColor,this.actorLineColor=this.actorLineColor||"grey",this.labelBoxBkgColor=this.labelBoxBkgColor||this.actorBkg,this.signalColor=this.signalColor||this.textColor,this.signalTextColor=this.signalTextColor||this.textColor,this.labelBoxBorderColor=this.labelBoxBorderColor||this.actorBorder,this.labelTextColor=this.labelTextColor||this.actorTextColor,this.loopTextColor=this.loopTextColor||this.actorTextColor,this.activationBorderColor=this.activationBorderColor||(0,g.Z)(this.secondaryColor,10),this.activationBkgColor=this.activationBkgColor||this.secondaryColor,this.sequenceNumberColor=this.sequenceNumberColor||d(this.lineColor),this.sectionBkgColor=this.sectionBkgColor||this.tertiaryColor,this.altSectionBkgColor=this.altSectionBkgColor||"white",this.sectionBkgColor=this.sectionBkgColor||this.secondaryColor,this.sectionBkgColor2=this.sectionBkgColor2||this.primaryColor,this.excludeBkgColor=this.excludeBkgColor||"#eeeeee",this.taskBorderColor=this.taskBorderColor||this.primaryBorderColor,this.taskBkgColor=this.taskBkgColor||this.primaryColor,this.activeTaskBorderColor=this.activeTaskBorderColor||this.primaryColor,this.activeTaskBkgColor=this.activeTaskBkgColor||(0,p.Z)(this.primaryColor,23),this.gridColor=this.gridColor||"lightgrey",this.doneTaskBkgColor=this.doneTaskBkgColor||"lightgrey",this.doneTaskBorderColor=this.doneTaskBorderColor||"grey",this.critBorderColor=this.critBorderColor||"#ff8888",this.critBkgColor=this.critBkgColor||"red",this.todayLineColor=this.todayLineColor||"red",this.taskTextColor=this.taskTextColor||this.textColor,this.taskTextOutsideColor=this.taskTextOutsideColor||this.textColor,this.taskTextLightColor=this.taskTextLightColor||this.textColor,this.taskTextColor=this.taskTextColor||this.primaryTextColor,this.taskTextDarkColor=this.taskTextDarkColor||this.textColor,this.taskTextClickableColor=this.taskTextClickableColor||"#003163",this.personBorder=this.personBorder||this.primaryBorderColor,this.personBkg=this.personBkg||this.mainBkg,this.transitionColor=this.transitionColor||this.lineColor,this.transitionLabelColor=this.transitionLabelColor||this.textColor,this.stateLabelColor=this.stateLabelColor||this.stateBkg||this.primaryTextColor,this.stateBkg=this.stateBkg||this.mainBkg,this.labelBackgroundColor=this.labelBackgroundColor||this.stateBkg,this.compositeBackground=this.compositeBackground||this.background||this.tertiaryColor,this.altBackground=this.altBackground||this.tertiaryColor,this.compositeTitleBackground=this.compositeTitleBackground||this.mainBkg,this.compositeBorder=this.compositeBorder||this.nodeBorder,this.innerEndBackground=this.nodeBorder,this.errorBkgColor=this.errorBkgColor||this.tertiaryColor,this.errorTextColor=this.errorTextColor||this.tertiaryTextColor,this.transitionColor=this.transitionColor||this.lineColor,this.specialStateColor=this.lineColor,this.cScale0=this.cScale0||this.primaryColor,this.cScale1=this.cScale1||this.secondaryColor,this.cScale2=this.cScale2||this.tertiaryColor,this.cScale3=this.cScale3||l(this.primaryColor,{h:30}),this.cScale4=this.cScale4||l(this.primaryColor,{h:60}),this.cScale5=this.cScale5||l(this.primaryColor,{h:90}),this.cScale6=this.cScale6||l(this.primaryColor,{h:120}),this.cScale7=this.cScale7||l(this.primaryColor,{h:150}),this.cScale8=this.cScale8||l(this.primaryColor,{h:210,l:150}),this.cScale9=this.cScale9||l(this.primaryColor,{h:270}),this.cScale10=this.cScale10||l(this.primaryColor,{h:300}),this.cScale11=this.cScale11||l(this.primaryColor,{h:330}),this.darkMode)for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScale"+t]=(0,g.Z)(this["cScale"+t],75);else for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScale"+t]=(0,g.Z)(this["cScale"+t],25);for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScaleInv"+t]=this["cScaleInv"+t]||d(this["cScale"+t]);for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this.darkMode?this["cScalePeer"+t]=this["cScalePeer"+t]||(0,p.Z)(this["cScale"+t],10):this["cScalePeer"+t]=this["cScalePeer"+t]||(0,g.Z)(this["cScale"+t],10);this.scaleLabelColor=this.scaleLabelColor||this.labelTextColor;for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScaleLabel"+t]=this["cScaleLabel"+t]||this.scaleLabelColor;const t=this.darkMode?-4:-1;for(let e=0;e<5;e++)this["surface"+e]=this["surface"+e]||l(this.mainBkg,{h:180,s:-15,l:t*(5+3*e)}),this["surfacePeer"+e]=this["surfacePeer"+e]||l(this.mainBkg,{h:180,s:-15,l:t*(8+3*e)});this.classText=this.classText||this.textColor,this.fillType0=this.fillType0||this.primaryColor,this.fillType1=this.fillType1||this.secondaryColor,this.fillType2=this.fillType2||l(this.primaryColor,{h:64}),this.fillType3=this.fillType3||l(this.secondaryColor,{h:64}),this.fillType4=this.fillType4||l(this.primaryColor,{h:-64}),this.fillType5=this.fillType5||l(this.secondaryColor,{h:-64}),this.fillType6=this.fillType6||l(this.primaryColor,{h:128}),this.fillType7=this.fillType7||l(this.secondaryColor,{h:128}),this.pie1=this.pie1||this.primaryColor,this.pie2=this.pie2||this.secondaryColor,this.pie3=this.pie3||this.tertiaryColor,this.pie4=this.pie4||l(this.primaryColor,{l:-10}),this.pie5=this.pie5||l(this.secondaryColor,{l:-10}),this.pie6=this.pie6||l(this.tertiaryColor,{l:-10}),this.pie7=this.pie7||l(this.primaryColor,{h:60,l:-10}),this.pie8=this.pie8||l(this.primaryColor,{h:-60,l:-10}),this.pie9=this.pie9||l(this.primaryColor,{h:120,l:0}),this.pie10=this.pie10||l(this.primaryColor,{h:60,l:-20}),this.pie11=this.pie11||l(this.primaryColor,{h:-60,l:-20}),this.pie12=this.pie12||l(this.primaryColor,{h:120,l:-10}),this.pieTitleTextSize=this.pieTitleTextSize||"25px",this.pieTitleTextColor=this.pieTitleTextColor||this.taskTextDarkColor,this.pieSectionTextSize=this.pieSectionTextSize||"17px",this.pieSectionTextColor=this.pieSectionTextColor||this.textColor,this.pieLegendTextSize=this.pieLegendTextSize||"17px",this.pieLegendTextColor=this.pieLegendTextColor||this.taskTextDarkColor,this.pieStrokeColor=this.pieStrokeColor||"black",this.pieStrokeWidth=this.pieStrokeWidth||"2px",this.pieOuterStrokeWidth=this.pieOuterStrokeWidth||"2px",this.pieOuterStrokeColor=this.pieOuterStrokeColor||"black",this.pieOpacity=this.pieOpacity||"0.7",this.quadrant1Fill=this.quadrant1Fill||this.primaryColor,this.quadrant2Fill=this.quadrant2Fill||l(this.primaryColor,{r:5,g:5,b:5}),this.quadrant3Fill=this.quadrant3Fill||l(this.primaryColor,{r:10,g:10,b:10}),this.quadrant4Fill=this.quadrant4Fill||l(this.primaryColor,{r:15,g:15,b:15}),this.quadrant1TextFill=this.quadrant1TextFill||this.primaryTextColor,this.quadrant2TextFill=this.quadrant2TextFill||l(this.primaryTextColor,{r:-5,g:-5,b:-5}),this.quadrant3TextFill=this.quadrant3TextFill||l(this.primaryTextColor,{r:-10,g:-10,b:-10}),this.quadrant4TextFill=this.quadrant4TextFill||l(this.primaryTextColor,{r:-15,g:-15,b:-15}),this.quadrantPointFill=this.quadrantPointFill||(0,b.Z)(this.quadrant1Fill)?(0,p.Z)(this.quadrant1Fill):(0,g.Z)(this.quadrant1Fill),this.quadrantPointTextFill=this.quadrantPointTextFill||this.primaryTextColor,this.quadrantXAxisTextFill=this.quadrantXAxisTextFill||this.primaryTextColor,this.quadrantYAxisTextFill=this.quadrantYAxisTextFill||this.primaryTextColor,this.quadrantInternalBorderStrokeFill=this.quadrantInternalBorderStrokeFill||this.primaryBorderColor,this.quadrantExternalBorderStrokeFill=this.quadrantExternalBorderStrokeFill||this.primaryBorderColor,this.quadrantTitleFill=this.quadrantTitleFill||this.primaryTextColor,this.requirementBackground=this.requirementBackground||this.primaryColor,this.requirementBorderColor=this.requirementBorderColor||this.primaryBorderColor,this.requirementBorderSize=this.requirementBorderSize||"1",this.requirementTextColor=this.requirementTextColor||this.primaryTextColor,this.relationColor=this.relationColor||this.lineColor,this.relationLabelBackground=this.relationLabelBackground||(this.darkMode?(0,g.Z)(this.secondaryColor,30):this.secondaryColor),this.relationLabelColor=this.relationLabelColor||this.actorTextColor,this.git0=this.git0||this.primaryColor,this.git1=this.git1||this.secondaryColor,this.git2=this.git2||this.tertiaryColor,this.git3=this.git3||l(this.primaryColor,{h:-30}),this.git4=this.git4||l(this.primaryColor,{h:-60}),this.git5=this.git5||l(this.primaryColor,{h:-90}),this.git6=this.git6||l(this.primaryColor,{h:60}),this.git7=this.git7||l(this.primaryColor,{h:120}),this.darkMode?(this.git0=(0,p.Z)(this.git0,25),this.git1=(0,p.Z)(this.git1,25),this.git2=(0,p.Z)(this.git2,25),this.git3=(0,p.Z)(this.git3,25),this.git4=(0,p.Z)(this.git4,25),this.git5=(0,p.Z)(this.git5,25),this.git6=(0,p.Z)(this.git6,25),this.git7=(0,p.Z)(this.git7,25)):(this.git0=(0,g.Z)(this.git0,25),this.git1=(0,g.Z)(this.git1,25),this.git2=(0,g.Z)(this.git2,25),this.git3=(0,g.Z)(this.git3,25),this.git4=(0,g.Z)(this.git4,25),this.git5=(0,g.Z)(this.git5,25),this.git6=(0,g.Z)(this.git6,25),this.git7=(0,g.Z)(this.git7,25)),this.gitInv0=this.gitInv0||d(this.git0),this.gitInv1=this.gitInv1||d(this.git1),this.gitInv2=this.gitInv2||d(this.git2),this.gitInv3=this.gitInv3||d(this.git3),this.gitInv4=this.gitInv4||d(this.git4),this.gitInv5=this.gitInv5||d(this.git5),this.gitInv6=this.gitInv6||d(this.git6),this.gitInv7=this.gitInv7||d(this.git7),this.branchLabelColor=this.branchLabelColor||(this.darkMode?"black":this.labelTextColor),this.gitBranchLabel0=this.gitBranchLabel0||this.branchLabelColor,this.gitBranchLabel1=this.gitBranchLabel1||this.branchLabelColor,this.gitBranchLabel2=this.gitBranchLabel2||this.branchLabelColor,this.gitBranchLabel3=this.gitBranchLabel3||this.branchLabelColor,this.gitBranchLabel4=this.gitBranchLabel4||this.branchLabelColor,this.gitBranchLabel5=this.gitBranchLabel5||this.branchLabelColor,this.gitBranchLabel6=this.gitBranchLabel6||this.branchLabelColor,this.gitBranchLabel7=this.gitBranchLabel7||this.branchLabelColor,this.tagLabelColor=this.tagLabelColor||this.primaryTextColor,this.tagLabelBackground=this.tagLabelBackground||this.primaryColor,this.tagLabelBorder=this.tagBorder||this.primaryBorderColor,this.tagLabelFontSize=this.tagLabelFontSize||"10px",this.commitLabelColor=this.commitLabelColor||this.secondaryTextColor,this.commitLabelBackground=this.commitLabelBackground||this.secondaryColor,this.commitLabelFontSize=this.commitLabelFontSize||"10px",this.attributeBackgroundColorOdd=this.attributeBackgroundColorOdd||xt,this.attributeBackgroundColorEven=this.attributeBackgroundColorEven||kt}calculate(t){if("object"!=typeof t)return void this.updateColors();const e=Object.keys(t);e.forEach((e=>{this[e]=t[e]})),this.updateColors(),e.forEach((e=>{this[e]=t[e]}))}};return e.calculate(t),e}},dark:{getThemeVariables:t=>{const e=new class{constructor(){this.background="#333",this.primaryColor="#1f2020",this.secondaryColor=(0,p.Z)(this.primaryColor,16),this.tertiaryColor=l(this.primaryColor,{h:-160}),this.primaryBorderColor=d(this.background),this.secondaryBorderColor=vt(this.secondaryColor,this.darkMode),this.tertiaryBorderColor=vt(this.tertiaryColor,this.darkMode),this.primaryTextColor=d(this.primaryColor),this.secondaryTextColor=d(this.secondaryColor),this.tertiaryTextColor=d(this.tertiaryColor),this.lineColor=d(this.background),this.textColor=d(this.background),this.mainBkg="#1f2020",this.secondBkg="calculated",this.mainContrastColor="lightgrey",this.darkTextColor=(0,p.Z)(d("#323D47"),10),this.lineColor="calculated",this.border1="#81B1DB",this.border2=(0,h.Z)(255,255,255,.25),this.arrowheadColor="calculated",this.fontFamily='"trebuchet ms", verdana, arial, sans-serif',this.fontSize="16px",this.labelBackground="#181818",this.textColor="#ccc",this.THEME_COLOR_LIMIT=12,this.nodeBkg="calculated",this.nodeBorder="calculated",this.clusterBkg="calculated",this.clusterBorder="calculated",this.defaultLinkColor="calculated",this.titleColor="#F9FFFE",this.edgeLabelBackground="calculated",this.actorBorder="calculated",this.actorBkg="calculated",this.actorTextColor="calculated",this.actorLineColor="calculated",this.signalColor="calculated",this.signalTextColor="calculated",this.labelBoxBkgColor="calculated",this.labelBoxBorderColor="calculated",this.labelTextColor="calculated",this.loopTextColor="calculated",this.noteBorderColor="calculated",this.noteBkgColor="#fff5ad",this.noteTextColor="calculated",this.activationBorderColor="calculated",this.activationBkgColor="calculated",this.sequenceNumberColor="black",this.sectionBkgColor=(0,g.Z)("#EAE8D9",30),this.altSectionBkgColor="calculated",this.sectionBkgColor2="#EAE8D9",this.excludeBkgColor=(0,g.Z)(this.sectionBkgColor,10),this.taskBorderColor=(0,h.Z)(255,255,255,70),this.taskBkgColor="calculated",this.taskTextColor="calculated",this.taskTextLightColor="calculated",this.taskTextOutsideColor="calculated",this.taskTextClickableColor="#003163",this.activeTaskBorderColor=(0,h.Z)(255,255,255,50),this.activeTaskBkgColor="#81B1DB",this.gridColor="calculated",this.doneTaskBkgColor="calculated",this.doneTaskBorderColor="grey",this.critBorderColor="#E83737",this.critBkgColor="#E83737",this.taskTextDarkColor="calculated",this.todayLineColor="#DB5757",this.personBorder=this.primaryBorderColor,this.personBkg=this.mainBkg,this.labelColor="calculated",this.errorBkgColor="#a44141",this.errorTextColor="#ddd"}updateColors(){this.secondBkg=(0,p.Z)(this.mainBkg,16),this.lineColor=this.mainContrastColor,this.arrowheadColor=this.mainContrastColor,this.nodeBkg=this.mainBkg,this.nodeBorder=this.border1,this.clusterBkg=this.secondBkg,this.clusterBorder=this.border2,this.defaultLinkColor=this.lineColor,this.edgeLabelBackground=(0,p.Z)(this.labelBackground,25),this.actorBorder=this.border1,this.actorBkg=this.mainBkg,this.actorTextColor=this.mainContrastColor,this.actorLineColor=this.mainContrastColor,this.signalColor=this.mainContrastColor,this.signalTextColor=this.mainContrastColor,this.labelBoxBkgColor=this.actorBkg,this.labelBoxBorderColor=this.actorBorder,this.labelTextColor=this.mainContrastColor,this.loopTextColor=this.mainContrastColor,this.noteBorderColor=this.secondaryBorderColor,this.noteBkgColor=this.secondBkg,this.noteTextColor=this.secondaryTextColor,this.activationBorderColor=this.border1,this.activationBkgColor=this.secondBkg,this.altSectionBkgColor=this.background,this.taskBkgColor=(0,p.Z)(this.mainBkg,23),this.taskTextColor=this.darkTextColor,this.taskTextLightColor=this.mainContrastColor,this.taskTextOutsideColor=this.taskTextLightColor,this.gridColor=this.mainContrastColor,this.doneTaskBkgColor=this.mainContrastColor,this.taskTextDarkColor=this.darkTextColor,this.transitionColor=this.transitionColor||this.lineColor,this.transitionLabelColor=this.transitionLabelColor||this.textColor,this.stateLabelColor=this.stateLabelColor||this.stateBkg||this.primaryTextColor,this.stateBkg=this.stateBkg||this.mainBkg,this.labelBackgroundColor=this.labelBackgroundColor||this.stateBkg,this.compositeBackground=this.compositeBackground||this.background||this.tertiaryColor,this.altBackground=this.altBackground||"#555",this.compositeTitleBackground=this.compositeTitleBackground||this.mainBkg,this.compositeBorder=this.compositeBorder||this.nodeBorder,this.innerEndBackground=this.primaryBorderColor,this.specialStateColor="#f4f4f4",this.errorBkgColor=this.errorBkgColor||this.tertiaryColor,this.errorTextColor=this.errorTextColor||this.tertiaryTextColor,this.fillType0=this.primaryColor,this.fillType1=this.secondaryColor,this.fillType2=l(this.primaryColor,{h:64}),this.fillType3=l(this.secondaryColor,{h:64}),this.fillType4=l(this.primaryColor,{h:-64}),this.fillType5=l(this.secondaryColor,{h:-64}),this.fillType6=l(this.primaryColor,{h:128}),this.fillType7=l(this.secondaryColor,{h:128}),this.cScale1=this.cScale1||"#0b0000",this.cScale2=this.cScale2||"#4d1037",this.cScale3=this.cScale3||"#3f5258",this.cScale4=this.cScale4||"#4f2f1b",this.cScale5=this.cScale5||"#6e0a0a",this.cScale6=this.cScale6||"#3b0048",this.cScale7=this.cScale7||"#995a01",this.cScale8=this.cScale8||"#154706",this.cScale9=this.cScale9||"#161722",this.cScale10=this.cScale10||"#00296f",this.cScale11=this.cScale11||"#01629c",this.cScale12=this.cScale12||"#010029",this.cScale0=this.cScale0||this.primaryColor,this.cScale1=this.cScale1||this.secondaryColor,this.cScale2=this.cScale2||this.tertiaryColor,this.cScale3=this.cScale3||l(this.primaryColor,{h:30}),this.cScale4=this.cScale4||l(this.primaryColor,{h:60}),this.cScale5=this.cScale5||l(this.primaryColor,{h:90}),this.cScale6=this.cScale6||l(this.primaryColor,{h:120}),this.cScale7=this.cScale7||l(this.primaryColor,{h:150}),this.cScale8=this.cScale8||l(this.primaryColor,{h:210}),this.cScale9=this.cScale9||l(this.primaryColor,{h:270}),this.cScale10=this.cScale10||l(this.primaryColor,{h:300}),this.cScale11=this.cScale11||l(this.primaryColor,{h:330});for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScaleInv"+t]=this["cScaleInv"+t]||d(this["cScale"+t]);for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScalePeer"+t]=this["cScalePeer"+t]||(0,p.Z)(this["cScale"+t],10);for(let t=0;t<5;t++)this["surface"+t]=this["surface"+t]||l(this.mainBkg,{h:30,s:-30,l:-(4*t-10)}),this["surfacePeer"+t]=this["surfacePeer"+t]||l(this.mainBkg,{h:30,s:-30,l:-(4*t-7)});this.scaleLabelColor=this.scaleLabelColor||(this.darkMode?"black":this.labelTextColor);for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScaleLabel"+t]=this["cScaleLabel"+t]||this.scaleLabelColor;for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["pie"+t]=this["cScale"+t];this.pieTitleTextSize=this.pieTitleTextSize||"25px",this.pieTitleTextColor=this.pieTitleTextColor||this.taskTextDarkColor,this.pieSectionTextSize=this.pieSectionTextSize||"17px",this.pieSectionTextColor=this.pieSectionTextColor||this.textColor,this.pieLegendTextSize=this.pieLegendTextSize||"17px",this.pieLegendTextColor=this.pieLegendTextColor||this.taskTextDarkColor,this.pieStrokeColor=this.pieStrokeColor||"black",this.pieStrokeWidth=this.pieStrokeWidth||"2px",this.pieOuterStrokeWidth=this.pieOuterStrokeWidth||"2px",this.pieOuterStrokeColor=this.pieOuterStrokeColor||"black",this.pieOpacity=this.pieOpacity||"0.7",this.quadrant1Fill=this.quadrant1Fill||this.primaryColor,this.quadrant2Fill=this.quadrant2Fill||l(this.primaryColor,{r:5,g:5,b:5}),this.quadrant3Fill=this.quadrant3Fill||l(this.primaryColor,{r:10,g:10,b:10}),this.quadrant4Fill=this.quadrant4Fill||l(this.primaryColor,{r:15,g:15,b:15}),this.quadrant1TextFill=this.quadrant1TextFill||this.primaryTextColor,this.quadrant2TextFill=this.quadrant2TextFill||l(this.primaryTextColor,{r:-5,g:-5,b:-5}),this.quadrant3TextFill=this.quadrant3TextFill||l(this.primaryTextColor,{r:-10,g:-10,b:-10}),this.quadrant4TextFill=this.quadrant4TextFill||l(this.primaryTextColor,{r:-15,g:-15,b:-15}),this.quadrantPointFill=this.quadrantPointFill||(0,b.Z)(this.quadrant1Fill)?(0,p.Z)(this.quadrant1Fill):(0,g.Z)(this.quadrant1Fill),this.quadrantPointTextFill=this.quadrantPointTextFill||this.primaryTextColor,this.quadrantXAxisTextFill=this.quadrantXAxisTextFill||this.primaryTextColor,this.quadrantYAxisTextFill=this.quadrantYAxisTextFill||this.primaryTextColor,this.quadrantInternalBorderStrokeFill=this.quadrantInternalBorderStrokeFill||this.primaryBorderColor,this.quadrantExternalBorderStrokeFill=this.quadrantExternalBorderStrokeFill||this.primaryBorderColor,this.quadrantTitleFill=this.quadrantTitleFill||this.primaryTextColor,this.classText=this.primaryTextColor,this.requirementBackground=this.requirementBackground||this.primaryColor,this.requirementBorderColor=this.requirementBorderColor||this.primaryBorderColor,this.requirementBorderSize=this.requirementBorderSize||"1",this.requirementTextColor=this.requirementTextColor||this.primaryTextColor,this.relationColor=this.relationColor||this.lineColor,this.relationLabelBackground=this.relationLabelBackground||(this.darkMode?(0,g.Z)(this.secondaryColor,30):this.secondaryColor),this.relationLabelColor=this.relationLabelColor||this.actorTextColor,this.git0=(0,p.Z)(this.secondaryColor,20),this.git1=(0,p.Z)(this.pie2||this.secondaryColor,20),this.git2=(0,p.Z)(this.pie3||this.tertiaryColor,20),this.git3=(0,p.Z)(this.pie4||l(this.primaryColor,{h:-30}),20),this.git4=(0,p.Z)(this.pie5||l(this.primaryColor,{h:-60}),20),this.git5=(0,p.Z)(this.pie6||l(this.primaryColor,{h:-90}),10),this.git6=(0,p.Z)(this.pie7||l(this.primaryColor,{h:60}),10),this.git7=(0,p.Z)(this.pie8||l(this.primaryColor,{h:120}),20),this.gitInv0=this.gitInv0||d(this.git0),this.gitInv1=this.gitInv1||d(this.git1),this.gitInv2=this.gitInv2||d(this.git2),this.gitInv3=this.gitInv3||d(this.git3),this.gitInv4=this.gitInv4||d(this.git4),this.gitInv5=this.gitInv5||d(this.git5),this.gitInv6=this.gitInv6||d(this.git6),this.gitInv7=this.gitInv7||d(this.git7),this.gitBranchLabel0=this.gitBranchLabel0||d(this.labelTextColor),this.gitBranchLabel1=this.gitBranchLabel1||this.labelTextColor,this.gitBranchLabel2=this.gitBranchLabel2||this.labelTextColor,this.gitBranchLabel3=this.gitBranchLabel3||d(this.labelTextColor),this.gitBranchLabel4=this.gitBranchLabel4||this.labelTextColor,this.gitBranchLabel5=this.gitBranchLabel5||this.labelTextColor,this.gitBranchLabel6=this.gitBranchLabel6||this.labelTextColor,this.gitBranchLabel7=this.gitBranchLabel7||this.labelTextColor,this.tagLabelColor=this.tagLabelColor||this.primaryTextColor,this.tagLabelBackground=this.tagLabelBackground||this.primaryColor,this.tagLabelBorder=this.tagBorder||this.primaryBorderColor,this.tagLabelFontSize=this.tagLabelFontSize||"10px",this.commitLabelColor=this.commitLabelColor||this.secondaryTextColor,this.commitLabelBackground=this.commitLabelBackground||this.secondaryColor,this.commitLabelFontSize=this.commitLabelFontSize||"10px",this.attributeBackgroundColorOdd=this.attributeBackgroundColorOdd||(0,p.Z)(this.background,12),this.attributeBackgroundColorEven=this.attributeBackgroundColorEven||(0,p.Z)(this.background,2)}calculate(t){if("object"!=typeof t)return void this.updateColors();const e=Object.keys(t);e.forEach((e=>{this[e]=t[e]})),this.updateColors(),e.forEach((e=>{this[e]=t[e]}))}};return e.calculate(t),e}},default:{getThemeVariables:_t},forest:{getThemeVariables:t=>{const e=new class{constructor(){this.background="#f4f4f4",this.primaryColor="#cde498",this.secondaryColor="#cdffb2",this.background="white",this.mainBkg="#cde498",this.secondBkg="#cdffb2",this.lineColor="green",this.border1="#13540c",this.border2="#6eaa49",this.arrowheadColor="green",this.fontFamily='"trebuchet ms", verdana, arial, sans-serif',this.fontSize="16px",this.tertiaryColor=(0,p.Z)("#cde498",10),this.primaryBorderColor=vt(this.primaryColor,this.darkMode),this.secondaryBorderColor=vt(this.secondaryColor,this.darkMode),this.tertiaryBorderColor=vt(this.tertiaryColor,this.darkMode),this.primaryTextColor=d(this.primaryColor),this.secondaryTextColor=d(this.secondaryColor),this.tertiaryTextColor=d(this.primaryColor),this.lineColor=d(this.background),this.textColor=d(this.background),this.THEME_COLOR_LIMIT=12,this.nodeBkg="calculated",this.nodeBorder="calculated",this.clusterBkg="calculated",this.clusterBorder="calculated",this.defaultLinkColor="calculated",this.titleColor="#333",this.edgeLabelBackground="#e8e8e8",this.actorBorder="calculated",this.actorBkg="calculated",this.actorTextColor="black",this.actorLineColor="grey",this.signalColor="#333",this.signalTextColor="#333",this.labelBoxBkgColor="calculated",this.labelBoxBorderColor="#326932",this.labelTextColor="calculated",this.loopTextColor="calculated",this.noteBorderColor="calculated",this.noteBkgColor="#fff5ad",this.noteTextColor="calculated",this.activationBorderColor="#666",this.activationBkgColor="#f4f4f4",this.sequenceNumberColor="white",this.sectionBkgColor="#6eaa49",this.altSectionBkgColor="white",this.sectionBkgColor2="#6eaa49",this.excludeBkgColor="#eeeeee",this.taskBorderColor="calculated",this.taskBkgColor="#487e3a",this.taskTextLightColor="white",this.taskTextColor="calculated",this.taskTextDarkColor="black",this.taskTextOutsideColor="calculated",this.taskTextClickableColor="#003163",this.activeTaskBorderColor="calculated",this.activeTaskBkgColor="calculated",this.gridColor="lightgrey",this.doneTaskBkgColor="lightgrey",this.doneTaskBorderColor="grey",this.critBorderColor="#ff8888",this.critBkgColor="red",this.todayLineColor="red",this.personBorder=this.primaryBorderColor,this.personBkg=this.mainBkg,this.labelColor="black",this.errorBkgColor="#552222",this.errorTextColor="#552222"}updateColors(){this.actorBorder=(0,g.Z)(this.mainBkg,20),this.actorBkg=this.mainBkg,this.labelBoxBkgColor=this.actorBkg,this.labelTextColor=this.actorTextColor,this.loopTextColor=this.actorTextColor,this.noteBorderColor=this.border2,this.noteTextColor=this.actorTextColor,this.cScale0=this.cScale0||this.primaryColor,this.cScale1=this.cScale1||this.secondaryColor,this.cScale2=this.cScale2||this.tertiaryColor,this.cScale3=this.cScale3||l(this.primaryColor,{h:30}),this.cScale4=this.cScale4||l(this.primaryColor,{h:60}),this.cScale5=this.cScale5||l(this.primaryColor,{h:90}),this.cScale6=this.cScale6||l(this.primaryColor,{h:120}),this.cScale7=this.cScale7||l(this.primaryColor,{h:150}),this.cScale8=this.cScale8||l(this.primaryColor,{h:210}),this.cScale9=this.cScale9||l(this.primaryColor,{h:270}),this.cScale10=this.cScale10||l(this.primaryColor,{h:300}),this.cScale11=this.cScale11||l(this.primaryColor,{h:330}),this.cScalePeer1=this.cScalePeer1||(0,g.Z)(this.secondaryColor,45),this.cScalePeer2=this.cScalePeer2||(0,g.Z)(this.tertiaryColor,40);for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScale"+t]=(0,g.Z)(this["cScale"+t],10),this["cScalePeer"+t]=this["cScalePeer"+t]||(0,g.Z)(this["cScale"+t],25);for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScaleInv"+t]=this["cScaleInv"+t]||l(this["cScale"+t],{h:180});this.scaleLabelColor="calculated"!==this.scaleLabelColor&&this.scaleLabelColor?this.scaleLabelColor:this.labelTextColor;for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScaleLabel"+t]=this["cScaleLabel"+t]||this.scaleLabelColor;for(let t=0;t<5;t++)this["surface"+t]=this["surface"+t]||l(this.mainBkg,{h:30,s:-30,l:-(5+5*t)}),this["surfacePeer"+t]=this["surfacePeer"+t]||l(this.mainBkg,{h:30,s:-30,l:-(8+5*t)});this.nodeBkg=this.mainBkg,this.nodeBorder=this.border1,this.clusterBkg=this.secondBkg,this.clusterBorder=this.border2,this.defaultLinkColor=this.lineColor,this.taskBorderColor=this.border1,this.taskTextColor=this.taskTextLightColor,this.taskTextOutsideColor=this.taskTextDarkColor,this.activeTaskBorderColor=this.taskBorderColor,this.activeTaskBkgColor=this.mainBkg,this.transitionColor=this.transitionColor||this.lineColor,this.transitionLabelColor=this.transitionLabelColor||this.textColor,this.stateLabelColor=this.stateLabelColor||this.stateBkg||this.primaryTextColor,this.stateBkg=this.stateBkg||this.mainBkg,this.labelBackgroundColor=this.labelBackgroundColor||this.stateBkg,this.compositeBackground=this.compositeBackground||this.background||this.tertiaryColor,this.altBackground=this.altBackground||"#f0f0f0",this.compositeTitleBackground=this.compositeTitleBackground||this.mainBkg,this.compositeBorder=this.compositeBorder||this.nodeBorder,this.innerEndBackground=this.primaryBorderColor,this.specialStateColor=this.lineColor,this.errorBkgColor=this.errorBkgColor||this.tertiaryColor,this.errorTextColor=this.errorTextColor||this.tertiaryTextColor,this.transitionColor=this.transitionColor||this.lineColor,this.classText=this.primaryTextColor,this.fillType0=this.primaryColor,this.fillType1=this.secondaryColor,this.fillType2=l(this.primaryColor,{h:64}),this.fillType3=l(this.secondaryColor,{h:64}),this.fillType4=l(this.primaryColor,{h:-64}),this.fillType5=l(this.secondaryColor,{h:-64}),this.fillType6=l(this.primaryColor,{h:128}),this.fillType7=l(this.secondaryColor,{h:128}),this.pie1=this.pie1||this.primaryColor,this.pie2=this.pie2||this.secondaryColor,this.pie3=this.pie3||this.tertiaryColor,this.pie4=this.pie4||l(this.primaryColor,{l:-30}),this.pie5=this.pie5||l(this.secondaryColor,{l:-30}),this.pie6=this.pie6||l(this.tertiaryColor,{h:40,l:-40}),this.pie7=this.pie7||l(this.primaryColor,{h:60,l:-10}),this.pie8=this.pie8||l(this.primaryColor,{h:-60,l:-10}),this.pie9=this.pie9||l(this.primaryColor,{h:120,l:0}),this.pie10=this.pie10||l(this.primaryColor,{h:60,l:-50}),this.pie11=this.pie11||l(this.primaryColor,{h:-60,l:-50}),this.pie12=this.pie12||l(this.primaryColor,{h:120,l:-50}),this.pieTitleTextSize=this.pieTitleTextSize||"25px",this.pieTitleTextColor=this.pieTitleTextColor||this.taskTextDarkColor,this.pieSectionTextSize=this.pieSectionTextSize||"17px",this.pieSectionTextColor=this.pieSectionTextColor||this.textColor,this.pieLegendTextSize=this.pieLegendTextSize||"17px",this.pieLegendTextColor=this.pieLegendTextColor||this.taskTextDarkColor,this.pieStrokeColor=this.pieStrokeColor||"black",this.pieStrokeWidth=this.pieStrokeWidth||"2px",this.pieOuterStrokeWidth=this.pieOuterStrokeWidth||"2px",this.pieOuterStrokeColor=this.pieOuterStrokeColor||"black",this.pieOpacity=this.pieOpacity||"0.7",this.quadrant1Fill=this.quadrant1Fill||this.primaryColor,this.quadrant2Fill=this.quadrant2Fill||l(this.primaryColor,{r:5,g:5,b:5}),this.quadrant3Fill=this.quadrant3Fill||l(this.primaryColor,{r:10,g:10,b:10}),this.quadrant4Fill=this.quadrant4Fill||l(this.primaryColor,{r:15,g:15,b:15}),this.quadrant1TextFill=this.quadrant1TextFill||this.primaryTextColor,this.quadrant2TextFill=this.quadrant2TextFill||l(this.primaryTextColor,{r:-5,g:-5,b:-5}),this.quadrant3TextFill=this.quadrant3TextFill||l(this.primaryTextColor,{r:-10,g:-10,b:-10}),this.quadrant4TextFill=this.quadrant4TextFill||l(this.primaryTextColor,{r:-15,g:-15,b:-15}),this.quadrantPointFill=this.quadrantPointFill||(0,b.Z)(this.quadrant1Fill)?(0,p.Z)(this.quadrant1Fill):(0,g.Z)(this.quadrant1Fill),this.quadrantPointTextFill=this.quadrantPointTextFill||this.primaryTextColor,this.quadrantXAxisTextFill=this.quadrantXAxisTextFill||this.primaryTextColor,this.quadrantYAxisTextFill=this.quadrantYAxisTextFill||this.primaryTextColor,this.quadrantInternalBorderStrokeFill=this.quadrantInternalBorderStrokeFill||this.primaryBorderColor,this.quadrantExternalBorderStrokeFill=this.quadrantExternalBorderStrokeFill||this.primaryBorderColor,this.quadrantTitleFill=this.quadrantTitleFill||this.primaryTextColor,this.requirementBackground=this.requirementBackground||this.primaryColor,this.requirementBorderColor=this.requirementBorderColor||this.primaryBorderColor,this.requirementBorderSize=this.requirementBorderSize||"1",this.requirementTextColor=this.requirementTextColor||this.primaryTextColor,this.relationColor=this.relationColor||this.lineColor,this.relationLabelBackground=this.relationLabelBackground||this.edgeLabelBackground,this.relationLabelColor=this.relationLabelColor||this.actorTextColor,this.git0=this.git0||this.primaryColor,this.git1=this.git1||this.secondaryColor,this.git2=this.git2||this.tertiaryColor,this.git3=this.git3||l(this.primaryColor,{h:-30}),this.git4=this.git4||l(this.primaryColor,{h:-60}),this.git5=this.git5||l(this.primaryColor,{h:-90}),this.git6=this.git6||l(this.primaryColor,{h:60}),this.git7=this.git7||l(this.primaryColor,{h:120}),this.darkMode?(this.git0=(0,p.Z)(this.git0,25),this.git1=(0,p.Z)(this.git1,25),this.git2=(0,p.Z)(this.git2,25),this.git3=(0,p.Z)(this.git3,25),this.git4=(0,p.Z)(this.git4,25),this.git5=(0,p.Z)(this.git5,25),this.git6=(0,p.Z)(this.git6,25),this.git7=(0,p.Z)(this.git7,25)):(this.git0=(0,g.Z)(this.git0,25),this.git1=(0,g.Z)(this.git1,25),this.git2=(0,g.Z)(this.git2,25),this.git3=(0,g.Z)(this.git3,25),this.git4=(0,g.Z)(this.git4,25),this.git5=(0,g.Z)(this.git5,25),this.git6=(0,g.Z)(this.git6,25),this.git7=(0,g.Z)(this.git7,25)),this.gitInv0=this.gitInv0||d(this.git0),this.gitInv1=this.gitInv1||d(this.git1),this.gitInv2=this.gitInv2||d(this.git2),this.gitInv3=this.gitInv3||d(this.git3),this.gitInv4=this.gitInv4||d(this.git4),this.gitInv5=this.gitInv5||d(this.git5),this.gitInv6=this.gitInv6||d(this.git6),this.gitInv7=this.gitInv7||d(this.git7),this.gitBranchLabel0=this.gitBranchLabel0||d(this.labelTextColor),this.gitBranchLabel1=this.gitBranchLabel1||this.labelTextColor,this.gitBranchLabel2=this.gitBranchLabel2||this.labelTextColor,this.gitBranchLabel3=this.gitBranchLabel3||d(this.labelTextColor),this.gitBranchLabel4=this.gitBranchLabel4||this.labelTextColor,this.gitBranchLabel5=this.gitBranchLabel5||this.labelTextColor,this.gitBranchLabel6=this.gitBranchLabel6||this.labelTextColor,this.gitBranchLabel7=this.gitBranchLabel7||this.labelTextColor,this.tagLabelColor=this.tagLabelColor||this.primaryTextColor,this.tagLabelBackground=this.tagLabelBackground||this.primaryColor,this.tagLabelBorder=this.tagBorder||this.primaryBorderColor,this.tagLabelFontSize=this.tagLabelFontSize||"10px",this.commitLabelColor=this.commitLabelColor||this.secondaryTextColor,this.commitLabelBackground=this.commitLabelBackground||this.secondaryColor,this.commitLabelFontSize=this.commitLabelFontSize||"10px",this.attributeBackgroundColorOdd=this.attributeBackgroundColorOdd||xt,this.attributeBackgroundColorEven=this.attributeBackgroundColorEven||kt}calculate(t){if("object"!=typeof t)return void this.updateColors();const e=Object.keys(t);e.forEach((e=>{this[e]=t[e]})),this.updateColors(),e.forEach((e=>{this[e]=t[e]}))}};return e.calculate(t),e}},neutral:{getThemeVariables:t=>{const e=new Et;return e.calculate(t),e}}},Ct={flowchart:{useMaxWidth:!0,titleTopMargin:25,diagramPadding:8,htmlLabels:!0,nodeSpacing:50,rankSpacing:50,curve:"basis",padding:15,defaultRenderer:"dagre-wrapper",wrappingWidth:200},sequence:{useMaxWidth:!0,hideUnusedParticipants:!1,activationWidth:10,diagramMarginX:50,diagramMarginY:10,actorMargin:50,width:150,height:65,boxMargin:10,boxTextMargin:5,noteMargin:10,messageMargin:35,messageAlign:"center",mirrorActors:!0,forceMenus:!1,bottomMarginAdj:1,rightAngles:!1,showSequenceNumbers:!1,actorFontSize:14,actorFontFamily:'"Open Sans", sans-serif',actorFontWeight:400,noteFontSize:14,noteFontFamily:'"trebuchet ms", verdana, arial, sans-serif',noteFontWeight:400,noteAlign:"center",messageFontSize:16,messageFontFamily:'"trebuchet ms", verdana, arial, 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s=a.length-1;switch(r){case 4:i.setShowData(!0);break;case 7:this.$=a[s-1];break;case 9:i.addSection(a[s-1],i.cleanupValue(a[s]));break;case 10:this.$=a[s].trim(),i.setDiagramTitle(this.$);break;case 11:this.$=a[s].trim(),i.setAccTitle(this.$);break;case 12:case 13:this.$=a[s].trim(),i.setAccDescription(this.$);break;case 14:i.addSection(a[s].substr(8)),this.$=a[s].substr(8);break;case 21:i.parseDirective("%%{","open_directive");break;case 22:i.parseDirective(a[s],"type_directive");break;case 23:a[s]=a[s].trim().replace(/'/g,'"'),i.parseDirective(a[s],"arg_directive");break;case 24:i.parseDirective("}%%","close_directive","pie")}},table:[{3:1,4:2,5:3,6:e,21:8,26:n,27:i,28:r,29:a},{1:[3]},{3:10,4:2,5:3,6:e,21:8,26:n,27:i,28:r,29:a},{3:11,4:2,5:3,6:e,21:8,26:n,27:i,28:r,29:a},t(o,s,{7:12,8:[1,13]}),t(c,[2,18]),t(c,[2,19]),t(c,[2,20]),{22:14,30:[1,15]},{30:[2,21]},{1:[2,1]},{1:[2,2]},t(u,l,{21:8,9:16,10:17,5:24,1:[2,3],11:h,13:f,15:d,17:g,19:p,20:b,29:a}),t(o,s,{7:25}),{23:26,24:[1,27],32:w},t([24,32],[2,22]),t(o,[2,6]),{4:29,26:n,27:i,28:r},{12:[1,30]},{14:[1,31]},{16:[1,32]},{18:[1,33]},t(u,[2,13]),t(u,[2,14]),t(u,[2,15]),t(u,l,{21:8,9:16,10:17,5:24,1:[2,4],11:h,13:f,15:d,17:g,19:p,20:b,29:a}),t(y,[2,16]),{25:34,31:[1,35]},t(y,[2,24]),t(o,[2,7]),t(u,[2,9]),t(u,[2,10]),t(u,[2,11]),t(u,[2,12]),{23:36,32:w},{32:[2,23]},t(y,[2,17])],defaultActions:{9:[2,21],10:[2,1],11:[2,2],35:[2,23]},parseError:function(t,e){if(!e.recoverable){var n=new Error(t);throw n.hash=e,n}this.trace(t)},parse:function(t){var e=this,n=[0],i=[],r=[null],a=[],o=this.table,s="",c=0,u=0,l=2,h=1,f=a.slice.call(arguments,1),d=Object.create(this.lexer),g={yy:{}};for(var p in this.yy)Object.prototype.hasOwnProperty.call(this.yy,p)&&(g.yy[p]=this.yy[p]);d.setInput(t,g.yy),g.yy.lexer=d,g.yy.parser=this,void 0===d.yylloc&&(d.yylloc={});var b=d.yylloc;a.push(b);var w=d.options&&d.options.ranges;function y(){var t;return"number"!=typeof(t=i.pop()||d.lex()||h)&&(t instanceof Array&&(t=(i=t).pop()),t=e.symbols_[t]||t),t}"function"==typeof g.yy.parseError?this.parseError=g.yy.parseError:this.parseError=Object.getPrototypeOf(this).parseError;for(var m,v,x,k,_,E,T,C,S={};;){if(v=n[n.length-1],this.defaultActions[v]?x=this.defaultActions[v]:(null==m&&(m=y()),x=o[v]&&o[v][m]),void 0===x||!x.length||!x[0]){var A="";for(_ in C=[],o[v])this.terminals_[_]&&_>l&&C.push("'"+this.terminals_[_]+"'");A=d.showPosition?"Parse error on line "+(c+1)+":\n"+d.showPosition()+"\nExpecting "+C.join(", ")+", got 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e=t.length,n=t.split(/(?:\r\n?|\n)/g);this._input=t+this._input,this.yytext=this.yytext.substr(0,this.yytext.length-e),this.offset-=e;var i=this.match.split(/(?:\r\n?|\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),n.length-1&&(this.yylineno-=n.length-1);var r=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:n?(n.length===i.length?this.yylloc.first_column:0)+i[i.length-n.length].length-n[0].length:this.yylloc.first_column-e},this.options.ranges&&(this.yylloc.range=[r[0],r[0]+this.yyleng-e]),this.yyleng=this.yytext.length,this},more:function(){return this._more=!0,this},reject:function(){return this.options.backtrack_lexer?(this._backtrack=!0,this):this.parseError("Lexical error on line "+(this.yylineno+1)+". 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4:return 31;case 5:case 6:case 8:case 9:break;case 7:return 26;case 10:return this.begin("title"),13;case 11:return this.popState(),"title_value";case 12:return this.begin("acc_title"),15;case 13:return this.popState(),"acc_title_value";case 14:return this.begin("acc_descr"),17;case 15:return this.popState(),"acc_descr_value";case 16:this.begin("acc_descr_multiline");break;case 17:case 20:this.popState();break;case 18:return"acc_descr_multiline_value";case 19:this.begin("string");break;case 21:return"txt";case 22:return 6;case 23:return 8;case 24:return"value";case 25:return 28}},rules:[/^(?:%%\{)/i,/^(?:((?:(?!\}%%)[^:.])*))/i,/^(?::)/i,/^(?:\}%%)/i,/^(?:((?:(?!\}%%).|\n)*))/i,/^(?:%%(?!\{)[^\n]*)/i,/^(?:[^\}]%%[^\n]*)/i,/^(?:[\n\r]+)/i,/^(?:%%[^\n]*)/i,/^(?:[\s]+)/i,/^(?:title\b)/i,/^(?:(?!\n||)*[^\n]*)/i,/^(?:accTitle\s*:\s*)/i,/^(?:(?!\n||)*[^\n]*)/i,/^(?:accDescr\s*:\s*)/i,/^(?:(?!\n||)*[^\n]*)/i,/^(?:accDescr\s*\{\s*)/i,/^(?:[\}])/i,/^(?:[^\}]*)/i,/^(?:["])/i,/^(?:["])/i,/^(?:[^"]*)/i,/^(?:pie\b)/i,/^(?:showData\b)/i,/^(?::[\s]*[\d]+(?:\.[\d]+)?)/i,/^(?:$)/i],conditions:{acc_descr_multiline:{rules:[17,18],inclusive:!1},acc_descr:{rules:[15],inclusive:!1},acc_title:{rules:[13],inclusive:!1},close_directive:{rules:[],inclusive:!1},arg_directive:{rules:[3,4],inclusive:!1},type_directive:{rules:[2,3],inclusive:!1},open_directive:{rules:[1],inclusive:!1},title:{rules:[11],inclusive:!1},string:{rules:[20,21],inclusive:!1},INITIAL:{rules:[0,5,6,7,8,9,10,12,14,16,19,22,23,24,25],inclusive:!0}}};function x(){this.yy={}}return 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g=18,p=d.append("g");p.attr("transform","translate("+f/2+",225)");const{themeVariables:b}=u;let[w]=(0,i.F)(b.pieOuterStrokeWidth);w??(w=2);const y=l.textPosition,m=Math.min(f,h)/2-40,v=(0,r.Nb1)().innerRadius(0).outerRadius(m),x=(0,r.Nb1)().innerRadius(m*y).outerRadius(m*y);p.append("circle").attr("cx",0).attr("cy",0).attr("r",m+w/2).attr("class","pieOuterCircle");const k=c.getSections(),_=(t=>{const e=Object.entries(t).map((t=>({label:t[0],value:t[1]})));return(0,r.ve8)().value((t=>t.value))(e)})(k),E=[b.pie1,b.pie2,b.pie3,b.pie4,b.pie5,b.pie6,b.pie7,b.pie8,b.pie9,b.pie10,b.pie11,b.pie12],T=(0,r.PKp)(E);p.selectAll("mySlices").data(_).enter().append("path").attr("d",v).attr("fill",(t=>T(t.data.label))).attr("class","pieCircle");let 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}\n  .pieTitleText {\n    text-anchor: middle;\n    font-size: ${t.pieTitleTextSize};\n    fill: ${t.pieTitleTextColor};\n    font-family: ${t.fontFamily};\n  }\n  .slice {\n    font-family: ${t.fontFamily};\n    fill: ${t.pieSectionTextColor};\n    font-size:${t.pieSectionTextSize};\n    // fill: white;\n  }\n  .legend text {\n    fill: ${t.pieLegendTextColor};\n    font-family: ${t.fontFamily};\n    font-size: ${t.pieLegendTextSize};\n  }\n`}},7118:(t,e,n)=>{"use strict";n.r(e),n.d(e,{diagram:()=>h});var i=n(9339),r=n(7274),a=(n(7484),n(7967),n(7856),function(){var t=function(t,e,n,i){for(n=n||{},i=t.length;i--;n[t[i]]=e);return 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43:return 57;case 44:return 59;case 45:return 60;case 46:return 58;case 47:return 51;case 48:return 61;case 49:return 52;case 50:return 5;case 51:return 39;case 52:return 50;case 53:return 40}},rules:[/^(?:%%\{)/i,/^(?:((?:(?!\}%%)[^:.])*))/i,/^(?::)/i,/^(?:\}%%)/i,/^(?:((?:(?!\}%%).|\n)*))/i,/^(?:%%(?!\{)[^\n]*)/i,/^(?:[^\}]%%[^\n]*)/i,/^(?:[\n\r]+)/i,/^(?:%%[^\n]*)/i,/^(?:title\b)/i,/^(?:(?!\n||)*[^\n]*)/i,/^(?:accTitle\s*:\s*)/i,/^(?:(?!\n||)*[^\n]*)/i,/^(?:accDescr\s*:\s*)/i,/^(?:(?!\n||)*[^\n]*)/i,/^(?:accDescr\s*\{\s*)/i,/^(?:[\}])/i,/^(?:[^\}]*)/i,/^(?: *x-axis *)/i,/^(?: *y-axis *)/i,/^(?: *--+> *)/i,/^(?: *quadrant-1 *)/i,/^(?: *quadrant-2 *)/i,/^(?: *quadrant-3 *)/i,/^(?: *quadrant-4 *)/i,/^(?:["][`])/i,/^(?:[^`"]+)/i,/^(?:[`]["])/i,/^(?:["])/i,/^(?:["])/i,/^(?:[^"]*)/i,/^(?:\s*:\s*\[\s*)/i,/^(?:(1)|(0(.\d+)?))/i,/^(?:\s*\] *)/i,/^(?:\s*,\s*)/i,/^(?:(1)|(0(.\d+)?))/i,/^(?: *quadrantChart 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u(t){return(0,i.d)(t.trim(),c)}const l=new class{constructor(){this.config=this.getDefaultConfig(),this.themeConfig=this.getDefaultThemeConfig(),this.data=this.getDefaultData()}getDefaultData(){return{titleText:"",quadrant1Text:"",quadrant2Text:"",quadrant3Text:"",quadrant4Text:"",xAxisLeftText:"",xAxisRightText:"",yAxisBottomText:"",yAxisTopText:"",points:[]}}getDefaultConfig(){var t,e,n,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y;return{showXAxis:!0,showYAxis:!0,showTitle:!0,chartHeight:(null==(t=i.C.quadrantChart)?void 0:t.chartWidth)||500,chartWidth:(null==(e=i.C.quadrantChart)?void 0:e.chartHeight)||500,titlePadding:(null==(n=i.C.quadrantChart)?void 0:n.titlePadding)||10,titleFontSize:(null==(r=i.C.quadrantChart)?void 0:r.titleFontSize)||20,quadrantPadding:(null==(a=i.C.quadrantChart)?void 0:a.quadrantPadding)||5,xAxisLabelPadding:(null==(o=i.C.quadrantChart)?void 0:o.xAxisLabelPadding)||5,yAxisLabelPadding:(null==(s=i.C.quadrantChart)?void 0:s.yAxisLabelPadding)||5,xAxisLabelFontSize:(null==(c=i.C.quadrantChart)?void 0:c.xAxisLabelFontSize)||16,yAxisLabelFontSize:(null==(u=i.C.quadrantChart)?void 0:u.yAxisLabelFontSize)||16,quadrantLabelFontSize:(null==(l=i.C.quadrantChart)?void 0:l.quadrantLabelFontSize)||16,quadrantTextTopPadding:(null==(h=i.C.quadrantChart)?void 0:h.quadrantTextTopPadding)||5,pointTextPadding:(null==(f=i.C.quadrantChart)?void 0:f.pointTextPadding)||5,pointLabelFontSize:(null==(d=i.C.quadrantChart)?void 0:d.pointLabelFontSize)||12,pointRadius:(null==(g=i.C.quadrantChart)?void 0:g.pointRadius)||5,xAxisPosition:(null==(p=i.C.quadrantChart)?void 0:p.xAxisPosition)||"top",yAxisPosition:(null==(b=i.C.quadrantChart)?void 0:b.yAxisPosition)||"left",quadrantInternalBorderStrokeWidth:(null==(w=i.C.quadrantChart)?void 0:w.quadrantInternalBorderStrokeWidth)||1,quadrantExternalBorderStrokeWidth:(null==(y=i.C.quadrantChart)?void 0:y.quadrantExternalBorderStrokeWidth)||2}}getDefaultThemeConfig(){return{quadrant1Fill:s.quadrant1Fill,quadrant2Fill:s.quadrant2Fill,quadrant3Fill:s.quadrant3Fill,quadrant4Fill:s.quadrant4Fill,quadrant1TextFill:s.quadrant1TextFill,quadrant2TextFill:s.quadrant2TextFill,quadrant3TextFill:s.quadrant3TextFill,quadrant4TextFill:s.quadrant4TextFill,quadrantPointFill:s.quadrantPointFill,quadrantPointTextFill:s.quadrantPointTextFill,quadrantXAxisTextFill:s.quadrantXAxisTextFill,quadrantYAxisTextFill:s.quadrantYAxisTextFill,quadrantTitleFill:s.quadrantTitleFill,quadrantInternalBorderStrokeFill:s.quadrantInternalBorderStrokeFill,quadrantExternalBorderStrokeFill:s.quadrantExternalBorderStrokeFill}}clear(){this.config=this.getDefaultConfig(),this.themeConfig=this.getDefaultThemeConfig(),this.data=this.getDefaultData(),i.l.info("clear called")}setData(t){this.data={...this.data,...t}}addPoints(t){this.data.points=[...t,...this.data.points]}setConfig(t){i.l.trace("setConfig called with: ",t),this.config={...this.config,...t}}setThemeConfig(t){i.l.trace("setThemeConfig called with: ",t),this.themeConfig={...this.themeConfig,...t}}calculateSpace(t,e,n,i){const r=2*this.config.xAxisLabelPadding+this.config.xAxisLabelFontSize,a={top:"top"===t&&e?r:0,bottom:"bottom"===t&&e?r:0},o=2*this.config.yAxisLabelPadding+this.config.yAxisLabelFontSize,s={left:"left"===this.config.yAxisPosition&&n?o:0,right:"right"===this.config.yAxisPosition&&n?o:0},c=this.config.titleFontSize+2*this.config.titlePadding,u={top:i?c:0},l=this.config.quadrantPadding+s.left,h=this.config.quadrantPadding+a.top+u.top,f=this.config.chartWidth-2*this.config.quadrantPadding-s.left-s.right,d=this.config.chartHeight-2*this.config.quadrantPadding-a.top-a.bottom-u.top;return{xAxisSpace:a,yAxisSpace:s,titleSpace:u,quadrantSpace:{quadrantLeft:l,quadrantTop:h,quadrantWidth:f,quadrantHalfWidth:f/2,quadrantHeight:d,quadrantHalfHeight:d/2}}}getAxisLabels(t,e,n,i){const{quadrantSpace:r,titleSpace:a}=i,{quadrantHalfHeight:o,quadrantHeight:s,quadrantLeft:c,quadrantHalfWidth:u,quadrantTop:l,quadrantWidth:h}=r,f=0===this.data.points.length,d=[];return this.data.xAxisLeftText&&e&&d.push({text:this.data.xAxisLeftText,fill:this.themeConfig.quadrantXAxisTextFill,x:c+(f?u/2:0),y:"top"===t?this.config.xAxisLabelPadding+a.top:this.config.xAxisLabelPadding+l+s+this.config.quadrantPadding,fontSize:this.config.xAxisLabelFontSize,verticalPos:f?"center":"left",horizontalPos:"top",rotation:0}),this.data.xAxisRightText&&e&&d.push({text:this.data.xAxisRightText,fill:this.themeConfig.quadrantXAxisTextFill,x:c+u+(f?u/2:0),y:"top"===t?this.config.xAxisLabelPadding+a.top:this.config.xAxisLabelPadding+l+s+this.config.quadrantPadding,fontSize:this.config.xAxisLabelFontSize,verticalPos:f?"center":"left",horizontalPos:"top",rotation:0}),this.data.yAxisBottomText&&n&&d.push({text:this.data.yAxisBottomText,fill:this.themeConfig.quadrantYAxisTextFill,x:"left"===this.config.yAxisPosition?this.config.yAxisLabelPadding:this.config.yAxisLabelPadding+c+h+this.config.quadrantPadding,y:l+s-(f?o/2:0),fontSize:this.config.yAxisLabelFontSize,verticalPos:f?"center":"left",horizontalPos:"top",rotation:-90}),this.data.yAxisTopText&&n&&d.push({text:this.data.yAxisTopText,fill:this.themeConfig.quadrantYAxisTextFill,x:"left"===this.config.yAxisPosition?this.config.yAxisLabelPadding:this.config.yAxisLabelPadding+c+h+this.config.quadrantPadding,y:l+o-(f?o/2:0),fontSize:this.config.yAxisLabelFontSize,verticalPos:f?"center":"left",horizontalPos:"top",rotation:-90}),d}getQuadrants(t){const{quadrantSpace:e}=t,{quadrantHalfHeight:n,quadrantLeft:i,quadrantHalfWidth:r,quadrantTop:a}=e,o=[{text:{text:this.data.quadrant1Text,fill:this.themeConfig.quadrant1TextFill,x:0,y:0,fontSize:this.config.quadrantLabelFontSize,verticalPos:"center",horizontalPos:"middle",rotation:0},x:i+r,y:a,width:r,height:n,fill:this.themeConfig.quadrant1Fill},{text:{text:this.data.quadrant2Text,fill:this.themeConfig.quadrant2TextFill,x:0,y:0,fontSize:this.config.quadrantLabelFontSize,verticalPos:"center",horizontalPos:"middle",rotation:0},x:i,y:a,width:r,height:n,fill:this.themeConfig.quadrant2Fill},{text:{text:this.data.quadrant3Text,fill:this.themeConfig.quadrant3TextFill,x:0,y:0,fontSize:this.config.quadrantLabelFontSize,verticalPos:"center",horizontalPos:"middle",rotation:0},x:i,y:a+n,width:r,height:n,fill:this.themeConfig.quadrant3Fill},{text:{text:this.data.quadrant4Text,fill:this.themeConfig.quadrant4TextFill,x:0,y:0,fontSize:this.config.quadrantLabelFontSize,verticalPos:"center",horizontalPos:"middle",rotation:0},x:i+r,y:a+n,width:r,height:n,fill:this.themeConfig.quadrant4Fill}];for(const t of o)t.text.x=t.x+t.width/2,0===this.data.points.length?(t.text.y=t.y+t.height/2,t.text.horizontalPos="middle"):(t.text.y=t.y+this.config.quadrantTextTopPadding,t.text.horizontalPos="top");return o}getQuadrantPoints(t){const{quadrantSpace:e}=t,{quadrantHeight:n,quadrantLeft:i,quadrantTop:a,quadrantWidth:o}=e,s=(0,r.BYU)().domain([0,1]).range([i,o+i]),c=(0,r.BYU)().domain([0,1]).range([n+a,a]);return this.data.points.map((t=>({x:s(t.x),y:c(t.y),fill:this.themeConfig.quadrantPointFill,radius:this.config.pointRadius,text:{text:t.text,fill:this.themeConfig.quadrantPointTextFill,x:s(t.x),y:c(t.y)+this.config.pointTextPadding,verticalPos:"center",horizontalPos:"top",fontSize:this.config.pointLabelFontSize,rotation:0}})))}getBorders(t){const e=this.config.quadrantExternalBorderStrokeWidth/2,{quadrantSpace:n}=t,{quadrantHalfHeight:i,quadrantHeight:r,quadrantLeft:a,quadrantHalfWidth:o,quadrantTop:s,quadrantWidth:c}=n;return[{strokeFill:this.themeConfig.quadrantExternalBorderStrokeFill,strokeWidth:this.config.quadrantExternalBorderStrokeWidth,x1:a-e,y1:s,x2:a+c+e,y2:s},{strokeFill:this.themeConfig.quadrantExternalBorderStrokeFill,strokeWidth:this.config.quadrantExternalBorderStrokeWidth,x1:a+c,y1:s+e,x2:a+c,y2:s+r-e},{strokeFill:this.themeConfig.quadrantExternalBorderStrokeFill,strokeWidth:this.config.quadrantExternalBorderStrokeWidth,x1:a-e,y1:s+r,x2:a+c+e,y2:s+r},{strokeFill:this.themeConfig.quadrantExternalBorderStrokeFill,strokeWidth:this.config.quadrantExternalBorderStrokeWidth,x1:a,y1:s+e,x2:a,y2:s+r-e},{strokeFill:this.themeConfig.quadrantInternalBorderStrokeFill,strokeWidth:this.config.quadrantInternalBorderStrokeWidth,x1:a+o,y1:s+e,x2:a+o,y2:s+r-e},{strokeFill:this.themeConfig.quadrantInternalBorderStrokeFill,strokeWidth:this.config.quadrantInternalBorderStrokeWidth,x1:a+e,y1:s+i,x2:a+c-e,y2:s+i}]}getTitle(t){if(t)return{text:this.data.titleText,fill:this.themeConfig.quadrantTitleFill,fontSize:this.config.titleFontSize,horizontalPos:"top",verticalPos:"center",rotation:0,y:this.config.titlePadding,x:this.config.chartWidth/2}}build(){const t=this.config.showXAxis&&!(!this.data.xAxisLeftText&&!this.data.xAxisRightText),e=this.config.showYAxis&&!(!this.data.yAxisTopText&&!this.data.yAxisBottomText),n=this.config.showTitle&&!!this.data.titleText,i=this.data.points.length>0?"bottom":this.config.xAxisPosition,r=this.calculateSpace(i,t,e,n);return{points:this.getQuadrantPoints(r),quadrants:this.getQuadrants(r),axisLabels:this.getAxisLabels(i,t,e,r),borderLines:this.getBorders(r),title:this.getTitle(n)}}};const h={parser:o,db:{setWidth:function(t){l.setConfig({chartWidth:t})},setHeight:function(t){l.setConfig({chartHeight:t})},setQuadrant1Text:function(t){l.setData({quadrant1Text:u(t.text)})},setQuadrant2Text:function(t){l.setData({quadrant2Text:u(t.text)})},setQuadrant3Text:function(t){l.setData({quadrant3Text:u(t.text)})},setQuadrant4Text:function(t){l.setData({quadrant4Text:u(t.text)})},setXAxisLeftText:function(t){l.setData({xAxisLeftText:u(t.text)})},setXAxisRightText:function(t){l.setData({xAxisRightText:u(t.text)})},setYAxisTopText:function(t){l.setData({yAxisTopText:u(t.text)})},setYAxisBottomText:function(t){l.setData({yAxisBottomText:u(t.text)})},addPoint:function(t,e,n){l.addPoints([{x:e,y:n,text:u(t.text)}])},getQuadrantData:function(){const t=(0,i.c)(),{themeVariables:e,quadrantChart:n}=t;return n&&l.setConfig(n),l.setThemeConfig({quadrant1Fill:e.quadrant1Fill,quadrant2Fill:e.quadrant2Fill,quadrant3Fill:e.quadrant3Fill,quadrant4Fill:e.quadrant4Fill,quadrant1TextFill:e.quadrant1TextFill,quadrant2TextFill:e.quadrant2TextFill,quadrant3TextFill:e.quadrant3TextFill,quadrant4TextFill:e.quadrant4TextFill,quadrantPointFill:e.quadrantPointFill,quadrantPointTextFill:e.quadrantPointTextFill,quadrantXAxisTextFill:e.quadrantXAxisTextFill,quadrantYAxisTextFill:e.quadrantYAxisTextFill,quadrantExternalBorderStrokeFill:e.quadrantExternalBorderStrokeFill,quadrantInternalBorderStrokeFill:e.quadrantInternalBorderStrokeFill,quadrantTitleFill:e.quadrantTitleFill}),l.setData({titleText:(0,i.t)()}),l.build()},parseDirective:function(t,e,n){i.m.parseDirective(this,t,e,n)},clear:function(){l.clear(),(0,i.v)()},setAccTitle:i.s,getAccTitle:i.g,setDiagramTitle:i.r,getDiagramTitle:i.t,getAccDescription:i.a,setAccDescription:i.b},renderer:{draw:(t,e,n,a)=>{var o,s,c;function u(t){return"top"===t?"hanging":"middle"}function l(t){return"left"===t?"start":"middle"}function h(t){return`translate(${t.x}, ${t.y}) rotate(${t.rotation||0})`}const f=(0,i.c)();i.l.debug("Rendering quadrant chart\n"+t);const d=f.securityLevel;let g;"sandbox"===d&&(g=(0,r.Ys)("#i"+e));const p=("sandbox"===d?(0,r.Ys)(g.nodes()[0].contentDocument.body):(0,r.Ys)("body")).select(`[id="${e}"]`),b=p.append("g").attr("class","main"),w=(null==(o=f.quadrantChart)?void 0:o.chartWidth)||500,y=(null==(s=f.quadrantChart)?void 0:s.chartHeight)||500;(0,i.i)(p,y,w,(null==(c=f.quadrantChart)?void 0:c.useMaxWidth)||!0),p.attr("viewBox","0 0 "+w+" "+y),a.db.setHeight(y),a.db.setWidth(w);const m=a.db.getQuadrantData(),v=b.append("g").attr("class","quadrants"),x=b.append("g").attr("class","border"),k=b.append("g").attr("class","data-points"),_=b.append("g").attr("class","labels"),E=b.append("g").attr("class","title");m.title&&E.append("text").attr("x",0).attr("y",0).attr("fill",m.title.fill).attr("font-size",m.title.fontSize).attr("dominant-baseline",u(m.title.horizontalPos)).attr("text-anchor",l(m.title.verticalPos)).attr("transform",h(m.title)).text(m.title.text),m.borderLines&&x.selectAll("line").data(m.borderLines).enter().append("line").attr("x1",(t=>t.x1)).attr("y1",(t=>t.y1)).attr("x2",(t=>t.x2)).attr("y2",(t=>t.y2)).style("stroke",(t=>t.strokeFill)).style("stroke-width",(t=>t.strokeWidth));const T=v.selectAll("g.quadrant").data(m.quadrants).enter().append("g").attr("class","quadrant");T.append("rect").attr("x",(t=>t.x)).attr("y",(t=>t.y)).attr("width",(t=>t.width)).attr("height",(t=>t.height)).attr("fill",(t=>t.fill)),T.append("text").attr("x",0).attr("y",0).attr("fill",(t=>t.text.fill)).attr("font-size",(t=>t.text.fontSize)).attr("dominant-baseline",(t=>u(t.text.horizontalPos))).attr("text-anchor",(t=>l(t.text.verticalPos))).attr("transform",(t=>h(t.text))).text((t=>t.text.text));_.selectAll("g.label").data(m.axisLabels).enter().append("g").attr("class","label").append("text").attr("x",0).attr("y",0).text((t=>t.text)).attr("fill",(t=>t.fill)).attr("font-size",(t=>t.fontSize)).attr("dominant-baseline",(t=>u(t.horizontalPos))).attr("text-anchor",(t=>l(t.verticalPos))).attr("transform",(t=>h(t)));const C=k.selectAll("g.data-point").data(m.points).enter().append("g").attr("class","data-point");C.append("circle").attr("cx",(t=>t.x)).attr("cy",(t=>t.y)).attr("r",(t=>t.radius)).attr("fill",(t=>t.fill)),C.append("text").attr("x",0).attr("y",0).text((t=>t.text.text)).attr("fill",(t=>t.text.fill)).attr("font-size",(t=>t.text.fontSize)).attr("dominant-baseline",(t=>u(t.text.horizontalPos))).attr("text-anchor",(t=>l(t.text.verticalPos))).attr("transform",(t=>h(t.text)))}},styles:()=>""}},4019:(t,e,n)=>{"use strict";n.r(e),n.d(e,{diagram:()=>T});var i=n(9339),r=n(7274),a=n(3771),o=n(5625),s=(n(7484),n(7967),n(7856),function(){var t=function(t,e,n,i){for(n=n||{},i=t.length;i--;n[t[i]]=e);return 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58:a[s-2]=[].concat(a[s-1],a[s-1]).slice(0,2),a[s-2][0]=a[s-2][0].actor,a[s-2][1]=a[s-2][1].actor,this.$=[a[s-1],{type:"addNote",placement:i.PLACEMENT.OVER,actor:a[s-2].slice(0,2),text:a[s]}];break;case 59:this.$=[a[s-1],{type:"addLinks",actor:a[s-1].actor,text:a[s]}];break;case 60:this.$=[a[s-1],{type:"addALink",actor:a[s-1].actor,text:a[s]}];break;case 61:this.$=[a[s-1],{type:"addProperties",actor:a[s-1].actor,text:a[s]}];break;case 62:this.$=[a[s-1],{type:"addDetails",actor:a[s-1].actor,text:a[s]}];break;case 65:this.$=[a[s-2],a[s]];break;case 67:this.$=i.PLACEMENT.LEFTOF;break;case 68:this.$=i.PLACEMENT.RIGHTOF;break;case 69:this.$=[a[s-4],a[s-1],{type:"addMessage",from:a[s-4].actor,to:a[s-1].actor,signalType:a[s-3],msg:a[s]},{type:"activeStart",signalType:i.LINETYPE.ACTIVE_START,actor:a[s-1]}];break;case 70:this.$=[a[s-4],a[s-1],{type:"addMessage",from:a[s-4].actor,to:a[s-1].actor,signalType:a[s-3],msg:a[s]},{type:"activeEnd",signalType:i.LINETYPE.ACTIVE_END,actor:a[s-4]}];break;case 71:this.$=[a[s-3],a[s-1],{type:"addMessage",from:a[s-3].actor,to:a[s-1].actor,signalType:a[s-2],msg:a[s]}];break;case 72:this.$={type:"addParticipant",actor:a[s]};break;case 73:this.$=i.LINETYPE.SOLID_OPEN;break;case 74:this.$=i.LINETYPE.DOTTED_OPEN;break;case 75:this.$=i.LINETYPE.SOLID;break;case 76:this.$=i.LINETYPE.DOTTED;break;case 77:this.$=i.LINETYPE.SOLID_CROSS;break;case 78:this.$=i.LINETYPE.DOTTED_CROSS;break;case 79:this.$=i.LINETYPE.SOLID_POINT;break;case 80:this.$=i.LINETYPE.DOTTED_POINT;break;case 81:this.$=i.parseMessage(a[s].trim().substring(1));break;case 82:i.parseDirective("%%{","open_directive");break;case 83:i.parseDirective(a[s],"type_directive");break;case 84:a[s]=a[s].trim().replace(/'/g,'"'),i.parseDirective(a[s],"arg_directive");break;case 85:i.parseDirective("}%%","close_directive","sequence")}},table:[{3:1,4:e,5:n,6:4,7:i,14:6,86:r},{1:[3]},{3:8,4:e,5:n,6:4,7:i,14:6,86:r},{3:9,4:e,5:n,6:4,7:i,14:6,86:r},{3:10,4:e,5:n,6:4,7:i,14:6,86:r},t([1,4,5,19,20,24,27,29,35,36,37,39,41,42,43,44,45,47,49,50,52,56,58,59,60,65,66,67,68,76,86],a,{8:11}),{15:12,87:[1,13]},{87:[2,82]},{1:[2,1]},{1:[2,2]},{1:[2,3]},{1:[2,4],4:o,5:s,6:43,9:14,10:16,13:18,14:6,19:c,20:u,23:21,24:l,27:h,28:47,29:f,30:25,31:26,32:27,33:28,34:29,35:d,36:g,37:p,39:b,41:w,42:y,43:m,44:v,45:x,47:k,49:_,50:E,52:T,56:C,58:S,59:A,60:M,65:I,66:L,67:D,68:O,76:N,86:r},{16:54,17:[1,55],89:P},t([17,89],[2,83]),t(B,[2,6]),{6:43,10:57,13:18,14:6,19:c,20:u,23:21,24:l,27:h,28:47,29:f,30:25,31:26,32:27,33:28,34:29,35:d,36:g,37:p,39:b,41:w,42:y,43:m,44:v,45:x,47:k,49:_,50:E,52:T,56:C,58:S,59:A,60:M,65:I,66:L,67:D,68:O,76:N,86:r},t(B,[2,8]),t(B,[2,9]),t(B,[2,17]),{13:58,56:C,58:S,59:A},{21:[1,59]},{5:[1,60]},{5:[1,63],25:[1,61],26:[1,62]},{28:64,76:N},{28:65,76:N},{5:[1,66]},{5:[1,67]},{5:[1,68]},{5:[1,69]},{5:[1,70]},t(B,[2,32]),t(B,[2,33]),{38:[1,71]},{40:[1,72]},t(B,[2,36]),{21:[1,73]},{21:[1,74]},{21:[1,75]},{21:[1,76]},{21:[1,77]},{21:[1,78]},{21:[1,79]},{21:[1,80]},t(B,[2,45]),{28:81,76:N},{28:82,76:N},{28:83,76:N},{73:84,77:[1,85],78:[1,86],79:[1,87],80:[1,88],81:[1,89],82:[1,90],83:[1,91],84:[1,92]},{61:93,63:[1,94],71:[1,95],72:[1,96]},{28:97,76:N},{28:98,76:N},{28:99,76:N},{28:100,76:N},t([5,57,70,77,78,79,80,81,82,83,84,85],[2,72]),{5:[1,101]},{18:102,88:[1,103]},{5:[2,85]},t(B,[2,7]),t(B,[2,18]),t(F,[2,10],{11:104}),t(B,[2,20]),{5:[1,106],25:[1,105]},{5:[1,107]},t(B,[2,24]),{5:[1,108]},{5:[1,109]},t(B,[2,27]),t(B,[2,28]),t(B,[2,29]),t(B,[2,30]),t(B,[2,31]),t(B,[2,34]),t(B,[2,35]),t(R,a,{8:110}),t(R,a,{8:111}),t(R,a,{8:112}),t($,a,{46:113,8:114}),t(j,a,{48:115,8:116}),t(j,a,{8:116,48:117}),t(z,a,{51:118,8:119}),t(R,a,{8:120}),{5:[1,122],57:[1,121]},{5:[1,124],57:[1,123]},{5:[1,125]},{28:128,74:[1,126],75:[1,127],76:N},t(q,[2,73]),t(q,[2,74]),t(q,[2,75]),t(q,[2,76]),t(q,[2,77]),t(q,[2,78]),t(q,[2,79]),t(q,[2,80]),{28:129,76:N},{28:131,64:130,76:N},{76:[2,67]},{76:[2,68]},{62:132,85:H},{62:134,85:H},{62:135,85:H},{62:136,85:H},t(Z,[2,15]),{16:137,89:P},{89:[2,84]},{4:[1,140],5:[1,142],12:139,13:141,22:[1,138],56:C,58:S,59:A},{5:[1,143]},t(B,[2,22]),t(B,[2,23]),t(B,[2,25]),t(B,[2,26]),{4:o,5:s,6:43,9:14,10:16,13:18,14:6,19:c,20:u,22:[1,144],23:21,24:l,27:h,28:47,29:f,30:25,31:26,32:27,33:28,34:29,35:d,36:g,37:p,39:b,41:w,42:y,43:m,44:v,45:x,47:k,49:_,50:E,52:T,56:C,58:S,59:A,60:M,65:I,66:L,67:D,68:O,76:N,86:r},{4:o,5:s,6:43,9:14,10:16,13:18,14:6,19:c,20:u,22:[1,145],23:21,24:l,27:h,28:47,29:f,30:25,31:26,32:27,33:28,34:29,35:d,36:g,37:p,39:b,41:w,42:y,43:m,44:v,45:x,47:k,49:_,50:E,52:T,56:C,58:S,59:A,60:M,65:I,66:L,67:D,68:O,76:N,86:r},{4:o,5:s,6:43,9:14,10:16,13:18,14:6,19:c,20:u,22:[1,146],23:21,24:l,27:h,28:47,29:f,30:25,31:26,32:27,33:28,34:29,35:d,36:g,37:p,39:b,41:w,42:y,43:m,44:v,45:x,47:k,49:_,50:E,52:T,56:C,58:S,59:A,60:M,65:I,66:L,67:D,68:O,76:N,86:r},{22:[1,147]},{4:o,5:s,6:43,9:14,10:16,13:18,14:6,19:c,20:u,22:[2,50],23:21,24:l,27:h,28:47,29:f,30:25,31:26,32:27,33:28,34:29,35:d,36:g,37:p,39:b,41:w,42:y,43:m,44:v,45:x,47:k,49:_,50:E,52:T,55:[1,148],56:C,58:S,59:A,60:M,65:I,66:L,67:D,68:O,76:N,86:r},{22:[1,149]},{4:o,5:s,6:43,9:14,10:16,13:18,14:6,19:c,20:u,22:[2,48],23:21,24:l,27:h,28:47,29:f,30:25,31:26,32:27,33:28,34:29,35:d,36:g,37:p,39:b,41:w,42:y,43:m,44:v,45:x,47:k,49:_,50:E,52:T,54:[1,150],56:C,58:S,59:A,60:M,65:I,66:L,67:D,68:O,76:N,86:r},{22:[1,151]},{22:[1,152]},{4:o,5:s,6:43,9:14,10:16,13:18,14:6,19:c,20:u,22:[2,46],23:21,24:l,27:h,28:47,29:f,30:25,31:26,32:27,33:28,34:29,35:d,36:g,37:p,39:b,41:w,42:y,43:m,44:v,45:x,47:k,49:_,50:E,52:T,53:[1,153],56:C,58:S,59:A,60:M,65:I,66:L,67:D,68:O,76:N,86:r},{4:o,5:s,6:43,9:14,10:16,13:18,14:6,19:c,20:u,22:[1,154],23:21,24:l,27:h,28:47,29:f,30:25,31:26,32:27,33:28,34:29,35:d,36:g,37:p,39:b,41:w,42:y,43:m,44:v,45:x,47:k,49:_,50:E,52:T,56:C,58:S,59:A,60:M,65:I,66:L,67:D,68:O,76:N,86:r},{21:[1,155]},t(B,[2,53]),{21:[1,156]},t(B,[2,55]),t(B,[2,56]),{28:157,76:N},{28:158,76:N},{62:159,85:H},{62:160,85:H},{62:161,85:H},{70:[1,162],85:[2,66]},{5:[2,59]},{5:[2,81]},{5:[2,60]},{5:[2,61]},{5:[2,62]},{5:[1,163]},t(B,[2,19]),t(F,[2,11]),{13:164,56:C,58:S,59:A},t(F,[2,13]),t(F,[2,14]),t(B,[2,21]),t(B,[2,37]),t(B,[2,38]),t(B,[2,39]),t(B,[2,40]),{21:[1,165]},t(B,[2,41]),{21:[1,166]},t(B,[2,42]),t(B,[2,43]),{21:[1,167]},t(B,[2,44]),{5:[1,168]},{5:[1,169]},{62:170,85:H},{62:171,85:H},{5:[2,71]},{5:[2,57]},{5:[2,58]},{28:172,76:N},t(Z,[2,16]),t(F,[2,12]),t($,a,{8:114,46:173}),t(j,a,{8:116,48:174}),t(z,a,{8:119,51:175}),t(B,[2,52]),t(B,[2,54]),{5:[2,69]},{5:[2,70]},{85:[2,65]},{22:[2,51]},{22:[2,49]},{22:[2,47]}],defaultActions:{7:[2,82],8:[2,1],9:[2,2],10:[2,3],56:[2,85],95:[2,67],96:[2,68],103:[2,84],132:[2,59],133:[2,81],134:[2,60],135:[2,61],136:[2,62],159:[2,71],160:[2,57],161:[2,58],170:[2,69],171:[2,70],172:[2,65],173:[2,51],174:[2,49],175:[2,47]},parseError:function(t,e){if(!e.recoverable){var n=new Error(t);throw n.hash=e,n}this.trace(t)},parse:function(t){var e=this,n=[0],i=[],r=[null],a=[],o=this.table,s="",c=0,u=0,l=2,h=1,f=a.slice.call(arguments,1),d=Object.create(this.lexer),g={yy:{}};for(var p in this.yy)Object.prototype.hasOwnProperty.call(this.yy,p)&&(g.yy[p]=this.yy[p]);d.setInput(t,g.yy),g.yy.lexer=d,g.yy.parser=this,void 0===d.yylloc&&(d.yylloc={});var b=d.yylloc;a.push(b);var w=d.options&&d.options.ranges;function y(){var t;return"number"!=typeof(t=i.pop()||d.lex()||h)&&(t instanceof Array&&(t=(i=t).pop()),t=e.symbols_[t]||t),t}"function"==typeof g.yy.parseError?this.parseError=g.yy.parseError:this.parseError=Object.getPrototypeOf(this).parseError;for(var m,v,x,k,_,E,T,C,S={};;){if(v=n[n.length-1],this.defaultActions[v]?x=this.defaultActions[v]:(null==m&&(m=y()),x=o[v]&&o[v][m]),void 0===x||!x.length||!x[0]){var A="";for(_ in C=[],o[v])this.terminals_[_]&&_>l&&C.push("'"+this.terminals_[_]+"'");A=d.showPosition?"Parse error on line "+(c+1)+":\n"+d.showPosition()+"\nExpecting "+C.join(", ")+", got '"+(this.terminals_[m]||m)+"'":"Parse error on line "+(c+1)+": Unexpected "+(m==h?"end of input":"'"+(this.terminals_[m]||m)+"'"),this.parseError(A,{text:d.match,token:this.terminals_[m]||m,line:d.yylineno,loc:b,expected:C})}if(x[0]instanceof Array&&x.length>1)throw new Error("Parse Error: multiple actions possible at state: "+v+", token: "+m);switch(x[0]){case 1:n.push(m),r.push(d.yytext),a.push(d.yylloc),n.push(x[1]),m=null,u=d.yyleng,s=d.yytext,c=d.yylineno,b=d.yylloc;break;case 2:if(E=this.productions_[x[1]][1],S.$=r[r.length-E],S._$={first_line:a[a.length-(E||1)].first_line,last_line:a[a.length-1].last_line,first_column:a[a.length-(E||1)].first_column,last_column:a[a.length-1].last_column},w&&(S._$.range=[a[a.length-(E||1)].range[0],a[a.length-1].range[1]]),void 0!==(k=this.performAction.apply(S,[s,u,c,g.yy,x[1],r,a].concat(f))))return k;E&&(n=n.slice(0,-1*E*2),r=r.slice(0,-1*E),a=a.slice(0,-1*E)),n.push(this.productions_[x[1]][0]),r.push(S.$),a.push(S._$),T=o[n[n.length-2]][n[n.length-1]],n.push(T);break;case 3:return!0}}return!0}},Y={EOF:1,parseError:function(t,e){if(!this.yy.parser)throw new Error(t);this.yy.parser.parseError(t,e)},setInput:function(t,e){return this.yy=e||this.yy||{},this._input=t,this._more=this._backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match="",this.conditionStack=["INITIAL"],this.yylloc={first_line:1,first_column:0,last_line:1,last_column:0},this.options.ranges&&(this.yylloc.range=[0,0]),this.offset=0,this},input:function(){var t=this._input[0];return this.yytext+=t,this.yyleng++,this.offset++,this.match+=t,this.matched+=t,t.match(/(?:\r\n?|\n).*/g)?(this.yylineno++,this.yylloc.last_line++):this.yylloc.last_column++,this.options.ranges&&this.yylloc.range[1]++,this._input=this._input.slice(1),t},unput:function(t){var e=t.length,n=t.split(/(?:\r\n?|\n)/g);this._input=t+this._input,this.yytext=this.yytext.substr(0,this.yytext.length-e),this.offset-=e;var i=this.match.split(/(?:\r\n?|\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),n.length-1&&(this.yylineno-=n.length-1);var r=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:n?(n.length===i.length?this.yylloc.first_column:0)+i[i.length-n.length].length-n[0].length:this.yylloc.first_column-e},this.options.ranges&&(this.yylloc.range=[r[0],r[0]+this.yyleng-e]),this.yyleng=this.yytext.length,this},more:function(){return this._more=!0,this},reject:function(){return this.options.backtrack_lexer?(this._backtrack=!0,this):this.parseError("Lexical error on line "+(this.yylineno+1)+". You can only invoke reject() in the lexer when the lexer is of the backtracking persuasion (options.backtrack_lexer = true).\n"+this.showPosition(),{text:"",token:null,line:this.yylineno})},less:function(t){this.unput(this.match.slice(t))},pastInput:function(){var t=this.matched.substr(0,this.matched.length-this.match.length);return(t.length>20?"...":"")+t.substr(-20).replace(/\n/g,"")},upcomingInput:function(){var t=this.match;return t.length<20&&(t+=this._input.substr(0,20-t.length)),(t.substr(0,20)+(t.length>20?"...":"")).replace(/\n/g,"")},showPosition:function(){var t=this.pastInput(),e=new Array(t.length+1).join("-");return t+this.upcomingInput()+"\n"+e+"^"},test_match:function(t,e){var n,i,r;if(this.options.backtrack_lexer&&(r={yylineno:this.yylineno,yylloc:{first_line:this.yylloc.first_line,last_line:this.last_line,first_column:this.yylloc.first_column,last_column:this.yylloc.last_column},yytext:this.yytext,match:this.match,matches:this.matches,matched:this.matched,yyleng:this.yyleng,offset:this.offset,_more:this._more,_input:this._input,yy:this.yy,conditionStack:this.conditionStack.slice(0),done:this.done},this.options.ranges&&(r.yylloc.range=this.yylloc.range.slice(0))),(i=t[0].match(/(?:\r\n?|\n).*/g))&&(this.yylineno+=i.length),this.yylloc={first_line:this.yylloc.last_line,last_line:this.yylineno+1,first_column:this.yylloc.last_column,last_column:i?i[i.length-1].length-i[i.length-1].match(/\r?\n?/)[0].length:this.yylloc.last_column+t[0].length},this.yytext+=t[0],this.match+=t[0],this.matches=t,this.yyleng=this.yytext.length,this.options.ranges&&(this.yylloc.range=[this.offset,this.offset+=this.yyleng]),this._more=!1,this._backtrack=!1,this._input=this._input.slice(t[0].length),this.matched+=t[0],n=this.performAction.call(this,this.yy,this,e,this.conditionStack[this.conditionStack.length-1]),this.done&&this._input&&(this.done=!1),n)return n;if(this._backtrack){for(var a in r)this[a]=r[a];return!1}return!1},next:function(){if(this.done)return this.EOF;var t,e,n,i;this._input||(this.done=!0),this._more||(this.yytext="",this.match="");for(var r=this._currentRules(),a=0;a<r.length;a++)if((n=this._input.match(this.rules[r[a]]))&&(!e||n[0].length>e[0].length)){if(e=n,i=a,this.options.backtrack_lexer){if(!1!==(t=this.test_match(n,r[a])))return t;if(this._backtrack){e=!1;continue}return!1}if(!this.options.flex)break}return e?!1!==(t=this.test_match(e,r[i]))&&t:""===this._input?this.EOF:this.parseError("Lexical error on line "+(this.yylineno+1)+". Unrecognized text.\n"+this.showPosition(),{text:"",token:null,line:this.yylineno})},lex:function(){var t=this.next();return t||this.lex()},begin:function(t){this.conditionStack.push(t)},popState:function(){return this.conditionStack.length-1>0?this.conditionStack.pop():this.conditionStack[0]},_currentRules:function(){return this.conditionStack.length&&this.conditionStack[this.conditionStack.length-1]?this.conditions[this.conditionStack[this.conditionStack.length-1]].rules:this.conditions.INITIAL.rules},topState:function(t){return(t=this.conditionStack.length-1-Math.abs(t||0))>=0?this.conditionStack[t]:"INITIAL"},pushState:function(t){this.begin(t)},stateStackSize:function(){return this.conditionStack.length},options:{"case-insensitive":!0},performAction:function(t,e,n,i){switch(n){case 0:return this.begin("open_directive"),86;case 1:return this.begin("type_directive"),87;case 2:return this.popState(),this.begin("arg_directive"),17;case 3:return this.popState(),this.popState(),89;case 4:return 88;case 5:case 56:case 69:return 5;case 6:case 7:case 8:case 9:case 10:break;case 11:return 25;case 12:return this.begin("LINE"),20;case 13:return this.begin("ID"),56;case 14:return this.begin("ID"),58;case 15:return 19;case 16:return this.begin("ID"),59;case 17:return e.yytext=e.yytext.trim(),this.begin("ALIAS"),76;case 18:return this.popState(),this.popState(),this.begin("LINE"),57;case 19:return this.popState(),this.popState(),5;case 20:return this.begin("LINE"),42;case 21:return this.begin("LINE"),43;case 22:return this.begin("LINE"),44;case 23:return this.begin("LINE"),45;case 24:return this.begin("LINE"),55;case 25:return this.begin("LINE"),47;case 26:return this.begin("LINE"),49;case 27:return this.begin("LINE"),54;case 28:return this.begin("LINE"),50;case 29:return this.begin("LINE"),53;case 30:return this.begin("LINE"),52;case 31:return this.popState(),21;case 32:return 22;case 33:return 71;case 34:return 72;case 35:return 65;case 36:return 66;case 37:return 67;case 38:return 68;case 39:return 63;case 40:return 60;case 41:return this.begin("ID"),27;case 42:return this.begin("ID"),29;case 43:return 35;case 44:return 36;case 45:return this.begin("acc_title"),37;case 46:return this.popState(),"acc_title_value";case 47:return this.begin("acc_descr"),39;case 48:return this.popState(),"acc_descr_value";case 49:this.begin("acc_descr_multiline");break;case 50:this.popState();break;case 51:return"acc_descr_multiline_value";case 52:return 7;case 53:return 24;case 54:return 26;case 55:return 70;case 57:return e.yytext=e.yytext.trim(),76;case 58:return 79;case 59:return 80;case 60:return 77;case 61:return 78;case 62:return 81;case 63:return 82;case 64:return 83;case 65:return 84;case 66:return 85;case 67:return 74;case 68:return 75;case 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c=r.sequenceItems.length-a+1;r.updateVal(s,"starty",e-c*G.boxMargin,Math.min),r.updateVal(s,"stopy",i+c*G.boxMargin,Math.max),r.updateVal(K.data,"startx",t-c*G.boxMargin,Math.min),r.updateVal(K.data,"stopx",n+c*G.boxMargin,Math.max),"activation"!==o&&(r.updateVal(s,"startx",t-c*G.boxMargin,Math.min),r.updateVal(s,"stopx",n+c*G.boxMargin,Math.max),r.updateVal(K.data,"starty",e-c*G.boxMargin,Math.min),r.updateVal(K.data,"stopy",i+c*G.boxMargin,Math.max))}}this.sequenceItems.forEach(o()),this.activations.forEach(o("activation"))},insert:function(t,e,n,r){const a=i.e.getMin(t,n),o=i.e.getMax(t,n),s=i.e.getMin(e,r),c=i.e.getMax(e,r);this.updateVal(K.data,"startx",a,Math.min),this.updateVal(K.data,"starty",s,Math.min),this.updateVal(K.data,"stopx",o,Math.max),this.updateVal(K.data,"stopy",c,Math.max),this.updateBounds(a,s,o,c)},newActivation:function(t,e,n){const i=n[t.from.actor],r=et(t.from.actor).length||0,a=i.x+i.width/2+(r-1)*G.activationWidth/2;this.activations.push({startx:a,starty:this.verticalPos+2,stopx:a+G.activationWidth,stopy:void 0,actor:t.from.actor,anchored:Y.anchorElement(e)})},endActivation:function(t){const e=this.activations.map((function(t){return t.actor})).lastIndexOf(t.from.actor);return this.activations.splice(e,1)[0]},createLoop:function(t={message:void 0,wrap:!1,width:void 0},e){return{startx:void 0,starty:this.verticalPos,stopx:void 0,stopy:void 0,title:t.message,wrap:t.wrap,width:t.width,height:0,fill:e}},newLoop:function(t={message:void 0,wrap:!1,width:void 0},e){this.sequenceItems.push(this.createLoop(t,e))},endLoop:function(){return this.sequenceItems.pop()},isLoopOverlap:function(){return!!this.sequenceItems.length&&this.sequenceItems[this.sequenceItems.length-1].overlap},addSectionToLoop:function(t){const e=this.sequenceItems.pop();e.sections=e.sections||[],e.sectionTitles=e.sectionTitles||[],e.sections.push({y:K.getVerticalPos(),height:0}),e.sectionTitles.push(t),this.sequenceItems.push(e)},saveVerticalPos:function(){this.isLoopOverlap()&&(this.savedVerticalPos=this.verticalPos)},resetVerticalPos:function(){this.isLoopOverlap()&&(this.verticalPos=this.savedVerticalPos)},bumpVerticalPos:function(t){this.verticalPos=this.verticalPos+t,this.data.stopy=i.e.getMax(this.data.stopy,this.verticalPos)},getVerticalPos:function(){return this.verticalPos},getBounds:function(){return{bounds:this.data,models:this.models}}},W=t=>({fontFamily:t.messageFontFamily,fontSize:t.messageFontSize,fontWeight:t.messageFontWeight}),X=t=>({fontFamily:t.noteFontFamily,fontSize:t.noteFontSize,fontWeight:t.noteFontWeight}),V=t=>({fontFamily:t.actorFontFamily,fontSize:t.actorFontSize,fontWeight:t.actorFontWeight});const Q=function(t,e,n,r){if(r){let r=0;K.bumpVerticalPos(2*G.boxMargin);for(const a of n){const n=e[a];n.stopy||(n.stopy=K.getVerticalPos());const o=Y.drawActor(t,n,G,!0);r=i.e.getMax(r,o)}K.bumpVerticalPos(r+G.boxMargin)}else for(const i of n){const n=e[i];Y.drawActor(t,n,G,!1)}},J=function(t,e,n,i){let r=0,a=0;for(const o of n){const n=e[o],s=rt(n),c=Y.drawPopup(t,n,s,G,G.forceMenus,i);c.height>r&&(r=c.height),c.width+n.x>a&&(a=c.width+n.x)}return{maxHeight:r,maxWidth:a}},tt=function(t){(0,i.f)(G,t),t.fontFamily&&(G.actorFontFamily=G.noteFontFamily=G.messageFontFamily=t.fontFamily),t.fontSize&&(G.actorFontSize=G.noteFontSize=G.messageFontSize=t.fontSize),t.fontWeight&&(G.actorFontWeight=G.noteFontWeight=G.messageFontWeight=t.fontWeight)},et=function(t){return K.activations.filter((function(e){return e.actor===t}))},nt=function(t,e){const n=e[t],r=et(t);return[r.reduce((function(t,e){return i.e.getMin(t,e.startx)}),n.x+n.width/2),r.reduce((function(t,e){return i.e.getMax(t,e.stopx)}),n.x+n.width/2)]};function it(t,e,n,r,a){K.bumpVerticalPos(n);let o=r;if(e.id&&e.message&&t[e.id]){const n=t[e.id].width,a=W(G);e.message=i.u.wrapLabel(`[${e.message}]`,n-2*G.wrapPadding,a),e.width=n,e.wrap=!0;const s=i.u.calculateTextDimensions(e.message,a),c=i.e.getMax(s.height,G.labelBoxHeight);o=r+c,i.l.debug(`${c} - ${e.message}`)}a(e),K.bumpVerticalPos(o)}const rt=function(t){let e=0;const n=V(G);for(const r in t.links){const t=i.u.calculateTextDimensions(r,n).width+2*G.wrapPadding+2*G.boxMargin;e<t&&(e=t)}return e};const at=function(t,e,n,r){const a={},o=[];let s,c,u;return t.forEach((function(t){switch(t.id=i.u.random({length:10}),t.type){case r.db.LINETYPE.LOOP_START:case r.db.LINETYPE.ALT_START:case r.db.LINETYPE.OPT_START:case r.db.LINETYPE.PAR_START:case r.db.LINETYPE.PAR_OVER_START:case r.db.LINETYPE.CRITICAL_START:case r.db.LINETYPE.BREAK_START:o.push({id:t.id,msg:t.message,from:Number.MAX_SAFE_INTEGER,to:Number.MIN_SAFE_INTEGER,width:0});break;case r.db.LINETYPE.ALT_ELSE:case r.db.LINETYPE.PAR_AND:case r.db.LINETYPE.CRITICAL_OPTION:t.message&&(s=o.pop(),a[s.id]=s,a[t.id]=s,o.push(s));break;case r.db.LINETYPE.LOOP_END:case r.db.LINETYPE.ALT_END:case r.db.LINETYPE.OPT_END:case r.db.LINETYPE.PAR_END:case r.db.LINETYPE.CRITICAL_END:case r.db.LINETYPE.BREAK_END:s=o.pop(),a[s.id]=s;break;case r.db.LINETYPE.ACTIVE_START:{const n=e[t.from?t.from.actor:t.to.actor],i=et(t.from?t.from.actor:t.to.actor).length,r=n.x+n.width/2+(i-1)*G.activationWidth/2,a={startx:r,stopx:r+G.activationWidth,actor:t.from.actor,enabled:!0};K.activations.push(a)}break;case r.db.LINETYPE.ACTIVE_END:{const e=K.activations.map((t=>t.actor)).lastIndexOf(t.from.actor);delete K.activations.splice(e,1)[0]}}void 0!==t.placement?(c=function(t,e,n){const r=e[t.from].x,a=e[t.to].x,o=t.wrap&&t.message;let s=i.u.calculateTextDimensions(o?i.u.wrapLabel(t.message,G.width,X(G)):t.message,X(G));const c={width:o?G.width:i.e.getMax(G.width,s.width+2*G.noteMargin),height:0,startx:e[t.from].x,stopx:0,starty:0,stopy:0,message:t.message};return t.placement===n.db.PLACEMENT.RIGHTOF?(c.width=o?i.e.getMax(G.width,s.width):i.e.getMax(e[t.from].width/2+e[t.to].width/2,s.width+2*G.noteMargin),c.startx=r+(e[t.from].width+G.actorMargin)/2):t.placement===n.db.PLACEMENT.LEFTOF?(c.width=o?i.e.getMax(G.width,s.width+2*G.noteMargin):i.e.getMax(e[t.from].width/2+e[t.to].width/2,s.width+2*G.noteMargin),c.startx=r-c.width+(e[t.from].width-G.actorMargin)/2):t.to===t.from?(s=i.u.calculateTextDimensions(o?i.u.wrapLabel(t.message,i.e.getMax(G.width,e[t.from].width),X(G)):t.message,X(G)),c.width=o?i.e.getMax(G.width,e[t.from].width):i.e.getMax(e[t.from].width,G.width,s.width+2*G.noteMargin),c.startx=r+(e[t.from].width-c.width)/2):(c.width=Math.abs(r+e[t.from].width/2-(a+e[t.to].width/2))+G.actorMargin,c.startx=r<a?r+e[t.from].width/2-G.actorMargin/2:a+e[t.to].width/2-G.actorMargin/2),o&&(c.message=i.u.wrapLabel(t.message,c.width-2*G.wrapPadding,X(G))),i.l.debug(`NM:[${c.startx},${c.stopx},${c.starty},${c.stopy}:${c.width},${c.height}=${t.message}]`),c}(t,e,r),t.noteModel=c,o.forEach((t=>{s=t,s.from=i.e.getMin(s.from,c.startx),s.to=i.e.getMax(s.to,c.startx+c.width),s.width=i.e.getMax(s.width,Math.abs(s.from-s.to))-G.labelBoxWidth}))):(u=function(t,e,n){let r=!1;if([n.db.LINETYPE.SOLID_OPEN,n.db.LINETYPE.DOTTED_OPEN,n.db.LINETYPE.SOLID,n.db.LINETYPE.DOTTED,n.db.LINETYPE.SOLID_CROSS,n.db.LINETYPE.DOTTED_CROSS,n.db.LINETYPE.SOLID_POINT,n.db.LINETYPE.DOTTED_POINT].includes(t.type)&&(r=!0),!r)return{};const a=nt(t.from,e),o=nt(t.to,e),s=a[0]<=o[0]?1:0,c=a[0]<o[0]?0:1,u=[...a,...o],l=Math.abs(o[c]-a[s]);t.wrap&&t.message&&(t.message=i.u.wrapLabel(t.message,i.e.getMax(l+2*G.wrapPadding,G.width),W(G)));const h=i.u.calculateTextDimensions(t.message,W(G));return{width:i.e.getMax(t.wrap?0:h.width+2*G.wrapPadding,l+2*G.wrapPadding,G.width),height:0,startx:a[s],stopx:o[c],starty:0,stopy:0,message:t.message,type:t.type,wrap:t.wrap,fromBounds:Math.min.apply(null,u),toBounds:Math.max.apply(null,u)}}(t,e,r),t.msgModel=u,u.startx&&u.stopx&&o.length>0&&o.forEach((n=>{if(s=n,u.startx===u.stopx){const n=e[t.from],r=e[t.to];s.from=i.e.getMin(n.x-u.width/2,n.x-n.width/2,s.from),s.to=i.e.getMax(r.x+u.width/2,r.x+n.width/2,s.to),s.width=i.e.getMax(s.width,Math.abs(s.to-s.from))-G.labelBoxWidth}else s.from=i.e.getMin(u.startx,s.from),s.to=i.e.getMax(u.stopx,s.to),s.width=i.e.getMax(s.width,u.width)-G.labelBoxWidth})))})),K.activations=[],i.l.debug("Loop type widths:",a),a},ot={parser:c,db:D,renderer:{bounds:K,drawActors:Q,drawActorsPopup:J,setConf:tt,draw:function(t,e,n,o){const{securityLevel:s,sequence:c}=(0,i.c)();let u;G=c,"sandbox"===s&&(u=(0,r.Ys)("#i"+e));const l="sandbox"===s?(0,r.Ys)(u.nodes()[0].contentDocument.body):(0,r.Ys)("body"),h="sandbox"===s?u.nodes()[0].contentDocument:document;K.init(),i.l.debug(o.db);const f="sandbox"===s?l.select(`[id="${e}"]`):(0,r.Ys)(`[id="${e}"]`),d=o.db.getActors(),g=o.db.getCreatedActors(),p=o.db.getDestroyedActors(),b=o.db.getBoxes();let w=o.db.getActorKeys();const y=o.db.getMessages(),m=o.db.getDiagramTitle(),v=o.db.hasAtLeastOneBox(),x=o.db.hasAtLeastOneBoxWithTitle(),k=function(t,e,n){const r={};return e.forEach((function(e){if(t[e.to]&&t[e.from]){const a=t[e.to];if(e.placement===n.db.PLACEMENT.LEFTOF&&!a.prevActor)return;if(e.placement===n.db.PLACEMENT.RIGHTOF&&!a.nextActor)return;const o=void 0!==e.placement,s=!o,c=o?X(G):W(G),u=e.wrap?i.u.wrapLabel(e.message,G.width-2*G.wrapPadding,c):e.message,l=i.u.calculateTextDimensions(u,c).width+2*G.wrapPadding;s&&e.from===a.nextActor?r[e.to]=i.e.getMax(r[e.to]||0,l):s&&e.from===a.prevActor?r[e.from]=i.e.getMax(r[e.from]||0,l):s&&e.from===e.to?(r[e.from]=i.e.getMax(r[e.from]||0,l/2),r[e.to]=i.e.getMax(r[e.to]||0,l/2)):e.placement===n.db.PLACEMENT.RIGHTOF?r[e.from]=i.e.getMax(r[e.from]||0,l):e.placement===n.db.PLACEMENT.LEFTOF?r[a.prevActor]=i.e.getMax(r[a.prevActor]||0,l):e.placement===n.db.PLACEMENT.OVER&&(a.prevActor&&(r[a.prevActor]=i.e.getMax(r[a.prevActor]||0,l/2)),a.nextActor&&(r[e.from]=i.e.getMax(r[e.from]||0,l/2)))}})),i.l.debug("maxMessageWidthPerActor:",r),r}(d,y,o);if(G.height=function(t,e,n){let r=0;Object.keys(t).forEach((e=>{const n=t[e];n.wrap&&(n.description=i.u.wrapLabel(n.description,G.width-2*G.wrapPadding,V(G)));const a=i.u.calculateTextDimensions(n.description,V(G));n.width=n.wrap?G.width:i.e.getMax(G.width,a.width+2*G.wrapPadding),n.height=n.wrap?i.e.getMax(a.height,G.height):G.height,r=i.e.getMax(r,n.height)}));for(const n in e){const r=t[n];if(!r)continue;const a=t[r.nextActor];if(!a){const t=e[n]+G.actorMargin-r.width/2;r.margin=i.e.getMax(t,G.actorMargin);continue}const o=e[n]+G.actorMargin-r.width/2-a.width/2;r.margin=i.e.getMax(o,G.actorMargin)}let a=0;return n.forEach((e=>{const n=W(G);let r=e.actorKeys.reduce(((e,n)=>e+(t[n].width+(t[n].margin||0))),0);r-=2*G.boxTextMargin,e.wrap&&(e.name=i.u.wrapLabel(e.name,r-2*G.wrapPadding,n));const o=i.u.calculateTextDimensions(e.name,n);a=i.e.getMax(o.height,a);const s=i.e.getMax(r,o.width+2*G.wrapPadding);if(e.margin=G.boxTextMargin,r<s){const t=(s-r)/2;e.margin+=t}})),n.forEach((t=>t.textMaxHeight=a)),i.e.getMax(r,G.height)}(d,k,b),Y.insertComputerIcon(f),Y.insertDatabaseIcon(f),Y.insertClockIcon(f),v&&(K.bumpVerticalPos(G.boxMargin),x&&K.bumpVerticalPos(b[0].textMaxHeight)),!0===G.hideUnusedParticipants){const t=new Set;y.forEach((e=>{t.add(e.from),t.add(e.to)})),w=w.filter((e=>t.has(e)))}!function(t,e,n,r,a,o,s){let c,u=0,l=0,h=0;for(const t of r){const r=e[t],o=r.box;c&&c!=o&&(s||K.models.addBox(c),l+=G.boxMargin+c.margin),o&&o!=c&&(s||(o.x=u+l,o.y=a),l+=o.margin),r.width=r.width||G.width,r.height=i.e.getMax(r.height||G.height,G.height),r.margin=r.margin||G.actorMargin,h=i.e.getMax(h,r.height),n[r.name]&&(l+=r.width/2),r.x=u+l,r.starty=K.getVerticalPos(),K.insert(r.x,a,r.x+r.width,r.height),u+=r.width+l,r.box&&(r.box.width=u+o.margin-r.box.x),l=r.margin,c=r.box,K.models.addActor(r)}c&&!s&&K.models.addBox(c),K.bumpVerticalPos(h)}(0,d,g,w,0,0,!1);const _=at(y,d,k,o);Y.insertArrowHead(f),Y.insertArrowCrossHead(f),Y.insertArrowFilledHead(f),Y.insertSequenceNumber(f);let E=1,T=1;const C=[],S=[];y.forEach((function(t,e){let n,r,s;switch(t.type){case o.db.LINETYPE.NOTE:K.resetVerticalPos(),r=t.noteModel,function(t,e){K.bumpVerticalPos(G.boxMargin),e.height=G.boxMargin,e.starty=K.getVerticalPos();const n=(0,a.g)();n.x=e.startx,n.y=e.starty,n.width=e.width||G.width,n.class="note";const i=t.append("g"),r=Y.drawRect(i,n),o=(0,a.e)();o.x=e.startx,o.y=e.starty,o.width=n.width,o.dy="1em",o.text=e.message,o.class="noteText",o.fontFamily=G.noteFontFamily,o.fontSize=G.noteFontSize,o.fontWeight=G.noteFontWeight,o.anchor=G.noteAlign,o.textMargin=G.noteMargin,o.valign="center";const s=R(i,o),c=Math.round(s.map((t=>(t._groups||t)[0][0].getBBox().height)).reduce(((t,e)=>t+e)));r.attr("height",c+2*G.noteMargin),e.height+=c+2*G.noteMargin,K.bumpVerticalPos(c+2*G.noteMargin),e.stopy=e.starty+c+2*G.noteMargin,e.stopx=e.startx+n.width,K.insert(e.startx,e.starty,e.stopx,e.stopy),K.models.addNote(e)}(f,r);break;case o.db.LINETYPE.ACTIVE_START:K.newActivation(t,f,d);break;case o.db.LINETYPE.ACTIVE_END:!function(t,e){const n=K.endActivation(t);n.starty+18>e&&(n.starty=e-6,e+=12),Y.drawActivation(f,n,e,G,et(t.from.actor).length),K.insert(n.startx,e-10,n.stopx,e)}(t,K.getVerticalPos());break;case o.db.LINETYPE.LOOP_START:it(_,t,G.boxMargin,G.boxMargin+G.boxTextMargin,(t=>K.newLoop(t)));break;case o.db.LINETYPE.LOOP_END:n=K.endLoop(),Y.drawLoop(f,n,"loop",G),K.bumpVerticalPos(n.stopy-K.getVerticalPos()),K.models.addLoop(n);break;case o.db.LINETYPE.RECT_START:it(_,t,G.boxMargin,G.boxMargin,(t=>K.newLoop(void 0,t.message)));break;case o.db.LINETYPE.RECT_END:n=K.endLoop(),S.push(n),K.models.addLoop(n),K.bumpVerticalPos(n.stopy-K.getVerticalPos());break;case o.db.LINETYPE.OPT_START:it(_,t,G.boxMargin,G.boxMargin+G.boxTextMargin,(t=>K.newLoop(t)));break;case o.db.LINETYPE.OPT_END:n=K.endLoop(),Y.drawLoop(f,n,"opt",G),K.bumpVerticalPos(n.stopy-K.getVerticalPos()),K.models.addLoop(n);break;case o.db.LINETYPE.ALT_START:it(_,t,G.boxMargin,G.boxMargin+G.boxTextMargin,(t=>K.newLoop(t)));break;case o.db.LINETYPE.ALT_ELSE:it(_,t,G.boxMargin+G.boxTextMargin,G.boxMargin,(t=>K.addSectionToLoop(t)));break;case o.db.LINETYPE.ALT_END:n=K.endLoop(),Y.drawLoop(f,n,"alt",G),K.bumpVerticalPos(n.stopy-K.getVerticalPos()),K.models.addLoop(n);break;case o.db.LINETYPE.PAR_START:case o.db.LINETYPE.PAR_OVER_START:it(_,t,G.boxMargin,G.boxMargin+G.boxTextMargin,(t=>K.newLoop(t))),K.saveVerticalPos();break;case o.db.LINETYPE.PAR_AND:it(_,t,G.boxMargin+G.boxTextMargin,G.boxMargin,(t=>K.addSectionToLoop(t)));break;case o.db.LINETYPE.PAR_END:n=K.endLoop(),Y.drawLoop(f,n,"par",G),K.bumpVerticalPos(n.stopy-K.getVerticalPos()),K.models.addLoop(n);break;case o.db.LINETYPE.AUTONUMBER:E=t.message.start||E,T=t.message.step||T,t.message.visible?o.db.enableSequenceNumbers():o.db.disableSequenceNumbers();break;case o.db.LINETYPE.CRITICAL_START:it(_,t,G.boxMargin,G.boxMargin+G.boxTextMargin,(t=>K.newLoop(t)));break;case o.db.LINETYPE.CRITICAL_OPTION:it(_,t,G.boxMargin+G.boxTextMargin,G.boxMargin,(t=>K.addSectionToLoop(t)));break;case o.db.LINETYPE.CRITICAL_END:n=K.endLoop(),Y.drawLoop(f,n,"critical",G),K.bumpVerticalPos(n.stopy-K.getVerticalPos()),K.models.addLoop(n);break;case o.db.LINETYPE.BREAK_START:it(_,t,G.boxMargin,G.boxMargin+G.boxTextMargin,(t=>K.newLoop(t)));break;case 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"+(c+1)+":\n"+d.showPosition()+"\nExpecting "+C.join(", ")+", got '"+(this.terminals_[m]||m)+"'":"Parse error on line "+(c+1)+": Unexpected "+(m==h?"end of input":"'"+(this.terminals_[m]||m)+"'"),this.parseError(A,{text:d.match,token:this.terminals_[m]||m,line:d.yylineno,loc:b,expected:C})}if(x[0]instanceof Array&&x.length>1)throw new Error("Parse Error: multiple actions possible at state: "+v+", token: "+m);switch(x[0]){case 1:n.push(m),r.push(d.yytext),a.push(d.yylloc),n.push(x[1]),m=null,u=d.yyleng,s=d.yytext,c=d.yylineno,b=d.yylloc;break;case 2:if(E=this.productions_[x[1]][1],S.$=r[r.length-E],S._$={first_line:a[a.length-(E||1)].first_line,last_line:a[a.length-1].last_line,first_column:a[a.length-(E||1)].first_column,last_column:a[a.length-1].last_column},w&&(S._$.range=[a[a.length-(E||1)].range[0],a[a.length-1].range[1]]),void 0!==(k=this.performAction.apply(S,[s,u,c,g.yy,x[1],r,a].concat(f))))return k;E&&(n=n.slice(0,-1*E*2),r=r.slice(0,-1*E),a=a.slice(0,-1*E)),n.push(this.productions_[x[1]][0]),r.push(S.$),a.push(S._$),T=o[n[n.length-2]][n[n.length-1]],n.push(T);break;case 3:return!0}}return!0}},K={EOF:1,parseError:function(t,e){if(!this.yy.parser)throw new Error(t);this.yy.parser.parseError(t,e)},setInput:function(t,e){return this.yy=e||this.yy||{},this._input=t,this._more=this._backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match="",this.conditionStack=["INITIAL"],this.yylloc={first_line:1,first_column:0,last_line:1,last_column:0},this.options.ranges&&(this.yylloc.range=[0,0]),this.offset=0,this},input:function(){var t=this._input[0];return this.yytext+=t,this.yyleng++,this.offset++,this.match+=t,this.matched+=t,t.match(/(?:\r\n?|\n).*/g)?(this.yylineno++,this.yylloc.last_line++):this.yylloc.last_column++,this.options.ranges&&this.yylloc.range[1]++,this._input=this._input.slice(1),t},unput:function(t){var e=t.length,n=t.split(/(?:\r\n?|\n)/g);this._input=t+this._input,this.yytext=this.yytext.substr(0,this.yytext.length-e),this.offset-=e;var i=this.match.split(/(?:\r\n?|\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),n.length-1&&(this.yylineno-=n.length-1);var r=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:n?(n.length===i.length?this.yylloc.first_column:0)+i[i.length-n.length].length-n[0].length:this.yylloc.first_column-e},this.options.ranges&&(this.yylloc.range=[r[0],r[0]+this.yyleng-e]),this.yyleng=this.yytext.length,this},more:function(){return this._more=!0,this},reject:function(){return this.options.backtrack_lexer?(this._backtrack=!0,this):this.parseError("Lexical error on line "+(this.yylineno+1)+". You can only invoke reject() in the lexer when the lexer is of the backtracking persuasion (options.backtrack_lexer = true).\n"+this.showPosition(),{text:"",token:null,line:this.yylineno})},less:function(t){this.unput(this.match.slice(t))},pastInput:function(){var t=this.matched.substr(0,this.matched.length-this.match.length);return(t.length>20?"...":"")+t.substr(-20).replace(/\n/g,"")},upcomingInput:function(){var t=this.match;return t.length<20&&(t+=this._input.substr(0,20-t.length)),(t.substr(0,20)+(t.length>20?"...":"")).replace(/\n/g,"")},showPosition:function(){var t=this.pastInput(),e=new Array(t.length+1).join("-");return t+this.upcomingInput()+"\n"+e+"^"},test_match:function(t,e){var n,i,r;if(this.options.backtrack_lexer&&(r={yylineno:this.yylineno,yylloc:{first_line:this.yylloc.first_line,last_line:this.last_line,first_column:this.yylloc.first_column,last_column:this.yylloc.last_column},yytext:this.yytext,match:this.match,matches:this.matches,matched:this.matched,yyleng:this.yyleng,offset:this.offset,_more:this._more,_input:this._input,yy:this.yy,conditionStack:this.conditionStack.slice(0),done:this.done},this.options.ranges&&(r.yylloc.range=this.yylloc.range.slice(0))),(i=t[0].match(/(?:\r\n?|\n).*/g))&&(this.yylineno+=i.length),this.yylloc={first_line:this.yylloc.last_line,last_line:this.yylineno+1,first_column:this.yylloc.last_column,last_column:i?i[i.length-1].length-i[i.length-1].match(/\r?\n?/)[0].length:this.yylloc.last_column+t[0].length},this.yytext+=t[0],this.match+=t[0],this.matches=t,this.yyleng=this.yytext.length,this.options.ranges&&(this.yylloc.range=[this.offset,this.offset+=this.yyleng]),this._more=!1,this._backtrack=!1,this._input=this._input.slice(t[0].length),this.matched+=t[0],n=this.performAction.call(this,this.yy,this,e,this.conditionStack[this.conditionStack.length-1]),this.done&&this._input&&(this.done=!1),n)return n;if(this._backtrack){for(var a in r)this[a]=r[a];return!1}return!1},next:function(){if(this.done)return this.EOF;var t,e,n,i;this._input||(this.done=!0),this._more||(this.yytext="",this.match="");for(var r=this._currentRules(),a=0;a<r.length;a++)if((n=this._input.match(this.rules[r[a]]))&&(!e||n[0].length>e[0].length)){if(e=n,i=a,this.options.backtrack_lexer){if(!1!==(t=this.test_match(n,r[a])))return t;if(this._backtrack){e=!1;continue}return!1}if(!this.options.flex)break}return e?!1!==(t=this.test_match(e,r[i]))&&t:""===this._input?this.EOF:this.parseError("Lexical error on line "+(this.yylineno+1)+". Unrecognized text.\n"+this.showPosition(),{text:"",token:null,line:this.yylineno})},lex:function(){var t=this.next();return t||this.lex()},begin:function(t){this.conditionStack.push(t)},popState:function(){return this.conditionStack.length-1>0?this.conditionStack.pop():this.conditionStack[0]},_currentRules:function(){return this.conditionStack.length&&this.conditionStack[this.conditionStack.length-1]?this.conditions[this.conditionStack[this.conditionStack.length-1]].rules:this.conditions.INITIAL.rules},topState:function(t){return(t=this.conditionStack.length-1-Math.abs(t||0))>=0?this.conditionStack[t]:"INITIAL"},pushState:function(t){this.begin(t)},stateStackSize:function(){return this.conditionStack.length},options:{},performAction:function(t,e,n,i){switch(n){case 0:return this.begin("open_directive"),19;case 1:return 8;case 2:return 9;case 3:return 10;case 4:return 11;case 5:return this.begin("type_directive"),20;case 6:return this.popState(),this.begin("arg_directive"),17;case 7:return this.popState(),this.popState(),22;case 8:return 21;case 9:case 10:case 19:case 34:case 39:case 43:case 50:break;case 11:return this.begin("acc_title"),44;case 12:return this.popState(),"acc_title_value";case 13:return this.begin("acc_descr"),46;case 14:return this.popState(),"acc_descr_value";case 15:this.begin("acc_descr_multiline");break;case 16:case 24:case 27:case 29:case 61:case 64:this.popState();break;case 17:return"acc_descr_multiline_value";case 18:case 38:return 16;case 20:case 21:return 23;case 22:case 40:case 48:return"EDGE_STATE";case 23:this.begin("callback_name");break;case 25:this.popState(),this.begin("callback_args");break;case 26:return 79;case 28:return 80;case 30:return"STR";case 31:this.begin("string");break;case 32:return this.begin("namespace"),53;case 33:case 42:return this.popState(),16;case 35:return this.begin("namespace-body"),50;case 36:case 46:return this.popState(),52;case 37:case 47:return"EOF_IN_STRUCT";case 41:return this.begin("class"),57;case 44:return this.popState(),this.popState(),52;case 45:return this.begin("class-body"),50;case 49:return"OPEN_IN_STRUCT";case 51:return"MEMBER";case 52:return 82;case 53:return 75;case 54:return 76;case 55:return 78;case 56:return 63;case 57:return 65;case 58:return 58;case 59:return 59;case 60:return 81;case 62:return"GENERICTYPE";case 63:this.begin("generic");break;case 65:return"BQUOTE_STR";case 66:this.begin("bqstring");break;case 67:case 68:case 69:case 70:return 77;case 71:case 72:return 69;case 73:case 74:return 71;case 75:return 70;case 76:return 68;case 77:return 72;case 78:return 73;case 79:return 74;case 80:return 36;case 81:return 55;case 82:return 94;case 83:return"DOT";case 84:return"PLUS";case 85:return 91;case 86:case 87:return"EQUALS";case 88:return 98;case 89:return 27;case 90:return 29;case 91:return"PUNCTUATION";case 92:return 97;case 93:return 96;case 94:return 93;case 95:return 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P(){this.yy={}}return O.lexer=N,P.prototype=O,O.Parser=P,new P}();r.parser=r;const a=r,o="TB",s="state",c="relation",u="default",l="divider",h="[*]",f="start",d="color",g="fill";let p="LR",b=[],w={};let y={root:{relations:[],states:{},documents:{}}},m=y.root,v=0,x=0;const k=t=>JSON.parse(JSON.stringify(t)),_=(t,e,n)=>{if(e.stmt===c)_(t,e.state1,!0),_(t,e.state2,!1);else if(e.stmt===s&&("[*]"===e.id?(e.id=n?t.id+"_start":t.id+"_end",e.start=n):e.id=e.id.trim()),e.doc){const t=[];let n,r=[];for(n=0;n<e.doc.length;n++)if(e.doc[n].type===l){const i=k(e.doc[n]);i.doc=k(r),t.push(i),r=[]}else r.push(e.doc[n]);if(t.length>0&&r.length>0){const n={stmt:s,id:(0,i.I)(),type:"divider",doc:k(r)};t.push(k(n)),e.doc=t}e.doc.forEach((t=>_(e,t,!0)))}},E=function(t,e=u,n=null,r=null,a=null,o=null,s=null,c=null){const l=null==t?void 0:t.trim();if(void 0===m.states[l]?(i.l.info("Adding state 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${t.stateBorder||t.nodeBorder};\n}\n\n.statediagram-state .title-state {\n  rx: 5px;\n  ry: 5px;\n}\n.statediagram-cluster.statediagram-cluster .inner {\n  fill: ${t.compositeBackground||t.background};\n}\n.statediagram-cluster.statediagram-cluster-alt .inner {\n  fill: ${t.altBackground?t.altBackground:"#efefef"};\n}\n\n.statediagram-cluster .inner {\n  rx:0;\n  ry:0;\n}\n\n.statediagram-state rect.basic {\n  rx: 5px;\n  ry: 5px;\n}\n.statediagram-state rect.divider {\n  stroke-dasharray: 10,10;\n  fill: ${t.altBackground?t.altBackground:"#efefef"};\n}\n\n.note-edge {\n  stroke-dasharray: 5;\n}\n\n.statediagram-note rect {\n  fill: ${t.noteBkgColor};\n  stroke: ${t.noteBorderColor};\n  stroke-width: 1px;\n  rx: 0;\n  ry: 0;\n}\n.statediagram-note rect {\n  fill: ${t.noteBkgColor};\n  stroke: ${t.noteBorderColor};\n  stroke-width: 1px;\n  rx: 0;\n  ry: 0;\n}\n\n.statediagram-note text {\n  fill: ${t.noteTextColor};\n}\n\n.statediagram-note .nodeLabel {\n  color: 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+  margin: 1em 40px;
+}
+
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+  box-sizing: content-box;
+  overflow: hidden;
+  background: transparent;
+  border-bottom: 1px solid var(--borderColor-muted, var(--color-border-muted));
+  height: .25em;
+  padding: 0;
+  margin: 24px 0;
+  background-color: var(--borderColor-default, var(--color-border-default));
+  border: 0;
+}
+
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+  font: inherit;
+  margin: 0;
+  overflow: visible;
+  font-family: inherit;
+  font-size: inherit;
+  line-height: inherit;
+}
+
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+.github-markdown-body [type=submit] {
+  -webkit-appearance: button;
+}
+
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+  box-sizing: border-box;
+  padding: 0;
+}
+
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+}
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+}
+
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+  color: inherit;
+  opacity: .54;
+}
+
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+  -webkit-appearance: button;
+  font: inherit;
+}
+
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+  text-decoration: underline;
+}
+
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+  color: var(--fgColor-muted, var(--color-fg-subtle));
+  opacity: 1;
+}
+
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+  content: "";
+}
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+  display: table;
+  clear: both;
+  content: "";
+}
+
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+  border-collapse: collapse;
+  display: block;
+  width: max-content;
+  max-width: 100%;
+  overflow: auto;
+}
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+}
+
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+  cursor: pointer;
+}
+
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+}
+
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+  outline: 2px solid var(--focus-outlineColor, var(--color-accent-fg));
+  outline-offset: -2px;
+  box-shadow: none;
+}
+
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+}
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+  outline: 2px solid var(--focus-outlineColor, var(--color-accent-fg));
+  outline-offset: -2px;
+  box-shadow: none;
+}
+
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+}
+
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+  display: inline-block;
+  padding: 3px 5px;
+  font: 11px ui-monospace,SFMono-Regular,SF Mono,Menlo,Consolas,Liberation Mono,monospace;
+  line-height: 10px;
+  color: var(--fgColor-default, var(--color-fg-default));
+  vertical-align: middle;
+  background-color: var(--bgColor-muted, var(--color-canvas-subtle));
+  border: solid 1px var(--borderColor-neutral-muted, var(--color-neutral-muted));
+  border-bottom-color: var(--borderColor-neutral-muted, var(--color-neutral-muted));
+  border-radius: 6px;
+  box-shadow: inset 0 -1px 0 var(--borderColor-neutral-muted, var(--color-neutral-muted));
+}
+
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+  margin-bottom: 16px;
+  font-weight: var(--base-text-weight-semibold, 600);
+  line-height: 1.25;
+}
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+  font-weight: var(--base-text-weight-semibold, 600);
+  padding-bottom: .3em;
+  font-size: 1.5em;
+  border-bottom: 1px solid var(--borderColor-muted, var(--color-border-muted));
+}
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+  font-size: 1.25em;
+}
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+  font-weight: var(--base-text-weight-semibold, 600);
+  font-size: 1em;
+}
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+  font-weight: var(--base-text-weight-semibold, 600);
+  font-size: .875em;
+}
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+  font-weight: var(--base-text-weight-semibold, 600);
+  font-size: .85em;
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+}
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+  margin-bottom: 10px;
+}
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+  padding: 0 1em;
+  color: var(--fgColor-muted, var(--color-fg-muted));
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+}
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+  margin-bottom: 0;
+  padding-left: 2em;
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+  font-size: 12px;
+}
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+  margin-bottom: 0;
+  font-family: ui-monospace,SFMono-Regular,SF Mono,Menlo,Consolas,Liberation Mono,monospace;
+  font-size: 12px;
+  word-wrap: normal;
+}
+
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+  display: inline-block;
+  overflow: visible !important;
+  vertical-align: text-bottom;
+  fill: currentColor;
+}
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+  -webkit-appearance: none;
+  appearance: none;
+}
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+}
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+  color: inherit;
+  text-decoration: none;
+}
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+  color: var(--fgColor-danger, var(--color-danger-fg));
+}
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+  float: left;
+  padding-right: 4px;
+  margin-left: -20px;
+  line-height: 1;
+}
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+  margin-bottom: 16px;
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+.github-markdown-body h5 .octicon-link,
+.github-markdown-body h6 .octicon-link {
+  color: var(--fgColor-default, var(--color-fg-default));
+  vertical-align: middle;
+  visibility: hidden;
+}
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+.github-markdown-body h4:hover .anchor,
+.github-markdown-body h5:hover .anchor,
+.github-markdown-body h6:hover .anchor {
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+}
+
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+.github-markdown-body h5:hover .anchor .octicon-link,
+.github-markdown-body h6:hover .anchor .octicon-link {
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+}
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+  font-size: inherit;
+}
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+
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+}
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+}
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+}
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+}
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+}
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+}
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+}
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+  margin-bottom: 0;
+}
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+}
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+  margin-top: 16px;
+  font-size: 1em;
+  font-style: italic;
+  font-weight: var(--base-text-weight-semibold, 600);
+}
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+  margin-bottom: 16px;
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+}
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+  border: 1px solid var(--borderColor-default, var(--color-border-default));
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+  border-top: 1px solid var(--borderColor-muted, var(--color-border-muted));
+}
+
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+}
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+}
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+  max-width: none;
+  vertical-align: text-top;
+  background-color: transparent;
+}
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+  overflow: hidden;
+}
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+  display: block;
+  float: left;
+  width: auto;
+  padding: 7px;
+  margin: 13px 0 0;
+  overflow: hidden;
+  border: 1px solid var(--borderColor-default, var(--color-border-default));
+}
+
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+  padding: 5px 0 0;
+  clear: both;
+  color: var(--fgColor-default, var(--color-fg-default));
+}
+
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+  margin: 13px auto 0;
+  overflow: hidden;
+  text-align: center;
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+  text-align: center;
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+  overflow: hidden;
+  clear: both;
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+  display: block;
+  margin: 13px 0 0;
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+  margin: 0;
+  text-align: right;
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+  display: block;
+  float: left;
+  margin-right: 13px;
+  overflow: hidden;
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+  float: right;
+  margin-left: 13px;
+  overflow: hidden;
+}
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+  display: block;
+  margin: 13px auto 0;
+  overflow: hidden;
+  text-align: right;
+}
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+  padding: .2em .4em;
+  margin: 0;
+  font-size: 85%;
+  white-space: break-spaces;
+  background-color: var(--bgColor-neutral-muted, var(--color-neutral-muted));
+  border-radius: 6px;
+}
+
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+
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+
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+  font-size: 85%;
+}
+
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+  font-size: 100%;
+}
+
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+  padding: 0;
+  margin: 0;
+  word-break: normal;
+  white-space: pre;
+  background: transparent;
+  border: 0;
+}
+
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+  margin-bottom: 16px;
+}
+
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+  margin-bottom: 0;
+  word-break: normal;
+}
+
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+  padding: 16px;
+  overflow: auto;
+  font-size: 85%;
+  line-height: 1.45;
+  color: var(--fgColor-default, var(--color-fg-default));
+  background-color: var(--bgColor-muted, var(--color-canvas-subtle));
+  border-radius: 6px;
+}
+
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+  display: inline;
+  max-width: auto;
+  padding: 0;
+  margin: 0;
+  overflow: visible;
+  line-height: inherit;
+  word-wrap: normal;
+  background-color: transparent;
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+}
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+  padding: 5px;
+  overflow: hidden;
+  font-size: 12px;
+  line-height: 1;
+  text-align: left;
+  white-space: nowrap;
+}
+
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+  text-align: right;
+  background: var(--bgColor-default, var(--color-canvas-default));
+  border: 0;
+}
+
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+}
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+  background: var(--bgColor-muted, var(--color-canvas-subtle));
+  border-top: 0;
+}
+
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+  content: "[";
+}
+
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+}
+
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+  font-size: 12px;
+  color: var(--fgColor-muted, var(--color-fg-muted));
+  border-top: 1px solid var(--borderColor-default, var(--color-border-default));
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+}
+
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+  padding-left: 16px;
+  margin-top: 16px;
+}
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+}
+
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+  top: -8px;
+  right: -8px;
+  bottom: -8px;
+  left: -24px;
+  pointer-events: none;
+  content: "";
+  border: 2px solid var(--borderColor-accent-emphasis, var(--color-accent-emphasis));
+  border-radius: 6px;
+}
+
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+  color: var(--fgColor-default, var(--color-fg-default));
+}
+
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+}
+
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+  border: initial solid;
+  border-color: initial;
+  border-image: initial;
+  color: initial;
+  height: fit-content;
+  inset: 0;
+  margin: auto;
+  overflow: auto;
+  padding: .25em;
+  position: fixed;
+  width: fit-content;
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+}
+
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+}
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+}
+
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+}
+
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+}
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+}
+
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+}
+
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+}
+
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+}
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+}
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+.github-markdown-body .pl-sr .pl-sra {
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+}
+
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+}
+
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+}
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+  background-color: var(--color-prettylights-syntax-invalid-illegal-bg);
+}
+
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+  background-color: var(--color-prettylights-syntax-carriage-return-bg);
+}
+
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+  font-weight: bold;
+  color: var(--color-prettylights-syntax-string-regexp);
+}
+
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+}
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+  font-weight: bold;
+  color: var(--color-prettylights-syntax-markup-heading);
+}
+
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+  font-style: italic;
+  color: var(--color-prettylights-syntax-markup-italic);
+}
+
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+  color: var(--color-prettylights-syntax-markup-bold);
+}
+
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+  color: var(--color-prettylights-syntax-markup-deleted-text);
+  background-color: var(--color-prettylights-syntax-markup-deleted-bg);
+}
+
+.github-markdown-body .pl-mi1 {
+  color: var(--color-prettylights-syntax-markup-inserted-text);
+  background-color: var(--color-prettylights-syntax-markup-inserted-bg);
+}
+
+.github-markdown-body .pl-mc {
+  color: var(--color-prettylights-syntax-markup-changed-text);
+  background-color: var(--color-prettylights-syntax-markup-changed-bg);
+}
+
+.github-markdown-body .pl-mi2 {
+  color: var(--color-prettylights-syntax-markup-ignored-text);
+  background-color: var(--color-prettylights-syntax-markup-ignored-bg);
+}
+
+.github-markdown-body .pl-mdr {
+  font-weight: bold;
+  color: var(--color-prettylights-syntax-meta-diff-range);
+}
+
+.github-markdown-body .pl-ba {
+  color: var(--color-prettylights-syntax-brackethighlighter-angle);
+}
+
+.github-markdown-body .pl-sg {
+  color: var(--color-prettylights-syntax-sublimelinter-gutter-mark);
+}
+
+.github-markdown-body .pl-corl {
+  text-decoration: underline;
+  color: var(--color-prettylights-syntax-constant-other-reference-link);
+}
+
+.github-markdown-body g-emoji {
+  display: inline-block;
+  min-width: 1ch;
+  font-family: "Apple Color Emoji","Segoe UI Emoji","Segoe UI Symbol";
+  font-size: 1em;
+  font-style: normal !important;
+  font-weight: var(--base-text-weight-normal, 400);
+  line-height: 1;
+  vertical-align: -0.075em;
+}
+
+.github-markdown-body g-emoji img {
+  width: 1em;
+  height: 1em;
+}
+
+.github-markdown-body .task-list-item {
+  list-style-type: none;
+}
+
+.github-markdown-body .task-list-item label {
+  font-weight: var(--base-text-weight-normal, 400);
+}
+
+.github-markdown-body .task-list-item.enabled label {
+  cursor: pointer;
+}
+
+.github-markdown-body .task-list-item+.task-list-item {
+  margin-top: 4px;
+}
+
+.github-markdown-body .task-list-item .handle {
+  display: none;
+}
+
+.github-markdown-body .task-list-item-checkbox {
+  margin: 0 .2em .25em -1.4em;
+  vertical-align: middle;
+}
+
+.github-markdown-body .contains-task-list:dir(rtl) .task-list-item-checkbox {
+  margin: 0 -1.6em .25em .2em;
+}
+
+.github-markdown-body .contains-task-list {
+  position: relative;
+}
+
+.github-markdown-body .contains-task-list:hover .task-list-item-convert-container,
+.github-markdown-body .contains-task-list:focus-within .task-list-item-convert-container {
+  display: block;
+  width: auto;
+  height: 24px;
+  overflow: visible;
+  clip: auto;
+}
+
+.github-markdown-body .QueryBuilder .qb-entity {
+  color: var(--color-prettylights-syntax-entity);
+}
+
+.github-markdown-body .QueryBuilder .qb-constant {
+  color: var(--color-prettylights-syntax-constant);
+}
+
+.github-markdown-body ::-webkit-calendar-picker-indicator {
+  filter: invert(50%);
+}
+[data-color-mode=light][data-light-theme=light],
+[data-color-mode=dark][data-dark-theme=light],
+.vscode-body.vscode-light [data-color-mode=auto][data-light-theme=light],
+.vscode-body.vscode-dark [data-color-mode=auto][data-dark-theme=light] {
+  /*light*/
+  color-scheme: light;
+  --color-prettylights-syntax-comment: #6e7781;
+  --color-prettylights-syntax-constant: #0550ae;
+  --color-prettylights-syntax-entity: #6639ba;
+  --color-prettylights-syntax-storage-modifier-import: #24292f;
+  --color-prettylights-syntax-entity-tag: #116329;
+  --color-prettylights-syntax-keyword: #cf222e;
+  --color-prettylights-syntax-string: #0a3069;
+  --color-prettylights-syntax-variable: #953800;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #82071e;
+  --color-prettylights-syntax-invalid-illegal-text: #f6f8fa;
+  --color-prettylights-syntax-invalid-illegal-bg: #82071e;
+  --color-prettylights-syntax-carriage-return-text: #f6f8fa;
+  --color-prettylights-syntax-carriage-return-bg: #cf222e;
+  --color-prettylights-syntax-string-regexp: #116329;
+  --color-prettylights-syntax-markup-list: #3b2300;
+  --color-prettylights-syntax-markup-heading: #0550ae;
+  --color-prettylights-syntax-markup-italic: #24292f;
+  --color-prettylights-syntax-markup-bold: #24292f;
+  --color-prettylights-syntax-markup-deleted-text: #82071e;
+  --color-prettylights-syntax-markup-deleted-bg: #ffebe9;
+  --color-prettylights-syntax-markup-inserted-text: #116329;
+  --color-prettylights-syntax-markup-inserted-bg: #dafbe1;
+  --color-prettylights-syntax-markup-changed-text: #953800;
+  --color-prettylights-syntax-markup-changed-bg: #ffd8b5;
+  --color-prettylights-syntax-markup-ignored-text: #eaeef2;
+  --color-prettylights-syntax-markup-ignored-bg: #0550ae;
+  --color-prettylights-syntax-meta-diff-range: #8250df;
+  --color-prettylights-syntax-brackethighlighter-angle: #57606a;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #8c959f;
+  --color-prettylights-syntax-constant-other-reference-link: #0a3069;
+  --color-fg-default: #1F2328;
+  --color-fg-muted: #656d76;
+  --color-fg-subtle: #6e7781;
+  --color-canvas-default: #ffffff;
+  --color-canvas-subtle: #f6f8fa;
+  --color-border-default: #d0d7de;
+  --color-border-muted: hsla(210,18%,87%,1);
+  --color-neutral-muted: rgba(175,184,193,0.2);
+  --color-accent-fg: #0969da;
+  --color-accent-emphasis: #0969da;
+  --color-attention-subtle: #fff8c5;
+  --color-danger-fg: #d1242f;
+  --color-prettylights-syntax-comment: #6e7781;
+  --color-prettylights-syntax-constant: #0550ae;
+  --color-prettylights-syntax-entity: #6639ba;
+  --color-prettylights-syntax-storage-modifier-import: #24292f;
+  --color-prettylights-syntax-entity-tag: #116329;
+  --color-prettylights-syntax-keyword: #cf222e;
+  --color-prettylights-syntax-string: #0a3069;
+  --color-prettylights-syntax-variable: #953800;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #82071e;
+  --color-prettylights-syntax-invalid-illegal-text: #f6f8fa;
+  --color-prettylights-syntax-invalid-illegal-bg: #82071e;
+  --color-prettylights-syntax-carriage-return-text: #f6f8fa;
+  --color-prettylights-syntax-carriage-return-bg: #cf222e;
+  --color-prettylights-syntax-string-regexp: #116329;
+  --color-prettylights-syntax-markup-list: #3b2300;
+  --color-prettylights-syntax-markup-heading: #0550ae;
+  --color-prettylights-syntax-markup-italic: #24292f;
+  --color-prettylights-syntax-markup-bold: #24292f;
+  --color-prettylights-syntax-markup-deleted-text: #82071e;
+  --color-prettylights-syntax-markup-deleted-bg: #ffebe9;
+  --color-prettylights-syntax-markup-inserted-text: #116329;
+  --color-prettylights-syntax-markup-inserted-bg: #dafbe1;
+  --color-prettylights-syntax-markup-changed-text: #953800;
+  --color-prettylights-syntax-markup-changed-bg: #ffd8b5;
+  --color-prettylights-syntax-markup-ignored-text: #eaeef2;
+  --color-prettylights-syntax-markup-ignored-bg: #0550ae;
+  --color-prettylights-syntax-meta-diff-range: #8250df;
+  --color-prettylights-syntax-brackethighlighter-angle: #57606a;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #8c959f;
+  --color-prettylights-syntax-constant-other-reference-link: #0a3069;
+  --color-fg-default: #1F2328;
+  --color-fg-muted: #656d76;
+  --color-fg-subtle: #6e7781;
+  --color-canvas-default: #ffffff;
+  --color-canvas-subtle: #f6f8fa;
+  --color-border-default: #d0d7de;
+  --color-border-muted: hsla(210,18%,87%,1);
+  --color-neutral-muted: rgba(175,184,193,0.2);
+  --color-accent-fg: #0969da;
+  --color-accent-emphasis: #0969da;
+  --color-attention-subtle: #fff8c5;
+  --color-danger-fg: #d1242f;
+  --color-prettylights-syntax-comment: #6e7781;
+  --color-prettylights-syntax-constant: #0550ae;
+  --color-prettylights-syntax-entity: #6639ba;
+  --color-prettylights-syntax-storage-modifier-import: #24292f;
+  --color-prettylights-syntax-entity-tag: #116329;
+  --color-prettylights-syntax-keyword: #cf222e;
+  --color-prettylights-syntax-string: #0a3069;
+  --color-prettylights-syntax-variable: #953800;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #82071e;
+  --color-prettylights-syntax-invalid-illegal-text: #f6f8fa;
+  --color-prettylights-syntax-invalid-illegal-bg: #82071e;
+  --color-prettylights-syntax-carriage-return-text: #f6f8fa;
+  --color-prettylights-syntax-carriage-return-bg: #cf222e;
+  --color-prettylights-syntax-string-regexp: #116329;
+  --color-prettylights-syntax-markup-list: #3b2300;
+  --color-prettylights-syntax-markup-heading: #0550ae;
+  --color-prettylights-syntax-markup-italic: #24292f;
+  --color-prettylights-syntax-markup-bold: #24292f;
+  --color-prettylights-syntax-markup-deleted-text: #82071e;
+  --color-prettylights-syntax-markup-deleted-bg: #ffebe9;
+  --color-prettylights-syntax-markup-inserted-text: #116329;
+  --color-prettylights-syntax-markup-inserted-bg: #dafbe1;
+  --color-prettylights-syntax-markup-changed-text: #953800;
+  --color-prettylights-syntax-markup-changed-bg: #ffd8b5;
+  --color-prettylights-syntax-markup-ignored-text: #eaeef2;
+  --color-prettylights-syntax-markup-ignored-bg: #0550ae;
+  --color-prettylights-syntax-meta-diff-range: #8250df;
+  --color-prettylights-syntax-brackethighlighter-angle: #57606a;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #8c959f;
+  --color-prettylights-syntax-constant-other-reference-link: #0a3069;
+  --color-fg-default: #1F2328;
+  --color-fg-muted: #656d76;
+  --color-fg-subtle: #6e7781;
+  --color-canvas-default: #ffffff;
+  --color-canvas-subtle: #f6f8fa;
+  --color-border-default: #d0d7de;
+  --color-border-muted: hsla(210,18%,87%,1);
+  --color-neutral-muted: rgba(175,184,193,0.2);
+  --color-accent-fg: #0969da;
+  --color-accent-emphasis: #0969da;
+  --color-attention-subtle: #fff8c5;
+  --color-danger-fg: #d1242f;
+}
+@media (prefers-color-scheme: light) {
+  [data-color-mode='system'][data-light-theme=light] {
+  /*light*/
+  color-scheme: light;
+  --color-prettylights-syntax-comment: #6e7781;
+  --color-prettylights-syntax-constant: #0550ae;
+  --color-prettylights-syntax-entity: #6639ba;
+  --color-prettylights-syntax-storage-modifier-import: #24292f;
+  --color-prettylights-syntax-entity-tag: #116329;
+  --color-prettylights-syntax-keyword: #cf222e;
+  --color-prettylights-syntax-string: #0a3069;
+  --color-prettylights-syntax-variable: #953800;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #82071e;
+  --color-prettylights-syntax-invalid-illegal-text: #f6f8fa;
+  --color-prettylights-syntax-invalid-illegal-bg: #82071e;
+  --color-prettylights-syntax-carriage-return-text: #f6f8fa;
+  --color-prettylights-syntax-carriage-return-bg: #cf222e;
+  --color-prettylights-syntax-string-regexp: #116329;
+  --color-prettylights-syntax-markup-list: #3b2300;
+  --color-prettylights-syntax-markup-heading: #0550ae;
+  --color-prettylights-syntax-markup-italic: #24292f;
+  --color-prettylights-syntax-markup-bold: #24292f;
+  --color-prettylights-syntax-markup-deleted-text: #82071e;
+  --color-prettylights-syntax-markup-deleted-bg: #ffebe9;
+  --color-prettylights-syntax-markup-inserted-text: #116329;
+  --color-prettylights-syntax-markup-inserted-bg: #dafbe1;
+  --color-prettylights-syntax-markup-changed-text: #953800;
+  --color-prettylights-syntax-markup-changed-bg: #ffd8b5;
+  --color-prettylights-syntax-markup-ignored-text: #eaeef2;
+  --color-prettylights-syntax-markup-ignored-bg: #0550ae;
+  --color-prettylights-syntax-meta-diff-range: #8250df;
+  --color-prettylights-syntax-brackethighlighter-angle: #57606a;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #8c959f;
+  --color-prettylights-syntax-constant-other-reference-link: #0a3069;
+  --color-fg-default: #1F2328;
+  --color-fg-muted: #656d76;
+  --color-fg-subtle: #6e7781;
+  --color-canvas-default: #ffffff;
+  --color-canvas-subtle: #f6f8fa;
+  --color-border-default: #d0d7de;
+  --color-border-muted: hsla(210,18%,87%,1);
+  --color-neutral-muted: rgba(175,184,193,0.2);
+  --color-accent-fg: #0969da;
+  --color-accent-emphasis: #0969da;
+  --color-attention-subtle: #fff8c5;
+  --color-danger-fg: #d1242f;
+  --color-prettylights-syntax-comment: #6e7781;
+  --color-prettylights-syntax-constant: #0550ae;
+  --color-prettylights-syntax-entity: #6639ba;
+  --color-prettylights-syntax-storage-modifier-import: #24292f;
+  --color-prettylights-syntax-entity-tag: #116329;
+  --color-prettylights-syntax-keyword: #cf222e;
+  --color-prettylights-syntax-string: #0a3069;
+  --color-prettylights-syntax-variable: #953800;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #82071e;
+  --color-prettylights-syntax-invalid-illegal-text: #f6f8fa;
+  --color-prettylights-syntax-invalid-illegal-bg: #82071e;
+  --color-prettylights-syntax-carriage-return-text: #f6f8fa;
+  --color-prettylights-syntax-carriage-return-bg: #cf222e;
+  --color-prettylights-syntax-string-regexp: #116329;
+  --color-prettylights-syntax-markup-list: #3b2300;
+  --color-prettylights-syntax-markup-heading: #0550ae;
+  --color-prettylights-syntax-markup-italic: #24292f;
+  --color-prettylights-syntax-markup-bold: #24292f;
+  --color-prettylights-syntax-markup-deleted-text: #82071e;
+  --color-prettylights-syntax-markup-deleted-bg: #ffebe9;
+  --color-prettylights-syntax-markup-inserted-text: #116329;
+  --color-prettylights-syntax-markup-inserted-bg: #dafbe1;
+  --color-prettylights-syntax-markup-changed-text: #953800;
+  --color-prettylights-syntax-markup-changed-bg: #ffd8b5;
+  --color-prettylights-syntax-markup-ignored-text: #eaeef2;
+  --color-prettylights-syntax-markup-ignored-bg: #0550ae;
+  --color-prettylights-syntax-meta-diff-range: #8250df;
+  --color-prettylights-syntax-brackethighlighter-angle: #57606a;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #8c959f;
+  --color-prettylights-syntax-constant-other-reference-link: #0a3069;
+  --color-fg-default: #1F2328;
+  --color-fg-muted: #656d76;
+  --color-fg-subtle: #6e7781;
+  --color-canvas-default: #ffffff;
+  --color-canvas-subtle: #f6f8fa;
+  --color-border-default: #d0d7de;
+  --color-border-muted: hsla(210,18%,87%,1);
+  --color-neutral-muted: rgba(175,184,193,0.2);
+  --color-accent-fg: #0969da;
+  --color-accent-emphasis: #0969da;
+  --color-attention-subtle: #fff8c5;
+  --color-danger-fg: #d1242f;
+  --color-prettylights-syntax-comment: #6e7781;
+  --color-prettylights-syntax-constant: #0550ae;
+  --color-prettylights-syntax-entity: #6639ba;
+  --color-prettylights-syntax-storage-modifier-import: #24292f;
+  --color-prettylights-syntax-entity-tag: #116329;
+  --color-prettylights-syntax-keyword: #cf222e;
+  --color-prettylights-syntax-string: #0a3069;
+  --color-prettylights-syntax-variable: #953800;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #82071e;
+  --color-prettylights-syntax-invalid-illegal-text: #f6f8fa;
+  --color-prettylights-syntax-invalid-illegal-bg: #82071e;
+  --color-prettylights-syntax-carriage-return-text: #f6f8fa;
+  --color-prettylights-syntax-carriage-return-bg: #cf222e;
+  --color-prettylights-syntax-string-regexp: #116329;
+  --color-prettylights-syntax-markup-list: #3b2300;
+  --color-prettylights-syntax-markup-heading: #0550ae;
+  --color-prettylights-syntax-markup-italic: #24292f;
+  --color-prettylights-syntax-markup-bold: #24292f;
+  --color-prettylights-syntax-markup-deleted-text: #82071e;
+  --color-prettylights-syntax-markup-deleted-bg: #ffebe9;
+  --color-prettylights-syntax-markup-inserted-text: #116329;
+  --color-prettylights-syntax-markup-inserted-bg: #dafbe1;
+  --color-prettylights-syntax-markup-changed-text: #953800;
+  --color-prettylights-syntax-markup-changed-bg: #ffd8b5;
+  --color-prettylights-syntax-markup-ignored-text: #eaeef2;
+  --color-prettylights-syntax-markup-ignored-bg: #0550ae;
+  --color-prettylights-syntax-meta-diff-range: #8250df;
+  --color-prettylights-syntax-brackethighlighter-angle: #57606a;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #8c959f;
+  --color-prettylights-syntax-constant-other-reference-link: #0a3069;
+  --color-fg-default: #1F2328;
+  --color-fg-muted: #656d76;
+  --color-fg-subtle: #6e7781;
+  --color-canvas-default: #ffffff;
+  --color-canvas-subtle: #f6f8fa;
+  --color-border-default: #d0d7de;
+  --color-border-muted: hsla(210,18%,87%,1);
+  --color-neutral-muted: rgba(175,184,193,0.2);
+  --color-accent-fg: #0969da;
+  --color-accent-emphasis: #0969da;
+  --color-attention-subtle: #fff8c5;
+  --color-danger-fg: #d1242f;
+}
+}
+
+@media (prefers-color-scheme: dark) {
+  [data-color-mode='system'][data-dark-theme=light] {
+  /*light*/
+  color-scheme: light;
+  --color-prettylights-syntax-comment: #6e7781;
+  --color-prettylights-syntax-constant: #0550ae;
+  --color-prettylights-syntax-entity: #6639ba;
+  --color-prettylights-syntax-storage-modifier-import: #24292f;
+  --color-prettylights-syntax-entity-tag: #116329;
+  --color-prettylights-syntax-keyword: #cf222e;
+  --color-prettylights-syntax-string: #0a3069;
+  --color-prettylights-syntax-variable: #953800;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #82071e;
+  --color-prettylights-syntax-invalid-illegal-text: #f6f8fa;
+  --color-prettylights-syntax-invalid-illegal-bg: #82071e;
+  --color-prettylights-syntax-carriage-return-text: #f6f8fa;
+  --color-prettylights-syntax-carriage-return-bg: #cf222e;
+  --color-prettylights-syntax-string-regexp: #116329;
+  --color-prettylights-syntax-markup-list: #3b2300;
+  --color-prettylights-syntax-markup-heading: #0550ae;
+  --color-prettylights-syntax-markup-italic: #24292f;
+  --color-prettylights-syntax-markup-bold: #24292f;
+  --color-prettylights-syntax-markup-deleted-text: #82071e;
+  --color-prettylights-syntax-markup-deleted-bg: #ffebe9;
+  --color-prettylights-syntax-markup-inserted-text: #116329;
+  --color-prettylights-syntax-markup-inserted-bg: #dafbe1;
+  --color-prettylights-syntax-markup-changed-text: #953800;
+  --color-prettylights-syntax-markup-changed-bg: #ffd8b5;
+  --color-prettylights-syntax-markup-ignored-text: #eaeef2;
+  --color-prettylights-syntax-markup-ignored-bg: #0550ae;
+  --color-prettylights-syntax-meta-diff-range: #8250df;
+  --color-prettylights-syntax-brackethighlighter-angle: #57606a;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #8c959f;
+  --color-prettylights-syntax-constant-other-reference-link: #0a3069;
+  --color-fg-default: #1F2328;
+  --color-fg-muted: #656d76;
+  --color-fg-subtle: #6e7781;
+  --color-canvas-default: #ffffff;
+  --color-canvas-subtle: #f6f8fa;
+  --color-border-default: #d0d7de;
+  --color-border-muted: hsla(210,18%,87%,1);
+  --color-neutral-muted: rgba(175,184,193,0.2);
+  --color-accent-fg: #0969da;
+  --color-accent-emphasis: #0969da;
+  --color-attention-subtle: #fff8c5;
+  --color-danger-fg: #d1242f;
+  --color-prettylights-syntax-comment: #6e7781;
+  --color-prettylights-syntax-constant: #0550ae;
+  --color-prettylights-syntax-entity: #6639ba;
+  --color-prettylights-syntax-storage-modifier-import: #24292f;
+  --color-prettylights-syntax-entity-tag: #116329;
+  --color-prettylights-syntax-keyword: #cf222e;
+  --color-prettylights-syntax-string: #0a3069;
+  --color-prettylights-syntax-variable: #953800;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #82071e;
+  --color-prettylights-syntax-invalid-illegal-text: #f6f8fa;
+  --color-prettylights-syntax-invalid-illegal-bg: #82071e;
+  --color-prettylights-syntax-carriage-return-text: #f6f8fa;
+  --color-prettylights-syntax-carriage-return-bg: #cf222e;
+  --color-prettylights-syntax-string-regexp: #116329;
+  --color-prettylights-syntax-markup-list: #3b2300;
+  --color-prettylights-syntax-markup-heading: #0550ae;
+  --color-prettylights-syntax-markup-italic: #24292f;
+  --color-prettylights-syntax-markup-bold: #24292f;
+  --color-prettylights-syntax-markup-deleted-text: #82071e;
+  --color-prettylights-syntax-markup-deleted-bg: #ffebe9;
+  --color-prettylights-syntax-markup-inserted-text: #116329;
+  --color-prettylights-syntax-markup-inserted-bg: #dafbe1;
+  --color-prettylights-syntax-markup-changed-text: #953800;
+  --color-prettylights-syntax-markup-changed-bg: #ffd8b5;
+  --color-prettylights-syntax-markup-ignored-text: #eaeef2;
+  --color-prettylights-syntax-markup-ignored-bg: #0550ae;
+  --color-prettylights-syntax-meta-diff-range: #8250df;
+  --color-prettylights-syntax-brackethighlighter-angle: #57606a;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #8c959f;
+  --color-prettylights-syntax-constant-other-reference-link: #0a3069;
+  --color-fg-default: #1F2328;
+  --color-fg-muted: #656d76;
+  --color-fg-subtle: #6e7781;
+  --color-canvas-default: #ffffff;
+  --color-canvas-subtle: #f6f8fa;
+  --color-border-default: #d0d7de;
+  --color-border-muted: hsla(210,18%,87%,1);
+  --color-neutral-muted: rgba(175,184,193,0.2);
+  --color-accent-fg: #0969da;
+  --color-accent-emphasis: #0969da;
+  --color-attention-subtle: #fff8c5;
+  --color-danger-fg: #d1242f;
+  --color-prettylights-syntax-comment: #6e7781;
+  --color-prettylights-syntax-constant: #0550ae;
+  --color-prettylights-syntax-entity: #6639ba;
+  --color-prettylights-syntax-storage-modifier-import: #24292f;
+  --color-prettylights-syntax-entity-tag: #116329;
+  --color-prettylights-syntax-keyword: #cf222e;
+  --color-prettylights-syntax-string: #0a3069;
+  --color-prettylights-syntax-variable: #953800;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #82071e;
+  --color-prettylights-syntax-invalid-illegal-text: #f6f8fa;
+  --color-prettylights-syntax-invalid-illegal-bg: #82071e;
+  --color-prettylights-syntax-carriage-return-text: #f6f8fa;
+  --color-prettylights-syntax-carriage-return-bg: #cf222e;
+  --color-prettylights-syntax-string-regexp: #116329;
+  --color-prettylights-syntax-markup-list: #3b2300;
+  --color-prettylights-syntax-markup-heading: #0550ae;
+  --color-prettylights-syntax-markup-italic: #24292f;
+  --color-prettylights-syntax-markup-bold: #24292f;
+  --color-prettylights-syntax-markup-deleted-text: #82071e;
+  --color-prettylights-syntax-markup-deleted-bg: #ffebe9;
+  --color-prettylights-syntax-markup-inserted-text: #116329;
+  --color-prettylights-syntax-markup-inserted-bg: #dafbe1;
+  --color-prettylights-syntax-markup-changed-text: #953800;
+  --color-prettylights-syntax-markup-changed-bg: #ffd8b5;
+  --color-prettylights-syntax-markup-ignored-text: #eaeef2;
+  --color-prettylights-syntax-markup-ignored-bg: #0550ae;
+  --color-prettylights-syntax-meta-diff-range: #8250df;
+  --color-prettylights-syntax-brackethighlighter-angle: #57606a;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #8c959f;
+  --color-prettylights-syntax-constant-other-reference-link: #0a3069;
+  --color-fg-default: #1F2328;
+  --color-fg-muted: #656d76;
+  --color-fg-subtle: #6e7781;
+  --color-canvas-default: #ffffff;
+  --color-canvas-subtle: #f6f8fa;
+  --color-border-default: #d0d7de;
+  --color-border-muted: hsla(210,18%,87%,1);
+  --color-neutral-muted: rgba(175,184,193,0.2);
+  --color-accent-fg: #0969da;
+  --color-accent-emphasis: #0969da;
+  --color-attention-subtle: #fff8c5;
+  --color-danger-fg: #d1242f;
+}
+}
+
+[data-color-mode=light][data-light-theme=light_colorblind],
+[data-color-mode=dark][data-dark-theme=light_colorblind],
+.vscode-body.vscode-light [data-color-mode=auto][data-light-theme=light_colorblind],
+.vscode-body.vscode-dark [data-color-mode=auto][data-dark-theme=light_colorblind] {
+  /*light_colorblind*/
+  color-scheme: light;
+  --color-prettylights-syntax-comment: #6e7781;
+  --color-prettylights-syntax-constant: #0550ae;
+  --color-prettylights-syntax-entity: #6639ba;
+  --color-prettylights-syntax-storage-modifier-import: #24292f;
+  --color-prettylights-syntax-entity-tag: #0550ae;
+  --color-prettylights-syntax-keyword: #b35900;
+  --color-prettylights-syntax-string: #0a3069;
+  --color-prettylights-syntax-variable: #8a4600;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #6f3800;
+  --color-prettylights-syntax-invalid-illegal-text: #f6f8fa;
+  --color-prettylights-syntax-invalid-illegal-bg: #6f3800;
+  --color-prettylights-syntax-carriage-return-text: #f6f8fa;
+  --color-prettylights-syntax-carriage-return-bg: #b35900;
+  --color-prettylights-syntax-string-regexp: #0550ae;
+  --color-prettylights-syntax-markup-list: #3b2300;
+  --color-prettylights-syntax-markup-heading: #0550ae;
+  --color-prettylights-syntax-markup-italic: #24292f;
+  --color-prettylights-syntax-markup-bold: #24292f;
+  --color-prettylights-syntax-markup-deleted-text: #6f3800;
+  --color-prettylights-syntax-markup-deleted-bg: #fff5e8;
+  --color-prettylights-syntax-markup-inserted-text: #0550ae;
+  --color-prettylights-syntax-markup-inserted-bg: #ddf4ff;
+  --color-prettylights-syntax-markup-changed-text: #8a4600;
+  --color-prettylights-syntax-markup-changed-bg: #ffddb0;
+  --color-prettylights-syntax-markup-ignored-text: #eaeef2;
+  --color-prettylights-syntax-markup-ignored-bg: #0550ae;
+  --color-prettylights-syntax-meta-diff-range: #8250df;
+  --color-prettylights-syntax-brackethighlighter-angle: #57606a;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #8c959f;
+  --color-prettylights-syntax-constant-other-reference-link: #0a3069;
+  --color-fg-default: #24292f;
+  --color-fg-muted: #57606a;
+  --color-fg-subtle: #6e7781;
+  --color-canvas-default: #ffffff;
+  --color-canvas-subtle: #f6f8fa;
+  --color-border-default: #d0d7de;
+  --color-border-muted: hsla(210,18%,87%,1);
+  --color-neutral-muted: rgba(175,184,193,0.2);
+  --color-accent-fg: #0969da;
+  --color-accent-emphasis: #0969da;
+  --color-attention-subtle: #fff8c5;
+  --color-danger-fg: #b35900;
+}
+@media (prefers-color-scheme: light) {
+  [data-color-mode='system'][data-light-theme=light_colorblind] {
+  /*light_colorblind*/
+  color-scheme: light;
+  --color-prettylights-syntax-comment: #6e7781;
+  --color-prettylights-syntax-constant: #0550ae;
+  --color-prettylights-syntax-entity: #6639ba;
+  --color-prettylights-syntax-storage-modifier-import: #24292f;
+  --color-prettylights-syntax-entity-tag: #0550ae;
+  --color-prettylights-syntax-keyword: #b35900;
+  --color-prettylights-syntax-string: #0a3069;
+  --color-prettylights-syntax-variable: #8a4600;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #6f3800;
+  --color-prettylights-syntax-invalid-illegal-text: #f6f8fa;
+  --color-prettylights-syntax-invalid-illegal-bg: #6f3800;
+  --color-prettylights-syntax-carriage-return-text: #f6f8fa;
+  --color-prettylights-syntax-carriage-return-bg: #b35900;
+  --color-prettylights-syntax-string-regexp: #0550ae;
+  --color-prettylights-syntax-markup-list: #3b2300;
+  --color-prettylights-syntax-markup-heading: #0550ae;
+  --color-prettylights-syntax-markup-italic: #24292f;
+  --color-prettylights-syntax-markup-bold: #24292f;
+  --color-prettylights-syntax-markup-deleted-text: #6f3800;
+  --color-prettylights-syntax-markup-deleted-bg: #fff5e8;
+  --color-prettylights-syntax-markup-inserted-text: #0550ae;
+  --color-prettylights-syntax-markup-inserted-bg: #ddf4ff;
+  --color-prettylights-syntax-markup-changed-text: #8a4600;
+  --color-prettylights-syntax-markup-changed-bg: #ffddb0;
+  --color-prettylights-syntax-markup-ignored-text: #eaeef2;
+  --color-prettylights-syntax-markup-ignored-bg: #0550ae;
+  --color-prettylights-syntax-meta-diff-range: #8250df;
+  --color-prettylights-syntax-brackethighlighter-angle: #57606a;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #8c959f;
+  --color-prettylights-syntax-constant-other-reference-link: #0a3069;
+  --color-fg-default: #24292f;
+  --color-fg-muted: #57606a;
+  --color-fg-subtle: #6e7781;
+  --color-canvas-default: #ffffff;
+  --color-canvas-subtle: #f6f8fa;
+  --color-border-default: #d0d7de;
+  --color-border-muted: hsla(210,18%,87%,1);
+  --color-neutral-muted: rgba(175,184,193,0.2);
+  --color-accent-fg: #0969da;
+  --color-accent-emphasis: #0969da;
+  --color-attention-subtle: #fff8c5;
+  --color-danger-fg: #b35900;
+}
+}
+
+@media (prefers-color-scheme: dark) {
+  [data-color-mode='system'][data-dark-theme=light_colorblind] {
+  /*light_colorblind*/
+  color-scheme: light;
+  --color-prettylights-syntax-comment: #6e7781;
+  --color-prettylights-syntax-constant: #0550ae;
+  --color-prettylights-syntax-entity: #6639ba;
+  --color-prettylights-syntax-storage-modifier-import: #24292f;
+  --color-prettylights-syntax-entity-tag: #0550ae;
+  --color-prettylights-syntax-keyword: #b35900;
+  --color-prettylights-syntax-string: #0a3069;
+  --color-prettylights-syntax-variable: #8a4600;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #6f3800;
+  --color-prettylights-syntax-invalid-illegal-text: #f6f8fa;
+  --color-prettylights-syntax-invalid-illegal-bg: #6f3800;
+  --color-prettylights-syntax-carriage-return-text: #f6f8fa;
+  --color-prettylights-syntax-carriage-return-bg: #b35900;
+  --color-prettylights-syntax-string-regexp: #0550ae;
+  --color-prettylights-syntax-markup-list: #3b2300;
+  --color-prettylights-syntax-markup-heading: #0550ae;
+  --color-prettylights-syntax-markup-italic: #24292f;
+  --color-prettylights-syntax-markup-bold: #24292f;
+  --color-prettylights-syntax-markup-deleted-text: #6f3800;
+  --color-prettylights-syntax-markup-deleted-bg: #fff5e8;
+  --color-prettylights-syntax-markup-inserted-text: #0550ae;
+  --color-prettylights-syntax-markup-inserted-bg: #ddf4ff;
+  --color-prettylights-syntax-markup-changed-text: #8a4600;
+  --color-prettylights-syntax-markup-changed-bg: #ffddb0;
+  --color-prettylights-syntax-markup-ignored-text: #eaeef2;
+  --color-prettylights-syntax-markup-ignored-bg: #0550ae;
+  --color-prettylights-syntax-meta-diff-range: #8250df;
+  --color-prettylights-syntax-brackethighlighter-angle: #57606a;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #8c959f;
+  --color-prettylights-syntax-constant-other-reference-link: #0a3069;
+  --color-fg-default: #24292f;
+  --color-fg-muted: #57606a;
+  --color-fg-subtle: #6e7781;
+  --color-canvas-default: #ffffff;
+  --color-canvas-subtle: #f6f8fa;
+  --color-border-default: #d0d7de;
+  --color-border-muted: hsla(210,18%,87%,1);
+  --color-neutral-muted: rgba(175,184,193,0.2);
+  --color-accent-fg: #0969da;
+  --color-accent-emphasis: #0969da;
+  --color-attention-subtle: #fff8c5;
+  --color-danger-fg: #b35900;
+}
+}
+
+[data-color-mode=light][data-light-theme=light_tritanopia],
+[data-color-mode=dark][data-dark-theme=light_tritanopia],
+.vscode-body.vscode-light [data-color-mode=auto][data-light-theme=light_tritanopia],
+.vscode-body.vscode-dark [data-color-mode=auto][data-dark-theme=light_tritanopia] {
+  /*light_tritanopia*/
+  color-scheme: light;
+  --color-prettylights-syntax-comment: #6e7781;
+  --color-prettylights-syntax-constant: #0550ae;
+  --color-prettylights-syntax-entity: #6639ba;
+  --color-prettylights-syntax-storage-modifier-import: #24292f;
+  --color-prettylights-syntax-entity-tag: #0550ae;
+  --color-prettylights-syntax-keyword: #cf222e;
+  --color-prettylights-syntax-string: #0a3069;
+  --color-prettylights-syntax-variable: #a40e26;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #82071e;
+  --color-prettylights-syntax-invalid-illegal-text: #f6f8fa;
+  --color-prettylights-syntax-invalid-illegal-bg: #82071e;
+  --color-prettylights-syntax-carriage-return-text: #f6f8fa;
+  --color-prettylights-syntax-carriage-return-bg: #cf222e;
+  --color-prettylights-syntax-string-regexp: #0550ae;
+  --color-prettylights-syntax-markup-list: #3b2300;
+  --color-prettylights-syntax-markup-heading: #0550ae;
+  --color-prettylights-syntax-markup-italic: #24292f;
+  --color-prettylights-syntax-markup-bold: #24292f;
+  --color-prettylights-syntax-markup-deleted-text: #82071e;
+  --color-prettylights-syntax-markup-deleted-bg: #ffebe9;
+  --color-prettylights-syntax-markup-inserted-text: #0550ae;
+  --color-prettylights-syntax-markup-inserted-bg: #ddf4ff;
+  --color-prettylights-syntax-markup-changed-text: #a40e26;
+  --color-prettylights-syntax-markup-changed-bg: #ffcecb;
+  --color-prettylights-syntax-markup-ignored-text: #eaeef2;
+  --color-prettylights-syntax-markup-ignored-bg: #0550ae;
+  --color-prettylights-syntax-meta-diff-range: #8250df;
+  --color-prettylights-syntax-brackethighlighter-angle: #57606a;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #8c959f;
+  --color-prettylights-syntax-constant-other-reference-link: #0a3069;
+  --color-fg-default: #24292f;
+  --color-fg-muted: #57606a;
+  --color-fg-subtle: #6e7781;
+  --color-canvas-default: #ffffff;
+  --color-canvas-subtle: #f6f8fa;
+  --color-border-default: #d0d7de;
+  --color-border-muted: hsla(210,18%,87%,1);
+  --color-neutral-muted: rgba(175,184,193,0.2);
+  --color-accent-fg: #0969da;
+  --color-accent-emphasis: #0969da;
+  --color-attention-subtle: #fff8c5;
+  --color-danger-fg: #cf222e;
+}
+@media (prefers-color-scheme: light) {
+  [data-color-mode='system'][data-light-theme=light_tritanopia] {
+  /*light_tritanopia*/
+  color-scheme: light;
+  --color-prettylights-syntax-comment: #6e7781;
+  --color-prettylights-syntax-constant: #0550ae;
+  --color-prettylights-syntax-entity: #6639ba;
+  --color-prettylights-syntax-storage-modifier-import: #24292f;
+  --color-prettylights-syntax-entity-tag: #0550ae;
+  --color-prettylights-syntax-keyword: #cf222e;
+  --color-prettylights-syntax-string: #0a3069;
+  --color-prettylights-syntax-variable: #a40e26;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #82071e;
+  --color-prettylights-syntax-invalid-illegal-text: #f6f8fa;
+  --color-prettylights-syntax-invalid-illegal-bg: #82071e;
+  --color-prettylights-syntax-carriage-return-text: #f6f8fa;
+  --color-prettylights-syntax-carriage-return-bg: #cf222e;
+  --color-prettylights-syntax-string-regexp: #0550ae;
+  --color-prettylights-syntax-markup-list: #3b2300;
+  --color-prettylights-syntax-markup-heading: #0550ae;
+  --color-prettylights-syntax-markup-italic: #24292f;
+  --color-prettylights-syntax-markup-bold: #24292f;
+  --color-prettylights-syntax-markup-deleted-text: #82071e;
+  --color-prettylights-syntax-markup-deleted-bg: #ffebe9;
+  --color-prettylights-syntax-markup-inserted-text: #0550ae;
+  --color-prettylights-syntax-markup-inserted-bg: #ddf4ff;
+  --color-prettylights-syntax-markup-changed-text: #a40e26;
+  --color-prettylights-syntax-markup-changed-bg: #ffcecb;
+  --color-prettylights-syntax-markup-ignored-text: #eaeef2;
+  --color-prettylights-syntax-markup-ignored-bg: #0550ae;
+  --color-prettylights-syntax-meta-diff-range: #8250df;
+  --color-prettylights-syntax-brackethighlighter-angle: #57606a;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #8c959f;
+  --color-prettylights-syntax-constant-other-reference-link: #0a3069;
+  --color-fg-default: #24292f;
+  --color-fg-muted: #57606a;
+  --color-fg-subtle: #6e7781;
+  --color-canvas-default: #ffffff;
+  --color-canvas-subtle: #f6f8fa;
+  --color-border-default: #d0d7de;
+  --color-border-muted: hsla(210,18%,87%,1);
+  --color-neutral-muted: rgba(175,184,193,0.2);
+  --color-accent-fg: #0969da;
+  --color-accent-emphasis: #0969da;
+  --color-attention-subtle: #fff8c5;
+  --color-danger-fg: #cf222e;
+}
+}
+
+@media (prefers-color-scheme: dark) {
+  [data-color-mode='system'][data-dark-theme=light_tritanopia] {
+  /*light_tritanopia*/
+  color-scheme: light;
+  --color-prettylights-syntax-comment: #6e7781;
+  --color-prettylights-syntax-constant: #0550ae;
+  --color-prettylights-syntax-entity: #6639ba;
+  --color-prettylights-syntax-storage-modifier-import: #24292f;
+  --color-prettylights-syntax-entity-tag: #0550ae;
+  --color-prettylights-syntax-keyword: #cf222e;
+  --color-prettylights-syntax-string: #0a3069;
+  --color-prettylights-syntax-variable: #a40e26;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #82071e;
+  --color-prettylights-syntax-invalid-illegal-text: #f6f8fa;
+  --color-prettylights-syntax-invalid-illegal-bg: #82071e;
+  --color-prettylights-syntax-carriage-return-text: #f6f8fa;
+  --color-prettylights-syntax-carriage-return-bg: #cf222e;
+  --color-prettylights-syntax-string-regexp: #0550ae;
+  --color-prettylights-syntax-markup-list: #3b2300;
+  --color-prettylights-syntax-markup-heading: #0550ae;
+  --color-prettylights-syntax-markup-italic: #24292f;
+  --color-prettylights-syntax-markup-bold: #24292f;
+  --color-prettylights-syntax-markup-deleted-text: #82071e;
+  --color-prettylights-syntax-markup-deleted-bg: #ffebe9;
+  --color-prettylights-syntax-markup-inserted-text: #0550ae;
+  --color-prettylights-syntax-markup-inserted-bg: #ddf4ff;
+  --color-prettylights-syntax-markup-changed-text: #a40e26;
+  --color-prettylights-syntax-markup-changed-bg: #ffcecb;
+  --color-prettylights-syntax-markup-ignored-text: #eaeef2;
+  --color-prettylights-syntax-markup-ignored-bg: #0550ae;
+  --color-prettylights-syntax-meta-diff-range: #8250df;
+  --color-prettylights-syntax-brackethighlighter-angle: #57606a;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #8c959f;
+  --color-prettylights-syntax-constant-other-reference-link: #0a3069;
+  --color-fg-default: #24292f;
+  --color-fg-muted: #57606a;
+  --color-fg-subtle: #6e7781;
+  --color-canvas-default: #ffffff;
+  --color-canvas-subtle: #f6f8fa;
+  --color-border-default: #d0d7de;
+  --color-border-muted: hsla(210,18%,87%,1);
+  --color-neutral-muted: rgba(175,184,193,0.2);
+  --color-accent-fg: #0969da;
+  --color-accent-emphasis: #0969da;
+  --color-attention-subtle: #fff8c5;
+  --color-danger-fg: #cf222e;
+}
+}
+
+[data-color-mode=light][data-light-theme=light_high_contrast],
+[data-color-mode=dark][data-dark-theme=light_high_contrast],
+.vscode-body.vscode-light [data-color-mode=auto][data-light-theme=light_high_contrast],
+.vscode-body.vscode-dark [data-color-mode=auto][data-dark-theme=light_high_contrast] {
+  /*light_high_contrast*/
+  color-scheme: light;
+  --color-prettylights-syntax-comment: #66707b;
+  --color-prettylights-syntax-constant: #023b95;
+  --color-prettylights-syntax-entity: #512598;
+  --color-prettylights-syntax-storage-modifier-import: #0e1116;
+  --color-prettylights-syntax-entity-tag: #024c1a;
+  --color-prettylights-syntax-keyword: #a0111f;
+  --color-prettylights-syntax-string: #032563;
+  --color-prettylights-syntax-variable: #702c00;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #6e011a;
+  --color-prettylights-syntax-invalid-illegal-text: #ffffff;
+  --color-prettylights-syntax-invalid-illegal-bg: #6e011a;
+  --color-prettylights-syntax-carriage-return-text: #ffffff;
+  --color-prettylights-syntax-carriage-return-bg: #a0111f;
+  --color-prettylights-syntax-string-regexp: #024c1a;
+  --color-prettylights-syntax-markup-list: #2e1800;
+  --color-prettylights-syntax-markup-heading: #023b95;
+  --color-prettylights-syntax-markup-italic: #0e1116;
+  --color-prettylights-syntax-markup-bold: #0e1116;
+  --color-prettylights-syntax-markup-deleted-text: #6e011a;
+  --color-prettylights-syntax-markup-deleted-bg: #fff0ee;
+  --color-prettylights-syntax-markup-inserted-text: #024c1a;
+  --color-prettylights-syntax-markup-inserted-bg: #d2fedb;
+  --color-prettylights-syntax-markup-changed-text: #702c00;
+  --color-prettylights-syntax-markup-changed-bg: #ffc67b;
+  --color-prettylights-syntax-markup-ignored-text: #e7ecf0;
+  --color-prettylights-syntax-markup-ignored-bg: #023b95;
+  --color-prettylights-syntax-meta-diff-range: #622cbc;
+  --color-prettylights-syntax-brackethighlighter-angle: #4b535d;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #88929d;
+  --color-prettylights-syntax-constant-other-reference-link: #032563;
+  --color-fg-default: #0e1116;
+  --color-fg-muted: #0e1116;
+  --color-fg-subtle: #66707b;
+  --color-canvas-default: #ffffff;
+  --color-canvas-subtle: #e7ecf0;
+  --color-border-default: #20252c;
+  --color-border-muted: #88929d;
+  --color-neutral-muted: rgba(172,182,192,0.2);
+  --color-accent-fg: #0349b4;
+  --color-accent-emphasis: #0349b4;
+  --color-attention-subtle: #fcf7be;
+  --color-danger-fg: #d1242f;
+}
+@media (prefers-color-scheme: light) {
+  [data-color-mode='system'][data-light-theme=light_high_contrast] {
+  /*light_high_contrast*/
+  color-scheme: light;
+  --color-prettylights-syntax-comment: #66707b;
+  --color-prettylights-syntax-constant: #023b95;
+  --color-prettylights-syntax-entity: #512598;
+  --color-prettylights-syntax-storage-modifier-import: #0e1116;
+  --color-prettylights-syntax-entity-tag: #024c1a;
+  --color-prettylights-syntax-keyword: #a0111f;
+  --color-prettylights-syntax-string: #032563;
+  --color-prettylights-syntax-variable: #702c00;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #6e011a;
+  --color-prettylights-syntax-invalid-illegal-text: #ffffff;
+  --color-prettylights-syntax-invalid-illegal-bg: #6e011a;
+  --color-prettylights-syntax-carriage-return-text: #ffffff;
+  --color-prettylights-syntax-carriage-return-bg: #a0111f;
+  --color-prettylights-syntax-string-regexp: #024c1a;
+  --color-prettylights-syntax-markup-list: #2e1800;
+  --color-prettylights-syntax-markup-heading: #023b95;
+  --color-prettylights-syntax-markup-italic: #0e1116;
+  --color-prettylights-syntax-markup-bold: #0e1116;
+  --color-prettylights-syntax-markup-deleted-text: #6e011a;
+  --color-prettylights-syntax-markup-deleted-bg: #fff0ee;
+  --color-prettylights-syntax-markup-inserted-text: #024c1a;
+  --color-prettylights-syntax-markup-inserted-bg: #d2fedb;
+  --color-prettylights-syntax-markup-changed-text: #702c00;
+  --color-prettylights-syntax-markup-changed-bg: #ffc67b;
+  --color-prettylights-syntax-markup-ignored-text: #e7ecf0;
+  --color-prettylights-syntax-markup-ignored-bg: #023b95;
+  --color-prettylights-syntax-meta-diff-range: #622cbc;
+  --color-prettylights-syntax-brackethighlighter-angle: #4b535d;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #88929d;
+  --color-prettylights-syntax-constant-other-reference-link: #032563;
+  --color-fg-default: #0e1116;
+  --color-fg-muted: #0e1116;
+  --color-fg-subtle: #66707b;
+  --color-canvas-default: #ffffff;
+  --color-canvas-subtle: #e7ecf0;
+  --color-border-default: #20252c;
+  --color-border-muted: #88929d;
+  --color-neutral-muted: rgba(172,182,192,0.2);
+  --color-accent-fg: #0349b4;
+  --color-accent-emphasis: #0349b4;
+  --color-attention-subtle: #fcf7be;
+  --color-danger-fg: #d1242f;
+}
+}
+
+@media (prefers-color-scheme: dark) {
+  [data-color-mode='system'][data-dark-theme=light_high_contrast] {
+  /*light_high_contrast*/
+  color-scheme: light;
+  --color-prettylights-syntax-comment: #66707b;
+  --color-prettylights-syntax-constant: #023b95;
+  --color-prettylights-syntax-entity: #512598;
+  --color-prettylights-syntax-storage-modifier-import: #0e1116;
+  --color-prettylights-syntax-entity-tag: #024c1a;
+  --color-prettylights-syntax-keyword: #a0111f;
+  --color-prettylights-syntax-string: #032563;
+  --color-prettylights-syntax-variable: #702c00;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #6e011a;
+  --color-prettylights-syntax-invalid-illegal-text: #ffffff;
+  --color-prettylights-syntax-invalid-illegal-bg: #6e011a;
+  --color-prettylights-syntax-carriage-return-text: #ffffff;
+  --color-prettylights-syntax-carriage-return-bg: #a0111f;
+  --color-prettylights-syntax-string-regexp: #024c1a;
+  --color-prettylights-syntax-markup-list: #2e1800;
+  --color-prettylights-syntax-markup-heading: #023b95;
+  --color-prettylights-syntax-markup-italic: #0e1116;
+  --color-prettylights-syntax-markup-bold: #0e1116;
+  --color-prettylights-syntax-markup-deleted-text: #6e011a;
+  --color-prettylights-syntax-markup-deleted-bg: #fff0ee;
+  --color-prettylights-syntax-markup-inserted-text: #024c1a;
+  --color-prettylights-syntax-markup-inserted-bg: #d2fedb;
+  --color-prettylights-syntax-markup-changed-text: #702c00;
+  --color-prettylights-syntax-markup-changed-bg: #ffc67b;
+  --color-prettylights-syntax-markup-ignored-text: #e7ecf0;
+  --color-prettylights-syntax-markup-ignored-bg: #023b95;
+  --color-prettylights-syntax-meta-diff-range: #622cbc;
+  --color-prettylights-syntax-brackethighlighter-angle: #4b535d;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #88929d;
+  --color-prettylights-syntax-constant-other-reference-link: #032563;
+  --color-fg-default: #0e1116;
+  --color-fg-muted: #0e1116;
+  --color-fg-subtle: #66707b;
+  --color-canvas-default: #ffffff;
+  --color-canvas-subtle: #e7ecf0;
+  --color-border-default: #20252c;
+  --color-border-muted: #88929d;
+  --color-neutral-muted: rgba(172,182,192,0.2);
+  --color-accent-fg: #0349b4;
+  --color-accent-emphasis: #0349b4;
+  --color-attention-subtle: #fcf7be;
+  --color-danger-fg: #d1242f;
+}
+}
+
+[data-color-mode=light][data-light-theme=dark],
+[data-color-mode=dark][data-dark-theme=dark],
+.vscode-body.vscode-light [data-color-mode=auto][data-light-theme=dark],
+.vscode-body.vscode-dark [data-color-mode=auto][data-dark-theme=dark] {
+  /*dark*/
+  color-scheme: dark;
+  --color-prettylights-syntax-comment: #8b949e;
+  --color-prettylights-syntax-constant: #79c0ff;
+  --color-prettylights-syntax-entity: #d2a8ff;
+  --color-prettylights-syntax-storage-modifier-import: #c9d1d9;
+  --color-prettylights-syntax-entity-tag: #7ee787;
+  --color-prettylights-syntax-keyword: #ff7b72;
+  --color-prettylights-syntax-string: #a5d6ff;
+  --color-prettylights-syntax-variable: #ffa657;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #f85149;
+  --color-prettylights-syntax-invalid-illegal-text: #f0f6fc;
+  --color-prettylights-syntax-invalid-illegal-bg: #8e1519;
+  --color-prettylights-syntax-carriage-return-text: #f0f6fc;
+  --color-prettylights-syntax-carriage-return-bg: #b62324;
+  --color-prettylights-syntax-string-regexp: #7ee787;
+  --color-prettylights-syntax-markup-list: #f2cc60;
+  --color-prettylights-syntax-markup-heading: #1f6feb;
+  --color-prettylights-syntax-markup-italic: #c9d1d9;
+  --color-prettylights-syntax-markup-bold: #c9d1d9;
+  --color-prettylights-syntax-markup-deleted-text: #ffdcd7;
+  --color-prettylights-syntax-markup-deleted-bg: #67060c;
+  --color-prettylights-syntax-markup-inserted-text: #aff5b4;
+  --color-prettylights-syntax-markup-inserted-bg: #033a16;
+  --color-prettylights-syntax-markup-changed-text: #ffdfb6;
+  --color-prettylights-syntax-markup-changed-bg: #5a1e02;
+  --color-prettylights-syntax-markup-ignored-text: #c9d1d9;
+  --color-prettylights-syntax-markup-ignored-bg: #1158c7;
+  --color-prettylights-syntax-meta-diff-range: #d2a8ff;
+  --color-prettylights-syntax-brackethighlighter-angle: #8b949e;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #484f58;
+  --color-prettylights-syntax-constant-other-reference-link: #a5d6ff;
+  --color-fg-default: #e6edf3;
+  --color-fg-muted: #7d8590;
+  --color-fg-subtle: #6e7681;
+  --color-canvas-default: #0d1117;
+  --color-canvas-subtle: #161b22;
+  --color-border-default: #30363d;
+  --color-border-muted: #21262d;
+  --color-neutral-muted: rgba(110,118,129,0.4);
+  --color-accent-fg: #2f81f7;
+  --color-accent-emphasis: #1f6feb;
+  --color-attention-subtle: rgba(187,128,9,0.15);
+  --color-danger-fg: #f85149;
+}
+@media (prefers-color-scheme: light) {
+  [data-color-mode='system'][data-light-theme=dark] {
+  /*dark*/
+  color-scheme: dark;
+  --color-prettylights-syntax-comment: #8b949e;
+  --color-prettylights-syntax-constant: #79c0ff;
+  --color-prettylights-syntax-entity: #d2a8ff;
+  --color-prettylights-syntax-storage-modifier-import: #c9d1d9;
+  --color-prettylights-syntax-entity-tag: #7ee787;
+  --color-prettylights-syntax-keyword: #ff7b72;
+  --color-prettylights-syntax-string: #a5d6ff;
+  --color-prettylights-syntax-variable: #ffa657;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #f85149;
+  --color-prettylights-syntax-invalid-illegal-text: #f0f6fc;
+  --color-prettylights-syntax-invalid-illegal-bg: #8e1519;
+  --color-prettylights-syntax-carriage-return-text: #f0f6fc;
+  --color-prettylights-syntax-carriage-return-bg: #b62324;
+  --color-prettylights-syntax-string-regexp: #7ee787;
+  --color-prettylights-syntax-markup-list: #f2cc60;
+  --color-prettylights-syntax-markup-heading: #1f6feb;
+  --color-prettylights-syntax-markup-italic: #c9d1d9;
+  --color-prettylights-syntax-markup-bold: #c9d1d9;
+  --color-prettylights-syntax-markup-deleted-text: #ffdcd7;
+  --color-prettylights-syntax-markup-deleted-bg: #67060c;
+  --color-prettylights-syntax-markup-inserted-text: #aff5b4;
+  --color-prettylights-syntax-markup-inserted-bg: #033a16;
+  --color-prettylights-syntax-markup-changed-text: #ffdfb6;
+  --color-prettylights-syntax-markup-changed-bg: #5a1e02;
+  --color-prettylights-syntax-markup-ignored-text: #c9d1d9;
+  --color-prettylights-syntax-markup-ignored-bg: #1158c7;
+  --color-prettylights-syntax-meta-diff-range: #d2a8ff;
+  --color-prettylights-syntax-brackethighlighter-angle: #8b949e;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #484f58;
+  --color-prettylights-syntax-constant-other-reference-link: #a5d6ff;
+  --color-fg-default: #e6edf3;
+  --color-fg-muted: #7d8590;
+  --color-fg-subtle: #6e7681;
+  --color-canvas-default: #0d1117;
+  --color-canvas-subtle: #161b22;
+  --color-border-default: #30363d;
+  --color-border-muted: #21262d;
+  --color-neutral-muted: rgba(110,118,129,0.4);
+  --color-accent-fg: #2f81f7;
+  --color-accent-emphasis: #1f6feb;
+  --color-attention-subtle: rgba(187,128,9,0.15);
+  --color-danger-fg: #f85149;
+}
+}
+
+@media (prefers-color-scheme: dark) {
+  [data-color-mode='system'][data-dark-theme=dark] {
+  /*dark*/
+  color-scheme: dark;
+  --color-prettylights-syntax-comment: #8b949e;
+  --color-prettylights-syntax-constant: #79c0ff;
+  --color-prettylights-syntax-entity: #d2a8ff;
+  --color-prettylights-syntax-storage-modifier-import: #c9d1d9;
+  --color-prettylights-syntax-entity-tag: #7ee787;
+  --color-prettylights-syntax-keyword: #ff7b72;
+  --color-prettylights-syntax-string: #a5d6ff;
+  --color-prettylights-syntax-variable: #ffa657;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #f85149;
+  --color-prettylights-syntax-invalid-illegal-text: #f0f6fc;
+  --color-prettylights-syntax-invalid-illegal-bg: #8e1519;
+  --color-prettylights-syntax-carriage-return-text: #f0f6fc;
+  --color-prettylights-syntax-carriage-return-bg: #b62324;
+  --color-prettylights-syntax-string-regexp: #7ee787;
+  --color-prettylights-syntax-markup-list: #f2cc60;
+  --color-prettylights-syntax-markup-heading: #1f6feb;
+  --color-prettylights-syntax-markup-italic: #c9d1d9;
+  --color-prettylights-syntax-markup-bold: #c9d1d9;
+  --color-prettylights-syntax-markup-deleted-text: #ffdcd7;
+  --color-prettylights-syntax-markup-deleted-bg: #67060c;
+  --color-prettylights-syntax-markup-inserted-text: #aff5b4;
+  --color-prettylights-syntax-markup-inserted-bg: #033a16;
+  --color-prettylights-syntax-markup-changed-text: #ffdfb6;
+  --color-prettylights-syntax-markup-changed-bg: #5a1e02;
+  --color-prettylights-syntax-markup-ignored-text: #c9d1d9;
+  --color-prettylights-syntax-markup-ignored-bg: #1158c7;
+  --color-prettylights-syntax-meta-diff-range: #d2a8ff;
+  --color-prettylights-syntax-brackethighlighter-angle: #8b949e;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #484f58;
+  --color-prettylights-syntax-constant-other-reference-link: #a5d6ff;
+  --color-fg-default: #e6edf3;
+  --color-fg-muted: #7d8590;
+  --color-fg-subtle: #6e7681;
+  --color-canvas-default: #0d1117;
+  --color-canvas-subtle: #161b22;
+  --color-border-default: #30363d;
+  --color-border-muted: #21262d;
+  --color-neutral-muted: rgba(110,118,129,0.4);
+  --color-accent-fg: #2f81f7;
+  --color-accent-emphasis: #1f6feb;
+  --color-attention-subtle: rgba(187,128,9,0.15);
+  --color-danger-fg: #f85149;
+}
+}
+
+[data-color-mode=light][data-light-theme=dark_dimmed],
+[data-color-mode=dark][data-dark-theme=dark_dimmed],
+.vscode-body.vscode-light [data-color-mode=auto][data-light-theme=dark_dimmed],
+.vscode-body.vscode-dark [data-color-mode=auto][data-dark-theme=dark_dimmed] {
+  /*dark_dimmed*/
+  color-scheme: dark;
+  --color-prettylights-syntax-comment: #768390;
+  --color-prettylights-syntax-constant: #6cb6ff;
+  --color-prettylights-syntax-entity: #dcbdfb;
+  --color-prettylights-syntax-storage-modifier-import: #adbac7;
+  --color-prettylights-syntax-entity-tag: #8ddb8c;
+  --color-prettylights-syntax-keyword: #f47067;
+  --color-prettylights-syntax-string: #96d0ff;
+  --color-prettylights-syntax-variable: #f69d50;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #e5534b;
+  --color-prettylights-syntax-invalid-illegal-text: #cdd9e5;
+  --color-prettylights-syntax-invalid-illegal-bg: #922323;
+  --color-prettylights-syntax-carriage-return-text: #cdd9e5;
+  --color-prettylights-syntax-carriage-return-bg: #ad2e2c;
+  --color-prettylights-syntax-string-regexp: #8ddb8c;
+  --color-prettylights-syntax-markup-list: #eac55f;
+  --color-prettylights-syntax-markup-heading: #316dca;
+  --color-prettylights-syntax-markup-italic: #adbac7;
+  --color-prettylights-syntax-markup-bold: #adbac7;
+  --color-prettylights-syntax-markup-deleted-text: #ffd8d3;
+  --color-prettylights-syntax-markup-deleted-bg: #78191b;
+  --color-prettylights-syntax-markup-inserted-text: #b4f1b4;
+  --color-prettylights-syntax-markup-inserted-bg: #1b4721;
+  --color-prettylights-syntax-markup-changed-text: #ffddb0;
+  --color-prettylights-syntax-markup-changed-bg: #682d0f;
+  --color-prettylights-syntax-markup-ignored-text: #adbac7;
+  --color-prettylights-syntax-markup-ignored-bg: #255ab2;
+  --color-prettylights-syntax-meta-diff-range: #dcbdfb;
+  --color-prettylights-syntax-brackethighlighter-angle: #768390;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #545d68;
+  --color-prettylights-syntax-constant-other-reference-link: #96d0ff;
+  --color-fg-default: #adbac7;
+  --color-fg-muted: #768390;
+  --color-fg-subtle: #636e7b;
+  --color-canvas-default: #22272e;
+  --color-canvas-subtle: #2d333b;
+  --color-border-default: #444c56;
+  --color-border-muted: #373e47;
+  --color-neutral-muted: rgba(99,110,123,0.4);
+  --color-accent-fg: #539bf5;
+  --color-accent-emphasis: #316dca;
+  --color-attention-subtle: rgba(174,124,20,0.15);
+  --color-danger-fg: #e5534b;
+}
+@media (prefers-color-scheme: light) {
+  [data-color-mode='system'][data-light-theme=dark_dimmed] {
+  /*dark_dimmed*/
+  color-scheme: dark;
+  --color-prettylights-syntax-comment: #768390;
+  --color-prettylights-syntax-constant: #6cb6ff;
+  --color-prettylights-syntax-entity: #dcbdfb;
+  --color-prettylights-syntax-storage-modifier-import: #adbac7;
+  --color-prettylights-syntax-entity-tag: #8ddb8c;
+  --color-prettylights-syntax-keyword: #f47067;
+  --color-prettylights-syntax-string: #96d0ff;
+  --color-prettylights-syntax-variable: #f69d50;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #e5534b;
+  --color-prettylights-syntax-invalid-illegal-text: #cdd9e5;
+  --color-prettylights-syntax-invalid-illegal-bg: #922323;
+  --color-prettylights-syntax-carriage-return-text: #cdd9e5;
+  --color-prettylights-syntax-carriage-return-bg: #ad2e2c;
+  --color-prettylights-syntax-string-regexp: #8ddb8c;
+  --color-prettylights-syntax-markup-list: #eac55f;
+  --color-prettylights-syntax-markup-heading: #316dca;
+  --color-prettylights-syntax-markup-italic: #adbac7;
+  --color-prettylights-syntax-markup-bold: #adbac7;
+  --color-prettylights-syntax-markup-deleted-text: #ffd8d3;
+  --color-prettylights-syntax-markup-deleted-bg: #78191b;
+  --color-prettylights-syntax-markup-inserted-text: #b4f1b4;
+  --color-prettylights-syntax-markup-inserted-bg: #1b4721;
+  --color-prettylights-syntax-markup-changed-text: #ffddb0;
+  --color-prettylights-syntax-markup-changed-bg: #682d0f;
+  --color-prettylights-syntax-markup-ignored-text: #adbac7;
+  --color-prettylights-syntax-markup-ignored-bg: #255ab2;
+  --color-prettylights-syntax-meta-diff-range: #dcbdfb;
+  --color-prettylights-syntax-brackethighlighter-angle: #768390;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #545d68;
+  --color-prettylights-syntax-constant-other-reference-link: #96d0ff;
+  --color-fg-default: #adbac7;
+  --color-fg-muted: #768390;
+  --color-fg-subtle: #636e7b;
+  --color-canvas-default: #22272e;
+  --color-canvas-subtle: #2d333b;
+  --color-border-default: #444c56;
+  --color-border-muted: #373e47;
+  --color-neutral-muted: rgba(99,110,123,0.4);
+  --color-accent-fg: #539bf5;
+  --color-accent-emphasis: #316dca;
+  --color-attention-subtle: rgba(174,124,20,0.15);
+  --color-danger-fg: #e5534b;
+}
+}
+
+@media (prefers-color-scheme: dark) {
+  [data-color-mode='system'][data-dark-theme=dark_dimmed] {
+  /*dark_dimmed*/
+  color-scheme: dark;
+  --color-prettylights-syntax-comment: #768390;
+  --color-prettylights-syntax-constant: #6cb6ff;
+  --color-prettylights-syntax-entity: #dcbdfb;
+  --color-prettylights-syntax-storage-modifier-import: #adbac7;
+  --color-prettylights-syntax-entity-tag: #8ddb8c;
+  --color-prettylights-syntax-keyword: #f47067;
+  --color-prettylights-syntax-string: #96d0ff;
+  --color-prettylights-syntax-variable: #f69d50;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #e5534b;
+  --color-prettylights-syntax-invalid-illegal-text: #cdd9e5;
+  --color-prettylights-syntax-invalid-illegal-bg: #922323;
+  --color-prettylights-syntax-carriage-return-text: #cdd9e5;
+  --color-prettylights-syntax-carriage-return-bg: #ad2e2c;
+  --color-prettylights-syntax-string-regexp: #8ddb8c;
+  --color-prettylights-syntax-markup-list: #eac55f;
+  --color-prettylights-syntax-markup-heading: #316dca;
+  --color-prettylights-syntax-markup-italic: #adbac7;
+  --color-prettylights-syntax-markup-bold: #adbac7;
+  --color-prettylights-syntax-markup-deleted-text: #ffd8d3;
+  --color-prettylights-syntax-markup-deleted-bg: #78191b;
+  --color-prettylights-syntax-markup-inserted-text: #b4f1b4;
+  --color-prettylights-syntax-markup-inserted-bg: #1b4721;
+  --color-prettylights-syntax-markup-changed-text: #ffddb0;
+  --color-prettylights-syntax-markup-changed-bg: #682d0f;
+  --color-prettylights-syntax-markup-ignored-text: #adbac7;
+  --color-prettylights-syntax-markup-ignored-bg: #255ab2;
+  --color-prettylights-syntax-meta-diff-range: #dcbdfb;
+  --color-prettylights-syntax-brackethighlighter-angle: #768390;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #545d68;
+  --color-prettylights-syntax-constant-other-reference-link: #96d0ff;
+  --color-fg-default: #adbac7;
+  --color-fg-muted: #768390;
+  --color-fg-subtle: #636e7b;
+  --color-canvas-default: #22272e;
+  --color-canvas-subtle: #2d333b;
+  --color-border-default: #444c56;
+  --color-border-muted: #373e47;
+  --color-neutral-muted: rgba(99,110,123,0.4);
+  --color-accent-fg: #539bf5;
+  --color-accent-emphasis: #316dca;
+  --color-attention-subtle: rgba(174,124,20,0.15);
+  --color-danger-fg: #e5534b;
+}
+}
+
+[data-color-mode=light][data-light-theme=dark_colorblind],
+[data-color-mode=dark][data-dark-theme=dark_colorblind],
+.vscode-body.vscode-light [data-color-mode=auto][data-light-theme=dark_colorblind],
+.vscode-body.vscode-dark [data-color-mode=auto][data-dark-theme=dark_colorblind] {
+  /*dark_colorblind*/
+  color-scheme: dark;
+  --color-prettylights-syntax-comment: #8b949e;
+  --color-prettylights-syntax-constant: #79c0ff;
+  --color-prettylights-syntax-entity: #d2a8ff;
+  --color-prettylights-syntax-storage-modifier-import: #c9d1d9;
+  --color-prettylights-syntax-entity-tag: #a5d6ff;
+  --color-prettylights-syntax-keyword: #ec8e2c;
+  --color-prettylights-syntax-string: #a5d6ff;
+  --color-prettylights-syntax-variable: #fdac54;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #d47616;
+  --color-prettylights-syntax-invalid-illegal-text: #f0f6fc;
+  --color-prettylights-syntax-invalid-illegal-bg: #6c3906;
+  --color-prettylights-syntax-carriage-return-text: #f0f6fc;
+  --color-prettylights-syntax-carriage-return-bg: #914d04;
+  --color-prettylights-syntax-string-regexp: #a5d6ff;
+  --color-prettylights-syntax-markup-list: #f2cc60;
+  --color-prettylights-syntax-markup-heading: #1f6feb;
+  --color-prettylights-syntax-markup-italic: #c9d1d9;
+  --color-prettylights-syntax-markup-bold: #c9d1d9;
+  --color-prettylights-syntax-markup-deleted-text: #ffe2bb;
+  --color-prettylights-syntax-markup-deleted-bg: #4e2906;
+  --color-prettylights-syntax-markup-inserted-text: #cae8ff;
+  --color-prettylights-syntax-markup-inserted-bg: #0c2d6b;
+  --color-prettylights-syntax-markup-changed-text: #ffe2bb;
+  --color-prettylights-syntax-markup-changed-bg: #4e2906;
+  --color-prettylights-syntax-markup-ignored-text: #c9d1d9;
+  --color-prettylights-syntax-markup-ignored-bg: #1158c7;
+  --color-prettylights-syntax-meta-diff-range: #d2a8ff;
+  --color-prettylights-syntax-brackethighlighter-angle: #8b949e;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #484f58;
+  --color-prettylights-syntax-constant-other-reference-link: #a5d6ff;
+  --color-fg-default: #c9d1d9;
+  --color-fg-muted: #8b949e;
+  --color-fg-subtle: #6e7681;
+  --color-canvas-default: #0d1117;
+  --color-canvas-subtle: #161b22;
+  --color-border-default: #30363d;
+  --color-border-muted: #21262d;
+  --color-neutral-muted: rgba(110,118,129,0.4);
+  --color-accent-fg: #58a6ff;
+  --color-accent-emphasis: #1f6feb;
+  --color-attention-subtle: rgba(187,128,9,0.15);
+  --color-danger-fg: #d47616;
+}
+@media (prefers-color-scheme: light) {
+  [data-color-mode='system'][data-light-theme=dark_colorblind] {
+  /*dark_colorblind*/
+  color-scheme: dark;
+  --color-prettylights-syntax-comment: #8b949e;
+  --color-prettylights-syntax-constant: #79c0ff;
+  --color-prettylights-syntax-entity: #d2a8ff;
+  --color-prettylights-syntax-storage-modifier-import: #c9d1d9;
+  --color-prettylights-syntax-entity-tag: #a5d6ff;
+  --color-prettylights-syntax-keyword: #ec8e2c;
+  --color-prettylights-syntax-string: #a5d6ff;
+  --color-prettylights-syntax-variable: #fdac54;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #d47616;
+  --color-prettylights-syntax-invalid-illegal-text: #f0f6fc;
+  --color-prettylights-syntax-invalid-illegal-bg: #6c3906;
+  --color-prettylights-syntax-carriage-return-text: #f0f6fc;
+  --color-prettylights-syntax-carriage-return-bg: #914d04;
+  --color-prettylights-syntax-string-regexp: #a5d6ff;
+  --color-prettylights-syntax-markup-list: #f2cc60;
+  --color-prettylights-syntax-markup-heading: #1f6feb;
+  --color-prettylights-syntax-markup-italic: #c9d1d9;
+  --color-prettylights-syntax-markup-bold: #c9d1d9;
+  --color-prettylights-syntax-markup-deleted-text: #ffe2bb;
+  --color-prettylights-syntax-markup-deleted-bg: #4e2906;
+  --color-prettylights-syntax-markup-inserted-text: #cae8ff;
+  --color-prettylights-syntax-markup-inserted-bg: #0c2d6b;
+  --color-prettylights-syntax-markup-changed-text: #ffe2bb;
+  --color-prettylights-syntax-markup-changed-bg: #4e2906;
+  --color-prettylights-syntax-markup-ignored-text: #c9d1d9;
+  --color-prettylights-syntax-markup-ignored-bg: #1158c7;
+  --color-prettylights-syntax-meta-diff-range: #d2a8ff;
+  --color-prettylights-syntax-brackethighlighter-angle: #8b949e;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #484f58;
+  --color-prettylights-syntax-constant-other-reference-link: #a5d6ff;
+  --color-fg-default: #c9d1d9;
+  --color-fg-muted: #8b949e;
+  --color-fg-subtle: #6e7681;
+  --color-canvas-default: #0d1117;
+  --color-canvas-subtle: #161b22;
+  --color-border-default: #30363d;
+  --color-border-muted: #21262d;
+  --color-neutral-muted: rgba(110,118,129,0.4);
+  --color-accent-fg: #58a6ff;
+  --color-accent-emphasis: #1f6feb;
+  --color-attention-subtle: rgba(187,128,9,0.15);
+  --color-danger-fg: #d47616;
+}
+}
+
+@media (prefers-color-scheme: dark) {
+  [data-color-mode='system'][data-dark-theme=dark_colorblind] {
+  /*dark_colorblind*/
+  color-scheme: dark;
+  --color-prettylights-syntax-comment: #8b949e;
+  --color-prettylights-syntax-constant: #79c0ff;
+  --color-prettylights-syntax-entity: #d2a8ff;
+  --color-prettylights-syntax-storage-modifier-import: #c9d1d9;
+  --color-prettylights-syntax-entity-tag: #a5d6ff;
+  --color-prettylights-syntax-keyword: #ec8e2c;
+  --color-prettylights-syntax-string: #a5d6ff;
+  --color-prettylights-syntax-variable: #fdac54;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #d47616;
+  --color-prettylights-syntax-invalid-illegal-text: #f0f6fc;
+  --color-prettylights-syntax-invalid-illegal-bg: #6c3906;
+  --color-prettylights-syntax-carriage-return-text: #f0f6fc;
+  --color-prettylights-syntax-carriage-return-bg: #914d04;
+  --color-prettylights-syntax-string-regexp: #a5d6ff;
+  --color-prettylights-syntax-markup-list: #f2cc60;
+  --color-prettylights-syntax-markup-heading: #1f6feb;
+  --color-prettylights-syntax-markup-italic: #c9d1d9;
+  --color-prettylights-syntax-markup-bold: #c9d1d9;
+  --color-prettylights-syntax-markup-deleted-text: #ffe2bb;
+  --color-prettylights-syntax-markup-deleted-bg: #4e2906;
+  --color-prettylights-syntax-markup-inserted-text: #cae8ff;
+  --color-prettylights-syntax-markup-inserted-bg: #0c2d6b;
+  --color-prettylights-syntax-markup-changed-text: #ffe2bb;
+  --color-prettylights-syntax-markup-changed-bg: #4e2906;
+  --color-prettylights-syntax-markup-ignored-text: #c9d1d9;
+  --color-prettylights-syntax-markup-ignored-bg: #1158c7;
+  --color-prettylights-syntax-meta-diff-range: #d2a8ff;
+  --color-prettylights-syntax-brackethighlighter-angle: #8b949e;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #484f58;
+  --color-prettylights-syntax-constant-other-reference-link: #a5d6ff;
+  --color-fg-default: #c9d1d9;
+  --color-fg-muted: #8b949e;
+  --color-fg-subtle: #6e7681;
+  --color-canvas-default: #0d1117;
+  --color-canvas-subtle: #161b22;
+  --color-border-default: #30363d;
+  --color-border-muted: #21262d;
+  --color-neutral-muted: rgba(110,118,129,0.4);
+  --color-accent-fg: #58a6ff;
+  --color-accent-emphasis: #1f6feb;
+  --color-attention-subtle: rgba(187,128,9,0.15);
+  --color-danger-fg: #d47616;
+}
+}
+
+[data-color-mode=light][data-light-theme=dark_tritanopia],
+[data-color-mode=dark][data-dark-theme=dark_tritanopia],
+.vscode-body.vscode-light [data-color-mode=auto][data-light-theme=dark_tritanopia],
+.vscode-body.vscode-dark [data-color-mode=auto][data-dark-theme=dark_tritanopia] {
+  /*dark_tritanopia*/
+  color-scheme: dark;
+  --color-prettylights-syntax-comment: #8b949e;
+  --color-prettylights-syntax-constant: #79c0ff;
+  --color-prettylights-syntax-entity: #d2a8ff;
+  --color-prettylights-syntax-storage-modifier-import: #c9d1d9;
+  --color-prettylights-syntax-entity-tag: #a5d6ff;
+  --color-prettylights-syntax-keyword: #ff7b72;
+  --color-prettylights-syntax-string: #a5d6ff;
+  --color-prettylights-syntax-variable: #ffa198;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #f85149;
+  --color-prettylights-syntax-invalid-illegal-text: #f0f6fc;
+  --color-prettylights-syntax-invalid-illegal-bg: #8e1519;
+  --color-prettylights-syntax-carriage-return-text: #f0f6fc;
+  --color-prettylights-syntax-carriage-return-bg: #b62324;
+  --color-prettylights-syntax-string-regexp: #a5d6ff;
+  --color-prettylights-syntax-markup-list: #f2cc60;
+  --color-prettylights-syntax-markup-heading: #1f6feb;
+  --color-prettylights-syntax-markup-italic: #c9d1d9;
+  --color-prettylights-syntax-markup-bold: #c9d1d9;
+  --color-prettylights-syntax-markup-deleted-text: #ffdcd7;
+  --color-prettylights-syntax-markup-deleted-bg: #67060c;
+  --color-prettylights-syntax-markup-inserted-text: #cae8ff;
+  --color-prettylights-syntax-markup-inserted-bg: #0c2d6b;
+  --color-prettylights-syntax-markup-changed-text: #ffdcd7;
+  --color-prettylights-syntax-markup-changed-bg: #67060c;
+  --color-prettylights-syntax-markup-ignored-text: #c9d1d9;
+  --color-prettylights-syntax-markup-ignored-bg: #1158c7;
+  --color-prettylights-syntax-meta-diff-range: #d2a8ff;
+  --color-prettylights-syntax-brackethighlighter-angle: #8b949e;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #484f58;
+  --color-prettylights-syntax-constant-other-reference-link: #a5d6ff;
+  --color-fg-default: #c9d1d9;
+  --color-fg-muted: #8b949e;
+  --color-fg-subtle: #6e7681;
+  --color-canvas-default: #0d1117;
+  --color-canvas-subtle: #161b22;
+  --color-border-default: #30363d;
+  --color-border-muted: #21262d;
+  --color-neutral-muted: rgba(110,118,129,0.4);
+  --color-accent-fg: #58a6ff;
+  --color-accent-emphasis: #1f6feb;
+  --color-attention-subtle: rgba(187,128,9,0.15);
+  --color-danger-fg: #f85149;
+}
+@media (prefers-color-scheme: light) {
+  [data-color-mode='system'][data-light-theme=dark_tritanopia] {
+  /*dark_tritanopia*/
+  color-scheme: dark;
+  --color-prettylights-syntax-comment: #8b949e;
+  --color-prettylights-syntax-constant: #79c0ff;
+  --color-prettylights-syntax-entity: #d2a8ff;
+  --color-prettylights-syntax-storage-modifier-import: #c9d1d9;
+  --color-prettylights-syntax-entity-tag: #a5d6ff;
+  --color-prettylights-syntax-keyword: #ff7b72;
+  --color-prettylights-syntax-string: #a5d6ff;
+  --color-prettylights-syntax-variable: #ffa198;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #f85149;
+  --color-prettylights-syntax-invalid-illegal-text: #f0f6fc;
+  --color-prettylights-syntax-invalid-illegal-bg: #8e1519;
+  --color-prettylights-syntax-carriage-return-text: #f0f6fc;
+  --color-prettylights-syntax-carriage-return-bg: #b62324;
+  --color-prettylights-syntax-string-regexp: #a5d6ff;
+  --color-prettylights-syntax-markup-list: #f2cc60;
+  --color-prettylights-syntax-markup-heading: #1f6feb;
+  --color-prettylights-syntax-markup-italic: #c9d1d9;
+  --color-prettylights-syntax-markup-bold: #c9d1d9;
+  --color-prettylights-syntax-markup-deleted-text: #ffdcd7;
+  --color-prettylights-syntax-markup-deleted-bg: #67060c;
+  --color-prettylights-syntax-markup-inserted-text: #cae8ff;
+  --color-prettylights-syntax-markup-inserted-bg: #0c2d6b;
+  --color-prettylights-syntax-markup-changed-text: #ffdcd7;
+  --color-prettylights-syntax-markup-changed-bg: #67060c;
+  --color-prettylights-syntax-markup-ignored-text: #c9d1d9;
+  --color-prettylights-syntax-markup-ignored-bg: #1158c7;
+  --color-prettylights-syntax-meta-diff-range: #d2a8ff;
+  --color-prettylights-syntax-brackethighlighter-angle: #8b949e;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #484f58;
+  --color-prettylights-syntax-constant-other-reference-link: #a5d6ff;
+  --color-fg-default: #c9d1d9;
+  --color-fg-muted: #8b949e;
+  --color-fg-subtle: #6e7681;
+  --color-canvas-default: #0d1117;
+  --color-canvas-subtle: #161b22;
+  --color-border-default: #30363d;
+  --color-border-muted: #21262d;
+  --color-neutral-muted: rgba(110,118,129,0.4);
+  --color-accent-fg: #58a6ff;
+  --color-accent-emphasis: #1f6feb;
+  --color-attention-subtle: rgba(187,128,9,0.15);
+  --color-danger-fg: #f85149;
+}
+}
+
+@media (prefers-color-scheme: dark) {
+  [data-color-mode='system'][data-dark-theme=dark_tritanopia] {
+  /*dark_tritanopia*/
+  color-scheme: dark;
+  --color-prettylights-syntax-comment: #8b949e;
+  --color-prettylights-syntax-constant: #79c0ff;
+  --color-prettylights-syntax-entity: #d2a8ff;
+  --color-prettylights-syntax-storage-modifier-import: #c9d1d9;
+  --color-prettylights-syntax-entity-tag: #a5d6ff;
+  --color-prettylights-syntax-keyword: #ff7b72;
+  --color-prettylights-syntax-string: #a5d6ff;
+  --color-prettylights-syntax-variable: #ffa198;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #f85149;
+  --color-prettylights-syntax-invalid-illegal-text: #f0f6fc;
+  --color-prettylights-syntax-invalid-illegal-bg: #8e1519;
+  --color-prettylights-syntax-carriage-return-text: #f0f6fc;
+  --color-prettylights-syntax-carriage-return-bg: #b62324;
+  --color-prettylights-syntax-string-regexp: #a5d6ff;
+  --color-prettylights-syntax-markup-list: #f2cc60;
+  --color-prettylights-syntax-markup-heading: #1f6feb;
+  --color-prettylights-syntax-markup-italic: #c9d1d9;
+  --color-prettylights-syntax-markup-bold: #c9d1d9;
+  --color-prettylights-syntax-markup-deleted-text: #ffdcd7;
+  --color-prettylights-syntax-markup-deleted-bg: #67060c;
+  --color-prettylights-syntax-markup-inserted-text: #cae8ff;
+  --color-prettylights-syntax-markup-inserted-bg: #0c2d6b;
+  --color-prettylights-syntax-markup-changed-text: #ffdcd7;
+  --color-prettylights-syntax-markup-changed-bg: #67060c;
+  --color-prettylights-syntax-markup-ignored-text: #c9d1d9;
+  --color-prettylights-syntax-markup-ignored-bg: #1158c7;
+  --color-prettylights-syntax-meta-diff-range: #d2a8ff;
+  --color-prettylights-syntax-brackethighlighter-angle: #8b949e;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #484f58;
+  --color-prettylights-syntax-constant-other-reference-link: #a5d6ff;
+  --color-fg-default: #c9d1d9;
+  --color-fg-muted: #8b949e;
+  --color-fg-subtle: #6e7681;
+  --color-canvas-default: #0d1117;
+  --color-canvas-subtle: #161b22;
+  --color-border-default: #30363d;
+  --color-border-muted: #21262d;
+  --color-neutral-muted: rgba(110,118,129,0.4);
+  --color-accent-fg: #58a6ff;
+  --color-accent-emphasis: #1f6feb;
+  --color-attention-subtle: rgba(187,128,9,0.15);
+  --color-danger-fg: #f85149;
+}
+}
+
+[data-color-mode=light][data-light-theme=dark_high_contrast],
+[data-color-mode=dark][data-dark-theme=dark_high_contrast],
+.vscode-body.vscode-light [data-color-mode=auto][data-light-theme=dark_high_contrast],
+.vscode-body.vscode-dark [data-color-mode=auto][data-dark-theme=dark_high_contrast] {
+  /*dark_high_contrast*/
+  color-scheme: dark;
+  --color-prettylights-syntax-comment: #bdc4cc;
+  --color-prettylights-syntax-constant: #91cbff;
+  --color-prettylights-syntax-entity: #dbb7ff;
+  --color-prettylights-syntax-storage-modifier-import: #f0f3f6;
+  --color-prettylights-syntax-entity-tag: #72f088;
+  --color-prettylights-syntax-keyword: #ff9492;
+  --color-prettylights-syntax-string: #addcff;
+  --color-prettylights-syntax-variable: #ffb757;
+  --color-prettylights-syntax-brackethighlighter-unmatched: #ff6a69;
+  --color-prettylights-syntax-invalid-illegal-text: #ffffff;
+  --color-prettylights-syntax-invalid-illegal-bg: #e82a2f;
+  --color-prettylights-syntax-carriage-return-text: #ffffff;
+  --color-prettylights-syntax-carriage-return-bg: #ff4445;
+  --color-prettylights-syntax-string-regexp: #72f088;
+  --color-prettylights-syntax-markup-list: #fbd669;
+  --color-prettylights-syntax-markup-heading: #409eff;
+  --color-prettylights-syntax-markup-italic: #f0f3f6;
+  --color-prettylights-syntax-markup-bold: #f0f3f6;
+  --color-prettylights-syntax-markup-deleted-text: #ffdedb;
+  --color-prettylights-syntax-markup-deleted-bg: #cc1421;
+  --color-prettylights-syntax-markup-inserted-text: #acf7b6;
+  --color-prettylights-syntax-markup-inserted-bg: #007728;
+  --color-prettylights-syntax-markup-changed-text: #ffe1b4;
+  --color-prettylights-syntax-markup-changed-bg: #a74c00;
+  --color-prettylights-syntax-markup-ignored-text: #f0f3f6;
+  --color-prettylights-syntax-markup-ignored-bg: #318bf8;
+  --color-prettylights-syntax-meta-diff-range: #dbb7ff;
+  --color-prettylights-syntax-brackethighlighter-angle: #bdc4cc;
+  --color-prettylights-syntax-sublimelinter-gutter-mark: #7a828e;
+  --color-prettylights-syntax-constant-other-reference-link: #addcff;
+  --color-fg-default: #f0f3f6;
+  --color-fg-muted: #f0f3f6;
+  --color-fg-subtle: #9ea7b3;
+  --color-canvas-default: #0a0c10;
+  --color-canvas-subtle: #272b33;
+  --color-border-default: #7a828e;
+  --color-border-muted: #7a828e;
+  --color-neutral-muted: rgba(158,167,179,0.4);
+  --color-accent-fg: #71b7ff;
+  --color-accent-emphasis: #409eff;
+  --color-attention-subtle: rgba(224,155,19,0.15);
+  --color-danger-fg: #ff6a69;
+}
+@media (prefers-color-scheme: light) {
+  [data-color-mode='system'][data-light-theme=dark_high_contrast] {
+  /*dark_high_contrast*/
+  color-scheme: dark;
+  --color-prettylights-syntax-comment: #bdc4cc;
+  --color-prettylights-syntax-constant: #91cbff;
+  --color-prettylights-syntax-entity: #dbb7ff;
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+/*!
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+  Description: Highlight-js port of github.com theme
+  Author: github.com
+  Maintainer: @SNDST00M, @mjbvz
+  Updated: 2021-12-08
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+/*!
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+  Description: Theme as seen on github.com
+  Author: github.com
+  Maintainer: @Hirse
+  Updated: 2021-05-15
+
+  Outdated base version: https://github.com/primer/github-syntax-dark
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+                font-size: 14px;
+                line-height: 1.6;
+            }
+        </style>
+        <style>
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+    list-style-type: none;
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+
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+    <body class="vscode-body vscode-light">
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+            class="github-markdown-body"
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+            <div class="github-markdown-content"><span id="markdown-mermaid" aria-hidden="true"
+                    data-dark-mode-theme="dark"
+                    data-light-mode-theme="default"></span>
+                <p><img src="file:////Users/cbatters/git/amescap-master-planetary-science/AmesCAP/tutorial/tutorial_images/Tutorial_Banner_Final.png" alt=""></p>
+<p>This directory contains tutorial documents describing the installation and functionality for CAP as well as a set of practise exercises. It is a great place to start for new users.</p>
+<h1 id="1--introduction-to-cap-and-documentation-of-its-functionalities">1.  <a href="./CAP_lecture.html">Introduction to CAP and documentation of its functionalities</a></h1>
+<h1 id="2-step-by-step-installation">2. <a href="./CAP_Install.html">Step-by-step installation</a></h1>
+<h1 id="3-practise-exercises">3. <a href="./CAP_Exercises.html">Practise exercises</a></h1>
+</div>
+        </div>
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o=0;o<t.length;o++)t[o].transform(a);var s=new f(r.getMaxX(),r.getMaxY());return a.inverseTransformPoint(s)},y.branchRadialLayout=function(t,e,n,i,r,a){var o=(i-n+1)/2;o<0&&(o+=180);var s=(o+n)%360*p.TWO_PI/360,c=(Math.cos(s),r*Math.cos(s)),u=r*Math.sin(s);t.setCenter(c,u);var l=[],h=(l=l.concat(t.getEdges())).length;null!=e&&h--;for(var f,d=0,g=l.length,b=t.getEdgesBetween(e);b.length>1;){var w=b[0];b.splice(0,1);var m=l.indexOf(w);m>=0&&l.splice(m,1),g--,h--}f=null!=e?(l.indexOf(b[0])+1)%g:0;for(var v=Math.abs(i-n)/h,x=f;d!=h;x=++x%g){var k=l[x].getOtherEnd(t);if(k!=e){var _=(n+d*v)%360,E=(_+v)%360;y.branchRadialLayout(k,t,_,E,r+a,a),d++}}},y.maxDiagonalInTree=function(t){for(var e=g.MIN_VALUE,n=0;n<t.length;n++){var i=t[n].getDiagonal();i>e&&(e=i)}return e},y.prototype.calcRepulsionRange=function(){return 2*(this.level+1)*this.idealEdgeLength},y.prototype.groupZeroDegreeMembers=function(){var t=this,e={};this.memberGroups={},this.idToDummyNode={};for(var n=[],i=this.graphManager.getAllNodes(),r=0;r<i.length;r++){var a=(s=i[r]).getParent();0!==this.getNodeDegreeWithChildren(s)||null!=a.id&&this.getToBeTiled(a)||n.push(s)}for(r=0;r<n.length;r++){var s,c=(s=n[r]).getParent().id;void 0===e[c]&&(e[c]=[]),e[c]=e[c].concat(s)}Object.keys(e).forEach((function(n){if(e[n].length>1){var i="DummyCompound_"+n;t.memberGroups[i]=e[n];var r=e[n][0].getParent(),a=new o(t.graphManager);a.id=i,a.paddingLeft=r.paddingLeft||0,a.paddingRight=r.paddingRight||0,a.paddingBottom=r.paddingBottom||0,a.paddingTop=r.paddingTop||0,t.idToDummyNode[i]=a;var s=t.getGraphManager().add(t.newGraph(),a),c=r.getChild();c.add(a);for(var u=0;u<e[n].length;u++){var l=e[n][u];c.remove(l),s.add(l)}}}))},y.prototype.clearCompounds=function(){var t={},e={};this.performDFSOnCompounds();for(var n=0;n<this.compoundOrder.length;n++)e[this.compoundOrder[n].id]=this.compoundOrder[n],t[this.compoundOrder[n].id]=[].concat(this.compoundOrder[n].getChild().getNodes()),this.graphManager.remove(this.compoundOrder[n].getChild()),this.compoundOrder[n].child=null;this.graphManager.resetAllNodes(),this.tileCompoundMembers(t,e)},y.prototype.clearZeroDegreeMembers=function(){var t=this,e=this.tiledZeroDegreePack=[];Object.keys(this.memberGroups).forEach((function(n){var i=t.idToDummyNode[n];e[n]=t.tileNodes(t.memberGroups[n],i.paddingLeft+i.paddingRight),i.rect.width=e[n].width,i.rect.height=e[n].height}))},y.prototype.repopulateCompounds=function(){for(var t=this.compoundOrder.length-1;t>=0;t--){var e=this.compoundOrder[t],n=e.id,i=e.paddingLeft,r=e.paddingTop;this.adjustLocations(this.tiledMemberPack[n],e.rect.x,e.rect.y,i,r)}},y.prototype.repopulateZeroDegreeMembers=function(){var t=this,e=this.tiledZeroDegreePack;Object.keys(e).forEach((function(n){var i=t.idToDummyNode[n],r=i.paddingLeft,a=i.paddingTop;t.adjustLocations(e[n],i.rect.x,i.rect.y,r,a)}))},y.prototype.getToBeTiled=function(t){var e=t.id;if(null!=this.toBeTiled[e])return this.toBeTiled[e];var n=t.getChild();if(null==n)return this.toBeTiled[e]=!1,!1;for(var i=n.getNodes(),r=0;r<i.length;r++){var a=i[r];if(this.getNodeDegree(a)>0)return this.toBeTiled[e]=!1,!1;if(null!=a.getChild()){if(!this.getToBeTiled(a))return this.toBeTiled[e]=!1,!1}else this.toBeTiled[a.id]=!1}return this.toBeTiled[e]=!0,!0},y.prototype.getNodeDegree=function(t){t.id;for(var e=t.getEdges(),n=0,i=0;i<e.length;i++){var r=e[i];r.getSource().id!==r.getTarget().id&&(n+=1)}return n},y.prototype.getNodeDegreeWithChildren=function(t){var e=this.getNodeDegree(t);if(null==t.getChild())return e;for(var n=t.getChild().getNodes(),i=0;i<n.length;i++){var r=n[i];e+=this.getNodeDegreeWithChildren(r)}return e},y.prototype.performDFSOnCompounds=function(){this.compoundOrder=[],this.fillCompexOrderByDFS(this.graphManager.getRoot().getNodes())},y.prototype.fillCompexOrderByDFS=function(t){for(var e=0;e<t.length;e++){var n=t[e];null!=n.getChild()&&this.fillCompexOrderByDFS(n.getChild().getNodes()),this.getToBeTiled(n)&&this.compoundOrder.push(n)}},y.prototype.adjustLocations=function(t,e,n,i,r){n+=r;for(var a=e+=i,o=0;o<t.rows.length;o++){var s=t.rows[o];e=a;for(var c=0,u=0;u<s.length;u++){var l=s[u];l.rect.x=e,l.rect.y=n,e+=l.rect.width+t.horizontalPadding,l.rect.height>c&&(c=l.rect.height)}n+=c+t.verticalPadding}},y.prototype.tileCompoundMembers=function(t,e){var n=this;this.tiledMemberPack=[],Object.keys(t).forEach((function(i){var r=e[i];n.tiledMemberPack[i]=n.tileNodes(t[i],r.paddingLeft+r.paddingRight),r.rect.width=n.tiledMemberPack[i].width,r.rect.height=n.tiledMemberPack[i].height}))},y.prototype.tileNodes=function(t,e){var n={rows:[],rowWidth:[],rowHeight:[],width:0,height:e,verticalPadding:c.TILING_PADDING_VERTICAL,horizontalPadding:c.TILING_PADDING_HORIZONTAL};t.sort((function(t,e){return t.rect.width*t.rect.height>e.rect.width*e.rect.height?-1:t.rect.width*t.rect.height<e.rect.width*e.rect.height?1:0}));for(var i=0;i<t.length;i++){var r=t[i];0==n.rows.length?this.insertNodeToRow(n,r,0,e):this.canAddHorizontal(n,r.rect.width,r.rect.height)?this.insertNodeToRow(n,r,this.getShortestRowIndex(n),e):this.insertNodeToRow(n,r,n.rows.length,e),this.shiftToLastRow(n)}return n},y.prototype.insertNodeToRow=function(t,e,n,i){var r=i;n==t.rows.length&&(t.rows.push([]),t.rowWidth.push(r),t.rowHeight.push(0));var a=t.rowWidth[n]+e.rect.width;t.rows[n].length>0&&(a+=t.horizontalPadding),t.rowWidth[n]=a,t.width<a&&(t.width=a);var o=e.rect.height;n>0&&(o+=t.verticalPadding);var s=0;o>t.rowHeight[n]&&(s=t.rowHeight[n],t.rowHeight[n]=o,s=t.rowHeight[n]-s),t.height+=s,t.rows[n].push(e)},y.prototype.getShortestRowIndex=function(t){for(var e=-1,n=Number.MAX_VALUE,i=0;i<t.rows.length;i++)t.rowWidth[i]<n&&(e=i,n=t.rowWidth[i]);return e},y.prototype.getLongestRowIndex=function(t){for(var e=-1,n=Number.MIN_VALUE,i=0;i<t.rows.length;i++)t.rowWidth[i]>n&&(e=i,n=t.rowWidth[i]);return e},y.prototype.canAddHorizontal=function(t,e,n){var i=this.getShortestRowIndex(t);if(i<0)return!0;var r=t.rowWidth[i];if(r+t.horizontalPadding+e<=t.width)return!0;var a,o,s=0;return t.rowHeight[i]<n&&i>0&&(s=n+t.verticalPadding-t.rowHeight[i]),a=t.width-r>=e+t.horizontalPadding?(t.height+s)/(r+e+t.horizontalPadding):(t.height+s)/t.width,s=n+t.verticalPadding,(o=t.width<e?(t.height+s)/e:(t.height+s)/t.width)<1&&(o=1/o),a<1&&(a=1/a),a<o},y.prototype.shiftToLastRow=function(t){var e=this.getLongestRowIndex(t),n=t.rowWidth.length-1,i=t.rows[e],r=i[i.length-1],a=r.width+t.horizontalPadding;if(t.width-t.rowWidth[n]>a&&e!=n){i.splice(-1,1),t.rows[n].push(r),t.rowWidth[e]=t.rowWidth[e]-a,t.rowWidth[n]=t.rowWidth[n]+a,t.width=t.rowWidth[instance.getLongestRowIndex(t)];for(var o=Number.MIN_VALUE,s=0;s<i.length;s++)i[s].height>o&&(o=i[s].height);e>0&&(o+=t.verticalPadding);var c=t.rowHeight[e]+t.rowHeight[n];t.rowHeight[e]=o,t.rowHeight[n]<r.height+t.verticalPadding&&(t.rowHeight[n]=r.height+t.verticalPadding);var u=t.rowHeight[e]+t.rowHeight[n];t.height+=u-c,this.shiftToLastRow(t)}},y.prototype.tilingPreLayout=function(){c.TILE&&(this.groupZeroDegreeMembers(),this.clearCompounds(),this.clearZeroDegreeMembers())},y.prototype.tilingPostLayout=function(){c.TILE&&(this.repopulateZeroDegreeMembers(),this.repopulateCompounds())},y.prototype.reduceTrees=function(){for(var t,e=[],n=!0;n;){var i=this.graphManager.getAllNodes(),r=[];n=!1;for(var a=0;a<i.length;a++)1!=(t=i[a]).getEdges().length||t.getEdges()[0].isInterGraph||null!=t.getChild()||(r.push([t,t.getEdges()[0],t.getOwner()]),n=!0);if(1==n){for(var o=[],s=0;s<r.length;s++)1==r[s][0].getEdges().length&&(o.push(r[s]),r[s][0].getOwner().remove(r[s][0]));e.push(o),this.graphManager.resetAllNodes(),this.graphManager.resetAllEdges()}}this.prunedNodesAll=e},y.prototype.growTree=function(t){for(var e,n=t[t.length-1],i=0;i<n.length;i++)e=n[i],this.findPlaceforPrunedNode(e),e[2].add(e[0]),e[2].add(e[1],e[1].source,e[1].target);t.splice(t.length-1,1),this.graphManager.resetAllNodes(),this.graphManager.resetAllEdges()},y.prototype.findPlaceforPrunedNode=function(t){var e,n,i=t[0],r=(n=i==t[1].source?t[1].target:t[1].source).startX,a=n.finishX,o=n.startY,s=n.finishY,c=[0,0,0,0];if(o>0)for(var l=r;l<=a;l++)c[0]+=this.grid[l][o-1].length+this.grid[l][o].length-1;if(a<this.grid.length-1)for(l=o;l<=s;l++)c[1]+=this.grid[a+1][l].length+this.grid[a][l].length-1;if(s<this.grid[0].length-1)for(l=r;l<=a;l++)c[2]+=this.grid[l][s+1].length+this.grid[l][s].length-1;if(r>0)for(l=o;l<=s;l++)c[3]+=this.grid[r-1][l].length+this.grid[r][l].length-1;for(var h,f,d=g.MAX_VALUE,p=0;p<c.length;p++)c[p]<d?(d=c[p],h=1,f=p):c[p]==d&&h++;if(3==h&&0==d)0==c[0]&&0==c[1]&&0==c[2]?e=1:0==c[0]&&0==c[1]&&0==c[3]?e=0:0==c[0]&&0==c[2]&&0==c[3]?e=3:0==c[1]&&0==c[2]&&0==c[3]&&(e=2);else if(2==h&&0==d){var b=Math.floor(2*Math.random());e=0==c[0]&&0==c[1]?0==b?0:1:0==c[0]&&0==c[2]?0==b?0:2:0==c[0]&&0==c[3]?0==b?0:3:0==c[1]&&0==c[2]?0==b?1:2:0==c[1]&&0==c[3]?0==b?1:3:0==b?2:3}else e=4==h&&0==d?b=Math.floor(4*Math.random()):f;0==e?i.setCenter(n.getCenterX(),n.getCenterY()-n.getHeight()/2-u.DEFAULT_EDGE_LENGTH-i.getHeight()/2):1==e?i.setCenter(n.getCenterX()+n.getWidth()/2+u.DEFAULT_EDGE_LENGTH+i.getWidth()/2,n.getCenterY()):2==e?i.setCenter(n.getCenterX(),n.getCenterY()+n.getHeight()/2+u.DEFAULT_EDGE_LENGTH+i.getHeight()/2):i.setCenter(n.getCenterX()-n.getWidth()/2-u.DEFAULT_EDGE_LENGTH-i.getWidth()/2,n.getCenterY())},t.exports=y},function(t,e,n){"use strict";var i={};i.layoutBase=n(0),i.CoSEConstants=n(1),i.CoSEEdge=n(2),i.CoSEGraph=n(3),i.CoSEGraphManager=n(4),i.CoSELayout=n(6),i.CoSENode=n(5),t.exports=i}])},t.exports=i(n(2241))},4607:function(t,e,n){var i;i=function(t){return function(t){var e={};function n(i){if(e[i])return e[i].exports;var r=e[i]={i,l:!1,exports:{}};return t[i].call(r.exports,r,r.exports,n),r.l=!0,r.exports}return n.m=t,n.c=e,n.i=function(t){return t},n.d=function(t,e,i){n.o(t,e)||Object.defineProperty(t,e,{configurable:!1,enumerable:!0,get:i})},n.n=function(t){var e=t&&t.__esModule?function(){return t.default}:function(){return t};return n.d(e,"a",e),e},n.o=function(t,e){return Object.prototype.hasOwnProperty.call(t,e)},n.p="",n(n.s=1)}([function(e,n){e.exports=t},function(t,e,n){"use strict";var i=n(0).layoutBase.LayoutConstants,r=n(0).layoutBase.FDLayoutConstants,a=n(0).CoSEConstants,o=n(0).CoSELayout,s=n(0).CoSENode,c=n(0).layoutBase.PointD,u=n(0).layoutBase.DimensionD,l={ready:function(){},stop:function(){},quality:"default",nodeDimensionsIncludeLabels:!1,refresh:30,fit:!0,padding:10,randomize:!0,nodeRepulsion:4500,idealEdgeLength:50,edgeElasticity:.45,nestingFactor:.1,gravity:.25,numIter:2500,tile:!0,animate:"end",animationDuration:500,tilingPaddingVertical:10,tilingPaddingHorizontal:10,gravityRangeCompound:1.5,gravityCompound:1,gravityRange:3.8,initialEnergyOnIncremental:.5};function h(t){this.options=function(t,e){var n={};for(var i in t)n[i]=t[i];for(var i in e)n[i]=e[i];return n}(l,t),f(this.options)}var f=function(t){null!=t.nodeRepulsion&&(a.DEFAULT_REPULSION_STRENGTH=r.DEFAULT_REPULSION_STRENGTH=t.nodeRepulsion),null!=t.idealEdgeLength&&(a.DEFAULT_EDGE_LENGTH=r.DEFAULT_EDGE_LENGTH=t.idealEdgeLength),null!=t.edgeElasticity&&(a.DEFAULT_SPRING_STRENGTH=r.DEFAULT_SPRING_STRENGTH=t.edgeElasticity),null!=t.nestingFactor&&(a.PER_LEVEL_IDEAL_EDGE_LENGTH_FACTOR=r.PER_LEVEL_IDEAL_EDGE_LENGTH_FACTOR=t.nestingFactor),null!=t.gravity&&(a.DEFAULT_GRAVITY_STRENGTH=r.DEFAULT_GRAVITY_STRENGTH=t.gravity),null!=t.numIter&&(a.MAX_ITERATIONS=r.MAX_ITERATIONS=t.numIter),null!=t.gravityRange&&(a.DEFAULT_GRAVITY_RANGE_FACTOR=r.DEFAULT_GRAVITY_RANGE_FACTOR=t.gravityRange),null!=t.gravityCompound&&(a.DEFAULT_COMPOUND_GRAVITY_STRENGTH=r.DEFAULT_COMPOUND_GRAVITY_STRENGTH=t.gravityCompound),null!=t.gravityRangeCompound&&(a.DEFAULT_COMPOUND_GRAVITY_RANGE_FACTOR=r.DEFAULT_COMPOUND_GRAVITY_RANGE_FACTOR=t.gravityRangeCompound),null!=t.initialEnergyOnIncremental&&(a.DEFAULT_COOLING_FACTOR_INCREMENTAL=r.DEFAULT_COOLING_FACTOR_INCREMENTAL=t.initialEnergyOnIncremental),"draft"==t.quality?i.QUALITY=0:"proof"==t.quality?i.QUALITY=2:i.QUALITY=1,a.NODE_DIMENSIONS_INCLUDE_LABELS=r.NODE_DIMENSIONS_INCLUDE_LABELS=i.NODE_DIMENSIONS_INCLUDE_LABELS=t.nodeDimensionsIncludeLabels,a.DEFAULT_INCREMENTAL=r.DEFAULT_INCREMENTAL=i.DEFAULT_INCREMENTAL=!t.randomize,a.ANIMATE=r.ANIMATE=i.ANIMATE=t.animate,a.TILE=t.tile,a.TILING_PADDING_VERTICAL="function"==typeof t.tilingPaddingVertical?t.tilingPaddingVertical.call():t.tilingPaddingVertical,a.TILING_PADDING_HORIZONTAL="function"==typeof t.tilingPaddingHorizontal?t.tilingPaddingHorizontal.call():t.tilingPaddingHorizontal};h.prototype.run=function(){var t,e,n=this.options,i=(this.idToLNode={},this.layout=new o),r=this;r.stopped=!1,this.cy=this.options.cy,this.cy.trigger({type:"layoutstart",layout:this});var a=i.newGraphManager();this.gm=a;var s=this.options.eles.nodes(),c=this.options.eles.edges();this.root=a.addRoot(),this.processChildrenList(this.root,this.getTopMostNodes(s),i);for(var u=0;u<c.length;u++){var l=c[u],h=this.idToLNode[l.data("source")],f=this.idToLNode[l.data("target")];h!==f&&0==h.getEdgesBetween(f).length&&(a.add(i.newEdge(),h,f).id=l.id())}var d=function(t,e){"number"==typeof t&&(t=e);var n=t.data("id"),i=r.idToLNode[n];return{x:i.getRect().getCenterX(),y:i.getRect().getCenterY()}},g=function a(){for(var o,s=function(){n.fit&&n.cy.fit(n.eles,n.padding),t||(t=!0,r.cy.one("layoutready",n.ready),r.cy.trigger({type:"layoutready",layout:r}))},c=r.options.refresh,u=0;u<c&&!o;u++)o=r.stopped||r.layout.tick();if(o)return i.checkLayoutSuccess()&&!i.isSubLayout&&i.doPostLayout(),i.tilingPostLayout&&i.tilingPostLayout(),i.isLayoutFinished=!0,r.options.eles.nodes().positions(d),s(),r.cy.one("layoutstop",r.options.stop),r.cy.trigger({type:"layoutstop",layout:r}),e&&cancelAnimationFrame(e),void(t=!1);var l=r.layout.getPositionsData();n.eles.nodes().positions((function(t,e){if("number"==typeof t&&(t=e),!t.isParent()){for(var n=t.id(),i=l[n],r=t;null==i&&(i=l[r.data("parent")]||l["DummyCompound_"+r.data("parent")],l[n]=i,null!=(r=r.parent()[0])););return null!=i?{x:i.x,y:i.y}:{x:t.position("x"),y:t.position("y")}}})),s(),e=requestAnimationFrame(a)};return 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t=""+t,this._private.map.has(t)},Cu.getElementById=function(t){t=""+t;var e=this._private.cy,n=this._private.map.get(t);return n?n.ele:new Tu(e)},Cu.$id=Cu.getElementById,Cu.poolIndex=function(){var t=this._private.cy._private.elements,e=this[0]._private.data.id;return t._private.map.get(e).index},Cu.indexOf=function(t){var e=t[0]._private.data.id;return this._private.map.get(e).index},Cu.indexOfId=function(t){return t=""+t,this._private.map.get(t).index},Cu.json=function(t){var e=this.element(),n=this.cy();if(null==e&&t)return this;if(null!=e){var i=e._private;if(k(t)){if(n.startBatch(),t.data){e.data(t.data);var r=i.data;if(e.isEdge()){var a=!1,o={},s=t.data.source,c=t.data.target;null!=s&&s!=r.source&&(o.source=""+s,a=!0),null!=c&&c!=r.target&&(o.target=""+c,a=!0),a&&(e=e.move(o))}else{var u="parent"in t.data,l=t.data.parent;!u||null==l&&null==r.parent||l==r.parent||(void 0===l&&(l=null),null!=l&&(l=""+l),e=e.move({parent:l}))}}t.position&&e.position(t.position);var 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o,s=Mn(e.boundingBox?e.boundingBox:{x1:0,y1:0,w:n.width(),h:n.height()}),c={x:s.x1+s.w/2,y:s.y1+s.h/2},u=(void 0===e.sweep?2*Math.PI-2*Math.PI/a.length:e.sweep)/Math.max(1,a.length-1),l=0,h=0;h<a.length;h++){var f=a[h].layoutDimensions(e),d=f.w,g=f.h;l=Math.max(l,d,g)}if(o=E(e.radius)?e.radius:a.length<=1?0:Math.min(s.h,s.w)/2-l,a.length>1&&e.avoidOverlap){l*=1.75;var p=Math.cos(u)-Math.cos(0),b=Math.sin(u)-Math.sin(0),w=Math.sqrt(l*l/(p*p+b*b));o=Math.max(w,o)}var y=function(t,n){var i=e.startAngle+n*u*(r?1:-1),a=o*Math.cos(i),s=o*Math.sin(i);return{x:c.x+a,y:c.y+s}};return i.nodes().layoutPositions(this,e,y),this};var ml,vl={fit:!0,padding:30,startAngle:1.5*Math.PI,sweep:void 0,clockwise:!0,equidistant:!1,minNodeSpacing:10,boundingBox:void 0,avoidOverlap:!0,nodeDimensionsIncludeLabels:!1,height:void 0,width:void 0,spacingFactor:void 0,concentric:function(t){return t.degree()},levelWidth:function(t){return t.maxDegree()/4},animate:!1,animationDuration:500,animationEasing:void 0,animateFilter:function(t,e){return!0},ready:void 0,stop:void 0,transform:function(t,e){return e}};function xl(t){this.options=Q({},vl,t)}xl.prototype.run=function(){for(var t=this.options,e=t,n=void 0!==e.counterclockwise?!e.counterclockwise:e.clockwise,i=t.cy,r=e.eles,a=r.nodes().not(":parent"),o=Mn(e.boundingBox?e.boundingBox:{x1:0,y1:0,w:i.width(),h:i.height()}),s={x:o.x1+o.w/2,y:o.y1+o.h/2},c=[],u=0,l=0;l<a.length;l++){var h=a[l],f=void 0;f=e.concentric(h),c.push({value:f,node:h}),h._private.scratch.concentric=f}a.updateStyle();for(var d=0;d<a.length;d++){var g=a[d].layoutDimensions(e);u=Math.max(u,g.w,g.h)}c.sort((function(t,e){return e.value-t.value}));for(var p=e.levelWidth(a),b=[[]],w=b[0],y=0;y<c.length;y++){var m=c[y];w.length>0&&Math.abs(w[0].value-m.value)>=p&&(w=[],b.push(w)),w.push(m)}var v=u+e.minNodeSpacing;if(!e.avoidOverlap){var x=b.length>0&&b[0].length>1,k=(Math.min(o.w,o.h)/2-v)/(b.length+x?1:0);v=Math.min(v,k)}for(var _=0,E=0;E<b.length;E++){var T=b[E],C=void 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2048},nodeOverlap:4,idealEdgeLength:function(t){return 32},edgeElasticity:function(t){return 32},nestingFactor:1.2,gravity:1,numIter:1e3,initialTemp:1e3,coolingFactor:.99,minTemp:1};function _l(t){this.options=Q({},kl,t),this.options.layout=this}_l.prototype.run=function(){var t=this.options,e=t.cy,n=this;n.stopped=!1,!0!==t.animate&&!1!==t.animate||n.emit({type:"layoutstart",layout:n}),ml=!0===t.debug;var i=Tl(e,n,t);ml&&El(i),t.randomize&&Al(i);var r=ie(),a=function(){Il(i,e,t),!0===t.fit&&e.fit(t.padding)},o=function(e){return!(n.stopped||e>=t.numIter||(Ll(i,t),i.temperature=i.temperature*t.coolingFactor,i.temperature<t.minTemp))},s=function(){if(!0===t.animate||!1===t.animate)a(),n.one("layoutstop",t.stop),n.emit({type:"layoutstop",layout:n});else{var e=t.eles.nodes(),r=Ml(i,t,e);e.layoutPositions(n,t,r)}},c=0,u=!0;if(!0===t.animate)!function e(){for(var 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h=(b=r[c]).layoutDimensions(n);(O={}).isLocked=b.locked(),O.id=b.data("id"),O.parentId=b.data("parent"),O.cmptId=s[b.id()],O.children=[],O.positionX=b.position("x"),O.positionY=b.position("y"),O.offsetX=0,O.offsetY=0,O.height=h.w,O.width=h.h,O.maxX=O.positionX+O.width/2,O.minX=O.positionX-O.width/2,O.maxY=O.positionY+O.height/2,O.minY=O.positionY-O.height/2,O.padLeft=parseFloat(b.style("padding")),O.padRight=parseFloat(b.style("padding")),O.padTop=parseFloat(b.style("padding")),O.padBottom=parseFloat(b.style("padding")),O.nodeRepulsion=v(n.nodeRepulsion)?n.nodeRepulsion(b):n.nodeRepulsion,a.layoutNodes.push(O),a.idToIndex[O.id]=c}var f=[],d=0,g=-1,p=[];for(c=0;c<a.nodeSize;c++){var b,w=(b=a.layoutNodes[c]).parentId;null!=w?a.layoutNodes[a.idToIndex[w]].children.push(b.id):(f[++g]=b.id,p.push(b.id))}for(a.graphSet.push(p);d<=g;){var y=f[d++],m=a.idToIndex[y],x=a.layoutNodes[m].children;if(x.length>0)for(a.graphSet.push(x),c=0;c<x.length;c++)f[++g]=x[c]}for(c=0;c<a.graphSet.length;c++){var k=a.graphSet[c];for(l=0;l<k.length;l++){var _=a.idToIndex[k[l]];a.indexToGraph[_]=c}}for(c=0;c<a.edgeSize;c++){var E=i[c],T={};T.id=E.data("id"),T.sourceId=E.data("source"),T.targetId=E.data("target");var C=v(n.idealEdgeLength)?n.idealEdgeLength(E):n.idealEdgeLength,S=v(n.edgeElasticity)?n.edgeElasticity(E):n.edgeElasticity,A=a.idToIndex[T.sourceId],M=a.idToIndex[T.targetId];if(a.indexToGraph[A]!=a.indexToGraph[M]){for(var I=Cl(T.sourceId,T.targetId,a),L=a.graphSet[I],D=0,O=a.layoutNodes[A];-1===L.indexOf(O.id);)O=a.layoutNodes[a.idToIndex[O.parentId]],D++;for(O=a.layoutNodes[M];-1===L.indexOf(O.id);)O=a.layoutNodes[a.idToIndex[O.parentId]],D++;C*=D*n.nestingFactor}T.idealLength=C,T.elasticity=S,a.layoutEdges.push(T)}return a},Cl=function(t,e,n){var i=Sl(t,e,0,n);return 2>i.count?0:i.graph},Sl=function t(e,n,i,r){var 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e,n,i,r,a,o,s=t._private.rscratch,c="haystack"===s.edgeType,u="bezier"===s.edgeType,l="multibezier"===s.edgeType,h="segments"===s.edgeType,f="compound"===s.edgeType,d="self"===s.edgeType;if(c?(i=s.haystackPts[0],r=s.haystackPts[1],a=s.haystackPts[2],o=s.haystackPts[3]):(i=s.arrowStartX,r=s.arrowStartY,a=s.arrowEndX,o=s.arrowEndY),p=s.midX,b=s.midY,h)e=i-s.segpts[0],n=r-s.segpts[1];else if(l||f||d||u){var g=s.allpts;e=i-Tn(g[0],g[2],g[4],.1),n=r-Tn(g[1],g[3],g[5],.1)}else e=i-p,n=r-b;s.srcArrowAngle=mn(e,n);var p=s.midX,b=s.midY;if(c&&(p=(i+a)/2,b=(r+o)/2),e=a-i,n=o-r,h)if((g=s.allpts).length/2%2==0){var w=(y=g.length/2)-2;e=g[y]-g[w],n=g[y+1]-g[w+1]}else{w=(y=g.length/2-1)-2;var y,m=y+2;e=g[y]-g[w],n=g[y+1]-g[w+1]}else if(l||f||d){var v,x,k,_,g=s.allpts;if(s.ctrlpts.length/2%2==0){var E=2+(T=2+(C=g.length/2-1));v=Tn(g[C],g[T],g[E],0),x=Tn(g[C+1],g[T+1],g[E+1],0),k=Tn(g[C],g[T],g[E],1e-4),_=Tn(g[C+1],g[T+1],g[E+1],1e-4)}else{var T,C;E=2+(T=g.length/2-1),v=Tn(g[C=T-2],g[T],g[E],.4999),x=Tn(g[C+1],g[T+1],g[E+1],.4999),k=Tn(g[C],g[T],g[E],.5),_=Tn(g[C+1],g[T+1],g[E+1],.5)}e=k-v,n=_-x}if(s.midtgtArrowAngle=mn(e,n),s.midDispX=e,s.midDispY=n,e*=-1,n*=-1,h&&((g=s.allpts).length/2%2==0||(e=-(g[m=2+(y=g.length/2-1)]-g[y]),n=-(g[m+1]-g[y+1]))),s.midsrcArrowAngle=mn(e,n),h)e=a-s.segpts[s.segpts.length-2],n=o-s.segpts[s.segpts.length-1];else if(l||f||d||u){var S=(g=s.allpts).length;e=a-Tn(g[S-6],g[S-4],g[S-2],.9),n=o-Tn(g[S-5],g[S-3],g[S-1],.9)}else e=a-p,n=o-b;s.tgtArrowAngle=mn(e,n)}};rh.getArrowWidth=rh.getArrowHeight=function(t,e){var n=this.arrowWidthCache=this.arrowWidthCache||{},i=n[t+", "+e];return i||(i=Math.max(Math.pow(13.37*t,.9),29)*e,n[t+", "+e]=i,i)};var ah={};function oh(t){var e=[];if(null!=t){for(var n=0;n<t.length;n+=2){var i=t[n],r=t[n+1];e.push({x:i,y:r})}return e}}ah.findHaystackPoints=function(t){for(var e=0;e<t.length;e++){var n=t[e],i=n._private,r=i.rscratch;if(!r.haystack){var a=2*Math.random()*Math.PI;r.source={x:Math.cos(a),y:Math.sin(a)},a=2*Math.random()*Math.PI,r.target={x:Math.cos(a),y:Math.sin(a)}}var o=i.source,s=i.target,c=o.position(),u=s.position(),l=o.width(),h=s.width(),f=o.height(),d=s.height(),g=n.pstyle("haystack-radius").value/2;r.haystackPts=r.allpts=[r.source.x*l*g+c.x,r.source.y*f*g+c.y,r.target.x*h*g+u.x,r.target.y*d*g+u.y],r.midX=(r.allpts[0]+r.allpts[2])/2,r.midY=(r.allpts[1]+r.allpts[3])/2,r.edgeType="haystack",r.haystack=!0,this.storeEdgeProjections(n),this.calculateArrowAngles(n),this.recalculateEdgeLabelProjections(n),this.calculateLabelAngles(n)}},ah.findSegmentsPoints=function(t,e){var n=t._private.rscratch,i=e.posPts,r=e.intersectionPts,a=e.vectorNormInverse,o=t.pstyle("edge-distances").value,s=t.pstyle("segment-weights"),c=t.pstyle("segment-distances"),u=Math.min(s.pfValue.length,c.pfValue.length);n.edgeType="segments",n.segpts=[];for(var l=0;l<u;l++){var h=s.pfValue[l],f=c.pfValue[l],d=1-h,g=h,p="node-position"===o?i:r,b={x:p.x1*d+p.x2*g,y:p.y1*d+p.y2*g};n.segpts.push(b.x+a.x*f,b.y+a.y*f)}},ah.findLoopPoints=function(t,e,n,i){var r=t._private.rscratch,a=e.dirCounts,o=e.srcPos,s=t.pstyle("control-point-distances"),c=s?s.pfValue[0]:void 0,u=t.pstyle("loop-direction").pfValue,l=t.pstyle("loop-sweep").pfValue,h=t.pstyle("control-point-step-size").pfValue;r.edgeType="self";var f=n,d=h;i&&(f=0,d=c);var g=u-Math.PI/2,p=g-l/2,b=g+l/2,w=String(u+"_"+l);f=void 0===a[w]?a[w]=0:++a[w],r.ctrlpts=[o.x+1.4*Math.cos(p)*d*(f/3+1),o.y+1.4*Math.sin(p)*d*(f/3+1),o.x+1.4*Math.cos(b)*d*(f/3+1),o.y+1.4*Math.sin(b)*d*(f/3+1)]},ah.findCompoundLoopPoints=function(t,e,n,i){var r=t._private.rscratch;r.edgeType="compound";var a=e.srcPos,o=e.tgtPos,s=e.srcW,c=e.srcH,u=e.tgtW,l=e.tgtH,h=t.pstyle("control-point-step-size").pfValue,f=t.pstyle("control-point-distances"),d=f?f.pfValue[0]:void 0,g=n,p=h;i&&(g=0,p=d);var b=50,w={x:a.x-s/2,y:a.y-c/2},y={x:o.x-u/2,y:o.y-l/2},m={x:Math.min(w.x,y.x),y:Math.min(w.y,y.y)},v=.5,x=Math.max(v,Math.log(.01*s)),k=Math.max(v,Math.log(.01*u));r.ctrlpts=[m.x,m.y-(1+Math.pow(b,1.12)/100)*p*(g/3+1)*x,m.x-(1+Math.pow(b,1.12)/100)*p*(g/3+1)*k,m.y]},ah.findStraightEdgePoints=function(t){t._private.rscratch.edgeType="straight"},ah.findBezierPoints=function(t,e,n,i,r){var a=t._private.rscratch,o=e.vectorNormInverse,s=e.posPts,c=e.intersectionPts,u=t.pstyle("edge-distances").value,l=t.pstyle("control-point-step-size").pfValue,h=t.pstyle("control-point-distances"),f=t.pstyle("control-point-weights"),d=h&&f?Math.min(h.value.length,f.value.length):1,g=h?h.pfValue[0]:void 0,p=f.value[0],b=i;a.edgeType=b?"multibezier":"bezier",a.ctrlpts=[];for(var w=0;w<d;w++){var y=(.5-e.eles.length/2+n)*l*(r?-1:1),m=void 0,v=xn(y);b&&(g=h?h.pfValue[w]:l,p=f.value[w]);var x=void 0!==(m=i?g:void 0!==g?v*g:void 0)?m:y,k=1-p,_=p,E="node-position"===u?s:c,T={x:E.x1*k+E.x2*_,y:E.y1*k+E.y2*_};a.ctrlpts.push(T.x+o.x*x,T.y+o.y*x)}},ah.findTaxiPoints=function(t,e){var n=t._private.rscratch;n.edgeType="segments";var i="vertical",r="horizontal",a="leftward",o="rightward",s="downward",c="upward",u="auto",l=e.posPts,h=e.srcW,f=e.srcH,d=e.tgtW,g=e.tgtH,p="node-position"!==t.pstyle("edge-distances").value,b=t.pstyle("taxi-direction").value,w=b,y=t.pstyle("taxi-turn"),m="%"===y.units,v=y.pfValue,x=v<0,k=t.pstyle("taxi-turn-min-distance").pfValue,_=p?(h+d)/2:0,E=p?(f+g)/2:0,T=l.x2-l.x1,C=l.y2-l.y1,S=function(t,e){return t>0?Math.max(t-e,0):Math.min(t+e,0)},A=S(T,_),M=S(C,E),I=!1;w===u?b=Math.abs(A)>Math.abs(M)?r:i:w===c||w===s?(b=i,I=!0):w!==a&&w!==o||(b=r,I=!0);var L,D=b===i,O=D?M:A,N=D?C:T,P=xn(N),B=!1;I&&(m||x)||!(w===s&&N<0||w===c&&N>0||w===a&&N>0||w===o&&N<0)||(O=(P*=-1)*Math.abs(O),B=!0);var F=function(t){return Math.abs(t)<k||Math.abs(t)>=Math.abs(O)},R=F(L=m?(v<0?1+v:v)*O:(v<0?O:0)+v*P),$=F(Math.abs(O)-Math.abs(L));if(!R&&!$||B)if(D){var j=l.y1+L+(p?f/2*P:0),z=l.x1,q=l.x2;n.segpts=[z,j,q,j]}else{var H=l.x1+L+(p?h/2*P:0),Z=l.y1,U=l.y2;n.segpts=[H,Z,H,U]}else if(D){var Y=Math.abs(N)<=f/2,G=Math.abs(T)<=d/2;if(Y){var K=(l.x1+l.x2)/2,W=l.y1,X=l.y2;n.segpts=[K,W,K,X]}else if(G){var V=(l.y1+l.y2)/2,Q=l.x1,J=l.x2;n.segpts=[Q,V,J,V]}else n.segpts=[l.x1,l.y2]}else{var tt=Math.abs(N)<=h/2,et=Math.abs(C)<=g/2;if(tt){var nt=(l.y1+l.y2)/2,it=l.x1,rt=l.x2;n.segpts=[it,nt,rt,nt]}else if(et){var at=(l.x1+l.x2)/2,ot=l.y1,st=l.y2;n.segpts=[at,ot,at,st]}else n.segpts=[l.x2,l.y1]}},ah.tryToCorrectInvalidPoints=function(t,e){var n=t._private.rscratch;if("bezier"===n.edgeType){var i=e.srcPos,r=e.tgtPos,a=e.srcW,o=e.srcH,s=e.tgtW,c=e.tgtH,u=e.srcShape,l=e.tgtShape,h=!E(n.startX)||!E(n.startY),f=!E(n.arrowStartX)||!E(n.arrowStartY),d=!E(n.endX)||!E(n.endY),g=!E(n.arrowEndX)||!E(n.arrowEndY),p=this.getArrowWidth(t.pstyle("width").pfValue,t.pstyle("arrow-scale").value)*this.arrowShapeWidth*3,b=kn({x:n.ctrlpts[0],y:n.ctrlpts[1]},{x:n.startX,y:n.startY}),w=b<p,y=kn({x:n.ctrlpts[0],y:n.ctrlpts[1]},{x:n.endX,y:n.endY}),m=y<p,v=!1;if(h||f||w){v=!0;var x={x:n.ctrlpts[0]-i.x,y:n.ctrlpts[1]-i.y},k=Math.sqrt(x.x*x.x+x.y*x.y),_={x:x.x/k,y:x.y/k},T=Math.max(a,o),C={x:n.ctrlpts[0]+2*_.x*T,y:n.ctrlpts[1]+2*_.y*T},S=u.intersectLine(i.x,i.y,a,o,C.x,C.y,0);w?(n.ctrlpts[0]=n.ctrlpts[0]+_.x*(p-b),n.ctrlpts[1]=n.ctrlpts[1]+_.y*(p-b)):(n.ctrlpts[0]=S[0]+_.x*p,n.ctrlpts[1]=S[1]+_.y*p)}if(d||g||m){v=!0;var A={x:n.ctrlpts[0]-r.x,y:n.ctrlpts[1]-r.y},M=Math.sqrt(A.x*A.x+A.y*A.y),I={x:A.x/M,y:A.y/M},L=Math.max(a,o),D={x:n.ctrlpts[0]+2*I.x*L,y:n.ctrlpts[1]+2*I.y*L},O=l.intersectLine(r.x,r.y,s,c,D.x,D.y,0);m?(n.ctrlpts[0]=n.ctrlpts[0]+I.x*(p-y),n.ctrlpts[1]=n.ctrlpts[1]+I.y*(p-y)):(n.ctrlpts[0]=O[0]+I.x*p,n.ctrlpts[1]=O[1]+I.y*p)}v&&this.findEndpoints(t)}},ah.storeAllpts=function(t){var e=t._private.rscratch;if("multibezier"===e.edgeType||"bezier"===e.edgeType||"self"===e.edgeType||"compound"===e.edgeType){e.allpts=[],e.allpts.push(e.startX,e.startY);for(var n=0;n+1<e.ctrlpts.length;n+=2)e.allpts.push(e.ctrlpts[n],e.ctrlpts[n+1]),n+3<e.ctrlpts.length&&e.allpts.push((e.ctrlpts[n]+e.ctrlpts[n+2])/2,(e.ctrlpts[n+1]+e.ctrlpts[n+3])/2);var i,r;e.allpts.push(e.endX,e.endY),e.ctrlpts.length/2%2==0?(i=e.allpts.length/2-1,e.midX=e.allpts[i],e.midY=e.allpts[i+1]):(i=e.allpts.length/2-3,r=.5,e.midX=Tn(e.allpts[i],e.allpts[i+2],e.allpts[i+4],r),e.midY=Tn(e.allpts[i+1],e.allpts[i+3],e.allpts[i+5],r))}else if("straight"===e.edgeType)e.allpts=[e.startX,e.startY,e.endX,e.endY],e.midX=(e.startX+e.endX+e.arrowStartX+e.arrowEndX)/4,e.midY=(e.startY+e.endY+e.arrowStartY+e.arrowEndY)/4;else if("segments"===e.edgeType)if(e.allpts=[],e.allpts.push(e.startX,e.startY),e.allpts.push.apply(e.allpts,e.segpts),e.allpts.push(e.endX,e.endY),e.segpts.length%4==0){var a=e.segpts.length/2,o=a-2;e.midX=(e.segpts[o]+e.segpts[a])/2,e.midY=(e.segpts[o+1]+e.segpts[a+1])/2}else{var s=e.segpts.length/2-1;e.midX=e.segpts[s],e.midY=e.segpts[s+1]}},ah.checkForInvalidEdgeWarning=function(t){var e=t[0]._private.rscratch;e.nodesOverlap||E(e.startX)&&E(e.startY)&&E(e.endX)&&E(e.endY)?e.loggedErr=!1:e.loggedErr||(e.loggedErr=!0,Se("Edge `"+t.id()+"` has invalid endpoints and so it is impossible to draw.  Adjust your edge style (e.g. control points) accordingly or use an alternative edge type.  This is expected behaviour when the source node and the target node overlap."))},ah.findEdgeControlPoints=function(t){var e=this;if(t&&0!==t.length){for(var n=this,i=n.cy.hasCompoundNodes(),r={map:new ze,get:function(t){var e=this.map.get(t[0]);return null!=e?e.get(t[1]):null},set:function(t,e){var n=this.map.get(t[0]);null==n&&(n=new ze,this.map.set(t[0],n)),n.set(t[1],e)}},a=[],o=[],s=0;s<t.length;s++){var c=t[s],u=c._private,l=c.pstyle("curve-style").value;if(!c.removed()&&c.takesUpSpace())if("haystack"!==l){var h="unbundled-bezier"===l||"segments"===l||"straight"===l||"straight-triangle"===l||"taxi"===l,f="unbundled-bezier"===l||"bezier"===l,d=u.source,g=u.target,p=[d.poolIndex(),g.poolIndex()].sort(),b=r.get(p);null==b&&(b={eles:[]},r.set(p,b),a.push(p)),b.eles.push(c),h&&(b.hasUnbundled=!0),f&&(b.hasBezier=!0)}else o.push(c)}for(var w=function(t){var o=a[t],s=r.get(o),c=void 0;if(!s.hasUnbundled){var u=s.eles[0].parallelEdges().filter((function(t){return t.isBundledBezier()}));Be(s.eles),u.forEach((function(t){return s.eles.push(t)})),s.eles.sort((function(t,e){return t.poolIndex()-e.poolIndex()}))}var l=s.eles[0],h=l.source(),f=l.target();if(h.poolIndex()>f.poolIndex()){var d=h;h=f,f=d}var g=s.srcPos=h.position(),p=s.tgtPos=f.position(),b=s.srcW=h.outerWidth(),w=s.srcH=h.outerHeight(),y=s.tgtW=f.outerWidth(),m=s.tgtH=f.outerHeight(),v=s.srcShape=n.nodeShapes[e.getNodeShape(h)],x=s.tgtShape=n.nodeShapes[e.getNodeShape(f)];s.dirCounts={north:0,west:0,south:0,east:0,northwest:0,southwest:0,northeast:0,southeast:0};for(var k=0;k<s.eles.length;k++){var _=s.eles[k],T=_[0]._private.rscratch,C=_.pstyle("curve-style").value,S="unbundled-bezier"===C||"segments"===C||"taxi"===C,A=!h.same(_.source());if(!s.calculatedIntersection&&h!==f&&(s.hasBezier||s.hasUnbundled)){s.calculatedIntersection=!0;var M=v.intersectLine(g.x,g.y,b,w,p.x,p.y,0),I=s.srcIntn=M,L=x.intersectLine(p.x,p.y,y,m,g.x,g.y,0),D=s.tgtIntn=L,O=s.intersectionPts={x1:M[0],x2:L[0],y1:M[1],y2:L[1]},N=s.posPts={x1:g.x,x2:p.x,y1:g.y,y2:p.y},P=L[1]-M[1],B=L[0]-M[0],F=Math.sqrt(B*B+P*P),R=s.vector={x:B,y:P},$=s.vectorNorm={x:R.x/F,y:R.y/F},j={x:-$.y,y:$.x};s.nodesOverlap=!E(F)||x.checkPoint(M[0],M[1],0,y,m,p.x,p.y)||v.checkPoint(L[0],L[1],0,b,w,g.x,g.y),s.vectorNormInverse=j,c={nodesOverlap:s.nodesOverlap,dirCounts:s.dirCounts,calculatedIntersection:!0,hasBezier:s.hasBezier,hasUnbundled:s.hasUnbundled,eles:s.eles,srcPos:p,tgtPos:g,srcW:y,srcH:m,tgtW:b,tgtH:w,srcIntn:D,tgtIntn:I,srcShape:x,tgtShape:v,posPts:{x1:N.x2,y1:N.y2,x2:N.x1,y2:N.y1},intersectionPts:{x1:O.x2,y1:O.y2,x2:O.x1,y2:O.y1},vector:{x:-R.x,y:-R.y},vectorNorm:{x:-$.x,y:-$.y},vectorNormInverse:{x:-j.x,y:-j.y}}}var z=A?c:s;T.nodesOverlap=z.nodesOverlap,T.srcIntn=z.srcIntn,T.tgtIntn=z.tgtIntn,i&&(h.isParent()||h.isChild()||f.isParent()||f.isChild())&&(h.parents().anySame(f)||f.parents().anySame(h)||h.same(f)&&h.isParent())?e.findCompoundLoopPoints(_,z,k,S):h===f?e.findLoopPoints(_,z,k,S):"segments"===C?e.findSegmentsPoints(_,z):"taxi"===C?e.findTaxiPoints(_,z):"straight"===C||!S&&s.eles.length%2==1&&k===Math.floor(s.eles.length/2)?e.findStraightEdgePoints(_):e.findBezierPoints(_,z,k,S,A),e.findEndpoints(_),e.tryToCorrectInvalidPoints(_,z),e.checkForInvalidEdgeWarning(_),e.storeAllpts(_),e.storeEdgeProjections(_),e.calculateArrowAngles(_),e.recalculateEdgeLabelProjections(_),e.calculateLabelAngles(_)}},y=0;y<a.length;y++)w(y);this.findHaystackPoints(o)}},ah.getSegmentPoints=function(t){var e=t[0]._private.rscratch;if("segments"===e.edgeType)return this.recalculateRenderedStyle(t),oh(e.segpts)},ah.getControlPoints=function(t){var e=t[0]._private.rscratch,n=e.edgeType;if("bezier"===n||"multibezier"===n||"self"===n||"compound"===n)return this.recalculateRenderedStyle(t),oh(e.ctrlpts)},ah.getEdgeMidpoint=function(t){var e=t[0]._private.rscratch;return this.recalculateRenderedStyle(t),{x:e.midX,y:e.midY}};var sh={manualEndptToPx:function(t,e){var n=this,i=t.position(),r=t.outerWidth(),a=t.outerHeight();if(2===e.value.length){var o=[e.pfValue[0],e.pfValue[1]];return"%"===e.units[0]&&(o[0]=o[0]*r),"%"===e.units[1]&&(o[1]=o[1]*a),o[0]+=i.x,o[1]+=i.y,o}var s=e.pfValue[0];s=-Math.PI/2+s;var c=2*Math.max(r,a),u=[i.x+Math.cos(s)*c,i.y+Math.sin(s)*c];return n.nodeShapes[this.getNodeShape(t)].intersectLine(i.x,i.y,r,a,u[0],u[1],0)},findEndpoints:function(t){var e,n,i,r,a,o=this,s=t.source()[0],c=t.target()[0],u=s.position(),l=c.position(),h=t.pstyle("target-arrow-shape").value,f=t.pstyle("source-arrow-shape").value,d=t.pstyle("target-distance-from-node").pfValue,g=t.pstyle("source-distance-from-node").pfValue,p=t.pstyle("curve-style").value,b=t._private.rscratch,w=b.edgeType,y="self"===w||"compound"===w,m="bezier"===w||"multibezier"===w||y,v="bezier"!==w,x="straight"===w||"segments"===w,k="segments"===w,_=m||v||x,T=y||"taxi"===p,C=t.pstyle("source-endpoint"),S=T?"outside-to-node":C.value,A=t.pstyle("target-endpoint"),M=T?"outside-to-node":A.value;if(b.srcManEndpt=C,b.tgtManEndpt=A,m){var I=[b.ctrlpts[0],b.ctrlpts[1]];n=v?[b.ctrlpts[b.ctrlpts.length-2],b.ctrlpts[b.ctrlpts.length-1]]:I,i=I}else if(x){var L=k?b.segpts.slice(0,2):[l.x,l.y];n=k?b.segpts.slice(b.segpts.length-2):[u.x,u.y],i=L}if("inside-to-node"===M)e=[l.x,l.y];else if(A.units)e=this.manualEndptToPx(c,A);else if("outside-to-line"===M)e=b.tgtIntn;else 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vh={getCachedImage:function(t,e,n){var i=this,r=i.imageCache=i.imageCache||{},a=r[t];if(a)return a.image.complete||a.image.addEventListener("load",n),a.image;var o=(a=r[t]=r[t]||{}).image=new Image;o.addEventListener("load",n),o.addEventListener("error",(function(){o.error=!0}));var s="data:";return t.substring(0,s.length).toLowerCase()===s||(o.crossOrigin=e),o.src=t,o}},xh={registerBinding:function(t,e,n,i){var r=Array.prototype.slice.apply(arguments,[1]),a=this.binder(t);return a.on.apply(a,r)},binder:function(t){var e=this,n=t===window||t===document||t===document.body||N(t);if(null==e.supportsPassiveEvents){var i=!1;try{var r=Object.defineProperty({},"passive",{get:function(){return i=!0,!0}});window.addEventListener("test",null,r)}catch(t){}e.supportsPassiveEvents=i}var a=function(i,r,a){var o=Array.prototype.slice.call(arguments);return n&&e.supportsPassiveEvents&&(o[2]={capture:null!=a&&a,passive:!1,once:!1}),e.bindings.push({target:t,args:o}),(t.addEventListener||t.on).apply(t,o),this};return{on:a,addEventListener:a,addListener:a,bind:a}},nodeIsDraggable:function(t){return t&&t.isNode()&&!t.locked()&&t.grabbable()},nodeIsGrabbable:function(t){return this.nodeIsDraggable(t)&&t.interactive()},load:function(){var t=this,e=function(t){return t.selected()},n=function(e,n,i,r){null==e&&(e=t.cy);for(var a=0;a<n.length;a++){var o=n[a];e.emit({originalEvent:i,type:o,position:r})}},i=function(t){return t.shiftKey||t.metaKey||t.ctrlKey},r=function(e,n){var i=!0;if(t.cy.hasCompoundNodes()&&e&&e.pannable()){for(var r=0;n&&r<n.length;r++)if((e=n[r]).isNode()&&e.isParent()&&!e.pannable()){i=!1;break}}else i=!0;return i},a=function(t){t[0]._private.grabbed=!0},o=function(t){t[0]._private.grabbed=!1},s=function(t){t[0]._private.rscratch.inDragLayer=!0},c=function(t){t[0]._private.rscratch.inDragLayer=!1},u=function(t){t[0]._private.rscratch.isGrabTarget=!0},l=function(t){t[0]._private.rscratch.isGrabTarget=!1},h=function(t,e){var n=e.addToList;n.has(t)||!t.grabbable()||t.locked()||(n.merge(t),a(t))},f=function(t,e){if(t.cy().hasCompoundNodes()&&(null!=e.inDragLayer||null!=e.addToList)){var n=t.descendants();e.inDragLayer&&(n.forEach(s),n.connectedEdges().forEach(s)),e.addToList&&h(n,e)}},d=function(e,n){n=n||{};var i=e.cy().hasCompoundNodes();n.inDragLayer&&(e.forEach(s),e.neighborhood().stdFilter((function(t){return!i||t.isEdge()})).forEach(s)),n.addToList&&e.forEach((function(t){h(t,n)})),f(e,n),b(e,{inDragLayer:n.inDragLayer}),t.updateCachedGrabbedEles()},g=d,p=function(e){e&&(t.getCachedZSortedEles().forEach((function(t){o(t),c(t),l(t)})),t.updateCachedGrabbedEles())},b=function(t,e){if((null!=e.inDragLayer||null!=e.addToList)&&t.cy().hasCompoundNodes()){var n=t.ancestors().orphans();if(!n.same(t)){var i=n.descendants().spawnSelf().merge(n).unmerge(t).unmerge(t.descendants()),r=i.connectedEdges();e.inDragLayer&&(r.forEach(s),i.forEach(s)),e.addToList&&i.forEach((function(t){h(t,e)}))}}},w=function(){null!=document.activeElement&&null!=document.activeElement.blur&&document.activeElement.blur()},y="undefined"!=typeof MutationObserver,m="undefined"!=typeof ResizeObserver;y?(t.removeObserver=new MutationObserver((function(e){for(var n=0;n<e.length;n++){var i=e[n].removedNodes;if(i)for(var r=0;r<i.length;r++)if(i[r]===t.container){t.destroy();break}}})),t.container.parentNode&&t.removeObserver.observe(t.container.parentNode,{childList:!0})):t.registerBinding(t.container,"DOMNodeRemoved",(function(e){t.destroy()}));var v=Qt((function(){t.cy.resize()}),100);y&&(t.styleObserver=new MutationObserver(v),t.styleObserver.observe(t.container,{attributes:!0})),t.registerBinding(window,"resize",v),m&&(t.resizeObserver=new ResizeObserver(v),t.resizeObserver.observe(t.container));var x=function(t,e){for(;null!=t;)e(t),t=t.parentNode},k=function(){t.invalidateContainerClientCoordsCache()};x(t.container,(function(e){t.registerBinding(e,"transitionend",k),t.registerBinding(e,"animationend",k),t.registerBinding(e,"scroll",k)})),t.registerBinding(t.container,"contextmenu",(function(t){t.preventDefault()}));var _,T,C,S=function(){return 0!==t.selection[4]},A=function(e){for(var n=t.findContainerClientCoords(),i=n[0],r=n[1],a=n[2],o=n[3],s=e.touches?e.touches:[e],c=!1,u=0;u<s.length;u++){var l=s[u];if(i<=l.clientX&&l.clientX<=i+a&&r<=l.clientY&&l.clientY<=r+o){c=!0;break}}if(!c)return!1;for(var h=t.container,f=e.target.parentNode,d=!1;f;){if(f===h){d=!0;break}f=f.parentNode}return!!d};t.registerBinding(t.container,"mousedown",(function(e){if(A(e)){e.preventDefault(),w(),t.hoverData.capture=!0,t.hoverData.which=e.which;var i=t.cy,r=[e.clientX,e.clientY],a=t.projectIntoViewport(r[0],r[1]),o=t.selection,s=t.findNearestElements(a[0],a[1],!0,!1),c=s[0],l=t.dragData.possibleDragElements;t.hoverData.mdownPos=a,t.hoverData.mdownGPos=r;var h=function(){t.hoverData.tapholdCancelled=!1,clearTimeout(t.hoverData.tapholdTimeout),t.hoverData.tapholdTimeout=setTimeout((function(){if(!t.hoverData.tapholdCancelled){var n=t.hoverData.down;n?n.emit({originalEvent:e,type:"taphold",position:{x:a[0],y:a[1]}}):i.emit({originalEvent:e,type:"taphold",position:{x:a[0],y:a[1]}})}}),t.tapholdDuration)};if(3==e.which){t.hoverData.cxtStarted=!0;var f={originalEvent:e,type:"cxttapstart",position:{x:a[0],y:a[1]}};c?(c.activate(),c.emit(f),t.hoverData.down=c):i.emit(f),t.hoverData.downTime=(new Date).getTime(),t.hoverData.cxtDragged=!1}else if(1==e.which){if(c&&c.activate(),null!=c&&t.nodeIsGrabbable(c)){var p=function(t){return{originalEvent:e,type:t,position:{x:a[0],y:a[1]}}},b=function(t){t.emit(p("grab"))};if(u(c),c.selected()){l=t.dragData.possibleDragElements=i.collection();var y=i.$((function(e){return e.isNode()&&e.selected()&&t.nodeIsGrabbable(e)}));d(y,{addToList:l}),c.emit(p("grabon")),y.forEach(b)}else l=t.dragData.possibleDragElements=i.collection(),g(c,{addToList:l}),c.emit(p("grabon")).emit(p("grab"));t.redrawHint("eles",!0),t.redrawHint("drag",!0)}t.hoverData.down=c,t.hoverData.downs=s,t.hoverData.downTime=(new Date).getTime(),n(c,["mousedown","tapstart","vmousedown"],e,{x:a[0],y:a[1]}),null==c?(o[4]=1,t.data.bgActivePosistion={x:a[0],y:a[1]},t.redrawHint("select",!0),t.redraw()):c.pannable()&&(o[4]=1),h()}o[0]=o[2]=a[0],o[1]=o[3]=a[1]}}),!1),t.registerBinding(window,"mousemove",(function(e){if(t.hoverData.capture||A(e)){var a=!1,o=t.cy,s=o.zoom(),c=[e.clientX,e.clientY],u=t.projectIntoViewport(c[0],c[1]),l=t.hoverData.mdownPos,h=t.hoverData.mdownGPos,f=t.selection,g=null;t.hoverData.draggingEles||t.hoverData.dragging||t.hoverData.selecting||(g=t.findNearestElement(u[0],u[1],!0,!1));var b,w=t.hoverData.last,y=t.hoverData.down,m=[u[0]-f[2],u[1]-f[3]],v=t.dragData.possibleDragElements;if(h){var x=c[0]-h[0],k=x*x,_=c[1]-h[1],T=k+_*_;t.hoverData.isOverThresholdDrag=b=T>=t.desktopTapThreshold2}var C=i(e);b&&(t.hoverData.tapholdCancelled=!0);var S=function(){var e=t.hoverData.dragDelta=t.hoverData.dragDelta||[];0===e.length?(e.push(m[0]),e.push(m[1])):(e[0]+=m[0],e[1]+=m[1])};a=!0,n(g,["mousemove","vmousemove","tapdrag"],e,{x:u[0],y:u[1]});var M=function(){t.data.bgActivePosistion=void 0,t.hoverData.selecting||o.emit({originalEvent:e,type:"boxstart",position:{x:u[0],y:u[1]}}),f[4]=1,t.hoverData.selecting=!0,t.redrawHint("select",!0),t.redraw()};if(3===t.hoverData.which){if(b){var I={originalEvent:e,type:"cxtdrag",position:{x:u[0],y:u[1]}};y?y.emit(I):o.emit(I),t.hoverData.cxtDragged=!0,t.hoverData.cxtOver&&g===t.hoverData.cxtOver||(t.hoverData.cxtOver&&t.hoverData.cxtOver.emit({originalEvent:e,type:"cxtdragout",position:{x:u[0],y:u[1]}}),t.hoverData.cxtOver=g,g&&g.emit({originalEvent:e,type:"cxtdragover",position:{x:u[0],y:u[1]}}))}}else if(t.hoverData.dragging){if(a=!0,o.panningEnabled()&&o.userPanningEnabled()){var L;if(t.hoverData.justStartedPan){var D=t.hoverData.mdownPos;L={x:(u[0]-D[0])*s,y:(u[1]-D[1])*s},t.hoverData.justStartedPan=!1}else L={x:m[0]*s,y:m[1]*s};o.panBy(L),o.emit("dragpan"),t.hoverData.dragged=!0}u=t.projectIntoViewport(e.clientX,e.clientY)}else if(1!=f[4]||null!=y&&!y.pannable()){if(y&&y.pannable()&&y.active()&&y.unactivate(),y&&y.grabbed()||g==w||(w&&n(w,["mouseout","tapdragout"],e,{x:u[0],y:u[1]}),g&&n(g,["mouseover","tapdragover"],e,{x:u[0],y:u[1]}),t.hoverData.last=g),y)if(b){if(o.boxSelectionEnabled()&&C)y&&y.grabbed()&&(p(v),y.emit("freeon"),v.emit("free"),t.dragData.didDrag&&(y.emit("dragfreeon"),v.emit("dragfree"))),M();else if(y&&y.grabbed()&&t.nodeIsDraggable(y)){var O=!t.dragData.didDrag;O&&t.redrawHint("eles",!0),t.dragData.didDrag=!0,t.hoverData.draggingEles||d(v,{inDragLayer:!0});var N={x:0,y:0};if(E(m[0])&&E(m[1])&&(N.x+=m[0],N.y+=m[1],O)){var P=t.hoverData.dragDelta;P&&E(P[0])&&E(P[1])&&(N.x+=P[0],N.y+=P[1])}t.hoverData.draggingEles=!0,v.silentShift(N).emit("position drag"),t.redrawHint("drag",!0),t.redraw()}}else S();a=!0}else b&&(t.hoverData.dragging||!o.boxSelectionEnabled()||!C&&o.panningEnabled()&&o.userPanningEnabled()?!t.hoverData.selecting&&o.panningEnabled()&&o.userPanningEnabled()&&r(y,t.hoverData.downs)&&(t.hoverData.dragging=!0,t.hoverData.justStartedPan=!0,f[4]=0,t.data.bgActivePosistion=dn(l),t.redrawHint("select",!0),t.redraw()):M(),y&&y.pannable()&&y.active()&&y.unactivate());return f[2]=u[0],f[3]=u[1],a?(e.stopPropagation&&e.stopPropagation(),e.preventDefault&&e.preventDefault(),!1):void 0}}),!1),t.registerBinding(window,"mouseup",(function(r){if(t.hoverData.capture){t.hoverData.capture=!1;var a=t.cy,o=t.projectIntoViewport(r.clientX,r.clientY),s=t.selection,c=t.findNearestElement(o[0],o[1],!0,!1),u=t.dragData.possibleDragElements,l=t.hoverData.down,h=i(r);if(t.data.bgActivePosistion&&(t.redrawHint("select",!0),t.redraw()),t.hoverData.tapholdCancelled=!0,t.data.bgActivePosistion=void 0,l&&l.unactivate(),3===t.hoverData.which){var f={originalEvent:r,type:"cxttapend",position:{x:o[0],y:o[1]}};if(l?l.emit(f):a.emit(f),!t.hoverData.cxtDragged){var d={originalEvent:r,type:"cxttap",position:{x:o[0],y:o[1]}};l?l.emit(d):a.emit(d)}t.hoverData.cxtDragged=!1,t.hoverData.which=null}else if(1===t.hoverData.which){if(n(c,["mouseup","tapend","vmouseup"],r,{x:o[0],y:o[1]}),t.dragData.didDrag||t.hoverData.dragged||t.hoverData.selecting||t.hoverData.isOverThresholdDrag||(n(l,["click","tap","vclick"],r,{x:o[0],y:o[1]}),T=!1,r.timeStamp-C<=a.multiClickDebounceTime()?(_&&clearTimeout(_),T=!0,C=null,n(l,["dblclick","dbltap","vdblclick"],r,{x:o[0],y:o[1]})):(_=setTimeout((function(){T||n(l,["oneclick","onetap","voneclick"],r,{x:o[0],y:o[1]})}),a.multiClickDebounceTime()),C=r.timeStamp)),null!=l||t.dragData.didDrag||t.hoverData.selecting||t.hoverData.dragged||i(r)||(a.$(e).unselect(["tapunselect"]),u.length>0&&t.redrawHint("eles",!0),t.dragData.possibleDragElements=u=a.collection()),c!=l||t.dragData.didDrag||t.hoverData.selecting||null!=c&&c._private.selectable&&(t.hoverData.dragging||("additive"===a.selectionType()||h?c.selected()?c.unselect(["tapunselect"]):c.select(["tapselect"]):h||(a.$(e).unmerge(c).unselect(["tapunselect"]),c.select(["tapselect"]))),t.redrawHint("eles",!0)),t.hoverData.selecting){var g=a.collection(t.getAllInBox(s[0],s[1],s[2],s[3]));t.redrawHint("select",!0),g.length>0&&t.redrawHint("eles",!0),a.emit({type:"boxend",originalEvent:r,position:{x:o[0],y:o[1]}});var b=function(t){return t.selectable()&&!t.selected()};"additive"===a.selectionType()||h||a.$(e).unmerge(g).unselect(),g.emit("box").stdFilter(b).select().emit("boxselect"),t.redraw()}if(t.hoverData.dragging&&(t.hoverData.dragging=!1,t.redrawHint("select",!0),t.redrawHint("eles",!0),t.redraw()),!s[4]){t.redrawHint("drag",!0),t.redrawHint("eles",!0);var w=l&&l.grabbed();p(u),w&&(l.emit("freeon"),u.emit("free"),t.dragData.didDrag&&(l.emit("dragfreeon"),u.emit("dragfree")))}}s[4]=0,t.hoverData.down=null,t.hoverData.cxtStarted=!1,t.hoverData.draggingEles=!1,t.hoverData.selecting=!1,t.hoverData.isOverThresholdDrag=!1,t.dragData.didDrag=!1,t.hoverData.dragged=!1,t.hoverData.dragDelta=[],t.hoverData.mdownPos=null,t.hoverData.mdownGPos=null}}),!1);var M,I,L,D,O,N,P,B,F,R,$,j,z,q=function(e){if(!t.scrollingPage){var n=t.cy,i=n.zoom(),r=n.pan(),a=t.projectIntoViewport(e.clientX,e.clientY),o=[a[0]*i+r.x,a[1]*i+r.y];if(t.hoverData.draggingEles||t.hoverData.dragging||t.hoverData.cxtStarted||S())e.preventDefault();else if(n.panningEnabled()&&n.userPanningEnabled()&&n.zoomingEnabled()&&n.userZoomingEnabled()){var s;e.preventDefault(),t.data.wheelZooming=!0,clearTimeout(t.data.wheelTimeout),t.data.wheelTimeout=setTimeout((function(){t.data.wheelZooming=!1,t.redrawHint("eles",!0),t.redraw()}),150),s=null!=e.deltaY?e.deltaY/-250:null!=e.wheelDeltaY?e.wheelDeltaY/1e3:e.wheelDelta/1e3,s*=t.wheelSensitivity,1===e.deltaMode&&(s*=33);var c=n.zoom()*Math.pow(10,s);"gesturechange"===e.type&&(c=t.gestureStartZoom*e.scale),n.zoom({level:c,renderedPosition:{x:o[0],y:o[1]}}),n.emit("gesturechange"===e.type?"pinchzoom":"scrollzoom")}}};t.registerBinding(t.container,"wheel",q,!0),t.registerBinding(window,"scroll",(function(e){t.scrollingPage=!0,clearTimeout(t.scrollingPageTimeout),t.scrollingPageTimeout=setTimeout((function(){t.scrollingPage=!1}),250)}),!0),t.registerBinding(t.container,"gesturestart",(function(e){t.gestureStartZoom=t.cy.zoom(),t.hasTouchStarted||e.preventDefault()}),!0),t.registerBinding(t.container,"gesturechange",(function(e){t.hasTouchStarted||q(e)}),!0),t.registerBinding(t.container,"mouseout",(function(e){var n=t.projectIntoViewport(e.clientX,e.clientY);t.cy.emit({originalEvent:e,type:"mouseout",position:{x:n[0],y:n[1]}})}),!1),t.registerBinding(t.container,"mouseover",(function(e){var n=t.projectIntoViewport(e.clientX,e.clientY);t.cy.emit({originalEvent:e,type:"mouseover",position:{x:n[0],y:n[1]}})}),!1);var H,Z,U,Y,G,K,W,X=function(t,e,n,i){return Math.sqrt((n-t)*(n-t)+(i-e)*(i-e))},V=function(t,e,n,i){return(n-t)*(n-t)+(i-e)*(i-e)};if(t.registerBinding(t.container,"touchstart",H=function(e){if(t.hasTouchStarted=!0,A(e)){w(),t.touchData.capture=!0,t.data.bgActivePosistion=void 0;var i=t.cy,r=t.touchData.now,a=t.touchData.earlier;if(e.touches[0]){var o=t.projectIntoViewport(e.touches[0].clientX,e.touches[0].clientY);r[0]=o[0],r[1]=o[1]}if(e.touches[1]&&(o=t.projectIntoViewport(e.touches[1].clientX,e.touches[1].clientY),r[2]=o[0],r[3]=o[1]),e.touches[2]&&(o=t.projectIntoViewport(e.touches[2].clientX,e.touches[2].clientY),r[4]=o[0],r[5]=o[1]),e.touches[1]){t.touchData.singleTouchMoved=!0,p(t.dragData.touchDragEles);var s=t.findContainerClientCoords();F=s[0],R=s[1],$=s[2],j=s[3],M=e.touches[0].clientX-F,I=e.touches[0].clientY-R,L=e.touches[1].clientX-F,D=e.touches[1].clientY-R,z=0<=M&&M<=$&&0<=L&&L<=$&&0<=I&&I<=j&&0<=D&&D<=j;var c=i.pan(),l=i.zoom();O=X(M,I,L,D),N=V(M,I,L,D),B=[((P=[(M+L)/2,(I+D)/2])[0]-c.x)/l,(P[1]-c.y)/l];var h=200;if(N<h*h&&!e.touches[2]){var f=t.findNearestElement(r[0],r[1],!0,!0),b=t.findNearestElement(r[2],r[3],!0,!0);return f&&f.isNode()?(f.activate().emit({originalEvent:e,type:"cxttapstart",position:{x:r[0],y:r[1]}}),t.touchData.start=f):b&&b.isNode()?(b.activate().emit({originalEvent:e,type:"cxttapstart",position:{x:r[0],y:r[1]}}),t.touchData.start=b):i.emit({originalEvent:e,type:"cxttapstart",position:{x:r[0],y:r[1]}}),t.touchData.start&&(t.touchData.start._private.grabbed=!1),t.touchData.cxt=!0,t.touchData.cxtDragged=!1,t.data.bgActivePosistion=void 0,void t.redraw()}}if(e.touches[2])i.boxSelectionEnabled()&&e.preventDefault();else if(e.touches[1]);else if(e.touches[0]){var y=t.findNearestElements(r[0],r[1],!0,!0),m=y[0];if(null!=m&&(m.activate(),t.touchData.start=m,t.touchData.starts=y,t.nodeIsGrabbable(m))){var v=t.dragData.touchDragEles=i.collection(),x=null;t.redrawHint("eles",!0),t.redrawHint("drag",!0),m.selected()?(x=i.$((function(e){return e.selected()&&t.nodeIsGrabbable(e)})),d(x,{addToList:v})):g(m,{addToList:v}),u(m);var k=function(t){return{originalEvent:e,type:t,position:{x:r[0],y:r[1]}}};m.emit(k("grabon")),x?x.forEach((function(t){t.emit(k("grab"))})):m.emit(k("grab"))}n(m,["touchstart","tapstart","vmousedown"],e,{x:r[0],y:r[1]}),null==m&&(t.data.bgActivePosistion={x:o[0],y:o[1]},t.redrawHint("select",!0),t.redraw()),t.touchData.singleTouchMoved=!1,t.touchData.singleTouchStartTime=+new Date,clearTimeout(t.touchData.tapholdTimeout),t.touchData.tapholdTimeout=setTimeout((function(){!1!==t.touchData.singleTouchMoved||t.pinching||t.touchData.selecting||n(t.touchData.start,["taphold"],e,{x:r[0],y:r[1]})}),t.tapholdDuration)}if(e.touches.length>=1){for(var _=t.touchData.startPosition=[],E=0;E<r.length;E++)_[E]=a[E]=r[E];var T=e.touches[0];t.touchData.startGPosition=[T.clientX,T.clientY]}}},!1),t.registerBinding(window,"touchmove",Z=function(e){var i=t.touchData.capture;if(i||A(e)){var a=t.selection,o=t.cy,s=t.touchData.now,c=t.touchData.earlier,u=o.zoom();if(e.touches[0]){var l=t.projectIntoViewport(e.touches[0].clientX,e.touches[0].clientY);s[0]=l[0],s[1]=l[1]}e.touches[1]&&(l=t.projectIntoViewport(e.touches[1].clientX,e.touches[1].clientY),s[2]=l[0],s[3]=l[1]),e.touches[2]&&(l=t.projectIntoViewport(e.touches[2].clientX,e.touches[2].clientY),s[4]=l[0],s[5]=l[1]);var h,f=t.touchData.startGPosition;if(i&&e.touches[0]&&f){for(var g=[],b=0;b<s.length;b++)g[b]=s[b]-c[b];var w=e.touches[0].clientX-f[0],y=w*w,m=e.touches[0].clientY-f[1];h=y+m*m>=t.touchTapThreshold2}if(i&&t.touchData.cxt){e.preventDefault();var v=e.touches[0].clientX-F,x=e.touches[0].clientY-R,k=e.touches[1].clientX-F,_=e.touches[1].clientY-R,T=V(v,x,k,_),C=150,S=1.5;if(T/N>=S*S||T>=C*C){t.touchData.cxt=!1,t.data.bgActivePosistion=void 0,t.redrawHint("select",!0);var P={originalEvent:e,type:"cxttapend",position:{x:s[0],y:s[1]}};t.touchData.start?(t.touchData.start.unactivate().emit(P),t.touchData.start=null):o.emit(P)}}if(i&&t.touchData.cxt){P={originalEvent:e,type:"cxtdrag",position:{x:s[0],y:s[1]}},t.data.bgActivePosistion=void 0,t.redrawHint("select",!0),t.touchData.start?t.touchData.start.emit(P):o.emit(P),t.touchData.start&&(t.touchData.start._private.grabbed=!1),t.touchData.cxtDragged=!0;var $=t.findNearestElement(s[0],s[1],!0,!0);t.touchData.cxtOver&&$===t.touchData.cxtOver||(t.touchData.cxtOver&&t.touchData.cxtOver.emit({originalEvent:e,type:"cxtdragout",position:{x:s[0],y:s[1]}}),t.touchData.cxtOver=$,$&&$.emit({originalEvent:e,type:"cxtdragover",position:{x:s[0],y:s[1]}}))}else if(i&&e.touches[2]&&o.boxSelectionEnabled())e.preventDefault(),t.data.bgActivePosistion=void 0,this.lastThreeTouch=+new Date,t.touchData.selecting||o.emit({originalEvent:e,type:"boxstart",position:{x:s[0],y:s[1]}}),t.touchData.selecting=!0,t.touchData.didSelect=!0,a[4]=1,a&&0!==a.length&&void 0!==a[0]?(a[2]=(s[0]+s[2]+s[4])/3,a[3]=(s[1]+s[3]+s[5])/3):(a[0]=(s[0]+s[2]+s[4])/3,a[1]=(s[1]+s[3]+s[5])/3,a[2]=(s[0]+s[2]+s[4])/3+1,a[3]=(s[1]+s[3]+s[5])/3+1),t.redrawHint("select",!0),t.redraw();else if(i&&e.touches[1]&&!t.touchData.didSelect&&o.zoomingEnabled()&&o.panningEnabled()&&o.userZoomingEnabled()&&o.userPanningEnabled()){if(e.preventDefault(),t.data.bgActivePosistion=void 0,t.redrawHint("select",!0),nt=t.dragData.touchDragEles){t.redrawHint("drag",!0);for(var j=0;j<nt.length;j++){var q=nt[j]._private;q.grabbed=!1,q.rscratch.inDragLayer=!1}}var H=t.touchData.start,Z=(v=e.touches[0].clientX-F,x=e.touches[0].clientY-R,k=e.touches[1].clientX-F,_=e.touches[1].clientY-R,X(v,x,k,_)),U=Z/O;if(z){var Y=(v-M+(k-L))/2,G=(x-I+(_-D))/2,K=o.zoom(),W=K*U,Q=o.pan(),J=B[0]*K+Q.x,tt=B[1]*K+Q.y,et={x:-W/K*(J-Q.x-Y)+J,y:-W/K*(tt-Q.y-G)+tt};if(H&&H.active()){var nt=t.dragData.touchDragEles;p(nt),t.redrawHint("drag",!0),t.redrawHint("eles",!0),H.unactivate().emit("freeon"),nt.emit("free"),t.dragData.didDrag&&(H.emit("dragfreeon"),nt.emit("dragfree"))}o.viewport({zoom:W,pan:et,cancelOnFailedZoom:!0}),o.emit("pinchzoom"),O=Z,M=v,I=x,L=k,D=_,t.pinching=!0}e.touches[0]&&(l=t.projectIntoViewport(e.touches[0].clientX,e.touches[0].clientY),s[0]=l[0],s[1]=l[1]),e.touches[1]&&(l=t.projectIntoViewport(e.touches[1].clientX,e.touches[1].clientY),s[2]=l[0],s[3]=l[1]),e.touches[2]&&(l=t.projectIntoViewport(e.touches[2].clientX,e.touches[2].clientY),s[4]=l[0],s[5]=l[1])}else if(e.touches[0]&&!t.touchData.didSelect){var it=t.touchData.start,rt=t.touchData.last;if(t.hoverData.draggingEles||t.swipePanning||($=t.findNearestElement(s[0],s[1],!0,!0)),i&&null!=it&&e.preventDefault(),i&&null!=it&&t.nodeIsDraggable(it))if(h){nt=t.dragData.touchDragEles;var at=!t.dragData.didDrag;at&&d(nt,{inDragLayer:!0}),t.dragData.didDrag=!0;var ot={x:0,y:0};E(g[0])&&E(g[1])&&(ot.x+=g[0],ot.y+=g[1],at&&(t.redrawHint("eles",!0),(st=t.touchData.dragDelta)&&E(st[0])&&E(st[1])&&(ot.x+=st[0],ot.y+=st[1]))),t.hoverData.draggingEles=!0,nt.silentShift(ot).emit("position drag"),t.redrawHint("drag",!0),t.touchData.startPosition[0]==c[0]&&t.touchData.startPosition[1]==c[1]&&t.redrawHint("eles",!0),t.redraw()}else{var st;0===(st=t.touchData.dragDelta=t.touchData.dragDelta||[]).length?(st.push(g[0]),st.push(g[1])):(st[0]+=g[0],st[1]+=g[1])}if(n(it||$,["touchmove","tapdrag","vmousemove"],e,{x:s[0],y:s[1]}),it&&it.grabbed()||$==rt||(rt&&rt.emit({originalEvent:e,type:"tapdragout",position:{x:s[0],y:s[1]}}),$&&$.emit({originalEvent:e,type:"tapdragover",position:{x:s[0],y:s[1]}})),t.touchData.last=$,i)for(j=0;j<s.length;j++)s[j]&&t.touchData.startPosition[j]&&h&&(t.touchData.singleTouchMoved=!0);i&&(null==it||it.pannable())&&o.panningEnabled()&&o.userPanningEnabled()&&(r(it,t.touchData.starts)&&(e.preventDefault(),t.data.bgActivePosistion||(t.data.bgActivePosistion=dn(t.touchData.startPosition)),t.swipePanning?(o.panBy({x:g[0]*u,y:g[1]*u}),o.emit("dragpan")):h&&(t.swipePanning=!0,o.panBy({x:w*u,y:m*u}),o.emit("dragpan"),it&&(it.unactivate(),t.redrawHint("select",!0),t.touchData.start=null))),l=t.projectIntoViewport(e.touches[0].clientX,e.touches[0].clientY),s[0]=l[0],s[1]=l[1])}for(b=0;b<s.length;b++)c[b]=s[b];i&&e.touches.length>0&&!t.hoverData.draggingEles&&!t.swipePanning&&null!=t.data.bgActivePosistion&&(t.data.bgActivePosistion=void 0,t.redrawHint("select",!0),t.redraw())}},!1),t.registerBinding(window,"touchcancel",U=function(e){var n=t.touchData.start;t.touchData.capture=!1,n&&n.unactivate()}),t.registerBinding(window,"touchend",Y=function(i){var r=t.touchData.start;if(t.touchData.capture){0===i.touches.length&&(t.touchData.capture=!1),i.preventDefault();var a=t.selection;t.swipePanning=!1,t.hoverData.draggingEles=!1;var o,s=t.cy,c=s.zoom(),u=t.touchData.now,l=t.touchData.earlier;if(i.touches[0]){var h=t.projectIntoViewport(i.touches[0].clientX,i.touches[0].clientY);u[0]=h[0],u[1]=h[1]}if(i.touches[1]&&(h=t.projectIntoViewport(i.touches[1].clientX,i.touches[1].clientY),u[2]=h[0],u[3]=h[1]),i.touches[2]&&(h=t.projectIntoViewport(i.touches[2].clientX,i.touches[2].clientY),u[4]=h[0],u[5]=h[1]),r&&r.unactivate(),t.touchData.cxt){if(o={originalEvent:i,type:"cxttapend",position:{x:u[0],y:u[1]}},r?r.emit(o):s.emit(o),!t.touchData.cxtDragged){var f={originalEvent:i,type:"cxttap",position:{x:u[0],y:u[1]}};r?r.emit(f):s.emit(f)}return t.touchData.start&&(t.touchData.start._private.grabbed=!1),t.touchData.cxt=!1,t.touchData.start=null,void t.redraw()}if(!i.touches[2]&&s.boxSelectionEnabled()&&t.touchData.selecting){t.touchData.selecting=!1;var d=s.collection(t.getAllInBox(a[0],a[1],a[2],a[3]));a[0]=void 0,a[1]=void 0,a[2]=void 0,a[3]=void 0,a[4]=0,t.redrawHint("select",!0),s.emit({type:"boxend",originalEvent:i,position:{x:u[0],y:u[1]}});var g=function(t){return t.selectable()&&!t.selected()};d.emit("box").stdFilter(g).select().emit("boxselect"),d.nonempty()&&t.redrawHint("eles",!0),t.redraw()}if(null!=r&&r.unactivate(),i.touches[2])t.data.bgActivePosistion=void 0,t.redrawHint("select",!0);else if(i.touches[1]);else if(i.touches[0]);else if(!i.touches[0]){t.data.bgActivePosistion=void 0,t.redrawHint("select",!0);var b=t.dragData.touchDragEles;if(null!=r){var w=r._private.grabbed;p(b),t.redrawHint("drag",!0),t.redrawHint("eles",!0),w&&(r.emit("freeon"),b.emit("free"),t.dragData.didDrag&&(r.emit("dragfreeon"),b.emit("dragfree"))),n(r,["touchend","tapend","vmouseup","tapdragout"],i,{x:u[0],y:u[1]}),r.unactivate(),t.touchData.start=null}else{var y=t.findNearestElement(u[0],u[1],!0,!0);n(y,["touchend","tapend","vmouseup","tapdragout"],i,{x:u[0],y:u[1]})}var m=t.touchData.startPosition[0]-u[0],v=m*m,x=t.touchData.startPosition[1]-u[1],k=(v+x*x)*c*c;t.touchData.singleTouchMoved||(r||s.$(":selected").unselect(["tapunselect"]),n(r,["tap","vclick"],i,{x:u[0],y:u[1]}),G=!1,i.timeStamp-W<=s.multiClickDebounceTime()?(K&&clearTimeout(K),G=!0,W=null,n(r,["dbltap","vdblclick"],i,{x:u[0],y:u[1]})):(K=setTimeout((function(){G||n(r,["onetap","voneclick"],i,{x:u[0],y:u[1]})}),s.multiClickDebounceTime()),W=i.timeStamp)),null!=r&&!t.dragData.didDrag&&r._private.selectable&&k<t.touchTapThreshold2&&!t.pinching&&("single"===s.selectionType()?(s.$(e).unmerge(r).unselect(["tapunselect"]),r.select(["tapselect"])):r.selected()?r.unselect(["tapunselect"]):r.select(["tapselect"]),t.redrawHint("eles",!0)),t.touchData.singleTouchMoved=!0}for(var _=0;_<u.length;_++)l[_]=u[_];t.dragData.didDrag=!1,0===i.touches.length&&(t.touchData.dragDelta=[],t.touchData.startPosition=null,t.touchData.startGPosition=null,t.touchData.didSelect=!1),i.touches.length<2&&(1===i.touches.length&&(t.touchData.startGPosition=[i.touches[0].clientX,i.touches[0].clientY]),t.pinching=!1,t.redrawHint("eles",!0),t.redraw())}},!1),"undefined"==typeof TouchEvent){var Q=[],J=function(t){return{clientX:t.clientX,clientY:t.clientY,force:1,identifier:t.pointerId,pageX:t.pageX,pageY:t.pageY,radiusX:t.width/2,radiusY:t.height/2,screenX:t.screenX,screenY:t.screenY,target:t.target}},tt=function(t){return{event:t,touch:J(t)}},et=function(t){Q.push(tt(t))},nt=function(t){for(var e=0;e<Q.length;e++)if(Q[e].event.pointerId===t.pointerId)return void Q.splice(e,1)},it=function(t){var e=Q.filter((function(e){return e.event.pointerId===t.pointerId}))[0];e.event=t,e.touch=J(t)},rt=function(t){t.touches=Q.map((function(t){return t.touch}))},at=function(t){return"mouse"===t.pointerType||4===t.pointerType};t.registerBinding(t.container,"pointerdown",(function(t){at(t)||(t.preventDefault(),et(t),rt(t),H(t))})),t.registerBinding(t.container,"pointerup",(function(t){at(t)||(nt(t),rt(t),Y(t))})),t.registerBinding(t.container,"pointercancel",(function(t){at(t)||(nt(t),rt(t),U(t))})),t.registerBinding(t.container,"pointermove",(function(t){at(t)||(t.preventDefault(),it(t),rt(t),Z(t))}))}}},kh={generatePolygon:function(t,e){return this.nodeShapes[t]={renderer:this,name:t,points:e,draw:function(t,e,n,i,r){this.renderer.nodeShapeImpl("polygon",t,e,n,i,r,this.points)},intersectLine:function(t,e,n,i,r,a,o){return ri(r,a,this.points,t,e,n/2,i/2,o)},checkPoint:function(t,e,n,i,r,a,o){return Wn(t,e,this.points,a,o,i,r,[0,-1],n)}}},generateEllipse:function(){return this.nodeShapes.ellipse={renderer:this,name:"ellipse",draw:function(t,e,n,i,r){this.renderer.nodeShapeImpl(this.name,t,e,n,i,r)},intersectLine:function(t,e,n,i,r,a,o){return Jn(r,a,t,e,n/2+o,i/2+o)},checkPoint:function(t,e,n,i,r,a,o){return ti(t,e,i,r,a,o,n)}}},generateRoundPolygon:function(t,e){for(var n=new Array(2*e.length),i=0;i<e.length/2;i++){var r=2*i,a=void 0;a=i<e.length/2-1?2*(i+1):0,n[4*i]=e[r],n[4*i+1]=e[r+1];var o=e[a]-e[r],s=e[a+1]-e[r+1],c=Math.sqrt(o*o+s*s);n[4*i+2]=o/c,n[4*i+3]=s/c}return this.nodeShapes[t]={renderer:this,name:t,points:n,draw:function(t,e,n,i,r){this.renderer.nodeShapeImpl("round-polygon",t,e,n,i,r,this.points)},intersectLine:function(t,e,n,i,r,a,o){return ai(r,a,this.points,t,e,n,i)},checkPoint:function(t,e,n,i,r,a,o){return Xn(t,e,this.points,a,o,i,r)}}},generateRoundRectangle:function(){return this.nodeShapes["round-rectangle"]=this.nodeShapes.roundrectangle={renderer:this,name:"round-rectangle",points:si(4,0),draw:function(t,e,n,i,r){this.renderer.nodeShapeImpl(this.name,t,e,n,i,r)},intersectLine:function(t,e,n,i,r,a,o){return zn(r,a,t,e,n,i,o)},checkPoint:function(t,e,n,i,r,a,o){var s=li(i,r),c=2*s;return!!(Wn(t,e,this.points,a,o,i,r-c,[0,-1],n)||Wn(t,e,this.points,a,o,i-c,r,[0,-1],n)||ti(t,e,c,c,a-i/2+s,o-r/2+s,n)||ti(t,e,c,c,a+i/2-s,o-r/2+s,n)||ti(t,e,c,c,a+i/2-s,o+r/2-s,n)||ti(t,e,c,c,a-i/2+s,o+r/2-s,n))}}},generateCutRectangle:function(){return this.nodeShapes["cut-rectangle"]=this.nodeShapes.cutrectangle={renderer:this,name:"cut-rectangle",cornerLength:fi(),points:si(4,0),draw:function(t,e,n,i,r){this.renderer.nodeShapeImpl(this.name,t,e,n,i,r)},generateCutTrianglePts:function(t,e,n,i){var r=this.cornerLength,a=e/2,o=t/2,s=n-o,c=n+o,u=i-a,l=i+a;return{topLeft:[s,u+r,s+r,u,s+r,u+r],topRight:[c-r,u,c,u+r,c-r,u+r],bottomRight:[c,l-r,c-r,l,c-r,l-r],bottomLeft:[s+r,l,s,l-r,s+r,l-r]}},intersectLine:function(t,e,n,i,r,a,o){var s=this.generateCutTrianglePts(n+2*o,i+2*o,t,e),c=[].concat.apply([],[s.topLeft.splice(0,4),s.topRight.splice(0,4),s.bottomRight.splice(0,4),s.bottomLeft.splice(0,4)]);return ri(r,a,c,t,e)},checkPoint:function(t,e,n,i,r,a,o){if(Wn(t,e,this.points,a,o,i,r-2*this.cornerLength,[0,-1],n))return!0;if(Wn(t,e,this.points,a,o,i-2*this.cornerLength,r,[0,-1],n))return!0;var s=this.generateCutTrianglePts(i,r,a,o);return Kn(t,e,s.topLeft)||Kn(t,e,s.topRight)||Kn(t,e,s.bottomRight)||Kn(t,e,s.bottomLeft)}}},generateBarrel:function(){return this.nodeShapes.barrel={renderer:this,name:"barrel",points:si(4,0),draw:function(t,e,n,i,r){this.renderer.nodeShapeImpl(this.name,t,e,n,i,r)},intersectLine:function(t,e,n,i,r,a,o){var s=.15,c=.5,u=.85,l=this.generateBarrelBezierPts(n+2*o,i+2*o,t,e),h=function(t){var e=Cn({x:t[0],y:t[1]},{x:t[2],y:t[3]},{x:t[4],y:t[5]},s),n=Cn({x:t[0],y:t[1]},{x:t[2],y:t[3]},{x:t[4],y:t[5]},c),i=Cn({x:t[0],y:t[1]},{x:t[2],y:t[3]},{x:t[4],y:t[5]},u);return[t[0],t[1],e.x,e.y,n.x,n.y,i.x,i.y,t[4],t[5]]},f=[].concat(h(l.topLeft),h(l.topRight),h(l.bottomRight),h(l.bottomLeft));return ri(r,a,f,t,e)},generateBarrelBezierPts:function(t,e,n,i){var r=e/2,a=t/2,o=n-a,s=n+a,c=i-r,u=i+r,l=gi(t,e),h=l.heightOffset,f=l.widthOffset,d=l.ctrlPtOffsetPct*t,g={topLeft:[o,c+h,o+d,c,o+f,c],topRight:[s-f,c,s-d,c,s,c+h],bottomRight:[s,u-h,s-d,u,s-f,u],bottomLeft:[o+f,u,o+d,u,o,u-h]};return g.topLeft.isTop=!0,g.topRight.isTop=!0,g.bottomLeft.isBottom=!0,g.bottomRight.isBottom=!0,g},checkPoint:function(t,e,n,i,r,a,o){var s=gi(i,r),c=s.heightOffset,u=s.widthOffset;if(Wn(t,e,this.points,a,o,i,r-2*c,[0,-1],n))return!0;if(Wn(t,e,this.points,a,o,i-2*u,r,[0,-1],n))return!0;for(var l=this.generateBarrelBezierPts(i,r,a,o),h=function(t,e,n){var i=n[4],r=n[2],a=n[0],o=n[5],s=n[1],c=Math.min(i,a),u=Math.max(i,a),l=Math.min(o,s),h=Math.max(o,s);if(c<=t&&t<=u&&l<=e&&e<=h){var f=di(i,r,a),d=Zn(f[0],f[1],f[2],t).filter((function(t){return 0<=t&&t<=1}));if(d.length>0)return d[0]}return null},f=Object.keys(l),d=0;d<f.length;d++){var g=l[f[d]],p=h(t,e,g);if(null!=p){var b=g[5],w=g[3],y=g[1],m=Tn(b,w,y,p);if(g.isTop&&m<=e)return!0;if(g.isBottom&&e<=m)return!0}}return!1}}},generateBottomRoundrectangle:function(){return this.nodeShapes["bottom-round-rectangle"]=this.nodeShapes.bottomroundrectangle={renderer:this,name:"bottom-round-rectangle",points:si(4,0),draw:function(t,e,n,i,r){this.renderer.nodeShapeImpl(this.name,t,e,n,i,r)},intersectLine:function(t,e,n,i,r,a,o){var s=e-(i/2+o),c=ii(r,a,t,e,t-(n/2+o),s,t+(n/2+o),s,!1);return c.length>0?c:zn(r,a,t,e,n,i,o)},checkPoint:function(t,e,n,i,r,a,o){var s=li(i,r),c=2*s;if(Wn(t,e,this.points,a,o,i,r-c,[0,-1],n))return!0;if(Wn(t,e,this.points,a,o,i-c,r,[0,-1],n))return!0;var u=i/2+2*n,l=r/2+2*n;return!!Kn(t,e,[a-u,o-l,a-u,o,a+u,o,a+u,o-l])||!!ti(t,e,c,c,a+i/2-s,o+r/2-s,n)||!!ti(t,e,c,c,a-i/2+s,o+r/2-s,n)}}},registerNodeShapes:function(){var t=this.nodeShapes={},e=this;this.generateEllipse(),this.generatePolygon("triangle",si(3,0)),this.generateRoundPolygon("round-triangle",si(3,0)),this.generatePolygon("rectangle",si(4,0)),t.square=t.rectangle,this.generateRoundRectangle(),this.generateCutRectangle(),this.generateBarrel(),this.generateBottomRoundrectangle();var n=[0,1,1,0,0,-1,-1,0];this.generatePolygon("diamond",n),this.generateRoundPolygon("round-diamond",n),this.generatePolygon("pentagon",si(5,0)),this.generateRoundPolygon("round-pentagon",si(5,0)),this.generatePolygon("hexagon",si(6,0)),this.generateRoundPolygon("round-hexagon",si(6,0)),this.generatePolygon("heptagon",si(7,0)),this.generateRoundPolygon("round-heptagon",si(7,0)),this.generatePolygon("octagon",si(8,0)),this.generateRoundPolygon("round-octagon",si(8,0));var i=new Array(20),r=ui(5,0),a=ui(5,Math.PI/5),o=.5*(3-Math.sqrt(5));o*=1.57;for(var s=0;s<a.length/2;s++)a[2*s]*=o,a[2*s+1]*=o;for(s=0;s<5;s++)i[4*s]=r[2*s],i[4*s+1]=r[2*s+1],i[4*s+2]=a[2*s],i[4*s+3]=a[2*s+1];i=ci(i),this.generatePolygon("star",i),this.generatePolygon("vee",[-1,-1,0,-.333,1,-1,0,1]),this.generatePolygon("rhomboid",[-1,-1,.333,-1,1,1,-.333,1]),this.nodeShapes.concavehexagon=this.generatePolygon("concave-hexagon",[-1,-.95,-.75,0,-1,.95,1,.95,.75,0,1,-.95]);var c=[-1,-1,.25,-1,1,0,.25,1,-1,1];this.generatePolygon("tag",c),this.generateRoundPolygon("round-tag",c),t.makePolygon=function(t){var n,i="polygon-"+t.join("$");return(n=this[i])?n:e.generatePolygon(i,t)}}},_h={timeToRender:function(){return this.redrawTotalTime/this.redrawCount},redraw:function(t){t=t||Oe();var e=this;void 0===e.averageRedrawTime&&(e.averageRedrawTime=0),void 0===e.lastRedrawTime&&(e.lastRedrawTime=0),void 0===e.lastDrawTime&&(e.lastDrawTime=0),e.requestedFrame=!0,e.renderOptions=t},beforeRender:function(t,e){if(!this.destroyed){null==e&&Te("Priority is not optional for beforeRender");var n=this.beforeRenderCallbacks;n.push({fn:t,priority:e}),n.sort((function(t,e){return e.priority-t.priority}))}}},Eh=function(t,e,n){for(var i=t.beforeRenderCallbacks,r=0;r<i.length;r++)i[r].fn(e,n)};_h.startRenderLoop=function(){var t=this,e=t.cy;if(!t.renderLoopStarted){t.renderLoopStarted=!0;var n=function n(i){if(!t.destroyed){if(e.batching());else if(t.requestedFrame&&!t.skipFrame){Eh(t,!0,i);var r=ie();t.render(t.renderOptions);var a=t.lastDrawTime=ie();void 0===t.averageRedrawTime&&(t.averageRedrawTime=a-r),void 0===t.redrawCount&&(t.redrawCount=0),t.redrawCount++,void 0===t.redrawTotalTime&&(t.redrawTotalTime=0);var o=a-r;t.redrawTotalTime+=o,t.lastRedrawTime=o,t.averageRedrawTime=t.averageRedrawTime/2+o/2,t.requestedFrame=!1}else Eh(t,!1,i);t.skipFrame=!1,ne(n)}};ne(n)}};var Th=function(t){this.init(t)},Ch=Th.prototype;Ch.clientFunctions=["redrawHint","render","renderTo","matchCanvasSize","nodeShapeImpl","arrowShapeImpl"],Ch.init=function(t){var e=this;e.options=t,e.cy=t.cy;var n=e.container=t.cy.container();if(f){var i=f.document,r=i.head,a="__________cytoscape_stylesheet",o="__________cytoscape_container",s=null!=i.getElementById(a);if(n.className.indexOf(o)<0&&(n.className=(n.className||"")+" "+o),!s){var c=i.createElement("style");c.id=a,c.innerHTML="."+o+" { position: relative; }",r.insertBefore(c,r.children[0])}"static"===f.getComputedStyle(n).getPropertyValue("position")&&Se("A Cytoscape container has style position:static and so can not use UI extensions properly")}e.selection=[void 0,void 0,void 0,void 0,0],e.bezierProjPcts=[.05,.225,.4,.5,.6,.775,.95],e.hoverData={down:null,last:null,downTime:null,triggerMode:null,dragging:!1,initialPan:[null,null],capture:!1},e.dragData={possibleDragElements:[]},e.touchData={start:null,capture:!1,startPosition:[null,null,null,null,null,null],singleTouchStartTime:null,singleTouchMoved:!0,now:[null,null,null,null,null,null],earlier:[null,null,null,null,null,null]},e.redraws=0,e.showFps=t.showFps,e.debug=t.debug,e.hideEdgesOnViewport=t.hideEdgesOnViewport,e.textureOnViewport=t.textureOnViewport,e.wheelSensitivity=t.wheelSensitivity,e.motionBlurEnabled=t.motionBlur,e.forcedPixelRatio=E(t.pixelRatio)?t.pixelRatio:null,e.motionBlur=t.motionBlur,e.motionBlurOpacity=t.motionBlurOpacity,e.motionBlurTransparency=1-e.motionBlurOpacity,e.motionBlurPxRatio=1,e.mbPxRBlurry=1,e.minMbLowQualFrames=4,e.fullQualityMb=!1,e.clearedForMotionBlur=[],e.desktopTapThreshold=t.desktopTapThreshold,e.desktopTapThreshold2=t.desktopTapThreshold*t.desktopTapThreshold,e.touchTapThreshold=t.touchTapThreshold,e.touchTapThreshold2=t.touchTapThreshold*t.touchTapThreshold,e.tapholdDuration=500,e.bindings=[],e.beforeRenderCallbacks=[],e.beforeRenderPriorities={animations:400,eleCalcs:300,eleTxrDeq:200,lyrTxrDeq:150,lyrTxrSkip:100},e.registerNodeShapes(),e.registerArrowShapes(),e.registerCalculationListeners()},Ch.notify=function(t,e){var n=this,i=n.cy;this.destroyed||("init"!==t?"destroy"!==t?(("add"===t||"remove"===t||"move"===t&&i.hasCompoundNodes()||"load"===t||"zorder"===t||"mount"===t)&&n.invalidateCachedZSortedEles(),"viewport"===t&&n.redrawHint("select",!0),"load"!==t&&"resize"!==t&&"mount"!==t||(n.invalidateContainerClientCoordsCache(),n.matchCanvasSize(n.container)),n.redrawHint("eles",!0),n.redrawHint("drag",!0),this.startRenderLoop(),this.redraw()):n.destroy():n.load())},Ch.destroy=function(){var t=this;t.destroyed=!0,t.cy.stopAnimationLoop();for(var e=0;e<t.bindings.length;e++){var n=t.bindings[e],i=n.target;(i.off||i.removeEventListener).apply(i,n.args)}if(t.bindings=[],t.beforeRenderCallbacks=[],t.onUpdateEleCalcsFns=[],t.removeObserver&&t.removeObserver.disconnect(),t.styleObserver&&t.styleObserver.disconnect(),t.resizeObserver&&t.resizeObserver.disconnect(),t.labelCalcDiv)try{document.body.removeChild(t.labelCalcDiv)}catch(t){}},Ch.isHeadless=function(){return!1},[nh,mh,vh,xh,kh,_h].forEach((function(t){Q(Ch,t)}));var Sh=1e3/60,Ah={setupDequeueing:function(t){return function(){var e=this,n=this.renderer;if(!e.dequeueingSetup){e.dequeueingSetup=!0;var i=Qt((function(){n.redrawHint("eles",!0),n.redrawHint("drag",!0),n.redraw()}),t.deqRedrawThreshold),r=function(r,a){var o=ie(),s=n.averageRedrawTime,c=n.lastRedrawTime,u=[],l=n.cy.extent(),h=n.getPixelRatio();for(r||n.flushRenderedStyleQueue();;){var f=ie(),d=f-o,g=f-a;if(c<Sh){var p=Sh-(r?s:0);if(g>=t.deqFastCost*p)break}else if(r){if(d>=t.deqCost*c||d>=t.deqAvgCost*s)break}else if(g>=t.deqNoDrawCost*Sh)break;var b=t.deq(e,h,l);if(!(b.length>0))break;for(var w=0;w<b.length;w++)u.push(b[w])}u.length>0&&(t.onDeqd(e,u),!r&&t.shouldRedraw(e,u,h,l)&&i())},a=t.priority||Ee;n.beforeRender(r,a(e))}}}},Mh=function(){function t(n){var i=arguments.length>1&&void 0!==arguments[1]?arguments[1]:ke;e(this,t),this.idsByKey=new ze,this.keyForId=new ze,this.cachesByLvl=new ze,this.lvls=[],this.getKey=n,this.doesEleInvalidateKey=i}return r(t,[{key:"getIdsFor",value:function(t){null==t&&Te("Can not get id list for null key");var e=this.idsByKey,n=this.idsByKey.get(t);return n||(n=new Ze,e.set(t,n)),n}},{key:"addIdForKey",value:function(t,e){null!=t&&this.getIdsFor(t).add(e)}},{key:"deleteIdForKey",value:function(t,e){null!=t&&this.getIdsFor(t).delete(e)}},{key:"getNumberOfIdsForKey",value:function(t){return null==t?0:this.getIdsFor(t).size}},{key:"updateKeyMappingFor",value:function(t){var e=t.id(),n=this.keyForId.get(e),i=this.getKey(t);this.deleteIdForKey(n,e),this.addIdForKey(i,e),this.keyForId.set(e,i)}},{key:"deleteKeyMappingFor",value:function(t){var e=t.id(),n=this.keyForId.get(e);this.deleteIdForKey(n,e),this.keyForId.delete(e)}},{key:"keyHasChangedFor",value:function(t){var e=t.id();return this.keyForId.get(e)!==this.getKey(t)}},{key:"isInvalid",value:function(t){return this.keyHasChangedFor(t)||this.doesEleInvalidateKey(t)}},{key:"getCachesAt",value:function(t){var e=this.cachesByLvl,n=this.lvls,i=e.get(t);return i||(i=new ze,e.set(t,i),n.push(t)),i}},{key:"getCache",value:function(t,e){return this.getCachesAt(e).get(t)}},{key:"get",value:function(t,e){var n=this.getKey(t),i=this.getCache(n,e);return null!=i&&this.updateKeyMappingFor(t),i}},{key:"getForCachedKey",value:function(t,e){var n=this.keyForId.get(t.id());return this.getCache(n,e)}},{key:"hasCache",value:function(t,e){return this.getCachesAt(e).has(t)}},{key:"has",value:function(t,e){var n=this.getKey(t);return this.hasCache(n,e)}},{key:"setCache",value:function(t,e,n){n.key=t,this.getCachesAt(e).set(t,n)}},{key:"set",value:function(t,e,n){var i=this.getKey(t);this.setCache(i,e,n),this.updateKeyMappingFor(t)}},{key:"deleteCache",value:function(t,e){this.getCachesAt(e).delete(t)}},{key:"delete",value:function(t,e){var n=this.getKey(t);this.deleteCache(n,e)}},{key:"invalidateKey",value:function(t){var e=this;this.lvls.forEach((function(n){return e.deleteCache(t,n)}))}},{key:"invalidate",value:function(t){var e=t.id(),n=this.keyForId.get(e);this.deleteKeyMappingFor(t);var i=this.doesEleInvalidateKey(t);return i&&this.invalidateKey(n),i||0===this.getNumberOfIdsForKey(n)}}]),t}(),Ih=25,Lh=50,Dh=-4,Oh=3,Nh=7.99,Ph=8,Bh=1024,Fh=1024,Rh=1024,$h=.2,jh=.8,zh=10,qh=.15,Hh=.1,Zh=.9,Uh=.9,Yh=100,Gh=1,Kh={dequeue:"dequeue",downscale:"downscale",highQuality:"highQuality"},Wh=Ne({getKey:null,doesEleInvalidateKey:ke,drawElement:null,getBoundingBox:null,getRotationPoint:null,getRotationOffset:null,isVisible:xe,allowEdgeTxrCaching:!0,allowParentTxrCaching:!0}),Xh=function(t,e){var n=this;n.renderer=t,n.onDequeues=[];var i=Wh(e);Q(n,i),n.lookup=new Mh(i.getKey,i.doesEleInvalidateKey),n.setupDequeueing()},Vh=Xh.prototype;Vh.reasons=Kh,Vh.getTextureQueue=function(t){var e=this;return e.eleImgCaches=e.eleImgCaches||{},e.eleImgCaches[t]=e.eleImgCaches[t]||[]},Vh.getRetiredTextureQueue=function(t){var e=this,n=e.eleImgCaches.retired=e.eleImgCaches.retired||{};return n[t]=n[t]||[]},Vh.getElementQueue=function(){var t=this;return t.eleCacheQueue=t.eleCacheQueue||new We((function(t,e){return e.reqs-t.reqs}))},Vh.getElementKeyToQueue=function(){var t=this;return t.eleKeyToCacheQueue=t.eleKeyToCacheQueue||{}},Vh.getElement=function(t,e,n,i,r){var a=this,o=this.renderer,s=o.cy.zoom(),c=this.lookup;if(!e||0===e.w||0===e.h||isNaN(e.w)||isNaN(e.h)||!t.visible()||t.removed())return null;if(!a.allowEdgeTxrCaching&&t.isEdge()||!a.allowParentTxrCaching&&t.isParent())return null;if(null==i&&(i=Math.ceil(vn(s*n))),i<Dh)i=Dh;else if(s>=Nh||i>Oh)return null;var u=Math.pow(2,i),l=e.h*u,h=e.w*u,f=o.eleTextBiggerThanMin(t,u);if(!this.isVisible(t,f))return null;var d,g=c.get(t,i);if(g&&g.invalidated&&(g.invalidated=!1,g.texture.invalidatedWidth-=g.width),g)return g;if(d=l<=Ih?Ih:l<=Lh?Lh:Math.ceil(l/Lh)*Lh,l>Rh||h>Fh)return null;var p=a.getTextureQueue(d),b=p[p.length-2],w=function(){return a.recycleTexture(d,h)||a.addTexture(d,h)};b||(b=p[p.length-1]),b||(b=w()),b.width-b.usedWidth<h&&(b=w());for(var y,m=function(t){return t&&t.scaledLabelShown===f},v=r&&r===Kh.dequeue,x=r&&r===Kh.highQuality,k=r&&r===Kh.downscale,_=i+1;_<=Oh;_++){var E=c.get(t,_);if(E){y=E;break}}var T=y&&y.level===i+1?y:null,C=function(){b.context.drawImage(T.texture.canvas,T.x,0,T.width,T.height,b.usedWidth,0,h,l)};if(b.context.setTransform(1,0,0,1,0,0),b.context.clearRect(b.usedWidth,0,h,d),m(T))C();else if(m(y)){if(!x)return a.queueElement(t,y.level-1),y;for(var S=y.level;S>i;S--)T=a.getElement(t,e,n,S,Kh.downscale);C()}else{var A;if(!v&&!x&&!k)for(var M=i-1;M>=Dh;M--){var I=c.get(t,M);if(I){A=I;break}}if(m(A))return a.queueElement(t,i),A;b.context.translate(b.usedWidth,0),b.context.scale(u,u),this.drawElement(b.context,t,e,f,!1),b.context.scale(1/u,1/u),b.context.translate(-b.usedWidth,0)}return g={x:b.usedWidth,texture:b,level:i,scale:u,width:h,height:l,scaledLabelShown:f},b.usedWidth+=Math.ceil(h+Ph),b.eleCaches.push(g),c.set(t,i,g),a.checkTextureFullness(b),g},Vh.invalidateElements=function(t){for(var e=0;e<t.length;e++)this.invalidateElement(t[e])},Vh.invalidateElement=function(t){var e=this,n=e.lookup,i=[];if(n.isInvalid(t)){for(var r=Dh;r<=Oh;r++){var a=n.getForCachedKey(t,r);a&&i.push(a)}if(n.invalidate(t))for(var o=0;o<i.length;o++){var s=i[o],c=s.texture;c.invalidatedWidth+=s.width,s.invalidated=!0,e.checkTextureUtility(c)}e.removeFromQueue(t)}},Vh.checkTextureUtility=function(t){t.invalidatedWidth>=$h*t.width&&this.retireTexture(t)},Vh.checkTextureFullness=function(t){var e=this.getTextureQueue(t.height);t.usedWidth/t.width>jh&&t.fullnessChecks>=zh?Pe(e,t):t.fullnessChecks++},Vh.retireTexture=function(t){var e=this,n=t.height,i=e.getTextureQueue(n),r=this.lookup;Pe(i,t),t.retired=!0;for(var a=t.eleCaches,o=0;o<a.length;o++){var s=a[o];r.deleteCache(s.key,s.level)}Be(a),e.getRetiredTextureQueue(n).push(t)},Vh.addTexture=function(t,e){var n=this,i={};return n.getTextureQueue(t).push(i),i.eleCaches=[],i.height=t,i.width=Math.max(Bh,e),i.usedWidth=0,i.invalidatedWidth=0,i.fullnessChecks=0,i.canvas=n.renderer.makeOffscreenCanvas(i.width,i.height),i.context=i.canvas.getContext("2d"),i},Vh.recycleTexture=function(t,e){for(var n=this,i=n.getTextureQueue(t),r=n.getRetiredTextureQueue(t),a=0;a<r.length;a++){var o=r[a];if(o.width>=e)return o.retired=!1,o.usedWidth=0,o.invalidatedWidth=0,o.fullnessChecks=0,Be(o.eleCaches),o.context.setTransform(1,0,0,1,0,0),o.context.clearRect(0,0,o.width,o.height),Pe(r,o),i.push(o),o}},Vh.queueElement=function(t,e){var n=this,i=n.getElementQueue(),r=n.getElementKeyToQueue(),a=this.getKey(t),o=r[a];if(o)o.level=Math.max(o.level,e),o.eles.merge(t),o.reqs++,i.updateItem(o);else{var s={eles:t.spawn().merge(t),level:e,reqs:1,key:a};i.push(s),r[a]=s}},Vh.dequeue=function(t){for(var e=this,n=e.getElementQueue(),i=e.getElementKeyToQueue(),r=[],a=e.lookup,o=0;o<Gh&&n.size()>0;o++){var s=n.pop(),c=s.key,u=s.eles[0],l=a.hasCache(u,s.level);if(i[c]=null,!l){r.push(s);var h=e.getBoundingBox(u);e.getElement(u,h,t,s.level,Kh.dequeue)}}return r},Vh.removeFromQueue=function(t){var e=this,n=e.getElementQueue(),i=e.getElementKeyToQueue(),r=this.getKey(t),a=i[r];null!=a&&(1===a.eles.length?(a.reqs=ve,n.updateItem(a),n.pop(),i[r]=null):a.eles.unmerge(t))},Vh.onDequeue=function(t){this.onDequeues.push(t)},Vh.offDequeue=function(t){Pe(this.onDequeues,t)},Vh.setupDequeueing=Ah.setupDequeueing({deqRedrawThreshold:Yh,deqCost:qh,deqAvgCost:Hh,deqNoDrawCost:Zh,deqFastCost:Uh,deq:function(t,e,n){return t.dequeue(e,n)},onDeqd:function(t,e){for(var n=0;n<t.onDequeues.length;n++)(0,t.onDequeues[n])(e)},shouldRedraw:function(t,e,n,i){for(var r=0;r<e.length;r++)for(var a=e[r].eles,o=0;o<a.length;o++){var s=a[o].boundingBox();if(Fn(s,i))return!0}return!1},priority:function(t){return t.renderer.beforeRenderPriorities.eleTxrDeq}});var 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i=this,r=i.renderer.cy.zoom(),a=i.firstGet;if(i.firstGet=!1,null==n)if((n=Math.ceil(vn(r*e)))<Jh)n=Jh;else if(r>=ef||n>tf)return null;i.validateLayersElesOrdering(n,t);var o,s,c=i.layersByLevel,u=Math.pow(2,n),l=c[n]=c[n]||[],h=function(){var e=function(e){if(i.validateLayersElesOrdering(e,t),i.levelIsComplete(e,t))return s=c[e],!0},r=function(t){if(!s)for(var i=n+t;Jh<=i&&i<=tf&&!e(i);i+=t);};r(1),r(-1);for(var a=l.length-1;a>=0;a--){var o=l[a];o.invalid&&Pe(l,o)}};if(i.levelIsComplete(n,t))return l;h();var f=function(){if(!o){o=Mn();for(var e=0;e<t.length;e++)Dn(o,t[e].boundingBox())}return o},d=function(t){var e=(t=t||{}).after;if(f(),o.w*u*(o.h*u)>hf)return null;var r=i.makeLayer(o,n);if(null!=e){var a=l.indexOf(e)+1;l.splice(a,0,r)}else(void 0===t.insert||t.insert)&&l.unshift(r);return r};if(i.skipping&&!a)return null;for(var g=null,p=t.length/Qh,b=!a,w=0;w<t.length;w++){var 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ait(t){if(!(t>=0))throw qw(new $v("tolerance ("+t+") must be >= 0"));return t}function oit(){return aTe||kut(aTe=new LFt,Ast(Zx($ie,1),HKt,130,0,[new Oh])),aTe}function sit(){sit=I,Zye=new US(hQt,0),qye=new US("INPUT",1),Hye=new US("OUTPUT",2)}function cit(){cit=I,gle=new TS("ARD",0),ble=new TS("MSD",1),ple=new TS("MANUAL",2)}function uit(){uit=I,Ime=new VS("BARYCENTER",0),Lme=new VS(E1t,1),Dme=new VS(T1t,2)}function lit(t,e){var n;if(n=t.gc(),e<0||e>n)throw qw(new eR(e,n));return new FR(t,e)}function hit(t,e){var n;return aO(e,42)?t.c.Mc(e):(n=apt(t,e),Wpt(t,e),n)}function fit(t,e,n){return Ilt(t,e),Prt(t,n),Nnt(t,0),Pnt(t,1),eft(t,!0),Qht(t,!0),t}function dit(t,e){if(t<0)throw qw(new $v(e+" cannot be negative but was: "+t));return t}function git(t,e){var n,i;for(n=0,i=t.gc();n<i;++n)if(aW(e,t.Xb(n)))return n;return-1}function pit(t){var e;for(e=t.c.Cc().Kc();e.Ob();)zz(e.Pb(),14).$b();t.c.$b(),t.d=0}function bit(t){var e,n,i,r;for(i=0,r=(n=t.a).length;i<r;++i)XY(e=n[i],e.length,null)}function wit(t){var e,n;if(0==t)return 32;for(n=0,e=1;0==(e&t);e<<=1)++n;return n}function yit(t){var e;for(e=new Kd(ivt(t));e.a<e.c.c.length;)zz(t0(e),680).Gf()}function mit(t){yT(),this.g=new Pw,this.f=new Pw,this.b=new Pw,this.c=new wQ,this.i=t}function vit(){this.f=new Zk,this.d=new gm,this.c=new Zk,this.a=new Nw,this.b=new Nw}function xit(t,e,n,i){this.rj(),this.a=e,this.b=t,this.c=null,this.c=new fR(this,e,n,i)}function kit(t,e,n,i,r){this.d=t,this.n=e,this.g=n,this.o=i,this.p=-1,r||(this.o=-2-i-1)}function _it(){IO.call(this),this.n=-1,this.g=null,this.i=null,this.j=null,this.Bb|=k6t}function Eit(){return e$t(),Ast(Zx(iIe,1),OWt,259,0,[ZMe,YMe,HMe,GMe,KMe,XMe,WMe,UMe,qMe])}function Tit(){return nFt(),Ast(Zx(zie,1),OWt,250,0,[Fie,Die,Oie,Lie,Pie,Bie,Nie,Iie,Mie])}function Cit(){Cit=I,Lee=Ast(Zx(LNe,1),hXt,25,15,[0,8,4,12,2,10,6,14,1,9,5,13,3,11,7,15])}function Sit(){Sit=I,xme=pH(pH(pH(new 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tY(t,1,0,n,t.b))}function $it(t,e){var n;n=t.c,t.c=e,0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new tY(t,1,1,n,t.c))}function jit(t,e){var n;n=t.c,t.c=e,0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new tY(t,1,1,n,t.c))}function zit(t,e){var n;n=t.c,t.c=e,0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new tY(t,1,4,n,t.c))}function qit(t,e){var n;n=t.d,t.d=e,0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new tY(t,1,1,n,t.d))}function Hit(t,e){var n;n=t.D,t.D=e,0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new tY(t,1,2,n,t.D))}function Zit(t,e){t.r>0&&t.c<t.r&&(t.c+=e,t.i&&t.i.d>0&&0!=t.g&&Zit(t.i,e/t.r*t.i.d))}function Uit(t,e,n){var i;t.b=e,t.a=n,i=512==(512&t.a)?new jm:new Bl,t.c=CBt(i,t.b,t.a)}function Yit(t,e){return OPt(t.e,e)?(JT(),ltt(e)?new fH(e,t):new PM(e,t)):new RM(e,t)}function Git(t,e){return Qk(tat(t.a,e,pZ(odt(SWt,rW(pZ(odt(null==e?0:eut(e),AWt)),15)))))}function Kit(t,e,n){return P9(t,new hg(e),new ot,new fg(n),Ast(Zx(tie,1),OWt,132,0,[]))}function Wit(t){return 0>t?new WE:new DB(null,new m5(t+1,t))}function Xit(t,e){var n;return 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i,r,a;for(a=t.a.length-1,r=t.b,i=0;i<n;r=r+1&a,++i)DG(e,i,t.a[r])}function urt(t,e){var n;return xK(e),n=e.g,!t.b[n]&&(DG(t.b,n,e),++t.c,!0)}function lrt(t,e){var n;return!((n=null==e?-1:_9(t.b,e,0))<0||(hrt(t,n),0))}function hrt(t,e){var n;n=u6(t.b,t.b.c.length-1),e<t.b.c.length&&(a5(t.b,e,n),$At(t,e))}function frt(t,e){0==(x5(),Xne?null:e.c).length&&UB(e,new G),mJ(t.a,Xne?null:e.c,e)}function drt(t,e){LEt(e,"Hierarchical port constraint processing",1),gwt(t),QGt(t),HCt(e)}function grt(t,e){var n,i;for(i=e.Kc();i.Ob();)n=zz(i.Pb(),266),t.b=!0,EY(t.e,n),n.b=t}function prt(t,e){var n,i;return n=1-e,i=t.a[n],t.a[n]=i.a[e],i.a[e]=t,t.b=!0,i.b=!1,i}function brt(t,e){var n,i;return n=zz(vTt(t,(HGt(),uwe)),8),i=zz(vTt(e,uwe),8),Aft(n.b,i.b)}function wrt(t){FZ.call(this),this.b=Zv(TB(vTt(t,(HGt(),vwe)))),this.a=zz(vTt(t,Jpe),218)}function yrt(t,e,n){Z2.call(this,t,e,n),this.a=new Pw,this.b=new Pw,this.d=new Kp(this)}function mrt(t){this.e=t,this.d=new 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Kd(t.b);i.a<i.c.c.length;)(e=(n=zz(t0(i),214)).c.Rf()?n.f:n.a)&&pHt(e,n.j)}function cht(){cht=I,yAe=new qA("INHERIT",0),wAe=new qA("INCLUDE_CHILDREN",1),mAe=new qA("SEPARATE_CHILDREN",2)}function uht(t,e){switch(e){case 1:return!t.n&&(t.n=new nY(UIe,t,1,7)),void lHt(t.n);case 2:return void Oit(t,null)}Yst(t,e)}function lht(t){switch(t.gc()){case 0:return zte;case 1:return new SH(vG(t.Xb(0)));default:return new CV(t)}}function hht(t){switch(u$(),t.gc()){case 0:return WG(),Xte;case 1:return new vx(t.Kc().Pb());default:return new yC(t)}}function fht(t){switch(u$(),t.c){case 0:return WG(),Xte;case 1:return new vx(JAt(new XE(t)));default:return new uv(t)}}function dht(t,e){vG(t);try{return t.xc(e)}catch(t){if(aO(t=dst(t),205)||aO(t,173))return null;throw qw(t)}}function ght(t,e){vG(t);try{return t.Bc(e)}catch(t){if(aO(t=dst(t),205)||aO(t,173))return null;throw qw(t)}}function pht(t,e){vG(t);try{return t.Hc(e)}catch(t){if(aO(t=dst(t),205)||aO(t,173))return!1;throw qw(t)}}function bht(t,e){vG(t);try{return t.Mc(e)}catch(t){if(aO(t=dst(t),205)||aO(t,173))return!1;throw qw(t)}}function wht(t,e){vG(t);try{return t._b(e)}catch(t){if(aO(t=dst(t),205)||aO(t,173))return!1;throw qw(t)}}function yht(t,e){t.a.c.length>0&&but(zz(PH(t.a,t.a.c.length-1),570),e)||Kz(t.a,new w5(e))}function mht(t){var e,n;Z$(),e=t.d.c-t.e.c,Let((n=zz(t.g,145)).b,new kp(e)),Let(n.c,new _p(e)),n5(n.i,new Ep(e))}function vht(t){var e;return(e=new Ax).a+="VerticalSegment ",sI(e,t.e),e.a+=" ",cI(e,QO(new mx,new Kd(t.k))),e.a}function xht(t){var e;return(e=zz(ftt(t.c.c,""),229))||(e=new YJ(kk(xk(new ys,""),"Other")),Jbt(t.c.c,"",e)),e}function kht(t){var e;return 0!=(64&t.Db)?ADt(t):((e=new hN(ADt(t))).a+=" (name: ",aI(e,t.zb),e.a+=")",e.a)}function _ht(t,e,n){var i,r;return r=t.sb,t.sb=e,0!=(4&t.Db)&&0==(1&t.Db)&&(i=new tY(t,1,4,r,e),n?n.Ei(i):n=i),n}function Eht(t,e){var n,i;for(n=0,i=sdt(t,e).Kc();i.Ob();)n+=null!=vTt(zz(i.Pb(),11),(hKt(),_fe))?1:0;return n}function Tht(t,e,n){var i,r,a;for(i=0,a=lwt(t,0);a.b!=a.d.c&&!((r=Zv(TB(d3(a))))>n);)r>=e&&++i;return i}function Cht(t,e,n){var i;return i=new N9(t.e,3,13,null,e.c||(wKt(),fDe),cyt(t,e),!1),n?n.Ei(i):n=i,n}function Sht(t,e,n){var i;return i=new N9(t.e,4,13,e.c||(wKt(),fDe),null,cyt(t,e),!1),n?n.Ei(i):n=i,n}function Aht(t,e,n){var i,r;return r=t.r,t.r=e,0!=(4&t.Db)&&0==(1&t.Db)&&(i=new tY(t,1,8,r,t.r),n?n.Ei(i):n=i),n}function Mht(t,e){var n,i;return!(i=(n=zz(e,676)).vk())&&n.wk(i=aO(e,88)?new DM(t,zz(e,26)):new $0(t,zz(e,148))),i}function Iht(t,e,n){var i;t.qi(t.i+1),i=t.oi(e,n),e!=t.i&&sqt(t.g,e,t.g,e+1,t.i-e),DG(t.g,e,i),++t.i,t.bi(e,n),t.ci()}function Lht(t,e){var n;return e.a&&(n=e.a.a.length,t.a?cI(t.a,t.b):t.a=new fN(t.d),Z0(t.a,e.a,e.d.length,n)),t}function Dht(t,e){var n,i,r;if(e.vi(t.a),null!=(r=zz(xot(t.a,8),1936)))for(n=0,i=r.length;n<i;++n)null.jm()}function Oht(t,e){var n;return n=new ct,t.a.sd(n)?(AO(),new yv(xK(E9(t,n.a,e)))):(_K(t),AO(),AO(),Cne)}function Nht(t,e){switch(e.g){case 2:case 1:return sdt(t,e);case 3:case 4:return iot(sdt(t,e))}return CX(),CX(),lne}function Pht(t,e){return GM(t)?mR(t,e):YM(t)?yR(t,e):UM(t)?(xK(t),ZM(t)===ZM(e)):iU(t)?t.Fb(e):LZ(t)?jI(t,e):y0(t,e)}function Bht(t){return t?0!=(1&t.i)?t==DNe?kee:t==LNe?Dee:t==BNe?Mee:t==PNe?Aee:t==ONe?Ree:t==FNe?jee:t==NNe?Tee:See:t:null}function Fht(t,e,n,i,r){0!=e&&0!=i&&(1==e?r[i]=byt(r,n,i,t[0]):1==i?r[e]=byt(r,t,e,n[0]):QIt(t,n,r,e,i))}function Rht(t,e){var n;0!=t.c.length&&(lL(n=zz(Vbt(t,P7(Ise,s1t,10,t.c.length,0,1)),193),new In),iIt(n,e))}function $ht(t,e){var n;0!=t.c.length&&(lL(n=zz(Vbt(t,P7(Ise,s1t,10,t.c.length,0,1)),193),new Ln),iIt(n,e))}function jht(t,e,n,i){switch(e){case 1:return!t.n&&(t.n=new nY(UIe,t,1,7)),t.n;case 2:return t.k}return Evt(t,e,n,i)}function zht(){zht=I,zSe=new RA(hQt,0),jSe=new RA(sQt,1),$Se=new RA(oQt,2),RSe=new RA(yQt,3),qSe=new RA("UP",4)}function qht(){qht=I,gse=new VC(VJt,0),dse=new VC("INSIDE_PORT_SIDE_GROUPS",1),fse=new VC("FORCE_MODEL_ORDER",2)}function Hht(t,e,n){if(t<0||e>n)throw qw(new Lv(vVt+t+kVt+e+", size: "+n));if(t>e)throw qw(new $v(vVt+t+xVt+e))}function Zht(t,e,n){if(e<0)oMt(t,n);else{if(!n.Ij())throw qw(new $v(a6t+n.ne()+o6t));zz(n,66).Nj().Vj(t,t.yh(),e)}}function Uht(t,e,n,i,r,a,o,s){var c;for(c=n;a<o;)c>=i||e<n&&s.ue(t[e],t[c])<=0?DG(r,a++,t[e++]):DG(r,a++,t[c++])}function Yht(t,e,n,i,r,a){this.e=new Nw,this.f=(sit(),Zye),Kz(this.e,t),this.d=e,this.a=n,this.b=i,this.f=r,this.c=a}function Ght(t,e){var n,i;for(i=new LO(t);i.e!=i.i.gc();)if(n=zz(kwt(i),26),ZM(e)===ZM(n))return!0;return!1}function Kht(t){var e,n,i,r;for(bKt(),i=0,r=(n=nwt()).length;i<r;++i)if(-1!=_9((e=n[i]).a,t,0))return e;return Mre}function Wht(t){return t>=65&&t<=70?t-65+10:t>=97&&t<=102?t-97+10:t>=48&&t<=57?t-48:0}function Xht(t){var e;return 0!=(64&t.Db)?ADt(t):((e=new hN(ADt(t))).a+=" (source: ",aI(e,t.d),e.a+=")",e.a)}function Vht(t,e,n){var i,r;return r=t.a,t.a=e,0!=(4&t.Db)&&0==(1&t.Db)&&(i=new tY(t,1,5,r,t.a),n?$_t(n,i):n=i),n}function Qht(t,e){var n;n=0!=(256&t.Bb),e?t.Bb|=256:t.Bb&=-257,0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new e6(t,1,2,n,e))}function Jht(t,e){var n;n=0!=(256&t.Bb),e?t.Bb|=256:t.Bb&=-257,0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new e6(t,1,8,n,e))}function tft(t,e){var n;n=0!=(256&t.Bb),e?t.Bb|=256:t.Bb&=-257,0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new e6(t,1,8,n,e))}function eft(t,e){var n;n=0!=(512&t.Bb),e?t.Bb|=512:t.Bb&=-513,0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new e6(t,1,3,n,e))}function nft(t,e){var n;n=0!=(512&t.Bb),e?t.Bb|=512:t.Bb&=-513,0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new e6(t,1,9,n,e))}function ift(t,e){var n;return-1==t.b&&t.a&&(n=t.a.Gj(),t.b=n?t.c.Xg(t.a.aj(),n):Dgt(t.c.Tg(),t.a)),t.c.Og(t.b,e)}function rft(t){var e,n;return t>-129&&t<128?(e=t+128,!(n=(eH(),Iee)[e])&&(n=Iee[e]=new Pd(t)),n):new Pd(t)}function aft(t){var e,n;return t>-129&&t<128?(e=t+128,!(n=(EH(),$ee)[e])&&(n=$ee[e]=new Fd(t)),n):new Fd(t)}function oft(t){var e;return t.k==(cCt(),Tse)&&((e=zz(vTt(t,(hKt(),Xhe)),61))==(kYt(),uMe)||e==CMe)}function sft(t,e,n){var i,r;return(r=ODt(t.b,e))&&(i=zz(Pqt(j9(t,r),""),26))?vDt(t,i,e,n):null}function cft(t,e,n){var i,r;return(r=ODt(t.b,e))&&(i=zz(Pqt(j9(t,r),""),26))?xDt(t,i,e,n):null}function uft(t,e){var n,i;for(i=new LO(t);i.e!=i.i.gc();)if(n=zz(kwt(i),138),ZM(e)===ZM(n))return!0;return!1}function lft(t,e,n){var i;if(e>(i=t.gc()))throw qw(new eR(e,i));if(t.hi()&&t.Hc(n))throw qw(new $v(s7t));t.Xh(e,n)}function hft(t,e){var n;if(null==(n=lnt(t.i,e)))throw qw(new nx("Node did not exist in input."));return $at(e,n),null}function fft(t,e){var n;if(aO(n=PNt(t,e),322))return zz(n,34);throw qw(new $v(a6t+e+"' is not a valid attribute"))}function dft(t,e,n){var i,r;for(r=aO(e,99)&&0!=(zz(e,18).Bb&qXt)?new PI(e,t):new Dot(e,t),i=0;i<n;++i)oyt(r);return r}function gft(t){var e,n,i;for(i=0,n=t.length,e=0;e<n;e++)32==t[e]||13==t[e]||10==t[e]||9==t[e]||(t[i++]=t[e]);return i}function pft(t){var e,n,i;for(e=new Nw,i=new Kd(t.b);i.a<i.c.c.length;)n=zz(t0(i),594),wst(e,zz(n.jf(),14));return e}function bft(t){var e,n;for(n=zz(vTt(t,(ZHt(),fxe)),15).Kc();n.Ob();)Bq((e=zz(n.Pb(),188)).b.d,e),Bq(e.c.b,e)}function wft(t){switch(zz(vTt(t,(hKt(),ife)),303).g){case 1:hct(t,ife,(U9(),Che));break;case 2:hct(t,ife,(U9(),Ahe))}}function yft(t){var e;t.g&&(BPt((e=t.c.Rf()?t.f:t.a).a,t.o,!0),BPt(e.a,t.o,!1),hct(t.o,(HGt(),nwe),(V_t(),YAe)))}function mft(t){var e;if(!t.a)throw qw(new jv("Cannot offset an unassigned cut."));e=t.c-t.b,t.b+=e,PX(t,e),NX(t,e)}function vft(t){var e;return null==(e=t.a[t.c-1&t.a.length-1])?null:(t.c=t.c-1&t.a.length-1,DG(t.a,t.c,null),e)}function xft(t){var e,n;for(n=t.p.a.ec().Kc();n.Ob();)if((e=zz(n.Pb(),213)).f&&t.b[e.c]<-1e-10)return e;return null}function kft(t,e){switch(t.b.g){case 0:case 1:return e;case 2:case 3:return new YW(e.d,0,e.a,e.b);default:return null}}function _ft(t){switch(t.g){case 2:return jSe;case 1:return $Se;case 4:return RSe;case 3:return qSe;default:return zSe}}function Eft(t){switch(t.g){case 1:return AMe;case 2:return uMe;case 3:return cMe;case 4:return CMe;default:return SMe}}function Tft(t){switch(t.g){case 1:return CMe;case 2:return AMe;case 3:return uMe;case 4:return cMe;default:return SMe}}function Cft(t){switch(t.g){case 1:return cMe;case 2:return CMe;case 3:return AMe;case 4:return uMe;default:return SMe}}function Sft(t){switch(t){case 0:return new mm;case 1:return new wm;case 2:return new ym;default:throw qw(new gy)}}function Aft(t,e){return t<e?-1:t>e?1:t==e?0==t?Aft(1/t,1/e):0:isNaN(t)?isNaN(e)?0:1:-1}function Mft(t,e){LEt(e,"Sort end labels",1),QE(LW(gtt(new FH(null,new g1(t.b,16)),new gn),new pn),new bn),HCt(e)}function Ift(t,e,n){var i,r;return t.ej()?(r=t.fj(),i=QMt(t,e,n),t.$i(t.Zi(7,rft(n),i,e,r)),i):QMt(t,e,n)}function Lft(t,e){var n,i,r;null==t.d?(++t.e,--t.f):(r=e.cd(),N6(t,i=((n=e.Sh())&FKt)%t.d.length,DDt(t,i,n,r)))}function Dft(t,e){var n;n=0!=(t.Bb&k6t),e?t.Bb|=k6t:t.Bb&=-1025,0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new e6(t,1,10,n,e))}function Oft(t,e){var n;n=0!=(t.Bb&jXt),e?t.Bb|=jXt:t.Bb&=-4097,0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new e6(t,1,12,n,e))}function Nft(t,e){var n;n=0!=(t.Bb&T8t),e?t.Bb|=T8t:t.Bb&=-8193,0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new e6(t,1,15,n,e))}function Pft(t,e){var n;n=0!=(t.Bb&C8t),e?t.Bb|=C8t:t.Bb&=-2049,0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new e6(t,1,11,n,e))}function Bft(t,e){var n;return 0!=(n=Aft(t.b.c,e.b.c))||0!=(n=Aft(t.a.a,e.a.a))?n:Aft(t.a.b,e.a.b)}function Fft(t,e){var n;if(null==(n=FG(t.k,e)))throw qw(new nx("Port did not exist in input."));return $at(e,n),null}function Rft(t){var e,n;for(n=UDt(Get(t)).Kc();n.Ob();)if(P$t(t,e=CB(n.Pb())))return v4((YT(),FLe),e);return null}function $ft(t,e){var n,i,r,a,o;for(o=sPt(t.e.Tg(),e),a=0,n=zz(t.g,119),r=0;r<t.i;++r)i=n[r],o.rl(i.ak())&&++a;return a}function jft(t,e,n){var i,r;return i=zz(e.We(t.a),35),r=zz(n.We(t.a),35),null!=i&&null!=r?Pat(i,r):null!=i?-1:null!=r?1:0}function zft(t,e,n){var i;if(t.c)dTt(t.c,e,n);else for(i=new Kd(t.b);i.a<i.c.c.length;)zft(zz(t0(i),157),e,n)}function qft(t,e){var n,i;for(i=new Kd(e);i.a<i.c.c.length;)n=zz(t0(i),46),v9(t.b.b,n.b),sV(zz(n.a,189),zz(n.b,81))}function Hft(t){var e,n;for(n=PG(new Ax,91),e=!0;t.Ob();)e||(n.a+=zKt),e=!1,sI(n,t.Pb());return(n.a+="]",n).a}function Zft(t,e){var n;n=0!=(t.Bb&hWt),e?t.Bb|=hWt:t.Bb&=-16385,0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new e6(t,1,16,n,e))}function Uft(t,e){var n;n=0!=(t.Bb&h6t),e?t.Bb|=h6t:t.Bb&=-32769,0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new e6(t,1,18,n,e))}function Yft(t,e){var n;n=0!=(t.Bb&h6t),e?t.Bb|=h6t:t.Bb&=-32769,0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new e6(t,1,18,n,e))}function Gft(t,e){var n;n=0!=(t.Bb&qXt),e?t.Bb|=qXt:t.Bb&=-65537,0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new e6(t,1,20,n,e))}function Kft(t){var e;return e=P7(INe,WWt,25,2,15,1),t-=qXt,e[0]=(t>>10)+HXt&VWt,e[1]=56320+(1023&t)&VWt,qpt(e,0,e.length)}function Wft(t){var e;return(e=zz(vTt(t,(HGt(),Ype)),103))==(zht(),zSe)?Zv(TB(vTt(t,_pe)))>=1?jSe:RSe:e}function Xft(t){switch(zz(vTt(t,(HGt(),Jpe)),218).g){case 1:return new ia;case 3:return new ca;default:return new na}}function Vft(t){if(t.c)Vft(t.c);else if(t.d)throw qw(new jv("Stream already terminated, can't be modified or used"))}function Qft(t){var e;return 0!=(64&t.Db)?ADt(t):((e=new hN(ADt(t))).a+=" (identifier: ",aI(e,t.k),e.a+=")",e.a)}function Jft(t,e,n){var i;return e_(),_nt(i=new ac,e),Ent(i,n),t&&h8((!t.a&&(t.a=new DO(PIe,t,5)),t.a),i),i}function tdt(t,e,n,i){var r,a;return xK(i),xK(n),null==(a=null==(r=t.xc(e))?n:JE(zz(r,15),zz(n,14)))?t.Bc(e):t.zc(e,a),a}function edt(t){var e,n,i,r;return urt(n=new VR(e=zz(Wk((r=(i=t.gm).f)==Gte?i:r),9),zz(CF(e,e.length),9),0),t),n}function ndt(t,e,n){var i,r;for(r=t.a.ec().Kc();r.Ob();)if(i=zz(r.Pb(),10),ust(n,zz(PH(e,i.p),14)))return i;return null}function idt(t,e,n){try{jct(t,e,n)}catch(t){throw aO(t=dst(t),597)?qw(new b5(t)):qw(t)}return e}function rdt(t,e){var n;return 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e,n;for(e=new Nw,n=new Kd(t.j);n.a<n.c.c.length;)Kz(e,zz(t0(n),11).g);return vG(e),new II(e)}function gdt(t){var e,n;for(n=nDt(Get(pJ(t))).Kc();n.Ob();)if(P$t(t,e=CB(n.Pb())))return x4((GT(),YLe),e);return null}function pdt(t){var e,n;for(e=0,n=t.length;e<n;e++)if(null==t[e])throw qw(new qv("at index "+e));return new Qv(t)}function bdt(t,e){var n;if(aO(n=PNt(t.Tg(),e),99))return zz(n,18);throw qw(new $v(a6t+e+"' is not a valid reference"))}function wdt(t){var e;return(e=gCt(t))>34028234663852886e22?RXt:e<-34028234663852886e22?$Xt:e}function ydt(t){return t=((t=((t-=t>>1&1431655765)>>2&858993459)+(858993459&t))>>4)+t&252645135,t+=t>>8,63&(t+=t>>16)}function mdt(t){var e,n,i;for(e=new lF(t.Hd().gc()),i=0,n=O8(t.Hd().Kc());n.Ob();)kJ(e,n.Pb(),rft(i++));return PCt(e.a)}function vdt(t,e){var n,i,r;for(r=new Pw,i=e.vc().Kc();i.Ob();)WK(r,(n=zz(i.Pb(),42)).cd(),dot(t,zz(n.dd(),15)));return r}function xdt(t,e){0==t.n.c.length&&Kz(t.n,new 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bA("GRAPH_SIZE_CALCULATION",2)}function Idt(t,e){return lD(),ait($Wt),n.Math.abs(t-e)<=$Wt||t==e||isNaN(t)&&isNaN(e)?0:t<e?-1:t>e?1:UI(isNaN(t),isNaN(e))}function Ldt(t,e){var n,i;for(n=lwt(t,0);n.b!=n.d.c;){if((i=Uv(TB(d3(n))))==e)return;if(i>e){Y0(n);break}}tG(n,e)}function Ddt(t,e){var n,i,r,a,o;if(n=e.f,Jbt(t.c.d,n,e),null!=e.g)for(a=0,o=(r=e.g).length;a<o;++a)i=r[a],Jbt(t.c.e,i,e)}function Odt(t,e,n,i){var r,a,o;for(r=e+1;r<n;++r)for(a=r;a>e&&i.ue(t[a-1],t[a])>0;--a)o=t[a],DG(t,a,t[a-1]),DG(t,a-1,o)}function Ndt(t,e,n,i){if(e<0)TOt(t,n,i);else{if(!n.Ij())throw qw(new $v(a6t+n.ne()+o6t));zz(n,66).Nj().Tj(t,t.yh(),e,i)}}function Pdt(t,e){if(e==t.d)return t.e;if(e==t.e)return t.d;throw qw(new $v("Node "+e+" not part of edge "+t))}function Bdt(t,e){switch(e.g){case 2:return t.b;case 1:return t.c;case 4:return t.d;case 3:return t.a;default:return!1}}function Fdt(t,e){switch(e.g){case 2:return t.b;case 1:return t.c;case 4:return t.d;case 3:return t.a;default:return!1}}function Rdt(t,e,n,i){switch(e){case 3:return t.f;case 4:return t.g;case 5:return t.i;case 6:return t.j}return jht(t,e,n,i)}function $dt(t){return t.k==(cCt(),Ase)&&c5(new FH(null,new UY(new cU(JO(ddt(t).a.Kc(),new l)))),new Hr)}function jdt(t){return null==t.e?t:(!t.c&&(t.c=new aFt(0!=(256&t.f),t.i,t.a,t.d,0!=(16&t.f),t.j,t.g,null)),t.c)}function zdt(t,e){return t.h==MXt&&0==t.m&&0==t.l?(e&&(dee=TD(0,0,0)),KI((G9(),bee))):(e&&(dee=TD(t.l,t.m,t.h)),TD(0,0,0))}function qdt(t){return Array.isArray(t)&&t.im===M?t_(nut(t))+"@"+(eut(t)>>>0).toString(16):t.toString()}function Hdt(t){var e;this.a=new VR(e=zz(t.e&&t.e(),9),zz(CF(e,e.length),9),0),this.b=P7(Dte,HKt,1,this.a.a.length,5,1)}function Zdt(t){var e,n,i;for(this.a=new hL,i=new Kd(t);i.a<i.c.c.length;)n=zz(t0(i),14),grt(e=new lZ,n),EY(this.a,e)}function Udt(t){var e,n;for(HB(),e=t.o.b,n=zz(zz(l6(t.r,(kYt(),CMe)),21),84).Kc();n.Ob();)zz(n.Pb(),111).e.b+=e}function Ydt(t){var e;if(t.b){if(Ydt(t.b),t.b.d!=t.c)throw qw(new yy)}else t.d.dc()&&(e=zz(t.f.c.xc(t.e),14))&&(t.d=e)}function Gdt(t){var e;return null==t||(e=t.length)>0&&(d1(e-1,t.length),58==t.charCodeAt(e-1))&&!Kdt(t,OLe,NLe)}function Kdt(t,e,n){var i,r;for(i=0,r=t.length;i<r;i++)if(nct((d1(i,t.length),t.charCodeAt(i)),e,n))return!0;return!1}function Wdt(t,e){var n,i;for(i=t.e.a.ec().Kc();i.Ob();)if(nCt(e,(n=zz(i.Pb(),266)).d)||IAt(e,n.d))return!0;return!1}function Xdt(t,e){var n,i,r;for(r=(i=HFt(t,e))[i.length-1]/2,n=0;n<i.length;n++)if(i[n]>=r)return e.c+n;return e.c+e.b.gc()}function Vdt(t,e){var n,i,r,a;for(pB(),r=e,U8(i=q8(t),0,i.length,r),n=0;n<i.length;n++)n!=(a=wxt(t,i[n],n))&&Ift(t,n,a)}function Qdt(t,e){var n,i,r,a,o,s;for(i=0,n=0,o=0,s=(a=e).length;o<s;++o)(r=a[o])>0&&(i+=r,++n);return n>1&&(i+=t.d*(n-1)),i}function Jdt(t){var e,n,i;for((i=new Cx).a+="[",e=0,n=t.gc();e<n;)aI(i,xN(t.ki(e))),++e<n&&(i.a+=zKt);return i.a+="]",i.a}function tgt(t){var e,n,i;return i=DEt(t),!K_(t.c)&&(ret(i,"knownLayouters",n=new Af),e=new rw(n),n5(t.c,e)),i}function egt(t,e){var n,i;for(xK(e),n=!1,i=new Kd(t);i.a<i.c.c.length;)xgt(e,t0(i),!1)&&(LY(i),n=!0);return n}function ngt(t){var e,n;for(n=Zv(TB(t.a.We((lKt(),ISe)))),e=new Kd(t.a.xf());e.a<e.c.c.length;)XYt(t,zz(t0(e),680),n)}function igt(t,e){var n,i;for(i=new Kd(e);i.a<i.c.c.length;)n=zz(t0(i),46),Kz(t.b.b,zz(n.b,81)),b2(zz(n.a,189),zz(n.b,81))}function rgt(t,e,n){var i,r;for(i=(r=t.a.b).c.length;i<n;i++)xZ(r,0,new qG(t.a));SJ(e,zz(PH(r,r.c.length-n),29)),t.b[e.p]=n}function agt(t,e,n){var i;!(i=n)&&(i=Oq(new Gm,0)),LEt(i,ZJt,2),vyt(t.b,e,vat(i,1)),$Ht(t,e,vat(i,1)),ZYt(e,vat(i,1)),HCt(i)}function ogt(t,e,n,i,r){zJ(),GNt(oT(aT(rT(sT(new qy,0),r.d.e-t),e),r.d)),GNt(oT(aT(rT(sT(new qy,0),n-r.a.e),r.a),i))}function sgt(t,e,n,i,r,a){this.a=t,this.c=e,this.b=n,this.f=i,this.d=r,this.e=a,this.c>0&&this.b>0&&VH(this.c,this.b,this.a)}function cgt(t){Rgt(),this.c=s6(Ast(Zx(rTe,1),HKt,831,0,[Kwe])),this.b=new Pw,this.a=t,WK(this.b,Wwe,1),Let(Xwe,new Sb(this))}function ugt(t,e){var n;return t.d?lY(t.b,e)?zz(FG(t.b,e),51):(n=e.Kf(),WK(t.b,e,n),n):e.Kf()}function lgt(t,e){var n;return ZM(t)===ZM(e)||!!aO(e,91)&&(n=zz(e,91),t.e==n.e&&t.d==n.d&&_4(t,n.a))}function hgt(t){switch(kYt(),t.g){case 4:return uMe;case 1:return cMe;case 3:return CMe;case 2:return AMe;default:return SMe}}function fgt(t,e){switch(e){case 3:return 0!=t.f;case 4:return 0!=t.g;case 5:return 0!=t.i;case 6:return 0!=t.j}return Eot(t,e)}function dgt(t){switch(t.g){case 0:return new Uo;case 1:return new Yo;default:throw qw(new $v(o4t+(null!=t.f?t.f:""+t.g)))}}function ggt(t){switch(t.g){case 0:return new Zo;case 1:return new Go;default:throw qw(new $v(C1t+(null!=t.f?t.f:""+t.g)))}}function pgt(t){switch(t.g){case 0:return new Wm;case 1:return new vm;default:throw qw(new $v(P4t+(null!=t.f?t.f:""+t.g)))}}function bgt(t){switch(t.g){case 1:return new Ro;case 2:return new bB;default:throw qw(new $v(o4t+(null!=t.f?t.f:""+t.g)))}}function wgt(t){var e,n;if(t.b)return t.b;for(n=Xne?null:t.d;n;){if(e=Xne?null:n.b)return e;n=Xne?null:n.d}return fT(),qne}function ygt(t){var e,n;return 0==t.e?0:(e=t.d<<5,n=t.a[t.d-1],t.e<0&&Mat(t)==t.d-1&&(--n,n|=0),e-=tIt(n))}function mgt(t){var e,n,i;return t<nne.length?nne[t]:(e=31&t,(i=P7(LNe,hXt,25,1+(n=t>>5),15,1))[n]=1<<e,new fY(1,n+1,i))}function vgt(t){var e,n,i;return(n=t.zg())?aO(e=t.Ug(),160)&&null!=(i=vgt(zz(e,160)))?i+"."+n:n:null}function xgt(t,e,n){var i,r;for(r=t.Kc();r.Ob();)if(i=r.Pb(),ZM(e)===ZM(i)||null!=e&&Pht(e,i))return n&&r.Qb(),!0;return!1}function kgt(t,e,n){var i,r;if(++t.j,n.dc())return!1;for(r=n.Kc();r.Ob();)i=r.Pb(),t.Hi(e,t.oi(e,i)),++e;return!0}function _gt(t,e,n,i){var r,a;if((a=n-e)<3)for(;a<3;)t*=10,++a;else{for(r=1;a>3;)r*=10,--a;t=(t+(r>>1))/r|0}return i.i=t,!0}function Egt(t){return Slt(),lN(),!!(Fdt(zz(t.a,81).j,zz(t.b,103))||0!=zz(t.a,81).d.e&&Fdt(zz(t.a,81).j,zz(t.b,103)))}function Tgt(t){P8(),zz(t.We((lKt(),HCe)),174).Hc((e$t(),WMe))&&(zz(t.We(hSe),174).Fc((dMt(),aMe)),zz(t.We(HCe),174).Mc(WMe))}function Cgt(t,e){var n;if(e){for(n=0;n<t.i;++n)if(zz(t.g[n],366).Di(e))return!1;return h8(t,e)}return!1}function Sgt(t){var e,n,i;for(e=new Af,i=new Hd(t.b.Kc());i.b.Ob();)n=XCt(zz(i.b.Pb(),686)),KY(e,e.a.length,n);return e.a}function Agt(t){var e;return!t.c&&(t.c=new Ot),mD(t.d,new Pt),QRt(t),e=dBt(t),QE(new FH(null,new g1(t.d,16)),new Mg(t)),e}function Mgt(t){var e;return 0!=(64&t.Db)?kht(t):((e=new hN(kht(t))).a+=" (instanceClassName: ",aI(e,t.D),e.a+=")",e.a)}function Igt(t,e){var n,i;e&&(n=Rnt(e,"x"),Tnt(new Jb(t).a,(xK(n),n)),i=Rnt(e,"y"),Lnt(new tw(t).a,(xK(i),i)))}function Lgt(t,e){var n,i;e&&(n=Rnt(e,"x"),Int(new Wb(t).a,(xK(n),n)),i=Rnt(e,"y"),Dnt(new Vb(t).a,(xK(i),i)))}function Dgt(t,e){var n,i,r;if(null==t.i&&Zjt(t),n=t.i,-1!=(i=e.aj()))for(r=n.length;i<r;++i)if(n[i]==e)return i;return-1}function Ogt(t){var e,n,i,r;for(n=zz(t.g,674),i=t.i-1;i>=0;--i)for(e=n[i],r=0;r<i;++r)if(mjt(t,e,n[r])){Nvt(t,i);break}}function Ngt(t){var e=t.e;function n(t){return t&&0!=t.length?"\t"+t.join("\n\t"):""}return e&&(e.stack||n(t[GWt]))}function Pgt(t){var e;switch(KG(),(e=t.Pc()).length){case 0:return zte;case 1:return new SH(vG(e[0]));default:return new CV(pdt(e))}}function Bgt(t,e){switch(e.g){case 1:return Rz(t.j,(wat(),Nse));case 2:return Rz(t.j,(wat(),Bse));default:return CX(),CX(),lne}}function Fgt(t,e){switch(e){case 3:return void Cnt(t,0);case 4:return void Snt(t,0);case 5:return void Ant(t,0);case 6:return void Mnt(t,0)}uht(t,e)}function Rgt(){Rgt=I,LT(),HGt(),Wwe=Iwe,Xwe=s6(Ast(Zx(fTe,1),k3t,146,0,[mwe,vwe,kwe,_we,Cwe,Swe,Awe,Mwe,Dwe,Nwe,xwe,Ewe,Lwe]))}function $gt(t){var e,n;e=t.d==(OSt(),Que),n=O_t(t),hct(t.a,(HGt(),xpe),e&&!n||!e&&n?(pyt(),DTe):(pyt(),LTe))}function jgt(t,e){var n;return(n=zz(S4(t,m8(new q,new z,new it,Ast(Zx(tie,1),OWt,132,0,[(Zut(),Yne)]))),15)).Qc(fq(n.gc()))}function 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Wgt(t){var e;return null==t?null:new DL((e=zzt(t,!0)).length>0&&(d1(0,e.length),43==e.charCodeAt(0))?e.substr(1):e)}function Xgt(t){var e;return null==t?null:new DL((e=zzt(t,!0)).length>0&&(d1(0,e.length),43==e.charCodeAt(0))?e.substr(1):e)}function Vgt(t,e){return t.i>0&&(e.length<t.i&&(e=Fnt(nut(e).c,t.i)),sqt(t.g,0,e,0,t.i)),e.length>t.i&&DG(e,t.i,null),e}function Qgt(t,e,n){var i,r,a;return t.ej()?(i=t.i,a=t.fj(),Iht(t,i,e),r=t.Zi(3,null,e,i,a),n?n.Ei(r):n=r):Iht(t,t.i,e),n}function Jgt(t,e,n){var i,r;return i=new N9(t.e,4,10,aO(r=e.c,88)?zz(r,26):(wKt(),pDe),null,cyt(t,e),!1),n?n.Ei(i):n=i,n}function tpt(t,e,n){var i,r;return i=new N9(t.e,3,10,null,aO(r=e.c,88)?zz(r,26):(wKt(),pDe),cyt(t,e),!1),n?n.Ei(i):n=i,n}function ept(t){var e;return HB(),e=new gL(zz(t.e.We((lKt(),zCe)),8)),t.B.Hc((e$t(),ZMe))&&(e.a<=0&&(e.a=20),e.b<=0&&(e.b=20)),e}function npt(t){return gyt(),(t.q?t.q:(CX(),CX(),hne))._b((HGt(),Fbe))?zz(vTt(t,Fbe),197):zz(vTt(yK(t),Rbe),197)}function ipt(t,e){var n,i;return i=null,OP(t,(HGt(),Twe))&&(n=zz(vTt(t,Twe),94)).Xe(e)&&(i=n.We(e)),null==i&&(i=vTt(yK(t),e)),i}function rpt(t,e){var n,i,r;return!!aO(e,42)&&(i=(n=zz(e,42)).cd(),gK(r=dht(t.Rc(),i),n.dd())&&(null!=r||t.Rc()._b(i)))}function apt(t,e){var n;return t.f>0&&(t.qj(),-1!=DDt(t,((n=null==e?0:eut(e))&FKt)%t.d.length,n,e))}function opt(t,e){var n,i;return t.f>0&&(t.qj(),n=sIt(t,((i=null==e?0:eut(e))&FKt)%t.d.length,i,e))?n.dd():null}function spt(t,e){var n,i,r,a;for(a=sPt(t.e.Tg(),e),n=zz(t.g,119),r=0;r<t.i;++r)if(i=n[r],a.rl(i.ak()))return!1;return!0}function cpt(t){if(null==t.b){for(;t.a.Ob();)if(t.b=t.a.Pb(),!zz(t.b,49).Zg())return!0;return t.b=null,!1}return!0}function upt(t,e){t.mj();try{t.d.Vc(t.e++,e),t.f=t.d.j,t.g=-1}catch(t){throw aO(t=dst(t),73)?qw(new yy):qw(t)}}function lpt(t,e){var n,i;return uD(),i=null,e==(n=hF((hx(),hx(),aee)))&&(i=zz(CQ(ree,t),615)),i||(i=new UG(t),e==n&&mJ(ree,t,i)),i}function hpt(t,e){var i,r;t.a=adt(t.a,1),t.c=n.Math.min(t.c,e),t.b=n.Math.max(t.b,e),t.d+=e,i=e-t.f,r=t.e+i,t.f=r-t.e-i,t.e=r}function fpt(t,e){var n;t.c=e,t.a=ygt(e),t.a<54&&(t.f=(n=e.d>1?i0(vU(e.a[1],32),n0(e.a[0],GXt)):n0(e.a[0],GXt),k2(odt(e.e,n))))}function dpt(t,e){var n;return QI(t)&&QI(e)&&OXt<(n=t%e)&&n<LXt?n:cot((DHt(QI(t)?Aot(t):t,QI(e)?Aot(e):e,!0),dee))}function gpt(t,e){var n;FUt(e),(n=zz(vTt(t,(HGt(),Qpe)),276))&&hct(t,Qpe,Dvt(n)),tP(t.c),tP(t.f),W6(t.d),W6(zz(vTt(t,Lbe),207))}function ppt(t){this.e=P7(LNe,hXt,25,t.length,15,1),this.c=P7(DNe,tQt,25,t.length,16,1),this.b=P7(DNe,tQt,25,t.length,16,1),this.f=0}function bpt(t){var e,n;for(t.j=P7(PNe,ZXt,25,t.p.c.length,15,1),n=new Kd(t.p);n.a<n.c.c.length;)e=zz(t0(n),10),t.j[e.p]=e.o.b/t.i}function wpt(t){var e;0!=t.c&&(1==(e=zz(PH(t.a,t.b),287)).b?(++t.b,t.b<t.a.c.length&&Ed(zz(PH(t.a,t.b),287))):--e.b,--t.c)}function ypt(t){var e;e=t.a;do{(e=zz(Y5(new cU(JO(ddt(e).a.Kc(),new 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i,r,a;for(r=null,a=t.b;a;){if(i=t.a.ue(e,a.d),n&&0==i)return a;i>=0?a=a.a[1]:(r=a,a=a.a[0])}return r}function Spt(t,e,n){var i,r,a;for(r=null,a=t.b;a;){if(i=t.a.ue(e,a.d),n&&0==i)return a;i<=0?a=a.a[0]:(r=a,a=a.a[1])}return r}function Apt(t,e,n,i){var r,a,o;return r=!1,NZt(t.f,n,i)&&(Bbt(t.f,t.a[e][n],t.a[e][i]),o=(a=t.a[e])[i],a[i]=a[n],a[n]=o,r=!0),r}function Mpt(t,e,n,i,r){var a,o,s;for(o=r;e.b!=e.c;)a=zz(pY(e),10),s=zz(sdt(a,i).Xb(0),11),t.d[s.p]=o++,n.c[n.c.length]=s;return o}function Ipt(t,e,i){var r,a,o,s,c;return s=t.k,c=e.k,a=TB(ipt(t,r=i[s.g][c.g])),o=TB(ipt(e,r)),n.Math.max((xK(a),a),(xK(o),o))}function Lpt(t,e,n){var i,r,a,o;for(i=n/t.c.length,r=0,o=new Kd(t);o.a<o.c.c.length;)wlt(a=zz(t0(o),200),a.f+i*r),skt(a,e,i),++r}function Dpt(t,e,n){var i,r,a;for(r=zz(FG(t.b,n),177),i=0,a=new Kd(e.j);a.a<a.c.c.length;)r[zz(t0(a),113).d.p]&&++i;return i}function Opt(t){var e,n;return null!=(e=zz(xot(t.a,4),126))?(sqt(e,0,n=P7(pLe,r8t,415,e.length,0,1),0,e.length),n):gLe}function Npt(){var t;return 0!=oee&&(t=f5())-see>2e3&&(see=t,cee=n.setTimeout(X_,10)),0==oee++&&(Itt((ux(),nee)),!0)}function Ppt(t,e){var n;for(n=new cU(JO(ddt(t).a.Kc(),new l));bLt(n);)if(zz(Y5(n),17).d.i.c==e)return!1;return!0}function Bpt(t,e){var n;if(aO(e,245)){n=zz(e,245);try{return 0==t.vd(n)}catch(t){if(!aO(t=dst(t),205))throw qw(t)}}return!1}function Fpt(){return Error.stackTraceLimit>0?(n.Error.stackTraceLimit=Error.stackTraceLimit=64,!0):"stack"in new Error}function Rpt(t,e){return lD(),lD(),ait($Wt),(n.Math.abs(t-e)<=$Wt||t==e||isNaN(t)&&isNaN(e)?0:t<e?-1:t>e?1:UI(isNaN(t),isNaN(e)))>0}function $pt(t,e){return lD(),lD(),ait($Wt),(n.Math.abs(t-e)<=$Wt||t==e||isNaN(t)&&isNaN(e)?0:t<e?-1:t>e?1:UI(isNaN(t),isNaN(e)))<0}function jpt(t,e){return lD(),lD(),ait($Wt),(n.Math.abs(t-e)<=$Wt||t==e||isNaN(t)&&isNaN(e)?0:t<e?-1:t>e?1:UI(isNaN(t),isNaN(e)))<=0}function zpt(t,e){for(var n=0;!e[n]||""==e[n];)n++;for(var i=e[n++];n<e.length;n++)e[n]&&""!=e[n]&&(i+=t+e[n]);return i}function qpt(t,e,i){var r,a,o,s;for($7(e,o=e+i,t.length),s="",a=e;a<o;)r=n.Math.min(a+1e4,o),s+=KK(t.slice(a,r)),a=r;return s}function Hpt(t){var e,n,i,r;if(null==t)return null;for(r=new Nw,n=0,i=(e=xut(t)).length;n<i;++n)Kz(r,zzt(e[n],!0));return r}function Zpt(t){var e,n,i,r;if(null==t)return null;for(r=new Nw,n=0,i=(e=xut(t)).length;n<i;++n)Kz(r,zzt(e[n],!0));return r}function Upt(t){var e,n,i,r;if(null==t)return null;for(r=new Nw,n=0,i=(e=xut(t)).length;n<i;++n)Kz(r,zzt(e[n],!0));return r}function Ypt(t,e){var n,i,r;if(t.c)Snt(t.c,e);else for(n=e-iZ(t),r=new Kd(t.d);r.a<r.c.c.length;)Ypt(i=zz(t0(r),157),iZ(i)+n)}function Gpt(t,e){var n,i,r;if(t.c)Cnt(t.c,e);else for(n=e-nZ(t),r=new Kd(t.a);r.a<r.c.c.length;)Gpt(i=zz(t0(r),157),nZ(i)+n)}function Kpt(t,e){var n,i,r;for(i=new Q6(e.gc()),n=e.Kc();n.Ob();)(r=n$t(t,zz(n.Pb(),56)))&&(i.c[i.c.length]=r);return i}function Wpt(t,e){var n,i;return t.qj(),(n=sIt(t,((i=null==e?0:eut(e))&FKt)%t.d.length,i,e))?(hit(t,n),n.dd()):null}function Xpt(t){var e,n;for(n=cSt(t),e=null;2==t.c;)VGt(t),e||(pKt(),pKt(),nHt(e=new rD(2),n),n=e),n.$l(cSt(t));return n}function Vpt(t){if(!(Z6t in t.a))throw qw(new nx("Every element must have an id."));return kMt(UQ(t,Z6t))}function Qpt(t){var e,n,i;if(!(i=t.Zg()))for(e=0,n=t.eh();n;n=n.eh()){if(++e>UXt)return n.fh();if((i=n.Zg())||n==t)break}return i}function Jpt(t){return lJ(),aO(t,156)?zz(FG(lLe,vne),288).vg(t):lY(lLe,nut(t))?zz(FG(lLe,nut(t)),288).vg(t):null}function tbt(t){if(vbt(s5t,t))return lN(),mee;if(vbt(c5t,t))return lN(),yee;throw qw(new $v("Expecting true or false"))}function ebt(t,e){if(e.c==t)return e.d;if(e.d==t)return e.c;throw qw(new $v("Input edge is not connected to the input port."))}function nbt(t,e){return t.e>e.e?1:t.e<e.e?-1:t.d>e.d?t.e:t.d<e.d?-e.e:t.e*Cut(t.a,e.a,t.d)}function ibt(t){return t>=48&&t<48+n.Math.min(10,10)?t-48:t>=97&&t<97?t-97+10:t>=65&&t<65?t-65+10:-1}function rbt(t,e){var n;return ZM(e)===ZM(t)||!!aO(e,21)&&(n=zz(e,21)).gc()==t.gc()&&t.Ic(n)}function abt(t,e){var n,i,r;return i=t.a.length-1,n=e-t.b&i,r=t.c-e&i,_P(n<(t.c-t.b&i)),n>=r?(slt(t,e),-1):(clt(t,e),1)}function obt(t,e){var n,i;for(d1(e,t.length),n=t.charCodeAt(e),i=e+1;i<t.length&&(d1(i,t.length),t.charCodeAt(i)==n);)++i;return i-e}function sbt(t){switch(t.g){case 12:case 13:case 14:case 15:case 16:case 17:case 18:case 19:case 20:return!0;default:return!1}}function cbt(t,e){var n,i=t.a;e=String(e),i.hasOwnProperty(e)&&(n=i[e]);var r=(tct(),fee)[typeof n];return r?r(n):klt(typeof n)}function ubt(t,e){if(t.a<0)throw qw(new jv("Did not call before(...) or after(...) before calling add(...)."));return KN(t,t.a,e),t}function lbt(t,e,n,i){var r;0!=e.c.length&&(r=COt(n,i),QE(xet(new FH(null,new g1(cMt(e),1)),new _o),new GW(t,n,r,i)))}function hbt(t,e,n){var i;0!=(t.Db&e)?null==n?WIt(t,e):-1==(i=Rmt(t,e))?t.Eb=n:DG(int(t.Eb),i,n):null!=n&&vPt(t,e,n)}function fbt(t){var e;return 0==(32&t.Db)&&0!=(e=dG(zz(xot(t,16),26)||t.zh())-dG(t.zh()))&&hbt(t,32,P7(Dte,HKt,1,e,5,1)),t}function dbt(t){var e;return t.b||Gk(t,!(e=tR(t.e,t.a))||!mR(c5t,opt((!e.b&&(e.b=new QP((wKt(),xDe),GDe,e)),e.b),"qualified"))),t.c}function gbt(t,e,n){var i,r;return((r=(i=zz(Wet(q9(t.a),e),87)).c||(wKt(),fDe)).kh()?nht(t.b,zz(r,49)):r)==n?djt(i):ont(i,n),r}function pbt(t,e){(e||null==console.groupCollapsed?null!=console.group?console.group:console.log:console.groupCollapsed).call(console,t)}function bbt(t,e,n,i){zz(n.b,65),zz(n.b,65),zz(i.b,65),zz(i.b,65).c.b,R7(i,e,t)}function wbt(t){var e,n;for(e=new Kd(t.g);e.a<e.c.c.length;)zz(t0(e),562);YUt(n=new xPt(t.g,Zv(t.a),t.c)),t.g=n.b,t.d=n.a}function ybt(t,e,i){e.b=n.Math.max(e.b,-i.a),e.c=n.Math.max(e.c,i.a-t.a),e.d=n.Math.max(e.d,-i.b),e.a=n.Math.max(e.a,i.b-t.b)}function mbt(t,e){return t.e<e.e?-1:t.e>e.e?1:t.f<e.f?-1:t.f>e.f?1:eut(t)-eut(e)}function vbt(t,e){return xK(t),null!=e&&(!!mR(t,e)||t.length==e.length&&mR(t.toLowerCase(),e.toLowerCase()))}function xbt(t,e){var n,i,r,a;for(i=0,r=e.gc();i<r;++i)aO(n=e.il(i),99)&&0!=(zz(n,18).Bb&h6t)&&null!=(a=e.jl(i))&&n$t(t,zz(a,56))}function kbt(t,e,n){var i,r,a;for(a=new Kd(n.a);a.a<a.c.c.length;)r=zz(t0(a),221),i=new AD(zz(FG(t.a,r.b),65)),Kz(e.a,i),kbt(t,i,r)}function _bt(t){var e,n;return Xlt(t,-129)>0&&Xlt(t,128)<0?(e=pZ(t)+128,!(n=(_H(),Oee)[e])&&(n=Oee[e]=new Bd(t)),n):new Bd(t)}function Ebt(t,e){var n,i;return(n=e.Hh(t.a))&&null!=(i=CB(opt((!n.b&&(n.b=new QP((wKt(),xDe),GDe,n)),n.b),n7t)))?i:e.ne()}function Tbt(t,e){var n,i;return(n=e.Hh(t.a))&&null!=(i=CB(opt((!n.b&&(n.b=new QP((wKt(),xDe),GDe,n)),n.b),n7t)))?i:e.ne()}function Cbt(t,e){var n,i;for(HJ(),i=new cU(JO(hdt(t).a.Kc(),new l));bLt(i);)if((n=zz(Y5(i),17)).d.i==e||n.c.i==e)return n;return null}function Sbt(t,e,n){this.c=t,this.f=new Nw,this.e=new Zk,this.j=new CH,this.n=new CH,this.b=e,this.g=new YW(e.c,e.d,e.b,e.a),this.a=n}function Abt(t){var e,n,i,r;for(this.a=new hL,this.d=new Fy,this.e=0,i=0,r=(n=t).length;i<r;++i)e=n[i],!this.f&&(this.f=e),b2(this,e)}function Mbt(t){LBt(),0==t.length?(this.e=0,this.d=1,this.a=Ast(Zx(LNe,1),hXt,25,15,[0])):(this.e=1,this.d=t.length,this.a=t,G0(this))}function Ibt(t,e,n){um.call(this),this.a=P7(Gie,aQt,212,(Fet(),Ast(Zx(Wie,1),OWt,232,0,[Zie,Uie,Yie])).length,0,1),this.b=t,this.d=e,this.c=n}function Lbt(t){this.d=new Nw,this.e=new y4,this.c=P7(LNe,hXt,25,(kYt(),Ast(Zx(jMe,1),QJt,61,0,[SMe,uMe,cMe,CMe,AMe])).length,15,1),this.b=t}function Dbt(t){var e,n,i,r;for(hct(r=zz(vTt(t,(hKt(),pfe)),11),Ofe,t.i.n.b),n=0,i=(e=J0(t.e)).length;n<i;++n)TJ(e[n],r)}function Obt(t){var e,n,i,r;for(hct(e=zz(vTt(t,(hKt(),pfe)),11),Ofe,t.i.n.b),i=0,r=(n=J0(t.g)).length;i<r;++i)CJ(n[i],e)}function Nbt(t){var e,n;return!!OP(t.d.i,(HGt(),Kbe))&&(e=zz(vTt(t.c.i,Kbe),19),n=zz(vTt(t.d.i,Kbe),19),_D(e.a,n.a)>0)}function Pbt(t){var e;ZM(tDt(t,(lKt(),_Ce)))===ZM((cht(),yAe))&&(QQ(t)?(e=zz(tDt(QQ(t),_Ce),334),Qwt(t,_Ce,e)):Qwt(t,_Ce,mAe))}function Bbt(t,e,n){var i,r;fTt(t.e,e,n,(kYt(),AMe)),fTt(t.i,e,n,cMe),t.a&&(r=zz(vTt(e,(hKt(),pfe)),11),i=zz(vTt(n,pfe),11),x0(t.g,r,i))}function Fbt(t,e,n){var i,r,a;i=e.c.p,a=e.p,t.b[i][a]=new BV(t,e),n&&(t.a[i][a]=new zp(e),(r=zz(vTt(e,(hKt(),rfe)),10))&&JMt(t.d,r,e))}function Rbt(t,e){var n,i,r;if(Kz(Cae,t),e.Fc(t),n=zz(FG(Tae,t),21))for(r=n.Kc();r.Ob();)i=zz(r.Pb(),33),-1!=_9(Cae,i,0)||Rbt(i,e)}function $bt(t,e,n){var i;(Kne?(wgt(t),1):Wne||Qne?(fT(),1):Vne&&(fT(),0))&&((i=new i$(e)).b=n,sCt(t,i))}function jbt(t,e){var n;n=!t.A.Hc((vpt(),$Me))||t.q==(V_t(),GAe),t.u.Hc((dMt(),nMe))?n?PYt(t,e):sYt(t,e):t.u.Hc(rMe)&&(n?DUt(t,e):JYt(t,e))}function zbt(t,e){var n,i;++t.j,null!=e&&uIt(e,n=aO(i=t.a.Cb,97)?zz(i,97).Jg():null)?hbt(t.a,4,n):hbt(t.a,4,zz(e,126))}function qbt(t,e,i){return new YW(n.Math.min(t.a,e.a)-i/2,n.Math.min(t.b,e.b)-i/2,n.Math.abs(t.a-e.a)+i,n.Math.abs(t.b-e.b)+i)}function Hbt(t,e){var n,i;return 0!=(n=_D(t.a.c.p,e.a.c.p))?n:0!=(i=_D(t.a.d.i.p,e.a.d.i.p))?i:_D(e.a.d.p,t.a.d.p)}function Zbt(t,e,n){var i,r,a,o;return(a=e.j)!=(o=n.j)?a.g-o.g:(i=t.f[e.p],r=t.f[n.p],0==i&&0==r?0:0==i?-1:0==r?1:Aft(i,r))}function Ubt(t,e,n){var i;if(!n[e.d])for(n[e.d]=!0,i=new Kd(kdt(e));i.a<i.c.c.length;)Ubt(t,Pdt(zz(t0(i),213),e),n)}function Ybt(t,e,n){var i;switch(i=n[t.g][e],t.g){case 1:case 3:return new PA(0,i);case 2:case 4:return new PA(i,0);default:return null}}function Gbt(t,e,n){var i;i=zz(uQ(e.f),209);try{i.Ze(t,n),CK(e.f,i)}catch(t){throw aO(t=dst(t),102),qw(t)}}function Kbt(t,e,n){var i,r,a,o;return i=null,(a=yZt(oit(),e))&&(r=null,null!=(o=tZt(a,n))&&(r=t.Ye(a,o)),i=r),i}function Wbt(t,e,n,i){var r;return r=new N9(t.e,1,13,e.c||(wKt(),fDe),n.c||(wKt(),fDe),cyt(t,e),!1),i?i.Ei(r):i=r,i}function Xbt(t,e,n,i){var r;if(e>=(r=t.length))return r;for(e=e>0?e:0;e<r&&!nct((d1(e,t.length),t.charCodeAt(e)),n,i);e++);return e}function Vbt(t,e){var n,i;for(i=t.c.length,e.length<i&&(e=Hx(new Array(i),e)),n=0;n<i;++n)DG(e,n,t.c[n]);return e.length>i&&DG(e,i,null),e}function Qbt(t,e){var n,i;for(i=t.a.length,e.length<i&&(e=Hx(new Array(i),e)),n=0;n<i;++n)DG(e,n,t.a[n]);return e.length>i&&DG(e,i,null),e}function Jbt(t,e,n){var i,r,a;return(r=zz(FG(t.e,e),387))?(a=wF(r,n),sO(t,r),a):(i=new tq(t,e,n),WK(t.e,e,i),xQ(i),null)}function twt(t){var e;if(null==t)return null;if(null==(e=NDt(zzt(t,!0))))throw qw(new ix("Invalid hexBinary value: '"+t+"'"));return e}function ewt(t){return LBt(),Xlt(t,0)<0?0!=Xlt(t,-1)?new m_t(-1,k9(t)):Qee:Xlt(t,10)<=0?tne[pZ(t)]:new m_t(1,t)}function nwt(){return bKt(),Ast(Zx(Rre,1),OWt,159,0,[Sre,Cre,Are,yre,wre,mre,kre,xre,vre,Tre,Ere,_re,pre,gre,bre,fre,hre,dre,ure,cre,lre,Mre])}function iwt(t){var e;this.d=new Nw,this.j=new Zk,this.g=new Zk,e=t.g.b,this.f=zz(vTt(yK(e),(HGt(),Ype)),103),this.e=Zv(TB(wwt(e,Cwe)))}function rwt(t){this.b=new Nw,this.e=new Nw,this.d=t,this.a=!k_(LW(new FH(null,new UY(new m6(t.b))),new og(new Zr))).sd((pT(),eie))}function awt(){awt=I,lTe=new LA("PARENTS",0),uTe=new LA("NODES",1),sTe=new LA("EDGES",2),hTe=new LA("PORTS",3),cTe=new LA("LABELS",4)}function owt(){owt=I,zAe=new UA("DISTRIBUTED",0),HAe=new UA("JUSTIFIED",1),$Ae=new UA("BEGIN",2),jAe=new UA(iQt,3),qAe=new UA("END",4)}function swt(t){switch(t.yi(null)){case 10:return 0;case 15:return 1;case 14:return 2;case 11:return 3;case 21:return 4}return-1}function cwt(t){switch(t.g){case 1:return zht(),qSe;case 4:return zht(),$Se;case 2:return zht(),jSe;case 3:return zht(),RSe}return zht(),zSe}function uwt(t,e,n){var i;switch((i=n.q.getFullYear()-lXt+lXt)<0&&(i=-i),e){case 1:t.a+=i;break;case 2:_tt(t,i%100,2);break;default:_tt(t,i,e)}}function lwt(t,e){var n,i;if(OJ(e,t.b),e>=t.b>>1)for(i=t.c,n=t.b;n>e;--n)i=i.b;else for(i=t.a.a,n=0;n<e;++n)i=i.a;return new JR(t,e,i)}function hwt(){hwt=I,pie=new jC("NUM_OF_EXTERNAL_SIDES_THAN_NUM_OF_EXTENSIONS_LAST",0),gie=new jC("CORNER_CASES_THAN_SINGLE_SIDE_LAST",1)}function fwt(t){var e,n,i;for(mD(n=cAt(t),zse),(i=t.d).c=P7(Dte,HKt,1,0,5,1),e=new Kd(n);e.a<e.c.c.length;)wst(i,zz(t0(e),456).b)}function dwt(t){var e,n;for(!t.o&&(t.o=new v8((MGt(),TIe),rLe,t,0)),e=(n=t.o).c.Kc();e.e!=e.i.gc();)zz(e.nj(),42).dd();return L7(n)}function gwt(t){var e;OR(zz(vTt(t,(HGt(),nwe)),98))&&(fIt((f1(0,(e=t.b).c.length),zz(e.c[0],29))),fIt(zz(PH(e,e.c.length-1),29)))}function pwt(t,e){var i,r,a,o;for(i=0,a=new Kd(e.a);a.a<a.c.c.length;)o=(r=zz(t0(a),10)).o.a+r.d.c+r.d.b+t.j,i=n.Math.max(i,o);return i}function bwt(t){var e,n,i,r;for(r=0,n=0,i=t.length;n<i;n++)d1(n,t.length),(e=t.charCodeAt(n))>=64&&e<128&&(r=i0(r,vU(1,e-64)));return r}function wwt(t,e){var n,i;return i=null,OP(t,(lKt(),ASe))&&(n=zz(vTt(t,ASe),94)).Xe(e)&&(i=n.We(e)),null==i&&yK(t)&&(i=vTt(yK(t),e)),i}function ywt(t,e){var n,i,r;(i=(r=e.d.i).k)!=(cCt(),Ase)&&i!=Ese&&bLt(n=new cU(JO(ddt(r).a.Kc(),new l)))&&WK(t.k,e,zz(Y5(n),17))}function mwt(t,e){var n,i,r;return i=iet(t.Tg(),e),(n=e-t.Ah())<0?(r=t.Yg(i))>=0?t.lh(r):ZMt(t,i):n<0?ZMt(t,i):zz(i,66).Nj().Sj(t,t.yh(),n)}function vwt(t){var e;if(aO(t.a,4)){if(null==(e=Jpt(t.a)))throw qw(new jv(u5t+t.b+"'. "+a5t+(_B(dLe),dLe.k)+o5t));return e}return t.a}function xwt(t){var e;if(null==t)return null;if(null==(e=GYt(zzt(t,!0))))throw qw(new ix("Invalid base64Binary value: '"+t+"'"));return e}function kwt(t){var e;try{return e=t.i.Xb(t.e),t.mj(),t.g=t.e++,e}catch(e){throw aO(e=dst(e),73)?(t.mj(),qw(new vy)):qw(e)}}function _wt(t){var e;try{return e=t.c.ki(t.e),t.mj(),t.g=t.e++,e}catch(e){throw aO(e=dst(e),73)?(t.mj(),qw(new vy)):qw(e)}}function Ewt(){Ewt=I,lKt(),_ae=ESe,wae=vCe,fae=aCe,yae=GCe,jxt(),xae=Tie,vae=_ie,kae=Sie,mae=kie,Uut(),gae=cae,dae=sae,pae=lae,bae=hae}function Twt(t){switch(kT(),this.c=new Nw,this.d=t,t.g){case 0:case 2:this.a=XK(lse),this.b=RXt;break;case 3:case 1:this.a=lse,this.b=$Xt}}function Cwt(t,e,n){var i;if(t.c)Ant(t.c,t.c.i+e),Mnt(t.c,t.c.j+n);else for(i=new Kd(t.b);i.a<i.c.c.length;)Cwt(zz(t0(i),157),e,n)}function Swt(t,e){var n,i;if(t.j.length!=e.j.length)return!1;for(n=0,i=t.j.length;n<i;n++)if(!mR(t.j[n],e.j[n]))return!1;return!0}function Awt(t,e,n){var i;e.a.length>0&&(Kz(t.b,new Wz(e.a,n)),0<(i=e.a.length)?e.a=e.a.substr(0,0):0>i&&(e.a+=rO(P7(INe,WWt,25,-i,15,1))))}function Mwt(t,e){var n,i,r;for(n=t.o,r=zz(zz(l6(t.r,e),21),84).Kc();r.Ob();)(i=zz(r.Pb(),111)).e.a=bvt(i,n.a),i.e.b=n.b*Zv(TB(i.b.We(Ore)))}function Iwt(t,e){var n,i,r,a;return r=t.k,n=Zv(TB(vTt(t,(hKt(),Efe)))),a=e.k,i=Zv(TB(vTt(e,Efe))),a!=(cCt(),Tse)?-1:r!=Tse?1:n==i?0:n<i?-1:1}function Lwt(t,e){var n,i;return n=zz(zz(FG(t.g,e.a),46).a,65),i=zz(zz(FG(t.g,e.b),46).a,65),K7(e.a,e.b)-K7(e.a,$D(n.b))-K7(e.b,$D(i.b))}function Dwt(t,e){var n;return n=zz(vTt(t,(HGt(),ybe)),74),eO(e,yse)?n?vX(n):(n=new xm,hct(t,ybe,n)):n&&hct(t,ybe,null),n}function Owt(t){var e;return(e=new Ax).a+="n",t.k!=(cCt(),Ase)&&cI(cI((e.a+="(",e),pP(t.k).toLowerCase()),")"),cI((e.a+="_",e),wvt(t)),e.a}function Nwt(t,e){LEt(e,"Self-Loop post-processing",1),QE(LW(LW(gtt(new FH(null,new g1(t.b,16)),new Pi),new Bi),new Fi),new Ri),HCt(e)}function Pwt(t,e,n,i){var r;return n>=0?t.hh(e,n,i):(t.eh()&&(i=(r=t.Vg())>=0?t.Qg(i):t.eh().ih(t,-1-r,null,i)),t.Sg(e,n,i))}function Bwt(t,e){switch(e){case 7:return!t.e&&(t.e=new lR($Ie,t,7,4)),void lHt(t.e);case 8:return!t.d&&(t.d=new lR($Ie,t,8,5)),void lHt(t.d)}Fgt(t,e)}function Fwt(t,e){var n;n=t.Zc(e);try{return n.Pb()}catch(t){throw aO(t=dst(t),109)?qw(new Lv("Can't get element "+e)):qw(t)}}function Rwt(t,e){this.e=t,e<KXt?(this.d=1,this.a=Ast(Zx(LNe,1),hXt,25,15,[0|e])):(this.d=2,this.a=Ast(Zx(LNe,1),hXt,25,15,[e%KXt|0,e/KXt|0]))}function $wt(t,e){var n,i,r,a;for(CX(),n=t,a=e,aO(t,21)&&!aO(e,21)&&(n=e,a=t),r=n.Kc();r.Ob();)if(i=r.Pb(),a.Hc(i))return!1;return!0}function jwt(t,e,n){var i,r,a,o;return-1!=(i=t.Xc(e))&&(t.ej()?(a=t.fj(),o=Nvt(t,i),r=t.Zi(4,o,null,i,a),n?n.Ei(r):n=r):Nvt(t,i)),n}function zwt(t,e,n){var i,r,a,o;return-1!=(i=t.Xc(e))&&(t.ej()?(a=t.fj(),o=gH(t,i),r=t.Zi(4,o,null,i,a),n?n.Ei(r):n=r):gH(t,i)),n}function qwt(t,e){var n;switch(n=zz(cW(t.b,e),124).n,e.g){case 1:t.t>=0&&(n.d=t.t);break;case 3:t.t>=0&&(n.a=t.t)}t.C&&(n.b=t.C.b,n.c=t.C.c)}function Hwt(){Hwt=I,zre=new $C(vQt,0),jre=new $C(xQt,1),qre=new $C(kQt,2),Hre=new $C(_Qt,3),zre.a=!1,jre.a=!0,qre.a=!1,Hre.a=!0}function Zwt(){Zwt=I,Jre=new RC(vQt,0),Qre=new RC(xQt,1),tae=new RC(kQt,2),eae=new RC(_Qt,3),Jre.a=!1,Qre.a=!0,tae.a=!1,eae.a=!0}function Uwt(t){var e;e=t.a;do{(e=zz(Y5(new cU(JO(fdt(e).a.Kc(),new l))),17).c.i).k==(cCt(),Sse)&&t.b.Fc(e)}while(e.k==(cCt(),Sse));t.b=iot(t.b)}function Ywt(t){var e,n,i;for(i=t.c.a,t.p=(vG(i),new e$(i)),n=new Kd(i);n.a<n.c.c.length;)(e=zz(t0(n),10)).p=hAt(e).a;CX(),mD(t.p,new Ia)}function Gwt(t){var e,n,i;if(n=0,0==(i=pBt(t)).c.length)return 1;for(e=new Kd(i);e.a<e.c.c.length;)n+=Gwt(zz(t0(e),33));return n}function Kwt(t,e){var n,i,r;for(r=0,i=zz(zz(l6(t.r,e),21),84).Kc();i.Ob();)r+=(n=zz(i.Pb(),111)).d.b+n.b.rf().a+n.d.c,i.Ob()&&(r+=t.w);return r}function Wwt(t,e){var 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e,n;if(n=null,e=!1,aO(t,204)&&(e=!0,n=zz(t,204).a),e||aO(t,258)&&(e=!0,n=""+zz(t,258).a),e||aO(t,483)&&(e=!0,n=""+zz(t,483).a),!e)throw qw(new Ov(H6t));return n}function kSt(t,e){var n,i;if(t.f){for(;e.Ob();)if(aO(i=(n=zz(e.Pb(),72)).ak(),99)&&0!=(zz(i,18).Bb&h6t)&&(!t.e||i.Gj()!=NIe||0!=i.aj())&&null!=n.dd())return e.Ub(),!0;return!1}return e.Ob()}function _St(t,e){var n,i;if(t.f){for(;e.Sb();)if(aO(i=(n=zz(e.Ub(),72)).ak(),99)&&0!=(zz(i,18).Bb&h6t)&&(!t.e||i.Gj()!=NIe||0!=i.aj())&&null!=n.dd())return e.Pb(),!0;return!1}return e.Sb()}function ESt(t,e,n){var i,r,a,o,s,c;for(c=sPt(t.e.Tg(),e),i=0,s=t.i,r=zz(t.g,119),o=0;o<t.i;++o)if(a=r[o],c.rl(a.ak())){if(n==i)return o;++i,s=o+1}if(n==i)return s;throw qw(new Lv(i8t+n+u7t+i))}function TSt(t,e){var i,r,a;if(0==t.f.c.length)return null;for(a=new dL,i=new Kd(t.f);i.a<i.c.c.length;)r=zz(t0(i),70).o,a.b=n.Math.max(a.b,r.a),a.a+=r.b;return a.a+=(t.f.c.length-1)*e,a}function CSt(t,e,n){var i,r,a;for(r=new cU(JO(hdt(n).a.Kc(),new 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n,i,r,a;t.ej()?(n=t.Vi(),a=t.fj(),++t.j,t.Hi(n,t.oi(n,e)),i=t.Zi(3,null,e,n,a),t.bj()&&(r=t.cj(e,null))?(r.Ei(i),r.Fi()):t.$i(i)):(nK(t,e),t.bj()&&(r=t.cj(e,null))&&r.Fi())}function DIt(t,e){var n,i,r,a,o;for(o=sPt(t.e.Tg(),e),r=new bc,n=zz(t.g,119),a=t.i;--a>=0;)i=n[a],o.rl(i.ak())&&h8(r,i);!sGt(t,r)&&mL(t.e)&&Oy(t,e.$j()?OV(t,6,e,(CX(),lne),null,-1,!1):OV(t,e.Kj()?2:1,e,null,null,-1,!1))}function OIt(){var t,e;for(OIt=I,sne=P7(une,lWt,91,32,0,1),cne=P7(une,lWt,91,32,0,1),t=1,e=0;e<=18;e++)sne[e]=ewt(t),cne[e]=ewt(vU(t,e)),t=odt(t,5);for(;e<cne.length;e++)sne[e]=Ntt(sne[e-1],sne[1]),cne[e]=Ntt(cne[e-1],(LBt(),ene))}function NIt(t,e){var n,i,r,a;return t.a==(JTt(),ahe)||(r=e.a.c,n=e.a.c+e.a.b,!(e.j&&(a=(i=e.A).c.c.a-i.o.a/2,r-(i.n.a+i.o.a)>a)||e.q&&(a=(i=e.C).c.c.a-i.o.a/2,i.n.a-n>a)))}function PIt(t,e){LEt(e,"Partition preprocessing",1),QE(zz(S4(LW(gtt(LW(new FH(null,new g1(t.a,16)),new yi),new mi),new vi),m8(new q,new z,new it,Ast(Zx(tie,1),OWt,132,0,[(Zut(),Yne)]))),15).Oc(),new xi),HCt(e)}function BIt(t){var e,n,i,r,a,o;for(HJ(),n=new y4,i=new Kd(t.e.b);i.a<i.c.c.length;)for(a=new Kd(zz(t0(i),29).a);a.a<a.c.c.length;)r=zz(t0(a),10),(e=zz(ftt(n,o=t.g[r.p]),15))||Jbt(n,o,e=new Nw),e.Fc(r);return n}function FIt(t,e){var n,i,r,a,o;for(r=e.b.b,t.a=P7(Rte,eJt,15,r,0,1),t.b=P7(DNe,tQt,25,r,16,1),o=lwt(e.b,0);o.b!=o.d.c;)a=zz(d3(o),86),t.a[a.g]=new VE;for(i=lwt(e.a,0);i.b!=i.d.c;)n=zz(d3(i),188),t.a[n.b.g].Fc(n),t.a[n.c.g].Fc(n)}function RIt(t){var e;return 0!=(64&t.Db)?ADt(t):((e=new hN(ADt(t))).a+=" (startX: ",y_(e,t.j),e.a+=", startY: ",y_(e,t.k),e.a+=", endX: ",y_(e,t.b),e.a+=", endY: ",y_(e,t.c),e.a+=", identifier: ",aI(e,t.d),e.a+=")",e.a)}function $It(t){var e;return 0!=(64&t.Db)?kht(t):((e=new hN(kht(t))).a+=" (ordered: ",v_(e,0!=(256&t.Bb)),e.a+=", unique: ",v_(e,0!=(512&t.Bb)),e.a+=", lowerBound: ",m_(e,t.s),e.a+=", upperBound: ",m_(e,t.t),e.a+=")",e.a)}function jIt(t,e,n,i,r,a,o,s){var c;return 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n,i,r,a;if(e){for(a=!(r=aO(t.Cb,88)||aO(t.Cb,99))&&aO(t.Cb,322),n=new LO((!e.a&&(e.a=new oZ(e,WLe,e)),e.a));n.e!=n.i.gc();)if(i=djt(zz(kwt(n),87)),r?aO(i,88):a?aO(i,148):i)return i;return r?(wKt(),pDe):(wKt(),fDe)}return null}function _Ot(t,e){var n,i,r,a,o;for(LEt(e,"Constraints Postprocessor",1),a=0,r=new Kd(t.b);r.a<r.c.c.length;){for(o=0,i=new Kd(zz(t0(r),29).a);i.a<i.c.c.length;)(n=zz(t0(i),10)).k==(cCt(),Ase)&&(hct(n,(HGt(),kbe),rft(a)),hct(n,zpe,rft(o)),++o);++a}HCt(e)}function EOt(t,e,n,i){var r,a,o,s,c,u;for(GF(s=new PA(n,i),zz(vTt(e,(ZHt(),txe)),8)),u=lwt(e.b,0);u.b!=u.d.c;)YF((c=zz(d3(u),86)).e,s),Bq(t.b,c);for(o=lwt(e.a,0);o.b!=o.d.c;){for(r=lwt((a=zz(d3(o),188)).a,0);r.b!=r.d.c;)YF(zz(d3(r),8),s);Bq(t.a,a)}}function TOt(t,e,n){var i,r,a;if(!(a=zHt((ISt(),JDe),t.Tg(),e)))throw qw(new $v(a6t+e.ne()+o6t));if(JT(),!zz(a,66).Oj()&&!(a=J1(z9(JDe,a))))throw qw(new $v(a6t+e.ne()+o6t));r=zz((i=t.Yg(a))>=0?t._g(i,!0,!0):oIt(t,a,!0),153),zz(r,215).ml(e,n)}function COt(t,e){var 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e,n,i,r;if(null==t)return null;if(i=zzt(t,!0),r=B9t.length,mR(i.substr(i.length-r,r),B9t))if(4==(n=i.length)){if(d1(0,i.length),43==(e=i.charCodeAt(0)))return ZOe;if(45==e)return HOe}else if(3==n)return ZOe;return new By(i)}function LOt(t){var e,n,i;return 0!=((n=t.l)&n-1)||0!=((i=t.m)&i-1)||0!=((e=t.h)&e-1)||0==e&&0==i&&0==n?-1:0==e&&0==i&&0!=n?wit(n):0==e&&0!=i&&0==n?wit(i)+22:0!=e&&0==i&&0==n?wit(e)+44:-1}function DOt(t,e){var n,i,r,a;for(LEt(e,"Edge joining",1),n=Hv(EB(vTt(t,(HGt(),Bwe)))),i=new Kd(t.b);i.a<i.c.c.length;)for(a=new T2(zz(t0(i),29).a,0);a.b<a.d.gc();)SP(a.b<a.d.gc()),(r=zz(a.d.Xb(a.c=a.b++),10)).k==(cCt(),Sse)&&(aZt(r,n),hK(a));HCt(e)}function OOt(t,e,n){var i;if(l2(t.b),AY(t.b,(Adt(),q_e),(IT(),ZEe)),AY(t.b,H_e,e.g),AY(t.b,Z_e,e.a),t.a=OHt(t.b,e),LEt(n,"Compaction by shrinking a tree",t.a.c.length),e.i.c.length>1)for(i=new Kd(t.a);i.a<i.c.c.length;)zz(t0(i),51).pf(e,vat(n,1));HCt(n)}function NOt(t,e){var n,i,r,a,o;for(r=e.a&t.f,a=null,i=t.b[r];;i=i.b){if(i==e){a?a.b=e.b:t.b[r]=e.b;break}a=i}for(o=e.f&t.f,a=null,n=t.c[o];;n=n.d){if(n==e){a?a.d=e.d:t.c[o]=e.d;break}a=n}e.e?e.e.c=e.c:t.a=e.c,e.c?e.c.e=e.e:t.e=e.e,--t.i,++t.g}function POt(t){var e,i,r,a,o,s,c,u,l,h;for(i=t.o,e=t.p,s=FKt,a=jWt,c=FKt,o=jWt,l=0;l<i;++l)for(h=0;h<e;++h)mmt(t,l,h)&&(s=n.Math.min(s,l),a=n.Math.max(a,l),c=n.Math.min(c,h),o=n.Math.max(o,h));return u=a-s+1,r=o-c+1,new WW(rft(s),rft(c),rft(u),rft(r))}function BOt(t,e){var n,i,r,a;for(SP((a=new T2(t,0)).b<a.d.gc()),n=zz(a.d.Xb(a.c=a.b++),140);a.b<a.d.gc();)SP(a.b<a.d.gc()),r=new mq((i=zz(a.d.Xb(a.c=a.b++),140)).c,n.d,e),SP(a.b>0),a.a.Xb(a.c=--a.b),vF(a,r),SP(a.b<a.d.gc()),a.d.Xb(a.c=a.b++),r.a=!1,n=i}function FOt(t){var e,n,i,r,a;for(i=zz(vTt(t,(hKt(),Rhe)),11),a=new Kd(t.j);a.a<a.c.c.length;){for(n=new Kd((r=zz(t0(a),11)).g);n.a<n.c.c.length;)return TJ(zz(t0(n),17),i),r;for(e=new Kd(r.e);e.a<e.c.c.length;)return CJ(zz(t0(e),17),i),r}return null}function ROt(t,e,i){var r,a;Xlt(r=fot(i.q.getTime()),0)<0?(a=XWt-pZ(dpt(k9(r),XWt)))==XWt&&(a=0):a=pZ(dpt(r,XWt)),1==e?PG(t,48+(a=n.Math.min((a+50)/100|0,9))&VWt):2==e?_tt(t,a=n.Math.min((a+5)/10|0,99),2):(_tt(t,a,3),e>3&&_tt(t,0,e-3))}function $Ot(t){var e,n,i,r;return ZM(vTt(t,(HGt(),ube)))===ZM((cht(),wAe))?!t.e&&ZM(vTt(t,Fpe))!==ZM(($ot(),xhe)):(i=zz(vTt(t,Rpe),292),r=Hv(EB(vTt(t,qpe)))||ZM(vTt(t,Hpe))===ZM((Lit(),ule)),e=zz(vTt(t,Bpe),19).a,n=t.a.c.length,!r&&i!=($ot(),xhe)&&(0==e||e>n))}function jOt(t){var e,n;for(n=0;n<t.c.length&&!(uH((f1(n,t.c.length),zz(t.c[n],113)))>0);n++);if(n>0&&n<t.c.length-1)return n;for(e=0;e<t.c.length&&!(uH((f1(e,t.c.length),zz(t.c[e],113)))>0);e++);return e>0&&n<t.c.length-1?e:t.c.length/2|0}function zOt(t,e){var n,i;if(e!=t.Cb||t.Db>>16!=6&&e){if(mxt(t,e))throw qw(new $v(p6t+RIt(t)));i=null,t.Cb&&(i=(n=t.Db>>16)>=0?lxt(t,i):t.Cb.ih(t,-1-n,null,i)),e&&(i=Pwt(e,t,6,i)),(i=XB(t,e,i))&&i.Fi()}else 0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new tY(t,1,6,e,e))}function qOt(t,e){var n,i;if(e!=t.Cb||t.Db>>16!=9&&e){if(mxt(t,e))throw qw(new $v(p6t+GFt(t)));i=null,t.Cb&&(i=(n=t.Db>>16)>=0?fxt(t,i):t.Cb.ih(t,-1-n,null,i)),e&&(i=Pwt(e,t,9,i)),(i=VB(t,e,i))&&i.Fi()}else 0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new tY(t,1,9,e,e))}function HOt(t,e){var n,i;if(e!=t.Cb||t.Db>>16!=3&&e){if(mxt(t,e))throw qw(new $v(p6t+dqt(t)));i=null,t.Cb&&(i=(n=t.Db>>16)>=0?Cxt(t,i):t.Cb.ih(t,-1-n,null,i)),e&&(i=Pwt(e,t,12,i)),(i=WB(t,e,i))&&i.Fi()}else 0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new tY(t,1,3,e,e))}function ZOt(t){var e,n,i,r,a;if(i=Ixt(t),null==(a=t.j)&&i)return t.$j()?null:i.zj();if(aO(i,148)){if((n=i.Aj())&&(r=n.Nh())!=t.i){if((e=zz(i,148)).Ej())try{t.g=r.Kh(e,a)}catch(e){if(!aO(e=dst(e),78))throw qw(e);t.g=null}t.i=r}return t.g}return null}function UOt(t){var e;return Kz(e=new Nw,new PC(new PA(t.c,t.d),new PA(t.c+t.b,t.d))),Kz(e,new PC(new PA(t.c,t.d),new PA(t.c,t.d+t.a))),Kz(e,new PC(new PA(t.c+t.b,t.d+t.a),new PA(t.c+t.b,t.d))),Kz(e,new PC(new PA(t.c+t.b,t.d+t.a),new PA(t.c,t.d+t.a))),e}function YOt(t,e,n,i){var r,a,o;if(o=Dkt(e,n),i.c[i.c.length]=e,-1==t.j[o.p]||2==t.j[o.p]||t.a[e.p])return i;for(t.j[o.p]=-1,a=new cU(JO(hdt(o).a.Kc(),new l));bLt(a);)if(!d5(r=zz(Y5(a),17))&&(d5(r)||r.c.i.c!=r.d.i.c)&&r!=e)return YOt(t,r,o,i);return i}function GOt(t,e,n){var i,r;for(r=e.a.ec().Kc();r.Ob();)i=zz(r.Pb(),79),!zz(FG(t.b,i),266)&&(QQ(ATt(i))==QQ(LTt(i))?nBt(t,i,n):ATt(i)==QQ(LTt(i))?null==FG(t.c,i)&&null!=FG(t.b,LTt(i))&&aUt(t,i,n,!1):null==FG(t.d,i)&&null!=FG(t.b,ATt(i))&&aUt(t,i,n,!0))}function KOt(t,e){var n,i,r,a,o,s,c;for(r=t.Kc();r.Ob();)for(i=zz(r.Pb(),10),AJ(s=new MCt,i),ZAt(s,(kYt(),cMe)),hct(s,(hKt(),kfe),(lN(),!0)),o=e.Kc();o.Ob();)a=zz(o.Pb(),10),AJ(c=new MCt,a),ZAt(c,AMe),hct(c,kfe,!0),hct(n=new gV,kfe,!0),CJ(n,s),TJ(n,c)}function WOt(t,e,n,i){var r,a,o,s;r=Dpt(t,e,n),a=Dpt(t,n,e),o=zz(FG(t.c,e),112),s=zz(FG(t.c,n),112),r<a?new UJ((I6(),Tve),o,s,a-r):a<r?new UJ((I6(),Tve),s,o,r-a):(0!=r||e.i&&n.i&&i[e.i.c][n.i.c])&&(new UJ((I6(),Tve),o,s,0),new UJ(Tve,s,o,0))}function XOt(t,e){var n,i,r,a,o,s;for(r=0,o=new Kd(e.a);o.a<o.c.c.length;)for(r+=(a=zz(t0(o),10)).o.b+a.d.a+a.d.d+t.e,i=new cU(JO(fdt(a).a.Kc(),new l));bLt(i);)(n=zz(Y5(i),17)).c.i.k==(cCt(),Mse)&&(r+=(s=zz(vTt(n.c.i,(hKt(),pfe)),10)).o.b+s.d.a+s.d.d);return r}function VOt(t,e,n){var i,r,a,o,s,c,u;for(a=new Nw,Lzt(t,u=new VE,o=new VE,e),EUt(t,u,o,e,n),c=new Kd(t);c.a<c.c.c.length;)for(r=new Kd((s=zz(t0(c),112)).k);r.a<r.c.c.length;)i=zz(t0(r),129),(!e||i.c==(I6(),Eve))&&s.g>i.b.g&&(a.c[a.c.length]=i);return a}function QOt(){QOt=I,B_e=new kA("CANDIDATE_POSITION_LAST_PLACED_RIGHT",0),P_e=new kA("CANDIDATE_POSITION_LAST_PLACED_BELOW",1),R_e=new kA("CANDIDATE_POSITION_WHOLE_DRAWING_RIGHT",2),F_e=new kA("CANDIDATE_POSITION_WHOLE_DRAWING_BELOW",3),$_e=new kA("WHOLE_DRAWING",4)}function JOt(t,e){if(aO(e,239))return hft(t,zz(e,33));if(aO(e,186))return Fft(t,zz(e,118));if(aO(e,354))return eX(t,zz(e,137));if(aO(e,352))return Jjt(t,zz(e,79));if(e)return null;throw qw(new $v(Y6t+NTt(new Qv(Ast(Zx(Dte,1),HKt,1,5,[e])))))}function tNt(t){var e,n,i,r,a,o,s;for(a=new VE,r=new Kd(t.d.a);r.a<r.c.c.length;)0==(i=zz(t0(r),121)).b.a.c.length&&r5(a,i,a.c.b,a.c);if(a.b>1)for(e=LN((n=new Hy,++t.b,n),t.d),s=lwt(a,0);s.b!=s.d.c;)o=zz(d3(s),121),GNt(oT(aT(sT(rT(new qy,1),0),e),o))}function eNt(t,e){var n,i;if(e!=t.Cb||t.Db>>16!=11&&e){if(mxt(t,e))throw qw(new $v(p6t+YFt(t)));i=null,t.Cb&&(i=(n=t.Db>>16)>=0?Sxt(t,i):t.Cb.ih(t,-1-n,null,i)),e&&(i=Pwt(e,t,10,i)),(i=UF(t,e,i))&&i.Fi()}else 0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new tY(t,1,11,e,e))}function nNt(t){var e,n,i,r;for(i=new cut(new Sd(t.b).a);i.b;)r=zz((n=nnt(i)).cd(),11),hct(e=zz(n.dd(),10),(hKt(),pfe),r),hct(r,_fe,e),hct(r,nfe,(lN(),!0)),ZAt(r,zz(vTt(e,Xhe),61)),vTt(e,Xhe),hct(r.i,(HGt(),nwe),(V_t(),WAe)),zz(vTt(yK(r.i),Jhe),21).Fc((gBt(),phe))}function iNt(t,e,n){var i,r,a;if(i=0,r=0,t.c)for(a=new Kd(t.d.i.j);a.a<a.c.c.length;)i+=zz(t0(a),11).e.c.length;else i=1;if(t.d)for(a=new Kd(t.c.i.j);a.a<a.c.c.length;)r+=zz(t0(a),11).g.c.length;else r=1;return(n+e)/2+.4*AQ(qq(r-i))*(n-e)}function rNt(t){var e,n;if(N_t(),t.Hc((kYt(),SMe)))throw qw(new $v("Port sides must not contain UNDEFINED"));switch(t.gc()){case 1:return Tue;case 2:return e=t.Hc(cMe)&&t.Hc(AMe),n=t.Hc(uMe)&&t.Hc(CMe),e||n?Aue:Sue;case 3:return Cue;case 4:return Eue;default:return null}}function aNt(t,e,n){var i,r,a,o;for(LEt(n,"Breaking Point Removing",1),t.a=zz(vTt(e,(HGt(),Jpe)),218),r=new Kd(e.b);r.a<r.c.c.length;)for(o=new Kd(o0(zz(t0(r),29).a));o.a<o.c.c.length;)Qtt(a=zz(t0(o),10))&&!(i=zz(vTt(a,(hKt(),Fhe)),305)).d&&YYt(t,i);HCt(n)}function oNt(t,e,n){return _Bt(),(!Fat(t,e)||!Fat(t,n))&&(vUt(new PA(t.c,t.d),new PA(t.c+t.b,t.d),e,n)||vUt(new PA(t.c+t.b,t.d),new PA(t.c+t.b,t.d+t.a),e,n)||vUt(new PA(t.c+t.b,t.d+t.a),new PA(t.c,t.d+t.a),e,n)||vUt(new PA(t.c,t.d+t.a),new PA(t.c,t.d),e,n))}function sNt(t,e){var n,i,r,a;if(!t.dc())for(n=0,i=t.gc();n<i;++n)if(null==(a=CB(t.Xb(n)))?null==e:mR(a.substr(0,3),"!##")?null!=e&&(r=e.length,!mR(a.substr(a.length-r,r),e)||a.length!=e.length+3)&&!mR(S9t,e):mR(a,A9t)&&!mR(S9t,e)||mR(a,e))return!0;return!1}function cNt(t,e,n,i){var r,a,o,s,c,u;for(o=t.j.c.length,c=P7(ore,aQt,306,o,0,1),s=0;s<o;s++)(a=zz(PH(t.j,s),11)).p=s,c[s]=hIt(vLt(a),n,i);for(XNt(t,c,n,e,i),u=new Pw,r=0;r<c.length;r++)c[r]&&WK(u,zz(PH(t.j,r),11),c[r]);u.f.c+u.g.c!=0&&(hct(t,(hKt(),Uhe),u),DCt(t,c))}function uNt(t,e,n){var i,r;for(i=new Kd(t.a.b);i.a<i.c.c.length;)if((r=h2(zz(t0(i),57)))&&r.k==(cCt(),Tse))switch(zz(vTt(r,(hKt(),Xhe)),61).g){case 4:r.n.a=e.a;break;case 2:r.n.a=n.a-(r.o.a+r.d.c);break;case 1:r.n.b=e.b;break;case 3:r.n.b=n.b-(r.o.b+r.d.a)}}function lNt(){lNt=I,Mye=new qS(VJt,0),Eye=new qS("NIKOLOV",1),Sye=new qS("NIKOLOV_PIXEL",2),Tye=new qS("NIKOLOV_IMPROVED",3),Cye=new qS("NIKOLOV_IMPROVED_PIXEL",4),_ye=new qS("DUMMYNODE_PERCENTAGE",5),Aye=new 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null}while(n&&n.k!=(cCt(),Ase));return n}function UNt(t,e){var n,i,r,a,o,s,c,u,l;for(s=e.j,o=e.g,c=zz(PH(s,s.c.length-1),113),f1(0,s.c.length),u=tvt(t,o,c,l=zz(s.c[0],113)),a=1;a<s.c.length;a++)f1(a-1,s.c.length),n=zz(s.c[a-1],113),f1(a,s.c.length),(i=tvt(t,o,n,r=zz(s.c[a],113)))>u&&(c=n,l=r,u=i);e.a=l,e.c=c}function YNt(t,e){var n;if(!JY(t.b,e.b))throw qw(new jv("Invalid hitboxes for scanline constraint calculation."));(kst(e.b,zz(TF(t.b,e.b),57))||kst(e.b,zz(EF(t.b,e.b),57)))&&(DE(),e.b),t.a[e.b.f]=zz(xR(t.b,e.b),57),(n=zz(vR(t.b,e.b),57))&&(t.a[n.f]=e.b)}function GNt(t){if(!t.a.d||!t.a.e)throw qw(new jv((_B(qie),qie.k+" must have a source and target "+(_B(Hie),Hie.k+" specified."))));if(t.a.d==t.a.e)throw qw(new jv("Network simplex does not support self-loops: "+t.a+" "+t.a.d+" "+t.a.e));return FN(t.a.d.g,t.a),FN(t.a.e.b,t.a),t.a}function KNt(t,e,n){var i,r,a,o,s,c,u;for(u=new p_(new Qp(t)),s=0,c=(o=Ast(Zx(Zse,1),c1t,11,0,[e,n])).length;s<c;++s)for(a=o[s],Cct(u.a,a,(lN(),yee)),r=new 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n,i,r,a,o,s,c,u;for(s=zz(vTt(t,(hKt(),pfe)),11),c=Dct(Ast(Zx(STe,1),lWt,8,0,[s.i.n,s.n,s.a])).a,u=t.i.n.b,r=0,a=(i=J0(t.e)).length;r<a;++r)TJ(n=i[r],s),hI(n.a,new PA(c,u)),e&&((o=zz(vTt(n,(HGt(),ybe)),74))||(o=new xm,hct(n,ybe,o)),Bq(o,new PA(c,u)))}function uPt(t,e){var n,i,r,a,o,s,c,u;for(i=zz(vTt(t,(hKt(),pfe)),11),c=Dct(Ast(Zx(STe,1),lWt,8,0,[i.i.n,i.n,i.a])).a,u=t.i.n.b,o=0,s=(a=J0(t.g)).length;o<s;++o)CJ(r=a[o],i),lI(r.a,new PA(c,u)),e&&((n=zz(vTt(r,(HGt(),ybe)),74))||(n=new xm,hct(r,ybe,n)),Bq(n,new PA(c,u)))}function lPt(t,e){var n,i,r,a,o;for(t.b=new Nw,t.d=zz(vTt(e,(hKt(),Cfe)),230),t.e=a0(t.d),a=new VE,r=s6(Ast(Zx(kse,1),JJt,37,0,[e])),o=0;o<r.c.length;)f1(o,r.c.length),(i=zz(r.c[o],37)).p=o++,wst(r,(n=new MZt(i,t.a,t.b)).b),Kz(t.b,n),n.s&&tG(lwt(a,0),n);return t.c=new Fy,a}function hPt(t,e){var n,i,r,a,o,s;for(o=zz(zz(l6(t.r,e),21),84).Kc();o.Ob();)(n=(a=zz(o.Pb(),111)).c?Wq(a.c):0)>0?a.a?n>(s=a.b.rf().a)&&(r=(n-s)/2,a.d.b=r,a.d.c=r):a.d.c=t.s+n:qU(t.u)&&((i=jEt(a.b)).c<0&&(a.d.b=-i.c),i.c+i.b>a.b.rf().a&&(a.d.c=i.c+i.b-a.b.rf().a))}function fPt(t,e){var n,i;for(LEt(e,"Semi-Interactive Crossing Minimization Processor",1),n=!1,i=new Kd(t.b);i.a<i.c.c.length;)n|=null!=Oht(xet(LW(LW(new FH(null,new g1(zz(t0(i),29).a,16)),new Xi),new Vi),new Qi),new Ji).a;n&&hct(t,(hKt(),ofe),(lN(),!0)),HCt(e)}function dPt(t,e,n){var i,r,a;if(!(r=n)&&(r=new Gm),LEt(r,"Layout",t.a.c.length),Hv(EB(vTt(e,(MLt(),_xe)))))for(DE(),i=0;i<t.a.c.length;i++)i++,t_(nut(zz(PH(t.a,i),51)));for(a=new Kd(t.a);a.a<a.c.c.length;)zz(t0(a),51).pf(e,vat(r,1));HCt(r)}function gPt(t){var e,i;if(e=zz(t.a,19).a,i=zz(t.b,19).a,e>=0){if(e==i)return new rM(rft(-e-1),rft(-e-1));if(e==-i)return new rM(rft(-e),rft(i+1))}return n.Math.abs(e)>n.Math.abs(i)?new rM(rft(-e),rft(e<0?i:i+1)):new rM(rft(e+1),rft(i))}function pPt(t){var e,n;n=zz(vTt(t,(HGt(),xbe)),163),e=zz(vTt(t,(hKt(),ife)),303),n==(Tdt(),jfe)?(hct(t,xbe,Hfe),hct(t,ife,(U9(),Ahe))):n==qfe?(hct(t,xbe,Hfe),hct(t,ife,(U9(),Che))):e==(U9(),Ahe)?(hct(t,xbe,jfe),hct(t,ife,She)):e==Che&&(hct(t,xbe,qfe),hct(t,ife,She))}function bPt(){bPt=I,kve=new co,yve=pH(new z2,(xTt(),$oe),(dKt(),kce)),xve=KZ(pH(new z2,$oe,Bce),zoe,Pce),_ve=ubt(ubt(jT(KZ(pH(new z2,Foe,Yce),zoe,Uce),joe),Zce),Gce),mve=KZ(pH(pH(pH(new z2,Roe,Tce),joe,Sce),joe,Ace),zoe,Cce),vve=KZ(pH(pH(new z2,joe,Ace),joe,sce),zoe,oce)}function wPt(){wPt=I,Ave=pH(KZ(new z2,(xTt(),zoe),(dKt(),lce)),$oe,kce),Dve=ubt(ubt(jT(KZ(pH(new z2,Foe,Yce),zoe,Uce),joe),Zce),Gce),Mve=KZ(pH(pH(pH(new z2,Roe,Tce),joe,Sce),joe,Ace),zoe,Cce),Lve=pH(pH(new z2,$oe,Bce),zoe,Pce),Ive=KZ(pH(pH(new z2,joe,Ace),joe,sce),zoe,oce)}function yPt(t,e,n,i,r){var a,o;(d5(e)||e.c.i.c!=e.d.i.c)&&ert(Dct(Ast(Zx(STe,1),lWt,8,0,[r.i.n,r.n,r.a])),n)||d5(e)||(e.c==r?RP(e.a,0,new gL(n)):Bq(e.a,new gL(n)),i&&!jE(t.a,n)&&((o=zz(vTt(e,(HGt(),ybe)),74))||(o=new xm,hct(e,ybe,o)),r5(o,a=new gL(n),o.c.b,o.c),EY(t.a,a)))}function mPt(t){var e;for(e=new cU(JO(fdt(t).a.Kc(),new l));bLt(e);)if(zz(Y5(e),17).c.i.k!=(cCt(),Cse))throw qw(new rx(A1t+wvt(t)+"' has its layer constraint set to FIRST, but has at least one incoming edge that  does not come from a FIRST_SEPARATE node. That must not happen."))}function vPt(t,e,n){var i,r,a,o,s,c;if(0==(r=ydt(254&t.Db)))t.Eb=n;else{if(1==r)o=P7(Dte,HKt,1,2,5,1),0==Rmt(t,e)?(o[0]=n,o[1]=t.Eb):(o[0]=t.Eb,o[1]=n);else for(o=P7(Dte,HKt,1,r+1,5,1),a=int(t.Eb),i=2,s=0,c=0;i<=128;i<<=1)i==e?o[c++]=n:0!=(t.Db&i)&&(o[c++]=a[s++]);t.Eb=o}t.Db|=e}function xPt(t,e,i){var r,a,o,s;for(this.b=new Nw,a=0,r=0,s=new Kd(t);s.a<s.c.c.length;)o=zz(t0(s),167),i&&$zt(o),Kz(this.b,o),a+=o.o,r+=o.p;this.b.c.length>0&&(a+=(o=zz(PH(this.b,0),167)).o,r+=o.p),a*=2,r*=2,e>1?a=AQ(n.Math.ceil(a*e)):r=AQ(n.Math.ceil(r/e)),this.a=new Zgt(a,r)}function kPt(t,e,i,r,a,o){var s,c,u,l,h,f,d,g,p,b;for(l=r,e.j&&e.o?(p=(d=zz(FG(t.f,e.A),57)).d.c+d.d.b,--l):p=e.a.c+e.a.b,h=a,i.q&&i.o?(u=(d=zz(FG(t.f,i.C),57)).d.c,++h):u=i.a.c,g=p+(c=(u-p)/n.Math.max(2,h-l)),f=l;f<h;++f)b=(s=zz(o.Xb(f),128)).a.b,s.a.c=g-b/2,g+=c}function _Pt(t,e,n,i,r,a){var o,s,c,u,l,h;for(u=n.c.length,a&&(t.c=P7(LNe,hXt,25,e.length,15,1)),o=r?0:e.length-1;r?o<e.length:o>=0;o+=r?1:-1){for(s=e[o],c=i==(kYt(),cMe)?r?sdt(s,i):iot(sdt(s,i)):r?iot(sdt(s,i)):sdt(s,i),a&&(t.c[s.p]=c.gc()),h=c.Kc();h.Ob();)l=zz(h.Pb(),11),t.d[l.p]=u++;wst(n,c)}}function EPt(t,e,n){var i,r,a,o,s,c,u,l;for(a=Zv(TB(t.b.Kc().Pb())),u=Zv(TB(Wot(e.b))),i=xO(zD(t.a),u-n),r=xO(zD(e.a),n-a),xO(l=YF(i,r),1/(u-a)),this.a=l,this.b=new Nw,s=!0,(o=t.b.Kc()).Pb();o.Ob();)c=Zv(TB(o.Pb())),s&&c-n>F3t&&(this.b.Fc(n),s=!1),this.b.Fc(c);s&&this.b.Fc(n)}function TPt(t){var e,n,i,r;if(hRt(t,t.n),t.d.c.length>0){for(tx(t.c);yLt(t,zz(t0(new Kd(t.e.a)),121))<t.e.a.c.length;){for(r=(e=Rvt(t)).e.e-e.d.e-e.a,e.e.j&&(r=-r),i=new Kd(t.e.a);i.a<i.c.c.length;)(n=zz(t0(i),121)).j&&(n.e+=r);tx(t.c)}tx(t.c),yMt(t,zz(t0(new Kd(t.e.a)),121)),wZt(t)}}function CPt(t,e){var n,i,r,a,o;for(r=zz(l6(t.a,(N_t(),Tue)),15).Kc();r.Ob();)switch(i=zz(r.Pb(),101),n=zz(PH(i.j,0),113).d.j,mD(a=new e$(i.j),new Qr),e.g){case 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n,i,r,a,o,s,c,u,l,h;if(o=zz(zz(l6(t.r,e),21),84),s=t.u.Hc((dMt(),rMe)),n=t.u.Hc(eMe),i=t.u.Hc(tMe),u=t.u.Hc(aMe),h=t.B.Hc((e$t(),XMe)),l=!n&&!i&&(u||2==o.gc()),hPt(t,e),r=null,c=null,s){for(c=r=zz((a=o.Kc()).Pb(),111);a.Ob();)c=zz(a.Pb(),111);r.d.b=0,c.d.c=0,l&&!r.a&&(r.d.c=0)}h&&(FEt(o),s&&(r.d.b=0,c.d.c=0))}function kFt(t,e){var n,i,r,a,o,s,c,u,l,h;if(o=zz(zz(l6(t.r,e),21),84),s=t.u.Hc((dMt(),rMe)),n=t.u.Hc(eMe),i=t.u.Hc(tMe),c=t.u.Hc(aMe),h=t.B.Hc((e$t(),XMe)),u=!n&&!i&&(c||2==o.gc()),X$t(t,e),l=null,r=null,s){for(r=l=zz((a=o.Kc()).Pb(),111);a.Ob();)r=zz(a.Pb(),111);l.d.d=0,r.d.a=0,u&&!l.a&&(l.d.a=0)}h&&(REt(o),s&&(l.d.d=0,r.d.a=0))}function _Ft(t,e,n){var i,r,a,o,s;if(i=e.k,e.p>=0)return!1;if(e.p=n.b,Kz(n.e,e),i==(cCt(),Sse)||i==Mse)for(r=new Kd(e.j);r.a<r.c.c.length;)for(s=new Ug(new Kd(new Zg(zz(t0(r),11)).a.g));vD(s.a);)if(o=(a=zz(t0(s.a),17).d.i).k,e.c!=a.c&&(o==Sse||o==Mse)&&_Ft(t,a,n))return!0;return!0}function EFt(t){var e;return 0!=(64&t.Db)?$It(t):((e=new hN($It(t))).a+=" 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n,i,r,a,o,s,c;for(a=0,s=0,c=0,r=new Kd(t.f.e);r.a<r.c.c.length;)e!=(i=zz(t0(r),144))&&(a+=o=t.i[e.b][i.b],(n=K7(e.d,i.d))>0&&t.d!=(H9(),Loe)&&(s+=o*(i.d.a+t.a[e.b][i.b]*(e.d.a-i.d.a)/n)),n>0&&t.d!=(H9(),Moe)&&(c+=o*(i.d.b+t.a[e.b][i.b]*(e.d.b-i.d.b)/n)));switch(t.d.g){case 1:return new PA(s/a,e.d.b);case 2:return new PA(e.d.a,c/a);default:return new PA(s/a,c/a)}}function ejt(t,e){var n,i,r,a;if(Yut(),a=zz(vTt(t.i,(HGt(),nwe)),98),0!=t.j.g-e.j.g||a!=(V_t(),YAe)&&a!=KAe&&a!=GAe)return 0;if(a==(V_t(),YAe)&&(n=zz(vTt(t,iwe),19),i=zz(vTt(e,iwe),19),n&&i&&0!=(r=n.a-i.a)))return r;switch(t.j.g){case 1:return Aft(t.n.a,e.n.a);case 2:return Aft(t.n.b,e.n.b);case 3:return Aft(e.n.a,t.n.a);case 4:return Aft(e.n.b,t.n.b);default:throw qw(new jv(a1t))}}function njt(t){var e,n,i,r,a;for(Kz(a=new Q6((!t.a&&(t.a=new DO(PIe,t,5)),t.a).i+2),new PA(t.j,t.k)),QE(new FH(null,(!t.a&&(t.a=new DO(PIe,t,5)),new g1(t.a,16))),new Mb(a)),Kz(a,new 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e;if(1!=(!t.a&&(t.a=new nY(jIe,t,6,6)),t.a).i)throw qw(new $v(q5t+(!t.a&&(t.a=new nY(jIe,t,6,6)),t.a).i));return e=new xm,gst(zz(Wet((!t.b&&(t.b=new lR(RIe,t,4,7)),t.b),0),82))&&zrt(e,YGt(t,gst(zz(Wet((!t.b&&(t.b=new lR(RIe,t,4,7)),t.b),0),82)),!1)),gst(zz(Wet((!t.c&&(t.c=new lR(RIe,t,5,8)),t.c),0),82))&&zrt(e,YGt(t,gst(zz(Wet((!t.c&&(t.c=new lR(RIe,t,5,8)),t.c),0),82)),!0)),e}function ojt(t,e){var n,i,r;for(r=!1,i=new cU(JO((e.d?t.a.c==(bQ(),eve)?fdt(e.b):ddt(e.b):t.a.c==(bQ(),tve)?fdt(e.b):ddt(e.b)).a.Kc(),new l));bLt(i);)if(n=zz(Y5(i),17),(Hv(t.a.f[t.a.g[e.b.p].p])||d5(n)||n.c.i.c!=n.d.i.c)&&!Hv(t.a.n[t.a.g[e.b.p].p])&&!Hv(t.a.n[t.a.g[e.b.p].p])&&(r=!0,jE(t.b,t.a.g[Nmt(n,e.b).p])))return e.c=!0,e.a=n,e;return e.c=r,e.a=null,e}function sjt(t,e,n,i,r){var a,o,s,c,u,l,h;for(CX(),mD(t,new Ks),s=new T2(t,0),h=new Nw,a=0;s.b<s.d.gc();)SP(s.b<s.d.gc()),o=zz(s.d.Xb(s.c=s.b++),157),0!=h.c.length&&iZ(o)*nZ(o)>2*a?(l=new Uet(h),u=iZ(o)/nZ(o),c=xGt(l,e,new dm,n,i,r,u),YF(xI(l.e),c),h.c=P7(Dte,HKt,1,0,5,1),a=0,h.c[h.c.length]=l,h.c[h.c.length]=o,a=iZ(l)*nZ(l)+iZ(o)*nZ(o)):(h.c[h.c.length]=o,a+=iZ(o)*nZ(o));return h}function cjt(t,e,n){var i,r,a,o,s,c,u;if(0==(i=n.gc()))return!1;if(t.ej())if(c=t.fj(),kgt(t,e,n),o=1==i?t.Zi(3,null,n.Kc().Pb(),e,c):t.Zi(5,null,n,e,c),t.bj()){for(s=i<100?null:new jk(i),a=e+i,r=e;r<a;++r)u=t.Oi(r),s=t.cj(u,s);s?(s.Ei(o),s.Fi()):t.$i(o)}else t.$i(o);else if(kgt(t,e,n),t.bj()){for(s=i<100?null:new jk(i),a=e+i,r=e;r<a;++r)s=t.cj(t.Oi(r),s);s&&s.Fi()}return!0}function ujt(t,e,n){var i,r,a,o;return t.ej()?(r=null,a=t.fj(),i=t.Zi(1,o=t.Ui(e,t.oi(e,n)),n,e,a),t.bj()&&!(t.ni()&&o?Pht(o,n):ZM(o)===ZM(n))?(o&&(r=t.dj(o,r)),(r=t.cj(n,r))?(r.Ei(i),r.Fi()):t.$i(i)):r?(r.Ei(i),r.Fi()):t.$i(i),o):(o=t.Ui(e,t.oi(e,n)),t.bj()&&!(t.ni()&&o?Pht(o,n):ZM(o)===ZM(n))&&(r=null,o&&(r=t.dj(o,null)),(r=t.cj(n,r))&&r.Fi()),o)}function ljt(t,e){var i,r,a,o,s,c,u,l;if(t.e=e,t.f=zz(vTt(e,(Crt(),loe)),230),KEt(e),t.d=n.Math.max(16*e.e.c.length+e.c.c.length,256),!Hv(EB(vTt(e,(fFt(),qae)))))for(l=t.e.e.c.length,c=new Kd(e.e);c.a<c.c.c.length;)(u=zz(t0(c),144).d).a=IZ(t.f)*l,u.b=IZ(t.f)*l;for(i=e.b,o=new Kd(e.c);o.a<o.c.c.length;)if(a=zz(t0(o),282),(r=zz(vTt(a,noe),19).a)>0){for(s=0;s<r;s++)Kz(i,new lG(a));qAt(a)}}function hjt(t,e){var i,r,a,o,s;if(t.k==(cCt(),Cse)&&(i=k_(LW(zz(vTt(t,(hKt(),Sfe)),15).Oc(),new og(new ri))).sd((pT(),eie))?e:(Kvt(),EAe),hct(t,sfe,i),i!=(Kvt(),_Ae)))for(r=zz(vTt(t,pfe),17),s=Zv(TB(vTt(r,(HGt(),obe)))),o=0,i==kAe?o=t.o.b-n.Math.ceil(s/2):i==EAe&&(t.o.b-=Zv(TB(vTt(yK(t),kwe))),o=(t.o.b-n.Math.ceil(s))/2),a=new Kd(t.j);a.a<a.c.c.length;)zz(t0(a),11).n.b=o}function fjt(){fjt=I,QT(),ENe=new Fl,Ast(Zx(LDe,2),lWt,368,0,[Ast(Zx(LDe,1),_te,592,0,[new Y_(Y9t)])]),Ast(Zx(LDe,2),lWt,368,0,[Ast(Zx(LDe,1),_te,592,0,[new Y_(G9t)])]),Ast(Zx(LDe,2),lWt,368,0,[Ast(Zx(LDe,1),_te,592,0,[new Y_(K9t)]),Ast(Zx(LDe,1),_te,592,0,[new Y_(G9t)])]),new DL("-1"),Ast(Zx(LDe,2),lWt,368,0,[Ast(Zx(LDe,1),_te,592,0,[new Y_("\\c+")])]),new DL("0"),new DL("0"),new DL("1"),new DL("0"),new DL(rte)}function djt(t){var e,n;return t.c&&t.c.kh()&&(n=zz(t.c,49),t.c=zz(nht(t,n),138),t.c!=n&&(0!=(4&t.Db)&&0==(1&t.Db)&&got(t,new tY(t,9,2,n,t.c)),aO(t.Cb,399)?t.Db>>16==-15&&t.Cb.nh()&&D9(new x8(t.Cb,9,13,n,t.c,cyt(q9(zz(t.Cb,59)),t))):aO(t.Cb,88)&&t.Db>>16==-23&&t.Cb.nh()&&(aO(e=t.c,88)||(wKt(),e=pDe),aO(n,88)||(wKt(),n=pDe),D9(new x8(t.Cb,9,10,n,e,cyt(o4(zz(t.Cb,26)),t)))))),t.c}function gjt(t,e){var n,i,r,a,o,s,c,u;for(LEt(e,"Hypernodes processing",1),i=new Kd(t.b);i.a<i.c.c.length;)for(o=new Kd(zz(t0(i),29).a);o.a<o.c.c.length;)if(Hv(EB(vTt(a=zz(t0(o),10),(HGt(),dbe))))&&a.j.c.length<=2){for(u=0,c=0,n=0,r=0,s=new Kd(a.j);s.a<s.c.c.length;)switch(zz(t0(s),11).j.g){case 1:++u;break;case 2:++c;break;case 3:++n;break;case 4:++r}0==u&&0==n&&_Gt(t,a,r<=c)}HCt(e)}function pjt(t,e){var n,i,r,a,o,s,c,u,l;for(LEt(e,"Layer constraint edge reversal",1),o=new Kd(t.b);o.a<o.c.c.length;){for(a=zz(t0(o),29),l=-1,n=new Nw,u=t2(a.a),r=0;r<u.length;r++)i=zz(vTt(u[r],(hKt(),ife)),303),-1==l?i!=(U9(),Ahe)&&(l=r):i==(U9(),Ahe)&&(SJ(u[r],null),Vvt(u[r],l++,a)),i==(U9(),Che)&&Kz(n,u[r]);for(c=new Kd(n);c.a<c.c.c.length;)SJ(s=zz(t0(c),10),null),SJ(s,a)}HCt(e)}function bjt(t,e,n){var i,r,a,o,s,c,u,l;for(LEt(n,"Hyperedge merging",1),BLt(t,e),s=new T2(e.b,0);s.b<s.d.gc();)if(SP(s.b<s.d.gc()),0!=(u=zz(s.d.Xb(s.c=s.b++),29).a).c.length)for(i=null,r=null,a=null,o=null,c=0;c<u.c.length;c++)f1(c,u.c.length),(r=(i=zz(u.c[c],10)).k)==(cCt(),Sse)&&o==Sse&&(l=hqt(i,a)).a&&(aBt(i,a,l.b,l.c),f1(c,u.c.length),S_(u.c,c,1),--c,i=a,r=o),a=i,o=r;HCt(n)}function wjt(t,e){var n,i,r;i=0!=HDt(t.d,1),!Hv(EB(vTt(e.j,(hKt(),Qhe))))&&!Hv(EB(vTt(e.j,Mfe)))||ZM(vTt(e.j,(HGt(),Ope)))===ZM((vct(),Nye))?e.c.Tf(e.e,i):i=Hv(EB(vTt(e.j,Qhe))),FNt(t,e,i,!0),Hv(EB(vTt(e.j,Mfe)))&&hct(e.j,Mfe,(lN(),!1)),Hv(EB(vTt(e.j,Qhe)))&&(hct(e.j,Qhe,(lN(),!1)),hct(e.j,Mfe,!0)),n=iRt(t,e);do{if(Ort(t),0==n)return 0;r=n,FNt(t,e,i=!i,!1),n=iRt(t,e)}while(r>n);return r}function yjt(t,e){var n,i,r;i=0!=HDt(t.d,1),!Hv(EB(vTt(e.j,(hKt(),Qhe))))&&!Hv(EB(vTt(e.j,Mfe)))||ZM(vTt(e.j,(HGt(),Ope)))===ZM((vct(),Nye))?e.c.Tf(e.e,i):i=Hv(EB(vTt(e.j,Qhe))),FNt(t,e,i,!0),Hv(EB(vTt(e.j,Mfe)))&&hct(e.j,Mfe,(lN(),!1)),Hv(EB(vTt(e.j,Qhe)))&&(hct(e.j,Qhe,(lN(),!1)),hct(e.j,Mfe,!0)),n=eAt(t,e);do{if(Ort(t),0==n)return 0;r=n,FNt(t,e,i=!i,!1),n=eAt(t,e)}while(r>n);return r}function mjt(t,e,n){var i,r,a,o,s,c,u;if(e==n)return!0;if(e=gLt(t,e),n=gLt(t,n),i=Zyt(e)){if((c=Zyt(n))!=i)return!!c&&(o=i.Dj())==c.Dj()&&null!=o;if(!e.d&&(e.d=new DO(WLe,e,1)),r=(a=e.d).i,!n.d&&(n.d=new DO(WLe,n,1)),r==(u=n.d).i)for(s=0;s<r;++s)if(!mjt(t,zz(Wet(a,s),87),zz(Wet(u,s),87)))return!1;return!0}return e.e==n.e}function vjt(t,e,n,i){var r,a,o,s,c,u,l,h;if(OPt(t.e,e)){for(h=sPt(t.e.Tg(),e),a=zz(t.g,119),l=null,c=-1,s=-1,r=0,u=0;u<t.i;++u)o=a[u],h.rl(o.ak())&&(r==n&&(c=u),r==i&&(s=u,l=o.dd()),++r);if(-1==c)throw qw(new Lv(c7t+n+u7t+r));if(-1==s)throw qw(new Lv(l7t+i+u7t+r));return Ift(t,c,s),mL(t.e)&&Oy(t,OV(t,7,e,rft(i),l,n,!0)),l}throw qw(new $v("The feature must be many-valued to support move"))}function xjt(t,e,n,i){var r,a,o,s,c;switch((c=new gL(e.n)).a+=e.o.a/2,c.b+=e.o.b/2,s=Zv(TB(vTt(e,(HGt(),ewe)))),a=t.f,o=t.d,r=t.c,zz(vTt(e,(hKt(),Xhe)),61).g){case 1:c.a+=o.b+r.a-n/2,c.b=-i-s,e.n.b=-(o.d+s+r.b);break;case 2:c.a=a.a+o.b+o.c+s,c.b+=o.d+r.b-i/2,e.n.a=a.a+o.c+s-r.a;break;case 3:c.a+=o.b+r.a-n/2,c.b=a.b+o.d+o.a+s,e.n.b=a.b+o.a+s-r.b;break;case 4:c.a=-n-s,c.b+=o.d+r.b-i/2,e.n.a=-(o.b+s+r.a)}return c}function kjt(t){var e,n,i,r,a,o;return Zot(i=new vit,t),ZM(vTt(i,(HGt(),Ype)))===ZM((zht(),zSe))&&hct(i,Ype,Wft(i)),null==vTt(i,(A6(),ETe))&&(o=zz(OTt(t),160),hct(i,ETe,iI(o.We(ETe)))),hct(i,(hKt(),pfe),t),hct(i,Jhe,new VR(e=zz(Wk(Ehe),9),zz(CF(e,e.length),9),0)),r=AUt((QQ(t)&&(ZT(),new Bv(QQ(t))),ZT(),new QN(QQ(t)?new Bv(QQ(t)):null,t)),jSe),a=zz(vTt(i,Ube),116),nJ(n=i.d,a),nJ(n,r),i}function _jt(t,e,n){var i,r;i=e.c.i,r=n.d.i,i.k==(cCt(),Sse)?(hct(t,(hKt(),lfe),zz(vTt(i,lfe),11)),hct(t,hfe,zz(vTt(i,hfe),11)),hct(t,ufe,EB(vTt(i,ufe)))):i.k==Cse?(hct(t,(hKt(),lfe),zz(vTt(i,lfe),11)),hct(t,hfe,zz(vTt(i,hfe),11)),hct(t,ufe,(lN(),!0))):r.k==Cse?(hct(t,(hKt(),lfe),zz(vTt(r,lfe),11)),hct(t,hfe,zz(vTt(r,hfe),11)),hct(t,ufe,(lN(),!0))):(hct(t,(hKt(),lfe),e.c),hct(t,hfe,n.d))}function Ejt(t){var e,n,i,r,a,o,s;for(t.o=new Ow,i=new VE,o=new Kd(t.e.a);o.a<o.c.c.length;)1==kdt(a=zz(t0(o),121)).c.length&&r5(i,a,i.c.b,i.c);for(;0!=i.b;)0!=kdt(a=zz(0==i.b?null:(SP(0!=i.b),Det(i,i.a.a)),121)).c.length&&(e=zz(PH(kdt(a),0),213),n=a.g.a.c.length>0,s=Pdt(e,a),RN(n?s.b:s.g,e),1==kdt(s).c.length&&r5(i,s,i.c.b,i.c),r=new rM(a,e),p3(t.o,r),v9(t.e.a,a))}function Tjt(t,e){var i,r,a,o;return r=n.Math.abs(HU(t.b).a-HU(e.b).a),o=n.Math.abs(HU(t.b).b-HU(e.b).b),i=1,a=1,r>t.b.b/2+e.b.b/2&&(i=1-n.Math.min(n.Math.abs(t.b.c-(e.b.c+e.b.b)),n.Math.abs(t.b.c+t.b.b-e.b.c))/r),o>t.b.a/2+e.b.a/2&&(a=1-n.Math.min(n.Math.abs(t.b.d-(e.b.d+e.b.a)),n.Math.abs(t.b.d+t.b.a-e.b.d))/o),(1-n.Math.min(i,a))*n.Math.sqrt(r*r+o*o)}function Cjt(t){var e,n,i;for(eYt(t,t.e,t.f,(pQ(),Ove),!0,t.c,t.i),eYt(t,t.e,t.f,Ove,!1,t.c,t.i),eYt(t,t.e,t.f,Nve,!0,t.c,t.i),eYt(t,t.e,t.f,Nve,!1,t.c,t.i),Ijt(t,t.c,t.e,t.f,t.i),n=new T2(t.i,0);n.b<n.d.gc();)for(SP(n.b<n.d.gc()),e=zz(n.d.Xb(n.c=n.b++),128),i=new T2(t.i,n.b);i.b<i.d.gc();)SP(i.b<i.d.gc()),PHt(e,zz(i.d.Xb(i.c=i.b++),128));IGt(t.i,zz(vTt(t.d,(hKt(),Cfe)),230)),UZt(t.i)}function Sjt(t,e){var n,i;if(null!=e)if(i=rvt(t)){if(0==(1&i.i))return tC(),!(n=zz(FG(mLe,i),55))||n.wj(e);if(i==DNe)return UM(e);if(i==LNe)return aO(e,19);if(i==BNe)return aO(e,155);if(i==NNe)return aO(e,217);if(i==INe)return aO(e,172);if(i==PNe)return YM(e);if(i==FNe)return aO(e,184);if(i==ONe)return aO(e,162)}else if(aO(e,56))return t.uk(zz(e,56));return!1}function Ajt(){var t,e,n,i,r,a,o,s,c;for(Ajt=I,KOe=P7(NNe,m6t,25,255,15,1),WOe=P7(INe,WWt,25,64,15,1),e=0;e<255;e++)KOe[e]=-1;for(n=90;n>=65;n--)KOe[n]=n-65<<24>>24;for(i=122;i>=97;i--)KOe[i]=i-97+26<<24>>24;for(r=57;r>=48;r--)KOe[r]=r-48+52<<24>>24;for(KOe[43]=62,KOe[47]=63,a=0;a<=25;a++)WOe[a]=65+a&VWt;for(o=26,c=0;o<=51;++o,c++)WOe[o]=97+c&VWt;for(t=52,s=0;t<=61;++t,s++)WOe[t]=48+s&VWt;WOe[62]=43,WOe[63]=47}function Mjt(t,e){var i,r,a,o,s,c,u,l,h,f,d;if(t.dc())return new Zk;for(u=0,h=0,r=t.Kc();r.Ob();)a=zz(r.Pb(),37).f,u=n.Math.max(u,a.a),h+=a.a*a.b;for(u=n.Math.max(u,n.Math.sqrt(h)*Zv(TB(vTt(zz(t.Kc().Pb(),37),(HGt(),_pe))))),f=0,d=0,c=0,i=e,s=t.Kc();s.Ob();)f+(l=(o=zz(s.Pb(),37)).f).a>u&&(f=0,d+=c+e,c=0),tRt(o,f,d),i=n.Math.max(i,f+l.a),c=n.Math.max(c,l.b),f+=l.a+e;return new PA(i+e,d+c+e)}function Ijt(t,e,n,i,r){var a,o,s,c,u,l,h;for(o=new Kd(e);o.a<o.c.c.length;){if(c=(a=zz(t0(o),17)).c,n.a._b(c))pQ(),u=Ove;else{if(!i.a._b(c))throw qw(new $v("Source port must be in one of the port sets."));pQ(),u=Nve}if(l=a.d,n.a._b(l))pQ(),h=Ove;else{if(!i.a._b(l))throw qw(new $v("Target port must be in one of the port sets."));pQ(),h=Nve}s=new nAt(a,u,h),WK(t.b,a,s),r.c[r.c.length]=s}}function Ljt(t,e){var n,i,r,a,o,s,c;if(!KQ(t))throw qw(new jv(z5t));if(a=(i=KQ(t)).g,r=i.f,a<=0&&r<=0)return kYt(),SMe;switch(s=t.i,c=t.j,e.g){case 2:case 1:if(s<0)return kYt(),AMe;if(s+t.g>a)return kYt(),cMe;break;case 4:case 3:if(c<0)return kYt(),uMe;if(c+t.f>r)return kYt(),CMe}return(o=(s+t.g/2)/a)+(n=(c+t.f/2)/r)<=1&&o-n<=0?(kYt(),AMe):o+n>=1&&o-n>=0?(kYt(),cMe):n<.5?(kYt(),uMe):(kYt(),CMe)}function Djt(t,e,n,i,r){var a,o;if(a=adt(n0(e[0],GXt),n0(i[0],GXt)),t[0]=pZ(a),a=xU(a,32),n>=r){for(o=1;o<r;o++)a=adt(a,adt(n0(e[o],GXt),n0(i[o],GXt))),t[o]=pZ(a),a=xU(a,32);for(;o<n;o++)a=adt(a,n0(e[o],GXt)),t[o]=pZ(a),a=xU(a,32)}else{for(o=1;o<n;o++)a=adt(a,adt(n0(e[o],GXt),n0(i[o],GXt))),t[o]=pZ(a),a=xU(a,32);for(;o<r;o++)a=adt(a,n0(i[o],GXt)),t[o]=pZ(a),a=xU(a,32)}0!=Xlt(a,0)&&(t[o]=pZ(a))}function Ojt(t){var e,n,i,r,a,o;if(pKt(),4!=t.e&&5!=t.e)throw qw(new $v("Token#complementRanges(): must be RANGE: "+t.e));for(TDt(a=t),Zqt(a),i=a.b.length+2,0==a.b[0]&&(i-=2),(n=a.b[a.b.length-1])==cte&&(i-=2),(r=new T0(4)).b=P7(LNe,hXt,25,i,15,1),o=0,a.b[0]>0&&(r.b[o++]=0,r.b[o++]=a.b[0]-1),e=1;e<a.b.length-2;e+=2)r.b[o++]=a.b[e]+1,r.b[o++]=a.b[e+1]-1;return n!=cte&&(r.b[o++]=n+1,r.b[o]=cte),r.a=!0,r}function Njt(t,e,n){var i,r,a,o,s,c,u,l;if(0==(i=n.gc()))return!1;if(t.ej())if(u=t.fj(),qEt(t,e,n),o=1==i?t.Zi(3,null,n.Kc().Pb(),e,u):t.Zi(5,null,n,e,u),t.bj()){for(s=i<100?null:new jk(i),a=e+i,r=e;r<a;++r)l=t.g[r],s=t.cj(l,s),s=t.jj(l,s);s?(s.Ei(o),s.Fi()):t.$i(o)}else t.$i(o);else if(qEt(t,e,n),t.bj()){for(s=i<100?null:new jk(i),a=e+i,r=e;r<a;++r)c=t.g[r],s=t.cj(c,s);s&&s.Fi()}return!0}function Pjt(t,e,n,i){var r,a,o,s,c;for(o=new Kd(t.k);o.a<o.c.c.length;)r=zz(t0(o),129),i&&r.c!=(I6(),Eve)||(c=r.b).g<0&&r.d>0&&(Wf(c,c.d-r.d),r.c==(I6(),Eve)&&Gf(c,c.a-r.d),c.d<=0&&c.i>0&&r5(e,c,e.c.b,e.c));for(a=new Kd(t.f);a.a<a.c.c.length;)r=zz(t0(a),129),i&&r.c!=(I6(),Eve)||(s=r.a).g<0&&r.d>0&&(Xf(s,s.i-r.d),r.c==(I6(),Eve)&&Kf(s,s.b-r.d),s.i<=0&&s.d>0&&r5(n,s,n.c.b,n.c))}function Bjt(t,e,n){var i,r,a,o,s,c,u,l;for(LEt(n,"Processor compute fanout",1),DY(t.b),DY(t.a),s=null,a=lwt(e.b,0);!s&&a.b!=a.d.c;)Hv(EB(vTt(u=zz(d3(a),86),(ZHt(),pxe))))&&(s=u);for(r5(c=new VE,s,c.c.b,c.c),_Yt(t,c),l=lwt(e.b,0);l.b!=l.d.c;)o=CB(vTt(u=zz(d3(l),86),(ZHt(),rxe))),r=null!=CQ(t.b,o)?zz(CQ(t.b,o),19).a:0,hct(u,ixe,rft(r)),i=1+(null!=CQ(t.a,o)?zz(CQ(t.a,o),19).a:0),hct(u,exe,rft(i));HCt(n)}function Fjt(t,e,n,i,r){var a,o,s,c,u,l,h,f,d;for(h=x_t(t,n),s=0;s<e;s++){for(vF(r,n),f=new Nw,SP(i.b<i.d.gc()),d=zz(i.d.Xb(i.c=i.b++),407),u=h+s;u<t.b;u++)o=d,SP(i.b<i.d.gc()),Kz(f,new EPt(o,d=zz(i.d.Xb(i.c=i.b++),407),n));for(l=h+s;l<t.b;l++)SP(i.b>0),i.a.Xb(i.c=--i.b),l>h+s&&hK(i);for(a=new Kd(f);a.a<a.c.c.length;)vF(i,zz(t0(a),407));if(s<e-1)for(c=h+s;c<t.b;c++)SP(i.b>0),i.a.Xb(i.c=--i.b)}}function Rjt(){var t,e,n,i,r,a;if(pKt(),ANe)return ANe;for(lqt(t=new T0(4),tGt(yte,!0)),WZt(t,tGt("M",!0)),WZt(t,tGt("C",!0)),a=new T0(4),i=0;i<11;i++)QPt(a,i,i);return lqt(e=new T0(4),tGt("M",!0)),QPt(e,4448,4607),QPt(e,65438,65439),nHt(r=new rD(2),t),nHt(r,uNe),(n=new rD(2)).$l(bZ(a,tGt("L",!0))),n.$l(e),n=new l4(3,n),n=new YY(r,n),ANe=n}function $jt(t){var e,n;if(!Qat(e=CB(tDt(t,(lKt(),nCe))),t)&&!S7(t,mSe)&&(0!=(!t.a&&(t.a=new nY(YIe,t,10,11)),t.a).i||Hv(EB(tDt(t,CCe))))){if(null!=e&&0!=RTt(e).length)throw wUt(t,n=cI(cI(new fN("Layout algorithm '"),e),"' not found for ")),qw(new rx(n.a));if(!Qat(p1t,t))throw wUt(t,n=cI(cI(new fN("Unable to load default layout algorithm "),p1t)," for unconfigured node ")),qw(new rx(n.a))}}function jjt(t){var e,i,r,a,o,s,c,u,l,h,f,d,g;if(i=t.i,e=t.n,0==t.b)for(g=i.c+e.b,d=i.b-e.b-e.c,u=0,h=(s=t.a).length;u<h;++u)YZ(a=s[u],g,d);else r=Wyt(t,!1),YZ(t.a[0],i.c+e.b,r[0]),YZ(t.a[2],i.c+i.b-e.c-r[2],r[2]),f=i.b-e.b-e.c,r[0]>0&&(f-=r[0]+t.c,r[0]+=t.c),r[2]>0&&(f-=r[2]+t.c),r[1]=n.Math.max(r[1],f),YZ(t.a[1],i.c+e.b+r[0]-(r[1]-f)/2,r[1]);for(c=0,l=(o=t.a).length;c<l;++c)aO(a=o[c],326)&&zz(a,326).Te()}function zjt(t){var e,n,i,r,a,o,s,c,u,l,h;for((h=new oo).d=0,o=new Kd(t.b);o.a<o.c.c.length;)a=zz(t0(o),29),h.d+=a.a.c.length;for(i=0,r=0,h.a=P7(LNe,hXt,25,t.b.c.length,15,1),u=0,l=0,h.e=P7(LNe,hXt,25,h.d,15,1),n=new Kd(t.b);n.a<n.c.c.length;)for((e=zz(t0(n),29)).p=i++,h.a[e.p]=r++,l=0,c=new Kd(e.a);c.a<c.c.c.length;)(s=zz(t0(c),10)).p=u++,h.e[s.p]=l++;return h.c=new hb(h),h.b=uP(h.d),H$t(h,t),h.f=uP(h.d),Z$t(h,t),h}function qjt(t,e){var i,r,a;for(a=zz(PH(t.n,t.n.c.length-1),211).d,t.p=n.Math.min(t.p,e.g),t.r=n.Math.max(t.r,a),t.g=n.Math.max(t.g,e.g+(1==t.b.c.length?0:t.i)),t.o=n.Math.min(t.o,e.f),t.e+=e.f+(1==t.b.c.length?0:t.i),t.f=n.Math.max(t.f,e.f),r=t.n.c.length>0?(t.n.c.length-1)*t.i:0,i=new Kd(t.n);i.a<i.c.c.length;)r+=zz(t0(i),211).a;t.d=r,t.a=t.e/t.b.c.length-t.i*((t.b.c.length-1)/t.b.c.length),xvt(t.j)}function Hjt(t,e){var n,i,r,a,o,s,c,u,l;if(null==(u=EB(vTt(e,(fFt(),ioe))))||(xK(u),u)){for(l=P7(DNe,tQt,25,e.e.c.length,16,1),o=kIt(e),r=new VE,c=new Kd(e.e);c.a<c.c.c.length;)(n=QDt(t,zz(t0(c),144),null,null,l,o))&&(Zot(n,e),r5(r,n,r.c.b,r.c));if(r.b>1)for(i=lwt(r,0);i.b!=i.d.c;)for(a=0,s=new Kd((n=zz(d3(i),231)).e);s.a<s.c.c.length;)zz(t0(s),144).b=a++;return r}return s6(Ast(Zx(Rae,1),nJt,231,0,[e]))}function Zjt(t){var e,n,i,r,a;if(!t.g){if(a=new Ec,null==(e=SDe).a.zc(t,e)){for(n=new LO(xV(t));n.e!=n.i.gc();)wG(a,Zjt(zz(kwt(n),26)));e.a.Bc(t),e.a.gc()}for(i=a.i,!t.s&&(t.s=new nY(jLe,t,21,17)),r=new LO(t.s);r.e!=r.i.gc();++i)sd(zz(kwt(r),449),i);wG(a,(!t.s&&(t.s=new nY(jLe,t,21,17)),t.s)),olt(a),t.g=new bct(t,a),t.i=zz(a.g,247),null==t.i&&(t.i=MDe),t.p=null,S5(t).b&=-5}return t.g}function Ujt(t){var e,i,r,a,o,s,c,u,l,h,f,d,g;if(r=t.i,i=t.n,0==t.b)e=Kyt(t,!1),GZ(t.a[0],r.d+i.d,e[0]),GZ(t.a[2],r.d+r.a-i.a-e[2],e[2]),f=r.a-i.d-i.a,e[0]>0&&(e[0]+=t.c,f-=e[0]),e[2]>0&&(f-=e[2]+t.c),e[1]=n.Math.max(e[1],f),GZ(t.a[1],r.d+i.d+e[0]-(e[1]-f)/2,e[1]);else for(g=r.d+i.d,d=r.a-i.d-i.a,u=0,h=(s=t.a).length;u<h;++u)GZ(a=s[u],g,d);for(c=0,l=(o=t.a).length;c<l;++c)aO(a=o[c],326)&&zz(a,326).Ue()}function Yjt(t){var e,n,i,r,a,o,s,c,u;for(u=P7(LNe,hXt,25,t.b.c.length+1,15,1),c=new Fy,i=0,a=new Kd(t.b);a.a<a.c.c.length;){for(r=zz(t0(a),29),u[i++]=c.a.gc(),s=new Kd(r.a);s.a<s.c.c.length;)for(n=new cU(JO(ddt(zz(t0(s),10)).a.Kc(),new l));bLt(n);)e=zz(Y5(n),17),c.a.zc(e,c);for(o=new Kd(r.a);o.a<o.c.c.length;)for(n=new cU(JO(fdt(zz(t0(o),10)).a.Kc(),new l));bLt(n);)e=zz(Y5(n),17),c.a.Bc(e)}return u}function Gjt(t,e,n,i){var r,a,o,s,c;if(c=sPt(t.e.Tg(),e),r=zz(t.g,119),JT(),zz(e,66).Oj()){for(o=0;o<t.i;++o)if(a=r[o],c.rl(a.ak())&&Pht(a,n))return!0}else if(null!=n){for(s=0;s<t.i;++s)if(a=r[s],c.rl(a.ak())&&Pht(n,a.dd()))return!0;if(i)for(o=0;o<t.i;++o)if(a=r[o],c.rl(a.ak())&&ZM(n)===ZM(lB(t,zz(a.dd(),56))))return!0}else for(o=0;o<t.i;++o)if(a=r[o],c.rl(a.ak())&&null==a.dd())return!1;return!1}function Kjt(t,e,n,i){var r,a,o,s,c,u;if(u=sPt(t.e.Tg(),e),o=zz(t.g,119),OPt(t.e,e)){if(e.hi()&&(a=yzt(t,e,i,aO(e,99)&&0!=(zz(e,18).Bb&qXt)))>=0&&a!=n)throw qw(new $v(s7t));for(r=0,c=0;c<t.i;++c)if(s=o[c],u.rl(s.ak())){if(r==n)return zz(uyt(t,c,(JT(),zz(e,66).Oj()?zz(i,72):J3(e,i))),72);++r}throw qw(new Lv(i8t+n+u7t+r))}for(c=0;c<t.i;++c)if(s=o[c],u.rl(s.ak()))return JT(),zz(e,66).Oj()?s:s.dd();return null}function Wjt(t,e,i,r){var a,o,s,c;for(c=i,s=new Kd(e.a);s.a<s.c.c.length;){if(o=zz(t0(s),221),a=zz(o.b,65),Idt(t.b.c,a.b.c+a.b.b)<=0&&Idt(a.b.c,t.b.c+t.b.b)<=0&&Idt(t.b.d,a.b.d+a.b.a)<=0&&Idt(a.b.d,t.b.d+t.b.a)<=0){if(0==Idt(a.b.c,t.b.c+t.b.b)&&r.a<0||0==Idt(a.b.c+a.b.b,t.b.c)&&r.a>0||0==Idt(a.b.d,t.b.d+t.b.a)&&r.b<0||0==Idt(a.b.d+a.b.a,t.b.d)&&r.b>0){c=0;break}}else c=n.Math.min(c,HAt(t,a,r));c=n.Math.min(c,Wjt(t,o,c,r))}return c}function Xjt(t,e){var n,i,r,a,o,s;if(t.b<2)throw qw(new $v("The vector chain must contain at least a source and a target point."));for(SP(0!=t.b),AL(e,(i=zz(t.a.a.c,8)).a,i.b),s=new aP((!e.a&&(e.a=new DO(PIe,e,5)),e.a)),a=lwt(t,1);a.a<t.b-1;)o=zz(d3(a),8),s.e!=s.i.gc()?n=zz(kwt(s),469):(e_(),upt(s,n=new ac)),EL(n,o.a,o.b);for(;s.e!=s.i.gc();)kwt(s),Vkt(s);SP(0!=t.b),SL(e,(r=zz(t.c.b.c,8)).a,r.b)}function Vjt(t,e){var n,i,r,a,o,s,c,u;for(n=0,i=new Kd((f1(0,t.c.length),zz(t.c[0],101)).g.b.j);i.a<i.c.c.length;)zz(t0(i),11).p=n++;for(e==(kYt(),uMe)?mD(t,new ta):mD(t,new ea),o=0,u=t.c.length-1;o<u;)f1(o,t.c.length),a=zz(t.c[o],101),f1(u,t.c.length),c=zz(t.c[u],101),r=e==uMe?a.c:a.a,s=e==uMe?c.a:c.c,dY(a,e,(Lst(),vue),r),dY(c,e,mue,s),++o,--u;o==u&&dY((f1(o,t.c.length),zz(t.c[o],101)),e,(Lst(),yue),null)}function Qjt(t,e,n){var i,r,a,o,s,c,u,l,h,f;return l=t.a.i+t.a.g/2,h=t.a.i+t.a.g/2,o=new PA(e.i+e.g/2,e.j+e.f/2),(c=zz(tDt(e,(lKt(),bSe)),8)).a=c.a+l,c.b=c.b+h,r=(o.b-c.b)/(o.a-c.a),i=o.b-r*o.a,s=new PA(n.i+n.g/2,n.j+n.f/2),(u=zz(tDt(n,bSe),8)).a=u.a+l,u.b=u.b+h,a=(s.b-u.b)/(s.a-u.a),f=(i-(s.b-a*s.a))/(a-r),!(c.a<f&&o.a<f||f<c.a&&f<o.a||u.a<f&&s.a<f||f<u.a&&f<s.a)}function Jjt(t,e){var n,i,r,a,o,s;if(!(o=zz(FG(t.c,e),183)))throw qw(new nx("Edge did not exist in input."));return i=Vpt(o),!K_((!e.a&&(e.a=new nY(jIe,e,6,6)),e.a))&&(n=new Tz(t,i,s=new Af),gI((!e.a&&(e.a=new 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Kd(t.a);o.a<o.c.c.length;)(a=zz(t0(o),10)).k==(cCt(),Tse)&&((r=zz(vTt(a,Xhe),61))==(kYt(),cMe)?a.n.a+=n.a-e.a:r==CMe&&(a.n.b+=n.b-e.b));s=t.d,t.f.a=n.a-s.b-s.c,t.f.b=n.b-s.d-s.a}function Wzt(t){var e,i,r,a,o,s,c,u,l,h;for(u=new Md(new Ad(BIt(t)).a.vc().Kc());u.a.Ob();){for(r=zz(u.a.Pb(),42),l=0,h=0,l=(c=zz(r.cd(),10)).d.d,h=c.o.b+c.d.a,t.d[c.p]=0,e=c;(a=t.a[e.p])!=c;)i=Cbt(e,a),s=0,s=t.c==(bQ(),tve)?i.d.n.b+i.d.a.b-i.c.n.b-i.c.a.b:i.c.n.b+i.c.a.b-i.d.n.b-i.d.a.b,o=Zv(t.d[e.p])+s,t.d[a.p]=o,l=n.Math.max(l,a.d.d-o),h=n.Math.max(h,o+a.o.b+a.d.a),e=a;e=c;do{t.d[e.p]=Zv(t.d[e.p])+l,e=t.a[e.p]}while(e!=c);t.b[c.p]=l+h}}function Xzt(t){var e,i,r,a,o,s,c,u,l,h,f;for(t.b=!1,h=RXt,c=$Xt,f=RXt,u=$Xt,i=t.e.a.ec().Kc();i.Ob();)for(r=(e=zz(i.Pb(),266)).a,h=n.Math.min(h,r.c),c=n.Math.max(c,r.c+r.b),f=n.Math.min(f,r.d),u=n.Math.max(u,r.d+r.a),o=new Kd(e.c);o.a<o.c.c.length;)(a=zz(t0(o),395)).a.a?(s=(l=r.d+a.b.b)+a.c,f=n.Math.min(f,l),u=n.Math.max(u,s)):(s=(l=r.c+a.b.a)+a.c,h=n.Math.min(h,l),c=n.Math.max(c,s));t.a=new PA(c-h,u-f),t.c=new PA(h+t.d.a,f+t.d.b)}function Vzt(t,e,n){var i,r,a,o,s,c,u,l;for(l=new Nw,a=0,nit(u=new P0(0,n),new sut(0,0,u,n)),r=0,c=new LO(t);c.e!=c.i.gc();)s=zz(kwt(c),33),i=zz(PH(u.a,u.a.c.length-1),187),r+s.g+(0==zz(PH(u.a,0),187).b.c.length?0:n)>e&&(r=0,a+=u.b+n,l.c[l.c.length]=u,nit(u=new P0(a,n),i=new sut(0,u.f,u,n)),r=0),0==i.b.c.length||s.f>=i.o&&s.f<=i.f||.5*i.a<=s.f&&1.5*i.a>=s.f?xdt(i,s):(nit(u,o=new sut(i.s+i.r+n,u.f,u,n)),xdt(o,s)),r=s.i+s.g;return l.c[l.c.length]=u,l}function Qzt(t){var e,n,i,r,a,o;if(!t.a){if(t.o=null,o=new bw(t),e=new Cc,null==(n=SDe).a.zc(t,n)){for(a=new LO(xV(t));a.e!=a.i.gc();)wG(o,Qzt(zz(kwt(a),26)));n.a.Bc(t),n.a.gc()}for(!t.s&&(t.s=new nY(jLe,t,21,17)),r=new LO(t.s);r.e!=r.i.gc();)aO(i=zz(kwt(r),170),322)&&h8(e,zz(i,34));olt(e),t.k=new 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d4(t.e,4,e,n,null,r,!0):OV(t,e.Kj()?2:1,e,n,e.zj(),-1,!0),i?i.Ei(u):i=u),i=TRt(t,c,i)),i}function eqt(t,e,i,r,a,o,s){var c,u,l,h,f,d,g,p;switch(g=0,p=0,u=a.c,c=a.b,h=i.f,d=i.g,e.g){case 0:g=r.i+r.g+s,p=t.c?wEt(g,o,r,s):r.j,f=n.Math.max(u,g+d),l=n.Math.max(c,p+h);break;case 1:p=r.j+r.f+s,g=t.c?bEt(p,o,r,s):r.i,f=n.Math.max(u,g+d),l=n.Math.max(c,p+h);break;case 2:g=u+s,p=0,f=u+s+d,l=n.Math.max(c,h);break;case 3:g=0,p=c+s,f=n.Math.max(u,d),l=c+s+h;break;default:throw qw(new $v("IllegalPlacementOption."))}return new sgt(t.a,f,l,e,g,p)}function nqt(t){var e,i,r,a,o,s,c,u,l,h,f,d;if(c=t.d,f=zz(vTt(t,(hKt(),Rfe)),15),e=zz(vTt(t,Bhe),15),f||e){if(o=Zv(TB(ipt(t,(HGt(),wwe)))),s=Zv(TB(ipt(t,ywe))),d=0,f){for(l=0,a=f.Kc();a.Ob();)r=zz(a.Pb(),10),l=n.Math.max(l,r.o.b),d+=r.o.a;d+=o*(f.gc()-1),c.d+=l+s}if(i=0,e){for(l=0,a=e.Kc();a.Ob();)r=zz(a.Pb(),10),l=n.Math.max(l,r.o.b),i+=r.o.a;i+=o*(e.gc()-1),c.a+=l+s}(u=n.Math.max(d,i))>t.o.a&&(h=(u-t.o.a)/2,c.b=n.Math.max(c.b,h),c.c=n.Math.max(c.c,h))}}function iqt(t){var e,n,i,r,a,o;for(aL(r=new F0,(Pst(),QEe)),i=new Cd(new Qv(new EE(t,_rt(t,P7(Vee,lWt,2,0,6,1))).b));i.b<i.d.gc();)SP(i.b<i.d.gc()),n=CB(i.d.Xb(i.c=i.b++)),(a=yZt(fLe,n))&&null!=(o=tZt(a,(e=UQ(t,n)).je()?e.je().a:e.ge()?""+e.ge().a:e.he()?""+e.he().a:e.Ib()))&&((CN(a.j,(awt(),uTe))||CN(a.j,lTe))&&lct(Vtt(r,YIe),a,o),CN(a.j,sTe)&&lct(Vtt(r,$Ie),a,o),CN(a.j,hTe)&&lct(Vtt(r,GIe),a,o),CN(a.j,cTe)&&lct(Vtt(r,UIe),a,o));return r}function rqt(t,e,n,i){var r,a,o,s,c,u;if(c=sPt(t.e.Tg(),e),a=zz(t.g,119),OPt(t.e,e)){for(r=0,s=0;s<t.i;++s)if(o=a[s],c.rl(o.ak())){if(r==n)return JT(),zz(e,66).Oj()?o:(null!=(u=o.dd())&&i&&aO(e,99)&&0!=(zz(e,18).Bb&qXt)&&(u=zMt(t,e,s,r,u)),u);++r}throw qw(new Lv(i8t+n+u7t+r))}for(r=0,s=0;s<t.i;++s){if(o=a[s],c.rl(o.ak()))return JT(),zz(e,66).Oj()?o:(null!=(u=o.dd())&&i&&aO(e,99)&&0!=(zz(e,18).Bb&qXt)&&(u=zMt(t,e,s,r,u)),u);++r}return e.zj()}function aqt(t,e,n){var i,r,a,o,s,c,u,l;if(r=zz(t.g,119),OPt(t.e,e))return JT(),zz(e,66).Oj()?new fH(e,t):new PM(e,t);for(u=sPt(t.e.Tg(),e),i=0,s=0;s<t.i;++s){if(o=(a=r[s]).ak(),u.rl(o)){if(JT(),zz(e,66).Oj())return a;if(o==(TIt(),fOe)||o==uOe){for(c=new fN(qdt(a.dd()));++s<t.i;)((o=(a=r[s]).ak())==fOe||o==uOe)&&cI(c,qdt(a.dd()));return bR(zz(e.Yj(),148),c.a)}return null!=(l=a.dd())&&n&&aO(e,99)&&0!=(zz(e,18).Bb&qXt)&&(l=zMt(t,e,s,i,l)),l}++i}return e.zj()}function oqt(t,e,i){var r,a,o,s,c,u,l,h,f,d;for(o=0,s=t.t,a=0,r=0,u=0,d=0,f=0,i&&(t.n.c=P7(Dte,HKt,1,0,5,1),Kz(t.n,new FQ(t.s,t.t,t.i))),c=0,h=new Kd(t.b);h.a<h.c.c.length;)o+(l=zz(t0(h),33)).g+(c>0?t.i:0)>e&&u>0&&(o=0,s+=u+t.i,a=n.Math.max(a,d),r+=u+t.i,u=0,d=0,i&&(++f,Kz(t.n,new FQ(t.s,s,t.i))),c=0),d+=l.g+(c>0?t.i:0),u=n.Math.max(u,l.f),i&&lmt(zz(PH(t.n,f),211),l),o+=l.g+(c>0?t.i:0),++c;return a=n.Math.max(a,d),r+=u,i&&(t.r=a,t.d=r,xvt(t.j)),new YW(t.s,t.t,a,r)}function sqt(t,e,n,i,r){var a,o,s,c,u,l,h,f,d;if(DE(),CY(t,"src"),CY(n,"dest"),f=nut(t),c=nut(n),wq(0!=(4&f.i),"srcType is not an array"),wq(0!=(4&c.i),"destType is not an array"),h=f.c,o=c.c,wq(0!=(1&h.i)?h==o:0==(1&o.i),"Array types don't match"),d=t.length,u=n.length,e<0||i<0||r<0||e+r>d||i+r>u)throw qw(new hy);if(0==(1&h.i)&&f!=c)if(l=int(t),a=int(n),ZM(t)===ZM(n)&&e<i)for(e+=r,s=i+r;s-- >i;)DG(a,s,l[--e]);else for(s=i+r;i<s;)DG(a,i++,l[e++]);else r>0&&jAt(t,e,n,i,r,!0)}function cqt(){cqt=I,ane=Ast(Zx(LNe,1),hXt,25,15,[jWt,1162261467,LWt,1220703125,362797056,1977326743,LWt,387420489,DXt,214358881,429981696,815730721,1475789056,170859375,268435456,410338673,612220032,893871739,128e7,1801088541,113379904,148035889,191102976,244140625,308915776,387420489,481890304,594823321,729e6,887503681,LWt,1291467969,1544804416,1838265625,60466176]),one=Ast(Zx(LNe,1),hXt,25,15,[-1,-1,31,19,15,13,11,11,10,9,9,8,8,8,8,7,7,7,7,7,7,7,6,6,6,6,6,6,6,6,6,6,6,6,6,6,5])}function uqt(t){var e,n,i,r,a,o,s;for(i=new Kd(t.b);i.a<i.c.c.length;)for(a=new Kd(o0(zz(t0(i),29).a));a.a<a.c.c.length;)if(Jtt(r=zz(t0(a),10))&&!(n=zz(vTt(r,(hKt(),Fhe)),305)).g&&n.d)for(e=n,s=n.d;s;)iFt(s.i,s.k,!1,!0),L9(e.a),L9(s.i),L9(s.k),L9(s.b),TJ(s.c,e.c.d),TJ(e.c,null),SJ(e.a,null),SJ(s.i,null),SJ(s.k,null),SJ(s.b,null),(o=new y3(e.i,s.a,e.e,s.j,s.f)).k=e.k,o.n=e.n,o.b=e.b,o.c=s.c,o.g=e.g,o.d=s.d,hct(e.i,Fhe,o),hct(s.a,Fhe,o),s=s.d,e=o}function lqt(t,e){var n,i,r,a,o;if(o=zz(e,136),TDt(t),TDt(o),null!=o.b){if(t.c=!0,null==t.b)return t.b=P7(LNe,hXt,25,o.b.length,15,1),void sqt(o.b,0,t.b,0,o.b.length);for(a=P7(LNe,hXt,25,t.b.length+o.b.length,15,1),n=0,i=0,r=0;n<t.b.length||i<o.b.length;)n>=t.b.length?(a[r++]=o.b[i++],a[r++]=o.b[i++]):i>=o.b.length?(a[r++]=t.b[n++],a[r++]=t.b[n++]):o.b[i]<t.b[n]||o.b[i]===t.b[n]&&o.b[i+1]<t.b[n+1]?(a[r++]=o.b[i++],a[r++]=o.b[i++]):(a[r++]=t.b[n++],a[r++]=t.b[n++]);t.b=a}}function hqt(t,e){var n,i,r,a,o,s,c,u,l,h;return n=Hv(EB(vTt(t,(hKt(),ufe)))),s=Hv(EB(vTt(e,ufe))),i=zz(vTt(t,lfe),11),c=zz(vTt(e,lfe),11),r=zz(vTt(t,hfe),11),u=zz(vTt(e,hfe),11),l=!!i&&i==c,h=!!r&&r==u,n||s?(a=(!Hv(EB(vTt(t,ufe)))||Hv(EB(vTt(t,cfe))))&&(!Hv(EB(vTt(e,ufe)))||Hv(EB(vTt(e,cfe)))),o=!(Hv(EB(vTt(t,ufe)))&&Hv(EB(vTt(t,cfe)))||Hv(EB(vTt(e,ufe)))&&Hv(EB(vTt(e,cfe)))),new F$(l&&a||h&&o,l,h)):new F$(zz(t0(new Kd(t.j)),11).p==zz(t0(new Kd(e.j)),11).p,l,h)}function fqt(t){var e,i,r,a,o,s,c,u;for(r=0,i=0,u=new VE,e=0,c=new Kd(t.n);c.a<c.c.c.length;)0==(s=zz(t0(c),211)).c.c.length?r5(u,s,u.c.b,u.c):(r=n.Math.max(r,s.d),i+=s.a+(e>0?t.i:0)),++e;for(egt(t.n,u),t.d=i,t.r=r,t.g=0,t.f=0,t.e=0,t.o=RXt,t.p=RXt,o=new Kd(t.b);o.a<o.c.c.length;)a=zz(t0(o),33),t.p=n.Math.min(t.p,a.g),t.g=n.Math.max(t.g,a.g),t.f=n.Math.max(t.f,a.f),t.o=n.Math.min(t.o,a.f),t.e+=a.f+t.i;t.a=t.e/t.b.c.length-t.i*((t.b.c.length-1)/t.b.c.length),xvt(t.j)}function dqt(t){var e,n,i,r;return 0!=(64&t.Db)?Qft(t):(e=new fN(X5t),(i=t.k)?cI(cI((e.a+=' "',e),i),'"'):(!t.n&&(t.n=new nY(UIe,t,1,7)),t.n.i>0&&(!(r=(!t.n&&(t.n=new nY(UIe,t,1,7)),zz(Wet(t.n,0),137)).a)||cI(cI((e.a+=' "',e),r),'"'))),!t.b&&(t.b=new lR(RIe,t,4,7)),n=!(t.b.i<=1&&(!t.c&&(t.c=new lR(RIe,t,5,8)),t.c.i<=1)),e.a+=n?" [":" ",cI(e,QO(new mx,new LO(t.b))),n&&(e.a+="]"),e.a+=i1t,n&&(e.a+="["),cI(e,QO(new mx,new LO(t.c))),n&&(e.a+="]"),e.a)}function gqt(t,e){var n,i,r,a,o,s,c;if(t.a){if(c=null,null!=(s=t.a.ne())?e.a+=""+s:null!=(o=t.a.Dj())&&(-1!=(a=ZI(o,QEt(91)))?(c=o.substr(a),e.a+=""+hP(null==o?YKt:(xK(o),o),0,a)):e.a+=""+o),t.d&&0!=t.d.i){for(r=!0,e.a+="<",i=new LO(t.d);i.e!=i.i.gc();)n=zz(kwt(i),87),r?r=!1:e.a+=zKt,gqt(n,e);e.a+=">"}null!=c&&(e.a+=""+c)}else t.e?null!=(s=t.e.zb)&&(e.a+=""+s):(e.a+="?",t.b?(e.a+=" super ",gqt(t.b,e)):t.f&&(e.a+=" extends ",gqt(t.f,e)))}function pqt(t,e){var n,i,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x,k,_,E,T;for(v=t.c,x=e.c,n=_9(v.a,t,0),i=_9(x.a,e,0),y=zz(Bgt(t,(sit(),qye)).Kc().Pb(),11),E=zz(Bgt(t,Hye).Kc().Pb(),11),m=zz(Bgt(e,qye).Kc().Pb(),11),T=zz(Bgt(e,Hye).Kc().Pb(),11),b=J0(y.e),k=J0(E.g),w=J0(m.e),_=J0(T.g),Vvt(t,i,x),u=0,d=(a=w).length;u<d;++u)TJ(a[u],y);for(l=0,g=(o=_).length;l<g;++l)CJ(o[l],E);for(Vvt(e,n,v),h=0,p=(s=b).length;h<p;++h)TJ(s[h],m);for(c=0,f=(r=k).length;c<f;++c)CJ(r[c],T)}function bqt(t,e,n,i){var r,a,o,s,c,u;if(a=Wft(i),!Hv(EB(vTt(i,(HGt(),Mbe))))&&!Hv(EB(vTt(t,dbe)))||yL(zz(vTt(t,nwe),98)))switch(AJ(s=new MCt,t),e?((u=s.n).a=e.a-t.n.a,u.b=e.b-t.n.b,WCt(u,0,0,t.o.a,t.o.b),ZAt(s,Y$t(s,a))):(r=hgt(a),ZAt(s,n==(sit(),Hye)?r:Tft(r))),o=zz(vTt(i,(hKt(),Jhe)),21),c=s.j,a.g){case 2:case 1:(c==(kYt(),uMe)||c==CMe)&&o.Fc((gBt(),bhe));break;case 4:case 3:(c==(kYt(),cMe)||c==AMe)&&o.Fc((gBt(),bhe))}else r=hgt(a),s=R$t(t,n,n==(sit(),Hye)?r:Tft(r));return s}function wqt(t,e,i){var r,a,o,s,c,u,l;return n.Math.abs(e.s-e.c)<dJt||n.Math.abs(i.s-i.c)<dJt?0:(r=WNt(t,e.j,i.e),a=WNt(t,i.j,e.e),o=0,-1==r||-1==a?(-1==r&&(new UJ((I6(),Eve),i,e,1),++o),-1==a&&(new UJ((I6(),Eve),e,i,1),++o)):(s=Tht(e.j,i.s,i.c),s+=Tht(i.e,e.s,e.c),c=Tht(i.j,e.s,e.c),(u=r+16*s)<(l=a+16*(c+=Tht(e.e,i.s,i.c)))?new UJ((I6(),Tve),e,i,l-u):u>l?new UJ((I6(),Tve),i,e,u-l):u>0&&l>0&&(new UJ((I6(),Tve),e,i,0),new UJ(Tve,i,e,0))),o)}function yqt(t,e){var i,r,a,o,s;for(s=new cut(new Sd(t.f.b).a);s.b;){if(a=zz((o=nnt(s)).cd(),594),1==e){if(a.gf()!=(zht(),qSe)&&a.gf()!=RSe)continue}else if(a.gf()!=(zht(),$Se)&&a.gf()!=jSe)continue;switch(r=zz(zz(o.dd(),46).b,81),i=zz(zz(o.dd(),46).a,189).c,a.gf().g){case 2:r.g.c=t.e.a,r.g.b=n.Math.max(1,r.g.b+i);break;case 1:r.g.c=r.g.c+i,r.g.b=n.Math.max(1,r.g.b-i);break;case 4:r.g.d=t.e.b,r.g.a=n.Math.max(1,r.g.a+i);break;case 3:r.g.d=r.g.d+i,r.g.a=n.Math.max(1,r.g.a-i)}}}function mqt(t,e){var i,r,a,o,s,c,u,l,h,f,d,g,p,b;for(c=P7(LNe,hXt,25,e.b.c.length,15,1),l=P7(Dse,OWt,267,e.b.c.length,0,1),u=P7(Ise,s1t,10,e.b.c.length,0,1),d=0,g=(f=t.a).length;d<g;++d){for(b=0,s=new Kd((h=f[d]).e);s.a<s.c.c.length;)++c[r=eL((a=zz(t0(s),10)).c)],p=Zv(TB(vTt(e,(HGt(),vwe)))),c[r]>0&&u[r]&&(p=RD(t.b,u[r],a)),b=n.Math.max(b,a.c.c.b+p);for(o=new Kd(h.e);o.a<o.c.c.length;)(a=zz(t0(o),10)).n.b=b+a.d.d,(i=a.c).c.b=b+a.d.d+a.o.b+a.d.a,l[_9(i.b.b,i,0)]=a.k,u[_9(i.b.b,i,0)]=a}}function vqt(t,e){var n,i,r,a,o,s,c,u,h,f,d;for(i=new cU(JO(bOt(e).a.Kc(),new l));bLt(i);)aO(Wet((!(n=zz(Y5(i),79)).b&&(n.b=new lR(RIe,n,4,7)),n.b),0),186)||(c=AEt(zz(Wet((!n.c&&(n.c=new lR(RIe,n,5,8)),n.c),0),82)),eLt(n)||(o=e.i+e.g/2,s=e.j+e.f/2,h=c.i+c.g/2,f=c.j+c.f/2,(d=new Zk).a=h-o,d.b=f-s,Gxt(a=new PA(d.a,d.b),e.g,e.f),d.a-=a.a,d.b-=a.b,o=h-d.a,s=f-d.b,Gxt(u=new PA(d.a,d.b),c.g,c.f),d.a-=u.a,d.b-=u.b,h=o+d.a,f=s+d.b,Int(r=oBt(n,!0,!0),o),Dnt(r,s),Tnt(r,h),Lnt(r,f),vqt(t,c)))}function xqt(t){NT(t,new CEt(yk(gk(wk(bk(new bs,R4t),"ELK SPOrE Compaction"),"ShrinkTree is a compaction algorithm that maintains the topology of a layout. The relocation of diagram elements is based on contracting a spanning tree."),new ns))),s2(t,R4t,$4t,vwt(xEe)),s2(t,R4t,j4t,vwt(yEe)),s2(t,R4t,z4t,vwt(wEe)),s2(t,R4t,q4t,vwt(pEe)),s2(t,R4t,H4t,vwt(bEe)),s2(t,R4t,VQt,gEe),s2(t,R4t,mJt,8),s2(t,R4t,Z4t,vwt(vEe)),s2(t,R4t,U4t,vwt(lEe)),s2(t,R4t,Y4t,vwt(hEe)),s2(t,R4t,K2t,(lN(),!1))}function kqt(t,e){var i,r,a,o,s,c,u,l,h,f;for(LEt(e,"Simple node placement",1),f=zz(vTt(t,(hKt(),Lfe)),304),c=0,o=new Kd(t.b);o.a<o.c.c.length;){for((s=(r=zz(t0(o),29)).c).b=0,i=null,l=new Kd(r.a);l.a<l.c.c.length;)u=zz(t0(l),10),i&&(s.b+=Ipt(u,i,f.c)),s.b+=u.d.d+u.o.b+u.d.a,i=u;c=n.Math.max(c,s.b)}for(a=new Kd(t.b);a.a<a.c.c.length;)for(h=(c-(s=(r=zz(t0(a),29)).c).b)/2,i=null,l=new Kd(r.a);l.a<l.c.c.length;)u=zz(t0(l),10),i&&(h+=Ipt(u,i,f.c)),h+=u.d.d,u.n.b=h,h+=u.o.b+u.d.a,i=u;HCt(e)}function _qt(t,e,n,i){var r,a,o,s,c,u,l,h;if(0==i.gc())return!1;if(JT(),o=(c=zz(e,66).Oj())?i:new wet(i.gc()),OPt(t.e,e)){if(e.hi())for(l=i.Kc();l.Ob();)Gjt(t,e,u=l.Pb(),aO(e,99)&&0!=(zz(e,18).Bb&qXt))||(a=J3(e,u),o.Fc(a));else if(!c)for(l=i.Kc();l.Ob();)a=J3(e,u=l.Pb()),o.Fc(a)}else{for(h=sPt(t.e.Tg(),e),r=zz(t.g,119),s=0;s<t.i;++s)if(a=r[s],h.rl(a.ak()))throw qw(new $v(I9t));if(i.gc()>1)throw qw(new $v(I9t));c||(a=J3(e,i.Kc().Pb()),o.Fc(a))}return uct(t,ESt(t,e,n),o)}function Eqt(t,e){var n,i,r,a;for(Vet(e.b.j),QE(DW(new FH(null,new g1(e.d,16)),new aa),new oa),a=new Kd(e.d);a.a<a.c.c.length;){switch((r=zz(t0(a),101)).e.g){case 0:n=zz(PH(r.j,0),113).d.j,Zf(r,zz(DN(IU(zz(l6(r.k,n),15).Oc(),Xue)),113)),Hf(r,zz(DN(MU(zz(l6(r.k,n),15).Oc(),Xue)),113));break;case 1:i=Hvt(r),Zf(r,zz(DN(IU(zz(l6(r.k,i[0]),15).Oc(),Xue)),113)),Hf(r,zz(DN(MU(zz(l6(r.k,i[1]),15).Oc(),Xue)),113));break;case 2:XSt(t,r);break;case 3:$Nt(r);break;case 4:UNt(t,r)}Xet(r)}t.a=null}function Tqt(t,e,n){var i,r,a,o,s,c,u,l;return i=t.a.o==(cJ(),ave)?RXt:$Xt,!(s=ojt(t,new oA(e,n))).a&&s.c?(Bq(t.d,s),i):s.a?(r=s.a.c,c=s.a.d,n?(u=t.a.c==(bQ(),eve)?c:r,a=t.a.c==eve?r:c,o=t.a.g[a.i.p],l=Zv(t.a.p[o.p])+Zv(t.a.d[a.i.p])+a.n.b+a.a.b-Zv(t.a.d[u.i.p])-u.n.b-u.a.b):(u=t.a.c==(bQ(),tve)?c:r,a=t.a.c==tve?r:c,l=Zv(t.a.p[t.a.g[a.i.p].p])+Zv(t.a.d[a.i.p])+a.n.b+a.a.b-Zv(t.a.d[u.i.p])-u.n.b-u.a.b),t.a.n[t.a.g[r.i.p].p]=(lN(),!0),t.a.n[t.a.g[c.i.p].p]=!0,l):i}function Cqt(t,e,n){var i,r,a,o,s,c,u;if(OPt(t.e,e))JT(),DIt((s=zz(e,66).Oj()?new fH(e,t):new PM(e,t)).c,s.b),JD(s,zz(n,14));else{for(u=sPt(t.e.Tg(),e),i=zz(t.g,119),a=0;a<t.i;++a)if(r=i[a].ak(),u.rl(r)){if(r==(TIt(),fOe)||r==uOe){for(o=a,(c=Lyt(t,e,n))?fBt(t,a):++a;a<t.i;)(r=i[a].ak())==fOe||r==uOe?fBt(t,a):++a;c||zz(uyt(t,o,J3(e,n)),72)}else Lyt(t,e,n)?fBt(t,a):zz(uyt(t,a,(JT(),zz(e,66).Oj()?zz(n,72):J3(e,n))),72);return}Lyt(t,e,n)||h8(t,(JT(),zz(e,66).Oj()?zz(n,72):J3(e,n)))}}function Sqt(t,e,n){var i,r,a,o,s,c,u,l;return Pht(n,t.b)||(t.b=n,a=new Vt,o=zz(S4(DW(new FH(null,new g1(n.f,16)),a),P9(new X,new V,new rt,new at,Ast(Zx(tie,1),OWt,132,0,[(Zut(),Gne),Yne]))),21),t.e=!0,t.f=!0,t.c=!0,t.d=!0,r=o.Hc((Hwt(),zre)),i=o.Hc(qre),r&&!i&&(t.f=!1),!r&&i&&(t.d=!1),r=o.Hc(jre),i=o.Hc(Hre),r&&!i&&(t.c=!1),!r&&i&&(t.e=!1)),l=zz(t.a.Ce(e,n),46),c=zz(l.a,19).a,u=zz(l.b,19).a,s=!1,c<0?t.c||(s=!0):t.e||(s=!0),u<0?t.d||(s=!0):t.f||(s=!0),s?Sqt(t,l,n):l}function Aqt(t){var e,i,r,a;a=t.o,HB(),t.A.dc()||Pht(t.A,Dre)?e=a.b:(e=CMt(t.f),t.A.Hc((vpt(),FMe))&&!t.B.Hc((e$t(),GMe))&&(e=n.Math.max(e,CMt(zz(cW(t.p,(kYt(),cMe)),244))),e=n.Math.max(e,CMt(zz(cW(t.p,AMe),244)))),(i=uot(t))&&(e=n.Math.max(e,i.b)),t.A.Hc(RMe)&&(t.q!=(V_t(),KAe)&&t.q!=GAe||(e=n.Math.max(e,Gq(zz(cW(t.b,(kYt(),cMe)),124))),e=n.Math.max(e,Gq(zz(cW(t.b,AMe),124)))))),Hv(EB(t.e.yf().We((lKt(),jCe))))?a.b=n.Math.max(a.b,e):a.b=e,(r=t.f.i).d=0,r.a=e,Ujt(t.f)}function Mqt(t,e){var n,i,r,a,o,s,c,u,l,h,f,d;for(l=0;l<e.length;l++){for(o=t.Kc();o.Ob();)zz(o.Pb(),225).Of(l,e);for(h=0;h<e[l].length;h++){for(s=t.Kc();s.Ob();)zz(s.Pb(),225).Pf(l,h,e);for(d=e[l][h].j,f=0;f<d.c.length;f++){for(c=t.Kc();c.Ob();)zz(c.Pb(),225).Qf(l,h,f,e);for(f1(f,d.c.length),n=0,r=new m6(zz(d.c[f],11).b);vD(r.a)||vD(r.b);)for(i=zz(vD(r.a)?t0(r.a):t0(r.b),17),u=t.Kc();u.Ob();)zz(u.Pb(),225).Nf(l,h,f,n++,i,e)}}}for(a=t.Kc();a.Ob();)zz(a.Pb(),225).Mf()}function Iqt(t,e){var n,i,r,a,o;for(t.b=Zv(TB(vTt(e,(HGt(),xwe)))),t.c=Zv(TB(vTt(e,Ewe))),t.d=zz(vTt(e,rbe),336),t.a=zz(vTt(e,Spe),275),fmt(e),r=(a=zz(S4(LW(LW(gtt(gtt(new FH(null,new g1(e.b,16)),new vn),new xn),new kn),new _n),m8(new q,new z,new it,Ast(Zx(tie,1),OWt,132,0,[(Zut(),Yne)]))),15)).Kc();r.Ob();)n=zz(r.Pb(),17),zz(vTt(n,(hKt(),Nfe)),15).Jc(new np(t)),hct(n,Nfe,null);for(i=a.Kc();i.Ob();)n=zz(i.Pb(),17),o=zz(vTt(n,(hKt(),Pfe)),17),zGt(t,zz(vTt(n,Dfe),15),o),hct(n,Dfe,null)}function Lqt(t){t.b=null,t.a=null,t.o=null,t.q=null,t.v=null,t.w=null,t.B=null,t.p=null,t.Q=null,t.R=null,t.S=null,t.T=null,t.U=null,t.V=null,t.W=null,t.bb=null,t.eb=null,t.ab=null,t.H=null,t.db=null,t.c=null,t.d=null,t.f=null,t.n=null,t.r=null,t.s=null,t.u=null,t.G=null,t.J=null,t.e=null,t.j=null,t.i=null,t.g=null,t.k=null,t.t=null,t.F=null,t.I=null,t.L=null,t.M=null,t.O=null,t.P=null,t.$=null,t.N=null,t.Z=null,t.cb=null,t.K=null,t.D=null,t.A=null,t.C=null,t._=null,t.fb=null,t.X=null,t.Y=null,t.gb=!1,t.hb=!1}function Dqt(t){var e,n,i,r,a;if(t.k!=(cCt(),Ase))return!1;if(t.j.c.length<=1)return!1;if(zz(vTt(t,(HGt(),nwe)),98)==(V_t(),GAe))return!1;if(gyt(),(i=(t.q?t.q:(CX(),CX(),hne))._b(Fbe)?zz(vTt(t,Fbe),197):zz(vTt(yK(t),Rbe),197))==fye)return!1;if(i!=hye&&i!=lye){if(r=Zv(TB(ipt(t,Nwe))),!(e=zz(vTt(t,Owe),142))&&(e=new qF(r,r,r,r)),a=sdt(t,(kYt(),AMe)),e.d+e.a+(a.gc()-1)*r>t.o.b)return!1;if(n=sdt(t,cMe),e.d+e.a+(n.gc()-1)*r>t.o.b)return!1}return!0}function Oqt(t,e){var n,i,r,a,o,s,c,u,l,h,f,d,g;if(o=t.e,c=e.e,0==o)return e;if(0==c)return t;if((a=t.d)+(s=e.d)==2)return n=n0(t.a[0],GXt),i=n0(e.a[0],GXt),o==c?(g=pZ(l=adt(n,i)),0==(d=pZ(kU(l,32)))?new G6(o,g):new fY(o,2,Ast(Zx(LNe,1),hXt,25,15,[g,d]))):ewt(o<0?rdt(i,n):rdt(n,i));if(o==c)f=o,h=a>=s?N7(t.a,a,e.a,s):N7(e.a,s,t.a,a);else{if(0==(r=a!=s?a>s?1:-1:Cut(t.a,e.a,a)))return LBt(),ine;1==r?(f=o,h=p6(t.a,a,e.a,s)):(f=c,h=p6(e.a,s,t.a,a))}return G0(u=new fY(f,h.length,h)),u}function Nqt(t,e,i,r,a,o,s){var c,u,l,h,f,d,g;return f=Hv(EB(vTt(e,(HGt(),Ibe)))),d=null,o==(sit(),qye)&&r.c.i==i?d=r.c:o==Hye&&r.d.i==i&&(d=r.d),(l=s)&&f&&!d?(Kz(l.e,r),g=n.Math.max(Zv(TB(vTt(l.d,obe))),Zv(TB(vTt(r,obe)))),hct(l.d,obe,g)):(kYt(),h=SMe,d?h=d.j:yL(zz(vTt(i,nwe),98))&&(h=o==qye?AMe:cMe),u=Bqt(t,e,i,o,h,r),c=K5((yK(i),r)),o==qye?(CJ(c,zz(PH(u.j,0),11)),TJ(c,a)):(CJ(c,a),TJ(c,zz(PH(u.j,0),11))),l=new Yht(r,c,u,zz(vTt(u,(hKt(),pfe)),11),o,!d)),JMt(t.a,r,new O$(l.d,e,o)),l}function Pqt(t,e){var 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Fqt(t,e){var n,i,r,a,o,s,c,u,l,h,f,d,g,p;LEt(e,"Orthogonal edge routing",1),u=Zv(TB(vTt(t,(HGt(),Lwe)))),n=Zv(TB(vTt(t,xwe))),i=Zv(TB(vTt(t,Ewe))),f=new hG(0,n),p=0,o=new T2(t.b,0),s=null,l=null,c=null,h=null;do{h=(l=o.b<o.d.gc()?(SP(o.b<o.d.gc()),zz(o.d.Xb(o.c=o.b++),29)):null)?l.a:null,s&&(THt(s,p),p+=s.c.a),g=DZt(f,t,c,h,s?p+i:p),r=!s||WM(c,(bPt(),kve)),a=!l||WM(h,(bPt(),kve)),g>0?(d=(g-1)*n,s&&(d+=i),l&&(d+=i),d<u&&!r&&!a&&(d=u),p+=d):!r&&!a&&(p+=u),s=l,c=h}while(l);t.f.a=p,HCt(e)}function Rqt(){var t;Rqt=I,_Le=new Cm,xLe=P7(Vee,lWt,2,0,6,1),CLe=i0(qst(33,58),qst(1,26)),SLe=i0(qst(97,122),qst(65,90)),ALe=qst(48,57),ELe=i0(CLe,0),TLe=i0(SLe,ALe),MLe=i0(i0(0,qst(1,6)),qst(33,38)),ILe=i0(i0(ALe,qst(65,70)),qst(97,102)),PLe=i0(ELe,bwt("-_.!~*'()")),BLe=i0(TLe,Kgt("-_.!~*'()")),bwt(c8t),Kgt(c8t),i0(PLe,bwt(";:@&=+$,")),i0(BLe,Kgt(";:@&=+$,")),LLe=bwt(":/?#"),DLe=Kgt(":/?#"),OLe=bwt("/?#"),NLe=Kgt("/?#"),(t=new Fy).a.zc("jar",t),t.a.zc("zip",t),t.a.zc("archive",t),CX(),kLe=new Lx(t)}function $qt(t,e){var n,i,r,a,o;if(hct(e,(ZHt(),cxe),0),r=zz(vTt(e,oxe),86),0==e.d.b)r?(o=Zv(TB(vTt(r,hxe)))+t.a+_5(r,e),hct(e,hxe,o)):hct(e,hxe,0);else{for(n=new gb(lwt(new db(e).a.d,0));__(n.a);)$qt(t,zz(d3(n.a),188).c);i=zz(iO(new gb(lwt(new db(e).a.d,0))),86),a=(Zv(TB(vTt(zz(EN(new gb(lwt(new db(e).a.d,0))),86),hxe)))+Zv(TB(vTt(i,hxe))))/2,r?(o=Zv(TB(vTt(r,hxe)))+t.a+_5(r,e),hct(e,hxe,o),hct(e,cxe,Zv(TB(vTt(e,hxe)))-a),IZt(t,e)):hct(e,hxe,a)}}function jqt(t,e){var n,i,r,a,o,s,c,u,l,h,f,d;s=0,d=0,c=EQ(t.f,t.f.length),a=t.d,o=t.i,i=t.a,r=t.b;do{for(f=0,u=new Kd(t.p);u.a<u.c.c.length;)h=LZt(t,zz(t0(u),10)),n=!0,(t.q==(lNt(),Eye)||t.q==Sye)&&(n=Hv(EB(h.b))),zz(h.a,19).a<0&&n?(++f,c=EQ(t.f,t.f.length),t.d=t.d+zz(h.a,19).a,d+=a-t.d,a=t.d+zz(h.a,19).a,o=t.i,i=o0(t.a),r=o0(t.b)):(t.f=EQ(c,c.length),t.d=a,t.a=(vG(i),i?new e$(i):qz(new Kd(i))),t.b=(vG(r),r?new e$(r):qz(new Kd(r))),t.i=o);++s,l=0!=f&&Hv(EB(e.Kb(new rM(rft(d),rft(s)))))}while(l)}function zqt(t,e,i,r){var a,o,s,c,u,l,h,f,d,g,p,b,w,y,m;return o=t.f,f=e.f,s=o==(QOt(),P_e)||o==F_e,c=o==B_e||o==R_e,d=f==B_e||f==R_e,u=o==B_e||o==P_e,g=f==B_e||f==P_e,!s||f!=P_e&&f!=F_e?c&&d?t.f==R_e?t:e:u&&g?(o==B_e?(h=t,l=e):(h=e,l=t),p=i.j+i.f,b=h.e+r.f,w=n.Math.max(p,b)-n.Math.min(i.j,h.e),a=(h.d+r.g-i.i)*w,y=i.i+i.g,m=l.d+r.g,a<=(n.Math.max(y,m)-n.Math.min(i.i,l.d))*(l.e+r.f-i.j)?t.f==B_e?t:e:t.f==P_e?t:e):t:t.f==F_e?t:e}function qqt(t){var e,n,i,r,a,o,s,c,u,l;for(u=t.e.a.c.length,a=new Kd(t.e.a);a.a<a.c.c.length;)zz(t0(a),121).j=!1;for(t.i=P7(LNe,hXt,25,u,15,1),t.g=P7(LNe,hXt,25,u,15,1),t.n=new Nw,r=0,l=new Nw,s=new Kd(t.e.a);s.a<s.c.c.length;)(o=zz(t0(s),121)).d=r++,0==o.b.a.c.length&&Kz(t.n,o),wst(l,o.g);for(e=0,i=new Kd(l);i.a<i.c.c.length;)(n=zz(t0(i),213)).c=e++,n.f=!1;c=l.c.length,null==t.b||t.b.length<c?(t.b=P7(PNe,ZXt,25,c,15,1),t.c=P7(DNe,tQt,25,c,16,1)):tx(t.c),t.d=l,t.p=new ON(net(t.d.c.length)),t.j=1}function Hqt(t,e){var n,i,r,a,o,s,c,u,l;if(!(e.e.c.length<=1)){for(t.f=e,t.d=zz(vTt(t.f,(axt(),yoe)),379),t.g=zz(vTt(t.f,koe),19).a,t.e=Zv(TB(vTt(t.f,moe))),t.c=Zv(TB(vTt(t.f,woe))),aG(t.b),r=new Kd(t.f.c);r.a<r.c.c.length;)i=zz(t0(r),282),xRt(t.b,i.c,i,null),xRt(t.b,i.d,i,null);for(s=t.f.e.c.length,t.a=xH(PNe,[lWt,ZXt],[104,25],15,[s,s],2),u=new Kd(t.f.e);u.a<u.c.c.length;)Mzt(t,c=zz(t0(u),144),t.a[c.b]);for(t.i=xH(PNe,[lWt,ZXt],[104,25],15,[s,s],2),a=0;a<s;++a)for(o=0;o<s;++o)l=1/((n=t.a[a][o])*n),t.i[a][o]=l}}function Zqt(t){var e,n,i,r;if(!(null==t.b||t.b.length<=2||t.a)){for(e=0,r=0;r<t.b.length;){for(e!=r?(t.b[e]=t.b[r++],t.b[e+1]=t.b[r++]):r+=2,n=t.b[e+1];r<t.b.length&&!(n+1<t.b[r]);)if(n+1==t.b[r])t.b[e+1]=t.b[r+1],n=t.b[e+1],r+=2;else if(n>=t.b[r+1])r+=2;else{if(!(n<t.b[r+1]))throw qw(new pv("Token#compactRanges(): Internel Error: ["+t.b[e]+","+t.b[e+1]+"] 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e,n,i,r,a,o,s,c,u,l;if(t.ej())if(l=t.Vi(),c=t.fj(),l>0)if(e=new _at(t.Gi()),a=(n=l)<100?null:new jk(n),QB(t,n,e.g),r=1==n?t.Zi(4,Wet(e,0),null,0,c):t.Zi(6,e,null,-1,c),t.bj()){for(i=new LO(e);i.e!=i.i.gc();)a=t.dj(kwt(i),a);a?(a.Ei(r),a.Fi()):t.$i(r)}else a?(a.Ei(r),a.Fi()):t.$i(r);else QB(t,t.Vi(),t.Wi()),t.$i(t.Zi(6,(CX(),lne),null,-1,c));else if(t.bj())if((l=t.Vi())>0){for(s=t.Wi(),u=l,QB(t,l,s),a=u<100?null:new jk(u),i=0;i<u;++i)o=s[i],a=t.dj(o,a);a&&a.Fi()}else QB(t,t.Vi(),t.Wi());else QB(t,t.Vi(),t.Wi())}function vHt(t,e,n){var i,r,a,o,s,c,u,l,h,f,d;for(s=new Kd(e);s.a<s.c.c.length;)(a=zz(t0(s),233)).e=null,a.c=0;for(c=null,o=new Kd(e);o.a<o.c.c.length;)if(h=(a=zz(t0(o),233)).d[0],!n||h.k==(cCt(),Ase)){for(d=zz(vTt(h,(hKt(),afe)),15).Kc();d.Ob();)f=zz(d.Pb(),10),n&&f.k!=(cCt(),Ase)||((!a.e&&(a.e=new 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LO((!t.a&&(t.a=new nY(YIe,t,10,11)),t.a));f.e!=f.i.gc();)o=new UP(zz(kwt(f),33)),s.c[s.c.length]=o;switch(zz(tDt(t,FTe),311).g){case 3:g=sjt(s,e,h.a,h.b,(u=r,xK(a),u));break;case 1:g=mzt(s,e,h.a,h.b,(l=r,xK(a),l));break;default:g=CHt(s,e,h.a,h.b,(c=r,xK(a),c))}$Yt(t,(d=xGt(new Uet(g),e,i,h.a,h.b,r,(xK(a),a))).a,d.b,!1,!0)}function _Ht(t,e){var n,i,r,a;a=new e$((n=e.b).j),r=0,(i=n.j).c=P7(Dte,HKt,1,0,5,1),nG(zz(wot(t.b,(kYt(),uMe),(Mrt(),Fue)),15),n),r=Jmt(a,r,new Pr,i),nG(zz(wot(t.b,uMe,Bue),15),n),r=Jmt(a,r,new Nr,i),nG(zz(wot(t.b,uMe,Pue),15),n),nG(zz(wot(t.b,cMe,Fue),15),n),nG(zz(wot(t.b,cMe,Bue),15),n),r=Jmt(a,r,new Br,i),nG(zz(wot(t.b,cMe,Pue),15),n),nG(zz(wot(t.b,CMe,Fue),15),n),r=Jmt(a,r,new Fr,i),nG(zz(wot(t.b,CMe,Bue),15),n),r=Jmt(a,r,new Rr,i),nG(zz(wot(t.b,CMe,Pue),15),n),nG(zz(wot(t.b,AMe,Fue),15),n),r=Jmt(a,r,new Xr,i),nG(zz(wot(t.b,AMe,Bue),15),n),nG(zz(wot(t.b,AMe,Pue),15),n)}function EHt(t,e){var i,r,a,o,s,c,u,l,h,f,d,g,p,b;for(LEt(e,"Layer size 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Kd(s.j);d.a<d.c.c.length;)0==(f=zz(t0(d),11)).e.c.length||++i,0==f.g.c.length||++h;g=i+h==0?.5:h/(i+h)}b=t.c,l=s.o.a,w=(b.a-l)*g,g>.5?w-=2*o*(g-.5):g<.5&&(w+=2*a*(.5-g)),w<(r=s.d.b)&&(w=r),p=s.d.c,w>b.a-p-l&&(w=b.a-p-l),s.n.a=e+w}}function CHt(t,e,n,i,r){var a,o,s,c,u,l,h,f,d;for(s=P7(PNe,ZXt,25,t.c.length,15,1),rxt(f=new GU(new Gs),t),u=0,d=new Nw;0!=f.b.c.length;)if(o=zz(0==f.b.c.length?null:PH(f.b,0),157),u>1&&iZ(o)*nZ(o)/2>s[0]){for(a=0;a<d.c.length-1&&iZ(o)*nZ(o)/2>s[a];)++a;h=new Uet(new u1(d,0,a+1)),l=iZ(o)/nZ(o),c=xGt(h,e,new dm,n,i,r,l),YF(xI(h.e),c),j7(iTt(f,h)),rxt(f,new u1(d,a+1,d.c.length)),d.c=P7(Dte,HKt,1,0,5,1),u=0,kZ(s,s.length,0)}else null!=(0==f.b.c.length?null:PH(f.b,0))&&hrt(f,0),u>0&&(s[u]=s[u-1]),s[u]+=iZ(o)*nZ(o),++u,d.c[d.c.length]=o;return d}function SHt(t){var e,n,i;if((n=zz(vTt(t,(HGt(),xbe)),163))==(Tdt(),jfe)){for(e=new cU(JO(fdt(t).a.Kc(),new l));bLt(e);)if(!G5(zz(Y5(e),17)))throw qw(new rx(A1t+wvt(t)+"' has its layer constraint set to FIRST_SEPARATE, but 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n.e&&(this.e=Uz(n.e),this.e.Mc(e));this.f=e.f+n.f,this.a=e.a+n.a,this.a>0?Jet(this,this.f/this.a):null!=fO(e.g,e.d[0]).a&&null!=fO(n.g,n.d[0]).a?Jet(this,(Zv(fO(e.g,e.d[0]).a)+Zv(fO(n.g,n.d[0]).a))/2):null!=fO(e.g,e.d[0]).a?Jet(this,fO(e.g,e.d[0]).a):null!=fO(n.g,n.d[0]).a&&Jet(this,fO(n.g,n.d[0]).a)}function uZt(t,e){var n,i,r,a,o,s,c,u,l;for(t.a=new zG(Oat(KSe)),i=new Kd(e.a);i.a<i.c.c.length;){for(n=zz(t0(i),841),o=new Abt(Ast(Zx(Xoe,1),HKt,81,0,[])),Kz(t.a.a,o),c=new Kd(n.d);c.a<c.c.c.length;)zZt(u=new NN(t,s=zz(t0(c),110)),zz(vTt(n.c,(hKt(),Ghe)),21)),lY(t.g,n)||(WK(t.g,n,new PA(s.c,s.d)),WK(t.f,n,u)),Kz(t.a.b,u),b2(o,u);for(a=new Kd(n.b);a.a<a.c.c.length;)u=new NN(t,(r=zz(t0(a),594)).kf()),WK(t.b,r,new rM(o,u)),zZt(u,zz(vTt(n.c,(hKt(),Ghe)),21)),r.hf()&&(zZt(l=new Sbt(t,r.hf(),1),zz(vTt(n.c,Ghe),21)),b2(new Abt(Ast(Zx(Xoe,1),HKt,81,0,[])),l),JMt(t.c,r.gf(),new rM(o,l)))}return t.a}function lZt(t){var e;this.a=t,e=(cCt(),Ast(Zx(Dse,1),OWt,267,0,[Ase,Sse,Tse,Mse,Cse,Ese])).length,this.b=xH(fTe,[lWt,k3t],[593,146],0,[e,e],2),this.c=xH(fTe,[lWt,k3t],[593,146],0,[e,e],2),jV(this,Ase,(HGt(),Iwe),Lwe),nst(this,Ase,Sse,_we,Ewe),$V(this,Ase,Mse,_we),$V(this,Ase,Tse,_we),nst(this,Ase,Cse,Iwe,Lwe),jV(this,Sse,vwe,xwe),$V(this,Sse,Mse,vwe),$V(this,Sse,Tse,vwe),nst(this,Sse,Cse,_we,Ewe),JL(this,Mse,vwe),$V(this,Mse,Tse,vwe),$V(this,Mse,Cse,Swe),JL(this,Tse,Nwe),nst(this,Tse,Cse,Mwe,Awe),jV(this,Cse,vwe,vwe),jV(this,Ese,vwe,xwe),nst(this,Ese,Ase,_we,Ewe),nst(this,Ese,Cse,_we,Ewe),nst(this,Ese,Sse,_we,Ewe)}function hZt(t,e,n){var i,r,a,o,s,c,u,l,h,f,d,g,p,b;if(aO(o=n.ak(),99)&&0!=(zz(o,18).Bb&qXt)&&(f=zz(n.dd(),49),(p=nht(t.e,f))!=f)){if(kO(t,e,lEt(t,e,l=J3(o,p))),h=null,mL(t.e)&&(i=zHt((ISt(),JDe),t.e.Tg(),o))!=iet(t.e.Tg(),t.c)){for(b=sPt(t.e.Tg(),o),s=0,a=zz(t.g,119),c=0;c<e;++c)r=a[c],b.rl(r.ak())&&++s;(h=new d4(t.e,9,i,f,p,s,!1)).Ei(new N9(t.e,9,t.c,n,l,e,!1))}return(d=Myt(g=zz(o,18)))?(h=f.ih(t.e,Dgt(f.Tg(),d),null,h),h=zz(p,49).gh(t.e,Dgt(p.Tg(),d),null,h)):0!=(g.Bb&h6t)&&(u=-1-Dgt(t.e.Tg(),g),h=f.ih(t.e,u,null,null),!zz(p,49).eh()&&(h=zz(p,49).gh(t.e,u,null,h))),h&&h.Fi(),l}return n}function fZt(t){var e,i,r,a,o,s,c,u;for(o=new Kd(t.a.b);o.a<o.c.c.length;)(a=zz(t0(o),81)).b.c=a.g.c,a.b.d=a.g.d;for(u=new PA(RXt,RXt),e=new PA($Xt,$Xt),r=new Kd(t.a.b);r.a<r.c.c.length;)i=zz(t0(r),81),u.a=n.Math.min(u.a,i.g.c),u.b=n.Math.min(u.b,i.g.d),e.a=n.Math.max(e.a,i.g.c+i.g.b),e.b=n.Math.max(e.b,i.g.d+i.g.a);for(c=EG(t.c).a.nc();c.Ob();)s=zz(c.Pb(),46),i=zz(s.b,81),u.a=n.Math.min(u.a,i.g.c),u.b=n.Math.min(u.b,i.g.d),e.a=n.Math.max(e.a,i.g.c+i.g.b),e.b=n.Math.max(e.b,i.g.d+i.g.a);t.d=HP(new PA(u.a,u.b)),t.e=GF(new PA(e.a,e.b),u),t.a.a.c=P7(Dte,HKt,1,0,5,1),t.a.b.c=P7(Dte,HKt,1,0,5,1)}function dZt(t){var e,n,i;for(kut(fLe,Ast(Zx($ie,1),HKt,130,0,[new Oh])),n=new Ef(t),i=0;i<n.a.length;++i)mR(e=ptt(n,i).je().a,"layered")?kut(fLe,Ast(Zx($ie,1),HKt,130,0,[new uh])):mR(e,"force")?kut(fLe,Ast(Zx($ie,1),HKt,130,0,[new Ul])):mR(e,"stress")?kut(fLe,Ast(Zx($ie,1),HKt,130,0,[new Gl])):mR(e,"mrtree")?kut(fLe,Ast(Zx($ie,1),HKt,130,0,[new Ch])):mR(e,"radial")?kut(fLe,Ast(Zx($ie,1),HKt,130,0,[new mh])):mR(e,"disco")?kut(fLe,Ast(Zx($ie,1),HKt,130,0,[new Zl,new ql])):mR(e,"sporeOverlap")||mR(e,"sporeCompaction")?kut(fLe,Ast(Zx($ie,1),HKt,130,0,[new _h])):mR(e,"rectpacking")&&kut(fLe,Ast(Zx($ie,1),HKt,130,0,[new Mh]))}function gZt(t,e,n){var i,r,a,o,s,c,u,l,h,f,d,g,p,b,w;if(f=new gL(t.o),w=e.a/f.a,s=e.b/f.b,p=e.a-f.a,a=e.b-f.b,n)for(r=ZM(vTt(t,(HGt(),nwe)))===ZM((V_t(),GAe)),g=new Kd(t.j);g.a<g.c.c.length;)switch((d=zz(t0(g),11)).j.g){case 1:r||(d.n.a*=w);break;case 2:d.n.a+=p,r||(d.n.b*=s);break;case 3:r||(d.n.a*=w),d.n.b+=a;break;case 4:r||(d.n.b*=s)}for(u=new Kd(t.b);u.a<u.c.c.length;)l=(c=zz(t0(u),70)).n.a+c.o.a/2,h=c.n.b+c.o.b/2,(b=l/f.a)+(o=h/f.b)>=1&&(b-o>0&&h>=0?(c.n.a+=p,c.n.b+=a*o):b-o<0&&l>=0&&(c.n.a+=p*b,c.n.b+=a));t.o.a=e.a,t.o.b=e.b,hct(t,(HGt(),jbe),(vpt(),new VR(i=zz(Wk(VMe),9),zz(CF(i,i.length),9),0)))}function pZt(t,e,n,i,r,a){if(null!=e&&Kdt(e,LLe,DLe))throw qw(new $v("invalid scheme: "+e));if(!(t||null!=n&&-1==ZI(n,QEt(35))&&n.length>0&&(d1(0,n.length),47!=n.charCodeAt(0))))throw qw(new $v("invalid opaquePart: "+n));if(t&&(null==e||!PE(kLe,e.toLowerCase()))&&null!=n&&Kdt(n,OLe,NLe))throw qw(new $v(u8t+n));if(t&&null!=e&&PE(kLe,e.toLowerCase())&&!M_t(n))throw qw(new $v(u8t+n));if(!Gdt(i))throw qw(new $v("invalid device: "+i));if(!Rlt(r))throw qw(new $v(null==r?"invalid segments: null":"invalid segment: "+llt(r)));if(null!=a&&-1!=ZI(a,QEt(35)))throw qw(new $v("invalid query: "+a))}function bZt(t,e){var i,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y;for(LEt(e,"Calculate Graph Size",1),e.n&&t&&v0(e,c2(t),(qut(),sIe)),c=tJt,u=tJt,o=e4t,s=e4t,f=new LO((!t.a&&(t.a=new nY(YIe,t,10,11)),t.a));f.e!=f.i.gc();)p=(l=zz(kwt(f),33)).i,b=l.j,y=l.g,r=l.f,a=zz(tDt(l,(lKt(),DCe)),142),c=n.Math.min(c,p-a.b),u=n.Math.min(u,b-a.d),o=n.Math.max(o,p+y+a.c),s=n.Math.max(s,b+r+a.a);for(d=new PA(c-(g=zz(tDt(t,(lKt(),GCe)),116)).b,u-g.d),h=new LO((!t.a&&(t.a=new nY(YIe,t,10,11)),t.a));h.e!=h.i.gc();)Ant(l=zz(kwt(h),33),l.i-d.a),Mnt(l,l.j-d.b);w=o-c+(g.b+g.c),i=s-u+(g.d+g.a),Snt(t,w),Cnt(t,i),e.n&&t&&v0(e,c2(t),(qut(),sIe))}function wZt(t){var e,n,i,r,a,o,s,c,u,l;for(i=new Nw,o=new Kd(t.e.a);o.a<o.c.c.length;){for(l=0,(r=zz(t0(o),121)).k.c=P7(Dte,HKt,1,0,5,1),n=new Kd(kdt(r));n.a<n.c.c.length;)(e=zz(t0(n),213)).f&&(Kz(r.k,e),++l);1==l&&(i.c[i.c.length]=r)}for(a=new Kd(i);a.a<a.c.c.length;)for(r=zz(t0(a),121);1==r.k.c.length;){for(u=zz(t0(new Kd(r.k)),213),t.b[u.c]=u.g,s=u.d,c=u.e,n=new Kd(kdt(r));n.a<n.c.c.length;)Pht(e=zz(t0(n),213),u)||(e.f?s==e.d||c==e.e?t.b[u.c]-=t.b[e.c]-e.g:t.b[u.c]+=t.b[e.c]-e.g:r==s?e.d==r?t.b[u.c]+=e.g:t.b[u.c]-=e.g:e.d==r?t.b[u.c]-=e.g:t.b[u.c]+=e.g);v9(s.k,u),v9(c.k,u),r=s==r?u.e:u.d}}function yZt(t,e){var n,i,r,a,o,s,c,u,l,h,f;if(null==e||0==e.length)return null;if(!(a=zz(CQ(t.f,e),23))){for(r=new Rd(new Id(t.d).a.vc().Kc());r.a.Ob();)if(o=zz(r.a.Pb(),42),s=(n=zz(o.dd(),23)).f,f=e.length,mR(s.substr(s.length-f,f),e)&&(e.length==s.length||46==hW(s,s.length-e.length-1))){if(a)return null;a=n}if(!a)for(i=new Rd(new Id(t.d).a.vc().Kc());i.a.Ob();)if(o=zz(i.a.Pb(),42),null!=(h=(n=zz(o.dd(),23)).g))for(u=0,l=(c=h).length;u<l;++u)if(s=c[u],f=e.length,mR(s.substr(s.length-f,f),e)&&(e.length==s.length||46==hW(s,s.length-e.length-1))){if(a)return null;a=n}a&&mJ(t.f,e,a)}return a}function mZt(t,e){var n,i,r,a,o;for(n=new Mx,o=!1,a=0;a<e.length;a++)if(d1(a,e.length),32!=(i=e.charCodeAt(a)))o?39==i?a+1<e.length&&(d1(a+1,e.length),39==e.charCodeAt(a+1))?(n.a+=String.fromCharCode(i),++a):o=!1:n.a+=String.fromCharCode(i):ZI("GyMLdkHmsSEcDahKzZv",QEt(i))>0?(Awt(t,n,0),n.a+=String.fromCharCode(i),Awt(t,n,r=obt(e,a)),a+=r-1):39==i?a+1<e.length&&(d1(a+1,e.length),39==e.charCodeAt(a+1))?(n.a+="'",++a):o=!0:n.a+=String.fromCharCode(i);else for(Awt(t,n,0),n.a+=" ",Awt(t,n,0);a+1<e.length&&(d1(a+1,e.length),32==e.charCodeAt(a+1));)++a;Awt(t,n,0),yEt(t)}function vZt(t,e,i){var r,a,o,s,c,u,l,h,f,d,g,p,b,w;if(LEt(i,"Network simplex layering",1),t.b=e,w=4*zz(vTt(e,(HGt(),Pwe)),19).a,(b=t.b.a).c.length<1)HCt(i);else{for(p=null,a=lwt(o=IRt(t,b),0);a.b!=a.d.c;){for(r=zz(d3(a),15),c=w*AQ(n.Math.sqrt(r.gc())),WRt(Xx(Qx(Vx(z$(s=u$t(r)),c),p),!0),vat(i,1)),f=t.b.b,g=new Kd(s.a);g.a<g.c.c.length;){for(d=zz(t0(g),121);f.c.length<=d.e;)xZ(f,f.c.length,new qG(t.b));SJ(zz(d.f,10),zz(PH(f,d.e),29))}if(o.b>1)for(p=P7(LNe,hXt,25,t.b.b.c.length,15,1),h=0,l=new Kd(t.b.b);l.a<l.c.c.length;)u=zz(t0(l),29),p[h++]=u.a.c.length}b.c=P7(Dte,HKt,1,0,5,1),t.a=null,t.b=null,t.c=null,HCt(i)}}function xZt(t){var e,i,r,a,o,s,c;for(e=0,o=new Kd(t.b.a);o.a<o.c.c.length;)(r=zz(t0(o),189)).b=0,r.c=0;for(ECt(t,0),igt(t,t.g),kNt(t.c),Jv(t.c),zht(),i=$Se,FRt(nI(CUt(FRt(nI(CUt(FRt(CUt(t.c,i)),_ft(i)))),i))),CUt(t.c,$Se),qft(t,t.g),kTt(t,0),yqt(t,0),CDt(t,1),ECt(t,1),igt(t,t.d),kNt(t.c),s=new Kd(t.b.a);s.a<s.c.c.length;)r=zz(t0(s),189),e+=n.Math.abs(r.c);for(c=new Kd(t.b.a);c.a<c.c.c.length;)(r=zz(t0(c),189)).b=0,r.c=0;for(i=qSe,FRt(nI(CUt(FRt(nI(CUt(FRt(Jv(CUt(t.c,i))),_ft(i)))),i))),CUt(t.c,$Se),qft(t,t.d),kTt(t,1),yqt(t,1),CDt(t,0),Jv(t.c),a=new Kd(t.b.a);a.a<a.c.c.length;)r=zz(t0(a),189),e+=n.Math.abs(r.c);return e}function kZt(t,e){var n,i,r,a,o,s,c,u,l;if(null!=(u=e).b&&null!=t.b){for(TDt(t),Zqt(t),TDt(u),Zqt(u),n=P7(LNe,hXt,25,t.b.length+u.b.length,15,1),l=0,i=0,o=0;i<t.b.length&&o<u.b.length;)if(r=t.b[i],a=t.b[i+1],s=u.b[o],c=u.b[o+1],a<s)i+=2;else if(a>=s&&r<=c)s<=r&&a<=c?(n[l++]=r,n[l++]=a,i+=2):s<=r?(n[l++]=r,n[l++]=c,t.b[i]=c+1,o+=2):a<=c?(n[l++]=s,n[l++]=a,i+=2):(n[l++]=s,n[l++]=c,t.b[i]=c+1);else{if(!(c<r))throw qw(new pv("Token#intersectRanges(): Internal Error: ["+t.b[i]+","+t.b[i+1]+"] & ["+u.b[o]+","+u.b[o+1]+"]"));o+=2}for(;i<t.b.length;)n[l++]=t.b[i++],n[l++]=t.b[i++];t.b=P7(LNe,hXt,25,l,15,1),sqt(n,0,t.b,0,l)}}function _Zt(t){var e,i,r,a,o,s,c;for(e=new Nw,t.g=new Nw,t.d=new Nw,s=new cut(new Sd(t.f.b).a);s.b;)Kz(e,zz(zz((o=nnt(s)).dd(),46).b,81)),pL(zz(o.cd(),594).gf())?Kz(t.d,zz(o.dd(),46)):Kz(t.g,zz(o.dd(),46));for(igt(t,t.d),igt(t,t.g),t.c=new lIt(t.b),nk(t.c,(yT(),Zoe)),qft(t,t.d),qft(t,t.g),wst(e,t.c.a.b),t.e=new PA(RXt,RXt),t.a=new PA($Xt,$Xt),r=new Kd(e);r.a<r.c.c.length;)i=zz(t0(r),81),t.e.a=n.Math.min(t.e.a,i.g.c),t.e.b=n.Math.min(t.e.b,i.g.d),t.a.a=n.Math.max(t.a.a,i.g.c+i.g.b),t.a.b=n.Math.max(t.a.b,i.g.d+i.g.a);ek(t.c,new xe),c=0;do{a=xZt(t),++c}while((c<2||a>$Wt)&&c<10);ek(t.c,new ke),xZt(t),MY(t.c),fZt(t.f)}function EZt(t,e,n){var i,r,a,o,s,c,u,l,h,f;if(Hv(EB(vTt(n,(HGt(),gbe)))))for(r=new Kd(n.j);r.a<r.c.c.length;)for(s=0,c=(o=J0(zz(t0(r),11).g)).length;s<c;++s)(a=o[s]).d.i==n&&Hv(EB(vTt(a,pbe)))&&(l=a.c,(u=zz(FG(t.b,l),10))||(hct(u=gGt(l,(V_t(),XAe),l.j,-1,null,null,l.o,zz(vTt(e,Ype),103),e),(hKt(),pfe),l),WK(t.b,l,u),Kz(e.a,u)),f=a.d,(h=zz(FG(t.b,f),10))||(hct(h=gGt(f,(V_t(),XAe),f.j,1,null,null,f.o,zz(vTt(e,Ype),103),e),(hKt(),pfe),f),WK(t.b,f,h),Kz(e.a,h)),CJ(i=K5(a),zz(PH(u.j,0),11)),TJ(i,zz(PH(h.j,0),11)),JMt(t.a,a,new O$(i,e,(sit(),Hye))),zz(vTt(e,(hKt(),Jhe)),21).Fc((gBt(),fhe)))}function TZt(t,e,n){var i,r,a,o,s,c,u,l,h,f,d,g;for(LEt(n,"Label dummy 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n,i,r,a,o,s,c,u,h;for(s=!0,r=0,c=t.f[e.p],u=e.o.b+t.n,n=t.c[e.p][2],a5(t.a,c,rft(zz(PH(t.a,c),19).a-1+n)),a5(t.b,c,Zv(TB(PH(t.b,c)))-u+n*t.e),++c>=t.i?(++t.i,Kz(t.a,rft(1)),Kz(t.b,u)):(i=t.c[e.p][1],a5(t.a,c,rft(zz(PH(t.a,c),19).a+1-i)),a5(t.b,c,Zv(TB(PH(t.b,c)))+u-i*t.e)),(t.q==(lNt(),Eye)&&(zz(PH(t.a,c),19).a>t.j||zz(PH(t.a,c-1),19).a>t.j)||t.q==Sye&&(Zv(TB(PH(t.b,c)))>t.k||Zv(TB(PH(t.b,c-1)))>t.k))&&(s=!1),a=new cU(JO(fdt(e).a.Kc(),new l));bLt(a);)o=zz(Y5(a),17).c.i,t.f[o.p]==c&&(r+=zz((h=LZt(t,o)).a,19).a,s=s&&Hv(EB(h.b)));return t.f[e.p]=c,new rM(rft(r+=t.c[e.p][0]),(lN(),!!s))}function DZt(t,e,i,r,a){var o,s,c,u,l,h,f,d,g,p,b,w,y;for(f=new Pw,s=new Nw,aMt(t,i,t.d.fg(),s,f),aMt(t,r,t.d.gg(),s,f),t.b=.2*(b=qLt(gtt(new FH(null,new g1(s,16)),new So)),w=qLt(gtt(new FH(null,new g1(s,16)),new 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lZt(e),hct(e,(hKt(),Lfe),i),l2(t.a),AY(t.a,(xTt(),Foe),zz(vTt(e,Zpe),246)),AY(t.a,Roe,zz(vTt(e,Sbe),246)),AY(t.a,$oe,zz(vTt(e,Hpe),246)),AY(t.a,joe,zz(vTt(e,$be),246)),AY(t.a,zoe,Sot(zz(vTt(e,Jpe),218))),oL(t.a,NGt(e)),hct(e,Tfe,OHt(t.a,e))}function NZt(t,e,n){var i,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x;return f=t.c[e],d=t.c[n],!((g=zz(vTt(f,(hKt(),afe)),15))&&0!=g.gc()&&g.Hc(d)||(p=f.k!=(cCt(),Sse)&&d.k!=Sse,y=(b=zz(vTt(f,rfe),10))!=(w=zz(vTt(d,rfe),10)),m=!!b&&b!=f||!!w&&w!=d,v=umt(f,(kYt(),uMe)),x=umt(d,CMe),m|=umt(f,CMe)||umt(d,uMe),p&&(m&&y||v||x))||f.k==(cCt(),Mse)&&d.k==Ase||d.k==(cCt(),Mse)&&f.k==Ase)&&(l=t.c[e],a=t.c[n],r=fkt(t.e,l,a,(kYt(),AMe)),c=fkt(t.i,l,a,cMe),TNt(t.f,l,a),u=Put(t.b,l,a)+zz(r.a,19).a+zz(c.a,19).a+t.f.d,s=Put(t.b,a,l)+zz(r.b,19).a+zz(c.b,19).a+t.f.b,t.a&&(h=zz(vTt(l,pfe),11),o=zz(vTt(a,pfe),11),u+=zz((i=Zvt(t.g,h,o)).a,19).a,s+=zz(i.b,19).a),u>s)}function PZt(t,e){var i,r,a,o,s,c,u,l,h,f,d,g,p,b;for(i=zz(vTt(t,(HGt(),nwe)),98),s=t.f,o=t.d,c=s.a+o.b+o.c,u=0-o.d-t.c.b,h=s.b+o.d+o.a-t.c.b,l=new Nw,f=new Nw,a=new Kd(e);a.a<a.c.c.length;){switch(r=zz(t0(a),10),i.g){case 1:case 2:case 3:jNt(r);break;case 4:g=(d=zz(vTt(r,twe),8))?d.a:0,r.n.a=c*Zv(TB(vTt(r,(hKt(),Efe))))-g,Jot(r,!0,!1);break;case 5:b=(p=zz(vTt(r,twe),8))?p.a:0,r.n.a=Zv(TB(vTt(r,(hKt(),Efe))))-b,Jot(r,!0,!1),s.a=n.Math.max(s.a,r.n.a+r.o.a/2)}switch(zz(vTt(r,(hKt(),Xhe)),61).g){case 1:r.n.b=u,l.c[l.c.length]=r;break;case 3:r.n.b=h,f.c[f.c.length]=r}}switch(i.g){case 1:case 2:Rht(l,t),Rht(f,t);break;case 3:$ht(l,t),$ht(f,t)}}function BZt(t,e){var n,i,r,a,o,s,c,u,l,h;for(l=new Nw,h=new Ow,a=null,r=0,i=0;i<e.length;++i)switch(Rut(a,n=e[i])&&(r=Mpt(t,h,l,Rme,r)),OP(n,(hKt(),rfe))&&(a=zz(vTt(n,rfe),10)),n.k.g){case 0:for(c=HL(Rz(sdt(n,(kYt(),uMe)),new Pa));trt(c);)o=zz(S9(c),11),t.d[o.p]=r++,l.c[l.c.length]=o;for(r=Mpt(t,h,l,Rme,r),u=HL(Rz(sdt(n,CMe),new 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n,i,r,a,o,s,c,u,l,h,f,d;if(t.c=t.d,f=null==(d=EB(vTt(e,(HGt(),pwe))))||(xK(d),d),a=zz(vTt(e,(hKt(),Jhe)),21).Hc((gBt(),fhe)),n=!((r=zz(vTt(e,nwe),98))==(V_t(),YAe)||r==KAe||r==GAe),!f||!n&&a)h=new Qv(Ast(Zx(kse,1),JJt,37,0,[e]));else{for(l=new Kd(e.a);l.a<l.c.c.length;)zz(t0(l),10).p=0;for(h=new Nw,u=new Kd(e.a);u.a<u.c.c.length;)if(i=N$t(t,zz(t0(u),10),null)){for(Zot(c=new vit,e),hct(c,Ghe,zz(i.b,21)),xX(c.d,e.d),hct(c,qbe,null),s=zz(i.a,15).Kc();s.Ob();)o=zz(s.Pb(),10),Kz(c.a,o),o.a=c;h.Fc(c)}a&&(ZM(vTt(e,Ape))===ZM((qht(),fse))?t.c=t.b:t.c=t.a)}return ZM(vTt(e,Ape))!==ZM((qht(),gse))&&(CX(),h.ad(new Ne)),h}function $Zt(t){NT(t,new CEt(mk(pk(yk(gk(wk(bk(new bs,V3t),"ELK Mr. Tree"),"Tree-based algorithm provided by the Eclipse Layout Kernel. 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e,n,i,r,a,o,s;if(!t.A.dc()){if(t.A.Hc((vpt(),RMe))&&(zz(cW(t.b,(kYt(),uMe)),124).k=!0,zz(cW(t.b,CMe),124).k=!0,e=t.q!=(V_t(),KAe)&&t.q!=GAe,Nf(zz(cW(t.b,cMe),124),e),Nf(zz(cW(t.b,AMe),124),e),Nf(t.g,e),t.A.Hc($Me)&&(zz(cW(t.b,uMe),124).j=!0,zz(cW(t.b,CMe),124).j=!0,zz(cW(t.b,cMe),124).k=!0,zz(cW(t.b,AMe),124).k=!0,t.g.k=!0)),t.A.Hc(FMe))for(t.a.j=!0,t.a.k=!0,t.g.j=!0,t.g.k=!0,s=t.B.Hc((e$t(),GMe)),a=0,o=(r=nwt()).length;a<o;++a)i=r[a],(n=zz(cW(t.i,i),306))&&(sbt(i)?(n.j=!0,n.k=!0):(n.j=!s,n.k=!s));t.A.Hc(BMe)&&t.B.Hc((e$t(),YMe))&&(t.g.j=!0,t.g.j=!0,t.a.j||(t.a.j=!0,t.a.k=!0,t.a.e=!0))}}function VZt(t){var e,n,i,r,a,o,s,c,u,l,h,f,d,g,p;for(n=new Kd(t.e.b);n.a<n.c.c.length;)for(r=new Kd(zz(t0(n),29).a);r.a<r.c.c.length;)if(i=zz(t0(r),10),c=(h=t.i[i.p]).a.e,s=h.d.e,i.n.b=c,p=s-c-i.o.b,e=Dqt(i),gyt(),l=(i.q?i.q:(CX(),CX(),hne))._b((HGt(),Fbe))?zz(vTt(i,Fbe),197):zz(vTt(yK(i),Rbe),197),e&&(l==hye||l==lye)&&(i.o.b+=p),e&&(l==dye||l==hye||l==lye)){for(d=new 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Kd(t);f.a<f.c.c.length;){for(tP((h=zz(t0(f),10)).n),tP(h.o),W6(h.f),XFt(h),sFt(h),g=new Kd(h.j);g.a<g.c.c.length;){for(tP((d=zz(t0(g),11)).n),tP(d.a),tP(d.o),ZAt(d,smt(d.j)),(r=zz(vTt(d,(HGt(),iwe)),19))&&hct(d,iwe,rft(-r.a)),i=new Kd(d.g);i.a<i.c.c.length;){for(e=lwt((n=zz(t0(i),17)).a,0);e.b!=e.d.c;)tP(zz(d3(e),8));if(o=zz(vTt(n,ybe),74))for(a=lwt(o,0);a.b!=a.d.c;)tP(zz(d3(a),8));for(u=new Kd(n.b);u.a<u.c.c.length;)tP((s=zz(t0(u),70)).n),tP(s.o)}for(l=new Kd(d.f);l.a<l.c.c.length;)tP((s=zz(t0(l),70)).n),tP(s.o)}for(h.k==(cCt(),Tse)&&(hct(h,(hKt(),Xhe),smt(zz(vTt(h,Xhe),61))),pPt(h)),c=new Kd(h.b);c.a<c.c.c.length;)XFt(s=zz(t0(c),70)),tP(s.o),tP(s.n)}}function RUt(t,e){var n,i,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v;for(t.e=e,s=eIt(e),m=new Nw,i=new Kd(s);i.a<i.c.c.length;){for(n=zz(t0(i),15),v=new Nw,m.c[m.c.length]=v,c=new Fy,f=n.Kc();f.Ob();){for(a=JFt(t,h=zz(f.Pb(),33),!0,0,0),v.c[v.c.length]=a,new PA(d=h.i,g=h.j),!h.n&&(h.n=new nY(UIe,h,1,7)),l=new 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lR(jIe,i,9,10)),i.g).i&&(s=new SM(t,p=new Af),n5((!i.g&&(i.g=new lR(jIe,i,9,10)),i.g),s),ret(d,j6t,p))}function jUt(t){var e,i,r,a,o,s,c;for(HB(),r=t.f.n,s=_G(t.r).a.nc();s.Ob();){if(a=0,(o=zz(s.Pb(),111)).b.Xe((lKt(),oSe))&&(a=Zv(TB(o.b.We(oSe))))<0)switch(o.b.Hf().g){case 1:r.d=n.Math.max(r.d,-a);break;case 3:r.a=n.Math.max(r.a,-a);break;case 2:r.c=n.Math.max(r.c,-a);break;case 4:r.b=n.Math.max(r.b,-a)}if(qU(t.u))switch(e=mat(o.b,a),c=!zz(t.e.We(HCe),174).Hc((e$t(),qMe)),i=!1,o.b.Hf().g){case 1:i=e>r.d,r.d=n.Math.max(r.d,e),c&&i&&(r.d=n.Math.max(r.d,r.a),r.a=r.d+a);break;case 3:i=e>r.a,r.a=n.Math.max(r.a,e),c&&i&&(r.a=n.Math.max(r.a,r.d),r.d=r.a+a);break;case 2:i=e>r.c,r.c=n.Math.max(r.c,e),c&&i&&(r.c=n.Math.max(r.b,r.c),r.b=r.c+a);break;case 4:i=e>r.b,r.b=n.Math.max(r.b,e),c&&i&&(r.b=n.Math.max(r.b,r.c),r.c=r.b+a)}}}function zUt(t){var e,n,i,r,a,o,s,c,u,l,h;for(u=new Kd(t);u.a<u.c.c.length;){switch(c=zz(t0(u),10),a=null,(o=zz(vTt(c,(HGt(),xbe)),163)).g){case 1:case 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r,a,o,s,c,u,l,h,f,d,g,p,b,w,y;if(b=t.n,w=t.o,d=t.d,f=Zv(TB(ipt(t,(HGt(),wwe)))),e){for(h=f*(e.gc()-1),g=0,u=e.Kc();u.Ob();)h+=(s=zz(u.Pb(),10)).o.a,g=n.Math.max(g,s.o.b);for(y=b.a-(h-w.a)/2,o=b.b-d.d+g,a=r=w.a/(e.gc()+1),c=e.Kc();c.Ob();)(s=zz(c.Pb(),10)).n.a=y,s.n.b=o-s.o.b,y+=s.o.a+f,(l=FOt(s)).n.a=s.o.a/2-l.a.a,l.n.b=s.o.b,(p=zz(vTt(s,(hKt(),Rhe)),11)).e.c.length+p.g.c.length==1&&(p.n.a=a-p.a.a,p.n.b=0,AJ(p,t)),a+=r}if(i){for(h=f*(i.gc()-1),g=0,u=i.Kc();u.Ob();)h+=(s=zz(u.Pb(),10)).o.a,g=n.Math.max(g,s.o.b);for(y=b.a-(h-w.a)/2,o=b.b+w.b+d.a-g,a=r=w.a/(i.gc()+1),c=i.Kc();c.Ob();)(s=zz(c.Pb(),10)).n.a=y,s.n.b=o,y+=s.o.a+f,(l=FOt(s)).n.a=s.o.a/2-l.a.a,l.n.b=0,(p=zz(vTt(s,(hKt(),Rhe)),11)).e.c.length+p.g.c.length==1&&(p.n.a=a-p.a.a,p.n.b=w.b,AJ(p,t)),a+=r}}function XUt(t,e){var i,r,a,o,s,c;if(zz(vTt(e,(hKt(),Jhe)),21).Hc((gBt(),fhe))){for(c=new Kd(e.a);c.a<c.c.c.length;)(o=zz(t0(c),10)).k==(cCt(),Ase)&&(a=zz(vTt(o,(HGt(),Abe)),142),t.c=n.Math.min(t.c,o.n.a-a.b),t.a=n.Math.max(t.a,o.n.a+o.o.a+a.c),t.d=n.Math.min(t.d,o.n.b-a.d),t.b=n.Math.max(t.b,o.n.b+o.o.b+a.a));for(s=new Kd(e.a);s.a<s.c.c.length;)if((o=zz(t0(s),10)).k!=(cCt(),Ase))switch(o.k.g){case 2:if((r=zz(vTt(o,(HGt(),xbe)),163))==(Tdt(),jfe)){o.n.a=t.c-10,Qvt(o,new Zn).Jb(new rp(o));break}if(r==qfe){o.n.a=t.a+10,Qvt(o,new Un).Jb(new ap(o));break}if((i=zz(vTt(o,ife),303))==(U9(),Ahe)){dHt(o).Jb(new op(o)),o.n.b=t.d-10;break}if(i==Che){dHt(o).Jb(new sp(o)),o.n.b=t.b+10;break}break;default:throw qw(new $v("The node type "+o.k+" is not supported by the "+Qce))}}}function VUt(t,e,n,i){var r,a,o,s,c,u,l,h,f,d,g,p;for(c=new PA(i.i+i.g/2,i.j+i.f/2),f=Kqt(i),d=zz(tDt(e,(HGt(),nwe)),98),p=zz(tDt(i,swe),61),zM(dwt(i),ewe)||(g=0==i.i&&0==i.j?0:nTt(i,p),Qwt(i,ewe,g)),hct(r=gGt(i,d,p,f,new PA(e.g,e.f),c,new PA(i.g,i.f),zz(vTt(n,Ype),103),n),(hKt(),pfe),i),qf(a=zz(PH(r.j,0),11),_$t(i)),hct(r,awe,(dMt(),edt(rMe))),l=zz(tDt(e,awe),174).Hc(nMe),s=new LO((!i.n&&(i.n=new nY(UIe,i,1,7)),i.n));s.e!=s.i.gc();)if(!Hv(EB(tDt(o=zz(kwt(s),137),Zbe)))&&o.a&&(h=Hlt(o),Kz(a.f,h),!l))switch(u=0,qU(zz(tDt(e,awe),21))&&(u=OMt(new PA(o.i,o.j),new PA(o.g,o.f),new PA(i.g,i.f),0,p)),p.g){case 2:case 4:h.o.a=u;break;case 1:case 3:h.o.b=u}hct(r,Awe,TB(tDt(QQ(e),Awe))),hct(r,Mwe,TB(tDt(QQ(e),Mwe))),hct(r,Cwe,TB(tDt(QQ(e),Cwe))),Kz(n.a,r),WK(t.a,i,r)}function QUt(t,e,n){var i,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m;for(LEt(n,"Processor arrange level",1),l=0,CX(),jrt(e,new ow((ZHt(),ixe))),a=e.b,s=lwt(e,e.b),u=!0;u&&s.b.b!=s.d.a;)b=zz(Y0(s),86),0==zz(vTt(b,ixe),19).a?--a:u=!1;if(o=new t$(new u1(e,0,a)),c=new t$(new u1(e,a,e.b)),0==o.b)for(d=lwt(c,0);d.b!=d.d.c;)hct(zz(d3(d),86),lxe,rft(l++));else for(h=o.b,m=lwt(o,0);m.b!=m.d.c;){for(hct(y=zz(d3(m),86),lxe,rft(l++)),QUt(t,i=Bst(y),vat(n,1/h|0)),jrt(i,XK(new ow(lxe))),f=new 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c,u,l,h,f,d,g,p,b,w,y,m;for(f=null,r==(pQ(),Ove)?f=e:r==Nve&&(f=i),p=f.a.ec().Kc();p.Ob();){for(g=zz(p.Pb(),11),b=Dct(Ast(Zx(STe,1),lWt,8,0,[g.i.n,g.n,g.a])).b,m=new Fy,c=new Fy,l=new m6(g.b);vD(l.a)||vD(l.b);)if(Hv(EB(vTt(u=zz(vD(l.a)?t0(l.a):t0(l.b),17),(hKt(),Afe))))==a&&-1!=_9(o,u,0)){if(w=u.d==g?u.c:u.d,y=Dct(Ast(Zx(STe,1),lWt,8,0,[w.i.n,w.n,w.a])).b,n.Math.abs(y-b)<.2)continue;y<b?e.a._b(w)?EY(m,new rM(Ove,u)):EY(m,new rM(Nve,u)):e.a._b(w)?EY(c,new rM(Ove,u)):EY(c,new rM(Nve,u))}if(m.a.gc()>1)for(n5(m,new uA(t,d=new hHt(g,m,r))),s.c[s.c.length]=d,h=m.a.ec().Kc();h.Ob();)v9(o,zz(h.Pb(),46).b);if(c.a.gc()>1)for(n5(c,new lA(t,d=new hHt(g,c,r))),s.c[s.c.length]=d,h=c.a.ec().Kc();h.Ob();)v9(o,zz(h.Pb(),46).b)}}function nYt(t){NT(t,new CEt(pk(yk(gk(wk(bk(new bs,p4t),"ELK Radial"),'A radial layout provider which is based on the algorithm of Peter Eades published in "Drawing free trees.", published by International Institute for Advanced Study of Social Information Science, Fujitsu Limited in 1991. The radial layouter takes a tree and places the nodes in radial order around the root. 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Kd(s.j);g.a<g.c.c.length;)r+=(f=zz(t0(g),11)).e.c.length+f.g.c.length,1==f.e.c.length&&(u=(i=zz(PH(f.e,0),17)).c),1==f.g.c.length&&(u=(i=zz(PH(f.g,0),17)).d);if(1!=r||u.e.c.length+u.g.c.length!=1||Hv(EB(vTt(u.i,Epe)))){for(b=new Nw,d=new Kd(s.j);d.a<d.c.c.length;){for(h=new Kd((f=zz(t0(d),11)).g);h.a<h.c.c.length;)0==(l=zz(t0(h),17)).d.g.c.length||(b.c[b.c.length]=l);for(o=new Kd(f.e);o.a<o.c.c.length;)0==(a=zz(t0(o),17)).c.e.c.length||(b.c[b.c.length]=a)}for(p=new Kd(b);p.a<p.c.c.length;)nzt(zz(t0(p),17),!0)}else eGt(s,i,u,u.i),LY(c)}e.n&&Iq(e,"Found "+n+" comment boxes"),HCt(e)}function uYt(t,e,n,i){var r,a,o,s,c,u,l,h,f,d,g,p;if(f=Zv(TB(vTt(t,(HGt(),Awe)))),d=Zv(TB(vTt(t,Mwe))),h=Zv(TB(vTt(t,Cwe))),s=t.o,o=(a=zz(PH(t.j,0),11)).n,p=TSt(a,h)){if(e.Hc((dMt(),nMe)))switch(zz(vTt(t,(hKt(),Xhe)),61).g){case 1:p.c=(s.a-p.b)/2-o.a,p.d=d;break;case 3:p.c=(s.a-p.b)/2-o.a,p.d=-d-p.a;break;case 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ll),FI(Vee,new hl),FI(Vee,new fl),FI(Vee,new dl),FI(Rte,new gl),FI(Rte,new pl),FI(Vee,new bl),FI(Vee,new yl),FI(Vee,new ml),FI(Vee,new vl),FI(Vee,new xl),FI(Vee,new kl),FI(jee,new _l),FI(Vee,new El),FI(Vee,new Tl),FI(Vee,new Cl),FI(jee,new Sl),FI(Ree,new Ml),FI(Vee,new Il),FI(Dee,new Ll)}function hYt(t,e){var n,i,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y;if((h=e.length)>0&&(d1(0,e.length),64!=(s=e.charCodeAt(0)))){if(37==s&&(c=!1,0!=(l=e.lastIndexOf("%"))&&(l==h-1||(d1(l+1,e.length),c=46==e.charCodeAt(l+1))))){if(y=mR("%",o=e.substr(1,l-1))?null:OYt(o),i=0,c)try{i=d$t(e.substr(l+2),jWt,FKt)}catch(t){throw aO(t=dst(t),127)?qw(new O9(t)):qw(t)}for(p=Ert(t.Wg());p.Ob();)if(aO(d=Cot(p),510)&&(w=(r=zz(d,590)).d,(null==y?null==w:mR(y,w))&&0==i--))return r;return null}if(f=-1==(u=e.lastIndexOf("."))?e:e.substr(0,u),n=0,-1!=u)try{n=d$t(e.substr(u+1),jWt,FKt)}catch(t){if(!aO(t=dst(t),127))throw 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T2(t,0),hI(E,rft(t.c.length)),w=zz(d3(_=lwt(E,0)),19).a,hI(k,d),x=lwt(k,0),v=0;l.b<l.d.gc();)l.b==w&&(M=i.b,v=Zv(TB(d3(x))),w=zz(d3(_),19).a),SP(l.b<l.d.gc()),y=(c=zz(l.d.Xb(l.c=l.b++),33)).f,Cnt(c,v),p=v,l.b==w&&(b=h-M-i.c,m=c.g,Snt(c,b),dAt(c,new PA(b,p),new PA(m,y))),M+=c.g+e;return new PA(h,S)}function ZYt(t,e){var i,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x,k,_,E,T,C;for(LEt(e,"Compound graph postprocessor",1),i=Hv(EB(vTt(t,(HGt(),Bwe)))),c=zz(vTt(t,(hKt(),qhe)),224),h=new Fy,y=c.ec().Kc();y.Ob();){for(w=zz(y.Pb(),17),s=new e$(c.cc(w)),CX(),mD(s,new $g(t)),k=oat((f1(0,s.c.length),zz(s.c[0],243))),E=sat(zz(PH(s,s.c.length-1),243)),v=k.i,m=pot(E.i,v)?v.e:yK(v),f=Dwt(w,s),vX(w.a),d=null,o=new Kd(s);o.a<o.c.c.length;)a=zz(t0(o),243),LSt(b=new Zk,a.a,m),g=a.b,Wut(r=new xm,0,g.a),tnt(r,b),x=new gL(b1(g.c)),_=new 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1:zrt(l,e.e.a),Bq(l,e.i.n),zrt(l,iot(e.j.a)),Bq(l,e.a.n),zrt(l,e.f.a);break;default:zrt(l,e.e.a),zrt(l,iot(e.j.a)),zrt(l,e.f.a)}vX(e.f.a),zrt(e.f.a,l),CJ(e.f,e.e.c),s=zz(vTt(e.e,(HGt(),ybe)),74),u=zz(vTt(e.j,ybe),74),c=zz(vTt(e.f,ybe),74),(s||u||c)&&(SY(h=new xm,c),SY(h,u),SY(h,s),hct(e.f,ybe,h)),CJ(e.j,null),TJ(e.j,null),CJ(e.e,null),TJ(e.e,null),SJ(e.a,null),SJ(e.i,null),e.g&&YYt(t,e.g)}function GYt(t){var e,n,i,r,a,o,s,c,u,l,h,f,d,g,p,b;if(Ajt(),null==t)return null;if((g=gft(a=W9(t)))%4!=0)return null;if(0==(p=g/4|0))return P7(NNe,m6t,25,0,15,1);for(h=null,e=0,n=0,i=0,r=0,o=0,s=0,c=0,u=0,d=0,f=0,l=0,h=P7(NNe,m6t,25,3*p,15,1);d<p-1;d++){if(!(W_(o=a[l++])&&W_(s=a[l++])&&W_(c=a[l++])&&W_(u=a[l++])))return null;e=KOe[o],n=KOe[s],i=KOe[c],r=KOe[u],h[f++]=(e<<2|n>>4)<<24>>24,h[f++]=((15&n)<<4|i>>2&15)<<24>>24,h[f++]=(i<<6|r)<<24>>24}return 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gL(b.i.n)).a=Dct(Ast(Zx(STe,1),lWt,8,0,[y.i.n,y.n,y.a])).a,Bq(g.a,m),(m=new gL(p.i.n)).a=Dct(Ast(Zx(STe,1),lWt,8,0,[w.i.n,w.n,w.a])).a,Bq(g.a,m);else{if(r.j.c.length>=2){for(d=!0,n=zz(t0(l=new Kd(r.j)),11),h=null;l.a<l.c.c.length;)if(h=n,n=zz(t0(l),11),!Pht(vTt(h,pfe),vTt(n,pfe))){d=!1;break}}else d=!1;for(u=new Kd(r.j);u.a<u.c.c.length;)0==(c=zz(t0(u),11)).e.c.length||cPt(c,d),0==c.g.c.length||uPt(c,d)}SJ(r,null)}HCt(e)}function WYt(t,e,i){var r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x,k,_,E,T;return 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n,i,r,a,o,s,c,u,h,f,d,g,p,b,w,y,m;for((n=new hyt(e)).a||w$t(e),u=dFt(e),c=new wQ,b=new VPt,p=new Kd(e.a);p.a<p.c.c.length;)for(r=new cU(JO(ddt(zz(t0(p),10)).a.Kc(),new l));bLt(r);)(i=zz(Y5(r),17)).c.i.k!=(cCt(),Tse)&&i.d.i.k!=Tse||JMt(c,cwt((h=dUt(t,i,u,b)).d),h.a);for(o=new Nw,m=zz(vTt(n.c,(hKt(),Ghe)),21).Kc();m.Ob();){switch(y=zz(m.Pb(),61),g=b.c[y.g],d=b.b[y.g],s=b.a[y.g],a=null,w=null,y.g){case 4:a=new YW(t.d.a,g,u.b.a-t.d.a,d-g),w=new YW(t.d.a,g,s,d-g),Uq(u,new PA(a.c+a.b,a.d)),Uq(u,new PA(a.c+a.b,a.d+a.a));break;case 2:a=new YW(u.a.a,g,t.c.a-u.a.a,d-g),w=new YW(t.c.a-s,g,s,d-g),Uq(u,new PA(a.c,a.d)),Uq(u,new PA(a.c,a.d+a.a));break;case 1:a=new YW(g,t.d.b,d-g,u.b.b-t.d.b),w=new YW(g,t.d.b,d-g,s),Uq(u,new PA(a.c,a.d+a.a)),Uq(u,new PA(a.c+a.b,a.d+a.a));break;case 3:a=new YW(g,u.a.b,d-g,t.c.b-u.a.b),w=new YW(g,t.c.b-s,d-g,s),Uq(u,new PA(a.c,a.d)),Uq(u,new PA(a.c+a.b,a.d))}a&&((f=new tm).d=y,f.b=a,f.c=w,f.a=QX(zz(l6(c,cwt(y)),21)),o.c[o.c.length]=f)}return wst(n.b,o),n.d=qlt(eZt(u)),n}function uGt(t,e,i){var r,a,o,s,c,u,l,h,f,d,g,p;if(null==i.p[e.p]){c=!0,i.p[e.p]=0,s=e,p=i.o==(cJ(),rve)?$Xt:RXt;do{a=t.b.e[s.p],o=s.c.a.c.length,i.o==rve&&a>0||i.o==ave&&a<o-1?(u=null,l=null,u=i.o==ave?zz(PH(s.c.a,a+1),10):zz(PH(s.c.a,a-1),10),uGt(t,l=i.g[u.p],i),p=t.e.bg(p,e,s),i.j[e.p]==e&&(i.j[e.p]=i.j[l.p]),i.j[e.p]==i.j[l.p]?(g=RD(t.d,s,u),i.o==ave?(r=Zv(i.p[e.p]),f=Zv(i.p[l.p])+Zv(i.d[u.p])-u.d.d-g-s.d.a-s.o.b-Zv(i.d[s.p]),c?(c=!1,i.p[e.p]=n.Math.min(f,p)):i.p[e.p]=n.Math.min(r,n.Math.min(f,p))):(r=Zv(i.p[e.p]),f=Zv(i.p[l.p])+Zv(i.d[u.p])+u.o.b+u.d.a+g+s.d.d-Zv(i.d[s.p]),c?(c=!1,i.p[e.p]=n.Math.max(f,p)):i.p[e.p]=n.Math.max(r,n.Math.max(f,p)))):(g=Zv(TB(vTt(t.a,(HGt(),Iwe)))),d=krt(t,i.j[e.p]),h=krt(t,i.j[l.p]),i.o==ave?Y1(d,h,Zv(i.p[e.p])+Zv(i.d[s.p])+s.o.b+s.d.a+g-(Zv(i.p[l.p])+Zv(i.d[u.p])-u.d.d)):Y1(d,h,Zv(i.p[e.p])+Zv(i.d[s.p])-s.d.d-Zv(i.p[l.p])-Zv(i.d[u.p])-u.o.b-u.d.a-g))):p=t.e.bg(p,e,s),s=i.a[s.p]}while(s!=e);Iy(t.e,e)}}function lGt(t,e,n){var i,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y;for(h=e,l=new wQ,f=new wQ,a=N2(h,B6t),UCt((i=new hX(t,n,l,f)).a,i.b,i.c,i.d,a),p=(l.i||(l.i=new qO(l,l.c))).Kc();p.Ob();)for(g=zz(p.Pb(),202),s=zz(l6(l,g),21).Kc();s.Ob();){if(o=s.Pb(),!(d=zz(lnt(t.d,o),202)))throw r=F2(h,Z6t),qw(new nx(X6t+o+V6t+r+W6t));!g.e&&(g.e=new lR(jIe,g,10,9)),h8(g.e,d)}for(w=(f.i||(f.i=new qO(f,f.c))).Kc();w.Ob();)for(b=zz(w.Pb(),202),u=zz(l6(f,b),21).Kc();u.Ob();){if(c=u.Pb(),!(d=zz(lnt(t.d,c),202)))throw r=F2(h,Z6t),qw(new nx(X6t+c+V6t+r+W6t));!b.g&&(b.g=new lR(jIe,b,9,10)),h8(b.g,d)}!n.b&&(n.b=new lR(RIe,n,4,7)),0!=n.b.i&&(!n.c&&(n.c=new lR(RIe,n,5,8)),0!=n.c.i)&&(!n.b&&(n.b=new lR(RIe,n,4,7)),n.b.i<=1&&(!n.c&&(n.c=new lR(RIe,n,5,8)),n.c.i<=1))&&1==(!n.a&&(n.a=new nY(jIe,n,6,6)),n.a).i&&(Syt(y=zz(Wet((!n.a&&(n.a=new nY(jIe,n,6,6)),n.a),0),202))||Ayt(y)||(Nit(y,zz(Wet((!n.b&&(n.b=new lR(RIe,n,4,7)),n.b),0),82)),Pit(y,zz(Wet((!n.c&&(n.c=new lR(RIe,n,5,8)),n.c),0),82))))}function hGt(t){var e,i,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x,k,_,E,T,C;for(v=0,x=(m=t.a).length;v<x;++v){for(y=m[v],u=FKt,l=FKt,g=new Kd(y.e);g.a<g.c.c.length;)(o=(f=zz(t0(g),10)).c?_9(f.c.a,f,0):-1)>0?(h=zz(PH(f.c.a,o-1),10),E=RD(t.b,f,h),b=f.n.b-f.d.d-(h.n.b+h.o.b+h.d.a+E)):b=f.n.b-f.d.d,u=n.Math.min(b,u),o<f.c.a.c.length-1?(h=zz(PH(f.c.a,o+1),10),E=RD(t.b,f,h),w=h.n.b-h.d.d-(f.n.b+f.o.b+f.d.a+E)):w=2*f.n.b,l=n.Math.min(w,l);for(c=FKt,a=!1,C=new Kd((r=zz(PH(y.e,0),10)).j);C.a<C.c.c.length;)for(T=zz(t0(C),11),p=r.n.b+T.n.b+T.a.b,i=new Kd(T.e);i.a<i.c.c.length;)e=(k=zz(t0(i),17).c).i.n.b+k.n.b+k.a.b-p,n.Math.abs(e)<n.Math.abs(c)&&n.Math.abs(e)<(e<0?u:l)&&(c=e,a=!0);for(_=new Kd((s=zz(PH(y.e,y.e.c.length-1),10)).j);_.a<_.c.c.length;)for(k=zz(t0(_),11),p=s.n.b+k.n.b+k.a.b,i=new Kd(k.g);i.a<i.c.c.length;)e=(T=zz(t0(i),17).d).i.n.b+T.n.b+T.a.b-p,n.Math.abs(e)<n.Math.abs(c)&&n.Math.abs(e)<(e<0?u:l)&&(c=e,a=!0);if(a&&0!=c)for(d=new Kd(y.e);d.a<d.c.c.length;)(f=zz(t0(d),10)).n.b+=c}}function fGt(t,e,n){var i,r,a,o,s,c,u,l,h,f,d,g,p,b;if(lY(t.a,e)){if(jE(zz(FG(t.a,e),53),n))return 1}else WK(t.a,e,new Fy);if(lY(t.a,n)){if(jE(zz(FG(t.a,n),53),e))return-1}else WK(t.a,n,new Fy);if(lY(t.e,e)){if(jE(zz(FG(t.e,e),53),n))return-1}else WK(t.e,e,new Fy);if(lY(t.e,n)){if(jE(zz(FG(t.a,n),53),e))return 1}else WK(t.e,n,new Fy);if(t.c==(vct(),Pye)||!OP(e,(hKt(),gfe))||!OP(n,(hKt(),gfe))){if(c=zz(_N(T4(Vct(LW(new FH(null,new g1(e.j,16)),new ua)),new la)),11),l=zz(_N(T4(Vct(LW(new FH(null,new g1(n.j,16)),new ha)),new fa)),11),c&&l){if(s=c.i,u=l.i,s&&s==u){for(f=new Kd(s.j);f.a<f.c.c.length;){if((h=zz(t0(f),11))==c)return sRt(t,n,e),-1;if(h==l)return sRt(t,e,n),1}return _D(r_t(t,e),r_t(t,n))}for(p=0,b=(g=t.d).length;p<b;++p){if((d=g[p])==s)return sRt(t,n,e),-1;if(d==u)return sRt(t,e,n),1}}if(!OP(e,(hKt(),gfe))||!OP(n,gfe))return(r=r_t(t,e))>(o=r_t(t,n))?sRt(t,e,n):sRt(t,n,e),r<o?-1:r>o?1:0}return(i=zz(vTt(e,(hKt(),gfe)),19).a)>(a=zz(vTt(n,gfe),19).a)?sRt(t,e,n):sRt(t,n,e),i<a?-1:i>a?1:0}function dGt(t,e,n,i){var r,a,o,s,c,u,l,h,f,d,g,p;if(Hv(EB(tDt(e,(lKt(),UCe)))))return CX(),CX(),lne;if(c=0!=(!e.a&&(e.a=new nY(YIe,e,10,11)),e.a).i,u=!(l=xMt(e)).dc(),c||u){if(!(r=zz(tDt(e,mSe),149)))throw qw(new rx("Resolved algorithm is not set; apply a LayoutAlgorithmResolver before computing layout."));if(p=IA(r,(hLt(),tLe)),Pbt(e),!c&&u&&!p)return CX(),CX(),lne;if(s=new Nw,ZM(tDt(e,_Ce))===ZM((cht(),wAe))&&(IA(r,VIe)||IA(r,XIe)))for(f=yFt(t,e),zrt(d=new VE,(!e.a&&(e.a=new nY(YIe,e,10,11)),e.a));0!=d.b;)Pbt(h=zz(0==d.b?null:(SP(0!=d.b),Det(d,d.a.a)),33)),ZM(tDt(h,_Ce))===ZM(mAe)||S7(h,nCe)&&!k5(r,tDt(h,mSe))?(wst(s,dGt(t,h,n,i)),Qwt(h,_Ce,mAe),$Rt(h)):zrt(d,(!h.a&&(h.a=new nY(YIe,h,10,11)),h.a));else for(f=(!e.a&&(e.a=new nY(YIe,e,10,11)),e.a).i,o=new LO((!e.a&&(e.a=new nY(YIe,e,10,11)),e.a));o.e!=o.i.gc();)wst(s,dGt(t,a=zz(kwt(o),33),n,i)),$Rt(a);for(g=new Kd(s);g.a<g.c.c.length;)Qwt(zz(t0(g),79),UCe,(lN(),!0));return Gbt(e,r,vat(i,f)),p$t(s),u&&p?l:(CX(),CX(),lne)}return CX(),CX(),lne}function gGt(t,e,n,i,r,a,o,s,c){var u,l,h,f,d,g,p;switch(d=n,zf(l=new Oyt(c),(cCt(),Tse)),hct(l,(hKt(),Vhe),o),hct(l,(HGt(),nwe),(V_t(),GAe)),p=Zv(TB(t.We(ewe))),hct(l,ewe,p),AJ(h=new MCt,l),e!=XAe&&e!=VAe||(d=i>=0?hgt(s):Tft(hgt(s)),t.Ye(swe,d)),u=new Zk,f=!1,t.Xe(twe)?(qP(u,zz(t.We(twe),8)),f=!0):vO(u,o.a/2,o.b/2),d.g){case 4:hct(l,xbe,(Tdt(),jfe)),hct(l,Zhe,(Jst(),Dle)),l.o.b=o.b,p<0&&(l.o.a=-p),ZAt(h,(kYt(),cMe)),f||(u.a=o.a),u.a-=o.a;break;case 2:hct(l,xbe,(Tdt(),qfe)),hct(l,Zhe,(Jst(),Ile)),l.o.b=o.b,p<0&&(l.o.a=-p),ZAt(h,(kYt(),AMe)),f||(u.a=0);break;case 1:hct(l,ife,(U9(),Ahe)),l.o.a=o.a,p<0&&(l.o.b=-p),ZAt(h,(kYt(),CMe)),f||(u.b=o.b),u.b-=o.b;break;case 3:hct(l,ife,(U9(),Che)),l.o.a=o.a,p<0&&(l.o.b=-p),ZAt(h,(kYt(),uMe)),f||(u.b=0)}if(qP(h.n,u),hct(l,twe,u),e==YAe||e==KAe||e==GAe){if(g=0,e==YAe&&t.Xe(iwe))switch(d.g){case 1:case 2:g=zz(t.We(iwe),19).a;break;case 3:case 4:g=-zz(t.We(iwe),19).a}else switch(d.g){case 4:case 2:g=a.b,e==KAe&&(g/=r.b);break;case 1:case 3:g=a.a,e==KAe&&(g/=r.a)}hct(l,Efe,g)}return hct(l,Xhe,d),l}function pGt(t){var e,n,i,r,a,o,s,c,u,h,f,d,g,p,b,w,y,m,v,x,k,_;if((n=Zv(TB(vTt(t.a.j,(HGt(),$pe)))))<-1||!t.a.i||OR(zz(vTt(t.a.o,nwe),98))||sdt(t.a.o,(kYt(),cMe)).gc()<2&&sdt(t.a.o,AMe).gc()<2)return!0;if(t.a.c.Rf())return!1;for(v=0,m=0,y=new Nw,c=0,u=(s=t.a.e).length;c<u;++c){for(d=0,p=(f=s[c]).length;d<p;++d)if((h=f[d]).k!=(cCt(),Mse)){for(i=t.b[h.c.p][h.p],h.k==Tse?(i.b=1,zz(vTt(h,(hKt(),pfe)),11).j==(kYt(),cMe)&&(m+=i.a)):(_=sdt(h,(kYt(),AMe))).dc()||!eO(_,new Na)?i.c=1:((r=sdt(h,cMe)).dc()||!eO(r,new Oa))&&(v+=i.a),o=new cU(JO(ddt(h).a.Kc(),new l));bLt(o);)a=zz(Y5(o),17),v+=i.c,m+=i.b,G7(t,i,a.d.i);for(k=new cU(new KO((b=Wnt(Ast(Zx(Bte,1),HKt,20,0,[sdt(h,(kYt(),uMe)),sdt(h,CMe)]))).a.length,b.a));bLt(k);)x=zz(Y5(k),11),(w=zz(vTt(x,(hKt(),_fe)),10))&&(v+=i.c,m+=i.b,G7(t,i,w))}else y.c[y.c.length]=h;for(g=new Kd(y);g.a<g.c.c.length;)for(h=zz(t0(g),10),i=t.b[h.c.p][h.p],o=new cU(JO(ddt(h).a.Kc(),new 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PA(e.a,r.d.d),r,o)).f.a=!0,b.a=o.d,p.c[p.c.length]=b),o.d.j==CMe&&((b=new Azt(e,new PA(e.a,r.d.d+r.d.a),r,o)).f.d=!0,b.a=o.d,p.c[p.c.length]=b))}return p}function SGt(t,e,n){var i,r,a,o,s,c,u;if(LEt(n,"Network simplex node placement",1),t.e=e,t.n=zz(vTt(e,(hKt(),Lfe)),304),uHt(t),R_t(t),QE(gtt(new FH(null,new g1(t.e.b,16)),new qa),new ab(t)),QE(LW(gtt(LW(gtt(new FH(null,new g1(t.e.b,16)),new eo),new no),new io),new ro),new rb(t)),Hv(EB(vTt(t.e,(HGt(),Pbe))))&&(LEt(a=vat(n,1),"Straight Edges Pre-Processing",1),_Ut(t),HCt(a)),Cyt(t.f),r=zz(vTt(e,Pwe),19).a*t.f.a.c.length,WRt(Xx(Vx(z$(t.f),r),!1),vat(n,1)),0!=t.d.a.gc()){for(LEt(a=vat(n,1),"Flexible Where Space Processing",1),o=zz(DN(IU(DW(new FH(null,new g1(t.f.a,16)),new Ha),new Ba)),19).a,s=zz(DN(MU(DW(new FH(null,new g1(t.f.a,16)),new Za),new Fa)),19).a-o,c=LN(new Hy,t.f),u=LN(new Hy,t.f),GNt(oT(aT(rT(sT(new qy,2e4),s),c),u)),QE(LW(LW(OY(t.i),new Ua),new Ya),new UW(o,c,s,u)),i=t.d.a.ec().Kc();i.Ob();)zz(i.Pb(),213).g=1;WRt(Xx(Vx(z$(t.f),r),!1),vat(a,1)),HCt(a)}Hv(EB(vTt(e,Pbe)))&&(LEt(a=vat(n,1),"Straight Edges Post-Processing",1),SSt(t),HCt(a)),VZt(t),t.e=null,t.f=null,t.i=null,t.c=null,DY(t.k),t.j=null,t.a=null,t.o=null,t.d.a.$b(),HCt(n)}function AGt(t,e,i){var r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x;for(s=new Kd(t.a.b);s.a<s.c.c.length;)for(m=new Kd(zz(t0(s),29).a);m.a<m.c.c.length;)y=zz(t0(m),10),e.g[y.p]=y,e.a[y.p]=y,e.d[y.p]=0;for(c=t.a.b,e.c==(bQ(),tve)&&(c=aO(c,152)?c6(zz(c,152)):aO(c,131)?zz(c,131).a:aO(c,54)?new hv(c):new AE(c)),o=c.Kc();o.Ob();)for(d=-1,f=zz(o.Pb(),29).a,e.o==(cJ(),ave)&&(d=FKt,f=aO(f,152)?c6(zz(f,152)):aO(f,131)?zz(f,131).a:aO(f,54)?new hv(f):new AE(f)),x=f.Kc();x.Ob();)if(v=zz(x.Pb(),10),h=null,(h=e.c==tve?zz(PH(t.b.f,v.p),15):zz(PH(t.b.b,v.p),15)).gc()>0)if(r=h.gc(),u=AQ(n.Math.floor((r+1)/2))-1,a=AQ(n.Math.ceil((r+1)/2))-1,e.o==ave)for(l=a;l>=u;l--)e.a[v.p]==v&&(p=zz(h.Xb(l),46),g=zz(p.a,10),!jE(i,p.b)&&d>t.b.e[g.p]&&(e.a[g.p]=v,e.g[v.p]=e.g[g.p],e.a[v.p]=e.g[v.p],e.f[e.g[v.p].p]=(lN(),!!(Hv(e.f[e.g[v.p].p])&v.k==(cCt(),Sse))),d=t.b.e[g.p]));else for(l=u;l<=a;l++)e.a[v.p]==v&&(w=zz(h.Xb(l),46),b=zz(w.a,10),!jE(i,w.b)&&d<t.b.e[b.p]&&(e.a[b.p]=v,e.g[v.p]=e.g[b.p],e.a[v.p]=e.g[v.p],e.f[e.g[v.p].p]=(lN(),!!(Hv(e.f[e.g[v.p].p])&v.k==(cCt(),Sse))),d=t.b.e[b.p]))}function MGt(){MGt=I,n_(),SIe=bIe.a,zz(Wet(XX(bIe.a),0),18),xIe=bIe.f,zz(Wet(XX(bIe.f),0),18),zz(Wet(XX(bIe.f),1),34),CIe=bIe.n,zz(Wet(XX(bIe.n),0),34),zz(Wet(XX(bIe.n),1),34),zz(Wet(XX(bIe.n),2),34),zz(Wet(XX(bIe.n),3),34),kIe=bIe.g,zz(Wet(XX(bIe.g),0),18),zz(Wet(XX(bIe.g),1),34),yIe=bIe.c,zz(Wet(XX(bIe.c),0),18),zz(Wet(XX(bIe.c),1),18),_Ie=bIe.i,zz(Wet(XX(bIe.i),0),18),zz(Wet(XX(bIe.i),1),18),zz(Wet(XX(bIe.i),2),18),zz(Wet(XX(bIe.i),3),18),zz(Wet(XX(bIe.i),4),34),EIe=bIe.j,zz(Wet(XX(bIe.j),0),18),mIe=bIe.d,zz(Wet(XX(bIe.d),0),18),zz(Wet(XX(bIe.d),1),18),zz(Wet(XX(bIe.d),2),18),zz(Wet(XX(bIe.d),3),18),zz(Wet(XX(bIe.d),4),34),zz(Wet(XX(bIe.d),5),34),zz(Wet(XX(bIe.d),6),34),zz(Wet(XX(bIe.d),7),34),wIe=bIe.b,zz(Wet(XX(bIe.b),0),34),zz(Wet(XX(bIe.b),1),34),vIe=bIe.e,zz(Wet(XX(bIe.e),0),34),zz(Wet(XX(bIe.e),1),34),zz(Wet(XX(bIe.e),2),34),zz(Wet(XX(bIe.e),3),34),zz(Wet(XX(bIe.e),4),18),zz(Wet(XX(bIe.e),5),18),zz(Wet(XX(bIe.e),6),18),zz(Wet(XX(bIe.e),7),18),zz(Wet(XX(bIe.e),8),18),zz(Wet(XX(bIe.e),9),18),zz(Wet(XX(bIe.e),10),34),TIe=bIe.k,zz(Wet(XX(bIe.k),0),34),zz(Wet(XX(bIe.k),1),34)}function IGt(t,e){var n,i,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x,k,_,E,T,C,S;for(T=new VE,k=new VE,b=-1,c=new Kd(t);c.a<c.c.c.length;){for((o=zz(t0(c),128)).s=b--,l=0,m=0,a=new Kd(o.t);a.a<a.c.c.length;)m+=(i=zz(t0(a),268)).c;for(r=new Kd(o.i);r.a<r.c.c.length;)l+=(i=zz(t0(r),268)).c;o.n=l,o.u=m,0==m?r5(k,o,k.c.b,k.c):0==l&&r5(T,o,T.c.b,T.c)}for(S=C4(t),p=(h=t.c.length)+1,w=h-1,d=new Nw;0!=S.a.gc();){for(;0!=k.b;)SP(0!=k.b),x=zz(Det(k,k.a.a),128),S.a.Bc(x),x.s=w--,oOt(x,T,k);for(;0!=T.b;)SP(0!=T.b),_=zz(Det(T,T.a.a),128),S.a.Bc(_),_.s=p++,oOt(_,T,k);for(g=jWt,u=S.a.ec().Kc();u.Ob();)(y=(o=zz(u.Pb(),128)).u-o.n)>=g&&(y>g&&(d.c=P7(Dte,HKt,1,0,5,1),g=y),d.c[d.c.length]=o);0!=d.c.length&&(f=zz(PH(d,yyt(e,d.c.length)),128),S.a.Bc(f),f.s=p++,oOt(f,T,k),d.c=P7(Dte,HKt,1,0,5,1))}for(v=t.c.length+1,s=new Kd(t);s.a<s.c.c.length;)(o=zz(t0(s),128)).s<h&&(o.s+=v);for(E=new Kd(t);E.a<E.c.c.length;)for(n=new T2((_=zz(t0(E),128)).t,0);n.b<n.d.gc();)SP(n.b<n.d.gc()),C=(i=zz(n.d.Xb(n.c=n.b++),268)).b,_.s>C.s&&(hK(n),v9(C.i,i),i.c>0&&(i.a=C,Kz(C.t,i),i.b=_,Kz(_.i,i)))}function LGt(t){var e,n,i,r,a;switch(e=t.c){case 11:return t.Ml();case 12:return t.Ol();case 14:return t.Ql();case 15:return t.Tl();case 16:return t.Rl();case 17:return t.Ul();case 21:return VGt(t),pKt(),pKt(),uNe;case 10:switch(t.a){case 65:return t.yl();case 90:return t.Dl();case 122:return t.Kl();case 98:return t.El();case 66:return t.zl();case 60:return t.Jl();case 62:return t.Hl()}}switch(a=kGt(t),e=t.c){case 3:return t.Zl(a);case 4:return t.Xl(a);case 5:return t.Yl(a);case 0:if(123==t.a&&t.d<t.j){if(r=t.d,i=0,n=-1,!((e=hW(t.i,r++))>=48&&e<=57))throw qw(new ox(kKt((sD(),K7t))));for(i=e-48;r<t.j&&(e=hW(t.i,r++))>=48&&e<=57;)if((i=10*i+e-48)<0)throw qw(new ox(kKt((sD(),Q7t))));if(n=i,44==e){if(r>=t.j)throw qw(new ox(kKt((sD(),X7t))));if((e=hW(t.i,r++))>=48&&e<=57){for(n=e-48;r<t.j&&(e=hW(t.i,r++))>=48&&e<=57;)if((n=10*n+e-48)<0)throw qw(new ox(kKt((sD(),Q7t))));if(i>n)throw qw(new ox(kKt((sD(),V7t))))}else n=-1}if(125!=e)throw qw(new ox(kKt((sD(),W7t))));t.sl(r)?(pKt(),pKt(),a=new l4(9,a),t.d=r+1):(pKt(),pKt(),a=new l4(3,a),t.d=r),a.dm(i),a.cm(n),VGt(t)}}return a}function DGt(t,e,n,i,r){var a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x,k,_,E,T;for(g=new Q6(e.b),y=new Q6(e.b),f=new Q6(e.b),k=new Q6(e.b),p=new Q6(e.b),x=lwt(e,0);x.b!=x.d.c;)for(s=new Kd((m=zz(d3(x),11)).g);s.a<s.c.c.length;)if((a=zz(t0(s),17)).c.i==a.d.i){if(m.j==a.d.j){k.c[k.c.length]=a;continue}if(m.j==(kYt(),uMe)&&a.d.j==CMe){p.c[p.c.length]=a;continue}}for(c=new Kd(p);c.a<c.c.c.length;)j$t(t,a=zz(t0(c),17),n,i,(kYt(),cMe));for(o=new Kd(k);o.a<o.c.c.length;)a=zz(t0(o),17),zf(_=new Oyt(t),(cCt(),Mse)),hct(_,(HGt(),nwe),(V_t(),GAe)),hct(_,(hKt(),pfe),a),hct(E=new MCt,pfe,a.d),ZAt(E,(kYt(),AMe)),AJ(E,_),hct(T=new MCt,pfe,a.c),ZAt(T,cMe),AJ(T,_),hct(a.c,_fe,_),hct(a.d,_fe,_),CJ(a,null),TJ(a,null),n.c[n.c.length]=_,hct(_,zhe,rft(2));for(v=lwt(e,0);v.b!=v.d.c;)u=(m=zz(d3(v),11)).e.c.length>0,b=m.g.c.length>0,u&&b?f.c[f.c.length]=m:u?g.c[g.c.length]=m:b&&(y.c[y.c.length]=m);for(d=new Kd(g);d.a<d.c.c.length;)Kz(r,Hzt(t,zz(t0(d),11),null,n));for(w=new Kd(y);w.a<w.c.c.length;)Kz(r,Hzt(t,null,zz(t0(w),11),n));for(h=new Kd(f);h.a<h.c.c.length;)Kz(r,Hzt(t,l=zz(t0(h),11),l,n))}function OGt(t){var e,i,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x,k,_;for(p=new PA(RXt,RXt),e=new PA($Xt,$Xt),x=new Kd(t);x.a<x.c.c.length;)v=zz(t0(x),8),p.a=n.Math.min(p.a,v.a),p.b=n.Math.min(p.b,v.b),e.a=n.Math.max(e.a,v.a),e.b=n.Math.max(e.b,v.b);for(u=new PA(e.a-p.a,e.b-p.b),l=new tzt(new PA(p.a-50,p.b-u.a-50),new PA(p.a-50,e.b+u.a+50),new PA(e.a+u.b/2+50,p.b+u.b/2)),m=new Fy,a=new Nw,i=new Nw,m.a.zc(l,m),_=new Kd(t);_.a<_.c.c.length;){for(k=zz(t0(_),8),a.c=P7(Dte,HKt,1,0,5,1),y=m.a.ec().Kc();y.Ob();)K7((b=zz(y.Pb(),308)).d,b.a),Idt(K7(b.d,k),K7(b.d,b.a))<0&&(a.c[a.c.length]=b);for(i.c=P7(Dte,HKt,1,0,5,1),w=new Kd(a);w.a<w.c.c.length;)for(d=new Kd((b=zz(t0(w),308)).e);d.a<d.c.c.length;){for(h=zz(t0(d),168),o=!0,c=new Kd(a);c.a<c.c.c.length;)(s=zz(t0(c),308))!=b&&(aW(h,PH(s.e,0))||aW(h,PH(s.e,1))||aW(h,PH(s.e,2)))&&(o=!1);o&&(i.c[i.c.length]=h)}for(uTt(m,a),n5(m,new ft),f=new Kd(i);f.a<f.c.c.length;)EY(m,new tzt(k,(h=zz(t0(f),168)).a,h.b))}for(n5(m,new kg(g=new Fy)),r=g.a.ec().Kc();r.Ob();)(R9(l,(h=zz(r.Pb(),168)).a)||R9(l,h.b))&&r.Qb();return n5(g,new dt),g}function NGt(t){var e,n,i;switch(n=zz(vTt(t,(hKt(),Jhe)),21),e=xL(Noe),zz(vTt(t,(HGt(),ube)),334)==(cht(),wAe)&&Jat(e,Poe),Hv(EB(vTt(t,sbe)))?pH(e,(xTt(),Foe),(dKt(),qce)):pH(e,(xTt(),$oe),(dKt(),qce)),null!=vTt(t,(A6(),ETe))&&Jat(e,Boe),(Hv(EB(vTt(t,bbe)))||Hv(EB(vTt(t,cbe))))&&KZ(e,(xTt(),zoe),(dKt(),nce)),zz(vTt(t,Ype),103).g){case 2:case 3:case 4:KZ(pH(e,(xTt(),Foe),(dKt(),rce)),zoe,ice)}switch(n.Hc((gBt(),lhe))&&KZ(pH(pH(e,(xTt(),Foe),(dKt(),ece)),joe,Jse),zoe,tce),ZM(vTt(t,Cbe))!==ZM((lNt(),Mye))&&pH(e,(xTt(),$oe),(dKt(),Nce)),n.Hc(whe)&&(pH(e,(xTt(),Foe),(dKt(),jce)),pH(e,Roe,Rce),pH(e,$oe,$ce)),ZM(vTt(t,Spe))!==ZM((JTt(),ahe))&&ZM(vTt(t,Jpe))!==ZM((Cdt(),VSe))&&KZ(e,(xTt(),zoe),(dKt(),wce)),Hv(EB(vTt(t,hbe)))&&pH(e,(xTt(),$oe),(dKt(),bce)),Hv(EB(vTt(t,qpe)))&&pH(e,(xTt(),$oe),(dKt(),Kce)),$Ot(t)&&(i=(ZM(vTt(t,ube))===ZM(wAe)?zz(vTt(t,Fpe),292):zz(vTt(t,Rpe),292))==($ot(),khe)?(dKt(),Fce):(dKt(),Vce),pH(e,(xTt(),joe),i)),zz(vTt(t,Uwe),377).g){case 1:pH(e,(xTt(),joe),(dKt(),Wce));break;case 2:KZ(pH(pH(e,(xTt(),$oe),(dKt(),Wse)),joe,Xse),zoe,Vse)}return ZM(vTt(t,Ope))!==ZM((vct(),Nye))&&pH(e,(xTt(),$oe),(dKt(),Xce)),e}function PGt(t){NT(t,new CEt(yk(gk(wk(bk(new bs,O4t),"ELK Rectangle Packing"),"Algorithm for packing of unconnected boxes, i.e. graphs without edges. The given order of the boxes is always preserved and the main reading direction of the boxes is left to right. The algorithm is divided into two phases. One phase approximates the width in which the rectangles can be placed. The next phase places the rectangles in rows using the previously calculated width as bounding width and bundles rectangles with a similar height in blocks. A compaction step reduces the size of the drawing. Finally, the rectangles are expanded to fill their bounding box and eliminate empty unused spaces."),new ts))),s2(t,O4t,XQt,1.3),s2(t,O4t,D4t,vwt(b_e)),s2(t,O4t,VQt,M_e),s2(t,O4t,mJt,15),s2(t,O4t,c3t,vwt(d_e)),s2(t,O4t,AJt,vwt(k_e)),s2(t,O4t,qJt,vwt(__e)),s2(t,O4t,SJt,vwt(E_e)),s2(t,O4t,MJt,vwt(x_e)),s2(t,O4t,CJt,vwt(T_e)),s2(t,O4t,IJt,vwt(I_e)),s2(t,O4t,E4t,vwt(S_e)),s2(t,O4t,T4t,vwt(v_e)),s2(t,O4t,A4t,vwt(C_e)),s2(t,O4t,M4t,vwt(L_e)),s2(t,O4t,I4t,vwt(w_e)),s2(t,O4t,_Jt,vwt(y_e)),s2(t,O4t,v3t,vwt(m_e)),s2(t,O4t,S4t,vwt(p_e)),s2(t,O4t,C4t,vwt(g_e)),s2(t,O4t,L4t,vwt(O_e))}function BGt(t,e,n){var i,r,a,o,s,c,u,l,h,f,d,g,p;if(null==n)return null;if(t.a!=e.Aj())throw qw(new $v(b6t+e.ne()+w6t));if(aO(e,457)){if(!(p=SBt(zz(e,671),n)))throw qw(new $v(y6t+n+"' is not a valid enumerator of '"+e.ne()+"'"));return p}switch(Mht((ISt(),JDe),e).cl()){case 2:n=zzt(n,!1);break;case 3:n=zzt(n,!0)}if(i=Mht(JDe,e).$k())return i.Aj().Nh().Kh(i,n);if(h=Mht(JDe,e).al()){for(p=new Nw,u=0,l=(c=xut(n)).length;u<l;++u)s=c[u],Kz(p,h.Aj().Nh().Kh(h,s));return p}if(!(g=Mht(JDe,e).bl()).dc()){for(d=g.Kc();d.Ob();){f=zz(d.Pb(),148);try{if(null!=(p=f.Aj().Nh().Kh(f,n)))return p}catch(t){if(!aO(t=dst(t),60))throw qw(t)}}throw qw(new $v(y6t+n+"' does not match any member types of the union datatype '"+e.ne()+"'"))}if(zz(e,834).Fj(),!(r=Bht(e.Bj())))return null;if(r==See){a=0;try{a=d$t(n,jWt,FKt)&VWt}catch(t){if(!aO(t=dst(t),127))throw qw(t);a=W9(n)[0]}return fst(a)}if(r==vee){for(o=0;o<MIe.length;++o)try{return zT(MIe[o],n)}catch(t){if(!aO(t=dst(t),32))throw qw(t)}throw qw(new $v(y6t+n+"' is not a date formatted string of the form yyyy-MM-dd'T'HH:mm:ss'.'SSSZ or a valid subset thereof"))}throw qw(new $v(y6t+n+"' is invalid. "))}function FGt(t,e){var n,i,r,a,o,s,c,u;if(n=0,o=0,a=e.length,s=null,u=new Mx,o<a&&(d1(o,e.length),43==e.charCodeAt(o))&&(++n,++o<a&&(d1(o,e.length),43==e.charCodeAt(o)||(d1(o,e.length),45==e.charCodeAt(o)))))throw qw(new Tx(FXt+e+'"'));for(;o<a&&(d1(o,e.length),46!=e.charCodeAt(o))&&(d1(o,e.length),101!=e.charCodeAt(o))&&(d1(o,e.length),69!=e.charCodeAt(o));)++o;if(u.a+=""+hP(null==e?YKt:(xK(e),e),n,o),o<a&&(d1(o,e.length),46==e.charCodeAt(o))){for(n=++o;o<a&&(d1(o,e.length),101!=e.charCodeAt(o))&&(d1(o,e.length),69!=e.charCodeAt(o));)++o;t.e=o-n,u.a+=""+hP(null==e?YKt:(xK(e),e),n,o)}else t.e=0;if(o<a&&(d1(o,e.length),101==e.charCodeAt(o)||(d1(o,e.length),69==e.charCodeAt(o)))&&(n=++o,o<a&&(d1(o,e.length),43==e.charCodeAt(o))&&++o<a&&(d1(o,e.length),45!=e.charCodeAt(o))&&++n,s=e.substr(n,a-n),t.e=t.e-d$t(s,jWt,FKt),t.e!=AQ(t.e)))throw qw(new Tx("Scale out of range."));if((c=u.a).length<16){if(t.f=(null==Xee&&(Xee=new RegExp("^[+-]?\\d*$","i")),Xee.test(c)?parseInt(c,10):NaN),isNaN(t.f))throw qw(new Tx(FXt+e+'"'));t.a=sMt(t.f)}else fpt(t,new DL(c));for(t.d=u.a.length,r=0;r<u.a.length&&(45==(i=hW(u.a,r))||48==i);++r)--t.d;0==t.d&&(t.d=1)}function RGt(){RGt=I,JMt(hse=new wQ,(kYt(),gMe),yMe),JMt(hse,TMe,yMe),JMt(hse,TMe,xMe),JMt(hse,lMe,wMe),JMt(hse,lMe,yMe),JMt(hse,pMe,yMe),JMt(hse,pMe,mMe),JMt(hse,_Me,fMe),JMt(hse,_Me,yMe),JMt(hse,vMe,dMe),JMt(hse,vMe,yMe),JMt(hse,vMe,mMe),JMt(hse,vMe,fMe),JMt(hse,dMe,vMe),JMt(hse,dMe,xMe),JMt(hse,dMe,wMe),JMt(hse,dMe,yMe),JMt(hse,kMe,kMe),JMt(hse,kMe,mMe),JMt(hse,kMe,xMe),JMt(hse,bMe,bMe),JMt(hse,bMe,mMe),JMt(hse,bMe,wMe),JMt(hse,EMe,EMe),JMt(hse,EMe,fMe),JMt(hse,EMe,xMe),JMt(hse,hMe,hMe),JMt(hse,hMe,fMe),JMt(hse,hMe,wMe),JMt(hse,mMe,pMe),JMt(hse,mMe,vMe),JMt(hse,mMe,kMe),JMt(hse,mMe,bMe),JMt(hse,mMe,yMe),JMt(hse,mMe,mMe),JMt(hse,mMe,xMe),JMt(hse,mMe,wMe),JMt(hse,fMe,_Me),JMt(hse,fMe,vMe),JMt(hse,fMe,EMe),JMt(hse,fMe,hMe),JMt(hse,fMe,fMe),JMt(hse,fMe,xMe),JMt(hse,fMe,wMe),JMt(hse,fMe,yMe),JMt(hse,xMe,TMe),JMt(hse,xMe,dMe),JMt(hse,xMe,kMe),JMt(hse,xMe,EMe),JMt(hse,xMe,mMe),JMt(hse,xMe,fMe),JMt(hse,xMe,xMe),JMt(hse,xMe,yMe),JMt(hse,wMe,lMe),JMt(hse,wMe,dMe),JMt(hse,wMe,bMe),JMt(hse,wMe,hMe),JMt(hse,wMe,mMe),JMt(hse,wMe,fMe),JMt(hse,wMe,wMe),JMt(hse,wMe,yMe),JMt(hse,yMe,gMe),JMt(hse,yMe,TMe),JMt(hse,yMe,lMe),JMt(hse,yMe,pMe),JMt(hse,yMe,_Me),JMt(hse,yMe,vMe),JMt(hse,yMe,dMe),JMt(hse,yMe,mMe),JMt(hse,yMe,fMe),JMt(hse,yMe,xMe),JMt(hse,yMe,wMe),JMt(hse,yMe,yMe)}function $Gt(t,e,i){var r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x,k,_,E;for(t.d=new PA(RXt,RXt),t.c=new PA($Xt,$Xt),f=e.Kc();f.Ob();)for(m=new Kd(zz(f.Pb(),37).a);m.a<m.c.c.length;)y=zz(t0(m),10),t.d.a=n.Math.min(t.d.a,y.n.a-y.d.b),t.d.b=n.Math.min(t.d.b,y.n.b-y.d.d),t.c.a=n.Math.max(t.c.a,y.n.a+y.o.a+y.d.c),t.c.b=n.Math.max(t.c.b,y.n.b+y.o.b+y.d.a);for(c=new Vy,h=e.Kc();h.Ob();)r=cGt(t,zz(h.Pb(),37)),Kz(c.a,r),r.a=r.a|!zz(vTt(r.c,(hKt(),Ghe)),21).dc();for(t.b=(Slt(),(E=new ve).f=new mit(i),E.b=uZt(E.f,c),E),_Zt((g=t.b,new Gm,g)),t.e=new Zk,t.a=t.b.f.e,s=new Kd(c.a);s.a<s.c.c.length;)for(a=zz(t0(s),841),v=LQ(t.b,a),eRt(a.c,v.a,v.b),b=new Kd(a.c.a);b.a<b.c.c.length;)(p=zz(t0(b),10)).k==(cCt(),Tse)&&(w=dOt(t,p.n,zz(vTt(p,(hKt(),Xhe)),61)),YF(xI(p.n),w));for(o=new Kd(c.a);o.a<o.c.c.length;)for(l=new Kd(pft(a=zz(t0(o),841)));l.a<l.c.c.length;)for(RP(_=new Rk((u=zz(t0(l),17)).a),0,b1(u.c)),Bq(_,b1(u.d)),d=null,k=lwt(_,0);k.b!=k.d.c;)x=zz(d3(k),8),d?(cnt(d.a,x.a)?(t.e.a=n.Math.min(t.e.a,d.a),t.a.a=n.Math.max(t.a.a,d.a)):cnt(d.b,x.b)&&(t.e.b=n.Math.min(t.e.b,d.b),t.a.b=n.Math.max(t.a.b,d.b)),d=x):d=x;HP(t.e),YF(t.a,t.e)}function jGt(t){XDt(t.b,X8t,Ast(Zx(Vee,1),lWt,2,6,[Q8t,"ConsistentTransient"])),XDt(t.a,X8t,Ast(Zx(Vee,1),lWt,2,6,[Q8t,"WellFormedSourceURI"])),XDt(t.o,X8t,Ast(Zx(Vee,1),lWt,2,6,[Q8t,"InterfaceIsAbstract AtMostOneID UniqueFeatureNames UniqueOperationSignatures NoCircularSuperTypes WellFormedMapEntryClass ConsistentSuperTypes DisjointFeatureAndOperationSignatures"])),XDt(t.p,X8t,Ast(Zx(Vee,1),lWt,2,6,[Q8t,"WellFormedInstanceTypeName UniqueTypeParameterNames"])),XDt(t.v,X8t,Ast(Zx(Vee,1),lWt,2,6,[Q8t,"UniqueEnumeratorNames UniqueEnumeratorLiterals"])),XDt(t.R,X8t,Ast(Zx(Vee,1),lWt,2,6,[Q8t,"WellFormedName"])),XDt(t.T,X8t,Ast(Zx(Vee,1),lWt,2,6,[Q8t,"UniqueParameterNames UniqueTypeParameterNames NoRepeatingVoid"])),XDt(t.U,X8t,Ast(Zx(Vee,1),lWt,2,6,[Q8t,"WellFormedNsURI WellFormedNsPrefix UniqueSubpackageNames UniqueClassifierNames UniqueNsURIs"])),XDt(t.W,X8t,Ast(Zx(Vee,1),lWt,2,6,[Q8t,"ConsistentOpposite SingleContainer ConsistentKeys ConsistentUnique ConsistentContainer"])),XDt(t.bb,X8t,Ast(Zx(Vee,1),lWt,2,6,[Q8t,"ValidDefaultValueLiteral"])),XDt(t.eb,X8t,Ast(Zx(Vee,1),lWt,2,6,[Q8t,"ValidLowerBound ValidUpperBound ConsistentBounds ValidType"])),XDt(t.H,X8t,Ast(Zx(Vee,1),lWt,2,6,[Q8t,"ConsistentType ConsistentBounds ConsistentArguments"]))}function zGt(t,e,n){var i,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x;if(!e.dc()){if(r=new xm,h=(o=n||zz(e.Xb(0),17)).c,wPt(),(u=h.i.k)!=(cCt(),Ase)&&u!=Mse&&u!=Tse&&u!=Ese)throw qw(new $v("The target node of the edge must be a normal node or a northSouthPort."));for(hI(r,Dct(Ast(Zx(STe,1),lWt,8,0,[h.i.n,h.n,h.a]))),(kYt(),vMe).Hc(h.j)&&(d=Zv(TB(vTt(h,(hKt(),Ofe)))),r5(r,new PA(Dct(Ast(Zx(STe,1),lWt,8,0,[h.i.n,h.n,h.a])).a,d),r.c.b,r.c)),c=null,i=!1,s=e.Kc();s.Ob();)0!=(a=zz(s.Pb(),17).a).b&&(i?(r5(r,xO(YF(c,(SP(0!=a.b),zz(a.a.a.c,8))),.5),r.c.b,r.c),i=!1):i=!0,c=zD((SP(0!=a.b),zz(a.c.b.c,8))),zrt(r,a),vX(a));f=o.d,vMe.Hc(f.j)&&(d=Zv(TB(vTt(f,(hKt(),Ofe)))),r5(r,new PA(Dct(Ast(Zx(STe,1),lWt,8,0,[f.i.n,f.n,f.a])).a,d),r.c.b,r.c)),hI(r,Dct(Ast(Zx(STe,1),lWt,8,0,[f.i.n,f.n,f.a]))),t.d==(Gut(),nme)&&(SP(0!=r.b),g=zz(r.a.a.c,8),p=zz(Fwt(r,1),8),(b=new GJ(hut(h.j))).a*=5,b.b*=5,w=GF(new PA(p.a,p.b),g),YF(y=new PA(iJ(b.a,w.a),iJ(b.b,w.b)),g),tG(lwt(r,1),y),SP(0!=r.b),m=zz(r.c.b.c,8),v=zz(Fwt(r,r.b-2),8),(b=new GJ(hut(f.j))).a*=5,b.b*=5,w=GF(new PA(v.a,v.b),m),YF(x=new PA(iJ(b.a,w.a),iJ(b.b,w.b)),m),RP(r,r.b-1,x)),l=new uzt(r),zrt(o.a,zyt(l))}}function qGt(t,e,i,r){var a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x,k,_,E,T,C,S,A,M,I,L,D,O,N,P;if(v=(y=zz(Wet((!t.b&&(t.b=new lR(RIe,t,4,7)),t.b),0),82)).Dg(),x=y.Eg(),m=y.Cg()/2,g=y.Bg()/2,aO(y,186)&&(v+=KQ(w=zz(y,118)).i,v+=KQ(w).i),v+=m,x+=g,A=(C=zz(Wet((!t.b&&(t.b=new lR(RIe,t,4,7)),t.b),0),82)).Dg(),M=C.Eg(),S=C.Cg()/2,k=C.Bg()/2,aO(C,186)&&(A+=KQ(T=zz(C,118)).i,A+=KQ(T).i),A+=S,M+=k,0==(!t.a&&(t.a=new nY(jIe,t,6,6)),t.a).i)e_(),c=new oc,h8((!t.a&&(t.a=new nY(jIe,t,6,6)),t.a),c);else if((!t.a&&(t.a=new nY(jIe,t,6,6)),t.a).i>1)for(d=new aP((!t.a&&(t.a=new nY(jIe,t,6,6)),t.a));d.e!=d.i.gc();)Vkt(d);for(p=A,A>v+m?p=v+m:A<v-m&&(p=v-m),b=M,M>x+g?b=x+g:M<x-g&&(b=x-g),p>v-m&&p<v+m&&b>x-g&&b<x+g&&(p=v+m),Int(s=zz(Wet((!t.a&&(t.a=new nY(jIe,t,6,6)),t.a),0),202),p),Dnt(s,b),_=v,v>A+S?_=A+S:v<A-S&&(_=A-S),E=x,x>M+k?E=M+k:x<M-k&&(E=M-k),_>A-S&&_<A+S&&E>M-k&&E<M+k&&(E=M+k),Tnt(s,_),Lnt(s,E),lHt((!s.a&&(s.a=new DO(PIe,s,5)),s.a)),o=yyt(e,5),y==C&&++o,L=_-p,N=E-b,l=.20000000298023224*n.Math.sqrt(L*L+N*N),D=L/(o+1),P=N/(o+1),I=p,O=b,u=0;u<o;u++)O+=P,(h=(I+=D)+HDt(e,24)*cVt*l-l/2)<0?h=1:h>i&&(h=i-1),(f=O+HDt(e,24)*cVt*l-l/2)<0?f=1:f>r&&(f=r-1),e_(),_nt(a=new ac,h),Ent(a,f),h8((!s.a&&(s.a=new DO(PIe,s,5)),s.a),a)}function HGt(){HGt=I,lKt(),wwe=kSe,ywe=_Se,mwe=ESe,vwe=TSe,kwe=CSe,_we=SSe,Cwe=MSe,Awe=LSe,Mwe=DSe,Swe=ISe,Iwe=OSe,Dwe=NSe,Nwe=FSe,Twe=ASe,fKt(),bwe=$ge,xwe=jge,Ewe=zge,Lwe=qge,lwe=new GL(wSe,rft(0)),hwe=Bge,fwe=Fge,dwe=Rge,Uwe=fpe,Fwe=Uge,Rwe=Kge,zwe=npe,$we=Vge,jwe=Jge,Gwe=wpe,Ywe=gpe,Hwe=cpe,qwe=ope,Zwe=lpe,Fbe=Sge,Rbe=Age,rbe=Rde,abe=zde,Ybe=new KL(12),Ube=new GL(GCe,Ybe),Cdt(),Jpe=new GL(yCe,tbe=XSe),ewe=new GL(oSe,0),gwe=new GL(ySe,rft(1)),_pe=new GL(aCe,bJt),Zbe=UCe,nwe=sSe,swe=gSe,Upe=fCe,xpe=iCe,ube=_Ce,pwe=new GL(xSe,(lN(),!0)),gbe=CCe,pbe=SCe,jbe=RCe,Hbe=HCe,zbe=jCe,zht(),Ype=new GL(dCe,Kpe=zSe),Dbe=BCe,Lbe=NCe,awe=hSe,rwe=lSe,owe=dSe,owt(),new GL(JCe,Wbe=HAe),Vbe=nSe,Qbe=iSe,Jbe=rSe,Xbe=eSe,Bwe=Zge,Sbe=fge,Cbe=lge,Pwe=Hge,xbe=nge,Zpe=Ede,Hpe=kde,Ppe=sde,Bpe=cde,Rpe=dde,Fpe=ude,qpe=vde,Mbe=gge,Ibe=pge,wbe=Wde,$be=Dge,Nbe=mge,sbe=Zde,Bbe=Tge,nbe=Nde,ibe=Bde,Npe=lCe,Obe=bge,Spe=Xfe,Cpe=Kfe,Tpe=Gfe,hbe=Gde,lbe=Yde,fbe=Kde,qbe=zCe,ybe=ICe,obe=vCe,Vpe=bCe,Xpe=pCe,$pe=bde,iwe=uSe,Epe=uCe,dbe=TCe,twe=aSe,Gbe=WCe,Kbe=VCe,_be=age,Ebe=sge,uwe=bSe,kpe=Yfe,Tbe=uge,Qpe=Ide,Wpe=Ade,Abe=DCe,mbe=Jde,Pbe=kge,Owe=PSe,Gpe=Cde,cwe=Nge,ebe=Dde,vbe=ege,jpe=yde,bbe=MCe,kbe=rge,zpe=mde,Ope=ade,Lpe=nde,Mpe=tde,Ipe=ede,Dpe=rde,Ape=Qfe,cbe=Ude}function ZGt(t,e){var n,i,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x,k,_,E,T,C,S,A;if(cqt(),E=t.e,g=t.d,r=t.a,0==E)switch(e){case 0:return"0";case 1:return WXt;case 2:return"0.00";case 3:return"0.000";case 4:return"0.0000";case 5:return"0.00000";case 6:return"0.000000";default:return(k=new 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i,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x;switch(t.c=e,t.g=new Pw,ZT(),ngt(new Sg(new Bv(t.c))),y=CB(tDt(t.c,(CTt(),pEe))),s=zz(tDt(t.c,wEe),316),v=zz(tDt(t.c,yEe),429),a=zz(tDt(t.c,lEe),482),m=zz(tDt(t.c,bEe),430),t.j=Zv(TB(tDt(t.c,mEe))),o=t.a,s.g){case 0:o=t.a;break;case 1:o=t.b;break;case 2:o=t.i;break;case 3:o=t.e;break;case 4:o=t.f;break;default:throw qw(new $v(P4t+(null!=s.f?s.f:""+s.g)))}if(t.d=new BQ(o,v,a),hct(t.d,(Kat(),Xre),EB(tDt(t.c,fEe))),t.d.c=Hv(EB(tDt(t.c,hEe))),0==VX(t.c).i)return t.d;for(l=new LO(VX(t.c));l.e!=l.i.gc();){for(f=(u=zz(kwt(l),33)).g/2,h=u.f/2,x=new PA(u.i+f,u.j+h);lY(t.g,x);)$P(x,(n.Math.random()-.5)*dJt,(n.Math.random()-.5)*dJt);g=zz(tDt(u,(lKt(),DCe)),142),p=new LJ(x,new YW(x.a-f-t.j/2-g.b,x.b-h-t.j/2-g.d,u.g+t.j+(g.b+g.c),u.f+t.j+(g.d+g.a))),Kz(t.d.i,p),WK(t.g,x,new rM(p,u))}switch(m.g){case 0:if(null==y)t.d.d=zz(PH(t.d.i,0),65);else for(w=new Kd(t.d.i);w.a<w.c.c.length;)p=zz(t0(w),65),null!=(d=zz(zz(FG(t.g,p.a),46).b,33).zg())&&mR(d,y)&&(t.d.d=p);break;case 1:for((i=new PA(t.c.g,t.c.f)).a*=.5,i.b*=.5,$P(i,t.c.i,t.c.j),r=RXt,b=new Kd(t.d.i);b.a<b.c.c.length;)(c=K7((p=zz(t0(b),65)).a,i))<r&&(r=c,t.d.d=p);break;default:throw qw(new $v(P4t+(null!=m.f?m.f:""+m.g)))}return t.d}function YGt(t,e,i){var r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x,k,_;for(k=zz(Wet((!t.a&&(t.a=new nY(jIe,t,6,6)),t.a),0),202),h=new xm,x=new Pw,_=njt(k),_At(x.f,k,_),d=new Pw,r=new VE,p=NY(Wnt(Ast(Zx(Bte,1),HKt,20,0,[(!e.d&&(e.d=new lR($Ie,e,8,5)),e.d),(!e.e&&(e.e=new lR($Ie,e,7,4)),e.e)])));bLt(p);){if(g=zz(Y5(p),79),1!=(!t.a&&(t.a=new nY(jIe,t,6,6)),t.a).i)throw qw(new $v(q5t+(!t.a&&(t.a=new nY(jIe,t,6,6)),t.a).i));g!=t&&(r5(r,w=zz(Wet((!g.a&&(g.a=new nY(jIe,g,6,6)),g.a),0),202),r.c.b,r.c),(b=zz(HM(LV(x.f,w)),12))||(b=njt(w),_At(x.f,w,b)),f=i?GF(new gL(zz(PH(_,_.c.length-1),8)),zz(PH(b,b.c.length-1),8)):GF(new gL((f1(0,_.c.length),zz(_.c[0],8))),(f1(0,b.c.length),zz(b.c[0],8))),_At(d.f,w,f))}if(0!=r.b)for(y=zz(PH(_,i?_.c.length-1:0),8),l=1;l<_.c.length;l++){for(m=zz(PH(_,i?_.c.length-1-l:l),8),a=lwt(r,0);a.b!=a.d.c;)w=zz(d3(a),202),(b=zz(HM(LV(x.f,w)),12)).c.length<=l?vet(a):(v=YF(new gL(zz(PH(b,i?b.c.length-1-l:l),8)),zz(HM(LV(d.f,w)),8)),m.a==v.a&&m.b==v.b||(o=m.a-y.a,c=m.b-y.b,(s=v.a-y.a)*c==(u=v.b-y.b)*o&&(0==o||isNaN(o)?o:o<0?-1:1)==(0==s||isNaN(s)?s:s<0?-1:1)&&(0==c||isNaN(c)?c:c<0?-1:1)==(0==u||isNaN(u)?u:u<0?-1:1)?(n.Math.abs(o)<n.Math.abs(s)||n.Math.abs(c)<n.Math.abs(u))&&r5(h,m,h.c.b,h.c):l>1&&r5(h,y,h.c.b,h.c),vet(a)));y=m}return h}function GGt(t,e,n){var i,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x,k,_,E,T,C,S,A,M,I,L;for(LEt(n,"Greedy cycle removal",1),L=(m=e.a).c.length,t.a=P7(LNe,hXt,25,L,15,1),t.c=P7(LNe,hXt,25,L,15,1),t.b=P7(LNe,hXt,25,L,15,1),u=0,w=new Kd(m);w.a<w.c.c.length;){for((p=zz(t0(w),10)).p=u,E=new Kd(p.j);E.a<E.c.c.length;){for(s=new Kd((x=zz(t0(E),11)).e);s.a<s.c.c.length;)(i=zz(t0(s),17)).c.i!=p&&(C=zz(vTt(i,(HGt(),hwe)),19).a,t.a[u]+=C>0?C+1:1);for(o=new Kd(x.g);o.a<o.c.c.length;)(i=zz(t0(o),17)).d.i!=p&&(C=zz(vTt(i,(HGt(),hwe)),19).a,t.c[u]+=C>0?C+1:1)}0==t.c[u]?Bq(t.e,p):0==t.a[u]&&Bq(t.f,p),++u}for(g=-1,d=1,h=new Nw,t.d=zz(vTt(e,(hKt(),Cfe)),230);L>0;){for(;0!=t.e.b;)A=zz(pq(t.e),10),t.b[A.p]=g--,VRt(t,A),--L;for(;0!=t.f.b;)M=zz(pq(t.f),10),t.b[M.p]=d++,VRt(t,M),--L;if(L>0){for(f=jWt,y=new Kd(m);y.a<y.c.c.length;)p=zz(t0(y),10),0==t.b[p.p]&&(v=t.c[p.p]-t.a[p.p])>=f&&(v>f&&(h.c=P7(Dte,HKt,1,0,5,1),f=v),h.c[h.c.length]=p);l=t.Zf(h),t.b[l.p]=d++,VRt(t,l),--L}}for(S=m.c.length+1,u=0;u<m.c.length;u++)t.b[u]<0&&(t.b[u]+=S);for(b=new Kd(m);b.a<b.c.c.length;)for(_=0,T=(k=M2((p=zz(t0(b),10)).j)).length;_<T;++_)for(a=0,c=(r=J0((x=k[_]).g)).length;a<c;++a)I=(i=r[a]).d.i.p,t.b[p.p]>t.b[I]&&(nzt(i,!0),hct(e,Hhe,(lN(),!0)));t.a=null,t.c=null,t.b=null,vX(t.f),vX(t.e),HCt(n)}function KGt(t,e){var n,i,r,a,o,s,c,u,l,h,f,d,g,p,b,w;for(i=new Nw,s=new Nw,b=e/2,d=t.gc(),r=zz(t.Xb(0),8),w=zz(t.Xb(1),8),Kz(i,(f1(0,(g=VLt(r.a,r.b,w.a,w.b,b)).c.length),zz(g.c[0],8))),Kz(s,(f1(1,g.c.length),zz(g.c[1],8))),u=2;u<d;u++)p=r,r=w,w=zz(t.Xb(u),8),Kz(i,(f1(1,(g=VLt(r.a,r.b,p.a,p.b,b)).c.length),zz(g.c[1],8))),Kz(s,(f1(0,g.c.length),zz(g.c[0],8))),Kz(i,(f1(0,(g=VLt(r.a,r.b,w.a,w.b,b)).c.length),zz(g.c[0],8))),Kz(s,(f1(1,g.c.length),zz(g.c[1],8)));for(Kz(i,(f1(1,(g=VLt(w.a,w.b,r.a,r.b,b)).c.length),zz(g.c[1],8))),Kz(s,(f1(0,g.c.length),zz(g.c[0],8))),n=new xm,o=new Nw,Bq(n,(f1(0,i.c.length),zz(i.c[0],8))),l=1;l<i.c.length-2;l+=2)f1(l,i.c.length),a=zz(i.c[l],8),f=ZSt((f1(l-1,i.c.length),zz(i.c[l-1],8)),a,(f1(l+1,i.c.length),zz(i.c[l+1],8)),(f1(l+2,i.c.length),zz(i.c[l+2],8))),isFinite(f.a)&&isFinite(f.b)?r5(n,f,n.c.b,n.c):r5(n,a,n.c.b,n.c);for(Bq(n,zz(PH(i,i.c.length-1),8)),Kz(o,(f1(0,s.c.length),zz(s.c[0],8))),h=1;h<s.c.length-2;h+=2)f1(h,s.c.length),a=zz(s.c[h],8),f=ZSt((f1(h-1,s.c.length),zz(s.c[h-1],8)),a,(f1(h+1,s.c.length),zz(s.c[h+1],8)),(f1(h+2,s.c.length),zz(s.c[h+2],8))),isFinite(f.a)&&isFinite(f.b)?o.c[o.c.length]=f:o.c[o.c.length]=a;for(Kz(o,zz(PH(s,s.c.length-1),8)),c=o.c.length-1;c>=0;c--)Bq(n,(f1(c,o.c.length),zz(o.c[c],8)));return n}function WGt(t){var e,n,i,r,a,o,s,c,u,l,h,f,d;if(o=!0,h=null,i=null,r=null,e=!1,d=xLe,u=null,a=null,(c=Xbt(t,s=0,LLe,DLe))<t.length&&(d1(c,t.length),58==t.charCodeAt(c))&&(h=t.substr(s,c-s),s=c+1),n=null!=h&&PE(kLe,h.toLowerCase())){if(-1==(c=t.lastIndexOf("!/")))throw qw(new $v("no archive 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aFt(o,h,i,r,e,d,u,a)}function XGt(t,e){var i,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x,k,_,E,T,C,S,A,M,I,L,D;for(I=new Nw,g=new Kd(e.b);g.a<g.c.c.length;)for(x=new Kd(zz(t0(g),29).a);x.a<x.c.c.length;){for((v=zz(t0(x),10)).p=-1,f=jWt,E=jWt,C=new Kd(v.j);C.a<C.c.c.length;){for(a=new Kd((T=zz(t0(C),11)).e);a.a<a.c.c.length;)i=zz(t0(a),17),S=zz(vTt(i,(HGt(),dwe)),19).a,f=n.Math.max(f,S);for(r=new Kd(T.g);r.a<r.c.c.length;)i=zz(t0(r),17),S=zz(vTt(i,(HGt(),dwe)),19).a,E=n.Math.max(E,S)}hct(v,Gme,rft(f)),hct(v,Kme,rft(E))}for(w=0,d=new Kd(e.b);d.a<d.c.c.length;)for(x=new Kd(zz(t0(d),29).a);x.a<x.c.c.length;)(v=zz(t0(x),10)).p<0&&((M=new rm).b=w++,_Ft(t,v,M),I.c[I.c.length]=M);for(_=uP(I.c.length),h=uP(I.c.length),s=0;s<I.c.length;s++)Kz(_,new Nw),Kz(h,rft(0));for(mUt(e,I,_,h),L=zz(Vbt(I,P7(Vme,L3t,257,I.c.length,0,1)),840),k=zz(Vbt(_,P7(Rte,eJt,15,_.c.length,0,1)),192),l=P7(LNe,hXt,25,h.c.length,15,1),c=0;c<l.length;c++)l[c]=(f1(c,h.c.length),zz(h.c[c],19)).a;for(y=0,m=new Nw,u=0;u<L.length;u++)0==l[u]&&Kz(m,L[u]);for(b=P7(LNe,hXt,25,L.length,15,1);0!=m.c.length;)for(b[(M=zz(u6(m,0),257)).b]=y++;!k[M.b].dc();)--l[(D=zz(k[M.b].$c(0),257)).b],0==l[D.b]&&(m.c[m.c.length]=D);for(t.a=P7(Vme,L3t,257,L.length,0,1),o=0;o<L.length;o++)for(p=L[o],A=b[o],t.a[A]=p,p.b=A,x=new Kd(p.e);x.a<x.c.c.length;)(v=zz(t0(x),10)).p=A;return t.a}function VGt(t){var e,n,i;if(t.d>=t.j)return t.a=-1,void(t.c=1);if(e=hW(t.i,t.d++),t.a=e,1!=t.b){switch(e){case 124:i=2;break;case 42:i=3;break;case 43:i=4;break;case 63:i=5;break;case 41:i=7;break;case 46:i=8;break;case 91:i=9;break;case 94:i=11;break;case 36:i=12;break;case 40:if(i=6,t.d>=t.j)break;if(63!=hW(t.i,t.d))break;if(++t.d>=t.j)throw qw(new ox(kKt((sD(),y7t))));switch(e=hW(t.i,t.d++)){case 58:i=13;break;case 61:i=14;break;case 33:i=15;break;case 91:i=19;break;case 62:i=18;break;case 60:if(t.d>=t.j)throw qw(new ox(kKt((sD(),y7t))));if(61==(e=hW(t.i,t.d++)))i=16;else{if(33!=e)throw qw(new ox(kKt((sD(),m7t))));i=17}break;case 35:for(;t.d<t.j&&41!=(e=hW(t.i,t.d++)););if(41!=e)throw qw(new ox(kKt((sD(),v7t))));i=21;break;default:if(45==e||97<=e&&e<=122||65<=e&&e<=90){--t.d,i=22;break}if(40==e){i=23;break}throw qw(new ox(kKt((sD(),y7t))))}break;case 92:if(i=10,t.d>=t.j)throw qw(new ox(kKt((sD(),w7t))));t.a=hW(t.i,t.d++);break;default:i=0}t.c=i}else{switch(e){case 92:if(i=10,t.d>=t.j)throw qw(new ox(kKt((sD(),w7t))));t.a=hW(t.i,t.d++);break;case 45:512==(512&t.e)&&t.d<t.j&&91==hW(t.i,t.d)?(++t.d,i=24):i=0;break;case 91:if(512!=(512&t.e)&&t.d<t.j&&58==hW(t.i,t.d)){++t.d,i=20;break}default:(64512&e)==HXt&&t.d<t.j&&56320==(64512&(n=hW(t.i,t.d)))&&(t.a=qXt+(e-HXt<<10)+n-56320,++t.d),i=0}t.c=i}}function QGt(t){var e,n,i,r,a,o,s,c,u,h,f,d,g,p,b,w,y,m,v,x,k,_,E,T,C,S;if((k=zz(vTt(t,(HGt(),nwe)),98))!=(V_t(),XAe)&&k!=VAe){for(u=new Q6((dit((d=(g=t.b).c.length)+2,PWt),eet(adt(adt(5,d+2),(d+2)/10|0)))),p=new Q6((dit(d+2,PWt),eet(adt(adt(5,d+2),(d+2)/10|0)))),Kz(u,new Pw),Kz(u,new Pw),Kz(p,new Nw),Kz(p,new Nw),x=new Nw,e=0;e<d;e++)for(f1(e,g.c.length),n=zz(g.c[e],29),f1(e,u.c.length),_=zz(u.c[e],83),b=new Pw,u.c[u.c.length]=b,f1(e,p.c.length),T=zz(p.c[e],15),y=new Nw,p.c[p.c.length]=y,r=new Kd(n.a);r.a<r.c.c.length;)if(oft(i=zz(t0(r),10)))x.c[x.c.length]=i;else{for(c=new cU(JO(fdt(i).a.Kc(),new l));bLt(c);)oft(C=(o=zz(Y5(c),17)).c.i)&&((E=zz(_.xc(vTt(C,(hKt(),pfe))),10))||(E=uMt(t,C),_.zc(vTt(C,pfe),E),T.Fc(E)),CJ(o,zz(PH(E.j,1),11)));for(s=new cU(JO(ddt(i).a.Kc(),new l));bLt(s);)oft(S=(o=zz(Y5(s),17)).d.i)&&((w=zz(FG(b,vTt(S,(hKt(),pfe))),10))||(w=uMt(t,S),WK(b,vTt(S,pfe),w),y.c[y.c.length]=w),TJ(o,zz(PH(w.j,0),11)))}for(h=0;h<p.c.length;h++)if(f1(h,p.c.length),!(m=zz(p.c[h],15)).dc())for(f=null,0==h?(f=new qG(t),OJ(0,g.c.length),TC(g.c,0,f)):h==u.c.length-1?(f=new qG(t),g.c[g.c.length]=f):(f1(h-1,g.c.length),f=zz(g.c[h-1],29)),a=m.Kc();a.Ob();)SJ(zz(a.Pb(),10),f);for(v=new Kd(x);v.a<v.c.c.length;)SJ(zz(t0(v),10),null);hct(t,(hKt(),Khe),x)}}function JGt(t,e,n){var i,r,a,o,s,c,u,h,f,d,g,p,b,w,y,m,v,x,k;if(LEt(n,"Coffman-Graham Layering",1),0!=e.a.c.length){for(k=zz(vTt(e,(HGt(),mbe)),19).a,c=0,o=0,d=new Kd(e.a);d.a<d.c.c.length;)for((f=zz(t0(d),10)).p=c++,a=new cU(JO(ddt(f).a.Kc(),new l));bLt(a);)(r=zz(Y5(a),17)).p=o++;for(t.d=P7(DNe,tQt,25,c,16,1),t.a=P7(DNe,tQt,25,o,16,1),t.b=P7(LNe,hXt,25,c,15,1),t.e=P7(LNe,hXt,25,c,15,1),t.f=P7(LNe,hXt,25,c,15,1),pit(t.c),a_t(t,e),p=new GU(new Bp(t)),x=new Kd(e.a);x.a<x.c.c.length;){for(a=new cU(JO(fdt(m=zz(t0(x),10)).a.Kc(),new l));bLt(a);)r=zz(Y5(a),17),t.a[r.p]||++t.b[m.p];0==t.b[m.p]&&j7(iTt(p,m))}for(s=0;0!=p.b.c.length;)for(m=zz(mtt(p),10),t.f[m.p]=s++,a=new cU(JO(ddt(m).a.Kc(),new l));bLt(a);)r=zz(Y5(a),17),t.a[r.p]||(w=r.d.i,--t.b[w.p],JMt(t.c,w,rft(t.f[m.p])),0==t.b[w.p]&&j7(iTt(p,w)));for(g=new GU(new Fp(t)),v=new Kd(e.a);v.a<v.c.c.length;){for(a=new cU(JO(ddt(m=zz(t0(v),10)).a.Kc(),new l));bLt(a);)r=zz(Y5(a),17),t.a[r.p]||++t.e[m.p];0==t.e[m.p]&&j7(iTt(g,m))}for(i=r1(e,h=new Nw);0!=g.b.c.length;)for(y=zz(mtt(g),10),(i.a.c.length>=k||!Ppt(y,i))&&(i=r1(e,h)),SJ(y,i),a=new cU(JO(fdt(y).a.Kc(),new l));bLt(a);)r=zz(Y5(a),17),t.a[r.p]||(b=r.c.i,--t.e[b.p],0==t.e[b.p]&&j7(iTt(g,b)));for(u=h.c.length-1;u>=0;--u)Kz(e.b,(f1(u,h.c.length),zz(h.c[u],29)));e.a.c=P7(Dte,HKt,1,0,5,1),HCt(n)}else HCt(n)}function tKt(t){var e,n,i,r,a,o,s,c;for(t.b=1,VGt(t),e=null,0==t.c&&94==t.a?(VGt(t),pKt(),pKt(),QPt(e=new T0(4),0,cte),o=new T0(4)):(pKt(),pKt(),o=new T0(4)),r=!0;1!=(c=t.c);){if(0==c&&93==t.a&&!r){e&&(WZt(e,o),o=e);break}if(n=t.a,i=!1,10==c)switch(n){case 100:case 68:case 119:case 87:case 115:case 83:lqt(o,b$t(n)),i=!0;break;case 105:case 73:case 99:case 67:lqt(o,b$t(n)),(n=-1)<0&&(i=!0);break;case 112:case 80:if(!(s=FMt(t,n)))throw qw(new ox(kKt((sD(),L7t))));lqt(o,s),i=!0;break;default:n=ZBt(t)}else if(24==c&&!r){if(e&&(WZt(e,o),o=e),WZt(o,tKt(t)),0!=t.c||93!=t.a)throw qw(new ox(kKt((sD(),P7t))));break}if(VGt(t),!i){if(0==c){if(91==n)throw qw(new ox(kKt((sD(),B7t))));if(93==n)throw qw(new ox(kKt((sD(),F7t))));if(45==n&&!r&&93!=t.a)throw qw(new ox(kKt((sD(),R7t))))}if(0!=t.c||45!=t.a||45==n&&r)QPt(o,n,n);else{if(VGt(t),1==(c=t.c))throw qw(new ox(kKt((sD(),O7t))));if(0==c&&93==t.a)QPt(o,n,n),QPt(o,45,45);else{if(0==c&&93==t.a||24==c)throw qw(new ox(kKt((sD(),R7t))));if(a=t.a,0==c){if(91==a)throw qw(new ox(kKt((sD(),B7t))));if(93==a)throw qw(new ox(kKt((sD(),F7t))));if(45==a)throw qw(new ox(kKt((sD(),R7t))))}else 10==c&&(a=ZBt(t));if(VGt(t),n>a)throw qw(new ox(kKt((sD(),z7t))));QPt(o,n,a)}}}r=!1}if(1==t.c)throw qw(new ox(kKt((sD(),O7t))));return TDt(o),Zqt(o),t.b=0,VGt(t),o}function eKt(t){XDt(t.c,j8t,Ast(Zx(Vee,1),lWt,2,6,[J8t,"http://www.w3.org/2001/XMLSchema#decimal"])),XDt(t.d,j8t,Ast(Zx(Vee,1),lWt,2,6,[J8t,"http://www.w3.org/2001/XMLSchema#integer"])),XDt(t.e,j8t,Ast(Zx(Vee,1),lWt,2,6,[J8t,"http://www.w3.org/2001/XMLSchema#boolean"])),XDt(t.f,j8t,Ast(Zx(Vee,1),lWt,2,6,[J8t,"EBoolean",n7t,"EBoolean:Object"])),XDt(t.i,j8t,Ast(Zx(Vee,1),lWt,2,6,[J8t,"http://www.w3.org/2001/XMLSchema#byte"])),XDt(t.g,j8t,Ast(Zx(Vee,1),lWt,2,6,[J8t,"http://www.w3.org/2001/XMLSchema#hexBinary"])),XDt(t.j,j8t,Ast(Zx(Vee,1),lWt,2,6,[J8t,"EByte",n7t,"EByte:Object"])),XDt(t.n,j8t,Ast(Zx(Vee,1),lWt,2,6,[J8t,"EChar",n7t,"EChar:Object"])),XDt(t.t,j8t,Ast(Zx(Vee,1),lWt,2,6,[J8t,"http://www.w3.org/2001/XMLSchema#double"])),XDt(t.u,j8t,Ast(Zx(Vee,1),lWt,2,6,[J8t,"EDouble",n7t,"EDouble:Object"])),XDt(t.F,j8t,Ast(Zx(Vee,1),lWt,2,6,[J8t,"http://www.w3.org/2001/XMLSchema#float"])),XDt(t.G,j8t,Ast(Zx(Vee,1),lWt,2,6,[J8t,"EFloat",n7t,"EFloat:Object"])),XDt(t.I,j8t,Ast(Zx(Vee,1),lWt,2,6,[J8t,"http://www.w3.org/2001/XMLSchema#int"])),XDt(t.J,j8t,Ast(Zx(Vee,1),lWt,2,6,[J8t,"EInt",n7t,"EInt:Object"])),XDt(t.N,j8t,Ast(Zx(Vee,1),lWt,2,6,[J8t,"http://www.w3.org/2001/XMLSchema#long"])),XDt(t.O,j8t,Ast(Zx(Vee,1),lWt,2,6,[J8t,"ELong",n7t,"ELong:Object"])),XDt(t.Z,j8t,Ast(Zx(Vee,1),lWt,2,6,[J8t,"http://www.w3.org/2001/XMLSchema#short"])),XDt(t.$,j8t,Ast(Zx(Vee,1),lWt,2,6,[J8t,"EShort",n7t,"EShort:Object"])),XDt(t._,j8t,Ast(Zx(Vee,1),lWt,2,6,[J8t,"http://www.w3.org/2001/XMLSchema#string"]))}function nKt(t){var e,i,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x,k,_,E,T,C,S,A;if(1==t.c.length)return f1(0,t.c.length),zz(t.c[0],135);if(t.c.length<=0)return new S6;for(u=new Kd(t);u.a<u.c.c.length;){for(s=zz(t0(u),135),m=0,p=FKt,b=FKt,d=jWt,g=jWt,y=lwt(s.b,0);y.b!=y.d.c;)w=zz(d3(y),86),m+=zz(vTt(w,(MLt(),Dxe)),19).a,p=n.Math.min(p,w.e.a),b=n.Math.min(b,w.e.b),d=n.Math.max(d,w.e.a+w.f.a),g=n.Math.max(g,w.e.b+w.f.b);hct(s,(MLt(),Dxe),rft(m)),hct(s,(ZHt(),txe),new PA(p,b)),hct(s,Jve,new PA(d,g))}for(CX(),mD(t,new wo),Zot(x=new S6,(f1(0,t.c.length),zz(t.c[0],94))),f=0,C=0,l=new Kd(t);l.a<l.c.c.length;)s=zz(t0(l),135),k=GF(zD(zz(vTt(s,(ZHt(),Jve)),8)),zz(vTt(s,txe),8)),f=n.Math.max(f,k.a),C+=k.a*k.b;for(f=n.Math.max(f,n.Math.sqrt(C)*Zv(TB(vTt(x,(MLt(),kxe))))),S=0,A=0,h=0,e=_=Zv(TB(vTt(x,Pxe))),c=new Kd(t);c.a<c.c.c.length;)s=zz(t0(c),135),S+(k=GF(zD(zz(vTt(s,(ZHt(),Jve)),8)),zz(vTt(s,txe),8))).a>f&&(S=0,A+=h+_,h=0),EOt(x,s,S,A),e=n.Math.max(e,S+k.a),h=n.Math.max(h,k.b),S+=k.a+_;for(v=new Pw,i=new Pw,T=new Kd(t);T.a<T.c.c.length;)for(r=Hv(EB(vTt(E=zz(t0(T),135),(lKt(),fCe)))),o=(E.q?E.q:hne).vc().Kc();o.Ob();)lY(v,(a=zz(o.Pb(),42)).cd())?ZM(zz(a.cd(),146).wg())!==ZM(a.dd())&&(r&&lY(i,a.cd())?(DE(),zz(a.cd(),146).tg()):(WK(v,zz(a.cd(),146),a.dd()),hct(x,zz(a.cd(),146),a.dd()),r&&WK(i,zz(a.cd(),146),a.dd()))):(WK(v,zz(a.cd(),146),a.dd()),hct(x,zz(a.cd(),146),a.dd()));return x}function iKt(){iKt=I,RGt(),JMt(wse=new wQ,(kYt(),pMe),gMe),JMt(wse,TMe,gMe),JMt(wse,bMe,gMe),JMt(wse,kMe,gMe),JMt(wse,xMe,gMe),JMt(wse,mMe,gMe),JMt(wse,kMe,pMe),JMt(wse,gMe,lMe),JMt(wse,pMe,lMe),JMt(wse,TMe,lMe),JMt(wse,bMe,lMe),JMt(wse,vMe,lMe),JMt(wse,kMe,lMe),JMt(wse,xMe,lMe),JMt(wse,mMe,lMe),JMt(wse,dMe,lMe),JMt(wse,gMe,_Me),JMt(wse,pMe,_Me),JMt(wse,lMe,_Me),JMt(wse,TMe,_Me),JMt(wse,bMe,_Me),JMt(wse,vMe,_Me),JMt(wse,kMe,_Me),JMt(wse,dMe,_Me),JMt(wse,EMe,_Me),JMt(wse,xMe,_Me),JMt(wse,wMe,_Me),JMt(wse,mMe,_Me),JMt(wse,pMe,TMe),JMt(wse,bMe,TMe),JMt(wse,kMe,TMe),JMt(wse,mMe,TMe),JMt(wse,pMe,bMe),JMt(wse,TMe,bMe),JMt(wse,kMe,bMe),JMt(wse,bMe,bMe),JMt(wse,xMe,bMe),JMt(wse,gMe,hMe),JMt(wse,pMe,hMe),JMt(wse,lMe,hMe),JMt(wse,_Me,hMe),JMt(wse,TMe,hMe),JMt(wse,bMe,hMe),JMt(wse,vMe,hMe),JMt(wse,kMe,hMe),JMt(wse,EMe,hMe),JMt(wse,dMe,hMe),JMt(wse,mMe,hMe),JMt(wse,xMe,hMe),JMt(wse,yMe,hMe),JMt(wse,gMe,EMe),JMt(wse,pMe,EMe),JMt(wse,lMe,EMe),JMt(wse,TMe,EMe),JMt(wse,bMe,EMe),JMt(wse,vMe,EMe),JMt(wse,kMe,EMe),JMt(wse,dMe,EMe),JMt(wse,mMe,EMe),JMt(wse,wMe,EMe),JMt(wse,yMe,EMe),JMt(wse,pMe,dMe),JMt(wse,TMe,dMe),JMt(wse,bMe,dMe),JMt(wse,kMe,dMe),JMt(wse,EMe,dMe),JMt(wse,mMe,dMe),JMt(wse,xMe,dMe),JMt(wse,gMe,fMe),JMt(wse,pMe,fMe),JMt(wse,lMe,fMe),JMt(wse,TMe,fMe),JMt(wse,bMe,fMe),JMt(wse,vMe,fMe),JMt(wse,kMe,fMe),JMt(wse,dMe,fMe),JMt(wse,mMe,fMe),JMt(wse,pMe,xMe),JMt(wse,lMe,xMe),JMt(wse,_Me,xMe),JMt(wse,bMe,xMe),JMt(wse,gMe,wMe),JMt(wse,pMe,wMe),JMt(wse,_Me,wMe),JMt(wse,TMe,wMe),JMt(wse,bMe,wMe),JMt(wse,vMe,wMe),JMt(wse,kMe,wMe),JMt(wse,kMe,yMe),JMt(wse,bMe,yMe),JMt(wse,dMe,gMe),JMt(wse,dMe,TMe),JMt(wse,dMe,lMe),JMt(wse,vMe,gMe),JMt(wse,vMe,pMe),JMt(wse,vMe,_Me)}function rKt(t,e){switch(t.e){case 0:case 2:case 4:case 6:case 42:case 44:case 46:case 48:case 8:case 10:case 12:case 14:case 16:case 18:case 20:case 22:case 24:case 26:case 28:case 30:case 32:case 34:case 36:case 38:return new UX(t.b,t.a,e,t.c);case 1:return new OO(t.a,e,Dgt(e.Tg(),t.c));case 43:return new PO(t.a,e,Dgt(e.Tg(),t.c));case 3:return new DO(t.a,e,Dgt(e.Tg(),t.c));case 45:return new NO(t.a,e,Dgt(e.Tg(),t.c));case 41:return new v8(zz(Ixt(t.c),26),t.a,e,Dgt(e.Tg(),t.c));case 50:return new xit(zz(Ixt(t.c),26),t.a,e,Dgt(e.Tg(),t.c));case 5:return new iR(t.a,e,Dgt(e.Tg(),t.c),t.d.n);case 47:return new rR(t.a,e,Dgt(e.Tg(),t.c),t.d.n);case 7:return new nY(t.a,e,Dgt(e.Tg(),t.c),t.d.n);case 49:return new nR(t.a,e,Dgt(e.Tg(),t.c),t.d.n);case 9:return new jO(t.a,e,Dgt(e.Tg(),t.c));case 11:return new $O(t.a,e,Dgt(e.Tg(),t.c));case 13:return new RO(t.a,e,Dgt(e.Tg(),t.c));case 15:return new Tq(t.a,e,Dgt(e.Tg(),t.c));case 17:return new zO(t.a,e,Dgt(e.Tg(),t.c));case 19:return new FO(t.a,e,Dgt(e.Tg(),t.c));case 21:return new BO(t.a,e,Dgt(e.Tg(),t.c));case 23:return new vq(t.a,e,Dgt(e.Tg(),t.c));case 25:return new hR(t.a,e,Dgt(e.Tg(),t.c),t.d.n);case 27:return new lR(t.a,e,Dgt(e.Tg(),t.c),t.d.n);case 29:return new cR(t.a,e,Dgt(e.Tg(),t.c),t.d.n);case 31:return new aR(t.a,e,Dgt(e.Tg(),t.c),t.d.n);case 33:return new uR(t.a,e,Dgt(e.Tg(),t.c),t.d.n);case 35:return new sR(t.a,e,Dgt(e.Tg(),t.c),t.d.n);case 37:return new oR(t.a,e,Dgt(e.Tg(),t.c),t.d.n);case 39:return new iY(t.a,e,Dgt(e.Tg(),t.c),t.d.n);case 40:return new Eat(e,Dgt(e.Tg(),t.c));default:throw qw(new pv("Unknown feature style: "+t.e))}}function aKt(t,e,n){var i,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x;switch(LEt(n,"Brandes & Koepf node placement",1),t.a=e,t.c=zjt(e),i=zz(vTt(e,(HGt(),Nbe)),274),d=Hv(EB(vTt(e,Pbe))),t.d=i==(qkt(),Xle)&&!d||i==Gle,JHt(t,e),v=null,x=null,b=null,w=null,dit(4,DWt),p=new Q6(4),zz(vTt(e,Nbe),274).g){case 3:b=new ZRt(e,t.c.d,(cJ(),rve),(bQ(),tve)),p.c[p.c.length]=b;break;case 1:w=new ZRt(e,t.c.d,(cJ(),ave),(bQ(),tve)),p.c[p.c.length]=w;break;case 4:v=new ZRt(e,t.c.d,(cJ(),rve),(bQ(),eve)),p.c[p.c.length]=v;break;case 2:x=new ZRt(e,t.c.d,(cJ(),ave),(bQ(),eve)),p.c[p.c.length]=x;break;default:b=new ZRt(e,t.c.d,(cJ(),rve),(bQ(),tve)),w=new ZRt(e,t.c.d,ave,tve),v=new ZRt(e,t.c.d,rve,eve),x=new ZRt(e,t.c.d,ave,eve),p.c[p.c.length]=v,p.c[p.c.length]=x,p.c[p.c.length]=b,p.c[p.c.length]=w}for(r=new iA(e,t.c),s=new Kd(p);s.a<s.c.c.length;)AGt(r,a=zz(t0(s),180),t.b),Wzt(a);for(f=new Jvt(e,t.c),c=new Kd(p);c.a<c.c.c.length;)HUt(f,a=zz(t0(c),180));if(n.n)for(u=new Kd(p);u.a<u.c.c.length;)Iq(n,(a=zz(t0(u),180))+" size is "+mDt(a));if(h=null,t.d&&Izt(e,l=zYt(t,p,t.c.d),n)&&(h=l),!h)for(u=new Kd(p);u.a<u.c.c.length;)Izt(e,a=zz(t0(u),180),n)&&(!h||mDt(h)>mDt(a))&&(h=a);for(!h&&(f1(0,p.c.length),h=zz(p.c[0],180)),g=new Kd(e.b);g.a<g.c.c.length;)for(m=new Kd(zz(t0(g),29).a);m.a<m.c.c.length;)(y=zz(t0(m),10)).n.b=Zv(h.p[y.p])+Zv(h.d[y.p]);for(n.n&&(Iq(n,"Chosen node placement: "+h),Iq(n,"Blocks: "+BIt(h)),Iq(n,"Classes: "+GLt(h,n)),Iq(n,"Marked edges: "+t.b)),o=new Kd(p);o.a<o.c.c.length;)(a=zz(t0(o),180)).g=null,a.b=null,a.a=null,a.d=null,a.j=null,a.i=null,a.p=null;Yrt(t.c),t.b.a.$b(),HCt(n)}function oKt(t,e,n){var i,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x,k,_,E;for(o=new VE,y=zz(vTt(n,(HGt(),Ype)),103),g=0,zrt(o,(!e.a&&(e.a=new nY(YIe,e,10,11)),e.a));0!=o.b;)u=zz(0==o.b?null:(SP(0!=o.b),Det(o,o.a.a)),33),(ZM(tDt(e,Ope))!==ZM((vct(),Nye))||ZM(tDt(e,Zpe))===ZM((Xyt(),_le))||ZM(tDt(e,Zpe))===ZM((Xyt(),xle))||Hv(EB(tDt(e,Ppe)))||ZM(tDt(e,Ape))!==ZM((qht(),gse)))&&!Hv(EB(tDt(u,Dpe)))&&Qwt(u,(hKt(),gfe),rft(g++)),!Hv(EB(tDt(u,Zbe)))&&(h=0!=(!u.a&&(u.a=new nY(YIe,u,10,11)),u.a).i,d=kEt(u),f=ZM(tDt(u,ube))===ZM((cht(),wAe)),b=null,(E=!S7(u,(lKt(),nCe))||mR(CB(tDt(u,nCe)),p1t))&&f&&(h||d)&&(hct(b=kjt(u),Ype,y),OP(b,bwe)&&Tv(new cgt(Zv(TB(vTt(b,bwe)))),b),0!=zz(tDt(u,jbe),174).gc()&&(l=b,QE(new FH(null,(!u.c&&(u.c=new nY(GIe,u,9,9)),new g1(u.c,16))),new Gg(l)),vBt(u,b))),m=n,(v=zz(FG(t.a,QQ(u)),10))&&(m=v.e),p=pUt(t,u,m),b&&(p.e=b,b.e=p,zrt(o,(!u.a&&(u.a=new nY(YIe,u,10,11)),u.a))));for(g=0,r5(o,e,o.c.b,o.c);0!=o.b;){for(c=new LO((!(a=zz(0==o.b?null:(SP(0!=o.b),Det(o,o.a.a)),33)).b&&(a.b=new nY($Ie,a,12,3)),a.b));c.e!=c.i.gc();)nRt(s=zz(kwt(c),79)),(ZM(tDt(e,Ope))!==ZM((vct(),Nye))||ZM(tDt(e,Zpe))===ZM((Xyt(),_le))||ZM(tDt(e,Zpe))===ZM((Xyt(),xle))||Hv(EB(tDt(e,Ppe)))||ZM(tDt(e,Ape))!==ZM((qht(),gse)))&&Qwt(s,(hKt(),gfe),rft(g++)),k=AEt(zz(Wet((!s.b&&(s.b=new lR(RIe,s,4,7)),s.b),0),82)),_=AEt(zz(Wet((!s.c&&(s.c=new lR(RIe,s,5,8)),s.c),0),82)),Hv(EB(tDt(s,Zbe)))||Hv(EB(tDt(k,Zbe)))||Hv(EB(tDt(_,Zbe)))||(w=a,VMt(s)&&Hv(EB(tDt(k,gbe)))&&Hv(EB(tDt(s,pbe)))||Met(_,k)?w=k:Met(k,_)&&(w=_),m=n,(v=zz(FG(t.a,w),10))&&(m=v.e),hct(cKt(t,s,w,m),(hKt(),jhe),NPt(t,s,e,n)));if(f=ZM(tDt(a,ube))===ZM((cht(),wAe)))for(r=new LO((!a.a&&(a.a=new nY(YIe,a,10,11)),a.a));r.e!=r.i.gc();)E=!S7(i=zz(kwt(r),33),(lKt(),nCe))||mR(CB(tDt(i,nCe)),p1t),x=ZM(tDt(i,ube))===ZM(wAe),E&&x&&r5(o,i,o.c.b,o.c)}}function sKt(t,e,n,i,r,a){var o,s,c,u,l,h,f;switch(e){case 71:o=i.q.getFullYear()-lXt>=-1900?1:0,cI(t,n>=4?Ast(Zx(Vee,1),lWt,2,6,[fXt,dXt])[o]:Ast(Zx(Vee,1),lWt,2,6,["BC","AD"])[o]);break;case 121:uwt(t,n,i);break;case 77:KRt(t,n,i);break;case 107:_tt(t,0==(s=r.q.getHours())?24:s,n);break;case 83:ROt(t,n,r);break;case 69:c=i.q.getDay(),cI(t,5==n?Ast(Zx(Vee,1),lWt,2,6,["S","M","T","W","T","F","S"])[c]:4==n?Ast(Zx(Vee,1),lWt,2,6,[gXt,pXt,bXt,wXt,yXt,mXt,vXt])[c]:Ast(Zx(Vee,1),lWt,2,6,["Sun","Mon","Tue","Wed","Thu","Fri","Sat"])[c]);break;case 97:r.q.getHours()>=12&&r.q.getHours()<24?cI(t,Ast(Zx(Vee,1),lWt,2,6,["AM","PM"])[1]):cI(t,Ast(Zx(Vee,1),lWt,2,6,["AM","PM"])[0]);break;case 104:_tt(t,0==(u=r.q.getHours()%12)?12:u,n);break;case 75:_tt(t,r.q.getHours()%12,n);break;case 72:_tt(t,r.q.getHours(),n);break;case 99:l=i.q.getDay(),5==n?cI(t,Ast(Zx(Vee,1),lWt,2,6,["S","M","T","W","T","F","S"])[l]):4==n?cI(t,Ast(Zx(Vee,1),lWt,2,6,[gXt,pXt,bXt,wXt,yXt,mXt,vXt])[l]):3==n?cI(t,Ast(Zx(Vee,1),lWt,2,6,["Sun","Mon","Tue","Wed","Thu","Fri","Sat"])[l]):_tt(t,l,1);break;case 76:h=i.q.getMonth(),5==n?cI(t,Ast(Zx(Vee,1),lWt,2,6,["J","F","M","A","M","J","J","A","S","O","N","D"])[h]):4==n?cI(t,Ast(Zx(Vee,1),lWt,2,6,[QWt,JWt,tXt,eXt,nXt,iXt,rXt,aXt,oXt,sXt,cXt,uXt])[h]):3==n?cI(t,Ast(Zx(Vee,1),lWt,2,6,["Jan","Feb","Mar","Apr",nXt,"Jun","Jul","Aug","Sep","Oct","Nov","Dec"])[h]):_tt(t,h+1,n);break;case 81:f=i.q.getMonth()/3|0,cI(t,n<4?Ast(Zx(Vee,1),lWt,2,6,["Q1","Q2","Q3","Q4"])[f]:Ast(Zx(Vee,1),lWt,2,6,["1st quarter","2nd quarter","3rd quarter","4th quarter"])[f]);break;case 100:_tt(t,i.q.getDate(),n);break;case 109:_tt(t,r.q.getMinutes(),n);break;case 115:_tt(t,r.q.getSeconds(),n);break;case 122:cI(t,n<4?a.c[0]:a.c[1]);break;case 118:cI(t,a.b);break;case 90:cI(t,n<3?eMt(a):3==n?pMt(a):bMt(a.a));break;default:return!1}return!0}function cKt(t,e,n,i){var r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x,k,_,E,T,C,S,A;if(nRt(e),c=zz(Wet((!e.b&&(e.b=new lR(RIe,e,4,7)),e.b),0),82),l=zz(Wet((!e.c&&(e.c=new lR(RIe,e,5,8)),e.c),0),82),s=AEt(c),u=AEt(l),o=0==(!e.a&&(e.a=new nY(jIe,e,6,6)),e.a).i?null:zz(Wet((!e.a&&(e.a=new nY(jIe,e,6,6)),e.a),0),202),k=zz(FG(t.a,s),10),C=zz(FG(t.a,u),10),_=null,S=null,aO(c,186)&&(aO(x=zz(FG(t.a,c),299),11)?_=zz(x,11):aO(x,10)&&(k=zz(x,10),_=zz(PH(k.j,0),11))),aO(l,186)&&(aO(T=zz(FG(t.a,l),299),11)?S=zz(T,11):aO(T,10)&&(C=zz(T,10),S=zz(PH(C.j,0),11))),!k||!C)throw qw(new ax("The source or the target of edge "+e+" could not be found. This usually happens when an edge connects a node laid out by ELK Layered to a node in another level of hierarchy laid out by either another instance of ELK Layered or another layout algorithm alltogether. The former can be solved by setting the hierarchyHandling option to INCLUDE_CHILDREN."));for(Zot(p=new gV,e),hct(p,(hKt(),pfe),e),hct(p,(HGt(),ybe),null),d=zz(vTt(i,Jhe),21),k==C&&d.Fc((gBt(),yhe)),_||(sit(),v=Hye,E=null,o&&yL(zz(vTt(k,nwe),98))&&(V3(E=new PA(o.j,o.k),GQ(e)),e5(E,n),Met(u,s)&&(v=qye,YF(E,k.n))),_=bqt(k,E,v,i)),S||(sit(),v=qye,A=null,o&&yL(zz(vTt(C,nwe),98))&&(V3(A=new PA(o.b,o.c),GQ(e)),e5(A,n)),S=bqt(C,A,v,yK(C))),CJ(p,_),TJ(p,S),(_.e.c.length>1||_.g.c.length>1||S.e.c.length>1||S.g.c.length>1)&&d.Fc((gBt(),dhe)),f=new LO((!e.n&&(e.n=new nY(UIe,e,1,7)),e.n));f.e!=f.i.gc();)if(!Hv(EB(tDt(h=zz(kwt(f),137),Zbe)))&&h.a)switch(b=Hlt(h),Kz(p.b,b),zz(vTt(b,Vpe),272).g){case 1:case 2:d.Fc((gBt(),hhe));break;case 0:d.Fc((gBt(),uhe)),hct(b,Vpe,(Ret(),USe))}if(a=zz(vTt(i,Hpe),314),w=zz(vTt(i,$be),315),r=a==(Lit(),ule)||w==(Pyt(),wye),o&&0!=(!o.a&&(o.a=new DO(PIe,o,5)),o.a).i&&r){for(y=ZCt(o),g=new xm,m=lwt(y,0);m.b!=m.d.c;)Bq(g,new gL(zz(d3(m),8)));hct(p,bfe,g)}return p}function uKt(t){t.gb||(t.gb=!0,t.b=kot(t,0),Rrt(t.b,18),$rt(t.b,19),t.a=kot(t,1),Rrt(t.a,1),$rt(t.a,2),$rt(t.a,3),$rt(t.a,4),$rt(t.a,5),t.o=kot(t,2),Rrt(t.o,8),Rrt(t.o,9),$rt(t.o,10),$rt(t.o,11),$rt(t.o,12),$rt(t.o,13),$rt(t.o,14),$rt(t.o,15),$rt(t.o,16),$rt(t.o,17),$rt(t.o,18),$rt(t.o,19),$rt(t.o,20),$rt(t.o,21),$rt(t.o,22),$rt(t.o,23),cet(t.o),cet(t.o),cet(t.o),cet(t.o),cet(t.o),cet(t.o),cet(t.o),cet(t.o),cet(t.o),cet(t.o),t.p=kot(t,3),Rrt(t.p,2),Rrt(t.p,3),Rrt(t.p,4),Rrt(t.p,5),$rt(t.p,6),$rt(t.p,7),cet(t.p),cet(t.p),t.q=kot(t,4),Rrt(t.q,8),t.v=kot(t,5),$rt(t.v,9),cet(t.v),cet(t.v),cet(t.v),t.w=kot(t,6),Rrt(t.w,2),Rrt(t.w,3),Rrt(t.w,4),$rt(t.w,5),t.B=kot(t,7),$rt(t.B,1),cet(t.B),cet(t.B),cet(t.B),t.Q=kot(t,8),$rt(t.Q,0),cet(t.Q),t.R=kot(t,9),Rrt(t.R,1),t.S=kot(t,10),cet(t.S),cet(t.S),cet(t.S),cet(t.S),cet(t.S),cet(t.S),cet(t.S),cet(t.S),cet(t.S),cet(t.S),cet(t.S),cet(t.S),cet(t.S),cet(t.S),cet(t.S),t.T=kot(t,11),$rt(t.T,10),$rt(t.T,11),$rt(t.T,12),$rt(t.T,13),$rt(t.T,14),cet(t.T),cet(t.T),t.U=kot(t,12),Rrt(t.U,2),Rrt(t.U,3),$rt(t.U,4),$rt(t.U,5),$rt(t.U,6),$rt(t.U,7),cet(t.U),t.V=kot(t,13),$rt(t.V,10),t.W=kot(t,14),Rrt(t.W,18),Rrt(t.W,19),Rrt(t.W,20),$rt(t.W,21),$rt(t.W,22),$rt(t.W,23),t.bb=kot(t,15),Rrt(t.bb,10),Rrt(t.bb,11),Rrt(t.bb,12),Rrt(t.bb,13),Rrt(t.bb,14),Rrt(t.bb,15),Rrt(t.bb,16),$rt(t.bb,17),cet(t.bb),cet(t.bb),t.eb=kot(t,16),Rrt(t.eb,2),Rrt(t.eb,3),Rrt(t.eb,4),Rrt(t.eb,5),Rrt(t.eb,6),Rrt(t.eb,7),$rt(t.eb,8),$rt(t.eb,9),t.ab=kot(t,17),Rrt(t.ab,0),Rrt(t.ab,1),t.H=kot(t,18),$rt(t.H,0),$rt(t.H,1),$rt(t.H,2),$rt(t.H,3),$rt(t.H,4),$rt(t.H,5),cet(t.H),t.db=kot(t,19),$rt(t.db,2),t.c=_ot(t,20),t.d=_ot(t,21),t.e=_ot(t,22),t.f=_ot(t,23),t.i=_ot(t,24),t.g=_ot(t,25),t.j=_ot(t,26),t.k=_ot(t,27),t.n=_ot(t,28),t.r=_ot(t,29),t.s=_ot(t,30),t.t=_ot(t,31),t.u=_ot(t,32),t.fb=_ot(t,33),t.A=_ot(t,34),t.C=_ot(t,35),t.D=_ot(t,36),t.F=_ot(t,37),t.G=_ot(t,38),t.I=_ot(t,39),t.J=_ot(t,40),t.L=_ot(t,41),t.M=_ot(t,42),t.N=_ot(t,43),t.O=_ot(t,44),t.P=_ot(t,45),t.X=_ot(t,46),t.Y=_ot(t,47),t.Z=_ot(t,48),t.$=_ot(t,49),t._=_ot(t,50),t.cb=_ot(t,51),t.K=_ot(t,52))}function lKt(){var t,e;lKt=I,nCe=new sw(p5t),mSe=new sw(b5t),pyt(),iCe=new DI(W2t,rCe=ATe),new Dw,aCe=new DI(XQt,null),oCe=new sw(w5t),p_t(),hCe=_Z(JTe,Ast(Zx(HSe,1),OWt,291,0,[WTe])),lCe=new DI(c3t,hCe),fCe=new DI(K2t,(lN(),!1)),zht(),dCe=new DI(J2t,gCe=zSe),Cdt(),yCe=new DI(x2t,mCe=JSe),kCe=new DI(D4t,!1),cht(),_Ce=new DI(b2t,ECe=yAe),KCe=new KL(12),GCe=new DI(VQt,KCe),ACe=new DI(_Jt,!1),MCe=new DI(v3t,!1),YCe=new DI(CJt,!1),V_t(),sSe=new DI(EJt,cSe=VAe),bSe=new sw(w3t),wSe=new sw(yJt),ySe=new sw(xJt),xSe=new sw(kJt),LCe=new xm,ICe=new DI(u3t,LCe),uCe=new DI(f3t,!1),TCe=new DI(d3t,!1),new sw(y5t),OCe=new fm,DCe=new DI(y3t,OCe),UCe=new DI(Y2t,!1),new Dw,vSe=new DI(m5t,1),new DI(v5t,!0),rft(0),new DI(x5t,rft(100)),new DI(k5t,!1),rft(0),new DI(_5t,rft(4e3)),rft(0),new DI(E5t,rft(400)),new DI(T5t,!1),new DI(C5t,!1),new DI(S5t,!0),new DI(A5t,!1),zgt(),sCe=new DI(g5t,cCe=nIe),kSe=new DI(N2t,10),_Se=new DI(P2t,10),ESe=new DI(KQt,20),TSe=new DI(B2t,10),CSe=new DI(vJt,2),SSe=new DI(F2t,10),MSe=new DI(R2t,0),ISe=new DI(z2t,5),LSe=new DI($2t,1),DSe=new DI(j2t,1),OSe=new DI(mJt,20),NSe=new DI(q2t,10),FSe=new DI(H2t,10),ASe=new sw(Z2t),BSe=new fL,PSe=new DI(m3t,BSe),VCe=new sw(b3t),WCe=new DI(p3t,XCe=!1),PCe=new KL(5),NCe=new DI(t3t,PCe),eDt(),e=zz(Wk(ZAe),9),FCe=new VR(e,zz(CF(e,e.length),9),0),BCe=new DI(MJt,FCe),owt(),JCe=new DI(i3t,tSe=zAe),nSe=new sw(r3t),iSe=new sw(a3t),rSe=new sw(o3t),eSe=new sw(s3t),t=zz(Wk(VMe),9),$Ce=new VR(t,zz(CF(t,t.length),9),0),RCe=new DI(AJt,$Ce),ZCe=edt((e$t(),ZMe)),HCe=new DI(SJt,ZCe),qCe=new PA(0,0),zCe=new DI(qJt,qCe),jCe=new DI(Q2t,!1),Ret(),bCe=new DI(l3t,wCe=USe),pCe=new DI(TJt,!1),new sw(M5t),rft(1),new DI(I5t,null),aSe=new sw(g3t),uSe=new sw(h3t),kYt(),gSe=new DI(G2t,pSe=SMe),oSe=new sw(U2t),dMt(),fSe=edt(rMe),hSe=new DI(IJt,fSe),lSe=new DI(e3t,!1),dSe=new DI(n3t,!0),CCe=new DI(X2t,!1),SCe=new DI(V2t,!1),vCe=new DI(WQt,1),eTt(),new DI(L5t,xCe=oAe),QCe=!0}function hKt(){var t,e;hKt=I,pfe=new sw(LJt),jhe=new sw("coordinateOrigin"),Tfe=new sw("processors"),$he=new iF("compoundNode",(lN(),!1)),nfe=new iF("insideConnections",!1),bfe=new sw("originalBendpoints"),wfe=new sw("originalDummyNodePosition"),yfe=new sw("originalLabelEdge"),Sfe=new sw("representedLabels"),Uhe=new sw("endLabels"),Yhe=new sw("endLabel.origin"),sfe=new iF("labelSide",(Kvt(),TAe)),dfe=new iF("maxEdgeThickness",0),Afe=new iF("reversed",!1),Cfe=new sw(DJt),lfe=new iF("longEdgeSource",null),hfe=new iF("longEdgeTarget",null),ufe=new iF("longEdgeHasLabelDummies",!1),cfe=new iF("longEdgeBeforeLabelDummy",!1),Zhe=new iF("edgeConstraint",(Jst(),Lle)),rfe=new sw("inLayerLayoutUnit"),ife=new iF("inLayerConstraint",(U9(),She)),afe=new iF("inLayerSuccessorConstraint",new Nw),ofe=new iF("inLayerSuccessorConstraintBetweenNonDummies",!1),_fe=new sw("portDummy"),zhe=new iF("crossingHint",rft(0)),Jhe=new iF("graphProperties",new VR(e=zz(Wk(Ehe),9),zz(CF(e,e.length),9),0)),Xhe=new iF("externalPortSide",(kYt(),SMe)),Vhe=new iF("externalPortSize",new Zk),Khe=new sw("externalPortReplacedDummies"),Whe=new sw("externalPortReplacedDummy"),Ghe=new iF("externalPortConnections",new VR(t=zz(Wk(jMe),9),zz(CF(t,t.length),9),0)),Efe=new iF(bQt,0),Phe=new sw("barycenterAssociates"),Rfe=new sw("TopSideComments"),Bhe=new sw("BottomSideComments"),Rhe=new sw("CommentConnectionPort"),efe=new iF("inputCollect",!1),xfe=new iF("outputCollect",!1),Hhe=new iF("cyclic",!1),qhe=new sw("crossHierarchyMap"),Ffe=new sw("targetOffset"),new iF("splineLabelSize",new Zk),Lfe=new sw("spacings"),kfe=new iF("partitionConstraint",!1),Fhe=new sw("breakingPoint.info"),Pfe=new sw("splines.survivingEdge"),Nfe=new sw("splines.route.start"),Dfe=new sw("splines.edgeChain"),vfe=new sw("originalPortConstraints"),Ife=new sw("selfLoopHolder"),Ofe=new sw("splines.nsPortY"),gfe=new sw("modelOrder"),ffe=new sw("longEdgeTargetNode"),Qhe=new iF(Y1t,!1),Mfe=new iF(Y1t,!1),tfe=new sw("layerConstraints.hiddenNodes"),mfe=new sw("layerConstraints.opposidePort"),Bfe=new sw("targetNode.modelOrder")}function fKt(){fKt=I,$tt(),Cde=new DI(G1t,Sde=Cle),Zde=new DI(K1t,(lN(),!1)),U2(),Wde=new DI(W1t,Xde=Lhe),gge=new DI(X1t,!1),pge=new DI(V1t,!0),Yfe=new DI(Q1t,!1),Y9(),Nge=new DI(J1t,Pge=Rye),rft(1),Hge=new DI(t0t,rft(7)),Zge=new DI(e0t,!1),Ude=new DI(n0t,!1),Xyt(),Ede=new DI(i0t,Tde=vle),TEt(),fge=new DI(r0t,dge=eye),Tdt(),nge=new DI(a0t,ige=Hfe),rft(-1),ege=new DI(o0t,rft(-1)),rft(-1),rge=new DI(s0t,rft(-1)),rft(-1),age=new DI(c0t,rft(4)),rft(-1),sge=new DI(u0t,rft(2)),lNt(),lge=new DI(l0t,hge=Mye),rft(0),uge=new DI(h0t,rft(0)),Jde=new DI(f0t,rft(FKt)),Lit(),kde=new DI(d0t,_de=lle),sde=new DI(g0t,!1),bde=new DI(p0t,.1),vde=new DI(b0t,!1),rft(-1),yde=new DI(w0t,rft(-1)),rft(-1),mde=new DI(y0t,rft(-1)),rft(0),cde=new DI(m0t,rft(40)),$ot(),dde=new DI(v0t,gde=_he),ude=new DI(x0t,lde=xhe),Pyt(),Dge=new DI(k0t,Oge=bye),kge=new sw(_0t),b9(),bge=new DI(E0t,wge=Hle),qkt(),mge=new DI(T0t,vge=Xle),new Dw,Tge=new DI(C0t,.3),Sge=new sw(S0t),gyt(),Age=new DI(A0t,Mge=fye),Hat(),Nde=new DI(M0t,Pde=Kye),L6(),Bde=new DI(I0t,Fde=Jye),Gut(),Rde=new DI(L0t,$de=rme),zde=new DI(D0t,.2),Dde=new DI(O0t,2),$ge=new DI(N0t,null),zge=new DI(P0t,10),jge=new DI(B0t,10),qge=new DI(F0t,20),rft(0),Bge=new DI(R0t,rft(0)),rft(0),Fge=new DI($0t,rft(0)),rft(0),Rge=new DI(j0t,rft(0)),Gfe=new DI(z0t,!1),JTt(),Xfe=new DI(q0t,Vfe=ahe),W7(),Kfe=new DI(H0t,Wfe=ole),Gde=new DI(Z0t,!1),rft(0),Yde=new DI(U0t,rft(16)),rft(0),Kde=new DI(Y0t,rft(5)),Ost(),fpe=new DI(G0t,dpe=dme),Uge=new DI(K0t,10),Kge=new DI(W0t,1),cit(),npe=new DI(X0t,ipe=ble),Vge=new sw(V0t),tpe=rft(1),rft(0),Jge=new DI(Q0t,tpe),bat(),wpe=new DI(J0t,ype=sme),gpe=new sw(t2t),cpe=new DI(e2t,!0),ope=new DI(n2t,2),lpe=new DI(i2t,!0),wCt(),Ide=new DI(r2t,Lde=$le),OSt(),Ade=new DI(a2t,Mde=Jue),vct(),ade=new DI(o2t,ode=Nye),rde=new DI(s2t,!1),qht(),Qfe=new DI(c2t,Jfe=gse),Clt(),nde=new DI(u2t,ide=aye),tde=new DI(l2t,0),ede=new DI(h2t,0),Qde=kle,Vde=ule,oge=tye,cge=tye,tge=Vwe,cht(),wde=wAe,xde=lle,pde=lle,hde=lle,fde=wAe,_ge=mye,Ege=bye,yge=bye,xge=bye,Cge=yye,Lge=mye,Ige=mye,Cdt(),jde=QSe,qde=QSe,Hde=rme,Ode=VSe,Yge=gme,Gge=fme,Wge=gme,Xge=fme,rpe=gme,ape=fme,Qge=ple,epe=ble,mpe=gme,vpe=fme,ppe=gme,bpe=fme,upe=fme,spe=fme,hpe=fme}function dKt(){dKt=I,rce=new tS("DIRECTION_PREPROCESSOR",0),ece=new tS("COMMENT_PREPROCESSOR",1),ace=new tS("EDGE_AND_LAYER_CONSTRAINT_EDGE_REVERSER",2),xce=new tS("INTERACTIVE_EXTERNAL_PORT_POSITIONER",3),jce=new tS("PARTITION_PREPROCESSOR",4),Tce=new tS("LABEL_DUMMY_INSERTER",5),Yce=new tS("SELF_LOOP_PREPROCESSOR",6),Ice=new tS("LAYER_CONSTRAINT_PREPROCESSOR",7),Rce=new tS("PARTITION_MIDPROCESSOR",8),bce=new tS("HIGH_DEGREE_NODE_LAYER_PROCESSOR",9),Nce=new tS("NODE_PROMOTION",10),Mce=new tS("LAYER_CONSTRAINT_POSTPROCESSOR",11),$ce=new tS("PARTITION_POSTPROCESSOR",12),fce=new tS("HIERARCHICAL_PORT_CONSTRAINT_PROCESSOR",13),Kce=new tS("SEMI_INTERACTIVE_CROSSMIN_PROCESSOR",14),Wse=new tS("BREAKING_POINT_INSERTER",15),Oce=new tS("LONG_EDGE_SPLITTER",16),qce=new tS("PORT_SIDE_PROCESSOR",17),kce=new tS("INVERTED_PORT_PROCESSOR",18),zce=new tS("PORT_LIST_SORTER",19),Xce=new tS("SORT_BY_INPUT_ORDER_OF_MODEL",20),Bce=new tS("NORTH_SOUTH_PORT_PREPROCESSOR",21),Xse=new tS("BREAKING_POINT_PROCESSOR",22),Fce=new tS(E1t,23),Vce=new tS(T1t,24),Zce=new tS("SELF_LOOP_PORT_RESTORER",25),Wce=new tS("SINGLE_EDGE_GRAPH_WRAPPER",26),_ce=new tS("IN_LAYER_CONSTRAINT_PROCESSOR",27),uce=new tS("END_NODE_PORT_LABEL_MANAGEMENT_PROCESSOR",28),Ece=new tS("LABEL_AND_NODE_SIZE_PROCESSOR",29),vce=new tS("INNERMOST_NODE_MARGIN_CALCULATOR",30),Gce=new tS("SELF_LOOP_ROUTER",31),Jse=new tS("COMMENT_NODE_MARGIN_CALCULATOR",32),sce=new tS("END_LABEL_PREPROCESSOR",33),Sce=new tS("LABEL_DUMMY_SWITCHER",34),Qse=new tS("CENTER_LABEL_MANAGEMENT_PROCESSOR",35),Ace=new tS("LABEL_SIDE_SELECTOR",36),yce=new tS("HYPEREDGE_DUMMY_MERGER",37),dce=new tS("HIERARCHICAL_PORT_DUMMY_SIZE_PROCESSOR",38),Lce=new tS("LAYER_SIZE_AND_GRAPH_HEIGHT_CALCULATOR",39),pce=new tS("HIERARCHICAL_PORT_POSITION_PROCESSOR",40),nce=new tS("CONSTRAINTS_POSTPROCESSOR",41),tce=new tS("COMMENT_POSTPROCESSOR",42),mce=new tS("HYPERNODE_PROCESSOR",43),gce=new tS("HIERARCHICAL_PORT_ORTHOGONAL_EDGE_ROUTER",44),Dce=new tS("LONG_EDGE_JOINER",45),Uce=new tS("SELF_LOOP_POSTPROCESSOR",46),Vse=new tS("BREAKING_POINT_REMOVER",47),Pce=new tS("NORTH_SOUTH_PORT_POSTPROCESSOR",48),wce=new tS("HORIZONTAL_COMPACTOR",49),Cce=new tS("LABEL_DUMMY_REMOVER",50),lce=new tS("FINAL_SPLINE_BENDPOINTS_CALCULATOR",51),cce=new tS("END_LABEL_SORTER",52),Hce=new tS("REVERSED_EDGE_RESTORER",53),oce=new tS("END_LABEL_POSTPROCESSOR",54),hce=new tS("HIERARCHICAL_NODE_RESIZER",55),ice=new tS("DIRECTION_POSTPROCESSOR",56)}function gKt(t,e,i){var r,a,o,s,c,u,l,h,f,d,g,p,b,w,y,m,v,x,k,_,E,T,C,S,A,M,I,L,D,O,N,P,B,F,R,$,j,z,q,H,Z,U,Y,G,K,W,X,V,Q,J,tt,et,nt,it,rt,at,ot,st;for(Q=0,O=0,B=(I=e).length;O<B;++O)for(Z=new Kd((A=I[O]).j);Z.a<Z.c.c.length;){for(Y=0,c=new Kd((H=zz(t0(Z),11)).g);c.a<c.c.c.length;)s=zz(t0(c),17),A.c!=s.d.i.c&&++Y;Y>0&&(t.a[H.p]=Q++)}for(it=0,N=0,F=(L=i).length;N<F;++N){for(R=0,Z=new Kd((A=L[N]).j);Z.a<Z.c.c.length&&(H=zz(t0(Z),11)).j==(kYt(),uMe);)for(c=new Kd(H.e);c.a<c.c.c.length;)if(s=zz(t0(c),17),A.c!=s.c.i.c){++R;break}for(j=0,G=new T2(A.j,A.j.c.length);G.b>0;){for(SP(G.b>0),Y=0,c=new Kd((H=zz(G.a.Xb(G.c=--G.b),11)).e);c.a<c.c.c.length;)s=zz(t0(c),17),A.c!=s.c.i.c&&++Y;Y>0&&(H.j==(kYt(),uMe)?(t.a[H.p]=it,++it):(t.a[H.p]=it+R+j,++j))}it+=j}for(U=new Pw,p=new hL,D=0,P=(M=e).length;D<P;++D)for(et=new Kd((A=M[D]).j);et.a<et.c.c.length;)for(c=new Kd((tt=zz(t0(et),11)).g);c.a<c.c.c.length;)if(at=(s=zz(t0(c),17)).d,A.c!=at.i.c)if(J=zz(HM(LV(U.f,tt)),467),rt=zz(HM(LV(U.f,at)),467),J||rt)if(J)if(rt)if(J==rt)Kz(J.a,s);else{for(Kz(J.a,s),q=new Kd(rt.d);q.a<q.c.c.length;)z=zz(t0(q),11),_At(U.f,z,J);wst(J.a,rt.a),wst(J.d,rt.d),p.a.Bc(rt)}else Kz(J.a,s),Kz(J.d,at),_At(U.f,at,J);else Kz(rt.a,s),Kz(rt.d,tt),_At(U.f,tt,rt);else g=new BF,p.a.zc(g,p),Kz(g.a,s),Kz(g.d,tt),_At(U.f,tt,g),Kz(g.d,at),_At(U.f,at,g);for(b=zz(Emt(p,P7(jme,{3:1,4:1,5:1,1946:1},467,p.a.gc(),0,1)),1946),S=e[0].c,V=i[0].c,f=0,d=(h=b).length;f<d;++f)for((l=h[f]).e=Q,l.f=it,Z=new Kd(l.d);Z.a<Z.c.c.length;)H=zz(t0(Z),11),K=t.a[H.p],H.i.c==S?(K<l.e&&(l.e=K),K>l.b&&(l.b=K)):H.i.c==V&&(K<l.f&&(l.f=K),K>l.c&&(l.c=K));for(U8(b,0,b.length,null),nt=P7(LNe,hXt,25,b.length,15,1),r=P7(LNe,hXt,25,it+1,15,1),y=0;y<b.length;y++)nt[y]=b[y].f,r[nt[y]]=1;for(o=0,m=0;m<r.length;m++)1==r[m]?r[m]=o:--o;for(W=0,v=0;v<nt.length;v++)nt[v]+=r[nt[v]],W=n.Math.max(W,nt[v]+1);for(u=1;u<W;)u*=2;for(st=2*u-1,u-=1,ot=P7(LNe,hXt,25,st,15,1),a=0,T=0;T<nt.length;T++)for(++ot[E=nt[T]+u];E>0;)E%2>0&&(a+=ot[E+1]),++ot[E=(E-1)/2|0];for(C=P7(Hme,HKt,362,2*b.length,0,1),x=0;x<b.length;x++)C[2*x]=new HW(b[x],b[x].e,b[x].b,(X4(),qme)),C[2*x+1]=new HW(b[x],b[x].b,b[x].e,zme);for(U8(C,0,C.length,null),$=0,k=0;k<C.length;k++)switch(C[k].d.g){case 0:++$;break;case 1:a+=--$}for(X=P7(Hme,HKt,362,2*b.length,0,1),_=0;_<b.length;_++)X[2*_]=new HW(b[_],b[_].f,b[_].c,(X4(),qme)),X[2*_+1]=new HW(b[_],b[_].c,b[_].f,zme);for(U8(X,0,X.length,null),$=0,w=0;w<X.length;w++)switch(X[w].d.g){case 0:++$;break;case 1:a+=--$}return a}function pKt(){pKt=I,uNe=new Lw(7),lNe=new cZ(8,94),new cZ(8,64),hNe=new cZ(8,36),wNe=new cZ(8,65),yNe=new cZ(8,122),mNe=new cZ(8,90),kNe=new cZ(8,98),pNe=new cZ(8,66),vNe=new cZ(8,60),_Ne=new cZ(8,62),cNe=new Lw(11),QPt(sNe=new T0(4),48,57),QPt(xNe=new T0(4),48,57),QPt(xNe,65,90),QPt(xNe,95,95),QPt(xNe,97,122),QPt(bNe=new T0(4),9,9),QPt(bNe,10,10),QPt(bNe,12,12),QPt(bNe,13,13),QPt(bNe,32,32),fNe=Ojt(sNe),gNe=Ojt(xNe),dNe=Ojt(bNe),iNe=new Pw,rNe=new Pw,aNe=Ast(Zx(Vee,1),lWt,2,6,["Cn","Lu","Ll","Lt","Lm","Lo","Mn","Me","Mc","Nd","Nl","No","Zs","Zl","Zp","Cc","Cf",null,"Co","Cs","Pd","Ps","Pe","Pc","Po","Sm","Sc","Sk","So","Pi","Pf","L","M","N","Z","C","P","S"]),nNe=Ast(Zx(Vee,1),lWt,2,6,["Basic Latin","Latin-1 Supplement","Latin Extended-A","Latin Extended-B","IPA Extensions","Spacing Modifier Letters","Combining Diacritical Marks","Greek","Cyrillic","Armenian","Hebrew","Arabic","Syriac","Thaana","Devanagari","Bengali","Gurmukhi","Gujarati","Oriya","Tamil","Telugu","Kannada","Malayalam","Sinhala","Thai","Lao","Tibetan","Myanmar","Georgian","Hangul Jamo","Ethiopic","Cherokee","Unified Canadian Aboriginal Syllabics","Ogham","Runic","Khmer","Mongolian","Latin Extended Additional","Greek Extended","General Punctuation","Superscripts and Subscripts","Currency Symbols","Combining Marks for Symbols","Letterlike Symbols","Number Forms","Arrows","Mathematical Operators","Miscellaneous Technical","Control Pictures","Optical Character Recognition","Enclosed Alphanumerics","Box Drawing","Block Elements","Geometric Shapes","Miscellaneous Symbols","Dingbats","Braille Patterns","CJK Radicals Supplement","Kangxi Radicals","Ideographic Description Characters","CJK Symbols and Punctuation","Hiragana","Katakana","Bopomofo","Hangul Compatibility Jamo","Kanbun","Bopomofo Extended","Enclosed CJK Letters and Months","CJK Compatibility","CJK Unified Ideographs Extension A","CJK Unified Ideographs","Yi Syllables","Yi Radicals","Hangul Syllables",wte,"CJK Compatibility Ideographs","Alphabetic Presentation Forms","Arabic Presentation Forms-A","Combining Half Marks","CJK Compatibility Forms","Small Form Variants","Arabic Presentation Forms-B","Specials","Halfwidth and Fullwidth Forms","Old Italic","Gothic","Deseret","Byzantine Musical Symbols","Musical Symbols","Mathematical Alphanumeric Symbols","CJK Unified Ideographs Extension B","CJK Compatibility Ideographs Supplement","Tags"]),oNe=Ast(Zx(LNe,1),hXt,25,15,[66304,66351,66352,66383,66560,66639,118784,119039,119040,119295,119808,120831,131072,173782,194560,195103,917504,917631])}function bKt(){bKt=I,Sre=new uat("OUT_T_L",0,(Q8(),Vie),(Z9(),ire),(Fet(),Zie),Zie,Ast(Zx(Fte,1),HKt,21,0,[_Z((eDt(),OAe),Ast(Zx(ZAe,1),OWt,93,0,[BAe,MAe]))])),Cre=new uat("OUT_T_C",1,Xie,ire,Zie,Uie,Ast(Zx(Fte,1),HKt,21,0,[_Z(OAe,Ast(Zx(ZAe,1),OWt,93,0,[BAe,AAe])),_Z(OAe,Ast(Zx(ZAe,1),OWt,93,0,[BAe,AAe,IAe]))])),Are=new uat("OUT_T_R",2,Qie,ire,Zie,Yie,Ast(Zx(Fte,1),HKt,21,0,[_Z(OAe,Ast(Zx(ZAe,1),OWt,93,0,[BAe,LAe]))])),yre=new uat("OUT_B_L",3,Vie,are,Yie,Zie,Ast(Zx(Fte,1),HKt,21,0,[_Z(OAe,Ast(Zx(ZAe,1),OWt,93,0,[NAe,MAe]))])),wre=new uat("OUT_B_C",4,Xie,are,Yie,Uie,Ast(Zx(Fte,1),HKt,21,0,[_Z(OAe,Ast(Zx(ZAe,1),OWt,93,0,[NAe,AAe])),_Z(OAe,Ast(Zx(ZAe,1),OWt,93,0,[NAe,AAe,IAe]))])),mre=new uat("OUT_B_R",5,Qie,are,Yie,Yie,Ast(Zx(Fte,1),HKt,21,0,[_Z(OAe,Ast(Zx(ZAe,1),OWt,93,0,[NAe,LAe]))])),kre=new uat("OUT_L_T",6,Qie,are,Zie,Zie,Ast(Zx(Fte,1),HKt,21,0,[_Z(OAe,Ast(Zx(ZAe,1),OWt,93,0,[MAe,BAe,IAe]))])),xre=new uat("OUT_L_C",7,Qie,rre,Uie,Zie,Ast(Zx(Fte,1),HKt,21,0,[_Z(OAe,Ast(Zx(ZAe,1),OWt,93,0,[MAe,PAe])),_Z(OAe,Ast(Zx(ZAe,1),OWt,93,0,[MAe,PAe,IAe]))])),vre=new uat("OUT_L_B",8,Qie,ire,Yie,Zie,Ast(Zx(Fte,1),HKt,21,0,[_Z(OAe,Ast(Zx(ZAe,1),OWt,93,0,[MAe,NAe,IAe]))])),Tre=new uat("OUT_R_T",9,Vie,are,Zie,Yie,Ast(Zx(Fte,1),HKt,21,0,[_Z(OAe,Ast(Zx(ZAe,1),OWt,93,0,[LAe,BAe,IAe]))])),Ere=new uat("OUT_R_C",10,Vie,rre,Uie,Yie,Ast(Zx(Fte,1),HKt,21,0,[_Z(OAe,Ast(Zx(ZAe,1),OWt,93,0,[LAe,PAe])),_Z(OAe,Ast(Zx(ZAe,1),OWt,93,0,[LAe,PAe,IAe]))])),_re=new uat("OUT_R_B",11,Vie,ire,Yie,Yie,Ast(Zx(Fte,1),HKt,21,0,[_Z(OAe,Ast(Zx(ZAe,1),OWt,93,0,[LAe,NAe,IAe]))])),pre=new uat("IN_T_L",12,Vie,are,Zie,Zie,Ast(Zx(Fte,1),HKt,21,0,[_Z(DAe,Ast(Zx(ZAe,1),OWt,93,0,[BAe,MAe])),_Z(DAe,Ast(Zx(ZAe,1),OWt,93,0,[BAe,MAe,IAe]))])),gre=new uat("IN_T_C",13,Xie,are,Zie,Uie,Ast(Zx(Fte,1),HKt,21,0,[_Z(DAe,Ast(Zx(ZAe,1),OWt,93,0,[BAe,AAe])),_Z(DAe,Ast(Zx(ZAe,1),OWt,93,0,[BAe,AAe,IAe]))])),bre=new uat("IN_T_R",14,Qie,are,Zie,Yie,Ast(Zx(Fte,1),HKt,21,0,[_Z(DAe,Ast(Zx(ZAe,1),OWt,93,0,[BAe,LAe])),_Z(DAe,Ast(Zx(ZAe,1),OWt,93,0,[BAe,LAe,IAe]))])),fre=new uat("IN_C_L",15,Vie,rre,Uie,Zie,Ast(Zx(Fte,1),HKt,21,0,[_Z(DAe,Ast(Zx(ZAe,1),OWt,93,0,[PAe,MAe])),_Z(DAe,Ast(Zx(ZAe,1),OWt,93,0,[PAe,MAe,IAe]))])),hre=new uat("IN_C_C",16,Xie,rre,Uie,Uie,Ast(Zx(Fte,1),HKt,21,0,[_Z(DAe,Ast(Zx(ZAe,1),OWt,93,0,[PAe,AAe])),_Z(DAe,Ast(Zx(ZAe,1),OWt,93,0,[PAe,AAe,IAe]))])),dre=new uat("IN_C_R",17,Qie,rre,Uie,Yie,Ast(Zx(Fte,1),HKt,21,0,[_Z(DAe,Ast(Zx(ZAe,1),OWt,93,0,[PAe,LAe])),_Z(DAe,Ast(Zx(ZAe,1),OWt,93,0,[PAe,LAe,IAe]))])),ure=new uat("IN_B_L",18,Vie,ire,Yie,Zie,Ast(Zx(Fte,1),HKt,21,0,[_Z(DAe,Ast(Zx(ZAe,1),OWt,93,0,[NAe,MAe])),_Z(DAe,Ast(Zx(ZAe,1),OWt,93,0,[NAe,MAe,IAe]))])),cre=new uat("IN_B_C",19,Xie,ire,Yie,Uie,Ast(Zx(Fte,1),HKt,21,0,[_Z(DAe,Ast(Zx(ZAe,1),OWt,93,0,[NAe,AAe])),_Z(DAe,Ast(Zx(ZAe,1),OWt,93,0,[NAe,AAe,IAe]))])),lre=new uat("IN_B_R",20,Qie,ire,Yie,Yie,Ast(Zx(Fte,1),HKt,21,0,[_Z(DAe,Ast(Zx(ZAe,1),OWt,93,0,[NAe,LAe])),_Z(DAe,Ast(Zx(ZAe,1),OWt,93,0,[NAe,LAe,IAe]))])),Mre=new uat(hQt,21,null,null,null,null,Ast(Zx(Fte,1),HKt,21,0,[]))}function 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Furthermore, full layout of compound graphs with cross-hierarchy edges is supported when the respective option is activated on the top level."),new 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vKt(t,e){var n;return tNe||(tNe=new Pw,eNe=new Pw,pKt(),pKt(),xpt(n=new T0(4),"\t\n\r\r  "),mJ(tNe,fte,n),mJ(eNe,fte,Ojt(n)),xpt(n=new T0(4),pte),mJ(tNe,lte,n),mJ(eNe,lte,Ojt(n)),xpt(n=new T0(4),pte),mJ(tNe,lte,n),mJ(eNe,lte,Ojt(n)),xpt(n=new T0(4),bte),lqt(n,zz(CQ(tNe,lte),117)),mJ(tNe,hte,n),mJ(eNe,hte,Ojt(n)),xpt(n=new T0(4),"-.0:AZ__az··ÀÖØöøıĴľŁňŊžƀǃǍǰǴǵǺȗɐʨʻˁːˑ̀͠͡ͅΆΊΌΌΎΡΣώϐϖϚϚϜϜϞϞϠϠϢϳЁЌЎяёќўҁ҃҆ҐӄӇӈӋӌӐӫӮӵӸӹԱՖՙՙաֆֹֻֽֿֿׁׂ֑֣֡ׄׄאתװײءغـْ٠٩ٰڷںھۀێېۓە۪ۭۨ۰۹ँःअह़्॑॔क़ॣ०९ঁঃঅঌএঐওনপরললশহ়়াৄেৈো্ৗৗড়ঢ়য়ৣ০ৱਂਂਅਊਏਐਓਨਪਰਲਲ਼ਵਸ਼ਸਹ਼਼ਾੂੇੈੋ੍ਖ਼ੜਫ਼ਫ਼੦ੴઁઃઅઋઍઍએઑઓનપરલળવહ઼ૅેૉો્ૠૠ૦૯ଁଃଅଌଏଐଓନପରଲଳଶହ଼ୃେୈୋ୍ୖୗଡ଼ଢ଼ୟୡ୦୯ஂஃஅஊஎஐஒகஙசஜஜஞடணதநபமவஷஹாூெைொ்ௗௗ௧௯ఁఃఅఌఎఐఒనపళవహాౄెైొ్ౕౖౠౡ౦౯ಂಃಅಌಎಐಒನಪಳವಹಾೄೆೈೊ್ೕೖೞೞೠೡ೦೯ംഃഅഌഎഐഒനപഹാൃെൈൊ്ൗൗൠൡ൦൯กฮะฺเ๎๐๙ກຂຄຄງຈຊຊຍຍດທນຟມຣລລວວສຫອຮະູົຽເໄໆໆ່ໍ໐໙༘༙༠༩༹༹༵༵༷༷༾ཇཉཀྵ྄ཱ྆ྋྐྕྗྗྙྭྱྷྐྵྐྵႠჅაჶᄀᄀᄂᄃᄅᄇᄉᄉᄋᄌᄎᄒᄼᄼᄾᄾᅀᅀᅌᅌᅎᅎᅐᅐᅔᅕᅙᅙᅟᅡᅣᅣᅥᅥᅧᅧᅩᅩᅭᅮᅲᅳᅵᅵᆞᆞᆨᆨᆫᆫᆮᆯᆷᆸᆺᆺᆼᇂᇫᇫᇰᇰᇹᇹḀẛẠỹἀἕἘἝἠὅὈὍὐὗὙὙὛὛὝὝὟώᾀᾴᾶᾼιιῂῄῆῌῐΐῖΊῠῬῲῴῶῼ⃐⃜⃡⃡ΩΩKÅ℮℮ↀↂ々々〇〇〡〯〱〵ぁゔ゙゚ゝゞァヺーヾㄅㄬ一龥가힣"),mJ(tNe,dte,n),mJ(eNe,dte,Ojt(n)),xpt(n=new T0(4),bte),QPt(n,95,95),QPt(n,58,58),mJ(tNe,gte,n),mJ(eNe,gte,Ojt(n))),zz(CQ(e?tNe:eNe,t),136)}function xKt(t){XDt(t.a,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"anySimpleType"])),XDt(t.b,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"anyType",z8t,$8t])),XDt(zz(Wet(XX(t.b),0),34),j8t,Ast(Zx(Vee,1),lWt,2,6,[z8t,v9t,n7t,":mixed"])),XDt(zz(Wet(XX(t.b),1),34),j8t,Ast(Zx(Vee,1),lWt,2,6,[z8t,v9t,C9t,A9t,n7t,":1",F9t,"lax"])),XDt(zz(Wet(XX(t.b),2),34),j8t,Ast(Zx(Vee,1),lWt,2,6,[z8t,y9t,C9t,A9t,n7t,":2",F9t,"lax"])),XDt(t.c,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"anyURI",T9t,x9t])),XDt(t.d,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"base64Binary",T9t,x9t])),XDt(t.e,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,OKt,T9t,x9t])),XDt(t.f,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"boolean:Object",J8t,OKt])),XDt(t.g,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,S8t])),XDt(t.i,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"byte:Object",J8t,S8t])),XDt(t.j,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"date",T9t,x9t])),XDt(t.k,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"dateTime",T9t,x9t])),XDt(t.n,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"decimal",T9t,x9t])),XDt(t.o,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,M8t,T9t,x9t])),XDt(t.p,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"double:Object",J8t,M8t])),XDt(t.q,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"duration",T9t,x9t])),XDt(t.s,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"ENTITIES",J8t,R9t,$9t,"1"])),XDt(t.r,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,R9t,k9t,j9t])),XDt(t.t,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,j9t,J8t,z9t])),XDt(t.u,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,I8t,T9t,x9t])),XDt(t.v,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"float:Object",J8t,I8t])),XDt(t.w,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"gDay",T9t,x9t])),XDt(t.B,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"gMonth",T9t,x9t])),XDt(t.A,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"gMonthDay",T9t,x9t])),XDt(t.C,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"gYear",T9t,x9t])),XDt(t.D,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"gYearMonth",T9t,x9t])),XDt(t.F,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"hexBinary",T9t,x9t])),XDt(t.G,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"ID",J8t,z9t])),XDt(t.H,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"IDREF",J8t,z9t])),XDt(t.J,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"IDREFS",J8t,q9t,$9t,"1"])),XDt(t.I,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,q9t,k9t,"IDREF"])),XDt(t.K,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,L8t])),XDt(t.M,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,H9t])),XDt(t.L,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"int:Object",J8t,L8t])),XDt(t.P,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"language",J8t,Z9t,U9t,Y9t])),XDt(t.Q,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,D8t])),XDt(t.R,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"long:Object",J8t,D8t])),XDt(t.S,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"Name",J8t,Z9t,U9t,G9t])),XDt(t.T,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,z9t,J8t,"Name",U9t,K9t])),XDt(t.U,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"negativeInteger",J8t,W9t,X9t,"-1"])),XDt(t.V,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,V9t,J8t,Z9t,U9t,"\\c+"])),XDt(t.X,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"NMTOKENS",J8t,Q9t,$9t,"1"])),XDt(t.W,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,Q9t,k9t,V9t])),XDt(t.Y,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,J9t,J8t,H9t,tte,"0"])),XDt(t.Z,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,W9t,J8t,H9t,X9t,"0"])),XDt(t.$,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,ete,J8t,PKt,T9t,"replace"])),XDt(t._,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"NOTATION",T9t,x9t])),XDt(t.ab,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"positiveInteger",J8t,J9t,tte,"1"])),XDt(t.bb,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"processingInstruction_._type",z8t,"empty"])),XDt(zz(Wet(XX(t.bb),0),34),j8t,Ast(Zx(Vee,1),lWt,2,6,[z8t,w9t,n7t,"data"])),XDt(zz(Wet(XX(t.bb),1),34),j8t,Ast(Zx(Vee,1),lWt,2,6,[z8t,w9t,n7t,Q6t])),XDt(t.cb,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"QName",T9t,x9t])),XDt(t.db,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,O8t])),XDt(t.eb,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"short:Object",J8t,O8t])),XDt(t.fb,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"simpleAnyType",z8t,b9t])),XDt(zz(Wet(XX(t.fb),0),34),j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,":3",z8t,b9t])),XDt(zz(Wet(XX(t.fb),1),34),j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,":4",z8t,b9t])),XDt(zz(Wet(XX(t.fb),2),18),j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,":5",z8t,b9t])),XDt(t.gb,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,PKt,T9t,"preserve"])),XDt(t.hb,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"time",T9t,x9t])),XDt(t.ib,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,Z9t,J8t,ete,T9t,x9t])),XDt(t.jb,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,nte,X9t,"255",tte,"0"])),XDt(t.kb,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"unsignedByte:Object",J8t,nte])),XDt(t.lb,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,ite,X9t,"4294967295",tte,"0"])),XDt(t.mb,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"unsignedInt:Object",J8t,ite])),XDt(t.nb,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"unsignedLong",J8t,J9t,X9t,rte,tte,"0"])),XDt(t.ob,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,ate,X9t,"65535",tte,"0"])),XDt(t.pb,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"unsignedShort:Object",J8t,ate])),XDt(t.qb,j8t,Ast(Zx(Vee,1),lWt,2,6,[n7t,"",z8t,$8t])),XDt(zz(Wet(XX(t.qb),0),34),j8t,Ast(Zx(Vee,1),lWt,2,6,[z8t,v9t,n7t,":mixed"])),XDt(zz(Wet(XX(t.qb),1),18),j8t,Ast(Zx(Vee,1),lWt,2,6,[z8t,w9t,n7t,"xmlns:prefix"])),XDt(zz(Wet(XX(t.qb),2),18),j8t,Ast(Zx(Vee,1),lWt,2,6,[z8t,w9t,n7t,"xsi:schemaLocation"])),XDt(zz(Wet(XX(t.qb),3),34),j8t,Ast(Zx(Vee,1),lWt,2,6,[z8t,m9t,n7t,"cDATA",_9t,E9t])),XDt(zz(Wet(XX(t.qb),4),34),j8t,Ast(Zx(Vee,1),lWt,2,6,[z8t,m9t,n7t,"comment",_9t,E9t])),XDt(zz(Wet(XX(t.qb),5),18),j8t,Ast(Zx(Vee,1),lWt,2,6,[z8t,m9t,n7t,ote,_9t,E9t])),XDt(zz(Wet(XX(t.qb),6),34),j8t,Ast(Zx(Vee,1),lWt,2,6,[z8t,m9t,n7t,L6t,_9t,E9t]))}function kKt(t){return mR("_UI_EMFDiagnostic_marker",t)?"EMF Problem":mR("_UI_CircularContainment_diagnostic",t)?"An object may not circularly contain itself":mR(p7t,t)?"Wrong character.":mR(b7t,t)?"Invalid reference number.":mR(w7t,t)?"A character is required after \\.":mR(y7t,t)?"'?' is not expected.  '(?:' or '(?=' or '(?!' or '(?<' or '(?#' or '(?>'?":mR(m7t,t)?"'(?<' or '(?<!' is expected.":mR(v7t,t)?"A comment is not terminated.":mR(x7t,t)?"')' is expected.":mR(k7t,t)?"Unexpected end of the pattern in a modifier group.":mR(_7t,t)?"':' is expected.":mR(E7t,t)?"Unexpected end of the pattern in a conditional group.":mR(T7t,t)?"A back reference or an anchor or a lookahead or a look-behind is expected in a conditional pattern.":mR(C7t,t)?"There are more than three choices in a conditional group.":mR(S7t,t)?"A character in U+0040-U+005f must follow \\c.":mR(A7t,t)?"A '{' is required before a character category.":mR(M7t,t)?"A property name is not closed by '}'.":mR(I7t,t)?"Unexpected meta character.":mR(L7t,t)?"Unknown property.":mR(D7t,t)?"A POSIX character class must be closed by ':]'.":mR(O7t,t)?"Unexpected end of the pattern in a character class.":mR(N7t,t)?"Unknown name for a POSIX character class.":mR("parser.cc.4",t)?"'-' is invalid here.":mR(P7t,t)?"']' is expected.":mR(B7t,t)?"'[' is invalid in a character class.  Write '\\['.":mR(F7t,t)?"']' is invalid in a character class.  Write '\\]'.":mR(R7t,t)?"'-' is an invalid character range. Write '\\-'.":mR($7t,t)?"'[' is expected.":mR(j7t,t)?"')' or '-[' or '+[' or '&[' is expected.":mR(z7t,t)?"The range end code point is less than the start code point.":mR(q7t,t)?"Invalid Unicode hex notation.":mR(H7t,t)?"Overflow in a hex notation.":mR(Z7t,t)?"'\\x{' must be closed by '}'.":mR(U7t,t)?"Invalid Unicode code point.":mR(Y7t,t)?"An anchor must not be here.":mR(G7t,t)?"This expression is not supported in the current option setting.":mR(K7t,t)?"Invalid quantifier. A digit is expected.":mR(W7t,t)?"Invalid quantifier. Invalid quantity or a '}' is missing.":mR(X7t,t)?"Invalid quantifier. A digit or '}' is expected.":mR(V7t,t)?"Invalid quantifier. A min quantity must be <= a max quantity.":mR(Q7t,t)?"Invalid quantifier. 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Registry":mR("_UI_InvocationDelegateRegistry_extensionpoint",t)?"Operation Invocation Delegate Factory Registry":mR("_UI_EClassInterfaceNotAbstract_diagnostic",t)?"A class that is an interface must also be abstract":mR("_UI_EClassNoCircularSuperTypes_diagnostic",t)?"A class may not be a super type of itself":mR("_UI_EClassNotWellFormedMapEntryNoInstanceClassName_diagnostic",t)?"A class that inherits from a map entry class must have instance class name 'java.util.Map$Entry'":mR("_UI_EReferenceOppositeOfOppositeInconsistent_diagnostic",t)?"The opposite of the opposite may not be a reference different from this one":mR("_UI_EReferenceOppositeNotFeatureOfType_diagnostic",t)?"The opposite must be a feature of the reference's type":mR("_UI_EReferenceTransientOppositeNotTransient_diagnostic",t)?"The opposite of a transient reference must be transient if it is proxy resolving":mR("_UI_EReferenceOppositeBothContainment_diagnostic",t)?"The opposite of a containment reference must not be a containment reference":mR("_UI_EReferenceConsistentUnique_diagnostic",t)?"A containment or bidirectional reference must be unique if its upper bound is different from 1":mR("_UI_ETypedElementNoType_diagnostic",t)?"The typed element must have a type":mR("_UI_EAttributeNoDataType_diagnostic",t)?"The generic attribute type must not refer to a class":mR("_UI_EReferenceNoClass_diagnostic",t)?"The generic reference type must not refer to a data type":mR("_UI_EGenericTypeNoTypeParameterAndClassifier_diagnostic",t)?"A generic type can't refer to both a type parameter and a classifier":mR("_UI_EGenericTypeNoClass_diagnostic",t)?"A generic super type must refer to a class":mR("_UI_EGenericTypeNoTypeParameterOrClassifier_diagnostic",t)?"A generic type in this context must refer to a classifier or a type parameter":mR("_UI_EGenericTypeBoundsOnlyForTypeArgument_diagnostic",t)?"A generic type may have bounds only when used as a type 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Rw,h8((!e.d&&(e.d=new DO(WLe,e,1)),e.d),n),jIt(zz(Wet(XX(t.k),0),34),e,"key",Hte,!1,!1,!0,!1),cat(zz(Wet(XX(t.k),1),34),t.s,E6t,null,0,1,Hte,!1,!1,!0,!1,!0,!1),pW(t.o,fTe,"IProperty",!0),pW(t.s,Dte,"PropertyValue",!0),Nlt(t,x6t))}function 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processing",D1t="org.eclipse.elk.alg.layered.intermediate.compaction",O1t="org.eclipse.elk.alg.layered.intermediate.greedyswitch",N1t="org.eclipse.elk.alg.layered.p3order.counting",P1t={225:1},B1t="org.eclipse.elk.alg.layered.intermediate.loops",F1t="org.eclipse.elk.alg.layered.intermediate.loops.ordering",R1t="org.eclipse.elk.alg.layered.intermediate.loops.routing",$1t="org.eclipse.elk.alg.layered.intermediate.preserveorder",j1t="org.eclipse.elk.alg.layered.intermediate.wrapping",z1t="org.eclipse.elk.alg.layered.options",q1t="INTERACTIVE",H1t="DEPTH_FIRST",Z1t="EDGE_LENGTH",U1t="SELF_LOOPS",Y1t="firstTryWithInitialOrder",G1t="org.eclipse.elk.layered.directionCongruency",K1t="org.eclipse.elk.layered.feedbackEdges",W1t="org.eclipse.elk.layered.interactiveReferencePoint",X1t="org.eclipse.elk.layered.mergeEdges",V1t="org.eclipse.elk.layered.mergeHierarchyEdges",Q1t="org.eclipse.elk.layered.allowNonFlowPortsToSwitchSides",J1t="org.eclipse.elk.layered.portSortingStrategy",t0t="org.eclipse.elk.layered.thoroughness",e0t="org.eclipse.elk.layered.unnecessaryBendpoints",n0t="org.eclipse.elk.layered.generatePositionAndLayerIds",i0t="org.eclipse.elk.layered.cycleBreaking.strategy",r0t="org.eclipse.elk.layered.layering.strategy",a0t="org.eclipse.elk.layered.layering.layerConstraint",o0t="org.eclipse.elk.layered.layering.layerChoiceConstraint",s0t="org.eclipse.elk.layered.layering.layerId",c0t="org.eclipse.elk.layered.layering.minWidth.upperBoundOnWidth",u0t="org.eclipse.elk.layered.layering.minWidth.upperLayerEstimationScalingFactor",l0t="org.eclipse.elk.layered.layering.nodePromotion.strategy",h0t="org.eclipse.elk.layered.layering.nodePromotion.maxIterations",f0t="org.eclipse.elk.layered.layering.coffmanGraham.layerBound",d0t="org.eclipse.elk.layered.crossingMinimization.strategy",g0t="org.eclipse.elk.layered.crossingMinimization.forceNodeModelOrder",p0t="org.eclipse.elk.layered.crossingMinimization.hierarchicalSweepiness",b0t="org.eclipse.elk.layered.crossingMinimization.semiInteractive",w0t="org.eclipse.elk.layered.crossingMinimization.positionChoiceConstraint",y0t="org.eclipse.elk.layered.crossingMinimization.positionId",m0t="org.eclipse.elk.layered.crossingMinimization.greedySwitch.activationThreshold",v0t="org.eclipse.elk.layered.crossingMinimization.greedySwitch.type",x0t="org.eclipse.elk.layered.crossingMinimization.greedySwitchHierarchical.type",k0t="org.eclipse.elk.layered.nodePlacement.strategy",_0t="org.eclipse.elk.layered.nodePlacement.favorStraightEdges",E0t="org.eclipse.elk.layered.nodePlacement.bk.edgeStraightening",T0t="org.eclipse.elk.layered.nodePlacement.bk.fixedAlignment",C0t="org.eclipse.elk.layered.nodePlacement.linearSegments.deflectionDampening",S0t="org.eclipse.elk.layered.nodePlacement.networkSimplex.nodeFlexibility",A0t="org.eclipse.elk.layered.nodePlacement.networkSimplex.nodeFlexibility.default",M0t="org.eclipse.elk.layered.edgeRouting.selfLoopDistribution",I0t="org.eclipse.elk.layered.edgeRouting.selfLoopOrdering",L0t="org.eclipse.elk.layered.edgeRouting.splines.mode",D0t="org.eclipse.elk.layered.edgeRouting.splines.sloppy.layerSpacingFactor",O0t="org.eclipse.elk.layered.edgeRouting.polyline.slopedEdgeZoneWidth",N0t="org.eclipse.elk.layered.spacing.baseValue",P0t="org.eclipse.elk.layered.spacing.edgeNodeBetweenLayers",B0t="org.eclipse.elk.layered.spacing.edgeEdgeBetweenLayers",F0t="org.eclipse.elk.layered.spacing.nodeNodeBetweenLayers",R0t="org.eclipse.elk.layered.priority.direction",$0t="org.eclipse.elk.layered.priority.shortness",j0t="org.eclipse.elk.layered.priority.straightness",z0t="org.eclipse.elk.layered.compaction.connectedComponents",q0t="org.eclipse.elk.layered.compaction.postCompaction.strategy",H0t="org.eclipse.elk.layered.compaction.postCompaction.constraints",Z0t="org.eclipse.elk.layered.highDegreeNodes.treatment",U0t="org.eclipse.elk.layered.highDegreeNodes.threshold",Y0t="org.eclipse.elk.layered.highDegreeNodes.treeHeight",G0t="org.eclipse.elk.layered.wrapping.strategy",K0t="org.eclipse.elk.layered.wrapping.additionalEdgeSpacing",W0t="org.eclipse.elk.layered.wrapping.correctionFactor",X0t="org.eclipse.elk.layered.wrapping.cutting.strategy",V0t="org.eclipse.elk.layered.wrapping.cutting.cuts",Q0t="org.eclipse.elk.layered.wrapping.cutting.msd.freedom",J0t="org.eclipse.elk.layered.wrapping.validify.strategy",t2t="org.eclipse.elk.layered.wrapping.validify.forbiddenIndices",e2t="org.eclipse.elk.layered.wrapping.multiEdge.improveCuts",n2t="org.eclipse.elk.layered.wrapping.multiEdge.distancePenalty",i2t="org.eclipse.elk.layered.wrapping.multiEdge.improveWrappedEdges",r2t="org.eclipse.elk.layered.edgeLabels.sideSelection",a2t="org.eclipse.elk.layered.edgeLabels.centerLabelPlacementStrategy",o2t="org.eclipse.elk.layered.considerModelOrder.strategy",s2t="org.eclipse.elk.layered.considerModelOrder.noModelOrder",c2t="org.eclipse.elk.layered.considerModelOrder.components",u2t="org.eclipse.elk.layered.considerModelOrder.longEdgeStrategy",l2t="org.eclipse.elk.layered.considerModelOrder.crossingCounterNodeInfluence",h2t="org.eclipse.elk.layered.considerModelOrder.crossingCounterPortInfluence",f2t="layering",d2t="layering.minWidth",g2t="layering.nodePromotion",p2t="crossingMinimization",b2t="org.eclipse.elk.hierarchyHandling",w2t="crossingMinimization.greedySwitch",y2t="nodePlacement",m2t="nodePlacement.bk",v2t="edgeRouting",x2t="org.eclipse.elk.edgeRouting",k2t="spacing",_2t="priority",E2t="compaction",T2t="compaction.postCompaction",C2t="Specifies whether and how post-process compaction is applied.",S2t="highDegreeNodes",A2t="wrapping",M2t="wrapping.cutting",I2t="wrapping.validify",L2t="wrapping.multiEdge",D2t="edgeLabels",O2t="considerModelOrder",N2t="org.eclipse.elk.spacing.commentComment",P2t="org.eclipse.elk.spacing.commentNode",B2t="org.eclipse.elk.spacing.edgeEdge",F2t="org.eclipse.elk.spacing.edgeNode",R2t="org.eclipse.elk.spacing.labelLabel",$2t="org.eclipse.elk.spacing.labelPortHorizontal",j2t="org.eclipse.elk.spacing.labelPortVertical",z2t="org.eclipse.elk.spacing.labelNode",q2t="org.eclipse.elk.spacing.nodeSelfLoop",H2t="org.eclipse.elk.spacing.portPort",Z2t="org.eclipse.elk.spacing.individual",U2t="org.eclipse.elk.port.borderOffset",Y2t="org.eclipse.elk.noLayout",G2t="org.eclipse.elk.port.side",K2t="org.eclipse.elk.debugMode",W2t="org.eclipse.elk.alignment",X2t="org.eclipse.elk.insideSelfLoops.activate",V2t="org.eclipse.elk.insideSelfLoops.yo",Q2t="org.eclipse.elk.nodeSize.fixedGraphSize",J2t="org.eclipse.elk.direction",t3t="org.eclipse.elk.nodeLabels.padding",e3t="org.eclipse.elk.portLabels.nextToPortIfPossible",n3t="org.eclipse.elk.portLabels.treatAsGroup",i3t="org.eclipse.elk.portAlignment.default",r3t="org.eclipse.elk.portAlignment.north",a3t="org.eclipse.elk.portAlignment.south",o3t="org.eclipse.elk.portAlignment.west",s3t="org.eclipse.elk.portAlignment.east",c3t="org.eclipse.elk.contentAlignment",u3t="org.eclipse.elk.junctionPoints",l3t="org.eclipse.elk.edgeLabels.placement",h3t="org.eclipse.elk.port.index",f3t="org.eclipse.elk.commentBox",d3t="org.eclipse.elk.hypernode",g3t="org.eclipse.elk.port.anchor",p3t="org.eclipse.elk.partitioning.activate",b3t="org.eclipse.elk.partitioning.partition",w3t="org.eclipse.elk.position",y3t="org.eclipse.elk.margins",m3t="org.eclipse.elk.spacing.portsSurrounding",v3t="org.eclipse.elk.interactiveLayout",x3t="org.eclipse.elk.core.util",k3t={3:1,4:1,5:1,593:1},_3t="NETWORK_SIMPLEX",E3t={123:1,51:1},T3t="org.eclipse.elk.alg.layered.p1cycles",C3t="org.eclipse.elk.alg.layered.p2layers",S3t={402:1,225:1},A3t={832:1,3:1,4:1},M3t="org.eclipse.elk.alg.layered.p3order",I3t="org.eclipse.elk.alg.layered.p4nodes",L3t={3:1,4:1,5:1,840:1},D3t=1e-5,O3t="org.eclipse.elk.alg.layered.p4nodes.bk",N3t="org.eclipse.elk.alg.layered.p5edges",P3t="org.eclipse.elk.alg.layered.p5edges.orthogonal",B3t="org.eclipse.elk.alg.layered.p5edges.orthogonal.direction",F3t=1e-6,R3t="org.eclipse.elk.alg.layered.p5edges.splines",$3t=.09999999999999998,j3t=1e-8,z3t=4.71238898038469,q3t=3.141592653589793,H3t="org.eclipse.elk.alg.mrtree",Z3t="org.eclipse.elk.alg.mrtree.graph",U3t="org.eclipse.elk.alg.mrtree.intermediate",Y3t="Set neighbors in level",G3t="DESCENDANTS",K3t="org.eclipse.elk.mrtree.weighting",W3t="org.eclipse.elk.mrtree.searchOrder",X3t="org.eclipse.elk.alg.mrtree.options",V3t="org.eclipse.elk.mrtree",Q3t="org.eclipse.elk.tree",J3t="org.eclipse.elk.alg.radial",t4t=6.283185307179586,e4t=5e-324,n4t="org.eclipse.elk.alg.radial.intermediate",i4t="org.eclipse.elk.alg.radial.intermediate.compaction",r4t={3:1,4:1,5:1,106:1},a4t="org.eclipse.elk.alg.radial.intermediate.optimization",o4t="No implementation is available for the layout option ",s4t="org.eclipse.elk.alg.radial.options",c4t="org.eclipse.elk.radial.orderId",u4t="org.eclipse.elk.radial.radius",l4t="org.eclipse.elk.radial.compactor",h4t="org.eclipse.elk.radial.compactionStepSize",f4t="org.eclipse.elk.radial.sorter",d4t="org.eclipse.elk.radial.wedgeCriteria",g4t="org.eclipse.elk.radial.optimizationCriteria",p4t="org.eclipse.elk.radial",b4t="org.eclipse.elk.alg.radial.p1position.wedge",w4t="org.eclipse.elk.alg.radial.sorting",y4t=5.497787143782138,m4t=3.9269908169872414,v4t=2.356194490192345,x4t="org.eclipse.elk.alg.rectpacking",k4t="org.eclipse.elk.alg.rectpacking.firstiteration",_4t="org.eclipse.elk.alg.rectpacking.options",E4t="org.eclipse.elk.rectpacking.optimizationGoal",T4t="org.eclipse.elk.rectpacking.lastPlaceShift",C4t="org.eclipse.elk.rectpacking.currentPosition",S4t="org.eclipse.elk.rectpacking.desiredPosition",A4t="org.eclipse.elk.rectpacking.onlyFirstIteration",M4t="org.eclipse.elk.rectpacking.rowCompaction",I4t="org.eclipse.elk.rectpacking.expandToAspectRatio",L4t="org.eclipse.elk.rectpacking.targetWidth",D4t="org.eclipse.elk.expandNodes",O4t="org.eclipse.elk.rectpacking",N4t="org.eclipse.elk.alg.rectpacking.util",P4t="No implementation available for ",B4t="org.eclipse.elk.alg.spore",F4t="org.eclipse.elk.alg.spore.options",R4t="org.eclipse.elk.sporeCompaction",$4t="org.eclipse.elk.underlyingLayoutAlgorithm",j4t="org.eclipse.elk.processingOrder.treeConstruction",z4t="org.eclipse.elk.processingOrder.spanningTreeCostFunction",q4t="org.eclipse.elk.processingOrder.preferredRoot",H4t="org.eclipse.elk.processingOrder.rootSelection",Z4t="org.eclipse.elk.structure.structureExtractionStrategy",U4t="org.eclipse.elk.compaction.compactionStrategy",Y4t="org.eclipse.elk.compaction.orthogonal",G4t="org.eclipse.elk.overlapRemoval.maxIterations",K4t="org.eclipse.elk.overlapRemoval.runScanline",W4t="processingOrder",X4t="overlapRemoval",V4t="org.eclipse.elk.sporeOverlap",Q4t="org.eclipse.elk.alg.spore.p1structure",J4t="org.eclipse.elk.alg.spore.p2processingorder",t5t="org.eclipse.elk.alg.spore.p3execution",e5t="Invalid index: ",n5t="org.eclipse.elk.core.alg",i5t={331:1},r5t={288:1},a5t="Make sure its type is registered with the ",o5t=" utility class.",s5t="true",c5t="false",u5t="Couldn't clone property '",l5t=.05,h5t="org.eclipse.elk.core.options",f5t=1.2999999523162842,d5t="org.eclipse.elk.box",g5t="org.eclipse.elk.box.packingMode",p5t="org.eclipse.elk.algorithm",b5t="org.eclipse.elk.resolvedAlgorithm",w5t="org.eclipse.elk.bendPoints",y5t="org.eclipse.elk.labelManager",m5t="org.eclipse.elk.scaleFactor",v5t="org.eclipse.elk.animate",x5t="org.eclipse.elk.animTimeFactor",k5t="org.eclipse.elk.layoutAncestors",_5t="org.eclipse.elk.maxAnimTime",E5t="org.eclipse.elk.minAnimTime",T5t="org.eclipse.elk.progressBar",C5t="org.eclipse.elk.validateGraph",S5t="org.eclipse.elk.validateOptions",A5t="org.eclipse.elk.zoomToFit",M5t="org.eclipse.elk.font.name",I5t="org.eclipse.elk.font.size",L5t="org.eclipse.elk.edge.type",D5t="partitioning",O5t="nodeLabels",N5t="portAlignment",P5t="nodeSize",B5t="port",F5t="portLabels",R5t="insideSelfLoops",$5t="org.eclipse.elk.fixed",j5t="org.eclipse.elk.random",z5t="port must have a parent node to calculate the port side",q5t="The edge needs to have exactly one edge section. Found: ",H5t="org.eclipse.elk.core.util.adapters",Z5t="org.eclipse.emf.ecore",U5t="org.eclipse.elk.graph",Y5t="EMapPropertyHolder",G5t="ElkBendPoint",K5t="ElkGraphElement",W5t="ElkConnectableShape",X5t="ElkEdge",V5t="ElkEdgeSection",Q5t="EModelElement",J5t="ENamedElement",t6t="ElkLabel",e6t="ElkNode",n6t="ElkPort",i6t={92:1,90:1},r6t="org.eclipse.emf.common.notify.impl",a6t="The feature '",o6t="' is not a valid changeable feature",s6t="Expecting null",c6t="' is not a valid feature",u6t="The feature ID",l6t=" is not a valid feature ID",h6t=32768,f6t={105:1,92:1,90:1,56:1,49:1,97:1},d6t="org.eclipse.emf.ecore.impl",g6t="org.eclipse.elk.graph.impl",p6t="Recursive containment not allowed for ",b6t="The datatype '",w6t="' is not a valid classifier",y6t="The value '",m6t={190:1,3:1,4:1},v6t="The class '",x6t="http://www.eclipse.org/elk/ElkGraph",k6t=1024,_6t="property",E6t="value",T6t="source",C6t="properties",S6t="identifier",A6t="height",M6t="width",I6t="parent",L6t="text",D6t="children",O6t="hierarchical",N6t="sources",P6t="targets",B6t="sections",F6t="bendPoints",R6t="outgoingShape",$6t="incomingShape",j6t="outgoingSections",z6t="incomingSections",q6t="org.eclipse.emf.common.util",H6t="Severe implementation error in the Json to ElkGraph importer.",Z6t="id",U6t="org.eclipse.elk.graph.json",Y6t="Unhandled parameter types: ",G6t="startPoint",K6t="An edge must have at least one source and one target (edge id: '",W6t="').",X6t="Referenced edge section does not exist: ",V6t=" (edge id: '",Q6t="target",J6t="sourcePoint",t7t="targetPoint",e7t="group",n7t="name",i7t="connectableShape cannot be null",r7t="edge cannot be null",a7t="Passed edge is not 'simple'.",o7t="org.eclipse.elk.graph.util",s7t="The 'no duplicates' constraint is violated",c7t="targetIndex=",u7t=", size=",l7t="sourceIndex=",h7t={3:1,4:1,20:1,28:1,52:1,14:1,15:1,54:1,67:1,63:1,58:1},f7t={3:1,4:1,20:1,28:1,52:1,14:1,47:1,15:1,54:1,67:1,63:1,58:1,588:1},d7t="logging",g7t="measureExecutionTime",p7t="parser.parse.1",b7t="parser.parse.2",w7t="parser.next.1",y7t="parser.next.2",m7t="parser.next.3",v7t="parser.next.4",x7t="parser.factor.1",k7t="parser.factor.2",_7t="parser.factor.3",E7t="parser.factor.4",T7t="parser.factor.5",C7t="parser.factor.6",S7t="parser.atom.1",A7t="parser.atom.2",M7t="parser.atom.3",I7t="parser.atom.4",L7t="parser.atom.5",D7t="parser.cc.1",O7t="parser.cc.2",N7t="parser.cc.3",P7t="parser.cc.5",B7t="parser.cc.6",F7t="parser.cc.7",R7t="parser.cc.8",$7t="parser.ope.1",j7t="parser.ope.2",z7t="parser.ope.3",q7t="parser.descape.1",H7t="parser.descape.2",Z7t="parser.descape.3",U7t="parser.descape.4",Y7t="parser.descape.5",G7t="parser.process.1",K7t="parser.quantifier.1",W7t="parser.quantifier.2",X7t="parser.quantifier.3",V7t="parser.quantifier.4",Q7t="parser.quantifier.5",J7t="org.eclipse.emf.common.notify",t8t={415:1,672:1},e8t={3:1,4:1,20:1,28:1,52:1,14:1,15:1,67:1,58:1},n8t={366:1,143:1},i8t="index=",r8t={3:1,4:1,5:1,126:1},a8t={3:1,4:1,20:1,28:1,52:1,14:1,15:1,54:1,67:1,58:1},o8t={3:1,6:1,4:1,5:1,192:1},s8t={3:1,4:1,5:1,165:1,367:1},c8t=";/?:@&=+$,",u8t="invalid 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The differences to the non-hierarchical case (see 'greedySwitch.type') are: 1) greedy switch is inactive by default, 3) only the option value set on the node at which hierarchical layout starts is relevant, and 2) if it's activated by the user, it properly addresses hierarchy-crossing edges."),lde),bTe),Mhe),edt(lTe)))),o2(t,x0t,d0t,hde),o2(t,x0t,b2t,fde),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,k0t),y2t),"Node Placement Strategy"),"Strategy for node placement."),Oge),bTe),Lye),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,_0t),y2t),"Favor Straight Edges Over Balancing"),"Favor straight edges over a balanced node placement. The default behavior is determined automatically based on the used 'edgeRouting'. For an orthogonal style it is set to true, for all other styles to false."),gTe),kee),edt(lTe)))),o2(t,_0t,k0t,_ge),o2(t,_0t,k0t,Ege),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,E0t),m2t),"BK Edge Straightening"),"Specifies whether the Brandes Koepf node placer tries to increase the number of straight edges at the expense of diagram size. There is a subtle difference to the 'favorStraightEdges' option, which decides whether a balanced placement of the nodes is desired, or not. In bk terms this means combining the four alignments into a single balanced one, or not. This option on the other hand tries to straighten additional edges during the creation of each of the four alignments."),wge),bTe),Jle),edt(lTe)))),o2(t,E0t,k0t,yge),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,T0t),m2t),"BK Fixed Alignment"),"Tells the BK node placer to use a certain alignment (out of its four) instead of the one producing the smallest height, or the combination of all four."),vge),bTe),she),edt(lTe)))),o2(t,T0t,k0t,xge),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,C0t),"nodePlacement.linearSegments"),"Linear Segments Deflection Dampening"),"Dampens the movement of nodes to keep the diagram from getting too large."),.3),pTe),Aee),edt(lTe)))),o2(t,C0t,k0t,Cge),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,S0t),"nodePlacement.networkSimplex"),"Node Flexibility"),"Aims at shorter and straighter edges. Two configurations are possible: (a) allow ports to move freely on the side they are assigned to (the order is always defined beforehand), (b) additionally allow to enlarge a node wherever it helps. If this option is not configured for a node, the 'nodeFlexibility.default' value is used, which is specified for the node's parent."),bTe),xye),edt(uTe)))),o2(t,S0t,k0t,Lge),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,A0t),"nodePlacement.networkSimplex.nodeFlexibility"),"Node Flexibility Default"),"Default value of the 'nodeFlexibility' option for the children of a hierarchical node."),Mge),bTe),xye),edt(lTe)))),o2(t,A0t,k0t,Ige),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,M0t),v2t),"Self-Loop Distribution"),"Alter the distribution of the loops around the node. It only takes effect for PortConstraints.FREE."),Pde),bTe),tme),edt(uTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,I0t),v2t),"Self-Loop Ordering"),"Alter the ordering of the loops they can either be stacked or sequenced. It only takes effect for PortConstraints.FREE."),Fde),bTe),ame),edt(uTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,L0t),"edgeRouting.splines"),"Spline Routing Mode"),"Specifies the way control points are assembled for each individual edge. CONSERVATIVE ensures that edges are properly routed around the nodes but feels rather orthogonal at times. SLOPPY uses fewer control points to obtain curvier edge routes but may result in edges overlapping nodes."),$de),bTe),lme),edt(lTe)))),o2(t,L0t,x2t,jde),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,D0t),"edgeRouting.splines.sloppy"),"Sloppy Spline Layer Spacing Factor"),"Spacing factor for routing area between layers when using sloppy spline routing."),.2),pTe),Aee),edt(lTe)))),o2(t,D0t,x2t,qde),o2(t,D0t,L0t,Hde),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,O0t),"edgeRouting.polyline"),"Sloped Edge Zone Width"),"Width of the strip to the left and to the right of each layer where the polyline edge router is allowed to refrain from ensuring that edges are routed horizontally. This prevents awkward bend points for nodes that extent almost to the edge of their layer."),2),pTe),Aee),edt(lTe)))),o2(t,O0t,x2t,Ode),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,N0t),k2t),"Spacing Base Value"),"An optional base value for all other layout options of the 'spacing' group. It can be used to conveniently alter the overall 'spaciousness' of the drawing. Whenever an explicit value is set for the other layout options, this base value will have no effect. The base value is not inherited, i.e. it must be set for each hierarchical node."),pTe),Aee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,P0t),k2t),"Edge Node Between Layers Spacing"),"The spacing to be preserved between nodes and edges that are routed next to the node's layer. For the spacing between nodes and edges that cross the node's layer 'spacing.edgeNode' is used."),10),pTe),Aee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,B0t),k2t),"Edge Edge Between Layer Spacing"),"Spacing to be preserved between pairs of edges that are routed between the same pair of layers. Note that 'spacing.edgeEdge' is used for the spacing between pairs of edges crossing the same layer."),10),pTe),Aee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,F0t),k2t),"Node Node Between Layers Spacing"),"The spacing to be preserved between any pair of nodes of two adjacent layers. Note that 'spacing.nodeNode' is used for the spacing between nodes within the layer itself."),20),pTe),Aee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,R0t),_2t),"Direction Priority"),"Defines how important it is to have a certain edge point into the direction of the overall layout. This option is evaluated during the cycle breaking phase."),rft(0)),yTe),Dee),edt(sTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,$0t),_2t),"Shortness Priority"),"Defines how important it is to keep an edge as short as possible. This option is evaluated during the layering phase."),rft(0)),yTe),Dee),edt(sTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,j0t),_2t),"Straightness Priority"),"Defines how important it is to keep an edge straight, i.e. aligned with one of the two axes. This option is evaluated during node placement."),rft(0)),yTe),Dee),edt(sTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,z0t),E2t),FQt),"Tries to further compact components (disconnected sub-graphs)."),!1),gTe),kee),edt(lTe)))),o2(t,z0t,kJt,!0),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,q0t),T2t),"Post Compaction Strategy"),C2t),Vfe),bTe),mhe),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,H0t),T2t),"Post Compaction Constraint Calculation"),C2t),Wfe),bTe),fle),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,Z0t),S2t),"High Degree Node Treatment"),"Makes room around high degree nodes to place leafs and trees."),!1),gTe),kee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,U0t),S2t),"High Degree Node Threshold"),"Whether a node is considered to have a high degree."),rft(16)),yTe),Dee),edt(lTe)))),o2(t,U0t,Z0t,!0),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,Y0t),S2t),"High Degree Node Maximum Tree Height"),"Maximum height of a subtree connected to a high degree node to be moved to separate layers."),rft(5)),yTe),Dee),edt(lTe)))),o2(t,Y0t,Z0t,!0),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,G0t),A2t),"Graph Wrapping Strategy"),"For certain graphs and certain prescribed drawing areas it may be desirable to split the laid out graph into chunks that are placed side by side. The edges that connect different chunks are 'wrapped' around from the end of one chunk to the start of the other chunk. The points between the chunks are referred to as 'cuts'."),dpe),bTe),Cme),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,K0t),A2t),"Additional Wrapped Edges Spacing"),"To visually separate edges that are wrapped from regularly routed edges an additional spacing value can be specified in form of this layout option. The spacing is added to the regular edgeNode spacing."),10),pTe),Aee),edt(lTe)))),o2(t,K0t,G0t,Yge),o2(t,K0t,G0t,Gge),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,W0t),A2t),"Correction Factor for Wrapping"),"At times and for certain types of graphs the executed wrapping may produce results that are consistently biased in the same fashion: either wrapping to often or to rarely. This factor can be used to correct the bias. Internally, it is simply multiplied with the 'aspect ratio' layout option."),1),pTe),Aee),edt(lTe)))),o2(t,W0t,G0t,Wge),o2(t,W0t,G0t,Xge),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,X0t),M2t),"Cutting Strategy"),"The strategy by which the layer indexes are determined at which the layering crumbles into chunks."),ipe),bTe),Ele),edt(lTe)))),o2(t,X0t,G0t,rpe),o2(t,X0t,G0t,ape),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,V0t),M2t),"Manually Specified Cuts"),"Allows the user to specify her own cuts for a certain graph."),mTe),Rte),edt(lTe)))),o2(t,V0t,X0t,Qge),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,Q0t),"wrapping.cutting.msd"),"MSD Freedom"),"The MSD cutting strategy starts with an initial guess on the number of chunks the graph should be split into. The freedom specifies how much the strategy may deviate from this guess. E.g. if an initial number of 3 is computed, a freedom of 1 allows 2, 3, and 4 cuts."),tpe),yTe),Dee),edt(lTe)))),o2(t,Q0t,X0t,epe),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,J0t),I2t),"Validification Strategy"),"When wrapping graphs, one can specify indices that are not allowed as split points. The validification strategy makes sure every computed split point is allowed."),ype),bTe),pme),edt(lTe)))),o2(t,J0t,G0t,mpe),o2(t,J0t,G0t,vpe),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,t2t),I2t),"Valid Indices for Wrapping"),null),mTe),Rte),edt(lTe)))),o2(t,t2t,G0t,ppe),o2(t,t2t,G0t,bpe),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,e2t),L2t),"Improve Cuts"),"For general graphs it is important that not too many edges wrap backwards. Thus a compromise between evenly-distributed cuts and the total number of cut edges is sought."),!0),gTe),kee),edt(lTe)))),o2(t,e2t,G0t,upe),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,n2t),L2t),"Distance Penalty When Improving Cuts"),null),2),pTe),Aee),edt(lTe)))),o2(t,n2t,G0t,spe),o2(t,n2t,e2t,!0),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,i2t),L2t),"Improve Wrapped Edges"),"The initial wrapping is performed in a very simple way. As a consequence, edges that wrap from one chunk to another may be unnecessarily long. Activating this option tries to shorten such edges."),!0),gTe),kee),edt(lTe)))),o2(t,i2t,G0t,hpe),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,r2t),D2t),"Edge Label Side Selection"),"Method to decide on edge label sides."),Lde),bTe),Ule),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,a2t),D2t),"Edge Center Label Placement Strategy"),"Determines in which layer center labels of long edges should be placed."),Mde),bTe),sle),_Z(lTe,Ast(Zx(kTe,1),OWt,175,0,[cTe]))))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,o2t),O2t),"Consider Model Order"),"Preserves the order of nodes and edges in the model file if this does not lead to additional edge crossings. Depending on the strategy this is not always possible since the node and edge order might be conflicting."),ode),bTe),jye),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,s2t),O2t),"No Model Order"),"Set on a node to not set a model order for this node even though it is a real node."),!1),gTe),kee),edt(uTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,c2t),O2t),"Consider Model Order for Components"),"If set to NONE the usual ordering strategy (by cumulative node priority and size of nodes) is used. INSIDE_PORT_SIDES orders the components with external ports only inside the groups with the same port side. FORCE_MODEL_ORDER enforces the mode order on components. This option might produce bad alignments and sub optimal drawings in terms of used area since the ordering should be respected."),Jfe),bTe),mse),edt(lTe)))),o2(t,c2t,kJt,null),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,u2t),O2t),"Long Edge Ordering Strategy"),"Indicates whether long edges are sorted under, over, or equal to nodes that have no connection to a previous layer in a left-to-right or right-to-left layout. Under and over changes to right and left in a vertical layout."),ide),bTe),gye),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,l2t),O2t),"Crossing Counter Node Order Influence"),"Indicates with what percentage (1 for 100%) violations of the node model order are weighted against the crossings e.g. a value of 0.5 means two model order violations are as important as on edge crossing. This allows some edge crossings in favor of preserving the model order. It is advised to set this value to a very small positive value (e.g. 0.001) to have minimal crossing and a optimal node order. Defaults to no influence (0)."),0),pTe),Aee),edt(lTe)))),o2(t,l2t,o2t,null),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,h2t),O2t),"Crossing Counter Port Order Influence"),"Indicates with what percentage (1 for 100%) violations of the port model order are weighted against the crossings e.g. a value of 0.5 means two model order violations are as important as on edge crossing. This allows some edge crossings in favor of preserving the model order. It is advised to set this value to a very small positive value (e.g. 0.001) to have minimal crossing and a optimal port order. Defaults to no influence (0)."),0),pTe),Aee),edt(lTe)))),o2(t,h2t,o2t,null),mKt((new fh,t))},yG(z1t,"LayeredMetaDataProvider",848),pLt(986,1,VVt,fh),CKt.Qe=function(t){mKt(t)},yG(z1t,"LayeredOptions",986),pLt(987,1,{},Aa),CKt.$e=function(){return new Yy},CKt._e=function(t){},yG(z1t,"LayeredOptions/LayeredFactory",987),pLt(1372,1,{}),CKt.a=0,yG(x3t,"ElkSpacings/AbstractSpacingsBuilder",1372),pLt(779,1372,{},cgt),yG(z1t,"LayeredSpacings/LayeredSpacingsBuilder",779),pLt(313,22,{3:1,35:1,22:1,313:1,246:1,234:1},FS),CKt.Kf=function(){return aOt(this)},CKt.Xf=function(){return aOt(this)};var rye,aye,oye,sye,cye=qnt(z1t,"LayeringStrategy",313,Gte,n8,fj);pLt(378,22,{3:1,35:1,22:1,378:1},RS);var uye,lye,hye,fye,dye,gye=qnt(z1t,"LongEdgeOrderingStrategy",378,Gte,_1,dj);pLt(197,22,{3:1,35:1,22:1,197:1},$S);var pye,bye,wye,yye,mye,vye,xye=qnt(z1t,"NodeFlexibility",197,Gte,x3,gj);pLt(315,22,{3:1,35:1,22:1,315:1,246:1,234:1},jS),CKt.Kf=function(){return FLt(this)},CKt.Xf=function(){return 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If the root node is set to `INHERIT` (or not set at all), the default behavior is `SEPARATE_CHILDREN`."),ECe),bTe),CAe),_Z(lTe,Ast(Zx(kTe,1),OWt,175,0,[uTe]))))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,VQt),""),"Padding"),"The padding to be left to a parent element's border when placing child elements. This can also serve as an output option of a layout algorithm if node size calculation is setup appropriately."),KCe),mTe),$se),_Z(lTe,Ast(Zx(kTe,1),OWt,175,0,[uTe]))))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,_Jt),""),"Interactive"),"Whether the algorithm should be run in interactive mode for the content of a parent node. What this means exactly depends on how the specific algorithm interprets this option. 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Yet, if any unforeseen behavior occurs, this option allows to deactivate the micro layout."),!1),gTe),kee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,EJt),""),"Port Constraints"),"Defines constraints of the position of the ports of a node."),cSe),bTe),oMe),edt(uTe)))),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,w3t),""),"Position"),"The position of a node, port, or label. This is used by the 'Fixed Layout' algorithm to specify a pre-defined position."),mTe),STe),_Z(uTe,Ast(Zx(kTe,1),OWt,175,0,[hTe,cTe]))))),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,yJt),""),"Priority"),"Defines the priority of an object; its meaning depends on the specific layout algorithm and the context where it is used."),yTe),Dee),_Z(uTe,Ast(Zx(kTe,1),OWt,175,0,[sTe]))))),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,xJt),""),"Randomization Seed"),"Seed used for pseudo-random number generators to control the layout algorithm. If the value is 0, the seed shall be determined pseudo-randomly (e.g. from the system time)."),yTe),Dee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,kJt),""),"Separate Connected Components"),"Whether each connected component should be processed separately."),gTe),kee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,u3t),""),"Junction Points"),"This option is not used as option, but as output of the layout algorithms. It is attached to edges and determines the points where junction symbols should be drawn in order to represent hyperedges with orthogonal routing. Whether such points are computed depends on the chosen layout algorithm and edge routing style. The points are put into the vector chain with no specific order."),LCe),mTe),NTe),edt(sTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,f3t),""),"Comment Box"),"Whether the node should be regarded as a comment box instead of a regular node. In that case its placement should be similar to how labels are handled. Any edges incident to a comment box specify to which graph elements the comment is related."),!1),gTe),kee),edt(uTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,d3t),""),"Hypernode"),"Whether the node should be handled as a hypernode."),!1),gTe),kee),edt(uTe)))),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,y5t),""),"Label Manager"),"Label managers can shorten labels upon a layout algorithm's request."),mTe),RNe),_Z(lTe,Ast(Zx(kTe,1),OWt,175,0,[cTe]))))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,y3t),""),"Margins"),"Margins define additional space around the actual bounds of a graph element. For instance, ports or labels being placed on the outside of a node's border might introduce such a margin. The margin is used to guarantee non-overlap of other graph elements with those ports or labels."),OCe),mTe),_se),edt(uTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,Y2t),""),"No Layout"),"No layout is done for the associated element. This is used to mark parts of a diagram to avoid their inclusion in the layout graph, or to mark parts of the layout graph to prevent layout engines from processing them. If you wish to exclude the contents of a compound node from automatic layout, while the node itself is still considered on its own layer, use the 'Fixed Layout' algorithm for that node."),!1),gTe),kee),_Z(uTe,Ast(Zx(kTe,1),OWt,175,0,[sTe,hTe,cTe]))))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,m5t),""),"Scale Factor"),"The scaling factor to be applied to the corresponding node in recursive layout. It causes the corresponding node's size to be adjusted, and its ports and labels to be sized and placed accordingly after the layout of that node has been determined (and before the node itself and its siblings are arranged). The scaling is not reverted afterwards, so the resulting layout graph contains the adjusted size and position data. This option is currently not supported if 'Layout Hierarchy' is set."),1),pTe),Aee),edt(uTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,v5t),""),"Animate"),"Whether the shift from the old layout to the new computed layout shall be animated."),!0),gTe),kee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,x5t),""),"Animation Time Factor"),"Factor for computation of animation time. The higher the value, the longer the animation time. If the value is 0, the resulting time is always equal to the minimum defined by 'Minimal Animation Time'."),rft(100)),yTe),Dee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,k5t),""),"Layout Ancestors"),"Whether the hierarchy levels on the path from the selected element to the root of the diagram shall be included in the layout process."),!1),gTe),kee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,_5t),""),"Maximal Animation Time"),"The maximal time for animations, in milliseconds."),rft(4e3)),yTe),Dee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,E5t),""),"Minimal Animation Time"),"The minimal time for animations, in milliseconds."),rft(400)),yTe),Dee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,T5t),""),"Progress Bar"),"Whether a progress bar shall be displayed during layout computations."),!1),gTe),kee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,C5t),""),"Validate Graph"),"Whether the graph shall be validated before any layout algorithm is applied. If this option is enabled and at least one error is found, the layout process is aborted and a message is shown to the user."),!1),gTe),kee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,S5t),""),"Validate Options"),"Whether layout options shall be validated before any layout algorithm is applied. If this option is enabled and at least one error is found, the layout process is aborted and a message is shown to the user."),!0),gTe),kee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,A5t),""),"Zoom to Fit"),"Whether the zoom level shall be set to view the whole diagram after layout."),!1),gTe),kee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,g5t),"box"),"Box Layout Mode"),"Configures the packing mode used by the {@link BoxLayoutProvider}. If SIMPLE is not required (neither priorities are used nor the interactive mode), GROUP_DEC can improve the packing and decrease the area. GROUP_MIXED and GROUP_INC may, in very specific scenarios, work better."),cCe),bTe),aIe),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,N2t),k2t),"Comment Comment Spacing"),"Spacing to be preserved between a comment box and other comment boxes connected to the same node. The space left between comment boxes of different nodes is controlled by the node-node spacing."),10),pTe),Aee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,P2t),k2t),"Comment Node Spacing"),"Spacing to be preserved between a node and its connected comment boxes. The space left between a node and the comments of another node is controlled by the node-node spacing."),10),pTe),Aee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,KQt),k2t),"Components Spacing"),"Spacing to be preserved between pairs of connected components. This option is only relevant if 'separateConnectedComponents' is activated."),20),pTe),Aee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,B2t),k2t),"Edge Spacing"),"Spacing to be preserved between any two edges. Note that while this can somewhat easily be satisfied for the segments of orthogonally drawn edges, it is harder for general polylines or splines."),10),pTe),Aee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,vJt),k2t),"Edge Label Spacing"),"The minimal distance to be preserved between a label and the edge it is associated with. Note that the placement of a label is influenced by the 'edgelabels.placement' option."),2),pTe),Aee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,F2t),k2t),"Edge Node Spacing"),"Spacing to be preserved between nodes and edges."),10),pTe),Aee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,R2t),k2t),"Label Spacing"),"Determines the amount of space to be left between two labels of the same graph element."),0),pTe),Aee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,z2t),k2t),"Label Node Spacing"),"Spacing to be preserved between labels and the border of node they are associated with. Note that the placement of a label is influenced by the 'nodelabels.placement' option."),5),pTe),Aee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,$2t),k2t),"Horizontal spacing between Label and Port"),"Horizontal spacing to be preserved between labels and the ports they are associated with. Note that the placement of a label is influenced by the 'portlabels.placement' option."),1),pTe),Aee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,j2t),k2t),"Vertical spacing between Label and Port"),"Vertical spacing to be preserved between labels and the ports they are associated with. Note that the placement of a label is influenced by the 'portlabels.placement' option."),1),pTe),Aee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,mJt),k2t),"Node Spacing"),"The minimal distance to be preserved between each two nodes."),20),pTe),Aee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,q2t),k2t),"Node Self Loop Spacing"),"Spacing to be preserved between a node and its self loops."),10),pTe),Aee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,H2t),k2t),"Port Spacing"),"Spacing between pairs of ports of the same node."),10),pTe),Aee),_Z(lTe,Ast(Zx(kTe,1),OWt,175,0,[uTe]))))),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,Z2t),k2t),"Individual Spacing"),"Allows to specify individual spacing values for graph elements that shall be different from the value specified for the element's parent."),mTe),lIe),_Z(uTe,Ast(Zx(kTe,1),OWt,175,0,[sTe,hTe,cTe]))))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,m3t),k2t),"Additional Port Space"),"Additional space around the sets of ports on each node side. For each side of a node, this option can reserve additional space before and after the ports on each side. For example, a top spacing of 20 makes sure that the first port on the western and eastern side is 20 units away from the northern border."),BSe),mTe),_se),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,b3t),D5t),"Layout Partition"),"Partition to which the node belongs. This requires Layout Partitioning to be active. Nodes with lower partition IDs will appear to the left of nodes with higher partition IDs (assuming a left-to-right layout direction)."),yTe),Dee),_Z(lTe,Ast(Zx(kTe,1),OWt,175,0,[uTe]))))),o2(t,b3t,p3t,QCe),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,p3t),D5t),"Layout Partitioning"),"Whether to activate partitioned layout. This will allow to group nodes through the Layout Partition option. a pair of nodes with different partition indices is then placed such that the node with lower index is placed to the left of the other node (with left-to-right layout direction). Depending on the layout algorithm, this may only be guaranteed to work if all nodes have a layout partition configured, or at least if edges that cross partitions are not part of a partition-crossing cycle."),XCe),gTe),kee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,t3t),O5t),"Node Label Padding"),"Define padding for node labels that are placed inside of a node."),PCe),mTe),$se),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,MJt),O5t),"Node Label Placement"),"Hints for where node labels are to be placed; if empty, the node label's position is not modified."),FCe),wTe),ZAe),_Z(uTe,Ast(Zx(kTe,1),OWt,175,0,[cTe]))))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,i3t),N5t),"Port Alignment"),"Defines the default port distribution for a node. May be overridden for each side individually."),tSe),bTe),QAe),edt(uTe)))),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,r3t),N5t),"Port Alignment (North)"),"Defines how ports on the northern side are placed, overriding the node's general port alignment."),bTe),QAe),edt(uTe)))),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,a3t),N5t),"Port Alignment (South)"),"Defines how ports on the southern side are placed, overriding the node's general port alignment."),bTe),QAe),edt(uTe)))),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,o3t),N5t),"Port Alignment (West)"),"Defines how ports on the western side are placed, overriding the node's general port alignment."),bTe),QAe),edt(uTe)))),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,s3t),N5t),"Port Alignment (East)"),"Defines how ports on the eastern side are placed, overriding the node's general port alignment."),bTe),QAe),edt(uTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,AJt),P5t),"Node Size Constraints"),"What should be taken into account when calculating a node's size. Empty size constraints specify that a node's size is already fixed and should not be changed."),$Ce),wTe),VMe),edt(uTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,SJt),P5t),"Node Size Options"),"Options modifying the behavior of the size constraints set on a node. Each member of the set specifies something that should be taken into account when calculating node sizes. The empty set corresponds to no further modifications."),ZCe),wTe),iIe),edt(uTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,qJt),P5t),"Node Size Minimum"),"The minimal size to which a node can be reduced."),qCe),mTe),STe),edt(uTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,Q2t),P5t),"Fixed Graph Size"),"By default, the fixed layout provider will enlarge a graph until it is large enough to contain its children. If this option is set, it won't do so."),!1),gTe),kee),edt(lTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,l3t),D2t),"Edge Label Placement"),"Gives a hint on where to put edge labels."),wCe),bTe),tAe),edt(cTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,TJt),D2t),"Inline Edge Labels"),"If true, an edge label is placed directly on its edge. May only apply to center edge labels. This kind of label placement is only advisable if the label's rendering is such that it is not crossed by its edge and thus stays legible."),!1),gTe),kee),edt(cTe)))),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,M5t),"font"),"Font Name"),"Font name used for a label."),vTe),Vee),edt(cTe)))),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,I5t),"font"),"Font Size"),"Font size used for a label."),yTe),Dee),edt(cTe)))),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,g3t),B5t),"Port Anchor Offset"),"The offset to the port position where connections shall be attached."),mTe),STe),edt(hTe)))),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,h3t),B5t),"Port Index"),"The index of a port in the fixed order around a node. The order is assumed as clockwise, starting with the leftmost port on the top side. This option must be set if 'Port Constraints' is set to FIXED_ORDER and no specific positions are given for the ports. Additionally, the option 'Port Side' must be defined in this case."),yTe),Dee),edt(hTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,G2t),B5t),"Port Side"),"The side of a node on which a port is situated. This option must be set if 'Port Constraints' is set to FIXED_SIDE or FIXED_ORDER and no specific positions are given for the ports."),pSe),bTe),jMe),edt(hTe)))),Ddt(t,new gSt(Ik(Mk(Lk(_k(Ak(Tk(Ck(new zs,U2t),B5t),"Port Border Offset"),"The offset of ports on the node border. With a positive offset the port is moved outside of the node, while with a negative offset the port is moved towards the inside. An offset of 0 means that the port is placed directly on the node border, i.e. if the port side is north, the port's south border touches the nodes's north border; if the port side is east, the port's west border touches the nodes's east border; if the port side is south, the port's north border touches the node's south border; if the port side is west, the port's east border touches the node's west border."),pTe),Aee),edt(hTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,IJt),F5t),"Port Label Placement"),"Decides on a placement method for port labels; if empty, the node label's position is not modified."),fSe),wTe),MMe),edt(uTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,e3t),F5t),"Port Labels Next to Port"),"Use 'portLabels.placement': NEXT_TO_PORT_OF_POSSIBLE."),!1),gTe),kee),edt(uTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,n3t),F5t),"Treat Port Labels as Group"),"If this option is true (default), the labels of a port will be treated as a group when it comes to centering them next to their port. If this option is false, only the first label will be centered next to the port, with the others being placed below. This only applies to labels of eastern and western ports and will have no effect if labels are not placed next to their port."),!0),gTe),kee),edt(uTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,X2t),R5t),"Activate Inside Self Loops"),"Whether this node allows to route self loops inside of it instead of around it. If set to true, this will make the node a compound node if it isn't already, and will require the layout algorithm to support compound nodes with hierarchical ports."),!1),gTe),kee),edt(uTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,V2t),R5t),"Inside Self Loop"),"Whether a self loop should be routed inside a node instead of around that node."),!1),gTe),kee),edt(sTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,WQt),"edge"),"Edge Thickness"),"The thickness of an edge. This is a hint on the line width used to draw an edge, possibly requiring more space to be reserved for it."),1),pTe),Aee),edt(sTe)))),Ddt(t,new gSt(Ik(Mk(Lk(Ek(_k(Ak(Tk(Ck(new zs,L5t),"edge"),"Edge Type"),"The type of an edge. This is usually used for UML class diagrams, where associations must be handled differently from generalizations."),xCe),bTe),vAe),edt(sTe)))),PT(t,new YJ(vk(kk(xk(new ys,p1t),"Layered"),'The layer-based method was introduced by Sugiyama, Tagawa and Toda in 1981. It emphasizes the direction of edges by pointing as many edges as possible into the same direction. The nodes are arranged in layers, which are sometimes called "hierarchies", and then reordered such that the number of edge crossings is minimized. Afterwards, concrete coordinates are computed for the nodes and edge bend points.'))),PT(t,new YJ(vk(kk(xk(new ys,"org.eclipse.elk.orthogonal"),"Orthogonal"),'Orthogonal methods that follow the "topology-shape-metrics" approach by Batini, Nardelli and Tamassia \'86. The first phase determines the topology of the drawing by applying a planarization technique, which results in a planar representation of the graph. The orthogonal shape is computed in the second phase, which aims at minimizing the number of edge bends, and is called orthogonalization. The third phase leads to concrete coordinates for nodes and edge bend points by applying a compaction method, thus defining the metrics.'))),PT(t,new YJ(vk(kk(xk(new ys,wJt),"Force"),"Layout algorithms that follow physical analogies by simulating a system of attractive and repulsive forces. 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Ilt(this,null);case 9:return void((e=HEt(this,null,null))&&e.Fi());case 10:return void Dft(this,!0);case 11:return void Pft(this,!1);case 12:return void Oft(this,!1);case 13:return this.i=null,void srt(this,null);case 15:return void Nft(this,!1);case 16:return void Zft(this,!1)}Zht(this,t-dG(this.zh()),iet(zz(xot(this,16),26)||this.zh(),t))},CKt.Gh=function(){xW(z9((ISt(),JDe),this)),Ixt(this),this.Bb|=1},CKt.Gj=function(){return this.f},CKt.zj=function(){return ZOt(this)},CKt.Hj=function(){return pJ(this)},CKt.Lj=function(){return null},CKt.pk=function(){return this.k},CKt.aj=function(){return this.n},CKt.Mj=function(){return u_t(this)},CKt.Nj=function(){var t,e,n,i,r,a,o,s,c;return this.p||((null==(n=pJ(this)).i&&Zjt(n),n.i).length,(i=this.Lj())&&dG(pJ(i)),t=(o=(r=Ixt(this)).Bj())?0!=(1&o.i)?o==DNe?kee:o==LNe?Dee:o==BNe?Mee:o==PNe?Aee:o==ONe?Ree:o==FNe?jee:o==NNe?Tee:See:o:null,e=ZOt(this),s=r.zj(),gdt(this),0!=(this.Bb&hWt)&&((a=vkt((ISt(),JDe),n))&&a!=this||(a=J1(z9(JDe,this))))?this.p=new LM(this,a):this.$j()?this.rk()?i?0!=(this.Bb&T8t)?t?this.sk()?this.p=new fX(47,t,this,i):this.p=new fX(5,t,this,i):this.sk()?this.p=new g4(46,this,i):this.p=new g4(4,this,i):t?this.sk()?this.p=new fX(49,t,this,i):this.p=new fX(7,t,this,i):this.sk()?this.p=new g4(48,this,i):this.p=new g4(6,this,i):0!=(this.Bb&T8t)?t?t==Hte?this.p=new Sz(50,WIe,this):this.sk()?this.p=new Sz(43,t,this):this.p=new Sz(1,t,this):this.sk()?this.p=new FV(42,this):this.p=new FV(0,this):t?t==Hte?this.p=new Sz(41,WIe,this):this.sk()?this.p=new Sz(45,t,this):this.p=new Sz(3,t,this):this.sk()?this.p=new FV(44,this):this.p=new FV(2,this):aO(r,148)?t==DDe?this.p=new FV(40,this):0!=(512&this.Bb)?0!=(this.Bb&T8t)?this.p=t?new Sz(9,t,this):new FV(8,this):this.p=t?new Sz(11,t,this):new FV(10,this):0!=(this.Bb&T8t)?this.p=t?new Sz(13,t,this):new FV(12,this):this.p=t?new Sz(15,t,this):new FV(14,this):i?(c=i.t)>1||-1==c?this.sk()?0!=(this.Bb&T8t)?this.p=t?new fX(25,t,this,i):new g4(24,this,i):this.p=t?new fX(27,t,this,i):new g4(26,this,i):0!=(this.Bb&T8t)?this.p=t?new fX(29,t,this,i):new g4(28,this,i):this.p=t?new fX(31,t,this,i):new g4(30,this,i):this.sk()?0!=(this.Bb&T8t)?this.p=t?new fX(33,t,this,i):new g4(32,this,i):this.p=t?new fX(35,t,this,i):new g4(34,this,i):0!=(this.Bb&T8t)?this.p=t?new fX(37,t,this,i):new g4(36,this,i):this.p=t?new fX(39,t,this,i):new g4(38,this,i):this.sk()?0!=(this.Bb&T8t)?this.p=t?new Sz(17,t,this):new FV(16,this):this.p=t?new Sz(19,t,this):new FV(18,this):0!=(this.Bb&T8t)?this.p=t?new Sz(21,t,this):new FV(20,this):this.p=t?new Sz(23,t,this):new FV(22,this):this.qk()?this.sk()?this.p=new Az(zz(r,26),this,i):this.p=new mQ(zz(r,26),this,i):aO(r,148)?t==DDe?this.p=new FV(40,this):0!=(this.Bb&T8t)?this.p=t?new tU(e,s,this,(qgt(),o==LNe?HDe:o==DNe?RDe:o==ONe?ZDe:o==BNe?qDe:o==PNe?zDe:o==FNe?YDe:o==NNe?$De:o==INe?jDe:UDe)):new pX(zz(r,148),e,s,this):this.p=t?new JZ(e,s,this,(qgt(),o==LNe?HDe:o==DNe?RDe:o==ONe?ZDe:o==BNe?qDe:o==PNe?zDe:o==FNe?YDe:o==NNe?$De:o==INe?jDe:UDe)):new gX(zz(r,148),e,s,this):this.rk()?i?0!=(this.Bb&T8t)?this.sk()?this.p=new Nz(zz(r,26),this,i):this.p=new Oz(zz(r,26),this,i):this.sk()?this.p=new Dz(zz(r,26),this,i):this.p=new Mz(zz(r,26),this,i):0!=(this.Bb&T8t)?this.sk()?this.p=new nB(zz(r,26),this):this.p=new eB(zz(r,26),this):this.sk()?this.p=new tB(zz(r,26),this):this.p=new JP(zz(r,26),this):this.sk()?i?0!=(this.Bb&T8t)?this.p=new Pz(zz(r,26),this,i):this.p=new Iz(zz(r,26),this,i):0!=(this.Bb&T8t)?this.p=new rB(zz(r,26),this):this.p=new iB(zz(r,26),this):i?0!=(this.Bb&T8t)?this.p=new Bz(zz(r,26),this,i):this.p=new Lz(zz(r,26),this,i):0!=(this.Bb&T8t)?this.p=new aB(zz(r,26),this):this.p=new aZ(zz(r,26),this)),this.p},CKt.Ij=function(){return 0!=(this.Bb&k6t)},CKt.qk=function(){return!1},CKt.rk=function(){return!1},CKt.Jj=function(){return 0!=(this.Bb&hWt)},CKt.Oj=function(){return ltt(this)},CKt.sk=function(){return!1},CKt.Kj=function(){return 0!=(this.Bb&T8t)},CKt.tk=function(t){this.k=t},CKt.Lh=function(t){QJ(this,t)},CKt.Ib=function(){return EFt(this)},CKt.e=!1,CKt.n=0,yG(d6t,"EStructuralFeatureImpl",449),pLt(322,449,{105:1,92:1,90:1,34:1,147:1,191:1,56:1,170:1,66:1,108:1,472:1,49:1,97:1,322:1,150:1,449:1,284:1,114:1,115:1,677:1},Im),CKt._g=function(t,e,n){switch(t){case 0:return!this.Ab&&(this.Ab=new nY(RLe,this,0,3)),this.Ab;case 1:return this.zb;case 2:return lN(),0!=(256&this.Bb);case 3:return lN(),0!=(512&this.Bb);case 4:return rft(this.s);case 5:return rft(this.t);case 6:return lN(),!!PMt(this);case 7:return lN(),this.s>=1;case 8:return e?Ixt(this):this.r;case 9:return this.q;case 10:return lN(),0!=(this.Bb&k6t);case 11:return lN(),0!=(this.Bb&C8t);case 12:return lN(),0!=(this.Bb&jXt);case 13:return this.j;case 14:return ZOt(this);case 15:return lN(),0!=(this.Bb&T8t);case 16:return lN(),0!=(this.Bb&hWt);case 17:return pJ(this);case 18:return lN(),0!=(this.Bb&h6t);case 19:return e?cst(this):P6(this)}return Y8(this,t-dG((wKt(),iDe)),iet(zz(xot(this,16),26)||iDe,t),e,n)},CKt.lh=function(t){switch(t){case 0:return!!this.Ab&&0!=this.Ab.i;case 1:return null!=this.zb;case 2:return 0==(256&this.Bb);case 3:return 0==(512&this.Bb);case 4:return 0!=this.s;case 5:return 1!=this.t;case 6:return PMt(this);case 7:return this.s>=1;case 8:return!!this.r&&!this.q.e&&0==vK(this.q).i;case 9:return!(!this.q||this.r&&!this.q.e&&0==vK(this.q).i);case 10:return 0==(this.Bb&k6t);case 11:return 0!=(this.Bb&C8t);case 12:return 0!=(this.Bb&jXt);case 13:return null!=this.j;case 14:return null!=ZOt(this);case 15:return 0!=(this.Bb&T8t);case 16:return 0!=(this.Bb&hWt);case 17:return!!pJ(this);case 18:return 0!=(this.Bb&h6t);case 19:return!!P6(this)}return I3(this,t-dG((wKt(),iDe)),iet(zz(xot(this,16),26)||iDe,t))},CKt.sh=function(t,e){var n;switch(t){case 0:return!this.Ab&&(this.Ab=new nY(RLe,this,0,3)),lHt(this.Ab),!this.Ab&&(this.Ab=new nY(RLe,this,0,3)),void wG(this.Ab,zz(e,14));case 1:return void QJ(this,CB(e));case 2:return void Qht(this,Hv(EB(e)));case 3:return void eft(this,Hv(EB(e)));case 4:return void Nnt(this,zz(e,19).a);case 5:return void Yk(this,zz(e,19).a);case 8:return void Ilt(this,zz(e,138));case 9:return void((n=HEt(this,zz(e,87),null))&&n.Fi());case 10:return void Dft(this,Hv(EB(e)));case 11:return void Pft(this,Hv(EB(e)));case 12:return void Oft(this,Hv(EB(e)));case 13:return void $M(this,CB(e));case 15:return void Nft(this,Hv(EB(e)));case 16:return void Zft(this,Hv(EB(e)));case 18:return void Uft(this,Hv(EB(e)))}Ndt(this,t-dG((wKt(),iDe)),iet(zz(xot(this,16),26)||iDe,t),e)},CKt.zh=function(){return wKt(),iDe},CKt.Bh=function(t){var e;switch(t){case 0:return!this.Ab&&(this.Ab=new nY(RLe,this,0,3)),void lHt(this.Ab);case 1:return aO(this.Cb,88)&&DAt(S5(zz(this.Cb,88)),4),void Prt(this,null);case 2:return void Qht(this,!0);case 3:return void eft(this,!0);case 4:return void Nnt(this,0);case 5:return this.b=0,void Pnt(this,1);case 8:return void Ilt(this,null);case 9:return void((e=HEt(this,null,null))&&e.Fi());case 10:return void Dft(this,!0);case 11:return void Pft(this,!1);case 12:return void Oft(this,!1);case 13:return this.i=null,void srt(this,null);case 15:return void Nft(this,!1);case 16:return void Zft(this,!1);case 18:return void Uft(this,!1)}Zht(this,t-dG((wKt(),iDe)),iet(zz(xot(this,16),26)||iDe,t))},CKt.Gh=function(){cst(this),xW(z9((ISt(),JDe),this)),Ixt(this),this.Bb|=1},CKt.$j=function(){return PMt(this)},CKt.nk=function(t,e){return this.b=0,this.a=null,Aht(this,t,e)},CKt.ok=function(t){Yk(this,t)},CKt.Ib=function(){var t;return 0!=(64&this.Db)?EFt(this):((t=new hN(EFt(this))).a+=" (iD: ",v_(t,0!=(this.Bb&h6t)),t.a+=")",t.a)},CKt.b=0,yG(d6t,"EAttributeImpl",322),pLt(351,438,{105:1,92:1,90:1,138:1,147:1,191:1,56:1,108:1,49:1,97:1,351:1,150:1,114:1,115:1,676:1}),CKt.uk=function(t){return t.Tg()==this},CKt.Qg=function(t){return fvt(this,t)},CKt.Rg=function(t,e){this.w=null,this.Db=e<<16|255&this.Db,this.Cb=t},CKt._g=function(t,e,n){switch(t){case 0:return!this.Ab&&(this.Ab=new nY(RLe,this,0,3)),this.Ab;case 1:return this.zb;case 2:return null!=this.D?this.D:this.B;case 3:return rvt(this);case 4:return this.zj();case 5:return this.F;case 6:return e?Get(this):gJ(this);case 7:return!this.A&&(this.A=new NO(IDe,this,7)),this.A}return Y8(this,t-dG(this.zh()),iet(zz(xot(this,16),26)||this.zh(),t),e,n)},CKt.hh=function(t,e,n){var i;switch(e){case 0:return!this.Ab&&(this.Ab=new nY(RLe,this,0,3)),Qgt(this.Ab,t,n);case 6:return this.Cb&&(n=(i=this.Db>>16)>=0?fvt(this,n):this.Cb.ih(this,-1-i,null,n)),T$t(this,t,6,n)}return zz(iet(zz(xot(this,16),26)||this.zh(),e),66).Nj().Qj(this,fbt(this),e-dG(this.zh()),t,n)},CKt.jh=function(t,e,n){switch(e){case 0:return!this.Ab&&(this.Ab=new nY(RLe,this,0,3)),jwt(this.Ab,t,n);case 6:return T$t(this,null,6,n);case 7:return!this.A&&(this.A=new NO(IDe,this,7)),jwt(this.A,t,n)}return zz(iet(zz(xot(this,16),26)||this.zh(),e),66).Nj().Rj(this,fbt(this),e-dG(this.zh()),t,n)},CKt.lh=function(t){switch(t){case 0:return!!this.Ab&&0!=this.Ab.i;case 1:return null!=this.zb;case 2:return null!=this.D&&this.D==this.F;case 3:return!!rvt(this);case 4:return null!=this.zj();case 5:return null!=this.F&&this.F!=this.D&&this.F!=this.B;case 6:return!!gJ(this);case 7:return!!this.A&&0!=this.A.i}return I3(this,t-dG(this.zh()),iet(zz(xot(this,16),26)||this.zh(),t))},CKt.sh=function(t,e){switch(t){case 0:return!this.Ab&&(this.Ab=new nY(RLe,this,0,3)),lHt(this.Ab),!this.Ab&&(this.Ab=new nY(RLe,this,0,3)),void wG(this.Ab,zz(e,14));case 1:return void JJ(this,CB(e));case 2:return void ML(this,CB(e));case 5:return void QHt(this,CB(e));case 7:return!this.A&&(this.A=new NO(IDe,this,7)),lHt(this.A),!this.A&&(this.A=new NO(IDe,this,7)),void wG(this.A,zz(e,14))}Ndt(this,t-dG(this.zh()),iet(zz(xot(this,16),26)||this.zh(),t),e)},CKt.zh=function(){return wKt(),aDe},CKt.Bh=function(t){switch(t){case 0:return!this.Ab&&(this.Ab=new nY(RLe,this,0,3)),void lHt(this.Ab);case 1:return aO(this.Cb,179)&&(zz(this.Cb,179).tb=null),void Prt(this,null);case 2:return Fut(this,null),void Bnt(this,this.D);case 5:return void QHt(this,null);case 7:return!this.A&&(this.A=new NO(IDe,this,7)),void lHt(this.A)}Zht(this,t-dG(this.zh()),iet(zz(xot(this,16),26)||this.zh(),t))},CKt.yj=function(){var t;return-1==this.G&&(this.G=(t=Get(this))?cyt(t.Mh(),this):-1),this.G},CKt.zj=function(){return null},CKt.Aj=function(){return Get(this)},CKt.vk=function(){return this.v},CKt.Bj=function(){return rvt(this)},CKt.Cj=function(){return null!=this.D?this.D:this.B},CKt.Dj=function(){return this.F},CKt.wj=function(t){return Sjt(this,t)},CKt.wk=function(t){this.v=t},CKt.xk=function(t){Grt(this,t)},CKt.yk=function(t){this.C=t},CKt.Lh=function(t){JJ(this,t)},CKt.Ib=function(){return Mgt(this)},CKt.C=null,CKt.D=null,CKt.G=-1,yG(d6t,"EClassifierImpl",351),pLt(88,351,{105:1,92:1,90:1,26:1,138:1,147:1,191:1,56:1,108:1,49:1,97:1,88:1,351:1,150:1,473:1,114:1,115:1,676:1},Rh),CKt.uk=function(t){return XF(this,t.Tg())},CKt._g=function(t,e,n){switch(t){case 0:return!this.Ab&&(this.Ab=new nY(RLe,this,0,3)),this.Ab;case 1:return this.zb;case 2:return null!=this.D?this.D:this.B;case 3:return rvt(this);case 4:return null;case 5:return this.F;case 6:return e?Get(this):gJ(this);case 7:return!this.A&&(this.A=new NO(IDe,this,7)),this.A;case 8:return lN(),0!=(256&this.Bb);case 9:return lN(),0!=(512&this.Bb);case 10:return xV(this);case 11:return!this.q&&(this.q=new nY(XLe,this,11,10)),this.q;case 12:return Qzt(this);case 13:return Rzt(this);case 14:return Rzt(this),this.r;case 15:return 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Fh),this.k).ck(),t))},yG(P9t,"SimpleAnyTypeImpl",668),pLt(669,506,{105:1,92:1,90:1,56:1,49:1,97:1,2023:1,669:1},Rm),CKt._g=function(t,e,n){switch(t){case 0:return n?(!this.a&&(this.a=new Eat(this,0)),this.a):(!this.a&&(this.a=new Eat(this,0)),this.a.b);case 1:return n?(!this.b&&(this.b=new v8((wKt(),xDe),GDe,this,1)),this.b):(!this.b&&(this.b=new v8((wKt(),xDe),GDe,this,1)),L7(this.b));case 2:return n?(!this.c&&(this.c=new v8((wKt(),xDe),GDe,this,2)),this.c):(!this.c&&(this.c=new v8((wKt(),xDe),GDe,this,2)),L7(this.c));case 3:return!this.a&&(this.a=new Eat(this,0)),t1(this.a,(GHt(),BOe));case 4:return!this.a&&(this.a=new Eat(this,0)),t1(this.a,(GHt(),FOe));case 5:return!this.a&&(this.a=new Eat(this,0)),t1(this.a,(GHt(),$Oe));case 6:return!this.a&&(this.a=new Eat(this,0)),t1(this.a,(GHt(),jOe))}return Y8(this,t-dG((GHt(),POe)),iet(0==(2&this.j)?POe:(!this.k&&(this.k=new Fh),this.k).ck(),t),e,n)},CKt.jh=function(t,e,n){switch(e){case 0:return!this.a&&(this.a=new Eat(this,0)),TRt(this.a,t,n);case 1:return!this.b&&(this.b=new v8((wKt(),xDe),GDe,this,1)),zR(this.b,t,n);case 2:return!this.c&&(this.c=new v8((wKt(),xDe),GDe,this,2)),zR(this.c,t,n);case 5:return!this.a&&(this.a=new Eat(this,0)),eF(t1(this.a,(GHt(),$Oe)),t,n)}return zz(iet(0==(2&this.j)?(GHt(),POe):(!this.k&&(this.k=new Fh),this.k).ck(),e),66).Nj().Rj(this,X9(this),e-dG((GHt(),POe)),t,n)},CKt.lh=function(t){switch(t){case 0:return!!this.a&&0!=this.a.i;case 1:return!!this.b&&0!=this.b.f;case 2:return!!this.c&&0!=this.c.f;case 3:return!this.a&&(this.a=new Eat(this,0)),!qM(t1(this.a,(GHt(),BOe)));case 4:return!this.a&&(this.a=new Eat(this,0)),!qM(t1(this.a,(GHt(),FOe)));case 5:return!this.a&&(this.a=new Eat(this,0)),!qM(t1(this.a,(GHt(),$Oe)));case 6:return!this.a&&(this.a=new Eat(this,0)),!qM(t1(this.a,(GHt(),jOe)))}return I3(this,t-dG((GHt(),POe)),iet(0==(2&this.j)?POe:(!this.k&&(this.k=new Fh),this.k).ck(),t))},CKt.sh=function(t,e){switch(t){case 0:return!this.a&&(this.a=new Eat(this,0)),void eG(this.a,e);case 1:return!this.b&&(this.b=new v8((wKt(),xDe),GDe,this,1)),void not(this.b,e);case 2:return!this.c&&(this.c=new v8((wKt(),xDe),GDe,this,2)),void not(this.c,e);case 3:return!this.a&&(this.a=new Eat(this,0)),Ny(t1(this.a,(GHt(),BOe))),!this.a&&(this.a=new Eat(this,0)),void JD(t1(this.a,BOe),zz(e,14));case 4:return!this.a&&(this.a=new Eat(this,0)),Ny(t1(this.a,(GHt(),FOe))),!this.a&&(this.a=new Eat(this,0)),void JD(t1(this.a,FOe),zz(e,14));case 5:return!this.a&&(this.a=new Eat(this,0)),Ny(t1(this.a,(GHt(),$Oe))),!this.a&&(this.a=new Eat(this,0)),void JD(t1(this.a,$Oe),zz(e,14));case 6:return!this.a&&(this.a=new Eat(this,0)),Ny(t1(this.a,(GHt(),jOe))),!this.a&&(this.a=new Eat(this,0)),void JD(t1(this.a,jOe),zz(e,14))}Ndt(this,t-dG((GHt(),POe)),iet(0==(2&this.j)?POe:(!this.k&&(this.k=new Fh),this.k).ck(),t),e)},CKt.zh=function(){return GHt(),POe},CKt.Bh=function(t){switch(t){case 0:return!this.a&&(this.a=new Eat(this,0)),void lHt(this.a);case 1:return!this.b&&(this.b=new v8((wKt(),xDe),GDe,this,1)),void this.b.c.$b();case 2:return!this.c&&(this.c=new v8((wKt(),xDe),GDe,this,2)),void this.c.c.$b();case 3:return!this.a&&(this.a=new Eat(this,0)),void Ny(t1(this.a,(GHt(),BOe)));case 4:return!this.a&&(this.a=new Eat(this,0)),void Ny(t1(this.a,(GHt(),FOe)));case 5:return!this.a&&(this.a=new Eat(this,0)),void Ny(t1(this.a,(GHt(),$Oe)));case 6:return!this.a&&(this.a=new Eat(this,0)),void Ny(t1(this.a,(GHt(),jOe)))}Zht(this,t-dG((GHt(),POe)),iet(0==(2&this.j)?POe:(!this.k&&(this.k=new Fh),this.k).ck(),t))},CKt.Ib=function(){var t;return 0!=(4&this.j)?ADt(this):((t=new hN(ADt(this))).a+=" (mixed: ",rI(t,this.a),t.a+=")",t.a)},yG(P9t,"XMLTypeDocumentRootImpl",669),pLt(1919,704,{105:1,92:1,90:1,471:1,147:1,56:1,108:1,49:1,97:1,150:1,114:1,115:1,2024:1},Bu),CKt.Ih=function(t,e){switch(t.yj()){case 7:case 8:case 9:case 10:case 16:case 22:case 23:case 24:case 25:case 26:case 32:case 33:case 34:case 36:case 37:case 44:case 45:case 50:case 51:case 53:case 55:case 56:case 57:case 58:case 60:case 61:case 4:return null==e?null:qdt(e);case 19:case 28:case 29:case 35:case 38:case 39:case 41:case 46:case 52:case 54:case 5:return CB(e);case 6:return mB(zz(e,190));case 12:case 47:case 49:case 11:return ZZt(this,t,e);case 13:return null==e?null:Uzt(zz(e,240));case 15:case 14:return null==e?null:FY(Zv(TB(e)));case 17:return E_t((GHt(),e));case 18:return E_t(e);case 21:case 20:return null==e?null:RY(zz(e,155).a);case 27:return vB(zz(e,190));case 30:return jmt((GHt(),zz(e,15)));case 31:return jmt(zz(e,15));case 40:return kB((GHt(),e));case 42:return T_t((GHt(),e));case 43:return T_t(e);case 59:case 48:return xB((GHt(),e));default:throw qw(new $v(b6t+t.ne()+w6t))}},CKt.Jh=function(t){var e;switch(-1==t.G&&(t.G=(e=Get(t))?cyt(e.Mh(),t):-1),t.G){case 0:return new Fm;case 1:return new Fu;case 2:return new $m;case 3:return new Rm;default:throw qw(new $v(v6t+t.zb+w6t))}},CKt.Kh=function(t,e){var n,i,r,a,o,s,c,u,l,h,f,d,g,p,b,w;switch(t.yj()){case 5:case 52:case 4:return e;case 6:return xwt(e);case 8:case 7:return null==e?null:j_t(e);case 9:return null==e?null:Stt(d$t((i=zzt(e,!0)).length>0&&(d1(0,i.length),43==i.charCodeAt(0))?i.substr(1):i,-128,127)<<24>>24);case 10:return null==e?null:Stt(d$t((r=zzt(e,!0)).length>0&&(d1(0,r.length),43==r.charCodeAt(0))?r.substr(1):r,-128,127)<<24>>24);case 11:return CB(BGt(this,(GHt(),xOe),e));case 12:return CB(BGt(this,(GHt(),kOe),e));case 13:return null==e?null:new g_(zzt(e,!0));case 15:case 14:return wOt(e);case 16:return CB(BGt(this,(GHt(),_Oe),e));case 17:return Hpt((GHt(),e));case 18:return Hpt(e);case 28:case 29:case 35:case 38:case 39:case 41:case 54:case 19:return zzt(e,!0);case 21:case 20:return IOt(e);case 22:return CB(BGt(this,(GHt(),EOe),e));case 23:return CB(BGt(this,(GHt(),TOe),e));case 24:return CB(BGt(this,(GHt(),COe),e));case 25:return CB(BGt(this,(GHt(),SOe),e));case 26:return CB(BGt(this,(GHt(),AOe),e));case 27:return twt(e);case 30:return Zpt((GHt(),e));case 31:return Zpt(e);case 32:return null==e?null:rft(d$t((l=zzt(e,!0)).length>0&&(d1(0,l.length),43==l.charCodeAt(0))?l.substr(1):l,jWt,FKt));case 33:return null==e?null:new DL((h=zzt(e,!0)).length>0&&(d1(0,h.length),43==h.charCodeAt(0))?h.substr(1):h);case 34:return null==e?null:rft(d$t((f=zzt(e,!0)).length>0&&(d1(0,f.length),43==f.charCodeAt(0))?f.substr(1):f,jWt,FKt));case 36:return null==e?null:_bt(aYt((d=zzt(e,!0)).length>0&&(d1(0,d.length),43==d.charCodeAt(0))?d.substr(1):d));case 37:return null==e?null:_bt(aYt((g=zzt(e,!0)).length>0&&(d1(0,g.length),43==g.charCodeAt(0))?g.substr(1):g));case 40:return Xgt((GHt(),e));case 42:return Upt((GHt(),e));case 43:return Upt(e);case 44:return null==e?null:new DL((p=zzt(e,!0)).length>0&&(d1(0,p.length),43==p.charCodeAt(0))?p.substr(1):p);case 45:return null==e?null:new DL((b=zzt(e,!0)).length>0&&(d1(0,b.length),43==b.charCodeAt(0))?b.substr(1):b);case 46:return zzt(e,!1);case 47:return CB(BGt(this,(GHt(),MOe),e));case 59:case 48:return Wgt((GHt(),e));case 49:return CB(BGt(this,(GHt(),LOe),e));case 50:return null==e?null:aft(d$t((w=zzt(e,!0)).length>0&&(d1(0,w.length),43==w.charCodeAt(0))?w.substr(1):w,V8t,32767)<<16>>16);case 51:return null==e?null:aft(d$t((a=zzt(e,!0)).length>0&&(d1(0,a.length),43==a.charCodeAt(0))?a.substr(1):a,V8t,32767)<<16>>16);case 53:return CB(BGt(this,(GHt(),NOe),e));case 55:return null==e?null:aft(d$t((o=zzt(e,!0)).length>0&&(d1(0,o.length),43==o.charCodeAt(0))?o.substr(1):o,V8t,32767)<<16>>16);case 56:return null==e?null:aft(d$t((s=zzt(e,!0)).length>0&&(d1(0,s.length),43==s.charCodeAt(0))?s.substr(1):s,V8t,32767)<<16>>16);case 57:return null==e?null:_bt(aYt((c=zzt(e,!0)).length>0&&(d1(0,c.length),43==c.charCodeAt(0))?c.substr(1):c));case 58:return null==e?null:_bt(aYt((u=zzt(e,!0)).length>0&&(d1(0,u.length),43==u.charCodeAt(0))?u.substr(1):u));case 60:return null==e?null:rft(d$t((n=zzt(e,!0)).length>0&&(d1(0,n.length),43==n.charCodeAt(0))?n.substr(1):n,jWt,FKt));case 61:return null==e?null:rft(d$t(zzt(e,!0),jWt,FKt));default:throw qw(new $v(b6t+t.ne()+w6t))}},yG(P9t,"XMLTypeFactoryImpl",1919),pLt(586,179,{105:1,92:1,90:1,147:1,191:1,56:1,235:1,108:1,49:1,97:1,150:1,179:1,114:1,115:1,675:1,1945:1,586:1},UK),CKt.N=!1,CKt.O=!1;var KOe,WOe,XOe,VOe,QOe,JOe=!1;yG(P9t,"XMLTypePackageImpl",586),pLt(1852,1,{837:1},Ru),CKt._j=function(){return fjt(),ENe},yG(P9t,"XMLTypePackageImpl/1",1852),pLt(1861,1,l9t,$u),CKt.wj=function(t){return GM(t)},CKt.xj=function(t){return P7(Vee,lWt,2,t,6,1)},yG(P9t,"XMLTypePackageImpl/10",1861),pLt(1862,1,l9t,ju),CKt.wj=function(t){return GM(t)},CKt.xj=function(t){return P7(Vee,lWt,2,t,6,1)},yG(P9t,"XMLTypePackageImpl/11",1862),pLt(1863,1,l9t,zu),CKt.wj=function(t){return GM(t)},CKt.xj=function(t){return P7(Vee,lWt,2,t,6,1)},yG(P9t,"XMLTypePackageImpl/12",1863),pLt(1864,1,l9t,qu),CKt.wj=function(t){return YM(t)},CKt.xj=function(t){return P7(Aee,lWt,333,t,7,1)},yG(P9t,"XMLTypePackageImpl/13",1864),pLt(1865,1,l9t,Hu),CKt.wj=function(t){return GM(t)},CKt.xj=function(t){return P7(Vee,lWt,2,t,6,1)},yG(P9t,"XMLTypePackageImpl/14",1865),pLt(1866,1,l9t,Zu),CKt.wj=function(t){return aO(t,15)},CKt.xj=function(t){return P7(Rte,eJt,15,t,0,1)},yG(P9t,"XMLTypePackageImpl/15",1866),pLt(1867,1,l9t,Uu),CKt.wj=function(t){return aO(t,15)},CKt.xj=function(t){return P7(Rte,eJt,15,t,0,1)},yG(P9t,"XMLTypePackageImpl/16",1867),pLt(1868,1,l9t,Yu),CKt.wj=function(t){return GM(t)},CKt.xj=function(t){return P7(Vee,lWt,2,t,6,1)},yG(P9t,"XMLTypePackageImpl/17",1868),pLt(1869,1,l9t,Gu),CKt.wj=function(t){return aO(t,155)},CKt.xj=function(t){return P7(Mee,lWt,155,t,0,1)},yG(P9t,"XMLTypePackageImpl/18",1869),pLt(1870,1,l9t,Ku),CKt.wj=function(t){return GM(t)},CKt.xj=function(t){return P7(Vee,lWt,2,t,6,1)},yG(P9t,"XMLTypePackageImpl/19",1870),pLt(1853,1,l9t,Wu),CKt.wj=function(t){return 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source!";e.push(i)}})),e},u.prototype.getEdgesBetween=function(t){var e=[],n=this;return n.edges.forEach((function(i){if(i.source!=n&&i.target!=n)throw"Incorrect edge source and/or target";i.target!=t&&i.source!=t||e.push(i)})),e},u.prototype.getNeighborsList=function(){var t=new Set,e=this;return e.edges.forEach((function(n){if(n.source==e)t.add(n.target);else{if(n.target!=e)throw"Incorrect incidency!";t.add(n.source)}})),t},u.prototype.withChildren=function(){var t=new Set;if(t.add(this),null!=this.child)for(var e=this.child.getNodes(),n=0;n<e.length;n++)e[n].withChildren().forEach((function(e){t.add(e)}));return t},u.prototype.getNoOfChildren=function(){var t=0;if(null==this.child)t=1;else for(var e=this.child.getNodes(),n=0;n<e.length;n++)t+=e[n].getNoOfChildren();return 0==t&&(t=1),t},u.prototype.getEstimatedSize=function(){if(this.estimatedSize==r.MIN_VALUE)throw"assert failed";return this.estimatedSize},u.prototype.calcEstimatedSize=function(){return null==this.child?this.estimatedSize=(this.rect.width+this.rect.height)/2:(this.estimatedSize=this.child.calcEstimatedSize(),this.rect.width=this.estimatedSize,this.rect.height=this.estimatedSize,this.estimatedSize)},u.prototype.scatter=function(){var t,e,n=-o.INITIAL_WORLD_BOUNDARY,i=o.INITIAL_WORLD_BOUNDARY;t=o.WORLD_CENTER_X+s.nextDouble()*(i-n)+n;var r=-o.INITIAL_WORLD_BOUNDARY,a=o.INITIAL_WORLD_BOUNDARY;e=o.WORLD_CENTER_Y+s.nextDouble()*(a-r)+r,this.rect.x=t,this.rect.y=e},u.prototype.updateBounds=function(){if(null==this.getChild())throw"assert failed";if(0!=this.getChild().getNodes().length){var t=this.getChild();if(t.updateBounds(!0),this.rect.x=t.getLeft(),this.rect.y=t.getTop(),this.setWidth(t.getRight()-t.getLeft()),this.setHeight(t.getBottom()-t.getTop()),o.NODE_DIMENSIONS_INCLUDE_LABELS){var e=t.getRight()-t.getLeft(),n=t.getBottom()-t.getTop();this.labelWidth>e&&(this.rect.x-=(this.labelWidth-e)/2,this.setWidth(this.labelWidth)),this.labelHeight>n&&("center"==this.labelPos?this.rect.y-=(this.labelHeight-n)/2:"top"==this.labelPos&&(this.rect.y-=this.labelHeight-n),this.setHeight(this.labelHeight))}}},u.prototype.getInclusionTreeDepth=function(){if(this.inclusionTreeDepth==r.MAX_VALUE)throw"assert failed";return this.inclusionTreeDepth},u.prototype.transform=function(t){var e=this.rect.x;e>o.WORLD_BOUNDARY?e=o.WORLD_BOUNDARY:e<-o.WORLD_BOUNDARY&&(e=-o.WORLD_BOUNDARY);var n=this.rect.y;n>o.WORLD_BOUNDARY?n=o.WORLD_BOUNDARY:n<-o.WORLD_BOUNDARY&&(n=-o.WORLD_BOUNDARY);var i=new c(e,n),r=t.inverseTransformPoint(i);this.setLocation(r.x,r.y)},u.prototype.getLeft=function(){return this.rect.x},u.prototype.getRight=function(){return this.rect.x+this.rect.width},u.prototype.getTop=function(){return this.rect.y},u.prototype.getBottom=function(){return this.rect.y+this.rect.height},u.prototype.getParent=function(){return null==this.owner?null:this.owner.getParent()},t.exports=u},function(t,e,n){"use strict";function i(t,e){null==t&&null==e?(this.x=0,this.y=0):(this.x=t,this.y=e)}i.prototype.getX=function(){return this.x},i.prototype.getY=function(){return this.y},i.prototype.setX=function(t){this.x=t},i.prototype.setY=function(t){this.y=t},i.prototype.getDifference=function(t){return new DimensionD(this.x-t.x,this.y-t.y)},i.prototype.getCopy=function(){return new i(this.x,this.y)},i.prototype.translate=function(t){return this.x+=t.width,this.y+=t.height,this},t.exports=i},function(t,e,n){"use strict";var i=n(2),r=n(10),a=n(0),o=n(6),s=n(3),c=n(1),u=n(13),l=n(12),h=n(11);function f(t,e,n){i.call(this,n),this.estimatedSize=r.MIN_VALUE,this.margin=a.DEFAULT_GRAPH_MARGIN,this.edges=[],this.nodes=[],this.isConnected=!1,this.parent=t,null!=e&&e instanceof o?this.graphManager=e:null!=e&&e instanceof Layout&&(this.graphManager=e.graphManager)}for(var d in f.prototype=Object.create(i.prototype),i)f[d]=i[d];f.prototype.getNodes=function(){return this.nodes},f.prototype.getEdges=function(){return this.edges},f.prototype.getGraphManager=function(){return this.graphManager},f.prototype.getParent=function(){return this.parent},f.prototype.getLeft=function(){return this.left},f.prototype.getRight=function(){return this.right},f.prototype.getTop=function(){return this.top},f.prototype.getBottom=function(){return this.bottom},f.prototype.isConnected=function(){return this.isConnected},f.prototype.add=function(t,e,n){if(null==e&&null==n){var i=t;if(null==this.graphManager)throw"Graph has no graph mgr!";if(this.getNodes().indexOf(i)>-1)throw"Node already in graph!";return i.owner=this,this.getNodes().push(i),i}var r=t;if(!(this.getNodes().indexOf(e)>-1&&this.getNodes().indexOf(n)>-1))throw"Source or target not in graph!";if(e.owner!=n.owner||e.owner!=this)throw"Both owners must be this graph!";return e.owner!=n.owner?null:(r.source=e,r.target=n,r.isInterGraph=!1,this.getEdges().push(r),e.edges.push(r),n!=e&&n.edges.push(r),r)},f.prototype.remove=function(t){var e=t;if(t instanceof s){if(null==e)throw"Node is null!";if(null==e.owner||e.owner!=this)throw"Owner graph is invalid!";if(null==this.graphManager)throw"Owner graph manager is invalid!";for(var n=e.edges.slice(),i=n.length,r=0;r<i;r++)(a=n[r]).isInterGraph?this.graphManager.remove(a):a.source.owner.remove(a);if(-1==(o=this.nodes.indexOf(e)))throw"Node not in owner node list!";this.nodes.splice(o,1)}else if(t instanceof c){var a;if(null==(a=t))throw"Edge is null!";if(null==a.source||null==a.target)throw"Source and/or target is null!";if(null==a.source.owner||null==a.target.owner||a.source.owner!=this||a.target.owner!=this)throw"Source and/or target owner is invalid!";var o,u=a.source.edges.indexOf(a),l=a.target.edges.indexOf(a);if(!(u>-1&&l>-1))throw"Source and/or target doesn't know this edge!";if(a.source.edges.splice(u,1),a.target!=a.source&&a.target.edges.splice(l,1),-1==(o=a.source.owner.getEdges().indexOf(a)))throw"Not in owner's edge list!";a.source.owner.getEdges().splice(o,1)}},f.prototype.updateLeftTop=function(){for(var t,e,n,i=r.MAX_VALUE,a=r.MAX_VALUE,o=this.getNodes(),s=o.length,c=0;c<s;c++){var u=o[c];i>(t=u.getTop())&&(i=t),a>(e=u.getLeft())&&(a=e)}return i==r.MAX_VALUE?null:(n=null!=o[0].getParent().paddingLeft?o[0].getParent().paddingLeft:this.margin,this.left=a-n,this.top=i-n,new l(this.left,this.top))},f.prototype.updateBounds=function(t){for(var e,n,i,a,o,s=r.MAX_VALUE,c=-r.MAX_VALUE,l=r.MAX_VALUE,h=-r.MAX_VALUE,f=this.nodes,d=f.length,g=0;g<d;g++){var p=f[g];t&&null!=p.child&&p.updateBounds(),s>(e=p.getLeft())&&(s=e),c<(n=p.getRight())&&(c=n),l>(i=p.getTop())&&(l=i),h<(a=p.getBottom())&&(h=a)}var b=new u(s,l,c-s,h-l);s==r.MAX_VALUE&&(this.left=this.parent.getLeft(),this.right=this.parent.getRight(),this.top=this.parent.getTop(),this.bottom=this.parent.getBottom()),o=null!=f[0].getParent().paddingLeft?f[0].getParent().paddingLeft:this.margin,this.left=b.x-o,this.right=b.x+b.width+o,this.top=b.y-o,this.bottom=b.y+b.height+o},f.calculateBounds=function(t){for(var e,n,i,a,o=r.MAX_VALUE,s=-r.MAX_VALUE,c=r.MAX_VALUE,l=-r.MAX_VALUE,h=t.length,f=0;f<h;f++){var d=t[f];o>(e=d.getLeft())&&(o=e),s<(n=d.getRight())&&(s=n),c>(i=d.getTop())&&(c=i),l<(a=d.getBottom())&&(l=a)}return new u(o,c,s-o,l-c)},f.prototype.getInclusionTreeDepth=function(){return this==this.graphManager.getRoot()?1:this.parent.getInclusionTreeDepth()},f.prototype.getEstimatedSize=function(){if(this.estimatedSize==r.MIN_VALUE)throw"assert failed";return this.estimatedSize},f.prototype.calcEstimatedSize=function(){for(var t=0,e=this.nodes,n=e.length,i=0;i<n;i++)t+=e[i].calcEstimatedSize();return this.estimatedSize=0==t?a.EMPTY_COMPOUND_NODE_SIZE:t/Math.sqrt(this.nodes.length),this.estimatedSize},f.prototype.updateConnected=function(){var t=this;if(0!=this.nodes.length){var e,n,i=new h,r=new Set,a=this.nodes[0];for(a.withChildren().forEach((function(t){i.push(t),r.add(t)}));0!==i.length;)for(var o=(e=(a=i.shift()).getEdges()).length,s=0;s<o;s++)null==(n=e[s].getOtherEndInGraph(a,this))||r.has(n)||n.withChildren().forEach((function(t){i.push(t),r.add(t)}));if(this.isConnected=!1,r.size>=this.nodes.length){var c=0;r.forEach((function(e){e.owner==t&&c++})),c==this.nodes.length&&(this.isConnected=!0)}}else this.isConnected=!0},t.exports=f},function(t,e,n){"use strict";var i,r=n(1);function a(t){i=n(5),this.layout=t,this.graphs=[],this.edges=[]}a.prototype.addRoot=function(){var t=this.layout.newGraph(),e=this.layout.newNode(null),n=this.add(t,e);return this.setRootGraph(n),this.rootGraph},a.prototype.add=function(t,e,n,i,r){if(null==n&&null==i&&null==r){if(null==t)throw"Graph is null!";if(null==e)throw"Parent node is null!";if(this.graphs.indexOf(t)>-1)throw"Graph already in this graph mgr!";if(this.graphs.push(t),null!=t.parent)throw"Already has a parent!";if(null!=e.child)throw"Already has a child!";return t.parent=e,e.child=t,t}r=n,n=t;var a=(i=e).getOwner(),o=r.getOwner();if(null==a||a.getGraphManager()!=this)throw"Source not in this graph mgr!";if(null==o||o.getGraphManager()!=this)throw"Target not in this graph mgr!";if(a==o)return n.isInterGraph=!1,a.add(n,i,r);if(n.isInterGraph=!0,n.source=i,n.target=r,this.edges.indexOf(n)>-1)throw"Edge already in inter-graph edge list!";if(this.edges.push(n),null==n.source||null==n.target)throw"Edge source and/or target is null!";if(-1!=n.source.edges.indexOf(n)||-1!=n.target.edges.indexOf(n))throw"Edge already in source and/or target incidency list!";return n.source.edges.push(n),n.target.edges.push(n),n},a.prototype.remove=function(t){if(t instanceof i){var e=t;if(e.getGraphManager()!=this)throw"Graph not in this graph mgr";if(e!=this.rootGraph&&(null==e.parent||e.parent.graphManager!=this))throw"Invalid parent node!";for(var n,a=[],o=(a=a.concat(e.getEdges())).length,s=0;s<o;s++)n=a[s],e.remove(n);var c,u=[];for(o=(u=u.concat(e.getNodes())).length,s=0;s<o;s++)c=u[s],e.remove(c);e==this.rootGraph&&this.setRootGraph(null);var l=this.graphs.indexOf(e);this.graphs.splice(l,1),e.parent=null}else if(t instanceof r){if(null==(n=t))throw"Edge is null!";if(!n.isInterGraph)throw"Not an inter-graph edge!";if(null==n.source||null==n.target)throw"Source and/or target is null!";if(-1==n.source.edges.indexOf(n)||-1==n.target.edges.indexOf(n))throw"Source and/or target doesn't know this edge!";if(l=n.source.edges.indexOf(n),n.source.edges.splice(l,1),l=n.target.edges.indexOf(n),n.target.edges.splice(l,1),null==n.source.owner||null==n.source.owner.getGraphManager())throw"Edge owner graph or owner graph manager is null!";if(-1==n.source.owner.getGraphManager().edges.indexOf(n))throw"Not in owner graph manager's edge list!";l=n.source.owner.getGraphManager().edges.indexOf(n),n.source.owner.getGraphManager().edges.splice(l,1)}},a.prototype.updateBounds=function(){this.rootGraph.updateBounds(!0)},a.prototype.getGraphs=function(){return this.graphs},a.prototype.getAllNodes=function(){if(null==this.allNodes){for(var t=[],e=this.getGraphs(),n=e.length,i=0;i<n;i++)t=t.concat(e[i].getNodes());this.allNodes=t}return this.allNodes},a.prototype.resetAllNodes=function(){this.allNodes=null},a.prototype.resetAllEdges=function(){this.allEdges=null},a.prototype.resetAllNodesToApplyGravitation=function(){this.allNodesToApplyGravitation=null},a.prototype.getAllEdges=function(){if(null==this.allEdges){for(var t=[],e=this.getGraphs(),n=(e.length,0);n<e.length;n++)t=t.concat(e[n].getEdges());t=t.concat(this.edges),this.allEdges=t}return this.allEdges},a.prototype.getAllNodesToApplyGravitation=function(){return this.allNodesToApplyGravitation},a.prototype.setAllNodesToApplyGravitation=function(t){if(null!=this.allNodesToApplyGravitation)throw"assert failed";this.allNodesToApplyGravitation=t},a.prototype.getRoot=function(){return this.rootGraph},a.prototype.setRootGraph=function(t){if(t.getGraphManager()!=this)throw"Root not in this graph mgr!";this.rootGraph=t,null==t.parent&&(t.parent=this.layout.newNode("Root node"))},a.prototype.getLayout=function(){return this.layout},a.prototype.isOneAncestorOfOther=function(t,e){if(null==t||null==e)throw"assert failed";if(t==e)return!0;for(var n,i=t.getOwner();null!=(n=i.getParent());){if(n==e)return!0;if(null==(i=n.getOwner()))break}for(i=e.getOwner();null!=(n=i.getParent());){if(n==t)return!0;if(null==(i=n.getOwner()))break}return!1},a.prototype.calcLowestCommonAncestors=function(){for(var t,e,n,i,r,a=this.getAllEdges(),o=a.length,s=0;s<o;s++)if(e=(t=a[s]).source,n=t.target,t.lca=null,t.sourceInLca=e,t.targetInLca=n,e!=n){for(i=e.getOwner();null==t.lca;){for(t.targetInLca=n,r=n.getOwner();null==t.lca;){if(r==i){t.lca=r;break}if(r==this.rootGraph)break;if(null!=t.lca)throw"assert failed";t.targetInLca=r.getParent(),r=t.targetInLca.getOwner()}if(i==this.rootGraph)break;null==t.lca&&(t.sourceInLca=i.getParent(),i=t.sourceInLca.getOwner())}if(null==t.lca)throw"assert failed"}else t.lca=e.getOwner()},a.prototype.calcLowestCommonAncestor=function(t,e){if(t==e)return t.getOwner();for(var n=t.getOwner();null!=n;){for(var i=e.getOwner();null!=i;){if(i==n)return i;i=i.getParent().getOwner()}n=n.getParent().getOwner()}return n},a.prototype.calcInclusionTreeDepths=function(t,e){var n;null==t&&null==e&&(t=this.rootGraph,e=1);for(var i=t.getNodes(),r=i.length,a=0;a<r;a++)(n=i[a]).inclusionTreeDepth=e,null!=n.child&&this.calcInclusionTreeDepths(n.child,e+1)},a.prototype.includesInvalidEdge=function(){for(var t,e=this.edges.length,n=0;n<e;n++)if(t=this.edges[n],this.isOneAncestorOfOther(t.source,t.target))return!0;return!1},t.exports=a},function(t,e,n){"use strict";var i=n(0);function r(){}for(var a in i)r[a]=i[a];r.MAX_ITERATIONS=2500,r.DEFAULT_EDGE_LENGTH=50,r.DEFAULT_SPRING_STRENGTH=.45,r.DEFAULT_REPULSION_STRENGTH=4500,r.DEFAULT_GRAVITY_STRENGTH=.4,r.DEFAULT_COMPOUND_GRAVITY_STRENGTH=1,r.DEFAULT_GRAVITY_RANGE_FACTOR=3.8,r.DEFAULT_COMPOUND_GRAVITY_RANGE_FACTOR=1.5,r.DEFAULT_USE_SMART_IDEAL_EDGE_LENGTH_CALCULATION=!0,r.DEFAULT_USE_SMART_REPULSION_RANGE_CALCULATION=!0,r.DEFAULT_COOLING_FACTOR_INCREMENTAL=.3,r.COOLING_ADAPTATION_FACTOR=.33,r.ADAPTATION_LOWER_NODE_LIMIT=1e3,r.ADAPTATION_UPPER_NODE_LIMIT=5e3,r.MAX_NODE_DISPLACEMENT_INCREMENTAL=100,r.MAX_NODE_DISPLACEMENT=3*r.MAX_NODE_DISPLACEMENT_INCREMENTAL,r.MIN_REPULSION_DIST=r.DEFAULT_EDGE_LENGTH/10,r.CONVERGENCE_CHECK_PERIOD=100,r.PER_LEVEL_IDEAL_EDGE_LENGTH_FACTOR=.1,r.MIN_EDGE_LENGTH=1,r.GRID_CALCULATION_CHECK_PERIOD=10,t.exports=r},function(t,e,n){"use strict";var i=n(12);function r(){}r.calcSeparationAmount=function(t,e,n,i){if(!t.intersects(e))throw"assert failed";var r=new Array(2);this.decideDirectionsForOverlappingNodes(t,e,r),n[0]=Math.min(t.getRight(),e.getRight())-Math.max(t.x,e.x),n[1]=Math.min(t.getBottom(),e.getBottom())-Math.max(t.y,e.y),t.getX()<=e.getX()&&t.getRight()>=e.getRight()?n[0]+=Math.min(e.getX()-t.getX(),t.getRight()-e.getRight()):e.getX()<=t.getX()&&e.getRight()>=t.getRight()&&(n[0]+=Math.min(t.getX()-e.getX(),e.getRight()-t.getRight())),t.getY()<=e.getY()&&t.getBottom()>=e.getBottom()?n[1]+=Math.min(e.getY()-t.getY(),t.getBottom()-e.getBottom()):e.getY()<=t.getY()&&e.getBottom()>=t.getBottom()&&(n[1]+=Math.min(t.getY()-e.getY(),e.getBottom()-t.getBottom()));var a=Math.abs((e.getCenterY()-t.getCenterY())/(e.getCenterX()-t.getCenterX()));e.getCenterY()===t.getCenterY()&&e.getCenterX()===t.getCenterX()&&(a=1);var o=a*n[0],s=n[1]/a;n[0]<s?s=n[0]:o=n[1],n[0]=-1*r[0]*(s/2+i),n[1]=-1*r[1]*(o/2+i)},r.decideDirectionsForOverlappingNodes=function(t,e,n){t.getCenterX()<e.getCenterX()?n[0]=-1:n[0]=1,t.getCenterY()<e.getCenterY()?n[1]=-1:n[1]=1},r.getIntersection2=function(t,e,n){var i=t.getCenterX(),r=t.getCenterY(),a=e.getCenterX(),o=e.getCenterY();if(t.intersects(e))return n[0]=i,n[1]=r,n[2]=a,n[3]=o,!0;var s=t.getX(),c=t.getY(),u=t.getRight(),l=t.getX(),h=t.getBottom(),f=t.getRight(),d=t.getWidthHalf(),g=t.getHeightHalf(),p=e.getX(),b=e.getY(),w=e.getRight(),y=e.getX(),m=e.getBottom(),v=e.getRight(),x=e.getWidthHalf(),k=e.getHeightHalf(),_=!1,E=!1;if(i===a){if(r>o)return n[0]=i,n[1]=c,n[2]=a,n[3]=m,!1;if(r<o)return n[0]=i,n[1]=h,n[2]=a,n[3]=b,!1}else if(r===o){if(i>a)return n[0]=s,n[1]=r,n[2]=w,n[3]=o,!1;if(i<a)return n[0]=u,n[1]=r,n[2]=p,n[3]=o,!1}else{var T=t.height/t.width,C=e.height/e.width,S=(o-r)/(a-i),A=void 0,M=void 0,I=void 0,L=void 0,D=void 0,O=void 0;if(-T===S?i>a?(n[0]=l,n[1]=h,_=!0):(n[0]=u,n[1]=c,_=!0):T===S&&(i>a?(n[0]=s,n[1]=c,_=!0):(n[0]=f,n[1]=h,_=!0)),-C===S?a>i?(n[2]=y,n[3]=m,E=!0):(n[2]=w,n[3]=b,E=!0):C===S&&(a>i?(n[2]=p,n[3]=b,E=!0):(n[2]=v,n[3]=m,E=!0)),_&&E)return!1;if(i>a?r>o?(A=this.getCardinalDirection(T,S,4),M=this.getCardinalDirection(C,S,2)):(A=this.getCardinalDirection(-T,S,3),M=this.getCardinalDirection(-C,S,1)):r>o?(A=this.getCardinalDirection(-T,S,1),M=this.getCardinalDirection(-C,S,3)):(A=this.getCardinalDirection(T,S,2),M=this.getCardinalDirection(C,S,4)),!_)switch(A){case 1:L=c,I=i+-g/S,n[0]=I,n[1]=L;break;case 2:I=f,L=r+d*S,n[0]=I,n[1]=L;break;case 3:L=h,I=i+g/S,n[0]=I,n[1]=L;break;case 4:I=l,L=r+-d*S,n[0]=I,n[1]=L}if(!E)switch(M){case 1:O=b,D=a+-k/S,n[2]=D,n[3]=O;break;case 2:D=v,O=o+x*S,n[2]=D,n[3]=O;break;case 3:O=m,D=a+k/S,n[2]=D,n[3]=O;break;case 4:D=y,O=o+-x*S,n[2]=D,n[3]=O}}return!1},r.getCardinalDirection=function(t,e,n){return t>e?n:1+n%4},r.getIntersection=function(t,e,n,r){if(null==r)return this.getIntersection2(t,e,n);var a,o,s,c,u,l,h,f=t.x,d=t.y,g=e.x,p=e.y,b=n.x,w=n.y,y=r.x,m=r.y;return 0==(h=(a=p-d)*(c=b-y)-(o=m-w)*(s=f-g))?null:new i((s*(l=y*w-b*m)-c*(u=g*d-f*p))/h,(o*u-a*l)/h)},r.angleOfVector=function(t,e,n,i){var r=void 0;return t!==n?(r=Math.atan((i-e)/(n-t)),n<t?r+=Math.PI:i<e&&(r+=this.TWO_PI)):r=i<e?this.ONE_AND_HALF_PI:this.HALF_PI,r},r.doIntersect=function(t,e,n,i){var r=t.x,a=t.y,o=e.x,s=e.y,c=n.x,u=n.y,l=i.x,h=i.y,f=(o-r)*(h-u)-(l-c)*(s-a);if(0===f)return!1;var d=((h-u)*(l-r)+(c-l)*(h-a))/f,g=((a-s)*(l-r)+(o-r)*(h-a))/f;return 0<d&&d<1&&0<g&&g<1},r.HALF_PI=.5*Math.PI,r.ONE_AND_HALF_PI=1.5*Math.PI,r.TWO_PI=2*Math.PI,r.THREE_PI=3*Math.PI,t.exports=r},function(t,e,n){"use strict";function i(){}i.sign=function(t){return t>0?1:t<0?-1:0},i.floor=function(t){return t<0?Math.ceil(t):Math.floor(t)},i.ceil=function(t){return t<0?Math.floor(t):Math.ceil(t)},t.exports=i},function(t,e,n){"use strict";function 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t=this.getAllNodes().length;this.incremental?(t>r.ADAPTATION_LOWER_NODE_LIMIT&&(this.coolingFactor=Math.max(this.coolingFactor*r.COOLING_ADAPTATION_FACTOR,this.coolingFactor-(t-r.ADAPTATION_LOWER_NODE_LIMIT)/(r.ADAPTATION_UPPER_NODE_LIMIT-r.ADAPTATION_LOWER_NODE_LIMIT)*this.coolingFactor*(1-r.COOLING_ADAPTATION_FACTOR))),this.maxNodeDisplacement=r.MAX_NODE_DISPLACEMENT_INCREMENTAL):(t>r.ADAPTATION_LOWER_NODE_LIMIT?this.coolingFactor=Math.max(r.COOLING_ADAPTATION_FACTOR,1-(t-r.ADAPTATION_LOWER_NODE_LIMIT)/(r.ADAPTATION_UPPER_NODE_LIMIT-r.ADAPTATION_LOWER_NODE_LIMIT)*(1-r.COOLING_ADAPTATION_FACTOR)):this.coolingFactor=1,this.initialCoolingFactor=this.coolingFactor,this.maxNodeDisplacement=r.MAX_NODE_DISPLACEMENT),this.maxIterations=Math.max(5*this.getAllNodes().length,this.maxIterations),this.totalDisplacementThreshold=this.displacementThresholdPerNode*this.getAllNodes().length,this.repulsionRange=this.calcRepulsionRange()},c.prototype.calcSpringForces=function(){for(var t,e=this.getAllEdges(),n=0;n<e.length;n++)t=e[n],this.calcSpringForce(t,t.idealLength)},c.prototype.calcRepulsionForces=function(){var t,e,n,i,a,o=!(arguments.length>0&&void 0!==arguments[0])||arguments[0],s=arguments.length>1&&void 0!==arguments[1]&&arguments[1],c=this.getAllNodes();if(this.useFRGridVariant)for(this.totalIterations%r.GRID_CALCULATION_CHECK_PERIOD==1&&o&&this.updateGrid(),a=new Set,t=0;t<c.length;t++)n=c[t],this.calculateRepulsionForceOfANode(n,a,o,s),a.add(n);else for(t=0;t<c.length;t++)for(n=c[t],e=t+1;e<c.length;e++)i=c[e],n.getOwner()==i.getOwner()&&this.calcRepulsionForce(n,i)},c.prototype.calcGravitationalForces=function(){for(var t,e=this.getAllNodesToApplyGravitation(),n=0;n<e.length;n++)t=e[n],this.calcGravitationalForce(t)},c.prototype.moveNodes=function(){for(var t=this.getAllNodes(),e=0;e<t.length;e++)t[e].move()},c.prototype.calcSpringForce=function(t,e){var n,i,r,a,o=t.getSource(),s=t.getTarget();if(this.uniformLeafNodeSizes&&null==o.getChild()&&null==s.getChild())t.updateLengthSimple();else if(t.updateLength(),t.isOverlapingSourceAndTarget)return;0!=(n=t.getLength())&&(r=(i=this.springConstant*(n-e))*(t.lengthX/n),a=i*(t.lengthY/n),o.springForceX+=r,o.springForceY+=a,s.springForceX-=r,s.springForceY-=a)},c.prototype.calcRepulsionForce=function(t,e){var n,i,a,c,u,l,h,f=t.getRect(),d=e.getRect(),g=new Array(2),p=new Array(4);if(f.intersects(d)){o.calcSeparationAmount(f,d,g,r.DEFAULT_EDGE_LENGTH/2),l=2*g[0],h=2*g[1];var b=t.noOfChildren*e.noOfChildren/(t.noOfChildren+e.noOfChildren);t.repulsionForceX-=b*l,t.repulsionForceY-=b*h,e.repulsionForceX+=b*l,e.repulsionForceY+=b*h}else this.uniformLeafNodeSizes&&null==t.getChild()&&null==e.getChild()?(n=d.getCenterX()-f.getCenterX(),i=d.getCenterY()-f.getCenterY()):(o.getIntersection(f,d,p),n=p[2]-p[0],i=p[3]-p[1]),Math.abs(n)<r.MIN_REPULSION_DIST&&(n=s.sign(n)*r.MIN_REPULSION_DIST),Math.abs(i)<r.MIN_REPULSION_DIST&&(i=s.sign(i)*r.MIN_REPULSION_DIST),a=n*n+i*i,c=Math.sqrt(a),l=(u=this.repulsionConstant*t.noOfChildren*e.noOfChildren/a)*n/c,h=u*i/c,t.repulsionForceX-=l,t.repulsionForceY-=h,e.repulsionForceX+=l,e.repulsionForceY+=h},c.prototype.calcGravitationalForce=function(t){var e,n,i,r,a,o,s,c;n=((e=t.getOwner()).getRight()+e.getLeft())/2,i=(e.getTop()+e.getBottom())/2,r=t.getCenterX()-n,a=t.getCenterY()-i,o=Math.abs(r)+t.getWidth()/2,s=Math.abs(a)+t.getHeight()/2,t.getOwner()==this.graphManager.getRoot()?(o>(c=e.getEstimatedSize()*this.gravityRangeFactor)||s>c)&&(t.gravitationForceX=-this.gravityConstant*r,t.gravitationForceY=-this.gravityConstant*a):(o>(c=e.getEstimatedSize()*this.compoundGravityRangeFactor)||s>c)&&(t.gravitationForceX=-this.gravityConstant*r*this.compoundGravityConstant,t.gravitationForceY=-this.gravityConstant*a*this.compoundGravityConstant)},c.prototype.isConverged=function(){var t,e=!1;return this.totalIterations>this.maxIterations/3&&(e=Math.abs(this.totalDisplacement-this.oldTotalDisplacement)<2),t=this.totalDisplacement<this.totalDisplacementThreshold,this.oldTotalDisplacement=this.totalDisplacement,t||e},c.prototype.animate=function(){this.animationDuringLayout&&!this.isSubLayout&&(this.notAnimatedIterations==this.animationPeriod?(this.update(),this.notAnimatedIterations=0):this.notAnimatedIterations++)},c.prototype.calcNoOfChildrenForAllNodes=function(){for(var t,e=this.graphManager.getAllNodes(),n=0;n<e.length;n++)(t=e[n]).noOfChildren=t.getNoOfChildren()},c.prototype.calcGrid=function(t){var e,n;e=parseInt(Math.ceil((t.getRight()-t.getLeft())/this.repulsionRange)),n=parseInt(Math.ceil((t.getBottom()-t.getTop())/this.repulsionRange));for(var i=new Array(e),r=0;r<e;r++)i[r]=new Array(n);for(r=0;r<e;r++)for(var a=0;a<n;a++)i[r][a]=new Array;return i},c.prototype.addNodeToGrid=function(t,e,n){var i,r,a,o;i=parseInt(Math.floor((t.getRect().x-e)/this.repulsionRange)),r=parseInt(Math.floor((t.getRect().width+t.getRect().x-e)/this.repulsionRange)),a=parseInt(Math.floor((t.getRect().y-n)/this.repulsionRange)),o=parseInt(Math.floor((t.getRect().height+t.getRect().y-n)/this.repulsionRange));for(var s=i;s<=r;s++)for(var c=a;c<=o;c++)this.grid[s][c].push(t),t.setGridCoordinates(i,r,a,o)},c.prototype.updateGrid=function(){var t,e,n=this.getAllNodes();for(this.grid=this.calcGrid(this.graphManager.getRoot()),t=0;t<n.length;t++)e=n[t],this.addNodeToGrid(e,this.graphManager.getRoot().getLeft(),this.graphManager.getRoot().getTop())},c.prototype.calculateRepulsionForceOfANode=function(t,e,n,i){if(this.totalIterations%r.GRID_CALCULATION_CHECK_PERIOD==1&&n||i){var a,o=new Set;t.surrounding=new Array;for(var s=this.grid,c=t.startX-1;c<t.finishX+2;c++)for(var u=t.startY-1;u<t.finishY+2;u++)if(!(c<0||u<0||c>=s.length||u>=s[0].length))for(var l=0;l<s[c][u].length;l++)if(a=s[c][u][l],t.getOwner()==a.getOwner()&&t!=a&&!e.has(a)&&!o.has(a)){var h=Math.abs(t.getCenterX()-a.getCenterX())-(t.getWidth()/2+a.getWidth()/2),f=Math.abs(t.getCenterY()-a.getCenterY())-(t.getHeight()/2+a.getHeight()/2);h<=this.repulsionRange&&f<=this.repulsionRange&&o.add(a)}t.surrounding=[].concat(function(t){if(Array.isArray(t)){for(var e=0,n=Array(t.length);e<t.length;e++)n[e]=t[e];return n}return Array.from(t)}(o))}for(c=0;c<t.surrounding.length;c++)this.calcRepulsionForce(t,t.surrounding[c])},c.prototype.calcRepulsionRange=function(){return 0},t.exports=c},function(t,e,n){"use strict";var i=n(1),r=n(7);function a(t,e,n){i.call(this,t,e,n),this.idealLength=r.DEFAULT_EDGE_LENGTH}for(var o in a.prototype=Object.create(i.prototype),i)a[o]=i[o];t.exports=a},function(t,e,n){"use strict";var i=n(3);function r(t,e,n,r){i.call(this,t,e,n,r),this.springForceX=0,this.springForceY=0,this.repulsionForceX=0,this.repulsionForceY=0,this.gravitationForceX=0,this.gravitationForceY=0,this.displacementX=0,this.displacementY=0,this.startX=0,this.finishX=0,this.startY=0,this.finishY=0,this.surrounding=[]}for(var a in r.prototype=Object.create(i.prototype),i)r[a]=i[a];r.prototype.setGridCoordinates=function(t,e,n,i){this.startX=t,this.finishX=e,this.startY=n,this.finishY=i},t.exports=r},function(t,e,n){"use strict";function i(t,e){this.width=0,this.height=0,null!==t&&null!==e&&(this.height=e,this.width=t)}i.prototype.getWidth=function(){return this.width},i.prototype.setWidth=function(t){this.width=t},i.prototype.getHeight=function(){return this.height},i.prototype.setHeight=function(t){this.height=t},t.exports=i},function(t,e,n){"use strict";var i=n(14);function r(){this.map={},this.keys=[]}r.prototype.put=function(t,e){var 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instanceof r?t.get_object_at(e):t[e]}},{key:"_set",value:function(t,e,n){t instanceof r?t.set_object_at(e,n):t[e]=n}},{key:"_swap",value:function(t,e,n){var i=this._get(t,e);this._set(t,e,this._get(t,n)),this._set(t,n,i)}},{key:"_defaultCompareFunction",value:function(t,e){return e>t}}]),t}();t.exports=a},function(t,e,n){"use strict";var i=function(){function t(t,e){for(var n=0;n<e.length;n++){var i=e[n];i.enumerable=i.enumerable||!1,i.configurable=!0,"value"in i&&(i.writable=!0),Object.defineProperty(t,i.key,i)}}return function(e,n,i){return n&&t(e.prototype,n),i&&t(e,i),e}}();function r(t,e){if(!(t instanceof e))throw new TypeError("Cannot call a class as a function")}var a=function(){function t(e,n){var i=arguments.length>2&&void 0!==arguments[2]?arguments[2]:1,a=arguments.length>3&&void 0!==arguments[3]?arguments[3]:-1,o=arguments.length>4&&void 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83:this.$=""}},table:[{3:1,4:2,5:3,6:4,7:e,8:n,9:i,10:r,11:5,12:10,18:a,22:o,25:s,26:u,27:l,28:h},{1:[3]},{1:[2,1]},{1:[2,2]},{3:17,4:2,5:3,6:4,7:e,8:n,9:i,10:r,11:5,12:10,18:a,22:o,25:s,26:u,27:l,28:h},{1:[2,8]},{1:[2,4]},{1:[2,5]},{1:[2,6]},{1:[2,7]},{13:18,19:[1,19]},{15:[1,20]},{15:[1,21]},{15:[1,22]},{15:[1,23]},{15:[1,24]},{19:[2,11]},{1:[2,3]},{14:25,16:[1,26],21:f},t([16,21],[2,12]),{23:28,29:29,30:30,31:31,32:d,33:g,34:p,36:b,38:w,39:58,40:70,42:71,44:y,46:m,47:v,48:x,49:k,50:_,51:E,53:32,54:T,55:C,56:S,57:A,58:M,59:I,60:L,61:D,62:O,63:N,64:P,65:B,66:F,67:R,68:$,69:j,70:z,71:q,72:H,73:Z,74:U,75:Y,76:G,77:K,78:W,79:X,80:V,81:Q,82:J,83:tt,84:et},{23:79,29:29,30:30,31:31,32:d,33:g,34:p,36:b,38:w,39:58,40:70,42:71,44:y,46:m,47:v,48:x,49:k,50:_,51:E,53:32,54:T,55:C,56:S,57:A,58:M,59:I,60:L,61:D,62:O,63:N,64:P,65:B,66:F,67:R,68:$,69:j,70:z,71:q,72:H,73:Z,74:U,75:Y,76:G,77:K,78:W,79:X,80:V,81:Q,82:J,83:tt,84:et},{23:80,29:29,30:30,31:31,32:d,33:g,34:p,36:b,38:w,39:58,40:70,42:71,44:y,46:m,47:v,48:x,49:k,50:_,51:E,53:32,54:T,55:C,56:S,57:A,58:M,59:I,60:L,61:D,62:O,63:N,64:P,65:B,66:F,67:R,68:$,69:j,70:z,71:q,72:H,73:Z,74:U,75:Y,76:G,77:K,78:W,79:X,80:V,81:Q,82:J,83:tt,84:et},{23:81,29:29,30:30,31:31,32:d,33:g,34:p,36:b,38:w,39:58,40:70,42:71,44:y,46:m,47:v,48:x,49:k,50:_,51:E,53:32,54:T,55:C,56:S,57:A,58:M,59:I,60:L,61:D,62:O,63:N,64:P,65:B,66:F,67:R,68:$,69:j,70:z,71:q,72:H,73:Z,74:U,75:Y,76:G,77:K,78:W,79:X,80:V,81:Q,82:J,83:tt,84:et},{23:82,29:29,30:30,31:31,32:d,33:g,34:p,36:b,38:w,39:58,40:70,42:71,44:y,46:m,47:v,48:x,49:k,50:_,51:E,53:32,54:T,55:C,56:S,57:A,58:M,59:I,60:L,61:D,62:O,63:N,64:P,65:B,66:F,67:R,68:$,69:j,70:z,71:q,72:H,73:Z,74:U,75:Y,76:G,77:K,78:W,79:X,80:V,81:Q,82:J,83:tt,84:et},{15:[1,83]},{17:84,20:[1,85]},{15:[2,14]},{24:[1,86]},t(nt,[2,20],{53:32,39:58,40:70,42:71,30:87,44:y,46:m,47:v,48:x,49:k,50:_,51:E,54:T,55:C,56:S,57:A,58:M,59:I,60:L,61:D,62:O,63:N,64:P,65:B,66:F,67:R,68:$,69:j,70:z,71:q,72:H,73:Z,74:U,75:Y,76:G,77:K,78:W,79:X,80:V,81:Q,82:J,83:tt,84:et}),t(nt,[2,21]),t(it,[2,23],{15:[1,88]}),t(nt,[2,43],{15:[1,89]}),t(rt,[2,26]),t(rt,[2,27]),{35:[1,90]},{37:[1,91]},t(rt,[2,30]),{45:92,85:93,86:at,87:ot,89:st,90:ct},{45:98,85:93,86:at,87:ot,89:st,90:ct},{45:99,85:93,86:at,87:ot,89:st,90:ct},{45:100,85:93,86:at,87:ot,89:st,90:ct},{45:101,85:93,86:at,87:ot,89:st,90:ct},{45:102,85:93,86:at,87:ot,89:st,90:ct},{45:103,85:93,86:at,87:ot,89:st,90:ct},{45:104,85:93,86:at,87:ot,89:st,90:ct},{45:105,85:93,86:at,87:ot,89:st,90:ct},{45:106,85:93,86:at,87:ot,89:st,90:ct},{45:107,85:93,86:at,87:ot,89:st,90:ct},{45:108,85:93,86:at,87:ot,89:st,90:ct},{45:109,85:93,86:at,87:ot,89:st,90:ct},{45:110,85:93,86:at,87:ot,89:st,90:ct},{45:111,85:93,86:at,87:ot,89:st,90:ct},{45:112,85:93,86:at,87:ot,89:st,90:ct},{45:113,85:93,86:at,87:ot,89:st,90:ct},{45:114,85:93,86:at,87:ot,89:st,90:ct},{45:115,85:93,86:at,87:ot,89:st,90:ct},{45:116,85:93,86:at,87:ot,89:st,90:ct},t(ut,[2,66]),{45:117,85:93,86:at,87:ot,89:st,90:ct},{45:118,85:93,86:at,87:ot,89:st,90:ct},{45:119,85:93,86:at,87:ot,89:st,90:ct},{45:120,85:93,86:at,87:ot,89:st,90:ct},{45:121,85:93,86:at,87:ot,89:st,90:ct},{45:122,85:93,86:at,87:ot,89:st,90:ct},{45:123,85:93,86:at,87:ot,89:st,90:ct},{45:124,85:93,86:at,87:ot,89:st,90:ct},{45:125,85:93,86:at,87:ot,89:st,90:ct},{45:126,85:93,86:at,87:ot,89:st,90:ct},{45:127,85:93,86:at,87:ot,89:st,90:ct},{30:128,39:58,40:70,42:71,44:y,46:m,47:v,48:x,49:k,50:_,51:E,53:32,54:T,55:C,56:S,57:A,58:M,59:I,60:L,61:D,62:O,63:N,64:P,65:B,66:F,67:R,68:$,69:j,70:z,71:q,72:H,73:Z,74:U,75:Y,76:G,77:K,78:W,79:X,80:V,81:Q,82:J,83:tt,84:et},{15:[1,130],43:[1,129]},{45:131,85:93,86:at,87:ot,89:st,90:ct},{45:132,85:93,86:at,87:ot,89:st,90:ct},{45:133,85:93,86:at,87:ot,89:st,90:ct},{45:134,85:93,86:at,87:ot,89:st,90:ct},{45:135,85:93,86:at,87:ot,89:st,90:ct},{45:136,85:93,86:at,87:ot,89:st,90:ct},{45:137,85:93,86:at,87:ot,89:st,90:ct},{24:[1,138]},{24:[1,139]},{24:[1,140]},{24:[1,141]},t(lt,[2,9]),{14:142,21:f},{21:[2,13]},{1:[2,15]},t(nt,[2,22]),t(it,[2,24],{31:31,29:143,32:d,33:g,34:p,36:b,38:w}),t(nt,[2,44],{29:29,30:30,31:31,53:32,39:58,40:70,42:71,23:144,32:d,33:g,34:p,36:b,38:w,44:y,46:m,47:v,48:x,49:k,50:_,51:E,54:T,55:C,56:S,57:A,58:M,59:I,60:L,61:D,62:O,63:N,64:P,65:B,66:F,67:R,68:$,69:j,70:z,71:q,72:H,73:Z,74:U,75:Y,76:G,77:K,78:W,79:X,80:V,81:Q,82:J,83:tt,84:et}),t(rt,[2,28]),t(rt,[2,29]),t(ut,[2,46]),t(ht,[2,78],{85:93,45:145,86:at,87:ot,89:st,90:ct}),t(ft,[2,80]),{88:[1,146]},t(ft,[2,82]),t(ft,[2,83]),t(ut,[2,47]),t(ut,[2,48]),t(ut,[2,49]),t(ut,[2,50]),t(ut,[2,51]),t(ut,[2,52]),t(ut,[2,53]),t(ut,[2,54]),t(ut,[2,55]),t(ut,[2,56]),t(ut,[2,57]),t(ut,[2,58]),t(ut,[2,59]),t(ut,[2,60]),t(ut,[2,61]),t(ut,[2,62]),t(ut,[2,63]),t(ut,[2,64]),t(ut,[2,65]),t(ut,[2,67]),t(ut,[2,68]),t(ut,[2,69]),t(ut,[2,70]),t(ut,[2,71]),t(ut,[2,72]),t(ut,[2,73]),t(ut,[2,74]),t(ut,[2,75]),t(ut,[2,76]),t(ut,[2,77]),{41:147,52:[1,148]},{15:[1,149]},{43:[1,150]},t(dt,[2,35]),t(dt,[2,36]),t(dt,[2,37]),t(dt,[2,38]),t(dt,[2,39]),t(dt,[2,40]),t(dt,[2,41]),{1:[2,16]},{1:[2,17]},{1:[2,18]},{1:[2,19]},{15:[1,151]},t(it,[2,25]),t(nt,[2,45]),t(ht,[2,79]),t(ft,[2,81]),t(ut,[2,31]),t(ut,[2,42]),t(gt,[2,32]),t(gt,[2,33],{15:[1,152]}),t(lt,[2,10]),t(gt,[2,34])],defaultActions:{2:[2,1],3:[2,2],5:[2,8],6:[2,4],7:[2,5],8:[2,6],9:[2,7],16:[2,11],17:[2,3],27:[2,14],85:[2,13],86:[2,15],138:[2,16],139:[2,17],140:[2,18],141:[2,19]},parseError:function(t,e){if(!e.recoverable){var n=new Error(t);throw n.hash=e,n}this.trace(t)},parse:function(t){var e=this,n=[0],i=[],r=[null],a=[],o=this.table,s="",c=0,u=0,l=2,h=1,f=a.slice.call(arguments,1),d=Object.create(this.lexer),g={yy:{}};for(var p in this.yy)Object.prototype.hasOwnProperty.call(this.yy,p)&&(g.yy[p]=this.yy[p]);d.setInput(t,g.yy),g.yy.lexer=d,g.yy.parser=this,void 0===d.yylloc&&(d.yylloc={});var b=d.yylloc;a.push(b);var w=d.options&&d.options.ranges;function y(){var t;return"number"!=typeof(t=i.pop()||d.lex()||h)&&(t instanceof Array&&(t=(i=t).pop()),t=e.symbols_[t]||t),t}"function"==typeof g.yy.parseError?this.parseError=g.yy.parseError:this.parseError=Object.getPrototypeOf(this).parseError;for(var m,v,x,k,_,E,T,C,S={};;){if(v=n[n.length-1],this.defaultActions[v]?x=this.defaultActions[v]:(null==m&&(m=y()),x=o[v]&&o[v][m]),void 0===x||!x.length||!x[0]){var A="";for(_ in C=[],o[v])this.terminals_[_]&&_>l&&C.push("'"+this.terminals_[_]+"'");A=d.showPosition?"Parse error on line "+(c+1)+":\n"+d.showPosition()+"\nExpecting "+C.join(", ")+", got '"+(this.terminals_[m]||m)+"'":"Parse error on line "+(c+1)+": Unexpected "+(m==h?"end of input":"'"+(this.terminals_[m]||m)+"'"),this.parseError(A,{text:d.match,token:this.terminals_[m]||m,line:d.yylineno,loc:b,expected:C})}if(x[0]instanceof Array&&x.length>1)throw new Error("Parse Error: multiple actions possible at state: "+v+", token: "+m);switch(x[0]){case 1:n.push(m),r.push(d.yytext),a.push(d.yylloc),n.push(x[1]),m=null,u=d.yyleng,s=d.yytext,c=d.yylineno,b=d.yylloc;break;case 2:if(E=this.productions_[x[1]][1],S.$=r[r.length-E],S._$={first_line:a[a.length-(E||1)].first_line,last_line:a[a.length-1].last_line,first_column:a[a.length-(E||1)].first_column,last_column:a[a.length-1].last_column},w&&(S._$.range=[a[a.length-(E||1)].range[0],a[a.length-1].range[1]]),void 0!==(k=this.performAction.apply(S,[s,u,c,g.yy,x[1],r,a].concat(f))))return k;E&&(n=n.slice(0,-1*E*2),r=r.slice(0,-1*E),a=a.slice(0,-1*E)),n.push(this.productions_[x[1]][0]),r.push(S.$),a.push(S._$),T=o[n[n.length-2]][n[n.length-1]],n.push(T);break;case 3:return!0}}return!0}},bt={EOF:1,parseError:function(t,e){if(!this.yy.parser)throw new Error(t);this.yy.parser.parseError(t,e)},setInput:function(t,e){return this.yy=e||this.yy||{},this._input=t,this._more=this._backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match="",this.conditionStack=["INITIAL"],this.yylloc={first_line:1,first_column:0,last_line:1,last_column:0},this.options.ranges&&(this.yylloc.range=[0,0]),this.offset=0,this},input:function(){var t=this._input[0];return this.yytext+=t,this.yyleng++,this.offset++,this.match+=t,this.matched+=t,t.match(/(?:\r\n?|\n).*/g)?(this.yylineno++,this.yylloc.last_line++):this.yylloc.last_column++,this.options.ranges&&this.yylloc.range[1]++,this._input=this._input.slice(1),t},unput:function(t){var e=t.length,n=t.split(/(?:\r\n?|\n)/g);this._input=t+this._input,this.yytext=this.yytext.substr(0,this.yytext.length-e),this.offset-=e;var i=this.match.split(/(?:\r\n?|\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),n.length-1&&(this.yylineno-=n.length-1);var r=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:n?(n.length===i.length?this.yylloc.first_column:0)+i[i.length-n.length].length-n[0].length:this.yylloc.first_column-e},this.options.ranges&&(this.yylloc.range=[r[0],r[0]+this.yyleng-e]),this.yyleng=this.yytext.length,this},more:function(){return this._more=!0,this},reject:function(){return this.options.backtrack_lexer?(this._backtrack=!0,this):this.parseError("Lexical error on line "+(this.yylineno+1)+". You can only invoke reject() in the lexer when the lexer is of the backtracking persuasion (options.backtrack_lexer = true).\n"+this.showPosition(),{text:"",token:null,line:this.yylineno})},less:function(t){this.unput(this.match.slice(t))},pastInput:function(){var t=this.matched.substr(0,this.matched.length-this.match.length);return(t.length>20?"...":"")+t.substr(-20).replace(/\n/g,"")},upcomingInput:function(){var t=this.match;return t.length<20&&(t+=this._input.substr(0,20-t.length)),(t.substr(0,20)+(t.length>20?"...":"")).replace(/\n/g,"")},showPosition:function(){var t=this.pastInput(),e=new Array(t.length+1).join("-");return t+this.upcomingInput()+"\n"+e+"^"},test_match:function(t,e){var n,i,r;if(this.options.backtrack_lexer&&(r={yylineno:this.yylineno,yylloc:{first_line:this.yylloc.first_line,last_line:this.last_line,first_column:this.yylloc.first_column,last_column:this.yylloc.last_column},yytext:this.yytext,match:this.match,matches:this.matches,matched:this.matched,yyleng:this.yyleng,offset:this.offset,_more:this._more,_input:this._input,yy:this.yy,conditionStack:this.conditionStack.slice(0),done:this.done},this.options.ranges&&(r.yylloc.range=this.yylloc.range.slice(0))),(i=t[0].match(/(?:\r\n?|\n).*/g))&&(this.yylineno+=i.length),this.yylloc={first_line:this.yylloc.last_line,last_line:this.yylineno+1,first_column:this.yylloc.last_column,last_column:i?i[i.length-1].length-i[i.length-1].match(/\r?\n?/)[0].length:this.yylloc.last_column+t[0].length},this.yytext+=t[0],this.match+=t[0],this.matches=t,this.yyleng=this.yytext.length,this.options.ranges&&(this.yylloc.range=[this.offset,this.offset+=this.yyleng]),this._more=!1,this._backtrack=!1,this._input=this._input.slice(t[0].length),this.matched+=t[0],n=this.performAction.call(this,this.yy,this,e,this.conditionStack[this.conditionStack.length-1]),this.done&&this._input&&(this.done=!1),n)return n;if(this._backtrack){for(var a in r)this[a]=r[a];return!1}return!1},next:function(){if(this.done)return this.EOF;var t,e,n,i;this._input||(this.done=!0),this._more||(this.yytext="",this.match="");for(var r=this._currentRules(),a=0;a<r.length;a++)if((n=this._input.match(this.rules[r[a]]))&&(!e||n[0].length>e[0].length)){if(e=n,i=a,this.options.backtrack_lexer){if(!1!==(t=this.test_match(n,r[a])))return t;if(this._backtrack){e=!1;continue}return!1}if(!this.options.flex)break}return e?!1!==(t=this.test_match(e,r[i]))&&t:""===this._input?this.EOF:this.parseError("Lexical error on line "+(this.yylineno+1)+". Unrecognized text.\n"+this.showPosition(),{text:"",token:null,line:this.yylineno})},lex:function(){var t=this.next();return t||this.lex()},begin:function(t){this.conditionStack.push(t)},popState:function(){return this.conditionStack.length-1>0?this.conditionStack.pop():this.conditionStack[0]},_currentRules:function(){return this.conditionStack.length&&this.conditionStack[this.conditionStack.length-1]?this.conditions[this.conditionStack[this.conditionStack.length-1]].rules:this.conditions.INITIAL.rules},topState:function(t){return(t=this.conditionStack.length-1-Math.abs(t||0))>=0?this.conditionStack[t]:"INITIAL"},pushState:function(t){this.begin(t)},stateStackSize:function(){return this.conditionStack.length},options:{},performAction:function(t,e,n,i){switch(n){case 0:return this.begin("open_directive"),18;case 1:return 7;case 2:return 8;case 3:return 9;case 4:return 10;case 5:return this.begin("type_directive"),19;case 6:return this.popState(),this.begin("arg_directive"),16;case 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n},e=[1,2],n=[1,5],i=[6,9,11,23,25,27,29,30,31,52],r=[1,17],a=[1,18],o=[1,19],s=[1,20],c=[1,21],u=[1,22],l=[1,25],h=[1,30],f=[1,31],d=[1,32],g=[1,33],p=[1,34],b=[6,9,11,15,20,23,25,27,29,30,31,44,45,46,47,48,52],w=[1,46],y=[30,31,49,50],m=[4,6,9,11,23,25,27,29,30,31,52],v=[44,45,46,47,48],x=[22,37],k=[1,66],_=[1,65],E=[22,37,39,41],T={trace:function(){},yy:{},symbols_:{error:2,start:3,ER_DIAGRAM:4,document:5,EOF:6,directive:7,line:8,SPACE:9,statement:10,NEWLINE:11,openDirective:12,typeDirective:13,closeDirective:14,":":15,argDirective:16,entityName:17,relSpec:18,role:19,BLOCK_START:20,attributes:21,BLOCK_STOP:22,title:23,title_value:24,acc_title:25,acc_title_value:26,acc_descr:27,acc_descr_value:28,acc_descr_multiline_value:29,ALPHANUM:30,ENTITY_NAME:31,attribute:32,attributeType:33,attributeName:34,attributeKeyTypeList:35,attributeComment:36,ATTRIBUTE_WORD:37,attributeKeyType:38,COMMA:39,ATTRIBUTE_KEY:40,COMMENT:41,cardinality:42,relType:43,ZERO_OR_ONE:44,ZERO_OR_MORE:45,ONE_OR_MORE:46,ONLY_ONE:47,MD_PARENT:48,NON_IDENTIFYING:49,IDENTIFYING:50,WORD:51,open_directive:52,type_directive:53,arg_directive:54,close_directive:55,$accept:0,$end:1},terminals_:{2:"error",4:"ER_DIAGRAM",6:"EOF",9:"SPACE",11:"NEWLINE",15:":",20:"BLOCK_START",22:"BLOCK_STOP",23:"title",24:"title_value",25:"acc_title",26:"acc_title_value",27:"acc_descr",28:"acc_descr_value",29:"acc_descr_multiline_value",30:"ALPHANUM",31:"ENTITY_NAME",37:"ATTRIBUTE_WORD",39:"COMMA",40:"ATTRIBUTE_KEY",41:"COMMENT",44:"ZERO_OR_ONE",45:"ZERO_OR_MORE",46:"ONE_OR_MORE",47:"ONLY_ONE",48:"MD_PARENT",49:"NON_IDENTIFYING",50:"IDENTIFYING",51:"WORD",52:"open_directive",53:"type_directive",54:"arg_directive",55:"close_directive"},productions_:[0,[3,3],[3,2],[5,0],[5,2],[8,2],[8,1],[8,1],[8,1],[7,4],[7,6],[10,1],[10,5],[10,4],[10,3],[10,1],[10,2],[10,2],[10,2],[10,1],[17,1],[17,1],[21,1],[21,2],[32,2],[32,3],[32,3],[32,4],[33,1],[34,1],[35,1],[35,3],[38,1],[36,1],[18,3],[42,1],[42,1],[42,1],[42,1],[42,1],[43,1],[43,1],[19,1],[19,1],[19,1],[12,1],[13,1],[16,1],[14,1]],performAction:function(t,e,n,i,r,a,o){var s=a.length-1;switch(r){case 1:break;case 3:case 7:case 8:this.$=[];break;case 4:a[s-1].push(a[s]),this.$=a[s-1];break;case 5:case 6:case 20:case 44:case 28:case 29:case 32:this.$=a[s];break;case 12:i.addEntity(a[s-4]),i.addEntity(a[s-2]),i.addRelationship(a[s-4],a[s],a[s-2],a[s-3]);break;case 13:i.addEntity(a[s-3]),i.addAttributes(a[s-3],a[s-1]);break;case 14:i.addEntity(a[s-2]);break;case 15:i.addEntity(a[s]);break;case 16:case 17:this.$=a[s].trim(),i.setAccTitle(this.$);break;case 18:case 19:this.$=a[s].trim(),i.setAccDescription(this.$);break;case 21:case 42:case 43:case 33:this.$=a[s].replace(/"/g,"");break;case 22:case 30:this.$=[a[s]];break;case 23:a[s].push(a[s-1]),this.$=a[s];break;case 24:this.$={attributeType:a[s-1],attributeName:a[s]};break;case 25:this.$={attributeType:a[s-2],attributeName:a[s-1],attributeKeyTypeList:a[s]};break;case 26:this.$={attributeType:a[s-2],attributeName:a[s-1],attributeComment:a[s]};break;case 27:this.$={attributeType:a[s-3],attributeName:a[s-2],attributeKeyTypeList:a[s-1],attributeComment:a[s]};break;case 31:a[s-2].push(a[s]),this.$=a[s-2];break;case 34:this.$={cardA:a[s],relType:a[s-1],cardB:a[s-2]};break;case 35:this.$=i.Cardinality.ZERO_OR_ONE;break;case 36:this.$=i.Cardinality.ZERO_OR_MORE;break;case 37:this.$=i.Cardinality.ONE_OR_MORE;break;case 38:this.$=i.Cardinality.ONLY_ONE;break;case 39:this.$=i.Cardinality.MD_PARENT;break;case 40:this.$=i.Identification.NON_IDENTIFYING;break;case 41:this.$=i.Identification.IDENTIFYING;break;case 45:i.parseDirective("%%{","open_directive");break;case 46:i.parseDirective(a[s],"type_directive");break;case 47:a[s]=a[s].trim().replace(/'/g,'"'),i.parseDirective(a[s],"arg_directive");break;case 48:i.parseDirective("}%%","close_directive","er")}},table:[{3:1,4:e,7:3,12:4,52:n},{1:[3]},t(i,[2,3],{5:6}),{3:7,4:e,7:3,12:4,52:n},{13:8,53:[1,9]},{53:[2,45]},{6:[1,10],7:15,8:11,9:[1,12],10:13,11:[1,14],12:4,17:16,23:r,25:a,27:o,29:s,30:c,31:u,52:n},{1:[2,2]},{14:23,15:[1,24],55:l},t([15,55],[2,46]),t(i,[2,8],{1:[2,1]}),t(i,[2,4]),{7:15,10:26,12:4,17:16,23:r,25:a,27:o,29:s,30:c,31:u,52:n},t(i,[2,6]),t(i,[2,7]),t(i,[2,11]),t(i,[2,15],{18:27,42:29,20:[1,28],44:h,45:f,46:d,47:g,48:p}),{24:[1,35]},{26:[1,36]},{28:[1,37]},t(i,[2,19]),t(b,[2,20]),t(b,[2,21]),{11:[1,38]},{16:39,54:[1,40]},{11:[2,48]},t(i,[2,5]),{17:41,30:c,31:u},{21:42,22:[1,43],32:44,33:45,37:w},{43:47,49:[1,48],50:[1,49]},t(y,[2,35]),t(y,[2,36]),t(y,[2,37]),t(y,[2,38]),t(y,[2,39]),t(i,[2,16]),t(i,[2,17]),t(i,[2,18]),t(m,[2,9]),{14:50,55:l},{55:[2,47]},{15:[1,51]},{22:[1,52]},t(i,[2,14]),{21:53,22:[2,22],32:44,33:45,37:w},{34:54,37:[1,55]},{37:[2,28]},{42:56,44:h,45:f,46:d,47:g,48:p},t(v,[2,40]),t(v,[2,41]),{11:[1,57]},{19:58,30:[1,61],31:[1,60],51:[1,59]},t(i,[2,13]),{22:[2,23]},t(x,[2,24],{35:62,36:63,38:64,40:k,41:_}),t([22,37,40,41],[2,29]),t([30,31],[2,34]),t(m,[2,10]),t(i,[2,12]),t(i,[2,42]),t(i,[2,43]),t(i,[2,44]),t(x,[2,25],{36:67,39:[1,68],41:_}),t(x,[2,26]),t(E,[2,30]),t(x,[2,33]),t(E,[2,32]),t(x,[2,27]),{38:69,40:k},t(E,[2,31])],defaultActions:{5:[2,45],7:[2,2],25:[2,48],40:[2,47],46:[2,28],53:[2,23]},parseError:function(t,e){if(!e.recoverable){var n=new Error(t);throw n.hash=e,n}this.trace(t)},parse:function(t){var e=this,n=[0],i=[],r=[null],a=[],o=this.table,s="",c=0,u=0,l=2,h=1,f=a.slice.call(arguments,1),d=Object.create(this.lexer),g={yy:{}};for(var p in this.yy)Object.prototype.hasOwnProperty.call(this.yy,p)&&(g.yy[p]=this.yy[p]);d.setInput(t,g.yy),g.yy.lexer=d,g.yy.parser=this,void 0===d.yylloc&&(d.yylloc={});var b=d.yylloc;a.push(b);var w=d.options&&d.options.ranges;function y(){var t;return"number"!=typeof(t=i.pop()||d.lex()||h)&&(t instanceof Array&&(t=(i=t).pop()),t=e.symbols_[t]||t),t}"function"==typeof g.yy.parseError?this.parseError=g.yy.parseError:this.parseError=Object.getPrototypeOf(this).parseError;for(var m,v,x,k,_,E,T,C,S={};;){if(v=n[n.length-1],this.defaultActions[v]?x=this.defaultActions[v]:(null==m&&(m=y()),x=o[v]&&o[v][m]),void 0===x||!x.length||!x[0]){var A="";for(_ in C=[],o[v])this.terminals_[_]&&_>l&&C.push("'"+this.terminals_[_]+"'");A=d.showPosition?"Parse error on line "+(c+1)+":\n"+d.showPosition()+"\nExpecting "+C.join(", ")+", got '"+(this.terminals_[m]||m)+"'":"Parse error on line "+(c+1)+": Unexpected "+(m==h?"end of input":"'"+(this.terminals_[m]||m)+"'"),this.parseError(A,{text:d.match,token:this.terminals_[m]||m,line:d.yylineno,loc:b,expected:C})}if(x[0]instanceof Array&&x.length>1)throw new Error("Parse Error: multiple actions possible at state: "+v+", token: "+m);switch(x[0]){case 1:n.push(m),r.push(d.yytext),a.push(d.yylloc),n.push(x[1]),m=null,u=d.yyleng,s=d.yytext,c=d.yylineno,b=d.yylloc;break;case 2:if(E=this.productions_[x[1]][1],S.$=r[r.length-E],S._$={first_line:a[a.length-(E||1)].first_line,last_line:a[a.length-1].last_line,first_column:a[a.length-(E||1)].first_column,last_column:a[a.length-1].last_column},w&&(S._$.range=[a[a.length-(E||1)].range[0],a[a.length-1].range[1]]),void 0!==(k=this.performAction.apply(S,[s,u,c,g.yy,x[1],r,a].concat(f))))return k;E&&(n=n.slice(0,-1*E*2),r=r.slice(0,-1*E),a=a.slice(0,-1*E)),n.push(this.productions_[x[1]][0]),r.push(S.$),a.push(S._$),T=o[n[n.length-2]][n[n.length-1]],n.push(T);break;case 3:return!0}}return!0}},C={EOF:1,parseError:function(t,e){if(!this.yy.parser)throw new Error(t);this.yy.parser.parseError(t,e)},setInput:function(t,e){return this.yy=e||this.yy||{},this._input=t,this._more=this._backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match="",this.conditionStack=["INITIAL"],this.yylloc={first_line:1,first_column:0,last_line:1,last_column:0},this.options.ranges&&(this.yylloc.range=[0,0]),this.offset=0,this},input:function(){var t=this._input[0];return this.yytext+=t,this.yyleng++,this.offset++,this.match+=t,this.matched+=t,t.match(/(?:\r\n?|\n).*/g)?(this.yylineno++,this.yylloc.last_line++):this.yylloc.last_column++,this.options.ranges&&this.yylloc.range[1]++,this._input=this._input.slice(1),t},unput:function(t){var e=t.length,n=t.split(/(?:\r\n?|\n)/g);this._input=t+this._input,this.yytext=this.yytext.substr(0,this.yytext.length-e),this.offset-=e;var i=this.match.split(/(?:\r\n?|\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),n.length-1&&(this.yylineno-=n.length-1);var r=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:n?(n.length===i.length?this.yylloc.first_column:0)+i[i.length-n.length].length-n[0].length:this.yylloc.first_column-e},this.options.ranges&&(this.yylloc.range=[r[0],r[0]+this.yyleng-e]),this.yyleng=this.yytext.length,this},more:function(){return this._more=!0,this},reject:function(){return this.options.backtrack_lexer?(this._backtrack=!0,this):this.parseError("Lexical error on line "+(this.yylineno+1)+". You can only invoke reject() in the lexer when the lexer is of the backtracking persuasion (options.backtrack_lexer = true).\n"+this.showPosition(),{text:"",token:null,line:this.yylineno})},less:function(t){this.unput(this.match.slice(t))},pastInput:function(){var t=this.matched.substr(0,this.matched.length-this.match.length);return(t.length>20?"...":"")+t.substr(-20).replace(/\n/g,"")},upcomingInput:function(){var t=this.match;return t.length<20&&(t+=this._input.substr(0,20-t.length)),(t.substr(0,20)+(t.length>20?"...":"")).replace(/\n/g,"")},showPosition:function(){var t=this.pastInput(),e=new Array(t.length+1).join("-");return t+this.upcomingInput()+"\n"+e+"^"},test_match:function(t,e){var n,i,r;if(this.options.backtrack_lexer&&(r={yylineno:this.yylineno,yylloc:{first_line:this.yylloc.first_line,last_line:this.last_line,first_column:this.yylloc.first_column,last_column:this.yylloc.last_column},yytext:this.yytext,match:this.match,matches:this.matches,matched:this.matched,yyleng:this.yyleng,offset:this.offset,_more:this._more,_input:this._input,yy:this.yy,conditionStack:this.conditionStack.slice(0),done:this.done},this.options.ranges&&(r.yylloc.range=this.yylloc.range.slice(0))),(i=t[0].match(/(?:\r\n?|\n).*/g))&&(this.yylineno+=i.length),this.yylloc={first_line:this.yylloc.last_line,last_line:this.yylineno+1,first_column:this.yylloc.last_column,last_column:i?i[i.length-1].length-i[i.length-1].match(/\r?\n?/)[0].length:this.yylloc.last_column+t[0].length},this.yytext+=t[0],this.match+=t[0],this.matches=t,this.yyleng=this.yytext.length,this.options.ranges&&(this.yylloc.range=[this.offset,this.offset+=this.yyleng]),this._more=!1,this._backtrack=!1,this._input=this._input.slice(t[0].length),this.matched+=t[0],n=this.performAction.call(this,this.yy,this,e,this.conditionStack[this.conditionStack.length-1]),this.done&&this._input&&(this.done=!1),n)return n;if(this._backtrack){for(var a in r)this[a]=r[a];return!1}return!1},next:function(){if(this.done)return this.EOF;var t,e,n,i;this._input||(this.done=!0),this._more||(this.yytext="",this.match="");for(var r=this._currentRules(),a=0;a<r.length;a++)if((n=this._input.match(this.rules[r[a]]))&&(!e||n[0].length>e[0].length)){if(e=n,i=a,this.options.backtrack_lexer){if(!1!==(t=this.test_match(n,r[a])))return t;if(this._backtrack){e=!1;continue}return!1}if(!this.options.flex)break}return e?!1!==(t=this.test_match(e,r[i]))&&t:""===this._input?this.EOF:this.parseError("Lexical error on line "+(this.yylineno+1)+". Unrecognized text.\n"+this.showPosition(),{text:"",token:null,line:this.yylineno})},lex:function(){var t=this.next();return t||this.lex()},begin:function(t){this.conditionStack.push(t)},popState:function(){return this.conditionStack.length-1>0?this.conditionStack.pop():this.conditionStack[0]},_currentRules:function(){return this.conditionStack.length&&this.conditionStack[this.conditionStack.length-1]?this.conditions[this.conditionStack[this.conditionStack.length-1]].rules:this.conditions.INITIAL.rules},topState:function(t){return(t=this.conditionStack.length-1-Math.abs(t||0))>=0?this.conditionStack[t]:"INITIAL"},pushState:function(t){this.begin(t)},stateStackSize:function(){return this.conditionStack.length},options:{"case-insensitive":!0},performAction:function(t,e,n,i){switch(n){case 0:return this.begin("acc_title"),25;case 1:return this.popState(),"acc_title_value";case 2:return this.begin("acc_descr"),27;case 3:return this.popState(),"acc_descr_value";case 4:this.begin("acc_descr_multiline");break;case 5:this.popState();break;case 6:return"acc_descr_multiline_value";case 7:return this.begin("open_directive"),52;case 8:return this.begin("type_directive"),53;case 9:return this.popState(),this.begin("arg_directive"),15;case 10:return this.popState(),this.popState(),55;case 11:return 54;case 12:return 11;case 13:case 20:case 25:break;case 14:return 9;case 15:return 31;case 16:return 51;case 17:return 4;case 18:return this.begin("block"),20;case 19:return 39;case 21:return 40;case 22:case 23:return 37;case 24:return 41;case 26:return this.popState(),22;case 27:case 57:return e.yytext[0];case 28:case 32:case 33:case 46:return 44;case 29:case 30:case 31:case 39:case 41:case 48:return 46;case 34:case 35:case 36:case 37:case 38:case 40:case 47:return 45;case 42:case 43:case 44:case 45:return 47;case 49:return 48;case 50:case 53:case 54:case 55:return 49;case 51:case 52:return 50;case 56:return 30;case 58:return 6}},rules:[/^(?:accTitle\s*:\s*)/i,/^(?:(?!\n||)*[^\n]*)/i,/^(?:accDescr\s*:\s*)/i,/^(?:(?!\n||)*[^\n]*)/i,/^(?:accDescr\s*\{\s*)/i,/^(?:[\}])/i,/^(?:[^\}]*)/i,/^(?:%%\{)/i,/^(?:((?:(?!\}%%)[^:.])*))/i,/^(?::)/i,/^(?:\}%%)/i,/^(?:((?:(?!\}%%).|\n)*))/i,/^(?:[\n]+)/i,/^(?:\s+)/i,/^(?:[\s]+)/i,/^(?:"[^"%\r\n\v\b\\]+")/i,/^(?:"[^"]*")/i,/^(?:erDiagram\b)/i,/^(?:\{)/i,/^(?:,)/i,/^(?:\s+)/i,/^(?:\b((?:PK)|(?:FK)|(?:UK))\b)/i,/^(?:(.*?)[~](.*?)*[~])/i,/^(?:[\*A-Za-z_][A-Za-z0-9\-_\[\]\(\)]*)/i,/^(?:"[^"]*")/i,/^(?:[\n]+)/i,/^(?:\})/i,/^(?:.)/i,/^(?:one or zero\b)/i,/^(?:one or more\b)/i,/^(?:one or many\b)/i,/^(?:1\+)/i,/^(?:\|o\b)/i,/^(?:zero or one\b)/i,/^(?:zero or more\b)/i,/^(?:zero or many\b)/i,/^(?:0\+)/i,/^(?:\}o\b)/i,/^(?:many\(0\))/i,/^(?:many\(1\))/i,/^(?:many\b)/i,/^(?:\}\|)/i,/^(?:one\b)/i,/^(?:only one\b)/i,/^(?:1\b)/i,/^(?:\|\|)/i,/^(?:o\|)/i,/^(?:o\{)/i,/^(?:\|\{)/i,/^(?:\s*u\b)/i,/^(?:\.\.)/i,/^(?:--)/i,/^(?:to\b)/i,/^(?:optionally 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n=new Error(t);throw n.hash=e,n}this.trace(t)},parse:function(t){var e=this,n=[0],i=[],r=[null],a=[],o=this.table,s="",c=0,u=0,l=2,h=1,f=a.slice.call(arguments,1),d=Object.create(this.lexer),g={yy:{}};for(var p in this.yy)Object.prototype.hasOwnProperty.call(this.yy,p)&&(g.yy[p]=this.yy[p]);d.setInput(t,g.yy),g.yy.lexer=d,g.yy.parser=this,void 0===d.yylloc&&(d.yylloc={});var b=d.yylloc;a.push(b);var w=d.options&&d.options.ranges;function y(){var t;return"number"!=typeof(t=i.pop()||d.lex()||h)&&(t instanceof Array&&(t=(i=t).pop()),t=e.symbols_[t]||t),t}"function"==typeof g.yy.parseError?this.parseError=g.yy.parseError:this.parseError=Object.getPrototypeOf(this).parseError;for(var m,v,x,k,_,E,T,C,S={};;){if(v=n[n.length-1],this.defaultActions[v]?x=this.defaultActions[v]:(null==m&&(m=y()),x=o[v]&&o[v][m]),void 0===x||!x.length||!x[0]){var A="";for(_ in C=[],o[v])this.terminals_[_]&&_>l&&C.push("'"+this.terminals_[_]+"'");A=d.showPosition?"Parse error on line "+(c+1)+":\n"+d.showPosition()+"\nExpecting "+C.join(", ")+", got '"+(this.terminals_[m]||m)+"'":"Parse error on line "+(c+1)+": Unexpected "+(m==h?"end of input":"'"+(this.terminals_[m]||m)+"'"),this.parseError(A,{text:d.match,token:this.terminals_[m]||m,line:d.yylineno,loc:b,expected:C})}if(x[0]instanceof Array&&x.length>1)throw new Error("Parse Error: multiple actions possible at state: "+v+", token: "+m);switch(x[0]){case 1:n.push(m),r.push(d.yytext),a.push(d.yylloc),n.push(x[1]),m=null,u=d.yyleng,s=d.yytext,c=d.yylineno,b=d.yylloc;break;case 2:if(E=this.productions_[x[1]][1],S.$=r[r.length-E],S._$={first_line:a[a.length-(E||1)].first_line,last_line:a[a.length-1].last_line,first_column:a[a.length-(E||1)].first_column,last_column:a[a.length-1].last_column},w&&(S._$.range=[a[a.length-(E||1)].range[0],a[a.length-1].range[1]]),void 0!==(k=this.performAction.apply(S,[s,u,c,g.yy,x[1],r,a].concat(f))))return k;E&&(n=n.slice(0,-1*E*2),r=r.slice(0,-1*E),a=a.slice(0,-1*E)),n.push(this.productions_[x[1]][0]),r.push(S.$),a.push(S._$),T=o[n[n.length-2]][n[n.length-1]],n.push(T);break;case 3:return!0}}return!0}},ee={EOF:1,parseError:function(t,e){if(!this.yy.parser)throw new Error(t);this.yy.parser.parseError(t,e)},setInput:function(t,e){return this.yy=e||this.yy||{},this._input=t,this._more=this._backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match="",this.conditionStack=["INITIAL"],this.yylloc={first_line:1,first_column:0,last_line:1,last_column:0},this.options.ranges&&(this.yylloc.range=[0,0]),this.offset=0,this},input:function(){var t=this._input[0];return this.yytext+=t,this.yyleng++,this.offset++,this.match+=t,this.matched+=t,t.match(/(?:\r\n?|\n).*/g)?(this.yylineno++,this.yylloc.last_line++):this.yylloc.last_column++,this.options.ranges&&this.yylloc.range[1]++,this._input=this._input.slice(1),t},unput:function(t){var e=t.length,n=t.split(/(?:\r\n?|\n)/g);this._input=t+this._input,this.yytext=this.yytext.substr(0,this.yytext.length-e),this.offset-=e;var i=this.match.split(/(?:\r\n?|\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),n.length-1&&(this.yylineno-=n.length-1);var r=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:n?(n.length===i.length?this.yylloc.first_column:0)+i[i.length-n.length].length-n[0].length:this.yylloc.first_column-e},this.options.ranges&&(this.yylloc.range=[r[0],r[0]+this.yyleng-e]),this.yyleng=this.yytext.length,this},more:function(){return this._more=!0,this},reject:function(){return this.options.backtrack_lexer?(this._backtrack=!0,this):this.parseError("Lexical error on line "+(this.yylineno+1)+". You can only invoke reject() in the lexer when the lexer is of the backtracking persuasion (options.backtrack_lexer = true).\n"+this.showPosition(),{text:"",token:null,line:this.yylineno})},less:function(t){this.unput(this.match.slice(t))},pastInput:function(){var t=this.matched.substr(0,this.matched.length-this.match.length);return(t.length>20?"...":"")+t.substr(-20).replace(/\n/g,"")},upcomingInput:function(){var t=this.match;return t.length<20&&(t+=this._input.substr(0,20-t.length)),(t.substr(0,20)+(t.length>20?"...":"")).replace(/\n/g,"")},showPosition:function(){var t=this.pastInput(),e=new Array(t.length+1).join("-");return t+this.upcomingInput()+"\n"+e+"^"},test_match:function(t,e){var n,i,r;if(this.options.backtrack_lexer&&(r={yylineno:this.yylineno,yylloc:{first_line:this.yylloc.first_line,last_line:this.last_line,first_column:this.yylloc.first_column,last_column:this.yylloc.last_column},yytext:this.yytext,match:this.match,matches:this.matches,matched:this.matched,yyleng:this.yyleng,offset:this.offset,_more:this._more,_input:this._input,yy:this.yy,conditionStack:this.conditionStack.slice(0),done:this.done},this.options.ranges&&(r.yylloc.range=this.yylloc.range.slice(0))),(i=t[0].match(/(?:\r\n?|\n).*/g))&&(this.yylineno+=i.length),this.yylloc={first_line:this.yylloc.last_line,last_line:this.yylineno+1,first_column:this.yylloc.last_column,last_column:i?i[i.length-1].length-i[i.length-1].match(/\r?\n?/)[0].length:this.yylloc.last_column+t[0].length},this.yytext+=t[0],this.match+=t[0],this.matches=t,this.yyleng=this.yytext.length,this.options.ranges&&(this.yylloc.range=[this.offset,this.offset+=this.yyleng]),this._more=!1,this._backtrack=!1,this._input=this._input.slice(t[0].length),this.matched+=t[0],n=this.performAction.call(this,this.yy,this,e,this.conditionStack[this.conditionStack.length-1]),this.done&&this._input&&(this.done=!1),n)return n;if(this._backtrack){for(var a in r)this[a]=r[a];return!1}return!1},next:function(){if(this.done)return this.EOF;var t,e,n,i;this._input||(this.done=!0),this._more||(this.yytext="",this.match="");for(var r=this._currentRules(),a=0;a<r.length;a++)if((n=this._input.match(this.rules[r[a]]))&&(!e||n[0].length>e[0].length)){if(e=n,i=a,this.options.backtrack_lexer){if(!1!==(t=this.test_match(n,r[a])))return t;if(this._backtrack){e=!1;continue}return!1}if(!this.options.flex)break}return e?!1!==(t=this.test_match(e,r[i]))&&t:""===this._input?this.EOF:this.parseError("Lexical error on line "+(this.yylineno+1)+". Unrecognized text.\n"+this.showPosition(),{text:"",token:null,line:this.yylineno})},lex:function(){var t=this.next();return t||this.lex()},begin:function(t){this.conditionStack.push(t)},popState:function(){return this.conditionStack.length-1>0?this.conditionStack.pop():this.conditionStack[0]},_currentRules:function(){return this.conditionStack.length&&this.conditionStack[this.conditionStack.length-1]?this.conditions[this.conditionStack[this.conditionStack.length-1]].rules:this.conditions.INITIAL.rules},topState:function(t){return(t=this.conditionStack.length-1-Math.abs(t||0))>=0?this.conditionStack[t]:"INITIAL"},pushState:function(t){this.begin(t)},stateStackSize:function(){return this.conditionStack.length},options:{},performAction:function(t,e,n,i){switch(n){case 0:return this.begin("open_directive"),12;case 1:return this.begin("type_directive"),13;case 2:return this.popState(),this.begin("arg_directive"),10;case 3:return this.popState(),this.popState(),15;case 4:return 14;case 5:return this.begin("acc_title"),45;case 6:return this.popState(),"acc_title_value";case 7:return this.begin("acc_descr"),47;case 8:return this.popState(),"acc_descr_value";case 9:this.begin("acc_descr_multiline");break;case 10:case 13:case 16:case 19:case 22:case 32:this.popState();break;case 11:return"acc_descr_multiline_value";case 12:this.begin("callbackname");break;case 14:this.popState(),this.begin("callbackargs");break;case 15:return 103;case 17:return 104;case 18:return"MD_STR";case 20:this.begin("md_string");break;case 21:return"STR";case 23:this.pushState("string");break;case 24:return 92;case 25:return 110;case 26:return 93;case 27:return 112;case 28:return 94;case 29:return 95;case 30:return 105;case 31:this.begin("click");break;case 33:return 96;case 34:case 35:case 36:return t.lex.firstGraph()&&this.begin("dir"),24;case 37:return 38;case 38:return 43;case 39:case 40:case 41:case 42:return 106;case 43:return this.popState(),25;case 44:case 45:case 46:case 47:case 48:case 49:case 50:case 51:case 52:case 53:return this.popState(),26;case 54:return 129;case 55:return 130;case 56:return 131;case 57:return 132;case 58:return 113;case 59:case 100:return 119;case 60:return 55;case 61:return 69;case 62:case 101:return 53;case 63:return 20;case 64:return 114;case 65:case 99:return 123;case 66:case 69:case 72:return this.popState(),86;case 67:return this.pushState("edgeText"),84;case 68:case 71:case 74:return 127;case 70:return this.pushState("thickEdgeText"),84;case 73:return this.pushState("dottedEdgeText"),84;case 75:return 86;case 76:return this.popState(),62;case 77:case 113:return"TEXT";case 78:return this.pushState("ellipseText"),61;case 79:return this.popState(),64;case 80:return this.pushState("text"),63;case 81:return this.popState(),66;case 82:return this.pushState("text"),65;case 83:return 67;case 84:return this.pushState("text"),76;case 85:return this.popState(),73;case 86:return this.pushState("text"),72;case 87:return this.popState(),58;case 88:return this.pushState("text"),57;case 89:return this.popState(),78;case 90:return this.popState(),80;case 91:return 125;case 92:return this.pushState("trapText"),77;case 93:return this.pushState("trapText"),79;case 94:return 126;case 95:return 76;case 96:return 98;case 97:return"SEP";case 98:return 97;case 102:return 117;case 103:return 122;case 104:return 124;case 105:return this.popState(),71;case 106:return this.pushState("text"),71;case 107:return this.popState(),60;case 108:return this.pushState("text"),59;case 109:return this.popState(),42;case 110:return this.pushState("text"),40;case 111:return this.popState(),75;case 112:return this.pushState("text"),74;case 114:return"QUOTE";case 115:return 21;case 116:return 22;case 117:return 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center;\n    max-width: 200px;\n    padding: 2px;\n    font-family: ${t.fontFamily};\n    font-size: 12px;\n    background: ${t.tertiaryColor};\n    border: 1px solid ${t.border2};\n    border-radius: 2px;\n    pointer-events: none;\n    z-index: 100;\n  }\n\n  .flowchartTitleText {\n    text-anchor: middle;\n    font-size: 18px;\n    fill: ${t.textColor};\n  }\n  .subgraph {\n    stroke-width:2;\n    rx:3;\n  }\n  // .subgraph-lvl-1 {\n  //   fill:#ccc;\n  //   // stroke:black;\n  // }\n\n  .flowchart-label text {\n    text-anchor: middle;\n  }\n\n  ${(t=>{let e="";for(let n=0;n<5;n++)e+=`\n      .subgraph-lvl-${n} {\n        fill: ${t[`surface${n}`]};\n        stroke: ${t[`surfacePeer${n}`]};\n      }\n    `;return e})(t)}\n`,x={db:i.d,renderer:m,parser:i.p,styles:v}},9773:(t,e,n)=>{"use strict";n.r(e),n.d(e,{diagram:()=>X});var i=n(7967),r=n(7484),a=n(9542),o=n(285),s=n(8734),c=n(9339),u=n(7274),l=(n(7856),function(){var t=function(t,e,n,i){for(n=n||{},i=t.length;i--;n[t[i]]=e);return n},e=[1,3],n=[1,5],i=[7,9,11,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,31,33,34,36,43,48],r=[1,32],a=[1,33],o=[1,34],s=[1,35],c=[1,36],u=[1,37],l=[1,38],h=[1,15],f=[1,16],d=[1,17],g=[1,18],p=[1,19],b=[1,20],w=[1,21],y=[1,22],m=[1,24],v=[1,25],x=[1,26],k=[1,27],_=[1,28],E=[1,30],T=[1,39],C=[1,42],S=[5,7,9,11,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,31,33,34,36,43,48],A={trace:function(){},yy:{},symbols_:{error:2,start:3,directive:4,gantt:5,document:6,EOF:7,line:8,SPACE:9,statement:10,NL:11,weekday:12,weekday_monday:13,weekday_tuesday:14,weekday_wednesday:15,weekday_thursday:16,weekday_friday:17,weekday_saturday:18,weekday_sunday:19,dateFormat:20,inclusiveEndDates:21,topAxis:22,axisFormat:23,tickInterval:24,excludes:25,includes:26,todayMarker:27,title:28,acc_title:29,acc_title_value:30,acc_descr:31,acc_descr_value:32,acc_descr_multiline_value:33,section:34,clickStatement:35,taskTxt:36,taskData:37,openDirective:38,typeDirective:39,closeDirective:40,":":41,argDirective:42,click:43,callbackname:44,callbackargs:45,href:46,clickStatementDebug:47,open_directive:48,type_directive:49,arg_directive:50,close_directive:51,$accept:0,$end:1},terminals_:{2:"error",5:"gantt",7:"EOF",9:"SPACE",11:"NL",13:"weekday_monday",14:"weekday_tuesday",15:"weekday_wednesday",16:"weekday_thursday",17:"weekday_friday",18:"weekday_saturday",19:"weekday_sunday",20:"dateFormat",21:"inclusiveEndDates",22:"topAxis",23:"axisFormat",24:"tickInterval",25:"excludes",26:"includes",27:"todayMarker",28:"title",29:"acc_title",30:"acc_title_value",31:"acc_descr",32:"acc_descr_value",33:"acc_descr_multiline_value",34:"section",36:"taskTxt",37:"taskData",41:":",43:"click",44:"callbackname",45:"callbackargs",46:"href",48:"open_directive",49:"type_directive",50:"arg_directive",51:"close_directive"},productions_:[0,[3,2],[3,3],[6,0],[6,2],[8,2],[8,1],[8,1],[8,1],[12,1],[12,1],[12,1],[12,1],[12,1],[12,1],[12,1],[10,1],[10,1],[10,1],[10,1],[10,1],[10,1],[10,1],[10,1],[10,1],[10,1],[10,2],[10,2],[10,1],[10,1],[10,1],[10,2],[10,1],[4,4],[4,6],[35,2],[35,3],[35,3],[35,4],[35,3],[35,4],[35,2],[47,2],[47,3],[47,3],[47,4],[47,3],[47,4],[47,2],[38,1],[39,1],[42,1],[40,1]],performAction:function(t,e,n,i,r,a,o){var s=a.length-1;switch(r){case 2:return a[s-1];case 3:case 7:case 8:this.$=[];break;case 4:a[s-1].push(a[s]),this.$=a[s-1];break;case 5:case 6:this.$=a[s];break;case 9:i.setWeekday("monday");break;case 10:i.setWeekday("tuesday");break;case 11:i.setWeekday("wednesday");break;case 12:i.setWeekday("thursday");break;case 13:i.setWeekday("friday");break;case 14:i.setWeekday("saturday");break;case 15:i.setWeekday("sunday");break;case 16:i.setDateFormat(a[s].substr(11)),this.$=a[s].substr(11);break;case 17:i.enableInclusiveEndDates(),this.$=a[s].substr(18);break;case 18:i.TopAxis(),this.$=a[s].substr(8);break;case 19:i.setAxisFormat(a[s].substr(11)),this.$=a[s].substr(11);break;case 20:i.setTickInterval(a[s].substr(13)),this.$=a[s].substr(13);break;case 21:i.setExcludes(a[s].substr(9)),this.$=a[s].substr(9);break;case 22:i.setIncludes(a[s].substr(9)),this.$=a[s].substr(9);break;case 23:i.setTodayMarker(a[s].substr(12)),this.$=a[s].substr(12);break;case 25:i.setDiagramTitle(a[s].substr(6)),this.$=a[s].substr(6);break;case 26:this.$=a[s].trim(),i.setAccTitle(this.$);break;case 27:case 28:this.$=a[s].trim(),i.setAccDescription(this.$);break;case 29:i.addSection(a[s].substr(8)),this.$=a[s].substr(8);break;case 31:i.addTask(a[s-1],a[s]),this.$="task";break;case 35:this.$=a[s-1],i.setClickEvent(a[s-1],a[s],null);break;case 36:this.$=a[s-2],i.setClickEvent(a[s-2],a[s-1],a[s]);break;case 37:this.$=a[s-2],i.setClickEvent(a[s-2],a[s-1],null),i.setLink(a[s-2],a[s]);break;case 38:this.$=a[s-3],i.setClickEvent(a[s-3],a[s-2],a[s-1]),i.setLink(a[s-3],a[s]);break;case 39:this.$=a[s-2],i.setClickEvent(a[s-2],a[s],null),i.setLink(a[s-2],a[s-1]);break;case 40:this.$=a[s-3],i.setClickEvent(a[s-3],a[s-1],a[s]),i.setLink(a[s-3],a[s-2]);break;case 41:this.$=a[s-1],i.setLink(a[s-1],a[s]);break;case 42:case 48:this.$=a[s-1]+" "+a[s];break;case 43:case 44:case 46:this.$=a[s-2]+" "+a[s-1]+" "+a[s];break;case 45:case 47:this.$=a[s-3]+" "+a[s-2]+" "+a[s-1]+" 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52:i.parseDirective("}%%","close_directive","gantt")}},table:[{3:1,4:2,5:e,38:4,48:n},{1:[3]},{3:6,4:2,5:e,38:4,48:n},t(i,[2,3],{6:7}),{39:8,49:[1,9]},{49:[2,49]},{1:[2,1]},{4:31,7:[1,10],8:11,9:[1,12],10:13,11:[1,14],12:23,13:r,14:a,15:o,16:s,17:c,18:u,19:l,20:h,21:f,22:d,23:g,24:p,25:b,26:w,27:y,28:m,29:v,31:x,33:k,34:_,35:29,36:E,38:4,43:T,48:n},{40:40,41:[1,41],51:C},t([41,51],[2,50]),t(i,[2,8],{1:[2,2]}),t(i,[2,4]),{4:31,10:43,12:23,13:r,14:a,15:o,16:s,17:c,18:u,19:l,20:h,21:f,22:d,23:g,24:p,25:b,26:w,27:y,28:m,29:v,31:x,33:k,34:_,35:29,36:E,38:4,43:T,48:n},t(i,[2,6]),t(i,[2,7]),t(i,[2,16]),t(i,[2,17]),t(i,[2,18]),t(i,[2,19]),t(i,[2,20]),t(i,[2,21]),t(i,[2,22]),t(i,[2,23]),t(i,[2,24]),t(i,[2,25]),{30:[1,44]},{32:[1,45]},t(i,[2,28]),t(i,[2,29]),t(i,[2,30]),{37:[1,46]},t(i,[2,32]),t(i,[2,9]),t(i,[2,10]),t(i,[2,11]),t(i,[2,12]),t(i,[2,13]),t(i,[2,14]),t(i,[2,15]),{44:[1,47],46:[1,48]},{11:[1,49]},{42:50,50:[1,51]},{11:[2,52]},t(i,[2,5]),t(i,[2,26]),t(i,[2,27]),t(i,[2,31]),t(i,[2,35],{45:[1,52],46:[1,53]}),t(i,[2,41],{44:[1,54]}),t(S,[2,33]),{40:55,51:C},{51:[2,51]},t(i,[2,36],{46:[1,56]}),t(i,[2,37]),t(i,[2,39],{45:[1,57]}),{11:[1,58]},t(i,[2,38]),t(i,[2,40]),t(S,[2,34])],defaultActions:{5:[2,49],6:[2,1],42:[2,52],51:[2,51]},parseError:function(t,e){if(!e.recoverable){var n=new Error(t);throw n.hash=e,n}this.trace(t)},parse:function(t){var e=this,n=[0],i=[],r=[null],a=[],o=this.table,s="",c=0,u=0,l=2,h=1,f=a.slice.call(arguments,1),d=Object.create(this.lexer),g={yy:{}};for(var p in this.yy)Object.prototype.hasOwnProperty.call(this.yy,p)&&(g.yy[p]=this.yy[p]);d.setInput(t,g.yy),g.yy.lexer=d,g.yy.parser=this,void 0===d.yylloc&&(d.yylloc={});var b=d.yylloc;a.push(b);var w=d.options&&d.options.ranges;function y(){var t;return"number"!=typeof(t=i.pop()||d.lex()||h)&&(t instanceof Array&&(t=(i=t).pop()),t=e.symbols_[t]||t),t}"function"==typeof g.yy.parseError?this.parseError=g.yy.parseError:this.parseError=Object.getPrototypeOf(this).parseError;for(var m,v,x,k,_,E,T,C,S={};;){if(v=n[n.length-1],this.defaultActions[v]?x=this.defaultActions[v]:(null==m&&(m=y()),x=o[v]&&o[v][m]),void 0===x||!x.length||!x[0]){var A="";for(_ in C=[],o[v])this.terminals_[_]&&_>l&&C.push("'"+this.terminals_[_]+"'");A=d.showPosition?"Parse error on line 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k;E&&(n=n.slice(0,-1*E*2),r=r.slice(0,-1*E),a=a.slice(0,-1*E)),n.push(this.productions_[x[1]][0]),r.push(S.$),a.push(S._$),T=o[n[n.length-2]][n[n.length-1]],n.push(T);break;case 3:return!0}}return!0}},M={EOF:1,parseError:function(t,e){if(!this.yy.parser)throw new Error(t);this.yy.parser.parseError(t,e)},setInput:function(t,e){return this.yy=e||this.yy||{},this._input=t,this._more=this._backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match="",this.conditionStack=["INITIAL"],this.yylloc={first_line:1,first_column:0,last_line:1,last_column:0},this.options.ranges&&(this.yylloc.range=[0,0]),this.offset=0,this},input:function(){var t=this._input[0];return this.yytext+=t,this.yyleng++,this.offset++,this.match+=t,this.matched+=t,t.match(/(?:\r\n?|\n).*/g)?(this.yylineno++,this.yylloc.last_line++):this.yylloc.last_column++,this.options.ranges&&this.yylloc.range[1]++,this._input=this._input.slice(1),t},unput:function(t){var e=t.length,n=t.split(/(?:\r\n?|\n)/g);this._input=t+this._input,this.yytext=this.yytext.substr(0,this.yytext.length-e),this.offset-=e;var i=this.match.split(/(?:\r\n?|\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),n.length-1&&(this.yylineno-=n.length-1);var r=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:n?(n.length===i.length?this.yylloc.first_column:0)+i[i.length-n.length].length-n[0].length:this.yylloc.first_column-e},this.options.ranges&&(this.yylloc.range=[r[0],r[0]+this.yyleng-e]),this.yyleng=this.yytext.length,this},more:function(){return this._more=!0,this},reject:function(){return this.options.backtrack_lexer?(this._backtrack=!0,this):this.parseError("Lexical error on line "+(this.yylineno+1)+". You can only invoke reject() in the lexer when the lexer is of the backtracking persuasion (options.backtrack_lexer = true).\n"+this.showPosition(),{text:"",token:null,line:this.yylineno})},less:function(t){this.unput(this.match.slice(t))},pastInput:function(){var t=this.matched.substr(0,this.matched.length-this.match.length);return(t.length>20?"...":"")+t.substr(-20).replace(/\n/g,"")},upcomingInput:function(){var t=this.match;return t.length<20&&(t+=this._input.substr(0,20-t.length)),(t.substr(0,20)+(t.length>20?"...":"")).replace(/\n/g,"")},showPosition:function(){var t=this.pastInput(),e=new Array(t.length+1).join("-");return t+this.upcomingInput()+"\n"+e+"^"},test_match:function(t,e){var n,i,r;if(this.options.backtrack_lexer&&(r={yylineno:this.yylineno,yylloc:{first_line:this.yylloc.first_line,last_line:this.last_line,first_column:this.yylloc.first_column,last_column:this.yylloc.last_column},yytext:this.yytext,match:this.match,matches:this.matches,matched:this.matched,yyleng:this.yyleng,offset:this.offset,_more:this._more,_input:this._input,yy:this.yy,conditionStack:this.conditionStack.slice(0),done:this.done},this.options.ranges&&(r.yylloc.range=this.yylloc.range.slice(0))),(i=t[0].match(/(?:\r\n?|\n).*/g))&&(this.yylineno+=i.length),this.yylloc={first_line:this.yylloc.last_line,last_line:this.yylineno+1,first_column:this.yylloc.last_column,last_column:i?i[i.length-1].length-i[i.length-1].match(/\r?\n?/)[0].length:this.yylloc.last_column+t[0].length},this.yytext+=t[0],this.match+=t[0],this.matches=t,this.yyleng=this.yytext.length,this.options.ranges&&(this.yylloc.range=[this.offset,this.offset+=this.yyleng]),this._more=!1,this._backtrack=!1,this._input=this._input.slice(t[0].length),this.matched+=t[0],n=this.performAction.call(this,this.yy,this,e,this.conditionStack[this.conditionStack.length-1]),this.done&&this._input&&(this.done=!1),n)return n;if(this._backtrack){for(var a in r)this[a]=r[a];return!1}return!1},next:function(){if(this.done)return this.EOF;var t,e,n,i;this._input||(this.done=!0),this._more||(this.yytext="",this.match="");for(var r=this._currentRules(),a=0;a<r.length;a++)if((n=this._input.match(this.rules[r[a]]))&&(!e||n[0].length>e[0].length)){if(e=n,i=a,this.options.backtrack_lexer){if(!1!==(t=this.test_match(n,r[a])))return t;if(this._backtrack){e=!1;continue}return!1}if(!this.options.flex)break}return e?!1!==(t=this.test_match(e,r[i]))&&t:""===this._input?this.EOF:this.parseError("Lexical error on line "+(this.yylineno+1)+". 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121:i.parseDirective("}%%","close_directive","gitGraph")}},table:[{3:1,4:2,5:3,6:e,8:n,14:i,46:8,50:r,55:a},{1:[3]},{3:10,4:2,5:3,6:e,8:n,14:i,46:8,50:r,55:a},{3:11,4:2,5:3,6:e,8:n,14:i,46:8,50:r,55:a},{7:12,8:o,9:[1,13],10:[1,14],11:15,14:s},t(c,[2,124]),t(c,[2,125]),t(c,[2,126]),{47:17,51:[1,18]},{51:[2,118]},{1:[2,1]},{1:[2,2]},{8:[1,19]},{7:20,8:o,11:15,14:s},{9:[1,21]},t(u,[2,10],{12:22,13:[1,23]}),t(l,[2,9]),{9:[1,25],48:24,53:h},t([9,53],[2,119]),{1:[2,3]},{8:[1,27]},{7:28,8:o,11:15,14:s},{8:[2,7],14:[1,31],15:29,16:30,17:32,18:33,19:34,20:[1,35],22:[1,36],24:[1,37],25:[1,38],26:39,27:[1,40],29:[1,44],32:[1,43],37:[1,42],40:[1,41]},t(l,[2,8]),t(f,[2,116]),{49:45,52:[1,46]},t(f,[2,121]),{1:[2,4]},{8:[1,47]},t(u,[2,11]),{4:48,8:n,14:i,55:a},t(u,[2,13]),t(d,[2,14]),t(d,[2,15]),t(d,[2,16]),{21:[1,49]},{23:[1,50]},t(d,[2,19]),t(d,[2,20]),t(d,[2,21]),{28:51,34:g,54:p},t(d,[2,111],{41:54,33:[1,57],34:[1,59],35:[1,55],38:[1,56],42:[1,58]}),{28:60,34:g,54:p},{33:[1,61],35:[1,62]},{28:63,34:g,54:p},{48:64,53:h},{53:[2,120]},{1:[2,5]},t(u,[2,12]),t(d,[2,17]),t(d,[2,18]),t(d,[2,22]),t(b,[2,122]),t(b,[2,123]),t(d,[2,46]),{34:[1,65]},{39:66,43:w,44:y,45:m},{34:[1,70]},{34:[1,71]},t(d,[2,112]),t(d,[2,30],{33:[1,72],35:[1,74],38:[1,73]}),{34:[1,75]},{34:[1,76],36:[1,77]},t(d,[2,23],{30:[1,78]}),t(f,[2,117]),t(d,[2,47],{33:[1,80],38:[1,79],42:[1,81]}),t(d,[2,48],{33:[1,83],35:[1,82],42:[1,84]}),t(v,[2,113]),t(v,[2,114]),t(v,[2,115]),t(d,[2,51],{35:[1,85],38:[1,86],42:[1,87]}),t(d,[2,62],{33:[1,90],35:[1,88],38:[1,89]}),{34:[1,91]},{39:92,43:w,44:y,45:m},{34:[1,93]},t(d,[2,25],{35:[1,94]}),{33:[1,95]},{33:[1,96]},{31:[1,97]},{39:98,43:w,44:y,45:m},{34:[1,99]},{34:[1,100]},{34:[1,101]},{34:[1,102]},{34:[1,103]},{34:[1,104]},{39:105,43:w,44:y,45:m},{34:[1,106]},{34:[1,107]},{39:108,43:w,44:y,45:m},{34:[1,109]},t(d,[2,31],{35:[1,111],38:[1,110]}),t(d,[2,32],{33:[1,113],35:[1,112]}),t(d,[2,33],{33:[1,114],38:[1,115]}),{34:[1,116],36:[1,117]},{34:[1,118]},{34:[1,119]},t(d,[2,24]),t(d,[2,49],{33:[1,120],42:[1,121]}),t(d,[2,53],{38:[1,122],42:[1,123]}),t(d,[2,63],{33:[1,125],38:[1,124]}),t(d,[2,50],{33:[1,126],42:[1,127]}),t(d,[2,55],{35:[1,128],42:[1,129]}),t(d,[2,66],{33:[1,131],35:[1,130]}),t(d,[2,52],{38:[1,132],42:[1,133]}),t(d,[2,54],{35:[1,134],42:[1,135]}),t(d,[2,67],{35:[1,137],38:[1,136]}),t(d,[2,64],{33:[1,139],38:[1,138]}),t(d,[2,65],{33:[1,141],35:[1,140]}),t(d,[2,68],{35:[1,143],38:[1,142]}),{39:144,43:w,44:y,45:m},{34:[1,145]},{34:[1,146]},{34:[1,147]},{34:[1,148]},{39:149,43:w,44:y,45:m},t(d,[2,26]),t(d,[2,27]),t(d,[2,28]),t(d,[2,29]),{34:[1,150]},{34:[1,151]},{39:152,43:w,44:y,45:m},{34:[1,153]},{39:154,43:w,44:y,45:m},{34:[1,155]},{34:[1,156]},{34:[1,157]},{34:[1,158]},{34:[1,159]},{34:[1,160]},{34:[1,161]},{39:162,43:w,44:y,45:m},{34:[1,163]},{34:[1,164]},{34:[1,165]},{39:166,43:w,44:y,45:m},{34:[1,167]},{39:168,43:w,44:y,45:m},{34:[1,169]},{34:[1,170]},{34:[1,171]},{39:172,43:w,44:y,45:m},{34:[1,173]},t(d,[2,37],{35:[1,174]}),t(d,[2,38],{38:[1,175]}),t(d,[2,36],{33:[1,176]}),t(d,[2,39],{35:[1,177]}),t(d,[2,34],{38:[1,178]}),t(d,[2,35],{33:[1,179]}),t(d,[2,60],{42:[1,180]}),t(d,[2,73],{33:[1,181]}),t(d,[2,61],{42:[1,182]}),t(d,[2,84],{38:[1,183]}),t(d,[2,74],{33:[1,184]}),t(d,[2,83],{38:[1,185]}),t(d,[2,59],{42:[1,186]}),t(d,[2,72],{33:[1,187]}),t(d,[2,58],{42:[1,188]}),t(d,[2,78],{35:[1,189]}),t(d,[2,71],{33:[1,190]}),t(d,[2,77],{35:[1,191]}),t(d,[2,57],{42:[1,192]}),t(d,[2,85],{38:[1,193]}),t(d,[2,56],{42:[1,194]}),t(d,[2,79],{35:[1,195]}),t(d,[2,80],{35:[1,196]}),t(d,[2,86],{38:[1,197]}),t(d,[2,70],{33:[1,198]}),t(d,[2,81],{38:[1,199]}),t(d,[2,69],{33:[1,200]}),t(d,[2,75],{35:[1,201]}),t(d,[2,76],{35:[1,202]}),t(d,[2,82],{38:[1,203]}),{34:[1,204]},{39:205,43:w,44:y,45:m},{34:[1,206]},{34:[1,207]},{39:208,43:w,44:y,45:m},{34:[1,209]},{34:[1,210]},{34:[1,211]},{34:[1,212]},{39:213,43:w,44:y,45:m},{34:[1,214]},{39:215,43:w,44:y,45:m},{34:[1,216]},{34:[1,217]},{34:[1,218]},{34:[1,219]},{34:[1,220]},{34:[1,221]},{34:[1,222]},{39:223,43:w,44:y,45:m},{34:[1,224]},{34:[1,225]},{34:[1,226]},{39:227,43:w,44:y,45:m},{34:[1,228]},{39:229,43:w,44:y,45:m},{34:[1,230]},{34:[1,231]},{34:[1,232]},{39:233,43:w,44:y,45:m},t(d,[2,40]),t(d,[2,42]),t(d,[2,41]),t(d,[2,43]),t(d,[2,45]),t(d,[2,44]),t(d,[2,101]),t(d,[2,102]),t(d,[2,99]),t(d,[2,100]),t(d,[2,104]),t(d,[2,103]),t(d,[2,108]),t(d,[2,107]),t(d,[2,106]),t(d,[2,105]),t(d,[2,110]),t(d,[2,109]),t(d,[2,98]),t(d,[2,97]),t(d,[2,96]),t(d,[2,95]),t(d,[2,93]),t(d,[2,94]),t(d,[2,92]),t(d,[2,91]),t(d,[2,90]),t(d,[2,89]),t(d,[2,87]),t(d,[2,88])],defaultActions:{9:[2,118],10:[2,1],11:[2,2],19:[2,3],27:[2,4],46:[2,120],47:[2,5]},parseError:function(t,e){if(!e.recoverable){var n=new Error(t);throw n.hash=e,n}this.trace(t)},parse:function(t){var e=this,n=[0],i=[],r=[null],a=[],o=this.table,s="",c=0,u=0,l=2,h=1,f=a.slice.call(arguments,1),d=Object.create(this.lexer),g={yy:{}};for(var p in this.yy)Object.prototype.hasOwnProperty.call(this.yy,p)&&(g.yy[p]=this.yy[p]);d.setInput(t,g.yy),g.yy.lexer=d,g.yy.parser=this,void 0===d.yylloc&&(d.yylloc={});var b=d.yylloc;a.push(b);var w=d.options&&d.options.ranges;function y(){var t;return"number"!=typeof(t=i.pop()||d.lex()||h)&&(t instanceof Array&&(t=(i=t).pop()),t=e.symbols_[t]||t),t}"function"==typeof g.yy.parseError?this.parseError=g.yy.parseError:this.parseError=Object.getPrototypeOf(this).parseError;for(var m,v,x,k,_,E,T,C,S={};;){if(v=n[n.length-1],this.defaultActions[v]?x=this.defaultActions[v]:(null==m&&(m=y()),x=o[v]&&o[v][m]),void 0===x||!x.length||!x[0]){var A="";for(_ in C=[],o[v])this.terminals_[_]&&_>l&&C.push("'"+this.terminals_[_]+"'");A=d.showPosition?"Parse error on line 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k;E&&(n=n.slice(0,-1*E*2),r=r.slice(0,-1*E),a=a.slice(0,-1*E)),n.push(this.productions_[x[1]][0]),r.push(S.$),a.push(S._$),T=o[n[n.length-2]][n[n.length-1]],n.push(T);break;case 3:return!0}}return!0}},k={EOF:1,parseError:function(t,e){if(!this.yy.parser)throw new Error(t);this.yy.parser.parseError(t,e)},setInput:function(t,e){return this.yy=e||this.yy||{},this._input=t,this._more=this._backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match="",this.conditionStack=["INITIAL"],this.yylloc={first_line:1,first_column:0,last_line:1,last_column:0},this.options.ranges&&(this.yylloc.range=[0,0]),this.offset=0,this},input:function(){var t=this._input[0];return this.yytext+=t,this.yyleng++,this.offset++,this.match+=t,this.matched+=t,t.match(/(?:\r\n?|\n).*/g)?(this.yylineno++,this.yylloc.last_line++):this.yylloc.last_column++,this.options.ranges&&this.yylloc.range[1]++,this._input=this._input.slice(1),t},unput:function(t){var e=t.length,n=t.split(/(?:\r\n?|\n)/g);this._input=t+this._input,this.yytext=this.yytext.substr(0,this.yytext.length-e),this.offset-=e;var i=this.match.split(/(?:\r\n?|\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),n.length-1&&(this.yylineno-=n.length-1);var r=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:n?(n.length===i.length?this.yylloc.first_column:0)+i[i.length-n.length].length-n[0].length:this.yylloc.first_column-e},this.options.ranges&&(this.yylloc.range=[r[0],r[0]+this.yyleng-e]),this.yyleng=this.yytext.length,this},more:function(){return this._more=!0,this},reject:function(){return this.options.backtrack_lexer?(this._backtrack=!0,this):this.parseError("Lexical error on line "+(this.yylineno+1)+". 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p=0;return(t=>m(t,t.children()))(e).forEach((function(t){const n=e.node(t);o.l.info("Position "+t+": "+JSON.stringify(e.node(t))),o.l.info("Position "+t+": ("+n.x,","+n.y,") width: ",n.width," height: ",n.height),n&&n.clusterNode?(0,a.p)(n):e.children(t).length>0?(((t,e)=>{o.l.trace("Inserting cluster");const n=e.shape||"rect";x[e.id]=v[n](t,e)})(h,n),l[n.id].node=n):(0,a.p)(n)})),e.edges().forEach((function(t){const i=e.edge(t);o.l.info("Edge "+t.v+" -> "+t.w+": "+JSON.stringify(i),i);const r=(0,a.g)(f,t,i,l,n,e);(0,a.h)(i,r)})),e.nodes().forEach((function(t){const n=e.node(t);o.l.info(t,n.type,n.diff),"group"===n.type&&(p=n.diff)})),{elem:u,diff:p}},_=async(t,e,n,i,s)=>{(0,a.a)(t,n,i,s),(0,a.b)(),(0,a.d)(),x={},h={},f={},l={},o.l.warn("Graph at first:",r.c(e)),((t,e)=>{!t||e>10?o.l.debug("Opting out, no graph "):(o.l.debug("Opting in, graph "),t.nodes().forEach((function(e){t.children(e).length>0&&(o.l.warn("Cluster identified",e," Replacement id in edges: 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this.yy=e||this.yy||{},this._input=t,this._more=this._backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match="",this.conditionStack=["INITIAL"],this.yylloc={first_line:1,first_column:0,last_line:1,last_column:0},this.options.ranges&&(this.yylloc.range=[0,0]),this.offset=0,this},input:function(){var t=this._input[0];return this.yytext+=t,this.yyleng++,this.offset++,this.match+=t,this.matched+=t,t.match(/(?:\r\n?|\n).*/g)?(this.yylineno++,this.yylloc.last_line++):this.yylloc.last_column++,this.options.ranges&&this.yylloc.range[1]++,this._input=this._input.slice(1),t},unput:function(t){var e=t.length,n=t.split(/(?:\r\n?|\n)/g);this._input=t+this._input,this.yytext=this.yytext.substr(0,this.yytext.length-e),this.offset-=e;var i=this.match.split(/(?:\r\n?|\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),n.length-1&&(this.yylineno-=n.length-1);var r=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:n?(n.length===i.length?this.yylloc.first_column:0)+i[i.length-n.length].length-n[0].length:this.yylloc.first_column-e},this.options.ranges&&(this.yylloc.range=[r[0],r[0]+this.yyleng-e]),this.yyleng=this.yytext.length,this},more:function(){return this._more=!0,this},reject:function(){return this.options.backtrack_lexer?(this._backtrack=!0,this):this.parseError("Lexical error on line "+(this.yylineno+1)+". 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this.yy)Object.prototype.hasOwnProperty.call(this.yy,p)&&(g.yy[p]=this.yy[p]);d.setInput(t,g.yy),g.yy.lexer=d,g.yy.parser=this,void 0===d.yylloc&&(d.yylloc={});var b=d.yylloc;a.push(b);var w=d.options&&d.options.ranges;function y(){var t;return"number"!=typeof(t=i.pop()||d.lex()||h)&&(t instanceof Array&&(t=(i=t).pop()),t=e.symbols_[t]||t),t}"function"==typeof g.yy.parseError?this.parseError=g.yy.parseError:this.parseError=Object.getPrototypeOf(this).parseError;for(var m,v,x,k,_,E,T,C,S={};;){if(v=n[n.length-1],this.defaultActions[v]?x=this.defaultActions[v]:(null==m&&(m=y()),x=o[v]&&o[v][m]),void 0===x||!x.length||!x[0]){var A="";for(_ in C=[],o[v])this.terminals_[_]&&_>l&&C.push("'"+this.terminals_[_]+"'");A=d.showPosition?"Parse error on line "+(c+1)+":\n"+d.showPosition()+"\nExpecting "+C.join(", ")+", got '"+(this.terminals_[m]||m)+"'":"Parse error on line "+(c+1)+": Unexpected "+(m==h?"end of 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t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScale"+t]=(0,g.Z)(this["cScale"+t],10),this["cScalePeer"+t]=this["cScalePeer"+t]||(0,g.Z)(this["cScale"+t],25);for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScaleInv"+t]=this["cScaleInv"+t]||l(this["cScale"+t],{h:180});for(let t=0;t<5;t++)this["surface"+t]=this["surface"+t]||l(this.mainBkg,{h:30,l:-(5+5*t)}),this["surfacePeer"+t]=this["surfacePeer"+t]||l(this.mainBkg,{h:30,l:-(7+5*t)});if(this.scaleLabelColor="calculated"!==this.scaleLabelColor&&this.scaleLabelColor?this.scaleLabelColor:this.labelTextColor,"calculated"!==this.labelTextColor){this.cScaleLabel0=this.cScaleLabel0||d(this.labelTextColor),this.cScaleLabel3=this.cScaleLabel3||d(this.labelTextColor);for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScaleLabel"+t]=this["cScaleLabel"+t]||this.labelTextColor}this.nodeBkg=this.mainBkg,this.nodeBorder=this.border1,this.clusterBkg=this.secondBkg,this.clusterBorder=this.border2,this.defaultLinkColor=this.lineColor,this.titleColor=this.textColor,this.edgeLabelBackground=this.labelBackground,this.actorBorder=(0,p.Z)(this.border1,23),this.actorBkg=this.mainBkg,this.labelBoxBkgColor=this.actorBkg,this.signalColor=this.textColor,this.signalTextColor=this.textColor,this.labelBoxBorderColor=this.actorBorder,this.labelTextColor=this.actorTextColor,this.loopTextColor=this.actorTextColor,this.noteBorderColor=this.border2,this.noteTextColor=this.actorTextColor,this.taskTextColor=this.taskTextLightColor,this.taskTextOutsideColor=this.taskTextDarkColor,this.transitionColor=this.transitionColor||this.lineColor,this.transitionLabelColor=this.transitionLabelColor||this.textColor,this.stateLabelColor=this.stateLabelColor||this.stateBkg||this.primaryTextColor,this.stateBkg=this.stateBkg||this.mainBkg,this.labelBackgroundColor=this.labelBackgroundColor||this.stateBkg,this.compositeBackground=this.compositeBackground||this.background||this.tertiaryColor,this.altBackground=this.altBackground||"#f0f0f0",this.compositeTitleBackground=this.compositeTitleBackground||this.mainBkg,this.compositeBorder=this.compositeBorder||this.nodeBorder,this.innerEndBackground=this.nodeBorder,this.specialStateColor=this.lineColor,this.errorBkgColor=this.errorBkgColor||this.tertiaryColor,this.errorTextColor=this.errorTextColor||this.tertiaryTextColor,this.transitionColor=this.transitionColor||this.lineColor,this.classText=this.primaryTextColor,this.fillType0=this.primaryColor,this.fillType1=this.secondaryColor,this.fillType2=l(this.primaryColor,{h:64}),this.fillType3=l(this.secondaryColor,{h:64}),this.fillType4=l(this.primaryColor,{h:-64}),this.fillType5=l(this.secondaryColor,{h:-64}),this.fillType6=l(this.primaryColor,{h:128}),this.fillType7=l(this.secondaryColor,{h:128}),this.pie1=this.pie1||this.primaryColor,this.pie2=this.pie2||this.secondaryColor,this.pie3=this.pie3||l(this.tertiaryColor,{l:-40}),this.pie4=this.pie4||l(this.primaryColor,{l:-10}),this.pie5=this.pie5||l(this.secondaryColor,{l:-30}),this.pie6=this.pie6||l(this.tertiaryColor,{l:-20}),this.pie7=this.pie7||l(this.primaryColor,{h:60,l:-20}),this.pie8=this.pie8||l(this.primaryColor,{h:-60,l:-40}),this.pie9=this.pie9||l(this.primaryColor,{h:120,l:-40}),this.pie10=this.pie10||l(this.primaryColor,{h:60,l:-40}),this.pie11=this.pie11||l(this.primaryColor,{h:-90,l:-40}),this.pie12=this.pie12||l(this.primaryColor,{h:120,l:-30}),this.pieTitleTextSize=this.pieTitleTextSize||"25px",this.pieTitleTextColor=this.pieTitleTextColor||this.taskTextDarkColor,this.pieSectionTextSize=this.pieSectionTextSize||"17px",this.pieSectionTextColor=this.pieSectionTextColor||this.textColor,this.pieLegendTextSize=this.pieLegendTextSize||"17px",this.pieLegendTextColor=this.pieLegendTextColor||this.taskTextDarkColor,this.pieStrokeColor=this.pieStrokeColor||"black",this.pieStrokeWidth=this.pieStrokeWidth||"2px",this.pieOuterStrokeWidth=this.pieOuterStrokeWidth||"2px",this.pieOuterStrokeColor=this.pieOuterStrokeColor||"black",this.pieOpacity=this.pieOpacity||"0.7",this.quadrant1Fill=this.quadrant1Fill||this.primaryColor,this.quadrant2Fill=this.quadrant2Fill||l(this.primaryColor,{r:5,g:5,b:5}),this.quadrant3Fill=this.quadrant3Fill||l(this.primaryColor,{r:10,g:10,b:10}),this.quadrant4Fill=this.quadrant4Fill||l(this.primaryColor,{r:15,g:15,b:15}),this.quadrant1TextFill=this.quadrant1TextFill||this.primaryTextColor,this.quadrant2TextFill=this.quadrant2TextFill||l(this.primaryTextColor,{r:-5,g:-5,b:-5}),this.quadrant3TextFill=this.quadrant3TextFill||l(this.primaryTextColor,{r:-10,g:-10,b:-10}),this.quadrant4TextFill=this.quadrant4TextFill||l(this.primaryTextColor,{r:-15,g:-15,b:-15}),this.quadrantPointFill=this.quadrantPointFill||(0,b.Z)(this.quadrant1Fill)?(0,p.Z)(this.quadrant1Fill):(0,g.Z)(this.quadrant1Fill),this.quadrantPointTextFill=this.quadrantPointTextFill||this.primaryTextColor,this.quadrantXAxisTextFill=this.quadrantXAxisTextFill||this.primaryTextColor,this.quadrantYAxisTextFill=this.quadrantYAxisTextFill||this.primaryTextColor,this.quadrantInternalBorderStrokeFill=this.quadrantInternalBorderStrokeFill||this.primaryBorderColor,this.quadrantExternalBorderStrokeFill=this.quadrantExternalBorderStrokeFill||this.primaryBorderColor,this.quadrantTitleFill=this.quadrantTitleFill||this.primaryTextColor,this.requirementBackground=this.requirementBackground||this.primaryColor,this.requirementBorderColor=this.requirementBorderColor||this.primaryBorderColor,this.requirementBorderSize=this.requirementBorderSize||"1",this.requirementTextColor=this.requirementTextColor||this.primaryTextColor,this.relationColor=this.relationColor||this.lineColor,this.relationLabelBackground=this.relationLabelBackground||this.labelBackground,this.relationLabelColor=this.relationLabelColor||this.actorTextColor,this.git0=this.git0||this.primaryColor,this.git1=this.git1||this.secondaryColor,this.git2=this.git2||this.tertiaryColor,this.git3=this.git3||l(this.primaryColor,{h:-30}),this.git4=this.git4||l(this.primaryColor,{h:-60}),this.git5=this.git5||l(this.primaryColor,{h:-90}),this.git6=this.git6||l(this.primaryColor,{h:60}),this.git7=this.git7||l(this.primaryColor,{h:120}),this.darkMode?(this.git0=(0,p.Z)(this.git0,25),this.git1=(0,p.Z)(this.git1,25),this.git2=(0,p.Z)(this.git2,25),this.git3=(0,p.Z)(this.git3,25),this.git4=(0,p.Z)(this.git4,25),this.git5=(0,p.Z)(this.git5,25),this.git6=(0,p.Z)(this.git6,25),this.git7=(0,p.Z)(this.git7,25)):(this.git0=(0,g.Z)(this.git0,25),this.git1=(0,g.Z)(this.git1,25),this.git2=(0,g.Z)(this.git2,25),this.git3=(0,g.Z)(this.git3,25),this.git4=(0,g.Z)(this.git4,25),this.git5=(0,g.Z)(this.git5,25),this.git6=(0,g.Z)(this.git6,25),this.git7=(0,g.Z)(this.git7,25)),this.gitInv0=this.gitInv0||(0,g.Z)(d(this.git0),25),this.gitInv1=this.gitInv1||d(this.git1),this.gitInv2=this.gitInv2||d(this.git2),this.gitInv3=this.gitInv3||d(this.git3),this.gitInv4=this.gitInv4||d(this.git4),this.gitInv5=this.gitInv5||d(this.git5),this.gitInv6=this.gitInv6||d(this.git6),this.gitInv7=this.gitInv7||d(this.git7),this.gitBranchLabel0=this.gitBranchLabel0||d(this.labelTextColor),this.gitBranchLabel1=this.gitBranchLabel1||this.labelTextColor,this.gitBranchLabel2=this.gitBranchLabel2||this.labelTextColor,this.gitBranchLabel3=this.gitBranchLabel3||d(this.labelTextColor),this.gitBranchLabel4=this.gitBranchLabel4||this.labelTextColor,this.gitBranchLabel5=this.gitBranchLabel5||this.labelTextColor,this.gitBranchLabel6=this.gitBranchLabel6||this.labelTextColor,this.gitBranchLabel7=this.gitBranchLabel7||this.labelTextColor,this.tagLabelColor=this.tagLabelColor||this.primaryTextColor,this.tagLabelBackground=this.tagLabelBackground||this.primaryColor,this.tagLabelBorder=this.tagBorder||this.primaryBorderColor,this.tagLabelFontSize=this.tagLabelFontSize||"10px",this.commitLabelColor=this.commitLabelColor||this.secondaryTextColor,this.commitLabelBackground=this.commitLabelBackground||this.secondaryColor,this.commitLabelFontSize=this.commitLabelFontSize||"10px",this.attributeBackgroundColorOdd=this.attributeBackgroundColorOdd||xt,this.attributeBackgroundColorEven=this.attributeBackgroundColorEven||kt}calculate(t){if("object"!=typeof t)return void this.updateColors();const e=Object.keys(t);e.forEach((e=>{this[e]=t[e]})),this.updateColors(),e.forEach((e=>{this[e]=t[e]}))}};return e.calculate(t),e};class Et{constructor(){this.primaryColor="#eee",this.contrast="#707070",this.secondaryColor=(0,p.Z)(this.contrast,55),this.background="#ffffff",this.tertiaryColor=l(this.primaryColor,{h:-160}),this.primaryBorderColor=vt(this.primaryColor,this.darkMode),this.secondaryBorderColor=vt(this.secondaryColor,this.darkMode),this.tertiaryBorderColor=vt(this.tertiaryColor,this.darkMode),this.primaryTextColor=d(this.primaryColor),this.secondaryTextColor=d(this.secondaryColor),this.tertiaryTextColor=d(this.tertiaryColor),this.lineColor=d(this.background),this.textColor=d(this.background),this.mainBkg="#eee",this.secondBkg="calculated",this.lineColor="#666",this.border1="#999",this.border2="calculated",this.note="#ffa",this.text="#333",this.critical="#d42",this.done="#bbb",this.arrowheadColor="#333333",this.fontFamily='"trebuchet ms", verdana, arial, sans-serif',this.fontSize="16px",this.THEME_COLOR_LIMIT=12,this.nodeBkg="calculated",this.nodeBorder="calculated",this.clusterBkg="calculated",this.clusterBorder="calculated",this.defaultLinkColor="calculated",this.titleColor="calculated",this.edgeLabelBackground="white",this.actorBorder="calculated",this.actorBkg="calculated",this.actorTextColor="calculated",this.actorLineColor="calculated",this.signalColor="calculated",this.signalTextColor="calculated",this.labelBoxBkgColor="calculated",this.labelBoxBorderColor="calculated",this.labelTextColor="calculated",this.loopTextColor="calculated",this.noteBorderColor="calculated",this.noteBkgColor="calculated",this.noteTextColor="calculated",this.activationBorderColor="#666",this.activationBkgColor="#f4f4f4",this.sequenceNumberColor="white",this.sectionBkgColor="calculated",this.altSectionBkgColor="white",this.sectionBkgColor2="calculated",this.excludeBkgColor="#eeeeee",this.taskBorderColor="calculated",this.taskBkgColor="calculated",this.taskTextLightColor="white",this.taskTextColor="calculated",this.taskTextDarkColor="calculated",this.taskTextOutsideColor="calculated",this.taskTextClickableColor="#003163",this.activeTaskBorderColor="calculated",this.activeTaskBkgColor="calculated",this.gridColor="calculated",this.doneTaskBkgColor="calculated",this.doneTaskBorderColor="calculated",this.critBkgColor="calculated",this.critBorderColor="calculated",this.todayLineColor="calculated",this.personBorder=this.primaryBorderColor,this.personBkg=this.mainBkg,this.labelColor="black",this.errorBkgColor="#552222",this.errorTextColor="#552222"}updateColors(){this.secondBkg=(0,p.Z)(this.contrast,55),this.border2=this.contrast,this.actorBorder=(0,p.Z)(this.border1,23),this.actorBkg=this.mainBkg,this.actorTextColor=this.text,this.actorLineColor=this.lineColor,this.signalColor=this.text,this.signalTextColor=this.text,this.labelBoxBkgColor=this.actorBkg,this.labelBoxBorderColor=this.actorBorder,this.labelTextColor=this.text,this.loopTextColor=this.text,this.noteBorderColor="#999",this.noteBkgColor="#666",this.noteTextColor="#fff",this.cScale0=this.cScale0||"#555",this.cScale1=this.cScale1||"#F4F4F4",this.cScale2=this.cScale2||"#555",this.cScale3=this.cScale3||"#BBB",this.cScale4=this.cScale4||"#777",this.cScale5=this.cScale5||"#999",this.cScale6=this.cScale6||"#DDD",this.cScale7=this.cScale7||"#FFF",this.cScale8=this.cScale8||"#DDD",this.cScale9=this.cScale9||"#BBB",this.cScale10=this.cScale10||"#999",this.cScale11=this.cScale11||"#777";for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScaleInv"+t]=this["cScaleInv"+t]||d(this["cScale"+t]);for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this.darkMode?this["cScalePeer"+t]=this["cScalePeer"+t]||(0,p.Z)(this["cScale"+t],10):this["cScalePeer"+t]=this["cScalePeer"+t]||(0,g.Z)(this["cScale"+t],10);this.scaleLabelColor=this.scaleLabelColor||(this.darkMode?"black":this.labelTextColor),this.cScaleLabel0=this.cScaleLabel0||this.cScale1,this.cScaleLabel2=this.cScaleLabel2||this.cScale1;for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScaleLabel"+t]=this["cScaleLabel"+t]||this.scaleLabelColor;for(let t=0;t<5;t++)this["surface"+t]=this["surface"+t]||l(this.mainBkg,{l:-(5+5*t)}),this["surfacePeer"+t]=this["surfacePeer"+t]||l(this.mainBkg,{l:-(8+5*t)});this.nodeBkg=this.mainBkg,this.nodeBorder=this.border1,this.clusterBkg=this.secondBkg,this.clusterBorder=this.border2,this.defaultLinkColor=this.lineColor,this.titleColor=this.text,this.sectionBkgColor=(0,p.Z)(this.contrast,30),this.sectionBkgColor2=(0,p.Z)(this.contrast,30),this.taskBorderColor=(0,g.Z)(this.contrast,10),this.taskBkgColor=this.contrast,this.taskTextColor=this.taskTextLightColor,this.taskTextDarkColor=this.text,this.taskTextOutsideColor=this.taskTextDarkColor,this.activeTaskBorderColor=this.taskBorderColor,this.activeTaskBkgColor=this.mainBkg,this.gridColor=(0,p.Z)(this.border1,30),this.doneTaskBkgColor=this.done,this.doneTaskBorderColor=this.lineColor,this.critBkgColor=this.critical,this.critBorderColor=(0,g.Z)(this.critBkgColor,10),this.todayLineColor=this.critBkgColor,this.transitionColor=this.transitionColor||"#000",this.transitionLabelColor=this.transitionLabelColor||this.textColor,this.stateLabelColor=this.stateLabelColor||this.stateBkg||this.primaryTextColor,this.stateBkg=this.stateBkg||this.mainBkg,this.labelBackgroundColor=this.labelBackgroundColor||this.stateBkg,this.compositeBackground=this.compositeBackground||this.background||this.tertiaryColor,this.altBackground=this.altBackground||"#f4f4f4",this.compositeTitleBackground=this.compositeTitleBackground||this.mainBkg,this.stateBorder=this.stateBorder||"#000",this.innerEndBackground=this.primaryBorderColor,this.specialStateColor="#222",this.errorBkgColor=this.errorBkgColor||this.tertiaryColor,this.errorTextColor=this.errorTextColor||this.tertiaryTextColor,this.classText=this.primaryTextColor,this.fillType0=this.primaryColor,this.fillType1=this.secondaryColor,this.fillType2=l(this.primaryColor,{h:64}),this.fillType3=l(this.secondaryColor,{h:64}),this.fillType4=l(this.primaryColor,{h:-64}),this.fillType5=l(this.secondaryColor,{h:-64}),this.fillType6=l(this.primaryColor,{h:128}),this.fillType7=l(this.secondaryColor,{h:128});for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["pie"+t]=this["cScale"+t];this.pie12=this.pie0,this.pieTitleTextSize=this.pieTitleTextSize||"25px",this.pieTitleTextColor=this.pieTitleTextColor||this.taskTextDarkColor,this.pieSectionTextSize=this.pieSectionTextSize||"17px",this.pieSectionTextColor=this.pieSectionTextColor||this.textColor,this.pieLegendTextSize=this.pieLegendTextSize||"17px",this.pieLegendTextColor=this.pieLegendTextColor||this.taskTextDarkColor,this.pieStrokeColor=this.pieStrokeColor||"black",this.pieStrokeWidth=this.pieStrokeWidth||"2px",this.pieOuterStrokeWidth=this.pieOuterStrokeWidth||"2px",this.pieOuterStrokeColor=this.pieOuterStrokeColor||"black",this.pieOpacity=this.pieOpacity||"0.7",this.quadrant1Fill=this.quadrant1Fill||this.primaryColor,this.quadrant2Fill=this.quadrant2Fill||l(this.primaryColor,{r:5,g:5,b:5}),this.quadrant3Fill=this.quadrant3Fill||l(this.primaryColor,{r:10,g:10,b:10}),this.quadrant4Fill=this.quadrant4Fill||l(this.primaryColor,{r:15,g:15,b:15}),this.quadrant1TextFill=this.quadrant1TextFill||this.primaryTextColor,this.quadrant2TextFill=this.quadrant2TextFill||l(this.primaryTextColor,{r:-5,g:-5,b:-5}),this.quadrant3TextFill=this.quadrant3TextFill||l(this.primaryTextColor,{r:-10,g:-10,b:-10}),this.quadrant4TextFill=this.quadrant4TextFill||l(this.primaryTextColor,{r:-15,g:-15,b:-15}),this.quadrantPointFill=this.quadrantPointFill||(0,b.Z)(this.quadrant1Fill)?(0,p.Z)(this.quadrant1Fill):(0,g.Z)(this.quadrant1Fill),this.quadrantPointTextFill=this.quadrantPointTextFill||this.primaryTextColor,this.quadrantXAxisTextFill=this.quadrantXAxisTextFill||this.primaryTextColor,this.quadrantYAxisTextFill=this.quadrantYAxisTextFill||this.primaryTextColor,this.quadrantInternalBorderStrokeFill=this.quadrantInternalBorderStrokeFill||this.primaryBorderColor,this.quadrantExternalBorderStrokeFill=this.quadrantExternalBorderStrokeFill||this.primaryBorderColor,this.quadrantTitleFill=this.quadrantTitleFill||this.primaryTextColor,this.requirementBackground=this.requirementBackground||this.primaryColor,this.requirementBorderColor=this.requirementBorderColor||this.primaryBorderColor,this.requirementBorderSize=this.requirementBorderSize||"1",this.requirementTextColor=this.requirementTextColor||this.primaryTextColor,this.relationColor=this.relationColor||this.lineColor,this.relationLabelBackground=this.relationLabelBackground||this.edgeLabelBackground,this.relationLabelColor=this.relationLabelColor||this.actorTextColor,this.git0=(0,g.Z)(this.pie1,25)||this.primaryColor,this.git1=this.pie2||this.secondaryColor,this.git2=this.pie3||this.tertiaryColor,this.git3=this.pie4||l(this.primaryColor,{h:-30}),this.git4=this.pie5||l(this.primaryColor,{h:-60}),this.git5=this.pie6||l(this.primaryColor,{h:-90}),this.git6=this.pie7||l(this.primaryColor,{h:60}),this.git7=this.pie8||l(this.primaryColor,{h:120}),this.gitInv0=this.gitInv0||d(this.git0),this.gitInv1=this.gitInv1||d(this.git1),this.gitInv2=this.gitInv2||d(this.git2),this.gitInv3=this.gitInv3||d(this.git3),this.gitInv4=this.gitInv4||d(this.git4),this.gitInv5=this.gitInv5||d(this.git5),this.gitInv6=this.gitInv6||d(this.git6),this.gitInv7=this.gitInv7||d(this.git7),this.branchLabelColor=this.branchLabelColor||this.labelTextColor,this.gitBranchLabel0=this.branchLabelColor,this.gitBranchLabel1="white",this.gitBranchLabel2=this.branchLabelColor,this.gitBranchLabel3="white",this.gitBranchLabel4=this.branchLabelColor,this.gitBranchLabel5=this.branchLabelColor,this.gitBranchLabel6=this.branchLabelColor,this.gitBranchLabel7=this.branchLabelColor,this.tagLabelColor=this.tagLabelColor||this.primaryTextColor,this.tagLabelBackground=this.tagLabelBackground||this.primaryColor,this.tagLabelBorder=this.tagBorder||this.primaryBorderColor,this.tagLabelFontSize=this.tagLabelFontSize||"10px",this.commitLabelColor=this.commitLabelColor||this.secondaryTextColor,this.commitLabelBackground=this.commitLabelBackground||this.secondaryColor,this.commitLabelFontSize=this.commitLabelFontSize||"10px",this.attributeBackgroundColorOdd=this.attributeBackgroundColorOdd||xt,this.attributeBackgroundColorEven=this.attributeBackgroundColorEven||kt}calculate(t){if("object"!=typeof t)return void this.updateColors();const e=Object.keys(t);e.forEach((e=>{this[e]=t[e]})),this.updateColors(),e.forEach((e=>{this[e]=t[e]}))}}const Tt={base:{getThemeVariables:t=>{const e=new class{constructor(){this.background="#f4f4f4",this.primaryColor="#fff4dd",this.noteBkgColor="#fff5ad",this.noteTextColor="#333",this.THEME_COLOR_LIMIT=12,this.fontFamily='"trebuchet ms", verdana, arial, sans-serif',this.fontSize="16px"}updateColors(){if(this.primaryTextColor=this.primaryTextColor||(this.darkMode?"#eee":"#333"),this.secondaryColor=this.secondaryColor||l(this.primaryColor,{h:-120}),this.tertiaryColor=this.tertiaryColor||l(this.primaryColor,{h:180,l:5}),this.primaryBorderColor=this.primaryBorderColor||vt(this.primaryColor,this.darkMode),this.secondaryBorderColor=this.secondaryBorderColor||vt(this.secondaryColor,this.darkMode),this.tertiaryBorderColor=this.tertiaryBorderColor||vt(this.tertiaryColor,this.darkMode),this.noteBorderColor=this.noteBorderColor||vt(this.noteBkgColor,this.darkMode),this.noteBkgColor=this.noteBkgColor||"#fff5ad",this.noteTextColor=this.noteTextColor||"#333",this.secondaryTextColor=this.secondaryTextColor||d(this.secondaryColor),this.tertiaryTextColor=this.tertiaryTextColor||d(this.tertiaryColor),this.lineColor=this.lineColor||d(this.background),this.arrowheadColor=this.arrowheadColor||d(this.background),this.textColor=this.textColor||this.primaryTextColor,this.border2=this.border2||this.tertiaryBorderColor,this.nodeBkg=this.nodeBkg||this.primaryColor,this.mainBkg=this.mainBkg||this.primaryColor,this.nodeBorder=this.nodeBorder||this.primaryBorderColor,this.clusterBkg=this.clusterBkg||this.tertiaryColor,this.clusterBorder=this.clusterBorder||this.tertiaryBorderColor,this.defaultLinkColor=this.defaultLinkColor||this.lineColor,this.titleColor=this.titleColor||this.tertiaryTextColor,this.edgeLabelBackground=this.edgeLabelBackground||(this.darkMode?(0,g.Z)(this.secondaryColor,30):this.secondaryColor),this.nodeTextColor=this.nodeTextColor||this.primaryTextColor,this.actorBorder=this.actorBorder||this.primaryBorderColor,this.actorBkg=this.actorBkg||this.mainBkg,this.actorTextColor=this.actorTextColor||this.primaryTextColor,this.actorLineColor=this.actorLineColor||"grey",this.labelBoxBkgColor=this.labelBoxBkgColor||this.actorBkg,this.signalColor=this.signalColor||this.textColor,this.signalTextColor=this.signalTextColor||this.textColor,this.labelBoxBorderColor=this.labelBoxBorderColor||this.actorBorder,this.labelTextColor=this.labelTextColor||this.actorTextColor,this.loopTextColor=this.loopTextColor||this.actorTextColor,this.activationBorderColor=this.activationBorderColor||(0,g.Z)(this.secondaryColor,10),this.activationBkgColor=this.activationBkgColor||this.secondaryColor,this.sequenceNumberColor=this.sequenceNumberColor||d(this.lineColor),this.sectionBkgColor=this.sectionBkgColor||this.tertiaryColor,this.altSectionBkgColor=this.altSectionBkgColor||"white",this.sectionBkgColor=this.sectionBkgColor||this.secondaryColor,this.sectionBkgColor2=this.sectionBkgColor2||this.primaryColor,this.excludeBkgColor=this.excludeBkgColor||"#eeeeee",this.taskBorderColor=this.taskBorderColor||this.primaryBorderColor,this.taskBkgColor=this.taskBkgColor||this.primaryColor,this.activeTaskBorderColor=this.activeTaskBorderColor||this.primaryColor,this.activeTaskBkgColor=this.activeTaskBkgColor||(0,p.Z)(this.primaryColor,23),this.gridColor=this.gridColor||"lightgrey",this.doneTaskBkgColor=this.doneTaskBkgColor||"lightgrey",this.doneTaskBorderColor=this.doneTaskBorderColor||"grey",this.critBorderColor=this.critBorderColor||"#ff8888",this.critBkgColor=this.critBkgColor||"red",this.todayLineColor=this.todayLineColor||"red",this.taskTextColor=this.taskTextColor||this.textColor,this.taskTextOutsideColor=this.taskTextOutsideColor||this.textColor,this.taskTextLightColor=this.taskTextLightColor||this.textColor,this.taskTextColor=this.taskTextColor||this.primaryTextColor,this.taskTextDarkColor=this.taskTextDarkColor||this.textColor,this.taskTextClickableColor=this.taskTextClickableColor||"#003163",this.personBorder=this.personBorder||this.primaryBorderColor,this.personBkg=this.personBkg||this.mainBkg,this.transitionColor=this.transitionColor||this.lineColor,this.transitionLabelColor=this.transitionLabelColor||this.textColor,this.stateLabelColor=this.stateLabelColor||this.stateBkg||this.primaryTextColor,this.stateBkg=this.stateBkg||this.mainBkg,this.labelBackgroundColor=this.labelBackgroundColor||this.stateBkg,this.compositeBackground=this.compositeBackground||this.background||this.tertiaryColor,this.altBackground=this.altBackground||this.tertiaryColor,this.compositeTitleBackground=this.compositeTitleBackground||this.mainBkg,this.compositeBorder=this.compositeBorder||this.nodeBorder,this.innerEndBackground=this.nodeBorder,this.errorBkgColor=this.errorBkgColor||this.tertiaryColor,this.errorTextColor=this.errorTextColor||this.tertiaryTextColor,this.transitionColor=this.transitionColor||this.lineColor,this.specialStateColor=this.lineColor,this.cScale0=this.cScale0||this.primaryColor,this.cScale1=this.cScale1||this.secondaryColor,this.cScale2=this.cScale2||this.tertiaryColor,this.cScale3=this.cScale3||l(this.primaryColor,{h:30}),this.cScale4=this.cScale4||l(this.primaryColor,{h:60}),this.cScale5=this.cScale5||l(this.primaryColor,{h:90}),this.cScale6=this.cScale6||l(this.primaryColor,{h:120}),this.cScale7=this.cScale7||l(this.primaryColor,{h:150}),this.cScale8=this.cScale8||l(this.primaryColor,{h:210,l:150}),this.cScale9=this.cScale9||l(this.primaryColor,{h:270}),this.cScale10=this.cScale10||l(this.primaryColor,{h:300}),this.cScale11=this.cScale11||l(this.primaryColor,{h:330}),this.darkMode)for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScale"+t]=(0,g.Z)(this["cScale"+t],75);else for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScale"+t]=(0,g.Z)(this["cScale"+t],25);for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScaleInv"+t]=this["cScaleInv"+t]||d(this["cScale"+t]);for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this.darkMode?this["cScalePeer"+t]=this["cScalePeer"+t]||(0,p.Z)(this["cScale"+t],10):this["cScalePeer"+t]=this["cScalePeer"+t]||(0,g.Z)(this["cScale"+t],10);this.scaleLabelColor=this.scaleLabelColor||this.labelTextColor;for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScaleLabel"+t]=this["cScaleLabel"+t]||this.scaleLabelColor;const t=this.darkMode?-4:-1;for(let e=0;e<5;e++)this["surface"+e]=this["surface"+e]||l(this.mainBkg,{h:180,s:-15,l:t*(5+3*e)}),this["surfacePeer"+e]=this["surfacePeer"+e]||l(this.mainBkg,{h:180,s:-15,l:t*(8+3*e)});this.classText=this.classText||this.textColor,this.fillType0=this.fillType0||this.primaryColor,this.fillType1=this.fillType1||this.secondaryColor,this.fillType2=this.fillType2||l(this.primaryColor,{h:64}),this.fillType3=this.fillType3||l(this.secondaryColor,{h:64}),this.fillType4=this.fillType4||l(this.primaryColor,{h:-64}),this.fillType5=this.fillType5||l(this.secondaryColor,{h:-64}),this.fillType6=this.fillType6||l(this.primaryColor,{h:128}),this.fillType7=this.fillType7||l(this.secondaryColor,{h:128}),this.pie1=this.pie1||this.primaryColor,this.pie2=this.pie2||this.secondaryColor,this.pie3=this.pie3||this.tertiaryColor,this.pie4=this.pie4||l(this.primaryColor,{l:-10}),this.pie5=this.pie5||l(this.secondaryColor,{l:-10}),this.pie6=this.pie6||l(this.tertiaryColor,{l:-10}),this.pie7=this.pie7||l(this.primaryColor,{h:60,l:-10}),this.pie8=this.pie8||l(this.primaryColor,{h:-60,l:-10}),this.pie9=this.pie9||l(this.primaryColor,{h:120,l:0}),this.pie10=this.pie10||l(this.primaryColor,{h:60,l:-20}),this.pie11=this.pie11||l(this.primaryColor,{h:-60,l:-20}),this.pie12=this.pie12||l(this.primaryColor,{h:120,l:-10}),this.pieTitleTextSize=this.pieTitleTextSize||"25px",this.pieTitleTextColor=this.pieTitleTextColor||this.taskTextDarkColor,this.pieSectionTextSize=this.pieSectionTextSize||"17px",this.pieSectionTextColor=this.pieSectionTextColor||this.textColor,this.pieLegendTextSize=this.pieLegendTextSize||"17px",this.pieLegendTextColor=this.pieLegendTextColor||this.taskTextDarkColor,this.pieStrokeColor=this.pieStrokeColor||"black",this.pieStrokeWidth=this.pieStrokeWidth||"2px",this.pieOuterStrokeWidth=this.pieOuterStrokeWidth||"2px",this.pieOuterStrokeColor=this.pieOuterStrokeColor||"black",this.pieOpacity=this.pieOpacity||"0.7",this.quadrant1Fill=this.quadrant1Fill||this.primaryColor,this.quadrant2Fill=this.quadrant2Fill||l(this.primaryColor,{r:5,g:5,b:5}),this.quadrant3Fill=this.quadrant3Fill||l(this.primaryColor,{r:10,g:10,b:10}),this.quadrant4Fill=this.quadrant4Fill||l(this.primaryColor,{r:15,g:15,b:15}),this.quadrant1TextFill=this.quadrant1TextFill||this.primaryTextColor,this.quadrant2TextFill=this.quadrant2TextFill||l(this.primaryTextColor,{r:-5,g:-5,b:-5}),this.quadrant3TextFill=this.quadrant3TextFill||l(this.primaryTextColor,{r:-10,g:-10,b:-10}),this.quadrant4TextFill=this.quadrant4TextFill||l(this.primaryTextColor,{r:-15,g:-15,b:-15}),this.quadrantPointFill=this.quadrantPointFill||(0,b.Z)(this.quadrant1Fill)?(0,p.Z)(this.quadrant1Fill):(0,g.Z)(this.quadrant1Fill),this.quadrantPointTextFill=this.quadrantPointTextFill||this.primaryTextColor,this.quadrantXAxisTextFill=this.quadrantXAxisTextFill||this.primaryTextColor,this.quadrantYAxisTextFill=this.quadrantYAxisTextFill||this.primaryTextColor,this.quadrantInternalBorderStrokeFill=this.quadrantInternalBorderStrokeFill||this.primaryBorderColor,this.quadrantExternalBorderStrokeFill=this.quadrantExternalBorderStrokeFill||this.primaryBorderColor,this.quadrantTitleFill=this.quadrantTitleFill||this.primaryTextColor,this.requirementBackground=this.requirementBackground||this.primaryColor,this.requirementBorderColor=this.requirementBorderColor||this.primaryBorderColor,this.requirementBorderSize=this.requirementBorderSize||"1",this.requirementTextColor=this.requirementTextColor||this.primaryTextColor,this.relationColor=this.relationColor||this.lineColor,this.relationLabelBackground=this.relationLabelBackground||(this.darkMode?(0,g.Z)(this.secondaryColor,30):this.secondaryColor),this.relationLabelColor=this.relationLabelColor||this.actorTextColor,this.git0=this.git0||this.primaryColor,this.git1=this.git1||this.secondaryColor,this.git2=this.git2||this.tertiaryColor,this.git3=this.git3||l(this.primaryColor,{h:-30}),this.git4=this.git4||l(this.primaryColor,{h:-60}),this.git5=this.git5||l(this.primaryColor,{h:-90}),this.git6=this.git6||l(this.primaryColor,{h:60}),this.git7=this.git7||l(this.primaryColor,{h:120}),this.darkMode?(this.git0=(0,p.Z)(this.git0,25),this.git1=(0,p.Z)(this.git1,25),this.git2=(0,p.Z)(this.git2,25),this.git3=(0,p.Z)(this.git3,25),this.git4=(0,p.Z)(this.git4,25),this.git5=(0,p.Z)(this.git5,25),this.git6=(0,p.Z)(this.git6,25),this.git7=(0,p.Z)(this.git7,25)):(this.git0=(0,g.Z)(this.git0,25),this.git1=(0,g.Z)(this.git1,25),this.git2=(0,g.Z)(this.git2,25),this.git3=(0,g.Z)(this.git3,25),this.git4=(0,g.Z)(this.git4,25),this.git5=(0,g.Z)(this.git5,25),this.git6=(0,g.Z)(this.git6,25),this.git7=(0,g.Z)(this.git7,25)),this.gitInv0=this.gitInv0||d(this.git0),this.gitInv1=this.gitInv1||d(this.git1),this.gitInv2=this.gitInv2||d(this.git2),this.gitInv3=this.gitInv3||d(this.git3),this.gitInv4=this.gitInv4||d(this.git4),this.gitInv5=this.gitInv5||d(this.git5),this.gitInv6=this.gitInv6||d(this.git6),this.gitInv7=this.gitInv7||d(this.git7),this.branchLabelColor=this.branchLabelColor||(this.darkMode?"black":this.labelTextColor),this.gitBranchLabel0=this.gitBranchLabel0||this.branchLabelColor,this.gitBranchLabel1=this.gitBranchLabel1||this.branchLabelColor,this.gitBranchLabel2=this.gitBranchLabel2||this.branchLabelColor,this.gitBranchLabel3=this.gitBranchLabel3||this.branchLabelColor,this.gitBranchLabel4=this.gitBranchLabel4||this.branchLabelColor,this.gitBranchLabel5=this.gitBranchLabel5||this.branchLabelColor,this.gitBranchLabel6=this.gitBranchLabel6||this.branchLabelColor,this.gitBranchLabel7=this.gitBranchLabel7||this.branchLabelColor,this.tagLabelColor=this.tagLabelColor||this.primaryTextColor,this.tagLabelBackground=this.tagLabelBackground||this.primaryColor,this.tagLabelBorder=this.tagBorder||this.primaryBorderColor,this.tagLabelFontSize=this.tagLabelFontSize||"10px",this.commitLabelColor=this.commitLabelColor||this.secondaryTextColor,this.commitLabelBackground=this.commitLabelBackground||this.secondaryColor,this.commitLabelFontSize=this.commitLabelFontSize||"10px",this.attributeBackgroundColorOdd=this.attributeBackgroundColorOdd||xt,this.attributeBackgroundColorEven=this.attributeBackgroundColorEven||kt}calculate(t){if("object"!=typeof t)return void this.updateColors();const e=Object.keys(t);e.forEach((e=>{this[e]=t[e]})),this.updateColors(),e.forEach((e=>{this[e]=t[e]}))}};return e.calculate(t),e}},dark:{getThemeVariables:t=>{const e=new class{constructor(){this.background="#333",this.primaryColor="#1f2020",this.secondaryColor=(0,p.Z)(this.primaryColor,16),this.tertiaryColor=l(this.primaryColor,{h:-160}),this.primaryBorderColor=d(this.background),this.secondaryBorderColor=vt(this.secondaryColor,this.darkMode),this.tertiaryBorderColor=vt(this.tertiaryColor,this.darkMode),this.primaryTextColor=d(this.primaryColor),this.secondaryTextColor=d(this.secondaryColor),this.tertiaryTextColor=d(this.tertiaryColor),this.lineColor=d(this.background),this.textColor=d(this.background),this.mainBkg="#1f2020",this.secondBkg="calculated",this.mainContrastColor="lightgrey",this.darkTextColor=(0,p.Z)(d("#323D47"),10),this.lineColor="calculated",this.border1="#81B1DB",this.border2=(0,h.Z)(255,255,255,.25),this.arrowheadColor="calculated",this.fontFamily='"trebuchet ms", verdana, arial, sans-serif',this.fontSize="16px",this.labelBackground="#181818",this.textColor="#ccc",this.THEME_COLOR_LIMIT=12,this.nodeBkg="calculated",this.nodeBorder="calculated",this.clusterBkg="calculated",this.clusterBorder="calculated",this.defaultLinkColor="calculated",this.titleColor="#F9FFFE",this.edgeLabelBackground="calculated",this.actorBorder="calculated",this.actorBkg="calculated",this.actorTextColor="calculated",this.actorLineColor="calculated",this.signalColor="calculated",this.signalTextColor="calculated",this.labelBoxBkgColor="calculated",this.labelBoxBorderColor="calculated",this.labelTextColor="calculated",this.loopTextColor="calculated",this.noteBorderColor="calculated",this.noteBkgColor="#fff5ad",this.noteTextColor="calculated",this.activationBorderColor="calculated",this.activationBkgColor="calculated",this.sequenceNumberColor="black",this.sectionBkgColor=(0,g.Z)("#EAE8D9",30),this.altSectionBkgColor="calculated",this.sectionBkgColor2="#EAE8D9",this.excludeBkgColor=(0,g.Z)(this.sectionBkgColor,10),this.taskBorderColor=(0,h.Z)(255,255,255,70),this.taskBkgColor="calculated",this.taskTextColor="calculated",this.taskTextLightColor="calculated",this.taskTextOutsideColor="calculated",this.taskTextClickableColor="#003163",this.activeTaskBorderColor=(0,h.Z)(255,255,255,50),this.activeTaskBkgColor="#81B1DB",this.gridColor="calculated",this.doneTaskBkgColor="calculated",this.doneTaskBorderColor="grey",this.critBorderColor="#E83737",this.critBkgColor="#E83737",this.taskTextDarkColor="calculated",this.todayLineColor="#DB5757",this.personBorder=this.primaryBorderColor,this.personBkg=this.mainBkg,this.labelColor="calculated",this.errorBkgColor="#a44141",this.errorTextColor="#ddd"}updateColors(){this.secondBkg=(0,p.Z)(this.mainBkg,16),this.lineColor=this.mainContrastColor,this.arrowheadColor=this.mainContrastColor,this.nodeBkg=this.mainBkg,this.nodeBorder=this.border1,this.clusterBkg=this.secondBkg,this.clusterBorder=this.border2,this.defaultLinkColor=this.lineColor,this.edgeLabelBackground=(0,p.Z)(this.labelBackground,25),this.actorBorder=this.border1,this.actorBkg=this.mainBkg,this.actorTextColor=this.mainContrastColor,this.actorLineColor=this.mainContrastColor,this.signalColor=this.mainContrastColor,this.signalTextColor=this.mainContrastColor,this.labelBoxBkgColor=this.actorBkg,this.labelBoxBorderColor=this.actorBorder,this.labelTextColor=this.mainContrastColor,this.loopTextColor=this.mainContrastColor,this.noteBorderColor=this.secondaryBorderColor,this.noteBkgColor=this.secondBkg,this.noteTextColor=this.secondaryTextColor,this.activationBorderColor=this.border1,this.activationBkgColor=this.secondBkg,this.altSectionBkgColor=this.background,this.taskBkgColor=(0,p.Z)(this.mainBkg,23),this.taskTextColor=this.darkTextColor,this.taskTextLightColor=this.mainContrastColor,this.taskTextOutsideColor=this.taskTextLightColor,this.gridColor=this.mainContrastColor,this.doneTaskBkgColor=this.mainContrastColor,this.taskTextDarkColor=this.darkTextColor,this.transitionColor=this.transitionColor||this.lineColor,this.transitionLabelColor=this.transitionLabelColor||this.textColor,this.stateLabelColor=this.stateLabelColor||this.stateBkg||this.primaryTextColor,this.stateBkg=this.stateBkg||this.mainBkg,this.labelBackgroundColor=this.labelBackgroundColor||this.stateBkg,this.compositeBackground=this.compositeBackground||this.background||this.tertiaryColor,this.altBackground=this.altBackground||"#555",this.compositeTitleBackground=this.compositeTitleBackground||this.mainBkg,this.compositeBorder=this.compositeBorder||this.nodeBorder,this.innerEndBackground=this.primaryBorderColor,this.specialStateColor="#f4f4f4",this.errorBkgColor=this.errorBkgColor||this.tertiaryColor,this.errorTextColor=this.errorTextColor||this.tertiaryTextColor,this.fillType0=this.primaryColor,this.fillType1=this.secondaryColor,this.fillType2=l(this.primaryColor,{h:64}),this.fillType3=l(this.secondaryColor,{h:64}),this.fillType4=l(this.primaryColor,{h:-64}),this.fillType5=l(this.secondaryColor,{h:-64}),this.fillType6=l(this.primaryColor,{h:128}),this.fillType7=l(this.secondaryColor,{h:128}),this.cScale1=this.cScale1||"#0b0000",this.cScale2=this.cScale2||"#4d1037",this.cScale3=this.cScale3||"#3f5258",this.cScale4=this.cScale4||"#4f2f1b",this.cScale5=this.cScale5||"#6e0a0a",this.cScale6=this.cScale6||"#3b0048",this.cScale7=this.cScale7||"#995a01",this.cScale8=this.cScale8||"#154706",this.cScale9=this.cScale9||"#161722",this.cScale10=this.cScale10||"#00296f",this.cScale11=this.cScale11||"#01629c",this.cScale12=this.cScale12||"#010029",this.cScale0=this.cScale0||this.primaryColor,this.cScale1=this.cScale1||this.secondaryColor,this.cScale2=this.cScale2||this.tertiaryColor,this.cScale3=this.cScale3||l(this.primaryColor,{h:30}),this.cScale4=this.cScale4||l(this.primaryColor,{h:60}),this.cScale5=this.cScale5||l(this.primaryColor,{h:90}),this.cScale6=this.cScale6||l(this.primaryColor,{h:120}),this.cScale7=this.cScale7||l(this.primaryColor,{h:150}),this.cScale8=this.cScale8||l(this.primaryColor,{h:210}),this.cScale9=this.cScale9||l(this.primaryColor,{h:270}),this.cScale10=this.cScale10||l(this.primaryColor,{h:300}),this.cScale11=this.cScale11||l(this.primaryColor,{h:330});for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScaleInv"+t]=this["cScaleInv"+t]||d(this["cScale"+t]);for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScalePeer"+t]=this["cScalePeer"+t]||(0,p.Z)(this["cScale"+t],10);for(let t=0;t<5;t++)this["surface"+t]=this["surface"+t]||l(this.mainBkg,{h:30,s:-30,l:-(4*t-10)}),this["surfacePeer"+t]=this["surfacePeer"+t]||l(this.mainBkg,{h:30,s:-30,l:-(4*t-7)});this.scaleLabelColor=this.scaleLabelColor||(this.darkMode?"black":this.labelTextColor);for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScaleLabel"+t]=this["cScaleLabel"+t]||this.scaleLabelColor;for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["pie"+t]=this["cScale"+t];this.pieTitleTextSize=this.pieTitleTextSize||"25px",this.pieTitleTextColor=this.pieTitleTextColor||this.taskTextDarkColor,this.pieSectionTextSize=this.pieSectionTextSize||"17px",this.pieSectionTextColor=this.pieSectionTextColor||this.textColor,this.pieLegendTextSize=this.pieLegendTextSize||"17px",this.pieLegendTextColor=this.pieLegendTextColor||this.taskTextDarkColor,this.pieStrokeColor=this.pieStrokeColor||"black",this.pieStrokeWidth=this.pieStrokeWidth||"2px",this.pieOuterStrokeWidth=this.pieOuterStrokeWidth||"2px",this.pieOuterStrokeColor=this.pieOuterStrokeColor||"black",this.pieOpacity=this.pieOpacity||"0.7",this.quadrant1Fill=this.quadrant1Fill||this.primaryColor,this.quadrant2Fill=this.quadrant2Fill||l(this.primaryColor,{r:5,g:5,b:5}),this.quadrant3Fill=this.quadrant3Fill||l(this.primaryColor,{r:10,g:10,b:10}),this.quadrant4Fill=this.quadrant4Fill||l(this.primaryColor,{r:15,g:15,b:15}),this.quadrant1TextFill=this.quadrant1TextFill||this.primaryTextColor,this.quadrant2TextFill=this.quadrant2TextFill||l(this.primaryTextColor,{r:-5,g:-5,b:-5}),this.quadrant3TextFill=this.quadrant3TextFill||l(this.primaryTextColor,{r:-10,g:-10,b:-10}),this.quadrant4TextFill=this.quadrant4TextFill||l(this.primaryTextColor,{r:-15,g:-15,b:-15}),this.quadrantPointFill=this.quadrantPointFill||(0,b.Z)(this.quadrant1Fill)?(0,p.Z)(this.quadrant1Fill):(0,g.Z)(this.quadrant1Fill),this.quadrantPointTextFill=this.quadrantPointTextFill||this.primaryTextColor,this.quadrantXAxisTextFill=this.quadrantXAxisTextFill||this.primaryTextColor,this.quadrantYAxisTextFill=this.quadrantYAxisTextFill||this.primaryTextColor,this.quadrantInternalBorderStrokeFill=this.quadrantInternalBorderStrokeFill||this.primaryBorderColor,this.quadrantExternalBorderStrokeFill=this.quadrantExternalBorderStrokeFill||this.primaryBorderColor,this.quadrantTitleFill=this.quadrantTitleFill||this.primaryTextColor,this.classText=this.primaryTextColor,this.requirementBackground=this.requirementBackground||this.primaryColor,this.requirementBorderColor=this.requirementBorderColor||this.primaryBorderColor,this.requirementBorderSize=this.requirementBorderSize||"1",this.requirementTextColor=this.requirementTextColor||this.primaryTextColor,this.relationColor=this.relationColor||this.lineColor,this.relationLabelBackground=this.relationLabelBackground||(this.darkMode?(0,g.Z)(this.secondaryColor,30):this.secondaryColor),this.relationLabelColor=this.relationLabelColor||this.actorTextColor,this.git0=(0,p.Z)(this.secondaryColor,20),this.git1=(0,p.Z)(this.pie2||this.secondaryColor,20),this.git2=(0,p.Z)(this.pie3||this.tertiaryColor,20),this.git3=(0,p.Z)(this.pie4||l(this.primaryColor,{h:-30}),20),this.git4=(0,p.Z)(this.pie5||l(this.primaryColor,{h:-60}),20),this.git5=(0,p.Z)(this.pie6||l(this.primaryColor,{h:-90}),10),this.git6=(0,p.Z)(this.pie7||l(this.primaryColor,{h:60}),10),this.git7=(0,p.Z)(this.pie8||l(this.primaryColor,{h:120}),20),this.gitInv0=this.gitInv0||d(this.git0),this.gitInv1=this.gitInv1||d(this.git1),this.gitInv2=this.gitInv2||d(this.git2),this.gitInv3=this.gitInv3||d(this.git3),this.gitInv4=this.gitInv4||d(this.git4),this.gitInv5=this.gitInv5||d(this.git5),this.gitInv6=this.gitInv6||d(this.git6),this.gitInv7=this.gitInv7||d(this.git7),this.gitBranchLabel0=this.gitBranchLabel0||d(this.labelTextColor),this.gitBranchLabel1=this.gitBranchLabel1||this.labelTextColor,this.gitBranchLabel2=this.gitBranchLabel2||this.labelTextColor,this.gitBranchLabel3=this.gitBranchLabel3||d(this.labelTextColor),this.gitBranchLabel4=this.gitBranchLabel4||this.labelTextColor,this.gitBranchLabel5=this.gitBranchLabel5||this.labelTextColor,this.gitBranchLabel6=this.gitBranchLabel6||this.labelTextColor,this.gitBranchLabel7=this.gitBranchLabel7||this.labelTextColor,this.tagLabelColor=this.tagLabelColor||this.primaryTextColor,this.tagLabelBackground=this.tagLabelBackground||this.primaryColor,this.tagLabelBorder=this.tagBorder||this.primaryBorderColor,this.tagLabelFontSize=this.tagLabelFontSize||"10px",this.commitLabelColor=this.commitLabelColor||this.secondaryTextColor,this.commitLabelBackground=this.commitLabelBackground||this.secondaryColor,this.commitLabelFontSize=this.commitLabelFontSize||"10px",this.attributeBackgroundColorOdd=this.attributeBackgroundColorOdd||(0,p.Z)(this.background,12),this.attributeBackgroundColorEven=this.attributeBackgroundColorEven||(0,p.Z)(this.background,2)}calculate(t){if("object"!=typeof t)return void this.updateColors();const e=Object.keys(t);e.forEach((e=>{this[e]=t[e]})),this.updateColors(),e.forEach((e=>{this[e]=t[e]}))}};return e.calculate(t),e}},default:{getThemeVariables:_t},forest:{getThemeVariables:t=>{const e=new class{constructor(){this.background="#f4f4f4",this.primaryColor="#cde498",this.secondaryColor="#cdffb2",this.background="white",this.mainBkg="#cde498",this.secondBkg="#cdffb2",this.lineColor="green",this.border1="#13540c",this.border2="#6eaa49",this.arrowheadColor="green",this.fontFamily='"trebuchet ms", verdana, arial, sans-serif',this.fontSize="16px",this.tertiaryColor=(0,p.Z)("#cde498",10),this.primaryBorderColor=vt(this.primaryColor,this.darkMode),this.secondaryBorderColor=vt(this.secondaryColor,this.darkMode),this.tertiaryBorderColor=vt(this.tertiaryColor,this.darkMode),this.primaryTextColor=d(this.primaryColor),this.secondaryTextColor=d(this.secondaryColor),this.tertiaryTextColor=d(this.primaryColor),this.lineColor=d(this.background),this.textColor=d(this.background),this.THEME_COLOR_LIMIT=12,this.nodeBkg="calculated",this.nodeBorder="calculated",this.clusterBkg="calculated",this.clusterBorder="calculated",this.defaultLinkColor="calculated",this.titleColor="#333",this.edgeLabelBackground="#e8e8e8",this.actorBorder="calculated",this.actorBkg="calculated",this.actorTextColor="black",this.actorLineColor="grey",this.signalColor="#333",this.signalTextColor="#333",this.labelBoxBkgColor="calculated",this.labelBoxBorderColor="#326932",this.labelTextColor="calculated",this.loopTextColor="calculated",this.noteBorderColor="calculated",this.noteBkgColor="#fff5ad",this.noteTextColor="calculated",this.activationBorderColor="#666",this.activationBkgColor="#f4f4f4",this.sequenceNumberColor="white",this.sectionBkgColor="#6eaa49",this.altSectionBkgColor="white",this.sectionBkgColor2="#6eaa49",this.excludeBkgColor="#eeeeee",this.taskBorderColor="calculated",this.taskBkgColor="#487e3a",this.taskTextLightColor="white",this.taskTextColor="calculated",this.taskTextDarkColor="black",this.taskTextOutsideColor="calculated",this.taskTextClickableColor="#003163",this.activeTaskBorderColor="calculated",this.activeTaskBkgColor="calculated",this.gridColor="lightgrey",this.doneTaskBkgColor="lightgrey",this.doneTaskBorderColor="grey",this.critBorderColor="#ff8888",this.critBkgColor="red",this.todayLineColor="red",this.personBorder=this.primaryBorderColor,this.personBkg=this.mainBkg,this.labelColor="black",this.errorBkgColor="#552222",this.errorTextColor="#552222"}updateColors(){this.actorBorder=(0,g.Z)(this.mainBkg,20),this.actorBkg=this.mainBkg,this.labelBoxBkgColor=this.actorBkg,this.labelTextColor=this.actorTextColor,this.loopTextColor=this.actorTextColor,this.noteBorderColor=this.border2,this.noteTextColor=this.actorTextColor,this.cScale0=this.cScale0||this.primaryColor,this.cScale1=this.cScale1||this.secondaryColor,this.cScale2=this.cScale2||this.tertiaryColor,this.cScale3=this.cScale3||l(this.primaryColor,{h:30}),this.cScale4=this.cScale4||l(this.primaryColor,{h:60}),this.cScale5=this.cScale5||l(this.primaryColor,{h:90}),this.cScale6=this.cScale6||l(this.primaryColor,{h:120}),this.cScale7=this.cScale7||l(this.primaryColor,{h:150}),this.cScale8=this.cScale8||l(this.primaryColor,{h:210}),this.cScale9=this.cScale9||l(this.primaryColor,{h:270}),this.cScale10=this.cScale10||l(this.primaryColor,{h:300}),this.cScale11=this.cScale11||l(this.primaryColor,{h:330}),this.cScalePeer1=this.cScalePeer1||(0,g.Z)(this.secondaryColor,45),this.cScalePeer2=this.cScalePeer2||(0,g.Z)(this.tertiaryColor,40);for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScale"+t]=(0,g.Z)(this["cScale"+t],10),this["cScalePeer"+t]=this["cScalePeer"+t]||(0,g.Z)(this["cScale"+t],25);for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScaleInv"+t]=this["cScaleInv"+t]||l(this["cScale"+t],{h:180});this.scaleLabelColor="calculated"!==this.scaleLabelColor&&this.scaleLabelColor?this.scaleLabelColor:this.labelTextColor;for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScaleLabel"+t]=this["cScaleLabel"+t]||this.scaleLabelColor;for(let t=0;t<5;t++)this["surface"+t]=this["surface"+t]||l(this.mainBkg,{h:30,s:-30,l:-(5+5*t)}),this["surfacePeer"+t]=this["surfacePeer"+t]||l(this.mainBkg,{h:30,s:-30,l:-(8+5*t)});this.nodeBkg=this.mainBkg,this.nodeBorder=this.border1,this.clusterBkg=this.secondBkg,this.clusterBorder=this.border2,this.defaultLinkColor=this.lineColor,this.taskBorderColor=this.border1,this.taskTextColor=this.taskTextLightColor,this.taskTextOutsideColor=this.taskTextDarkColor,this.activeTaskBorderColor=this.taskBorderColor,this.activeTaskBkgColor=this.mainBkg,this.transitionColor=this.transitionColor||this.lineColor,this.transitionLabelColor=this.transitionLabelColor||this.textColor,this.stateLabelColor=this.stateLabelColor||this.stateBkg||this.primaryTextColor,this.stateBkg=this.stateBkg||this.mainBkg,this.labelBackgroundColor=this.labelBackgroundColor||this.stateBkg,this.compositeBackground=this.compositeBackground||this.background||this.tertiaryColor,this.altBackground=this.altBackground||"#f0f0f0",this.compositeTitleBackground=this.compositeTitleBackground||this.mainBkg,this.compositeBorder=this.compositeBorder||this.nodeBorder,this.innerEndBackground=this.primaryBorderColor,this.specialStateColor=this.lineColor,this.errorBkgColor=this.errorBkgColor||this.tertiaryColor,this.errorTextColor=this.errorTextColor||this.tertiaryTextColor,this.transitionColor=this.transitionColor||this.lineColor,this.classText=this.primaryTextColor,this.fillType0=this.primaryColor,this.fillType1=this.secondaryColor,this.fillType2=l(this.primaryColor,{h:64}),this.fillType3=l(this.secondaryColor,{h:64}),this.fillType4=l(this.primaryColor,{h:-64}),this.fillType5=l(this.secondaryColor,{h:-64}),this.fillType6=l(this.primaryColor,{h:128}),this.fillType7=l(this.secondaryColor,{h:128}),this.pie1=this.pie1||this.primaryColor,this.pie2=this.pie2||this.secondaryColor,this.pie3=this.pie3||this.tertiaryColor,this.pie4=this.pie4||l(this.primaryColor,{l:-30}),this.pie5=this.pie5||l(this.secondaryColor,{l:-30}),this.pie6=this.pie6||l(this.tertiaryColor,{h:40,l:-40}),this.pie7=this.pie7||l(this.primaryColor,{h:60,l:-10}),this.pie8=this.pie8||l(this.primaryColor,{h:-60,l:-10}),this.pie9=this.pie9||l(this.primaryColor,{h:120,l:0}),this.pie10=this.pie10||l(this.primaryColor,{h:60,l:-50}),this.pie11=this.pie11||l(this.primaryColor,{h:-60,l:-50}),this.pie12=this.pie12||l(this.primaryColor,{h:120,l:-50}),this.pieTitleTextSize=this.pieTitleTextSize||"25px",this.pieTitleTextColor=this.pieTitleTextColor||this.taskTextDarkColor,this.pieSectionTextSize=this.pieSectionTextSize||"17px",this.pieSectionTextColor=this.pieSectionTextColor||this.textColor,this.pieLegendTextSize=this.pieLegendTextSize||"17px",this.pieLegendTextColor=this.pieLegendTextColor||this.taskTextDarkColor,this.pieStrokeColor=this.pieStrokeColor||"black",this.pieStrokeWidth=this.pieStrokeWidth||"2px",this.pieOuterStrokeWidth=this.pieOuterStrokeWidth||"2px",this.pieOuterStrokeColor=this.pieOuterStrokeColor||"black",this.pieOpacity=this.pieOpacity||"0.7",this.quadrant1Fill=this.quadrant1Fill||this.primaryColor,this.quadrant2Fill=this.quadrant2Fill||l(this.primaryColor,{r:5,g:5,b:5}),this.quadrant3Fill=this.quadrant3Fill||l(this.primaryColor,{r:10,g:10,b:10}),this.quadrant4Fill=this.quadrant4Fill||l(this.primaryColor,{r:15,g:15,b:15}),this.quadrant1TextFill=this.quadrant1TextFill||this.primaryTextColor,this.quadrant2TextFill=this.quadrant2TextFill||l(this.primaryTextColor,{r:-5,g:-5,b:-5}),this.quadrant3TextFill=this.quadrant3TextFill||l(this.primaryTextColor,{r:-10,g:-10,b:-10}),this.quadrant4TextFill=this.quadrant4TextFill||l(this.primaryTextColor,{r:-15,g:-15,b:-15}),this.quadrantPointFill=this.quadrantPointFill||(0,b.Z)(this.quadrant1Fill)?(0,p.Z)(this.quadrant1Fill):(0,g.Z)(this.quadrant1Fill),this.quadrantPointTextFill=this.quadrantPointTextFill||this.primaryTextColor,this.quadrantXAxisTextFill=this.quadrantXAxisTextFill||this.primaryTextColor,this.quadrantYAxisTextFill=this.quadrantYAxisTextFill||this.primaryTextColor,this.quadrantInternalBorderStrokeFill=this.quadrantInternalBorderStrokeFill||this.primaryBorderColor,this.quadrantExternalBorderStrokeFill=this.quadrantExternalBorderStrokeFill||this.primaryBorderColor,this.quadrantTitleFill=this.quadrantTitleFill||this.primaryTextColor,this.requirementBackground=this.requirementBackground||this.primaryColor,this.requirementBorderColor=this.requirementBorderColor||this.primaryBorderColor,this.requirementBorderSize=this.requirementBorderSize||"1",this.requirementTextColor=this.requirementTextColor||this.primaryTextColor,this.relationColor=this.relationColor||this.lineColor,this.relationLabelBackground=this.relationLabelBackground||this.edgeLabelBackground,this.relationLabelColor=this.relationLabelColor||this.actorTextColor,this.git0=this.git0||this.primaryColor,this.git1=this.git1||this.secondaryColor,this.git2=this.git2||this.tertiaryColor,this.git3=this.git3||l(this.primaryColor,{h:-30}),this.git4=this.git4||l(this.primaryColor,{h:-60}),this.git5=this.git5||l(this.primaryColor,{h:-90}),this.git6=this.git6||l(this.primaryColor,{h:60}),this.git7=this.git7||l(this.primaryColor,{h:120}),this.darkMode?(this.git0=(0,p.Z)(this.git0,25),this.git1=(0,p.Z)(this.git1,25),this.git2=(0,p.Z)(this.git2,25),this.git3=(0,p.Z)(this.git3,25),this.git4=(0,p.Z)(this.git4,25),this.git5=(0,p.Z)(this.git5,25),this.git6=(0,p.Z)(this.git6,25),this.git7=(0,p.Z)(this.git7,25)):(this.git0=(0,g.Z)(this.git0,25),this.git1=(0,g.Z)(this.git1,25),this.git2=(0,g.Z)(this.git2,25),this.git3=(0,g.Z)(this.git3,25),this.git4=(0,g.Z)(this.git4,25),this.git5=(0,g.Z)(this.git5,25),this.git6=(0,g.Z)(this.git6,25),this.git7=(0,g.Z)(this.git7,25)),this.gitInv0=this.gitInv0||d(this.git0),this.gitInv1=this.gitInv1||d(this.git1),this.gitInv2=this.gitInv2||d(this.git2),this.gitInv3=this.gitInv3||d(this.git3),this.gitInv4=this.gitInv4||d(this.git4),this.gitInv5=this.gitInv5||d(this.git5),this.gitInv6=this.gitInv6||d(this.git6),this.gitInv7=this.gitInv7||d(this.git7),this.gitBranchLabel0=this.gitBranchLabel0||d(this.labelTextColor),this.gitBranchLabel1=this.gitBranchLabel1||this.labelTextColor,this.gitBranchLabel2=this.gitBranchLabel2||this.labelTextColor,this.gitBranchLabel3=this.gitBranchLabel3||d(this.labelTextColor),this.gitBranchLabel4=this.gitBranchLabel4||this.labelTextColor,this.gitBranchLabel5=this.gitBranchLabel5||this.labelTextColor,this.gitBranchLabel6=this.gitBranchLabel6||this.labelTextColor,this.gitBranchLabel7=this.gitBranchLabel7||this.labelTextColor,this.tagLabelColor=this.tagLabelColor||this.primaryTextColor,this.tagLabelBackground=this.tagLabelBackground||this.primaryColor,this.tagLabelBorder=this.tagBorder||this.primaryBorderColor,this.tagLabelFontSize=this.tagLabelFontSize||"10px",this.commitLabelColor=this.commitLabelColor||this.secondaryTextColor,this.commitLabelBackground=this.commitLabelBackground||this.secondaryColor,this.commitLabelFontSize=this.commitLabelFontSize||"10px",this.attributeBackgroundColorOdd=this.attributeBackgroundColorOdd||xt,this.attributeBackgroundColorEven=this.attributeBackgroundColorEven||kt}calculate(t){if("object"!=typeof t)return void this.updateColors();const e=Object.keys(t);e.forEach((e=>{this[e]=t[e]})),this.updateColors(),e.forEach((e=>{this[e]=t[e]}))}};return e.calculate(t),e}},neutral:{getThemeVariables:t=>{const e=new Et;return e.calculate(t),e}}},Ct={flowchart:{useMaxWidth:!0,titleTopMargin:25,diagramPadding:8,htmlLabels:!0,nodeSpacing:50,rankSpacing:50,curve:"basis",padding:15,defaultRenderer:"dagre-wrapper",wrappingWidth:200},sequence:{useMaxWidth:!0,hideUnusedParticipants:!1,activationWidth:10,diagramMarginX:50,diagramMarginY:10,actorMargin:50,width:150,height:65,boxMargin:10,boxTextMargin:5,noteMargin:10,messageMargin:35,messageAlign:"center",mirrorActors:!0,forceMenus:!1,bottomMarginAdj:1,rightAngles:!1,showSequenceNumbers:!1,actorFontSize:14,actorFontFamily:'"Open Sans", sans-serif',actorFontWeight:400,noteFontSize:14,noteFontFamily:'"trebuchet ms", verdana, arial, sans-serif',noteFontWeight:400,noteAlign:"center",messageFontSize:16,messageFontFamily:'"trebuchet ms", verdana, arial, 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s=a.length-1;switch(r){case 4:i.setShowData(!0);break;case 7:this.$=a[s-1];break;case 9:i.addSection(a[s-1],i.cleanupValue(a[s]));break;case 10:this.$=a[s].trim(),i.setDiagramTitle(this.$);break;case 11:this.$=a[s].trim(),i.setAccTitle(this.$);break;case 12:case 13:this.$=a[s].trim(),i.setAccDescription(this.$);break;case 14:i.addSection(a[s].substr(8)),this.$=a[s].substr(8);break;case 21:i.parseDirective("%%{","open_directive");break;case 22:i.parseDirective(a[s],"type_directive");break;case 23:a[s]=a[s].trim().replace(/'/g,'"'),i.parseDirective(a[s],"arg_directive");break;case 24:i.parseDirective("}%%","close_directive","pie")}},table:[{3:1,4:2,5:3,6:e,21:8,26:n,27:i,28:r,29:a},{1:[3]},{3:10,4:2,5:3,6:e,21:8,26:n,27:i,28:r,29:a},{3:11,4:2,5:3,6:e,21:8,26:n,27:i,28:r,29:a},t(o,s,{7:12,8:[1,13]}),t(c,[2,18]),t(c,[2,19]),t(c,[2,20]),{22:14,30:[1,15]},{30:[2,21]},{1:[2,1]},{1:[2,2]},t(u,l,{21:8,9:16,10:17,5:24,1:[2,3],11:h,13:f,15:d,17:g,19:p,20:b,29:a}),t(o,s,{7:25}),{23:26,24:[1,27],32:w},t([24,32],[2,22]),t(o,[2,6]),{4:29,26:n,27:i,28:r},{12:[1,30]},{14:[1,31]},{16:[1,32]},{18:[1,33]},t(u,[2,13]),t(u,[2,14]),t(u,[2,15]),t(u,l,{21:8,9:16,10:17,5:24,1:[2,4],11:h,13:f,15:d,17:g,19:p,20:b,29:a}),t(y,[2,16]),{25:34,31:[1,35]},t(y,[2,24]),t(o,[2,7]),t(u,[2,9]),t(u,[2,10]),t(u,[2,11]),t(u,[2,12]),{23:36,32:w},{32:[2,23]},t(y,[2,17])],defaultActions:{9:[2,21],10:[2,1],11:[2,2],35:[2,23]},parseError:function(t,e){if(!e.recoverable){var n=new Error(t);throw n.hash=e,n}this.trace(t)},parse:function(t){var e=this,n=[0],i=[],r=[null],a=[],o=this.table,s="",c=0,u=0,l=2,h=1,f=a.slice.call(arguments,1),d=Object.create(this.lexer),g={yy:{}};for(var p in this.yy)Object.prototype.hasOwnProperty.call(this.yy,p)&&(g.yy[p]=this.yy[p]);d.setInput(t,g.yy),g.yy.lexer=d,g.yy.parser=this,void 0===d.yylloc&&(d.yylloc={});var b=d.yylloc;a.push(b);var w=d.options&&d.options.ranges;function y(){var t;return"number"!=typeof(t=i.pop()||d.lex()||h)&&(t instanceof Array&&(t=(i=t).pop()),t=e.symbols_[t]||t),t}"function"==typeof g.yy.parseError?this.parseError=g.yy.parseError:this.parseError=Object.getPrototypeOf(this).parseError;for(var m,v,x,k,_,E,T,C,S={};;){if(v=n[n.length-1],this.defaultActions[v]?x=this.defaultActions[v]:(null==m&&(m=y()),x=o[v]&&o[v][m]),void 0===x||!x.length||!x[0]){var A="";for(_ in C=[],o[v])this.terminals_[_]&&_>l&&C.push("'"+this.terminals_[_]+"'");A=d.showPosition?"Parse error on line "+(c+1)+":\n"+d.showPosition()+"\nExpecting "+C.join(", ")+", got 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e=t.length,n=t.split(/(?:\r\n?|\n)/g);this._input=t+this._input,this.yytext=this.yytext.substr(0,this.yytext.length-e),this.offset-=e;var i=this.match.split(/(?:\r\n?|\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),n.length-1&&(this.yylineno-=n.length-1);var r=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:n?(n.length===i.length?this.yylloc.first_column:0)+i[i.length-n.length].length-n[0].length:this.yylloc.first_column-e},this.options.ranges&&(this.yylloc.range=[r[0],r[0]+this.yyleng-e]),this.yyleng=this.yytext.length,this},more:function(){return this._more=!0,this},reject:function(){return this.options.backtrack_lexer?(this._backtrack=!0,this):this.parseError("Lexical error on line "+(this.yylineno+1)+". 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4:return 31;case 5:case 6:case 8:case 9:break;case 7:return 26;case 10:return this.begin("title"),13;case 11:return this.popState(),"title_value";case 12:return this.begin("acc_title"),15;case 13:return this.popState(),"acc_title_value";case 14:return this.begin("acc_descr"),17;case 15:return this.popState(),"acc_descr_value";case 16:this.begin("acc_descr_multiline");break;case 17:case 20:this.popState();break;case 18:return"acc_descr_multiline_value";case 19:this.begin("string");break;case 21:return"txt";case 22:return 6;case 23:return 8;case 24:return"value";case 25:return 28}},rules:[/^(?:%%\{)/i,/^(?:((?:(?!\}%%)[^:.])*))/i,/^(?::)/i,/^(?:\}%%)/i,/^(?:((?:(?!\}%%).|\n)*))/i,/^(?:%%(?!\{)[^\n]*)/i,/^(?:[^\}]%%[^\n]*)/i,/^(?:[\n\r]+)/i,/^(?:%%[^\n]*)/i,/^(?:[\s]+)/i,/^(?:title\b)/i,/^(?:(?!\n||)*[^\n]*)/i,/^(?:accTitle\s*:\s*)/i,/^(?:(?!\n||)*[^\n]*)/i,/^(?:accDescr\s*:\s*)/i,/^(?:(?!\n||)*[^\n]*)/i,/^(?:accDescr\s*\{\s*)/i,/^(?:[\}])/i,/^(?:[^\}]*)/i,/^(?:["])/i,/^(?:["])/i,/^(?:[^"]*)/i,/^(?:pie\b)/i,/^(?:showData\b)/i,/^(?::[\s]*[\d]+(?:\.[\d]+)?)/i,/^(?:$)/i],conditions:{acc_descr_multiline:{rules:[17,18],inclusive:!1},acc_descr:{rules:[15],inclusive:!1},acc_title:{rules:[13],inclusive:!1},close_directive:{rules:[],inclusive:!1},arg_directive:{rules:[3,4],inclusive:!1},type_directive:{rules:[2,3],inclusive:!1},open_directive:{rules:[1],inclusive:!1},title:{rules:[11],inclusive:!1},string:{rules:[20,21],inclusive:!1},INITIAL:{rules:[0,5,6,7,8,9,10,12,14,16,19,22,23,24,25],inclusive:!0}}};function x(){this.yy={}}return 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g=18,p=d.append("g");p.attr("transform","translate("+f/2+",225)");const{themeVariables:b}=u;let[w]=(0,i.F)(b.pieOuterStrokeWidth);w??(w=2);const y=l.textPosition,m=Math.min(f,h)/2-40,v=(0,r.Nb1)().innerRadius(0).outerRadius(m),x=(0,r.Nb1)().innerRadius(m*y).outerRadius(m*y);p.append("circle").attr("cx",0).attr("cy",0).attr("r",m+w/2).attr("class","pieOuterCircle");const k=c.getSections(),_=(t=>{const e=Object.entries(t).map((t=>({label:t[0],value:t[1]})));return(0,r.ve8)().value((t=>t.value))(e)})(k),E=[b.pie1,b.pie2,b.pie3,b.pie4,b.pie5,b.pie6,b.pie7,b.pie8,b.pie9,b.pie10,b.pie11,b.pie12],T=(0,r.PKp)(E);p.selectAll("mySlices").data(_).enter().append("path").attr("d",v).attr("fill",(t=>T(t.data.label))).attr("class","pieCircle");let 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}\n  .pieTitleText {\n    text-anchor: middle;\n    font-size: ${t.pieTitleTextSize};\n    fill: ${t.pieTitleTextColor};\n    font-family: ${t.fontFamily};\n  }\n  .slice {\n    font-family: ${t.fontFamily};\n    fill: ${t.pieSectionTextColor};\n    font-size:${t.pieSectionTextSize};\n    // fill: white;\n  }\n  .legend text {\n    fill: ${t.pieLegendTextColor};\n    font-family: ${t.fontFamily};\n    font-size: ${t.pieLegendTextSize};\n  }\n`}},7118:(t,e,n)=>{"use strict";n.r(e),n.d(e,{diagram:()=>h});var i=n(9339),r=n(7274),a=(n(7484),n(7967),n(7856),function(){var t=function(t,e,n,i){for(n=n||{},i=t.length;i--;n[t[i]]=e);return 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43:return 57;case 44:return 59;case 45:return 60;case 46:return 58;case 47:return 51;case 48:return 61;case 49:return 52;case 50:return 5;case 51:return 39;case 52:return 50;case 53:return 40}},rules:[/^(?:%%\{)/i,/^(?:((?:(?!\}%%)[^:.])*))/i,/^(?::)/i,/^(?:\}%%)/i,/^(?:((?:(?!\}%%).|\n)*))/i,/^(?:%%(?!\{)[^\n]*)/i,/^(?:[^\}]%%[^\n]*)/i,/^(?:[\n\r]+)/i,/^(?:%%[^\n]*)/i,/^(?:title\b)/i,/^(?:(?!\n||)*[^\n]*)/i,/^(?:accTitle\s*:\s*)/i,/^(?:(?!\n||)*[^\n]*)/i,/^(?:accDescr\s*:\s*)/i,/^(?:(?!\n||)*[^\n]*)/i,/^(?:accDescr\s*\{\s*)/i,/^(?:[\}])/i,/^(?:[^\}]*)/i,/^(?: *x-axis *)/i,/^(?: *y-axis *)/i,/^(?: *--+> *)/i,/^(?: *quadrant-1 *)/i,/^(?: *quadrant-2 *)/i,/^(?: *quadrant-3 *)/i,/^(?: *quadrant-4 *)/i,/^(?:["][`])/i,/^(?:[^`"]+)/i,/^(?:[`]["])/i,/^(?:["])/i,/^(?:["])/i,/^(?:[^"]*)/i,/^(?:\s*:\s*\[\s*)/i,/^(?:(1)|(0(.\d+)?))/i,/^(?:\s*\] *)/i,/^(?:\s*,\s*)/i,/^(?:(1)|(0(.\d+)?))/i,/^(?: *quadrantChart 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u(t){return(0,i.d)(t.trim(),c)}const l=new class{constructor(){this.config=this.getDefaultConfig(),this.themeConfig=this.getDefaultThemeConfig(),this.data=this.getDefaultData()}getDefaultData(){return{titleText:"",quadrant1Text:"",quadrant2Text:"",quadrant3Text:"",quadrant4Text:"",xAxisLeftText:"",xAxisRightText:"",yAxisBottomText:"",yAxisTopText:"",points:[]}}getDefaultConfig(){var t,e,n,r,a,o,s,c,u,l,h,f,d,g,p,b,w,y;return{showXAxis:!0,showYAxis:!0,showTitle:!0,chartHeight:(null==(t=i.C.quadrantChart)?void 0:t.chartWidth)||500,chartWidth:(null==(e=i.C.quadrantChart)?void 0:e.chartHeight)||500,titlePadding:(null==(n=i.C.quadrantChart)?void 0:n.titlePadding)||10,titleFontSize:(null==(r=i.C.quadrantChart)?void 0:r.titleFontSize)||20,quadrantPadding:(null==(a=i.C.quadrantChart)?void 0:a.quadrantPadding)||5,xAxisLabelPadding:(null==(o=i.C.quadrantChart)?void 0:o.xAxisLabelPadding)||5,yAxisLabelPadding:(null==(s=i.C.quadrantChart)?void 0:s.yAxisLabelPadding)||5,xAxisLabelFontSize:(null==(c=i.C.quadrantChart)?void 0:c.xAxisLabelFontSize)||16,yAxisLabelFontSize:(null==(u=i.C.quadrantChart)?void 0:u.yAxisLabelFontSize)||16,quadrantLabelFontSize:(null==(l=i.C.quadrantChart)?void 0:l.quadrantLabelFontSize)||16,quadrantTextTopPadding:(null==(h=i.C.quadrantChart)?void 0:h.quadrantTextTopPadding)||5,pointTextPadding:(null==(f=i.C.quadrantChart)?void 0:f.pointTextPadding)||5,pointLabelFontSize:(null==(d=i.C.quadrantChart)?void 0:d.pointLabelFontSize)||12,pointRadius:(null==(g=i.C.quadrantChart)?void 0:g.pointRadius)||5,xAxisPosition:(null==(p=i.C.quadrantChart)?void 0:p.xAxisPosition)||"top",yAxisPosition:(null==(b=i.C.quadrantChart)?void 0:b.yAxisPosition)||"left",quadrantInternalBorderStrokeWidth:(null==(w=i.C.quadrantChart)?void 0:w.quadrantInternalBorderStrokeWidth)||1,quadrantExternalBorderStrokeWidth:(null==(y=i.C.quadrantChart)?void 0:y.quadrantExternalBorderStrokeWidth)||2}}getDefaultThemeConfig(){return{quadrant1Fill:s.quadrant1Fill,quadrant2Fill:s.quadrant2Fill,quadrant3Fill:s.quadrant3Fill,quadrant4Fill:s.quadrant4Fill,quadrant1TextFill:s.quadrant1TextFill,quadrant2TextFill:s.quadrant2TextFill,quadrant3TextFill:s.quadrant3TextFill,quadrant4TextFill:s.quadrant4TextFill,quadrantPointFill:s.quadrantPointFill,quadrantPointTextFill:s.quadrantPointTextFill,quadrantXAxisTextFill:s.quadrantXAxisTextFill,quadrantYAxisTextFill:s.quadrantYAxisTextFill,quadrantTitleFill:s.quadrantTitleFill,quadrantInternalBorderStrokeFill:s.quadrantInternalBorderStrokeFill,quadrantExternalBorderStrokeFill:s.quadrantExternalBorderStrokeFill}}clear(){this.config=this.getDefaultConfig(),this.themeConfig=this.getDefaultThemeConfig(),this.data=this.getDefaultData(),i.l.info("clear called")}setData(t){this.data={...this.data,...t}}addPoints(t){this.data.points=[...t,...this.data.points]}setConfig(t){i.l.trace("setConfig called with: ",t),this.config={...this.config,...t}}setThemeConfig(t){i.l.trace("setThemeConfig called with: ",t),this.themeConfig={...this.themeConfig,...t}}calculateSpace(t,e,n,i){const r=2*this.config.xAxisLabelPadding+this.config.xAxisLabelFontSize,a={top:"top"===t&&e?r:0,bottom:"bottom"===t&&e?r:0},o=2*this.config.yAxisLabelPadding+this.config.yAxisLabelFontSize,s={left:"left"===this.config.yAxisPosition&&n?o:0,right:"right"===this.config.yAxisPosition&&n?o:0},c=this.config.titleFontSize+2*this.config.titlePadding,u={top:i?c:0},l=this.config.quadrantPadding+s.left,h=this.config.quadrantPadding+a.top+u.top,f=this.config.chartWidth-2*this.config.quadrantPadding-s.left-s.right,d=this.config.chartHeight-2*this.config.quadrantPadding-a.top-a.bottom-u.top;return{xAxisSpace:a,yAxisSpace:s,titleSpace:u,quadrantSpace:{quadrantLeft:l,quadrantTop:h,quadrantWidth:f,quadrantHalfWidth:f/2,quadrantHeight:d,quadrantHalfHeight:d/2}}}getAxisLabels(t,e,n,i){const{quadrantSpace:r,titleSpace:a}=i,{quadrantHalfHeight:o,quadrantHeight:s,quadrantLeft:c,quadrantHalfWidth:u,quadrantTop:l,quadrantWidth:h}=r,f=0===this.data.points.length,d=[];return this.data.xAxisLeftText&&e&&d.push({text:this.data.xAxisLeftText,fill:this.themeConfig.quadrantXAxisTextFill,x:c+(f?u/2:0),y:"top"===t?this.config.xAxisLabelPadding+a.top:this.config.xAxisLabelPadding+l+s+this.config.quadrantPadding,fontSize:this.config.xAxisLabelFontSize,verticalPos:f?"center":"left",horizontalPos:"top",rotation:0}),this.data.xAxisRightText&&e&&d.push({text:this.data.xAxisRightText,fill:this.themeConfig.quadrantXAxisTextFill,x:c+u+(f?u/2:0),y:"top"===t?this.config.xAxisLabelPadding+a.top:this.config.xAxisLabelPadding+l+s+this.config.quadrantPadding,fontSize:this.config.xAxisLabelFontSize,verticalPos:f?"center":"left",horizontalPos:"top",rotation:0}),this.data.yAxisBottomText&&n&&d.push({text:this.data.yAxisBottomText,fill:this.themeConfig.quadrantYAxisTextFill,x:"left"===this.config.yAxisPosition?this.config.yAxisLabelPadding:this.config.yAxisLabelPadding+c+h+this.config.quadrantPadding,y:l+s-(f?o/2:0),fontSize:this.config.yAxisLabelFontSize,verticalPos:f?"center":"left",horizontalPos:"top",rotation:-90}),this.data.yAxisTopText&&n&&d.push({text:this.data.yAxisTopText,fill:this.themeConfig.quadrantYAxisTextFill,x:"left"===this.config.yAxisPosition?this.config.yAxisLabelPadding:this.config.yAxisLabelPadding+c+h+this.config.quadrantPadding,y:l+o-(f?o/2:0),fontSize:this.config.yAxisLabelFontSize,verticalPos:f?"center":"left",horizontalPos:"top",rotation:-90}),d}getQuadrants(t){const{quadrantSpace:e}=t,{quadrantHalfHeight:n,quadrantLeft:i,quadrantHalfWidth:r,quadrantTop:a}=e,o=[{text:{text:this.data.quadrant1Text,fill:this.themeConfig.quadrant1TextFill,x:0,y:0,fontSize:this.config.quadrantLabelFontSize,verticalPos:"center",horizontalPos:"middle",rotation:0},x:i+r,y:a,width:r,height:n,fill:this.themeConfig.quadrant1Fill},{text:{text:this.data.quadrant2Text,fill:this.themeConfig.quadrant2TextFill,x:0,y:0,fontSize:this.config.quadrantLabelFontSize,verticalPos:"center",horizontalPos:"middle",rotation:0},x:i,y:a,width:r,height:n,fill:this.themeConfig.quadrant2Fill},{text:{text:this.data.quadrant3Text,fill:this.themeConfig.quadrant3TextFill,x:0,y:0,fontSize:this.config.quadrantLabelFontSize,verticalPos:"center",horizontalPos:"middle",rotation:0},x:i,y:a+n,width:r,height:n,fill:this.themeConfig.quadrant3Fill},{text:{text:this.data.quadrant4Text,fill:this.themeConfig.quadrant4TextFill,x:0,y:0,fontSize:this.config.quadrantLabelFontSize,verticalPos:"center",horizontalPos:"middle",rotation:0},x:i+r,y:a+n,width:r,height:n,fill:this.themeConfig.quadrant4Fill}];for(const t of o)t.text.x=t.x+t.width/2,0===this.data.points.length?(t.text.y=t.y+t.height/2,t.text.horizontalPos="middle"):(t.text.y=t.y+this.config.quadrantTextTopPadding,t.text.horizontalPos="top");return o}getQuadrantPoints(t){const{quadrantSpace:e}=t,{quadrantHeight:n,quadrantLeft:i,quadrantTop:a,quadrantWidth:o}=e,s=(0,r.BYU)().domain([0,1]).range([i,o+i]),c=(0,r.BYU)().domain([0,1]).range([n+a,a]);return this.data.points.map((t=>({x:s(t.x),y:c(t.y),fill:this.themeConfig.quadrantPointFill,radius:this.config.pointRadius,text:{text:t.text,fill:this.themeConfig.quadrantPointTextFill,x:s(t.x),y:c(t.y)+this.config.pointTextPadding,verticalPos:"center",horizontalPos:"top",fontSize:this.config.pointLabelFontSize,rotation:0}})))}getBorders(t){const e=this.config.quadrantExternalBorderStrokeWidth/2,{quadrantSpace:n}=t,{quadrantHalfHeight:i,quadrantHeight:r,quadrantLeft:a,quadrantHalfWidth:o,quadrantTop:s,quadrantWidth:c}=n;return[{strokeFill:this.themeConfig.quadrantExternalBorderStrokeFill,strokeWidth:this.config.quadrantExternalBorderStrokeWidth,x1:a-e,y1:s,x2:a+c+e,y2:s},{strokeFill:this.themeConfig.quadrantExternalBorderStrokeFill,strokeWidth:this.config.quadrantExternalBorderStrokeWidth,x1:a+c,y1:s+e,x2:a+c,y2:s+r-e},{strokeFill:this.themeConfig.quadrantExternalBorderStrokeFill,strokeWidth:this.config.quadrantExternalBorderStrokeWidth,x1:a-e,y1:s+r,x2:a+c+e,y2:s+r},{strokeFill:this.themeConfig.quadrantExternalBorderStrokeFill,strokeWidth:this.config.quadrantExternalBorderStrokeWidth,x1:a,y1:s+e,x2:a,y2:s+r-e},{strokeFill:this.themeConfig.quadrantInternalBorderStrokeFill,strokeWidth:this.config.quadrantInternalBorderStrokeWidth,x1:a+o,y1:s+e,x2:a+o,y2:s+r-e},{strokeFill:this.themeConfig.quadrantInternalBorderStrokeFill,strokeWidth:this.config.quadrantInternalBorderStrokeWidth,x1:a+e,y1:s+i,x2:a+c-e,y2:s+i}]}getTitle(t){if(t)return{text:this.data.titleText,fill:this.themeConfig.quadrantTitleFill,fontSize:this.config.titleFontSize,horizontalPos:"top",verticalPos:"center",rotation:0,y:this.config.titlePadding,x:this.config.chartWidth/2}}build(){const t=this.config.showXAxis&&!(!this.data.xAxisLeftText&&!this.data.xAxisRightText),e=this.config.showYAxis&&!(!this.data.yAxisTopText&&!this.data.yAxisBottomText),n=this.config.showTitle&&!!this.data.titleText,i=this.data.points.length>0?"bottom":this.config.xAxisPosition,r=this.calculateSpace(i,t,e,n);return{points:this.getQuadrantPoints(r),quadrants:this.getQuadrants(r),axisLabels:this.getAxisLabels(i,t,e,r),borderLines:this.getBorders(r),title:this.getTitle(n)}}};const h={parser:o,db:{setWidth:function(t){l.setConfig({chartWidth:t})},setHeight:function(t){l.setConfig({chartHeight:t})},setQuadrant1Text:function(t){l.setData({quadrant1Text:u(t.text)})},setQuadrant2Text:function(t){l.setData({quadrant2Text:u(t.text)})},setQuadrant3Text:function(t){l.setData({quadrant3Text:u(t.text)})},setQuadrant4Text:function(t){l.setData({quadrant4Text:u(t.text)})},setXAxisLeftText:function(t){l.setData({xAxisLeftText:u(t.text)})},setXAxisRightText:function(t){l.setData({xAxisRightText:u(t.text)})},setYAxisTopText:function(t){l.setData({yAxisTopText:u(t.text)})},setYAxisBottomText:function(t){l.setData({yAxisBottomText:u(t.text)})},addPoint:function(t,e,n){l.addPoints([{x:e,y:n,text:u(t.text)}])},getQuadrantData:function(){const t=(0,i.c)(),{themeVariables:e,quadrantChart:n}=t;return n&&l.setConfig(n),l.setThemeConfig({quadrant1Fill:e.quadrant1Fill,quadrant2Fill:e.quadrant2Fill,quadrant3Fill:e.quadrant3Fill,quadrant4Fill:e.quadrant4Fill,quadrant1TextFill:e.quadrant1TextFill,quadrant2TextFill:e.quadrant2TextFill,quadrant3TextFill:e.quadrant3TextFill,quadrant4TextFill:e.quadrant4TextFill,quadrantPointFill:e.quadrantPointFill,quadrantPointTextFill:e.quadrantPointTextFill,quadrantXAxisTextFill:e.quadrantXAxisTextFill,quadrantYAxisTextFill:e.quadrantYAxisTextFill,quadrantExternalBorderStrokeFill:e.quadrantExternalBorderStrokeFill,quadrantInternalBorderStrokeFill:e.quadrantInternalBorderStrokeFill,quadrantTitleFill:e.quadrantTitleFill}),l.setData({titleText:(0,i.t)()}),l.build()},parseDirective:function(t,e,n){i.m.parseDirective(this,t,e,n)},clear:function(){l.clear(),(0,i.v)()},setAccTitle:i.s,getAccTitle:i.g,setDiagramTitle:i.r,getDiagramTitle:i.t,getAccDescription:i.a,setAccDescription:i.b},renderer:{draw:(t,e,n,a)=>{var o,s,c;function u(t){return"top"===t?"hanging":"middle"}function l(t){return"left"===t?"start":"middle"}function h(t){return`translate(${t.x}, ${t.y}) rotate(${t.rotation||0})`}const f=(0,i.c)();i.l.debug("Rendering quadrant chart\n"+t);const d=f.securityLevel;let g;"sandbox"===d&&(g=(0,r.Ys)("#i"+e));const p=("sandbox"===d?(0,r.Ys)(g.nodes()[0].contentDocument.body):(0,r.Ys)("body")).select(`[id="${e}"]`),b=p.append("g").attr("class","main"),w=(null==(o=f.quadrantChart)?void 0:o.chartWidth)||500,y=(null==(s=f.quadrantChart)?void 0:s.chartHeight)||500;(0,i.i)(p,y,w,(null==(c=f.quadrantChart)?void 0:c.useMaxWidth)||!0),p.attr("viewBox","0 0 "+w+" "+y),a.db.setHeight(y),a.db.setWidth(w);const m=a.db.getQuadrantData(),v=b.append("g").attr("class","quadrants"),x=b.append("g").attr("class","border"),k=b.append("g").attr("class","data-points"),_=b.append("g").attr("class","labels"),E=b.append("g").attr("class","title");m.title&&E.append("text").attr("x",0).attr("y",0).attr("fill",m.title.fill).attr("font-size",m.title.fontSize).attr("dominant-baseline",u(m.title.horizontalPos)).attr("text-anchor",l(m.title.verticalPos)).attr("transform",h(m.title)).text(m.title.text),m.borderLines&&x.selectAll("line").data(m.borderLines).enter().append("line").attr("x1",(t=>t.x1)).attr("y1",(t=>t.y1)).attr("x2",(t=>t.x2)).attr("y2",(t=>t.y2)).style("stroke",(t=>t.strokeFill)).style("stroke-width",(t=>t.strokeWidth));const T=v.selectAll("g.quadrant").data(m.quadrants).enter().append("g").attr("class","quadrant");T.append("rect").attr("x",(t=>t.x)).attr("y",(t=>t.y)).attr("width",(t=>t.width)).attr("height",(t=>t.height)).attr("fill",(t=>t.fill)),T.append("text").attr("x",0).attr("y",0).attr("fill",(t=>t.text.fill)).attr("font-size",(t=>t.text.fontSize)).attr("dominant-baseline",(t=>u(t.text.horizontalPos))).attr("text-anchor",(t=>l(t.text.verticalPos))).attr("transform",(t=>h(t.text))).text((t=>t.text.text));_.selectAll("g.label").data(m.axisLabels).enter().append("g").attr("class","label").append("text").attr("x",0).attr("y",0).text((t=>t.text)).attr("fill",(t=>t.fill)).attr("font-size",(t=>t.fontSize)).attr("dominant-baseline",(t=>u(t.horizontalPos))).attr("text-anchor",(t=>l(t.verticalPos))).attr("transform",(t=>h(t)));const C=k.selectAll("g.data-point").data(m.points).enter().append("g").attr("class","data-point");C.append("circle").attr("cx",(t=>t.x)).attr("cy",(t=>t.y)).attr("r",(t=>t.radius)).attr("fill",(t=>t.fill)),C.append("text").attr("x",0).attr("y",0).text((t=>t.text.text)).attr("fill",(t=>t.text.fill)).attr("font-size",(t=>t.text.fontSize)).attr("dominant-baseline",(t=>u(t.text.horizontalPos))).attr("text-anchor",(t=>l(t.text.verticalPos))).attr("transform",(t=>h(t.text)))}},styles:()=>""}},4019:(t,e,n)=>{"use strict";n.r(e),n.d(e,{diagram:()=>T});var i=n(9339),r=n(7274),a=n(3771),o=n(5625),s=(n(7484),n(7967),n(7856),function(){var t=function(t,e,n,i){for(n=n||{},i=t.length;i--;n[t[i]]=e);return 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58:a[s-2]=[].concat(a[s-1],a[s-1]).slice(0,2),a[s-2][0]=a[s-2][0].actor,a[s-2][1]=a[s-2][1].actor,this.$=[a[s-1],{type:"addNote",placement:i.PLACEMENT.OVER,actor:a[s-2].slice(0,2),text:a[s]}];break;case 59:this.$=[a[s-1],{type:"addLinks",actor:a[s-1].actor,text:a[s]}];break;case 60:this.$=[a[s-1],{type:"addALink",actor:a[s-1].actor,text:a[s]}];break;case 61:this.$=[a[s-1],{type:"addProperties",actor:a[s-1].actor,text:a[s]}];break;case 62:this.$=[a[s-1],{type:"addDetails",actor:a[s-1].actor,text:a[s]}];break;case 65:this.$=[a[s-2],a[s]];break;case 67:this.$=i.PLACEMENT.LEFTOF;break;case 68:this.$=i.PLACEMENT.RIGHTOF;break;case 69:this.$=[a[s-4],a[s-1],{type:"addMessage",from:a[s-4].actor,to:a[s-1].actor,signalType:a[s-3],msg:a[s]},{type:"activeStart",signalType:i.LINETYPE.ACTIVE_START,actor:a[s-1]}];break;case 70:this.$=[a[s-4],a[s-1],{type:"addMessage",from:a[s-4].actor,to:a[s-1].actor,signalType:a[s-3],msg:a[s]},{type:"activeEnd",signalType:i.LINETYPE.ACTIVE_END,actor:a[s-4]}];break;case 71:this.$=[a[s-3],a[s-1],{type:"addMessage",from:a[s-3].actor,to:a[s-1].actor,signalType:a[s-2],msg:a[s]}];break;case 72:this.$={type:"addParticipant",actor:a[s]};break;case 73:this.$=i.LINETYPE.SOLID_OPEN;break;case 74:this.$=i.LINETYPE.DOTTED_OPEN;break;case 75:this.$=i.LINETYPE.SOLID;break;case 76:this.$=i.LINETYPE.DOTTED;break;case 77:this.$=i.LINETYPE.SOLID_CROSS;break;case 78:this.$=i.LINETYPE.DOTTED_CROSS;break;case 79:this.$=i.LINETYPE.SOLID_POINT;break;case 80:this.$=i.LINETYPE.DOTTED_POINT;break;case 81:this.$=i.parseMessage(a[s].trim().substring(1));break;case 82:i.parseDirective("%%{","open_directive");break;case 83:i.parseDirective(a[s],"type_directive");break;case 84:a[s]=a[s].trim().replace(/'/g,'"'),i.parseDirective(a[s],"arg_directive");break;case 85:i.parseDirective("}%%","close_directive","sequence")}},table:[{3:1,4:e,5:n,6:4,7:i,14:6,86:r},{1:[3]},{3:8,4:e,5:n,6:4,7:i,14:6,86:r},{3:9,4:e,5:n,6:4,7:i,14:6,86:r},{3:10,4:e,5:n,6:4,7:i,14:6,86:r},t([1,4,5,19,20,24,27,29,35,36,37,39,41,42,43,44,45,47,49,50,52,56,58,59,60,65,66,67,68,76,86],a,{8:11}),{15:12,87:[1,13]},{87:[2,82]},{1:[2,1]},{1:[2,2]},{1:[2,3]},{1:[2,4],4:o,5:s,6:43,9:14,10:16,13:18,14:6,19:c,20:u,23:21,24:l,27:h,28:47,29:f,30:25,31:26,32:27,33:28,34:29,35:d,36:g,37:p,39:b,41:w,42:y,43:m,44:v,45:x,47:k,49:_,50:E,52:T,56:C,58:S,59:A,60:M,65:I,66:L,67:D,68:O,76:N,86:r},{16:54,17:[1,55],89:P},t([17,89],[2,83]),t(B,[2,6]),{6:43,10:57,13:18,14:6,19:c,20:u,23:21,24:l,27:h,28:47,29:f,30:25,31:26,32:27,33:28,34:29,35:d,36:g,37:p,39:b,41:w,42:y,43:m,44:v,45:x,47:k,49:_,50:E,52:T,56:C,58:S,59:A,60:M,65:I,66:L,67:D,68:O,76:N,86:r},t(B,[2,8]),t(B,[2,9]),t(B,[2,17]),{13:58,56:C,58:S,59:A},{21:[1,59]},{5:[1,60]},{5:[1,63],25:[1,61],26:[1,62]},{28:64,76:N},{28:65,76:N},{5:[1,66]},{5:[1,67]},{5:[1,68]},{5:[1,69]},{5:[1,70]},t(B,[2,32]),t(B,[2,33]),{38:[1,71]},{40:[1,72]},t(B,[2,36]),{21:[1,73]},{21:[1,74]},{21:[1,75]},{21:[1,76]},{21:[1,77]},{21:[1,78]},{21:[1,79]},{21:[1,80]},t(B,[2,45]),{28:81,76:N},{28:82,76:N},{28:83,76:N},{73:84,77:[1,85],78:[1,86],79:[1,87],80:[1,88],81:[1,89],82:[1,90],83:[1,91],84:[1,92]},{61:93,63:[1,94],71:[1,95],72:[1,96]},{28:97,76:N},{28:98,76:N},{28:99,76:N},{28:100,76:N},t([5,57,70,77,78,79,80,81,82,83,84,85],[2,72]),{5:[1,101]},{18:102,88:[1,103]},{5:[2,85]},t(B,[2,7]),t(B,[2,18]),t(F,[2,10],{11:104}),t(B,[2,20]),{5:[1,106],25:[1,105]},{5:[1,107]},t(B,[2,24]),{5:[1,108]},{5:[1,109]},t(B,[2,27]),t(B,[2,28]),t(B,[2,29]),t(B,[2,30]),t(B,[2,31]),t(B,[2,34]),t(B,[2,35]),t(R,a,{8:110}),t(R,a,{8:111}),t(R,a,{8:112}),t($,a,{46:113,8:114}),t(j,a,{48:115,8:116}),t(j,a,{8:116,48:117}),t(z,a,{51:118,8:119}),t(R,a,{8:120}),{5:[1,122],57:[1,121]},{5:[1,124],57:[1,123]},{5:[1,125]},{28:128,74:[1,126],75:[1,127],76:N},t(q,[2,73]),t(q,[2,74]),t(q,[2,75]),t(q,[2,76]),t(q,[2,77]),t(q,[2,78]),t(q,[2,79]),t(q,[2,80]),{28:129,76:N},{28:131,64:130,76:N},{76:[2,67]},{76:[2,68]},{62:132,85:H},{62:134,85:H},{62:135,85:H},{62:136,85:H},t(Z,[2,15]),{16:137,89:P},{89:[2,84]},{4:[1,140],5:[1,142],12:139,13:141,22:[1,138],56:C,58:S,59:A},{5:[1,143]},t(B,[2,22]),t(B,[2,23]),t(B,[2,25]),t(B,[2,26]),{4:o,5:s,6:43,9:14,10:16,13:18,14:6,19:c,20:u,22:[1,144],23:21,24:l,27:h,28:47,29:f,30:25,31:26,32:27,33:28,34:29,35:d,36:g,37:p,39:b,41:w,42:y,43:m,44:v,45:x,47:k,49:_,50:E,52:T,56:C,58:S,59:A,60:M,65:I,66:L,67:D,68:O,76:N,86:r},{4:o,5:s,6:43,9:14,10:16,13:18,14:6,19:c,20:u,22:[1,145],23:21,24:l,27:h,28:47,29:f,30:25,31:26,32:27,33:28,34:29,35:d,36:g,37:p,39:b,41:w,42:y,43:m,44:v,45:x,47:k,49:_,50:E,52:T,56:C,58:S,59:A,60:M,65:I,66:L,67:D,68:O,76:N,86:r},{4:o,5:s,6:43,9:14,10:16,13:18,14:6,19:c,20:u,22:[1,146],23:21,24:l,27:h,28:47,29:f,30:25,31:26,32:27,33:28,34:29,35:d,36:g,37:p,39:b,41:w,42:y,43:m,44:v,45:x,47:k,49:_,50:E,52:T,56:C,58:S,59:A,60:M,65:I,66:L,67:D,68:O,76:N,86:r},{22:[1,147]},{4:o,5:s,6:43,9:14,10:16,13:18,14:6,19:c,20:u,22:[2,50],23:21,24:l,27:h,28:47,29:f,30:25,31:26,32:27,33:28,34:29,35:d,36:g,37:p,39:b,41:w,42:y,43:m,44:v,45:x,47:k,49:_,50:E,52:T,55:[1,148],56:C,58:S,59:A,60:M,65:I,66:L,67:D,68:O,76:N,86:r},{22:[1,149]},{4:o,5:s,6:43,9:14,10:16,13:18,14:6,19:c,20:u,22:[2,48],23:21,24:l,27:h,28:47,29:f,30:25,31:26,32:27,33:28,34:29,35:d,36:g,37:p,39:b,41:w,42:y,43:m,44:v,45:x,47:k,49:_,50:E,52:T,54:[1,150],56:C,58:S,59:A,60:M,65:I,66:L,67:D,68:O,76:N,86:r},{22:[1,151]},{22:[1,152]},{4:o,5:s,6:43,9:14,10:16,13:18,14:6,19:c,20:u,22:[2,46],23:21,24:l,27:h,28:47,29:f,30:25,31:26,32:27,33:28,34:29,35:d,36:g,37:p,39:b,41:w,42:y,43:m,44:v,45:x,47:k,49:_,50:E,52:T,53:[1,153],56:C,58:S,59:A,60:M,65:I,66:L,67:D,68:O,76:N,86:r},{4:o,5:s,6:43,9:14,10:16,13:18,14:6,19:c,20:u,22:[1,154],23:21,24:l,27:h,28:47,29:f,30:25,31:26,32:27,33:28,34:29,35:d,36:g,37:p,39:b,41:w,42:y,43:m,44:v,45:x,47:k,49:_,50:E,52:T,56:C,58:S,59:A,60:M,65:I,66:L,67:D,68:O,76:N,86:r},{21:[1,155]},t(B,[2,53]),{21:[1,156]},t(B,[2,55]),t(B,[2,56]),{28:157,76:N},{28:158,76:N},{62:159,85:H},{62:160,85:H},{62:161,85:H},{70:[1,162],85:[2,66]},{5:[2,59]},{5:[2,81]},{5:[2,60]},{5:[2,61]},{5:[2,62]},{5:[1,163]},t(B,[2,19]),t(F,[2,11]),{13:164,56:C,58:S,59:A},t(F,[2,13]),t(F,[2,14]),t(B,[2,21]),t(B,[2,37]),t(B,[2,38]),t(B,[2,39]),t(B,[2,40]),{21:[1,165]},t(B,[2,41]),{21:[1,166]},t(B,[2,42]),t(B,[2,43]),{21:[1,167]},t(B,[2,44]),{5:[1,168]},{5:[1,169]},{62:170,85:H},{62:171,85:H},{5:[2,71]},{5:[2,57]},{5:[2,58]},{28:172,76:N},t(Z,[2,16]),t(F,[2,12]),t($,a,{8:114,46:173}),t(j,a,{8:116,48:174}),t(z,a,{8:119,51:175}),t(B,[2,52]),t(B,[2,54]),{5:[2,69]},{5:[2,70]},{85:[2,65]},{22:[2,51]},{22:[2,49]},{22:[2,47]}],defaultActions:{7:[2,82],8:[2,1],9:[2,2],10:[2,3],56:[2,85],95:[2,67],96:[2,68],103:[2,84],132:[2,59],133:[2,81],134:[2,60],135:[2,61],136:[2,62],159:[2,71],160:[2,57],161:[2,58],170:[2,69],171:[2,70],172:[2,65],173:[2,51],174:[2,49],175:[2,47]},parseError:function(t,e){if(!e.recoverable){var n=new Error(t);throw n.hash=e,n}this.trace(t)},parse:function(t){var e=this,n=[0],i=[],r=[null],a=[],o=this.table,s="",c=0,u=0,l=2,h=1,f=a.slice.call(arguments,1),d=Object.create(this.lexer),g={yy:{}};for(var p in this.yy)Object.prototype.hasOwnProperty.call(this.yy,p)&&(g.yy[p]=this.yy[p]);d.setInput(t,g.yy),g.yy.lexer=d,g.yy.parser=this,void 0===d.yylloc&&(d.yylloc={});var b=d.yylloc;a.push(b);var w=d.options&&d.options.ranges;function y(){var t;return"number"!=typeof(t=i.pop()||d.lex()||h)&&(t instanceof Array&&(t=(i=t).pop()),t=e.symbols_[t]||t),t}"function"==typeof g.yy.parseError?this.parseError=g.yy.parseError:this.parseError=Object.getPrototypeOf(this).parseError;for(var m,v,x,k,_,E,T,C,S={};;){if(v=n[n.length-1],this.defaultActions[v]?x=this.defaultActions[v]:(null==m&&(m=y()),x=o[v]&&o[v][m]),void 0===x||!x.length||!x[0]){var A="";for(_ in C=[],o[v])this.terminals_[_]&&_>l&&C.push("'"+this.terminals_[_]+"'");A=d.showPosition?"Parse error on line "+(c+1)+":\n"+d.showPosition()+"\nExpecting "+C.join(", ")+", got '"+(this.terminals_[m]||m)+"'":"Parse error on line "+(c+1)+": Unexpected "+(m==h?"end of input":"'"+(this.terminals_[m]||m)+"'"),this.parseError(A,{text:d.match,token:this.terminals_[m]||m,line:d.yylineno,loc:b,expected:C})}if(x[0]instanceof Array&&x.length>1)throw new Error("Parse Error: multiple actions possible at state: "+v+", token: "+m);switch(x[0]){case 1:n.push(m),r.push(d.yytext),a.push(d.yylloc),n.push(x[1]),m=null,u=d.yyleng,s=d.yytext,c=d.yylineno,b=d.yylloc;break;case 2:if(E=this.productions_[x[1]][1],S.$=r[r.length-E],S._$={first_line:a[a.length-(E||1)].first_line,last_line:a[a.length-1].last_line,first_column:a[a.length-(E||1)].first_column,last_column:a[a.length-1].last_column},w&&(S._$.range=[a[a.length-(E||1)].range[0],a[a.length-1].range[1]]),void 0!==(k=this.performAction.apply(S,[s,u,c,g.yy,x[1],r,a].concat(f))))return k;E&&(n=n.slice(0,-1*E*2),r=r.slice(0,-1*E),a=a.slice(0,-1*E)),n.push(this.productions_[x[1]][0]),r.push(S.$),a.push(S._$),T=o[n[n.length-2]][n[n.length-1]],n.push(T);break;case 3:return!0}}return!0}},Y={EOF:1,parseError:function(t,e){if(!this.yy.parser)throw new Error(t);this.yy.parser.parseError(t,e)},setInput:function(t,e){return this.yy=e||this.yy||{},this._input=t,this._more=this._backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match="",this.conditionStack=["INITIAL"],this.yylloc={first_line:1,first_column:0,last_line:1,last_column:0},this.options.ranges&&(this.yylloc.range=[0,0]),this.offset=0,this},input:function(){var t=this._input[0];return this.yytext+=t,this.yyleng++,this.offset++,this.match+=t,this.matched+=t,t.match(/(?:\r\n?|\n).*/g)?(this.yylineno++,this.yylloc.last_line++):this.yylloc.last_column++,this.options.ranges&&this.yylloc.range[1]++,this._input=this._input.slice(1),t},unput:function(t){var e=t.length,n=t.split(/(?:\r\n?|\n)/g);this._input=t+this._input,this.yytext=this.yytext.substr(0,this.yytext.length-e),this.offset-=e;var i=this.match.split(/(?:\r\n?|\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),n.length-1&&(this.yylineno-=n.length-1);var r=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:n?(n.length===i.length?this.yylloc.first_column:0)+i[i.length-n.length].length-n[0].length:this.yylloc.first_column-e},this.options.ranges&&(this.yylloc.range=[r[0],r[0]+this.yyleng-e]),this.yyleng=this.yytext.length,this},more:function(){return this._more=!0,this},reject:function(){return this.options.backtrack_lexer?(this._backtrack=!0,this):this.parseError("Lexical error on line "+(this.yylineno+1)+". You can only invoke reject() in the lexer when the lexer is of the backtracking persuasion (options.backtrack_lexer = true).\n"+this.showPosition(),{text:"",token:null,line:this.yylineno})},less:function(t){this.unput(this.match.slice(t))},pastInput:function(){var t=this.matched.substr(0,this.matched.length-this.match.length);return(t.length>20?"...":"")+t.substr(-20).replace(/\n/g,"")},upcomingInput:function(){var t=this.match;return t.length<20&&(t+=this._input.substr(0,20-t.length)),(t.substr(0,20)+(t.length>20?"...":"")).replace(/\n/g,"")},showPosition:function(){var t=this.pastInput(),e=new Array(t.length+1).join("-");return t+this.upcomingInput()+"\n"+e+"^"},test_match:function(t,e){var n,i,r;if(this.options.backtrack_lexer&&(r={yylineno:this.yylineno,yylloc:{first_line:this.yylloc.first_line,last_line:this.last_line,first_column:this.yylloc.first_column,last_column:this.yylloc.last_column},yytext:this.yytext,match:this.match,matches:this.matches,matched:this.matched,yyleng:this.yyleng,offset:this.offset,_more:this._more,_input:this._input,yy:this.yy,conditionStack:this.conditionStack.slice(0),done:this.done},this.options.ranges&&(r.yylloc.range=this.yylloc.range.slice(0))),(i=t[0].match(/(?:\r\n?|\n).*/g))&&(this.yylineno+=i.length),this.yylloc={first_line:this.yylloc.last_line,last_line:this.yylineno+1,first_column:this.yylloc.last_column,last_column:i?i[i.length-1].length-i[i.length-1].match(/\r?\n?/)[0].length:this.yylloc.last_column+t[0].length},this.yytext+=t[0],this.match+=t[0],this.matches=t,this.yyleng=this.yytext.length,this.options.ranges&&(this.yylloc.range=[this.offset,this.offset+=this.yyleng]),this._more=!1,this._backtrack=!1,this._input=this._input.slice(t[0].length),this.matched+=t[0],n=this.performAction.call(this,this.yy,this,e,this.conditionStack[this.conditionStack.length-1]),this.done&&this._input&&(this.done=!1),n)return n;if(this._backtrack){for(var a in r)this[a]=r[a];return!1}return!1},next:function(){if(this.done)return this.EOF;var t,e,n,i;this._input||(this.done=!0),this._more||(this.yytext="",this.match="");for(var r=this._currentRules(),a=0;a<r.length;a++)if((n=this._input.match(this.rules[r[a]]))&&(!e||n[0].length>e[0].length)){if(e=n,i=a,this.options.backtrack_lexer){if(!1!==(t=this.test_match(n,r[a])))return t;if(this._backtrack){e=!1;continue}return!1}if(!this.options.flex)break}return e?!1!==(t=this.test_match(e,r[i]))&&t:""===this._input?this.EOF:this.parseError("Lexical error on line "+(this.yylineno+1)+". Unrecognized text.\n"+this.showPosition(),{text:"",token:null,line:this.yylineno})},lex:function(){var t=this.next();return t||this.lex()},begin:function(t){this.conditionStack.push(t)},popState:function(){return this.conditionStack.length-1>0?this.conditionStack.pop():this.conditionStack[0]},_currentRules:function(){return this.conditionStack.length&&this.conditionStack[this.conditionStack.length-1]?this.conditions[this.conditionStack[this.conditionStack.length-1]].rules:this.conditions.INITIAL.rules},topState:function(t){return(t=this.conditionStack.length-1-Math.abs(t||0))>=0?this.conditionStack[t]:"INITIAL"},pushState:function(t){this.begin(t)},stateStackSize:function(){return this.conditionStack.length},options:{"case-insensitive":!0},performAction:function(t,e,n,i){switch(n){case 0:return this.begin("open_directive"),86;case 1:return this.begin("type_directive"),87;case 2:return this.popState(),this.begin("arg_directive"),17;case 3:return this.popState(),this.popState(),89;case 4:return 88;case 5:case 56:case 69:return 5;case 6:case 7:case 8:case 9:case 10:break;case 11:return 25;case 12:return this.begin("LINE"),20;case 13:return this.begin("ID"),56;case 14:return this.begin("ID"),58;case 15:return 19;case 16:return this.begin("ID"),59;case 17:return e.yytext=e.yytext.trim(),this.begin("ALIAS"),76;case 18:return this.popState(),this.popState(),this.begin("LINE"),57;case 19:return this.popState(),this.popState(),5;case 20:return this.begin("LINE"),42;case 21:return this.begin("LINE"),43;case 22:return this.begin("LINE"),44;case 23:return this.begin("LINE"),45;case 24:return this.begin("LINE"),55;case 25:return this.begin("LINE"),47;case 26:return this.begin("LINE"),49;case 27:return this.begin("LINE"),54;case 28:return this.begin("LINE"),50;case 29:return this.begin("LINE"),53;case 30:return this.begin("LINE"),52;case 31:return this.popState(),21;case 32:return 22;case 33:return 71;case 34:return 72;case 35:return 65;case 36:return 66;case 37:return 67;case 38:return 68;case 39:return 63;case 40:return 60;case 41:return this.begin("ID"),27;case 42:return this.begin("ID"),29;case 43:return 35;case 44:return 36;case 45:return this.begin("acc_title"),37;case 46:return this.popState(),"acc_title_value";case 47:return this.begin("acc_descr"),39;case 48:return this.popState(),"acc_descr_value";case 49:this.begin("acc_descr_multiline");break;case 50:this.popState();break;case 51:return"acc_descr_multiline_value";case 52:return 7;case 53:return 24;case 54:return 26;case 55:return 70;case 57:return e.yytext=e.yytext.trim(),76;case 58:return 79;case 59:return 80;case 60:return 77;case 61:return 78;case 62:return 81;case 63:return 82;case 64:return 83;case 65:return 84;case 66:return 85;case 67:return 74;case 68:return 75;case 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c=r.sequenceItems.length-a+1;r.updateVal(s,"starty",e-c*G.boxMargin,Math.min),r.updateVal(s,"stopy",i+c*G.boxMargin,Math.max),r.updateVal(K.data,"startx",t-c*G.boxMargin,Math.min),r.updateVal(K.data,"stopx",n+c*G.boxMargin,Math.max),"activation"!==o&&(r.updateVal(s,"startx",t-c*G.boxMargin,Math.min),r.updateVal(s,"stopx",n+c*G.boxMargin,Math.max),r.updateVal(K.data,"starty",e-c*G.boxMargin,Math.min),r.updateVal(K.data,"stopy",i+c*G.boxMargin,Math.max))}}this.sequenceItems.forEach(o()),this.activations.forEach(o("activation"))},insert:function(t,e,n,r){const a=i.e.getMin(t,n),o=i.e.getMax(t,n),s=i.e.getMin(e,r),c=i.e.getMax(e,r);this.updateVal(K.data,"startx",a,Math.min),this.updateVal(K.data,"starty",s,Math.min),this.updateVal(K.data,"stopx",o,Math.max),this.updateVal(K.data,"stopy",c,Math.max),this.updateBounds(a,s,o,c)},newActivation:function(t,e,n){const i=n[t.from.actor],r=et(t.from.actor).length||0,a=i.x+i.width/2+(r-1)*G.activationWidth/2;this.activations.push({startx:a,starty:this.verticalPos+2,stopx:a+G.activationWidth,stopy:void 0,actor:t.from.actor,anchored:Y.anchorElement(e)})},endActivation:function(t){const e=this.activations.map((function(t){return t.actor})).lastIndexOf(t.from.actor);return this.activations.splice(e,1)[0]},createLoop:function(t={message:void 0,wrap:!1,width:void 0},e){return{startx:void 0,starty:this.verticalPos,stopx:void 0,stopy:void 0,title:t.message,wrap:t.wrap,width:t.width,height:0,fill:e}},newLoop:function(t={message:void 0,wrap:!1,width:void 0},e){this.sequenceItems.push(this.createLoop(t,e))},endLoop:function(){return this.sequenceItems.pop()},isLoopOverlap:function(){return!!this.sequenceItems.length&&this.sequenceItems[this.sequenceItems.length-1].overlap},addSectionToLoop:function(t){const e=this.sequenceItems.pop();e.sections=e.sections||[],e.sectionTitles=e.sectionTitles||[],e.sections.push({y:K.getVerticalPos(),height:0}),e.sectionTitles.push(t),this.sequenceItems.push(e)},saveVerticalPos:function(){this.isLoopOverlap()&&(this.savedVerticalPos=this.verticalPos)},resetVerticalPos:function(){this.isLoopOverlap()&&(this.verticalPos=this.savedVerticalPos)},bumpVerticalPos:function(t){this.verticalPos=this.verticalPos+t,this.data.stopy=i.e.getMax(this.data.stopy,this.verticalPos)},getVerticalPos:function(){return this.verticalPos},getBounds:function(){return{bounds:this.data,models:this.models}}},W=t=>({fontFamily:t.messageFontFamily,fontSize:t.messageFontSize,fontWeight:t.messageFontWeight}),X=t=>({fontFamily:t.noteFontFamily,fontSize:t.noteFontSize,fontWeight:t.noteFontWeight}),V=t=>({fontFamily:t.actorFontFamily,fontSize:t.actorFontSize,fontWeight:t.actorFontWeight});const Q=function(t,e,n,r){if(r){let r=0;K.bumpVerticalPos(2*G.boxMargin);for(const a of n){const n=e[a];n.stopy||(n.stopy=K.getVerticalPos());const o=Y.drawActor(t,n,G,!0);r=i.e.getMax(r,o)}K.bumpVerticalPos(r+G.boxMargin)}else for(const i of n){const n=e[i];Y.drawActor(t,n,G,!1)}},J=function(t,e,n,i){let r=0,a=0;for(const o of n){const n=e[o],s=rt(n),c=Y.drawPopup(t,n,s,G,G.forceMenus,i);c.height>r&&(r=c.height),c.width+n.x>a&&(a=c.width+n.x)}return{maxHeight:r,maxWidth:a}},tt=function(t){(0,i.f)(G,t),t.fontFamily&&(G.actorFontFamily=G.noteFontFamily=G.messageFontFamily=t.fontFamily),t.fontSize&&(G.actorFontSize=G.noteFontSize=G.messageFontSize=t.fontSize),t.fontWeight&&(G.actorFontWeight=G.noteFontWeight=G.messageFontWeight=t.fontWeight)},et=function(t){return K.activations.filter((function(e){return e.actor===t}))},nt=function(t,e){const n=e[t],r=et(t);return[r.reduce((function(t,e){return i.e.getMin(t,e.startx)}),n.x+n.width/2),r.reduce((function(t,e){return i.e.getMax(t,e.stopx)}),n.x+n.width/2)]};function it(t,e,n,r,a){K.bumpVerticalPos(n);let o=r;if(e.id&&e.message&&t[e.id]){const n=t[e.id].width,a=W(G);e.message=i.u.wrapLabel(`[${e.message}]`,n-2*G.wrapPadding,a),e.width=n,e.wrap=!0;const s=i.u.calculateTextDimensions(e.message,a),c=i.e.getMax(s.height,G.labelBoxHeight);o=r+c,i.l.debug(`${c} - ${e.message}`)}a(e),K.bumpVerticalPos(o)}const rt=function(t){let e=0;const n=V(G);for(const r in t.links){const t=i.u.calculateTextDimensions(r,n).width+2*G.wrapPadding+2*G.boxMargin;e<t&&(e=t)}return e};const at=function(t,e,n,r){const a={},o=[];let s,c,u;return t.forEach((function(t){switch(t.id=i.u.random({length:10}),t.type){case r.db.LINETYPE.LOOP_START:case r.db.LINETYPE.ALT_START:case r.db.LINETYPE.OPT_START:case r.db.LINETYPE.PAR_START:case r.db.LINETYPE.PAR_OVER_START:case r.db.LINETYPE.CRITICAL_START:case r.db.LINETYPE.BREAK_START:o.push({id:t.id,msg:t.message,from:Number.MAX_SAFE_INTEGER,to:Number.MIN_SAFE_INTEGER,width:0});break;case r.db.LINETYPE.ALT_ELSE:case r.db.LINETYPE.PAR_AND:case r.db.LINETYPE.CRITICAL_OPTION:t.message&&(s=o.pop(),a[s.id]=s,a[t.id]=s,o.push(s));break;case r.db.LINETYPE.LOOP_END:case r.db.LINETYPE.ALT_END:case r.db.LINETYPE.OPT_END:case r.db.LINETYPE.PAR_END:case r.db.LINETYPE.CRITICAL_END:case r.db.LINETYPE.BREAK_END:s=o.pop(),a[s.id]=s;break;case r.db.LINETYPE.ACTIVE_START:{const n=e[t.from?t.from.actor:t.to.actor],i=et(t.from?t.from.actor:t.to.actor).length,r=n.x+n.width/2+(i-1)*G.activationWidth/2,a={startx:r,stopx:r+G.activationWidth,actor:t.from.actor,enabled:!0};K.activations.push(a)}break;case r.db.LINETYPE.ACTIVE_END:{const e=K.activations.map((t=>t.actor)).lastIndexOf(t.from.actor);delete K.activations.splice(e,1)[0]}}void 0!==t.placement?(c=function(t,e,n){const r=e[t.from].x,a=e[t.to].x,o=t.wrap&&t.message;let s=i.u.calculateTextDimensions(o?i.u.wrapLabel(t.message,G.width,X(G)):t.message,X(G));const c={width:o?G.width:i.e.getMax(G.width,s.width+2*G.noteMargin),height:0,startx:e[t.from].x,stopx:0,starty:0,stopy:0,message:t.message};return t.placement===n.db.PLACEMENT.RIGHTOF?(c.width=o?i.e.getMax(G.width,s.width):i.e.getMax(e[t.from].width/2+e[t.to].width/2,s.width+2*G.noteMargin),c.startx=r+(e[t.from].width+G.actorMargin)/2):t.placement===n.db.PLACEMENT.LEFTOF?(c.width=o?i.e.getMax(G.width,s.width+2*G.noteMargin):i.e.getMax(e[t.from].width/2+e[t.to].width/2,s.width+2*G.noteMargin),c.startx=r-c.width+(e[t.from].width-G.actorMargin)/2):t.to===t.from?(s=i.u.calculateTextDimensions(o?i.u.wrapLabel(t.message,i.e.getMax(G.width,e[t.from].width),X(G)):t.message,X(G)),c.width=o?i.e.getMax(G.width,e[t.from].width):i.e.getMax(e[t.from].width,G.width,s.width+2*G.noteMargin),c.startx=r+(e[t.from].width-c.width)/2):(c.width=Math.abs(r+e[t.from].width/2-(a+e[t.to].width/2))+G.actorMargin,c.startx=r<a?r+e[t.from].width/2-G.actorMargin/2:a+e[t.to].width/2-G.actorMargin/2),o&&(c.message=i.u.wrapLabel(t.message,c.width-2*G.wrapPadding,X(G))),i.l.debug(`NM:[${c.startx},${c.stopx},${c.starty},${c.stopy}:${c.width},${c.height}=${t.message}]`),c}(t,e,r),t.noteModel=c,o.forEach((t=>{s=t,s.from=i.e.getMin(s.from,c.startx),s.to=i.e.getMax(s.to,c.startx+c.width),s.width=i.e.getMax(s.width,Math.abs(s.from-s.to))-G.labelBoxWidth}))):(u=function(t,e,n){let r=!1;if([n.db.LINETYPE.SOLID_OPEN,n.db.LINETYPE.DOTTED_OPEN,n.db.LINETYPE.SOLID,n.db.LINETYPE.DOTTED,n.db.LINETYPE.SOLID_CROSS,n.db.LINETYPE.DOTTED_CROSS,n.db.LINETYPE.SOLID_POINT,n.db.LINETYPE.DOTTED_POINT].includes(t.type)&&(r=!0),!r)return{};const a=nt(t.from,e),o=nt(t.to,e),s=a[0]<=o[0]?1:0,c=a[0]<o[0]?0:1,u=[...a,...o],l=Math.abs(o[c]-a[s]);t.wrap&&t.message&&(t.message=i.u.wrapLabel(t.message,i.e.getMax(l+2*G.wrapPadding,G.width),W(G)));const h=i.u.calculateTextDimensions(t.message,W(G));return{width:i.e.getMax(t.wrap?0:h.width+2*G.wrapPadding,l+2*G.wrapPadding,G.width),height:0,startx:a[s],stopx:o[c],starty:0,stopy:0,message:t.message,type:t.type,wrap:t.wrap,fromBounds:Math.min.apply(null,u),toBounds:Math.max.apply(null,u)}}(t,e,r),t.msgModel=u,u.startx&&u.stopx&&o.length>0&&o.forEach((n=>{if(s=n,u.startx===u.stopx){const n=e[t.from],r=e[t.to];s.from=i.e.getMin(n.x-u.width/2,n.x-n.width/2,s.from),s.to=i.e.getMax(r.x+u.width/2,r.x+n.width/2,s.to),s.width=i.e.getMax(s.width,Math.abs(s.to-s.from))-G.labelBoxWidth}else s.from=i.e.getMin(u.startx,s.from),s.to=i.e.getMax(u.stopx,s.to),s.width=i.e.getMax(s.width,u.width)-G.labelBoxWidth})))})),K.activations=[],i.l.debug("Loop type widths:",a),a},ot={parser:c,db:D,renderer:{bounds:K,drawActors:Q,drawActorsPopup:J,setConf:tt,draw:function(t,e,n,o){const{securityLevel:s,sequence:c}=(0,i.c)();let u;G=c,"sandbox"===s&&(u=(0,r.Ys)("#i"+e));const l="sandbox"===s?(0,r.Ys)(u.nodes()[0].contentDocument.body):(0,r.Ys)("body"),h="sandbox"===s?u.nodes()[0].contentDocument:document;K.init(),i.l.debug(o.db);const f="sandbox"===s?l.select(`[id="${e}"]`):(0,r.Ys)(`[id="${e}"]`),d=o.db.getActors(),g=o.db.getCreatedActors(),p=o.db.getDestroyedActors(),b=o.db.getBoxes();let w=o.db.getActorKeys();const y=o.db.getMessages(),m=o.db.getDiagramTitle(),v=o.db.hasAtLeastOneBox(),x=o.db.hasAtLeastOneBoxWithTitle(),k=function(t,e,n){const r={};return e.forEach((function(e){if(t[e.to]&&t[e.from]){const a=t[e.to];if(e.placement===n.db.PLACEMENT.LEFTOF&&!a.prevActor)return;if(e.placement===n.db.PLACEMENT.RIGHTOF&&!a.nextActor)return;const o=void 0!==e.placement,s=!o,c=o?X(G):W(G),u=e.wrap?i.u.wrapLabel(e.message,G.width-2*G.wrapPadding,c):e.message,l=i.u.calculateTextDimensions(u,c).width+2*G.wrapPadding;s&&e.from===a.nextActor?r[e.to]=i.e.getMax(r[e.to]||0,l):s&&e.from===a.prevActor?r[e.from]=i.e.getMax(r[e.from]||0,l):s&&e.from===e.to?(r[e.from]=i.e.getMax(r[e.from]||0,l/2),r[e.to]=i.e.getMax(r[e.to]||0,l/2)):e.placement===n.db.PLACEMENT.RIGHTOF?r[e.from]=i.e.getMax(r[e.from]||0,l):e.placement===n.db.PLACEMENT.LEFTOF?r[a.prevActor]=i.e.getMax(r[a.prevActor]||0,l):e.placement===n.db.PLACEMENT.OVER&&(a.prevActor&&(r[a.prevActor]=i.e.getMax(r[a.prevActor]||0,l/2)),a.nextActor&&(r[e.from]=i.e.getMax(r[e.from]||0,l/2)))}})),i.l.debug("maxMessageWidthPerActor:",r),r}(d,y,o);if(G.height=function(t,e,n){let r=0;Object.keys(t).forEach((e=>{const n=t[e];n.wrap&&(n.description=i.u.wrapLabel(n.description,G.width-2*G.wrapPadding,V(G)));const a=i.u.calculateTextDimensions(n.description,V(G));n.width=n.wrap?G.width:i.e.getMax(G.width,a.width+2*G.wrapPadding),n.height=n.wrap?i.e.getMax(a.height,G.height):G.height,r=i.e.getMax(r,n.height)}));for(const n in e){const r=t[n];if(!r)continue;const a=t[r.nextActor];if(!a){const t=e[n]+G.actorMargin-r.width/2;r.margin=i.e.getMax(t,G.actorMargin);continue}const o=e[n]+G.actorMargin-r.width/2-a.width/2;r.margin=i.e.getMax(o,G.actorMargin)}let a=0;return n.forEach((e=>{const n=W(G);let r=e.actorKeys.reduce(((e,n)=>e+(t[n].width+(t[n].margin||0))),0);r-=2*G.boxTextMargin,e.wrap&&(e.name=i.u.wrapLabel(e.name,r-2*G.wrapPadding,n));const o=i.u.calculateTextDimensions(e.name,n);a=i.e.getMax(o.height,a);const s=i.e.getMax(r,o.width+2*G.wrapPadding);if(e.margin=G.boxTextMargin,r<s){const t=(s-r)/2;e.margin+=t}})),n.forEach((t=>t.textMaxHeight=a)),i.e.getMax(r,G.height)}(d,k,b),Y.insertComputerIcon(f),Y.insertDatabaseIcon(f),Y.insertClockIcon(f),v&&(K.bumpVerticalPos(G.boxMargin),x&&K.bumpVerticalPos(b[0].textMaxHeight)),!0===G.hideUnusedParticipants){const t=new Set;y.forEach((e=>{t.add(e.from),t.add(e.to)})),w=w.filter((e=>t.has(e)))}!function(t,e,n,r,a,o,s){let c,u=0,l=0,h=0;for(const t of r){const r=e[t],o=r.box;c&&c!=o&&(s||K.models.addBox(c),l+=G.boxMargin+c.margin),o&&o!=c&&(s||(o.x=u+l,o.y=a),l+=o.margin),r.width=r.width||G.width,r.height=i.e.getMax(r.height||G.height,G.height),r.margin=r.margin||G.actorMargin,h=i.e.getMax(h,r.height),n[r.name]&&(l+=r.width/2),r.x=u+l,r.starty=K.getVerticalPos(),K.insert(r.x,a,r.x+r.width,r.height),u+=r.width+l,r.box&&(r.box.width=u+o.margin-r.box.x),l=r.margin,c=r.box,K.models.addActor(r)}c&&!s&&K.models.addBox(c),K.bumpVerticalPos(h)}(0,d,g,w,0,0,!1);const _=at(y,d,k,o);Y.insertArrowHead(f),Y.insertArrowCrossHead(f),Y.insertArrowFilledHead(f),Y.insertSequenceNumber(f);let E=1,T=1;const C=[],S=[];y.forEach((function(t,e){let n,r,s;switch(t.type){case o.db.LINETYPE.NOTE:K.resetVerticalPos(),r=t.noteModel,function(t,e){K.bumpVerticalPos(G.boxMargin),e.height=G.boxMargin,e.starty=K.getVerticalPos();const n=(0,a.g)();n.x=e.startx,n.y=e.starty,n.width=e.width||G.width,n.class="note";const i=t.append("g"),r=Y.drawRect(i,n),o=(0,a.e)();o.x=e.startx,o.y=e.starty,o.width=n.width,o.dy="1em",o.text=e.message,o.class="noteText",o.fontFamily=G.noteFontFamily,o.fontSize=G.noteFontSize,o.fontWeight=G.noteFontWeight,o.anchor=G.noteAlign,o.textMargin=G.noteMargin,o.valign="center";const s=R(i,o),c=Math.round(s.map((t=>(t._groups||t)[0][0].getBBox().height)).reduce(((t,e)=>t+e)));r.attr("height",c+2*G.noteMargin),e.height+=c+2*G.noteMargin,K.bumpVerticalPos(c+2*G.noteMargin),e.stopy=e.starty+c+2*G.noteMargin,e.stopx=e.startx+n.width,K.insert(e.startx,e.starty,e.stopx,e.stopy),K.models.addNote(e)}(f,r);break;case o.db.LINETYPE.ACTIVE_START:K.newActivation(t,f,d);break;case o.db.LINETYPE.ACTIVE_END:!function(t,e){const n=K.endActivation(t);n.starty+18>e&&(n.starty=e-6,e+=12),Y.drawActivation(f,n,e,G,et(t.from.actor).length),K.insert(n.startx,e-10,n.stopx,e)}(t,K.getVerticalPos());break;case o.db.LINETYPE.LOOP_START:it(_,t,G.boxMargin,G.boxMargin+G.boxTextMargin,(t=>K.newLoop(t)));break;case o.db.LINETYPE.LOOP_END:n=K.endLoop(),Y.drawLoop(f,n,"loop",G),K.bumpVerticalPos(n.stopy-K.getVerticalPos()),K.models.addLoop(n);break;case o.db.LINETYPE.RECT_START:it(_,t,G.boxMargin,G.boxMargin,(t=>K.newLoop(void 0,t.message)));break;case o.db.LINETYPE.RECT_END:n=K.endLoop(),S.push(n),K.models.addLoop(n),K.bumpVerticalPos(n.stopy-K.getVerticalPos());break;case o.db.LINETYPE.OPT_START:it(_,t,G.boxMargin,G.boxMargin+G.boxTextMargin,(t=>K.newLoop(t)));break;case o.db.LINETYPE.OPT_END:n=K.endLoop(),Y.drawLoop(f,n,"opt",G),K.bumpVerticalPos(n.stopy-K.getVerticalPos()),K.models.addLoop(n);break;case o.db.LINETYPE.ALT_START:it(_,t,G.boxMargin,G.boxMargin+G.boxTextMargin,(t=>K.newLoop(t)));break;case o.db.LINETYPE.ALT_ELSE:it(_,t,G.boxMargin+G.boxTextMargin,G.boxMargin,(t=>K.addSectionToLoop(t)));break;case o.db.LINETYPE.ALT_END:n=K.endLoop(),Y.drawLoop(f,n,"alt",G),K.bumpVerticalPos(n.stopy-K.getVerticalPos()),K.models.addLoop(n);break;case o.db.LINETYPE.PAR_START:case o.db.LINETYPE.PAR_OVER_START:it(_,t,G.boxMargin,G.boxMargin+G.boxTextMargin,(t=>K.newLoop(t))),K.saveVerticalPos();break;case o.db.LINETYPE.PAR_AND:it(_,t,G.boxMargin+G.boxTextMargin,G.boxMargin,(t=>K.addSectionToLoop(t)));break;case o.db.LINETYPE.PAR_END:n=K.endLoop(),Y.drawLoop(f,n,"par",G),K.bumpVerticalPos(n.stopy-K.getVerticalPos()),K.models.addLoop(n);break;case o.db.LINETYPE.AUTONUMBER:E=t.message.start||E,T=t.message.step||T,t.message.visible?o.db.enableSequenceNumbers():o.db.disableSequenceNumbers();break;case o.db.LINETYPE.CRITICAL_START:it(_,t,G.boxMargin,G.boxMargin+G.boxTextMargin,(t=>K.newLoop(t)));break;case o.db.LINETYPE.CRITICAL_OPTION:it(_,t,G.boxMargin+G.boxTextMargin,G.boxMargin,(t=>K.addSectionToLoop(t)));break;case o.db.LINETYPE.CRITICAL_END:n=K.endLoop(),Y.drawLoop(f,n,"critical",G),K.bumpVerticalPos(n.stopy-K.getVerticalPos()),K.models.addLoop(n);break;case o.db.LINETYPE.BREAK_START:it(_,t,G.boxMargin,G.boxMargin+G.boxTextMargin,(t=>K.newLoop(t)));break;case 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"+(c+1)+":\n"+d.showPosition()+"\nExpecting "+C.join(", ")+", got '"+(this.terminals_[m]||m)+"'":"Parse error on line "+(c+1)+": Unexpected "+(m==h?"end of input":"'"+(this.terminals_[m]||m)+"'"),this.parseError(A,{text:d.match,token:this.terminals_[m]||m,line:d.yylineno,loc:b,expected:C})}if(x[0]instanceof Array&&x.length>1)throw new Error("Parse Error: multiple actions possible at state: "+v+", token: "+m);switch(x[0]){case 1:n.push(m),r.push(d.yytext),a.push(d.yylloc),n.push(x[1]),m=null,u=d.yyleng,s=d.yytext,c=d.yylineno,b=d.yylloc;break;case 2:if(E=this.productions_[x[1]][1],S.$=r[r.length-E],S._$={first_line:a[a.length-(E||1)].first_line,last_line:a[a.length-1].last_line,first_column:a[a.length-(E||1)].first_column,last_column:a[a.length-1].last_column},w&&(S._$.range=[a[a.length-(E||1)].range[0],a[a.length-1].range[1]]),void 0!==(k=this.performAction.apply(S,[s,u,c,g.yy,x[1],r,a].concat(f))))return k;E&&(n=n.slice(0,-1*E*2),r=r.slice(0,-1*E),a=a.slice(0,-1*E)),n.push(this.productions_[x[1]][0]),r.push(S.$),a.push(S._$),T=o[n[n.length-2]][n[n.length-1]],n.push(T);break;case 3:return!0}}return!0}},K={EOF:1,parseError:function(t,e){if(!this.yy.parser)throw new Error(t);this.yy.parser.parseError(t,e)},setInput:function(t,e){return this.yy=e||this.yy||{},this._input=t,this._more=this._backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match="",this.conditionStack=["INITIAL"],this.yylloc={first_line:1,first_column:0,last_line:1,last_column:0},this.options.ranges&&(this.yylloc.range=[0,0]),this.offset=0,this},input:function(){var t=this._input[0];return this.yytext+=t,this.yyleng++,this.offset++,this.match+=t,this.matched+=t,t.match(/(?:\r\n?|\n).*/g)?(this.yylineno++,this.yylloc.last_line++):this.yylloc.last_column++,this.options.ranges&&this.yylloc.range[1]++,this._input=this._input.slice(1),t},unput:function(t){var e=t.length,n=t.split(/(?:\r\n?|\n)/g);this._input=t+this._input,this.yytext=this.yytext.substr(0,this.yytext.length-e),this.offset-=e;var i=this.match.split(/(?:\r\n?|\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),n.length-1&&(this.yylineno-=n.length-1);var r=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:n?(n.length===i.length?this.yylloc.first_column:0)+i[i.length-n.length].length-n[0].length:this.yylloc.first_column-e},this.options.ranges&&(this.yylloc.range=[r[0],r[0]+this.yyleng-e]),this.yyleng=this.yytext.length,this},more:function(){return this._more=!0,this},reject:function(){return this.options.backtrack_lexer?(this._backtrack=!0,this):this.parseError("Lexical error on line "+(this.yylineno+1)+". You can only invoke reject() in the lexer when the lexer is of the backtracking persuasion (options.backtrack_lexer = true).\n"+this.showPosition(),{text:"",token:null,line:this.yylineno})},less:function(t){this.unput(this.match.slice(t))},pastInput:function(){var t=this.matched.substr(0,this.matched.length-this.match.length);return(t.length>20?"...":"")+t.substr(-20).replace(/\n/g,"")},upcomingInput:function(){var t=this.match;return t.length<20&&(t+=this._input.substr(0,20-t.length)),(t.substr(0,20)+(t.length>20?"...":"")).replace(/\n/g,"")},showPosition:function(){var t=this.pastInput(),e=new Array(t.length+1).join("-");return t+this.upcomingInput()+"\n"+e+"^"},test_match:function(t,e){var n,i,r;if(this.options.backtrack_lexer&&(r={yylineno:this.yylineno,yylloc:{first_line:this.yylloc.first_line,last_line:this.last_line,first_column:this.yylloc.first_column,last_column:this.yylloc.last_column},yytext:this.yytext,match:this.match,matches:this.matches,matched:this.matched,yyleng:this.yyleng,offset:this.offset,_more:this._more,_input:this._input,yy:this.yy,conditionStack:this.conditionStack.slice(0),done:this.done},this.options.ranges&&(r.yylloc.range=this.yylloc.range.slice(0))),(i=t[0].match(/(?:\r\n?|\n).*/g))&&(this.yylineno+=i.length),this.yylloc={first_line:this.yylloc.last_line,last_line:this.yylineno+1,first_column:this.yylloc.last_column,last_column:i?i[i.length-1].length-i[i.length-1].match(/\r?\n?/)[0].length:this.yylloc.last_column+t[0].length},this.yytext+=t[0],this.match+=t[0],this.matches=t,this.yyleng=this.yytext.length,this.options.ranges&&(this.yylloc.range=[this.offset,this.offset+=this.yyleng]),this._more=!1,this._backtrack=!1,this._input=this._input.slice(t[0].length),this.matched+=t[0],n=this.performAction.call(this,this.yy,this,e,this.conditionStack[this.conditionStack.length-1]),this.done&&this._input&&(this.done=!1),n)return n;if(this._backtrack){for(var a in r)this[a]=r[a];return!1}return!1},next:function(){if(this.done)return this.EOF;var t,e,n,i;this._input||(this.done=!0),this._more||(this.yytext="",this.match="");for(var r=this._currentRules(),a=0;a<r.length;a++)if((n=this._input.match(this.rules[r[a]]))&&(!e||n[0].length>e[0].length)){if(e=n,i=a,this.options.backtrack_lexer){if(!1!==(t=this.test_match(n,r[a])))return t;if(this._backtrack){e=!1;continue}return!1}if(!this.options.flex)break}return e?!1!==(t=this.test_match(e,r[i]))&&t:""===this._input?this.EOF:this.parseError("Lexical error on line "+(this.yylineno+1)+". Unrecognized text.\n"+this.showPosition(),{text:"",token:null,line:this.yylineno})},lex:function(){var t=this.next();return t||this.lex()},begin:function(t){this.conditionStack.push(t)},popState:function(){return this.conditionStack.length-1>0?this.conditionStack.pop():this.conditionStack[0]},_currentRules:function(){return this.conditionStack.length&&this.conditionStack[this.conditionStack.length-1]?this.conditions[this.conditionStack[this.conditionStack.length-1]].rules:this.conditions.INITIAL.rules},topState:function(t){return(t=this.conditionStack.length-1-Math.abs(t||0))>=0?this.conditionStack[t]:"INITIAL"},pushState:function(t){this.begin(t)},stateStackSize:function(){return this.conditionStack.length},options:{},performAction:function(t,e,n,i){switch(n){case 0:return this.begin("open_directive"),19;case 1:return 8;case 2:return 9;case 3:return 10;case 4:return 11;case 5:return this.begin("type_directive"),20;case 6:return this.popState(),this.begin("arg_directive"),17;case 7:return this.popState(),this.popState(),22;case 8:return 21;case 9:case 10:case 19:case 34:case 39:case 43:case 50:break;case 11:return this.begin("acc_title"),44;case 12:return this.popState(),"acc_title_value";case 13:return this.begin("acc_descr"),46;case 14:return this.popState(),"acc_descr_value";case 15:this.begin("acc_descr_multiline");break;case 16:case 24:case 27:case 29:case 61:case 64:this.popState();break;case 17:return"acc_descr_multiline_value";case 18:case 38:return 16;case 20:case 21:return 23;case 22:case 40:case 48:return"EDGE_STATE";case 23:this.begin("callback_name");break;case 25:this.popState(),this.begin("callback_args");break;case 26:return 79;case 28:return 80;case 30:return"STR";case 31:this.begin("string");break;case 32:return this.begin("namespace"),53;case 33:case 42:return this.popState(),16;case 35:return this.begin("namespace-body"),50;case 36:case 46:return this.popState(),52;case 37:case 47:return"EOF_IN_STRUCT";case 41:return this.begin("class"),57;case 44:return this.popState(),this.popState(),52;case 45:return this.begin("class-body"),50;case 49:return"OPEN_IN_STRUCT";case 51:return"MEMBER";case 52:return 82;case 53:return 75;case 54:return 76;case 55:return 78;case 56:return 63;case 57:return 65;case 58:return 58;case 59:return 59;case 60:return 81;case 62:return"GENERICTYPE";case 63:this.begin("generic");break;case 65:return"BQUOTE_STR";case 66:this.begin("bqstring");break;case 67:case 68:case 69:case 70:return 77;case 71:case 72:return 69;case 73:case 74:return 71;case 75:return 70;case 76:return 68;case 77:return 72;case 78:return 73;case 79:return 74;case 80:return 36;case 81:return 55;case 82:return 94;case 83:return"DOT";case 84:return"PLUS";case 85:return 91;case 86:case 87:return"EQUALS";case 88:return 98;case 89:return 27;case 90:return 29;case 91:return"PUNCTUATION";case 92:return 97;case 93:return 96;case 94:return 93;case 95:return 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P(){this.yy={}}return O.lexer=N,P.prototype=O,O.Parser=P,new P}();r.parser=r;const a=r,o="TB",s="state",c="relation",u="default",l="divider",h="[*]",f="start",d="color",g="fill";let p="LR",b=[],w={};let y={root:{relations:[],states:{},documents:{}}},m=y.root,v=0,x=0;const k=t=>JSON.parse(JSON.stringify(t)),_=(t,e,n)=>{if(e.stmt===c)_(t,e.state1,!0),_(t,e.state2,!1);else if(e.stmt===s&&("[*]"===e.id?(e.id=n?t.id+"_start":t.id+"_end",e.start=n):e.id=e.id.trim()),e.doc){const t=[];let n,r=[];for(n=0;n<e.doc.length;n++)if(e.doc[n].type===l){const i=k(e.doc[n]);i.doc=k(r),t.push(i),r=[]}else r.push(e.doc[n]);if(t.length>0&&r.length>0){const n={stmt:s,id:(0,i.I)(),type:"divider",doc:k(r)};t.push(k(n)),e.doc=t}e.doc.forEach((t=>_(e,t,!0)))}},E=function(t,e=u,n=null,r=null,a=null,o=null,s=null,c=null){const l=null==t?void 0:t.trim();if(void 0===m.states[l]?(i.l.info("Adding state 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${t.stateBorder||t.nodeBorder};\n}\n\n.statediagram-state .title-state {\n  rx: 5px;\n  ry: 5px;\n}\n.statediagram-cluster.statediagram-cluster .inner {\n  fill: ${t.compositeBackground||t.background};\n}\n.statediagram-cluster.statediagram-cluster-alt .inner {\n  fill: ${t.altBackground?t.altBackground:"#efefef"};\n}\n\n.statediagram-cluster .inner {\n  rx:0;\n  ry:0;\n}\n\n.statediagram-state rect.basic {\n  rx: 5px;\n  ry: 5px;\n}\n.statediagram-state rect.divider {\n  stroke-dasharray: 10,10;\n  fill: ${t.altBackground?t.altBackground:"#efefef"};\n}\n\n.note-edge {\n  stroke-dasharray: 5;\n}\n\n.statediagram-note rect {\n  fill: ${t.noteBkgColor};\n  stroke: ${t.noteBorderColor};\n  stroke-width: 1px;\n  rx: 0;\n  ry: 0;\n}\n.statediagram-note rect {\n  fill: ${t.noteBkgColor};\n  stroke: ${t.noteBorderColor};\n  stroke-width: 1px;\n  rx: 0;\n  ry: 0;\n}\n\n.statediagram-note text {\n  fill: ${t.noteTextColor};\n}\n\n.statediagram-note .nodeLabel {\n  color: 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