diff --git a/.github/workflows/R-CMD-check-ubuntu.yaml b/.github/workflows/R-CMD-check-ubuntu.yaml index 7d76849..96debc5 100644 --- a/.github/workflows/R-CMD-check-ubuntu.yaml +++ b/.github/workflows/R-CMD-check-ubuntu.yaml @@ -24,8 +24,8 @@ jobs: fail-fast: false matrix: config: - - {os: ubuntu-20.04, r: 'release'} - - {os: ubuntu-20.04, r: 'devel'} + - {os: ubuntu-22.04, r: 'release'} + - {os: ubuntu-22.04, r: 'devel'} env: _R_REMOTES_NO_ERRORS_FROM_WARNINGS_: true @@ -56,7 +56,8 @@ jobs: - name: Install system dependencies run: | - sudo apt-get install libnlopt-dev coinor-libsymphony-dev + sudo apt-get -y install \ + libnlopt-dev coinor-libsymphony-dev - uses: r-lib/actions/setup-r-dependencies@v2 with: diff --git a/.github/workflows/documentation.yaml b/.github/workflows/documentation.yaml index a0185ea..5c54636 100644 --- a/.github/workflows/documentation.yaml +++ b/.github/workflows/documentation.yaml @@ -92,8 +92,9 @@ jobs: - name: Check URLs if: runner.os == 'Linux' && matrix.config.r == 'release' run: | + d <- suppressWarnings(readLines("inst/URLLIST")) result <- urlchecker::url_check() - result <- result[!startsWith(result$URL, "https://doi.org/"), , drop = FALSE] + result <- result[!result$URL %in% d, , drop = FALSE] if (nrow(result) > 0) { print(result) stop("Invalid URLs detected") diff --git a/DESCRIPTION b/DESCRIPTION index 75375c1..dd3764d 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,6 +1,6 @@ Package: surveyvoi Type: Package -Version: 1.1.0.1 +Version: 1.1.0.2 Title: Survey Value of Information Description: Decision support tool for prioritizing sites for ecological surveys based on their potential to improve plans for conserving @@ -35,7 +35,7 @@ Imports: parallel, progress (>= 1.2.2), assertthat (>= 0.2.0), - xgboost (>= 1.5.2.1), + xgboost (>= 1.7.8.1), plyr (>= 1.8.4), withr (>= 2.1.2), tibble (>= 2.1.3), @@ -84,7 +84,7 @@ SystemRequirements: URL: https://prioritizr.github.io/surveyvoi/ BugReports: https://github.com/prioritizr/surveyvoi/issues VignetteBuilder: knitr -RoxygenNote: 7.3.1 +RoxygenNote: 7.3.2 Encoding: UTF-8 Biarch: true Collate: diff --git a/NEWS.md b/NEWS.md index 1208336..ecc2e8e 100644 --- a/NEWS.md +++ b/NEWS.md @@ -1,3 +1,9 @@ +# surveyvoi 1.1.0.2 + +- Fix bug in `fit_xgb_occupancy_models()` that caused an error during model + fitting due to failed predictions. +- Fix package citation. + # surveyvoi 1.1.0.1 - Fix bug in `greedy_heuristic_algorithm()` function so that it returns a diff --git a/R/fit_xgb_occupancy_models.R b/R/fit_xgb_occupancy_models.R index 63d9fa5..14d38ae 100644 --- a/R/fit_xgb_occupancy_models.R +++ b/R/fit_xgb_occupancy_models.R @@ -399,12 +399,10 @@ fit_xgb_occupancy_models <- function( ## make predictions p_train_k <- c(withr::with_package("xgboost", stats::predict( - m_k, xgboost::xgb.DMatrix(x_train_k, nthread = n_threads), - iterationrange = c(1, nround_k + 1)))) + m_k, xgboost::xgb.DMatrix(x_train_k, nthread = n_threads)))) p_test_k <- c(withr::with_package("xgboost", stats::predict( - m_k, xgboost::xgb.DMatrix(x_test_k, nthread = n_threads), - iterationrange = c(1, nround_k + 1)))) + m_k, xgboost::xgb.DMatrix(x_test_k, nthread = n_threads)))) ## validate predictions assertthat::assert_that(all(p_train_k >= 0), all(p_train_k <= 1), msg = "xgboost predictions are not between zero and one") @@ -449,8 +447,7 @@ fit_xgb_occupancy_models <- function( function(x) { ## generate predictions out <- c(withr::with_package("xgboost", stats::predict( - x, xgboost::xgb.DMatrix(site_env_data, nthread = n_threads), - iterationrange = c(1, x$best_iteration + 1) + x, xgboost::xgb.DMatrix(site_env_data, nthread = n_threads) ))) ## validate predictions assertthat::assert_that( @@ -556,10 +553,7 @@ tune_model <- function(data, folds, survey_sensitivity, survey_specificity, }) ### generate predictions yhat_test <- c(withr::with_package("xgboost", - stats::predict( - model, dtest[[k]], - iterationrange = c(1, model$best_iteration + 1) - ))) + stats::predict(model, dtest[[k]]))) ### validate predictions assertthat::assert_that(all(yhat_test >= 0), all(yhat_test <= 1), msg = "xgboost predictions are not between zero and one") @@ -568,7 +562,7 @@ tune_model <- function(data, folds, survey_sensitivity, survey_specificity, data[[k]]$test$y, yhat_test, data[[k]]$test$w, survey_sensitivity, survey_specificity)[[1]] ## check that model evaluations are consistent - assertthat::assert_that(abs(perf - model$best_score) < 1e-5) + assertthat::assert_that(abs(perf - model$best_score) < 1e-2) ### return result list(eval = perf, model = model) }) diff --git a/README.Rmd b/README.Rmd index 91a1840..92f48ba 100644 --- a/README.Rmd +++ b/README.Rmd @@ -23,9 +23,16 @@ knitr::opts_chunk$set(fig.path = "man/figures/README-", fig.align = "center") ```{r "initialization", include = FALSE} devtools::load_all() -h = 2.75 -w = 3.0 -ow = "400" +h = 3.5 +w = 5.0 +ow = "350" +knitr::opts_chunk$set( + fig.height = h, + fig.width = w, + out.width = ow, + fig.path = "man/figures/README-", + fig.align = "center" +) ``` The _surveyvoi_ package is a decision support tool for prioritizing sites for ecological surveys based on their potential to improve plans for conserving biodiversity (e.g. plans for establishing protected areas). Given a set of sites that could potentially be acquired for conservation management -- wherein some sites have previously been surveyed and other sites have not -- this package provides functionality to generate and evaluate plans for additional surveys. Specifically, plans for ecological surveys can be generated using various conventional approaches (e.g. maximizing expected species richness, geographic coverage, diversity of sampled environmental conditions) and by maximizing value of information. After generating plans for surveys, they can also be evaluated using value of information analysis. Please note that several functions depend on the Gurobi optimization software (available from https://www.gurobi.com). Additionally, the JAGS software (available from https://mcmc-jags.sourceforge.io/) is required to fit hierarchical generalized linear models. @@ -103,24 +110,24 @@ data(sim_sites) # print table print(sim_sites, width = Inf) -```{r "management_cost_plot", fig.height = h, fig.width = w} +```{r "management_cost_plot"} # plot cost of protecting each site ggplot(sim_sites) + geom_sf(aes(color = management_cost), size = 4) + ggtitle("management_cost") + -theme(legend.title = element_blank()) +theme(legend.title = element_blank(), text = element_text(size = 16)) ``` -```{r "survey_cost_plot", fig.height = h, fig.width = w} +```{r "survey_cost_plot"} # plot cost of conducting an additional survey in each site # note that these costs are much lower than the protection costs ggplot(sim_sites) + geom_sf(aes(color = survey_cost), size = 4) + ggtitle("survey_cost") + -theme(legend.title = element_blank()) +theme(legend.title = element_blank(), text = element_text(size = 16)) ``` -```{r "n_plot", fig.height = h, fig.width = w * 2.25} +```{r "n_plot", fig.height = h, fig.width = w * 2.4, out.width = "800"} # plot survey data ## n1, n2, n3: number of surveys in each site that looked for each feature sim_sites %>% @@ -128,10 +135,11 @@ select(n1, n2, n3) %>% gather(name, value, -geometry) %>% ggplot() + geom_sf(aes(color = value), size = 4) + -facet_wrap(~name, nrow = 1) +facet_wrap(~name, nrow = 1) + +theme(text = element_text(size = 16)) ``` -```{r "f_plot", fig.height = h, fig.width = w * 2.25} +```{r "f_plot", fig.height = h, fig.width = w * 2.4, out.width = "800"} # plot survey results ## f1, f2, f3: proportion of surveys in each site that looked for each feature ## that detected the feature @@ -141,10 +149,11 @@ gather(name, value, -geometry) %>% ggplot() + geom_sf(aes(color = value), size = 4) + facet_wrap(~name, nrow = 1) + -scale_color_continuous(limits = c(0, 1)) +scale_color_continuous(limits = c(0, 1)) + +theme(text = element_text(size = 16)) ``` -```{r "p_plot", fig.height = h, fig.width = w * 2.25} +```{r "p_plot", fig.height = h, fig.width = w * 2.4, out.width = "800"} # plot modeled probability of occupancy data sim_sites %>% select(p1, p2, p3) %>% @@ -152,7 +161,8 @@ gather(name, value, -geometry) %>% ggplot() + geom_sf(aes(color = value), size = 4) + facet_wrap(~name, nrow = 1) + -scale_color_continuous(limits = c(0, 1)) +scale_color_continuous(limits = c(0, 1)) + +theme(text = element_text(size = 16)) ``` Next, we will load the `sim_features` object. This table contains information on the conservation features (e.g. species). Specifically, each row corresponds to a different feature, and each column contains information associated with the features. In this table, the `"name"` column contains the name of each feature; `"survey"` column indicates whether future surveys would look for this species; `"survey_sensitivity"` and `"survey_specificity"` columns denote the sensitivity (true positive rate) and specificity (true negative rate) for the survey methodology for correctly detecting the feature; `"model_sensitivity"` and `"model_specificity"` columns denote the sensitivity (true positive rate) and specificity (true negative rate) for the species distribution models fitted for each feature; and `"target"` column denotes the required number of protected sites for each feature (termed "representation target", each feature has a target of `r sim_features$target[1]` site). @@ -203,7 +213,7 @@ assertthat::assert_that( ) ``` -```{r "survey_scheme_plot", fig.height = h, fig.width = w * 1.5} +```{r "survey_scheme_plot"} # the opt_scheme object is a matrix that contains the survey schemes # each column corresponds to a different site, # and each row corresponds to a different solution @@ -220,7 +230,7 @@ sim_sites$scheme <- c(opt_scheme[1, ]) ggplot(sim_sites) + geom_sf(aes(color = scheme), size = 4) + ggtitle("scheme") + -theme(legend.title = element_blank()) +theme(text = element_text(size = 16)) ``` This has just been a taster of the _surveyvoi R_ package. In addition to this functionality, it can be used to evaluate survey schemes using value of information analysis. Furthermore, it can be used to generate survey schemes using conventional approaches (e.g. sampling environmental gradients, and selecting places with highly uncertain information). For more information, see the [package vignette](https://prioritizr.github.io/surveyvoi/articles/surveyvoi.html). diff --git a/README.md b/README.md index 2c6437d..1390417 100644 --- a/README.md +++ b/README.md @@ -11,7 +11,7 @@ [![Documentation](https://img.shields.io/github/actions/workflow/status/prioritizr/surveyvoi/documentation.yaml?branch=master&label=Documentation)](https://github.com/prioritizr/surveyvoi/actions) [![Coverage Status](https://img.shields.io/codecov/c/github/prioritizr/surveyvoi?label=Coverage)](https://app.codecov.io/gh/prioritizr/surveyvoi/branch/master) -[![CRAN\_Status\_Badge](http://www.r-pkg.org/badges/version/surveyvoi)](https://CRAN.R-project.org/package=surveyvoi) +[![CRAN_Status_Badge](http://www.r-pkg.org/badges/version/surveyvoi)](https://CRAN.R-project.org/package=surveyvoi) The *surveyvoi* package is a decision support tool for prioritizing sites for ecological surveys based on their potential to improve plans @@ -72,8 +72,8 @@ They can be installed using the following system commands: #### Linux -For Unix-alikes, `gmp` (>= 4.2.3), `mpfr` (>= 3.0.0), `fftw3` -(>= 3.3), and `symphony` (>= 5.6.16) are required. +For Unix-alikes, `gmp` (\>= 4.2.3), `mpfr` (\>= 3.0.0), `fftw3` (\>= +3.3), and `symphony` (\>= 5.6.16) are required. #### macOS @@ -181,10 +181,10 @@ print(sim_sites, width = Inf) ggplot(sim_sites) + geom_sf(aes(color = management_cost), size = 4) + ggtitle("management_cost") + -theme(legend.title = element_blank()) +theme(legend.title = element_blank(), text = element_text(size = 16)) ``` - + ``` r # plot cost of conducting an additional survey in each site @@ -192,10 +192,10 @@ theme(legend.title = element_blank()) ggplot(sim_sites) + geom_sf(aes(color = survey_cost), size = 4) + ggtitle("survey_cost") + -theme(legend.title = element_blank()) +theme(legend.title = element_blank(), text = element_text(size = 16)) ``` - + ``` r # plot survey data @@ -205,10 +205,11 @@ select(n1, n2, n3) %>% gather(name, value, -geometry) %>% ggplot() + geom_sf(aes(color = value), size = 4) + -facet_wrap(~name, nrow = 1) +facet_wrap(~name, nrow = 1) + +theme(text = element_text(size = 16)) ``` - + ``` r # plot survey results @@ -220,10 +221,11 @@ gather(name, value, -geometry) %>% ggplot() + geom_sf(aes(color = value), size = 4) + facet_wrap(~name, nrow = 1) + -scale_color_continuous(limits = c(0, 1)) +scale_color_continuous(limits = c(0, 1)) + +theme(text = element_text(size = 16)) ``` - + ``` r # plot modeled probability of occupancy data @@ -233,10 +235,11 @@ gather(name, value, -geometry) %>% ggplot() + geom_sf(aes(color = value), size = 4) + facet_wrap(~name, nrow = 1) + -scale_color_continuous(limits = c(0, 1)) +scale_color_continuous(limits = c(0, 1)) + +theme(text = element_text(size = 16)) ``` - + Next, we will load the `sim_features` object. This table contains information on the conservation features (e.g. species). Specifically, @@ -345,10 +348,10 @@ sim_sites$scheme <- c(opt_scheme[1, ]) ggplot(sim_sites) + geom_sf(aes(color = scheme), size = 4) + ggtitle("scheme") + -theme(legend.title = element_blank()) +theme(text = element_text(size = 16)) ``` - + This has just been a taster of the *surveyvoi R* package. In addition to this functionality, it can be used to evaluate survey schemes using diff --git a/_pkgdown.yml b/_pkgdown.yml index d011202..ab9c1a6 100644 --- a/_pkgdown.yml +++ b/_pkgdown.yml @@ -11,6 +11,7 @@ authors: href: https://josephrbennett.wordpress.com template: + bootstrap: 5 params: bootswatch: flatly diff --git a/cran-comments.md b/cran-comments.md index 8bc25b7..381b350 100644 --- a/cran-comments.md +++ b/cran-comments.md @@ -1,6 +1,6 @@ Dear CRAN volunteers, -Thank you for reviewing this submission. This submission contains updates for the _surveyvoi_ package to fix (i) aliasing for the package manual entry, (ii) uneeded C++11 specification, and (iii) installation for Windows on arm64 systems. +Thank you for reviewing this submission. This submission contains minor updates for the _surveyvoi_ package to (i) improve algorithmic performance, (ii) fix a typo in the citation, and (iii) improve compatibility with updates to dependencies. Cheers, @@ -10,8 +10,8 @@ Jeff * [Debian (testing), R-release](https://github.com/r-devel/rcheckserver) ([based on rcheckserver](https://statmath.wu.ac.at/AASC/debian/)) * [Fedora 33, clang, R-devel](https://github.com/prioritizr/surveyvoi/actions?query=workflow%3AFedora) -* [Ubuntu 20.04, R-release](https://github.com/prioritizr/surveyvoi/actions?query=workflow%3AUbuntu) -* [Ubuntu 20.04, R-devel](https://github.com/prioritizr/surveyvoi/actions?query=workflow%3AUbuntu) +* [Ubuntu 22.04, R-release](https://github.com/prioritizr/surveyvoi/actions?query=workflow%3AUbuntu) +* [Ubuntu 22.04, R-devel](https://github.com/prioritizr/surveyvoi/actions?query=workflow%3AUbuntu) * [macOS 10.15, R-release](https://github.com/prioritizr/surveyvoi/actions?query=workflow%3A%22Mac+OSX%22) * [macOS 11.5.2 (arm64), R-release (macOS builder)](https://mac.r-project.org/macbuilder/submit.html) * [Windows Server 2019, R-release](https://github.com/prioritizr/surveyvoi/actions?query=workflow%3AWindows) diff --git a/docs/404.html b/docs/404.html index d39d55b..99faee4 100644 --- a/docs/404.html +++ b/docs/404.html @@ -4,103 +4,73 @@ - + Page not found (404) • surveyvoi - - - - - - - + + + + + - - - -
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+

Page not found (404)

+
Content not found. Please use links in the navbar. -
- - - +
- -
- - + diff --git a/docs/articles/index.html b/docs/articles/index.html index bbef255..b9ddd4c 100644 --- a/docs/articles/index.html +++ b/docs/articles/index.html @@ -1,79 +1,60 @@ -Articles • surveyvoi - - -
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Articles

All vignettes

-

+
surveyvoi: Survey Value of Information
-
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+
-
+ - - diff --git a/docs/articles/surveyvoi.html b/docs/articles/surveyvoi.html index 5c70c36..5e425fb 100644 --- a/docs/articles/surveyvoi.html +++ b/docs/articles/surveyvoi.html @@ -4,79 +4,61 @@ - + surveyvoi: Survey Value of Information • surveyvoi - - - - - - - - + + + + + - - + + Skip to contents + + +
- -
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-

surveyvoi: Survey Value of Information

-

Jeffrey O. Hanson

+ + +
+
+ +

surveyvoi: Survey Value of Information

+

Jeffrey O. +Hanson

-

2024-07-24

+

2024-09-23

Source: vignettes/surveyvoi.Rmd - - +
surveyvoi.Rmd
@@ -84,14 +66,53 @@

2024-07-24

Introduction

-

The funding available for conservation is limited. To ensure that conservation funds are allocated cost-effectively, conservation plans (termed prioritizations) can be developed – using a combination of economic, biodiversity, and land-use data – to prioritize a set of sites for conservation management (e.g. protected area establishment). However, existing data on biodiversity patterns are incomplete. As a consequence, prioritizations can potentially be improved by collecting additional data. Specifically, ecological surveys can be conducted in sites to learn more about which species are present within them. However, conducting ecological surveys reduces the funds available for conservation management. Thus, decision makers need to strategically allocate funding for surveying sites and managing them for conservation—this is not a trivial task.

-

The surveyvoi R package is a decision support tool for prioritizing sites for ecological surveys based on their potential to improve plans for conserving biodiversity (e.g. plans for establishing protected areas). Given a set of sites that could potentially be acquired for conservation management – wherein some sites have previously been surveyed and other sites have not – it can be used to generate and evaluate plans for additional surveys. Specifically, plans for ecological surveys can be generated using various conventional approaches (e.g. maximizing expected species richness, geographic coverage, diversity of sampled environmental conditions) and directly maximizing value of information using optimization algorithms. After generating plans for surveys, they can also be evaluated using value of information analysis. Please note that several functions depend on the ‘Gurobi’ optimization software (available from https://www.gurobi.com) and the gurobi R package (installation instructions available for online Linux, Windows, and Mac OS).

-

This tutorial provides a brief overview of the surveyvoi R package. Here, we will simulate survey data, fit statistical models to characterize the spatial distribution of a simulated species, and generate and evaluate survey schemes based on different approaches. Although this tutorial deals with only a single simulated species – to keep the tutorial simple and reduce computational burden – the functions used in this tutorial are designed to work with multiple species. If you want to learn more about a specific function, please consult the documentation written specifically for the function (accessible using the R code ?function, where function is the name of desired function).

+

The funding available for conservation is limited. To ensure that +conservation funds are allocated cost-effectively, conservation plans +(termed prioritizations) can be developed – using a combination of +economic, biodiversity, and land-use data – to prioritize a set of sites +for conservation management (e.g. protected area establishment). +However, existing data on biodiversity patterns are incomplete. As a +consequence, prioritizations can potentially be improved by collecting +additional data. Specifically, ecological surveys can be conducted in +sites to learn more about which species are present within them. +However, conducting ecological surveys reduces the funds available for +conservation management. Thus, decision makers need to strategically +allocate funding for surveying sites and managing them for +conservation—this is not a trivial task.

+

The surveyvoi R package is a decision support tool for +prioritizing sites for ecological surveys based on their potential to +improve plans for conserving biodiversity (e.g. plans for establishing +protected areas). Given a set of sites that could potentially be +acquired for conservation management – wherein some sites have +previously been surveyed and other sites have not – it can be used to +generate and evaluate plans for additional surveys. Specifically, plans +for ecological surveys can be generated using various conventional +approaches (e.g. maximizing expected species richness, geographic +coverage, diversity of sampled environmental conditions) and directly +maximizing value of information using optimization algorithms. After +generating plans for surveys, they can also be evaluated using value of +information analysis. Please note that several functions depend on the +‘Gurobi’ optimization software (available from https://www.gurobi.com) +and the gurobi R package (installation +instructions available for online Linux, Windows, and Mac OS).

+

This tutorial provides a brief overview of the surveyvoi R +package. Here, we will simulate survey data, fit statistical models to +characterize the spatial distribution of a simulated species, and +generate and evaluate survey schemes based on different approaches. +Although this tutorial deals with only a single simulated species – to +keep the tutorial simple and reduce computational burden – the functions +used in this tutorial are designed to work with multiple species. If you +want to learn more about a specific function, please consult the +documentation written specifically for the function (accessible using +the R code ?function, where function is the +name of desired function).

Setup

-

Let’s start by setting up our R session. Here we will load some R packages and pre-set the random number generators for reproducibility.

+

Let’s start by setting up our R session. Here we will load some R +packages and pre-set the random number generators for +reproducibility.

 # load packages
 library(tidyr)
@@ -111,7 +132,16 @@ 
Setup
 

 
Simulate data
 

-
Let’s simulate some data. To keep things simple, we will simulate data for 30 sites and one conservation feature (e.g. species). Of the 30 sites in total, we will simulate survey data for 15 sites—meaning that 15 of the sites will not have survey data. We will also simulate three spatially auto-correlated variables to characterize the environmental conditions within the sites. Although the simulation code (i.e. simulate_site_data) can output the probability that features are expected to inhabit the sites, we will disable this option to make our simulation study more realistic and instead predict these probabilities using statistical models.

+
Let’s simulate some data. To keep things simple, we will simulate
+data for 30 sites and one conservation feature (e.g. species). Of the 30
+sites in total, we will simulate survey data for 15 sites—meaning that
+15 of the sites will not have survey data. We will also simulate three
+spatially auto-correlated variables to characterize the environmental
+conditions within the sites. Although the simulation code
+(i.e. simulate_site_data) can output the probability that
+features are expected to inhabit the sites, we will disable this option
+to make our simulation study more realistic and instead predict these
+probabilities using statistical models.

 
 # simulate site data
 site_data <- simulate_site_data(
@@ -159,8 +189,25 @@ 
Simulate dataggtitle("Sites") +
   labs(x = "X coordinate", y = "Y coordinate")

 

-
The site_data object is a spatially explicit dataset (i.e. sf object) that contains information on the site locations and additional site attributes. Here, each row corresponds to a different site, and each column contains a different site attribute. The f1 column contains the results from previous surveys, where values describe the proportion of previous surveys where species were previously detected at each site. Since each site has had at most a single previous survey, these data contain zeros (indicating that the species has not been detected) and ones (indicating that the species has been detected). The n1 column contains the number of previous surveys conducted within each site. Thus, sites with zeros in this column have not previously been surveyed. The e1, e2, and e3 columns contain environmental information for each site (e.g. normalized temperature and rainfall data). The survey_cost column contains the cost of surveying each site, and the management_cost column contains the cost of managing each site for conservation.

-
To help understand the simulated data, let’s create some visualizations.

+
The site_data object is a spatially explicit dataset
+(i.e. sf object) that contains information on the site
+locations and additional site attributes. Here, each row corresponds to
+a different site, and each column contains a different site attribute.
+The f1 column contains the results from previous surveys,
+where values describe the proportion of previous surveys where species
+were previously detected at each site. Since each site has had at most a
+single previous survey, these data contain zeros (indicating that the
+species has not been detected) and ones (indicating that the species has
+been detected). The n1 column contains the number of
+previous surveys conducted within each site. Thus, sites with zeros in
+this column have not previously been surveyed. The e1,
+e2, and e3 columns contain environmental
+information for each site (e.g. normalized temperature and rainfall
+data). The survey_cost column contains the cost of
+surveying each site, and the management_cost column
+contains the cost of managing each site for conservation.

+
To help understand the simulated data, let’s create some
+visualizations.

 
 # plot site occupancy data from previous surveys
 # 1 = species was detected in 100% of the previous surveys
@@ -216,7 +263,10 @@ 
Simulate datalabs(title = "Environmental conditions",
          x = "X coordinate", y = "Y coordinate")

 

-
After simulating data for the sites, we will simulate data for the conservation feature. We set proportion_of_survey_features = 1 to indicate that this feature will be examined in future surveys.

+
After simulating data for the sites, we will simulate data for the
+conservation feature. We set
+proportion_of_survey_features = 1 to indicate that this
+feature will be examined in future surveys.

 
 # simulate feature data
 feature_data <- simulate_feature_data(
@@ -235,12 +285,37 @@ 
Simulate data##   name  survey survey_sensitivity survey_specificity target
 ##   <chr> <lgl>               <dbl>              <dbl>  <dbl>
 ## 1 f1    TRUE             0.989102           0.834741      2

-
The feature_data object is a table (i.e. tibble object) that contains information on the conservation feature. Here, each row corresponds to a different feature – and so it only has one row because we only have one feature – and each column contains different information about the feature(s). The name column contains the name of the feature. The survey column indicates if the feature will be examined in future surveys. The survey_sensitivity and survey_specificity columns denote the sensitivity (probability of correctly recording a presence) and specificity (probability of correctly recording an absence) of the survey methodology. Finally, the target column specifies the number of occupied sites for each species that should ideally be represented in the prioritization.

+
The feature_data object is a table
+(i.e. tibble object) that contains information on the
+conservation feature. Here, each row corresponds to a different feature
+– and so it only has one row because we only have one feature – and each
+column contains different information about the feature(s). The
+name column contains the name of the feature. The
+survey column indicates if the feature will be examined in
+future surveys. The survey_sensitivity and
+survey_specificity columns denote the sensitivity
+(probability of correctly recording a presence) and specificity
+(probability of correctly recording an absence) of the survey
+methodology. Finally, the target column specifies the
+number of occupied sites for each species that should ideally be
+represented in the prioritization.

 

 

 
Modeling probability of occupancy
 

-
After simulating the data, we need to estimate the probability of the feature occurring in the unsurveyed sites. This is important for calculating the potential benefits of surveying sites, because if we can reliably predict the probability of the feature(s) occurring in unsurveyed sites using models, then we may not need to conduct any additional surveys. Specifically, we will fit gradient boosted regression trees – via the xgboost R package. These models are well-suited for modeling species distributions because they can accommodate high order interactions among different predictor variables that are needed to effectively model species’ environmental niches, even in the case of limited data. Furthermore, they can incorporate knowledge of the sensitivity and specificity of previous surveys during model fitting (using weights).

+
After simulating the data, we need to estimate the probability of the
+feature occurring in the unsurveyed sites. This is important for
+calculating the potential benefits of surveying sites, because if we can
+reliably predict the probability of the feature(s) occurring in
+unsurveyed sites using models, then we may not need to conduct any
+additional surveys. Specifically, we will fit gradient boosted
+regression trees – via the xgboost R package.
+These models are well-suited for modeling species distributions because
+they can accommodate high order interactions among different predictor
+variables that are needed to effectively model species’ environmental
+niches, even in the case of limited data. Furthermore, they can
+incorporate knowledge of the sensitivity and specificity of previous
+surveys during model fitting (using weights).

 
 # create list of candidate parameter values for calibration procedure
 xgb_parameters <- list(eta = 0.1, lambda = 0.1, objective = "binary:logistic")
@@ -253,7 +328,9 @@ 
Modeling probability of occupancy  c("f1"), c("n1"), c("e1", "e2", "e3"),
   "survey_sensitivity", "survey_specificity",
   n_folds = c(2), xgb_tuning_parameters = xgb_parameters)

-
After fitting the models, we can examine the tuning parameters used to fit the models, extract the modeled probability of occupancy, and evaluate the performance of the models.

+
After fitting the models, we can examine the tuning parameters used
+to fit the models, extract the modeled probability of occupancy, and
+evaluate the performance of the models.

 
 # print best parameters
 print(xgb_results$parameters)

@@ -321,7 +398,17 @@ 
Modeling probability of occupancy
 
Expected value given current information
 

-
After simulating and modeling the data, we will now examine the expected value of the decision given current information. This value represents the conservation value of a near-optimal prioritization given current information, whilst accounting for uncertainty in the presence (and absence) of the conservation feature in each site. Specifically, “current information” refers to our existing survey data and our occupancy models. Next, we will set a total budget (i.e. total_budget). This total budget represents the total amount of resources available for surveying sites and managing them for conservation. It will be set at 10% of the total site management costs.

+
After simulating and modeling the data, we will now examine the
+expected value of the decision given current information. This
+value represents the conservation value of a near-optimal prioritization
+given current information, whilst accounting for uncertainty in the
+presence (and absence) of the conservation feature in each site.
+Specifically, “current information” refers to our existing survey data
+and our occupancy models. Next, we will set a total budget
+(i.e. total_budget). This total budget represents the total
+amount of resources available for surveying sites and managing them for
+conservation. It will be set at 10% of the total site management
+costs.

 
 # calculate total budget for surveying and managing sites
 total_budget <- sum(site_data$management_cost) * 0.1
@@ -329,7 +416,8 @@ 
Expected value given current i
 # print total budget
 print(total_budget)

 
## [1] 7498.9

-
Given the total budget, we can now calculate the expected value of the decision given current information.

+
Given the total budget, we can now calculate the expected value
+of the decision given current information.

 
 # expected value of the decision given current information
 evd_current <- evdci(
@@ -349,12 +437,19 @@ 
Expected value given current i
 # print value
 print(evd_current)

 
## [1] 0.9443835

-
We can potentially improve the expected value of the decision given current information by learning more about which sites are more likely (and less likely) to contain the conservation feature.

+
We can potentially improve the expected value of the decision
+given current information by learning more about which sites are
+more likely (and less likely) to contain the conservation feature.

 

 

 
Survey schemes
 

-
Now we will generate some candidate survey schemes to see if we can improve the management decision. To achieve this, we will set a budget for surveying additional sites. Specifically, this survey budget (i.e. survey_budget) will be set at 25% of the survey costs for the unsurveyed sites. Note that our total budget must always be greater than or equal to the survey budget.

+
Now we will generate some candidate survey schemes to see if we can
+improve the management decision. To achieve this, we will set a budget
+for surveying additional sites. Specifically, this survey budget
+(i.e. survey_budget) will be set at 25% of the survey costs
+for the unsurveyed sites. Note that our total budget must always be
+greater than or equal to the survey budget.

 
 # calculate budget for surveying sites
 #   add column to site_data indicating if the sites already have data or not
@@ -380,7 +475,13 @@ 
Survey schemes
 print(total_budget)

 
## [1] 7498.9

-
We will generate survey schemes by selecting unsurveyed sites that (i) increase geographic coverage among surveyed sites (Yates 1948), (ii) increase coverage of environmental conditions among surveyed sites [i.e. environmental diversity; Faith & Walker (1996)], (iii) increase coverage of sites with highly uncertain information (Guisan et al. 2006), (iv) increase coverage of sites where species are predicted to occur (Le Lay et al. 2010), and (v) increase coverage of sites that have low management costs.

+
We will generate survey schemes by selecting unsurveyed sites that
+(i) increase geographic coverage among surveyed sites (Yates 1948), (ii) increase coverage of
+environmental conditions among surveyed sites [i.e. environmental
+diversity; Faith & Walker (1996)],
+(iii) increase coverage of sites with highly uncertain information (Guisan et al. 2006), (iv) increase
+coverage of sites where species are predicted to occur (Le Lay et al. 2010), and (v) increase
+coverage of sites that have low management costs.

 
 # (i) generate survey scheme to increase geographic coverage
 geo_scheme <-
@@ -444,12 +545,15 @@ 
Survey schemes    scale_color_manual(values = c("TRUE" = "red", "FALSE" = "black")) +
   labs(x = "X coordinate", y = "Y coordinate")

 

-
We can see that different approaches yield different survey schemes – but how well do they perform?

+
We can see that different approaches yield different survey schemes –
+but how well do they perform?

 

 

 
Expected value of the decision given sample information
 

-
Now that we’ve generated the survey schemes, let’s calculate the expected value of the decision given sample information for each survey scheme.

+
Now that we’ve generated the survey schemes, let’s calculate the
+expected value of the decision given sample information for
+each survey scheme.

 
 # create table to store results
 evd_survey_schemes <-
@@ -487,7 +591,10 @@ 
Expected value
 ## 3 unc_scheme   0.986738
 ## 4 cheap_scheme 0.993256
 ## 5 rich_scheme  0.988133

-
We can also calculate how much the information gained from each of the survey schemes is expected to improve the management decision. This quantity is called the expected value of sample information (EVSI) for each survey scheme.

+
We can also calculate how much the information gained from each of
+the survey schemes is expected to improve the management decision. This
+quantity is called the expected value of sample information
+(EVSI) for each survey scheme.

 
 # estimate expected value of sample information for each survey scheme
 evd_survey_schemes$evsi <-
@@ -518,12 +625,23 @@ 
Expected value
     theme(axis.text.x = element_text(angle = 30, vjust = 0.65),
           legend.position = "none")

 

-
In this particular simulation, we can see that all of the survey schemes have a low expected value of sample information (i.e. most values are close to zero). This means that none of these survey schemes would likely lead to a substantially better conservation outcome when considering the funds spent on conducting them. If the survey schemes had negative values, then this means that they would be expected to poorer conservation outcomes than simply using existing information. We can see that surveying sites with the cheapest management costs is the best strategy – in this particular situation – because it has the highest expected value of sample information, but can we do even better with a different scheme?

+
In this particular simulation, we can see that all of the survey
+schemes have a low expected value of sample information (i.e. most
+values are close to zero). This means that none of these survey schemes
+would likely lead to a substantially better conservation outcome when
+considering the funds spent on conducting them. If the survey schemes
+had negative values, then this means that they would be expected to
+poorer conservation outcomes than simply using existing information. We
+can see that surveying sites with the cheapest management costs is the
+best strategy – in this particular situation – because it has the
+highest expected value of sample information, but can we do even better
+with a different scheme?

 

 

 
Optimized survey scheme
 

-
Now let’s generate an optimized survey scheme by directly maximizing the expected value of the decision given a survey scheme.

+
Now let’s generate an optimized survey scheme by directly maximizing
+the expected value of the decision given a survey scheme.

 
 # generate optimized survey scheme(s)
 opt_scheme <- approx_near_optimal_survey_scheme(
@@ -565,7 +683,8 @@ 
Optimized survey schemescale_color_manual(values = c("TRUE" = "red", "FALSE" = "black")) +
 labs(x = "X coordinate", y = "Y coordinate")

 

-
We can see that the optimized survey scheme (opt_scheme) is different to the previous survey schemes.

+
We can see that the optimized survey scheme (opt_scheme)
+is different to the previous survey schemes.

 
 # calculate expected value of sample information for the optimized scheme
 evd_opt <- evdsi(
@@ -620,7 +739,11 @@ 
Optimized survey scheme    theme(axis.text.x = element_text(angle = 30, vjust = 0.65),
           legend.position = "none")

 

-
We can see that the optimized survey scheme has the highest expected value of sample information of all the candidate survey schemes. To better understand how sub-optimal the candidate survey schemes are, let’s compute their relative performance and visualize them.

+
We can see that the optimized survey scheme has the highest
+expected value of sample information of all the candidate
+survey schemes. To better understand how sub-optimal the candidate
+survey schemes are, let’s compute their relative performance and
+visualize them.

 
 # express values in terms of relative performance
 evd_survey_schemes$relative_performance <-
@@ -643,60 +766,74 @@ 
Optimized survey scheme    theme(axis.text.x = element_text(angle = 30, vjust = 0.65),
           legend.position = "none")

 

-
We can see that the optimized survey scheme performs better than the other survey schemes. Although the optimized survey scheme doesn’t provide a substantial improvement in this particular situation, we can see how value of information analysis can potentially improve management decisions by strategically allocating funds to surveys and conservation management. Indeed, since we only considered a single species and a handful of sites – to keep the tutorial simple and reduce computational burden – it was unlikely that an optimized survey scheme would perform substantially better than simply using current information. If you want to try something more complex, try adapting the code in this tutorial to simulate a larger number of sites and multiple species?

+
We can see that the optimized survey scheme performs better than the
+other survey schemes. Although the optimized survey scheme doesn’t
+provide a substantial improvement in this particular situation, we can
+see how value of information analysis can potentially improve management
+decisions by strategically allocating funds to surveys and conservation
+management. Indeed, since we only considered a single species and a
+handful of sites – to keep the tutorial simple and reduce computational
+burden – it was unlikely that an optimized survey scheme would perform
+substantially better than simply using current information. If you want
+to try something more complex, try adapting the code in this tutorial to
+simulate a larger number of sites and multiple species?

 

 

 
Conclusion
 

-
Hopefully, this tutorial has been useful. If you have any questions about using the surveyvoi R package or suggestions for improving it, please file an issue on the package’s online coding repository (https://github.com/prioritizr/surveyvoi/issues).

+
Hopefully, this tutorial has been useful. If you have any questions
+about using the surveyvoi R package or suggestions for
+improving it, please file an issue on the package’s online coding
+repository (https://github.com/prioritizr/surveyvoi/issues).

 

 

 
References
 

 

 

-Faith, D.P. & Walker, P. (1996). Environmental diversity: On the best-possible use of surrogate data for assessing the relative biodiversity of sets of areas. Biodiversity & Conservation, 5, 399–415.
+Faith, D.P. & Walker, P. (1996). Environmental diversity: On the
+best-possible use of surrogate data for assessing the relative
+biodiversity of sets of areas. Biodiversity & Conservation,
+5, 399–415.
 

 

-Guisan, A., Broennimann, O., Engler, R., Vust, M., Yoccoz, N.G., Lehmann, A. & Zimmermann, N.E. (2006). Using niche-based models to improve the sampling of rare species. Conservation Biology, 20, 501–511.
+Guisan, A., Broennimann, O., Engler, R., Vust, M., Yoccoz, N.G.,
+Lehmann, A. & Zimmermann, N.E. (2006). Using niche-based models to
+improve the sampling of rare species. Conservation Biology,
+20, 501–511.
 

 

-Le Lay, G., Engler, R., Franc, E. & Guisan, A. (2010). Prospective sampling based on model ensembles improves the detection of rare species. Ecography, 33, 1015–1027.
+Le Lay, G., Engler, R., Franc, E. & Guisan, A. (2010). Prospective
+sampling based on model ensembles improves the detection of rare
+species. Ecography, 33, 1015–1027.
 

 

-Yates, F. (1948). Systematic sampling. Philosophical Transactions of the Royal Society of London. Series A, Mathematical and Physical Sciences, 241, 345–377.
-

+Yates, F. (1948). Systematic sampling. Philosophical Transactions of
+the Royal Society of London. Series A, Mathematical and Physical
+Sciences, 241, 345–377.
 

 

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-
-
-
-
-

Authors

-
- - +
+

Authors

+
-
-
-

Citation

- Source: inst/CITATION -
-
+
+

Citation

+

Source: inst/CITATION

-

Hanson JO, McCune JL, Chad'es I, Proctor CA, Hudgins EJ, Bennett JR (2022). -“wdpar: Interface to the World Database on Protected Areas.” +

Hanson JO, McCune JL, Chad'es I, Proctor CA, Hudgins EJ, Bennett JR (2022). +“Optimizing ecological surveys for conservation.” Journal of Applied Ecology, 60(1), 41–51. -doi:10.1111/1365-2664.14309. +doi:10.1111/1365-2664.14309.

- 
@Article{,
-  title = {wdpar: Interface to the World Database on Protected Areas},
+      
@Article{,
+  title = {Optimizing ecological surveys for conservation},
   author = {Jeffrey O Hanson and Jenny L McCune and Iadine Chad{`{e}}s and Caitlyn A Proctor and Emma J Hudgins and Joseph R Bennett},
   year = {2022},
   journal = {Journal of Applied Ecology},
@@ -91,27 +72,25 @@ 
Citation

   pages = {41--51},
   doi = {10.1111/1365-2664.14309},
 }

+
-
- -
- +
-
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s(t){i.add(t.name),[].concat(t.requires||[],t.requiresIfExists||[]).forEach((function(t){if(!i.has(t)){var n=e.get(t);n&&s(n)}})),n.push(t)}return t.forEach((function(t){e.set(t.name,t)})),t.forEach((function(t){i.has(t.name)||s(t)})),n}var fi={placement:"bottom",modifiers:[],strategy:"absolute"};function pi(){for(var t=arguments.length,e=new Array(t),i=0;iNumber.parseInt(t,10))):"function"==typeof t?e=>t(e,this._element):t}_getPopperConfig(){const t={placement:this._getPlacement(),modifiers:[{name:"preventOverflow",options:{boundary:this._config.boundary}},{name:"offset",options:{offset:this._getOffset()}}]};return(this._inNavbar||"static"===this._config.display)&&(F.setDataAttribute(this._menu,"popper","static"),t.modifiers=[{name:"applyStyles",enabled:!1}]),{...t,...g(this._config.popperConfig,[t])}}_selectMenuItem({key:t,target:e}){const i=z.find(".dropdown-menu 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e=/input|textarea/i.test(t.target.tagName),i="Escape"===t.key,n=[Ei,Ti].includes(t.key);if(!n&&!i)return;if(e&&!i)return;t.preventDefault();const s=this.matches(Ii)?this:z.prev(this,Ii)[0]||z.next(this,Ii)[0]||z.findOne(Ii,t.delegateTarget.parentNode),o=qi.getOrCreateInstance(s);if(n)return t.stopPropagation(),o.show(),void o._selectMenuItem(t);o._isShown()&&(t.stopPropagation(),o.hide(),s.focus())}}N.on(document,Si,Ii,qi.dataApiKeydownHandler),N.on(document,Si,Pi,qi.dataApiKeydownHandler),N.on(document,Li,qi.clearMenus),N.on(document,Di,qi.clearMenus),N.on(document,Li,Ii,(function(t){t.preventDefault(),qi.getOrCreateInstance(this).toggle()})),m(qi);const Vi="backdrop",Ki="show",Qi=`mousedown.bs.${Vi}`,Xi={className:"modal-backdrop",clickCallback:null,isAnimated:!1,isVisible:!0,rootElement:"body"},Yi={className:"string",clickCallback:"(function|null)",isAnimated:"boolean",isVisible:"boolean",rootElement:"(element|string)"};class Ui extends H{constructor(t){super(),this._config=this._getConfig(t),this._isAppended=!1,this._element=null}static get Default(){return Xi}static get DefaultType(){return Yi}static get NAME(){return Vi}show(t){if(!this._config.isVisible)return void g(t);this._append();const e=this._getElement();this._config.isAnimated&&d(e),e.classList.add(Ki),this._emulateAnimation((()=>{g(t)}))}hide(t){this._config.isVisible?(this._getElement().classList.remove(Ki),this._emulateAnimation((()=>{this.dispose(),g(t)}))):g(t)}dispose(){this._isAppended&&(N.off(this._element,Qi),this._element.remove(),this._isAppended=!1)}_getElement(){if(!this._element){const t=document.createElement("div");t.className=this._config.className,this._config.isAnimated&&t.classList.add("fade"),this._element=t}return this._element}_configAfterMerge(t){return t.rootElement=r(t.rootElement),t}_append(){if(this._isAppended)return;const t=this._getElement();this._config.rootElement.append(t),N.on(t,Qi,(()=>{g(this._config.clickCallback)})),this._isAppended=!0}_emulateAnimation(t){_(t,this._getElement(),this._config.isAnimated)}}const Gi=".bs.focustrap",Ji=`focusin${Gi}`,Zi=`keydown.tab${Gi}`,tn="backward",en={autofocus:!0,trapElement:null},nn={autofocus:"boolean",trapElement:"element"};class sn extends H{constructor(t){super(),this._config=this._getConfig(t),this._isActive=!1,this._lastTabNavDirection=null}static get Default(){return en}static get DefaultType(){return nn}static get NAME(){return"focustrap"}activate(){this._isActive||(this._config.autofocus&&this._config.trapElement.focus(),N.off(document,Gi),N.on(document,Ji,(t=>this._handleFocusin(t))),N.on(document,Zi,(t=>this._handleKeydown(t))),this._isActive=!0)}deactivate(){this._isActive&&(this._isActive=!1,N.off(document,Gi))}_handleFocusin(t){const{trapElement:e}=this._config;if(t.target===document||t.target===e||e.contains(t.target))return;const i=z.focusableChildren(e);0===i.length?e.focus():this._lastTabNavDirection===tn?i[i.length-1].focus():i[0].focus()}_handleKeydown(t){"Tab"===t.key&&(this._lastTabNavDirection=t.shiftKey?tn:"forward")}}const on=".fixed-top, .fixed-bottom, .is-fixed, .sticky-top",rn=".sticky-top",an="padding-right",ln="margin-right";class cn{constructor(){this._element=document.body}getWidth(){const t=document.documentElement.clientWidth;return Math.abs(window.innerWidth-t)}hide(){const t=this.getWidth();this._disableOverFlow(),this._setElementAttributes(this._element,an,(e=>e+t)),this._setElementAttributes(on,an,(e=>e+t)),this._setElementAttributes(rn,ln,(e=>e-t))}reset(){this._resetElementAttributes(this._element,"overflow"),this._resetElementAttributes(this._element,an),this._resetElementAttributes(on,an),this._resetElementAttributes(rn,ln)}isOverflowing(){return this.getWidth()>0}_disableOverFlow(){this._saveInitialAttribute(this._element,"overflow"),this._element.style.overflow="hidden"}_setElementAttributes(t,e,i){const n=this.getWidth();this._applyManipulationCallback(t,(t=>{if(t!==this._element&&window.innerWidth>t.clientWidth+n)return;this._saveInitialAttribute(t,e);const s=window.getComputedStyle(t).getPropertyValue(e);t.style.setProperty(e,`${i(Number.parseFloat(s))}px`)}))}_saveInitialAttribute(t,e){const i=t.style.getPropertyValue(e);i&&F.setDataAttribute(t,e,i)}_resetElementAttributes(t,e){this._applyManipulationCallback(t,(t=>{const i=F.getDataAttribute(t,e);null!==i?(F.removeDataAttribute(t,e),t.style.setProperty(e,i)):t.style.removeProperty(e)}))}_applyManipulationCallback(t,e){if(o(t))e(t);else for(const i of z.find(t,this._element))e(i)}}const hn=".bs.modal",dn=`hide${hn}`,un=`hidePrevented${hn}`,fn=`hidden${hn}`,pn=`show${hn}`,mn=`shown${hn}`,gn=`resize${hn}`,_n=`click.dismiss${hn}`,bn=`mousedown.dismiss${hn}`,vn=`keydown.dismiss${hn}`,yn=`click${hn}.data-api`,wn="modal-open",An="show",En="modal-static",Tn={backdrop:!0,focus:!0,keyboard:!0},Cn={backdrop:"(boolean|string)",focus:"boolean",keyboard:"boolean"};class On extends W{constructor(t,e){super(t,e),this._dialog=z.findOne(".modal-dialog",this._element),this._backdrop=this._initializeBackDrop(),this._focustrap=this._initializeFocusTrap(),this._isShown=!1,this._isTransitioning=!1,this._scrollBar=new cn,this._addEventListeners()}static get Default(){return Tn}static get DefaultType(){return Cn}static get NAME(){return"modal"}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||this._isTransitioning||N.trigger(this._element,pn,{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._isTransitioning=!0,this._scrollBar.hide(),document.body.classList.add(wn),this._adjustDialog(),this._backdrop.show((()=>this._showElement(t))))}hide(){this._isShown&&!this._isTransitioning&&(N.trigger(this._element,dn).defaultPrevented||(this._isShown=!1,this._isTransitioning=!0,this._focustrap.deactivate(),this._element.classList.remove(An),this._queueCallback((()=>this._hideModal()),this._element,this._isAnimated())))}dispose(){N.off(window,hn),N.off(this._dialog,hn),this._backdrop.dispose(),this._focustrap.deactivate(),super.dispose()}handleUpdate(){this._adjustDialog()}_initializeBackDrop(){return new Ui({isVisible:Boolean(this._config.backdrop),isAnimated:this._isAnimated()})}_initializeFocusTrap(){return new sn({trapElement:this._element})}_showElement(t){document.body.contains(this._element)||document.body.append(this._element),this._element.style.display="block",this._element.removeAttribute("aria-hidden"),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.scrollTop=0;const e=z.findOne(".modal-body",this._dialog);e&&(e.scrollTop=0),d(this._element),this._element.classList.add(An),this._queueCallback((()=>{this._config.focus&&this._focustrap.activate(),this._isTransitioning=!1,N.trigger(this._element,mn,{relatedTarget:t})}),this._dialog,this._isAnimated())}_addEventListeners(){N.on(this._element,vn,(t=>{"Escape"===t.key&&(this._config.keyboard?this.hide():this._triggerBackdropTransition())})),N.on(window,gn,(()=>{this._isShown&&!this._isTransitioning&&this._adjustDialog()})),N.on(this._element,bn,(t=>{N.one(this._element,_n,(e=>{this._element===t.target&&this._element===e.target&&("static"!==this._config.backdrop?this._config.backdrop&&this.hide():this._triggerBackdropTransition())}))}))}_hideModal(){this._element.style.display="none",this._element.setAttribute("aria-hidden",!0),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._isTransitioning=!1,this._backdrop.hide((()=>{document.body.classList.remove(wn),this._resetAdjustments(),this._scrollBar.reset(),N.trigger(this._element,fn)}))}_isAnimated(){return this._element.classList.contains("fade")}_triggerBackdropTransition(){if(N.trigger(this._element,un).defaultPrevented)return;const t=this._element.scrollHeight>document.documentElement.clientHeight,e=this._element.style.overflowY;"hidden"===e||this._element.classList.contains(En)||(t||(this._element.style.overflowY="hidden"),this._element.classList.add(En),this._queueCallback((()=>{this._element.classList.remove(En),this._queueCallback((()=>{this._element.style.overflowY=e}),this._dialog)}),this._dialog),this._element.focus())}_adjustDialog(){const t=this._element.scrollHeight>document.documentElement.clientHeight,e=this._scrollBar.getWidth(),i=e>0;if(i&&!t){const t=p()?"paddingLeft":"paddingRight";this._element.style[t]=`${e}px`}if(!i&&t){const t=p()?"paddingRight":"paddingLeft";this._element.style[t]=`${e}px`}}_resetAdjustments(){this._element.style.paddingLeft="",this._element.style.paddingRight=""}static jQueryInterface(t,e){return this.each((function(){const 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W{constructor(t,e){super(t,e),this._isShown=!1,this._backdrop=this._initializeBackDrop(),this._focustrap=this._initializeFocusTrap(),this._addEventListeners()}static get Default(){return zn}static get DefaultType(){return Rn}static get NAME(){return"offcanvas"}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||N.trigger(this._element,Nn,{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._backdrop.show(),this._config.scroll||(new cn).hide(),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.classList.add(Dn),this._queueCallback((()=>{this._config.scroll&&!this._config.backdrop||this._focustrap.activate(),this._element.classList.add(Sn),this._element.classList.remove(Dn),N.trigger(this._element,Pn,{relatedTarget:t})}),this._element,!0))}hide(){this._isShown&&(N.trigger(this._element,Mn).defaultPrevented||(this._focustrap.deactivate(),this._element.blur(),this._isShown=!1,this._element.classList.add($n),this._backdrop.hide(),this._queueCallback((()=>{this._element.classList.remove(Sn,$n),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._config.scroll||(new cn).reset(),N.trigger(this._element,Fn)}),this._element,!0)))}dispose(){this._backdrop.dispose(),this._focustrap.deactivate(),super.dispose()}_initializeBackDrop(){const t=Boolean(this._config.backdrop);return new Ui({className:"offcanvas-backdrop",isVisible:t,isAnimated:!0,rootElement:this._element.parentNode,clickCallback:t?()=>{"static"!==this._config.backdrop?this.hide():N.trigger(this._element,jn)}:null})}_initializeFocusTrap(){return new sn({trapElement:this._element})}_addEventListeners(){N.on(this._element,Bn,(t=>{"Escape"===t.key&&(this._config.keyboard?this.hide():N.trigger(this._element,jn))}))}static jQueryInterface(t){return this.each((function(){const e=qn.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t](this)}}))}}N.on(document,Wn,'[data-bs-toggle="offcanvas"]',(function(t){const e=z.getElementFromSelector(this);if(["A","AREA"].includes(this.tagName)&&t.preventDefault(),l(this))return;N.one(e,Fn,(()=>{a(this)&&this.focus()}));const i=z.findOne(In);i&&i!==e&&qn.getInstance(i).hide(),qn.getOrCreateInstance(e).toggle(this)})),N.on(window,Ln,(()=>{for(const t of z.find(In))qn.getOrCreateInstance(t).show()})),N.on(window,Hn,(()=>{for(const t of z.find("[aria-modal][class*=show][class*=offcanvas-]"))"fixed"!==getComputedStyle(t).position&&qn.getOrCreateInstance(t).hide()})),R(qn),m(qn);const Vn={"*":["class","dir","id","lang","role",/^aria-[\w-]*$/i],a:["target","href","title","rel"],area:[],b:[],br:[],col:[],code:[],div:[],em:[],hr:[],h1:[],h2:[],h3:[],h4:[],h5:[],h6:[],i:[],img:["src","srcset","alt","title","width","height"],li:[],ol:[],p:[],pre:[],s:[],small:[],span:[],sub:[],sup:[],strong:[],u:[],ul:[]},Kn=new Set(["background","cite","href","itemtype","longdesc","poster","src","xlink:href"]),Qn=/^(?!javascript:)(?:[a-z0-9+.-]+:|[^&:/?#]*(?:[/?#]|$))/i,Xn=(t,e)=>{const i=t.nodeName.toLowerCase();return e.includes(i)?!Kn.has(i)||Boolean(Qn.test(t.nodeValue)):e.filter((t=>t instanceof RegExp)).some((t=>t.test(i)))},Yn={allowList:Vn,content:{},extraClass:"",html:!1,sanitize:!0,sanitizeFn:null,template:"
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g(t,[this])}_putElementInTemplate(t,e){if(this._config.html)return e.innerHTML="",void e.append(t);e.textContent=t.textContent}}const Zn=new Set(["sanitize","allowList","sanitizeFn"]),ts="fade",es="show",is=".modal",ns="hide.bs.modal",ss="hover",os="focus",rs={AUTO:"auto",TOP:"top",RIGHT:p()?"left":"right",BOTTOM:"bottom",LEFT:p()?"right":"left"},as={allowList:Vn,animation:!0,boundary:"clippingParents",container:!1,customClass:"",delay:0,fallbackPlacements:["top","right","bottom","left"],html:!1,offset:[0,6],placement:"top",popperConfig:null,sanitize:!0,sanitizeFn:null,selector:!1,template:'',title:"",trigger:"hover focus"},ls={allowList:"object",animation:"boolean",boundary:"(string|element)",container:"(string|element|boolean)",customClass:"(string|function)",delay:"(number|object)",fallbackPlacements:"array",html:"boolean",offset:"(array|string|function)",placement:"(string|function)",popperConfig:"(null|object|function)",sanitize:"boolean",sanitizeFn:"(null|function)",selector:"(string|boolean)",template:"string",title:"(string|element|function)",trigger:"string"};class cs extends W{constructor(t,e){if(void 0===vi)throw new TypeError("Bootstrap's tooltips require Popper (https://popper.js.org)");super(t,e),this._isEnabled=!0,this._timeout=0,this._isHovered=null,this._activeTrigger={},this._popper=null,this._templateFactory=null,this._newContent=null,this.tip=null,this._setListeners(),this._config.selector||this._fixTitle()}static get Default(){return as}static get DefaultType(){return ls}static get 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i=this._getTipElement();this._element.setAttribute("aria-describedby",i.getAttribute("id"));const{container:n}=this._config;if(this._element.ownerDocument.documentElement.contains(this.tip)||(n.append(i),N.trigger(this._element,this.constructor.eventName("inserted"))),this._popper=this._createPopper(i),i.classList.add(es),"ontouchstart"in document.documentElement)for(const t of[].concat(...document.body.children))N.on(t,"mouseover",h);this._queueCallback((()=>{N.trigger(this._element,this.constructor.eventName("shown")),!1===this._isHovered&&this._leave(),this._isHovered=!1}),this.tip,this._isAnimated())}hide(){if(this._isShown()&&!N.trigger(this._element,this.constructor.eventName("hide")).defaultPrevented){if(this._getTipElement().classList.remove(es),"ontouchstart"in document.documentElement)for(const t of[].concat(...document.body.children))N.off(t,"mouseover",h);this._activeTrigger.click=!1,this._activeTrigger[os]=!1,this._activeTrigger[ss]=!1,this._isHovered=null,this._queueCallback((()=>{this._isWithActiveTrigger()||(this._isHovered||this._disposePopper(),this._element.removeAttribute("aria-describedby"),N.trigger(this._element,this.constructor.eventName("hidden")))}),this.tip,this._isAnimated())}}update(){this._popper&&this._popper.update()}_isWithContent(){return Boolean(this._getTitle())}_getTipElement(){return this.tip||(this.tip=this._createTipElement(this._newContent||this._getContentForTemplate())),this.tip}_createTipElement(t){const e=this._getTemplateFactory(t).toHtml();if(!e)return null;e.classList.remove(ts,es),e.classList.add(`bs-${this.constructor.NAME}-auto`);const i=(t=>{do{t+=Math.floor(1e6*Math.random())}while(document.getElementById(t));return t})(this.constructor.NAME).toString();return e.setAttribute("id",i),this._isAnimated()&&e.classList.add(ts),e}setContent(t){this._newContent=t,this._isShown()&&(this._disposePopper(),this.show())}_getTemplateFactory(t){return this._templateFactory?this._templateFactory.changeContent(t):this._templateFactory=new Jn({...this._config,content:t,extraClass:this._resolvePossibleFunction(this._config.customClass)}),this._templateFactory}_getContentForTemplate(){return{".tooltip-inner":this._getTitle()}}_getTitle(){return this._resolvePossibleFunction(this._config.title)||this._element.getAttribute("data-bs-original-title")}_initializeOnDelegatedTarget(t){return this.constructor.getOrCreateInstance(t.delegateTarget,this._getDelegateConfig())}_isAnimated(){return this._config.animation||this.tip&&this.tip.classList.contains(ts)}_isShown(){return this.tip&&this.tip.classList.contains(es)}_createPopper(t){const e=g(this._config.placement,[this,t,this._element]),i=rs[e.toUpperCase()];return bi(this._element,t,this._getPopperConfig(i))}_getOffset(){const{offset:t}=this._config;return"string"==typeof t?t.split(",").map((t=>Number.parseInt(t,10))):"function"==typeof t?e=>t(e,this._element):t}_resolvePossibleFunction(t){return g(t,[this._element])}_getPopperConfig(t){const e={placement:t,modifiers:[{name:"flip",options:{fallbackPlacements:this._config.fallbackPlacements}},{name:"offset",options:{offset:this._getOffset()}},{name:"preventOverflow",options:{boundary:this._config.boundary}},{name:"arrow",options:{element:`.${this.constructor.NAME}-arrow`}},{name:"preSetPlacement",enabled:!0,phase:"beforeMain",fn:t=>{this._getTipElement().setAttribute("data-popper-placement",t.state.placement)}}]};return{...e,...g(this._config.popperConfig,[e])}}_setListeners(){const t=this._config.trigger.split(" ");for(const e of t)if("click"===e)N.on(this._element,this.constructor.eventName("click"),this._config.selector,(t=>{this._initializeOnDelegatedTarget(t).toggle()}));else if("manual"!==e){const t=e===ss?this.constructor.eventName("mouseenter"):this.constructor.eventName("focusin"),i=e===ss?this.constructor.eventName("mouseleave"):this.constructor.eventName("focusout");N.on(this._element,t,this._config.selector,(t=>{const e=this._initializeOnDelegatedTarget(t);e._activeTrigger["focusin"===t.type?os:ss]=!0,e._enter()})),N.on(this._element,i,this._config.selector,(t=>{const e=this._initializeOnDelegatedTarget(t);e._activeTrigger["focusout"===t.type?os:ss]=e._element.contains(t.relatedTarget),e._leave()}))}this._hideModalHandler=()=>{this._element&&this.hide()},N.on(this._element.closest(is),ns,this._hideModalHandler)}_fixTitle(){const t=this._element.getAttribute("title");t&&(this._element.getAttribute("aria-label")||this._element.textContent.trim()||this._element.setAttribute("aria-label",t),this._element.setAttribute("data-bs-original-title",t),this._element.removeAttribute("title"))}_enter(){this._isShown()||this._isHovered?this._isHovered=!0:(this._isHovered=!0,this._setTimeout((()=>{this._isHovered&&this.show()}),this._config.delay.show))}_leave(){this._isWithActiveTrigger()||(this._isHovered=!1,this._setTimeout((()=>{this._isHovered||this.hide()}),this._config.delay.hide))}_setTimeout(t,e){clearTimeout(this._timeout),this._timeout=setTimeout(t,e)}_isWithActiveTrigger(){return Object.values(this._activeTrigger).includes(!0)}_getConfig(t){const e=F.getDataAttributes(this._element);for(const t of Object.keys(e))Zn.has(t)&&delete e[t];return t={...e,..."object"==typeof t&&t?t:{}},t=this._mergeConfigObj(t),t=this._configAfterMerge(t),this._typeCheckConfig(t),t}_configAfterMerge(t){return t.container=!1===t.container?document.body:r(t.container),"number"==typeof t.delay&&(t.delay={show:t.delay,hide:t.delay}),"number"==typeof t.title&&(t.title=t.title.toString()),"number"==typeof t.content&&(t.content=t.content.toString()),t}_getDelegateConfig(){const t={};for(const[e,i]of Object.entries(this._config))this.constructor.Default[e]!==i&&(t[e]=i);return t.selector=!1,t.trigger="manual",t}_disposePopper(){this._popper&&(this._popper.destroy(),this._popper=null),this.tip&&(this.tip.remove(),this.tip=null)}static jQueryInterface(t){return this.each((function(){const e=cs.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}}m(cs);const hs={...cs.Default,content:"",offset:[0,8],placement:"right",template:'',trigger:"click"},ds={...cs.DefaultType,content:"(null|string|element|function)"};class us extends cs{static get Default(){return hs}static get DefaultType(){return ds}static get 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e=this._observableSections.get(t.target.hash);if(e){t.preventDefault();const i=this._rootElement||window,n=e.offsetTop-this._element.offsetTop;if(i.scrollTo)return void i.scrollTo({top:n,behavior:"smooth"});i.scrollTop=n}})))}_getNewObserver(){const t={root:this._rootElement,threshold:this._config.threshold,rootMargin:this._config.rootMargin};return new IntersectionObserver((t=>this._observerCallback(t)),t)}_observerCallback(t){const e=t=>this._targetLinks.get(`#${t.target.id}`),i=t=>{this._previousScrollData.visibleEntryTop=t.target.offsetTop,this._process(e(t))},n=(this._rootElement||document.documentElement).scrollTop,s=n>=this._previousScrollData.parentScrollTop;this._previousScrollData.parentScrollTop=n;for(const o of t){if(!o.isIntersecting){this._activeTarget=null,this._clearActiveClass(e(o));continue}const t=o.target.offsetTop>=this._previousScrollData.visibleEntryTop;if(s&&t){if(i(o),!n)return}else s||t||i(o)}}_initializeTargetsAndObservables(){this._targetLinks=new Map,this._observableSections=new Map;const t=z.find(bs,this._config.target);for(const e of t){if(!e.hash||l(e))continue;const t=z.findOne(decodeURI(e.hash),this._element);a(t)&&(this._targetLinks.set(decodeURI(e.hash),e),this._observableSections.set(e.hash,t))}}_process(t){this._activeTarget!==t&&(this._clearActiveClass(this._config.target),this._activeTarget=t,t.classList.add(_s),this._activateParents(t),N.trigger(this._element,ps,{relatedTarget:t}))}_activateParents(t){if(t.classList.contains("dropdown-item"))z.findOne(".dropdown-toggle",t.closest(".dropdown")).classList.add(_s);else for(const e of z.parents(t,".nav, .list-group"))for(const t of z.prev(e,ys))t.classList.add(_s)}_clearActiveClass(t){t.classList.remove(_s);const e=z.find(`${bs}.${_s}`,t);for(const t of e)t.classList.remove(_s)}static jQueryInterface(t){return this.each((function(){const e=Es.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t]()}}))}}N.on(window,gs,(()=>{for(const t of z.find('[data-bs-spy="scroll"]'))Es.getOrCreateInstance(t)})),m(Es);const Ts=".bs.tab",Cs=`hide${Ts}`,Os=`hidden${Ts}`,xs=`show${Ts}`,ks=`shown${Ts}`,Ls=`click${Ts}`,Ss=`keydown${Ts}`,Ds=`load${Ts}`,$s="ArrowLeft",Is="ArrowRight",Ns="ArrowUp",Ps="ArrowDown",Ms="Home",js="End",Fs="active",Hs="fade",Ws="show",Bs=":not(.dropdown-toggle)",zs='[data-bs-toggle="tab"], [data-bs-toggle="pill"], [data-bs-toggle="list"]',Rs=`.nav-link${Bs}, .list-group-item${Bs}, [role="tab"]${Bs}, ${zs}`,qs=`.${Fs}[data-bs-toggle="tab"], .${Fs}[data-bs-toggle="pill"], .${Fs}[data-bs-toggle="list"]`;class Vs extends W{constructor(t){super(t),this._parent=this._element.closest('.list-group, .nav, [role="tablist"]'),this._parent&&(this._setInitialAttributes(this._parent,this._getChildren()),N.on(this._element,Ss,(t=>this._keydown(t))))}static get NAME(){return"tab"}show(){const t=this._element;if(this._elemIsActive(t))return;const e=this._getActiveElem(),i=e?N.trigger(e,Cs,{relatedTarget:t}):null;N.trigger(t,xs,{relatedTarget:e}).defaultPrevented||i&&i.defaultPrevented||(this._deactivate(e,t),this._activate(t,e))}_activate(t,e){t&&(t.classList.add(Fs),this._activate(z.getElementFromSelector(t)),this._queueCallback((()=>{"tab"===t.getAttribute("role")?(t.removeAttribute("tabindex"),t.setAttribute("aria-selected",!0),this._toggleDropDown(t,!0),N.trigger(t,ks,{relatedTarget:e})):t.classList.add(Ws)}),t,t.classList.contains(Hs)))}_deactivate(t,e){t&&(t.classList.remove(Fs),t.blur(),this._deactivate(z.getElementFromSelector(t)),this._queueCallback((()=>{"tab"===t.getAttribute("role")?(t.setAttribute("aria-selected",!1),t.setAttribute("tabindex","-1"),this._toggleDropDown(t,!1),N.trigger(t,Os,{relatedTarget:e})):t.classList.remove(Ws)}),t,t.classList.contains(Hs)))}_keydown(t){if(![$s,Is,Ns,Ps,Ms,js].includes(t.key))return;t.stopPropagation(),t.preventDefault();const e=this._getChildren().filter((t=>!l(t)));let i;if([Ms,js].includes(t.key))i=e[t.key===Ms?0:e.length-1];else{const n=[Is,Ps].includes(t.key);i=b(e,t.target,n,!0)}i&&(i.focus({preventScroll:!0}),Vs.getOrCreateInstance(i).show())}_getChildren(){return z.find(Rs,this._parent)}_getActiveElem(){return this._getChildren().find((t=>this._elemIsActive(t)))||null}_setInitialAttributes(t,e){this._setAttributeIfNotExists(t,"role","tablist");for(const t of e)this._setInitialAttributesOnChild(t)}_setInitialAttributesOnChild(t){t=this._getInnerElement(t);const e=this._elemIsActive(t),i=this._getOuterElement(t);t.setAttribute("aria-selected",e),i!==t&&this._setAttributeIfNotExists(i,"role","presentation"),e||t.setAttribute("tabindex","-1"),this._setAttributeIfNotExists(t,"role","tab"),this._setInitialAttributesOnTargetPanel(t)}_setInitialAttributesOnTargetPanel(t){const e=z.getElementFromSelector(t);e&&(this._setAttributeIfNotExists(e,"role","tabpanel"),t.id&&this._setAttributeIfNotExists(e,"aria-labelledby",`${t.id}`))}_toggleDropDown(t,e){const i=this._getOuterElement(t);if(!i.classList.contains("dropdown"))return;const n=(t,n)=>{const s=z.findOne(t,i);s&&s.classList.toggle(n,e)};n(".dropdown-toggle",Fs),n(".dropdown-menu",Ws),i.setAttribute("aria-expanded",e)}_setAttributeIfNotExists(t,e,i){t.hasAttribute(e)||t.setAttribute(e,i)}_elemIsActive(t){return t.classList.contains(Fs)}_getInnerElement(t){return t.matches(Rs)?t:z.findOne(Rs,t)}_getOuterElement(t){return t.closest(".nav-item, .list-group-item")||t}static jQueryInterface(t){return this.each((function(){const e=Vs.getOrCreateInstance(this);if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t]()}}))}}N.on(document,Ls,zs,(function(t){["A","AREA"].includes(this.tagName)&&t.preventDefault(),l(this)||Vs.getOrCreateInstance(this).show()})),N.on(window,Ds,(()=>{for(const t of z.find(qs))Vs.getOrCreateInstance(t)})),m(Vs);const Ks=".bs.toast",Qs=`mouseover${Ks}`,Xs=`mouseout${Ks}`,Ys=`focusin${Ks}`,Us=`focusout${Ks}`,Gs=`hide${Ks}`,Js=`hidden${Ks}`,Zs=`show${Ks}`,to=`shown${Ks}`,eo="hide",io="show",no="showing",so={animation:"boolean",autohide:"boolean",delay:"number"},oo={animation:!0,autohide:!0,delay:5e3};class ro extends W{constructor(t,e){super(t,e),this._timeout=null,this._hasMouseInteraction=!1,this._hasKeyboardInteraction=!1,this._setListeners()}static get Default(){return oo}static get DefaultType(){return so}static get NAME(){return"toast"}show(){N.trigger(this._element,Zs).defaultPrevented||(this._clearTimeout(),this._config.animation&&this._element.classList.add("fade"),this._element.classList.remove(eo),d(this._element),this._element.classList.add(io,no),this._queueCallback((()=>{this._element.classList.remove(no),N.trigger(this._element,to),this._maybeScheduleHide()}),this._element,this._config.animation))}hide(){this.isShown()&&(N.trigger(this._element,Gs).defaultPrevented||(this._element.classList.add(no),this._queueCallback((()=>{this._element.classList.add(eo),this._element.classList.remove(no,io),N.trigger(this._element,Js)}),this._element,this._config.animation)))}dispose(){this._clearTimeout(),this.isShown()&&this._element.classList.remove(io),super.dispose()}isShown(){return 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Bound instance: ${Array.from(instanceMap.keys())[0]}.`)\n return\n }\n\n instanceMap.set(key, instance)\n },\n\n get(element, key) {\n if (elementMap.has(element)) {\n return elementMap.get(element).get(key) || null\n }\n\n return null\n },\n\n remove(element, key) {\n if (!elementMap.has(element)) {\n return\n }\n\n const instanceMap = elementMap.get(element)\n\n instanceMap.delete(key)\n\n // free up element references if there are no instances left for an element\n if (instanceMap.size === 0) {\n elementMap.delete(element)\n }\n }\n}\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap util/index.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nconst MAX_UID = 1_000_000\nconst MILLISECONDS_MULTIPLIER = 1000\nconst TRANSITION_END = 'transitionend'\n\n/**\n * Properly escape IDs selectors to handle weird IDs\n * @param {string} selector\n * @returns {string}\n */\nconst parseSelector = selector => {\n if (selector && window.CSS && window.CSS.escape) {\n // document.querySelector needs escaping to handle IDs (html5+) containing for instance /\n selector = selector.replace(/#([^\\s\"#']+)/g, (match, id) => `#${CSS.escape(id)}`)\n }\n\n return selector\n}\n\n// Shout-out Angus Croll (https://goo.gl/pxwQGp)\nconst toType = object => {\n if (object === null || object === undefined) {\n return `${object}`\n }\n\n return Object.prototype.toString.call(object).match(/\\s([a-z]+)/i)[1].toLowerCase()\n}\n\n/**\n * Public Util API\n */\n\nconst getUID = prefix => {\n do {\n prefix += Math.floor(Math.random() * MAX_UID)\n } while (document.getElementById(prefix))\n\n return prefix\n}\n\nconst getTransitionDurationFromElement = element => {\n if (!element) {\n return 0\n }\n\n // Get transition-duration of the element\n let { transitionDuration, transitionDelay } = window.getComputedStyle(element)\n\n const floatTransitionDuration = Number.parseFloat(transitionDuration)\n const floatTransitionDelay = Number.parseFloat(transitionDelay)\n\n // Return 0 if element or transition duration is not found\n if (!floatTransitionDuration && !floatTransitionDelay) {\n return 0\n }\n\n // If multiple durations are defined, take the first\n transitionDuration = transitionDuration.split(',')[0]\n transitionDelay = transitionDelay.split(',')[0]\n\n return (Number.parseFloat(transitionDuration) + Number.parseFloat(transitionDelay)) * MILLISECONDS_MULTIPLIER\n}\n\nconst triggerTransitionEnd = element => {\n element.dispatchEvent(new Event(TRANSITION_END))\n}\n\nconst isElement = object => {\n if (!object || typeof object !== 'object') {\n return false\n }\n\n if (typeof object.jquery !== 'undefined') {\n object = object[0]\n }\n\n return typeof object.nodeType !== 'undefined'\n}\n\nconst getElement = object => {\n // it's a jQuery object or a node element\n if (isElement(object)) {\n return object.jquery ? object[0] : object\n }\n\n if (typeof object === 'string' && object.length > 0) {\n return document.querySelector(parseSelector(object))\n }\n\n return null\n}\n\nconst isVisible = element => {\n if (!isElement(element) || element.getClientRects().length === 0) {\n return false\n }\n\n const elementIsVisible = getComputedStyle(element).getPropertyValue('visibility') === 'visible'\n // Handle `details` element as its content may falsie appear visible when it is closed\n const closedDetails = element.closest('details:not([open])')\n\n if (!closedDetails) {\n return elementIsVisible\n }\n\n if (closedDetails !== element) {\n const summary = element.closest('summary')\n if (summary && summary.parentNode !== closedDetails) {\n return false\n }\n\n if (summary === null) {\n return false\n }\n }\n\n return elementIsVisible\n}\n\nconst isDisabled = element => {\n if (!element || element.nodeType !== Node.ELEMENT_NODE) {\n return true\n }\n\n if (element.classList.contains('disabled')) {\n return true\n }\n\n if (typeof element.disabled !== 'undefined') {\n return element.disabled\n }\n\n return element.hasAttribute('disabled') && element.getAttribute('disabled') !== 'false'\n}\n\nconst findShadowRoot = element => {\n if (!document.documentElement.attachShadow) {\n return null\n }\n\n // Can find the shadow root otherwise it'll return the document\n if (typeof element.getRootNode === 'function') {\n const root = element.getRootNode()\n return root instanceof ShadowRoot ? root : null\n }\n\n if (element instanceof ShadowRoot) {\n return element\n }\n\n // when we don't find a shadow root\n if (!element.parentNode) {\n return null\n }\n\n return findShadowRoot(element.parentNode)\n}\n\nconst noop = () => {}\n\n/**\n * Trick to restart an element's animation\n *\n * @param {HTMLElement} element\n * @return void\n *\n * @see https://www.charistheo.io/blog/2021/02/restart-a-css-animation-with-javascript/#restarting-a-css-animation\n */\nconst reflow = element => {\n element.offsetHeight // eslint-disable-line no-unused-expressions\n}\n\nconst getjQuery = () => {\n if (window.jQuery && !document.body.hasAttribute('data-bs-no-jquery')) {\n return window.jQuery\n }\n\n return null\n}\n\nconst DOMContentLoadedCallbacks = []\n\nconst onDOMContentLoaded = callback => {\n if (document.readyState === 'loading') {\n // add listener on the first call when the document is in loading state\n if (!DOMContentLoadedCallbacks.length) {\n document.addEventListener('DOMContentLoaded', () => {\n for (const callback of DOMContentLoadedCallbacks) {\n callback()\n }\n })\n }\n\n DOMContentLoadedCallbacks.push(callback)\n } else {\n callback()\n }\n}\n\nconst isRTL = () => document.documentElement.dir === 'rtl'\n\nconst defineJQueryPlugin = plugin => {\n onDOMContentLoaded(() => {\n const $ = getjQuery()\n /* istanbul ignore if */\n if ($) {\n const name = plugin.NAME\n const JQUERY_NO_CONFLICT = $.fn[name]\n $.fn[name] = plugin.jQueryInterface\n $.fn[name].Constructor = plugin\n $.fn[name].noConflict = () => {\n $.fn[name] = JQUERY_NO_CONFLICT\n return plugin.jQueryInterface\n }\n }\n })\n}\n\nconst execute = (possibleCallback, args = [], defaultValue = possibleCallback) => {\n return typeof possibleCallback === 'function' ? possibleCallback(...args) : defaultValue\n}\n\nconst executeAfterTransition = (callback, transitionElement, waitForTransition = true) => {\n if (!waitForTransition) {\n execute(callback)\n return\n }\n\n const durationPadding = 5\n const emulatedDuration = getTransitionDurationFromElement(transitionElement) + durationPadding\n\n let called = false\n\n const handler = ({ target }) => {\n if (target !== transitionElement) {\n return\n }\n\n called = true\n transitionElement.removeEventListener(TRANSITION_END, handler)\n execute(callback)\n }\n\n transitionElement.addEventListener(TRANSITION_END, handler)\n setTimeout(() => {\n if (!called) {\n triggerTransitionEnd(transitionElement)\n }\n }, emulatedDuration)\n}\n\n/**\n * Return the previous/next element of a list.\n *\n * @param {array} list The list of elements\n * @param activeElement The active element\n * @param shouldGetNext Choose to get next or previous element\n * @param isCycleAllowed\n * @return {Element|elem} The proper element\n */\nconst getNextActiveElement = (list, activeElement, shouldGetNext, isCycleAllowed) => {\n const listLength = list.length\n let index = list.indexOf(activeElement)\n\n // if the element does not exist in the list return an element\n // depending on the direction and if cycle is allowed\n if (index === -1) {\n return !shouldGetNext && isCycleAllowed ? list[listLength - 1] : list[0]\n }\n\n index += shouldGetNext ? 1 : -1\n\n if (isCycleAllowed) {\n index = (index + listLength) % listLength\n }\n\n return list[Math.max(0, Math.min(index, listLength - 1))]\n}\n\nexport {\n defineJQueryPlugin,\n execute,\n executeAfterTransition,\n findShadowRoot,\n getElement,\n getjQuery,\n getNextActiveElement,\n getTransitionDurationFromElement,\n getUID,\n isDisabled,\n isElement,\n isRTL,\n isVisible,\n noop,\n onDOMContentLoaded,\n parseSelector,\n reflow,\n triggerTransitionEnd,\n toType\n}\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap dom/event-handler.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport { getjQuery } from '../util/index.js'\n\n/**\n * Constants\n */\n\nconst namespaceRegex = /[^.]*(?=\\..*)\\.|.*/\nconst stripNameRegex = /\\..*/\nconst stripUidRegex = /::\\d+$/\nconst eventRegistry = {} // Events storage\nlet uidEvent = 1\nconst customEvents = {\n mouseenter: 'mouseover',\n mouseleave: 'mouseout'\n}\n\nconst nativeEvents = new Set([\n 'click',\n 'dblclick',\n 'mouseup',\n 'mousedown',\n 'contextmenu',\n 'mousewheel',\n 'DOMMouseScroll',\n 'mouseover',\n 'mouseout',\n 'mousemove',\n 'selectstart',\n 'selectend',\n 'keydown',\n 'keypress',\n 'keyup',\n 'orientationchange',\n 'touchstart',\n 'touchmove',\n 'touchend',\n 'touchcancel',\n 'pointerdown',\n 'pointermove',\n 'pointerup',\n 'pointerleave',\n 'pointercancel',\n 'gesturestart',\n 'gesturechange',\n 'gestureend',\n 'focus',\n 'blur',\n 'change',\n 'reset',\n 'select',\n 'submit',\n 'focusin',\n 'focusout',\n 'load',\n 'unload',\n 'beforeunload',\n 'resize',\n 'move',\n 'DOMContentLoaded',\n 'readystatechange',\n 'error',\n 'abort',\n 'scroll'\n])\n\n/**\n * Private methods\n */\n\nfunction makeEventUid(element, uid) {\n return (uid && `${uid}::${uidEvent++}`) || element.uidEvent || uidEvent++\n}\n\nfunction getElementEvents(element) {\n const uid = makeEventUid(element)\n\n element.uidEvent = uid\n eventRegistry[uid] = eventRegistry[uid] || {}\n\n return eventRegistry[uid]\n}\n\nfunction bootstrapHandler(element, fn) {\n return function handler(event) {\n hydrateObj(event, { delegateTarget: element })\n\n if (handler.oneOff) {\n EventHandler.off(element, event.type, fn)\n }\n\n return fn.apply(element, [event])\n }\n}\n\nfunction bootstrapDelegationHandler(element, selector, fn) {\n return function handler(event) {\n const domElements = element.querySelectorAll(selector)\n\n for (let { target } = event; target && target !== this; target = target.parentNode) {\n for (const domElement of domElements) {\n if (domElement !== target) {\n continue\n }\n\n hydrateObj(event, { delegateTarget: target })\n\n if (handler.oneOff) {\n EventHandler.off(element, event.type, selector, fn)\n }\n\n return fn.apply(target, [event])\n }\n }\n }\n}\n\nfunction findHandler(events, callable, delegationSelector = null) {\n return Object.values(events)\n .find(event => event.callable === callable && event.delegationSelector === delegationSelector)\n}\n\nfunction normalizeParameters(originalTypeEvent, handler, delegationFunction) {\n const isDelegated = typeof handler === 'string'\n // TODO: tooltip passes `false` instead of selector, so we need to check\n const callable = isDelegated ? delegationFunction : (handler || delegationFunction)\n let typeEvent = getTypeEvent(originalTypeEvent)\n\n if (!nativeEvents.has(typeEvent)) {\n typeEvent = originalTypeEvent\n }\n\n return [isDelegated, callable, typeEvent]\n}\n\nfunction addHandler(element, originalTypeEvent, handler, delegationFunction, oneOff) {\n if (typeof originalTypeEvent !== 'string' || !element) {\n return\n }\n\n let [isDelegated, callable, typeEvent] = normalizeParameters(originalTypeEvent, handler, delegationFunction)\n\n // in case of mouseenter or mouseleave wrap the handler within a function that checks for its DOM position\n // this prevents the handler from being dispatched the same way as mouseover or mouseout does\n if (originalTypeEvent in customEvents) {\n const wrapFunction = fn => {\n return function (event) {\n if (!event.relatedTarget || (event.relatedTarget !== event.delegateTarget && !event.delegateTarget.contains(event.relatedTarget))) {\n return fn.call(this, event)\n }\n }\n }\n\n callable = wrapFunction(callable)\n }\n\n const events = getElementEvents(element)\n const handlers = events[typeEvent] || (events[typeEvent] = {})\n const previousFunction = findHandler(handlers, callable, isDelegated ? handler : null)\n\n if (previousFunction) {\n previousFunction.oneOff = previousFunction.oneOff && oneOff\n\n return\n }\n\n const uid = makeEventUid(callable, originalTypeEvent.replace(namespaceRegex, ''))\n const fn = isDelegated ?\n bootstrapDelegationHandler(element, handler, callable) :\n bootstrapHandler(element, callable)\n\n fn.delegationSelector = isDelegated ? handler : null\n fn.callable = callable\n fn.oneOff = oneOff\n fn.uidEvent = uid\n handlers[uid] = fn\n\n element.addEventListener(typeEvent, fn, isDelegated)\n}\n\nfunction removeHandler(element, events, typeEvent, handler, delegationSelector) {\n const fn = findHandler(events[typeEvent], handler, delegationSelector)\n\n if (!fn) {\n return\n }\n\n element.removeEventListener(typeEvent, fn, Boolean(delegationSelector))\n delete events[typeEvent][fn.uidEvent]\n}\n\nfunction removeNamespacedHandlers(element, events, typeEvent, namespace) {\n const storeElementEvent = events[typeEvent] || {}\n\n for (const [handlerKey, event] of Object.entries(storeElementEvent)) {\n if (handlerKey.includes(namespace)) {\n removeHandler(element, events, typeEvent, event.callable, event.delegationSelector)\n }\n }\n}\n\nfunction getTypeEvent(event) {\n // allow to get the native events from namespaced events ('click.bs.button' --> 'click')\n event = event.replace(stripNameRegex, '')\n return customEvents[event] || event\n}\n\nconst EventHandler = {\n on(element, event, handler, delegationFunction) {\n addHandler(element, event, handler, delegationFunction, false)\n },\n\n one(element, event, handler, delegationFunction) {\n addHandler(element, event, handler, delegationFunction, true)\n },\n\n off(element, originalTypeEvent, handler, delegationFunction) {\n if (typeof originalTypeEvent !== 'string' || !element) {\n return\n }\n\n const [isDelegated, callable, typeEvent] = normalizeParameters(originalTypeEvent, handler, delegationFunction)\n const inNamespace = typeEvent !== originalTypeEvent\n const events = getElementEvents(element)\n const storeElementEvent = events[typeEvent] || {}\n const isNamespace = originalTypeEvent.startsWith('.')\n\n if (typeof callable !== 'undefined') {\n // Simplest case: handler is passed, remove that listener ONLY.\n if (!Object.keys(storeElementEvent).length) {\n return\n }\n\n removeHandler(element, events, typeEvent, callable, isDelegated ? handler : null)\n return\n }\n\n if (isNamespace) {\n for (const elementEvent of Object.keys(events)) {\n removeNamespacedHandlers(element, events, elementEvent, originalTypeEvent.slice(1))\n }\n }\n\n for (const [keyHandlers, event] of Object.entries(storeElementEvent)) {\n const handlerKey = keyHandlers.replace(stripUidRegex, '')\n\n if (!inNamespace || originalTypeEvent.includes(handlerKey)) {\n removeHandler(element, events, typeEvent, event.callable, event.delegationSelector)\n }\n }\n },\n\n trigger(element, event, args) {\n if (typeof event !== 'string' || !element) {\n return null\n }\n\n const $ = getjQuery()\n const typeEvent = getTypeEvent(event)\n const inNamespace = event !== typeEvent\n\n let jQueryEvent = null\n let bubbles = true\n let nativeDispatch = true\n let defaultPrevented = false\n\n if (inNamespace && $) {\n jQueryEvent = $.Event(event, args)\n\n $(element).trigger(jQueryEvent)\n bubbles = !jQueryEvent.isPropagationStopped()\n nativeDispatch = !jQueryEvent.isImmediatePropagationStopped()\n defaultPrevented = jQueryEvent.isDefaultPrevented()\n }\n\n const evt = hydrateObj(new Event(event, { bubbles, cancelable: true }), args)\n\n if (defaultPrevented) {\n evt.preventDefault()\n }\n\n if (nativeDispatch) {\n element.dispatchEvent(evt)\n }\n\n if (evt.defaultPrevented && jQueryEvent) {\n jQueryEvent.preventDefault()\n }\n\n return evt\n }\n}\n\nfunction hydrateObj(obj, meta = {}) {\n for (const [key, value] of Object.entries(meta)) {\n try {\n obj[key] = value\n } catch {\n Object.defineProperty(obj, key, {\n configurable: true,\n get() {\n return value\n }\n })\n }\n }\n\n return obj\n}\n\nexport default EventHandler\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap dom/manipulator.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nfunction normalizeData(value) {\n if (value === 'true') {\n return true\n }\n\n if (value === 'false') {\n return false\n }\n\n if (value === Number(value).toString()) {\n return Number(value)\n }\n\n if (value === '' || value === 'null') {\n return null\n }\n\n if (typeof value !== 'string') {\n return value\n }\n\n try {\n return JSON.parse(decodeURIComponent(value))\n } catch {\n return value\n }\n}\n\nfunction normalizeDataKey(key) {\n return key.replace(/[A-Z]/g, chr => `-${chr.toLowerCase()}`)\n}\n\nconst Manipulator = {\n setDataAttribute(element, key, value) {\n element.setAttribute(`data-bs-${normalizeDataKey(key)}`, value)\n },\n\n removeDataAttribute(element, key) {\n element.removeAttribute(`data-bs-${normalizeDataKey(key)}`)\n },\n\n getDataAttributes(element) {\n if (!element) {\n return {}\n }\n\n const attributes = {}\n const bsKeys = Object.keys(element.dataset).filter(key => key.startsWith('bs') && !key.startsWith('bsConfig'))\n\n for (const key of bsKeys) {\n let pureKey = key.replace(/^bs/, '')\n pureKey = pureKey.charAt(0).toLowerCase() + pureKey.slice(1, pureKey.length)\n attributes[pureKey] = normalizeData(element.dataset[key])\n }\n\n return attributes\n },\n\n getDataAttribute(element, key) {\n return normalizeData(element.getAttribute(`data-bs-${normalizeDataKey(key)}`))\n }\n}\n\nexport default Manipulator\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap util/config.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport Manipulator from '../dom/manipulator.js'\nimport { isElement, toType } from './index.js'\n\n/**\n * Class definition\n */\n\nclass Config {\n // Getters\n static get Default() {\n return {}\n }\n\n static get DefaultType() {\n return {}\n }\n\n static get NAME() {\n throw new Error('You have to implement the static method \"NAME\", for each component!')\n }\n\n _getConfig(config) {\n config = this._mergeConfigObj(config)\n config = this._configAfterMerge(config)\n this._typeCheckConfig(config)\n return config\n }\n\n _configAfterMerge(config) {\n return config\n }\n\n _mergeConfigObj(config, element) {\n const jsonConfig = isElement(element) ? Manipulator.getDataAttribute(element, 'config') : {} // try to parse\n\n return {\n ...this.constructor.Default,\n ...(typeof jsonConfig === 'object' ? jsonConfig : {}),\n ...(isElement(element) ? Manipulator.getDataAttributes(element) : {}),\n ...(typeof config === 'object' ? config : {})\n }\n }\n\n _typeCheckConfig(config, configTypes = this.constructor.DefaultType) {\n for (const [property, expectedTypes] of Object.entries(configTypes)) {\n const value = config[property]\n const valueType = isElement(value) ? 'element' : toType(value)\n\n if (!new RegExp(expectedTypes).test(valueType)) {\n throw new TypeError(\n `${this.constructor.NAME.toUpperCase()}: Option \"${property}\" provided type \"${valueType}\" but expected type \"${expectedTypes}\".`\n )\n }\n }\n }\n}\n\nexport default Config\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap base-component.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport Data from './dom/data.js'\nimport EventHandler from './dom/event-handler.js'\nimport Config from './util/config.js'\nimport { executeAfterTransition, getElement } from './util/index.js'\n\n/**\n * Constants\n */\n\nconst VERSION = '5.3.1'\n\n/**\n * Class definition\n */\n\nclass BaseComponent extends Config {\n constructor(element, config) {\n super()\n\n element = getElement(element)\n if (!element) {\n return\n }\n\n this._element = element\n this._config = this._getConfig(config)\n\n Data.set(this._element, this.constructor.DATA_KEY, this)\n }\n\n // Public\n dispose() {\n Data.remove(this._element, this.constructor.DATA_KEY)\n EventHandler.off(this._element, this.constructor.EVENT_KEY)\n\n for (const propertyName of Object.getOwnPropertyNames(this)) {\n this[propertyName] = null\n }\n }\n\n _queueCallback(callback, element, isAnimated = true) {\n executeAfterTransition(callback, element, isAnimated)\n }\n\n _getConfig(config) {\n config = this._mergeConfigObj(config, this._element)\n config = this._configAfterMerge(config)\n this._typeCheckConfig(config)\n return config\n }\n\n // Static\n static getInstance(element) {\n return Data.get(getElement(element), this.DATA_KEY)\n }\n\n static getOrCreateInstance(element, config = {}) {\n return this.getInstance(element) || new this(element, typeof config === 'object' ? config : null)\n }\n\n static get VERSION() {\n return VERSION\n }\n\n static get DATA_KEY() {\n return `bs.${this.NAME}`\n }\n\n static get EVENT_KEY() {\n return `.${this.DATA_KEY}`\n }\n\n static eventName(name) {\n return `${name}${this.EVENT_KEY}`\n }\n}\n\nexport default BaseComponent\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap dom/selector-engine.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport { isDisabled, isVisible, parseSelector } from '../util/index.js'\n\nconst getSelector = element => {\n let selector = element.getAttribute('data-bs-target')\n\n if (!selector || selector === '#') {\n let hrefAttribute = element.getAttribute('href')\n\n // The only valid content that could double as a selector are IDs or classes,\n // so everything starting with `#` or `.`. If a \"real\" URL is used as the selector,\n // `document.querySelector` will rightfully complain it is invalid.\n // See https://github.com/twbs/bootstrap/issues/32273\n if (!hrefAttribute || (!hrefAttribute.includes('#') && !hrefAttribute.startsWith('.'))) {\n return null\n }\n\n // Just in case some CMS puts out a full URL with the anchor appended\n if (hrefAttribute.includes('#') && !hrefAttribute.startsWith('#')) {\n hrefAttribute = `#${hrefAttribute.split('#')[1]}`\n }\n\n selector = hrefAttribute && hrefAttribute !== '#' ? hrefAttribute.trim() : null\n }\n\n return parseSelector(selector)\n}\n\nconst SelectorEngine = {\n find(selector, element = document.documentElement) {\n return [].concat(...Element.prototype.querySelectorAll.call(element, selector))\n },\n\n findOne(selector, element = document.documentElement) {\n return Element.prototype.querySelector.call(element, selector)\n },\n\n children(element, selector) {\n return [].concat(...element.children).filter(child => child.matches(selector))\n },\n\n parents(element, selector) {\n const parents = []\n let ancestor = element.parentNode.closest(selector)\n\n while (ancestor) {\n parents.push(ancestor)\n ancestor = ancestor.parentNode.closest(selector)\n }\n\n return parents\n },\n\n prev(element, selector) {\n let previous = element.previousElementSibling\n\n while (previous) {\n if (previous.matches(selector)) {\n return [previous]\n }\n\n previous = previous.previousElementSibling\n }\n\n return []\n },\n // TODO: this is now unused; remove later along with prev()\n next(element, selector) {\n let next = element.nextElementSibling\n\n while (next) {\n if (next.matches(selector)) {\n return [next]\n }\n\n next = next.nextElementSibling\n }\n\n return []\n },\n\n focusableChildren(element) {\n const focusables = [\n 'a',\n 'button',\n 'input',\n 'textarea',\n 'select',\n 'details',\n '[tabindex]',\n '[contenteditable=\"true\"]'\n ].map(selector => `${selector}:not([tabindex^=\"-\"])`).join(',')\n\n return this.find(focusables, element).filter(el => !isDisabled(el) && isVisible(el))\n },\n\n getSelectorFromElement(element) {\n const selector = getSelector(element)\n\n if (selector) {\n return SelectorEngine.findOne(selector) ? selector : null\n }\n\n return null\n },\n\n getElementFromSelector(element) {\n const selector = getSelector(element)\n\n return selector ? SelectorEngine.findOne(selector) : null\n },\n\n getMultipleElementsFromSelector(element) {\n const selector = getSelector(element)\n\n return selector ? SelectorEngine.find(selector) : []\n }\n}\n\nexport default SelectorEngine\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap util/component-functions.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport EventHandler from '../dom/event-handler.js'\nimport SelectorEngine from '../dom/selector-engine.js'\nimport { isDisabled } from './index.js'\n\nconst enableDismissTrigger = (component, method = 'hide') => {\n const clickEvent = `click.dismiss${component.EVENT_KEY}`\n const name = component.NAME\n\n EventHandler.on(document, clickEvent, `[data-bs-dismiss=\"${name}\"]`, function (event) {\n if (['A', 'AREA'].includes(this.tagName)) {\n event.preventDefault()\n }\n\n if (isDisabled(this)) {\n return\n }\n\n const target = SelectorEngine.getElementFromSelector(this) || this.closest(`.${name}`)\n const instance = component.getOrCreateInstance(target)\n\n // Method argument is left, for Alert and only, as it doesn't implement the 'hide' method\n instance[method]()\n })\n}\n\nexport {\n enableDismissTrigger\n}\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap alert.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport BaseComponent from './base-component.js'\nimport EventHandler from './dom/event-handler.js'\nimport { enableDismissTrigger } from './util/component-functions.js'\nimport { defineJQueryPlugin } from './util/index.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'alert'\nconst DATA_KEY = 'bs.alert'\nconst EVENT_KEY = `.${DATA_KEY}`\n\nconst EVENT_CLOSE = `close${EVENT_KEY}`\nconst EVENT_CLOSED = `closed${EVENT_KEY}`\nconst CLASS_NAME_FADE = 'fade'\nconst CLASS_NAME_SHOW = 'show'\n\n/**\n * Class definition\n */\n\nclass Alert extends BaseComponent {\n // Getters\n static get NAME() {\n return NAME\n }\n\n // Public\n close() {\n const closeEvent = EventHandler.trigger(this._element, EVENT_CLOSE)\n\n if (closeEvent.defaultPrevented) {\n return\n }\n\n this._element.classList.remove(CLASS_NAME_SHOW)\n\n const isAnimated = this._element.classList.contains(CLASS_NAME_FADE)\n this._queueCallback(() => this._destroyElement(), this._element, isAnimated)\n }\n\n // Private\n _destroyElement() {\n this._element.remove()\n EventHandler.trigger(this._element, EVENT_CLOSED)\n this.dispose()\n }\n\n // Static\n static jQueryInterface(config) {\n return this.each(function () {\n const data = Alert.getOrCreateInstance(this)\n\n if (typeof config !== 'string') {\n return\n }\n\n if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n throw new TypeError(`No method named \"${config}\"`)\n }\n\n data[config](this)\n })\n }\n}\n\n/**\n * Data API implementation\n */\n\nenableDismissTrigger(Alert, 'close')\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Alert)\n\nexport default Alert\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap button.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport BaseComponent from './base-component.js'\nimport EventHandler from './dom/event-handler.js'\nimport { defineJQueryPlugin } from './util/index.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'button'\nconst DATA_KEY = 'bs.button'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst DATA_API_KEY = '.data-api'\n\nconst CLASS_NAME_ACTIVE = 'active'\nconst SELECTOR_DATA_TOGGLE = '[data-bs-toggle=\"button\"]'\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY}${DATA_API_KEY}`\n\n/**\n * Class definition\n */\n\nclass Button extends BaseComponent {\n // Getters\n static get NAME() {\n return NAME\n }\n\n // Public\n toggle() {\n // Toggle class and sync the `aria-pressed` attribute with the return value of the `.toggle()` method\n this._element.setAttribute('aria-pressed', this._element.classList.toggle(CLASS_NAME_ACTIVE))\n }\n\n // Static\n static jQueryInterface(config) {\n return this.each(function () {\n const data = Button.getOrCreateInstance(this)\n\n if (config === 'toggle') {\n data[config]()\n }\n })\n }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_TOGGLE, event => {\n event.preventDefault()\n\n const button = event.target.closest(SELECTOR_DATA_TOGGLE)\n const data = Button.getOrCreateInstance(button)\n\n data.toggle()\n})\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Button)\n\nexport default Button\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap util/swipe.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport EventHandler from '../dom/event-handler.js'\nimport Config from './config.js'\nimport { execute } from './index.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'swipe'\nconst EVENT_KEY = '.bs.swipe'\nconst EVENT_TOUCHSTART = `touchstart${EVENT_KEY}`\nconst EVENT_TOUCHMOVE = `touchmove${EVENT_KEY}`\nconst EVENT_TOUCHEND = `touchend${EVENT_KEY}`\nconst EVENT_POINTERDOWN = `pointerdown${EVENT_KEY}`\nconst EVENT_POINTERUP = `pointerup${EVENT_KEY}`\nconst POINTER_TYPE_TOUCH = 'touch'\nconst POINTER_TYPE_PEN = 'pen'\nconst CLASS_NAME_POINTER_EVENT = 'pointer-event'\nconst SWIPE_THRESHOLD = 40\n\nconst Default = {\n endCallback: null,\n leftCallback: null,\n rightCallback: null\n}\n\nconst DefaultType = {\n endCallback: '(function|null)',\n leftCallback: '(function|null)',\n rightCallback: '(function|null)'\n}\n\n/**\n * Class definition\n */\n\nclass Swipe extends Config {\n constructor(element, config) {\n super()\n this._element = element\n\n if (!element || !Swipe.isSupported()) {\n return\n }\n\n this._config = this._getConfig(config)\n this._deltaX = 0\n this._supportPointerEvents = Boolean(window.PointerEvent)\n this._initEvents()\n }\n\n // Getters\n static get Default() {\n return Default\n }\n\n static get DefaultType() {\n return DefaultType\n }\n\n static get NAME() {\n return NAME\n }\n\n // Public\n dispose() {\n EventHandler.off(this._element, EVENT_KEY)\n }\n\n // Private\n _start(event) {\n if (!this._supportPointerEvents) {\n this._deltaX = event.touches[0].clientX\n\n return\n }\n\n if (this._eventIsPointerPenTouch(event)) {\n this._deltaX = event.clientX\n }\n }\n\n _end(event) {\n if (this._eventIsPointerPenTouch(event)) {\n this._deltaX = event.clientX - this._deltaX\n }\n\n this._handleSwipe()\n execute(this._config.endCallback)\n }\n\n _move(event) {\n this._deltaX = event.touches && event.touches.length > 1 ?\n 0 :\n event.touches[0].clientX - this._deltaX\n }\n\n _handleSwipe() {\n const absDeltaX = Math.abs(this._deltaX)\n\n if (absDeltaX <= SWIPE_THRESHOLD) {\n return\n }\n\n const direction = absDeltaX / this._deltaX\n\n this._deltaX = 0\n\n if (!direction) {\n return\n }\n\n execute(direction > 0 ? this._config.rightCallback : this._config.leftCallback)\n }\n\n _initEvents() {\n if (this._supportPointerEvents) {\n EventHandler.on(this._element, EVENT_POINTERDOWN, event => this._start(event))\n EventHandler.on(this._element, EVENT_POINTERUP, event => this._end(event))\n\n this._element.classList.add(CLASS_NAME_POINTER_EVENT)\n } else {\n EventHandler.on(this._element, EVENT_TOUCHSTART, event => this._start(event))\n EventHandler.on(this._element, EVENT_TOUCHMOVE, event => this._move(event))\n EventHandler.on(this._element, EVENT_TOUCHEND, event => this._end(event))\n }\n }\n\n _eventIsPointerPenTouch(event) {\n return this._supportPointerEvents && (event.pointerType === POINTER_TYPE_PEN || event.pointerType === POINTER_TYPE_TOUCH)\n }\n\n // Static\n static isSupported() {\n return 'ontouchstart' in document.documentElement || navigator.maxTouchPoints > 0\n }\n}\n\nexport default Swipe\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap carousel.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport BaseComponent from './base-component.js'\nimport EventHandler from './dom/event-handler.js'\nimport Manipulator from './dom/manipulator.js'\nimport SelectorEngine from './dom/selector-engine.js'\nimport {\n defineJQueryPlugin,\n getNextActiveElement,\n isRTL,\n isVisible,\n reflow,\n triggerTransitionEnd\n} from './util/index.js'\nimport Swipe from './util/swipe.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'carousel'\nconst DATA_KEY = 'bs.carousel'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst DATA_API_KEY = '.data-api'\n\nconst ARROW_LEFT_KEY = 'ArrowLeft'\nconst ARROW_RIGHT_KEY = 'ArrowRight'\nconst TOUCHEVENT_COMPAT_WAIT = 500 // Time for mouse compat events to fire after touch\n\nconst ORDER_NEXT = 'next'\nconst ORDER_PREV = 'prev'\nconst DIRECTION_LEFT = 'left'\nconst DIRECTION_RIGHT = 'right'\n\nconst EVENT_SLIDE = `slide${EVENT_KEY}`\nconst EVENT_SLID = `slid${EVENT_KEY}`\nconst EVENT_KEYDOWN = `keydown${EVENT_KEY}`\nconst EVENT_MOUSEENTER = `mouseenter${EVENT_KEY}`\nconst EVENT_MOUSELEAVE = `mouseleave${EVENT_KEY}`\nconst EVENT_DRAG_START = `dragstart${EVENT_KEY}`\nconst EVENT_LOAD_DATA_API = `load${EVENT_KEY}${DATA_API_KEY}`\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY}${DATA_API_KEY}`\n\nconst CLASS_NAME_CAROUSEL = 'carousel'\nconst CLASS_NAME_ACTIVE = 'active'\nconst CLASS_NAME_SLIDE = 'slide'\nconst CLASS_NAME_END = 'carousel-item-end'\nconst CLASS_NAME_START = 'carousel-item-start'\nconst CLASS_NAME_NEXT = 'carousel-item-next'\nconst CLASS_NAME_PREV = 'carousel-item-prev'\n\nconst SELECTOR_ACTIVE = '.active'\nconst SELECTOR_ITEM = '.carousel-item'\nconst SELECTOR_ACTIVE_ITEM = SELECTOR_ACTIVE + SELECTOR_ITEM\nconst SELECTOR_ITEM_IMG = '.carousel-item img'\nconst SELECTOR_INDICATORS = '.carousel-indicators'\nconst SELECTOR_DATA_SLIDE = '[data-bs-slide], [data-bs-slide-to]'\nconst SELECTOR_DATA_RIDE = '[data-bs-ride=\"carousel\"]'\n\nconst KEY_TO_DIRECTION = {\n [ARROW_LEFT_KEY]: DIRECTION_RIGHT,\n [ARROW_RIGHT_KEY]: DIRECTION_LEFT\n}\n\nconst Default = {\n interval: 5000,\n keyboard: true,\n pause: 'hover',\n ride: false,\n touch: true,\n wrap: true\n}\n\nconst DefaultType = {\n interval: '(number|boolean)', // TODO:v6 remove boolean support\n keyboard: 'boolean',\n pause: '(string|boolean)',\n ride: '(boolean|string)',\n touch: 'boolean',\n wrap: 'boolean'\n}\n\n/**\n * Class definition\n */\n\nclass Carousel extends BaseComponent {\n constructor(element, config) {\n super(element, config)\n\n this._interval = null\n this._activeElement = null\n this._isSliding = false\n this.touchTimeout = null\n this._swipeHelper = null\n\n this._indicatorsElement = SelectorEngine.findOne(SELECTOR_INDICATORS, this._element)\n this._addEventListeners()\n\n if (this._config.ride === CLASS_NAME_CAROUSEL) {\n this.cycle()\n }\n }\n\n // Getters\n static get Default() {\n return Default\n }\n\n static get DefaultType() {\n return DefaultType\n }\n\n static get NAME() {\n return NAME\n }\n\n // Public\n next() {\n this._slide(ORDER_NEXT)\n }\n\n nextWhenVisible() {\n // FIXME TODO use `document.visibilityState`\n // Don't call next when the page isn't visible\n // or the carousel or its parent isn't visible\n if (!document.hidden && isVisible(this._element)) {\n this.next()\n }\n }\n\n prev() {\n this._slide(ORDER_PREV)\n }\n\n pause() {\n if (this._isSliding) {\n triggerTransitionEnd(this._element)\n }\n\n this._clearInterval()\n }\n\n cycle() {\n this._clearInterval()\n this._updateInterval()\n\n this._interval = setInterval(() => this.nextWhenVisible(), this._config.interval)\n }\n\n _maybeEnableCycle() {\n if (!this._config.ride) {\n return\n }\n\n if (this._isSliding) {\n EventHandler.one(this._element, EVENT_SLID, () => this.cycle())\n return\n }\n\n this.cycle()\n }\n\n to(index) {\n const items = this._getItems()\n if (index > items.length - 1 || index < 0) {\n return\n }\n\n if (this._isSliding) {\n EventHandler.one(this._element, EVENT_SLID, () => this.to(index))\n return\n }\n\n const activeIndex = this._getItemIndex(this._getActive())\n if (activeIndex === index) {\n return\n }\n\n const order = index > activeIndex ? ORDER_NEXT : ORDER_PREV\n\n this._slide(order, items[index])\n }\n\n dispose() {\n if (this._swipeHelper) {\n this._swipeHelper.dispose()\n }\n\n super.dispose()\n }\n\n // Private\n _configAfterMerge(config) {\n config.defaultInterval = config.interval\n return config\n }\n\n _addEventListeners() {\n if (this._config.keyboard) {\n EventHandler.on(this._element, EVENT_KEYDOWN, event => this._keydown(event))\n }\n\n if (this._config.pause === 'hover') {\n EventHandler.on(this._element, EVENT_MOUSEENTER, () => this.pause())\n EventHandler.on(this._element, EVENT_MOUSELEAVE, () => this._maybeEnableCycle())\n }\n\n if (this._config.touch && Swipe.isSupported()) {\n this._addTouchEventListeners()\n }\n }\n\n _addTouchEventListeners() {\n for (const img of SelectorEngine.find(SELECTOR_ITEM_IMG, this._element)) {\n EventHandler.on(img, EVENT_DRAG_START, event => event.preventDefault())\n }\n\n const endCallBack = () => {\n if (this._config.pause !== 'hover') {\n return\n }\n\n // If it's a touch-enabled device, mouseenter/leave are fired as\n // part of the mouse compatibility events on first tap - the carousel\n // would stop cycling until user tapped out of it;\n // here, we listen for touchend, explicitly pause the carousel\n // (as if it's the second time we tap on it, mouseenter compat event\n // is NOT fired) and after a timeout (to allow for mouse compatibility\n // events to fire) we explicitly restart cycling\n\n this.pause()\n if (this.touchTimeout) {\n clearTimeout(this.touchTimeout)\n }\n\n this.touchTimeout = setTimeout(() => this._maybeEnableCycle(), TOUCHEVENT_COMPAT_WAIT + this._config.interval)\n }\n\n const swipeConfig = {\n leftCallback: () => this._slide(this._directionToOrder(DIRECTION_LEFT)),\n rightCallback: () => this._slide(this._directionToOrder(DIRECTION_RIGHT)),\n endCallback: endCallBack\n }\n\n this._swipeHelper = new Swipe(this._element, swipeConfig)\n }\n\n _keydown(event) {\n if (/input|textarea/i.test(event.target.tagName)) {\n return\n }\n\n const direction = KEY_TO_DIRECTION[event.key]\n if (direction) {\n event.preventDefault()\n this._slide(this._directionToOrder(direction))\n }\n }\n\n _getItemIndex(element) {\n return this._getItems().indexOf(element)\n }\n\n _setActiveIndicatorElement(index) {\n if (!this._indicatorsElement) {\n return\n }\n\n const activeIndicator = SelectorEngine.findOne(SELECTOR_ACTIVE, this._indicatorsElement)\n\n activeIndicator.classList.remove(CLASS_NAME_ACTIVE)\n activeIndicator.removeAttribute('aria-current')\n\n const newActiveIndicator = SelectorEngine.findOne(`[data-bs-slide-to=\"${index}\"]`, this._indicatorsElement)\n\n if (newActiveIndicator) {\n newActiveIndicator.classList.add(CLASS_NAME_ACTIVE)\n newActiveIndicator.setAttribute('aria-current', 'true')\n }\n }\n\n _updateInterval() {\n const element = this._activeElement || this._getActive()\n\n if (!element) {\n return\n }\n\n const elementInterval = Number.parseInt(element.getAttribute('data-bs-interval'), 10)\n\n this._config.interval = elementInterval || this._config.defaultInterval\n }\n\n _slide(order, element = null) {\n if (this._isSliding) {\n return\n }\n\n const activeElement = this._getActive()\n const isNext = order === ORDER_NEXT\n const nextElement = element || getNextActiveElement(this._getItems(), activeElement, isNext, this._config.wrap)\n\n if (nextElement === activeElement) {\n return\n }\n\n const nextElementIndex = this._getItemIndex(nextElement)\n\n const triggerEvent = eventName => {\n return EventHandler.trigger(this._element, eventName, {\n relatedTarget: nextElement,\n direction: this._orderToDirection(order),\n from: this._getItemIndex(activeElement),\n to: nextElementIndex\n })\n }\n\n const slideEvent = triggerEvent(EVENT_SLIDE)\n\n if (slideEvent.defaultPrevented) {\n return\n }\n\n if (!activeElement || !nextElement) {\n // Some weirdness is happening, so we bail\n // TODO: change tests that use empty divs to avoid this check\n return\n }\n\n const isCycling = Boolean(this._interval)\n this.pause()\n\n this._isSliding = true\n\n this._setActiveIndicatorElement(nextElementIndex)\n this._activeElement = nextElement\n\n const directionalClassName = isNext ? CLASS_NAME_START : CLASS_NAME_END\n const orderClassName = isNext ? CLASS_NAME_NEXT : CLASS_NAME_PREV\n\n nextElement.classList.add(orderClassName)\n\n reflow(nextElement)\n\n activeElement.classList.add(directionalClassName)\n nextElement.classList.add(directionalClassName)\n\n const completeCallBack = () => {\n nextElement.classList.remove(directionalClassName, orderClassName)\n nextElement.classList.add(CLASS_NAME_ACTIVE)\n\n activeElement.classList.remove(CLASS_NAME_ACTIVE, orderClassName, directionalClassName)\n\n this._isSliding = false\n\n triggerEvent(EVENT_SLID)\n }\n\n this._queueCallback(completeCallBack, activeElement, this._isAnimated())\n\n if (isCycling) {\n this.cycle()\n }\n }\n\n _isAnimated() {\n return this._element.classList.contains(CLASS_NAME_SLIDE)\n }\n\n _getActive() {\n return SelectorEngine.findOne(SELECTOR_ACTIVE_ITEM, this._element)\n }\n\n _getItems() {\n return SelectorEngine.find(SELECTOR_ITEM, this._element)\n }\n\n _clearInterval() {\n if (this._interval) {\n clearInterval(this._interval)\n this._interval = null\n }\n }\n\n _directionToOrder(direction) {\n if (isRTL()) {\n return direction === DIRECTION_LEFT ? ORDER_PREV : ORDER_NEXT\n }\n\n return direction === DIRECTION_LEFT ? ORDER_NEXT : ORDER_PREV\n }\n\n _orderToDirection(order) {\n if (isRTL()) {\n return order === ORDER_PREV ? DIRECTION_LEFT : DIRECTION_RIGHT\n }\n\n return order === ORDER_PREV ? DIRECTION_RIGHT : DIRECTION_LEFT\n }\n\n // Static\n static jQueryInterface(config) {\n return this.each(function () {\n const data = Carousel.getOrCreateInstance(this, config)\n\n if (typeof config === 'number') {\n data.to(config)\n return\n }\n\n if (typeof config === 'string') {\n if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n throw new TypeError(`No method named \"${config}\"`)\n }\n\n data[config]()\n }\n })\n }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_SLIDE, function (event) {\n const target = SelectorEngine.getElementFromSelector(this)\n\n if (!target || !target.classList.contains(CLASS_NAME_CAROUSEL)) {\n return\n }\n\n event.preventDefault()\n\n const carousel = Carousel.getOrCreateInstance(target)\n const slideIndex = this.getAttribute('data-bs-slide-to')\n\n if (slideIndex) {\n carousel.to(slideIndex)\n carousel._maybeEnableCycle()\n return\n }\n\n if (Manipulator.getDataAttribute(this, 'slide') === 'next') {\n carousel.next()\n carousel._maybeEnableCycle()\n return\n }\n\n carousel.prev()\n carousel._maybeEnableCycle()\n})\n\nEventHandler.on(window, EVENT_LOAD_DATA_API, () => {\n const carousels = SelectorEngine.find(SELECTOR_DATA_RIDE)\n\n for (const carousel of carousels) {\n Carousel.getOrCreateInstance(carousel)\n }\n})\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Carousel)\n\nexport default Carousel\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap collapse.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport BaseComponent from './base-component.js'\nimport EventHandler from './dom/event-handler.js'\nimport SelectorEngine from './dom/selector-engine.js'\nimport {\n defineJQueryPlugin,\n getElement,\n reflow\n} from './util/index.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'collapse'\nconst DATA_KEY = 'bs.collapse'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst DATA_API_KEY = '.data-api'\n\nconst EVENT_SHOW = `show${EVENT_KEY}`\nconst EVENT_SHOWN = `shown${EVENT_KEY}`\nconst EVENT_HIDE = `hide${EVENT_KEY}`\nconst EVENT_HIDDEN = `hidden${EVENT_KEY}`\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY}${DATA_API_KEY}`\n\nconst CLASS_NAME_SHOW = 'show'\nconst CLASS_NAME_COLLAPSE = 'collapse'\nconst CLASS_NAME_COLLAPSING = 'collapsing'\nconst CLASS_NAME_COLLAPSED = 'collapsed'\nconst CLASS_NAME_DEEPER_CHILDREN = `:scope .${CLASS_NAME_COLLAPSE} .${CLASS_NAME_COLLAPSE}`\nconst CLASS_NAME_HORIZONTAL = 'collapse-horizontal'\n\nconst WIDTH = 'width'\nconst HEIGHT = 'height'\n\nconst SELECTOR_ACTIVES = '.collapse.show, .collapse.collapsing'\nconst SELECTOR_DATA_TOGGLE = '[data-bs-toggle=\"collapse\"]'\n\nconst Default = {\n parent: null,\n toggle: true\n}\n\nconst DefaultType = {\n parent: '(null|element)',\n toggle: 'boolean'\n}\n\n/**\n * Class definition\n */\n\nclass Collapse extends BaseComponent {\n constructor(element, config) {\n super(element, config)\n\n this._isTransitioning = false\n this._triggerArray = []\n\n const toggleList = SelectorEngine.find(SELECTOR_DATA_TOGGLE)\n\n for (const elem of toggleList) {\n const selector = SelectorEngine.getSelectorFromElement(elem)\n const filterElement = SelectorEngine.find(selector)\n .filter(foundElement => foundElement === this._element)\n\n if (selector !== null && filterElement.length) {\n this._triggerArray.push(elem)\n }\n }\n\n this._initializeChildren()\n\n if (!this._config.parent) {\n this._addAriaAndCollapsedClass(this._triggerArray, this._isShown())\n }\n\n if (this._config.toggle) {\n this.toggle()\n }\n }\n\n // Getters\n static get Default() {\n return Default\n }\n\n static get DefaultType() {\n return DefaultType\n }\n\n static get NAME() {\n return NAME\n }\n\n // Public\n toggle() {\n if (this._isShown()) {\n this.hide()\n } else {\n this.show()\n }\n }\n\n show() {\n if (this._isTransitioning || this._isShown()) {\n return\n }\n\n let activeChildren = []\n\n // find active children\n if (this._config.parent) {\n activeChildren = this._getFirstLevelChildren(SELECTOR_ACTIVES)\n .filter(element => element !== this._element)\n .map(element => Collapse.getOrCreateInstance(element, { toggle: false }))\n }\n\n if (activeChildren.length && activeChildren[0]._isTransitioning) {\n return\n }\n\n const startEvent = EventHandler.trigger(this._element, EVENT_SHOW)\n if (startEvent.defaultPrevented) {\n return\n }\n\n for (const activeInstance of activeChildren) {\n activeInstance.hide()\n }\n\n const dimension = this._getDimension()\n\n this._element.classList.remove(CLASS_NAME_COLLAPSE)\n this._element.classList.add(CLASS_NAME_COLLAPSING)\n\n this._element.style[dimension] = 0\n\n this._addAriaAndCollapsedClass(this._triggerArray, true)\n this._isTransitioning = true\n\n const complete = () => {\n this._isTransitioning = false\n\n this._element.classList.remove(CLASS_NAME_COLLAPSING)\n this._element.classList.add(CLASS_NAME_COLLAPSE, CLASS_NAME_SHOW)\n\n this._element.style[dimension] = ''\n\n EventHandler.trigger(this._element, EVENT_SHOWN)\n }\n\n const capitalizedDimension = dimension[0].toUpperCase() + dimension.slice(1)\n const scrollSize = `scroll${capitalizedDimension}`\n\n this._queueCallback(complete, this._element, true)\n this._element.style[dimension] = `${this._element[scrollSize]}px`\n }\n\n hide() {\n if (this._isTransitioning || !this._isShown()) {\n return\n }\n\n const startEvent = EventHandler.trigger(this._element, EVENT_HIDE)\n if (startEvent.defaultPrevented) {\n return\n }\n\n const dimension = this._getDimension()\n\n this._element.style[dimension] = `${this._element.getBoundingClientRect()[dimension]}px`\n\n reflow(this._element)\n\n this._element.classList.add(CLASS_NAME_COLLAPSING)\n this._element.classList.remove(CLASS_NAME_COLLAPSE, CLASS_NAME_SHOW)\n\n for (const trigger of this._triggerArray) {\n const element = SelectorEngine.getElementFromSelector(trigger)\n\n if (element && !this._isShown(element)) {\n this._addAriaAndCollapsedClass([trigger], false)\n }\n }\n\n this._isTransitioning = true\n\n const complete = () => {\n this._isTransitioning = false\n this._element.classList.remove(CLASS_NAME_COLLAPSING)\n this._element.classList.add(CLASS_NAME_COLLAPSE)\n EventHandler.trigger(this._element, EVENT_HIDDEN)\n }\n\n this._element.style[dimension] = ''\n\n this._queueCallback(complete, this._element, true)\n }\n\n _isShown(element = this._element) {\n return element.classList.contains(CLASS_NAME_SHOW)\n }\n\n // Private\n _configAfterMerge(config) {\n config.toggle = Boolean(config.toggle) // Coerce string values\n config.parent = getElement(config.parent)\n return config\n }\n\n _getDimension() {\n return this._element.classList.contains(CLASS_NAME_HORIZONTAL) ? WIDTH : HEIGHT\n }\n\n _initializeChildren() {\n if (!this._config.parent) {\n return\n }\n\n const children = this._getFirstLevelChildren(SELECTOR_DATA_TOGGLE)\n\n for (const element of children) {\n const selected = SelectorEngine.getElementFromSelector(element)\n\n if (selected) {\n this._addAriaAndCollapsedClass([element], this._isShown(selected))\n }\n }\n }\n\n _getFirstLevelChildren(selector) {\n const children = SelectorEngine.find(CLASS_NAME_DEEPER_CHILDREN, this._config.parent)\n // remove children if greater depth\n return SelectorEngine.find(selector, this._config.parent).filter(element => !children.includes(element))\n }\n\n _addAriaAndCollapsedClass(triggerArray, isOpen) {\n if (!triggerArray.length) {\n return\n }\n\n for (const element of triggerArray) {\n element.classList.toggle(CLASS_NAME_COLLAPSED, !isOpen)\n element.setAttribute('aria-expanded', isOpen)\n }\n }\n\n // Static\n static jQueryInterface(config) {\n const _config = {}\n if (typeof config === 'string' && /show|hide/.test(config)) {\n _config.toggle = false\n }\n\n return this.each(function () {\n const data = Collapse.getOrCreateInstance(this, _config)\n\n if (typeof config === 'string') {\n if (typeof data[config] === 'undefined') {\n throw new TypeError(`No method named \"${config}\"`)\n }\n\n data[config]()\n }\n })\n }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_TOGGLE, function (event) {\n // preventDefault only for elements (which change the URL) not inside the collapsible element\n if (event.target.tagName === 'A' || (event.delegateTarget && event.delegateTarget.tagName === 'A')) {\n event.preventDefault()\n }\n\n for (const element of SelectorEngine.getMultipleElementsFromSelector(this)) {\n Collapse.getOrCreateInstance(element, { toggle: false }).toggle()\n }\n})\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Collapse)\n\nexport default Collapse\n","export var top = 'top';\nexport var bottom = 'bottom';\nexport var right = 'right';\nexport var left = 'left';\nexport var auto = 'auto';\nexport var basePlacements = [top, bottom, right, left];\nexport var start = 'start';\nexport var end = 'end';\nexport var clippingParents = 'clippingParents';\nexport var viewport = 'viewport';\nexport var popper = 'popper';\nexport var reference = 'reference';\nexport var variationPlacements = /*#__PURE__*/basePlacements.reduce(function (acc, placement) {\n return acc.concat([placement + \"-\" + start, placement + \"-\" + end]);\n}, []);\nexport var placements = /*#__PURE__*/[].concat(basePlacements, [auto]).reduce(function (acc, placement) {\n return acc.concat([placement, placement + \"-\" + start, placement + \"-\" + end]);\n}, []); // modifiers that need to read the DOM\n\nexport var beforeRead = 'beforeRead';\nexport var read = 'read';\nexport var afterRead = 'afterRead'; // pure-logic modifiers\n\nexport var beforeMain = 'beforeMain';\nexport var main = 'main';\nexport var afterMain = 'afterMain'; // modifier with the purpose to write to the DOM (or write into a framework state)\n\nexport var beforeWrite = 'beforeWrite';\nexport var write = 'write';\nexport var afterWrite = 'afterWrite';\nexport var modifierPhases = [beforeRead, read, afterRead, beforeMain, main, afterMain, beforeWrite, write, afterWrite];","export default function getNodeName(element) {\n return element ? (element.nodeName || '').toLowerCase() : null;\n}","export default function getWindow(node) {\n if (node == null) {\n return window;\n }\n\n if (node.toString() !== '[object Window]') {\n var ownerDocument = node.ownerDocument;\n return ownerDocument ? ownerDocument.defaultView || window : window;\n }\n\n return node;\n}","import getWindow from \"./getWindow.js\";\n\nfunction isElement(node) {\n var OwnElement = getWindow(node).Element;\n return node instanceof OwnElement || node instanceof Element;\n}\n\nfunction isHTMLElement(node) {\n var OwnElement = getWindow(node).HTMLElement;\n return node instanceof OwnElement || node instanceof HTMLElement;\n}\n\nfunction isShadowRoot(node) {\n // IE 11 has no ShadowRoot\n if (typeof ShadowRoot === 'undefined') {\n return false;\n }\n\n var OwnElement = getWindow(node).ShadowRoot;\n return node instanceof OwnElement || node instanceof ShadowRoot;\n}\n\nexport { isElement, isHTMLElement, isShadowRoot };","import getNodeName from \"../dom-utils/getNodeName.js\";\nimport { isHTMLElement } from \"../dom-utils/instanceOf.js\"; // This modifier takes the styles prepared by the `computeStyles` modifier\n// and applies them to the HTMLElements such as popper and arrow\n\nfunction applyStyles(_ref) {\n var state = _ref.state;\n Object.keys(state.elements).forEach(function (name) {\n var style = state.styles[name] || {};\n var attributes = state.attributes[name] || {};\n var element = state.elements[name]; // arrow is optional + virtual elements\n\n if (!isHTMLElement(element) || !getNodeName(element)) {\n return;\n } // Flow doesn't support to extend this property, but it's the most\n // effective way to apply styles to an HTMLElement\n // $FlowFixMe[cannot-write]\n\n\n Object.assign(element.style, style);\n Object.keys(attributes).forEach(function (name) {\n var value = attributes[name];\n\n if (value === false) {\n element.removeAttribute(name);\n } else {\n element.setAttribute(name, value === true ? '' : value);\n }\n });\n });\n}\n\nfunction effect(_ref2) {\n var state = _ref2.state;\n var initialStyles = {\n popper: {\n position: state.options.strategy,\n left: '0',\n top: '0',\n margin: '0'\n },\n arrow: {\n position: 'absolute'\n },\n reference: {}\n };\n Object.assign(state.elements.popper.style, initialStyles.popper);\n state.styles = initialStyles;\n\n if (state.elements.arrow) {\n Object.assign(state.elements.arrow.style, initialStyles.arrow);\n }\n\n return function () {\n Object.keys(state.elements).forEach(function (name) {\n var element = state.elements[name];\n var attributes = state.attributes[name] || {};\n var styleProperties = Object.keys(state.styles.hasOwnProperty(name) ? state.styles[name] : initialStyles[name]); // Set all values to an empty string to unset them\n\n var style = styleProperties.reduce(function (style, property) {\n style[property] = '';\n return style;\n }, {}); // arrow is optional + virtual elements\n\n if (!isHTMLElement(element) || !getNodeName(element)) {\n return;\n }\n\n Object.assign(element.style, style);\n Object.keys(attributes).forEach(function (attribute) {\n element.removeAttribute(attribute);\n });\n });\n };\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'applyStyles',\n enabled: true,\n phase: 'write',\n fn: applyStyles,\n effect: effect,\n requires: ['computeStyles']\n};","import { auto } from \"../enums.js\";\nexport default function getBasePlacement(placement) {\n return placement.split('-')[0];\n}","export var max = Math.max;\nexport var min = Math.min;\nexport var round = Math.round;","export default function getUAString() {\n var uaData = navigator.userAgentData;\n\n if (uaData != null && uaData.brands && Array.isArray(uaData.brands)) {\n return uaData.brands.map(function (item) {\n return item.brand + \"/\" + item.version;\n }).join(' ');\n }\n\n return navigator.userAgent;\n}","import getUAString from \"../utils/userAgent.js\";\nexport default function isLayoutViewport() {\n return !/^((?!chrome|android).)*safari/i.test(getUAString());\n}","import { isElement, isHTMLElement } from \"./instanceOf.js\";\nimport { round } from \"../utils/math.js\";\nimport getWindow from \"./getWindow.js\";\nimport isLayoutViewport from \"./isLayoutViewport.js\";\nexport default function getBoundingClientRect(element, includeScale, isFixedStrategy) {\n if (includeScale === void 0) {\n includeScale = false;\n }\n\n if (isFixedStrategy === void 0) {\n isFixedStrategy = false;\n }\n\n var clientRect = element.getBoundingClientRect();\n var scaleX = 1;\n var scaleY = 1;\n\n if (includeScale && isHTMLElement(element)) {\n scaleX = element.offsetWidth > 0 ? round(clientRect.width) / element.offsetWidth || 1 : 1;\n scaleY = element.offsetHeight > 0 ? round(clientRect.height) / element.offsetHeight || 1 : 1;\n }\n\n var _ref = isElement(element) ? getWindow(element) : window,\n visualViewport = _ref.visualViewport;\n\n var addVisualOffsets = !isLayoutViewport() && isFixedStrategy;\n var x = (clientRect.left + (addVisualOffsets && visualViewport ? visualViewport.offsetLeft : 0)) / scaleX;\n var y = (clientRect.top + (addVisualOffsets && visualViewport ? visualViewport.offsetTop : 0)) / scaleY;\n var width = clientRect.width / scaleX;\n var height = clientRect.height / scaleY;\n return {\n width: width,\n height: height,\n top: y,\n right: x + width,\n bottom: y + height,\n left: x,\n x: x,\n y: y\n };\n}","import getBoundingClientRect from \"./getBoundingClientRect.js\"; // Returns the layout rect of an element relative to its offsetParent. Layout\n// means it doesn't take into account transforms.\n\nexport default function getLayoutRect(element) {\n var clientRect = getBoundingClientRect(element); // Use the clientRect sizes if it's not been transformed.\n // Fixes https://github.com/popperjs/popper-core/issues/1223\n\n var width = element.offsetWidth;\n var height = element.offsetHeight;\n\n if (Math.abs(clientRect.width - width) <= 1) {\n width = clientRect.width;\n }\n\n if (Math.abs(clientRect.height - height) <= 1) {\n height = clientRect.height;\n }\n\n return {\n x: element.offsetLeft,\n y: element.offsetTop,\n width: width,\n height: height\n };\n}","import { isShadowRoot } from \"./instanceOf.js\";\nexport default function contains(parent, child) {\n var rootNode = child.getRootNode && child.getRootNode(); // First, attempt with faster native method\n\n if (parent.contains(child)) {\n return true;\n } // then fallback to custom implementation with Shadow DOM support\n else if (rootNode && isShadowRoot(rootNode)) {\n var next = child;\n\n do {\n if (next && parent.isSameNode(next)) {\n return true;\n } // $FlowFixMe[prop-missing]: need a better way to handle this...\n\n\n next = next.parentNode || next.host;\n } while (next);\n } // Give up, the result is false\n\n\n return false;\n}","import getWindow from \"./getWindow.js\";\nexport default function getComputedStyle(element) {\n return getWindow(element).getComputedStyle(element);\n}","import getNodeName from \"./getNodeName.js\";\nexport default function isTableElement(element) {\n return ['table', 'td', 'th'].indexOf(getNodeName(element)) >= 0;\n}","import { isElement } from \"./instanceOf.js\";\nexport default function getDocumentElement(element) {\n // $FlowFixMe[incompatible-return]: assume body is always available\n return ((isElement(element) ? element.ownerDocument : // $FlowFixMe[prop-missing]\n element.document) || window.document).documentElement;\n}","import getNodeName from \"./getNodeName.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport { isShadowRoot } from \"./instanceOf.js\";\nexport default function getParentNode(element) {\n if (getNodeName(element) === 'html') {\n return element;\n }\n\n return (// this is a quicker (but less type safe) way to save quite some bytes from the bundle\n // $FlowFixMe[incompatible-return]\n // $FlowFixMe[prop-missing]\n element.assignedSlot || // step into the shadow DOM of the parent of a slotted node\n element.parentNode || ( // DOM Element detected\n isShadowRoot(element) ? element.host : null) || // ShadowRoot detected\n // $FlowFixMe[incompatible-call]: HTMLElement is a Node\n getDocumentElement(element) // fallback\n\n );\n}","import getWindow from \"./getWindow.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport { isHTMLElement, isShadowRoot } from \"./instanceOf.js\";\nimport isTableElement from \"./isTableElement.js\";\nimport getParentNode from \"./getParentNode.js\";\nimport getUAString from \"../utils/userAgent.js\";\n\nfunction getTrueOffsetParent(element) {\n if (!isHTMLElement(element) || // https://github.com/popperjs/popper-core/issues/837\n getComputedStyle(element).position === 'fixed') {\n return null;\n }\n\n return element.offsetParent;\n} // `.offsetParent` reports `null` for fixed elements, while absolute elements\n// return the containing block\n\n\nfunction getContainingBlock(element) {\n var isFirefox = /firefox/i.test(getUAString());\n var isIE = /Trident/i.test(getUAString());\n\n if (isIE && isHTMLElement(element)) {\n // In IE 9, 10 and 11 fixed elements containing block is always established by the viewport\n var elementCss = getComputedStyle(element);\n\n if (elementCss.position === 'fixed') {\n return null;\n }\n }\n\n var currentNode = getParentNode(element);\n\n if (isShadowRoot(currentNode)) {\n currentNode = currentNode.host;\n }\n\n while (isHTMLElement(currentNode) && ['html', 'body'].indexOf(getNodeName(currentNode)) < 0) {\n var css = getComputedStyle(currentNode); // This is non-exhaustive but covers the most common CSS properties that\n // create a containing block.\n // https://developer.mozilla.org/en-US/docs/Web/CSS/Containing_block#identifying_the_containing_block\n\n if (css.transform !== 'none' || css.perspective !== 'none' || css.contain === 'paint' || ['transform', 'perspective'].indexOf(css.willChange) !== -1 || isFirefox && css.willChange === 'filter' || isFirefox && css.filter && css.filter !== 'none') {\n return currentNode;\n } else {\n currentNode = currentNode.parentNode;\n }\n }\n\n return null;\n} // Gets the closest ancestor positioned element. Handles some edge cases,\n// such as table ancestors and cross browser bugs.\n\n\nexport default function getOffsetParent(element) {\n var window = getWindow(element);\n var offsetParent = getTrueOffsetParent(element);\n\n while (offsetParent && isTableElement(offsetParent) && getComputedStyle(offsetParent).position === 'static') {\n offsetParent = getTrueOffsetParent(offsetParent);\n }\n\n if (offsetParent && (getNodeName(offsetParent) === 'html' || getNodeName(offsetParent) === 'body' && getComputedStyle(offsetParent).position === 'static')) {\n return window;\n }\n\n return offsetParent || getContainingBlock(element) || window;\n}","export default function getMainAxisFromPlacement(placement) {\n return ['top', 'bottom'].indexOf(placement) >= 0 ? 'x' : 'y';\n}","import { max as mathMax, min as mathMin } from \"./math.js\";\nexport function within(min, value, max) {\n return mathMax(min, mathMin(value, max));\n}\nexport function withinMaxClamp(min, value, max) {\n var v = within(min, value, max);\n return v > max ? max : v;\n}","import getFreshSideObject from \"./getFreshSideObject.js\";\nexport default function mergePaddingObject(paddingObject) {\n return Object.assign({}, getFreshSideObject(), paddingObject);\n}","export default function getFreshSideObject() {\n return {\n top: 0,\n right: 0,\n bottom: 0,\n left: 0\n };\n}","export default function expandToHashMap(value, keys) {\n return keys.reduce(function (hashMap, key) {\n hashMap[key] = value;\n return hashMap;\n }, {});\n}","import getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getLayoutRect from \"../dom-utils/getLayoutRect.js\";\nimport contains from \"../dom-utils/contains.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport getMainAxisFromPlacement from \"../utils/getMainAxisFromPlacement.js\";\nimport { within } from \"../utils/within.js\";\nimport mergePaddingObject from \"../utils/mergePaddingObject.js\";\nimport expandToHashMap from \"../utils/expandToHashMap.js\";\nimport { left, right, basePlacements, top, bottom } from \"../enums.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar toPaddingObject = function toPaddingObject(padding, state) {\n padding = typeof padding === 'function' ? padding(Object.assign({}, state.rects, {\n placement: state.placement\n })) : padding;\n return mergePaddingObject(typeof padding !== 'number' ? padding : expandToHashMap(padding, basePlacements));\n};\n\nfunction arrow(_ref) {\n var _state$modifiersData$;\n\n var state = _ref.state,\n name = _ref.name,\n options = _ref.options;\n var arrowElement = state.elements.arrow;\n var popperOffsets = state.modifiersData.popperOffsets;\n var basePlacement = getBasePlacement(state.placement);\n var axis = getMainAxisFromPlacement(basePlacement);\n var isVertical = [left, right].indexOf(basePlacement) >= 0;\n var len = isVertical ? 'height' : 'width';\n\n if (!arrowElement || !popperOffsets) {\n return;\n }\n\n var paddingObject = toPaddingObject(options.padding, state);\n var arrowRect = getLayoutRect(arrowElement);\n var minProp = axis === 'y' ? top : left;\n var maxProp = axis === 'y' ? bottom : right;\n var endDiff = state.rects.reference[len] + state.rects.reference[axis] - popperOffsets[axis] - state.rects.popper[len];\n var startDiff = popperOffsets[axis] - state.rects.reference[axis];\n var arrowOffsetParent = getOffsetParent(arrowElement);\n var clientSize = arrowOffsetParent ? axis === 'y' ? arrowOffsetParent.clientHeight || 0 : arrowOffsetParent.clientWidth || 0 : 0;\n var centerToReference = endDiff / 2 - startDiff / 2; // Make sure the arrow doesn't overflow the popper if the center point is\n // outside of the popper bounds\n\n var min = paddingObject[minProp];\n var max = clientSize - arrowRect[len] - paddingObject[maxProp];\n var center = clientSize / 2 - arrowRect[len] / 2 + centerToReference;\n var offset = within(min, center, max); // Prevents breaking syntax highlighting...\n\n var axisProp = axis;\n state.modifiersData[name] = (_state$modifiersData$ = {}, _state$modifiersData$[axisProp] = offset, _state$modifiersData$.centerOffset = offset - center, _state$modifiersData$);\n}\n\nfunction effect(_ref2) {\n var state = _ref2.state,\n options = _ref2.options;\n var _options$element = options.element,\n arrowElement = _options$element === void 0 ? '[data-popper-arrow]' : _options$element;\n\n if (arrowElement == null) {\n return;\n } // CSS selector\n\n\n if (typeof arrowElement === 'string') {\n arrowElement = state.elements.popper.querySelector(arrowElement);\n\n if (!arrowElement) {\n return;\n }\n }\n\n if (!contains(state.elements.popper, arrowElement)) {\n return;\n }\n\n state.elements.arrow = arrowElement;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'arrow',\n enabled: true,\n phase: 'main',\n fn: arrow,\n effect: effect,\n requires: ['popperOffsets'],\n requiresIfExists: ['preventOverflow']\n};","export default function getVariation(placement) {\n return placement.split('-')[1];\n}","import { top, left, right, bottom, end } from \"../enums.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport getWindow from \"../dom-utils/getWindow.js\";\nimport getDocumentElement from \"../dom-utils/getDocumentElement.js\";\nimport getComputedStyle from \"../dom-utils/getComputedStyle.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getVariation from \"../utils/getVariation.js\";\nimport { round } from \"../utils/math.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar unsetSides = {\n top: 'auto',\n right: 'auto',\n bottom: 'auto',\n left: 'auto'\n}; // Round the offsets to the nearest suitable subpixel based on the DPR.\n// Zooming can change the DPR, but it seems to report a value that will\n// cleanly divide the values into the appropriate subpixels.\n\nfunction roundOffsetsByDPR(_ref, win) {\n var x = _ref.x,\n y = _ref.y;\n var dpr = win.devicePixelRatio || 1;\n return {\n x: round(x * dpr) / dpr || 0,\n y: round(y * dpr) / dpr || 0\n };\n}\n\nexport function mapToStyles(_ref2) {\n var _Object$assign2;\n\n var popper = _ref2.popper,\n popperRect = _ref2.popperRect,\n placement = _ref2.placement,\n variation = _ref2.variation,\n offsets = _ref2.offsets,\n position = _ref2.position,\n gpuAcceleration = _ref2.gpuAcceleration,\n adaptive = _ref2.adaptive,\n roundOffsets = _ref2.roundOffsets,\n isFixed = _ref2.isFixed;\n var _offsets$x = offsets.x,\n x = _offsets$x === void 0 ? 0 : _offsets$x,\n _offsets$y = offsets.y,\n y = _offsets$y === void 0 ? 0 : _offsets$y;\n\n var _ref3 = typeof roundOffsets === 'function' ? roundOffsets({\n x: x,\n y: y\n }) : {\n x: x,\n y: y\n };\n\n x = _ref3.x;\n y = _ref3.y;\n var hasX = offsets.hasOwnProperty('x');\n var hasY = offsets.hasOwnProperty('y');\n var sideX = left;\n var sideY = top;\n var win = window;\n\n if (adaptive) {\n var offsetParent = getOffsetParent(popper);\n var heightProp = 'clientHeight';\n var widthProp = 'clientWidth';\n\n if (offsetParent === getWindow(popper)) {\n offsetParent = getDocumentElement(popper);\n\n if (getComputedStyle(offsetParent).position !== 'static' && position === 'absolute') {\n heightProp = 'scrollHeight';\n widthProp = 'scrollWidth';\n }\n } // $FlowFixMe[incompatible-cast]: force type refinement, we compare offsetParent with window above, but Flow doesn't detect it\n\n\n offsetParent = offsetParent;\n\n if (placement === top || (placement === left || placement === right) && variation === end) {\n sideY = bottom;\n var offsetY = isFixed && offsetParent === win && win.visualViewport ? win.visualViewport.height : // $FlowFixMe[prop-missing]\n offsetParent[heightProp];\n y -= offsetY - popperRect.height;\n y *= gpuAcceleration ? 1 : -1;\n }\n\n if (placement === left || (placement === top || placement === bottom) && variation === end) {\n sideX = right;\n var offsetX = isFixed && offsetParent === win && win.visualViewport ? win.visualViewport.width : // $FlowFixMe[prop-missing]\n offsetParent[widthProp];\n x -= offsetX - popperRect.width;\n x *= gpuAcceleration ? 1 : -1;\n }\n }\n\n var commonStyles = Object.assign({\n position: position\n }, adaptive && unsetSides);\n\n var _ref4 = roundOffsets === true ? roundOffsetsByDPR({\n x: x,\n y: y\n }, getWindow(popper)) : {\n x: x,\n y: y\n };\n\n x = _ref4.x;\n y = _ref4.y;\n\n if (gpuAcceleration) {\n var _Object$assign;\n\n return Object.assign({}, commonStyles, (_Object$assign = {}, _Object$assign[sideY] = hasY ? '0' : '', _Object$assign[sideX] = hasX ? '0' : '', _Object$assign.transform = (win.devicePixelRatio || 1) <= 1 ? \"translate(\" + x + \"px, \" + y + \"px)\" : \"translate3d(\" + x + \"px, \" + y + \"px, 0)\", _Object$assign));\n }\n\n return Object.assign({}, commonStyles, (_Object$assign2 = {}, _Object$assign2[sideY] = hasY ? y + \"px\" : '', _Object$assign2[sideX] = hasX ? x + \"px\" : '', _Object$assign2.transform = '', _Object$assign2));\n}\n\nfunction computeStyles(_ref5) {\n var state = _ref5.state,\n options = _ref5.options;\n var _options$gpuAccelerat = options.gpuAcceleration,\n gpuAcceleration = _options$gpuAccelerat === void 0 ? true : _options$gpuAccelerat,\n _options$adaptive = options.adaptive,\n adaptive = _options$adaptive === void 0 ? true : _options$adaptive,\n _options$roundOffsets = options.roundOffsets,\n roundOffsets = _options$roundOffsets === void 0 ? true : _options$roundOffsets;\n var commonStyles = {\n placement: getBasePlacement(state.placement),\n variation: getVariation(state.placement),\n popper: state.elements.popper,\n popperRect: state.rects.popper,\n gpuAcceleration: gpuAcceleration,\n isFixed: state.options.strategy === 'fixed'\n };\n\n if (state.modifiersData.popperOffsets != null) {\n state.styles.popper = Object.assign({}, state.styles.popper, mapToStyles(Object.assign({}, commonStyles, {\n offsets: state.modifiersData.popperOffsets,\n position: state.options.strategy,\n adaptive: adaptive,\n roundOffsets: roundOffsets\n })));\n }\n\n if (state.modifiersData.arrow != null) {\n state.styles.arrow = Object.assign({}, state.styles.arrow, mapToStyles(Object.assign({}, commonStyles, {\n offsets: state.modifiersData.arrow,\n position: 'absolute',\n adaptive: false,\n roundOffsets: roundOffsets\n })));\n }\n\n state.attributes.popper = Object.assign({}, state.attributes.popper, {\n 'data-popper-placement': state.placement\n });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'computeStyles',\n enabled: true,\n phase: 'beforeWrite',\n fn: computeStyles,\n data: {}\n};","import getWindow from \"../dom-utils/getWindow.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar passive = {\n passive: true\n};\n\nfunction effect(_ref) {\n var state = _ref.state,\n instance = _ref.instance,\n options = _ref.options;\n var _options$scroll = options.scroll,\n scroll = _options$scroll === void 0 ? true : _options$scroll,\n _options$resize = options.resize,\n resize = _options$resize === void 0 ? true : _options$resize;\n var window = getWindow(state.elements.popper);\n var scrollParents = [].concat(state.scrollParents.reference, state.scrollParents.popper);\n\n if (scroll) {\n scrollParents.forEach(function (scrollParent) {\n scrollParent.addEventListener('scroll', instance.update, passive);\n });\n }\n\n if (resize) {\n window.addEventListener('resize', instance.update, passive);\n }\n\n return function () {\n if (scroll) {\n scrollParents.forEach(function (scrollParent) {\n scrollParent.removeEventListener('scroll', instance.update, passive);\n });\n }\n\n if (resize) {\n window.removeEventListener('resize', instance.update, passive);\n }\n };\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'eventListeners',\n enabled: true,\n phase: 'write',\n fn: function fn() {},\n effect: effect,\n data: {}\n};","var hash = {\n left: 'right',\n right: 'left',\n bottom: 'top',\n top: 'bottom'\n};\nexport default function getOppositePlacement(placement) {\n return placement.replace(/left|right|bottom|top/g, function (matched) {\n return hash[matched];\n });\n}","var hash = {\n start: 'end',\n end: 'start'\n};\nexport default function getOppositeVariationPlacement(placement) {\n return placement.replace(/start|end/g, function (matched) {\n return hash[matched];\n });\n}","import getWindow from \"./getWindow.js\";\nexport default function getWindowScroll(node) {\n var win = getWindow(node);\n var scrollLeft = win.pageXOffset;\n var scrollTop = win.pageYOffset;\n return {\n scrollLeft: scrollLeft,\n scrollTop: scrollTop\n };\n}","import getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getWindowScroll from \"./getWindowScroll.js\";\nexport default function getWindowScrollBarX(element) {\n // If has a CSS width greater than the viewport, then this will be\n // incorrect for RTL.\n // Popper 1 is broken in this case and never had a bug report so let's assume\n // it's not an issue. I don't think anyone ever specifies width on \n // anyway.\n // Browsers where the left scrollbar doesn't cause an issue report `0` for\n // this (e.g. Edge 2019, IE11, Safari)\n return getBoundingClientRect(getDocumentElement(element)).left + getWindowScroll(element).scrollLeft;\n}","import getComputedStyle from \"./getComputedStyle.js\";\nexport default function isScrollParent(element) {\n // Firefox wants us to check `-x` and `-y` variations as well\n var _getComputedStyle = getComputedStyle(element),\n overflow = _getComputedStyle.overflow,\n overflowX = _getComputedStyle.overflowX,\n overflowY = _getComputedStyle.overflowY;\n\n return /auto|scroll|overlay|hidden/.test(overflow + overflowY + overflowX);\n}","import getParentNode from \"./getParentNode.js\";\nimport isScrollParent from \"./isScrollParent.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nexport default function getScrollParent(node) {\n if (['html', 'body', '#document'].indexOf(getNodeName(node)) >= 0) {\n // $FlowFixMe[incompatible-return]: assume body is always available\n return node.ownerDocument.body;\n }\n\n if (isHTMLElement(node) && isScrollParent(node)) {\n return node;\n }\n\n return getScrollParent(getParentNode(node));\n}","import getScrollParent from \"./getScrollParent.js\";\nimport getParentNode from \"./getParentNode.js\";\nimport getWindow from \"./getWindow.js\";\nimport isScrollParent from \"./isScrollParent.js\";\n/*\ngiven a DOM element, return the list of all scroll parents, up the list of ancesors\nuntil we get to the top window object. This list is what we attach scroll listeners\nto, because if any of these parent elements scroll, we'll need to re-calculate the\nreference element's position.\n*/\n\nexport default function listScrollParents(element, list) {\n var _element$ownerDocumen;\n\n if (list === void 0) {\n list = [];\n }\n\n var scrollParent = getScrollParent(element);\n var isBody = scrollParent === ((_element$ownerDocumen = element.ownerDocument) == null ? void 0 : _element$ownerDocumen.body);\n var win = getWindow(scrollParent);\n var target = isBody ? [win].concat(win.visualViewport || [], isScrollParent(scrollParent) ? scrollParent : []) : scrollParent;\n var updatedList = list.concat(target);\n return isBody ? updatedList : // $FlowFixMe[incompatible-call]: isBody tells us target will be an HTMLElement here\n updatedList.concat(listScrollParents(getParentNode(target)));\n}","export default function rectToClientRect(rect) {\n return Object.assign({}, rect, {\n left: rect.x,\n top: rect.y,\n right: rect.x + rect.width,\n bottom: rect.y + rect.height\n });\n}","import { viewport } from \"../enums.js\";\nimport getViewportRect from \"./getViewportRect.js\";\nimport getDocumentRect from \"./getDocumentRect.js\";\nimport listScrollParents from \"./listScrollParents.js\";\nimport getOffsetParent from \"./getOffsetParent.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport { isElement, isHTMLElement } from \"./instanceOf.js\";\nimport getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getParentNode from \"./getParentNode.js\";\nimport contains from \"./contains.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport rectToClientRect from \"../utils/rectToClientRect.js\";\nimport { max, min } from \"../utils/math.js\";\n\nfunction getInnerBoundingClientRect(element, strategy) {\n var rect = getBoundingClientRect(element, false, strategy === 'fixed');\n rect.top = rect.top + element.clientTop;\n rect.left = rect.left + element.clientLeft;\n rect.bottom = rect.top + element.clientHeight;\n rect.right = rect.left + element.clientWidth;\n rect.width = element.clientWidth;\n rect.height = element.clientHeight;\n rect.x = rect.left;\n rect.y = rect.top;\n return rect;\n}\n\nfunction getClientRectFromMixedType(element, clippingParent, strategy) {\n return clippingParent === viewport ? rectToClientRect(getViewportRect(element, strategy)) : isElement(clippingParent) ? getInnerBoundingClientRect(clippingParent, strategy) : rectToClientRect(getDocumentRect(getDocumentElement(element)));\n} // A \"clipping parent\" is an overflowable container with the characteristic of\n// clipping (or hiding) overflowing elements with a position different from\n// `initial`\n\n\nfunction getClippingParents(element) {\n var clippingParents = listScrollParents(getParentNode(element));\n var canEscapeClipping = ['absolute', 'fixed'].indexOf(getComputedStyle(element).position) >= 0;\n var clipperElement = canEscapeClipping && isHTMLElement(element) ? getOffsetParent(element) : element;\n\n if (!isElement(clipperElement)) {\n return [];\n } // $FlowFixMe[incompatible-return]: https://github.com/facebook/flow/issues/1414\n\n\n return clippingParents.filter(function (clippingParent) {\n return isElement(clippingParent) && contains(clippingParent, clipperElement) && getNodeName(clippingParent) !== 'body';\n });\n} // Gets the maximum area that the element is visible in due to any number of\n// clipping parents\n\n\nexport default function getClippingRect(element, boundary, rootBoundary, strategy) {\n var mainClippingParents = boundary === 'clippingParents' ? getClippingParents(element) : [].concat(boundary);\n var clippingParents = [].concat(mainClippingParents, [rootBoundary]);\n var firstClippingParent = clippingParents[0];\n var clippingRect = clippingParents.reduce(function (accRect, clippingParent) {\n var rect = getClientRectFromMixedType(element, clippingParent, strategy);\n accRect.top = max(rect.top, accRect.top);\n accRect.right = min(rect.right, accRect.right);\n accRect.bottom = min(rect.bottom, accRect.bottom);\n accRect.left = max(rect.left, accRect.left);\n return accRect;\n }, getClientRectFromMixedType(element, firstClippingParent, strategy));\n clippingRect.width = clippingRect.right - clippingRect.left;\n clippingRect.height = clippingRect.bottom - clippingRect.top;\n clippingRect.x = clippingRect.left;\n clippingRect.y = clippingRect.top;\n return clippingRect;\n}","import getWindow from \"./getWindow.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nimport isLayoutViewport from \"./isLayoutViewport.js\";\nexport default function getViewportRect(element, strategy) {\n var win = getWindow(element);\n var html = getDocumentElement(element);\n var visualViewport = win.visualViewport;\n var width = html.clientWidth;\n var height = html.clientHeight;\n var x = 0;\n var y = 0;\n\n if (visualViewport) {\n width = visualViewport.width;\n height = visualViewport.height;\n var layoutViewport = isLayoutViewport();\n\n if (layoutViewport || !layoutViewport && strategy === 'fixed') {\n x = visualViewport.offsetLeft;\n y = visualViewport.offsetTop;\n }\n }\n\n return {\n width: width,\n height: height,\n x: x + getWindowScrollBarX(element),\n y: y\n };\n}","import getDocumentElement from \"./getDocumentElement.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nimport getWindowScroll from \"./getWindowScroll.js\";\nimport { max } from \"../utils/math.js\"; // Gets the entire size of the scrollable document area, even extending outside\n// of the `` and `` rect bounds if horizontally scrollable\n\nexport default function getDocumentRect(element) {\n var _element$ownerDocumen;\n\n var html = getDocumentElement(element);\n var winScroll = getWindowScroll(element);\n var body = (_element$ownerDocumen = element.ownerDocument) == null ? void 0 : _element$ownerDocumen.body;\n var width = max(html.scrollWidth, html.clientWidth, body ? body.scrollWidth : 0, body ? body.clientWidth : 0);\n var height = max(html.scrollHeight, html.clientHeight, body ? body.scrollHeight : 0, body ? body.clientHeight : 0);\n var x = -winScroll.scrollLeft + getWindowScrollBarX(element);\n var y = -winScroll.scrollTop;\n\n if (getComputedStyle(body || html).direction === 'rtl') {\n x += max(html.clientWidth, body ? body.clientWidth : 0) - width;\n }\n\n return {\n width: width,\n height: height,\n x: x,\n y: y\n };\n}","import getBasePlacement from \"./getBasePlacement.js\";\nimport getVariation from \"./getVariation.js\";\nimport getMainAxisFromPlacement from \"./getMainAxisFromPlacement.js\";\nimport { top, right, bottom, left, start, end } from \"../enums.js\";\nexport default function computeOffsets(_ref) {\n var reference = _ref.reference,\n element = _ref.element,\n placement = _ref.placement;\n var basePlacement = placement ? getBasePlacement(placement) : null;\n var variation = placement ? getVariation(placement) : null;\n var commonX = reference.x + reference.width / 2 - element.width / 2;\n var commonY = reference.y + reference.height / 2 - element.height / 2;\n var offsets;\n\n switch (basePlacement) {\n case top:\n offsets = {\n x: commonX,\n y: reference.y - element.height\n };\n break;\n\n case bottom:\n offsets = {\n x: commonX,\n y: reference.y + reference.height\n };\n break;\n\n case right:\n offsets = {\n x: reference.x + reference.width,\n y: commonY\n };\n break;\n\n case left:\n offsets = {\n x: reference.x - element.width,\n y: commonY\n };\n break;\n\n default:\n offsets = {\n x: reference.x,\n y: reference.y\n };\n }\n\n var mainAxis = basePlacement ? getMainAxisFromPlacement(basePlacement) : null;\n\n if (mainAxis != null) {\n var len = mainAxis === 'y' ? 'height' : 'width';\n\n switch (variation) {\n case start:\n offsets[mainAxis] = offsets[mainAxis] - (reference[len] / 2 - element[len] / 2);\n break;\n\n case end:\n offsets[mainAxis] = offsets[mainAxis] + (reference[len] / 2 - element[len] / 2);\n break;\n\n default:\n }\n }\n\n return offsets;\n}","import getClippingRect from \"../dom-utils/getClippingRect.js\";\nimport getDocumentElement from \"../dom-utils/getDocumentElement.js\";\nimport getBoundingClientRect from \"../dom-utils/getBoundingClientRect.js\";\nimport computeOffsets from \"./computeOffsets.js\";\nimport rectToClientRect from \"./rectToClientRect.js\";\nimport { clippingParents, reference, popper, bottom, top, right, basePlacements, viewport } from \"../enums.js\";\nimport { isElement } from \"../dom-utils/instanceOf.js\";\nimport mergePaddingObject from \"./mergePaddingObject.js\";\nimport expandToHashMap from \"./expandToHashMap.js\"; // eslint-disable-next-line import/no-unused-modules\n\nexport default function detectOverflow(state, options) {\n if (options === void 0) {\n options = {};\n }\n\n var _options = options,\n _options$placement = _options.placement,\n placement = _options$placement === void 0 ? state.placement : _options$placement,\n _options$strategy = _options.strategy,\n strategy = _options$strategy === void 0 ? state.strategy : _options$strategy,\n _options$boundary = _options.boundary,\n boundary = _options$boundary === void 0 ? clippingParents : _options$boundary,\n _options$rootBoundary = _options.rootBoundary,\n rootBoundary = _options$rootBoundary === void 0 ? viewport : _options$rootBoundary,\n _options$elementConte = _options.elementContext,\n elementContext = _options$elementConte === void 0 ? popper : _options$elementConte,\n _options$altBoundary = _options.altBoundary,\n altBoundary = _options$altBoundary === void 0 ? false : _options$altBoundary,\n _options$padding = _options.padding,\n padding = _options$padding === void 0 ? 0 : _options$padding;\n var paddingObject = mergePaddingObject(typeof padding !== 'number' ? padding : expandToHashMap(padding, basePlacements));\n var altContext = elementContext === popper ? reference : popper;\n var popperRect = state.rects.popper;\n var element = state.elements[altBoundary ? altContext : elementContext];\n var clippingClientRect = getClippingRect(isElement(element) ? element : element.contextElement || getDocumentElement(state.elements.popper), boundary, rootBoundary, strategy);\n var referenceClientRect = getBoundingClientRect(state.elements.reference);\n var popperOffsets = computeOffsets({\n reference: referenceClientRect,\n element: popperRect,\n strategy: 'absolute',\n placement: placement\n });\n var popperClientRect = rectToClientRect(Object.assign({}, popperRect, popperOffsets));\n var elementClientRect = elementContext === popper ? popperClientRect : referenceClientRect; // positive = overflowing the clipping rect\n // 0 or negative = within the clipping rect\n\n var overflowOffsets = {\n top: clippingClientRect.top - elementClientRect.top + paddingObject.top,\n bottom: elementClientRect.bottom - clippingClientRect.bottom + paddingObject.bottom,\n left: clippingClientRect.left - elementClientRect.left + paddingObject.left,\n right: elementClientRect.right - clippingClientRect.right + paddingObject.right\n };\n var offsetData = state.modifiersData.offset; // Offsets can be applied only to the popper element\n\n if (elementContext === popper && offsetData) {\n var offset = offsetData[placement];\n Object.keys(overflowOffsets).forEach(function (key) {\n var multiply = [right, bottom].indexOf(key) >= 0 ? 1 : -1;\n var axis = [top, bottom].indexOf(key) >= 0 ? 'y' : 'x';\n overflowOffsets[key] += offset[axis] * multiply;\n });\n }\n\n return overflowOffsets;\n}","import getVariation from \"./getVariation.js\";\nimport { variationPlacements, basePlacements, placements as allPlacements } from \"../enums.js\";\nimport detectOverflow from \"./detectOverflow.js\";\nimport getBasePlacement from \"./getBasePlacement.js\";\nexport default function computeAutoPlacement(state, options) {\n if (options === void 0) {\n options = {};\n }\n\n var _options = options,\n placement = _options.placement,\n boundary = _options.boundary,\n rootBoundary = _options.rootBoundary,\n padding = _options.padding,\n flipVariations = _options.flipVariations,\n _options$allowedAutoP = _options.allowedAutoPlacements,\n allowedAutoPlacements = _options$allowedAutoP === void 0 ? allPlacements : _options$allowedAutoP;\n var variation = getVariation(placement);\n var placements = variation ? flipVariations ? variationPlacements : variationPlacements.filter(function (placement) {\n return getVariation(placement) === variation;\n }) : basePlacements;\n var allowedPlacements = placements.filter(function (placement) {\n return allowedAutoPlacements.indexOf(placement) >= 0;\n });\n\n if (allowedPlacements.length === 0) {\n allowedPlacements = placements;\n } // $FlowFixMe[incompatible-type]: Flow seems to have problems with two array unions...\n\n\n var overflows = allowedPlacements.reduce(function (acc, placement) {\n acc[placement] = detectOverflow(state, {\n placement: placement,\n boundary: boundary,\n rootBoundary: rootBoundary,\n padding: padding\n })[getBasePlacement(placement)];\n return acc;\n }, {});\n return Object.keys(overflows).sort(function (a, b) {\n return overflows[a] - overflows[b];\n });\n}","import getOppositePlacement from \"../utils/getOppositePlacement.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getOppositeVariationPlacement from \"../utils/getOppositeVariationPlacement.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\nimport computeAutoPlacement from \"../utils/computeAutoPlacement.js\";\nimport { bottom, top, start, right, left, auto } from \"../enums.js\";\nimport getVariation from \"../utils/getVariation.js\"; // eslint-disable-next-line import/no-unused-modules\n\nfunction getExpandedFallbackPlacements(placement) {\n if (getBasePlacement(placement) === auto) {\n return [];\n }\n\n var oppositePlacement = getOppositePlacement(placement);\n return [getOppositeVariationPlacement(placement), oppositePlacement, getOppositeVariationPlacement(oppositePlacement)];\n}\n\nfunction flip(_ref) {\n var state = _ref.state,\n options = _ref.options,\n name = _ref.name;\n\n if (state.modifiersData[name]._skip) {\n return;\n }\n\n var _options$mainAxis = options.mainAxis,\n checkMainAxis = _options$mainAxis === void 0 ? true : _options$mainAxis,\n _options$altAxis = options.altAxis,\n checkAltAxis = _options$altAxis === void 0 ? true : _options$altAxis,\n specifiedFallbackPlacements = options.fallbackPlacements,\n padding = options.padding,\n boundary = options.boundary,\n rootBoundary = options.rootBoundary,\n altBoundary = options.altBoundary,\n _options$flipVariatio = options.flipVariations,\n flipVariations = _options$flipVariatio === void 0 ? true : _options$flipVariatio,\n allowedAutoPlacements = options.allowedAutoPlacements;\n var preferredPlacement = state.options.placement;\n var basePlacement = getBasePlacement(preferredPlacement);\n var isBasePlacement = basePlacement === preferredPlacement;\n var fallbackPlacements = specifiedFallbackPlacements || (isBasePlacement || !flipVariations ? [getOppositePlacement(preferredPlacement)] : getExpandedFallbackPlacements(preferredPlacement));\n var placements = [preferredPlacement].concat(fallbackPlacements).reduce(function (acc, placement) {\n return acc.concat(getBasePlacement(placement) === auto ? computeAutoPlacement(state, {\n placement: placement,\n boundary: boundary,\n rootBoundary: rootBoundary,\n padding: padding,\n flipVariations: flipVariations,\n allowedAutoPlacements: allowedAutoPlacements\n }) : placement);\n }, []);\n var referenceRect = state.rects.reference;\n var popperRect = state.rects.popper;\n var checksMap = new Map();\n var makeFallbackChecks = true;\n var firstFittingPlacement = placements[0];\n\n for (var i = 0; i < placements.length; i++) {\n var placement = placements[i];\n\n var _basePlacement = getBasePlacement(placement);\n\n var isStartVariation = getVariation(placement) === start;\n var isVertical = [top, bottom].indexOf(_basePlacement) >= 0;\n var len = isVertical ? 'width' : 'height';\n var overflow = detectOverflow(state, {\n placement: placement,\n boundary: boundary,\n rootBoundary: rootBoundary,\n altBoundary: altBoundary,\n padding: padding\n });\n var mainVariationSide = isVertical ? isStartVariation ? right : left : isStartVariation ? bottom : top;\n\n if (referenceRect[len] > popperRect[len]) {\n mainVariationSide = getOppositePlacement(mainVariationSide);\n }\n\n var altVariationSide = getOppositePlacement(mainVariationSide);\n var checks = [];\n\n if (checkMainAxis) {\n checks.push(overflow[_basePlacement] <= 0);\n }\n\n if (checkAltAxis) {\n checks.push(overflow[mainVariationSide] <= 0, overflow[altVariationSide] <= 0);\n }\n\n if (checks.every(function (check) {\n return check;\n })) {\n firstFittingPlacement = placement;\n makeFallbackChecks = false;\n break;\n }\n\n checksMap.set(placement, checks);\n }\n\n if (makeFallbackChecks) {\n // `2` may be desired in some cases – research later\n var numberOfChecks = flipVariations ? 3 : 1;\n\n var _loop = function _loop(_i) {\n var fittingPlacement = placements.find(function (placement) {\n var checks = checksMap.get(placement);\n\n if (checks) {\n return checks.slice(0, _i).every(function (check) {\n return check;\n });\n }\n });\n\n if (fittingPlacement) {\n firstFittingPlacement = fittingPlacement;\n return \"break\";\n }\n };\n\n for (var _i = numberOfChecks; _i > 0; _i--) {\n var _ret = _loop(_i);\n\n if (_ret === \"break\") break;\n }\n }\n\n if (state.placement !== firstFittingPlacement) {\n state.modifiersData[name]._skip = true;\n state.placement = firstFittingPlacement;\n state.reset = true;\n }\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'flip',\n enabled: true,\n phase: 'main',\n fn: flip,\n requiresIfExists: ['offset'],\n data: {\n _skip: false\n }\n};","import { top, bottom, left, right } from \"../enums.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\n\nfunction getSideOffsets(overflow, rect, preventedOffsets) {\n if (preventedOffsets === void 0) {\n preventedOffsets = {\n x: 0,\n y: 0\n };\n }\n\n return {\n top: overflow.top - rect.height - preventedOffsets.y,\n right: overflow.right - rect.width + preventedOffsets.x,\n bottom: overflow.bottom - rect.height + preventedOffsets.y,\n left: overflow.left - rect.width - preventedOffsets.x\n };\n}\n\nfunction isAnySideFullyClipped(overflow) {\n return [top, right, bottom, left].some(function (side) {\n return overflow[side] >= 0;\n });\n}\n\nfunction hide(_ref) {\n var state = _ref.state,\n name = _ref.name;\n var referenceRect = state.rects.reference;\n var popperRect = state.rects.popper;\n var preventedOffsets = state.modifiersData.preventOverflow;\n var referenceOverflow = detectOverflow(state, {\n elementContext: 'reference'\n });\n var popperAltOverflow = detectOverflow(state, {\n altBoundary: true\n });\n var referenceClippingOffsets = getSideOffsets(referenceOverflow, referenceRect);\n var popperEscapeOffsets = getSideOffsets(popperAltOverflow, popperRect, preventedOffsets);\n var isReferenceHidden = isAnySideFullyClipped(referenceClippingOffsets);\n var hasPopperEscaped = isAnySideFullyClipped(popperEscapeOffsets);\n state.modifiersData[name] = {\n referenceClippingOffsets: referenceClippingOffsets,\n popperEscapeOffsets: popperEscapeOffsets,\n isReferenceHidden: isReferenceHidden,\n hasPopperEscaped: hasPopperEscaped\n };\n state.attributes.popper = Object.assign({}, state.attributes.popper, {\n 'data-popper-reference-hidden': isReferenceHidden,\n 'data-popper-escaped': hasPopperEscaped\n });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'hide',\n enabled: true,\n phase: 'main',\n requiresIfExists: ['preventOverflow'],\n fn: hide\n};","import getBasePlacement from \"../utils/getBasePlacement.js\";\nimport { top, left, right, placements } from \"../enums.js\"; // eslint-disable-next-line import/no-unused-modules\n\nexport function distanceAndSkiddingToXY(placement, rects, offset) {\n var basePlacement = getBasePlacement(placement);\n var invertDistance = [left, top].indexOf(basePlacement) >= 0 ? -1 : 1;\n\n var _ref = typeof offset === 'function' ? offset(Object.assign({}, rects, {\n placement: placement\n })) : offset,\n skidding = _ref[0],\n distance = _ref[1];\n\n skidding = skidding || 0;\n distance = (distance || 0) * invertDistance;\n return [left, right].indexOf(basePlacement) >= 0 ? {\n x: distance,\n y: skidding\n } : {\n x: skidding,\n y: distance\n };\n}\n\nfunction offset(_ref2) {\n var state = _ref2.state,\n options = _ref2.options,\n name = _ref2.name;\n var _options$offset = options.offset,\n offset = _options$offset === void 0 ? [0, 0] : _options$offset;\n var data = placements.reduce(function (acc, placement) {\n acc[placement] = distanceAndSkiddingToXY(placement, state.rects, offset);\n return acc;\n }, {});\n var _data$state$placement = data[state.placement],\n x = _data$state$placement.x,\n y = _data$state$placement.y;\n\n if (state.modifiersData.popperOffsets != null) {\n state.modifiersData.popperOffsets.x += x;\n state.modifiersData.popperOffsets.y += y;\n }\n\n state.modifiersData[name] = data;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'offset',\n enabled: true,\n phase: 'main',\n requires: ['popperOffsets'],\n fn: offset\n};","import computeOffsets from \"../utils/computeOffsets.js\";\n\nfunction popperOffsets(_ref) {\n var state = _ref.state,\n name = _ref.name;\n // Offsets are the actual position the popper needs to have to be\n // properly positioned near its reference element\n // This is the most basic placement, and will be adjusted by\n // the modifiers in the next step\n state.modifiersData[name] = computeOffsets({\n reference: state.rects.reference,\n element: state.rects.popper,\n strategy: 'absolute',\n placement: state.placement\n });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'popperOffsets',\n enabled: true,\n phase: 'read',\n fn: popperOffsets,\n data: {}\n};","import { top, left, right, bottom, start } from \"../enums.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getMainAxisFromPlacement from \"../utils/getMainAxisFromPlacement.js\";\nimport getAltAxis from \"../utils/getAltAxis.js\";\nimport { within, withinMaxClamp } from \"../utils/within.js\";\nimport getLayoutRect from \"../dom-utils/getLayoutRect.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\nimport getVariation from \"../utils/getVariation.js\";\nimport getFreshSideObject from \"../utils/getFreshSideObject.js\";\nimport { min as mathMin, max as mathMax } from \"../utils/math.js\";\n\nfunction preventOverflow(_ref) {\n var state = _ref.state,\n options = _ref.options,\n name = _ref.name;\n var _options$mainAxis = options.mainAxis,\n checkMainAxis = _options$mainAxis === void 0 ? true : _options$mainAxis,\n _options$altAxis = options.altAxis,\n checkAltAxis = _options$altAxis === void 0 ? false : _options$altAxis,\n boundary = options.boundary,\n rootBoundary = options.rootBoundary,\n altBoundary = options.altBoundary,\n padding = options.padding,\n _options$tether = options.tether,\n tether = _options$tether === void 0 ? true : _options$tether,\n _options$tetherOffset = options.tetherOffset,\n tetherOffset = _options$tetherOffset === void 0 ? 0 : _options$tetherOffset;\n var overflow = detectOverflow(state, {\n boundary: boundary,\n rootBoundary: rootBoundary,\n padding: padding,\n altBoundary: altBoundary\n });\n var basePlacement = getBasePlacement(state.placement);\n var variation = getVariation(state.placement);\n var isBasePlacement = !variation;\n var mainAxis = getMainAxisFromPlacement(basePlacement);\n var altAxis = getAltAxis(mainAxis);\n var popperOffsets = state.modifiersData.popperOffsets;\n var referenceRect = state.rects.reference;\n var popperRect = state.rects.popper;\n var tetherOffsetValue = typeof tetherOffset === 'function' ? tetherOffset(Object.assign({}, state.rects, {\n placement: state.placement\n })) : tetherOffset;\n var normalizedTetherOffsetValue = typeof tetherOffsetValue === 'number' ? {\n mainAxis: tetherOffsetValue,\n altAxis: tetherOffsetValue\n } : Object.assign({\n mainAxis: 0,\n altAxis: 0\n }, tetherOffsetValue);\n var offsetModifierState = state.modifiersData.offset ? state.modifiersData.offset[state.placement] : null;\n var data = {\n x: 0,\n y: 0\n };\n\n if (!popperOffsets) {\n return;\n }\n\n if (checkMainAxis) {\n var _offsetModifierState$;\n\n var mainSide = mainAxis === 'y' ? top : left;\n var altSide = mainAxis === 'y' ? bottom : right;\n var len = mainAxis === 'y' ? 'height' : 'width';\n var offset = popperOffsets[mainAxis];\n var min = offset + overflow[mainSide];\n var max = offset - overflow[altSide];\n var additive = tether ? -popperRect[len] / 2 : 0;\n var minLen = variation === start ? referenceRect[len] : popperRect[len];\n var maxLen = variation === start ? -popperRect[len] : -referenceRect[len]; // We need to include the arrow in the calculation so the arrow doesn't go\n // outside the reference bounds\n\n var arrowElement = state.elements.arrow;\n var arrowRect = tether && arrowElement ? getLayoutRect(arrowElement) : {\n width: 0,\n height: 0\n };\n var arrowPaddingObject = state.modifiersData['arrow#persistent'] ? state.modifiersData['arrow#persistent'].padding : getFreshSideObject();\n var arrowPaddingMin = arrowPaddingObject[mainSide];\n var arrowPaddingMax = arrowPaddingObject[altSide]; // If the reference length is smaller than the arrow length, we don't want\n // to include its full size in the calculation. If the reference is small\n // and near the edge of a boundary, the popper can overflow even if the\n // reference is not overflowing as well (e.g. virtual elements with no\n // width or height)\n\n var arrowLen = within(0, referenceRect[len], arrowRect[len]);\n var minOffset = isBasePlacement ? referenceRect[len] / 2 - additive - arrowLen - arrowPaddingMin - normalizedTetherOffsetValue.mainAxis : minLen - arrowLen - arrowPaddingMin - normalizedTetherOffsetValue.mainAxis;\n var maxOffset = isBasePlacement ? -referenceRect[len] / 2 + additive + arrowLen + arrowPaddingMax + normalizedTetherOffsetValue.mainAxis : maxLen + arrowLen + arrowPaddingMax + normalizedTetherOffsetValue.mainAxis;\n var arrowOffsetParent = state.elements.arrow && getOffsetParent(state.elements.arrow);\n var clientOffset = arrowOffsetParent ? mainAxis === 'y' ? arrowOffsetParent.clientTop || 0 : arrowOffsetParent.clientLeft || 0 : 0;\n var offsetModifierValue = (_offsetModifierState$ = offsetModifierState == null ? void 0 : offsetModifierState[mainAxis]) != null ? _offsetModifierState$ : 0;\n var tetherMin = offset + minOffset - offsetModifierValue - clientOffset;\n var tetherMax = offset + maxOffset - offsetModifierValue;\n var preventedOffset = within(tether ? mathMin(min, tetherMin) : min, offset, tether ? mathMax(max, tetherMax) : max);\n popperOffsets[mainAxis] = preventedOffset;\n data[mainAxis] = preventedOffset - offset;\n }\n\n if (checkAltAxis) {\n var _offsetModifierState$2;\n\n var _mainSide = mainAxis === 'x' ? top : left;\n\n var _altSide = mainAxis === 'x' ? bottom : right;\n\n var _offset = popperOffsets[altAxis];\n\n var _len = altAxis === 'y' ? 'height' : 'width';\n\n var _min = _offset + overflow[_mainSide];\n\n var _max = _offset - overflow[_altSide];\n\n var isOriginSide = [top, left].indexOf(basePlacement) !== -1;\n\n var _offsetModifierValue = (_offsetModifierState$2 = offsetModifierState == null ? void 0 : offsetModifierState[altAxis]) != null ? _offsetModifierState$2 : 0;\n\n var _tetherMin = isOriginSide ? _min : _offset - referenceRect[_len] - popperRect[_len] - _offsetModifierValue + normalizedTetherOffsetValue.altAxis;\n\n var _tetherMax = isOriginSide ? _offset + referenceRect[_len] + popperRect[_len] - _offsetModifierValue - normalizedTetherOffsetValue.altAxis : _max;\n\n var _preventedOffset = tether && isOriginSide ? withinMaxClamp(_tetherMin, _offset, _tetherMax) : within(tether ? _tetherMin : _min, _offset, tether ? _tetherMax : _max);\n\n popperOffsets[altAxis] = _preventedOffset;\n data[altAxis] = _preventedOffset - _offset;\n }\n\n state.modifiersData[name] = data;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n name: 'preventOverflow',\n enabled: true,\n phase: 'main',\n fn: preventOverflow,\n requiresIfExists: ['offset']\n};","export default function getAltAxis(axis) {\n return axis === 'x' ? 'y' : 'x';\n}","import getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getNodeScroll from \"./getNodeScroll.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport isScrollParent from \"./isScrollParent.js\";\nimport { round } from \"../utils/math.js\";\n\nfunction isElementScaled(element) {\n var rect = element.getBoundingClientRect();\n var scaleX = round(rect.width) / element.offsetWidth || 1;\n var scaleY = round(rect.height) / element.offsetHeight || 1;\n return scaleX !== 1 || scaleY !== 1;\n} // Returns the composite rect of an element relative to its offsetParent.\n// Composite means it takes into account transforms as well as layout.\n\n\nexport default function getCompositeRect(elementOrVirtualElement, offsetParent, isFixed) {\n if (isFixed === void 0) {\n isFixed = false;\n }\n\n var isOffsetParentAnElement = isHTMLElement(offsetParent);\n var offsetParentIsScaled = isHTMLElement(offsetParent) && isElementScaled(offsetParent);\n var documentElement = getDocumentElement(offsetParent);\n var rect = getBoundingClientRect(elementOrVirtualElement, offsetParentIsScaled, isFixed);\n var scroll = {\n scrollLeft: 0,\n scrollTop: 0\n };\n var offsets = {\n x: 0,\n y: 0\n };\n\n if (isOffsetParentAnElement || !isOffsetParentAnElement && !isFixed) {\n if (getNodeName(offsetParent) !== 'body' || // https://github.com/popperjs/popper-core/issues/1078\n isScrollParent(documentElement)) {\n scroll = getNodeScroll(offsetParent);\n }\n\n if (isHTMLElement(offsetParent)) {\n offsets = getBoundingClientRect(offsetParent, true);\n offsets.x += offsetParent.clientLeft;\n offsets.y += offsetParent.clientTop;\n } else if (documentElement) {\n offsets.x = getWindowScrollBarX(documentElement);\n }\n }\n\n return {\n x: rect.left + scroll.scrollLeft - offsets.x,\n y: rect.top + scroll.scrollTop - offsets.y,\n width: rect.width,\n height: rect.height\n };\n}","import getWindowScroll from \"./getWindowScroll.js\";\nimport getWindow from \"./getWindow.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nimport getHTMLElementScroll from \"./getHTMLElementScroll.js\";\nexport default function getNodeScroll(node) {\n if (node === getWindow(node) || !isHTMLElement(node)) {\n return getWindowScroll(node);\n } else {\n return getHTMLElementScroll(node);\n }\n}","export default function getHTMLElementScroll(element) {\n return {\n scrollLeft: element.scrollLeft,\n scrollTop: element.scrollTop\n };\n}","import { modifierPhases } from \"../enums.js\"; // source: https://stackoverflow.com/questions/49875255\n\nfunction order(modifiers) {\n var map = new Map();\n var visited = new Set();\n var result = [];\n modifiers.forEach(function (modifier) {\n map.set(modifier.name, modifier);\n }); // On visiting object, check for its dependencies and visit them recursively\n\n function sort(modifier) {\n visited.add(modifier.name);\n var requires = [].concat(modifier.requires || [], modifier.requiresIfExists || []);\n requires.forEach(function (dep) {\n if (!visited.has(dep)) {\n var depModifier = map.get(dep);\n\n if (depModifier) {\n sort(depModifier);\n }\n }\n });\n result.push(modifier);\n }\n\n modifiers.forEach(function (modifier) {\n if (!visited.has(modifier.name)) {\n // check for visited object\n sort(modifier);\n }\n });\n return result;\n}\n\nexport default function orderModifiers(modifiers) {\n // order based on dependencies\n var orderedModifiers = order(modifiers); // order based on phase\n\n return modifierPhases.reduce(function (acc, phase) {\n return acc.concat(orderedModifiers.filter(function (modifier) {\n return modifier.phase === phase;\n }));\n }, []);\n}","import getCompositeRect from \"./dom-utils/getCompositeRect.js\";\nimport getLayoutRect from \"./dom-utils/getLayoutRect.js\";\nimport listScrollParents from \"./dom-utils/listScrollParents.js\";\nimport getOffsetParent from \"./dom-utils/getOffsetParent.js\";\nimport orderModifiers from \"./utils/orderModifiers.js\";\nimport debounce from \"./utils/debounce.js\";\nimport mergeByName from \"./utils/mergeByName.js\";\nimport detectOverflow from \"./utils/detectOverflow.js\";\nimport { isElement } from \"./dom-utils/instanceOf.js\";\nvar DEFAULT_OPTIONS = {\n placement: 'bottom',\n modifiers: [],\n strategy: 'absolute'\n};\n\nfunction areValidElements() {\n for (var _len = arguments.length, args = new Array(_len), _key = 0; _key < _len; _key++) {\n args[_key] = arguments[_key];\n }\n\n return !args.some(function (element) {\n return !(element && typeof element.getBoundingClientRect === 'function');\n });\n}\n\nexport function popperGenerator(generatorOptions) {\n if (generatorOptions === void 0) {\n generatorOptions = {};\n }\n\n var _generatorOptions = generatorOptions,\n _generatorOptions$def = _generatorOptions.defaultModifiers,\n defaultModifiers = _generatorOptions$def === void 0 ? [] : _generatorOptions$def,\n _generatorOptions$def2 = _generatorOptions.defaultOptions,\n defaultOptions = _generatorOptions$def2 === void 0 ? DEFAULT_OPTIONS : _generatorOptions$def2;\n return function createPopper(reference, popper, options) {\n if (options === void 0) {\n options = defaultOptions;\n }\n\n var state = {\n placement: 'bottom',\n orderedModifiers: [],\n options: Object.assign({}, DEFAULT_OPTIONS, defaultOptions),\n modifiersData: {},\n elements: {\n reference: reference,\n popper: popper\n },\n attributes: {},\n styles: {}\n };\n var effectCleanupFns = [];\n var isDestroyed = false;\n var instance = {\n state: state,\n setOptions: function setOptions(setOptionsAction) {\n var options = typeof setOptionsAction === 'function' ? setOptionsAction(state.options) : setOptionsAction;\n cleanupModifierEffects();\n state.options = Object.assign({}, defaultOptions, state.options, options);\n state.scrollParents = {\n reference: isElement(reference) ? listScrollParents(reference) : reference.contextElement ? listScrollParents(reference.contextElement) : [],\n popper: listScrollParents(popper)\n }; // Orders the modifiers based on their dependencies and `phase`\n // properties\n\n var orderedModifiers = orderModifiers(mergeByName([].concat(defaultModifiers, state.options.modifiers))); // Strip out disabled modifiers\n\n state.orderedModifiers = orderedModifiers.filter(function (m) {\n return m.enabled;\n });\n runModifierEffects();\n return instance.update();\n },\n // Sync update – it will always be executed, even if not necessary. This\n // is useful for low frequency updates where sync behavior simplifies the\n // logic.\n // For high frequency updates (e.g. `resize` and `scroll` events), always\n // prefer the async Popper#update method\n forceUpdate: function forceUpdate() {\n if (isDestroyed) {\n return;\n }\n\n var _state$elements = state.elements,\n reference = _state$elements.reference,\n popper = _state$elements.popper; // Don't proceed if `reference` or `popper` are not valid elements\n // anymore\n\n if (!areValidElements(reference, popper)) {\n return;\n } // Store the reference and popper rects to be read by modifiers\n\n\n state.rects = {\n reference: getCompositeRect(reference, getOffsetParent(popper), state.options.strategy === 'fixed'),\n popper: getLayoutRect(popper)\n }; // Modifiers have the ability to reset the current update cycle. The\n // most common use case for this is the `flip` modifier changing the\n // placement, which then needs to re-run all the modifiers, because the\n // logic was previously ran for the previous placement and is therefore\n // stale/incorrect\n\n state.reset = false;\n state.placement = state.options.placement; // On each update cycle, the `modifiersData` property for each modifier\n // is filled with the initial data specified by the modifier. This means\n // it doesn't persist and is fresh on each update.\n // To ensure persistent data, use `${name}#persistent`\n\n state.orderedModifiers.forEach(function (modifier) {\n return state.modifiersData[modifier.name] = Object.assign({}, modifier.data);\n });\n\n for (var index = 0; index < state.orderedModifiers.length; index++) {\n if (state.reset === true) {\n state.reset = false;\n index = -1;\n continue;\n }\n\n var _state$orderedModifie = state.orderedModifiers[index],\n fn = _state$orderedModifie.fn,\n _state$orderedModifie2 = _state$orderedModifie.options,\n _options = _state$orderedModifie2 === void 0 ? {} : _state$orderedModifie2,\n name = _state$orderedModifie.name;\n\n if (typeof fn === 'function') {\n state = fn({\n state: state,\n options: _options,\n name: name,\n instance: instance\n }) || state;\n }\n }\n },\n // Async and optimistically optimized update – it will not be executed if\n // not necessary (debounced to run at most once-per-tick)\n update: debounce(function () {\n return new Promise(function (resolve) {\n instance.forceUpdate();\n resolve(state);\n });\n }),\n destroy: function destroy() {\n cleanupModifierEffects();\n isDestroyed = true;\n }\n };\n\n if (!areValidElements(reference, popper)) {\n return instance;\n }\n\n instance.setOptions(options).then(function (state) {\n if (!isDestroyed && options.onFirstUpdate) {\n options.onFirstUpdate(state);\n }\n }); // Modifiers have the ability to execute arbitrary code before the first\n // update cycle runs. They will be executed in the same order as the update\n // cycle. This is useful when a modifier adds some persistent data that\n // other modifiers need to use, but the modifier is run after the dependent\n // one.\n\n function runModifierEffects() {\n state.orderedModifiers.forEach(function (_ref) {\n var name = _ref.name,\n _ref$options = _ref.options,\n options = _ref$options === void 0 ? {} : _ref$options,\n effect = _ref.effect;\n\n if (typeof effect === 'function') {\n var cleanupFn = effect({\n state: state,\n name: name,\n instance: instance,\n options: options\n });\n\n var noopFn = function noopFn() {};\n\n effectCleanupFns.push(cleanupFn || noopFn);\n }\n });\n }\n\n function cleanupModifierEffects() {\n effectCleanupFns.forEach(function (fn) {\n return fn();\n });\n effectCleanupFns = [];\n }\n\n return instance;\n };\n}\nexport var createPopper = /*#__PURE__*/popperGenerator(); // eslint-disable-next-line import/no-unused-modules\n\nexport { detectOverflow };","export default function debounce(fn) {\n var pending;\n return function () {\n if (!pending) {\n pending = new Promise(function (resolve) {\n Promise.resolve().then(function () {\n pending = undefined;\n resolve(fn());\n });\n });\n }\n\n return pending;\n };\n}","export default function mergeByName(modifiers) {\n var merged = modifiers.reduce(function (merged, current) {\n var existing = merged[current.name];\n merged[current.name] = existing ? Object.assign({}, existing, current, {\n options: Object.assign({}, existing.options, current.options),\n data: Object.assign({}, existing.data, current.data)\n }) : current;\n return merged;\n }, {}); // IE11 does not support Object.values\n\n return Object.keys(merged).map(function (key) {\n return merged[key];\n });\n}","import { popperGenerator, detectOverflow } from \"./createPopper.js\";\nimport eventListeners from \"./modifiers/eventListeners.js\";\nimport popperOffsets from \"./modifiers/popperOffsets.js\";\nimport computeStyles from \"./modifiers/computeStyles.js\";\nimport applyStyles from \"./modifiers/applyStyles.js\";\nvar defaultModifiers = [eventListeners, popperOffsets, computeStyles, applyStyles];\nvar createPopper = /*#__PURE__*/popperGenerator({\n defaultModifiers: defaultModifiers\n}); // eslint-disable-next-line import/no-unused-modules\n\nexport { createPopper, popperGenerator, defaultModifiers, detectOverflow };","import { popperGenerator, detectOverflow } from \"./createPopper.js\";\nimport eventListeners from \"./modifiers/eventListeners.js\";\nimport popperOffsets from \"./modifiers/popperOffsets.js\";\nimport computeStyles from \"./modifiers/computeStyles.js\";\nimport applyStyles from \"./modifiers/applyStyles.js\";\nimport offset from \"./modifiers/offset.js\";\nimport flip from \"./modifiers/flip.js\";\nimport preventOverflow from \"./modifiers/preventOverflow.js\";\nimport arrow from \"./modifiers/arrow.js\";\nimport hide from \"./modifiers/hide.js\";\nvar defaultModifiers = [eventListeners, popperOffsets, computeStyles, applyStyles, offset, flip, preventOverflow, arrow, hide];\nvar createPopper = /*#__PURE__*/popperGenerator({\n defaultModifiers: defaultModifiers\n}); // eslint-disable-next-line import/no-unused-modules\n\nexport { createPopper, popperGenerator, defaultModifiers, detectOverflow }; // eslint-disable-next-line import/no-unused-modules\n\nexport { createPopper as createPopperLite } from \"./popper-lite.js\"; // eslint-disable-next-line import/no-unused-modules\n\nexport * from \"./modifiers/index.js\";","/**\n * --------------------------------------------------------------------------\n * Bootstrap dropdown.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport * as Popper from '@popperjs/core'\nimport BaseComponent from './base-component.js'\nimport EventHandler from './dom/event-handler.js'\nimport Manipulator from './dom/manipulator.js'\nimport SelectorEngine from './dom/selector-engine.js'\nimport {\n defineJQueryPlugin,\n execute,\n getElement,\n getNextActiveElement,\n isDisabled,\n isElement,\n isRTL,\n isVisible,\n noop\n} from './util/index.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'dropdown'\nconst DATA_KEY = 'bs.dropdown'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst DATA_API_KEY = '.data-api'\n\nconst ESCAPE_KEY = 'Escape'\nconst TAB_KEY = 'Tab'\nconst ARROW_UP_KEY = 'ArrowUp'\nconst ARROW_DOWN_KEY = 'ArrowDown'\nconst RIGHT_MOUSE_BUTTON = 2 // MouseEvent.button value for the secondary button, usually the right button\n\nconst EVENT_HIDE = `hide${EVENT_KEY}`\nconst EVENT_HIDDEN = `hidden${EVENT_KEY}`\nconst EVENT_SHOW = `show${EVENT_KEY}`\nconst EVENT_SHOWN = `shown${EVENT_KEY}`\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY}${DATA_API_KEY}`\nconst EVENT_KEYDOWN_DATA_API = `keydown${EVENT_KEY}${DATA_API_KEY}`\nconst EVENT_KEYUP_DATA_API = `keyup${EVENT_KEY}${DATA_API_KEY}`\n\nconst CLASS_NAME_SHOW = 'show'\nconst CLASS_NAME_DROPUP = 'dropup'\nconst CLASS_NAME_DROPEND = 'dropend'\nconst CLASS_NAME_DROPSTART = 'dropstart'\nconst CLASS_NAME_DROPUP_CENTER = 'dropup-center'\nconst CLASS_NAME_DROPDOWN_CENTER = 'dropdown-center'\n\nconst SELECTOR_DATA_TOGGLE = '[data-bs-toggle=\"dropdown\"]:not(.disabled):not(:disabled)'\nconst SELECTOR_DATA_TOGGLE_SHOWN = `${SELECTOR_DATA_TOGGLE}.${CLASS_NAME_SHOW}`\nconst SELECTOR_MENU = '.dropdown-menu'\nconst SELECTOR_NAVBAR = '.navbar'\nconst SELECTOR_NAVBAR_NAV = '.navbar-nav'\nconst SELECTOR_VISIBLE_ITEMS = '.dropdown-menu .dropdown-item:not(.disabled):not(:disabled)'\n\nconst PLACEMENT_TOP = isRTL() ? 'top-end' : 'top-start'\nconst PLACEMENT_TOPEND = isRTL() ? 'top-start' : 'top-end'\nconst PLACEMENT_BOTTOM = isRTL() ? 'bottom-end' : 'bottom-start'\nconst PLACEMENT_BOTTOMEND = isRTL() ? 'bottom-start' : 'bottom-end'\nconst PLACEMENT_RIGHT = isRTL() ? 'left-start' : 'right-start'\nconst PLACEMENT_LEFT = isRTL() ? 'right-start' : 'left-start'\nconst PLACEMENT_TOPCENTER = 'top'\nconst PLACEMENT_BOTTOMCENTER = 'bottom'\n\nconst Default = {\n autoClose: true,\n boundary: 'clippingParents',\n display: 'dynamic',\n offset: [0, 2],\n popperConfig: null,\n reference: 'toggle'\n}\n\nconst DefaultType = {\n autoClose: '(boolean|string)',\n boundary: '(string|element)',\n display: 'string',\n offset: '(array|string|function)',\n popperConfig: '(null|object|function)',\n reference: '(string|element|object)'\n}\n\n/**\n * Class definition\n */\n\nclass Dropdown extends BaseComponent {\n constructor(element, config) {\n super(element, config)\n\n this._popper = null\n this._parent = this._element.parentNode // dropdown wrapper\n // TODO: v6 revert #37011 & change markup https://getbootstrap.com/docs/5.3/forms/input-group/\n this._menu = SelectorEngine.next(this._element, SELECTOR_MENU)[0] ||\n SelectorEngine.prev(this._element, SELECTOR_MENU)[0] ||\n SelectorEngine.findOne(SELECTOR_MENU, this._parent)\n this._inNavbar = this._detectNavbar()\n }\n\n // Getters\n static get Default() {\n return Default\n }\n\n static get DefaultType() {\n return DefaultType\n }\n\n static get NAME() {\n return NAME\n }\n\n // Public\n toggle() {\n return this._isShown() ? this.hide() : this.show()\n }\n\n show() {\n if (isDisabled(this._element) || this._isShown()) {\n return\n }\n\n const relatedTarget = {\n relatedTarget: this._element\n }\n\n const showEvent = EventHandler.trigger(this._element, EVENT_SHOW, relatedTarget)\n\n if (showEvent.defaultPrevented) {\n return\n }\n\n this._createPopper()\n\n // If this is a touch-enabled device we add extra\n // empty mouseover listeners to the body's immediate children;\n // only needed because of broken event delegation on iOS\n // https://www.quirksmode.org/blog/archives/2014/02/mouse_event_bub.html\n if ('ontouchstart' in document.documentElement && !this._parent.closest(SELECTOR_NAVBAR_NAV)) {\n for (const element of [].concat(...document.body.children)) {\n EventHandler.on(element, 'mouseover', noop)\n }\n }\n\n this._element.focus()\n this._element.setAttribute('aria-expanded', true)\n\n this._menu.classList.add(CLASS_NAME_SHOW)\n this._element.classList.add(CLASS_NAME_SHOW)\n EventHandler.trigger(this._element, EVENT_SHOWN, relatedTarget)\n }\n\n hide() {\n if (isDisabled(this._element) || !this._isShown()) {\n return\n }\n\n const relatedTarget = {\n relatedTarget: this._element\n }\n\n this._completeHide(relatedTarget)\n }\n\n dispose() {\n if (this._popper) {\n this._popper.destroy()\n }\n\n super.dispose()\n }\n\n update() {\n this._inNavbar = this._detectNavbar()\n if (this._popper) {\n this._popper.update()\n }\n }\n\n // Private\n _completeHide(relatedTarget) {\n const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE, relatedTarget)\n if (hideEvent.defaultPrevented) {\n return\n }\n\n // If this is a touch-enabled device we remove the extra\n // empty mouseover listeners we added for iOS support\n if ('ontouchstart' in document.documentElement) {\n for (const element of [].concat(...document.body.children)) {\n EventHandler.off(element, 'mouseover', noop)\n }\n }\n\n if (this._popper) {\n this._popper.destroy()\n }\n\n this._menu.classList.remove(CLASS_NAME_SHOW)\n this._element.classList.remove(CLASS_NAME_SHOW)\n this._element.setAttribute('aria-expanded', 'false')\n Manipulator.removeDataAttribute(this._menu, 'popper')\n EventHandler.trigger(this._element, EVENT_HIDDEN, relatedTarget)\n }\n\n _getConfig(config) {\n config = super._getConfig(config)\n\n if (typeof config.reference === 'object' && !isElement(config.reference) &&\n typeof config.reference.getBoundingClientRect !== 'function'\n ) {\n // Popper virtual elements require a getBoundingClientRect method\n throw new TypeError(`${NAME.toUpperCase()}: Option \"reference\" provided type \"object\" without a required \"getBoundingClientRect\" method.`)\n }\n\n return config\n }\n\n _createPopper() {\n if (typeof Popper === 'undefined') {\n throw new TypeError('Bootstrap\\'s dropdowns require Popper (https://popper.js.org)')\n }\n\n let referenceElement = this._element\n\n if (this._config.reference === 'parent') {\n referenceElement = this._parent\n } else if (isElement(this._config.reference)) {\n referenceElement = getElement(this._config.reference)\n } else if (typeof this._config.reference === 'object') {\n referenceElement = this._config.reference\n }\n\n const popperConfig = this._getPopperConfig()\n this._popper = Popper.createPopper(referenceElement, this._menu, popperConfig)\n }\n\n _isShown() {\n return this._menu.classList.contains(CLASS_NAME_SHOW)\n }\n\n _getPlacement() {\n const parentDropdown = this._parent\n\n if (parentDropdown.classList.contains(CLASS_NAME_DROPEND)) {\n return PLACEMENT_RIGHT\n }\n\n if (parentDropdown.classList.contains(CLASS_NAME_DROPSTART)) {\n return PLACEMENT_LEFT\n }\n\n if (parentDropdown.classList.contains(CLASS_NAME_DROPUP_CENTER)) {\n return PLACEMENT_TOPCENTER\n }\n\n if (parentDropdown.classList.contains(CLASS_NAME_DROPDOWN_CENTER)) {\n return PLACEMENT_BOTTOMCENTER\n }\n\n // We need to trim the value because custom properties can also include spaces\n const isEnd = getComputedStyle(this._menu).getPropertyValue('--bs-position').trim() === 'end'\n\n if (parentDropdown.classList.contains(CLASS_NAME_DROPUP)) {\n return isEnd ? PLACEMENT_TOPEND : PLACEMENT_TOP\n }\n\n return isEnd ? PLACEMENT_BOTTOMEND : PLACEMENT_BOTTOM\n }\n\n _detectNavbar() {\n return this._element.closest(SELECTOR_NAVBAR) !== null\n }\n\n _getOffset() {\n const { offset } = this._config\n\n if (typeof offset === 'string') {\n return offset.split(',').map(value => Number.parseInt(value, 10))\n }\n\n if (typeof offset === 'function') {\n return popperData => offset(popperData, this._element)\n }\n\n return offset\n }\n\n _getPopperConfig() {\n const defaultBsPopperConfig = {\n placement: this._getPlacement(),\n modifiers: [{\n name: 'preventOverflow',\n options: {\n boundary: this._config.boundary\n }\n },\n {\n name: 'offset',\n options: {\n offset: this._getOffset()\n }\n }]\n }\n\n // Disable Popper if we have a static display or Dropdown is in Navbar\n if (this._inNavbar || this._config.display === 'static') {\n Manipulator.setDataAttribute(this._menu, 'popper', 'static') // TODO: v6 remove\n defaultBsPopperConfig.modifiers = [{\n name: 'applyStyles',\n enabled: false\n }]\n }\n\n return {\n ...defaultBsPopperConfig,\n ...execute(this._config.popperConfig, [defaultBsPopperConfig])\n }\n }\n\n _selectMenuItem({ key, target }) {\n const items = SelectorEngine.find(SELECTOR_VISIBLE_ITEMS, this._menu).filter(element => isVisible(element))\n\n if (!items.length) {\n return\n }\n\n // if target isn't included in items (e.g. when expanding the dropdown)\n // allow cycling to get the last item in case key equals ARROW_UP_KEY\n getNextActiveElement(items, target, key === ARROW_DOWN_KEY, !items.includes(target)).focus()\n }\n\n // Static\n static jQueryInterface(config) {\n return this.each(function () {\n const data = Dropdown.getOrCreateInstance(this, config)\n\n if (typeof config !== 'string') {\n return\n }\n\n if (typeof data[config] === 'undefined') {\n throw new TypeError(`No method named \"${config}\"`)\n }\n\n data[config]()\n })\n }\n\n static clearMenus(event) {\n if (event.button === RIGHT_MOUSE_BUTTON || (event.type === 'keyup' && event.key !== TAB_KEY)) {\n return\n }\n\n const openToggles = SelectorEngine.find(SELECTOR_DATA_TOGGLE_SHOWN)\n\n for (const toggle of openToggles) {\n const context = Dropdown.getInstance(toggle)\n if (!context || context._config.autoClose === false) {\n continue\n }\n\n const composedPath = event.composedPath()\n const isMenuTarget = composedPath.includes(context._menu)\n if (\n composedPath.includes(context._element) ||\n (context._config.autoClose === 'inside' && !isMenuTarget) ||\n (context._config.autoClose === 'outside' && isMenuTarget)\n ) {\n continue\n }\n\n // Tab navigation through the dropdown menu or events from contained inputs shouldn't close the menu\n if (context._menu.contains(event.target) && ((event.type === 'keyup' && event.key === TAB_KEY) || /input|select|option|textarea|form/i.test(event.target.tagName))) {\n continue\n }\n\n const relatedTarget = { relatedTarget: context._element }\n\n if (event.type === 'click') {\n relatedTarget.clickEvent = event\n }\n\n context._completeHide(relatedTarget)\n }\n }\n\n static dataApiKeydownHandler(event) {\n // If not an UP | DOWN | ESCAPE key => not a dropdown command\n // If input/textarea && if key is other than ESCAPE => not a dropdown command\n\n const isInput = /input|textarea/i.test(event.target.tagName)\n const isEscapeEvent = event.key === ESCAPE_KEY\n const isUpOrDownEvent = [ARROW_UP_KEY, ARROW_DOWN_KEY].includes(event.key)\n\n if (!isUpOrDownEvent && !isEscapeEvent) {\n return\n }\n\n if (isInput && !isEscapeEvent) {\n return\n }\n\n event.preventDefault()\n\n // TODO: v6 revert #37011 & change markup https://getbootstrap.com/docs/5.3/forms/input-group/\n const getToggleButton = this.matches(SELECTOR_DATA_TOGGLE) ?\n this :\n (SelectorEngine.prev(this, SELECTOR_DATA_TOGGLE)[0] ||\n SelectorEngine.next(this, SELECTOR_DATA_TOGGLE)[0] ||\n SelectorEngine.findOne(SELECTOR_DATA_TOGGLE, event.delegateTarget.parentNode))\n\n const instance = Dropdown.getOrCreateInstance(getToggleButton)\n\n if (isUpOrDownEvent) {\n event.stopPropagation()\n instance.show()\n instance._selectMenuItem(event)\n return\n }\n\n if (instance._isShown()) { // else is escape and we check if it is shown\n event.stopPropagation()\n instance.hide()\n getToggleButton.focus()\n }\n }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_KEYDOWN_DATA_API, SELECTOR_DATA_TOGGLE, Dropdown.dataApiKeydownHandler)\nEventHandler.on(document, EVENT_KEYDOWN_DATA_API, SELECTOR_MENU, Dropdown.dataApiKeydownHandler)\nEventHandler.on(document, EVENT_CLICK_DATA_API, Dropdown.clearMenus)\nEventHandler.on(document, EVENT_KEYUP_DATA_API, Dropdown.clearMenus)\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_TOGGLE, function (event) {\n event.preventDefault()\n Dropdown.getOrCreateInstance(this).toggle()\n})\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Dropdown)\n\nexport default Dropdown\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap util/backdrop.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport EventHandler from '../dom/event-handler.js'\nimport Config from './config.js'\nimport { execute, executeAfterTransition, getElement, reflow } from './index.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'backdrop'\nconst CLASS_NAME_FADE = 'fade'\nconst CLASS_NAME_SHOW = 'show'\nconst EVENT_MOUSEDOWN = `mousedown.bs.${NAME}`\n\nconst Default = {\n className: 'modal-backdrop',\n clickCallback: null,\n isAnimated: false,\n isVisible: true, // if false, we use the backdrop helper without adding any element to the dom\n rootElement: 'body' // give the choice to place backdrop under different elements\n}\n\nconst DefaultType = {\n className: 'string',\n clickCallback: '(function|null)',\n isAnimated: 'boolean',\n isVisible: 'boolean',\n rootElement: '(element|string)'\n}\n\n/**\n * Class definition\n */\n\nclass Backdrop extends Config {\n constructor(config) {\n super()\n this._config = this._getConfig(config)\n this._isAppended = false\n this._element = null\n }\n\n // Getters\n static get Default() {\n return Default\n }\n\n static get DefaultType() {\n return DefaultType\n }\n\n static get NAME() {\n return NAME\n }\n\n // Public\n show(callback) {\n if (!this._config.isVisible) {\n execute(callback)\n return\n }\n\n this._append()\n\n const element = this._getElement()\n if (this._config.isAnimated) {\n reflow(element)\n }\n\n element.classList.add(CLASS_NAME_SHOW)\n\n this._emulateAnimation(() => {\n execute(callback)\n })\n }\n\n hide(callback) {\n if (!this._config.isVisible) {\n execute(callback)\n return\n }\n\n this._getElement().classList.remove(CLASS_NAME_SHOW)\n\n this._emulateAnimation(() => {\n this.dispose()\n execute(callback)\n })\n }\n\n dispose() {\n if (!this._isAppended) {\n return\n }\n\n EventHandler.off(this._element, EVENT_MOUSEDOWN)\n\n this._element.remove()\n this._isAppended = false\n }\n\n // Private\n _getElement() {\n if (!this._element) {\n const backdrop = document.createElement('div')\n backdrop.className = this._config.className\n if (this._config.isAnimated) {\n backdrop.classList.add(CLASS_NAME_FADE)\n }\n\n this._element = backdrop\n }\n\n return this._element\n }\n\n _configAfterMerge(config) {\n // use getElement() with the default \"body\" to get a fresh Element on each instantiation\n config.rootElement = getElement(config.rootElement)\n return config\n }\n\n _append() {\n if (this._isAppended) {\n return\n }\n\n const element = this._getElement()\n this._config.rootElement.append(element)\n\n EventHandler.on(element, EVENT_MOUSEDOWN, () => {\n execute(this._config.clickCallback)\n })\n\n this._isAppended = true\n }\n\n _emulateAnimation(callback) {\n executeAfterTransition(callback, this._getElement(), this._config.isAnimated)\n }\n}\n\nexport default Backdrop\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap util/focustrap.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport EventHandler from '../dom/event-handler.js'\nimport SelectorEngine from '../dom/selector-engine.js'\nimport Config from './config.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'focustrap'\nconst DATA_KEY = 'bs.focustrap'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst EVENT_FOCUSIN = `focusin${EVENT_KEY}`\nconst EVENT_KEYDOWN_TAB = `keydown.tab${EVENT_KEY}`\n\nconst TAB_KEY = 'Tab'\nconst TAB_NAV_FORWARD = 'forward'\nconst TAB_NAV_BACKWARD = 'backward'\n\nconst Default = {\n autofocus: true,\n trapElement: null // The element to trap focus inside of\n}\n\nconst DefaultType = {\n autofocus: 'boolean',\n trapElement: 'element'\n}\n\n/**\n * Class definition\n */\n\nclass FocusTrap extends Config {\n constructor(config) {\n super()\n this._config = this._getConfig(config)\n this._isActive = false\n this._lastTabNavDirection = null\n }\n\n // Getters\n static get Default() {\n return Default\n }\n\n static get DefaultType() {\n return DefaultType\n }\n\n static get NAME() {\n return NAME\n }\n\n // Public\n activate() {\n if (this._isActive) {\n return\n }\n\n if (this._config.autofocus) {\n this._config.trapElement.focus()\n }\n\n EventHandler.off(document, EVENT_KEY) // guard against infinite focus loop\n EventHandler.on(document, EVENT_FOCUSIN, event => this._handleFocusin(event))\n EventHandler.on(document, EVENT_KEYDOWN_TAB, event => this._handleKeydown(event))\n\n this._isActive = true\n }\n\n deactivate() {\n if (!this._isActive) {\n return\n }\n\n this._isActive = false\n EventHandler.off(document, EVENT_KEY)\n }\n\n // Private\n _handleFocusin(event) {\n const { trapElement } = this._config\n\n if (event.target === document || event.target === trapElement || trapElement.contains(event.target)) {\n return\n }\n\n const elements = SelectorEngine.focusableChildren(trapElement)\n\n if (elements.length === 0) {\n trapElement.focus()\n } else if (this._lastTabNavDirection === TAB_NAV_BACKWARD) {\n elements[elements.length - 1].focus()\n } else {\n elements[0].focus()\n }\n }\n\n _handleKeydown(event) {\n if (event.key !== TAB_KEY) {\n return\n }\n\n this._lastTabNavDirection = event.shiftKey ? TAB_NAV_BACKWARD : TAB_NAV_FORWARD\n }\n}\n\nexport default FocusTrap\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap util/scrollBar.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport Manipulator from '../dom/manipulator.js'\nimport SelectorEngine from '../dom/selector-engine.js'\nimport { isElement } from './index.js'\n\n/**\n * Constants\n */\n\nconst SELECTOR_FIXED_CONTENT = '.fixed-top, .fixed-bottom, .is-fixed, .sticky-top'\nconst SELECTOR_STICKY_CONTENT = '.sticky-top'\nconst PROPERTY_PADDING = 'padding-right'\nconst PROPERTY_MARGIN = 'margin-right'\n\n/**\n * Class definition\n */\n\nclass ScrollBarHelper {\n constructor() {\n this._element = document.body\n }\n\n // Public\n getWidth() {\n // https://developer.mozilla.org/en-US/docs/Web/API/Window/innerWidth#usage_notes\n const documentWidth = document.documentElement.clientWidth\n return Math.abs(window.innerWidth - documentWidth)\n }\n\n hide() {\n const width = this.getWidth()\n this._disableOverFlow()\n // give padding to element to balance the hidden scrollbar width\n this._setElementAttributes(this._element, PROPERTY_PADDING, calculatedValue => calculatedValue + width)\n // trick: We adjust positive paddingRight and negative marginRight to sticky-top elements to keep showing fullwidth\n this._setElementAttributes(SELECTOR_FIXED_CONTENT, PROPERTY_PADDING, calculatedValue => calculatedValue + width)\n this._setElementAttributes(SELECTOR_STICKY_CONTENT, PROPERTY_MARGIN, calculatedValue => calculatedValue - width)\n }\n\n reset() {\n this._resetElementAttributes(this._element, 'overflow')\n this._resetElementAttributes(this._element, PROPERTY_PADDING)\n this._resetElementAttributes(SELECTOR_FIXED_CONTENT, PROPERTY_PADDING)\n this._resetElementAttributes(SELECTOR_STICKY_CONTENT, PROPERTY_MARGIN)\n }\n\n isOverflowing() {\n return this.getWidth() > 0\n }\n\n // Private\n _disableOverFlow() {\n this._saveInitialAttribute(this._element, 'overflow')\n this._element.style.overflow = 'hidden'\n }\n\n _setElementAttributes(selector, styleProperty, callback) {\n const scrollbarWidth = this.getWidth()\n const manipulationCallBack = element => {\n if (element !== this._element && window.innerWidth > element.clientWidth + scrollbarWidth) {\n return\n }\n\n this._saveInitialAttribute(element, styleProperty)\n const calculatedValue = window.getComputedStyle(element).getPropertyValue(styleProperty)\n element.style.setProperty(styleProperty, `${callback(Number.parseFloat(calculatedValue))}px`)\n }\n\n this._applyManipulationCallback(selector, manipulationCallBack)\n }\n\n _saveInitialAttribute(element, styleProperty) {\n const actualValue = element.style.getPropertyValue(styleProperty)\n if (actualValue) {\n Manipulator.setDataAttribute(element, styleProperty, actualValue)\n }\n }\n\n _resetElementAttributes(selector, styleProperty) {\n const manipulationCallBack = element => {\n const value = Manipulator.getDataAttribute(element, styleProperty)\n // We only want to remove the property if the value is `null`; the value can also be zero\n if (value === null) {\n element.style.removeProperty(styleProperty)\n return\n }\n\n Manipulator.removeDataAttribute(element, styleProperty)\n element.style.setProperty(styleProperty, value)\n }\n\n this._applyManipulationCallback(selector, manipulationCallBack)\n }\n\n _applyManipulationCallback(selector, callBack) {\n if (isElement(selector)) {\n callBack(selector)\n return\n }\n\n for (const sel of SelectorEngine.find(selector, this._element)) {\n callBack(sel)\n }\n }\n}\n\nexport default ScrollBarHelper\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap modal.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport BaseComponent from './base-component.js'\nimport EventHandler from './dom/event-handler.js'\nimport SelectorEngine from './dom/selector-engine.js'\nimport Backdrop from './util/backdrop.js'\nimport { enableDismissTrigger } from './util/component-functions.js'\nimport FocusTrap from './util/focustrap.js'\nimport { defineJQueryPlugin, isRTL, isVisible, reflow } from './util/index.js'\nimport ScrollBarHelper from './util/scrollbar.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'modal'\nconst DATA_KEY = 'bs.modal'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst DATA_API_KEY = '.data-api'\nconst ESCAPE_KEY = 'Escape'\n\nconst EVENT_HIDE = `hide${EVENT_KEY}`\nconst EVENT_HIDE_PREVENTED = `hidePrevented${EVENT_KEY}`\nconst EVENT_HIDDEN = `hidden${EVENT_KEY}`\nconst EVENT_SHOW = `show${EVENT_KEY}`\nconst EVENT_SHOWN = `shown${EVENT_KEY}`\nconst EVENT_RESIZE = `resize${EVENT_KEY}`\nconst EVENT_CLICK_DISMISS = `click.dismiss${EVENT_KEY}`\nconst EVENT_MOUSEDOWN_DISMISS = `mousedown.dismiss${EVENT_KEY}`\nconst EVENT_KEYDOWN_DISMISS = `keydown.dismiss${EVENT_KEY}`\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY}${DATA_API_KEY}`\n\nconst CLASS_NAME_OPEN = 'modal-open'\nconst CLASS_NAME_FADE = 'fade'\nconst CLASS_NAME_SHOW = 'show'\nconst CLASS_NAME_STATIC = 'modal-static'\n\nconst OPEN_SELECTOR = '.modal.show'\nconst SELECTOR_DIALOG = '.modal-dialog'\nconst SELECTOR_MODAL_BODY = '.modal-body'\nconst SELECTOR_DATA_TOGGLE = '[data-bs-toggle=\"modal\"]'\n\nconst Default = {\n backdrop: true,\n focus: true,\n keyboard: true\n}\n\nconst DefaultType = {\n backdrop: '(boolean|string)',\n focus: 'boolean',\n keyboard: 'boolean'\n}\n\n/**\n * Class definition\n */\n\nclass Modal extends BaseComponent {\n constructor(element, config) {\n super(element, config)\n\n this._dialog = SelectorEngine.findOne(SELECTOR_DIALOG, this._element)\n this._backdrop = this._initializeBackDrop()\n this._focustrap = this._initializeFocusTrap()\n this._isShown = false\n this._isTransitioning = false\n this._scrollBar = new ScrollBarHelper()\n\n this._addEventListeners()\n }\n\n // Getters\n static get Default() {\n return Default\n }\n\n static get DefaultType() {\n return DefaultType\n }\n\n static get NAME() {\n return NAME\n }\n\n // Public\n toggle(relatedTarget) {\n return this._isShown ? this.hide() : this.show(relatedTarget)\n }\n\n show(relatedTarget) {\n if (this._isShown || this._isTransitioning) {\n return\n }\n\n const showEvent = EventHandler.trigger(this._element, EVENT_SHOW, {\n relatedTarget\n })\n\n if (showEvent.defaultPrevented) {\n return\n }\n\n this._isShown = true\n this._isTransitioning = true\n\n this._scrollBar.hide()\n\n document.body.classList.add(CLASS_NAME_OPEN)\n\n this._adjustDialog()\n\n this._backdrop.show(() => this._showElement(relatedTarget))\n }\n\n hide() {\n if (!this._isShown || this._isTransitioning) {\n return\n }\n\n const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE)\n\n if (hideEvent.defaultPrevented) {\n return\n }\n\n this._isShown = false\n this._isTransitioning = true\n this._focustrap.deactivate()\n\n this._element.classList.remove(CLASS_NAME_SHOW)\n\n this._queueCallback(() => this._hideModal(), this._element, this._isAnimated())\n }\n\n dispose() {\n EventHandler.off(window, EVENT_KEY)\n EventHandler.off(this._dialog, EVENT_KEY)\n\n this._backdrop.dispose()\n this._focustrap.deactivate()\n\n super.dispose()\n }\n\n handleUpdate() {\n this._adjustDialog()\n }\n\n // Private\n _initializeBackDrop() {\n return new Backdrop({\n isVisible: Boolean(this._config.backdrop), // 'static' option will be translated to true, and booleans will keep their value,\n isAnimated: this._isAnimated()\n })\n }\n\n _initializeFocusTrap() {\n return new FocusTrap({\n trapElement: this._element\n })\n }\n\n _showElement(relatedTarget) {\n // try to append dynamic modal\n if (!document.body.contains(this._element)) {\n document.body.append(this._element)\n }\n\n this._element.style.display = 'block'\n this._element.removeAttribute('aria-hidden')\n this._element.setAttribute('aria-modal', true)\n this._element.setAttribute('role', 'dialog')\n this._element.scrollTop = 0\n\n const modalBody = SelectorEngine.findOne(SELECTOR_MODAL_BODY, this._dialog)\n if (modalBody) {\n modalBody.scrollTop = 0\n }\n\n reflow(this._element)\n\n this._element.classList.add(CLASS_NAME_SHOW)\n\n const transitionComplete = () => {\n if (this._config.focus) {\n this._focustrap.activate()\n }\n\n this._isTransitioning = false\n EventHandler.trigger(this._element, EVENT_SHOWN, {\n relatedTarget\n })\n }\n\n this._queueCallback(transitionComplete, this._dialog, this._isAnimated())\n }\n\n _addEventListeners() {\n EventHandler.on(this._element, EVENT_KEYDOWN_DISMISS, event => {\n if (event.key !== ESCAPE_KEY) {\n return\n }\n\n if (this._config.keyboard) {\n this.hide()\n return\n }\n\n this._triggerBackdropTransition()\n })\n\n EventHandler.on(window, EVENT_RESIZE, () => {\n if (this._isShown && !this._isTransitioning) {\n this._adjustDialog()\n }\n })\n\n EventHandler.on(this._element, EVENT_MOUSEDOWN_DISMISS, event => {\n // a bad trick to segregate clicks that may start inside dialog but end outside, and avoid listen to scrollbar clicks\n EventHandler.one(this._element, EVENT_CLICK_DISMISS, event2 => {\n if (this._element !== event.target || this._element !== event2.target) {\n return\n }\n\n if (this._config.backdrop === 'static') {\n this._triggerBackdropTransition()\n return\n }\n\n if (this._config.backdrop) {\n this.hide()\n }\n })\n })\n }\n\n _hideModal() {\n this._element.style.display = 'none'\n this._element.setAttribute('aria-hidden', true)\n this._element.removeAttribute('aria-modal')\n this._element.removeAttribute('role')\n this._isTransitioning = false\n\n this._backdrop.hide(() => {\n document.body.classList.remove(CLASS_NAME_OPEN)\n this._resetAdjustments()\n this._scrollBar.reset()\n EventHandler.trigger(this._element, EVENT_HIDDEN)\n })\n }\n\n _isAnimated() {\n return this._element.classList.contains(CLASS_NAME_FADE)\n }\n\n _triggerBackdropTransition() {\n const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE_PREVENTED)\n if (hideEvent.defaultPrevented) {\n return\n }\n\n const isModalOverflowing = this._element.scrollHeight > document.documentElement.clientHeight\n const initialOverflowY = this._element.style.overflowY\n // return if the following background transition hasn't yet completed\n if (initialOverflowY === 'hidden' || this._element.classList.contains(CLASS_NAME_STATIC)) {\n return\n }\n\n if (!isModalOverflowing) {\n this._element.style.overflowY = 'hidden'\n }\n\n this._element.classList.add(CLASS_NAME_STATIC)\n this._queueCallback(() => {\n this._element.classList.remove(CLASS_NAME_STATIC)\n this._queueCallback(() => {\n this._element.style.overflowY = initialOverflowY\n }, this._dialog)\n }, this._dialog)\n\n this._element.focus()\n }\n\n /**\n * The following methods are used to handle overflowing modals\n */\n\n _adjustDialog() {\n const isModalOverflowing = this._element.scrollHeight > document.documentElement.clientHeight\n const scrollbarWidth = this._scrollBar.getWidth()\n const isBodyOverflowing = scrollbarWidth > 0\n\n if (isBodyOverflowing && !isModalOverflowing) {\n const property = isRTL() ? 'paddingLeft' : 'paddingRight'\n this._element.style[property] = `${scrollbarWidth}px`\n }\n\n if (!isBodyOverflowing && isModalOverflowing) {\n const property = isRTL() ? 'paddingRight' : 'paddingLeft'\n this._element.style[property] = `${scrollbarWidth}px`\n }\n }\n\n _resetAdjustments() {\n this._element.style.paddingLeft = ''\n this._element.style.paddingRight = ''\n }\n\n // Static\n static jQueryInterface(config, relatedTarget) {\n return this.each(function () {\n const data = Modal.getOrCreateInstance(this, config)\n\n if (typeof config !== 'string') {\n return\n }\n\n if (typeof data[config] === 'undefined') {\n throw new TypeError(`No method named \"${config}\"`)\n }\n\n data[config](relatedTarget)\n })\n }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_TOGGLE, function (event) {\n const target = SelectorEngine.getElementFromSelector(this)\n\n if (['A', 'AREA'].includes(this.tagName)) {\n event.preventDefault()\n }\n\n EventHandler.one(target, EVENT_SHOW, showEvent => {\n if (showEvent.defaultPrevented) {\n // only register focus restorer if modal will actually get shown\n return\n }\n\n EventHandler.one(target, EVENT_HIDDEN, () => {\n if (isVisible(this)) {\n this.focus()\n }\n })\n })\n\n // avoid conflict when clicking modal toggler while another one is open\n const alreadyOpen = SelectorEngine.findOne(OPEN_SELECTOR)\n if (alreadyOpen) {\n Modal.getInstance(alreadyOpen).hide()\n }\n\n const data = Modal.getOrCreateInstance(target)\n\n data.toggle(this)\n})\n\nenableDismissTrigger(Modal)\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Modal)\n\nexport default Modal\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap offcanvas.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport BaseComponent from './base-component.js'\nimport EventHandler from './dom/event-handler.js'\nimport SelectorEngine from './dom/selector-engine.js'\nimport Backdrop from './util/backdrop.js'\nimport { enableDismissTrigger } from './util/component-functions.js'\nimport FocusTrap from './util/focustrap.js'\nimport {\n defineJQueryPlugin,\n isDisabled,\n isVisible\n} from './util/index.js'\nimport ScrollBarHelper from './util/scrollbar.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'offcanvas'\nconst DATA_KEY = 'bs.offcanvas'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst DATA_API_KEY = '.data-api'\nconst EVENT_LOAD_DATA_API = `load${EVENT_KEY}${DATA_API_KEY}`\nconst ESCAPE_KEY = 'Escape'\n\nconst CLASS_NAME_SHOW = 'show'\nconst CLASS_NAME_SHOWING = 'showing'\nconst CLASS_NAME_HIDING = 'hiding'\nconst CLASS_NAME_BACKDROP = 'offcanvas-backdrop'\nconst OPEN_SELECTOR = '.offcanvas.show'\n\nconst EVENT_SHOW = `show${EVENT_KEY}`\nconst EVENT_SHOWN = `shown${EVENT_KEY}`\nconst EVENT_HIDE = `hide${EVENT_KEY}`\nconst EVENT_HIDE_PREVENTED = `hidePrevented${EVENT_KEY}`\nconst EVENT_HIDDEN = `hidden${EVENT_KEY}`\nconst EVENT_RESIZE = `resize${EVENT_KEY}`\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY}${DATA_API_KEY}`\nconst EVENT_KEYDOWN_DISMISS = `keydown.dismiss${EVENT_KEY}`\n\nconst SELECTOR_DATA_TOGGLE = '[data-bs-toggle=\"offcanvas\"]'\n\nconst Default = {\n backdrop: true,\n keyboard: true,\n scroll: false\n}\n\nconst DefaultType = {\n backdrop: '(boolean|string)',\n keyboard: 'boolean',\n scroll: 'boolean'\n}\n\n/**\n * Class definition\n */\n\nclass Offcanvas extends BaseComponent {\n constructor(element, config) {\n super(element, config)\n\n this._isShown = false\n this._backdrop = this._initializeBackDrop()\n this._focustrap = this._initializeFocusTrap()\n this._addEventListeners()\n }\n\n // Getters\n static get Default() {\n return Default\n }\n\n static get DefaultType() {\n return DefaultType\n }\n\n static get NAME() {\n return NAME\n }\n\n // Public\n toggle(relatedTarget) {\n return this._isShown ? this.hide() : this.show(relatedTarget)\n }\n\n show(relatedTarget) {\n if (this._isShown) {\n return\n }\n\n const showEvent = EventHandler.trigger(this._element, EVENT_SHOW, { relatedTarget })\n\n if (showEvent.defaultPrevented) {\n return\n }\n\n this._isShown = true\n this._backdrop.show()\n\n if (!this._config.scroll) {\n new ScrollBarHelper().hide()\n }\n\n this._element.setAttribute('aria-modal', true)\n this._element.setAttribute('role', 'dialog')\n this._element.classList.add(CLASS_NAME_SHOWING)\n\n const completeCallBack = () => {\n if (!this._config.scroll || this._config.backdrop) {\n this._focustrap.activate()\n }\n\n this._element.classList.add(CLASS_NAME_SHOW)\n this._element.classList.remove(CLASS_NAME_SHOWING)\n EventHandler.trigger(this._element, EVENT_SHOWN, { relatedTarget })\n }\n\n this._queueCallback(completeCallBack, this._element, true)\n }\n\n hide() {\n if (!this._isShown) {\n return\n }\n\n const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE)\n\n if (hideEvent.defaultPrevented) {\n return\n }\n\n this._focustrap.deactivate()\n this._element.blur()\n this._isShown = false\n this._element.classList.add(CLASS_NAME_HIDING)\n this._backdrop.hide()\n\n const completeCallback = () => {\n this._element.classList.remove(CLASS_NAME_SHOW, CLASS_NAME_HIDING)\n this._element.removeAttribute('aria-modal')\n this._element.removeAttribute('role')\n\n if (!this._config.scroll) {\n new ScrollBarHelper().reset()\n }\n\n EventHandler.trigger(this._element, EVENT_HIDDEN)\n }\n\n this._queueCallback(completeCallback, this._element, true)\n }\n\n dispose() {\n this._backdrop.dispose()\n this._focustrap.deactivate()\n super.dispose()\n }\n\n // Private\n _initializeBackDrop() {\n const clickCallback = () => {\n if (this._config.backdrop === 'static') {\n EventHandler.trigger(this._element, EVENT_HIDE_PREVENTED)\n return\n }\n\n this.hide()\n }\n\n // 'static' option will be translated to true, and booleans will keep their value\n const isVisible = Boolean(this._config.backdrop)\n\n return new Backdrop({\n className: CLASS_NAME_BACKDROP,\n isVisible,\n isAnimated: true,\n rootElement: this._element.parentNode,\n clickCallback: isVisible ? clickCallback : null\n })\n }\n\n _initializeFocusTrap() {\n return new FocusTrap({\n trapElement: this._element\n })\n }\n\n _addEventListeners() {\n EventHandler.on(this._element, EVENT_KEYDOWN_DISMISS, event => {\n if (event.key !== ESCAPE_KEY) {\n return\n }\n\n if (this._config.keyboard) {\n this.hide()\n return\n }\n\n EventHandler.trigger(this._element, EVENT_HIDE_PREVENTED)\n })\n }\n\n // Static\n static jQueryInterface(config) {\n return this.each(function () {\n const data = Offcanvas.getOrCreateInstance(this, config)\n\n if (typeof config !== 'string') {\n return\n }\n\n if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n throw new TypeError(`No method named \"${config}\"`)\n }\n\n data[config](this)\n })\n }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_TOGGLE, function (event) {\n const target = SelectorEngine.getElementFromSelector(this)\n\n if (['A', 'AREA'].includes(this.tagName)) {\n event.preventDefault()\n }\n\n if (isDisabled(this)) {\n return\n }\n\n EventHandler.one(target, EVENT_HIDDEN, () => {\n // focus on trigger when it is closed\n if (isVisible(this)) {\n this.focus()\n }\n })\n\n // avoid conflict when clicking a toggler of an offcanvas, while another is open\n const alreadyOpen = SelectorEngine.findOne(OPEN_SELECTOR)\n if (alreadyOpen && alreadyOpen !== target) {\n Offcanvas.getInstance(alreadyOpen).hide()\n }\n\n const data = Offcanvas.getOrCreateInstance(target)\n data.toggle(this)\n})\n\nEventHandler.on(window, EVENT_LOAD_DATA_API, () => {\n for (const selector of SelectorEngine.find(OPEN_SELECTOR)) {\n Offcanvas.getOrCreateInstance(selector).show()\n }\n})\n\nEventHandler.on(window, EVENT_RESIZE, () => {\n for (const element of SelectorEngine.find('[aria-modal][class*=show][class*=offcanvas-]')) {\n if (getComputedStyle(element).position !== 'fixed') {\n Offcanvas.getOrCreateInstance(element).hide()\n }\n }\n})\n\nenableDismissTrigger(Offcanvas)\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Offcanvas)\n\nexport default Offcanvas\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap util/sanitizer.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n// js-docs-start allow-list\nconst ARIA_ATTRIBUTE_PATTERN = /^aria-[\\w-]*$/i\n\nexport const DefaultAllowlist = {\n // Global attributes allowed on any supplied element below.\n '*': ['class', 'dir', 'id', 'lang', 'role', ARIA_ATTRIBUTE_PATTERN],\n a: ['target', 'href', 'title', 'rel'],\n area: [],\n b: [],\n br: [],\n col: [],\n code: [],\n div: [],\n em: [],\n hr: [],\n h1: [],\n h2: [],\n h3: [],\n h4: [],\n h5: [],\n h6: [],\n i: [],\n img: ['src', 'srcset', 'alt', 'title', 'width', 'height'],\n li: [],\n ol: [],\n p: [],\n pre: [],\n s: [],\n small: [],\n span: [],\n sub: [],\n sup: [],\n strong: [],\n u: [],\n ul: []\n}\n// js-docs-end allow-list\n\nconst uriAttributes = new Set([\n 'background',\n 'cite',\n 'href',\n 'itemtype',\n 'longdesc',\n 'poster',\n 'src',\n 'xlink:href'\n])\n\n/**\n * A pattern that recognizes URLs that are safe wrt. XSS in URL navigation\n * contexts.\n *\n * Shout-out to Angular https://github.com/angular/angular/blob/15.2.8/packages/core/src/sanitization/url_sanitizer.ts#L38\n */\n// eslint-disable-next-line unicorn/better-regex\nconst SAFE_URL_PATTERN = /^(?!javascript:)(?:[a-z0-9+.-]+:|[^&:/?#]*(?:[/?#]|$))/i\n\nconst allowedAttribute = (attribute, allowedAttributeList) => {\n const attributeName = attribute.nodeName.toLowerCase()\n\n if (allowedAttributeList.includes(attributeName)) {\n if (uriAttributes.has(attributeName)) {\n return Boolean(SAFE_URL_PATTERN.test(attribute.nodeValue))\n }\n\n return true\n }\n\n // Check if a regular expression validates the attribute.\n return allowedAttributeList.filter(attributeRegex => attributeRegex instanceof RegExp)\n .some(regex => regex.test(attributeName))\n}\n\nexport function sanitizeHtml(unsafeHtml, allowList, sanitizeFunction) {\n if (!unsafeHtml.length) {\n return unsafeHtml\n }\n\n if (sanitizeFunction && typeof sanitizeFunction === 'function') {\n return sanitizeFunction(unsafeHtml)\n }\n\n const domParser = new window.DOMParser()\n const createdDocument = domParser.parseFromString(unsafeHtml, 'text/html')\n const elements = [].concat(...createdDocument.body.querySelectorAll('*'))\n\n for (const element of elements) {\n const elementName = element.nodeName.toLowerCase()\n\n if (!Object.keys(allowList).includes(elementName)) {\n element.remove()\n continue\n }\n\n const attributeList = [].concat(...element.attributes)\n const allowedAttributes = [].concat(allowList['*'] || [], allowList[elementName] || [])\n\n for (const attribute of attributeList) {\n if (!allowedAttribute(attribute, allowedAttributes)) {\n element.removeAttribute(attribute.nodeName)\n }\n }\n }\n\n return createdDocument.body.innerHTML\n}\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap util/template-factory.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport SelectorEngine from '../dom/selector-engine.js'\nimport Config from './config.js'\nimport { DefaultAllowlist, sanitizeHtml } from './sanitizer.js'\nimport { execute, getElement, isElement } from './index.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'TemplateFactory'\n\nconst Default = {\n allowList: DefaultAllowlist,\n content: {}, // { selector : text , selector2 : text2 , }\n extraClass: '',\n html: false,\n sanitize: true,\n sanitizeFn: null,\n template: '
    '\n}\n\nconst DefaultType = {\n allowList: 'object',\n content: 'object',\n extraClass: '(string|function)',\n html: 'boolean',\n sanitize: 'boolean',\n sanitizeFn: '(null|function)',\n template: 'string'\n}\n\nconst DefaultContentType = {\n entry: '(string|element|function|null)',\n selector: '(string|element)'\n}\n\n/**\n * Class definition\n */\n\nclass TemplateFactory extends Config {\n constructor(config) {\n super()\n this._config = this._getConfig(config)\n }\n\n // Getters\n static get Default() {\n return Default\n }\n\n static get DefaultType() {\n return DefaultType\n }\n\n static get NAME() {\n return NAME\n }\n\n // Public\n getContent() {\n return Object.values(this._config.content)\n .map(config => this._resolvePossibleFunction(config))\n .filter(Boolean)\n }\n\n hasContent() {\n return this.getContent().length > 0\n }\n\n changeContent(content) {\n this._checkContent(content)\n this._config.content = { ...this._config.content, ...content }\n return this\n }\n\n toHtml() {\n const templateWrapper = document.createElement('div')\n templateWrapper.innerHTML = this._maybeSanitize(this._config.template)\n\n for (const [selector, text] of Object.entries(this._config.content)) {\n this._setContent(templateWrapper, text, selector)\n }\n\n const template = templateWrapper.children[0]\n const extraClass = this._resolvePossibleFunction(this._config.extraClass)\n\n if (extraClass) {\n template.classList.add(...extraClass.split(' '))\n }\n\n return template\n }\n\n // Private\n _typeCheckConfig(config) {\n super._typeCheckConfig(config)\n this._checkContent(config.content)\n }\n\n _checkContent(arg) {\n for (const [selector, content] of Object.entries(arg)) {\n super._typeCheckConfig({ selector, entry: content }, DefaultContentType)\n }\n }\n\n _setContent(template, content, selector) {\n const templateElement = SelectorEngine.findOne(selector, template)\n\n if (!templateElement) {\n return\n }\n\n content = this._resolvePossibleFunction(content)\n\n if (!content) {\n templateElement.remove()\n return\n }\n\n if (isElement(content)) {\n this._putElementInTemplate(getElement(content), templateElement)\n return\n }\n\n if (this._config.html) {\n templateElement.innerHTML = this._maybeSanitize(content)\n return\n }\n\n templateElement.textContent = content\n }\n\n _maybeSanitize(arg) {\n return this._config.sanitize ? sanitizeHtml(arg, this._config.allowList, this._config.sanitizeFn) : arg\n }\n\n _resolvePossibleFunction(arg) {\n return execute(arg, [this])\n }\n\n _putElementInTemplate(element, templateElement) {\n if (this._config.html) {\n templateElement.innerHTML = ''\n templateElement.append(element)\n return\n }\n\n templateElement.textContent = element.textContent\n }\n}\n\nexport default TemplateFactory\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap tooltip.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport * as Popper from '@popperjs/core'\nimport BaseComponent from './base-component.js'\nimport EventHandler from './dom/event-handler.js'\nimport Manipulator from './dom/manipulator.js'\nimport { defineJQueryPlugin, execute, findShadowRoot, getElement, getUID, isRTL, noop } from './util/index.js'\nimport { DefaultAllowlist } from './util/sanitizer.js'\nimport TemplateFactory from './util/template-factory.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'tooltip'\nconst DISALLOWED_ATTRIBUTES = new Set(['sanitize', 'allowList', 'sanitizeFn'])\n\nconst CLASS_NAME_FADE = 'fade'\nconst CLASS_NAME_MODAL = 'modal'\nconst CLASS_NAME_SHOW = 'show'\n\nconst SELECTOR_TOOLTIP_INNER = '.tooltip-inner'\nconst SELECTOR_MODAL = `.${CLASS_NAME_MODAL}`\n\nconst EVENT_MODAL_HIDE = 'hide.bs.modal'\n\nconst TRIGGER_HOVER = 'hover'\nconst TRIGGER_FOCUS = 'focus'\nconst TRIGGER_CLICK = 'click'\nconst TRIGGER_MANUAL = 'manual'\n\nconst EVENT_HIDE = 'hide'\nconst EVENT_HIDDEN = 'hidden'\nconst EVENT_SHOW = 'show'\nconst EVENT_SHOWN = 'shown'\nconst EVENT_INSERTED = 'inserted'\nconst EVENT_CLICK = 'click'\nconst EVENT_FOCUSIN = 'focusin'\nconst EVENT_FOCUSOUT = 'focusout'\nconst EVENT_MOUSEENTER = 'mouseenter'\nconst EVENT_MOUSELEAVE = 'mouseleave'\n\nconst AttachmentMap = {\n AUTO: 'auto',\n TOP: 'top',\n RIGHT: isRTL() ? 'left' : 'right',\n BOTTOM: 'bottom',\n LEFT: isRTL() ? 'right' : 'left'\n}\n\nconst Default = {\n allowList: DefaultAllowlist,\n animation: true,\n boundary: 'clippingParents',\n container: false,\n customClass: '',\n delay: 0,\n fallbackPlacements: ['top', 'right', 'bottom', 'left'],\n html: false,\n offset: [0, 6],\n placement: 'top',\n popperConfig: null,\n sanitize: true,\n sanitizeFn: null,\n selector: false,\n template: '
    ' +\n '
    ' +\n '
    ' +\n '
    ',\n title: '',\n trigger: 'hover focus'\n}\n\nconst DefaultType = {\n allowList: 'object',\n animation: 'boolean',\n boundary: '(string|element)',\n container: '(string|element|boolean)',\n customClass: '(string|function)',\n delay: '(number|object)',\n fallbackPlacements: 'array',\n html: 'boolean',\n offset: '(array|string|function)',\n placement: '(string|function)',\n popperConfig: '(null|object|function)',\n sanitize: 'boolean',\n sanitizeFn: '(null|function)',\n selector: '(string|boolean)',\n template: 'string',\n title: '(string|element|function)',\n trigger: 'string'\n}\n\n/**\n * Class definition\n */\n\nclass Tooltip extends BaseComponent {\n constructor(element, config) {\n if (typeof Popper === 'undefined') {\n throw new TypeError('Bootstrap\\'s tooltips require Popper (https://popper.js.org)')\n }\n\n super(element, config)\n\n // Private\n this._isEnabled = true\n this._timeout = 0\n this._isHovered = null\n this._activeTrigger = {}\n this._popper = null\n this._templateFactory = null\n this._newContent = null\n\n // Protected\n this.tip = null\n\n this._setListeners()\n\n if (!this._config.selector) {\n this._fixTitle()\n }\n }\n\n // Getters\n static get Default() {\n return Default\n }\n\n static get DefaultType() {\n return DefaultType\n }\n\n static get NAME() {\n return NAME\n }\n\n // Public\n enable() {\n this._isEnabled = true\n }\n\n disable() {\n this._isEnabled = false\n }\n\n toggleEnabled() {\n this._isEnabled = !this._isEnabled\n }\n\n toggle() {\n if (!this._isEnabled) {\n return\n }\n\n this._activeTrigger.click = !this._activeTrigger.click\n if (this._isShown()) {\n this._leave()\n return\n }\n\n this._enter()\n }\n\n dispose() {\n clearTimeout(this._timeout)\n\n EventHandler.off(this._element.closest(SELECTOR_MODAL), EVENT_MODAL_HIDE, this._hideModalHandler)\n\n if (this._element.getAttribute('data-bs-original-title')) {\n this._element.setAttribute('title', this._element.getAttribute('data-bs-original-title'))\n }\n\n this._disposePopper()\n super.dispose()\n }\n\n show() {\n if (this._element.style.display === 'none') {\n throw new Error('Please use show on visible elements')\n }\n\n if (!(this._isWithContent() && this._isEnabled)) {\n return\n }\n\n const showEvent = EventHandler.trigger(this._element, this.constructor.eventName(EVENT_SHOW))\n const shadowRoot = findShadowRoot(this._element)\n const isInTheDom = (shadowRoot || this._element.ownerDocument.documentElement).contains(this._element)\n\n if (showEvent.defaultPrevented || !isInTheDom) {\n return\n }\n\n // TODO: v6 remove this or make it optional\n this._disposePopper()\n\n const tip = this._getTipElement()\n\n this._element.setAttribute('aria-describedby', tip.getAttribute('id'))\n\n const { container } = this._config\n\n if (!this._element.ownerDocument.documentElement.contains(this.tip)) {\n container.append(tip)\n EventHandler.trigger(this._element, this.constructor.eventName(EVENT_INSERTED))\n }\n\n this._popper = this._createPopper(tip)\n\n tip.classList.add(CLASS_NAME_SHOW)\n\n // If this is a touch-enabled device we add extra\n // empty mouseover listeners to the body's immediate children;\n // only needed because of broken event delegation on iOS\n // https://www.quirksmode.org/blog/archives/2014/02/mouse_event_bub.html\n if ('ontouchstart' in document.documentElement) {\n for (const element of [].concat(...document.body.children)) {\n EventHandler.on(element, 'mouseover', noop)\n }\n }\n\n const complete = () => {\n EventHandler.trigger(this._element, this.constructor.eventName(EVENT_SHOWN))\n\n if (this._isHovered === false) {\n this._leave()\n }\n\n this._isHovered = false\n }\n\n this._queueCallback(complete, this.tip, this._isAnimated())\n }\n\n hide() {\n if (!this._isShown()) {\n return\n }\n\n const hideEvent = EventHandler.trigger(this._element, this.constructor.eventName(EVENT_HIDE))\n if (hideEvent.defaultPrevented) {\n return\n }\n\n const tip = this._getTipElement()\n tip.classList.remove(CLASS_NAME_SHOW)\n\n // If this is a touch-enabled device we remove the extra\n // empty mouseover listeners we added for iOS support\n if ('ontouchstart' in document.documentElement) {\n for (const element of [].concat(...document.body.children)) {\n EventHandler.off(element, 'mouseover', noop)\n }\n }\n\n this._activeTrigger[TRIGGER_CLICK] = false\n this._activeTrigger[TRIGGER_FOCUS] = false\n this._activeTrigger[TRIGGER_HOVER] = false\n this._isHovered = null // it is a trick to support manual triggering\n\n const complete = () => {\n if (this._isWithActiveTrigger()) {\n return\n }\n\n if (!this._isHovered) {\n this._disposePopper()\n }\n\n this._element.removeAttribute('aria-describedby')\n EventHandler.trigger(this._element, this.constructor.eventName(EVENT_HIDDEN))\n }\n\n this._queueCallback(complete, this.tip, this._isAnimated())\n }\n\n update() {\n if (this._popper) {\n this._popper.update()\n }\n }\n\n // Protected\n _isWithContent() {\n return Boolean(this._getTitle())\n }\n\n _getTipElement() {\n if (!this.tip) {\n this.tip = this._createTipElement(this._newContent || this._getContentForTemplate())\n }\n\n return this.tip\n }\n\n _createTipElement(content) {\n const tip = this._getTemplateFactory(content).toHtml()\n\n // TODO: remove this check in v6\n if (!tip) {\n return null\n }\n\n tip.classList.remove(CLASS_NAME_FADE, CLASS_NAME_SHOW)\n // TODO: v6 the following can be achieved with CSS only\n tip.classList.add(`bs-${this.constructor.NAME}-auto`)\n\n const tipId = getUID(this.constructor.NAME).toString()\n\n tip.setAttribute('id', tipId)\n\n if (this._isAnimated()) {\n tip.classList.add(CLASS_NAME_FADE)\n }\n\n return tip\n }\n\n setContent(content) {\n this._newContent = content\n if (this._isShown()) {\n this._disposePopper()\n this.show()\n }\n }\n\n _getTemplateFactory(content) {\n if (this._templateFactory) {\n this._templateFactory.changeContent(content)\n } else {\n this._templateFactory = new TemplateFactory({\n ...this._config,\n // the `content` var has to be after `this._config`\n // to override config.content in case of popover\n content,\n extraClass: this._resolvePossibleFunction(this._config.customClass)\n })\n }\n\n return this._templateFactory\n }\n\n _getContentForTemplate() {\n return {\n [SELECTOR_TOOLTIP_INNER]: this._getTitle()\n }\n }\n\n _getTitle() {\n return this._resolvePossibleFunction(this._config.title) || this._element.getAttribute('data-bs-original-title')\n }\n\n // Private\n _initializeOnDelegatedTarget(event) {\n return this.constructor.getOrCreateInstance(event.delegateTarget, this._getDelegateConfig())\n }\n\n _isAnimated() {\n return this._config.animation || (this.tip && this.tip.classList.contains(CLASS_NAME_FADE))\n }\n\n _isShown() {\n return this.tip && this.tip.classList.contains(CLASS_NAME_SHOW)\n }\n\n _createPopper(tip) {\n const placement = execute(this._config.placement, [this, tip, this._element])\n const attachment = AttachmentMap[placement.toUpperCase()]\n return Popper.createPopper(this._element, tip, this._getPopperConfig(attachment))\n }\n\n _getOffset() {\n const { offset } = this._config\n\n if (typeof offset === 'string') {\n return offset.split(',').map(value => Number.parseInt(value, 10))\n }\n\n if (typeof offset === 'function') {\n return popperData => offset(popperData, this._element)\n }\n\n return offset\n }\n\n _resolvePossibleFunction(arg) {\n return execute(arg, [this._element])\n }\n\n _getPopperConfig(attachment) {\n const defaultBsPopperConfig = {\n placement: attachment,\n modifiers: [\n {\n name: 'flip',\n options: {\n fallbackPlacements: this._config.fallbackPlacements\n }\n },\n {\n name: 'offset',\n options: {\n offset: this._getOffset()\n }\n },\n {\n name: 'preventOverflow',\n options: {\n boundary: this._config.boundary\n }\n },\n {\n name: 'arrow',\n options: {\n element: `.${this.constructor.NAME}-arrow`\n }\n },\n {\n name: 'preSetPlacement',\n enabled: true,\n phase: 'beforeMain',\n fn: data => {\n // Pre-set Popper's placement attribute in order to read the arrow sizes properly.\n // Otherwise, Popper mixes up the width and height dimensions since the initial arrow style is for top placement\n this._getTipElement().setAttribute('data-popper-placement', data.state.placement)\n }\n }\n ]\n }\n\n return {\n ...defaultBsPopperConfig,\n ...execute(this._config.popperConfig, [defaultBsPopperConfig])\n }\n }\n\n _setListeners() {\n const triggers = this._config.trigger.split(' ')\n\n for (const trigger of triggers) {\n if (trigger === 'click') {\n EventHandler.on(this._element, this.constructor.eventName(EVENT_CLICK), this._config.selector, event => {\n const context = this._initializeOnDelegatedTarget(event)\n context.toggle()\n })\n } else if (trigger !== TRIGGER_MANUAL) {\n const eventIn = trigger === TRIGGER_HOVER ?\n this.constructor.eventName(EVENT_MOUSEENTER) :\n this.constructor.eventName(EVENT_FOCUSIN)\n const eventOut = trigger === TRIGGER_HOVER ?\n this.constructor.eventName(EVENT_MOUSELEAVE) :\n this.constructor.eventName(EVENT_FOCUSOUT)\n\n EventHandler.on(this._element, eventIn, this._config.selector, event => {\n const context = this._initializeOnDelegatedTarget(event)\n context._activeTrigger[event.type === 'focusin' ? TRIGGER_FOCUS : TRIGGER_HOVER] = true\n context._enter()\n })\n EventHandler.on(this._element, eventOut, this._config.selector, event => {\n const context = this._initializeOnDelegatedTarget(event)\n context._activeTrigger[event.type === 'focusout' ? TRIGGER_FOCUS : TRIGGER_HOVER] =\n context._element.contains(event.relatedTarget)\n\n context._leave()\n })\n }\n }\n\n this._hideModalHandler = () => {\n if (this._element) {\n this.hide()\n }\n }\n\n EventHandler.on(this._element.closest(SELECTOR_MODAL), EVENT_MODAL_HIDE, this._hideModalHandler)\n }\n\n _fixTitle() {\n const title = this._element.getAttribute('title')\n\n if (!title) {\n return\n }\n\n if (!this._element.getAttribute('aria-label') && !this._element.textContent.trim()) {\n this._element.setAttribute('aria-label', title)\n }\n\n this._element.setAttribute('data-bs-original-title', title) // DO NOT USE IT. Is only for backwards compatibility\n this._element.removeAttribute('title')\n }\n\n _enter() {\n if (this._isShown() || this._isHovered) {\n this._isHovered = true\n return\n }\n\n this._isHovered = true\n\n this._setTimeout(() => {\n if (this._isHovered) {\n this.show()\n }\n }, this._config.delay.show)\n }\n\n _leave() {\n if (this._isWithActiveTrigger()) {\n return\n }\n\n this._isHovered = false\n\n this._setTimeout(() => {\n if (!this._isHovered) {\n this.hide()\n }\n }, this._config.delay.hide)\n }\n\n _setTimeout(handler, timeout) {\n clearTimeout(this._timeout)\n this._timeout = setTimeout(handler, timeout)\n }\n\n _isWithActiveTrigger() {\n return Object.values(this._activeTrigger).includes(true)\n }\n\n _getConfig(config) {\n const dataAttributes = Manipulator.getDataAttributes(this._element)\n\n for (const dataAttribute of Object.keys(dataAttributes)) {\n if (DISALLOWED_ATTRIBUTES.has(dataAttribute)) {\n delete dataAttributes[dataAttribute]\n }\n }\n\n config = {\n ...dataAttributes,\n ...(typeof config === 'object' && config ? config : {})\n }\n config = this._mergeConfigObj(config)\n config = this._configAfterMerge(config)\n this._typeCheckConfig(config)\n return config\n }\n\n _configAfterMerge(config) {\n config.container = config.container === false ? document.body : getElement(config.container)\n\n if (typeof config.delay === 'number') {\n config.delay = {\n show: config.delay,\n hide: config.delay\n }\n }\n\n if (typeof config.title === 'number') {\n config.title = config.title.toString()\n }\n\n if (typeof config.content === 'number') {\n config.content = config.content.toString()\n }\n\n return config\n }\n\n _getDelegateConfig() {\n const config = {}\n\n for (const [key, value] of Object.entries(this._config)) {\n if (this.constructor.Default[key] !== value) {\n config[key] = value\n }\n }\n\n config.selector = false\n config.trigger = 'manual'\n\n // In the future can be replaced with:\n // const keysWithDifferentValues = Object.entries(this._config).filter(entry => this.constructor.Default[entry[0]] !== this._config[entry[0]])\n // `Object.fromEntries(keysWithDifferentValues)`\n return config\n }\n\n _disposePopper() {\n if (this._popper) {\n this._popper.destroy()\n this._popper = null\n }\n\n if (this.tip) {\n this.tip.remove()\n this.tip = null\n }\n }\n\n // Static\n static jQueryInterface(config) {\n return this.each(function () {\n const data = Tooltip.getOrCreateInstance(this, config)\n\n if (typeof config !== 'string') {\n return\n }\n\n if (typeof data[config] === 'undefined') {\n throw new TypeError(`No method named \"${config}\"`)\n }\n\n data[config]()\n })\n }\n}\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Tooltip)\n\nexport default Tooltip\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap popover.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport Tooltip from './tooltip.js'\nimport { defineJQueryPlugin } from './util/index.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'popover'\n\nconst SELECTOR_TITLE = '.popover-header'\nconst SELECTOR_CONTENT = '.popover-body'\n\nconst Default = {\n ...Tooltip.Default,\n content: '',\n offset: [0, 8],\n placement: 'right',\n template: '
    ' +\n '
    ' +\n '

    ' +\n '
    ' +\n '
    ',\n trigger: 'click'\n}\n\nconst DefaultType = {\n ...Tooltip.DefaultType,\n content: '(null|string|element|function)'\n}\n\n/**\n * Class definition\n */\n\nclass Popover extends Tooltip {\n // Getters\n static get Default() {\n return Default\n }\n\n static get DefaultType() {\n return DefaultType\n }\n\n static get NAME() {\n return NAME\n }\n\n // Overrides\n _isWithContent() {\n return this._getTitle() || this._getContent()\n }\n\n // Private\n _getContentForTemplate() {\n return {\n [SELECTOR_TITLE]: this._getTitle(),\n [SELECTOR_CONTENT]: this._getContent()\n }\n }\n\n _getContent() {\n return this._resolvePossibleFunction(this._config.content)\n }\n\n // Static\n static jQueryInterface(config) {\n return this.each(function () {\n const data = Popover.getOrCreateInstance(this, config)\n\n if (typeof config !== 'string') {\n return\n }\n\n if (typeof data[config] === 'undefined') {\n throw new TypeError(`No method named \"${config}\"`)\n }\n\n data[config]()\n })\n }\n}\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Popover)\n\nexport default Popover\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap scrollspy.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport BaseComponent from './base-component.js'\nimport EventHandler from './dom/event-handler.js'\nimport SelectorEngine from './dom/selector-engine.js'\nimport { defineJQueryPlugin, getElement, isDisabled, isVisible } from './util/index.js'\n\n/**\n * Constants\n */\n\nconst NAME = 'scrollspy'\nconst DATA_KEY = 'bs.scrollspy'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst DATA_API_KEY = '.data-api'\n\nconst EVENT_ACTIVATE = `activate${EVENT_KEY}`\nconst EVENT_CLICK = `click${EVENT_KEY}`\nconst EVENT_LOAD_DATA_API = `load${EVENT_KEY}${DATA_API_KEY}`\n\nconst CLASS_NAME_DROPDOWN_ITEM = 'dropdown-item'\nconst CLASS_NAME_ACTIVE = 'active'\n\nconst SELECTOR_DATA_SPY = '[data-bs-spy=\"scroll\"]'\nconst SELECTOR_TARGET_LINKS = '[href]'\nconst SELECTOR_NAV_LIST_GROUP = '.nav, .list-group'\nconst SELECTOR_NAV_LINKS = '.nav-link'\nconst SELECTOR_NAV_ITEMS = '.nav-item'\nconst SELECTOR_LIST_ITEMS = '.list-group-item'\nconst SELECTOR_LINK_ITEMS = `${SELECTOR_NAV_LINKS}, ${SELECTOR_NAV_ITEMS} > ${SELECTOR_NAV_LINKS}, ${SELECTOR_LIST_ITEMS}`\nconst SELECTOR_DROPDOWN = '.dropdown'\nconst SELECTOR_DROPDOWN_TOGGLE = '.dropdown-toggle'\n\nconst Default = {\n offset: null, // TODO: v6 @deprecated, keep it for backwards compatibility reasons\n rootMargin: '0px 0px -25%',\n smoothScroll: false,\n target: null,\n threshold: [0.1, 0.5, 1]\n}\n\nconst DefaultType = {\n offset: '(number|null)', // TODO v6 @deprecated, keep it for backwards compatibility reasons\n rootMargin: 'string',\n smoothScroll: 'boolean',\n target: 'element',\n threshold: 'array'\n}\n\n/**\n * Class definition\n */\n\nclass ScrollSpy extends BaseComponent {\n constructor(element, config) {\n super(element, config)\n\n // this._element is the observablesContainer and config.target the menu links wrapper\n this._targetLinks = new Map()\n this._observableSections = new Map()\n this._rootElement = getComputedStyle(this._element).overflowY === 'visible' ? null : this._element\n this._activeTarget = null\n this._observer = null\n this._previousScrollData = {\n visibleEntryTop: 0,\n parentScrollTop: 0\n }\n this.refresh() // initialize\n }\n\n // Getters\n static get Default() {\n return Default\n }\n\n static get DefaultType() {\n return DefaultType\n }\n\n static get NAME() {\n return NAME\n }\n\n // Public\n refresh() {\n this._initializeTargetsAndObservables()\n this._maybeEnableSmoothScroll()\n\n if (this._observer) {\n this._observer.disconnect()\n } else {\n this._observer = this._getNewObserver()\n }\n\n for (const section of this._observableSections.values()) {\n this._observer.observe(section)\n }\n }\n\n dispose() {\n this._observer.disconnect()\n super.dispose()\n }\n\n // Private\n _configAfterMerge(config) {\n // TODO: on v6 target should be given explicitly & remove the {target: 'ss-target'} case\n config.target = getElement(config.target) || document.body\n\n // TODO: v6 Only for backwards compatibility reasons. Use rootMargin only\n config.rootMargin = config.offset ? `${config.offset}px 0px -30%` : config.rootMargin\n\n if (typeof config.threshold === 'string') {\n config.threshold = config.threshold.split(',').map(value => Number.parseFloat(value))\n }\n\n return config\n }\n\n _maybeEnableSmoothScroll() {\n if (!this._config.smoothScroll) {\n return\n }\n\n // unregister any previous listeners\n EventHandler.off(this._config.target, EVENT_CLICK)\n\n EventHandler.on(this._config.target, EVENT_CLICK, SELECTOR_TARGET_LINKS, event => {\n const observableSection = this._observableSections.get(event.target.hash)\n if (observableSection) {\n event.preventDefault()\n const root = this._rootElement || window\n const height = observableSection.offsetTop - this._element.offsetTop\n if (root.scrollTo) {\n root.scrollTo({ top: height, behavior: 'smooth' })\n return\n }\n\n // Chrome 60 doesn't support `scrollTo`\n root.scrollTop = height\n }\n })\n }\n\n _getNewObserver() {\n const options = {\n root: this._rootElement,\n threshold: this._config.threshold,\n rootMargin: this._config.rootMargin\n }\n\n return new IntersectionObserver(entries => this._observerCallback(entries), options)\n }\n\n // The logic of selection\n _observerCallback(entries) {\n const targetElement = entry => this._targetLinks.get(`#${entry.target.id}`)\n const activate = entry => {\n this._previousScrollData.visibleEntryTop = entry.target.offsetTop\n this._process(targetElement(entry))\n }\n\n const parentScrollTop = (this._rootElement || document.documentElement).scrollTop\n const userScrollsDown = parentScrollTop >= this._previousScrollData.parentScrollTop\n this._previousScrollData.parentScrollTop = parentScrollTop\n\n for (const entry of entries) {\n if (!entry.isIntersecting) {\n this._activeTarget = null\n this._clearActiveClass(targetElement(entry))\n\n continue\n }\n\n const entryIsLowerThanPrevious = entry.target.offsetTop >= this._previousScrollData.visibleEntryTop\n // if we are scrolling down, pick the bigger offsetTop\n if (userScrollsDown && entryIsLowerThanPrevious) {\n activate(entry)\n // if parent isn't scrolled, let's keep the first visible item, breaking the iteration\n if (!parentScrollTop) {\n return\n }\n\n continue\n }\n\n // if we are scrolling up, pick the smallest offsetTop\n if (!userScrollsDown && !entryIsLowerThanPrevious) {\n activate(entry)\n }\n }\n }\n\n _initializeTargetsAndObservables() {\n this._targetLinks = new Map()\n this._observableSections = new Map()\n\n const targetLinks = SelectorEngine.find(SELECTOR_TARGET_LINKS, this._config.target)\n\n for (const anchor of targetLinks) {\n // ensure that the anchor has an id and is not disabled\n if (!anchor.hash || isDisabled(anchor)) {\n continue\n }\n\n const observableSection = SelectorEngine.findOne(decodeURI(anchor.hash), this._element)\n\n // ensure that the observableSection exists & is visible\n if (isVisible(observableSection)) {\n this._targetLinks.set(decodeURI(anchor.hash), anchor)\n this._observableSections.set(anchor.hash, observableSection)\n }\n }\n }\n\n _process(target) {\n if (this._activeTarget === target) {\n return\n }\n\n this._clearActiveClass(this._config.target)\n this._activeTarget = target\n target.classList.add(CLASS_NAME_ACTIVE)\n this._activateParents(target)\n\n EventHandler.trigger(this._element, EVENT_ACTIVATE, { relatedTarget: target })\n }\n\n _activateParents(target) {\n // Activate dropdown parents\n if (target.classList.contains(CLASS_NAME_DROPDOWN_ITEM)) {\n SelectorEngine.findOne(SELECTOR_DROPDOWN_TOGGLE, target.closest(SELECTOR_DROPDOWN))\n .classList.add(CLASS_NAME_ACTIVE)\n return\n }\n\n for (const listGroup of SelectorEngine.parents(target, SELECTOR_NAV_LIST_GROUP)) {\n // Set triggered links parents as active\n // With both
      and
    ')},createChildNavList:function(e){var t=this.createNavList();return e.append(t),t},generateNavEl:function(e,t){var n=a('    ');n.attr("href","#"+e),n.text(t);var r=a("
  • ");return r.append(n),r},generateNavItem:function(e){var t=this.generateAnchor(e),n=a(e),r=n.data("toc-text")||n.text();return this.generateNavEl(t,r)},getTopLevel:function(e){for(var t=1;t<=6;t++){if(1 + + + + + + + + + + + + diff --git a/docs/deps/font-awesome-6.4.2/css/all.css b/docs/deps/font-awesome-6.4.2/css/all.css new file mode 100644 index 0000000..bdb6e3a --- /dev/null +++ b/docs/deps/font-awesome-6.4.2/css/all.css @@ -0,0 +1,7968 @@ +/*! + * Font Awesome Free 6.4.2 by @fontawesome - https://fontawesome.com + * License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License) + * Copyright 2023 Fonticons, Inc. + */ +.fa { + font-family: var(--fa-style-family, "Font Awesome 6 Free"); + font-weight: var(--fa-style, 900); } + +.fa, +.fa-classic, +.fa-sharp, +.fas, +.fa-solid, +.far, +.fa-regular, +.fab, +.fa-brands { + -moz-osx-font-smoothing: grayscale; + -webkit-font-smoothing: antialiased; + display: var(--fa-display, inline-block); + font-style: normal; + font-variant: normal; + line-height: 1; + text-rendering: auto; } + +.fas, +.fa-classic, +.fa-solid, +.far, +.fa-regular { + font-family: 'Font Awesome 6 Free'; } + +.fab, +.fa-brands { + font-family: 'Font Awesome 6 Brands'; } + +.fa-1x { + font-size: 1em; } + +.fa-2x { + font-size: 2em; } + +.fa-3x { + font-size: 3em; } + +.fa-4x { + font-size: 4em; } + +.fa-5x { + font-size: 5em; } + +.fa-6x { + font-size: 6em; } + +.fa-7x { + font-size: 7em; } + +.fa-8x { + font-size: 8em; } + +.fa-9x { + font-size: 9em; } + +.fa-10x { + font-size: 10em; } + +.fa-2xs { + font-size: 0.625em; + line-height: 0.1em; + vertical-align: 0.225em; } + +.fa-xs { + font-size: 0.75em; + line-height: 0.08333em; + vertical-align: 0.125em; } + +.fa-sm { + font-size: 0.875em; + line-height: 0.07143em; + vertical-align: 0.05357em; } + +.fa-lg { + font-size: 1.25em; + line-height: 0.05em; + vertical-align: -0.075em; } + +.fa-xl { + font-size: 1.5em; + line-height: 0.04167em; + vertical-align: -0.125em; } + +.fa-2xl { + font-size: 2em; + line-height: 0.03125em; + vertical-align: -0.1875em; } + +.fa-fw { + text-align: center; + width: 1.25em; } + +.fa-ul { + list-style-type: none; + margin-left: var(--fa-li-margin, 2.5em); + padding-left: 0; } + .fa-ul > li { + position: relative; } + +.fa-li { + left: calc(var(--fa-li-width, 2em) * -1); + position: absolute; + text-align: center; + width: var(--fa-li-width, 2em); + line-height: inherit; } + +.fa-border { + border-color: var(--fa-border-color, #eee); + border-radius: var(--fa-border-radius, 0.1em); + border-style: var(--fa-border-style, solid); + border-width: var(--fa-border-width, 0.08em); + padding: var(--fa-border-padding, 0.2em 0.25em 0.15em); } + +.fa-pull-left { + float: left; + margin-right: var(--fa-pull-margin, 0.3em); } + +.fa-pull-right { + float: right; + margin-left: var(--fa-pull-margin, 0.3em); } + +.fa-beat { + -webkit-animation-name: fa-beat; + animation-name: fa-beat; + -webkit-animation-delay: var(--fa-animation-delay, 0s); + animation-delay: var(--fa-animation-delay, 0s); + -webkit-animation-direction: var(--fa-animation-direction, normal); + animation-direction: var(--fa-animation-direction, normal); + -webkit-animation-duration: var(--fa-animation-duration, 1s); + animation-duration: var(--fa-animation-duration, 1s); + -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite); + animation-iteration-count: var(--fa-animation-iteration-count, infinite); + -webkit-animation-timing-function: var(--fa-animation-timing, ease-in-out); + animation-timing-function: var(--fa-animation-timing, ease-in-out); } + +.fa-bounce { + -webkit-animation-name: fa-bounce; + animation-name: fa-bounce; + -webkit-animation-delay: var(--fa-animation-delay, 0s); + animation-delay: var(--fa-animation-delay, 0s); + -webkit-animation-direction: var(--fa-animation-direction, normal); + animation-direction: var(--fa-animation-direction, normal); + -webkit-animation-duration: var(--fa-animation-duration, 1s); + animation-duration: var(--fa-animation-duration, 1s); + -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite); + animation-iteration-count: var(--fa-animation-iteration-count, infinite); + -webkit-animation-timing-function: var(--fa-animation-timing, cubic-bezier(0.28, 0.84, 0.42, 1)); + animation-timing-function: var(--fa-animation-timing, cubic-bezier(0.28, 0.84, 0.42, 1)); } + +.fa-fade { + -webkit-animation-name: fa-fade; + animation-name: fa-fade; + -webkit-animation-delay: var(--fa-animation-delay, 0s); + animation-delay: var(--fa-animation-delay, 0s); + -webkit-animation-direction: var(--fa-animation-direction, normal); + animation-direction: var(--fa-animation-direction, normal); + -webkit-animation-duration: var(--fa-animation-duration, 1s); + animation-duration: var(--fa-animation-duration, 1s); + -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite); + animation-iteration-count: var(--fa-animation-iteration-count, infinite); + -webkit-animation-timing-function: var(--fa-animation-timing, cubic-bezier(0.4, 0, 0.6, 1)); + animation-timing-function: var(--fa-animation-timing, cubic-bezier(0.4, 0, 0.6, 1)); } + +.fa-beat-fade { + -webkit-animation-name: fa-beat-fade; + animation-name: fa-beat-fade; + -webkit-animation-delay: var(--fa-animation-delay, 0s); + animation-delay: var(--fa-animation-delay, 0s); + -webkit-animation-direction: var(--fa-animation-direction, normal); + animation-direction: var(--fa-animation-direction, normal); + -webkit-animation-duration: var(--fa-animation-duration, 1s); + animation-duration: var(--fa-animation-duration, 1s); + -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite); + animation-iteration-count: var(--fa-animation-iteration-count, infinite); + -webkit-animation-timing-function: var(--fa-animation-timing, cubic-bezier(0.4, 0, 0.6, 1)); + animation-timing-function: var(--fa-animation-timing, cubic-bezier(0.4, 0, 0.6, 1)); } + +.fa-flip { + -webkit-animation-name: fa-flip; + animation-name: fa-flip; + -webkit-animation-delay: var(--fa-animation-delay, 0s); + animation-delay: var(--fa-animation-delay, 0s); + -webkit-animation-direction: var(--fa-animation-direction, normal); + animation-direction: var(--fa-animation-direction, normal); + -webkit-animation-duration: var(--fa-animation-duration, 1s); + animation-duration: var(--fa-animation-duration, 1s); + -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite); + animation-iteration-count: var(--fa-animation-iteration-count, infinite); + -webkit-animation-timing-function: var(--fa-animation-timing, ease-in-out); + animation-timing-function: var(--fa-animation-timing, ease-in-out); } + +.fa-shake { + -webkit-animation-name: fa-shake; + animation-name: fa-shake; + -webkit-animation-delay: var(--fa-animation-delay, 0s); + animation-delay: var(--fa-animation-delay, 0s); + -webkit-animation-direction: var(--fa-animation-direction, normal); + animation-direction: var(--fa-animation-direction, normal); + -webkit-animation-duration: var(--fa-animation-duration, 1s); + animation-duration: var(--fa-animation-duration, 1s); + -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite); + animation-iteration-count: var(--fa-animation-iteration-count, infinite); + -webkit-animation-timing-function: var(--fa-animation-timing, linear); + animation-timing-function: var(--fa-animation-timing, linear); } + +.fa-spin { + -webkit-animation-name: fa-spin; + animation-name: fa-spin; + -webkit-animation-delay: var(--fa-animation-delay, 0s); + animation-delay: var(--fa-animation-delay, 0s); + -webkit-animation-direction: var(--fa-animation-direction, normal); + animation-direction: var(--fa-animation-direction, normal); + -webkit-animation-duration: var(--fa-animation-duration, 2s); + animation-duration: var(--fa-animation-duration, 2s); + -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite); + animation-iteration-count: var(--fa-animation-iteration-count, infinite); + -webkit-animation-timing-function: var(--fa-animation-timing, linear); + animation-timing-function: var(--fa-animation-timing, linear); } + +.fa-spin-reverse { + --fa-animation-direction: reverse; } + +.fa-pulse, +.fa-spin-pulse { + -webkit-animation-name: fa-spin; + animation-name: fa-spin; + -webkit-animation-direction: var(--fa-animation-direction, normal); + animation-direction: var(--fa-animation-direction, normal); + -webkit-animation-duration: var(--fa-animation-duration, 1s); + animation-duration: var(--fa-animation-duration, 1s); + -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite); + animation-iteration-count: var(--fa-animation-iteration-count, infinite); + -webkit-animation-timing-function: var(--fa-animation-timing, steps(8)); + animation-timing-function: var(--fa-animation-timing, steps(8)); } + +@media (prefers-reduced-motion: reduce) { + .fa-beat, + .fa-bounce, + .fa-fade, + .fa-beat-fade, + .fa-flip, + .fa-pulse, + .fa-shake, + .fa-spin, + .fa-spin-pulse { + -webkit-animation-delay: -1ms; + animation-delay: -1ms; + -webkit-animation-duration: 1ms; + animation-duration: 1ms; + -webkit-animation-iteration-count: 1; + animation-iteration-count: 1; + -webkit-transition-delay: 0s; + transition-delay: 0s; + -webkit-transition-duration: 0s; + transition-duration: 0s; } } + +@-webkit-keyframes fa-beat { + 0%, 90% { + -webkit-transform: scale(1); + transform: scale(1); } + 45% { + -webkit-transform: scale(var(--fa-beat-scale, 1.25)); + transform: scale(var(--fa-beat-scale, 1.25)); } } + +@keyframes fa-beat { + 0%, 90% { + -webkit-transform: scale(1); + transform: scale(1); } + 45% { + -webkit-transform: scale(var(--fa-beat-scale, 1.25)); + transform: scale(var(--fa-beat-scale, 1.25)); } } + +@-webkit-keyframes fa-bounce { + 0% { + -webkit-transform: scale(1, 1) translateY(0); + transform: scale(1, 1) translateY(0); } + 10% { + -webkit-transform: scale(var(--fa-bounce-start-scale-x, 1.1), var(--fa-bounce-start-scale-y, 0.9)) translateY(0); + transform: scale(var(--fa-bounce-start-scale-x, 1.1), var(--fa-bounce-start-scale-y, 0.9)) translateY(0); } + 30% { + -webkit-transform: scale(var(--fa-bounce-jump-scale-x, 0.9), var(--fa-bounce-jump-scale-y, 1.1)) translateY(var(--fa-bounce-height, -0.5em)); + transform: scale(var(--fa-bounce-jump-scale-x, 0.9), var(--fa-bounce-jump-scale-y, 1.1)) translateY(var(--fa-bounce-height, -0.5em)); } + 50% { + -webkit-transform: scale(var(--fa-bounce-land-scale-x, 1.05), var(--fa-bounce-land-scale-y, 0.95)) translateY(0); + transform: scale(var(--fa-bounce-land-scale-x, 1.05), var(--fa-bounce-land-scale-y, 0.95)) translateY(0); } + 57% { + -webkit-transform: scale(1, 1) translateY(var(--fa-bounce-rebound, -0.125em)); + transform: scale(1, 1) translateY(var(--fa-bounce-rebound, -0.125em)); } + 64% { + -webkit-transform: scale(1, 1) translateY(0); + transform: scale(1, 1) translateY(0); } + 100% { + -webkit-transform: scale(1, 1) translateY(0); + transform: scale(1, 1) translateY(0); } } + +@keyframes fa-bounce { + 0% { + -webkit-transform: scale(1, 1) translateY(0); + transform: scale(1, 1) translateY(0); } + 10% { + -webkit-transform: scale(var(--fa-bounce-start-scale-x, 1.1), var(--fa-bounce-start-scale-y, 0.9)) translateY(0); + transform: scale(var(--fa-bounce-start-scale-x, 1.1), var(--fa-bounce-start-scale-y, 0.9)) translateY(0); } + 30% { + -webkit-transform: scale(var(--fa-bounce-jump-scale-x, 0.9), var(--fa-bounce-jump-scale-y, 1.1)) translateY(var(--fa-bounce-height, -0.5em)); + transform: scale(var(--fa-bounce-jump-scale-x, 0.9), var(--fa-bounce-jump-scale-y, 1.1)) translateY(var(--fa-bounce-height, -0.5em)); } + 50% { + -webkit-transform: scale(var(--fa-bounce-land-scale-x, 1.05), var(--fa-bounce-land-scale-y, 0.95)) translateY(0); + transform: scale(var(--fa-bounce-land-scale-x, 1.05), var(--fa-bounce-land-scale-y, 0.95)) translateY(0); } + 57% { + -webkit-transform: scale(1, 1) translateY(var(--fa-bounce-rebound, -0.125em)); + transform: scale(1, 1) translateY(var(--fa-bounce-rebound, -0.125em)); } + 64% { + -webkit-transform: scale(1, 1) translateY(0); + transform: scale(1, 1) translateY(0); } + 100% { + -webkit-transform: scale(1, 1) translateY(0); + transform: scale(1, 1) translateY(0); } } + +@-webkit-keyframes fa-fade { + 50% { + opacity: var(--fa-fade-opacity, 0.4); } } + +@keyframes fa-fade { + 50% { + opacity: var(--fa-fade-opacity, 0.4); } } + +@-webkit-keyframes fa-beat-fade { + 0%, 100% { + opacity: var(--fa-beat-fade-opacity, 0.4); + -webkit-transform: scale(1); + transform: scale(1); } + 50% { + opacity: 1; + -webkit-transform: scale(var(--fa-beat-fade-scale, 1.125)); + transform: scale(var(--fa-beat-fade-scale, 1.125)); } } + +@keyframes fa-beat-fade { + 0%, 100% { + opacity: var(--fa-beat-fade-opacity, 0.4); + -webkit-transform: scale(1); + transform: scale(1); } + 50% { + opacity: 1; + -webkit-transform: scale(var(--fa-beat-fade-scale, 1.125)); + transform: scale(var(--fa-beat-fade-scale, 1.125)); } } + +@-webkit-keyframes fa-flip { + 50% { + -webkit-transform: rotate3d(var(--fa-flip-x, 0), var(--fa-flip-y, 1), var(--fa-flip-z, 0), var(--fa-flip-angle, -180deg)); + transform: rotate3d(var(--fa-flip-x, 0), var(--fa-flip-y, 1), var(--fa-flip-z, 0), var(--fa-flip-angle, -180deg)); } } + +@keyframes fa-flip { + 50% { + -webkit-transform: rotate3d(var(--fa-flip-x, 0), var(--fa-flip-y, 1), var(--fa-flip-z, 0), var(--fa-flip-angle, -180deg)); + transform: rotate3d(var(--fa-flip-x, 0), var(--fa-flip-y, 1), var(--fa-flip-z, 0), var(--fa-flip-angle, -180deg)); } } + +@-webkit-keyframes fa-shake { + 0% { + -webkit-transform: rotate(-15deg); + transform: rotate(-15deg); } + 4% { + -webkit-transform: rotate(15deg); + transform: rotate(15deg); } + 8%, 24% { + -webkit-transform: rotate(-18deg); + transform: rotate(-18deg); } + 12%, 28% { + -webkit-transform: rotate(18deg); + transform: rotate(18deg); } + 16% { + -webkit-transform: rotate(-22deg); + transform: rotate(-22deg); } + 20% { + -webkit-transform: rotate(22deg); + transform: rotate(22deg); } + 32% { + -webkit-transform: rotate(-12deg); + transform: rotate(-12deg); } + 36% { + -webkit-transform: rotate(12deg); + transform: rotate(12deg); } + 40%, 100% { + -webkit-transform: rotate(0deg); + transform: rotate(0deg); } } + +@keyframes fa-shake { + 0% { + -webkit-transform: rotate(-15deg); + transform: rotate(-15deg); } + 4% { + -webkit-transform: rotate(15deg); + transform: rotate(15deg); } + 8%, 24% { + -webkit-transform: rotate(-18deg); + transform: rotate(-18deg); } + 12%, 28% { + -webkit-transform: rotate(18deg); + transform: rotate(18deg); } + 16% { + -webkit-transform: rotate(-22deg); + transform: rotate(-22deg); } + 20% { + -webkit-transform: rotate(22deg); + transform: rotate(22deg); } + 32% { + -webkit-transform: rotate(-12deg); + transform: rotate(-12deg); } + 36% { + -webkit-transform: rotate(12deg); + transform: rotate(12deg); } + 40%, 100% { + -webkit-transform: rotate(0deg); + transform: rotate(0deg); } } + +@-webkit-keyframes fa-spin { + 0% { + -webkit-transform: rotate(0deg); + transform: rotate(0deg); } + 100% { + -webkit-transform: rotate(360deg); + transform: rotate(360deg); } } + +@keyframes fa-spin { + 0% { + -webkit-transform: rotate(0deg); + transform: rotate(0deg); } + 100% { + -webkit-transform: rotate(360deg); + transform: rotate(360deg); } } + +.fa-rotate-90 { + -webkit-transform: rotate(90deg); + transform: rotate(90deg); } + +.fa-rotate-180 { + -webkit-transform: rotate(180deg); + transform: rotate(180deg); } + +.fa-rotate-270 { + -webkit-transform: rotate(270deg); + transform: rotate(270deg); } + +.fa-flip-horizontal { + -webkit-transform: scale(-1, 1); + transform: scale(-1, 1); } + +.fa-flip-vertical { + -webkit-transform: scale(1, -1); + transform: scale(1, -1); } + +.fa-flip-both, +.fa-flip-horizontal.fa-flip-vertical { + -webkit-transform: scale(-1, -1); + transform: scale(-1, -1); } + +.fa-rotate-by { + -webkit-transform: rotate(var(--fa-rotate-angle, none)); + transform: rotate(var(--fa-rotate-angle, none)); } + +.fa-stack { + display: inline-block; + height: 2em; + line-height: 2em; + position: relative; + vertical-align: middle; + width: 2.5em; } + +.fa-stack-1x, +.fa-stack-2x { + left: 0; + position: absolute; + text-align: center; + width: 100%; + z-index: var(--fa-stack-z-index, auto); } + +.fa-stack-1x { + line-height: inherit; } + +.fa-stack-2x { + font-size: 2em; } + +.fa-inverse { + color: var(--fa-inverse, #fff); } + +/* Font Awesome uses the Unicode Private Use Area (PUA) to ensure screen +readers do not read off random characters that represent icons */ + +.fa-0::before { + content: "\30"; } + +.fa-1::before { + content: "\31"; } + +.fa-2::before { + content: "\32"; } + +.fa-3::before { + content: "\33"; } + +.fa-4::before { + content: "\34"; } + +.fa-5::before { + content: "\35"; } + +.fa-6::before { + content: "\36"; } + +.fa-7::before { + content: "\37"; } + +.fa-8::before { + content: "\38"; } + +.fa-9::before { + content: "\39"; } + +.fa-fill-drip::before { + content: "\f576"; } + +.fa-arrows-to-circle::before { + content: "\e4bd"; } + +.fa-circle-chevron-right::before { + content: "\f138"; } + +.fa-chevron-circle-right::before { + content: "\f138"; } + +.fa-at::before { + content: "\40"; } + +.fa-trash-can::before { + content: "\f2ed"; } + +.fa-trash-alt::before { + content: "\f2ed"; } + +.fa-text-height::before { + content: "\f034"; } + +.fa-user-xmark::before { + content: "\f235"; } + +.fa-user-times::before { + content: "\f235"; } + +.fa-stethoscope::before { + content: "\f0f1"; } + +.fa-message::before { + content: "\f27a"; } + +.fa-comment-alt::before { + content: "\f27a"; } + +.fa-info::before { + content: "\f129"; } + +.fa-down-left-and-up-right-to-center::before { + content: "\f422"; } + +.fa-compress-alt::before { + content: "\f422"; } + +.fa-explosion::before { + content: "\e4e9"; } + +.fa-file-lines::before { + content: "\f15c"; } + +.fa-file-alt::before { + content: "\f15c"; } + +.fa-file-text::before { + content: "\f15c"; } + +.fa-wave-square::before { + content: "\f83e"; } + +.fa-ring::before { + content: "\f70b"; } + +.fa-building-un::before { + content: "\e4d9"; } + +.fa-dice-three::before { + content: "\f527"; } + +.fa-calendar-days::before { + content: "\f073"; } + +.fa-calendar-alt::before { + content: "\f073"; } + +.fa-anchor-circle-check::before { + content: "\e4aa"; } + +.fa-building-circle-arrow-right::before { + content: "\e4d1"; } + +.fa-volleyball::before { + content: "\f45f"; } + +.fa-volleyball-ball::before { + content: "\f45f"; } + +.fa-arrows-up-to-line::before { + content: "\e4c2"; } + +.fa-sort-down::before { + content: "\f0dd"; } + +.fa-sort-desc::before { + content: "\f0dd"; } + +.fa-circle-minus::before { + content: "\f056"; } + +.fa-minus-circle::before { + content: "\f056"; } + +.fa-door-open::before { + content: "\f52b"; } + +.fa-right-from-bracket::before { + content: "\f2f5"; } + +.fa-sign-out-alt::before { + content: "\f2f5"; } + +.fa-atom::before { + content: "\f5d2"; } + +.fa-soap::before { + content: "\e06e"; } + +.fa-icons::before { + content: "\f86d"; } + +.fa-heart-music-camera-bolt::before { + content: "\f86d"; } + +.fa-microphone-lines-slash::before { + content: "\f539"; } + +.fa-microphone-alt-slash::before { + content: "\f539"; } + +.fa-bridge-circle-check::before { + content: "\e4c9"; } + +.fa-pump-medical::before { + content: "\e06a"; } + +.fa-fingerprint::before { + content: "\f577"; } + +.fa-hand-point-right::before { + content: "\f0a4"; } + +.fa-magnifying-glass-location::before { + content: "\f689"; } + +.fa-search-location::before { + content: "\f689"; } + +.fa-forward-step::before { + content: "\f051"; } + +.fa-step-forward::before { + content: "\f051"; } + +.fa-face-smile-beam::before { + content: "\f5b8"; } + +.fa-smile-beam::before { + content: "\f5b8"; } + +.fa-flag-checkered::before { + content: "\f11e"; } + +.fa-football::before { + content: "\f44e"; } + +.fa-football-ball::before { + content: "\f44e"; } + +.fa-school-circle-exclamation::before { + content: "\e56c"; } + +.fa-crop::before { + content: "\f125"; } + +.fa-angles-down::before { + content: "\f103"; } + +.fa-angle-double-down::before { + content: "\f103"; } + +.fa-users-rectangle::before { + content: "\e594"; } + +.fa-people-roof::before { + content: "\e537"; } + +.fa-people-line::before { + content: "\e534"; } + +.fa-beer-mug-empty::before { + content: "\f0fc"; } + +.fa-beer::before { + content: "\f0fc"; } + +.fa-diagram-predecessor::before { + content: "\e477"; } + +.fa-arrow-up-long::before { + content: "\f176"; } + +.fa-long-arrow-up::before { + content: "\f176"; } + +.fa-fire-flame-simple::before { + content: "\f46a"; } + +.fa-burn::before { + content: "\f46a"; } + +.fa-person::before { + content: "\f183"; } + +.fa-male::before { + content: "\f183"; } + +.fa-laptop::before { + content: "\f109"; } + +.fa-file-csv::before { + content: "\f6dd"; } + +.fa-menorah::before { + content: "\f676"; } + +.fa-truck-plane::before { + content: "\e58f"; } + +.fa-record-vinyl::before { + content: "\f8d9"; } + +.fa-face-grin-stars::before { + content: "\f587"; } + +.fa-grin-stars::before { + content: "\f587"; } + +.fa-bong::before { + content: "\f55c"; } + +.fa-spaghetti-monster-flying::before { + content: "\f67b"; } + +.fa-pastafarianism::before { + content: "\f67b"; } + +.fa-arrow-down-up-across-line::before { + content: "\e4af"; } + +.fa-spoon::before { + content: "\f2e5"; } + +.fa-utensil-spoon::before { + content: "\f2e5"; } + +.fa-jar-wheat::before { + content: "\e517"; } + +.fa-envelopes-bulk::before { + content: "\f674"; } + +.fa-mail-bulk::before { + content: "\f674"; } + +.fa-file-circle-exclamation::before { + content: "\e4eb"; } + +.fa-circle-h::before { + content: "\f47e"; } + +.fa-hospital-symbol::before { + content: "\f47e"; } + +.fa-pager::before { + content: "\f815"; } + +.fa-address-book::before { + content: "\f2b9"; } + +.fa-contact-book::before { + content: "\f2b9"; } + +.fa-strikethrough::before { + content: "\f0cc"; } + +.fa-k::before { + content: "\4b"; } + +.fa-landmark-flag::before { + content: "\e51c"; } + +.fa-pencil::before { + content: "\f303"; } + +.fa-pencil-alt::before { + content: "\f303"; } + +.fa-backward::before { + content: "\f04a"; } + +.fa-caret-right::before { + content: "\f0da"; } + +.fa-comments::before { + content: "\f086"; } + +.fa-paste::before { + content: "\f0ea"; } + +.fa-file-clipboard::before { + content: "\f0ea"; } + +.fa-code-pull-request::before { + content: "\e13c"; } + +.fa-clipboard-list::before { + content: "\f46d"; } + +.fa-truck-ramp-box::before { + content: "\f4de"; } + +.fa-truck-loading::before { + content: "\f4de"; } + +.fa-user-check::before { + content: "\f4fc"; } + +.fa-vial-virus::before { + content: "\e597"; } + +.fa-sheet-plastic::before { + content: "\e571"; } + +.fa-blog::before { + content: "\f781"; } + +.fa-user-ninja::before { + content: "\f504"; } + +.fa-person-arrow-up-from-line::before { + content: "\e539"; } + +.fa-scroll-torah::before { + content: "\f6a0"; } + +.fa-torah::before { + content: "\f6a0"; } + +.fa-broom-ball::before { + content: "\f458"; } + +.fa-quidditch::before { + content: "\f458"; } + +.fa-quidditch-broom-ball::before { + content: "\f458"; } + +.fa-toggle-off::before { + content: "\f204"; } + +.fa-box-archive::before { + content: "\f187"; } + +.fa-archive::before { + content: "\f187"; } + +.fa-person-drowning::before { + content: "\e545"; } + +.fa-arrow-down-9-1::before { + content: "\f886"; } + +.fa-sort-numeric-desc::before { + content: "\f886"; } + +.fa-sort-numeric-down-alt::before { + content: "\f886"; } + +.fa-face-grin-tongue-squint::before { + content: "\f58a"; } + +.fa-grin-tongue-squint::before { + content: "\f58a"; } + +.fa-spray-can::before { + content: "\f5bd"; } + +.fa-truck-monster::before { + content: "\f63b"; } + +.fa-w::before { + content: "\57"; } + +.fa-earth-africa::before { + content: "\f57c"; } + +.fa-globe-africa::before { + content: "\f57c"; } + +.fa-rainbow::before { + content: "\f75b"; } + +.fa-circle-notch::before { + content: "\f1ce"; } + +.fa-tablet-screen-button::before { + content: "\f3fa"; } + +.fa-tablet-alt::before { + content: "\f3fa"; } + +.fa-paw::before { + content: "\f1b0"; } + +.fa-cloud::before { + content: "\f0c2"; } + +.fa-trowel-bricks::before { + content: "\e58a"; } + +.fa-face-flushed::before { + content: "\f579"; } + +.fa-flushed::before { + content: "\f579"; } + +.fa-hospital-user::before { + content: "\f80d"; } + +.fa-tent-arrow-left-right::before { + content: "\e57f"; } + +.fa-gavel::before { + content: "\f0e3"; } + +.fa-legal::before { + content: "\f0e3"; } + +.fa-binoculars::before { + content: "\f1e5"; } + +.fa-microphone-slash::before { + content: "\f131"; } + +.fa-box-tissue::before { + content: "\e05b"; } + +.fa-motorcycle::before { + content: "\f21c"; } + +.fa-bell-concierge::before { + content: "\f562"; } + +.fa-concierge-bell::before { + content: "\f562"; } + +.fa-pen-ruler::before { + content: "\f5ae"; } + +.fa-pencil-ruler::before { + content: "\f5ae"; } + +.fa-people-arrows::before { + content: "\e068"; } + +.fa-people-arrows-left-right::before { + content: "\e068"; } + +.fa-mars-and-venus-burst::before { + content: "\e523"; } + +.fa-square-caret-right::before { + content: "\f152"; } + +.fa-caret-square-right::before { + content: "\f152"; } + +.fa-scissors::before { + content: "\f0c4"; } + +.fa-cut::before { + content: "\f0c4"; } + +.fa-sun-plant-wilt::before { + content: "\e57a"; } + +.fa-toilets-portable::before { + content: "\e584"; } + +.fa-hockey-puck::before { + content: "\f453"; } + +.fa-table::before { + content: "\f0ce"; } + +.fa-magnifying-glass-arrow-right::before { + content: "\e521"; } + +.fa-tachograph-digital::before { + content: "\f566"; } + +.fa-digital-tachograph::before { + content: "\f566"; } + +.fa-users-slash::before { + content: "\e073"; } + +.fa-clover::before { + content: "\e139"; } + +.fa-reply::before { + content: "\f3e5"; } + +.fa-mail-reply::before { + content: "\f3e5"; } + +.fa-star-and-crescent::before { + content: "\f699"; } + +.fa-house-fire::before { + content: "\e50c"; } + +.fa-square-minus::before { + content: "\f146"; } + +.fa-minus-square::before { + content: "\f146"; } + +.fa-helicopter::before { + content: "\f533"; } + +.fa-compass::before { + content: "\f14e"; } + +.fa-square-caret-down::before { + content: "\f150"; } + +.fa-caret-square-down::before { + content: "\f150"; } + +.fa-file-circle-question::before { + content: "\e4ef"; } + +.fa-laptop-code::before { + content: "\f5fc"; } + +.fa-swatchbook::before { + content: "\f5c3"; } + +.fa-prescription-bottle::before { + content: "\f485"; } + +.fa-bars::before { + content: "\f0c9"; } + +.fa-navicon::before { + content: "\f0c9"; } + +.fa-people-group::before { + content: "\e533"; } + +.fa-hourglass-end::before { + content: "\f253"; } + +.fa-hourglass-3::before { + content: "\f253"; } + +.fa-heart-crack::before { + content: "\f7a9"; } + +.fa-heart-broken::before { + content: "\f7a9"; } + +.fa-square-up-right::before { + content: "\f360"; } + +.fa-external-link-square-alt::before { + content: "\f360"; } + +.fa-face-kiss-beam::before { + content: "\f597"; } + +.fa-kiss-beam::before { + content: "\f597"; } + +.fa-film::before { + content: "\f008"; } + +.fa-ruler-horizontal::before { + content: "\f547"; } + +.fa-people-robbery::before { + content: "\e536"; } + +.fa-lightbulb::before { + content: "\f0eb"; } + +.fa-caret-left::before { + content: "\f0d9"; } + +.fa-circle-exclamation::before { + content: "\f06a"; } + +.fa-exclamation-circle::before { + content: "\f06a"; } + +.fa-school-circle-xmark::before { + content: "\e56d"; } + +.fa-arrow-right-from-bracket::before { + content: "\f08b"; } + +.fa-sign-out::before { + content: "\f08b"; } + +.fa-circle-chevron-down::before { + content: "\f13a"; } + +.fa-chevron-circle-down::before { + content: "\f13a"; } + +.fa-unlock-keyhole::before { + content: "\f13e"; } + +.fa-unlock-alt::before { + content: "\f13e"; } + +.fa-cloud-showers-heavy::before { + content: "\f740"; } + +.fa-headphones-simple::before { + content: "\f58f"; } + +.fa-headphones-alt::before { + content: "\f58f"; } + +.fa-sitemap::before { + content: "\f0e8"; } + +.fa-circle-dollar-to-slot::before { + content: "\f4b9"; } + +.fa-donate::before { + content: "\f4b9"; } + +.fa-memory::before { + content: "\f538"; } + +.fa-road-spikes::before { + content: "\e568"; } + +.fa-fire-burner::before { + content: "\e4f1"; } + +.fa-flag::before { + content: "\f024"; } + +.fa-hanukiah::before { + content: "\f6e6"; } + +.fa-feather::before { + content: "\f52d"; } + +.fa-volume-low::before { + content: "\f027"; } + +.fa-volume-down::before { + content: "\f027"; } + +.fa-comment-slash::before { + content: "\f4b3"; } + +.fa-cloud-sun-rain::before { + content: "\f743"; } + +.fa-compress::before { + content: "\f066"; } + +.fa-wheat-awn::before { + content: "\e2cd"; } + +.fa-wheat-alt::before { + content: "\e2cd"; } + +.fa-ankh::before { + content: "\f644"; } + +.fa-hands-holding-child::before { + content: "\e4fa"; } + +.fa-asterisk::before { + content: "\2a"; } + +.fa-square-check::before { + content: "\f14a"; } + +.fa-check-square::before { + content: "\f14a"; } + +.fa-peseta-sign::before { + content: "\e221"; } + +.fa-heading::before { + content: "\f1dc"; } + +.fa-header::before { + content: "\f1dc"; } + +.fa-ghost::before { + content: "\f6e2"; } + +.fa-list::before { + content: "\f03a"; } + +.fa-list-squares::before { + content: "\f03a"; } + +.fa-square-phone-flip::before { + content: "\f87b"; } + +.fa-phone-square-alt::before { + content: "\f87b"; } + +.fa-cart-plus::before { + content: "\f217"; } + +.fa-gamepad::before { + content: "\f11b"; } + +.fa-circle-dot::before { + content: "\f192"; } + +.fa-dot-circle::before { + content: "\f192"; } + +.fa-face-dizzy::before { + content: "\f567"; } + +.fa-dizzy::before { + content: "\f567"; } + +.fa-egg::before { + content: "\f7fb"; } + +.fa-house-medical-circle-xmark::before { + content: "\e513"; } + +.fa-campground::before { + content: "\f6bb"; } + +.fa-folder-plus::before { + content: "\f65e"; } + +.fa-futbol::before { + content: "\f1e3"; } + +.fa-futbol-ball::before { + content: "\f1e3"; } + +.fa-soccer-ball::before { + content: "\f1e3"; } + +.fa-paintbrush::before { + content: "\f1fc"; } + +.fa-paint-brush::before { + content: "\f1fc"; } + +.fa-lock::before { + content: "\f023"; } + +.fa-gas-pump::before { + content: "\f52f"; } + +.fa-hot-tub-person::before { + content: "\f593"; } + +.fa-hot-tub::before { + content: "\f593"; } + +.fa-map-location::before { + content: "\f59f"; } + +.fa-map-marked::before { + content: "\f59f"; } + +.fa-house-flood-water::before { + content: "\e50e"; } + +.fa-tree::before { + content: "\f1bb"; } + +.fa-bridge-lock::before { + content: "\e4cc"; } + +.fa-sack-dollar::before { + content: "\f81d"; } + +.fa-pen-to-square::before { + content: "\f044"; } + +.fa-edit::before { + content: "\f044"; } + +.fa-car-side::before { + content: "\f5e4"; } + +.fa-share-nodes::before { + content: "\f1e0"; } + +.fa-share-alt::before { + content: "\f1e0"; } + +.fa-heart-circle-minus::before { + content: "\e4ff"; } + +.fa-hourglass-half::before { + content: "\f252"; } + +.fa-hourglass-2::before { + content: "\f252"; } + +.fa-microscope::before { + content: "\f610"; } + +.fa-sink::before { + content: "\e06d"; } + +.fa-bag-shopping::before { + content: "\f290"; } + +.fa-shopping-bag::before { + content: "\f290"; } + +.fa-arrow-down-z-a::before { + content: "\f881"; } + +.fa-sort-alpha-desc::before { + content: "\f881"; } + +.fa-sort-alpha-down-alt::before { + content: "\f881"; } + +.fa-mitten::before { + content: "\f7b5"; } + 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} + +.fa-kaaba::before { + content: "\f66b"; } + +.fa-toilet-paper::before { + content: "\f71e"; } + +.fa-helmet-safety::before { + content: "\f807"; } + +.fa-hard-hat::before { + content: "\f807"; } + +.fa-hat-hard::before { + content: "\f807"; } + +.fa-eject::before { + content: "\f052"; } + +.fa-circle-right::before { + content: "\f35a"; } + +.fa-arrow-alt-circle-right::before { + content: "\f35a"; } + +.fa-plane-circle-check::before { + content: "\e555"; } + +.fa-face-rolling-eyes::before { + content: "\f5a5"; } + +.fa-meh-rolling-eyes::before { + content: "\f5a5"; } + +.fa-object-group::before { + content: "\f247"; } + +.fa-chart-line::before { + content: "\f201"; } + +.fa-line-chart::before { + content: "\f201"; } + +.fa-mask-ventilator::before { + content: "\e524"; } + +.fa-arrow-right::before { + content: "\f061"; } + +.fa-signs-post::before { + content: "\f277"; } + +.fa-map-signs::before { + content: "\f277"; } + +.fa-cash-register::before { + content: "\f788"; } + 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content: "\f885"; } + +.fa-house-medical::before { + content: "\e3b2"; } + +.fa-golf-ball-tee::before { + content: "\f450"; } + +.fa-golf-ball::before { + content: "\f450"; } + +.fa-circle-chevron-left::before { + content: "\f137"; } + +.fa-chevron-circle-left::before { + content: "\f137"; } + +.fa-house-chimney-window::before { + content: "\e00d"; } + +.fa-pen-nib::before { + content: "\f5ad"; } + +.fa-tent-arrow-turn-left::before { + content: "\e580"; } + +.fa-tents::before { + content: "\e582"; } + +.fa-wand-magic::before { + content: "\f0d0"; } + +.fa-magic::before { + content: "\f0d0"; } + +.fa-dog::before { + content: "\f6d3"; } + +.fa-carrot::before { + content: "\f787"; } + +.fa-moon::before { + content: "\f186"; } + +.fa-wine-glass-empty::before { + content: "\f5ce"; } + +.fa-wine-glass-alt::before { + content: "\f5ce"; } + +.fa-cheese::before { + content: "\f7ef"; } + +.fa-yin-yang::before { + content: "\f6ad"; } + +.fa-music::before { + content: "\f001"; } + 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{ + content: "\f234"; } + +.fa-check::before { + content: "\f00c"; } + +.fa-battery-three-quarters::before { + content: "\f241"; } + +.fa-battery-4::before { + content: "\f241"; } + +.fa-house-circle-check::before { + content: "\e509"; } + +.fa-angle-left::before { + content: "\f104"; } + +.fa-diagram-successor::before { + content: "\e47a"; } + +.fa-truck-arrow-right::before { + content: "\e58b"; } + +.fa-arrows-split-up-and-left::before { + content: "\e4bc"; } + +.fa-hand-fist::before { + content: "\f6de"; } + +.fa-fist-raised::before { + content: "\f6de"; } + +.fa-cloud-moon::before { + content: "\f6c3"; } + +.fa-briefcase::before { + content: "\f0b1"; } + +.fa-person-falling::before { + content: "\e546"; } + +.fa-image-portrait::before { + content: "\f3e0"; } + +.fa-portrait::before { + content: "\f3e0"; } + +.fa-user-tag::before { + content: "\f507"; } + +.fa-rug::before { + content: "\e569"; } + +.fa-earth-europe::before { + content: "\f7a2"; } + +.fa-globe-europe::before { + content: "\f7a2"; } + +.fa-cart-flatbed-suitcase::before { + content: "\f59d"; } + +.fa-luggage-cart::before { + content: "\f59d"; } + +.fa-rectangle-xmark::before { + content: "\f410"; } + +.fa-rectangle-times::before { + content: "\f410"; } + +.fa-times-rectangle::before { + content: "\f410"; } + +.fa-window-close::before { + content: "\f410"; } + +.fa-baht-sign::before { + content: "\e0ac"; } + +.fa-book-open::before { + content: "\f518"; } + +.fa-book-journal-whills::before { + content: "\f66a"; } + +.fa-journal-whills::before { + content: "\f66a"; } + +.fa-handcuffs::before { + content: "\e4f8"; } + +.fa-triangle-exclamation::before { + content: "\f071"; } + +.fa-exclamation-triangle::before { + content: "\f071"; } + +.fa-warning::before { + content: "\f071"; } + +.fa-database::before { + content: "\f1c0"; } + +.fa-share::before { + content: "\f064"; } + +.fa-arrow-turn-right::before { + content: "\f064"; } + +.fa-mail-forward::before { + content: "\f064"; } + 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+.fa-xmark-circle::before { + content: "\f057"; } + +.fa-gifts::before { + content: "\f79c"; } + +.fa-hotel::before { + content: "\f594"; } + +.fa-earth-asia::before { + content: "\f57e"; } + +.fa-globe-asia::before { + content: "\f57e"; } + +.fa-id-card-clip::before { + content: "\f47f"; } + +.fa-id-card-alt::before { + content: "\f47f"; } + +.fa-magnifying-glass-plus::before { + content: "\f00e"; } + +.fa-search-plus::before { + content: "\f00e"; } + +.fa-thumbs-up::before { + content: "\f164"; } + +.fa-user-clock::before { + content: "\f4fd"; } + +.fa-hand-dots::before { + content: "\f461"; } + +.fa-allergies::before { + content: "\f461"; } + +.fa-file-invoice::before { + content: "\f570"; } + +.fa-window-minimize::before { + content: "\f2d1"; } + +.fa-mug-saucer::before { + content: "\f0f4"; } + +.fa-coffee::before { + content: "\f0f4"; } + +.fa-brush::before { + content: "\f55d"; } + +.fa-mask::before { + content: "\f6fa"; } + +.fa-magnifying-glass-minus::before { + content: "\f010"; } + +.fa-search-minus::before { + content: "\f010"; } + +.fa-ruler-vertical::before { + content: "\f548"; } + +.fa-user-large::before { + content: "\f406"; } + +.fa-user-alt::before { + content: "\f406"; } + +.fa-train-tram::before { + content: "\e5b4"; } + +.fa-user-nurse::before { + content: "\f82f"; } + +.fa-syringe::before { + content: "\f48e"; } + +.fa-cloud-sun::before { + content: "\f6c4"; } + +.fa-stopwatch-20::before { + content: "\e06f"; } + +.fa-square-full::before { + content: "\f45c"; } + +.fa-magnet::before { + content: "\f076"; } + +.fa-jar::before { + content: "\e516"; } + +.fa-note-sticky::before { + content: "\f249"; } + +.fa-sticky-note::before { + content: "\f249"; } + +.fa-bug-slash::before { + content: "\e490"; } + +.fa-arrow-up-from-water-pump::before { + content: "\e4b6"; } + +.fa-bone::before { + content: "\f5d7"; } + +.fa-user-injured::before { + content: "\f728"; } + +.fa-face-sad-tear::before { + content: "\f5b4"; } + +.fa-sad-tear::before { + content: "\f5b4"; } + +.fa-plane::before { + content: "\f072"; } + +.fa-tent-arrows-down::before { + content: "\e581"; } + +.fa-exclamation::before { + content: "\21"; } + +.fa-arrows-spin::before { + content: "\e4bb"; } + +.fa-print::before { + content: "\f02f"; } + +.fa-turkish-lira-sign::before { + content: "\e2bb"; } + +.fa-try::before { + content: "\e2bb"; } + +.fa-turkish-lira::before { + content: "\e2bb"; } + +.fa-dollar-sign::before { + content: "\24"; } + +.fa-dollar::before { + content: "\24"; } + +.fa-usd::before { + content: "\24"; } + +.fa-x::before { + content: "\58"; } + +.fa-magnifying-glass-dollar::before { + content: "\f688"; } + +.fa-search-dollar::before { + content: "\f688"; } + +.fa-users-gear::before { + content: "\f509"; } + +.fa-users-cog::before { + content: "\f509"; } + +.fa-person-military-pointing::before { + content: "\e54a"; } + +.fa-building-columns::before { + content: "\f19c"; } + +.fa-bank::before { + content: "\f19c"; } + +.fa-institution::before { + content: "\f19c"; } + +.fa-museum::before { + content: "\f19c"; } + +.fa-university::before { + content: "\f19c"; } + +.fa-umbrella::before { + content: "\f0e9"; } + +.fa-trowel::before { + content: "\e589"; } + +.fa-d::before { + content: "\44"; } + +.fa-stapler::before { + content: "\e5af"; } + +.fa-masks-theater::before { + content: "\f630"; } + +.fa-theater-masks::before { + content: "\f630"; } + +.fa-kip-sign::before { + content: "\e1c4"; } + +.fa-hand-point-left::before { + content: "\f0a5"; } + +.fa-handshake-simple::before { + content: "\f4c6"; } + +.fa-handshake-alt::before { + content: "\f4c6"; } + +.fa-jet-fighter::before { + content: "\f0fb"; } + +.fa-fighter-jet::before { + content: "\f0fb"; } + +.fa-square-share-nodes::before { + content: "\f1e1"; } + +.fa-share-alt-square::before { + content: "\f1e1"; } + +.fa-barcode::before { + content: "\f02a"; } + +.fa-plus-minus::before { + content: "\e43c"; } + +.fa-video::before { + content: "\f03d"; } + +.fa-video-camera::before { + content: "\f03d"; } + +.fa-graduation-cap::before { + content: "\f19d"; } + +.fa-mortar-board::before { + content: "\f19d"; } + +.fa-hand-holding-medical::before { + content: "\e05c"; } + +.fa-person-circle-check::before { + content: "\e53e"; } + +.fa-turn-up::before { + content: "\f3bf"; } + +.fa-level-up-alt::before { + content: "\f3bf"; } + +.sr-only, +.fa-sr-only { + position: absolute; + width: 1px; + height: 1px; + padding: 0; + margin: -1px; + overflow: hidden; + clip: rect(0, 0, 0, 0); + white-space: nowrap; + border-width: 0; } + +.sr-only-focusable:not(:focus), +.fa-sr-only-focusable:not(:focus) { + position: absolute; + width: 1px; + height: 1px; + padding: 0; + margin: -1px; + overflow: hidden; + clip: rect(0, 0, 0, 0); + white-space: nowrap; + border-width: 0; } +:root, :host { + --fa-style-family-brands: 'Font Awesome 6 Brands'; + --fa-font-brands: normal 400 1em/1 'Font Awesome 6 Brands'; } + +@font-face { + font-family: 'Font Awesome 6 Brands'; + font-style: normal; + font-weight: 400; + font-display: block; + src: url("../webfonts/fa-brands-400.woff2") format("woff2"), url("../webfonts/fa-brands-400.ttf") format("truetype"); } + +.fab, +.fa-brands { + font-weight: 400; } + +.fa-monero:before { + content: "\f3d0"; } + +.fa-hooli:before { + content: "\f427"; } + +.fa-yelp:before { + content: "\f1e9"; } + +.fa-cc-visa:before { + content: "\f1f0"; } + +.fa-lastfm:before { + content: "\f202"; } + +.fa-shopware:before { + content: "\f5b5"; } + +.fa-creative-commons-nc:before { + content: "\f4e8"; } + +.fa-aws:before { + content: "\f375"; } + +.fa-redhat:before { + content: "\f7bc"; } + +.fa-yoast:before { + content: "\f2b1"; } + +.fa-cloudflare:before { + content: "\e07d"; } + +.fa-ups:before { + content: "\f7e0"; } + +.fa-wpexplorer:before { + content: "\f2de"; } + +.fa-dyalog:before { + content: "\f399"; } + +.fa-bity:before { + content: "\f37a"; } + +.fa-stackpath:before { + content: "\f842"; } + +.fa-buysellads:before { + content: "\f20d"; } + +.fa-first-order:before { + content: "\f2b0"; } + +.fa-modx:before { + content: "\f285"; } + +.fa-guilded:before { + content: "\e07e"; } + +.fa-vnv:before { + content: "\f40b"; } + +.fa-square-js:before { + content: "\f3b9"; } + +.fa-js-square:before { + content: "\f3b9"; } + +.fa-microsoft:before { + content: "\f3ca"; } + +.fa-qq:before { + content: "\f1d6"; } + +.fa-orcid:before { + content: "\f8d2"; } + +.fa-java:before { + content: "\f4e4"; } + +.fa-invision:before { + content: "\f7b0"; } + +.fa-creative-commons-pd-alt:before { + content: "\f4ed"; } + +.fa-centercode:before { + content: "\f380"; } + +.fa-glide-g:before { + content: "\f2a6"; } + +.fa-drupal:before { + content: "\f1a9"; } + +.fa-hire-a-helper:before { + content: "\f3b0"; } + +.fa-creative-commons-by:before { + content: "\f4e7"; } + +.fa-unity:before { + content: "\e049"; } + +.fa-whmcs:before { + content: "\f40d"; } + +.fa-rocketchat:before { + content: "\f3e8"; } + +.fa-vk:before { + content: "\f189"; } + 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+.fa-snapchat-square:before { + content: "\f2ad"; } + +.fa-google-plus-g:before { + content: "\f0d5"; } + +.fa-artstation:before { + content: "\f77a"; } + +.fa-markdown:before { + content: "\f60f"; } + +.fa-sourcetree:before { + content: "\f7d3"; } + +.fa-google-plus:before { + content: "\f2b3"; } + +.fa-diaspora:before { + content: "\f791"; } + +.fa-foursquare:before { + content: "\f180"; } + +.fa-stack-overflow:before { + content: "\f16c"; } + +.fa-github-alt:before { + content: "\f113"; } + +.fa-phoenix-squadron:before { + content: "\f511"; } + +.fa-pagelines:before { + content: "\f18c"; } + +.fa-algolia:before { + content: "\f36c"; } + +.fa-red-river:before { + content: "\f3e3"; } + +.fa-creative-commons-sa:before { + content: "\f4ef"; } + +.fa-safari:before { + content: "\f267"; } + +.fa-google:before { + content: "\f1a0"; } + +.fa-square-font-awesome-stroke:before { + content: "\f35c"; } + +.fa-font-awesome-alt:before { + content: "\f35c"; } + +.fa-atlassian:before { + content: 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+.fa.fa-thumb-tack:before { + content: "\f08d"; } + +.fa.fa-external-link:before { + content: "\f35d"; } + +.fa.fa-sign-in:before { + content: "\f2f6"; } + +.fa.fa-github-square { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-github-square:before { + content: "\f092"; } + +.fa.fa-lemon-o { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-lemon-o:before { + content: "\f094"; } + +.fa.fa-square-o { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-square-o:before { + content: "\f0c8"; } + +.fa.fa-bookmark-o { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-bookmark-o:before { + content: "\f02e"; } + +.fa.fa-twitter { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-facebook { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-facebook:before { + content: "\f39e"; } + +.fa.fa-facebook-f { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-facebook-f:before { + content: "\f39e"; } + +.fa.fa-github { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-credit-card { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-feed:before { + content: "\f09e"; } + +.fa.fa-hdd-o { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-hdd-o:before { + content: "\f0a0"; } + +.fa.fa-hand-o-right { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-hand-o-right:before { + content: "\f0a4"; } + +.fa.fa-hand-o-left { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-hand-o-left:before { + content: "\f0a5"; } + +.fa.fa-hand-o-up { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-hand-o-up:before { + content: "\f0a6"; } + +.fa.fa-hand-o-down { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-hand-o-down:before { + content: "\f0a7"; } + +.fa.fa-globe:before { + content: "\f57d"; } + +.fa.fa-tasks:before { + content: "\f828"; } + +.fa.fa-arrows-alt:before { + content: "\f31e"; } + +.fa.fa-group:before { + content: "\f0c0"; } + +.fa.fa-chain:before { + content: "\f0c1"; } + +.fa.fa-cut:before { + content: "\f0c4"; } + +.fa.fa-files-o { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-files-o:before { + content: "\f0c5"; } + +.fa.fa-floppy-o { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-floppy-o:before { + content: "\f0c7"; } + +.fa.fa-save { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-save:before { + content: "\f0c7"; } + +.fa.fa-navicon:before { + content: "\f0c9"; } + +.fa.fa-reorder:before { + content: "\f0c9"; } + +.fa.fa-magic:before { + content: "\e2ca"; } + +.fa.fa-pinterest { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-pinterest-square { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-pinterest-square:before { + content: "\f0d3"; } + +.fa.fa-google-plus-square { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-google-plus-square:before { + content: "\f0d4"; } + +.fa.fa-google-plus { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-google-plus:before { + content: "\f0d5"; } + +.fa.fa-money:before { + content: "\f3d1"; } + +.fa.fa-unsorted:before { + content: "\f0dc"; } + +.fa.fa-sort-desc:before { + content: "\f0dd"; } + +.fa.fa-sort-asc:before { + content: "\f0de"; } + +.fa.fa-linkedin { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-linkedin:before { + content: "\f0e1"; } + +.fa.fa-rotate-left:before { + content: "\f0e2"; } + +.fa.fa-legal:before { + content: "\f0e3"; } + +.fa.fa-tachometer:before { + content: "\f625"; } + +.fa.fa-dashboard:before { + content: "\f625"; } + +.fa.fa-comment-o { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-comment-o:before { + content: "\f075"; } + +.fa.fa-comments-o { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-comments-o:before { + content: "\f086"; } + +.fa.fa-flash:before { + content: "\f0e7"; } + +.fa.fa-clipboard:before { + content: "\f0ea"; } + +.fa.fa-lightbulb-o { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-lightbulb-o:before { + content: "\f0eb"; } + +.fa.fa-exchange:before { + content: "\f362"; } + +.fa.fa-cloud-download:before { + content: "\f0ed"; } + +.fa.fa-cloud-upload:before { + content: "\f0ee"; } + +.fa.fa-bell-o { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-bell-o:before { + content: "\f0f3"; } + +.fa.fa-cutlery:before { + content: "\f2e7"; } + +.fa.fa-file-text-o { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-file-text-o:before { + content: "\f15c"; } + +.fa.fa-building-o { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-building-o:before { + content: "\f1ad"; } + +.fa.fa-hospital-o { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-hospital-o:before { + content: "\f0f8"; } + +.fa.fa-tablet:before { + content: "\f3fa"; } + +.fa.fa-mobile:before { + content: "\f3cd"; } + +.fa.fa-mobile-phone:before { + content: "\f3cd"; } + +.fa.fa-circle-o { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-circle-o:before { + content: "\f111"; } + +.fa.fa-mail-reply:before { + content: "\f3e5"; } + +.fa.fa-github-alt { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-folder-o { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-folder-o:before { + content: "\f07b"; } + +.fa.fa-folder-open-o { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-folder-open-o:before { + content: "\f07c"; } + +.fa.fa-smile-o { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-smile-o:before { + content: "\f118"; } + +.fa.fa-frown-o { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-frown-o:before { + content: "\f119"; } + +.fa.fa-meh-o { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-meh-o:before { + content: "\f11a"; } + +.fa.fa-keyboard-o { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-keyboard-o:before { + content: "\f11c"; } + +.fa.fa-flag-o { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-flag-o:before { + content: "\f024"; } + +.fa.fa-mail-reply-all:before { + content: "\f122"; } + +.fa.fa-star-half-o { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-star-half-o:before { + content: "\f5c0"; } + +.fa.fa-star-half-empty { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-star-half-empty:before { + content: "\f5c0"; } + +.fa.fa-star-half-full { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-star-half-full:before { + content: "\f5c0"; } + +.fa.fa-code-fork:before { + content: "\f126"; } + +.fa.fa-chain-broken:before { + content: "\f127"; } + +.fa.fa-unlink:before { + content: "\f127"; } + +.fa.fa-calendar-o { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-calendar-o:before { + content: "\f133"; } + +.fa.fa-maxcdn { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-html5 { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-css3 { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-unlock-alt:before { + content: "\f09c"; } + +.fa.fa-minus-square-o { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-minus-square-o:before { + content: "\f146"; } + +.fa.fa-level-up:before { + content: "\f3bf"; } + +.fa.fa-level-down:before { + content: "\f3be"; } + +.fa.fa-pencil-square:before { + content: "\f14b"; } + +.fa.fa-external-link-square:before { + content: "\f360"; } + +.fa.fa-compass { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-caret-square-o-down { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-caret-square-o-down:before { + content: "\f150"; } + +.fa.fa-toggle-down { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-toggle-down:before { + content: "\f150"; } + +.fa.fa-caret-square-o-up { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-caret-square-o-up:before { + content: "\f151"; } + +.fa.fa-toggle-up { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-toggle-up:before { + content: "\f151"; } + +.fa.fa-caret-square-o-right { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-caret-square-o-right:before { + content: "\f152"; } + +.fa.fa-toggle-right { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-toggle-right:before { + content: "\f152"; } + +.fa.fa-eur:before { + content: "\f153"; } + +.fa.fa-euro:before { + content: "\f153"; } + +.fa.fa-gbp:before { + content: "\f154"; } + +.fa.fa-usd:before { + content: "\24"; } + +.fa.fa-dollar:before { + content: "\24"; } + +.fa.fa-inr:before { + content: "\e1bc"; } + +.fa.fa-rupee:before { + content: "\e1bc"; } + +.fa.fa-jpy:before { + content: "\f157"; } + +.fa.fa-cny:before { + content: "\f157"; } + +.fa.fa-rmb:before { + content: "\f157"; } + +.fa.fa-yen:before { + content: "\f157"; } + +.fa.fa-rub:before { + content: "\f158"; } + +.fa.fa-ruble:before { + content: "\f158"; } + +.fa.fa-rouble:before { + content: "\f158"; } + +.fa.fa-krw:before { + content: "\f159"; } + +.fa.fa-won:before { + content: "\f159"; } + +.fa.fa-btc { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-bitcoin { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-bitcoin:before { + content: "\f15a"; } + +.fa.fa-file-text:before { + content: "\f15c"; } + +.fa.fa-sort-alpha-asc:before { + content: "\f15d"; } + +.fa.fa-sort-alpha-desc:before { + content: "\f881"; } + +.fa.fa-sort-amount-asc:before { + content: "\f884"; } + +.fa.fa-sort-amount-desc:before { + content: "\f160"; } + +.fa.fa-sort-numeric-asc:before { + content: "\f162"; } + +.fa.fa-sort-numeric-desc:before { + content: "\f886"; } + +.fa.fa-youtube-square { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-youtube-square:before { + content: "\f431"; } + +.fa.fa-youtube { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-xing { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-xing-square { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-xing-square:before { + content: "\f169"; } + +.fa.fa-youtube-play { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-youtube-play:before { + content: "\f167"; } + +.fa.fa-dropbox { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-stack-overflow { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-instagram { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-flickr { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-adn { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-bitbucket { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-bitbucket-square { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-bitbucket-square:before { + content: "\f171"; } + +.fa.fa-tumblr { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-tumblr-square { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-tumblr-square:before { + content: "\f174"; } + +.fa.fa-long-arrow-down:before { + content: "\f309"; } + +.fa.fa-long-arrow-up:before { + content: "\f30c"; } + +.fa.fa-long-arrow-left:before { + content: "\f30a"; } + +.fa.fa-long-arrow-right:before { + content: "\f30b"; } + +.fa.fa-apple { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-windows { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-android { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-linux { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-dribbble { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-skype { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-foursquare { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-trello { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-gratipay { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-gittip { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-gittip:before { + content: "\f184"; } + +.fa.fa-sun-o { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-sun-o:before { + content: "\f185"; } + +.fa.fa-moon-o { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-moon-o:before { + content: "\f186"; } + +.fa.fa-vk { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-weibo { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-renren { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-pagelines { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-stack-exchange { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-arrow-circle-o-right { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-arrow-circle-o-right:before { + content: "\f35a"; } + +.fa.fa-arrow-circle-o-left { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-arrow-circle-o-left:before { + content: "\f359"; } + +.fa.fa-caret-square-o-left { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-caret-square-o-left:before { + content: "\f191"; } + +.fa.fa-toggle-left { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-toggle-left:before { + content: "\f191"; } + +.fa.fa-dot-circle-o { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-dot-circle-o:before { + content: "\f192"; } + +.fa.fa-vimeo-square { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-vimeo-square:before { + content: "\f194"; } + +.fa.fa-try:before { + content: "\e2bb"; } + +.fa.fa-turkish-lira:before { + content: "\e2bb"; } + +.fa.fa-plus-square-o { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-plus-square-o:before { + content: "\f0fe"; } + +.fa.fa-slack { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-wordpress { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-openid { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-institution:before { + content: "\f19c"; } + +.fa.fa-bank:before { + content: "\f19c"; } + +.fa.fa-mortar-board:before { + content: "\f19d"; } + +.fa.fa-yahoo { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-google { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-reddit { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-reddit-square { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-reddit-square:before { + content: "\f1a2"; } + +.fa.fa-stumbleupon-circle { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-stumbleupon { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-delicious { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-digg { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-pied-piper-pp { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-pied-piper-alt { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-drupal { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-joomla { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-behance { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-behance-square { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-behance-square:before { + content: "\f1b5"; } + +.fa.fa-steam { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-steam-square { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-steam-square:before { + content: "\f1b7"; } + +.fa.fa-automobile:before { + content: "\f1b9"; } + +.fa.fa-cab:before { + content: "\f1ba"; } + +.fa.fa-spotify { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-deviantart { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-soundcloud { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-file-pdf-o { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-file-pdf-o:before { + content: "\f1c1"; } + +.fa.fa-file-word-o { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-file-word-o:before { + content: "\f1c2"; } + +.fa.fa-file-excel-o { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-file-excel-o:before { + content: "\f1c3"; } + +.fa.fa-file-powerpoint-o { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-file-powerpoint-o:before { + content: "\f1c4"; } + +.fa.fa-file-image-o { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-file-image-o:before { + content: "\f1c5"; } + +.fa.fa-file-photo-o { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-file-photo-o:before { + content: "\f1c5"; } + +.fa.fa-file-picture-o { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-file-picture-o:before { + content: "\f1c5"; } + +.fa.fa-file-archive-o { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-file-archive-o:before { + content: "\f1c6"; } + +.fa.fa-file-zip-o { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-file-zip-o:before { + content: "\f1c6"; } + +.fa.fa-file-audio-o { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-file-audio-o:before { + content: "\f1c7"; } + +.fa.fa-file-sound-o { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-file-sound-o:before { + content: "\f1c7"; } + +.fa.fa-file-video-o { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-file-video-o:before { + content: "\f1c8"; } + +.fa.fa-file-movie-o { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-file-movie-o:before { + content: "\f1c8"; } + +.fa.fa-file-code-o { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-file-code-o:before { + content: "\f1c9"; } + +.fa.fa-vine { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-codepen { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-jsfiddle { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-life-bouy:before { + content: "\f1cd"; } + +.fa.fa-life-buoy:before { + content: "\f1cd"; } + +.fa.fa-life-saver:before { + content: "\f1cd"; } + +.fa.fa-support:before { + content: "\f1cd"; } + +.fa.fa-circle-o-notch:before { + content: "\f1ce"; } + +.fa.fa-rebel { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-ra { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-ra:before { + content: "\f1d0"; } + +.fa.fa-resistance { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-resistance:before { + content: "\f1d0"; } + +.fa.fa-empire { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-ge { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-ge:before { + content: "\f1d1"; } + +.fa.fa-git-square { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-git-square:before { + content: "\f1d2"; } + +.fa.fa-git { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-hacker-news { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-y-combinator-square { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-y-combinator-square:before { + content: "\f1d4"; } + +.fa.fa-yc-square { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-yc-square:before { + content: "\f1d4"; } + +.fa.fa-tencent-weibo { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-qq { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-weixin { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-wechat { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-wechat:before { + content: "\f1d7"; } + +.fa.fa-send:before { + content: "\f1d8"; } + +.fa.fa-paper-plane-o { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-paper-plane-o:before { + content: "\f1d8"; } + +.fa.fa-send-o { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-send-o:before { + content: "\f1d8"; } + +.fa.fa-circle-thin { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-circle-thin:before { + content: "\f111"; } + +.fa.fa-header:before { + content: "\f1dc"; } + +.fa.fa-futbol-o { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-futbol-o:before { + content: "\f1e3"; } + +.fa.fa-soccer-ball-o { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-soccer-ball-o:before { + content: "\f1e3"; } + +.fa.fa-slideshare { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-twitch { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-yelp { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-newspaper-o { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-newspaper-o:before { + content: "\f1ea"; } + +.fa.fa-paypal { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-google-wallet { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-cc-visa { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-cc-mastercard { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-cc-discover { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-cc-amex { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-cc-paypal { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-cc-stripe { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-bell-slash-o { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-bell-slash-o:before { + content: "\f1f6"; } + +.fa.fa-trash:before { + content: "\f2ed"; } + +.fa.fa-copyright { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-eyedropper:before { + content: "\f1fb"; } + +.fa.fa-area-chart:before { + content: "\f1fe"; } + +.fa.fa-pie-chart:before { + content: "\f200"; } + +.fa.fa-line-chart:before { + content: "\f201"; } + +.fa.fa-lastfm { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-lastfm-square { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-lastfm-square:before { + content: "\f203"; } + +.fa.fa-ioxhost { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-angellist { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-cc { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-cc:before { + content: "\f20a"; } + +.fa.fa-ils:before { + content: "\f20b"; } + +.fa.fa-shekel:before { + content: "\f20b"; } + +.fa.fa-sheqel:before { + content: "\f20b"; } + +.fa.fa-buysellads { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-connectdevelop { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-dashcube { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-forumbee { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-leanpub { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-sellsy { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-shirtsinbulk { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-simplybuilt { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-skyatlas { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-diamond { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-diamond:before { + content: "\f3a5"; } + +.fa.fa-transgender:before { + content: "\f224"; } + +.fa.fa-intersex:before { + content: "\f224"; } + +.fa.fa-transgender-alt:before { + content: "\f225"; } + +.fa.fa-facebook-official { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-facebook-official:before { + content: "\f09a"; } + +.fa.fa-pinterest-p { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-whatsapp { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-hotel:before { + content: "\f236"; } + +.fa.fa-viacoin { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-medium { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-y-combinator { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-yc { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-yc:before { + content: "\f23b"; } + +.fa.fa-optin-monster { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-opencart { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-expeditedssl { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-battery-4:before { + content: "\f240"; } + +.fa.fa-battery:before { + content: "\f240"; } + +.fa.fa-battery-3:before { + content: "\f241"; } + +.fa.fa-battery-2:before { + content: "\f242"; } + +.fa.fa-battery-1:before { + content: "\f243"; } + +.fa.fa-battery-0:before { + content: "\f244"; } + +.fa.fa-object-group { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-object-ungroup { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-sticky-note-o { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-sticky-note-o:before { + content: "\f249"; } + +.fa.fa-cc-jcb { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-cc-diners-club { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-clone { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-hourglass-o:before { + content: "\f254"; } + +.fa.fa-hourglass-1:before { + content: "\f251"; } + +.fa.fa-hourglass-2:before { + content: "\f252"; } + +.fa.fa-hourglass-3:before { + content: "\f253"; } + +.fa.fa-hand-rock-o { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-hand-rock-o:before { + content: "\f255"; } + +.fa.fa-hand-grab-o { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-hand-grab-o:before { + content: "\f255"; } + +.fa.fa-hand-paper-o { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-hand-paper-o:before { + content: "\f256"; } + +.fa.fa-hand-stop-o { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-hand-stop-o:before { + content: "\f256"; } + +.fa.fa-hand-scissors-o { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-hand-scissors-o:before { + content: "\f257"; } + +.fa.fa-hand-lizard-o { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-hand-lizard-o:before { + content: "\f258"; } + +.fa.fa-hand-spock-o { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-hand-spock-o:before { + content: "\f259"; } + +.fa.fa-hand-pointer-o { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-hand-pointer-o:before { + content: "\f25a"; } + +.fa.fa-hand-peace-o { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-hand-peace-o:before { + content: "\f25b"; } + +.fa.fa-registered { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-creative-commons { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-gg { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-gg-circle { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-odnoklassniki { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-odnoklassniki-square { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-odnoklassniki-square:before { + content: "\f264"; } + +.fa.fa-get-pocket { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-wikipedia-w { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-safari { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-chrome { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-firefox { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-opera { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-internet-explorer { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-television:before { + content: "\f26c"; } + +.fa.fa-contao { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-500px { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-amazon { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-calendar-plus-o { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-calendar-plus-o:before { + content: "\f271"; } + +.fa.fa-calendar-minus-o { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-calendar-minus-o:before { + content: "\f272"; } + +.fa.fa-calendar-times-o { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-calendar-times-o:before { + content: "\f273"; } + +.fa.fa-calendar-check-o { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-calendar-check-o:before { + content: "\f274"; } + +.fa.fa-map-o { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-map-o:before { + content: "\f279"; } + +.fa.fa-commenting:before { + content: "\f4ad"; } + +.fa.fa-commenting-o { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-commenting-o:before { + content: "\f4ad"; } + +.fa.fa-houzz { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-vimeo { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-vimeo:before { + content: "\f27d"; } + +.fa.fa-black-tie { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-fonticons { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-reddit-alien { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-edge { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-credit-card-alt:before { + content: "\f09d"; } + +.fa.fa-codiepie { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-modx { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-fort-awesome { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-usb { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-product-hunt { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-mixcloud { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-scribd { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-pause-circle-o { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-pause-circle-o:before { + content: "\f28b"; } + +.fa.fa-stop-circle-o { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-stop-circle-o:before { + content: "\f28d"; } + +.fa.fa-bluetooth { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-bluetooth-b { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-gitlab { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-wpbeginner { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-wpforms { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-envira { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-wheelchair-alt { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-wheelchair-alt:before { + content: "\f368"; } + +.fa.fa-question-circle-o { + font-family: 'Font Awesome 6 Free'; + font-weight: 400; } + +.fa.fa-question-circle-o:before { + content: "\f059"; } + +.fa.fa-volume-control-phone:before { + content: "\f2a0"; } + +.fa.fa-asl-interpreting:before { + content: "\f2a3"; } + +.fa.fa-deafness:before { + content: "\f2a4"; } + +.fa.fa-hard-of-hearing:before { + content: "\f2a4"; } + +.fa.fa-glide { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-glide-g { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-signing:before { + content: "\f2a7"; } + +.fa.fa-viadeo { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-viadeo-square { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-viadeo-square:before { + content: "\f2aa"; } + +.fa.fa-snapchat { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-snapchat-ghost { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-snapchat-ghost:before { + content: "\f2ab"; } + +.fa.fa-snapchat-square { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-snapchat-square:before { + content: "\f2ad"; } + +.fa.fa-pied-piper { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-first-order { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; } + +.fa.fa-yoast { + font-family: 'Font Awesome 6 Brands'; + font-weight: 400; 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Hide your header until you need it + * Copyright (c) 2017 Nick Williams - http://wicky.nillia.ms/headroom.js + * License: MIT + */ + +!function(a){a&&(a.fn.headroom=function(b){return this.each(function(){var c=a(this),d=c.data("headroom"),e="object"==typeof b&&b;e=a.extend(!0,{},Headroom.options,e),d||(d=new Headroom(this,e),d.init(),c.data("headroom",d)),"string"==typeof b&&(d[b](),"destroy"===b&&c.removeData("headroom"))})},a("[data-headroom]").each(function(){var b=a(this);b.headroom(b.data())}))}(window.Zepto||window.jQuery); \ No newline at end of file diff --git a/docs/deps/jquery-3.6.0/jquery-3.6.0.js b/docs/deps/jquery-3.6.0/jquery-3.6.0.js new file mode 100644 index 0000000..fc6c299 --- /dev/null +++ b/docs/deps/jquery-3.6.0/jquery-3.6.0.js @@ -0,0 +1,10881 @@ +/*! + * jQuery JavaScript Library v3.6.0 + * https://jquery.com/ + * + * Includes Sizzle.js + * https://sizzlejs.com/ + * + * Copyright OpenJS Foundation and other contributors + * Released under the MIT license + * https://jquery.org/license + * + * Date: 2021-03-02T17:08Z + */ +( function( global, factory ) { + + "use strict"; + + if ( typeof module === "object" && typeof module.exports === "object" ) { + + // For CommonJS and CommonJS-like environments where a proper `window` + // is present, execute the factory and get jQuery. + // For environments that do not have a `window` with a `document` + // (such as Node.js), expose a factory as module.exports. + // This accentuates the need for the creation of a real `window`. + // e.g. var jQuery = require("jquery")(window); + // See ticket #14549 for more info. + module.exports = global.document ? + factory( global, true ) : + function( w ) { + if ( !w.document ) { + throw new Error( "jQuery requires a window with a document" ); + } + return factory( w ); + }; + } else { + factory( global ); + } + +// Pass this if window is not defined yet +} )( typeof window !== "undefined" ? window : this, function( window, noGlobal ) { + +// Edge <= 12 - 13+, Firefox <=18 - 45+, IE 10 - 11, Safari 5.1 - 9+, iOS 6 - 9.1 +// throw exceptions when non-strict code (e.g., ASP.NET 4.5) accesses strict mode +// arguments.callee.caller (trac-13335). But as of jQuery 3.0 (2016), strict mode should be common +// enough that all such attempts are guarded in a try block. +"use strict"; + +var arr = []; + +var getProto = Object.getPrototypeOf; + +var slice = arr.slice; + +var flat = arr.flat ? function( array ) { + return arr.flat.call( array ); +} : function( array ) { + return arr.concat.apply( [], array ); +}; + + +var push = arr.push; + +var indexOf = arr.indexOf; + +var class2type = {}; + +var toString = class2type.toString; + +var hasOwn = class2type.hasOwnProperty; + +var fnToString = hasOwn.toString; + +var ObjectFunctionString = fnToString.call( Object ); + +var support = {}; + +var isFunction = function isFunction( obj ) { + + // Support: Chrome <=57, Firefox <=52 + // In some browsers, typeof returns "function" for HTML elements + // (i.e., `typeof document.createElement( "object" ) === "function"`). + // We don't want to classify *any* DOM node as a function. + // Support: QtWeb <=3.8.5, WebKit <=534.34, wkhtmltopdf tool <=0.12.5 + // Plus for old WebKit, typeof returns "function" for HTML collections + // (e.g., `typeof document.getElementsByTagName("div") === "function"`). (gh-4756) + return typeof obj === "function" && typeof obj.nodeType !== "number" && + typeof obj.item !== "function"; + }; + + +var isWindow = function isWindow( obj ) { + return obj != null && obj === obj.window; + }; + + +var document = window.document; + + + + var preservedScriptAttributes = { + type: true, + src: true, + nonce: true, + noModule: true + }; + + function DOMEval( code, node, doc ) { + doc = doc || document; + + var i, val, + script = doc.createElement( "script" ); + + script.text = code; + if ( node ) { + for ( i in preservedScriptAttributes ) { + + // Support: Firefox 64+, Edge 18+ + // Some browsers don't support the "nonce" property on scripts. + // On the other hand, just using `getAttribute` is not enough as + // the `nonce` attribute is reset to an empty string whenever it + // becomes browsing-context connected. + // See https://github.com/whatwg/html/issues/2369 + // See https://html.spec.whatwg.org/#nonce-attributes + // The `node.getAttribute` check was added for the sake of + // `jQuery.globalEval` so that it can fake a nonce-containing node + // via an object. + val = node[ i ] || node.getAttribute && node.getAttribute( i ); + if ( val ) { + script.setAttribute( i, val ); + } + } + } + doc.head.appendChild( script ).parentNode.removeChild( script ); + } + + +function toType( obj ) { + if ( obj == null ) { + return obj + ""; + } + + // Support: Android <=2.3 only (functionish RegExp) + return typeof obj === "object" || typeof obj === "function" ? + class2type[ toString.call( obj ) ] || "object" : + typeof obj; +} +/* global Symbol */ +// Defining this global in .eslintrc.json would create a danger of using the global +// unguarded in another place, it seems safer to define global only for this module + + + +var + version = "3.6.0", + + // Define a local copy of jQuery + jQuery = function( selector, context ) { + + // The jQuery object is actually just the init constructor 'enhanced' + // Need init if jQuery is called (just allow error to be thrown if not included) + return new jQuery.fn.init( selector, context ); + }; + +jQuery.fn = jQuery.prototype = { + + // The current version of jQuery being used + jquery: version, + + constructor: jQuery, + + // The default length of a jQuery object is 0 + length: 0, + + toArray: function() { + return slice.call( this ); + }, + + // Get the Nth element in the matched element set OR + // Get the whole matched element set as a clean array + get: function( num ) { + + // Return all the elements in a clean array + if ( num == null ) { + return slice.call( this ); + } + + // Return just the one element from the set + return num < 0 ? this[ num + this.length ] : this[ num ]; + }, + + // Take an array of elements and push it onto the stack + // (returning the new matched element set) + pushStack: function( elems ) { + + // Build a new jQuery matched element set + var ret = jQuery.merge( this.constructor(), elems ); + + // Add the old object onto the stack (as a reference) + ret.prevObject = this; + + // Return the newly-formed element set + return ret; + }, + + // Execute a callback for every element in the matched set. + each: function( callback ) { + return jQuery.each( this, callback ); + }, + + map: function( callback ) { + return this.pushStack( jQuery.map( this, function( elem, i ) { + return callback.call( elem, i, elem ); + } ) ); + }, + + slice: function() { + return this.pushStack( slice.apply( this, arguments ) ); + }, + + first: function() { + return this.eq( 0 ); + }, + + last: function() { + return this.eq( -1 ); + }, + + even: function() { + return this.pushStack( jQuery.grep( this, function( _elem, i ) { + return ( i + 1 ) % 2; + } ) ); + }, + + odd: function() { + return this.pushStack( jQuery.grep( this, function( _elem, i ) { + return i % 2; + } ) ); + }, + + eq: function( i ) { + var len = this.length, + j = +i + ( i < 0 ? len : 0 ); + return this.pushStack( j >= 0 && j < len ? [ this[ j ] ] : [] ); + }, + + end: function() { + return this.prevObject || this.constructor(); + }, + + // For internal use only. + // Behaves like an Array's method, not like a jQuery method. + push: push, + sort: arr.sort, + splice: arr.splice +}; + +jQuery.extend = jQuery.fn.extend = function() { + var options, name, src, copy, copyIsArray, clone, + target = arguments[ 0 ] || {}, + i = 1, + length = arguments.length, + deep = false; + + // Handle a deep copy situation + if ( typeof target === "boolean" ) { + deep = target; + + // Skip the boolean and the target + target = arguments[ i ] || {}; + i++; + } + + // Handle case when target is a string or something (possible in deep copy) + if ( typeof target !== "object" && !isFunction( target ) ) { + target = {}; + } + + // Extend jQuery itself if only one argument is passed + if ( i === length ) { + target = this; + i--; + } + + for ( ; i < length; i++ ) { + + // Only deal with non-null/undefined values + if ( ( options = arguments[ i ] ) != null ) { + + // Extend the base object + for ( name in options ) { + copy = options[ name ]; + + // Prevent Object.prototype pollution + // Prevent never-ending loop + if ( name === "__proto__" || target === copy ) { + continue; + } + + // Recurse if we're merging plain objects or arrays + if ( deep && copy && ( jQuery.isPlainObject( copy ) || + ( copyIsArray = Array.isArray( copy ) ) ) ) { + src = target[ name ]; + + // Ensure proper type for the source value + if ( copyIsArray && !Array.isArray( src ) ) { + clone = []; + } else if ( !copyIsArray && !jQuery.isPlainObject( src ) ) { + clone = {}; + } else { + clone = src; + } + copyIsArray = false; + + // Never move original objects, clone them + target[ name ] = jQuery.extend( deep, clone, copy ); + + // Don't bring in undefined values + } else if ( copy !== undefined ) { + target[ name ] = copy; + } + } + } + } + + // Return the modified object + return target; +}; + +jQuery.extend( { + + // Unique for each copy of jQuery on the page + expando: "jQuery" + ( version + Math.random() ).replace( /\D/g, "" ), + + // Assume jQuery is ready without the ready module + isReady: true, + + error: function( msg ) { + throw new Error( msg ); + }, + + noop: function() {}, + + isPlainObject: function( obj ) { + var proto, Ctor; + + // Detect obvious negatives + // Use toString instead of jQuery.type to catch host objects + if ( !obj || toString.call( obj ) !== "[object Object]" ) { + return false; + } + + proto = getProto( obj ); + + // Objects with no prototype (e.g., `Object.create( null )`) are plain + if ( !proto ) { + return true; + } + + // Objects with prototype are plain iff they were constructed by a global Object function + Ctor = hasOwn.call( proto, "constructor" ) && proto.constructor; + return typeof Ctor === "function" && fnToString.call( Ctor ) === ObjectFunctionString; + }, + + isEmptyObject: function( obj ) { + var name; + + for ( name in obj ) { + return false; + } + return true; + }, + + // Evaluates a script in a provided context; falls back to the global one + // if not specified. + globalEval: function( code, options, doc ) { + DOMEval( code, { nonce: options && options.nonce }, doc ); + }, + + each: function( obj, callback ) { + var length, i = 0; + + if ( isArrayLike( obj ) ) { + length = obj.length; + for ( ; i < length; i++ ) { + if ( callback.call( obj[ i ], i, obj[ i ] ) === false ) { + break; + } + } + } else { + for ( i in obj ) { + if ( callback.call( obj[ i ], i, obj[ i ] ) === false ) { + break; + } + } + } + + return obj; + }, + + // results is for internal usage only + makeArray: function( arr, results ) { + var ret = results || []; + + if ( arr != null ) { + if ( isArrayLike( Object( arr ) ) ) { + jQuery.merge( ret, + typeof arr === "string" ? + [ arr ] : arr + ); + } else { + push.call( ret, arr ); + } + } + + return ret; + }, + + inArray: function( elem, arr, i ) { + return arr == null ? -1 : indexOf.call( arr, elem, i ); + }, + + // Support: Android <=4.0 only, PhantomJS 1 only + // push.apply(_, arraylike) throws on ancient WebKit + merge: function( first, second ) { + var len = +second.length, + j = 0, + i = first.length; + + for ( ; j < len; j++ ) { + first[ i++ ] = second[ j ]; + } + + first.length = i; + + return first; + }, + + grep: function( elems, callback, invert ) { + var callbackInverse, + matches = [], + i = 0, + length = elems.length, + callbackExpect = !invert; + + // Go through the array, only saving the items + // that pass the validator function + for ( ; i < length; i++ ) { + callbackInverse = !callback( elems[ i ], i ); + if ( callbackInverse !== callbackExpect ) { + matches.push( elems[ i ] ); + } + } + + return matches; + }, + + // arg is for internal usage only + map: function( elems, callback, arg ) { + var length, value, + i = 0, + ret = []; + + // Go through the array, translating each of the items to their new values + if ( isArrayLike( elems ) ) { + length = elems.length; + for ( ; i < length; i++ ) { + value = callback( elems[ i ], i, arg ); + + if ( value != null ) { + ret.push( value ); + } + } + + // Go through every key on the object, + } else { + for ( i in elems ) { + value = callback( elems[ i ], i, arg ); + + if ( value != null ) { + ret.push( value ); + } + } + } + + // Flatten any nested arrays + return flat( ret ); + }, + + // A global GUID counter for objects + guid: 1, + + // jQuery.support is not used in Core but other projects attach their + // properties to it so it needs to exist. + support: support +} ); + +if ( typeof Symbol === "function" ) { + jQuery.fn[ Symbol.iterator ] = arr[ Symbol.iterator ]; +} + +// Populate the class2type map +jQuery.each( "Boolean Number String Function Array Date RegExp Object Error Symbol".split( " " ), + function( _i, name ) { + class2type[ "[object " + name + "]" ] = name.toLowerCase(); + } ); + +function isArrayLike( obj ) { + + // Support: real iOS 8.2 only (not reproducible in simulator) + // `in` check used to prevent JIT error (gh-2145) + // hasOwn isn't used here due to false negatives + // regarding Nodelist length in IE + var length = !!obj && "length" in obj && obj.length, + type = toType( obj ); + + if ( isFunction( obj ) || isWindow( obj ) ) { + return false; + } + + return type === "array" || length === 0 || + typeof length === "number" && length > 0 && ( length - 1 ) in obj; +} +var Sizzle = +/*! + * Sizzle CSS Selector Engine v2.3.6 + * https://sizzlejs.com/ + * + * Copyright JS Foundation and other contributors + * Released under the MIT license + * https://js.foundation/ + * + * Date: 2021-02-16 + */ +( function( window ) { +var i, + support, + Expr, + getText, + isXML, + tokenize, + compile, + select, + outermostContext, + sortInput, + hasDuplicate, + + // Local document vars + setDocument, + document, + docElem, + documentIsHTML, + rbuggyQSA, + rbuggyMatches, + matches, + contains, + + // Instance-specific data + expando = "sizzle" + 1 * new Date(), + preferredDoc = window.document, + dirruns = 0, + done = 0, + classCache = createCache(), + tokenCache = createCache(), + compilerCache = createCache(), + nonnativeSelectorCache = createCache(), + sortOrder = function( a, b ) { + if ( a === b ) { + hasDuplicate = true; + } + return 0; + }, + + // Instance methods + hasOwn = ( {} ).hasOwnProperty, + arr = [], + pop = arr.pop, + pushNative = arr.push, + push = arr.push, + slice = arr.slice, + + // Use a stripped-down indexOf as it's faster than native + // https://jsperf.com/thor-indexof-vs-for/5 + indexOf = function( list, elem ) { + var i = 0, + len = list.length; + for ( ; i < len; i++ ) { + if ( list[ i ] === elem ) { + return i; + } + } + return -1; + }, + + booleans = "checked|selected|async|autofocus|autoplay|controls|defer|disabled|hidden|" + + "ismap|loop|multiple|open|readonly|required|scoped", + + // Regular expressions + + // http://www.w3.org/TR/css3-selectors/#whitespace + whitespace = "[\\x20\\t\\r\\n\\f]", + + // https://www.w3.org/TR/css-syntax-3/#ident-token-diagram + identifier = "(?:\\\\[\\da-fA-F]{1,6}" + whitespace + + "?|\\\\[^\\r\\n\\f]|[\\w-]|[^\0-\\x7f])+", + + // Attribute selectors: http://www.w3.org/TR/selectors/#attribute-selectors + attributes = "\\[" + whitespace + "*(" + identifier + ")(?:" + whitespace + + + // Operator (capture 2) + "*([*^$|!~]?=)" + whitespace + + + // "Attribute values must be CSS identifiers [capture 5] + // or strings [capture 3 or capture 4]" + "*(?:'((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\"|(" + identifier + "))|)" + + whitespace + "*\\]", + + pseudos = ":(" + identifier + ")(?:\\((" + + + // To reduce the number of selectors needing tokenize in the preFilter, prefer arguments: + // 1. quoted (capture 3; capture 4 or capture 5) + "('((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\")|" + + + // 2. simple (capture 6) + "((?:\\\\.|[^\\\\()[\\]]|" + attributes + ")*)|" + + + // 3. anything else (capture 2) + ".*" + + ")\\)|)", + + // Leading and non-escaped trailing whitespace, capturing some non-whitespace characters preceding the latter + rwhitespace = new RegExp( whitespace + "+", "g" ), + rtrim = new RegExp( "^" + whitespace + "+|((?:^|[^\\\\])(?:\\\\.)*)" + + whitespace + "+$", "g" ), + + rcomma = new RegExp( "^" + whitespace + "*," + whitespace + "*" ), + rcombinators = new RegExp( "^" + whitespace + "*([>+~]|" + whitespace + ")" + whitespace + + "*" ), + rdescend = new RegExp( whitespace + "|>" ), + + rpseudo = new RegExp( pseudos ), + ridentifier = new RegExp( "^" + identifier + "$" ), + + matchExpr = { + "ID": new RegExp( "^#(" + identifier + ")" ), + "CLASS": new RegExp( "^\\.(" + identifier + ")" ), + "TAG": new RegExp( "^(" + identifier + "|[*])" ), + "ATTR": new RegExp( "^" + attributes ), + "PSEUDO": new RegExp( "^" + pseudos ), + "CHILD": new RegExp( "^:(only|first|last|nth|nth-last)-(child|of-type)(?:\\(" + + whitespace + "*(even|odd|(([+-]|)(\\d*)n|)" + whitespace + "*(?:([+-]|)" + + whitespace + "*(\\d+)|))" + whitespace + "*\\)|)", "i" ), + "bool": new RegExp( "^(?:" + booleans + ")$", "i" ), + + // For use in libraries implementing .is() + // We use this for POS matching in `select` + "needsContext": new RegExp( "^" + whitespace + + "*[>+~]|:(even|odd|eq|gt|lt|nth|first|last)(?:\\(" + whitespace + + "*((?:-\\d)?\\d*)" + whitespace + "*\\)|)(?=[^-]|$)", "i" ) + }, + + rhtml = /HTML$/i, + rinputs = /^(?:input|select|textarea|button)$/i, + rheader = /^h\d$/i, + + rnative = /^[^{]+\{\s*\[native \w/, + + // Easily-parseable/retrievable ID or TAG or CLASS selectors + rquickExpr = /^(?:#([\w-]+)|(\w+)|\.([\w-]+))$/, + + rsibling = /[+~]/, + + // CSS escapes + // http://www.w3.org/TR/CSS21/syndata.html#escaped-characters + runescape = new RegExp( "\\\\[\\da-fA-F]{1,6}" + whitespace + "?|\\\\([^\\r\\n\\f])", "g" ), + funescape = function( escape, nonHex ) { + var high = "0x" + escape.slice( 1 ) - 0x10000; + + return nonHex ? + + // Strip the backslash prefix from a non-hex escape sequence + nonHex : + + // Replace a hexadecimal escape sequence with the encoded Unicode code point + // Support: IE <=11+ + // For values outside the Basic Multilingual Plane (BMP), manually construct a + // surrogate pair + high < 0 ? + String.fromCharCode( high + 0x10000 ) : + String.fromCharCode( high >> 10 | 0xD800, high & 0x3FF | 0xDC00 ); + }, + + // CSS string/identifier serialization + // https://drafts.csswg.org/cssom/#common-serializing-idioms + rcssescape = /([\0-\x1f\x7f]|^-?\d)|^-$|[^\0-\x1f\x7f-\uFFFF\w-]/g, + fcssescape = function( ch, asCodePoint ) { + if ( asCodePoint ) { + + // U+0000 NULL becomes U+FFFD REPLACEMENT CHARACTER + if ( ch === "\0" ) { + return "\uFFFD"; + } + + // Control characters and (dependent upon position) numbers get escaped as code points + return ch.slice( 0, -1 ) + "\\" + + ch.charCodeAt( ch.length - 1 ).toString( 16 ) + " "; + } + + // Other potentially-special ASCII characters get backslash-escaped + return "\\" + ch; + }, + + // Used for iframes + // See setDocument() + // Removing the function wrapper causes a "Permission Denied" + // error in IE + unloadHandler = function() { + setDocument(); + }, + + inDisabledFieldset = addCombinator( + function( elem ) { + return elem.disabled === true && elem.nodeName.toLowerCase() === "fieldset"; + }, + { dir: "parentNode", next: "legend" } + ); + +// Optimize for push.apply( _, NodeList ) +try { + push.apply( + ( arr = slice.call( preferredDoc.childNodes ) ), + preferredDoc.childNodes + ); + + // Support: Android<4.0 + // Detect silently failing push.apply + // eslint-disable-next-line no-unused-expressions + arr[ preferredDoc.childNodes.length ].nodeType; +} catch ( e ) { + push = { apply: arr.length ? + + // Leverage slice if possible + function( target, els ) { + pushNative.apply( target, slice.call( els ) ); + } : + + // Support: IE<9 + // Otherwise append directly + function( target, els ) { + var j = target.length, + i = 0; + + // Can't trust NodeList.length + while ( ( target[ j++ ] = els[ i++ ] ) ) {} + target.length = j - 1; + } + }; +} + +function Sizzle( selector, context, results, seed ) { + var m, i, elem, nid, match, groups, newSelector, + newContext = context && context.ownerDocument, + + // nodeType defaults to 9, since context defaults to document + nodeType = context ? context.nodeType : 9; + + results = results || []; + + // Return early from calls with invalid selector or context + if ( typeof selector !== "string" || !selector || + nodeType !== 1 && nodeType !== 9 && nodeType !== 11 ) { + + return results; + } + + // Try to shortcut find operations (as opposed to filters) in HTML documents + if ( !seed ) { + setDocument( context ); + context = context || document; + + if ( documentIsHTML ) { + + // If the selector is sufficiently simple, try using a "get*By*" DOM method + // (excepting DocumentFragment context, where the methods don't exist) + if ( nodeType !== 11 && ( match = rquickExpr.exec( selector ) ) ) { + + // ID selector + if ( ( m = match[ 1 ] ) ) { + + // Document context + if ( nodeType === 9 ) { + if ( ( elem = context.getElementById( m ) ) ) { + + // Support: IE, Opera, Webkit + // TODO: identify versions + // getElementById can match elements by name instead of ID + if ( elem.id === m ) { + results.push( elem ); + return results; + } + } else { + return results; + } + + // Element context + } else { + + // Support: IE, Opera, Webkit + // TODO: identify versions + // getElementById can match elements by name instead of ID + if ( newContext && ( elem = newContext.getElementById( m ) ) && + contains( context, elem ) && + elem.id === m ) { + + results.push( elem ); + return results; + } + } + + // Type selector + } else if ( match[ 2 ] ) { + push.apply( results, context.getElementsByTagName( selector ) ); + return results; + + // Class selector + } else if ( ( m = match[ 3 ] ) && support.getElementsByClassName && + context.getElementsByClassName ) { + + push.apply( results, context.getElementsByClassName( m ) ); + return results; + } + } + + // Take advantage of querySelectorAll + if ( support.qsa && + !nonnativeSelectorCache[ selector + " " ] && + ( !rbuggyQSA || !rbuggyQSA.test( selector ) ) && + + // Support: IE 8 only + // Exclude object elements + ( nodeType !== 1 || context.nodeName.toLowerCase() !== "object" ) ) { + + newSelector = selector; + newContext = context; + + // qSA considers elements outside a scoping root when evaluating child or + // descendant combinators, which is not what we want. + // In such cases, we work around the behavior by prefixing every selector in the + // list with an ID selector referencing the scope context. + // The technique has to be used as well when a leading combinator is used + // as such selectors are not recognized by querySelectorAll. + // Thanks to Andrew Dupont for this technique. + if ( nodeType === 1 && + ( rdescend.test( selector ) || rcombinators.test( selector ) ) ) { + + // Expand context for sibling selectors + newContext = rsibling.test( selector ) && testContext( context.parentNode ) || + context; + + // We can use :scope instead of the ID hack if the browser + // supports it & if we're not changing the context. + if ( newContext !== context || !support.scope ) { + + // Capture the context ID, setting it first if necessary + if ( ( nid = context.getAttribute( "id" ) ) ) { + nid = nid.replace( rcssescape, fcssescape ); + } else { + context.setAttribute( "id", ( nid = expando ) ); + } + } + + // Prefix every selector in the list + groups = tokenize( selector ); + i = groups.length; + while ( i-- ) { + groups[ i ] = ( nid ? "#" + nid : ":scope" ) + " " + + toSelector( groups[ i ] ); + } + newSelector = groups.join( "," ); + } + + try { + push.apply( results, + newContext.querySelectorAll( newSelector ) + ); + return results; + } catch ( qsaError ) { + nonnativeSelectorCache( selector, true ); + } finally { + if ( nid === expando ) { + context.removeAttribute( "id" ); + } + } + } + } + } + + // All others + return select( selector.replace( rtrim, "$1" ), context, results, seed ); +} + +/** + * Create key-value caches of limited size + * @returns {function(string, object)} Returns the Object data after storing it on itself with + * property name the (space-suffixed) string and (if the cache is larger than Expr.cacheLength) + * deleting the oldest entry + */ +function createCache() { + var keys = []; + + function cache( key, value ) { + + // Use (key + " ") to avoid collision with native prototype properties (see Issue #157) + if ( keys.push( key + " " ) > Expr.cacheLength ) { + + // Only keep the most recent entries + delete cache[ keys.shift() ]; + } + return ( cache[ key + " " ] = value ); + } + return cache; +} + +/** + * Mark a function for special use by Sizzle + * @param {Function} fn The function to mark + */ +function markFunction( fn ) { + fn[ expando ] = true; + return fn; +} + +/** + * Support testing using an element + * @param {Function} fn Passed the created element and returns a boolean result + */ +function assert( fn ) { + var el = document.createElement( "fieldset" ); + + try { + return !!fn( el ); + } catch ( e ) { + return false; + } finally { + + // Remove from its parent by default + if ( el.parentNode ) { + el.parentNode.removeChild( el ); + } + + // release memory in IE + el = null; + } +} + +/** + * Adds the same handler for all of the specified attrs + * @param {String} attrs Pipe-separated list of attributes + * @param {Function} handler The method that will be applied + */ +function addHandle( attrs, handler ) { + var arr = attrs.split( "|" ), + i = arr.length; + + while ( i-- ) { + Expr.attrHandle[ arr[ i ] ] = handler; + } +} + +/** + * Checks document order of two siblings + * @param {Element} a + * @param {Element} b + * @returns {Number} Returns less than 0 if a precedes b, greater than 0 if a follows b + */ +function siblingCheck( a, b ) { + var cur = b && a, + diff = cur && a.nodeType === 1 && b.nodeType === 1 && + a.sourceIndex - b.sourceIndex; + + // Use IE sourceIndex if available on both nodes + if ( diff ) { + return diff; + } + + // Check if b follows a + if ( cur ) { + while ( ( cur = cur.nextSibling ) ) { + if ( cur === b ) { + return -1; + } + } + } + + return a ? 1 : -1; +} + +/** + * Returns a function to use in pseudos for input types + * @param {String} type + */ +function createInputPseudo( type ) { + return function( elem ) { + var name = elem.nodeName.toLowerCase(); + return name === "input" && elem.type === type; + }; +} + +/** + * Returns a function to use in pseudos for buttons + * @param {String} type + */ +function createButtonPseudo( type ) { + return function( elem ) { + var name = elem.nodeName.toLowerCase(); + return ( name === "input" || name === "button" ) && elem.type === type; + }; +} + +/** + * Returns a function to use in pseudos for :enabled/:disabled + * @param {Boolean} disabled true for :disabled; false for :enabled + */ +function createDisabledPseudo( disabled ) { + + // Known :disabled false positives: fieldset[disabled] > legend:nth-of-type(n+2) :can-disable + return function( elem ) { + + // Only certain elements can match :enabled or :disabled + // https://html.spec.whatwg.org/multipage/scripting.html#selector-enabled + // https://html.spec.whatwg.org/multipage/scripting.html#selector-disabled + if ( "form" in elem ) { + + // Check for inherited disabledness on relevant non-disabled elements: + // * listed form-associated elements in a disabled fieldset + // https://html.spec.whatwg.org/multipage/forms.html#category-listed + // https://html.spec.whatwg.org/multipage/forms.html#concept-fe-disabled + // * option elements in a disabled optgroup + // https://html.spec.whatwg.org/multipage/forms.html#concept-option-disabled + // All such elements have a "form" property. + if ( elem.parentNode && elem.disabled === false ) { + + // Option elements defer to a parent optgroup if present + if ( "label" in elem ) { + if ( "label" in elem.parentNode ) { + return elem.parentNode.disabled === disabled; + } else { + return elem.disabled === disabled; + } + } + + // Support: IE 6 - 11 + // Use the isDisabled shortcut property to check for disabled fieldset ancestors + return elem.isDisabled === disabled || + + // Where there is no isDisabled, check manually + /* jshint -W018 */ + elem.isDisabled !== !disabled && + inDisabledFieldset( elem ) === disabled; + } + + return elem.disabled === disabled; + + // Try to winnow out elements that can't be disabled before trusting the disabled property. + // Some victims get caught in our net (label, legend, menu, track), but it shouldn't + // even exist on them, let alone have a boolean value. + } else if ( "label" in elem ) { + return elem.disabled === disabled; + } + + // Remaining elements are neither :enabled nor :disabled + return false; + }; +} + +/** + * Returns a function to use in pseudos for positionals + * @param {Function} fn + */ +function createPositionalPseudo( fn ) { + return markFunction( function( argument ) { + argument = +argument; + return markFunction( function( seed, matches ) { + var j, + matchIndexes = fn( [], seed.length, argument ), + i = matchIndexes.length; + + // Match elements found at the specified indexes + while ( i-- ) { + if ( seed[ ( j = matchIndexes[ i ] ) ] ) { + seed[ j ] = !( matches[ j ] = seed[ j ] ); + } + } + } ); + } ); +} + +/** + * Checks a node for validity as a Sizzle context + * @param {Element|Object=} context + * @returns {Element|Object|Boolean} The input node if acceptable, otherwise a falsy value + */ +function testContext( context ) { + return context && typeof context.getElementsByTagName !== "undefined" && context; +} + +// Expose support vars for convenience +support = Sizzle.support = {}; + +/** + * Detects XML nodes + * @param {Element|Object} elem An element or a document + * @returns {Boolean} True iff elem is a non-HTML XML node + */ +isXML = Sizzle.isXML = function( elem ) { + var namespace = elem && elem.namespaceURI, + docElem = elem && ( elem.ownerDocument || elem ).documentElement; + + // Support: IE <=8 + // Assume HTML when documentElement doesn't yet exist, such as inside loading iframes + // https://bugs.jquery.com/ticket/4833 + return !rhtml.test( namespace || docElem && docElem.nodeName || "HTML" ); +}; + +/** + * Sets document-related variables once based on the current document + * @param {Element|Object} [doc] An element or document object to use to set the document + * @returns {Object} Returns the current document + */ +setDocument = Sizzle.setDocument = function( node ) { + var hasCompare, subWindow, + doc = node ? node.ownerDocument || node : preferredDoc; + + // Return early if doc is invalid or already selected + // Support: IE 11+, Edge 17 - 18+ + // IE/Edge sometimes throw a "Permission denied" error when strict-comparing + // two documents; shallow comparisons work. + // eslint-disable-next-line eqeqeq + if ( doc == document || doc.nodeType !== 9 || !doc.documentElement ) { + return document; + } + + // Update global variables + document = doc; + docElem = document.documentElement; + documentIsHTML = !isXML( document ); + + // Support: IE 9 - 11+, Edge 12 - 18+ + // Accessing iframe documents after unload throws "permission denied" errors (jQuery #13936) + // Support: IE 11+, Edge 17 - 18+ + // IE/Edge sometimes throw a "Permission denied" error when strict-comparing + // two documents; shallow comparisons work. + // eslint-disable-next-line eqeqeq + if ( preferredDoc != document && + ( subWindow = document.defaultView ) && subWindow.top !== subWindow ) { + + // Support: IE 11, Edge + if ( subWindow.addEventListener ) { + subWindow.addEventListener( "unload", unloadHandler, false ); + + // Support: IE 9 - 10 only + } else if ( subWindow.attachEvent ) { + subWindow.attachEvent( "onunload", unloadHandler ); + } + } + + // Support: IE 8 - 11+, Edge 12 - 18+, Chrome <=16 - 25 only, Firefox <=3.6 - 31 only, + // Safari 4 - 5 only, Opera <=11.6 - 12.x only + // IE/Edge & older browsers don't support the :scope pseudo-class. + // Support: Safari 6.0 only + // Safari 6.0 supports :scope but it's an alias of :root there. + support.scope = assert( function( el ) { + docElem.appendChild( el ).appendChild( document.createElement( "div" ) ); + return typeof el.querySelectorAll !== "undefined" && + !el.querySelectorAll( ":scope fieldset div" ).length; + } ); + + /* Attributes + ---------------------------------------------------------------------- */ + + // Support: IE<8 + // Verify that getAttribute really returns attributes and not properties + // (excepting IE8 booleans) + support.attributes = assert( function( el ) { + el.className = "i"; + return !el.getAttribute( "className" ); + } ); + + /* getElement(s)By* + ---------------------------------------------------------------------- */ + + // Check if getElementsByTagName("*") returns only elements + support.getElementsByTagName = assert( function( el ) { + el.appendChild( document.createComment( "" ) ); + return !el.getElementsByTagName( "*" ).length; + } ); + + // Support: IE<9 + support.getElementsByClassName = rnative.test( document.getElementsByClassName ); + + // Support: IE<10 + // Check if getElementById returns elements by name + // The broken getElementById methods don't pick up programmatically-set names, + // so use a roundabout getElementsByName test + support.getById = assert( function( el ) { + docElem.appendChild( el ).id = expando; + return !document.getElementsByName || !document.getElementsByName( expando ).length; + } ); + + // ID filter and find + if ( support.getById ) { + Expr.filter[ "ID" ] = function( id ) { + var attrId = id.replace( runescape, funescape ); + return function( elem ) { + return elem.getAttribute( "id" ) === attrId; + }; + }; + Expr.find[ "ID" ] = function( id, context ) { + if ( typeof context.getElementById !== "undefined" && documentIsHTML ) { + var elem = context.getElementById( id ); + return elem ? [ elem ] : []; + } + }; + } else { + Expr.filter[ "ID" ] = function( id ) { + var attrId = id.replace( runescape, funescape ); + return function( elem ) { + var node = typeof elem.getAttributeNode !== "undefined" && + elem.getAttributeNode( "id" ); + return node && node.value === attrId; + }; + }; + + // Support: IE 6 - 7 only + // getElementById is not reliable as a find shortcut + Expr.find[ "ID" ] = function( id, context ) { + if ( typeof context.getElementById !== "undefined" && documentIsHTML ) { + var node, i, elems, + elem = context.getElementById( id ); + + if ( elem ) { + + // Verify the id attribute + node = elem.getAttributeNode( "id" ); + if ( node && node.value === id ) { + return [ elem ]; + } + + // Fall back on getElementsByName + elems = context.getElementsByName( id ); + i = 0; + while ( ( elem = elems[ i++ ] ) ) { + node = elem.getAttributeNode( "id" ); + if ( node && node.value === id ) { + return [ elem ]; + } + } + } + + return []; + } + }; + } + + // Tag + Expr.find[ "TAG" ] = support.getElementsByTagName ? + function( tag, context ) { + if ( typeof context.getElementsByTagName !== "undefined" ) { + return context.getElementsByTagName( tag ); + + // DocumentFragment nodes don't have gEBTN + } else if ( support.qsa ) { + return context.querySelectorAll( tag ); + } + } : + + function( tag, context ) { + var elem, + tmp = [], + i = 0, + + // By happy coincidence, a (broken) gEBTN appears on DocumentFragment nodes too + results = context.getElementsByTagName( tag ); + + // Filter out possible comments + if ( tag === "*" ) { + while ( ( elem = results[ i++ ] ) ) { + if ( elem.nodeType === 1 ) { + tmp.push( elem ); + } + } + + return tmp; + } + return results; + }; + + // Class + Expr.find[ "CLASS" ] = support.getElementsByClassName && function( className, context ) { + if ( typeof context.getElementsByClassName !== "undefined" && documentIsHTML ) { + return context.getElementsByClassName( className ); + } + }; + + /* QSA/matchesSelector + ---------------------------------------------------------------------- */ + + // QSA and matchesSelector support + + // matchesSelector(:active) reports false when true (IE9/Opera 11.5) + rbuggyMatches = []; + + // qSa(:focus) reports false when true (Chrome 21) + // We allow this because of a bug in IE8/9 that throws an error + // whenever `document.activeElement` is accessed on an iframe + // So, we allow :focus to pass through QSA all the time to avoid the IE error + // See https://bugs.jquery.com/ticket/13378 + rbuggyQSA = []; + + if ( ( support.qsa = rnative.test( document.querySelectorAll ) ) ) { + + // Build QSA regex + // Regex strategy adopted from Diego Perini + assert( function( el ) { + + var input; + + // Select is set to empty string on purpose + // This is to test IE's treatment of not explicitly + // setting a boolean content attribute, + // since its presence should be enough + // https://bugs.jquery.com/ticket/12359 + docElem.appendChild( el ).innerHTML = "" + + ""; + + // Support: IE8, Opera 11-12.16 + // Nothing should be selected when empty strings follow ^= or $= or *= + // The test attribute must be unknown in Opera but "safe" for WinRT + // https://msdn.microsoft.com/en-us/library/ie/hh465388.aspx#attribute_section + if ( el.querySelectorAll( "[msallowcapture^='']" ).length ) { + rbuggyQSA.push( "[*^$]=" + whitespace + "*(?:''|\"\")" ); + } + + // Support: IE8 + // Boolean attributes and "value" are not treated correctly + if ( !el.querySelectorAll( "[selected]" ).length ) { + rbuggyQSA.push( "\\[" + whitespace + "*(?:value|" + booleans + ")" ); + } + + // Support: Chrome<29, Android<4.4, Safari<7.0+, iOS<7.0+, PhantomJS<1.9.8+ + if ( !el.querySelectorAll( "[id~=" + expando + "-]" ).length ) { + rbuggyQSA.push( "~=" ); + } + + // Support: IE 11+, Edge 15 - 18+ + // IE 11/Edge don't find elements on a `[name='']` query in some cases. + // Adding a temporary attribute to the document before the selection works + // around the issue. + // Interestingly, IE 10 & older don't seem to have the issue. + input = document.createElement( "input" ); + input.setAttribute( "name", "" ); + el.appendChild( input ); + if ( !el.querySelectorAll( "[name='']" ).length ) { + rbuggyQSA.push( "\\[" + whitespace + "*name" + whitespace + "*=" + + whitespace + "*(?:''|\"\")" ); + } + + // Webkit/Opera - :checked should return selected option elements + // http://www.w3.org/TR/2011/REC-css3-selectors-20110929/#checked + // IE8 throws error here and will not see later tests + if ( !el.querySelectorAll( ":checked" ).length ) { + rbuggyQSA.push( ":checked" ); + } + + // Support: Safari 8+, iOS 8+ + // https://bugs.webkit.org/show_bug.cgi?id=136851 + // In-page `selector#id sibling-combinator selector` fails + if ( !el.querySelectorAll( "a#" + expando + "+*" ).length ) { + rbuggyQSA.push( ".#.+[+~]" ); + } + + // Support: Firefox <=3.6 - 5 only + // Old Firefox doesn't throw on a badly-escaped identifier. + el.querySelectorAll( "\\\f" ); + rbuggyQSA.push( "[\\r\\n\\f]" ); + } ); + + assert( function( el ) { + el.innerHTML = "" + + ""; + + // Support: Windows 8 Native Apps + // The type and name attributes are restricted during .innerHTML assignment + var input = document.createElement( "input" ); + input.setAttribute( "type", "hidden" ); + el.appendChild( input ).setAttribute( "name", "D" ); + + // Support: IE8 + // Enforce case-sensitivity of name attribute + if ( el.querySelectorAll( "[name=d]" ).length ) { + rbuggyQSA.push( "name" + whitespace + "*[*^$|!~]?=" ); + } + + // FF 3.5 - :enabled/:disabled and hidden elements (hidden elements are still enabled) + // IE8 throws error here and will not see later tests + if ( el.querySelectorAll( ":enabled" ).length !== 2 ) { + rbuggyQSA.push( ":enabled", ":disabled" ); + } + + // Support: IE9-11+ + // IE's :disabled selector does not pick up the children of disabled fieldsets + docElem.appendChild( el ).disabled = true; + if ( el.querySelectorAll( ":disabled" ).length !== 2 ) { + rbuggyQSA.push( ":enabled", ":disabled" ); + } + + // Support: Opera 10 - 11 only + // Opera 10-11 does not throw on post-comma invalid pseudos + el.querySelectorAll( "*,:x" ); + rbuggyQSA.push( ",.*:" ); + } ); + } + + if ( ( support.matchesSelector = rnative.test( ( matches = docElem.matches || + docElem.webkitMatchesSelector || + docElem.mozMatchesSelector || + docElem.oMatchesSelector || + docElem.msMatchesSelector ) ) ) ) { + + assert( function( el ) { + + // Check to see if it's possible to do matchesSelector + // on a disconnected node (IE 9) + support.disconnectedMatch = matches.call( el, "*" ); + + // This should fail with an exception + // Gecko does not error, returns false instead + matches.call( el, "[s!='']:x" ); + rbuggyMatches.push( "!=", pseudos ); + } ); + } + + rbuggyQSA = rbuggyQSA.length && new RegExp( rbuggyQSA.join( "|" ) ); + rbuggyMatches = rbuggyMatches.length && new RegExp( rbuggyMatches.join( "|" ) ); + + /* Contains + ---------------------------------------------------------------------- */ + hasCompare = rnative.test( docElem.compareDocumentPosition ); + + // Element contains another + // Purposefully self-exclusive + // As in, an element does not contain itself + contains = hasCompare || rnative.test( docElem.contains ) ? + function( a, b ) { + var adown = a.nodeType === 9 ? a.documentElement : a, + bup = b && b.parentNode; + return a === bup || !!( bup && bup.nodeType === 1 && ( + adown.contains ? + adown.contains( bup ) : + a.compareDocumentPosition && a.compareDocumentPosition( bup ) & 16 + ) ); + } : + function( a, b ) { + if ( b ) { + while ( ( b = b.parentNode ) ) { + if ( b === a ) { + return true; + } + } + } + return false; + }; + + /* Sorting + ---------------------------------------------------------------------- */ + + // Document order sorting + sortOrder = hasCompare ? + function( a, b ) { + + // Flag for duplicate removal + if ( a === b ) { + hasDuplicate = true; + return 0; + } + + // Sort on method existence if only one input has compareDocumentPosition + var compare = !a.compareDocumentPosition - !b.compareDocumentPosition; + if ( compare ) { + return compare; + } + + // Calculate position if both inputs belong to the same document + // Support: IE 11+, Edge 17 - 18+ + // IE/Edge sometimes throw a "Permission denied" error when strict-comparing + // two documents; shallow comparisons work. + // eslint-disable-next-line eqeqeq + compare = ( a.ownerDocument || a ) == ( b.ownerDocument || b ) ? + a.compareDocumentPosition( b ) : + + // Otherwise we know they are disconnected + 1; + + // Disconnected nodes + if ( compare & 1 || + ( !support.sortDetached && b.compareDocumentPosition( a ) === compare ) ) { + + // Choose the first element that is related to our preferred document + // Support: IE 11+, Edge 17 - 18+ + // IE/Edge sometimes throw a "Permission denied" error when strict-comparing + // two documents; shallow comparisons work. + // eslint-disable-next-line eqeqeq + if ( a == document || a.ownerDocument == preferredDoc && + contains( preferredDoc, a ) ) { + return -1; + } + + // Support: IE 11+, Edge 17 - 18+ + // IE/Edge sometimes throw a "Permission denied" error when strict-comparing + // two documents; shallow comparisons work. + // eslint-disable-next-line eqeqeq + if ( b == document || b.ownerDocument == preferredDoc && + contains( preferredDoc, b ) ) { + return 1; + } + + // Maintain original order + return sortInput ? + ( indexOf( sortInput, a ) - indexOf( sortInput, b ) ) : + 0; + } + + return compare & 4 ? -1 : 1; + } : + function( a, b ) { + + // Exit early if the nodes are identical + if ( a === b ) { + hasDuplicate = true; + return 0; + } + + var cur, + i = 0, + aup = a.parentNode, + bup = b.parentNode, + ap = [ a ], + bp = [ b ]; + + // Parentless nodes are either documents or disconnected + if ( !aup || !bup ) { + + // Support: IE 11+, Edge 17 - 18+ + // IE/Edge sometimes throw a "Permission denied" error when strict-comparing + // two documents; shallow comparisons work. + /* eslint-disable eqeqeq */ + return a == document ? -1 : + b == document ? 1 : + /* eslint-enable eqeqeq */ + aup ? -1 : + bup ? 1 : + sortInput ? + ( indexOf( sortInput, a ) - indexOf( sortInput, b ) ) : + 0; + + // If the nodes are siblings, we can do a quick check + } else if ( aup === bup ) { + return siblingCheck( a, b ); + } + + // Otherwise we need full lists of their ancestors for comparison + cur = a; + while ( ( cur = cur.parentNode ) ) { + ap.unshift( cur ); + } + cur = b; + while ( ( cur = cur.parentNode ) ) { + bp.unshift( cur ); + } + + // Walk down the tree looking for a discrepancy + while ( ap[ i ] === bp[ i ] ) { + i++; + } + + return i ? + + // Do a sibling check if the nodes have a common ancestor + siblingCheck( ap[ i ], bp[ i ] ) : + + // Otherwise nodes in our document sort first + // Support: IE 11+, Edge 17 - 18+ + // IE/Edge sometimes throw a "Permission denied" error when strict-comparing + // two documents; shallow comparisons work. + /* eslint-disable eqeqeq */ + ap[ i ] == preferredDoc ? -1 : + bp[ i ] == preferredDoc ? 1 : + /* eslint-enable eqeqeq */ + 0; + }; + + return document; +}; + +Sizzle.matches = function( expr, elements ) { + return Sizzle( expr, null, null, elements ); +}; + +Sizzle.matchesSelector = function( elem, expr ) { + setDocument( elem ); + + if ( support.matchesSelector && documentIsHTML && + !nonnativeSelectorCache[ expr + " " ] && + ( !rbuggyMatches || !rbuggyMatches.test( expr ) ) && + ( !rbuggyQSA || !rbuggyQSA.test( expr ) ) ) { + + try { + var ret = matches.call( elem, expr ); + + // IE 9's matchesSelector returns false on disconnected nodes + if ( ret || support.disconnectedMatch || + + // As well, disconnected nodes are said to be in a document + // fragment in IE 9 + elem.document && elem.document.nodeType !== 11 ) { + return ret; + } + } catch ( e ) { + nonnativeSelectorCache( expr, true ); + } + } + + return Sizzle( expr, document, null, [ elem ] ).length > 0; +}; + +Sizzle.contains = function( context, elem ) { + + // Set document vars if needed + // Support: IE 11+, Edge 17 - 18+ + // IE/Edge sometimes throw a "Permission denied" error when strict-comparing + // two documents; shallow comparisons work. + // eslint-disable-next-line eqeqeq + if ( ( context.ownerDocument || context ) != document ) { + setDocument( context ); + } + return contains( context, elem ); +}; + +Sizzle.attr = function( elem, name ) { + + // Set document vars if needed + // Support: IE 11+, Edge 17 - 18+ + // IE/Edge sometimes throw a "Permission denied" error when strict-comparing + // two documents; shallow comparisons work. + // eslint-disable-next-line eqeqeq + if ( ( elem.ownerDocument || elem ) != document ) { + setDocument( elem ); + } + + var fn = Expr.attrHandle[ name.toLowerCase() ], + + // Don't get fooled by Object.prototype properties (jQuery #13807) + val = fn && hasOwn.call( Expr.attrHandle, name.toLowerCase() ) ? + fn( elem, name, !documentIsHTML ) : + undefined; + + return val !== undefined ? + val : + support.attributes || !documentIsHTML ? + elem.getAttribute( name ) : + ( val = elem.getAttributeNode( name ) ) && val.specified ? + val.value : + null; +}; + +Sizzle.escape = function( sel ) { + return ( sel + "" ).replace( rcssescape, fcssescape ); +}; + +Sizzle.error = function( msg ) { + throw new Error( "Syntax error, unrecognized expression: " + msg ); +}; + +/** + * Document sorting and removing duplicates + * @param {ArrayLike} results + */ +Sizzle.uniqueSort = function( results ) { + var elem, + duplicates = [], + j = 0, + i = 0; + + // Unless we *know* we can detect duplicates, assume their presence + hasDuplicate = !support.detectDuplicates; + sortInput = !support.sortStable && results.slice( 0 ); + results.sort( sortOrder ); + + if ( hasDuplicate ) { + while ( ( elem = results[ i++ ] ) ) { + if ( elem === results[ i ] ) { + j = duplicates.push( i ); + } + } + while ( j-- ) { + results.splice( duplicates[ j ], 1 ); + } + } + + // Clear input after sorting to release objects + // See https://github.com/jquery/sizzle/pull/225 + sortInput = null; + + return results; +}; + +/** + * Utility function for retrieving the text value of an array of DOM nodes + * @param {Array|Element} elem + */ +getText = Sizzle.getText = function( elem ) { + var node, + ret = "", + i = 0, + nodeType = elem.nodeType; + + if ( !nodeType ) { + + // If no nodeType, this is expected to be an array + while ( ( node = elem[ i++ ] ) ) { + + // Do not traverse comment nodes + ret += getText( node ); + } + } else if ( nodeType === 1 || nodeType === 9 || nodeType === 11 ) { + + // Use textContent for elements + // innerText usage removed for consistency of new lines (jQuery #11153) + if ( typeof elem.textContent === "string" ) { + return elem.textContent; + } else { + + // Traverse its children + for ( elem = elem.firstChild; elem; elem = elem.nextSibling ) { + ret += getText( elem ); + } + } + } else if ( nodeType === 3 || nodeType === 4 ) { + return elem.nodeValue; + } + + // Do not include comment or processing instruction nodes + + return ret; +}; + +Expr = Sizzle.selectors = { + + // Can be adjusted by the user + cacheLength: 50, + + createPseudo: markFunction, + + match: matchExpr, + + attrHandle: {}, + + find: {}, + + relative: { + ">": { dir: "parentNode", first: true }, + " ": { dir: "parentNode" }, + "+": { dir: "previousSibling", first: true }, + "~": { dir: "previousSibling" } + }, + + preFilter: { + "ATTR": function( match ) { + match[ 1 ] = match[ 1 ].replace( runescape, funescape ); + + // Move the given value to match[3] whether quoted or unquoted + match[ 3 ] = ( match[ 3 ] || match[ 4 ] || + match[ 5 ] || "" ).replace( runescape, funescape ); + + if ( match[ 2 ] === "~=" ) { + match[ 3 ] = " " + match[ 3 ] + " "; + } + + return match.slice( 0, 4 ); + }, + + "CHILD": function( match ) { + + /* matches from matchExpr["CHILD"] + 1 type (only|nth|...) + 2 what (child|of-type) + 3 argument (even|odd|\d*|\d*n([+-]\d+)?|...) + 4 xn-component of xn+y argument ([+-]?\d*n|) + 5 sign of xn-component + 6 x of xn-component + 7 sign of y-component + 8 y of y-component + */ + match[ 1 ] = match[ 1 ].toLowerCase(); + + if ( match[ 1 ].slice( 0, 3 ) === "nth" ) { + + // nth-* requires argument + if ( !match[ 3 ] ) { + Sizzle.error( match[ 0 ] ); + } + + // numeric x and y parameters for Expr.filter.CHILD + // remember that false/true cast respectively to 0/1 + match[ 4 ] = +( match[ 4 ] ? + match[ 5 ] + ( match[ 6 ] || 1 ) : + 2 * ( match[ 3 ] === "even" || match[ 3 ] === "odd" ) ); + match[ 5 ] = +( ( match[ 7 ] + match[ 8 ] ) || match[ 3 ] === "odd" ); + + // other types prohibit arguments + } else if ( match[ 3 ] ) { + Sizzle.error( match[ 0 ] ); + } + + return match; + }, + + "PSEUDO": function( match ) { + var excess, + unquoted = !match[ 6 ] && match[ 2 ]; + + if ( matchExpr[ "CHILD" ].test( match[ 0 ] ) ) { + return null; + } + + // Accept quoted arguments as-is + if ( match[ 3 ] ) { + match[ 2 ] = match[ 4 ] || match[ 5 ] || ""; + + // Strip excess characters from unquoted arguments + } else if ( unquoted && rpseudo.test( unquoted ) && + + // Get excess from tokenize (recursively) + ( excess = tokenize( unquoted, true ) ) && + + // advance to the next closing parenthesis + ( excess = unquoted.indexOf( ")", unquoted.length - excess ) - unquoted.length ) ) { + + // excess is a negative index + match[ 0 ] = match[ 0 ].slice( 0, excess ); + match[ 2 ] = unquoted.slice( 0, excess ); + } + + // Return only captures needed by the pseudo filter method (type and argument) + return match.slice( 0, 3 ); + } + }, + + filter: { + + "TAG": function( nodeNameSelector ) { + var nodeName = nodeNameSelector.replace( runescape, funescape ).toLowerCase(); + return nodeNameSelector === "*" ? + function() { + return true; + } : + function( elem ) { + return elem.nodeName && elem.nodeName.toLowerCase() === nodeName; + }; + }, + + "CLASS": function( className ) { + var pattern = classCache[ className + " " ]; + + return pattern || + ( pattern = new RegExp( "(^|" + whitespace + + ")" + className + "(" + whitespace + "|$)" ) ) && classCache( + className, function( elem ) { + return pattern.test( + typeof elem.className === "string" && elem.className || + typeof elem.getAttribute !== "undefined" && + elem.getAttribute( "class" ) || + "" + ); + } ); + }, + + "ATTR": function( name, operator, check ) { + return function( elem ) { + var result = Sizzle.attr( elem, name ); + + if ( result == null ) { + return operator === "!="; + } + if ( !operator ) { + return true; + } + + result += ""; + + /* eslint-disable max-len */ + + return operator === "=" ? result === check : + operator === "!=" ? result !== check : + operator === "^=" ? check && result.indexOf( check ) === 0 : + operator === "*=" ? check && result.indexOf( check ) > -1 : + operator === "$=" ? check && result.slice( -check.length ) === check : + operator === "~=" ? ( " " + result.replace( rwhitespace, " " ) + " " ).indexOf( check ) > -1 : + operator === "|=" ? result === check || result.slice( 0, check.length + 1 ) === check + "-" : + false; + /* eslint-enable max-len */ + + }; + }, + + "CHILD": function( type, what, _argument, first, last ) { + var simple = type.slice( 0, 3 ) !== "nth", + forward = type.slice( -4 ) !== "last", + ofType = what === "of-type"; + + return first === 1 && last === 0 ? + + // Shortcut for :nth-*(n) + function( elem ) { + return !!elem.parentNode; + } : + + function( elem, _context, xml ) { + var cache, uniqueCache, outerCache, node, nodeIndex, start, + dir = simple !== forward ? "nextSibling" : "previousSibling", + parent = elem.parentNode, + name = ofType && elem.nodeName.toLowerCase(), + useCache = !xml && !ofType, + diff = false; + + if ( parent ) { + + // :(first|last|only)-(child|of-type) + if ( simple ) { + while ( dir ) { + node = elem; + while ( ( node = node[ dir ] ) ) { + if ( ofType ? + node.nodeName.toLowerCase() === name : + node.nodeType === 1 ) { + + return false; + } + } + + // Reverse direction for :only-* (if we haven't yet done so) + start = dir = type === "only" && !start && "nextSibling"; + } + return true; + } + + start = [ forward ? parent.firstChild : parent.lastChild ]; + + // non-xml :nth-child(...) stores cache data on `parent` + if ( forward && useCache ) { + + // Seek `elem` from a previously-cached index + + // ...in a gzip-friendly way + node = parent; + outerCache = node[ expando ] || ( node[ expando ] = {} ); + + // Support: IE <9 only + // Defend against cloned attroperties (jQuery gh-1709) + uniqueCache = outerCache[ node.uniqueID ] || + ( outerCache[ node.uniqueID ] = {} ); + + cache = uniqueCache[ type ] || []; + nodeIndex = cache[ 0 ] === dirruns && cache[ 1 ]; + diff = nodeIndex && cache[ 2 ]; + node = nodeIndex && parent.childNodes[ nodeIndex ]; + + while ( ( node = ++nodeIndex && node && node[ dir ] || + + // Fallback to seeking `elem` from the start + ( diff = nodeIndex = 0 ) || start.pop() ) ) { + + // When found, cache indexes on `parent` and break + if ( node.nodeType === 1 && ++diff && node === elem ) { + uniqueCache[ type ] = [ dirruns, nodeIndex, diff ]; + break; + } + } + + } else { + + // Use previously-cached element index if available + if ( useCache ) { + + // ...in a gzip-friendly way + node = elem; + outerCache = node[ expando ] || ( node[ expando ] = {} ); + + // Support: IE <9 only + // Defend against cloned attroperties (jQuery gh-1709) + uniqueCache = outerCache[ node.uniqueID ] || + ( outerCache[ node.uniqueID ] = {} ); + + cache = uniqueCache[ type ] || []; + nodeIndex = cache[ 0 ] === dirruns && cache[ 1 ]; + diff = nodeIndex; + } + + // xml :nth-child(...) + // or :nth-last-child(...) or :nth(-last)?-of-type(...) + if ( diff === false ) { + + // Use the same loop as above to seek `elem` from the start + while ( ( node = ++nodeIndex && node && node[ dir ] || + ( diff = nodeIndex = 0 ) || start.pop() ) ) { + + if ( ( ofType ? + node.nodeName.toLowerCase() === name : + node.nodeType === 1 ) && + ++diff ) { + + // Cache the index of each encountered element + if ( useCache ) { + outerCache = node[ expando ] || + ( node[ expando ] = {} ); + + // Support: IE <9 only + // Defend against cloned attroperties (jQuery gh-1709) + uniqueCache = outerCache[ node.uniqueID ] || + ( outerCache[ node.uniqueID ] = {} ); + + uniqueCache[ type ] = [ dirruns, diff ]; + } + + if ( node === elem ) { + break; + } + } + } + } + } + + // Incorporate the offset, then check against cycle size + diff -= last; + return diff === first || ( diff % first === 0 && diff / first >= 0 ); + } + }; + }, + + "PSEUDO": function( pseudo, argument ) { + + // pseudo-class names are case-insensitive + // http://www.w3.org/TR/selectors/#pseudo-classes + // Prioritize by case sensitivity in case custom pseudos are added with uppercase letters + // Remember that setFilters inherits from pseudos + var args, + fn = Expr.pseudos[ pseudo ] || Expr.setFilters[ pseudo.toLowerCase() ] || + Sizzle.error( "unsupported pseudo: " + pseudo ); + + // The user may use createPseudo to indicate that + // arguments are needed to create the filter function + // just as Sizzle does + if ( fn[ expando ] ) { + return fn( argument ); + } + + // But maintain support for old signatures + if ( fn.length > 1 ) { + args = [ pseudo, pseudo, "", argument ]; + return Expr.setFilters.hasOwnProperty( pseudo.toLowerCase() ) ? + markFunction( function( seed, matches ) { + var idx, + matched = fn( seed, argument ), + i = matched.length; + while ( i-- ) { + idx = indexOf( seed, matched[ i ] ); + seed[ idx ] = !( matches[ idx ] = matched[ i ] ); + } + } ) : + function( elem ) { + return fn( elem, 0, args ); + }; + } + + return fn; + } + }, + + pseudos: { + + // Potentially complex pseudos + "not": markFunction( function( selector ) { + + // Trim the selector passed to compile + // to avoid treating leading and trailing + // spaces as combinators + var input = [], + results = [], + matcher = compile( selector.replace( rtrim, "$1" ) ); + + return matcher[ expando ] ? + markFunction( function( seed, matches, _context, xml ) { + var elem, + unmatched = matcher( seed, null, xml, [] ), + i = seed.length; + + // Match elements unmatched by `matcher` + while ( i-- ) { + if ( ( elem = unmatched[ i ] ) ) { + seed[ i ] = !( matches[ i ] = elem ); + } + } + } ) : + function( elem, _context, xml ) { + input[ 0 ] = elem; + matcher( input, null, xml, results ); + + // Don't keep the element (issue #299) + input[ 0 ] = null; + return !results.pop(); + }; + } ), + + "has": markFunction( function( selector ) { + return function( elem ) { + return Sizzle( selector, elem ).length > 0; + }; + } ), + + "contains": markFunction( function( text ) { + text = text.replace( runescape, funescape ); + return function( elem ) { + return ( elem.textContent || getText( elem ) ).indexOf( text ) > -1; + }; + } ), + + // "Whether an element is represented by a :lang() selector + // is based solely on the element's language value + // being equal to the identifier C, + // or beginning with the identifier C immediately followed by "-". + // The matching of C against the element's language value is performed case-insensitively. + // The identifier C does not have to be a valid language name." + // http://www.w3.org/TR/selectors/#lang-pseudo + "lang": markFunction( function( lang ) { + + // lang value must be a valid identifier + if ( !ridentifier.test( lang || "" ) ) { + Sizzle.error( "unsupported lang: " + lang ); + } + lang = lang.replace( runescape, funescape ).toLowerCase(); + return function( elem ) { + var elemLang; + do { + if ( ( elemLang = documentIsHTML ? + elem.lang : + elem.getAttribute( "xml:lang" ) || elem.getAttribute( "lang" ) ) ) { + + elemLang = elemLang.toLowerCase(); + return elemLang === lang || elemLang.indexOf( lang + "-" ) === 0; + } + } while ( ( elem = elem.parentNode ) && elem.nodeType === 1 ); + return false; + }; + } ), + + // Miscellaneous + "target": function( elem ) { + var hash = window.location && window.location.hash; + return hash && hash.slice( 1 ) === elem.id; + }, + + "root": function( elem ) { + return elem === docElem; + }, + + "focus": function( elem ) { + return elem === document.activeElement && + ( !document.hasFocus || document.hasFocus() ) && + !!( elem.type || elem.href || ~elem.tabIndex ); + }, + + // Boolean properties + "enabled": createDisabledPseudo( false ), + "disabled": createDisabledPseudo( true ), + + "checked": function( elem ) { + + // In CSS3, :checked should return both checked and selected elements + // http://www.w3.org/TR/2011/REC-css3-selectors-20110929/#checked + var nodeName = elem.nodeName.toLowerCase(); + return ( nodeName === "input" && !!elem.checked ) || + ( nodeName === "option" && !!elem.selected ); + }, + + "selected": function( elem ) { + + // Accessing this property makes selected-by-default + // options in Safari work properly + if ( elem.parentNode ) { + // eslint-disable-next-line no-unused-expressions + elem.parentNode.selectedIndex; + } + + return elem.selected === true; + }, + + // Contents + "empty": function( elem ) { + + // http://www.w3.org/TR/selectors/#empty-pseudo + // :empty is negated by element (1) or content nodes (text: 3; cdata: 4; entity ref: 5), + // but not by others (comment: 8; processing instruction: 7; etc.) + // nodeType < 6 works because attributes (2) do not appear as children + for ( elem = elem.firstChild; elem; elem = elem.nextSibling ) { + if ( elem.nodeType < 6 ) { + return false; + } + } + return true; + }, + + "parent": function( elem ) { + return !Expr.pseudos[ "empty" ]( elem ); + }, + + // Element/input types + "header": function( elem ) { + return rheader.test( elem.nodeName ); + }, + + "input": function( elem ) { + return rinputs.test( elem.nodeName ); + }, + + "button": function( elem ) { + var name = elem.nodeName.toLowerCase(); + return name === "input" && elem.type === "button" || name === "button"; + }, + + "text": function( elem ) { + var attr; + return elem.nodeName.toLowerCase() === "input" && + elem.type === "text" && + + // Support: IE<8 + // New HTML5 attribute values (e.g., "search") appear with elem.type === "text" + ( ( attr = elem.getAttribute( "type" ) ) == null || + attr.toLowerCase() === "text" ); + }, + + // Position-in-collection + "first": createPositionalPseudo( function() { + return [ 0 ]; + } ), + + "last": createPositionalPseudo( function( _matchIndexes, length ) { + return [ length - 1 ]; + } ), + + "eq": createPositionalPseudo( function( _matchIndexes, length, argument ) { + return [ argument < 0 ? argument + length : argument ]; + } ), + + "even": createPositionalPseudo( function( matchIndexes, length ) { + var i = 0; + for ( ; i < length; i += 2 ) { + matchIndexes.push( i ); + } + return matchIndexes; + } ), + + "odd": createPositionalPseudo( function( matchIndexes, length ) { + var i = 1; + for ( ; i < length; i += 2 ) { + matchIndexes.push( i ); + } + return matchIndexes; + } ), + + "lt": createPositionalPseudo( function( matchIndexes, length, argument ) { + var i = argument < 0 ? + argument + length : + argument > length ? + length : + argument; + for ( ; --i >= 0; ) { + matchIndexes.push( i ); + } + return matchIndexes; + } ), + + "gt": createPositionalPseudo( function( matchIndexes, length, argument ) { + var i = argument < 0 ? argument + length : argument; + for ( ; ++i < length; ) { + matchIndexes.push( i ); + } + return matchIndexes; + } ) + } +}; + +Expr.pseudos[ "nth" ] = Expr.pseudos[ "eq" ]; + +// Add button/input type pseudos +for ( i in { radio: true, checkbox: true, file: true, password: true, image: true } ) { + Expr.pseudos[ i ] = createInputPseudo( i ); +} +for ( i in { submit: true, reset: true } ) { + Expr.pseudos[ i ] = createButtonPseudo( i ); +} + +// Easy API for creating new setFilters +function setFilters() {} +setFilters.prototype = Expr.filters = Expr.pseudos; +Expr.setFilters = new setFilters(); + +tokenize = Sizzle.tokenize = function( selector, parseOnly ) { + var matched, match, tokens, type, + soFar, groups, preFilters, + cached = tokenCache[ selector + " " ]; + + if ( cached ) { + return parseOnly ? 0 : cached.slice( 0 ); + } + + soFar = selector; + groups = []; + preFilters = Expr.preFilter; + + while ( soFar ) { + + // Comma and first run + if ( !matched || ( match = rcomma.exec( soFar ) ) ) { + if ( match ) { + + // Don't consume trailing commas as valid + soFar = soFar.slice( match[ 0 ].length ) || soFar; + } + groups.push( ( tokens = [] ) ); + } + + matched = false; + + // Combinators + if ( ( match = rcombinators.exec( soFar ) ) ) { + matched = match.shift(); + tokens.push( { + value: matched, + + // Cast descendant combinators to space + type: match[ 0 ].replace( rtrim, " " ) + } ); + soFar = soFar.slice( matched.length ); + } + + // Filters + for ( type in Expr.filter ) { + if ( ( match = matchExpr[ type ].exec( soFar ) ) && ( !preFilters[ type ] || + ( match = preFilters[ type ]( match ) ) ) ) { + matched = match.shift(); + tokens.push( { + value: matched, + type: type, + matches: match + } ); + soFar = soFar.slice( matched.length ); + } + } + + if ( !matched ) { + break; + } + } + + // Return the length of the invalid excess + // if we're just parsing + // Otherwise, throw an error or return tokens + return parseOnly ? + soFar.length : + soFar ? + Sizzle.error( selector ) : + + // Cache the tokens + tokenCache( selector, groups ).slice( 0 ); +}; + +function toSelector( tokens ) { + var i = 0, + len = tokens.length, + selector = ""; + for ( ; i < len; i++ ) { + selector += tokens[ i ].value; + } + return selector; +} + +function addCombinator( matcher, combinator, base ) { + var dir = combinator.dir, + skip = combinator.next, + key = skip || dir, + checkNonElements = base && key === "parentNode", + doneName = done++; + + return combinator.first ? + + // Check against closest ancestor/preceding element + function( elem, context, xml ) { + while ( ( elem = elem[ dir ] ) ) { + if ( elem.nodeType === 1 || checkNonElements ) { + return matcher( elem, context, xml ); + } + } + return false; + } : + + // Check against all ancestor/preceding elements + function( elem, context, xml ) { + var oldCache, uniqueCache, outerCache, + newCache = [ dirruns, doneName ]; + + // We can't set arbitrary data on XML nodes, so they don't benefit from combinator caching + if ( xml ) { + while ( ( elem = elem[ dir ] ) ) { + if ( elem.nodeType === 1 || checkNonElements ) { + if ( matcher( elem, context, xml ) ) { + return true; + } + } + } + } else { + while ( ( elem = elem[ dir ] ) ) { + if ( elem.nodeType === 1 || checkNonElements ) { + outerCache = elem[ expando ] || ( elem[ expando ] = {} ); + + // Support: IE <9 only + // Defend against cloned attroperties (jQuery gh-1709) + uniqueCache = outerCache[ elem.uniqueID ] || + ( outerCache[ elem.uniqueID ] = {} ); + + if ( skip && skip === elem.nodeName.toLowerCase() ) { + elem = elem[ dir ] || elem; + } else if ( ( oldCache = uniqueCache[ key ] ) && + oldCache[ 0 ] === dirruns && oldCache[ 1 ] === doneName ) { + + // Assign to newCache so results back-propagate to previous elements + return ( newCache[ 2 ] = oldCache[ 2 ] ); + } else { + + // Reuse newcache so results back-propagate to previous elements + uniqueCache[ key ] = newCache; + + // A match means we're done; a fail means we have to keep checking + if ( ( newCache[ 2 ] = matcher( elem, context, xml ) ) ) { + return true; + } + } + } + } + } + return false; + }; +} + +function elementMatcher( matchers ) { + return matchers.length > 1 ? + function( elem, context, xml ) { + var i = matchers.length; + while ( i-- ) { + if ( !matchers[ i ]( elem, context, xml ) ) { + return false; + } + } + return true; + } : + matchers[ 0 ]; +} + +function multipleContexts( selector, contexts, results ) { + var i = 0, + len = contexts.length; + for ( ; i < len; i++ ) { + Sizzle( selector, contexts[ i ], results ); + } + return results; +} + +function condense( unmatched, map, filter, context, xml ) { + var elem, + newUnmatched = [], + i = 0, + len = unmatched.length, + mapped = map != null; + + for ( ; i < len; i++ ) { + if ( ( elem = unmatched[ i ] ) ) { + if ( !filter || filter( elem, context, xml ) ) { + newUnmatched.push( elem ); + if ( mapped ) { + map.push( i ); + } + } + } + } + + return newUnmatched; +} + +function setMatcher( preFilter, selector, matcher, postFilter, postFinder, postSelector ) { + if ( postFilter && !postFilter[ expando ] ) { + postFilter = setMatcher( postFilter ); + } + if ( postFinder && !postFinder[ expando ] ) { + postFinder = setMatcher( postFinder, postSelector ); + } + return markFunction( function( seed, results, context, xml ) { + var temp, i, elem, + preMap = [], + postMap = [], + preexisting = results.length, + + // Get initial elements from seed or context + elems = seed || multipleContexts( + selector || "*", + context.nodeType ? [ context ] : context, + [] + ), + + // Prefilter to get matcher input, preserving a map for seed-results synchronization + matcherIn = preFilter && ( seed || !selector ) ? + condense( elems, preMap, preFilter, context, xml ) : + elems, + + matcherOut = matcher ? + + // If we have a postFinder, or filtered seed, or non-seed postFilter or preexisting results, + postFinder || ( seed ? preFilter : preexisting || postFilter ) ? + + // ...intermediate processing is necessary + [] : + + // ...otherwise use results directly + results : + matcherIn; + + // Find primary matches + if ( matcher ) { + matcher( matcherIn, matcherOut, context, xml ); + } + + // Apply postFilter + if ( postFilter ) { + temp = condense( matcherOut, postMap ); + postFilter( temp, [], context, xml ); + + // Un-match failing elements by moving them back to matcherIn + i = temp.length; + while ( i-- ) { + if ( ( elem = temp[ i ] ) ) { + matcherOut[ postMap[ i ] ] = !( matcherIn[ postMap[ i ] ] = elem ); + } + } + } + + if ( seed ) { + if ( postFinder || preFilter ) { + if ( postFinder ) { + + // Get the final matcherOut by condensing this intermediate into postFinder contexts + temp = []; + i = matcherOut.length; + while ( i-- ) { + if ( ( elem = matcherOut[ i ] ) ) { + + // Restore matcherIn since elem is not yet a final match + temp.push( ( matcherIn[ i ] = elem ) ); + } + } + postFinder( null, ( matcherOut = [] ), temp, xml ); + } + + // Move matched elements from seed to results to keep them synchronized + i = matcherOut.length; + while ( i-- ) { + if ( ( elem = matcherOut[ i ] ) && + ( temp = postFinder ? indexOf( seed, elem ) : preMap[ i ] ) > -1 ) { + + seed[ temp ] = !( results[ temp ] = elem ); + } + } + } + + // Add elements to results, through postFinder if defined + } else { + matcherOut = condense( + matcherOut === results ? + matcherOut.splice( preexisting, matcherOut.length ) : + matcherOut + ); + if ( postFinder ) { + postFinder( null, results, matcherOut, xml ); + } else { + push.apply( results, matcherOut ); + } + } + } ); +} + +function matcherFromTokens( tokens ) { + var checkContext, matcher, j, + len = tokens.length, + leadingRelative = Expr.relative[ tokens[ 0 ].type ], + implicitRelative = leadingRelative || Expr.relative[ " " ], + i = leadingRelative ? 1 : 0, + + // The foundational matcher ensures that elements are reachable from top-level context(s) + matchContext = addCombinator( function( elem ) { + return elem === checkContext; + }, implicitRelative, true ), + matchAnyContext = addCombinator( function( elem ) { + return indexOf( checkContext, elem ) > -1; + }, implicitRelative, true ), + matchers = [ function( elem, context, xml ) { + var ret = ( !leadingRelative && ( xml || context !== outermostContext ) ) || ( + ( checkContext = context ).nodeType ? + matchContext( elem, context, xml ) : + matchAnyContext( elem, context, xml ) ); + + // Avoid hanging onto element (issue #299) + checkContext = null; + return ret; + } ]; + + for ( ; i < len; i++ ) { + if ( ( matcher = Expr.relative[ tokens[ i ].type ] ) ) { + matchers = [ addCombinator( elementMatcher( matchers ), matcher ) ]; + } else { + matcher = Expr.filter[ tokens[ i ].type ].apply( null, tokens[ i ].matches ); + + // Return special upon seeing a positional matcher + if ( matcher[ expando ] ) { + + // Find the next relative operator (if any) for proper handling + j = ++i; + for ( ; j < len; j++ ) { + if ( Expr.relative[ tokens[ j ].type ] ) { + break; + } + } + return setMatcher( + i > 1 && elementMatcher( matchers ), + i > 1 && toSelector( + + // If the preceding token was a descendant combinator, insert an implicit any-element `*` + tokens + .slice( 0, i - 1 ) + .concat( { value: tokens[ i - 2 ].type === " " ? "*" : "" } ) + ).replace( rtrim, "$1" ), + matcher, + i < j && matcherFromTokens( tokens.slice( i, j ) ), + j < len && matcherFromTokens( ( tokens = tokens.slice( j ) ) ), + j < len && toSelector( tokens ) + ); + } + matchers.push( matcher ); + } + } + + return elementMatcher( matchers ); +} + +function matcherFromGroupMatchers( elementMatchers, setMatchers ) { + var bySet = setMatchers.length > 0, + byElement = elementMatchers.length > 0, + superMatcher = function( seed, context, xml, results, outermost ) { + var elem, j, matcher, + matchedCount = 0, + i = "0", + unmatched = seed && [], + setMatched = [], + contextBackup = outermostContext, + + // We must always have either seed elements or outermost context + elems = seed || byElement && Expr.find[ "TAG" ]( "*", outermost ), + + // Use integer dirruns iff this is the outermost matcher + dirrunsUnique = ( dirruns += contextBackup == null ? 1 : Math.random() || 0.1 ), + len = elems.length; + + if ( outermost ) { + + // Support: IE 11+, Edge 17 - 18+ + // IE/Edge sometimes throw a "Permission denied" error when strict-comparing + // two documents; shallow comparisons work. + // eslint-disable-next-line eqeqeq + outermostContext = context == document || context || outermost; + } + + // Add elements passing elementMatchers directly to results + // Support: IE<9, Safari + // Tolerate NodeList properties (IE: "length"; Safari: ) matching elements by id + for ( ; i !== len && ( elem = elems[ i ] ) != null; i++ ) { + if ( byElement && elem ) { + j = 0; + + // Support: IE 11+, Edge 17 - 18+ + // IE/Edge sometimes throw a "Permission denied" error when strict-comparing + // two documents; shallow comparisons work. + // eslint-disable-next-line eqeqeq + if ( !context && elem.ownerDocument != document ) { + setDocument( elem ); + xml = !documentIsHTML; + } + while ( ( matcher = elementMatchers[ j++ ] ) ) { + if ( matcher( elem, context || document, xml ) ) { + results.push( elem ); + break; + } + } + if ( outermost ) { + dirruns = dirrunsUnique; + } + } + + // Track unmatched elements for set filters + if ( bySet ) { + + // They will have gone through all possible matchers + if ( ( elem = !matcher && elem ) ) { + matchedCount--; + } + + // Lengthen the array for every element, matched or not + if ( seed ) { + unmatched.push( elem ); + } + } + } + + // `i` is now the count of elements visited above, and adding it to `matchedCount` + // makes the latter nonnegative. + matchedCount += i; + + // Apply set filters to unmatched elements + // NOTE: This can be skipped if there are no unmatched elements (i.e., `matchedCount` + // equals `i`), unless we didn't visit _any_ elements in the above loop because we have + // no element matchers and no seed. + // Incrementing an initially-string "0" `i` allows `i` to remain a string only in that + // case, which will result in a "00" `matchedCount` that differs from `i` but is also + // numerically zero. + if ( bySet && i !== matchedCount ) { + j = 0; + while ( ( matcher = setMatchers[ j++ ] ) ) { + matcher( unmatched, setMatched, context, xml ); + } + + if ( seed ) { + + // Reintegrate element matches to eliminate the need for sorting + if ( matchedCount > 0 ) { + while ( i-- ) { + if ( !( unmatched[ i ] || setMatched[ i ] ) ) { + setMatched[ i ] = pop.call( results ); + } + } + } + + // Discard index placeholder values to get only actual matches + setMatched = condense( setMatched ); + } + + // Add matches to results + push.apply( results, setMatched ); + + // Seedless set matches succeeding multiple successful matchers stipulate sorting + if ( outermost && !seed && setMatched.length > 0 && + ( matchedCount + setMatchers.length ) > 1 ) { + + Sizzle.uniqueSort( results ); + } + } + + // Override manipulation of globals by nested matchers + if ( outermost ) { + dirruns = dirrunsUnique; + outermostContext = contextBackup; + } + + return unmatched; + }; + + return bySet ? + markFunction( superMatcher ) : + superMatcher; +} + +compile = Sizzle.compile = function( selector, match /* Internal Use Only */ ) { + var i, + setMatchers = [], + elementMatchers = [], + cached = compilerCache[ selector + " " ]; + + if ( !cached ) { + + // Generate a function of recursive functions that can be used to check each element + if ( !match ) { + match = tokenize( selector ); + } + i = match.length; + while ( i-- ) { + cached = matcherFromTokens( match[ i ] ); + if ( cached[ expando ] ) { + setMatchers.push( cached ); + } else { + elementMatchers.push( cached ); + } + } + + // Cache the compiled function + cached = compilerCache( + selector, + matcherFromGroupMatchers( elementMatchers, setMatchers ) + ); + + // Save selector and tokenization + cached.selector = selector; + } + return cached; +}; + +/** + * A low-level selection function that works with Sizzle's compiled + * selector functions + * @param {String|Function} selector A selector or a pre-compiled + * selector function built with Sizzle.compile + * @param {Element} context + * @param {Array} [results] + * @param {Array} [seed] A set of elements to match against + */ +select = Sizzle.select = function( selector, context, results, seed ) { + var i, tokens, token, type, find, + compiled = typeof selector === "function" && selector, + match = !seed && tokenize( ( selector = compiled.selector || selector ) ); + + results = results || []; + + // Try to minimize operations if there is only one selector in the list and no seed + // (the latter of which guarantees us context) + if ( match.length === 1 ) { + + // Reduce context if the leading compound selector is an ID + tokens = match[ 0 ] = match[ 0 ].slice( 0 ); + if ( tokens.length > 2 && ( token = tokens[ 0 ] ).type === "ID" && + context.nodeType === 9 && documentIsHTML && Expr.relative[ tokens[ 1 ].type ] ) { + + context = ( Expr.find[ "ID" ]( token.matches[ 0 ] + .replace( runescape, funescape ), context ) || [] )[ 0 ]; + if ( !context ) { + return results; + + // Precompiled matchers will still verify ancestry, so step up a level + } else if ( compiled ) { + context = context.parentNode; + } + + selector = selector.slice( tokens.shift().value.length ); + } + + // Fetch a seed set for right-to-left matching + i = matchExpr[ "needsContext" ].test( selector ) ? 0 : tokens.length; + while ( i-- ) { + token = tokens[ i ]; + + // Abort if we hit a combinator + if ( Expr.relative[ ( type = token.type ) ] ) { + break; + } + if ( ( find = Expr.find[ type ] ) ) { + + // Search, expanding context for leading sibling combinators + if ( ( seed = find( + token.matches[ 0 ].replace( runescape, funescape ), + rsibling.test( tokens[ 0 ].type ) && testContext( context.parentNode ) || + context + ) ) ) { + + // If seed is empty or no tokens remain, we can return early + tokens.splice( i, 1 ); + selector = seed.length && toSelector( tokens ); + if ( !selector ) { + push.apply( results, seed ); + return results; + } + + break; + } + } + } + } + + // Compile and execute a filtering function if one is not provided + // Provide `match` to avoid retokenization if we modified the selector above + ( compiled || compile( selector, match ) )( + seed, + context, + !documentIsHTML, + results, + !context || rsibling.test( selector ) && testContext( context.parentNode ) || context + ); + return results; +}; + +// One-time assignments + +// Sort stability +support.sortStable = expando.split( "" ).sort( sortOrder ).join( "" ) === expando; + +// Support: Chrome 14-35+ +// Always assume duplicates if they aren't passed to the comparison function +support.detectDuplicates = !!hasDuplicate; + +// Initialize against the default document +setDocument(); + +// Support: Webkit<537.32 - Safari 6.0.3/Chrome 25 (fixed in Chrome 27) +// Detached nodes confoundingly follow *each other* +support.sortDetached = assert( function( el ) { + + // Should return 1, but returns 4 (following) + return el.compareDocumentPosition( document.createElement( "fieldset" ) ) & 1; +} ); + +// Support: IE<8 +// Prevent attribute/property "interpolation" +// https://msdn.microsoft.com/en-us/library/ms536429%28VS.85%29.aspx +if ( !assert( function( el ) { + el.innerHTML = ""; + return el.firstChild.getAttribute( "href" ) === "#"; +} ) ) { + addHandle( "type|href|height|width", function( elem, name, isXML ) { + if ( !isXML ) { + return elem.getAttribute( name, name.toLowerCase() === "type" ? 1 : 2 ); + } + } ); +} + +// Support: IE<9 +// Use defaultValue in place of getAttribute("value") +if ( !support.attributes || !assert( function( el ) { + el.innerHTML = ""; + el.firstChild.setAttribute( "value", "" ); + return el.firstChild.getAttribute( "value" ) === ""; +} ) ) { + addHandle( "value", function( elem, _name, isXML ) { + if ( !isXML && elem.nodeName.toLowerCase() === "input" ) { + return elem.defaultValue; + } + } ); +} + +// Support: IE<9 +// Use getAttributeNode to fetch booleans when getAttribute lies +if ( !assert( function( el ) { + return el.getAttribute( "disabled" ) == null; +} ) ) { + addHandle( booleans, function( elem, name, isXML ) { + var val; + if ( !isXML ) { + return elem[ name ] === true ? name.toLowerCase() : + ( val = elem.getAttributeNode( name ) ) && val.specified ? + val.value : + null; + } + } ); +} + +return Sizzle; + +} )( window ); + + + +jQuery.find = Sizzle; +jQuery.expr = Sizzle.selectors; + +// Deprecated +jQuery.expr[ ":" ] = jQuery.expr.pseudos; +jQuery.uniqueSort = jQuery.unique = Sizzle.uniqueSort; +jQuery.text = Sizzle.getText; +jQuery.isXMLDoc = Sizzle.isXML; +jQuery.contains = Sizzle.contains; +jQuery.escapeSelector = Sizzle.escape; + + + + +var dir = function( elem, dir, until ) { + var matched = [], + truncate = until !== undefined; + + while ( ( elem = elem[ dir ] ) && elem.nodeType !== 9 ) { + if ( elem.nodeType === 1 ) { + if ( truncate && jQuery( elem ).is( until ) ) { + break; + } + matched.push( elem ); + } + } + return matched; +}; + + +var siblings = function( n, elem ) { + var matched = []; + + for ( ; n; n = n.nextSibling ) { + if ( n.nodeType === 1 && n !== elem ) { + matched.push( n ); + } + } + + return matched; +}; + + +var rneedsContext = jQuery.expr.match.needsContext; + + + +function nodeName( elem, name ) { + + return elem.nodeName && elem.nodeName.toLowerCase() === name.toLowerCase(); + +} +var rsingleTag = ( /^<([a-z][^\/\0>:\x20\t\r\n\f]*)[\x20\t\r\n\f]*\/?>(?:<\/\1>|)$/i ); + + + +// Implement the identical functionality for filter and not +function winnow( elements, qualifier, not ) { + if ( isFunction( qualifier ) ) { + return jQuery.grep( elements, function( elem, i ) { + return !!qualifier.call( elem, i, elem ) !== not; + } ); + } + + // Single element + if ( qualifier.nodeType ) { + return jQuery.grep( elements, function( elem ) { + return ( elem === qualifier ) !== not; + } ); + } + + // Arraylike of elements (jQuery, arguments, Array) + if ( typeof qualifier !== "string" ) { + return jQuery.grep( elements, function( elem ) { + return ( indexOf.call( qualifier, elem ) > -1 ) !== not; + } ); + } + + // Filtered directly for both simple and complex selectors + return jQuery.filter( qualifier, elements, not ); +} + +jQuery.filter = function( expr, elems, not ) { + var elem = elems[ 0 ]; + + if ( not ) { + expr = ":not(" + expr + ")"; + } + + if ( elems.length === 1 && elem.nodeType === 1 ) { + return jQuery.find.matchesSelector( elem, expr ) ? [ elem ] : []; + } + + return jQuery.find.matches( expr, jQuery.grep( elems, function( elem ) { + return elem.nodeType === 1; + } ) ); +}; + +jQuery.fn.extend( { + find: function( selector ) { + var i, ret, + len = this.length, + self = this; + + if ( typeof selector !== "string" ) { + return this.pushStack( jQuery( selector ).filter( function() { + for ( i = 0; i < len; i++ ) { + if ( jQuery.contains( self[ i ], this ) ) { + return true; + } + } + } ) ); + } + + ret = this.pushStack( [] ); + + for ( i = 0; i < len; i++ ) { + jQuery.find( selector, self[ i ], ret ); + } + + return len > 1 ? jQuery.uniqueSort( ret ) : ret; + }, + filter: function( selector ) { + return this.pushStack( winnow( this, selector || [], false ) ); + }, + not: function( selector ) { + return this.pushStack( winnow( this, selector || [], true ) ); + }, + is: function( selector ) { + return !!winnow( + this, + + // If this is a positional/relative selector, check membership in the returned set + // so $("p:first").is("p:last") won't return true for a doc with two "p". + typeof selector === "string" && rneedsContext.test( selector ) ? + jQuery( selector ) : + selector || [], + false + ).length; + } +} ); + + +// Initialize a jQuery object + + +// A central reference to the root jQuery(document) +var rootjQuery, + + // A simple way to check for HTML strings + // Prioritize #id over to avoid XSS via location.hash (#9521) + // Strict HTML recognition (#11290: must start with <) + // Shortcut simple #id case for speed + rquickExpr = /^(?:\s*(<[\w\W]+>)[^>]*|#([\w-]+))$/, + + init = jQuery.fn.init = function( selector, context, root ) { + var match, elem; + + // HANDLE: $(""), $(null), $(undefined), $(false) + if ( !selector ) { + return this; + } + + // Method init() accepts an alternate rootjQuery + // so migrate can support jQuery.sub (gh-2101) + root = root || rootjQuery; + + // Handle HTML strings + if ( typeof selector === "string" ) { + if ( selector[ 0 ] === "<" && + selector[ selector.length - 1 ] === ">" && + selector.length >= 3 ) { + + // Assume that strings that start and end with <> are HTML and skip the regex check + match = [ null, selector, null ]; + + } else { + match = rquickExpr.exec( selector ); + } + + // Match html or make sure no context is specified for #id + if ( match && ( match[ 1 ] || !context ) ) { + + // HANDLE: $(html) -> $(array) + if ( match[ 1 ] ) { + context = context instanceof jQuery ? context[ 0 ] : context; + + // Option to run scripts is true for back-compat + // Intentionally let the error be thrown if parseHTML is not present + jQuery.merge( this, jQuery.parseHTML( + match[ 1 ], + context && context.nodeType ? context.ownerDocument || context : document, + true + ) ); + + // HANDLE: $(html, props) + if ( rsingleTag.test( match[ 1 ] ) && jQuery.isPlainObject( context ) ) { + for ( match in context ) { + + // Properties of context are called as methods if possible + if ( isFunction( this[ match ] ) ) { + this[ match ]( context[ match ] ); + + // ...and otherwise set as attributes + } else { + this.attr( match, context[ match ] ); + } + } + } + + return this; + + // HANDLE: $(#id) + } else { + elem = document.getElementById( match[ 2 ] ); + + if ( elem ) { + + // Inject the element directly into the jQuery object + this[ 0 ] = elem; + this.length = 1; + } + return this; + } + + // HANDLE: $(expr, $(...)) + } else if ( !context || context.jquery ) { + return ( context || root ).find( selector ); + + // HANDLE: $(expr, context) + // (which is just equivalent to: $(context).find(expr) + } else { + return this.constructor( context ).find( selector ); + } + + // HANDLE: $(DOMElement) + } else if ( selector.nodeType ) { + this[ 0 ] = selector; + this.length = 1; + return this; + + // HANDLE: $(function) + // Shortcut for document ready + } else if ( isFunction( selector ) ) { + return root.ready !== undefined ? + root.ready( selector ) : + + // Execute immediately if ready is not present + selector( jQuery ); + } + + return jQuery.makeArray( selector, this ); + }; + +// Give the init function the jQuery prototype for later instantiation +init.prototype = jQuery.fn; + +// Initialize central reference +rootjQuery = jQuery( document ); + + +var rparentsprev = /^(?:parents|prev(?:Until|All))/, + + // Methods guaranteed to produce a unique set when starting from a unique set + guaranteedUnique = { + children: true, + contents: true, + next: true, + prev: true + }; + +jQuery.fn.extend( { + has: function( target ) { + var targets = jQuery( target, this ), + l = targets.length; + + return this.filter( function() { + var i = 0; + for ( ; i < l; i++ ) { + if ( jQuery.contains( this, targets[ i ] ) ) { + return true; + } + } + } ); + }, + + closest: function( selectors, context ) { + var cur, + i = 0, + l = this.length, + matched = [], + targets = typeof selectors !== "string" && jQuery( selectors ); + + // Positional selectors never match, since there's no _selection_ context + if ( !rneedsContext.test( selectors ) ) { + for ( ; i < l; i++ ) { + for ( cur = this[ i ]; cur && cur !== context; cur = cur.parentNode ) { + + // Always skip document fragments + if ( cur.nodeType < 11 && ( targets ? + targets.index( cur ) > -1 : + + // Don't pass non-elements to Sizzle + cur.nodeType === 1 && + jQuery.find.matchesSelector( cur, selectors ) ) ) { + + matched.push( cur ); + break; + } + } + } + } + + return this.pushStack( matched.length > 1 ? jQuery.uniqueSort( matched ) : matched ); + }, + + // Determine the position of an element within the set + index: function( elem ) { + + // No argument, return index in parent + if ( !elem ) { + return ( this[ 0 ] && this[ 0 ].parentNode ) ? this.first().prevAll().length : -1; + } + + // Index in selector + if ( typeof elem === "string" ) { + return indexOf.call( jQuery( elem ), this[ 0 ] ); + } + + // Locate the position of the desired element + return indexOf.call( this, + + // If it receives a jQuery object, the first element is used + elem.jquery ? elem[ 0 ] : elem + ); + }, + + add: function( selector, context ) { + return this.pushStack( + jQuery.uniqueSort( + jQuery.merge( this.get(), jQuery( selector, context ) ) + ) + ); + }, + + addBack: function( selector ) { + return this.add( selector == null ? + this.prevObject : this.prevObject.filter( selector ) + ); + } +} ); + +function sibling( cur, dir ) { + while ( ( cur = cur[ dir ] ) && cur.nodeType !== 1 ) {} + return cur; +} + +jQuery.each( { + parent: function( elem ) { + var parent = elem.parentNode; + return parent && parent.nodeType !== 11 ? parent : null; + }, + parents: function( elem ) { + return dir( elem, "parentNode" ); + }, + parentsUntil: function( elem, _i, until ) { + return dir( elem, "parentNode", until ); + }, + next: function( elem ) { + return sibling( elem, "nextSibling" ); + }, + prev: function( elem ) { + return sibling( elem, "previousSibling" ); + }, + nextAll: function( elem ) { + return dir( elem, "nextSibling" ); + }, + prevAll: function( elem ) { + return dir( elem, "previousSibling" ); + }, + nextUntil: function( elem, _i, until ) { + return dir( elem, "nextSibling", until ); + }, + prevUntil: function( elem, _i, until ) { + return dir( elem, "previousSibling", until ); + }, + siblings: function( elem ) { + return siblings( ( elem.parentNode || {} ).firstChild, elem ); + }, + children: function( elem ) { + return siblings( elem.firstChild ); + }, + contents: function( elem ) { + if ( elem.contentDocument != null && + + // Support: IE 11+ + // elements with no `data` attribute has an object + // `contentDocument` with a `null` prototype. + getProto( elem.contentDocument ) ) { + + return elem.contentDocument; + } + + // Support: IE 9 - 11 only, iOS 7 only, Android Browser <=4.3 only + // Treat the template element as a regular one in browsers that + // don't support it. + if ( nodeName( elem, "template" ) ) { + elem = elem.content || elem; + } + + return jQuery.merge( [], elem.childNodes ); + } +}, function( name, fn ) { + jQuery.fn[ name ] = function( until, selector ) { + var matched = jQuery.map( this, fn, until ); + + if ( name.slice( -5 ) !== "Until" ) { + selector = until; + } + + if ( selector && typeof selector === "string" ) { + matched = jQuery.filter( selector, matched ); + } + + if ( this.length > 1 ) { + + // Remove duplicates + if ( !guaranteedUnique[ name ] ) { + jQuery.uniqueSort( matched ); + } + + // Reverse order for parents* and prev-derivatives + if ( rparentsprev.test( name ) ) { + matched.reverse(); + } + } + + return this.pushStack( matched ); + }; +} ); +var rnothtmlwhite = ( /[^\x20\t\r\n\f]+/g ); + + + +// Convert String-formatted options into Object-formatted ones +function createOptions( options ) { + var object = {}; + jQuery.each( options.match( rnothtmlwhite ) || [], function( _, flag ) { + object[ flag ] = true; + } ); + return object; +} + +/* + * Create a callback list using the following parameters: + * + * options: an optional list of space-separated options that will change how + * the callback list behaves or a more traditional option object + * + * By default a callback list will act like an event callback list and can be + * "fired" multiple times. + * + * Possible options: + * + * once: will ensure the callback list can only be fired once (like a Deferred) + * + * memory: will keep track of previous values and will call any callback added + * after the list has been fired right away with the latest "memorized" + * values (like a Deferred) + * + * unique: will ensure a callback can only be added once (no duplicate in the list) + * + * stopOnFalse: interrupt callings when a callback returns false + * + */ +jQuery.Callbacks = function( options ) { + + // Convert options from String-formatted to Object-formatted if needed + // (we check in cache first) + options = typeof options === "string" ? + createOptions( options ) : + jQuery.extend( {}, options ); + + var // Flag to know if list is currently firing + firing, + + // Last fire value for non-forgettable lists + memory, + + // Flag to know if list was already fired + fired, + + // Flag to prevent firing + locked, + + // Actual callback list + list = [], + + // Queue of execution data for repeatable lists + queue = [], + + // Index of currently firing callback (modified by add/remove as needed) + firingIndex = -1, + + // Fire callbacks + fire = function() { + + // Enforce single-firing + locked = locked || options.once; + + // Execute callbacks for all pending executions, + // respecting firingIndex overrides and runtime changes + fired = firing = true; + for ( ; queue.length; firingIndex = -1 ) { + memory = queue.shift(); + while ( ++firingIndex < list.length ) { + + // Run callback and check for early termination + if ( list[ firingIndex ].apply( memory[ 0 ], memory[ 1 ] ) === false && + options.stopOnFalse ) { + + // Jump to end and forget the data so .add doesn't re-fire + firingIndex = list.length; + memory = false; + } + } + } + + // Forget the data if we're done with it + if ( !options.memory ) { + memory = false; + } + + firing = false; + + // Clean up if we're done firing for good + if ( locked ) { + + // Keep an empty list if we have data for future add calls + if ( memory ) { + list = []; + + // Otherwise, this object is spent + } else { + list = ""; + } + } + }, + + // Actual Callbacks object + self = { + + // Add a callback or a collection of callbacks to the list + add: function() { + if ( list ) { + + // If we have memory from a past run, we should fire after adding + if ( memory && !firing ) { + firingIndex = list.length - 1; + queue.push( memory ); + } + + ( function add( args ) { + jQuery.each( args, function( _, arg ) { + if ( isFunction( arg ) ) { + if ( !options.unique || !self.has( arg ) ) { + list.push( arg ); + } + } else if ( arg && arg.length && toType( arg ) !== "string" ) { + + // Inspect recursively + add( arg ); + } + } ); + } )( arguments ); + + if ( memory && !firing ) { + fire(); + } + } + return this; + }, + + // Remove a callback from the list + remove: function() { + jQuery.each( arguments, function( _, arg ) { + var index; + while ( ( index = jQuery.inArray( arg, list, index ) ) > -1 ) { + list.splice( index, 1 ); + + // Handle firing indexes + if ( index <= firingIndex ) { + firingIndex--; + } + } + } ); + return this; + }, + + // Check if a given callback is in the list. + // If no argument is given, return whether or not list has callbacks attached. + has: function( fn ) { + return fn ? + jQuery.inArray( fn, list ) > -1 : + list.length > 0; + }, + + // Remove all callbacks from the list + empty: function() { + if ( list ) { + list = []; + } + return this; + }, + + // Disable .fire and .add + // Abort any current/pending executions + // Clear all callbacks and values + disable: function() { + locked = queue = []; + list = memory = ""; + return this; + }, + disabled: function() { + return !list; + }, + + // Disable .fire + // Also disable .add unless we have memory (since it would have no effect) + // Abort any pending executions + lock: function() { + locked = queue = []; + if ( !memory && !firing ) { + list = memory = ""; + } + return this; + }, + locked: function() { + return !!locked; + }, + + // Call all callbacks with the given context and arguments + fireWith: function( context, args ) { + if ( !locked ) { + args = args || []; + args = [ context, args.slice ? args.slice() : args ]; + queue.push( args ); + if ( !firing ) { + fire(); + } + } + return this; + }, + + // Call all the callbacks with the given arguments + fire: function() { + self.fireWith( this, arguments ); + return this; + }, + + // To know if the callbacks have already been called at least once + fired: function() { + return !!fired; + } + }; + + return self; +}; + + +function Identity( v ) { + return v; +} +function Thrower( ex ) { + throw ex; +} + +function adoptValue( value, resolve, reject, noValue ) { + var method; + + try { + + // Check for promise aspect first to privilege synchronous behavior + if ( value && isFunction( ( method = value.promise ) ) ) { + method.call( value ).done( resolve ).fail( reject ); + + // Other thenables + } else if ( value && isFunction( ( method = value.then ) ) ) { + method.call( value, resolve, reject ); + + // Other non-thenables + } else { + + // Control `resolve` arguments by letting Array#slice cast boolean `noValue` to integer: + // * false: [ value ].slice( 0 ) => resolve( value ) + // * true: [ value ].slice( 1 ) => resolve() + resolve.apply( undefined, [ value ].slice( noValue ) ); + } + + // For Promises/A+, convert exceptions into rejections + // Since jQuery.when doesn't unwrap thenables, we can skip the extra checks appearing in + // Deferred#then to conditionally suppress rejection. + } catch ( value ) { + + // Support: Android 4.0 only + // Strict mode functions invoked without .call/.apply get global-object context + reject.apply( undefined, [ value ] ); + } +} + +jQuery.extend( { + + Deferred: function( func ) { + var tuples = [ + + // action, add listener, callbacks, + // ... .then handlers, argument index, [final state] + [ "notify", "progress", jQuery.Callbacks( "memory" ), + jQuery.Callbacks( "memory" ), 2 ], + [ "resolve", "done", jQuery.Callbacks( "once memory" ), + jQuery.Callbacks( "once memory" ), 0, "resolved" ], + [ "reject", "fail", jQuery.Callbacks( "once memory" ), + jQuery.Callbacks( "once memory" ), 1, "rejected" ] + ], + state = "pending", + promise = { + state: function() { + return state; + }, + always: function() { + deferred.done( arguments ).fail( arguments ); + return this; + }, + "catch": function( fn ) { + return promise.then( null, fn ); + }, + + // Keep pipe for back-compat + pipe: function( /* fnDone, fnFail, fnProgress */ ) { + var fns = arguments; + + return jQuery.Deferred( function( newDefer ) { + jQuery.each( tuples, function( _i, tuple ) { + + // Map tuples (progress, done, fail) to arguments (done, fail, progress) + var fn = isFunction( fns[ tuple[ 4 ] ] ) && fns[ tuple[ 4 ] ]; + + // deferred.progress(function() { bind to newDefer or newDefer.notify }) + // deferred.done(function() { bind to newDefer or newDefer.resolve }) + // deferred.fail(function() { bind to newDefer or newDefer.reject }) + deferred[ tuple[ 1 ] ]( function() { + var returned = fn && fn.apply( this, arguments ); + if ( returned && isFunction( returned.promise ) ) { + returned.promise() + .progress( newDefer.notify ) + .done( newDefer.resolve ) + .fail( newDefer.reject ); + } else { + newDefer[ tuple[ 0 ] + "With" ]( + this, + fn ? [ returned ] : arguments + ); + } + } ); + } ); + fns = null; + } ).promise(); + }, + then: function( onFulfilled, onRejected, onProgress ) { + var maxDepth = 0; + function resolve( depth, deferred, handler, special ) { + return function() { + var that = this, + args = arguments, + mightThrow = function() { + var returned, then; + + // Support: Promises/A+ section 2.3.3.3.3 + // https://promisesaplus.com/#point-59 + // Ignore double-resolution attempts + if ( depth < maxDepth ) { + return; + } + + returned = handler.apply( that, args ); + + // Support: Promises/A+ section 2.3.1 + // https://promisesaplus.com/#point-48 + if ( returned === deferred.promise() ) { + throw new TypeError( "Thenable self-resolution" ); + } + + // Support: Promises/A+ sections 2.3.3.1, 3.5 + // https://promisesaplus.com/#point-54 + // https://promisesaplus.com/#point-75 + // Retrieve `then` only once + then = returned && + + // Support: Promises/A+ section 2.3.4 + // https://promisesaplus.com/#point-64 + // Only check objects and functions for thenability + ( typeof returned === "object" || + typeof returned === "function" ) && + returned.then; + + // Handle a returned thenable + if ( isFunction( then ) ) { + + // Special processors (notify) just wait for resolution + if ( special ) { + then.call( + returned, + resolve( maxDepth, deferred, Identity, special ), + resolve( maxDepth, deferred, Thrower, special ) + ); + + // Normal processors (resolve) also hook into progress + } else { + + // ...and disregard older resolution values + maxDepth++; + + then.call( + returned, + resolve( maxDepth, deferred, Identity, special ), + resolve( maxDepth, deferred, Thrower, special ), + resolve( maxDepth, deferred, Identity, + deferred.notifyWith ) + ); + } + + // Handle all other returned values + } else { + + // Only substitute handlers pass on context + // and multiple values (non-spec behavior) + if ( handler !== Identity ) { + that = undefined; + args = [ returned ]; + } + + // Process the value(s) + // Default process is resolve + ( special || deferred.resolveWith )( that, args ); + } + }, + + // Only normal processors (resolve) catch and reject exceptions + process = special ? + mightThrow : + function() { + try { + mightThrow(); + } catch ( e ) { + + if ( jQuery.Deferred.exceptionHook ) { + jQuery.Deferred.exceptionHook( e, + process.stackTrace ); + } + + // Support: Promises/A+ section 2.3.3.3.4.1 + // https://promisesaplus.com/#point-61 + // Ignore post-resolution exceptions + if ( depth + 1 >= maxDepth ) { + + // Only substitute handlers pass on context + // and multiple values (non-spec behavior) + if ( handler !== Thrower ) { + that = undefined; + args = [ e ]; + } + + deferred.rejectWith( that, args ); + } + } + }; + + // Support: Promises/A+ section 2.3.3.3.1 + // https://promisesaplus.com/#point-57 + // Re-resolve promises immediately to dodge false rejection from + // subsequent errors + if ( depth ) { + process(); + } else { + + // Call an optional hook to record the stack, in case of exception + // since it's otherwise lost when execution goes async + if ( jQuery.Deferred.getStackHook ) { + process.stackTrace = jQuery.Deferred.getStackHook(); + } + window.setTimeout( process ); + } + }; + } + + return jQuery.Deferred( function( newDefer ) { + + // progress_handlers.add( ... ) + tuples[ 0 ][ 3 ].add( + resolve( + 0, + newDefer, + isFunction( onProgress ) ? + onProgress : + Identity, + newDefer.notifyWith + ) + ); + + // fulfilled_handlers.add( ... ) + tuples[ 1 ][ 3 ].add( + resolve( + 0, + newDefer, + isFunction( onFulfilled ) ? + onFulfilled : + Identity + ) + ); + + // rejected_handlers.add( ... ) + tuples[ 2 ][ 3 ].add( + resolve( + 0, + newDefer, + isFunction( onRejected ) ? + onRejected : + Thrower + ) + ); + } ).promise(); + }, + + // Get a promise for this deferred + // If obj is provided, the promise aspect is added to the object + promise: function( obj ) { + return obj != null ? jQuery.extend( obj, promise ) : promise; + } + }, + deferred = {}; + + // Add list-specific methods + jQuery.each( tuples, function( i, tuple ) { + var list = tuple[ 2 ], + stateString = tuple[ 5 ]; + + // promise.progress = list.add + // promise.done = list.add + // promise.fail = list.add + promise[ tuple[ 1 ] ] = list.add; + + // Handle state + if ( stateString ) { + list.add( + function() { + + // state = "resolved" (i.e., fulfilled) + // state = "rejected" + state = stateString; + }, + + // rejected_callbacks.disable + // fulfilled_callbacks.disable + tuples[ 3 - i ][ 2 ].disable, + + // rejected_handlers.disable + // fulfilled_handlers.disable + tuples[ 3 - i ][ 3 ].disable, + + // progress_callbacks.lock + tuples[ 0 ][ 2 ].lock, + + // progress_handlers.lock + tuples[ 0 ][ 3 ].lock + ); + } + + // progress_handlers.fire + // fulfilled_handlers.fire + // rejected_handlers.fire + list.add( tuple[ 3 ].fire ); + + // deferred.notify = function() { deferred.notifyWith(...) } + // deferred.resolve = function() { deferred.resolveWith(...) } + // deferred.reject = function() { deferred.rejectWith(...) } + deferred[ tuple[ 0 ] ] = function() { + deferred[ tuple[ 0 ] + "With" ]( this === deferred ? undefined : this, arguments ); + return this; + }; + + // deferred.notifyWith = list.fireWith + // deferred.resolveWith = list.fireWith + // deferred.rejectWith = list.fireWith + deferred[ tuple[ 0 ] + "With" ] = list.fireWith; + } ); + + // Make the deferred a promise + promise.promise( deferred ); + + // Call given func if any + if ( func ) { + func.call( deferred, deferred ); + } + + // All done! + return deferred; + }, + + // Deferred helper + when: function( singleValue ) { + var + + // count of uncompleted subordinates + remaining = arguments.length, + + // count of unprocessed arguments + i = remaining, + + // subordinate fulfillment data + resolveContexts = Array( i ), + resolveValues = slice.call( arguments ), + + // the primary Deferred + primary = jQuery.Deferred(), + + // subordinate callback factory + updateFunc = function( i ) { + return function( value ) { + resolveContexts[ i ] = this; + resolveValues[ i ] = arguments.length > 1 ? slice.call( arguments ) : value; + if ( !( --remaining ) ) { + primary.resolveWith( resolveContexts, resolveValues ); + } + }; + }; + + // Single- and empty arguments are adopted like Promise.resolve + if ( remaining <= 1 ) { + adoptValue( singleValue, primary.done( updateFunc( i ) ).resolve, primary.reject, + !remaining ); + + // Use .then() to unwrap secondary thenables (cf. gh-3000) + if ( primary.state() === "pending" || + isFunction( resolveValues[ i ] && resolveValues[ i ].then ) ) { + + return primary.then(); + } + } + + // Multiple arguments are aggregated like Promise.all array elements + while ( i-- ) { + adoptValue( resolveValues[ i ], updateFunc( i ), primary.reject ); + } + + return primary.promise(); + } +} ); + + +// These usually indicate a programmer mistake during development, +// warn about them ASAP rather than swallowing them by default. +var rerrorNames = /^(Eval|Internal|Range|Reference|Syntax|Type|URI)Error$/; + +jQuery.Deferred.exceptionHook = function( error, stack ) { + + // Support: IE 8 - 9 only + // Console exists when dev tools are open, which can happen at any time + if ( window.console && window.console.warn && error && rerrorNames.test( error.name ) ) { + window.console.warn( "jQuery.Deferred exception: " + error.message, error.stack, stack ); + } +}; + + + + +jQuery.readyException = function( error ) { + window.setTimeout( function() { + throw error; + } ); +}; + + + + +// The deferred used on DOM ready +var readyList = jQuery.Deferred(); + +jQuery.fn.ready = function( fn ) { + + readyList + .then( fn ) + + // Wrap jQuery.readyException in a function so that the lookup + // happens at the time of error handling instead of callback + // registration. + .catch( function( error ) { + jQuery.readyException( error ); + } ); + + return this; +}; + +jQuery.extend( { + + // Is the DOM ready to be used? Set to true once it occurs. + isReady: false, + + // A counter to track how many items to wait for before + // the ready event fires. See #6781 + readyWait: 1, + + // Handle when the DOM is ready + ready: function( wait ) { + + // Abort if there are pending holds or we're already ready + if ( wait === true ? --jQuery.readyWait : jQuery.isReady ) { + return; + } + + // Remember that the DOM is ready + jQuery.isReady = true; + + // If a normal DOM Ready event fired, decrement, and wait if need be + if ( wait !== true && --jQuery.readyWait > 0 ) { + return; + } + + // If there are functions bound, to execute + readyList.resolveWith( document, [ jQuery ] ); + } +} ); + +jQuery.ready.then = readyList.then; + +// The ready event handler and self cleanup method +function completed() { + document.removeEventListener( "DOMContentLoaded", completed ); + window.removeEventListener( "load", completed ); + jQuery.ready(); +} + +// Catch cases where $(document).ready() is called +// after the browser event has already occurred. +// Support: IE <=9 - 10 only +// Older IE sometimes signals "interactive" too soon +if ( document.readyState === "complete" || + ( document.readyState !== "loading" && !document.documentElement.doScroll ) ) { + + // Handle it asynchronously to allow scripts the opportunity to delay ready + window.setTimeout( jQuery.ready ); + +} else { + + // Use the handy event callback + document.addEventListener( "DOMContentLoaded", completed ); + + // A fallback to window.onload, that will always work + window.addEventListener( "load", completed ); +} + + + + +// Multifunctional method to get and set values of a collection +// The value/s can optionally be executed if it's a function +var access = function( elems, fn, key, value, chainable, emptyGet, raw ) { + var i = 0, + len = elems.length, + bulk = key == null; + + // Sets many values + if ( toType( key ) === "object" ) { + chainable = true; + for ( i in key ) { + access( elems, fn, i, key[ i ], true, emptyGet, raw ); + } + + // Sets one value + } else if ( value !== undefined ) { + chainable = true; + + if ( !isFunction( value ) ) { + raw = true; + } + + if ( bulk ) { + + // Bulk operations run against the entire set + if ( raw ) { + fn.call( elems, value ); + fn = null; + + // ...except when executing function values + } else { + bulk = fn; + fn = function( elem, _key, value ) { + return bulk.call( jQuery( elem ), value ); + }; + } + } + + if ( fn ) { + for ( ; i < len; i++ ) { + fn( + elems[ i ], key, raw ? + value : + value.call( elems[ i ], i, fn( elems[ i ], key ) ) + ); + } + } + } + + if ( chainable ) { + return elems; + } + + // Gets + if ( bulk ) { + return fn.call( elems ); + } + + return len ? fn( elems[ 0 ], key ) : emptyGet; +}; + + +// Matches dashed string for camelizing +var rmsPrefix = /^-ms-/, + rdashAlpha = /-([a-z])/g; + +// Used by camelCase as callback to replace() +function fcamelCase( _all, letter ) { + return letter.toUpperCase(); +} + +// Convert dashed to camelCase; used by the css and data modules +// Support: IE <=9 - 11, Edge 12 - 15 +// Microsoft forgot to hump their vendor prefix (#9572) +function camelCase( string ) { + return string.replace( rmsPrefix, "ms-" ).replace( rdashAlpha, fcamelCase ); +} +var acceptData = function( owner ) { + + // Accepts only: + // - Node + // - Node.ELEMENT_NODE + // - Node.DOCUMENT_NODE + // - Object + // - Any + return owner.nodeType === 1 || owner.nodeType === 9 || !( +owner.nodeType ); +}; + + + + +function Data() { + this.expando = jQuery.expando + Data.uid++; +} + +Data.uid = 1; + +Data.prototype = { + + cache: function( owner ) { + + // Check if the owner object already has a cache + var value = owner[ this.expando ]; + + // If not, create one + if ( !value ) { + value = {}; + + // We can accept data for non-element nodes in modern browsers, + // but we should not, see #8335. + // Always return an empty object. + if ( acceptData( owner ) ) { + + // If it is a node unlikely to be stringify-ed or looped over + // use plain assignment + if ( owner.nodeType ) { + owner[ this.expando ] = value; + + // Otherwise secure it in a non-enumerable property + // configurable must be true to allow the property to be + // deleted when data is removed + } else { + Object.defineProperty( owner, this.expando, { + value: value, + configurable: true + } ); + } + } + } + + return value; + }, + set: function( owner, data, value ) { + var prop, + cache = this.cache( owner ); + + // Handle: [ owner, key, value ] args + // Always use camelCase key (gh-2257) + if ( typeof data === "string" ) { + cache[ camelCase( data ) ] = value; + + // Handle: [ owner, { properties } ] args + } else { + + // Copy the properties one-by-one to the cache object + for ( prop in data ) { + cache[ camelCase( prop ) ] = data[ prop ]; + } + } + return cache; + }, + get: function( owner, key ) { + return key === undefined ? + this.cache( owner ) : + + // Always use camelCase key (gh-2257) + owner[ this.expando ] && owner[ this.expando ][ camelCase( key ) ]; + }, + access: function( owner, key, value ) { + + // In cases where either: + // + // 1. No key was specified + // 2. A string key was specified, but no value provided + // + // Take the "read" path and allow the get method to determine + // which value to return, respectively either: + // + // 1. The entire cache object + // 2. The data stored at the key + // + if ( key === undefined || + ( ( key && typeof key === "string" ) && value === undefined ) ) { + + return this.get( owner, key ); + } + + // When the key is not a string, or both a key and value + // are specified, set or extend (existing objects) with either: + // + // 1. An object of properties + // 2. A key and value + // + this.set( owner, key, value ); + + // Since the "set" path can have two possible entry points + // return the expected data based on which path was taken[*] + return value !== undefined ? value : key; + }, + remove: function( owner, key ) { + var i, + cache = owner[ this.expando ]; + + if ( cache === undefined ) { + return; + } + + if ( key !== undefined ) { + + // Support array or space separated string of keys + if ( Array.isArray( key ) ) { + + // If key is an array of keys... + // We always set camelCase keys, so remove that. + key = key.map( camelCase ); + } else { + key = camelCase( key ); + + // If a key with the spaces exists, use it. + // Otherwise, create an array by matching non-whitespace + key = key in cache ? + [ key ] : + ( key.match( rnothtmlwhite ) || [] ); + } + + i = key.length; + + while ( i-- ) { + delete cache[ key[ i ] ]; + } + } + + // Remove the expando if there's no more data + if ( key === undefined || jQuery.isEmptyObject( cache ) ) { + + // Support: Chrome <=35 - 45 + // Webkit & Blink performance suffers when deleting properties + // from DOM nodes, so set to undefined instead + // https://bugs.chromium.org/p/chromium/issues/detail?id=378607 (bug restricted) + if ( owner.nodeType ) { + owner[ this.expando ] = undefined; + } else { + delete owner[ this.expando ]; + } + } + }, + hasData: function( owner ) { + var cache = owner[ this.expando ]; + return cache !== undefined && !jQuery.isEmptyObject( cache ); + } +}; +var dataPriv = new Data(); + +var dataUser = new Data(); + + + +// Implementation Summary +// +// 1. Enforce API surface and semantic compatibility with 1.9.x branch +// 2. Improve the module's maintainability by reducing the storage +// paths to a single mechanism. +// 3. Use the same single mechanism to support "private" and "user" data. +// 4. _Never_ expose "private" data to user code (TODO: Drop _data, _removeData) +// 5. Avoid exposing implementation details on user objects (eg. expando properties) +// 6. Provide a clear path for implementation upgrade to WeakMap in 2014 + +var rbrace = /^(?:\{[\w\W]*\}|\[[\w\W]*\])$/, + rmultiDash = /[A-Z]/g; + +function getData( data ) { + if ( data === "true" ) { + return true; + } + + if ( data === "false" ) { + return false; + } + + if ( data === "null" ) { + return null; + } + + // Only convert to a number if it doesn't change the string + if ( data === +data + "" ) { + return +data; + } + + if ( rbrace.test( data ) ) { + return JSON.parse( data ); + } + + return data; +} + +function dataAttr( elem, key, data ) { + var name; + + // If nothing was found internally, try to fetch any + // data from the HTML5 data-* attribute + if ( data === undefined && elem.nodeType === 1 ) { + name = "data-" + key.replace( rmultiDash, "-$&" ).toLowerCase(); + data = elem.getAttribute( name ); + + if ( typeof data === "string" ) { + try { + data = getData( data ); + } catch ( e ) {} + + // Make sure we set the data so it isn't changed later + dataUser.set( elem, key, data ); + } else { + data = undefined; + } + } + return data; +} + +jQuery.extend( { + hasData: function( elem ) { + return dataUser.hasData( elem ) || dataPriv.hasData( elem ); + }, + + data: function( elem, name, data ) { + return dataUser.access( elem, name, data ); + }, + + removeData: function( elem, name ) { + dataUser.remove( elem, name ); + }, + + // TODO: Now that all calls to _data and _removeData have been replaced + // with direct calls to dataPriv methods, these can be deprecated. + _data: function( elem, name, data ) { + return dataPriv.access( elem, name, data ); + }, + + _removeData: function( elem, name ) { + dataPriv.remove( elem, name ); + } +} ); + +jQuery.fn.extend( { + data: function( key, value ) { + var i, name, data, + elem = this[ 0 ], + attrs = elem && elem.attributes; + + // Gets all values + if ( key === undefined ) { + if ( this.length ) { + data = dataUser.get( elem ); + + if ( elem.nodeType === 1 && !dataPriv.get( elem, "hasDataAttrs" ) ) { + i = attrs.length; + while ( i-- ) { + + // Support: IE 11 only + // The attrs elements can be null (#14894) + if ( attrs[ i ] ) { + name = attrs[ i ].name; + if ( name.indexOf( "data-" ) === 0 ) { + name = camelCase( name.slice( 5 ) ); + dataAttr( elem, name, data[ name ] ); + } + } + } + dataPriv.set( elem, "hasDataAttrs", true ); + } + } + + return data; + } + + // Sets multiple values + if ( typeof key === "object" ) { + return this.each( function() { + dataUser.set( this, key ); + } ); + } + + return access( this, function( value ) { + var data; + + // The calling jQuery object (element matches) is not empty + // (and therefore has an element appears at this[ 0 ]) and the + // `value` parameter was not undefined. An empty jQuery object + // will result in `undefined` for elem = this[ 0 ] which will + // throw an exception if an attempt to read a data cache is made. + if ( elem && value === undefined ) { + + // Attempt to get data from the cache + // The key will always be camelCased in Data + data = dataUser.get( elem, key ); + if ( data !== undefined ) { + return data; + } + + // Attempt to "discover" the data in + // HTML5 custom data-* attrs + data = dataAttr( elem, key ); + if ( data !== undefined ) { + return data; + } + + // We tried really hard, but the data doesn't exist. + return; + } + + // Set the data... + this.each( function() { + + // We always store the camelCased key + dataUser.set( this, key, value ); + } ); + }, null, value, arguments.length > 1, null, true ); + }, + + removeData: function( key ) { + return this.each( function() { + dataUser.remove( this, key ); + } ); + } +} ); + + +jQuery.extend( { + queue: function( elem, type, data ) { + var queue; + + if ( elem ) { + type = ( type || "fx" ) + "queue"; + queue = dataPriv.get( elem, type ); + + // Speed up dequeue by getting out quickly if this is just a lookup + if ( data ) { + if ( !queue || Array.isArray( data ) ) { + queue = dataPriv.access( elem, type, jQuery.makeArray( data ) ); + } else { + queue.push( data ); + } + } + return queue || []; + } + }, + + dequeue: function( elem, type ) { + type = type || "fx"; + + var queue = jQuery.queue( elem, type ), + startLength = queue.length, + fn = queue.shift(), + hooks = jQuery._queueHooks( elem, type ), + next = function() { + jQuery.dequeue( elem, type ); + }; + + // If the fx queue is dequeued, always remove the progress sentinel + if ( fn === "inprogress" ) { + fn = queue.shift(); + startLength--; + } + + if ( fn ) { + + // Add a progress sentinel to prevent the fx queue from being + // automatically dequeued + if ( type === "fx" ) { + queue.unshift( "inprogress" ); + } + + // Clear up the last queue stop function + delete hooks.stop; + fn.call( elem, next, hooks ); + } + + if ( !startLength && hooks ) { + hooks.empty.fire(); + } + }, + + // Not public - generate a queueHooks object, or return the current one + _queueHooks: function( elem, type ) { + var key = type + "queueHooks"; + return dataPriv.get( elem, key ) || dataPriv.access( elem, key, { + empty: jQuery.Callbacks( "once memory" ).add( function() { + dataPriv.remove( elem, [ type + "queue", key ] ); + } ) + } ); + } +} ); + +jQuery.fn.extend( { + queue: function( type, data ) { + var setter = 2; + + if ( typeof type !== "string" ) { + data = type; + type = "fx"; + setter--; + } + + if ( arguments.length < setter ) { + return jQuery.queue( this[ 0 ], type ); + } + + return data === undefined ? + this : + this.each( function() { + var queue = jQuery.queue( this, type, data ); + + // Ensure a hooks for this queue + jQuery._queueHooks( this, type ); + + if ( type === "fx" && queue[ 0 ] !== "inprogress" ) { + jQuery.dequeue( this, type ); + } + } ); + }, + dequeue: function( type ) { + return this.each( function() { + jQuery.dequeue( this, type ); + } ); + }, + clearQueue: function( type ) { + return this.queue( type || "fx", [] ); + }, + + // Get a promise resolved when queues of a certain type + // are emptied (fx is the type by default) + promise: function( type, obj ) { + var tmp, + count = 1, + defer = jQuery.Deferred(), + elements = this, + i = this.length, + resolve = function() { + if ( !( --count ) ) { + defer.resolveWith( elements, [ elements ] ); + } + }; + + if ( typeof type !== "string" ) { + obj = type; + type = undefined; + } + type = type || "fx"; + + while ( i-- ) { + tmp = dataPriv.get( elements[ i ], type + "queueHooks" ); + if ( tmp && tmp.empty ) { + count++; + tmp.empty.add( resolve ); + } + } + resolve(); + return defer.promise( obj ); + } +} ); +var pnum = ( /[+-]?(?:\d*\.|)\d+(?:[eE][+-]?\d+|)/ ).source; + +var rcssNum = new RegExp( "^(?:([+-])=|)(" + pnum + ")([a-z%]*)$", "i" ); + + +var cssExpand = [ "Top", "Right", "Bottom", "Left" ]; + +var documentElement = document.documentElement; + + + + var isAttached = function( elem ) { + return jQuery.contains( elem.ownerDocument, elem ); + }, + composed = { composed: true }; + + // Support: IE 9 - 11+, Edge 12 - 18+, iOS 10.0 - 10.2 only + // Check attachment across shadow DOM boundaries when possible (gh-3504) + // Support: iOS 10.0-10.2 only + // Early iOS 10 versions support `attachShadow` but not `getRootNode`, + // leading to errors. We need to check for `getRootNode`. + if ( documentElement.getRootNode ) { + isAttached = function( elem ) { + return jQuery.contains( elem.ownerDocument, elem ) || + elem.getRootNode( composed ) === elem.ownerDocument; + }; + } +var isHiddenWithinTree = function( elem, el ) { + + // isHiddenWithinTree might be called from jQuery#filter function; + // in that case, element will be second argument + elem = el || elem; + + // Inline style trumps all + return elem.style.display === "none" || + elem.style.display === "" && + + // Otherwise, check computed style + // Support: Firefox <=43 - 45 + // Disconnected elements can have computed display: none, so first confirm that elem is + // in the document. + isAttached( elem ) && + + jQuery.css( elem, "display" ) === "none"; + }; + + + +function adjustCSS( elem, prop, valueParts, tween ) { + var adjusted, scale, + maxIterations = 20, + currentValue = tween ? + function() { + return tween.cur(); + } : + function() { + return jQuery.css( elem, prop, "" ); + }, + initial = currentValue(), + unit = valueParts && valueParts[ 3 ] || ( jQuery.cssNumber[ prop ] ? "" : "px" ), + + // Starting value computation is required for potential unit mismatches + initialInUnit = elem.nodeType && + ( jQuery.cssNumber[ prop ] || unit !== "px" && +initial ) && + rcssNum.exec( jQuery.css( elem, prop ) ); + + if ( initialInUnit && initialInUnit[ 3 ] !== unit ) { + + // Support: Firefox <=54 + // Halve the iteration target value to prevent interference from CSS upper bounds (gh-2144) + initial = initial / 2; + + // Trust units reported by jQuery.css + unit = unit || initialInUnit[ 3 ]; + + // Iteratively approximate from a nonzero starting point + initialInUnit = +initial || 1; + + while ( maxIterations-- ) { + + // Evaluate and update our best guess (doubling guesses that zero out). + // Finish if the scale equals or crosses 1 (making the old*new product non-positive). + jQuery.style( elem, prop, initialInUnit + unit ); + if ( ( 1 - scale ) * ( 1 - ( scale = currentValue() / initial || 0.5 ) ) <= 0 ) { + maxIterations = 0; + } + initialInUnit = initialInUnit / scale; + + } + + initialInUnit = initialInUnit * 2; + jQuery.style( elem, prop, initialInUnit + unit ); + + // Make sure we update the tween properties later on + valueParts = valueParts || []; + } + + if ( valueParts ) { + initialInUnit = +initialInUnit || +initial || 0; + + // Apply relative offset (+=/-=) if specified + adjusted = valueParts[ 1 ] ? + initialInUnit + ( valueParts[ 1 ] + 1 ) * valueParts[ 2 ] : + +valueParts[ 2 ]; + if ( tween ) { + tween.unit = unit; + tween.start = initialInUnit; + tween.end = adjusted; + } + } + return adjusted; +} + + +var defaultDisplayMap = {}; + +function getDefaultDisplay( elem ) { + var temp, + doc = elem.ownerDocument, + nodeName = elem.nodeName, + display = defaultDisplayMap[ nodeName ]; + + if ( display ) { + return display; + } + + temp = doc.body.appendChild( doc.createElement( nodeName ) ); + display = jQuery.css( temp, "display" ); + + temp.parentNode.removeChild( temp ); + + if ( display === "none" ) { + display = "block"; + } + defaultDisplayMap[ nodeName ] = display; + + return display; +} + +function showHide( elements, show ) { + var display, elem, + values = [], + index = 0, + length = elements.length; + + // Determine new display value for elements that need to change + for ( ; index < length; index++ ) { + elem = elements[ index ]; + if ( !elem.style ) { + continue; + } + + display = elem.style.display; + if ( show ) { + + // Since we force visibility upon cascade-hidden elements, an immediate (and slow) + // check is required in this first loop unless we have a nonempty display value (either + // inline or about-to-be-restored) + if ( display === "none" ) { + values[ index ] = dataPriv.get( elem, "display" ) || null; + if ( !values[ index ] ) { + elem.style.display = ""; + } + } + if ( elem.style.display === "" && isHiddenWithinTree( elem ) ) { + values[ index ] = getDefaultDisplay( elem ); + } + } else { + if ( display !== "none" ) { + values[ index ] = "none"; + + // Remember what we're overwriting + dataPriv.set( elem, "display", display ); + } + } + } + + // Set the display of the elements in a second loop to avoid constant reflow + for ( index = 0; index < length; index++ ) { + if ( values[ index ] != null ) { + elements[ index ].style.display = values[ index ]; + } + } + + return elements; +} + +jQuery.fn.extend( { + show: function() { + return showHide( this, true ); + }, + hide: function() { + return showHide( this ); + }, + toggle: function( state ) { + if ( typeof state === "boolean" ) { + return state ? this.show() : this.hide(); + } + + return this.each( function() { + if ( isHiddenWithinTree( this ) ) { + jQuery( this ).show(); + } else { + jQuery( this ).hide(); + } + } ); + } +} ); +var rcheckableType = ( /^(?:checkbox|radio)$/i ); + +var rtagName = ( /<([a-z][^\/\0>\x20\t\r\n\f]*)/i ); + +var rscriptType = ( /^$|^module$|\/(?:java|ecma)script/i ); + + + +( function() { + var fragment = document.createDocumentFragment(), + div = fragment.appendChild( document.createElement( "div" ) ), + input = document.createElement( "input" ); + + // Support: Android 4.0 - 4.3 only + // Check state lost if the name is set (#11217) + // Support: Windows Web Apps (WWA) + // `name` and `type` must use .setAttribute for WWA (#14901) + input.setAttribute( "type", "radio" ); + input.setAttribute( "checked", "checked" ); + input.setAttribute( "name", "t" ); + + div.appendChild( input ); + + // Support: Android <=4.1 only + // Older WebKit doesn't clone checked state correctly in fragments + support.checkClone = div.cloneNode( true ).cloneNode( true ).lastChild.checked; + + // Support: IE <=11 only + // Make sure textarea (and checkbox) defaultValue is properly cloned + div.innerHTML = ""; + support.noCloneChecked = !!div.cloneNode( true ).lastChild.defaultValue; + + // Support: IE <=9 only + // IE <=9 replaces "; + support.option = !!div.lastChild; +} )(); + + +// We have to close these tags to support XHTML (#13200) +var wrapMap = { + + // XHTML parsers do not magically insert elements in the + // same way that tag soup parsers do. So we cannot shorten + // this by omitting or other required elements. + thead: [ 1, "", "
    " ], + col: [ 2, "", "
    " ], + tr: [ 2, "", "
    " ], + td: [ 3, "", "
    " ], + + _default: [ 0, "", "" ] +}; + +wrapMap.tbody = wrapMap.tfoot = wrapMap.colgroup = wrapMap.caption = wrapMap.thead; +wrapMap.th = wrapMap.td; + +// Support: IE <=9 only +if ( !support.option ) { + wrapMap.optgroup = wrapMap.option = [ 1, "" ]; +} + + +function getAll( context, tag ) { + + // Support: IE <=9 - 11 only + // Use typeof to avoid zero-argument method invocation on host objects (#15151) + var ret; + + if ( typeof context.getElementsByTagName !== "undefined" ) { + ret = context.getElementsByTagName( tag || "*" ); + + } else if ( typeof context.querySelectorAll !== "undefined" ) { + ret = context.querySelectorAll( tag || "*" ); + + } else { + ret = []; + } + + if ( tag === undefined || tag && nodeName( context, tag ) ) { + return jQuery.merge( [ context ], ret ); + } + + return ret; +} + + +// Mark scripts as having already been evaluated +function setGlobalEval( elems, refElements ) { + var i = 0, + l = elems.length; + + for ( ; i < l; i++ ) { + dataPriv.set( + elems[ i ], + "globalEval", + !refElements || dataPriv.get( refElements[ i ], "globalEval" ) + ); + } +} + + +var rhtml = /<|&#?\w+;/; + +function buildFragment( elems, context, scripts, selection, ignored ) { + var elem, tmp, tag, wrap, attached, j, + fragment = context.createDocumentFragment(), + nodes = [], + i = 0, + l = elems.length; + + for ( ; i < l; i++ ) { + elem = elems[ i ]; + + if ( elem || elem === 0 ) { + + // Add nodes directly + if ( toType( elem ) === "object" ) { + + // Support: Android <=4.0 only, PhantomJS 1 only + // push.apply(_, arraylike) throws on ancient WebKit + jQuery.merge( nodes, elem.nodeType ? [ elem ] : elem ); + + // Convert non-html into a text node + } else if ( !rhtml.test( elem ) ) { + nodes.push( context.createTextNode( elem ) ); + + // Convert html into DOM nodes + } else { + tmp = tmp || fragment.appendChild( context.createElement( "div" ) ); + + // Deserialize a standard representation + tag = ( rtagName.exec( elem ) || [ "", "" ] )[ 1 ].toLowerCase(); + wrap = wrapMap[ tag ] || wrapMap._default; + tmp.innerHTML = wrap[ 1 ] + jQuery.htmlPrefilter( elem ) + wrap[ 2 ]; + + // Descend through wrappers to the right content + j = wrap[ 0 ]; + while ( j-- ) { + tmp = tmp.lastChild; + } + + // Support: Android <=4.0 only, PhantomJS 1 only + // push.apply(_, arraylike) throws on ancient WebKit + jQuery.merge( nodes, tmp.childNodes ); + + // Remember the top-level container + tmp = fragment.firstChild; + + // Ensure the created nodes are orphaned (#12392) + tmp.textContent = ""; + } + } + } + + // Remove wrapper from fragment + fragment.textContent = ""; + + i = 0; + while ( ( elem = nodes[ i++ ] ) ) { + + // Skip elements already in the context collection (trac-4087) + if ( selection && jQuery.inArray( elem, selection ) > -1 ) { + if ( ignored ) { + ignored.push( elem ); + } + continue; + } + + attached = isAttached( elem ); + + // Append to fragment + tmp = getAll( fragment.appendChild( elem ), "script" ); + + // Preserve script evaluation history + if ( attached ) { + setGlobalEval( tmp ); + } + + // Capture executables + if ( scripts ) { + j = 0; + while ( ( elem = tmp[ j++ ] ) ) { + if ( rscriptType.test( elem.type || "" ) ) { + scripts.push( elem ); + } + } + } + } + + return fragment; +} + + +var rtypenamespace = /^([^.]*)(?:\.(.+)|)/; + +function returnTrue() { + return true; +} + +function returnFalse() { + return false; +} + +// Support: IE <=9 - 11+ +// focus() and blur() are asynchronous, except when they are no-op. +// So expect focus to be synchronous when the element is already active, +// and blur to be synchronous when the element is not already active. +// (focus and blur are always synchronous in other supported browsers, +// this just defines when we can count on it). +function expectSync( elem, type ) { + return ( elem === safeActiveElement() ) === ( type === "focus" ); +} + +// Support: IE <=9 only +// Accessing document.activeElement can throw unexpectedly +// https://bugs.jquery.com/ticket/13393 +function safeActiveElement() { + try { + return document.activeElement; + } catch ( err ) { } +} + +function on( elem, types, selector, data, fn, one ) { + var origFn, type; + + // Types can be a map of types/handlers + if ( typeof types === "object" ) { + + // ( types-Object, selector, data ) + if ( typeof selector !== "string" ) { + + // ( types-Object, data ) + data = data || selector; + selector = undefined; + } + for ( type in types ) { + on( elem, type, selector, data, types[ type ], one ); + } + return elem; + } + + if ( data == null && fn == null ) { + + // ( types, fn ) + fn = selector; + data = selector = undefined; + } else if ( fn == null ) { + if ( typeof selector === "string" ) { + + // ( types, selector, fn ) + fn = data; + data = undefined; + } else { + + // ( types, data, fn ) + fn = data; + data = selector; + selector = undefined; + } + } + if ( fn === false ) { + fn = returnFalse; + } else if ( !fn ) { + return elem; + } + + if ( one === 1 ) { + origFn = fn; + fn = function( event ) { + + // Can use an empty set, since event contains the info + jQuery().off( event ); + return origFn.apply( this, arguments ); + }; + + // Use same guid so caller can remove using origFn + fn.guid = origFn.guid || ( origFn.guid = jQuery.guid++ ); + } + return elem.each( function() { + jQuery.event.add( this, types, fn, data, selector ); + } ); +} + +/* + * Helper functions for managing events -- not part of the public interface. + * Props to Dean Edwards' addEvent library for many of the ideas. + */ +jQuery.event = { + + global: {}, + + add: function( elem, types, handler, data, selector ) { + + var handleObjIn, eventHandle, tmp, + events, t, handleObj, + special, handlers, type, namespaces, origType, + elemData = dataPriv.get( elem ); + + // Only attach events to objects that accept data + if ( !acceptData( elem ) ) { + return; + } + + // Caller can pass in an object of custom data in lieu of the handler + if ( handler.handler ) { + handleObjIn = handler; + handler = handleObjIn.handler; + selector = handleObjIn.selector; + } + + // Ensure that invalid selectors throw exceptions at attach time + // Evaluate against documentElement in case elem is a non-element node (e.g., document) + if ( selector ) { + jQuery.find.matchesSelector( documentElement, selector ); + } + + // Make sure that the handler has a unique ID, used to find/remove it later + if ( !handler.guid ) { + handler.guid = jQuery.guid++; + } + + // Init the element's event structure and main handler, if this is the first + if ( !( events = elemData.events ) ) { + events = elemData.events = Object.create( null ); + } + if ( !( eventHandle = elemData.handle ) ) { + eventHandle = elemData.handle = function( e ) { + + // Discard the second event of a jQuery.event.trigger() and + // when an event is called after a page has unloaded + return typeof jQuery !== "undefined" && jQuery.event.triggered !== e.type ? + jQuery.event.dispatch.apply( elem, arguments ) : undefined; + }; + } + + // Handle multiple events separated by a space + types = ( types || "" ).match( rnothtmlwhite ) || [ "" ]; + t = types.length; + while ( t-- ) { + tmp = rtypenamespace.exec( types[ t ] ) || []; + type = origType = tmp[ 1 ]; + namespaces = ( tmp[ 2 ] || "" ).split( "." ).sort(); + + // There *must* be a type, no attaching namespace-only handlers + if ( !type ) { + continue; + } + + // If event changes its type, use the special event handlers for the changed type + special = jQuery.event.special[ type ] || {}; + + // If selector defined, determine special event api type, otherwise given type + type = ( selector ? special.delegateType : special.bindType ) || type; + + // Update special based on newly reset type + special = jQuery.event.special[ type ] || {}; + + // handleObj is passed to all event handlers + handleObj = jQuery.extend( { + type: type, + origType: origType, + data: data, + handler: handler, + guid: handler.guid, + selector: selector, + needsContext: selector && jQuery.expr.match.needsContext.test( selector ), + namespace: namespaces.join( "." ) + }, handleObjIn ); + + // Init the event handler queue if we're the first + if ( !( handlers = events[ type ] ) ) { + handlers = events[ type ] = []; + handlers.delegateCount = 0; + + // Only use addEventListener if the special events handler returns false + if ( !special.setup || + special.setup.call( elem, data, namespaces, eventHandle ) === false ) { + + if ( elem.addEventListener ) { + elem.addEventListener( type, eventHandle ); + } + } + } + + if ( special.add ) { + special.add.call( elem, handleObj ); + + if ( !handleObj.handler.guid ) { + handleObj.handler.guid = handler.guid; + } + } + + // Add to the element's handler list, delegates in front + if ( selector ) { + handlers.splice( handlers.delegateCount++, 0, handleObj ); + } else { + handlers.push( handleObj ); + } + + // Keep track of which events have ever been used, for event optimization + jQuery.event.global[ type ] = true; + } + + }, + + // Detach an event or set of events from an element + remove: function( elem, types, handler, selector, mappedTypes ) { + + var j, origCount, tmp, + events, t, handleObj, + special, handlers, type, namespaces, origType, + elemData = dataPriv.hasData( elem ) && dataPriv.get( elem ); + + if ( !elemData || !( events = elemData.events ) ) { + return; + } + + // Once for each type.namespace in types; type may be omitted + types = ( types || "" ).match( rnothtmlwhite ) || [ "" ]; + t = types.length; + while ( t-- ) { + tmp = rtypenamespace.exec( types[ t ] ) || []; + type = origType = tmp[ 1 ]; + namespaces = ( tmp[ 2 ] || "" ).split( "." ).sort(); + + // Unbind all events (on this namespace, if provided) for the element + if ( !type ) { + for ( type in events ) { + jQuery.event.remove( elem, type + types[ t ], handler, selector, true ); + } + continue; + } + + special = jQuery.event.special[ type ] || {}; + type = ( selector ? special.delegateType : special.bindType ) || type; + handlers = events[ type ] || []; + tmp = tmp[ 2 ] && + new RegExp( "(^|\\.)" + namespaces.join( "\\.(?:.*\\.|)" ) + "(\\.|$)" ); + + // Remove matching events + origCount = j = handlers.length; + while ( j-- ) { + handleObj = handlers[ j ]; + + if ( ( mappedTypes || origType === handleObj.origType ) && + ( !handler || handler.guid === handleObj.guid ) && + ( !tmp || tmp.test( handleObj.namespace ) ) && + ( !selector || selector === handleObj.selector || + selector === "**" && handleObj.selector ) ) { + handlers.splice( j, 1 ); + + if ( handleObj.selector ) { + handlers.delegateCount--; + } + if ( special.remove ) { + special.remove.call( elem, handleObj ); + } + } + } + + // Remove generic event handler if we removed something and no more handlers exist + // (avoids potential for endless recursion during removal of special event handlers) + if ( origCount && !handlers.length ) { + if ( !special.teardown || + special.teardown.call( elem, namespaces, elemData.handle ) === false ) { + + jQuery.removeEvent( elem, type, elemData.handle ); + } + + delete events[ type ]; + } + } + + // Remove data and the expando if it's no longer used + if ( jQuery.isEmptyObject( events ) ) { + dataPriv.remove( elem, "handle events" ); + } + }, + + dispatch: function( nativeEvent ) { + + var i, j, ret, matched, handleObj, handlerQueue, + args = new Array( arguments.length ), + + // Make a writable jQuery.Event from the native event object + event = jQuery.event.fix( nativeEvent ), + + handlers = ( + dataPriv.get( this, "events" ) || Object.create( null ) + )[ event.type ] || [], + special = jQuery.event.special[ event.type ] || {}; + + // Use the fix-ed jQuery.Event rather than the (read-only) native event + args[ 0 ] = event; + + for ( i = 1; i < arguments.length; i++ ) { + args[ i ] = arguments[ i ]; + } + + event.delegateTarget = this; + + // Call the preDispatch hook for the mapped type, and let it bail if desired + if ( special.preDispatch && special.preDispatch.call( this, event ) === false ) { + return; + } + + // Determine handlers + handlerQueue = jQuery.event.handlers.call( this, event, handlers ); + + // Run delegates first; they may want to stop propagation beneath us + i = 0; + while ( ( matched = handlerQueue[ i++ ] ) && !event.isPropagationStopped() ) { + event.currentTarget = matched.elem; + + j = 0; + while ( ( handleObj = matched.handlers[ j++ ] ) && + !event.isImmediatePropagationStopped() ) { + + // If the event is namespaced, then each handler is only invoked if it is + // specially universal or its namespaces are a superset of the event's. + if ( !event.rnamespace || handleObj.namespace === false || + event.rnamespace.test( handleObj.namespace ) ) { + + event.handleObj = handleObj; + event.data = handleObj.data; + + ret = ( ( jQuery.event.special[ handleObj.origType ] || {} ).handle || + handleObj.handler ).apply( matched.elem, args ); + + if ( ret !== undefined ) { + if ( ( event.result = ret ) === false ) { + event.preventDefault(); + event.stopPropagation(); + } + } + } + } + } + + // Call the postDispatch hook for the mapped type + if ( special.postDispatch ) { + special.postDispatch.call( this, event ); + } + + return event.result; + }, + + handlers: function( event, handlers ) { + var i, handleObj, sel, matchedHandlers, matchedSelectors, + handlerQueue = [], + delegateCount = handlers.delegateCount, + cur = event.target; + + // Find delegate handlers + if ( delegateCount && + + // Support: IE <=9 + // Black-hole SVG instance trees (trac-13180) + cur.nodeType && + + // Support: Firefox <=42 + // Suppress spec-violating clicks indicating a non-primary pointer button (trac-3861) + // https://www.w3.org/TR/DOM-Level-3-Events/#event-type-click + // Support: IE 11 only + // ...but not arrow key "clicks" of radio inputs, which can have `button` -1 (gh-2343) + !( event.type === "click" && event.button >= 1 ) ) { + + for ( ; cur !== this; cur = cur.parentNode || this ) { + + // Don't check non-elements (#13208) + // Don't process clicks on disabled elements (#6911, #8165, #11382, #11764) + if ( cur.nodeType === 1 && !( event.type === "click" && cur.disabled === true ) ) { + matchedHandlers = []; + matchedSelectors = {}; + for ( i = 0; i < delegateCount; i++ ) { + handleObj = handlers[ i ]; + + // Don't conflict with Object.prototype properties (#13203) + sel = handleObj.selector + " "; + + if ( matchedSelectors[ sel ] === undefined ) { + matchedSelectors[ sel ] = handleObj.needsContext ? + jQuery( sel, this ).index( cur ) > -1 : + jQuery.find( sel, this, null, [ cur ] ).length; + } + if ( matchedSelectors[ sel ] ) { + matchedHandlers.push( handleObj ); + } + } + if ( matchedHandlers.length ) { + handlerQueue.push( { elem: cur, handlers: matchedHandlers } ); + } + } + } + } + + // Add the remaining (directly-bound) handlers + cur = this; + if ( delegateCount < handlers.length ) { + handlerQueue.push( { elem: cur, handlers: handlers.slice( delegateCount ) } ); + } + + return handlerQueue; + }, + + addProp: function( name, hook ) { + Object.defineProperty( jQuery.Event.prototype, name, { + enumerable: true, + configurable: true, + + get: isFunction( hook ) ? + function() { + if ( this.originalEvent ) { + return hook( this.originalEvent ); + } + } : + function() { + if ( this.originalEvent ) { + return this.originalEvent[ name ]; + } + }, + + set: function( value ) { + Object.defineProperty( this, name, { + enumerable: true, + configurable: true, + writable: true, + value: value + } ); + } + } ); + }, + + fix: function( originalEvent ) { + return originalEvent[ jQuery.expando ] ? + originalEvent : + new jQuery.Event( originalEvent ); + }, + + special: { + load: { + + // Prevent triggered image.load events from bubbling to window.load + noBubble: true + }, + click: { + + // Utilize native event to ensure correct state for checkable inputs + setup: function( data ) { + + // For mutual compressibility with _default, replace `this` access with a local var. + // `|| data` is dead code meant only to preserve the variable through minification. + var el = this || data; + + // Claim the first handler + if ( rcheckableType.test( el.type ) && + el.click && nodeName( el, "input" ) ) { + + // dataPriv.set( el, "click", ... ) + leverageNative( el, "click", returnTrue ); + } + + // Return false to allow normal processing in the caller + return false; + }, + trigger: function( data ) { + + // For mutual compressibility with _default, replace `this` access with a local var. + // `|| data` is dead code meant only to preserve the variable through minification. + var el = this || data; + + // Force setup before triggering a click + if ( rcheckableType.test( el.type ) && + el.click && nodeName( el, "input" ) ) { + + leverageNative( el, "click" ); + } + + // Return non-false to allow normal event-path propagation + return true; + }, + + // For cross-browser consistency, suppress native .click() on links + // Also prevent it if we're currently inside a leveraged native-event stack + _default: function( event ) { + var target = event.target; + return rcheckableType.test( target.type ) && + target.click && nodeName( target, "input" ) && + dataPriv.get( target, "click" ) || + nodeName( target, "a" ); + } + }, + + beforeunload: { + postDispatch: function( event ) { + + // Support: Firefox 20+ + // Firefox doesn't alert if the returnValue field is not set. + if ( event.result !== undefined && event.originalEvent ) { + event.originalEvent.returnValue = event.result; + } + } + } + } +}; + +// Ensure the presence of an event listener that handles manually-triggered +// synthetic events by interrupting progress until reinvoked in response to +// *native* events that it fires directly, ensuring that state changes have +// already occurred before other listeners are invoked. +function leverageNative( el, type, expectSync ) { + + // Missing expectSync indicates a trigger call, which must force setup through jQuery.event.add + if ( !expectSync ) { + if ( dataPriv.get( el, type ) === undefined ) { + jQuery.event.add( el, type, returnTrue ); + } + return; + } + + // Register the controller as a special universal handler for all event namespaces + dataPriv.set( el, type, false ); + jQuery.event.add( el, type, { + namespace: false, + handler: function( event ) { + var notAsync, result, + saved = dataPriv.get( this, type ); + + if ( ( event.isTrigger & 1 ) && this[ type ] ) { + + // Interrupt processing of the outer synthetic .trigger()ed event + // Saved data should be false in such cases, but might be a leftover capture object + // from an async native handler (gh-4350) + if ( !saved.length ) { + + // Store arguments for use when handling the inner native event + // There will always be at least one argument (an event object), so this array + // will not be confused with a leftover capture object. + saved = slice.call( arguments ); + dataPriv.set( this, type, saved ); + + // Trigger the native event and capture its result + // Support: IE <=9 - 11+ + // focus() and blur() are asynchronous + notAsync = expectSync( this, type ); + this[ type ](); + result = dataPriv.get( this, type ); + if ( saved !== result || notAsync ) { + dataPriv.set( this, type, false ); + } else { + result = {}; + } + if ( saved !== result ) { + + // Cancel the outer synthetic event + event.stopImmediatePropagation(); + event.preventDefault(); + + // Support: Chrome 86+ + // In Chrome, if an element having a focusout handler is blurred by + // clicking outside of it, it invokes the handler synchronously. If + // that handler calls `.remove()` on the element, the data is cleared, + // leaving `result` undefined. We need to guard against this. + return result && result.value; + } + + // If this is an inner synthetic event for an event with a bubbling surrogate + // (focus or blur), assume that the surrogate already propagated from triggering the + // native event and prevent that from happening again here. + // This technically gets the ordering wrong w.r.t. to `.trigger()` (in which the + // bubbling surrogate propagates *after* the non-bubbling base), but that seems + // less bad than duplication. + } else if ( ( jQuery.event.special[ type ] || {} ).delegateType ) { + event.stopPropagation(); + } + + // If this is a native event triggered above, everything is now in order + // Fire an inner synthetic event with the original arguments + } else if ( saved.length ) { + + // ...and capture the result + dataPriv.set( this, type, { + value: jQuery.event.trigger( + + // Support: IE <=9 - 11+ + // Extend with the prototype to reset the above stopImmediatePropagation() + jQuery.extend( saved[ 0 ], jQuery.Event.prototype ), + saved.slice( 1 ), + this + ) + } ); + + // Abort handling of the native event + event.stopImmediatePropagation(); + } + } + } ); +} + +jQuery.removeEvent = function( elem, type, handle ) { + + // This "if" is needed for plain objects + if ( elem.removeEventListener ) { + elem.removeEventListener( type, handle ); + } +}; + +jQuery.Event = function( src, props ) { + + // Allow instantiation without the 'new' keyword + if ( !( this instanceof jQuery.Event ) ) { + return new jQuery.Event( src, props ); + } + + // Event object + if ( src && src.type ) { + this.originalEvent = src; + this.type = src.type; + + // Events bubbling up the document may have been marked as prevented + // by a handler lower down the tree; reflect the correct value. + this.isDefaultPrevented = src.defaultPrevented || + src.defaultPrevented === undefined && + + // Support: Android <=2.3 only + src.returnValue === false ? + returnTrue : + returnFalse; + + // Create target properties + // Support: Safari <=6 - 7 only + // Target should not be a text node (#504, #13143) + this.target = ( src.target && src.target.nodeType === 3 ) ? + src.target.parentNode : + src.target; + + this.currentTarget = src.currentTarget; + this.relatedTarget = src.relatedTarget; + + // Event type + } else { + this.type = src; + } + + // Put explicitly provided properties onto the event object + if ( props ) { + jQuery.extend( this, props ); + } + + // Create a timestamp if incoming event doesn't have one + this.timeStamp = src && src.timeStamp || Date.now(); + + // Mark it as fixed + this[ jQuery.expando ] = true; +}; + +// jQuery.Event is based on DOM3 Events as specified by the ECMAScript Language Binding +// https://www.w3.org/TR/2003/WD-DOM-Level-3-Events-20030331/ecma-script-binding.html +jQuery.Event.prototype = { + constructor: jQuery.Event, + isDefaultPrevented: returnFalse, + isPropagationStopped: returnFalse, + isImmediatePropagationStopped: returnFalse, + isSimulated: false, + + preventDefault: function() { + var e = this.originalEvent; + + this.isDefaultPrevented = returnTrue; + + if ( e && !this.isSimulated ) { + e.preventDefault(); + } + }, + stopPropagation: function() { + var e = this.originalEvent; + + this.isPropagationStopped = returnTrue; + + if ( e && !this.isSimulated ) { + e.stopPropagation(); + } + }, + stopImmediatePropagation: function() { + var e = this.originalEvent; + + this.isImmediatePropagationStopped = returnTrue; + + if ( e && !this.isSimulated ) { + e.stopImmediatePropagation(); + } + + this.stopPropagation(); + } +}; + +// Includes all common event props including KeyEvent and MouseEvent specific props +jQuery.each( { + altKey: true, + bubbles: true, + cancelable: true, + changedTouches: true, + ctrlKey: true, + detail: true, + eventPhase: true, + metaKey: true, + pageX: true, + pageY: true, + shiftKey: true, + view: true, + "char": true, + code: true, + charCode: true, + key: true, + keyCode: true, + button: true, + buttons: true, + clientX: true, + clientY: true, + offsetX: true, + offsetY: true, + pointerId: true, + pointerType: true, + screenX: true, + screenY: true, + targetTouches: true, + toElement: true, + touches: true, + which: true +}, jQuery.event.addProp ); + +jQuery.each( { focus: "focusin", blur: "focusout" }, function( type, delegateType ) { + jQuery.event.special[ type ] = { + + // Utilize native event if possible so blur/focus sequence is correct + setup: function() { + + // Claim the first handler + // dataPriv.set( this, "focus", ... ) + // dataPriv.set( this, "blur", ... ) + leverageNative( this, type, expectSync ); + + // Return false to allow normal processing in the caller + return false; + }, + trigger: function() { + + // Force setup before trigger + leverageNative( this, type ); + + // Return non-false to allow normal event-path propagation + return true; + }, + + // Suppress native focus or blur as it's already being fired + // in leverageNative. + _default: function() { + return true; + }, + + delegateType: delegateType + }; +} ); + +// Create mouseenter/leave events using mouseover/out and event-time checks +// so that event delegation works in jQuery. +// Do the same for pointerenter/pointerleave and pointerover/pointerout +// +// Support: Safari 7 only +// Safari sends mouseenter too often; see: +// https://bugs.chromium.org/p/chromium/issues/detail?id=470258 +// for the description of the bug (it existed in older Chrome versions as well). +jQuery.each( { + mouseenter: "mouseover", + mouseleave: "mouseout", + pointerenter: "pointerover", + pointerleave: "pointerout" +}, function( orig, fix ) { + jQuery.event.special[ orig ] = { + delegateType: fix, + bindType: fix, + + handle: function( event ) { + var ret, + target = this, + related = event.relatedTarget, + handleObj = event.handleObj; + + // For mouseenter/leave call the handler if related is outside the target. + // NB: No relatedTarget if the mouse left/entered the browser window + if ( !related || ( related !== target && !jQuery.contains( target, related ) ) ) { + event.type = handleObj.origType; + ret = handleObj.handler.apply( this, arguments ); + event.type = fix; + } + return ret; + } + }; +} ); + +jQuery.fn.extend( { + + on: function( types, selector, data, fn ) { + return on( this, types, selector, data, fn ); + }, + one: function( types, selector, data, fn ) { + return on( this, types, selector, data, fn, 1 ); + }, + off: function( types, selector, fn ) { + var handleObj, type; + if ( types && types.preventDefault && types.handleObj ) { + + // ( event ) dispatched jQuery.Event + handleObj = types.handleObj; + jQuery( types.delegateTarget ).off( + handleObj.namespace ? + handleObj.origType + "." + handleObj.namespace : + handleObj.origType, + handleObj.selector, + handleObj.handler + ); + return this; + } + if ( typeof types === "object" ) { + + // ( types-object [, selector] ) + for ( type in types ) { + this.off( type, selector, types[ type ] ); + } + return this; + } + if ( selector === false || typeof selector === "function" ) { + + // ( types [, fn] ) + fn = selector; + selector = undefined; + } + if ( fn === false ) { + fn = returnFalse; + } + return this.each( function() { + jQuery.event.remove( this, types, fn, selector ); + } ); + } +} ); + + +var + + // Support: IE <=10 - 11, Edge 12 - 13 only + // In IE/Edge using regex groups here causes severe slowdowns. + // See https://connect.microsoft.com/IE/feedback/details/1736512/ + rnoInnerhtml = /\s*$/g; + +// Prefer a tbody over its parent table for containing new rows +function manipulationTarget( elem, content ) { + if ( nodeName( elem, "table" ) && + nodeName( content.nodeType !== 11 ? content : content.firstChild, "tr" ) ) { + + return jQuery( elem ).children( "tbody" )[ 0 ] || elem; + } + + return elem; +} + +// Replace/restore the type attribute of script elements for safe DOM manipulation +function disableScript( elem ) { + elem.type = ( elem.getAttribute( "type" ) !== null ) + "/" + elem.type; + return elem; +} +function restoreScript( elem ) { + if ( ( elem.type || "" ).slice( 0, 5 ) === "true/" ) { + elem.type = elem.type.slice( 5 ); + } else { + elem.removeAttribute( "type" ); + } + + return elem; +} + +function cloneCopyEvent( src, dest ) { + var i, l, type, pdataOld, udataOld, udataCur, events; + + if ( dest.nodeType !== 1 ) { + return; + } + + // 1. Copy private data: events, handlers, etc. + if ( dataPriv.hasData( src ) ) { + pdataOld = dataPriv.get( src ); + events = pdataOld.events; + + if ( events ) { + dataPriv.remove( dest, "handle events" ); + + for ( type in events ) { + for ( i = 0, l = events[ type ].length; i < l; i++ ) { + jQuery.event.add( dest, type, events[ type ][ i ] ); + } + } + } + } + + // 2. Copy user data + if ( dataUser.hasData( src ) ) { + udataOld = dataUser.access( src ); + udataCur = jQuery.extend( {}, udataOld ); + + dataUser.set( dest, udataCur ); + } +} + +// Fix IE bugs, see support tests +function fixInput( src, dest ) { + var nodeName = dest.nodeName.toLowerCase(); + + // Fails to persist the checked state of a cloned checkbox or radio button. + if ( nodeName === "input" && rcheckableType.test( src.type ) ) { + dest.checked = src.checked; + + // Fails to return the selected option to the default selected state when cloning options + } else if ( nodeName === "input" || nodeName === "textarea" ) { + dest.defaultValue = src.defaultValue; + } +} + +function domManip( collection, args, callback, ignored ) { + + // Flatten any nested arrays + args = flat( args ); + + var fragment, first, scripts, hasScripts, node, doc, + i = 0, + l = collection.length, + iNoClone = l - 1, + value = args[ 0 ], + valueIsFunction = isFunction( value ); + + // We can't cloneNode fragments that contain checked, in WebKit + if ( valueIsFunction || + ( l > 1 && typeof value === "string" && + !support.checkClone && rchecked.test( value ) ) ) { + return collection.each( function( index ) { + var self = collection.eq( index ); + if ( valueIsFunction ) { + args[ 0 ] = value.call( this, index, self.html() ); + } + domManip( self, args, callback, ignored ); + } ); + } + + if ( l ) { + fragment = buildFragment( args, collection[ 0 ].ownerDocument, false, collection, ignored ); + first = fragment.firstChild; + + if ( fragment.childNodes.length === 1 ) { + fragment = first; + } + + // Require either new content or an interest in ignored elements to invoke the callback + if ( first || ignored ) { + scripts = jQuery.map( getAll( fragment, "script" ), disableScript ); + hasScripts = scripts.length; + + // Use the original fragment for the last item + // instead of the first because it can end up + // being emptied incorrectly in certain situations (#8070). + for ( ; i < l; i++ ) { + node = fragment; + + if ( i !== iNoClone ) { + node = jQuery.clone( node, true, true ); + + // Keep references to cloned scripts for later restoration + if ( hasScripts ) { + + // Support: Android <=4.0 only, PhantomJS 1 only + // push.apply(_, arraylike) throws on ancient WebKit + jQuery.merge( scripts, getAll( node, "script" ) ); + } + } + + callback.call( collection[ i ], node, i ); + } + + if ( hasScripts ) { + doc = scripts[ scripts.length - 1 ].ownerDocument; + + // Reenable scripts + jQuery.map( scripts, restoreScript ); + + // Evaluate executable scripts on first document insertion + for ( i = 0; i < hasScripts; i++ ) { + node = scripts[ i ]; + if ( rscriptType.test( node.type || "" ) && + !dataPriv.access( node, "globalEval" ) && + jQuery.contains( doc, node ) ) { + + if ( node.src && ( node.type || "" ).toLowerCase() !== "module" ) { + + // Optional AJAX dependency, but won't run scripts if not present + if ( jQuery._evalUrl && !node.noModule ) { + jQuery._evalUrl( node.src, { + nonce: node.nonce || node.getAttribute( "nonce" ) + }, doc ); + } + } else { + DOMEval( node.textContent.replace( rcleanScript, "" ), node, doc ); + } + } + } + } + } + } + + return collection; +} + +function remove( elem, selector, keepData ) { + var node, + nodes = selector ? jQuery.filter( selector, elem ) : elem, + i = 0; + + for ( ; ( node = nodes[ i ] ) != null; i++ ) { + if ( !keepData && node.nodeType === 1 ) { + jQuery.cleanData( getAll( node ) ); + } + + if ( node.parentNode ) { + if ( keepData && isAttached( node ) ) { + setGlobalEval( getAll( node, "script" ) ); + } + node.parentNode.removeChild( node ); + } + } + + return elem; +} + +jQuery.extend( { + htmlPrefilter: function( html ) { + return html; + }, + + clone: function( elem, dataAndEvents, deepDataAndEvents ) { + var i, l, srcElements, destElements, + clone = elem.cloneNode( true ), + inPage = isAttached( elem ); + + // Fix IE cloning issues + if ( !support.noCloneChecked && ( elem.nodeType === 1 || elem.nodeType === 11 ) && + !jQuery.isXMLDoc( elem ) ) { + + // We eschew Sizzle here for performance reasons: https://jsperf.com/getall-vs-sizzle/2 + destElements = getAll( clone ); + srcElements = getAll( elem ); + + for ( i = 0, l = srcElements.length; i < l; i++ ) { + fixInput( srcElements[ i ], destElements[ i ] ); + } + } + + // Copy the events from the original to the clone + if ( dataAndEvents ) { + if ( deepDataAndEvents ) { + srcElements = srcElements || getAll( elem ); + destElements = destElements || getAll( clone ); + + for ( i = 0, l = srcElements.length; i < l; i++ ) { + cloneCopyEvent( srcElements[ i ], destElements[ i ] ); + } + } else { + cloneCopyEvent( elem, clone ); + } + } + + // Preserve script evaluation history + destElements = getAll( clone, "script" ); + if ( destElements.length > 0 ) { + setGlobalEval( destElements, !inPage && getAll( elem, "script" ) ); + } + + // Return the cloned set + return clone; + }, + + cleanData: function( elems ) { + var data, elem, type, + special = jQuery.event.special, + i = 0; + + for ( ; ( elem = elems[ i ] ) !== undefined; i++ ) { + if ( acceptData( elem ) ) { + if ( ( data = elem[ dataPriv.expando ] ) ) { + if ( data.events ) { + for ( type in data.events ) { + if ( special[ type ] ) { + jQuery.event.remove( elem, type ); + + // This is a shortcut to avoid jQuery.event.remove's overhead + } else { + jQuery.removeEvent( elem, type, data.handle ); + } + } + } + + // Support: Chrome <=35 - 45+ + // Assign undefined instead of using delete, see Data#remove + elem[ dataPriv.expando ] = undefined; + } + if ( elem[ dataUser.expando ] ) { + + // Support: Chrome <=35 - 45+ + // Assign undefined instead of using delete, see Data#remove + elem[ dataUser.expando ] = undefined; + } + } + } + } +} ); + +jQuery.fn.extend( { + detach: function( selector ) { + return remove( this, selector, true ); + }, + + remove: function( selector ) { + return remove( this, selector ); + }, + + text: function( value ) { + return access( this, function( value ) { + return value === undefined ? + jQuery.text( this ) : + this.empty().each( function() { + if ( this.nodeType === 1 || this.nodeType === 11 || this.nodeType === 9 ) { + this.textContent = value; + } + } ); + }, null, value, arguments.length ); + }, + + append: function() { + return domManip( this, arguments, function( elem ) { + if ( this.nodeType === 1 || this.nodeType === 11 || this.nodeType === 9 ) { + var target = manipulationTarget( this, elem ); + target.appendChild( elem ); + } + } ); + }, + + prepend: function() { + return domManip( this, arguments, function( elem ) { + if ( this.nodeType === 1 || this.nodeType === 11 || this.nodeType === 9 ) { + var target = manipulationTarget( this, elem ); + target.insertBefore( elem, target.firstChild ); + } + } ); + }, + + before: function() { + return domManip( this, arguments, function( elem ) { + if ( this.parentNode ) { + this.parentNode.insertBefore( elem, this ); + } + } ); + }, + + after: function() { + return domManip( this, arguments, function( elem ) { + if ( this.parentNode ) { + this.parentNode.insertBefore( elem, this.nextSibling ); + } + } ); + }, + + empty: function() { + var elem, + i = 0; + + for ( ; ( elem = this[ i ] ) != null; i++ ) { + if ( elem.nodeType === 1 ) { + + // Prevent memory leaks + jQuery.cleanData( getAll( elem, false ) ); + + // Remove any remaining nodes + elem.textContent = ""; + } + } + + return this; + }, + + clone: function( dataAndEvents, deepDataAndEvents ) { + dataAndEvents = dataAndEvents == null ? false : dataAndEvents; + deepDataAndEvents = deepDataAndEvents == null ? dataAndEvents : deepDataAndEvents; + + return this.map( function() { + return jQuery.clone( this, dataAndEvents, deepDataAndEvents ); + } ); + }, + + html: function( value ) { + return access( this, function( value ) { + var elem = this[ 0 ] || {}, + i = 0, + l = this.length; + + if ( value === undefined && elem.nodeType === 1 ) { + return elem.innerHTML; + } + + // See if we can take a shortcut and just use innerHTML + if ( typeof value === "string" && !rnoInnerhtml.test( value ) && + !wrapMap[ ( rtagName.exec( value ) || [ "", "" ] )[ 1 ].toLowerCase() ] ) { + + value = jQuery.htmlPrefilter( value ); + + try { + for ( ; i < l; i++ ) { + elem = this[ i ] || {}; + + // Remove element nodes and prevent memory leaks + if ( elem.nodeType === 1 ) { + jQuery.cleanData( getAll( elem, false ) ); + elem.innerHTML = value; + } + } + + elem = 0; + + // If using innerHTML throws an exception, use the fallback method + } catch ( e ) {} + } + + if ( elem ) { + this.empty().append( value ); + } + }, null, value, arguments.length ); + }, + + replaceWith: function() { + var ignored = []; + + // Make the changes, replacing each non-ignored context element with the new content + return domManip( this, arguments, function( elem ) { + var parent = this.parentNode; + + if ( jQuery.inArray( this, ignored ) < 0 ) { + jQuery.cleanData( getAll( this ) ); + if ( parent ) { + parent.replaceChild( elem, this ); + } + } + + // Force callback invocation + }, ignored ); + } +} ); + +jQuery.each( { + appendTo: "append", + prependTo: "prepend", + insertBefore: "before", + insertAfter: "after", + replaceAll: "replaceWith" +}, function( name, original ) { + jQuery.fn[ name ] = function( selector ) { + var elems, + ret = [], + insert = jQuery( selector ), + last = insert.length - 1, + i = 0; + + for ( ; i <= last; i++ ) { + elems = i === last ? this : this.clone( true ); + jQuery( insert[ i ] )[ original ]( elems ); + + // Support: Android <=4.0 only, PhantomJS 1 only + // .get() because push.apply(_, arraylike) throws on ancient WebKit + push.apply( ret, elems.get() ); + } + + return this.pushStack( ret ); + }; +} ); +var rnumnonpx = new RegExp( "^(" + pnum + ")(?!px)[a-z%]+$", "i" ); + +var getStyles = function( elem ) { + + // Support: IE <=11 only, Firefox <=30 (#15098, #14150) + // IE throws on elements created in popups + // FF meanwhile throws on frame elements through "defaultView.getComputedStyle" + var view = elem.ownerDocument.defaultView; + + if ( !view || !view.opener ) { + view = window; + } + + return view.getComputedStyle( elem ); + }; + +var swap = function( elem, options, callback ) { + var ret, name, + old = {}; + + // Remember the old values, and insert the new ones + for ( name in options ) { + old[ name ] = elem.style[ name ]; + elem.style[ name ] = options[ name ]; + } + + ret = callback.call( elem ); + + // Revert the old values + for ( name in options ) { + elem.style[ name ] = old[ name ]; + } + + return ret; +}; + + +var rboxStyle = new RegExp( cssExpand.join( "|" ), "i" ); + + + +( function() { + + // Executing both pixelPosition & boxSizingReliable tests require only one layout + // so they're executed at the same time to save the second computation. + function computeStyleTests() { + + // This is a singleton, we need to execute it only once + if ( !div ) { + return; + } + + container.style.cssText = "position:absolute;left:-11111px;width:60px;" + + "margin-top:1px;padding:0;border:0"; + div.style.cssText = + "position:relative;display:block;box-sizing:border-box;overflow:scroll;" + + "margin:auto;border:1px;padding:1px;" + + "width:60%;top:1%"; + documentElement.appendChild( container ).appendChild( div ); + + var divStyle = window.getComputedStyle( div ); + pixelPositionVal = divStyle.top !== "1%"; + + // Support: Android 4.0 - 4.3 only, Firefox <=3 - 44 + reliableMarginLeftVal = roundPixelMeasures( divStyle.marginLeft ) === 12; + + // Support: Android 4.0 - 4.3 only, Safari <=9.1 - 10.1, iOS <=7.0 - 9.3 + // Some styles come back with percentage values, even though they shouldn't + div.style.right = "60%"; + pixelBoxStylesVal = roundPixelMeasures( divStyle.right ) === 36; + + // Support: IE 9 - 11 only + // Detect misreporting of content dimensions for box-sizing:border-box elements + boxSizingReliableVal = roundPixelMeasures( divStyle.width ) === 36; + + // Support: IE 9 only + // Detect overflow:scroll screwiness (gh-3699) + // Support: Chrome <=64 + // Don't get tricked when zoom affects offsetWidth (gh-4029) + div.style.position = "absolute"; + scrollboxSizeVal = roundPixelMeasures( div.offsetWidth / 3 ) === 12; + + documentElement.removeChild( container ); + + // Nullify the div so it wouldn't be stored in the memory and + // it will also be a sign that checks already performed + div = null; + } + + function roundPixelMeasures( measure ) { + return Math.round( parseFloat( measure ) ); + } + + var pixelPositionVal, boxSizingReliableVal, scrollboxSizeVal, pixelBoxStylesVal, + reliableTrDimensionsVal, reliableMarginLeftVal, + container = document.createElement( "div" ), + div = document.createElement( "div" ); + + // Finish early in limited (non-browser) environments + if ( !div.style ) { + return; + } + + // Support: IE <=9 - 11 only + // Style of cloned element affects source element cloned (#8908) + div.style.backgroundClip = "content-box"; + div.cloneNode( true ).style.backgroundClip = ""; + support.clearCloneStyle = div.style.backgroundClip === "content-box"; + + jQuery.extend( support, { + boxSizingReliable: function() { + computeStyleTests(); + return boxSizingReliableVal; + }, + pixelBoxStyles: function() { + computeStyleTests(); + return pixelBoxStylesVal; + }, + pixelPosition: function() { + computeStyleTests(); + return pixelPositionVal; + }, + reliableMarginLeft: function() { + computeStyleTests(); + return reliableMarginLeftVal; + }, + scrollboxSize: function() { + computeStyleTests(); + return scrollboxSizeVal; + }, + + // Support: IE 9 - 11+, Edge 15 - 18+ + // IE/Edge misreport `getComputedStyle` of table rows with width/height + // set in CSS while `offset*` properties report correct values. + // Behavior in IE 9 is more subtle than in newer versions & it passes + // some versions of this test; make sure not to make it pass there! + // + // Support: Firefox 70+ + // Only Firefox includes border widths + // in computed dimensions. (gh-4529) + reliableTrDimensions: function() { + var table, tr, trChild, trStyle; + if ( reliableTrDimensionsVal == null ) { + table = document.createElement( "table" ); + tr = document.createElement( "tr" ); + trChild = document.createElement( "div" ); + + table.style.cssText = "position:absolute;left:-11111px;border-collapse:separate"; + tr.style.cssText = "border:1px solid"; + + // Support: Chrome 86+ + // Height set through cssText does not get applied. + // Computed height then comes back as 0. + tr.style.height = "1px"; + trChild.style.height = "9px"; + + // Support: Android 8 Chrome 86+ + // In our bodyBackground.html iframe, + // display for all div elements is set to "inline", + // which causes a problem only in Android 8 Chrome 86. + // Ensuring the div is display: block + // gets around this issue. + trChild.style.display = "block"; + + documentElement + .appendChild( table ) + .appendChild( tr ) + .appendChild( trChild ); + + trStyle = window.getComputedStyle( tr ); + reliableTrDimensionsVal = ( parseInt( trStyle.height, 10 ) + + parseInt( trStyle.borderTopWidth, 10 ) + + parseInt( trStyle.borderBottomWidth, 10 ) ) === tr.offsetHeight; + + documentElement.removeChild( table ); + } + return reliableTrDimensionsVal; + } + } ); +} )(); + + +function curCSS( elem, name, computed ) { + var width, minWidth, maxWidth, ret, + + // Support: Firefox 51+ + // Retrieving style before computed somehow + // fixes an issue with getting wrong values + // on detached elements + style = elem.style; + + computed = computed || getStyles( elem ); + + // getPropertyValue is needed for: + // .css('filter') (IE 9 only, #12537) + // .css('--customProperty) (#3144) + if ( computed ) { + ret = computed.getPropertyValue( name ) || computed[ name ]; + + if ( ret === "" && !isAttached( elem ) ) { + ret = jQuery.style( elem, name ); + } + + // A tribute to the "awesome hack by Dean Edwards" + // Android Browser returns percentage for some values, + // but width seems to be reliably pixels. + // This is against the CSSOM draft spec: + // https://drafts.csswg.org/cssom/#resolved-values + if ( !support.pixelBoxStyles() && rnumnonpx.test( ret ) && rboxStyle.test( name ) ) { + + // Remember the original values + width = style.width; + minWidth = style.minWidth; + maxWidth = style.maxWidth; + + // Put in the new values to get a computed value out + style.minWidth = style.maxWidth = style.width = ret; + ret = computed.width; + + // Revert the changed values + style.width = width; + style.minWidth = minWidth; + style.maxWidth = maxWidth; + } + } + + return ret !== undefined ? + + // Support: IE <=9 - 11 only + // IE returns zIndex value as an integer. + ret + "" : + ret; +} + + +function addGetHookIf( conditionFn, hookFn ) { + + // Define the hook, we'll check on the first run if it's really needed. + return { + get: function() { + if ( conditionFn() ) { + + // Hook not needed (or it's not possible to use it due + // to missing dependency), remove it. + delete this.get; + return; + } + + // Hook needed; redefine it so that the support test is not executed again. + return ( this.get = hookFn ).apply( this, arguments ); + } + }; +} + + +var cssPrefixes = [ "Webkit", "Moz", "ms" ], + emptyStyle = document.createElement( "div" ).style, + vendorProps = {}; + +// Return a vendor-prefixed property or undefined +function vendorPropName( name ) { + + // Check for vendor prefixed names + var capName = name[ 0 ].toUpperCase() + name.slice( 1 ), + i = cssPrefixes.length; + + while ( i-- ) { + name = cssPrefixes[ i ] + capName; + if ( name in emptyStyle ) { + return name; + } + } +} + +// Return a potentially-mapped jQuery.cssProps or vendor prefixed property +function finalPropName( name ) { + var final = jQuery.cssProps[ name ] || vendorProps[ name ]; + + if ( final ) { + return final; + } + if ( name in emptyStyle ) { + return name; + } + return vendorProps[ name ] = vendorPropName( name ) || name; +} + + +var + + // Swappable if display is none or starts with table + // except "table", "table-cell", or "table-caption" + // See here for display values: https://developer.mozilla.org/en-US/docs/CSS/display + rdisplayswap = /^(none|table(?!-c[ea]).+)/, + rcustomProp = /^--/, + cssShow = { position: "absolute", visibility: "hidden", display: "block" }, + cssNormalTransform = { + letterSpacing: "0", + fontWeight: "400" + }; + +function setPositiveNumber( _elem, value, subtract ) { + + // Any relative (+/-) values have already been + // normalized at this point + var matches = rcssNum.exec( value ); + return matches ? + + // Guard against undefined "subtract", e.g., when used as in cssHooks + Math.max( 0, matches[ 2 ] - ( subtract || 0 ) ) + ( matches[ 3 ] || "px" ) : + value; +} + +function boxModelAdjustment( elem, dimension, box, isBorderBox, styles, computedVal ) { + var i = dimension === "width" ? 1 : 0, + extra = 0, + delta = 0; + + // Adjustment may not be necessary + if ( box === ( isBorderBox ? "border" : "content" ) ) { + return 0; + } + + for ( ; i < 4; i += 2 ) { + + // Both box models exclude margin + if ( box === "margin" ) { + delta += jQuery.css( elem, box + cssExpand[ i ], true, styles ); + } + + // If we get here with a content-box, we're seeking "padding" or "border" or "margin" + if ( !isBorderBox ) { + + // Add padding + delta += jQuery.css( elem, "padding" + cssExpand[ i ], true, styles ); + + // For "border" or "margin", add border + if ( box !== "padding" ) { + delta += jQuery.css( elem, "border" + cssExpand[ i ] + "Width", true, styles ); + + // But still keep track of it otherwise + } else { + extra += jQuery.css( elem, "border" + cssExpand[ i ] + "Width", true, styles ); + } + + // If we get here with a border-box (content + padding + border), we're seeking "content" or + // "padding" or "margin" + } else { + + // For "content", subtract padding + if ( box === "content" ) { + delta -= jQuery.css( elem, "padding" + cssExpand[ i ], true, styles ); + } + + // For "content" or "padding", subtract border + if ( box !== "margin" ) { + delta -= jQuery.css( elem, "border" + cssExpand[ i ] + "Width", true, styles ); + } + } + } + + // Account for positive content-box scroll gutter when requested by providing computedVal + if ( !isBorderBox && computedVal >= 0 ) { + + // offsetWidth/offsetHeight is a rounded sum of content, padding, scroll gutter, and border + // Assuming integer scroll gutter, subtract the rest and round down + delta += Math.max( 0, Math.ceil( + elem[ "offset" + dimension[ 0 ].toUpperCase() + dimension.slice( 1 ) ] - + computedVal - + delta - + extra - + 0.5 + + // If offsetWidth/offsetHeight is unknown, then we can't determine content-box scroll gutter + // Use an explicit zero to avoid NaN (gh-3964) + ) ) || 0; + } + + return delta; +} + +function getWidthOrHeight( elem, dimension, extra ) { + + // Start with computed style + var styles = getStyles( elem ), + + // To avoid forcing a reflow, only fetch boxSizing if we need it (gh-4322). + // Fake content-box until we know it's needed to know the true value. + boxSizingNeeded = !support.boxSizingReliable() || extra, + isBorderBox = boxSizingNeeded && + jQuery.css( elem, "boxSizing", false, styles ) === "border-box", + valueIsBorderBox = isBorderBox, + + val = curCSS( elem, dimension, styles ), + offsetProp = "offset" + dimension[ 0 ].toUpperCase() + dimension.slice( 1 ); + + // Support: Firefox <=54 + // Return a confounding non-pixel value or feign ignorance, as appropriate. + if ( rnumnonpx.test( val ) ) { + if ( !extra ) { + return val; + } + val = "auto"; + } + + + // Support: IE 9 - 11 only + // Use offsetWidth/offsetHeight for when box sizing is unreliable. + // In those cases, the computed value can be trusted to be border-box. + if ( ( !support.boxSizingReliable() && isBorderBox || + + // Support: IE 10 - 11+, Edge 15 - 18+ + // IE/Edge misreport `getComputedStyle` of table rows with width/height + // set in CSS while `offset*` properties report correct values. + // Interestingly, in some cases IE 9 doesn't suffer from this issue. + !support.reliableTrDimensions() && nodeName( elem, "tr" ) || + + // Fall back to offsetWidth/offsetHeight when value is "auto" + // This happens for inline elements with no explicit setting (gh-3571) + val === "auto" || + + // Support: Android <=4.1 - 4.3 only + // Also use offsetWidth/offsetHeight for misreported inline dimensions (gh-3602) + !parseFloat( val ) && jQuery.css( elem, "display", false, styles ) === "inline" ) && + + // Make sure the element is visible & connected + elem.getClientRects().length ) { + + isBorderBox = jQuery.css( elem, "boxSizing", false, styles ) === "border-box"; + + // Where available, offsetWidth/offsetHeight approximate border box dimensions. + // Where not available (e.g., SVG), assume unreliable box-sizing and interpret the + // retrieved value as a content box dimension. + valueIsBorderBox = offsetProp in elem; + if ( valueIsBorderBox ) { + val = elem[ offsetProp ]; + } + } + + // Normalize "" and auto + val = parseFloat( val ) || 0; + + // Adjust for the element's box model + return ( val + + boxModelAdjustment( + elem, + dimension, + extra || ( isBorderBox ? "border" : "content" ), + valueIsBorderBox, + styles, + + // Provide the current computed size to request scroll gutter calculation (gh-3589) + val + ) + ) + "px"; +} + +jQuery.extend( { + + // Add in style property hooks for overriding the default + // behavior of getting and setting a style property + cssHooks: { + opacity: { + get: function( elem, computed ) { + if ( computed ) { + + // We should always get a number back from opacity + var ret = curCSS( elem, "opacity" ); + return ret === "" ? "1" : ret; + } + } + } + }, + + // Don't automatically add "px" to these possibly-unitless properties + cssNumber: { + "animationIterationCount": true, + "columnCount": true, + "fillOpacity": true, + "flexGrow": true, + "flexShrink": true, + "fontWeight": true, + "gridArea": true, + "gridColumn": true, + "gridColumnEnd": true, + "gridColumnStart": true, + "gridRow": true, + "gridRowEnd": true, + "gridRowStart": true, + "lineHeight": true, + "opacity": true, + "order": true, + "orphans": true, + "widows": true, + "zIndex": true, + "zoom": true + }, + + // Add in properties whose names you wish to fix before + // setting or getting the value + cssProps: {}, + + // Get and set the style property on a DOM Node + style: function( elem, name, value, extra ) { + + // Don't set styles on text and comment nodes + if ( !elem || elem.nodeType === 3 || elem.nodeType === 8 || !elem.style ) { + return; + } + + // Make sure that we're working with the right name + var ret, type, hooks, + origName = camelCase( name ), + isCustomProp = rcustomProp.test( name ), + style = elem.style; + + // Make sure that we're working with the right name. We don't + // want to query the value if it is a CSS custom property + // since they are user-defined. + if ( !isCustomProp ) { + name = finalPropName( origName ); + } + + // Gets hook for the prefixed version, then unprefixed version + hooks = jQuery.cssHooks[ name ] || jQuery.cssHooks[ origName ]; + + // Check if we're setting a value + if ( value !== undefined ) { + type = typeof value; + + // Convert "+=" or "-=" to relative numbers (#7345) + if ( type === "string" && ( ret = rcssNum.exec( value ) ) && ret[ 1 ] ) { + value = adjustCSS( elem, name, ret ); + + // Fixes bug #9237 + type = "number"; + } + + // Make sure that null and NaN values aren't set (#7116) + if ( value == null || value !== value ) { + return; + } + + // If a number was passed in, add the unit (except for certain CSS properties) + // The isCustomProp check can be removed in jQuery 4.0 when we only auto-append + // "px" to a few hardcoded values. + if ( type === "number" && !isCustomProp ) { + value += ret && ret[ 3 ] || ( jQuery.cssNumber[ origName ] ? "" : "px" ); + } + + // background-* props affect original clone's values + if ( !support.clearCloneStyle && value === "" && name.indexOf( "background" ) === 0 ) { + style[ name ] = "inherit"; + } + + // If a hook was provided, use that value, otherwise just set the specified value + if ( !hooks || !( "set" in hooks ) || + ( value = hooks.set( elem, value, extra ) ) !== undefined ) { + + if ( isCustomProp ) { + style.setProperty( name, value ); + } else { + style[ name ] = value; + } + } + + } else { + + // If a hook was provided get the non-computed value from there + if ( hooks && "get" in hooks && + ( ret = hooks.get( elem, false, extra ) ) !== undefined ) { + + return ret; + } + + // Otherwise just get the value from the style object + return style[ name ]; + } + }, + + css: function( elem, name, extra, styles ) { + var val, num, hooks, + origName = camelCase( name ), + isCustomProp = rcustomProp.test( name ); + + // Make sure that we're working with the right name. We don't + // want to modify the value if it is a CSS custom property + // since they are user-defined. + if ( !isCustomProp ) { + name = finalPropName( origName ); + } + + // Try prefixed name followed by the unprefixed name + hooks = jQuery.cssHooks[ name ] || jQuery.cssHooks[ origName ]; + + // If a hook was provided get the computed value from there + if ( hooks && "get" in hooks ) { + val = hooks.get( elem, true, extra ); + } + + // Otherwise, if a way to get the computed value exists, use that + if ( val === undefined ) { + val = curCSS( elem, name, styles ); + } + + // Convert "normal" to computed value + if ( val === "normal" && name in cssNormalTransform ) { + val = cssNormalTransform[ name ]; + } + + // Make numeric if forced or a qualifier was provided and val looks numeric + if ( extra === "" || extra ) { + num = parseFloat( val ); + return extra === true || isFinite( num ) ? num || 0 : val; + } + + return val; + } +} ); + +jQuery.each( [ "height", "width" ], function( _i, dimension ) { + jQuery.cssHooks[ dimension ] = { + get: function( elem, computed, extra ) { + if ( computed ) { + + // Certain elements can have dimension info if we invisibly show them + // but it must have a current display style that would benefit + return rdisplayswap.test( jQuery.css( elem, "display" ) ) && + + // Support: Safari 8+ + // Table columns in Safari have non-zero offsetWidth & zero + // getBoundingClientRect().width unless display is changed. + // Support: IE <=11 only + // Running getBoundingClientRect on a disconnected node + // in IE throws an error. + ( !elem.getClientRects().length || !elem.getBoundingClientRect().width ) ? + swap( elem, cssShow, function() { + return getWidthOrHeight( elem, dimension, extra ); + } ) : + getWidthOrHeight( elem, dimension, extra ); + } + }, + + set: function( elem, value, extra ) { + var matches, + styles = getStyles( elem ), + + // Only read styles.position if the test has a chance to fail + // to avoid forcing a reflow. + scrollboxSizeBuggy = !support.scrollboxSize() && + styles.position === "absolute", + + // To avoid forcing a reflow, only fetch boxSizing if we need it (gh-3991) + boxSizingNeeded = scrollboxSizeBuggy || extra, + isBorderBox = boxSizingNeeded && + jQuery.css( elem, "boxSizing", false, styles ) === "border-box", + subtract = extra ? + boxModelAdjustment( + elem, + dimension, + extra, + isBorderBox, + styles + ) : + 0; + + // Account for unreliable border-box dimensions by comparing offset* to computed and + // faking a content-box to get border and padding (gh-3699) + if ( isBorderBox && scrollboxSizeBuggy ) { + subtract -= Math.ceil( + elem[ "offset" + dimension[ 0 ].toUpperCase() + dimension.slice( 1 ) ] - + parseFloat( styles[ dimension ] ) - + boxModelAdjustment( elem, dimension, "border", false, styles ) - + 0.5 + ); + } + + // Convert to pixels if value adjustment is needed + if ( subtract && ( matches = rcssNum.exec( value ) ) && + ( matches[ 3 ] || "px" ) !== "px" ) { + + elem.style[ dimension ] = value; + value = jQuery.css( elem, dimension ); + } + + return setPositiveNumber( elem, value, subtract ); + } + }; +} ); + +jQuery.cssHooks.marginLeft = addGetHookIf( support.reliableMarginLeft, + function( elem, computed ) { + if ( computed ) { + return ( parseFloat( curCSS( elem, "marginLeft" ) ) || + elem.getBoundingClientRect().left - + swap( elem, { marginLeft: 0 }, function() { + return elem.getBoundingClientRect().left; + } ) + ) + "px"; + } + } +); + +// These hooks are used by animate to expand properties +jQuery.each( { + margin: "", + padding: "", + border: "Width" +}, function( prefix, suffix ) { + jQuery.cssHooks[ prefix + suffix ] = { + expand: function( value ) { + var i = 0, + expanded = {}, + + // Assumes a single number if not a string + parts = typeof value === "string" ? value.split( " " ) : [ value ]; + + for ( ; i < 4; i++ ) { + expanded[ prefix + cssExpand[ i ] + suffix ] = + parts[ i ] || parts[ i - 2 ] || parts[ 0 ]; + } + + return expanded; + } + }; + + if ( prefix !== "margin" ) { + jQuery.cssHooks[ prefix + suffix ].set = setPositiveNumber; + } +} ); + +jQuery.fn.extend( { + css: function( name, value ) { + return access( this, function( elem, name, value ) { + var styles, len, + map = {}, + i = 0; + + if ( Array.isArray( name ) ) { + styles = getStyles( elem ); + len = name.length; + + for ( ; i < len; i++ ) { + map[ name[ i ] ] = jQuery.css( elem, name[ i ], false, styles ); + } + + return map; + } + + return value !== undefined ? + jQuery.style( elem, name, value ) : + jQuery.css( elem, name ); + }, name, value, arguments.length > 1 ); + } +} ); + + +function Tween( elem, options, prop, end, easing ) { + return new Tween.prototype.init( elem, options, prop, end, easing ); +} +jQuery.Tween = Tween; + +Tween.prototype = { + constructor: Tween, + init: function( elem, options, prop, end, easing, unit ) { + this.elem = elem; + this.prop = prop; + this.easing = easing || jQuery.easing._default; + this.options = options; + this.start = this.now = this.cur(); + this.end = end; + this.unit = unit || ( jQuery.cssNumber[ prop ] ? "" : "px" ); + }, + cur: function() { + var hooks = Tween.propHooks[ this.prop ]; + + return hooks && hooks.get ? + hooks.get( this ) : + Tween.propHooks._default.get( this ); + }, + run: function( percent ) { + var eased, + hooks = Tween.propHooks[ this.prop ]; + + if ( this.options.duration ) { + this.pos = eased = jQuery.easing[ this.easing ]( + percent, this.options.duration * percent, 0, 1, this.options.duration + ); + } else { + this.pos = eased = percent; + } + this.now = ( this.end - this.start ) * eased + this.start; + + if ( this.options.step ) { + this.options.step.call( this.elem, this.now, this ); + } + + if ( hooks && hooks.set ) { + hooks.set( this ); + } else { + Tween.propHooks._default.set( this ); + } + return this; + } +}; + +Tween.prototype.init.prototype = Tween.prototype; + +Tween.propHooks = { + _default: { + get: function( tween ) { + var result; + + // Use a property on the element directly when it is not a DOM element, + // or when there is no matching style property that exists. + if ( tween.elem.nodeType !== 1 || + tween.elem[ tween.prop ] != null && tween.elem.style[ tween.prop ] == null ) { + return tween.elem[ tween.prop ]; + } + + // Passing an empty string as a 3rd parameter to .css will automatically + // attempt a parseFloat and fallback to a string if the parse fails. + // Simple values such as "10px" are parsed to Float; + // complex values such as "rotate(1rad)" are returned as-is. + result = jQuery.css( tween.elem, tween.prop, "" ); + + // Empty strings, null, undefined and "auto" are converted to 0. + return !result || result === "auto" ? 0 : result; + }, + set: function( tween ) { + + // Use step hook for back compat. + // Use cssHook if its there. + // Use .style if available and use plain properties where available. + if ( jQuery.fx.step[ tween.prop ] ) { + jQuery.fx.step[ tween.prop ]( tween ); + } else if ( tween.elem.nodeType === 1 && ( + jQuery.cssHooks[ tween.prop ] || + tween.elem.style[ finalPropName( tween.prop ) ] != null ) ) { + jQuery.style( tween.elem, tween.prop, tween.now + tween.unit ); + } else { + tween.elem[ tween.prop ] = tween.now; + } + } + } +}; + +// Support: IE <=9 only +// Panic based approach to setting things on disconnected nodes +Tween.propHooks.scrollTop = Tween.propHooks.scrollLeft = { + set: function( tween ) { + if ( tween.elem.nodeType && tween.elem.parentNode ) { + tween.elem[ tween.prop ] = tween.now; + } + } +}; + +jQuery.easing = { + linear: function( p ) { + return p; + }, + swing: function( p ) { + return 0.5 - Math.cos( p * Math.PI ) / 2; + }, + _default: "swing" +}; + +jQuery.fx = Tween.prototype.init; + +// Back compat <1.8 extension point +jQuery.fx.step = {}; + + + + +var + fxNow, inProgress, + rfxtypes = /^(?:toggle|show|hide)$/, + rrun = /queueHooks$/; + +function schedule() { + if ( inProgress ) { + if ( document.hidden === false && window.requestAnimationFrame ) { + window.requestAnimationFrame( schedule ); + } else { + window.setTimeout( schedule, jQuery.fx.interval ); + } + + jQuery.fx.tick(); + } +} + +// Animations created synchronously will run synchronously +function createFxNow() { + window.setTimeout( function() { + fxNow = undefined; + } ); + return ( fxNow = Date.now() ); +} + +// Generate parameters to create a standard animation +function genFx( type, includeWidth ) { + var which, + i = 0, + attrs = { height: type }; + + // If we include width, step value is 1 to do all cssExpand values, + // otherwise step value is 2 to skip over Left and Right + includeWidth = includeWidth ? 1 : 0; + for ( ; i < 4; i += 2 - includeWidth ) { + which = cssExpand[ i ]; + attrs[ "margin" + which ] = attrs[ "padding" + which ] = type; + } + + if ( includeWidth ) { + attrs.opacity = attrs.width = type; + } + + return attrs; +} + +function createTween( value, prop, animation ) { + var tween, + collection = ( Animation.tweeners[ prop ] || [] ).concat( Animation.tweeners[ "*" ] ), + index = 0, + length = collection.length; + for ( ; index < length; index++ ) { + if ( ( tween = collection[ index ].call( animation, prop, value ) ) ) { + + // We're done with this property + return tween; + } + } +} + +function defaultPrefilter( elem, props, opts ) { + var prop, value, toggle, hooks, oldfire, propTween, restoreDisplay, display, + isBox = "width" in props || "height" in props, + anim = this, + orig = {}, + style = elem.style, + hidden = elem.nodeType && isHiddenWithinTree( elem ), + dataShow = dataPriv.get( elem, "fxshow" ); + + // Queue-skipping animations hijack the fx hooks + if ( !opts.queue ) { + hooks = jQuery._queueHooks( elem, "fx" ); + if ( hooks.unqueued == null ) { + hooks.unqueued = 0; + oldfire = hooks.empty.fire; + hooks.empty.fire = function() { + if ( !hooks.unqueued ) { + oldfire(); + } + }; + } + hooks.unqueued++; + + anim.always( function() { + + // Ensure the complete handler is called before this completes + anim.always( function() { + hooks.unqueued--; + if ( !jQuery.queue( elem, "fx" ).length ) { + hooks.empty.fire(); + } + } ); + } ); + } + + // Detect show/hide animations + for ( prop in props ) { + value = props[ prop ]; + if ( rfxtypes.test( value ) ) { + delete props[ prop ]; + toggle = toggle || value === "toggle"; + if ( value === ( hidden ? "hide" : "show" ) ) { + + // Pretend to be hidden if this is a "show" and + // there is still data from a stopped show/hide + if ( value === "show" && dataShow && dataShow[ prop ] !== undefined ) { + hidden = true; + + // Ignore all other no-op show/hide data + } else { + continue; + } + } + orig[ prop ] = dataShow && dataShow[ prop ] || jQuery.style( elem, prop ); + } + } + + // Bail out if this is a no-op like .hide().hide() + propTween = !jQuery.isEmptyObject( props ); + if ( !propTween && jQuery.isEmptyObject( orig ) ) { + return; + } + + // Restrict "overflow" and "display" styles during box animations + if ( isBox && elem.nodeType === 1 ) { + + // Support: IE <=9 - 11, Edge 12 - 15 + // Record all 3 overflow attributes because IE does not infer the shorthand + // from identically-valued overflowX and overflowY and Edge just mirrors + // the overflowX value there. + opts.overflow = [ style.overflow, style.overflowX, style.overflowY ]; + + // Identify a display type, preferring old show/hide data over the CSS cascade + restoreDisplay = dataShow && dataShow.display; + if ( restoreDisplay == null ) { + restoreDisplay = dataPriv.get( elem, "display" ); + } + display = jQuery.css( elem, "display" ); + if ( display === "none" ) { + if ( restoreDisplay ) { + display = restoreDisplay; + } else { + + // Get nonempty value(s) by temporarily forcing visibility + showHide( [ elem ], true ); + restoreDisplay = elem.style.display || restoreDisplay; + display = jQuery.css( elem, "display" ); + showHide( [ elem ] ); + } + } + + // Animate inline elements as inline-block + if ( display === "inline" || display === "inline-block" && restoreDisplay != null ) { + if ( jQuery.css( elem, "float" ) === "none" ) { + + // Restore the original display value at the end of pure show/hide animations + if ( !propTween ) { + anim.done( function() { + style.display = restoreDisplay; + } ); + if ( restoreDisplay == null ) { + display = style.display; + restoreDisplay = display === "none" ? "" : display; + } + } + style.display = "inline-block"; + } + } + } + + if ( opts.overflow ) { + style.overflow = "hidden"; + anim.always( function() { + style.overflow = opts.overflow[ 0 ]; + style.overflowX = opts.overflow[ 1 ]; + style.overflowY = opts.overflow[ 2 ]; + } ); + } + + // Implement show/hide animations + propTween = false; + for ( prop in orig ) { + + // General show/hide setup for this element animation + if ( !propTween ) { + if ( dataShow ) { + if ( "hidden" in dataShow ) { + hidden = dataShow.hidden; + } + } else { + dataShow = dataPriv.access( elem, "fxshow", { display: restoreDisplay } ); + } + + // Store hidden/visible for toggle so `.stop().toggle()` "reverses" + if ( toggle ) { + dataShow.hidden = !hidden; + } + + // Show elements before animating them + if ( hidden ) { + showHide( [ elem ], true ); + } + + /* eslint-disable no-loop-func */ + + anim.done( function() { + + /* eslint-enable no-loop-func */ + + // The final step of a "hide" animation is actually hiding the element + if ( !hidden ) { + showHide( [ elem ] ); + } + dataPriv.remove( elem, "fxshow" ); + for ( prop in orig ) { + jQuery.style( elem, prop, orig[ prop ] ); + } + } ); + } + + // Per-property setup + propTween = createTween( hidden ? dataShow[ prop ] : 0, prop, anim ); + if ( !( prop in dataShow ) ) { + dataShow[ prop ] = propTween.start; + if ( hidden ) { + propTween.end = propTween.start; + propTween.start = 0; + } + } + } +} + +function propFilter( props, specialEasing ) { + var index, name, easing, value, hooks; + + // camelCase, specialEasing and expand cssHook pass + for ( index in props ) { + name = camelCase( index ); + easing = specialEasing[ name ]; + value = props[ index ]; + if ( Array.isArray( value ) ) { + easing = value[ 1 ]; + value = props[ index ] = value[ 0 ]; + } + + if ( index !== name ) { + props[ name ] = value; + delete props[ index ]; + } + + hooks = jQuery.cssHooks[ name ]; + if ( hooks && "expand" in hooks ) { + value = hooks.expand( value ); + delete props[ name ]; + + // Not quite $.extend, this won't overwrite existing keys. + // Reusing 'index' because we have the correct "name" + for ( index in value ) { + if ( !( index in props ) ) { + props[ index ] = value[ index ]; + specialEasing[ index ] = easing; + } + } + } else { + specialEasing[ name ] = easing; + } + } +} + +function Animation( elem, properties, options ) { + var result, + stopped, + index = 0, + length = Animation.prefilters.length, + deferred = jQuery.Deferred().always( function() { + + // Don't match elem in the :animated selector + delete tick.elem; + } ), + tick = function() { + if ( stopped ) { + return false; + } + var currentTime = fxNow || createFxNow(), + remaining = Math.max( 0, animation.startTime + animation.duration - currentTime ), + + // Support: Android 2.3 only + // Archaic crash bug won't allow us to use `1 - ( 0.5 || 0 )` (#12497) + temp = remaining / animation.duration || 0, + percent = 1 - temp, + index = 0, + length = animation.tweens.length; + + for ( ; index < length; index++ ) { + animation.tweens[ index ].run( percent ); + } + + deferred.notifyWith( elem, [ animation, percent, remaining ] ); + + // If there's more to do, yield + if ( percent < 1 && length ) { + return remaining; + } + + // If this was an empty animation, synthesize a final progress notification + if ( !length ) { + deferred.notifyWith( elem, [ animation, 1, 0 ] ); + } + + // Resolve the animation and report its conclusion + deferred.resolveWith( elem, [ animation ] ); + return false; + }, + animation = deferred.promise( { + elem: elem, + props: jQuery.extend( {}, properties ), + opts: jQuery.extend( true, { + specialEasing: {}, + easing: jQuery.easing._default + }, options ), + originalProperties: properties, + originalOptions: options, + startTime: fxNow || createFxNow(), + duration: options.duration, + tweens: [], + createTween: function( prop, end ) { + var tween = jQuery.Tween( elem, animation.opts, prop, end, + animation.opts.specialEasing[ prop ] || animation.opts.easing ); + animation.tweens.push( tween ); + return tween; + }, + stop: function( gotoEnd ) { + var index = 0, + + // If we are going to the end, we want to run all the tweens + // otherwise we skip this part + length = gotoEnd ? animation.tweens.length : 0; + if ( stopped ) { + return this; + } + stopped = true; + for ( ; index < length; index++ ) { + animation.tweens[ index ].run( 1 ); + } + + // Resolve when we played the last frame; otherwise, reject + if ( gotoEnd ) { + deferred.notifyWith( elem, [ animation, 1, 0 ] ); + deferred.resolveWith( elem, [ animation, gotoEnd ] ); + } else { + deferred.rejectWith( elem, [ animation, gotoEnd ] ); + } + return this; + } + } ), + props = animation.props; + + propFilter( props, animation.opts.specialEasing ); + + for ( ; index < length; index++ ) { + result = Animation.prefilters[ index ].call( animation, elem, props, animation.opts ); + if ( result ) { + if ( isFunction( result.stop ) ) { + jQuery._queueHooks( animation.elem, animation.opts.queue ).stop = + result.stop.bind( result ); + } + return result; + } + } + + jQuery.map( props, createTween, animation ); + + if ( isFunction( animation.opts.start ) ) { + animation.opts.start.call( elem, animation ); + } + + // Attach callbacks from options + animation + .progress( animation.opts.progress ) + .done( animation.opts.done, animation.opts.complete ) + .fail( animation.opts.fail ) + .always( animation.opts.always ); + + jQuery.fx.timer( + jQuery.extend( tick, { + elem: elem, + anim: animation, + queue: animation.opts.queue + } ) + ); + + return animation; +} + +jQuery.Animation = jQuery.extend( Animation, { + + tweeners: { + "*": [ function( prop, value ) { + var tween = this.createTween( prop, value ); + adjustCSS( tween.elem, prop, rcssNum.exec( value ), tween ); + return tween; + } ] + }, + + tweener: function( props, callback ) { + if ( isFunction( props ) ) { + callback = props; + props = [ "*" ]; + } else { + props = props.match( rnothtmlwhite ); + } + + var prop, + index = 0, + length = props.length; + + for ( ; index < length; index++ ) { + prop = props[ index ]; + Animation.tweeners[ prop ] = Animation.tweeners[ prop ] || []; + Animation.tweeners[ prop ].unshift( callback ); + } + }, + + prefilters: [ defaultPrefilter ], + + prefilter: function( callback, prepend ) { + if ( prepend ) { + Animation.prefilters.unshift( callback ); + } else { + Animation.prefilters.push( callback ); + } + } +} ); + +jQuery.speed = function( speed, easing, fn ) { + var opt = speed && typeof speed === "object" ? jQuery.extend( {}, speed ) : { + complete: fn || !fn && easing || + isFunction( speed ) && speed, + duration: speed, + easing: fn && easing || easing && !isFunction( easing ) && easing + }; + + // Go to the end state if fx are off + if ( jQuery.fx.off ) { + opt.duration = 0; + + } else { + if ( typeof opt.duration !== "number" ) { + if ( opt.duration in jQuery.fx.speeds ) { + opt.duration = jQuery.fx.speeds[ opt.duration ]; + + } else { + opt.duration = jQuery.fx.speeds._default; + } + } + } + + // Normalize opt.queue - true/undefined/null -> "fx" + if ( opt.queue == null || opt.queue === true ) { + opt.queue = "fx"; + } + + // Queueing + opt.old = opt.complete; + + opt.complete = function() { + if ( isFunction( opt.old ) ) { + opt.old.call( this ); + } + + if ( opt.queue ) { + jQuery.dequeue( this, opt.queue ); + } + }; + + return opt; +}; + +jQuery.fn.extend( { + fadeTo: function( speed, to, easing, callback ) { + + // Show any hidden elements after setting opacity to 0 + return this.filter( isHiddenWithinTree ).css( "opacity", 0 ).show() + + // Animate to the value specified + .end().animate( { opacity: to }, speed, easing, callback ); + }, + animate: function( prop, speed, easing, callback ) { + var empty = jQuery.isEmptyObject( prop ), + optall = jQuery.speed( speed, easing, callback ), + doAnimation = function() { + + // Operate on a copy of prop so per-property easing won't be lost + var anim = Animation( this, jQuery.extend( {}, prop ), optall ); + + // Empty animations, or finishing resolves immediately + if ( empty || dataPriv.get( this, "finish" ) ) { + anim.stop( true ); + } + }; + + doAnimation.finish = doAnimation; + + return empty || optall.queue === false ? + this.each( doAnimation ) : + this.queue( optall.queue, doAnimation ); + }, + stop: function( type, clearQueue, gotoEnd ) { + var stopQueue = function( hooks ) { + var stop = hooks.stop; + delete hooks.stop; + stop( gotoEnd ); + }; + + if ( typeof type !== "string" ) { + gotoEnd = clearQueue; + clearQueue = type; + type = undefined; + } + if ( clearQueue ) { + this.queue( type || "fx", [] ); + } + + return this.each( function() { + var dequeue = true, + index = type != null && type + "queueHooks", + timers = jQuery.timers, + data = dataPriv.get( this ); + + if ( index ) { + if ( data[ index ] && data[ index ].stop ) { + stopQueue( data[ index ] ); + } + } else { + for ( index in data ) { + if ( data[ index ] && data[ index ].stop && rrun.test( index ) ) { + stopQueue( data[ index ] ); + } + } + } + + for ( index = timers.length; index--; ) { + if ( timers[ index ].elem === this && + ( type == null || timers[ index ].queue === type ) ) { + + timers[ index ].anim.stop( gotoEnd ); + dequeue = false; + timers.splice( index, 1 ); + } + } + + // Start the next in the queue if the last step wasn't forced. + // Timers currently will call their complete callbacks, which + // will dequeue but only if they were gotoEnd. + if ( dequeue || !gotoEnd ) { + jQuery.dequeue( this, type ); + } + } ); + }, + finish: function( type ) { + if ( type !== false ) { + type = type || "fx"; + } + return this.each( function() { + var index, + data = dataPriv.get( this ), + queue = data[ type + "queue" ], + hooks = data[ type + "queueHooks" ], + timers = jQuery.timers, + length = queue ? queue.length : 0; + + // Enable finishing flag on private data + data.finish = true; + + // Empty the queue first + jQuery.queue( this, type, [] ); + + if ( hooks && hooks.stop ) { + hooks.stop.call( this, true ); + } + + // Look for any active animations, and finish them + for ( index = timers.length; index--; ) { + if ( timers[ index ].elem === this && timers[ index ].queue === type ) { + timers[ index ].anim.stop( true ); + timers.splice( index, 1 ); + } + } + + // Look for any animations in the old queue and finish them + for ( index = 0; index < length; index++ ) { + if ( queue[ index ] && queue[ index ].finish ) { + queue[ index ].finish.call( this ); + } + } + + // Turn off finishing flag + delete data.finish; + } ); + } +} ); + +jQuery.each( [ "toggle", "show", "hide" ], function( _i, name ) { + var cssFn = jQuery.fn[ name ]; + jQuery.fn[ name ] = function( speed, easing, callback ) { + return speed == null || typeof speed === "boolean" ? + cssFn.apply( this, arguments ) : + this.animate( genFx( name, true ), speed, easing, callback ); + }; +} ); + +// Generate shortcuts for custom animations +jQuery.each( { + slideDown: genFx( "show" ), + slideUp: genFx( "hide" ), + slideToggle: genFx( "toggle" ), + fadeIn: { opacity: "show" }, + fadeOut: { opacity: "hide" }, + fadeToggle: { opacity: "toggle" } +}, function( name, props ) { + jQuery.fn[ name ] = function( speed, easing, callback ) { + return this.animate( props, speed, easing, callback ); + }; +} ); + +jQuery.timers = []; +jQuery.fx.tick = function() { + var timer, + i = 0, + timers = jQuery.timers; + + fxNow = Date.now(); + + for ( ; i < timers.length; i++ ) { + timer = timers[ i ]; + + // Run the timer and safely remove it when done (allowing for external removal) + if ( !timer() && timers[ i ] === timer ) { + timers.splice( i--, 1 ); + } + } + + if ( !timers.length ) { + jQuery.fx.stop(); + } + fxNow = undefined; +}; + +jQuery.fx.timer = function( timer ) { + jQuery.timers.push( timer ); + jQuery.fx.start(); +}; + +jQuery.fx.interval = 13; +jQuery.fx.start = function() { + if ( inProgress ) { + return; + } + + inProgress = true; + schedule(); +}; + +jQuery.fx.stop = function() { + inProgress = null; +}; + +jQuery.fx.speeds = { + slow: 600, + fast: 200, + + // Default speed + _default: 400 +}; + + +// Based off of the plugin by Clint Helfers, with permission. +// https://web.archive.org/web/20100324014747/http://blindsignals.com/index.php/2009/07/jquery-delay/ +jQuery.fn.delay = function( time, type ) { + time = jQuery.fx ? jQuery.fx.speeds[ time ] || time : time; + type = type || "fx"; + + return this.queue( type, function( next, hooks ) { + var timeout = window.setTimeout( next, time ); + hooks.stop = function() { + window.clearTimeout( timeout ); + }; + } ); +}; + + +( function() { + var input = document.createElement( "input" ), + select = document.createElement( "select" ), + opt = select.appendChild( document.createElement( "option" ) ); + + input.type = "checkbox"; + + // Support: Android <=4.3 only + // Default value for a checkbox should be "on" + support.checkOn = input.value !== ""; + + // Support: IE <=11 only + // Must access selectedIndex to make default options select + support.optSelected = opt.selected; + + // Support: IE <=11 only + // An input loses its value after becoming a radio + input = document.createElement( "input" ); + input.value = "t"; + input.type = "radio"; + support.radioValue = input.value === "t"; +} )(); + + +var boolHook, + attrHandle = jQuery.expr.attrHandle; + +jQuery.fn.extend( { + attr: function( name, value ) { + return access( this, jQuery.attr, name, value, arguments.length > 1 ); + }, + + removeAttr: function( name ) { + return this.each( function() { + jQuery.removeAttr( this, name ); + } ); + } +} ); + +jQuery.extend( { + attr: function( elem, name, value ) { + var ret, hooks, + nType = elem.nodeType; + + // Don't get/set attributes on text, comment and attribute nodes + if ( nType === 3 || nType === 8 || nType === 2 ) { + return; + } + + // Fallback to prop when attributes are not supported + if ( typeof elem.getAttribute === "undefined" ) { + return jQuery.prop( elem, name, value ); + } + + // Attribute hooks are determined by the lowercase version + // Grab necessary hook if one is defined + if ( nType !== 1 || !jQuery.isXMLDoc( elem ) ) { + hooks = jQuery.attrHooks[ name.toLowerCase() ] || + ( jQuery.expr.match.bool.test( name ) ? boolHook : undefined ); + } + + if ( value !== undefined ) { + if ( value === null ) { + jQuery.removeAttr( elem, name ); + return; + } + + if ( hooks && "set" in hooks && + ( ret = hooks.set( elem, value, name ) ) !== undefined ) { + return ret; + } + + elem.setAttribute( name, value + "" ); + return value; + } + + if ( hooks && "get" in hooks && ( ret = hooks.get( elem, name ) ) !== null ) { + return ret; + } + + ret = jQuery.find.attr( elem, name ); + + // Non-existent attributes return null, we normalize to undefined + return ret == null ? undefined : ret; + }, + + attrHooks: { + type: { + set: function( elem, value ) { + if ( !support.radioValue && value === "radio" && + nodeName( elem, "input" ) ) { + var val = elem.value; + elem.setAttribute( "type", value ); + if ( val ) { + elem.value = val; + } + return value; + } + } + } + }, + + removeAttr: function( elem, value ) { + var name, + i = 0, + + // Attribute names can contain non-HTML whitespace characters + // https://html.spec.whatwg.org/multipage/syntax.html#attributes-2 + attrNames = value && value.match( rnothtmlwhite ); + + if ( attrNames && elem.nodeType === 1 ) { + while ( ( name = attrNames[ i++ ] ) ) { + elem.removeAttribute( name ); + } + } + } +} ); + +// Hooks for boolean attributes +boolHook = { + set: function( elem, value, name ) { + if ( value === false ) { + + // Remove boolean attributes when set to false + jQuery.removeAttr( elem, name ); + } else { + elem.setAttribute( name, name ); + } + return name; + } +}; + +jQuery.each( jQuery.expr.match.bool.source.match( /\w+/g ), function( _i, name ) { + var getter = attrHandle[ name ] || jQuery.find.attr; + + attrHandle[ name ] = function( elem, name, isXML ) { + var ret, handle, + lowercaseName = name.toLowerCase(); + + if ( !isXML ) { + + // Avoid an infinite loop by temporarily removing this function from the getter + handle = attrHandle[ lowercaseName ]; + attrHandle[ lowercaseName ] = ret; + ret = getter( elem, name, isXML ) != null ? + lowercaseName : + null; + attrHandle[ lowercaseName ] = handle; + } + return ret; + }; +} ); + + + + +var rfocusable = /^(?:input|select|textarea|button)$/i, + rclickable = /^(?:a|area)$/i; + +jQuery.fn.extend( { + prop: function( name, value ) { + return access( this, jQuery.prop, name, value, arguments.length > 1 ); + }, + + removeProp: function( name ) { + return this.each( function() { + delete this[ jQuery.propFix[ name ] || name ]; + } ); + } +} ); + +jQuery.extend( { + prop: function( elem, name, value ) { + var ret, hooks, + nType = elem.nodeType; + + // Don't get/set properties on text, comment and attribute nodes + if ( nType === 3 || nType === 8 || nType === 2 ) { + return; + } + + if ( nType !== 1 || !jQuery.isXMLDoc( elem ) ) { + + // Fix name and attach hooks + name = jQuery.propFix[ name ] || name; + hooks = jQuery.propHooks[ name ]; + } + + if ( value !== undefined ) { + if ( hooks && "set" in hooks && + ( ret = hooks.set( elem, value, name ) ) !== undefined ) { + return ret; + } + + return ( elem[ name ] = value ); + } + + if ( hooks && "get" in hooks && ( ret = hooks.get( elem, name ) ) !== null ) { + return ret; + } + + return elem[ name ]; + }, + + propHooks: { + tabIndex: { + get: function( elem ) { + + // Support: IE <=9 - 11 only + // elem.tabIndex doesn't always return the + // correct value when it hasn't been explicitly set + // https://web.archive.org/web/20141116233347/http://fluidproject.org/blog/2008/01/09/getting-setting-and-removing-tabindex-values-with-javascript/ + // Use proper attribute retrieval(#12072) + var tabindex = jQuery.find.attr( elem, "tabindex" ); + + if ( tabindex ) { + return parseInt( tabindex, 10 ); + } + + if ( + rfocusable.test( elem.nodeName ) || + rclickable.test( elem.nodeName ) && + elem.href + ) { + return 0; + } + + return -1; + } + } + }, + + propFix: { + "for": "htmlFor", + "class": "className" + } +} ); + +// Support: IE <=11 only +// Accessing the selectedIndex property +// forces the browser to respect setting selected +// on the option +// The getter ensures a default option is selected +// when in an optgroup +// eslint rule "no-unused-expressions" is disabled for this code +// since it considers such accessions noop +if ( !support.optSelected ) { + jQuery.propHooks.selected = { + get: function( elem ) { + + /* eslint no-unused-expressions: "off" */ + + var parent = elem.parentNode; + if ( parent && parent.parentNode ) { + parent.parentNode.selectedIndex; + } + return null; + }, + set: function( elem ) { + + /* eslint no-unused-expressions: "off" */ + + var parent = elem.parentNode; + if ( parent ) { + parent.selectedIndex; + + if ( parent.parentNode ) { + parent.parentNode.selectedIndex; + } + } + } + }; +} + +jQuery.each( [ + "tabIndex", + "readOnly", + "maxLength", + "cellSpacing", + "cellPadding", + "rowSpan", + "colSpan", + "useMap", + "frameBorder", + "contentEditable" +], function() { + jQuery.propFix[ this.toLowerCase() ] = this; +} ); + + + + + // Strip and collapse whitespace according to HTML spec + // https://infra.spec.whatwg.org/#strip-and-collapse-ascii-whitespace + function stripAndCollapse( value ) { + var tokens = value.match( rnothtmlwhite ) || []; + return tokens.join( " " ); + } + + +function getClass( elem ) { + return elem.getAttribute && elem.getAttribute( "class" ) || ""; +} + +function classesToArray( value ) { + if ( Array.isArray( value ) ) { + return value; + } + if ( typeof value === "string" ) { + return value.match( rnothtmlwhite ) || []; + } + return []; +} + +jQuery.fn.extend( { + addClass: function( value ) { + var classes, elem, cur, curValue, clazz, j, finalValue, + i = 0; + + if ( isFunction( value ) ) { + return this.each( function( j ) { + jQuery( this ).addClass( value.call( this, j, getClass( this ) ) ); + } ); + } + + classes = classesToArray( value ); + + if ( classes.length ) { + while ( ( elem = this[ i++ ] ) ) { + curValue = getClass( elem ); + cur = elem.nodeType === 1 && ( " " + stripAndCollapse( curValue ) + " " ); + + if ( cur ) { + j = 0; + while ( ( clazz = classes[ j++ ] ) ) { + if ( cur.indexOf( " " + clazz + " " ) < 0 ) { + cur += clazz + " "; + } + } + + // Only assign if different to avoid unneeded rendering. + finalValue = stripAndCollapse( cur ); + if ( curValue !== finalValue ) { + elem.setAttribute( "class", finalValue ); + } + } + } + } + + return this; + }, + + removeClass: function( value ) { + var classes, elem, cur, curValue, clazz, j, finalValue, + i = 0; + + if ( isFunction( value ) ) { + return this.each( function( j ) { + jQuery( this ).removeClass( value.call( this, j, getClass( this ) ) ); + } ); + } + + if ( !arguments.length ) { + return this.attr( "class", "" ); + } + + classes = classesToArray( value ); + + if ( classes.length ) { + while ( ( elem = this[ i++ ] ) ) { + curValue = getClass( elem ); + + // This expression is here for better compressibility (see addClass) + cur = elem.nodeType === 1 && ( " " + stripAndCollapse( curValue ) + " " ); + + if ( cur ) { + j = 0; + while ( ( clazz = classes[ j++ ] ) ) { + + // Remove *all* instances + while ( cur.indexOf( " " + clazz + " " ) > -1 ) { + cur = cur.replace( " " + clazz + " ", " " ); + } + } + + // Only assign if different to avoid unneeded rendering. + finalValue = stripAndCollapse( cur ); + if ( curValue !== finalValue ) { + elem.setAttribute( "class", finalValue ); + } + } + } + } + + return this; + }, + + toggleClass: function( value, stateVal ) { + var type = typeof value, + isValidValue = type === "string" || Array.isArray( value ); + + if ( typeof stateVal === "boolean" && isValidValue ) { + return stateVal ? this.addClass( value ) : this.removeClass( value ); + } + + if ( isFunction( value ) ) { + return this.each( function( i ) { + jQuery( this ).toggleClass( + value.call( this, i, getClass( this ), stateVal ), + stateVal + ); + } ); + } + + return this.each( function() { + var className, i, self, classNames; + + if ( isValidValue ) { + + // Toggle individual class names + i = 0; + self = jQuery( this ); + classNames = classesToArray( value ); + + while ( ( className = classNames[ i++ ] ) ) { + + // Check each className given, space separated list + if ( self.hasClass( className ) ) { + self.removeClass( className ); + } else { + self.addClass( className ); + } + } + + // Toggle whole class name + } else if ( value === undefined || type === "boolean" ) { + className = getClass( this ); + if ( className ) { + + // Store className if set + dataPriv.set( this, "__className__", className ); + } + + // If the element has a class name or if we're passed `false`, + // then remove the whole classname (if there was one, the above saved it). + // Otherwise bring back whatever was previously saved (if anything), + // falling back to the empty string if nothing was stored. + if ( this.setAttribute ) { + this.setAttribute( "class", + className || value === false ? + "" : + dataPriv.get( this, "__className__" ) || "" + ); + } + } + } ); + }, + + hasClass: function( selector ) { + var className, elem, + i = 0; + + className = " " + selector + " "; + while ( ( elem = this[ i++ ] ) ) { + if ( elem.nodeType === 1 && + ( " " + stripAndCollapse( getClass( elem ) ) + " " ).indexOf( className ) > -1 ) { + return true; + } + } + + return false; + } +} ); + + + + +var rreturn = /\r/g; + +jQuery.fn.extend( { + val: function( value ) { + var hooks, ret, valueIsFunction, + elem = this[ 0 ]; + + if ( !arguments.length ) { + if ( elem ) { + hooks = jQuery.valHooks[ elem.type ] || + jQuery.valHooks[ elem.nodeName.toLowerCase() ]; + + if ( hooks && + "get" in hooks && + ( ret = hooks.get( elem, "value" ) ) !== undefined + ) { + return ret; + } + + ret = elem.value; + + // Handle most common string cases + if ( typeof ret === "string" ) { + return ret.replace( rreturn, "" ); + } + + // Handle cases where value is null/undef or number + return ret == null ? "" : ret; + } + + return; + } + + valueIsFunction = isFunction( value ); + + return this.each( function( i ) { + var val; + + if ( this.nodeType !== 1 ) { + return; + } + + if ( valueIsFunction ) { + val = value.call( this, i, jQuery( this ).val() ); + } else { + val = value; + } + + // Treat null/undefined as ""; convert numbers to string + if ( val == null ) { + val = ""; + + } else if ( typeof val === "number" ) { + val += ""; + + } else if ( Array.isArray( val ) ) { + val = jQuery.map( val, function( value ) { + return value == null ? "" : value + ""; + } ); + } + + hooks = jQuery.valHooks[ this.type ] || jQuery.valHooks[ this.nodeName.toLowerCase() ]; + + // If set returns undefined, fall back to normal setting + if ( !hooks || !( "set" in hooks ) || hooks.set( this, val, "value" ) === undefined ) { + this.value = val; + } + } ); + } +} ); + +jQuery.extend( { + valHooks: { + option: { + get: function( elem ) { + + var val = jQuery.find.attr( elem, "value" ); + return val != null ? + val : + + // Support: IE <=10 - 11 only + // option.text throws exceptions (#14686, #14858) + // Strip and collapse whitespace + // https://html.spec.whatwg.org/#strip-and-collapse-whitespace + stripAndCollapse( jQuery.text( elem ) ); + } + }, + select: { + get: function( elem ) { + var value, option, i, + options = elem.options, + index = elem.selectedIndex, + one = elem.type === "select-one", + values = one ? null : [], + max = one ? index + 1 : options.length; + + if ( index < 0 ) { + i = max; + + } else { + i = one ? index : 0; + } + + // Loop through all the selected options + for ( ; i < max; i++ ) { + option = options[ i ]; + + // Support: IE <=9 only + // IE8-9 doesn't update selected after form reset (#2551) + if ( ( option.selected || i === index ) && + + // Don't return options that are disabled or in a disabled optgroup + !option.disabled && + ( !option.parentNode.disabled || + !nodeName( option.parentNode, "optgroup" ) ) ) { + + // Get the specific value for the option + value = jQuery( option ).val(); + + // We don't need an array for one selects + if ( one ) { + return value; + } + + // Multi-Selects return an array + values.push( value ); + } + } + + return values; + }, + + set: function( elem, value ) { + var optionSet, option, + options = elem.options, + values = jQuery.makeArray( value ), + i = options.length; + + while ( i-- ) { + option = options[ i ]; + + /* eslint-disable no-cond-assign */ + + if ( option.selected = + jQuery.inArray( jQuery.valHooks.option.get( option ), values ) > -1 + ) { + optionSet = true; + } + + /* eslint-enable no-cond-assign */ + } + + // Force browsers to behave consistently when non-matching value is set + if ( !optionSet ) { + elem.selectedIndex = -1; + } + return values; + } + } + } +} ); + +// Radios and checkboxes getter/setter +jQuery.each( [ "radio", "checkbox" ], function() { + jQuery.valHooks[ this ] = { + set: function( elem, value ) { + if ( Array.isArray( value ) ) { + return ( elem.checked = jQuery.inArray( jQuery( elem ).val(), value ) > -1 ); + } + } + }; + if ( !support.checkOn ) { + jQuery.valHooks[ this ].get = function( elem ) { + return elem.getAttribute( "value" ) === null ? "on" : elem.value; + }; + } +} ); + + + + +// Return jQuery for attributes-only inclusion + + +support.focusin = "onfocusin" in window; + + +var rfocusMorph = /^(?:focusinfocus|focusoutblur)$/, + stopPropagationCallback = function( e ) { + e.stopPropagation(); + }; + +jQuery.extend( jQuery.event, { + + trigger: function( event, data, elem, onlyHandlers ) { + + var i, cur, tmp, bubbleType, ontype, handle, special, lastElement, + eventPath = [ elem || document ], + type = hasOwn.call( event, "type" ) ? event.type : event, + namespaces = hasOwn.call( event, "namespace" ) ? event.namespace.split( "." ) : []; + + cur = lastElement = tmp = elem = elem || document; + + // Don't do events on text and comment nodes + if ( elem.nodeType === 3 || elem.nodeType === 8 ) { + return; + } + + // focus/blur morphs to focusin/out; ensure we're not firing them right now + if ( rfocusMorph.test( type + jQuery.event.triggered ) ) { + return; + } + + if ( type.indexOf( "." ) > -1 ) { + + // Namespaced trigger; create a regexp to match event type in handle() + namespaces = type.split( "." ); + type = namespaces.shift(); + namespaces.sort(); + } + ontype = type.indexOf( ":" ) < 0 && "on" + type; + + // Caller can pass in a jQuery.Event object, Object, or just an event type string + event = event[ jQuery.expando ] ? + event : + new jQuery.Event( type, typeof event === "object" && event ); + + // Trigger bitmask: & 1 for native handlers; & 2 for jQuery (always true) + event.isTrigger = onlyHandlers ? 2 : 3; + event.namespace = namespaces.join( "." ); + event.rnamespace = event.namespace ? + new RegExp( "(^|\\.)" + namespaces.join( "\\.(?:.*\\.|)" ) + "(\\.|$)" ) : + null; + + // Clean up the event in case it is being reused + event.result = undefined; + if ( !event.target ) { + event.target = elem; + } + + // Clone any incoming data and prepend the event, creating the handler arg list + data = data == null ? + [ event ] : + jQuery.makeArray( data, [ event ] ); + + // Allow special events to draw outside the lines + special = jQuery.event.special[ type ] || {}; + if ( !onlyHandlers && special.trigger && special.trigger.apply( elem, data ) === false ) { + return; + } + + // Determine event propagation path in advance, per W3C events spec (#9951) + // Bubble up to document, then to window; watch for a global ownerDocument var (#9724) + if ( !onlyHandlers && !special.noBubble && !isWindow( elem ) ) { + + bubbleType = special.delegateType || type; + if ( !rfocusMorph.test( bubbleType + type ) ) { + cur = cur.parentNode; + } + for ( ; cur; cur = cur.parentNode ) { + eventPath.push( cur ); + tmp = cur; + } + + // Only add window if we got to document (e.g., not plain obj or detached DOM) + if ( tmp === ( elem.ownerDocument || document ) ) { + eventPath.push( tmp.defaultView || tmp.parentWindow || window ); + } + } + + // Fire handlers on the event path + i = 0; + while ( ( cur = eventPath[ i++ ] ) && !event.isPropagationStopped() ) { + lastElement = cur; + event.type = i > 1 ? + bubbleType : + special.bindType || type; + + // jQuery handler + handle = ( dataPriv.get( cur, "events" ) || Object.create( null ) )[ event.type ] && + dataPriv.get( cur, "handle" ); + if ( handle ) { + handle.apply( cur, data ); + } + + // Native handler + handle = ontype && cur[ ontype ]; + if ( handle && handle.apply && acceptData( cur ) ) { + event.result = handle.apply( cur, data ); + if ( event.result === false ) { + event.preventDefault(); + } + } + } + event.type = type; + + // If nobody prevented the default action, do it now + if ( !onlyHandlers && !event.isDefaultPrevented() ) { + + if ( ( !special._default || + special._default.apply( eventPath.pop(), data ) === false ) && + acceptData( elem ) ) { + + // Call a native DOM method on the target with the same name as the event. + // Don't do default actions on window, that's where global variables be (#6170) + if ( ontype && isFunction( elem[ type ] ) && !isWindow( elem ) ) { + + // Don't re-trigger an onFOO event when we call its FOO() method + tmp = elem[ ontype ]; + + if ( tmp ) { + elem[ ontype ] = null; + } + + // Prevent re-triggering of the same event, since we already bubbled it above + jQuery.event.triggered = type; + + if ( event.isPropagationStopped() ) { + lastElement.addEventListener( type, stopPropagationCallback ); + } + + elem[ type ](); + + if ( event.isPropagationStopped() ) { + lastElement.removeEventListener( type, stopPropagationCallback ); + } + + jQuery.event.triggered = undefined; + + if ( tmp ) { + elem[ ontype ] = tmp; + } + } + } + } + + return event.result; + }, + + // Piggyback on a donor event to simulate a different one + // Used only for `focus(in | out)` events + simulate: function( type, elem, event ) { + var e = jQuery.extend( + new jQuery.Event(), + event, + { + type: type, + isSimulated: true + } + ); + + jQuery.event.trigger( e, null, elem ); + } + +} ); + +jQuery.fn.extend( { + + trigger: function( type, data ) { + return this.each( function() { + jQuery.event.trigger( type, data, this ); + } ); + }, + triggerHandler: function( type, data ) { + var elem = this[ 0 ]; + if ( elem ) { + return jQuery.event.trigger( type, data, elem, true ); + } + } +} ); + + +// Support: Firefox <=44 +// Firefox doesn't have focus(in | out) events +// Related ticket - https://bugzilla.mozilla.org/show_bug.cgi?id=687787 +// +// Support: Chrome <=48 - 49, Safari <=9.0 - 9.1 +// focus(in | out) events fire after focus & blur events, +// which is spec violation - http://www.w3.org/TR/DOM-Level-3-Events/#events-focusevent-event-order +// Related ticket - https://bugs.chromium.org/p/chromium/issues/detail?id=449857 +if ( !support.focusin ) { + jQuery.each( { focus: "focusin", blur: "focusout" }, function( orig, fix ) { + + // Attach a single capturing handler on the document while someone wants focusin/focusout + var handler = function( event ) { + jQuery.event.simulate( fix, event.target, jQuery.event.fix( event ) ); + }; + + jQuery.event.special[ fix ] = { + setup: function() { + + // Handle: regular nodes (via `this.ownerDocument`), window + // (via `this.document`) & document (via `this`). + var doc = this.ownerDocument || this.document || this, + attaches = dataPriv.access( doc, fix ); + + if ( !attaches ) { + doc.addEventListener( orig, handler, true ); + } + dataPriv.access( doc, fix, ( attaches || 0 ) + 1 ); + }, + teardown: function() { + var doc = this.ownerDocument || this.document || this, + attaches = dataPriv.access( doc, fix ) - 1; + + if ( !attaches ) { + doc.removeEventListener( orig, handler, true ); + dataPriv.remove( doc, fix ); + + } else { + dataPriv.access( doc, fix, attaches ); + } + } + }; + } ); +} +var location = window.location; + +var nonce = { guid: Date.now() }; + +var rquery = ( /\?/ ); + + + +// Cross-browser xml parsing +jQuery.parseXML = function( data ) { + var xml, parserErrorElem; + if ( !data || typeof data !== "string" ) { + return null; + } + + // Support: IE 9 - 11 only + // IE throws on parseFromString with invalid input. + try { + xml = ( new window.DOMParser() ).parseFromString( data, "text/xml" ); + } catch ( e ) {} + + parserErrorElem = xml && xml.getElementsByTagName( "parsererror" )[ 0 ]; + if ( !xml || parserErrorElem ) { + jQuery.error( "Invalid XML: " + ( + parserErrorElem ? + jQuery.map( parserErrorElem.childNodes, function( el ) { + return el.textContent; + } ).join( "\n" ) : + data + ) ); + } + return xml; +}; + + +var + rbracket = /\[\]$/, + rCRLF = /\r?\n/g, + rsubmitterTypes = /^(?:submit|button|image|reset|file)$/i, + rsubmittable = /^(?:input|select|textarea|keygen)/i; + +function buildParams( prefix, obj, traditional, add ) { + var name; + + if ( Array.isArray( obj ) ) { + + // Serialize array item. + jQuery.each( obj, function( i, v ) { + if ( traditional || rbracket.test( prefix ) ) { + + // Treat each array item as a scalar. + add( prefix, v ); + + } else { + + // Item is non-scalar (array or object), encode its numeric index. + buildParams( + prefix + "[" + ( typeof v === "object" && v != null ? i : "" ) + "]", + v, + traditional, + add + ); + } + } ); + + } else if ( !traditional && toType( obj ) === "object" ) { + + // Serialize object item. + for ( name in obj ) { + buildParams( prefix + "[" + name + "]", obj[ name ], traditional, add ); + } + + } else { + + // Serialize scalar item. + add( prefix, obj ); + } +} + +// Serialize an array of form elements or a set of +// key/values into a query string +jQuery.param = function( a, traditional ) { + var prefix, + s = [], + add = function( key, valueOrFunction ) { + + // If value is a function, invoke it and use its return value + var value = isFunction( valueOrFunction ) ? + valueOrFunction() : + valueOrFunction; + + s[ s.length ] = encodeURIComponent( key ) + "=" + + encodeURIComponent( value == null ? "" : value ); + }; + + if ( a == null ) { + return ""; + } + + // If an array was passed in, assume that it is an array of form elements. + if ( Array.isArray( a ) || ( a.jquery && !jQuery.isPlainObject( a ) ) ) { + + // Serialize the form elements + jQuery.each( a, function() { + add( this.name, this.value ); + } ); + + } else { + + // If traditional, encode the "old" way (the way 1.3.2 or older + // did it), otherwise encode params recursively. + for ( prefix in a ) { + buildParams( prefix, a[ prefix ], traditional, add ); + } + } + + // Return the resulting serialization + return s.join( "&" ); +}; + +jQuery.fn.extend( { + serialize: function() { + return jQuery.param( this.serializeArray() ); + }, + serializeArray: function() { + return this.map( function() { + + // Can add propHook for "elements" to filter or add form elements + var elements = jQuery.prop( this, "elements" ); + return elements ? jQuery.makeArray( elements ) : this; + } ).filter( function() { + var type = this.type; + + // Use .is( ":disabled" ) so that fieldset[disabled] works + return this.name && !jQuery( this ).is( ":disabled" ) && + rsubmittable.test( this.nodeName ) && !rsubmitterTypes.test( type ) && + ( this.checked || !rcheckableType.test( type ) ); + } ).map( function( _i, elem ) { + var val = jQuery( this ).val(); + + if ( val == null ) { + return null; + } + + if ( Array.isArray( val ) ) { + return jQuery.map( val, function( val ) { + return { name: elem.name, value: val.replace( rCRLF, "\r\n" ) }; + } ); + } + + return { name: elem.name, value: val.replace( rCRLF, "\r\n" ) }; + } ).get(); + } +} ); + + +var + r20 = /%20/g, + rhash = /#.*$/, + rantiCache = /([?&])_=[^&]*/, + rheaders = /^(.*?):[ \t]*([^\r\n]*)$/mg, + + // #7653, #8125, #8152: local protocol detection + rlocalProtocol = /^(?:about|app|app-storage|.+-extension|file|res|widget):$/, + rnoContent = /^(?:GET|HEAD)$/, + rprotocol = /^\/\//, + + /* Prefilters + * 1) They are useful to introduce custom dataTypes (see ajax/jsonp.js for an example) + * 2) These are called: + * - BEFORE asking for a transport + * - AFTER param serialization (s.data is a string if s.processData is true) + * 3) key is the dataType + * 4) the catchall symbol "*" can be used + * 5) execution will start with transport dataType and THEN continue down to "*" if needed + */ + prefilters = {}, + + /* Transports bindings + * 1) key is the dataType + * 2) the catchall symbol "*" can be used + * 3) selection will start with transport dataType and THEN go to "*" if needed + */ + transports = {}, + + // Avoid comment-prolog char sequence (#10098); must appease lint and evade compression + allTypes = "*/".concat( "*" ), + + // Anchor tag for parsing the document origin + originAnchor = document.createElement( "a" ); + +originAnchor.href = location.href; + +// Base "constructor" for jQuery.ajaxPrefilter and jQuery.ajaxTransport +function addToPrefiltersOrTransports( structure ) { + + // dataTypeExpression is optional and defaults to "*" + return function( dataTypeExpression, func ) { + + if ( typeof dataTypeExpression !== "string" ) { + func = dataTypeExpression; + dataTypeExpression = "*"; + } + + var dataType, + i = 0, + dataTypes = dataTypeExpression.toLowerCase().match( rnothtmlwhite ) || []; + + if ( isFunction( func ) ) { + + // For each dataType in the dataTypeExpression + while ( ( dataType = dataTypes[ i++ ] ) ) { + + // Prepend if requested + if ( dataType[ 0 ] === "+" ) { + dataType = dataType.slice( 1 ) || "*"; + ( structure[ dataType ] = structure[ dataType ] || [] ).unshift( func ); + + // Otherwise append + } else { + ( structure[ dataType ] = structure[ dataType ] || [] ).push( func ); + } + } + } + }; +} + +// Base inspection function for prefilters and transports +function inspectPrefiltersOrTransports( structure, options, originalOptions, jqXHR ) { + + var inspected = {}, + seekingTransport = ( structure === transports ); + + function inspect( dataType ) { + var selected; + inspected[ dataType ] = true; + jQuery.each( structure[ dataType ] || [], function( _, prefilterOrFactory ) { + var dataTypeOrTransport = prefilterOrFactory( options, originalOptions, jqXHR ); + if ( typeof dataTypeOrTransport === "string" && + !seekingTransport && !inspected[ dataTypeOrTransport ] ) { + + options.dataTypes.unshift( dataTypeOrTransport ); + inspect( dataTypeOrTransport ); + return false; + } else if ( seekingTransport ) { + return !( selected = dataTypeOrTransport ); + } + } ); + return selected; + } + + return inspect( options.dataTypes[ 0 ] ) || !inspected[ "*" ] && inspect( "*" ); +} + +// A special extend for ajax options +// that takes "flat" options (not to be deep extended) +// Fixes #9887 +function ajaxExtend( target, src ) { + var key, deep, + flatOptions = jQuery.ajaxSettings.flatOptions || {}; + + for ( key in src ) { + if ( src[ key ] !== undefined ) { + ( flatOptions[ key ] ? target : ( deep || ( deep = {} ) ) )[ key ] = src[ key ]; + } + } + if ( deep ) { + jQuery.extend( true, target, deep ); + } + + return target; +} + +/* Handles responses to an ajax request: + * - finds the right dataType (mediates between content-type and expected dataType) + * - returns the corresponding response + */ +function ajaxHandleResponses( s, jqXHR, responses ) { + + var ct, type, finalDataType, firstDataType, + contents = s.contents, + dataTypes = s.dataTypes; + + // Remove auto dataType and get content-type in the process + while ( dataTypes[ 0 ] === "*" ) { + dataTypes.shift(); + if ( ct === undefined ) { + ct = s.mimeType || jqXHR.getResponseHeader( "Content-Type" ); + } + } + + // Check if we're dealing with a known content-type + if ( ct ) { + for ( type in contents ) { + if ( contents[ type ] && contents[ type ].test( ct ) ) { + dataTypes.unshift( type ); + break; + } + } + } + + // Check to see if we have a response for the expected dataType + if ( dataTypes[ 0 ] in responses ) { + finalDataType = dataTypes[ 0 ]; + } else { + + // Try convertible dataTypes + for ( type in responses ) { + if ( !dataTypes[ 0 ] || s.converters[ type + " " + dataTypes[ 0 ] ] ) { + finalDataType = type; + break; + } + if ( !firstDataType ) { + firstDataType = type; + } + } + + // Or just use first one + finalDataType = finalDataType || firstDataType; + } + + // If we found a dataType + // We add the dataType to the list if needed + // and return the corresponding response + if ( finalDataType ) { + if ( finalDataType !== dataTypes[ 0 ] ) { + dataTypes.unshift( finalDataType ); + } + return responses[ finalDataType ]; + } +} + +/* Chain conversions given the request and the original response + * Also sets the responseXXX fields on the jqXHR instance + */ +function ajaxConvert( s, response, jqXHR, isSuccess ) { + var conv2, current, conv, tmp, prev, + converters = {}, + + // Work with a copy of dataTypes in case we need to modify it for conversion + dataTypes = s.dataTypes.slice(); + + // Create converters map with lowercased keys + if ( dataTypes[ 1 ] ) { + for ( conv in s.converters ) { + converters[ conv.toLowerCase() ] = s.converters[ conv ]; + } + } + + current = dataTypes.shift(); + + // Convert to each sequential dataType + while ( current ) { + + if ( s.responseFields[ current ] ) { + jqXHR[ s.responseFields[ current ] ] = response; + } + + // Apply the dataFilter if provided + if ( !prev && isSuccess && s.dataFilter ) { + response = s.dataFilter( response, s.dataType ); + } + + prev = current; + current = dataTypes.shift(); + + if ( current ) { + + // There's only work to do if current dataType is non-auto + if ( current === "*" ) { + + current = prev; + + // Convert response if prev dataType is non-auto and differs from current + } else if ( prev !== "*" && prev !== current ) { + + // Seek a direct converter + conv = converters[ prev + " " + current ] || converters[ "* " + current ]; + + // If none found, seek a pair + if ( !conv ) { + for ( conv2 in converters ) { + + // If conv2 outputs current + tmp = conv2.split( " " ); + if ( tmp[ 1 ] === current ) { + + // If prev can be converted to accepted input + conv = converters[ prev + " " + tmp[ 0 ] ] || + converters[ "* " + tmp[ 0 ] ]; + if ( conv ) { + + // Condense equivalence converters + if ( conv === true ) { + conv = converters[ conv2 ]; + + // Otherwise, insert the intermediate dataType + } else if ( converters[ conv2 ] !== true ) { + current = tmp[ 0 ]; + dataTypes.unshift( tmp[ 1 ] ); + } + break; + } + } + } + } + + // Apply converter (if not an equivalence) + if ( conv !== true ) { + + // Unless errors are allowed to bubble, catch and return them + if ( conv && s.throws ) { + response = conv( response ); + } else { + try { + response = conv( response ); + } catch ( e ) { + return { + state: "parsererror", + error: conv ? e : "No conversion from " + prev + " to " + current + }; + } + } + } + } + } + } + + return { state: "success", data: response }; +} + +jQuery.extend( { + + // Counter for holding the number of active queries + active: 0, + + // Last-Modified header cache for next request + lastModified: {}, + etag: {}, + + ajaxSettings: { + url: location.href, + type: "GET", + isLocal: rlocalProtocol.test( location.protocol ), + global: true, + processData: true, + async: true, + contentType: "application/x-www-form-urlencoded; charset=UTF-8", + + /* + timeout: 0, + data: null, + dataType: null, + username: null, + password: null, + cache: null, + throws: false, + traditional: false, + headers: {}, + */ + + accepts: { + "*": allTypes, + text: "text/plain", + html: "text/html", + xml: "application/xml, text/xml", + json: "application/json, text/javascript" + }, + + contents: { + xml: /\bxml\b/, + html: /\bhtml/, + json: /\bjson\b/ + }, + + responseFields: { + xml: "responseXML", + text: "responseText", + json: "responseJSON" + }, + + // Data converters + // Keys separate source (or catchall "*") and destination types with a single space + converters: { + + // Convert anything to text + "* text": String, + + // Text to html (true = no transformation) + "text html": true, + + // Evaluate text as a json expression + "text json": JSON.parse, + + // Parse text as xml + "text xml": jQuery.parseXML + }, + + // For options that shouldn't be deep extended: + // you can add your own custom options here if + // and when you create one that shouldn't be + // deep extended (see ajaxExtend) + flatOptions: { + url: true, + context: true + } + }, + + // Creates a full fledged settings object into target + // with both ajaxSettings and settings fields. + // If target is omitted, writes into ajaxSettings. + ajaxSetup: function( target, settings ) { + return settings ? + + // Building a settings object + ajaxExtend( ajaxExtend( target, jQuery.ajaxSettings ), settings ) : + + // Extending ajaxSettings + ajaxExtend( jQuery.ajaxSettings, target ); + }, + + ajaxPrefilter: addToPrefiltersOrTransports( prefilters ), + ajaxTransport: addToPrefiltersOrTransports( transports ), + + // Main method + ajax: function( url, options ) { + + // If url is an object, simulate pre-1.5 signature + if ( typeof url === "object" ) { + options = url; + url = undefined; + } + + // Force options to be an object + options = options || {}; + + var transport, + + // URL without anti-cache param + cacheURL, + + // Response headers + responseHeadersString, + responseHeaders, + + // timeout handle + timeoutTimer, + + // Url cleanup var + urlAnchor, + + // Request state (becomes false upon send and true upon completion) + completed, + + // To know if global events are to be dispatched + fireGlobals, + + // Loop variable + i, + + // uncached part of the url + uncached, + + // Create the final options object + s = jQuery.ajaxSetup( {}, options ), + + // Callbacks context + callbackContext = s.context || s, + + // Context for global events is callbackContext if it is a DOM node or jQuery collection + globalEventContext = s.context && + ( callbackContext.nodeType || callbackContext.jquery ) ? + jQuery( callbackContext ) : + jQuery.event, + + // Deferreds + deferred = jQuery.Deferred(), + completeDeferred = jQuery.Callbacks( "once memory" ), + + // Status-dependent callbacks + statusCode = s.statusCode || {}, + + // Headers (they are sent all at once) + requestHeaders = {}, + requestHeadersNames = {}, + + // Default abort message + strAbort = "canceled", + + // Fake xhr + jqXHR = { + readyState: 0, + + // Builds headers hashtable if needed + getResponseHeader: function( key ) { + var match; + if ( completed ) { + if ( !responseHeaders ) { + responseHeaders = {}; + while ( ( match = rheaders.exec( responseHeadersString ) ) ) { + responseHeaders[ match[ 1 ].toLowerCase() + " " ] = + ( responseHeaders[ match[ 1 ].toLowerCase() + " " ] || [] ) + .concat( match[ 2 ] ); + } + } + match = responseHeaders[ key.toLowerCase() + " " ]; + } + return match == null ? null : match.join( ", " ); + }, + + // Raw string + getAllResponseHeaders: function() { + return completed ? responseHeadersString : null; + }, + + // Caches the header + setRequestHeader: function( name, value ) { + if ( completed == null ) { + name = requestHeadersNames[ name.toLowerCase() ] = + requestHeadersNames[ name.toLowerCase() ] || name; + requestHeaders[ name ] = value; + } + return this; + }, + + // Overrides response content-type header + overrideMimeType: function( type ) { + if ( completed == null ) { + s.mimeType = type; + } + return this; + }, + + // Status-dependent callbacks + statusCode: function( map ) { + var code; + if ( map ) { + if ( completed ) { + + // Execute the appropriate callbacks + jqXHR.always( map[ jqXHR.status ] ); + } else { + + // Lazy-add the new callbacks in a way that preserves old ones + for ( code in map ) { + statusCode[ code ] = [ statusCode[ code ], map[ code ] ]; + } + } + } + return this; + }, + + // Cancel the request + abort: function( statusText ) { + var finalText = statusText || strAbort; + if ( transport ) { + transport.abort( finalText ); + } + done( 0, finalText ); + return this; + } + }; + + // Attach deferreds + deferred.promise( jqXHR ); + + // Add protocol if not provided (prefilters might expect it) + // Handle falsy url in the settings object (#10093: consistency with old signature) + // We also use the url parameter if available + s.url = ( ( url || s.url || location.href ) + "" ) + .replace( rprotocol, location.protocol + "//" ); + + // Alias method option to type as per ticket #12004 + s.type = options.method || options.type || s.method || s.type; + + // Extract dataTypes list + s.dataTypes = ( s.dataType || "*" ).toLowerCase().match( rnothtmlwhite ) || [ "" ]; + + // A cross-domain request is in order when the origin doesn't match the current origin. + if ( s.crossDomain == null ) { + urlAnchor = document.createElement( "a" ); + + // Support: IE <=8 - 11, Edge 12 - 15 + // IE throws exception on accessing the href property if url is malformed, + // e.g. http://example.com:80x/ + try { + urlAnchor.href = s.url; + + // Support: IE <=8 - 11 only + // Anchor's host property isn't correctly set when s.url is relative + urlAnchor.href = urlAnchor.href; + s.crossDomain = originAnchor.protocol + "//" + originAnchor.host !== + urlAnchor.protocol + "//" + urlAnchor.host; + } catch ( e ) { + + // If there is an error parsing the URL, assume it is crossDomain, + // it can be rejected by the transport if it is invalid + s.crossDomain = true; + } + } + + // Convert data if not already a string + if ( s.data && s.processData && typeof s.data !== "string" ) { + s.data = jQuery.param( s.data, s.traditional ); + } + + // Apply prefilters + inspectPrefiltersOrTransports( prefilters, s, options, jqXHR ); + + // If request was aborted inside a prefilter, stop there + if ( completed ) { + return jqXHR; + } + + // We can fire global events as of now if asked to + // Don't fire events if jQuery.event is undefined in an AMD-usage scenario (#15118) + fireGlobals = jQuery.event && s.global; + + // Watch for a new set of requests + if ( fireGlobals && jQuery.active++ === 0 ) { + jQuery.event.trigger( "ajaxStart" ); + } + + // Uppercase the type + s.type = s.type.toUpperCase(); + + // Determine if request has content + s.hasContent = !rnoContent.test( s.type ); + + // Save the URL in case we're toying with the If-Modified-Since + // and/or If-None-Match header later on + // Remove hash to simplify url manipulation + cacheURL = s.url.replace( rhash, "" ); + + // More options handling for requests with no content + if ( !s.hasContent ) { + + // Remember the hash so we can put it back + uncached = s.url.slice( cacheURL.length ); + + // If data is available and should be processed, append data to url + if ( s.data && ( s.processData || typeof s.data === "string" ) ) { + cacheURL += ( rquery.test( cacheURL ) ? "&" : "?" ) + s.data; + + // #9682: remove data so that it's not used in an eventual retry + delete s.data; + } + + // Add or update anti-cache param if needed + if ( s.cache === false ) { + cacheURL = cacheURL.replace( rantiCache, "$1" ); + uncached = ( rquery.test( cacheURL ) ? "&" : "?" ) + "_=" + ( nonce.guid++ ) + + uncached; + } + + // Put hash and anti-cache on the URL that will be requested (gh-1732) + s.url = cacheURL + uncached; + + // Change '%20' to '+' if this is encoded form body content (gh-2658) + } else if ( s.data && s.processData && + ( s.contentType || "" ).indexOf( "application/x-www-form-urlencoded" ) === 0 ) { + s.data = s.data.replace( r20, "+" ); + } + + // Set the If-Modified-Since and/or If-None-Match header, if in ifModified mode. + if ( s.ifModified ) { + if ( jQuery.lastModified[ cacheURL ] ) { + jqXHR.setRequestHeader( "If-Modified-Since", jQuery.lastModified[ cacheURL ] ); + } + if ( jQuery.etag[ cacheURL ] ) { + jqXHR.setRequestHeader( "If-None-Match", jQuery.etag[ cacheURL ] ); + } + } + + // Set the correct header, if data is being sent + if ( s.data && s.hasContent && s.contentType !== false || options.contentType ) { + jqXHR.setRequestHeader( "Content-Type", s.contentType ); + } + + // Set the Accepts header for the server, depending on the dataType + jqXHR.setRequestHeader( + "Accept", + s.dataTypes[ 0 ] && s.accepts[ s.dataTypes[ 0 ] ] ? + s.accepts[ s.dataTypes[ 0 ] ] + + ( s.dataTypes[ 0 ] !== "*" ? ", " + allTypes + "; q=0.01" : "" ) : + s.accepts[ "*" ] + ); + + // Check for headers option + for ( i in s.headers ) { + jqXHR.setRequestHeader( i, s.headers[ i ] ); + } + + // Allow custom headers/mimetypes and early abort + if ( s.beforeSend && + ( s.beforeSend.call( callbackContext, jqXHR, s ) === false || completed ) ) { + + // Abort if not done already and return + return jqXHR.abort(); + } + + // Aborting is no longer a cancellation + strAbort = "abort"; + + // Install callbacks on deferreds + completeDeferred.add( s.complete ); + jqXHR.done( s.success ); + jqXHR.fail( s.error ); + + // Get transport + transport = inspectPrefiltersOrTransports( transports, s, options, jqXHR ); + + // If no transport, we auto-abort + if ( !transport ) { + done( -1, "No Transport" ); + } else { + jqXHR.readyState = 1; + + // Send global event + if ( fireGlobals ) { + globalEventContext.trigger( "ajaxSend", [ jqXHR, s ] ); + } + + // If request was aborted inside ajaxSend, stop there + if ( completed ) { + return jqXHR; + } + + // Timeout + if ( s.async && s.timeout > 0 ) { + timeoutTimer = window.setTimeout( function() { + jqXHR.abort( "timeout" ); + }, s.timeout ); + } + + try { + completed = false; + transport.send( requestHeaders, done ); + } catch ( e ) { + + // Rethrow post-completion exceptions + if ( completed ) { + throw e; + } + + // Propagate others as results + done( -1, e ); + } + } + + // Callback for when everything is done + function done( status, nativeStatusText, responses, headers ) { + var isSuccess, success, error, response, modified, + statusText = nativeStatusText; + + // Ignore repeat invocations + if ( completed ) { + return; + } + + completed = true; + + // Clear timeout if it exists + if ( timeoutTimer ) { + window.clearTimeout( timeoutTimer ); + } + + // Dereference transport for early garbage collection + // (no matter how long the jqXHR object will be used) + transport = undefined; + + // Cache response headers + responseHeadersString = headers || ""; + + // Set readyState + jqXHR.readyState = status > 0 ? 4 : 0; + + // Determine if successful + isSuccess = status >= 200 && status < 300 || status === 304; + + // Get response data + if ( responses ) { + response = ajaxHandleResponses( s, jqXHR, responses ); + } + + // Use a noop converter for missing script but not if jsonp + if ( !isSuccess && + jQuery.inArray( "script", s.dataTypes ) > -1 && + jQuery.inArray( "json", s.dataTypes ) < 0 ) { + s.converters[ "text script" ] = function() {}; + } + + // Convert no matter what (that way responseXXX fields are always set) + response = ajaxConvert( s, response, jqXHR, isSuccess ); + + // If successful, handle type chaining + if ( isSuccess ) { + + // Set the If-Modified-Since and/or If-None-Match header, if in ifModified mode. + if ( s.ifModified ) { + modified = jqXHR.getResponseHeader( "Last-Modified" ); + if ( modified ) { + jQuery.lastModified[ cacheURL ] = modified; + } + modified = jqXHR.getResponseHeader( "etag" ); + if ( modified ) { + jQuery.etag[ cacheURL ] = modified; + } + } + + // if no content + if ( status === 204 || s.type === "HEAD" ) { + statusText = "nocontent"; + + // if not modified + } else if ( status === 304 ) { + statusText = "notmodified"; + + // If we have data, let's convert it + } else { + statusText = response.state; + success = response.data; + error = response.error; + isSuccess = !error; + } + } else { + + // Extract error from statusText and normalize for non-aborts + error = statusText; + if ( status || !statusText ) { + statusText = "error"; + if ( status < 0 ) { + status = 0; + } + } + } + + // Set data for the fake xhr object + jqXHR.status = status; + jqXHR.statusText = ( nativeStatusText || statusText ) + ""; + + // Success/Error + if ( isSuccess ) { + deferred.resolveWith( callbackContext, [ success, statusText, jqXHR ] ); + } else { + deferred.rejectWith( callbackContext, [ jqXHR, statusText, error ] ); + } + + // Status-dependent callbacks + jqXHR.statusCode( statusCode ); + statusCode = undefined; + + if ( fireGlobals ) { + globalEventContext.trigger( isSuccess ? "ajaxSuccess" : "ajaxError", + [ jqXHR, s, isSuccess ? success : error ] ); + } + + // Complete + completeDeferred.fireWith( callbackContext, [ jqXHR, statusText ] ); + + if ( fireGlobals ) { + globalEventContext.trigger( "ajaxComplete", [ jqXHR, s ] ); + + // Handle the global AJAX counter + if ( !( --jQuery.active ) ) { + jQuery.event.trigger( "ajaxStop" ); + } + } + } + + return jqXHR; + }, + + getJSON: function( url, data, callback ) { + return jQuery.get( url, data, callback, "json" ); + }, + + getScript: function( url, callback ) { + return jQuery.get( url, undefined, callback, "script" ); + } +} ); + +jQuery.each( [ "get", "post" ], function( _i, method ) { + jQuery[ method ] = function( url, data, callback, type ) { + + // Shift arguments if data argument was omitted + if ( isFunction( data ) ) { + type = type || callback; + callback = data; + data = undefined; + } + + // The url can be an options object (which then must have .url) + return jQuery.ajax( jQuery.extend( { + url: url, + type: method, + dataType: type, + data: data, + success: callback + }, jQuery.isPlainObject( url ) && url ) ); + }; +} ); + +jQuery.ajaxPrefilter( function( s ) { + var i; + for ( i in s.headers ) { + if ( i.toLowerCase() === "content-type" ) { + s.contentType = s.headers[ i ] || ""; + } + } +} ); + + +jQuery._evalUrl = function( url, options, doc ) { + return jQuery.ajax( { + url: url, + + // Make this explicit, since user can override this through ajaxSetup (#11264) + type: "GET", + dataType: "script", + cache: true, + async: false, + global: false, + + // Only evaluate the response if it is successful (gh-4126) + // dataFilter is not invoked for failure responses, so using it instead + // of the default converter is kludgy but it works. + converters: { + "text script": function() {} + }, + dataFilter: function( response ) { + jQuery.globalEval( response, options, doc ); + } + } ); +}; + + +jQuery.fn.extend( { + wrapAll: function( html ) { + var wrap; + + if ( this[ 0 ] ) { + if ( isFunction( html ) ) { + html = html.call( this[ 0 ] ); + } + + // The elements to wrap the target around + wrap = jQuery( html, this[ 0 ].ownerDocument ).eq( 0 ).clone( true ); + + if ( this[ 0 ].parentNode ) { + wrap.insertBefore( this[ 0 ] ); + } + + wrap.map( function() { + var elem = this; + + while ( elem.firstElementChild ) { + elem = elem.firstElementChild; + } + + return elem; + } ).append( this ); + } + + return this; + }, + + wrapInner: function( html ) { + if ( isFunction( html ) ) { + return this.each( function( i ) { + jQuery( this ).wrapInner( html.call( this, i ) ); + } ); + } + + return this.each( function() { + var self = jQuery( this ), + contents = self.contents(); + + if ( contents.length ) { + contents.wrapAll( html ); + + } else { + self.append( html ); + } + } ); + }, + + wrap: function( html ) { + var htmlIsFunction = isFunction( html ); + + return this.each( function( i ) { + jQuery( this ).wrapAll( htmlIsFunction ? html.call( this, i ) : html ); + } ); + }, + + unwrap: function( selector ) { + this.parent( selector ).not( "body" ).each( function() { + jQuery( this ).replaceWith( this.childNodes ); + } ); + return this; + } +} ); + + +jQuery.expr.pseudos.hidden = function( elem ) { + return !jQuery.expr.pseudos.visible( elem ); +}; +jQuery.expr.pseudos.visible = function( elem ) { + return !!( elem.offsetWidth || elem.offsetHeight || elem.getClientRects().length ); +}; + + + + +jQuery.ajaxSettings.xhr = function() { + try { + return new window.XMLHttpRequest(); + } catch ( e ) {} +}; + +var xhrSuccessStatus = { + + // File protocol always yields status code 0, assume 200 + 0: 200, + + // Support: IE <=9 only + // #1450: sometimes IE returns 1223 when it should be 204 + 1223: 204 + }, + xhrSupported = jQuery.ajaxSettings.xhr(); + +support.cors = !!xhrSupported && ( "withCredentials" in xhrSupported ); +support.ajax = xhrSupported = !!xhrSupported; + +jQuery.ajaxTransport( function( options ) { + var callback, errorCallback; + + // Cross domain only allowed if supported through XMLHttpRequest + if ( support.cors || xhrSupported && !options.crossDomain ) { + return { + send: function( headers, complete ) { + var i, + xhr = options.xhr(); + + xhr.open( + options.type, + options.url, + options.async, + options.username, + options.password + ); + + // Apply custom fields if provided + if ( options.xhrFields ) { + for ( i in options.xhrFields ) { + xhr[ i ] = options.xhrFields[ i ]; + } + } + + // Override mime type if needed + if ( options.mimeType && xhr.overrideMimeType ) { + xhr.overrideMimeType( options.mimeType ); + } + + // X-Requested-With header + // For cross-domain requests, seeing as conditions for a preflight are + // akin to a jigsaw puzzle, we simply never set it to be sure. + // (it can always be set on a per-request basis or even using ajaxSetup) + // For same-domain requests, won't change header if already provided. + if ( !options.crossDomain && !headers[ "X-Requested-With" ] ) { + headers[ "X-Requested-With" ] = "XMLHttpRequest"; + } + + // Set headers + for ( i in headers ) { + xhr.setRequestHeader( i, headers[ i ] ); + } + + // Callback + callback = function( type ) { + return function() { + if ( callback ) { + callback = errorCallback = xhr.onload = + xhr.onerror = xhr.onabort = xhr.ontimeout = + xhr.onreadystatechange = null; + + if ( type === "abort" ) { + xhr.abort(); + } else if ( type === "error" ) { + + // Support: IE <=9 only + // On a manual native abort, IE9 throws + // errors on any property access that is not readyState + if ( typeof xhr.status !== "number" ) { + complete( 0, "error" ); + } else { + complete( + + // File: protocol always yields status 0; see #8605, #14207 + xhr.status, + xhr.statusText + ); + } + } else { + complete( + xhrSuccessStatus[ xhr.status ] || xhr.status, + xhr.statusText, + + // Support: IE <=9 only + // IE9 has no XHR2 but throws on binary (trac-11426) + // For XHR2 non-text, let the caller handle it (gh-2498) + ( xhr.responseType || "text" ) !== "text" || + typeof xhr.responseText !== "string" ? + { binary: xhr.response } : + { text: xhr.responseText }, + xhr.getAllResponseHeaders() + ); + } + } + }; + }; + + // Listen to events + xhr.onload = callback(); + errorCallback = xhr.onerror = xhr.ontimeout = callback( "error" ); + + // Support: IE 9 only + // Use onreadystatechange to replace onabort + // to handle uncaught aborts + if ( xhr.onabort !== undefined ) { + xhr.onabort = errorCallback; + } else { + xhr.onreadystatechange = function() { + + // Check readyState before timeout as it changes + if ( xhr.readyState === 4 ) { + + // Allow onerror to be called first, + // but that will not handle a native abort + // Also, save errorCallback to a variable + // as xhr.onerror cannot be accessed + window.setTimeout( function() { + if ( callback ) { + errorCallback(); + } + } ); + } + }; + } + + // Create the abort callback + callback = callback( "abort" ); + + try { + + // Do send the request (this may raise an exception) + xhr.send( options.hasContent && options.data || null ); + } catch ( e ) { + + // #14683: Only rethrow if this hasn't been notified as an error yet + if ( callback ) { + throw e; + } + } + }, + + abort: function() { + if ( callback ) { + callback(); + } + } + }; + } +} ); + + + + +// Prevent auto-execution of scripts when no explicit dataType was provided (See gh-2432) +jQuery.ajaxPrefilter( function( s ) { + if ( s.crossDomain ) { + s.contents.script = false; + } +} ); + +// Install script dataType +jQuery.ajaxSetup( { + accepts: { + script: "text/javascript, application/javascript, " + + "application/ecmascript, application/x-ecmascript" + }, + contents: { + script: /\b(?:java|ecma)script\b/ + }, + converters: { + "text script": function( text ) { + jQuery.globalEval( text ); + return text; + } + } +} ); + +// Handle cache's special case and crossDomain +jQuery.ajaxPrefilter( "script", function( s ) { + if ( s.cache === undefined ) { + s.cache = false; + } + if ( s.crossDomain ) { + s.type = "GET"; + } +} ); + +// Bind script tag hack transport +jQuery.ajaxTransport( "script", function( s ) { + + // This transport only deals with cross domain or forced-by-attrs requests + if ( s.crossDomain || s.scriptAttrs ) { + var script, callback; + return { + send: function( _, complete ) { + script = jQuery( " - - - - - - - + + + + + + + - - + + Skip to contents -
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    +

    surveyvoi: Survey Value of Information

    lifecycle R-CMD-check-Ubuntu R-CMD-check-Windows R-CMD-check-macOS R-CMD-check-fedora Documentation Coverage Status CRAN_Status_Badge

    @@ -105,8 +71,8 @@

    WindowsUbuntu

    The gmp, fftw3, mpfr, and symphony libraries need to be installed to install the surveyvoi R package. Although the fftw3 and symphony libraries are not used directly, they are needed to successfully install dependencies. For recent versions of Ubuntu (18.04 and later), these libraries are available through official repositories. They can be installed using the following system commands:

    -
    apt-get -y update
-apt-get install -y libgmp3-dev libfftw3-dev libmpfr-dev coinor-libsymphony-dev
    +
    apt-get -y update
+apt-get install -y libgmp3-dev libfftw3-dev libmpfr-dev coinor-libsymphony-dev

    Linux @@ -117,19 +83,21 @@

    Linux

    macOS

    The gmp, fftw, mpfr, and symphony libraries are required. Although the fftw3 and symphony libraries are not used directly, they are needed to successfully install dependencies. The easiest way to install these libraries is using HomeBrew. After installing HomeBrew, these libraries can be installed using the following commands in the system terminal:

    -
    brew tap coin-or-tools/coinor
-brew install symphony
-brew install pkg-config
-brew install gmp
-brew install fftw
-brew install mpfr
    +
    brew tap coin-or-tools/coinor
+brew install symphony
+brew install pkg-config
+brew install gmp
+brew install fftw
+brew install mpfr

    Citation

    Please cite the surveyvoi R package when using it in publications. To cite the package, please use:

    -

    Hanson, JO, McCune JL, Chadès I, Proctor CA, Hudgins EJ, & Bennett JR (2023) Optimizing ecological surveys for conservation. Journal of Applied Ecology, 60: 41–51. Available at https://doi.org/10.1111/1365-2664.14309.

    +
    +

    Hanson, JO, McCune JL, Chadès I, Proctor CA, Hudgins EJ, & Bennett JR (2023) Optimizing ecological surveys for conservation. Journal of Applied Ecology, 60: 41–51. Available at https://doi.org/10.1111/1365-2664.14309.

    +

    Usage @@ -148,43 +116,43 @@

    Usage # print table print(sim_sites, width = Inf)

    -
    ## Simple feature collection with 6 features and 13 fields
-## Geometry type: POINT
-## Dimension:     XY
-## Bounding box:  xmin: 0.02541313 ymin: 0.07851093 xmax: 0.9888107 ymax: 0.717068
-## CRS:           NA
-## # A tibble: 6 × 14
-##   survey_cost management_cost    f1    f2    f3    n1    n2    n3     e1     e2
-##         <dbl>           <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>  <dbl>  <dbl>
-## 1          19              99     0     0  0        0     0     0  1.13   0.535
-## 2          22              87     0     1  0.25     4     4     4 -1.37  -1.45 
-## 3          13              94     1     1  0        1     1     1  0.155 -0.867
-## 4          19              61     0     0  0        0     0     0 -0.792  1.32 
-## 5           9             105     0     0  0        0     0     0 -0.194  0.238
-## 6          12             136     0     0  0        0     0     0  1.07   0.220
-##      p1    p2    p3               geometry
-##   <dbl> <dbl> <dbl>                <POINT>
-## 1 0.999 0.988 0.21   (0.03529733 0.544939)
-## 2 0.001 0.995 0.152    (0.33276 0.3174416)
-## 3 0.966 1     0.017 (0.6141922 0.07851093)
-## 4 0     0     1     (0.02541313 0.1147132)
-## 5 0.11  0.006 0.831  (0.9888107 0.2152785)
-## 6 1     1     0.082   (0.9038749 0.717068)
    +
    ## Simple feature collection with 6 features and 13 fields
+## Geometry type: POINT
+## Dimension:     XY
+## Bounding box:  xmin: 0.02541313 ymin: 0.07851093 xmax: 0.9888107 ymax: 0.717068
+## CRS:           NA
+## # A tibble: 6 × 14
+##   survey_cost management_cost    f1    f2    f3    n1    n2    n3     e1     e2
+##         <dbl>           <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>  <dbl>  <dbl>
+## 1          19              99     0     0  0        0     0     0  1.13   0.535
+## 2          22              87     0     1  0.25     4     4     4 -1.37  -1.45 
+## 3          13              94     1     1  0        1     1     1  0.155 -0.867
+## 4          19              61     0     0  0        0     0     0 -0.792  1.32 
+## 5           9             105     0     0  0        0     0     0 -0.194  0.238
+## 6          12             136     0     0  0        0     0     0  1.07   0.220
+##      p1    p2    p3               geometry
+##   <dbl> <dbl> <dbl>                <POINT>
+## 1 0.999 0.988 0.21   (0.03529733 0.544939)
+## 2 0.001 0.995 0.152    (0.33276 0.3174416)
+## 3 0.966 1     0.017 (0.6141922 0.07851093)
+## 4 0     0     1     (0.02541313 0.1147132)
+## 5 0.11  0.006 0.831  (0.9888107 0.2152785)
+## 6 1     1     0.082   (0.9038749 0.717068)
     # plot cost of protecting each site
 ggplot(sim_sites) +
 geom_sf(aes(color = management_cost), size = 4) +
 ggtitle("management_cost") +
-theme(legend.title = element_blank())
    -

    +theme(legend.title = element_blank(), text = element_text(size = 16))
    +

     # plot cost of conducting an additional survey in each site
 # note that these costs are much lower than the protection costs
 ggplot(sim_sites) +
 geom_sf(aes(color = survey_cost), size = 4) +
 ggtitle("survey_cost") +
-theme(legend.title = element_blank())
    -

    +theme(legend.title = element_blank(), text = element_text(size = 16))
    +

     # plot survey data
 ## n1, n2, n3: number of surveys in each site that looked for each feature
@@ -193,8 +161,9 @@ 
    Usage
 gather(name, value, -geometry) %>%
 ggplot() +
 geom_sf(aes(color = value), size = 4) +
-facet_wrap(~name, nrow = 1)
    -

    +facet_wrap(~name, nrow = 1) + +theme(text = element_text(size = 16))
    +

     # plot survey results
 ## f1, f2, f3: proportion of surveys in each site that looked for each feature
@@ -205,8 +174,9 @@ 
    Usage
 ggplot() +
 geom_sf(aes(color = value), size = 4) +
 facet_wrap(~name, nrow = 1) +
-scale_color_continuous(limits = c(0, 1))
    -

    +scale_color_continuous(limits = c(0, 1)) + +theme(text = element_text(size = 16))
    +

     # plot modeled probability of occupancy data
 sim_sites %>%
@@ -215,8 +185,9 @@ 
    Usage
 ggplot() +
 geom_sf(aes(color = value), size = 4) +
 facet_wrap(~name, nrow = 1) +
-scale_color_continuous(limits = c(0, 1))
    -

    +scale_color_continuous(limits = c(0, 1)) + +theme(text = element_text(size = 16)) +

    Next, we will load the sim_features object. This table contains information on the conservation features (e.g. species). Specifically, each row corresponds to a different feature, and each column contains information associated with the features. In this table, the "name" column contains the name of each feature; "survey" column indicates whether future surveys would look for this species; "survey_sensitivity" and "survey_specificity" columns denote the sensitivity (true positive rate) and specificity (true negative rate) for the survey methodology for correctly detecting the feature; "model_sensitivity" and "model_specificity" columns denote the sensitivity (true positive rate) and specificity (true negative rate) for the species distribution models fitted for each feature; and "target" column denotes the required number of protected sites for each feature (termed “representation target”, each feature has a target of 2 site).

     # load data
@@ -224,17 +195,17 @@ 
    Usage
 
 # print table
 print(sim_features, width = Inf)
    -
    ## # A tibble: 3 × 7
-##   name  survey survey_sensitivity survey_specificity model_sensitivity
-##   <chr> <lgl>               <dbl>              <dbl>             <dbl>
-## 1 f1    TRUE                0.951              0.854             0.711
-## 2 f2    TRUE                0.990              0.832             0.722
-## 3 f3    TRUE                0.986              0.808             0.772
-##   model_specificity target
-##               <dbl>  <dbl>
-## 1             0.841      2
-## 2             0.806      2
-## 3             0.871      2
    +
    ## # A tibble: 3 × 7
+##   name  survey survey_sensitivity survey_specificity model_sensitivity
+##   <chr> <lgl>               <dbl>              <dbl>             <dbl>
+## 1 f1    TRUE                0.951              0.854             0.711
+## 2 f2    TRUE                0.990              0.832             0.722
+## 3 f3    TRUE                0.986              0.808             0.772
+##   model_specificity target
+##               <dbl>  <dbl>
+## 1             0.841      2
+## 2             0.806      2
+## 3             0.871      2

    After loading the data, we will now generate an optimized ecological survey scheme. To achieve this, we will use approx_optimal_survey_scheme() function. This function uses a greedy heuristic algorithm to maximize value of information. Although other functions can return solutions that are guaranteed to be optimal (i.e. optimal_survey_scheme()), they can take a very long time to complete because they use a brute-force approach. This function also uses an approximation routine to reduce computational burden.

    To perform the optimization, we will set a total budget for (i) protecting sites and (ii) surveying sites. Although you might be hesitant to specify a budget, please recall that you would make very different plans depending on available funds. For instance, if you have near infinite funds then you wouldn’t bother conducting any surveys and simply protect everything. Similarly, if you had very limited funds, then you wouldn’t survey any sites to ensure that at least one site could be protected. Generally, conservation planning problems occur somewhere between these two extremes—but the optimization process can’t take that into account if you don’t specify a budget. For brevity, here we will set the total budget as 90% of the total costs for protecting sites.

    @@ -268,9 +239,9 @@ 
    Usage
 # in the event that there are multiple near-optimal survey schemes, then this
 # matrix will have multiple rows
 print(str(opt_scheme))
    -
    ##  logi [1, 1:6] TRUE FALSE FALSE TRUE TRUE FALSE
-##  - attr(*, "ev")= num [1, 1:100] 0.596 0.596 0.596 0.596 0.596 ...
-## NULL
    +
    ##  logi [1, 1:6] TRUE FALSE FALSE TRUE TRUE FALSE
+##  - attr(*, "ev")= num [1, 1:100] 0.596 0.596 0.596 0.596 0.596 ...
+## NULL
     # let's add the first solution (row) in opt_scheme to the site data to plot it
 sim_sites$scheme <- c(opt_scheme[1, ])
@@ -281,8 +252,8 @@ 
    Usage
 ggplot(sim_sites) +
 geom_sf(aes(color = scheme), size = 4) +
 ggtitle("scheme") +
-theme(legend.title = element_blank())
    -

    +theme(text = element_text(size = 16)) +

    This has just been a taster of the surveyvoi R package. In addition to this functionality, it can be used to evaluate survey schemes using value of information analysis. Furthermore, it can be used to generate survey schemes using conventional approaches (e.g. sampling environmental gradients, and selecting places with highly uncertain information). For more information, see the package vignette.

    @@ -291,10 +262,7 @@

    Getting helpfile an issue at the package’s online code repository.

    - - - - - + diff --git a/docs/katex-auto.js b/docs/katex-auto.js new file mode 100644 index 0000000..20651d9 --- /dev/null +++ b/docs/katex-auto.js @@ -0,0 +1,14 @@ +// https://github.com/jgm/pandoc/blob/29fa97ab96b8e2d62d48326e1b949a71dc41f47a/src/Text/Pandoc/Writers/HTML.hs#L332-L345 +document.addEventListener("DOMContentLoaded", function () { + var mathElements = document.getElementsByClassName("math"); + var macros = []; + for (var i = 0; i < mathElements.length; i++) { + var texText = mathElements[i].firstChild; + if (mathElements[i].tagName == "SPAN") { + katex.render(texText.data, mathElements[i], { + displayMode: mathElements[i].classList.contains("display"), + throwOnError: false, + macros: macros, + fleqn: false + }); + }}}); diff --git a/docs/lightswitch.js b/docs/lightswitch.js new file mode 100644 index 0000000..9467125 --- /dev/null +++ b/docs/lightswitch.js @@ -0,0 +1,85 @@ + +/*! + * Color mode toggler for Bootstrap's docs (https://getbootstrap.com/) + * Copyright 2011-2023 The Bootstrap Authors + * Licensed under the Creative Commons Attribution 3.0 Unported License. + * Updates for {pkgdown} by the {bslib} authors, also licensed under CC-BY-3.0. + */ + +const getStoredTheme = () => localStorage.getItem('theme') +const setStoredTheme = theme => localStorage.setItem('theme', theme) + +const getPreferredTheme = () => { + const storedTheme = getStoredTheme() + if (storedTheme) { + return storedTheme + } + + return window.matchMedia('(prefers-color-scheme: dark)').matches ? 'dark' : 'light' +} + +const setTheme = theme => { + if (theme === 'auto') { + document.documentElement.setAttribute('data-bs-theme', (window.matchMedia('(prefers-color-scheme: dark)').matches ? 'dark' : 'light')) + } else { + document.documentElement.setAttribute('data-bs-theme', theme) + } +} + +function bsSetupThemeToggle () { + 'use strict' + + const showActiveTheme = (theme, focus = false) => { + var activeLabel, activeIcon; + + document.querySelectorAll('[data-bs-theme-value]').forEach(element => { + const buttonTheme = element.getAttribute('data-bs-theme-value') + const isActive = buttonTheme == theme + + element.classList.toggle('active', isActive) + element.setAttribute('aria-pressed', isActive) + + if (isActive) { + activeLabel = element.textContent; + activeIcon = element.querySelector('span').classList.value; + } + }) + + const themeSwitcher = document.querySelector('#dropdown-lightswitch') + if (!themeSwitcher) { + return + } + + themeSwitcher.setAttribute('aria-label', activeLabel) + themeSwitcher.querySelector('span').classList.value = activeIcon; + + if (focus) { + themeSwitcher.focus() + } + } + + window.matchMedia('(prefers-color-scheme: dark)').addEventListener('change', () => { + const storedTheme = getStoredTheme() + if (storedTheme !== 'light' && storedTheme !== 'dark') { + setTheme(getPreferredTheme()) + } + }) + + window.addEventListener('DOMContentLoaded', () => { + showActiveTheme(getPreferredTheme()) + + document + .querySelectorAll('[data-bs-theme-value]') + .forEach(toggle => { + toggle.addEventListener('click', () => { + const theme = toggle.getAttribute('data-bs-theme-value') + setTheme(theme) + setStoredTheme(theme) + showActiveTheme(theme, true) + }) + }) + }) +} + +setTheme(getPreferredTheme()); +bsSetupThemeToggle(); diff --git a/docs/news/index.html b/docs/news/index.html index 3ec5b84..bf6599a 100644 --- a/docs/news/index.html +++ b/docs/news/index.html @@ -1,76 +1,66 @@ -Changelog • surveyvoi - - -
    -
    - +
    -
    -
    -

    Changelog

    + 1.1.0.2 + + + + + + + +
    +
    +
    +
    + +

    Changelog

    Source: NEWS.md
    -

    surveyvoi 1.1.0.1

    -
    • Fix bug in greedy_heuristic_algorithm() function so that it returns a solution if it is not possible to select enough planning units to meet the target for any species. Instead of throwing an error, it will now throw a warning and return a solution containing the cheapest set of planning units within the budget and locked out constraints. Note that this solution will have an objective value of zero, because it has zero probability of meeting any of the species’ targets.
    +

    surveyvoi 1.1.0.2

    +
    • Fix bug in fit_xgb_occupancy_models() that caused an error during model fitting due to failed predictions.
      • +
    • Fix package citation.
      • +
    -

    surveyvoi 1.1.0.0

    +

    surveyvoi 1.1.0.1

    +
    • Fix bug in greedy_heuristic_algorithm() function so that it returns a solution if it is not possible to select enough planning units to meet the target for any species. Instead of throwing an error, it will now throw a warning and return a solution containing the cheapest set of planning units within the budget and locked out constraints. Note that this solution will have an objective value of zero, because it has zero probability of meeting any of the species’ targets.
      • +
    +
    +

    surveyvoi 1.1.0.0

    -

    surveyvoi 1.0.62024-02-16

    +

    surveyvoi 1.0.6

    CRAN release: 2024-02-16

    • Fix installation for Windows on arm64 (#50).
    • Fix aliasing for package overview help file (#49).
    • Remove CXX specification in Makevars to avoid NOTEs in package checks.
    -

    surveyvoi 1.0.5.1

    -
    • Update citation.
    +

    surveyvoi 1.0.5.1

    +
    • Update citation.
      • +
    -

    surveyvoi 1.0.52022-09-17

    +

    surveyvoi 1.0.5

    CRAN release: 2022-09-17

    • CRAN release.
    • Skip tests on Fedora systems because unable to reproduce error on CRAN.
    • Fix compiler warning thrown during installation.
      • @@ -79,56 +69,62 @@

      surveyvoi 1.0.5
    • Update citation information in README.

    -

    surveyvoi 1.0.42022-08-26

    -
    • CRAN release.
    +

    surveyvoi 1.0.4

    CRAN release: 2022-08-26

    +
    • CRAN release.
      • +
    -

    surveyvoi 1.0.3.12

    +

    surveyvoi 1.0.3.12

    • Update CRAN comments document and remove pkg-config from system requirements.
    • Fix compiler warning thrown during installation.
    -

    surveyvoi 1.0.3.11

    -
    +

    surveyvoi 1.0.3.11

    +
    -

    surveyvoi 1.0.3.10

    +

    surveyvoi 1.0.3.10

    • Fix CRAN note about utils package dependency.
    • Skip unit tests that require RandomFields package on Windows to avoid spurious failures.
    -

    surveyvoi 1.0.3.9

    +

    surveyvoi 1.0.3.9

    • Update documentation for new code repository location.
    • Add remote for RandomFields package to facilitate installation.
    -

    surveyvoi 1.0.3.8

    -
    • Standardize spelling (en-US).
    +

    surveyvoi 1.0.3.8

    +
    • Standardize spelling (en-US).
      • +
    -

    surveyvoi 1.0.3.7

    +

    surveyvoi 1.0.3.7

    • Tweak package documentation.
    • The RandomFields package is now an optional dependency.
    -

    surveyvoi 1.0.3.6

    -
    • Update README with system requirements for PoissonBinomial package (#42).
    +

    surveyvoi 1.0.3.6

    +
    • Update README with system requirements for PoissonBinomial package (#42).
      • +
    -

    surveyvoi 1.0.3.5

    -
    • Autoconf is used for installation on Linux and macOS operating systems.
    +

    surveyvoi 1.0.3.5

    +
    • Autoconf is used for installation on Linux and macOS operating systems.
      • +
    -

    surveyvoi 1.0.3.4

    -
    +

    surveyvoi 1.0.3.4

    +
    -

    surveyvoi 1.0.3.3

    +

    surveyvoi 1.0.3.3

    • Fix issue with fit_xgb_occupancy_models() using more than specified number of threads for parallel processing.
    • Ensure that PSOCK and FORK clusters used for parallel processing are terminated correctly, even when processing is interrupted.
    -

    surveyvoi 1.0.3.2

    +

    surveyvoi 1.0.3.2

    • Fix compatibility issues with updated xgboost package (version 1.5.0).
    • Fix parallel processing tests given updates to the testthat package (version 3.1.2).
    • Fix tests for environmental and geographic survey schemes given updates to the gurobi package (version 9.5.0).
    -

    surveyvoi 1.0.3.1

    +

    surveyvoi 1.0.3.1

    • GMP dependencies on Windows systems are now handled using RWinLib (see https://github.com/rwinlib/gmp).

    • Package configuration now reports compilation variables (i.e. PKG_CPPFLAGS and PKG_LIBS variables).

    • The Free Software Foundation is no longer listed as a contributor and copyright holder because GMP source files are no longer distributed with the package (because GMP dependencies are obtained via RWinLib).

      • @@ -138,57 +134,53 @@

      surveyvoi 1.

    -

    surveyvoi 1.0.32021-05-31

    +

    surveyvoi 1.0.3

    CRAN release: 2021-05-31

    • CRAN release.
    • Fix issue with missing gmpxx file.
    • Remove unused dependencies.
    -

    surveyvoi 1.0.22021-05-27

    +

    surveyvoi 1.0.2

    CRAN release: 2021-05-27

    • CRAN release.
    • Update CRAN comments.
    • Update examples.
    • Improve documentation for functions that depend on external software.
    -

    surveyvoi 1.0.1

    +

    surveyvoi 1.0.1

    • Fix typos in documentation (#38).
    • Add details for tuning xgboost models to documentation (#39).
    -

    surveyvoi 1.0.0

    +

    surveyvoi 1.0.0

    • Refactor for official release.
    • Add support for generating surveys with the Rsymphony package.
    -

    surveyvoi 0.0.76

    -
    • All functions appear to work.
    +

    surveyvoi 0.0.76

    +
    • All functions appear to work.
      • +
    -

    surveyvoi 0.0.1

    -
    • Initial commit.
    - +

    surveyvoi 0.0.1

    +
    • Initial commit.
      • +
    + - + - - diff --git a/docs/pkgdown.css b/docs/pkgdown.css deleted file mode 100644 index 80ea5b8..0000000 --- a/docs/pkgdown.css +++ /dev/null @@ -1,384 +0,0 @@ -/* Sticky footer */ - -/** - * Basic idea: https://philipwalton.github.io/solved-by-flexbox/demos/sticky-footer/ - * Details: https://github.com/philipwalton/solved-by-flexbox/blob/master/assets/css/components/site.css - * - * .Site -> body > .container - * .Site-content -> body > .container .row - * .footer -> footer - * - * Key idea seems to be to ensure that .container and __all its parents__ - * have height set to 100% - * - */ - -html, body { - height: 100%; -} - -body { - position: relative; -} - -body > .container { - display: flex; - height: 100%; - flex-direction: column; -} - -body > .container .row { - flex: 1 0 auto; -} - -footer { - margin-top: 45px; - padding: 35px 0 36px; - border-top: 1px solid #e5e5e5; - color: #666; - display: flex; - flex-shrink: 0; -} -footer p { - margin-bottom: 0; -} -footer div { - flex: 1; -} -footer .pkgdown { - text-align: right; -} -footer p { - margin-bottom: 0; -} - -img.icon { - float: right; -} - -/* Ensure in-page images don't run outside their container */ -.contents img { - max-width: 100%; - height: auto; -} - -/* Fix bug in bootstrap (only seen in firefox) */ -summary { - display: list-item; -} - -/* Typographic tweaking ---------------------------------*/ - -.contents .page-header { - margin-top: calc(-60px + 1em); -} - -dd { - margin-left: 3em; -} - -/* Section anchors ---------------------------------*/ - -a.anchor { - display: none; - margin-left: 5px; - width: 20px; - height: 20px; - - background-image: url(./link.svg); - background-repeat: no-repeat; - background-size: 20px 20px; - background-position: center center; -} - -h1:hover .anchor, -h2:hover .anchor, -h3:hover .anchor, -h4:hover .anchor, -h5:hover .anchor, -h6:hover .anchor { - display: inline-block; -} - -/* Fixes for fixed navbar --------------------------*/ - -.contents h1, .contents h2, .contents h3, .contents h4 { - padding-top: 60px; - margin-top: -40px; -} - -/* Navbar submenu --------------------------*/ - -.dropdown-submenu { - position: relative; -} - -.dropdown-submenu>.dropdown-menu { - top: 0; - left: 100%; - margin-top: -6px; - margin-left: -1px; - border-radius: 0 6px 6px 6px; -} - -.dropdown-submenu:hover>.dropdown-menu { - display: block; -} - -.dropdown-submenu>a:after { - display: block; - content: " "; - float: right; - width: 0; - height: 0; - border-color: transparent; - border-style: solid; - border-width: 5px 0 5px 5px; - border-left-color: #cccccc; - margin-top: 5px; - margin-right: -10px; -} - -.dropdown-submenu:hover>a:after { - border-left-color: #ffffff; -} - -.dropdown-submenu.pull-left { - float: none; -} - -.dropdown-submenu.pull-left>.dropdown-menu { - left: -100%; - margin-left: 10px; - border-radius: 6px 0 6px 6px; -} - -/* Sidebar --------------------------*/ - -#pkgdown-sidebar { - margin-top: 30px; - position: -webkit-sticky; - position: sticky; - top: 70px; -} - -#pkgdown-sidebar h2 { - font-size: 1.5em; - margin-top: 1em; -} - -#pkgdown-sidebar h2:first-child { - margin-top: 0; -} - -#pkgdown-sidebar .list-unstyled li { - margin-bottom: 0.5em; -} - -/* bootstrap-toc tweaks ------------------------------------------------------*/ - -/* All levels of nav */ - -nav[data-toggle='toc'] .nav > li > a { - padding: 4px 20px 4px 6px; - font-size: 1.5rem; - font-weight: 400; - color: inherit; -} - -nav[data-toggle='toc'] .nav > li > a:hover, -nav[data-toggle='toc'] .nav > li > a:focus { - padding-left: 5px; - color: inherit; - border-left: 1px solid #878787; -} - -nav[data-toggle='toc'] .nav > .active > a, -nav[data-toggle='toc'] .nav > .active:hover > a, -nav[data-toggle='toc'] .nav > .active:focus > a { - padding-left: 5px; - font-size: 1.5rem; - font-weight: 400; - color: inherit; - border-left: 2px solid #878787; -} - -/* Nav: second level (shown on .active) */ - -nav[data-toggle='toc'] .nav .nav { - display: none; /* Hide by default, but at >768px, show it */ - padding-bottom: 10px; -} - -nav[data-toggle='toc'] .nav .nav > li > a { - padding-left: 16px; - font-size: 1.35rem; -} - -nav[data-toggle='toc'] .nav .nav > li > a:hover, -nav[data-toggle='toc'] .nav .nav > li > a:focus { - padding-left: 15px; -} - -nav[data-toggle='toc'] .nav .nav > .active > a, -nav[data-toggle='toc'] .nav .nav > .active:hover > a, -nav[data-toggle='toc'] .nav .nav > .active:focus > a { - padding-left: 15px; - font-weight: 500; - font-size: 1.35rem; -} - -/* orcid ------------------------------------------------------------------- */ - -.orcid { - font-size: 16px; - color: #A6CE39; - /* margins are required by official ORCID trademark and display guidelines */ - margin-left:4px; - margin-right:4px; - vertical-align: middle; -} - -/* Reference index & topics ----------------------------------------------- */ - -.ref-index th {font-weight: normal;} - -.ref-index td {vertical-align: top; min-width: 100px} -.ref-index .icon {width: 40px;} -.ref-index .alias {width: 40%;} -.ref-index-icons .alias {width: calc(40% - 40px);} -.ref-index .title {width: 60%;} - -.ref-arguments th {text-align: right; padding-right: 10px;} -.ref-arguments th, .ref-arguments td {vertical-align: top; min-width: 100px} -.ref-arguments .name {width: 20%;} -.ref-arguments .desc {width: 80%;} - -/* Nice scrolling for wide elements --------------------------------------- */ - -table { - display: block; - overflow: auto; -} - -/* Syntax highlighting ---------------------------------------------------- */ - -pre, code, pre code { - background-color: #f8f8f8; - color: #333; -} -pre, pre code { - white-space: pre-wrap; - word-break: break-all; - overflow-wrap: break-word; -} - -pre { - border: 1px solid #eee; -} - -pre .img, pre .r-plt { - margin: 5px 0; -} - -pre .img img, pre .r-plt img { - background-color: #fff; -} - -code a, pre a { - color: #375f84; -} - -a.sourceLine:hover { - text-decoration: none; -} - -.fl {color: #1514b5;} -.fu {color: #000000;} /* function */ -.ch,.st {color: #036a07;} /* string */ -.kw {color: #264D66;} /* keyword */ -.co {color: #888888;} /* comment */ - -.error {font-weight: bolder;} -.warning {font-weight: bolder;} - -/* Clipboard --------------------------*/ - -.hasCopyButton { - position: relative; -} - -.btn-copy-ex { - position: absolute; - right: 0; - top: 0; - visibility: hidden; -} - -.hasCopyButton:hover button.btn-copy-ex { - visibility: visible; -} - -/* headroom.js ------------------------ */ - -.headroom { - will-change: transform; - transition: transform 200ms linear; -} -.headroom--pinned { - transform: translateY(0%); -} -.headroom--unpinned { - transform: translateY(-100%); -} - -/* mark.js ----------------------------*/ - -mark { - background-color: rgba(255, 255, 51, 0.5); - border-bottom: 2px solid rgba(255, 153, 51, 0.3); - padding: 1px; -} - -/* vertical spacing after htmlwidgets */ -.html-widget { - margin-bottom: 10px; -} - -/* fontawesome ------------------------ */ - -.fab { - font-family: "Font Awesome 5 Brands" !important; -} - -/* don't display links in code chunks when printing */ -/* source: https://stackoverflow.com/a/10781533 */ -@media print { - code a:link:after, code a:visited:after { - content: ""; - } -} - -/* Section anchors --------------------------------- - Added in pandoc 2.11: https://github.com/jgm/pandoc-templates/commit/9904bf71 -*/ - -div.csl-bib-body { } -div.csl-entry { - clear: both; -} -.hanging-indent div.csl-entry { - margin-left:2em; - text-indent:-2em; -} -div.csl-left-margin { - min-width:2em; - float:left; -} -div.csl-right-inline { - margin-left:2em; - padding-left:1em; -} -div.csl-indent { - margin-left: 2em; -} diff --git a/docs/pkgdown.js b/docs/pkgdown.js index 6f0eee4..9757bf9 100644 --- a/docs/pkgdown.js +++ b/docs/pkgdown.js @@ -2,83 +2,43 @@ (function($) { $(function() { - $('.navbar-fixed-top').headroom(); + $('nav.navbar').headroom(); - $('body').css('padding-top', $('.navbar').height() + 10); - $(window).resize(function(){ - $('body').css('padding-top', $('.navbar').height() + 10); + Toc.init({ + $nav: $("#toc"), + $scope: $("main h2, main h3, main h4, main h5, main h6") }); - $('[data-toggle="tooltip"]').tooltip(); - - var cur_path = paths(location.pathname); - var links = $("#navbar ul li a"); - var max_length = -1; - var pos = -1; - for (var i = 0; i < links.length; i++) { - if (links[i].getAttribute("href") === "#") - continue; - // Ignore external links - if (links[i].host !== location.host) - continue; - - var nav_path = paths(links[i].pathname); - - var length = prefix_length(nav_path, cur_path); - if (length > max_length) { - max_length = length; - pos = i; - } - } - - // Add class to parent
  • , and enclosing
  • if in dropdown - if (pos >= 0) { - var menu_anchor = $(links[pos]); - menu_anchor.parent().addClass("active"); - menu_anchor.closest("li.dropdown").addClass("active"); - } - }); - - function paths(pathname) { - var pieces = pathname.split("/"); - pieces.shift(); // always starts with / - - var end = pieces[pieces.length - 1]; - if (end === "index.html" || end === "") - pieces.pop(); - return(pieces); - } - - // Returns -1 if not found - function prefix_length(needle, haystack) { - if (needle.length > haystack.length) - return(-1); - - // Special case for length-0 haystack, since for loop won't run - if (haystack.length === 0) { - return(needle.length === 0 ? 0 : -1); + if ($('#toc').length) { + $('body').scrollspy({ + target: '#toc', + offset: $("nav.navbar").outerHeight() + 1 + }); } - for (var i = 0; i < haystack.length; i++) { - if (needle[i] != haystack[i]) - return(i); - } + // Activate popovers + $('[data-bs-toggle="popover"]').popover({ + container: 'body', + html: true, + trigger: 'focus', + placement: "top", + sanitize: false, + }); - return(haystack.length); - } + $('[data-bs-toggle="tooltip"]').tooltip(); /* Clipboard --------------------------*/ function changeTooltipMessage(element, msg) { - var tooltipOriginalTitle=element.getAttribute('data-original-title'); - element.setAttribute('data-original-title', msg); + var tooltipOriginalTitle=element.getAttribute('data-bs-original-title'); + element.setAttribute('data-bs-original-title', msg); $(element).tooltip('show'); - element.setAttribute('data-original-title', tooltipOriginalTitle); + element.setAttribute('data-bs-original-title', tooltipOriginalTitle); } if(ClipboardJS.isSupported()) { $(document).ready(function() { - var copyButton = ""; + var copyButton = ""; $("div.sourceCode").addClass("hasCopyButton"); @@ -89,20 +49,106 @@ $('.btn-copy-ex').tooltip({container: 'body'}); // Initialize clipboard: - var clipboardBtnCopies = new ClipboardJS('[data-clipboard-copy]', { + var clipboard = new ClipboardJS('[data-clipboard-copy]', { text: function(trigger) { return trigger.parentNode.textContent.replace(/\n#>[^\n]*/g, ""); } }); - clipboardBtnCopies.on('success', function(e) { + clipboard.on('success', function(e) { changeTooltipMessage(e.trigger, 'Copied!'); e.clearSelection(); }); - clipboardBtnCopies.on('error', function() { + clipboard.on('error', function(e) { changeTooltipMessage(e.trigger,'Press Ctrl+C or Command+C to copy'); }); + }); } + + /* Search marking --------------------------*/ + var url = new URL(window.location.href); + var toMark = url.searchParams.get("q"); + var mark = new Mark("main#main"); + if (toMark) { + mark.mark(toMark, { + accuracy: { + value: "complementary", + limiters: [",", ".", ":", "/"], + } + }); + } + + /* Search --------------------------*/ + /* Adapted from https://github.com/rstudio/bookdown/blob/2d692ba4b61f1e466c92e78fd712b0ab08c11d31/inst/resources/bs4_book/bs4_book.js#L25 */ + // Initialise search index on focus + var fuse; + $("#search-input").focus(async function(e) { + if (fuse) { + return; + } + + $(e.target).addClass("loading"); + var response = await fetch($("#search-input").data("search-index")); + var data = await response.json(); + + var options = { + keys: ["what", "text", "code"], + ignoreLocation: true, + threshold: 0.1, + includeMatches: true, + includeScore: true, + }; + fuse = new Fuse(data, options); + + $(e.target).removeClass("loading"); + }); + + // Use algolia autocomplete + var options = { + autoselect: true, + debug: true, + hint: false, + minLength: 2, + }; + var q; +async function searchFuse(query, callback) { + await fuse; + + var items; + if (!fuse) { + items = []; + } else { + q = query; + var results = fuse.search(query, { limit: 20 }); + items = results + .filter((x) => x.score <= 0.75) + .map((x) => x.item); + if (items.length === 0) { + items = [{dir:"Sorry 😿",previous_headings:"",title:"No results found.",what:"No results found.",path:window.location.href}]; + } + } + callback(items); +} + $("#search-input").autocomplete(options, [ + { + name: "content", + source: searchFuse, + templates: { + suggestion: (s) => { + if (s.title == s.what) { + return `${s.dir} >
    ${s.title}
    `; + } else if (s.previous_headings == "") { + return `${s.dir} >
    ${s.title}
    > ${s.what}`; + } else { + return `${s.dir} >
    ${s.title}
    > ${s.previous_headings} > ${s.what}`; + } + }, + }, + }, + ]).on('autocomplete:selected', function(event, s) { + window.location.href = s.path + "?q=" + q + "#" + s.id; + }); + }); })(window.jQuery || window.$) diff --git a/docs/pkgdown.yml b/docs/pkgdown.yml index b490e86..cb7113d 100644 --- a/docs/pkgdown.yml +++ b/docs/pkgdown.yml @@ -1,10 +1,9 @@ -pandoc: '2.13' -pkgdown: 2.0.7 +pandoc: '3.3' +pkgdown: 2.1.0 pkgdown_sha: ~ articles: surveyvoi: surveyvoi.html -last_built: 2024-07-24T01:59Z +last_built: 2024-09-23T04:19Z urls: reference: https://github.com/prioritizr/surveyvoi/reference article: https://github.com/prioritizr/surveyvoi/articles - diff --git a/docs/reference/Rplot001.png b/docs/reference/Rplot001.png deleted file mode 100644 index 6d09c99..0000000 Binary files a/docs/reference/Rplot001.png and /dev/null differ diff --git a/docs/reference/Rplot002.png b/docs/reference/Rplot002.png deleted file mode 100644 index bd0d53e..0000000 Binary files a/docs/reference/Rplot002.png and /dev/null differ diff --git a/docs/reference/Rplot003.png b/docs/reference/Rplot003.png deleted file mode 100644 index 8c754d9..0000000 Binary files a/docs/reference/Rplot003.png and /dev/null differ diff --git a/docs/reference/Rplot004.png b/docs/reference/Rplot004.png deleted file mode 100644 index 6e12e3d..0000000 Binary files a/docs/reference/Rplot004.png and /dev/null differ diff --git a/docs/reference/Rplot005.png b/docs/reference/Rplot005.png deleted file mode 100644 index 850b712..0000000 Binary files a/docs/reference/Rplot005.png and /dev/null differ diff --git a/docs/reference/approx_evdsi.html b/docs/reference/approx_evdsi.html index 7eb6d7c..5a8475d 100644 --- a/docs/reference/approx_evdsi.html +++ b/docs/reference/approx_evdsi.html @@ -1,61 +1,48 @@ -Approximate expected value of the decision given survey information — approx_evdsi • surveyvoiApproximate expected value of the decision given survey information — approx_evdsi • surveyvoi - - -
    -
    -
    -
    -

    Approximate expected value of the decision given survey information

    - Source: R/approx_evdsi.R - + + + +
    +
    +
    +
    + +

    Approximate expected value of the decision given survey information

    + Source: R/approx_evdsi.R +
    approx_evdsi.Rd
    -
    +

    Calculate the expected value of the management decision given survey information. This metric describes the value of the management decision that is expected when the decision maker conducts a surveys a @@ -63,7 +50,8 @@

    Approximate expected value of the decision given survey information

    an approximation method is used.

    -
    +
    +

    Usage

    approx_evdsi(
   site_data,
   feature_data,
@@ -89,17 +77,19 @@ 
    Approximate expected value of the decision given survey information
    
 )
    -
    -

    Arguments

    -
    site_data
    +
    +

    Arguments

    + + +
    site_data

    sf::sf() object with site data.

    -
    feature_data
    +
    feature_data

    base::data.frame() object with feature data.

    -
    site_detection_columns
    +
    site_detection_columns

    character names of numeric columns in the argument to site_data that contain the proportion of surveys conducted within each site that detected each feature. @@ -108,7 +98,7 @@

    Arguments

    not previously been surveyed, a value of zero should be used.

    -
    site_n_surveys_columns
    +
    site_n_surveys_columns

    character names of numeric columns in the argument to site_data that contain the total number of surveys conducted for each each feature within each site. @@ -117,7 +107,7 @@

    Arguments

    not previously been surveyed, a value of zero should be used.

    -
    site_probability_columns
    +
    site_probability_columns

    character names of numeric columns in the argument to site_data that contain modeled probabilities of occupancy for each feature in each site. @@ -126,7 +116,7 @@

    Arguments

    values are permitted in these columns.

    -
    site_management_cost_column
    +
    site_management_cost_column

    character name of column in the argument to site_data that contains costs for managing each site for conservation. This column should have numeric values that @@ -134,7 +124,7 @@

    Arguments

    permitted in this column.

    -
    site_survey_scheme_column
    +
    site_survey_scheme_column

    character name of logical (TRUE / FALSE) column in the argument to site_data that indicates which sites are selected in the scheme or not. @@ -143,7 +133,7 @@

    Arguments

    argument to site_detection_columns).

    -
    site_survey_cost_column
    +
    site_survey_cost_column

    character name of column in the argument to site_data that contains costs for surveying each site. This column should have numeric values that are equal to @@ -151,7 +141,7 @@

    Arguments

    column.

    -
    feature_survey_column
    +
    feature_survey_column

    character name of the column in the argument to feature_data that contains logical (TRUE / FALSE) values indicating if the feature will be surveyed in @@ -161,7 +151,7 @@

    Arguments

    No missing (NA) values are permitted in this column.

    -
    feature_survey_sensitivity_column
    +
    feature_survey_sensitivity_column

    character name of the column in the argument to feature_data that contains probability of future surveys correctly detecting a presence of each @@ -170,7 +160,7 @@

    Arguments

    one. No missing (NA) values are permitted in this column.

    -
    feature_survey_specificity_column
    +
    feature_survey_specificity_column

    character name of the column in the argument to feature_data that contains probability of future surveys correctly detecting an absence of each @@ -179,7 +169,7 @@

    Arguments

    one. No missing (NA) values are permitted in this column.

    -
    feature_model_sensitivity_column
    +
    feature_model_sensitivity_column

    character name of the column in the argument to feature_data that contains probability of the initial models correctly predicting a presence of each @@ -191,7 +181,7 @@

    Arguments

    fit_hglm_occupancy_models().

    -
    feature_model_specificity_column
    +
    feature_model_specificity_column

    character name of the column in the argument to feature_data that contains probability of the initial models correctly predicting an absence of each @@ -203,7 +193,7 @@

    Arguments

    fit_hglm_occupancy_models().

    -
    feature_target_column
    +
    feature_target_column

    character name of the column in the argument to feature_data that contains the \(target\) values used to parametrize the conservation benefit of managing of each @@ -213,12 +203,12 @@

    Arguments

    permitted in this column.

    -
    total_budget
    +
    total_budget

    numeric maximum expenditure permitted for conducting surveys and managing sites for conservation.

    -
    site_management_locked_in_column
    +
    site_management_locked_in_column

    character name of the column in the argument to site_data that contains logical (TRUE / FALSE) values indicating which sites should @@ -229,7 +219,7 @@

    Arguments

    Defaults to NULL such that no sites are locked in.

    -
    site_management_locked_out_column
    +
    site_management_locked_out_column

    character name of the column in the argument to site_data that contains logical (TRUE / FALSE) values indicating which sites should @@ -240,7 +230,7 @@

    Arguments

    conservation. Defaults to NULL such that no sites are locked out.

    -
    prior_matrix
    +
    prior_matrix

    numeric matrix containing the prior probability of each feature occupying each site. Rows correspond to features, and columns correspond to sites. @@ -248,44 +238,42 @@

    Arguments

    using prior_probability_matrix().

    -
    n_approx_replicates
    +
    n_approx_replicates

    integer number of replicates to use for approximating the expected value calculations. Defaults to 100.

    -
    n_approx_outcomes_per_replicate
    +
    n_approx_outcomes_per_replicate

    integer number of outcomes to use per replicate for approximation calculations. Defaults to 10000.

    -
    seed
    +
    seed

    integer state of the random number generator for simulating outcomes when conducting the value of information analyses. Defaults to 500.

    -
    -

    Value

    - - -

    A numeric vector containing the expected values for each +

    +

    Value

    +

    A numeric vector containing the expected values for each replicate.

    -
    -

    Details

    +
    +

    Details

    This function uses approximation methods to estimate the expected value calculations. The accuracy of these calculations depend on the arguments to n_approx_replicates and n_approx_outcomes_per_replicate, and so you may need to increase these parameters for large problems.

    -
    -

    See also

    +
    +

    See also

    prior_probability_matrix().

    -
    -

    Examples

    +
    +

    Examples

    # set seeds for reproducibility
 set.seed(123)
 
@@ -295,17 +283,17 @@ 
    Examples
    
 #> Simple feature collection with 6 features and 13 fields
 #> Geometry type: POINT
 #> Dimension:     XY
-#> Bounding box:  xmin: 0.10513 ymin: 0.04556193 xmax: 0.9764926 ymax: 0.8637977
+#> Bounding box:  xmin: 0.02541313 ymin: 0.07851093 xmax: 0.9888107 ymax: 0.717068
 #> CRS:           NA
 #> # A tibble: 6 × 14
-#>   survey_cost management_cost    f1    f2    f3    n1    n2    n3      e1     e2
-#>         <dbl>           <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>   <dbl>  <dbl>
-#> 1          14             102     1   1       1     3     3     3  1.00   -0.848
-#> 2          25              90     0   0       0     0     0     0 -1.44    1.27 
-#> 3          25             165     1   0.6     0     5     5     5  1.25    0.817
-#> 4          17             104     0   0       0     0     0     0 -0.484  -0.292
-#> 5          18             100     0   0       0     0     0     0  0.0135  0.380
-#> 6          15              94     0   0       0     0     0     0 -0.347  -1.33 
+#>   survey_cost management_cost    f1    f2    f3    n1    n2    n3     e1     e2
+#>         <dbl>           <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>  <dbl>  <dbl>
+#> 1          19              99     0     0  0        0     0     0  1.13   0.535
+#> 2          22              87     0     1  0.25     4     4     4 -1.37  -1.45 
+#> 3          13              94     1     1  0        1     1     1  0.155 -0.867
+#> 4          19              61     0     0  0        0     0     0 -0.792  1.32 
+#> 5           9             105     0     0  0        0     0     0 -0.194  0.238
+#> 6          12             136     0     0  0        0     0     0  1.07   0.220
 #> # ℹ 4 more variables: p1 <dbl>, p2 <dbl>, p3 <dbl>, geometry <POINT>
 
 # load example feature data
@@ -314,9 +302,9 @@ 
    Examples
    
 #> # A tibble: 3 × 7
 #>   name  survey survey_sensitivity survey_specificity model_sensitivity
 #>   <chr> <lgl>               <dbl>              <dbl>             <dbl>
-#> 1 f1    TRUE                0.954              0.886             0.718
-#> 2 f2    TRUE                0.974              0.875             0.705
-#> 3 f3    TRUE                0.956              0.823             0.768
+#> 1 f1    TRUE                0.951              0.854             0.711
+#> 2 f2    TRUE                0.990              0.832             0.722
+#> 3 f3    TRUE                0.986              0.808             0.772
 #> # ℹ 2 more variables: model_specificity <dbl>, target <dbl>
 
 # set total budget for managing sites for conservation
@@ -340,30 +328,26 @@ 
    Examples
    
 
 # print mean value
 print(mean(approx_ev_survey))
-#> [1] 2.99216
+#> [1] 1.224692
    -
    - -
    +
    -
    + - - diff --git a/docs/reference/approx_near_optimal_survey_scheme.html b/docs/reference/approx_near_optimal_survey_scheme.html index 24065f1..d8b2133 100644 --- a/docs/reference/approx_near_optimal_survey_scheme.html +++ b/docs/reference/approx_near_optimal_survey_scheme.html @@ -1,67 +1,54 @@ -Approximately near optimal survey scheme — approx_near_optimal_survey_scheme • surveyvoiApproximately near optimal survey scheme — approx_near_optimal_survey_scheme • surveyvoi - - -
    -
    -
    -
    -

    Approximately near optimal survey scheme

    - Source: R/approx_near_optimal_survey_scheme.R - +
    +
    +
    +
    + +

    Approximately near optimal survey scheme

    + Source: R/approx_near_optimal_survey_scheme.R +
    approx_near_optimal_survey_scheme.Rd
    -
    +

    Find a near optimal survey scheme that maximizes value of information. This function uses the approximation method for calculating the expected value of the decision given a survey scheme, and a greedy heuristic algorithm to maximize this metric.

    -
    +
    +

    Usage

    approx_near_optimal_survey_scheme(
   site_data,
   feature_data,
@@ -90,17 +77,19 @@ 
    Approximately near optimal survey scheme
    
 )
    -
    -

    Arguments

    -
    site_data
    +
    +

    Arguments

    + + +
    site_data

    sf::sf() object with site data.

    -
    feature_data
    +
    feature_data

    base::data.frame() object with feature data.

    -
    site_detection_columns
    +
    site_detection_columns

    character names of numeric columns in the argument to site_data that contain the proportion of surveys conducted within each site that detected each feature. @@ -109,7 +98,7 @@

    Arguments

    not previously been surveyed, a value of zero should be used.

    -
    site_n_surveys_columns
    +
    site_n_surveys_columns

    character names of numeric columns in the argument to site_data that contain the total number of surveys conducted for each each feature within each site. @@ -118,7 +107,7 @@

    Arguments

    not previously been surveyed, a value of zero should be used.

    -
    site_probability_columns
    +
    site_probability_columns

    character names of numeric columns in the argument to site_data that contain modeled probabilities of occupancy for each feature in each site. @@ -127,7 +116,7 @@

    Arguments

    values are permitted in these columns.

    -
    site_management_cost_column
    +
    site_management_cost_column

    character name of column in the argument to site_data that contains costs for managing each site for conservation. This column should have numeric values that @@ -135,7 +124,7 @@

    Arguments

    permitted in this column.

    -
    site_survey_cost_column
    +
    site_survey_cost_column

    character name of column in the argument to site_data that contains costs for surveying each site. This column should have numeric values that are equal to @@ -143,7 +132,7 @@

    Arguments

    column.

    -
    feature_survey_column
    +
    feature_survey_column

    character name of the column in the argument to feature_data that contains logical (TRUE / FALSE) values indicating if the feature will be surveyed in @@ -153,7 +142,7 @@

    Arguments

    No missing (NA) values are permitted in this column.

    -
    feature_survey_sensitivity_column
    +
    feature_survey_sensitivity_column

    character name of the column in the argument to feature_data that contains probability of future surveys correctly detecting a presence of each @@ -162,7 +151,7 @@

    Arguments

    one. No missing (NA) values are permitted in this column.

    -
    feature_survey_specificity_column
    +
    feature_survey_specificity_column

    character name of the column in the argument to feature_data that contains probability of future surveys correctly detecting an absence of each @@ -171,7 +160,7 @@

    Arguments

    one. No missing (NA) values are permitted in this column.

    -
    feature_model_sensitivity_column
    +
    feature_model_sensitivity_column

    character name of the column in the argument to feature_data that contains probability of the initial models correctly predicting a presence of each @@ -183,7 +172,7 @@

    Arguments

    fit_hglm_occupancy_models().

    -
    feature_model_specificity_column
    +
    feature_model_specificity_column

    character name of the column in the argument to feature_data that contains probability of the initial models correctly predicting an absence of each @@ -195,7 +184,7 @@

    Arguments

    fit_hglm_occupancy_models().

    -
    feature_target_column
    +
    feature_target_column

    character name of the column in the argument to feature_data that contains the \(target\) values used to parametrize the conservation benefit of managing of each @@ -205,17 +194,17 @@

    Arguments

    permitted in this column.

    -
    total_budget
    +
    total_budget

    numeric maximum expenditure permitted for conducting surveys and managing sites for conservation.

    -
    survey_budget
    +
    survey_budget

    numeric maximum expenditure permitted for conducting surveys.

    -
    site_management_locked_in_column
    +
    site_management_locked_in_column

    character name of the column in the argument to site_data that contains logical (TRUE / FALSE) values indicating which sites should @@ -226,7 +215,7 @@

    Arguments

    Defaults to NULL such that no sites are locked in.

    -
    site_management_locked_out_column
    +
    site_management_locked_out_column

    character name of the column in the argument to site_data that contains logical (TRUE / FALSE) values indicating which sites should @@ -237,7 +226,7 @@

    Arguments

    conservation. Defaults to NULL such that no sites are locked out.

    -
    site_survey_locked_out_column
    +
    site_survey_locked_out_column

    character name of the column in the argument to site_data that contains logical (TRUE / FALSE) values indicating which sites should @@ -249,7 +238,7 @@

    Arguments

    Defaults to NULL such that no sites are locked out.

    -
    prior_matrix
    +
    prior_matrix

    numeric matrix containing the prior probability of each feature occupying each site. Rows correspond to features, and columns correspond to sites. @@ -257,53 +246,49 @@

    Arguments

    using prior_probability_matrix().

    -
    n_approx_replicates
    +
    n_approx_replicates

    integer number of replicates to use for approximating the expected value calculations. Defaults to 100.

    -
    n_approx_outcomes_per_replicate
    +
    n_approx_outcomes_per_replicate

    integer number of outcomes to use per replicate for approximation calculations. Defaults to 10000.

    -
    seed
    +
    seed

    integer state of the random number generator for simulating outcomes when conducting the value of information analyses. Defaults to 500.

    -
    n_threads
    +
    n_threads

    integer number of threads to use for computation.

    -
    verbose
    +
    verbose

    logical indicating if information should be printed during processing. Defaults to FALSE.

    -
    -

    Value

    - - -

    A matrix of logical (TRUE/ FALSE) +

    +

    Value

    +

    A matrix of logical (TRUE/ FALSE) values indicating if a site is selected in the scheme or not. Columns correspond to sites, and rows correspond to different schemes. If there -are no ties for the best identified solution, then the the matrix

    - - -

    will only contain a single row.

    +are no ties for the best identified solution, then the the matrix +will only contain a single row.

    -
    -

    Details

    +
    +

    Details

    Ideally, the brute-force algorithm would be used to identify the optimal survey scheme. Unfortunately, it is not feasible to apply the brute-force to large problems because it can take an incredibly long time to complete. In such cases, it may be desirable to obtain a "relatively good" survey scheme and the greedy heuristic algorithm is provided for such cases. -The greedy heuristic algorithm -- unlike the brute force algorithm -- -is not guaranteed to identify an optimal solution -- or even a "relatively -good solution" for that matter -- though greedy heuristic algorithms tend to +The greedy heuristic algorithm – unlike the brute force algorithm – +is not guaranteed to identify an optimal solution – or even a "relatively +good solution" for that matter – though greedy heuristic algorithms tend to deliver solutions that are 15\ greedy algorithms is implemented as:

    1. Initialize an empty list of survey scheme solutions, and an @@ -324,7 +309,7 @@

      Details

      management costs of locked in planning units exceeds the total budget, then a store a missing value NA value too.

    2. If all of the new candidate survey schemes are associated with -missing NA values -- because they all exceed the survey budget -- then +missing NA values – because they all exceed the survey budget – then go to step 12.

    3. Calculate the cost effectiveness of each new candidate survey scheme. This calculated as the difference between the approximate expected @@ -344,8 +329,8 @@

      Details

      list of approximate expected values and return this solution.

    -
    -

    Examples

    +
    +

    Examples

    # set seeds for reproducibility
 set.seed(123)
 
@@ -355,17 +340,17 @@ 
    Examples
    
 #> Simple feature collection with 6 features and 13 fields
 #> Geometry type: POINT
 #> Dimension:     XY
-#> Bounding box:  xmin: 0.10513 ymin: 0.04556193 xmax: 0.9764926 ymax: 0.8637977
+#> Bounding box:  xmin: 0.02541313 ymin: 0.07851093 xmax: 0.9888107 ymax: 0.717068
 #> CRS:           NA
 #> # A tibble: 6 × 14
-#>   survey_cost management_cost    f1    f2    f3    n1    n2    n3      e1     e2
-#>         <dbl>           <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>   <dbl>  <dbl>
-#> 1          14             102     1   1       1     3     3     3  1.00   -0.848
-#> 2          25              90     0   0       0     0     0     0 -1.44    1.27 
-#> 3          25             165     1   0.6     0     5     5     5  1.25    0.817
-#> 4          17             104     0   0       0     0     0     0 -0.484  -0.292
-#> 5          18             100     0   0       0     0     0     0  0.0135  0.380
-#> 6          15              94     0   0       0     0     0     0 -0.347  -1.33 
+#>   survey_cost management_cost    f1    f2    f3    n1    n2    n3     e1     e2
+#>         <dbl>           <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>  <dbl>  <dbl>
+#> 1          19              99     0     0  0        0     0     0  1.13   0.535
+#> 2          22              87     0     1  0.25     4     4     4 -1.37  -1.45 
+#> 3          13              94     1     1  0        1     1     1  0.155 -0.867
+#> 4          19              61     0     0  0        0     0     0 -0.792  1.32 
+#> 5           9             105     0     0  0        0     0     0 -0.194  0.238
+#> 6          12             136     0     0  0        0     0     0  1.07   0.220
 #> # ℹ 4 more variables: p1 <dbl>, p2 <dbl>, p3 <dbl>, geometry <POINT>
 
 # load example feature data
@@ -374,9 +359,9 @@ 
    Examples
    
 #> # A tibble: 3 × 7
 #>   name  survey survey_sensitivity survey_specificity model_sensitivity
 #>   <chr> <lgl>               <dbl>              <dbl>             <dbl>
-#> 1 f1    TRUE                0.954              0.886             0.718
-#> 2 f2    TRUE                0.974              0.875             0.705
-#> 3 f3    TRUE                0.956              0.823             0.768
+#> 1 f1    TRUE                0.951              0.854             0.711
+#> 2 f2    TRUE                0.990              0.832             0.722
+#> 3 f3    TRUE                0.986              0.808             0.772
 #> # ℹ 2 more variables: model_specificity <dbl>, target <dbl>
 
 # set total budget for managing sites for conservation
@@ -399,35 +384,30 @@ 
    Examples
    
 
 # print result
 print(approx_near_optimal_survey)
-#>       [,1]  [,2]  [,3]  [,4]  [,5]  [,6]
-#> [1,] FALSE FALSE FALSE FALSE FALSE FALSE
-#> [2,] FALSE FALSE FALSE FALSE FALSE  TRUE
-#> [3,] FALSE FALSE FALSE  TRUE FALSE  TRUE
+#>       [,1]  [,2]  [,3]  [,4] [,5]  [,6]
+#> [1,] FALSE FALSE FALSE FALSE TRUE FALSE
+#> [2,] FALSE FALSE FALSE FALSE TRUE  TRUE
 #> attr(,"ev")
-#> [1] 2.998167 2.998167 2.998167
+#> [1] 1.771926 1.771926
    -
    - -
    +
    -
    + - - diff --git a/docs/reference/approx_optimal_survey_scheme.html b/docs/reference/approx_optimal_survey_scheme.html index 959cf79..e9b19ec 100644 --- a/docs/reference/approx_optimal_survey_scheme.html +++ b/docs/reference/approx_optimal_survey_scheme.html @@ -1,65 +1,51 @@ -Approximately optimal survey scheme — approx_optimal_survey_scheme • surveyvoiApproximately optimal survey scheme — approx_optimal_survey_scheme • surveyvoi - - -
    -
    -
    -
    -

    Approximately optimal survey scheme

    - Source: R/approx_optimal_survey_scheme.R - +

    Approximately optimal survey scheme

    + Source: R/approx_optimal_survey_scheme.R +
    approx_optimal_survey_scheme.Rd
    -
    +

    Find the optimal survey scheme that maximizes value of information. This function uses the approximation method for calculating the expected value of the decision given a survey scheme.

    -
    +
    +

    Usage

    approx_optimal_survey_scheme(
   site_data,
   feature_data,
@@ -88,17 +74,19 @@ 
    Approximately optimal survey scheme
    
 )
    -
    -

    Arguments

    -
    site_data
    +
    +

    Arguments

    + + +
    site_data

    sf::sf() object with site data.

    -
    feature_data
    +
    feature_data

    base::data.frame() object with feature data.

    -
    site_detection_columns
    +
    site_detection_columns

    character names of numeric columns in the argument to site_data that contain the proportion of surveys conducted within each site that detected each feature. @@ -107,7 +95,7 @@

    Arguments

    not previously been surveyed, a value of zero should be used.

    -
    site_n_surveys_columns
    +
    site_n_surveys_columns

    character names of numeric columns in the argument to site_data that contain the total number of surveys conducted for each each feature within each site. @@ -116,7 +104,7 @@

    Arguments

    not previously been surveyed, a value of zero should be used.

    -
    site_probability_columns
    +
    site_probability_columns

    character names of numeric columns in the argument to site_data that contain modeled probabilities of occupancy for each feature in each site. @@ -125,7 +113,7 @@

    Arguments

    values are permitted in these columns.

    -
    site_management_cost_column
    +
    site_management_cost_column

    character name of column in the argument to site_data that contains costs for managing each site for conservation. This column should have numeric values that @@ -133,7 +121,7 @@

    Arguments

    permitted in this column.

    -
    site_survey_cost_column
    +
    site_survey_cost_column

    character name of column in the argument to site_data that contains costs for surveying each site. This column should have numeric values that are equal to @@ -141,7 +129,7 @@

    Arguments

    column.

    -
    feature_survey_column
    +
    feature_survey_column

    character name of the column in the argument to feature_data that contains logical (TRUE / FALSE) values indicating if the feature will be surveyed in @@ -151,7 +139,7 @@

    Arguments

    No missing (NA) values are permitted in this column.

    -
    feature_survey_sensitivity_column
    +
    feature_survey_sensitivity_column

    character name of the column in the argument to feature_data that contains probability of future surveys correctly detecting a presence of each @@ -160,7 +148,7 @@

    Arguments

    one. No missing (NA) values are permitted in this column.

    -
    feature_survey_specificity_column
    +
    feature_survey_specificity_column

    character name of the column in the argument to feature_data that contains probability of future surveys correctly detecting an absence of each @@ -169,7 +157,7 @@

    Arguments

    one. No missing (NA) values are permitted in this column.

    -
    feature_model_sensitivity_column
    +
    feature_model_sensitivity_column

    character name of the column in the argument to feature_data that contains probability of the initial models correctly predicting a presence of each @@ -181,7 +169,7 @@

    Arguments

    fit_hglm_occupancy_models().

    -
    feature_model_specificity_column
    +
    feature_model_specificity_column

    character name of the column in the argument to feature_data that contains probability of the initial models correctly predicting an absence of each @@ -193,7 +181,7 @@

    Arguments

    fit_hglm_occupancy_models().

    -
    feature_target_column
    +
    feature_target_column

    character name of the column in the argument to feature_data that contains the \(target\) values used to parametrize the conservation benefit of managing of each @@ -203,17 +191,17 @@

    Arguments

    permitted in this column.

    -
    total_budget
    +
    total_budget

    numeric maximum expenditure permitted for conducting surveys and managing sites for conservation.

    -
    survey_budget
    +
    survey_budget

    numeric maximum expenditure permitted for conducting surveys.

    -
    site_management_locked_in_column
    +
    site_management_locked_in_column

    character name of the column in the argument to site_data that contains logical (TRUE / FALSE) values indicating which sites should @@ -224,7 +212,7 @@

    Arguments

    Defaults to NULL such that no sites are locked in.

    -
    site_management_locked_out_column
    +
    site_management_locked_out_column

    character name of the column in the argument to site_data that contains logical (TRUE / FALSE) values indicating which sites should @@ -235,7 +223,7 @@

    Arguments

    conservation. Defaults to NULL such that no sites are locked out.

    -
    site_survey_locked_out_column
    +
    site_survey_locked_out_column

    character name of the column in the argument to site_data that contains logical (TRUE / FALSE) values indicating which sites should @@ -247,7 +235,7 @@

    Arguments

    Defaults to NULL such that no sites are locked out.

    -
    prior_matrix
    +
    prior_matrix

    numeric matrix containing the prior probability of each feature occupying each site. Rows correspond to features, and columns correspond to sites. @@ -255,53 +243,45 @@

    Arguments

    using prior_probability_matrix().

    -
    n_approx_replicates
    +
    n_approx_replicates

    integer number of replicates to use for approximating the expected value calculations. Defaults to 100.

    -
    n_approx_outcomes_per_replicate
    +
    n_approx_outcomes_per_replicate

    integer number of outcomes to use per replicate for approximation calculations. Defaults to 10000.

    -
    seed
    +
    seed

    integer state of the random number generator for simulating outcomes when conducting the value of information analyses. Defaults to 500.

    -
    n_threads
    +
    n_threads

    integer number of threads to use for computation.

    -
    verbose
    +
    verbose

    logical indicating if information should be printed during processing. Defaults to FALSE.

    -
    -

    Value

    - - -

    A matrix of logical (TRUE/ FALSE) +

    +

    Value

    +

    A matrix of logical (TRUE/ FALSE) values indicating if a site is selected in the scheme or not. Columns correspond to sites, and rows correspond to different schemes. If there is only one optimal survey scheme then the matrix will only contain a single row.

    - - -

    This matrix also has a numeric

    -

    -

    "ev"

    - - -

    attribute that contains a matrix with the approximate expected values. +

    This matrix also has a numeric "ev" +attribute that contains a matrix with the approximate expected values. Within this attribute, each row corresponds to a different survey scheme and each column corresponds to a different replicate.

    -
    -

    Details

    +
    +

    Details

    The "approximately" optimal survey scheme is determined using a brute-force algorithm. Initially, all feasible (valid) survey schemes are identified given the @@ -313,9 +293,9 @@

    Details

    that share this greatest expected value are returned. Due to the nature of this algorithm, it can take a very long time to complete.

    -
    -

    Dependencies

    - +
    +

    Dependencies

    +

    Please note that this function requires the Gurobi optimization software (https://www.gurobi.com/) and the gurobi R package if different @@ -324,8 +304,8 @@

    Dependencies

    (see https://support.gurobi.com/hc/en-us/articles/4534161999889-How-do-I-install-Gurobi-Optimizer).

    -
    -

    Examples

    +
    +

    Examples

    # set seeds for reproducibility
 set.seed(123)
 
@@ -335,17 +315,17 @@ 
    Examples
    
 #> Simple feature collection with 6 features and 13 fields
 #> Geometry type: POINT
 #> Dimension:     XY
-#> Bounding box:  xmin: 0.10513 ymin: 0.04556193 xmax: 0.9764926 ymax: 0.8637977
+#> Bounding box:  xmin: 0.02541313 ymin: 0.07851093 xmax: 0.9888107 ymax: 0.717068
 #> CRS:           NA
 #> # A tibble: 6 × 14
-#>   survey_cost management_cost    f1    f2    f3    n1    n2    n3      e1     e2
-#>         <dbl>           <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>   <dbl>  <dbl>
-#> 1          14             102     1   1       1     3     3     3  1.00   -0.848
-#> 2          25              90     0   0       0     0     0     0 -1.44    1.27 
-#> 3          25             165     1   0.6     0     5     5     5  1.25    0.817
-#> 4          17             104     0   0       0     0     0     0 -0.484  -0.292
-#> 5          18             100     0   0       0     0     0     0  0.0135  0.380
-#> 6          15              94     0   0       0     0     0     0 -0.347  -1.33 
+#>   survey_cost management_cost    f1    f2    f3    n1    n2    n3     e1     e2
+#>         <dbl>           <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>  <dbl>  <dbl>
+#> 1          19              99     0     0  0        0     0     0  1.13   0.535
+#> 2          22              87     0     1  0.25     4     4     4 -1.37  -1.45 
+#> 3          13              94     1     1  0        1     1     1  0.155 -0.867
+#> 4          19              61     0     0  0        0     0     0 -0.792  1.32 
+#> 5           9             105     0     0  0        0     0     0 -0.194  0.238
+#> 6          12             136     0     0  0        0     0     0  1.07   0.220
 #> # ℹ 4 more variables: p1 <dbl>, p2 <dbl>, p3 <dbl>, geometry <POINT>
 
 # load example feature data
@@ -354,9 +334,9 @@ 
    Examples
    
 #> # A tibble: 3 × 7
 #>   name  survey survey_sensitivity survey_specificity model_sensitivity
 #>   <chr> <lgl>               <dbl>              <dbl>             <dbl>
-#> 1 f1    TRUE                0.954              0.886             0.718
-#> 2 f2    TRUE                0.974              0.875             0.705
-#> 3 f3    TRUE                0.956              0.823             0.768
+#> 1 f1    TRUE                0.951              0.854             0.711
+#> 2 f2    TRUE                0.990              0.832             0.722
+#> 3 f3    TRUE                0.986              0.808             0.772
 #> # ℹ 2 more variables: model_specificity <dbl>, target <dbl>
 
 # set total budget for managing sites for conservation
@@ -383,56 +363,46 @@ 
    Examples
    
 #>       [,1]  [,2]  [,3]  [,4]  [,5]  [,6]
 #> [1,] FALSE FALSE FALSE FALSE FALSE FALSE
 #> attr(,"ev")
-#>          [,1]     [,2]     [,3]     [,4]     [,5]     [,6]     [,7]     [,8]
-#> [1,] 2.998167 2.998167 2.998167 2.998167 2.998167 2.998167 2.998167 2.998167
-#>          [,9]    [,10]    [,11]    [,12]    [,13]    [,14]    [,15]    [,16]
-#> [1,] 2.998167 2.998167 2.998167 2.998167 2.998167 2.998167 2.998167 2.998167
-#>         [,17]    [,18]    [,19]    [,20]    [,21]    [,22]    [,23]    [,24]
-#> [1,] 2.998167 2.998167 2.998167 2.998167 2.998167 2.998167 2.998167 2.998167
-#>         [,25]    [,26]    [,27]    [,28]    [,29]    [,30]    [,31]    [,32]
-#> [1,] 2.998167 2.998167 2.998167 2.998167 2.998167 2.998167 2.998167 2.998167
-#>         [,33]    [,34]    [,35]    [,36]    [,37]    [,38]    [,39]    [,40]
-#> [1,] 2.998167 2.998167 2.998167 2.998167 2.998167 2.998167 2.998167 2.998167
-#>         [,41]    [,42]    [,43]    [,44]    [,45]    [,46]    [,47]    [,48]
-#> [1,] 2.998167 2.998167 2.998167 2.998167 2.998167 2.998167 2.998167 2.998167
-#>         [,49]    [,50]    [,51]    [,52]    [,53]    [,54]    [,55]    [,56]
-#> [1,] 2.998167 2.998167 2.998167 2.998167 2.998167 2.998167 2.998167 2.998167
-#>         [,57]    [,58]    [,59]    [,60]    [,61]    [,62]    [,63]    [,64]
-#> [1,] 2.998167 2.998167 2.998167 2.998167 2.998167 2.998167 2.998167 2.998167
-#>         [,65]    [,66]    [,67]    [,68]    [,69]    [,70]    [,71]    [,72]
-#> [1,] 2.998167 2.998167 2.998167 2.998167 2.998167 2.998167 2.998167 2.998167
-#>         [,73]    [,74]    [,75]    [,76]    [,77]    [,78]    [,79]    [,80]
-#> [1,] 2.998167 2.998167 2.998167 2.998167 2.998167 2.998167 2.998167 2.998167
-#>         [,81]    [,82]    [,83]    [,84]    [,85]    [,86]    [,87]    [,88]
-#> [1,] 2.998167 2.998167 2.998167 2.998167 2.998167 2.998167 2.998167 2.998167
-#>         [,89]    [,90]    [,91]    [,92]    [,93]    [,94]    [,95]    [,96]
-#> [1,] 2.998167 2.998167 2.998167 2.998167 2.998167 2.998167 2.998167 2.998167
-#>         [,97]    [,98]    [,99]   [,100]
-#> [1,] 2.998167 2.998167 2.998167 2.998167
+#>        [,1]   [,2]   [,3]   [,4]   [,5]   [,6]   [,7]   [,8]   [,9]  [,10]
+#> [1,] 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165
+#>       [,11]  [,12]  [,13]  [,14]  [,15]  [,16]  [,17]  [,18]  [,19]  [,20]
+#> [1,] 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165
+#>       [,21]  [,22]  [,23]  [,24]  [,25]  [,26]  [,27]  [,28]  [,29]  [,30]
+#> [1,] 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165
+#>       [,31]  [,32]  [,33]  [,34]  [,35]  [,36]  [,37]  [,38]  [,39]  [,40]
+#> [1,] 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165
+#>       [,41]  [,42]  [,43]  [,44]  [,45]  [,46]  [,47]  [,48]  [,49]  [,50]
+#> [1,] 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165
+#>       [,51]  [,52]  [,53]  [,54]  [,55]  [,56]  [,57]  [,58]  [,59]  [,60]
+#> [1,] 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165
+#>       [,61]  [,62]  [,63]  [,64]  [,65]  [,66]  [,67]  [,68]  [,69]  [,70]
+#> [1,] 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165
+#>       [,71]  [,72]  [,73]  [,74]  [,75]  [,76]  [,77]  [,78]  [,79]  [,80]
+#> [1,] 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165
+#>       [,81]  [,82]  [,83]  [,84]  [,85]  [,86]  [,87]  [,88]  [,89]  [,90]
+#> [1,] 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165
+#>       [,91]  [,92]  [,93]  [,94]  [,95]  [,96]  [,97]  [,98]  [,99] [,100]
+#> [1,] 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165
 # }
    -
    - -
    +
    -
    + - - diff --git a/docs/reference/env_div_survey_scheme.html b/docs/reference/env_div_survey_scheme.html index fb21c9b..304eb23 100644 --- a/docs/reference/env_div_survey_scheme.html +++ b/docs/reference/env_div_survey_scheme.html @@ -1,63 +1,48 @@ -Environmental diversity survey scheme — env_div_survey_scheme • surveyvoi - - -
    -
    -
    -
    -

    Environmental diversity survey scheme

    - Source: R/env_div_survey_scheme.R - +
    +
    +
    +
    + +

    Environmental diversity survey scheme

    + Source: R/env_div_survey_scheme.R +
    env_div_survey_scheme.Rd
    -
    +

    Generate a survey scheme by maximizing the diversity of environmental conditions that are surveyed.

    -
    +
    +

    Usage

    env_div_survey_scheme(
   site_data,
   cost_column,
@@ -72,31 +57,33 @@ 
    Environmental diversity survey scheme
    
 )
    -
    -

    Arguments

    -
    site_data
    +
    +

    Arguments

    + + +
    site_data

    sf::sf() object containing the candidate survey sites.

    -
    cost_column
    +
    cost_column

    character name of the column in the argument to the argument to site_data that contains the cost for surveying each site. No missing (NA) values are permitted.

    -
    survey_budget
    +
    survey_budget

    numeric vector of maximum budgets for the survey schemes. No missing (NA) values are permitted.

    -
    env_vars_columns
    +
    env_vars_columns

    character vector names of the columns in the argument to site_data that contain numeric environmental variables. No missing (NA) values are permitted.

    -
    method
    +
    method

    character name of the distance metric to use for calculating environmental dissimilarity scores. See vegan::vegdist() documentation the method parameter @@ -105,7 +92,7 @@

    Arguments

    Defaults to "mahalanobis" for Mahalanobis distances.

    -
    locked_in_column
    +
    locked_in_column

    character (optional) name of the column in the argument to site_data that contains logical (TRUE/ FALSE) values indicating if certain sites should be @@ -114,7 +101,7 @@

    Arguments

    Defaults to NULL such that no sites are locked in.

    -
    locked_out_column
    +
    locked_out_column

    character (optional) name of the column in the argument to site_data that contains logical (TRUE/ FALSE) values indicating if certain sites should be @@ -123,13 +110,13 @@

    Arguments

    Defaults to NULL such that no sites are locked out.

    -
    exclude_locked_out
    +
    exclude_locked_out

    logical should locked out planning units be entirely excluded from the optimization process? Defaults to FALSE.

    -
    solver
    +
    solver

    character name of the optimization solver to use for generating survey schemes. Available options include: "Rsymphony", "gurobi" and "auto". @@ -139,28 +126,26 @@

    Arguments

    Defaults to "auto".

    -
    verbose
    +
    verbose

    logical indicating if information should be printed while generating survey scheme(s). Defaults to FALSE.

    -
    -

    Value

    - - -

    A matrix of logical (TRUE/ FALSE) +

    +

    Value

    +

    A matrix of logical (TRUE/ FALSE) values indicating if a site is selected in a scheme or not. Columns correspond to sites, and rows correspond to different schemes.

    -
    -

    Details

    +
    +

    Details

    The integer programming formulation of the environmental diversity reserve selection problem (Faith & Walker 1996) is used to generate survey schemes.

    -
    -

    Solver

    - +
    +

    Solver

    +

    This function can use the Rsymphony package and the Gurobi optimization software to generate @@ -172,15 +157,15 @@

    Solver

    Note that special academic licenses are available at no cost. Installation instructions are available online for Linux, Windows, and Mac OS operating systems.

    -
    -

    References

    +
    +

    References

    Faith DP & Walker PA (1996) Environmental diversity: on the best-possible use of surrogate data for assessing the relative biodiversity of sets of -areas. Biodiversity & Conservation, 5, 399--415.

    +areas. Biodiversity & Conservation, 5, 399–415.

    -
    -

    Examples

    +
    +

    Examples

    # set seed for reproducibility
 set.seed(123)
 
@@ -210,27 +195,23 @@ 
    Examples
    -
    - -
    +
    -
    + - - diff --git a/docs/reference/evdci.html b/docs/reference/evdci.html index cb8e5fb..4cec3d7 100644 --- a/docs/reference/evdci.html +++ b/docs/reference/evdci.html @@ -1,67 +1,54 @@ -Expected value of the decision given current information — evdci • surveyvoiExpected value of the decision given current information — evdci • surveyvoi - - -
    -
    -
    -
    -

    Expected value of the decision given current information

    - Source: R/evdci.R - + +
    +
    +
    +
    + +

    Expected value of the decision given current information

    + Source: R/evdci.R +
    evdci.Rd
    -
    +

    Calculate the expected value of the management decision given current information. This metric describes the value of the management decision that is expected when the decision maker is limited to existing biodiversity data (i.e. survey data and environmental niche models).

    -
    +
    +

    Usage

    evdci(
   site_data,
   feature_data,
@@ -81,17 +68,19 @@ 
    Expected value of the decision given current information
    
 )
    -
    -

    Arguments

    -
    site_data
    +
    +

    Arguments

    + + +
    site_data

    sf::sf() object with site data.

    -
    feature_data
    +
    feature_data

    base::data.frame() object with feature data.

    -
    site_detection_columns
    +
    site_detection_columns

    character names of numeric columns in the argument to site_data that contain the proportion of surveys conducted within each site that detected each feature. @@ -100,7 +89,7 @@

    Arguments

    not previously been surveyed, a value of zero should be used.

    -
    site_n_surveys_columns
    +
    site_n_surveys_columns

    character names of numeric columns in the argument to site_data that contain the total number of surveys conducted for each each feature within each site. @@ -109,7 +98,7 @@

    Arguments

    not previously been surveyed, a value of zero should be used.

    -
    site_probability_columns
    +
    site_probability_columns

    character names of numeric columns in the argument to site_data that contain modeled probabilities of occupancy for each feature in each site. @@ -118,7 +107,7 @@

    Arguments

    values are permitted in these columns.

    -
    site_management_cost_column
    +
    site_management_cost_column

    character name of column in the argument to site_data that contains costs for managing each site for conservation. This column should have numeric values that @@ -126,7 +115,7 @@

    Arguments

    permitted in this column.

    -
    feature_survey_sensitivity_column
    +
    feature_survey_sensitivity_column

    character name of the column in the argument to feature_data that contains probability of future surveys correctly detecting a presence of each @@ -135,7 +124,7 @@

    Arguments

    one. No missing (NA) values are permitted in this column.

    -
    feature_survey_specificity_column
    +
    feature_survey_specificity_column

    character name of the column in the argument to feature_data that contains probability of future surveys correctly detecting an absence of each @@ -144,7 +133,7 @@

    Arguments

    one. No missing (NA) values are permitted in this column.

    -
    feature_model_sensitivity_column
    +
    feature_model_sensitivity_column

    character name of the column in the argument to feature_data that contains probability of the initial models correctly predicting a presence of each @@ -156,7 +145,7 @@

    Arguments

    fit_hglm_occupancy_models().

    -
    feature_model_specificity_column
    +
    feature_model_specificity_column

    character name of the column in the argument to feature_data that contains probability of the initial models correctly predicting an absence of each @@ -168,7 +157,7 @@

    Arguments

    fit_hglm_occupancy_models().

    -
    feature_target_column
    +
    feature_target_column

    character name of the column in the argument to feature_data that contains the \(target\) values used to parametrize the conservation benefit of managing of each @@ -178,12 +167,12 @@

    Arguments

    permitted in this column.

    -
    total_budget
    +
    total_budget

    numeric maximum expenditure permitted for conducting surveys and managing sites for conservation.

    -
    site_management_locked_in_column
    +
    site_management_locked_in_column

    character name of the column in the argument to site_data that contains logical (TRUE / FALSE) values indicating which sites should @@ -194,7 +183,7 @@

    Arguments

    Defaults to NULL such that no sites are locked in.

    -
    site_management_locked_out_column
    +
    site_management_locked_out_column

    character name of the column in the argument to site_data that contains logical (TRUE / FALSE) values indicating which sites should @@ -205,7 +194,7 @@

    Arguments

    conservation. Defaults to NULL such that no sites are locked out.

    -
    prior_matrix
    +
    prior_matrix

    numeric matrix containing the prior probability of each feature occupying each site. Rows correspond to features, and columns correspond to sites. @@ -213,25 +202,23 @@

    Arguments

    using prior_probability_matrix().

    -
    -

    Value

    - - -

    A numeric value.

    +
    +

    Value

    +

    A numeric value.

    -
    -

    Details

    +
    +

    Details

    This function calculates the expected value and does not use approximation methods. As such, this function can only be applied to very small problems.

    -
    -

    See also

    +
    +

    See also

    prior_probability_matrix().

    -
    -

    Examples

    +
    +

    Examples

    # set seeds for reproducibility
 set.seed(123)
 
@@ -241,17 +228,17 @@ 
    Examples
    
 #> Simple feature collection with 6 features and 13 fields
 #> Geometry type: POINT
 #> Dimension:     XY
-#> Bounding box:  xmin: 0.10513 ymin: 0.04556193 xmax: 0.9764926 ymax: 0.8637977
+#> Bounding box:  xmin: 0.02541313 ymin: 0.07851093 xmax: 0.9888107 ymax: 0.717068
 #> CRS:           NA
 #> # A tibble: 6 × 14
-#>   survey_cost management_cost    f1    f2    f3    n1    n2    n3      e1     e2
-#>         <dbl>           <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>   <dbl>  <dbl>
-#> 1          14             102     1   1       1     3     3     3  1.00   -0.848
-#> 2          25              90     0   0       0     0     0     0 -1.44    1.27 
-#> 3          25             165     1   0.6     0     5     5     5  1.25    0.817
-#> 4          17             104     0   0       0     0     0     0 -0.484  -0.292
-#> 5          18             100     0   0       0     0     0     0  0.0135  0.380
-#> 6          15              94     0   0       0     0     0     0 -0.347  -1.33 
+#>   survey_cost management_cost    f1    f2    f3    n1    n2    n3     e1     e2
+#>         <dbl>           <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>  <dbl>  <dbl>
+#> 1          19              99     0     0  0        0     0     0  1.13   0.535
+#> 2          22              87     0     1  0.25     4     4     4 -1.37  -1.45 
+#> 3          13              94     1     1  0        1     1     1  0.155 -0.867
+#> 4          19              61     0     0  0        0     0     0 -0.792  1.32 
+#> 5           9             105     0     0  0        0     0     0 -0.194  0.238
+#> 6          12             136     0     0  0        0     0     0  1.07   0.220
 #> # ℹ 4 more variables: p1 <dbl>, p2 <dbl>, p3 <dbl>, geometry <POINT>
 
 # load example feature data
@@ -260,9 +247,9 @@ 
    Examples
    
 #> # A tibble: 3 × 7
 #>   name  survey survey_sensitivity survey_specificity model_sensitivity
 #>   <chr> <lgl>               <dbl>              <dbl>             <dbl>
-#> 1 f1    TRUE                0.954              0.886             0.718
-#> 2 f2    TRUE                0.974              0.875             0.705
-#> 3 f3    TRUE                0.956              0.823             0.768
+#> 1 f1    TRUE                0.951              0.854             0.711
+#> 2 f2    TRUE                0.990              0.832             0.722
+#> 3 f3    TRUE                0.986              0.808             0.772
 #> # ℹ 2 more variables: model_specificity <dbl>, target <dbl>
 
 # set total budget for managing sites for conservation
@@ -280,30 +267,26 @@ 
    Examples
    
 
 # print exact value
 print(ev_current)
-#> [1] 2.998167
+#> [1] 1.7165
    -
    - -
    +
    -
    + - - diff --git a/docs/reference/evdsi.html b/docs/reference/evdsi.html index 99e32ff..59dd894 100644 --- a/docs/reference/evdsi.html +++ b/docs/reference/evdsi.html @@ -1,67 +1,54 @@ -Expected value of the decision given survey information — evdsi • surveyvoiExpected value of the decision given survey information — evdsi • surveyvoi - - -
    -
    -
    -
    -

    Expected value of the decision given survey information

    - Source: R/evdsi.R - + +
    +
    +
    +
    + +

    Expected value of the decision given survey information

    + Source: R/evdsi.R +
    evdsi.Rd
    -
    +

    Calculate the expected value of the management decision given survey information. This metric describes the value of the management decision that is expected when the decision maker surveys a set of sites to help inform the decision.

    -
    +
    +

    Usage

    evdsi(
   site_data,
   feature_data,
@@ -84,17 +71,19 @@ 
    Expected value of the decision given survey information
    
 )
    -
    -

    Arguments

    -
    site_data
    +
    +

    Arguments

    + + +
    site_data

    sf::sf() object with site data.

    -
    feature_data
    +
    feature_data

    base::data.frame() object with feature data.

    -
    site_detection_columns
    +
    site_detection_columns

    character names of numeric columns in the argument to site_data that contain the proportion of surveys conducted within each site that detected each feature. @@ -103,7 +92,7 @@

    Arguments

    not previously been surveyed, a value of zero should be used.

    -
    site_n_surveys_columns
    +
    site_n_surveys_columns

    character names of numeric columns in the argument to site_data that contain the total number of surveys conducted for each each feature within each site. @@ -112,7 +101,7 @@

    Arguments

    not previously been surveyed, a value of zero should be used.

    -
    site_probability_columns
    +
    site_probability_columns

    character names of numeric columns in the argument to site_data that contain modeled probabilities of occupancy for each feature in each site. @@ -121,7 +110,7 @@

    Arguments

    values are permitted in these columns.

    -
    site_management_cost_column
    +
    site_management_cost_column

    character name of column in the argument to site_data that contains costs for managing each site for conservation. This column should have numeric values that @@ -129,7 +118,7 @@

    Arguments

    permitted in this column.

    -
    site_survey_scheme_column
    +
    site_survey_scheme_column

    character name of logical (TRUE / FALSE) column in the argument to site_data that indicates which sites are selected in the scheme or not. @@ -138,7 +127,7 @@

    Arguments

    argument to site_detection_columns).

    -
    site_survey_cost_column
    +
    site_survey_cost_column

    character name of column in the argument to site_data that contains costs for surveying each site. This column should have numeric values that are equal to @@ -146,7 +135,7 @@

    Arguments

    column.

    -
    feature_survey_column
    +
    feature_survey_column

    character name of the column in the argument to feature_data that contains logical (TRUE / FALSE) values indicating if the feature will be surveyed in @@ -156,7 +145,7 @@

    Arguments

    No missing (NA) values are permitted in this column.

    -
    feature_survey_sensitivity_column
    +
    feature_survey_sensitivity_column

    character name of the column in the argument to feature_data that contains probability of future surveys correctly detecting a presence of each @@ -165,7 +154,7 @@

    Arguments

    one. No missing (NA) values are permitted in this column.

    -
    feature_survey_specificity_column
    +
    feature_survey_specificity_column

    character name of the column in the argument to feature_data that contains probability of future surveys correctly detecting an absence of each @@ -174,7 +163,7 @@

    Arguments

    one. No missing (NA) values are permitted in this column.

    -
    feature_model_sensitivity_column
    +
    feature_model_sensitivity_column

    character name of the column in the argument to feature_data that contains probability of the initial models correctly predicting a presence of each @@ -186,7 +175,7 @@

    Arguments

    fit_hglm_occupancy_models().

    -
    feature_model_specificity_column
    +
    feature_model_specificity_column

    character name of the column in the argument to feature_data that contains probability of the initial models correctly predicting an absence of each @@ -198,7 +187,7 @@

    Arguments

    fit_hglm_occupancy_models().

    -
    feature_target_column
    +
    feature_target_column

    character name of the column in the argument to feature_data that contains the \(target\) values used to parametrize the conservation benefit of managing of each @@ -208,12 +197,12 @@

    Arguments

    permitted in this column.

    -
    total_budget
    +
    total_budget

    numeric maximum expenditure permitted for conducting surveys and managing sites for conservation.

    -
    site_management_locked_in_column
    +
    site_management_locked_in_column

    character name of the column in the argument to site_data that contains logical (TRUE / FALSE) values indicating which sites should @@ -224,7 +213,7 @@

    Arguments

    Defaults to NULL such that no sites are locked in.

    -
    site_management_locked_out_column
    +
    site_management_locked_out_column

    character name of the column in the argument to site_data that contains logical (TRUE / FALSE) values indicating which sites should @@ -235,7 +224,7 @@

    Arguments

    conservation. Defaults to NULL such that no sites are locked out.

    -
    prior_matrix
    +
    prior_matrix

    numeric matrix containing the prior probability of each feature occupying each site. Rows correspond to features, and columns correspond to sites. @@ -243,25 +232,23 @@

    Arguments

    using prior_probability_matrix().

    -
    -

    Value

    - - -

    A numeric value.

    +
    +

    Value

    +

    A numeric value.

    -
    -

    Details

    +
    +

    Details

    This function calculates the expected value and does not use approximation methods. As such, this function can only be applied to very small problems.

    -
    -

    See also

    +
    +

    See also

    prior_probability_matrix().

    -
    -

    Examples

    +
    +

    Examples

    # set seeds for reproducibility
 set.seed(123)
 
@@ -271,17 +258,17 @@ 
    Examples
    
 #> Simple feature collection with 6 features and 13 fields
 #> Geometry type: POINT
 #> Dimension:     XY
-#> Bounding box:  xmin: 0.10513 ymin: 0.04556193 xmax: 0.9764926 ymax: 0.8637977
+#> Bounding box:  xmin: 0.02541313 ymin: 0.07851093 xmax: 0.9888107 ymax: 0.717068
 #> CRS:           NA
 #> # A tibble: 6 × 14
-#>   survey_cost management_cost    f1    f2    f3    n1    n2    n3      e1     e2
-#>         <dbl>           <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>   <dbl>  <dbl>
-#> 1          14             102     1   1       1     3     3     3  1.00   -0.848
-#> 2          25              90     0   0       0     0     0     0 -1.44    1.27 
-#> 3          25             165     1   0.6     0     5     5     5  1.25    0.817
-#> 4          17             104     0   0       0     0     0     0 -0.484  -0.292
-#> 5          18             100     0   0       0     0     0     0  0.0135  0.380
-#> 6          15              94     0   0       0     0     0     0 -0.347  -1.33 
+#>   survey_cost management_cost    f1    f2    f3    n1    n2    n3     e1     e2
+#>         <dbl>           <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>  <dbl>  <dbl>
+#> 1          19              99     0     0  0        0     0     0  1.13   0.535
+#> 2          22              87     0     1  0.25     4     4     4 -1.37  -1.45 
+#> 3          13              94     1     1  0        1     1     1  0.155 -0.867
+#> 4          19              61     0     0  0        0     0     0 -0.792  1.32 
+#> 5           9             105     0     0  0        0     0     0 -0.194  0.238
+#> 6          12             136     0     0  0        0     0     0  1.07   0.220
 #> # ℹ 4 more variables: p1 <dbl>, p2 <dbl>, p3 <dbl>, geometry <POINT>
 
 # load example feature data
@@ -290,9 +277,9 @@ 
    Examples
    
 #> # A tibble: 3 × 7
 #>   name  survey survey_sensitivity survey_specificity model_sensitivity
 #>   <chr> <lgl>               <dbl>              <dbl>             <dbl>
-#> 1 f1    TRUE                0.954              0.886             0.718
-#> 2 f2    TRUE                0.974              0.875             0.705
-#> 3 f3    TRUE                0.956              0.823             0.768
+#> 1 f1    TRUE                0.951              0.854             0.711
+#> 2 f2    TRUE                0.990              0.832             0.722
+#> 3 f3    TRUE                0.986              0.808             0.772
 #> # ℹ 2 more variables: model_specificity <dbl>, target <dbl>
 
 # set total budget for managing sites for conservation
@@ -316,30 +303,26 @@ 
    Examples
    
 
 # print value
 print(ev_survey)
-#> [1] 2.99216
+#> [1] 1.224692
    -
    - -
    +
    -
    + - - diff --git a/docs/reference/feasible_survey_schemes.html b/docs/reference/feasible_survey_schemes.html index becf1a8..bc4b444 100644 --- a/docs/reference/feasible_survey_schemes.html +++ b/docs/reference/feasible_survey_schemes.html @@ -1,63 +1,48 @@ -Find all feasible survey schemes — feasible_survey_schemes • surveyvoi - - -
    -
    -
    -
    -

    Find all feasible survey schemes

    - Source: R/feasible_survey_schemes.R - +
    +
    +
    +
    + +

    Find all feasible survey schemes

    + Source: R/feasible_survey_schemes.R +
    feasible_survey_schemes.Rd
    -
    +

    Generate a matrix representing all possible different survey schemes given survey costs and a fixed budget.

    -
    +
    +

    Usage

    feasible_survey_schemes(
   site_data,
   cost_column,
@@ -68,25 +53,27 @@ 
    Find all feasible survey schemes
    
 )
    -
    -

    Arguments

    -
    site_data
    +
    +

    Arguments

    + + +
    site_data

    sf::sf() object containing the candidate survey sites.

    -
    cost_column
    +
    cost_column

    character name of the column in the argument to the argument to site_data that contains the cost for surveying each site. No missing (NA) values are permitted.

    -
    survey_budget
    +
    survey_budget

    numeric the maximum possible expenditure permitted for conducting surveys.

    -
    locked_in_column
    +
    locked_in_column

    character (optional) name of the column in the argument to site_data that contains logical (TRUE/ FALSE) values indicating if certain sites should be @@ -95,7 +82,7 @@

    Arguments

    Defaults to NULL such that no sites are locked in.

    -
    locked_out_column
    +
    locked_out_column

    character (optional) name of the column in the argument to site_data that contains logical (TRUE/ FALSE) values indicating if certain sites should be @@ -104,23 +91,21 @@

    Arguments

    Defaults to NULL such that no sites are locked out.

    -
    verbose
    +
    verbose

    logical indicating if information should be printed while searching for feasible schemes. Defaults to FALSE.

    -
    -

    Value

    - - -

    A matrix where each row corresponds to a different +

    +

    Value

    +

    A matrix where each row corresponds to a different survey scheme, and each column corresponds to a different planning unit. Cell values are logical (TRUE / FALSE) indicating if a given site is selected in a given survey scheme.

    -
    -

    Dependencies

    - +
    +

    Dependencies

    +

    Please note that this function requires the Gurobi optimization software (https://www.gurobi.com/) and the gurobi R package if different @@ -129,8 +114,8 @@

    Dependencies

    (see https://support.gurobi.com/hc/en-us/articles/4534161999889-How-do-I-install-Gurobi-Optimizer).

    -
    -

    Examples

    +
    +

    Examples

    # \dontrun{
 # set seed for reproducibility
 set.seed(123)
@@ -177,27 +162,23 @@ 
    Examples
    
 # }
    -
    - -
    +
    -
    + - - diff --git a/docs/reference/figures/README-f_plot-1.png b/docs/reference/figures/README-f_plot-1.png index ffb9546..8f8242f 100644 Binary files a/docs/reference/figures/README-f_plot-1.png and b/docs/reference/figures/README-f_plot-1.png differ diff --git a/docs/reference/figures/README-management_cost_plot-1.png b/docs/reference/figures/README-management_cost_plot-1.png index a2f9064..3b0d5c6 100644 Binary files a/docs/reference/figures/README-management_cost_plot-1.png and b/docs/reference/figures/README-management_cost_plot-1.png differ diff --git a/docs/reference/figures/README-n_plot-1.png b/docs/reference/figures/README-n_plot-1.png index 00cfbfd..b335e6a 100644 Binary files a/docs/reference/figures/README-n_plot-1.png and b/docs/reference/figures/README-n_plot-1.png differ diff --git a/docs/reference/figures/README-p_plot-1.png b/docs/reference/figures/README-p_plot-1.png index a8c7ffe..76470cd 100644 Binary files a/docs/reference/figures/README-p_plot-1.png and b/docs/reference/figures/README-p_plot-1.png differ diff --git a/docs/reference/figures/README-survey_cost_plot-1.png b/docs/reference/figures/README-survey_cost_plot-1.png index 5528943..92c84e3 100644 Binary files a/docs/reference/figures/README-survey_cost_plot-1.png and b/docs/reference/figures/README-survey_cost_plot-1.png differ diff --git a/docs/reference/figures/README-survey_scheme_plot-1.png b/docs/reference/figures/README-survey_scheme_plot-1.png index c900530..cb854db 100644 Binary files a/docs/reference/figures/README-survey_scheme_plot-1.png and b/docs/reference/figures/README-survey_scheme_plot-1.png differ diff --git a/docs/reference/fit_hglm_occupancy_models.html b/docs/reference/fit_hglm_occupancy_models.html index a57301e..898e5cd 100644 --- a/docs/reference/fit_hglm_occupancy_models.html +++ b/docs/reference/fit_hglm_occupancy_models.html @@ -1,63 +1,52 @@ -Fit hierarchical generalized linear models to predict occupancy — fit_hglm_occupancy_models • surveyvoiFit hierarchical generalized linear models to predict occupancy — fit_hglm_occupancy_models • surveyvoi - - -
    -
    -
    -
    -

    Fit hierarchical generalized linear models to predict occupancy

    - Source: R/fit_hglm_occupancy_models.R - + + + +
    +
    +
    +
    + +

    Fit hierarchical generalized linear models to predict occupancy

    + Source: R/fit_hglm_occupancy_models.R +
    fit_hglm_occupancy_models.Rd
    -
    +

    Estimate probability of occupancy for a set of features in a set of planning units. Models are fitted as hierarchical generalized linear models that account for for imperfect detection (following Royle & Link 2006) @@ -67,7 +56,8 @@

    Fit hierarchical generalized linear models to predict occupancy

    (Park & Casella 2008).

    -
    +
    +

    Usage

    fit_hglm_occupancy_models(
   site_data,
   feature_data,
@@ -88,17 +78,19 @@ 
    Fit hierarchical generalized linear models to predict occupancy
    
 )
    -
    -

    Arguments

    -
    site_data
    +
    +

    Arguments

    + + +
    site_data

    sf::sf() object with site data.

    -
    feature_data
    +
    feature_data

    base::data.frame() object with feature data.

    -
    site_detection_columns
    +
    site_detection_columns

    character names of numeric columns in the argument to site_data that contain the proportion of surveys conducted within each site that detected each feature. @@ -107,7 +99,7 @@

    Arguments

    not previously been surveyed, a value of zero should be used.

    -
    site_n_surveys_columns
    +
    site_n_surveys_columns

    character names of numeric columns in the argument to site_data that contain the total number of surveys conducted for each each feature within each site. @@ -116,7 +108,7 @@

    Arguments

    not previously been surveyed, a value of zero should be used.

    -
    site_env_vars_columns
    +
    site_env_vars_columns

    character names of columns in the argument to site_data that contain environmental information for fitting updated occupancy models based on possible survey outcomes. @@ -125,7 +117,7 @@

    Arguments

    No missing (NA) values are permitted in these columns.

    -
    feature_survey_sensitivity_column
    +
    feature_survey_sensitivity_column

    character name of the column in the argument to feature_data that contains probability of future surveys correctly detecting a presence of each @@ -134,7 +126,7 @@

    Arguments

    one. No missing (NA) values are permitted in this column.

    -
    feature_survey_specificity_column
    +
    feature_survey_specificity_column

    character name of the column in the argument to feature_data that contains probability of future surveys correctly detecting an absence of each @@ -143,7 +135,7 @@

    Arguments

    one. No missing (NA) values are permitted in this column.

    -
    jags_n_samples
    +
    jags_n_samples

    integer number of sample to generate per chain for MCMC analyses. See documentation for the sample parameter @@ -151,7 +143,7 @@

    Arguments

    Defaults to 10,000 for each feature.

    -
    jags_n_burnin
    +
    jags_n_burnin

    integer number of warm up iterations for MCMC analyses. See documentation for the burnin parameter @@ -159,7 +151,7 @@

    Arguments

    Defaults to 10,000 for each feature.

    -
    jags_n_thin
    +
    jags_n_thin

    integer number of thinning iterations for MCMC analyses. See documentation for the thin parameter @@ -167,7 +159,7 @@

    Arguments

    Defaults to 100 for each feature.

    -
    jags_n_adapt
    +
    jags_n_adapt

    integer number of adapting iterations for MCMC analyses. See documentation for the adapt parameter @@ -175,39 +167,37 @@

    Arguments

    Defaults to 1,000 for each feature.

    -
    jags_n_chains
    +
    jags_n_chains

    integer total number of chains for MCMC analyses. See documentation for the n.chains parameter in runjags::run.jags() for more information). Defaults to 4 for each fold for each feature.

    -
    n_folds
    +
    n_folds

    numeric number of folds to split the training data into when fitting models for each feature. Defaults to 5 for each feature.

    -
    n_threads
    +
    n_threads

    integer number of threads to use for parameter tuning. Defaults to 1.

    -
    seed
    +
    seed

    integer initial random number generator state for model fitting. Defaults to 500.

    -
    verbose
    +
    verbose

    logical indicating if information should be printed during computations. Defaults to FALSE.

    -
    -

    Value

    - - -

    A list object containing:

    models
    +
    +

    Value

    +

    A list object containing:

    models

    list of list objects containing the models.

    @@ -284,8 +274,8 @@

    Value

    -
    -

    Details

    +
    +

    Details

    This function (i) prepares the data for model fitting, (ii) fits the models, and (iii) assesses the performance of the models. These analyses are performed separately for each @@ -307,25 +297,25 @@

    Details

    the maximum MPSRF statistic for the models fit for each feature is calculated.

    • -
    -

    Dependencies

    - +
    +

    Dependencies

    +

    This function requires the JAGS software to be installed. For information on installing the JAGS software, please consult the documentation for the rjags package.

    -
    -

    References

    +
    +

    References

    Park T & Casella G (2008) The Bayesian lasso. -Journal of the American Statistical Association, 103: 681--686.

    +Journal of the American Statistical Association, 103: 681–686.

    Royle JA & Link WA (2006) Generalized site occupancy models allowing for -false positive and false negative errors. Ecology, 87: 835--841.

    +false positive and false negative errors. Ecology, 87: 835–841.

    -
    -

    Examples

    +
    +

    Examples

    # \dontrun{
 # set seeds for reproducibility
 set.seed(123)
@@ -379,326 +369,1284 @@ 
    Examples
    
    jags_n_samples = rep(250, 2), jags_n_burnin = rep(250, 2),
    jags_n_thin = rep(1, 2), jags_n_adapt = rep(100, 2),
    n_threads = 1)
-#> 
  |                                                                            
  |                                                                      |   0%
-#> Loading required namespace: rjags
-#> Compiling rjags model...
-#> Calling the simulation using the rjags method...
-#> Adapting the model for 100 iterations...
-#> Burning in the model for 250 iterations...
-#> Running the model for 250 iterations...
-#> Simulation complete
-#> Calculating summary statistics...
-#> Finished running the simulation
-#> 
  |                                                                            
  |==                                                                    |   2%Compiling rjags model...
-#> Calling the simulation using the rjags method...
-#> Adapting the model for 100 iterations...
-#> Burning in the model for 250 iterations...
-#> Running the model for 250 iterations...
-#> Simulation complete
-#> Calculating summary statistics...
-#> Finished running the simulation
-#> 
  |                                                                            
  |====                                                                  |   5%Compiling rjags model...
-#> Calling the simulation using the rjags method...
-#> Adapting the model for 100 iterations...
-#> Burning in the model for 250 iterations...
-#> Running the model for 250 iterations...
-#> Simulation complete
-#> Calculating summary statistics...
-#> Finished running the simulation
-#> 
  |                                                                            
  |=====                                                                 |   8%Compiling rjags model...
-#> Calling the simulation using the rjags method...
-#> Adapting the model for 100 iterations...
-#> Burning in the model for 250 iterations...
-#> Running the model for 250 iterations...
-#> Simulation complete
-#> Calculating summary statistics...
-#> Finished running the simulation
-#> 
  |                                                                            
  |=======                                                               |  10%Compiling rjags model...
-#> Calling the simulation using the rjags method...
-#> Adapting the model for 100 iterations...
-#> Burning in the model for 250 iterations...
-#> Running the model for 250 iterations...
-#> Simulation complete
-#> Calculating summary statistics...
-#> Finished running the simulation
-#> 
  |                                                                            
  |=========                                                             |  12%Compiling rjags model...
-#> Calling the simulation using the rjags method...
-#> Adapting the model for 100 iterations...
-#> Burning in the model for 250 iterations...
-#> Running the model for 250 iterations...
-#> Simulation complete
-#> Calculating summary statistics...
-#> Finished running the simulation
-#> 
  |                                                                            
  |==========                                                            |  15%Compiling rjags model...
-#> Calling the simulation using the rjags method...
-#> Adapting the model for 100 iterations...
-#> Burning in the model for 250 iterations...
-#> Running the model for 250 iterations...
-#> Simulation complete
-#> Calculating summary statistics...
-#> Finished running the simulation
-#> 
  |                                                                            
  |============                                                          |  18%Compiling rjags model...
-#> Calling the simulation using the rjags method...
-#> Adapting the model for 100 iterations...
-#> Burning in the model for 250 iterations...
-#> Running the model for 250 iterations...
-#> Simulation complete
-#> Calculating summary statistics...
-#> Finished running the simulation
-#> 
  |                                                                            
  |==============                                                        |  20%Compiling rjags model...
-#> Calling the simulation using the rjags method...
-#> Adapting the model for 100 iterations...
-#> Burning in the model for 250 iterations...
-#> Running the model for 250 iterations...
-#> Simulation complete
-#> Calculating summary statistics...
-#> Finished running the simulation
-#> 
  |                                                                            
  |================                                                      |  22%Compiling rjags model...
-#> Calling the simulation using the rjags method...
-#> Adapting the model for 100 iterations...
-#> Burning in the model for 250 iterations...
-#> Running the model for 250 iterations...
-#> Simulation complete
-#> Calculating summary statistics...
-#> Finished running the simulation
-#> 
  |                                                                            
  |==================                                                    |  25%Compiling rjags model...
-#> Calling the simulation using the rjags method...
-#> Adapting the model for 100 iterations...
-#> Burning in the model for 250 iterations...
-#> Running the model for 250 iterations...
-#> Simulation complete
-#> Calculating summary statistics...
-#> Finished running the simulation
-#> 
  |                                                                            
  |===================                                                   |  28%Compiling rjags model...
-#> Calling the simulation using the rjags method...
-#> Adapting the model for 100 iterations...
-#> Burning in the model for 250 iterations...
-#> Running the model for 250 iterations...
-#> Simulation complete
-#> Calculating summary statistics...
-#> Finished running the simulation
-#> 
  |                                                                            
  |=====================                                                 |  30%Compiling rjags model...
-#> Calling the simulation using the rjags method...
-#> Adapting the model for 100 iterations...
-#> Burning in the model for 250 iterations...
-#> Running the model for 250 iterations...
-#> Simulation complete
+#> 
  |                                                                            
  |                                                                      |   0%Calling the simulation...
+#> Welcome to JAGS 4.3.0 on Mon Sep 23 16:19:42 2024
+#> JAGS is free software and comes with ABSOLUTELY NO WARRANTY
+#> Loading module: basemod: ok
+#> Loading module: bugs: ok
+#> . . Reading data file data.txt
+#> . Compiling model graph
+#>    Resolving undeclared variables
+#>    Allocating nodes
+#> Graph information:
+#>    Observed stochastic nodes: 74
+#>    Unobserved stochastic nodes: 26
+#>    Total graph size: 387
+#> . Reading parameter file inits1.txt
+#> . Initializing model
+#> . Adapting 100
+#> -------------------------------------------------| 100
+#> ++++++++++++++++++++++++++++++++++++++++++++++++++ 100%
+#> Adaptation successful
+#> . Updating 250
+#> -------------------------------------------------| 250
+#> ************************************************** 100%
+#> . . Updating 250
+#> -------------------------------------------------| 250
+#> ************************************************** 100%
+#> . . . . Updating 0
+#> . Deleting model
+#> . 
+#> Simulation complete.  Reading coda files...
+#> Coda files loaded successfully
+#> Calculating summary statistics...
+#> Finished running the simulation
+#> 
  |                                                                            
  |==                                                                    |   2%Calling the simulation...
+#> Welcome to JAGS 4.3.0 on Mon Sep 23 16:19:44 2024
+#> JAGS is free software and comes with ABSOLUTELY NO WARRANTY
+#> Loading module: basemod: ok
+#> Loading module: bugs: ok
+#> . . Reading data file data.txt
+#> . Compiling model graph
+#>    Resolving undeclared variables
+#>    Allocating nodes
+#> Graph information:
+#>    Observed stochastic nodes: 67
+#>    Unobserved stochastic nodes: 26
+#>    Total graph size: 387
+#> . Reading parameter file inits1.txt
+#> . Initializing model
+#> . Adapting 100
+#> -------------------------------------------------| 100
+#> ++++++++++++++++++++++++++++++++++++++++++++++++++ 100%
+#> Adaptation successful
+#> . Updating 250
+#> -------------------------------------------------| 250
+#> ************************************************** 100%
+#> . . Updating 250
+#> -------------------------------------------------| 250
+#> ************************************************** 100%
+#> . . . . Updating 0
+#> . Deleting model
+#> . 
+#> Simulation complete.  Reading coda files...
+#> Coda files loaded successfully
+#> Calculating summary statistics...
+#> Finished running the simulation
+#> 
  |                                                                            
  |====                                                                  |   5%Calling the simulation...
+#> Welcome to JAGS 4.3.0 on Mon Sep 23 16:19:47 2024
+#> JAGS is free software and comes with ABSOLUTELY NO WARRANTY
+#> Loading module: basemod: ok
+#> Loading module: bugs: ok
+#> . . Reading data file data.txt
+#> . Compiling model graph
+#>    Resolving undeclared variables
+#>    Allocating nodes
+#> Graph information:
+#>    Observed stochastic nodes: 66
+#>    Unobserved stochastic nodes: 26
+#>    Total graph size: 387
+#> . Reading parameter file inits1.txt
+#> . Initializing model
+#> . Adapting 100
+#> -------------------------------------------------| 100
+#> ++++++++++++++++++++++++++++++++++++++++++++++++++ 100%
+#> Adaptation successful
+#> . Updating 250
+#> -------------------------------------------------| 250
+#> ************************************************** 100%
+#> . . Updating 250
+#> -------------------------------------------------| 250
+#> ************************************************** 100%
+#> . . . . Updating 0
+#> . Deleting model
+#> . 
+#> Simulation complete.  Reading coda files...
+#> Coda files loaded successfully
 #> Calculating summary statistics...
 #> Finished running the simulation
-#> 
  |                                                                            
  |=======================                                               |  32%Compiling rjags model...
-#> Calling the simulation using the rjags method...
-#> Adapting the model for 100 iterations...
-#> Burning in the model for 250 iterations...
-#> Running the model for 250 iterations...
-#> Simulation complete
+#> 
  |                                                                            
  |=====                                                                 |   8%Calling the simulation...
+#> Welcome to JAGS 4.3.0 on Mon Sep 23 16:19:48 2024
+#> JAGS is free software and comes with ABSOLUTELY NO WARRANTY
+#> Loading module: basemod: ok
+#> Loading module: bugs: ok
+#> . . Reading data file data.txt
+#> . Compiling model graph
+#>    Resolving undeclared variables
+#>    Allocating nodes
+#> Graph information:
+#>    Observed stochastic nodes: 70
+#>    Unobserved stochastic nodes: 26
+#>    Total graph size: 387
+#> . Reading parameter file inits1.txt
+#> . Initializing model
+#> . Adapting 100
+#> -------------------------------------------------| 100
+#> ++++++++++++++++++++++++++++++++++++++++++++++++++ 100%
+#> Adaptation successful
+#> . Updating 250
+#> -------------------------------------------------| 250
+#> ************************************************** 100%
+#> . . Updating 250
+#> -------------------------------------------------| 250
+#> ************************************************** 100%
+#> . . . . Updating 0
+#> . Deleting model
+#> . 
+#> Simulation complete.  Reading coda files...
+#> Coda files loaded successfully
 #> Calculating summary statistics...
 #> Finished running the simulation
-#> 
  |                                                                            
  |========================                                              |  35%Compiling rjags model...
-#> Calling the simulation using the rjags method...
-#> Adapting the model for 100 iterations...
-#> Burning in the model for 250 iterations...
-#> Running the model for 250 iterations...
-#> Simulation complete
+#> 
  |                                                                            
  |=======                                                               |  10%Calling the simulation...
+#> Welcome to JAGS 4.3.0 on Mon Sep 23 16:19:50 2024
+#> JAGS is free software and comes with ABSOLUTELY NO WARRANTY
+#> Loading module: basemod: ok
+#> Loading module: bugs: ok
+#> . . Reading data file data.txt
+#> . Compiling model graph
+#>    Resolving undeclared variables
+#>    Allocating nodes
+#> Graph information:
+#>    Observed stochastic nodes: 63
+#>    Unobserved stochastic nodes: 24
+#>    Total graph size: 353
+#> . Reading parameter file inits1.txt
+#> . Initializing model
+#> . Adapting 100
+#> -------------------------------------------------| 100
+#> ++++++++++++++++++++++++++++++++++++++++++++++++++ 100%
+#> Adaptation successful
+#> . Updating 250
+#> -------------------------------------------------| 250
+#> ************************************************** 100%
+#> . . Updating 250
+#> -------------------------------------------------| 250
+#> ************************************************** 100%
+#> . . . . Updating 0
+#> . Deleting model
+#> . 
+#> Simulation complete.  Reading coda files...
+#> Coda files loaded successfully
 #> Calculating summary statistics...
 #> Finished running the simulation
-#> 
  |                                                                            
  |==========================                                            |  38%Compiling rjags model...
-#> Calling the simulation using the rjags method...
-#> Adapting the model for 100 iterations...
-#> Burning in the model for 250 iterations...
-#> Running the model for 250 iterations...
-#> Simulation complete
+#> 
  |                                                                            
  |=========                                                             |  12%Calling the simulation...
+#> Welcome to JAGS 4.3.0 on Mon Sep 23 16:19:52 2024
+#> JAGS is free software and comes with ABSOLUTELY NO WARRANTY
+#> Loading module: basemod: ok
+#> Loading module: bugs: ok
+#> . . Reading data file data.txt
+#> . Compiling model graph
+#>    Resolving undeclared variables
+#>    Allocating nodes
+#> Graph information:
+#>    Observed stochastic nodes: 74
+#>    Unobserved stochastic nodes: 26
+#>    Total graph size: 387
+#> . Reading parameter file inits1.txt
+#> . Initializing model
+#> . Adapting 100
+#> -------------------------------------------------| 100
+#> ++++++++++++++++++++++++++++++++++++++++++++++++++ 100%
+#> Adaptation successful
+#> . Updating 250
+#> -------------------------------------------------| 250
+#> ************************************************** 100%
+#> . . Updating 250
+#> -------------------------------------------------| 250
+#> ************************************************** 100%
+#> . . . . Updating 0
+#> . Deleting model
+#> . 
+#> Simulation complete.  Reading coda files...
+#> Coda files loaded successfully
 #> Calculating summary statistics...
 #> Finished running the simulation
-#> 
  |                                                                            
  |============================                                          |  40%Compiling rjags model...
-#> Calling the simulation using the rjags method...
-#> Adapting the model for 100 iterations...
-#> Burning in the model for 250 iterations...
-#> Running the model for 250 iterations...
-#> Simulation complete
+#> 
  |                                                                            
  |==========                                                            |  15%Calling the simulation...
+#> Welcome to JAGS 4.3.0 on Mon Sep 23 16:19:54 2024
+#> JAGS is free software and comes with ABSOLUTELY NO WARRANTY
+#> Loading module: basemod: ok
+#> Loading module: bugs: ok
+#> . . Reading data file data.txt
+#> . Compiling model graph
+#>    Resolving undeclared variables
+#>    Allocating nodes
+#> Graph information:
+#>    Observed stochastic nodes: 67
+#>    Unobserved stochastic nodes: 26
+#>    Total graph size: 387
+#> . Reading parameter file inits1.txt
+#> . Initializing model
+#> . Adapting 100
+#> -------------------------------------------------| 100
+#> ++++++++++++++++++++++++++++++++++++++++++++++++++ 100%
+#> Adaptation successful
+#> . Updating 250
+#> -------------------------------------------------| 250
+#> ************************************************** 100%
+#> . . Updating 250
+#> -------------------------------------------------| 250
+#> ************************************************** 100%
+#> . . . . Updating 0
+#> . Deleting model
+#> . 
+#> Simulation complete.  Reading coda files...
+#> Coda files loaded successfully
 #> Calculating summary statistics...
 #> Finished running the simulation
-#> 
  |                                                                            
  |==============================                                        |  42%Compiling rjags model...
-#> Calling the simulation using the rjags method...
-#> Adapting the model for 100 iterations...
-#> Burning in the model for 250 iterations...
-#> Running the model for 250 iterations...
-#> Simulation complete
+#> 
  |                                                                            
  |============                                                          |  18%Calling the simulation...
+#> Welcome to JAGS 4.3.0 on Mon Sep 23 16:19:56 2024
+#> JAGS is free software and comes with ABSOLUTELY NO WARRANTY
+#> Loading module: basemod: ok
+#> Loading module: bugs: ok
+#> . . Reading data file data.txt
+#> . Compiling model graph
+#>    Resolving undeclared variables
+#>    Allocating nodes
+#> Graph information:
+#>    Observed stochastic nodes: 66
+#>    Unobserved stochastic nodes: 26
+#>    Total graph size: 387
+#> . Reading parameter file inits1.txt
+#> . Initializing model
+#> . Adapting 100
+#> -------------------------------------------------| 100
+#> ++++++++++++++++++++++++++++++++++++++++++++++++++ 100%
+#> Adaptation successful
+#> . Updating 250
+#> -------------------------------------------------| 250
+#> ************************************************** 100%
+#> . . Updating 250
+#> -------------------------------------------------| 250
+#> ************************************************** 100%
+#> . . . . Updating 0
+#> . Deleting model
+#> . 
+#> Simulation complete.  Reading coda files...
+#> Coda files loaded successfully
 #> Calculating summary statistics...
 #> Finished running the simulation
-#> 
  |                                                                            
  |================================                                      |  45%Compiling rjags model...
-#> Calling the simulation using the rjags method...
-#> Adapting the model for 100 iterations...
-#> Burning in the model for 250 iterations...
-#> Running the model for 250 iterations...
-#> Simulation complete
+#> 
  |                                                                            
  |==============                                                        |  20%Calling the simulation...
+#> Welcome to JAGS 4.3.0 on Mon Sep 23 16:19:58 2024
+#> JAGS is free software and comes with ABSOLUTELY NO WARRANTY
+#> Loading module: basemod: ok
+#> Loading module: bugs: ok
+#> . . Reading data file data.txt
+#> . Compiling model graph
+#>    Resolving undeclared variables
+#>    Allocating nodes
+#> Graph information:
+#>    Observed stochastic nodes: 70
+#>    Unobserved stochastic nodes: 26
+#>    Total graph size: 387
+#> . Reading parameter file inits1.txt
+#> . Initializing model
+#> . Adapting 100
+#> -------------------------------------------------| 100
+#> ++++++++++++++++++++++++++++++++++++++++++++++++++ 100%
+#> Adaptation successful
+#> . Updating 250
+#> -------------------------------------------------| 250
+#> ************************************************** 100%
+#> . . Updating 250
+#> -------------------------------------------------| 250
+#> ************************************************** 100%
+#> . . . . Updating 0
+#> . Deleting model
+#> . 
+#> Simulation complete.  Reading coda files...
+#> Coda files loaded successfully
 #> Calculating summary statistics...
 #> Finished running the simulation
-#> 
  |                                                                            
  |=================================                                     |  48%Compiling rjags model...
-#> Calling the simulation using the rjags method...
-#> Adapting the model for 100 iterations...
-#> Burning in the model for 250 iterations...
-#> Running the model for 250 iterations...
-#> Simulation complete
+#> 
  |                                                                            
  |================                                                      |  22%Calling the simulation...
+#> Welcome to JAGS 4.3.0 on Mon Sep 23 16:20:00 2024
+#> JAGS is free software and comes with ABSOLUTELY NO WARRANTY
+#> Loading module: basemod: ok
+#> Loading module: bugs: ok
+#> . . Reading data file data.txt
+#> . Compiling model graph
+#>    Resolving undeclared variables
+#>    Allocating nodes
+#> Graph information:
+#>    Observed stochastic nodes: 63
+#>    Unobserved stochastic nodes: 24
+#>    Total graph size: 353
+#> . Reading parameter file inits1.txt
+#> . Initializing model
+#> . Adapting 100
+#> -------------------------------------------------| 100
+#> ++++++++++++++++++++++++++++++++++++++++++++++++++ 100%
+#> Adaptation successful
+#> . Updating 250
+#> -------------------------------------------------| 250
+#> ************************************************** 100%
+#> . . Updating 250
+#> -------------------------------------------------| 250
+#> ************************************************** 100%
+#> . . . . Updating 0
+#> . Deleting model
+#> . 
+#> Simulation complete.  Reading coda files...
+#> Coda files loaded successfully
 #> Calculating summary statistics...
 #> Finished running the simulation
-#> 
  |                                                                            
  |===================================                                   |  50%Compiling rjags model...
-#> Calling the simulation using the rjags method...
-#> Adapting the model for 100 iterations...
-#> Burning in the model for 250 iterations...
-#> Running the model for 250 iterations...
-#> Simulation complete
+#> 
  |                                                                            
  |==================                                                    |  25%Calling the simulation...
+#> Welcome to JAGS 4.3.0 on Mon Sep 23 16:20:02 2024
+#> JAGS is free software and comes with ABSOLUTELY NO WARRANTY
+#> Loading module: basemod: ok
+#> Loading module: bugs: ok
+#> . . Reading data file data.txt
+#> . Compiling model graph
+#>    Resolving undeclared variables
+#>    Allocating nodes
+#> Graph information:
+#>    Observed stochastic nodes: 74
+#>    Unobserved stochastic nodes: 26
+#>    Total graph size: 387
+#> . Reading parameter file inits1.txt
+#> . Initializing model
+#> . Adapting 100
+#> -------------------------------------------------| 100
+#> ++++++++++++++++++++++++++++++++++++++++++++++++++ 100%
+#> Adaptation successful
+#> . Updating 250
+#> -------------------------------------------------| 250
+#> ************************************************** 100%
+#> . . Updating 250
+#> -------------------------------------------------| 250
+#> ************************************************** 100%
+#> . . . . Updating 0
+#> . Deleting model
+#> . 
+#> Simulation complete.  Reading coda files...
+#> Coda files loaded successfully
 #> Calculating summary statistics...
 #> Finished running the simulation
-#> 
  |                                                                            
  |=====================================                                 |  52%Compiling rjags model...
-#> Calling the simulation using the rjags method...
-#> Adapting the model for 100 iterations...
-#> Burning in the model for 250 iterations...
-#> Running the model for 250 iterations...
-#> Simulation complete
+#> 
  |                                                                            
  |===================                                                   |  28%Calling the simulation...
+#> Welcome to JAGS 4.3.0 on Mon Sep 23 16:20:03 2024
+#> JAGS is free software and comes with ABSOLUTELY NO WARRANTY
+#> Loading module: basemod: ok
+#> Loading module: bugs: ok
+#> . . Reading data file data.txt
+#> . Compiling model graph
+#>    Resolving undeclared variables
+#>    Allocating nodes
+#> Graph information:
+#>    Observed stochastic nodes: 67
+#>    Unobserved stochastic nodes: 26
+#>    Total graph size: 387
+#> . Reading parameter file inits1.txt
+#> . Initializing model
+#> . Adapting 100
+#> -------------------------------------------------| 100
+#> ++++++++++++++++++++++++++++++++++++++++++++++++++ 100%
+#> Adaptation successful
+#> . Updating 250
+#> -------------------------------------------------| 250
+#> ************************************************** 100%
+#> . . Updating 250
+#> -------------------------------------------------| 250
+#> ************************************************** 100%
+#> . . . . Updating 0
+#> . Deleting model
+#> . 
+#> Simulation complete.  Reading coda files...
+#> Coda files loaded successfully
 #> Calculating summary statistics...
 #> Finished running the simulation
-#> 
  |                                                                            
  |======================================                                |  55%Compiling rjags model...
-#> Calling the simulation using the rjags method...
-#> Adapting the model for 100 iterations...
-#> Burning in the model for 250 iterations...
-#> Running the model for 250 iterations...
-#> Simulation complete
+#> 
  |                                                                            
  |=====================                                                 |  30%Calling the simulation...
+#> Welcome to JAGS 4.3.0 on Mon Sep 23 16:20:05 2024
+#> JAGS is free software and comes with ABSOLUTELY NO WARRANTY
+#> Loading module: basemod: ok
+#> Loading module: bugs: ok
+#> . . Reading data file data.txt
+#> . Compiling model graph
+#>    Resolving undeclared variables
+#>    Allocating nodes
+#> Graph information:
+#>    Observed stochastic nodes: 66
+#>    Unobserved stochastic nodes: 26
+#>    Total graph size: 387
+#> . Reading parameter file inits1.txt
+#> . Initializing model
+#> . Adapting 100
+#> -------------------------------------------------| 100
+#> ++++++++++++++++++++++++++++++++++++++++++++++++++ 100%
+#> Adaptation successful
+#> . Updating 250
+#> -------------------------------------------------| 250
+#> ************************************************** 100%
+#> . . Updating 250
+#> -------------------------------------------------| 250
+#> ************************************************** 100%
+#> . . . . Updating 0
+#> . Deleting model
+#> . 
+#> Simulation complete.  Reading coda files...
+#> Coda files loaded successfully
 #> Calculating summary statistics...
 #> Finished running the simulation
-#> 
  |                                                                            
  |========================================                              |  58%Compiling rjags model...
-#> Calling the simulation using the rjags method...
-#> Adapting the model for 100 iterations...
-#> Burning in the model for 250 iterations...
-#> Running the model for 250 iterations...
-#> Simulation complete
+#> 
  |                                                                            
  |=======================                                               |  32%Calling the simulation...
+#> Welcome to JAGS 4.3.0 on Mon Sep 23 16:20:07 2024
+#> JAGS is free software and comes with ABSOLUTELY NO WARRANTY
+#> Loading module: basemod: ok
+#> Loading module: bugs: ok
+#> . . Reading data file data.txt
+#> . Compiling model graph
+#>    Resolving undeclared variables
+#>    Allocating nodes
+#> Graph information:
+#>    Observed stochastic nodes: 70
+#>    Unobserved stochastic nodes: 26
+#>    Total graph size: 387
+#> . Reading parameter file inits1.txt
+#> . Initializing model
+#> . Adapting 100
+#> -------------------------------------------------| 100
+#> ++++++++++++++++++++++++++++++++++++++++++++++++++ 100%
+#> Adaptation successful
+#> . Updating 250
+#> -------------------------------------------------| 250
+#> ************************************************** 100%
+#> . . Updating 250
+#> -------------------------------------------------| 250
+#> ************************************************** 100%
+#> . . . . Updating 0
+#> . Deleting model
+#> . 
+#> Simulation complete.  Reading coda files...
+#> Coda files loaded successfully
 #> Calculating summary statistics...
 #> Finished running the simulation
-#> 
  |                                                                            
  |==========================================                            |  60%Compiling rjags model...
-#> Calling the simulation using the rjags method...
-#> Adapting the model for 100 iterations...
-#> Burning in the model for 250 iterations...
-#> Running the model for 250 iterations...
-#> Simulation complete
+#> 
  |                                                                            
  |========================                                              |  35%Calling the simulation...
+#> Welcome to JAGS 4.3.0 on Mon Sep 23 16:20:09 2024
+#> JAGS is free software and comes with ABSOLUTELY NO WARRANTY
+#> Loading module: basemod: ok
+#> Loading module: bugs: ok
+#> . . Reading data file data.txt
+#> . Compiling model graph
+#>    Resolving undeclared variables
+#>    Allocating nodes
+#> Graph information:
+#>    Observed stochastic nodes: 63
+#>    Unobserved stochastic nodes: 24
+#>    Total graph size: 353
+#> . Reading parameter file inits1.txt
+#> . Initializing model
+#> . Adapting 100
+#> -------------------------------------------------| 100
+#> ++++++++++++++++++++++++++++++++++++++++++++++++++ 100%
+#> Adaptation successful
+#> . Updating 250
+#> -------------------------------------------------| 250
+#> ************************************************** 100%
+#> . . Updating 250
+#> -------------------------------------------------| 250
+#> ************************************************** 100%
+#> . . . . Updating 0
+#> . Deleting model
+#> . 
+#> Simulation complete.  Reading coda files...
+#> Coda files loaded successfully
 #> Calculating summary statistics...
 #> Finished running the simulation
-#> 
  |                                                                            
  |============================================                          |  62%Compiling rjags model...
-#> Calling the simulation using the rjags method...
-#> Adapting the model for 100 iterations...
-#> Burning in the model for 250 iterations...
-#> Running the model for 250 iterations...
-#> Simulation complete
+#> 
  |                                                                            
  |==========================                                            |  38%Calling the simulation...
+#> Welcome to JAGS 4.3.0 on Mon Sep 23 16:20:11 2024
+#> JAGS is free software and comes with ABSOLUTELY NO WARRANTY
+#> Loading module: basemod: ok
+#> Loading module: bugs: ok
+#> . . Reading data file data.txt
+#> . Compiling model graph
+#>    Resolving undeclared variables
+#>    Allocating nodes
+#> Graph information:
+#>    Observed stochastic nodes: 74
+#>    Unobserved stochastic nodes: 26
+#>    Total graph size: 387
+#> . Reading parameter file inits1.txt
+#> . Initializing model
+#> . Adapting 100
+#> -------------------------------------------------| 100
+#> ++++++++++++++++++++++++++++++++++++++++++++++++++ 100%
+#> Adaptation successful
+#> . Updating 250
+#> -------------------------------------------------| 250
+#> ************************************************** 100%
+#> . . Updating 250
+#> -------------------------------------------------| 250
+#> ************************************************** 100%
+#> . . . . Updating 0
+#> . Deleting model
+#> . 
+#> Simulation complete.  Reading coda files...
+#> Coda files loaded successfully
 #> Calculating summary statistics...
 #> Finished running the simulation
-#> 
  |                                                                            
  |==============================================                        |  65%Compiling rjags model...
-#> Calling the simulation using the rjags method...
-#> Adapting the model for 100 iterations...
-#> Burning in the model for 250 iterations...
-#> Running the model for 250 iterations...
-#> Simulation complete
+#> 
  |                                                                            
  |============================                                          |  40%Calling the simulation...
+#> Welcome to JAGS 4.3.0 on Mon Sep 23 16:20:13 2024
+#> JAGS is free software and comes with ABSOLUTELY NO WARRANTY
+#> Loading module: basemod: ok
+#> Loading module: bugs: ok
+#> . . Reading data file data.txt
+#> . Compiling model graph
+#>    Resolving undeclared variables
+#>    Allocating nodes
+#> Graph information:
+#>    Observed stochastic nodes: 67
+#>    Unobserved stochastic nodes: 26
+#>    Total graph size: 387
+#> . Reading parameter file inits1.txt
+#> . Initializing model
+#> . Adapting 100
+#> -------------------------------------------------| 100
+#> ++++++++++++++++++++++++++++++++++++++++++++++++++ 100%
+#> Adaptation successful
+#> . Updating 250
+#> -------------------------------------------------| 250
+#> ************************************************** 100%
+#> . . Updating 250
+#> -------------------------------------------------| 250
+#> ************************************************** 100%
+#> . . . . Updating 0
+#> . Deleting model
+#> . 
+#> Simulation complete.  Reading coda files...
+#> Coda files loaded successfully
 #> Calculating summary statistics...
 #> Finished running the simulation
-#> 
  |                                                                            
  |===============================================                       |  68%Compiling rjags model...
-#> Calling the simulation using the rjags method...
-#> Adapting the model for 100 iterations...
-#> Burning in the model for 250 iterations...
-#> Running the model for 250 iterations...
-#> Simulation complete
+#> 
  |                                                                            
  |==============================                                        |  42%Calling the simulation...
+#> Welcome to JAGS 4.3.0 on Mon Sep 23 16:20:14 2024
+#> JAGS is free software and comes with ABSOLUTELY NO WARRANTY
+#> Loading module: basemod: ok
+#> Loading module: bugs: ok
+#> . . Reading data file data.txt
+#> . Compiling model graph
+#>    Resolving undeclared variables
+#>    Allocating nodes
+#> Graph information:
+#>    Observed stochastic nodes: 66
+#>    Unobserved stochastic nodes: 26
+#>    Total graph size: 387
+#> . Reading parameter file inits1.txt
+#> . Initializing model
+#> . Adapting 100
+#> -------------------------------------------------| 100
+#> ++++++++++++++++++++++++++++++++++++++++++++++++++ 100%
+#> Adaptation successful
+#> . Updating 250
+#> -------------------------------------------------| 250
+#> ************************************************** 100%
+#> . . Updating 250
+#> -------------------------------------------------| 250
+#> ************************************************** 100%
+#> . . . . Updating 0
+#> . Deleting model
+#> . 
+#> Simulation complete.  Reading coda files...
+#> Coda files loaded successfully
 #> Calculating summary statistics...
 #> Finished running the simulation
-#> 
  |                                                                            
  |=================================================                     |  70%Compiling rjags model...
-#> Calling the simulation using the rjags method...
-#> Adapting the model for 100 iterations...
-#> Burning in the model for 250 iterations...
-#> Running the model for 250 iterations...
-#> Simulation complete
+#> 
  |                                                                            
  |================================                                      |  45%Calling the simulation...
+#> Welcome to JAGS 4.3.0 on Mon Sep 23 16:20:16 2024
+#> JAGS is free software and comes with ABSOLUTELY NO WARRANTY
+#> Loading module: basemod: ok
+#> Loading module: bugs: ok
+#> . . Reading data file data.txt
+#> . Compiling model graph
+#>    Resolving undeclared variables
+#>    Allocating nodes
+#> Graph information:
+#>    Observed stochastic nodes: 70
+#>    Unobserved stochastic nodes: 26
+#>    Total graph size: 387
+#> . Reading parameter file inits1.txt
+#> . Initializing model
+#> . Adapting 100
+#> -------------------------------------------------| 100
+#> ++++++++++++++++++++++++++++++++++++++++++++++++++ 100%
+#> Adaptation successful
+#> . Updating 250
+#> -------------------------------------------------| 250
+#> ************************************************** 100%
+#> . . Updating 250
+#> -------------------------------------------------| 250
+#> ************************************************** 100%
+#> . . . . Updating 0
+#> . Deleting model
+#> . 
+#> Simulation complete.  Reading coda files...
+#> Coda files loaded successfully
 #> Calculating summary statistics...
 #> Finished running the simulation
-#> 
  |                                                                            
  |===================================================                   |  72%Compiling rjags model...
-#> Calling the simulation using the rjags method...
-#> Adapting the model for 100 iterations...
-#> Burning in the model for 250 iterations...
-#> Running the model for 250 iterations...
-#> Simulation complete
+#> 
  |                                                                            
  |=================================                                     |  48%Calling the simulation...
+#> Welcome to JAGS 4.3.0 on Mon Sep 23 16:20:18 2024
+#> JAGS is free software and comes with ABSOLUTELY NO WARRANTY
+#> Loading module: basemod: ok
+#> Loading module: bugs: ok
+#> . . Reading data file data.txt
+#> . Compiling model graph
+#>    Resolving undeclared variables
+#>    Allocating nodes
+#> Graph information:
+#>    Observed stochastic nodes: 63
+#>    Unobserved stochastic nodes: 24
+#>    Total graph size: 353
+#> . Reading parameter file inits1.txt
+#> . Initializing model
+#> . Adapting 100
+#> -------------------------------------------------| 100
+#> ++++++++++++++++++++++++++++++++++++++++++++++++++ 100%
+#> Adaptation successful
+#> . Updating 250
+#> -------------------------------------------------| 250
+#> ************************************************** 100%
+#> . . Updating 250
+#> -------------------------------------------------| 250
+#> ************************************************** 100%
+#> . . . . Updating 0
+#> . Deleting model
+#> . 
+#> Simulation complete.  Reading coda files...
+#> Coda files loaded successfully
 #> Calculating summary statistics...
 #> Finished running the simulation
-#> 
  |                                                                            
  |====================================================                  |  75%Compiling rjags model...
-#> Calling the simulation using the rjags method...
-#> Adapting the model for 100 iterations...
-#> Burning in the model for 250 iterations...
-#> Running the model for 250 iterations...
-#> Simulation complete
+#> 
  |                                                                            
  |===================================                                   |  50%Calling the simulation...
+#> Welcome to JAGS 4.3.0 on Mon Sep 23 16:20:20 2024
+#> JAGS is free software and comes with ABSOLUTELY NO WARRANTY
+#> Loading module: basemod: ok
+#> Loading module: bugs: ok
+#> . . Reading data file data.txt
+#> . Compiling model graph
+#>    Resolving undeclared variables
+#>    Allocating nodes
+#> Graph information:
+#>    Observed stochastic nodes: 71
+#>    Unobserved stochastic nodes: 26
+#>    Total graph size: 387
+#> . Reading parameter file inits1.txt
+#> . Initializing model
+#> . Adapting 100
+#> -------------------------------------------------| 100
+#> ++++++++++++++++++++++++++++++++++++++++++++++++++ 100%
+#> Adaptation successful
+#> . Updating 250
+#> -------------------------------------------------| 250
+#> ************************************************** 100%
+#> . . Updating 250
+#> -------------------------------------------------| 250
+#> ************************************************** 100%
+#> . . . . Updating 0
+#> . Deleting model
+#> . 
+#> Simulation complete.  Reading coda files...
+#> Coda files loaded successfully
 #> Calculating summary statistics...
 #> Finished running the simulation
-#> 
  |                                                                            
  |======================================================                |  78%Compiling rjags model...
-#> Calling the simulation using the rjags method...
-#> Adapting the model for 100 iterations...
-#> Burning in the model for 250 iterations...
-#> Running the model for 250 iterations...
-#> Simulation complete
+#> 
  |                                                                            
  |=====================================                                 |  52%Calling the simulation...
+#> Welcome to JAGS 4.3.0 on Mon Sep 23 16:20:22 2024
+#> JAGS is free software and comes with ABSOLUTELY NO WARRANTY
+#> Loading module: basemod: ok
+#> Loading module: bugs: ok
+#> . . Reading data file data.txt
+#> . Compiling model graph
+#>    Resolving undeclared variables
+#>    Allocating nodes
+#> Graph information:
+#>    Observed stochastic nodes: 70
+#>    Unobserved stochastic nodes: 26
+#>    Total graph size: 387
+#> . Reading parameter file inits1.txt
+#> . Initializing model
+#> . Adapting 100
+#> -------------------------------------------------| 100
+#> ++++++++++++++++++++++++++++++++++++++++++++++++++ 100%
+#> Adaptation successful
+#> . Updating 250
+#> -------------------------------------------------| 250
+#> ************************************************** 100%
+#> . . Updating 250
+#> -------------------------------------------------| 250
+#> ************************************************** 100%
+#> . . . . Updating 0
+#> . Deleting model
+#> . 
+#> Simulation complete.  Reading coda files...
+#> Coda files loaded successfully
 #> Calculating summary statistics...
 #> Finished running the simulation
-#> 
  |                                                                            
  |========================================================              |  80%Compiling rjags model...
-#> Calling the simulation using the rjags method...
-#> Adapting the model for 100 iterations...
-#> Burning in the model for 250 iterations...
-#> Running the model for 250 iterations...
-#> Simulation complete
+#> 
  |                                                                            
  |======================================                                |  55%Calling the simulation...
+#> Welcome to JAGS 4.3.0 on Mon Sep 23 16:20:24 2024
+#> JAGS is free software and comes with ABSOLUTELY NO WARRANTY
+#> Loading module: basemod: ok
+#> Loading module: bugs: ok
+#> . . Reading data file data.txt
+#> . Compiling model graph
+#>    Resolving undeclared variables
+#>    Allocating nodes
+#> Graph information:
+#>    Observed stochastic nodes: 70
+#>    Unobserved stochastic nodes: 26
+#>    Total graph size: 387
+#> . Reading parameter file inits1.txt
+#> . Initializing model
+#> . Adapting 100
+#> -------------------------------------------------| 100
+#> ++++++++++++++++++++++++++++++++++++++++++++++++++ 100%
+#> Adaptation successful
+#> . Updating 250
+#> -------------------------------------------------| 250
+#> ************************************************** 100%
+#> . . Updating 250
+#> -------------------------------------------------| 250
+#> ************************************************** 100%
+#> . . . . Updating 0
+#> . Deleting model
+#> . 
+#> Simulation complete.  Reading coda files...
+#> Coda files loaded successfully
 #> Calculating summary statistics...
 #> Finished running the simulation
-#> 
  |                                                                            
  |==========================================================            |  82%Compiling rjags model...
-#> Calling the simulation using the rjags method...
-#> Adapting the model for 100 iterations...
-#> Burning in the model for 250 iterations...
-#> Running the model for 250 iterations...
-#> Simulation complete
+#> 
  |                                                                            
  |========================================                              |  58%Calling the simulation...
+#> Welcome to JAGS 4.3.0 on Mon Sep 23 16:20:26 2024
+#> JAGS is free software and comes with ABSOLUTELY NO WARRANTY
+#> Loading module: basemod: ok
+#> Loading module: bugs: ok
+#> . . Reading data file data.txt
+#> . Compiling model graph
+#>    Resolving undeclared variables
+#>    Allocating nodes
+#> Graph information:
+#>    Observed stochastic nodes: 68
+#>    Unobserved stochastic nodes: 26
+#>    Total graph size: 387
+#> . Reading parameter file inits1.txt
+#> . Initializing model
+#> . Adapting 100
+#> -------------------------------------------------| 100
+#> ++++++++++++++++++++++++++++++++++++++++++++++++++ 100%
+#> Adaptation successful
+#> . Updating 250
+#> -------------------------------------------------| 250
+#> ************************************************** 100%
+#> . . Updating 250
+#> -------------------------------------------------| 250
+#> ************************************************** 100%
+#> . . . . Updating 0
+#> . Deleting model
+#> . 
+#> Simulation complete.  Reading coda files...
+#> Coda files loaded successfully
 #> Calculating summary statistics...
 #> Finished running the simulation
-#> 
  |                                                                            
  |============================================================          |  85%Compiling rjags model...
-#> Calling the simulation using the rjags method...
-#> Adapting the model for 100 iterations...
-#> Burning in the model for 250 iterations...
-#> Running the model for 250 iterations...
-#> Simulation complete
+#> 
  |                                                                            
  |==========================================                            |  60%Calling the simulation...
+#> Welcome to JAGS 4.3.0 on Mon Sep 23 16:20:27 2024
+#> JAGS is free software and comes with ABSOLUTELY NO WARRANTY
+#> Loading module: basemod: ok
+#> Loading module: bugs: ok
+#> . . Reading data file data.txt
+#> . Compiling model graph
+#>    Resolving undeclared variables
+#>    Allocating nodes
+#> Graph information:
+#>    Observed stochastic nodes: 61
+#>    Unobserved stochastic nodes: 24
+#>    Total graph size: 353
+#> . Reading parameter file inits1.txt
+#> . Initializing model
+#> . Adapting 100
+#> -------------------------------------------------| 100
+#> ++++++++++++++++++++++++++++++++++++++++++++++++++ 100%
+#> Adaptation successful
+#> . Updating 250
+#> -------------------------------------------------| 250
+#> ************************************************** 100%
+#> . . Updating 250
+#> -------------------------------------------------| 250
+#> ************************************************** 100%
+#> . . . . Updating 0
+#> . Deleting model
+#> . 
+#> Simulation complete.  Reading coda files...
+#> Coda files loaded successfully
 #> Calculating summary statistics...
 #> Finished running the simulation
-#> 
  |                                                                            
  |=============================================================         |  88%Compiling rjags model...
-#> Calling the simulation using the rjags method...
-#> Adapting the model for 100 iterations...
-#> Burning in the model for 250 iterations...
-#> Running the model for 250 iterations...
-#> Simulation complete
+#> 
  |                                                                            
  |============================================                          |  62%Calling the simulation...
+#> Welcome to JAGS 4.3.0 on Mon Sep 23 16:20:29 2024
+#> JAGS is free software and comes with ABSOLUTELY NO WARRANTY
+#> Loading module: basemod: ok
+#> Loading module: bugs: ok
+#> . . Reading data file data.txt
+#> . Compiling model graph
+#>    Resolving undeclared variables
+#>    Allocating nodes
+#> Graph information:
+#>    Observed stochastic nodes: 71
+#>    Unobserved stochastic nodes: 26
+#>    Total graph size: 387
+#> . Reading parameter file inits1.txt
+#> . Initializing model
+#> . Adapting 100
+#> -------------------------------------------------| 100
+#> ++++++++++++++++++++++++++++++++++++++++++++++++++ 100%
+#> Adaptation successful
+#> . Updating 250
+#> -------------------------------------------------| 250
+#> ************************************************** 100%
+#> . . Updating 250
+#> -------------------------------------------------| 250
+#> ************************************************** 100%
+#> . . . . Updating 0
+#> . Deleting model
+#> . 
+#> Simulation complete.  Reading coda files...
+#> Coda files loaded successfully
 #> Calculating summary statistics...
 #> Finished running the simulation
-#> 
  |                                                                            
  |===============================================================       |  90%Compiling rjags model...
-#> Calling the simulation using the rjags method...
-#> Adapting the model for 100 iterations...
-#> Burning in the model for 250 iterations...
-#> Running the model for 250 iterations...
-#> Simulation complete
+#> 
  |                                                                            
  |==============================================                        |  65%Calling the simulation...
+#> Welcome to JAGS 4.3.0 on Mon Sep 23 16:20:31 2024
+#> JAGS is free software and comes with ABSOLUTELY NO WARRANTY
+#> Loading module: basemod: ok
+#> Loading module: bugs: ok
+#> . . Reading data file data.txt
+#> . Compiling model graph
+#>    Resolving undeclared variables
+#>    Allocating nodes
+#> Graph information:
+#>    Observed stochastic nodes: 70
+#>    Unobserved stochastic nodes: 26
+#>    Total graph size: 387
+#> . Reading parameter file inits1.txt
+#> . Initializing model
+#> . Adapting 100
+#> -------------------------------------------------| 100
+#> ++++++++++++++++++++++++++++++++++++++++++++++++++ 100%
+#> Adaptation successful
+#> . Updating 250
+#> -------------------------------------------------| 250
+#> ************************************************** 100%
+#> . . Updating 250
+#> -------------------------------------------------| 250
+#> ************************************************** 100%
+#> . . . . Updating 0
+#> . Deleting model
+#> . 
+#> Simulation complete.  Reading coda files...
+#> Coda files loaded successfully
 #> Calculating summary statistics...
 #> Finished running the simulation
-#> 
  |                                                                            
  |=================================================================     |  92%Compiling rjags model...
-#> Calling the simulation using the rjags method...
-#> Adapting the model for 100 iterations...
-#> Burning in the model for 250 iterations...
-#> Running the model for 250 iterations...
-#> Simulation complete
+#> 
  |                                                                            
  |===============================================                       |  68%Calling the simulation...
+#> Welcome to JAGS 4.3.0 on Mon Sep 23 16:20:33 2024
+#> JAGS is free software and comes with ABSOLUTELY NO WARRANTY
+#> Loading module: basemod: ok
+#> Loading module: bugs: ok
+#> . . Reading data file data.txt
+#> . Compiling model graph
+#>    Resolving undeclared variables
+#>    Allocating nodes
+#> Graph information:
+#>    Observed stochastic nodes: 70
+#>    Unobserved stochastic nodes: 26
+#>    Total graph size: 387
+#> . Reading parameter file inits1.txt
+#> . Initializing model
+#> . Adapting 100
+#> -------------------------------------------------| 100
+#> ++++++++++++++++++++++++++++++++++++++++++++++++++ 100%
+#> Adaptation successful
+#> . Updating 250
+#> -------------------------------------------------| 250
+#> ************************************************** 100%
+#> . . Updating 250
+#> -------------------------------------------------| 250
+#> ************************************************** 100%
+#> . . . . Updating 0
+#> . Deleting model
+#> . 
+#> Simulation complete.  Reading coda files...
+#> Coda files loaded successfully
 #> Calculating summary statistics...
 #> Finished running the simulation
-#> 
  |                                                                            
  |==================================================================    |  95%Compiling rjags model...
-#> Calling the simulation using the rjags method...
-#> Adapting the model for 100 iterations...
-#> Burning in the model for 250 iterations...
-#> Running the model for 250 iterations...
-#> Simulation complete
+#> 
  |                                                                            
  |=================================================                     |  70%Calling the simulation...
+#> Welcome to JAGS 4.3.0 on Mon Sep 23 16:20:35 2024
+#> JAGS is free software and comes with ABSOLUTELY NO WARRANTY
+#> Loading module: basemod: ok
+#> Loading module: bugs: ok
+#> . . Reading data file data.txt
+#> . Compiling model graph
+#>    Resolving undeclared variables
+#>    Allocating nodes
+#> Graph information:
+#>    Observed stochastic nodes: 68
+#>    Unobserved stochastic nodes: 26
+#>    Total graph size: 387
+#> . Reading parameter file inits1.txt
+#> . Initializing model
+#> . Adapting 100
+#> -------------------------------------------------| 100
+#> ++++++++++++++++++++++++++++++++++++++++++++++++++ 100%
+#> Adaptation successful
+#> . Updating 250
+#> -------------------------------------------------| 250
+#> ************************************************** 100%
+#> . . Updating 250
+#> -------------------------------------------------| 250
+#> ************************************************** 100%
+#> . . . . Updating 0
+#> . Deleting model
+#> . 
+#> Simulation complete.  Reading coda files...
+#> Coda files loaded successfully
 #> Calculating summary statistics...
 #> Finished running the simulation
-#> 
  |                                                                            
  |====================================================================  |  98%Compiling rjags model...
-#> Calling the simulation using the rjags method...
-#> Adapting the model for 100 iterations...
-#> Burning in the model for 250 iterations...
-#> Running the model for 250 iterations...
-#> Simulation complete
+#> 
  |                                                                            
  |===================================================                   |  72%Calling the simulation...
+#> Welcome to JAGS 4.3.0 on Mon Sep 23 16:20:37 2024
+#> JAGS is free software and comes with ABSOLUTELY NO WARRANTY
+#> Loading module: basemod: ok
+#> Loading module: bugs: ok
+#> . . Reading data file data.txt
+#> . Compiling model graph
+#>    Resolving undeclared variables
+#>    Allocating nodes
+#> Graph information:
+#>    Observed stochastic nodes: 61
+#>    Unobserved stochastic nodes: 24
+#>    Total graph size: 353
+#> . Reading parameter file inits1.txt
+#> . Initializing model
+#> . Adapting 100
+#> -------------------------------------------------| 100
+#> ++++++++++++++++++++++++++++++++++++++++++++++++++ 100%
+#> Adaptation successful
+#> . Updating 250
+#> -------------------------------------------------| 250
+#> ************************************************** 100%
+#> . . Updating 250
+#> -------------------------------------------------| 250
+#> ************************************************** 100%
+#> . . . . Updating 0
+#> . Deleting model
+#> . 
+#> Simulation complete.  Reading coda files...
+#> Coda files loaded successfully
+#> Calculating summary statistics...
+#> Finished running the simulation
+#> 
  |                                                                            
  |====================================================                  |  75%Calling the simulation...
+#> Welcome to JAGS 4.3.0 on Mon Sep 23 16:20:39 2024
+#> JAGS is free software and comes with ABSOLUTELY NO WARRANTY
+#> Loading module: basemod: ok
+#> Loading module: bugs: ok
+#> . . Reading data file data.txt
+#> . Compiling model graph
+#>    Resolving undeclared variables
+#>    Allocating nodes
+#> Graph information:
+#>    Observed stochastic nodes: 71
+#>    Unobserved stochastic nodes: 26
+#>    Total graph size: 387
+#> . Reading parameter file inits1.txt
+#> . Initializing model
+#> . Adapting 100
+#> -------------------------------------------------| 100
+#> ++++++++++++++++++++++++++++++++++++++++++++++++++ 100%
+#> Adaptation successful
+#> . Updating 250
+#> -------------------------------------------------| 250
+#> ************************************************** 100%
+#> . . Updating 250
+#> -------------------------------------------------| 250
+#> ************************************************** 100%
+#> . . . . Updating 0
+#> . Deleting model
+#> . 
+#> Simulation complete.  Reading coda files...
+#> Coda files loaded successfully
+#> Calculating summary statistics...
+#> Finished running the simulation
+#> 
  |                                                                            
  |======================================================                |  78%Calling the simulation...
+#> Welcome to JAGS 4.3.0 on Mon Sep 23 16:20:40 2024
+#> JAGS is free software and comes with ABSOLUTELY NO WARRANTY
+#> Loading module: basemod: ok
+#> Loading module: bugs: ok
+#> . . Reading data file data.txt
+#> . Compiling model graph
+#>    Resolving undeclared variables
+#>    Allocating nodes
+#> Graph information:
+#>    Observed stochastic nodes: 70
+#>    Unobserved stochastic nodes: 26
+#>    Total graph size: 387
+#> . Reading parameter file inits1.txt
+#> . Initializing model
+#> . Adapting 100
+#> -------------------------------------------------| 100
+#> ++++++++++++++++++++++++++++++++++++++++++++++++++ 100%
+#> Adaptation successful
+#> . Updating 250
+#> -------------------------------------------------| 250
+#> ************************************************** 100%
+#> . . Updating 250
+#> -------------------------------------------------| 250
+#> ************************************************** 100%
+#> . . . . Updating 0
+#> . Deleting model
+#> . 
+#> Simulation complete.  Reading coda files...
+#> Coda files loaded successfully
+#> Calculating summary statistics...
+#> Finished running the simulation
+#> 
  |                                                                            
  |========================================================              |  80%Calling the simulation...
+#> Welcome to JAGS 4.3.0 on Mon Sep 23 16:20:42 2024
+#> JAGS is free software and comes with ABSOLUTELY NO WARRANTY
+#> Loading module: basemod: ok
+#> Loading module: bugs: ok
+#> . . Reading data file data.txt
+#> . Compiling model graph
+#>    Resolving undeclared variables
+#>    Allocating nodes
+#> Graph information:
+#>    Observed stochastic nodes: 70
+#>    Unobserved stochastic nodes: 26
+#>    Total graph size: 387
+#> . Reading parameter file inits1.txt
+#> . Initializing model
+#> . Adapting 100
+#> -------------------------------------------------| 100
+#> ++++++++++++++++++++++++++++++++++++++++++++++++++ 100%
+#> Adaptation successful
+#> . Updating 250
+#> -------------------------------------------------| 250
+#> ************************************************** 100%
+#> . . Updating 250
+#> -------------------------------------------------| 250
+#> ************************************************** 100%
+#> . . . . Updating 0
+#> . Deleting model
+#> . 
+#> Simulation complete.  Reading coda files...
+#> Coda files loaded successfully
+#> Calculating summary statistics...
+#> Finished running the simulation
+#> 
  |                                                                            
  |==========================================================            |  82%Calling the simulation...
+#> Welcome to JAGS 4.3.0 on Mon Sep 23 16:20:44 2024
+#> JAGS is free software and comes with ABSOLUTELY NO WARRANTY
+#> Loading module: basemod: ok
+#> Loading module: bugs: ok
+#> . . Reading data file data.txt
+#> . Compiling model graph
+#>    Resolving undeclared variables
+#>    Allocating nodes
+#> Graph information:
+#>    Observed stochastic nodes: 68
+#>    Unobserved stochastic nodes: 26
+#>    Total graph size: 387
+#> . Reading parameter file inits1.txt
+#> . Initializing model
+#> . Adapting 100
+#> -------------------------------------------------| 100
+#> ++++++++++++++++++++++++++++++++++++++++++++++++++ 100%
+#> Adaptation successful
+#> . Updating 250
+#> -------------------------------------------------| 250
+#> ************************************************** 100%
+#> . . Updating 250
+#> -------------------------------------------------| 250
+#> ************************************************** 100%
+#> . . . . Updating 0
+#> . Deleting model
+#> . 
+#> Simulation complete.  Reading coda files...
+#> Coda files loaded successfully
+#> Calculating summary statistics...
+#> Finished running the simulation
+#> 
  |                                                                            
  |============================================================          |  85%Calling the simulation...
+#> Welcome to JAGS 4.3.0 on Mon Sep 23 16:20:46 2024
+#> JAGS is free software and comes with ABSOLUTELY NO WARRANTY
+#> Loading module: basemod: ok
+#> Loading module: bugs: ok
+#> . . Reading data file data.txt
+#> . Compiling model graph
+#>    Resolving undeclared variables
+#>    Allocating nodes
+#> Graph information:
+#>    Observed stochastic nodes: 61
+#>    Unobserved stochastic nodes: 24
+#>    Total graph size: 353
+#> . Reading parameter file inits1.txt
+#> . Initializing model
+#> . Adapting 100
+#> -------------------------------------------------| 100
+#> ++++++++++++++++++++++++++++++++++++++++++++++++++ 100%
+#> Adaptation successful
+#> . Updating 250
+#> -------------------------------------------------| 250
+#> ************************************************** 100%
+#> . . Updating 250
+#> -------------------------------------------------| 250
+#> ************************************************** 100%
+#> . . . . Updating 0
+#> . Deleting model
+#> . 
+#> Simulation complete.  Reading coda files...
+#> Coda files loaded successfully
+#> Calculating summary statistics...
+#> Finished running the simulation
+#> 
  |                                                                            
  |=============================================================         |  88%Calling the simulation...
+#> Welcome to JAGS 4.3.0 on Mon Sep 23 16:20:48 2024
+#> JAGS is free software and comes with ABSOLUTELY NO WARRANTY
+#> Loading module: basemod: ok
+#> Loading module: bugs: ok
+#> . . Reading data file data.txt
+#> . Compiling model graph
+#>    Resolving undeclared variables
+#>    Allocating nodes
+#> Graph information:
+#>    Observed stochastic nodes: 71
+#>    Unobserved stochastic nodes: 26
+#>    Total graph size: 387
+#> . Reading parameter file inits1.txt
+#> . Initializing model
+#> . Adapting 100
+#> -------------------------------------------------| 100
+#> ++++++++++++++++++++++++++++++++++++++++++++++++++ 100%
+#> Adaptation successful
+#> . Updating 250
+#> -------------------------------------------------| 250
+#> ************************************************** 100%
+#> . . Updating 250
+#> -------------------------------------------------| 250
+#> ************************************************** 100%
+#> . . . . Updating 0
+#> . Deleting model
+#> . 
+#> Simulation complete.  Reading coda files...
+#> Coda files loaded successfully
+#> Calculating summary statistics...
+#> Finished running the simulation
+#> 
  |                                                                            
  |===============================================================       |  90%Calling the simulation...
+#> Welcome to JAGS 4.3.0 on Mon Sep 23 16:20:50 2024
+#> JAGS is free software and comes with ABSOLUTELY NO WARRANTY
+#> Loading module: basemod: ok
+#> Loading module: bugs: ok
+#> . . Reading data file data.txt
+#> . Compiling model graph
+#>    Resolving undeclared variables
+#>    Allocating nodes
+#> Graph information:
+#>    Observed stochastic nodes: 70
+#>    Unobserved stochastic nodes: 26
+#>    Total graph size: 387
+#> . Reading parameter file inits1.txt
+#> . Initializing model
+#> . Adapting 100
+#> -------------------------------------------------| 100
+#> ++++++++++++++++++++++++++++++++++++++++++++++++++ 100%
+#> Adaptation successful
+#> . Updating 250
+#> -------------------------------------------------| 250
+#> ************************************************** 100%
+#> . . Updating 250
+#> -------------------------------------------------| 250
+#> ************************************************** 100%
+#> . . . . Updating 0
+#> . Deleting model
+#> . 
+#> Simulation complete.  Reading coda files...
+#> Coda files loaded successfully
+#> Calculating summary statistics...
+#> Finished running the simulation
+#> 
  |                                                                            
  |=================================================================     |  92%Calling the simulation...
+#> Welcome to JAGS 4.3.0 on Mon Sep 23 16:20:52 2024
+#> JAGS is free software and comes with ABSOLUTELY NO WARRANTY
+#> Loading module: basemod: ok
+#> Loading module: bugs: ok
+#> . . Reading data file data.txt
+#> . Compiling model graph
+#>    Resolving undeclared variables
+#>    Allocating nodes
+#> Graph information:
+#>    Observed stochastic nodes: 70
+#>    Unobserved stochastic nodes: 26
+#>    Total graph size: 387
+#> . Reading parameter file inits1.txt
+#> . Initializing model
+#> . Adapting 100
+#> -------------------------------------------------| 100
+#> ++++++++++++++++++++++++++++++++++++++++++++++++++ 100%
+#> Adaptation successful
+#> . Updating 250
+#> -------------------------------------------------| 250
+#> ************************************************** 100%
+#> . . Updating 250
+#> -------------------------------------------------| 250
+#> ************************************************** 100%
+#> . . . . Updating 0
+#> . Deleting model
+#> . 
+#> Simulation complete.  Reading coda files...
+#> Coda files loaded successfully
+#> Calculating summary statistics...
+#> Finished running the simulation
+#> 
  |                                                                            
  |==================================================================    |  95%Calling the simulation...
+#> Welcome to JAGS 4.3.0 on Mon Sep 23 16:20:53 2024
+#> JAGS is free software and comes with ABSOLUTELY NO WARRANTY
+#> Loading module: basemod: ok
+#> Loading module: bugs: ok
+#> . . Reading data file data.txt
+#> . Compiling model graph
+#>    Resolving undeclared variables
+#>    Allocating nodes
+#> Graph information:
+#>    Observed stochastic nodes: 68
+#>    Unobserved stochastic nodes: 26
+#>    Total graph size: 387
+#> . Reading parameter file inits1.txt
+#> . Initializing model
+#> . Adapting 100
+#> -------------------------------------------------| 100
+#> ++++++++++++++++++++++++++++++++++++++++++++++++++ 100%
+#> Adaptation successful
+#> . Updating 250
+#> -------------------------------------------------| 250
+#> ************************************************** 100%
+#> . . Updating 250
+#> -------------------------------------------------| 250
+#> ************************************************** 100%
+#> . . . . Updating 0
+#> . Deleting model
+#> . 
+#> Simulation complete.  Reading coda files...
+#> Coda files loaded successfully
+#> Calculating summary statistics...
+#> Finished running the simulation
+#> 
  |                                                                            
  |====================================================================  |  98%Calling the simulation...
+#> Welcome to JAGS 4.3.0 on Mon Sep 23 16:20:55 2024
+#> JAGS is free software and comes with ABSOLUTELY NO WARRANTY
+#> Loading module: basemod: ok
+#> Loading module: bugs: ok
+#> . . Reading data file data.txt
+#> . Compiling model graph
+#>    Resolving undeclared variables
+#>    Allocating nodes
+#> Graph information:
+#>    Observed stochastic nodes: 61
+#>    Unobserved stochastic nodes: 24
+#>    Total graph size: 353
+#> . Reading parameter file inits1.txt
+#> . Initializing model
+#> . Adapting 100
+#> -------------------------------------------------| 100
+#> ++++++++++++++++++++++++++++++++++++++++++++++++++ 100%
+#> Adaptation successful
+#> . Updating 250
+#> -------------------------------------------------| 250
+#> ************************************************** 100%
+#> . . Updating 250
+#> -------------------------------------------------| 250
+#> ************************************************** 100%
+#> . . . . Updating 0
+#> . Deleting model
+#> . 
+#> Simulation complete.  Reading coda files...
+#> Coda files loaded successfully
 #> Calculating summary statistics...
 #> Finished running the simulation
 #> 
  |                                                                            
  |======================================================================| 100%
@@ -762,27 +1710,23 @@ 
    Examples
    
 # }
    -
    - -
    +
    - + - - diff --git a/docs/reference/fit_xgb_occupancy_models.html b/docs/reference/fit_xgb_occupancy_models.html index 1dfdec3..fc41ba7 100644 --- a/docs/reference/fit_xgb_occupancy_models.html +++ b/docs/reference/fit_xgb_occupancy_models.html @@ -1,65 +1,51 @@ -Fit boosted regression tree models to predict occupancy — fit_xgb_occupancy_models • surveyvoiFit boosted regression tree models to predict occupancy — fit_xgb_occupancy_models • surveyvoi - - -
    -
    -
    -
    -

    Fit boosted regression tree models to predict occupancy

    - Source: R/fit_xgb_occupancy_models.R - + +
    +
    +
    +
    + +

    Fit boosted regression tree models to predict occupancy

    + Source: R/fit_xgb_occupancy_models.R +
    fit_xgb_occupancy_models.Rd
    -
    +

    Estimate probability of occupancy for a set of features in a set of planning units. Models are fitted using gradient boosted trees (via xgboost::xgb.train()).

    -
    +
    +

    Usage

    fit_xgb_occupancy_models(
   site_data,
   feature_data,
@@ -78,17 +64,19 @@ 
    Fit boosted regression tree models to predict occupancy
    
 )
    -
    -

    Arguments

    -
    site_data
    +
    +

    Arguments

    + + +
    site_data

    sf::sf() object with site data.

    -
    feature_data
    +
    feature_data

    base::data.frame() object with feature data.

    -
    site_detection_columns
    +
    site_detection_columns

    character names of numeric columns in the argument to site_data that contain the proportion of surveys conducted within each site that detected each feature. @@ -97,7 +85,7 @@

    Arguments

    not previously been surveyed, a value of zero should be used.

    -
    site_n_surveys_columns
    +
    site_n_surveys_columns

    character names of numeric columns in the argument to site_data that contain the total number of surveys conducted for each each feature within each site. @@ -106,7 +94,7 @@

    Arguments

    not previously been surveyed, a value of zero should be used.

    -
    site_env_vars_columns
    +
    site_env_vars_columns

    character names of columns in the argument to site_data that contain environmental information for fitting updated occupancy models based on possible survey outcomes. @@ -115,7 +103,7 @@

    Arguments

    No missing (NA) values are permitted in these columns.

    -
    feature_survey_sensitivity_column
    +
    feature_survey_sensitivity_column

    character name of the column in the argument to feature_data that contains probability of future surveys correctly detecting a presence of each @@ -124,7 +112,7 @@

    Arguments

    one. No missing (NA) values are permitted in this column.

    -
    feature_survey_specificity_column
    +
    feature_survey_specificity_column

    character name of the column in the argument to feature_data that contains probability of future surveys correctly detecting an absence of each @@ -133,7 +121,7 @@

    Arguments

    one. No missing (NA) values are permitted in this column.

    -
    xgb_tuning_parameters
    +
    xgb_tuning_parameters

    list object containing the candidate parameter values for fitting models. Valid parameters include: "max_depth", "eta", "lambda", @@ -142,44 +130,42 @@

    Arguments

    xgboost::xgb.train() for more information.

    -
    xgb_early_stopping_rounds
    +
    xgb_early_stopping_rounds

    numeric model rounds for parameter tuning. See xgboost::xgboost() for more information. Defaults to 10 for each feature.

    -
    xgb_n_rounds
    +
    xgb_n_rounds

    numeric model rounds for model fitting See xgboost::xgboost() for more information. Defaults to 100 for each feature.

    -
    n_folds
    +
    n_folds

    numeric number of folds to split the training data into when fitting models for each feature. Defaults to 5 for each feature.

    -
    n_threads
    +
    n_threads

    integer number of threads to use for parameter tuning. Defaults to 1.

    -
    seed
    +
    seed

    integer initial random number generator state for model fitting. Defaults to 500.

    -
    verbose
    +
    verbose

    logical indicating if information should be printed during computations. Defaults to FALSE.

    -
    -

    Value

    - - -

    A list object containing:

    parameters
    +
    +

    Value

    +

    A list object containing:

    parameters

    list of list objects containing the best tuning parameters for each feature.

    @@ -250,8 +236,8 @@

    Value

    -
    -

    Details

    +
    +

    Details

    This function (i) prepares the data for model fitting, (ii) calibrates the tuning parameters for model fitting (see xgboost::xgb.train() for details on tuning parameters), (iii) generate predictions using @@ -272,8 +258,8 @@

    Details

    is calculated as the mean value across each of the training folds (i.e. number of absence divided by number of presences per feature). For a given parameter combination, models are fit using k-fold cross- -validation (via xgboost::xgb.cv()) -- using the previously -mentioned training and evaluation folds -- and the True Skill Statistic +validation (via xgboost::xgb.cv()) – using the previously +mentioned training and evaluation folds – and the True Skill Statistic (TSS) calculated using the data held out from each fold is used to quantify the performance (i.e. "test_tss_mean" column in output). These models are also fitted using the @@ -294,8 +280,8 @@

    Details

    the models' training and evaluation folds.

    -
    -

    Examples

    +
    +

    Examples

    # \dontrun{
 # set seeds for reproducibility
 set.seed(123)
@@ -385,36 +371,32 @@ 
    Examples
    
 #> 2                     0                  0.976                0.0142
 #>   test_tss_mean test_tss_std test_sensitivity_mean test_sensitivity_std
 #>           <dbl>        <dbl>                 <dbl>                <dbl>
-#> 1         0.669        0.433                 0.900               0.224 
-#> 2         0.729        0.253                 0.992               0.0174
+#> 1         0.607        0.395                 0.839                0.231
+#> 2         0.703        0.229                 1.00                 0    
 #>   test_specificity_mean test_specificity_std
 #>                   <dbl>                <dbl>
 #> 1                 0.769                0.265
-#> 2                 0.737                0.263
+#> 2                 0.703                0.229
 # }
    -
    - -
    +
    -
    + - - diff --git a/docs/reference/geo_cov_survey_scheme.html b/docs/reference/geo_cov_survey_scheme.html index 3f61814..24adce2 100644 --- a/docs/reference/geo_cov_survey_scheme.html +++ b/docs/reference/geo_cov_survey_scheme.html @@ -1,63 +1,48 @@ -Geographic coverage survey scheme — geo_cov_survey_scheme • surveyvoi - - -
    -
    -
    -
    -

    Geographic coverage survey scheme

    - Source: R/geo_cov_survey_scheme.R - +
    +
    +
    +
    + +

    Geographic coverage survey scheme

    + Source: R/geo_cov_survey_scheme.R +
    geo_cov_survey_scheme.Rd
    -
    +

    Generate a survey scheme by maximizing the geographic coverage of surveys.

    -
    +
    +

    Usage

    geo_cov_survey_scheme(
   site_data,
   cost_column,
@@ -70,25 +55,27 @@ 
    Geographic coverage survey scheme
    
 )
    -
    -

    Arguments

    -
    site_data
    +
    +

    Arguments

    + + +
    site_data

    sf::sf() object containing the candidate survey sites.

    -
    cost_column
    +
    cost_column

    character name of the column in the argument to the argument to site_data that contains the cost for surveying each site. No missing (NA) values are permitted.

    -
    survey_budget
    +
    survey_budget

    numeric vector of maximum budgets for the survey schemes. No missing (NA) values are permitted.

    -
    locked_in_column
    +
    locked_in_column

    character (optional) name of the column in the argument to site_data that contains logical (TRUE/ FALSE) values indicating if certain sites should be @@ -97,7 +84,7 @@

    Arguments

    Defaults to NULL such that no sites are locked in.

    -
    locked_out_column
    +
    locked_out_column

    character (optional) name of the column in the argument to site_data that contains logical (TRUE/ FALSE) values indicating if certain sites should be @@ -106,13 +93,13 @@

    Arguments

    Defaults to NULL such that no sites are locked out.

    -
    exclude_locked_out
    +
    exclude_locked_out

    logical should locked out planning units be entirely excluded from the optimization process? Defaults to FALSE.

    -
    solver
    +
    solver

    character name of the optimization solver to use for generating survey schemes. Available options include: "Rsymphony", "gurobi" and "auto". @@ -122,27 +109,25 @@

    Arguments

    Defaults to "auto".

    -
    verbose
    +
    verbose

    logical indicating if information should be printed while generating survey scheme(s). Defaults to FALSE.

    -
    -

    Value

    - - -

    A matrix of logical (TRUE/ FALSE) +

    +

    Value

    +

    A matrix of logical (TRUE/ FALSE) values indicating if a site is selected in a scheme or not. Columns correspond to sites, and rows correspond to different schemes.

    -
    -

    Details

    +
    +

    Details

    The integer programming formulation of the p-Median problem (Daskin & Maass 2015) is used to generate survey schemes.

    -
    -

    Solver

    - +
    +

    Solver

    +

    This function can use the Rsymphony package and the Gurobi optimization software to generate @@ -154,14 +139,14 @@

    Solver

    Note that special academic licenses are available at no cost. Installation instructions are available online for Linux, Windows, and Mac OS operating systems.

    -
    -

    References

    +
    +

    References

    Daskin MS & Maass KL (2015) The p-median problem. In Location Science (pp. 21-45). Springer, Cham.

    -
    -

    Examples

    +
    +

    Examples

    # set seed for reproducibility
 set.seed(123)
 
@@ -191,27 +176,23 @@ 
    Examples
    -
    - -
    +
    -
    + - - diff --git a/docs/reference/greedy_heuristic_prioritization.html b/docs/reference/greedy_heuristic_prioritization.html index fe4381c..049f106 100644 --- a/docs/reference/greedy_heuristic_prioritization.html +++ b/docs/reference/greedy_heuristic_prioritization.html @@ -1,61 +1,45 @@ -Greedy heuristic prioritization — greedy_heuristic_prioritization • surveyvoi - - -
    -
    -
    -
    -

    Greedy heuristic prioritization

    - Source: R/greedy_heuristic_optimization.R - +
    +
    +
    +
    + +

    Greedy heuristic prioritization

    + Source: R/greedy_heuristic_optimization.R +
    greedy_heuristic_prioritization.Rd
    -
    +

    Generate a prioritization for protected area establishment.

    -
    +
    +

    Usage

    greedy_heuristic_prioritization(
   site_data,
   feature_data,
@@ -68,17 +52,19 @@ 
    Greedy heuristic prioritization
    
 )
    -
    -

    Arguments

    -
    site_data
    +
    +

    Arguments

    + + +
    site_data

    sf::sf() object with site data.

    -
    feature_data
    +
    feature_data

    base::data.frame() object with feature data.

    -
    site_probability_columns
    +
    site_probability_columns

    character names of numeric columns in the argument to site_data that contain modeled probabilities of occupancy for each feature in each site. @@ -87,7 +73,7 @@

    Arguments

    values are permitted in these columns.

    -
    site_management_cost_column
    +
    site_management_cost_column

    character name of column in the argument to site_data that contains costs for managing each site for conservation. This column should have numeric values that @@ -95,7 +81,7 @@

    Arguments

    permitted in this column.

    -
    feature_target_column
    +
    feature_target_column

    character name of the column in the argument to feature_data that contains the \(target\) values used to parametrize the conservation benefit of managing of each @@ -105,12 +91,12 @@

    Arguments

    permitted in this column.

    -
    total_budget
    +
    total_budget

    numeric maximum expenditure permitted for conducting surveys and managing sites for conservation.

    -
    site_management_locked_in_column
    +
    site_management_locked_in_column

    character name of the column in the argument to site_data that contains logical (TRUE / FALSE) values indicating which sites should @@ -121,7 +107,7 @@

    Arguments

    Defaults to NULL such that no sites are locked in.

    -
    site_management_locked_out_column
    +
    site_management_locked_out_column

    character name of the column in the argument to site_data that contains logical (TRUE / FALSE) values indicating which sites should @@ -132,11 +118,9 @@

    Arguments

    conservation. Defaults to NULL such that no sites are locked out.

    -
    -

    Value

    - - -

    A list containing the following elements:

    x
    +
    +

    Value

    +

    A list containing the following elements:

    x

    logical vector indicating if each site is selected for protection or not.

    @@ -146,8 +130,8 @@

    Value

    -
    -

    Details

    +
    +

    Details

    The prioritization is generated using a greedy heuristic algorithm. The objective function for this algorithm is calculated by: (i) estimating the probability that each species meets its target, @@ -158,8 +142,8 @@

    Details

    in particular sites.

    -
    -

    Examples

    +
    +

    Examples

    # set seeds for reproducibility
 set.seed(123)
 
@@ -169,17 +153,17 @@ 
    Examples
    
 #> Simple feature collection with 6 features and 13 fields
 #> Geometry type: POINT
 #> Dimension:     XY
-#> Bounding box:  xmin: 0.10513 ymin: 0.04556193 xmax: 0.9764926 ymax: 0.8637977
+#> Bounding box:  xmin: 0.02541313 ymin: 0.07851093 xmax: 0.9888107 ymax: 0.717068
 #> CRS:           NA
 #> # A tibble: 6 × 14
-#>   survey_cost management_cost    f1    f2    f3    n1    n2    n3      e1     e2
-#>         <dbl>           <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>   <dbl>  <dbl>
-#> 1          14             102     1   1       1     3     3     3  1.00   -0.848
-#> 2          25              90     0   0       0     0     0     0 -1.44    1.27 
-#> 3          25             165     1   0.6     0     5     5     5  1.25    0.817
-#> 4          17             104     0   0       0     0     0     0 -0.484  -0.292
-#> 5          18             100     0   0       0     0     0     0  0.0135  0.380
-#> 6          15              94     0   0       0     0     0     0 -0.347  -1.33 
+#>   survey_cost management_cost    f1    f2    f3    n1    n2    n3     e1     e2
+#>         <dbl>           <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>  <dbl>  <dbl>
+#> 1          19              99     0     0  0        0     0     0  1.13   0.535
+#> 2          22              87     0     1  0.25     4     4     4 -1.37  -1.45 
+#> 3          13              94     1     1  0        1     1     1  0.155 -0.867
+#> 4          19              61     0     0  0        0     0     0 -0.792  1.32 
+#> 5           9             105     0     0  0        0     0     0 -0.194  0.238
+#> 6          12             136     0     0  0        0     0     0  1.07   0.220
 #> # ℹ 4 more variables: p1 <dbl>, p2 <dbl>, p3 <dbl>, geometry <POINT>
 
 # load example feature data
@@ -188,9 +172,9 @@ 
    Examples
    
 #> # A tibble: 3 × 7
 #>   name  survey survey_sensitivity survey_specificity model_sensitivity
 #>   <chr> <lgl>               <dbl>              <dbl>             <dbl>
-#> 1 f1    TRUE                0.954              0.886             0.718
-#> 2 f2    TRUE                0.974              0.875             0.705
-#> 3 f3    TRUE                0.956              0.823             0.768
+#> 1 f1    TRUE                0.951              0.854             0.711
+#> 2 f2    TRUE                0.990              0.832             0.722
+#> 3 f3    TRUE                0.986              0.808             0.772
 #> # ℹ 2 more variables: model_specificity <dbl>, target <dbl>
 
 # set total budget for managing sites for conservation
@@ -205,35 +189,35 @@ 
    Examples
    
   "target",
   total_budget
 )
-#> Error in greedy_heuristic_prioritization(sim_sites, sim_features, c("p1",     "p2", "p3"), "management_cost", "target", total_budget): could not find function "greedy_heuristic_prioritization"
 
 # print results
 print(results)
-#> Error in h(simpleError(msg, call)): error in evaluating the argument 'x' in selecting a method for function 'print': object 'results' not found
+#> $x
+#> [1]  TRUE FALSE FALSE  TRUE  TRUE FALSE
+#> 
+#> $objval
+#> [1] 0.982308
+#>
    -
    - -
    +
    -
    + - - diff --git a/docs/reference/index.html b/docs/reference/index.html index dda3f71..6bf460c 100644 --- a/docs/reference/index.html +++ b/docs/reference/index.html @@ -1,184 +1,247 @@ -Function reference • surveyvoi - - -
    -
    -
    -
    -

    Reference

    + + + + + +
    +
    +
    +
    + +

    Package index

    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -

    Summary

    -

    Summary of the package

    -
    -

    surveyvoi surveyvoi-package

    -

    surveyvoi: Survey Value of Information

    -

    Survey schemes

    -

    Functions for generating survey schemes

    -
    -

    optimal_survey_scheme()

    -

    Optimal survey scheme

    -

    approx_optimal_survey_scheme()

    -

    Approximately optimal survey scheme

    -

    approx_near_optimal_survey_scheme()

    -

    Approximately near optimal survey scheme

    -

    env_div_survey_scheme()

    -

    Environmental diversity survey scheme

    -

    geo_cov_survey_scheme()

    -

    Geographic coverage survey scheme

    -

    weighted_survey_scheme()

    -

    Weighted survey scheme

    -

    feasible_survey_schemes()

    -

    Find all feasible survey schemes

    -

    Value of information

    -

    Functions for value of information analysis

    -
    -

    evdci()

    -

    Expected value of the decision given current information

    -

    evdsi()

    -

    Expected value of the decision given survey information

    -

    approx_evdsi()

    -

    Approximate expected value of the decision given survey information

    -

    n_states()

    -

    Number of states

    -

    prior_probability_matrix()

    -

    Prior probability matrix

    -

    Occupancy modelling

    -

    Functions for fitting species distribution models

    -
    -

    fit_hglm_occupancy_models()

    -

    Fit hierarchical generalized linear models to predict occupancy

    -

    fit_xgb_occupancy_models()

    -

    Fit boosted regression tree models to predict occupancy

    -

    Simulate data

    -

    Functions for simulating datasets

    -
    -

    simulate_site_data()

    -

    Simulate site data

    -

    simulate_feature_data()

    -

    Simulate feature data

    -

    sim_features sim_sites

    -

    Simulated datasets

    -

    Miscellaneous function

    -

    Assorted functions with varying uses

    -
    -

    greedy_heuristic_prioritization()

    -

    Greedy heuristic prioritization

    -

    relative_site_richness_scores()

    -

    Relative site richness scores

    -

    relative_site_uncertainty_scores()

    -

    Relative site uncertainty scores

    - - -
    +
    +

    Summary

    + +

    Summary of the package

    + + +
    + + + + +
    + + surveyvoi surveyvoi-package + +
    +
    surveyvoi: Survey Value of Information
    +
    +

    Survey schemes

    + +

    Functions for generating survey schemes

    + + +
    + + + + +
    + + optimal_survey_scheme() + +
    +
    Optimal survey scheme
    +
    + + approx_optimal_survey_scheme() + +
    +
    Approximately optimal survey scheme
    +
    + + approx_near_optimal_survey_scheme() + +
    +
    Approximately near optimal survey scheme
    +
    + + env_div_survey_scheme() + +
    +
    Environmental diversity survey scheme
    +
    + + geo_cov_survey_scheme() + +
    +
    Geographic coverage survey scheme
    +
    + + weighted_survey_scheme() + +
    +
    Weighted survey scheme
    +
    + + feasible_survey_schemes() + +
    +
    Find all feasible survey schemes
    +
    +

    Value of information

    + +

    Functions for value of information analysis

    + + +
    + + + + +
    + evdci() -
    +
    Expected value of the decision given current information
    +
    + + evdsi() + +
    +
    Expected value of the decision given survey information
    +
    + + approx_evdsi() + +
    +
    Approximate expected value of the decision given survey information
    +
    + + n_states() + +
    +
    Number of states
    +
    + + prior_probability_matrix() + +
    +
    Prior probability matrix
    +
    +

    Occupancy modelling

    + +

    Functions for fitting species distribution models

    + + +
    + + + + +
    + + fit_hglm_occupancy_models() + +
    +
    Fit hierarchical generalized linear models to predict occupancy
    +
    + + fit_xgb_occupancy_models() + +
    +
    Fit boosted regression tree models to predict occupancy
    +
    +

    Simulate data

    + +

    Functions for simulating datasets

    + + +
    + + + + +
    + + simulate_site_data() + +
    +
    Simulate site data
    +
    + + simulate_feature_data() + +
    +
    Simulate feature data
    +
    + + sim_features sim_sites + +
    +
    Simulated datasets
    +
    +

    Miscellaneous function

    + +

    Assorted functions with varying uses

    + + +
    + + + + +
    + + greedy_heuristic_prioritization() + +
    +
    Greedy heuristic prioritization
    +
    + + relative_site_richness_scores() + +
    +
    Relative site richness scores
    +
    + + relative_site_uncertainty_scores() + +
    +
    Relative site uncertainty scores
    +
    +
    + + +
    +
    + - - diff --git a/docs/reference/n_states.html b/docs/reference/n_states.html index 8899bc0..831d92c 100644 --- a/docs/reference/n_states.html +++ b/docs/reference/n_states.html @@ -1,112 +1,93 @@ -Number of states — n_states • surveyvoi - - -
    -
    -
    -
    -

    Number of states

    - Source: R/n_states.R - +
    +
    +
    +
    + +

    Number of states

    + Source: R/n_states.R +
    n_states.Rd
    -
    +

    Calculate the total number of presence/absence states for a given number of sites and features.

    -
    +
    +

    Usage

    n_states(n_sites, n_features)
    -
    -

    Arguments

    -
    n_sites
    +
    +

    Arguments

    + + +
    n_sites

    numeric number of sites.

    -
    n_features
    +
    n_features

    numeric number of features.

    -
    -

    Value

    - - -

    A numeric value.

    +
    +

    Value

    +

    A numeric value.

    -
    -

    Examples

    +
    +

    Examples

    # calculate number of states for 3 sites and 2 features
 n_states(n_sites = 2, n_features = 3)
 #> [1] 64
    -
    - -
    +
    -
    + - - diff --git a/docs/reference/optimal_survey_scheme.html b/docs/reference/optimal_survey_scheme.html index 2765141..217b8eb 100644 --- a/docs/reference/optimal_survey_scheme.html +++ b/docs/reference/optimal_survey_scheme.html @@ -1,65 +1,51 @@ -Optimal survey scheme — optimal_survey_scheme • surveyvoiOptimal survey scheme — optimal_survey_scheme • surveyvoi - - -
    -
    -
    -
    -

    Optimal survey scheme

    - Source: R/optimal_survey_scheme.R - + + + + + + +
    +
    +
    +
    + +

    Optimal survey scheme

    + Source: R/optimal_survey_scheme.R +
    optimal_survey_scheme.Rd
    -
    +

    Find the optimal survey scheme that maximizes value of information. This function uses the exact method for calculating the expected value of the decision given a survey scheme.

    -
    +
    +

    Usage

    optimal_survey_scheme(
   site_data,
   feature_data,
@@ -85,17 +71,19 @@ 
    Optimal survey scheme
    
 )
    -
    -

    Arguments

    -
    site_data
    +
    +

    Arguments

    + + +
    site_data

    sf::sf() object with site data.

    -
    feature_data
    +
    feature_data

    base::data.frame() object with feature data.

    -
    site_detection_columns
    +
    site_detection_columns

    character names of numeric columns in the argument to site_data that contain the proportion of surveys conducted within each site that detected each feature. @@ -104,7 +92,7 @@

    Arguments

    not previously been surveyed, a value of zero should be used.

    -
    site_n_surveys_columns
    +
    site_n_surveys_columns

    character names of numeric columns in the argument to site_data that contain the total number of surveys conducted for each each feature within each site. @@ -113,7 +101,7 @@

    Arguments

    not previously been surveyed, a value of zero should be used.

    -
    site_probability_columns
    +
    site_probability_columns

    character names of numeric columns in the argument to site_data that contain modeled probabilities of occupancy for each feature in each site. @@ -122,7 +110,7 @@

    Arguments

    values are permitted in these columns.

    -
    site_management_cost_column
    +
    site_management_cost_column

    character name of column in the argument to site_data that contains costs for managing each site for conservation. This column should have numeric values that @@ -130,7 +118,7 @@

    Arguments

    permitted in this column.

    -
    site_survey_cost_column
    +
    site_survey_cost_column

    character name of column in the argument to site_data that contains costs for surveying each site. This column should have numeric values that are equal to @@ -138,7 +126,7 @@

    Arguments

    column.

    -
    feature_survey_column
    +
    feature_survey_column

    character name of the column in the argument to feature_data that contains logical (TRUE / FALSE) values indicating if the feature will be surveyed in @@ -148,7 +136,7 @@

    Arguments

    No missing (NA) values are permitted in this column.

    -
    feature_survey_sensitivity_column
    +
    feature_survey_sensitivity_column

    character name of the column in the argument to feature_data that contains probability of future surveys correctly detecting a presence of each @@ -157,7 +145,7 @@

    Arguments

    one. No missing (NA) values are permitted in this column.

    -
    feature_survey_specificity_column
    +
    feature_survey_specificity_column

    character name of the column in the argument to feature_data that contains probability of future surveys correctly detecting an absence of each @@ -166,7 +154,7 @@

    Arguments

    one. No missing (NA) values are permitted in this column.

    -
    feature_model_sensitivity_column
    +
    feature_model_sensitivity_column

    character name of the column in the argument to feature_data that contains probability of the initial models correctly predicting a presence of each @@ -178,7 +166,7 @@

    Arguments

    fit_hglm_occupancy_models().

    -
    feature_model_specificity_column
    +
    feature_model_specificity_column

    character name of the column in the argument to feature_data that contains probability of the initial models correctly predicting an absence of each @@ -190,7 +178,7 @@

    Arguments

    fit_hglm_occupancy_models().

    -
    feature_target_column
    +
    feature_target_column

    character name of the column in the argument to feature_data that contains the \(target\) values used to parametrize the conservation benefit of managing of each @@ -200,17 +188,17 @@

    Arguments

    permitted in this column.

    -
    total_budget
    +
    total_budget

    numeric maximum expenditure permitted for conducting surveys and managing sites for conservation.

    -
    survey_budget
    +
    survey_budget

    numeric maximum expenditure permitted for conducting surveys.

    -
    site_management_locked_in_column
    +
    site_management_locked_in_column

    character name of the column in the argument to site_data that contains logical (TRUE / FALSE) values indicating which sites should @@ -221,7 +209,7 @@

    Arguments

    Defaults to NULL such that no sites are locked in.

    -
    site_management_locked_out_column
    +
    site_management_locked_out_column

    character name of the column in the argument to site_data that contains logical (TRUE / FALSE) values indicating which sites should @@ -232,7 +220,7 @@

    Arguments

    conservation. Defaults to NULL such that no sites are locked out.

    -
    site_survey_locked_out_column
    +
    site_survey_locked_out_column

    character name of the column in the argument to site_data that contains logical (TRUE / FALSE) values indicating which sites should @@ -244,7 +232,7 @@

    Arguments

    Defaults to NULL such that no sites are locked out.

    -
    prior_matrix
    +
    prior_matrix

    numeric matrix containing the prior probability of each feature occupying each site. Rows correspond to features, and columns correspond to sites. @@ -252,32 +240,26 @@

    Arguments

    using prior_probability_matrix().

    -
    n_threads
    +
    n_threads

    integer number of threads to use for computation.

    -
    verbose
    +
    verbose

    logical indicating if information should be printed during processing. Defaults to FALSE.

    -
    -

    Value

    - - -

    A matrix of logical (TRUE/ FALSE) +

    +

    Value

    +

    A matrix of logical (TRUE/ FALSE) values indicating if a site is selected in the scheme or not. Columns correspond to sites, and rows correspond to different schemes. If there is only one optimal survey scheme then the matrix will only -contain a single row. This matrix also has a numeric

    -

    -

    "ev"

    - - -

    attribute that contains the expected value of each scheme.

    +contain a single row. This matrix also has a numeric "ev" +attribute that contains the expected value of each scheme.

    -
    -

    Details

    +
    +

    Details

    The optimal survey scheme is determined using a brute-force algorithm. Initially, all feasible (valid) survey schemes are identified given the survey costs and the survey budget (using @@ -288,9 +270,9 @@

    Details

    that share this greatest expected value are returned. Due to the nature of this algorithm, it can take a very long time to complete.

    -
    -

    Dependencies

    - +
    +

    Dependencies

    +

    Please note that this function requires the Gurobi optimization software (https://www.gurobi.com/) and the gurobi R package if different @@ -299,8 +281,8 @@

    Dependencies

    (see https://support.gurobi.com/hc/en-us/articles/4534161999889-How-do-I-install-Gurobi-Optimizer).

    -
    -

    Examples

    +
    +

    Examples

    # set seeds for reproducibility
 set.seed(123)
 
@@ -310,17 +292,17 @@ 
    Examples
    
 #> Simple feature collection with 6 features and 13 fields
 #> Geometry type: POINT
 #> Dimension:     XY
-#> Bounding box:  xmin: 0.10513 ymin: 0.04556193 xmax: 0.9764926 ymax: 0.8637977
+#> Bounding box:  xmin: 0.02541313 ymin: 0.07851093 xmax: 0.9888107 ymax: 0.717068
 #> CRS:           NA
 #> # A tibble: 6 × 14
-#>   survey_cost management_cost    f1    f2    f3    n1    n2    n3      e1     e2
-#>         <dbl>           <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>   <dbl>  <dbl>
-#> 1          14             102     1   1       1     3     3     3  1.00   -0.848
-#> 2          25              90     0   0       0     0     0     0 -1.44    1.27 
-#> 3          25             165     1   0.6     0     5     5     5  1.25    0.817
-#> 4          17             104     0   0       0     0     0     0 -0.484  -0.292
-#> 5          18             100     0   0       0     0     0     0  0.0135  0.380
-#> 6          15              94     0   0       0     0     0     0 -0.347  -1.33 
+#>   survey_cost management_cost    f1    f2    f3    n1    n2    n3     e1     e2
+#>         <dbl>           <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>  <dbl>  <dbl>
+#> 1          19              99     0     0  0        0     0     0  1.13   0.535
+#> 2          22              87     0     1  0.25     4     4     4 -1.37  -1.45 
+#> 3          13              94     1     1  0        1     1     1  0.155 -0.867
+#> 4          19              61     0     0  0        0     0     0 -0.792  1.32 
+#> 5           9             105     0     0  0        0     0     0 -0.194  0.238
+#> 6          12             136     0     0  0        0     0     0  1.07   0.220
 #> # ℹ 4 more variables: p1 <dbl>, p2 <dbl>, p3 <dbl>, geometry <POINT>
 
 # load example feature data
@@ -329,9 +311,9 @@ 
    Examples
    
 #> # A tibble: 3 × 7
 #>   name  survey survey_sensitivity survey_specificity model_sensitivity
 #>   <chr> <lgl>               <dbl>              <dbl>             <dbl>
-#> 1 f1    TRUE                0.954              0.886             0.718
-#> 2 f2    TRUE                0.974              0.875             0.705
-#> 3 f3    TRUE                0.956              0.823             0.768
+#> 1 f1    TRUE                0.951              0.854             0.711
+#> 2 f2    TRUE                0.990              0.832             0.722
+#> 3 f3    TRUE                0.986              0.808             0.772
 #> # ℹ 2 more variables: model_specificity <dbl>, target <dbl>
 
 # set total budget for managing sites for conservation
@@ -354,35 +336,30 @@ 
    Examples
    
 
 # print result
 print(opt_survey)
-#>       [,1]  [,2]  [,3]  [,4]  [,5]  [,6]
-#> [1,] FALSE FALSE FALSE  TRUE  TRUE FALSE
-#> [2,] FALSE  TRUE FALSE FALSE FALSE  TRUE
+#>      [,1]  [,2]  [,3]  [,4] [,5]  [,6]
+#> [1,] TRUE FALSE FALSE FALSE TRUE FALSE
 #> attr(,"ev")
-#> [1] 2.998167 2.998167
+#> [1] 1.812399
 # }
    -
    - -
    +
    -
    + - - diff --git a/docs/reference/prior_probability_matrix.html b/docs/reference/prior_probability_matrix.html index b111944..2e392b9 100644 --- a/docs/reference/prior_probability_matrix.html +++ b/docs/reference/prior_probability_matrix.html @@ -1,61 +1,45 @@ -Prior probability matrix — prior_probability_matrix • surveyvoi - - -
    -
    -
    -
    -

    Prior probability matrix

    - Source: R/prior_probability_matrix.R - +
    +
    +
    +
    + +

    Prior probability matrix

    + Source: R/prior_probability_matrix.R +
    prior_probability_matrix.Rd
    -
    +

    Create prior probability matrix for the value of information analysis.

    -
    +
    +

    Usage

    prior_probability_matrix(
   site_data,
   feature_data,
@@ -69,17 +53,19 @@ 
    Prior probability matrix
    
 )
    -
    -

    Arguments

    -
    site_data
    +
    +

    Arguments

    + + +
    site_data

    sf::sf() object with site data.

    -
    feature_data
    +
    feature_data

    base::data.frame() object with feature data.

    -
    site_detection_columns
    +
    site_detection_columns

    character names of numeric columns in the argument to site_data that contain the proportion of surveys conducted within each site that detected each feature. @@ -88,7 +74,7 @@

    Arguments

    not previously been surveyed, a value of zero should be used.

    -
    site_n_surveys_columns
    +
    site_n_surveys_columns

    character names of numeric columns in the argument to site_data that contain the total number of surveys conducted for each each feature within each site. @@ -97,7 +83,7 @@

    Arguments

    not previously been surveyed, a value of zero should be used.

    -
    site_probability_columns
    +
    site_probability_columns

    character names of numeric columns in the argument to site_data that contain modeled probabilities of occupancy for each feature in each site. @@ -106,7 +92,7 @@

    Arguments

    values are permitted in these columns.

    -
    feature_survey_sensitivity_column
    +
    feature_survey_sensitivity_column

    character name of the column in the argument to feature_data that contains probability of future surveys correctly detecting a presence of each @@ -115,7 +101,7 @@

    Arguments

    one. No missing (NA) values are permitted in this column.

    -
    feature_survey_specificity_column
    +
    feature_survey_specificity_column

    character name of the column in the argument to feature_data that contains probability of future surveys correctly detecting an absence of each @@ -124,7 +110,7 @@

    Arguments

    one. No missing (NA) values are permitted in this column.

    -
    feature_model_sensitivity_column
    +
    feature_model_sensitivity_column

    character name of the column in the argument to feature_data that contains probability of the initial models correctly predicting a presence of each @@ -136,7 +122,7 @@

    Arguments

    fit_hglm_occupancy_models().

    -
    feature_model_specificity_column
    +
    feature_model_specificity_column

    character name of the column in the argument to feature_data that contains probability of the initial models correctly predicting an absence of each @@ -148,17 +134,15 @@

    Arguments

    fit_hglm_occupancy_models().

    -
    -

    Value

    - - -

    A matrix object containing the prior probabilities of each +

    +

    Value

    +

    A matrix object containing the prior probabilities of each feature occupying each site. Each row corresponds to a different feature and each column corresponds to a different site.

    -
    -

    Examples

    +
    +

    Examples

    # set seeds for reproducibility
 set.seed(123)
 
@@ -168,17 +152,17 @@ 
    Examples
    
 #> Simple feature collection with 6 features and 13 fields
 #> Geometry type: POINT
 #> Dimension:     XY
-#> Bounding box:  xmin: 0.10513 ymin: 0.04556193 xmax: 0.9764926 ymax: 0.8637977
+#> Bounding box:  xmin: 0.02541313 ymin: 0.07851093 xmax: 0.9888107 ymax: 0.717068
 #> CRS:           NA
 #> # A tibble: 6 × 14
-#>   survey_cost management_cost    f1    f2    f3    n1    n2    n3      e1     e2
-#>         <dbl>           <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>   <dbl>  <dbl>
-#> 1          14             102     1   1       1     3     3     3  1.00   -0.848
-#> 2          25              90     0   0       0     0     0     0 -1.44    1.27 
-#> 3          25             165     1   0.6     0     5     5     5  1.25    0.817
-#> 4          17             104     0   0       0     0     0     0 -0.484  -0.292
-#> 5          18             100     0   0       0     0     0     0  0.0135  0.380
-#> 6          15              94     0   0       0     0     0     0 -0.347  -1.33 
+#>   survey_cost management_cost    f1    f2    f3    n1    n2    n3     e1     e2
+#>         <dbl>           <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>  <dbl>  <dbl>
+#> 1          19              99     0     0  0        0     0     0  1.13   0.535
+#> 2          22              87     0     1  0.25     4     4     4 -1.37  -1.45 
+#> 3          13              94     1     1  0        1     1     1  0.155 -0.867
+#> 4          19              61     0     0  0        0     0     0 -0.792  1.32 
+#> 5           9             105     0     0  0        0     0     0 -0.194  0.238
+#> 6          12             136     0     0  0        0     0     0  1.07   0.220
 #> # ℹ 4 more variables: p1 <dbl>, p2 <dbl>, p3 <dbl>, geometry <POINT>
 
 # load example feature data
@@ -187,9 +171,9 @@ 
    Examples
    
 #> # A tibble: 3 × 7
 #>   name  survey survey_sensitivity survey_specificity model_sensitivity
 #>   <chr> <lgl>               <dbl>              <dbl>             <dbl>
-#> 1 f1    TRUE                0.954              0.886             0.718
-#> 2 f2    TRUE                0.974              0.875             0.705
-#> 3 f3    TRUE                0.956              0.823             0.768
+#> 1 f1    TRUE                0.951              0.854             0.711
+#> 2 f2    TRUE                0.990              0.832             0.722
+#> 3 f3    TRUE                0.986              0.808             0.772
 #> # ℹ 2 more variables: model_specificity <dbl>, target <dbl>
 
 # calculate prior probability matrix
@@ -201,33 +185,29 @@ 
    Examples
    
 
 # preview prior probability matrix
 print(prior_matrix)
-#>         [,1]      [,2]         [,3]      [,4]      [,5]      [,6]
-#> f1 0.9983146 0.2580030 9.999761e-01 0.2580030 0.2580030 0.2580030
-#> f2 0.9978829 0.2556825 2.948501e-01 0.8342984 0.2556825 0.8342984
-#> f3 0.9936754 0.2072052 4.363968e-07 0.8716228 0.2072052 0.8716228
+#>         [,1]         [,2]      [,3]      [,4]      [,5]      [,6]
+#> f1 0.8173204 1.079836e-05 0.8673022 0.2554465 0.2554465 0.8173204
+#> f2 0.7883133 9.991649e-01 0.8546773 0.2567227 0.2567227 0.7883133
+#> f3 0.2077566 2.583338e-05 0.0168493 0.8563573 0.8563573 0.2077566
    -
    - -
    +
    -
    + - - diff --git a/docs/reference/relative_site_richness_scores.html b/docs/reference/relative_site_richness_scores.html index 2e525e9..0f7c26d 100644 --- a/docs/reference/relative_site_richness_scores.html +++ b/docs/reference/relative_site_richness_scores.html @@ -1,77 +1,66 @@ -Relative site richness scores — relative_site_richness_scores • surveyvoiRelative site richness scores — relative_site_richness_scores • surveyvoi - - -
    -
    -
    -
    -

    Relative site richness scores

    - Source: R/relative_site_richness_scores.R - + +
    +
    +
    +
    + +

    Relative site richness scores

    + Source: R/relative_site_richness_scores.R +
    relative_site_richness_scores.Rd
    -
    +

    Calculate relative site richness scores. Sites with greater scores are predicted to be more likely to contain more species. Note that these scores are relative to each other and scores calculated using different matrices cannot be compared to each other.

    -
    +
    +

    Usage

    relative_site_richness_scores(site_data, site_probability_columns)
    -
    -

    Arguments

    -
    site_data
    +
    +

    Arguments

    + + +
    site_data

    sf::sf() object with site data.

    -
    site_probability_columns
    +
    site_probability_columns

    character names of numeric columns in the argument to site_data that contain modeled probabilities of occupancy for each feature in each site. @@ -80,15 +69,13 @@

    Arguments

    values are permitted in these columns.

    -
    -

    Value

    - - -

    A numeric vector of richness scores. Note that +

    +

    Value

    +

    A numeric vector of richness scores. Note that these values are automatically rescaled between 0.01 and 1.

    -
    -

    Details

    +
    +

    Details

    The relative site richness scores are calculated using the following procedure:

    1. Let \(J\) denote the set of sites (indexed by \(j\)), @@ -101,8 +88,8 @@

      Details

      and 1 to produce the scores.

    -
    -

    Examples

    +
    +

    Examples

    # set seed for reproducibility
 set.seed(123)
 
@@ -149,27 +136,23 @@ 
    Examples
    -
    - -
    +
    -
    + - - diff --git a/docs/reference/relative_site_uncertainty_scores.html b/docs/reference/relative_site_uncertainty_scores.html index 6f508b4..34a51e0 100644 --- a/docs/reference/relative_site_uncertainty_scores.html +++ b/docs/reference/relative_site_uncertainty_scores.html @@ -1,61 +1,48 @@ -Relative site uncertainty scores — relative_site_uncertainty_scores • surveyvoiRelative site uncertainty scores — relative_site_uncertainty_scores • surveyvoi - - -
    -
    -
    -
    -

    Relative site uncertainty scores

    - Source: R/relative_site_uncertainty_scores.R - + + + +
    +
    +
    +
    + +

    Relative site uncertainty scores

    + Source: R/relative_site_uncertainty_scores.R +
    relative_site_uncertainty_scores.Rd
    -
    +

    Calculate scores to describe the overall uncertainty of modeled species' occupancy predictions for each site. Sites with greater scores are associated with greater uncertainty. Note that these scores are relative to each other @@ -63,17 +50,20 @@

    Relative site uncertainty scores

    compared to each other.

    -
    +
    +

    Usage

    relative_site_uncertainty_scores(site_data, site_probability_columns)
    -
    -

    Arguments

    -
    site_data
    +
    +

    Arguments

    + + +
    site_data

    sf::sf() object with site data.

    -
    site_probability_columns
    +
    site_probability_columns

    character names of numeric columns in the argument to site_data that contain modeled probabilities of occupancy for each feature in each site. @@ -82,15 +72,13 @@

    Arguments

    values are permitted in these columns.

    -
    -

    Value

    - - -

    A numeric vector of uncertainty scores. Note that +

    +

    Value

    +

    A numeric vector of uncertainty scores. Note that these values are automatically rescaled between 0.01 and 1.

    -
    -

    Details

    +
    +

    Details

    The relative site uncertainty scores are calculated as joint Shannon's entropy statistics. Since we assume that species occur independently of each other, we can calculate these statistics separately for each species in each @@ -106,8 +94,8 @@

    Details

    \(s_{j} = \sum_{i \in I} y_{ij}\)

    -
    -

    Examples

    +
    +

    Examples

    # set seed for reproducibility
 set.seed(123)
 
@@ -155,27 +143,23 @@ 
    Examples
    -
    - -
    +
    -
    + - - diff --git a/docs/reference/sim_data.html b/docs/reference/sim_data.html index d7cb87f..30505ac 100644 --- a/docs/reference/sim_data.html +++ b/docs/reference/sim_data.html @@ -1,69 +1,53 @@ -Simulated datasets — sim_data • surveyvoi - - -
    -
    -
    -
    -

    Simulated datasets

    - Source: R/data.R - + +
    +
    +
    +
    + +

    Simulated datasets

    + Source: R/data.R +
    sim_data.Rd
    -
    +

    Simulated data for prioritizing sites for ecological surveys.

    -
    +
    +

    Usage

    data(sim_features)
 
 data(sim_sites)
    -
    -

    Format

    - +
    +

    Format

    +
    sim_sites

    sf::sf() object.

    @@ -73,8 +57,8 @@

    Format

    .

    -
    -

    Details

    +
    +

    Details

    The simulated datasets provide data for six sites and three features. The sites can potentially acquired for protected area establishment. However, existing information on the spatial distribution of the features is @@ -106,14 +90,14 @@

    Details

    -
    -

    See also

    +
    +

    See also

    These datasets were simulated using simulate_feature_data() and simulate_site_data().

    -
    -

    Examples

    +
    +

    Examples

    # load data
 data(sim_sites, sim_features)
 
@@ -122,62 +106,58 @@ 
    Examples
    
 #> # A tibble: 3 × 7
 #>   name  survey survey_sensitivity survey_specificity model_sensitivity
 #>   <chr> <lgl>               <dbl>              <dbl>             <dbl>
-#> 1 f1    TRUE                0.954              0.886             0.718
-#> 2 f2    TRUE                0.974              0.875             0.705
-#> 3 f3    TRUE                0.956              0.823             0.768
+#> 1 f1    TRUE                0.951              0.854             0.711
+#> 2 f2    TRUE                0.990              0.832             0.722
+#> 3 f3    TRUE                0.986              0.808             0.772
 #>   model_specificity target
 #>               <dbl>  <dbl>
-#> 1             0.811      1
-#> 2             0.860      1
-#> 3             0.887      1
+#> 1             0.841      2
+#> 2             0.806      2
+#> 3             0.871      2
 # print site data
 print(sim_sites, width = Inf)
 #> Simple feature collection with 6 features and 13 fields
 #> Geometry type: POINT
 #> Dimension:     XY
-#> Bounding box:  xmin: 0.10513 ymin: 0.04556193 xmax: 0.9764926 ymax: 0.8637977
+#> Bounding box:  xmin: 0.02541313 ymin: 0.07851093 xmax: 0.9888107 ymax: 0.717068
 #> CRS:           NA
 #> # A tibble: 6 × 14
-#>   survey_cost management_cost    f1    f2    f3    n1    n2    n3      e1     e2
-#>         <dbl>           <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>   <dbl>  <dbl>
-#> 1          14             102     1   1       1     3     3     3  1.00   -0.848
-#> 2          25              90     0   0       0     0     0     0 -1.44    1.27 
-#> 3          25             165     1   0.6     0     5     5     5  1.25    0.817
-#> 4          17             104     0   0       0     0     0     0 -0.484  -0.292
-#> 5          18             100     0   0       0     0     0     0  0.0135  0.380
-#> 6          15              94     0   0       0     0     0     0 -0.347  -1.33 
+#>   survey_cost management_cost    f1    f2    f3    n1    n2    n3     e1     e2
+#>         <dbl>           <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>  <dbl>  <dbl>
+#> 1          19              99     0     0  0        0     0     0  1.13   0.535
+#> 2          22              87     0     1  0.25     4     4     4 -1.37  -1.45 
+#> 3          13              94     1     1  0        1     1     1  0.155 -0.867
+#> 4          19              61     0     0  0        0     0     0 -0.792  1.32 
+#> 5           9             105     0     0  0        0     0     0 -0.194  0.238
+#> 6          12             136     0     0  0        0     0     0  1.07   0.220
 #>      p1    p2    p3               geometry
 #>   <dbl> <dbl> <dbl>                <POINT>
-#> 1 1     0.999 0.789  (0.1589075 0.8637977)
-#> 2 0     0     0.112  (0.9764926 0.7485368)
-#> 3 1     0.419 0.012  (0.8362375 0.2282762)
-#> 4 0.022 0.502 0.834     (0.10513 0.179855)
-#> 5 0.318 0.13  0.225 (0.5985786 0.04556193)
-#> 6 0.474 0.997 0.991  (0.1504241 0.6821156)
+#> 1 0.999 0.988 0.21   (0.03529733 0.544939)
+#> 2 0.001 0.995 0.152    (0.33276 0.3174416)
+#> 3 0.966 1     0.017 (0.6141922 0.07851093)
+#> 4 0     0     1     (0.02541313 0.1147132)
+#> 5 0.11  0.006 0.831  (0.9888107 0.2152785)
+#> 6 1     1     0.082   (0.9038749 0.717068)
    -
    - -
    +
    -
    + - - diff --git a/docs/reference/sim_features.html b/docs/reference/sim_features.html new file mode 100644 index 0000000..69cfa0e --- /dev/null +++ b/docs/reference/sim_features.html @@ -0,0 +1,8 @@ + + + + + + + + diff --git a/docs/reference/sim_sites.html b/docs/reference/sim_sites.html new file mode 100644 index 0000000..69cfa0e --- /dev/null +++ b/docs/reference/sim_sites.html @@ -0,0 +1,8 @@ + + + + + + + + diff --git a/docs/reference/simulate_feature_data.html b/docs/reference/simulate_feature_data.html index e958fae..8bd7e18 100644 --- a/docs/reference/simulate_feature_data.html +++ b/docs/reference/simulate_feature_data.html @@ -1,81 +1,65 @@ -Simulate feature data — simulate_feature_data • surveyvoi - - -
    -
    -
    -
    -

    Simulate feature data

    - Source: R/simulate_feature_data.R - +
    +
    +
    +
    + +

    Simulate feature data

    + Source: R/simulate_feature_data.R +
    simulate_feature_data.Rd
    -
    +

    Simulate feature data for developing simulated survey schemes.

    -
    +
    +

    Usage

    simulate_feature_data(n_features, proportion_of_survey_features = 1)
    -
    -

    Arguments

    -
    n_features
    +
    +

    Arguments

    + + +
    n_features

    integer number of features.

    -
    proportion_of_survey_features
    +
    proportion_of_survey_features

    numeric proportion of features that will be examined in the new surveys. Values must be between zero and one. Defaults to 1 such that all features should be surveyed.

    -
    -

    Value

    - - -

    A tibble::tibble() object. It contains the following +

    +

    Value

    +

    A tibble::tibble() object. It contains the following data:

    name

    character name of each feature.

    @@ -112,13 +96,13 @@

    Value

    -
    -

    See also

    +
    +

    See also

    simulate_site_data()

    -
    -

    Examples

    +
    +

    Examples

    # set seed for reproducibility
 set.seed(123)
 
@@ -145,27 +129,23 @@ 
    Examples
    -
    - -
    +
    -
    + - - diff --git a/docs/reference/simulate_site_data.html b/docs/reference/simulate_site_data.html index 953e15b..9e77444 100644 --- a/docs/reference/simulate_site_data.html +++ b/docs/reference/simulate_site_data.html @@ -1,61 +1,45 @@ -Simulate site data — simulate_site_data • surveyvoi - - -
    -
    -
    -
    -

    Simulate site data

    - Source: R/simulate_site_data.R - +
    +
    +
    +
    + +

    Simulate site data

    + Source: R/simulate_site_data.R +
    simulate_site_data.Rd
    -
    +

    Simulate site data for developing simulated survey schemes.

    -
    +
    +

    Usage

    simulate_site_data(
   n_sites,
   n_features,
@@ -70,64 +54,64 @@ 
    Simulate site data
    
 )
    -
    -

    Arguments

    -
    n_sites
    +
    +

    Arguments

    + + +
    n_sites

    integer number of sites.

    -
    n_features
    +
    n_features

    integer number of features.

    -
    proportion_of_sites_missing_data
    +
    proportion_of_sites_missing_data

    numeric proportion of sites that do not have existing presence/absence data. Values must be between zero and one.

    -
    n_env_vars
    +
    n_env_vars

    integer number of environmental variables for simulating feature distributions. Defaults to 3.

    -
    survey_cost_intensity
    +
    survey_cost_intensity

    numeric intensity of the costs of surveying sites. Larger values correspond to larger costs on average. Defaults to 20.

    -
    survey_cost_scale
    +
    survey_cost_scale

    numeric value corresponding to the spatial homogeneity of the survey costs. Defaults to 5.

    -
    management_cost_intensity
    +
    management_cost_intensity

    numeric intensity of the costs of average cost of managing sites for conservation. Defaults to 100.

    -
    management_cost_scale
    +
    management_cost_scale

    numeric value corresponding to the spatial homogeneity of the survey costs. Defaults to 30.

    -
    max_number_surveys_per_site
    +
    max_number_surveys_per_site

    integer maximum number of surveys per site in the simulated data. Defaults to 5.

    -
    output_probabilities
    +
    output_probabilities

    logical value indicating if probability values of occupancy should be output or not. Defaults to TRUE.

    -
    -

    Value

    - - -

    A sf::sf() object with site data. +

    +

    Value

    +

    A sf::sf() object with site data. The "management_cost" column contains the site protection costs, and the "survey_cost" column contains the costs for surveying each site. @@ -144,13 +128,13 @@

    Value

    (e.g. "d1", "n1", "p1" contain data that correspond to the same feature).

    -
    -

    See also

    +
    +

    See also

    simulate_feature_data()

    -
    -

    Examples

    +
    +

    Examples

    # set seed for reproducibility
 set.seed(123)
 
@@ -213,27 +197,23 @@ 
    Examples
    -
    - -
    +
    -
    + - - diff --git a/docs/reference/surveyvoi-package.html b/docs/reference/surveyvoi-package.html new file mode 100644 index 0000000..5d6b6c1 --- /dev/null +++ b/docs/reference/surveyvoi-package.html @@ -0,0 +1,8 @@ + + + + + + + + diff --git a/docs/reference/surveyvoi.html b/docs/reference/surveyvoi.html index d9fb00b..3bb429e 100644 --- a/docs/reference/surveyvoi.html +++ b/docs/reference/surveyvoi.html @@ -1,74 +1,68 @@ -surveyvoi: Survey Value of Information — surveyvoi • surveyvoisurveyvoi: Survey Value of Information — surveyvoi • surveyvoi - - -
    -
    -
    -
    -

    surveyvoi: Survey Value of Information

    - Source: R/package.R - + surveyvoi + + 1.1.0.2 + + + + + + + +
    +
    +
    +
    + +

    surveyvoi: Survey Value of Information

    + Source: R/package.R +
    surveyvoi.Rd
    -
    +

    Decision support tool for prioritizing sites for ecological surveys based on their potential to improve plans for conserving biodiversity (e.g. plans for establishing protected areas). Given a set of -sites that could potentially be acquired for conservation management -- +sites that could potentially be acquired for conservation management – wherein some sites have previously been surveyed and other sites have not --- it can be used to generate and evaluate plans for +– it can be used to generate and evaluate plans for additional surveys. Specifically, plans for ecological surveys can be generated using various conventional approaches (e.g. maximizing expected species richness, geographic coverage, diversity of sampled environmental @@ -78,8 +72,8 @@

    surveyvoi: Survey Value of Information

    -
    -

    Details

    +
    +

    Details

    Please note that several functions depend on the 'Gurobi' optimization software (available from https://www.gurobi.com) and the gurobi R package (installation instructions @@ -88,40 +82,36 @@

    Details

    (available from https://mcmc-jags.sourceforge.io/) is required to fit hierarchical generalized linear models.

    -
    -

    See also

    +
    +

    See also

    The package vignette provides a tutorial (accessible using the code vignettes("surveyvoi")).

    -
    -

    Author

    +
    +

    Author

    Package authors:

    -
    - -
    +
    -
    + - - diff --git a/docs/reference/weighted_survey_scheme.html b/docs/reference/weighted_survey_scheme.html index 57a54a7..212f19b 100644 --- a/docs/reference/weighted_survey_scheme.html +++ b/docs/reference/weighted_survey_scheme.html @@ -1,63 +1,48 @@ -Weighted survey scheme — weighted_survey_scheme • surveyvoi - - -
    -
    -
    -
    -

    Weighted survey scheme

    - Source: R/weighted_survey_scheme.R - +
    +
    +
    +
    + +

    Weighted survey scheme

    + Source: R/weighted_survey_scheme.R +
    weighted_survey_scheme.Rd
    -
    +

    Generate a survey scheme by selecting the set of sites with the greatest overall weight value, a maximum budget for the survey scheme.

    -
    +
    +

    Usage

    weighted_survey_scheme(
   site_data,
   cost_column,
@@ -70,30 +55,32 @@ 
    Weighted survey scheme
    
 )
    -
    -

    Arguments

    -
    site_data
    +
    +

    Arguments

    + + +
    site_data

    sf::sf() object containing the candidate survey sites.

    -
    cost_column
    +
    cost_column

    character name of the column in the argument to the argument to site_data that contains the cost for surveying each site. No missing (NA) values are permitted.

    -
    survey_budget
    +
    survey_budget

    numeric vector of maximum budgets for the survey schemes. No missing (NA) values are permitted.

    -
    weight_column
    +
    weight_column

    character name of the column in the argument to site_data with the weights for each site.

    -
    locked_in_column
    +
    locked_in_column

    character (optional) name of the column in the argument to site_data that contains logical (TRUE/ FALSE) values indicating if certain sites should be @@ -102,7 +89,7 @@

    Arguments

    Defaults to NULL such that no sites are locked in.

    -
    locked_out_column
    +
    locked_out_column

    character (optional) name of the column in the argument to site_data that contains logical (TRUE/ FALSE) values indicating if certain sites should be @@ -111,7 +98,7 @@

    Arguments

    Defaults to NULL such that no sites are locked out.

    -
    solver
    +
    solver

    character name of the optimization solver to use for generating survey schemes. Available options include: "Rsymphony", "gurobi" and "auto". @@ -121,21 +108,19 @@

    Arguments

    Defaults to "auto".

    -
    verbose
    +
    verbose

    logical indicating if information should be printed while generating survey scheme(s). Defaults to FALSE.

    -
    -

    Value

    - - -

    A matrix of logical (TRUE/ FALSE) +

    +

    Value

    +

    A matrix of logical (TRUE/ FALSE) values indicating if a site is selected in a scheme or not. Columns correspond to sites, and rows correspond to different schemes.

    -
    -

    Details

    +
    +

    Details

    Let \(J\) denote the set of sites (indexed by \(j\)), and let \(b\) denote the maximum budget available for surveying the sites. Next, let \(c_j\) represent the cost of surveying each site @@ -149,9 +134,9 @@

    Details

    \mathit{subject \space to} \\ \sum_{j \in J} x_j c_j \leq b$$

    -
    -

    Solver

    - +
    +

    Solver

    +

    This function can use the Rsymphony package and the Gurobi optimization software to generate @@ -164,8 +149,8 @@

    Solver

    Installation instructions are available online for Linux, Windows, and Mac OS operating systems.

    -
    -

    Examples

    +
    +

    Examples

    # set seed for reproducibility
 set.seed(123)
 
@@ -195,27 +180,23 @@ 
    Examples
    -
    - -
    +
    -
    + - - diff --git a/docs/search.json b/docs/search.json new file mode 100644 index 0000000..1b1aea2 --- /dev/null +++ b/docs/search.json @@ -0,0 +1 @@ +[{"path":"https://github.com/prioritizr/surveyvoi/articles/surveyvoi.html","id":"introduction","dir":"Articles","previous_headings":"","what":"Introduction","title":"surveyvoi: Survey Value of Information","text":"funding available conservation limited. ensure conservation funds allocated cost-effectively, conservation plans (termed prioritizations) can developed – using combination economic, biodiversity, land-use data – prioritize set sites conservation management (e.g. protected area establishment). However, existing data biodiversity patterns incomplete. consequence, prioritizations can potentially improved collecting additional data. Specifically, ecological surveys can conducted sites learn species present within . However, conducting ecological surveys reduces funds available conservation management. Thus, decision makers need strategically allocate funding surveying sites managing conservation—trivial task. surveyvoi R package decision support tool prioritizing sites ecological surveys based potential improve plans conserving biodiversity (e.g. plans establishing protected areas). Given set sites potentially acquired conservation management – wherein sites previously surveyed sites – can used generate evaluate plans additional surveys. Specifically, plans ecological surveys can generated using various conventional approaches (e.g. maximizing expected species richness, geographic coverage, diversity sampled environmental conditions) directly maximizing value information using optimization algorithms. generating plans surveys, can also evaluated using value information analysis. Please note several functions depend ‘Gurobi’ optimization software (available https://www.gurobi.com) gurobi R package (installation instructions available online Linux, Windows, Mac OS). tutorial provides brief overview surveyvoi R package. , simulate survey data, fit statistical models characterize spatial distribution simulated species, generate evaluate survey schemes based different approaches. Although tutorial deals single simulated species – keep tutorial simple reduce computational burden – functions used tutorial designed work multiple species. want learn specific function, please consult documentation written specifically function (accessible using R code ?function, function name desired function).","code":""},{"path":"https://github.com/prioritizr/surveyvoi/articles/surveyvoi.html","id":"setup","dir":"Articles","previous_headings":"","what":"Setup","title":"surveyvoi: Survey Value of Information","text":"Let’s start setting R session. load R packages pre-set random number generators reproducibility.","code":"# load packages library(tidyr) library(dplyr) library(surveyvoi) library(ggplot2) library(gridExtra) library(viridis) library(tibble) # set RNG seed for reproducibility set.seed(40) # set default table printing options options(pillar.sigfig = 6, tibble.width = Inf)"},{"path":"https://github.com/prioritizr/surveyvoi/articles/surveyvoi.html","id":"simulate-data","dir":"Articles","previous_headings":"","what":"Simulate data","title":"surveyvoi: Survey Value of Information","text":"Let’s simulate data. keep things simple, simulate data 30 sites one conservation feature (e.g. species). 30 sites total, simulate survey data 15 sites—meaning 15 sites survey data. also simulate three spatially auto-correlated variables characterize environmental conditions within sites. Although simulation code (.e. simulate_site_data) can output probability features expected inhabit sites, disable option make simulation study realistic instead predict probabilities using statistical models. site_data object spatially explicit dataset (.e. sf object) contains information site locations additional site attributes. , row corresponds different site, column contains different site attribute. f1 column contains results previous surveys, values describe proportion previous surveys species previously detected site. Since site single previous survey, data contain zeros (indicating species detected) ones (indicating species detected). n1 column contains number previous surveys conducted within site. Thus, sites zeros column previously surveyed. e1, e2, e3 columns contain environmental information site (e.g. normalized temperature rainfall data). survey_cost column contains cost surveying site, management_cost column contains cost managing site conservation. help understand simulated data, let’s create visualizations. simulating data sites, simulate data conservation feature. set proportion_of_survey_features = 1 indicate feature examined future surveys. feature_data object table (.e. tibble object) contains information conservation feature. , row corresponds different feature – one row one feature – column contains different information feature(s). name column contains name feature. survey column indicates feature examined future surveys. survey_sensitivity survey_specificity columns denote sensitivity (probability correctly recording presence) specificity (probability correctly recording absence) survey methodology. Finally, target column specifies number occupied sites species ideally represented prioritization.","code":"# simulate site data site_data <- simulate_site_data( n_sites = 30, n_features = 1, proportion_of_sites_missing_data = 15 / 30, n_env_vars = 3, survey_cost_intensity = 5, management_cost_intensity = 2500, max_number_surveys_per_site = 1, output_probabilities = FALSE) # print site data print(site_data) ## Simple feature collection with 30 features and 7 fields ## Geometry type: POINT ## Dimension: XY ## Bounding box: xmin: 0.07758767 ymin: 0.03189323 xmax: 0.9762666 ymax: 0.9557619 ## CRS: NA ## # A tibble: 30 × 8 ## survey_cost management_cost f1 n1 e1 e2 e3 ## ## 1 9 2458 0 0 0.334113 0.502778 -1.00012 ## 2 1 2524 0 1 -1.32716 -1.19893 1.06494 ## 3 3 2483 0 0 -1.18385 0.676827 0.387451 ## 4 12 2513 0 0 0.691077 -0.926471 -0.244236 ## 5 4 2477 0 0 0.832864 2.70543 -0.351963 ## 6 8 2481 0 1 -0.870905 -0.635214 -0.779346 ## 7 1 2499 1 1 0.774926 1.31091 -0.0104341 ## 8 6 2479 0 0 1.34695 0.220259 0.824172 ## 9 7 2484 0 1 -0.670210 -0.729128 -0.912692 ## 10 11 2519 0 0 0.125632 0.313454 -1.37448 ## geometry ## ## 1 (0.683582 0.841256) ## 2 (0.872904 0.240454) ## 3 (0.690117 0.679761) ## 4 (0.115936 0.0704436) ## 5 (0.195009 0.646561) ## 6 (0.461201 0.102122) ## 7 (0.203535 0.955762) ## 8 (0.590849 0.748232) ## 9 (0.373888 0.150227) ## 10 (0.141298 0.307626) ## # ℹ 20 more rows # plot the spatial location of the sites ggplot(site_data) + geom_sf() + ggtitle(\"Sites\") + labs(x = \"X coordinate\", y = \"Y coordinate\") # plot site occupancy data from previous surveys # 1 = species was detected in 100% of the previous surveys # 0 = species was detected in 0% of the previous surveys site_data %>% select(starts_with(\"f\")) %>% gather(name, value, -geometry) %>% mutate(value = as.character(value)) %>% ggplot() + geom_sf(aes(color = value)) + scale_color_manual(values = c(\"1\" = \"red\", \"0\" = \"black\")) + facet_wrap(~ name) + labs(title = \"Detection/non-detection data\", x = \"X coordinate\", y = \"Y coordinate\") # plot number of previous surveys within each site site_data %>% select(starts_with(\"n\")) %>% gather(name, value, -geometry) %>% mutate(value = as.character(value)) %>% ggplot() + geom_sf(aes(color = value)) + scale_color_manual(values = c(\"1\" = \"blue\", \"0\" = \"black\")) + facet_wrap(~ name) + labs(title = \"Number of previous surveys\", x = \"X coordinate\", y = \"Y coordinate\") # plot site cost data # note that survey and management costs are on different scales p1 <- ggplot(site_data) + geom_sf(aes(color = survey_cost)) + scale_color_viridis() + labs(title = \"Survey cost\", x = \"X coordinate\", y = \"Y coordinate\") + theme(legend.title = element_blank()) p2 <- ggplot(site_data) + geom_sf(aes(color = management_cost)) + scale_color_viridis() + labs(title = \"Management cost\", x = \"X coordinate\", y = \"Y coordinate\") + theme(legend.title = element_blank()) grid.arrange(p1, p2, nrow = 1) # plot site environmental data site_data %>% select(starts_with(\"e\")) %>% gather(var, value, -geometry) %>% ggplot() + geom_sf(aes(color = value)) + facet_wrap(~ var) + scale_color_viridis() + labs(title = \"Environmental conditions\", x = \"X coordinate\", y = \"Y coordinate\") # simulate feature data feature_data <- simulate_feature_data( n_features = 1, proportion_of_survey_features = 1) # remove simulated model performance statistics since we will fit models below feature_data$model_sensitivity <- NULL feature_data$model_specificity <- NULL # manually set target feature_data$target <- 2 # print feature data print(feature_data) ## # A tibble: 1 × 5 ## name survey survey_sensitivity survey_specificity target ## ## 1 f1 TRUE 0.989102 0.834741 2"},{"path":"https://github.com/prioritizr/surveyvoi/articles/surveyvoi.html","id":"modeling-probability-of-occupancy","dir":"Articles","previous_headings":"","what":"Modeling probability of occupancy","title":"surveyvoi: Survey Value of Information","text":"simulating data, need estimate probability feature occurring unsurveyed sites. important calculating potential benefits surveying sites, can reliably predict probability feature(s) occurring unsurveyed sites using models, may need conduct additional surveys. Specifically, fit gradient boosted regression trees – via xgboost R package. models well-suited modeling species distributions can accommodate high order interactions among different predictor variables needed effectively model species’ environmental niches, even case limited data. Furthermore, can incorporate knowledge sensitivity specificity previous surveys model fitting (using weights). fitting models, can examine tuning parameters used fit models, extract modeled probability occupancy, evaluate performance models.","code":"# create list of candidate parameter values for calibration procedure xgb_parameters <- list(eta = 0.1, lambda = 0.1, objective = \"binary:logistic\") # identify suitable parameters for model fitting # ideally we would try a larger range of values (i.e. not just a single value of 0.1), # but we will keep it low to reduce processing time for this example xgb_results <- fit_xgb_occupancy_models( site_data, feature_data, c(\"f1\"), c(\"n1\"), c(\"e1\", \"e2\", \"e3\"), \"survey_sensitivity\", \"survey_specificity\", n_folds = c(2), xgb_tuning_parameters = xgb_parameters) # print best parameters print(xgb_results$parameters) ## [[1]] ## [[1]]$eta ## [1] 0.1 ## ## [[1]]$lambda ## [1] 0.1 ## ## [[1]]$objective ## [1] \"binary:logistic\" ## ## [[1]]$scale_pos_weight ## [[1]]$scale_pos_weight[[1]] ## [1] 1 1 # print model performance (TSS value) xgb_performance <- xgb_results$performance print(data.frame(xgb_performance)) ## feature train_tss_mean train_tss_std train_sensitivity_mean ## 1 f1 1 0 1 ## train_sensitivity_std train_specificity_mean train_specificity_std ## 1 0 1 0 ## test_tss_mean test_tss_std test_sensitivity_mean test_sensitivity_std ## 1 0.7194687 0.2261671 0.9396965 0.08528208 ## test_specificity_mean test_specificity_std ## 1 0.7797722 0.3114492 # store the model sensitivities and specificities in the feature_data object feature_data$model_sensitivity <- xgb_performance$test_sensitivity_mean feature_data$model_specificity <- xgb_performance$test_specificity_mean # store predicted probabilities in the site_data object xgb_predictions <- xgb_results$predictions print(xgb_predictions) ## # A tibble: 30 × 1 ## f1 ## ## 1 0.565847 ## 2 0.410422 ## 3 0.410541 ## 4 0.452530 ## 5 0.565847 ## 6 0.410422 ## 7 0.565847 ## 8 0.565847 ## 9 0.452463 ## 10 0.565847 ## # ℹ 20 more rows site_data$p1 <- xgb_predictions$f1 # plot site-level estimated occupancy probabilities site_data %>% select(starts_with(\"p\")) %>% gather(name, value, -geometry) %>% ggplot() + geom_sf(aes(color = value)) + facet_wrap(~name) + scale_color_viridis() + labs(title = \"Modeled probabilities\", x = \"X coordinate\", y = \"Y coordinate\")"},{"path":"https://github.com/prioritizr/surveyvoi/articles/surveyvoi.html","id":"expected-value-given-current-information","dir":"Articles","previous_headings":"","what":"Expected value given current information","title":"surveyvoi: Survey Value of Information","text":"simulating modeling data, now examine expected value decision given current information. value represents conservation value near-optimal prioritization given current information, whilst accounting uncertainty presence (absence) conservation feature site. Specifically, “current information” refers existing survey data occupancy models. Next, set total budget (.e. total_budget). total budget represents total amount resources available surveying sites managing conservation. set 10% total site management costs. Given total budget, can now calculate expected value decision given current information. can potentially improve expected value decision given current information learning sites likely (less likely) contain conservation feature.","code":"# calculate total budget for surveying and managing sites total_budget <- sum(site_data$management_cost) * 0.1 # print total budget print(total_budget) ## [1] 7498.9 # expected value of the decision given current information evd_current <- evdci( site_data = site_data, feature_data = feature_data, site_detection_columns = c(\"f1\"), site_n_surveys_columns = c(\"n1\"), site_probability_columns = c(\"p1\"), site_management_cost_column = \"management_cost\", feature_survey_sensitivity_column = \"survey_sensitivity\", feature_survey_specificity_column = \"survey_specificity\", feature_model_sensitivity_column = \"model_sensitivity\", feature_model_specificity_column = \"model_specificity\", feature_target_column = \"target\", total_budget = total_budget) # print value print(evd_current) ## [1] 0.9443835"},{"path":"https://github.com/prioritizr/surveyvoi/articles/surveyvoi.html","id":"survey-schemes","dir":"Articles","previous_headings":"","what":"Survey schemes","title":"surveyvoi: Survey Value of Information","text":"Now generate candidate survey schemes see can improve management decision. achieve , set budget surveying additional sites. Specifically, survey budget (.e. survey_budget) set 25% survey costs unsurveyed sites. Note total budget must always greater equal survey budget. generate survey schemes selecting unsurveyed sites () increase geographic coverage among surveyed sites (Yates 1948), (ii) increase coverage environmental conditions among surveyed sites [.e. environmental diversity; Faith & Walker (1996)], (iii) increase coverage sites highly uncertain information (Guisan et al. 2006), (iv) increase coverage sites species predicted occur (Le Lay et al. 2010), (v) increase coverage sites low management costs. Let’s visualize different survey schemes. can see different approaches yield different survey schemes – well perform?","code":"# calculate budget for surveying sites # add column to site_data indicating if the sites already have data or not site_data$surveyed <- site_data$n1 > 0.5 # add column to site_data containing the additional survey costs, # i.e. sites that already have data have zero cost, and # sites that are missing data retain their cost values site_data <- site_data %>% mutate(new_survey_cost = if_else(surveyed, 0, survey_cost)) # calculate total cost of surveying remaining unsurveyed sites total_cost_of_surveying_remaining_sites <- sum(site_data$new_survey_cost) # calculate budget for surveying sites survey_budget <- total_cost_of_surveying_remaining_sites * 0.25 # print budgets print(survey_budget) ## [1] 30.75 print(total_budget) ## [1] 7498.9 # (i) generate survey scheme to increase geographic coverage geo_scheme <- geo_cov_survey_scheme( site_data, \"new_survey_cost\", survey_budget, locked_out = \"surveyed\") # (ii) generate survey scheme to increase environmental diversity, # environmental distances are calculated using Euclidean distances here, # though we might consider something like Mahalanobis distances for a # real dataset to account for correlations among environmental variables) env_scheme <- env_div_survey_scheme( site_data, \"new_survey_cost\", survey_budget, c(\"e1\", \"e2\", \"e3\"), locked_out = \"surveyed\", method = \"euclidean\") # (iii) generate survey scheme using site uncertainty scores # calculate site uncertainty scores site_data$uncertainty_score <- relative_site_uncertainty_scores(site_data, \"p1\") # generate survey scheme unc_scheme <- weighted_survey_scheme( site_data, \"new_survey_cost\", survey_budget, \"uncertainty_score\", locked_out = \"surveyed\") # (iv) generate survey scheme using lowest cost of site management # (i.e. inverse management cost) site_data$inv_management_cost <- 1 / site_data$management_cost cheap_scheme <- weighted_survey_scheme( site_data, \"new_survey_cost\", survey_budget, \"inv_management_cost\", locked_out = \"surveyed\") # (v) generate survey scheme using site species richness scores # calculate site species richness scores site_data$richness_score <- relative_site_richness_scores(site_data, \"p1\") # generate survey scheme rich_scheme <- weighted_survey_scheme( site_data, \"new_survey_cost\", survey_budget, \"richness_score\", locked_out = \"surveyed\") # add schemes to site_data site_data$geo_scheme <- c(geo_scheme) site_data$env_scheme <- c(env_scheme) site_data$unc_scheme <- c(unc_scheme) site_data$cheap_scheme <- c(cheap_scheme) site_data$rich_scheme <- c(rich_scheme) # plot the schemes site_data %>% select(contains(\"scheme\")) %>% gather(name, value, -geometry) %>% mutate_if(is.logical, as.character) %>% mutate(name = factor(name, levels = unique(name))) %>% ggplot() + geom_sf(aes(color = value)) + facet_wrap(~ name, nrow = 2) + scale_color_manual(values = c(\"TRUE\" = \"red\", \"FALSE\" = \"black\")) + labs(x = \"X coordinate\", y = \"Y coordinate\")"},{"path":"https://github.com/prioritizr/surveyvoi/articles/surveyvoi.html","id":"expected-value-of-the-decision-given-sample-information","dir":"Articles","previous_headings":"","what":"Expected value of the decision given sample information","title":"surveyvoi: Survey Value of Information","text":"Now ’ve generated survey schemes, let’s calculate expected value decision given sample information survey scheme. can also calculate much information gained survey schemes expected improve management decision. quantity called expected value sample information (EVSI) survey scheme. particular simulation, can see survey schemes low expected value sample information (.e. values close zero). means none survey schemes likely lead substantially better conservation outcome considering funds spent conducting . survey schemes negative values, means expected poorer conservation outcomes simply using existing information. can see surveying sites cheapest management costs best strategy – particular situation – highest expected value sample information, can even better different scheme?","code":"# create table to store results evd_survey_schemes <- tibble(name = c(\"geo_scheme\", \"env_scheme\", \"unc_scheme\", \"cheap_scheme\", \"rich_scheme\")) # expected value of the decision given each survey scheme evd_survey_schemes$value <- sapply( evd_survey_schemes$name, function(x) { evdsi( site_data = site_data, feature_data = feature_data, site_detection_columns = c(\"f1\"), site_n_surveys_columns = c(\"n1\"), site_probability_columns = c(\"p1\"), site_survey_scheme_column = as.character(x), site_management_cost_column = \"management_cost\", site_survey_cost_column = \"survey_cost\", feature_survey_column = \"survey\", feature_survey_sensitivity_column = \"survey_sensitivity\", feature_survey_specificity_column = \"survey_specificity\", feature_model_sensitivity_column = \"model_sensitivity\", feature_model_specificity_column = \"model_specificity\", feature_target_column = \"target\", total_budget = total_budget) }) # print values print(evd_survey_schemes) ## # A tibble: 5 × 2 ## name value ## ## 1 geo_scheme 0.981973 ## 2 env_scheme 0.986738 ## 3 unc_scheme 0.986738 ## 4 cheap_scheme 0.993256 ## 5 rich_scheme 0.988133 # estimate expected value of sample information for each survey scheme evd_survey_schemes$evsi <- evd_survey_schemes$value - evd_current # print values print(evd_survey_schemes) ## # A tibble: 5 × 3 ## name value evsi ## ## 1 geo_scheme 0.981973 0.0375896 ## 2 env_scheme 0.986738 0.0423546 ## 3 unc_scheme 0.986738 0.0423546 ## 4 cheap_scheme 0.993256 0.0488727 ## 5 rich_scheme 0.988133 0.0437499 # visualize the expected value of sample information for each survey scheme # color the best survey scheme in blue evd_survey_schemes %>% mutate(name = factor(name, levels = name), is_best = evsi == max(evsi)) %>% ggplot(aes(x = name, y = evsi)) + geom_col(aes(fill = is_best, color = is_best)) + xlab(\"Survey scheme\") + ylab(\"Expected value of sample information\") + scale_color_manual(values = c(\"TRUE\" = \"#3366FF\", \"FALSE\" = \"black\")) + scale_fill_manual(values = c(\"TRUE\" = \"#3366FF\", \"FALSE\" = \"black\")) + theme(axis.text.x = element_text(angle = 30, vjust = 0.65), legend.position = \"none\")"},{"path":"https://github.com/prioritizr/surveyvoi/articles/surveyvoi.html","id":"optimized-survey-scheme","dir":"Articles","previous_headings":"","what":"Optimized survey scheme","title":"surveyvoi: Survey Value of Information","text":"Now let’s generate optimized survey scheme directly maximizing expected value decision given survey scheme. can see optimized survey scheme (opt_scheme) different previous survey schemes. can see optimized survey scheme highest expected value sample information candidate survey schemes. better understand sub-optimal candidate survey schemes , let’s compute relative performance visualize . can see optimized survey scheme performs better survey schemes. Although optimized survey scheme doesn’t provide substantial improvement particular situation, can see value information analysis can potentially improve management decisions strategically allocating funds surveys conservation management. Indeed, since considered single species handful sites – keep tutorial simple reduce computational burden – unlikely optimized survey scheme perform substantially better simply using current information. want try something complex, try adapting code tutorial simulate larger number sites multiple species?","code":"# generate optimized survey scheme(s) opt_scheme <- approx_near_optimal_survey_scheme( site_data = site_data, feature_data = feature_data, site_detection_columns = c(\"f1\"), site_n_surveys_columns = c(\"n1\"), site_probability_columns = c(\"p1\"), site_management_cost_column = \"management_cost\", site_survey_cost_column = \"survey_cost\", feature_survey_column = \"survey\", feature_survey_sensitivity_column = \"survey_sensitivity\", feature_survey_specificity_column = \"survey_specificity\", feature_model_sensitivity_column = \"model_sensitivity\", feature_model_specificity_column = \"model_specificity\", feature_target_column = \"target\", total_budget = total_budget, survey_budget = total_budget, n_approx_replicates = 5, n_approx_outcomes_per_replicate = 10000, verbose = TRUE) # print number of optimized survey schemes # if there are multiple optimized survey schemes, # this means that multiple different survey schemes are likely to deliver # similar results (even if they select different sites for surveys) print(nrow(opt_scheme)) ## [1] 1 # add first optimized scheme to site data site_data$opt_scheme <- c(opt_scheme[1, ]) # plot optimized scheme site_data %>% mutate(name = \"opt_scheme\") %>% ggplot() + geom_sf(aes(color = opt_scheme)) + facet_wrap(~ name, nrow = 1) + scale_color_manual(values = c(\"TRUE\" = \"red\", \"FALSE\" = \"black\")) + labs(x = \"X coordinate\", y = \"Y coordinate\") # calculate expected value of sample information for the optimized scheme evd_opt <- evdsi( site_data = site_data, feature_data = feature_data, site_detection_columns = c(\"f1\"), site_n_surveys_columns = c(\"n1\"), site_probability_columns = c(\"p1\"), site_survey_scheme_column = \"opt_scheme\", site_management_cost_column = \"management_cost\", site_survey_cost_column = \"survey_cost\", feature_survey_column = \"survey\", feature_survey_sensitivity_column = \"survey_sensitivity\", feature_survey_specificity_column = \"survey_specificity\", feature_model_sensitivity_column = \"model_sensitivity\", feature_model_specificity_column = \"model_specificity\", feature_target_column = \"target\", total_budget = total_budget) # calculate value print(evd_opt) ## [1] 0.9934998 # append optimized results to results table evd_survey_schemes <- rbind( evd_survey_schemes, tibble(name = \"opt_scheme\", value = evd_opt, evsi = evd_opt - evd_current)) # print updated results table print(evd_survey_schemes) ## # A tibble: 6 × 3 ## name value evsi ## ## 1 geo_scheme 0.981973 0.0375896 ## 2 env_scheme 0.986738 0.0423546 ## 3 unc_scheme 0.986738 0.0423546 ## 4 cheap_scheme 0.993256 0.0488727 ## 5 rich_scheme 0.988133 0.0437499 ## 6 opt_scheme 0.993500 0.0491163 # visualize expected value of sample information # color the best survey scheme in blue evd_survey_schemes %>% mutate(name = factor(name, levels = name), is_best = evsi == max(evsi)) %>% ggplot(aes(x = name, y = evsi)) + geom_col(aes(fill = is_best, color = is_best)) + xlab(\"Survey scheme\") + ylab(\"Expected value of sample information\") + scale_color_manual(values = c(\"TRUE\" = \"#3366FF\", \"FALSE\" = \"black\")) + scale_fill_manual(values = c(\"TRUE\" = \"#3366FF\", \"FALSE\" = \"black\")) + theme(axis.text.x = element_text(angle = 30, vjust = 0.65), legend.position = \"none\") # express values in terms of relative performance evd_survey_schemes$relative_performance <- ((max(evd_survey_schemes$evsi) - evd_survey_schemes$evsi) / evd_survey_schemes$evsi) * 100 # visualize relative performance # zero = same performance as optimized scheme, # higher values indicate greater sub-optimality evd_survey_schemes %>% mutate(name = factor(name, levels = name), relative_performance = abs(relative_performance), is_best = relative_performance == min(relative_performance)) %>% ggplot(aes(x = name, y = relative_performance)) + geom_point(aes(fill = is_best, color = is_best)) + xlab(\"Survey scheme\") + ylab(\"Performance gap (%)\") + scale_color_manual(values = c(\"TRUE\" = \"#3366FF\", \"FALSE\" = \"black\")) + scale_fill_manual(values = c(\"TRUE\" = \"#3366FF\", \"FALSE\" = \"black\")) + theme(axis.text.x = element_text(angle = 30, vjust = 0.65), legend.position = \"none\")"},{"path":"https://github.com/prioritizr/surveyvoi/articles/surveyvoi.html","id":"conclusion","dir":"Articles","previous_headings":"","what":"Conclusion","title":"surveyvoi: Survey Value of Information","text":"Hopefully, tutorial useful. questions using surveyvoi R package suggestions improving , please file issue package’s online coding repository (https://github.com/prioritizr/surveyvoi/issues).","code":""},{"path":[]},{"path":"https://github.com/prioritizr/surveyvoi/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Jeffrey O Hanson. Author, maintainer. Iadine Chadès. Author. Emma J Hudgins. Author. Joseph R Bennett. Author.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Hanson JO, McCune JL, Chad'es , Proctor CA, Hudgins EJ, Bennett JR (2022). “Optimizing ecological surveys conservation.” Journal Applied Ecology, 60(1), 41–51. doi:10.1111/1365-2664.14309.","code":"@Article{, title = {Optimizing ecological surveys for conservation}, author = {Jeffrey O Hanson and Jenny L McCune and Iadine Chad{`{e}}s and Caitlyn A Proctor and Emma J Hudgins and Joseph R Bennett}, year = {2022}, journal = {Journal of Applied Ecology}, volume = {60}, number = {1}, pages = {41--51}, doi = {10.1111/1365-2664.14309}, }"},{"path":"https://github.com/prioritizr/surveyvoi/index.html","id":"surveyvoi-survey-value-of-information","dir":"","previous_headings":"","what":"Survey Value of Information","title":"Survey Value of Information","text":"surveyvoi package decision support tool prioritizing sites ecological surveys based potential improve plans conserving biodiversity (e.g. plans establishing protected areas). Given set sites potentially acquired conservation management – wherein sites previously surveyed sites – package provides functionality generate evaluate plans additional surveys. Specifically, plans ecological surveys can generated using various conventional approaches (e.g. maximizing expected species richness, geographic coverage, diversity sampled environmental conditions) maximizing value information. generating plans surveys, can also evaluated using value information analysis. Please note several functions depend Gurobi optimization software (available https://www.gurobi.com). Additionally, JAGS software (available https://mcmc-jags.sourceforge.io/) required fit hierarchical generalized linear models.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/index.html","id":"installation","dir":"","previous_headings":"","what":"Installation","title":"Survey Value of Information","text":"latest official version can installed Comprehensive R Archive Network (CRAN) using following R code. Alternatively, latest development version can installed GitHub using following code. Please note developmental versions may contain additional features present official version, may also contain coding errors.","code":"install.packages(\"surveyvoi\", repos = \"https://cran.rstudio.com/\") if (!require(remotes)) install.packages(\"remotes\") remotes::install_github(\"prioritizr/surveyvoi\")"},{"path":"https://github.com/prioritizr/surveyvoi/index.html","id":"windows","dir":"","previous_headings":"Installation","what":"Windows","title":"Survey Value of Information","text":"Rtools software needs installed install surveyvoi R package source. software provides system requirements rwinlib.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/index.html","id":"ubuntu","dir":"","previous_headings":"Installation","what":"Ubuntu","title":"Survey Value of Information","text":"gmp, fftw3, mpfr, symphony libraries need installed install surveyvoi R package. Although fftw3 symphony libraries used directly, needed successfully install dependencies. recent versions Ubuntu (18.04 later), libraries available official repositories. can installed using following system commands:","code":"apt-get -y update apt-get install -y libgmp3-dev libfftw3-dev libmpfr-dev coinor-libsymphony-dev"},{"path":"https://github.com/prioritizr/surveyvoi/index.html","id":"linux","dir":"","previous_headings":"Installation","what":"Linux","title":"Survey Value of Information","text":"Unix-alikes, gmp (>= 4.2.3), mpfr (>= 3.0.0), fftw3 (>= 3.3), symphony (>= 5.6.16) required.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/index.html","id":"macos","dir":"","previous_headings":"Installation","what":"macOS","title":"Survey Value of Information","text":"gmp, fftw, mpfr, symphony libraries required. Although fftw3 symphony libraries used directly, needed successfully install dependencies. easiest way install libraries using HomeBrew. installing HomeBrew, libraries can installed using following commands system terminal:","code":"brew tap coin-or-tools/coinor brew install symphony brew install pkg-config brew install gmp brew install fftw brew install mpfr"},{"path":"https://github.com/prioritizr/surveyvoi/index.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Survey Value of Information","text":"Please cite surveyvoi R package using publications. cite package, please use: Hanson, JO, McCune JL, Chadès , Proctor CA, Hudgins EJ, & Bennett JR (2023) Optimizing ecological surveys conservation. Journal Applied Ecology, 60: 41–51. Available https://doi.org/10.1111/1365-2664.14309.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/index.html","id":"usage","dir":"","previous_headings":"","what":"Usage","title":"Survey Value of Information","text":"provide short example showing use surveyvoi R package prioritize funds ecological surveys. example, generate plans conducting ecological surveys (termed “survey schemes”) using simulated data six sites three conservation features (e.g. bird species). start , set seed random number generator reproducibility load R packages. Now load datasets distributed package. First, load sim_sites object. spatially explicit dataset (.e. sf object) contains information sites within study area. Critically, contains () sites already surveyed, (ii) candidate sites additional surveys, (iii) sites already protected, (iv) candidate sites protected future. row corresponds different site, column describes different properties associated site. table, \"management_cost\" column indicates cost protecting site; \"survey_cost\" column indicates cost conducting ecological survey within site; \"e1\" \"e2\" columns contain environmental data site (used example). remaining columns describe existing survey data spatial distribution features across sites. \"n1\", \"n2\", \"n3\" columns indicate number surveys conducted within site looked three features (respectively); \"f1\", \"f2\", \"f3\" columns describe proportion surveys within site looked feature feature detected (respectively). example, \"n1\" value 2 \"f1\" value 0.5 given site, feature \"f1\" detected one two surveys conducted site looked feature. Finally, \"p1\", \"p2\", \"p3\" columns contain modeled probability estimates species present site (see fit_hglm_occupancy_models() fit_xgb_occupancy_models() generate estimates data). Next, load sim_features object. table contains information conservation features (e.g. species). Specifically, row corresponds different feature, column contains information associated features. table, \"name\" column contains name feature; \"survey\" column indicates whether future surveys look species; \"survey_sensitivity\" \"survey_specificity\" columns denote sensitivity (true positive rate) specificity (true negative rate) survey methodology correctly detecting feature; \"model_sensitivity\" \"model_specificity\" columns denote sensitivity (true positive rate) specificity (true negative rate) species distribution models fitted feature; \"target\" column denotes required number protected sites feature (termed “representation target”, feature target 2 site). loading data, now generate optimized ecological survey scheme. achieve , use approx_optimal_survey_scheme() function. function uses greedy heuristic algorithm maximize value information. Although functions can return solutions guaranteed optimal (.e. optimal_survey_scheme()), can take long time complete use brute-force approach. function also uses approximation routine reduce computational burden. perform optimization, set total budget () protecting sites (ii) surveying sites. Although might hesitant specify budget, please recall make different plans depending available funds. instance, near infinite funds wouldn’t bother conducting surveys simply protect everything. Similarly, limited funds, wouldn’t survey sites ensure least one site protected. Generally, conservation planning problems occur somewhere two extremes—optimization process can’t take account don’t specify budget. brevity, set total budget 90% total costs protecting sites. just taster surveyvoi R package. addition functionality, can used evaluate survey schemes using value information analysis. Furthermore, can used generate survey schemes using conventional approaches (e.g. sampling environmental gradients, selecting places highly uncertain information). information, see package vignette.","code":"set.seed(502) # set RNG for reproducibility library(surveyvoi) # package for value of information analysis library(dplyr) # package for preparing data library(tidyr) # package for preparing data library(ggplot2) # package for plotting data # load data data(sim_sites) # print table print(sim_sites, width = Inf) ## Simple feature collection with 6 features and 13 fields ## Geometry type: POINT ## Dimension: XY ## Bounding box: xmin: 0.02541313 ymin: 0.07851093 xmax: 0.9888107 ymax: 0.717068 ## CRS: NA ## # A tibble: 6 × 14 ## survey_cost management_cost f1 f2 f3 n1 n2 n3 e1 e2 ## ## 1 19 99 0 0 0 0 0 0 1.13 0.535 ## 2 22 87 0 1 0.25 4 4 4 -1.37 -1.45 ## 3 13 94 1 1 0 1 1 1 0.155 -0.867 ## 4 19 61 0 0 0 0 0 0 -0.792 1.32 ## 5 9 105 0 0 0 0 0 0 -0.194 0.238 ## 6 12 136 0 0 0 0 0 0 1.07 0.220 ## p1 p2 p3 geometry ## ## 1 0.999 0.988 0.21 (0.03529733 0.544939) ## 2 0.001 0.995 0.152 (0.33276 0.3174416) ## 3 0.966 1 0.017 (0.6141922 0.07851093) ## 4 0 0 1 (0.02541313 0.1147132) ## 5 0.11 0.006 0.831 (0.9888107 0.2152785) ## 6 1 1 0.082 (0.9038749 0.717068) # plot cost of protecting each site ggplot(sim_sites) + geom_sf(aes(color = management_cost), size = 4) + ggtitle(\"management_cost\") + theme(legend.title = element_blank(), text = element_text(size = 16)) # plot cost of conducting an additional survey in each site # note that these costs are much lower than the protection costs ggplot(sim_sites) + geom_sf(aes(color = survey_cost), size = 4) + ggtitle(\"survey_cost\") + theme(legend.title = element_blank(), text = element_text(size = 16)) # plot survey data ## n1, n2, n3: number of surveys in each site that looked for each feature sim_sites %>% select(n1, n2, n3) %>% gather(name, value, -geometry) %>% ggplot() + geom_sf(aes(color = value), size = 4) + facet_wrap(~name, nrow = 1) + theme(text = element_text(size = 16)) # plot survey results ## f1, f2, f3: proportion of surveys in each site that looked for each feature ## that detected the feature sim_sites %>% select(f1, f2, f3) %>% gather(name, value, -geometry) %>% ggplot() + geom_sf(aes(color = value), size = 4) + facet_wrap(~name, nrow = 1) + scale_color_continuous(limits = c(0, 1)) + theme(text = element_text(size = 16)) # plot modeled probability of occupancy data sim_sites %>% select(p1, p2, p3) %>% gather(name, value, -geometry) %>% ggplot() + geom_sf(aes(color = value), size = 4) + facet_wrap(~name, nrow = 1) + scale_color_continuous(limits = c(0, 1)) + theme(text = element_text(size = 16)) # load data data(sim_features) # print table print(sim_features, width = Inf) ## # A tibble: 3 × 7 ## name survey survey_sensitivity survey_specificity model_sensitivity ## ## 1 f1 TRUE 0.951 0.854 0.711 ## 2 f2 TRUE 0.990 0.832 0.722 ## 3 f3 TRUE 0.986 0.808 0.772 ## model_specificity target ## ## 1 0.841 2 ## 2 0.806 2 ## 3 0.871 2 # calculate budget budget <- sum(0.4 * sim_sites$management_cost) # generate optimized survey scheme opt_scheme <- approx_optimal_survey_scheme( site_data = sim_sites, feature_data = sim_features, site_detection_columns = c(\"f1\", \"f2\", \"f3\"), site_n_surveys_columns = c(\"n1\", \"n2\", \"n3\"), site_probability_columns = c(\"p1\", \"p2\", \"p3\"), site_management_cost_column = \"management_cost\", site_survey_cost_column = \"survey_cost\", feature_survey_column = \"survey\", feature_survey_sensitivity_column = \"survey_sensitivity\", feature_survey_specificity_column = \"survey_specificity\", feature_model_sensitivity_column = \"model_sensitivity\", feature_model_specificity_column = \"model_specificity\", feature_target_column = \"target\", total_budget = budget, survey_budget = budget, verbose = TRUE ) # the opt_scheme object is a matrix that contains the survey schemes # each column corresponds to a different site, # and each row corresponds to a different solution # in the event that there are multiple near-optimal survey schemes, then this # matrix will have multiple rows print(str(opt_scheme)) ## logi [1, 1:6] TRUE FALSE FALSE TRUE TRUE FALSE ## - attr(*, \"ev\")= num [1, 1:100] 0.596 0.596 0.596 0.596 0.596 ... ## NULL # let's add the first solution (row) in opt_scheme to the site data to plot it sim_sites$scheme <- c(opt_scheme[1, ]) # plot scheme # TRUE = selected for an additional ecological survey # FALSE = not selected ggplot(sim_sites) + geom_sf(aes(color = scheme), size = 4) + ggtitle(\"scheme\") + theme(text = element_text(size = 16))"},{"path":"https://github.com/prioritizr/surveyvoi/index.html","id":"getting-help","dir":"","previous_headings":"","what":"Getting help","title":"Survey Value of Information","text":"questions using surveyvoi R package suggestions improving , please file issue package’s online code repository.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/approx_evdsi.html","id":null,"dir":"Reference","previous_headings":"","what":"Approximate expected value of the decision given survey information — approx_evdsi","title":"Approximate expected value of the decision given survey information — approx_evdsi","text":"Calculate expected value management decision given survey information. metric describes value management decision expected decision maker conducts surveys set sites inform decision. speed calculations, approximation method used.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/approx_evdsi.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Approximate expected value of the decision given survey information — approx_evdsi","text":"","code":"approx_evdsi( site_data, feature_data, site_detection_columns, site_n_surveys_columns, site_probability_columns, site_management_cost_column, site_survey_scheme_column, site_survey_cost_column, feature_survey_column, feature_survey_sensitivity_column, feature_survey_specificity_column, feature_model_sensitivity_column, feature_model_specificity_column, feature_target_column, total_budget, site_management_locked_in_column = NULL, site_management_locked_out_column = NULL, prior_matrix = NULL, n_approx_replicates = 100, n_approx_outcomes_per_replicate = 10000, seed = 500 )"},{"path":"https://github.com/prioritizr/surveyvoi/reference/approx_evdsi.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Approximate expected value of the decision given survey information — approx_evdsi","text":"site_data sf::sf() object site data. feature_data base::data.frame() object feature data. site_detection_columns character names numeric columns argument site_data contain proportion surveys conducted within site detected feature. column correspond different feature, contain proportion value (zero one). site previously surveyed, value zero used. site_n_surveys_columns character names numeric columns argument site_data contain total number surveys conducted feature within site. column correspond different feature, contain non-negative integer number (e.g. 0, 1, 2, 3). site previously surveyed, value zero used. site_probability_columns character names numeric columns argument site_data contain modeled probabilities occupancy feature site. column correspond different feature, contain probability data (values zero one). missing (NA) values permitted columns. site_management_cost_column character name column argument site_data contains costs managing site conservation. column numeric values equal greater zero. missing (NA) values permitted column. site_survey_scheme_column character name logical (TRUE / FALSE) column argument site_data indicates sites selected scheme . missing NA values permitted. Additionally, sites missing data can selected surveying (per argument site_detection_columns). site_survey_cost_column character name column argument site_data contains costs surveying site. column numeric values equal greater zero. missing (NA) values permitted column. feature_survey_column character name column argument feature_data contains logical (TRUE / FALSE) values indicating feature surveyed planned surveys . Note considering additional features rapidly increase computational burden, recommended consider features specific conservation interest. missing (NA) values permitted column. feature_survey_sensitivity_column character name column argument feature_data contains probability future surveys correctly detecting presence feature given site (.e. sensitivity survey methodology). column numeric values zero one. missing (NA) values permitted column. feature_survey_specificity_column character name column argument feature_data contains probability future surveys correctly detecting absence feature given site (.e. specificity survey methodology). column numeric values zero one. missing (NA) values permitted column. feature_model_sensitivity_column character name column argument feature_data contains probability initial models correctly predicting presence feature given site (.e. sensitivity models). column numeric values zero one. missing (NA) values permitted column. ideally calculated using fit_xgb_occupancy_models() fit_hglm_occupancy_models(). feature_model_specificity_column character name column argument feature_data contains probability initial models correctly predicting absence feature given site (.e. specificity models). column numeric values zero one. missing (NA) values permitted column. ideally calculated using fit_xgb_occupancy_models() fit_hglm_occupancy_models(). feature_target_column character name column argument feature_data contains \\(target\\) values used parametrize conservation benefit managing feature. column numeric values equal greater zero. missing (NA) values permitted column. total_budget numeric maximum expenditure permitted conducting surveys managing sites conservation. site_management_locked_in_column character name column argument site_data contains logical (TRUE / FALSE) values indicating sites locked (TRUE) managed conservation (FALSE) . missing (NA) values permitted column. useful sites already earmarked conservation, sites already managed conservation. Defaults NULL sites locked . site_management_locked_out_column character name column argument site_data contains logical (TRUE / FALSE) values indicating sites locked (TRUE) managed conservation (FALSE) . missing (NA) values permitted column. useful sites potentially surveyed improve model predictions even managed conservation. Defaults NULL sites locked . prior_matrix numeric matrix containing prior probability feature occupying site. Rows correspond features, columns correspond sites. Defaults NULL prior data calculated automatically using prior_probability_matrix(). n_approx_replicates integer number replicates use approximating expected value calculations. Defaults 100. n_approx_outcomes_per_replicate integer number outcomes use per replicate approximation calculations. Defaults 10000. seed integer state random number generator simulating outcomes conducting value information analyses. Defaults 500.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/approx_evdsi.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Approximate expected value of the decision given survey information — approx_evdsi","text":"numeric vector containing expected values replicate.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/approx_evdsi.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Approximate expected value of the decision given survey information — approx_evdsi","text":"function uses approximation methods estimate expected value calculations. accuracy calculations depend arguments n_approx_replicates n_approx_outcomes_per_replicate, may need increase parameters large problems.","code":""},{"path":[]},{"path":"https://github.com/prioritizr/surveyvoi/reference/approx_evdsi.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Approximate expected value of the decision given survey information — approx_evdsi","text":"","code":"# set seeds for reproducibility set.seed(123) # load example site data data(sim_sites) print(sim_sites) #> Simple feature collection with 6 features and 13 fields #> Geometry type: POINT #> Dimension: XY #> Bounding box: xmin: 0.02541313 ymin: 0.07851093 xmax: 0.9888107 ymax: 0.717068 #> CRS: NA #> # A tibble: 6 × 14 #> survey_cost management_cost f1 f2 f3 n1 n2 n3 e1 e2 #> #> 1 19 99 0 0 0 0 0 0 1.13 0.535 #> 2 22 87 0 1 0.25 4 4 4 -1.37 -1.45 #> 3 13 94 1 1 0 1 1 1 0.155 -0.867 #> 4 19 61 0 0 0 0 0 0 -0.792 1.32 #> 5 9 105 0 0 0 0 0 0 -0.194 0.238 #> 6 12 136 0 0 0 0 0 0 1.07 0.220 #> # ℹ 4 more variables: p1 , p2 , p3 , geometry # load example feature data data(sim_features) print(sim_features) #> # A tibble: 3 × 7 #> name survey survey_sensitivity survey_specificity model_sensitivity #> #> 1 f1 TRUE 0.951 0.854 0.711 #> 2 f2 TRUE 0.990 0.832 0.722 #> 3 f3 TRUE 0.986 0.808 0.772 #> # ℹ 2 more variables: model_specificity , target # set total budget for managing sites for conservation # (i.e. 50% of the cost of managing all sites) total_budget <- sum(sim_sites$management_cost) * 0.5 # create a survey scheme that samples the first two sites that # are missing data sim_sites$survey_site <- FALSE sim_sites$survey_site[which(sim_sites$n1 < 0.5)[1:2]] <- TRUE # calculate expected value of management decision given the survey # information using approximation method approx_ev_survey <- approx_evdsi( sim_sites, sim_features, c(\"f1\", \"f2\", \"f3\"), c(\"n1\", \"n2\", \"n3\"), c(\"p1\", \"p2\", \"p3\"), \"management_cost\", \"survey_site\", \"survey_cost\", \"survey\", \"survey_sensitivity\", \"survey_specificity\", \"model_sensitivity\", \"model_specificity\", \"target\", total_budget) # print mean value print(mean(approx_ev_survey)) #> [1] 1.224692"},{"path":"https://github.com/prioritizr/surveyvoi/reference/approx_near_optimal_survey_scheme.html","id":null,"dir":"Reference","previous_headings":"","what":"Approximately near optimal survey scheme — approx_near_optimal_survey_scheme","title":"Approximately near optimal survey scheme — approx_near_optimal_survey_scheme","text":"Find near optimal survey scheme maximizes value information. function uses approximation method calculating expected value decision given survey scheme, greedy heuristic algorithm maximize metric.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/approx_near_optimal_survey_scheme.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Approximately near optimal survey scheme — approx_near_optimal_survey_scheme","text":"","code":"approx_near_optimal_survey_scheme( site_data, feature_data, site_detection_columns, site_n_surveys_columns, site_probability_columns, site_management_cost_column, site_survey_cost_column, feature_survey_column, feature_survey_sensitivity_column, feature_survey_specificity_column, feature_model_sensitivity_column, feature_model_specificity_column, feature_target_column, total_budget, survey_budget, site_management_locked_in_column = NULL, site_management_locked_out_column = NULL, site_survey_locked_out_column = NULL, prior_matrix = NULL, n_approx_replicates = 100, n_approx_outcomes_per_replicate = 10000, seed = 500, n_threads = 1, verbose = FALSE )"},{"path":"https://github.com/prioritizr/surveyvoi/reference/approx_near_optimal_survey_scheme.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Approximately near optimal survey scheme — approx_near_optimal_survey_scheme","text":"site_data sf::sf() object site data. feature_data base::data.frame() object feature data. site_detection_columns character names numeric columns argument site_data contain proportion surveys conducted within site detected feature. column correspond different feature, contain proportion value (zero one). site previously surveyed, value zero used. site_n_surveys_columns character names numeric columns argument site_data contain total number surveys conducted feature within site. column correspond different feature, contain non-negative integer number (e.g. 0, 1, 2, 3). site previously surveyed, value zero used. site_probability_columns character names numeric columns argument site_data contain modeled probabilities occupancy feature site. column correspond different feature, contain probability data (values zero one). missing (NA) values permitted columns. site_management_cost_column character name column argument site_data contains costs managing site conservation. column numeric values equal greater zero. missing (NA) values permitted column. site_survey_cost_column character name column argument site_data contains costs surveying site. column numeric values equal greater zero. missing (NA) values permitted column. feature_survey_column character name column argument feature_data contains logical (TRUE / FALSE) values indicating feature surveyed planned surveys . Note considering additional features rapidly increase computational burden, recommended consider features specific conservation interest. missing (NA) values permitted column. feature_survey_sensitivity_column character name column argument feature_data contains probability future surveys correctly detecting presence feature given site (.e. sensitivity survey methodology). column numeric values zero one. missing (NA) values permitted column. feature_survey_specificity_column character name column argument feature_data contains probability future surveys correctly detecting absence feature given site (.e. specificity survey methodology). column numeric values zero one. missing (NA) values permitted column. feature_model_sensitivity_column character name column argument feature_data contains probability initial models correctly predicting presence feature given site (.e. sensitivity models). column numeric values zero one. missing (NA) values permitted column. ideally calculated using fit_xgb_occupancy_models() fit_hglm_occupancy_models(). feature_model_specificity_column character name column argument feature_data contains probability initial models correctly predicting absence feature given site (.e. specificity models). column numeric values zero one. missing (NA) values permitted column. ideally calculated using fit_xgb_occupancy_models() fit_hglm_occupancy_models(). feature_target_column character name column argument feature_data contains \\(target\\) values used parametrize conservation benefit managing feature. column numeric values equal greater zero. missing (NA) values permitted column. total_budget numeric maximum expenditure permitted conducting surveys managing sites conservation. survey_budget numeric maximum expenditure permitted conducting surveys. site_management_locked_in_column character name column argument site_data contains logical (TRUE / FALSE) values indicating sites locked (TRUE) managed conservation (FALSE) . missing (NA) values permitted column. useful sites already earmarked conservation, sites already managed conservation. Defaults NULL sites locked . site_management_locked_out_column character name column argument site_data contains logical (TRUE / FALSE) values indicating sites locked (TRUE) managed conservation (FALSE) . missing (NA) values permitted column. useful sites potentially surveyed improve model predictions even managed conservation. Defaults NULL sites locked . site_survey_locked_out_column character name column argument site_data contains logical (TRUE / FALSE) values indicating sites locked (TRUE) selected future surveys (FALSE) . missing (NA) values permitted column. useful sites never considered future surveys (e.g. costly survey, low chance containing target species). Defaults NULL sites locked . prior_matrix numeric matrix containing prior probability feature occupying site. Rows correspond features, columns correspond sites. Defaults NULL prior data calculated automatically using prior_probability_matrix(). n_approx_replicates integer number replicates use approximating expected value calculations. Defaults 100. n_approx_outcomes_per_replicate integer number outcomes use per replicate approximation calculations. Defaults 10000. seed integer state random number generator simulating outcomes conducting value information analyses. Defaults 500. n_threads integer number threads use computation. verbose logical indicating information printed processing. Defaults FALSE.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/approx_near_optimal_survey_scheme.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Approximately near optimal survey scheme — approx_near_optimal_survey_scheme","text":"matrix logical (TRUE/ FALSE) values indicating site selected scheme . Columns correspond sites, rows correspond different schemes. ties best identified solution, matrix contain single row.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/approx_near_optimal_survey_scheme.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Approximately near optimal survey scheme — approx_near_optimal_survey_scheme","text":"Ideally, brute-force algorithm used identify optimal survey scheme. Unfortunately, feasible apply brute-force large problems can take incredibly long time complete. cases, may desirable obtain \"relatively good\" survey scheme greedy heuristic algorithm provided cases. greedy heuristic algorithm – unlike brute force algorithm – guaranteed identify optimal solution – even \"relatively good solution\" matter – though greedy heuristic algorithms tend deliver solutions 15\\ greedy algorithms implemented : Initialize empty list survey scheme solutions, empty list approximate expected values. Calculate expected value current information. Add survey scheme sites selected surveying list survey scheme solutions, add expected value current information list approximate expected values. Set current survey solution survey scheme sites selected surveying. remaining candidate site selected survey, generate new candidate survey scheme candidate site added current survey solution. Calculate approximate expected value new candidate survey scheme. cost given candidate survey scheme exceeds survey budget, store missing NA value instead. Also cost given candidate survey scheme plus management costs locked planning units exceeds total budget, store missing value NA value . new candidate survey schemes associated missing NA values – exceed survey budget – go step 12. Calculate cost effectiveness new candidate survey scheme. calculated difference approximate expected value given new candidate survey scheme current survey solution, dividing difference cost newly selected candidate site. Find new candidate survey scheme associated highest cost-effectiveness value, ignoring missing NA values. new candidate survey scheme now set current survey scheme. Store current survey scheme list survey scheme solutions store approximate expected value list approximate expected values. Go step 12. Find solution list survey scheme solutions highest expected value list approximate expected values return solution.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/approx_near_optimal_survey_scheme.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Approximately near optimal survey scheme — approx_near_optimal_survey_scheme","text":"","code":"# set seeds for reproducibility set.seed(123) # load example site data data(sim_sites) print(sim_sites) #> Simple feature collection with 6 features and 13 fields #> Geometry type: POINT #> Dimension: XY #> Bounding box: xmin: 0.02541313 ymin: 0.07851093 xmax: 0.9888107 ymax: 0.717068 #> CRS: NA #> # A tibble: 6 × 14 #> survey_cost management_cost f1 f2 f3 n1 n2 n3 e1 e2 #> #> 1 19 99 0 0 0 0 0 0 1.13 0.535 #> 2 22 87 0 1 0.25 4 4 4 -1.37 -1.45 #> 3 13 94 1 1 0 1 1 1 0.155 -0.867 #> 4 19 61 0 0 0 0 0 0 -0.792 1.32 #> 5 9 105 0 0 0 0 0 0 -0.194 0.238 #> 6 12 136 0 0 0 0 0 0 1.07 0.220 #> # ℹ 4 more variables: p1 , p2 , p3 , geometry # load example feature data data(sim_features) print(sim_features) #> # A tibble: 3 × 7 #> name survey survey_sensitivity survey_specificity model_sensitivity #> #> 1 f1 TRUE 0.951 0.854 0.711 #> 2 f2 TRUE 0.990 0.832 0.722 #> 3 f3 TRUE 0.986 0.808 0.772 #> # ℹ 2 more variables: model_specificity , target # set total budget for managing sites for conservation # (i.e. 50% of the cost of managing all sites) total_budget <- sum(sim_sites$management_cost) * 0.5 # set total budget for surveying sites for conservation # (i.e. 40% of the cost of managing all sites) survey_budget <- sum(sim_sites$survey_cost) * 0.4 # find survey scheme using approximate method and greedy heuristic algorithm # (using 10 replicates so that this example completes relatively quickly) approx_near_optimal_survey <- approx_near_optimal_survey_scheme( sim_sites, sim_features, c(\"f1\", \"f2\", \"f3\"), c(\"n1\", \"n2\", \"n3\"), c(\"p1\", \"p2\", \"p3\"), \"management_cost\", \"survey_cost\", \"survey\", \"survey_sensitivity\", \"survey_specificity\", \"model_sensitivity\", \"model_specificity\", \"target\", total_budget, survey_budget) # print result print(approx_near_optimal_survey) #> [,1] [,2] [,3] [,4] [,5] [,6] #> [1,] FALSE FALSE FALSE FALSE TRUE FALSE #> [2,] FALSE FALSE FALSE FALSE TRUE TRUE #> attr(,\"ev\") #> [1] 1.771926 1.771926"},{"path":"https://github.com/prioritizr/surveyvoi/reference/approx_optimal_survey_scheme.html","id":null,"dir":"Reference","previous_headings":"","what":"Approximately optimal survey scheme — approx_optimal_survey_scheme","title":"Approximately optimal survey scheme — approx_optimal_survey_scheme","text":"Find optimal survey scheme maximizes value information. function uses approximation method calculating expected value decision given survey scheme.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/approx_optimal_survey_scheme.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Approximately optimal survey scheme — approx_optimal_survey_scheme","text":"","code":"approx_optimal_survey_scheme( site_data, feature_data, site_detection_columns, site_n_surveys_columns, site_probability_columns, site_management_cost_column, site_survey_cost_column, feature_survey_column, feature_survey_sensitivity_column, feature_survey_specificity_column, feature_model_sensitivity_column, feature_model_specificity_column, feature_target_column, total_budget, survey_budget, site_management_locked_in_column = NULL, site_management_locked_out_column = NULL, site_survey_locked_out_column = NULL, prior_matrix = NULL, n_approx_replicates = 100, n_approx_outcomes_per_replicate = 10000, seed = 500, n_threads = 1, verbose = FALSE )"},{"path":"https://github.com/prioritizr/surveyvoi/reference/approx_optimal_survey_scheme.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Approximately optimal survey scheme — approx_optimal_survey_scheme","text":"site_data sf::sf() object site data. feature_data base::data.frame() object feature data. site_detection_columns character names numeric columns argument site_data contain proportion surveys conducted within site detected feature. column correspond different feature, contain proportion value (zero one). site previously surveyed, value zero used. site_n_surveys_columns character names numeric columns argument site_data contain total number surveys conducted feature within site. column correspond different feature, contain non-negative integer number (e.g. 0, 1, 2, 3). site previously surveyed, value zero used. site_probability_columns character names numeric columns argument site_data contain modeled probabilities occupancy feature site. column correspond different feature, contain probability data (values zero one). missing (NA) values permitted columns. site_management_cost_column character name column argument site_data contains costs managing site conservation. column numeric values equal greater zero. missing (NA) values permitted column. site_survey_cost_column character name column argument site_data contains costs surveying site. column numeric values equal greater zero. missing (NA) values permitted column. feature_survey_column character name column argument feature_data contains logical (TRUE / FALSE) values indicating feature surveyed planned surveys . Note considering additional features rapidly increase computational burden, recommended consider features specific conservation interest. missing (NA) values permitted column. feature_survey_sensitivity_column character name column argument feature_data contains probability future surveys correctly detecting presence feature given site (.e. sensitivity survey methodology). column numeric values zero one. missing (NA) values permitted column. feature_survey_specificity_column character name column argument feature_data contains probability future surveys correctly detecting absence feature given site (.e. specificity survey methodology). column numeric values zero one. missing (NA) values permitted column. feature_model_sensitivity_column character name column argument feature_data contains probability initial models correctly predicting presence feature given site (.e. sensitivity models). column numeric values zero one. missing (NA) values permitted column. ideally calculated using fit_xgb_occupancy_models() fit_hglm_occupancy_models(). feature_model_specificity_column character name column argument feature_data contains probability initial models correctly predicting absence feature given site (.e. specificity models). column numeric values zero one. missing (NA) values permitted column. ideally calculated using fit_xgb_occupancy_models() fit_hglm_occupancy_models(). feature_target_column character name column argument feature_data contains \\(target\\) values used parametrize conservation benefit managing feature. column numeric values equal greater zero. missing (NA) values permitted column. total_budget numeric maximum expenditure permitted conducting surveys managing sites conservation. survey_budget numeric maximum expenditure permitted conducting surveys. site_management_locked_in_column character name column argument site_data contains logical (TRUE / FALSE) values indicating sites locked (TRUE) managed conservation (FALSE) . missing (NA) values permitted column. useful sites already earmarked conservation, sites already managed conservation. Defaults NULL sites locked . site_management_locked_out_column character name column argument site_data contains logical (TRUE / FALSE) values indicating sites locked (TRUE) managed conservation (FALSE) . missing (NA) values permitted column. useful sites potentially surveyed improve model predictions even managed conservation. Defaults NULL sites locked . site_survey_locked_out_column character name column argument site_data contains logical (TRUE / FALSE) values indicating sites locked (TRUE) selected future surveys (FALSE) . missing (NA) values permitted column. useful sites never considered future surveys (e.g. costly survey, low chance containing target species). Defaults NULL sites locked . prior_matrix numeric matrix containing prior probability feature occupying site. Rows correspond features, columns correspond sites. Defaults NULL prior data calculated automatically using prior_probability_matrix(). n_approx_replicates integer number replicates use approximating expected value calculations. Defaults 100. n_approx_outcomes_per_replicate integer number outcomes use per replicate approximation calculations. Defaults 10000. seed integer state random number generator simulating outcomes conducting value information analyses. Defaults 500. n_threads integer number threads use computation. verbose logical indicating information printed processing. Defaults FALSE.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/approx_optimal_survey_scheme.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Approximately optimal survey scheme — approx_optimal_survey_scheme","text":"matrix logical (TRUE/ FALSE) values indicating site selected scheme . Columns correspond sites, rows correspond different schemes. one optimal survey scheme matrix contain single row. matrix also numeric \"ev\" attribute contains matrix approximate expected values. Within attribute, row corresponds different survey scheme column corresponds different replicate.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/approx_optimal_survey_scheme.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Approximately optimal survey scheme — approx_optimal_survey_scheme","text":"\"approximately\" optimal survey scheme determined using brute-force algorithm. Initially, feasible (valid) survey schemes identified given survey costs survey budget (using feasible_survey_schemes(). Next, expected value every feasible survey scheme approximated (using approx_evdsi()). Finally, greatest expected value identified, survey schemes share greatest expected value returned. Due nature algorithm, can take long time complete.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/approx_optimal_survey_scheme.html","id":"dependencies","dir":"Reference","previous_headings":"","what":"Dependencies","title":"Approximately optimal survey scheme — approx_optimal_survey_scheme","text":"Please note function requires Gurobi optimization software (https://www.gurobi.com/) gurobi R package different sites different survey costs. Installation instruction available online Linux, Windows, Mac OS (see https://support.gurobi.com/hc/en-us/articles/4534161999889----install-Gurobi-Optimizer).","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/approx_optimal_survey_scheme.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Approximately optimal survey scheme — approx_optimal_survey_scheme","text":"","code":"# set seeds for reproducibility set.seed(123) # load example site data data(sim_sites) print(sim_sites) #> Simple feature collection with 6 features and 13 fields #> Geometry type: POINT #> Dimension: XY #> Bounding box: xmin: 0.02541313 ymin: 0.07851093 xmax: 0.9888107 ymax: 0.717068 #> CRS: NA #> # A tibble: 6 × 14 #> survey_cost management_cost f1 f2 f3 n1 n2 n3 e1 e2 #> #> 1 19 99 0 0 0 0 0 0 1.13 0.535 #> 2 22 87 0 1 0.25 4 4 4 -1.37 -1.45 #> 3 13 94 1 1 0 1 1 1 0.155 -0.867 #> 4 19 61 0 0 0 0 0 0 -0.792 1.32 #> 5 9 105 0 0 0 0 0 0 -0.194 0.238 #> 6 12 136 0 0 0 0 0 0 1.07 0.220 #> # ℹ 4 more variables: p1 , p2 , p3 , geometry # load example feature data data(sim_features) print(sim_features) #> # A tibble: 3 × 7 #> name survey survey_sensitivity survey_specificity model_sensitivity #> #> 1 f1 TRUE 0.951 0.854 0.711 #> 2 f2 TRUE 0.990 0.832 0.722 #> 3 f3 TRUE 0.986 0.808 0.772 #> # ℹ 2 more variables: model_specificity , target # set total budget for managing sites for conservation # (i.e. 50% of the cost of managing all sites) total_budget <- sum(sim_sites$management_cost) * 0.5 # set total budget for surveying sites for conservation # (i.e. 40% of the cost of surveying all sites) survey_budget <- sum(sim_sites$survey_cost) * 0.4 # \\dontrun{ # find optimal survey scheme using approximate method # (using 10 replicates so that this example completes relatively quickly) approx_opt_survey <- approx_optimal_survey_scheme( sim_sites, sim_features, c(\"f1\", \"f2\", \"f3\"), c(\"n1\", \"n2\", \"n3\"), c(\"p1\", \"p2\", \"p3\"), \"management_cost\", \"survey_cost\", \"survey\", \"survey_sensitivity\", \"survey_specificity\", \"model_sensitivity\", \"model_specificity\", \"target\", total_budget, survey_budget) # print result print(approx_opt_survey) #> [,1] [,2] [,3] [,4] [,5] [,6] #> [1,] FALSE FALSE FALSE FALSE FALSE FALSE #> attr(,\"ev\") #> [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] #> [1,] 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 #> [,11] [,12] [,13] [,14] [,15] [,16] [,17] [,18] [,19] [,20] #> [1,] 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 #> [,21] [,22] [,23] [,24] [,25] [,26] [,27] [,28] [,29] [,30] #> [1,] 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 #> [,31] [,32] [,33] [,34] [,35] [,36] [,37] [,38] [,39] [,40] #> [1,] 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 #> [,41] [,42] [,43] [,44] [,45] [,46] [,47] [,48] [,49] [,50] #> [1,] 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 #> [,51] [,52] [,53] [,54] [,55] [,56] [,57] [,58] [,59] [,60] #> [1,] 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 #> [,61] [,62] [,63] [,64] [,65] [,66] [,67] [,68] [,69] [,70] #> [1,] 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 #> [,71] [,72] [,73] [,74] [,75] [,76] [,77] [,78] [,79] [,80] #> [1,] 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 #> [,81] [,82] [,83] [,84] [,85] [,86] [,87] [,88] [,89] [,90] #> [1,] 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 #> [,91] [,92] [,93] [,94] [,95] [,96] [,97] [,98] [,99] [,100] #> [1,] 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 1.7165 # }"},{"path":"https://github.com/prioritizr/surveyvoi/reference/env_div_survey_scheme.html","id":null,"dir":"Reference","previous_headings":"","what":"Environmental diversity survey scheme — env_div_survey_scheme","title":"Environmental diversity survey scheme — env_div_survey_scheme","text":"Generate survey scheme maximizing diversity environmental conditions surveyed.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/env_div_survey_scheme.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Environmental diversity survey scheme — env_div_survey_scheme","text":"","code":"env_div_survey_scheme( site_data, cost_column, survey_budget, env_vars_columns, method = \"mahalanobis\", locked_in_column = NULL, locked_out_column = NULL, exclude_locked_out = FALSE, solver = \"auto\", verbose = FALSE )"},{"path":"https://github.com/prioritizr/surveyvoi/reference/env_div_survey_scheme.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Environmental diversity survey scheme — env_div_survey_scheme","text":"site_data sf::sf() object containing candidate survey sites. cost_column character name column argument argument site_data contains cost surveying site. missing (NA) values permitted. survey_budget numeric vector maximum budgets survey schemes. missing (NA) values permitted. env_vars_columns character vector names columns argument site_data contain numeric environmental variables. missing (NA) values permitted. method character name distance metric use calculating environmental dissimilarity scores. See vegan::vegdist() documentation method parameter available distance metrics information. missing (NA) values permitted. Defaults \"mahalanobis\" Mahalanobis distances. locked_in_column character (optional) name column argument site_data contains logical (TRUE/ FALSE) values indicating certain sites locked survey scheme. missing (NA) values permitted. Defaults NULL sites locked . locked_out_column character (optional) name column argument site_data contains logical (TRUE/ FALSE) values indicating certain sites locked survey scheme. missing (NA) values permitted. Defaults NULL sites locked . exclude_locked_out logical locked planning units entirely excluded optimization process? Defaults FALSE. solver character name optimization solver use generating survey schemes. Available options include: \"Rsymphony\", \"gurobi\" \"auto\". \"auto\" method use Gurobi optimization software available; otherwise, use SYMPHONY software via Rsymphony package. Defaults \"auto\". verbose logical indicating information printed generating survey scheme(s). Defaults FALSE.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/env_div_survey_scheme.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Environmental diversity survey scheme — env_div_survey_scheme","text":"matrix logical (TRUE/ FALSE) values indicating site selected scheme . Columns correspond sites, rows correspond different schemes.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/env_div_survey_scheme.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Environmental diversity survey scheme — env_div_survey_scheme","text":"integer programming formulation environmental diversity reserve selection problem (Faith & Walker 1996) used generate survey schemes.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/env_div_survey_scheme.html","id":"solver","dir":"Reference","previous_headings":"","what":"Solver","title":"Environmental diversity survey scheme — env_div_survey_scheme","text":"function can use Rsymphony package Gurobi optimization software generate survey schemes. Although Rsymphony package easier install freely available Comprehensive R Archive Network (CRAN), strongly recommended install Gurobi optimization software gurobi R package can generate survey schemes much faster. Note special academic licenses available cost. Installation instructions available online Linux, Windows, Mac OS operating systems.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/env_div_survey_scheme.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Environmental diversity survey scheme — env_div_survey_scheme","text":"Faith DP & Walker PA (1996) Environmental diversity: best-possible use surrogate data assessing relative biodiversity sets areas. Biodiversity & Conservation, 5, 399–415.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/env_div_survey_scheme.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Environmental diversity survey scheme — env_div_survey_scheme","text":"","code":"# set seed for reproducibility set.seed(123) # simulate data x <- sf::st_as_sf( tibble::tibble(x = rnorm(4), y = rnorm(4), v1 = c(0.1, 0.2, 0.3, 10), # environmental axis 1 v2 = c(0.1, 0.2, 0.3, 10), # environmental axis 2 cost = rep(1, 4)), coords = c(\"x\", \"y\")) # plot the sites' environmental conditions plot(x[, c(\"v1\", \"v2\")], pch = 16, cex = 3) # generate scheme with a budget of 2 s <- env_div_survey_scheme(x, \"cost\", 2, c(\"v1\", \"v2\"), \"mahalanobis\") # print scheme print(s) #> [,1] [,2] [,3] [,4] #> [1,] FALSE TRUE FALSE TRUE # plot scheme x$scheme <- c(s) plot(x[, \"scheme\"], pch = 16, cex = 3)"},{"path":"https://github.com/prioritizr/surveyvoi/reference/evdci.html","id":null,"dir":"Reference","previous_headings":"","what":"Expected value of the decision given current information — evdci","title":"Expected value of the decision given current information — evdci","text":"Calculate expected value management decision given current information. metric describes value management decision expected decision maker limited existing biodiversity data (.e. survey data environmental niche models).","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/evdci.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Expected value of the decision given current information — evdci","text":"","code":"evdci( site_data, feature_data, site_detection_columns, site_n_surveys_columns, site_probability_columns, site_management_cost_column, feature_survey_sensitivity_column, feature_survey_specificity_column, feature_model_sensitivity_column, feature_model_specificity_column, feature_target_column, total_budget, site_management_locked_in_column = NULL, site_management_locked_out_column = NULL, prior_matrix = NULL )"},{"path":"https://github.com/prioritizr/surveyvoi/reference/evdci.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Expected value of the decision given current information — evdci","text":"site_data sf::sf() object site data. feature_data base::data.frame() object feature data. site_detection_columns character names numeric columns argument site_data contain proportion surveys conducted within site detected feature. column correspond different feature, contain proportion value (zero one). site previously surveyed, value zero used. site_n_surveys_columns character names numeric columns argument site_data contain total number surveys conducted feature within site. column correspond different feature, contain non-negative integer number (e.g. 0, 1, 2, 3). site previously surveyed, value zero used. site_probability_columns character names numeric columns argument site_data contain modeled probabilities occupancy feature site. column correspond different feature, contain probability data (values zero one). missing (NA) values permitted columns. site_management_cost_column character name column argument site_data contains costs managing site conservation. column numeric values equal greater zero. missing (NA) values permitted column. feature_survey_sensitivity_column character name column argument feature_data contains probability future surveys correctly detecting presence feature given site (.e. sensitivity survey methodology). column numeric values zero one. missing (NA) values permitted column. feature_survey_specificity_column character name column argument feature_data contains probability future surveys correctly detecting absence feature given site (.e. specificity survey methodology). column numeric values zero one. missing (NA) values permitted column. feature_model_sensitivity_column character name column argument feature_data contains probability initial models correctly predicting presence feature given site (.e. sensitivity models). column numeric values zero one. missing (NA) values permitted column. ideally calculated using fit_xgb_occupancy_models() fit_hglm_occupancy_models(). feature_model_specificity_column character name column argument feature_data contains probability initial models correctly predicting absence feature given site (.e. specificity models). column numeric values zero one. missing (NA) values permitted column. ideally calculated using fit_xgb_occupancy_models() fit_hglm_occupancy_models(). feature_target_column character name column argument feature_data contains \\(target\\) values used parametrize conservation benefit managing feature. column numeric values equal greater zero. missing (NA) values permitted column. total_budget numeric maximum expenditure permitted conducting surveys managing sites conservation. site_management_locked_in_column character name column argument site_data contains logical (TRUE / FALSE) values indicating sites locked (TRUE) managed conservation (FALSE) . missing (NA) values permitted column. useful sites already earmarked conservation, sites already managed conservation. Defaults NULL sites locked . site_management_locked_out_column character name column argument site_data contains logical (TRUE / FALSE) values indicating sites locked (TRUE) managed conservation (FALSE) . missing (NA) values permitted column. useful sites potentially surveyed improve model predictions even managed conservation. Defaults NULL sites locked . prior_matrix numeric matrix containing prior probability feature occupying site. Rows correspond features, columns correspond sites. Defaults NULL prior data calculated automatically using prior_probability_matrix().","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/evdci.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Expected value of the decision given current information — evdci","text":"numeric value.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/evdci.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Expected value of the decision given current information — evdci","text":"function calculates expected value use approximation methods. , function can applied small problems.","code":""},{"path":[]},{"path":"https://github.com/prioritizr/surveyvoi/reference/evdci.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Expected value of the decision given current information — evdci","text":"","code":"# set seeds for reproducibility set.seed(123) # load example site data data(sim_sites) print(sim_sites) #> Simple feature collection with 6 features and 13 fields #> Geometry type: POINT #> Dimension: XY #> Bounding box: xmin: 0.02541313 ymin: 0.07851093 xmax: 0.9888107 ymax: 0.717068 #> CRS: NA #> # A tibble: 6 × 14 #> survey_cost management_cost f1 f2 f3 n1 n2 n3 e1 e2 #> #> 1 19 99 0 0 0 0 0 0 1.13 0.535 #> 2 22 87 0 1 0.25 4 4 4 -1.37 -1.45 #> 3 13 94 1 1 0 1 1 1 0.155 -0.867 #> 4 19 61 0 0 0 0 0 0 -0.792 1.32 #> 5 9 105 0 0 0 0 0 0 -0.194 0.238 #> 6 12 136 0 0 0 0 0 0 1.07 0.220 #> # ℹ 4 more variables: p1 , p2 , p3 , geometry # load example feature data data(sim_features) print(sim_features) #> # A tibble: 3 × 7 #> name survey survey_sensitivity survey_specificity model_sensitivity #> #> 1 f1 TRUE 0.951 0.854 0.711 #> 2 f2 TRUE 0.990 0.832 0.722 #> 3 f3 TRUE 0.986 0.808 0.772 #> # ℹ 2 more variables: model_specificity , target # set total budget for managing sites for conservation # (i.e. 50% of the cost of managing all sites) total_budget <- sum(sim_sites$management_cost) * 0.5 # calculate expected value of management decision given current information # using exact method ev_current <- evdci( sim_sites, sim_features, c(\"f1\", \"f2\", \"f3\"), c(\"n1\", \"n2\", \"n3\"), c(\"p1\", \"p2\", \"p3\"), \"management_cost\", \"survey_sensitivity\", \"survey_specificity\", \"model_sensitivity\", \"model_specificity\", \"target\", total_budget) # print exact value print(ev_current) #> [1] 1.7165"},{"path":"https://github.com/prioritizr/surveyvoi/reference/evdsi.html","id":null,"dir":"Reference","previous_headings":"","what":"Expected value of the decision given survey information — evdsi","title":"Expected value of the decision given survey information — evdsi","text":"Calculate expected value management decision given survey information. metric describes value management decision expected decision maker surveys set sites help inform decision.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/evdsi.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Expected value of the decision given survey information — evdsi","text":"","code":"evdsi( site_data, feature_data, site_detection_columns, site_n_surveys_columns, site_probability_columns, site_management_cost_column, site_survey_scheme_column, site_survey_cost_column, feature_survey_column, feature_survey_sensitivity_column, feature_survey_specificity_column, feature_model_sensitivity_column, feature_model_specificity_column, feature_target_column, total_budget, site_management_locked_in_column = NULL, site_management_locked_out_column = NULL, prior_matrix = NULL )"},{"path":"https://github.com/prioritizr/surveyvoi/reference/evdsi.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Expected value of the decision given survey information — evdsi","text":"site_data sf::sf() object site data. feature_data base::data.frame() object feature data. site_detection_columns character names numeric columns argument site_data contain proportion surveys conducted within site detected feature. column correspond different feature, contain proportion value (zero one). site previously surveyed, value zero used. site_n_surveys_columns character names numeric columns argument site_data contain total number surveys conducted feature within site. column correspond different feature, contain non-negative integer number (e.g. 0, 1, 2, 3). site previously surveyed, value zero used. site_probability_columns character names numeric columns argument site_data contain modeled probabilities occupancy feature site. column correspond different feature, contain probability data (values zero one). missing (NA) values permitted columns. site_management_cost_column character name column argument site_data contains costs managing site conservation. column numeric values equal greater zero. missing (NA) values permitted column. site_survey_scheme_column character name logical (TRUE / FALSE) column argument site_data indicates sites selected scheme . missing NA values permitted. Additionally, sites missing data can selected surveying (per argument site_detection_columns). site_survey_cost_column character name column argument site_data contains costs surveying site. column numeric values equal greater zero. missing (NA) values permitted column. feature_survey_column character name column argument feature_data contains logical (TRUE / FALSE) values indicating feature surveyed planned surveys . Note considering additional features rapidly increase computational burden, recommended consider features specific conservation interest. missing (NA) values permitted column. feature_survey_sensitivity_column character name column argument feature_data contains probability future surveys correctly detecting presence feature given site (.e. sensitivity survey methodology). column numeric values zero one. missing (NA) values permitted column. feature_survey_specificity_column character name column argument feature_data contains probability future surveys correctly detecting absence feature given site (.e. specificity survey methodology). column numeric values zero one. missing (NA) values permitted column. feature_model_sensitivity_column character name column argument feature_data contains probability initial models correctly predicting presence feature given site (.e. sensitivity models). column numeric values zero one. missing (NA) values permitted column. ideally calculated using fit_xgb_occupancy_models() fit_hglm_occupancy_models(). feature_model_specificity_column character name column argument feature_data contains probability initial models correctly predicting absence feature given site (.e. specificity models). column numeric values zero one. missing (NA) values permitted column. ideally calculated using fit_xgb_occupancy_models() fit_hglm_occupancy_models(). feature_target_column character name column argument feature_data contains \\(target\\) values used parametrize conservation benefit managing feature. column numeric values equal greater zero. missing (NA) values permitted column. total_budget numeric maximum expenditure permitted conducting surveys managing sites conservation. site_management_locked_in_column character name column argument site_data contains logical (TRUE / FALSE) values indicating sites locked (TRUE) managed conservation (FALSE) . missing (NA) values permitted column. useful sites already earmarked conservation, sites already managed conservation. Defaults NULL sites locked . site_management_locked_out_column character name column argument site_data contains logical (TRUE / FALSE) values indicating sites locked (TRUE) managed conservation (FALSE) . missing (NA) values permitted column. useful sites potentially surveyed improve model predictions even managed conservation. Defaults NULL sites locked . prior_matrix numeric matrix containing prior probability feature occupying site. Rows correspond features, columns correspond sites. Defaults NULL prior data calculated automatically using prior_probability_matrix().","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/evdsi.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Expected value of the decision given survey information — evdsi","text":"numeric value.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/evdsi.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Expected value of the decision given survey information — evdsi","text":"function calculates expected value use approximation methods. , function can applied small problems.","code":""},{"path":[]},{"path":"https://github.com/prioritizr/surveyvoi/reference/evdsi.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Expected value of the decision given survey information — evdsi","text":"","code":"# set seeds for reproducibility set.seed(123) # load example site data data(sim_sites) print(sim_sites) #> Simple feature collection with 6 features and 13 fields #> Geometry type: POINT #> Dimension: XY #> Bounding box: xmin: 0.02541313 ymin: 0.07851093 xmax: 0.9888107 ymax: 0.717068 #> CRS: NA #> # A tibble: 6 × 14 #> survey_cost management_cost f1 f2 f3 n1 n2 n3 e1 e2 #> #> 1 19 99 0 0 0 0 0 0 1.13 0.535 #> 2 22 87 0 1 0.25 4 4 4 -1.37 -1.45 #> 3 13 94 1 1 0 1 1 1 0.155 -0.867 #> 4 19 61 0 0 0 0 0 0 -0.792 1.32 #> 5 9 105 0 0 0 0 0 0 -0.194 0.238 #> 6 12 136 0 0 0 0 0 0 1.07 0.220 #> # ℹ 4 more variables: p1 , p2 , p3 , geometry # load example feature data data(sim_features) print(sim_features) #> # A tibble: 3 × 7 #> name survey survey_sensitivity survey_specificity model_sensitivity #> #> 1 f1 TRUE 0.951 0.854 0.711 #> 2 f2 TRUE 0.990 0.832 0.722 #> 3 f3 TRUE 0.986 0.808 0.772 #> # ℹ 2 more variables: model_specificity , target # set total budget for managing sites for conservation # (i.e. 50% of the cost of managing all sites) total_budget <- sum(sim_sites$management_cost) * 0.5 # create a survey scheme that samples the first two sites that # are missing data sim_sites$survey_site <- FALSE sim_sites$survey_site[which(sim_sites$n1 < 0.5)[1:2]] <- TRUE # calculate expected value of management decision given the survey # information using exact method ev_survey <- evdsi( sim_sites, sim_features, c(\"f1\", \"f2\", \"f3\"), c(\"n1\", \"n2\", \"n3\"), c(\"p1\", \"p2\", \"p3\"), \"management_cost\", \"survey_site\", \"survey_cost\", \"survey\", \"survey_sensitivity\", \"survey_specificity\", \"model_sensitivity\", \"model_specificity\", \"target\", total_budget) # print value print(ev_survey) #> [1] 1.224692"},{"path":"https://github.com/prioritizr/surveyvoi/reference/feasible_survey_schemes.html","id":null,"dir":"Reference","previous_headings":"","what":"Find all feasible survey schemes — feasible_survey_schemes","title":"Find all feasible survey schemes — feasible_survey_schemes","text":"Generate matrix representing possible different survey schemes given survey costs fixed budget.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/feasible_survey_schemes.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Find all feasible survey schemes — feasible_survey_schemes","text":"","code":"feasible_survey_schemes( site_data, cost_column, survey_budget, locked_in_column = NULL, locked_out_column = NULL, verbose = FALSE )"},{"path":"https://github.com/prioritizr/surveyvoi/reference/feasible_survey_schemes.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Find all feasible survey schemes — feasible_survey_schemes","text":"site_data sf::sf() object containing candidate survey sites. cost_column character name column argument argument site_data contains cost surveying site. missing (NA) values permitted. survey_budget numeric maximum possible expenditure permitted conducting surveys. locked_in_column character (optional) name column argument site_data contains logical (TRUE/ FALSE) values indicating certain sites locked survey scheme. missing (NA) values permitted. Defaults NULL sites locked . locked_out_column character (optional) name column argument site_data contains logical (TRUE/ FALSE) values indicating certain sites locked survey scheme. missing (NA) values permitted. Defaults NULL sites locked . verbose logical indicating information printed searching feasible schemes. Defaults FALSE.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/feasible_survey_schemes.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Find all feasible survey schemes — feasible_survey_schemes","text":"matrix row corresponds different survey scheme, column corresponds different planning unit. Cell values logical (TRUE / FALSE) indicating given site selected given survey scheme.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/feasible_survey_schemes.html","id":"dependencies","dir":"Reference","previous_headings":"","what":"Dependencies","title":"Find all feasible survey schemes — feasible_survey_schemes","text":"Please note function requires Gurobi optimization software (https://www.gurobi.com/) gurobi R package different sites different survey costs. Installation instruction available online Linux, Windows, Mac OS (see https://support.gurobi.com/hc/en-us/articles/4534161999889----install-Gurobi-Optimizer).","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/feasible_survey_schemes.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Find all feasible survey schemes — feasible_survey_schemes","text":"","code":"# \\dontrun{ # set seed for reproducibility set.seed(123) # simulate data x <- sf::st_as_sf(tibble::tibble(x = rnorm(4), y = rnorm(4), cost = c(100, 200, 0.2, 1)), coords = c(\"x\", \"y\")) # print data print(x) #> Simple feature collection with 4 features and 1 field #> Geometry type: POINT #> Dimension: XY #> Bounding box: xmin: -0.5604756 ymin: -1.265061 xmax: 1.558708 ymax: 1.715065 #> CRS: NA #> # A tibble: 4 × 2 #> cost geometry #> #> 1 100 (-0.5604756 0.1292877) #> 2 200 (-0.2301775 1.715065) #> 3 0.2 (1.558708 0.4609162) #> 4 1 (0.07050839 -1.265061) # plot site locations plot(st_geometry(x), pch = 16, cex = 3) # generate all feasible schemes given a budget of 4 s <- feasible_survey_schemes(x, \"cost\", survey_budget = 4) # print schemes print(s) #> [,1] [,2] [,3] [,4] #> [1,] FALSE FALSE FALSE FALSE #> [2,] FALSE FALSE TRUE FALSE #> [3,] FALSE FALSE FALSE TRUE #> [4,] FALSE FALSE TRUE TRUE # plot first scheme x$scheme_1 <- s[1, ] plot(x[, \"scheme_1\"], pch = 16, cex = 3) # }"},{"path":"https://github.com/prioritizr/surveyvoi/reference/fit_hglm_occupancy_models.html","id":null,"dir":"Reference","previous_headings":"","what":"Fit hierarchical generalized linear models to predict occupancy — fit_hglm_occupancy_models","title":"Fit hierarchical generalized linear models to predict occupancy — fit_hglm_occupancy_models","text":"Estimate probability occupancy set features set planning units. Models fitted hierarchical generalized linear models account imperfect detection (following Royle & Link 2006) using JAGS (via runjags::run.jags()). limit -fitting, covariate coefficients sampled using Laplace prior distribution (equivalent L1 regularization used machine learning contexts) (Park & Casella 2008).","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/fit_hglm_occupancy_models.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Fit hierarchical generalized linear models to predict occupancy — fit_hglm_occupancy_models","text":"","code":"fit_hglm_occupancy_models( site_data, feature_data, site_detection_columns, site_n_surveys_columns, site_env_vars_columns, feature_survey_sensitivity_column, feature_survey_specificity_column, jags_n_samples = rep(10000, length(site_detection_columns)), jags_n_burnin = rep(1000, length(site_detection_columns)), jags_n_thin = rep(100, length(site_detection_columns)), jags_n_adapt = rep(1000, length(site_detection_columns)), jags_n_chains = rep(4, length(site_detection_columns)), n_folds = rep(5, length(site_detection_columns)), n_threads = 1, seed = 500, verbose = FALSE )"},{"path":"https://github.com/prioritizr/surveyvoi/reference/fit_hglm_occupancy_models.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Fit hierarchical generalized linear models to predict occupancy — fit_hglm_occupancy_models","text":"site_data sf::sf() object site data. feature_data base::data.frame() object feature data. site_detection_columns character names numeric columns argument site_data contain proportion surveys conducted within site detected feature. column correspond different feature, contain proportion value (zero one). site previously surveyed, value zero used. site_n_surveys_columns character names numeric columns argument site_data contain total number surveys conducted feature within site. column correspond different feature, contain non-negative integer number (e.g. 0, 1, 2, 3). site previously surveyed, value zero used. site_env_vars_columns character names columns argument site_data contain environmental information fitting updated occupancy models based possible survey outcomes. column correspond different environmental variable, contain numeric, factor, character data. missing (NA) values permitted columns. feature_survey_sensitivity_column character name column argument feature_data contains probability future surveys correctly detecting presence feature given site (.e. sensitivity survey methodology). column numeric values zero one. missing (NA) values permitted column. feature_survey_specificity_column character name column argument feature_data contains probability future surveys correctly detecting absence feature given site (.e. specificity survey methodology). column numeric values zero one. missing (NA) values permitted column. jags_n_samples integer number sample generate per chain MCMC analyses. See documentation sample parameter runjags::run.jags() information). Defaults 10,000 feature. jags_n_burnin integer number warm iterations MCMC analyses. See documentation burnin parameter runjags::run.jags() information). Defaults 10,000 feature. jags_n_thin integer number thinning iterations MCMC analyses. See documentation thin parameter runjags::run.jags() information). Defaults 100 feature. jags_n_adapt integer number adapting iterations MCMC analyses. See documentation adapt parameter runjags::run.jags() information). Defaults 1,000 feature. jags_n_chains integer total number chains MCMC analyses. See documentation n.chains parameter runjags::run.jags() information). Defaults 4 fold feature. n_folds numeric number folds split training data fitting models feature. Defaults 5 feature. n_threads integer number threads use parameter tuning. Defaults 1. seed integer initial random number generator state model fitting. Defaults 500. verbose logical indicating information printed computations. Defaults FALSE.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/fit_hglm_occupancy_models.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Fit hierarchical generalized linear models to predict occupancy — fit_hglm_occupancy_models","text":"list object containing: models list list objects containing models. predictions tibble::tibble() object containing predictions feature. performance tibble::tibble() object containing performance best models feature. contains following columns: feature name feature. max_mpsrf maximum multi-variate potential scale reduction factor (MPSRF) value models. MPSRF value less 1.05 means coefficients given model converged, value less 1.05 column means models fit given feature successfully converged. train_tss_mean mean TSS statistic models calculated using training data cross-validation. train_tss_std standard deviation TSS statistics models calculated using training data cross-validation. train_sensitivity_mean mean sensitivity statistic models calculated using training data cross-validation. train_sensitivity_std standard deviation sensitivity statistics models calculated using training data cross-validation. train_specificity_mean mean specificity statistic models calculated using training data cross-validation. train_specificity_std standard deviation specificity statistics models calculated using training data cross-validation. test_tss_mean mean TSS statistic models calculated using test data cross-validation. test_tss_std standard deviation TSS statistics models calculated using test data cross-validation. test_sensitivity_mean mean sensitivity statistic models calculated using test data cross-validation. test_sensitivity_std standard deviation sensitivity statistics models calculated using test data cross-validation. test_specificity_mean mean specificity statistic models calculated using test data cross-validation. test_specificity_std standard deviation specificity statistics models calculated using test data cross-validation.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/fit_hglm_occupancy_models.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Fit hierarchical generalized linear models to predict occupancy — fit_hglm_occupancy_models","text":"function () prepares data model fitting, (ii) fits models, (iii) assesses performance models. analyses performed separately feature. given feature: data prepared model fitting partitioning data using k-fold cross-validation (set via argument n_folds). training evaluation folds constructed manner ensure training evaluation fold contains least one presence one absence observation. model fit separately fold (see inst/jags/model.jags model code). assess convergence, multi-variate potential scale reduction factor (MPSRF) statistic calculated model. performance cross-validation models evaluated. Specifically, TSS, sensitivity, specificity statistics calculated (relevant, weighted argument site_weights_data). performance values calculated using models' training evaluation folds. assess convergence, maximum MPSRF statistic models fit feature calculated.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/fit_hglm_occupancy_models.html","id":"dependencies","dir":"Reference","previous_headings":"","what":"Dependencies","title":"Fit hierarchical generalized linear models to predict occupancy — fit_hglm_occupancy_models","text":"function requires JAGS software installed. information installing JAGS software, please consult documentation rjags package.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/fit_hglm_occupancy_models.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Fit hierarchical generalized linear models to predict occupancy — fit_hglm_occupancy_models","text":"Park T & Casella G (2008) Bayesian lasso. Journal American Statistical Association, 103: 681–686. Royle JA & Link WA (2006) Generalized site occupancy models allowing false positive false negative errors. Ecology, 87: 835–841.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/fit_hglm_occupancy_models.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Fit hierarchical generalized linear models to predict occupancy — fit_hglm_occupancy_models","text":"","code":"# \\dontrun{ # set seeds for reproducibility set.seed(123) # simulate data for 200 sites, 2 features, and 3 environmental variables site_data <- simulate_site_data(n_sites = 30, n_features = 2, prop = 0.1) feature_data <- simulate_feature_data(n_features = 2, prop = 1) # print JAGS model code cat(readLines(system.file(\"jags\", \"model.jags\", package = \"surveyvoi\")), sep = \"\\n\") #> model { #> # data #> ## int n_vars #> ## int train_n_sites #> ## real sens #> ## real spec #> ## real[train_n_sites, n_vars] train_model_matrix #> ## real[train_n_sites] train_n_obs #> ## matrix[train_n_sites, max(train_n_obs)] train_obs #> #> # priors #> lambda ~ dunif(0.001, 10) # regularization parameter #> coefs[1] ~ dnorm(0, 0.001) # intercept parameter #> for (i in 2:n_vars) { #> coefs[i] ~ ddexp(0, lambda) # covariate parameters #> } #> #> # transformed parameters #> for (i in 1:train_n_sites) { #> logit(yhat[i]) <- coefs %*% train_model_matrix[i, ] #> } #> #> # likelihood #> for (i in 1:train_n_sites) { #> occ[i] ~ dbern(yhat[i]) #> for (j in 1:train_n_obs[i]) { #> train_obs[i, j] ~ dbern((occ[i] * sens) + ((1 - occ[i]) * spec)) #> } #> } #> } # fit models # note that we use a small number of MCMC iterations so that the example # finishes quickly, you probably want to use the defaults for real work results <- fit_hglm_occupancy_models( site_data, feature_data, c(\"f1\", \"f2\"), c(\"n1\", \"n2\"), c(\"e1\", \"e2\", \"e3\"), \"survey_sensitivity\", \"survey_specificity\", n_folds = rep(5, 2), jags_n_samples = rep(250, 2), jags_n_burnin = rep(250, 2), jags_n_thin = rep(1, 2), jags_n_adapt = rep(100, 2), n_threads = 1) #> | | | 0%Calling the simulation... #> Welcome to JAGS 4.3.0 on Mon Sep 23 16:19:42 2024 #> JAGS is free software and comes with ABSOLUTELY NO WARRANTY #> Loading module: basemod: ok #> Loading module: bugs: ok #> . . Reading data file data.txt #> . Compiling model graph #> Resolving undeclared variables #> Allocating nodes #> Graph information: #> Observed stochastic nodes: 74 #> Unobserved stochastic nodes: 26 #> Total graph size: 387 #> . Reading parameter file inits1.txt #> . Initializing model #> . Adapting 100 #> -------------------------------------------------| 100 #> ++++++++++++++++++++++++++++++++++++++++++++++++++ 100% #> Adaptation successful #> . Updating 250 #> -------------------------------------------------| 250 #> ************************************************** 100% #> . . Updating 250 #> -------------------------------------------------| 250 #> ************************************************** 100% #> . . . . Updating 0 #> . Deleting model #> . #> Simulation complete. Reading coda files... #> Coda files loaded successfully #> Calculating summary statistics... #> Finished running the simulation #> | |== | 2%Calling the simulation... #> Welcome to JAGS 4.3.0 on Mon Sep 23 16:19:44 2024 #> JAGS is free software and comes with ABSOLUTELY NO WARRANTY #> Loading module: basemod: ok #> Loading module: bugs: ok #> . . Reading data file data.txt #> . Compiling model graph #> Resolving undeclared variables #> Allocating nodes #> Graph information: #> Observed stochastic nodes: 67 #> Unobserved stochastic nodes: 26 #> Total graph size: 387 #> . Reading parameter file inits1.txt #> . Initializing model #> . Adapting 100 #> -------------------------------------------------| 100 #> ++++++++++++++++++++++++++++++++++++++++++++++++++ 100% #> Adaptation successful #> . Updating 250 #> -------------------------------------------------| 250 #> ************************************************** 100% #> . . Updating 250 #> -------------------------------------------------| 250 #> ************************************************** 100% #> . . . . Updating 0 #> . Deleting model #> . #> Simulation complete. Reading coda files... #> Coda files loaded successfully #> Calculating summary statistics... #> Finished running the simulation #> | |==== | 5%Calling the simulation... #> Welcome to JAGS 4.3.0 on Mon Sep 23 16:19:47 2024 #> JAGS is free software and comes with ABSOLUTELY NO WARRANTY #> Loading module: basemod: ok #> Loading module: bugs: ok #> . . Reading data file data.txt #> . Compiling model graph #> Resolving undeclared variables #> Allocating nodes #> Graph information: #> Observed stochastic nodes: 66 #> Unobserved stochastic nodes: 26 #> Total graph size: 387 #> . Reading parameter file inits1.txt #> . Initializing model #> . Adapting 100 #> -------------------------------------------------| 100 #> ++++++++++++++++++++++++++++++++++++++++++++++++++ 100% #> Adaptation successful #> . Updating 250 #> -------------------------------------------------| 250 #> ************************************************** 100% #> . . Updating 250 #> -------------------------------------------------| 250 #> ************************************************** 100% #> . . . . Updating 0 #> . Deleting model #> . #> Simulation complete. Reading coda files... #> Coda files loaded successfully #> Calculating summary statistics... #> Finished running the simulation #> | |===== | 8%Calling the simulation... #> Welcome to JAGS 4.3.0 on Mon Sep 23 16:19:48 2024 #> JAGS is free software and comes with ABSOLUTELY NO WARRANTY #> Loading module: basemod: ok #> Loading module: bugs: ok #> . . Reading data file data.txt #> . Compiling model graph #> Resolving undeclared variables #> Allocating nodes #> Graph information: #> Observed stochastic nodes: 70 #> Unobserved stochastic nodes: 26 #> Total graph size: 387 #> . Reading parameter file inits1.txt #> . Initializing model #> . Adapting 100 #> -------------------------------------------------| 100 #> ++++++++++++++++++++++++++++++++++++++++++++++++++ 100% #> Adaptation successful #> . Updating 250 #> -------------------------------------------------| 250 #> ************************************************** 100% #> . . Updating 250 #> -------------------------------------------------| 250 #> ************************************************** 100% #> . . . . Updating 0 #> . Deleting model #> . #> Simulation complete. Reading coda files... #> Coda files loaded successfully #> Calculating summary statistics... #> Finished running the simulation #> | |======= | 10%Calling the simulation... #> Welcome to JAGS 4.3.0 on Mon Sep 23 16:19:50 2024 #> JAGS is free software and comes with ABSOLUTELY NO WARRANTY #> Loading module: basemod: ok #> Loading module: bugs: ok #> . . Reading data file data.txt #> . Compiling model graph #> Resolving undeclared variables #> Allocating nodes #> Graph information: #> Observed stochastic nodes: 63 #> Unobserved stochastic nodes: 24 #> Total graph size: 353 #> . Reading parameter file inits1.txt #> . Initializing model #> . Adapting 100 #> -------------------------------------------------| 100 #> ++++++++++++++++++++++++++++++++++++++++++++++++++ 100% #> Adaptation successful #> . Updating 250 #> -------------------------------------------------| 250 #> ************************************************** 100% #> . . Updating 250 #> -------------------------------------------------| 250 #> ************************************************** 100% #> . . . . Updating 0 #> . Deleting model #> . #> Simulation complete. Reading coda files... #> Coda files loaded successfully #> Calculating summary statistics... #> Finished running the simulation #> | |========= | 12%Calling the simulation... #> Welcome to JAGS 4.3.0 on Mon Sep 23 16:19:52 2024 #> JAGS is free software and comes with ABSOLUTELY NO WARRANTY #> Loading module: basemod: ok #> Loading module: bugs: ok #> . . Reading data file data.txt #> . Compiling model graph #> Resolving undeclared variables #> Allocating nodes #> Graph information: #> Observed stochastic nodes: 74 #> Unobserved stochastic nodes: 26 #> Total graph size: 387 #> . Reading parameter file inits1.txt #> . Initializing model #> . Adapting 100 #> -------------------------------------------------| 100 #> ++++++++++++++++++++++++++++++++++++++++++++++++++ 100% #> Adaptation successful #> . Updating 250 #> -------------------------------------------------| 250 #> ************************************************** 100% #> . . Updating 250 #> -------------------------------------------------| 250 #> ************************************************** 100% #> . . . . Updating 0 #> . Deleting model #> . #> Simulation complete. Reading coda files... #> Coda files loaded successfully #> Calculating summary statistics... #> Finished running the simulation #> | |========== | 15%Calling the simulation... #> Welcome to JAGS 4.3.0 on Mon Sep 23 16:19:54 2024 #> JAGS is free software and comes with ABSOLUTELY NO WARRANTY #> Loading module: basemod: ok #> Loading module: bugs: ok #> . . Reading data file data.txt #> . Compiling model graph #> Resolving undeclared variables #> Allocating nodes #> Graph information: #> Observed stochastic nodes: 67 #> Unobserved stochastic nodes: 26 #> Total graph size: 387 #> . Reading parameter file inits1.txt #> . Initializing model #> . Adapting 100 #> -------------------------------------------------| 100 #> ++++++++++++++++++++++++++++++++++++++++++++++++++ 100% #> Adaptation successful #> . Updating 250 #> -------------------------------------------------| 250 #> ************************************************** 100% #> . . Updating 250 #> -------------------------------------------------| 250 #> ************************************************** 100% #> . . . . Updating 0 #> . Deleting model #> . #> Simulation complete. Reading coda files... #> Coda files loaded successfully #> Calculating summary statistics... #> Finished running the simulation #> | |============ | 18%Calling the simulation... #> Welcome to JAGS 4.3.0 on Mon Sep 23 16:19:56 2024 #> JAGS is free software and comes with ABSOLUTELY NO WARRANTY #> Loading module: basemod: ok #> Loading module: bugs: ok #> . . Reading data file data.txt #> . Compiling model graph #> Resolving undeclared variables #> Allocating nodes #> Graph information: #> Observed stochastic nodes: 66 #> Unobserved stochastic nodes: 26 #> Total graph size: 387 #> . Reading parameter file inits1.txt #> . Initializing model #> . Adapting 100 #> -------------------------------------------------| 100 #> ++++++++++++++++++++++++++++++++++++++++++++++++++ 100% #> Adaptation successful #> . Updating 250 #> -------------------------------------------------| 250 #> ************************************************** 100% #> . . Updating 250 #> -------------------------------------------------| 250 #> ************************************************** 100% #> . . . . Updating 0 #> . Deleting model #> . #> Simulation complete. Reading coda files... #> Coda files loaded successfully #> Calculating summary statistics... #> Finished running the simulation #> | |============== | 20%Calling the simulation... #> Welcome to JAGS 4.3.0 on Mon Sep 23 16:19:58 2024 #> JAGS is free software and comes with ABSOLUTELY NO WARRANTY #> Loading module: basemod: ok #> Loading module: bugs: ok #> . . Reading data file data.txt #> . Compiling model graph #> Resolving undeclared variables #> Allocating nodes #> Graph information: #> Observed stochastic nodes: 70 #> Unobserved stochastic nodes: 26 #> Total graph size: 387 #> . Reading parameter file inits1.txt #> . Initializing model #> . Adapting 100 #> -------------------------------------------------| 100 #> ++++++++++++++++++++++++++++++++++++++++++++++++++ 100% #> Adaptation successful #> . Updating 250 #> -------------------------------------------------| 250 #> ************************************************** 100% #> . . Updating 250 #> -------------------------------------------------| 250 #> ************************************************** 100% #> . . . . Updating 0 #> . Deleting model #> . #> Simulation complete. Reading coda files... #> Coda files loaded successfully #> Calculating summary statistics... #> Finished running the simulation #> | |================ | 22%Calling the simulation... #> Welcome to JAGS 4.3.0 on Mon Sep 23 16:20:00 2024 #> JAGS is free software and comes with ABSOLUTELY NO WARRANTY #> Loading module: basemod: ok #> Loading module: bugs: ok #> . . Reading data file data.txt #> . Compiling model graph #> Resolving undeclared variables #> Allocating nodes #> Graph information: #> Observed stochastic nodes: 63 #> Unobserved stochastic nodes: 24 #> Total graph size: 353 #> . Reading parameter file inits1.txt #> . Initializing model #> . Adapting 100 #> -------------------------------------------------| 100 #> ++++++++++++++++++++++++++++++++++++++++++++++++++ 100% #> Adaptation successful #> . Updating 250 #> -------------------------------------------------| 250 #> ************************************************** 100% #> . . Updating 250 #> -------------------------------------------------| 250 #> ************************************************** 100% #> . . . . Updating 0 #> . Deleting model #> . #> Simulation complete. Reading coda files... #> Coda files loaded successfully #> Calculating summary statistics... #> Finished running the simulation #> | |================== | 25%Calling the simulation... #> Welcome to JAGS 4.3.0 on Mon Sep 23 16:20:02 2024 #> JAGS is free software and comes with ABSOLUTELY NO WARRANTY #> Loading module: basemod: ok #> Loading module: bugs: ok #> . . Reading data file data.txt #> . Compiling model graph #> Resolving undeclared variables #> Allocating nodes #> Graph information: #> Observed stochastic nodes: 74 #> Unobserved stochastic nodes: 26 #> Total graph size: 387 #> . Reading parameter file inits1.txt #> . Initializing model #> . Adapting 100 #> -------------------------------------------------| 100 #> ++++++++++++++++++++++++++++++++++++++++++++++++++ 100% #> Adaptation successful #> . Updating 250 #> -------------------------------------------------| 250 #> ************************************************** 100% #> . . Updating 250 #> -------------------------------------------------| 250 #> ************************************************** 100% #> . . . . Updating 0 #> . Deleting model #> . #> Simulation complete. Reading coda files... #> Coda files loaded successfully #> Calculating summary statistics... #> Finished running the simulation #> | |=================== | 28%Calling the simulation... #> Welcome to JAGS 4.3.0 on Mon Sep 23 16:20:03 2024 #> JAGS is free software and comes with ABSOLUTELY NO WARRANTY #> Loading module: basemod: ok #> Loading module: bugs: ok #> . . Reading data file data.txt #> . Compiling model graph #> Resolving undeclared variables #> Allocating nodes #> Graph information: #> Observed stochastic nodes: 67 #> Unobserved stochastic nodes: 26 #> Total graph size: 387 #> . Reading parameter file inits1.txt #> . Initializing model #> . Adapting 100 #> -------------------------------------------------| 100 #> ++++++++++++++++++++++++++++++++++++++++++++++++++ 100% #> Adaptation successful #> . Updating 250 #> -------------------------------------------------| 250 #> ************************************************** 100% #> . . Updating 250 #> -------------------------------------------------| 250 #> ************************************************** 100% #> . . . . Updating 0 #> . Deleting model #> . #> Simulation complete. Reading coda files... #> Coda files loaded successfully #> Calculating summary statistics... #> Finished running the simulation #> | |===================== | 30%Calling the simulation... #> Welcome to JAGS 4.3.0 on Mon Sep 23 16:20:05 2024 #> JAGS is free software and comes with ABSOLUTELY NO WARRANTY #> Loading module: basemod: ok #> Loading module: bugs: ok #> . . Reading data file data.txt #> . Compiling model graph #> Resolving undeclared variables #> Allocating nodes #> Graph information: #> Observed stochastic nodes: 66 #> Unobserved stochastic nodes: 26 #> Total graph size: 387 #> . Reading parameter file inits1.txt #> . Initializing model #> . Adapting 100 #> -------------------------------------------------| 100 #> ++++++++++++++++++++++++++++++++++++++++++++++++++ 100% #> Adaptation successful #> . Updating 250 #> -------------------------------------------------| 250 #> ************************************************** 100% #> . . Updating 250 #> -------------------------------------------------| 250 #> ************************************************** 100% #> . . . . Updating 0 #> . Deleting model #> . #> Simulation complete. Reading coda files... #> Coda files loaded successfully #> Calculating summary statistics... #> Finished running the simulation #> | |======================= | 32%Calling the simulation... #> Welcome to JAGS 4.3.0 on Mon Sep 23 16:20:07 2024 #> JAGS is free software and comes with ABSOLUTELY NO WARRANTY #> Loading module: basemod: ok #> Loading module: bugs: ok #> . . Reading data file data.txt #> . Compiling model graph #> Resolving undeclared variables #> Allocating nodes #> Graph information: #> Observed stochastic nodes: 70 #> Unobserved stochastic nodes: 26 #> Total graph size: 387 #> . Reading parameter file inits1.txt #> . Initializing model #> . Adapting 100 #> -------------------------------------------------| 100 #> ++++++++++++++++++++++++++++++++++++++++++++++++++ 100% #> Adaptation successful #> . Updating 250 #> -------------------------------------------------| 250 #> ************************************************** 100% #> . . Updating 250 #> -------------------------------------------------| 250 #> ************************************************** 100% #> . . . . Updating 0 #> . Deleting model #> . #> Simulation complete. Reading coda files... #> Coda files loaded successfully #> Calculating summary statistics... #> Finished running the simulation #> | |======================== | 35%Calling the simulation... #> Welcome to JAGS 4.3.0 on Mon Sep 23 16:20:09 2024 #> JAGS is free software and comes with ABSOLUTELY NO WARRANTY #> Loading module: basemod: ok #> Loading module: bugs: ok #> . . Reading data file data.txt #> . Compiling model graph #> Resolving undeclared variables #> Allocating nodes #> Graph information: #> Observed stochastic nodes: 63 #> Unobserved stochastic nodes: 24 #> Total graph size: 353 #> . Reading parameter file inits1.txt #> . Initializing model #> . Adapting 100 #> -------------------------------------------------| 100 #> ++++++++++++++++++++++++++++++++++++++++++++++++++ 100% #> Adaptation successful #> . Updating 250 #> -------------------------------------------------| 250 #> ************************************************** 100% #> . . Updating 250 #> -------------------------------------------------| 250 #> ************************************************** 100% #> . . . . Updating 0 #> . Deleting model #> . #> Simulation complete. Reading coda files... #> Coda files loaded successfully #> Calculating summary statistics... #> Finished running the simulation #> | |========================== | 38%Calling the simulation... #> Welcome to JAGS 4.3.0 on Mon Sep 23 16:20:11 2024 #> JAGS is free software and comes with ABSOLUTELY NO WARRANTY #> Loading module: basemod: ok #> Loading module: bugs: ok #> . . Reading data file data.txt #> . Compiling model graph #> Resolving undeclared variables #> Allocating nodes #> Graph information: #> Observed stochastic nodes: 74 #> Unobserved stochastic nodes: 26 #> Total graph size: 387 #> . Reading parameter file inits1.txt #> . Initializing model #> . Adapting 100 #> -------------------------------------------------| 100 #> ++++++++++++++++++++++++++++++++++++++++++++++++++ 100% #> Adaptation successful #> . Updating 250 #> -------------------------------------------------| 250 #> ************************************************** 100% #> . . Updating 250 #> -------------------------------------------------| 250 #> ************************************************** 100% #> . . . . Updating 0 #> . Deleting model #> . #> Simulation complete. Reading coda files... #> Coda files loaded successfully #> Calculating summary statistics... #> Finished running the simulation #> | |============================ | 40%Calling the simulation... #> Welcome to JAGS 4.3.0 on Mon Sep 23 16:20:13 2024 #> JAGS is free software and comes with ABSOLUTELY NO WARRANTY #> Loading module: basemod: ok #> Loading module: bugs: ok #> . . Reading data file data.txt #> . Compiling model graph #> Resolving undeclared variables #> Allocating nodes #> Graph information: #> Observed stochastic nodes: 67 #> Unobserved stochastic nodes: 26 #> Total graph size: 387 #> . Reading parameter file inits1.txt #> . Initializing model #> . Adapting 100 #> -------------------------------------------------| 100 #> ++++++++++++++++++++++++++++++++++++++++++++++++++ 100% #> Adaptation successful #> . Updating 250 #> -------------------------------------------------| 250 #> ************************************************** 100% #> . . Updating 250 #> -------------------------------------------------| 250 #> ************************************************** 100% #> . . . . Updating 0 #> . Deleting model #> . #> Simulation complete. Reading coda files... #> Coda files loaded successfully #> Calculating summary statistics... #> Finished running the simulation #> | |============================== | 42%Calling the simulation... #> Welcome to JAGS 4.3.0 on Mon Sep 23 16:20:14 2024 #> JAGS is free software and comes with ABSOLUTELY NO WARRANTY #> Loading module: basemod: ok #> Loading module: bugs: ok #> . . Reading data file data.txt #> . Compiling model graph #> Resolving undeclared variables #> Allocating nodes #> Graph information: #> Observed stochastic nodes: 66 #> Unobserved stochastic nodes: 26 #> Total graph size: 387 #> . Reading parameter file inits1.txt #> . Initializing model #> . Adapting 100 #> -------------------------------------------------| 100 #> ++++++++++++++++++++++++++++++++++++++++++++++++++ 100% #> Adaptation successful #> . Updating 250 #> -------------------------------------------------| 250 #> ************************************************** 100% #> . . Updating 250 #> -------------------------------------------------| 250 #> ************************************************** 100% #> . . . . Updating 0 #> . Deleting model #> . #> Simulation complete. Reading coda files... #> Coda files loaded successfully #> Calculating summary statistics... #> Finished running the simulation #> | |================================ | 45%Calling the simulation... #> Welcome to JAGS 4.3.0 on Mon Sep 23 16:20:16 2024 #> JAGS is free software and comes with ABSOLUTELY NO WARRANTY #> Loading module: basemod: ok #> Loading module: bugs: ok #> . . Reading data file data.txt #> . Compiling model graph #> Resolving undeclared variables #> Allocating nodes #> Graph information: #> Observed stochastic nodes: 70 #> Unobserved stochastic nodes: 26 #> Total graph size: 387 #> . Reading parameter file inits1.txt #> . Initializing model #> . Adapting 100 #> -------------------------------------------------| 100 #> ++++++++++++++++++++++++++++++++++++++++++++++++++ 100% #> Adaptation successful #> . Updating 250 #> -------------------------------------------------| 250 #> ************************************************** 100% #> . . Updating 250 #> -------------------------------------------------| 250 #> ************************************************** 100% #> . . . . Updating 0 #> . Deleting model #> . #> Simulation complete. Reading coda files... #> Coda files loaded successfully #> Calculating summary statistics... #> Finished running the simulation #> | |================================= | 48%Calling the simulation... #> Welcome to JAGS 4.3.0 on Mon Sep 23 16:20:18 2024 #> JAGS is free software and comes with ABSOLUTELY NO WARRANTY #> Loading module: basemod: ok #> Loading module: bugs: ok #> . . Reading data file data.txt #> . Compiling model graph #> Resolving undeclared variables #> Allocating nodes #> Graph information: #> Observed stochastic nodes: 63 #> Unobserved stochastic nodes: 24 #> Total graph size: 353 #> . Reading parameter file inits1.txt #> . Initializing model #> . Adapting 100 #> -------------------------------------------------| 100 #> ++++++++++++++++++++++++++++++++++++++++++++++++++ 100% #> Adaptation successful #> . Updating 250 #> -------------------------------------------------| 250 #> ************************************************** 100% #> . . Updating 250 #> -------------------------------------------------| 250 #> ************************************************** 100% #> . . . . Updating 0 #> . Deleting model #> . #> Simulation complete. Reading coda files... #> Coda files loaded successfully #> Calculating summary statistics... #> Finished running the simulation #> | |=================================== | 50%Calling the simulation... #> Welcome to JAGS 4.3.0 on Mon Sep 23 16:20:20 2024 #> JAGS is free software and comes with ABSOLUTELY NO WARRANTY #> Loading module: basemod: ok #> Loading module: bugs: ok #> . . Reading data file data.txt #> . Compiling model graph #> Resolving undeclared variables #> Allocating nodes #> Graph information: #> Observed stochastic nodes: 71 #> Unobserved stochastic nodes: 26 #> Total graph size: 387 #> . Reading parameter file inits1.txt #> . Initializing model #> . Adapting 100 #> -------------------------------------------------| 100 #> ++++++++++++++++++++++++++++++++++++++++++++++++++ 100% #> Adaptation successful #> . Updating 250 #> -------------------------------------------------| 250 #> ************************************************** 100% #> . . Updating 250 #> -------------------------------------------------| 250 #> ************************************************** 100% #> . . . . Updating 0 #> . Deleting model #> . #> Simulation complete. Reading coda files... #> Coda files loaded successfully #> Calculating summary statistics... #> Finished running the simulation #> | |===================================== | 52%Calling the simulation... #> Welcome to JAGS 4.3.0 on Mon Sep 23 16:20:22 2024 #> JAGS is free software and comes with ABSOLUTELY NO WARRANTY #> Loading module: basemod: ok #> Loading module: bugs: ok #> . . Reading data file data.txt #> . Compiling model graph #> Resolving undeclared variables #> Allocating nodes #> Graph information: #> Observed stochastic nodes: 70 #> Unobserved stochastic nodes: 26 #> Total graph size: 387 #> . Reading parameter file inits1.txt #> . Initializing model #> . Adapting 100 #> -------------------------------------------------| 100 #> ++++++++++++++++++++++++++++++++++++++++++++++++++ 100% #> Adaptation successful #> . Updating 250 #> -------------------------------------------------| 250 #> ************************************************** 100% #> . . Updating 250 #> -------------------------------------------------| 250 #> ************************************************** 100% #> . . . . Updating 0 #> . Deleting model #> . #> Simulation complete. Reading coda files... #> Coda files loaded successfully #> Calculating summary statistics... #> Finished running the simulation #> | |====================================== | 55%Calling the simulation... #> Welcome to JAGS 4.3.0 on Mon Sep 23 16:20:24 2024 #> JAGS is free software and comes with ABSOLUTELY NO WARRANTY #> Loading module: basemod: ok #> Loading module: bugs: ok #> . . Reading data file data.txt #> . Compiling model graph #> Resolving undeclared variables #> Allocating nodes #> Graph information: #> Observed stochastic nodes: 70 #> Unobserved stochastic nodes: 26 #> Total graph size: 387 #> . Reading parameter file inits1.txt #> . Initializing model #> . Adapting 100 #> -------------------------------------------------| 100 #> ++++++++++++++++++++++++++++++++++++++++++++++++++ 100% #> Adaptation successful #> . Updating 250 #> -------------------------------------------------| 250 #> ************************************************** 100% #> . . Updating 250 #> -------------------------------------------------| 250 #> ************************************************** 100% #> . . . . Updating 0 #> . Deleting model #> . #> Simulation complete. Reading coda files... #> Coda files loaded successfully #> Calculating summary statistics... #> Finished running the simulation #> | |======================================== | 58%Calling the simulation... #> Welcome to JAGS 4.3.0 on Mon Sep 23 16:20:26 2024 #> JAGS is free software and comes with ABSOLUTELY NO WARRANTY #> Loading module: basemod: ok #> Loading module: bugs: ok #> . . Reading data file data.txt #> . Compiling model graph #> Resolving undeclared variables #> Allocating nodes #> Graph information: #> Observed stochastic nodes: 68 #> Unobserved stochastic nodes: 26 #> Total graph size: 387 #> . Reading parameter file inits1.txt #> . Initializing model #> . Adapting 100 #> -------------------------------------------------| 100 #> ++++++++++++++++++++++++++++++++++++++++++++++++++ 100% #> Adaptation successful #> . Updating 250 #> -------------------------------------------------| 250 #> ************************************************** 100% #> . . Updating 250 #> -------------------------------------------------| 250 #> ************************************************** 100% #> . . . . Updating 0 #> . Deleting model #> . #> Simulation complete. Reading coda files... #> Coda files loaded successfully #> Calculating summary statistics... #> Finished running the simulation #> | |========================================== | 60%Calling the simulation... #> Welcome to JAGS 4.3.0 on Mon Sep 23 16:20:27 2024 #> JAGS is free software and comes with ABSOLUTELY NO WARRANTY #> Loading module: basemod: ok #> Loading module: bugs: ok #> . . Reading data file data.txt #> . Compiling model graph #> Resolving undeclared variables #> Allocating nodes #> Graph information: #> Observed stochastic nodes: 61 #> Unobserved stochastic nodes: 24 #> Total graph size: 353 #> . Reading parameter file inits1.txt #> . Initializing model #> . Adapting 100 #> -------------------------------------------------| 100 #> ++++++++++++++++++++++++++++++++++++++++++++++++++ 100% #> Adaptation successful #> . Updating 250 #> -------------------------------------------------| 250 #> ************************************************** 100% #> . . Updating 250 #> -------------------------------------------------| 250 #> ************************************************** 100% #> . . . . Updating 0 #> . Deleting model #> . #> Simulation complete. Reading coda files... #> Coda files loaded successfully #> Calculating summary statistics... #> Finished running the simulation #> | |============================================ | 62%Calling the simulation... #> Welcome to JAGS 4.3.0 on Mon Sep 23 16:20:29 2024 #> JAGS is free software and comes with ABSOLUTELY NO WARRANTY #> Loading module: basemod: ok #> Loading module: bugs: ok #> . . Reading data file data.txt #> . Compiling model graph #> Resolving undeclared variables #> Allocating nodes #> Graph information: #> Observed stochastic nodes: 71 #> Unobserved stochastic nodes: 26 #> Total graph size: 387 #> . Reading parameter file inits1.txt #> . Initializing model #> . Adapting 100 #> -------------------------------------------------| 100 #> ++++++++++++++++++++++++++++++++++++++++++++++++++ 100% #> Adaptation successful #> . Updating 250 #> -------------------------------------------------| 250 #> ************************************************** 100% #> . . Updating 250 #> -------------------------------------------------| 250 #> ************************************************** 100% #> . . . . Updating 0 #> . Deleting model #> . #> Simulation complete. Reading coda files... #> Coda files loaded successfully #> Calculating summary statistics... #> Finished running the simulation #> | |============================================== | 65%Calling the simulation... #> Welcome to JAGS 4.3.0 on Mon Sep 23 16:20:31 2024 #> JAGS is free software and comes with ABSOLUTELY NO WARRANTY #> Loading module: basemod: ok #> Loading module: bugs: ok #> . . Reading data file data.txt #> . Compiling model graph #> Resolving undeclared variables #> Allocating nodes #> Graph information: #> Observed stochastic nodes: 70 #> Unobserved stochastic nodes: 26 #> Total graph size: 387 #> . Reading parameter file inits1.txt #> . Initializing model #> . Adapting 100 #> -------------------------------------------------| 100 #> ++++++++++++++++++++++++++++++++++++++++++++++++++ 100% #> Adaptation successful #> . Updating 250 #> -------------------------------------------------| 250 #> ************************************************** 100% #> . . Updating 250 #> -------------------------------------------------| 250 #> ************************************************** 100% #> . . . . Updating 0 #> . Deleting model #> . #> Simulation complete. Reading coda files... #> Coda files loaded successfully #> Calculating summary statistics... #> Finished running the simulation #> | |=============================================== | 68%Calling the simulation... #> Welcome to JAGS 4.3.0 on Mon Sep 23 16:20:33 2024 #> JAGS is free software and comes with ABSOLUTELY NO WARRANTY #> Loading module: basemod: ok #> Loading module: bugs: ok #> . . Reading data file data.txt #> . Compiling model graph #> Resolving undeclared variables #> Allocating nodes #> Graph information: #> Observed stochastic nodes: 70 #> Unobserved stochastic nodes: 26 #> Total graph size: 387 #> . Reading parameter file inits1.txt #> . Initializing model #> . Adapting 100 #> -------------------------------------------------| 100 #> ++++++++++++++++++++++++++++++++++++++++++++++++++ 100% #> Adaptation successful #> . Updating 250 #> -------------------------------------------------| 250 #> ************************************************** 100% #> . . Updating 250 #> -------------------------------------------------| 250 #> ************************************************** 100% #> . . . . Updating 0 #> . Deleting model #> . #> Simulation complete. Reading coda files... #> Coda files loaded successfully #> Calculating summary statistics... #> Finished running the simulation #> | |================================================= | 70%Calling the simulation... #> Welcome to JAGS 4.3.0 on Mon Sep 23 16:20:35 2024 #> JAGS is free software and comes with ABSOLUTELY NO WARRANTY #> Loading module: basemod: ok #> Loading module: bugs: ok #> . . Reading data file data.txt #> . Compiling model graph #> Resolving undeclared variables #> Allocating nodes #> Graph information: #> Observed stochastic nodes: 68 #> Unobserved stochastic nodes: 26 #> Total graph size: 387 #> . Reading parameter file inits1.txt #> . Initializing model #> . Adapting 100 #> -------------------------------------------------| 100 #> ++++++++++++++++++++++++++++++++++++++++++++++++++ 100% #> Adaptation successful #> . Updating 250 #> -------------------------------------------------| 250 #> ************************************************** 100% #> . . Updating 250 #> -------------------------------------------------| 250 #> ************************************************** 100% #> . . . . Updating 0 #> . Deleting model #> . #> Simulation complete. Reading coda files... #> Coda files loaded successfully #> Calculating summary statistics... #> Finished running the simulation #> | |=================================================== | 72%Calling the simulation... #> Welcome to JAGS 4.3.0 on Mon Sep 23 16:20:37 2024 #> JAGS is free software and comes with ABSOLUTELY NO WARRANTY #> Loading module: basemod: ok #> Loading module: bugs: ok #> . . Reading data file data.txt #> . Compiling model graph #> Resolving undeclared variables #> Allocating nodes #> Graph information: #> Observed stochastic nodes: 61 #> Unobserved stochastic nodes: 24 #> Total graph size: 353 #> . Reading parameter file inits1.txt #> . Initializing model #> . Adapting 100 #> -------------------------------------------------| 100 #> ++++++++++++++++++++++++++++++++++++++++++++++++++ 100% #> Adaptation successful #> . Updating 250 #> -------------------------------------------------| 250 #> ************************************************** 100% #> . . Updating 250 #> -------------------------------------------------| 250 #> ************************************************** 100% #> . . . . Updating 0 #> . Deleting model #> . #> Simulation complete. Reading coda files... #> Coda files loaded successfully #> Calculating summary statistics... #> Finished running the simulation #> | |==================================================== | 75%Calling the simulation... #> Welcome to JAGS 4.3.0 on Mon Sep 23 16:20:39 2024 #> JAGS is free software and comes with ABSOLUTELY NO WARRANTY #> Loading module: basemod: ok #> Loading module: bugs: ok #> . . Reading data file data.txt #> . Compiling model graph #> Resolving undeclared variables #> Allocating nodes #> Graph information: #> Observed stochastic nodes: 71 #> Unobserved stochastic nodes: 26 #> Total graph size: 387 #> . Reading parameter file inits1.txt #> . Initializing model #> . Adapting 100 #> -------------------------------------------------| 100 #> ++++++++++++++++++++++++++++++++++++++++++++++++++ 100% #> Adaptation successful #> . Updating 250 #> -------------------------------------------------| 250 #> ************************************************** 100% #> . . Updating 250 #> -------------------------------------------------| 250 #> ************************************************** 100% #> . . . . Updating 0 #> . Deleting model #> . #> Simulation complete. Reading coda files... #> Coda files loaded successfully #> Calculating summary statistics... #> Finished running the simulation #> | |====================================================== | 78%Calling the simulation... #> Welcome to JAGS 4.3.0 on Mon Sep 23 16:20:40 2024 #> JAGS is free software and comes with ABSOLUTELY NO WARRANTY #> Loading module: basemod: ok #> Loading module: bugs: ok #> . . Reading data file data.txt #> . Compiling model graph #> Resolving undeclared variables #> Allocating nodes #> Graph information: #> Observed stochastic nodes: 70 #> Unobserved stochastic nodes: 26 #> Total graph size: 387 #> . Reading parameter file inits1.txt #> . Initializing model #> . Adapting 100 #> -------------------------------------------------| 100 #> ++++++++++++++++++++++++++++++++++++++++++++++++++ 100% #> Adaptation successful #> . Updating 250 #> -------------------------------------------------| 250 #> ************************************************** 100% #> . . Updating 250 #> -------------------------------------------------| 250 #> ************************************************** 100% #> . . . . Updating 0 #> . Deleting model #> . #> Simulation complete. Reading coda files... #> Coda files loaded successfully #> Calculating summary statistics... #> Finished running the simulation #> | |======================================================== | 80%Calling the simulation... #> Welcome to JAGS 4.3.0 on Mon Sep 23 16:20:42 2024 #> JAGS is free software and comes with ABSOLUTELY NO WARRANTY #> Loading module: basemod: ok #> Loading module: bugs: ok #> . . Reading data file data.txt #> . Compiling model graph #> Resolving undeclared variables #> Allocating nodes #> Graph information: #> Observed stochastic nodes: 70 #> Unobserved stochastic nodes: 26 #> Total graph size: 387 #> . Reading parameter file inits1.txt #> . Initializing model #> . Adapting 100 #> -------------------------------------------------| 100 #> ++++++++++++++++++++++++++++++++++++++++++++++++++ 100% #> Adaptation successful #> . Updating 250 #> -------------------------------------------------| 250 #> ************************************************** 100% #> . . Updating 250 #> -------------------------------------------------| 250 #> ************************************************** 100% #> . . . . Updating 0 #> . Deleting model #> . #> Simulation complete. Reading coda files... #> Coda files loaded successfully #> Calculating summary statistics... #> Finished running the simulation #> | |========================================================== | 82%Calling the simulation... #> Welcome to JAGS 4.3.0 on Mon Sep 23 16:20:44 2024 #> JAGS is free software and comes with ABSOLUTELY NO WARRANTY #> Loading module: basemod: ok #> Loading module: bugs: ok #> . . Reading data file data.txt #> . Compiling model graph #> Resolving undeclared variables #> Allocating nodes #> Graph information: #> Observed stochastic nodes: 68 #> Unobserved stochastic nodes: 26 #> Total graph size: 387 #> . Reading parameter file inits1.txt #> . Initializing model #> . Adapting 100 #> -------------------------------------------------| 100 #> ++++++++++++++++++++++++++++++++++++++++++++++++++ 100% #> Adaptation successful #> . Updating 250 #> -------------------------------------------------| 250 #> ************************************************** 100% #> . . Updating 250 #> -------------------------------------------------| 250 #> ************************************************** 100% #> . . . . Updating 0 #> . Deleting model #> . #> Simulation complete. Reading coda files... #> Coda files loaded successfully #> Calculating summary statistics... #> Finished running the simulation #> | |============================================================ | 85%Calling the simulation... #> Welcome to JAGS 4.3.0 on Mon Sep 23 16:20:46 2024 #> JAGS is free software and comes with ABSOLUTELY NO WARRANTY #> Loading module: basemod: ok #> Loading module: bugs: ok #> . . Reading data file data.txt #> . Compiling model graph #> Resolving undeclared variables #> Allocating nodes #> Graph information: #> Observed stochastic nodes: 61 #> Unobserved stochastic nodes: 24 #> Total graph size: 353 #> . Reading parameter file inits1.txt #> . Initializing model #> . Adapting 100 #> -------------------------------------------------| 100 #> ++++++++++++++++++++++++++++++++++++++++++++++++++ 100% #> Adaptation successful #> . Updating 250 #> -------------------------------------------------| 250 #> ************************************************** 100% #> . . Updating 250 #> -------------------------------------------------| 250 #> ************************************************** 100% #> . . . . Updating 0 #> . Deleting model #> . #> Simulation complete. Reading coda files... #> Coda files loaded successfully #> Calculating summary statistics... #> Finished running the simulation #> | |============================================================= | 88%Calling the simulation... #> Welcome to JAGS 4.3.0 on Mon Sep 23 16:20:48 2024 #> JAGS is free software and comes with ABSOLUTELY NO WARRANTY #> Loading module: basemod: ok #> Loading module: bugs: ok #> . . Reading data file data.txt #> . Compiling model graph #> Resolving undeclared variables #> Allocating nodes #> Graph information: #> Observed stochastic nodes: 71 #> Unobserved stochastic nodes: 26 #> Total graph size: 387 #> . Reading parameter file inits1.txt #> . Initializing model #> . Adapting 100 #> -------------------------------------------------| 100 #> ++++++++++++++++++++++++++++++++++++++++++++++++++ 100% #> Adaptation successful #> . Updating 250 #> -------------------------------------------------| 250 #> ************************************************** 100% #> . . Updating 250 #> -------------------------------------------------| 250 #> ************************************************** 100% #> . . . . Updating 0 #> . Deleting model #> . #> Simulation complete. Reading coda files... #> Coda files loaded successfully #> Calculating summary statistics... #> Finished running the simulation #> | |=============================================================== | 90%Calling the simulation... #> Welcome to JAGS 4.3.0 on Mon Sep 23 16:20:50 2024 #> JAGS is free software and comes with ABSOLUTELY NO WARRANTY #> Loading module: basemod: ok #> Loading module: bugs: ok #> . . Reading data file data.txt #> . Compiling model graph #> Resolving undeclared variables #> Allocating nodes #> Graph information: #> Observed stochastic nodes: 70 #> Unobserved stochastic nodes: 26 #> Total graph size: 387 #> . Reading parameter file inits1.txt #> . Initializing model #> . Adapting 100 #> -------------------------------------------------| 100 #> ++++++++++++++++++++++++++++++++++++++++++++++++++ 100% #> Adaptation successful #> . Updating 250 #> -------------------------------------------------| 250 #> ************************************************** 100% #> . . Updating 250 #> -------------------------------------------------| 250 #> ************************************************** 100% #> . . . . Updating 0 #> . Deleting model #> . #> Simulation complete. Reading coda files... #> Coda files loaded successfully #> Calculating summary statistics... #> Finished running the simulation #> | |================================================================= | 92%Calling the simulation... #> Welcome to JAGS 4.3.0 on Mon Sep 23 16:20:52 2024 #> JAGS is free software and comes with ABSOLUTELY NO WARRANTY #> Loading module: basemod: ok #> Loading module: bugs: ok #> . . Reading data file data.txt #> . Compiling model graph #> Resolving undeclared variables #> Allocating nodes #> Graph information: #> Observed stochastic nodes: 70 #> Unobserved stochastic nodes: 26 #> Total graph size: 387 #> . Reading parameter file inits1.txt #> . Initializing model #> . Adapting 100 #> -------------------------------------------------| 100 #> ++++++++++++++++++++++++++++++++++++++++++++++++++ 100% #> Adaptation successful #> . Updating 250 #> -------------------------------------------------| 250 #> ************************************************** 100% #> . . Updating 250 #> -------------------------------------------------| 250 #> ************************************************** 100% #> . . . . Updating 0 #> . Deleting model #> . #> Simulation complete. Reading coda files... #> Coda files loaded successfully #> Calculating summary statistics... #> Finished running the simulation #> | |================================================================== | 95%Calling the simulation... #> Welcome to JAGS 4.3.0 on Mon Sep 23 16:20:53 2024 #> JAGS is free software and comes with ABSOLUTELY NO WARRANTY #> Loading module: basemod: ok #> Loading module: bugs: ok #> . . Reading data file data.txt #> . Compiling model graph #> Resolving undeclared variables #> Allocating nodes #> Graph information: #> Observed stochastic nodes: 68 #> Unobserved stochastic nodes: 26 #> Total graph size: 387 #> . Reading parameter file inits1.txt #> . Initializing model #> . Adapting 100 #> -------------------------------------------------| 100 #> ++++++++++++++++++++++++++++++++++++++++++++++++++ 100% #> Adaptation successful #> . Updating 250 #> -------------------------------------------------| 250 #> ************************************************** 100% #> . . Updating 250 #> -------------------------------------------------| 250 #> ************************************************** 100% #> . . . . Updating 0 #> . Deleting model #> . #> Simulation complete. Reading coda files... #> Coda files loaded successfully #> Calculating summary statistics... #> Finished running the simulation #> | |==================================================================== | 98%Calling the simulation... #> Welcome to JAGS 4.3.0 on Mon Sep 23 16:20:55 2024 #> JAGS is free software and comes with ABSOLUTELY NO WARRANTY #> Loading module: basemod: ok #> Loading module: bugs: ok #> . . Reading data file data.txt #> . Compiling model graph #> Resolving undeclared variables #> Allocating nodes #> Graph information: #> Observed stochastic nodes: 61 #> Unobserved stochastic nodes: 24 #> Total graph size: 353 #> . Reading parameter file inits1.txt #> . Initializing model #> . Adapting 100 #> -------------------------------------------------| 100 #> ++++++++++++++++++++++++++++++++++++++++++++++++++ 100% #> Adaptation successful #> . Updating 250 #> -------------------------------------------------| 250 #> ************************************************** 100% #> . . Updating 250 #> -------------------------------------------------| 250 #> ************************************************** 100% #> . . . . Updating 0 #> . Deleting model #> . #> Simulation complete. Reading coda files... #> Coda files loaded successfully #> Calculating summary statistics... #> Finished running the simulation #> | |======================================================================| 100% #> Calculating summary statistics... #> Calculating the Gelman-Rubin statistic for 3 variables.... #> Calculating summary statistics... #> Calculating the Gelman-Rubin statistic for 3 variables.... #> Calculating summary statistics... #> Calculating the Gelman-Rubin statistic for 3 variables.... #> Calculating summary statistics... #> Calculating the Gelman-Rubin statistic for 3 variables.... #> Calculating summary statistics... #> Calculating the Gelman-Rubin statistic for 3 variables.... #> Calculating summary statistics... #> Calculating the Gelman-Rubin statistic for 3 variables.... #> Calculating summary statistics... #> Calculating the Gelman-Rubin statistic for 3 variables.... #> Calculating summary statistics... #> Calculating the Gelman-Rubin statistic for 3 variables.... #> Calculating summary statistics... #> Calculating the Gelman-Rubin statistic for 3 variables.... #> Calculating summary statistics... #> Calculating the Gelman-Rubin statistic for 3 variables.... # print model predictions print(results$predictions) #> # A tibble: 30 × 2 #> f1 f2 #> #> 1 5.88e- 2 0.948 #> 2 1.00e+ 0 0.00000153 #> 3 5.37e-10 1.00 #> 4 1.00e+ 0 0.0000000615 #> 5 1.00e+ 0 0.0000633 #> 6 3.23e- 3 0.998 #> 7 6.25e- 3 0.881 #> 8 9.97e- 1 0.0608 #> 9 1.89e- 4 0.999 #> 10 2.89e- 1 0.829 #> # ℹ 20 more rows # print model performance print(results$performance, width = Inf) #> # A tibble: 2 × 14 #> feature max_mpsrf train_tss_mean train_tss_std train_sensitivity_mean #> #> 1 f1 1.17 0.866 0.0651 0.958 #> 2 f2 2.57 0.836 0.0812 0.967 #> train_sensitivity_std train_specificity_mean train_specificity_std #> #> 1 0.0421 0.909 0.0371 #> 2 0.0453 0.869 0.0581 #> test_tss_mean test_tss_std test_sensitivity_mean test_sensitivity_std #> #> 1 0.818 0.209 0.882 0.161 #> 2 0.655 0.222 0.881 0.163 #> test_specificity_mean test_specificity_std #> #> 1 0.935 0.0926 #> 2 0.774 0.230 # }"},{"path":"https://github.com/prioritizr/surveyvoi/reference/fit_xgb_occupancy_models.html","id":null,"dir":"Reference","previous_headings":"","what":"Fit boosted regression tree models to predict occupancy — fit_xgb_occupancy_models","title":"Fit boosted regression tree models to predict occupancy — fit_xgb_occupancy_models","text":"Estimate probability occupancy set features set planning units. Models fitted using gradient boosted trees (via xgboost::xgb.train()).","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/fit_xgb_occupancy_models.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Fit boosted regression tree models to predict occupancy — fit_xgb_occupancy_models","text":"","code":"fit_xgb_occupancy_models( site_data, feature_data, site_detection_columns, site_n_surveys_columns, site_env_vars_columns, feature_survey_sensitivity_column, feature_survey_specificity_column, xgb_tuning_parameters, xgb_early_stopping_rounds = rep(20, length(site_detection_columns)), xgb_n_rounds = rep(100, length(site_detection_columns)), n_folds = rep(5, length(site_detection_columns)), n_threads = 1, seed = 500, verbose = FALSE )"},{"path":"https://github.com/prioritizr/surveyvoi/reference/fit_xgb_occupancy_models.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Fit boosted regression tree models to predict occupancy — fit_xgb_occupancy_models","text":"site_data sf::sf() object site data. feature_data base::data.frame() object feature data. site_detection_columns character names numeric columns argument site_data contain proportion surveys conducted within site detected feature. column correspond different feature, contain proportion value (zero one). site previously surveyed, value zero used. site_n_surveys_columns character names numeric columns argument site_data contain total number surveys conducted feature within site. column correspond different feature, contain non-negative integer number (e.g. 0, 1, 2, 3). site previously surveyed, value zero used. site_env_vars_columns character names columns argument site_data contain environmental information fitting updated occupancy models based possible survey outcomes. column correspond different environmental variable, contain numeric, factor, character data. missing (NA) values permitted columns. feature_survey_sensitivity_column character name column argument feature_data contains probability future surveys correctly detecting presence feature given site (.e. sensitivity survey methodology). column numeric values zero one. missing (NA) values permitted column. feature_survey_specificity_column character name column argument feature_data contains probability future surveys correctly detecting absence feature given site (.e. specificity survey methodology). column numeric values zero one. missing (NA) values permitted column. xgb_tuning_parameters list object containing candidate parameter values fitting models. Valid parameters include: \"max_depth\", \"eta\", \"lambda\", \"min_child_weight\", \"subsample\", \"colsample_by_tree\", \"objective\". See documentation params argument xgboost::xgb.train() information. xgb_early_stopping_rounds numeric model rounds parameter tuning. See xgboost::xgboost() information. Defaults 10 feature. xgb_n_rounds numeric model rounds model fitting See xgboost::xgboost() information. Defaults 100 feature. n_folds numeric number folds split training data fitting models feature. Defaults 5 feature. n_threads integer number threads use parameter tuning. Defaults 1. seed integer initial random number generator state model fitting. Defaults 500. verbose logical indicating information printed computations. Defaults FALSE.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/fit_xgb_occupancy_models.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Fit boosted regression tree models to predict occupancy — fit_xgb_occupancy_models","text":"list object containing: parameters list list objects containing best tuning parameters feature. predictions tibble::tibble() object containing predictions feature. performance tibble::tibble() object containing performance best models feature. contains following columns: feature name feature. train_tss_mean mean TSS statistic models calculated using training data cross-validation. train_tss_std standard deviation TSS statistics models calculated using training data cross-validation. train_sensitivity_mean mean sensitivity statistic models calculated using training data cross-validation. train_sensitivity_std standard deviation sensitivity statistics models calculated using training data cross-validation. train_specificity_mean mean specificity statistic models calculated using training data cross-validation. train_specificity_std standard deviation specificity statistics models calculated using training data cross-validation. test_tss_mean mean TSS statistic models calculated using test data cross-validation. test_tss_std standard deviation TSS statistics models calculated using test data cross-validation. test_sensitivity_mean mean sensitivity statistic models calculated using test data cross-validation. test_sensitivity_std standard deviation sensitivity statistics models calculated using test data cross-validation. test_specificity_mean mean specificity statistic models calculated using test data cross-validation. test_specificity_std standard deviation specificity statistics models calculated using test data cross-validation.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/fit_xgb_occupancy_models.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Fit boosted regression tree models to predict occupancy — fit_xgb_occupancy_models","text":"function () prepares data model fitting, (ii) calibrates tuning parameters model fitting (see xgboost::xgb.train() details tuning parameters), (iii) generate predictions using best found tuning parameters, (iv) assess performance best supported models. analyses performed separately feature. given feature: data prepared model fitting partitioning data using k-fold cross-validation (set via argument n_folds). training evaluation folds constructed manner ensure training evaluation fold contains least one presence one absence observation. grid search method used tune model parameters. candidate values parameter (specified via parameters) used generate full set parameter combinations, parameter combinations subsequently used tuning models. account unbalanced datasets, scale_pos_weight xgboost::xgboost() parameter calculated mean value across training folds (.e. number absence divided number presences per feature). given parameter combination, models fit using k-fold cross- validation (via xgboost::xgb.cv()) – using previously mentioned training evaluation folds – True Skill Statistic (TSS) calculated using data held fold used quantify performance (.e. \"test_tss_mean\" column output). models also fitted using early_stopping_rounds parameter reduce time-spent tuning models. relevant, also fitted using supplied weights (per argument site_weights_data). exploring full set parameter combinations, best parameter combination identified, associated parameter values models stored later use. cross-validation models associated best parameter combination used generate predict average probability feature occupies site. predictions include sites surveyed , also sites surveyed . performance cross-validation models evaluated. Specifically, TSS, sensitivity, specificity statistics calculated (relevant, weighted argument site_weights_data). performance values calculated using models' training evaluation folds.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/fit_xgb_occupancy_models.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Fit boosted regression tree models to predict occupancy — fit_xgb_occupancy_models","text":"","code":"# \\dontrun{ # set seeds for reproducibility set.seed(123) # simulate data for 30 sites, 2 features, and 3 environmental variables site_data <- simulate_site_data( n_sites = 30, n_features = 2, n_env_vars = 3, prop = 0.1) feature_data <- simulate_feature_data(n_features = 2, prop = 1) # create list of possible tuning parameters for modeling parameters <- list(eta = seq(0.1, 0.5, length.out = 3), lambda = 10 ^ seq(-1.0, 0.0, length.out = 3), objective = \"binary:logistic\") # fit models # note that we use 10 random search iterations here so that the example # finishes quickly, you would probably want something like 1000+ results <- fit_xgb_occupancy_models( site_data, feature_data, c(\"f1\", \"f2\"), c(\"n1\", \"n2\"), c(\"e1\", \"e2\", \"e3\"), \"survey_sensitivity\", \"survey_specificity\", n_folds = rep(5, 2), xgb_early_stopping_rounds = rep(100, 2), xgb_tuning_parameters = parameters, n_threads = 1) # print best found model parameters print(results$parameters) #> [[1]] #> [[1]]$eta #> [1] 0.1 #> #> [[1]]$lambda #> [1] 0.1 #> #> [[1]]$objective #> [1] \"binary:logistic\" #> #> [[1]]$scale_pos_weight #> [[1]]$scale_pos_weight[[1]] #> [1] 1 1 1 1 1 #> #> #> #> [[2]] #> [[2]]$eta #> [1] 0.1 #> #> [[2]]$lambda #> [1] 0.1 #> #> [[2]]$objective #> [1] \"binary:logistic\" #> #> [[2]]$scale_pos_weight #> [[2]]$scale_pos_weight[[1]] #> [1] 1 1 1 1 1 #> #> #> # print model predictions print(results$predictions) #> # A tibble: 30 × 2 #> f1 f2 #> #> 1 0.450 0.635 #> 2 0.549 0.362 #> 3 0.450 0.629 #> 4 0.549 0.362 #> 5 0.539 0.363 #> 6 0.450 0.638 #> 7 0.450 0.373 #> 8 0.549 0.627 #> 9 0.450 0.630 #> 10 0.529 0.557 #> # ℹ 20 more rows # print model performance print(results$performance, width = Inf) #> # A tibble: 2 × 13 #> feature train_tss_mean train_tss_std train_sensitivity_mean #> #> 1 f1 1.00 0 1.00 #> 2 f2 0.976 0.0142 1.00 #> train_sensitivity_std train_specificity_mean train_specificity_std #> #> 1 0 1.00 0 #> 2 0 0.976 0.0142 #> test_tss_mean test_tss_std test_sensitivity_mean test_sensitivity_std #> #> 1 0.607 0.395 0.839 0.231 #> 2 0.703 0.229 1.00 0 #> test_specificity_mean test_specificity_std #> #> 1 0.769 0.265 #> 2 0.703 0.229 # }"},{"path":"https://github.com/prioritizr/surveyvoi/reference/geo_cov_survey_scheme.html","id":null,"dir":"Reference","previous_headings":"","what":"Geographic coverage survey scheme — geo_cov_survey_scheme","title":"Geographic coverage survey scheme — geo_cov_survey_scheme","text":"Generate survey scheme maximizing geographic coverage surveys.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/geo_cov_survey_scheme.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Geographic coverage survey scheme — geo_cov_survey_scheme","text":"","code":"geo_cov_survey_scheme( site_data, cost_column, survey_budget, locked_in_column = NULL, locked_out_column = NULL, exclude_locked_out = FALSE, solver = \"auto\", verbose = FALSE )"},{"path":"https://github.com/prioritizr/surveyvoi/reference/geo_cov_survey_scheme.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Geographic coverage survey scheme — geo_cov_survey_scheme","text":"site_data sf::sf() object containing candidate survey sites. cost_column character name column argument argument site_data contains cost surveying site. missing (NA) values permitted. survey_budget numeric vector maximum budgets survey schemes. missing (NA) values permitted. locked_in_column character (optional) name column argument site_data contains logical (TRUE/ FALSE) values indicating certain sites locked survey scheme. missing (NA) values permitted. Defaults NULL sites locked . locked_out_column character (optional) name column argument site_data contains logical (TRUE/ FALSE) values indicating certain sites locked survey scheme. missing (NA) values permitted. Defaults NULL sites locked . exclude_locked_out logical locked planning units entirely excluded optimization process? Defaults FALSE. solver character name optimization solver use generating survey schemes. Available options include: \"Rsymphony\", \"gurobi\" \"auto\". \"auto\" method use Gurobi optimization software available; otherwise, use SYMPHONY software via Rsymphony package. Defaults \"auto\". verbose logical indicating information printed generating survey scheme(s). Defaults FALSE.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/geo_cov_survey_scheme.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Geographic coverage survey scheme — geo_cov_survey_scheme","text":"matrix logical (TRUE/ FALSE) values indicating site selected scheme . Columns correspond sites, rows correspond different schemes.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/geo_cov_survey_scheme.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Geographic coverage survey scheme — geo_cov_survey_scheme","text":"integer programming formulation p-Median problem (Daskin & Maass 2015) used generate survey schemes.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/geo_cov_survey_scheme.html","id":"solver","dir":"Reference","previous_headings":"","what":"Solver","title":"Geographic coverage survey scheme — geo_cov_survey_scheme","text":"function can use Rsymphony package Gurobi optimization software generate survey schemes. Although Rsymphony package easier install freely available Comprehensive R Archive Network (CRAN), strongly recommended install Gurobi optimization software gurobi R package can generate survey schemes much faster. Note special academic licenses available cost. Installation instructions available online Linux, Windows, Mac OS operating systems.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/geo_cov_survey_scheme.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Geographic coverage survey scheme — geo_cov_survey_scheme","text":"Daskin MS & Maass KL (2015) p-median problem. Location Science (pp. 21-45). Springer, Cham.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/geo_cov_survey_scheme.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Geographic coverage survey scheme — geo_cov_survey_scheme","text":"","code":"# set seed for reproducibility set.seed(123) # simulate data x <- sf::st_as_sf( tibble::tibble(x = rnorm(4), y = rnorm(4), v1 = c(0.1, 0.2, 0.3, 10), # environmental axis 1 v2 = c(0.1, 0.2, 0.3, 10), # environmental axis 2 cost = rep(1, 4)), coords = c(\"x\", \"y\")) # plot the sites' locations plot(st_geometry(x), pch = 16, cex = 3) # generate scheme with a budget of 2 s <- geo_cov_survey_scheme(x, \"cost\", 2) # print scheme print(s) #> [,1] [,2] [,3] [,4] #> [1,] TRUE FALSE TRUE FALSE # plot scheme x$scheme <- c(s) plot(x[, \"scheme\"], pch = 16, cex = 3)"},{"path":"https://github.com/prioritizr/surveyvoi/reference/greedy_heuristic_prioritization.html","id":null,"dir":"Reference","previous_headings":"","what":"Greedy heuristic prioritization — greedy_heuristic_prioritization","title":"Greedy heuristic prioritization — greedy_heuristic_prioritization","text":"Generate prioritization protected area establishment.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/greedy_heuristic_prioritization.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Greedy heuristic prioritization — greedy_heuristic_prioritization","text":"","code":"greedy_heuristic_prioritization( site_data, feature_data, site_probability_columns, site_management_cost_column, feature_target_column, total_budget, site_management_locked_in_column = NULL, site_management_locked_out_column = NULL )"},{"path":"https://github.com/prioritizr/surveyvoi/reference/greedy_heuristic_prioritization.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Greedy heuristic prioritization — greedy_heuristic_prioritization","text":"site_data sf::sf() object site data. feature_data base::data.frame() object feature data. site_probability_columns character names numeric columns argument site_data contain modeled probabilities occupancy feature site. column correspond different feature, contain probability data (values zero one). missing (NA) values permitted columns. site_management_cost_column character name column argument site_data contains costs managing site conservation. column numeric values equal greater zero. missing (NA) values permitted column. feature_target_column character name column argument feature_data contains \\(target\\) values used parametrize conservation benefit managing feature. column numeric values equal greater zero. missing (NA) values permitted column. total_budget numeric maximum expenditure permitted conducting surveys managing sites conservation. site_management_locked_in_column character name column argument site_data contains logical (TRUE / FALSE) values indicating sites locked (TRUE) managed conservation (FALSE) . missing (NA) values permitted column. useful sites already earmarked conservation, sites already managed conservation. Defaults NULL sites locked . site_management_locked_out_column character name column argument site_data contains logical (TRUE / FALSE) values indicating sites locked (TRUE) managed conservation (FALSE) . missing (NA) values permitted column. useful sites potentially surveyed improve model predictions even managed conservation. Defaults NULL sites locked .","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/greedy_heuristic_prioritization.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Greedy heuristic prioritization — greedy_heuristic_prioritization","text":"list containing following elements: x logical vector indicating site selected protection . objval numeric value denoting objective value prioritization.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/greedy_heuristic_prioritization.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Greedy heuristic prioritization — greedy_heuristic_prioritization","text":"prioritization generated using greedy heuristic algorithm. objective function algorithm calculated : () estimating probability species meets target, (ii) calculating sum probabilities. Note function underpins value information calculations used assess potential management decision given updated information presence particular species particular sites.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/greedy_heuristic_prioritization.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Greedy heuristic prioritization — greedy_heuristic_prioritization","text":"","code":"# set seeds for reproducibility set.seed(123) # load example site data data(sim_sites) print(sim_sites) #> Simple feature collection with 6 features and 13 fields #> Geometry type: POINT #> Dimension: XY #> Bounding box: xmin: 0.02541313 ymin: 0.07851093 xmax: 0.9888107 ymax: 0.717068 #> CRS: NA #> # A tibble: 6 × 14 #> survey_cost management_cost f1 f2 f3 n1 n2 n3 e1 e2 #> #> 1 19 99 0 0 0 0 0 0 1.13 0.535 #> 2 22 87 0 1 0.25 4 4 4 -1.37 -1.45 #> 3 13 94 1 1 0 1 1 1 0.155 -0.867 #> 4 19 61 0 0 0 0 0 0 -0.792 1.32 #> 5 9 105 0 0 0 0 0 0 -0.194 0.238 #> 6 12 136 0 0 0 0 0 0 1.07 0.220 #> # ℹ 4 more variables: p1 , p2 , p3 , geometry # load example feature data data(sim_features) print(sim_features) #> # A tibble: 3 × 7 #> name survey survey_sensitivity survey_specificity model_sensitivity #> #> 1 f1 TRUE 0.951 0.854 0.711 #> 2 f2 TRUE 0.990 0.832 0.722 #> 3 f3 TRUE 0.986 0.808 0.772 #> # ℹ 2 more variables: model_specificity , target # set total budget for managing sites for conservation # (i.e. 50% of the cost of managing all sites) total_budget <- sum(sim_sites$management_cost) * 0.5 # generate reserve selection prioritization results <- greedy_heuristic_prioritization( sim_sites, sim_features, c(\"p1\", \"p2\", \"p3\"), \"management_cost\", \"target\", total_budget ) # print results print(results) #> $x #> [1] TRUE FALSE FALSE TRUE TRUE FALSE #> #> $objval #> [1] 0.982308 #>"},{"path":"https://github.com/prioritizr/surveyvoi/reference/n_states.html","id":null,"dir":"Reference","previous_headings":"","what":"Number of states — n_states","title":"Number of states — n_states","text":"Calculate total number presence/absence states given number sites features.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/n_states.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Number of states — n_states","text":"","code":"n_states(n_sites, n_features)"},{"path":"https://github.com/prioritizr/surveyvoi/reference/n_states.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Number of states — n_states","text":"n_sites numeric number sites. n_features numeric number features.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/n_states.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Number of states — n_states","text":"numeric value.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/n_states.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Number of states — n_states","text":"","code":"# calculate number of states for 3 sites and 2 features n_states(n_sites = 2, n_features = 3) #> [1] 64"},{"path":"https://github.com/prioritizr/surveyvoi/reference/optimal_survey_scheme.html","id":null,"dir":"Reference","previous_headings":"","what":"Optimal survey scheme — optimal_survey_scheme","title":"Optimal survey scheme — optimal_survey_scheme","text":"Find optimal survey scheme maximizes value information. function uses exact method calculating expected value decision given survey scheme.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/optimal_survey_scheme.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Optimal survey scheme — optimal_survey_scheme","text":"","code":"optimal_survey_scheme( site_data, feature_data, site_detection_columns, site_n_surveys_columns, site_probability_columns, site_management_cost_column, site_survey_cost_column, feature_survey_column, feature_survey_sensitivity_column, feature_survey_specificity_column, feature_model_sensitivity_column, feature_model_specificity_column, feature_target_column, total_budget, survey_budget, site_management_locked_in_column = NULL, site_management_locked_out_column = NULL, site_survey_locked_out_column = NULL, prior_matrix = NULL, n_threads = 1, verbose = FALSE )"},{"path":"https://github.com/prioritizr/surveyvoi/reference/optimal_survey_scheme.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Optimal survey scheme — optimal_survey_scheme","text":"site_data sf::sf() object site data. feature_data base::data.frame() object feature data. site_detection_columns character names numeric columns argument site_data contain proportion surveys conducted within site detected feature. column correspond different feature, contain proportion value (zero one). site previously surveyed, value zero used. site_n_surveys_columns character names numeric columns argument site_data contain total number surveys conducted feature within site. column correspond different feature, contain non-negative integer number (e.g. 0, 1, 2, 3). site previously surveyed, value zero used. site_probability_columns character names numeric columns argument site_data contain modeled probabilities occupancy feature site. column correspond different feature, contain probability data (values zero one). missing (NA) values permitted columns. site_management_cost_column character name column argument site_data contains costs managing site conservation. column numeric values equal greater zero. missing (NA) values permitted column. site_survey_cost_column character name column argument site_data contains costs surveying site. column numeric values equal greater zero. missing (NA) values permitted column. feature_survey_column character name column argument feature_data contains logical (TRUE / FALSE) values indicating feature surveyed planned surveys . Note considering additional features rapidly increase computational burden, recommended consider features specific conservation interest. missing (NA) values permitted column. feature_survey_sensitivity_column character name column argument feature_data contains probability future surveys correctly detecting presence feature given site (.e. sensitivity survey methodology). column numeric values zero one. missing (NA) values permitted column. feature_survey_specificity_column character name column argument feature_data contains probability future surveys correctly detecting absence feature given site (.e. specificity survey methodology). column numeric values zero one. missing (NA) values permitted column. feature_model_sensitivity_column character name column argument feature_data contains probability initial models correctly predicting presence feature given site (.e. sensitivity models). column numeric values zero one. missing (NA) values permitted column. ideally calculated using fit_xgb_occupancy_models() fit_hglm_occupancy_models(). feature_model_specificity_column character name column argument feature_data contains probability initial models correctly predicting absence feature given site (.e. specificity models). column numeric values zero one. missing (NA) values permitted column. ideally calculated using fit_xgb_occupancy_models() fit_hglm_occupancy_models(). feature_target_column character name column argument feature_data contains \\(target\\) values used parametrize conservation benefit managing feature. column numeric values equal greater zero. missing (NA) values permitted column. total_budget numeric maximum expenditure permitted conducting surveys managing sites conservation. survey_budget numeric maximum expenditure permitted conducting surveys. site_management_locked_in_column character name column argument site_data contains logical (TRUE / FALSE) values indicating sites locked (TRUE) managed conservation (FALSE) . missing (NA) values permitted column. useful sites already earmarked conservation, sites already managed conservation. Defaults NULL sites locked . site_management_locked_out_column character name column argument site_data contains logical (TRUE / FALSE) values indicating sites locked (TRUE) managed conservation (FALSE) . missing (NA) values permitted column. useful sites potentially surveyed improve model predictions even managed conservation. Defaults NULL sites locked . site_survey_locked_out_column character name column argument site_data contains logical (TRUE / FALSE) values indicating sites locked (TRUE) selected future surveys (FALSE) . missing (NA) values permitted column. useful sites never considered future surveys (e.g. costly survey, low chance containing target species). Defaults NULL sites locked . prior_matrix numeric matrix containing prior probability feature occupying site. Rows correspond features, columns correspond sites. Defaults NULL prior data calculated automatically using prior_probability_matrix(). n_threads integer number threads use computation. verbose logical indicating information printed processing. Defaults FALSE.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/optimal_survey_scheme.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Optimal survey scheme — optimal_survey_scheme","text":"matrix logical (TRUE/ FALSE) values indicating site selected scheme . Columns correspond sites, rows correspond different schemes. one optimal survey scheme matrix contain single row. matrix also numeric \"ev\" attribute contains expected value scheme.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/optimal_survey_scheme.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Optimal survey scheme — optimal_survey_scheme","text":"optimal survey scheme determined using brute-force algorithm. Initially, feasible (valid) survey schemes identified given survey costs survey budget (using feasible_survey_schemes(). Next, expected value every feasible survey scheme computed (using evdsi()). Finally, greatest expected value identified, survey schemes share greatest expected value returned. Due nature algorithm, can take long time complete.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/optimal_survey_scheme.html","id":"dependencies","dir":"Reference","previous_headings":"","what":"Dependencies","title":"Optimal survey scheme — optimal_survey_scheme","text":"Please note function requires Gurobi optimization software (https://www.gurobi.com/) gurobi R package different sites different survey costs. Installation instruction available online Linux, Windows, Mac OS (see https://support.gurobi.com/hc/en-us/articles/4534161999889----install-Gurobi-Optimizer).","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/optimal_survey_scheme.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Optimal survey scheme — optimal_survey_scheme","text":"","code":"# set seeds for reproducibility set.seed(123) # load example site data data(sim_sites) print(sim_sites) #> Simple feature collection with 6 features and 13 fields #> Geometry type: POINT #> Dimension: XY #> Bounding box: xmin: 0.02541313 ymin: 0.07851093 xmax: 0.9888107 ymax: 0.717068 #> CRS: NA #> # A tibble: 6 × 14 #> survey_cost management_cost f1 f2 f3 n1 n2 n3 e1 e2 #> #> 1 19 99 0 0 0 0 0 0 1.13 0.535 #> 2 22 87 0 1 0.25 4 4 4 -1.37 -1.45 #> 3 13 94 1 1 0 1 1 1 0.155 -0.867 #> 4 19 61 0 0 0 0 0 0 -0.792 1.32 #> 5 9 105 0 0 0 0 0 0 -0.194 0.238 #> 6 12 136 0 0 0 0 0 0 1.07 0.220 #> # ℹ 4 more variables: p1 , p2 , p3 , geometry # load example feature data data(sim_features) print(sim_features) #> # A tibble: 3 × 7 #> name survey survey_sensitivity survey_specificity model_sensitivity #> #> 1 f1 TRUE 0.951 0.854 0.711 #> 2 f2 TRUE 0.990 0.832 0.722 #> 3 f3 TRUE 0.986 0.808 0.772 #> # ℹ 2 more variables: model_specificity , target # set total budget for managing sites for conservation # (i.e. 50% of the cost of managing all sites) total_budget <- sum(sim_sites$management_cost) * 0.5 # set total budget for surveying sites for conservation # (i.e. 40% of the cost of managing all sites) survey_budget <- sum(sim_sites$survey_cost) * 0.4 # \\dontrun{ # find optimal survey scheme using exact method opt_survey <- optimal_survey_scheme( sim_sites, sim_features, c(\"f1\", \"f2\", \"f3\"), c(\"n1\", \"n2\", \"n3\"), c(\"p1\", \"p2\", \"p3\"), \"management_cost\", \"survey_cost\", \"survey\", \"survey_sensitivity\", \"survey_specificity\", \"model_sensitivity\", \"model_specificity\", \"target\", total_budget, survey_budget) # print result print(opt_survey) #> [,1] [,2] [,3] [,4] [,5] [,6] #> [1,] TRUE FALSE FALSE FALSE TRUE FALSE #> attr(,\"ev\") #> [1] 1.812399 # }"},{"path":"https://github.com/prioritizr/surveyvoi/reference/prior_probability_matrix.html","id":null,"dir":"Reference","previous_headings":"","what":"Prior probability matrix — prior_probability_matrix","title":"Prior probability matrix — prior_probability_matrix","text":"Create prior probability matrix value information analysis.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/prior_probability_matrix.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Prior probability matrix — prior_probability_matrix","text":"","code":"prior_probability_matrix( site_data, feature_data, site_detection_columns, site_n_surveys_columns, site_probability_columns, feature_survey_sensitivity_column, feature_survey_specificity_column, feature_model_sensitivity_column, feature_model_specificity_column )"},{"path":"https://github.com/prioritizr/surveyvoi/reference/prior_probability_matrix.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Prior probability matrix — prior_probability_matrix","text":"site_data sf::sf() object site data. feature_data base::data.frame() object feature data. site_detection_columns character names numeric columns argument site_data contain proportion surveys conducted within site detected feature. column correspond different feature, contain proportion value (zero one). site previously surveyed, value zero used. site_n_surveys_columns character names numeric columns argument site_data contain total number surveys conducted feature within site. column correspond different feature, contain non-negative integer number (e.g. 0, 1, 2, 3). site previously surveyed, value zero used. site_probability_columns character names numeric columns argument site_data contain modeled probabilities occupancy feature site. column correspond different feature, contain probability data (values zero one). missing (NA) values permitted columns. feature_survey_sensitivity_column character name column argument feature_data contains probability future surveys correctly detecting presence feature given site (.e. sensitivity survey methodology). column numeric values zero one. missing (NA) values permitted column. feature_survey_specificity_column character name column argument feature_data contains probability future surveys correctly detecting absence feature given site (.e. specificity survey methodology). column numeric values zero one. missing (NA) values permitted column. feature_model_sensitivity_column character name column argument feature_data contains probability initial models correctly predicting presence feature given site (.e. sensitivity models). column numeric values zero one. missing (NA) values permitted column. ideally calculated using fit_xgb_occupancy_models() fit_hglm_occupancy_models(). feature_model_specificity_column character name column argument feature_data contains probability initial models correctly predicting absence feature given site (.e. specificity models). column numeric values zero one. missing (NA) values permitted column. ideally calculated using fit_xgb_occupancy_models() fit_hglm_occupancy_models().","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/prior_probability_matrix.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Prior probability matrix — prior_probability_matrix","text":"matrix object containing prior probabilities feature occupying site. row corresponds different feature column corresponds different site.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/prior_probability_matrix.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Prior probability matrix — prior_probability_matrix","text":"","code":"# set seeds for reproducibility set.seed(123) # load example site data data(sim_sites) print(sim_sites) #> Simple feature collection with 6 features and 13 fields #> Geometry type: POINT #> Dimension: XY #> Bounding box: xmin: 0.02541313 ymin: 0.07851093 xmax: 0.9888107 ymax: 0.717068 #> CRS: NA #> # A tibble: 6 × 14 #> survey_cost management_cost f1 f2 f3 n1 n2 n3 e1 e2 #> #> 1 19 99 0 0 0 0 0 0 1.13 0.535 #> 2 22 87 0 1 0.25 4 4 4 -1.37 -1.45 #> 3 13 94 1 1 0 1 1 1 0.155 -0.867 #> 4 19 61 0 0 0 0 0 0 -0.792 1.32 #> 5 9 105 0 0 0 0 0 0 -0.194 0.238 #> 6 12 136 0 0 0 0 0 0 1.07 0.220 #> # ℹ 4 more variables: p1 , p2 , p3 , geometry # load example feature data data(sim_features) print(sim_features) #> # A tibble: 3 × 7 #> name survey survey_sensitivity survey_specificity model_sensitivity #> #> 1 f1 TRUE 0.951 0.854 0.711 #> 2 f2 TRUE 0.990 0.832 0.722 #> 3 f3 TRUE 0.986 0.808 0.772 #> # ℹ 2 more variables: model_specificity , target # calculate prior probability matrix prior_matrix <- prior_probability_matrix( sim_sites, sim_features, c(\"f1\", \"f2\", \"f3\"), c(\"n1\", \"n2\", \"n3\"), c(\"p1\", \"p2\", \"p3\"), \"survey_sensitivity\", \"survey_specificity\", \"model_sensitivity\", \"model_specificity\") # preview prior probability matrix print(prior_matrix) #> [,1] [,2] [,3] [,4] [,5] [,6] #> f1 0.8173204 1.079836e-05 0.8673022 0.2554465 0.2554465 0.8173204 #> f2 0.7883133 9.991649e-01 0.8546773 0.2567227 0.2567227 0.7883133 #> f3 0.2077566 2.583338e-05 0.0168493 0.8563573 0.8563573 0.2077566"},{"path":"https://github.com/prioritizr/surveyvoi/reference/relative_site_richness_scores.html","id":null,"dir":"Reference","previous_headings":"","what":"Relative site richness scores — relative_site_richness_scores","title":"Relative site richness scores — relative_site_richness_scores","text":"Calculate relative site richness scores. Sites greater scores predicted likely contain species. Note scores relative scores calculated using different matrices compared .","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/relative_site_richness_scores.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Relative site richness scores — relative_site_richness_scores","text":"","code":"relative_site_richness_scores(site_data, site_probability_columns)"},{"path":"https://github.com/prioritizr/surveyvoi/reference/relative_site_richness_scores.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Relative site richness scores — relative_site_richness_scores","text":"site_data sf::sf() object site data. site_probability_columns character names numeric columns argument site_data contain modeled probabilities occupancy feature site. column correspond different feature, contain probability data (values zero one). missing (NA) values permitted columns.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/relative_site_richness_scores.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Relative site richness scores — relative_site_richness_scores","text":"numeric vector richness scores. Note values automatically rescaled 0.01 1.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/relative_site_richness_scores.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Relative site richness scores — relative_site_richness_scores","text":"relative site richness scores calculated using following procedure: Let \\(J\\) denote set sites (indexed \\(j\\)), \\(\\) denote set features (indexed \\(\\)), \\(x_{ij}\\) denote modeled probability feature \\(\\\\) occurring sites \\(j \\J\\). Next, sum values site: \\(y_j = \\sum_{\\} x_{ij}\\). Finally, linearly rescale \\(y_j\\) values 0.01 1 produce scores.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/relative_site_richness_scores.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Relative site richness scores — relative_site_richness_scores","text":"","code":"# set seed for reproducibility set.seed(123) # simulate data for 3 features and 4 planning units x <- tibble::tibble(x = rnorm(4), y = rnorm(4), p1 = c(0.095, 0.032, 0.5, 0.924), p2 = c(0.023, 0.014, 0.4, 0.919), p3 = c(0.075, 0.046, 0.9, 0.977)) x <- sf::st_as_sf(x, coords = c(\"x\", \"y\")) # print data, # we can see that the fourth site has the highest modeled probabilities of # occupancy across all species print(x) #> Simple feature collection with 4 features and 3 fields #> Geometry type: POINT #> Dimension: XY #> Bounding box: xmin: -0.5604756 ymin: -1.265061 xmax: 1.558708 ymax: 1.715065 #> CRS: NA #> # A tibble: 4 × 4 #> p1 p2 p3 geometry #> #> 1 0.095 0.023 0.075 (-0.5604756 0.1292877) #> 2 0.032 0.014 0.046 (-0.2301775 1.715065) #> 3 0.5 0.4 0.9 (1.558708 0.4609162) #> 4 0.924 0.919 0.977 (0.07050839 -1.265061) # plot sites' occupancy probabilities plot(x[, c(\"p1\", \"p2\", \"p3\")], pch = 16, cex = 3) # calculate scores s <- relative_site_richness_scores(x, c(\"p1\", \"p2\", \"p3\")) # print scores, # we can see that site 4 has the highest richness score print(s) #> [1] 0.04665323 0.01000000 0.62983871 1.00000000 # plot sites' richness scores x$s <- s plot(x[, c(\"s\")], pch = 16, cex = 3)"},{"path":"https://github.com/prioritizr/surveyvoi/reference/relative_site_uncertainty_scores.html","id":null,"dir":"Reference","previous_headings":"","what":"Relative site uncertainty scores — relative_site_uncertainty_scores","title":"Relative site uncertainty scores — relative_site_uncertainty_scores","text":"Calculate scores describe overall uncertainty modeled species' occupancy predictions site. Sites greater scores associated greater uncertainty. Note scores relative uncertainty values calculated using different matrices compared .","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/relative_site_uncertainty_scores.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Relative site uncertainty scores — relative_site_uncertainty_scores","text":"","code":"relative_site_uncertainty_scores(site_data, site_probability_columns)"},{"path":"https://github.com/prioritizr/surveyvoi/reference/relative_site_uncertainty_scores.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Relative site uncertainty scores — relative_site_uncertainty_scores","text":"site_data sf::sf() object site data. site_probability_columns character names numeric columns argument site_data contain modeled probabilities occupancy feature site. column correspond different feature, contain probability data (values zero one). missing (NA) values permitted columns.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/relative_site_uncertainty_scores.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Relative site uncertainty scores — relative_site_uncertainty_scores","text":"numeric vector uncertainty scores. Note values automatically rescaled 0.01 1.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/relative_site_uncertainty_scores.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Relative site uncertainty scores — relative_site_uncertainty_scores","text":"relative site uncertainty scores calculated joint Shannon's entropy statistics. Since assume species occur independently , can calculate statistics separately species site sum together statistics species site: Let \\(J\\) denote set sites (indexed \\(j\\)), \\(\\) denote set features (indexed \\(\\)), \\(x_{ij}\\) denote modeled probability feature \\(\\\\) occurring sites \\(j \\J\\). Next, calculate Shannon's entropy statistic species site: \\(y_{ij} = - \\big( (x_ij \\mathit{log}_2 x_{ij}) + (1 - x_ij \\mathit{log}_2 1 - x_{ij}) \\big) \\) Finally, sum entropy statistics together site: \\(s_{j} = \\sum_{\\} y_{ij}\\)","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/relative_site_uncertainty_scores.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Relative site uncertainty scores — relative_site_uncertainty_scores","text":"","code":"# set seed for reproducibility set.seed(123) # simulate data for 3 features and 5 sites x <- tibble::tibble(x = rnorm(5), y = rnorm(5), p1 = c(0.5, 0, 1, 0, 1), p2 = c(0.5, 0.5, 1, 0, 1), p3 = c(0.5, 0.5, 0.5, 0, 1)) x <- sf::st_as_sf(x, coords = c(\"x\", \"y\")) # print data, # we can see that site (row) 3 has the least certain predictions # because it has many values close to 0.5 print(x) #> Simple feature collection with 5 features and 3 fields #> Geometry type: POINT #> Dimension: XY #> Bounding box: xmin: -0.5604756 ymin: -1.265061 xmax: 1.558708 ymax: 1.715065 #> CRS: NA #> # A tibble: 5 × 4 #> p1 p2 p3 geometry #> #> 1 0.5 0.5 0.5 (-0.5604756 1.715065) #> 2 0 0.5 0.5 (-0.2301775 0.4609162) #> 3 1 1 0.5 (1.558708 -1.265061) #> 4 0 0 0 (0.07050839 -0.6868529) #> 5 1 1 1 (0.1292877 -0.445662) # plot sites' occupancy probabilities plot(x[, c(\"p1\", \"p2\", \"p3\")], pch = 16, cex = 3) # calculate scores s <- relative_site_uncertainty_scores(x, c(\"p1\", \"p2\", \"p3\")) # print scores, # we can see that site 3 has the highest uncertainty score print(s) #> [1] 3 2 1 0 0 # plot sites' uncertainty scores x$s <- s plot(x[, c(\"s\")], pch = 16, cex = 3)"},{"path":"https://github.com/prioritizr/surveyvoi/reference/sim_data.html","id":null,"dir":"Reference","previous_headings":"","what":"Simulated datasets — sim_data","title":"Simulated datasets — sim_data","text":"Simulated data prioritizing sites ecological surveys.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/sim_data.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Simulated datasets — sim_data","text":"","code":"data(sim_features) data(sim_sites)"},{"path":"https://github.com/prioritizr/surveyvoi/reference/sim_data.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Simulated datasets — sim_data","text":"sim_sites sf::sf() object. sim_features tibble::tibble() object. .","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/sim_data.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Simulated datasets — sim_data","text":"simulated datasets provide data six sites three features. sites can potentially acquired protected area establishment. However, existing information spatial distribution features incomplete. sites existing ecological survey data. help inform management decisions, species distribution models fitted predict probability species occupying site. sim_sites object describes sites contains following data: cost surveying sites (survey_cost column), cost acquiring sites conservation (management_cost column), results previous ecological surveys (f1, f2, f3 columns), previous survey effort (n1, n2, n3 columns), environmental conditions sites (e1, e2 columns), modeled probability features occupying sites (p1, p2, p3 columns). sim_features object describes features contains following data: name feature (name column), whether feature considered future surveys (survey column), sensitivity specificity survey methodology sensitivity specificity species distribution model feature (model_sensitivity, model_specificity columns), representation target thresholds feature (target column).","code":""},{"path":[]},{"path":"https://github.com/prioritizr/surveyvoi/reference/sim_data.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Simulated datasets — sim_data","text":"","code":"# load data data(sim_sites, sim_features) # print feature data print(sim_features, width = Inf) #> # A tibble: 3 × 7 #> name survey survey_sensitivity survey_specificity model_sensitivity #> #> 1 f1 TRUE 0.951 0.854 0.711 #> 2 f2 TRUE 0.990 0.832 0.722 #> 3 f3 TRUE 0.986 0.808 0.772 #> model_specificity target #> #> 1 0.841 2 #> 2 0.806 2 #> 3 0.871 2 # print site data print(sim_sites, width = Inf) #> Simple feature collection with 6 features and 13 fields #> Geometry type: POINT #> Dimension: XY #> Bounding box: xmin: 0.02541313 ymin: 0.07851093 xmax: 0.9888107 ymax: 0.717068 #> CRS: NA #> # A tibble: 6 × 14 #> survey_cost management_cost f1 f2 f3 n1 n2 n3 e1 e2 #> #> 1 19 99 0 0 0 0 0 0 1.13 0.535 #> 2 22 87 0 1 0.25 4 4 4 -1.37 -1.45 #> 3 13 94 1 1 0 1 1 1 0.155 -0.867 #> 4 19 61 0 0 0 0 0 0 -0.792 1.32 #> 5 9 105 0 0 0 0 0 0 -0.194 0.238 #> 6 12 136 0 0 0 0 0 0 1.07 0.220 #> p1 p2 p3 geometry #> #> 1 0.999 0.988 0.21 (0.03529733 0.544939) #> 2 0.001 0.995 0.152 (0.33276 0.3174416) #> 3 0.966 1 0.017 (0.6141922 0.07851093) #> 4 0 0 1 (0.02541313 0.1147132) #> 5 0.11 0.006 0.831 (0.9888107 0.2152785) #> 6 1 1 0.082 (0.9038749 0.717068)"},{"path":"https://github.com/prioritizr/surveyvoi/reference/simulate_feature_data.html","id":null,"dir":"Reference","previous_headings":"","what":"Simulate feature data — simulate_feature_data","title":"Simulate feature data — simulate_feature_data","text":"Simulate feature data developing simulated survey schemes.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/simulate_feature_data.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Simulate feature data — simulate_feature_data","text":"","code":"simulate_feature_data(n_features, proportion_of_survey_features = 1)"},{"path":"https://github.com/prioritizr/surveyvoi/reference/simulate_feature_data.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Simulate feature data — simulate_feature_data","text":"n_features integer number features. proportion_of_survey_features numeric proportion features examined new surveys. Values must zero one. Defaults 1 features surveyed.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/simulate_feature_data.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Simulate feature data — simulate_feature_data","text":"tibble::tibble() object. contains following data: name character name feature. survey logical (TRUE / FALSE) values indicating feature examined surveys . survey_sensitivity numeric sensitivity (true positive rate) survey methodology features. survey_specificity numeric specificity (true negative rate) survey methodology features. model_sensitivity numeric specificity (true positive rate) occupancy models features. model_specificity numeric specificity (true negative rate) occupancy models features. target numeric target values used parametrize conservation benefit managing feature (defaults 1).","code":""},{"path":[]},{"path":"https://github.com/prioritizr/surveyvoi/reference/simulate_feature_data.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Simulate feature data — simulate_feature_data","text":"","code":"# set seed for reproducibility set.seed(123) # simulate data d <- simulate_feature_data(n_features = 5, proportion_of_survey_features = 0.5) # print data print(d, width = Inf) #> # A tibble: 5 × 7 #> name survey survey_sensitivity survey_specificity model_sensitivity #> #> 1 f1 FALSE 0.952 0.896 0.790 #> 2 f2 TRUE 0.971 0.845 0.725 #> 3 f3 TRUE 0.986 0.868 0.704 #> 4 f4 FALSE 0.972 0.857 0.733 #> 5 f5 TRUE 0.968 0.810 0.795 #> model_specificity target #> #> 1 0.889 1 #> 2 0.869 1 #> 3 0.864 1 #> 4 0.899 1 #> 5 0.866 1"},{"path":"https://github.com/prioritizr/surveyvoi/reference/simulate_site_data.html","id":null,"dir":"Reference","previous_headings":"","what":"Simulate site data — simulate_site_data","title":"Simulate site data — simulate_site_data","text":"Simulate site data developing simulated survey schemes.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/simulate_site_data.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Simulate site data — simulate_site_data","text":"","code":"simulate_site_data( n_sites, n_features, proportion_of_sites_missing_data, n_env_vars = 3, survey_cost_intensity = 20, survey_cost_scale = 5, management_cost_intensity = 100, management_cost_scale = 30, max_number_surveys_per_site = 5, output_probabilities = TRUE )"},{"path":"https://github.com/prioritizr/surveyvoi/reference/simulate_site_data.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Simulate site data — simulate_site_data","text":"n_sites integer number sites. n_features integer number features. proportion_of_sites_missing_data numeric proportion sites existing presence/absence data. Values must zero one. n_env_vars integer number environmental variables simulating feature distributions. Defaults 3. survey_cost_intensity numeric intensity costs surveying sites. Larger values correspond larger costs average. Defaults 20. survey_cost_scale numeric value corresponding spatial homogeneity survey costs. Defaults 5. management_cost_intensity numeric intensity costs average cost managing sites conservation. Defaults 100. management_cost_scale numeric value corresponding spatial homogeneity survey costs. Defaults 30. max_number_surveys_per_site integer maximum number surveys per site simulated data. Defaults 5. output_probabilities logical value indicating probability values occupancy output . Defaults TRUE.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/simulate_site_data.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Simulate site data — simulate_site_data","text":"sf::sf() object site data. \"management_cost\" column contains site protection costs, \"survey_cost\" column contains costs surveying site. Additionally, columns start () \"f\" (e.g. \"f1\") contain proportion times feature detected site, (ii) \"n\" (e.g. \"n1\") contain number surveys feature within site, (iii) \"p\" (e.g. \"p1\") contain prior probability data, (iv) \"e\" (e.g. \"e1\") contain environmental data. Note columns contain integer value (excepting environmental data columns) correspond feature (e.g. \"d1\", \"n1\", \"p1\" contain data correspond feature).","code":""},{"path":[]},{"path":"https://github.com/prioritizr/surveyvoi/reference/simulate_site_data.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Simulate site data — simulate_site_data","text":"","code":"# set seed for reproducibility set.seed(123) # simulate data d <- simulate_site_data(n_sites = 10, n_features = 4, prop = 0.5) # print data print(d, width = Inf) #> Simple feature collection with 10 features and 17 fields #> Geometry type: POINT #> Dimension: XY #> Bounding box: xmin: 0.0455565 ymin: 0.04205953 xmax: 0.9404673 ymax: 0.9568333 #> CRS: NA #> # A tibble: 10 × 18 #> survey_cost management_cost f1 f2 f3 f4 n1 n2 n3 n4 #> #> 1 26 68 1 0 0 1 3 3 3 3 #> 2 22 93 0 0 0 0 0 0 0 0 #> 3 23 69 1 0 0 1 1 1 1 1 #> 4 22 78 1 0 0 1 3 3 3 3 #> 5 18 81 0 0 0 0 0 0 0 0 #> 6 30 49 0 0 1 1 2 2 2 2 #> 7 23 125 0 0 0 0 0 0 0 0 #> 8 11 103 0 0 0 0 0 0 0 0 #> 9 25 68 0 0 0 0 0 0 0 0 #> 10 21 137 1 0 0 0.4 5 5 5 5 #> e1 e2 e3 p1 p2 p3 p4 geometry #> #> 1 -0.145 -0.995 -0.223 0.998 0.004 0.091 0.993 (0.2875775 0.9568333) #> 2 0.884 0.0440 0.0843 0.949 0.113 0.074 0 (0.7883051 0.4533342) #> 3 0.794 -0.627 -0.637 0.957 0 0.134 0.993 (0.4089769 0.6775706) #> 4 0.297 -0.540 -0.402 0.929 0 0.24 0.992 (0.8830174 0.5726334) #> 5 -1.45 1.65 1.21 0 1 0.994 0 (0.9404673 0.1029247) #> 6 -1.45 -1.13 -1.22 0.024 0 0.99 1 (0.0455565 0.899825) #> 7 0.878 0.222 0.312 0.956 0.894 0.059 0 (0.5281055 0.2460877) #> 8 -1.23 1.42 2.08 0.35 1 0.555 0 (0.892419 0.04205953) #> 9 0.731 0.761 -0.990 0 0 0.991 1 (0.551435 0.3279207) #> 10 0.685 -0.814 -0.211 0.999 0 0.02 0.117 (0.4566147 0.9545036) # plot cost data plot(d[, c(\"survey_cost\", \"management_cost\")], axes = TRUE, pch = 16, cex = 2) # plot environmental data plot(d[, c(\"e1\", \"e2\", \"e3\")], axes = TRUE, pch = 16, cex = 2) # plot feature detection data plot(d[, c(\"f1\", \"f2\", \"f3\", \"f4\")], axes = TRUE, pch = 16, cex = 2) # plot feature survey effort plot(d[, c(\"n1\", \"n2\", \"n3\", \"n4\")], axes = TRUE, pch = 16, cex = 2) # plot feature prior probability data plot(d[, c(\"p1\", \"p2\", \"p3\", \"p4\")], axes = TRUE, pch = 16, cex = 2)"},{"path":"https://github.com/prioritizr/surveyvoi/reference/surveyvoi.html","id":null,"dir":"Reference","previous_headings":"","what":"surveyvoi: Survey Value of Information — surveyvoi","title":"surveyvoi: Survey Value of Information — surveyvoi","text":"Decision support tool prioritizing sites ecological surveys based potential improve plans conserving biodiversity (e.g. plans establishing protected areas). Given set sites potentially acquired conservation management – wherein sites previously surveyed sites – can used generate evaluate plans additional surveys. Specifically, plans ecological surveys can generated using various conventional approaches (e.g. maximizing expected species richness, geographic coverage, diversity sampled environmental conditions) maximizing value information. generating plans surveys, can also evaluated using value information analysis.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/surveyvoi.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"surveyvoi: Survey Value of Information — surveyvoi","text":"Please note several functions depend 'Gurobi' optimization software (available https://www.gurobi.com) gurobi R package (installation instructions available online Linux, Windows, Mac OS). Additionally, JAGS software (available https://mcmc-jags.sourceforge.io/) required fit hierarchical generalized linear models.","code":""},{"path":[]},{"path":"https://github.com/prioritizr/surveyvoi/reference/surveyvoi.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"surveyvoi: Survey Value of Information — surveyvoi","text":"Package authors: Jeffrey O. Hanson jeffrey.hanson@uqconnect.edu.au ORCID Iadine Chadès iadine.chades@csiro.au ORCID Emma J. Hudgins emma.hudgins@mail.mcgill.ca ORCID Joseph R. Bennett joseph.bennett@carleton.ca ORCID","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/weighted_survey_scheme.html","id":null,"dir":"Reference","previous_headings":"","what":"Weighted survey scheme — weighted_survey_scheme","title":"Weighted survey scheme — weighted_survey_scheme","text":"Generate survey scheme selecting set sites greatest overall weight value, maximum budget survey scheme.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/weighted_survey_scheme.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Weighted survey scheme — weighted_survey_scheme","text":"","code":"weighted_survey_scheme( site_data, cost_column, survey_budget, weight_column, locked_in_column = NULL, locked_out_column = NULL, solver = \"auto\", verbose = FALSE )"},{"path":"https://github.com/prioritizr/surveyvoi/reference/weighted_survey_scheme.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Weighted survey scheme — weighted_survey_scheme","text":"site_data sf::sf() object containing candidate survey sites. cost_column character name column argument argument site_data contains cost surveying site. missing (NA) values permitted. survey_budget numeric vector maximum budgets survey schemes. missing (NA) values permitted. weight_column character name column argument site_data weights site. locked_in_column character (optional) name column argument site_data contains logical (TRUE/ FALSE) values indicating certain sites locked survey scheme. missing (NA) values permitted. Defaults NULL sites locked . locked_out_column character (optional) name column argument site_data contains logical (TRUE/ FALSE) values indicating certain sites locked survey scheme. missing (NA) values permitted. Defaults NULL sites locked . solver character name optimization solver use generating survey schemes. Available options include: \"Rsymphony\", \"gurobi\" \"auto\". \"auto\" method use Gurobi optimization software available; otherwise, use SYMPHONY software via Rsymphony package. Defaults \"auto\". verbose logical indicating information printed generating survey scheme(s). Defaults FALSE.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/weighted_survey_scheme.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Weighted survey scheme — weighted_survey_scheme","text":"matrix logical (TRUE/ FALSE) values indicating site selected scheme . Columns correspond sites, rows correspond different schemes.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/weighted_survey_scheme.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Weighted survey scheme — weighted_survey_scheme","text":"Let \\(J\\) denote set sites (indexed \\(j\\)), let \\(b\\) denote maximum budget available surveying sites. Next, let \\(c_j\\) represent cost surveying site \\(j \\J\\), \\(w_j\\) denote relative value (weight) surveying site \\(j \\J\\). set sites greatest overall weight values, subject given budget can identified solving following integer programming problem. , \\(x_j\\) binary decision variable indicating site selected survey scheme . $$\\mathit{Maximize} \\space \\sum_{j \\J} x_j w_i \\\\ \\mathit{subject \\space } \\\\ \\sum_{j \\J} x_j c_j \\leq b$$","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/weighted_survey_scheme.html","id":"solver","dir":"Reference","previous_headings":"","what":"Solver","title":"Weighted survey scheme — weighted_survey_scheme","text":"function can use Rsymphony package Gurobi optimization software generate survey schemes. Although Rsymphony package easier install freely available Comprehensive R Archive Network (CRAN), strongly recommended install Gurobi optimization software gurobi R package can generate survey schemes much faster. Note special academic licenses available cost. Installation instructions available online Linux, Windows, Mac OS operating systems.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/reference/weighted_survey_scheme.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Weighted survey scheme — weighted_survey_scheme","text":"","code":"# set seed for reproducibility set.seed(123) # simulate data x <- sf::st_as_sf( tibble::tibble(x = rnorm(4), y = rnorm(4), w = c(0.01, 10, 8, 1), cost = c(1, 1, 1, 1)), coords = c(\"x\", \"y\")) # plot site' locations and color by weight values plot(x[, \"w\"], pch = 16, cex = 3) # generate scheme without any sites locked in s <- weighted_survey_scheme(x, cost_column = \"cost\", survey_budget = 2, weight_column = \"w\") # print solution print(s) #> [,1] [,2] [,3] [,4] #> [1,] FALSE TRUE TRUE FALSE # plot solution x$s <- c(s) plot(x[, \"s\"], pch = 16, cex = 3)"},{"path":"https://github.com/prioritizr/surveyvoi/news/index.html","id":"surveyvoi-1102","dir":"Changelog","previous_headings":"","what":"surveyvoi 1.1.0.2","title":"surveyvoi 1.1.0.2","text":"Fix bug fit_xgb_occupancy_models() caused error model fitting due failed predictions. Fix package citation.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/news/index.html","id":"surveyvoi-1101","dir":"Changelog","previous_headings":"","what":"surveyvoi 1.1.0.1","title":"surveyvoi 1.1.0.1","text":"Fix bug greedy_heuristic_algorithm() function returns solution possible select enough planning units meet target species. Instead throwing error, now throw warning return solution containing cheapest set planning units within budget locked constraints. Note solution objective value zero, zero probability meeting species’ targets.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/news/index.html","id":"surveyvoi-1100","dir":"Changelog","previous_headings":"","what":"surveyvoi 1.1.0.0","title":"surveyvoi 1.1.0.0","text":"New greedy_heuristic_algorithm() function can used generate reserve selection prioritizations. function provides access internal algorithm used reserve selection component value information calculations. Update internal greedy reserve selection algorithm find better quality prioritizations. impacts approx_near_optimal_survey_scheme(), approx_optimal_survey_scheme(), optimal_survey_scheme(), approx_evdsi(), evdsi(), evdci(). Update sim_sites sim_features example datasets. Fix bug approx_near_optimal_survey_scheme(), approx_optimal_survey_scheme(), optimal_survey_scheme(), approx_evdsi(), evdsi(), evdci() species incorrectly assigned target first species calculations.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/news/index.html","id":"surveyvoi-106","dir":"Changelog","previous_headings":"","what":"surveyvoi 1.0.6","title":"surveyvoi 1.0.6","text":"CRAN release: 2024-02-16 Fix installation Windows arm64 (#50). Fix aliasing package overview help file (#49). Remove CXX specification Makevars avoid NOTEs package checks.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/news/index.html","id":"surveyvoi-1051","dir":"Changelog","previous_headings":"","what":"surveyvoi 1.0.5.1","title":"surveyvoi 1.0.5.1","text":"Update citation.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/news/index.html","id":"surveyvoi-105","dir":"Changelog","previous_headings":"","what":"surveyvoi 1.0.5","title":"surveyvoi 1.0.5","text":"CRAN release: 2022-09-17 CRAN release. Skip tests Fedora systems unable reproduce error CRAN. Fix compiler warning thrown installation. Fix compatibility issues upcoming Matrix package (version >= 1.4-2) . Fix issues unloading package properly. Update citation information README.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/news/index.html","id":"surveyvoi-104","dir":"Changelog","previous_headings":"","what":"surveyvoi 1.0.4","title":"surveyvoi 1.0.4","text":"CRAN release: 2022-08-26 CRAN release.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/news/index.html","id":"surveyvoi-10312","dir":"Changelog","previous_headings":"","what":"surveyvoi 1.0.3.12","title":"surveyvoi 1.0.3.12","text":"Update CRAN comments document remove pkg-config system requirements. Fix compiler warning thrown installation.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/news/index.html","id":"surveyvoi-10311","dir":"Changelog","previous_headings":"","what":"surveyvoi 1.0.3.11","title":"surveyvoi 1.0.3.11","text":"Update simulate_site_data() function remove RandomFields package dependency.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/news/index.html","id":"surveyvoi-10310","dir":"Changelog","previous_headings":"","what":"surveyvoi 1.0.3.10","title":"surveyvoi 1.0.3.10","text":"Fix CRAN note utils package dependency. Skip unit tests require RandomFields package Windows avoid spurious failures.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/news/index.html","id":"surveyvoi-1039","dir":"Changelog","previous_headings":"","what":"surveyvoi 1.0.3.9","title":"surveyvoi 1.0.3.9","text":"Update documentation new code repository location. Add remote RandomFields package facilitate installation.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/news/index.html","id":"surveyvoi-1038","dir":"Changelog","previous_headings":"","what":"surveyvoi 1.0.3.8","title":"surveyvoi 1.0.3.8","text":"Standardize spelling (en-US).","code":""},{"path":"https://github.com/prioritizr/surveyvoi/news/index.html","id":"surveyvoi-1037","dir":"Changelog","previous_headings":"","what":"surveyvoi 1.0.3.7","title":"surveyvoi 1.0.3.7","text":"Tweak package documentation. RandomFields package now optional dependency.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/news/index.html","id":"surveyvoi-1036","dir":"Changelog","previous_headings":"","what":"surveyvoi 1.0.3.6","title":"surveyvoi 1.0.3.6","text":"Update README system requirements PoissonBinomial package (#42).","code":""},{"path":"https://github.com/prioritizr/surveyvoi/news/index.html","id":"surveyvoi-1035","dir":"Changelog","previous_headings":"","what":"surveyvoi 1.0.3.5","title":"surveyvoi 1.0.3.5","text":"Autoconf used installation Linux macOS operating systems.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/news/index.html","id":"surveyvoi-1034","dir":"Changelog","previous_headings":"","what":"surveyvoi 1.0.3.4","title":"surveyvoi 1.0.3.4","text":"Update prior_probability_matrix() compute prior probabilities existing survey data available.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/news/index.html","id":"surveyvoi-1033","dir":"Changelog","previous_headings":"","what":"surveyvoi 1.0.3.3","title":"surveyvoi 1.0.3.3","text":"Fix issue fit_xgb_occupancy_models() using specified number threads parallel processing. Ensure PSOCK FORK clusters used parallel processing terminated correctly, even processing interrupted.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/news/index.html","id":"surveyvoi-1032","dir":"Changelog","previous_headings":"","what":"surveyvoi 1.0.3.2","title":"surveyvoi 1.0.3.2","text":"Fix compatibility issues updated xgboost package (version 1.5.0). Fix parallel processing tests given updates testthat package (version 3.1.2). Fix tests environmental geographic survey schemes given updates gurobi package (version 9.5.0).","code":""},{"path":"https://github.com/prioritizr/surveyvoi/news/index.html","id":"surveyvoi-1031","dir":"Changelog","previous_headings":"","what":"surveyvoi 1.0.3.1","title":"surveyvoi 1.0.3.1","text":"GMP dependencies Windows systems now handled using RWinLib (see https://github.com/rwinlib/gmp). Package configuration now reports compilation variables (.e. PKG_CPPFLAGS PKG_LIBS variables). Free Software Foundation longer listed contributor copyright holder GMP source files longer distributed package (GMP dependencies obtained via RWinLib). Configuration variables can now (optionally) used specify location GMP MPFR dependencies package installation (.e. GMP_INCLUDE_DIR, GMP_LIB_DIR, MPFR_INCLUDE_DIR MPFR_LIB_DIR). Although package configuration routine attempts deduce variables automatically, variables can used installation default settings fails. example, variables can set using following system command:","code":"R CMD INSTALL --configure-vars='GMP_INCLUDE_DIR=... GMP_LIB_DIR=... MPFR_INCLUDE_DIR=... MPFR_LIB_DIR=...'"},{"path":"https://github.com/prioritizr/surveyvoi/news/index.html","id":"surveyvoi-103","dir":"Changelog","previous_headings":"","what":"surveyvoi 1.0.3","title":"surveyvoi 1.0.3","text":"CRAN release: 2021-05-31 CRAN release. Fix issue missing gmpxx file. Remove unused dependencies.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/news/index.html","id":"surveyvoi-102","dir":"Changelog","previous_headings":"","what":"surveyvoi 1.0.2","title":"surveyvoi 1.0.2","text":"CRAN release: 2021-05-27 CRAN release. Update CRAN comments. Update examples. Improve documentation functions depend external software.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/news/index.html","id":"surveyvoi-101","dir":"Changelog","previous_headings":"","what":"surveyvoi 1.0.1","title":"surveyvoi 1.0.1","text":"Fix typos documentation (#38). Add details tuning xgboost models documentation (#39).","code":""},{"path":"https://github.com/prioritizr/surveyvoi/news/index.html","id":"surveyvoi-100","dir":"Changelog","previous_headings":"","what":"surveyvoi 1.0.0","title":"surveyvoi 1.0.0","text":"Refactor official release. Add support generating surveys Rsymphony package.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/news/index.html","id":"surveyvoi-0076","dir":"Changelog","previous_headings":"","what":"surveyvoi 0.0.76","title":"surveyvoi 0.0.76","text":"functions appear work.","code":""},{"path":"https://github.com/prioritizr/surveyvoi/news/index.html","id":"surveyvoi-001","dir":"Changelog","previous_headings":"","what":"surveyvoi 0.0.1","title":"surveyvoi 0.0.1","text":"Initial commit.","code":""}] diff --git a/docs/sitemap.xml b/docs/sitemap.xml index e6bf714..541256f 100644 --- a/docs/sitemap.xml +++ b/docs/sitemap.xml @@ -1,87 +1,31 @@ - - - - https://github.com/prioritizr/surveyvoi/404.html - - - https://github.com/prioritizr/surveyvoi/articles/index.html - - - https://github.com/prioritizr/surveyvoi/articles/surveyvoi.html - - - https://github.com/prioritizr/surveyvoi/authors.html - - - https://github.com/prioritizr/surveyvoi/index.html - - - https://github.com/prioritizr/surveyvoi/news/index.html - 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title = "wdpar: Interface to the World Database on Protected Areas", + title = "Optimizing ecological surveys for conservation", author = c( person(c("Jeffrey", "O"), "Hanson"), person(c("Jenny", "L"), "McCune"), diff --git a/inst/URLLIST b/inst/URLLIST new file mode 100644 index 0000000..0ad0c3e --- /dev/null +++ b/inst/URLLIST @@ -0,0 +1,2 @@ +https://support.gurobi.com/hc/en-us/articles/4534161999889-How-do-I-install-Gurobi-Optimizer +https://doi.org/10.1111/1365-2664.14309 diff --git a/inst/doc/surveyvoi.html b/inst/doc/surveyvoi.html index 672f5bf..77cffac 100644 --- a/inst/doc/surveyvoi.html +++ b/inst/doc/surveyvoi.html @@ -12,34 +12,46 @@ - + surveyvoi: Survey Value of Information - + +code{white-space: pre-wrap;} +span.smallcaps{font-variant: small-caps;} +span.underline{text-decoration: underline;} +div.column{display: inline-block; vertical-align: top; width: 50%;} +div.hanging-indent{margin-left: 1.5em; text-indent: -1.5em;} +ul.task-list{list-style: none;} +