From af3ad65ab4cc4508f08135c59fe2a87a4ffd5144 Mon Sep 17 00:00:00 2001 From: Mike McCann Date: Wed, 4 Jun 2025 15:53:11 -0700 Subject: [PATCH 01/66] Initial uv pyproject.toml and uv.lock files. --- pyproject.toml | 152 +----- uv.lock | 1256 ++++++++++++++++++++++++++++++++++++++++++++++++ 2 files changed, 1277 insertions(+), 131 deletions(-) create mode 100644 uv.lock diff --git a/pyproject.toml b/pyproject.toml index 8edee366..14622987 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,136 +1,26 @@ -[tool.poetry] +[project] name = "auv-python" version = "0.1.0" -description = "Python code for processing MBARI AUV instrument data" -package-mode = false - -license = "MIT" - -authors = [ - "Mike McCann " -] - -readme = 'README.md' # Markdown files are supported - -repository = "https://github.com/mbari-org/auv-python" -homepage = "https://github.com/mbari-org/auv-python" - -keywords = ['auv', 'dorado', 'oceanograpy', 'dataprocessing'] - -[tool.poetry.dependencies] -# On mac: sudo port install python310 && sudo port select --set python3 python310 && sudo port select --set python python310 -# pip uninstall xattr && pip install xattr, see: -# https://github.com/python-poetry/poetry/issues/6891#issuecomment-1343047469 -# (Attempted updates to python311 & python312: 'poetry install' fails with installing llvmlite - Jan 2024) -python = "3.10.*" -toml = "^0.9" -# Dependencies with extras -aiohttp = "^3.7.4" -altair = "^4.1.0" -cf-xarray = "^0.8.4" -coards = "^1.0.5" -hvplot = "^0.9.0" -mkdocs = "^1.2.3" -nc-time-axis = "^1.3.1" -netCDF4 = "^1.5.7" -pytest = "^6.2.5" -seawater = "^3.3.4" -black = "^22.3.0" -ipympl = "^0.9.1" -GitPython = "^3.1.29" -pyarrow = "^14.0.1" -datashader = "^0.15.2" -rolling = "^0.3.0" -pysolar = "^0.10" -pooch = "^1.7.0" -statsmodels = "^0.13.5" -pyproj = "^3.5.0" -jupyter = "^1.0.0" -cmocean = "^3.0.3" -ruff = "^0.9.8" -pre-commit = "^4.1.0" -lzstring = "^1.0.4" -aiofiles = "^24.1.0" - - -[tool.poetry.dev-dependencies] -pytest = "^6.0" 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"https://files.pythonhosted.org/packages/ea/1f/70c57b3d7278e94ed22d85e09685d3f0a38ebdd8c5c73b65ba4c0d0fe002/yarl-1.20.0-py3-none-any.whl", hash = "sha256:5d0fe6af927a47a230f31e6004621fd0959eaa915fc62acfafa67ff7229a3124", size = 46124 }, +] From fd846694c3c59d7bd28d712d2c24b261fb48fac8 Mon Sep 17 00:00:00 2001 From: Mike McCann Date: Wed, 4 Jun 2025 15:55:33 -0700 Subject: [PATCH 02/66] Pass lower() case 'S' to Pandas in anticipation of future warning. --- src/data/resample.py | 159 ++++++++++++++++++++++++++++++++----------- 1 file changed, 121 insertions(+), 38 deletions(-) diff --git a/src/data/resample.py b/src/data/resample.py index c3a30a35..4210f0f1 100755 --- a/src/data/resample.py +++ b/src/data/resample.py @@ -307,13 +307,22 @@ def resample_coordinates(self, instr: str, mf_width: int, freq: str) -> None: # (at least in November 2020) # and we want to use the same pitch corrected depth for all of them. self.df_r["depth"] = ( - self.df_o[f"{instr}_depth_mf"].shift(0.5, freq=freq).resample(freq).mean() + self.df_o[f"{instr}_depth_mf"] + .shift(0.5, freq=freq.lower()) + .resample(freq) + .mean() ) self.df_r["latitude"] = ( - self.df_o[f"{instr}_latitude_mf"].shift(0.5, freq=freq).resample(freq).mean() + self.df_o[f"{instr}_latitude_mf"] + .shift(0.5, freq=freq.lower()) + .resample(freq) + .mean() ) self.df_r["longitude"] = ( - self.df_o[f"{instr}_longitude_mf"].shift(0.5, freq=freq).resample(freq).mean() + self.df_o[f"{instr}_longitude_mf"] + .shift(0.5, freq=freq.lower()) + .resample(freq) + .mean() ) return aggregator @@ -380,7 +389,9 @@ def select_nighttime_bl_raw( # Find sunset and sunrise - where sun altitude changes sign sign_changes = np.where(np.diff(np.sign(sun_alts)))[0] ss_sr_times = ( - self.ds["navigation_time"].isel({"navigation_time": sign_changes * stride}).to_numpy() + self.ds["navigation_time"] + .isel({"navigation_time": sign_changes * stride}) + .to_numpy() ) self.logger.debug("Sunset and sunrise times: %s", ss_sr_times) @@ -391,7 +402,9 @@ def select_nighttime_bl_raw( # Iterate over sunset and sunrise pairs for i in range(0, len(ss_sr_times) - 1, 2): sunset = ss_sr_times[i] + pd.to_timedelta(1, "h") # 1 hour past sunset - sunrise = ss_sr_times[i + 1] - pd.to_timedelta(1, "h") # 1 hour before sunrise + sunrise = ss_sr_times[i + 1] - pd.to_timedelta( + 1, "h" + ) # 1 hour before sunrise sunsets.append(sunset) sunrises.append(sunrise) @@ -415,7 +428,9 @@ def select_nighttime_bl_raw( if nighttime_data.empty else nighttime_data.copy() if nighttime_bl_raw.empty - else pd.concat([nighttime_bl_raw, nighttime_data]) # if both DataFrames non empty + else pd.concat( + [nighttime_bl_raw, nighttime_data] + ) # if both DataFrames non empty ) if not sunsets or not sunrises: @@ -455,7 +470,9 @@ def add_profile(self, depth_threshold: float = 15) -> None: coords=[self.resampled_nc["time"].to_numpy()], name="profile_number", ) - self.resampled_nc["profile_number"].attrs["coordinates"] = "time depth latitude longitude" + self.resampled_nc["profile_number"].attrs["coordinates"] = ( + "time depth latitude longitude" + ) self.resampled_nc["profile_number"].attrs = { "long_name": "Profile number", } @@ -551,7 +568,9 @@ def add_biolume_proxies( # noqa: PLR0913, PLR0915 center=True, ).min() min_bg = ( - min_bg_unsmoothed.rolling(window_size, min_periods=0, center=True).mean().to_numpy() + min_bg_unsmoothed.rolling(window_size, min_periods=0, center=True) + .mean() + .to_numpy() ) self.logger.debug("Applying rolling median filter") @@ -578,7 +597,9 @@ def add_biolume_proxies( # noqa: PLR0913, PLR0915 self.logger.debug("Finding peaks") peaks, _ = signal.find_peaks(s_biolume_raw, height=max_bg) s_peaks = pd.Series(s_biolume_raw.iloc[peaks], index=s_biolume_raw.index[peaks]) - s_med_bg_peaks = pd.Series(s_med_bg.iloc[peaks], index=s_biolume_raw.index[peaks]) + s_med_bg_peaks = pd.Series( + s_med_bg.iloc[peaks], index=s_biolume_raw.index[peaks] + ) if self.args.flash_threshold: flash_threshold = self.args.flash_threshold flash_threshold_note = f"Computed with flash_threshold = {flash_threshold:.0e}" @@ -595,7 +616,9 @@ def add_biolume_proxies( # noqa: PLR0913, PLR0915 # Count the number of flashes per second - use 15 second window stepping every second flash_count_seconds = 15 flash_window = flash_count_seconds * sample_rate - self.logger.debug("Counting flashes using %d second window", flash_count_seconds) + self.logger.debug( + "Counting flashes using %d second window", flash_count_seconds + ) nbflash_high_counts = ( s_nbflash_high.rolling(flash_window, step=1, min_periods=0, center=True) .count() @@ -611,15 +634,19 @@ def add_biolume_proxies( # noqa: PLR0913, PLR0915 / flash_count_seconds ) - flow = self.ds[["biolume_flow"]]["biolume_flow"].to_pandas().resample("1S").mean().ffill() + flow = ( + self.ds[["biolume_flow"]]["biolume_flow"] + .to_pandas() + .resample("1S") + .mean() + .ffill() + ) # Flow sensor is not always on, so fill in 0.0 values with 350 ml/s zero_note = "" num_zero_flow = len(np.where(flow == 0)[0]) if num_zero_flow > 0: - zero_note = ( - f"Zero flow values found: {num_zero_flow} of {len(flow)} - replaced with 350 ml/s" - ) + zero_note = f"Zero flow values found: {num_zero_flow} of {len(flow)} - replaced with 350 ml/s" self.logger.info(zero_note) flow = flow.replace(0.0, 350.0) @@ -631,14 +658,18 @@ def add_biolume_proxies( # noqa: PLR0913, PLR0915 "High intensity flashes (copepods proxy)" ) self.df_r["biolume_nbflash_high"].attrs["units"] = "flashes/liter" - self.df_r["biolume_nbflash_high"].attrs["comment"] = f"{zero_note} - {flash_threshold_note}" + self.df_r["biolume_nbflash_high"].attrs["comment"] = ( + f"{zero_note} - {flash_threshold_note}" + ) self.df_r["biolume_nbflash_low"] = nbflash_low_counts.divide(flow) * 1000 self.df_r["biolume_nbflash_low"].attrs["long_name"] = ( "Low intensity flashes (Larvacean proxy)" ) self.df_r["biolume_nbflash_low"].attrs["units"] = "flashes/liter" - self.df_r["biolume_nbflash_low"].attrs["comment"] = f"{zero_note} - {flash_threshold_note}" + self.df_r["biolume_nbflash_low"].attrs["comment"] = ( + f"{zero_note} - {flash_threshold_note}" + ) # Flash intensity in ph/s - proxy for small jellies - for entire mission, not just nightime all_raw = self.ds[["biolume_raw"]]["biolume_raw"].to_pandas() @@ -657,7 +688,9 @@ def add_biolume_proxies( # noqa: PLR0913, PLR0915 "Saving flash intensity: biolume_intflash - the upper bound of the background envelope", ) self.df_r["biolume_intflash"] = intflash - self.df_r["biolume_intflash"].attrs["long_name"] = "Flashes intensity (small jellies proxy)" + self.df_r["biolume_intflash"].attrs["long_name"] = ( + "Flashes intensity (small jellies proxy)" + ) self.df_r["biolume_intflash"].attrs["units"] = "photons/s" self.df_r["biolume_intflash"].attrs["comment"] = ( f" intensity of flashes from {sample_rate} Hz biolume_raw variable in {freq} intervals." @@ -669,7 +702,9 @@ def add_biolume_proxies( # noqa: PLR0913, PLR0915 min_periods=0, center=True, ).mean() - bg_biolume = pd.Series(s_min_bg, index=s_biolume_raw.index).resample("1S").mean() + bg_biolume = ( + pd.Series(s_min_bg, index=s_biolume_raw.index).resample("1S").mean() + ) self.logger.info("Saving Background bioluminescence (dinoflagellates proxy)") self.df_r["biolume_bg_biolume"] = bg_biolume.divide(flow) * 1000 self.df_r["biolume_bg_biolume"].attrs["long_name"] = ( @@ -765,7 +800,11 @@ def correct_biolume_proxies( # noqa: PLR0913, PLR0915 depth_series = self.resampled_nc["depth"].to_series() # df_p["depth"] = depth_series.reindex(df_p.index, method="ffill") df_p = pd.merge_asof( - df_p, depth_series.to_frame(), left_index=True, right_index=True, direction="nearest" + df_p, + depth_series.to_frame(), + left_index=True, + right_index=True, + direction="nearest", ) self.logger.info( @@ -779,7 +818,11 @@ def correct_biolume_proxies( # noqa: PLR0913, PLR0915 profile_series = self.resampled_nc["profile_number"].to_series() # df_p["profile_number"] = profile_series.reindex(df_p.index, method="ffill") df_p = pd.merge_asof( - df_p, profile_series.to_frame(), left_index=True, right_index=True, direction="nearest" + df_p, + profile_series.to_frame(), + left_index=True, + right_index=True, + direction="nearest", ) self.logger.info( @@ -808,25 +851,35 @@ def _interval_contains_sunevent( biolume_sunrises = pd.DatetimeIndex(biolume_sunrises).sort_values() profile_intervals = ( df_p.groupby("profile_number") - .apply(lambda g: (g.index.min(), g.index.max())) # pandas2.2.3: include_groups=False + .apply( + lambda g: (g.index.min(), g.index.max()) + ) # pandas2.2.3: include_groups=False .rename("interval") .apply(pd.Series) .rename(columns={0: "start", 1: "end"}) ) profile_intervals["has_sunset"] = profile_intervals.apply( - lambda row: _interval_contains_sunevent(row["start"], row["end"], biolume_sunsets), + lambda row: _interval_contains_sunevent( + row["start"], row["end"], biolume_sunsets + ), axis=1, ) profile_intervals["has_sunrise"] = profile_intervals.apply( - lambda row: _interval_contains_sunevent(row["start"], row["end"], biolume_sunrises), + lambda row: _interval_contains_sunevent( + row["start"], row["end"], biolume_sunrises + ), axis=1, ) profile_intervals["has_sunevent"] = ( profile_intervals["has_sunrise"] | profile_intervals["has_sunset"] ) df_p["has_sunset"] = df_p["profile_number"].map(profile_intervals["has_sunset"]) - df_p["has_sunrise"] = df_p["profile_number"].map(profile_intervals["has_sunrise"]) - df_p["has_sunevent"] = df_p["profile_number"].map(profile_intervals["has_sunevent"]) + df_p["has_sunrise"] = df_p["profile_number"].map( + profile_intervals["has_sunrise"] + ) + df_p["has_sunevent"] = df_p["profile_number"].map( + profile_intervals["has_sunevent"] + ) # compute correlation per profil and then correct proxies profil = df_p.profile_number @@ -865,7 +918,9 @@ def _interval_contains_sunevent( np.sum(auv_profil.biolume_proxy_adinos > adinos_threshold) < correction_threshold ): - if auv_profil.biolume_proxy_adinos.count() == 0: # all proxies are NaN so skip + if ( + auv_profil.biolume_proxy_adinos.count() == 0 + ): # all proxies are NaN so skip self.logger.info( "Correcting proxies: valid adinos=%d < thresh=%d -- all NaN so skip", np.sum(auv_profil.biolume_proxy_adinos > adinos_threshold), @@ -925,7 +980,8 @@ def _interval_contains_sunevent( # then scale between fluo_bl_threshold and 1 fluoBL_correctionfactor = ( - fluoBL_correctionfactor * (1.0 - fluo_bl_threshold) + fluo_bl_threshold + fluoBL_correctionfactor * (1.0 - fluo_bl_threshold) + + fluo_bl_threshold ) # can happen if fluo_bl_threshold is negative @@ -950,9 +1006,15 @@ def _interval_contains_sunevent( ) target_indices = df_p.index[iprofil] - self.df_r.loc[target_indices, "biolume_proxy_adinos"] = df_p.adinosN.loc[iprofil] - self.df_r.loc[target_indices, "biolume_proxy_diatoms"] = df_p.diatomsN.loc[iprofil] - self.df_r.loc[target_indices, "biolume_proxy_hdinos"] = df_p.hdinosN.loc[iprofil] + self.df_r.loc[target_indices, "biolume_proxy_adinos"] = ( + df_p.adinosN.loc[iprofil] + ) + self.df_r.loc[target_indices, "biolume_proxy_diatoms"] = ( + df_p.diatomsN.loc[iprofil] + ) + self.df_r.loc[target_indices, "biolume_proxy_hdinos"] = ( + df_p.hdinosN.loc[iprofil] + ) else: self.logger.info( "profile=%d skipped for proxy correction", @@ -973,15 +1035,24 @@ def resample_variable( # noqa: PLR0913 if instr == "biolume" and variable == "biolume_raw": # Only biolume_avg_biolume and biolume_flow treated like other data # All other biolume variables in self.df_r[] are computed from biolume_raw - proxy_cal_factor, proxy_ratio_adinos = self.set_proxy_parameters(mission_start) + proxy_cal_factor, proxy_ratio_adinos = self.set_proxy_parameters( + mission_start + ) biolume_fluo, biolume_sunsets, biolume_sunrises = self.add_biolume_proxies( - freq=freq, proxy_cal_factor=proxy_cal_factor, proxy_ratio_adinos=proxy_ratio_adinos + freq=freq, + proxy_cal_factor=proxy_cal_factor, + proxy_ratio_adinos=proxy_ratio_adinos, + ) + self.correct_biolume_proxies( + biolume_fluo, biolume_sunsets, biolume_sunrises ) - self.correct_biolume_proxies(biolume_fluo, biolume_sunsets, biolume_sunrises) else: self.df_o[variable] = self.ds[variable].to_pandas() self.df_o[f"{variable}_mf"] = ( - self.ds[variable].rolling(**{timevar: mf_width}, center=True).median().to_pandas() + self.ds[variable] + .rolling(**{timevar: mf_width}, center=True) + .median() + .to_pandas() ) # Resample to center of freq https://stackoverflow.com/a/69945592/1281657 self.logger.info( @@ -998,11 +1069,19 @@ def resample_variable( # noqa: PLR0913 ) dt_index = pd.date_range(mission_start, mission_end, freq=freq) self.df_r[variable] = pd.Series(np.NaN, index=dt_index) - instr_data = self.df_o[f"{variable}_mf"].shift(0.5, freq=freq).resample(freq).mean() + instr_data = ( + self.df_o[f"{variable}_mf"] + .shift(0.5, freq=freq.lower()) + .resample(freq) + .mean() + ) self.df_r[variable].loc[instr_data.index] = instr_data else: self.df_r[variable] = ( - self.df_o[f"{variable}_mf"].shift(0.5, freq=freq).resample(freq).mean() + self.df_o[f"{variable}_mf"] + .shift(0.5, freq=freq.lower()) + .resample(freq) + .mean() ) return ".mean() aggregator" @@ -1085,8 +1164,12 @@ def get_mission_start_end( instrs_to_pad = {} for instr in self.instruments_variables(nc_file): time_coord = f"{instr}_{TIME}" - mission_start = min(pd.to_datetime(self.ds[time_coord].min().values), mission_start) - mission_end = max(pd.to_datetime(self.ds[time_coord].max().values), mission_end) + mission_start = min( + pd.to_datetime(self.ds[time_coord].min().values), mission_start + ) + mission_end = max( + pd.to_datetime(self.ds[time_coord].max().values), mission_end + ) for instr in self.instruments_variables(nc_file): time_coord = f"{instr}_{TIME}" duration = mission_end - pd.to_datetime(self.ds[time_coord].max().values) From 1c7e65e99145bc5de1f6a58ecc2db21590bc81e4 Mon Sep 17 00:00:00 2001 From: Mike McCann Date: Wed, 4 Jun 2025 16:14:36 -0700 Subject: [PATCH 03/66] Bypass numpy.core._exceptions not being found until we can figure out how to trap this in newer versions of numpy. --- src/data/align.py | 74 ++++++++++++++++++++++++++++++++++++----------- 1 file changed, 57 insertions(+), 17 deletions(-) diff --git a/src/data/align.py b/src/data/align.py index b293937f..884fa727 100755 --- a/src/data/align.py +++ b/src/data/align.py @@ -26,8 +26,14 @@ import numpy as np import pandas as pd import xarray as xr -from logs2netcdfs import BASE_PATH, MISSIONNETCDFS, SUMMARY_SOURCE, TIME, TIME60HZ, AUV_NetCDF -from numpy.core._exceptions import UFuncTypeError +from logs2netcdfs import ( + BASE_PATH, + MISSIONNETCDFS, + SUMMARY_SOURCE, + TIME, + TIME60HZ, + AUV_NetCDF, +) from scipy.interpolate import interp1d @@ -82,9 +88,13 @@ def global_metadata(self): metadata["geospatial_lat_max"] = self.max_lat metadata["geospatial_lon_min"] = self.min_lon metadata["geospatial_lon_max"] = self.max_lon - metadata["distribution_statement"] = "Any use requires prior approval from MBARI" + metadata["distribution_statement"] = ( + "Any use requires prior approval from MBARI" + ) metadata["license"] = metadata["distribution_statement"] - metadata["useconst"] = "Not intended for legal use. Data may contain inaccuracies." + metadata["useconst"] = ( + "Not intended for legal use. Data may contain inaccuracies." + ) metadata["history"] = f"Created by {self.commandline} on {iso_now}" metadata["title"] = ( @@ -163,7 +173,10 @@ def process_cal(self, vehicle: str = "", name: str = "") -> None: # noqa: C901, # values outside the range of the pitch values. try: lat_interp = interp1d( - self.calibrated_nc["nudged_latitude"].get_index("time").view(np.int64).tolist(), + self.calibrated_nc["nudged_latitude"] + .get_index("time") + .view(np.int64) + .tolist(), self.calibrated_nc["nudged_latitude"].values, fill_value=( self.calibrated_nc["nudged_latitude"][0], @@ -175,7 +188,10 @@ def process_cal(self, vehicle: str = "", name: str = "") -> None: # noqa: C901, error_message = f"No nudged_latitude data in {in_fn}" raise InvalidCalFile(error_message) from None lon_interp = interp1d( - self.calibrated_nc["nudged_longitude"].get_index("time").view(np.int64).tolist(), + self.calibrated_nc["nudged_longitude"] + .get_index("time") + .view(np.int64) + .tolist(), self.calibrated_nc["nudged_longitude"].values, fill_value=( self.calibrated_nc["nudged_longitude"][0], @@ -189,7 +205,10 @@ def process_cal(self, vehicle: str = "", name: str = "") -> None: # noqa: C901, timevar = f"{instr}_{TIME60HZ}" try: depth_interp = interp1d( - self.calibrated_nc[f"{instr}_depth"].get_index(timevar).view(np.int64).tolist(), + self.calibrated_nc[f"{instr}_depth"] + .get_index(timevar) + .view(np.int64) + .tolist(), self.calibrated_nc[f"{instr}_depth"].values, fill_value=( self.calibrated_nc[f"{instr}_depth"][0], @@ -221,17 +240,24 @@ def process_cal(self, vehicle: str = "", name: str = "") -> None: # noqa: C901, error_message = "Cannot interpolate depth" raise InvalidCalFile(error_message) from e - var_time = self.aligned_nc[variable].get_index(timevar).view(np.int64).tolist() + var_time = ( + self.aligned_nc[variable].get_index(timevar).view(np.int64).tolist() + ) # Create new DataArrays of all the variables, including "aligned" # (interpolated) depth, latitude, and longitude coordinates. # Use attributes from the calibrated data. try: sample_rate = np.round( - 1.0 / (np.mean(np.diff(self.calibrated_nc[timevar])) / np.timedelta64(1, "s")), + 1.0 + / ( + np.mean(np.diff(self.calibrated_nc[timevar])) + / np.timedelta64(1, "s") + ), decimals=2, ) - except UFuncTypeError as e: + except TypeError as e: + # Code to catch UFuncTypeError, which used to be imported from numpy.core._exceptions # Seen in dorado 2008.010.10 - caused by time variable missing from lopc.nc self.logger.warning("UFuncTypeError: %s", e) self.logger.debug( @@ -268,7 +294,9 @@ def process_cal(self, vehicle: str = "", name: str = "") -> None: # noqa: C901, name=f"{instr}_depth", ) try: - self.aligned_nc[f"{instr}_depth"].attrs = self.calibrated_nc[f"{instr}_depth"].attrs + self.aligned_nc[f"{instr}_depth"].attrs = self.calibrated_nc[ + f"{instr}_depth" + ].attrs except KeyError: self.logger.debug( "%s: %s_depth not found in %s", @@ -277,7 +305,9 @@ def process_cal(self, vehicle: str = "", name: str = "") -> None: # noqa: C901, self.calibrated_nc, ) self.aligned_nc[f"{instr}_depth"].attrs["long_name"] = "Depth" - self.aligned_nc[f"{instr}_depth"].attrs["instrument_sample_rate_hz"] = sample_rate + self.aligned_nc[f"{instr}_depth"].attrs["instrument_sample_rate_hz"] = ( + sample_rate + ) self.aligned_nc[f"{instr}_latitude"] = xr.DataArray( lat_interp(var_time).astype(np.float64).tolist(), @@ -285,13 +315,17 @@ def process_cal(self, vehicle: str = "", name: str = "") -> None: # noqa: C901, coords=[self.calibrated_nc[variable].get_index(timevar)], name=f"{instr}_latitude", ) - self.aligned_nc[f"{instr}_latitude"].attrs = self.calibrated_nc["nudged_latitude"].attrs + self.aligned_nc[f"{instr}_latitude"].attrs = self.calibrated_nc[ + "nudged_latitude" + ].attrs self.aligned_nc[f"{instr}_latitude"].attrs["comment"] += ( f". Variable nudged_latitude from {in_fn} file linearly" f" interpolated onto {variable.split('_')[0]} time values." ) self.aligned_nc[f"{instr}_latitude"].attrs["long_name"] = "Latitude" - self.aligned_nc[f"{instr}_latitude"].attrs["instrument_sample_rate_hz"] = sample_rate + self.aligned_nc[f"{instr}_latitude"].attrs["instrument_sample_rate_hz"] = ( + sample_rate + ) self.aligned_nc[f"{instr}_longitude"] = xr.DataArray( lon_interp(var_time).astype(np.float64).tolist(), @@ -307,20 +341,26 @@ def process_cal(self, vehicle: str = "", name: str = "") -> None: # noqa: C901, f" interpolated onto {variable.split('_')[0]} time values." ) self.aligned_nc[f"{instr}_longitude"].attrs["long_name"] = "Longitude" - self.aligned_nc[f"{instr}_longitude"].attrs["instrument_sample_rate_hz"] = sample_rate + self.aligned_nc[f"{instr}_longitude"].attrs["instrument_sample_rate_hz"] = ( + sample_rate + ) # Update spatial temporal bounds for the global metadata # https://github.com/pydata/xarray/issues/4917#issue-809708107 if pd.to_datetime(self.aligned_nc[timevar][0].values).tz_localize( timezone.utc, ) < pd.to_datetime(self.min_time): - self.min_time = pd.to_datetime(self.aligned_nc[timevar][0].values).tz_localize( + self.min_time = pd.to_datetime( + self.aligned_nc[timevar][0].values + ).tz_localize( timezone.utc, ) if pd.to_datetime(self.aligned_nc[timevar][-1].values).tz_localize( timezone.utc, ) > pd.to_datetime(self.max_time): - self.max_time = pd.to_datetime(self.aligned_nc[timevar][-1].values).tz_localize( + self.max_time = pd.to_datetime( + self.aligned_nc[timevar][-1].values + ).tz_localize( timezone.utc, ) if self.aligned_nc[f"{instr}_depth"].min() < self.min_depth: From c9b9de1a2b132ea4e212d61165b76d407dfd0d61 Mon Sep 17 00:00:00 2001 From: Mike McCann Date: Wed, 4 Jun 2025 16:37:38 -0700 Subject: [PATCH 04/66] Removed exception handling for UFuncTypeError - processed Dorado 2008.010.010 and did not see the original exception. --- src/data/align.py | 32 ++++++++------------------------ 1 file changed, 8 insertions(+), 24 deletions(-) diff --git a/src/data/align.py b/src/data/align.py index 884fa727..fed8a7d3 100755 --- a/src/data/align.py +++ b/src/data/align.py @@ -247,30 +247,14 @@ def process_cal(self, vehicle: str = "", name: str = "") -> None: # noqa: C901, # Create new DataArrays of all the variables, including "aligned" # (interpolated) depth, latitude, and longitude coordinates. # Use attributes from the calibrated data. - try: - sample_rate = np.round( - 1.0 - / ( - np.mean(np.diff(self.calibrated_nc[timevar])) - / np.timedelta64(1, "s") - ), - decimals=2, - ) - except TypeError as e: - # Code to catch UFuncTypeError, which used to be imported from numpy.core._exceptions - # Seen in dorado 2008.010.10 - caused by time variable missing from lopc.nc - self.logger.warning("UFuncTypeError: %s", e) - self.logger.debug( - f"type(type(self.calibrated_nc[variable].get_index(f'{instr}_time'))" # noqa: G004 - f" = {type(self.calibrated_nc[variable].get_index(f'{instr}_time'))}", - ) - self.logger.warning( - f"{variable}: Failed to calculate sample_rate -" # noqa: G004 - f" xarray wrote {instr}_time as RangeIndex rather than actual time values -" - f" skipping it", - ) - del self.aligned_nc[variable] - continue + sample_rate = np.round( + 1.0 + / ( + np.mean(np.diff(self.calibrated_nc[timevar])) + / np.timedelta64(1, "s") + ), + decimals=2, + ) self.aligned_nc[variable] = xr.DataArray( self.calibrated_nc[variable].values, dims={timevar}, From 439cc50923e41f6fcd66572757dbc61101e94768 Mon Sep 17 00:00:00 2001 From: Mike McCann Date: Wed, 4 Jun 2025 16:39:09 -0700 Subject: [PATCH 05/66] Test Dorado 2008.010.010. --- .vscode/launch.json | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/.vscode/launch.json b/.vscode/launch.json index 9be5ee2c..cd9f72e1 100644 --- a/.vscode/launch.json +++ b/.vscode/launch.json @@ -267,7 +267,8 @@ //"args": ["-v", "1", "--noinput", "--num_cores", "8"] //"args": ["-v", "1", "--noinput", "--no_cleanup", "--mission", "2011.256.02", "--clobber"] //"args": ["-v", "1", "--noinput", "--no_cleanup", "--mission", "2010.341.00", "--download_process", "--local"] - "args": ["-v", "1", "--noinput", "--no_cleanup", "--mission", "2020.337.00", "--clobber"] + //"args": ["-v", "1", "--noinput", "--no_cleanup", "--mission", "2020.337.00", "--clobber"] + "args": ["-v", "1", "--noinput", "--no_cleanup", "--mission", "2008.010.10"] }, ] From 8b0274c02c938ea345d0bf06daff3347e6d4f873 Mon Sep 17 00:00:00 2001 From: Mike McCann Date: Wed, 4 Jun 2025 16:40:44 -0700 Subject: [PATCH 06/66] Add pysolar. --- pyproject.toml | 1 + uv.lock | 14 ++++++++++++++ 2 files changed, 15 insertions(+) diff --git a/pyproject.toml b/pyproject.toml index 14622987..b25ee429 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -17,6 +17,7 @@ dependencies = [ "netcdf4>=1.7.2", "numpy>=2.2.6", "pyproj>=3.7.1", + "pysolar>=0.13", "seawater>=3.3.5", ] diff --git a/uv.lock b/uv.lock index d5a57da4..ccdbfbdc 100644 --- a/uv.lock +++ b/uv.lock @@ -91,6 +91,7 @@ dependencies = [ { name = "netcdf4" }, { name = "numpy" }, { name = "pyproj" }, + { name = "pysolar" }, { name = "seawater" }, ] @@ -113,6 +114,7 @@ requires-dist = [ { name = "netcdf4", specifier = ">=1.7.2" }, { name = "numpy", specifier = ">=2.2.6" }, { name = "pyproj", specifier = ">=3.7.1" }, + { name = "pysolar", specifier = ">=0.13" }, { name = "seawater", specifier = ">=3.3.5" }, ] @@ -958,6 +960,18 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/98/df/68a2b7f5fb6400c64aad82d72bcc4bc531775e62eedff993a77c780defd0/pyproj-3.7.1-cp313-cp313-win_amd64.whl", hash = "sha256:d3caac7473be22b6d6e102dde6c46de73b96bc98334e577dfaee9886f102ea2e", size = 6266573 }, ] +[[package]] +name = "pysolar" +version = "0.13" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "numpy" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/97/f0/6f0b4e997370ce023212a8073ff581fdebb779d7e84435846af90079bfbe/pysolar-0.13.tar.gz", hash = "sha256:05913740694e4bb2af8412de3fa278c0435b3b15b2975c8e38625fc4eed1fd6c", size = 44526 } +wheels = [ + { url = "https://files.pythonhosted.org/packages/71/d4/d9440ff5da6547ac2587f93a9af7e779be0aed78e1f0734dede94e440f6b/pysolar-0.13-py3-none-any.whl", hash = "sha256:9019323af1a4db0b1cd5df5570b34a22b290f5ee817497aacfd63475779da004", size = 46930 }, +] + [[package]] name = "pytest" version = "8.4.0" From 0deacf97c89ee8d8062506f5dea273838091b720 Mon Sep 17 00:00:00 2001 From: Mike McCann Date: Thu, 5 Jun 2025 10:15:29 -0700 Subject: [PATCH 07/66] Add back the ruff settings. --- pyproject.toml | 77 ++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 77 insertions(+) diff --git a/pyproject.toml b/pyproject.toml index b25ee429..6b9475df 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -25,3 +25,80 @@ dependencies = [ dev = [ "pytest>=8.4.0", ] +[tool.ruff] +target-version = "py313" +line-length = 100 +# Exclude a variety of commonly ignored directories and things in expd we don't want checked +extend-exclude = [ + "notebooks/*.ipynb", +] + +[tool.ruff.lint] +select = [ + "F", + "E", + "W", + "C90", + "I", + "N", + "UP", + "YTT", + # "ANN", # flake8-annotations: we should support this in the future but 100+ errors atm + "ASYNC", + "S", + "BLE", + "FBT", + "B", + "A", + "COM", + "C4", + "DTZ", + "T10", + "DJ", + "EM", + "EXE", + "FA", + 'ISC', + "ICN", + "G", + 'INP', + 'PIE', + "T20", + 'PYI', + 'PT', + "Q", + "RSE", + "RET", + "SLF", + "SLOT", + "SIM", + "TID", + "TC", + "INT", + # "ARG", # Unused function argument + "PTH", + "ERA", + "PD", + "PGH", + "PL", + "TRY", + "FLY", + # "NPY", + # "AIR", + "PERF", + # "FURB", + # "LOG", + "RUF", +] +ignore = [ + "COM812", # Missing-trailing-comma + "ERA001", # Commented-out code + "N801", # Class name should use CapWords convention + "N802", # Function name should be lowercase + "N806", # Variable in function should be lowercase + "N818", # Exception name should be named with an Error suffix + "SLF001", # Private member accessed +] + +[tool.ruff.lint.per-file-ignores] +"src/data/dorado_info.py" = ["E501"] \ No newline at end of file From d52fcb9597901a4e296ac6bbb55849d1347ccc02 Mon Sep 17 00:00:00 2001 From: Mike McCann Date: Thu, 5 Jun 2025 10:21:08 -0700 Subject: [PATCH 08/66] Use uv and python3.13 in ci and in production docker. --- .github/workflows/ci.yml | 36 +- .pre-commit-config.yaml | 40 - docker/Dockerfile | 48 +- docker/Dockerfile-ci | 51 +- poetry.lock | 4688 -------------------------------------- 5 files changed, 61 insertions(+), 4802 deletions(-) delete mode 100644 .pre-commit-config.yaml delete mode 100644 poetry.lock diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index eeaf7572..15178b62 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -16,18 +16,21 @@ jobs: - name: Set up Python uses: actions/setup-python@v5 with: - python-version: '3.10' + python-version: '3.13' - - name: Install Poetry - run: | - curl -sSL https://install.python-poetry.org | python3 - - echo "$HOME/.local/bin" >> $GITHUB_PATH + - name: Install uv + uses: astral-sh/setup-uv@v5 + with: + version: "0.7.11" - name: Install dependencies - run: poetry install + run: uv pip install --system . + + - name: Install pre-commit + run: uv pip install --system pre-commit - name: Run pre-commit - run: poetry run pre-commit run --all-files + run: pre-commit run --all-files test: runs-on: ubuntu-latest @@ -38,15 +41,15 @@ jobs: - name: Set up Python uses: actions/setup-python@v5 with: - python-version: '3.10' + python-version: '3.13' - - name: Install Poetry - run: | - curl -sSL https://install.python-poetry.org | python3 - - echo "$HOME/.local/bin" >> $GITHUB_PATH + - name: Install uv + uses: astral-sh/setup-uv@v5 + with: + version: "0.7.11" - name: Install dependencies - run: poetry install + run: uv pip install --system . - name: Set environment variables run: | @@ -56,16 +59,15 @@ jobs: - name: Download and unzip required data files run: | mkdir -p "$HOME/auv_data" - # Dorado389.tar.gz contains original log files of short dorado mission for testing: 2011.256.02 wget -q --no-check-certificate -O "$HOME/auv_data/Dorado389.tar.gz" https://stoqs.mbari.org/auv_data/Dorado389.tar.gz tar -xvf "$HOME/auv_data/Dorado389.tar.gz" -C "$HOME/auv_data" 2> /dev/null - # i2MAP.tar.gz contains original log files of i2MAP mission for testing: 2018.34.01 wget -q --no-check-certificate -O "$HOME/auv_data/i2map.tar.gz" https://stoqs.mbari.org/auv_data/i2map.tar.gz tar -xf "$HOME/auv_data/i2map.tar.gz" -C "$HOME/auv_data" 2> /dev/null - # i2map processing needs access to calibration files on an on-premisis server, unpack a subset of it here wget -q --no-check-certificate -O "$HOME/auv_data/SBE-43.tar.gz" https://stoqs.mbari.org/auv_data/SBE-43.tar.gz tar -xf "$HOME/auv_data/SBE-43.tar.gz" -C "$HOME/auv_data" 2> /dev/null + - name: Install pytest + run: uv pip install --system pytest - name: Run tests - run: poetry run pytest + run: pytest diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml deleted file mode 100644 index 57ff97db..00000000 --- a/.pre-commit-config.yaml +++ /dev/null @@ -1,40 +0,0 @@ -exclude: '^notebooks/' -default_stages: [pre-commit] -minimum_pre_commit_version: "3.2.0" - -default_language_version: - python: python3.10 - -repos: - - repo: https://github.com/pre-commit/pre-commit-hooks - rev: v5.0.0 - hooks: - - id: trailing-whitespace - - id: end-of-file-fixer - - id: check-json - exclude: ^.vscode/launch.json$ - - id: check-toml - - id: check-xml - - id: check-yaml - - id: debug-statements - - id: check-builtin-literals - - id: check-case-conflict - - id: check-docstring-first - - id: detect-private-key - exclude: ^compose/production/nginx/localhost.key$ - - # Run the Ruff linter. - - repo: https://github.com/astral-sh/ruff-pre-commit - rev: v0.9.2 - hooks: - # Linter - - id: ruff - args: [--fix, --exit-non-zero-on-fix] - # Formatter - - id: ruff-format - -# sets up .pre-commit-ci.yaml to ensure pre-commit dependencies stay up to date -ci: - autoupdate_schedule: weekly - skip: [] - submodules: false diff --git a/docker/Dockerfile b/docker/Dockerfile index e9431076..9ffdaef6 100644 --- a/docker/Dockerfile +++ b/docker/Dockerfile @@ -1,5 +1,6 @@ # Adapted from from https://github.com/MBARIMike/ur_l/python_docker/Dockerfile -FROM python:3.10.9 AS python-base +FROM python:3.13-slim AS python-base + # Set DOCKER_USER_ID in shell, e.g. export DOCKER_USER_ID=$(id -u) ARG DOCKER_USER_ID ENV PYTHONUNBUFFERED=1 \ @@ -7,54 +8,41 @@ ENV PYTHONUNBUFFERED=1 \ PIP_NO_CACHE_DIR=off \ PIP_DISABLE_PIP_VERSION_CHECK=on \ PIP_DEFAULT_TIMEOUT=100 \ - POETRY_HOME="/opt/poetry" \ - POETRY_VIRTUALENVS_IN_PROJECT=true \ - POETRY_NO_INTERACTION=1 \ PYSETUP_PATH="/opt/pysetup" \ VENV_PATH="/opt/pysetup/.venv" -ENV PATH="$POETRY_HOME/bin:$VENV_PATH/bin:$PATH" - -# builder-base is used to build dependencies -FROM python-base AS builder-base +# Install system dependencies RUN apt-get update \ && apt-get install --no-install-recommends -y \ curl \ - build-essential - -# Freeze poetry version to avoid breaking changes -ENV POETRY_VERSION=1.2.2 -RUN curl -sSL https://install.python-poetry.org | python3 - + build-essential \ + git \ + rsync -# We copy our Python requirements here to cache them -# and install only runtime deps using poetry +# Install uv +RUN curl -LsSf https://astral.sh/uv/install.sh | sh WORKDIR $PYSETUP_PATH -COPY ./poetry.lock ./pyproject.toml ./ -RUN poetry self update $POETRY_VERSION && poetry install --only main - -# 'production' stage uses the clean 'python-base' stage and copies -# in only our runtime deps that were installed in the 'builder-base' -FROM python-base AS production -ARG DOCKER_USER_ID -ENV TARGET_ENV=production -RUN adduser docker_user --uid $DOCKER_USER_ID --gid 100 --disabled-password --gecos "" +# Copy dependency files first for better cache +COPY ./pyproject.toml ./ +COPY ./src/pyproject.toml ./src/pyproject.toml -COPY --from=builder-base $VENV_PATH $VENV_PATH +# Install Python dependencies using uv (from pyproject.toml) +RUN uv pip install --system . -# Need git & rsync in final production image for use by src/data/process_i2map.py -RUN apt-get update && apt-get install -y git rsync +# Create user and set permissions +RUN adduser --disabled-password --gecos "" --uid $DOCKER_USER_ID docker_user \ + && mkdir /data && chown docker_user:100 /data -# Make sure the uid used in production (docker_user) can write to /data -RUN mkdir /data && chown docker_user:100 /data USER docker_user +# Copy source code and .git for commit hash tracking COPY ./src /src COPY ./.git /.git # So that repo.head.object.hexsha can be used to record the commit hash RUN git config --global --add safe.directory / -# Make WORKDIR / so that relative paths (e.g. src/data/process_i2map.py) work +# Set working directory WORKDIR / diff --git a/docker/Dockerfile-ci b/docker/Dockerfile-ci index 7f525443..0eff1957 100644 --- a/docker/Dockerfile-ci +++ b/docker/Dockerfile-ci @@ -1,49 +1,46 @@ # Dockerfile-ci: Modified to not use DOCKER_USER_ID # Adapted from from https://github.com/MBARIMike/ur_l/python_docker/Dockerfile -FROM python:3.10.9 as python-base +FROM python:3.13-slim AS python-base + +# Set DOCKER_USER_ID in shell, e.g. export DOCKER_USER_ID=$(id -u) +ARG DOCKER_USER_ID ENV PYTHONUNBUFFERED=1 \ PYTHONDONTWRITEBYTECODE=1 \ PIP_NO_CACHE_DIR=off \ PIP_DISABLE_PIP_VERSION_CHECK=on \ PIP_DEFAULT_TIMEOUT=100 \ - POETRY_HOME="/opt/poetry" \ - POETRY_VIRTUALENVS_IN_PROJECT=true \ - POETRY_NO_INTERACTION=1 \ - PYSETUP_PATH="/opt/pysetup" \ - VENV_PATH="/opt/pysetup/.venv" - -ENV PATH="$POETRY_HOME/bin:$VENV_PATH/bin:$PATH" + PYSETUP_PATH="/opt/pysetup" -# builder-base is used to build dependencies -FROM python-base as builder-base +# Install system dependencies RUN apt-get update \ && apt-get install --no-install-recommends -y \ curl \ - build-essential - -# Freeze poetry version to avoid breaking changes -ENV POETRY_VERSION=1.2.2 -RUN curl -sSL https://install.python-poetry.org | python3 - + build-essential \ + git \ + rsync -# We copy our Python requirements here to cache them -# and install only runtime deps using poetry +# Install uv +RUN curl -LsSf https://astral.sh/uv/install.sh | sh WORKDIR $PYSETUP_PATH -COPY ./poetry.lock ./pyproject.toml ./ -RUN poetry self update $POETRY_VERSION && poetry install --only main -# 'production' stage uses the clean 'python-base' stage and copies -# in only our runtime deps that were installed in the 'builder-base' -FROM python-base as production -ENV TARGET_ENV=production +# Copy dependency files first for better cache +COPY ./pyproject.toml ./ +COPY ./src/pyproject.toml ./src/pyproject.toml -COPY --from=builder-base $VENV_PATH $VENV_PATH +# Install Python dependencies using uv (from pyproject.toml) +RUN uv pip install --system . -# Need git & rsync in final production image for use by src/data/process_i2map.py -RUN apt-get update && apt-get install -y git rsync +# Create user and set permissions +RUN adduser --disabled-password --gecos "" --uid $DOCKER_USER_ID docker_user \ + && mkdir /data && chown docker_user:100 /data +USER docker_user + +# Copy source code and .git for commit hash tracking COPY ./src /src COPY ./.git /.git -# Make WORKDIR / so that relative paths (e.g. src/data/process_i2map.py) work +RUN git config --global --add safe.directory / + WORKDIR / diff --git a/poetry.lock b/poetry.lock deleted file mode 100644 index 9ff3b5cb..00000000 --- a/poetry.lock +++ /dev/null @@ -1,4688 +0,0 @@ -# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand. - 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repo: https://github.com/astral-sh/ruff-pre-commit + rev: v0.4.4 + hooks: + - id: ruff + - id: ruff-format \ No newline at end of file diff --git a/pyproject.toml b/pyproject.toml index 6b9475df..310680f2 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -24,9 +24,10 @@ dependencies = [ [dependency-groups] dev = [ "pytest>=8.4.0", + "pre-commit>=3.7.0", ] [tool.ruff] -target-version = "py313" +target-version = "py312" line-length = 100 # Exclude a variety of commonly ignored directories and things in expd we don't want checked extend-exclude = [ @@ -58,7 +59,6 @@ select = [ "EM", "EXE", "FA", - 'ISC', "ICN", "G", 'INP', @@ -73,7 +73,6 @@ select = [ "SLOT", "SIM", "TID", - "TC", "INT", # "ARG", # Unused function argument "PTH", From 419baaff977668aa78ec591b543c41487c94322b Mon Sep 17 00:00:00 2001 From: Mike McCann Date: Thu, 5 Jun 2025 10:39:44 -0700 Subject: [PATCH 10/66] Modify pre-commit to install from pyproject.toml. --- .github/workflows/ci.yml | 9 +++------ 1 file changed, 3 insertions(+), 6 deletions(-) diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 15178b62..8ad62253 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -23,14 +23,11 @@ jobs: with: version: "0.7.11" - - name: Install dependencies - run: uv pip install --system . - - - name: Install pre-commit - run: uv pip install --system pre-commit + - name: Install dev dependencies + run: uv pip install --system .[dev] - name: Run pre-commit - run: pre-commit run --all-files + run: pre-commit run --all-files --show-diff-on-failure test: runs-on: ubuntu-latest From c9c2b5811bd876cc0c149c1c8cce6320f4784af0 Mon Sep 17 00:00:00 2001 From: Mike McCann Date: Thu, 5 Jun 2025 10:49:13 -0700 Subject: [PATCH 11/66] Reformatted using new pre-commit setup. --- src/data/align.py | 77 +++++++--------------- src/data/resample.py | 149 +++++++++++-------------------------------- 2 files changed, 61 insertions(+), 165 deletions(-) diff --git a/src/data/align.py b/src/data/align.py index fed8a7d3..9e07d43e 100755 --- a/src/data/align.py +++ b/src/data/align.py @@ -18,7 +18,7 @@ import sys import time from argparse import RawTextHelpFormatter -from datetime import datetime, timezone +from datetime import UTC, datetime from pathlib import Path from socket import gethostname @@ -62,7 +62,7 @@ def global_metadata(self): e, ) gitcommit = "" - iso_now = datetime.now(timezone.utc).isoformat() + "Z" + iso_now = datetime.now(UTC).isoformat() + "Z" metadata = {} metadata["netcdf_version"] = "4" @@ -88,13 +88,9 @@ def global_metadata(self): metadata["geospatial_lat_max"] = self.max_lat metadata["geospatial_lon_min"] = self.min_lon metadata["geospatial_lon_max"] = self.max_lon - metadata["distribution_statement"] = ( - "Any use requires prior approval from MBARI" - ) + metadata["distribution_statement"] = "Any use requires prior approval from MBARI" metadata["license"] = metadata["distribution_statement"] - metadata["useconst"] = ( - "Not intended for legal use. Data may contain inaccuracies." - ) + metadata["useconst"] = "Not intended for legal use. Data may contain inaccuracies." metadata["history"] = f"Created by {self.commandline} on {iso_now}" metadata["title"] = ( @@ -142,8 +138,8 @@ def process_cal(self, vehicle: str = "", name: str = "") -> None: # noqa: C901, raise InvalidCalFile(e) from e self.logger.info("Processing %s from %s", in_fn, netcdfs_dir) self.aligned_nc = xr.Dataset() - self.min_time = datetime.now(timezone.utc) - self.max_time = datetime(1970, 1, 1, tzinfo=timezone.utc) + self.min_time = datetime.now(UTC) + self.max_time = datetime(1970, 1, 1, tzinfo=UTC) self.min_depth = np.inf self.max_depth = -np.inf self.min_lat = np.inf @@ -173,10 +169,7 @@ def process_cal(self, vehicle: str = "", name: str = "") -> None: # noqa: C901, # values outside the range of the pitch values. try: lat_interp = interp1d( - self.calibrated_nc["nudged_latitude"] - .get_index("time") - .view(np.int64) - .tolist(), + self.calibrated_nc["nudged_latitude"].get_index("time").view(np.int64).tolist(), self.calibrated_nc["nudged_latitude"].values, fill_value=( self.calibrated_nc["nudged_latitude"][0], @@ -188,10 +181,7 @@ def process_cal(self, vehicle: str = "", name: str = "") -> None: # noqa: C901, error_message = f"No nudged_latitude data in {in_fn}" raise InvalidCalFile(error_message) from None lon_interp = interp1d( - self.calibrated_nc["nudged_longitude"] - .get_index("time") - .view(np.int64) - .tolist(), + self.calibrated_nc["nudged_longitude"].get_index("time").view(np.int64).tolist(), self.calibrated_nc["nudged_longitude"].values, fill_value=( self.calibrated_nc["nudged_longitude"][0], @@ -205,10 +195,7 @@ def process_cal(self, vehicle: str = "", name: str = "") -> None: # noqa: C901, timevar = f"{instr}_{TIME60HZ}" try: depth_interp = interp1d( - self.calibrated_nc[f"{instr}_depth"] - .get_index(timevar) - .view(np.int64) - .tolist(), + self.calibrated_nc[f"{instr}_depth"].get_index(timevar).view(np.int64).tolist(), self.calibrated_nc[f"{instr}_depth"].values, fill_value=( self.calibrated_nc[f"{instr}_depth"][0], @@ -240,19 +227,13 @@ def process_cal(self, vehicle: str = "", name: str = "") -> None: # noqa: C901, error_message = "Cannot interpolate depth" raise InvalidCalFile(error_message) from e - var_time = ( - self.aligned_nc[variable].get_index(timevar).view(np.int64).tolist() - ) + var_time = self.aligned_nc[variable].get_index(timevar).view(np.int64).tolist() # Create new DataArrays of all the variables, including "aligned" # (interpolated) depth, latitude, and longitude coordinates. # Use attributes from the calibrated data. sample_rate = np.round( - 1.0 - / ( - np.mean(np.diff(self.calibrated_nc[timevar])) - / np.timedelta64(1, "s") - ), + 1.0 / (np.mean(np.diff(self.calibrated_nc[timevar])) / np.timedelta64(1, "s")), decimals=2, ) self.aligned_nc[variable] = xr.DataArray( @@ -278,9 +259,7 @@ def process_cal(self, vehicle: str = "", name: str = "") -> None: # noqa: C901, name=f"{instr}_depth", ) try: - self.aligned_nc[f"{instr}_depth"].attrs = self.calibrated_nc[ - f"{instr}_depth" - ].attrs + self.aligned_nc[f"{instr}_depth"].attrs = self.calibrated_nc[f"{instr}_depth"].attrs except KeyError: self.logger.debug( "%s: %s_depth not found in %s", @@ -289,9 +268,7 @@ def process_cal(self, vehicle: str = "", name: str = "") -> None: # noqa: C901, self.calibrated_nc, ) self.aligned_nc[f"{instr}_depth"].attrs["long_name"] = "Depth" - self.aligned_nc[f"{instr}_depth"].attrs["instrument_sample_rate_hz"] = ( - sample_rate - ) + self.aligned_nc[f"{instr}_depth"].attrs["instrument_sample_rate_hz"] = sample_rate self.aligned_nc[f"{instr}_latitude"] = xr.DataArray( lat_interp(var_time).astype(np.float64).tolist(), @@ -299,17 +276,13 @@ def process_cal(self, vehicle: str = "", name: str = "") -> None: # noqa: C901, coords=[self.calibrated_nc[variable].get_index(timevar)], name=f"{instr}_latitude", ) - self.aligned_nc[f"{instr}_latitude"].attrs = self.calibrated_nc[ - "nudged_latitude" - ].attrs + self.aligned_nc[f"{instr}_latitude"].attrs = self.calibrated_nc["nudged_latitude"].attrs self.aligned_nc[f"{instr}_latitude"].attrs["comment"] += ( f". Variable nudged_latitude from {in_fn} file linearly" f" interpolated onto {variable.split('_')[0]} time values." ) self.aligned_nc[f"{instr}_latitude"].attrs["long_name"] = "Latitude" - self.aligned_nc[f"{instr}_latitude"].attrs["instrument_sample_rate_hz"] = ( - sample_rate - ) + self.aligned_nc[f"{instr}_latitude"].attrs["instrument_sample_rate_hz"] = sample_rate self.aligned_nc[f"{instr}_longitude"] = xr.DataArray( lon_interp(var_time).astype(np.float64).tolist(), @@ -325,27 +298,21 @@ def process_cal(self, vehicle: str = "", name: str = "") -> None: # noqa: C901, f" interpolated onto {variable.split('_')[0]} time values." ) self.aligned_nc[f"{instr}_longitude"].attrs["long_name"] = "Longitude" - self.aligned_nc[f"{instr}_longitude"].attrs["instrument_sample_rate_hz"] = ( - sample_rate - ) + self.aligned_nc[f"{instr}_longitude"].attrs["instrument_sample_rate_hz"] = sample_rate # Update spatial temporal bounds for the global metadata # https://github.com/pydata/xarray/issues/4917#issue-809708107 if pd.to_datetime(self.aligned_nc[timevar][0].values).tz_localize( - timezone.utc, + UTC, ) < pd.to_datetime(self.min_time): - self.min_time = pd.to_datetime( - self.aligned_nc[timevar][0].values - ).tz_localize( - timezone.utc, + self.min_time = pd.to_datetime(self.aligned_nc[timevar][0].values).tz_localize( + UTC, ) if pd.to_datetime(self.aligned_nc[timevar][-1].values).tz_localize( - timezone.utc, + UTC, ) > pd.to_datetime(self.max_time): - self.max_time = pd.to_datetime( - self.aligned_nc[timevar][-1].values - ).tz_localize( - timezone.utc, + self.max_time = pd.to_datetime(self.aligned_nc[timevar][-1].values).tz_localize( + UTC, ) if self.aligned_nc[f"{instr}_depth"].min() < self.min_depth: self.min_depth = self.aligned_nc[f"{instr}_depth"].min().to_numpy() diff --git a/src/data/resample.py b/src/data/resample.py index 4210f0f1..1475beab 100755 --- a/src/data/resample.py +++ b/src/data/resample.py @@ -15,7 +15,7 @@ import sys import time from collections import defaultdict -from datetime import datetime, timedelta, timezone +from datetime import UTC, datetime, timedelta from pathlib import Path from socket import gethostname @@ -51,7 +51,7 @@ class Resampler: def __init__(self) -> None: plt.rcParams["figure.figsize"] = (15, 5) self.resampled_nc = xr.Dataset() - iso_now = datetime.now(tz=timezone.utc).isoformat().split(".")[0] + "Z" + iso_now = datetime.now(tz=UTC).isoformat().split(".")[0] + "Z" # Common static attributes for all auv platforms self.metadata = {} self.metadata["netcdf_version"] = "4" @@ -75,7 +75,7 @@ def _build_global_metadata(self) -> None: e, ) gitcommit = "" - iso_now = datetime.now(tz=timezone.utc).isoformat().split(".")[0] + "Z" + iso_now = datetime.now(tz=UTC).isoformat().split(".")[0] + "Z" # Common dynamic attributes for all auv platforms self.metadata["time_coverage_start"] = str(min(self.resampled_nc.time.values)) self.metadata["time_coverage_end"] = str(max(self.resampled_nc.time.values)) @@ -307,22 +307,13 @@ def resample_coordinates(self, instr: str, mf_width: int, freq: str) -> None: # (at least in November 2020) # and we want to use the same pitch corrected depth for all of them. self.df_r["depth"] = ( - self.df_o[f"{instr}_depth_mf"] - .shift(0.5, freq=freq.lower()) - .resample(freq) - .mean() + self.df_o[f"{instr}_depth_mf"].shift(0.5, freq=freq.lower()).resample(freq).mean() ) self.df_r["latitude"] = ( - self.df_o[f"{instr}_latitude_mf"] - .shift(0.5, freq=freq.lower()) - .resample(freq) - .mean() + self.df_o[f"{instr}_latitude_mf"].shift(0.5, freq=freq.lower()).resample(freq).mean() ) self.df_r["longitude"] = ( - self.df_o[f"{instr}_longitude_mf"] - .shift(0.5, freq=freq.lower()) - .resample(freq) - .mean() + self.df_o[f"{instr}_longitude_mf"].shift(0.5, freq=freq.lower()).resample(freq).mean() ) return aggregator @@ -382,16 +373,14 @@ def select_nighttime_bl_raw( get_altitude( lat, lon, - datetime.fromtimestamp(ts.astype(int) / 1.0e9, tz=timezone.utc), + datetime.fromtimestamp(ts.astype(int) / 1.0e9, tz=UTC), ), ) # Find sunset and sunrise - where sun altitude changes sign sign_changes = np.where(np.diff(np.sign(sun_alts)))[0] ss_sr_times = ( - self.ds["navigation_time"] - .isel({"navigation_time": sign_changes * stride}) - .to_numpy() + self.ds["navigation_time"].isel({"navigation_time": sign_changes * stride}).to_numpy() ) self.logger.debug("Sunset and sunrise times: %s", ss_sr_times) @@ -402,9 +391,7 @@ def select_nighttime_bl_raw( # Iterate over sunset and sunrise pairs for i in range(0, len(ss_sr_times) - 1, 2): sunset = ss_sr_times[i] + pd.to_timedelta(1, "h") # 1 hour past sunset - sunrise = ss_sr_times[i + 1] - pd.to_timedelta( - 1, "h" - ) # 1 hour before sunrise + sunrise = ss_sr_times[i + 1] - pd.to_timedelta(1, "h") # 1 hour before sunrise sunsets.append(sunset) sunrises.append(sunrise) @@ -428,9 +415,7 @@ def select_nighttime_bl_raw( if nighttime_data.empty else nighttime_data.copy() if nighttime_bl_raw.empty - else pd.concat( - [nighttime_bl_raw, nighttime_data] - ) # if both DataFrames non empty + else pd.concat([nighttime_bl_raw, nighttime_data]) # if both DataFrames non empty ) if not sunsets or not sunrises: @@ -470,9 +455,7 @@ def add_profile(self, depth_threshold: float = 15) -> None: coords=[self.resampled_nc["time"].to_numpy()], name="profile_number", ) - self.resampled_nc["profile_number"].attrs["coordinates"] = ( - "time depth latitude longitude" - ) + self.resampled_nc["profile_number"].attrs["coordinates"] = "time depth latitude longitude" self.resampled_nc["profile_number"].attrs = { "long_name": "Profile number", } @@ -568,9 +551,7 @@ def add_biolume_proxies( # noqa: PLR0913, PLR0915 center=True, ).min() min_bg = ( - min_bg_unsmoothed.rolling(window_size, min_periods=0, center=True) - .mean() - .to_numpy() + min_bg_unsmoothed.rolling(window_size, min_periods=0, center=True).mean().to_numpy() ) self.logger.debug("Applying rolling median filter") @@ -597,9 +578,7 @@ def add_biolume_proxies( # noqa: PLR0913, PLR0915 self.logger.debug("Finding peaks") peaks, _ = signal.find_peaks(s_biolume_raw, height=max_bg) s_peaks = pd.Series(s_biolume_raw.iloc[peaks], index=s_biolume_raw.index[peaks]) - s_med_bg_peaks = pd.Series( - s_med_bg.iloc[peaks], index=s_biolume_raw.index[peaks] - ) + s_med_bg_peaks = pd.Series(s_med_bg.iloc[peaks], index=s_biolume_raw.index[peaks]) if self.args.flash_threshold: flash_threshold = self.args.flash_threshold flash_threshold_note = f"Computed with flash_threshold = {flash_threshold:.0e}" @@ -616,9 +595,7 @@ def add_biolume_proxies( # noqa: PLR0913, PLR0915 # Count the number of flashes per second - use 15 second window stepping every second flash_count_seconds = 15 flash_window = flash_count_seconds * sample_rate - self.logger.debug( - "Counting flashes using %d second window", flash_count_seconds - ) + self.logger.debug("Counting flashes using %d second window", flash_count_seconds) nbflash_high_counts = ( s_nbflash_high.rolling(flash_window, step=1, min_periods=0, center=True) .count() @@ -634,19 +611,15 @@ def add_biolume_proxies( # noqa: PLR0913, PLR0915 / flash_count_seconds ) - flow = ( - self.ds[["biolume_flow"]]["biolume_flow"] - .to_pandas() - .resample("1S") - .mean() - .ffill() - ) + flow = self.ds[["biolume_flow"]]["biolume_flow"].to_pandas().resample("1S").mean().ffill() # Flow sensor is not always on, so fill in 0.0 values with 350 ml/s zero_note = "" num_zero_flow = len(np.where(flow == 0)[0]) if num_zero_flow > 0: - zero_note = f"Zero flow values found: {num_zero_flow} of {len(flow)} - replaced with 350 ml/s" + zero_note = ( + f"Zero flow values found: {num_zero_flow} of {len(flow)} - replaced with 350 ml/s" + ) self.logger.info(zero_note) flow = flow.replace(0.0, 350.0) @@ -658,18 +631,14 @@ def add_biolume_proxies( # noqa: PLR0913, PLR0915 "High intensity flashes (copepods proxy)" ) self.df_r["biolume_nbflash_high"].attrs["units"] = "flashes/liter" - self.df_r["biolume_nbflash_high"].attrs["comment"] = ( - f"{zero_note} - {flash_threshold_note}" - ) + self.df_r["biolume_nbflash_high"].attrs["comment"] = f"{zero_note} - {flash_threshold_note}" self.df_r["biolume_nbflash_low"] = nbflash_low_counts.divide(flow) * 1000 self.df_r["biolume_nbflash_low"].attrs["long_name"] = ( "Low intensity flashes (Larvacean proxy)" ) self.df_r["biolume_nbflash_low"].attrs["units"] = "flashes/liter" - self.df_r["biolume_nbflash_low"].attrs["comment"] = ( - f"{zero_note} - {flash_threshold_note}" - ) + self.df_r["biolume_nbflash_low"].attrs["comment"] = f"{zero_note} - {flash_threshold_note}" # Flash intensity in ph/s - proxy for small jellies - for entire mission, not just nightime all_raw = self.ds[["biolume_raw"]]["biolume_raw"].to_pandas() @@ -688,9 +657,7 @@ def add_biolume_proxies( # noqa: PLR0913, PLR0915 "Saving flash intensity: biolume_intflash - the upper bound of the background envelope", ) self.df_r["biolume_intflash"] = intflash - self.df_r["biolume_intflash"].attrs["long_name"] = ( - "Flashes intensity (small jellies proxy)" - ) + self.df_r["biolume_intflash"].attrs["long_name"] = "Flashes intensity (small jellies proxy)" self.df_r["biolume_intflash"].attrs["units"] = "photons/s" self.df_r["biolume_intflash"].attrs["comment"] = ( f" intensity of flashes from {sample_rate} Hz biolume_raw variable in {freq} intervals." @@ -702,9 +669,7 @@ def add_biolume_proxies( # noqa: PLR0913, PLR0915 min_periods=0, center=True, ).mean() - bg_biolume = ( - pd.Series(s_min_bg, index=s_biolume_raw.index).resample("1S").mean() - ) + bg_biolume = pd.Series(s_min_bg, index=s_biolume_raw.index).resample("1S").mean() self.logger.info("Saving Background bioluminescence (dinoflagellates proxy)") self.df_r["biolume_bg_biolume"] = bg_biolume.divide(flow) * 1000 self.df_r["biolume_bg_biolume"].attrs["long_name"] = ( @@ -851,35 +816,25 @@ def _interval_contains_sunevent( biolume_sunrises = pd.DatetimeIndex(biolume_sunrises).sort_values() profile_intervals = ( df_p.groupby("profile_number") - .apply( - lambda g: (g.index.min(), g.index.max()) - ) # pandas2.2.3: include_groups=False + .apply(lambda g: (g.index.min(), g.index.max())) # pandas2.2.3: include_groups=False .rename("interval") .apply(pd.Series) .rename(columns={0: "start", 1: "end"}) ) profile_intervals["has_sunset"] = profile_intervals.apply( - lambda row: _interval_contains_sunevent( - row["start"], row["end"], biolume_sunsets - ), + lambda row: _interval_contains_sunevent(row["start"], row["end"], biolume_sunsets), axis=1, ) profile_intervals["has_sunrise"] = profile_intervals.apply( - lambda row: _interval_contains_sunevent( - row["start"], row["end"], biolume_sunrises - ), + lambda row: _interval_contains_sunevent(row["start"], row["end"], biolume_sunrises), axis=1, ) profile_intervals["has_sunevent"] = ( profile_intervals["has_sunrise"] | profile_intervals["has_sunset"] ) df_p["has_sunset"] = df_p["profile_number"].map(profile_intervals["has_sunset"]) - df_p["has_sunrise"] = df_p["profile_number"].map( - profile_intervals["has_sunrise"] - ) - df_p["has_sunevent"] = df_p["profile_number"].map( - profile_intervals["has_sunevent"] - ) + df_p["has_sunrise"] = df_p["profile_number"].map(profile_intervals["has_sunrise"]) + df_p["has_sunevent"] = df_p["profile_number"].map(profile_intervals["has_sunevent"]) # compute correlation per profil and then correct proxies profil = df_p.profile_number @@ -918,9 +873,7 @@ def _interval_contains_sunevent( np.sum(auv_profil.biolume_proxy_adinos > adinos_threshold) < correction_threshold ): - if ( - auv_profil.biolume_proxy_adinos.count() == 0 - ): # all proxies are NaN so skip + if auv_profil.biolume_proxy_adinos.count() == 0: # all proxies are NaN so skip self.logger.info( "Correcting proxies: valid adinos=%d < thresh=%d -- all NaN so skip", np.sum(auv_profil.biolume_proxy_adinos > adinos_threshold), @@ -980,8 +933,7 @@ def _interval_contains_sunevent( # then scale between fluo_bl_threshold and 1 fluoBL_correctionfactor = ( - fluoBL_correctionfactor * (1.0 - fluo_bl_threshold) - + fluo_bl_threshold + fluoBL_correctionfactor * (1.0 - fluo_bl_threshold) + fluo_bl_threshold ) # can happen if fluo_bl_threshold is negative @@ -1006,15 +958,9 @@ def _interval_contains_sunevent( ) target_indices = df_p.index[iprofil] - self.df_r.loc[target_indices, "biolume_proxy_adinos"] = ( - df_p.adinosN.loc[iprofil] - ) - self.df_r.loc[target_indices, "biolume_proxy_diatoms"] = ( - df_p.diatomsN.loc[iprofil] - ) - self.df_r.loc[target_indices, "biolume_proxy_hdinos"] = ( - df_p.hdinosN.loc[iprofil] - ) + self.df_r.loc[target_indices, "biolume_proxy_adinos"] = df_p.adinosN.loc[iprofil] + self.df_r.loc[target_indices, "biolume_proxy_diatoms"] = df_p.diatomsN.loc[iprofil] + self.df_r.loc[target_indices, "biolume_proxy_hdinos"] = df_p.hdinosN.loc[iprofil] else: self.logger.info( "profile=%d skipped for proxy correction", @@ -1035,24 +981,17 @@ def resample_variable( # noqa: PLR0913 if instr == "biolume" and variable == "biolume_raw": # Only biolume_avg_biolume and biolume_flow treated like other data # All other biolume variables in self.df_r[] are computed from biolume_raw - proxy_cal_factor, proxy_ratio_adinos = self.set_proxy_parameters( - mission_start - ) + proxy_cal_factor, proxy_ratio_adinos = self.set_proxy_parameters(mission_start) biolume_fluo, biolume_sunsets, biolume_sunrises = self.add_biolume_proxies( freq=freq, proxy_cal_factor=proxy_cal_factor, proxy_ratio_adinos=proxy_ratio_adinos, ) - self.correct_biolume_proxies( - biolume_fluo, biolume_sunsets, biolume_sunrises - ) + self.correct_biolume_proxies(biolume_fluo, biolume_sunsets, biolume_sunrises) else: self.df_o[variable] = self.ds[variable].to_pandas() self.df_o[f"{variable}_mf"] = ( - self.ds[variable] - .rolling(**{timevar: mf_width}, center=True) - .median() - .to_pandas() + self.ds[variable].rolling(**{timevar: mf_width}, center=True).median().to_pandas() ) # Resample to center of freq https://stackoverflow.com/a/69945592/1281657 self.logger.info( @@ -1070,18 +1009,12 @@ def resample_variable( # noqa: PLR0913 dt_index = pd.date_range(mission_start, mission_end, freq=freq) self.df_r[variable] = pd.Series(np.NaN, index=dt_index) instr_data = ( - self.df_o[f"{variable}_mf"] - .shift(0.5, freq=freq.lower()) - .resample(freq) - .mean() + self.df_o[f"{variable}_mf"].shift(0.5, freq=freq.lower()).resample(freq).mean() ) self.df_r[variable].loc[instr_data.index] = instr_data else: self.df_r[variable] = ( - self.df_o[f"{variable}_mf"] - .shift(0.5, freq=freq.lower()) - .resample(freq) - .mean() + self.df_o[f"{variable}_mf"].shift(0.5, freq=freq.lower()).resample(freq).mean() ) return ".mean() aggregator" @@ -1164,12 +1097,8 @@ def get_mission_start_end( instrs_to_pad = {} for instr in self.instruments_variables(nc_file): time_coord = f"{instr}_{TIME}" - mission_start = min( - pd.to_datetime(self.ds[time_coord].min().values), mission_start - ) - mission_end = max( - pd.to_datetime(self.ds[time_coord].max().values), mission_end - ) + mission_start = min(pd.to_datetime(self.ds[time_coord].min().values), mission_start) + mission_end = max(pd.to_datetime(self.ds[time_coord].max().values), mission_end) for instr in self.instruments_variables(nc_file): time_coord = f"{instr}_{TIME}" duration = mission_end - pd.to_datetime(self.ds[time_coord].max().values) From fbfb93b56c06d8a6f81a408a189db65bf8b3cc26 Mon Sep 17 00:00:00 2001 From: Mike McCann Date: Thu, 5 Jun 2025 15:01:40 -0700 Subject: [PATCH 12/66] Change all freq to freq.lower() for new pandas. --- src/data/resample.py | 33 ++++++++++++++++++++++++--------- 1 file changed, 24 insertions(+), 9 deletions(-) diff --git a/src/data/resample.py b/src/data/resample.py index 1475beab..ae07e273 100755 --- a/src/data/resample.py +++ b/src/data/resample.py @@ -307,13 +307,22 @@ def resample_coordinates(self, instr: str, mf_width: int, freq: str) -> None: # (at least in November 2020) # and we want to use the same pitch corrected depth for all of them. self.df_r["depth"] = ( - self.df_o[f"{instr}_depth_mf"].shift(0.5, freq=freq.lower()).resample(freq).mean() + self.df_o[f"{instr}_depth_mf"] + .shift(0.5, freq=freq.lower()) + .resample(freq.lower()) + .mean() ) self.df_r["latitude"] = ( - self.df_o[f"{instr}_latitude_mf"].shift(0.5, freq=freq.lower()).resample(freq).mean() + self.df_o[f"{instr}_latitude_mf"] + .shift(0.5, freq=freq.lower()) + .resample(freq.lower()) + .mean() ) self.df_r["longitude"] = ( - self.df_o[f"{instr}_longitude_mf"].shift(0.5, freq=freq.lower()).resample(freq).mean() + self.df_o[f"{instr}_longitude_mf"] + .shift(0.5, freq=freq.lower()) + .resample(freq.lower()) + .mean() ) return aggregator @@ -599,14 +608,14 @@ def add_biolume_proxies( # noqa: PLR0913, PLR0915 nbflash_high_counts = ( s_nbflash_high.rolling(flash_window, step=1, min_periods=0, center=True) .count() - .resample(freq) + .resample(freq.lower()) .mean() / flash_count_seconds ) nbflash_low_counts = ( s_nbflash_low.rolling(flash_window, step=1, min_periods=0, center=True) .count() - .resample(freq) + .resample(freq.lower()) .mean() / flash_count_seconds ) @@ -698,7 +707,7 @@ def add_biolume_proxies( # noqa: PLR0913, PLR0915 & (self.resampled_nc["time"] < max(sunrises)), ) .to_pandas() - .resample(freq) + .resample(freq.lower()) .mean() ) # Set negative values from hs2_fl700 to NaN @@ -1006,15 +1015,21 @@ def resample_variable( # noqa: PLR0913 variable, instrs_to_pad[instr], ) - dt_index = pd.date_range(mission_start, mission_end, freq=freq) + dt_index = pd.date_range(mission_start, mission_end, freq=freq.lower()) self.df_r[variable] = pd.Series(np.NaN, index=dt_index) instr_data = ( - self.df_o[f"{variable}_mf"].shift(0.5, freq=freq.lower()).resample(freq).mean() + self.df_o[f"{variable}_mf"] + .shift(0.5, freq=freq.lower()) + .resample(freq.lower()) + .mean() ) self.df_r[variable].loc[instr_data.index] = instr_data else: self.df_r[variable] = ( - self.df_o[f"{variable}_mf"].shift(0.5, freq=freq.lower()).resample(freq).mean() + self.df_o[f"{variable}_mf"] + .shift(0.5, freq=freq.lower()) + .resample(freq.lower()) + .mean() ) return ".mean() aggregator" From ac696e25add110dcbd19b232743c360f0f0cac5d Mon Sep 17 00:00:00 2001 From: Mike McCann Date: Thu, 5 Jun 2025 15:02:22 -0700 Subject: [PATCH 13/66] Change [dependency-groups] to [project.optional-dependencies]. --- pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index 310680f2..20118f3f 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -21,7 +21,7 @@ dependencies = [ "seawater>=3.3.5", ] -[dependency-groups] +[project.optional-dependencies] dev = [ "pytest>=8.4.0", "pre-commit>=3.7.0", From badf59b6bb99b85fb6d34873ab8776eae9018520 Mon Sep 17 00:00:00 2001 From: Mike McCann Date: Thu, 5 Jun 2025 17:05:45 -0700 Subject: [PATCH 14/66] Frustratringly trying to sync pre-commit and vscode ruff behavior. --- pyproject.toml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index 20118f3f..e1e5ab6e 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -25,6 +25,7 @@ dependencies = [ dev = [ "pytest>=8.4.0", "pre-commit>=3.7.0", + "ruff>=0.4.4", ] [tool.ruff] target-version = "py312" @@ -87,7 +88,7 @@ select = [ "PERF", # "FURB", # "LOG", - "RUF", + # "RUF", ] ignore = [ "COM812", # Missing-trailing-comma From 505952a8478a9f7f162c89aaa6d81cce12583467 Mon Sep 17 00:00:00 2001 From: Mike McCann Date: Thu, 5 Jun 2025 17:06:28 -0700 Subject: [PATCH 15/66] Following a 'uv sync'. --- uv.lock | 1159 ++++++++++++++++++++++++++++++------------------------- 1 file changed, 636 insertions(+), 523 deletions(-) diff --git a/uv.lock b/uv.lock index ccdbfbdc..d6cb4c35 100644 --- a/uv.lock +++ b/uv.lock @@ -1,22 +1,23 @@ version = 1 +revision = 2 requires-python = ">=3.13" [[package]] 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45c2ef2a5bce49ed9ba6207b7a74155ae1e9eef7 Mon Sep 17 00:00:00 2001 From: Mike McCann Date: Mon, 9 Jun 2025 13:15:25 -0700 Subject: [PATCH 19/66] Update EXPECTED_SIZE_LOCALs. --- src/data/test_process_dorado.py | 2 +- src/data/test_process_i2map.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/src/data/test_process_dorado.py b/src/data/test_process_dorado.py index ae94e8ab..3450f6f6 100644 --- a/src/data/test_process_dorado.py +++ b/src/data/test_process_dorado.py @@ -31,7 +31,7 @@ def test_process_dorado(complete_dorado_processing): # If code changes are expected to change the file size then we should # update the expected size here. EXPECTED_SIZE = 621298 - EXPECTED_SIZE_LOCAL = 621298 + EXPECTED_SIZE_LOCAL = 621286 if str(proc.args.base_path).startswith("/home/runner"): # The size is different in GitHub Actions, maybe due to different metadata assert nc_file.stat().st_size == EXPECTED_SIZE # noqa: S101 diff --git a/src/data/test_process_i2map.py b/src/data/test_process_i2map.py index fd134014..1f2bba50 100644 --- a/src/data/test_process_i2map.py +++ b/src/data/test_process_i2map.py @@ -32,7 +32,7 @@ def test_process_i2map(complete_i2map_processing): # update the expected size here. EXPECTED_SIZE_GITHUB = 58836 EXPECTED_SIZE_ACT = 58816 - EXPECTED_SIZE_LOCAL = 58896 + EXPECTED_SIZE_LOCAL = 58884 if str(proc.args.base_path).startswith("/home/runner"): # The size is different in GitHub Actions, maybe due to different metadata assert nc_file.stat().st_size == EXPECTED_SIZE_GITHUB # noqa: S101 From 9532dbb073d3bdf18f99291285ae448188299c0b Mon Sep 17 00:00:00 2001 From: Mike McCann Date: Mon, 9 Jun 2025 13:16:53 -0700 Subject: [PATCH 20/66] Make the linter happier. These changes follow trying to have ruff in VS Code report the same problems as "pre-commit run --all-files". Not sure I was 100% successful in that effort. --- src/data/AUV.py | 6 +-- src/data/calibrate.py | 32 ++++++++------ src/data/create_products.py | 84 +++++++++++++++++++------------------ src/data/gulper.py | 2 +- src/data/hs2_proc.py | 4 +- src/data/logs2netcdfs.py | 2 +- src/data/lopcMEP.py | 4 +- src/data/lopcToNetCDF.py | 4 +- src/data/process.py | 4 +- src/data/resample.py | 4 +- src/data/test_ctd_proc.py | 2 +- src/data/usblToNetCDF.py | 2 +- 12 files changed, 79 insertions(+), 71 deletions(-) diff --git a/src/data/AUV.py b/src/data/AUV.py index 79bfb16a..ba1fa8fa 100755 --- a/src/data/AUV.py +++ b/src/data/AUV.py @@ -9,7 +9,7 @@ """ import sys -from datetime import datetime, timezone +from datetime import UTC, datetime import coards import numpy as np @@ -17,7 +17,7 @@ def monotonic_increasing_time_indices(time_array: np.array) -> np.ndarray: monotonic = [] - last_t = 0.0 if isinstance(time_array[0], np.float64) else datetime.min + last_t = 0.0 if isinstance(time_array[0], np.float64) else datetime.min # noqa: DTZ901 for t in time_array: if t > last_t: monotonic.append(True) @@ -29,7 +29,7 @@ def monotonic_increasing_time_indices(time_array: np.array) -> np.ndarray: class AUV: def add_global_metadata(self): - iso_now = datetime.now(timezone.utc).isoformat() + "Z" + iso_now = datetime.now(UTC).isoformat() + "Z" self.nc_file.netcdf_version = "4" self.nc_file.Conventions = "CF-1.6" diff --git a/src/data/calibrate.py b/src/data/calibrate.py index 6dbff4c9..75a5ba27 100755 --- a/src/data/calibrate.py +++ b/src/data/calibrate.py @@ -36,7 +36,7 @@ import time from argparse import RawTextHelpFormatter from collections import OrderedDict -from datetime import datetime, timezone +from datetime import UTC, datetime from pathlib import Path from socket import gethostname from typing import NamedTuple @@ -613,7 +613,7 @@ def global_metadata(self): """ from datetime import datetime - iso_now = datetime.now(tz=timezone.utc).isoformat() + "Z" + iso_now = datetime.now(tz=UTC).isoformat() + "Z" metadata = {} metadata["netcdf_version"] = "4" @@ -839,16 +839,16 @@ class SensorOffset(NamedTuple): # Changes over time if self.args.auv_name.lower().startswith("dorado"): self.sinfo["depth"]["sensor_offset"] = None - if start_datetime >= datetime(2007, 4, 30, tzinfo=timezone.utc): + if start_datetime >= datetime(2007, 4, 30, tzinfo=UTC): # First missions with 10 Gulpers: 2007.120.00 & 2007.120.01 for instr in ("ctd1", "ctd2", "hs2", "lopc", "ecopuck", "isus"): # TODO: Verify the length of the 10-Gulper midsection self.sinfo[instr]["sensor_offset"] = SensorOffset(4.5, 0.0) - if start_datetime >= datetime(2014, 9, 21, tzinfo=timezone.utc): + if start_datetime >= datetime(2014, 9, 21, tzinfo=UTC): # First mission with 20 Gulpers: 2014.265.03 for instr in ("ctd1", "ctd2", "hs2", "lopc", "ecopuck", "isus"): self.sinfo[instr]["sensor_offset"] = SensorOffset(4.5, 0.0) - if start_datetime >= datetime(2010, 6, 29, tzinfo=timezone.utc): + if start_datetime >= datetime(2010, 6, 29, tzinfo=UTC): self.sinfo["biolume"]["flow_conversion"] = 4.49e-4 * 1e3 def _range_qc_combined_nc( @@ -933,7 +933,7 @@ def _range_qc_combined_nc( self.combined_nc = self.combined_nc.drop_vars(qced_vars) self.logger.info("Done range checking %s", instrument) - def _read_data(self, logs_dir, netcdfs_dir): # noqa: C901 + def _read_data(self, logs_dir, netcdfs_dir): # noqa: C901, PLR0912 """Read in all the instrument data into member variables named by "sensor" Access xarray.Dataset like: self.ctd.data, self.navigation.data, ... Access calibration coefficients like: self.ctd.cals.t_f0, or as a @@ -1023,7 +1023,7 @@ def _read_cfg(self, cfg_filename): "Sc", "Da", ): - coeff, value = [s.strip() for s in line.split("=")] + coeff, value = (s.strip() for s in line.split("=")) try: self.logger.debug("Saving %s", line) # Like in Seabird25p.cc use ?_coefs to determine which @@ -1059,7 +1059,10 @@ def _cal_date_xml_files( error_message = "Invalid directory paths provided." raise ValueError(error_message) result = subprocess.run( # noqa: S603 - shlex.split(find_cmd), capture_output=True, text=True, check=True + shlex.split(find_cmd), # noqa: S603 + capture_output=True, + text=True, + check=True, ) xml_files = [x for x in result.stdout.split("\n") if x] if len(xml_files) == 0: @@ -1104,7 +1107,7 @@ def _cal_date_xml_files( cal_date = datetime.strptime( root.find("CalibrationDate").text, "%d-%b-%y", - ).replace(tzinfo=timezone.utc) + ).replace(tzinfo=UTC) except ValueError as e: self.logger.warning( "Cannot parse CalibrationDate, %s", @@ -1117,7 +1120,7 @@ def _cal_date_xml_files( cal_date = datetime.strptime( root.find("CalibrationDate").text[:-1], "%d-%b-%y", - ).replace(tzinfo=timezone.utc) + ).replace(tzinfo=UTC) else: error_message = ( f"Cannot parse CalibrationDate {root.find('CalibrationDate').text}" @@ -1212,7 +1215,10 @@ def _read_oxy_coeffs( # noqa: C901, PLR0912, PLR0915 self.logger.info("Executing: %s ", find_cmd) safe_find_cmd = shlex.split(find_cmd) sensor_dir = subprocess.run( # noqa: S603 - safe_find_cmd, capture_output=True, text=True, check=True + safe_find_cmd, # noqa: S603 + capture_output=True, + text=True, + check=True, ).stdout.strip() self.logger.debug("%s", sensor_dir) @@ -1308,7 +1314,7 @@ def _read_oxy_coeffs( # noqa: C901, PLR0912, PLR0915 for child in eq1: try: setattr(coeffs, child.tag, float(child.text)) - except ValueError: # noqa: PERF203 + except ValueError: setattr(coeffs, child.tag, child.text) return coeffs, cal_dates[cal_date_to_use] @@ -3486,7 +3492,7 @@ def process_logs(self, vehicle: str = "", name: str = "", process_gps: bool = Tr logs_dir = Path(self.args.base_path, vehicle, MISSIONLOGS, name) netcdfs_dir = Path(self.args.base_path, vehicle, MISSIONNETCDFS, name) start_datetime = datetime.strptime(".".join(name.split(".")[:2]), "%Y.%j").astimezone( - timezone.utc, + UTC, ) self._define_sensor_info(start_datetime) self._read_data(logs_dir, netcdfs_dir) diff --git a/src/data/create_products.py b/src/data/create_products.py index 67ea9a05..8c83a7e4 100755 --- a/src/data/create_products.py +++ b/src/data/create_products.py @@ -133,18 +133,18 @@ def _grid_dims(self) -> tuple: # distnav = cumsum(sqrt(dxFix.^2 + dyFix.^2)); % in m # dists = distnav / 1000; % in km - utm_zone = int(31 + (self.ds.cf["longitude"].values.mean() // 6)) + utm_zone = int(31 + (self.ds.cf["longitude"].to_numpy().mean() // 6)) MAX_LONGITUDE_VALUES = 400 - n_subsample = 200 if len(self.ds.cf["longitude"].values) > MAX_LONGITUDE_VALUES else 1 + n_subsample = 200 if len(self.ds.cf["longitude"].to_numpy()) > MAX_LONGITUDE_VALUES else 1 lon_sub_intrp = np.interp( - self.ds.cf["time"].values.astype(np.int64), - self.ds.cf["time"].values[::n_subsample].astype(np.int64), - self.ds.cf["longitude"].values[::n_subsample], + self.ds.cf["time"].to_numpy().astype(np.int64), + self.ds.cf["time"].to_numpy()[::n_subsample].astype(np.int64), + self.ds.cf["longitude"].to_numpy()[::n_subsample], ) lat_sub_intrp = np.interp( - self.ds.cf["time"].values.astype(np.int64), - self.ds.cf["time"].values[::n_subsample].astype(np.int64), - self.ds.cf["latitude"].values[::n_subsample], + self.ds.cf["time"].to_numpy().astype(np.int64), + self.ds.cf["time"].to_numpy()[::n_subsample].astype(np.int64), + self.ds.cf["latitude"].to_numpy()[::n_subsample], ) x, y = pyproj.Proj(proj="utm", zone=utm_zone, ellps="WGS84")( lon_sub_intrp, @@ -155,7 +155,7 @@ def _grid_dims(self) -> tuple: distnav = xr.DataArray( np.cumsum(np.sqrt(dx**2 + dy**2)), dims=("time",), - coords={"time": self.ds.cf["time"].values}, + coords={"time": self.ds.cf["time"].to_numpy()}, attrs={ "long_name": "distance along track", "units": "m", @@ -164,9 +164,9 @@ def _grid_dims(self) -> tuple: # Horizontal gridded to 3x the number of profiles idist = np.linspace( - distnav.values.min(), - distnav.values.max(), - 3 * self.ds["profile_number"].values[-1], + distnav.to_numpy().min(), + distnav.to_numpy().max(), + 3 * self.ds["profile_number"].to_numpy()[-1], ) # Vertical gridded to .5 m iz = np.arange(2.0, self.ds.cf["depth"].max(), 0.5) @@ -188,9 +188,9 @@ def _profile_bottoms( # Create a DataArray of depths indexed by distance depth_dist = xr.DataArray( - self.ds.cf["depth"].values, + self.ds.cf["depth"].to_numpy(), dims=("dist",), - coords={"dist": distnav.values / 1000.0}, + coords={"dist": distnav.to_numpy() / 1000.0}, ) # Set rolling window to fraction of the total distance of the mission window = int(len(distnav) * window_frac) @@ -210,10 +210,12 @@ def _plot_var( # noqa: PLR0913 scale: str = "linear", num_colors: int = 256, ): - var_to_plot = np.log10(self.ds[var].values) if scale == "log" else self.ds[var].values + var_to_plot = ( + np.log10(self.ds[var].to_numpy()) if scale == "log" else self.ds[var].to_numpy() + ) scafac = max(idist) / max(iz) gridded_var = griddata( - (distnav.values / 1000.0 / scafac, self.ds.cf["depth"].values), + (distnav.to_numpy() / 1000.0 / scafac, self.ds.cf["depth"].to_numpy()), var_to_plot, ((idist / scafac / 1000.0)[None, :], iz[:, None]), method="linear", @@ -257,7 +259,7 @@ def _plot_var( # noqa: PLR0913 ) # Blank out the countoured data below the bottom of the profiles xb = np.append( - profile_bottoms.get_index("dist").values, + profile_bottoms.get_index("dist").to_numpy(), [ ax[row, col].get_xlim()[1], ax[row, col].get_xlim()[1], @@ -266,12 +268,12 @@ def _plot_var( # noqa: PLR0913 ], ) yb = np.append( - profile_bottoms.values, + profile_bottoms.to_numpy(), [ - profile_bottoms.values[-1], + profile_bottoms.to_numpy()[-1], ax[row][col].get_ylim()[0], ax[row, col].get_ylim()[0], - profile_bottoms.values[0], + profile_bottoms.to_numpy()[0], ], ) ax[row][col].fill(list(reversed(xb)), list(reversed(yb)), "w") @@ -433,26 +435,26 @@ def gulper_odv(self, sec_bnds: int = 1) -> str: # noqa: C901, PLR0912, PLR0915 if name == "Cruise": f.write(f"{self.args.auv_name}_{self.args.mission}_{FREQ}") elif name == "Station": - f.write(f"{int(gulper_data['profile_number'].values.mean()):d}") + f.write(f"{int(gulper_data['profile_number'].to_numpy().mean()):d}") elif name == "Type": f.write("B") elif name == "mon/day/yr": f.write( - f"{gulper_data.cf['T'][0].dt.month.values:02d}/" - f"{gulper_data.cf['T'][0].dt.day.values:02d}/" - f"{gulper_data.cf['T'][0].dt.year.values}", + f"{gulper_data.cf['T'][0].dt.month.to_numpy():02d}/" + f"{gulper_data.cf['T'][0].dt.day.to_numpy():02d}/" + f"{gulper_data.cf['T'][0].dt.year.to_numpy()}", ) elif name == "hh:mm": f.write( - f"{gulper_data.cf['T'][0].dt.hour.values:02d}:" - f"{gulper_data.cf['T'][0].dt.minute.values:02d}", + f"{gulper_data.cf['T'][0].dt.hour.to_numpy():02d}:" + f"{gulper_data.cf['T'][0].dt.minute.to_numpy():02d}", ) elif name == "Lon (degrees_east)": f.write( - f"{gulper_data.cf['longitude'].values.mean() + 360.0:9.5f}", + f"{gulper_data.cf['longitude'].to_numpy().mean() + 360.0:9.5f}", ) elif name == "Lat (degrees_north)": - f.write(f"{gulper_data.cf['latitude'].values.mean():8.5f}") + f.write(f"{gulper_data.cf['latitude'].to_numpy().mean():8.5f}") elif name == "Bot. Depth [m]": f.write( f"{float(1000):8.1f}", @@ -462,18 +464,18 @@ def gulper_odv(self, sec_bnds: int = 1) -> str: # noqa: C901, PLR0912, PLR0915 elif name == "QF": f.write("0") # TODO: add proper quality flag values elif name == "DEPTH [m]": - f.write(f"{gulper_data.cf['depth'].values.mean():6.2f}") + f.write(f"{gulper_data.cf['depth'].to_numpy().mean():6.2f}") elif name == "TEMPERATURE [°C]": - temp = gulper_data[f"{best_ctd}_temperature"].values.mean() + temp = gulper_data[f"{best_ctd}_temperature"].to_numpy().mean() f.write(f"{temp:5.2f}") elif name == "SALINITY [PSS78]": - sal = gulper_data[f"{best_ctd}_salinity"].values.mean() + sal = gulper_data[f"{best_ctd}_salinity"].to_numpy().mean() f.write(f"{sal:6.3f}") elif name == "Oxygen [ml/l]": - f.write(f"{gulper_data['ctd1_oxygen_mll'].values.mean():5.3f}") + f.write(f"{gulper_data['ctd1_oxygen_mll'].to_numpy().mean():5.3f}") elif name == "NITRATE [µmol/kg]": if "isus_nitrate" in gulper_data: - no3 = gulper_data["isus_nitrate"].dropna(dim="time").values + no3 = gulper_data["isus_nitrate"].dropna(dim="time").to_numpy() if no3.any(): f.write(f"{no3.mean():6.3f}") else: @@ -482,28 +484,28 @@ def gulper_odv(self, sec_bnds: int = 1) -> str: # noqa: C901, PLR0912, PLR0915 f.write("NaN") elif name == "ChlFluor [raw]": if "hs2_fl700" in gulper_data: - f.write(f"{gulper_data['hs2_fl700'].values.mean():11.8f}") + f.write(f"{gulper_data['hs2_fl700'].to_numpy().mean():11.8f}") elif "hs2_fl676" in gulper_data: - f.write(f"{gulper_data['hs2_fl676'].values.mean():.8f}") + f.write(f"{gulper_data['hs2_fl676'].to_numpy().mean():.8f}") else: f.write("NaN") elif name == "bbp420 [m^{-1}]": if "hs2_bb420" in gulper_data: - f.write(f"{gulper_data['hs2_bb420'].values.mean():8.7f}") + f.write(f"{gulper_data['hs2_bb420'].to_numpy().mean():8.7f}") else: f.write("NaN") elif name == "bbp470 [m^{-1}]": - f.write(f"{gulper_data['hs2_bb470'].values.mean():8.7f}") + f.write(f"{gulper_data['hs2_bb470'].to_numpy().mean():8.7f}") elif name == "bbp700 [m^{-1}]": if "hs2_bb700" in gulper_data: - f.write(f"{gulper_data['hs2_bb700'].values.mean():8.7f}") + f.write(f"{gulper_data['hs2_bb700'].to_numpy().mean():8.7f}") else: f.write("NaN") elif name == "bbp676 [m^{-1}]": - f.write(f"{gulper_data['hs2_bb676'].values.mean():8.7f}") + f.write(f"{gulper_data['hs2_bb676'].to_numpy().mean():8.7f}") elif name == "PAR [V]": if "ctd2_par" in gulper_data: - f.write(f"{gulper_data['ctd2_par'].values.mean():6.3f}") + f.write(f"{gulper_data['ctd2_par'].to_numpy().mean():6.3f}") else: f.write("NaN") elif name == "YearDay [day]": @@ -512,7 +514,7 @@ def gulper_odv(self, sec_bnds: int = 1) -> str: # noqa: C901, PLR0912, PLR0915 ) fractional_day = float(fractional_ns) / 86400000000000.0 f.write( - f"{gulper_data.cf['T'][0].dt.dayofyear.values + fractional_day:9.5f}", + f"{gulper_data.cf['T'][0].dt.dayofyear.to_numpy() + fractional_day:9.5f}", # noqa: E501 ) if count < len(odv_column_names) - 1: f.write("\t") diff --git a/src/data/gulper.py b/src/data/gulper.py index 4147e940..ddffb14c 100755 --- a/src/data/gulper.py +++ b/src/data/gulper.py @@ -52,7 +52,7 @@ def mission_start_esecs(self) -> float: ) self.logger.info("Reading mission start time from %s", url) ds = xr.open_dataset(url) - return ds.time[0].values.astype("float64") / 1e9 + return ds.time[0].to_numpy().astype("float64") / 1e9 def parse_gulpers(self, sec_delay: int = 1) -> dict: # noqa: C901, PLR0912, PLR0915 """Parse the Gulper times and bottle numbers from the auvctd syslog file. diff --git a/src/data/hs2_proc.py b/src/data/hs2_proc.py index 4c0dd9de..8c867da1 100644 --- a/src/data/hs2_proc.py +++ b/src/data/hs2_proc.py @@ -30,7 +30,7 @@ def hs2_read_cal_file(cal_filename: Path): category = f"Ch{int(ch_num)}" channels.append(category) elif "=" in line: - name, value = [s.strip() for s in line.split("=")] + name, value = (s.strip() for s in line.split("=")) cals[category][name] = value elif line in ("\n", "[End]\n"): pass @@ -90,7 +90,7 @@ def _get_gains(orig_nc, cals, hs2): def _int_signer(ints_in): # -% signed_int = int_in - 65536*(int_in > 32767); signed_ints = [] - for int_in in ints_in.values: + for int_in in ints_in.to_numpy(): if int_in > 32767: # noqa: PLR2004 signed_ints.append(int_in - 65536) else: diff --git a/src/data/logs2netcdfs.py b/src/data/logs2netcdfs.py index 33f75dd9..28da0359 100755 --- a/src/data/logs2netcdfs.py +++ b/src/data/logs2netcdfs.py @@ -767,7 +767,7 @@ def download_process_logs( # noqa: C901, PLR0912, PLR0915 self.logger.info("Rsyncing %s to %s", src_dir, logs_dir) subprocess.run( # noqa: S603 - ["/usr/bin/rsync", "-av", str(safe_src_dir), str(logs_dir.parent)], + ["/usr/bin/rsync", "-av", str(safe_src_dir), str(logs_dir.parent)], # noqa: S603 check=True, ) else: diff --git a/src/data/lopcMEP.py b/src/data/lopcMEP.py index 598d52b9..0629acc4 100755 --- a/src/data/lopcMEP.py +++ b/src/data/lopcMEP.py @@ -129,7 +129,7 @@ def __init__(self): self.mepList = [] - def extend(self, nL, pL, eL, lL, sL): # noqa: N803 + def extend(self, nL, pL, eL, lL, sL): # noqa: N803, PLR0913 """Extend the member list items with passed in lists""" self.n.extend(nL) self.p.extend(pL) @@ -266,7 +266,7 @@ def toASCII(self): return cstr - def frameToASCII(self, nL, pL, eL, lL, sL): # noqa: N803 + def frameToASCII(self, nL, pL, eL, lL, sL): # noqa: N803,PLR0913 """Convert just the passed in lists to ASCII string""" # Format used in Alex Herman papers diff --git a/src/data/lopcToNetCDF.py b/src/data/lopcToNetCDF.py index 37a9b239..5e4bb948 100755 --- a/src/data/lopcToNetCDF.py +++ b/src/data/lopcToNetCDF.py @@ -1268,7 +1268,7 @@ def unpackLOPCbin(self, binFile, opts, textFile=None): # noqa: C901, N803, PLR0 # function ends. This is why assignments are made to the self.dataStructure # dictionary - that's how we pass information back. - def constructTimestampList( # noqa: C901, PLR0915 + def constructTimestampList( # noqa: C901, PLR0915, PLR0912 self, binFile, # noqa: N803 recCount=None, # noqa: N803 @@ -1525,7 +1525,7 @@ def getMedian(numericValues): # noqa: N803, N805 return (float(lower + upper)) / 2 - def interpolate(self, darray, i, npts, goodValueFcn, spikeValue): # noqa: N803 + def interpolate(self, darray, i, npts, goodValueFcn, spikeValue): # noqa: N803, PLR0913 """Replace `darray[i]` with linearly interpolated value found within `npts` of `i` that is not `spikeValue` based on function in `goodValueFcn` diff --git a/src/data/process.py b/src/data/process.py index 4205f8c4..32e9dbf0 100755 --- a/src/data/process.py +++ b/src/data/process.py @@ -32,7 +32,7 @@ import subprocess import sys import time -from datetime import datetime, timezone +from datetime import UTC, datetime from getpass import getuser from pathlib import Path from socket import gethostname @@ -661,7 +661,7 @@ def process_command_line(self): "--end_year", action="store", type=int, - default=datetime.now().astimezone(timezone.utc).year, + default=datetime.now().astimezone(UTC).year, help="End processing at this year", ) parser.add_argument( diff --git a/src/data/resample.py b/src/data/resample.py index ae07e273..b22bb3be 100755 --- a/src/data/resample.py +++ b/src/data/resample.py @@ -1107,8 +1107,8 @@ def get_mission_start_end( that end more than `min_crit` minutes earlier than the overall mission_end time. """ - mission_start = datetime.max - mission_end = datetime.min + mission_start = datetime.max # noqa: DTZ901 + mission_end = datetime.min # noqa: DTZ901 instrs_to_pad = {} for instr in self.instruments_variables(nc_file): time_coord = f"{instr}_{TIME}" diff --git a/src/data/test_ctd_proc.py b/src/data/test_ctd_proc.py index 976c1f16..3b64dbc8 100644 --- a/src/data/test_ctd_proc.py +++ b/src/data/test_ctd_proc.py @@ -43,7 +43,7 @@ def test_oxsat(mission_data): # 5.710956592071382 assert np.allclose( # noqa: S101 - oxsat.values[:5], + oxsat.to_numpy()[:5], np.array([5.74781474, 5.73779594, 5.72991797, 5.72753987, 5.72684232]), atol=1e-3, ) diff --git a/src/data/usblToNetCDF.py b/src/data/usblToNetCDF.py index 4372bca5..ff3324b8 100755 --- a/src/data/usblToNetCDF.py +++ b/src/data/usblToNetCDF.py @@ -67,7 +67,7 @@ def processRecords(aFile, ncFile): # noqa: N803 se = int(items[1].split(" ")[1].split(":")[2].split(".")[0]) us = int(items[1].split(" ")[1].split(":")[2].split(".")[1]) / 10 * 1000000 # microseconds - t = datetime.datetime(yr, mo, da, hr, mn, se, us, tzinfo=datetime.timezone.utc) + t = datetime.datetime(yr, mo, da, hr, mn, se, us, tzinfo=datetime.UTC) t = t - datetime.timedelta(hours=5) # Try subtracking 5 hours to make local time GMT esec = time.mktime(t.timetuple()) logger.debug("processRecords(): esec = %s", esec) From 23b5b2116dc7e76a5240d7d9ab417e55caf0d060 Mon Sep 17 00:00:00 2001 From: Mike McCann Date: Mon, 9 Jun 2025 13:39:20 -0700 Subject: [PATCH 21/66] Use separate EXPECTED_SIZE_GITHUB and EXPECTED_SIZE_ACT values. --- src/data/test_process_dorado.py | 8 ++++++-- 1 file changed, 6 insertions(+), 2 deletions(-) diff --git a/src/data/test_process_dorado.py b/src/data/test_process_dorado.py index 3450f6f6..d9e67aef 100644 --- a/src/data/test_process_dorado.py +++ b/src/data/test_process_dorado.py @@ -30,11 +30,15 @@ def test_process_dorado(complete_dorado_processing): # but it will alert us if a code change unexpectedly changes the file size. # If code changes are expected to change the file size then we should # update the expected size here. - EXPECTED_SIZE = 621298 + EXPECTED_SIZE_GITHUB = 621298 + EXPECTED_SIZE_ACT = 621298 EXPECTED_SIZE_LOCAL = 621286 if str(proc.args.base_path).startswith("/home/runner"): # The size is different in GitHub Actions, maybe due to different metadata - assert nc_file.stat().st_size == EXPECTED_SIZE # noqa: S101 + assert nc_file.stat().st_size == EXPECTED_SIZE_GITHUB # noqa: S101 + elif str(proc.args.base_path).startswith("/root"): + # The size is different in act, maybe due to different metadata + assert nc_file.stat().st_size == EXPECTED_SIZE_ACT # noqa: S101 else: # The size is different locally, maybe due to different metadata # It's likely that the size will be different on different machines From dfa8abd7f94accda843c34062c58be35634e68bd Mon Sep 17 00:00:00 2001 From: Mike McCann Date: Mon, 9 Jun 2025 13:39:44 -0700 Subject: [PATCH 22/66] Downgrade to Python 3.12. --- .github/workflows/ci.yml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 8ad62253..bc847bac 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -16,7 +16,7 @@ jobs: - name: Set up Python uses: actions/setup-python@v5 with: - python-version: '3.13' + python-version: '3.12' # Changed from '3.13' - name: Install uv uses: astral-sh/setup-uv@v5 @@ -38,7 +38,7 @@ jobs: - name: Set up Python uses: actions/setup-python@v5 with: - python-version: '3.13' + python-version: '3.12' - name: Install uv uses: astral-sh/setup-uv@v5 From 6fbaefb50143d5119b3003cb2bce3a997fec0462 Mon Sep 17 00:00:00 2001 From: Mike McCann Date: Mon, 9 Jun 2025 13:40:15 -0700 Subject: [PATCH 23/66] Use official GitHub pre-commit/action. --- .github/workflows/pre-commit.yml | 17 +++++++++++++++++ 1 file changed, 17 insertions(+) create mode 100644 .github/workflows/pre-commit.yml diff --git a/.github/workflows/pre-commit.yml b/.github/workflows/pre-commit.yml new file mode 100644 index 00000000..b995309c --- /dev/null +++ b/.github/workflows/pre-commit.yml @@ -0,0 +1,17 @@ +name: pre-commit + +on: + pull_request: + push: + branches: [main] + +jobs: + pre-commit: + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v3 + - uses: actions/setup-python@v3 + - uses: pre-commit/action@v3.0.1A + with: + python-version: '3.12' # Changed from '3.13' + additional-dependencies: ruff, ruff-format \ No newline at end of file From 1e04c9ba64ac17ff75d665dd0ccddf02c5f06cee Mon Sep 17 00:00:00 2001 From: Mike McCann Date: Mon, 9 Jun 2025 13:47:27 -0700 Subject: [PATCH 24/66] Correct typo in pre-commit/action version. --- .github/workflows/pre-commit.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/pre-commit.yml b/.github/workflows/pre-commit.yml index b995309c..8448e06f 100644 --- a/.github/workflows/pre-commit.yml +++ b/.github/workflows/pre-commit.yml @@ -11,7 +11,7 @@ jobs: steps: - uses: actions/checkout@v3 - uses: actions/setup-python@v3 - - uses: pre-commit/action@v3.0.1A + - uses: pre-commit/action@v3.0.1 with: python-version: '3.12' # Changed from '3.13' additional-dependencies: ruff, ruff-format \ No newline at end of file From 20f5df7f4770647456152e8aa4cac0ce629018f8 Mon Sep 17 00:00:00 2001 From: Mike McCann Date: Mon, 9 Jun 2025 13:49:59 -0700 Subject: [PATCH 25/66] Remove lint job, rename test to pytest. --- .github/workflows/ci.yml | 24 +----------------------- 1 file changed, 1 insertion(+), 23 deletions(-) diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index bc847bac..3e06a1ec 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -7,29 +7,7 @@ on: pull_request: jobs: - lint: - runs-on: ubuntu-latest - steps: - - name: Checkout code - uses: actions/checkout@v4 - - - name: Set up Python - uses: actions/setup-python@v5 - with: - python-version: '3.12' # Changed from '3.13' - - - name: Install uv - uses: astral-sh/setup-uv@v5 - with: - version: "0.7.11" - - - name: Install dev dependencies - run: uv pip install --system .[dev] - - - name: Run pre-commit - run: pre-commit run --all-files --show-diff-on-failure - - test: + pytest: runs-on: ubuntu-latest steps: - name: Checkout code From 76e46512f9314b49a98adbe4f00eb7f7993e5eb4 Mon Sep 17 00:00:00 2001 From: Mike McCann Date: Mon, 9 Jun 2025 13:50:19 -0700 Subject: [PATCH 26/66] Rename pre-commit to lint. --- .github/workflows/pre-commit.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/pre-commit.yml b/.github/workflows/pre-commit.yml index 8448e06f..61ff0b2f 100644 --- a/.github/workflows/pre-commit.yml +++ b/.github/workflows/pre-commit.yml @@ -6,7 +6,7 @@ on: branches: [main] jobs: - pre-commit: + lint: runs-on: ubuntu-latest steps: - uses: actions/checkout@v3 From 54eeefbbb3786315f7bdcfb4a1308736151355d7 Mon Sep 17 00:00:00 2001 From: Mike McCann Date: Mon, 9 Jun 2025 13:53:59 -0700 Subject: [PATCH 27/66] Use just 'extra_args' to avoid warning in CI. --- .github/workflows/pre-commit.yml | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/.github/workflows/pre-commit.yml b/.github/workflows/pre-commit.yml index 61ff0b2f..b3ff5815 100644 --- a/.github/workflows/pre-commit.yml +++ b/.github/workflows/pre-commit.yml @@ -13,5 +13,4 @@ jobs: - uses: actions/setup-python@v3 - uses: pre-commit/action@v3.0.1 with: - python-version: '3.12' # Changed from '3.13' - additional-dependencies: ruff, ruff-format \ No newline at end of file + extra_args: ruff, ruff-format \ No newline at end of file From 9d2fd9c906a9bf1ad038e645b8814cbdb1bc8d60 Mon Sep 17 00:00:00 2001 From: Mike McCann Date: Mon, 9 Jun 2025 14:01:17 -0700 Subject: [PATCH 28/66] Add python version, remove comma. --- .github/workflows/pre-commit.yml | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/.github/workflows/pre-commit.yml b/.github/workflows/pre-commit.yml index b3ff5815..b8141d2a 100644 --- a/.github/workflows/pre-commit.yml +++ b/.github/workflows/pre-commit.yml @@ -11,6 +11,9 @@ jobs: steps: - uses: actions/checkout@v3 - uses: actions/setup-python@v3 + with: + python-version: '3.12' - uses: pre-commit/action@v3.0.1 with: - extra_args: ruff, ruff-format \ No newline at end of file + extra_args: ruff ruff-format + \ No newline at end of file From 6fadb9bc8ea5ecc60c2d17037dac2da487a3c1ae Mon Sep 17 00:00:00 2001 From: Mike McCann Date: Mon, 9 Jun 2025 14:02:34 -0700 Subject: [PATCH 29/66] Remove ruff-format. --- .github/workflows/pre-commit.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/pre-commit.yml b/.github/workflows/pre-commit.yml index b8141d2a..14bd4473 100644 --- a/.github/workflows/pre-commit.yml +++ b/.github/workflows/pre-commit.yml @@ -15,5 +15,5 @@ jobs: python-version: '3.12' - uses: pre-commit/action@v3.0.1 with: - extra_args: ruff ruff-format + extra_args: ruff \ No newline at end of file From 1a15d1a438b294d763da3c6db54535652de60670 Mon Sep 17 00:00:00 2001 From: Mike McCann Date: Mon, 9 Jun 2025 14:12:33 -0700 Subject: [PATCH 30/66] Add args to ruff. --- .github/workflows/pre-commit.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/pre-commit.yml b/.github/workflows/pre-commit.yml index 14bd4473..14437c74 100644 --- a/.github/workflows/pre-commit.yml +++ b/.github/workflows/pre-commit.yml @@ -15,5 +15,5 @@ jobs: python-version: '3.12' - uses: pre-commit/action@v3.0.1 with: - extra_args: ruff + extra_args: ruff check --fix --exit-zero --config .pre-commit-config.yaml \ No newline at end of file From 77c801b07d9c71496e9ace833ec4b1dde91a6a49 Mon Sep 17 00:00:00 2001 From: Mike McCann Date: Mon, 9 Jun 2025 14:14:49 -0700 Subject: [PATCH 31/66] Correct the ruff args. --- .github/workflows/pre-commit.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/pre-commit.yml b/.github/workflows/pre-commit.yml index 14437c74..d8801fee 100644 --- a/.github/workflows/pre-commit.yml +++ b/.github/workflows/pre-commit.yml @@ -15,5 +15,5 @@ jobs: python-version: '3.12' - uses: pre-commit/action@v3.0.1 with: - extra_args: ruff check --fix --exit-zero --config .pre-commit-config.yaml + extra_args: ruff --config pyproject.toml check . \ No newline at end of file From de428d00b3c336637193ee103444b6457a5cb21e Mon Sep 17 00:00:00 2001 From: Mike McCann Date: Mon, 9 Jun 2025 14:16:54 -0700 Subject: [PATCH 32/66] Okay, don't use ruff arg, use --all-files. --- .github/workflows/pre-commit.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/pre-commit.yml b/.github/workflows/pre-commit.yml index d8801fee..c3b3a8dd 100644 --- a/.github/workflows/pre-commit.yml +++ b/.github/workflows/pre-commit.yml @@ -15,5 +15,5 @@ jobs: python-version: '3.12' - uses: pre-commit/action@v3.0.1 with: - extra_args: ruff --config pyproject.toml check . + extra_args: --all-files \ No newline at end of file From 3d7df23e556ea533dd56a20db3c8ed876d657163 Mon Sep 17 00:00:00 2001 From: Mike McCann Date: Mon, 9 Jun 2025 15:45:12 -0700 Subject: [PATCH 33/66] Use "1s" literal for resample()ing. --- src/data/resample.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/src/data/resample.py b/src/data/resample.py index b22bb3be..be0dc2f5 100755 --- a/src/data/resample.py +++ b/src/data/resample.py @@ -620,7 +620,7 @@ def add_biolume_proxies( # noqa: PLR0913, PLR0915 / flash_count_seconds ) - flow = self.ds[["biolume_flow"]]["biolume_flow"].to_pandas().resample("1S").mean().ffill() + flow = self.ds[["biolume_flow"]]["biolume_flow"].to_pandas().resample("1s").mean().ffill() # Flow sensor is not always on, so fill in 0.0 values with 350 ml/s zero_note = "" @@ -659,7 +659,7 @@ def add_biolume_proxies( # noqa: PLR0913, PLR0915 (all_raw - med_bg_60) .rolling(flash_window, min_periods=0, center=True) .max() - .resample("1S") + .resample("1s") .mean() ) self.logger.info( @@ -678,7 +678,7 @@ def add_biolume_proxies( # noqa: PLR0913, PLR0915 min_periods=0, center=True, ).mean() - bg_biolume = pd.Series(s_min_bg, index=s_biolume_raw.index).resample("1S").mean() + bg_biolume = pd.Series(s_min_bg, index=s_biolume_raw.index).resample("1s").mean() self.logger.info("Saving Background bioluminescence (dinoflagellates proxy)") self.df_r["biolume_bg_biolume"] = bg_biolume.divide(flow) * 1000 self.df_r["biolume_bg_biolume"].attrs["long_name"] = ( @@ -716,7 +716,7 @@ def add_biolume_proxies( # noqa: PLR0913, PLR0915 self.logger.info("Using proxy_cal_factor = %.6f", proxy_cal_factor) nighttime_bg_biolume = ( - pd.Series(s_min_bg, index=nighttime_bl_raw.index).resample("1S").mean() + pd.Series(s_min_bg, index=nighttime_bl_raw.index).resample("1s").mean() ) nighttime_bg_biolume_perliter = nighttime_bg_biolume.divide(flow) * 1000 pseudo_fluorescence = nighttime_bg_biolume_perliter / proxy_ratio_adinos From fa342180586c54290ffc11142b140d2e4fdfdf6e Mon Sep 17 00:00:00 2001 From: Mike McCann Date: Mon, 9 Jun 2025 15:48:00 -0700 Subject: [PATCH 34/66] Remove RuntimeWarnings. Ensure that we have a pos_depths array for getting maxGoodDepth, and ensure that Tr (Transmissivity) is between 0 and 1 before taking its logarithm. --- src/data/calibrate.py | 20 +++++++++++++++----- 1 file changed, 15 insertions(+), 5 deletions(-) diff --git a/src/data/calibrate.py b/src/data/calibrate.py index 75a5ba27..0fae02fa 100755 --- a/src/data/calibrate.py +++ b/src/data/calibrate.py @@ -591,6 +591,7 @@ def _beam_transmittance_from_volts(combined_nc, nc) -> tuple[float, float]: # # Return beam transmittance (Tr) and beam attenuation coefficient (c) Tr = (nc["transmissometer"] - Vd) / (Vref - Vd) + Tr = np.clip(Tr, 0.0, 1.0) # Ensure Tr is between 0 and 1 c = -1 / 0.25 * np.log(Tr) return Tr, c @@ -950,7 +951,9 @@ def _read_data(self, logs_dir, netcdfs_dir): # noqa: C901, PLR0912 sensor, ) try: - sensor_info.orig_data = xr.open_dataset(orig_netcdf_filename) + sensor_info.orig_data = xr.open_dataset( + orig_netcdf_filename, decode_timedelta=False + ) except (FileNotFoundError, ValueError) as e: self.logger.debug( "%-10s: Cannot open file %s: %s", @@ -1245,7 +1248,7 @@ def _read_oxy_coeffs( # noqa: C901, PLR0912, PLR0915 cal_dates[cal_date], cal_date, ) - if np.datetime64(cal_date) > mission_start: + if np.datetime64(cal_date.replace(tzinfo=None)) > mission_start: self.logger.info( "Breaking from loop as %s is after %s with mission_start=%s", cal_dates[cal_date], @@ -1255,7 +1258,7 @@ def _read_oxy_coeffs( # noqa: C901, PLR0912, PLR0915 break cal_date_to_use = cal_date - if np.datetime64(cal_date_to_use) < mission_start: + if np.datetime64(cal_date_to_use.replace(tzinfo=None)) < mission_start: self.logger.info( "File %s is just before %s with mission_start=%s", cal_dates[cal_date_to_use], @@ -1580,13 +1583,20 @@ def _navigation_process(self, sensor): # noqa: C901, PLR0912, PLR0915 self.logger.info("Bypassing Nav QC depth check") maxGoodDepth = 1250 else: - maxGoodDepth = 7 * np.median(pos_depths) + if pos_depths[0].size == 0: + self.logger.warning( + "No positive depths found in %s/navigation.nc", + self.args.mission, + ) + maxGoodDepth = 1250 + else: + maxGoodDepth = 7 * np.median(pos_depths) + self.logger.debug("median of positive valued depths = %s", np.median(pos_depths)) if maxGoodDepth < 0: maxGoodDepth = 100 # Fudge for the 2009.272.00 mission where median was -0.1347! if self.args.mission == "2010.153.01": maxGoodDepth = 1250 # Fudge for 2010.153.01 where the depth was bogus, about 1.3 - self.logger.debug("median of positive valued depths = %s", np.median(pos_depths)) self.logger.debug("Finding depths less than '%s' and times > 0'", maxGoodDepth) if self.args.mission == "2010.172.01": From 8943b8b1169312ca4db468e8a79b196ed074001c Mon Sep 17 00:00:00 2001 From: Mike McCann Date: Mon, 9 Jun 2025 16:16:08 -0700 Subject: [PATCH 35/66] Suppress RuntimeWarnings instead of altering values of Tr. --- src/data/calibrate.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/src/data/calibrate.py b/src/data/calibrate.py index 0fae02fa..e1064298 100755 --- a/src/data/calibrate.py +++ b/src/data/calibrate.py @@ -591,8 +591,8 @@ def _beam_transmittance_from_volts(combined_nc, nc) -> tuple[float, float]: # # Return beam transmittance (Tr) and beam attenuation coefficient (c) Tr = (nc["transmissometer"] - Vd) / (Vref - Vd) - Tr = np.clip(Tr, 0.0, 1.0) # Ensure Tr is between 0 and 1 - c = -1 / 0.25 * np.log(Tr) + with np.errstate(invalid="ignore"): + c = -1 / 0.25 * np.log(Tr) return Tr, c From 0b7bf42d31814d0d1f5d1ea442d76cbdbe577a96 Mon Sep 17 00:00:00 2001 From: Mike McCann Date: Tue, 10 Jun 2025 15:56:41 -0700 Subject: [PATCH 36/66] Remove top level files no longer used. --- LAYOUT.md | 57 ----------------------------------------- bitbucket-pipelines.yml | 16 ------------ ci-docker-compose.yml | 14 ---------- test.sh | 8 ------ tox.ini | 3 --- 5 files changed, 98 deletions(-) delete mode 100644 LAYOUT.md delete mode 100644 bitbucket-pipelines.yml delete mode 100644 ci-docker-compose.yml delete mode 100755 test.sh delete mode 100644 tox.ini diff --git a/LAYOUT.md b/LAYOUT.md deleted file mode 100644 index df80a33f..00000000 --- a/LAYOUT.md +++ /dev/null @@ -1,57 +0,0 @@ -auv-python -========== - -Python code for processing MBARI AUV instrument data - -Project Organization --------------------- - - ├── LICENSE - ├── Makefile <- Makefile with commands like `make data` or `make train` - ├── README.md <- The top-level README for developers using this project. - ├── data - │   ├── external <- Data from third party sources. - │   ├── interim <- Intermediate data that has been transformed. - │   ├── processed <- The final, canonical data sets for modeling. - │   └── raw <- The original, immutable data dump. - │ - ├── docs <- A default Sphinx project; see sphinx-doc.org for details - │ - ├── models <- Trained and serialized models, model predictions, or model summaries - │ - ├── notebooks <- Jupyter notebooks. Naming convention is a number (for ordering), - │ the creator's initials, and a short `-` delimited description, e.g. - │ `1.0-jqp-initial-data-exploration`. - │ - ├── references <- Data dictionaries, manuals, and all other explanatory materials. - │ - ├── reports <- Generated analysis as HTML, PDF, LaTeX, etc. - │   └── figures <- Generated graphics and figures to be used in reporting - │ - ├── requirements.txt <- The requirements file for reproducing the analysis environment, e.g. - │ generated with `pip freeze > requirements.txt` - │ - ├── setup.py <- makes project pip installable (pip install -e .) so src can be imported - ├── src <- Source code for use in this project. - │   ├── __init__.py <- Makes src a Python module - │ │ - │   ├── data <- Scripts to download or generate data - │   │   └── make_dataset.py - │ │ - │   ├── features <- Scripts to turn raw data into features for modeling - │   │   └── build_features.py - │ │ - │   ├── models <- Scripts to train models and then use trained models to make - │ │ │ predictions - │   │   ├── predict_model.py - │   │   └── train_model.py - │ │ - │   └── visualization <- Scripts to create exploratory and results oriented visualizations - │   └── visualize.py - │ - └── tox.ini <- tox file with settings for running tox; see tox.readthedocs.io - - --------- - -

Project based on the cookiecutter data science project template. #cookiecutterdatascience

diff --git a/bitbucket-pipelines.yml b/bitbucket-pipelines.yml deleted file mode 100644 index 23f5bf2f..00000000 --- a/bitbucket-pipelines.yml +++ /dev/null @@ -1,16 +0,0 @@ -# Check our guides at https://confluence.atlassian.com/x/x4UWN for more examples. -# Only use spaces to indent your .yml configuration. -# ----- -# You can specify a custom docker image from Docker Hub as your build environment. -image: python:3.8.2 - -pipelines: - default: - - step: - caches: - - pip - script: # Modify the commands below to build your repository. - - python -m pip install --upgrade pip - - pip install poetry - - poetry install - - poetry run ./test.sh diff --git a/ci-docker-compose.yml b/ci-docker-compose.yml deleted file mode 100644 index 038ed8e5..00000000 --- a/ci-docker-compose.yml +++ /dev/null @@ -1,14 +0,0 @@ -# ci-docker-compose.yml: Does not include production required docker_user & mounts -version: "3.4" - -volumes: - local_auvctd_data: {} - -services: - auvpython: - build: - context: . - dockerfile: ./docker/Dockerfile-ci - image: auvpython_ci - volumes: - - local_auvctd_data:/data diff --git a/test.sh b/test.sh deleted file mode 100755 index c349d23b..00000000 --- a/test.sh +++ /dev/null @@ -1,8 +0,0 @@ -#!/bin/bash -echo "Download and process a mission to use for testing..." -cd src/data -python logs2netcdfs.py --auv_name Dorado389 --mission 2020.245.00 --portal http://stoqs.mbari.org:8080/auvdata/v1 \ - --base_path ../../data/auv_data --clobber --noinput -v -echo "Run tests..." -python -m pytest -exit $? diff --git a/tox.ini b/tox.ini deleted file mode 100644 index c32fbd85..00000000 --- a/tox.ini +++ /dev/null @@ -1,3 +0,0 @@ -[flake8] -max-line-length = 79 -max-complexity = 10 From 5ecd9f9f7a23f32b055d6f151ad82ca0730d7f3b Mon Sep 17 00:00:00 2001 From: Mike McCann Date: Tue, 10 Jun 2025 15:57:03 -0700 Subject: [PATCH 37/66] Add jupyter. --- pyproject.toml | 1 + uv.lock | 1069 +++++++++++++++++++++++++++++++++++++++++++++++- 2 files changed, 1061 insertions(+), 9 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index faaf766a..b6be925a 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -15,6 +15,7 @@ dependencies = [ "defusedxml>=0.7.1", "gitpython>=3.1.44", "hvplot>=0.11.3", + "jupyter>=1.1.1", "netcdf4>=1.7.2", "numpy>=2.2.6", "pyproj>=3.7.1", diff --git a/uv.lock b/uv.lock index e0eaad68..530decda 100644 --- a/uv.lock +++ b/uv.lock @@ -66,6 +66,93 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/ec/6a/bc7e17a3e87a2985d3e8f4da4cd0f481060eb78fb08596c42be62c90a4d9/aiosignal-1.3.2-py2.py3-none-any.whl", hash = "sha256:45cde58e409a301715980c2b01d0c28bdde3770d8290b5eb2173759d9acb31a5", size = 7597, upload-time = "2024-12-13T17:10:38.469Z" }, ] +[[package]] +name = "anyio" +version = "4.9.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "idna" }, + { name = "sniffio" }, + { name = "typing-extensions" }, +] +sdist = { url = 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Not sure if this will be kept. Any new git commit hash in the metadata will cause this to fail. --- src/data/test_process_dorado.py | 18 ++++++++++++++++++ 1 file changed, 18 insertions(+) diff --git a/src/data/test_process_dorado.py b/src/data/test_process_dorado.py index d9e67aef..bf9c0af7 100644 --- a/src/data/test_process_dorado.py +++ b/src/data/test_process_dorado.py @@ -1,4 +1,5 @@ # noqa: INP001 +import hashlib from pathlib import Path from time import time @@ -45,3 +46,20 @@ def test_process_dorado(complete_dorado_processing): # as these kind of metadata items are added to nc_file: # NC_GLOBAL.history: Created by /Users/mccann/GitHub/auv-python/src/data/process_dorado.py ... # noqa: E501 assert nc_file.stat().st_size == EXPECTED_SIZE_LOCAL # noqa: S101 + + # Check that the MD5 hash has not changed + EXPECTED_MD5_GITHUB = "d9754a20d1c8ac6ddbb1a62d75aa507e" + EXPECTED_MD5_ACT = "ec95eabdc1450aefee4667808bc46d92" + EXPECTED_MD5_LOCAL = "d9754a20d1c8ac6ddbb1a62d75aa507e" + if str(proc.args.base_path).startswith("/home/runner"): + # The MD5 hash is different in GitHub Actions, maybe due to different metadata + assert hashlib.md5(open(nc_file, "rb").read()).hexdigest() == EXPECTED_MD5_GITHUB # noqa: PTH123, S101, S324, SIM115 + elif str(proc.args.base_path).startswith("/root"): + # The MD5 hash is different in act, maybe due to different metadata + assert hashlib.md5(open(nc_file, "rb").read()).hexdigest() == EXPECTED_MD5_ACT # noqa: PTH123, S101, S324, SIM115 + else: + # The MD5 hash is different locally, maybe due to different metadata + # It's likely that the hash will be different on different machines + # as these kind of metadata items are added to nc_file: + # NC_GLOBAL.history: Created by /Users/mccann/GitHub/auv-python/src/data/process_dorado.py ... # noqa: E501 + assert hashlib.md5(open(nc_file, "rb").read()).hexdigest() == EXPECTED_MD5_LOCAL # noqa: PTH123, S101, S324, SIM115 From 661e2fb1a323b20723ec0ec0f1de942a4dee1281 Mon Sep 17 00:00:00 2001 From: Mike McCann Date: Tue, 10 Jun 2025 15:59:04 -0700 Subject: [PATCH 39/66] Test processing with new uv-update code. --- .vscode/launch.json | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/.vscode/launch.json b/.vscode/launch.json index cd9f72e1..10a857e9 100644 --- a/.vscode/launch.json +++ b/.vscode/launch.json @@ -262,13 +262,13 @@ //"args": ["-v", "1", "--noinput", "--start_year", "2016", "--end_year", "2016", "--start_yd", "270", "--end_yd", "270", "--num_cores", "1", "--create_products", "--archive", "--archive_only_products"] //"args": ["-v", "1", "--noinput", "--num_cores", "1", "--mission", "2023.285.01"] //"args": ["-v", "1", "--noinput", "--no_cleanup", "--mission", "2018.079.00"] - //"args": ["-v", "1", "--noinput", "--no_cleanup", "--mission", "2024.317.01"] + "args": ["-v", "1", "--noinput", "--no_cleanup", "--mission", "2024.317.01", "--clobber"] //"args": ["-v", "1", "--noinput", "--no_cleanup", "--mission", "2016.090.01", "--resample", "--archive", "--flash_threshold", "3E10"] //"args": ["-v", "1", "--noinput", "--num_cores", "8"] //"args": ["-v", "1", "--noinput", "--no_cleanup", "--mission", "2011.256.02", "--clobber"] //"args": ["-v", "1", "--noinput", "--no_cleanup", "--mission", "2010.341.00", "--download_process", "--local"] //"args": ["-v", "1", "--noinput", "--no_cleanup", "--mission", "2020.337.00", "--clobber"] - "args": ["-v", "1", "--noinput", "--no_cleanup", "--mission", "2008.010.10"] + //"args": ["-v", "1", "--noinput", "--no_cleanup", "--mission", "2008.010.10"] }, ] From 4ff0681e07098ec0ab218252c572e869b1ebe329 Mon Sep 17 00:00:00 2001 From: Mike McCann Date: Tue, 10 Jun 2025 16:55:25 -0700 Subject: [PATCH 40/66] Changed for using python3.12 in uv-update. --- notebooks/1.0-mpm-logs2netcdfs.ipynb | 24 ++++++++++++++---------- 1 file changed, 14 insertions(+), 10 deletions(-) diff --git a/notebooks/1.0-mpm-logs2netcdfs.ipynb b/notebooks/1.0-mpm-logs2netcdfs.ipynb index 47686a92..245c819b 100644 --- a/notebooks/1.0-mpm-logs2netcdfs.ipynb +++ b/notebooks/1.0-mpm-logs2netcdfs.ipynb @@ -7,11 +7,7 @@ "### Plot data from the netCDF conversions of the original log files\n", "This Notebook will let you make time series plots of any of the variables from any of the intruments from the processed data available on your computer. Before running you need to first execute the `logs2netcdfs.py` program to download and process data from the rawdata archive; use the `-v` option to monitor its progress, otherwise it works silently.\n", "\n", - "To run this Notebook:\n", - "- Install with instructions at https://bitbucket.org/mbari/auv-python\n", - "- `cd auv-python`\n", - "- `poetry install && poetry shell`\n", - "- `cd notebooks && jupyter notebook 1.0-mpm-logs2netcdfs.ipynb`" + "To run this Notebook follow instructions at https://github.com/mbari-org/auv-python." ] }, { @@ -34,7 +30,8 @@ "# Pick auv_name available from locally processed files\n", "try:\n", " auv_picker = widgets.Dropdown(options=[f for f in sorted(os.listdir(BASE_PATH))\n", - " if f != '.DS_Store'], description='AUV Name:')\n", + " if f not in ['.DS_Store', '.pytest_cache']],\n", + " description='AUV Name:')\n", " display(auv_picker)\n", "except FileNotFoundError:\n", " print(f\"No locally processed missions found in {BASE_PATH} -- cannot continue.\")\n", @@ -44,7 +41,13 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "editable": true, + "slideshow": { + "slide_type": "" + }, + "tags": [] + }, "outputs": [], "source": [ "# Pick mission available for the auv_name\n", @@ -67,7 +70,7 @@ "for lf in LOG_FILES:\n", " nc_file = lf.replace('.log', '.nc')\n", " try:\n", - " ncs[nc_file] = xr.open_dataset(os.path.join(netcdfs_dir, nc_file))\n", + " ncs[nc_file] = xr.open_dataset(os.path.join(netcdfs_dir, nc_file), decode_timedelta=False)\n", " except FileNotFoundError:\n", " pass\n", " except ValueError as e:\n", @@ -141,7 +144,8 @@ "hash": "0e88a3c760aba6ca9f3c3c0e4efdae2f2c9ba294b5b63f4f016b5adb40bc1793" }, "kernelspec": { - "display_name": "Python 3.8.5 64-bit ('auv-python-s1xEUhIL-py3.8': poetry)", + "display_name": "Python 3 (ipykernel)", + "language": "python", "name": "python3" }, "language_info": { @@ -154,7 +158,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.11" + "version": "3.12.10" } }, "nbformat": 4, From 5f48ae75487321aaaa3a4cedfcc1f590327a7e81 Mon Sep 17 00:00:00 2001 From: Mike McCann Date: Tue, 10 Jun 2025 16:55:58 -0700 Subject: [PATCH 41/66] Update following replacing poetry with uv. --- README.md | 127 +++++++++++++++++++++++++++++---------------- TROUBLESHOOTING.md | 4 +- 2 files changed, 84 insertions(+), 47 deletions(-) diff --git a/README.md b/README.md index 38f48306..cda4fb80 100644 --- a/README.md +++ b/README.md @@ -2,6 +2,7 @@ ![auv-python tests](https://github.com/mbari-org/auv-python/actions/workflows/ci.yml/badge.svg) +## Background ### The code here is used to process the Monterey Bay Aquarium Research Institute's Autonomous Underwater Vehicle instrument AUV data from the original log files recorded by the vehicle's main vehicle @@ -18,7 +19,7 @@ The goals of this are: * Able to use for any Dorado class vehicle: Gulper, i2map, mapping * Both ship-based local file and production MBARI network execution * Decouple quick-look plot generation -- this code does mainly data processing -* Anciallary plot generation may be done in order to validate the processing +* Ancillary plot generation may be done in order to validate the processing * All available metadata written to netCDF attributes, including new XML cals * Decouple plumbing lag settings from the code * Enable easy reprocessing of segments of the archive @@ -29,61 +30,95 @@ The goals of this are: This [slide deck](https://docs.google.com/presentation/d/1pYqrfa3pJw4KtgGbZMKW7zjr9cESR3GjoSUNJWJh2UY/edit?usp=sharing) gives some background on the motivation for these goals. -### How do I use this ### +## Use on a development workstation ### -To install on a workstation: +For installation on a development workstation several system level binary +libraries must be installed before the Python packages can be installed. +On MacOS an easy way to do this is with [Mac Ports](https://www.macports.org/). +Follow the installation instructions there and make sure that at least these packages +are installed: uv, netcdf4, geos, proj and Python 3.12. -* Install Python 3.10 on your system (Brew, Anaconda, etc) -* On a Mac install necessary brew packages: netcdf4, geos, proj, ... -* Install Poetry (https://python-poetry.org/docs/#installation) -* mkdir ~/dev # create a directory for your repositories +### Installation ### +Then clone this repo, install the software, and test it: +* mkdir ~/dev # Create a directory for your repositories * cd ~/dev -* git clone git@github.com:mbari-org/auv-python.git +* git clone git@github.com:mbari-org/auv-python.git * cd auv-python -* poetry install - -The above steps need to be done just once on a system. Afterwards and whenever -opening a new terminal execute these commands before executing the programs or -running the Jupyter Notebooks: - -* cd ~/dev/auv-python -* poetry shell - -First time use with Docker on a server: - - sudo -u stoqsadm -i - cd /opt/auv-python # After cloning to this directory - -Create a .env file with the following contents: - - M3_VOL= - AUVCTD_VOL= - CALIBRATION_VOL= - WORK_VOL=/data +* uv sync +* uv run pytest # Note: local testing requires internal MBARI volume mounts + +The above steps need to be done just once on a system. To execute any +of the Python scripts in `auv-pyhton/src/data` preceed it with `uv run`, e.g. to +print out the usage information for each of the processing scripts: + + `uv run src/data/logs2netcdfs.py --help` + `uv run src/data/calibrate.py --help` + `uv run src/data/align.py --help` + `uv run src/data/resample.py --help` + `uv run src/data/archive.py --help` + `uv run src/data/process_i2map.py --help` + `uv run src/data/process_dorado.py --help` + +See [WORKFLOW.md](WORKFLOW.md) for more details on the data processing workflow. + +### Jupyter Notebooks ### +To run the Jupyter Notebooks, start Jupyter Lab at the command line with: + +`uv run jupyter lab` + +A browser window will open from which you can open and execute the files in +the notebooks folder. Before commiting notebooks the outputs should be removed +first. There are tools for doing this, but I like to manually do a "Kernel → +Restart Kernel and Clear Outputs of All Cells..." then "File → Save Notebook" +before checking the diffs (use command line `git diff`, not VS Code's diff) and +committing to the repository. The output cells +can contain large amount of data and it's best to not have that in the repo. + +### VS Code ### +Develop using VS code: +* cd auv-python +* code . +* Make sure that the ./.venv/bin/python interpreter is being used +* See [TROUBLESHOOTING.md](TROUBLESHOOTING.md) for more details -Then run: +### Contributing ### +This git workflow is recommended: +* Fork the git@github.com:mbari-org/auv-python.git repo to your GitHub account +* Add your remote to your working directory after renaming the forked repo to `upstream`: + `git remote rename origin upstream` + `git remote add -f git@github.com:/auv-python.git origin` - export DOCKER_USER_ID=$(id -u) - docker compose build - docker compose run --rm auvpython python src/data/process_i2map.py --help +Then use VS Code or your choice of editor to edit, test, and commit code. +Push changes to your remote repo on GitHub and make a Pull Request to have +it merged into the main upstream branch. -The following commands are available: -* src/data/logs2netcdfs.py --help # 1.0 - help for first processing step -* src/data/calibrate.py --help # 2.0 - help for second processing step -* src/data/align.py --help # 3.0 - help for third processing step -* src/data/resample.py --help # 4.0 - help for fourth processing step -* src/data/archive.py --help # 5.0 - help for fifth processing step -* src/data/process_i2map.py --help # Process i2MAP data -* src/data/process_dorado.py --help # Process Dorado/Gulper data +## Use with Docker - as on a production server ### -See the Jupyter Notebooks in the notebooks directory for data visualization and analysis tools that are available. +First time use with Docker on a server using a service account: +* sudo -u docker_user -i +* cd /opt # There should be an `auv-python` directory here that is writable by docker_user +* git clone git@github.com:mbari-org/auv-python.git +* cd auv-python +* Create a .env file in `/opt/auv-python` with the following contents: + `M3_VOL=` + `AUVCTD_VOL=` + `CALIBRATION_VOL=` + `WORK_VOL=/data` + +After installation and when logging into the server again mission data can be processed thusly: +* Setting up environment and printing help message: + `sudo -u docker_user -i` + `cd /opt/auv-python` + `git pull` # To get new changes, e.g. mission added to src/data/dorado_info.py + `export DOCKER_USER_ID=$(id -u)` + `docker compose build` + `docker compose run --rm auvpython python src/data/process_i2map.py --help` +* To actually process a mission and have the processed data copied to the archive use the `-v` and `--clobber` options, e.g.: + `docker compose run --rm auvpython python src/data/process_dorado.py --mission 2025.139.04 -v --clobber` -To use in VS Code, make sure that the proper poetry shell is selected with the -Command palette command: "Python: select interpreter". -- -Mike McCann - -18 January 2024 +Mike McCann +10 June 2025 diff --git a/TROUBLESHOOTING.md b/TROUBLESHOOTING.md index 40bbc171..eee85c00 100644 --- a/TROUBLESHOOTING.md +++ b/TROUBLESHOOTING.md @@ -1,6 +1,8 @@ # Troubleshooting auv-python -These instructions describe how to work with this project in VS Code. +These instructions describe how to work with this project in VS Code. Installing the dependencies with `uv sync` +results in a `.venv` directory being added to the auv-python project directory. Make sure that your VS Code +is using it by doing Cmd+Shift+P → Python: Select Interpreter → choose ./.venv/bin/python. ## Process a mission and have intermediate files available for local debugging From 151c8f39ffec35431d2c668208ccef5e5eed4b12 Mon Sep 17 00:00:00 2001 From: Mike McCann Date: Wed, 11 Jun 2025 08:19:04 -0700 Subject: [PATCH 42/66] Removed as contributing instructions are now in README.md. --- CONTRIBUTING.md | 75 ------------------------------------------------- 1 file changed, 75 deletions(-) delete mode 100644 CONTRIBUTING.md diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md deleted file mode 100644 index 8d7c48aa..00000000 --- a/CONTRIBUTING.md +++ /dev/null @@ -1,75 +0,0 @@ -Instructions for contributing to the auv-python project -======================================================= - -### Setting up your development system - -1. Build a development system following - [these instructions](https://bitbucket.org/mbari/auv-python/src/master/README.md) - -2. Fork the repository after logging into BitBucket by clicking on the 3 dots and - selecting "Fork this repository": https://bitbucket.org/mbari/auv-python/fork - -3. Recommended: Generate SSH keys on your development system following the instructions at - https://bitbucket.org/account/settings/ssh-keys/. Add your public key to your - BitBucket Personal settings. - -4. Rename the existing `origin` remote to `upstream`: - - cd $AUV_PYTHON_HOME - git remote rename origin upstream - -5. Assign `origin` remote to your forked repository: - - git remote add -f origin - - Replace \ with the URI shown from the "Clone" button on your - BitBucket page. - -### Contributing follows a [typical BitBucket workflow](https://support.atlassian.com/bitbucket-cloud/docs/workflow-for-git-feature-branching/) - -1. cd into your working directory, e.g.: - - cd $AUV_PYTHON_HOME - -2. Create a branch off of main for the new feature: - - git checkout main - git checkout -b - -3. Work on your feature; add and commit as you write code and test it. (Creating a new - branch is not strictly necessary, but it makes it easy to isolate the changes from - other changes that are to be merged into upstream.) - -4. Push the new branch to your fork on GitHub: - - git push origin - -6. Share your contribution with others by issuing a - [pull request](https://support.atlassian.com/bitbucket-cloud/docs/use-pull-requests-for-code-review/) - Click the "Create pull request" button in the Pull requests section on your BitBucket page. - -### Synchronizing with upstream - -You should periodically pull changes to your workspace from the upstream remote. These -commands will synchronize your fork with upstream, including any local changes you have -committed: - - git checkout main - git pull upstream main - git push origin - -After this you can use the GitHub web interface to visualize differences between your -fork and upstream and submit a Pull Request. - -If a lot of changes have happened upstream and you have local commits that you have -not made public you may want to do a `rebase` instead of `merge`. A `rebase` will -replay your local changes on top of what is in upstream, e.g.: - - git fetch upstream - git rebase upstream/main - -or - `git rebase upstream/`, if a lot of upstream development is happening on another branch - -WARNING: This will rewrite commit history, so should only be done if your local commits -have not been made public. From f967ec9751d2391087c119673813180d44e732ff Mon Sep 17 00:00:00 2001 From: Mike McCann Date: Wed, 11 Jun 2025 08:19:57 -0700 Subject: [PATCH 43/66] Remove unused files created by cookiecutter-data-science. --- docs/Makefile | 153 ------------------------- docs/commands.rst | 10 -- docs/conf.py | 241 --------------------------------------- docs/getting-started.rst | 6 - docs/index.rst | 24 ---- docs/make.bat | 190 ------------------------------ references/.gitkeep | 0 reports/.gitkeep | 0 reports/figures/.gitkeep | 0 template.env | 5 - test_environment.py | 25 ---- 11 files changed, 654 deletions(-) delete mode 100644 docs/Makefile delete mode 100644 docs/commands.rst delete mode 100644 docs/conf.py delete mode 100644 docs/getting-started.rst delete mode 100644 docs/index.rst delete mode 100644 docs/make.bat delete mode 100644 references/.gitkeep delete mode 100644 reports/.gitkeep delete mode 100644 reports/figures/.gitkeep delete mode 100644 template.env delete mode 100644 test_environment.py diff --git a/docs/Makefile b/docs/Makefile deleted file mode 100644 index fa605b11..00000000 --- a/docs/Makefile +++ /dev/null @@ -1,153 +0,0 @@ -# Makefile for Sphinx documentation -# - -# You can set these variables from the command line. -SPHINXOPTS = -SPHINXBUILD = sphinx-build -PAPER = -BUILDDIR = _build - -# Internal variables. -PAPEROPT_a4 = -D latex_paper_size=a4 -PAPEROPT_letter = -D latex_paper_size=letter -ALLSPHINXOPTS = -d $(BUILDDIR)/doctrees $(PAPEROPT_$(PAPER)) $(SPHINXOPTS) . -# the i18n builder cannot share the environment and doctrees with the others -I18NSPHINXOPTS = $(PAPEROPT_$(PAPER)) $(SPHINXOPTS) . - -.PHONY: help clean html dirhtml singlehtml pickle json htmlhelp qthelp devhelp epub latex latexpdf text man changes linkcheck doctest gettext - -help: - @echo "Please use \`make ' where is one of" - @echo " html to make standalone HTML files" - @echo " dirhtml to make HTML files named index.html in directories" - @echo " singlehtml to make a single large HTML file" - @echo " pickle to make pickle files" - @echo " json to make JSON files" - @echo " htmlhelp to make HTML files and a HTML help project" - @echo " qthelp to make HTML files and a qthelp project" - @echo " devhelp to make HTML files and a Devhelp project" - @echo " epub to make an epub" - @echo " latex to make LaTeX files, you can set PAPER=a4 or PAPER=letter" - @echo " latexpdf to make LaTeX files and run them through pdflatex" - @echo " text to make text files" - @echo " man to make manual pages" - @echo " texinfo to make Texinfo files" - @echo " info to make Texinfo files and run them through makeinfo" - @echo " gettext to make PO message catalogs" - @echo " changes to make an overview of all changed/added/deprecated items" - @echo " linkcheck to check all external links for integrity" - @echo " doctest to run all doctests embedded in the documentation (if enabled)" - -clean: - -rm -rf $(BUILDDIR)/* - -html: - $(SPHINXBUILD) -b html $(ALLSPHINXOPTS) $(BUILDDIR)/html - @echo - @echo "Build finished. The HTML pages are in $(BUILDDIR)/html." - -dirhtml: - $(SPHINXBUILD) -b dirhtml $(ALLSPHINXOPTS) $(BUILDDIR)/dirhtml - @echo - @echo "Build finished. The HTML pages are in $(BUILDDIR)/dirhtml." - -singlehtml: - $(SPHINXBUILD) -b singlehtml $(ALLSPHINXOPTS) $(BUILDDIR)/singlehtml - @echo - @echo "Build finished. The HTML page is in $(BUILDDIR)/singlehtml." - -pickle: - $(SPHINXBUILD) -b pickle $(ALLSPHINXOPTS) $(BUILDDIR)/pickle - @echo - @echo "Build finished; now you can process the pickle files." - -json: - $(SPHINXBUILD) -b json $(ALLSPHINXOPTS) $(BUILDDIR)/json - @echo - @echo "Build finished; now you can process the JSON files." - -htmlhelp: - $(SPHINXBUILD) -b htmlhelp $(ALLSPHINXOPTS) $(BUILDDIR)/htmlhelp - @echo - @echo "Build finished; now you can run HTML Help Workshop with the" \ - ".hhp project file in $(BUILDDIR)/htmlhelp." - -qthelp: - $(SPHINXBUILD) -b qthelp $(ALLSPHINXOPTS) $(BUILDDIR)/qthelp - @echo - @echo "Build finished; now you can run "qcollectiongenerator" with the" \ - ".qhcp project file in $(BUILDDIR)/qthelp, like this:" - @echo "# qcollectiongenerator $(BUILDDIR)/qthelp/auv-python.qhcp" - @echo "To view the help file:" - @echo "# assistant -collectionFile $(BUILDDIR)/qthelp/auv-python.qhc" - -devhelp: - $(SPHINXBUILD) -b devhelp $(ALLSPHINXOPTS) $(BUILDDIR)/devhelp - @echo - @echo "Build finished." - @echo "To view the help file:" - @echo "# mkdir -p $$HOME/.local/share/devhelp/auv-python" - @echo "# ln -s $(BUILDDIR)/devhelp $$HOME/.local/share/devhelp/auv-python" - @echo "# devhelp" - -epub: - $(SPHINXBUILD) -b epub $(ALLSPHINXOPTS) $(BUILDDIR)/epub - @echo - @echo "Build finished. The epub file is in $(BUILDDIR)/epub." - -latex: - $(SPHINXBUILD) -b latex $(ALLSPHINXOPTS) $(BUILDDIR)/latex - @echo - @echo "Build finished; the LaTeX files are in $(BUILDDIR)/latex." - @echo "Run \`make' in that directory to run these through (pdf)latex" \ - "(use \`make latexpdf' here to do that automatically)." - -latexpdf: - $(SPHINXBUILD) -b latex $(ALLSPHINXOPTS) $(BUILDDIR)/latex - @echo "Running LaTeX files through pdflatex..." - $(MAKE) -C $(BUILDDIR)/latex all-pdf - @echo "pdflatex finished; the PDF files are in $(BUILDDIR)/latex." - -text: - $(SPHINXBUILD) -b text $(ALLSPHINXOPTS) $(BUILDDIR)/text - @echo - @echo "Build finished. The text files are in $(BUILDDIR)/text." - -man: - $(SPHINXBUILD) -b man $(ALLSPHINXOPTS) $(BUILDDIR)/man - @echo - @echo "Build finished. The manual pages are in $(BUILDDIR)/man." - -texinfo: - $(SPHINXBUILD) -b texinfo $(ALLSPHINXOPTS) $(BUILDDIR)/texinfo - @echo - @echo "Build finished. The Texinfo files are in $(BUILDDIR)/texinfo." - @echo "Run \`make' in that directory to run these through makeinfo" \ - "(use \`make info' here to do that automatically)." - -info: - $(SPHINXBUILD) -b texinfo $(ALLSPHINXOPTS) $(BUILDDIR)/texinfo - @echo "Running Texinfo files through makeinfo..." - make -C $(BUILDDIR)/texinfo info - @echo "makeinfo finished; the Info files are in $(BUILDDIR)/texinfo." - -gettext: - $(SPHINXBUILD) -b gettext $(I18NSPHINXOPTS) $(BUILDDIR)/locale - @echo - @echo "Build finished. The message catalogs are in $(BUILDDIR)/locale." - -changes: - $(SPHINXBUILD) -b changes $(ALLSPHINXOPTS) $(BUILDDIR)/changes - @echo - @echo "The overview file is in $(BUILDDIR)/changes." - -linkcheck: - $(SPHINXBUILD) -b linkcheck $(ALLSPHINXOPTS) $(BUILDDIR)/linkcheck - @echo - @echo "Link check complete; look for any errors in the above output " \ - "or in $(BUILDDIR)/linkcheck/output.txt." - -doctest: - $(SPHINXBUILD) -b doctest $(ALLSPHINXOPTS) $(BUILDDIR)/doctest - @echo "Testing of doctests in the sources finished, look at the " \ - "results in $(BUILDDIR)/doctest/output.txt." diff --git a/docs/commands.rst b/docs/commands.rst deleted file mode 100644 index 2d162f36..00000000 --- a/docs/commands.rst +++ /dev/null @@ -1,10 +0,0 @@ -Commands -======== - -The Makefile contains the central entry points for common tasks related to this project. - -Syncing data to S3 -^^^^^^^^^^^^^^^^^^ - -* `make sync_data_to_s3` will use `aws s3 sync` to recursively sync files in `data/` up to `s3://[OPTIONAL] your-bucket-for-syncing-data (do not include 's3://')/data/`. -* `make sync_data_from_s3` will use `aws s3 sync` to recursively sync files from `s3://[OPTIONAL] your-bucket-for-syncing-data (do not include 's3://')/data/` to `data/`. diff --git a/docs/conf.py b/docs/conf.py deleted file mode 100644 index b766dbb7..00000000 --- a/docs/conf.py +++ /dev/null @@ -1,241 +0,0 @@ -# noqa: INP001 -# auv-python documentation build configuration file, created by -# sphinx-quickstart. -# -# This file is execfile()d with the current directory set to its containing dir. -# -# Note that not all possible configuration values are present in this -# autogenerated file. -# -# All configuration values have a default; values that are commented out -# serve to show the default. - - -# If extensions (or modules to document with autodoc) are in another directory, -# add these directories to sys.path here. If the directory is relative to the -# documentation root, use os.path.abspath to make it absolute, like shown here. -# sys.path.insert(0, os.path.abspath('.')) - -# -- General configuration ----------------------------------------------------- - -# If your documentation needs a minimal Sphinx version, state it here. -# needs_sphinx = '1.0' - -# Add any Sphinx extension module names here, as strings. They can be extensions -# coming with Sphinx (named 'sphinx.ext.*') or your custom ones. -extensions = [] - -# Add any paths that contain templates here, relative to this directory. -templates_path = ["_templates"] - -# The suffix of source filenames. -source_suffix = ".rst" - -# The encoding of source files. -# source_encoding = 'utf-8-sig' - -# The master toctree document. -master_doc = "index" - -# General information about the project. -project = "auv-python" - -# The version info for the project you're documenting, acts as replacement for -# |version| and |release|, also used in various other places throughout the -# built documents. -# -# The short X.Y version. -version = "0.1" -# The full version, including alpha/beta/rc tags. -release = "0.1" - -# The language for content autogenerated by Sphinx. Refer to documentation -# for a list of supported languages. -# language = None - -# There are two options for replacing |today|: either, you set today to some -# non-false value, then it is used: -# today = '' -# Else, today_fmt is used as the format for a strftime call. -# today_fmt = '%B %d, %Y' - -# List of patterns, relative to source directory, that match files and -# directories to ignore when looking for source files. -exclude_patterns = ["_build"] - -# The reST default role (used for this markup: `text`) to use for all documents. -# default_role = None - -# If true, '()' will be appended to :func: etc. cross-reference text. -# add_function_parentheses = True - -# If true, the current module name will be prepended to all description -# unit titles (such as .. function::). -# add_module_names = True - -# If true, sectionauthor and moduleauthor directives will be shown in the -# output. They are ignored by default. -# show_authors = False - -# The name of the Pygments (syntax highlighting) style to use. -pygments_style = "sphinx" - -# A list of ignored prefixes for module index sorting. -# modindex_common_prefix = [] - - -# -- Options for HTML output --------------------------------------------------- - -# The theme to use for HTML and HTML Help pages. See the documentation for -# a list of builtin themes. -html_theme = "default" - -# Theme options are theme-specific and customize the look and feel of a theme -# further. For a list of options available for each theme, see the -# documentation. -# html_theme_options = {} - -# Add any paths that contain custom themes here, relative to this directory. -# html_theme_path = [] - -# The name for this set of Sphinx documents. If None, it defaults to -# " v documentation". -# html_title = None - -# A shorter title for the navigation bar. Default is the same as html_title. -# html_short_title = None - -# The name of an image file (relative to this directory) to place at the top -# of the sidebar. -# html_logo = None - -# The name of an image file (within the static path) to use as favicon of the -# docs. This file should be a Windows icon file (.ico) being 16x16 or 32x32 -# pixels large. -# html_favicon = None - -# Add any paths that contain custom static files (such as style sheets) here, -# relative to this directory. They are copied after the builtin static files, -# so a file named "default.css" will overwrite the builtin "default.css". -html_static_path = ["_static"] - -# If not '', a 'Last updated on:' timestamp is inserted at every page bottom, -# using the given strftime format. -# html_last_updated_fmt = '%b %d, %Y' - -# If true, SmartyPants will be used to convert quotes and dashes to -# typographically correct entities. -# html_use_smartypants = True - -# Custom sidebar templates, maps document names to template names. -# html_sidebars = {} - -# Additional templates that should be rendered to pages, maps page names to -# template names. -# html_additional_pages = {} - -# If false, no module index is generated. -# html_domain_indices = True - -# If false, no index is generated. -# html_use_index = True - -# If true, the index is split into individual pages for each letter. -# html_split_index = False - -# If true, links to the reST sources are added to the pages. -# html_show_sourcelink = True - -# If true, "Created using Sphinx" is shown in the HTML footer. Default is True. -# html_show_sphinx = True - -# If true, "(C) Copyright ..." is shown in the HTML footer. Default is True. -# html_show_copyright = True - -# If true, an OpenSearch description file will be output, and all pages will -# contain a tag referring to it. The value of this option must be the -# base URL from which the finished HTML is served. -# html_use_opensearch = '' - -# This is the file name suffix for HTML files (e.g. ".xhtml"). -# html_file_suffix = None - -# Output file base name for HTML help builder. -htmlhelp_basename = "auv-pythondoc" - - -# -- Options for LaTeX output -------------------------------------------------- - -latex_elements = { - # The paper size ('letterpaper' or 'a4paper'). - # 'papersize': 'letterpaper', - # The font size ('10pt', '11pt' or '12pt'). - # 'pointsize': '10pt', - # Additional stuff for the LaTeX preamble. - # 'preamble': '', -} - -# Grouping the document tree into LaTeX files. List of tuples -# (source start file, target name, title, author, documentclass [howto/manual]). -latex_documents = [ - ("index", "auv-python.tex", "auv-python Documentation", "Mike McCann", "manual"), -] - -# The name of an image file (relative to this directory) to place at the top of -# the title page. -# latex_logo = None - -# For "manual" documents, if this is true, then toplevel headings are parts, -# not chapters. -# latex_use_parts = False - -# If true, show page references after internal links. -# latex_show_pagerefs = False - -# If true, show URL addresses after external links. -# latex_show_urls = False - -# Documents to append as an appendix to all manuals. -# latex_appendices = [] - -# If false, no module index is generated. -# latex_domain_indices = True - - -# -- Options for manual page output -------------------------------------------- - -# One entry per manual page. List of tuples -# (source start file, name, description, authors, manual section). -man_pages = [ - ("index", "auv-python", "auv-python Documentation", ["Mike McCann"], 1), -] - -# If true, show URL addresses after external links. -# man_show_urls = False - - -# -- Options for Texinfo output ------------------------------------------------ - -# Grouping the document tree into Texinfo files. List of tuples -# (source start file, target name, title, author, -# dir menu entry, description, category) -texinfo_documents = [ - ( - "index", - "auv-python", - "auv-python Documentation", - "Mike McCann", - "auv-python", - "Python code for processing MBARI AUV instrument data", - "Miscellaneous", - ), -] - -# Documents to append as an appendix to all manuals. -# texinfo_appendices = [] - -# If false, no module index is generated. -# texinfo_domain_indices = True - -# How to display URL addresses: 'footnote', 'no', or 'inline'. -# texinfo_show_urls = 'footnote' diff --git a/docs/getting-started.rst b/docs/getting-started.rst deleted file mode 100644 index b4f71c3a..00000000 --- a/docs/getting-started.rst +++ /dev/null @@ -1,6 +0,0 @@ -Getting started -=============== - -This is where you describe how to get set up on a clean install, including the -commands necessary to get the raw data (using the `sync_data_from_s3` command, -for example), and then how to make the cleaned, final data sets. diff --git a/docs/index.rst b/docs/index.rst deleted file mode 100644 index 0daf1eee..00000000 --- a/docs/index.rst +++ /dev/null @@ -1,24 +0,0 @@ -.. auv-python documentation master file, created by - sphinx-quickstart. - You can adapt this file completely to your liking, but it should at least - contain the root `toctree` directive. - -auv-python documentation! -============================================== - -Contents: - -.. toctree:: - :maxdepth: 2 - - getting-started - commands - - - -Indices and tables -================== - -* :ref:`genindex` -* :ref:`modindex` -* :ref:`search` diff --git a/docs/make.bat b/docs/make.bat deleted file mode 100644 index dcc5b15c..00000000 --- a/docs/make.bat +++ /dev/null @@ -1,190 +0,0 @@ -@ECHO OFF - -REM Command file for Sphinx documentation - -if "%SPHINXBUILD%" == "" ( - set SPHINXBUILD=sphinx-build -) -set BUILDDIR=_build -set ALLSPHINXOPTS=-d %BUILDDIR%/doctrees %SPHINXOPTS% . -set I18NSPHINXOPTS=%SPHINXOPTS% . -if NOT "%PAPER%" == "" ( - set ALLSPHINXOPTS=-D latex_paper_size=%PAPER% %ALLSPHINXOPTS% - set I18NSPHINXOPTS=-D latex_paper_size=%PAPER% %I18NSPHINXOPTS% -) - -if "%1" == "" goto help - -if "%1" == "help" ( - :help - echo.Please use `make ^` where ^ is one of - echo. html to make standalone HTML files - echo. dirhtml to make HTML files named index.html in directories - echo. singlehtml to make a single large HTML file - echo. pickle to make pickle files - echo. json to make JSON files - echo. htmlhelp to make HTML files and a HTML help project - echo. qthelp to make HTML files and a qthelp project - echo. devhelp to make HTML files and a Devhelp project - echo. epub to make an epub - echo. latex to make LaTeX files, you can set PAPER=a4 or PAPER=letter - echo. text to make text files - echo. man to make manual pages - echo. texinfo to make Texinfo files - echo. gettext to make PO message catalogs - echo. changes to make an overview over all changed/added/deprecated items - echo. linkcheck to check all external links for integrity - echo. doctest to run all doctests embedded in the documentation if enabled - goto end -) - -if "%1" == "clean" ( - for /d %%i in (%BUILDDIR%\*) do rmdir /q /s %%i - del /q /s %BUILDDIR%\* - goto end -) - -if "%1" == "html" ( - %SPHINXBUILD% -b html %ALLSPHINXOPTS% %BUILDDIR%/html - if errorlevel 1 exit /b 1 - echo. - echo.Build finished. The HTML pages are in %BUILDDIR%/html. - goto end -) - -if "%1" == "dirhtml" ( - %SPHINXBUILD% -b dirhtml %ALLSPHINXOPTS% %BUILDDIR%/dirhtml - if errorlevel 1 exit /b 1 - echo. - echo.Build finished. The HTML pages are in %BUILDDIR%/dirhtml. - goto end -) - -if "%1" == "singlehtml" ( - %SPHINXBUILD% -b singlehtml %ALLSPHINXOPTS% %BUILDDIR%/singlehtml - if errorlevel 1 exit /b 1 - echo. - echo.Build finished. The HTML pages are in %BUILDDIR%/singlehtml. - goto end -) - -if "%1" == "pickle" ( - %SPHINXBUILD% -b pickle %ALLSPHINXOPTS% %BUILDDIR%/pickle - if errorlevel 1 exit /b 1 - echo. - echo.Build finished; now you can process the pickle files. - goto end -) - -if "%1" == "json" ( - %SPHINXBUILD% -b json %ALLSPHINXOPTS% %BUILDDIR%/json - if errorlevel 1 exit /b 1 - echo. - echo.Build finished; now you can process the JSON files. - goto end -) - -if "%1" == "htmlhelp" ( - %SPHINXBUILD% -b htmlhelp %ALLSPHINXOPTS% %BUILDDIR%/htmlhelp - if errorlevel 1 exit /b 1 - echo. - echo.Build finished; now you can run HTML Help Workshop with the ^ -.hhp project file in %BUILDDIR%/htmlhelp. - goto end -) - -if "%1" == "qthelp" ( - %SPHINXBUILD% -b qthelp %ALLSPHINXOPTS% %BUILDDIR%/qthelp - if errorlevel 1 exit /b 1 - echo. - echo.Build finished; now you can run "qcollectiongenerator" with the ^ -.qhcp project file in %BUILDDIR%/qthelp, like this: - echo.^> qcollectiongenerator %BUILDDIR%\qthelp\auv-python.qhcp - echo.To view the help file: - echo.^> assistant -collectionFile %BUILDDIR%\qthelp\auv-python.ghc - goto end -) - -if "%1" == "devhelp" ( - %SPHINXBUILD% -b devhelp %ALLSPHINXOPTS% %BUILDDIR%/devhelp - if errorlevel 1 exit /b 1 - echo. - echo.Build finished. - goto end -) - -if "%1" == "epub" ( - %SPHINXBUILD% -b epub %ALLSPHINXOPTS% %BUILDDIR%/epub - if errorlevel 1 exit /b 1 - echo. - echo.Build finished. The epub file is in %BUILDDIR%/epub. - goto end -) - -if "%1" == "latex" ( - %SPHINXBUILD% -b latex %ALLSPHINXOPTS% %BUILDDIR%/latex - if errorlevel 1 exit /b 1 - echo. - echo.Build finished; the LaTeX files are in %BUILDDIR%/latex. - goto end -) - -if "%1" == "text" ( - %SPHINXBUILD% -b text %ALLSPHINXOPTS% %BUILDDIR%/text - if errorlevel 1 exit /b 1 - echo. - echo.Build finished. The text files are in %BUILDDIR%/text. - goto end -) - -if "%1" == "man" ( - %SPHINXBUILD% -b man %ALLSPHINXOPTS% %BUILDDIR%/man - if errorlevel 1 exit /b 1 - echo. - echo.Build finished. The manual pages are in %BUILDDIR%/man. - goto end -) - -if "%1" == "texinfo" ( - %SPHINXBUILD% -b texinfo %ALLSPHINXOPTS% %BUILDDIR%/texinfo - if errorlevel 1 exit /b 1 - echo. - echo.Build finished. The Texinfo files are in %BUILDDIR%/texinfo. - goto end -) - -if "%1" == "gettext" ( - %SPHINXBUILD% -b gettext %I18NSPHINXOPTS% %BUILDDIR%/locale - if errorlevel 1 exit /b 1 - echo. - echo.Build finished. The message catalogs are in %BUILDDIR%/locale. - goto end -) - -if "%1" == "changes" ( - %SPHINXBUILD% -b changes %ALLSPHINXOPTS% %BUILDDIR%/changes - if errorlevel 1 exit /b 1 - echo. - echo.The overview file is in %BUILDDIR%/changes. - goto end -) - -if "%1" == "linkcheck" ( - %SPHINXBUILD% -b linkcheck %ALLSPHINXOPTS% %BUILDDIR%/linkcheck - if errorlevel 1 exit /b 1 - echo. - echo.Link check complete; look for any errors in the above output ^ -or in %BUILDDIR%/linkcheck/output.txt. - goto end -) - -if "%1" == "doctest" ( - %SPHINXBUILD% -b doctest %ALLSPHINXOPTS% %BUILDDIR%/doctest - if errorlevel 1 exit /b 1 - echo. - echo.Testing of doctests in the sources finished, look at the ^ -results in %BUILDDIR%/doctest/output.txt. - goto end -) - -:end diff --git a/references/.gitkeep b/references/.gitkeep deleted file mode 100644 index e69de29b..00000000 diff --git a/reports/.gitkeep b/reports/.gitkeep deleted file mode 100644 index e69de29b..00000000 diff --git a/reports/figures/.gitkeep b/reports/figures/.gitkeep deleted file mode 100644 index e69de29b..00000000 diff --git a/template.env b/template.env deleted file mode 100644 index d31ab798..00000000 --- a/template.env +++ /dev/null @@ -1,5 +0,0 @@ -# Template for your .env file. Copy it to .env and make appropriate edits there -# These settings are required by the docker-compose.yml file and will be deployment specific -M3_VOL=/Volumes/M3 -AUVCTD_VOL=/Volumes/AUVCTD -WORK_VOL=/opt/docker_auv-python_vols/data diff --git a/test_environment.py b/test_environment.py deleted file mode 100644 index eac77a72..00000000 --- a/test_environment.py +++ /dev/null @@ -1,25 +0,0 @@ -import sys - -REQUIRED_PYTHON = "python3" - - -def main(): - system_major = sys.version_info.major - if REQUIRED_PYTHON == "python": - required_major = 2 - elif REQUIRED_PYTHON == "python3": - required_major = 3 - else: - error_message = f"Unrecognized python interpreter: {REQUIRED_PYTHON}" - raise ValueError(error_message) - - if system_major != required_major: - error_message = ( - f"This project requires Python {required_major}. Found: Python {sys.version}" - ) - raise TypeError(error_message) - print(">>> Development environment passes all tests!") # noqa: T201 - - -if __name__ == "__main__": - main() From 1f88b4b9c2257ad88392aa93bd86796743426b18 Mon Sep 17 00:00:00 2001 From: Mike McCann Date: Wed, 11 Jun 2025 08:20:25 -0700 Subject: [PATCH 44/66] Update Copyright date and change to MBARI. --- LICENSE | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/LICENSE b/LICENSE index 6ae5758e..4270c6a7 100644 --- a/LICENSE +++ b/LICENSE @@ -1,5 +1,5 @@ -Copyright (c) 2021, Mike McCann +Copyright (c) 2025, Monterey Bay Aquarium Research Institute All rights reserved. Redistribution and use in source and binary forms, with or without modification, From 518d6f0a5e495677acc4eef835174e59724a56c2 Mon Sep 17 00:00:00 2001 From: Mike McCann Date: Wed, 11 Jun 2025 08:28:31 -0700 Subject: [PATCH 45/66] Makefile is not used. --- Makefile | 144 ------------------------------------------------------- 1 file changed, 144 deletions(-) delete mode 100644 Makefile diff --git a/Makefile b/Makefile deleted file mode 100644 index f6755556..00000000 --- a/Makefile +++ /dev/null @@ -1,144 +0,0 @@ -.PHONY: clean data lint requirements sync_data_to_s3 sync_data_from_s3 - -################################################################################# -# GLOBALS # -################################################################################# - -PROJECT_DIR := $(shell dirname $(realpath $(lastword $(MAKEFILE_LIST)))) -BUCKET = [OPTIONAL] your-bucket-for-syncing-data (do not include 's3://') -PROFILE = default -PROJECT_NAME = auv-python -PYTHON_INTERPRETER = python3 - -ifeq (,$(shell which conda)) -HAS_CONDA=False -else -HAS_CONDA=True -endif - -################################################################################# -# COMMANDS # -################################################################################# - -## Install Python Dependencies -requirements: test_environment - $(PYTHON_INTERPRETER) -m pip install -U pip setuptools wheel - $(PYTHON_INTERPRETER) -m pip install -r requirements.txt - -## Make Dataset -data: requirements - $(PYTHON_INTERPRETER) src/data/make_dataset.py data/raw data/processed - -## Delete all compiled Python files -clean: - find . -type f -name "*.py[co]" -delete - find . -type d -name "__pycache__" -delete - -## Lint using flake8 -lint: - flake8 src - -## Upload Data to S3 -sync_data_to_s3: -ifeq (default,$(PROFILE)) - aws s3 sync data/ s3://$(BUCKET)/data/ -else - aws s3 sync data/ s3://$(BUCKET)/data/ --profile $(PROFILE) -endif - -## Download Data from S3 -sync_data_from_s3: -ifeq (default,$(PROFILE)) - aws s3 sync s3://$(BUCKET)/data/ data/ -else - aws s3 sync s3://$(BUCKET)/data/ data/ --profile $(PROFILE) -endif - -## Set up python interpreter environment -create_environment: -ifeq (True,$(HAS_CONDA)) - @echo ">>> Detected conda, creating conda environment." -ifeq (3,$(findstring 3,$(PYTHON_INTERPRETER))) - conda create --name $(PROJECT_NAME) python=3 -else - conda create --name $(PROJECT_NAME) python=2.7 -endif - @echo ">>> New conda env created. Activate with:\nsource activate $(PROJECT_NAME)" -else - $(PYTHON_INTERPRETER) -m pip install -q virtualenv virtualenvwrapper - @echo ">>> Installing virtualenvwrapper if not already installed.\nMake sure the following lines are in shell startup file\n\ - export WORKON_HOME=$$HOME/.virtualenvs\nexport PROJECT_HOME=$$HOME/Devel\nsource /usr/local/bin/virtualenvwrapper.sh\n" - @bash -c "source `which virtualenvwrapper.sh`;mkvirtualenv $(PROJECT_NAME) --python=$(PYTHON_INTERPRETER)" - @echo ">>> New virtualenv created. Activate with:\nworkon $(PROJECT_NAME)" -endif - -## Test python environment is setup correctly -test_environment: - $(PYTHON_INTERPRETER) test_environment.py - -################################################################################# -# PROJECT RULES # -################################################################################# - - - -################################################################################# -# Self Documenting Commands # -################################################################################# - -.DEFAULT_GOAL := help - -# Inspired by -# sed script explained: -# /^##/: -# * save line in hold space -# * purge line -# * Loop: -# * append newline + line to hold space -# * go to next line -# * if line starts with doc comment, strip comment character off and loop -# * remove target prerequisites -# * append hold space (+ newline) to line -# * replace newline plus comments by `---` -# * print line -# Separate expressions are necessary because labels cannot be delimited by -# semicolon; see -.PHONY: help -help: - @echo "$$(tput bold)Available rules:$$(tput sgr0)" - @echo - @sed -n -e "/^## / { \ - h; \ - s/.*//; \ - :doc" \ - -e "H; \ - n; \ - s/^## //; \ - t doc" \ - -e "s/:.*//; \ - G; \ - s/\\n## /---/; \ - s/\\n/ /g; \ - p; \ - }" ${MAKEFILE_LIST} \ - | LC_ALL='C' sort --ignore-case \ - | awk -F '---' \ - -v ncol=$$(tput cols) \ - -v indent=19 \ - -v col_on="$$(tput setaf 6)" \ - -v col_off="$$(tput sgr0)" \ - '{ \ - printf "%s%*s%s ", col_on, -indent, $$1, col_off; \ - n = split($$2, words, " "); \ - line_length = ncol - indent; \ - for (i = 1; i <= n; i++) { \ - line_length -= length(words[i]) + 1; \ - if (line_length <= 0) { \ - line_length = ncol - indent - length(words[i]) - 1; \ - printf "\n%*s ", -indent, " "; \ - } \ - printf "%s ", words[i]; \ - } \ - printf "\n"; \ - }' \ - | more $(shell test $(shell uname) = Darwin && echo '--no-init --raw-control-chars') From e99cc672877d068ea64bc1cd098483eb9f5587b2 Mon Sep 17 00:00:00 2001 From: Mike McCann Date: Wed, 11 Jun 2025 08:28:45 -0700 Subject: [PATCH 46/66] A few revisions. --- README.md | 17 +++++++++-------- 1 file changed, 9 insertions(+), 8 deletions(-) diff --git a/README.md b/README.md index cda4fb80..4c47253b 100644 --- a/README.md +++ b/README.md @@ -51,13 +51,13 @@ The above steps need to be done just once on a system. To execute any of the Python scripts in `auv-pyhton/src/data` preceed it with `uv run`, e.g. to print out the usage information for each of the processing scripts: - `uv run src/data/logs2netcdfs.py --help` - `uv run src/data/calibrate.py --help` - `uv run src/data/align.py --help` - `uv run src/data/resample.py --help` - `uv run src/data/archive.py --help` - `uv run src/data/process_i2map.py --help` - `uv run src/data/process_dorado.py --help` + uv run src/data/logs2netcdfs.py --help + uv run src/data/calibrate.py --help + uv run src/data/align.py --help + uv run src/data/resample.py --help + uv run src/data/archive.py --help + uv run src/data/process_i2map.py --help + uv run src/data/process_dorado.py --help See [WORKFLOW.md](WORKFLOW.md) for more details on the data processing workflow. @@ -90,7 +90,8 @@ This git workflow is recommended: Then use VS Code or your choice of editor to edit, test, and commit code. Push changes to your remote repo on GitHub and make a Pull Request to have -it merged into the main upstream branch. +it merged into the main upstream branch. It's also nice to have a GitHub Issue +to reference in the PR, this helps provide context for the proposed changes. ## Use with Docker - as on a production server ### From c30d73b68ea9e936a129e2dc2892583c4017b944 Mon Sep 17 00:00:00 2001 From: Mike McCann Date: Wed, 11 Jun 2025 09:56:01 -0700 Subject: [PATCH 47/66] Update to python3.12. --- notebooks/1.1-mpm-logs2netcdfs-ssds.ipynb | 17 +++++++---------- 1 file changed, 7 insertions(+), 10 deletions(-) diff --git a/notebooks/1.1-mpm-logs2netcdfs-ssds.ipynb b/notebooks/1.1-mpm-logs2netcdfs-ssds.ipynb index 28a45b6d..cfd4f791 100644 --- a/notebooks/1.1-mpm-logs2netcdfs-ssds.ipynb +++ b/notebooks/1.1-mpm-logs2netcdfs-ssds.ipynb @@ -5,11 +5,7 @@ "metadata": {}, "source": [ "### Plot data from the netCDF conversions of the original log files and compare with SSDS generated version\n", - "To run this Notebook:\n", - "- Install with instructions at https://bitbucket.org/mbari/auv-python\n", - "- `cd auv-python`\n", - "- `poetry install && poetry shell`\n", - "- `cd notebooks && jupyter notebook 3.0-mpm-logs2netcdfs-ssds.ipynb`" + "To run this Notebook follow instructions at https://github.com/mbari-org/auv-python." ] }, { @@ -31,7 +27,7 @@ "\n", "# Pick auv_name available from locally processed files\n", "auv_picker = widgets.Dropdown(options=[f for f in sorted(os.listdir(BASE_PATH))\n", - " if f != '.DS_Store'])\n", + " if f not in ['.DS_Store', '.pytest_cache']])\n", "display(auv_picker)" ] }, @@ -70,12 +66,12 @@ " nc_file = lf.replace('.log', '.nc')\n", " try:\n", " nc_url = os.path.join(netcdfs_dir, nc_file)\n", - " ncs[nc_file] = xr.open_dataset(nc_url)\n", + " ncs[nc_file] = xr.open_dataset(nc_url, decode_timedelta=False)\n", " except (FileNotFoundError, OSError):\n", " print(f'{nc_url} not found')\n", " try:\n", " dd_url = os.path.join(ssds_path, nc_file)\n", - " dds[nc_file] = xr.open_dataset(dd_url)\n", + " dds[nc_file] = xr.open_dataset(dd_url, decode_timedelta=False)\n", " except (FileNotFoundError, OSError):\n", " print(f'{dd_url} not found')" ] @@ -151,7 +147,8 @@ "hash": "0e88a3c760aba6ca9f3c3c0e4efdae2f2c9ba294b5b63f4f016b5adb40bc1793" }, "kernelspec": { - "display_name": "Python 3.8.5 64-bit ('auv-python-s1xEUhIL-py3.8': poetry)", + "display_name": "Python 3 (ipykernel)", + "language": "python", "name": "python3" }, "language_info": { @@ -164,7 +161,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.5" + "version": "3.12.10" } }, "nbformat": 4, From 1f542a1bec556fcc50cbd5dab4f4b70cbc37f63e Mon Sep 17 00:00:00 2001 From: Mike McCann Date: Wed, 11 Jun 2025 09:57:16 -0700 Subject: [PATCH 48/66] Updating this Notebook required 'uv add ipympl'. --- notebooks/2.0-mpm-calibrate.ipynb | 14 +++++--------- pyproject.toml | 1 + uv.lock | 19 +++++++++++++++++++ 3 files changed, 25 insertions(+), 9 deletions(-) diff --git a/notebooks/2.0-mpm-calibrate.ipynb b/notebooks/2.0-mpm-calibrate.ipynb index ae2e2a67..dc9a8415 100644 --- a/notebooks/2.0-mpm-calibrate.ipynb +++ b/notebooks/2.0-mpm-calibrate.ipynb @@ -6,11 +6,7 @@ "metadata": {}, "source": [ "### Plot calibrated variables against original data \n", - "To run this Notebook:\n", - "- Install with instructions at https://bitbucket.org/mbari/auv-python\n", - "- `cd auv-python`\n", - "- `poetry install && poetry shell`\n", - "- `cd notebooks && jupyter notebook 2.0-mpm-calibrate.ipynb`" + "To run this Notebook follow instructions at https://github.com/mbari-org/auv-python." ] }, { @@ -33,7 +29,7 @@ "\n", "# Pick auv_name available from locally processed files\n", "auv_picker = widgets.Dropdown(options=[f for f in sorted(os.listdir(BASE_PATH))\n", - " if f != '.DS_Store'])\n", + " if f not in ['.DS_Store', '.pytest_cache']])\n", "display(auv_picker)" ] }, @@ -65,13 +61,13 @@ "for lf in LOG_FILES:\n", " nc_file = lf.replace('.log', '.nc')\n", " try:\n", - " ncs[nc_file] = xr.open_dataset(os.path.join(netcdfs_dir, nc_file))\n", + " ncs[nc_file] = xr.open_dataset(os.path.join(netcdfs_dir, nc_file), decode_timedelta=False)\n", " except FileNotFoundError:\n", " pass\n", " \n", "cal_nc = f\"{auv_name}_{mission}_cal.nc\"\n", "ncs[cal_nc] = xr.open_dataset(os.path.join(netcdfs_dir, cal_nc))\n", - "# display(ncs[cal_nc]) # Uncomment to explore dataset" + "display(ncs[cal_nc]) # Uncomment to explore dataset" ] }, { @@ -158,7 +154,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.11" + "version": "3.12.10" } }, "nbformat": 4, diff --git a/pyproject.toml b/pyproject.toml index b6be925a..036ee8e1 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -15,6 +15,7 @@ dependencies = [ "defusedxml>=0.7.1", "gitpython>=3.1.44", "hvplot>=0.11.3", + "ipympl>=0.9.7", "jupyter>=1.1.1", "netcdf4>=1.7.2", "numpy>=2.2.6", diff --git a/uv.lock b/uv.lock index 530decda..2f7fce0e 100644 --- a/uv.lock +++ b/uv.lock @@ -176,6 +176,7 @@ dependencies = [ { name = "defusedxml" }, { name = "gitpython" }, { name = "hvplot" }, + { name = "ipympl" }, { name = "jupyter" }, { name = "netcdf4" }, { name = "numpy" }, @@ -202,6 +203,7 @@ requires-dist = [ { name = "defusedxml", specifier = ">=0.7.1" }, { name = "gitpython", specifier = ">=3.1.44" }, { name = "hvplot", specifier = ">=0.11.3" }, + { name = "ipympl", specifier = ">=0.9.7" }, { name = "jupyter", specifier = ">=1.1.1" }, { name = "netcdf4", specifier = ">=1.7.2" }, { name = "numpy", specifier = ">=2.2.6" }, @@ -740,6 +742,23 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/94/5c/368ae6c01c7628438358e6d337c19b05425727fbb221d2a3c4303c372f42/ipykernel-6.29.5-py3-none-any.whl", hash = "sha256:afdb66ba5aa354b09b91379bac28ae4afebbb30e8b39510c9690afb7a10421b5", size = 117173, upload-time = "2024-07-01T14:07:19.603Z" }, ] +[[package]] +name = "ipympl" +version = "0.9.7" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "ipython" }, + { name = "ipywidgets" }, + { name = "matplotlib" }, + { name = "numpy" }, + { name = "pillow" }, + { name = "traitlets" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/39/1b/acd3d481869d614a7acbb831bd9304411eae47b05d7607db989613028788/ipympl-0.9.7.tar.gz", hash = "sha256:3e505a56b6e9a7bfc4d40c1a861a0547adb16820eb67ec79131335dd0a5084f0", size = 58547447, upload-time = "2025-03-05T03:51:14.609Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/86/6b/21c62f1b2b5e18c6553f7364487dfdf7eb7952b1000a1b7863c1f97819e9/ipympl-0.9.7-py3-none-any.whl", hash = "sha256:3698ee7eaa0b047a7603517d7aa1b71b32118a5f51754cab45ec5d994f67208f", size = 515702, upload-time = "2025-03-05T03:50:48.616Z" }, +] + [[package]] name = "ipython" version = "9.3.0" From 6579787435312fb6542cad159157d7f5bc84a753 Mon Sep 17 00:00:00 2001 From: Mike McCann Date: Wed, 11 Jun 2025 10:01:06 -0700 Subject: [PATCH 49/66] Try a new value for EXPECTED_MD5_GITHUB. --- src/data/test_process_dorado.py | 34 +++++++++++++++++---------------- 1 file changed, 18 insertions(+), 16 deletions(-) diff --git a/src/data/test_process_dorado.py b/src/data/test_process_dorado.py index bf9c0af7..16ca9bcf 100644 --- a/src/data/test_process_dorado.py +++ b/src/data/test_process_dorado.py @@ -47,19 +47,21 @@ def test_process_dorado(complete_dorado_processing): # NC_GLOBAL.history: Created by /Users/mccann/GitHub/auv-python/src/data/process_dorado.py ... # noqa: E501 assert nc_file.stat().st_size == EXPECTED_SIZE_LOCAL # noqa: S101 - # Check that the MD5 hash has not changed - EXPECTED_MD5_GITHUB = "d9754a20d1c8ac6ddbb1a62d75aa507e" - EXPECTED_MD5_ACT = "ec95eabdc1450aefee4667808bc46d92" - EXPECTED_MD5_LOCAL = "d9754a20d1c8ac6ddbb1a62d75aa507e" - if str(proc.args.base_path).startswith("/home/runner"): - # The MD5 hash is different in GitHub Actions, maybe due to different metadata - assert hashlib.md5(open(nc_file, "rb").read()).hexdigest() == EXPECTED_MD5_GITHUB # noqa: PTH123, S101, S324, SIM115 - elif str(proc.args.base_path).startswith("/root"): - # The MD5 hash is different in act, maybe due to different metadata - assert hashlib.md5(open(nc_file, "rb").read()).hexdigest() == EXPECTED_MD5_ACT # noqa: PTH123, S101, S324, SIM115 - else: - # The MD5 hash is different locally, maybe due to different metadata - # It's likely that the hash will be different on different machines - # as these kind of metadata items are added to nc_file: - # NC_GLOBAL.history: Created by /Users/mccann/GitHub/auv-python/src/data/process_dorado.py ... # noqa: E501 - assert hashlib.md5(open(nc_file, "rb").read()).hexdigest() == EXPECTED_MD5_LOCAL # noqa: PTH123, S101, S324, SIM115 + check_md5 = True + if check_md5: + # Check that the MD5 hash has not changed + EXPECTED_MD5_GITHUB = "11f9a455dfae3bad24aa485181ef5384" + EXPECTED_MD5_ACT = "ec95eabdc1450aefee4667808bc46d92" + EXPECTED_MD5_LOCAL = "d9754a20d1c8ac6ddbb1a62d75aa507e" + if str(proc.args.base_path).startswith("/home/runner"): + # The MD5 hash is different in GitHub Actions, maybe due to different metadata + assert hashlib.md5(open(nc_file, "rb").read()).hexdigest() == EXPECTED_MD5_GITHUB # noqa: PTH123, S101, S324, SIM115 + elif str(proc.args.base_path).startswith("/root"): + # The MD5 hash is different in act, maybe due to different metadata + assert hashlib.md5(open(nc_file, "rb").read()).hexdigest() == EXPECTED_MD5_ACT # noqa: PTH123, S101, S324, SIM115 + else: + # The MD5 hash is different locally, maybe due to different metadata + # It's likely that the hash will be different on different machines + # as these kind of metadata items are added to nc_file: + # NC_GLOBAL.history: Created by /Users/mccann/GitHub/auv-python/src/data/process_dorado.py ... # noqa: E501 + assert hashlib.md5(open(nc_file, "rb").read()).hexdigest() == EXPECTED_MD5_LOCAL # noqa: PTH123, S101, S324, SIM115 From d48765dae1474465e5434b96a4d0502db53c4c2d Mon Sep 17 00:00:00 2001 From: Mike McCann Date: Wed, 11 Jun 2025 12:57:36 -0700 Subject: [PATCH 50/66] Updates for using python3.12. --- notebooks/2.1-mpm-calibrate-i2map.ipynb | 139 ++++-------------------- notebooks/3.0-mpm-align.ipynb | 14 +-- notebooks/3.1-mpm-align-i2map.ipynb | 14 +-- notebooks/4.0-mpm-resample.ipynb | 38 ++++--- notebooks/4.1-mpm-resample-matlab.ipynb | 15 +-- notebooks/4.2-mpm-resample-i2map.ipynb | 10 +- 6 files changed, 63 insertions(+), 167 deletions(-) diff --git a/notebooks/2.1-mpm-calibrate-i2map.ipynb b/notebooks/2.1-mpm-calibrate-i2map.ipynb index 2de2c657..53b6b00b 100644 --- a/notebooks/2.1-mpm-calibrate-i2map.ipynb +++ b/notebooks/2.1-mpm-calibrate-i2map.ipynb @@ -5,63 +5,14 @@ "metadata": {}, "source": [ "### Plot calibrated variables against original data \n", - "To run this Notebook:\n", - "- Install with instructions at https://bitbucket.org/mbari/auv-python\n", - "- `cd auv-python`\n", - "- `poetry install && poetry shell`\n", - "- `cd notebooks && jupyter notebook 2.0-mpm-calibrate.ipynb`" + "To run this Notebook follow instructions at https://github.com/mbari-org/auv-python." ] 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0.5em;\\n}\\n.bk.card-header-row {\\n position: relative !important;\\n}\\n.bk.card-title {\\n align-items: center;\\n font-size: 1.4em;\\n font-weight: bold;\\n overflow-wrap: break-word;\\n}\\n.bk.card-header-row > .bk {\\n overflow-wrap: break-word;\\n text-align: center;\\n}\\n\");\n }, function(Bokeh) {\n inject_raw_css(\".bk.panel-widget-box {\\n min-height: 20px;\\n background-color: #f5f5f5;\\n border: 1px solid #e3e3e3;\\n border-radius: 4px;\\n -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.05);\\n box-shadow: inset 0 1px 1px rgba(0,0,0,.05);\\n overflow-x: hidden;\\n overflow-y: hidden;\\n}\\n\\n.scrollable {\\n overflow: scroll;\\n}\\n\\nprogress {\\n appearance: none;\\n -moz-appearance: none;\\n -webkit-appearance: none;\\n border: none;\\n height: 20px;\\n background-color: whiteSmoke;\\n border-radius: 3px;\\n box-shadow: 0 2px 3px rgba(0,0,0,.5) inset;\\n color: royalblue;\\n position: relative;\\n margin: 0 0 1.5em;\\n}\\n\\nprogress[value]::-webkit-progress-bar {\\n background-color: whiteSmoke;\\n border-radius: 3px;\\n box-shadow: 0 2px 3px rgba(0,0,0,.5) inset;\\n}\\n\\nprogress[value]::-webkit-progress-value {\\n position: relative;\\n background-size: 35px 20px, 100% 100%, 100% 100%;\\n border-radius:3px;\\n}\\n\\nprogress.active:not([value])::before {\\n background-position: 10%;\\n animation-name: stripes;\\n animation-duration: 3s;\\n animation-timing-function: linear;\\n animation-iteration-count: infinite;\\n}\\n\\nprogress[value]::-moz-progress-bar {\\n background-size: 35px 20px, 100% 100%, 100% 100%;\\n border-radius:3px;\\n}\\n\\nprogress:not([value])::-moz-progress-bar {\\n border-radius:3px;\\n background: linear-gradient(-45deg, transparent 33%, rgba(0, 0, 0, 0.2) 33%, rgba(0, 0, 0, 0.2) 66%, transparent 66%) left/2.5em 1.5em;\\n}\\n\\nprogress.active:not([value])::-moz-progress-bar {\\n background-position: 10%;\\n animation-name: stripes;\\n animation-duration: 3s;\\n animation-timing-function: linear;\\n animation-iteration-count: infinite;\\n}\\n\\nprogress.active:not([value])::-webkit-progress-bar {\\n background-position: 10%;\\n animation-name: stripes;\\n animation-duration: 3s;\\n animation-timing-function: linear;\\n animation-iteration-count: infinite;\\n}\\n\\nprogress.primary[value]::-webkit-progress-value { background-color: #007bff; }\\nprogress.primary:not([value])::before { background-color: #007bff; }\\nprogress.primary:not([value])::-webkit-progress-bar { background-color: #007bff; }\\nprogress.primary::-moz-progress-bar { background-color: #007bff; }\\n\\nprogress.secondary[value]::-webkit-progress-value { background-color: #6c757d; }\\nprogress.secondary:not([value])::before { background-color: #6c757d; }\\nprogress.secondary:not([value])::-webkit-progress-bar { background-color: #6c757d; }\\nprogress.secondary::-moz-progress-bar { background-color: #6c757d; }\\n\\nprogress.success[value]::-webkit-progress-value { background-color: #28a745; }\\nprogress.success:not([value])::before { background-color: #28a745; }\\nprogress.success:not([value])::-webkit-progress-bar { background-color: #28a745; }\\nprogress.success::-moz-progress-bar { background-color: #28a745; }\\n\\nprogress.danger[value]::-webkit-progress-value { background-color: #dc3545; }\\nprogress.danger:not([value])::before { background-color: #dc3545; }\\nprogress.danger:not([value])::-webkit-progress-bar { background-color: #dc3545; }\\nprogress.danger::-moz-progress-bar { background-color: #dc3545; }\\n\\nprogress.warning[value]::-webkit-progress-value { background-color: #ffc107; }\\nprogress.warning:not([value])::before { background-color: #ffc107; }\\nprogress.warning:not([value])::-webkit-progress-bar { background-color: #ffc107; }\\nprogress.warning::-moz-progress-bar { background-color: #ffc107; }\\n\\nprogress.info[value]::-webkit-progress-value { background-color: #17a2b8; }\\nprogress.info:not([value])::before { background-color: #17a2b8; }\\nprogress.info:not([value])::-webkit-progress-bar { background-color: #17a2b8; }\\nprogress.info::-moz-progress-bar { background-color: #17a2b8; }\\n\\nprogress.light[value]::-webkit-progress-value { background-color: #f8f9fa; }\\nprogress.light:not([value])::before { background-color: #f8f9fa; }\\nprogress.light:not([value])::-webkit-progress-bar { background-color: #f8f9fa; }\\nprogress.light::-moz-progress-bar { background-color: #f8f9fa; }\\n\\nprogress.dark[value]::-webkit-progress-value { background-color: #343a40; }\\nprogress.dark:not([value])::-webkit-progress-bar { background-color: #343a40; }\\nprogress.dark:not([value])::before { background-color: #343a40; }\\nprogress.dark::-moz-progress-bar { background-color: #343a40; }\\n\\nprogress:not([value])::-webkit-progress-bar {\\n border-radius: 3px;\\n background: linear-gradient(-45deg, transparent 33%, rgba(0, 0, 0, 0.2) 33%, rgba(0, 0, 0, 0.2) 66%, transparent 66%) left/2.5em 1.5em;\\n}\\nprogress:not([value])::before {\\n content:\\\" \\\";\\n position:absolute;\\n height: 20px;\\n top:0;\\n left:0;\\n right:0;\\n bottom:0;\\n border-radius: 3px;\\n background: linear-gradient(-45deg, transparent 33%, rgba(0, 0, 0, 0.2) 33%, rgba(0, 0, 0, 0.2) 66%, transparent 66%) left/2.5em 1.5em;\\n}\\n\\n@keyframes stripes {\\n from {background-position: 0%}\\n to {background-position: 100%}\\n}\\n\\n.bk-root .bk.loader {\\n overflow: hidden;\\n}\\n\\n.bk.loader::after {\\n content: \\\"\\\";\\n border-radius: 50%;\\n -webkit-mask-image: radial-gradient(transparent 50%, rgba(0, 0, 0, 1) 54%);\\n width: 100%;\\n height: 100%;\\n left: 0;\\n top: 0;\\n position: absolute;\\n}\\n\\n.bk-root .bk.loader.dark::after {\\n background: #0f0f0f;\\n}\\n\\n.bk-root .bk.loader.light::after {\\n background: #f0f0f0;\\n}\\n\\n.bk-root .bk.loader.spin::after {\\n animation: spin 2s linear infinite;\\n}\\n\\n.bk-root div.bk.loader.spin.primary-light::after {\\n background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #007bff 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.secondary-light::after {\\n background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #6c757d 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.success-light::after {\\n background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #28a745 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.danger-light::after {\\n background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #dc3545 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.warning-light::after {\\n background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #ffc107 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.info-light::after {\\n background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #17a2b8 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.light-light::after {\\n background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #f8f9fa 50%);\\n}\\n\\n.bk-root div.bk.loader.dark-light::after {\\n background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #343a40 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.primary-dark::after {\\n background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #007bff 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.secondary-dark::after {\\n background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #6c757d 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.success-dark::after {\\n background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #28a745 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.danger-dark::after {\\n background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #dc3545 50%)\\n}\\n\\n.bk-root div.bk.loader.spin.warning-dark::after {\\n background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #ffc107 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.info-dark::after {\\n background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #17a2b8 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.light-dark::after {\\n background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #f8f9fa 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.dark-dark::after {\\n background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #343a40 50%);\\n}\\n\\n/* Safari */\\n@-webkit-keyframes spin {\\n 0% { -webkit-transform: rotate(0deg); }\\n 100% { -webkit-transform: rotate(360deg); }\\n}\\n\\n@keyframes spin {\\n 0% { transform: rotate(0deg); }\\n 100% { transform: rotate(360deg); }\\n}\\n\\n.dot div {\\n height: 100%;\\n width: 100%;\\n border: 1px solid #000 !important;\\n background-color: #fff;\\n border-radius: 50%;\\n display: inline-block;\\n}\\n\\n.dot-filled div {\\n height: 100%;\\n width: 100%;\\n border: 1px solid #000 !important;\\n border-radius: 50%;\\n display: inline-block;\\n}\\n\\n.dot-filled.primary div {\\n background-color: #007bff;\\n}\\n\\n.dot-filled.secondary div {\\n background-color: #6c757d;\\n}\\n\\n.dot-filled.success div {\\n background-color: #28a745;\\n}\\n\\n.dot-filled.danger div {\\n background-color: #dc3545;\\n}\\n\\n.dot-filled.warning div {\\n background-color: #ffc107;\\n}\\n\\n.dot-filled.info div {\\n background-color: #17a2b8;\\n}\\n\\n.dot-filled.dark div {\\n background-color: #343a40;\\n}\\n\\n.dot-filled.light div {\\n background-color: #f8f9fa;\\n}\\n\\n/* Slider editor */\\n.slider-edit .bk-input-group .bk-input {\\n border: 0;\\n border-radius: 0;\\n min-height: 0;\\n padding-left: 0;\\n padding-right: 0;\\n font-weight: bold;\\n}\\n\\n.slider-edit .bk-input-group .bk-spin-wrapper {\\n display: contents;\\n}\\n\\n.slider-edit .bk-input-group .bk-spin-wrapper .bk.bk-spin-btn-up {\\n top: -6px;\\n}\\n\\n.slider-edit .bk-input-group .bk-spin-wrapper .bk.bk-spin-btn-down {\\n bottom: 3px;\\n}\\n\\n/* JSON Pane */\\n.bk-root .json-formatter-row .json-formatter-string, .bk-root .json-formatter-row .json-formatter-stringifiable {\\n white-space: pre-wrap;\\n}\\n\\n.ql-bubble .ql-editor {\\n border: 1px solid #ccc;\\n}\\n\");\n }, function(Bokeh) {\n inject_raw_css(\".codehilite .hll { background-color: #ffffcc }\\n.codehilite { background: #f8f8f8; }\\n.codehilite .c { color: #408080; font-style: italic } /* Comment */\\n.codehilite .err { border: 1px solid #FF0000 } /* Error */\\n.codehilite .k { color: #008000; font-weight: bold } /* Keyword */\\n.codehilite .o { color: #666666 } /* Operator */\\n.codehilite .ch { color: #408080; font-style: italic } /* Comment.Hashbang */\\n.codehilite .cm { color: #408080; font-style: italic } /* Comment.Multiline */\\n.codehilite .cp { color: #BC7A00 } /* Comment.Preproc */\\n.codehilite .cpf { color: #408080; font-style: italic } /* Comment.PreprocFile */\\n.codehilite .c1 { color: #408080; font-style: italic } /* Comment.Single */\\n.codehilite .cs { color: #408080; font-style: italic } /* Comment.Special */\\n.codehilite .gd { color: #A00000 } /* Generic.Deleted */\\n.codehilite .ge { font-style: italic } /* Generic.Emph */\\n.codehilite .gr { color: #FF0000 } /* Generic.Error */\\n.codehilite .gh { color: #000080; font-weight: bold } /* Generic.Heading */\\n.codehilite .gi { color: #00A000 } /* Generic.Inserted */\\n.codehilite .go { color: #888888 } /* Generic.Output */\\n.codehilite .gp { color: #000080; font-weight: bold } /* Generic.Prompt */\\n.codehilite .gs { font-weight: bold } /* Generic.Strong */\\n.codehilite .gu { color: #800080; font-weight: bold } /* Generic.Subheading */\\n.codehilite .gt { color: #0044DD } /* Generic.Traceback */\\n.codehilite .kc { color: #008000; font-weight: bold } /* Keyword.Constant */\\n.codehilite .kd { color: #008000; font-weight: bold } /* Keyword.Declaration */\\n.codehilite .kn { color: #008000; font-weight: bold } /* Keyword.Namespace */\\n.codehilite .kp { color: #008000 } /* Keyword.Pseudo */\\n.codehilite .kr { color: #008000; font-weight: bold } /* Keyword.Reserved */\\n.codehilite .kt { color: #B00040 } /* Keyword.Type */\\n.codehilite .m { color: #666666 } /* Literal.Number */\\n.codehilite .s { color: #BA2121 } /* Literal.String */\\n.codehilite .na { color: #7D9029 } /* Name.Attribute */\\n.codehilite .nb { color: #008000 } /* Name.Builtin */\\n.codehilite .nc { color: #0000FF; font-weight: bold } /* Name.Class */\\n.codehilite .no { color: #880000 } /* Name.Constant */\\n.codehilite .nd { color: #AA22FF } /* Name.Decorator */\\n.codehilite .ni { color: #999999; font-weight: bold } /* Name.Entity */\\n.codehilite .ne { color: #D2413A; font-weight: bold } /* Name.Exception */\\n.codehilite .nf { color: #0000FF } /* Name.Function */\\n.codehilite .nl { color: #A0A000 } /* Name.Label */\\n.codehilite .nn { color: #0000FF; font-weight: bold } /* Name.Namespace */\\n.codehilite .nt { color: #008000; font-weight: bold } /* Name.Tag */\\n.codehilite .nv { color: #19177C } /* Name.Variable */\\n.codehilite .ow { color: #AA22FF; font-weight: bold } /* Operator.Word */\\n.codehilite .w { color: #bbbbbb } /* Text.Whitespace */\\n.codehilite .mb { color: #666666 } /* Literal.Number.Bin */\\n.codehilite .mf { color: #666666 } /* Literal.Number.Float */\\n.codehilite .mh { color: #666666 } /* Literal.Number.Hex */\\n.codehilite .mi { color: #666666 } /* Literal.Number.Integer */\\n.codehilite .mo { color: #666666 } /* Literal.Number.Oct */\\n.codehilite .sa { color: #BA2121 } /* Literal.String.Affix */\\n.codehilite .sb { color: #BA2121 } /* Literal.String.Backtick */\\n.codehilite .sc { color: #BA2121 } /* Literal.String.Char */\\n.codehilite .dl { color: #BA2121 } /* Literal.String.Delimiter */\\n.codehilite .sd { color: #BA2121; font-style: italic } /* Literal.String.Doc */\\n.codehilite .s2 { color: #BA2121 } /* Literal.String.Double */\\n.codehilite .se { color: #BB6622; font-weight: bold } /* Literal.String.Escape */\\n.codehilite .sh { color: #BA2121 } /* Literal.String.Heredoc */\\n.codehilite .si { color: #BB6688; font-weight: bold } /* Literal.String.Interpol */\\n.codehilite .sx { color: #008000 } /* Literal.String.Other */\\n.codehilite .sr { color: #BB6688 } /* Literal.String.Regex */\\n.codehilite .s1 { color: #BA2121 } /* Literal.String.Single */\\n.codehilite .ss { color: #19177C } /* Literal.String.Symbol */\\n.codehilite .bp { color: #008000 } /* Name.Builtin.Pseudo */\\n.codehilite .fm { color: #0000FF } /* Name.Function.Magic */\\n.codehilite .vc { color: #19177C } /* Name.Variable.Class */\\n.codehilite .vg { color: #19177C } /* Name.Variable.Global */\\n.codehilite .vi { color: #19177C } /* Name.Variable.Instance */\\n.codehilite .vm { color: #19177C } /* Name.Variable.Magic */\\n.codehilite .il { color: #666666 } /* Literal.Number.Integer.Long */\\n\\n.markdown h1 { margin-block-start: 0.34em }\\n.markdown h2 { margin-block-start: 0.42em }\\n.markdown h3 { margin-block-start: 0.5em }\\n.markdown h4 { margin-block-start: 0.67em }\\n.markdown h5 { margin-block-start: 0.84em }\\n.markdown h6 { margin-block-start: 1.17em }\\n.markdown ul { padding-inline-start: 2em }\\n.markdown ol { padding-inline-start: 2em }\\n.markdown strong { font-weight: 600 }\\n.markdown a { color: -webkit-link }\\n.markdown a { color: -moz-hyperlinkText }\\n\\n.markdown .codehilite {\\n padding: 1rem 1.25rem;\\n margin-top: 1rem;\\n margin-bottom: 1rem;\\n border-radius: 0.25rem;\\n}\\n\");\n }, function(Bokeh) {\n inject_raw_css(\".json-formatter-row {\\n font-family: monospace;\\n}\\n.json-formatter-row,\\n.json-formatter-row a,\\n.json-formatter-row a:hover {\\n color: black;\\n text-decoration: none;\\n}\\n.json-formatter-row .json-formatter-row {\\n margin-left: 1rem;\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty {\\n opacity: 0.5;\\n margin-left: 1rem;\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty:after {\\n display: none;\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-object:after {\\n content: \\\"No properties\\\";\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-array:after {\\n content: \\\"[]\\\";\\n}\\n.json-formatter-row .json-formatter-string,\\n.json-formatter-row .json-formatter-stringifiable {\\n color: green;\\n white-space: pre;\\n word-wrap: break-word;\\n}\\n.json-formatter-row .json-formatter-number {\\n color: blue;\\n}\\n.json-formatter-row .json-formatter-boolean {\\n color: red;\\n}\\n.json-formatter-row .json-formatter-null {\\n color: #855A00;\\n}\\n.json-formatter-row .json-formatter-undefined {\\n color: #ca0b69;\\n}\\n.json-formatter-row .json-formatter-function {\\n color: #FF20ED;\\n}\\n.json-formatter-row .json-formatter-date {\\n background-color: rgba(0, 0, 0, 0.05);\\n}\\n.json-formatter-row .json-formatter-url {\\n text-decoration: underline;\\n color: blue;\\n cursor: pointer;\\n}\\n.json-formatter-row .json-formatter-bracket {\\n color: blue;\\n}\\n.json-formatter-row .json-formatter-key {\\n color: #00008B;\\n padding-right: 0.2rem;\\n}\\n.json-formatter-row .json-formatter-toggler-link {\\n cursor: pointer;\\n}\\n.json-formatter-row .json-formatter-toggler {\\n line-height: 1.2rem;\\n font-size: 0.7rem;\\n vertical-align: middle;\\n opacity: 0.6;\\n cursor: pointer;\\n padding-right: 0.2rem;\\n}\\n.json-formatter-row .json-formatter-toggler:after {\\n display: inline-block;\\n transition: transform 100ms ease-in;\\n content: \\\"\\\\25BA\\\";\\n}\\n.json-formatter-row > a > .json-formatter-preview-text {\\n opacity: 0;\\n transition: opacity 0.15s ease-in;\\n font-style: italic;\\n}\\n.json-formatter-row:hover > a > .json-formatter-preview-text {\\n opacity: 0.6;\\n}\\n.json-formatter-row.json-formatter-open > .json-formatter-toggler-link .json-formatter-toggler:after {\\n transform: rotate(90deg);\\n}\\n.json-formatter-row.json-formatter-open > .json-formatter-children:after {\\n display: inline-block;\\n}\\n.json-formatter-row.json-formatter-open > a > .json-formatter-preview-text {\\n display: none;\\n}\\n.json-formatter-row.json-formatter-open.json-formatter-empty:after {\\n display: block;\\n}\\n.json-formatter-dark.json-formatter-row {\\n font-family: monospace;\\n}\\n.json-formatter-dark.json-formatter-row,\\n.json-formatter-dark.json-formatter-row a,\\n.json-formatter-dark.json-formatter-row a:hover {\\n color: white;\\n text-decoration: none;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-row {\\n margin-left: 1rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty {\\n opacity: 0.5;\\n 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permitted provided that the following conditions are met:\n * \n * Redistributions of source code must retain the above copyright notice,\n * this list of conditions and the following disclaimer.\n * \n * Redistributions in binary form must reproduce the above copyright notice,\n * this list of conditions and the following disclaimer in the documentation\n * and/or other materials provided with the distribution.\n * \n * Neither the name of Anaconda nor the names of any contributors\n * may be used to endorse or promote products derived from this software\n * without specific prior written permission.\n * \n * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n * THE POSSIBILITY OF SUCH DAMAGE.\n */\n (function(root, factory) {\n const bokeh = factory();\n bokeh.__bokeh__ = true;\n if (typeof root.Bokeh === \"undefined\" || typeof root.Bokeh.__bokeh__ === \"undefined\") {\n root.Bokeh = bokeh;\n }\n const Bokeh = root.Bokeh;\n Bokeh[bokeh.version] = bokeh;\n })(this, function() {\n let define;\n const parent_require = typeof require === \"function\" && require\n return (function(modules, entry, aliases, externals) {\n if (aliases === undefined) 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this.layoutables)if(!this._idle_roots.has(e))return!1;return!0}notify_idle(e){this._idle_roots.set(e,!0),this.is_idle&&(_.logger.info(`document idle at ${Date.now()-this._init_timestamp} ms`),this.event_manager.send_event(new a.DocumentReady),this.idle.emit())}clear(){this._push_all_models_freeze();try{for(;this._roots.length>0;)this.remove_root(this._roots[0])}finally{this._pop_all_models_freeze()}}interactive_start(e,t=null){null==this._interactive_plot&&(this._interactive_plot=e,this._interactive_plot.trigger_event(new a.LODStart)),this._interactive_finalize=t,this._interactive_timestamp=Date.now()}interactive_stop(){null!=this._interactive_plot&&(this._interactive_plot.trigger_event(new a.LODEnd),null!=this._interactive_finalize&&this._interactive_finalize()),this._interactive_plot=null,this._interactive_timestamp=null,this._interactive_finalize=null}interactive_duration(){return null==this._interactive_timestamp?-1:Date.now()-this._interactive_timestamp}destructively_move(e){if(e===this)throw new Error(\"Attempted to overwrite a document with itself\");e.clear();const t=(0,g.copy)(this._roots);this.clear();for(const e of t)if(null!=e.document)throw new Error(`Somehow we didn't detach ${e}`);if(0!=this._all_models.size)throw new Error(`this._all_models still had stuff in it: ${this._all_models}`);for(const s of t)e.add_root(s);e.set_title(this._title)}_push_all_models_freeze(){this._all_models_freeze_count+=1}_pop_all_models_freeze(){this._all_models_freeze_count-=1,0===this._all_models_freeze_count&&this._recompute_all_models()}_invalidate_all_models(){_.logger.debug(\"invalidating document models\"),0===this._all_models_freeze_count&&this._recompute_all_models()}_recompute_all_models(){let e=new Set;for(const t of this._roots)e=p.union(e,t.references());const t=new Set(this._all_models.values()),s=p.difference(t,e),o=p.difference(e,t),n=new Map;for(const t of e)n.set(t.id,t);for(const e of s)e.detach_document();for(const e of o)e.attach_document(this);this._all_models=n}roots(){return this._roots}add_root(e,t){if(_.logger.debug(`Adding root: ${e}`),!(0,g.includes)(this._roots,e)){this._push_all_models_freeze();try{this._roots.push(e)}finally{this._pop_all_models_freeze()}this._trigger_on_change(new z.RootAddedEvent(this,e,t))}}remove_root(e,t){const s=this._roots.indexOf(e);if(!(s<0)){this._push_all_models_freeze();try{this._roots.splice(s,1)}finally{this._pop_all_models_freeze()}this._trigger_on_change(new z.RootRemovedEvent(this,e,t))}}title(){return this._title}set_title(e,t){e!==this._title&&(this._title=e,this._trigger_on_change(new z.TitleChangedEvent(this,e,t)))}get_model_by_id(e){var t;return null!==(t=this._all_models.get(e))&&void 0!==t?t:null}get_model_by_name(e){const t=[];for(const s of this._all_models.values())s instanceof M.Model&&s.name==e&&t.push(s);switch(t.length){case 0:return null;case 1:return t[0];default:throw new Error(`Multiple models are named '${e}'`)}}on_message(e,t){const s=this._message_callbacks.get(e);null==s?this._message_callbacks.set(e,new Set([t])):s.add(t)}remove_on_message(e,t){var s;null===(s=this._message_callbacks.get(e))||void 0===s||s.delete(t)}_trigger_on_message(e,t){const s=this._message_callbacks.get(e);if(null!=s)for(const e of s)e(t)}on_change(e,t=!1){this._callbacks.has(e)||this._callbacks.set(e,t)}remove_on_change(e){this._callbacks.delete(e)}_trigger_on_change(e){for(const[t,s]of this._callbacks)if(!s&&e instanceof z.DocumentEventBatch)for(const s of e.events)t(s);else t(e)}_notify_change(e,t,s,o,n){this._trigger_on_change(new z.ModelChangedEvent(this,e,t,s,o,null==n?void 0:n.setter_id,null==n?void 0:n.hint))}static _instantiate_object(e,t,s,o){const n=Object.assign(Object.assign({},s),{id:e,__deferred__:!0});return new(o.get(t))(n)}static _instantiate_references_json(e,t,s){var o;const n=new Map;for(const i of e){const e=i.id,r=i.type,l=null!==(o=i.attributes)&&void 0!==o?o:{};let _=t.get(e);null==_&&(_=E._instantiate_object(e,r,l,s),null!=i.subtype&&_.set_subtype(i.subtype)),n.set(_.id,_)}return n}static _resolve_refs(e,t,s,o){function n(e){var i;if((0,f.is_ref)(e)){const o=null!==(i=t.get(e.id))&&void 0!==i?i:s.get(e.id);if(null!=o)return o;throw new Error(`reference ${JSON.stringify(e)} isn't known (not in Document?)`)}if((0,u.is_NDArray_ref)(e)){const{buffer:t,dtype:s,shape:n}=(0,u.decode_NDArray)(e,o);return(0,m.ndarray)(t,{dtype:s,shape:n})}return(0,b.isArray)(e)?function(e){const t=[];for(const s of e)t.push(n(s));return t}(e):(0,b.isPlainObject)(e)?function(e){const t={};for(const[s,o]of(0,v.entries)(e))t[s]=n(o);return t}(e):e}return n(e)}static _initialize_references_json(e,t,s,o){const n=new Map;for(const{id:i,attributes:r}of e){const e=!t.has(i),l=e?s.get(i):t.get(i),_=E._resolve_refs(r,t,s,o);l.setv(_,{silent:!0}),n.set(i,{instance:l,is_new:e})}const i=[],r=new Set;function l(e){if(e instanceof c.HasProps){if(n.has(e.id)&&!r.has(e.id)){r.add(e.id);const{instance:t,is_new:s}=n.get(e.id),{attributes:o}=t;for(const e of(0,v.values)(o))l(e);s&&(t.finalize(),i.push(t))}}else if((0,b.isArray)(e))for(const t of e)l(t);else if((0,b.isPlainObject)(e))for(const t of(0,v.values)(e))l(t)}for(const e of n.values())l(e.instance);for(const e of i)e.connect_signals()}static _event_for_attribute_change(e,t,s,o,n){if(o.get_model_by_id(e.id).property(t).syncable){const i={kind:\"ModelChanged\",model:{id:e.id},attr:t,new:s};return c.HasProps._json_record_references(o,s,n,{recursive:!0}),i}return null}static _events_to_sync_objects(e,t,s,o){const n=Object.keys(e.attributes),i=Object.keys(t.attributes),r=(0,g.difference)(n,i),l=(0,g.difference)(i,n),a=(0,g.intersection)(n,i),c=[];for(const e of r)_.logger.warn(`Server sent key ${e} but we don't seem to have it in our JSON`);for(const n of l){const i=t.attributes[n];c.push(E._event_for_attribute_change(e,n,i,s,o))}for(const n of a){const i=e.attributes[n],r=t.attributes[n];null==i&&null==r||(null==i||null==r?c.push(E._event_for_attribute_change(e,n,r,s,o)):\"data\"==n||(0,w.is_equal)(i,r)||c.push(E._event_for_attribute_change(e,n,r,s,o)))}return c.filter((e=>null!=e))}static _compute_patch_since_json(e,t){const s=t.to_json(!1);function o(e){const t=new Map;for(const s of e.roots.references)t.set(s.id,s);return t}const n=o(e),i=new Map,r=[];for(const t of e.roots.root_ids)i.set(t,n.get(t)),r.push(t);const l=o(s),_=new Map,a=[];for(const e of s.roots.root_ids)_.set(e,l.get(e)),a.push(e);if(r.sort(),a.sort(),(0,g.difference)(r,a).length>0||(0,g.difference)(a,r).length>0)throw new Error(\"Not implemented: computing add/remove of document roots\");const c=new Set;let h=[];for(const e of t._all_models.keys())if(n.has(e)){const s=E._events_to_sync_objects(n.get(e),l.get(e),t,c);h=h.concat(s)}const f=new d.Serializer({include_defaults:!1});return f.to_serializable([...c]),{references:[...f.definitions],events:h}}to_json_string(e=!0){return JSON.stringify(this.to_json(e))}to_json(e=!0){const t=new d.Serializer({include_defaults:e}),s=t.to_serializable(this._roots);return{version:l.version,title:this._title,roots:{root_ids:s.map((e=>e.id)),references:[...t.definitions]}}}static from_json_string(e){const t=JSON.parse(e);return E.from_json(t)}static from_json(e){_.logger.debug(\"Creating Document from JSON\");const t=e.version,s=-1!==t.indexOf(\"+\")||-1!==t.indexOf(\"-\"),o=`Library versions: JS (${l.version}) / Python (${t})`;s||l.version.replace(/-(dev|rc)\\./,\"$1\")==t?_.logger.debug(o):(_.logger.warn(\"JS/Python version mismatch\"),_.logger.warn(o));const n=new r.ModelResolver;null!=e.defs&&(0,j.resolve_defs)(e.defs,n);const i=e.roots,a=i.root_ids,c=i.references,d=E._instantiate_references_json(c,new Map,n);E._initialize_references_json(c,new Map,d,new Map);const h=new E({resolver:n});h._push_all_models_freeze();for(const e of a){const t=d.get(e);null!=t&&h.add_root(t)}return h._pop_all_models_freeze(),h.set_title(e.title),h}replace_with_json(e){E.from_json(e).destructively_move(this)}create_json_patch_string(e){return JSON.stringify(this.create_json_patch(e))}create_json_patch(e){for(const t of e)if(t.document!=this)throw new Error(\"Cannot create a patch using events from a different document\");const t=new d.Serializer,s=t.to_serializable(e);for(const e of this._all_models.values())t.remove_def(e);return{events:s,references:[...t.definitions]}}apply_json_patch(e,t=new Map,s){const o=e.references,n=e.events,i=E._instantiate_references_json(o,this._all_models,this._resolver);t instanceof Map||(t=new Map(t));for(const e of n)switch(e.kind){case\"RootAdded\":case\"RootRemoved\":case\"ModelChanged\":{const t=e.model.id,s=this._all_models.get(t);if(null!=s)i.set(t,s);else if(!i.has(t))throw _.logger.warn(`Got an event for unknown model ${e.model}\"`),new Error(\"event model wasn't known\");break}}const r=new Map(this._all_models),l=new Map;for(const[e,t]of i)r.has(e)||l.set(e,t);E._initialize_references_json(o,r,l,t);for(const e of n)switch(e.kind){case\"MessageSent\":{const{msg_type:s,msg_data:o}=e;let n;if(void 0===o){if(1!=t.size)throw new Error(\"expected exactly one buffer\");{const[[,e]]=t;n=e}}else n=E._resolve_refs(o,r,l,t);this._trigger_on_message(s,n);break}case\"ModelChanged\":{const o=e.model.id,n=this._all_models.get(o);if(null==n)throw new Error(`Cannot apply patch to ${o} which is not in the document`);const i=e.attr,_=E._resolve_refs(e.new,r,l,t);n.setv({[i]:_},{setter_id:s});break}case\"ColumnDataChanged\":{const o=e.column_source.id,n=this._all_models.get(o);if(null==n)throw new Error(`Cannot stream to ${o} which is not in the document`);const i=E._resolve_refs(e.new,new Map,new Map,t);if(null!=e.cols)for(const e in n.data)e in i||(i[e]=n.data[e]);n.setv({data:i},{setter_id:s,check_eq:!1});break}case\"ColumnsStreamed\":{const t=e.column_source.id,o=this._all_models.get(t);if(null==o)throw new Error(`Cannot stream to ${t} which is not in the document`);if(!(o instanceof k.ColumnDataSource))throw new Error(\"Cannot stream to non-ColumnDataSource\");const n=e.data,i=e.rollover;o.stream(n,i,s);break}case\"ColumnsPatched\":{const t=e.column_source.id,o=this._all_models.get(t);if(null==o)throw new Error(`Cannot patch ${t} which is not in the document`);if(!(o instanceof k.ColumnDataSource))throw new Error(\"Cannot patch non-ColumnDataSource\");const n=e.patches;o.patch(n,s);break}case\"RootAdded\":{const t=e.model.id,o=i.get(t);this.add_root(o,s);break}case\"RootRemoved\":{const t=e.model.id,o=i.get(t);this.remove_root(o,s);break}case\"TitleChanged\":this.set_title(e.title,s);break;default:throw new Error(`Unknown patch event ${JSON.stringify(e)}`)}}}s.Document=E,E.__name__=\"Document\"},\n function _(e,o,s,r,t){r();const l=e(1),i=e(8),d=e(13),n=e(14);s.overrides={};const a=new Map;s.Models=e=>{const 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t=l.getBoundingClientRect();o=Math.max(o,Math.ceil(t.left-e-i.left+t.width)),s=Math.max(s,Math.ceil(t.top-n-i.top+t.height))}return{width:o,height:s}},n.position=function(t,e,n){const{style:i}=t;if(i.left=`${e.x}px`,i.top=`${e.y}px`,i.width=`${e.width}px`,i.height=`${e.height}px`,null==n)i.margin=\"\";else{const{top:t,right:e,bottom:o,left:s}=n;i.margin=`${t}px ${e}px ${o}px ${s}px`}},n.children=function(t){return Array.from(t.children)};class p{constructor(t){this.el=t,this.classList=t.classList}get values(){const t=[];for(let e=0;e{document.addEventListener(\"DOMContentLoaded\",(()=>t()),{once:!0})}))}},\n function _(o,i,t,e,r){e(),t.root=\"bk-root\",t.default=\".bk-root{position:relative;width:auto;height:auto;box-sizing:border-box;font-family:Helvetica, Arial, sans-serif;font-size:13px;}.bk-root .bk,.bk-root .bk:before,.bk-root .bk:after{box-sizing:inherit;margin:0;border:0;padding:0;background-image:none;font-family:inherit;font-size:100%;line-height:1.42857143;}.bk-root pre.bk{font-family:Courier, monospace;}\"},\n function _(e,t,r,a,c){a();const n=e(1),l=e(46);c(\"Line\",l.Line),c(\"LineScalar\",l.LineScalar),c(\"LineVector\",l.LineVector);const i=e(49);c(\"Fill\",i.Fill),c(\"FillScalar\",i.FillScalar),c(\"FillVector\",i.FillVector);const s=e(50);c(\"Text\",s.Text),c(\"TextScalar\",s.TextScalar),c(\"TextVector\",s.TextVector);const o=e(51);c(\"Hatch\",o.Hatch),c(\"HatchScalar\",o.HatchScalar),c(\"HatchVector\",o.HatchVector);const u=(0,n.__importStar)(e(48)),V=e(47);c(\"VisualProperties\",V.VisualProperties),c(\"VisualUniforms\",V.VisualUniforms);class h{constructor(e){this._visuals=[];for(const[t,r]of e.model._mixins){const a=(()=>{switch(r){case u.Line:return new l.Line(e,t);case u.LineScalar:return new l.LineScalar(e,t);case u.LineVector:return new l.LineVector(e,t);case u.Fill:return new i.Fill(e,t);case u.FillScalar:return new i.FillScalar(e,t);case u.FillVector:return new i.FillVector(e,t);case u.Text:return new s.Text(e,t);case u.TextScalar:return new s.TextScalar(e,t);case u.TextVector:return new s.TextVector(e,t);case u.Hatch:return new o.Hatch(e,t);case u.HatchScalar:return new o.HatchScalar(e,t);case u.HatchVector:return new o.HatchVector(e,t);default:throw new Error(\"unknown visual\")}})();a instanceof V.VisualProperties&&a.update(),this._visuals.push(a),Object.defineProperty(this,t+a.type,{get:()=>a,configurable:!1,enumerable:!0})}}*[Symbol.iterator](){yield*this._visuals}}r.Visuals=h,h.__name__=\"Visuals\"},\n function _(e,t,i,l,s){l();const a=e(1),n=e(47),h=(0,a.__importStar)(e(48)),o=e(22),_=e(8);function r(e){if((0,_.isArray)(e))return e;switch(e){case\"solid\":return[];case\"dashed\":return[6];case\"dotted\":return[2,4];case\"dotdash\":return[2,4,6,4];case\"dashdot\":return[6,4,2,4];default:return e.split(\" \").map(Number).filter(_.isInteger)}}i.resolve_line_dash=r;class u extends n.VisualProperties{get doit(){const e=this.line_color.get_value(),t=this.line_alpha.get_value(),i=this.line_width.get_value();return!(null==e||0==t||0==i)}apply(e){const{doit:t}=this;return t&&(this.set_value(e),e.stroke()),t}values(){return{color:this.line_color.get_value(),alpha:this.line_alpha.get_value(),width:this.line_width.get_value(),join:this.line_join.get_value(),cap:this.line_cap.get_value(),dash:this.line_dash.get_value(),offset:this.line_dash_offset.get_value()}}set_value(e){const t=this.line_color.get_value(),i=this.line_alpha.get_value();e.strokeStyle=(0,o.color2css)(t,i),e.lineWidth=this.line_width.get_value(),e.lineJoin=this.line_join.get_value(),e.lineCap=this.line_cap.get_value(),e.lineDash=r(this.line_dash.get_value()),e.lineDashOffset=this.line_dash_offset.get_value()}}i.Line=u,u.__name__=\"Line\";class c extends n.VisualUniforms{get doit(){const e=this.line_color.value,t=this.line_alpha.value,i=this.line_width.value;return!(0==e||0==t||0==i)}apply(e){const{doit:t}=this;return t&&(this.set_value(e),e.stroke()),t}values(){return{color:this.line_color.value,alpha:this.line_alpha.value,width:this.line_width.value,join:this.line_join.value,cap:this.line_cap.value,dash:this.line_dash.value,offset:this.line_dash_offset.value}}set_value(e){const t=this.line_color.value,i=this.line_alpha.value;e.strokeStyle=(0,o.color2css)(t,i),e.lineWidth=this.line_width.value,e.lineJoin=this.line_join.value,e.lineCap=this.line_cap.value,e.lineDash=r(this.line_dash.value),e.lineDashOffset=this.line_dash_offset.value}}i.LineScalar=c,c.__name__=\"LineScalar\";class d extends n.VisualUniforms{get doit(){const{line_color:e}=this;if(e.is_Scalar()&&0==e.value)return!1;const{line_alpha:t}=this;if(t.is_Scalar()&&0==t.value)return!1;const{line_width:i}=this;return!i.is_Scalar()||0!=i.value}apply(e,t){const{doit:i}=this;return i&&(this.set_vectorize(e,t),e.stroke()),i}values(e){return{color:this.line_color.get(e),alpha:this.line_alpha.get(e),width:this.line_width.get(e),join:this.line_join.get(e),cap:this.line_cap.get(e),dash:this.line_dash.get(e),offset:this.line_dash_offset.get(e)}}set_vectorize(e,t){const i=this.line_color.get(t),l=this.line_alpha.get(t),s=this.line_width.get(t),a=this.line_join.get(t),n=this.line_cap.get(t),h=this.line_dash.get(t),_=this.line_dash_offset.get(t);e.strokeStyle=(0,o.color2css)(i,l),e.lineWidth=s,e.lineJoin=a,e.lineCap=n,e.lineDash=r(h),e.lineDashOffset=_}}i.LineVector=d,d.__name__=\"LineVector\",u.prototype.type=\"line\",u.prototype.attrs=Object.keys(h.Line),c.prototype.type=\"line\",c.prototype.attrs=Object.keys(h.LineScalar),d.prototype.type=\"line\",d.prototype.attrs=Object.keys(h.LineVector)},\n function _(t,s,o,i,r){i();class e{constructor(t,s=\"\"){this.obj=t,this.prefix=s;const o=this;this._props=[];for(const i of this.attrs){const r=t.model.properties[s+i];r.change.connect((()=>this.update())),o[i]=r,this._props.push(r)}}*[Symbol.iterator](){yield*this._props}update(){}}o.VisualProperties=e,e.__name__=\"VisualProperties\";class p{constructor(t,s=\"\"){this.obj=t,this.prefix=s;for(const o of this.attrs)Object.defineProperty(this,o,{get:()=>t[s+o]})}*[Symbol.iterator](){for(const t of this.attrs)yield this.obj.model.properties[this.prefix+t]}update(){}}o.VisualUniforms=p,p.__name__=\"VisualUniforms\"},\n function _(e,l,t,a,c){a();const r=e(1),o=(0,r.__importStar)(e(18)),n=e(20),i=(0,r.__importStar)(e(21)),_=e(13);t.Line={line_color:[i.Nullable(i.Color),\"black\"],line_alpha:[i.Alpha,1],line_width:[i.Number,1],line_join:[n.LineJoin,\"bevel\"],line_cap:[n.LineCap,\"butt\"],line_dash:[i.Or(n.LineDash,i.Array(i.Number)),[]],line_dash_offset:[i.Number,0]},t.Fill={fill_color:[i.Nullable(i.Color),\"gray\"],fill_alpha:[i.Alpha,1]},t.Hatch={hatch_color:[i.Nullable(i.Color),\"black\"],hatch_alpha:[i.Alpha,1],hatch_scale:[i.Number,12],hatch_pattern:[i.Nullable(i.Or(n.HatchPatternType,i.String)),null],hatch_weight:[i.Number,1],hatch_extra:[i.Dict(i.AnyRef()),{}]},t.Text={text_color:[i.Nullable(i.Color),\"#444444\"],text_alpha:[i.Alpha,1],text_font:[o.Font,\"helvetica\"],text_font_size:[i.FontSize,\"16px\"],text_font_style:[n.FontStyle,\"normal\"],text_align:[n.TextAlign,\"left\"],text_baseline:[n.TextBaseline,\"bottom\"],text_line_height:[i.Number,1.2]},t.LineScalar={line_color:[o.ColorScalar,\"black\"],line_alpha:[o.NumberScalar,1],line_width:[o.NumberScalar,1],line_join:[o.LineJoinScalar,\"bevel\"],line_cap:[o.LineCapScalar,\"butt\"],line_dash:[o.LineDashScalar,[]],line_dash_offset:[o.NumberScalar,0]},t.FillScalar={fill_color:[o.ColorScalar,\"gray\"],fill_alpha:[o.NumberScalar,1]},t.HatchScalar={hatch_color:[o.ColorScalar,\"black\"],hatch_alpha:[o.NumberScalar,1],hatch_scale:[o.NumberScalar,12],hatch_pattern:[o.NullStringScalar,null],hatch_weight:[o.NumberScalar,1],hatch_extra:[o.AnyScalar,{}]},t.TextScalar={text_color:[o.ColorScalar,\"#444444\"],text_alpha:[o.NumberScalar,1],text_font:[o.FontScalar,\"helvetica\"],text_font_size:[o.FontSizeScalar,\"16px\"],text_font_style:[o.FontStyleScalar,\"normal\"],text_align:[o.TextAlignScalar,\"left\"],text_baseline:[o.TextBaselineScalar,\"bottom\"],text_line_height:[o.NumberScalar,1.2]},t.LineVector={line_color:[o.ColorSpec,\"black\"],line_alpha:[o.NumberSpec,1],line_width:[o.NumberSpec,1],line_join:[o.LineJoinSpec,\"bevel\"],line_cap:[o.LineCapSpec,\"butt\"],line_dash:[o.LineDashSpec,[]],line_dash_offset:[o.NumberSpec,0]},t.FillVector={fill_color:[o.ColorSpec,\"gray\"],fill_alpha:[o.NumberSpec,1]},t.HatchVector={hatch_color:[o.ColorSpec,\"black\"],hatch_alpha:[o.NumberSpec,1],hatch_scale:[o.NumberSpec,12],hatch_pattern:[o.NullStringSpec,null],hatch_weight:[o.NumberSpec,1],hatch_extra:[o.AnyScalar,{}]},t.TextVector={text_color:[o.ColorSpec,\"#444444\"],text_alpha:[o.NumberSpec,1],text_font:[o.FontSpec,\"helvetica\"],text_font_size:[o.FontSizeSpec,\"16px\"],text_font_style:[o.FontStyleSpec,\"normal\"],text_align:[o.TextAlignSpec,\"left\"],text_baseline:[o.TextBaselineSpec,\"bottom\"],text_line_height:[o.NumberSpec,1.2]},t.attrs_of=function(e,l,t,a=!1){const c={};for(const r of(0,_.keys)(t)){const t=`${l}${r}`,o=e[t];c[a?t:r]=o}return c}},\n function _(l,t,e,i,s){i();const a=l(1),o=l(47),r=(0,a.__importStar)(l(48)),_=l(22);class c extends o.VisualProperties{get doit(){const l=this.fill_color.get_value(),t=this.fill_alpha.get_value();return!(null==l||0==t)}apply(l,t){const{doit:e}=this;return e&&(this.set_value(l),l.fill(t)),e}values(){return{color:this.fill_color.get_value(),alpha:this.fill_alpha.get_value()}}set_value(l){const t=this.fill_color.get_value(),e=this.fill_alpha.get_value();l.fillStyle=(0,_.color2css)(t,e)}}e.Fill=c,c.__name__=\"Fill\";class h extends o.VisualUniforms{get doit(){const l=this.fill_color.value,t=this.fill_alpha.value;return!(0==l||0==t)}apply(l,t){const{doit:e}=this;return e&&(this.set_value(l),l.fill(t)),e}values(){return{color:this.fill_color.value,alpha:this.fill_alpha.value}}set_value(l){const t=this.fill_color.value,e=this.fill_alpha.value;l.fillStyle=(0,_.color2css)(t,e)}}e.FillScalar=h,h.__name__=\"FillScalar\";class u extends o.VisualUniforms{get doit(){const{fill_color:l}=this;if(l.is_Scalar()&&0==l.value)return!1;const{fill_alpha:t}=this;return!t.is_Scalar()||0!=t.value}apply(l,t,e){const{doit:i}=this;return i&&(this.set_vectorize(l,t),l.fill(e)),i}values(l){return{color:this.fill_color.get(l),alpha:this.fill_alpha.get(l)}}set_vectorize(l,t){const e=this.fill_color.get(t),i=this.fill_alpha.get(t);l.fillStyle=(0,_.color2css)(e,i)}}e.FillVector=u,u.__name__=\"FillVector\",c.prototype.type=\"fill\",c.prototype.attrs=Object.keys(r.Fill),h.prototype.type=\"fill\",h.prototype.attrs=Object.keys(r.FillScalar),u.prototype.type=\"fill\",u.prototype.attrs=Object.keys(r.FillVector)},\n function _(t,e,l,s,_){s();const i=t(1),a=t(47),o=(0,i.__importStar)(t(48)),n=t(22);class h extends a.VisualProperties{get doit(){const t=this.text_color.get_value(),e=this.text_alpha.get_value();return!(null==t||0==e)}values(){return{color:this.text_color.get_value(),alpha:this.text_alpha.get_value(),font:this.text_font.get_value(),font_size:this.text_font_size.get_value(),font_style:this.text_font_style.get_value(),align:this.text_align.get_value(),baseline:this.text_baseline.get_value(),line_height:this.text_line_height.get_value()}}set_value(t){const e=this.text_color.get_value(),l=this.text_alpha.get_value();t.fillStyle=(0,n.color2css)(e,l),t.font=this.font_value(),t.textAlign=this.text_align.get_value(),t.textBaseline=this.text_baseline.get_value()}font_value(){return`${this.text_font_style.get_value()} ${this.text_font_size.get_value()} ${this.text_font.get_value()}`}}l.Text=h,h.__name__=\"Text\";class x extends a.VisualUniforms{get doit(){const t=this.text_color.value,e=this.text_alpha.value;return!(0==t||0==e)}values(){return{color:this.text_color.value,alpha:this.text_alpha.value,font:this.text_font.value,font_size:this.text_font_size.value,font_style:this.text_font_style.value,align:this.text_align.value,baseline:this.text_baseline.value,line_height:this.text_line_height.value}}set_value(t){const e=this.text_color.value,l=this.text_alpha.value,s=this.font_value(),_=this.text_align.value,i=this.text_baseline.value;t.fillStyle=(0,n.color2css)(e,l),t.font=s,t.textAlign=_,t.textBaseline=i}font_value(){return`${this.text_font_style.value} ${this.text_font_size.value} ${this.text_font.value}`}}l.TextScalar=x,x.__name__=\"TextScalar\";class u extends a.VisualUniforms{values(t){return{color:this.text_color.get(t),alpha:this.text_alpha.get(t),font:this.text_font.get(t),font_size:this.text_font_size.get(t),font_style:this.text_font_style.get(t),align:this.text_align.get(t),baseline:this.text_baseline.get(t),line_height:this.text_line_height.get(t)}}get doit(){const{text_color:t}=this;if(t.is_Scalar()&&0==t.value)return!1;const{text_alpha:e}=this;return!e.is_Scalar()||0!=e.value}set_vectorize(t,e){const l=this.text_color.get(e),s=this.text_alpha.get(e),_=this.font_value(e),i=this.text_align.get(e),a=this.text_baseline.get(e);t.fillStyle=(0,n.color2css)(l,s),t.font=_,t.textAlign=i,t.textBaseline=a}font_value(t){return`${this.text_font_style.get(t)} ${this.text_font_size.get(t)} ${this.text_font.get(t)}`}}l.TextVector=u,u.__name__=\"TextVector\",h.prototype.type=\"text\",h.prototype.attrs=Object.keys(o.Text),x.prototype.type=\"text\",x.prototype.attrs=Object.keys(o.TextScalar),u.prototype.type=\"text\",u.prototype.attrs=Object.keys(o.TextVector)},\n function _(t,e,a,r,i){r();const h=t(1),s=t(47),n=t(52),c=(0,h.__importStar)(t(18)),_=(0,h.__importStar)(t(48));class l extends s.VisualProperties{constructor(){super(...arguments),this._update_iteration=0}update(){if(this._update_iteration++,this._hatch_image=null,!this.doit)return;const t=this.hatch_color.get_value(),e=this.hatch_alpha.get_value(),a=this.hatch_scale.get_value(),r=this.hatch_pattern.get_value(),i=this.hatch_weight.get_value(),h=t=>{this._hatch_image=t},s=this.hatch_extra.get_value()[r];if(null!=s){const r=s.get_pattern(t,e,a,i);if(r instanceof Promise){const{_update_iteration:t}=this;r.then((e=>{this._update_iteration==t&&(h(e),this.obj.request_render())}))}else h(r)}else{const s=this.obj.canvas.create_layer(),c=(0,n.get_pattern)(s,r,t,e,a,i);h(c)}}get doit(){const t=this.hatch_color.get_value(),e=this.hatch_alpha.get_value(),a=this.hatch_pattern.get_value();return!(null==t||0==e||\" \"==a||\"blank\"==a||null==a)}apply(t,e){const{doit:a}=this;return a&&(this.set_value(t),t.layer.undo_transform((()=>t.fill(e)))),a}set_value(t){const e=this.pattern(t);t.fillStyle=null!=e?e:\"transparent\"}pattern(t){const e=this._hatch_image;return null==e?null:t.createPattern(e,this.repetition())}repetition(){const t=this.hatch_pattern.get_value(),e=this.hatch_extra.get_value()[t];if(null==e)return\"repeat\";switch(e.repetition){case\"repeat\":return\"repeat\";case\"repeat_x\":return\"repeat-x\";case\"repeat_y\":return\"repeat-y\";case\"no_repeat\":return\"no-repeat\"}}}a.Hatch=l,l.__name__=\"Hatch\";class o extends s.VisualUniforms{constructor(){super(...arguments),this._static_doit=!1,this._update_iteration=0}_compute_static_doit(){const t=this.hatch_color.value,e=this.hatch_alpha.value,a=this.hatch_pattern.value;return!(null==t||0==e||\" \"==a||\"blank\"==a||null==a)}update(){this._update_iteration++;const t=this.hatch_color.length;if(this._hatch_image=new c.UniformScalar(null,t),this._static_doit=this._compute_static_doit(),!this._static_doit)return;const e=this.hatch_color.value,a=this.hatch_alpha.value,r=this.hatch_scale.value,i=this.hatch_pattern.value,h=this.hatch_weight.value,s=e=>{this._hatch_image=new c.UniformScalar(e,t)},_=this.hatch_extra.value[i];if(null!=_){const t=_.get_pattern(e,a,r,h);if(t instanceof Promise){const{_update_iteration:e}=this;t.then((t=>{this._update_iteration==e&&(s(t),this.obj.request_render())}))}else s(t)}else{const t=this.obj.canvas.create_layer(),c=(0,n.get_pattern)(t,i,e,a,r,h);s(c)}}get doit(){return this._static_doit}apply(t,e){const{doit:a}=this;return a&&(this.set_value(t),t.layer.undo_transform((()=>t.fill(e)))),a}set_value(t){var e;t.fillStyle=null!==(e=this.pattern(t))&&void 0!==e?e:\"transparent\"}pattern(t){const e=this._hatch_image.value;return null==e?null:t.createPattern(e,this.repetition())}repetition(){const t=this.hatch_pattern.value,e=this.hatch_extra.value[t];if(null==e)return\"repeat\";switch(e.repetition){case\"repeat\":return\"repeat\";case\"repeat_x\":return\"repeat-x\";case\"repeat_y\":return\"repeat-y\";case\"no_repeat\":return\"no-repeat\"}}}a.HatchScalar=o,o.__name__=\"HatchScalar\";class u extends s.VisualUniforms{constructor(){super(...arguments),this._static_doit=!1,this._update_iteration=0}_compute_static_doit(){const{hatch_color:t}=this;if(t.is_Scalar()&&0==t.value)return!1;const{hatch_alpha:e}=this;if(e.is_Scalar()&&0==e.value)return!1;const{hatch_pattern:a}=this;if(a.is_Scalar()){const t=a.value;if(\" \"==t||\"blank\"==t||null==t)return!1}return!0}update(){this._update_iteration++;const t=this.hatch_color.length;if(this._hatch_image=new c.UniformScalar(null,t),this._static_doit=this._compute_static_doit(),!this._static_doit)return;const e=(t,e,a,r,i,h)=>{const s=this.hatch_extra.value[t];if(null!=s){const t=s.get_pattern(e,a,r,i);if(t instanceof Promise){const{_update_iteration:e}=this;t.then((t=>{this._update_iteration==e&&(h(t),this.obj.request_render())}))}else h(t)}else{const s=this.obj.canvas.create_layer(),c=(0,n.get_pattern)(s,t,e,a,r,i);h(c)}};if(this.hatch_color.is_Scalar()&&this.hatch_alpha.is_Scalar()&&this.hatch_scale.is_Scalar()&&this.hatch_pattern.is_Scalar()&&this.hatch_weight.is_Scalar()){const a=this.hatch_color.value,r=this.hatch_alpha.value,i=this.hatch_scale.value;e(this.hatch_pattern.value,a,r,i,this.hatch_weight.value,(e=>{this._hatch_image=new c.UniformScalar(e,t)}))}else{const a=new Array(t);a.fill(null),this._hatch_image=new c.UniformVector(a);for(let r=0;r{a[r]=t}))}}}get doit(){return this._static_doit}apply(t,e,a){const{doit:r}=this;return r&&(this.set_vectorize(t,e),t.layer.undo_transform((()=>t.fill(a)))),r}set_vectorize(t,e){var a;t.fillStyle=null!==(a=this.pattern(t,e))&&void 0!==a?a:\"transparent\"}pattern(t,e){const a=this._hatch_image.get(e);return null==a?null:t.createPattern(a,this.repetition(e))}repetition(t){const e=this.hatch_pattern.get(t),a=this.hatch_extra.value[e];if(null==a)return\"repeat\";switch(a.repetition){case\"repeat\":return\"repeat\";case\"repeat_x\":return\"repeat-x\";case\"repeat_y\":return\"repeat-y\";case\"no_repeat\":return\"no-repeat\"}}}a.HatchVector=u,u.__name__=\"HatchVector\",l.prototype.type=\"hatch\",l.prototype.attrs=Object.keys(_.Hatch),o.prototype.type=\"hatch\",o.prototype.attrs=Object.keys(_.HatchScalar),u.prototype.type=\"hatch\",u.prototype.attrs=Object.keys(_.HatchVector)},\n function _(e,o,a,s,r){s();const i=e(22);function l(e,o,a){e.moveTo(0,a+.5),e.lineTo(o,a+.5),e.stroke()}function n(e,o,a){e.moveTo(a+.5,0),e.lineTo(a+.5,o),e.stroke()}function t(e,o){e.moveTo(0,o),e.lineTo(o,0),e.stroke(),e.moveTo(0,0),e.lineTo(o,o),e.stroke()}a.hatch_aliases={\" \":\"blank\",\".\":\"dot\",o:\"ring\",\"-\":\"horizontal_line\",\"|\":\"vertical_line\",\"+\":\"cross\",'\"':\"horizontal_dash\",\":\":\"vertical_dash\",\"@\":\"spiral\",\"/\":\"right_diagonal_line\",\"\\\\\":\"left_diagonal_line\",x:\"diagonal_cross\",\",\":\"right_diagonal_dash\",\"`\":\"left_diagonal_dash\",v:\"horizontal_wave\",\">\":\"vertical_wave\",\"*\":\"criss_cross\"},a.get_pattern=function(e,o,s,r,c,k){return e.resize(c,c),e.prepare(),function(e,o,s,r,c,k){var _;const T=c,v=T/2,h=v/2,d=(0,i.color2css)(s,r);switch(e.strokeStyle=d,e.fillStyle=d,e.lineCap=\"square\",e.lineWidth=k,null!==(_=a.hatch_aliases[o])&&void 0!==_?_:o){case\"blank\":break;case\"dot\":e.arc(v,v,v/2,0,2*Math.PI,!0),e.fill();break;case\"ring\":e.arc(v,v,v/2,0,2*Math.PI,!0),e.stroke();break;case\"horizontal_line\":l(e,T,v);break;case\"vertical_line\":n(e,T,v);break;case\"cross\":l(e,T,v),n(e,T,v);break;case\"horizontal_dash\":l(e,v,v);break;case\"vertical_dash\":n(e,v,v);break;case\"spiral\":{const o=T/30;e.moveTo(v,v);for(let a=0;a<360;a++){const s=.1*a,r=v+o*s*Math.cos(s),i=v+o*s*Math.sin(s);e.lineTo(r,i)}e.stroke();break}case\"right_diagonal_line\":e.moveTo(.5-h,T),e.lineTo(h+.5,0),e.stroke(),e.moveTo(h+.5,T),e.lineTo(3*h+.5,0),e.stroke(),e.moveTo(3*h+.5,T),e.lineTo(5*h+.5,0),e.stroke(),e.stroke();break;case\"left_diagonal_line\":e.moveTo(h+.5,T),e.lineTo(.5-h,0),e.stroke(),e.moveTo(3*h+.5,T),e.lineTo(h+.5,0),e.stroke(),e.moveTo(5*h+.5,T),e.lineTo(3*h+.5,0),e.stroke(),e.stroke();break;case\"diagonal_cross\":t(e,T);break;case\"right_diagonal_dash\":e.moveTo(h+.5,3*h+.5),e.lineTo(3*h+.5,h+.5),e.stroke();break;case\"left_diagonal_dash\":e.moveTo(h+.5,h+.5),e.lineTo(3*h+.5,3*h+.5),e.stroke();break;case\"horizontal_wave\":e.moveTo(0,h),e.lineTo(v,3*h),e.lineTo(T,h),e.stroke();break;case\"vertical_wave\":e.moveTo(h,0),e.lineTo(3*h,v),e.lineTo(h,T),e.stroke();break;case\"criss_cross\":t(e,T),l(e,T,v),n(e,T,v)}}(e.ctx,o,s,r,c,k),e.canvas}},\n function _(e,t,s,n,c){var a;n();const i=e(14),r=e(8),l=e(13),o=e(26),_=e(19);class h extends i.HasProps{constructor(e){super(e)}get is_syncable(){return this.syncable}[o.equals](e,t){return t.eq(this.id,e.id)&&super[o.equals](e,t)}initialize(){super.initialize(),this._js_callbacks=new Map}connect_signals(){super.connect_signals(),this._update_property_callbacks(),this.connect(this.properties.js_property_callbacks.change,(()=>this._update_property_callbacks())),this.connect(this.properties.js_event_callbacks.change,(()=>this._update_event_callbacks())),this.connect(this.properties.subscribed_events.change,(()=>this._update_event_callbacks()))}_process_event(e){var t;for(const s of null!==(t=this.js_event_callbacks[e.event_name])&&void 0!==t?t:[])s.execute(e);null!=this.document&&this.subscribed_events.some((t=>t==e.event_name))&&this.document.event_manager.send_event(e)}trigger_event(e){null!=this.document&&(e.origin=this,this.document.event_manager.trigger(e))}_update_event_callbacks(){null!=this.document?this.document.event_manager.subscribed_models.add(this):_.logger.warn(\"WARNING: Document not defined for updating event callbacks\")}_update_property_callbacks(){const e=e=>{const[t,s=null]=e.split(\":\");return null!=s?this.properties[s][t]:this[t]};for(const[t,s]of this._js_callbacks){const n=e(t);for(const e of s)this.disconnect(n,e)}this._js_callbacks.clear();for(const[t,s]of(0,l.entries)(this.js_property_callbacks)){const n=s.map((e=>()=>e.execute(this)));this._js_callbacks.set(t,n);const c=e(t);for(const e of n)this.connect(c,e)}}_doc_attached(){(0,l.isEmpty)(this.js_event_callbacks)&&0==this.subscribed_events.length||this._update_event_callbacks()}_doc_detached(){this.document.event_manager.subscribed_models.delete(this)}select(e){if((0,r.isString)(e))return[...this.references()].filter((t=>t instanceof h&&t.name===e));if(e.prototype instanceof i.HasProps)return[...this.references()].filter((t=>t instanceof e));throw new Error(\"invalid selector\")}select_one(e){const t=this.select(e);switch(t.length){case 0:return null;case 1:return t[0];default:throw new Error(\"found more than one object matching given selector\")}}}s.Model=h,a=h,h.__name__=\"Model\",a.define((({Any:e,Unknown:t,Boolean:s,String:n,Array:c,Dict:a,Nullable:i})=>({tags:[c(t),[]],name:[i(n),null],js_property_callbacks:[a(c(e)),{}],js_event_callbacks:[a(c(e)),{}],subscribed_events:[c(n),[]],syncable:[s,!0]})))},\n function _(e,t,s,a,r){var c,n;a();const _=e(12),o=e(53),i=e(55),l=e(59),u=e(61),g=e(62),h=e(57),p=e(63),m=e(67);class x{constructor(e,t){this.x_scale=e,this.y_scale=t,this.x_source=this.x_scale.source_range,this.y_source=this.y_scale.source_range,this.ranges=[this.x_source,this.y_source],this.scales=[this.x_scale,this.y_scale]}map_to_screen(e,t){return[this.x_scale.v_compute(e),this.y_scale.v_compute(t)]}map_from_screen(e,t){return[this.x_scale.v_invert(e),this.y_scale.v_invert(t)]}}s.CoordinateTransform=x,x.__name__=\"CoordinateTransform\";class y extends o.Model{constructor(e){super(e)}get x_ranges(){return new Map([[\"default\",this.x_source]])}get y_ranges(){return new Map([[\"default\",this.y_source]])}_get_scale(e,t,s){if(e instanceof m.FactorRange!=t instanceof g.CategoricalScale)throw new Error(`Range ${e.type} is incompatible is Scale ${t.type}`);t instanceof u.LogScale&&e instanceof p.DataRange1d&&(e.scale_hint=\"log\");const a=t.clone();return a.setv({source_range:e,target_range:s}),a}get_transform(e){const{x_source:t,x_scale:s,x_target:a}=this,r=this._get_scale(t,s,a),{y_source:c,y_scale:n,y_target:_}=this,o=this._get_scale(c,n,_),i=new v({source_scale:r,source_range:r.source_range,target_scale:e.x_scale,target_range:e.x_target}),l=new v({source_scale:o,source_range:o.source_range,target_scale:e.y_scale,target_range:e.y_target});return new x(i,l)}}s.CoordinateMapping=y,c=y,y.__name__=\"CoordinateMapping\",c.define((({Ref:e})=>({x_source:[e(h.Range),()=>new p.DataRange1d],y_source:[e(h.Range),()=>new p.DataRange1d],x_scale:[e(i.Scale),()=>new l.LinearScale],y_scale:[e(i.Scale),()=>new l.LinearScale],x_target:[e(h.Range)],y_target:[e(h.Range)]})));class v extends i.Scale{constructor(e){super(e)}get s_compute(){const e=this.source_scale.s_compute,t=this.target_scale.s_compute;return s=>t(e(s))}get s_invert(){const e=this.source_scale.s_invert,t=this.target_scale.s_invert;return s=>e(t(s))}compute(e){return this.s_compute(e)}v_compute(e){const{s_compute:t}=this;return(0,_.map)(e,t)}invert(e){return this.s_invert(e)}v_invert(e){const{s_invert:t}=this;return(0,_.map)(e,t)}}s.CompositeScale=v,n=v,v.__name__=\"CompositeScale\",n.internal((({Ref:e})=>({source_scale:[e(i.Scale)],target_scale:[e(i.Scale)]})))},\n function _(e,t,r,n,s){var _;n();const a=e(56),c=e(57),o=e(58),i=e(24);class u extends a.Transform{constructor(e){super(e)}compute(e){return this.s_compute(e)}v_compute(e){const t=new i.ScreenArray(e.length),{s_compute:r}=this;for(let n=0;n({source_range:[e(c.Range)],target_range:[e(o.Range1d)]})))},\n function _(n,s,o,r,c){r();const e=n(53);class t extends e.Model{constructor(n){super(n)}}o.Transform=t,t.__name__=\"Transform\"},\n function _(e,t,n,i,s){var r;i();const a=e(53);class l extends a.Model{constructor(e){super(e),this.have_updated_interactively=!1}get is_reversed(){return this.start>this.end}get is_valid(){return isFinite(this.min)&&isFinite(this.max)}get span(){return Math.abs(this.end-this.start)}}n.Range=l,r=l,l.__name__=\"Range\",r.define((({Number:e,Tuple:t,Or:n,Auto:i,Nullable:s})=>({bounds:[s(n(t(s(e),s(e)),i)),null],min_interval:[s(e),null],max_interval:[s(e),null]}))),r.internal((({Array:e,AnyRef:t})=>({plots:[e(t()),[]]})))},\n function _(t,e,s,n,r){var a;n();const i=t(57);class _ extends i.Range{constructor(t){super(t)}_set_auto_bounds(){if(\"auto\"==this.bounds){const t=Math.min(this._reset_start,this._reset_end),e=Math.max(this._reset_start,this._reset_end);this.setv({bounds:[t,e]},{silent:!0})}}initialize(){super.initialize(),this._set_auto_bounds()}get min(){return Math.min(this.start,this.end)}get max(){return Math.max(this.start,this.end)}reset(){this._set_auto_bounds();const{_reset_start:t,_reset_end:e}=this;this.start!=t||this.end!=e?this.setv({start:t,end:e}):this.change.emit()}map(t){return new _({start:t(this.start),end:t(this.end)})}widen(t){let{start:e,end:s}=this;return this.is_reversed?(e+=t,s-=t):(e-=t,s+=t),new _({start:e,end:s})}}s.Range1d=_,a=_,_.__name__=\"Range1d\",a.define((({Number:t,Nullable:e})=>({start:[t,0],end:[t,1],reset_start:[e(t),null,{on_update(t,e){e._reset_start=null!=t?t:e.start}}],reset_end:[e(t),null,{on_update(t,e){e._reset_end=null!=t?t:e.end}}]})))},\n function _(t,e,n,r,s){r();const a=t(60);class _ extends a.ContinuousScale{constructor(t){super(t)}get s_compute(){const[t,e]=this._linear_compute_state();return n=>t*n+e}get s_invert(){const[t,e]=this._linear_compute_state();return n=>(n-e)/t}_linear_compute_state(){const t=this.source_range.start,e=this.source_range.end,n=this.target_range.start,r=(this.target_range.end-n)/(e-t);return[r,-r*t+n]}}n.LinearScale=_,_.__name__=\"LinearScale\"},\n function _(n,c,o,s,e){s();const t=n(55);class u extends t.Scale{constructor(n){super(n)}}o.ContinuousScale=u,u.__name__=\"ContinuousScale\"},\n function _(t,e,a,o,s){o();const r=t(60);class n extends r.ContinuousScale{constructor(t){super(t)}get s_compute(){const[t,e,a,o]=this._compute_state();return s=>{if(0==a)return 0;{const r=(Math.log(s)-o)/a;return isFinite(r)?r*t+e:NaN}}}get s_invert(){const[t,e,a,o]=this._compute_state();return s=>{const r=(s-e)/t;return Math.exp(a*r+o)}}_get_safe_factor(t,e){let a=t<0?0:t,o=e<0?0:e;if(a==o)if(0==a)[a,o]=[1,10];else{const t=Math.log(a)/Math.log(10);a=10**Math.floor(t),o=Math.ceil(t)!=Math.floor(t)?10**Math.ceil(t):10**(Math.ceil(t)+1)}return[a,o]}_compute_state(){const t=this.source_range.start,e=this.source_range.end,a=this.target_range.start,o=this.target_range.end-a,[s,r]=this._get_safe_factor(t,e);let n,c;0==s?(n=Math.log(r),c=0):(n=Math.log(r)-Math.log(s),c=Math.log(s));return[o,a,n,c]}}a.LogScale=n,n.__name__=\"LogScale\"},\n function _(t,e,c,a,s){a();const n=t(55),r=t(59),{_linear_compute_state:o}=r.LinearScale.prototype;class l extends n.Scale{constructor(t){super(t)}get s_compute(){const[t,e]=o.call(this),c=this.source_range;return a=>t*c.synthetic(a)+e}get s_invert(){const[t,e]=o.call(this);return c=>(c-e)/t}}c.CategoricalScale=l,l.__name__=\"CategoricalScale\"},\n function _(t,i,n,e,a){e();const s=t(1);var l;const _=t(64),o=t(20),r=t(9),h=t(19),d=(0,s.__importStar)(t(65)),u=t(66);class g extends _.DataRange{constructor(t){super(t),this.have_updated_interactively=!1}initialize(){super.initialize(),this._initial_start=this.start,this._initial_end=this.end,this._initial_range_padding=this.range_padding,this._initial_range_padding_units=this.range_padding_units,this._initial_follow=this.follow,this._initial_follow_interval=this.follow_interval,this._initial_default_span=this.default_span,this._plot_bounds=new Map}get min(){return Math.min(this.start,this.end)}get max(){return Math.max(this.start,this.end)}computed_renderers(){const{renderers:t,names:i}=this,n=(0,r.concat)(this.plots.map((t=>t.data_renderers)));return(0,u.compute_renderers)(0==t.length?\"auto\":t,n,i)}_compute_plot_bounds(t,i){let n=d.empty();for(const e of t){const t=i.get(e);null==t||!e.visible&&this.only_visible||(n=d.union(n,t))}return n}adjust_bounds_for_aspect(t,i){const n=d.empty();let e=t.x1-t.x0;e<=0&&(e=1);let a=t.y1-t.y0;a<=0&&(a=1);const s=.5*(t.x1+t.x0),l=.5*(t.y1+t.y0);return el&&(\"start\"==this.follow?a=e+s*l:\"end\"==this.follow&&(e=a-s*l)),[e,a]}update(t,i,n,e){if(this.have_updated_interactively)return;const a=this.computed_renderers();let s=this._compute_plot_bounds(a,t);null!=e&&(s=this.adjust_bounds_for_aspect(s,e)),this._plot_bounds.set(n,s);const[l,_]=this._compute_min_max(this._plot_bounds.entries(),i);let[o,r]=this._compute_range(l,_);null!=this._initial_start&&(\"log\"==this.scale_hint?this._initial_start>0&&(o=this._initial_start):o=this._initial_start),null!=this._initial_end&&(\"log\"==this.scale_hint?this._initial_end>0&&(r=this._initial_end):r=this._initial_end);let h=!1;\"auto\"==this.bounds&&(this.setv({bounds:[o,r]},{silent:!0}),h=!0);const[d,u]=[this.start,this.end];if(o!=d||r!=u){const t={};o!=d&&(t.start=o),r!=u&&(t.end=r),this.setv(t),h=!1}h&&this.change.emit()}reset(){this.have_updated_interactively=!1,this.setv({range_padding:this._initial_range_padding,range_padding_units:this._initial_range_padding_units,follow:this._initial_follow,follow_interval:this._initial_follow_interval,default_span:this._initial_default_span},{silent:!0}),this.change.emit()}}n.DataRange1d=g,l=g,g.__name__=\"DataRange1d\",l.define((({Boolean:t,Number:i,Nullable:n})=>({start:[i],end:[i],range_padding:[i,.1],range_padding_units:[o.PaddingUnits,\"percent\"],flipped:[t,!1],follow:[n(o.StartEnd),null],follow_interval:[n(i),null],default_span:[i,2],only_visible:[t,!1]}))),l.internal((({Enum:t})=>({scale_hint:[t(\"log\",\"auto\"),\"auto\"]})))},\n function _(e,n,a,r,s){var t;r();const c=e(57);class _ extends c.Range{constructor(e){super(e)}}a.DataRange=_,t=_,_.__name__=\"DataRange\",t.define((({String:e,Array:n,AnyRef:a})=>({names:[n(e),[]],renderers:[n(a()),[]]})))},\n function _(t,i,e,h,r){h();const s=t(24),n=t(26),{min:x,max:y}=Math;e.empty=function(){return{x0:1/0,y0:1/0,x1:-1/0,y1:-1/0}},e.positive_x=function(){return{x0:Number.MIN_VALUE,y0:-1/0,x1:1/0,y1:1/0}},e.positive_y=function(){return{x0:-1/0,y0:Number.MIN_VALUE,x1:1/0,y1:1/0}},e.union=function(t,i){return{x0:x(t.x0,i.x0),x1:y(t.x1,i.x1),y0:x(t.y0,i.y0),y1:y(t.y1,i.y1)}};class o{constructor(t){if(null==t)this.x0=0,this.y0=0,this.x1=0,this.y1=0;else if(\"x0\"in t){const{x0:i,y0:e,x1:h,y1:r}=t;if(!(i<=h&&e<=r))throw new Error(`invalid bbox {x0: ${i}, y0: ${e}, x1: ${h}, y1: ${r}}`);this.x0=i,this.y0=e,this.x1=h,this.y1=r}else if(\"x\"in t){const{x:i,y:e,width:h,height:r}=t;if(!(h>=0&&r>=0))throw new Error(`invalid bbox {x: ${i}, y: ${e}, width: ${h}, height: ${r}}`);this.x0=i,this.y0=e,this.x1=i+h,this.y1=e+r}else{let i,e,h,r;if(\"width\"in t)if(\"left\"in t)i=t.left,e=i+t.width;else if(\"right\"in t)e=t.right,i=e-t.width;else{const h=t.width/2;i=t.hcenter-h,e=t.hcenter+h}else i=t.left,e=t.right;if(\"height\"in t)if(\"top\"in t)h=t.top,r=h+t.height;else if(\"bottom\"in t)r=t.bottom,h=r-t.height;else{const i=t.height/2;h=t.vcenter-i,r=t.vcenter+i}else h=t.top,r=t.bottom;if(!(i<=e&&h<=r))throw new Error(`invalid bbox {left: ${i}, top: ${h}, right: ${e}, bottom: ${r}}`);this.x0=i,this.y0=h,this.x1=e,this.y1=r}}static from_rect({left:t,right:i,top:e,bottom:h}){return new o({x0:Math.min(t,i),y0:Math.min(e,h),x1:Math.max(t,i),y1:Math.max(e,h)})}equals(t){return this.x0==t.x0&&this.y0==t.y0&&this.x1==t.x1&&this.y1==t.y1}[n.equals](t,i){return i.eq(this.x0,t.x0)&&i.eq(this.y0,t.y0)&&i.eq(this.x1,t.x1)&&i.eq(this.y1,t.y1)}toString(){return`BBox({left: ${this.left}, top: ${this.top}, width: ${this.width}, height: ${this.height}})`}get left(){return this.x0}get top(){return this.y0}get right(){return this.x1}get bottom(){return this.y1}get p0(){return[this.x0,this.y0]}get p1(){return[this.x1,this.y1]}get x(){return this.x0}get y(){return this.y0}get width(){return this.x1-this.x0}get height(){return this.y1-this.y0}get size(){return{width:this.width,height:this.height}}get rect(){const{x0:t,y0:i,x1:e,y1:h}=this;return{p0:{x:t,y:i},p1:{x:e,y:i},p2:{x:e,y:h},p3:{x:t,y:h}}}get box(){const{x:t,y:i,width:e,height:h}=this;return{x:t,y:i,width:e,height:h}}get h_range(){return{start:this.x0,end:this.x1}}get v_range(){return{start:this.y0,end:this.y1}}get ranges(){return[this.h_range,this.v_range]}get aspect(){return this.width/this.height}get hcenter(){return(this.left+this.right)/2}get vcenter(){return(this.top+this.bottom)/2}get area(){return this.width*this.height}relative(){const{width:t,height:i}=this;return new o({x:0,y:0,width:t,height:i})}translate(t,i){const{x:e,y:h,width:r,height:s}=this;return new o({x:t+e,y:i+h,width:r,height:s})}relativize(t,i){return[t-this.x,i-this.y]}contains(t,i){return this.x0<=t&&t<=this.x1&&this.y0<=i&&i<=this.y1}clip(t,i){return tthis.x1&&(t=this.x1),ithis.y1&&(i=this.y1),[t,i]}grow_by(t){return new o({left:this.left-t,right:this.right+t,top:this.top-t,bottom:this.bottom+t})}shrink_by(t){return new o({left:this.left+t,right:this.right-t,top:this.top+t,bottom:this.bottom-t})}union(t){return new o({x0:x(this.x0,t.x0),y0:x(this.y0,t.y0),x1:y(this.x1,t.x1),y1:y(this.y1,t.y1)})}intersection(t){return this.intersects(t)?new o({x0:y(this.x0,t.x0),y0:y(this.y0,t.y0),x1:x(this.x1,t.x1),y1:x(this.y1,t.y1)}):null}intersects(t){return!(t.x1this.x1||t.y1this.y1)}get xview(){return{compute:t=>this.left+t,v_compute:t=>{const i=new s.ScreenArray(t.length),e=this.left;for(let h=0;hthis.bottom-t,v_compute:t=>{const i=new s.ScreenArray(t.length),e=this.bottom;for(let h=0;h0&&(r=r.filter((n=>(0,l.includes)(t,n.name)))),r}},\n function _(t,n,e,i,s){var r;i();const a=t(57),o=t(20),g=t(21),p=t(24),c=t(9),l=t(8),u=t(11);function h(t,n,e=0){const i=new Map;for(let s=0;sa.get(t).value)));r.set(t,{value:l/s,mapping:a}),o+=s+n+p}return[r,(a.size-1)*n+g]}function _(t,n,e,i,s=0){var r;const a=new Map,o=new Map;for(const[n,e,i]of t){const t=null!==(r=o.get(n))&&void 0!==r?r:[];o.set(n,[...t,[e,i]])}let g=s,p=0;for(const[t,s]of o){const r=s.length,[o,l]=d(s,e,i,g);p+=l;const u=(0,c.sum)(s.map((([t])=>o.get(t).value)));a.set(t,{value:u/r,mapping:o}),g+=r+n+l}return[a,(o.size-1)*n+p]}e.Factor=(0,g.Or)(g.String,(0,g.Tuple)(g.String,g.String),(0,g.Tuple)(g.String,g.String,g.String)),e.FactorSeq=(0,g.Or)((0,g.Array)(g.String),(0,g.Array)((0,g.Tuple)(g.String,g.String)),(0,g.Array)((0,g.Tuple)(g.String,g.String,g.String))),e.map_one_level=h,e.map_two_levels=d,e.map_three_levels=_;class f extends a.Range{constructor(t){super(t)}get min(){return this.start}get max(){return this.end}initialize(){super.initialize(),this._init(!0)}connect_signals(){super.connect_signals(),this.connect(this.properties.factors.change,(()=>this.reset())),this.connect(this.properties.factor_padding.change,(()=>this.reset())),this.connect(this.properties.group_padding.change,(()=>this.reset())),this.connect(this.properties.subgroup_padding.change,(()=>this.reset())),this.connect(this.properties.range_padding.change,(()=>this.reset())),this.connect(this.properties.range_padding_units.change,(()=>this.reset()))}reset(){this._init(!1),this.change.emit()}_lookup(t){switch(t.length){case 1:{const[n]=t,e=this._mapping.get(n);return null!=e?e.value:NaN}case 2:{const[n,e]=t,i=this._mapping.get(n);if(null!=i){const t=i.mapping.get(e);if(null!=t)return t.value}return NaN}case 3:{const[n,e,i]=t,s=this._mapping.get(n);if(null!=s){const t=s.mapping.get(e);if(null!=t){const n=t.mapping.get(i);if(null!=n)return n.value}}return NaN}default:(0,u.unreachable)()}}synthetic(t){if((0,l.isNumber)(t))return t;if((0,l.isString)(t))return this._lookup([t]);let n=0;const e=t[t.length-1];return(0,l.isNumber)(e)&&(n=e,t=t.slice(0,-1)),this._lookup(t)+n}v_synthetic(t){const n=t.length,e=new p.ScreenArray(n);for(let i=0;i{if((0,c.every)(this.factors,l.isString)){const t=this.factors,[n,e]=h(t,this.factor_padding);return{levels:1,mapping:n,tops:null,mids:null,inside_padding:e}}if((0,c.every)(this.factors,(t=>(0,l.isArray)(t)&&2==t.length&&(0,l.isString)(t[0])&&(0,l.isString)(t[1])))){const t=this.factors,[n,e]=d(t,this.group_padding,this.factor_padding),i=[...n.keys()];return{levels:2,mapping:n,tops:i,mids:null,inside_padding:e}}if((0,c.every)(this.factors,(t=>(0,l.isArray)(t)&&3==t.length&&(0,l.isString)(t[0])&&(0,l.isString)(t[1])&&(0,l.isString)(t[2])))){const t=this.factors,[n,e]=_(t,this.group_padding,this.subgroup_padding,this.factor_padding),i=[...n.keys()],s=[];for(const[t,e]of n)for(const n of e.mapping.keys())s.push([t,n]);return{levels:3,mapping:n,tops:i,mids:s,inside_padding:e}}(0,u.unreachable)()})();this._mapping=e,this.tops=i,this.mids=s;let a=0,o=this.factors.length+r;if(\"percent\"==this.range_padding_units){const t=(o-a)*this.range_padding/2;a-=t,o+=t}else a-=this.range_padding,o+=this.range_padding;this.setv({start:a,end:o,levels:n},{silent:t}),\"auto\"==this.bounds&&this.setv({bounds:[a,o]},{silent:!0})}}e.FactorRange=f,r=f,f.__name__=\"FactorRange\",r.define((({Number:t})=>({factors:[e.FactorSeq,[]],factor_padding:[t,0],subgroup_padding:[t,.8],group_padding:[t,1.4],range_padding:[t,0],range_padding_units:[o.PaddingUnits,\"percent\"],start:[t],end:[t]}))),r.internal((({Number:t,String:n,Array:e,Tuple:i,Nullable:s})=>({levels:[t],mids:[s(e(i(n,n))),null],tops:[s(e(n)),null]})))},\n function _(t,e,s,a,i){a();const n=t(1);var _;const r=t(69),o=t(112),l=t(48),d=t(20),h=t(24),c=t(113),u=(0,n.__importStar)(t(18)),v=t(10);class p extends r.DataAnnotationView{async lazy_initialize(){await super.lazy_initialize();const{start:t,end:e}=this.model;null!=t&&(this.start=await(0,c.build_view)(t,{parent:this})),null!=e&&(this.end=await(0,c.build_view)(e,{parent:this}))}set_data(t){var e,s;super.set_data(t),null===(e=this.start)||void 0===e||e.set_data(t),null===(s=this.end)||void 0===s||s.set_data(t)}remove(){var t,e;null===(t=this.start)||void 0===t||t.remove(),null===(e=this.end)||void 0===e||e.remove(),super.remove()}map_data(){const{frame:t}=this.plot_view;\"data\"==this.model.start_units?(this._sx_start=this.coordinates.x_scale.v_compute(this._x_start),this._sy_start=this.coordinates.y_scale.v_compute(this._y_start)):(this._sx_start=t.bbox.xview.v_compute(this._x_start),this._sy_start=t.bbox.yview.v_compute(this._y_start)),\"data\"==this.model.end_units?(this._sx_end=this.coordinates.x_scale.v_compute(this._x_end),this._sy_end=this.coordinates.y_scale.v_compute(this._y_end)):(this._sx_end=t.bbox.xview.v_compute(this._x_end),this._sy_end=t.bbox.yview.v_compute(this._y_end));const{_sx_start:e,_sy_start:s,_sx_end:a,_sy_end:i}=this,n=e.length,_=this._angles=new h.ScreenArray(n);for(let t=0;t({x_start:[u.XCoordinateSpec,{field:\"x_start\"}],y_start:[u.YCoordinateSpec,{field:\"y_start\"}],start_units:[d.SpatialUnits,\"data\"],start:[e(t(o.ArrowHead)),null],x_end:[u.XCoordinateSpec,{field:\"x_end\"}],y_end:[u.YCoordinateSpec,{field:\"y_end\"}],end_units:[d.SpatialUnits,\"data\"],end:[e(t(o.ArrowHead)),()=>new o.OpenHead]})))},\n function _(t,e,n,s,a){s();const o=t(1);var i;const c=t(40),r=t(70),_=t(75),l=t(78),h=(0,o.__importStar)(t(18));class d extends c.AnnotationView{constructor(){super(...arguments),this._initial_set_data=!1}connect_signals(){super.connect_signals();const t=()=>{this.set_data(this.model.source),this._rerender()};this.connect(this.model.change,t),this.connect(this.model.source.streaming,t),this.connect(this.model.source.patching,t),this.connect(this.model.source.change,t)}_rerender(){this.request_render()}set_data(t){const e=this;for(const n of this.model)if(n instanceof h.VectorSpec||n instanceof h.ScalarSpec)if(n instanceof h.BaseCoordinateSpec){const s=n.array(t);e[`_${n.attr}`]=s}else{const s=n.uniform(t);e[`${n.attr}`]=s}this.plot_model.use_map&&(null!=e._x&&l.inplace.project_xy(e._x,e._y),null!=e._xs&&l.inplace.project_xsys(e._xs,e._ys));for(const t of this.visuals)t.update()}_render(){this._initial_set_data||(this.set_data(this.model.source),this._initial_set_data=!0),this.map_data(),this.paint(this.layer.ctx)}}n.DataAnnotationView=d,d.__name__=\"DataAnnotationView\";class u extends c.Annotation{constructor(t){super(t)}}n.DataAnnotation=u,i=u,u.__name__=\"DataAnnotation\",i.define((({Ref:t})=>({source:[t(r.ColumnarDataSource),()=>new _.ColumnDataSource]})))},\n function _(t,e,n,s,a){var i;s();const r=t(71),l=t(15),c=t(19),o=t(73),h=t(8),u=t(9),g=t(13),d=t(72),_=t(74),m=t(29);class w extends r.DataSource{constructor(t){super(t),this.selection_manager=new o.SelectionManager(this)}get_array(t){let e=this.data[t];return null==e?this.data[t]=e=[]:(0,h.isArray)(e)||(this.data[t]=e=Array.from(e)),e}initialize(){super.initialize(),this._select=new l.Signal0(this,\"select\"),this.inspect=new l.Signal(this,\"inspect\"),this.streaming=new l.Signal0(this,\"streaming\"),this.patching=new l.Signal(this,\"patching\")}get_column(t){const e=this.data[t];return null!=e?e:null}columns(){return(0,g.keys)(this.data)}get_length(t=!0){const e=(0,u.uniq)((0,g.values)(this.data).map((t=>(0,m.is_NDArray)(t)?t.shape[0]:t.length)));switch(e.length){case 0:return null;case 1:return e[0];default:{const n=\"data source has columns of inconsistent lengths\";if(t)return c.logger.warn(n),e.sort()[0];throw new Error(n)}}}get length(){var t;return null!==(t=this.get_length())&&void 0!==t?t:0}clear(){const t={};for(const e of this.columns())t[e]=new this.data[e].constructor(0);this.data=t}}n.ColumnarDataSource=w,i=w,w.__name__=\"ColumnarDataSource\",i.define((({Ref:t})=>({selection_policy:[t(_.SelectionPolicy),()=>new _.UnionRenderers]}))),i.internal((({AnyRef:t})=>({inspected:[t(),()=>new d.Selection]})))},\n function _(e,c,n,t,o){var a;t();const s=e(53),r=e(72);class l extends s.Model{constructor(e){super(e)}}n.DataSource=l,a=l,l.__name__=\"DataSource\",a.define((({Ref:e})=>({selected:[e(r.Selection),()=>new r.Selection]})))},\n function _(i,e,s,t,n){var l;t();const c=i(53),d=i(9),h=i(13);class _ extends c.Model{constructor(i){super(i)}get_view(){return this.view}get selected_glyph(){return this.selected_glyphs.length>0?this.selected_glyphs[0]:null}add_to_selected_glyphs(i){this.selected_glyphs.push(i)}update(i,e=!0,s=\"replace\"){switch(s){case\"replace\":this.indices=i.indices,this.line_indices=i.line_indices,this.multiline_indices=i.multiline_indices,this.image_indices=i.image_indices,this.view=i.view,this.selected_glyphs=i.selected_glyphs;break;case\"append\":this.update_through_union(i);break;case\"intersect\":this.update_through_intersection(i);break;case\"subtract\":this.update_through_subtraction(i)}}clear(){this.indices=[],this.line_indices=[],this.multiline_indices={},this.image_indices=[],this.view=null,this.selected_glyphs=[]}map(i){return new _(Object.assign(Object.assign({},this.attributes),{indices:this.indices.map(i),multiline_indices:(0,h.to_object)((0,h.entries)(this.multiline_indices).map((([e,s])=>[i(Number(e)),s]))),image_indices:this.image_indices.map((e=>Object.assign(Object.assign({},e),{index:i(e.index)})))}))}is_empty(){return 0==this.indices.length&&0==this.line_indices.length&&0==this.image_indices.length}update_through_union(i){this.indices=(0,d.union)(this.indices,i.indices),this.selected_glyphs=(0,d.union)(i.selected_glyphs,this.selected_glyphs),this.line_indices=(0,d.union)(i.line_indices,this.line_indices),this.view=i.view,this.multiline_indices=(0,h.merge)(i.multiline_indices,this.multiline_indices)}update_through_intersection(i){this.indices=(0,d.intersection)(this.indices,i.indices),this.selected_glyphs=(0,d.union)(i.selected_glyphs,this.selected_glyphs),this.line_indices=(0,d.union)(i.line_indices,this.line_indices),this.view=i.view,this.multiline_indices=(0,h.merge)(i.multiline_indices,this.multiline_indices)}update_through_subtraction(i){this.indices=(0,d.difference)(this.indices,i.indices),this.selected_glyphs=(0,d.union)(i.selected_glyphs,this.selected_glyphs),this.line_indices=(0,d.union)(i.line_indices,this.line_indices),this.view=i.view,this.multiline_indices=(0,h.merge)(i.multiline_indices,this.multiline_indices)}}s.Selection=_,l=_,_.__name__=\"Selection\",l.define((({Int:i,Array:e,Dict:s})=>({indices:[e(i),[]],line_indices:[e(i),[]],multiline_indices:[s(e(i)),{}]}))),l.internal((({Int:i,Array:e,AnyRef:s,Struct:t,Nullable:n})=>({selected_glyphs:[e(s()),[]],view:[n(s()),null],image_indices:[e(t({index:i,dim1:i,dim2:i,flat_index:i})),[]]})))},\n function _(e,t,o,s,c){s();const n=e(72);function i(e){return\"GlyphRenderer\"==e.model.type}function l(e){return\"GraphRenderer\"==e.model.type}class r{constructor(e){this.source=e,this.inspectors=new Map}select(e,t,o,s=\"replace\"){const c=[],n=[];for(const t of e)i(t)?c.push(t):l(t)&&n.push(t);let r=!1;for(const e of n){const c=e.model.selection_policy.hit_test(t,e);r=r||e.model.selection_policy.do_selection(c,e.model,o,s)}if(c.length>0){const e=this.source.selection_policy.hit_test(t,c);r=r||this.source.selection_policy.do_selection(e,this.source,o,s)}return r}inspect(e,t){let o=!1;if(i(e)){const s=e.hit_test(t);if(null!=s){o=!s.is_empty();const c=this.get_or_create_inspector(e.model);c.update(s,!0,\"replace\"),this.source.setv({inspected:c},{silent:!0}),this.source.inspect.emit([e.model,{geometry:t}])}}else if(l(e)){const s=e.model.inspection_policy.hit_test(t,e);o=o||e.model.inspection_policy.do_inspection(s,t,e,!1,\"replace\")}return o}clear(e){this.source.selected.clear(),null!=e&&this.get_or_create_inspector(e.model).clear()}get_or_create_inspector(e){let t=this.inspectors.get(e);return null==t&&(t=new n.Selection,this.inspectors.set(e,t)),t}}o.SelectionManager=r,r.__name__=\"SelectionManager\"},\n function _(e,t,n,s,o){s();const r=e(53);class c extends r.Model{do_selection(e,t,n,s){return null!=e&&(t.selected.update(e,n,s),t._select.emit(),!t.selected.is_empty())}}n.SelectionPolicy=c,c.__name__=\"SelectionPolicy\";class l extends c{hit_test(e,t){const n=[];for(const s of t){const t=s.hit_test(e);null!=t&&n.push(t)}if(n.length>0){const e=n[0];for(const t of n)e.update_through_intersection(t);return e}return null}}n.IntersectRenderers=l,l.__name__=\"IntersectRenderers\";class _ extends c{hit_test(e,t){const n=[];for(const s of t){const t=s.hit_test(e);null!=t&&n.push(t)}if(n.length>0){const e=n[0];for(const t of n)e.update_through_union(t);return e}return null}}n.UnionRenderers=_,_.__name__=\"UnionRenderers\"},\n function _(t,n,e,s,o){s();const r=t(1);var l;const c=t(70),i=t(8),a=t(13),u=(0,r.__importStar)(t(76)),h=t(77),d=t(35);function f(t,n,e){if((0,i.isArray)(t)){const s=t.concat(n);return null!=e&&s.length>e?s.slice(-e):s}if((0,i.isTypedArray)(t)){const s=t.length+n.length;if(null!=e&&s>e){const o=s-e,r=t.length;let l;t.length({data:[t(n),{}]})))},\n function _(t,n,o,e,c){e(),o.concat=function(t,...n){let o=t.length;for(const t of n)o+=t.length;const e=new t.constructor(o);e.set(t,0);let c=t.length;for(const t of n)e.set(t,c),c+=t.length;return e}},\n function _(n,o,t,e,f){function c(...n){const o=new Set;for(const t of n)for(const n of t)o.add(n);return o}e(),t.union=c,t.intersection=function(n,...o){const t=new Set;n:for(const e of n){for(const n of o)if(!n.has(e))continue n;t.add(e)}return t},t.difference=function(n,...o){const t=new Set(n);for(const n of c(...o))t.delete(n);return t}},\n function _(n,t,e,o,r){o();const c=n(1),l=(0,c.__importDefault)(n(79)),i=(0,c.__importDefault)(n(80)),u=n(24),a=new i.default(\"GOOGLE\"),s=new i.default(\"WGS84\"),f=(0,l.default)(s,a);e.wgs84_mercator={compute:(n,t)=>isFinite(n)&&isFinite(t)?f.forward([n,t]):[NaN,NaN],invert:(n,t)=>isFinite(n)&&isFinite(t)?f.inverse([n,t]):[NaN,NaN]};const _={lon:[-20026376.39,20026376.39],lat:[-20048966.1,20048966.1]},p={lon:[-180,180],lat:[-85.06,85.06]},{min:g,max:h}=Math;function m(n,t){const o=g(n.length,t.length),r=(0,u.infer_type)(n,t),c=new r(o),l=new r(o);return e.inplace.project_xy(n,t,c,l),[c,l]}e.clip_mercator=function(n,t,e){const[o,r]=_[e];return[h(n,o),g(t,r)]},e.in_bounds=function(n,t){const[e,o]=p[t];return e2?void 0!==e.name&&\"geocent\"===e.name||void 0!==n.name&&\"geocent\"===n.name?\"number\"==typeof o.z?[o.x,o.y,o.z].concat(t.splice(3)):[o.x,o.y,t[2]].concat(t.splice(3)):[o.x,o.y].concat(t.splice(2)):[o.x,o.y]):(a=(0,c.default)(e,n,t,r),2===(i=Object.keys(t)).length||i.forEach((function(r){if(void 0!==e.name&&\"geocent\"===e.name||void 0!==n.name&&\"geocent\"===n.name){if(\"x\"===r||\"y\"===r||\"z\"===r)return}else if(\"x\"===r||\"y\"===r)return;a[r]=t[r]})),a)}function l(e){return e instanceof i.default?e:e.oProj?e.oProj:(0,i.default)(e)}t.default=function(e,n,t){e=l(e);var r,o=!1;return void 0===n?(n=e,e=u,o=!0):(void 0!==n.x||Array.isArray(n))&&(t=n,n=e,e=u,o=!0),n=l(n),t?f(e,n,t):(r={forward:function(t,r){return f(e,n,t,r)},inverse:function(t,r){return f(n,e,t,r)}},o&&(r.oProj=n),r)}},\n function _(t,e,a,s,i){s();const l=t(1),u=(0,l.__importDefault)(t(81)),r=(0,l.__importDefault)(t(92)),d=(0,l.__importDefault)(t(93)),o=t(101),f=(0,l.__importDefault)(t(103)),p=(0,l.__importDefault)(t(104)),m=(0,l.__importDefault)(t(88)),n=t(105);function h(t,e){if(!(this instanceof h))return new h(t);e=e||function(t){if(t)throw t};var a=(0,u.default)(t);if(\"object\"==typeof a){var s=h.projections.get(a.projName);if(s){if(a.datumCode&&\"none\"!==a.datumCode){var i=(0,m.default)(f.default,a.datumCode);i&&(a.datum_params=a.datum_params||(i.towgs84?i.towgs84.split(\",\"):null),a.ellps=i.ellipse,a.datumName=i.datumName?i.datumName:a.datumCode)}a.k0=a.k0||1,a.axis=a.axis||\"enu\",a.ellps=a.ellps||\"wgs84\",a.lat1=a.lat1||a.lat0;var l=(0,o.sphere)(a.a,a.b,a.rf,a.ellps,a.sphere),d=(0,o.eccentricity)(l.a,l.b,l.rf,a.R_A),_=(0,n.getNadgrids)(a.nadgrids),c=a.datum||(0,p.default)(a.datumCode,a.datum_params,l.a,l.b,d.es,d.ep2,_);(0,r.default)(this,a),(0,r.default)(this,s),this.a=l.a,this.b=l.b,this.rf=l.rf,this.sphere=l.sphere,this.es=d.es,this.e=d.e,this.ep2=d.ep2,this.datum=c,this.init(),e(null,this)}else e(t)}else e(t)}h.projections=d.default,h.projections.start(),a.default=h},\n function _(t,r,n,u,e){u();const f=t(1),i=(0,f.__importDefault)(t(82)),a=(0,f.__importDefault)(t(89)),o=(0,f.__importDefault)(t(84)),l=(0,f.__importDefault)(t(88));var C=[\"PROJECTEDCRS\",\"PROJCRS\",\"GEOGCS\",\"GEOCCS\",\"PROJCS\",\"LOCAL_CS\",\"GEODCRS\",\"GEODETICCRS\",\"GEODETICDATUM\",\"ENGCRS\",\"ENGINEERINGCRS\"];var d=[\"3857\",\"900913\",\"3785\",\"102113\"];n.default=function(t){if(!function(t){return\"string\"==typeof t}(t))return t;if(function(t){return t in i.default}(t))return i.default[t];if(function(t){return C.some((function(r){return t.indexOf(r)>-1}))}(t)){var r=(0,a.default)(t);if(function(t){var r=(0,l.default)(t,\"authority\");if(r){var n=(0,l.default)(r,\"epsg\");return n&&d.indexOf(n)>-1}}(r))return i.default[\"EPSG:3857\"];var n=function(t){var r=(0,l.default)(t,\"extension\");if(r)return(0,l.default)(r,\"proj4\")}(r);return n?(0,o.default)(n):r}return function(t){return\"+\"===t[0]}(t)?(0,o.default)(t):void 0}},\n function _(t,r,i,e,n){e();const f=t(1),a=(0,f.__importDefault)(t(83)),l=(0,f.__importDefault)(t(84)),u=(0,f.__importDefault)(t(89));function o(t){var r=this;if(2===arguments.length){var i=arguments[1];\"string\"==typeof i?\"+\"===i.charAt(0)?o[t]=(0,l.default)(arguments[1]):o[t]=(0,u.default)(arguments[1]):o[t]=i}else if(1===arguments.length){if(Array.isArray(t))return t.map((function(t){Array.isArray(t)?o.apply(r,t):o(t)}));if(\"string\"==typeof t){if(t in o)return o[t]}else\"EPSG\"in t?o[\"EPSG:\"+t.EPSG]=t:\"ESRI\"in t?o[\"ESRI:\"+t.ESRI]=t:\"IAU2000\"in t?o[\"IAU2000:\"+t.IAU2000]=t:console.log(t);return}}(0,a.default)(o),i.default=o},\n function _(t,l,G,S,e){S(),G.default=function(t){t(\"EPSG:4326\",\"+title=WGS 84 (long/lat) +proj=longlat +ellps=WGS84 +datum=WGS84 +units=degrees\"),t(\"EPSG:4269\",\"+title=NAD83 (long/lat) +proj=longlat +a=6378137.0 +b=6356752.31414036 +ellps=GRS80 +datum=NAD83 +units=degrees\"),t(\"EPSG:3857\",\"+title=WGS 84 / Pseudo-Mercator +proj=merc +a=6378137 +b=6378137 +lat_ts=0.0 +lon_0=0.0 +x_0=0.0 +y_0=0 +k=1.0 +units=m +nadgrids=@null +no_defs\"),t.WGS84=t[\"EPSG:4326\"],t[\"EPSG:3785\"]=t[\"EPSG:3857\"],t.GOOGLE=t[\"EPSG:3857\"],t[\"EPSG:900913\"]=t[\"EPSG:3857\"],t[\"EPSG:102113\"]=t[\"EPSG:3857\"]}},\n function _(t,n,o,a,u){a();const e=t(1),r=t(85),i=(0,e.__importDefault)(t(86)),f=(0,e.__importDefault)(t(87)),l=(0,e.__importDefault)(t(88));o.default=function(t){var n,o,a,u={},e=t.split(\"+\").map((function(t){return t.trim()})).filter((function(t){return t})).reduce((function(t,n){var o=n.split(\"=\");return o.push(!0),t[o[0].toLowerCase()]=o[1],t}),{}),c={proj:\"projName\",datum:\"datumCode\",rf:function(t){u.rf=parseFloat(t)},lat_0:function(t){u.lat0=t*r.D2R},lat_1:function(t){u.lat1=t*r.D2R},lat_2:function(t){u.lat2=t*r.D2R},lat_ts:function(t){u.lat_ts=t*r.D2R},lon_0:function(t){u.long0=t*r.D2R},lon_1:function(t){u.long1=t*r.D2R},lon_2:function(t){u.long2=t*r.D2R},alpha:function(t){u.alpha=parseFloat(t)*r.D2R},gamma:function(t){u.rectified_grid_angle=parseFloat(t)},lonc:function(t){u.longc=t*r.D2R},x_0:function(t){u.x0=parseFloat(t)},y_0:function(t){u.y0=parseFloat(t)},k_0:function(t){u.k0=parseFloat(t)},k:function(t){u.k0=parseFloat(t)},a:function(t){u.a=parseFloat(t)},b:function(t){u.b=parseFloat(t)},r_a:function(){u.R_A=!0},zone:function(t){u.zone=parseInt(t,10)},south:function(){u.utmSouth=!0},towgs84:function(t){u.datum_params=t.split(\",\").map((function(t){return parseFloat(t)}))},to_meter:function(t){u.to_meter=parseFloat(t)},units:function(t){u.units=t;var n=(0,l.default)(f.default,t);n&&(u.to_meter=n.to_meter)},from_greenwich:function(t){u.from_greenwich=t*r.D2R},pm:function(t){var n=(0,l.default)(i.default,t);u.from_greenwich=(n||parseFloat(t))*r.D2R},nadgrids:function(t){\"@null\"===t?u.datumCode=\"none\":u.nadgrids=t},axis:function(t){var n=\"ewnsud\";3===t.length&&-1!==n.indexOf(t.substr(0,1))&&-1!==n.indexOf(t.substr(1,1))&&-1!==n.indexOf(t.substr(2,1))&&(u.axis=t)},approx:function(){u.approx=!0}};for(n in e)o=e[n],n in c?\"function\"==typeof(a=c[n])?a(o):u[a]=o:u[n]=o;return\"string\"==typeof u.datumCode&&\"WGS84\"!==u.datumCode&&(u.datumCode=u.datumCode.toLowerCase()),u}},\n function _(S,_,P,R,I){R(),P.PJD_3PARAM=1,P.PJD_7PARAM=2,P.PJD_GRIDSHIFT=3,P.PJD_WGS84=4,P.PJD_NODATUM=5,P.SRS_WGS84_SEMIMAJOR=6378137,P.SRS_WGS84_SEMIMINOR=6356752.314,P.SRS_WGS84_ESQUARED=.0066943799901413165,P.SEC_TO_RAD=484813681109536e-20,P.HALF_PI=Math.PI/2,P.SIXTH=.16666666666666666,P.RA4=.04722222222222222,P.RA6=.022156084656084655,P.EPSLN=1e-10,P.D2R=.017453292519943295,P.R2D=57.29577951308232,P.FORTPI=Math.PI/4,P.TWO_PI=2*Math.PI,P.SPI=3.14159265359},\n function _(o,r,a,e,s){e();var n={};a.default=n,n.greenwich=0,n.lisbon=-9.131906111111,n.paris=2.337229166667,n.bogota=-74.080916666667,n.madrid=-3.687938888889,n.rome=12.452333333333,n.bern=7.439583333333,n.jakarta=106.807719444444,n.ferro=-17.666666666667,n.brussels=4.367975,n.stockholm=18.058277777778,n.athens=23.7163375,n.oslo=10.722916666667},\n function _(t,e,f,o,u){o(),f.default={ft:{to_meter:.3048},\"us-ft\":{to_meter:1200/3937}}},\n function _(e,r,t,a,n){a();var o=/[\\s_\\-\\/\\(\\)]/g;t.default=function(e,r){if(e[r])return e[r];for(var t,a=Object.keys(e),n=r.toLowerCase().replace(o,\"\"),f=-1;++f0?90:-90),e.lat_ts=e.lat1)}(n),n}},\n function _(t,e,r,i,s){i(),r.default=function(t){return new d(t).output()};var h=/\\s/,o=/[A-Za-z]/,n=/[A-Za-z84]/,a=/[,\\]]/,u=/[\\d\\.E\\-\\+]/;function d(t){if(\"string\"!=typeof t)throw new Error(\"not a string\");this.text=t.trim(),this.level=0,this.place=0,this.root=null,this.stack=[],this.currentObject=null,this.state=1}d.prototype.readCharicter=function(){var t=this.text[this.place++];if(4!==this.state)for(;h.test(t);){if(this.place>=this.text.length)return;t=this.text[this.place++]}switch(this.state){case 1:return this.neutral(t);case 2:return this.keyword(t);case 4:return this.quoted(t);case 5:return this.afterquote(t);case 3:return this.number(t);case-1:return}},d.prototype.afterquote=function(t){if('\"'===t)return this.word+='\"',void(this.state=4);if(a.test(t))return this.word=this.word.trim(),void this.afterItem(t);throw new Error(\"havn't handled \\\"\"+t+'\" in afterquote yet, index '+this.place)},d.prototype.afterItem=function(t){return\",\"===t?(null!==this.word&&this.currentObject.push(this.word),this.word=null,void(this.state=1)):\"]\"===t?(this.level--,null!==this.word&&(this.currentObject.push(this.word),this.word=null),this.state=1,this.currentObject=this.stack.pop(),void(this.currentObject||(this.state=-1))):void 0},d.prototype.number=function(t){if(!u.test(t)){if(a.test(t))return this.word=parseFloat(this.word),void this.afterItem(t);throw new Error(\"havn't handled \\\"\"+t+'\" in number yet, index '+this.place)}this.word+=t},d.prototype.quoted=function(t){'\"'!==t?this.word+=t:this.state=5},d.prototype.keyword=function(t){if(n.test(t))this.word+=t;else{if(\"[\"===t){var e=[];return e.push(this.word),this.level++,null===this.root?this.root=e:this.currentObject.push(e),this.stack.push(this.currentObject),this.currentObject=e,void(this.state=1)}if(!a.test(t))throw new Error(\"havn't handled \\\"\"+t+'\" in keyword yet, index 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i=(0,n.default)(this.long0+h/(this.a*this.k0)),t.x=i,t.y=s,t}s.init=f,s.forward=_,s.inverse=M,s.names=[\"Mercator\",\"Popular Visualisation Pseudo Mercator\",\"Mercator_1SP\",\"Mercator_Auxiliary_Sphere\",\"merc\"],s.default={init:f,forward:_,inverse:M,names:s.names}},\n function _(t,n,r,u,a){u(),r.default=function(t,n,r){var u=t*n;return r/Math.sqrt(1-u*u)}},\n function _(t,n,u,a,f){a();const e=t(1),o=t(85),_=(0,e.__importDefault)(t(97));u.default=function(t){return Math.abs(t)<=o.SPI?t:t-(0,_.default)(t)*o.TWO_PI}},\n function _(n,t,u,f,c){f(),u.default=function(n){return n<0?-1:1}},\n function _(t,n,a,o,u){o();const c=t(85);a.default=function(t,n,a){var o=t*a,u=.5*t;return o=Math.pow((1-o)/(1+o),u),Math.tan(.5*(c.HALF_PI-n))/o}},\n function _(t,a,n,r,f){r();const h=t(85);n.default=function(t,a){for(var n,r,f=.5*t,o=h.HALF_PI-2*Math.atan(a),u=0;u<=15;u++)if(n=t*Math.sin(o),o+=r=h.HALF_PI-2*Math.atan(a*Math.pow((1-n)/(1+n),f))-o,Math.abs(r)<=1e-10)return o;return-9999}},\n function _(n,i,e,t,r){function a(){}function f(n){return n}t(),e.init=a,e.forward=f,e.inverse=f,e.names=[\"longlat\",\"identity\"],e.default={init:a,forward:f,inverse:f,names:e.names}},\n function _(t,r,e,a,n){a();const f=t(1),i=t(85),u=(0,f.__importStar)(t(102)),c=(0,f.__importDefault)(t(88));e.eccentricity=function(t,r,e,a){var n=t*t,f=r*r,u=(n-f)/n,c=0;return a?(n=(t*=1-u*(i.SIXTH+u*(i.RA4+u*i.RA6)))*t,u=0):c=Math.sqrt(u),{es:u,e:c,ep2:(n-f)/f}},e.sphere=function(t,r,e,a,n){if(!t){var f=(0,c.default)(u.default,a);f||(f=u.WGS84),t=f.a,r=f.b,e=f.rf}return e&&!r&&(r=(1-1/e)*t),(0===e||Math.abs(t-r)3&&(0===s.datum_params[3]&&0===s.datum_params[4]&&0===s.datum_params[5]&&0===s.datum_params[6]||(s.datum_type=d.PJD_7PARAM,s.datum_params[3]*=d.SEC_TO_RAD,s.datum_params[4]*=d.SEC_TO_RAD,s.datum_params[5]*=d.SEC_TO_RAD,s.datum_params[6]=s.datum_params[6]/1e6+1))),r&&(s.datum_type=d.PJD_GRIDSHIFT,s.grids=r),s.a=_,s.b=t,s.es=u,s.ep2=p,s}},\n function _(t,e,n,r,i){r();var u={};function l(t){if(0===t.length)return null;var e=\"@\"===t[0];return e&&(t=t.slice(1)),\"null\"===t?{name:\"null\",mandatory:!e,grid:null,isNull:!0}:{name:t,mandatory:!e,grid:u[t]||null,isNull:!1}}function o(t){return t/3600*Math.PI/180}function a(t,e,n){return String.fromCharCode.apply(null,new Uint8Array(t.buffer.slice(e,n)))}function d(t){return t.map((function(t){return[o(t.longitudeShift),o(t.latitudeShift)]}))}function g(t,e,n){return{name:a(t,e+8,e+16).trim(),parent:a(t,e+24,e+24+8).trim(),lowerLatitude:t.getFloat64(e+72,n),upperLatitude:t.getFloat64(e+88,n),lowerLongitude:t.getFloat64(e+104,n),upperLongitude:t.getFloat64(e+120,n),latitudeInterval:t.getFloat64(e+136,n),longitudeInterval:t.getFloat64(e+152,n),gridNodeCount:t.getInt32(e+168,n)}}function s(t,e,n,r){for(var i=e+176,u=[],l=0;l1&&console.log(\"Only single NTv2 subgrids are currently supported, subsequent sub grids are ignored\");var l=function(t,e,n){for(var r=176,i=[],u=0;ua.y||f>a.x||N1e-12&&Math.abs(n.y)>1e-12);if(d<0)return console.log(\"Inverse grid shift iterator failed to converge.\"),a;a.x=(0,u.default)(l.x+t.ll[0]),a.y=l.y+t.ll[1]}else isNaN(l.x)||(a.x=r.x+l.x,a.y=r.y+l.y);return a}function f(r,e){var t,a={x:r.x/e.del[0],y:r.y/e.del[1]},i=Math.floor(a.x),l=Math.floor(a.y),n=a.x-1*i,o=a.y-1*l,u={x:Number.NaN,y:Number.NaN};if(i<0||i>=e.lim[0])return u;if(l<0||l>=e.lim[1])return u;t=l*e.lim[0]+i;var d=e.cvs[t][0],s=e.cvs[t][1];t++;var y=e.cvs[t][0],f=e.cvs[t][1];t+=e.lim[0];var x=e.cvs[t][0],m=e.cvs[t][1];t--;var N=e.cvs[t][0],c=e.cvs[t][1],_=n*o,g=n*(1-o),v=(1-n)*(1-o),S=(1-n)*o;return u.x=v*d+g*y+S*N+_*x,u.y=v*s+g*f+S*c+_*m,u}t.default=function(r,e,t){if((0,o.compareDatums)(r,e))return t;if(r.datum_type===n.PJD_NODATUM||e.datum_type===n.PJD_NODATUM)return t;var a=r.a,i=r.es;if(r.datum_type===n.PJD_GRIDSHIFT){if(0!==s(r,!1,t))return;a=n.SRS_WGS84_SEMIMAJOR,i=n.SRS_WGS84_ESQUARED}var l=e.a,u=e.b,y=e.es;if(e.datum_type===n.PJD_GRIDSHIFT&&(l=n.SRS_WGS84_SEMIMAJOR,u=n.SRS_WGS84_SEMIMINOR,y=n.SRS_WGS84_ESQUARED),i===y&&a===l&&!d(r.datum_type)&&!d(e.datum_type))return t;if(t=(0,o.geodeticToGeocentric)(t,i,a),d(r.datum_type)&&(t=(0,o.geocentricToWgs84)(t,r.datum_type,r.datum_params)),d(e.datum_type)&&(t=(0,o.geocentricFromWgs84)(t,e.datum_type,e.datum_params)),t=(0,o.geocentricToGeodetic)(t,y,l,u),e.datum_type===n.PJD_GRIDSHIFT&&0!==s(e,!0,t))return;return t},t.applyGridShift=s},\n function _(a,t,r,m,s){m();const u=a(85);r.compareDatums=function(a,t){return a.datum_type===t.datum_type&&(!(a.a!==t.a||Math.abs(a.es-t.es)>5e-11)&&(a.datum_type===u.PJD_3PARAM?a.datum_params[0]===t.datum_params[0]&&a.datum_params[1]===t.datum_params[1]&&a.datum_params[2]===t.datum_params[2]:a.datum_type!==u.PJD_7PARAM||a.datum_params[0]===t.datum_params[0]&&a.datum_params[1]===t.datum_params[1]&&a.datum_params[2]===t.datum_params[2]&&a.datum_params[3]===t.datum_params[3]&&a.datum_params[4]===t.datum_params[4]&&a.datum_params[5]===t.datum_params[5]&&a.datum_params[6]===t.datum_params[6]))},r.geodeticToGeocentric=function(a,t,r){var m,s,_,e,n=a.x,d=a.y,i=a.z?a.z:0;if(d<-u.HALF_PI&&d>-1.001*u.HALF_PI)d=-u.HALF_PI;else if(d>u.HALF_PI&&d<1.001*u.HALF_PI)d=u.HALF_PI;else{if(d<-u.HALF_PI)return{x:-1/0,y:-1/0,z:a.z};if(d>u.HALF_PI)return{x:1/0,y:1/0,z:a.z}}return n>Math.PI&&(n-=2*Math.PI),s=Math.sin(d),e=Math.cos(d),_=s*s,{x:((m=r/Math.sqrt(1-t*_))+i)*e*Math.cos(n),y:(m+i)*e*Math.sin(n),z:(m*(1-t)+i)*s}},r.geocentricToGeodetic=function(a,t,r,m){var s,_,e,n,d,i,p,P,y,z,M,o,A,c,x,h=1e-12,f=a.x,I=a.y,F=a.z?a.z:0;if(s=Math.sqrt(f*f+I*I),_=Math.sqrt(f*f+I*I+F*F),s/r1e-24&&A<30);return{x:c,y:Math.atan(M/Math.abs(z)),z:x}},r.geocentricToWgs84=function(a,t,r){if(t===u.PJD_3PARAM)return{x:a.x+r[0],y:a.y+r[1],z:a.z+r[2]};if(t===u.PJD_7PARAM){var m=r[0],s=r[1],_=r[2],e=r[3],n=r[4],d=r[5],i=r[6];return{x:i*(a.x-d*a.y+n*a.z)+m,y:i*(d*a.x+a.y-e*a.z)+s,z:i*(-n*a.x+e*a.y+a.z)+_}}},r.geocentricFromWgs84=function(a,t,r){if(t===u.PJD_3PARAM)return{x:a.x-r[0],y:a.y-r[1],z:a.z-r[2]};if(t===u.PJD_7PARAM){var m=r[0],s=r[1],_=r[2],e=r[3],n=r[4],d=r[5],i=r[6],p=(a.x-m)/i,P=(a.y-s)/i,y=(a.z-_)/i;return{x:p+d*P-n*y,y:-d*p+P+e*y,z:n*p-e*P+y}}}},\n function _(e,a,i,r,s){r(),i.default=function(e,a,i){var r,s,n,c=i.x,d=i.y,f=i.z||0,u={};for(n=0;n<3;n++)if(!a||2!==n||void 0!==i.z)switch(0===n?(r=c,s=-1!==\"ew\".indexOf(e.axis[n])?\"x\":\"y\"):1===n?(r=d,s=-1!==\"ns\".indexOf(e.axis[n])?\"y\":\"x\"):(r=f,s=\"z\"),e.axis[n]){case\"e\":u[s]=r;break;case\"w\":u[s]=-r;break;case\"n\":u[s]=r;break;case\"s\":u[s]=-r;break;case\"u\":void 0!==i[s]&&(u.z=r);break;case\"d\":void 0!==i[s]&&(u.z=-r);break;default:return null}return u}},\n function _(n,t,e,u,f){u(),e.default=function(n){var t={x:n[0],y:n[1]};return n.length>2&&(t.z=n[2]),n.length>3&&(t.m=n[3]),t}},\n function _(e,i,n,t,r){function o(e){if(\"function\"==typeof Number.isFinite){if(Number.isFinite(e))return;throw new TypeError(\"coordinates must be finite numbers\")}if(\"number\"!=typeof e||e!=e||!isFinite(e))throw new TypeError(\"coordinates must be finite numbers\")}t(),n.default=function(e){o(e.x),o(e.y)}},\n function _(e,i,s,t,o){t();const n=e(1);var l,a,r,_,c;const d=e(53),v=e(42),u=(0,n.__importStar)(e(45)),h=e(48),m=(0,n.__importStar)(e(18));class T extends v.View{initialize(){super.initialize(),this.visuals=new u.Visuals(this)}request_render(){this.parent.request_render()}get canvas(){return this.parent.canvas}set_data(e){const i=this;for(const s of this.model){if(!(s instanceof m.VectorSpec||s instanceof m.ScalarSpec))continue;const t=s.uniform(e);i[`${s.attr}`]=t}}}s.ArrowHeadView=T,T.__name__=\"ArrowHeadView\";class p extends d.Model{constructor(e){super(e)}}s.ArrowHead=p,l=p,p.__name__=\"ArrowHead\",l.define((()=>({size:[m.NumberSpec,25]})));class V extends T{clip(e,i){this.visuals.line.set_vectorize(e,i);const s=this.size.get(i);e.moveTo(.5*s,s),e.lineTo(.5*s,-2),e.lineTo(-.5*s,-2),e.lineTo(-.5*s,s),e.lineTo(0,0),e.lineTo(.5*s,s)}render(e,i){if(this.visuals.line.doit){this.visuals.line.set_vectorize(e,i);const s=this.size.get(i);e.beginPath(),e.moveTo(.5*s,s),e.lineTo(0,0),e.lineTo(-.5*s,s),e.stroke()}}}s.OpenHeadView=V,V.__name__=\"OpenHeadView\";class f extends p{constructor(e){super(e)}}s.OpenHead=f,a=f,f.__name__=\"OpenHead\",a.prototype.default_view=V,a.mixins(h.LineVector);class w extends T{clip(e,i){this.visuals.line.set_vectorize(e,i);const s=this.size.get(i);e.moveTo(.5*s,s),e.lineTo(.5*s,-2),e.lineTo(-.5*s,-2),e.lineTo(-.5*s,s),e.lineTo(.5*s,s)}render(e,i){this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(e,i),this._normal(e,i),e.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,i),this._normal(e,i),e.stroke())}_normal(e,i){const s=this.size.get(i);e.beginPath(),e.moveTo(.5*s,s),e.lineTo(0,0),e.lineTo(-.5*s,s),e.closePath()}}s.NormalHeadView=w,w.__name__=\"NormalHeadView\";class H extends p{constructor(e){super(e)}}s.NormalHead=H,r=H,H.__name__=\"NormalHead\",r.prototype.default_view=w,r.mixins([h.LineVector,h.FillVector]),r.override({fill_color:\"black\"});class z extends T{clip(e,i){this.visuals.line.set_vectorize(e,i);const s=this.size.get(i);e.moveTo(.5*s,s),e.lineTo(.5*s,-2),e.lineTo(-.5*s,-2),e.lineTo(-.5*s,s),e.lineTo(0,.5*s),e.lineTo(.5*s,s)}render(e,i){this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(e,i),this._vee(e,i),e.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,i),this._vee(e,i),e.stroke())}_vee(e,i){const s=this.size.get(i);e.beginPath(),e.moveTo(.5*s,s),e.lineTo(0,0),e.lineTo(-.5*s,s),e.lineTo(0,.5*s),e.closePath()}}s.VeeHeadView=z,z.__name__=\"VeeHeadView\";class x extends p{constructor(e){super(e)}}s.VeeHead=x,_=x,x.__name__=\"VeeHead\",_.prototype.default_view=z,_.mixins([h.LineVector,h.FillVector]),_.override({fill_color:\"black\"});class g extends T{render(e,i){if(this.visuals.line.doit){this.visuals.line.set_vectorize(e,i);const s=this.size.get(i);e.beginPath(),e.moveTo(.5*s,0),e.lineTo(-.5*s,0),e.stroke()}}clip(e,i){}}s.TeeHeadView=g,g.__name__=\"TeeHeadView\";class b extends p{constructor(e){super(e)}}s.TeeHead=b,c=b,b.__name__=\"TeeHead\",c.prototype.default_view=g,c.mixins(h.LineVector)},\n function _(n,e,t,i,o){i();const s=n(9);async function c(n,e,t){const i=new n(Object.assign(Object.assign({},t),{model:e}));return i.initialize(),await i.lazy_initialize(),i}t.build_view=async function(n,e={parent:null},t=(n=>n.default_view)){const i=await c(t(n),n,e);return i.connect_signals(),i},t.build_views=async function(n,e,t={parent:null},i=(n=>n.default_view)){const o=(0,s.difference)([...n.keys()],e);for(const e of o)n.get(e).remove(),n.delete(e);const a=[],f=e.filter((e=>!n.has(e)));for(const e of f){const o=await c(i(e),e,t);n.set(e,o),a.push(o)}for(const n of a)n.connect_signals();return a},t.remove_views=function(n){for(const[e,t]of n)t.remove(),n.delete(e)}},\n function _(e,s,_,i,l){i();const t=e(1);var o;const r=e(115),p=(0,t.__importStar)(e(48));class h extends r.UpperLowerView{paint(e){e.beginPath(),e.moveTo(this._lower_sx[0],this._lower_sy[0]);for(let s=0,_=this._lower_sx.length;s<_;s++)e.lineTo(this._lower_sx[s],this._lower_sy[s]);for(let s=this._upper_sx.length-1;s>=0;s--)e.lineTo(this._upper_sx[s],this._upper_sy[s]);e.closePath(),this.visuals.fill.apply(e),e.beginPath(),e.moveTo(this._lower_sx[0],this._lower_sy[0]);for(let s=0,_=this._lower_sx.length;s<_;s++)e.lineTo(this._lower_sx[s],this._lower_sy[s]);this.visuals.line.apply(e),e.beginPath(),e.moveTo(this._upper_sx[0],this._upper_sy[0]);for(let s=0,_=this._upper_sx.length;s<_;s++)e.lineTo(this._upper_sx[s],this._upper_sy[s]);this.visuals.line.apply(e)}}_.BandView=h,h.__name__=\"BandView\";class n extends r.UpperLower{constructor(e){super(e)}}_.Band=n,o=n,n.__name__=\"Band\",o.prototype.default_view=h,o.mixins([p.Line,p.Fill]),o.override({fill_color:\"#fff9ba\",fill_alpha:.4,line_color:\"#cccccc\",line_alpha:.3})},\n function _(e,t,i,s,o){s();const r=e(1);var n;const p=e(69),a=e(20),_=(0,r.__importStar)(e(18));class h extends p.DataAnnotationView{map_data(){const{frame:e}=this.plot_view,t=this.model.dimension,i=this.coordinates.x_scale,s=this.coordinates.y_scale,o=\"height\"==t?s:i,r=\"height\"==t?i:s,n=\"height\"==t?e.bbox.yview:e.bbox.xview,p=\"height\"==t?e.bbox.xview:e.bbox.yview;let a,_,h;a=\"data\"==this.model.properties.lower.units?o.v_compute(this._lower):n.v_compute(this._lower),_=\"data\"==this.model.properties.upper.units?o.v_compute(this._upper):n.v_compute(this._upper),h=\"data\"==this.model.properties.base.units?r.v_compute(this._base):p.v_compute(this._base);const[d,c]=\"height\"==t?[1,0]:[0,1],u=[a,h],l=[_,h];this._lower_sx=u[d],this._lower_sy=u[c],this._upper_sx=l[d],this._upper_sy=l[c]}}i.UpperLowerView=h,h.__name__=\"UpperLowerView\";class d extends _.CoordinateSpec{get dimension(){return\"width\"==this.obj.dimension?\"x\":\"y\"}get units(){var e;return null!==(e=this.spec.units)&&void 0!==e?e:\"data\"}}i.XOrYCoordinateSpec=d,d.__name__=\"XOrYCoordinateSpec\";class c extends p.DataAnnotation{constructor(e){super(e)}}i.UpperLower=c,n=c,c.__name__=\"UpperLower\",n.define((()=>({dimension:[a.Dimension,\"height\"],lower:[d,{field:\"lower\"}],upper:[d,{field:\"upper\"}],base:[d,{field:\"base\"}]})))},\n function _(t,o,i,n,e){n();const s=t(1);var l;const r=t(40),a=(0,s.__importStar)(t(48)),c=t(20),h=t(65);i.EDGE_TOLERANCE=2.5;class b extends r.AnnotationView{constructor(){super(...arguments),this.bbox=new h.BBox}connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.request_render()))}_render(){const{left:t,right:o,top:i,bottom:n}=this.model;if(null==t&&null==o&&null==i&&null==n)return;const{frame:e}=this.plot_view,s=this.coordinates.x_scale,l=this.coordinates.y_scale,r=(t,o,i,n,e)=>{let s;return s=null!=t?this.model.screen?t:\"data\"==o?i.compute(t):n.compute(t):e,s};this.bbox=h.BBox.from_rect({left:r(t,this.model.left_units,s,e.bbox.xview,e.bbox.left),right:r(o,this.model.right_units,s,e.bbox.xview,e.bbox.right),top:r(i,this.model.top_units,l,e.bbox.yview,e.bbox.top),bottom:r(n,this.model.bottom_units,l,e.bbox.yview,e.bbox.bottom)}),this._paint_box()}_paint_box(){const{ctx:t}=this.layer;t.save();const{left:o,top:i,width:n,height:e}=this.bbox;t.beginPath(),t.rect(o,i,n,e),this.visuals.fill.apply(t),this.visuals.hatch.apply(t),this.visuals.line.apply(t),t.restore()}interactive_bbox(){const t=this.model.line_width+i.EDGE_TOLERANCE;return this.bbox.grow_by(t)}interactive_hit(t,o){if(null==this.model.in_cursor)return!1;return this.interactive_bbox().contains(t,o)}cursor(t,o){const{left:i,right:n,bottom:e,top:s}=this.bbox;return Math.abs(t-i)<3||Math.abs(t-n)<3?this.model.ew_cursor:Math.abs(o-e)<3||Math.abs(o-s)<3?this.model.ns_cursor:this.bbox.contains(t,o)?this.model.in_cursor:null}}i.BoxAnnotationView=b,b.__name__=\"BoxAnnotationView\";class u extends r.Annotation{constructor(t){super(t)}update({left:t,right:o,top:i,bottom:n}){this.setv({left:t,right:o,top:i,bottom:n,screen:!0})}}i.BoxAnnotation=u,l=u,u.__name__=\"BoxAnnotation\",l.prototype.default_view=b,l.mixins([a.Line,a.Fill,a.Hatch]),l.define((({Number:t,Nullable:o})=>({top:[o(t),null],top_units:[c.SpatialUnits,\"data\"],bottom:[o(t),null],bottom_units:[c.SpatialUnits,\"data\"],left:[o(t),null],left_units:[c.SpatialUnits,\"data\"],right:[o(t),null],right_units:[c.SpatialUnits,\"data\"],render_mode:[c.RenderMode,\"canvas\"]}))),l.internal((({Boolean:t,String:o,Nullable:i})=>({screen:[t,!1],ew_cursor:[i(o),null],ns_cursor:[i(o),null],in_cursor:[i(o),null]}))),l.override({fill_color:\"#fff9ba\",fill_alpha:.4,line_color:\"#cccccc\",line_alpha:.3})},\n function _(t,e,i,o,n){o();const a=t(1);var r;const s=t(40),l=t(118),_=t(126),c=t(127),h=t(130),u=t(168),p=t(131),m=t(192),g=t(132),d=t(173),f=t(172),w=t(196),b=t(204),v=t(206),x=t(133),y=t(20),k=(0,a.__importStar)(t(48)),z=t(9),j=t(207),C=t(208),L=t(211),B=t(123),S=t(11),M=t(113),T=t(65),A=t(8);class O extends s.AnnotationView{get orientation(){return this._orientation}initialize(){super.initialize();const{ticker:t,formatter:e,color_mapper:i}=this.model;this._ticker=\"auto\"!=t?t:(()=>{switch(!0){case i instanceof w.LogColorMapper:return new u.LogTicker;case i instanceof w.ScanningColorMapper:return new u.BinnedTicker({mapper:i});case i instanceof w.CategoricalColorMapper:return new u.CategoricalTicker;default:return new u.BasicTicker}})(),this._formatter=\"auto\"!=e?e:(()=>{switch(!0){case this._ticker instanceof u.LogTicker:return new m.LogTickFormatter;case i instanceof w.CategoricalColorMapper:return new m.CategoricalTickFormatter;default:return new m.BasicTickFormatter}})(),this._major_range=(()=>{if(i instanceof w.CategoricalColorMapper){const{factors:t}=i;return new v.FactorRange({factors:t})}if(i instanceof f.ContinuousColorMapper){const{min:t,max:e}=i.metrics;return new v.Range1d({start:t,end:e})}(0,S.unreachable)()})(),this._major_scale=(()=>{if(i instanceof w.LinearColorMapper)return new b.LinearScale;if(i instanceof w.LogColorMapper)return new b.LogScale;if(i instanceof w.ScanningColorMapper){const{binning:t}=i.metrics;return new b.LinearInterpolationScale({binning:t})}if(i instanceof w.CategoricalColorMapper)return new b.CategoricalScale;(0,S.unreachable)()})(),this._minor_range=new v.Range1d({start:0,end:1}),this._minor_scale=new b.LinearScale;const o=k.attrs_of(this.model,\"major_label_\",k.Text,!0),n=k.attrs_of(this.model,\"major_tick_\",k.Line,!0),a=k.attrs_of(this.model,\"minor_tick_\",k.Line,!0),r=k.attrs_of(this.model,\"title_\",k.Text),s=i instanceof w.CategoricalColorMapper?c.CategoricalAxis:i instanceof w.LogColorMapper?c.LogAxis:c.LinearAxis;this._axis=new s(Object.assign(Object.assign(Object.assign({ticker:this._ticker,formatter:this._formatter,major_tick_in:this.model.major_tick_in,major_tick_out:this.model.major_tick_out,minor_tick_in:this.model.minor_tick_in,minor_tick_out:this.model.minor_tick_out,major_label_standoff:this.model.label_standoff,major_label_overrides:this.model.major_label_overrides,major_label_policy:this.model.major_label_policy,axis_line_color:null},o),n),a));const{title:_}=this.model;_&&(this._title=new l.Title(Object.assign({text:_,standoff:this.model.title_standoff},r)))}async lazy_initialize(){await super.lazy_initialize();const t=this,e={get parent(){return t.parent},get root(){return t.root},get frame(){return t._frame},get canvas_view(){return t.parent.canvas_view},request_layout(){t.parent.request_layout()}};this._axis_view=await(0,M.build_view)(this._axis,{parent:e}),null!=this._title&&(this._title_view=await(0,M.build_view)(this._title,{parent:e}))}remove(){var t;null===(t=this._title_view)||void 0===t||t.remove(),this._axis_view.remove(),super.remove()}connect_signals(){super.connect_signals(),this.connect(this._ticker.change,(()=>this.request_render())),this.connect(this._formatter.change,(()=>this.request_render())),this.connect(this.model.color_mapper.metrics_change,(()=>{const t=this._major_range,e=this._major_scale,{color_mapper:i}=this.model;if(i instanceof f.ContinuousColorMapper&&t instanceof v.Range1d){const{min:e,max:o}=i.metrics;t.setv({start:e,end:o})}if(i instanceof w.ScanningColorMapper&&e instanceof b.LinearInterpolationScale){const{binning:t}=i.metrics;e.binning=t}this._set_canvas_image(),this.plot_view.request_layout()}))}_set_canvas_image(){const{orientation:t}=this,e=(()=>{const{palette:e}=this.model.color_mapper;return\"vertical\"==t?(0,z.reversed)(e):e})(),[i,o]=\"vertical\"==t?[1,e.length]:[e.length,1],n=this._image=document.createElement(\"canvas\");n.width=i,n.height=o;const a=n.getContext(\"2d\"),r=a.getImageData(0,0,i,o),s=new w.LinearColorMapper({palette:e}).rgba_mapper.v_compute((0,z.range)(0,e.length));r.data.set(s),a.putImageData(r,0,0)}update_layout(){const{location:t,width:e,height:i,padding:o,margin:n}=this.model,[a,r]=(()=>{if(!(0,A.isString)(t))return[\"end\",\"start\"];switch(t){case\"top_left\":return[\"start\",\"start\"];case\"top\":case\"top_center\":return[\"start\",\"center\"];case\"top_right\":return[\"start\",\"end\"];case\"bottom_left\":return[\"end\",\"start\"];case\"bottom\":case\"bottom_center\":return[\"end\",\"center\"];case\"bottom_right\":return[\"end\",\"end\"];case\"left\":case\"center_left\":return[\"center\",\"start\"];case\"center\":case\"center_center\":return[\"center\",\"center\"];case\"right\":case\"center_right\":return[\"center\",\"end\"]}})(),s=this._orientation=(()=>{const{orientation:t}=this.model;return\"auto\"==t?null!=this.panel?this.panel.is_horizontal?\"horizontal\":\"vertical\":\"start\"==r||\"end\"==r||\"center\"==r&&\"center\"==a?\"vertical\":\"horizontal\":t})(),l=new C.NodeLayout,c=new C.VStack,h=new C.VStack,u=new C.HStack,p=new C.HStack;l.absolute=!0,c.absolute=!0,h.absolute=!0,u.absolute=!0,p.absolute=!0;const[m,g,d,f]=(()=>\"horizontal\"==s?[this._major_scale,this._minor_scale,this._major_range,this._minor_range]:[this._minor_scale,this._major_scale,this._minor_range,this._major_range])();this._frame=new _.CartesianFrame(m,g,d,f),l.on_resize((t=>this._frame.set_geometry(t)));const w=new L.BorderLayout;this._inner_layout=w,w.absolute=!0,w.center_panel=l,w.top_panel=c,w.bottom_panel=h,w.left_panel=u,w.right_panel=p;const b={left:o,right:o,top:o,bottom:o},v=(()=>{if(null==this.panel){if((0,A.isString)(t))return{left:n,right:n,top:n,bottom:n};{const[e,i]=t;return{left:e,right:n,top:n,bottom:i}}}if(!(0,A.isString)(t)){const[e,i]=t;return w.fixup_geometry=(t,o)=>{const n=t,a=this.layout.bbox,{width:r,height:s}=t;if(t=new T.BBox({left:a.left+e,bottom:a.bottom-i,width:r,height:s}),null!=o){const e=t.left-n.left,i=t.top-n.top,{left:a,top:r,width:s,height:l}=o;o=new T.BBox({left:a+e,top:r+i,width:s,height:l})}return[t,o]},{left:e,right:0,top:0,bottom:i}}w.fixup_geometry=(t,e)=>{const i=t;if(\"horizontal\"==s){const{top:e,width:i,height:o}=t;if(\"end\"==r){const{right:n}=this.layout.bbox;t=new T.BBox({right:n,top:e,width:i,height:o})}else if(\"center\"==r){const{hcenter:n}=this.layout.bbox;t=new T.BBox({hcenter:Math.round(n),top:e,width:i,height:o})}}else{const{left:e,width:i,height:o}=t;if(\"end\"==a){const{bottom:n}=this.layout.bbox;t=new T.BBox({left:e,bottom:n,width:i,height:o})}else if(\"center\"==a){const{vcenter:n}=this.layout.bbox;t=new T.BBox({left:e,vcenter:Math.round(n),width:i,height:o})}}if(null!=e){const o=t.left-i.left,n=t.top-i.top,{left:a,top:r,width:s,height:l}=e;e=new T.BBox({left:a+o,top:r+n,width:s,height:l})}return[t,e]}})();let x,y,k,z;if(w.padding=b,null!=this.panel?(x=\"max\",y=void 0,k=void 0,z=void 0):\"auto\"==(\"horizontal\"==s?e:i)?(x=\"fixed\",y=25*this.model.color_mapper.palette.length,k={percent:.3},z={percent:.8}):(x=\"fit\",y=void 0),\"horizontal\"==s){const t=\"auto\"==e?void 0:e,o=\"auto\"==i?25:i;w.set_sizing({width_policy:x,height_policy:\"min\",width:y,min_width:k,max_width:z,halign:r,valign:a,margin:v}),w.center_panel.set_sizing({width_policy:\"auto\"==e?\"fit\":\"fixed\",height_policy:\"fixed\",width:t,height:o})}else{const t=\"auto\"==e?25:e,o=\"auto\"==i?void 0:i;w.set_sizing({width_policy:\"min\",height_policy:x,height:y,min_height:k,max_height:z,halign:r,valign:a,margin:v}),w.center_panel.set_sizing({width_policy:\"fixed\",height_policy:\"auto\"==i?\"fit\":\"fixed\",width:t,height:o})}c.set_sizing({width_policy:\"fit\",height_policy:\"min\"}),h.set_sizing({width_policy:\"fit\",height_policy:\"min\"}),u.set_sizing({width_policy:\"min\",height_policy:\"fit\"}),p.set_sizing({width_policy:\"min\",height_policy:\"fit\"});const{_title_view:S}=this;null!=S&&(\"horizontal\"==s?(S.panel=new B.Panel(\"above\"),S.update_layout(),c.children.push(S.layout)):(S.panel=new B.Panel(\"left\"),S.update_layout(),u.children.push(S.layout)));const{panel:M}=this,O=null!=M&&s==M.orientation?M.side:\"horizontal\"==s?\"below\":\"right\",R=(()=>{switch(O){case\"above\":return c;case\"below\":return h;case\"left\":return u;case\"right\":return p}})(),{_axis_view:F}=this;if(F.panel=new B.Panel(O),F.update_layout(),R.children.push(F.layout),null!=this.panel){const t=new j.Grid([{layout:w,row:0,col:0}]);t.absolute=!0,\"horizontal\"==s?t.set_sizing({width_policy:\"max\",height_policy:\"min\"}):t.set_sizing({width_policy:\"min\",height_policy:\"max\"}),this.layout=t}else this.layout=this._inner_layout;const{visible:I}=this.model;this.layout.sizing.visible=I,this._set_canvas_image()}_render(){var t;const{ctx:e}=this.layer;e.save(),this._paint_bbox(e,this._inner_layout.bbox),this._paint_image(e,this._inner_layout.center_panel.bbox),null===(t=this._title_view)||void 0===t||t.render(),this._axis_view.render(),e.restore()}_paint_bbox(t,e){const{x:i,y:o}=e;let{width:n,height:a}=e;i+n>=this.parent.canvas_view.bbox.width&&(n-=1),o+a>=this.parent.canvas_view.bbox.height&&(a-=1),t.save(),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(t),t.fillRect(i,o,n,a)),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(t),t.strokeRect(i,o,n,a)),t.restore()}_paint_image(t,e){const{x:i,y:o,width:n,height:a}=e;t.save(),t.setImageSmoothingEnabled(!1),t.globalAlpha=this.model.scale_alpha,t.drawImage(this._image,i,o,n,a),this.visuals.bar_line.doit&&(this.visuals.bar_line.set_value(t),t.strokeRect(i,o,n,a)),t.restore()}serializable_state(){const t=super.serializable_state(),{children:e=[]}=t,i=(0,a.__rest)(t,[\"children\"]);return null!=this._title_view&&e.push(this._title_view.serializable_state()),e.push(this._axis_view.serializable_state()),Object.assign(Object.assign({},i),{children:e})}}i.ColorBarView=O,O.__name__=\"ColorBarView\";class R extends s.Annotation{constructor(t){super(t)}}i.ColorBar=R,r=R,R.__name__=\"ColorBar\",r.prototype.default_view=O,r.mixins([[\"major_label_\",k.Text],[\"title_\",k.Text],[\"major_tick_\",k.Line],[\"minor_tick_\",k.Line],[\"border_\",k.Line],[\"bar_\",k.Line],[\"background_\",k.Fill]]),r.define((({Alpha:t,Number:e,String:i,Tuple:o,Dict:n,Or:a,Ref:r,Auto:s,Nullable:l})=>({location:[a(y.Anchor,o(e,e)),\"top_right\"],orientation:[a(y.Orientation,s),\"auto\"],title:[l(i),null],title_standoff:[e,2],width:[a(e,s),\"auto\"],height:[a(e,s),\"auto\"],scale_alpha:[t,1],ticker:[a(r(h.Ticker),s),\"auto\"],formatter:[a(r(p.TickFormatter),s),\"auto\"],major_label_overrides:[n(a(i,r(x.BaseText))),{}],major_label_policy:[r(g.LabelingPolicy),()=>new g.NoOverlap],color_mapper:[r(d.ColorMapper)],label_standoff:[e,5],margin:[e,30],padding:[e,10],major_tick_in:[e,5],major_tick_out:[e,0],minor_tick_in:[e,0],minor_tick_out:[e,0]}))),r.override({background_fill_color:\"#ffffff\",background_fill_alpha:.95,bar_line_color:null,border_line_color:null,major_label_text_font_size:\"11px\",major_tick_line_color:\"#ffffff\",minor_tick_line_color:null,title_text_font_size:\"13px\",title_text_font_style:\"italic\"})},\n function _(t,e,i,s,l){s();const o=t(1);var a;const n=t(119),r=t(20),c=t(120),h=(0,o.__importStar)(t(48));class _ extends n.TextAnnotationView{_get_location(){const t=this.model.offset,e=this.model.standoff/2;let i,s;const{bbox:l}=this.layout;switch(this.panel.side){case\"above\":case\"below\":switch(this.model.vertical_align){case\"top\":s=l.top+e;break;case\"middle\":s=l.vcenter;break;case\"bottom\":s=l.bottom-e}switch(this.model.align){case\"left\":i=l.left+t;break;case\"center\":i=l.hcenter;break;case\"right\":i=l.right-t}break;case\"left\":switch(this.model.vertical_align){case\"top\":i=l.left+e;break;case\"middle\":i=l.hcenter;break;case\"bottom\":i=l.right-e}switch(this.model.align){case\"left\":s=l.bottom-t;break;case\"center\":s=l.vcenter;break;case\"right\":s=l.top+t}break;case\"right\":switch(this.model.vertical_align){case\"top\":i=l.right-e;break;case\"middle\":i=l.hcenter;break;case\"bottom\":i=l.left+e}switch(this.model.align){case\"left\":s=l.top+t;break;case\"center\":s=l.vcenter;break;case\"right\":s=l.bottom-t}}return[i,s]}_render(){const{text:t}=this.model;if(null==t||0==t.length)return;this.model.text_baseline=this.model.vertical_align,this.model.text_align=this.model.align;const[e,i]=this._get_location(),s=this.panel.get_label_angle_heuristic(\"parallel\");(\"canvas\"==this.model.render_mode?this._canvas_text.bind(this):this._css_text.bind(this))(this.layer.ctx,t,e,i,s)}_get_size(){const{text:t}=this.model,e=new c.TextBox({text:t});e.visuals=this.visuals.text.values();const{width:i,height:s}=e.size();return{width:i,height:0==s?0:2+s+this.model.standoff}}}i.TitleView=_,_.__name__=\"TitleView\";class d extends n.TextAnnotation{constructor(t){super(t)}}i.Title=d,a=d,d.__name__=\"Title\",a.prototype.default_view=_,a.mixins([h.Text,[\"border_\",h.Line],[\"background_\",h.Fill]]),a.define((({Number:t,String:e})=>({text:[e,\"\"],vertical_align:[r.VerticalAlign,\"bottom\"],align:[r.TextAlign,\"left\"],offset:[t,0],standoff:[t,10]}))),a.prototype._props.text_align.options.internal=!0,a.prototype._props.text_baseline.options.internal=!0,a.override({text_font_size:\"13px\",text_font_style:\"bold\",text_line_height:1,background_fill_color:null,border_line_color:null})},\n function _(e,t,s,i,l){var n;i();const o=e(40),a=e(43),r=e(20),d=e(120),u=e(123),c=e(11);class h extends o.AnnotationView{update_layout(){const{panel:e}=this;this.layout=null!=e?new u.SideLayout(e,(()=>this.get_size()),!0):void 0}initialize(){super.initialize(),\"css\"==this.model.render_mode&&(this.el=(0,a.div)(),this.plot_view.canvas_view.add_overlay(this.el))}remove(){null!=this.el&&(0,a.remove)(this.el),super.remove()}connect_signals(){super.connect_signals(),\"css\"==this.model.render_mode?this.connect(this.model.change,(()=>this.render())):this.connect(this.model.change,(()=>this.request_render()))}render(){this.model.visible||\"css\"!=this.model.render_mode||(0,a.undisplay)(this.el),super.render()}_canvas_text(e,t,s,i,l){const n=new d.TextBox({text:t});n.angle=l,n.position={sx:s,sy:i},n.visuals=this.visuals.text.values();const{background_fill:o,border_line:a}=this.visuals;if(o.doit||a.doit){const{p0:t,p1:s,p2:i,p3:l}=n.rect();e.beginPath(),e.moveTo(t.x,t.y),e.lineTo(s.x,s.y),e.lineTo(i.x,i.y),e.lineTo(l.x,l.y),e.closePath(),this.visuals.background_fill.apply(e),this.visuals.border_line.apply(e)}this.visuals.text.doit&&n.paint(e)}_css_text(e,t,s,i,l){const{el:n}=this;(0,c.assert)(null!=n),(0,a.undisplay)(n),n.textContent=t,this.visuals.text.set_value(e),n.style.position=\"absolute\",n.style.left=`${s}px`,n.style.top=`${i}px`,n.style.color=e.fillStyle,n.style.font=e.font,n.style.lineHeight=\"normal\",n.style.whiteSpace=\"pre\";const[o,r]=(()=>{switch(this.visuals.text.text_align.get_value()){case\"left\":return[\"left\",\"0%\"];case\"center\":return[\"center\",\"-50%\"];case\"right\":return[\"right\",\"-100%\"]}})(),[d,u]=(()=>{switch(this.visuals.text.text_baseline.get_value()){case\"top\":return[\"top\",\"0%\"];case\"middle\":return[\"center\",\"-50%\"];case\"bottom\":return[\"bottom\",\"-100%\"];default:return[\"center\",\"-50%\"]}})();let h=`translate(${r}, ${u})`;l&&(h+=`rotate(${l}rad)`),n.style.transformOrigin=`${o} ${d}`,n.style.transform=h,this.layout,this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(e),n.style.backgroundColor=e.fillStyle),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(e),n.style.borderStyle=e.lineDash.length<2?\"solid\":\"dashed\",n.style.borderWidth=`${e.lineWidth}px`,n.style.borderColor=e.strokeStyle),(0,a.display)(n)}}s.TextAnnotationView=h,h.__name__=\"TextAnnotationView\";class _ extends o.Annotation{constructor(e){super(e)}}s.TextAnnotation=_,n=_,_.__name__=\"TextAnnotation\",n.define((()=>({render_mode:[r.RenderMode,\"canvas\"]})))},\n function _(t,e,s,i,n){i();const h=t(65),o=t(121),r=t(9),a=t(8),c=t(122),_=t(22);s.text_width=(()=>{const t=document.createElement(\"canvas\").getContext(\"2d\");let e=\"\";return(s,i)=>(i!=e&&(e=i,t.font=i),t.measureText(s).width)})();class l{constructor(){this._position={sx:0,sy:0},this.font_size_scale=1,this.align=\"left\",this._base_font_size=13,this._x_anchor=\"left\",this._y_anchor=\"center\"}set base_font_size(t){null!=t&&(this._base_font_size=t)}get base_font_size(){return this._base_font_size}set position(t){this._position=t}get position(){return this._position}infer_text_height(){return\"ascent_descent\"}bbox(){const{p0:t,p1:e,p2:s,p3:i}=this.rect(),n=Math.min(t.x,e.x,s.x,i.x),o=Math.min(t.y,e.y,s.y,i.y),r=Math.max(t.x,e.x,s.x,i.x),a=Math.max(t.y,e.y,s.y,i.y);return new h.BBox({left:n,right:r,top:o,bottom:a})}size(){const{width:t,height:e}=this._size(),{angle:s}=this;if(s){const i=Math.cos(Math.abs(s)),n=Math.sin(Math.abs(s));return{width:Math.abs(t*i+e*n),height:Math.abs(t*n+e*i)}}return{width:t,height:e}}rect(){const t=this._rect(),{angle:e}=this;if(e){const{sx:s,sy:i}=this.position,n=new c.AffineTransform;return n.translate(s,i),n.rotate(e),n.translate(-s,-i),n.apply_rect(t)}return t}paint_rect(t){const{p0:e,p1:s,p2:i,p3:n}=this.rect();t.save(),t.strokeStyle=\"red\",t.lineWidth=1,t.beginPath();const{round:h}=Math;t.moveTo(h(e.x),h(e.y)),t.lineTo(h(s.x),h(s.y)),t.lineTo(h(i.x),h(i.y)),t.lineTo(h(n.x),h(n.y)),t.closePath(),t.stroke(),t.restore()}paint_bbox(t){const{x:e,y:s,width:i,height:n}=this.bbox();t.save(),t.strokeStyle=\"blue\",t.lineWidth=1,t.beginPath();const{round:h}=Math;t.moveTo(h(e),h(s)),t.lineTo(h(e),h(s+n)),t.lineTo(h(e+i),h(s+n)),t.lineTo(h(e+i),h(s)),t.closePath(),t.stroke(),t.restore()}}s.GraphicsBox=l,l.__name__=\"GraphicsBox\";class x extends l{constructor({text:t}){super(),this.text=t}set visuals(t){const e=t.color,s=t.alpha,i=t.font_style;let n=t.font_size;const h=t.font,{font_size_scale:r,base_font_size:a}=this,c=(0,o.parse_css_font_size)(n);if(null!=c){let{value:t,unit:e}=c;t*=r,\"em\"==e&&a&&(t*=a,e=\"px\"),n=`${t}${e}`}const l=`${i} ${n} ${h}`;this.font=l,this.color=(0,_.color2css)(e,s),this.line_height=t.line_height;const x=t.align;this._x_anchor=x;const u=t.baseline;this._y_anchor=(()=>{switch(u){case\"top\":return\"top\";case\"middle\":return\"center\";case\"bottom\":return\"bottom\";default:return\"baseline\"}})()}infer_text_height(){if(this.text.includes(\"\\n\"))return\"ascent_descent\";{function t(t){for(const e of new Set(t))if(!(\"0\"<=e&&e<=\"9\"))switch(e){case\",\":case\".\":case\"+\":case\"-\":case\"\\u2212\":case\"e\":continue;default:return!1}return!0}return t(this.text)?\"cap\":\"ascent_descent\"}}_text_line(t){var e;const s=null!==(e=this.text_height_metric)&&void 0!==e?e:this.infer_text_height(),i=(()=>{switch(s){case\"x\":case\"x_descent\":return t.x_height;case\"cap\":case\"cap_descent\":return t.cap_height;case\"ascent\":case\"ascent_descent\":return t.ascent}})(),n=(()=>{switch(s){case\"x\":case\"cap\":case\"ascent\":return 0;case\"x_descent\":case\"cap_descent\":case\"ascent_descent\":return t.descent}})();return{height:i+n,ascent:i,descent:n}}get nlines(){return this.text.split(\"\\n\").length}_size(){var t,e;const{font:i}=this,n=(0,o.font_metrics)(i),h=(this.line_height-1)*n.height,a=\"\"==this.text,c=this.text.split(\"\\n\"),_=c.length,l=c.map((t=>(0,s.text_width)(t,i))),x=this._text_line(n).height*_,u=\"%\"==(null===(t=this.width)||void 0===t?void 0:t.unit)?this.width.value:1,p=\"%\"==(null===(e=this.height)||void 0===e?void 0:e.unit)?this.height.value:1;return{width:(0,r.max)(l)*u,height:a?0:(x+h*(_-1))*p,metrics:n}}_computed_position(t,e,s){const{width:i,height:n}=t,{sx:h,sy:o,x_anchor:r=this._x_anchor,y_anchor:c=this._y_anchor}=this.position;return{x:h-(()=>{if((0,a.isNumber)(r))return r*i;switch(r){case\"left\":return 0;case\"center\":return.5*i;case\"right\":return i}})(),y:o-(()=>{var t;if((0,a.isNumber)(c))return c*n;switch(c){case\"top\":return 0;case\"center\":return.5*n;case\"bottom\":return n;case\"baseline\":if(1!=s)return.5*n;switch(null!==(t=this.text_height_metric)&&void 0!==t?t:this.infer_text_height()){case\"x\":case\"x_descent\":return e.x_height;case\"cap\":case\"cap_descent\":return e.cap_height;case\"ascent\":case\"ascent_descent\":return e.ascent}}})()}}_rect(){const{width:t,height:e,metrics:s}=this._size(),i=this.text.split(\"\\n\").length,{x:n,y:o}=this._computed_position({width:t,height:e},s,i);return new h.BBox({x:n,y:o,width:t,height:e}).rect}paint(t){var e,i;const{font:n}=this,h=(0,o.font_metrics)(n),a=(this.line_height-1)*h.height,c=this.text.split(\"\\n\"),_=c.length,l=c.map((t=>(0,s.text_width)(t,n))),x=this._text_line(h),u=x.height*_,p=\"%\"==(null===(e=this.width)||void 0===e?void 0:e.unit)?this.width.value:1,f=\"%\"==(null===(i=this.height)||void 0===i?void 0:i.unit)?this.height.value:1,g=(0,r.max)(l)*p,d=(u+a*(_-1))*f;t.save(),t.fillStyle=this.color,t.font=this.font,t.textAlign=\"left\",t.textBaseline=\"alphabetic\";const{sx:b,sy:m}=this.position,{align:y}=this,{angle:w}=this;w&&(t.translate(b,m),t.rotate(w),t.translate(-b,-m));let{x:v,y:z}=this._computed_position({width:g,height:d},h,_);if(\"justify\"==y)for(let e=0;e<_;e++){let i=v;const h=c[e].split(\" \"),o=h.length,_=h.map((t=>(0,s.text_width)(t,n))),l=(g-(0,r.sum)(_))/(o-1);for(let e=0;e{switch(y){case\"left\":return 0;case\"center\":return.5*(g-l[e]);case\"right\":return g-l[e]}})();t.fillStyle=this.color,t.fillText(c[e],s,z+x.ascent),z+=x.height+a}t.restore()}}s.TextBox=x,x.__name__=\"TextBox\";class u extends l{constructor(t,e){super(),this.base=t,this.expo=e}get children(){return[this.base,this.expo]}set base_font_size(t){super.base_font_size=t,this.base.base_font_size=t,this.expo.base_font_size=t}set position(t){this._position=t;const e=this.base.size(),s=this.expo.size(),i=this._shift_scale()*e.height,n=Math.max(e.height,i+s.height);this.base.position={sx:0,x_anchor:\"left\",sy:n,y_anchor:\"bottom\"},this.expo.position={sx:e.width,x_anchor:\"left\",sy:i,y_anchor:\"bottom\"}}get position(){return this._position}set visuals(t){this.expo.font_size_scale=.7,this.base.visuals=t,this.expo.visuals=t}_shift_scale(){if(this.base instanceof x&&1==this.base.nlines){const{x_height:t,cap_height:e}=(0,o.font_metrics)(this.base.font);return t/e}return 2/3}infer_text_height(){return this.base.infer_text_height()}_rect(){const t=this.base.bbox(),e=this.expo.bbox(),s=t.union(e),{x:i,y:n}=this._computed_position();return s.translate(i,n).rect}_size(){const t=this.base.size(),e=this.expo.size();return{width:t.width+e.width,height:Math.max(t.height,this._shift_scale()*t.height+e.height)}}paint(t){t.save();const{angle:e}=this;if(e){const{sx:s,sy:i}=this.position;t.translate(s,i),t.rotate(e),t.translate(-s,-i)}const{x:s,y:i}=this._computed_position();t.translate(s,i),this.base.paint(t),this.expo.paint(t),t.restore()}paint_bbox(t){super.paint_bbox(t);const{x:e,y:s}=this._computed_position();t.save(),t.translate(e,s);for(const e of this.children)e.paint_bbox(t);t.restore()}_computed_position(){const{width:t,height:e}=this._size(),{sx:s,sy:i,x_anchor:n=this._x_anchor,y_anchor:h=this._y_anchor}=this.position;return{x:s-(()=>{if((0,a.isNumber)(n))return n*t;switch(n){case\"left\":return 0;case\"center\":return.5*t;case\"right\":return t}})(),y:i-(()=>{if((0,a.isNumber)(h))return h*e;switch(h){case\"top\":return 0;case\"center\":return.5*e;case\"bottom\":return e;case\"baseline\":return.5*e}})()}}}s.BaseExpo=u,u.__name__=\"BaseExpo\";class p{constructor(t){this.items=t}set base_font_size(t){for(const e of this.items)e.base_font_size=t}get length(){return this.items.length}set visuals(t){for(const e of this.items)e.visuals=t;const e={x:0,cap:1,ascent:2,x_descent:3,cap_descent:4,ascent_descent:5},s=(0,r.max_by)(this.items.map((t=>t.infer_text_height())),(t=>e[t]));for(const t of this.items)t.text_height_metric=s}set angle(t){for(const e of this.items)e.angle=t}max_size(){let t=0,e=0;for(const s of this.items){const i=s.size();t=Math.max(t,i.width),e=Math.max(e,i.height)}return{width:t,height:e}}}s.GraphicsBoxes=p,p.__name__=\"GraphicsBoxes\"},\n function _(t,e,n,r,l){r();const a=t(11),c=(()=>{try{return\"undefined\"!=typeof OffscreenCanvas&&null!=new OffscreenCanvas(0,0).getContext(\"2d\")}catch(t){return!1}})()?(t,e)=>new OffscreenCanvas(t,e):(t,e)=>{const n=document.createElement(\"canvas\");return n.width=t,n.height=e,n},o=(()=>{const t=c(0,0).getContext(\"2d\");return e=>{t.font=e;const n=t.measureText(\"M\"),r=t.measureText(\"x\"),l=t.measureText(\"\\xc5\\u015ag|\"),c=l.fontBoundingBoxAscent,o=l.fontBoundingBoxDescent;if(null!=c&&null!=o)return{height:c+o,ascent:c,descent:o,cap_height:n.actualBoundingBoxAscent,x_height:r.actualBoundingBoxAscent};const s=l.actualBoundingBoxAscent,u=l.actualBoundingBoxDescent;if(null!=s&&null!=u)return{height:s+u,ascent:s,descent:u,cap_height:n.actualBoundingBoxAscent,x_height:r.actualBoundingBoxAscent};(0,a.unreachable)()}})(),s=(()=>{const t=c(0,0).getContext(\"2d\");return(e,n)=>{t.font=n;const r=t.measureText(e),l=r.actualBoundingBoxAscent,c=r.actualBoundingBoxDescent;if(null!=l&&null!=c)return{width:r.width,height:l+c,ascent:l,descent:c};(0,a.unreachable)()}})(),u=(()=>{const t=document.createElement(\"canvas\"),e=t.getContext(\"2d\");let n=-1,r=-1;return(l,a=1)=>{e.font=l;const{width:c}=e.measureText(\"M\"),o=c*a,s=Math.ceil(o),u=Math.ceil(2*o),i=Math.ceil(1.5*o);n{let e=0;for(let n=0;n<=i;n++)for(let r=0;r{let e=t.length-4;for(let n=u;n>=i;n--)for(let r=0;r{const t=document.createElement(\"canvas\"),e=t.getContext(\"2d\");let n=-1,r=-1;return(l,a,c=1)=>{e.font=a;const{width:o}=e.measureText(\"M\"),s=o*c,u=Math.ceil(s),i=Math.ceil(2*s),f=Math.ceil(1.5*s);(n{let e=0;for(let n=0;n<=f;n++)for(let r=0;r{let e=t.length-4;for(let n=i;n>=f;n--)for(let r=0;r{try{return o(\"normal 10px sans-serif\"),o}catch(t){return u}})(),h=(()=>{try{return s(\"A\",\"normal 10px sans-serif\"),s}catch(t){return i}})(),g=new Map;function d(t){let e=g.get(t);return null==e&&(e={font:f(t),glyphs:new Map},g.set(t,e)),e.font}n.font_metrics=d,n.glyph_metrics=function(t,e){let n=g.get(e);null==n&&(d(e),n=g.get(e));let r=n.glyphs.get(t);return null==r&&(r=h(t,e),n.glyphs.set(t,r)),r},n.parse_css_font_size=function(t){const e=t.match(/^\\s*(\\d+(\\.\\d+)?)(\\w+)\\s*$/);if(null!=e){const[,t,,n]=e,r=Number(t);if(isFinite(r))return{value:r,unit:n}}return null}},\n function _(t,s,r,n,i){n();const{sin:e,cos:a}=Math;class h{constructor(t=1,s=0,r=0,n=1,i=0,e=0){this.a=t,this.b=s,this.c=r,this.d=n,this.e=i,this.f=e}toString(){const{a:t,b:s,c:r,d:n,e:i,f:e}=this;return`matrix(${t}, ${s}, ${r}, ${n}, ${i}, ${e})`}static from_DOMMatrix(t){const{a:s,b:r,c:n,d:i,e,f:a}=t;return new h(s,r,n,i,e,a)}to_DOMMatrix(){const{a:t,b:s,c:r,d:n,e:i,f:e}=this;return new DOMMatrix([t,s,r,n,i,e])}clone(){const{a:t,b:s,c:r,d:n,e:i,f:e}=this;return new h(t,s,r,n,i,e)}get is_identity(){const{a:t,b:s,c:r,d:n,e:i,f:e}=this;return 1==t&&0==s&&0==r&&1==n&&0==i&&0==e}apply_point(t){const[s,r]=this.apply(t.x,t.y);return{x:s,y:r}}apply_rect(t){return{p0:this.apply_point(t.p0),p1:this.apply_point(t.p1),p2:this.apply_point(t.p2),p3:this.apply_point(t.p3)}}apply(t,s){const{a:r,b:n,c:i,d:e,e:a,f:h}=this;return[r*t+i*s+a,n*t+e*s+h]}iv_apply(t,s){const{a:r,b:n,c:i,d:e,e:a,f:h}=this,c=t.length;for(let o=0;o{const h={max:4,fit:3,min:2,fixed:1};return h[i]>h[t]};if(\"fixed\"!=n&&\"fixed\"!=s)if(n==s){const n=t,s=_(t/e),r=_(h*e),g=h;Math.abs(i.width-n)+Math.abs(i.height-s)<=Math.abs(i.width-r)+Math.abs(i.height-g)?(t=n,h=s):(t=r,h=g)}else r(n,s)?h=_(t/e):t=_(h*e);else\"fixed\"==n?h=_(t/e):\"fixed\"==s&&(t=_(h*e))}return{width:t,height:h}}measure(i){if(!this.sizing.visible)return{width:0,height:0};const t=i=>\"fixed\"==this.sizing.width_policy&&null!=this.sizing.width?this.sizing.width:i,h=i=>\"fixed\"==this.sizing.height_policy&&null!=this.sizing.height?this.sizing.height:i,e=new s.Sizeable(i).shrink_by(this.sizing.margin).map(t,h),n=this._measure(e),r=this.clip_size(n,e),g=t(r.width),l=h(r.height),a=this.apply_aspect(e,{width:g,height:l});return Object.assign(Object.assign({},n),a)}compute(i={}){const t=this.measure({width:null!=i.width&&this.is_width_expanding()?i.width:1/0,height:null!=i.height&&this.is_height_expanding()?i.height:1/0}),{width:h,height:e}=t,n=new r.BBox({left:0,top:0,width:h,height:e});let s;if(null!=t.inner){const{left:i,top:n,right:g,bottom:l}=t.inner;s=new r.BBox({left:i,top:n,right:h-g,bottom:e-l})}this.set_geometry(n,s)}get xview(){return this.bbox.xview}get yview(){return this.bbox.yview}clip_size(i,t){function h(i,t,h,e){return null==h?h=0:(0,g.isNumber)(h)||(h=Math.round(h.percent*t)),null==e?e=1/0:(0,g.isNumber)(e)||(e=Math.round(e.percent*t)),a(h,l(i,e))}return{width:h(i.width,t.width,this.sizing.min_width,this.sizing.max_width),height:h(i.height,t.height,this.sizing.min_height,this.sizing.max_height)}}has_size_changed(){const{_dirty:i}=this;return this._dirty=!1,i}}h.Layoutable=o,o.__name__=\"Layoutable\";class d extends o{_measure(i){const{width_policy:t,height_policy:h}=this.sizing;return{width:(()=>{const{width:h}=this.sizing;if(i.width==1/0)return null!=h?h:0;switch(t){case\"fixed\":return null!=h?h:0;case\"min\":return null!=h?l(i.width,h):0;case\"fit\":return null!=h?l(i.width,h):i.width;case\"max\":return null!=h?a(i.width,h):i.width}})(),height:(()=>{const{height:t}=this.sizing;if(i.height==1/0)return null!=t?t:0;switch(h){case\"fixed\":return null!=t?t:0;case\"min\":return null!=t?l(i.height,t):0;case\"fit\":return null!=t?l(i.height,t):i.height;case\"max\":return null!=t?a(i.height,t):i.height}})()}}}h.LayoutItem=d,d.__name__=\"LayoutItem\";class u extends o{_measure(i){const t=this._content_size(),h=i.bounded_to(this.sizing.size).bounded_to(t);return{width:(()=>{switch(this.sizing.width_policy){case\"fixed\":return null!=this.sizing.width?this.sizing.width:t.width;case\"min\":return t.width;case\"fit\":return h.width;case\"max\":return Math.max(t.width,h.width)}})(),height:(()=>{switch(this.sizing.height_policy){case\"fixed\":return null!=this.sizing.height?this.sizing.height:t.height;case\"min\":return t.height;case\"fit\":return h.height;case\"max\":return Math.max(t.height,h.height)}})()}}}h.ContentLayoutable=u,u.__name__=\"ContentLayoutable\"},\n function _(e,t,s,a,_){a();const r=e(62),n=e(61),g=e(58),i=e(63),c=e(67),h=e(65),l=e(13),o=e(11);class x{constructor(e,t,s,a,_={},r={},n={},g={}){this.in_x_scale=e,this.in_y_scale=t,this.x_range=s,this.y_range=a,this.extra_x_ranges=_,this.extra_y_ranges=r,this.extra_x_scales=n,this.extra_y_scales=g,this._bbox=new h.BBox,(0,o.assert)(null==e.source_range&&null==e.target_range),(0,o.assert)(null==t.source_range&&null==t.target_range),this._configure_scales()}get bbox(){return this._bbox}_get_ranges(e,t){return new Map((0,l.entries)(Object.assign(Object.assign({},t),{default:e})))}_get_scales(e,t,s,a){var _;const g=new Map((0,l.entries)(Object.assign(Object.assign({},t),{default:e}))),h=new Map;for(const[t,l]of s){if(l instanceof c.FactorRange!=e instanceof r.CategoricalScale)throw new Error(`Range ${l.type} is incompatible is Scale ${e.type}`);e instanceof n.LogScale&&l instanceof i.DataRange1d&&(l.scale_hint=\"log\");const s=(null!==(_=g.get(t))&&void 0!==_?_:e).clone();s.setv({source_range:l,target_range:a}),h.set(t,s)}return h}_configure_frame_ranges(){const{bbox:e}=this;this._x_target=new g.Range1d({start:e.left,end:e.right}),this._y_target=new g.Range1d({start:e.bottom,end:e.top})}_configure_scales(){this._configure_frame_ranges(),this._x_ranges=this._get_ranges(this.x_range,this.extra_x_ranges),this._y_ranges=this._get_ranges(this.y_range,this.extra_y_ranges),this._x_scales=this._get_scales(this.in_x_scale,this.extra_x_scales,this._x_ranges,this._x_target),this._y_scales=this._get_scales(this.in_y_scale,this.extra_y_scales,this._y_ranges,this._y_target)}_update_scales(){this._configure_frame_ranges();for(const[,e]of this._x_scales)e.target_range=this._x_target;for(const[,e]of this._y_scales)e.target_range=this._y_target}set_geometry(e){this._bbox=e,this._update_scales()}get x_target(){return this._x_target}get y_target(){return this._y_target}get x_ranges(){return this._x_ranges}get y_ranges(){return this._y_ranges}get x_scales(){return this._x_scales}get y_scales(){return this._y_scales}get x_scale(){return this._x_scales.get(\"default\")}get y_scale(){return this._y_scales.get(\"default\")}get xscales(){return(0,l.to_object)(this.x_scales)}get yscales(){return(0,l.to_object)(this.y_scales)}}s.CartesianFrame=x,x.__name__=\"CartesianFrame\"},\n function _(i,s,x,A,o){A(),o(\"Axis\",i(128).Axis),o(\"CategoricalAxis\",i(140).CategoricalAxis),o(\"ContinuousAxis\",i(143).ContinuousAxis),o(\"DatetimeAxis\",i(144).DatetimeAxis),o(\"LinearAxis\",i(145).LinearAxis),o(\"LogAxis\",i(162).LogAxis),o(\"MercatorAxis\",i(165).MercatorAxis)},\n function _(t,e,i,s,a){s();const o=t(1);var l;const n=t(129),_=t(130),r=t(131),h=t(132),c=(0,o.__importStar)(t(48)),b=t(20),u=t(24),m=t(123),d=t(9),x=t(13),f=t(8),g=t(120),p=t(67),v=t(133),w=t(113),j=t(11),k=t(8),y=t(134),{abs:z}=Math;class M extends n.GuideRendererView{constructor(){super(...arguments),this._axis_label_view=null,this._major_label_views=new Map}async lazy_initialize(){await super.lazy_initialize(),await this._init_axis_label(),await this._init_major_labels()}async _init_axis_label(){const{axis_label:t}=this.model;if(null!=t){const e=(0,k.isString)(t)?(0,y.parse_delimited_string)(t):t;this._axis_label_view=await(0,w.build_view)(e,{parent:this})}else this._axis_label_view=null}async _init_major_labels(){const{major_label_overrides:t}=this.model;for(const[e,i]of(0,x.entries)(t)){const t=(0,k.isString)(i)?(0,y.parse_delimited_string)(i):i;this._major_label_views.set(e,await(0,w.build_view)(t,{parent:this}))}}update_layout(){this.layout=new m.SideLayout(this.panel,(()=>this.get_size()),!0),this.layout.on_resize((()=>this._coordinates=void 0))}get_size(){const{visible:t,fixed_location:e}=this.model;if(t&&null==e&&this.is_renderable){const{extents:t}=this;return{width:0,height:Math.round(t.tick+t.tick_label+t.axis_label)}}return{width:0,height:0}}get is_renderable(){const[t,e]=this.ranges;return t.is_valid&&e.is_valid}_render(){var t;if(!this.is_renderable)return;const{tick_coords:e,extents:i}=this,s=this.layer.ctx;s.save(),this._draw_rule(s,i),this._draw_major_ticks(s,i,e),this._draw_minor_ticks(s,i,e),this._draw_major_labels(s,i,e),this._draw_axis_label(s,i,e),null===(t=this._paint)||void 0===t||t.call(this,s,i,e),s.restore()}connect_signals(){super.connect_signals();const{axis_label:t,major_label_overrides:e}=this.model.properties;this.on_change(t,(async()=>{var t;null===(t=this._axis_label_view)||void 0===t||t.remove(),await this._init_axis_label()})),this.on_change(e,(async()=>{for(const t of this._major_label_views.values())t.remove();await this._init_major_labels()})),this.connect(this.model.change,(()=>this.plot_view.request_layout()))}get needs_clip(){return null!=this.model.fixed_location}_draw_rule(t,e){if(!this.visuals.axis_line.doit)return;const[i,s]=this.rule_coords,[a,o]=this.coordinates.map_to_screen(i,s),[l,n]=this.normals,[_,r]=this.offsets;this.visuals.axis_line.set_value(t),t.beginPath();for(let e=0;e0?s+i+3:0}_draw_axis_label(t,e,i){if(null==this._axis_label_view||null!=this.model.fixed_location)return;const[s,a]=(()=>{const{bbox:t}=this.layout;switch(this.panel.side){case\"above\":return[t.hcenter,t.bottom];case\"below\":return[t.hcenter,t.top];case\"left\":return[t.right,t.vcenter];case\"right\":return[t.left,t.vcenter]}})(),[o,l]=this.normals,n=e.tick+e.tick_label+this.model.axis_label_standoff,{vertical_align:_,align:r}=this.panel.get_label_text_heuristics(\"parallel\"),h={sx:s+o*n,sy:a+l*n,x_anchor:r,y_anchor:_},c=this._axis_label_view.graphics();c.visuals=this.visuals.axis_label_text.values(),c.angle=this.panel.get_label_angle_heuristic(\"parallel\"),this.plot_view.base_font_size&&(c.base_font_size=this.plot_view.base_font_size),c.position=h,c.align=r,c.paint(t)}_draw_ticks(t,e,i,s,a){if(!a.doit)return;const[o,l]=e,[n,_]=this.coordinates.map_to_screen(o,l),[r,h]=this.normals,[c,b]=this.offsets,[u,m]=[r*(c-i),h*(b-i)],[d,x]=[r*(c+s),h*(b+s)];a.set_value(t),t.beginPath();for(let e=0;et.bbox())),M=(()=>{const[t]=this.ranges;return t.is_reversed?0==this.dimension?(t,e)=>z[t].left-z[e].right:(t,e)=>z[e].top-z[t].bottom:0==this.dimension?(t,e)=>z[e].left-z[t].right:(t,e)=>z[t].top-z[e].bottom})(),{major_label_policy:O}=this.model,T=O.filter(k,z,M),A=[...T.ones()];if(0!=A.length){const t=this.parent.canvas_view.bbox,e=e=>{const i=z[e];if(i.left<0){const t=-i.left,{position:s}=y[e];y[e].position=Object.assign(Object.assign({},s),{sx:s.sx+t})}else if(i.right>t.width){const s=i.right-t.width,{position:a}=y[e];y[e].position=Object.assign(Object.assign({},a),{sx:a.sx-s})}},i=e=>{const i=z[e];if(i.top<0){const t=-i.top,{position:s}=y[e];y[e].position=Object.assign(Object.assign({},s),{sy:s.sy+t})}else if(i.bottom>t.height){const s=i.bottom-t.height,{position:a}=y[e];y[e].position=Object.assign(Object.assign({},a),{sy:a.sy-s})}},s=A[0],a=A[A.length-1];0==this.dimension?(e(s),e(a)):(i(s),i(a))}for(const e of T){y[e].paint(t)}}_tick_extent(){return this.model.major_tick_out}_tick_label_extents(){const t=this.tick_coords.major,e=this.compute_labels(t[this.dimension]),i=this.model.major_label_orientation,s=this.model.major_label_standoff,a=this.visuals.major_label_text;return[this._oriented_labels_extent(e,i,s,a)]}get extents(){const t=this._tick_label_extents();return{tick:this._tick_extent(),tick_labels:t,tick_label:(0,d.sum)(t),axis_label:this._axis_label_extent()}}_oriented_labels_extent(t,e,i,s){if(0==t.length||!s.doit)return 0;const a=this.panel.get_label_angle_heuristic(e);t.visuals=s.values(),t.angle=a,t.base_font_size=this.plot_view.base_font_size;const o=t.max_size(),l=0==this.dimension?o.height:o.width;return l>0?i+l+3:0}get normals(){return this.panel.normals}get dimension(){return this.panel.dimension}compute_labels(t){const e=this.model.formatter.format_graphics(t,this),{_major_label_views:i}=this,s=new Set;for(let a=0;az(l-n)?(t=r(_(a,o),l),s=_(r(a,o),n)):(t=_(a,o),s=r(a,o)),[t,s]}}get rule_coords(){const t=this.dimension,e=(t+1)%2,[i]=this.ranges,[s,a]=this.computed_bounds,o=[new Array(2),new Array(2)];return o[t][0]=Math.max(s,i.min),o[t][1]=Math.min(a,i.max),o[t][0]>o[t][1]&&(o[t][0]=o[t][1]=NaN),o[e][0]=this.loc,o[e][1]=this.loc,o}get tick_coords(){const t=this.dimension,e=(t+1)%2,[i]=this.ranges,[s,a]=this.computed_bounds,o=this.model.ticker.get_ticks(s,a,i,this.loc),l=o.major,n=o.minor,_=[[],[]],r=[[],[]],[h,c]=[i.min,i.max];for(let i=0;ic||(_[t].push(l[i]),_[e].push(this.loc));for(let i=0;ic||(r[t].push(n[i]),r[e].push(this.loc));return{major:_,minor:r}}get loc(){const{fixed_location:t}=this.model;if(null!=t){if((0,f.isNumber)(t))return t;const[,e]=this.ranges;if(e instanceof p.FactorRange)return e.synthetic(t);(0,j.unreachable)()}const[,e]=this.ranges;switch(this.panel.side){case\"left\":case\"below\":return e.start;case\"right\":case\"above\":return e.end}}serializable_state(){return Object.assign(Object.assign({},super.serializable_state()),{bbox:this.layout.bbox.box})}remove(){var t;null===(t=this._axis_label_view)||void 0===t||t.remove();for(const t of this._major_label_views.values())t.remove();super.remove()}has_finished(){if(!super.has_finished())return!1;if(null!=this._axis_label_view&&!this._axis_label_view.has_finished())return!1;for(const t of this._major_label_views.values())if(!t.has_finished())return!1;return!0}}i.AxisView=M,M.__name__=\"AxisView\";class O extends n.GuideRenderer{constructor(t){super(t)}}i.Axis=O,l=O,O.__name__=\"Axis\",l.prototype.default_view=M,l.mixins([[\"axis_\",c.Line],[\"major_tick_\",c.Line],[\"minor_tick_\",c.Line],[\"major_label_\",c.Text],[\"axis_label_\",c.Text]]),l.define((({Any:t,Int:e,Number:i,String:s,Ref:a,Dict:o,Tuple:l,Or:n,Nullable:c,Auto:u})=>({bounds:[n(l(i,i),u),\"auto\"],ticker:[a(_.Ticker)],formatter:[a(r.TickFormatter)],axis_label:[c(n(s,a(v.BaseText))),null],axis_label_standoff:[e,5],major_label_standoff:[e,5],major_label_orientation:[n(b.TickLabelOrientation,i),\"horizontal\"],major_label_overrides:[o(n(s,a(v.BaseText))),{}],major_label_policy:[a(h.LabelingPolicy),()=>new h.AllLabels],major_tick_in:[i,2],major_tick_out:[i,6],minor_tick_in:[i,0],minor_tick_out:[i,4],fixed_location:[c(n(i,t)),null]}))),l.override({axis_line_color:\"black\",major_tick_line_color:\"black\",minor_tick_line_color:\"black\",major_label_text_font_size:\"11px\",major_label_text_align:\"center\",major_label_text_baseline:\"alphabetic\",axis_label_text_font_size:\"13px\",axis_label_text_font_style:\"italic\"})},\n function _(e,r,d,n,i){var s;n();const _=e(41);class u extends _.RendererView{}d.GuideRendererView=u,u.__name__=\"GuideRendererView\";class c extends _.Renderer{constructor(e){super(e)}}d.GuideRenderer=c,s=c,c.__name__=\"GuideRenderer\",s.override({level:\"guide\"})},\n function _(c,e,n,s,o){s();const r=c(53);class t extends r.Model{constructor(c){super(c)}}n.Ticker=t,t.__name__=\"Ticker\"},\n function _(t,o,r,e,c){e();const n=t(53),a=t(120);class m extends n.Model{constructor(t){super(t)}format_graphics(t,o){return this.doFormat(t,o).map((t=>new a.TextBox({text:t})))}compute(t,o){return this.doFormat([t],null!=o?o:{loc:0})[0]}v_compute(t,o){return this.doFormat(t,null!=o?o:{loc:0})}}r.TickFormatter=m,m.__name__=\"TickFormatter\"},\n function _(e,n,s,t,i){var c,r;t();const l=e(53),o=e(13),a=e(34),u=e(8),d=e(24);class _ extends l.Model{constructor(e){super(e)}}s.LabelingPolicy=_,_.__name__=\"LabelingPolicy\";class f extends _{constructor(e){super(e)}filter(e,n,s){return e}}s.AllLabels=f,f.__name__=\"AllLabels\";class m extends _{constructor(e){super(e)}filter(e,n,s){const{min_distance:t}=this;let i=null;for(const n of e)null!=i&&s(i,n)({min_distance:[e,5]})));class b extends _{constructor(e){super(e)}get names(){return(0,o.keys)(this.args)}get values(){return(0,o.values)(this.args)}get func(){const e=(0,a.use_strict)(this.code);return new d.GeneratorFunction(\"indices\",\"bboxes\",\"distance\",...this.names,e)}filter(e,n,s){const t=Object.create(null),i=this.func.call(t,e,n,s,...this.values);let c=i.next();if(c.done&&void 0!==c.value){const{value:n}=c;return n instanceof d.Indices?n:void 0===n?e:(0,u.isIterable)(n)?d.Indices.from_indices(e.size,n):d.Indices.all_unset(e.size)}{const n=[];do{n.push(c.value),c=i.next()}while(!c.done);return d.Indices.from_indices(e.size,n)}}}s.CustomLabelingPolicy=b,r=b,b.__name__=\"CustomLabelingPolicy\",r.define((({Unknown:e,String:n,Dict:s})=>({args:[s(e),{}],code:[n,\"\"]})))},\n function _(e,s,t,n,a){var _;n();const x=e(53),c=e(42);class i extends c.View{}t.BaseTextView=i,i.__name__=\"BaseTextView\";class o extends x.Model{constructor(e){super(e)}}t.BaseText=o,_=o,o.__name__=\"BaseText\",_.define((({String:e})=>({text:[e]})))},\n function _(n,e,t,i,r){i();const s=n(135),l=n(139),d=[{start:\"$$\",end:\"$$\",inline:!1},{start:\"\\\\[\",end:\"\\\\]\",inline:!1},{start:\"\\\\(\",end:\"\\\\)\",inline:!0}];t.parse_delimited_string=function(n){for(const e of d){const t=n.indexOf(e.start),i=t+e.start.length;if(0==t){const t=n.indexOf(e.end,i),r=t;if(t==n.length-e.end.length)return new s.TeX({text:n.slice(i,r),inline:e.inline});break}}return new l.PlainText({text:n})}},\n function _(t,e,s,i,n){var o,r,a;i();const h=t(8),_=t(136),l=t(22),c=t(120),d=t(121),u=t(122),g=t(65),p=t(133),x=t(137);class m extends p.BaseTextView{constructor(){super(...arguments),this._position={sx:0,sy:0},this.align=\"left\",this._x_anchor=\"left\",this._y_anchor=\"center\",this._base_font_size=13,this.font_size_scale=1,this.svg_image=null}graphics(){return this}infer_text_height(){return\"ascent_descent\"}set base_font_size(t){null!=t&&(this._base_font_size=t)}get base_font_size(){return this._base_font_size}get has_image_loaded(){return null!=this.svg_image}_rect(){const{width:t,height:e}=this._size(),{x:s,y:i}=this._computed_position();return new g.BBox({x:s,y:i,width:t,height:e}).rect}set position(t){this._position=t}get position(){return this._position}get text(){return this.model.text}get provider(){return x.default_provider}async lazy_initialize(){await super.lazy_initialize(),\"not_started\"==this.provider.status&&await this.provider.fetch(),\"not_started\"!=this.provider.status&&\"loading\"!=this.provider.status||this.provider.ready.connect((()=>this.load_image())),\"loaded\"==this.provider.status&&await this.load_image()}connect_signals(){super.connect_signals(),this.on_change(this.model.properties.text,(()=>this.load_image()))}set visuals(t){const e=t.color,s=t.alpha,i=t.font_style;let n=t.font_size;const o=t.font,{font_size_scale:r,_base_font_size:a}=this,h=(0,d.parse_css_font_size)(n);if(null!=h){let{value:t,unit:e}=h;t*=r,\"em\"==e&&a&&(t*=a,e=\"px\"),n=`${t}${e}`}const _=`${i} ${n} ${o}`;this.font=_,this.color=(0,l.color2css)(e,s)}_computed_position(){const{width:t,height:e}=this._size(),{sx:s,sy:i,x_anchor:n=this._x_anchor,y_anchor:o=this._y_anchor}=this.position;return{x:s-(()=>{if((0,h.isNumber)(n))return n*t;switch(n){case\"left\":return 0;case\"center\":return.5*t;case\"right\":return t}})(),y:i-(()=>{if((0,h.isNumber)(o))return o*e;switch(o){case\"top\":return 0;case\"center\":return.5*e;case\"bottom\":return e;case\"baseline\":return.5*e}})()}}size(){const{width:t,height:e}=this._size(),{angle:s}=this;if(s){const i=Math.cos(Math.abs(s)),n=Math.sin(Math.abs(s));return{width:Math.abs(t*i+e*n),height:Math.abs(t*n+e*i)}}return{width:t,height:e}}get_text_dimensions(){return{width:(0,c.text_width)(this.model.text,this.font),height:(0,d.font_metrics)(this.font).height}}get_image_dimensions(){var t,e,s,i;const n=parseFloat(null!==(e=null===(t=this.svg_element.getAttribute(\"height\"))||void 0===t?void 0:t.replace(/([A-z])/g,\"\"))&&void 0!==e?e:\"0\"),o=parseFloat(null!==(i=null===(s=this.svg_element.getAttribute(\"width\"))||void 0===s?void 0:s.replace(/([A-z])/g,\"\"))&&void 0!==i?i:\"0\");return{width:(0,d.font_metrics)(this.font).x_height*o,height:(0,d.font_metrics)(this.font).x_height*n}}_size(){return this.has_image_loaded?this.get_image_dimensions():this.get_text_dimensions()}bbox(){const{p0:t,p1:e,p2:s,p3:i}=this.rect(),n=Math.min(t.x,e.x,s.x,i.x),o=Math.min(t.y,e.y,s.y,i.y),r=Math.max(t.x,e.x,s.x,i.x),a=Math.max(t.y,e.y,s.y,i.y);return new g.BBox({left:n,right:r,top:o,bottom:a})}rect(){const t=this._rect(),{angle:e}=this;if(e){const{sx:s,sy:i}=this.position,n=new u.AffineTransform;return n.translate(s,i),n.rotate(e),n.translate(-s,-i),n.apply_rect(t)}return t}paint_rect(t){const{p0:e,p1:s,p2:i,p3:n}=this.rect();t.save(),t.strokeStyle=\"red\",t.lineWidth=1,t.beginPath();const{round:o}=Math;t.moveTo(o(e.x),o(e.y)),t.lineTo(o(s.x),o(s.y)),t.lineTo(o(i.x),o(i.y)),t.lineTo(o(n.x),o(n.y)),t.closePath(),t.stroke(),t.restore()}paint_bbox(t){const{x:e,y:s,width:i,height:n}=this.bbox();t.save(),t.strokeStyle=\"blue\",t.lineWidth=1,t.beginPath();const{round:o}=Math;t.moveTo(o(e),o(s)),t.lineTo(o(e),o(s+n)),t.lineTo(o(e+i),o(s+n)),t.lineTo(o(e+i),o(s)),t.closePath(),t.stroke(),t.restore()}async load_image(){if(null==this.provider.MathJax)return null;const t=this._process_text(this.model.text);if(null==t)return this._has_finished=!0,null;const e=t.children[0];this.svg_element=e,e.setAttribute(\"font\",this.font),e.setAttribute(\"stroke\",this.color);const s=e.outerHTML,i=new Blob([s],{type:\"image/svg+xml\"}),n=URL.createObjectURL(i);try{this.svg_image=await(0,_.load_image)(n)}finally{URL.revokeObjectURL(n)}return this.parent.request_layout(),this.svg_image}paint(t){t.save();const{sx:e,sy:s}=this.position;this.angle&&(t.translate(e,s),t.rotate(this.angle),t.translate(-e,-s));const{x:i,y:n}=this._computed_position();if(null!=this.svg_image){const{width:e,height:s}=this.get_image_dimensions();t.drawImage(this.svg_image,i,n,e,s)}else t.fillStyle=this.color,t.font=this.font,t.textAlign=\"left\",t.textBaseline=\"alphabetic\",t.fillText(this.model.text,i,n+(0,d.font_metrics)(this.font).ascent);t.restore(),this._has_finished||\"failed\"!=this.provider.status&&!this.has_image_loaded||(this._has_finished=!0,this.parent.notify_finished_after_paint())}}s.MathTextView=m,m.__name__=\"MathTextView\";class f extends p.BaseText{constructor(t){super(t)}}s.MathText=f,f.__name__=\"MathText\";class v extends m{_process_text(t){}}s.AsciiView=v,v.__name__=\"AsciiView\";class y extends f{constructor(t){super(t)}}s.Ascii=y,o=y,y.__name__=\"Ascii\",o.prototype.default_view=v;class w extends m{_process_text(t){var e;return null===(e=this.provider.MathJax)||void 0===e?void 0:e.mathml2svg(t.trim())}}s.MathMLView=w,w.__name__=\"MathMLView\";class b extends f{constructor(t){super(t)}}s.MathML=b,r=b,b.__name__=\"MathML\",r.prototype.default_view=w;class M extends m{_process_text(t){var e;return null===(e=this.provider.MathJax)||void 0===e?void 0:e.tex2svg(t,void 0,this.model.macros)}}s.TeXView=M,M.__name__=\"TeXView\";class T extends f{constructor(t){super(t)}}s.TeX=T,a=T,T.__name__=\"TeX\",a.prototype.default_view=M,a.define((({Boolean:t,Number:e,String:s,Dict:i,Tuple:n,Or:o})=>({macros:[i(o(s,n(s,e))),{}],inline:[t,!1]})))},\n function _(i,e,t,s,o){s();const a=i(19);t.load_image=async function(i,e){return new n(i,e).promise};class n{constructor(i,e={}){this._image=new Image,this._finished=!1;const{attempts:t=1,timeout:s=1}=e;this.promise=new Promise(((o,n)=>{this._image.crossOrigin=\"anonymous\";let r=0;this._image.onerror=()=>{if(++r==t){const s=`unable to load ${i} image after ${t} attempts`;if(a.logger.warn(s),null==this._image.crossOrigin)return void(null!=e.failed&&e.failed());a.logger.warn(`attempting to load ${i} without a cross origin policy`),this._image.crossOrigin=null,r=0}setTimeout((()=>this._image.src=i),s)},this._image.onload=()=>{this._finished=!0,null!=e.loaded&&e.loaded(this._image),o(this._image)},this._image.src=i}))}get finished(){return this._finished}get image(){if(this._finished)return this._image;throw new Error(\"not loaded yet\")}}t.ImageLoader=n,n.__name__=\"ImageLoader\"},\n function _(t,e,a,s,n){var r=this&&this.__createBinding||(Object.create?function(t,e,a,s){void 0===s&&(s=a),Object.defineProperty(t,s,{enumerable:!0,get:function(){return e[a]}})}:function(t,e,a,s){void 0===s&&(s=a),t[s]=e[a]}),i=this&&this.__setModuleDefault||(Object.create?function(t,e){Object.defineProperty(t,\"default\",{enumerable:!0,value:e})}:function(t,e){t.default=e}),d=this&&this.__importStar||function(t){if(t&&t.__esModule)return t;var e={};if(null!=t)for(var a in t)\"default\"!==a&&Object.prototype.hasOwnProperty.call(t,a)&&r(e,t,a);return i(e,t),e};s();const o=t(15),u=t(138);class c{constructor(){this.ready=new o.Signal0(this,\"ready\"),this.status=\"not_started\"}}a.MathJaxProvider=c,c.__name__=\"MathJaxProvider\";class h extends c{get MathJax(){return null}async fetch(){this.status=\"failed\"}}a.NoProvider=h,h.__name__=\"NoProvider\";class l extends c{get MathJax(){return\"undefined\"!=typeof MathJax?MathJax:null}async fetch(){const t=document.createElement(\"script\");t.src=\"https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-svg.js\",t.onload=()=>{this.status=\"loaded\",this.ready.emit()},t.onerror=()=>{this.status=\"failed\"},this.status=\"loading\",document.head.appendChild(t)}}a.CDNProvider=l,l.__name__=\"CDNProvider\";class _ extends c{get MathJax(){return this._mathjax}async fetch(){this.status=\"loading\";try{const e=await(0,u.load_module)(Promise.resolve().then((()=>d(t(519)))));this._mathjax=e,this.status=\"loaded\",this.ready.emit()}catch(t){this.status=\"failed\"}}}a.BundleProvider=_,_.__name__=\"BundleProvider\",a.default_provider=new _},\n function _(n,r,o,t,c){t(),o.load_module=async function(n){try{return await n}catch(n){if((r=n)instanceof Error&&\"code\"in r&&\"MODULE_NOT_FOUND\"===n.code)return null;throw n}var r}},\n function _(e,t,i,n,s){var a;n();const x=e(133),_=e(120);class l extends x.BaseTextView{initialize(){super.initialize(),this._has_finished=!0}graphics(){return new _.TextBox({text:this.model.text})}}i.PlainTextView=l,l.__name__=\"PlainTextView\";class r extends x.BaseText{constructor(e){super(e)}}i.PlainText=r,a=r,r.__name__=\"PlainText\",a.prototype.default_view=l},\n function _(t,s,o,e,i){e();const r=t(1);var a;const l=t(128),_=t(141),n=t(142),p=(0,r.__importStar)(t(48)),c=t(20),h=t(120),m=t(8);class u extends l.AxisView{_paint(t,s,o){this._draw_group_separators(t,s,o)}_draw_group_separators(t,s,o){const[e]=this.ranges,[i,r]=this.computed_bounds;if(!e.tops||e.tops.length<2||!this.visuals.separator_line.doit)return;const a=this.dimension,l=(a+1)%2,_=[[],[]];let n=0;for(let t=0;ti&&pnew h.GraphicsBoxes(t.map((t=>(0,m.isString)(t)?new h.TextBox({text:t}):t))),_=t=>l(this.model.formatter.doFormat(t,this));if(1==t.levels){const t=_(i.major);a.push([t,r.major,this.model.major_label_orientation,this.visuals.major_label_text])}else if(2==t.levels){const t=_(i.major.map((t=>t[1])));a.push([t,r.major,this.model.major_label_orientation,this.visuals.major_label_text]),a.push([l(i.tops),r.tops,this.model.group_label_orientation,this.visuals.group_text])}else if(3==t.levels){const t=_(i.major.map((t=>t[2]))),s=i.mids.map((t=>t[1]));a.push([t,r.major,this.model.major_label_orientation,this.visuals.major_label_text]),a.push([l(s),r.mids,this.model.subgroup_label_orientation,this.visuals.subgroup_text]),a.push([l(i.tops),r.tops,this.model.group_label_orientation,this.visuals.group_text])}return a}get tick_coords(){const t=this.dimension,s=(t+1)%2,[o]=this.ranges,[e,i]=this.computed_bounds,r=this.model.ticker.get_ticks(e,i,o,this.loc),a={major:[[],[]],mids:[[],[]],tops:[[],[]],minor:[[],[]]};return a.major[t]=r.major,a.major[s]=r.major.map((()=>this.loc)),3==o.levels&&(a.mids[t]=r.mids,a.mids[s]=r.mids.map((()=>this.loc))),o.levels>1&&(a.tops[t]=r.tops,a.tops[s]=r.tops.map((()=>this.loc))),a}}o.CategoricalAxisView=u,u.__name__=\"CategoricalAxisView\";class d extends l.Axis{constructor(t){super(t)}}o.CategoricalAxis=d,a=d,d.__name__=\"CategoricalAxis\",a.prototype.default_view=u,a.mixins([[\"separator_\",p.Line],[\"group_\",p.Text],[\"subgroup_\",p.Text]]),a.define((({Number:t,Or:s})=>({group_label_orientation:[s(c.TickLabelOrientation,t),\"parallel\"],subgroup_label_orientation:[s(c.TickLabelOrientation,t),\"parallel\"]}))),a.override({ticker:()=>new _.CategoricalTicker,formatter:()=>new n.CategoricalTickFormatter,separator_line_color:\"lightgrey\",separator_line_width:2,group_text_font_style:\"bold\",group_text_font_size:\"11px\",group_text_color:\"grey\",subgroup_text_font_style:\"bold\",subgroup_text_font_size:\"11px\"})},\n function _(t,c,o,s,e){s();const r=t(130);class i extends r.Ticker{constructor(t){super(t)}get_ticks(t,c,o,s){var e,r;return{major:this._collect(o.factors,o,t,c),minor:[],tops:this._collect(null!==(e=o.tops)&&void 0!==e?e:[],o,t,c),mids:this._collect(null!==(r=o.mids)&&void 0!==r?r:[],o,t,c)}}_collect(t,c,o,s){const e=[];for(const r of t){const t=c.synthetic(r);t>o&&tnew _.DatetimeTicker,formatter:()=>new m.DatetimeTickFormatter})},\n function _(e,i,s,n,r){var t;n();const a=e(143),o=e(146),c=e(147);class _ extends a.ContinuousAxisView{}s.LinearAxisView=_,_.__name__=\"LinearAxisView\";class u extends a.ContinuousAxis{constructor(e){super(e)}}s.LinearAxis=u,t=u,u.__name__=\"LinearAxis\",t.prototype.default_view=_,t.override({ticker:()=>new c.BasicTicker,formatter:()=>new o.BasicTickFormatter})},\n function _(i,t,e,n,o){var r;n();const s=i(131),c=i(34);function _(i){let t=\"\";for(const e of i)t+=\"-\"==e?\"\\u2212\":e;return t}e.unicode_replace=_;class a extends s.TickFormatter{constructor(i){super(i),this.last_precision=3}get scientific_limit_low(){return 10**this.power_limit_low}get scientific_limit_high(){return 10**this.power_limit_high}_need_sci(i){if(!this.use_scientific)return!1;const{scientific_limit_high:t}=this,{scientific_limit_low:e}=this,n=i.length<2?0:Math.abs(i[1]-i[0])/1e4;for(const o of i){const i=Math.abs(o);if(!(i<=n)&&(i>=t||i<=e))return!0}return!1}_format_with_precision(i,t,e){return t?i.map((i=>_(i.toExponential(e)))):i.map((i=>_((0,c.to_fixed)(i,e))))}_auto_precision(i,t){const e=new Array(i.length),n=this.last_precision<=15;i:for(let o=this.last_precision;n?o<=15:o>=1;n?o++:o--){if(t){e[0]=i[0].toExponential(o);for(let t=1;t({precision:[n(t,e),\"auto\"],use_scientific:[i,!0],power_limit_high:[t,5],power_limit_low:[t,-3]})))},\n function _(c,e,s,i,n){i();const r=c(148);class t extends r.AdaptiveTicker{constructor(c){super(c)}}s.BasicTicker=t,t.__name__=\"BasicTicker\"},\n function _(t,i,a,s,e){var n;s();const r=t(149),_=t(9),l=t(10);class h extends r.ContinuousTicker{constructor(t){super(t)}get_min_interval(){return this.min_interval}get_max_interval(){var t;return null!==(t=this.max_interval)&&void 0!==t?t:1/0}initialize(){super.initialize();const 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c.AdaptiveTicker({mantissas:[1,2,4,6,8,12],base:24,min_interval:T.ONE_HOUR,max_interval:12*T.ONE_HOUR,num_minor_ticks:0}),new _.DaysTicker({days:(0,t.range)(1,32)}),new _.DaysTicker({days:(0,t.range)(1,31,3)}),new _.DaysTicker({days:[1,8,15,22]}),new _.DaysTicker({days:[1,15]}),new k.MonthsTicker({months:(0,t.range)(0,12,1)}),new k.MonthsTicker({months:(0,t.range)(0,12,2)}),new k.MonthsTicker({months:(0,t.range)(0,12,4)}),new k.MonthsTicker({months:(0,t.range)(0,12,6)}),new o.YearsTicker({})]})},\n function _(t,e,i,r,s){var n;r();const _=t(149),a=t(9);class l extends _.ContinuousTicker{constructor(t){super(t)}get min_intervals(){return this.tickers.map((t=>t.get_min_interval()))}get max_intervals(){return this.tickers.map((t=>t.get_max_interval()))}get_min_interval(){return this.min_intervals[0]}get_max_interval(){return this.max_intervals[0]}get_best_ticker(t,e,i){const 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n=this.num_minor_ticks,r=[],i=this.base,c=Math.log(t)/Math.log(i),f=Math.log(o)/Math.log(i),l=f-c;let h;if(isFinite(l))if(l<2){const e=this.get_interval(t,o,s),i=Math.floor(t/e),c=Math.ceil(o/e);if(h=(0,a.range)(i,c+1).filter((t=>0!=t)).map((t=>t*e)).filter((e=>t<=e&&e<=o)),n>0&&h.length>0){const t=e/n,o=(0,a.range)(0,n).map((o=>o*t));for(const t of o.slice(1))r.push(h[0]-t);for(const t of h)for(const e of o)r.push(t+e)}}else{const t=Math.ceil(.999999*c),o=Math.floor(1.000001*f),e=Math.ceil((o-t)/9);if(h=(0,a.range)(t-1,o+1,e).map((t=>i**t)),n>0&&h.length>0){const t=i**e/n,o=(0,a.range)(1,n+1).map((o=>o*t));for(const t of o)r.push(h[0]/t);r.push(h[0]);for(const t of h)for(const e of o)r.push(t*e)}}else h=[];return{major:h.filter((e=>t<=e&&e<=o)),minor:r.filter((e=>t<=e&&e<=o))}}}e.LogTicker=c,r=c,c.__name__=\"LogTicker\",r.override({mantissas:[1,5]})},\n function _(e,r,t,i,a){var o;i();const s=e(128),c=e(145),n=e(166),_=e(167);class x extends s.AxisView{}t.MercatorAxisView=x,x.__name__=\"MercatorAxisView\";class d extends c.LinearAxis{constructor(e){super(e)}}t.MercatorAxis=d,o=d,d.__name__=\"MercatorAxis\",o.prototype.default_view=x,o.override({ticker:()=>new _.MercatorTicker({dimension:\"lat\"}),formatter:()=>new n.MercatorTickFormatter({dimension:\"lat\"})})},\n function _(r,t,e,o,n){var i;o();const c=r(146),s=r(20),a=r(78);class l extends c.BasicTickFormatter{constructor(r){super(r)}doFormat(r,t){if(null==this.dimension)throw new Error(\"MercatorTickFormatter.dimension not configured\");if(0==r.length)return[];const e=r.length,o=new Array(e);if(\"lon\"==this.dimension)for(let n=0;n({dimension:[r(s.LatLon),null]})))},\n function _(t,o,n,s,r){var e;s();const i=t(147),c=t(20),_=t(78);class a extends i.BasicTicker{constructor(t){super(t)}get_ticks_no_defaults(t,o,n,s){if(null==this.dimension)throw new Error(`${this}.dimension wasn't 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c.minor)if((0,_.in_bounds)(t,\"lat\")){const[,o]=_.wgs84_mercator.compute(e,t);m.push(o)}return{major:a,minor:m}}}n.MercatorTicker=a,e=a,a.__name__=\"MercatorTicker\",e.define((({Nullable:t})=>({dimension:[t(c.LatLon),null]})))},\n function _(e,i,r,c,k){c(),k(\"AdaptiveTicker\",e(148).AdaptiveTicker),k(\"BasicTicker\",e(147).BasicTicker),k(\"CategoricalTicker\",e(141).CategoricalTicker),k(\"CompositeTicker\",e(156).CompositeTicker),k(\"ContinuousTicker\",e(149).ContinuousTicker),k(\"DatetimeTicker\",e(155).DatetimeTicker),k(\"DaysTicker\",e(157).DaysTicker),k(\"FixedTicker\",e(169).FixedTicker),k(\"LogTicker\",e(164).LogTicker),k(\"MercatorTicker\",e(167).MercatorTicker),k(\"MonthsTicker\",e(160).MonthsTicker),k(\"SingleIntervalTicker\",e(158).SingleIntervalTicker),k(\"Ticker\",e(130).Ticker),k(\"YearsTicker\",e(161).YearsTicker),k(\"BinnedTicker\",e(170).BinnedTicker)},\n function _(r,t,e,i,n){var s;i();const _=r(149);class c extends _.ContinuousTicker{constructor(r){super(r)}get_ticks_no_defaults(r,t,e,i){return{major:this.ticks,minor:this.minor_ticks}}get_interval(r,t,e){return 0}get_min_interval(){return 0}get_max_interval(){return 0}}e.FixedTicker=c,s=c,c.__name__=\"FixedTicker\",s.define((({Number:r,Array:t})=>({ticks:[t(r),[]],minor_ticks:[t(r),[]]})))},\n function _(e,n,t,r,i){var o;r();const a=e(130),s=e(171),c=e(12);class m extends a.Ticker{constructor(e){super(e)}get_ticks(e,n,t,r){const{binning:i}=this.mapper.metrics,o=Math.max(0,(0,c.left_edge_index)(e,i)),a=Math.min((0,c.left_edge_index)(n,i)+1,i.length-1),s=[];for(let e=o;e<=a;e++)s.push(i[e]);const{num_major_ticks:m}=this,_=[],h=\"auto\"==m?s.length:m,l=Math.max(1,Math.floor(s.length/h));for(let e=0;e({mapper:[n(s.ScanningColorMapper)],num_major_ticks:[t(e,r),8]})))},\n function _(n,e,i,r,o){r();const t=n(172),a=n(12);class c extends t.ContinuousColorMapper{constructor(n){super(n)}cmap(n,e,i,r,o){if(no.binning[o.binning.length-1])return r;return e[(0,a.left_edge_index)(n,o.binning)]}}i.ScanningColorMapper=c,c.__name__=\"ScanningColorMapper\"},\n function _(t,e,o,n,s){var l;n();const c=t(173),i=t(175),a=t(9),h=t(8);class r extends c.ColorMapper{constructor(t){super(t),this._scan_data=null}connect_signals(){super.connect_signals();const t=()=>{for(const[t]of this.domain)this.connect(t.view.change,(()=>this.update_data())),this.connect(t.data_source.selected.change,(()=>this.update_data()))};this.connect(this.properties.domain.change,(()=>t())),t()}update_data(){const{domain:t,palette:e}=this,o=[...this._collect(t)];this._scan_data=this.scan(o,e.length),this.metrics_change.emit(),this.change.emit()}get metrics(){return null==this._scan_data&&this.update_data(),this._scan_data}*_collect(t){for(const[e,o]of t)for(const t of(0,h.isArray)(o)?o:[o]){let o=e.data_source.get_column(t);o=e.view.indices.select(o);const n=e.view.masked,s=e.data_source.selected.indices;let l;if(null!=n&&s.length>0?l=(0,a.intersection)([...n],s):null!=n?l=[...n]:s.length>0&&(l=s),null!=l&&(o=(0,a.map)(l,(t=>o[t]))),o.length>0&&!(0,h.isNumber)(o[0]))for(const t of o)yield*t;else yield*o}}_v_compute(t,e,o,n){const{nan_color:s}=n;let{low_color:l,high_color:c}=n;null==l&&(l=o[0]),null==c&&(c=o[o.length-1]);const{domain:i}=this,h=(0,a.is_empty)(i)?t:[...this._collect(i)];this._scan_data=this.scan(h,o.length),this.metrics_change.emit();for(let n=0,i=t.length;n({high:[a(t),null],low:[a(t),null],high_color:[a(n),null],low_color:[a(n),null],domain:[c(l(o(i.GlyphRenderer),s(e,c(e)))),[]]})))},\n function _(e,r,t,n,o){var a;n();const c=e(174),i=e(15),_=e(24),l=e(22),s=e(27);function p(e){return(0,l.encode_rgba)((0,l.color2rgba)(e))}function u(e){const r=new Uint32Array(e.length);for(let t=0,n=e.length;te))),r}get rgba_mapper(){const e=this,r=u(this.palette),t=this._colors(p);return{v_compute(n){const o=new _.ColorArray(n.length);return e._v_compute(n,o,r,t),new Uint8ClampedArray((0,s.to_big_endian)(o).buffer)}}}_colors(e){return{nan_color:e(this.nan_color)}}}t.ColorMapper=h,a=h,h.__name__=\"ColorMapper\",a.define((({Color:e,Array:r})=>({palette:[r(e)],nan_color:[e,\"gray\"]})))},\n function _(r,e,n,s,o){s();const p=r(56);class t extends p.Transform{constructor(r){super(r)}compute(r){throw new Error(\"mapping single values is not supported\")}}n.Mapper=t,t.__name__=\"Mapper\"},\n function _(e,t,i,s,l){var h;s();const n=e(176),o=e(177),a=e(186),c=e(187),_=e(189),r=e(179),d=e(70),p=e(190),g=e(24),u=e(12),y=e(13),m=e(113),v=e(67),f={fill:{},line:{}},w={fill:{fill_alpha:.3,fill_color:\"grey\"},line:{line_alpha:.3,line_color:\"grey\"}},b={fill:{fill_alpha:.2},line:{}},V={fill:{fill_alpha:.2},line:{}};class x extends n.DataRendererView{get glyph_view(){return this.glyph}async lazy_initialize(){var e;await super.lazy_initialize();const t=this.model.glyph;this.glyph=await this.build_glyph_view(t);const i=\"fill\"in this.glyph.visuals,s=\"line\"in this.glyph.visuals,l=Object.assign({},t.attributes);function h(e){const h=(0,y.clone)(l);return i&&(0,y.extend)(h,e.fill),s&&(0,y.extend)(h,e.line),new t.constructor(h)}function n(e,t){return t instanceof r.Glyph?t:h(\"auto\"==t?e:{fill:{},line:{}})}delete l.id;let{selection_glyph:o,nonselection_glyph:a,hover_glyph:c,muted_glyph:_}=this.model;o=n(f,o),this.selection_glyph=await this.build_glyph_view(o),a=n(b,a),this.nonselection_glyph=await this.build_glyph_view(a),null!=c&&(this.hover_glyph=await this.build_glyph_view(c)),_=n(V,_),this.muted_glyph=await this.build_glyph_view(_);const d=n(w,\"auto\");this.decimated_glyph=await this.build_glyph_view(d),this.selection_glyph.set_base(this.glyph),this.nonselection_glyph.set_base(this.glyph),null===(e=this.hover_glyph)||void 0===e||e.set_base(this.glyph),this.muted_glyph.set_base(this.glyph),this.decimated_glyph.set_base(this.glyph),this.set_data()}async build_glyph_view(e){return(0,m.build_view)(e,{parent:this})}remove(){var e;this.glyph.remove(),this.selection_glyph.remove(),this.nonselection_glyph.remove(),null===(e=this.hover_glyph)||void 0===e||e.remove(),this.muted_glyph.remove(),this.decimated_glyph.remove(),super.remove()}connect_signals(){super.connect_signals();const e=()=>this.request_render(),t=()=>this.update_data();this.connect(this.model.change,e),this.connect(this.glyph.model.change,t),this.connect(this.selection_glyph.model.change,t),this.connect(this.nonselection_glyph.model.change,t),null!=this.hover_glyph&&this.connect(this.hover_glyph.model.change,t),this.connect(this.muted_glyph.model.change,t),this.connect(this.decimated_glyph.model.change,t),this.connect(this.model.data_source.change,t),this.connect(this.model.data_source.streaming,t),this.connect(this.model.data_source.patching,(e=>this.update_data(e))),this.connect(this.model.data_source.selected.change,e),this.connect(this.model.data_source._select,e),null!=this.hover_glyph&&this.connect(this.model.data_source.inspect,e),this.connect(this.model.properties.view.change,t),this.connect(this.model.view.properties.indices.change,t),this.connect(this.model.view.properties.masked.change,(()=>this.set_visuals())),this.connect(this.model.properties.visible.change,(()=>this.plot_view.invalidate_dataranges=!0));const{x_ranges:i,y_ranges:s}=this.plot_view.frame;for(const[,e]of i)e instanceof v.FactorRange&&this.connect(e.change,t);for(const[,e]of s)e instanceof v.FactorRange&&this.connect(e.change,t);const{transformchange:l,exprchange:h}=this.model.glyph;this.connect(l,t),this.connect(h,t)}_update_masked_indices(){const e=this.glyph.mask_data();return this.model.view.masked=e,e}update_data(e){this.set_data(e),this.request_render()}set_data(e){const t=this.model.data_source;this.all_indices=this.model.view.indices;const{all_indices:i}=this;this.glyph.set_data(t,i,e),this.set_visuals(),this._update_masked_indices();const{lod_factor:s}=this.plot_model,l=this.all_indices.count;this.decimated=new g.Indices(l);for(let e=0;e!n||n.is_empty()?[]:n.selected_glyph?this.model.view.convert_indices_from_subset(i):n.indices.length>0?n.indices:Object.keys(n.multiline_indices).map((e=>parseInt(e))))()),d=(0,u.filter)(i,(e=>r.has(t[e]))),{lod_threshold:p}=this.plot_model;let g,y,m;if(null!=this.model.document&&this.model.document.interactive_duration()>0&&!e&&null!=p&&t.length>p?(i=[...this.decimated],g=this.decimated_glyph,y=this.decimated_glyph,m=this.selection_glyph):(g=this.model.muted?this.muted_glyph:this.glyph,y=this.nonselection_glyph,m=this.selection_glyph),null!=this.hover_glyph&&d.length){const e=new Set(i);for(const t of d)e.delete(t);i=[...e]}if(h.length){const e={};for(const t of h)e[t]=!0;const l=new Array,n=new Array;if(this.glyph instanceof o.LineView)for(const i of t)null!=e[i]?l.push(i):n.push(i);else for(const s of i)null!=e[t[s]]?l.push(s):n.push(s);y.render(s,n),m.render(s,l),null!=this.hover_glyph&&(this.glyph instanceof o.LineView?this.hover_glyph.render(s,this.model.view.convert_indices_from_subset(d)):this.hover_glyph.render(s,d))}else if(this.glyph instanceof o.LineView)this.hover_glyph&&d.length?this.hover_glyph.render(s,this.model.view.convert_indices_from_subset(d)):g.render(s,t);else if(this.glyph instanceof a.PatchView||this.glyph instanceof c.HAreaView||this.glyph instanceof _.VAreaView)if(0==n.selected_glyphs.length||null==this.hover_glyph)g.render(s,t);else for(const e of n.selected_glyphs)e==this.glyph.model&&this.hover_glyph.render(s,t);else g.render(s,i),this.hover_glyph&&d.length&&this.hover_glyph.render(s,d);s.restore()}draw_legend(e,t,i,s,l,h,n,o){0!=this.glyph.data_size&&(null==o&&(o=this.model.get_reference_point(h,n)),this.glyph.draw_legend_for_index(e,{x0:t,x1:i,y0:s,y1:l},o))}hit_test(e){if(!this.model.visible)return null;const t=this.glyph.hit_test(e);return null==t?null:this.model.view.convert_selection_from_subset(t)}}i.GlyphRendererView=x,x.__name__=\"GlyphRendererView\";class G extends n.DataRenderer{constructor(e){super(e)}initialize(){super.initialize(),this.view.source!=this.data_source&&(this.view.source=this.data_source,this.view.compute_indices())}get_reference_point(e,t){if(null!=e){const i=this.data_source.get_column(e);if(null!=i)for(const[e,s]of Object.entries(this.view.indices_map))if(i[parseInt(e)]==t)return s}return 0}get_selection_manager(){return this.data_source.selection_manager}}i.GlyphRenderer=G,h=G,G.__name__=\"GlyphRenderer\",h.prototype.default_view=x,h.define((({Boolean:e,Auto:t,Or:i,Ref:s,Null:l,Nullable:h})=>({data_source:[s(d.ColumnarDataSource)],view:[s(p.CDSView),e=>new p.CDSView({source:e.data_source})],glyph:[s(r.Glyph)],hover_glyph:[h(s(r.Glyph)),null],nonselection_glyph:[i(s(r.Glyph),t,l),\"auto\"],selection_glyph:[i(s(r.Glyph),t,l),\"auto\"],muted_glyph:[i(s(r.Glyph),t,l),\"auto\"],muted:[e,!1]})))},\n function _(e,r,t,a,n){var s;a();const c=e(41);class _ extends c.RendererView{get xscale(){return this.coordinates.x_scale}get yscale(){return this.coordinates.y_scale}}t.DataRendererView=_,_.__name__=\"DataRendererView\";class i extends c.Renderer{constructor(e){super(e)}get selection_manager(){return this.get_selection_manager()}}t.DataRenderer=i,s=i,i.__name__=\"DataRenderer\",s.override({level:\"glyph\"})},\n function _(e,t,i,s,n){s();const l=e(1);var _;const r=e(178),o=e(184),a=(0,l.__importStar)(e(48)),h=(0,l.__importStar)(e(185)),c=e(72);class d extends r.XYGlyphView{async lazy_initialize(){await super.lazy_initialize();const{webgl:t}=this.renderer.plot_view.canvas_view;if(null==t?void 0:t.regl_wrapper.has_webgl){const{LineGL:i}=await Promise.resolve().then((()=>(0,l.__importStar)(e(426))));this.glglyph=new i(t.regl_wrapper,this)}}_render(e,t,i){const{sx:s,sy:n}=null!=i?i:this;let l=null;const _=e=>null!=l&&e-l!=1;let r=!0;e.beginPath();for(const i of t){const t=s[i],o=n[i];isFinite(t+o)?r||_(i)?(e.moveTo(t,o),r=!1):e.lineTo(t,o):r=!0,l=i}this.visuals.line.set_value(e),e.stroke()}_hit_point(e){const t=new c.Selection,i={x:e.sx,y:e.sy};let s=9999;const n=Math.max(2,this.line_width.value/2);for(let e=0,l=this.sx.length-1;e({x:[c.XCoordinateSpec,{field:\"x\"}],y:[c.YCoordinateSpec,{field:\"y\"}]})))},\n function _(e,t,s,i,n){i();const r=e(1),a=(0,r.__importStar)(e(18)),o=(0,r.__importStar)(e(65)),_=(0,r.__importStar)(e(45)),l=e(42),c=e(53),h=e(19),d=e(24),u=e(8),f=e(180),p=e(12),g=e(26),y=e(181),x=e(67),v=e(72),{abs:b,ceil:m}=Math;class w extends l.View{constructor(){super(...arguments),this._index=null,this._data_size=null,this._nohit_warned=new Set}get renderer(){return this.parent}get has_webgl(){return null!=this.glglyph}get index(){const{_index:e}=this;if(null!=e)return e;throw new Error(`${this}.index_data() wasn't called`)}get data_size(){const{_data_size:e}=this;if(null!=e)return e;throw new Error(`${this}.set_data() wasn't called`)}initialize(){super.initialize(),this.visuals=new _.Visuals(this)}request_render(){this.parent.request_render()}get canvas(){return this.renderer.parent.canvas_view}render(e,t,s){var i;null!=this.glglyph&&(this.renderer.needs_webgl_blit=this.glglyph.render(e,t,null!==(i=this.base)&&void 0!==i?i:this),this.renderer.needs_webgl_blit)||this._render(e,t,null!=s?s:this.base)}has_finished(){return!0}notify_finished(){this.renderer.notify_finished()}_bounds(e){return e}bounds(){return this._bounds(this.index.bbox)}log_bounds(){const{x0:e,x1:t}=this.index.bounds(o.positive_x()),{y0:s,y1:i}=this.index.bounds(o.positive_y());return this._bounds({x0:e,y0:s,x1:t,y1:i})}get_anchor_point(e,t,[s,i]){switch(e){case\"center\":case\"center_center\":{const[e,n]=this.scenterxy(t,s,i);return{x:e,y:n}}default:return null}}scenterx(e,t,s){return this.scenterxy(e,t,s)[0]}scentery(e,t,s){return this.scenterxy(e,t,s)[1]}sdist(e,t,s,i=\"edge\",n=!1){const r=t.length,a=new d.ScreenArray(r),o=e.s_compute;if(\"center\"==i)for(let e=0;em(e))),a}draw_legend_for_index(e,t,s){}hit_test(e){switch(e.type){case\"point\":if(null!=this._hit_point)return this._hit_point(e);break;case\"span\":if(null!=this._hit_span)return this._hit_span(e);break;case\"rect\":if(null!=this._hit_rect)return this._hit_rect(e);break;case\"poly\":if(null!=this._hit_poly)return this._hit_poly(e)}return this._nohit_warned.has(e.type)||(h.logger.debug(`'${e.type}' selection not available for ${this.model.type}`),this._nohit_warned.add(e.type)),null}_hit_rect_against_index(e){const{sx0:t,sx1:s,sy0:i,sy1:n}=e,[r,a]=this.renderer.coordinates.x_scale.r_invert(t,s),[o,_]=this.renderer.coordinates.y_scale.r_invert(i,n),l=[...this.index.indices({x0:r,x1:a,y0:o,y1:_})];return new v.Selection({indices:l})}_project_data(){}*_iter_visuals(){for(const e of this.visuals)for(const t of e)(t instanceof a.VectorSpec||t instanceof a.ScalarSpec)&&(yield t)}set_base(e){e!=this&&e instanceof this.constructor&&(this.base=e)}_configure(e,t){Object.defineProperty(this,(0,u.isString)(e)?e:e.attr,Object.assign({configurable:!0,enumerable:!0},t))}set_visuals(e,t){var s;for(const s of this._iter_visuals()){const{base:i}=this;if(null!=i){const e=i.model.properties[s.attr];if(null!=e&&(0,g.is_equal)(s.get_value(),e.get_value())){this._configure(s,{get:()=>i[`${s.attr}`]});continue}}const n=s.uniform(e).select(t);this._configure(s,{value:n})}for(const e of this.visuals)e.update();null===(s=this.glglyph)||void 0===s||s.set_visuals_changed()}set_data(e,t,s){var i;const{x_source:n,y_source:r}=this.renderer.coordinates,o=new Set(this._iter_visuals());this._data_size=t.count;for(const s of this.model)if((s instanceof a.VectorSpec||s instanceof a.ScalarSpec)&&!o.has(s))if(s instanceof a.BaseCoordinateSpec){const i=s.array(e);let o=t.select(i);const _=\"x\"==s.dimension?n:r;if(_ instanceof x.FactorRange)if(s instanceof a.CoordinateSpec)o=_.v_synthetic(o);else if(s instanceof a.CoordinateSeqSpec)for(let e=0;e{const s=new Uint32Array(r);for(let a=0;a>1;t[s]>i?e=s:n=s+1}return t[n]}class r extends d.default{get boxes(){return this._boxes}search_indices(i,t,n,e){if(this._pos!==this._boxes.length)throw new Error(\"Data not yet indexed - call index.finish().\");let s=this._boxes.length-4;const d=[],x=new o.Indices(this.numItems);for(;void 0!==s;){const o=Math.min(s+4*this.nodeSize,h(s,this._levelBounds));for(let h=s;h>2],r=this._boxes[h+0],l=this._boxes[h+1],a=this._boxes[h+2],_=this._boxes[h+3];na||t>_||(s<4*this.numItems?x.set(o):d.push(o)))}s=d.pop()}return x}}r.__name__=\"_FlatBush\";class l{constructor(i){this.index=null,i>0&&(this.index=new r(i))}add_rect(i,t,n,e){var s;isFinite(i+t+n+e)?null===(s=this.index)||void 0===s||s.add(i,t,n,e):this.add_empty()}add_point(i,t){var n;isFinite(i+t)?null===(n=this.index)||void 0===n||n.add(i,t,i,t):this.add_empty()}add_empty(){var i;null===(i=this.index)||void 0===i||i.add(1/0,1/0,-1/0,-1/0)}finish(){var i;null===(i=this.index)||void 0===i||i.finish()}_normalize(i){let{x0:t,y0:n,x1:e,y1:s}=i;return t>e&&([t,e]=[e,t]),n>s&&([n,s]=[s,n]),{x0:t,y0:n,x1:e,y1:s}}get bbox(){if(null==this.index)return(0,x.empty)();{const{minX:i,minY:t,maxX:n,maxY:e}=this.index;return{x0:i,y0:t,x1:n,y1:e}}}indices(i){if(null==this.index)return new o.Indices(0);{const{x0:t,y0:n,x1:e,y1:s}=this._normalize(i);return this.index.search_indices(t,n,e,s)}}bounds(i){const t=(0,x.empty)();if(null==this.index)return t;const{boxes:n}=this.index;for(const e of this.indices(i)){const s=n[4*e+0],d=n[4*e+1],o=n[4*e+2],x=n[4*e+3];s>=i.x0&&st.x1&&(t.x1=o),d>=i.y0&&dt.y1&&(t.y1=x)}return t}}n.SpatialIndex=l,l.__name__=\"SpatialIndex\"},\n function _(t,s,i,e,h){e();const n=(0,t(1).__importDefault)(t(183)),o=[Int8Array,Uint8Array,Uint8ClampedArray,Int16Array,Uint16Array,Int32Array,Uint32Array,Float32Array,Float64Array];class r{static from(t){if(!(t instanceof ArrayBuffer))throw new Error(\"Data must be an instance of ArrayBuffer.\");const[s,i]=new Uint8Array(t,0,2);if(251!==s)throw new Error(\"Data does not appear to be in a Flatbush format.\");if(i>>4!=3)throw new Error(`Got v${i>>4} data when expected v3.`);const[e]=new Uint16Array(t,2,1),[h]=new Uint32Array(t,4,1);return new r(h,e,o[15&i],t)}constructor(t,s=16,i=Float64Array,e){if(void 0===t)throw new Error(\"Missing required argument: numItems.\");if(isNaN(t)||t<=0)throw new Error(`Unpexpected numItems value: ${t}.`);this.numItems=+t,this.nodeSize=Math.min(Math.max(+s,2),65535);let h=t,r=h;this._levelBounds=[4*h];do{h=Math.ceil(h/this.nodeSize),r+=h,this._levelBounds.push(4*r)}while(1!==h);this.ArrayType=i||Float64Array,this.IndexArrayType=r<16384?Uint16Array:Uint32Array;const a=o.indexOf(this.ArrayType),_=4*r*this.ArrayType.BYTES_PER_ELEMENT;if(a<0)throw new Error(`Unexpected typed array class: ${i}.`);e&&e instanceof ArrayBuffer?(this.data=e,this._boxes=new this.ArrayType(this.data,8,4*r),this._indices=new this.IndexArrayType(this.data,8+_,r),this._pos=4*r,this.minX=this._boxes[this._pos-4],this.minY=this._boxes[this._pos-3],this.maxX=this._boxes[this._pos-2],this.maxY=this._boxes[this._pos-1]):(this.data=new ArrayBuffer(8+_+r*this.IndexArrayType.BYTES_PER_ELEMENT),this._boxes=new this.ArrayType(this.data,8,4*r),this._indices=new this.IndexArrayType(this.data,8+_,r),this._pos=0,this.minX=1/0,this.minY=1/0,this.maxX=-1/0,this.maxY=-1/0,new Uint8Array(this.data,0,2).set([251,48+a]),new Uint16Array(this.data,2,1)[0]=s,new Uint32Array(this.data,4,1)[0]=t),this._queue=new n.default}add(t,s,i,e){const h=this._pos>>2;return this._indices[h]=h,this._boxes[this._pos++]=t,this._boxes[this._pos++]=s,this._boxes[this._pos++]=i,this._boxes[this._pos++]=e,tthis.maxX&&(this.maxX=i),e>this.maxY&&(this.maxY=e),h}finish(){if(this._pos>>2!==this.numItems)throw new Error(`Added ${this._pos>>2} items when expected ${this.numItems}.`);if(this.numItems<=this.nodeSize)return this._boxes[this._pos++]=this.minX,this._boxes[this._pos++]=this.minY,this._boxes[this._pos++]=this.maxX,void(this._boxes[this._pos++]=this.maxY);const t=this.maxX-this.minX,s=this.maxY-this.minY,i=new Uint32Array(this.numItems);for(let 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l.Selection;for(let i=0,n=s-1;i({x1:[o.XCoordinateSpec,{field:\"x1\"}],x2:[o.XCoordinateSpec,{field:\"x2\"}],y:[o.YCoordinateSpec,{field:\"y\"}]})))},\n function _(e,a,r,_,s){_();const n=e(1);var c;const i=e(179),l=e(184),t=(0,n.__importStar)(e(48));class o extends i.GlyphView{draw_legend_for_index(e,a,r){(0,l.generic_area_scalar_legend)(this.visuals,e,a)}}r.AreaView=o,o.__name__=\"AreaView\";class d extends i.Glyph{constructor(e){super(e)}}r.Area=d,c=d,d.__name__=\"Area\",c.mixins([t.FillScalar,t.HatchScalar])},\n function _(t,s,e,i,n){i();const h=t(1);var r;const a=t(188),_=(0,h.__importStar)(t(185)),o=(0,h.__importStar)(t(18)),l=t(72);class c extends a.AreaView{_index_data(t){const{min:s,max:e}=Math,{data_size:i}=this;for(let n=0;n=0;s--)t.lineTo(i[s],h[s]);t.closePath(),this.visuals.fill.apply(t),this.visuals.hatch.apply(t)}scenterxy(t){return[this.sx[t],(this.sy1[t]+this.sy2[t])/2]}_hit_point(t){const s=this.sx.length,e=new l.Selection;for(let i=0,n=s-1;i({x:[o.XCoordinateSpec,{field:\"x\"}],y1:[o.YCoordinateSpec,{field:\"y1\"}],y2:[o.YCoordinateSpec,{field:\"y2\"}]})))},\n function _(e,i,s,t,n){var c;t();const o=e(53),r=e(24),u=e(191),_=e(70);class a extends o.Model{constructor(e){super(e)}initialize(){super.initialize(),this.compute_indices()}connect_signals(){super.connect_signals(),this.connect(this.properties.filters.change,(()=>this.compute_indices()));const e=()=>{const e=()=>this.compute_indices();null!=this.source&&(this.connect(this.source.change,e),this.source instanceof _.ColumnarDataSource&&(this.connect(this.source.streaming,e),this.connect(this.source.patching,e)))};let i=null!=this.source;i?e():this.connect(this.properties.source.change,(()=>{i||(e(),i=!0)}))}compute_indices(){var e;const{source:i}=this;if(null==i)return;const s=null!==(e=i.get_length())&&void 0!==e?e:1,t=r.Indices.all_set(s);for(const e of 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t.map(((t,e,s)=>`${n(t,e,s,...this.values)}`))}}n.FuncTickFormatter=o,c=o,o.__name__=\"FuncTickFormatter\",c.define((({Unknown:t,String:e,Dict:n})=>({args:[n(t),{}],code:[e,\"\"]})))},\n function _(r,n,t,o,e){o();var a;const u=(0,r(1).__importStar)(r(153)),c=r(131),i=r(20);class s extends c.TickFormatter{constructor(r){super(r)}get _rounding_fn(){switch(this.rounding){case\"round\":case\"nearest\":return Math.round;case\"floor\":case\"rounddown\":return Math.floor;case\"ceil\":case\"roundup\":return Math.ceil}}doFormat(r,n){const{format:t,language:o,_rounding_fn:e}=this;return r.map((r=>u.format(r,t,o,e)))}}t.NumeralTickFormatter=s,a=s,s.__name__=\"NumeralTickFormatter\",a.define((({String:r})=>({format:[r,\"0,0\"],language:[r,\"en\"],rounding:[i.RoundingFunction,\"round\"]})))},\n function _(t,r,n,o,a){var e;o();const i=t(131),s=t(152);class c extends i.TickFormatter{constructor(t){super(t)}doFormat(t,r){return 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s;r();const c=t(198),l=t(67),p=t(174),u=t(20);class o extends p.Mapper{constructor(t){super(t)}v_compute(t){const e=new Array(t.length);return(0,c.cat_v_compute)(t,this.factors,this.patterns,e,this.start,this.end,this.default_value),e}}a.CategoricalPatternMapper=o,s=o,o.__name__=\"CategoricalPatternMapper\",s.define((({Number:t,Array:e,Nullable:a})=>({factors:[l.FactorSeq],patterns:[e(u.HatchPatternType)],start:[t,0],end:[a(t),null],default_value:[u.HatchPatternType,\" \"]})))},\n function _(n,r,o,t,a){t();const e=n(172),i=n(12);class s extends e.ContinuousColorMapper{constructor(n){super(n)}scan(n,r){const o=null!=this.low?this.low:(0,i.min)(n),t=null!=this.high?this.high:(0,i.max)(n);return{max:t,min:o,norm_factor:1/(t-o),normed_interval:1/r}}cmap(n,r,o,t,a){const e=r.length-1;if(n==a.max)return r[e];const i=(n-a.min)*a.norm_factor,s=Math.floor(i/a.normed_interval);return s<0?o:s>e?t:r[s]}}o.LinearColorMapper=s,s.__name__=\"LinearColorMapper\"},\n function _(o,t,n,r,l){r();const a=o(172),s=o(12);class e extends a.ContinuousColorMapper{constructor(o){super(o)}scan(o,t){const n=null!=this.low?this.low:(0,s.min)(o),r=null!=this.high?this.high:(0,s.max)(o);return{max:r,min:n,scale:t/(Math.log(r)-Math.log(n))}}cmap(o,t,n,r,l){const a=t.length-1;if(o>l.max)return r;if(o==l.max)return t[a];if(oa&&(e=a),t[e]}}n.LogColorMapper=e,e.__name__=\"LogColorMapper\"},\n function _(e,n,s,t,l){var i;t();const r=e(171),o=e(12),c=e(9);class a extends r.ScanningColorMapper{constructor(e){super(e)}scan(e,n){let s=null!=this.low?this.low:(0,o.min)(e);const t=null!=this.high?this.high:(0,o.max)(e),l=this.bins,i=(0,c.linspace)(s,t,l+1),r=(0,o.bin_counts)(e,i);let a=0;for(let e=0;e1&&(f=1-n)}const d=(0,c.linspace)(f,1,n+1),g=(0,o.interpolate)(d,p,_);return this.rescale_discrete_levels?s=g[0]:g[0]=s,g[g.length-1]=t,{min:s,max:t,binning:g}}}s.EqHistColorMapper=a,i=a,a.__name__=\"EqHistColorMapper\",i.define((({Boolean:e,Int:n})=>({bins:[n,65536],rescale_discrete_levels:[e,!1]})))},\n function _(a,e,l,c,n){c(),n(\"CategoricalScale\",a(62).CategoricalScale),n(\"ContinuousScale\",a(60).ContinuousScale),n(\"LinearScale\",a(59).LinearScale),n(\"LinearInterpolationScale\",a(205).LinearInterpolationScale),n(\"LogScale\",a(61).LogScale),n(\"Scale\",a(55).Scale)},\n function _(e,r,n,t,a){var i;t();const s=e(55),o=e(59),c=e(12);class _ extends s.Scale{constructor(e){super(e)}connect_signals(){super.connect_signals();const{source_range:e,target_range:r}=this.properties;this.on_change([e,r],(()=>{this.linear_scale=new o.LinearScale({source_range:this.source_range,target_range:this.target_range})}))}get s_compute(){throw new Error(\"not implemented\")}get s_invert(){throw new Error(\"not implemented\")}compute(e){return e}v_compute(e){const{binning:r}=this,{start:n,end:t}=this.source_range,a=n,i=t,s=r.length,o=(t-n)/(s-1),_=new Float64Array(s);for(let e=0;e{if(ei)return i;const n=(0,c.left_edge_index)(e,r);if(-1==n)return a;if(n>=s-1)return i;const t=r[n],o=(e-t)/(r[n+1]-t),l=_[n];return l+o*(_[n+1]-l)}));return this.linear_scale.v_compute(l)}invert(e){return e}v_invert(e){return new Float64Array(e)}}n.LinearInterpolationScale=_,i=_,_.__name__=\"LinearInterpolationScale\",i.internal((({Arrayable:e,Ref:r})=>({binning:[e],linear_scale:[r(o.LinearScale),e=>new o.LinearScale({source_range:e.source_range,target_range:e.target_range})]})))},\n function _(a,n,e,g,R){g(),R(\"DataRange\",a(64).DataRange),R(\"DataRange1d\",a(63).DataRange1d),R(\"FactorRange\",a(67).FactorRange),R(\"Range\",a(57).Range),R(\"Range1d\",a(58).Range1d)},\n function _(a,o,i,t,e){t();var n=a(124);e(\"Sizeable\",n.Sizeable),e(\"SizingPolicy\",n.SizingPolicy);var c=a(125);e(\"Layoutable\",c.Layoutable),e(\"LayoutItem\",c.LayoutItem);var r=a(208);e(\"HStack\",r.HStack),e(\"VStack\",r.VStack);var l=a(209);e(\"Grid\",l.Grid),e(\"Row\",l.Row),e(\"Column\",l.Column);var S=a(210);e(\"ContentBox\",S.ContentBox),e(\"VariadicBox\",S.VariadicBox)},\n function _(t,e,h,i,r){i();const n=t(125),o=t(65);class s extends n.Layoutable{constructor(){super(...arguments),this.children=[]}*[Symbol.iterator](){yield*this.children}}h.Stack=s,s.__name__=\"Stack\";class c extends s{_measure(t){let e=0,h=0;for(const t of this.children){const i=t.measure({width:0,height:0});e+=i.width,h=Math.max(h,i.height)}return{width:e,height:h}}_set_geometry(t,e){super._set_geometry(t,e);const h=this.absolute?t.top:0;let i=this.absolute?t.left:0;const{height:r}=t;for(const t of this.children){const{width:e}=t.measure({width:0,height:0});t.set_geometry(new o.BBox({left:i,width:e,top:h,height:r})),i+=e}}}h.HStack=c,c.__name__=\"HStack\";class a extends s{_measure(t){let e=0,h=0;for(const t of this.children){const i=t.measure({width:0,height:0});e=Math.max(e,i.width),h+=i.height}return{width:e,height:h}}_set_geometry(t,e){super._set_geometry(t,e);const h=this.absolute?t.left:0;let i=this.absolute?t.top:0;const{width:r}=t;for(const t of this.children){const{height:e}=t.measure({width:0,height:0});t.set_geometry(new o.BBox({top:i,height:e,left:h,width:r})),i+=e}}}h.VStack=a,a.__name__=\"VStack\";class l extends n.Layoutable{constructor(){super(...arguments),this.children=[]}*[Symbol.iterator](){yield*this.children}_measure(t){const{width_policy:e,height_policy:h}=this.sizing,{min:i,max:r}=Math;let n=0,o=0;for(const e of this.children){const{width:h,height:i}=e.measure(t);n=r(n,h),o=r(o,i)}return{width:(()=>{const{width:h}=this.sizing;if(t.width==1/0)return\"fixed\"==e&&null!=h?h:n;switch(e){case\"fixed\":return null!=h?h:n;case\"min\":return n;case\"fit\":return null!=h?i(t.width,h):t.width;case\"max\":return null!=h?r(t.width,h):t.width}})(),height:(()=>{const{height:e}=this.sizing;if(t.height==1/0)return\"fixed\"==h&&null!=e?e:o;switch(h){case\"fixed\":return null!=e?e:o;case\"min\":return o;case\"fit\":return null!=e?i(t.height,e):t.height;case\"max\":return null!=e?r(t.height,e):t.height}})()}}_set_geometry(t,e){super._set_geometry(t,e);const h=this.absolute?t:t.relative(),{left:i,right:r,top:n,bottom:s}=h,c=Math.round(h.vcenter),a=Math.round(h.hcenter);for(const e of this.children){const{margin:h,halign:l,valign:d}=e.sizing,{width:u,height:g,inner:_}=e.measure(t),w=(()=>{switch(`${d}_${l}`){case\"start_start\":return new o.BBox({left:i+h.left,top:n+h.top,width:u,height:g});case\"start_center\":return new o.BBox({hcenter:a,top:n+h.top,width:u,height:g});case\"start_end\":return new o.BBox({right:r-h.right,top:n+h.top,width:u,height:g});case\"center_start\":return new o.BBox({left:i+h.left,vcenter:c,width:u,height:g});case\"center_center\":return new o.BBox({hcenter:a,vcenter:c,width:u,height:g});case\"center_end\":return new o.BBox({right:r-h.right,vcenter:c,width:u,height:g});case\"end_start\":return new o.BBox({left:i+h.left,bottom:s-h.bottom,width:u,height:g});case\"end_center\":return new o.BBox({hcenter:a,bottom:s-h.bottom,width:u,height:g});case\"end_end\":return new o.BBox({right:r-h.right,bottom:s-h.bottom,width:u,height:g})}})(),m=null==_?w:new o.BBox({left:w.left+_.left,top:w.top+_.top,right:w.right-_.right,bottom:w.bottom-_.bottom});e.set_geometry(w,m)}}}h.NodeLayout=l,l.__name__=\"NodeLayout\"},\n function _(t,i,s,e,o){e();const n=t(124),l=t(125),r=t(8),h=t(65),c=t(9),{max:a,round:g}=Math;class p{constructor(t){this.def=t,this._map=new Map}get(t){let i=this._map.get(t);return void 0===i&&(i=this.def(),this._map.set(t,i)),i}apply(t,i){const s=this.get(t);this._map.set(t,i(s))}}p.__name__=\"DefaultMap\";class f{constructor(){this._items=[],this._nrows=0,this._ncols=0}get nrows(){return this._nrows}get ncols(){return this._ncols}add(t,i){const{r1:s,c1:e}=t;this._nrows=a(this._nrows,s+1),this._ncols=a(this._ncols,e+1),this._items.push({span:t,data:i})}at(t,i){return this._items.filter((({span:s})=>s.r0<=t&&t<=s.r1&&s.c0<=i&&i<=s.c1)).map((({data:t})=>t))}row(t){return this._items.filter((({span:i})=>i.r0<=t&&t<=i.r1)).map((({data:t})=>t))}col(t){return this._items.filter((({span:i})=>i.c0<=t&&t<=i.c1)).map((({data:t})=>t))}foreach(t){for(const{span:i,data:s}of this._items)t(i,s)}map(t){const i=new f;for(const{span:s,data:e}of this._items)i.add(s,t(s,e));return i}}f.__name__=\"Container\";class _ extends l.Layoutable{constructor(t=[]){super(),this.items=t,this.rows=\"auto\",this.cols=\"auto\",this.spacing=0}*[Symbol.iterator](){for(const{layout:t}of this.items)yield t}is_width_expanding(){if(super.is_width_expanding())return!0;if(\"fixed\"==this.sizing.width_policy)return!1;const{cols:t}=this._state;return(0,c.some)(t,(t=>\"max\"==t.policy))}is_height_expanding(){if(super.is_height_expanding())return!0;if(\"fixed\"==this.sizing.height_policy)return!1;const{rows:t}=this._state;return(0,c.some)(t,(t=>\"max\"==t.policy))}_init(){var t,i,s,e;super._init();const o=new f;for(const{layout:t,row:i,col:s,row_span:e,col_span:n}of this.items)if(t.sizing.visible){const l=i,r=s,h=i+(null!=e?e:1)-1,c=s+(null!=n?n:1)-1;o.add({r0:l,c0:r,r1:h,c1:c},t)}const{nrows:n,ncols:l}=o,h=new Array(n);for(let s=0;s{var t;const i=(0,r.isPlainObject)(this.rows)?null!==(t=this.rows[s])&&void 0!==t?t:this.rows[\"*\"]:this.rows;return null==i?{policy:\"auto\"}:(0,r.isNumber)(i)?{policy:\"fixed\",height:i}:(0,r.isString)(i)?{policy:i}:i})(),n=null!==(t=e.align)&&void 0!==t?t:\"auto\";if(\"fixed\"==e.policy)h[s]={policy:\"fixed\",height:e.height,align:n};else if(\"min\"==e.policy)h[s]={policy:\"min\",align:n};else if(\"fit\"==e.policy||\"max\"==e.policy)h[s]={policy:e.policy,flex:null!==(i=e.flex)&&void 0!==i?i:1,align:n};else{if(\"auto\"!=e.policy)throw new Error(\"unrechable\");(0,c.some)(o.row(s),(t=>t.is_height_expanding()))?h[s]={policy:\"max\",flex:1,align:n}:h[s]={policy:\"min\",align:n}}}const a=new Array(l);for(let t=0;t{var i;const s=(0,r.isPlainObject)(this.cols)?null!==(i=this.cols[t])&&void 0!==i?i:this.cols[\"*\"]:this.cols;return null==s?{policy:\"auto\"}:(0,r.isNumber)(s)?{policy:\"fixed\",width:s}:(0,r.isString)(s)?{policy:s}:s})(),n=null!==(s=i.align)&&void 0!==s?s:\"auto\";if(\"fixed\"==i.policy)a[t]={policy:\"fixed\",width:i.width,align:n};else if(\"min\"==i.policy)a[t]={policy:\"min\",align:n};else if(\"fit\"==i.policy||\"max\"==i.policy)a[t]={policy:i.policy,flex:null!==(e=i.flex)&&void 0!==e?e:1,align:n};else{if(\"auto\"!=i.policy)throw new Error(\"unrechable\");(0,c.some)(o.col(t),(t=>t.is_width_expanding()))?a[t]={policy:\"max\",flex:1,align:n}:a[t]={policy:\"min\",align:n}}}const[g,p]=(0,r.isNumber)(this.spacing)?[this.spacing,this.spacing]:this.spacing;this._state={items:o,nrows:n,ncols:l,rows:h,cols:a,rspacing:g,cspacing:p}}_measure_totals(t,i){const{nrows:s,ncols:e,rspacing:o,cspacing:n}=this._state;return{height:(0,c.sum)(t)+(s-1)*o,width:(0,c.sum)(i)+(e-1)*n}}_measure_cells(t){const{items:i,nrows:s,ncols:e,rows:o,cols:l,rspacing:r,cspacing:h}=this._state,c=new Array(s);for(let t=0;t{const{r0:e,c0:f,r1:d,c1:u}=i,w=(d-e)*r,m=(u-f)*h;let y=0;for(let i=e;i<=d;i++)y+=t(i,f).height;y+=w;let x=0;for(let i=f;i<=u;i++)x+=t(e,i).width;x+=m;const b=s.measure({width:x,height:y});_.add(i,{layout:s,size_hint:b});const z=new n.Sizeable(b).grow_by(s.sizing.margin);z.height-=w,z.width-=m;const v=[];for(let t=e;t<=d;t++){const i=o[t];\"fixed\"==i.policy?z.height-=i.height:v.push(t)}if(z.height>0){const t=g(z.height/v.length);for(const i of v)c[i]=a(c[i],t)}const j=[];for(let t=f;t<=u;t++){const i=l[t];\"fixed\"==i.policy?z.width-=i.width:j.push(t)}if(z.width>0){const t=g(z.width/j.length);for(const i of j)p[i]=a(p[i],t)}}));return{size:this._measure_totals(c,p),row_heights:c,col_widths:p,size_hints:_}}_measure_grid(t){const{nrows:i,ncols:s,rows:e,cols:o,rspacing:n,cspacing:l}=this._state,r=this._measure_cells(((t,i)=>{const s=e[t],n=o[i];return{width:\"fixed\"==n.policy?n.width:1/0,height:\"fixed\"==s.policy?s.height:1/0}}));let h;h=\"fixed\"==this.sizing.height_policy&&null!=this.sizing.height?this.sizing.height:t.height!=1/0&&this.is_height_expanding()?t.height:r.size.height;let c,p=0;for(let t=0;t0)for(let t=0;ti?i:e,t--}}}c=\"fixed\"==this.sizing.width_policy&&null!=this.sizing.width?this.sizing.width:t.width!=1/0&&this.is_width_expanding()?t.width:r.size.width;let f=0;for(let t=0;t0)for(let t=0;ts?s:o,t--}}}const{row_heights:_,col_widths:d,size_hints:u}=this._measure_cells(((t,i)=>({width:r.col_widths[i],height:r.row_heights[t]})));return{size:this._measure_totals(_,d),row_heights:_,col_widths:d,size_hints:u}}_measure(t){const{size:i}=this._measure_grid(t);return i}_set_geometry(t,i){super._set_geometry(t,i);const{nrows:s,ncols:e,rspacing:o,cspacing:n}=this._state,{row_heights:l,col_widths:r,size_hints:c}=this._measure_grid(t),f=this._state.rows.map(((t,i)=>Object.assign(Object.assign({},t),{top:0,height:l[i],get bottom(){return this.top+this.height}}))),_=this._state.cols.map(((t,i)=>Object.assign(Object.assign({},t),{left:0,width:r[i],get right(){return this.left+this.width}}))),d=c.map(((t,i)=>Object.assign(Object.assign({},i),{outer:new h.BBox,inner:new h.BBox})));for(let i=0,e=this.absolute?t.top:0;i{const{layout:r,size_hint:c}=l,{sizing:a}=r,{width:p,height:d}=c,u=function(t,i){let s=(i-t)*n;for(let e=t;e<=i;e++)s+=_[e].width;return s}(i,e),w=function(t,i){let s=(i-t)*o;for(let e=t;e<=i;e++)s+=f[e].height;return s}(t,s),m=i==e&&\"auto\"!=_[i].align?_[i].align:a.halign,y=t==s&&\"auto\"!=f[t].align?f[t].align:a.valign;let x=_[i].left;\"start\"==m?x+=a.margin.left:\"center\"==m?x+=g((u-p)/2):\"end\"==m&&(x+=u-a.margin.right-p);let b=f[t].top;\"start\"==y?b+=a.margin.top:\"center\"==y?b+=g((w-d)/2):\"end\"==y&&(b+=w-a.margin.bottom-d),l.outer=new h.BBox({left:x,top:b,width:p,height:d})}));const u=f.map((()=>({start:new p((()=>0)),end:new p((()=>0))}))),w=_.map((()=>({start:new p((()=>0)),end:new p((()=>0))})));d.foreach((({r0:t,c0:i,r1:s,c1:e},{size_hint:o,outer:n})=>{const{inner:l}=o;null!=l&&(u[t].start.apply(n.top,(t=>a(t,l.top))),u[s].end.apply(f[s].bottom-n.bottom,(t=>a(t,l.bottom))),w[i].start.apply(n.left,(t=>a(t,l.left))),w[e].end.apply(_[e].right-n.right,(t=>a(t,l.right))))})),d.foreach((({r0:t,c0:i,r1:s,c1:e},o)=>{const{size_hint:n,outer:l}=o,r=t=>{const i=this.absolute?l:l.relative(),s=i.left+t.left,e=i.top+t.top,o=i.right-t.right,n=i.bottom-t.bottom;return new h.BBox({left:s,top:e,right:o,bottom:n})};if(null!=n.inner){let h=r(n.inner);if(!1!==n.align){const o=u[t].start.get(l.top),n=u[s].end.get(f[s].bottom-l.bottom),c=w[i].start.get(l.left),a=w[e].end.get(_[e].right-l.right);try{h=r({top:o,bottom:n,left:c,right:a})}catch(t){}}o.inner=h}else o.inner=l})),d.foreach(((t,{layout:i,outer:s,inner:e})=>{i.set_geometry(s,e)}))}}s.Grid=_,_.__name__=\"Grid\";class d extends _{constructor(t){super(),this.items=t.map(((t,i)=>({layout:t,row:0,col:i}))),this.rows=\"fit\"}}s.Row=d,d.__name__=\"Row\";class u extends _{constructor(t){super(),this.items=t.map(((t,i)=>({layout:t,row:i,col:0}))),this.cols=\"fit\"}}s.Column=u,u.__name__=\"Column\"},\n function _(e,t,s,n,i){n();const a=e(125),c=e(124),o=e(43);class r extends a.ContentLayoutable{constructor(e){super(),this.content_size=(0,o.unsized)(e,(()=>new c.Sizeable((0,o.size)(e))))}_content_size(){return this.content_size}}s.ContentBox=r,r.__name__=\"ContentBox\";class _ extends a.Layoutable{constructor(e){super(),this.el=e}_measure(e){const t=new c.Sizeable(e).bounded_to(this.sizing.size);return(0,o.sized)(this.el,t,(()=>{const e=new c.Sizeable((0,o.content_size)(this.el)),{border:t,padding:s}=(0,o.extents)(this.el);return e.grow_by(t).grow_by(s).map(Math.ceil)}))}}s.VariadicBox=_,_.__name__=\"VariadicBox\";class h extends _{constructor(e){super(e),this._cache=new Map}_measure(e){const{width:t,height:s}=e,n=`${t},${s}`;let i=this._cache.get(n);return null==i&&(i=super._measure(e),this._cache.set(n,i)),i}invalidate_cache(){this._cache.clear()}}s.CachedVariadicBox=h,h.__name__=\"CachedVariadicBox\"},\n function _(t,e,i,h,o){h();const s=t(124),r=t(125),n=t(65);class g extends r.Layoutable{constructor(){super(...arguments),this.min_border={left:0,top:0,right:0,bottom:0},this.padding={left:0,top:0,right:0,bottom:0}}*[Symbol.iterator](){yield this.top_panel,yield this.bottom_panel,yield this.left_panel,yield this.right_panel,yield this.center_panel}_measure(t){t=new s.Sizeable({width:\"fixed\"==this.sizing.width_policy||t.width==1/0?this.sizing.width:t.width,height:\"fixed\"==this.sizing.height_policy||t.height==1/0?this.sizing.height:t.height});const e=this.left_panel.measure({width:0,height:t.height}),i=Math.max(e.width,this.min_border.left)+this.padding.left,h=this.right_panel.measure({width:0,height:t.height}),o=Math.max(h.width,this.min_border.right)+this.padding.right,r=this.top_panel.measure({width:t.width,height:0}),n=Math.max(r.height,this.min_border.top)+this.padding.top,g=this.bottom_panel.measure({width:t.width,height:0}),a=Math.max(g.height,this.min_border.bottom)+this.padding.bottom,d=new s.Sizeable(t).shrink_by({left:i,right:o,top:n,bottom:a}),l=this.center_panel.measure(d);return{width:i+l.width+o,height:n+l.height+a,inner:{left:i,right:o,top:n,bottom:a},align:(()=>{const{width_policy:t,height_policy:e}=this.center_panel.sizing;return\"fixed\"!=t&&\"fixed\"!=e})()}}_set_geometry(t,e){super._set_geometry(t,e),this.center_panel.set_geometry(e);const i=this.left_panel.measure({width:0,height:t.height}),h=this.right_panel.measure({width:0,height:t.height}),o=this.top_panel.measure({width:t.width,height:0}),s=this.bottom_panel.measure({width:t.width,height:0}),{left:r,top:g,right:a,bottom:d}=e;this.top_panel.set_geometry(new n.BBox({left:r,right:a,bottom:g,height:o.height})),this.bottom_panel.set_geometry(new n.BBox({left:r,right:a,top:d,height:s.height})),this.left_panel.set_geometry(new n.BBox({top:g,bottom:d,right:r,width:i.width})),this.right_panel.set_geometry(new n.BBox({top:g,bottom:d,left:a,width:h.width}))}}i.BorderLayout=g,g.__name__=\"BorderLayout\"},\n function _(t,e,i,s,l){s();const n=t(1);var o;const a=t(119),_=t(10),d=t(20),h=t(120),r=t(123),u=(0,n.__importStar)(t(48));class c extends a.TextAnnotationView{update_layout(){const{panel:t}=this;this.layout=null!=t?new r.SideLayout(t,(()=>this.get_size()),!1):void 0}_get_size(){const{text:t}=this.model,e=new h.TextBox({text:t}),{angle:i,angle_units:s}=this.model;e.angle=(0,_.resolve_angle)(i,s),e.visuals=this.visuals.text.values();const{width:l,height:n}=e.size();return{width:l,height:n}}_render(){const{angle:t,angle_units:e}=this.model,i=(0,_.resolve_angle)(t,e),s=null!=this.layout?this.layout:this.plot_view.frame,l=this.coordinates.x_scale,n=this.coordinates.y_scale;let o=\"data\"==this.model.x_units?l.compute(this.model.x):s.bbox.xview.compute(this.model.x),a=\"data\"==this.model.y_units?n.compute(this.model.y):s.bbox.yview.compute(this.model.y);o+=this.model.x_offset,a-=this.model.y_offset;(\"canvas\"==this.model.render_mode?this._canvas_text.bind(this):this._css_text.bind(this))(this.layer.ctx,this.model.text,o,a,i)}}i.LabelView=c,c.__name__=\"LabelView\";class x extends a.TextAnnotation{constructor(t){super(t)}}i.Label=x,o=x,x.__name__=\"Label\",o.prototype.default_view=c,o.mixins([u.Text,[\"border_\",u.Line],[\"background_\",u.Fill]]),o.define((({Number:t,String:e,Angle:i})=>({x:[t],x_units:[d.SpatialUnits,\"data\"],y:[t],y_units:[d.SpatialUnits,\"data\"],text:[e,\"\"],angle:[i,0],angle_units:[d.AngleUnits,\"rad\"],x_offset:[t,0],y_offset:[t,0]}))),o.override({background_fill_color:null,border_line_color:null})},\n function _(t,e,s,i,l){i();const o=t(1);var a;const r=t(69),n=(0,o.__importStar)(t(48)),d=t(20),_=t(43),c=t(120),h=(0,o.__importStar)(t(18)),u=t(11);class v extends r.DataAnnotationView{set_data(t){var e;if(super.set_data(t),null===(e=this.els)||void 0===e||e.forEach((t=>(0,_.remove)(t))),\"css\"==this.model.render_mode){const t=this.els=[...this.text].map((()=>(0,_.div)({style:{display:\"none\"}})));for(const e of t)this.plot_view.canvas_view.add_overlay(e)}else delete this.els}remove(){var t;null===(t=this.els)||void 0===t||t.forEach((t=>(0,_.remove)(t))),super.remove()}_rerender(){\"css\"==this.model.render_mode?this.render():this.request_render()}map_data(){const{x_scale:t,y_scale:e}=this.coordinates,s=null!=this.layout?this.layout:this.plot_view.frame;this.sx=\"data\"==this.model.x_units?t.v_compute(this._x):s.bbox.xview.v_compute(this._x),this.sy=\"data\"==this.model.y_units?e.v_compute(this._y):s.bbox.yview.v_compute(this._y)}paint(){const t=\"canvas\"==this.model.render_mode?this._v_canvas_text.bind(this):this._v_css_text.bind(this),{ctx:e}=this.layer;for(let s=0,i=this.text.length;s{switch(this.visuals.text.text_align.get(e)){case\"left\":return[\"left\",\"0%\"];case\"center\":return[\"center\",\"-50%\"];case\"right\":return[\"right\",\"-100%\"]}})(),[d,c]=(()=>{switch(this.visuals.text.text_baseline.get(e)){case\"top\":return[\"top\",\"0%\"];case\"middle\":return[\"center\",\"-50%\"];case\"bottom\":return[\"bottom\",\"-100%\"];default:return[\"center\",\"-50%\"]}})();let h=`translate(${n}, ${c})`;o&&(h+=`rotate(${o}rad)`),a.style.transformOrigin=`${r} ${d}`,a.style.transform=h,this.layout,this.visuals.background_fill.doit&&(this.visuals.background_fill.set_vectorize(t,e),a.style.backgroundColor=t.fillStyle),this.visuals.border_line.doit&&(this.visuals.border_line.set_vectorize(t,e),a.style.borderStyle=t.lineDash.length<2?\"solid\":\"dashed\",a.style.borderWidth=`${t.lineWidth}px`,a.style.borderColor=t.strokeStyle),(0,_.display)(a)}}s.LabelSetView=v,v.__name__=\"LabelSetView\";class x extends r.DataAnnotation{constructor(t){super(t)}}s.LabelSet=x,a=x,x.__name__=\"LabelSet\",a.prototype.default_view=v,a.mixins([n.TextVector,[\"border_\",n.LineVector],[\"background_\",n.FillVector]]),a.define((()=>({x:[h.XCoordinateSpec,{field:\"x\"}],y:[h.YCoordinateSpec,{field:\"y\"}],x_units:[d.SpatialUnits,\"data\"],y_units:[d.SpatialUnits,\"data\"],text:[h.StringSpec,{field:\"text\"}],angle:[h.AngleSpec,0],x_offset:[h.NumberSpec,{value:0}],y_offset:[h.NumberSpec,{value:0}],render_mode:[d.RenderMode,\"canvas\"]}))),a.override({background_fill_color:null,border_line_color:null})},\n function _(t,e,i,l,s){l();const n=t(1);var o;const h=t(40),a=t(215),_=t(20),r=(0,n.__importStar)(t(48)),d=t(15),c=t(123),g=t(121),m=t(65),b=t(9),f=t(8),u=t(11);class x extends h.AnnotationView{update_layout(){const{panel:t}=this;this.layout=null!=t?new c.SideLayout(t,(()=>this.get_size())):void 0}cursor(t,e){return\"none\"==this.model.click_policy?null:\"pointer\"}get legend_padding(){return null!=this.model.border_line_color?this.model.padding:0}connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.request_render())),this.connect(this.model.item_change,(()=>this.request_render()))}compute_legend_bbox(){const t=this.model.get_legend_names(),{glyph_height:e,glyph_width:i}=this.model,{label_height:l,label_width:s}=this.model;this.max_label_height=(0,b.max)([(0,g.font_metrics)(this.visuals.label_text.font_value()).height,l,e]);const{ctx:n}=this.layer;n.save(),this.visuals.label_text.set_value(n),this.text_widths=new Map;for(const e of t)this.text_widths.set(e,(0,b.max)([n.measureText(e).width,s]));this.visuals.title_text.set_value(n),this.title_height=this.model.title?(0,g.font_metrics)(this.visuals.title_text.font_value()).height+this.model.title_standoff:0,this.title_width=this.model.title?n.measureText(this.model.title).width:0,n.restore();const o=Math.max((0,b.max)([...this.text_widths.values()]),0),h=this.model.margin,{legend_padding:a}=this,_=this.model.spacing,{label_standoff:r}=this.model;let d,c;if(\"vertical\"==this.model.orientation)d=t.length*this.max_label_height+Math.max(t.length-1,0)*_+2*a+this.title_height,c=(0,b.max)([o+i+r+2*a,this.title_width+2*a]);else{let e=2*a+Math.max(t.length-1,0)*_;for(const[,t]of this.text_widths)e+=(0,b.max)([t,s])+i+r;c=(0,b.max)([this.title_width+2*a,e]),d=this.max_label_height+this.title_height+2*a}const x=null!=this.layout?this.layout:this.plot_view.frame,[p,w]=x.bbox.ranges,{location:v}=this.model;let y,k;if((0,f.isString)(v))switch(v){case\"top_left\":y=p.start+h,k=w.start+h;break;case\"top\":case\"top_center\":y=(p.end+p.start)/2-c/2,k=w.start+h;break;case\"top_right\":y=p.end-h-c,k=w.start+h;break;case\"bottom_right\":y=p.end-h-c,k=w.end-h-d;break;case\"bottom\":case\"bottom_center\":y=(p.end+p.start)/2-c/2,k=w.end-h-d;break;case\"bottom_left\":y=p.start+h,k=w.end-h-d;break;case\"left\":case\"center_left\":y=p.start+h,k=(w.end+w.start)/2-d/2;break;case\"center\":case\"center_center\":y=(p.end+p.start)/2-c/2,k=(w.end+w.start)/2-d/2;break;case\"right\":case\"center_right\":y=p.end-h-c,k=(w.end+w.start)/2-d/2}else if((0,f.isArray)(v)&&2==v.length){const[t,e]=v;y=x.bbox.xview.compute(t),k=x.bbox.yview.compute(e)-d}else(0,u.unreachable)();return new m.BBox({left:y,top:k,width:c,height:d})}interactive_bbox(){return this.compute_legend_bbox()}interactive_hit(t,e){return this.interactive_bbox().contains(t,e)}on_hit(t,e){let i;const{glyph_width:l}=this.model,{legend_padding:s}=this,n=this.model.spacing,{label_standoff:o}=this.model;let h=i=s;const a=this.compute_legend_bbox(),_=\"vertical\"==this.model.orientation;for(const r of this.model.items){const d=r.get_labels_list_from_label_prop();for(const c of d){const d=a.x+h,g=a.y+i+this.title_height;let b,f;[b,f]=_?[a.width-2*s,this.max_label_height]:[this.text_widths.get(c)+l+o,this.max_label_height];if(new m.BBox({left:d,top:g,width:b,height:f}).contains(t,e)){switch(this.model.click_policy){case\"hide\":for(const t of r.renderers)t.visible=!t.visible;break;case\"mute\":for(const t of r.renderers)t.muted=!t.muted}return!0}_?i+=this.max_label_height+n:h+=this.text_widths.get(c)+l+o+n}}return!1}_render(){if(0==this.model.items.length)return;if(!(0,b.some)(this.model.items,(t=>t.visible)))return;for(const t of this.model.items)t.legend=this.model;const{ctx:t}=this.layer,e=this.compute_legend_bbox();t.save(),this._draw_legend_box(t,e),this._draw_legend_items(t,e),this._draw_title(t,e),t.restore()}_draw_legend_box(t,e){t.beginPath(),t.rect(e.x,e.y,e.width,e.height),this.visuals.background_fill.apply(t),this.visuals.border_line.apply(t)}_draw_legend_items(t,e){const{glyph_width:i,glyph_height:l}=this.model,{legend_padding:s}=this,n=this.model.spacing,{label_standoff:o}=this.model;let h=s,a=s;const _=\"vertical\"==this.model.orientation;for(const r of this.model.items){if(!r.visible)continue;const d=r.get_labels_list_from_label_prop(),c=r.get_field_from_label_prop();if(0==d.length)continue;const g=(()=>{switch(this.model.click_policy){case\"none\":return!0;case\"hide\":return(0,b.every)(r.renderers,(t=>t.visible));case\"mute\":return(0,b.every)(r.renderers,(t=>!t.muted))}})();for(const m of d){const d=e.x+h,b=e.y+a+this.title_height,f=d+i,u=b+l;_?a+=this.max_label_height+n:h+=this.text_widths.get(m)+i+o+n,this.visuals.label_text.set_value(t),t.fillText(m,f+o,b+this.max_label_height/2);for(const e of r.renderers){const i=this.plot_view.renderer_view(e);null==i||i.draw_legend(t,d,f,b,u,c,m,r.index)}if(!g){let l,n;[l,n]=_?[e.width-2*s,this.max_label_height]:[this.text_widths.get(m)+i+o,this.max_label_height],t.beginPath(),t.rect(d,b,l,n),this.visuals.inactive_fill.set_value(t),t.fill()}}}}_draw_title(t,e){const{title:i}=this.model;i&&this.visuals.title_text.doit&&(t.save(),t.translate(e.x0,e.y0+this.title_height),this.visuals.title_text.set_value(t),t.fillText(i,this.legend_padding,this.legend_padding-this.model.title_standoff),t.restore())}_get_size(){const{width:t,height:e}=this.compute_legend_bbox();return{width:t+2*this.model.margin,height:e+2*this.model.margin}}}i.LegendView=x,x.__name__=\"LegendView\";class p extends h.Annotation{constructor(t){super(t)}initialize(){super.initialize(),this.item_change=new d.Signal0(this,\"item_change\")}get_legend_names(){const t=[];for(const e of this.items){const i=e.get_labels_list_from_label_prop();t.push(...i)}return t}}i.Legend=p,o=p,p.__name__=\"Legend\",o.prototype.default_view=x,o.mixins([[\"label_\",r.Text],[\"title_\",r.Text],[\"inactive_\",r.Fill],[\"border_\",r.Line],[\"background_\",r.Fill]]),o.define((({Number:t,String:e,Array:i,Tuple:l,Or:s,Ref:n,Nullable:o})=>({orientation:[_.Orientation,\"vertical\"],location:[s(_.LegendLocation,l(t,t)),\"top_right\"],title:[o(e),null],title_standoff:[t,5],label_standoff:[t,5],glyph_height:[t,20],glyph_width:[t,20],label_height:[t,20],label_width:[t,20],margin:[t,10],padding:[t,10],spacing:[t,3],items:[i(n(a.LegendItem)),[]],click_policy:[_.LegendClickPolicy,\"none\"]}))),o.override({border_line_color:\"#e5e5e5\",border_line_alpha:.5,border_line_width:1,background_fill_color:\"#ffffff\",background_fill_alpha:.95,inactive_fill_color:\"white\",inactive_fill_alpha:.7,label_text_font_size:\"13px\",label_text_baseline:\"middle\",title_text_font_size:\"13px\",title_text_font_style:\"italic\"})},\n function _(e,r,l,n,t){n();const i=e(1);var s;const o=e(53),a=e(175),_=e(70),u=e(216),d=(0,i.__importStar)(e(18)),c=e(19),f=e(9);class h extends o.Model{constructor(e){super(e)}_check_data_sources_on_renderers(){if(null!=this.get_field_from_label_prop()){if(this.renderers.length<1)return!1;const e=this.renderers[0].data_source;if(null!=e)for(const r of this.renderers)if(r.data_source!=e)return!1}return!0}_check_field_label_on_data_source(){const e=this.get_field_from_label_prop();if(null!=e){if(this.renderers.length<1)return!1;const r=this.renderers[0].data_source;if(null!=r&&!(0,f.includes)(r.columns(),e))return!1}return!0}initialize(){super.initialize(),this.legend=null,this.connect(this.change,(()=>{var e;return null===(e=this.legend)||void 0===e?void 0:e.item_change.emit()}));this._check_data_sources_on_renderers()||c.logger.error(\"Non matching data sources on legend item renderers\");this._check_field_label_on_data_source()||c.logger.error(`Bad column name on label: ${this.label}`)}get_field_from_label_prop(){const{label:e}=this;return(0,u.isField)(e)?e.field:null}get_labels_list_from_label_prop(){if(!this.visible)return[];if((0,u.isValue)(this.label)){const{value:e}=this.label;return null!=e?[e]:[]}const e=this.get_field_from_label_prop();if(null!=e){let r;if(!this.renderers[0]||null==this.renderers[0].data_source)return[\"No source found\"];if(r=this.renderers[0].data_source,r instanceof _.ColumnarDataSource){const l=r.get_column(e);return null!=l?(0,f.uniq)(Array.from(l)):[\"Invalid field\"]}}return[]}}l.LegendItem=h,s=h,h.__name__=\"LegendItem\",s.define((({Boolean:e,Int:r,Array:l,Ref:n,Nullable:t})=>({label:[d.NullStringSpec,null],renderers:[l(n(a.GlyphRenderer)),[]],index:[t(r),null],visible:[e,!0]})))},\n function _(i,n,e,t,u){t();const c=i(8);e.isValue=function(i){return(0,c.isPlainObject)(i)&&\"value\"in i},e.isField=function(i){return(0,c.isPlainObject)(i)&&\"field\"in i},e.isExpr=function(i){return(0,c.isPlainObject)(i)&&\"expr\"in i}},\n function _(t,n,e,s,i){s();const o=t(1);var a;const l=t(40),c=(0,o.__importStar)(t(48)),r=t(20);class _ extends l.AnnotationView{connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.request_render()))}_render(){const{xs:t,ys:n}=this.model;if(t.length!=n.length)return;const e=t.length;if(e<3)return;const{frame:s}=this.plot_view,{ctx:i}=this.layer,o=this.coordinates.x_scale,a=this.coordinates.y_scale,{screen:l}=this.model;function c(t,n,e,s){return l?t:\"data\"==n?e.v_compute(t):s.v_compute(t)}const r=c(t,this.model.xs_units,o,s.bbox.xview),_=c(n,this.model.ys_units,a,s.bbox.yview);i.beginPath();for(let t=0;t({xs:[n(t),[]],xs_units:[r.SpatialUnits,\"data\"],ys:[n(t),[]],ys_units:[r.SpatialUnits,\"data\"]}))),a.internal((({Boolean:t})=>({screen:[t,!1]}))),a.override({fill_color:\"#fff9ba\",fill_alpha:.4,line_color:\"#cccccc\",line_alpha:.3})},\n function _(e,t,n,o,i){o();const s=e(1);var l;const r=e(40),c=(0,s.__importStar)(e(48));class a extends r.AnnotationView{connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.request_render()))}_render(){const{gradient:e,y_intercept:t}=this.model;if(null==e||null==t)return;const{frame:n}=this.plot_view,o=this.coordinates.x_scale,i=this.coordinates.y_scale;let s,l,r,c;if(0==e)s=i.compute(t),l=s,r=n.bbox.left,c=r+n.bbox.width;else{s=n.bbox.top,l=s+n.bbox.height;const a=(i.invert(s)-t)/e,_=(i.invert(l)-t)/e;r=o.compute(a),c=o.compute(_)}const{ctx:a}=this.layer;a.save(),a.beginPath(),this.visuals.line.set_value(a),a.moveTo(r,s),a.lineTo(c,l),a.stroke(),a.restore()}}n.SlopeView=a,a.__name__=\"SlopeView\";class _ extends r.Annotation{constructor(e){super(e)}}n.Slope=_,l=_,_.__name__=\"Slope\",l.prototype.default_view=a,l.mixins(c.Line),l.define((({Number:e,Nullable:t})=>({gradient:[t(e),null],y_intercept:[t(e),null]}))),l.override({line_color:\"black\"})},\n function _(e,t,i,o,n){o();const s=e(1);var l;const a=e(40),r=(0,s.__importStar)(e(48)),c=e(20);class d extends a.AnnotationView{connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.plot_view.request_paint(this)))}_render(){const{location:e}=this.model;if(null==e)return;const{frame:t}=this.plot_view,i=this.coordinates.x_scale,o=this.coordinates.y_scale,n=(t,i)=>\"data\"==this.model.location_units?t.compute(e):this.model.for_hover?e:i.compute(e);let s,l,a,r;\"width\"==this.model.dimension?(a=n(o,t.bbox.yview),l=t.bbox.left,r=t.bbox.width,s=this.model.line_width):(a=t.bbox.top,l=n(i,t.bbox.xview),r=this.model.line_width,s=t.bbox.height);const{ctx:c}=this.layer;c.save(),c.beginPath(),this.visuals.line.set_value(c),c.moveTo(l,a),\"width\"==this.model.dimension?c.lineTo(l+r,a):c.lineTo(l,a+s),c.stroke(),c.restore()}}i.SpanView=d,d.__name__=\"SpanView\";class _ extends a.Annotation{constructor(e){super(e)}}i.Span=_,l=_,_.__name__=\"Span\",l.prototype.default_view=d,l.mixins(r.Line),l.define((({Number:e,Nullable:t})=>({render_mode:[c.RenderMode,\"canvas\"],location:[t(e),null],location_units:[c.SpatialUnits,\"data\"],dimension:[c.Dimension,\"width\"]}))),l.internal((({Boolean:e})=>({for_hover:[e,!1]}))),l.override({line_color:\"black\"})},\n function _(i,e,t,o,l){var s;o();const a=i(40),_=i(221),n=i(113),r=i(43),h=i(123),b=i(65);class v extends a.AnnotationView{constructor(){super(...arguments),this._invalidate_toolbar=!0,this._previous_bbox=new b.BBox}update_layout(){this.layout=new h.SideLayout(this.panel,(()=>this.get_size()),!0)}initialize(){super.initialize(),this.el=(0,r.div)(),this.plot_view.canvas_view.add_event(this.el)}async lazy_initialize(){await super.lazy_initialize(),this._toolbar_view=await(0,n.build_view)(this.model.toolbar,{parent:this}),this.plot_view.visibility_callbacks.push((i=>this._toolbar_view.set_visibility(i)))}remove(){this._toolbar_view.remove(),(0,r.remove)(this.el),super.remove()}render(){this.model.visible||(0,r.undisplay)(this.el),super.render()}_render(){const{bbox:i}=this.layout;this._previous_bbox.equals(i)||((0,r.position)(this.el,i),this._previous_bbox=i,this._invalidate_toolbar=!0),this._invalidate_toolbar&&(this.el.style.position=\"absolute\",this.el.style.overflow=\"hidden\",(0,r.empty)(this.el),this.el.appendChild(this._toolbar_view.el),this._toolbar_view.layout.bbox=i,this._toolbar_view.render(),this._invalidate_toolbar=!1),(0,r.display)(this.el)}_get_size(){const{tools:i,logo:e}=this.model.toolbar;return{width:30*i.length+(null!=e?25:0)+15,height:30}}}t.ToolbarPanelView=v,v.__name__=\"ToolbarPanelView\";class d extends a.Annotation{constructor(i){super(i)}}t.ToolbarPanel=d,s=d,d.__name__=\"ToolbarPanel\",s.prototype.default_view=v,s.define((({Ref:i})=>({toolbar:[i(_.Toolbar)]})))},\n function _(t,e,s,i,o){var c;i();const n=t(8),a=t(9),l=t(13),r=t(222),_=t(223),u=t(232),p=t(233);function v(t){switch(t){case\"tap\":return\"active_tap\";case\"pan\":return\"active_drag\";case\"pinch\":case\"scroll\":return\"active_scroll\";case\"multi\":return\"active_multi\"}return null}function h(t){return\"tap\"==t||\"pan\"==t}s.Drag=r.Tool,s.Inspection=r.Tool,s.Scroll=r.Tool,s.Tap=r.Tool;class f extends p.ToolbarBase{constructor(t){super(t)}connect_signals(){super.connect_signals();const{tools:t,active_drag:e,active_inspect:s,active_scroll:i,active_tap:o,active_multi:c}=this.properties;this.on_change([t,e,s,i,o,c],(()=>this._init_tools()))}_init_tools(){if(super._init_tools(),\"auto\"==this.active_inspect);else if(this.active_inspect instanceof u.InspectTool){let t=!1;for(const e of this.inspectors)e!=this.active_inspect?e.active=!1:t=!0;t||(this.active_inspect=null)}else if((0,n.isArray)(this.active_inspect)){const t=(0,a.intersection)(this.active_inspect,this.inspectors);t.length!=this.active_inspect.length&&(this.active_inspect=t);for(const t of this.inspectors)(0,a.includes)(this.active_inspect,t)||(t.active=!1)}else if(null==this.active_inspect)for(const t of this.inspectors)t.active=!1;const t=t=>{t.active?this._active_change(t):t.active=!0};for(const t of(0,l.values)(this.gestures)){t.tools=(0,a.sort_by)(t.tools,(t=>t.default_order));for(const e of t.tools)this.connect(e.properties.active.change,(()=>this._active_change(e)))}for(const[e,s]of(0,l.entries)(this.gestures)){const i=v(e);if(i){const o=this[i];\"auto\"==o?0!=s.tools.length&&h(e)&&t(s.tools[0]):null!=o&&((0,a.includes)(this.tools,o)?t(o):this[i]=null)}}}}s.Toolbar=f,c=f,f.__name__=\"Toolbar\",c.prototype.default_view=p.ToolbarBaseView,c.define((({Or:t,Ref:e,Auto:i,Null:o})=>({active_drag:[t(e(s.Drag),i,o),\"auto\"],active_inspect:[t(e(s.Inspection),i,o),\"auto\"],active_scroll:[t(e(s.Scroll),i,o),\"auto\"],active_tap:[t(e(s.Tap),i,o),\"auto\"],active_multi:[t(e(_.GestureTool),i,o),\"auto\"]})))},\n function _(t,e,n,o,s){var i;o();const a=t(42),r=t(9),l=t(53);class c extends a.View{get plot_view(){return this.parent}get plot_model(){return this.parent.model}connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,(()=>{this.model.active?this.activate():this.deactivate()}))}activate(){}deactivate(){}}n.ToolView=c,c.__name__=\"ToolView\";class _ extends l.Model{constructor(t){super(t)}get synthetic_renderers(){return[]}_get_dim_limits([t,e],[n,o],s,i){const a=s.bbox.h_range;let l;\"width\"==i||\"both\"==i?(l=[(0,r.min)([t,n]),(0,r.max)([t,n])],l=[(0,r.max)([l[0],a.start]),(0,r.min)([l[1],a.end])]):l=[a.start,a.end];const c=s.bbox.v_range;let _;return\"height\"==i||\"both\"==i?(_=[(0,r.min)([e,o]),(0,r.max)([e,o])],_=[(0,r.max)([_[0],c.start]),(0,r.min)([_[1],c.end])]):_=[c.start,c.end],[l,_]}static register_alias(t,e){this.prototype._known_aliases.set(t,e)}static from_string(t){const e=this.prototype._known_aliases.get(t);if(null!=e)return e();{const e=[...this.prototype._known_aliases.keys()];throw new Error(`unexpected tool name '${t}', possible tools are ${e.join(\", \")}`)}}}n.Tool=_,i=_,_.__name__=\"Tool\",i.prototype._known_aliases=new Map,i.define((({String:t,Nullable:e})=>({description:[e(t),null]}))),i.internal((({Boolean:t})=>({active:[t,!1]})))},\n function _(e,o,t,s,n){s();const u=e(224),_=e(231);class l extends u.ButtonToolView{}t.GestureToolView=l,l.__name__=\"GestureToolView\";class i extends u.ButtonTool{constructor(e){super(e),this.button_view=_.OnOffButtonView}}t.GestureTool=i,i.__name__=\"GestureTool\"},\n function _(t,e,o,s,i){s();const n=t(1);var l;const r=(0,n.__importDefault)(t(225)),a=t(226),u=t(222),h=t(43),_=t(34),d=t(8),c=t(9),m=(0,n.__importStar)(t(227)),p=m,v=(0,n.__importDefault)(t(228)),f=(0,n.__importDefault)(t(229)),g=t(230);class b extends a.DOMView{initialize(){super.initialize();const t=this.model.menu;if(null!=t){const e=this.parent.model.toolbar_location,o=\"left\"==e||\"above\"==e,s=this.parent.model.horizontal?\"vertical\":\"horizontal\";this._menu=new g.ContextMenu(o?(0,c.reversed)(t):t,{orientation:s,prevent_hide:t=>t.target==this.el})}this._hammer=new r.default(this.el,{touchAction:\"auto\",inputClass:r.default.TouchMouseInput}),this.connect(this.model.change,(()=>this.render())),this._hammer.on(\"tap\",(t=>{var e;(null===(e=this._menu)||void 0===e?void 0:e.is_open)?this._menu.hide():t.target==this.el&&this._clicked()})),this._hammer.on(\"press\",(()=>this._pressed())),this.el.addEventListener(\"keydown\",(t=>{t.keyCode==h.Keys.Enter&&this._clicked()}))}remove(){var t;this._hammer.destroy(),null===(t=this._menu)||void 0===t||t.remove(),super.remove()}styles(){return[...super.styles(),m.default,v.default,f.default]}css_classes(){return super.css_classes().concat(p.toolbar_button)}render(){(0,h.empty)(this.el);const t=this.model.computed_icon;(0,d.isString)(t)&&((0,_.startsWith)(t,\"data:image\")?this.el.style.backgroundImage=`url(\"${t}\")`:this.el.classList.add(t)),this.el.title=this.model.tooltip,this.el.tabIndex=0,null!=this._menu&&this.root.el.appendChild(this._menu.el)}_pressed(){var t;const e=(()=>{switch(this.parent.model.toolbar_location){case\"right\":return{left_of:this.el};case\"left\":return{right_of:this.el};case\"above\":return{below:this.el};case\"below\":return{above:this.el}}})();null===(t=this._menu)||void 0===t||t.toggle(e)}}o.ButtonToolButtonView=b,b.__name__=\"ButtonToolButtonView\";class w extends u.ToolView{}o.ButtonToolView=w,w.__name__=\"ButtonToolView\";class y extends u.Tool{constructor(t){super(t)}_get_dim_tooltip(t){const{description:e,tool_name:o}=this;return null!=e?e:\"both\"==t?o:`${o} (${\"width\"==t?\"x\":\"y\"}-axis)`}get tooltip(){var t;return null!==(t=this.description)&&void 0!==t?t:this.tool_name}get computed_icon(){return this.icon}get menu(){return null}}o.ButtonTool=y,l=y,y.__name__=\"ButtonTool\",l.internal((({Boolean:t})=>({disabled:[t,!1]})))},\n function _(t,e,i,n,r){\n /*! 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i,n,s=e[0].toUpperCase()+e.slice(1),a=0;a1&&!i.firstMultiple?i.firstMultiple=H(e):1===s&&(i.firstMultiple=!1);var o=i.firstInput,a=i.firstMultiple,h=a?a.center:o.center,l=e.center=L(n);e.timeStamp=c(),e.deltaTime=e.timeStamp-o.timeStamp,e.angle=G(h,l),e.distance=j(h,l),function(t,e){var i=e.center,n=t.offsetDelta||{},r=t.prevDelta||{},s=t.prevInput||{};1!==e.eventType&&4!==s.eventType||(r=t.prevDelta={x:s.deltaX||0,y:s.deltaY||0},n=t.offsetDelta={x:i.x,y:i.y});e.deltaX=r.x+(i.x-n.x),e.deltaY=r.y+(i.y-n.y)}(i,e),e.offsetDirection=V(e.deltaX,e.deltaY);var p=U(e.deltaTime,e.deltaX,e.deltaY);e.overallVelocityX=p.x,e.overallVelocityY=p.y,e.overallVelocity=u(p.x)>u(p.y)?p.x:p.y,e.scale=a?(f=a.pointers,v=n,j(v[0],v[1],W)/j(f[0],f[1],W)):1,e.rotation=a?function(t,e){return G(e[1],e[0],W)+G(t[1],t[0],W)}(a.pointers,n):0,e.maxPointers=i.prevInput?e.pointers.length>i.prevInput.maxPointers?e.pointers.length:i.prevInput.maxPointers:e.pointers.length,function(t,e){var i,n,s,o,a=t.lastInterval||e,h=e.timeStamp-a.timeStamp;if(8!=e.eventType&&(h>25||a.velocity===r)){var c=e.deltaX-a.deltaX,l=e.deltaY-a.deltaY,p=U(h,c,l);n=p.x,s=p.y,i=u(p.x)>u(p.y)?p.x:p.y,o=V(c,l),t.lastInterval=e}else i=a.velocity,n=a.velocityX,s=a.velocityY,o=a.direction;e.velocity=i,e.velocityX=n,e.velocityY=s,e.direction=o}(i,e);var f,v;var d=t.element;_(e.srcEvent.target,d)&&(d=e.srcEvent.target);e.target=d}(t,i),t.emit(\"hammer.input\",i),t.recognize(i),t.session.prevInput=i}function H(t){for(var e=[],i=0;i=u(e)?t<0?2:4:e<0?8:16}function j(t,e,i){i||(i=F);var n=e[i[0]]-t[i[0]],r=e[i[1]]-t[i[1]];return Math.sqrt(n*n+r*r)}function G(t,e,i){i||(i=F);var n=e[i[0]]-t[i[0]],r=e[i[1]]-t[i[1]];return 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e=nt[t.type];if(1===e&&(this.started=!0),this.started){var i=at.call(this,t,e);12&e&&i[0].length-i[1].length==0&&(this.started=!1),this.callback(this.manager,e,{pointers:i[0],changedPointers:i[1],pointerType:N,srcEvent:t})}}});var ht={touchstart:1,touchmove:2,touchend:4,touchcancel:8},ut=\"touchstart touchmove touchend touchcancel\";function ct(){this.evTarget=ut,this.targetIds={},q.apply(this,arguments)}function lt(t,e){var i=P(t.touches),n=this.targetIds;if(3&e&&1===i.length)return n[i[0].identifier]=!0,[i,i];var r,s,o=P(t.changedTouches),a=[],h=this.target;if(s=i.filter((function(t){return _(t.target,h)})),1===e)for(r=0;r-1&&n.splice(t,1)}),2500)}}function dt(t){for(var e=t.srcEvent.clientX,i=t.srcEvent.clientY,n=0;n-1&&this.requireFail.splice(e,1),this},hasRequireFailures:function(){return this.requireFail.length>0},canRecognizeWith:function(t){return!!this.simultaneous[t.id]},emit:function(t){var e=this,i=this.state;function n(i){e.manager.emit(i,t)}i<8&&n(e.options.event+Dt(i)),n(e.options.event),t.additionalEvent&&n(t.additionalEvent),i>=8&&n(e.options.event+Dt(i))},tryEmit:function(t){if(this.canEmit())return this.emit(t);this.state=bt},canEmit:function(){for(var t=0;te.threshold&&r&e.direction},attrTest:function(t){return Ot.prototype.attrTest.call(this,t)&&(2&this.state||!(2&this.state)&&this.directionTest(t))},emit:function(t){this.pX=t.deltaX,this.pY=t.deltaY;var e=xt(t.direction);e&&(t.additionalEvent=this.options.event+e),this._super.emit.call(this,t)}}),g(Mt,Ot,{defaults:{event:\"pinch\",threshold:0,pointers:2},getTouchAction:function(){return[It]},attrTest:function(t){return this._super.attrTest.call(this,t)&&(Math.abs(t.scale-1)>this.options.threshold||2&this.state)},emit:function(t){if(1!==t.scale){var e=t.scale<1?\"in\":\"out\";t.additionalEvent=this.options.event+e}this._super.emit.call(this,t)}}),g(zt,Pt,{defaults:{event:\"press\",pointers:1,time:251,threshold:9},getTouchAction:function(){return[yt]},process:function(t){var e=this.options,i=t.pointers.length===e.pointers,n=t.distancee.time;if(this._input=t,!n||!i||12&t.eventType&&!r)this.reset();else if(1&t.eventType)this.reset(),this._timer=l((function(){this.state=8,this.tryEmit()}),e.time,this);else if(4&t.eventType)return 8;return bt},reset:function(){clearTimeout(this._timer)},emit:function(t){8===this.state&&(t&&4&t.eventType?this.manager.emit(this.options.event+\"up\",t):(this._input.timeStamp=c(),this.manager.emit(this.options.event,this._input)))}}),g(Nt,Ot,{defaults:{event:\"rotate\",threshold:0,pointers:2},getTouchAction:function(){return[It]},attrTest:function(t){return this._super.attrTest.call(this,t)&&(Math.abs(t.rotation)>this.options.threshold||2&this.state)}}),g(Xt,Ot,{defaults:{event:\"swipe\",threshold:10,velocity:.3,direction:30,pointers:1},getTouchAction:function(){return Rt.prototype.getTouchAction.call(this)},attrTest:function(t){var e,i=this.options.direction;return 30&i?e=t.overallVelocity:6&i?e=t.overallVelocityX:i&Y&&(e=t.overallVelocityY),this._super.attrTest.call(this,t)&&i&t.offsetDirection&&t.distance>this.options.threshold&&t.maxPointers==this.options.pointers&&u(e)>this.options.velocity&&4&t.eventType},emit:function(t){var e=xt(t.offsetDirection);e&&this.manager.emit(this.options.event+e,t),this.manager.emit(this.options.event,t)}}),g(Yt,Pt,{defaults:{event:\"tap\",pointers:1,taps:1,interval:300,time:250,threshold:9,posThreshold:10},getTouchAction:function(){return[Et]},process:function(t){var e=this.options,i=t.pointers.length===e.pointers,n=t.distance .bk-divider{cursor:default;overflow:hidden;background-color:#e5e5e5;}.bk-root .bk-context-menu.bk-horizontal > .bk-divider{width:1px;margin:5px 0;}.bk-root .bk-context-menu.bk-vertical > .bk-divider{height:1px;margin:0 5px;}.bk-root .bk-context-menu > :not(.bk-divider){border:1px solid transparent;}.bk-root .bk-context-menu > :not(.bk-divider).bk-active{border-color:#26aae1;}.bk-root .bk-context-menu > :not(.bk-divider):hover{background-color:#f9f9f9;}.bk-root .bk-context-menu > :not(.bk-divider):focus,.bk-root .bk-context-menu > :not(.bk-divider):focus-visible{outline:1px dotted #26aae1;outline-offset:-1px;}.bk-root .bk-context-menu > :not(.bk-divider)::-moz-focus-inner{border:0;}.bk-root .bk-context-menu.bk-horizontal > :not(.bk-divider):first-child{border-top-left-radius:4px;border-bottom-left-radius:4px;}.bk-root .bk-context-menu.bk-horizontal > :not(.bk-divider):last-child{border-top-right-radius:4px;border-bottom-right-radius:4px;}.bk-root .bk-context-menu.bk-vertical > :not(.bk-divider):first-child{border-top-left-radius:4px;border-top-right-radius:4px;}.bk-root .bk-context-menu.bk-vertical > :not(.bk-divider):last-child{border-bottom-left-radius:4px;border-bottom-right-radius:4px;}.bk-root .bk-menu{position:absolute;left:0;width:100%;z-index:100;cursor:pointer;font-size:12px;background-color:#fff;border:1px solid #ccc;border-radius:4px;box-shadow:0 6px 12px rgba(0, 0, 0, 0.175);}.bk-root .bk-menu.bk-above{bottom:100%;}.bk-root .bk-menu.bk-below{top:100%;}.bk-root .bk-menu > .bk-divider{height:1px;margin:7.5px 0;overflow:hidden;background-color:#e5e5e5;}.bk-root .bk-menu > :not(.bk-divider){padding:6px 12px;}.bk-root .bk-menu > :not(.bk-divider):hover,.bk-root .bk-menu > :not(.bk-divider).bk-active{background-color:#e6e6e6;}.bk-root .bk-caret{display:inline-block;vertical-align:middle;width:0;height:0;margin:0 5px;}.bk-root .bk-caret.bk-down{border-top:4px solid;}.bk-root .bk-caret.bk-up{border-bottom:4px solid;}.bk-root .bk-caret.bk-down,.bk-root .bk-caret.bk-up{border-right:4px solid transparent;border-left:4px solid transparent;}.bk-root .bk-caret.bk-left{border-right:4px solid;}.bk-root .bk-caret.bk-right{border-left:4px solid;}.bk-root .bk-caret.bk-left,.bk-root .bk-caret.bk-right{border-top:4px solid transparent;border-bottom:4px solid transparent;}\"},\n function _(t,e,i,n,o){n();const s=t(1),l=t(43),h=t(9),r=(0,s.__importStar)(t(229));class d{constructor(t,e={}){var i,n;this.items=t,this.el=(0,l.div)(),this._open=!1,this._item_click=t=>{var e;null===(e=t.handler)||void 0===e||e.call(t),this.hide()},this._on_mousedown=t=>{var e;const{target:i}=t;i instanceof Node&&this.el.contains(i)||(null===(e=this.prevent_hide)||void 0===e?void 0:e.call(this,t))||this.hide()},this._on_keydown=t=>{t.keyCode==l.Keys.Esc&&this.hide()},this._on_blur=()=>{this.hide()},this.orientation=null!==(i=e.orientation)&&void 0!==i?i:\"vertical\",this.reversed=null!==(n=e.reversed)&&void 0!==n&&n,this.prevent_hide=e.prevent_hide,(0,l.undisplay)(this.el)}get is_open(){return this._open}get can_open(){return 0!=this.items.length}remove(){(0,l.remove)(this.el),this._unlisten()}_listen(){document.addEventListener(\"mousedown\",this._on_mousedown),document.addEventListener(\"keydown\",this._on_keydown),window.addEventListener(\"blur\",this._on_blur)}_unlisten(){document.removeEventListener(\"mousedown\",this._on_mousedown),document.removeEventListener(\"keydown\",this._on_keydown),window.removeEventListener(\"blur\",this._on_blur)}_position(t){const e=this.el.parentElement;if(null!=e){const i=(()=>{if(\"left_of\"in t){const{left:e,top:i}=t.left_of.getBoundingClientRect();return{right:e,top:i}}if(\"right_of\"in t){const{top:e,right:i}=t.right_of.getBoundingClientRect();return{left:i,top:e}}if(\"below\"in t){const{left:e,bottom:i}=t.below.getBoundingClientRect();return{left:e,top:i}}if(\"above\"in t){const{left:e,top:i}=t.above.getBoundingClientRect();return{left:e,bottom:i}}return t})(),n=e.getBoundingClientRect();this.el.style.left=null!=i.left?i.left-n.left+\"px\":\"\",this.el.style.top=null!=i.top?i.top-n.top+\"px\":\"\",this.el.style.right=null!=i.right?n.right-i.right+\"px\":\"\",this.el.style.bottom=null!=i.bottom?n.bottom-i.bottom+\"px\":\"\"}}render(){var t;(0,l.empty)(this.el,!0),(0,l.classes)(this.el).add(\"bk-context-menu\",`bk-${this.orientation}`);const e=this.reversed?(0,h.reversed)(this.items):this.items;for(const i of e){let e;if(null==i)e=(0,l.div)({class:r.divider});else{if(null!=i.if&&!i.if())continue;if(null!=i.content)e=i.content;else{const n=null!=i.icon?(0,l.div)({class:[\"bk-menu-icon\",i.icon]}):null,o=[(null===(t=i.active)||void 0===t?void 0:t.call(i))?\"bk-active\":null,i.class];e=(0,l.div)({class:o,title:i.tooltip,tabIndex:0},n,i.label,i.content),e.addEventListener(\"click\",(()=>{this._item_click(i)})),e.addEventListener(\"keydown\",(t=>{t.keyCode==l.Keys.Enter&&this._item_click(i)}))}}this.el.appendChild(e)}}show(t){if(0!=this.items.length&&!this._open){if(this.render(),0==this.el.children.length)return;this._position(null!=t?t:{left:0,top:0}),(0,l.display)(this.el),this._listen(),this._open=!0}}hide(){this._open&&(this._open=!1,this._unlisten(),(0,l.undisplay)(this.el))}toggle(t){this._open?this.hide():this.show(t)}}i.ContextMenu=d,d.__name__=\"ContextMenu\"},\n function _(t,e,i,n,o){n();const s=t(1),c=t(224),l=(0,s.__importStar)(t(227)),a=t(43);class _ extends c.ButtonToolButtonView{render(){super.render(),(0,a.classes)(this.el).toggle(l.active,this.model.active)}_clicked(){const{active:t}=this.model;this.model.active=!t}}i.OnOffButtonView=_,_.__name__=\"OnOffButtonView\"},\n function _(e,o,t,n,s){var c;n();const l=e(224),_=e(231);class i extends l.ButtonToolView{}t.InspectToolView=i,i.__name__=\"InspectToolView\";class a extends l.ButtonTool{constructor(e){super(e),this.event_type=\"move\"}}t.InspectTool=a,c=a,a.__name__=\"InspectTool\",c.prototype.button_view=_.OnOffButtonView,c.define((({Boolean:e})=>({toggleable:[e,!0]}))),c.override({active:!0})},\n function _(t,o,e,l,i){l();const s=t(1);var n,a;const r=t(19),c=t(43),h=t(113),_=t(226),u=t(20),v=t(9),d=t(234),p=t(13),b=t(8),g=t(235),f=t(65),m=t(53),w=t(222),y=t(223),T=t(238),z=t(239),x=t(232),B=t(230),C=(0,s.__importStar)(t(227)),k=C,L=(0,s.__importStar)(t(240)),M=L;class S extends m.Model{constructor(t){super(t)}get visible(){var t;return!this.autohide||null!==(t=this._visible)&&void 0!==t&&t}}e.ToolbarViewModel=S,n=S,S.__name__=\"ToolbarViewModel\",n.define((({Boolean:t})=>({autohide:[t,!1]}))),n.internal((({Boolean:t,Nullable:o})=>({_visible:[o(t),null]})));class $ extends _.DOMView{constructor(){super(...arguments),this.layout={bbox:new f.BBox}}initialize(){super.initialize(),this._tool_button_views=new Map,this._toolbar_view_model=new S({autohide:this.model.autohide});const{toolbar_location:t}=this.model,o=\"left\"==t||\"above\"==t,e=this.model.horizontal?\"vertical\":\"horizontal\";this._overflow_menu=new B.ContextMenu([],{orientation:e,reversed:o})}async lazy_initialize(){await super.lazy_initialize(),await this._build_tool_button_views()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.tools.change,(async()=>{await this._build_tool_button_views(),this.render()})),this.connect(this.model.properties.autohide.change,(()=>{this._toolbar_view_model.autohide=this.model.autohide,this._on_visible_change()})),this.connect(this._toolbar_view_model.properties._visible.change,(()=>this._on_visible_change()))}styles(){return[...super.styles(),C.default,L.default]}remove(){(0,h.remove_views)(this._tool_button_views),super.remove()}async _build_tool_button_views(){const t=null!=this.model._proxied_tools?this.model._proxied_tools:this.model.tools;await(0,h.build_views)(this._tool_button_views,t,{parent:this},(t=>t.button_view))}set_visibility(t){t!=this._toolbar_view_model._visible&&(this._toolbar_view_model._visible=t)}_on_visible_change(){const{visible:t}=this._toolbar_view_model;(0,c.classes)(this.el).toggle(k.toolbar_hidden,!t)}render(){(0,c.empty)(this.el),this.el.classList.add(k.toolbar),this.el.classList.add(k[this.model.toolbar_location]),this._toolbar_view_model.autohide=this.model.autohide,this._on_visible_change();const{horizontal:t}=this.model;let o=0;if(null!=this.model.logo){const e=\"grey\"===this.model.logo?M.grey:null,l=(0,c.a)({href:\"https://bokeh.org/\",target:\"_blank\",class:[M.logo,M.logo_small,e]});this.el.appendChild(l);const{width:i,height:s}=l.getBoundingClientRect();o+=t?i:s}for(const[,t]of this._tool_button_views)t.render();const e=[],l=t=>this._tool_button_views.get(t).el,{gestures:i}=this.model;for(const t of(0,p.values)(i))e.push(t.tools.map(l));e.push(this.model.actions.map(l)),e.push(this.model.inspectors.filter((t=>t.toggleable)).map(l));const s=e.filter((t=>0!=t.length)),n=()=>(0,c.div)({class:k.divider}),{bbox:a}=this.layout;let r=!1;this.root.el.appendChild(this._overflow_menu.el);const h=(0,c.div)({class:k.tool_overflow,tabIndex:0},t?\"\\u22ee\":\"\\u22ef\"),_=()=>{const t=(()=>{switch(this.model.toolbar_location){case\"right\":return{left_of:h};case\"left\":return{right_of:h};case\"above\":return{below:h};case\"below\":return{above:h}}})();this._overflow_menu.toggle(t)};h.addEventListener(\"click\",(()=>{_()})),h.addEventListener(\"keydown\",(t=>{t.keyCode==c.Keys.Enter&&_()}));for(const e of(0,d.join)(s,n))if(r)this._overflow_menu.items.push({content:e,class:t?k.right:k.above});else{this.el.appendChild(e);const{width:l,height:i}=e.getBoundingClientRect();if(o+=t?l:i,r=t?o>a.width-15:o>a.height-15,r){this.el.removeChild(e),this.el.appendChild(h);const{items:t}=this._overflow_menu;t.splice(0,t.length),t.push({content:e})}}}update_layout(){}update_position(){}after_layout(){this._has_finished=!0}export(t,o=!0){const e=\"png\"==t?\"canvas\":\"svg\",l=new g.CanvasLayer(e,o);return l.resize(0,0),l}}function V(){return{pan:{tools:[],active:null},scroll:{tools:[],active:null},pinch:{tools:[],active:null},tap:{tools:[],active:null},doubletap:{tools:[],active:null},press:{tools:[],active:null},pressup:{tools:[],active:null},rotate:{tools:[],active:null},move:{tools:[],active:null},multi:{tools:[],active:null}}}e.ToolbarBaseView=$,$.__name__=\"ToolbarBaseView\";class A extends m.Model{constructor(t){super(t)}initialize(){super.initialize(),this._init_tools()}_init_tools(){const t=function(t,o){if(t.length!=o.length)return!0;const e=new Set(o.map((t=>t.id)));return(0,v.some)(t,(t=>!e.has(t.id)))},o=this.tools.filter((t=>t instanceof x.InspectTool));t(this.inspectors,o)&&(this.inspectors=o);const e=this.tools.filter((t=>t instanceof z.HelpTool));t(this.help,e)&&(this.help=e);const l=this.tools.filter((t=>t instanceof T.ActionTool));t(this.actions,l)&&(this.actions=l);const i=(t,o)=>{t in this.gestures||r.logger.warn(`Toolbar: unknown event type '${t}' for tool: ${o}`)},s={pan:{tools:[],active:null},scroll:{tools:[],active:null},pinch:{tools:[],active:null},tap:{tools:[],active:null},doubletap:{tools:[],active:null},press:{tools:[],active:null},pressup:{tools:[],active:null},rotate:{tools:[],active:null},move:{tools:[],active:null},multi:{tools:[],active:null}};for(const t of this.tools)if(t instanceof y.GestureTool&&t.event_type)if((0,b.isString)(t.event_type))s[t.event_type].tools.push(t),i(t.event_type,t);else{s.multi.tools.push(t);for(const o of t.event_type)i(o,t)}for(const o of Object.keys(s)){const e=this.gestures[o];t(e.tools,s[o].tools)&&(e.tools=s[o].tools),e.active&&(0,v.every)(e.tools,(t=>t.id!=e.active.id))&&(e.active=null)}}get horizontal(){return\"above\"===this.toolbar_location||\"below\"===this.toolbar_location}get vertical(){return\"left\"===this.toolbar_location||\"right\"===this.toolbar_location}_active_change(t){const{event_type:o}=t;if(null==o)return;const e=(0,b.isString)(o)?[o]:o;for(const o of e)if(t.active){const e=this.gestures[o].active;null!=e&&t!=e&&(r.logger.debug(`Toolbar: deactivating tool: ${e} for event type '${o}'`),e.active=!1),this.gestures[o].active=t,r.logger.debug(`Toolbar: activating tool: ${t} for event type '${o}'`)}else 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t=this.pixel_ratio;e.scale(t,t),e.translate(.5,.5)}this._clear_webgl()}}_clear_webgl(){const{webgl:e}=this;if(null!=e){const{regl_wrapper:t,canvas:i}=e;t.clear(i.width,i.height)}}compose(){const e=this.create_layer(),{width:t,height:i}=this.bbox;return e.resize(t,i),e.ctx.drawImage(this.primary.canvas,0,0),e.ctx.drawImage(this.overlays.canvas,0,0),e}create_layer(){const{output_backend:e,hidpi:t}=this.model;return new y.CanvasLayer(e,t)}to_blob(){return this.compose().to_blob()}}i.CanvasView=x,x.__name__=\"CanvasView\";class z extends h.HasProps{constructor(e){super(e)}}i.Canvas=z,l=z,z.__name__=\"Canvas\",l.prototype.default_view=x,l.internal((({Boolean:e})=>({hidpi:[e,!0],output_backend:[p.OutputBackend,\"canvas\"]})))},\n function _(t,e,s,n,i){n();const r=t(1),a=(0,r.__importDefault)(t(225)),_=t(15),h=t(19),o=t(43),l=(0,r.__importStar)(t(251)),c=t(252),p=t(9),u=t(8),v=t(27),d=t(230);class g{constructor(t){this.canvas_view=t,this.pan_start=new _.Signal(this,\"pan:start\"),this.pan=new _.Signal(this,\"pan\"),this.pan_end=new _.Signal(this,\"pan:end\"),this.pinch_start=new _.Signal(this,\"pinch:start\"),this.pinch=new _.Signal(this,\"pinch\"),this.pinch_end=new _.Signal(this,\"pinch:end\"),this.rotate_start=new _.Signal(this,\"rotate:start\"),this.rotate=new _.Signal(this,\"rotate\"),this.rotate_end=new _.Signal(this,\"rotate:end\"),this.tap=new _.Signal(this,\"tap\"),this.doubletap=new _.Signal(this,\"doubletap\"),this.press=new _.Signal(this,\"press\"),this.pressup=new _.Signal(this,\"pressup\"),this.move_enter=new _.Signal(this,\"move:enter\"),this.move=new _.Signal(this,\"move\"),this.move_exit=new _.Signal(this,\"move:exit\"),this.scroll=new _.Signal(this,\"scroll\"),this.keydown=new _.Signal(this,\"keydown\"),this.keyup=new _.Signal(this,\"keyup\"),this.hammer=new a.default(this.hit_area,{touchAction:\"auto\",inputClass:a.default.TouchMouseInput}),this._prev_move=null,this._curr_pan=null,this._curr_pinch=null,this._curr_rotate=null,this._configure_hammerjs(),this.hit_area.addEventListener(\"mousemove\",(t=>this._mouse_move(t))),this.hit_area.addEventListener(\"mouseenter\",(t=>this._mouse_enter(t))),this.hit_area.addEventListener(\"mouseleave\",(t=>this._mouse_exit(t))),this.hit_area.addEventListener(\"contextmenu\",(t=>this._context_menu(t))),this.hit_area.addEventListener(\"wheel\",(t=>this._mouse_wheel(t))),document.addEventListener(\"keydown\",this),document.addEventListener(\"keyup\",this),this.menu=new d.ContextMenu([],{prevent_hide:t=>2==t.button&&t.target==this.hit_area}),this.hit_area.appendChild(this.menu.el)}get hit_area(){return this.canvas_view.events_el}destroy(){this.menu.remove(),this.hammer.destroy(),document.removeEventListener(\"keydown\",this),document.removeEventListener(\"keyup\",this)}handleEvent(t){\"keydown\"==t.type?this._key_down(t):\"keyup\"==t.type&&this._key_up(t)}_configure_hammerjs(){this.hammer.get(\"doubletap\").recognizeWith(\"tap\"),this.hammer.get(\"tap\").requireFailure(\"doubletap\"),this.hammer.get(\"doubletap\").dropRequireFailure(\"tap\"),this.hammer.on(\"doubletap\",(t=>this._doubletap(t))),this.hammer.on(\"tap\",(t=>this._tap(t))),this.hammer.on(\"press\",(t=>this._press(t))),this.hammer.on(\"pressup\",(t=>this._pressup(t))),this.hammer.get(\"pan\").set({direction:a.default.DIRECTION_ALL}),this.hammer.on(\"panstart\",(t=>this._pan_start(t))),this.hammer.on(\"pan\",(t=>this._pan(t))),this.hammer.on(\"panend\",(t=>this._pan_end(t))),this.hammer.get(\"pinch\").set({enable:!0}),this.hammer.on(\"pinchstart\",(t=>this._pinch_start(t))),this.hammer.on(\"pinch\",(t=>this._pinch(t))),this.hammer.on(\"pinchend\",(t=>this._pinch_end(t))),this.hammer.get(\"rotate\").set({enable:!0}),this.hammer.on(\"rotatestart\",(t=>this._rotate_start(t))),this.hammer.on(\"rotate\",(t=>this._rotate(t))),this.hammer.on(\"rotateend\",(t=>this._rotate_end(t)))}register_tool(t){const e=t.model.event_type;null!=e&&((0,u.isString)(e)?this._register_tool(t,e):e.forEach(((e,s)=>this._register_tool(t,e,s<1))))}_register_tool(t,e,s=!0){const n=t,{id:i}=n.model,r=t=>e=>{e.id==i&&t(e.e)},a=t=>e=>{t(e.e)};switch(e){case\"pan\":null!=n._pan_start&&n.connect(this.pan_start,r(n._pan_start.bind(n))),null!=n._pan&&n.connect(this.pan,r(n._pan.bind(n))),null!=n._pan_end&&n.connect(this.pan_end,r(n._pan_end.bind(n)));break;case\"pinch\":null!=n._pinch_start&&n.connect(this.pinch_start,r(n._pinch_start.bind(n))),null!=n._pinch&&n.connect(this.pinch,r(n._pinch.bind(n))),null!=n._pinch_end&&n.connect(this.pinch_end,r(n._pinch_end.bind(n)));break;case\"rotate\":null!=n._rotate_start&&n.connect(this.rotate_start,r(n._rotate_start.bind(n))),null!=n._rotate&&n.connect(this.rotate,r(n._rotate.bind(n))),null!=n._rotate_end&&n.connect(this.rotate_end,r(n._rotate_end.bind(n)));break;case\"move\":null!=n._move_enter&&n.connect(this.move_enter,r(n._move_enter.bind(n))),null!=n._move&&n.connect(this.move,r(n._move.bind(n))),null!=n._move_exit&&n.connect(this.move_exit,r(n._move_exit.bind(n)));break;case\"tap\":null!=n._tap&&n.connect(this.tap,r(n._tap.bind(n))),null!=n._doubletap&&n.connect(this.doubletap,r(n._doubletap.bind(n)));break;case\"press\":null!=n._press&&n.connect(this.press,r(n._press.bind(n))),null!=n._pressup&&n.connect(this.pressup,r(n._pressup.bind(n)));break;case\"scroll\":null!=n._scroll&&n.connect(this.scroll,r(n._scroll.bind(n)));break;default:throw new Error(`unsupported event_type: ${e}`)}s&&(null!=n._keydown&&n.connect(this.keydown,a(n._keydown.bind(n))),null!=n._keyup&&n.connect(this.keyup,a(n._keyup.bind(n))),v.is_mobile&&null!=n._scroll&&\"pinch\"==e&&(h.logger.debug(\"Registering scroll on touch screen\"),n.connect(this.scroll,r(n._scroll.bind(n)))))}_hit_test_renderers(t,e,s){var n;const i=t.get_renderer_views();for(const t of(0,p.reversed)(i))if(null===(n=t.interactive_hit)||void 0===n?void 0:n.call(t,e,s))return t;return null}set_cursor(t=\"default\"){this.hit_area.style.cursor=t}_hit_test_frame(t,e,s){return t.frame.bbox.contains(e,s)}_hit_test_canvas(t,e,s){return t.layout.bbox.contains(e,s)}_hit_test_plot(t,e){for(const s of this.canvas_view.plot_views)if(s.layout.bbox.relative().contains(t,e))return s;return null}_trigger(t,e,s){var n;const{sx:i,sy:r}=e,a=this._hit_test_plot(i,r),_=t=>{const[s,n]=[i,r];return Object.assign(Object.assign({},e),{sx:s,sy:n})};if(\"panstart\"==e.type||\"pan\"==e.type||\"panend\"==e.type){let n;if(\"panstart\"==e.type&&null!=a?(this._curr_pan={plot_view:a},n=a):\"pan\"==e.type&&null!=this._curr_pan?n=this._curr_pan.plot_view:\"panend\"==e.type&&null!=this._curr_pan?(n=this._curr_pan.plot_view,this._curr_pan=null):n=null,null!=n){const e=_();this.__trigger(n,t,e,s)}}else if(\"pinchstart\"==e.type||\"pinch\"==e.type||\"pinchend\"==e.type){let n;if(\"pinchstart\"==e.type&&null!=a?(this._curr_pinch={plot_view:a},n=a):\"pinch\"==e.type&&null!=this._curr_pinch?n=this._curr_pinch.plot_view:\"pinchend\"==e.type&&null!=this._curr_pinch?(n=this._curr_pinch.plot_view,this._curr_pinch=null):n=null,null!=n){const e=_();this.__trigger(n,t,e,s)}}else if(\"rotatestart\"==e.type||\"rotate\"==e.type||\"rotateend\"==e.type){let n;if(\"rotatestart\"==e.type&&null!=a?(this._curr_rotate={plot_view:a},n=a):\"rotate\"==e.type&&null!=this._curr_rotate?n=this._curr_rotate.plot_view:\"rotateend\"==e.type&&null!=this._curr_rotate?(n=this._curr_rotate.plot_view,this._curr_rotate=null):n=null,null!=n){const e=_();this.__trigger(n,t,e,s)}}else if(\"mouseenter\"==e.type||\"mousemove\"==e.type||\"mouseleave\"==e.type){const h=null===(n=this._prev_move)||void 0===n?void 0:n.plot_view;if(null!=h&&(\"mouseleave\"==e.type||h!=a)){const{sx:t,sy:e}=_();this.__trigger(h,this.move_exit,{type:\"mouseleave\",sx:t,sy:e,shiftKey:!1,ctrlKey:!1},s)}if(null!=a&&(\"mouseenter\"==e.type||h!=a)){const{sx:t,sy:e}=_();this.__trigger(a,this.move_enter,{type:\"mouseenter\",sx:t,sy:e,shiftKey:!1,ctrlKey:!1},s)}if(null!=a&&\"mousemove\"==e.type){const e=_();this.__trigger(a,t,e,s)}this._prev_move={sx:i,sy:r,plot_view:a}}else if(null!=a){const e=_();this.__trigger(a,t,e,s)}}__trigger(t,e,s,n){var i,r,a;const _=t.model.toolbar.gestures,h=e.name.split(\":\")[0],o=this._hit_test_renderers(t,s.sx,s.sy),l=this._hit_test_canvas(t,s.sx,s.sy);switch(h){case\"move\":{const n=_.move.active;null!=n&&this.trigger(e,s,n.id);const r=t.model.toolbar.inspectors.filter((t=>t.active));let a=\"default\";null!=o?(a=null!==(i=o.cursor(s.sx,s.sy))&&void 0!==i?i:a,(0,p.is_empty)(r)||(e=this.move_exit)):this._hit_test_frame(t,s.sx,s.sy)&&((0,p.is_empty)(r)||(a=\"crosshair\")),this.set_cursor(a),t.set_toolbar_visibility(l),r.map((t=>this.trigger(e,s,t.id)));break}case\"tap\":{const{target:i}=n;if(null!=i&&i!=this.hit_area)return;if(null===(r=null==o?void 0:o.on_hit)||void 0===r||r.call(o,s.sx,s.sy),this._hit_test_frame(t,s.sx,s.sy)){const t=_.tap.active;null!=t&&this.trigger(e,s,t.id)}break}case\"doubletap\":if(this._hit_test_frame(t,s.sx,s.sy)){const t=null!==(a=_.doubletap.active)&&void 0!==a?a:_.tap.active;null!=t&&this.trigger(e,s,t.id)}break;case\"scroll\":{const t=_[v.is_mobile?\"pinch\":\"scroll\"].active;null!=t&&(n.preventDefault(),n.stopPropagation(),this.trigger(e,s,t.id));break}case\"pan\":{const t=_.pan.active;null!=t&&(n.preventDefault(),this.trigger(e,s,t.id));break}default:{const t=_[h].active;null!=t&&this.trigger(e,s,t.id)}}this._trigger_bokeh_event(t,s)}trigger(t,e,s=null){t.emit({id:s,e})}_trigger_bokeh_event(t,e){const s=(()=>{const{sx:s,sy:n}=e,i=t.frame.x_scale.invert(s),r=t.frame.y_scale.invert(n);switch(e.type){case\"wheel\":return new l.MouseWheel(s,n,i,r,e.delta);case\"mousemove\":return new l.MouseMove(s,n,i,r);case\"mouseenter\":return new l.MouseEnter(s,n,i,r);case\"mouseleave\":return new l.MouseLeave(s,n,i,r);case\"tap\":return new l.Tap(s,n,i,r);case\"doubletap\":return new l.DoubleTap(s,n,i,r);case\"press\":return new l.Press(s,n,i,r);case\"pressup\":return new l.PressUp(s,n,i,r);case\"pan\":return new l.Pan(s,n,i,r,e.deltaX,e.deltaY);case\"panstart\":return new l.PanStart(s,n,i,r);case\"panend\":return new l.PanEnd(s,n,i,r);case\"pinch\":return new l.Pinch(s,n,i,r,e.scale);case\"pinchstart\":return new l.PinchStart(s,n,i,r);case\"pinchend\":return new l.PinchEnd(s,n,i,r);case\"rotate\":return new l.Rotate(s,n,i,r,e.rotation);case\"rotatestart\":return new l.RotateStart(s,n,i,r);case\"rotateend\":return new l.RotateEnd(s,n,i,r);default:return}})();null!=s&&t.model.trigger_event(s)}_get_sxy(t){const{pageX:e,pageY:s}=function(t){return\"undefined\"!=typeof TouchEvent&&t instanceof TouchEvent}(t)?(0!=t.touches.length?t.touches:t.changedTouches)[0]:t,{left:n,top:i}=(0,o.offset)(this.hit_area);return{sx:e-n,sy:s-i}}_pan_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{deltaX:t.deltaX,deltaY:t.deltaY,shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_pinch_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{scale:t.scale,shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_rotate_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{rotation:t.rotation,shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_tap_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_move_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t)),{shiftKey:t.shiftKey,ctrlKey:t.ctrlKey})}_scroll_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t)),{delta:(0,c.getDeltaY)(t),shiftKey:t.shiftKey,ctrlKey:t.ctrlKey})}_key_event(t){return{type:t.type,keyCode:t.keyCode}}_pan_start(t){const e=this._pan_event(t);e.sx-=t.deltaX,e.sy-=t.deltaY,this._trigger(this.pan_start,e,t.srcEvent)}_pan(t){this._trigger(this.pan,this._pan_event(t),t.srcEvent)}_pan_end(t){this._trigger(this.pan_end,this._pan_event(t),t.srcEvent)}_pinch_start(t){this._trigger(this.pinch_start,this._pinch_event(t),t.srcEvent)}_pinch(t){this._trigger(this.pinch,this._pinch_event(t),t.srcEvent)}_pinch_end(t){this._trigger(this.pinch_end,this._pinch_event(t),t.srcEvent)}_rotate_start(t){this._trigger(this.rotate_start,this._rotate_event(t),t.srcEvent)}_rotate(t){this._trigger(this.rotate,this._rotate_event(t),t.srcEvent)}_rotate_end(t){this._trigger(this.rotate_end,this._rotate_event(t),t.srcEvent)}_tap(t){this._trigger(this.tap,this._tap_event(t),t.srcEvent)}_doubletap(t){this._trigger(this.doubletap,this._tap_event(t),t.srcEvent)}_press(t){this._trigger(this.press,this._tap_event(t),t.srcEvent)}_pressup(t){this._trigger(this.pressup,this._tap_event(t),t.srcEvent)}_mouse_enter(t){this._trigger(this.move_enter,this._move_event(t),t)}_mouse_move(t){this._trigger(this.move,this._move_event(t),t)}_mouse_exit(t){this._trigger(this.move_exit,this._move_event(t),t)}_mouse_wheel(t){this._trigger(this.scroll,this._scroll_event(t),t)}_context_menu(t){!this.menu.is_open&&this.menu.can_open&&t.preventDefault();const{sx:e,sy:s}=this._get_sxy(t);this.menu.toggle({left:e,top:s})}_key_down(t){this.trigger(this.keydown,this._key_event(t))}_key_up(t){this.trigger(this.keyup,this._key_event(t))}}s.UIEventBus=g,g.__name__=\"UIEventBus\"},\n function _(e,t,s,n,_){n();var a=this&&this.__decorate||function(e,t,s,n){var _,a=arguments.length,o=a<3?t:null===n?n=Object.getOwnPropertyDescriptor(t,s):n;if(\"object\"==typeof Reflect&&\"function\"==typeof Reflect.decorate)o=Reflect.decorate(e,t,s,n);else for(var r=e.length-1;r>=0;r--)(_=e[r])&&(o=(a<3?_(o):a>3?_(t,s,o):_(t,s))||o);return a>3&&o&&Object.defineProperty(t,s,o),o};function o(e){return function(t){t.prototype.event_name=e}}class r{to_json(){const{event_name:e}=this;return{event_name:e,event_values:this._to_json()}}}s.BokehEvent=r,r.__name__=\"BokehEvent\";class c extends r{constructor(){super(...arguments),this.origin=null}_to_json(){return{model:this.origin}}}s.ModelEvent=c,c.__name__=\"ModelEvent\";let l=class extends r{_to_json(){return{}}};s.DocumentReady=l,l.__name__=\"DocumentReady\",s.DocumentReady=l=a([o(\"document_ready\")],l);let i=class extends c{};s.ButtonClick=i,i.__name__=\"ButtonClick\",s.ButtonClick=i=a([o(\"button_click\")],i);let u=class extends c{constructor(e){super(),this.item=e}_to_json(){const{item:e}=this;return Object.assign(Object.assign({},super._to_json()),{item:e})}};s.MenuItemClick=u,u.__name__=\"MenuItemClick\",s.MenuItemClick=u=a([o(\"menu_item_click\")],u);class d extends c{}s.UIEvent=d,d.__name__=\"UIEvent\";let m=class extends d{};s.LODStart=m,m.__name__=\"LODStart\",s.LODStart=m=a([o(\"lodstart\")],m);let h=class extends d{};s.LODEnd=h,h.__name__=\"LODEnd\",s.LODEnd=h=a([o(\"lodend\")],h);let p=class extends d{constructor(e,t,s,n){super(),this.x0=e,this.x1=t,this.y0=s,this.y1=n}_to_json(){const{x0:e,x1:t,y0:s,y1:n}=this;return Object.assign(Object.assign({},super._to_json()),{x0:e,x1:t,y0:s,y1:n})}};s.RangesUpdate=p,p.__name__=\"RangesUpdate\",s.RangesUpdate=p=a([o(\"rangesupdate\")],p);let x=class extends d{constructor(e,t){super(),this.geometry=e,this.final=t}_to_json(){const{geometry:e,final:t}=this;return Object.assign(Object.assign({},super._to_json()),{geometry:e,final:t})}};s.SelectionGeometry=x,x.__name__=\"SelectionGeometry\",s.SelectionGeometry=x=a([o(\"selectiongeometry\")],x);let j=class extends d{};s.Reset=j,j.__name__=\"Reset\",s.Reset=j=a([o(\"reset\")],j);class y extends d{constructor(e,t,s,n){super(),this.sx=e,this.sy=t,this.x=s,this.y=n}_to_json(){const{sx:e,sy:t,x:s,y:n}=this;return Object.assign(Object.assign({},super._to_json()),{sx:e,sy:t,x:s,y:n})}}s.PointEvent=y,y.__name__=\"PointEvent\";let g=class extends y{constructor(e,t,s,n,_,a){super(e,t,s,n),this.delta_x=_,this.delta_y=a}_to_json(){const{delta_x:e,delta_y:t}=this;return Object.assign(Object.assign({},super._to_json()),{delta_x:e,delta_y:t})}};s.Pan=g,g.__name__=\"Pan\",s.Pan=g=a([o(\"pan\")],g);let P=class extends y{constructor(e,t,s,n,_){super(e,t,s,n),this.scale=_}_to_json(){const{scale:e}=this;return Object.assign(Object.assign({},super._to_json()),{scale:e})}};s.Pinch=P,P.__name__=\"Pinch\",s.Pinch=P=a([o(\"pinch\")],P);let O=class extends y{constructor(e,t,s,n,_){super(e,t,s,n),this.rotation=_}_to_json(){const{rotation:e}=this;return Object.assign(Object.assign({},super._to_json()),{rotation:e})}};s.Rotate=O,O.__name__=\"Rotate\",s.Rotate=O=a([o(\"rotate\")],O);let b=class extends y{constructor(e,t,s,n,_){super(e,t,s,n),this.delta=_}_to_json(){const{delta:e}=this;return Object.assign(Object.assign({},super._to_json()),{delta:e})}};s.MouseWheel=b,b.__name__=\"MouseWheel\",s.MouseWheel=b=a([o(\"wheel\")],b);let v=class extends y{};s.MouseMove=v,v.__name__=\"MouseMove\",s.MouseMove=v=a([o(\"mousemove\")],v);let E=class extends y{};s.MouseEnter=E,E.__name__=\"MouseEnter\",s.MouseEnter=E=a([o(\"mouseenter\")],E);let R=class extends y{};s.MouseLeave=R,R.__name__=\"MouseLeave\",s.MouseLeave=R=a([o(\"mouseleave\")],R);let M=class extends y{};s.Tap=M,M.__name__=\"Tap\",s.Tap=M=a([o(\"tap\")],M);let f=class extends y{};s.DoubleTap=f,f.__name__=\"DoubleTap\",s.DoubleTap=f=a([o(\"doubletap\")],f);let S=class extends y{};s.Press=S,S.__name__=\"Press\",s.Press=S=a([o(\"press\")],S);let D=class extends y{};s.PressUp=D,D.__name__=\"PressUp\",s.PressUp=D=a([o(\"pressup\")],D);let k=class extends y{};s.PanStart=k,k.__name__=\"PanStart\",s.PanStart=k=a([o(\"panstart\")],k);let L=class extends y{};s.PanEnd=L,L.__name__=\"PanEnd\",s.PanEnd=L=a([o(\"panend\")],L);let U=class extends y{};s.PinchStart=U,U.__name__=\"PinchStart\",s.PinchStart=U=a([o(\"pinchstart\")],U);let C=class extends y{};s.PinchEnd=C,C.__name__=\"PinchEnd\",s.PinchEnd=C=a([o(\"pinchend\")],C);let T=class extends y{};s.RotateStart=T,T.__name__=\"RotateStart\",s.RotateStart=T=a([o(\"rotatestart\")],T);let B=class extends y{};s.RotateEnd=B,B.__name__=\"RotateEnd\",s.RotateEnd=B=a([o(\"rotateend\")],B)},\n function _(t,e,n,l,o){\n /*!\n * jQuery Mousewheel 3.1.13\n 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_=e(178),o=e(184),d=e(48),u=e(24),h=e(20),c=(0,n.__importStar)(e(18)),l=e(10),g=e(72),p=e(12);class x extends _.XYGlyphView{_map_data(){\"data\"==this.model.properties.inner_radius.units?this.sinner_radius=this.sdist(this.renderer.xscale,this._x,this.inner_radius):this.sinner_radius=(0,u.to_screen)(this.inner_radius),\"data\"==this.model.properties.outer_radius.units?this.souter_radius=this.sdist(this.renderer.xscale,this._x,this.outer_radius):this.souter_radius=(0,u.to_screen)(this.outer_radius),this.max_souter_radius=(0,p.max)(this.souter_radius)}_render(e,s,t){const{sx:i,sy:r,start_angle:n,end_angle:a,sinner_radius:_,souter_radius:o}=null!=t?t:this,d=\"anticlock\"==this.model.direction;for(const t of s){const s=i[t],u=r[t],h=_[t],c=o[t],l=n.get(t),g=a.get(t);if(!isFinite(s+u+h+c+l+g))continue;const p=g-l;e.translate(s,u),e.rotate(l),e.beginPath(),e.moveTo(c,0),e.arc(0,0,c,0,p,d),e.rotate(p),e.lineTo(h,0),e.arc(0,0,h,0,-p,!d),e.closePath(),e.rotate(-p-l),e.translate(-s,-u),this.visuals.fill.apply(e,t),this.visuals.hatch.apply(e,t),this.visuals.line.apply(e,t)}}_hit_point(e){const{sx:s,sy:t}=e,i=this.renderer.xscale.invert(s),r=this.renderer.yscale.invert(t),n=s-this.max_souter_radius,a=s+this.max_souter_radius,[_,o]=this.renderer.xscale.r_invert(n,a),d=t-this.max_souter_radius,u=t+this.max_souter_radius,[h,c]=this.renderer.yscale.r_invert(d,u),p=[];for(const e of this.index.indices({x0:_,x1:o,y0:h,y1:c})){const s=this.souter_radius[e]**2,t=this.sinner_radius[e]**2,[n,a]=this.renderer.xscale.r_compute(i,this._x[e]),[_,o]=this.renderer.yscale.r_compute(r,this._y[e]),d=(n-a)**2+(_-o)**2;d<=s&&d>=t&&p.push(e)}const x=\"anticlock\"==this.model.direction,m=[];for(const e of p){const i=Math.atan2(t-this.sy[e],s-this.sx[e]);(0,l.angle_between)(-i,-this.start_angle.get(e),-this.end_angle.get(e),x)&&m.push(e)}return new g.Selection({indices:m})}draw_legend_for_index(e,s,t){(0,o.generic_area_vector_legend)(this.visuals,e,s,t)}scenterxy(e){const s=(this.sinner_radius[e]+this.souter_radius[e])/2,t=(this.start_angle.get(e)+this.end_angle.get(e))/2;return[this.sx[e]+s*Math.cos(t),this.sy[e]+s*Math.sin(t)]}}t.AnnularWedgeView=x,x.__name__=\"AnnularWedgeView\";class m extends _.XYGlyph{constructor(e){super(e)}}t.AnnularWedge=m,a=m,m.__name__=\"AnnularWedge\",a.prototype.default_view=x,a.mixins([d.LineVector,d.FillVector,d.HatchVector]),a.define((({})=>({direction:[h.Direction,\"anticlock\"],inner_radius:[c.DistanceSpec,{field:\"inner_radius\"}],outer_radius:[c.DistanceSpec,{field:\"outer_radius\"}],start_angle:[c.AngleSpec,{field:\"start_angle\"}],end_angle:[c.AngleSpec,{field:\"end_angle\"}]})))},\n function _(s,e,i,r,t){r();const n=s(1);var a;const u=s(178),o=s(24),_=s(48),d=(0,n.__importStar)(s(18)),h=s(27),c=s(72);class l extends u.XYGlyphView{_map_data(){\"data\"==this.model.properties.inner_radius.units?this.sinner_radius=this.sdist(this.renderer.xscale,this._x,this.inner_radius):this.sinner_radius=(0,o.to_screen)(this.inner_radius),\"data\"==this.model.properties.outer_radius.units?this.souter_radius=this.sdist(this.renderer.xscale,this._x,this.outer_radius):this.souter_radius=(0,o.to_screen)(this.outer_radius)}_render(s,e,i){const{sx:r,sy:t,sinner_radius:n,souter_radius:a}=null!=i?i:this;for(const i of e){const e=r[i],u=t[i],o=n[i],_=a[i];if(isFinite(e+u+o+_)){if(s.beginPath(),h.is_ie)for(const i of[!1,!0])s.moveTo(e,u),s.arc(e,u,o,0,Math.PI,i),s.moveTo(e+_,u),s.arc(e,u,_,Math.PI,0,!i);else s.arc(e,u,o,0,2*Math.PI,!0),s.moveTo(e+_,u),s.arc(e,u,_,2*Math.PI,0,!1);this.visuals.fill.apply(s,i),this.visuals.hatch.apply(s,i),this.visuals.line.apply(s,i)}}}_hit_point(s){const{sx:e,sy:i}=s,r=this.renderer.xscale.invert(e),t=this.renderer.yscale.invert(i);let n,a,u,o;if(\"data\"==this.model.properties.outer_radius.units)n=r-this.max_outer_radius,u=r+this.max_outer_radius,a=t-this.max_outer_radius,o=t+this.max_outer_radius;else{const s=e-this.max_outer_radius,r=e+this.max_outer_radius;[n,u]=this.renderer.xscale.r_invert(s,r);const t=i-this.max_outer_radius,_=i+this.max_outer_radius;[a,o]=this.renderer.yscale.r_invert(t,_)}const _=[];for(const s of this.index.indices({x0:n,x1:u,y0:a,y1:o})){const e=this.souter_radius[s]**2,i=this.sinner_radius[s]**2,[n,a]=this.renderer.xscale.r_compute(r,this._x[s]),[u,o]=this.renderer.yscale.r_compute(t,this._y[s]),d=(n-a)**2+(u-o)**2;d<=e&&d>=i&&_.push(s)}return new c.Selection({indices:_})}draw_legend_for_index(s,{x0:e,y0:i,x1:r,y1:t},n){const a=n+1,u=new Array(a);u[n]=(e+r)/2;const o=new Array(a);o[n]=(i+t)/2;const _=.5*Math.min(Math.abs(r-e),Math.abs(t-i)),d=new Array(a);d[n]=.4*_;const h=new Array(a);h[n]=.8*_,this._render(s,[n],{sx:u,sy:o,sinner_radius:d,souter_radius:h})}}i.AnnulusView=l,l.__name__=\"AnnulusView\";class x extends u.XYGlyph{constructor(s){super(s)}}i.Annulus=x,a=x,x.__name__=\"Annulus\",a.prototype.default_view=l,a.mixins([_.LineVector,_.FillVector,_.HatchVector]),a.define((({})=>({inner_radius:[d.DistanceSpec,{field:\"inner_radius\"}],outer_radius:[d.DistanceSpec,{field:\"outer_radius\"}]})))},\n function _(e,i,s,t,n){t();const r=e(1);var a;const c=e(178),d=e(184),l=e(48),_=e(24),o=e(20),u=(0,r.__importStar)(e(18));class h extends c.XYGlyphView{_map_data(){\"data\"==this.model.properties.radius.units?this.sradius=this.sdist(this.renderer.xscale,this._x,this.radius):this.sradius=(0,_.to_screen)(this.radius)}_render(e,i,s){if(this.visuals.line.doit){const{sx:t,sy:n,sradius:r,start_angle:a,end_angle:c}=null!=s?s:this,d=\"anticlock\"==this.model.direction;for(const s of i){const i=t[s],l=n[s],_=r[s],o=a.get(s),u=c.get(s);isFinite(i+l+_+o+u)&&(e.beginPath(),e.arc(i,l,_,o,u,d),this.visuals.line.set_vectorize(e,s),e.stroke())}}}draw_legend_for_index(e,i,s){(0,d.generic_line_vector_legend)(this.visuals,e,i,s)}}s.ArcView=h,h.__name__=\"ArcView\";class g extends c.XYGlyph{constructor(e){super(e)}}s.Arc=g,a=g,g.__name__=\"Arc\",a.prototype.default_view=h,a.mixins(l.LineVector),a.define((({})=>({direction:[o.Direction,\"anticlock\"],radius:[u.DistanceSpec,{field:\"radius\"}],start_angle:[u.AngleSpec,{field:\"start_angle\"}],end_angle:[u.AngleSpec,{field:\"end_angle\"}]})))},\n function _(e,t,i,n,s){n();const o=e(1);var c;const r=e(48),a=e(179),_=e(184),d=e(78),l=(0,o.__importStar)(e(18));function x(e,t,i,n,s,o,c,r){const a=[],_=[[],[]];for(let _=0;_<=2;_++){let d,l,x;if(0===_?(l=6*e-12*i+6*s,d=-3*e+9*i-9*s+3*c,x=3*i-3*e):(l=6*t-12*n+6*o,d=-3*t+9*n-9*o+3*r,x=3*n-3*t),Math.abs(d)<1e-12){if(Math.abs(l)<1e-12)continue;const e=-x/l;0({x0:[l.XCoordinateSpec,{field:\"x0\"}],y0:[l.YCoordinateSpec,{field:\"y0\"}],x1:[l.XCoordinateSpec,{field:\"x1\"}],y1:[l.YCoordinateSpec,{field:\"y1\"}],cx0:[l.XCoordinateSpec,{field:\"cx0\"}],cy0:[l.YCoordinateSpec,{field:\"cy0\"}],cx1:[l.XCoordinateSpec,{field:\"cx1\"}],cy1:[l.YCoordinateSpec,{field:\"cy1\"}]}))),c.mixins(r.LineVector)},\n function _(s,i,e,t,r){t();const a=s(1);var n;const h=s(178),d=s(48),l=s(24),_=s(20),c=(0,a.__importStar)(s(185)),u=(0,a.__importStar)(s(18)),o=s(9),x=s(12),m=s(72);class p extends h.XYGlyphView{async lazy_initialize(){await super.lazy_initialize();const{webgl:i}=this.renderer.plot_view.canvas_view;if(null!=i&&i.regl_wrapper.has_webgl){const{CircleGL:e}=await Promise.resolve().then((()=>(0,a.__importStar)(s(423))));this.glglyph=new e(i.regl_wrapper,this)}}get use_radius(){return!(this.radius.is_Scalar()&&isNaN(this.radius.value))}_set_data(s){super._set_data(s);const i=(()=>{if(this.use_radius)return 2*this.max_radius;{const{size:s}=this;return s.is_Scalar()?s.value:(0,x.max)(s.array)}})();this._configure(\"max_size\",{value:i})}_map_data(){if(this.use_radius)if(\"data\"==this.model.properties.radius.units)switch(this.model.radius_dimension){case\"x\":this.sradius=this.sdist(this.renderer.xscale,this._x,this.radius);break;case\"y\":this.sradius=this.sdist(this.renderer.yscale,this._y,this.radius);break;case\"max\":{const s=this.sdist(this.renderer.xscale,this._x,this.radius),i=this.sdist(this.renderer.yscale,this._y,this.radius);this.sradius=(0,x.map)(s,((s,e)=>Math.max(s,i[e])));break}case\"min\":{const s=this.sdist(this.renderer.xscale,this._x,this.radius),i=this.sdist(this.renderer.yscale,this._y,this.radius);this.sradius=(0,x.map)(s,((s,e)=>Math.min(s,i[e])));break}}else this.sradius=(0,l.to_screen)(this.radius);else{const s=l.ScreenArray.from(this.size);this.sradius=(0,x.map)(s,(s=>s/2))}}_mask_data(){const{frame:s}=this.renderer.plot_view,i=s.x_target,e=s.y_target;let t,r;return this.use_radius&&\"data\"==this.model.properties.radius.units?(t=i.map((s=>this.renderer.xscale.invert(s))).widen(this.max_radius),r=e.map((s=>this.renderer.yscale.invert(s))).widen(this.max_radius)):(t=i.widen(this.max_size).map((s=>this.renderer.xscale.invert(s))),r=e.widen(this.max_size).map((s=>this.renderer.yscale.invert(s)))),this.index.indices({x0:t.start,x1:t.end,y0:r.start,y1:r.end})}_render(s,i,e){const{sx:t,sy:r,sradius:a}=null!=e?e:this;for(const e of i){const i=t[e],n=r[e],h=a[e];isFinite(i+n+h)&&(s.beginPath(),s.arc(i,n,h,0,2*Math.PI,!1),this.visuals.fill.apply(s,e),this.visuals.hatch.apply(s,e),this.visuals.line.apply(s,e))}}_hit_point(s){const{sx:i,sy:e}=s,t=this.renderer.xscale.invert(i),r=this.renderer.yscale.invert(e),{hit_dilation:a}=this.model;let n,h,d,l;if(this.use_radius&&\"data\"==this.model.properties.radius.units)n=t-this.max_radius*a,h=t+this.max_radius*a,d=r-this.max_radius*a,l=r+this.max_radius*a;else{const s=i-this.max_size*a,t=i+this.max_size*a;[n,h]=this.renderer.xscale.r_invert(s,t);const r=e-this.max_size*a,_=e+this.max_size*a;[d,l]=this.renderer.yscale.r_invert(r,_)}const _=this.index.indices({x0:n,x1:h,y0:d,y1:l}),c=[];if(this.use_radius&&\"data\"==this.model.properties.radius.units)for(const s of _){const i=(this.sradius[s]*a)**2,[e,n]=this.renderer.xscale.r_compute(t,this._x[s]),[h,d]=this.renderer.yscale.r_compute(r,this._y[s]);(e-n)**2+(h-d)**2<=i&&c.push(s)}else for(const s of _){const t=(this.sradius[s]*a)**2;(this.sx[s]-i)**2+(this.sy[s]-e)**2<=t&&c.push(s)}return new m.Selection({indices:c})}_hit_span(s){const{sx:i,sy:e}=s,t=this.bounds();let r,a,n,h;if(\"h\"==s.direction){let s,e;if(n=t.y0,h=t.y1,this.use_radius&&\"data\"==this.model.properties.radius.units)s=i-this.max_radius,e=i+this.max_radius,[r,a]=this.renderer.xscale.r_invert(s,e);else{const t=this.max_size/2;s=i-t,e=i+t,[r,a]=this.renderer.xscale.r_invert(s,e)}}else{let s,i;if(r=t.x0,a=t.x1,this.use_radius&&\"data\"==this.model.properties.radius.units)s=e-this.max_radius,i=e+this.max_radius,[n,h]=this.renderer.yscale.r_invert(s,i);else{const t=this.max_size/2;s=e-t,i=e+t,[n,h]=this.renderer.yscale.r_invert(s,i)}}const d=[...this.index.indices({x0:r,x1:a,y0:n,y1:h})];return new m.Selection({indices:d})}_hit_rect(s){const{sx0:i,sx1:e,sy0:t,sy1:r}=s,[a,n]=this.renderer.xscale.r_invert(i,e),[h,d]=this.renderer.yscale.r_invert(t,r),l=[...this.index.indices({x0:a,x1:n,y0:h,y1:d})];return new m.Selection({indices:l})}_hit_poly(s){const{sx:i,sy:e}=s,t=(0,o.range)(0,this.sx.length),r=[];for(let s=0,a=t.length;s({angle:[u.AngleSpec,0],size:[u.ScreenSizeSpec,{value:4}],radius:[u.NullDistanceSpec,null],radius_dimension:[_.RadiusDimension,\"x\"],hit_dilation:[s,1]})))},\n function _(e,l,s,i,_){var p;i();const t=e(274);class a extends t.EllipseOvalView{}s.EllipseView=a,a.__name__=\"EllipseView\";class n extends t.EllipseOval{constructor(e){super(e)}}s.Ellipse=n,p=n,n.__name__=\"Ellipse\",p.prototype.default_view=a},\n function _(t,s,e,i,h){i();const n=t(1),r=t(275),a=(0,n.__importStar)(t(185)),l=t(24),_=t(72),o=(0,n.__importStar)(t(18));class d extends r.CenterRotatableView{_map_data(){\"data\"==this.model.properties.width.units?this.sw=this.sdist(this.renderer.xscale,this._x,this.width,\"center\"):this.sw=(0,l.to_screen)(this.width),\"data\"==this.model.properties.height.units?this.sh=this.sdist(this.renderer.yscale,this._y,this.height,\"center\"):this.sh=(0,l.to_screen)(this.height)}_render(t,s,e){const{sx:i,sy:h,sw:n,sh:r,angle:a}=null!=e?e:this;for(const e of s){const s=i[e],l=h[e],_=n[e],o=r[e],d=a.get(e);isFinite(s+l+_+o+d)&&(t.beginPath(),t.ellipse(s,l,_/2,o/2,d,0,2*Math.PI),this.visuals.fill.apply(t,e),this.visuals.hatch.apply(t,e),this.visuals.line.apply(t,e))}}_hit_point(t){let s,e,i,h,n,r,l,o,d;const{sx:c,sy:p}=t,w=this.renderer.xscale.invert(c),x=this.renderer.yscale.invert(p);\"data\"==this.model.properties.width.units?(s=w-this.max_width,e=w+this.max_width):(r=c-this.max_width,l=c+this.max_width,[s,e]=this.renderer.xscale.r_invert(r,l)),\"data\"==this.model.properties.height.units?(i=x-this.max_height,h=x+this.max_height):(o=p-this.max_height,d=p+this.max_height,[i,h]=this.renderer.yscale.r_invert(o,d));const m=this.index.indices({x0:s,x1:e,y0:i,y1:h}),y=[];for(const t of m)n=a.point_in_ellipse(c,p,this.angle.get(t),this.sh[t]/2,this.sw[t]/2,this.sx[t],this.sy[t]),n&&y.push(t);return new _.Selection({indices:y})}draw_legend_for_index(t,{x0:s,y0:e,x1:i,y1:h},n){const r=n+1,a=new Array(r);a[n]=(s+i)/2;const l=new Array(r);l[n]=(e+h)/2;const _=this.sw[n]/this.sh[n],d=.8*Math.min(Math.abs(i-s),Math.abs(h-e)),c=new Array(r),p=new Array(r);_>1?(c[n]=d,p[n]=d/_):(c[n]=d*_,p[n]=d);const w=new o.UniformScalar(0,r);this._render(t,[n],{sx:a,sy:l,sw:c,sh:p,angle:w})}}e.EllipseOvalView=d,d.__name__=\"EllipseOvalView\";class c extends r.CenterRotatable{constructor(t){super(t)}}e.EllipseOval=c,c.__name__=\"EllipseOval\"},\n function _(e,t,i,a,n){a();const s=e(1);var r;const h=e(178),o=e(48),_=(0,s.__importStar)(e(18));class c extends h.XYGlyphView{get max_w2(){return\"data\"==this.model.properties.width.units?this.max_width/2:0}get max_h2(){return\"data\"==this.model.properties.height.units?this.max_height/2:0}_bounds({x0:e,x1:t,y0:i,y1:a}){const{max_w2:n,max_h2:s}=this;return{x0:e-n,x1:t+n,y0:i-s,y1:a+s}}}i.CenterRotatableView=c,c.__name__=\"CenterRotatableView\";class l extends h.XYGlyph{constructor(e){super(e)}}i.CenterRotatable=l,r=l,l.__name__=\"CenterRotatable\",r.mixins([o.LineVector,o.FillVector,o.HatchVector]),r.define((({})=>({angle:[_.AngleSpec,0],width:[_.DistanceSpec,{field:\"width\"}],height:[_.DistanceSpec,{field:\"height\"}]})))},\n function _(t,e,s,i,r){i();const h=t(1);var a;const n=t(277),_=t(24),o=(0,h.__importStar)(t(18));class l extends n.BoxView{async lazy_initialize(){await super.lazy_initialize();const{webgl:e}=this.renderer.plot_view.canvas_view;if(null!=e&&e.regl_wrapper.has_webgl){const{LRTBGL:s}=await Promise.resolve().then((()=>(0,h.__importStar)(t(427))));this.glglyph=new s(e.regl_wrapper,this)}}scenterxy(t){return[(this.sleft[t]+this.sright[t])/2,this.sy[t]]}_lrtb(t){const e=this._left[t],s=this._right[t],i=this._y[t],r=this.height.get(t)/2;return[Math.min(e,s),Math.max(e,s),i+r,i-r]}_map_data(){this.sy=this.renderer.yscale.v_compute(this._y),this.sh=this.sdist(this.renderer.yscale,this._y,this.height,\"center\"),this.sleft=this.renderer.xscale.v_compute(this._left),this.sright=this.renderer.xscale.v_compute(this._right);const t=this.sy.length;this.stop=new _.ScreenArray(t),this.sbottom=new _.ScreenArray(t);for(let e=0;e({left:[o.XCoordinateSpec,{value:0}],y:[o.YCoordinateSpec,{field:\"y\"}],height:[o.NumberSpec,{value:1}],right:[o.XCoordinateSpec,{field:\"right\"}]})))},\n function _(t,e,s,r,i){var n;r();const a=t(48),h=t(179),o=t(184),c=t(72);class _ extends h.GlyphView{get_anchor_point(t,e,s){const r=Math.min(this.sleft[e],this.sright[e]),i=Math.max(this.sright[e],this.sleft[e]),n=Math.min(this.stop[e],this.sbottom[e]),a=Math.max(this.sbottom[e],this.stop[e]);switch(t){case\"top_left\":return{x:r,y:n};case\"top\":case\"top_center\":return{x:(r+i)/2,y:n};case\"top_right\":return{x:i,y:n};case\"bottom_left\":return{x:r,y:a};case\"bottom\":case\"bottom_center\":return{x:(r+i)/2,y:a};case\"bottom_right\":return{x:i,y:a};case\"left\":case\"center_left\":return{x:r,y:(n+a)/2};case\"center\":case\"center_center\":return{x:(r+i)/2,y:(n+a)/2};case\"right\":case\"center_right\":return{x:i,y:(n+a)/2}}}_index_data(t){const{min:e,max:s}=Math,{data_size:r}=this;for(let i=0;i(0,n.__importStar)(e(425))));this.glglyph=new s(t.regl_wrapper,this)}}scenterxy(e){return[this.sx[e],this.sy[e]]}_set_data(){const{orientation:e,size:t,aspect_scale:s}=this.model,{q:i,r}=this,n=this.q.length;this._x=new Float64Array(n),this._y=new Float64Array(n);const{_x:a,_y:l}=this,o=Math.sqrt(3);if(\"pointytop\"==e)for(let e=0;e({r:[c.NumberSpec,{field:\"r\"}],q:[c.NumberSpec,{field:\"q\"}],scale:[c.NumberSpec,1],size:[e,1],aspect_scale:[e,1],orientation:[_.HexTileOrientation,\"pointytop\"]}))),a.override({line_color:null})},\n function _(e,a,t,_,r){var n;_();const s=e(280),o=e(173),i=e(201);class p extends s.ImageBaseView{connect_signals(){super.connect_signals(),this.connect(this.model.color_mapper.change,(()=>this._update_image()))}_update_image(){null!=this.image_data&&(this._set_data(null),this.renderer.request_render())}_flat_img_to_buf8(e){return this.model.color_mapper.rgba_mapper.v_compute(e)}}t.ImageView=p,p.__name__=\"ImageView\";class m extends s.ImageBase{constructor(e){super(e)}}t.Image=m,n=m,m.__name__=\"Image\",n.prototype.default_view=p,n.define((({Ref:e})=>({color_mapper:[e(o.ColorMapper),()=>new i.LinearColorMapper({palette:[\"#000000\",\"#252525\",\"#525252\",\"#737373\",\"#969696\",\"#bdbdbd\",\"#d9d9d9\",\"#f0f0f0\",\"#ffffff\"]})]})))},\n function _(e,t,i,s,a){s();const h=e(1);var n;const r=e(178),_=e(24),d=(0,h.__importStar)(e(18)),l=e(72),g=e(9),o=e(29),c=e(11);class m extends r.XYGlyphView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.global_alpha.change,(()=>this.renderer.request_render()))}_render(e,t,i){const{image_data:s,sx:a,sy:h,sw:n,sh:r,global_alpha:_}=null!=i?i:this,d=e.getImageSmoothingEnabled();e.setImageSmoothingEnabled(!1);const l=_.is_Scalar();l&&(e.globalAlpha=_.value);for(const i of t){const t=s[i],_=a[i],d=h[i],g=n[i],o=r[i],c=this.global_alpha.get(i);if(null==t||!isFinite(_+d+g+o+c))continue;l||(e.globalAlpha=c);const m=d;e.translate(0,m),e.scale(1,-1),e.translate(0,-m),e.drawImage(t,0|_,0|d,g,o),e.translate(0,m),e.scale(1,-1),e.translate(0,-m)}e.setImageSmoothingEnabled(d)}_set_data(e){this._set_width_heigh_data();for(let t=0,i=this.image.length;t({image:[d.NDArraySpec,{field:\"image\"}],dw:[d.DistanceSpec,{field:\"dw\"}],dh:[d.DistanceSpec,{field:\"dh\"}],global_alpha:[d.NumberSpec,{value:1}],dilate:[e,!1]})))},\n function _(e,a,t,r,_){var n;r();const s=e(280),m=e(8);class i extends s.ImageBaseView{_flat_img_to_buf8(e){let a;return a=(0,m.isArray)(e)?new Uint32Array(e):e,new Uint8ClampedArray(a.buffer)}}t.ImageRGBAView=i,i.__name__=\"ImageRGBAView\";class g extends s.ImageBase{constructor(e){super(e)}}t.ImageRGBA=g,n=g,g.__name__=\"ImageRGBA\",n.prototype.default_view=i},\n function _(e,t,s,r,a){r();const i=e(1);var n;const o=e(178),c=e(24),_=e(20),h=(0,i.__importStar)(e(18)),l=e(12),d=e(136);class m extends o.XYGlyphView{constructor(){super(...arguments),this._images_rendered=!1,this._set_data_iteration=0}connect_signals(){super.connect_signals(),this.connect(this.model.properties.global_alpha.change,(()=>this.renderer.request_render()))}_index_data(e){const{data_size:t}=this;for(let s=0;s{this._set_data_iteration==r&&(this.image[a]=e,this.renderer.request_render())},attempts:t+1,timeout:s})}const a=\"data\"==this.model.properties.w.units,i=\"data\"==this.model.properties.h.units,n=this._x.length,o=new c.ScreenArray(a?2*n:n),_=new c.ScreenArray(i?2*n:n),{anchor:h}=this.model;function m(e,t){switch(h){case\"top_left\":case\"bottom_left\":case\"left\":case\"center_left\":return[e,e+t];case\"top\":case\"top_center\":case\"bottom\":case\"bottom_center\":case\"center\":case\"center_center\":return[e-t/2,e+t/2];case\"top_right\":case\"bottom_right\":case\"right\":case\"center_right\":return[e-t,e]}}function g(e,t){switch(h){case\"top_left\":case\"top\":case\"top_center\":case\"top_right\":return[e,e-t];case\"bottom_left\":case\"bottom\":case\"bottom_center\":case\"bottom_right\":return[e+t,e];case\"left\":case\"center_left\":case\"center\":case\"center_center\":case\"right\":case\"center_right\":return[e+t/2,e-t/2]}}if(a)for(let e=0;e({url:[h.StringSpec,{field:\"url\"}],anchor:[_.Anchor,\"top_left\"],global_alpha:[h.NumberSpec,{value:1}],angle:[h.AngleSpec,0],w:[h.NullDistanceSpec,null],h:[h.NullDistanceSpec,null],dilate:[e,!1],retry_attempts:[t,0],retry_timeout:[t,0]})))},\n function _(e,t,s,i,n){i();const o=e(1);var r;const l=e(78),_=e(48),c=(0,o.__importStar)(e(185)),h=(0,o.__importStar)(e(18)),a=e(12),d=e(13),x=e(179),y=e(184),g=e(72);class p extends x.GlyphView{_project_data(){l.inplace.project_xy(this._xs.array,this._ys.array)}_index_data(e){const{data_size:t}=this;for(let s=0;s0&&o.set(e,s)}return new g.Selection({indices:[...o.keys()],multiline_indices:(0,d.to_object)(o)})}get_interpolation_hit(e,t,s){const i=this._xs.get(e),n=this._ys.get(e),o=i[t],r=n[t],l=i[t+1],_=n[t+1];return(0,y.line_interpolation)(this.renderer,s,o,r,l,_)}draw_legend_for_index(e,t,s){(0,y.generic_line_vector_legend)(this.visuals,e,t,s)}scenterxy(){throw new Error(`${this}.scenterxy() is not implemented`)}}s.MultiLineView=p,p.__name__=\"MultiLineView\";class u extends x.Glyph{constructor(e){super(e)}}s.MultiLine=u,r=u,u.__name__=\"MultiLine\",r.prototype.default_view=p,r.define((({})=>({xs:[h.XCoordinateSeqSpec,{field:\"xs\"}],ys:[h.YCoordinateSeqSpec,{field:\"ys\"}]}))),r.mixins(_.LineVector)},\n function _(t,e,s,n,i){n();const o=t(1);var r;const l=t(181),h=t(179),a=t(184),_=t(12),c=t(12),d=t(48),x=(0,o.__importStar)(t(185)),y=(0,o.__importStar)(t(18)),f=t(72),g=t(11);class p extends h.GlyphView{_project_data(){}_index_data(t){const{min:e,max:s}=Math,{data_size:n}=this;for(let i=0;i1&&c.length>1)for(let s=1,n=i.length;s1){let r=!1;for(let t=1;t({xs:[y.XCoordinateSeqSeqSeqSpec,{field:\"xs\"}],ys:[y.YCoordinateSeqSeqSeqSpec,{field:\"ys\"}]}))),r.mixins([d.LineVector,d.FillVector,d.HatchVector])},\n function _(a,e,l,s,_){var t;s();const i=a(274),n=a(12);class p extends i.EllipseOvalView{_map_data(){super._map_data(),(0,n.mul)(this.sw,.75)}}l.OvalView=p,p.__name__=\"OvalView\";class v extends i.EllipseOval{constructor(a){super(a)}}l.Oval=v,t=v,v.__name__=\"Oval\",t.prototype.default_view=p},\n function _(e,t,s,i,n){i();const r=e(1);var a;const o=e(179),c=e(184),_=e(12),h=e(48),l=(0,r.__importStar)(e(185)),d=(0,r.__importStar)(e(18)),y=e(72),p=e(11),x=e(78);class f extends o.GlyphView{_project_data(){x.inplace.project_xy(this._xs.array,this._ys.array)}_index_data(e){const{data_size:t}=this;for(let s=0;s({xs:[d.XCoordinateSeqSpec,{field:\"xs\"}],ys:[d.YCoordinateSeqSpec,{field:\"ys\"}]}))),a.mixins([h.LineVector,h.FillVector,h.HatchVector])},\n function _(t,e,i,o,r){o();const s=t(1);var a;const n=t(277),l=(0,s.__importStar)(t(18));class _ extends n.BoxView{async lazy_initialize(){await super.lazy_initialize();const{webgl:e}=this.renderer.plot_view.canvas_view;if(null!=e&&e.regl_wrapper.has_webgl){const{LRTBGL:i}=await Promise.resolve().then((()=>(0,s.__importStar)(t(427))));this.glglyph=new i(e.regl_wrapper,this)}}scenterxy(t){return[this.sleft[t]/2+this.sright[t]/2,this.stop[t]/2+this.sbottom[t]/2]}_lrtb(t){return[this._left[t],this._right[t],this._top[t],this._bottom[t]]}}i.QuadView=_,_.__name__=\"QuadView\";class p extends n.Box{constructor(t){super(t)}}i.Quad=p,a=p,p.__name__=\"Quad\",a.prototype.default_view=_,a.define((({})=>({right:[l.XCoordinateSpec,{field:\"right\"}],bottom:[l.YCoordinateSpec,{field:\"bottom\"}],left:[l.XCoordinateSpec,{field:\"left\"}],top:[l.YCoordinateSpec,{field:\"top\"}]})))},\n function _(e,t,i,n,s){n();const c=e(1);var o;const r=e(48),a=e(78),_=e(179),d=e(184),l=(0,c.__importStar)(e(18));function x(e,t,i){if(t==(e+i)/2)return[e,i];{const n=(e-t)/(e-2*t+i),s=e*(1-n)**2+2*t*(1-n)*n+i*n**2;return[Math.min(e,i,s),Math.max(e,i,s)]}}class y extends _.GlyphView{_project_data(){a.inplace.project_xy(this._x0,this._y0),a.inplace.project_xy(this._x1,this._y1)}_index_data(e){const{_x0:t,_x1:i,_y0:n,_y1:s,_cx:c,_cy:o,data_size:r}=this;for(let a=0;a({x0:[l.XCoordinateSpec,{field:\"x0\"}],y0:[l.YCoordinateSpec,{field:\"y0\"}],x1:[l.XCoordinateSpec,{field:\"x1\"}],y1:[l.YCoordinateSpec,{field:\"y1\"}],cx:[l.XCoordinateSpec,{field:\"cx\"}],cy:[l.YCoordinateSpec,{field:\"cy\"}]}))),o.mixins(r.LineVector)},\n function _(e,t,s,i,n){i();const l=e(1);var a;const r=e(178),o=e(184),h=e(48),_=e(24),c=(0,l.__importStar)(e(18));class g extends 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r(t.regl_wrapper,this)}}_render(e,t,r){const{sx:a,sy:s,size:i,angle:n,marker:l}=null!=r?r:this;for(const r of t){const t=a[r],c=s[r],o=i.get(r),g=n.get(r),w=l.get(r);if(!isFinite(t+c+o+g)||null==w)continue;const p=o/2;e.beginPath(),e.translate(t,c),g&&e.rotate(g),_.marker_funcs[w](e,r,p,this.visuals),g&&e.rotate(-g),e.translate(-t,-c)}}draw_legend_for_index(e,{x0:t,x1:r,y0:a,y1:s},i){const n=i+1,l=this.marker.get(i),_=Object.assign(Object.assign({},this._get_legend_args({x0:t,x1:r,y0:a,y1:s},i)),{marker:new c.UniformScalar(l,n)});this._render(e,[i],_)}}r.ScatterView=o,o.__name__=\"ScatterView\";class g extends l.Marker{constructor(e){super(e)}}r.Scatter=g,n=g,g.__name__=\"Scatter\",n.prototype.default_view=o,n.define((()=>({marker:[c.MarkerSpec,{value:\"circle\"}]})))},\n function _(e,t,s,n,i){n();const r=e(1);var a;const c=e(178),o=e(48),_=(0,r.__importStar)(e(185)),h=(0,r.__importStar)(e(18)),l=e(9),x=e(72);class d extends c.XYGlyphView{_render(e,t,s){const{sx:n,sy:i,size:r,angle:a}=null!=s?s:this;for(const s of t){const t=n[s],c=i[s],o=r.get(s),_=a.get(s);if(!isFinite(t+c+o+_))continue;const h=o/2;e.beginPath(),e.translate(t,c),_&&e.rotate(_),this._render_one(e,s,h,this.visuals),_&&e.rotate(-_),e.translate(-t,-c)}}_mask_data(){const{x_target:e,y_target:t}=this.renderer.plot_view.frame,s=e.widen(this.max_size).map((e=>this.renderer.xscale.invert(e))),n=t.widen(this.max_size).map((e=>this.renderer.yscale.invert(e)));return this.index.indices({x0:s.start,x1:s.end,y0:n.start,y1:n.end})}_hit_point(e){const{sx:t,sy:s}=e,{max_size:n}=this,{hit_dilation:i}=this.model,r=t-n*i,a=t+n*i,[c,o]=this.renderer.xscale.r_invert(r,a),_=s-n*i,h=s+n*i,[l,d]=this.renderer.yscale.r_invert(_,h),y=this.index.indices({x0:c,x1:o,y0:l,y1:d}),g=[];for(const e of y){const n=this.size.get(e)/2*i;Math.abs(this.sx[e]-t)<=n&&Math.abs(this.sy[e]-s)<=n&&g.push(e)}return new x.Selection({indices:g})}_hit_span(e){const{sx:t,sy:s}=e,n=this.bounds(),i=this.max_size/2;let r,a,c,o;if(\"h\"==e.direction){c=n.y0,o=n.y1;const e=t-i,s=t+i;[r,a]=this.renderer.xscale.r_invert(e,s)}else{r=n.x0,a=n.x1;const e=s-i,t=s+i;[c,o]=this.renderer.yscale.r_invert(e,t)}const _=[...this.index.indices({x0:r,x1:a,y0:c,y1:o})];return new x.Selection({indices:_})}_hit_rect(e){const{sx0:t,sx1:s,sy0:n,sy1:i}=e,[r,a]=this.renderer.xscale.r_invert(t,s),[c,o]=this.renderer.yscale.r_invert(n,i),_=[...this.index.indices({x0:r,x1:a,y0:c,y1:o})];return new x.Selection({indices:_})}_hit_poly(e){const{sx:t,sy:s}=e,n=(0,l.range)(0,this.sx.length),i=[];for(let e=0,r=n.length;e({size:[h.ScreenSizeSpec,{value:4}],angle:[h.AngleSpec,0],hit_dilation:[e,1]})))},\n function _(l,o,n,t,i){t();const e=Math.sqrt(3),a=Math.sqrt(5),c=(a+1)/4,p=Math.sqrt((5-a)/8),r=(a-1)/4,h=Math.sqrt((5+a)/8);function u(l,o){l.rotate(Math.PI/4),s(l,o),l.rotate(-Math.PI/4)}function f(l,o){const n=o*e,t=n/3;l.moveTo(-n/2,-t),l.lineTo(0,0),l.lineTo(n/2,-t),l.lineTo(0,0),l.lineTo(0,o)}function s(l,o){l.moveTo(0,o),l.lineTo(0,-o),l.moveTo(-o,0),l.lineTo(o,0)}function T(l,o){l.moveTo(0,o),l.lineTo(o/1.5,0),l.lineTo(0,-o),l.lineTo(-o/1.5,0),l.closePath()}function y(l,o){const n=o*e,t=n/3;l.moveTo(-o,t),l.lineTo(o,t),l.lineTo(0,t-n),l.closePath()}function v(l,o,n,t){l.arc(0,0,n,0,2*Math.PI,!1),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)}function d(l,o,n,t){T(l,n),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)}function _(l,o,n,t){!function(l,o){l.beginPath(),l.arc(0,0,o/4,0,2*Math.PI,!1),l.closePath()}(l,n),t.line.set_vectorize(l,o),l.fillStyle=l.strokeStyle,l.fill()}function P(l,o,n,t){!function(l,o){const n=o/2,t=e*n;l.moveTo(o,0),l.lineTo(n,-t),l.lineTo(-n,-t),l.lineTo(-o,0),l.lineTo(-n,t),l.lineTo(n,t),l.closePath()}(l,n),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)}function m(l,o,n,t){const i=2*n;l.rect(-n,-n,i,i),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)}function q(l,o,n,t){!function(l,o){const n=Math.sqrt(5-2*a)*o;l.moveTo(0,-o),l.lineTo(n*r,n*h-o),l.lineTo(n*(1+r),n*h-o),l.lineTo(n*(1+r-c),n*(h+p)-o),l.lineTo(n*(1+2*r-c),n*(2*h+p)-o),l.lineTo(0,2*n*h-o),l.lineTo(-n*(1+2*r-c),n*(2*h+p)-o),l.lineTo(-n*(1+r-c),n*(h+p)-o),l.lineTo(-n*(1+r),n*h-o),l.lineTo(-n*r,n*h-o),l.closePath()}(l,n),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)}function M(l,o,n,t){y(l,n),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)}n.marker_funcs={asterisk:function(l,o,n,t){s(l,n),u(l,n),t.line.apply(l,o)},circle:v,circle_cross:function(l,o,n,t){l.arc(0,0,n,0,2*Math.PI,!1),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.doit&&(t.line.set_vectorize(l,o),s(l,n),l.stroke())},circle_dot:function(l,o,n,t){v(l,o,n,t),_(l,o,n,t)},circle_y:function(l,o,n,t){l.arc(0,0,n,0,2*Math.PI,!1),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.doit&&(t.line.set_vectorize(l,o),f(l,n),l.stroke())},circle_x:function(l,o,n,t){l.arc(0,0,n,0,2*Math.PI,!1),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.doit&&(t.line.set_vectorize(l,o),u(l,n),l.stroke())},cross:function(l,o,n,t){s(l,n),t.line.apply(l,o)},diamond:d,diamond_dot:function(l,o,n,t){d(l,o,n,t),_(l,o,n,t)},diamond_cross:function(l,o,n,t){T(l,n),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.doit&&(t.line.set_vectorize(l,o),l.moveTo(0,n),l.lineTo(0,-n),l.moveTo(-n/1.5,0),l.lineTo(n/1.5,0),l.stroke())},dot:_,hex:P,hex_dot:function(l,o,n,t){P(l,o,n,t),_(l,o,n,t)},inverted_triangle:function(l,o,n,t){l.rotate(Math.PI),y(l,n),l.rotate(-Math.PI),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)},plus:function(l,o,n,t){const i=3*n/8,e=[i,i,n,n,i,i,-i,-i,-n,-n,-i,-i],a=[n,i,i,-i,-i,-n,-n,-i,-i,i,i,n];l.beginPath();for(let o=0;o<12;o++)l.lineTo(e[o],a[o]);l.closePath(),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)},square:m,square_cross:function(l,o,n,t){const i=2*n;l.rect(-n,-n,i,i),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.doit&&(t.line.set_vectorize(l,o),s(l,n),l.stroke())},square_dot:function(l,o,n,t){m(l,o,n,t),_(l,o,n,t)},square_pin:function(l,o,n,t){const i=3*n/8;l.moveTo(-n,-n),l.quadraticCurveTo(0,-i,n,-n),l.quadraticCurveTo(i,0,n,n),l.quadraticCurveTo(0,i,-n,n),l.quadraticCurveTo(-i,0,-n,-n),l.closePath(),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)},square_x:function(l,o,n,t){const i=2*n;l.rect(-n,-n,i,i),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.doit&&(t.line.set_vectorize(l,o),l.moveTo(-n,n),l.lineTo(n,-n),l.moveTo(-n,-n),l.lineTo(n,n),l.stroke())},star:q,star_dot:function(l,o,n,t){q(l,o,n,t),_(l,o,n,t)},triangle:M,triangle_dot:function(l,o,n,t){M(l,o,n,t),_(l,o,n,t)},triangle_pin:function(l,o,n,t){const i=n*e,a=i/3,c=3*a/8;l.moveTo(-n,a),l.quadraticCurveTo(0,c,n,a),l.quadraticCurveTo(e*c/2,c/2,0,a-i),l.quadraticCurveTo(-e*c/2,c/2,-n,a),l.closePath(),t.fill.apply(l,o),t.hatch.apply(l,o),t.line.apply(l,o)},dash:function(l,o,n,t){!function(l,o){l.moveTo(-o,0),l.lineTo(o,0)}(l,n),t.line.apply(l,o)},x:function(l,o,n,t){u(l,n),t.line.apply(l,o)},y:function(l,o,n,t){f(l,n),t.line.apply(l,o)}}},\n function _(e,t,s,i,n){i();const r=e(1);var o;const _=(0,r.__importStar)(e(185)),h=(0,r.__importStar)(e(18)),c=e(48),a=e(78),d=e(179),x=e(184),l=e(72);class y extends d.GlyphView{_project_data(){a.inplace.project_xy(this._x0,this._y0),a.inplace.project_xy(this._x1,this._y1)}_index_data(e){const{min:t,max:s}=Math,{_x0:i,_x1:n,_y0:r,_y1:o,data_size:_}=this;for(let h=0;h<_;h++){const _=i[h],c=n[h],a=r[h],d=o[h];e.add_rect(t(_,c),t(a,d),s(_,c),s(a,d))}}_render(e,t,s){if(this.visuals.line.doit){const{sx0:i,sy0:n,sx1:r,sy1:o}=null!=s?s:this;for(const s of t){const t=i[s],_=n[s],h=r[s],c=o[s];isFinite(t+_+h+c)&&(e.beginPath(),e.moveTo(t,_),e.lineTo(h,c),this.visuals.line.set_vectorize(e,s),e.stroke())}}}_hit_point(e){const{sx:t,sy:s}=e,i={x:t,y:s},[n,r]=this.renderer.xscale.r_invert(t-2,t+2),[o,h]=this.renderer.yscale.r_invert(s-2,s+2),c=this.index.indices({x0:n,y0:o,x1:r,y1:h}),a=[];for(const e of c){const t=Math.max(2,this.line_width.get(e)/2)**2,s={x:this.sx0[e],y:this.sy0[e]},n={x:this.sx1[e],y:this.sy1[e]};_.dist_to_segment_squared(i,s,n)({x0:[h.XCoordinateSpec,{field:\"x0\"}],y0:[h.YCoordinateSpec,{field:\"y0\"}],x1:[h.XCoordinateSpec,{field:\"x1\"}],y1:[h.YCoordinateSpec,{field:\"y1\"}]}))),o.mixins(c.LineVector)},\n function _(t,e,s,i,n){i();const o=t(1);var _;const l=t(178),a=(0,o.__importStar)(t(48)),c=t(296);class r extends l.XYGlyphView{_set_data(){const{tension:t,closed:e}=this.model;[this._xt,this._yt]=(0,c.catmullrom_spline)(this._x,this._y,20,t,e)}_map_data(){const{x_scale:t,y_scale:e}=this.renderer.coordinates;this.sxt=t.v_compute(this._xt),this.syt=e.v_compute(this._yt)}_render(t,e,s){const{sxt:i,syt:n}=null!=s?s:this;let o=!0;t.beginPath();const _=i.length;for(let e=0;e<_;e++){const s=i[e],_=n[e];isFinite(s+_)?o?(t.moveTo(s,_),o=!1):t.lineTo(s,_):o=!0}this.visuals.line.set_value(t),t.stroke()}}s.SplineView=r,r.__name__=\"SplineView\";class h extends 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n=1,t=0;n1&&(e.stroke(),o=!1)}o?(e.lineTo(t,r),e.lineTo(a,c)):(e.beginPath(),e.moveTo(s[n],i[n]),o=!0),l=n}e.lineTo(s[a-1],i[a-1]),e.stroke()}}draw_legend_for_index(e,t,n){(0,r.generic_line_scalar_legend)(this.visuals,e,t)}}n.StepView=f,f.__name__=\"StepView\";class u extends a.XYGlyph{constructor(e){super(e)}}n.Step=u,l=u,u.__name__=\"Step\",l.prototype.default_view=f,l.mixins(c.LineScalar),l.define((()=>({mode:[_.StepMode,\"before\"]})))},\n function _(t,e,s,i,n){i();const o=t(1);var _;const h=t(178),l=t(48),r=(0,o.__importStar)(t(185)),a=(0,o.__importStar)(t(18)),c=t(121),x=t(11),u=t(72);class f extends h.XYGlyphView{_rotate_point(t,e,s,i,n){return[(t-s)*Math.cos(n)-(e-i)*Math.sin(n)+s,(t-s)*Math.sin(n)+(e-i)*Math.cos(n)+i]}_text_bounds(t,e,s,i){return[[t,t+s,t+s,t,t],[e,e,e-i,e-i,e]]}_render(t,e,s){const{sx:i,sy:n,x_offset:o,y_offset:_,angle:h,text:l}=null!=s?s:this;this._sys=[],this._sxs=[];for(const s of e){const e=this._sxs[s]=[],r=this._sys[s]=[],a=i[s],x=n[s],u=o.get(s),f=_.get(s),p=h.get(s),g=l.get(s);if(isFinite(a+x+u+f+p)&&null!=g&&this.visuals.text.doit){const i=`${g}`;t.save(),t.translate(a+u,x+f),t.rotate(p),this.visuals.text.set_vectorize(t,s);const n=this.visuals.text.font_value(s),{height:o}=(0,c.font_metrics)(n),_=this.text_line_height.get(s)*o;if(-1==i.indexOf(\"\\n\")){t.fillText(i,0,0);const s=a+u,n=x+f,o=t.measureText(i).width,[h,l]=this._text_bounds(s,n,o,_);e.push(h),r.push(l)}else{const n=i.split(\"\\n\"),o=_*n.length,h=this.text_baseline.get(s);let l;switch(h){case\"top\":l=0;break;case\"middle\":l=-o/2+_/2;break;case\"bottom\":l=-o+_;break;default:l=0,console.warn(`'${h}' baseline not supported with multi line text`)}for(const s of n){t.fillText(s,0,l);const i=a+u,n=l+x+f,o=t.measureText(s).width,[h,c]=this._text_bounds(i,n,o,_);e.push(h),r.push(c),l+=_}}t.restore()}}}_hit_point(t){const{sx:e,sy:s}=t,i=[];for(let t=0;t({text:[a.NullStringSpec,{field:\"text\"}],angle:[a.AngleSpec,0],x_offset:[a.NumberSpec,0],y_offset:[a.NumberSpec,0]})))},\n function _(t,e,s,i,r){i();const h=t(1);var o;const a=t(277),n=t(24),_=(0,h.__importStar)(t(18));class l extends a.BoxView{async lazy_initialize(){await super.lazy_initialize();const{webgl:e}=this.renderer.plot_view.canvas_view;if(null!=e&&e.regl_wrapper.has_webgl){const{LRTBGL:s}=await Promise.resolve().then((()=>(0,h.__importStar)(t(427))));this.glglyph=new s(e.regl_wrapper,this)}}scenterxy(t){return[this.sx[t],(this.stop[t]+this.sbottom[t])/2]}_lrtb(t){const e=this.width.get(t)/2,s=this._x[t],i=this._top[t],r=this._bottom[t];return[s-e,s+e,Math.max(i,r),Math.min(i,r)]}_map_data(){this.sx=this.renderer.xscale.v_compute(this._x),this.sw=this.sdist(this.renderer.xscale,this._x,this.width,\"center\"),this.stop=this.renderer.yscale.v_compute(this._top),this.sbottom=this.renderer.yscale.v_compute(this._bottom);const t=this.sx.length;this.sleft=new n.ScreenArray(t),this.sright=new n.ScreenArray(t);for(let e=0;e({x:[_.XCoordinateSpec,{field:\"x\"}],bottom:[_.YCoordinateSpec,{value:0}],width:[_.NumberSpec,{value:1}],top:[_.YCoordinateSpec,{field:\"top\"}]})))},\n function _(e,s,t,i,n){i();const r=e(1);var a;const c=e(178),d=e(184),l=e(48),h=e(24),o=e(20),_=(0,r.__importStar)(e(18)),u=e(10),g=e(72),x=e(12);class p extends c.XYGlyphView{_map_data(){\"data\"==this.model.properties.radius.units?this.sradius=this.sdist(this.renderer.xscale,this._x,this.radius):this.sradius=(0,h.to_screen)(this.radius),this.max_sradius=(0,x.max)(this.sradius)}_render(e,s,t){const{sx:i,sy:n,sradius:r,start_angle:a,end_angle:c}=null!=t?t:this,d=\"anticlock\"==this.model.direction;for(const t of s){const s=i[t],l=n[t],h=r[t],o=a.get(t),_=c.get(t);isFinite(s+l+h+o+_)&&(e.beginPath(),e.arc(s,l,h,o,_,d),e.lineTo(s,l),e.closePath(),this.visuals.fill.apply(e,t),this.visuals.hatch.apply(e,t),this.visuals.line.apply(e,t))}}_hit_point(e){let s,t,i,n,r;const{sx:a,sy:c}=e,d=this.renderer.xscale.invert(a),l=this.renderer.yscale.invert(c);t=a-this.max_sradius,i=a+this.max_sradius;const[h,o]=this.renderer.xscale.r_invert(t,i);n=c-this.max_sradius,r=c+this.max_sradius;const[_,x]=this.renderer.yscale.r_invert(n,r),p=[];for(const e of this.index.indices({x0:h,x1:o,y0:_,y1:x})){const a=this.sradius[e]**2;[t,i]=this.renderer.xscale.r_compute(d,this._x[e]),[n,r]=this.renderer.yscale.r_compute(l,this._y[e]),s=(t-i)**2+(n-r)**2,s<=a&&p.push(e)}const y=\"anticlock\"==this.model.direction,m=[];for(const e of p){const s=Math.atan2(c-this.sy[e],a-this.sx[e]);(0,u.angle_between)(-s,-this.start_angle.get(e),-this.end_angle.get(e),y)&&m.push(e)}return new g.Selection({indices:m})}draw_legend_for_index(e,s,t){(0,d.generic_area_vector_legend)(this.visuals,e,s,t)}scenterxy(e){const s=this.sradius[e]/2,t=(this.start_angle.get(e)+this.end_angle.get(e))/2;return[this.sx[e]+s*Math.cos(t),this.sy[e]+s*Math.sin(t)]}}t.WedgeView=p,p.__name__=\"WedgeView\";class y extends c.XYGlyph{constructor(e){super(e)}}t.Wedge=y,a=y,y.__name__=\"Wedge\",a.prototype.default_view=p,a.mixins([l.LineVector,l.FillVector,l.HatchVector]),a.define((({})=>({direction:[o.Direction,\"anticlock\"],radius:[_.DistanceSpec,{field:\"radius\"}],start_angle:[_.AngleSpec,{field:\"start_angle\"}],end_angle:[_.AngleSpec,{field:\"end_angle\"}]})))},\n function _(t,_,r,o,a){o();const e=t(1);(0,e.__exportStar)(t(302),r),(0,e.__exportStar)(t(303),r),(0,e.__exportStar)(t(304),r)},\n function _(e,t,d,n,s){n();const o=e(53),r=e(12),_=e(9),i=e(72);class c extends o.Model{constructor(e){super(e)}_hit_test(e,t,d){if(!t.model.visible)return null;const n=d.glyph.hit_test(e);return null==n?null:d.model.view.convert_selection_from_subset(n)}}d.GraphHitTestPolicy=c,c.__name__=\"GraphHitTestPolicy\";class a extends c{constructor(e){super(e)}hit_test(e,t){return this._hit_test(e,t,t.edge_view)}do_selection(e,t,d,n){if(null==e)return!1;const s=t.edge_renderer.data_source.selected;return s.update(e,d,n),t.edge_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,d,n,s){if(null==e)return!1;const{edge_renderer:o}=d.model,r=o.get_selection_manager().get_or_create_inspector(d.edge_view.model);return r.update(e,n,s),d.edge_view.model.data_source.setv({inspected:r},{silent:!0}),d.edge_view.model.data_source.inspect.emit([d.edge_view.model,{geometry:t}]),!r.is_empty()}}d.EdgesOnly=a,a.__name__=\"EdgesOnly\";class l extends c{constructor(e){super(e)}hit_test(e,t){return this._hit_test(e,t,t.node_view)}do_selection(e,t,d,n){if(null==e)return!1;const s=t.node_renderer.data_source.selected;return s.update(e,d,n),t.node_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,d,n,s){if(null==e)return!1;const{node_renderer:o}=d.model,r=o.get_selection_manager().get_or_create_inspector(d.node_view.model);return r.update(e,n,s),d.node_view.model.data_source.setv({inspected:r},{silent:!0}),d.node_view.model.data_source.inspect.emit([d.node_view.model,{geometry:t}]),!r.is_empty()}}d.NodesOnly=l,l.__name__=\"NodesOnly\";class u extends c{constructor(e){super(e)}hit_test(e,t){return this._hit_test(e,t,t.node_view)}get_linked_edges(e,t,d){let n=[];\"selection\"==d?n=e.selected.indices.map((t=>e.data.index[t])):\"inspection\"==d&&(n=e.inspected.indices.map((t=>e.data.index[t])));const s=[];for(let e=0;e(0,r.indexOf)(e.data.index,t)));return new i.Selection({indices:o})}do_selection(e,t,d,n){if(null==e)return!1;const s=t.edge_renderer.data_source.selected;s.update(e,d,n);const o=t.node_renderer.data_source.selected,r=this.get_linked_nodes(t.node_renderer.data_source,t.edge_renderer.data_source,\"selection\");return o.update(r,d,n),t.edge_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,d,n,s){if(null==e)return!1;const o=d.edge_view.model.data_source.selection_manager.get_or_create_inspector(d.edge_view.model);o.update(e,n,s),d.edge_view.model.data_source.setv({inspected:o},{silent:!0});const r=d.node_view.model.data_source.selection_manager.get_or_create_inspector(d.node_view.model),_=this.get_linked_nodes(d.node_view.model.data_source,d.edge_view.model.data_source,\"inspection\");return r.update(_,n,s),d.node_view.model.data_source.setv({inspected:r},{silent:!0}),d.edge_view.model.data_source.inspect.emit([d.edge_view.model,{geometry:t}]),!o.is_empty()}}d.EdgesAndLinkedNodes=m,m.__name__=\"EdgesAndLinkedNodes\"},\n function _(e,o,t,r,n){var s;r();const a=e(53),d=e(260);class _ extends a.Model{constructor(e){super(e)}get node_coordinates(){return new u({layout:this})}get edge_coordinates(){return new i({layout:this})}}t.LayoutProvider=_,_.__name__=\"LayoutProvider\";class c extends d.CoordinateTransform{constructor(e){super(e)}}t.GraphCoordinates=c,s=c,c.__name__=\"GraphCoordinates\",s.define((({Ref:e})=>({layout:[e(_)]})));class u extends c{constructor(e){super(e)}_v_compute(e){const[o,t]=this.layout.get_node_coordinates(e);return{x:o,y:t}}}t.NodeCoordinates=u,u.__name__=\"NodeCoordinates\";class i extends c{constructor(e){super(e)}_v_compute(e){const[o,t]=this.layout.get_edge_coordinates(e);return{x:o,y:t}}}t.EdgeCoordinates=i,i.__name__=\"EdgeCoordinates\"},\n function _(t,a,l,e,n){var o;e();const r=t(303);class u extends r.LayoutProvider{constructor(t){super(t)}get_node_coordinates(t){var a;const l=null!==(a=t.data.index)&&void 0!==a?a:[],e=l.length,n=new Float64Array(e),o=new Float64Array(e);for(let t=0;t({graph_layout:[l(a(t,t)),{}]})))},\n function _(i,d,n,r,G){r(),G(\"Grid\",i(306).Grid)},\n function _(i,e,n,s,t){s();const r=i(1);var o;const d=i(127),_=i(129),a=i(130),l=(0,r.__importStar)(i(48)),h=i(8);class c extends _.GuideRendererView{_render(){const i=this.layer.ctx;i.save(),this._draw_regions(i),this._draw_minor_grids(i),this._draw_grids(i),i.restore()}connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.request_render()))}_draw_regions(i){if(!this.visuals.band_fill.doit&&!this.visuals.band_hatch.doit)return;const[e,n]=this.grid_coords(\"major\",!1);for(let s=0;sn[1]&&(t=n[1]);else{[s,t]=n;for(const i of this.plot_view.axis_views)i.dimension==this.model.dimension&&i.model.x_range_name==this.model.x_range_name&&i.model.y_range_name==this.model.y_range_name&&([s,t]=i.computed_bounds)}return[s,t]}grid_coords(i,e=!0){const n=this.model.dimension,s=(n+1)%2,[t,r]=this.ranges();let[o,d]=this.computed_bounds();[o,d]=[Math.min(o,d),Math.max(o,d)];const _=[[],[]],a=this.model.get_ticker();if(null==a)return _;const l=a.get_ticks(o,d,t,r.min)[i],h=t.min,c=t.max,u=r.min,m=r.max;e||(l[0]!=h&&l.splice(0,0,h),l[l.length-1]!=c&&l.push(c));for(let i=0;i({bounds:[r(t(i,i),e),\"auto\"],dimension:[n(0,1),0],axis:[o(s(d.Axis)),null],ticker:[o(s(a.Ticker)),null]}))),o.override({level:\"underlay\",band_fill_color:null,band_fill_alpha:0,grid_line_color:\"#e5e5e5\",minor_grid_line_color:null})},\n function _(o,a,x,B,e){B(),e(\"Box\",o(308).Box),e(\"Column\",o(310).Column),e(\"GridBox\",o(311).GridBox),e(\"HTMLBox\",o(312).HTMLBox),e(\"LayoutDOM\",o(309).LayoutDOM),e(\"Panel\",o(313).Panel),e(\"Row\",o(314).Row),e(\"Spacer\",o(315).Spacer),e(\"Tabs\",o(316).Tabs),e(\"WidgetBox\",o(319).WidgetBox)},\n function _(e,n,s,t,c){var i;t();const o=e(309);class r extends o.LayoutDOMView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.children.change,(()=>this.rebuild()))}get child_models(){return this.model.children}}s.BoxView=r,r.__name__=\"BoxView\";class a extends o.LayoutDOM{constructor(e){super(e)}}s.Box=a,i=a,a.__name__=\"Box\",i.define((({Number:e,Array:n,Ref:s})=>({children:[n(s(o.LayoutDOM)),[]],spacing:[e,0]})))},\n function _(t,i,e,s,o){var l;s();const n=t(53),h=t(20),a=t(43),r=t(19),_=t(8),c=t(22),u=t(121),d=t(113),p=t(226),m=t(207),g=t(44),w=t(235);class f extends p.DOMView{constructor(){super(...arguments),this._offset_parent=null,this._viewport={}}get is_layout_root(){return this.is_root||!(this.parent instanceof f)}get base_font_size(){const t=getComputedStyle(this.el).fontSize,i=(0,u.parse_css_font_size)(t);if(null!=i){const{value:t,unit:e}=i;if(\"px\"==e)return t}return null}initialize(){super.initialize(),this.el.style.position=this.is_layout_root?\"relative\":\"absolute\",this._child_views=new Map}async lazy_initialize(){await super.lazy_initialize(),await this.build_child_views()}remove(){for(const t of this.child_views)t.remove();this._child_views.clear(),super.remove()}connect_signals(){super.connect_signals(),this.is_layout_root&&(this._on_resize=()=>this.resize_layout(),window.addEventListener(\"resize\",this._on_resize),this._parent_observer=setInterval((()=>{const t=this.el.offsetParent;this._offset_parent!=t&&(this._offset_parent=t,null!=t&&(this.compute_viewport(),this.invalidate_layout()))}),250));const t=this.model.properties;this.on_change([t.width,t.height,t.min_width,t.min_height,t.max_width,t.max_height,t.margin,t.width_policy,t.height_policy,t.sizing_mode,t.aspect_ratio,t.visible],(()=>this.invalidate_layout())),this.on_change([t.background,t.css_classes],(()=>this.invalidate_render()))}disconnect_signals(){null!=this._parent_observer&&clearTimeout(this._parent_observer),null!=this._on_resize&&window.removeEventListener(\"resize\",this._on_resize),super.disconnect_signals()}css_classes(){return super.css_classes().concat(this.model.css_classes)}get child_views(){return this.child_models.map((t=>this._child_views.get(t)))}async build_child_views(){await(0,d.build_views)(this._child_views,this.child_models,{parent:this})}render(){super.render(),(0,a.empty)(this.el);const{background:t}=this.model;this.el.style.backgroundColor=null!=t?(0,c.color2css)(t):\"\",(0,a.classes)(this.el).clear().add(...this.css_classes());for(const t of this.child_views)this.el.appendChild(t.el),t.render()}update_layout(){for(const t of this.child_views)t.update_layout();this._update_layout()}update_position(){this.el.style.display=this.model.visible?\"block\":\"none\";const t=this.is_layout_root?this.layout.sizing.margin:void 0;(0,a.position)(this.el,this.layout.bbox,t);for(const t of this.child_views)t.update_position()}after_layout(){for(const t of this.child_views)t.after_layout();this._has_finished=!0}compute_viewport(){this._viewport=this._viewport_size()}renderTo(t){t.appendChild(this.el),this._offset_parent=this.el.offsetParent,this.compute_viewport(),this.build(),this.notify_finished()}build(){if(!this.is_layout_root)throw new Error(`${this.toString()} is not a root layout`);return this.render(),this.update_layout(),this.compute_layout(),this}async rebuild(){await this.build_child_views(),this.invalidate_render()}compute_layout(){const t=Date.now();this.layout.compute(this._viewport),this.update_position(),this.after_layout(),r.logger.debug(`layout computed in ${Date.now()-t} ms`)}resize_layout(){this.root.compute_viewport(),this.root.compute_layout()}invalidate_layout(){this.root.update_layout(),this.root.compute_layout()}invalidate_render(){this.render(),this.invalidate_layout()}has_finished(){if(!super.has_finished())return!1;for(const t of this.child_views)if(!t.has_finished())return!1;return!0}_width_policy(){return null!=this.model.width?\"fixed\":\"fit\"}_height_policy(){return null!=this.model.height?\"fixed\":\"fit\"}box_sizing(){let{width_policy:t,height_policy:i,aspect_ratio:e}=this.model;\"auto\"==t&&(t=this._width_policy()),\"auto\"==i&&(i=this._height_policy());const{sizing_mode:s}=this.model;if(null!=s)if(\"fixed\"==s)t=i=\"fixed\";else if(\"stretch_both\"==s)t=i=\"max\";else if(\"stretch_width\"==s)t=\"max\";else if(\"stretch_height\"==s)i=\"max\";else switch(null==e&&(e=\"auto\"),s){case\"scale_width\":t=\"max\",i=\"min\";break;case\"scale_height\":t=\"min\",i=\"max\";break;case\"scale_both\":t=\"max\",i=\"max\"}const o={width_policy:t,height_policy:i},{min_width:l,min_height:n}=this.model;null!=l&&(o.min_width=l),null!=n&&(o.min_height=n);const{width:h,height:a}=this.model;null!=h&&(o.width=h),null!=a&&(o.height=a);const{max_width:r,max_height:c}=this.model;null!=r&&(o.max_width=r),null!=c&&(o.max_height=c),\"auto\"==e&&null!=h&&null!=a?o.aspect=h/a:(0,_.isNumber)(e)&&(o.aspect=e);const{margin:u}=this.model;if(null!=u)if((0,_.isNumber)(u))o.margin={top:u,right:u,bottom:u,left:u};else if(2==u.length){const[t,i]=u;o.margin={top:t,right:i,bottom:t,left:i}}else{const[t,i,e,s]=u;o.margin={top:t,right:i,bottom:e,left:s}}o.visible=this.model.visible;const{align:d}=this.model;return(0,_.isArray)(d)?[o.halign,o.valign]=d:o.halign=o.valign=d,o}_viewport_size(){return(0,a.undisplayed)(this.el,(()=>{let t=this.el;for(;t=t.parentElement;){if(t.classList.contains(g.root))continue;if(t==document.body){const{margin:{left:t,right:i,top:e,bottom:s}}=(0,a.extents)(document.body);return{width:Math.ceil(document.documentElement.clientWidth-t-i),height:Math.ceil(document.documentElement.clientHeight-e-s)}}const{padding:{left:i,right:e,top:s,bottom:o}}=(0,a.extents)(t),{width:l,height:n}=t.getBoundingClientRect(),h=Math.ceil(l-i-e),r=Math.ceil(n-s-o);if(h>0||r>0)return{width:h>0?h:void 0,height:r>0?r:void 0}}return{}}))}export(t,i=!0){const e=\"png\"==t?\"canvas\":\"svg\",s=new w.CanvasLayer(e,i),{width:o,height:l}=this.layout.bbox;s.resize(o,l);for(const e of this.child_views){const o=e.export(t,i),{x:l,y:n}=e.layout.bbox;s.ctx.drawImage(o.canvas,l,n)}return s}serializable_state(){return Object.assign(Object.assign({},super.serializable_state()),{bbox:this.layout.bbox.box,children:this.child_views.map((t=>t.serializable_state()))})}}e.LayoutDOMView=f,f.__name__=\"LayoutDOMView\";class y extends n.Model{constructor(t){super(t)}}e.LayoutDOM=y,l=y,y.__name__=\"LayoutDOM\",l.define((t=>{const{Boolean:i,Number:e,String:s,Auto:o,Color:l,Array:n,Tuple:a,Or:r,Null:_,Nullable:c}=t,u=a(e,e),d=a(e,e,e,e);return{width:[c(e),null],height:[c(e),null],min_width:[c(e),null],min_height:[c(e),null],max_width:[c(e),null],max_height:[c(e),null],margin:[c(r(e,u,d)),[0,0,0,0]],width_policy:[r(m.SizingPolicy,o),\"auto\"],height_policy:[r(m.SizingPolicy,o),\"auto\"],aspect_ratio:[r(e,o,_),null],sizing_mode:[c(h.SizingMode),null],visible:[i,!0],disabled:[i,!1],align:[r(h.Align,a(h.Align,h.Align)),\"start\"],background:[c(l),null],css_classes:[n(s),[]]}}))},\n function _(o,s,t,i,e){var n;i();const a=o(308),l=o(209);class u extends a.BoxView{_update_layout(){const o=this.child_views.map((o=>o.layout));this.layout=new l.Column(o),this.layout.rows=this.model.rows,this.layout.spacing=[this.model.spacing,0],this.layout.set_sizing(this.box_sizing())}}t.ColumnView=u,u.__name__=\"ColumnView\";class _ extends a.Box{constructor(o){super(o)}}t.Column=_,n=_,_.__name__=\"Column\",n.prototype.default_view=u,n.define((({Any:o})=>({rows:[o,\"auto\"]})))},\n function _(s,o,t,i,e){var n;i();const l=s(309),a=s(209);class r extends l.LayoutDOMView{connect_signals(){super.connect_signals();const{children:s,rows:o,cols:t,spacing:i}=this.model.properties;this.on_change([s,o,t,i],(()=>this.rebuild()))}get child_models(){return this.model.children.map((([s])=>s))}_update_layout(){this.layout=new a.Grid,this.layout.rows=this.model.rows,this.layout.cols=this.model.cols,this.layout.spacing=this.model.spacing;for(const[s,o,t,i,e]of this.model.children){const n=this._child_views.get(s);this.layout.items.push({layout:n.layout,row:o,col:t,row_span:i,col_span:e})}this.layout.set_sizing(this.box_sizing())}}t.GridBoxView=r,r.__name__=\"GridBoxView\";class c extends l.LayoutDOM{constructor(s){super(s)}}t.GridBox=c,n=c,c.__name__=\"GridBox\",n.prototype.default_view=r,n.define((({Any:s,Int:o,Number:t,Tuple:i,Array:e,Ref:n,Or:a,Opt:r})=>({children:[e(i(n(l.LayoutDOM),o,o,r(o),r(o))),[]],rows:[s,\"auto\"],cols:[s,\"auto\"],spacing:[a(t,i(t,t)),0]})))},\n function _(t,e,o,s,n){s();const _=t(309),i=t(207);class a extends _.LayoutDOMView{get child_models(){return[]}_update_layout(){this.layout=new i.ContentBox(this.el),this.layout.set_sizing(this.box_sizing())}}o.HTMLBoxView=a,a.__name__=\"HTMLBoxView\";class u extends _.LayoutDOM{constructor(t){super(t)}}o.HTMLBox=u,u.__name__=\"HTMLBox\"},\n function _(e,n,l,a,o){var t;a();const s=e(53),c=e(309);class d extends s.Model{constructor(e){super(e)}}l.Panel=d,t=d,d.__name__=\"Panel\",t.define((({Boolean:e,String:n,Ref:l})=>({title:[n,\"\"],child:[l(c.LayoutDOM)],closable:[e,!1],disabled:[e,!1]})))},\n function _(o,s,t,i,e){var a;i();const n=o(308),l=o(209);class _ extends n.BoxView{_update_layout(){const o=this.child_views.map((o=>o.layout));this.layout=new l.Row(o),this.layout.cols=this.model.cols,this.layout.spacing=[0,this.model.spacing],this.layout.set_sizing(this.box_sizing())}}t.RowView=_,_.__name__=\"RowView\";class c extends n.Box{constructor(o){super(o)}}t.Row=c,a=c,c.__name__=\"Row\",a.prototype.default_view=_,a.define((({Any:o})=>({cols:[o,\"auto\"]})))},\n function _(e,t,a,s,_){var o;s();const i=e(309),n=e(207);class u extends i.LayoutDOMView{get child_models(){return[]}_update_layout(){this.layout=new n.LayoutItem,this.layout.set_sizing(this.box_sizing())}}a.SpacerView=u,u.__name__=\"SpacerView\";class c extends i.LayoutDOM{constructor(e){super(e)}}a.Spacer=c,o=c,c.__name__=\"Spacer\",o.prototype.default_view=u},\n function _(e,t,s,i,l){i();const h=e(1);var a;const o=e(207),d=e(43),r=e(9),c=e(10),n=e(20),_=e(309),p=e(313),b=(0,h.__importStar)(e(317)),m=b,u=(0,h.__importStar)(e(318)),g=u,v=(0,h.__importStar)(e(229)),w=v;class f extends _.LayoutDOMView{constructor(){super(...arguments),this._scroll_index=0}connect_signals(){super.connect_signals(),this.connect(this.model.properties.tabs.change,(()=>this.rebuild())),this.connect(this.model.properties.active.change,(()=>this.on_active_change()))}styles(){return[...super.styles(),u.default,v.default,b.default]}get child_models(){return this.model.tabs.map((e=>e.child))}_update_layout(){const e=this.model.tabs_location,t=\"above\"==e||\"below\"==e,{scroll_el:s,headers_el:i}=this;this.header=new class extends o.ContentBox{_measure(e){const l=(0,d.size)(s),h=(0,d.children)(i).slice(0,3).map((e=>(0,d.size)(e))),{width:a,height:o}=super._measure(e);if(t){const t=l.width+(0,r.sum)(h.map((e=>e.width)));return{width:e.width!=1/0?e.width:t,height:o}}{const t=l.height+(0,r.sum)(h.map((e=>e.height)));return{width:a,height:e.height!=1/0?e.height:t}}}}(this.header_el),t?this.header.set_sizing({width_policy:\"fit\",height_policy:\"fixed\"}):this.header.set_sizing({width_policy:\"fixed\",height_policy:\"fit\"});let l=1,h=1;switch(e){case\"above\":l-=1;break;case\"below\":l+=1;break;case\"left\":h-=1;break;case\"right\":h+=1}const a={layout:this.header,row:l,col:h},c=this.child_views.map((e=>({layout:e.layout,row:1,col:1})));this.layout=new o.Grid([a,...c]),this.layout.set_sizing(this.box_sizing())}update_position(){super.update_position(),this.header_el.style.position=\"absolute\",(0,d.position)(this.header_el,this.header.bbox);const e=this.model.tabs_location,t=\"above\"==e||\"below\"==e,s=(0,d.size)(this.scroll_el),i=(0,d.scroll_size)(this.headers_el);if(t){const{width:e}=this.header.bbox;i.width>e?(this.wrapper_el.style.maxWidth=e-s.width+\"px\",(0,d.display)(this.scroll_el),this.do_scroll(this.model.active)):(this.wrapper_el.style.maxWidth=\"\",(0,d.undisplay)(this.scroll_el))}else{const{height:e}=this.header.bbox;i.height>e?(this.wrapper_el.style.maxHeight=e-s.height+\"px\",(0,d.display)(this.scroll_el),this.do_scroll(this.model.active)):(this.wrapper_el.style.maxHeight=\"\",(0,d.undisplay)(this.scroll_el))}const{child_views:l}=this;for(const e of l)(0,d.hide)(e.el);const h=l[this.model.active];null!=h&&(0,d.show)(h.el)}render(){super.render();const{active:e}=this.model,t=this.model.tabs.map(((t,s)=>{const i=(0,d.div)({class:[m.tab,s==e?m.active:null]},t.title);if(i.addEventListener(\"click\",(e=>{this.model.disabled||e.target==e.currentTarget&&this.change_active(s)})),t.closable){const e=(0,d.div)({class:m.close});e.addEventListener(\"click\",(e=>{if(e.target==e.currentTarget){this.model.tabs=(0,r.remove_at)(this.model.tabs,s);const e=this.model.tabs.length;this.model.active>e-1&&(this.model.active=e-1)}})),i.appendChild(e)}return(this.model.disabled||t.disabled)&&i.classList.add(m.disabled),i}));this.headers_el=(0,d.div)({class:[m.headers]},t),this.wrapper_el=(0,d.div)({class:m.headers_wrapper},this.headers_el),this.left_el=(0,d.div)({class:[g.btn,g.btn_default],disabled:\"\"},(0,d.div)({class:[w.caret,m.left]})),this.right_el=(0,d.div)({class:[g.btn,g.btn_default]},(0,d.div)({class:[w.caret,m.right]})),this.left_el.addEventListener(\"click\",(()=>this.do_scroll(\"left\"))),this.right_el.addEventListener(\"click\",(()=>this.do_scroll(\"right\"))),this.scroll_el=(0,d.div)({class:g.btn_group},this.left_el,this.right_el);const s=this.model.tabs_location;this.header_el=(0,d.div)({class:[m.tabs_header,m[s]]},this.scroll_el,this.wrapper_el),this.el.appendChild(this.header_el)}do_scroll(e){const t=this.model.tabs.length;\"left\"==e?this._scroll_index-=1:\"right\"==e?this._scroll_index+=1:this._scroll_index=e,this._scroll_index=(0,c.clamp)(this._scroll_index,0,t-1),0==this._scroll_index?this.left_el.setAttribute(\"disabled\",\"\"):this.left_el.removeAttribute(\"disabled\"),this._scroll_index==t-1?this.right_el.setAttribute(\"disabled\",\"\"):this.right_el.removeAttribute(\"disabled\");const s=(0,d.children)(this.headers_el).slice(0,this._scroll_index).map((e=>e.getBoundingClientRect())),i=this.model.tabs_location;if(\"above\"==i||\"below\"==i){const e=-(0,r.sum)(s.map((e=>e.width)));this.headers_el.style.left=`${e}px`}else{const e=-(0,r.sum)(s.map((e=>e.height)));this.headers_el.style.top=`${e}px`}}change_active(e){e!=this.model.active&&(this.model.active=e)}on_active_change(){const e=this.model.active,t=(0,d.children)(this.headers_el);for(const e of t)e.classList.remove(m.active);t[e].classList.add(m.active);const{child_views:s}=this;for(const e of s)(0,d.hide)(e.el);(0,d.show)(s[e].el)}}s.TabsView=f,f.__name__=\"TabsView\";class x extends _.LayoutDOM{constructor(e){super(e)}}s.Tabs=x,a=x,x.__name__=\"Tabs\",a.prototype.default_view=f,a.define((({Int:e,Array:t,Ref:s})=>({tabs:[t(s(p.Panel)),[]],tabs_location:[n.Location,\"above\"],active:[e,0]})))},\n function _(e,r,b,o,t){o(),b.root=\"bk-root\",b.tabs_header=\"bk-tabs-header\",b.btn_group=\"bk-btn-group\",b.btn=\"bk-btn\",b.headers_wrapper=\"bk-headers-wrapper\",b.above=\"bk-above\",b.right=\"bk-right\",b.below=\"bk-below\",b.left=\"bk-left\",b.headers=\"bk-headers\",b.tab=\"bk-tab\",b.active=\"bk-active\",b.close=\"bk-close\",b.disabled=\"bk-disabled\",b.default='.bk-root .bk-tabs-header{display:flex;flex-wrap:nowrap;align-items:center;overflow:hidden;user-select:none;-ms-user-select:none;-moz-user-select:none;-webkit-user-select:none;}.bk-root .bk-tabs-header .bk-btn-group{height:auto;margin-right:5px;}.bk-root .bk-tabs-header .bk-btn-group > .bk-btn{flex-grow:0;height:auto;padding:4px 4px;}.bk-root .bk-tabs-header .bk-headers-wrapper{flex-grow:1;overflow:hidden;color:#666666;}.bk-root .bk-tabs-header.bk-above .bk-headers-wrapper{border-bottom:1px solid #e6e6e6;}.bk-root .bk-tabs-header.bk-right .bk-headers-wrapper{border-left:1px solid #e6e6e6;}.bk-root .bk-tabs-header.bk-below .bk-headers-wrapper{border-top:1px solid #e6e6e6;}.bk-root .bk-tabs-header.bk-left .bk-headers-wrapper{border-right:1px solid #e6e6e6;}.bk-root .bk-tabs-header.bk-above,.bk-root .bk-tabs-header.bk-below{flex-direction:row;}.bk-root .bk-tabs-header.bk-above .bk-headers,.bk-root .bk-tabs-header.bk-below .bk-headers{flex-direction:row;}.bk-root .bk-tabs-header.bk-left,.bk-root .bk-tabs-header.bk-right{flex-direction:column;}.bk-root .bk-tabs-header.bk-left .bk-headers,.bk-root .bk-tabs-header.bk-right .bk-headers{flex-direction:column;}.bk-root .bk-tabs-header .bk-headers{position:relative;display:flex;flex-wrap:nowrap;align-items:center;}.bk-root .bk-tabs-header .bk-tab{padding:4px 8px;border:solid transparent;white-space:nowrap;cursor:pointer;}.bk-root .bk-tabs-header .bk-tab:hover{background-color:#f2f2f2;}.bk-root .bk-tabs-header .bk-tab.bk-active{color:#4d4d4d;background-color:white;border-color:#e6e6e6;}.bk-root .bk-tabs-header .bk-tab .bk-close{margin-left:10px;}.bk-root .bk-tabs-header .bk-tab.bk-disabled{cursor:not-allowed;pointer-events:none;opacity:0.65;}.bk-root .bk-tabs-header.bk-above .bk-tab{border-width:3px 1px 0px 1px;border-radius:4px 4px 0 0;}.bk-root .bk-tabs-header.bk-right .bk-tab{border-width:1px 3px 1px 0px;border-radius:0 4px 4px 0;}.bk-root .bk-tabs-header.bk-below .bk-tab{border-width:0px 1px 3px 1px;border-radius:0 0 4px 4px;}.bk-root .bk-tabs-header.bk-left .bk-tab{border-width:1px 0px 1px 3px;border-radius:4px 0 0 4px;}.bk-root .bk-close{display:inline-block;width:10px;height:10px;vertical-align:middle;background-image:url(\\'data:image/svg+xml;utf8, \\');}.bk-root .bk-close:hover{background-image:url(\\'data:image/svg+xml;utf8, \\');}'},\n function _(o,b,r,t,e){t(),r.root=\"bk-root\",r.btn=\"bk-btn\",r.active=\"bk-active\",r.btn_default=\"bk-btn-default\",r.btn_primary=\"bk-btn-primary\",r.btn_success=\"bk-btn-success\",r.btn_warning=\"bk-btn-warning\",r.btn_danger=\"bk-btn-danger\",r.btn_light=\"bk-btn-light\",r.btn_group=\"bk-btn-group\",r.vertical=\"bk-vertical\",r.horizontal=\"bk-horizontal\",r.dropdown_toggle=\"bk-dropdown-toggle\",r.default=\".bk-root .bk-btn{height:100%;display:inline-block;text-align:center;vertical-align:middle;white-space:nowrap;cursor:pointer;padding:6px 12px;font-size:12px;border:1px solid transparent;border-radius:4px;outline:0;user-select:none;-ms-user-select:none;-moz-user-select:none;-webkit-user-select:none;}.bk-root .bk-btn:hover,.bk-root .bk-btn:focus{text-decoration:none;}.bk-root .bk-btn:active,.bk-root .bk-btn.bk-active{background-image:none;box-shadow:inset 0 3px 5px rgba(0, 0, 0, 0.125);}.bk-root .bk-btn[disabled]{cursor:not-allowed;pointer-events:none;opacity:0.65;box-shadow:none;}.bk-root .bk-btn-default{color:#333;background-color:#fff;border-color:#ccc;}.bk-root .bk-btn-default:hover{background-color:#f5f5f5;border-color:#b8b8b8;}.bk-root .bk-btn-default.bk-active{background-color:#ebebeb;border-color:#adadad;}.bk-root .bk-btn-default[disabled],.bk-root .bk-btn-default[disabled]:hover,.bk-root .bk-btn-default[disabled]:focus,.bk-root .bk-btn-default[disabled]:active,.bk-root .bk-btn-default[disabled].bk-active{background-color:#e6e6e6;border-color:#ccc;}.bk-root .bk-btn-primary{color:#fff;background-color:#428bca;border-color:#357ebd;}.bk-root .bk-btn-primary:hover{background-color:#3681c1;border-color:#2c699e;}.bk-root .bk-btn-primary.bk-active{background-color:#3276b1;border-color:#285e8e;}.bk-root .bk-btn-primary[disabled],.bk-root .bk-btn-primary[disabled]:hover,.bk-root .bk-btn-primary[disabled]:focus,.bk-root .bk-btn-primary[disabled]:active,.bk-root .bk-btn-primary[disabled].bk-active{background-color:#506f89;border-color:#357ebd;}.bk-root .bk-btn-success{color:#fff;background-color:#5cb85c;border-color:#4cae4c;}.bk-root .bk-btn-success:hover{background-color:#4eb24e;border-color:#409240;}.bk-root .bk-btn-success.bk-active{background-color:#47a447;border-color:#398439;}.bk-root .bk-btn-success[disabled],.bk-root .bk-btn-success[disabled]:hover,.bk-root .bk-btn-success[disabled]:focus,.bk-root .bk-btn-success[disabled]:active,.bk-root .bk-btn-success[disabled].bk-active{background-color:#667b66;border-color:#4cae4c;}.bk-root .bk-btn-warning{color:#fff;background-color:#f0ad4e;border-color:#eea236;}.bk-root .bk-btn-warning:hover{background-color:#eea43b;border-color:#e89014;}.bk-root .bk-btn-warning.bk-active{background-color:#ed9c28;border-color:#d58512;}.bk-root .bk-btn-warning[disabled],.bk-root .bk-btn-warning[disabled]:hover,.bk-root .bk-btn-warning[disabled]:focus,.bk-root .bk-btn-warning[disabled]:active,.bk-root .bk-btn-warning[disabled].bk-active{background-color:#c89143;border-color:#eea236;}.bk-root .bk-btn-danger{color:#fff;background-color:#d9534f;border-color:#d43f3a;}.bk-root .bk-btn-danger:hover{background-color:#d5433e;border-color:#bd2d29;}.bk-root .bk-btn-danger.bk-active{background-color:#d2322d;border-color:#ac2925;}.bk-root .bk-btn-danger[disabled],.bk-root .bk-btn-danger[disabled]:hover,.bk-root .bk-btn-danger[disabled]:focus,.bk-root .bk-btn-danger[disabled]:active,.bk-root .bk-btn-danger[disabled].bk-active{background-color:#a55350;border-color:#d43f3a;}.bk-root .bk-btn-light{color:#333;background-color:#fff;border-color:#ccc;border-color:transparent;}.bk-root .bk-btn-light:hover{background-color:#f5f5f5;border-color:#b8b8b8;}.bk-root .bk-btn-light.bk-active{background-color:#ebebeb;border-color:#adadad;}.bk-root .bk-btn-light[disabled],.bk-root .bk-btn-light[disabled]:hover,.bk-root .bk-btn-light[disabled]:focus,.bk-root .bk-btn-light[disabled]:active,.bk-root .bk-btn-light[disabled].bk-active{background-color:#e6e6e6;border-color:#ccc;}.bk-root .bk-btn-group{height:100%;display:flex;flex-wrap:nowrap;align-items:center;}.bk-root .bk-btn-group:not(.bk-vertical),.bk-root .bk-btn-group.bk-horizontal{flex-direction:row;}.bk-root .bk-btn-group.bk-vertical{flex-direction:column;}.bk-root .bk-btn-group > .bk-btn{flex-grow:1;}.bk-root .bk-btn-group:not(.bk-vertical) > .bk-btn + .bk-btn{margin-left:-1px;}.bk-root .bk-btn-group.bk-vertical > .bk-btn + .bk-btn{margin-top:-1px;}.bk-root .bk-btn-group:not(.bk-vertical) > .bk-btn:first-child:not(:last-child){border-bottom-right-radius:0;border-top-right-radius:0;}.bk-root .bk-btn-group.bk-vertical > .bk-btn:first-child:not(:last-child){border-bottom-left-radius:0;border-bottom-right-radius:0;}.bk-root .bk-btn-group:not(.bk-vertical) > .bk-btn:not(:first-child):last-child{border-bottom-left-radius:0;border-top-left-radius:0;}.bk-root .bk-btn-group.bk-vertical > .bk-btn:not(:first-child):last-child{border-top-left-radius:0;border-top-right-radius:0;}.bk-root .bk-btn-group > .bk-btn:not(:first-child):not(:last-child){border-radius:0;}.bk-root .bk-btn-group.bk-vertical > .bk-btn{width:100%;}.bk-root .bk-btn-group .bk-dropdown-toggle{flex:0 0 0;padding:6px 6px;}\"},\n function _(e,t,o,n,_){var i;n();const s=e(310);class d extends s.ColumnView{}o.WidgetBoxView=d,d.__name__=\"WidgetBoxView\";class a extends s.Column{constructor(e){super(e)}}o.WidgetBox=a,i=a,a.__name__=\"WidgetBox\",i.prototype.default_view=d},\n function _(t,a,i,e,M){e();var T=t(135);M(\"MathText\",T.MathText),M(\"Ascii\",T.Ascii),M(\"MathML\",T.MathML),M(\"TeX\",T.TeX),M(\"PlainText\",t(139).PlainText)},\n function _(r,o,t,e,n){e(),n(\"CustomJSTransform\",r(322).CustomJSTransform),n(\"Dodge\",r(323).Dodge),n(\"Interpolator\",r(325).Interpolator),n(\"Jitter\",r(326).Jitter),n(\"LinearInterpolator\",r(327).LinearInterpolator),n(\"StepInterpolator\",r(328).StepInterpolator),n(\"Transform\",r(56).Transform)},\n function _(r,t,s,n,e){var a;n();const u=r(56),o=r(13),m=r(34);class _ extends u.Transform{constructor(r){super(r)}get names(){return(0,o.keys)(this.args)}get values(){return(0,o.values)(this.args)}_make_transform(r,t){return new Function(...this.names,r,(0,m.use_strict)(t))}get scalar_transform(){return this._make_transform(\"x\",this.func)}get vector_transform(){return this._make_transform(\"xs\",this.v_func)}compute(r){return this.scalar_transform(...this.values,r)}v_compute(r){return this.vector_transform(...this.values,r)}}s.CustomJSTransform=_,a=_,_.__name__=\"CustomJSTransform\",a.define((({Unknown:r,String:t,Dict:s})=>({args:[s(r),{}],func:[t,\"\"],v_func:[t,\"\"]})))},\n function _(e,n,r,o,s){var t;o();const u=e(324);class a extends u.RangeTransform{constructor(e){super(e)}_compute(e){return e+this.value}}r.Dodge=a,t=a,a.__name__=\"Dodge\",t.define((({Number:e})=>({value:[e,0]})))},\n function _(e,n,t,r,a){var s;r();const c=e(56),o=e(57),i=e(67),u=e(24),h=e(8),l=e(11);class g extends c.Transform{constructor(e){super(e)}v_compute(e){let n;this.range instanceof i.FactorRange?n=this.range.v_synthetic(e):(0,h.isArrayableOf)(e,h.isNumber)?n=e:(0,l.unreachable)();const t=new((0,u.infer_type)(n))(n.length);for(let e=0;e({range:[n(e(o.Range)),null]})))},\n function _(t,e,r,n,s){var o;n();const i=t(56),a=t(70),h=t(24),l=t(9),d=t(8);class c extends i.Transform{constructor(t){super(t),this._sorted_dirty=!0}connect_signals(){super.connect_signals(),this.connect(this.change,(()=>this._sorted_dirty=!0))}v_compute(t){const e=new((0,h.infer_type)(t))(t.length);for(let r=0;ro*(e[t]-e[r]))),this._x_sorted=new((0,h.infer_type)(e))(n),this._y_sorted=new((0,h.infer_type)(r))(n);for(let t=0;t({x:[o(r,s(e))],y:[o(r,s(e))],data:[i(n(a.ColumnarDataSource)),null],clip:[t,!0]})))},\n function _(t,s,e,i,r){i();const n=t(1);var o;const a=t(324),u=t(67),h=t(20),c=t(8),m=t(12),f=(0,n.__importStar)(t(10)),_=t(11);class p extends a.RangeTransform{constructor(t){super(t)}v_compute(t){var s;let e;this.range instanceof u.FactorRange?e=this.range.v_synthetic(t):(0,c.isArrayableOf)(t,c.isNumber)?e=t:(0,_.unreachable)();const i=e.length;(null===(s=this.previous_offsets)||void 0===s?void 0:s.length)!=i&&(this.previous_offsets=new Array(i),this.previous_offsets=(0,m.map)(this.previous_offsets,(()=>this._compute())));const r=this.previous_offsets;return(0,m.map)(e,((t,s)=>r[s]+t))}_compute(){switch(this.distribution){case\"uniform\":return this.mean+(f.random()-.5)*this.width;case\"normal\":return f.rnorm(this.mean,this.width)}}}e.Jitter=p,o=p,p.__name__=\"Jitter\",o.define((({Number:t})=>({mean:[t,0],width:[t,1],distribution:[h.Distribution,\"uniform\"]})))},\n function _(t,s,_,r,e){r();const i=t(9),o=t(325);class n extends o.Interpolator{constructor(t){super(t)}compute(t){if(this.sort(!1),this.clip){if(tthis._x_sorted[this._x_sorted.length-1])return NaN}else{if(tthis._x_sorted[this._x_sorted.length-1])return this._y_sorted[this._y_sorted.length-1]}if(t==this._x_sorted[0])return this._y_sorted[0];const s=(0,i.find_last_index)(this._x_sorted,(s=>sthis._x_sorted[this._x_sorted.length-1])return NaN}else{if(tthis._x_sorted[this._x_sorted.length-1])return this._y_sorted[this._y_sorted.length-1]}let e;switch(this.mode){case\"after\":e=(0,d.find_last_index)(this._x_sorted,(e=>t>=e));break;case\"before\":e=(0,d.find_index)(this._x_sorted,(e=>t<=e));break;case\"center\":{const s=(0,d.map)(this._x_sorted,(e=>Math.abs(e-t))),r=(0,d.min)(s);e=(0,d.find_index)(s,(t=>r===t));break}default:throw new Error(`unknown mode: ${this.mode}`)}return-1!=e?this._y_sorted[e]:NaN}}s.StepInterpolator=h,_=h,h.__name__=\"StepInterpolator\",_.define((()=>({mode:[n.StepMode,\"after\"]})))},\n function _(p,o,t,a,n){a(),n(\"MapOptions\",p(330).MapOptions),n(\"GMapOptions\",p(330).GMapOptions),n(\"GMapPlot\",p(330).GMapPlot),n(\"Plot\",p(331).Plot)},\n function _(e,t,n,o,a){var s,p,_;o();const i=e(331),r=e(53),l=e(58),c=e(336);a(\"GMapPlotView\",c.GMapPlotView);class d extends r.Model{constructor(e){super(e)}}n.MapOptions=d,s=d,d.__name__=\"MapOptions\",s.define((({Int:e,Number:t})=>({lat:[t],lng:[t],zoom:[e,12]})));class u extends d{constructor(e){super(e)}}n.GMapOptions=u,p=u,u.__name__=\"GMapOptions\",p.define((({Boolean:e,Int:t,String:n})=>({map_type:[n,\"roadmap\"],scale_control:[e,!1],styles:[n],tilt:[t,45]})));class M extends i.Plot{constructor(e){super(e),this.use_map=!0}}n.GMapPlot=M,_=M,M.__name__=\"GMapPlot\",_.prototype.default_view=c.GMapPlotView,_.define((({String:e,Ref:t})=>({map_options:[t(u)],api_key:[e],api_version:[e,\"weekly\"]}))),_.override({x_range:()=>new l.Range1d,y_range:()=>new l.Range1d})},\n function _(e,t,r,n,i){n();const o=e(1);var a;const s=(0,o.__importStar)(e(48)),l=(0,o.__importStar)(e(18)),_=e(15),c=e(20),h=e(9),d=e(13),u=e(8),g=e(309),p=e(128),f=e(306),b=e(40),w=e(118),y=e(59),m=e(221),x=e(57),v=e(55),A=e(75),S=e(41),R=e(176),D=e(175),L=e(63),P=e(332);i(\"PlotView\",P.PlotView);class k extends g.LayoutDOM{constructor(e){super(e),this.use_map=!1}_doc_attached(){super._doc_attached(),this._push_changes([[this.properties.inner_height,null,this.inner_height],[this.properties.inner_width,null,this.inner_width]])}initialize(){super.initialize(),this.reset=new _.Signal0(this,\"reset\");for(const e of(0,d.values)(this.extra_x_ranges).concat(this.x_range)){let t=e.plots;(0,u.isArray)(t)&&(t=t.concat(this),e.setv({plots:t},{silent:!0}))}for(const e of(0,d.values)(this.extra_y_ranges).concat(this.y_range)){let t=e.plots;(0,u.isArray)(t)&&(t=t.concat(this),e.setv({plots:t},{silent:!0}))}}add_layout(e,t=\"center\"){const r=this.properties[t].get_value();this.setv({[t]:[...r,e]})}remove_layout(e){const t=t=>{(0,h.remove_by)(t,(t=>t==e))};t(this.left),t(this.right),t(this.above),t(this.below),t(this.center)}get data_renderers(){return this.renderers.filter((e=>e instanceof R.DataRenderer))}add_renderers(...e){this.renderers=this.renderers.concat(e)}add_glyph(e,t=new A.ColumnDataSource,r={}){const n=new D.GlyphRenderer(Object.assign(Object.assign({},r),{data_source:t,glyph:e}));return this.add_renderers(n),n}add_tools(...e){this.toolbar.tools=this.toolbar.tools.concat(e)}get panels(){return[...this.side_panels,...this.center]}get side_panels(){const{above:e,below:t,left:r,right:n}=this;return(0,h.concat)([e,t,r,n])}}r.Plot=k,a=k,k.__name__=\"Plot\",a.prototype.default_view=P.PlotView,a.mixins([[\"outline_\",s.Line],[\"background_\",s.Fill],[\"border_\",s.Fill]]),a.define((({Boolean:e,Number:t,String:r,Array:n,Dict:i,Or:o,Ref:a,Null:s,Nullable:_})=>({toolbar:[a(m.Toolbar),()=>new m.Toolbar],toolbar_location:[_(c.Location),\"right\"],toolbar_sticky:[e,!0],plot_width:[l.Alias(\"width\")],plot_height:[l.Alias(\"height\")],frame_width:[_(t),null],frame_height:[_(t),null],title:[o(a(w.Title),r,s),\"\",{convert:e=>(0,u.isString)(e)?new w.Title({text:e}):e}],title_location:[_(c.Location),\"above\"],above:[n(o(a(b.Annotation),a(p.Axis))),[]],below:[n(o(a(b.Annotation),a(p.Axis))),[]],left:[n(o(a(b.Annotation),a(p.Axis))),[]],right:[n(o(a(b.Annotation),a(p.Axis))),[]],center:[n(o(a(b.Annotation),a(f.Grid))),[]],renderers:[n(a(S.Renderer)),[]],x_range:[a(x.Range),()=>new L.DataRange1d],y_range:[a(x.Range),()=>new L.DataRange1d],x_scale:[a(v.Scale),()=>new y.LinearScale],y_scale:[a(v.Scale),()=>new y.LinearScale],extra_x_ranges:[i(a(x.Range)),{}],extra_y_ranges:[i(a(x.Range)),{}],extra_x_scales:[i(a(v.Scale)),{}],extra_y_scales:[i(a(v.Scale)),{}],lod_factor:[t,10],lod_interval:[t,300],lod_threshold:[_(t),2e3],lod_timeout:[t,500],hidpi:[e,!0],output_backend:[c.OutputBackend,\"canvas\"],min_border:[_(t),5],min_border_top:[_(t),null],min_border_left:[_(t),null],min_border_bottom:[_(t),null],min_border_right:[_(t),null],inner_width:[t,0],inner_height:[t,0],outer_width:[t,0],outer_height:[t,0],match_aspect:[e,!1],aspect_scale:[t,1],reset_policy:[c.ResetPolicy,\"standard\"]}))),a.override({width:600,height:600,outline_line_color:\"#e5e5e5\",border_fill_color:\"#ffffff\",background_fill_color:\"#ffffff\"})},\n function _(e,t,i,s,a){s();const n=e(1),o=e(126),l=e(249),r=e(309),_=e(40),h=e(118),d=e(128),u=e(220),c=e(251),p=e(113),v=e(45),g=e(19),b=e(251),m=e(333),y=e(8),w=e(9),f=e(235),x=e(208),z=e(211),k=e(209),q=e(123),M=e(65),R=e(334),V=e(335),S=e(28);class O extends r.LayoutDOMView{constructor(){super(...arguments),this._outer_bbox=new M.BBox,this._inner_bbox=new M.BBox,this._needs_paint=!0,this._needs_layout=!1,this._invalidated_painters=new Set,this._invalidate_all=!0,this._needs_notify=!1}get canvas(){return this.canvas_view}get state(){return this._state_manager}set invalidate_dataranges(e){this._range_manager.invalidate_dataranges=e}renderer_view(e){const t=this.renderer_views.get(e);if(null==t)for(const[,t]of this.renderer_views){const i=t.renderer_view(e);if(null!=i)return i}return t}get is_paused(){return null!=this._is_paused&&0!==this._is_paused}get child_models(){return[]}pause(){null==this._is_paused?this._is_paused=1:this._is_paused+=1}unpause(e=!1){if(null==this._is_paused)throw new Error(\"wasn't paused\");this._is_paused-=1,0!=this._is_paused||e||this.request_paint(\"everything\")}notify_finished_after_paint(){this._needs_notify=!0}request_render(){this.request_paint(\"everything\")}request_paint(e){this.invalidate_painters(e),this.schedule_paint()}invalidate_painters(e){if(\"everything\"==e)this._invalidate_all=!0;else if((0,y.isArray)(e))for(const t of e)this._invalidated_painters.add(t);else this._invalidated_painters.add(e)}schedule_paint(){if(!this.is_paused){const e=this.throttled_paint();this._ready=this._ready.then((()=>e))}}request_layout(){this._needs_layout=!0,this.request_paint(\"everything\")}reset(){\"standard\"==this.model.reset_policy&&(this.state.clear(),this.reset_range(),this.reset_selection()),this.model.trigger_event(new c.Reset)}remove(){(0,p.remove_views)(this.renderer_views),(0,p.remove_views)(this.tool_views),this.canvas_view.remove(),super.remove()}render(){super.render(),this.el.appendChild(this.canvas_view.el),this.canvas_view.render()}initialize(){this.pause(),super.initialize(),this.lod_started=!1,this.visuals=new v.Visuals(this),this._initial_state={selection:new Map,dimensions:{width:0,height:0}},this.visibility_callbacks=[],this.renderer_views=new Map,this.tool_views=new Map,this.frame=new o.CartesianFrame(this.model.x_scale,this.model.y_scale,this.model.x_range,this.model.y_range,this.model.extra_x_ranges,this.model.extra_y_ranges,this.model.extra_x_scales,this.model.extra_y_scales),this._range_manager=new R.RangeManager(this),this._state_manager=new V.StateManager(this,this._initial_state),this.throttled_paint=(0,m.throttle)((()=>this.repaint()),1e3/60);const{title_location:e,title:t}=this.model;null!=e&&null!=t&&(this._title=t instanceof h.Title?t:new h.Title({text:t}));const{toolbar_location:i,toolbar:s}=this.model;null!=i&&null!=s&&(this._toolbar=new u.ToolbarPanel({toolbar:s}),s.toolbar_location=i)}async lazy_initialize(){await super.lazy_initialize();const{hidpi:e,output_backend:t}=this.model,i=new l.Canvas({hidpi:e,output_backend:t});this.canvas_view=await(0,p.build_view)(i,{parent:this}),this.canvas_view.plot_views=[this],await this.build_renderer_views(),await this.build_tool_views(),this._range_manager.update_dataranges(),this.unpause(!0),g.logger.debug(\"PlotView initialized\")}_width_policy(){return null==this.model.frame_width?super._width_policy():\"min\"}_height_policy(){return null==this.model.frame_height?super._height_policy():\"min\"}_update_layout(){var e,t,i,s,a;this.layout=new z.BorderLayout,this.layout.set_sizing(this.box_sizing());const n=(0,w.copy)(this.model.above),o=(0,w.copy)(this.model.below),l=(0,w.copy)(this.model.left),r=(0,w.copy)(this.model.right),d=e=>{switch(e){case\"above\":return n;case\"below\":return o;case\"left\":return l;case\"right\":return r}},{title_location:c,title:p}=this.model;null!=c&&null!=p&&d(c).push(this._title);const{toolbar_location:v,toolbar:g}=this.model;if(null!=v&&null!=g){const e=d(v);let t=!0;if(this.model.toolbar_sticky)for(let i=0;i{var i;const s=this.renderer_view(t);return s.panel=new q.Panel(e),null===(i=s.update_layout)||void 0===i||i.call(s),s.layout},m=(e,t)=>{const i=\"above\"==e||\"below\"==e,s=[];for(const a of t)if((0,y.isArray)(a)){const t=a.map((t=>{const s=b(e,t);if(t instanceof u.ToolbarPanel){const e=i?\"width_policy\":\"height_policy\";s.set_sizing(Object.assign(Object.assign({},s.sizing),{[e]:\"min\"}))}return s}));let n;i?(n=new k.Row(t),n.set_sizing({width_policy:\"max\",height_policy:\"min\"})):(n=new k.Column(t),n.set_sizing({width_policy:\"min\",height_policy:\"max\"})),n.absolute=!0,s.push(n)}else s.push(b(e,a));return s},f=null!==(e=this.model.min_border)&&void 0!==e?e:0;this.layout.min_border={left:null!==(t=this.model.min_border_left)&&void 0!==t?t:f,top:null!==(i=this.model.min_border_top)&&void 0!==i?i:f,right:null!==(s=this.model.min_border_right)&&void 0!==s?s:f,bottom:null!==(a=this.model.min_border_bottom)&&void 0!==a?a:f};const M=new x.NodeLayout,R=new x.VStack,V=new x.VStack,S=new x.HStack,O=new x.HStack;M.absolute=!0,R.absolute=!0,V.absolute=!0,S.absolute=!0,O.absolute=!0,M.children=this.model.center.filter((e=>e instanceof _.Annotation)).map((e=>{var t;const i=this.renderer_view(e);return null===(t=i.update_layout)||void 0===t||t.call(i),i.layout})).filter((e=>null!=e));const{frame_width:P,frame_height:j}=this.model;M.set_sizing(Object.assign(Object.assign({},null!=P?{width_policy:\"fixed\",width:P}:{width_policy:\"fit\"}),null!=j?{height_policy:\"fixed\",height:j}:{height_policy:\"fit\"})),M.on_resize((e=>this.frame.set_geometry(e))),R.children=(0,w.reversed)(m(\"above\",n)),V.children=m(\"below\",o),S.children=(0,w.reversed)(m(\"left\",l)),O.children=m(\"right\",r),R.set_sizing({width_policy:\"fit\",height_policy:\"min\"}),V.set_sizing({width_policy:\"fit\",height_policy:\"min\"}),S.set_sizing({width_policy:\"min\",height_policy:\"fit\"}),O.set_sizing({width_policy:\"min\",height_policy:\"fit\"}),this.layout.center_panel=M,this.layout.top_panel=R,this.layout.bottom_panel=V,this.layout.left_panel=S,this.layout.right_panel=O}get axis_views(){const e=[];for(const[,t]of this.renderer_views)t instanceof d.AxisView&&e.push(t);return e}set_toolbar_visibility(e){for(const t of this.visibility_callbacks)t(e)}update_range(e,t){this.pause(),this._range_manager.update(e,t),this.unpause()}reset_range(){this.update_range(null),this.trigger_ranges_update_event()}trigger_ranges_update_event(){const{x_range:e,y_range:t}=this.model;this.model.trigger_event(new b.RangesUpdate(e.start,e.end,t.start,t.end))}get_selection(){const e=new Map;for(const t of this.model.data_renderers){const{selected:i}=t.selection_manager.source;e.set(t,i)}return e}update_selection(e){for(const t of this.model.data_renderers){const i=t.selection_manager.source;if(null!=e){const s=e.get(t);null!=s&&i.selected.update(s,!0)}else i.selection_manager.clear()}}reset_selection(){this.update_selection(null)}_invalidate_layout(){(()=>{var e;for(const t of this.model.side_panels){const i=this.renderer_views.get(t);if(null===(e=i.layout)||void 0===e?void 0:e.has_size_changed())return this.invalidate_painters(i),!0}return!1})()&&this.root.compute_layout()}get_renderer_views(){return this.computed_renderers.map((e=>this.renderer_views.get(e)))}*_compute_renderers(){const{above:e,below:t,left:i,right:s,center:a,renderers:n}=this.model;yield*n,yield*e,yield*t,yield*i,yield*s,yield*a,null!=this._title&&(yield this._title),null!=this._toolbar&&(yield this._toolbar);for(const e of this.model.toolbar.tools)null!=e.overlay&&(yield e.overlay),yield*e.synthetic_renderers}async build_renderer_views(){this.computed_renderers=[...this._compute_renderers()],await(0,p.build_views)(this.renderer_views,this.computed_renderers,{parent:this})}async build_tool_views(){const e=this.model.toolbar.tools;(await(0,p.build_views)(this.tool_views,e,{parent:this})).map((e=>this.canvas_view.ui_event_bus.register_tool(e)))}connect_signals(){super.connect_signals();const{x_ranges:e,y_ranges:t}=this.frame;for(const[,t]of e)this.connect(t.change,(()=>{this._needs_layout=!0,this.request_paint(\"everything\")}));for(const[,e]of t)this.connect(e.change,(()=>{this._needs_layout=!0,this.request_paint(\"everything\")}));const{above:i,below:s,left:a,right:n,center:o,renderers:l}=this.model.properties;this.on_change([i,s,a,n,o,l],(async()=>await this.build_renderer_views())),this.connect(this.model.toolbar.properties.tools.change,(async()=>{await this.build_renderer_views(),await this.build_tool_views()})),this.connect(this.model.change,(()=>this.request_paint(\"everything\"))),this.connect(this.model.reset,(()=>this.reset()))}has_finished(){if(!super.has_finished())return!1;if(this.model.visible)for(const[,e]of this.renderer_views)if(!e.has_finished())return!1;return!0}after_layout(){var e;super.after_layout();for(const[,t]of this.renderer_views)t instanceof _.AnnotationView&&(null===(e=t.after_layout)||void 0===e||e.call(t));if(this._needs_layout=!1,this.model.setv({inner_width:Math.round(this.frame.bbox.width),inner_height:Math.round(this.frame.bbox.height),outer_width:Math.round(this.layout.bbox.width),outer_height:Math.round(this.layout.bbox.height)},{no_change:!0}),!1!==this.model.match_aspect&&(this.pause(),this._range_manager.update_dataranges(),this.unpause(!0)),!this._outer_bbox.equals(this.layout.bbox)){const{width:e,height:t}=this.layout.bbox;this.canvas_view.resize(e,t),this._outer_bbox=this.layout.bbox,this._invalidate_all=!0,this._needs_paint=!0}const{inner_bbox:t}=this.layout;this._inner_bbox.equals(t)||(this._inner_bbox=t,this._needs_paint=!0),this._needs_paint&&this.paint()}repaint(){this._needs_layout&&this._invalidate_layout(),this.paint()}paint(){this.is_paused||(this.model.visible&&(g.logger.trace(`${this.toString()}.paint()`),this._actual_paint()),this._needs_notify&&(this._needs_notify=!1,this.notify_finished()))}_actual_paint(){var e;const{document:t}=this.model;if(null!=t){const e=t.interactive_duration();e>=0&&e{t.interactive_duration()>this.model.lod_timeout&&t.interactive_stop(),this.request_paint(\"everything\")}),this.model.lod_timeout):t.interactive_stop()}this._range_manager.invalidate_dataranges&&(this._range_manager.update_dataranges(),this._invalidate_layout());let i=!1,s=!1;if(this._invalidate_all)i=!0,s=!0;else for(const e of this._invalidated_painters){const{level:t}=e.model;if(\"overlay\"!=t?i=!0:s=!0,i&&s)break}this._invalidated_painters.clear(),this._invalidate_all=!1;const a=[this.frame.bbox.left,this.frame.bbox.top,this.frame.bbox.width,this.frame.bbox.height],{primary:n,overlays:o}=this.canvas_view;i&&(n.prepare(),this.canvas_view.prepare_webgl(a),this._map_hook(n.ctx,a),this._paint_empty(n.ctx,a),this._paint_outline(n.ctx,a),this._paint_levels(n.ctx,\"image\",a,!0),this._paint_levels(n.ctx,\"underlay\",a,!0),this._paint_levels(n.ctx,\"glyph\",a,!0),this._paint_levels(n.ctx,\"guide\",a,!1),this._paint_levels(n.ctx,\"annotation\",a,!1),n.finish()),(s||S.settings.wireframe)&&(o.prepare(),this._paint_levels(o.ctx,\"overlay\",a,!1),S.settings.wireframe&&this._paint_layout(o.ctx,this.layout),o.finish()),null==this._initial_state.range&&(this._initial_state.range=null!==(e=this._range_manager.compute_initial())&&void 0!==e?e:void 0),this._needs_paint=!1}_paint_levels(e,t,i,s){for(const a of this.computed_renderers){if(a.level!=t)continue;const n=this.renderer_views.get(a);e.save(),(s||n.needs_clip)&&(e.beginPath(),e.rect(...i),e.clip()),n.render(),e.restore(),n.has_webgl&&n.needs_webgl_blit&&this.canvas_view.blit_webgl(e)}}_paint_layout(e,t){const{x:i,y:s,width:a,height:n}=t.bbox;e.strokeStyle=\"blue\",e.strokeRect(i,s,a,n);for(const a of t)e.save(),t.absolute||e.translate(i,s),this._paint_layout(e,a),e.restore()}_map_hook(e,t){}_paint_empty(e,t){const[i,s,a,n]=[0,0,this.layout.bbox.width,this.layout.bbox.height],[o,l,r,_]=t;this.visuals.border_fill.doit&&(this.visuals.border_fill.set_value(e),e.fillRect(i,s,a,n),e.clearRect(o,l,r,_)),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(e),e.fillRect(o,l,r,_))}_paint_outline(e,t){if(this.visuals.outline_line.doit){e.save(),this.visuals.outline_line.set_value(e);let[i,s,a,n]=t;i+a==this.layout.bbox.width&&(a-=1),s+n==this.layout.bbox.height&&(n-=1),e.strokeRect(i,s,a,n),e.restore()}}to_blob(){return this.canvas_view.to_blob()}export(e,t=!0){const i=\"png\"==e?\"canvas\":\"svg\",s=new f.CanvasLayer(i,t),{width:a,height:n}=this.layout.bbox;s.resize(a,n);const{canvas:o}=this.canvas_view.compose();return s.ctx.drawImage(o,0,0),s}serializable_state(){const e=super.serializable_state(),{children:t}=e,i=(0,n.__rest)(e,[\"children\"]),s=this.get_renderer_views().map((e=>e.serializable_state())).filter((e=>null!=e.bbox));return Object.assign(Object.assign({},i),{children:[...null!=t?t:[],...s]})}}i.PlotView=O,O.__name__=\"PlotView\"},\n function _(t,n,e,o,u){o(),e.throttle=function(t,n){let e=null,o=0,u=!1;return function(){return new Promise(((r,i)=>{const l=function(){o=Date.now(),e=null,u=!1;try{t(),r()}catch(t){i(t)}},a=Date.now(),c=n-(a-o);c<=0&&!u?(null!=e&&clearTimeout(e),u=!0,requestAnimationFrame(l)):e||u?r():e=setTimeout((()=>requestAnimationFrame(l)),c)}))}}},\n function _(t,n,e,a,s){a();const o=t(63),r=t(19);class l{constructor(t){this.parent=t,this.invalidate_dataranges=!0}get frame(){return this.parent.frame}update(t,n){const{x_ranges:e,y_ranges:a}=this.frame;if(null==t){for(const[,t]of e)t.reset();for(const[,t]of a)t.reset();this.update_dataranges()}else{const s=[];for(const[n,a]of e)s.push([a,t.xrs.get(n)]);for(const[n,e]of a)s.push([e,t.yrs.get(n)]);(null==n?void 0:n.scrolling)&&this._update_ranges_together(s),this._update_ranges_individually(s,n)}}reset(){this.update(null)}_update_dataranges(t){const n=new Map,e=new Map;let a=!1;for(const[,n]of t.x_ranges)n instanceof o.DataRange1d&&\"log\"==n.scale_hint&&(a=!0);for(const[,n]of t.y_ranges)n instanceof o.DataRange1d&&\"log\"==n.scale_hint&&(a=!0);for(const t of this.parent.model.data_renderers){const s=this.parent.renderer_view(t);if(null==s)continue;const o=s.glyph_view.bounds();if(null!=o&&n.set(t,o),a){const n=s.glyph_view.log_bounds();null!=n&&e.set(t,n)}}let s=!1,l=!1;const i=t.x_target.span,d=t.y_target.span;let u;!1!==this.parent.model.match_aspect&&0!=i&&0!=d&&(u=1/this.parent.model.aspect_scale*(i/d));for(const[,a]of t.x_ranges){if(a instanceof o.DataRange1d){const t=\"log\"==a.scale_hint?e:n;a.update(t,0,this.parent.model,u),a.follow&&(s=!0)}null!=a.bounds&&(l=!0)}for(const[,a]of t.y_ranges){if(a instanceof o.DataRange1d){const t=\"log\"==a.scale_hint?e:n;a.update(t,1,this.parent.model,u),a.follow&&(s=!0)}null!=a.bounds&&(l=!0)}if(s&&l){r.logger.warn(\"Follow enabled so bounds are unset.\");for(const[,n]of t.x_ranges)n.bounds=null;for(const[,n]of t.y_ranges)n.bounds=null}}update_dataranges(){this._update_dataranges(this.frame);for(const t of this.parent.model.renderers){const{coordinates:n}=t;null!=n&&this._update_dataranges(n)}null!=this.compute_initial()&&(this.invalidate_dataranges=!1)}compute_initial(){let t=!0;const{x_ranges:n,y_ranges:e}=this.frame,a=new Map,s=new Map;for(const[e,s]of n){const{start:n,end:o}=s;if(null==n||null==o||isNaN(n+o)){t=!1;break}a.set(e,{start:n,end:o})}if(t)for(const[n,a]of e){const{start:e,end:o}=a;if(null==e||null==o||isNaN(e+o)){t=!1;break}s.set(n,{start:e,end:o})}return t?{xrs:a,yrs:s}:(r.logger.warn(\"could not set initial ranges\"),null)}_update_ranges_together(t){let n=1;for(const[e,a]of t)n=Math.min(n,this._get_weight_to_constrain_interval(e,a));if(n<1)for(const[e,a]of t)a.start=n*a.start+(1-n)*e.start,a.end=n*a.end+(1-n)*e.end}_update_ranges_individually(t,n){const e=!!(null==n?void 0:n.panning),a=!!(null==n?void 0:n.scrolling);let s=!1;for(const[n,o]of t){if(!a){const t=this._get_weight_to_constrain_interval(n,o);t<1&&(o.start=t*o.start+(1-t)*n.start,o.end=t*o.end+(1-t)*n.end)}if(null!=n.bounds&&\"auto\"!=n.bounds){const[t,r]=n.bounds,l=Math.abs(o.end-o.start);n.is_reversed?(null!=t&&t>o.end&&(s=!0,o.end=t,(e||a)&&(o.start=t+l)),null!=r&&ro.start&&(s=!0,o.start=t,(e||a)&&(o.end=t+l)),null!=r&&r0&&r0&&r>a&&(s=(a-o)/(r-o)),s=Math.max(0,Math.min(1,s))}return s}}e.RangeManager=l,l.__name__=\"RangeManager\"},\n function _(t,i,s,e,n){e();const h=t(15);class a{constructor(t,i){this.parent=t,this.initial_state=i,this.changed=new h.Signal0(this.parent,\"state_changed\"),this.history=[],this.index=-1}_do_state_change(t){const i=null!=this.history[t]?this.history[t].state:this.initial_state;return null!=i.range&&this.parent.update_range(i.range),null!=i.selection&&this.parent.update_selection(i.selection),i}push(t,i){const{history:s,index:e}=this,n=null!=s[e]?s[e].state:{},h=Object.assign(Object.assign(Object.assign({},this.initial_state),n),i);this.history=this.history.slice(0,this.index+1),this.history.push({type:t,state:h}),this.index=this.history.length-1,this.changed.emit()}clear(){this.history=[],this.index=-1,this.changed.emit()}undo(){if(this.can_undo){this.index-=1;const t=this._do_state_change(this.index);return this.changed.emit(),t}return null}redo(){if(this.can_redo){this.index+=1;const t=this._do_state_change(this.index);return this.changed.emit(),t}return null}get can_undo(){return this.index>=0}get can_redo(){return this.indexm.emit();const s=encodeURIComponent,o=document.createElement(\"script\");o.type=\"text/javascript\",o.src=`https://maps.googleapis.com/maps/api/js?v=${s(e)}&key=${s(t)}&callback=_bokeh_gmaps_callback`,document.body.appendChild(o)}(t,e)}m.connect((()=>this.request_paint(\"everything\")))}this.unpause()}remove(){(0,p.remove)(this.map_el),super.remove()}update_range(t,e){var s,o;if(null==t)this.map.setCenter({lat:this.initial_lat,lng:this.initial_lng}),this.map.setOptions({zoom:this.initial_zoom}),super.update_range(null,e);else if(null!=t.sdx||null!=t.sdy)this.map.panBy(null!==(s=t.sdx)&&void 0!==s?s:0,null!==(o=t.sdy)&&void 0!==o?o:0),super.update_range(t,e);else if(null!=t.factor){if(10!==this.zoom_count)return void(this.zoom_count+=1);this.zoom_count=0,this.pause(),super.update_range(t,e);const s=t.factor<0?-1:1,o=this.map.getZoom();if(null!=o){const t=o+s;if(t>=2){this.map.setZoom(t);const[e,s]=this._get_projected_bounds();s-e<0&&this.map.setZoom(o)}}this.unpause()}this._set_bokeh_ranges()}_build_map(){const{maps:t}=google;this.map_types={satellite:t.MapTypeId.SATELLITE,terrain:t.MapTypeId.TERRAIN,roadmap:t.MapTypeId.ROADMAP,hybrid:t.MapTypeId.HYBRID};const e=this.model.map_options,s={center:new t.LatLng(e.lat,e.lng),zoom:e.zoom,disableDefaultUI:!0,mapTypeId:this.map_types[e.map_type],scaleControl:e.scale_control,tilt:e.tilt};null!=e.styles&&(s.styles=JSON.parse(e.styles)),this.map_el=(0,p.div)({style:{position:\"absolute\"}}),this.canvas_view.add_underlay(this.map_el),this.map=new t.Map(this.map_el,s),t.event.addListener(this.map,\"idle\",(()=>this._set_bokeh_ranges())),t.event.addListener(this.map,\"bounds_changed\",(()=>this._set_bokeh_ranges())),t.event.addListenerOnce(this.map,\"tilesloaded\",(()=>this._render_finished())),this.connect(this.model.properties.map_options.change,(()=>this._update_options())),this.connect(this.model.map_options.properties.styles.change,(()=>this._update_styles())),this.connect(this.model.map_options.properties.lat.change,(()=>this._update_center(\"lat\"))),this.connect(this.model.map_options.properties.lng.change,(()=>this._update_center(\"lng\"))),this.connect(this.model.map_options.properties.zoom.change,(()=>this._update_zoom())),this.connect(this.model.map_options.properties.map_type.change,(()=>this._update_map_type())),this.connect(this.model.map_options.properties.scale_control.change,(()=>this._update_scale_control())),this.connect(this.model.map_options.properties.tilt.change,(()=>this._update_tilt()))}_render_finished(){this._tiles_loaded=!0,this.notify_finished()}has_finished(){return super.has_finished()&&!0===this._tiles_loaded}_get_latlon_bounds(){const t=this.map.getBounds(),e=t.getNorthEast(),s=t.getSouthWest();return[s.lng(),e.lng(),s.lat(),e.lat()]}_get_projected_bounds(){const[t,e,s,o]=this._get_latlon_bounds(),[i,a]=l.wgs84_mercator.compute(t,s),[n,p]=l.wgs84_mercator.compute(e,o);return[i,n,a,p]}_set_bokeh_ranges(){const[t,e,s,o]=this._get_projected_bounds();this.frame.x_range.setv({start:t,end:e}),this.frame.y_range.setv({start:s,end:o})}_update_center(t){var e;const s=null===(e=this.map.getCenter())||void 0===e?void 0:e.toJSON();null!=s&&(s[t]=this.model.map_options[t],this.map.setCenter(s),this._set_bokeh_ranges())}_update_map_type(){this.map.setOptions({mapTypeId:this.map_types[this.model.map_options.map_type]})}_update_scale_control(){this.map.setOptions({scaleControl:this.model.map_options.scale_control})}_update_tilt(){this.map.setOptions({tilt:this.model.map_options.tilt})}_update_options(){this._update_styles(),this._update_center(\"lat\"),this._update_center(\"lng\"),this._update_zoom(),this._update_map_type()}_update_styles(){this.map.setOptions({styles:JSON.parse(this.model.map_options.styles)})}_update_zoom(){this.map.setOptions({zoom:this.model.map_options.zoom}),this._set_bokeh_ranges()}_map_hook(t,e){if(null==this.map&&\"undefined\"!=typeof google&&null!=google.maps&&this._build_map(),null!=this.map_el){const[t,s,o,i]=e;this.map_el.style.top=`${s}px`,this.map_el.style.left=`${t}px`,this.map_el.style.width=`${o}px`,this.map_el.style.height=`${i}px`}}_paint_empty(t,e){const s=this.layout.bbox.width,o=this.layout.bbox.height,[i,a,n,p]=e;t.clearRect(0,0,s,o),t.beginPath(),t.moveTo(0,0),t.lineTo(0,o),t.lineTo(s,o),t.lineTo(s,0),t.lineTo(0,0),t.moveTo(i,a),t.lineTo(i+n,a),t.lineTo(i+n,a+p),t.lineTo(i,a+p),t.lineTo(i,a),t.closePath(),null!=this.model.border_fill_color&&(t.fillStyle=(0,_.color2css)(this.model.border_fill_color),t.fill())}}s.GMapPlotView=d,d.__name__=\"GMapPlotView\"},\n function _(t,_,n,o,r){o();(0,t(1).__exportStar)(t(132),n)},\n function _(e,r,d,n,R){n(),R(\"GlyphRenderer\",e(175).GlyphRenderer),R(\"GraphRenderer\",e(339).GraphRenderer),R(\"GuideRenderer\",e(129).GuideRenderer);var G=e(41);R(\"Renderer\",G.Renderer),R(\"RendererGroup\",G.RendererGroup)},\n function _(e,r,i,n,t){var o;n();const s=e(176),d=e(175),a=e(303),p=e(302),l=e(113),_=e(178),h=e(283),y=e(286);class c extends s.DataRendererView{get glyph_view(){return this.node_view.glyph}async lazy_initialize(){await super.lazy_initialize(),this.apply_coordinates();const{parent:e}=this,{edge_renderer:r,node_renderer:i}=this.model;this.edge_view=await(0,l.build_view)(r,{parent:e}),this.node_view=await(0,l.build_view)(i,{parent:e})}connect_signals(){super.connect_signals(),this.connect(this.model.layout_provider.change,(()=>{this.apply_coordinates(),this.edge_view.set_data(),this.node_view.set_data(),this.request_render()}))}apply_coordinates(){const{edge_renderer:e,node_renderer:r}=this.model;if(!(e.glyph instanceof h.MultiLine||e.glyph instanceof y.Patches))throw new Error(`${this}.edge_renderer.glyph must be a MultiLine glyph`);if(!(r.glyph instanceof _.XYGlyph))throw new Error(`${this}.node_renderer.glyph must be a XYGlyph glyph`);const i=this.model.layout_provider.edge_coordinates,n=this.model.layout_provider.node_coordinates;e.glyph.properties.xs.internal=!0,e.glyph.properties.ys.internal=!0,r.glyph.properties.x.internal=!0,r.glyph.properties.y.internal=!0,e.glyph.xs={expr:i.x},e.glyph.ys={expr:i.y},r.glyph.x={expr:n.x},r.glyph.y={expr:n.y}}remove(){this.edge_view.remove(),this.node_view.remove(),super.remove()}_render(){this.edge_view.render(),this.node_view.render()}renderer_view(e){if(e instanceof d.GlyphRenderer){if(e==this.edge_view.model)return this.edge_view;if(e==this.node_view.model)return this.node_view}return super.renderer_view(e)}}i.GraphRendererView=c,c.__name__=\"GraphRendererView\";class g extends s.DataRenderer{constructor(e){super(e)}get_selection_manager(){return this.node_renderer.data_source.selection_manager}}i.GraphRenderer=g,o=g,g.__name__=\"GraphRenderer\",o.prototype.default_view=c,o.define((({Ref:e})=>({layout_provider:[e(a.LayoutProvider)],node_renderer:[e(d.GlyphRenderer)],edge_renderer:[e(d.GlyphRenderer)],selection_policy:[e(p.GraphHitTestPolicy),()=>new p.NodesOnly],inspection_policy:[e(p.GraphHitTestPolicy),()=>new p.NodesOnly]})))},\n function _(e,t,n,o,c){o();(0,e(1).__exportStar)(e(74),n),c(\"Selection\",e(72).Selection)},\n function _(a,e,S,o,r){o(),r(\"ServerSentDataSource\",a(342).ServerSentDataSource),r(\"AjaxDataSource\",a(344).AjaxDataSource),r(\"ColumnDataSource\",a(75).ColumnDataSource),r(\"ColumnarDataSource\",a(70).ColumnarDataSource),r(\"CDSView\",a(190).CDSView),r(\"DataSource\",a(71).DataSource),r(\"GeoJSONDataSource\",a(345).GeoJSONDataSource),r(\"WebDataSource\",a(343).WebDataSource)},\n function _(e,t,i,a,s){a();const n=e(343);class r extends n.WebDataSource{constructor(e){super(e),this.initialized=!1}setup(){if(!this.initialized){this.initialized=!0;new EventSource(this.data_url).onmessage=e=>{var t;this.load_data(JSON.parse(e.data),this.mode,null!==(t=this.max_size)&&void 0!==t?t:void 0)}}}}i.ServerSentDataSource=r,r.__name__=\"ServerSentDataSource\"},\n function _(e,t,a,n,r){var s;n();const l=e(75),o=e(20);class c extends l.ColumnDataSource{constructor(e){super(e)}get_column(e){const t=this.data[e];return null!=t?t:[]}get_length(){var e;return null!==(e=super.get_length())&&void 0!==e?e:0}initialize(){super.initialize(),this.setup()}load_data(e,t,a){const{adapter:n}=this;let r;switch(r=null!=n?n.execute(this,{response:e}):e,t){case\"replace\":this.data=r;break;case\"append\":{const e=this.data;for(const t of this.columns()){const n=Array.from(e[t]),s=Array.from(r[t]),l=n.concat(s);r[t]=null!=a?l.slice(-a):l}this.data=r;break}}}}a.WebDataSource=c,s=c,c.__name__=\"WebDataSource\",s.define((({Any:e,Int:t,String:a,Nullable:n})=>({max_size:[n(t),null],mode:[o.UpdateMode,\"replace\"],adapter:[n(e),null],data_url:[a]})))},\n function _(t,e,i,s,a){var n;s();const r=t(343),o=t(20),l=t(19),d=t(13);class h extends r.WebDataSource{constructor(t){super(t),this.interval=null,this.initialized=!1}destroy(){null!=this.interval&&clearInterval(this.interval),super.destroy()}setup(){if(!this.initialized&&(this.initialized=!0,this.get_data(this.mode),null!=this.polling_interval)){const t=()=>this.get_data(this.mode,this.max_size,this.if_modified);this.interval=setInterval(t,this.polling_interval)}}get_data(t,e=null,i=!1){const s=this.prepare_request();s.addEventListener(\"load\",(()=>this.do_load(s,t,null!=e?e:void 0))),s.addEventListener(\"error\",(()=>this.do_error(s))),s.send()}prepare_request(){const t=new XMLHttpRequest;t.open(this.method,this.data_url,!0),t.withCredentials=!1,t.setRequestHeader(\"Content-Type\",this.content_type);const e=this.http_headers;for(const[i,s]of(0,d.entries)(e))t.setRequestHeader(i,s);return t}do_load(t,e,i){if(200===t.status){const s=JSON.parse(t.responseText);this.load_data(s,e,i)}}do_error(t){l.logger.error(`Failed to fetch JSON from ${this.data_url} with code ${t.status}`)}}i.AjaxDataSource=h,n=h,h.__name__=\"AjaxDataSource\",n.define((({Boolean:t,Int:e,String:i,Dict:s,Nullable:a})=>({polling_interval:[a(e),null],content_type:[i,\"application/json\"],http_headers:[s(i),{}],method:[o.HTTPMethod,\"POST\"],if_modified:[t,!1]})))},\n function _(e,t,o,r,n){var s;r();const a=e(70),i=e(19),l=e(9),c=e(13);function _(e){return null!=e?e:NaN}const{hasOwnProperty:g}=Object.prototype;class u extends a.ColumnarDataSource{constructor(e){super(e)}initialize(){super.initialize(),this._update_data()}connect_signals(){super.connect_signals(),this.connect(this.properties.geojson.change,(()=>this._update_data()))}_update_data(){this.data=this.geojson_to_column_data()}_get_new_list_array(e){return(0,l.range)(0,e).map((e=>[]))}_get_new_nan_array(e){return(0,l.range)(0,e).map((e=>NaN))}_add_properties(e,t,o,r){var n;const s=null!==(n=e.properties)&&void 0!==n?n:{};for(const[e,n]of(0,c.entries)(s))g.call(t,e)||(t[e]=this._get_new_nan_array(r)),t[e][o]=_(n)}_add_geometry(e,t,o){function r(e,t){return e.concat([[NaN,NaN,NaN]]).concat(t)}switch(e.type){case\"Point\":{const[r,n,s]=e.coordinates;t.x[o]=r,t.y[o]=n,t.z[o]=_(s);break}case\"LineString\":{const{coordinates:r}=e;for(let e=0;e1&&i.logger.warn(\"Bokeh does not support Polygons with holes in, only exterior ring used.\");const r=e.coordinates[0];for(let e=0;e1&&i.logger.warn(\"Bokeh does not support Polygons with holes in, only exterior ring used.\"),n.push(t[0]);const s=n.reduce(r);for(let e=0;e({geojson:[e]}))),s.internal((({Dict:e,Arrayable:t})=>({data:[e(t),{}]})))},\n function _(e,r,T,o,S){o(),S(\"BBoxTileSource\",e(347).BBoxTileSource),S(\"MercatorTileSource\",e(348).MercatorTileSource),S(\"QUADKEYTileSource\",e(351).QUADKEYTileSource),S(\"TileRenderer\",e(352).TileRenderer),S(\"TileSource\",e(349).TileSource),S(\"TMSTileSource\",e(355).TMSTileSource),S(\"WMTSTileSource\",e(353).WMTSTileSource)},\n function _(e,t,r,o,l){var i;o();const n=e(348);class s extends n.MercatorTileSource{constructor(e){super(e)}get_image_url(e,t,r){const o=this.string_lookup_replace(this.url,this.extra_url_vars);let l,i,n,s;return this.use_latlon?[i,s,l,n]=this.get_tile_geographic_bounds(e,t,r):[i,s,l,n]=this.get_tile_meter_bounds(e,t,r),o.replace(\"{XMIN}\",i.toString()).replace(\"{YMIN}\",s.toString()).replace(\"{XMAX}\",l.toString()).replace(\"{YMAX}\",n.toString())}}r.BBoxTileSource=s,i=s,s.__name__=\"BBoxTileSource\",i.define((({Boolean:e})=>({use_latlon:[e,!1]})))},\n function _(t,e,i,_,s){var r;_();const o=t(349),n=t(9),l=t(350);class u extends o.TileSource{constructor(t){super(t)}initialize(){super.initialize(),this._resolutions=(0,n.range)(this.min_zoom,this.max_zoom+1).map((t=>this.get_resolution(t)))}_computed_initial_resolution(){return null!=this.initial_resolution?this.initial_resolution:2*Math.PI*6378137/this.tile_size}is_valid_tile(t,e,i){return!(!this.wrap_around&&(t<0||t>=2**i))&&!(e<0||e>=2**i)}parent_by_tile_xyz(t,e,i){const _=this.tile_xyz_to_quadkey(t,e,i),s=_.substring(0,_.length-1);return this.quadkey_to_tile_xyz(s)}get_resolution(t){return this._computed_initial_resolution()/2**t}get_resolution_by_extent(t,e,i){return[(t[2]-t[0])/i,(t[3]-t[1])/e]}get_level_by_extent(t,e,i){const _=(t[2]-t[0])/i,s=(t[3]-t[1])/e,r=Math.max(_,s);let o=0;for(const t of this._resolutions){if(r>t){if(0==o)return 0;if(o>0)return o-1}o+=1}return o-1}get_closest_level_by_extent(t,e,i){const _=(t[2]-t[0])/i,s=(t[3]-t[1])/e,r=Math.max(_,s),o=this._resolutions.reduce((function(t,e){return Math.abs(e-r)e?(u=o-s,a*=t):(u*=e,a=n-r)}const h=(u-(o-s))/2,c=(a-(n-r))/2;return[s-h,r-c,o+h,n+c]}tms_to_wmts(t,e,i){return[t,2**i-1-e,i]}wmts_to_tms(t,e,i){return[t,2**i-1-e,i]}pixels_to_meters(t,e,i){const _=this.get_resolution(i);return[t*_-this.x_origin_offset,e*_-this.y_origin_offset]}meters_to_pixels(t,e,i){const _=this.get_resolution(i);return[(t+this.x_origin_offset)/_,(e+this.y_origin_offset)/_]}pixels_to_tile(t,e){let i=Math.ceil(t/this.tile_size);i=0===i?i:i-1;return[i,Math.max(Math.ceil(e/this.tile_size)-1,0)]}pixels_to_raster(t,e,i){return[t,(this.tile_size<=l;t--)for(let i=n;i<=u;i++)this.is_valid_tile(i,t,e)&&h.push([i,t,e,this.get_tile_meter_bounds(i,t,e)]);return this.sort_tiles_from_center(h,[n,l,u,a]),h}quadkey_to_tile_xyz(t){let e=0,i=0;const _=t.length;for(let s=_;s>0;s--){const r=1<0;s--){const i=1<0;)if(s=s.substring(0,s.length-1),[t,e,i]=this.quadkey_to_tile_xyz(s),[t,e,i]=this.denormalize_xyz(t,e,i,_),this.tiles.has(this.tile_xyz_to_key(t,e,i)))return[t,e,i];return[0,0,0]}normalize_xyz(t,e,i){if(this.wrap_around){const _=2**i;return[(t%_+_)%_,e,i]}return[t,e,i]}denormalize_xyz(t,e,i,_){return[t+_*2**i,e,i]}denormalize_meters(t,e,i,_){return[t+2*_*Math.PI*6378137,e]}calculate_world_x_by_tile_xyz(t,e,i){return Math.floor(t/2**i)}}i.MercatorTileSource=u,r=u,u.__name__=\"MercatorTileSource\",r.define((({Boolean:t})=>({snap_to_zoom:[t,!1],wrap_around:[t,!0]}))),r.override({x_origin_offset:20037508.34,y_origin_offset:20037508.34,initial_resolution:156543.03392804097})},\n function _(e,t,r,i,n){var l;i();const a=e(53),s=e(13);class c extends a.Model{constructor(e){super(e)}initialize(){super.initialize(),this.tiles=new Map,this._normalize_case()}connect_signals(){super.connect_signals(),this.connect(this.change,(()=>this._clear_cache()))}string_lookup_replace(e,t){let r=e;for(const[e,i]of(0,s.entries)(t))r=r.replace(`{${e}}`,i);return r}_normalize_case(){const e=this.url.replace(\"{x}\",\"{X}\").replace(\"{y}\",\"{Y}\").replace(\"{z}\",\"{Z}\").replace(\"{q}\",\"{Q}\").replace(\"{xmin}\",\"{XMIN}\").replace(\"{ymin}\",\"{YMIN}\").replace(\"{xmax}\",\"{XMAX}\").replace(\"{ymax}\",\"{YMAX}\");this.url=e}_clear_cache(){this.tiles=new Map}tile_xyz_to_key(e,t,r){return`${e}:${t}:${r}`}key_to_tile_xyz(e){const[t,r,i]=e.split(\":\").map((e=>parseInt(e)));return[t,r,i]}sort_tiles_from_center(e,t){const[r,i,n,l]=t,a=(n-r)/2+r,s=(l-i)/2+i;e.sort((function(e,t){return Math.sqrt((a-e[0])**2+(s-e[1])**2)-Math.sqrt((a-t[0])**2+(s-t[1])**2)}))}get_image_url(e,t,r){return this.string_lookup_replace(this.url,this.extra_url_vars).replace(\"{X}\",e.toString()).replace(\"{Y}\",t.toString()).replace(\"{Z}\",r.toString())}}r.TileSource=c,l=c,c.__name__=\"TileSource\",l.define((({Number:e,String:t,Dict:r,Nullable:i})=>({url:[t,\"\"],tile_size:[e,256],max_zoom:[e,30],min_zoom:[e,0],extra_url_vars:[r(t),{}],attribution:[t,\"\"],x_origin_offset:[e],y_origin_offset:[e],initial_resolution:[i(e),null]})))},\n function _(t,e,r,n,o){n();const c=t(78);function _(t,e){return c.wgs84_mercator.compute(t,e)}function g(t,e){return c.wgs84_mercator.invert(t,e)}r.geographic_to_meters=_,r.meters_to_geographic=g,r.geographic_extent_to_meters=function(t){const[e,r,n,o]=t,[c,g]=_(e,r),[i,u]=_(n,o);return[c,g,i,u]},r.meters_extent_to_geographic=function(t){const[e,r,n,o]=t,[c,_]=g(e,r),[i,u]=g(n,o);return[c,_,i,u]}},\n function _(e,t,r,s,_){s();const o=e(348);class c extends o.MercatorTileSource{constructor(e){super(e)}get_image_url(e,t,r){const s=this.string_lookup_replace(this.url,this.extra_url_vars),[_,o,c]=this.tms_to_wmts(e,t,r),i=this.tile_xyz_to_quadkey(_,o,c);return s.replace(\"{Q}\",i)}}r.QUADKEYTileSource=c,c.__name__=\"QUADKEYTileSource\"},\n function _(t,e,i,s,_){s();const n=t(1);var a;const o=t(349),r=t(353),h=t(41),l=t(58),d=t(43),m=t(136),c=t(9),u=t(8),p=(0,n.__importStar)(t(354));class g extends h.RendererView{initialize(){this._tiles=[],super.initialize()}connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.request_render())),this.connect(this.model.tile_source.change,(()=>this.request_render()))}remove(){null!=this.attribution_el&&(0,d.removeElement)(this.attribution_el),super.remove()}styles(){return[...super.styles(),p.default]}get_extent(){return[this.x_range.start,this.y_range.start,this.x_range.end,this.y_range.end]}get map_plot(){return this.plot_model}get map_canvas(){return this.layer.ctx}get map_frame(){return this.plot_view.frame}get x_range(){return this.map_plot.x_range}get y_range(){return this.map_plot.y_range}_set_data(){this.extent=this.get_extent(),this._last_height=void 0,this._last_width=void 0}_update_attribution(){null!=this.attribution_el&&(0,d.removeElement)(this.attribution_el);const{attribution:t}=this.model.tile_source;if((0,u.isString)(t)&&t.length>0){const{layout:e,frame:i}=this.plot_view,s=e.bbox.width-i.bbox.right,_=e.bbox.height-i.bbox.bottom,n=i.bbox.width;this.attribution_el=(0,d.div)({class:p.tile_attribution,style:{position:\"absolute\",right:`${s}px`,bottom:`${_}px`,\"max-width\":n-4+\"px\",padding:\"2px\",\"background-color\":\"rgba(255,255,255,0.5)\",\"font-size\":\"9px\",\"line-height\":\"1.05\",\"white-space\":\"nowrap\",overflow:\"hidden\",\"text-overflow\":\"ellipsis\"}}),this.plot_view.canvas_view.add_event(this.attribution_el),this.attribution_el.innerHTML=t,this.attribution_el.title=this.attribution_el.textContent.replace(/\\s*\\n\\s*/g,\" \")}}_map_data(){this.initial_extent=this.get_extent();const t=this.model.tile_source.get_level_by_extent(this.initial_extent,this.map_frame.bbox.height,this.map_frame.bbox.width),e=this.model.tile_source.snap_to_zoom_level(this.initial_extent,this.map_frame.bbox.height,this.map_frame.bbox.width,t);this.x_range.start=e[0],this.y_range.start=e[1],this.x_range.end=e[2],this.y_range.end=e[3],this.x_range instanceof l.Range1d&&(this.x_range.reset_start=e[0],this.x_range.reset_end=e[2]),this.y_range instanceof l.Range1d&&(this.y_range.reset_start=e[1],this.y_range.reset_end=e[3]),this._update_attribution()}_create_tile(t,e,i,s,_=!1){const n=this.model.tile_source.tile_xyz_to_quadkey(t,e,i),a=this.model.tile_source.tile_xyz_to_key(t,e,i);if(this.model.tile_source.tiles.has(a))return;const[o,r,h]=this.model.tile_source.normalize_xyz(t,e,i),l=this.model.tile_source.get_image_url(o,r,h),d={img:void 0,tile_coords:[t,e,i],normalized_coords:[o,r,h],quadkey:n,cache_key:a,bounds:s,loaded:!1,finished:!1,x_coord:s[0],y_coord:s[3]};this.model.tile_source.tiles.set(a,d),this._tiles.push(d),new m.ImageLoader(l,{loaded:t=>{Object.assign(d,{img:t,loaded:!0}),_?(d.finished=!0,this.notify_finished()):this.request_render()},failed(){d.finished=!0}})}_enforce_aspect_ratio(){if(this._last_height!==this.map_frame.bbox.height||this._last_width!==this.map_frame.bbox.width){const t=this.get_extent(),e=this.model.tile_source.get_level_by_extent(t,this.map_frame.bbox.height,this.map_frame.bbox.width),i=this.model.tile_source.snap_to_zoom_level(t,this.map_frame.bbox.height,this.map_frame.bbox.width,e);this.x_range.setv({start:i[0],end:i[2]}),this.y_range.setv({start:i[1],end:i[3]}),this.extent=i,this._last_height=this.map_frame.bbox.height,this._last_width=this.map_frame.bbox.width}}has_finished(){if(!super.has_finished())return!1;if(0==this._tiles.length)return!1;for(const t of this._tiles)if(!t.finished)return!1;return!0}_render(){null==this.map_initialized&&(this._set_data(),this._map_data(),this.map_initialized=!0),this._enforce_aspect_ratio(),this._update(),null!=this.prefetch_timer&&clearTimeout(this.prefetch_timer),this.prefetch_timer=setTimeout(this._prefetch_tiles.bind(this),500),this.has_finished()&&this.notify_finished()}_draw_tile(t){const e=this.model.tile_source.tiles.get(t);if(null!=e&&e.loaded){const[[t],[i]]=this.coordinates.map_to_screen([e.bounds[0]],[e.bounds[3]]),[[s],[_]]=this.coordinates.map_to_screen([e.bounds[2]],[e.bounds[1]]),n=s-t,a=_-i,o=t,r=i,h=this.map_canvas.getImageSmoothingEnabled();this.map_canvas.setImageSmoothingEnabled(this.model.smoothing),this.map_canvas.drawImage(e.img,o,r,n,a),this.map_canvas.setImageSmoothingEnabled(h),e.finished=!0}}_set_rect(){const t=this.plot_model.outline_line_width,e=this.map_frame.bbox.left+t/2,i=this.map_frame.bbox.top+t/2,s=this.map_frame.bbox.width-t,_=this.map_frame.bbox.height-t;this.map_canvas.rect(e,i,s,_),this.map_canvas.clip()}_render_tiles(t){this.map_canvas.save(),this._set_rect(),this.map_canvas.globalAlpha=this.model.alpha;for(const e of t)this._draw_tile(e);this.map_canvas.restore()}_prefetch_tiles(){const{tile_source:t}=this.model,e=this.get_extent(),i=this.map_frame.bbox.height,s=this.map_frame.bbox.width,_=this.model.tile_source.get_level_by_extent(e,i,s),n=this.model.tile_source.get_tiles_by_extent(e,_);for(let e=0,i=Math.min(10,n.length);ei&&(s=this.extent,o=i,r=!0),r&&(this.x_range.setv({start:s[0],end:s[2]}),this.y_range.setv({start:s[1],end:s[3]})),this.extent=s;const h=t.get_tiles_by_extent(s,o),l=[],d=[],m=[],u=[];for(const e of h){const[i,s,n]=e,a=t.tile_xyz_to_key(i,s,n),o=t.tiles.get(a);if(null!=o&&o.loaded)d.push(a);else if(this.model.render_parents){const[e,a,o]=t.get_closest_parent_by_tile_xyz(i,s,n),r=t.tile_xyz_to_key(e,a,o),h=t.tiles.get(r);if(null!=h&&h.loaded&&!(0,c.includes)(m,r)&&m.push(r),_){const e=t.children_by_tile_xyz(i,s,n);for(const[i,s,_]of e){const e=t.tile_xyz_to_key(i,s,_);t.tiles.has(e)&&u.push(e)}}}null==o&&l.push(e)}this._render_tiles(m),this._render_tiles(u),this._render_tiles(d),null!=this.render_timer&&clearTimeout(this.render_timer),this.render_timer=setTimeout((()=>this._fetch_tiles(l)),65)}}i.TileRendererView=g,g.__name__=\"TileRendererView\";class b extends h.Renderer{constructor(t){super(t)}}i.TileRenderer=b,a=b,b.__name__=\"TileRenderer\",a.prototype.default_view=g,a.define((({Boolean:t,Number:e,Ref:i})=>({alpha:[e,1],smoothing:[t,!0],tile_source:[i(o.TileSource),()=>new r.WMTSTileSource],render_parents:[t,!0]}))),a.override({level:\"image\"})},\n function _(t,e,r,o,s){o();const c=t(348);class i extends c.MercatorTileSource{constructor(t){super(t)}get_image_url(t,e,r){const o=this.string_lookup_replace(this.url,this.extra_url_vars),[s,c,i]=this.tms_to_wmts(t,e,r);return o.replace(\"{X}\",s.toString()).replace(\"{Y}\",c.toString()).replace(\"{Z}\",i.toString())}}r.WMTSTileSource=i,i.__name__=\"WMTSTileSource\"},\n function _(t,o,i,b,r){b(),i.root=\"bk-root\",i.tile_attribution=\"bk-tile-attribution\",i.default=\".bk-root .bk-tile-attribution a{color:black;}\"},\n function _(e,r,t,c,o){c();const i=e(348);class l extends i.MercatorTileSource{constructor(e){super(e)}get_image_url(e,r,t){return this.string_lookup_replace(this.url,this.extra_url_vars).replace(\"{X}\",e.toString()).replace(\"{Y}\",r.toString()).replace(\"{Z}\",t.toString())}}t.TMSTileSource=l,l.__name__=\"TMSTileSource\"},\n function _(e,t,u,a,r){a(),r(\"CanvasTexture\",e(357).CanvasTexture),r(\"ImageURLTexture\",e(359).ImageURLTexture),r(\"Texture\",e(358).Texture)},\n function _(t,e,n,c,s){var r;c();const o=t(358),a=t(34);class u extends o.Texture{constructor(t){super(t)}get func(){const t=(0,a.use_strict)(this.code);return new Function(\"ctx\",\"color\",\"scale\",\"weight\",t)}get_pattern(t,e,n){const c=document.createElement(\"canvas\");c.width=e,c.height=e;const s=c.getContext(\"2d\");return this.func.call(this,s,t,e,n),c}}n.CanvasTexture=u,r=u,u.__name__=\"CanvasTexture\",r.define((({String:t})=>({code:[t]})))},\n function _(e,t,n,r,o){var i;r();const s=e(53),u=e(20);class c extends s.Model{constructor(e){super(e)}}n.Texture=c,i=c,c.__name__=\"Texture\",i.define((()=>({repetition:[u.TextureRepetition,\"repeat\"]})))},\n function _(e,t,i,r,n){var a;r();const s=e(358),o=e(136);class u extends s.Texture{constructor(e){super(e)}initialize(){super.initialize(),this._loader=new o.ImageLoader(this.url)}get_pattern(e,t,i){const{_loader:r}=this;return this._loader.finished?r.image:r.promise}}i.ImageURLTexture=u,a=u,u.__name__=\"ImageURLTexture\",a.define((({String:e})=>({url:[e]})))},\n function _(o,l,T,e,t){e(),t(\"ActionTool\",o(238).ActionTool),t(\"CustomAction\",o(361).CustomAction),t(\"HelpTool\",o(239).HelpTool),t(\"RedoTool\",o(362).RedoTool),t(\"ResetTool\",o(363).ResetTool),t(\"SaveTool\",o(364).SaveTool),t(\"UndoTool\",o(365).UndoTool),t(\"ZoomInTool\",o(366).ZoomInTool),t(\"ZoomOutTool\",o(369).ZoomOutTool),t(\"ButtonTool\",o(224).ButtonTool),t(\"EditTool\",o(370).EditTool),t(\"BoxEditTool\",o(371).BoxEditTool),t(\"FreehandDrawTool\",o(372).FreehandDrawTool),t(\"PointDrawTool\",o(373).PointDrawTool),t(\"PolyDrawTool\",o(374).PolyDrawTool),t(\"PolyTool\",o(375).PolyTool),t(\"PolyEditTool\",o(376).PolyEditTool),t(\"BoxSelectTool\",o(377).BoxSelectTool),t(\"BoxZoomTool\",o(379).BoxZoomTool),t(\"GestureTool\",o(223).GestureTool),t(\"LassoSelectTool\",o(380).LassoSelectTool),t(\"LineEditTool\",o(382).LineEditTool),t(\"PanTool\",o(384).PanTool),t(\"PolySelectTool\",o(381).PolySelectTool),t(\"RangeTool\",o(385).RangeTool),t(\"SelectTool\",o(378).SelectTool),t(\"TapTool\",o(386).TapTool),t(\"WheelPanTool\",o(387).WheelPanTool),t(\"WheelZoomTool\",o(388).WheelZoomTool),t(\"CrosshairTool\",o(389).CrosshairTool),t(\"CustomJSHover\",o(390).CustomJSHover),t(\"HoverTool\",o(391).HoverTool),t(\"InspectTool\",o(232).InspectTool),t(\"Tool\",o(222).Tool),t(\"ToolProxy\",o(394).ToolProxy),t(\"Toolbar\",o(221).Toolbar),t(\"ToolbarBase\",o(233).ToolbarBase),t(\"ProxyToolbar\",o(395).ProxyToolbar),t(\"ToolbarBox\",o(395).ToolbarBox)},\n function _(t,o,e,s,n){var c;s();const i=t(238);class u extends i.ActionToolButtonView{css_classes(){return super.css_classes().concat(\"bk-toolbar-button-custom-action\")}}e.CustomActionButtonView=u,u.__name__=\"CustomActionButtonView\";class l extends i.ActionToolView{doit(){var t;null===(t=this.model.callback)||void 0===t||t.execute(this.model)}}e.CustomActionView=l,l.__name__=\"CustomActionView\";class a extends i.ActionTool{constructor(t){super(t),this.tool_name=\"Custom Action\",this.button_view=u}}e.CustomAction=a,c=a,a.__name__=\"CustomAction\",c.prototype.default_view=l,c.define((({Any:t,String:o,Nullable:e})=>({callback:[e(t)],icon:[o]}))),c.override({description:\"Perform a Custom Action\"})},\n function _(e,o,t,i,s){var n;i();const l=e(238),_=e(228);class d extends l.ActionToolView{connect_signals(){super.connect_signals(),this.connect(this.plot_view.state.changed,(()=>this.model.disabled=!this.plot_view.state.can_redo))}doit(){const e=this.plot_view.state.redo();null!=(null==e?void 0:e.range)&&this.plot_view.trigger_ranges_update_event()}}t.RedoToolView=d,d.__name__=\"RedoToolView\";class a extends l.ActionTool{constructor(e){super(e),this.tool_name=\"Redo\",this.icon=_.tool_icon_redo}}t.RedoTool=a,n=a,a.__name__=\"RedoTool\",n.prototype.default_view=d,n.override({disabled:!0}),n.register_alias(\"redo\",(()=>new a))},\n function _(e,o,t,s,i){var _;s();const n=e(238),l=e(228);class c extends n.ActionToolView{doit(){this.plot_view.reset()}}t.ResetToolView=c,c.__name__=\"ResetToolView\";class r extends n.ActionTool{constructor(e){super(e),this.tool_name=\"Reset\",this.icon=l.tool_icon_reset}}t.ResetTool=r,_=r,r.__name__=\"ResetTool\",_.prototype.default_view=c,_.register_alias(\"reset\",(()=>new r))},\n function _(e,o,t,a,i){var s;a();const c=e(238),n=e(228);class l extends c.ActionToolView{async copy(){const e=await this.plot_view.to_blob(),o=new ClipboardItem({[e.type]:Promise.resolve(e)});await navigator.clipboard.write([o])}async save(e){const o=await this.plot_view.to_blob(),t=document.createElement(\"a\");t.href=URL.createObjectURL(o),t.download=e,t.target=\"_blank\",t.dispatchEvent(new MouseEvent(\"click\"))}doit(e=\"save\"){switch(e){case\"save\":this.save(\"bokeh_plot\");break;case\"copy\":this.copy()}}}t.SaveToolView=l,l.__name__=\"SaveToolView\";class r extends c.ActionTool{constructor(e){super(e),this.tool_name=\"Save\",this.icon=n.tool_icon_save}get menu(){return[{icon:\"bk-tool-icon-copy-to-clipboard\",tooltip:\"Copy image to clipboard\",if:()=>\"undefined\"!=typeof ClipboardItem,handler:()=>{this.do.emit(\"copy\")}}]}}t.SaveTool=r,s=r,r.__name__=\"SaveTool\",s.prototype.default_view=l,s.register_alias(\"save\",(()=>new r))},\n function _(o,e,t,n,i){var s;n();const l=o(238),_=o(228);class d extends l.ActionToolView{connect_signals(){super.connect_signals(),this.connect(this.plot_view.state.changed,(()=>this.model.disabled=!this.plot_view.state.can_undo))}doit(){const o=this.plot_view.state.undo();null!=(null==o?void 0:o.range)&&this.plot_view.trigger_ranges_update_event()}}t.UndoToolView=d,d.__name__=\"UndoToolView\";class a extends l.ActionTool{constructor(o){super(o),this.tool_name=\"Undo\",this.icon=_.tool_icon_undo}}t.UndoTool=a,s=a,a.__name__=\"UndoTool\",s.prototype.default_view=d,s.override({disabled:!0}),s.register_alias(\"undo\",(()=>new a))},\n function _(o,n,e,i,s){var t;i();const _=o(367),m=o(228);class a extends _.ZoomBaseToolView{}e.ZoomInToolView=a,a.__name__=\"ZoomInToolView\";class l extends _.ZoomBaseTool{constructor(o){super(o),this.sign=1,this.tool_name=\"Zoom In\",this.icon=m.tool_icon_zoom_in}}e.ZoomInTool=l,t=l,l.__name__=\"ZoomInTool\",t.prototype.default_view=a,t.register_alias(\"zoom_in\",(()=>new l({dimensions:\"both\"}))),t.register_alias(\"xzoom_in\",(()=>new l({dimensions:\"width\"}))),t.register_alias(\"yzoom_in\",(()=>new l({dimensions:\"height\"})))},\n function _(o,t,e,i,s){var n;i();const a=o(238),_=o(20),l=o(368);class m extends a.ActionToolView{doit(){var o;const t=this.plot_view.frame,e=this.model.dimensions,i=\"width\"==e||\"both\"==e,s=\"height\"==e||\"both\"==e,n=(0,l.scale_range)(t,this.model.sign*this.model.factor,i,s);this.plot_view.state.push(\"zoom_out\",{range:n}),this.plot_view.update_range(n,{scrolling:!0,maintain_focus:this.model.maintain_focus}),null===(o=this.model.document)||void 0===o||o.interactive_start(this.plot_model),this.plot_view.trigger_ranges_update_event()}}e.ZoomBaseToolView=m,m.__name__=\"ZoomBaseToolView\";class h extends a.ActionTool{constructor(o){super(o),this.maintain_focus=!0}get tooltip(){return this._get_dim_tooltip(this.dimensions)}}e.ZoomBaseTool=h,n=h,h.__name__=\"ZoomBaseTool\",n.define((({Percent:o})=>({factor:[o,.1],dimensions:[_.Dimensions,\"both\"]})))},\n function _(n,t,o,r,s){r();const c=n(10);function e(n,t,o){const[r,s]=[n.start,n.end],c=null!=o?o:(s+r)/2;return[r-(r-c)*t,s-(s-c)*t]}function a(n,[t,o]){const r=new Map;for(const[s,c]of n){const[n,e]=c.r_invert(t,o);r.set(s,{start:n,end:e})}return r}o.scale_highlow=e,o.get_info=a,o.scale_range=function(n,t,o=!0,r=!0,s){t=(0,c.clamp)(t,-.9,.9);const l=o?t:0,[u,i]=e(n.bbox.h_range,l,null!=s?s.x:void 0),_=a(n.x_scales,[u,i]),f=r?t:0,[g,x]=e(n.bbox.v_range,f,null!=s?s.y:void 0);return{xrs:_,yrs:a(n.y_scales,[g,x]),factor:t}}},\n function _(o,e,t,i,s){var n;i();const _=o(367),a=o(228);class m extends _.ZoomBaseToolView{}t.ZoomOutToolView=m,m.__name__=\"ZoomOutToolView\";class l extends _.ZoomBaseTool{constructor(o){super(o),this.sign=-1,this.tool_name=\"Zoom Out\",this.icon=a.tool_icon_zoom_out}}t.ZoomOutTool=l,n=l,l.__name__=\"ZoomOutTool\",n.prototype.default_view=m,n.define((({Boolean:o})=>({maintain_focus:[o,!0]}))),n.register_alias(\"zoom_out\",(()=>new l({dimensions:\"both\"}))),n.register_alias(\"xzoom_out\",(()=>new l({dimensions:\"width\"}))),n.register_alias(\"yzoom_out\",(()=>new l({dimensions:\"height\"})))},\n function _(e,t,s,o,n){var r;o();const i=e(9),c=e(8),a=e(11),_=e(175),l=e(223);class d extends l.GestureToolView{constructor(){super(...arguments),this._mouse_in_frame=!0}_select_mode(e){const{shiftKey:t,ctrlKey:s}=e;return t||s?t&&!s?\"append\":!t&&s?\"intersect\":t&&s?\"subtract\":void(0,a.unreachable)():\"replace\"}_move_enter(e){this._mouse_in_frame=!0}_move_exit(e){this._mouse_in_frame=!1}_map_drag(e,t,s){if(!this.plot_view.frame.bbox.contains(e,t))return null;const o=this.plot_view.renderer_view(s);if(null==o)return null;return[o.coordinates.x_scale.invert(e),o.coordinates.y_scale.invert(t)]}_delete_selected(e){const t=e.data_source,s=t.selected.indices;s.sort();for(const e of t.columns()){const o=t.get_array(e);for(let e=0;e({custom_icon:[n(t),null],empty_value:[e],renderers:[s(o(_.GlyphRenderer)),[]]})))},\n function _(e,t,s,i,_){var o;i();const n=e(43),a=e(20),d=e(370),l=e(228);class r extends d.EditToolView{_tap(e){null==this._draw_basepoint&&null==this._basepoint&&this._select_event(e,this._select_mode(e),this.model.renderers)}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)if(e.keyCode===n.Keys.Backspace)this._delete_selected(t);else if(e.keyCode==n.Keys.Esc){t.data_source.selection_manager.clear()}}_set_extent([e,t],[s,i],_,o=!1){const n=this.model.renderers[0],a=this.plot_view.renderer_view(n);if(null==a)return;const d=n.glyph,l=n.data_source,[r,h]=a.coordinates.x_scale.r_invert(e,t),[p,u]=a.coordinates.y_scale.r_invert(s,i),[c,m]=[(r+h)/2,(p+u)/2],[f,b]=[h-r,u-p],[y,x]=[d.x.field,d.y.field],[w,v]=[d.width.field,d.height.field];if(_)this._pop_glyphs(l,this.model.num_objects),y&&l.get_array(y).push(c),x&&l.get_array(x).push(m),w&&l.get_array(w).push(f),v&&l.get_array(v).push(b),this._pad_empty_columns(l,[y,x,w,v]);else{const e=l.data[y].length-1;y&&(l.data[y][e]=c),x&&(l.data[x][e]=m),w&&(l.data[w][e]=f),v&&(l.data[v][e]=b)}this._emit_cds_changes(l,!0,!1,o)}_update_box(e,t=!1,s=!1){if(null==this._draw_basepoint)return;const i=[e.sx,e.sy],_=this.plot_view.frame,o=this.model.dimensions,n=this.model._get_dim_limits(this._draw_basepoint,i,_,o);if(null!=n){const[e,i]=n;this._set_extent(e,i,t,s)}}_doubletap(e){this.model.active&&(null!=this._draw_basepoint?(this._update_box(e,!1,!0),this._draw_basepoint=null):(this._draw_basepoint=[e.sx,e.sy],this._select_event(e,\"append\",this.model.renderers),this._update_box(e,!0,!1)))}_move(e){this._update_box(e,!1,!1)}_pan_start(e){if(e.shiftKey){if(null!=this._draw_basepoint)return;this._draw_basepoint=[e.sx,e.sy],this._update_box(e,!0,!1)}else{if(null!=this._basepoint)return;this._select_event(e,\"append\",this.model.renderers),this._basepoint=[e.sx,e.sy]}}_pan(e,t=!1,s=!1){if(e.shiftKey){if(null==this._draw_basepoint)return;this._update_box(e,t,s)}else{if(null==this._basepoint)return;this._drag_points(e,this.model.renderers)}}_pan_end(e){if(this._pan(e,!1,!0),e.shiftKey)this._draw_basepoint=null;else{this._basepoint=null;for(const e of this.model.renderers)this._emit_cds_changes(e.data_source,!1,!0,!0)}}}s.BoxEditToolView=r,r.__name__=\"BoxEditToolView\";class h extends d.EditTool{constructor(e){super(e),this.tool_name=\"Box Edit Tool\",this.icon=l.tool_icon_box_edit,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=1}}s.BoxEditTool=h,o=h,h.__name__=\"BoxEditTool\",o.prototype.default_view=r,o.define((({Int:e})=>({dimensions:[a.Dimensions,\"both\"],num_objects:[e,0]})))},\n function _(e,t,a,s,r){var _;s();const d=e(43),o=e(8),n=e(370),i=e(228);class l extends n.EditToolView{_draw(e,t,a=!1){if(!this.model.active)return;const s=this.model.renderers[0],r=this._map_drag(e.sx,e.sy,s);if(null==r)return;const[_,d]=r,n=s.data_source,i=s.glyph,[l,h]=[i.xs.field,i.ys.field];if(\"new\"==t)this._pop_glyphs(n,this.model.num_objects),l&&n.get_array(l).push([_]),h&&n.get_array(h).push([d]),this._pad_empty_columns(n,[l,h]);else if(\"add\"==t){if(l){const e=n.data[l].length-1;let t=n.get_array(l)[e];(0,o.isArray)(t)||(t=Array.from(t),n.data[l][e]=t),t.push(_)}if(h){const e=n.data[h].length-1;let t=n.get_array(h)[e];(0,o.isArray)(t)||(t=Array.from(t),n.data[h][e]=t),t.push(d)}}this._emit_cds_changes(n,!0,!0,a)}_pan_start(e){this._draw(e,\"new\")}_pan(e){this._draw(e,\"add\")}_pan_end(e){this._draw(e,\"add\",!0)}_tap(e){this._select_event(e,this._select_mode(e),this.model.renderers)}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)e.keyCode===d.Keys.Esc?t.data_source.selection_manager.clear():e.keyCode===d.Keys.Backspace&&this._delete_selected(t)}}a.FreehandDrawToolView=l,l.__name__=\"FreehandDrawToolView\";class h extends n.EditTool{constructor(e){super(e),this.tool_name=\"Freehand Draw Tool\",this.icon=i.tool_icon_freehand_draw,this.event_type=[\"pan\",\"tap\"],this.default_order=3}}a.FreehandDrawTool=h,_=h,h.__name__=\"FreehandDrawTool\",_.prototype.default_view=l,_.define((({Int:e})=>({num_objects:[e,0]}))),_.register_alias(\"freehand_draw\",(()=>new h))},\n function _(e,t,s,o,a){var i;o();const n=e(43),_=e(370),r=e(228);class d extends _.EditToolView{_tap(e){if(this._select_event(e,this._select_mode(e),this.model.renderers).length||!this.model.add)return;const t=this.model.renderers[0],s=this._map_drag(e.sx,e.sy,t);if(null==s)return;const o=t.glyph,a=t.data_source,[i,n]=[o.x.field,o.y.field],[_,r]=s;this._pop_glyphs(a,this.model.num_objects),i&&a.get_array(i).push(_),n&&a.get_array(n).push(r),this._pad_empty_columns(a,[i,n]),a.change.emit(),a.data=a.data,a.properties.data.change.emit()}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)e.keyCode===n.Keys.Backspace?this._delete_selected(t):e.keyCode==n.Keys.Esc&&t.data_source.selection_manager.clear()}_pan_start(e){this.model.drag&&(this._select_event(e,\"append\",this.model.renderers),this._basepoint=[e.sx,e.sy])}_pan(e){this.model.drag&&null!=this._basepoint&&this._drag_points(e,this.model.renderers)}_pan_end(e){if(this.model.drag){this._pan(e);for(const e of this.model.renderers)this._emit_cds_changes(e.data_source,!1,!0,!0);this._basepoint=null}}}s.PointDrawToolView=d,d.__name__=\"PointDrawToolView\";class l extends _.EditTool{constructor(e){super(e),this.tool_name=\"Point Draw Tool\",this.icon=r.tool_icon_point_draw,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=2}}s.PointDrawTool=l,i=l,l.__name__=\"PointDrawTool\",i.prototype.default_view=d,i.define((({Boolean:e,Int:t})=>({add:[e,!0],drag:[e,!0],num_objects:[t,0]})))},\n function _(e,t,s,i,a){var r;i();const o=e(43),n=e(8),d=e(375),_=e(228);class h extends d.PolyToolView{constructor(){super(...arguments),this._drawing=!1,this._initialized=!1}_tap(e){this._drawing?this._draw(e,\"add\",!0):this._select_event(e,this._select_mode(e),this.model.renderers)}_draw(e,t,s=!1){const i=this.model.renderers[0],a=this._map_drag(e.sx,e.sy,i);if(this._initialized||this.activate(),null==a)return;const[r,o]=this._snap_to_vertex(e,...a),d=i.data_source,_=i.glyph,[h,l]=[_.xs.field,_.ys.field];if(\"new\"==t)this._pop_glyphs(d,this.model.num_objects),h&&d.get_array(h).push([r,r]),l&&d.get_array(l).push([o,o]),this._pad_empty_columns(d,[h,l]);else if(\"edit\"==t){if(h){const e=d.data[h][d.data[h].length-1];e[e.length-1]=r}if(l){const e=d.data[l][d.data[l].length-1];e[e.length-1]=o}}else if(\"add\"==t){if(h){const e=d.data[h].length-1;let t=d.get_array(h)[e];const s=t[t.length-1];t[t.length-1]=r,(0,n.isArray)(t)||(t=Array.from(t),d.data[h][e]=t),t.push(s)}if(l){const e=d.data[l].length-1;let t=d.get_array(l)[e];const s=t[t.length-1];t[t.length-1]=o,(0,n.isArray)(t)||(t=Array.from(t),d.data[l][e]=t),t.push(s)}}this._emit_cds_changes(d,!0,!1,s)}_show_vertices(){if(!this.model.active)return;const e=[],t=[];for(let s=0;sthis._show_vertices()))}this._initialized=!0}}deactivate(){this._drawing&&(this._remove(),this._drawing=!1),this.model.vertex_renderer&&this._hide_vertices()}}s.PolyDrawToolView=h,h.__name__=\"PolyDrawToolView\";class l extends d.PolyTool{constructor(e){super(e),this.tool_name=\"Polygon Draw Tool\",this.icon=_.tool_icon_poly_draw,this.event_type=[\"pan\",\"tap\",\"move\"],this.default_order=3}}s.PolyDrawTool=l,r=l,l.__name__=\"PolyDrawTool\",r.prototype.default_view=h,r.define((({Boolean:e,Int:t})=>({drag:[e,!0],num_objects:[t,0]})))},\n function _(e,r,t,s,o){var _;s();const d=e(8),i=e(370);class l extends i.EditToolView{_set_vertices(e,r){const t=this.model.vertex_renderer.glyph,s=this.model.vertex_renderer.data_source,[o,_]=[t.x.field,t.y.field];o&&((0,d.isArray)(e)?s.data[o]=e:t.x={value:e}),_&&((0,d.isArray)(r)?s.data[_]=r:t.y={value:r}),this._emit_cds_changes(s,!0,!0,!1)}_hide_vertices(){this._set_vertices([],[])}_snap_to_vertex(e,r,t){if(this.model.vertex_renderer){const s=this._select_event(e,\"replace\",[this.model.vertex_renderer]),o=this.model.vertex_renderer.data_source,_=this.model.vertex_renderer.glyph,[d,i]=[_.x.field,_.y.field];if(s.length){const e=o.selected.indices[0];d&&(r=o.data[d][e]),i&&(t=o.data[i][e]),o.selection_manager.clear()}}return[r,t]}}t.PolyToolView=l,l.__name__=\"PolyToolView\";class n extends i.EditTool{constructor(e){super(e)}}t.PolyTool=n,_=n,n.__name__=\"PolyTool\",_.define((({AnyRef:e})=>({vertex_renderer:[e()]})))},\n function _(e,t,s,r,i){var _;r();const d=e(43),n=e(8),l=e(375),a=e(228);class c extends l.PolyToolView{constructor(){super(...arguments),this._drawing=!1,this._cur_index=null}_doubletap(e){if(!this.model.active)return;const t=this._map_drag(e.sx,e.sy,this.model.vertex_renderer);if(null==t)return;const[s,r]=t,i=this._select_event(e,\"replace\",[this.model.vertex_renderer]),_=this.model.vertex_renderer.data_source,d=this.model.vertex_renderer.glyph,[n,l]=[d.x.field,d.y.field];if(i.length&&null!=this._selected_renderer){const e=_.selected.indices[0];this._drawing?(this._drawing=!1,_.selection_manager.clear()):(_.selected.indices=[e+1],n&&_.get_array(n).splice(e+1,0,s),l&&_.get_array(l).splice(e+1,0,r),this._drawing=!0),_.change.emit(),this._emit_cds_changes(this._selected_renderer.data_source)}else this._show_vertices(e)}_show_vertices(e){if(!this.model.active)return;const t=this.model.renderers[0],s=()=>this._update_vertices(t),r=null==t?void 0:t.data_source,i=this._select_event(e,\"replace\",this.model.renderers);if(!i.length)return this._set_vertices([],[]),this._selected_renderer=null,this._drawing=!1,this._cur_index=null,void(null!=r&&r.disconnect(r.properties.data.change,s));null!=r&&r.connect(r.properties.data.change,s),this._cur_index=i[0].data_source.selected.indices[0],this._update_vertices(i[0])}_update_vertices(e){const t=e.glyph,s=e.data_source,r=this._cur_index,[i,_]=[t.xs.field,t.ys.field];if(this._drawing)return;if(null==r&&(i||_))return;let d,l;i&&null!=r?(d=s.data[i][r],(0,n.isArray)(d)||(s.data[i][r]=d=Array.from(d))):d=t.xs.value,_&&null!=r?(l=s.data[_][r],(0,n.isArray)(l)||(s.data[_][r]=l=Array.from(l))):l=t.ys.value,this._selected_renderer=e,this._set_vertices(d,l)}_move(e){if(this._drawing&&null!=this._selected_renderer){const t=this.model.vertex_renderer,s=t.data_source,r=t.glyph,i=this._map_drag(e.sx,e.sy,t);if(null==i)return;let[_,d]=i;const n=s.selected.indices;[_,d]=this._snap_to_vertex(e,_,d),s.selected.indices=n;const[l,a]=[r.x.field,r.y.field],c=n[0];l&&(s.data[l][c]=_),a&&(s.data[a][c]=d),s.change.emit(),this._selected_renderer.data_source.change.emit()}}_tap(e){const t=this.model.vertex_renderer,s=this._map_drag(e.sx,e.sy,t);if(null==s)return;if(this._drawing&&this._selected_renderer){let[r,i]=s;const _=t.data_source,d=t.glyph,[n,l]=[d.x.field,d.y.field],a=_.selected.indices;[r,i]=this._snap_to_vertex(e,r,i);const c=a[0];if(_.selected.indices=[c+1],n){const e=_.get_array(n),t=e[c];e[c]=r,e.splice(c+1,0,t)}if(l){const e=_.get_array(l),t=e[c];e[c]=i,e.splice(c+1,0,t)}return _.change.emit(),void this._emit_cds_changes(this._selected_renderer.data_source,!0,!1,!0)}const r=this._select_mode(e);this._select_event(e,r,[t]),this._select_event(e,r,this.model.renderers)}_remove_vertex(){if(!this._drawing||!this._selected_renderer)return;const e=this.model.vertex_renderer,t=e.data_source,s=e.glyph,r=t.selected.indices[0],[i,_]=[s.x.field,s.y.field];i&&t.get_array(i).splice(r,1),_&&t.get_array(_).splice(r,1),t.change.emit(),this._emit_cds_changes(this._selected_renderer.data_source)}_pan_start(e){this._select_event(e,\"append\",[this.model.vertex_renderer]),this._basepoint=[e.sx,e.sy]}_pan(e){null!=this._basepoint&&(this._drag_points(e,[this.model.vertex_renderer]),this._selected_renderer&&this._selected_renderer.data_source.change.emit())}_pan_end(e){null!=this._basepoint&&(this._drag_points(e,[this.model.vertex_renderer]),this._emit_cds_changes(this.model.vertex_renderer.data_source,!1,!0,!0),this._selected_renderer&&this._emit_cds_changes(this._selected_renderer.data_source),this._basepoint=null)}_keyup(e){if(!this.model.active||!this._mouse_in_frame)return;let t;t=this._selected_renderer?[this.model.vertex_renderer]:this.model.renderers;for(const s of t)e.keyCode===d.Keys.Backspace?(this._delete_selected(s),this._selected_renderer&&this._emit_cds_changes(this._selected_renderer.data_source)):e.keyCode==d.Keys.Esc&&(this._drawing?(this._remove_vertex(),this._drawing=!1):this._selected_renderer&&this._hide_vertices(),s.data_source.selection_manager.clear())}deactivate(){this._selected_renderer&&(this._drawing&&(this._remove_vertex(),this._drawing=!1),this._hide_vertices())}}s.PolyEditToolView=c,c.__name__=\"PolyEditToolView\";class o extends l.PolyTool{constructor(e){super(e),this.tool_name=\"Poly Edit Tool\",this.icon=a.tool_icon_poly_edit,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=4}}s.PolyEditTool=o,_=o,o.__name__=\"PolyEditTool\",_.prototype.default_view=c},\n function _(e,t,o,s,i){var l;s();const n=e(378),_=e(116),c=e(20),r=e(228);class a extends n.SelectToolView{_compute_limits(e){const t=this.plot_view.frame,o=this.model.dimensions;let s=this._base_point;if(\"center\"==this.model.origin){const[t,o]=s,[i,l]=e;s=[t-(i-t),o-(l-o)]}return this.model._get_dim_limits(s,e,t,o)}_pan_start(e){const{sx:t,sy:o}=e;this._base_point=[t,o]}_pan(e){const{sx:t,sy:o}=e,s=[t,o],[i,l]=this._compute_limits(s);this.model.overlay.update({left:i[0],right:i[1],top:l[0],bottom:l[1]}),this.model.select_every_mousemove&&this._do_select(i,l,!1,this._select_mode(e))}_pan_end(e){const{sx:t,sy:o}=e,s=[t,o],[i,l]=this._compute_limits(s);this._do_select(i,l,!0,this._select_mode(e)),this.model.overlay.update({left:null,right:null,top:null,bottom:null}),this._base_point=null,this.plot_view.state.push(\"box_select\",{selection:this.plot_view.get_selection()})}_do_select([e,t],[o,s],i,l=\"replace\"){const n={type:\"rect\",sx0:e,sx1:t,sy0:o,sy1:s};this._select(n,i,l)}}o.BoxSelectToolView=a,a.__name__=\"BoxSelectToolView\";const h=()=>new _.BoxAnnotation({level:\"overlay\",top_units:\"screen\",left_units:\"screen\",bottom_units:\"screen\",right_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class m extends n.SelectTool{constructor(e){super(e),this.tool_name=\"Box Select\",this.icon=r.tool_icon_box_select,this.event_type=\"pan\",this.default_order=30}get tooltip(){return this._get_dim_tooltip(this.dimensions)}}o.BoxSelectTool=m,l=m,m.__name__=\"BoxSelectTool\",l.prototype.default_view=a,l.define((({Boolean:e,Ref:t})=>({dimensions:[c.Dimensions,\"both\"],select_every_mousemove:[e,!1],overlay:[t(_.BoxAnnotation),h],origin:[c.BoxOrigin,\"corner\"]}))),l.register_alias(\"box_select\",(()=>new m)),l.register_alias(\"xbox_select\",(()=>new m({dimensions:\"width\"}))),l.register_alias(\"ybox_select\",(()=>new m({dimensions:\"height\"})))},\n function _(e,t,s,n,r){var o;n();const c=e(223),i=e(175),a=e(339),l=e(176),d=e(66),_=e(20),h=e(43),p=e(251),u=e(15),m=e(11);class v extends c.GestureToolView{connect_signals(){super.connect_signals(),this.model.clear.connect((()=>this._clear()))}get computed_renderers(){const{renderers:e,names:t}=this.model,s=this.plot_model.data_renderers;return(0,d.compute_renderers)(e,s,t)}_computed_renderers_by_data_source(){var e;const t=new Map;for(const s of this.computed_renderers){let n;if(s instanceof i.GlyphRenderer)n=s.data_source;else{if(!(s instanceof a.GraphRenderer))continue;n=s.node_renderer.data_source}const r=null!==(e=t.get(n))&&void 0!==e?e:[];t.set(n,[...r,s])}return t}_select_mode(e){const{shiftKey:t,ctrlKey:s}=e;return t||s?t&&!s?\"append\":!t&&s?\"intersect\":t&&s?\"subtract\":void(0,m.unreachable)():this.model.mode}_keyup(e){e.keyCode==h.Keys.Esc&&this._clear()}_clear(){for(const e of this.computed_renderers)e.get_selection_manager().clear();const e=this.computed_renderers.map((e=>this.plot_view.renderer_view(e)));this.plot_view.request_paint(e)}_select(e,t,s){const n=this._computed_renderers_by_data_source();for(const[,r]of n){const n=r[0].get_selection_manager(),o=[];for(const e of r){const t=this.plot_view.renderer_view(e);null!=t&&o.push(t)}n.select(o,e,t,s)}null!=this.model.callback&&this._emit_callback(e),this._emit_selection_event(e,t)}_emit_selection_event(e,t=!0){const{x_scale:s,y_scale:n}=this.plot_view.frame;let r;switch(e.type){case\"point\":{const{sx:t,sy:o}=e,c=s.invert(t),i=n.invert(o);r=Object.assign(Object.assign({},e),{x:c,y:i});break}case\"span\":{const{sx:t,sy:o}=e,c=s.invert(t),i=n.invert(o);r=Object.assign(Object.assign({},e),{x:c,y:i});break}case\"rect\":{const{sx0:t,sx1:o,sy0:c,sy1:i}=e,[a,l]=s.r_invert(t,o),[d,_]=n.r_invert(c,i);r=Object.assign(Object.assign({},e),{x0:a,y0:d,x1:l,y1:_});break}case\"poly\":{const{sx:t,sy:o}=e,c=s.v_invert(t),i=n.v_invert(o);r=Object.assign(Object.assign({},e),{x:c,y:i});break}}this.plot_model.trigger_event(new p.SelectionGeometry(r,t))}}s.SelectToolView=v,v.__name__=\"SelectToolView\";class b extends c.GestureTool{constructor(e){super(e)}initialize(){super.initialize(),this.clear=new u.Signal0(this,\"clear\")}get menu(){return[{icon:\"bk-tool-icon-replace-mode\",tooltip:\"Replace the current selection\",active:()=>\"replace\"==this.mode,handler:()=>{this.mode=\"replace\",this.active=!0}},{icon:\"bk-tool-icon-append-mode\",tooltip:\"Append to the current selection (Shift)\",active:()=>\"append\"==this.mode,handler:()=>{this.mode=\"append\",this.active=!0}},{icon:\"bk-tool-icon-intersect-mode\",tooltip:\"Intersect with the current selection (Ctrl)\",active:()=>\"intersect\"==this.mode,handler:()=>{this.mode=\"intersect\",this.active=!0}},{icon:\"bk-tool-icon-subtract-mode\",tooltip:\"Subtract from the current selection (Shift+Ctrl)\",active:()=>\"subtract\"==this.mode,handler:()=>{this.mode=\"subtract\",this.active=!0}},null,{icon:\"bk-tool-icon-clear-selection\",tooltip:\"Clear the current selection (Esc)\",handler:()=>{this.clear.emit()}}]}}s.SelectTool=b,o=b,b.__name__=\"SelectTool\",o.define((({String:e,Array:t,Ref:s,Or:n,Auto:r})=>({renderers:[n(t(s(l.DataRenderer)),r),\"auto\"],names:[t(e),[]],mode:[_.SelectionMode,\"replace\"]})))},\n function _(t,o,e,s,i){var n;s();const _=t(223),a=t(116),l=t(20),r=t(228);class h extends _.GestureToolView{_match_aspect(t,o,e){const s=e.bbox.aspect,i=e.bbox.h_range.end,n=e.bbox.h_range.start,_=e.bbox.v_range.end,a=e.bbox.v_range.start;let l=Math.abs(t[0]-o[0]),r=Math.abs(t[1]-o[1]);const h=0==r?0:l/r,[c]=h>=s?[1,h/s]:[s/h,1];let m,p,d,b;return t[0]<=o[0]?(m=t[0],p=t[0]+l*c,p>i&&(p=i)):(p=t[0],m=t[0]-l*c,m_&&(d=_)):(d=t[1],b=t[1]-l/s,bnew a.BoxAnnotation({level:\"overlay\",top_units:\"screen\",left_units:\"screen\",bottom_units:\"screen\",right_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class m extends _.GestureTool{constructor(t){super(t),this.tool_name=\"Box Zoom\",this.icon=r.tool_icon_box_zoom,this.event_type=\"pan\",this.default_order=20}get tooltip(){return this._get_dim_tooltip(this.dimensions)}}e.BoxZoomTool=m,n=m,m.__name__=\"BoxZoomTool\",n.prototype.default_view=h,n.define((({Boolean:t,Ref:o})=>({dimensions:[l.Dimensions,\"both\"],overlay:[o(a.BoxAnnotation),c],match_aspect:[t,!1],origin:[l.BoxOrigin,\"corner\"]}))),n.register_alias(\"box_zoom\",(()=>new m({dimensions:\"both\"}))),n.register_alias(\"xbox_zoom\",(()=>new m({dimensions:\"width\"}))),n.register_alias(\"ybox_zoom\",(()=>new m({dimensions:\"height\"})))},\n function _(s,e,t,o,_){var l;o();const i=s(378),a=s(217),c=s(381),n=s(43),h=s(228);class r extends i.SelectToolView{constructor(){super(...arguments),this.sxs=[],this.sys=[]}connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,(()=>this._active_change()))}_active_change(){this.model.active||this._clear_overlay()}_keyup(s){s.keyCode==n.Keys.Enter&&this._clear_overlay()}_pan_start(s){this.sxs=[],this.sys=[];const{sx:e,sy:t}=s;this._append_overlay(e,t)}_pan(s){const[e,t]=this.plot_view.frame.bbox.clip(s.sx,s.sy);this._append_overlay(e,t),this.model.select_every_mousemove&&this._do_select(this.sxs,this.sys,!1,this._select_mode(s))}_pan_end(s){const{sxs:e,sys:t}=this;this._clear_overlay(),this._do_select(e,t,!0,this._select_mode(s)),this.plot_view.state.push(\"lasso_select\",{selection:this.plot_view.get_selection()})}_append_overlay(s,e){const{sxs:t,sys:o}=this;t.push(s),o.push(e),this.model.overlay.update({xs:t,ys:o})}_clear_overlay(){this.sxs=[],this.sys=[],this.model.overlay.update({xs:this.sxs,ys:this.sys})}_do_select(s,e,t,o){const _={type:\"poly\",sx:s,sy:e};this._select(_,t,o)}}t.LassoSelectToolView=r,r.__name__=\"LassoSelectToolView\";class y extends i.SelectTool{constructor(s){super(s),this.tool_name=\"Lasso Select\",this.icon=h.tool_icon_lasso_select,this.event_type=\"pan\",this.default_order=12}}t.LassoSelectTool=y,l=y,y.__name__=\"LassoSelectTool\",l.prototype.default_view=r,l.define((({Boolean:s,Ref:e})=>({select_every_mousemove:[s,!0],overlay:[e(a.PolyAnnotation),c.DEFAULT_POLY_OVERLAY]}))),l.register_alias(\"lasso_select\",(()=>new y))},\n function _(e,t,s,l,o){var i;l();const a=e(378),_=e(217),c=e(43),n=e(9),h=e(228);class y extends a.SelectToolView{initialize(){super.initialize(),this.data={sx:[],sy:[]}}connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,(()=>this._active_change()))}_active_change(){this.model.active||this._clear_data()}_keyup(e){e.keyCode==c.Keys.Enter&&this._clear_data()}_doubletap(e){this._do_select(this.data.sx,this.data.sy,!0,this._select_mode(e)),this.plot_view.state.push(\"poly_select\",{selection:this.plot_view.get_selection()}),this._clear_data()}_clear_data(){this.data={sx:[],sy:[]},this.model.overlay.update({xs:[],ys:[]})}_tap(e){const{sx:t,sy:s}=e;this.plot_view.frame.bbox.contains(t,s)&&(this.data.sx.push(t),this.data.sy.push(s),this.model.overlay.update({xs:(0,n.copy)(this.data.sx),ys:(0,n.copy)(this.data.sy)}))}_do_select(e,t,s,l){const o={type:\"poly\",sx:e,sy:t};this._select(o,s,l)}}s.PolySelectToolView=y,y.__name__=\"PolySelectToolView\";s.DEFAULT_POLY_OVERLAY=()=>new _.PolyAnnotation({level:\"overlay\",xs_units:\"screen\",ys_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class d extends a.SelectTool{constructor(e){super(e),this.tool_name=\"Poly Select\",this.icon=h.tool_icon_polygon_select,this.event_type=\"tap\",this.default_order=11}}s.PolySelectTool=d,i=d,d.__name__=\"PolySelectTool\",i.prototype.default_view=y,i.define((({Ref:e})=>({overlay:[e(_.PolyAnnotation),s.DEFAULT_POLY_OVERLAY]}))),i.register_alias(\"poly_select\",(()=>new d))},\n function _(e,t,s,i,r){var n;i();const _=e(20),d=e(383),o=e(228);class l extends d.LineToolView{constructor(){super(...arguments),this._drawing=!1}_doubletap(e){if(!this.model.active)return;const t=this.model.renderers;for(const s of t){1==this._select_event(e,\"replace\",[s]).length&&(this._selected_renderer=s)}this._show_intersections(),this._update_line_cds()}_show_intersections(){if(!this.model.active)return;if(null==this._selected_renderer)return;if(!this.model.renderers.length)return this._set_intersection([],[]),this._selected_renderer=null,void(this._drawing=!1);const e=this._selected_renderer.data_source,t=this._selected_renderer.glyph,[s,i]=[t.x.field,t.y.field],r=e.get_array(s),n=e.get_array(i);this._set_intersection(r,n)}_tap(e){const t=this.model.intersection_renderer;if(null==this._map_drag(e.sx,e.sy,t))return;if(this._drawing&&this._selected_renderer){const s=this._select_mode(e);if(0==this._select_event(e,s,[t]).length)return}const s=this._select_mode(e);this._select_event(e,s,[t]),this._select_event(e,s,this.model.renderers)}_update_line_cds(){if(null==this._selected_renderer)return;const e=this.model.intersection_renderer.glyph,t=this.model.intersection_renderer.data_source,[s,i]=[e.x.field,e.y.field];if(s&&i){const e=t.data[s],r=t.data[i];this._selected_renderer.data_source.data[s]=e,this._selected_renderer.data_source.data[i]=r}this._emit_cds_changes(this._selected_renderer.data_source,!0,!0,!1)}_pan_start(e){this._select_event(e,\"append\",[this.model.intersection_renderer]),this._basepoint=[e.sx,e.sy]}_pan(e){null!=this._basepoint&&(this._drag_points(e,[this.model.intersection_renderer],this.model.dimensions),this._selected_renderer&&this._selected_renderer.data_source.change.emit())}_pan_end(e){null!=this._basepoint&&(this._drag_points(e,[this.model.intersection_renderer]),this._emit_cds_changes(this.model.intersection_renderer.data_source,!1,!0,!0),this._selected_renderer&&this._emit_cds_changes(this._selected_renderer.data_source),this._basepoint=null)}activate(){this._drawing=!0}deactivate(){this._selected_renderer&&(this._drawing&&(this._drawing=!1),this._hide_intersections())}}s.LineEditToolView=l,l.__name__=\"LineEditToolView\";class h extends d.LineTool{constructor(e){super(e),this.tool_name=\"Line Edit Tool\",this.icon=o.tool_icon_line_edit,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=4}get tooltip(){return this._get_dim_tooltip(this.dimensions)}}s.LineEditTool=h,n=h,h.__name__=\"LineEditTool\",n.prototype.default_view=l,n.define((()=>({dimensions:[_.Dimensions,\"both\"]})))},\n function _(e,i,n,t,s){var o;t();const r=e(8),_=e(370);class d extends _.EditToolView{_set_intersection(e,i){const n=this.model.intersection_renderer.glyph,t=this.model.intersection_renderer.data_source,[s,o]=[n.x.field,n.y.field];s&&((0,r.isArray)(e)?t.data[s]=e:n.x={value:e}),o&&((0,r.isArray)(i)?t.data[o]=i:n.y={value:i}),this._emit_cds_changes(t,!0,!0,!1)}_hide_intersections(){this._set_intersection([],[])}}n.LineToolView=d,d.__name__=\"LineToolView\";class a extends _.EditTool{constructor(e){super(e)}}n.LineTool=a,o=a,a.__name__=\"LineTool\",o.define((({AnyRef:e})=>({intersection_renderer:[e()]})))},\n function _(t,s,n,e,i){e();const o=t(1);var a;const _=t(223),l=t(20),r=(0,o.__importStar)(t(228));function h(t,s,n){const e=new Map;for(const[i,o]of t){const[t,a]=o.r_invert(s,n);e.set(i,{start:t,end:a})}return e}n.update_ranges=h;class d extends _.GestureToolView{_pan_start(t){var s;this.last_dx=0,this.last_dy=0;const{sx:n,sy:e}=t,i=this.plot_view.frame.bbox;if(!i.contains(n,e)){const t=i.h_range,s=i.v_range;(nt.end)&&(this.v_axis_only=!0),(es.end)&&(this.h_axis_only=!0)}null===(s=this.model.document)||void 0===s||s.interactive_start(this.plot_model)}_pan(t){var s;this._update(t.deltaX,t.deltaY),null===(s=this.model.document)||void 0===s||s.interactive_start(this.plot_model)}_pan_end(t){this.h_axis_only=!1,this.v_axis_only=!1,null!=this.pan_info&&this.plot_view.state.push(\"pan\",{range:this.pan_info}),this.plot_view.trigger_ranges_update_event()}_update(t,s){const n=this.plot_view.frame,e=t-this.last_dx,i=s-this.last_dy,o=n.bbox.h_range,a=o.start-e,_=o.end-e,l=n.bbox.v_range,r=l.start-i,d=l.end-i,p=this.model.dimensions;let c,u,m,v,x,g;\"width\"!=p&&\"both\"!=p||this.v_axis_only?(c=o.start,u=o.end,m=0):(c=a,u=_,m=-e),\"height\"!=p&&\"both\"!=p||this.h_axis_only?(v=l.start,x=l.end,g=0):(v=r,x=d,g=-i),this.last_dx=t,this.last_dy=s;const{x_scales:w,y_scales:y}=n,f=h(w,c,u),b=h(y,v,x);this.pan_info={xrs:f,yrs:b,sdx:m,sdy:g},this.plot_view.update_range(this.pan_info,{panning:!0})}}n.PanToolView=d,d.__name__=\"PanToolView\";class p extends _.GestureTool{constructor(t){super(t),this.tool_name=\"Pan\",this.event_type=\"pan\",this.default_order=10}get tooltip(){return this._get_dim_tooltip(this.dimensions)}}n.PanTool=p,a=p,p.__name__=\"PanTool\",a.prototype.default_view=d,a.define((()=>({dimensions:[l.Dimensions,\"both\",{on_update(t,s){switch(t){case\"both\":s.icon=r.tool_icon_pan;break;case\"width\":s.icon=r.tool_icon_xpan;break;case\"height\":s.icon=r.tool_icon_ypan}}}]}))),a.register_alias(\"pan\",(()=>new p({dimensions:\"both\"}))),a.register_alias(\"xpan\",(()=>new p({dimensions:\"width\"}))),a.register_alias(\"ypan\",(()=>new p({dimensions:\"height\"})))},\n function _(e,t,i,s,n){var l;s();const a=e(116),r=e(58),o=e(19),_=e(223),h=e(228);function d(e){switch(e){case 1:return 2;case 2:return 1;case 4:return 5;case 5:return 4;default:return e}}function u(e,t,i,s){if(null==t)return!1;const n=i.compute(t);return Math.abs(e-n)n.right)&&(l=!1)}if(null!=n.bottom&&null!=n.top){const e=s.invert(t);(en.top)&&(l=!1)}return l}function g(e,t,i){let s=0;return e>=i.start&&e<=i.end&&(s+=1),t>=i.start&&t<=i.end&&(s+=1),s}function y(e,t,i,s){const n=t.compute(e),l=t.invert(n+i);return l>=s.start&&l<=s.end?l:e}function f(e,t,i){return e>t.start?(t.end=e,i):(t.end=t.start,t.start=e,d(i))}function v(e,t,i){return e=o&&(e.start=a,e.end=r)}i.flip_side=d,i.is_near=u,i.is_inside=c,i.sides_inside=g,i.compute_value=y,i.update_range_end_side=f,i.update_range_start_side=v,i.update_range=m;class p extends _.GestureToolView{initialize(){super.initialize(),this.side=0,this.model.update_overlay_from_ranges()}connect_signals(){super.connect_signals(),null!=this.model.x_range&&this.connect(this.model.x_range.change,(()=>this.model.update_overlay_from_ranges())),null!=this.model.y_range&&this.connect(this.model.y_range.change,(()=>this.model.update_overlay_from_ranges()))}_pan_start(e){this.last_dx=0,this.last_dy=0;const t=this.model.x_range,i=this.model.y_range,{frame:s}=this.plot_view,n=s.x_scale,l=s.y_scale,r=this.model.overlay,{left:o,right:_,top:h,bottom:d}=r,g=this.model.overlay.line_width+a.EDGE_TOLERANCE;null!=t&&this.model.x_interaction&&(u(e.sx,o,n,g)?this.side=1:u(e.sx,_,n,g)?this.side=2:c(e.sx,e.sy,n,l,r)&&(this.side=3)),null!=i&&this.model.y_interaction&&(0==this.side&&u(e.sy,d,l,g)&&(this.side=4),0==this.side&&u(e.sy,h,l,g)?this.side=5:c(e.sx,e.sy,n,l,this.model.overlay)&&(3==this.side?this.side=7:this.side=6))}_pan(e){const t=this.plot_view.frame,i=e.deltaX-this.last_dx,s=e.deltaY-this.last_dy,n=this.model.x_range,l=this.model.y_range,a=t.x_scale,r=t.y_scale;if(null!=n)if(3==this.side||7==this.side)m(n,a,i,t.x_range);else if(1==this.side){const e=y(n.start,a,i,t.x_range);this.side=v(e,n,this.side)}else if(2==this.side){const e=y(n.end,a,i,t.x_range);this.side=f(e,n,this.side)}if(null!=l)if(6==this.side||7==this.side)m(l,r,s,t.y_range);else if(4==this.side){const e=y(l.start,r,s,t.y_range);this.side=v(e,l,this.side)}else if(5==this.side){const e=y(l.end,r,s,t.y_range);this.side=f(e,l,this.side)}this.last_dx=e.deltaX,this.last_dy=e.deltaY}_pan_end(e){this.side=0,this.plot_view.trigger_ranges_update_event()}}i.RangeToolView=p,p.__name__=\"RangeToolView\";const x=()=>new a.BoxAnnotation({level:\"overlay\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:.5,line_dash:[2,2]});class w extends _.GestureTool{constructor(e){super(e),this.tool_name=\"Range Tool\",this.icon=h.tool_icon_range,this.event_type=\"pan\",this.default_order=1}initialize(){super.initialize(),this.overlay.in_cursor=\"grab\",this.overlay.ew_cursor=null!=this.x_range&&this.x_interaction?\"ew-resize\":null,this.overlay.ns_cursor=null!=this.y_range&&this.y_interaction?\"ns-resize\":null}update_overlay_from_ranges(){null==this.x_range&&null==this.y_range&&(this.overlay.left=null,this.overlay.right=null,this.overlay.bottom=null,this.overlay.top=null,o.logger.warn(\"RangeTool not configured with any Ranges.\")),null==this.x_range?(this.overlay.left=null,this.overlay.right=null):(this.overlay.left=this.x_range.start,this.overlay.right=this.x_range.end),null==this.y_range?(this.overlay.bottom=null,this.overlay.top=null):(this.overlay.bottom=this.y_range.start,this.overlay.top=this.y_range.end)}}i.RangeTool=w,l=w,w.__name__=\"RangeTool\",l.prototype.default_view=p,l.define((({Boolean:e,Ref:t,Nullable:i})=>({x_range:[i(t(r.Range1d)),null],x_interaction:[e,!0],y_range:[i(t(r.Range1d)),null],y_interaction:[e,!0],overlay:[t(a.BoxAnnotation),x]})))},\n function _(e,t,s,o,i){var l;o();const a=e(378),n=e(20),c=e(228);class _ extends a.SelectToolView{_tap(e){\"tap\"==this.model.gesture&&this._handle_tap(e)}_doubletap(e){\"doubletap\"==this.model.gesture&&this._handle_tap(e)}_handle_tap(e){const{sx:t,sy:s}=e,o={type:\"point\",sx:t,sy:s};this._select(o,!0,this._select_mode(e))}_select(e,t,s){const{callback:o}=this.model;if(\"select\"==this.model.behavior){const i=this._computed_renderers_by_data_source();for(const[,l]of i){const i=l[0].get_selection_manager(),a=l.map((e=>this.plot_view.renderer_view(e))).filter((e=>null!=e));if(i.select(a,e,t,s)&&null!=o){const t=a[0].coordinates.x_scale.invert(e.sx),s=a[0].coordinates.y_scale.invert(e.sy),l={geometries:Object.assign(Object.assign({},e),{x:t,y:s}),source:i.source};o.execute(this.model,l)}}this._emit_selection_event(e),this.plot_view.state.push(\"tap\",{selection:this.plot_view.get_selection()})}else for(const t of this.computed_renderers){const s=this.plot_view.renderer_view(t);if(null==s)continue;const i=t.get_selection_manager();if(i.inspect(s,e)&&null!=o){const t=s.coordinates.x_scale.invert(e.sx),l=s.coordinates.y_scale.invert(e.sy),a={geometries:Object.assign(Object.assign({},e),{x:t,y:l}),source:i.source};o.execute(this.model,a)}}}}s.TapToolView=_,_.__name__=\"TapToolView\";class r extends a.SelectTool{constructor(e){super(e),this.tool_name=\"Tap\",this.icon=c.tool_icon_tap_select,this.event_type=\"tap\",this.default_order=10}}s.TapTool=r,l=r,r.__name__=\"TapTool\",l.prototype.default_view=_,l.define((({Any:e,Enum:t,Nullable:s})=>({behavior:[n.TapBehavior,\"select\"],gesture:[t(\"tap\",\"doubletap\"),\"tap\"],callback:[s(e)]}))),l.register_alias(\"click\",(()=>new r({behavior:\"inspect\"}))),l.register_alias(\"tap\",(()=>new r)),l.register_alias(\"doubletap\",(()=>new r({gesture:\"doubletap\"})))},\n function _(e,t,s,n,i){var a;n();const o=e(223),l=e(20),_=e(228),r=e(384);class h extends o.GestureToolView{_scroll(e){let t=this.model.speed*e.delta;t>.9?t=.9:t<-.9&&(t=-.9),this._update_ranges(t)}_update_ranges(e){var t;const{frame:s}=this.plot_view,n=s.bbox.h_range,i=s.bbox.v_range,[a,o]=[n.start,n.end],[l,_]=[i.start,i.end];let h,d,p,c;switch(this.model.dimension){case\"height\":{const t=Math.abs(_-l);h=a,d=o,p=l-t*e,c=_-t*e;break}case\"width\":{const t=Math.abs(o-a);h=a-t*e,d=o-t*e,p=l,c=_;break}}const{x_scales:g,y_scales:u}=s,w={xrs:(0,r.update_ranges)(g,h,d),yrs:(0,r.update_ranges)(u,p,c),factor:e};this.plot_view.state.push(\"wheel_pan\",{range:w}),this.plot_view.update_range(w,{scrolling:!0}),null===(t=this.model.document)||void 0===t||t.interactive_start(this.plot_model,(()=>this.plot_view.trigger_ranges_update_event()))}}s.WheelPanToolView=h,h.__name__=\"WheelPanToolView\";class d extends o.GestureTool{constructor(e){super(e),this.tool_name=\"Wheel Pan\",this.icon=_.tool_icon_wheel_pan,this.event_type=\"scroll\",this.default_order=12}get tooltip(){return this._get_dim_tooltip(this.dimension)}}s.WheelPanTool=d,a=d,d.__name__=\"WheelPanTool\",a.prototype.default_view=h,a.define((()=>({dimension:[l.Dimension,\"width\"]}))),a.internal((({Number:e})=>({speed:[e,.001]}))),a.register_alias(\"xwheel_pan\",(()=>new d({dimension:\"width\"}))),a.register_alias(\"ywheel_pan\",(()=>new d({dimension:\"height\"})))},\n function _(e,o,t,s,i){var n;s();const l=e(223),_=e(368),h=e(20),a=e(27),r=e(228);class m extends l.GestureToolView{_pinch(e){const{sx:o,sy:t,scale:s,ctrlKey:i,shiftKey:n}=e;let l;l=s>=1?20*(s-1):-20/s,this._scroll({type:\"wheel\",sx:o,sy:t,delta:l,ctrlKey:i,shiftKey:n})}_scroll(e){var o;const{frame:t}=this.plot_view,s=t.bbox.h_range,i=t.bbox.v_range,{sx:n,sy:l}=e,h=this.model.dimensions,a=(\"width\"==h||\"both\"==h)&&s.startthis.plot_view.trigger_ranges_update_event()))}}t.WheelZoomToolView=m,m.__name__=\"WheelZoomToolView\";class d extends l.GestureTool{constructor(e){super(e),this.tool_name=\"Wheel Zoom\",this.icon=r.tool_icon_wheel_zoom,this.event_type=a.is_mobile?\"pinch\":\"scroll\",this.default_order=10}get tooltip(){return this._get_dim_tooltip(this.dimensions)}}t.WheelZoomTool=d,n=d,d.__name__=\"WheelZoomTool\",n.prototype.default_view=m,n.define((({Boolean:e,Number:o})=>({dimensions:[h.Dimensions,\"both\"],maintain_focus:[e,!0],zoom_on_axis:[e,!0],speed:[o,1/600]}))),n.register_alias(\"wheel_zoom\",(()=>new d({dimensions:\"both\"}))),n.register_alias(\"xwheel_zoom\",(()=>new d({dimensions:\"width\"}))),n.register_alias(\"ywheel_zoom\",(()=>new d({dimensions:\"height\"})))},\n function _(i,e,s,t,o){var n;t();const l=i(232),a=i(219),h=i(20),r=i(13),_=i(228);class c extends l.InspectToolView{_move(i){if(!this.model.active)return;const{sx:e,sy:s}=i;this.plot_view.frame.bbox.contains(e,s)?this._update_spans(e,s):this._update_spans(null,null)}_move_exit(i){this._update_spans(null,null)}_update_spans(i,e){const s=this.model.dimensions;\"width\"!=s&&\"both\"!=s||(this.model.spans.width.location=e),\"height\"!=s&&\"both\"!=s||(this.model.spans.height.location=i)}}s.CrosshairToolView=c,c.__name__=\"CrosshairToolView\";class p extends l.InspectTool{constructor(i){super(i),this.tool_name=\"Crosshair\",this.icon=_.tool_icon_crosshair}get tooltip(){return this._get_dim_tooltip(this.dimensions)}get synthetic_renderers(){return(0,r.values)(this.spans)}}s.CrosshairTool=p,n=p,p.__name__=\"CrosshairTool\",(()=>{function i(i,e){return new a.Span({for_hover:!0,dimension:e,location_units:\"screen\",level:\"overlay\",line_color:i.line_color,line_width:i.line_width,line_alpha:i.line_alpha})}n.prototype.default_view=c,n.define((({Alpha:i,Number:e,Color:s})=>({dimensions:[h.Dimensions,\"both\"],line_color:[s,\"black\"],line_width:[e,1],line_alpha:[i,1]}))),n.internal((({Struct:e,Ref:s})=>({spans:[e({width:s(a.Span),height:s(a.Span)}),e=>({width:i(e,\"width\"),height:i(e,\"height\")})]}))),n.register_alias(\"crosshair\",(()=>new p))})()},\n function _(e,s,t,r,n){var o;r();const a=e(53),u=e(13),c=e(34);class i extends a.Model{constructor(e){super(e)}get values(){return(0,u.values)(this.args)}_make_code(e,s,t,r){return new Function(...(0,u.keys)(this.args),e,s,t,(0,c.use_strict)(r))}format(e,s,t){return this._make_code(\"value\",\"format\",\"special_vars\",this.code)(...this.values,e,s,t)}}t.CustomJSHover=i,o=i,i.__name__=\"CustomJSHover\",o.define((({Unknown:e,String:s,Dict:t})=>({args:[t(e),{}],code:[s,\"\"]})))},\n function _(e,t,n,s,i){s();const o=e(1);var r;const l=e(232),a=e(390),c=e(241),_=e(175),d=e(339),p=e(176),h=e(177),u=e(283),m=e(186),y=e(187),f=e(189),x=(0,o.__importStar)(e(185)),v=e(152),w=e(43),g=e(22),b=e(13),k=e(234),C=e(8),S=e(113),T=e(20),$=e(228),R=e(15),A=e(66),M=(0,o.__importStar)(e(242)),V=e(392);function G(e,t,n,s,i,o){const r={x:i[e],y:o[e]},l={x:i[e+1],y:o[e+1]};let a,c;if(\"span\"==t.type)\"h\"==t.direction?(a=Math.abs(r.x-n),c=Math.abs(l.x-n)):(a=Math.abs(r.y-s),c=Math.abs(l.y-s));else{const e={x:n,y:s};a=x.dist_2_pts(r,e),c=x.dist_2_pts(l,e)}return adelete this._template_el)),this.on_change([e,t,n],(async()=>await this._update_ttmodels()))}async _update_ttmodels(){const{_ttmodels:e,computed_renderers:t}=this;e.clear();const{tooltips:n}=this.model;if(null!=n)for(const t of this.computed_renderers){const s=new c.Tooltip({custom:(0,C.isString)(n)||(0,C.isFunction)(n),attachment:this.model.attachment,show_arrow:this.model.show_arrow});t instanceof _.GlyphRenderer?e.set(t,s):t instanceof d.GraphRenderer&&(e.set(t.node_renderer,s),e.set(t.edge_renderer,s))}const s=await(0,S.build_views)(this._ttviews,[...e.values()],{parent:this.plot_view});for(const e of s)e.render();const i=[...function*(){for(const e of t)e instanceof _.GlyphRenderer?yield e:e instanceof d.GraphRenderer&&(yield e.node_renderer,yield e.edge_renderer)}()],o=this._slots.get(this._update);if(null!=o){const e=new Set(i.map((e=>e.data_source)));R.Signal.disconnect_receiver(this,o,e)}for(const e of i)this.connect(e.data_source.inspect,this._update)}get computed_renderers(){const{renderers:e,names:t}=this.model,n=this.plot_model.data_renderers;return(0,A.compute_renderers)(e,n,t)}get ttmodels(){return this._ttmodels}_clear(){this._inspect(1/0,1/0);for(const[,e]of this.ttmodels)e.clear()}_move(e){if(!this.model.active)return;const{sx:t,sy:n}=e;this.plot_view.frame.bbox.contains(t,n)?this._inspect(t,n):this._clear()}_move_exit(){this._clear()}_inspect(e,t){let n;if(\"mouse\"==this.model.mode)n={type:\"point\",sx:e,sy:t};else{n={type:\"span\",direction:\"vline\"==this.model.mode?\"h\":\"v\",sx:e,sy:t}}for(const e of this.computed_renderers){const t=e.get_selection_manager(),s=this.plot_view.renderer_view(e);null!=s&&t.inspect(s,n)}this._emit_callback(n)}_update([e,{geometry:t}]){var n,s;if(!this.model.active)return;if(\"point\"!=t.type&&\"span\"!=t.type)return;if(!(e instanceof _.GlyphRenderer))return;if(\"ignore\"==this.model.muted_policy&&e.muted)return;const i=this.ttmodels.get(e);if(null==i)return;const o=e.get_selection_manager(),r=o.inspectors.get(e),l=e.view.convert_selection_to_subset(r);if(r.is_empty()&&null==r.view)return void i.clear();const a=o.source,c=this.plot_view.renderer_view(e);if(null==c)return;const{sx:d,sy:p}=t,x=c.coordinates.x_scale,v=c.coordinates.y_scale,g=x.invert(d),k=v.invert(p),{glyph:C}=c,S=[];if(C instanceof m.PatchView){const[t,n]=[d,p],s={x:g,y:k,sx:d,sy:p,rx:t,ry:n,name:e.name};S.push([t,n,this._render_tooltips(a,-1,s)])}if(C instanceof y.HAreaView)for(const t of l.line_indices){const n=C._x1,s=C._x2,i=C._y,[o,r]=[d,p],c={index:t,x:g,y:k,sx:d,sy:p,data_x1:n,data_x2:s,data_y:i,rx:o,ry:r,indices:l.line_indices,name:e.name};S.push([o,r,this._render_tooltips(a,t,c)])}if(C instanceof f.VAreaView)for(const t of l.line_indices){const n=C._x,s=C._y1,i=C._y2,[o,r]=[d,p],c={index:t,x:g,y:k,sx:d,sy:p,data_x:n,data_y1:s,data_y2:i,rx:o,ry:r,indices:l.line_indices,name:e.name};S.push([o,r,this._render_tooltips(a,t,c)])}if(C instanceof h.LineView)for(const n of l.line_indices){let s,i,o=C._x[n+1],r=C._y[n+1],c=n;switch(this.model.line_policy){case\"interp\":[o,r]=C.get_interpolation_hit(n,t),s=x.compute(o),i=v.compute(r);break;case\"prev\":[[s,i],c]=H(C.sx,C.sy,n);break;case\"next\":[[s,i],c]=H(C.sx,C.sy,n+1);break;case\"nearest\":[[s,i],c]=G(n,t,d,p,C.sx,C.sy),o=C._x[c],r=C._y[c];break;default:[s,i]=[d,p]}const _={index:c,x:g,y:k,sx:d,sy:p,data_x:o,data_y:r,rx:s,ry:i,indices:l.line_indices,name:e.name};S.push([s,i,this._render_tooltips(a,c,_)])}for(const t of r.image_indices){const n={index:t.index,x:g,y:k,sx:d,sy:p,name:e.name},s=this._render_tooltips(a,t,n);S.push([d,p,s])}for(const i of l.indices)if(C instanceof u.MultiLineView&&!(0,b.isEmpty)(l.multiline_indices))for(const n of l.multiline_indices[i.toString()]){let s,o,r,c=C._xs.get(i)[n],h=C._ys.get(i)[n],u=n;switch(this.model.line_policy){case\"interp\":[c,h]=C.get_interpolation_hit(i,n,t),s=x.compute(c),o=v.compute(h);break;case\"prev\":[[s,o],u]=H(C.sxs.get(i),C.sys.get(i),n);break;case\"next\":[[s,o],u]=H(C.sxs.get(i),C.sys.get(i),n+1);break;case\"nearest\":[[s,o],u]=G(n,t,d,p,C.sxs.get(i),C.sys.get(i)),c=C._xs.get(i)[u],h=C._ys.get(i)[u];break;default:throw new Error(\"shouldn't have happened\")}r=e instanceof _.GlyphRenderer?e.view.convert_indices_from_subset([i])[0]:i;const m={index:r,x:g,y:k,sx:d,sy:p,data_x:c,data_y:h,segment_index:u,indices:l.multiline_indices,name:e.name};S.push([s,o,this._render_tooltips(a,r,m)])}else{const t=null===(n=C._x)||void 0===n?void 0:n[i],o=null===(s=C._y)||void 0===s?void 0:s[i];let r,c,h;if(\"snap_to_data\"==this.model.point_policy){let e=C.get_anchor_point(this.model.anchor,i,[d,p]);if(null==e&&(e=C.get_anchor_point(\"center\",i,[d,p]),null==e))continue;r=e.x,c=e.y}else[r,c]=[d,p];h=e instanceof _.GlyphRenderer?e.view.convert_indices_from_subset([i])[0]:i;const u={index:h,x:g,y:k,sx:d,sy:p,data_x:t,data_y:o,indices:l.indices,name:e.name};S.push([r,c,this._render_tooltips(a,h,u)])}if(0==S.length)i.clear();else{const{content:e}=i;(0,w.empty)(i.content);for(const[,,t]of S)null!=t&&e.appendChild(t);const[t,n]=S[S.length-1];i.setv({position:[t,n]},{check_eq:!1})}}_emit_callback(e){const{callback:t}=this.model;if(null!=t)for(const n of this.computed_renderers){if(!(n instanceof _.GlyphRenderer))continue;const s=this.plot_view.renderer_view(n);if(null==s)continue;const{x_scale:i,y_scale:o}=s.coordinates,r=i.invert(e.sx),l=o.invert(e.sy),a=n.data_source.inspected;t.execute(this.model,{geometry:Object.assign({x:r,y:l},e),renderer:n,index:a})}}_create_template(e){const t=(0,w.div)({style:{display:\"table\",borderSpacing:\"2px\"}});for(const[n]of e){const e=(0,w.div)({style:{display:\"table-row\"}});t.appendChild(e);const s=(0,w.div)({style:{display:\"table-cell\"},class:M.tooltip_row_label},0!=n.length?`${n}: `:\"\");e.appendChild(s);const i=(0,w.span)();i.dataset.value=\"\";const o=(0,w.span)({class:M.tooltip_color_block},\" \");o.dataset.swatch=\"\",(0,w.undisplay)(o);const r=(0,w.div)({style:{display:\"table-cell\"},class:M.tooltip_row_value},i,o);e.appendChild(r)}return t}_render_template(e,t,n,s,i){const o=e.cloneNode(!0),r=o.querySelectorAll(\"[data-value]\"),l=o.querySelectorAll(\"[data-swatch]\"),a=/\\$color(\\[.*\\])?:(\\w*)/,c=/\\$swatch:(\\w*)/;for(const[[,e],o]of(0,k.enumerate)(t)){const t=e.match(c),_=e.match(a);if(null!=t||null!=_){if(null!=t){const[,e]=t,i=n.get_column(e);if(null==i)r[o].textContent=`${e} unknown`;else{const e=(0,C.isNumber)(s)?i[s]:null;null!=e&&(l[o].style.backgroundColor=(0,g.color2css)(e),(0,w.display)(l[o]))}}if(null!=_){const[,e=\"\",t]=_,i=n.get_column(t);if(null==i){r[o].textContent=`${t} unknown`;continue}const a=e.indexOf(\"hex\")>=0,c=e.indexOf(\"swatch\")>=0,d=(0,C.isNumber)(s)?i[s]:null;if(null==d){r[o].textContent=\"(null)\";continue}r[o].textContent=a?(0,g.color2hex)(d):(0,g.color2css)(d),c&&(l[o].style.backgroundColor=(0,g.color2css)(d),(0,w.display)(l[o]))}}else{const t=(0,v.replace_placeholders)(e.replace(\"$~\",\"$data_\"),n,s,this.model.formatters,i);if((0,C.isString)(t))r[o].textContent=t;else for(const e of t)r[o].appendChild(e)}}return o}_render_tooltips(e,t,n){var s;const{tooltips:i}=this.model;if((0,C.isString)(i)){const s=(0,v.replace_placeholders)({html:i},e,t,this.model.formatters,n);return(0,w.div)(s)}if((0,C.isFunction)(i))return i(e,n);if(i instanceof V.Template)return this._template_view.update(e,t,n),this._template_view.el;if(null!=i){const o=null!==(s=this._template_el)&&void 0!==s?s:this._template_el=this._create_template(i);return this._render_template(o,i,e,t,n)}return null}}n.HoverToolView=z,z.__name__=\"HoverToolView\";class P extends l.InspectTool{constructor(e){super(e),this.tool_name=\"Hover\",this.icon=$.tool_icon_hover}}n.HoverTool=P,r=P,P.__name__=\"HoverTool\",r.prototype.default_view=z,r.define((({Any:e,Boolean:t,String:n,Array:s,Tuple:i,Dict:o,Or:r,Ref:l,Function:c,Auto:_,Nullable:d})=>({tooltips:[d(r(l(V.Template),n,s(i(n,n)),c())),[[\"index\",\"$index\"],[\"data (x, y)\",\"($x, $y)\"],[\"screen (x, y)\",\"($sx, $sy)\"]]],formatters:[o(r(l(a.CustomJSHover),v.FormatterType)),{}],renderers:[r(s(l(p.DataRenderer)),_),\"auto\"],names:[s(n),[]],mode:[T.HoverMode,\"mouse\"],muted_policy:[T.MutedPolicy,\"show\"],point_policy:[T.PointPolicy,\"snap_to_data\"],line_policy:[T.LinePolicy,\"nearest\"],show_arrow:[t,!0],anchor:[T.Anchor,\"center\"],attachment:[T.TooltipAttachment,\"horizontal\"],callback:[d(e)]}))),r.register_alias(\"hover\",(()=>new P))},\n function _(e,t,s,n,a){n();const l=e(1);var i,_,o,r,c,d,p,u,m,w,f,h,x;const v=e(53),y=e(309),V=e(393);a(\"Styles\",V.Styles);const g=e(43),T=e(42),b=e(226),R=e(113),D=e(8),M=e(13),S=(0,l.__importStar)(e(242)),O=e(152);class C extends b.DOMView{}s.DOMNodeView=C,C.__name__=\"DOMNodeView\";class z extends v.Model{constructor(e){super(e)}}s.DOMNode=z,z.__name__=\"DOMNode\",z.__module__=\"bokeh.models.dom\";class P extends C{render(){super.render(),this.el.textContent=this.model.content}_createElement(){return document.createTextNode(\"\")}}s.TextView=P,P.__name__=\"TextView\";class A extends z{constructor(e){super(e)}}s.Text=A,i=A,A.__name__=\"Text\",i.prototype.default_view=P,i.define((({String:e})=>({content:[e,\"\"]})));class N extends C{}s.PlaceholderView=N,N.__name__=\"PlaceholderView\",N.tag_name=\"span\";class E extends z{constructor(e){super(e)}}s.Placeholder=E,_=E,E.__name__=\"Placeholder\",_.define((({})=>({})));class G extends N{update(e,t,s){this.el.textContent=t.toString()}}s.IndexView=G,G.__name__=\"IndexView\";class I extends E{constructor(e){super(e)}}s.Index=I,o=I,I.__name__=\"Index\",o.prototype.default_view=G,o.define((({})=>({})));class k extends N{update(e,t,s){const n=(0,O._get_column_value)(this.model.field,e,t),a=null==n?\"???\":`${n}`;this.el.textContent=a}}s.ValueRefView=k,k.__name__=\"ValueRefView\";class $ extends E{constructor(e){super(e)}}s.ValueRef=$,r=$,$.__name__=\"ValueRef\",r.prototype.default_view=k,r.define((({String:e})=>({field:[e]})));class B extends k{render(){super.render(),this.value_el=(0,g.span)(),this.swatch_el=(0,g.span)({class:S.tooltip_color_block},\" \"),this.el.appendChild(this.value_el),this.el.appendChild(this.swatch_el)}update(e,t,s){const n=(0,O._get_column_value)(this.model.field,e,t),a=null==n?\"???\":`${n}`;this.el.textContent=a}}s.ColorRefView=B,B.__name__=\"ColorRefView\";class L extends ${constructor(e){super(e)}}s.ColorRef=L,c=L,L.__name__=\"ColorRef\",c.prototype.default_view=B,c.define((({Boolean:e})=>({hex:[e,!0],swatch:[e,!0]})));class j extends C{constructor(){super(...arguments),this.child_views=new Map}async lazy_initialize(){await super.lazy_initialize();const e=this.model.children.filter((e=>e instanceof v.Model));await(0,R.build_views)(this.child_views,e,{parent:this})}render(){super.render();const{style:e}=this.model;if(null!=e)if(e instanceof V.Styles)for(const t of e){const e=t.get_value();if((0,D.isString)(e)){const s=t.attr.replace(/_/g,\"-\");this.el.style.hasOwnProperty(s)&&this.el.style.setProperty(s,e)}}else for(const[t,s]of(0,M.entries)(e)){const e=t.replace(/_/g,\"-\");this.el.style.hasOwnProperty(e)&&this.el.style.setProperty(e,s)}for(const e of this.model.children)if((0,D.isString)(e)){const t=document.createTextNode(e);this.el.appendChild(t)}else{this.child_views.get(e).renderTo(this.el)}}}s.DOMElementView=j,j.__name__=\"DOMElementView\";class q extends z{constructor(e){super(e)}}s.DOMElement=q,d=q,q.__name__=\"DOMElement\",d.define((({String:e,Array:t,Dict:s,Or:n,Nullable:a,Ref:l})=>({style:[a(n(l(V.Styles),s(e))),null],children:[t(n(e,l(z),l(y.LayoutDOM))),[]]})));class F extends T.View{}s.ActionView=F,F.__name__=\"ActionView\";class H extends v.Model{constructor(e){super(e)}}s.Action=H,p=H,H.__name__=\"Action\",H.__module__=\"bokeh.models.dom\",p.define((({})=>({})));class J extends j{constructor(){super(...arguments),this.action_views=new Map}async lazy_initialize(){await super.lazy_initialize(),await(0,R.build_views)(this.action_views,this.model.actions,{parent:this})}remove(){(0,R.remove_views)(this.action_views),super.remove()}update(e,t,s={}){!function n(a){for(const l of a.child_views.values())l instanceof N?l.update(e,t,s):l instanceof j&&n(l)}(this);for(const n of this.action_views.values())n.update(e,t,s)}}s.TemplateView=J,J.__name__=\"TemplateView\",J.tag_name=\"div\";class K extends 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function _(t,o,e,n,s){var i;n();const l=t(15),c=t(53),r=t(224),a=t(232),u=t(234);class h extends c.Model{constructor(t){super(t)}get button_view(){return this.tools[0].button_view}get event_type(){return this.tools[0].event_type}get tooltip(){return this.tools[0].tooltip}get tool_name(){return this.tools[0].tool_name}get icon(){return this.tools[0].computed_icon}get computed_icon(){return this.icon}get toggleable(){const t=this.tools[0];return t instanceof a.InspectTool&&t.toggleable}initialize(){super.initialize(),this.do=new l.Signal0(this,\"do\")}connect_signals(){super.connect_signals(),this.connect(this.do,(()=>this.doit())),this.connect(this.properties.active.change,(()=>this.set_active()));for(const t of this.tools)this.connect(t.properties.active.change,(()=>{this.active=t.active}))}doit(){for(const t of this.tools)t.do.emit()}set_active(){for(const t of this.tools)t.active=this.active}get menu(){const{menu:t}=this.tools[0];if(null==t)return null;const o=[];for(const[e,n]of(0,u.enumerate)(t))if(null==e)o.push(null);else{const t=()=>{var t,o,e;for(const s of this.tools)null===(e=null===(o=null===(t=s.menu)||void 0===t?void 0:t[n])||void 0===o?void 0:o.handler)||void 0===e||e.call(o)};o.push(Object.assign(Object.assign({},e),{handler:t}))}return o}}e.ToolProxy=h,i=h,h.__name__=\"ToolProxy\",i.define((({Boolean:t,Array:o,Ref:e})=>({tools:[o(e(r.ButtonTool)),[]],active:[t,!1],disabled:[t,!1]})))},\n function _(o,t,s,e,i){var n,r;e();const l=o(20),c=o(9),h=o(13),a=o(233),_=o(221),p=o(394),u=o(309),f=o(207);class y extends a.ToolbarBase{constructor(o){super(o)}initialize(){super.initialize(),this._merge_tools()}_merge_tools(){this._proxied_tools=[];const o={},t={},s={},e=[],i=[];for(const o of this.help)(0,c.includes)(i,o.redirect)||(e.push(o),i.push(o.redirect));this._proxied_tools.push(...e),this.help=e;for(const[o,t]of(0,h.entries)(this.gestures)){o in s||(s[o]={});for(const e of t.tools)e.type in 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of(0,h.values)(o))t.length>0&&this.inspectors.push(n(t,!0));for(const[o,t]of(0,h.entries)(this.gestures))0!=t.tools.length&&(t.tools=(0,c.sort_by)(t.tools,(o=>o.default_order)),\"pinch\"!=o&&\"scroll\"!=o&&\"multi\"!=o&&(t.tools[0].active=!0))}}s.ProxyToolbar=y,n=y,y.__name__=\"ProxyToolbar\",n.define((({Array:o,Ref:t})=>({toolbars:[o(t(_.Toolbar)),[]]})));class d extends u.LayoutDOMView{initialize(){this.model.toolbar.toolbar_location=this.model.toolbar_location,super.initialize()}get child_models(){return[this.model.toolbar]}_update_layout(){this.layout=new f.ContentBox(this.child_views[0].el);const{toolbar:o}=this.model;o.horizontal?this.layout.set_sizing({width_policy:\"fit\",min_width:100,height_policy:\"fixed\"}):this.layout.set_sizing({width_policy:\"fixed\",height_policy:\"fit\",min_height:100})}after_layout(){super.after_layout();const o=this.child_views[0];o.layout.bbox=this.layout.bbox,o.render()}}s.ToolbarBoxView=d,d.__name__=\"ToolbarBoxView\";class b extends 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t.def(e.shared.vao+\".currentVAO?\"+e.shared.vao+\".currentVAO.instances:-1\")}));return null}var d=l(hr,!0),m=function(){if(mr in r){var e=r[mr];return a.primitive=e,_.commandParameter(e,ie,\"invalid primitve\",t.commandStr),an((function(t,r){return ie[e]}))}if(mr in n){var o=n[mr];return on(o,(function(e,t){var r=e.constants.primTypes,n=e.invoke(t,o);return _.optional((function(){e.assert(t,n+\" in \"+r,\"invalid primitive, must be one of \"+Object.keys(ie))})),t.def(r,\"[\",n,\"]\")}))}return u?nn(s)?s.value?an((function(e,t){return t.def(e.ELEMENTS,\".primType\")})):an((function(){return 4})):new rn(s.thisDep,s.contextDep,s.propDep,(function(e,t){var r=e.ELEMENTS;return t.def(r,\"?\",r,\".primType:\",4)})):i?new rn(f.thisDep,f.contextDep,f.propDep,(function(e,t){return t.def(e.shared.vao+\".currentVAO?\"+e.shared.vao+\".currentVAO.primitive:4\")})):null}(),p=function(){if(pr in r){var e=0|r[pr];return a.count=e,_.command(\"number\"==typeof e&&e>=0,\"invalid vertex 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t.def(e.shared.vao,\".currentVAO?\",e.shared.vao,\".currentVAO.count:-1\")}));return m}return null}(),h=l(br,!1);return{elements:s,primitive:m,count:p,instances:h,offset:d,vao:f,vaoActive:i,elementsActive:u,static:a}}(e,d),A=function(e,t){var r=e.static,n=e.dynamic,i={};return k.forEach((function(e){var o=E(e);function f(t,a){if(e in r){var f=t(r[e]);i[o]=an((function(){return f}))}else if(e in n){var u=n[e];i[o]=on(u,(function(e,t){return a(e,t,e.invoke(t,u))}))}}switch(e){case Nt:case It:case Vt:case er:case Mt:case ir:case Xt:case Kt:case Jt:case Gt:return f((function(r){return _.commandType(r,\"boolean\",e,t.commandStr),r}),(function(t,r,n){return _.optional((function(){t.assert(r,\"typeof \"+n+'===\"boolean\"',\"invalid flag \"+e,t.commandStr)})),n}));case Wt:return f((function(r){return _.commandParameter(r,$r,\"invalid \"+e,t.commandStr),$r[r]}),(function(t,r,n){var a=t.constants.compareFuncs;return _.optional((function(){t.assert(r,n+\" in \"+a,\"invalid \"+e+\", must be one of 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\"+e,t.commandStr),[v[r],v[r]]):\"object\"==typeof r?(_.commandParameter(r.rgb,v,e+\".rgb\",t.commandStr),_.commandParameter(r.alpha,v,e+\".alpha\",t.commandStr),[v[r.rgb],v[r.alpha]]):void _.commandRaise(\"invalid blend.equation\",t.commandStr)}),(function(t,r,n){var a=t.constants.blendEquations,i=r.def(),o=r.def(),f=t.cond(\"typeof \",n,'===\"string\"');return _.optional((function(){function r(e,r,n){t.assert(e,n+\" in \"+a,\"invalid \"+r+\", must be one of \"+Object.keys(v))}r(f.then,e,n),t.assert(f.else,n+\"&&typeof \"+n+'===\"object\"',\"invalid \"+e),r(f.else,e+\".rgb\",n+\".rgb\"),r(f.else,e+\".alpha\",n+\".alpha\")})),f.then(i,\"=\",o,\"=\",a,\"[\",n,\"];\"),f.else(i,\"=\",a,\"[\",n,\".rgb];\",o,\"=\",a,\"[\",n,\".alpha];\"),r(f),[i,o]}));case Pt:return f((function(e){return _.command(me(e)&&4===e.length,\"blend.color must be a 4d array\",t.commandStr),V(4,(function(t){return+e[t]}))}),(function(e,t,r){return _.optional((function(){e.assert(t,e.shared.isArrayLike+\"(\"+r+\")&&\"+r+\".length===4\",\"blend.color must be a 4d array\")})),V(4,(function(e){return t.def(\"+\",r,\"[\",e,\"]\")}))}));case tr:return f((function(e){return _.commandType(e,\"number\",o,t.commandStr),0|e}),(function(e,t,r){return _.optional((function(){e.assert(t,\"typeof \"+r+'===\"number\"',\"invalid stencil.mask\")})),t.def(r,\"|0\")}));case rr:return f((function(r){_.commandType(r,\"object\",o,t.commandStr);var n=r.cmp||\"keep\",a=r.ref||0,i=\"mask\"in r?r.mask:-1;return _.commandParameter(n,$r,e+\".cmp\",t.commandStr),_.commandType(a,\"number\",e+\".ref\",t.commandStr),_.commandType(i,\"number\",e+\".mask\",t.commandStr),[$r[n],a,i]}),(function(e,t,r){var n=e.constants.compareFuncs;return _.optional((function(){function a(){e.assert(t,Array.prototype.join.call(arguments,\"\"),\"invalid stencil.func\")}a(r+\"&&typeof \",r,'===\"object\"'),a('!(\"cmp\" in ',r,\")||(\",r,\".cmp in \",n,\")\")})),[t.def('\"cmp\" in 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_.commandType(r,\"number\",o+\".factor\",t.commandStr),_.commandType(n,\"number\",o+\".units\",t.commandStr),[r,n]}),(function(t,r,n){return _.optional((function(){t.assert(r,n+\"&&typeof \"+n+'===\"object\"',\"invalid \"+e)})),[r.def(n,\".factor|0\"),r.def(n,\".units|0\")]}));case qt:return f((function(e){var r=0;return\"front\"===e?r=Hr:\"back\"===e&&(r=Nr),_.command(!!r,o,t.commandStr),r}),(function(e,t,r){return _.optional((function(){e.assert(t,r+'===\"front\"||'+r+'===\"back\"',\"invalid cull.face\")})),t.def(r,'===\"front\"?',Hr,\":\",Nr)}));case Yt:return f((function(e){return _.command(\"number\"==typeof e&&e>=a.lineWidthDims[0]&&e<=a.lineWidthDims[1],\"invalid line width, must be a positive number between \"+a.lineWidthDims[0]+\" and \"+a.lineWidthDims[1],t.commandStr),e}),(function(e,t,r){return _.optional((function(){e.assert(t,\"typeof \"+r+'===\"number\"&&'+r+\">=\"+a.lineWidthDims[0]+\"&&\"+r+\"<=\"+a.lineWidthDims[1],\"invalid line width\")})),r}));case Qt:return f((function(e){return _.commandParameter(e,Zr,o,t.commandStr),Zr[e]}),(function(e,t,r){return _.optional((function(){e.assert(t,r+'===\"cw\"||'+r+'===\"ccw\"',\"invalid frontFace, must be one of cw,ccw\")})),t.def(r+'===\"cw\"?2304:'+qr)}));case Ht:return f((function(e){return _.command(me(e)&&4===e.length,\"color.mask must be length 4 array\",t.commandStr),e.map((function(e){return!!e}))}),(function(e,t,r){return _.optional((function(){e.assert(t,e.shared.isArrayLike+\"(\"+r+\")&&\"+r+\".length===4\",\"invalid color.mask\")})),V(4,(function(e){return\"!!\"+r+\"[\"+e+\"]\"}))}));case Zt:return f((function(e){_.command(\"object\"==typeof e&&e,o,t.commandStr);var r=\"value\"in e?e.value:1,n=!!e.invert;return _.command(\"number\"==typeof r&&r>=0&&r<=1,\"sample.coverage.value must be a number between 0 and 1\",t.commandStr),[r,n]}),(function(e,t,r){return _.optional((function(){e.assert(t,r+\"&&typeof \"+r+'===\"object\"',\"invalid sample.coverage\")})),[t.def('\"value\" in 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t=x[e];t&&(A[e]=t)}O(fr),O(E(or));var T=Object.keys(A).length>0,D={framebuffer:y,draw:w,shader:S,state:A,dirty:T,scopeVAO:null,drawVAO:null,useVAO:!1,attributes:{}};if(D.profile=function(e){var t,r=e.static,n=e.dynamic;if(ur in r){var a=!!r[ur];(t=an((function(e,t){return a}))).enable=a}else if(ur in n){var i=n[ur];t=on(i,(function(e,t){return e.invoke(t,i)}))}return t}(e),D.uniforms=function(e,t){var r=e.static,n=e.dynamic,a={};return Object.keys(r).forEach((function(e){var n,i=r[e];if(\"number\"==typeof i||\"boolean\"==typeof i)n=an((function(){return i}));else if(\"function\"==typeof i){var o=i._reglType;\"texture2d\"===o||\"textureCube\"===o?n=an((function(e){return e.link(i)})):\"framebuffer\"===o||\"framebufferCube\"===o?(_.command(i.color.length>0,'missing color attachment for framebuffer sent to uniform \"'+e+'\"',t.commandStr),n=an((function(e){return e.link(i.color[0])}))):_.commandRaise('invalid data for uniform \"'+e+'\"',t.commandStr)}else me(i)?n=an((function(t){return 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unit vector.\\n v_segment_length = length(a_point_end - a_point_start);\\n vec2 segment_right = right_vector(segment_along); // unit vector.\\n vec2 xy;\\n\\n bool miter_too_large_start = false;\\n bool miter_too_large_end = false;\\n\\n v_coords.y = a_position.y*halfwidth; // Overwritten later for end points.\\n\\n bool has_start_cap = a_show_prev < 0.5;\\n bool has_end_cap = a_show_next < 0.5;\\n\\n vec2 point_normal_start;\\n float cos_theta_start;\\n float turn_right_start;\\n if (has_start_cap)\\n point_normal_start = segment_right;\\n else {\\n vec2 prev_right = right_vector(normalize(a_point_start - a_point_prev));\\n point_normal_start = normalize(segment_right + prev_right);\\n cos_theta_start = dot(segment_right, point_normal_start); // Always +ve\\n turn_right_start = sign_no_zero(dot(segment_right, a_point_prev - a_point_start));\\n }\\n\\n vec2 point_normal_end;\\n float cos_theta_end;\\n float turn_right_end;\\n if (has_end_cap)\\n point_normal_end = segment_right;\\n else {\\n vec2 next_right = right_vector(normalize(a_point_next - a_point_end));\\n point_normal_end = normalize(segment_right + next_right);\\n cos_theta_end = dot(segment_right, point_normal_end); // Always +ve\\n turn_right_end = sign_no_zero(dot(segment_right, a_point_next - a_point_end));\\n }\\n\\n float miter_factor_start = 1.0 / dot(segment_right, point_normal_start);\\n float miter_factor_end = 1.0 / dot(segment_right, point_normal_end);\\n if (join_type == miter_join) {\\n // If miter too large, use bevel join instead.\\n miter_too_large_start = (miter_factor_start > u_miter_limit);\\n miter_too_large_end = (miter_factor_end > u_miter_limit);\\n }\\n\\n float sign_at_start = -sign(a_position.x); // +ve at segment start, -ve end.\\n vec2 point = sign_at_start > 0.0 ? a_point_start : a_point_end;\\n vec2 adjacent_point =\\n sign_at_start > 0.0 ? (has_start_cap ? a_point_start : a_point_prev)\\n : (has_end_cap ? a_point_end : a_point_next);\\n\\n if ( (has_start_cap && sign_at_start > 0.0) ||\\n (has_end_cap && sign_at_start < 0.0) ) {\\n // Cap.\\n xy = point - segment_right*(halfwidth*a_position.y);\\n if (cap_type == butt_cap)\\n xy -= sign_at_start*0.5*u_antialias*segment_along;\\n else\\n xy -= sign_at_start*halfwidth*segment_along;\\n }\\n else { // Join.\\n // +ve if turning to right, -ve if to left.\\n float turn_sign = sign_at_start > 0.0 ? turn_right_start : turn_right_end;\\n\\n vec2 adjacent_right = sign_at_start*normalize(right_vector(point - adjacent_point));\\n vec2 point_right = normalize(segment_right + adjacent_right);\\n float miter_factor = sign_at_start > 0.0 ? miter_factor_start : miter_factor_end;\\n bool miter_too_large = sign_at_start > 0.0 ? miter_too_large_start : miter_too_large_end;\\n\\n if (abs(a_position.x) > 1.5) {\\n // Outer point, meets prev/next segment.\\n float factor; // multiplied by halfwidth...\\n\\n if (join_type == bevel_join || (join_type == miter_join && miter_too_large))\\n factor = 1.0 / miter_factor; // cos_theta.\\n else if (join_type == round_join &&\\n miter_factor > min_miter_factor_round_join_mesh)\\n factor = 1.0;\\n else // miter, or round (small angle only).\\n factor = miter_factor;\\n\\n xy = point - point_right*(halfwidth*turn_sign*factor);\\n v_coords.y = turn_sign*halfwidth*factor / miter_factor;\\n }\\n else if (turn_sign*a_position.y < 0.0) {\\n // Inner point, meets prev/next segment.\\n float len = halfwidth*miter_factor;\\n float segment_len = v_segment_length;\\n float adjacent_len = distance(point, adjacent_point);\\n\\n if (len <= min(segment_len, adjacent_len))\\n // Normal behaviour.\\n xy = point - point_right*(len*a_position.y);\\n else\\n // For short wide line segments the inner point using the above\\n // calculation can be outside of the line. Here clipping it.\\n xy = point + segment_right*(halfwidth*turn_sign);\\n }\\n else {\\n // Point along outside edge.\\n xy = point - segment_right*(halfwidth*a_position.y);\\n if (join_type == round_join &&\\n miter_factor > min_miter_factor_round_join_mesh) {\\n xy = line_intersection(xy, segment_along,\\n point - turn_sign*point_right*halfwidth,\\n right_vector(point_right));\\n }\\n }\\n }\\n\\n vec2 pos = xy + 0.5; // Bokeh's offset.\\n pos /= u_canvas_size / u_pixel_ratio; // in 0..1\\n gl_Position = vec4(2.0*pos.x - 1.0, 1.0 - 2.0*pos.y, 0.0, 1.0);\\n\\n v_coords.x = dot(xy - a_point_start, segment_along);\\n v_flags = float(int(has_start_cap) +\\n 2*int(has_end_cap) +\\n 4*int(miter_too_large_start) +\\n 8*int(miter_too_large_end));\\n v_cos_theta_turn_right_start = cos_theta_start*turn_right_start;\\n v_cos_theta_turn_right_end = cos_theta_end*turn_right_end;\\n\\n#ifdef DASHED\\n v_length_so_far = a_length_so_far;\\n#endif\\n}\\n\"},\n 416: function _(n,t,a,i,e){i();a.default=\"\\nprecision mediump float;\\n\\nconst int butt_cap = 0;\\nconst int round_cap = 1;\\nconst int square_cap = 2;\\n\\nconst int miter_join = 0;\\nconst int round_join = 1;\\nconst int bevel_join = 2;\\n\\nuniform float u_linewidth;\\nuniform float u_antialias;\\nuniform float u_line_join;\\nuniform float u_line_cap;\\nuniform vec4 u_line_color;\\n#ifdef DASHED\\nuniform sampler2D u_dash_tex;\\nuniform vec4 u_dash_tex_info;\\nuniform float u_dash_scale;\\nuniform float u_dash_offset;\\n#endif\\n\\nvarying float v_segment_length;\\nvarying vec2 v_coords;\\nvarying float v_flags;\\nvarying float v_cos_theta_turn_right_start;\\nvarying float v_cos_theta_turn_right_end;\\n#ifdef DASHED\\nvarying float v_length_so_far;\\n#endif\\n\\nfloat cross_z(in vec2 v0, in vec2 v1)\\n{\\n return v0.x*v1.y - v0.y*v1.x;\\n}\\n\\nfloat point_line_side(in vec2 point, in vec2 start, in vec2 end)\\n{\\n // +ve if point to right of line.\\n // Alternatively could do dot product with right_vector.\\n return cross_z(point - start, end - start);\\n}\\n\\nfloat point_line_distance(in vec2 point, in vec2 start, in vec2 end)\\n{\\n return point_line_side(point, start, end) / distance(start, end);\\n}\\n\\nvec2 right_vector(in vec2 v)\\n{\\n return vec2(v.y, -v.x);\\n}\\n\\nfloat bevel_join_distance(in float sign_start, in float halfwidth)\\n{\\n float cos_theta_turn_right = sign_start > 0.0 ? v_cos_theta_turn_right_start\\n : v_cos_theta_turn_right_end;\\n float cos_theta = abs(cos_theta_turn_right);\\n float turn_right = sign(cos_theta_turn_right);\\n float distance_along = sign_start > 0.0 ? 0.0 : v_segment_length;\\n\\n // In v_coords reference frame (x is along segment, y across).\\n vec2 line_start = vec2(distance_along, halfwidth*turn_right);\\n float sin_alpha = cos_theta;\\n float cos_alpha = sqrt(1.0 - sin_alpha*sin_alpha);\\n vec2 line_along = vec2(-sign_start*turn_right*sin_alpha, -cos_alpha);\\n\\n return halfwidth + sign_start*point_line_distance(\\n v_coords, line_start, line_start+line_along);\\n}\\n\\nfloat cap(in int cap_type, in float x, in float y)\\n{\\n // x is distance along segment in direction away from end of segment,\\n // y is distance across segment.\\n if (cap_type == butt_cap)\\n return max(0.5*u_linewidth - x, abs(y));\\n else if (cap_type == square_cap)\\n return max(-x, abs(y));\\n else // cap_type == round_cap\\n return distance(vec2(min(x, 0.0), y), vec2(0.0, 0.0));\\n}\\n\\nfloat distance_to_alpha(in float dist)\\n{\\n return 1.0 - smoothstep(0.5*(u_linewidth - u_antialias),\\n 0.5*(u_linewidth + u_antialias), dist);\\n}\\n\\n#ifdef DASHED\\nfloat dash_distance(in float x)\\n{\\n // x is in direction of v_coords.x, i.e. along segment.\\n float tex_length = u_dash_tex_info.x;\\n float tex_offset = u_dash_tex_info.y;\\n float tex_dist_min = u_dash_tex_info.z;\\n float tex_dist_max = u_dash_tex_info.w;\\n\\n // Apply offset.\\n x += v_length_so_far - u_dash_scale*tex_offset + u_dash_offset;\\n\\n // Interpolate within texture to obtain distance to dash.\\n float dist = texture2D(u_dash_tex,\\n vec2(x / (tex_length*u_dash_scale), 0.0)).a;\\n\\n // Scale distance within min and max limits.\\n dist = tex_dist_min + dist*(tex_dist_max - tex_dist_min);\\n\\n return u_dash_scale*dist;\\n}\\n\\nfloat clip_dash_distance(in float x, in float offset, in float sign_along)\\n{\\n // Return clipped dash distance, sign_along is +1.0 if looking forward\\n // into next segment and -1.0 if looking backward into previous segment.\\n float half_antialias = 0.5*u_antialias;\\n\\n if (sign_along*x > half_antialias) {\\n // Outside antialias region, use usual dash distance.\\n return dash_distance(offset + x);\\n }\\n else {\\n // Inside antialias region.\\n // Dash distance at edge of antialias region clipped to half_antialias.\\n float edge_dist = min(dash_distance(offset + sign_along*half_antialias), half_antialias);\\n\\n // Physical distance from dash distance at edge of antialias region.\\n return edge_dist + sign_along*x - half_antialias;\\n }\\n}\\n\\nmat2 rotation_matrix(in float sign_start)\\n{\\n // Rotation matrix for v_coords from this segment to prev or next segment.\\n float cos_theta_turn_right = sign_start > 0.0 ? v_cos_theta_turn_right_start\\n : v_cos_theta_turn_right_end;\\n float cos_theta = abs(cos_theta_turn_right);\\n float turn_right = sign(cos_theta_turn_right);\\n\\n float sin_theta = sqrt(1.0 - cos_theta*cos_theta)*sign_start*turn_right;\\n float cos_2theta = 2.0*cos_theta*cos_theta - 1.0;\\n float sin_2theta = 2.0*sin_theta*cos_theta;\\n return mat2(cos_2theta, -sin_2theta, sin_2theta, cos_2theta);\\n}\\n#endif\\n\\nvoid main()\\n{\\n int join_type = int(u_line_join + 0.5);\\n int cap_type = int(u_line_cap + 0.5);\\n float halfwidth = 0.5*(u_linewidth + u_antialias);\\n float half_antialias = 0.5*u_antialias;\\n\\n // Extract flags.\\n int flags = int(v_flags + 0.5);\\n bool miter_too_large_end = (flags / 8 > 0);\\n flags -= 8*int(miter_too_large_end);\\n bool miter_too_large_start = (flags / 4 > 0);\\n flags -= 4*int(miter_too_large_start);\\n bool has_end_cap = (flags / 2 > 0);\\n flags -= 2*int(has_end_cap);\\n bool has_start_cap = flags > 0;\\n\\n float dist = v_coords.y; // For straight segment, and miter join.\\n\\n // Along-segment coords with respect to end of segment, +ve inside segment\\n // so equivalent to v_coords.x at start of segment.\\n float end_coords_x = v_segment_length - v_coords.x;\\n\\n if (v_coords.x <= half_antialias) {\\n // At start of segment, either cap or join.\\n if (has_start_cap)\\n dist = cap(cap_type, v_coords.x, v_coords.y);\\n else if (join_type == round_join)\\n dist = distance(v_coords, vec2(0.0, 0.0));\\n else if (join_type == bevel_join ||\\n (join_type == miter_join && miter_too_large_start))\\n dist = max(abs(dist), bevel_join_distance(1.0, halfwidth));\\n // else a miter join which uses the default dist calculation.\\n }\\n else if (end_coords_x <= half_antialias) {\\n // At end of segment, either cap or join.\\n if (has_end_cap)\\n dist = cap(cap_type, end_coords_x, v_coords.y);\\n else if (join_type == round_join)\\n dist = distance(v_coords, vec2(v_segment_length, 0));\\n else if ((join_type == bevel_join ||\\n (join_type == miter_join && miter_too_large_end)))\\n dist = max(abs(dist), bevel_join_distance(-1.0, halfwidth));\\n // else a miter join which uses the default dist calculation.\\n }\\n\\n float alpha = distance_to_alpha(abs(dist));\\n\\n#ifdef DASHED\\n if (u_dash_tex_info.x >= 0.0) {\\n // Dashes in straight segments (outside of joins) are easily calculated.\\n dist = dash_distance(v_coords.x);\\n\\n if (!has_start_cap && cap_type == butt_cap) {\\n if (v_coords.x < half_antialias) {\\n // Outer of start join rendered solid color or not at all\\n // depending on whether corner point is in dash or gap, with\\n // antialiased ends.\\n if (dash_distance(0.0) > 0.0) {\\n // Corner is solid color.\\n dist = max(dist, min(half_antialias, -v_coords.x));\\n // Avoid visible antialiasing band between corner and dash.\\n dist = max(dist, dash_distance(half_antialias));\\n }\\n else {\\n // Use large negative value so corner not colored.\\n dist = -halfwidth;\\n\\n if (v_coords.x > -half_antialias) {\\n // Consider antialias region of dash after start region.\\n float edge_dist = min(dash_distance(half_antialias), half_antialias);\\n dist = max(dist, edge_dist + v_coords.x - half_antialias);\\n }\\n }\\n }\\n\\n vec2 prev_coords = rotation_matrix(1.0)*v_coords;\\n\\n if (abs(prev_coords.y) < halfwidth && prev_coords.x < half_antialias) {\\n // Extend dashes across from end of previous segment, with antialiased end.\\n float new_dist = clip_dash_distance(prev_coords.x, 0.0, -1.0);\\n new_dist = min(new_dist, 0.5*u_linewidth - abs(prev_coords.y));\\n dist = max(dist, new_dist);\\n }\\n }\\n\\n if (!has_end_cap && cap_type == butt_cap) {\\n if (end_coords_x < half_antialias) {\\n // Similar for end join.\\n if (dash_distance(v_segment_length) > 0.0) {\\n // Corner is solid color.\\n dist = max(dist, min(half_antialias, -end_coords_x));\\n // Avoid visible antialiasing band between corner and dash.\\n dist = max(dist, dash_distance(v_segment_length - half_antialias));\\n }\\n else {\\n // Use large negative value so corner not colored.\\n dist = -halfwidth;\\n\\n if (end_coords_x > -half_antialias) {\\n // Consider antialias region of dash before end region.\\n float edge_dist = min(dash_distance(v_segment_length - half_antialias),\\n half_antialias);\\n dist = max(dist, edge_dist + end_coords_x - half_antialias);\\n }\\n }\\n }\\n\\n vec2 next_coords = rotation_matrix(-1.0)*(v_coords - vec2(v_segment_length, 0.0));\\n\\n if (abs(next_coords.y) < halfwidth && next_coords.x > -half_antialias) {\\n // Extend dashes across from next segment, with antialiased end.\\n float new_dist = clip_dash_distance(next_coords.x, v_segment_length, 1.0);\\n new_dist = min(new_dist, 0.5*u_linewidth - abs(next_coords.y));\\n dist = max(dist, new_dist);\\n }\\n }\\n\\n dist = cap(cap_type, dist, v_coords.y);\\n\\n float dash_alpha = distance_to_alpha(dist);\\n alpha = min(alpha, dash_alpha);\\n }\\n#endif\\n\\n alpha = u_line_color.a*alpha;\\n gl_FragColor = vec4(u_line_color.rgb*alpha, alpha); // Premultiplied alpha.\\n}\\n\"},\n 417: function _(n,i,e,t,a){t();e.default=\"\\nprecision mediump float;\\n\\nattribute vec2 a_position;\\nattribute vec2 a_center;\\nattribute float a_width;\\nattribute float a_height;\\nattribute float a_angle; // In radians\\nattribute float a_linewidth;\\nattribute vec4 a_line_color;\\nattribute vec4 a_fill_color;\\nattribute float a_line_cap;\\nattribute float a_line_join;\\nattribute float a_show;\\n#ifdef HATCH\\nattribute float a_hatch_pattern;\\nattribute float a_hatch_scale;\\nattribute float a_hatch_weight;\\nattribute vec4 a_hatch_color;\\n#endif\\n\\nuniform float u_pixel_ratio;\\nuniform vec2 u_canvas_size;\\nuniform float u_antialias;\\nuniform float u_size_hint;\\n\\nvarying float v_linewidth;\\nvarying vec2 v_size; // 2D size for rects compared to 1D for markers.\\nvarying vec4 v_line_color;\\nvarying vec4 v_fill_color;\\nvarying float v_line_cap;\\nvarying float v_line_join;\\nvarying vec2 v_coords;\\n#ifdef HATCH\\nvarying float v_hatch_pattern;\\nvarying float v_hatch_scale;\\nvarying float v_hatch_weight;\\nvarying vec4 v_hatch_color;\\nvarying vec2 v_hatch_coords;\\n#endif\\n\\nvoid main()\\n{\\n if (a_show < 0.5) {\\n // Do not show this rect.\\n gl_Position = vec4(-2.0, -2.0, 0.0, 1.0);\\n return;\\n }\\n\\n v_size = vec2(a_width, a_height);\\n v_linewidth = a_linewidth;\\n v_line_color = a_line_color;\\n v_fill_color = a_fill_color;\\n v_line_cap = a_line_cap;\\n v_line_join = a_line_join;\\n\\n if (v_linewidth < 1.0) {\\n // Linewidth less than 1 is implemented as 1 but with reduced alpha.\\n v_line_color.a *= v_linewidth;\\n v_linewidth = 1.0;\\n }\\n\\n#ifdef HATCH\\n v_hatch_pattern = a_hatch_pattern;\\n v_hatch_scale = a_hatch_scale;\\n v_hatch_weight = a_hatch_weight;\\n v_hatch_color = a_hatch_color;\\n#endif\\n\\n vec2 enclosing_size;\\n // Need extra size of (v_linewidth+u_antialias) if edge of marker parallel to\\n // edge of bounding box. If symmetric spike towards edge then multiply by\\n // 1/cos(theta) where theta is angle between spike and bbox edges.\\n int size_hint = int(u_size_hint + 0.5);\\n if (size_hint == 1) // Dash\\n enclosing_size = vec2(v_size.x + v_linewidth + u_antialias,\\n v_linewidth + u_antialias);\\n else if (size_hint == 2) // Dot\\n enclosing_size = 0.25*v_size + u_antialias;\\n else if (size_hint == 3) // Diamond\\n enclosing_size = vec2(v_size.x*(2.0/3.0) + (v_linewidth + u_antialias)*1.20185,\\n v_size.y + (v_linewidth + u_antialias)*1.80278);\\n else if (size_hint == 4) // Hex\\n enclosing_size = v_size + (v_linewidth + u_antialias)*vec2(2.0/sqrt(3.0), 1.0);\\n else if (size_hint == 5) // Square pin\\n enclosing_size = v_size + (v_linewidth + u_antialias)*3.1;\\n else if (size_hint == 6) // Triangle\\n enclosing_size = vec2(v_size.x + (v_linewidth + u_antialias)*sqrt(3.0),\\n v_size.y*(2.0/sqrt(3.0)) + (v_linewidth + u_antialias)*2.0);\\n else if (size_hint == 7) // Triangle pin\\n enclosing_size = v_size + (v_linewidth + u_antialias)*vec2(4.8, 6.0);\\n else if (size_hint == 8) // Star\\n enclosing_size = vec2(v_size.x*0.95106 + (v_linewidth + u_antialias)*3.0,\\n v_size.y + (v_linewidth + u_antialias)*3.2);\\n else\\n enclosing_size = v_size + v_linewidth + u_antialias;\\n\\n // Coordinates in rotated frame with respect to center of marker, used for\\n // distance functions in fragment shader.\\n v_coords = a_position*enclosing_size;\\n\\n float c = cos(-a_angle);\\n float s = sin(-a_angle);\\n mat2 rotation = mat2(c, -s, s, c);\\n\\n vec2 pos = a_center + rotation*v_coords;\\n#ifdef HATCH\\n // Coordinates for hatching in unrotated frame of reference.\\n v_hatch_coords = pos - 0.5;\\n#endif\\n pos += 0.5; // Make up for Bokeh's offset.\\n pos /= u_canvas_size / u_pixel_ratio; // 0 to 1.\\n gl_Position = vec4(2.0*pos.x - 1.0, 1.0 - 2.0*pos.y, 0.0, 1.0);\\n}\\n\"},\n 418: function _(n,i,e,t,a){t();e.default=\"\\nprecision mediump float;\\n\\nconst float SQRT2 = sqrt(2.0);\\nconst float SQRT3 = sqrt(3.0);\\nconst float PI = 3.14159265358979323846;\\n\\nconst int butt_cap = 0;\\nconst int round_cap = 1;\\nconst int square_cap = 2;\\n\\nconst int miter_join = 0;\\nconst int round_join = 1;\\nconst int bevel_join = 2;\\n\\n#ifdef HATCH\\nconst int hatch_dot = 1;\\nconst int hatch_ring = 2;\\nconst int hatch_horizontal_line = 3;\\nconst int hatch_vertical_line = 4;\\nconst int hatch_cross = 5;\\nconst int hatch_horizontal_dash = 6;\\nconst int hatch_vertical_dash = 7;\\nconst int hatch_spiral = 8;\\nconst int hatch_right_diagonal_line = 9;\\nconst int hatch_left_diagonal_line = 10;\\nconst int hatch_diagonal_cross = 11;\\nconst int hatch_right_diagonal_dash = 12;\\nconst int hatch_left_diagonal_dash = 13;\\nconst int hatch_horizontal_wave = 14;\\nconst int hatch_vertical_wave = 15;\\nconst int hatch_criss_cross = 16;\\n#endif\\n\\nuniform float u_antialias;\\n\\nvarying float v_linewidth;\\nvarying vec2 v_size;\\nvarying vec4 v_line_color;\\nvarying vec4 v_fill_color;\\nvarying float v_line_cap;\\nvarying float v_line_join;\\nvarying vec2 v_coords;\\n#ifdef HATCH\\nvarying float v_hatch_pattern;\\nvarying float v_hatch_scale;\\nvarying float v_hatch_weight;\\nvarying vec4 v_hatch_color;\\nvarying vec2 v_hatch_coords;\\n#endif\\n\\n// Lines within the marker (dot, cross, x and y) are added at the end as they are\\n// on top of the fill rather than astride it.\\n#if defined(USE_CIRCLE_DOT) || defined(USE_DIAMOND_DOT) || defined(USE_DOT) || defined(USE_HEX_DOT) || defined(USE_SQUARE_DOT) || defined(USE_STAR_DOT) || defined(USE_TRIANGLE_DOT)\\n #define APPEND_DOT\\n#endif\\n\\n#if defined(USE_CIRCLE_CROSS) || defined(USE_SQUARE_CROSS)\\n #define APPEND_CROSS\\n#endif\\n\\n#ifdef USE_DIAMOND_CROSS\\n #define APPEND_CROSS_2\\n#endif\\n\\n#ifdef USE_CIRCLE_X\\n #define APPEND_X\\n #define APPEND_X_LEN (0.5*v_size.x)\\n#endif\\n\\n#ifdef USE_SQUARE_X\\n #define APPEND_X\\n #define APPEND_X_LEN (v_size.x/SQRT2)\\n#endif\\n\\n#ifdef USE_CIRCLE_Y\\n #define APPEND_Y\\n#endif\\n\\n#if defined(USE_ASTERISK) || defined(USE_CROSS) || defined(USE_DASH) || defined(USE_DOT) || defined(USE_X) || defined(USE_Y)\\n // No fill.\\n #define LINE_ONLY\\n#endif\\n\\n#if defined(LINE_ONLY) || defined(APPEND_CROSS) || defined(APPEND_CROSS_2) || defined(APPEND_X) || defined(APPEND_Y)\\nfloat end_cap_distance(in vec2 p, in vec2 end_point, in vec2 unit_direction, in int line_cap)\\n{\\n vec2 offset = p - end_point;\\n if (line_cap == butt_cap)\\n return dot(offset, unit_direction) + 0.5*v_linewidth;\\n else if (line_cap == square_cap)\\n return dot(offset, unit_direction);\\n else if (line_cap == round_cap && dot(offset, unit_direction) > 0.0)\\n return length(offset);\\n else\\n // Default is outside of line and should be -0.5*(v_linewidth+u_antialias) or less,\\n // so here avoid the multiplication.\\n return -v_linewidth-u_antialias;\\n}\\n#endif\\n\\n#if !(defined(LINE_ONLY) || defined(USE_SQUARE_PIN) || defined(USE_TRIANGLE_PIN))\\n// For line join at a vec2 corner where 2 line segments meet, consider bevel points which are the 2\\n// points obtained by moving half a linewidth away from the corner point in the directions normal to\\n// the line segments. The line through these points is the bevel line, characterised by a vec2\\n// unit_normal and offset distance from the corner point. Edge of bevel join straddles this line,\\n// round join occurs outside of this line centred on the corner point. In general\\n// offset = (linewidth/2)*sin(alpha/2)\\n// where alpha is the angle between the 2 line segments at the corner.\\nfloat line_join_distance_no_miter(\\n in vec2 p, in vec2 corner, in vec2 unit_normal, in float offset, in int line_join)\\n{\\n // Simplified version of line_join_distance ignoring miter which most markers do implicitly\\n // as they are composed of straight line segments.\\n float dist_outside = dot((p - corner), unit_normal) - offset;\\n\\n if (line_join == bevel_join && dist_outside > -0.5*u_antialias)\\n return dist_outside + 0.5*v_linewidth;\\n else if (dist_outside > 0.0) // round_join\\n return distance(p, corner);\\n else\\n // Default is outside of line and should be -0.5*(v_linewidth+u_antialias) or less,\\n // so here avoid the multiplication.\\n return -v_linewidth-u_antialias;\\n}\\n#endif\\n\\n#if defined(USE_SQUARE_PIN) || defined(USE_TRIANGLE_PIN)\\n// Line join distance including miter but only one-sided check as assuming use of symmetry in\\n// calling function.\\nfloat line_join_distance_incl_miter(\\n in vec2 p, in vec2 corner, in vec2 unit_normal, in float offset, in int line_join,\\n vec2 miter_unit_normal)\\n{\\n float dist_outside = dot((p - corner), unit_normal) - offset;\\n\\n if (line_join == miter_join && dist_outside > 0.0)\\n return dot((p - corner), miter_unit_normal);\\n else if (line_join == bevel_join && dist_outside > -0.5*u_antialias)\\n return dist_outside + 0.5*v_linewidth;\\n else if (dist_outside > 0.0) // round_join\\n return distance(p, corner);\\n else\\n return -v_linewidth-u_antialias;\\n}\\n#endif\\n\\n#if defined(APPEND_CROSS) || defined(APPEND_X) || defined(USE_ASTERISK) || defined(USE_CROSS) || defined(USE_X)\\nfloat one_cross(in vec2 p, in int line_cap, in float len)\\n{\\n p = abs(p);\\n p = (p.y > p.x) ? p.yx : p.xy;\\n float dist = p.y;\\n float end_dist = end_cap_distance(p, vec2(len, 0.0), vec2(1.0, 0.0), line_cap);\\n return max(dist, end_dist);\\n}\\n#endif\\n\\n#ifdef APPEND_CROSS_2\\nfloat one_cross_2(in vec2 p, in int line_cap, in vec2 lengths)\\n{\\n // Cross with different length in x and y directions.\\n p = abs(p);\\n bool switch_xy = (p.y > p.x);\\n p = switch_xy ? p.yx : p.xy;\\n float len = switch_xy ? lengths.y : lengths.x;\\n float dist = p.y;\\n float end_dist = end_cap_distance(p, vec2(len, 0.0), vec2(1.0, 0.0), line_cap);\\n return max(dist, end_dist);\\n}\\n#endif\\n\\n#if defined(APPEND_Y) || defined(USE_Y)\\nfloat one_y(in vec2 p, in int line_cap, in float len)\\n{\\n p = vec2(abs(p.x), -p.y);\\n\\n // End point of line to right is (1/2, 1/3)*len*SQRT3.\\n // Unit vector along line is (1/2, 1/3)*k where k = 6/SQRT13.\\n const float k = 6.0/sqrt(13.0);\\n vec2 unit_along = vec2(0.5*k, k/3.0);\\n vec2 end_point = vec2(0.5*len*SQRT3, len*SQRT3/3.0);\\n float dist = max(abs(dot(p, vec2(-unit_along.y, unit_along.x))),\\n end_cap_distance(p, end_point, unit_along, line_cap));\\n\\n if (p.y < 0.0) {\\n // Vertical line.\\n float vert_dist = max(p.x,\\n end_cap_distance(p, vec2(0.0, -len), vec2(0.0, -1.0), line_cap));\\n dist = min(dist, vert_dist);\\n }\\n return dist;\\n}\\n#endif\\n\\n// One marker_distance function per marker type.\\n// Distance is zero on edge of marker, +ve outside and -ve inside.\\n\\n#ifdef USE_ASTERISK\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n // Assuming v_size.x == v.size_y\\n vec2 p_diag = vec2((p.x + p.y)/SQRT2, (p.x - p.y)/SQRT2);\\n float len = 0.5*v_size.x;\\n return min(one_cross(p, line_cap, len), // cross\\n one_cross(p_diag, line_cap, len)); // x\\n}\\n#endif\\n\\n#if defined(USE_CIRCLE) || defined(USE_CIRCLE_CROSS) || defined(USE_CIRCLE_DOT) || defined(USE_CIRCLE_X) || defined(USE_CIRCLE_Y)\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n // Assuming v_size.x == v.size_y\\n return length(p) - 0.5*v_size.x;\\n}\\n#endif\\n\\n#ifdef USE_CROSS\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n // Assuming v_size.x == v.size_y\\n return one_cross(p, line_cap, 0.5*v_size.x);\\n}\\n#endif\\n\\n#ifdef USE_DASH\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n p = abs(p);\\n float dist = p.y;\\n float end_dist = end_cap_distance(p, vec2(0.5*v_size.x, 0.0), vec2(1.0, 0.0), line_cap);\\n return max(dist, end_dist);\\n}\\n#endif\\n\\n#if defined(USE_DIAMOND) || defined(USE_DIAMOND_CROSS) || defined(USE_DIAMOND_DOT)\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n // Assuming v_size.x == v.size_y\\n // Only need to consider +ve quadrant, the 2 end points are (2r/3, 0) and (0, r)\\n // where r = radius = v_size.x/2.\\n // Line has outward-facing unit normal vec2(1, 2/3)/k where k = SQRT13/3\\n // hence vec2(3, 2)/SQRT13, and distance from origin of 2r/(3k) = 2r/SQRT13.\\n p = abs(p);\\n float r = 0.5*v_size.x;\\n const float SQRT13 = sqrt(13.0);\\n float dist = dot(p, vec2(3.0, 2.0))/SQRT13 - 2.0*r/SQRT13;\\n\\n if (line_join != miter_join) {\\n dist = max(dist, line_join_distance_no_miter(\\n p, vec2(0.0, r), vec2(0.0, 1.0), v_linewidth/SQRT13, line_join));\\n\\n dist = max(dist, line_join_distance_no_miter(\\n p, vec2(r*2.0/3.0, 0.0), vec2(1.0, 0.0), v_linewidth*(1.5/SQRT13), line_join));\\n }\\n\\n return dist;\\n}\\n#endif\\n\\n#ifdef USE_DOT\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n // Dot is always appended.\\n return v_linewidth+u_antialias;\\n}\\n#endif\\n\\n#if defined(USE_HEX) || defined(USE_HEX_DOT)\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n // A regular hexagon has v_size.x == v.size_y = r where r is the length of\\n // each of the 3 sides of the 6 equilateral triangles that comprise the hex.\\n // Only consider +ve quadrant, the 3 corners are at (0, h), (rx/2, h), (rx, 0)\\n // where rx = 0.5*v_size.x, ry = 0.5*v_size.y and h = ry*SQRT3/2.\\n // Sloping line has outward normal vec2(h, rx/2). Length of this is\\n // len = sqrt(h**2 + rx**2/4) to give unit normal (h, rx/2)/len and distance\\n // from origin of this line is rx*h/len.\\n p = abs(p);\\n float rx = v_size.x/2.0;\\n float h = v_size.y*(SQRT3/4.0);\\n float len_normal = sqrt(h*h + 0.25*rx*rx);\\n vec2 unit_normal = vec2(h, 0.5*rx) / len_normal;\\n float dist = max(dot(p, unit_normal) - rx*h/len_normal, // Distance from sloping line.\\n p.y - h); // Distance from horizontal line.\\n\\n if (line_join != miter_join) {\\n dist = max(dist, line_join_distance_no_miter(\\n p, vec2(rx, 0.0), vec2(1.0, 0.0), 0.5*v_linewidth*unit_normal.x, line_join));\\n\\n unit_normal = normalize(unit_normal + vec2(0.0, 1.0)); // At (rx/2, h) corner.\\n dist = max(dist, line_join_distance_no_miter(\\n p, vec2(0.5*rx, h), unit_normal, 0.5*v_linewidth*unit_normal.y, line_join));\\n }\\n return dist;\\n}\\n#endif\\n\\n#ifdef USE_PLUS\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n // Assuming v_size.x == v.size_y\\n // Only need to consider one octant, the +ve quadrant with x >= y.\\n p = abs(p);\\n p = (p.y > p.x) ? p.yx : p.xy;\\n\\n // 3 corners are (r, 0), (r, 3r/8) and (3r/8, 3r/8).\\n float r = 0.5*v_size.x;\\n p = p - vec2(r, 0.375*r); // Distance with respect to outside corner\\n float dist = max(p.x, p.y);\\n\\n if (line_join != miter_join) {\\n // Outside corner\\n dist = max(dist, line_join_distance_no_miter(\\n p, vec2(0.0, 0.0), vec2(1.0/SQRT2, 1.0/SQRT2), v_linewidth/(2.0*SQRT2), line_join));\\n\\n // Inside corner\\n dist = min(dist, -line_join_distance_no_miter(\\n p, vec2(-5.0*r/8.0, 0.0), vec2(-1.0/SQRT2, -1.0/SQRT2), v_linewidth/(2.0*SQRT2), line_join));\\n }\\n\\n return dist;\\n}\\n#endif\\n\\n#if defined(USE_SQUARE) || defined(USE_SQUARE_CROSS) || defined(USE_SQUARE_DOT) || defined(USE_SQUARE_X)\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n vec2 p2 = abs(p) - v_size/2.0; // Offset from corner\\n float dist = max(p2.x, p2.y);\\n\\n if (line_join != miter_join)\\n dist = max(dist, line_join_distance_no_miter(\\n p2, vec2(0.0, 0.0), vec2(1.0/SQRT2, 1.0/SQRT2), v_linewidth/(2.0*SQRT2), line_join));\\n\\n return dist;\\n}\\n#endif\\n\\n#ifdef USE_SQUARE_PIN\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n // Assuming v_size.x == v.size_y\\n p = abs(p);\\n p = (p.y > p.x) ? p.yx : p.xy;\\n // p is in octant between y=0 and y=x.\\n // Quadratic bezier curve passes through (r, r), (11r/16, 0) and (r, -r).\\n // Circular arc that passes through the same points has center at\\n // x = r + 231r/160 = 2.44275r and y = 0 and hence radius is\\n // x - 11r/16 = 1.75626 precisely.\\n float r = 0.5*v_size.x;\\n float center_x = r*2.44375;\\n float radius = r*1.75626;\\n float dist = radius - distance(p, vec2(center_x, 0.0));\\n\\n // Magic number is 0.5*sin(atan(8/5) - pi/4)\\n dist = max(dist, line_join_distance_incl_miter(\\n p, vec2(r, r), vec2(1.0/SQRT2, 1.0/SQRT2), v_linewidth*0.1124297533493792, line_join,\\n vec2(8.0/sqrt(89.0), -5.0/sqrt(89.0))));\\n\\n return dist;\\n}\\n#endif\\n\\n#if defined(USE_STAR) || defined(USE_STAR_DOT)\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n // Assuming v_size.x == v.size_y\\n const float SQRT5 = sqrt(5.0);\\n const float COS72 = 0.25*(SQRT5 - 1.0);\\n const float SIN72 = sqrt((5.0+SQRT5) / 8.0);\\n\\n float angle = atan(p.x, p.y); // In range -pi to +pi clockwise from +y direction.\\n angle = mod(angle, 0.4*PI) - 0.2*PI; // In range -pi/5 to +pi/5 clockwise from +y direction.\\n p = length(p)*vec2(cos(angle), abs(sin(angle))); // (x,y) in pi/10 (36 degree) sector.\\n\\n // 2 corners are at (r, 0) and (r-a*SIN72, a*COS72) where a = r sqrt(5-2*sqrt(5)).\\n // Line has outward-facing unit normal vec2(COS72, SIN72) and distance from\\n // origin of dot(vec2(r, 0), vec2(COS72, SIN72)) = r*COS72\\n float r = 0.5*v_size.x;\\n float a = r*sqrt(5.0 - 2.0*SQRT5);\\n float dist = dot(p, vec2(COS72, SIN72)) - r*COS72;\\n\\n if (line_join != miter_join) {\\n // Outside corner\\n dist = max(dist, line_join_distance_no_miter(\\n p, vec2(r, 0.0), vec2(1.0, 0.0), v_linewidth*(0.5*COS72), line_join));\\n\\n // Inside corner\\n const float COS36 = sqrt(0.5 + COS72/2.0);\\n const float SIN36 = sqrt(0.5 - COS72/2.0);\\n dist = min(dist, -line_join_distance_no_miter(\\n p, vec2(r-a*SIN72, a*COS72), vec2(-COS36, -SIN36), v_linewidth*(0.5*COS36), line_join));\\n }\\n\\n return dist;\\n}\\n#endif\\n\\n#if defined(USE_TRIANGLE) || defined(USE_TRIANGLE_DOT) || defined(USE_INVERTED_TRIANGLE)\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n // Assuming v_size.x == v.size_y\\n // For normal triangle 3 corners are at (-r, a), (r, a), (0, a-h)=(0, -2h/3)\\n // given r = radius = v_size.x/2, h = SQRT3*r, a = h/3.\\n // Sloping line has outward-facing unit normal vec2(h, -r)/2r = vec2(SQRT3, -1)/2\\n // and distance from origin of a. Horizontal line has outward-facing unit normal\\n // vec2(0, 1) and distance from origin of a.\\n float r = 0.5*v_size.x;\\n float a = r*SQRT3/3.0;\\n\\n // Only need to consider +ve x.\\n#ifdef USE_INVERTED_TRIANGLE\\n p = vec2(abs(p.x), -p.y);\\n#else\\n p = vec2(abs(p.x), p.y);\\n#endif\\n\\n float dist = max(0.5*dot(p, vec2(SQRT3, -1.0)) - a, // Distance from sloping line.\\n p.y - a); // Distance from horizontal line.\\n\\n if (line_join != miter_join) {\\n dist = max(dist, line_join_distance_no_miter(\\n p, vec2(0.0, -(2.0/SQRT3)*r), vec2(0.0, -1.0), v_linewidth*0.25, line_join));\\n\\n dist = max(dist, line_join_distance_no_miter(\\n p, vec2(r, a), vec2(SQRT3/2.0, 0.5), v_linewidth*0.25, line_join));\\n }\\n\\n return dist;\\n}\\n#endif\\n\\n#ifdef USE_TRIANGLE_PIN\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n // Assuming v_size.x == v.size_y\\n float angle = atan(p.x, -p.y); // In range -pi to +pi.\\n angle = mod(angle, PI*2.0/3.0) - PI/3.0; // In range -pi/3 to pi/3.\\n p = length(p)*vec2(cos(angle), abs(sin(angle))); // (x,y) in range 0 to pi/3.\\n // Quadratic bezier curve passes through (a, r), ((a+b)/2, 0) and (a, -r) where\\n // a = r/SQRT3, b = 3a/8 = r SQRT3/8. Circular arc that passes through the same points has\\n // center at (a+x, 0) and radius x+c where c = (a-b)/2 and x = (r**2 - c**2) / (2c).\\n // Ignore r factor until the end so can use const.\\n const float a = 1.0/SQRT3;\\n const float b = SQRT3/8.0;\\n const float c = (a-b)/2.0;\\n const float x = (1.0 - c*c) / (2.0*c);\\n const float center_x = x + a;\\n const float radius = x + c;\\n float r = 0.5*v_size.x;\\n float dist = r*radius - distance(p, vec2(r*center_x, 0.0));\\n\\n // Magic number is 0.5*sin(atan(8*sqrt(3)/5) - pi/3)\\n dist = max(dist, line_join_distance_incl_miter(\\n p, vec2(a*r, r), vec2(0.5, 0.5*SQRT3), v_linewidth*0.0881844526878324, line_join,\\n vec2(8.0*SQRT3, -5.0)/sqrt(217.0)));\\n\\n return dist;\\n}\\n#endif\\n\\n#ifdef USE_X\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n // Assuming v_size.x == v.size_y\\n p = vec2((p.x + p.y)/SQRT2, (p.x - p.y)/SQRT2);\\n return one_cross(p, line_cap, 0.5*v_size.x);\\n}\\n#endif\\n\\n#ifdef USE_Y\\nfloat marker_distance(in vec2 p, in int line_cap, in int line_join)\\n{\\n // Assuming v_size.x == v.size_y\\n return one_y(p, line_cap, 0.5*v_size.x);\\n}\\n#endif\\n\\n// Convert distance from edge of marker to fraction in range 0 to 1, depending\\n// on antialiasing width.\\nfloat distance_to_fraction(in float dist)\\n{\\n return 1.0 - smoothstep(-0.5*u_antialias, 0.5*u_antialias, dist);\\n}\\n\\n// Return fraction from 0 (no fill color) to 1 (full fill color).\\nfloat fill_fraction(in float dist)\\n{\\n return distance_to_fraction(dist);\\n}\\n\\n// Return fraction in range 0 (no line color) to 1 (full line color).\\nfloat line_fraction(in float dist)\\n{\\n return distance_to_fraction(abs(dist) - 0.5*v_linewidth);\\n}\\n\\n// Return fraction (in range 0 to 1) of a color, with premultiplied alpha.\\nvec4 fractional_color(in vec4 color, in float fraction)\\n{\\n color.a *= fraction;\\n color.rgb *= color.a;\\n return color;\\n}\\n\\n// Blend colors that have premultiplied alpha.\\nvec4 blend_colors(in vec4 src, in vec4 dest)\\n{\\n return (1.0 - src.a)*dest + src;\\n}\\n\\n#ifdef APPEND_DOT\\nfloat dot_fraction(in vec2 p)\\n{\\n // Assuming v_size.x == v_size.y\\n float radius = 0.125*v_size.x;\\n float dot_distance = max(length(p) - radius, -0.5*u_antialias);\\n return fill_fraction(dot_distance);\\n}\\n#endif\\n\\n#ifdef HATCH\\n// Wrap coordinate(s) by removing integer part to give distance from center of\\n// repeat, in the range -0.5 to +0.5.\\nfloat wrap(in float x)\\n{\\n return fract(x) - 0.5;\\n}\\n\\nvec2 wrap(in vec2 xy)\\n{\\n return fract(xy) - 0.5;\\n}\\n\\n// Return fraction from 0 (no hatch color) to 1 (full hatch color).\\nfloat hatch_fraction(in vec2 coords, in int hatch_pattern)\\n{\\n float scale = v_hatch_scale; // Hatch repeat distance.\\n\\n // Coordinates and linewidth/halfwidth are scaled to hatch repeat distance.\\n coords = coords / scale;\\n float halfwidth = 0.5*v_hatch_weight / scale; // Half the hatch linewidth.\\n\\n // Default is to return fraction of zero, i.e. no pattern.\\n float dist = u_antialias;\\n\\n if (hatch_pattern == hatch_dot) {\\n const float dot_radius = 0.25;\\n dist = length(wrap(coords)) - dot_radius;\\n }\\n else if (hatch_pattern == hatch_ring) {\\n const float ring_radius = 0.25;\\n dist = abs(length(wrap(coords)) - ring_radius) - halfwidth;\\n }\\n else if (hatch_pattern == hatch_horizontal_line) {\\n dist = abs(wrap(coords.y)) - halfwidth;\\n }\\n else if (hatch_pattern == hatch_vertical_line) {\\n dist = abs(wrap(coords.x)) - halfwidth;\\n }\\n else if (hatch_pattern == hatch_cross) {\\n dist = min(abs(wrap(coords.x)), abs(wrap(coords.y))) - halfwidth;\\n }\\n else if (hatch_pattern == hatch_horizontal_dash) {\\n // Dashes have square caps.\\n const float halflength = 0.25;\\n dist = max(abs(wrap(coords.y)),\\n abs(wrap(coords.x) + 0.25) - halflength) - halfwidth;\\n }\\n else if (hatch_pattern == hatch_vertical_dash) {\\n const float halflength = 0.25;\\n dist = max(abs(wrap(coords.x)),\\n abs(wrap(coords.y) + 0.25) - halflength) - halfwidth;\\n }\\n else if (hatch_pattern == hatch_spiral) {\\n vec2 wrap2 = wrap(coords);\\n float angle = wrap(atan(wrap2.y, wrap2.x) / (2.0*PI));\\n // Canvas spiral radius increases by scale*pi/15 each rotation.\\n const float dr = PI/15.0;\\n float radius = length(wrap2);\\n // At any angle, spiral lines are equally spaced dr apart.\\n // Find distance to nearest of these lines.\\n float frac = fract((radius - dr*angle) / dr); // 0 to 1.\\n dist = dr*(abs(frac - 0.5));\\n dist = min(dist, radius) - halfwidth; // Consider center point also.\\n }\\n else if (hatch_pattern == hatch_right_diagonal_line) {\\n dist = abs(wrap(2.0*coords.x + coords.y))/sqrt(5.0) - halfwidth;\\n }\\n else if (hatch_pattern == hatch_left_diagonal_line) {\\n dist = abs(wrap(2.0*coords.x - coords.y))/sqrt(5.0) - halfwidth;\\n }\\n else if (hatch_pattern == hatch_diagonal_cross) {\\n coords = vec2(coords.x + coords.y + 0.5, coords.x - coords.y + 0.5);\\n dist = min(abs(wrap(coords.x)), abs(wrap(coords.y))) / SQRT2 - halfwidth;\\n }\\n else if (hatch_pattern == hatch_right_diagonal_dash) {\\n float across = coords.x + coords.y + 0.5;\\n dist = abs(wrap(across)) / SQRT2; // Distance to nearest solid line.\\n\\n across = floor(across); // Offset for dash.\\n float along = wrap(0.5*(coords.x - coords.y + across));\\n const float halflength = 0.25;\\n along = abs(along) - halflength; // Distance along line.\\n\\n dist = max(dist, along) - halfwidth;\\n }\\n else if (hatch_pattern == hatch_left_diagonal_dash) {\\n float across = coords.x - coords.y + 0.5;\\n dist = abs(wrap(across)) / SQRT2; // Distance to nearest solid line.\\n\\n across = floor(across); // Offset for dash.\\n float along = wrap(0.5*(coords.x + coords.y + across));\\n const float halflength = 0.25;\\n along = abs(along) - halflength; // Distance along line.\\n\\n dist = max(dist, along) - halfwidth;\\n }\\n else if (hatch_pattern == hatch_horizontal_wave) {\\n float wrapx = wrap(coords.x);\\n float wrapy = wrap(coords.y - 0.25 + abs(wrapx));\\n dist = abs(wrapy) / SQRT2 - halfwidth;\\n }\\n else if (hatch_pattern == hatch_vertical_wave) {\\n float wrapy = wrap(coords.y);\\n float wrapx = wrap(coords.x - 0.25 + abs(wrapy));\\n dist = abs(wrapx) / SQRT2 - halfwidth;\\n }\\n else if (hatch_pattern == hatch_criss_cross) {\\n float plus = min(abs(wrap(coords.x)), abs(wrap(coords.y)));\\n\\n coords = vec2(coords.x + coords.y + 0.5, coords.x - coords.y + 0.5);\\n float X = min(abs(wrap(coords.x)), abs(wrap(coords.y))) / SQRT2;\\n\\n dist = min(plus, X) - halfwidth;\\n }\\n\\n return distance_to_fraction(dist*scale);\\n}\\n#endif\\n\\nvoid main()\\n{\\n int line_cap = int(v_line_cap + 0.5);\\n int line_join = int(v_line_join + 0.5);\\n#ifdef HATCH\\n int hatch_pattern = int(v_hatch_pattern + 0.5);\\n#endif\\n\\n float dist = marker_distance(v_coords, line_cap, line_join);\\n\\n#ifdef LINE_ONLY\\n vec4 color = vec4(0.0, 0.0, 0.0, 0.0);\\n#else\\n float fill_frac = fill_fraction(dist);\\n vec4 color = fractional_color(v_fill_color, fill_frac);\\n#endif\\n\\n#if defined(HATCH) && !defined(LINE_ONLY)\\n if (hatch_pattern > 0 && fill_frac > 0.0) {\\n float hatch_frac = hatch_fraction(v_hatch_coords, hatch_pattern);\\n vec4 hatch_color = fractional_color(v_hatch_color, hatch_frac*fill_frac);\\n color = blend_colors(hatch_color, color);\\n }\\n#endif\\n\\n float line_frac = line_fraction(dist);\\n\\n#ifdef APPEND_DOT\\n line_frac = max(line_frac, dot_fraction(v_coords));\\n#endif\\n#ifdef APPEND_CROSS\\n line_frac = max(line_frac, line_fraction(one_cross(v_coords, line_cap, 0.5*v_size.x)));\\n#endif\\n#ifdef APPEND_CROSS_2\\n vec2 lengths = vec2(v_size.x/3.0, v_size.x/2.0);\\n line_frac = max(line_frac, line_fraction(one_cross_2(v_coords, line_cap, lengths)));\\n#endif\\n#ifdef APPEND_X\\n vec2 p = vec2((v_coords.x + v_coords.y)/SQRT2, (v_coords.x - v_coords.y)/SQRT2);\\n line_frac = max(line_frac, line_fraction(one_cross(p, line_cap, APPEND_X_LEN)));\\n#endif\\n#ifdef APPEND_Y\\n line_frac = max(line_frac, line_fraction(one_y(v_coords, line_cap, 0.5*v_size.x)));\\n#endif\\n\\n if (line_frac > 0.0) {\\n vec4 line_color = fractional_color(v_line_color, line_frac);\\n color = blend_colors(line_color, color);\\n }\\n\\n gl_FragColor = color;\\n}\\n\"},\n 419: function _(t,_,i,h,e){h();const s=t(420),a=t(421),r=t(422);class l extends s.BaseGLGlyph{constructor(t,_){super(t,_),this.glyph=_,this._antialias=1.5,this._show_all=!1}_draw_one_marker_type(t,_,i){const h={scissor:this.regl_wrapper.scissor,viewport:this.regl_wrapper.viewport,canvas_size:[_.width,_.height],pixel_ratio:_.pixel_ratio,center:i._centers,width:i._widths,height:i._heights,angle:i._angles,size_hint:(0,r.marker_type_to_size_hint)(t),nmarkers:i.nvertices,antialias:this._antialias,linewidth:this._linewidths,line_color:this._line_rgba,fill_color:this._fill_rgba,line_cap:this._line_caps,line_join:this._line_joins,show:this._show};if(this._have_hatch){const _=Object.assign(Object.assign({},h),{hatch_pattern:this._hatch_patterns,hatch_scale:this._hatch_scales,hatch_weight:this._hatch_weights,hatch_color:this._hatch_rgba});this.regl_wrapper.marker_hatch(t)(_)}else this.regl_wrapper.marker_no_hatch(t)(h)}_set_visuals(){const t=this._get_visuals(),_=t.fill,i=t.line;if(null==this._linewidths&&(this._linewidths=new a.Float32Buffer(this.regl_wrapper),this._line_caps=new a.Uint8Buffer(this.regl_wrapper),this._line_joins=new a.Uint8Buffer(this.regl_wrapper),this._line_rgba=new a.NormalizedUint8Buffer(this.regl_wrapper),this._fill_rgba=new a.NormalizedUint8Buffer(this.regl_wrapper)),this._linewidths.set_from_prop(i.line_width),this._line_caps.set_from_line_cap(i.line_cap),this._line_joins.set_from_line_join(i.line_join),this._line_rgba.set_from_color(i.line_color,i.line_alpha),this._fill_rgba.set_from_color(_.fill_color,_.fill_alpha),this._have_hatch=t.hatch.doit,this._have_hatch){const _=t.hatch;null==this._hatch_patterns&&(this._hatch_patterns=new a.Uint8Buffer(this.regl_wrapper),this._hatch_scales=new a.Float32Buffer(this.regl_wrapper),this._hatch_weights=new a.Float32Buffer(this.regl_wrapper),this._hatch_rgba=new a.NormalizedUint8Buffer(this.regl_wrapper)),this._hatch_patterns.set_from_hatch_pattern(_.hatch_pattern),this._hatch_scales.set_from_prop(_.hatch_scale),this._hatch_weights.set_from_prop(_.hatch_weight),this._hatch_rgba.set_from_color(_.hatch_color,_.hatch_alpha)}}}i.BaseMarkerGL=l,l.__name__=\"BaseMarkerGL\",l.missing_point=-1e4},\n 420: function _(e,t,s,i,h){i();class a{constructor(e,t){this.glyph=t,this.nvertices=0,this.size_changed=!1,this.data_changed=!1,this.visuals_changed=!1,this.regl_wrapper=e}set_data_changed(){const{data_size:e}=this.glyph;e!=this.nvertices&&(this.nvertices=e,this.size_changed=!0),this.data_changed=!0}set_visuals_changed(){this.visuals_changed=!0}render(e,t,s){if(0==t.length)return!0;const{width:i,height:h}=this.glyph.renderer.plot_view.canvas_view.webgl.canvas,a={pixel_ratio:this.glyph.renderer.plot_view.canvas_view.pixel_ratio,width:i,height:h};return this.draw(t,s,a),!0}}s.BaseGLGlyph=a,a.__name__=\"BaseGLGlyph\"},\n 421: function _(r,t,a,e,s){e();const i=r(422),_=r(22);class n{constructor(r){this.regl_wrapper=r,this.is_scalar=!0}get_sized_array(r){return null!=this.array&&this.array.length==r||(this.array=this.new_array(r)),this.array}is_normalized(){return!1}get length(){return null!=this.array?this.array.length:0}set_from_array(r){const t=r.length,a=this.get_sized_array(t);for(let e=0;e0}_set_data(){const s=this.glyph.sx.length,i=s-1;this._is_closed=s>2&&this.glyph.sx[0]==this.glyph.sx[s-1]&&this.glyph.sy[0]==this.glyph.sy[s-1]&&isFinite(this.glyph.sx[0])&&isFinite(this.glyph.sy[0]),null==this._points&&(this._points=new o.Float32Buffer(this.regl_wrapper));const t=this._points.get_sized_array(2*(s+2));for(let i=1;is/255)),this._linewidth=s.line_width.value,this._linewidth<1&&(this._color[3]*=this._linewidth,this._linewidth=1),this._line_dash=(0,a.resolve_line_dash)(s.line_dash.value),this._is_dashed()&&([this._dash_tex_info,this._dash_tex,this._dash_scale]=this.regl_wrapper.get_dash(this._line_dash),this._dash_offset=s.line_dash_offset.value)}}t.LineGL=r,r.__name__=\"LineGL\"},\n 427: function _(s,t,i,e,r){e();const h=s(421),a=s(424);class n extends a.SingleMarkerGL{constructor(s,t){super(s,t),this.glyph=t}draw(s,t,i){this._draw_impl(s,i,t.glglyph,\"square\")}_get_visuals(){return this.glyph.visuals}_set_data(){const s=this.nvertices;null==this._centers&&(this._centers=new h.Float32Buffer(this.regl_wrapper),this._widths=new h.Float32Buffer(this.regl_wrapper),this._heights=new h.Float32Buffer(this.regl_wrapper),this._angles=new h.Float32Buffer(this.regl_wrapper),this._angles.set_from_scalar(0));const t=this._centers.get_sized_array(2*s),i=this._heights.get_sized_array(s),e=this._widths.get_sized_array(s);for(let r=0;r1||s.length<_){this._show_all=!1,n.fill(0),r=0;for(const e of s)1!=h&&i._marker_types.get(e)!=t||(n[e]=255,r++)}else this._show_all&&a==_||(this._show_all=!0,n.fill(255));this._show.update(),0!=r&&this._draw_one_marker_type(t,e,i)}}_get_visuals(){return this.glyph.visuals}_set_data(){const s=this.nvertices;null==this._centers&&(this._centers=new r.Float32Buffer(this.regl_wrapper),this._widths=new r.Float32Buffer(this.regl_wrapper),this._heights=this._widths,this._angles=new r.Float32Buffer(this.regl_wrapper));const t=this._centers.get_sized_array(2*s);for(let e=0;ethis.render()))}remove(){null!=this.icon_view&&this.icon_view.remove(),super.remove()}styles(){return[...super.styles(),d.default]}_render_button(...t){return(0,c.button)({type:\"button\",disabled:this.model.disabled,class:[h.btn,h[`btn_${this.model.button_type}`]]},...t)}render(){super.render(),this.button_el=this._render_button(this.model.label),this.button_el.addEventListener(\"click\",(()=>this.click())),null!=this.icon_view&&(\"\"!=this.model.label?(0,c.prepend)(this.button_el,this.icon_view.el,(0,c.nbsp)()):(0,c.prepend)(this.button_el,this.icon_view.el),this.icon_view.render()),this.group_el=(0,c.div)({class:h.btn_group},this.button_el),this.el.appendChild(this.group_el)}click(){}}n.AbstractButtonView=b,b.__name__=\"AbstractButtonView\";class p extends _.Control{constructor(t){super(t)}}n.AbstractButton=p,o=p,p.__name__=\"AbstractButton\",o.define((({String:t,Ref:e,Nullable:n})=>({label:[t,\"Button\"],icon:[n(e(a.AbstractIcon)),null],button_type:[r.ButtonType,\"default\"]})))},\n 442: function _(t,e,o,s,n){s();const i=t(512),l=t(43);class c extends i.WidgetView{connect_signals(){super.connect_signals();const t=this.model.properties;this.on_change(t.disabled,(()=>{for(const t of this.controls())(0,l.toggle_attribute)(t,\"disabled\",this.model.disabled)}))}}o.ControlView=c,c.__name__=\"ControlView\";class r extends i.Widget{constructor(t){super(t)}}o.Control=r,r.__name__=\"Control\"},\n 512: function _(i,e,t,n,o){var r;n();const s=i(312);class _ extends s.HTMLBoxView{get orientation(){return\"horizontal\"}get default_size(){return this.model.default_size}_width_policy(){return\"horizontal\"==this.orientation?super._width_policy():\"fixed\"}_height_policy(){return\"horizontal\"==this.orientation?\"fixed\":super._height_policy()}box_sizing(){const i=super.box_sizing();return\"horizontal\"==this.orientation?null==i.width&&(i.width=this.default_size):null==i.height&&(i.height=this.default_size),i}}t.WidgetView=_,_.__name__=\"WidgetView\";class h extends s.HTMLBox{constructor(i){super(i)}}t.Widget=h,r=h,h.__name__=\"Widget\",r.define((({Number:i})=>({default_size:[i,300]}))),r.override({margin:[5,5,5,5]})},\n 444: function _(c,t,s,n,e){n();const o=c(53),_=c(226);class a extends _.DOMView{}s.AbstractIconView=a,a.__name__=\"AbstractIconView\";class r extends o.Model{constructor(c){super(c)}}s.AbstractIcon=r,r.__name__=\"AbstractIcon\"},\n 445: function _(e,t,n,s,i){s();const h=e(1);var o;const _=e(446),u=e(43),r=e(10),c=(0,h.__importStar)(e(229)),a=c;class l extends _.TextInputView{constructor(){super(...arguments),this._open=!1,this._last_value=\"\",this._hover_index=0}styles(){return[...super.styles(),c.default]}render(){super.render(),this.input_el.addEventListener(\"keydown\",(e=>this._keydown(e))),this.input_el.addEventListener(\"keyup\",(e=>this._keyup(e))),this.menu=(0,u.div)({class:[a.menu,a.below]}),this.menu.addEventListener(\"click\",(e=>this._menu_click(e))),this.menu.addEventListener(\"mouseover\",(e=>this._menu_hover(e))),this.el.appendChild(this.menu),(0,u.undisplay)(this.menu)}change_input(){this._open&&this.menu.children.length>0?(this.model.value=this.menu.children[this._hover_index].textContent,this.input_el.focus(),this._hide_menu()):this.model.restrict||super.change_input()}_update_completions(e){(0,u.empty)(this.menu);for(const t of e){const e=(0,u.div)(t);this.menu.appendChild(e)}e.length>0&&this.menu.children[0].classList.add(a.active)}_show_menu(){if(!this._open){this._open=!0,this._hover_index=0,this._last_value=this.model.value,(0,u.display)(this.menu);const e=t=>{const{target:n}=t;n instanceof HTMLElement&&!this.el.contains(n)&&(document.removeEventListener(\"click\",e),this._hide_menu())};document.addEventListener(\"click\",e)}}_hide_menu(){this._open&&(this._open=!1,(0,u.undisplay)(this.menu))}_menu_click(e){e.target!=e.currentTarget&&e.target instanceof Element&&(this.model.value=e.target.textContent,this.input_el.focus(),this._hide_menu())}_menu_hover(e){if(e.target!=e.currentTarget&&e.target instanceof Element){let t=0;for(t=0;t0&&(this.menu.children[this._hover_index].classList.remove(a.active),this._hover_index=(0,r.clamp)(e,0,t-1),this.menu.children[this._hover_index].classList.add(a.active))}_keydown(e){}_keyup(e){switch(e.keyCode){case u.Keys.Enter:this.change_input();break;case u.Keys.Esc:this._hide_menu();break;case u.Keys.Up:this._bump_hover(this._hover_index-1);break;case u.Keys.Down:this._bump_hover(this._hover_index+1);break;default:{const e=this.input_el.value;if(e.lengthe:e=>e.toLowerCase();for(const n of this.model.completions)s(n).startsWith(s(e))&&t.push(n);this._update_completions(t),0==t.length?this._hide_menu():this._show_menu()}}}}n.AutocompleteInputView=l,l.__name__=\"AutocompleteInputView\";class d extends _.TextInput{constructor(e){super(e)}}n.AutocompleteInput=d,o=d,d.__name__=\"AutocompleteInput\",o.prototype.default_view=l,o.define((({Boolean:e,Int:t,String:n,Array:s})=>({completions:[s(n),[]],min_characters:[t,2],case_sensitive:[e,!0],restrict:[e,!0]})))},\n 446: function _(t,e,n,p,_){p();const u=t(1);var i;const s=t(447),r=t(43),x=(0,u.__importStar)(t(449));class a extends s.TextLikeInputView{_render_input(){this.input_el=(0,r.input)({type:\"text\",class:x.input})}}n.TextInputView=a,a.__name__=\"TextInputView\";class c extends s.TextLikeInput{constructor(t){super(t)}}n.TextInput=c,i=c,c.__name__=\"TextInput\",i.prototype.default_view=a},\n 447: function _(e,t,n,i,l){var s;i();const h=e(448);class a extends h.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.name.change,(()=>{var e;return this.input_el.name=null!==(e=this.model.name)&&void 0!==e?e:\"\"})),this.connect(this.model.properties.value.change,(()=>this.input_el.value=this.model.value)),this.connect(this.model.properties.value_input.change,(()=>this.input_el.value=this.model.value_input)),this.connect(this.model.properties.disabled.change,(()=>this.input_el.disabled=this.model.disabled)),this.connect(this.model.properties.placeholder.change,(()=>this.input_el.placeholder=this.model.placeholder)),this.connect(this.model.properties.max_length.change,(()=>{const{max_length:e}=this.model;null!=e?this.input_el.maxLength=e:this.input_el.removeAttribute(\"maxLength\")}))}render(){var e;super.render(),this._render_input();const{input_el:t}=this;t.name=null!==(e=this.model.name)&&void 0!==e?e:\"\",t.value=this.model.value,t.disabled=this.model.disabled,t.placeholder=this.model.placeholder,null!=this.model.max_length&&(t.maxLength=this.model.max_length),t.addEventListener(\"change\",(()=>this.change_input())),t.addEventListener(\"input\",(()=>this.change_input_value())),this.group_el.appendChild(t)}change_input(){this.model.value=this.input_el.value,super.change_input()}change_input_value(){this.model.value_input=this.input_el.value,super.change_input()}}n.TextLikeInputView=a,a.__name__=\"TextLikeInputView\";class u extends h.InputWidget{constructor(e){super(e)}}n.TextLikeInput=u,s=u,u.__name__=\"TextLikeInput\",s.define((({Int:e,String:t,Nullable:n})=>({value:[t,\"\"],value_input:[t,\"\"],placeholder:[t,\"\"],max_length:[n(e),null]})))},\n 448: function _(e,t,n,s,l){s();const i=e(1);var o;const r=e(442),_=e(43),p=(0,i.__importStar)(e(449)),a=p;class c extends r.ControlView{*controls(){yield this.input_el}connect_signals(){super.connect_signals(),this.connect(this.model.properties.title.change,(()=>{this.label_el.textContent=this.model.title}))}styles(){return[...super.styles(),p.default]}render(){super.render();const{title:e}=this.model;this.label_el=(0,_.label)({style:{display:0==e.length?\"none\":\"\"}},e),this.group_el=(0,_.div)({class:a.input_group},this.label_el),this.el.appendChild(this.group_el)}change_input(){}}n.InputWidgetView=c,c.__name__=\"InputWidgetView\";class d extends r.Control{constructor(e){super(e)}}n.InputWidget=d,o=d,d.__name__=\"InputWidget\",o.define((({String:e})=>({title:[e,\"\"]})))},\n 449: function _(o,p,t,n,i){n(),t.root=\"bk-root\",t.input=\"bk-input\",t.input_group=\"bk-input-group\",t.inline=\"bk-inline\",t.spin_wrapper=\"bk-spin-wrapper\",t.spin_btn=\"bk-spin-btn\",t.spin_btn_up=\"bk-spin-btn-up\",t.spin_btn_down=\"bk-spin-btn-down\",t.default='.bk-root .bk-input{display:inline-block;width:100%;flex-grow:1;min-height:31px;padding:0 12px;background-color:#fff;border:1px solid #ccc;border-radius:4px;}.bk-root .bk-input:focus{border-color:#66afe9;outline:0;box-shadow:inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 8px rgba(102, 175, 233, 0.6);}.bk-root .bk-input::placeholder,.bk-root .bk-input:-ms-input-placeholder,.bk-root .bk-input::-moz-placeholder,.bk-root .bk-input::-webkit-input-placeholder{color:#999;opacity:1;}.bk-root .bk-input[disabled]{cursor:not-allowed;background-color:#eee;opacity:1;}.bk-root select:not([multiple]).bk-input,.bk-root select:not([size]).bk-input{height:auto;appearance:none;-webkit-appearance:none;background-image:url(\\'data:image/svg+xml;utf8,\\');background-position:right 0.5em center;background-size:8px 6px;background-repeat:no-repeat;}.bk-root select[multiple].bk-input,.bk-root select[size].bk-input,.bk-root textarea.bk-input{height:auto;}.bk-root .bk-input-group{width:100%;height:100%;display:inline-flex;flex-wrap:nowrap;align-items:start;flex-direction:column;white-space:nowrap;}.bk-root .bk-input-group.bk-inline{flex-direction:row;}.bk-root .bk-input-group.bk-inline > *:not(:first-child){margin-left:5px;}.bk-root .bk-input-group input[type=\"checkbox\"] + span,.bk-root .bk-input-group input[type=\"radio\"] + span{position:relative;top:-2px;margin-left:3px;}.bk-root .bk-input-group > .bk-spin-wrapper{display:inherit;width:inherit;height:inherit;position:relative;overflow:hidden;padding:0;vertical-align:middle;}.bk-root .bk-input-group > .bk-spin-wrapper input{padding-right:20px;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn{position:absolute;display:block;height:50%;min-height:0;min-width:0;width:30px;padding:0;margin:0;right:0;border:none;background:none;cursor:pointer;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn:before{content:\"\";display:inline-block;transform:translateY(-50%);border-left:5px solid transparent;border-right:5px solid transparent;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn.bk-spin-btn-up{top:0;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn.bk-spin-btn-up:before{border-bottom:5px solid black;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn.bk-spin-btn-up:disabled:before{border-bottom-color:grey;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn.bk-spin-btn-down{bottom:0;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn.bk-spin-btn-down:before{border-top:5px solid black;}.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn.bk-spin-btn-down:disabled:before{border-top-color:grey;}'},\n 450: function _(t,e,n,o,c){var s;o();const u=t(441),r=t(251);class i extends u.AbstractButtonView{click(){this.model.trigger_event(new r.ButtonClick),super.click()}}n.ButtonView=i,i.__name__=\"ButtonView\";class _ extends u.AbstractButton{constructor(t){super(t)}}n.Button=_,s=_,_.__name__=\"Button\",s.prototype.default_view=i,s.override({label:\"Button\"})},\n 451: function _(t,e,o,c,a){c();const s=t(1);var n;const i=t(452),r=t(43),u=(0,s.__importStar)(t(318));class _ extends i.ButtonGroupView{get active(){return new Set(this.model.active)}change_active(t){const{active:e}=this;e.has(t)?e.delete(t):e.add(t),this.model.active=[...e].sort()}_update_active(){const{active:t}=this;this._buttons.forEach(((e,o)=>{(0,r.classes)(e).toggle(u.active,t.has(o))}))}}o.CheckboxButtonGroupView=_,_.__name__=\"CheckboxButtonGroupView\";class h extends i.ButtonGroup{constructor(t){super(t)}}o.CheckboxButtonGroup=h,n=h,h.__name__=\"CheckboxButtonGroup\",n.prototype.default_view=_,n.define((({Int:t,Array:e})=>({active:[e(t),[]]})))},\n 452: function _(t,e,n,s,i){s();const o=t(1);var r;const a=t(453),l=t(20),d=t(43),u=(0,o.__importStar)(t(318)),_=u;class c extends a.OrientedControlView{get default_size(){return\"horizontal\"==this.orientation?this.model.default_size:void 0}*controls(){yield*this._buttons}connect_signals(){super.connect_signals();const t=this.model.properties;this.on_change(t.button_type,(()=>this.render())),this.on_change(t.labels,(()=>this.render())),this.on_change(t.active,(()=>this._update_active()))}styles(){return[...super.styles(),u.default]}render(){super.render(),this._buttons=this.model.labels.map(((t,e)=>{const n=(0,d.div)({class:[_.btn,_[`btn_${this.model.button_type}`]],disabled:this.model.disabled},t);return n.addEventListener(\"click\",(()=>this.change_active(e))),n})),this._update_active();const t=\"horizontal\"==this.model.orientation?_.horizontal:_.vertical,e=(0,d.div)({class:[_.btn_group,t]},this._buttons);this.el.appendChild(e)}}n.ButtonGroupView=c,c.__name__=\"ButtonGroupView\";class h extends a.OrientedControl{constructor(t){super(t)}}n.ButtonGroup=h,r=h,h.__name__=\"ButtonGroup\",r.define((({String:t,Array:e})=>({labels:[e(t),[]],button_type:[l.ButtonType,\"default\"]})))},\n 453: function _(n,t,e,o,r){var i;o();const a=n(442),l=n(20);class s extends a.ControlView{get orientation(){return this.model.orientation}}e.OrientedControlView=s,s.__name__=\"OrientedControlView\";class _ extends a.Control{constructor(n){super(n)}}e.OrientedControl=_,i=_,_.__name__=\"OrientedControl\",i.define((()=>({orientation:[l.Orientation,\"horizontal\"]})))},\n 454: function _(e,t,n,i,s){i();const o=e(1);var a;const c=e(455),l=e(43),d=e(9),p=(0,o.__importStar)(e(449));class r extends c.InputGroupView{render(){super.render();const e=(0,l.div)({class:[p.input_group,this.model.inline?p.inline:null]});this.el.appendChild(e);const{active:t,labels:n}=this.model;this._inputs=[];for(let i=0;ithis.change_active(i))),this._inputs.push(s),this.model.disabled&&(s.disabled=!0),(0,d.includes)(t,i)&&(s.checked=!0);const o=(0,l.label)(s,(0,l.span)(n[i]));e.appendChild(o)}}change_active(e){const t=new Set(this.model.active);t.has(e)?t.delete(e):t.add(e),this.model.active=[...t].sort()}}n.CheckboxGroupView=r,r.__name__=\"CheckboxGroupView\";class h extends c.InputGroup{constructor(e){super(e)}}n.CheckboxGroup=h,a=h,h.__name__=\"CheckboxGroup\",a.prototype.default_view=r,a.define((({Boolean:e,Int:t,String:n,Array:i})=>({active:[i(t),[]],labels:[i(n),[]],inline:[e,!1]})))},\n 455: function _(n,t,e,s,o){s();const r=n(1),u=n(442),c=(0,r.__importDefault)(n(449));class _ extends u.ControlView{*controls(){yield*this._inputs}connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.render()))}styles(){return[...super.styles(),c.default]}}e.InputGroupView=_,_.__name__=\"InputGroupView\";class i extends u.Control{constructor(n){super(n)}}e.InputGroup=i,i.__name__=\"InputGroup\"},\n 456: function _(e,t,i,n,o){n();const s=e(1);var l;const r=e(448),c=e(43),a=e(22),d=(0,s.__importStar)(e(449));class h extends r.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.name.change,(()=>{var e;return this.input_el.name=null!==(e=this.model.name)&&void 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n=g(e),t=V(n),a=n===w.input||n===w.altInput||w.element.contains(n)||e.path&&e.path.indexOf&&(~e.path.indexOf(w.input)||~e.path.indexOf(w.altInput)),i=\"blur\"===e.type?a&&e.relatedTarget&&!V(e.relatedTarget):!a&&!t&&!V(e.relatedTarget),o=!w.config.ignoredFocusElements.some((function(e){return e.contains(n)}));i&&o&&(void 0!==w.timeContainer&&void 0!==w.minuteElement&&void 0!==w.hourElement&&\"\"!==w.input.value&&void 0!==w.input.value&&T(),w.close(),w.config&&\"range\"===w.config.mode&&1===w.selectedDates.length&&(w.clear(!1),w.redraw()))}}function Q(e){if(!(!e||w.config.minDate&&ew.config.maxDate.getFullYear())){var n=e,t=w.currentYear!==n;w.currentYear=n||w.currentYear,w.config.maxDate&&w.currentYear===w.config.maxDate.getFullYear()?w.currentMonth=Math.min(w.config.maxDate.getMonth(),w.currentMonth):w.config.minDate&&w.currentYear===w.config.minDate.getFullYear()&&(w.currentMonth=Math.max(w.config.minDate.getMonth(),w.currentMonth)),t&&(w.redraw(),pe(\"onYearChange\"),K())}}function X(e,n){void 0===n&&(n=!0);var t=w.parseDate(e,void 0,n);if(w.config.minDate&&t&&M(t,w.config.minDate,void 0!==n?n:!w.minDateHasTime)<0||w.config.maxDate&&t&&M(t,w.config.maxDate,void 0!==n?n:!w.maxDateHasTime)>0)return!1;if(0===w.config.enable.length&&0===w.config.disable.length)return!0;if(void 0===t)return!1;for(var a=w.config.enable.length>0,i=a?w.config.enable:w.config.disable,o=0,r=void 0;o=r.from.getTime()&&t.getTime()<=r.to.getTime())return a}return!a}function ee(e){return void 0!==w.daysContainer&&-1===e.className.indexOf(\"hidden\")&&-1===e.className.indexOf(\"flatpickr-disabled\")&&w.daysContainer.contains(e)}function ne(e){e.target!==w._input||e.relatedTarget&&V(e.relatedTarget)||w.setDate(w._input.value,!0,e.target===w.altInput?w.config.altFormat:w.config.dateFormat)}function te(e){var n=g(e),t=w.config.wrap?p.contains(n):n===w._input,a=w.config.allowInput,i=w.isOpen&&(!a||!t),o=w.config.inline&&t&&!a;if(13===e.keyCode&&t){if(a)return w.setDate(w._input.value,!0,n===w.altInput?w.config.altFormat:w.config.dateFormat),n.blur();w.open()}else if(V(n)||i||o){var r=!!w.timeContainer&&w.timeContainer.contains(n);switch(e.keyCode){case 13:r?(e.preventDefault(),T(),se()):ue(e);break;case 27:e.preventDefault(),se();break;case 8:case 46:t&&!w.config.allowInput&&(e.preventDefault(),w.clear());break;case 37:case 39:if(r||t)w.hourElement&&w.hourElement.focus();else if(e.preventDefault(),void 0!==w.daysContainer&&(!1===a||document.activeElement&&ee(document.activeElement))){var l=39===e.keyCode?1:-1;e.ctrlKey?(e.stopPropagation(),G(l),R(W(1),0)):R(void 0,l)}break;case 38:case 40:e.preventDefault();var c=40===e.keyCode?1:-1;w.daysContainer&&void 0!==n.$i||n===w.input||n===w.altInput?e.ctrlKey?(e.stopPropagation(),Q(w.currentYear-c),R(W(1),0)):r||R(void 0,7*c):n===w.currentYearElement?Q(w.currentYear-c):w.config.enableTime&&(!r&&w.hourElement&&w.hourElement.focus(),T(e),w._debouncedChange());break;case 9:if(r){var 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re(){return w.config.wrap?p.querySelector(\"[data-input]\"):p}function le(){\"object\"!=typeof w.config.locale&&void 0===k.l10ns[w.config.locale]&&w.config.errorHandler(new Error(\"flatpickr: invalid locale \"+w.config.locale)),w.l10n=e(e({},k.l10ns.default),\"object\"==typeof w.config.locale?w.config.locale:\"default\"!==w.config.locale?k.l10ns[w.config.locale]:void 0),D.K=\"(\"+w.l10n.amPM[0]+\"|\"+w.l10n.amPM[1]+\"|\"+w.l10n.amPM[0].toLowerCase()+\"|\"+w.l10n.amPM[1].toLowerCase()+\")\",void 0===e(e({},v),JSON.parse(JSON.stringify(p.dataset||{}))).time_24hr&&void 0===k.defaultConfig.time_24hr&&(w.config.time_24hr=w.l10n.time_24hr),w.formatDate=b(w),w.parseDate=C({config:w.config,l10n:w.l10n})}function ce(e){if(void 0!==w.calendarContainer){pe(\"onPreCalendarPosition\");var n=e||w._positionElement,t=Array.prototype.reduce.call(w.calendarContainer.children,(function(e,n){return e+n.offsetHeight}),0),a=w.calendarContainer.offsetWidth,i=w.config.position.split(\" 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o=ve(a);o?w.selectedDates.splice(parseInt(o),1):w.selectedDates.push(a)}else\"range\"===w.config.mode&&(2===w.selectedDates.length&&w.clear(!1,!1),w.latestSelectedDateObj=a,w.selectedDates.push(a),0!==M(a,w.selectedDates[0],!0)&&w.selectedDates.sort((function(e,n){return e.getTime()-n.getTime()})));if(I(),i){var r=w.currentYear!==a.getFullYear();w.currentYear=a.getFullYear(),w.currentMonth=a.getMonth(),r&&(pe(\"onYearChange\"),K()),pe(\"onMonthChange\")}if(De(),J(),be(),i||\"range\"===w.config.mode||1!==w.config.showMonths?void 0!==w.selectedDateElem&&void 0===w.hourElement&&w.selectedDateElem&&w.selectedDateElem.focus():L(t),void 0!==w.hourElement&&void 0!==w.hourElement&&w.hourElement.focus(),w.config.closeOnSelect){var l=\"single\"===w.config.mode&&!w.config.enableTime,c=\"range\"===w.config.mode&&2===w.selectedDates.length&&!w.config.enableTime;(l||c)&&se()}A()}}w.parseDate=C({config:w.config,l10n:w.l10n}),w._handlers=[],w.pluginElements=[],w.loadedPlugins=[],w._bind=N,w._setHoursFromDate=S,w._positionCalendar=ce,w.changeMonth=G,w.changeYear=Q,w.clear=function(e,n){if(void 0===e&&(e=!0),void 0===n&&(n=!0),w.input.value=\"\",void 0!==w.altInput&&(w.altInput.value=\"\"),void 0!==w.mobileInput&&(w.mobileInput.value=\"\"),w.selectedDates=[],w.latestSelectedDateObj=void 0,!0===n&&(w.currentYear=w._initialDate.getFullYear(),w.currentMonth=w._initialDate.getMonth()),!0===w.config.enableTime){var t=_(),a=t.hours,i=t.minutes,o=t.seconds;O(a,i,o)}w.redraw(),e&&pe(\"onChange\")},w.close=function(){w.isOpen=!1,w.isMobile||(void 0!==w.calendarContainer&&w.calendarContainer.classList.remove(\"open\"),void 0!==w._input&&w._input.classList.remove(\"active\")),pe(\"onClose\")},w._createElement=s,w.destroy=function(){void 0!==w.config&&pe(\"onDestroy\");for(var e=w._handlers.length;e--;){var n=w._handlers[e];n.element.removeEventListener(n.event,n.handler,n.options)}if(w._handlers=[],w.mobileInput)w.mobileInput.parentNode&&w.mobileInput.parentNode.removeChild(w.mobileInput),w.mobileInput=void 0;else if(w.calendarContainer&&w.calendarContainer.parentNode)if(w.config.static&&w.calendarContainer.parentNode){var t=w.calendarContainer.parentNode;if(t.lastChild&&t.removeChild(t.lastChild),t.parentNode){for(;t.firstChild;)t.parentNode.insertBefore(t.firstChild,t);t.parentNode.removeChild(t)}}else w.calendarContainer.parentNode.removeChild(w.calendarContainer);w.altInput&&(w.input.type=\"text\",w.altInput.parentNode&&w.altInput.parentNode.removeChild(w.altInput),delete 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0,n),S(),0===w.selectedDates.length&&w.clear(!1),be(n),n&&pe(\"onChange\")},w.toggle=function(e){if(!0===w.isOpen)return w.close();w.open(e)};var fe={locale:[le,z],showMonths:[q,E,$],minDate:[P],maxDate:[P]};function me(e,n){var t=[];if(e instanceof Array)t=e.map((function(e){return w.parseDate(e,n)}));else if(e instanceof Date||\"number\"==typeof e)t=[w.parseDate(e,n)];else if(\"string\"==typeof e)switch(w.config.mode){case\"single\":case\"time\":t=[w.parseDate(e,n)];break;case\"multiple\":t=e.split(w.config.conjunction).map((function(e){return w.parseDate(e,n)}));break;case\"range\":t=e.split(w.l10n.rangeSeparator).map((function(e){return w.parseDate(e,n)}))}else w.config.errorHandler(new Error(\"Invalid date supplied: \"+JSON.stringify(e)));w.selectedDates=w.config.allowInvalidPreload?t:t.filter((function(e){return e instanceof Date&&X(e,!1)})),\"range\"===w.config.mode&&w.selectedDates.sort((function(e,n){return e.getTime()-n.getTime()}))}function ge(e){return e.slice().map((function(e){return\"string\"==typeof e||\"number\"==typeof e||e instanceof Date?w.parseDate(e,void 0,!0):e&&\"object\"==typeof e&&e.from&&e.to?{from:w.parseDate(e.from,void 0),to:w.parseDate(e.to,void 0)}:e})).filter((function(e){return e}))}function pe(e,n){if(void 0!==w.config){var t=w.config[e];if(void 0!==t&&t.length>0)for(var a=0;t[a]&&a1||\"static\"===w.config.monthSelectorType?w.monthElements[n].textContent=h(t.getMonth(),w.config.shorthandCurrentMonth,w.l10n)+\" \":w.monthsDropdownContainer.value=t.getMonth().toString(),e.value=t.getFullYear().toString()})),w._hidePrevMonthArrow=void 0!==w.config.minDate&&(w.currentYear===w.config.minDate.getFullYear()?w.currentMonth<=w.config.minDate.getMonth():w.currentYearw.config.maxDate.getMonth():w.currentYear>w.config.maxDate.getFullYear()))}function we(e){return w.selectedDates.map((function(n){return w.formatDate(n,e)})).filter((function(e,n,t){return\"range\"!==w.config.mode||w.config.enableTime||t.indexOf(e)===n})).join(\"range\"!==w.config.mode?w.config.conjunction:w.l10n.rangeSeparator)}function be(e){void 0===e&&(e=!0),void 0!==w.mobileInput&&w.mobileFormatStr&&(w.mobileInput.value=void 0!==w.latestSelectedDateObj?w.formatDate(w.latestSelectedDateObj,w.mobileFormatStr):\"\"),w.input.value=we(w.config.dateFormat),void 0!==w.altInput&&(w.altInput.value=we(w.config.altFormat)),!1!==e&&pe(\"onValueUpdate\")}function Ce(e){var n=g(e),t=w.prevMonthNav.contains(n),a=w.nextMonthNav.contains(n);t||a?G(t?-1:1):w.yearElements.indexOf(n)>=0?n.select():n.classList.contains(\"arrowUp\")?w.changeYear(w.currentYear+1):n.classList.contains(\"arrowDown\")&&w.changeYear(w.currentYear-1)}return function(){w.element=w.input=p,w.isOpen=!1,function(){var n=[\"wrap\",\"weekNumbers\",\"allowInput\",\"allowInvalidPreload\",\"clickOpens\",\"time_24hr\",\"enableTime\",\"noCalendar\",\"altInput\",\"shorthandCurrentMonth\",\"inline\",\"static\",\"enableSeconds\",\"disableMobile\"],i=e(e({},JSON.parse(JSON.stringify(p.dataset||{}))),v),o={};w.config.parseDate=i.parseDate,w.config.formatDate=i.formatDate,Object.defineProperty(w.config,\"enable\",{get:function(){return w.config._enable},set:function(e){w.config._enable=ge(e)}}),Object.defineProperty(w.config,\"disable\",{get:function(){return w.config._disable},set:function(e){w.config._disable=ge(e)}});var r=\"time\"===i.mode;if(!i.dateFormat&&(i.enableTime||r)){var l=k.defaultConfig.dateFormat||a.dateFormat;o.dateFormat=i.noCalendar||r?\"H:i\"+(i.enableSeconds?\":S\":\"\"):l+\" H:i\"+(i.enableSeconds?\":S\":\"\")}if(i.altInput&&(i.enableTime||r)&&!i.altFormat){var d=k.defaultConfig.altFormat||a.altFormat;o.altFormat=i.noCalendar||r?\"h:i\"+(i.enableSeconds?\":S K\":\" K\"):d+\" h:i\"+(i.enableSeconds?\":S\":\"\")+\" K\"}Object.defineProperty(w.config,\"minDate\",{get:function(){return w.config._minDate},set:oe(\"min\")}),Object.defineProperty(w.config,\"maxDate\",{get:function(){return w.config._maxDate},set:oe(\"max\")});var s=function(e){return function(n){w.config[\"min\"===e?\"_minTime\":\"_maxTime\"]=w.parseDate(n,\"H:i:S\")}};Object.defineProperty(w.config,\"minTime\",{get:function(){return w.config._minTime},set:s(\"min\")}),Object.defineProperty(w.config,\"maxTime\",{get:function(){return w.config._maxTime},set:s(\"max\")}),\"time\"===i.mode&&(w.config.noCalendar=!0,w.config.enableTime=!0),Object.assign(w.config,o,i);for(var u=0;u-1?w.config[m]=c(f[m]).map(x).concat(w.config[m]):void 0===i[m]&&(w.config[m]=f[m])}i.altInputClass||(w.config.altInputClass=re().className+\" \"+w.config.altInputClass),pe(\"onParseConfig\")}(),le(),w.input=re(),w.input?(w.input._type=w.input.type,w.input.type=\"text\",w.input.classList.add(\"flatpickr-input\"),w._input=w.input,w.config.altInput&&(w.altInput=s(w.input.nodeName,w.config.altInputClass),w._input=w.altInput,w.altInput.placeholder=w.input.placeholder,w.altInput.disabled=w.input.disabled,w.altInput.required=w.input.required,w.altInput.tabIndex=w.input.tabIndex,w.altInput.type=\"text\",w.input.setAttribute(\"type\",\"hidden\"),!w.config.static&&w.input.parentNode&&w.input.parentNode.insertBefore(w.altInput,w.input.nextSibling)),w.config.allowInput||w._input.setAttribute(\"readonly\",\"readonly\"),w._positionElement=w.config.positionElement||w._input):w.config.errorHandler(new Error(\"Invalid input element specified\")),function(){w.selectedDates=[],w.now=w.parseDate(w.config.now)||new Date;var e=w.config.defaultDate||(\"INPUT\"!==w.input.nodeName&&\"TEXTAREA\"!==w.input.nodeName||!w.input.placeholder||w.input.value!==w.input.placeholder?w.input.value:null);e&&me(e,w.config.dateFormat),w._initialDate=w.selectedDates.length>0?w.selectedDates[0]:w.config.minDate&&w.config.minDate.getTime()>w.now.getTime()?w.config.minDate:w.config.maxDate&&w.config.maxDate.getTime()0&&(w.latestSelectedDateObj=w.selectedDates[0]),void 0!==w.config.minTime&&(w.config.minTime=w.parseDate(w.config.minTime,\"H:i\")),void 0!==w.config.maxTime&&(w.config.maxTime=w.parseDate(w.config.maxTime,\"H:i\")),w.minDateHasTime=!!w.config.minDate&&(w.config.minDate.getHours()>0||w.config.minDate.getMinutes()>0||w.config.minDate.getSeconds()>0),w.maxDateHasTime=!!w.config.maxDate&&(w.config.maxDate.getHours()>0||w.config.maxDate.getMinutes()>0||w.config.maxDate.getSeconds()>0)}(),w.utils={getDaysInMonth:function(e,n){return void 0===e&&(e=w.currentMonth),void 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n=0===t.type.indexOf(\"touch\"),i=0===t.type.indexOf(\"mouse\"),o=0===t.type.indexOf(\"pointer\"),s=0,a=0;if(0===t.type.indexOf(\"MSPointer\")&&(o=!0),\"mousedown\"===t.type&&!t.buttons&&!t.touches)return!1;if(n){var l=function(e){var n=e.target;return n===r||r.contains(n)||t.composed&&t.composedPath().shift()===r};if(\"touchstart\"===t.type){var u=Array.prototype.filter.call(t.touches,l);if(u.length>1)return!1;s=u[0].pageX,a=u[0].pageY}else{var c=Array.prototype.find.call(t.changedTouches,l);if(!c)return!1;s=c.pageX,a=c.pageY}}return e=e||h(U),(i||o)&&(s=t.clientX+e.x,a=t.clientY+e.y),t.pageOffset=e,t.points=[s,a],t.cursor=i||o,t}(o,i.pageOffset,i.target||e);return!!l&&!(F()&&!i.doNotReject)&&(s=w,a=r.cssClasses.tap,!((s.classList?s.classList.contains(a):new RegExp(\"\\\\b\"+a+\"\\\\b\").test(s.className))&&!i.doNotReject)&&!(t===x.start&&void 0!==l.buttons&&l.buttons>1)&&(!i.hover||!l.buttons)&&(y||l.preventDefault(),l.calcPoint=l.points[r.ort],void n(l,i)))},s=[];return t.split(\" 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tt(t,e){e.handle&&(d(e.handle,r.cssClasses.active),M-=1),e.listeners.forEach((function(t){D.removeEventListener(t[0],t[1])})),0===M&&(d(w,r.cssClasses.drag),pt(),t.cursor&&(O.style.cursor=\"\",O.removeEventListener(\"selectstart\",s))),e.handleNumbers.forEach((function(t){st(\"change\",t),st(\"set\",t),st(\"end\",t)}))}function et(t,e){if(!e.handleNumbers.some(R)){var n;1===e.handleNumbers.length&&(n=p[e.handleNumbers[0]].children[0],M+=1,f(n,r.cssClasses.active)),t.stopPropagation();var i=[],o=J(x.move,D,Z,{target:t.target,handle:n,connect:e.connect,listeners:i,startCalcPoint:t.calcPoint,baseSize:$(),pageOffset:t.pageOffset,handleNumbers:e.handleNumbers,buttonsProperty:t.buttons,locations:V.slice()}),a=J(x.end,D,tt,{target:t.target,handle:n,listeners:i,doNotReject:!0,handleNumbers:e.handleNumbers}),l=J(\"mouseout\",D,Q,{target:t.target,handle:n,listeners:i,doNotReject:!0,handleNumbers:e.handleNumbers});i.push.apply(i,o.concat(a,l)),t.cursor&&(O.style.cursor=getComputedStyle(t.target).cursor,p.length>1&&f(w,r.cssClasses.drag),O.addEventListener(\"selectstart\",s,!1)),e.handleNumbers.forEach((function(t){st(\"start\",t)}))}}function rt(t){t.stopPropagation();var e=K(t.calcPoint),n=function(t){var e=100,r=!1;return p.forEach((function(n,i){if(!R(i)){var o=V[i],s=Math.abs(o-t);(so||100===s&&100===e)&&(r=i,e=s)}})),r}(e);!1!==n&&(r.events.snap||l(w,r.cssClasses.tap,r.animationDuration),ft(n,e,!0,!0),pt(),st(\"slide\",n,!0),st(\"update\",n,!0),r.events.snap?et(t,{handleNumbers:[n]}):(st(\"change\",n,!0),st(\"set\",n,!0)))}function nt(t){var e=K(t.calcPoint),r=C.getStep(e),n=C.fromStepping(r);Object.keys(A).forEach((function(t){\"hover\"===t.split(\".\")[0]&&A[t].forEach((function(t){t.call(bt,n)}))}))}function it(t,e){A[t]=A[t]||[],A[t].push(e),\"update\"===t.split(\".\")[0]&&p.forEach((function(t,e){st(\"update\",e)}))}function ot(t){var e=t&&t.split(\".\")[0],r=e?t.substring(e.length):t;Object.keys(A).forEach((function(t){var n=t.split(\".\")[0],i=t.substring(n.length);e&&e!==n||r&&r!==i||function(t){return t===P||t===E}(i)&&r!==i||delete A[t]}))}function st(t,e,n){Object.keys(A).forEach((function(i){var o=i.split(\".\")[0];t===o&&A[i].forEach((function(t){t.call(bt,N.map(r.format.to),e,N.slice(),n||!1,V.slice(),bt)}))}))}function at(t,e,n,i,o,s){var a;return p.length>1&&!r.events.unconstrained&&(i&&e>0&&(a=C.getAbsoluteDistance(t[e-1],r.margin,!1),n=Math.max(n,a)),o&&e1&&r.limit&&(i&&e>0&&(a=C.getAbsoluteDistance(t[e-1],r.limit,!1),n=Math.min(n,a)),o&&e1?n.forEach((function(t,r){var n=at(o,t,o[t]+e,a[r],l[r],!1);!1===n?e=0:(e=n-o[t],o[t]=n)})):a=l=[!0];var u=!1;n.forEach((function(t,n){u=ft(t,r[t]+e,a[n],l[n])||u})),u&&(n.forEach((function(t){st(\"update\",t),st(\"slide\",t)})),null!=i&&st(\"drag\",s))}function ct(t,e){return r.dir?100-t-e:t}function pt(){k.forEach((function(t){var e=V[t]>50?-1:1,r=3+(p.length+e*t);p[t].style.zIndex=String(r)}))}function ft(t,e,n,i,o){return o||(e=at(V,t,e,n,i,!1)),!1!==e&&(function(t,e){V[t]=e,N[t]=C.fromStepping(e);var n=\"translate(\"+lt(10*(ct(e,0)-L)+\"%\",\"0\")+\")\";p[t].style[r.transformRule]=n,dt(t),dt(t+1)}(t,e),!0)}function dt(t){if(m[t]){var e=0,n=100;0!==t&&(e=V[t-1]),t!==m.length-1&&(n=V[t]);var 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null!==o&&!1!==o&&(o=Number(o.toFixed(a))),null!==s&&!1!==s&&(s=Number(s.toFixed(a))),[s,o]}f(b=w,r.cssClasses.target),0===r.dir?f(b,r.cssClasses.ltr):f(b,r.cssClasses.rtl),0===r.ort?f(b,r.cssClasses.horizontal):f(b,r.cssClasses.vertical),f(b,\"rtl\"===getComputedStyle(b).direction?r.cssClasses.textDirectionRtl:r.cssClasses.textDirectionLtr),a=T(b,r.cssClasses.base),function(t,e){var n=T(e,r.cssClasses.connects);p=[],(m=[]).push(z(n,t[0]));for(var i=0;i=0&&t .noUi-tooltip{-webkit-transform:translate(50%, 0);transform:translate(50%, 0);left:auto;bottom:10px;}.bk-root .noUi-vertical .noUi-origin > .noUi-tooltip{-webkit-transform:translate(0, -18px);transform:translate(0, -18px);top:auto;right:28px;}.bk-root .noUi-handle{cursor:grab;cursor:-webkit-grab;}.bk-root .noUi-handle.noUi-active{cursor:grabbing;cursor:-webkit-grabbing;}.bk-root .noUi-handle:after,.bk-root .noUi-handle:before{display:none;}.bk-root .noUi-tooltip{display:none;white-space:nowrap;}.bk-root .noUi-handle:hover 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d.AbstractRangeSliderView{}r.DatetimeRangeSliderView=_,_.__name__=\"DatetimeRangeSliderView\";class c extends d.AbstractSlider{constructor(e){super(e),this.behaviour=\"drag\",this.connected=[!1,!0,!1]}_formatter(e,t){return(0,o.isString)(t)?(0,s.default)(e,t):t.compute(e)}}r.DatetimeRangeSlider=c,n=c,c.__name__=\"DatetimeRangeSlider\",n.prototype.default_view=_,n.override({format:\"%d %b %Y %H:%M:%S\",step:36e5})},\n 467: function _(e,t,s,r,i){var _;r();const n=e(468);class a extends n.MarkupView{render(){super.render(),this.model.render_as_text?this.markup_el.textContent=this.model.text:this.markup_el.innerHTML=this.has_math_disabled()?this.model.text:this.process_tex()}}s.DivView=a,a.__name__=\"DivView\";class d extends n.Markup{constructor(e){super(e)}}s.Div=d,_=d,d.__name__=\"Div\",_.prototype.default_view=a,_.define((({Boolean:e})=>({render_as_text:[e,!1]})))},\n 468: function _(t,e,s,i,r){i();const a=t(1);var n;const o=t(210),d=t(43),h=t(137),l=t(512),_=(0,a.__importStar)(t(469));class u extends l.WidgetView{get provider(){return h.default_provider}async lazy_initialize(){await super.lazy_initialize(),\"not_started\"==this.provider.status&&await this.provider.fetch(),\"not_started\"!=this.provider.status&&\"loading\"!=this.provider.status||this.provider.ready.connect((()=>{this.contains_tex_string()&&this.rerender()}))}after_layout(){super.after_layout(),\"loading\"===this.provider.status&&(this._has_finished=!1)}rerender(){this.layout.invalidate_cache(),this.render(),this.root.compute_layout()}connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>{this.rerender()}))}styles(){return[...super.styles(),_.default]}_update_layout(){this.layout=new o.CachedVariadicBox(this.el),this.layout.set_sizing(this.box_sizing())}render(){super.render();const t=Object.assign(Object.assign({},this.model.style),{display:\"inline-block\"});this.markup_el=(0,d.div)({class:_.clearfix,style:t}),this.el.appendChild(this.markup_el),\"failed\"!=this.provider.status&&\"loaded\"!=this.provider.status||(this._has_finished=!0)}has_math_disabled(){return this.model.disable_math||!this.contains_tex_string()}process_tex(){if(!this.provider.MathJax)return this.model.text;const{text:t}=this.model,e=this.provider.MathJax.find_tex(t),s=[];let i=0;for(const r of e)s.push(t.slice(i,r.start.n)),s.push(this.provider.MathJax.tex2svg(r.math,{display:r.display}).outerHTML),i=r.end.n;return i0}}s.MarkupView=u,u.__name__=\"MarkupView\";class p extends l.Widget{constructor(t){super(t)}}s.Markup=p,n=p,p.__name__=\"Markup\",n.define((({Boolean:t,String:e,Dict:s})=>({text:[e,\"\"],style:[s(e),{}],disable_math:[t,!1]})))},\n 469: function _(o,r,e,t,a){t(),e.root=\"bk-root\",e.clearfix=\"bk-clearfix\",e.default='.bk-root .bk-clearfix:before,.bk-root 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n.addEventListener(\"click\",(()=>this._item_click(t))),n}}));this.menu=(0,_.div)({class:[m.menu,m.below]},t),this.el.appendChild(this.menu),(0,_.undisplay)(this.menu)}_show_menu(){if(!this._open){this._open=!0,(0,_.display)(this.menu);const e=t=>{const{target:i}=t;i instanceof HTMLElement&&!this.el.contains(i)&&(document.removeEventListener(\"click\",e),this._hide_menu())};document.addEventListener(\"click\",e)}}_hide_menu(){this._open&&(this._open=!1,(0,_.undisplay)(this.menu))}_toggle_menu(){this._open?this._hide_menu():this._show_menu()}click(){this.model.is_split?(this._hide_menu(),this.model.trigger_event(new d.ButtonClick),super.click()):this._toggle_menu()}_item_click(e){this._hide_menu();const t=this.model.menu[e];if(null!=t){const i=(0,u.isString)(t)?t:t[1];(0,u.isString)(i)?this.model.trigger_event(new d.MenuItemClick(i)):i.execute(this.model,{index:e})}}}i.DropdownView=p,p.__name__=\"DropdownView\";class a extends r.AbstractButton{constructor(e){super(e)}get is_split(){return this.split}}i.Dropdown=a,l=a,a.__name__=\"Dropdown\",l.prototype.default_view=p,l.define((({Null:e,Boolean:t,String:i,Array:n,Tuple:s,Or:o})=>({split:[t,!1],menu:[n(o(i,s(i,o(i)),e)),[]]}))),l.override({label:\"Dropdown\"})},\n 471: function _(e,l,i,t,s){var n;t();const a=e(43),o=e(512);class d extends o.WidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.render()))}render(){const{multiple:e,accept:l,disabled:i,width:t}=this.model;null==this.dialog_el&&(this.dialog_el=(0,a.input)({type:\"file\",multiple:e}),this.dialog_el.onchange=()=>{const{files:e}=this.dialog_el;null!=e&&this.load_files(e)},this.el.appendChild(this.dialog_el)),null!=l&&\"\"!=l&&(this.dialog_el.accept=l),this.dialog_el.style.width=`${t}px`,this.dialog_el.disabled=i}async load_files(e){const l=[],i=[],t=[];for(const s of e){const e=await this._read_file(s),[,n=\"\",,a=\"\"]=e.split(/[:;,]/,4);l.push(a),i.push(s.name),t.push(n)}this.model.multiple?this.model.setv({value:l,filename:i,mime_type:t}):this.model.setv({value:l[0],filename:i[0],mime_type:t[0]})}_read_file(e){return new Promise(((l,i)=>{const t=new FileReader;t.onload=()=>{var s;const{result:n}=t;null!=n?l(n):i(null!==(s=t.error)&&void 0!==s?s:new Error(`unable to read '${e.name}'`))},t.readAsDataURL(e)}))}}i.FileInputView=d,d.__name__=\"FileInputView\";class r extends o.Widget{constructor(e){super(e)}}i.FileInput=r,n=r,r.__name__=\"FileInput\",n.prototype.default_view=d,n.define((({Boolean:e,String:l,Array:i,Or:t})=>({value:[t(l,i(l)),\"\"],mime_type:[t(l,i(l)),\"\"],filename:[t(l,i(l)),\"\"],accept:[l,\"\"],multiple:[e,!1]})))},\n 472: function _(e,t,i,s,n){s();const l=e(1);var o;const r=e(43),c=e(8),h=e(448),p=(0,l.__importStar)(e(449));class d extends h.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.value.change,(()=>this.render_selection())),this.connect(this.model.properties.options.change,(()=>this.render())),this.connect(this.model.properties.name.change,(()=>this.render())),this.connect(this.model.properties.title.change,(()=>this.render())),this.connect(this.model.properties.size.change,(()=>this.render())),this.connect(this.model.properties.disabled.change,(()=>this.render()))}render(){super.render();const e=this.model.options.map((e=>{let t,i;return(0,c.isString)(e)?t=i=e:[t,i]=e,(0,r.option)({value:t},i)}));this.input_el=(0,r.select)({multiple:!0,class:p.input,name:this.model.name,disabled:this.model.disabled},e),this.input_el.addEventListener(\"change\",(()=>this.change_input())),this.group_el.appendChild(this.input_el),this.render_selection()}render_selection(){const e=new Set(this.model.value);for(const t of this.el.querySelectorAll(\"option\"))t.selected=e.has(t.value);this.input_el.size=this.model.size}change_input(){const e=null!=this.el.querySelector(\"select:focus\"),t=[];for(const e of this.el.querySelectorAll(\"option\"))e.selected&&t.push(e.value);this.model.value=t,super.change_input(),e&&this.input_el.focus()}}i.MultiSelectView=d,d.__name__=\"MultiSelectView\";class u extends h.InputWidget{constructor(e){super(e)}}i.MultiSelect=u,o=u,u.__name__=\"MultiSelect\",o.prototype.default_view=d,o.define((({Int:e,String:t,Array:i,Tuple:s,Or:n})=>({value:[i(t),[]],options:[i(n(t,s(t,t))),[]],size:[e,4]})))},\n 473: function _(e,a,r,t,s){var n;t();const p=e(468),_=e(43);class i extends p.MarkupView{render(){super.render();const e=(0,_.p)({style:{margin:0}});this.has_math_disabled()?e.textContent=this.model.text:e.innerHTML=this.process_tex(),this.markup_el.appendChild(e)}}r.ParagraphView=i,i.__name__=\"ParagraphView\";class h extends p.Markup{constructor(e){super(e)}}r.Paragraph=h,n=h,h.__name__=\"Paragraph\",n.prototype.default_view=i},\n 474: function _(e,s,t,n,r){var p;n();const u=e(446);class a extends u.TextInputView{render(){super.render(),this.input_el.type=\"password\"}}t.PasswordInputView=a,a.__name__=\"PasswordInputView\";class o extends u.TextInput{constructor(e){super(e)}}t.PasswordInput=o,p=o,o.__name__=\"PasswordInput\",p.prototype.default_view=a},\n 475: function _(e,t,i,l,s){l();const o=e(1);var n;const h=(0,o.__importDefault)(e(476)),a=e(43),u=e(8),c=e(210),_=(0,o.__importStar)(e(449)),d=(0,o.__importDefault)(e(477)),r=e(448);class m extends r.InputWidgetView{constructor(){super(...arguments),this._last_height=null}connect_signals(){super.connect_signals(),this.connect(this.model.properties.disabled.change,(()=>this.set_disabled()));const{value:e,max_items:t,option_limit:i,search_option_limit:l,delete_button:s,placeholder:o,options:n,name:h,title:a}=this.model.properties;this.on_change([e,t,i,l,s,o,n,h,a],(()=>this.render()))}styles(){return[...super.styles(),d.default]}_update_layout(){this.layout=new c.CachedVariadicBox(this.el),this.layout.set_sizing(this.box_sizing())}render(){super.render(),this.input_el=(0,a.select)({multiple:!0,class:_.input,name:this.model.name,disabled:this.model.disabled}),this.group_el.appendChild(this.input_el);const e=new Set(this.model.value),t=this.model.options.map((t=>{let i,l;return(0,u.isString)(t)?i=l=t:[i,l]=t,{value:i,label:l,selected:e.has(i)}})),i=this.model.solid?\"solid\":\"light\",l=`choices__item ${i}`,s=`choices__button 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this.el.querySelectorAll(\"option\"))e.selected&&t.push(e.value);this.model.value=t,super.change_input(),e&&this.input_el.focus()}}i.MultiChoiceView=m,m.__name__=\"MultiChoiceView\";class p extends r.InputWidget{constructor(e){super(e)}}i.MultiChoice=p,n=p,p.__name__=\"MultiChoice\",n.prototype.default_view=m,n.define((({Boolean:e,Int:t,String:i,Array:l,Tuple:s,Or:o,Nullable:n})=>({value:[l(i),[]],options:[l(o(i,s(i,i))),[]],max_items:[n(t),null],delete_button:[e,!0],placeholder:[n(i),null],option_limit:[n(t),null],search_option_limit:[n(t),null],solid:[e,!0]})))},\n 476: function _(e,t,i,n,s){\n /*! choices.js v9.0.1 | © 2019 Josh Johnson | https://github.com/jshjohnson/Choices#readme */\n var r,o;r=window,o=function(){return function(e){var t={};function i(n){if(t[n])return t[n].exports;var s=t[n]={i:n,l:!1,exports:{}};return e[n].call(s.exports,s,s.exports,i),s.l=!0,s.exports}return i.m=e,i.c=t,i.d=function(e,t,n){i.o(e,t)||Object.defineProperty(e,t,{enumerable:!0,get:n})},i.r=function(e){\"undefined\"!=typeof Symbol&&Symbol.toStringTag&&Object.defineProperty(e,Symbol.toStringTag,{value:\"Module\"}),Object.defineProperty(e,\"__esModule\",{value:!0})},i.t=function(e,t){if(1&t&&(e=i(e)),8&t)return e;if(4&t&&\"object\"==typeof e&&e&&e.__esModule)return e;var n=Object.create(null);if(i.r(n),Object.defineProperty(n,\"default\",{enumerable:!0,value:e}),2&t&&\"string\"!=typeof e)for(var s in e)i.d(n,s,function(t){return e[t]}.bind(null,s));return n},i.n=function(e){var t=e&&e.__esModule?function(){return e.default}:function(){return e};return i.d(t,\"a\",t),t},i.o=function(e,t){return Object.prototype.hasOwnProperty.call(e,t)},i.p=\"/public/assets/scripts/\",i(i.s=4)}([function(e,t,i){\"use strict\";var n=function(e){return function(e){return!!e&&\"object\"==typeof e}(e)&&!function(e){var t=Object.prototype.toString.call(e);return\"[object RegExp]\"===t||\"[object 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Apache Software License 2.0\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n */\n e.exports=function(e){var t={};function i(n){if(t[n])return t[n].exports;var s=t[n]={i:n,l:!1,exports:{}};return e[n].call(s.exports,s,s.exports,i),s.l=!0,s.exports}return i.m=e,i.c=t,i.d=function(e,t,n){i.o(e,t)||Object.defineProperty(e,t,{enumerable:!0,get:n})},i.r=function(e){\"undefined\"!=typeof Symbol&&Symbol.toStringTag&&Object.defineProperty(e,Symbol.toStringTag,{value:\"Module\"}),Object.defineProperty(e,\"__esModule\",{value:!0})},i.t=function(e,t){if(1&t&&(e=i(e)),8&t)return e;if(4&t&&\"object\"==typeof e&&e&&e.__esModule)return e;var n=Object.create(null);if(i.r(n),Object.defineProperty(n,\"default\",{enumerable:!0,value:e}),2&t&&\"string\"!=typeof e)for(var s in e)i.d(n,s,function(t){return e[t]}.bind(null,s));return n},i.n=function(e){var t=e&&e.__esModule?function(){return e.default}:function(){return e};return i.d(t,\"a\",t),t},i.o=function(e,t){return Object.prototype.hasOwnProperty.call(e,t)},i.p=\"\",i(i.s=1)}([function(e,t){e.exports=function(e){return Array.isArray?Array.isArray(e):\"[object Array]\"===Object.prototype.toString.call(e)}},function(e,t,i){function n(e){return(n=\"function\"==typeof Symbol&&\"symbol\"==typeof Symbol.iterator?function(e){return typeof e}:function(e){return e&&\"function\"==typeof Symbol&&e.constructor===Symbol&&e!==Symbol.prototype?\"symbol\":typeof e})(e)}function s(e,t){for(var i=0;i1&&void 0!==arguments[1]?arguments[1]:{limit:!1};this._log('---------\\nSearch pattern: \"'.concat(e,'\"'));var i=this._prepareSearchers(e),n=i.tokenSearchers,s=i.fullSearcher,r=this._search(n,s),o=r.weights,a=r.results;return this._computeScore(o,a),this.options.shouldSort&&this._sort(a),t.limit&&\"number\"==typeof t.limit&&(a=a.slice(0,t.limit)),this._format(a)}},{key:\"_prepareSearchers\",value:function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:\"\",t=[];if(this.options.tokenize)for(var i=e.split(this.options.tokenSeparator),n=0,s=i.length;n0&&void 0!==arguments[0]?arguments[0]:[],t=arguments.length>1?arguments[1]:void 0,i=this.list,n={},s=[];if(\"string\"==typeof i[0]){for(var r=0,o=i.length;r1)throw new Error(\"Key weight has to be > 0 and <= 1\");p=p.name}else a[p]={weight:1};this._analyze({key:p,value:this.options.getFn(h,p),record:h,index:c},{resultMap:n,results:s,tokenSearchers:e,fullSearcher:t})}return{weights:a,results:s}}},{key:\"_analyze\",value:function(e,t){var i=e.key,n=e.arrayIndex,s=void 0===n?-1:n,r=e.value,o=e.record,c=e.index,l=t.tokenSearchers,h=void 0===l?[]:l,u=t.fullSearcher,d=void 0===u?[]:u,p=t.resultMap,m=void 0===p?{}:p,f=t.results,v=void 0===f?[]:f;if(null!=r){var g=!1,_=-1,b=0;if(\"string\"==typeof r){this._log(\"\\nKey: \".concat(\"\"===i?\"-\":i));var y=d.search(r);if(this._log('Full text: \"'.concat(r,'\", score: ').concat(y.score)),this.options.tokenize){for(var E=r.split(this.options.tokenSeparator),I=[],S=0;S-1&&(P=(P+_)/2),this._log(\"Score average:\",P);var D=!this.options.tokenize||!this.options.matchAllTokens||b>=h.length;if(this._log(\"\\nCheck Matches: \".concat(D)),(g||y.isMatch)&&D){var M=m[c];M?M.output.push({key:i,arrayIndex:s,value:r,score:P,matchedIndices:y.matchedIndices}):(m[c]={item:o,output:[{key:i,arrayIndex:s,value:r,score:P,matchedIndices:y.matchedIndices}]},v.push(m[c]))}}else if(a(r))for(var N=0,F=r.length;N-1&&(o.arrayIndex=r.arrayIndex),t.matches.push(o)}}})),this.options.includeScore&&s.push((function(e,t){t.score=e.score}));for(var r=0,o=e.length;ri)return s(e,this.pattern,n);var o=this.options,a=o.location,c=o.distance,l=o.threshold,h=o.findAllMatches,u=o.minMatchCharLength;return r(e,this.pattern,this.patternAlphabet,{location:a,distance:c,threshold:l,findAllMatches:h,minMatchCharLength:u})}}])&&n(t.prototype,i),a&&n(t,a),e}();e.exports=a},function(e,t){var i=/[\\-\\[\\]\\/\\{\\}\\(\\)\\*\\+\\?\\.\\\\\\^\\$\\|]/g;e.exports=function(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:/ +/g,s=new RegExp(t.replace(i,\"\\\\$&\").replace(n,\"|\")),r=e.match(s),o=!!r,a=[];if(o)for(var c=0,l=r.length;c=P;N-=1){var F=N-1,j=i[e.charAt(F)];if(j&&(E[F]=1),M[N]=(M[N+1]<<1|1)&j,0!==T&&(M[N]|=(O[N+1]|O[N])<<1|1|O[N+1]),M[N]&L&&(C=n(t,{errors:T,currentLocation:F,expectedLocation:v,distance:l}))<=_){if(_=C,(b=F)<=v)break;P=Math.max(1,2*v-b)}}if(n(t,{errors:T+1,currentLocation:v,expectedLocation:v,distance:l})>_)break;O=M}return{isMatch:b>=0,score:0===C?.001:C,matchedIndices:s(E,f)}}},function(e,t){e.exports=function(e,t){var i=t.errors,n=void 0===i?0:i,s=t.currentLocation,r=void 0===s?0:s,o=t.expectedLocation,a=void 0===o?0:o,c=t.distance,l=void 0===c?100:c,h=n/e.length,u=Math.abs(a-r);return l?h+u/l:u?1:h}},function(e,t){e.exports=function(){for(var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:[],t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:1,i=[],n=-1,s=-1,r=0,o=e.length;r=t&&i.push([n,s]),n=-1)}return e[r-1]&&r-n>=t&&i.push([n,r-1]),i}},function(e,t){e.exports=function(e){for(var t={},i=e.length,n=0;n/g,\"&rt;\").replace(/-1?e.map((function(e){var i=e;return i.id===parseInt(t.choiceId,10)&&(i.selected=!0),i})):e;case\"REMOVE_ITEM\":return t.choiceId>-1?e.map((function(e){var i=e;return i.id===parseInt(t.choiceId,10)&&(i.selected=!1),i})):e;case\"FILTER_CHOICES\":return e.map((function(e){var i=e;return i.active=t.results.some((function(e){var t=e.item,n=e.score;return t.id===i.id&&(i.score=n,!0)})),i}));case\"ACTIVATE_CHOICES\":return e.map((function(e){var i=e;return i.active=t.active,i}));case\"CLEAR_CHOICES\":return v;default:return e}},general:_}),A=function(e,t){var i=e;if(\"CLEAR_ALL\"===t.type)i=void 0;else if(\"RESET_TO\"===t.type)return O(t.state);return C(i,t)};function L(e,t){for(var i=0;i\"'+I(e)+'\"'},maxItemText:function(e){return\"Only \"+e+\" values can be added\"},valueComparer:function(e,t){return e===t},fuseOptions:{includeScore:!0},callbackOnInit:null,callbackOnCreateTemplates:null,classNames:{containerOuter:\"choices\",containerInner:\"choices__inner\",input:\"choices__input\",inputCloned:\"choices__input--cloned\",list:\"choices__list\",listItems:\"choices__list--multiple\",listSingle:\"choices__list--single\",listDropdown:\"choices__list--dropdown\",item:\"choices__item\",itemSelectable:\"choices__item--selectable\",itemDisabled:\"choices__item--disabled\",itemChoice:\"choices__item--choice\",placeholder:\"choices__placeholder\",group:\"choices__group\",groupHeading:\"choices__heading\",button:\"choices__button\",activeState:\"is-active\",focusState:\"is-focused\",openState:\"is-open\",disabledState:\"is-disabled\",highlightedState:\"is-highlighted\",selectedState:\"is-selected\",flippedState:\"is-flipped\",loadingState:\"is-loading\",noResults:\"has-no-results\",noChoices:\"has-no-choices\"}},D=\"showDropdown\",M=\"hideDropdown\",N=\"change\",F=\"choice\",j=\"search\",K=\"addItem\",R=\"removeItem\",H=\"highlightItem\",B=\"highlightChoice\",V=\"ADD_CHOICE\",G=\"FILTER_CHOICES\",q=\"ACTIVATE_CHOICES\",U=\"CLEAR_CHOICES\",z=\"ADD_GROUP\",W=\"ADD_ITEM\",X=\"REMOVE_ITEM\",$=\"HIGHLIGHT_ITEM\",J=46,Y=8,Z=13,Q=65,ee=27,te=38,ie=40,ne=33,se=34,re=\"text\",oe=\"select-one\",ae=\"select-multiple\",ce=function(){function e(e){var t=e.element,i=e.type,n=e.classNames,s=e.position;this.element=t,this.classNames=n,this.type=i,this.position=s,this.isOpen=!1,this.isFlipped=!1,this.isFocussed=!1,this.isDisabled=!1,this.isLoading=!1,this._onFocus=this._onFocus.bind(this),this._onBlur=this._onBlur.bind(this)}var t=e.prototype;return t.addEventListeners=function(){this.element.addEventListener(\"focus\",this._onFocus),this.element.addEventListener(\"blur\",this._onBlur)},t.removeEventListeners=function(){this.element.removeEventListener(\"focus\",this._onFocus),this.element.removeEventListener(\"blur\",this._onBlur)},t.shouldFlip=function(e){if(\"number\"!=typeof e)return!1;var t=!1;return\"auto\"===this.position?t=!window.matchMedia(\"(min-height: 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0===t&&(t=document.createElement(\"div\")),e.nextSibling?e.parentNode.insertBefore(t,e.nextSibling):e.parentNode.appendChild(t),t.appendChild(e)}(e,this.element)},t.unwrap=function(e){this.element.parentNode.insertBefore(e,this.element),this.element.parentNode.removeChild(this.element)},t.addLoadingState=function(){this.element.classList.add(this.classNames.loadingState),this.element.setAttribute(\"aria-busy\",\"true\"),this.isLoading=!0},t.removeLoadingState=function(){this.element.classList.remove(this.classNames.loadingState),this.element.removeAttribute(\"aria-busy\"),this.isLoading=!1},t._onFocus=function(){this.isFocussed=!0},t._onBlur=function(){this.isFocussed=!1},e}();function le(e,t){for(var i=0;i0?this.element.scrollTop+o-s:e.offsetTop;requestAnimationFrame((function(){i._animateScroll(a,t)}))}},t._scrollDown=function(e,t,i){var n=(i-e)/t,s=n>1?n:1;this.element.scrollTop=e+s},t._scrollUp=function(e,t,i){var n=(e-i)/t,s=n>1?n:1;this.element.scrollTop=e-s},t._animateScroll=function(e,t){var i=this,n=this.element.scrollTop,s=!1;t>0?(this._scrollDown(n,4,e),ne&&(s=!0)),s&&requestAnimationFrame((function(){i._animateScroll(e,t)}))},e}();function de(e,t){for(var i=0;i0?\"treeitem\":\"option\"),Object.assign(g.dataset,{choice:\"\",id:l,value:h,selectText:i}),m?(g.classList.add(a),g.dataset.choiceDisabled=\"\",g.setAttribute(\"aria-disabled\",\"true\")):(g.classList.add(r),g.dataset.choiceSelectable=\"\"),g},input:function(e,t){var i=e.input,n=e.inputCloned,s=Object.assign(document.createElement(\"input\"),{type:\"text\",className:i+\" \"+n,autocomplete:\"off\",autocapitalize:\"off\",spellcheck:!1});return s.setAttribute(\"role\",\"textbox\"),s.setAttribute(\"aria-autocomplete\",\"list\"),s.setAttribute(\"aria-label\",t),s},dropdown:function(e){var t=e.list,i=e.listDropdown,n=document.createElement(\"div\");return n.classList.add(t,i),n.setAttribute(\"aria-expanded\",\"false\"),n},notice:function(e,t,i){var n=e.item,s=e.itemChoice,r=e.noResults,o=e.noChoices;void 0===i&&(i=\"\");var a=[n,s];return\"no-choices\"===i?a.push(o):\"no-results\"===i&&a.push(r),Object.assign(document.createElement(\"div\"),{innerHTML:t,className:a.join(\" \")})},option:function(e){var t=e.label,i=e.value,n=e.customProperties,s=e.active,r=e.disabled,o=new Option(t,i,!1,s);return n&&(o.dataset.customProperties=n),o.disabled=r,o}},be=function(e){return void 0===e&&(e=!0),{type:q,active:e}},ye=function(e,t){return{type:$,id:e,highlighted:t}},Ee=function(e){var t=e.value,i=e.id,n=e.active,s=e.disabled;return{type:z,value:t,id:i,active:n,disabled:s}},Ie=function(e){return{type:\"SET_IS_LOADING\",isLoading:e}};function Se(e,t){for(var i=0;i=0?this._store.getGroupById(s):null;return this._store.dispatch(ye(i,!0)),t&&this.passedElement.triggerEvent(H,{id:i,value:o,label:c,groupValue:l&&l.value?l.value:null}),this},r.unhighlightItem=function(e){if(!e)return this;var t=e.id,i=e.groupId,n=void 0===i?-1:i,s=e.value,r=void 0===s?\"\":s,o=e.label,a=void 0===o?\"\":o,c=n>=0?this._store.getGroupById(n):null;return this._store.dispatch(ye(t,!1)),this.passedElement.triggerEvent(H,{id:t,value:r,label:a,groupValue:c&&c.value?c.value:null}),this},r.highlightAll=function(){var e=this;return this._store.items.forEach((function(t){return e.highlightItem(t)})),this},r.unhighlightAll=function(){var e=this;return this._store.items.forEach((function(t){return e.unhighlightItem(t)})),this},r.removeActiveItemsByValue=function(e){var t=this;return this._store.activeItems.filter((function(t){return t.value===e})).forEach((function(e){return t._removeItem(e)})),this},r.removeActiveItems=function(e){var t=this;return this._store.activeItems.filter((function(t){return t.id!==e})).forEach((function(e){return t._removeItem(e)})),this},r.removeHighlightedItems=function(e){var t=this;return void 0===e&&(e=!1),this._store.highlightedActiveItems.forEach((function(i){t._removeItem(i),e&&t._triggerChange(i.value)})),this},r.showDropdown=function(e){var t=this;return this.dropdown.isActive||requestAnimationFrame((function(){t.dropdown.show(),t.containerOuter.open(t.dropdown.distanceFromTopWindow),!e&&t._canSearch&&t.input.focus(),t.passedElement.triggerEvent(D,{})})),this},r.hideDropdown=function(e){var t=this;return this.dropdown.isActive?(requestAnimationFrame((function(){t.dropdown.hide(),t.containerOuter.close(),!e&&t._canSearch&&(t.input.removeActiveDescendant(),t.input.blur()),t.passedElement.triggerEvent(M,{})})),this):this},r.getValue=function(e){void 0===e&&(e=!1);var t=this._store.activeItems.reduce((function(t,i){var n=e?i.value:i;return t.push(n),t}),[]);return this._isSelectOneElement?t[0]:t},r.setValue=function(e){var t=this;return this.initialised?(e.forEach((function(e){return t._setChoiceOrItem(e)})),this):this},r.setChoiceByValue=function(e){var t=this;return!this.initialised||this._isTextElement||(Array.isArray(e)?e:[e]).forEach((function(e){return t._findAndSelectChoiceByValue(e)})),this},r.setChoices=function(e,t,i,n){var s=this;if(void 0===e&&(e=[]),void 0===t&&(t=\"value\"),void 0===i&&(i=\"label\"),void 0===n&&(n=!1),!this.initialised)throw new ReferenceError(\"setChoices was called on a non-initialized instance of Choices\");if(!this._isSelectElement)throw new TypeError(\"setChoices can't be used with INPUT based Choices\");if(\"string\"!=typeof t||!t)throw new TypeError(\"value parameter must be a name of 'value' field in passed objects\");if(n&&this.clearChoices(),\"function\"==typeof e){var r=e(this);if(\"function\"==typeof Promise&&r instanceof Promise)return new Promise((function(e){return requestAnimationFrame(e)})).then((function(){return s._handleLoadingState(!0)})).then((function(){return r})).then((function(e){return s.setChoices(e,t,i,n)})).catch((function(e){s.config.silent||console.error(e)})).then((function(){return s._handleLoadingState(!1)})).then((function(){return s}));if(!Array.isArray(r))throw new TypeError(\".setChoices first argument function must return either array of choices or Promise, got: \"+typeof r);return this.setChoices(r,t,i,!1)}if(!Array.isArray(e))throw new TypeError(\".setChoices must be called either with array of choices with a function resulting into Promise of array of choices\");return this.containerOuter.removeLoadingState(),this._startLoading(),e.forEach((function(e){e.choices?s._addGroup({id:parseInt(e.id,10)||null,group:e,valueKey:t,labelKey:i}):s._addChoice({value:e[t],label:e[i],isSelected:e.selected,isDisabled:e.disabled,customProperties:e.customProperties,placeholder:e.placeholder})})),this._stopLoading(),this},r.clearChoices=function(){return this._store.dispatch({type:U}),this},r.clearStore=function(){return this._store.dispatch({type:\"CLEAR_ALL\"}),this},r.clearInput=function(){var e=!this._isSelectOneElement;return this.input.clear(e),!this._isTextElement&&this._canSearch&&(this._isSearching=!1,this._store.dispatch(be(!0))),this},r._render=function(){if(!this._store.isLoading()){this._currentState=this._store.state;var e=this._currentState.choices!==this._prevState.choices||this._currentState.groups!==this._prevState.groups||this._currentState.items!==this._prevState.items,t=this._isSelectElement,i=this._currentState.items!==this._prevState.items;e&&(t&&this._renderChoices(),i&&this._renderItems(),this._prevState=this._currentState)}},r._renderChoices=function(){var e=this,t=this._store,i=t.activeGroups,n=t.activeChoices,s=document.createDocumentFragment();if(this.choiceList.clear(),this.config.resetScrollPosition&&requestAnimationFrame((function(){return e.choiceList.scrollToTop()})),i.length>=1&&!this._isSearching){var r=n.filter((function(e){return!0===e.placeholder&&-1===e.groupId}));r.length>=1&&(s=this._createChoicesFragment(r,s)),s=this._createGroupsFragment(i,n,s)}else n.length>=1&&(s=this._createChoicesFragment(n,s));if(s.childNodes&&s.childNodes.length>0){var o=this._store.activeItems,a=this._canAddItem(o,this.input.value);a.response?(this.choiceList.append(s),this._highlightChoice()):this.choiceList.append(this._getTemplate(\"notice\",a.notice))}else{var c,l;this._isSearching?(l=\"function\"==typeof this.config.noResultsText?this.config.noResultsText():this.config.noResultsText,c=this._getTemplate(\"notice\",l,\"no-results\")):(l=\"function\"==typeof this.config.noChoicesText?this.config.noChoicesText():this.config.noChoicesText,c=this._getTemplate(\"notice\",l,\"no-choices\")),this.choiceList.append(c)}},r._renderItems=function(){var e=this._store.activeItems||[];this.itemList.clear();var t=this._createItemsFragment(e);t.childNodes&&this.itemList.append(t)},r._createGroupsFragment=function(e,t,i){var n=this;return void 0===i&&(i=document.createDocumentFragment()),this.config.shouldSort&&e.sort(this.config.sorter),e.forEach((function(e){var s=function(e){return t.filter((function(t){return n._isSelectOneElement?t.groupId===e.id:t.groupId===e.id&&(\"always\"===n.config.renderSelectedChoices||!t.selected)}))}(e);if(s.length>=1){var r=n._getTemplate(\"choiceGroup\",e);i.appendChild(r),n._createChoicesFragment(s,i,!0)}})),i},r._createChoicesFragment=function(e,t,i){var n=this;void 0===t&&(t=document.createDocumentFragment()),void 0===i&&(i=!1);var s=this.config,r=s.renderSelectedChoices,o=s.searchResultLimit,a=s.renderChoiceLimit,c=this._isSearching?w:this.config.sorter,l=function(e){if(\"auto\"!==r||n._isSelectOneElement||!e.selected){var i=n._getTemplate(\"choice\",e,n.config.itemSelectText);t.appendChild(i)}},h=e;\"auto\"!==r||this._isSelectOneElement||(h=e.filter((function(e){return!e.selected})));var u=h.reduce((function(e,t){return t.placeholder?e.placeholderChoices.push(t):e.normalChoices.push(t),e}),{placeholderChoices:[],normalChoices:[]}),d=u.placeholderChoices,p=u.normalChoices;(this.config.shouldSort||this._isSearching)&&p.sort(c);var m=h.length,f=this._isSelectOneElement?[].concat(d,p):p;this._isSearching?m=o:a&&a>0&&!i&&(m=a);for(var v=0;v=n){var o=s?this._searchChoices(e):0;this.passedElement.triggerEvent(j,{value:e,resultCount:o})}else r&&(this._isSearching=!1,this._store.dispatch(be(!0)))}},r._canAddItem=function(e,t){var i=!0,n=\"function\"==typeof this.config.addItemText?this.config.addItemText(t):this.config.addItemText;if(!this._isSelectOneElement){var s=function(e,t,i){return void 0===i&&(i=\"value\"),e.some((function(e){return\"string\"==typeof t?e[i]===t.trim():e[i]===t}))}(e,t);this.config.maxItemCount>0&&this.config.maxItemCount<=e.length&&(i=!1,n=\"function\"==typeof this.config.maxItemText?this.config.maxItemText(this.config.maxItemCount):this.config.maxItemText),!this.config.duplicateItemsAllowed&&s&&i&&(i=!1,n=\"function\"==typeof this.config.uniqueItemText?this.config.uniqueItemText(t):this.config.uniqueItemText),this._isTextElement&&this.config.addItems&&i&&\"function\"==typeof this.config.addItemFilter&&!this.config.addItemFilter(t)&&(i=!1,n=\"function\"==typeof this.config.customAddItemText?this.config.customAddItemText(t):this.config.customAddItemText)}return{response:i,notice:n}},r._searchChoices=function(e){var t=\"string\"==typeof e?e.trim():e,i=\"string\"==typeof this._currentValue?this._currentValue.trim():this._currentValue;if(t.length<1&&t===i+\" \")return 0;var n=this._store.searchableChoices,r=t,o=[].concat(this.config.searchFields),a=Object.assign(this.config.fuseOptions,{keys:o}),c=new s.a(n,a).search(r);return this._currentValue=t,this._highlightPosition=0,this._isSearching=!0,this._store.dispatch(function(e){return{type:G,results:e}}(c)),c.length},r._addEventListeners=function(){var e=document.documentElement;e.addEventListener(\"touchend\",this._onTouchEnd,!0),this.containerOuter.element.addEventListener(\"keydown\",this._onKeyDown,!0),this.containerOuter.element.addEventListener(\"mousedown\",this._onMouseDown,!0),e.addEventListener(\"click\",this._onClick,{passive:!0}),e.addEventListener(\"touchmove\",this._onTouchMove,{passive:!0}),this.dropdown.element.addEventListener(\"mouseover\",this._onMouseOver,{passive:!0}),this._isSelectOneElement&&(this.containerOuter.element.addEventListener(\"focus\",this._onFocus,{passive:!0}),this.containerOuter.element.addEventListener(\"blur\",this._onBlur,{passive:!0})),this.input.element.addEventListener(\"keyup\",this._onKeyUp,{passive:!0}),this.input.element.addEventListener(\"focus\",this._onFocus,{passive:!0}),this.input.element.addEventListener(\"blur\",this._onBlur,{passive:!0}),this.input.element.form&&this.input.element.form.addEventListener(\"reset\",this._onFormReset,{passive:!0}),this.input.addEventListeners()},r._removeEventListeners=function(){var e=document.documentElement;e.removeEventListener(\"touchend\",this._onTouchEnd,!0),this.containerOuter.element.removeEventListener(\"keydown\",this._onKeyDown,!0),this.containerOuter.element.removeEventListener(\"mousedown\",this._onMouseDown,!0),e.removeEventListener(\"click\",this._onClick),e.removeEventListener(\"touchmove\",this._onTouchMove),this.dropdown.element.removeEventListener(\"mouseover\",this._onMouseOver),this._isSelectOneElement&&(this.containerOuter.element.removeEventListener(\"focus\",this._onFocus),this.containerOuter.element.removeEventListener(\"blur\",this._onBlur)),this.input.element.removeEventListener(\"keyup\",this._onKeyUp),this.input.element.removeEventListener(\"focus\",this._onFocus),this.input.element.removeEventListener(\"blur\",this._onBlur),this.input.element.form&&this.input.element.form.removeEventListener(\"reset\",this._onFormReset),this.input.removeEventListeners()},r._onKeyDown=function(e){var t,i=e.target,n=e.keyCode,s=e.ctrlKey,r=e.metaKey,o=this._store.activeItems,a=this.input.isFocussed,c=this.dropdown.isActive,l=this.itemList.hasChildren(),h=String.fromCharCode(n),u=J,d=Y,p=Z,m=Q,f=ee,v=te,g=ie,_=ne,b=se,y=s||r;!this._isTextElement&&/[a-zA-Z0-9-_ ]/.test(h)&&this.showDropdown();var E=((t={})[m]=this._onAKey,t[p]=this._onEnterKey,t[f]=this._onEscapeKey,t[v]=this._onDirectionKey,t[_]=this._onDirectionKey,t[g]=this._onDirectionKey,t[b]=this._onDirectionKey,t[d]=this._onDeleteKey,t[u]=this._onDeleteKey,t);E[n]&&E[n]({event:e,target:i,keyCode:n,metaKey:r,activeItems:o,hasFocusedInput:a,hasActiveDropdown:c,hasItems:l,hasCtrlDownKeyPressed:y})},r._onKeyUp=function(e){var t=e.target,i=e.keyCode,n=this.input.value,s=this._store.activeItems,r=this._canAddItem(s,n),o=J,a=Y;if(this._isTextElement)if(r.notice&&n){var c=this._getTemplate(\"notice\",r.notice);this.dropdown.element.innerHTML=c.outerHTML,this.showDropdown(!0)}else this.hideDropdown(!0);else{var l=(i===o||i===a)&&!t.value,h=!this._isTextElement&&this._isSearching,u=this._canSearch&&r.response;l&&h?(this._isSearching=!1,this._store.dispatch(be(!0))):u&&this._handleSearch(this.input.value)}this._canSearch=this.config.searchEnabled},r._onAKey=function(e){var t=e.hasItems;e.hasCtrlDownKeyPressed&&t&&(this._canSearch=!1,this.config.removeItems&&!this.input.value&&this.input.element===document.activeElement&&this.highlightAll())},r._onEnterKey=function(e){var t=e.event,i=e.target,n=e.activeItems,s=e.hasActiveDropdown,r=Z,o=i.hasAttribute(\"data-button\");if(this._isTextElement&&i.value){var a=this.input.value;this._canAddItem(n,a).response&&(this.hideDropdown(!0),this._addItem({value:a}),this._triggerChange(a),this.clearInput())}if(o&&(this._handleButtonAction(n,i),t.preventDefault()),s){var c=this.dropdown.getChild(\".\"+this.config.classNames.highlightedState);c&&(n[0]&&(n[0].keyCode=r),this._handleChoiceAction(n,c)),t.preventDefault()}else this._isSelectOneElement&&(this.showDropdown(),t.preventDefault())},r._onEscapeKey=function(e){e.hasActiveDropdown&&(this.hideDropdown(!0),this.containerOuter.focus())},r._onDirectionKey=function(e){var t,i,n,s=e.event,r=e.hasActiveDropdown,o=e.keyCode,a=e.metaKey,c=ie,l=ne,h=se;if(r||this._isSelectOneElement){this.showDropdown(),this._canSearch=!1;var u,d=o===c||o===h?1:-1,p=\"[data-choice-selectable]\";if(a||o===h||o===l)u=d>0?this.dropdown.element.querySelector(\"[data-choice-selectable]:last-of-type\"):this.dropdown.element.querySelector(p);else{var m=this.dropdown.element.querySelector(\".\"+this.config.classNames.highlightedState);u=m?function(e,t,i){if(void 0===i&&(i=1),e instanceof Element&&\"string\"==typeof t){for(var n=(i>0?\"next\":\"previous\")+\"ElementSibling\",s=e[n];s;){if(s.matches(t))return s;s=s[n]}return s}}(m,p,d):this.dropdown.element.querySelector(p)}u&&(t=u,i=this.choiceList.element,void 0===(n=d)&&(n=1),t&&(n>0?i.scrollTop+i.offsetHeight>=t.offsetTop+t.offsetHeight:t.offsetTop>=i.scrollTop)||this.choiceList.scrollToChildElement(u,d),this._highlightChoice(u)),s.preventDefault()}},r._onDeleteKey=function(e){var t=e.event,i=e.target,n=e.hasFocusedInput,s=e.activeItems;!n||i.value||this._isSelectOneElement||(this._handleBackspace(s),t.preventDefault())},r._onTouchMove=function(){this._wasTap&&(this._wasTap=!1)},r._onTouchEnd=function(e){var t=(e||e.touches[0]).target;this._wasTap&&this.containerOuter.element.contains(t)&&((t===this.containerOuter.element||t===this.containerInner.element)&&(this._isTextElement?this.input.focus():this._isSelectMultipleElement&&this.showDropdown()),e.stopPropagation()),this._wasTap=!0},r._onMouseDown=function(e){var t=e.target;if(t instanceof HTMLElement){if(we&&this.choiceList.element.contains(t)){var i=this.choiceList.element.firstElementChild,n=\"ltr\"===this._direction?e.offsetX>=i.offsetWidth:e.offsetX0&&this.unhighlightAll(),this.containerOuter.removeFocusState(),this.hideDropdown(!0))},r._onFocus=function(e){var t,i=this,n=e.target;this.containerOuter.element.contains(n)&&((t={}).text=function(){n===i.input.element&&i.containerOuter.addFocusState()},t[\"select-one\"]=function(){i.containerOuter.addFocusState(),n===i.input.element&&i.showDropdown(!0)},t[\"select-multiple\"]=function(){n===i.input.element&&(i.showDropdown(!0),i.containerOuter.addFocusState())},t)[this.passedElement.element.type]()},r._onBlur=function(e){var t=this,i=e.target;if(this.containerOuter.element.contains(i)&&!this._isScrollingOnIe){var n,s=this._store.activeItems.some((function(e){return e.highlighted}));((n={}).text=function(){i===t.input.element&&(t.containerOuter.removeFocusState(),s&&t.unhighlightAll(),t.hideDropdown(!0))},n[\"select-one\"]=function(){t.containerOuter.removeFocusState(),(i===t.input.element||i===t.containerOuter.element&&!t._canSearch)&&t.hideDropdown(!0)},n[\"select-multiple\"]=function(){i===t.input.element&&(t.containerOuter.removeFocusState(),t.hideDropdown(!0),s&&t.unhighlightAll())},n)[this.passedElement.element.type]()}else this._isScrollingOnIe=!1,this.input.element.focus()},r._onFormReset=function(){this._store.dispatch({type:\"RESET_TO\",state:this._initialState})},r._highlightChoice=function(e){var t=this;void 0===e&&(e=null);var i=Array.from(this.dropdown.element.querySelectorAll(\"[data-choice-selectable]\"));if(i.length){var n=e;Array.from(this.dropdown.element.querySelectorAll(\".\"+this.config.classNames.highlightedState)).forEach((function(e){e.classList.remove(t.config.classNames.highlightedState),e.setAttribute(\"aria-selected\",\"false\")})),n?this._highlightPosition=i.indexOf(n):(n=i.length>this._highlightPosition?i[this._highlightPosition]:i[i.length-1])||(n=i[0]),n.classList.add(this.config.classNames.highlightedState),n.setAttribute(\"aria-selected\",\"true\"),this.passedElement.triggerEvent(B,{el:n}),this.dropdown.isActive&&(this.input.setActiveDescendant(n.id),this.containerOuter.setActiveDescendant(n.id))}},r._addItem=function(e){var t=e.value,i=e.label,n=void 0===i?null:i,s=e.choiceId,r=void 0===s?-1:s,o=e.groupId,a=void 0===o?-1:o,c=e.customProperties,l=void 0===c?null:c,h=e.placeholder,u=void 0!==h&&h,d=e.keyCode,p=void 0===d?null:d,m=\"string\"==typeof t?t.trim():t,f=p,v=l,g=this._store.items,_=n||m,b=r||-1,y=a>=0?this._store.getGroupById(a):null,E=g?g.length+1:1;return this.config.prependValue&&(m=this.config.prependValue+m.toString()),this.config.appendValue&&(m+=this.config.appendValue.toString()),this._store.dispatch(function(e){var t=e.value,i=e.label,n=e.id,s=e.choiceId,r=e.groupId,o=e.customProperties,a=e.placeholder,c=e.keyCode;return{type:W,value:t,label:i,id:n,choiceId:s,groupId:r,customProperties:o,placeholder:a,keyCode:c}}({value:m,label:_,id:E,choiceId:b,groupId:a,customProperties:l,placeholder:u,keyCode:f})),this._isSelectOneElement&&this.removeActiveItems(E),this.passedElement.triggerEvent(K,{id:E,value:m,label:_,customProperties:v,groupValue:y&&y.value?y.value:void 0,keyCode:f}),this},r._removeItem=function(e){if(!e||!E(\"Object\",e))return this;var t=e.id,i=e.value,n=e.label,s=e.choiceId,r=e.groupId,o=r>=0?this._store.getGroupById(r):null;return this._store.dispatch(function(e,t){return{type:X,id:e,choiceId:t}}(t,s)),o&&o.value?this.passedElement.triggerEvent(R,{id:t,value:i,label:n,groupValue:o.value}):this.passedElement.triggerEvent(R,{id:t,value:i,label:n}),this},r._addChoice=function(e){var t=e.value,i=e.label,n=void 0===i?null:i,s=e.isSelected,r=void 0!==s&&s,o=e.isDisabled,a=void 0!==o&&o,c=e.groupId,l=void 0===c?-1:c,h=e.customProperties,u=void 0===h?null:h,d=e.placeholder,p=void 0!==d&&d,m=e.keyCode,f=void 0===m?null:m;if(null!=t){var v=this._store.choices,g=n||t,_=v?v.length+1:1,b=this._baseId+\"-\"+this._idNames.itemChoice+\"-\"+_;this._store.dispatch(function(e){var t=e.value,i=e.label,n=e.id,s=e.groupId,r=e.disabled,o=e.elementId,a=e.customProperties,c=e.placeholder,l=e.keyCode;return{type:V,value:t,label:i,id:n,groupId:s,disabled:r,elementId:o,customProperties:a,placeholder:c,keyCode:l}}({id:_,groupId:l,elementId:b,value:t,label:g,disabled:a,customProperties:u,placeholder:p,keyCode:f})),r&&this._addItem({value:t,label:g,choiceId:_,customProperties:u,placeholder:p,keyCode:f})}},r._addGroup=function(e){var t=this,i=e.group,n=e.id,s=e.valueKey,r=void 0===s?\"value\":s,o=e.labelKey,a=void 0===o?\"label\":o,c=E(\"Object\",i)?i.choices:Array.from(i.getElementsByTagName(\"OPTION\")),l=n||Math.floor((new Date).valueOf()*Math.random()),h=!!i.disabled&&i.disabled;c?(this._store.dispatch(Ee({value:i.label,id:l,active:!0,disabled:h})),c.forEach((function(e){var i=e.disabled||e.parentNode&&e.parentNode.disabled;t._addChoice({value:e[r],label:E(\"Object\",e)?e[a]:e.innerHTML,isSelected:e.selected,isDisabled:i,groupId:l,customProperties:e.customProperties,placeholder:e.placeholder})}))):this._store.dispatch(Ee({value:i.label,id:i.id,active:!1,disabled:i.disabled}))},r._getTemplate=function(e){var t;if(!e)return null;for(var i=this.config.classNames,n=arguments.length,s=new Array(n>1?n-1:0),r=1;r{var e;return this.input_el.name=null!==(e=this.model.name)&&void 0!==e?e:\"\"})),this.connect(this.model.properties.value.change,(()=>{this.input_el.value=this.format_value,this.old_value=this.input_el.value})),this.connect(this.model.properties.low.change,(()=>{const{value:e,low:t,high:l}=this.model;null!=t&&null!=l&&(0,p.assert)(t<=l,\"Invalid bounds, low must be inferior to high\"),null!=e&&null!=t&&e{const{value:e,low:t,high:l}=this.model;null!=t&&null!=l&&(0,p.assert)(l>=t,\"Invalid bounds, high must be superior to low\"),null!=e&&null!=l&&e>l&&(this.model.value=l)})),this.connect(this.model.properties.high.change,(()=>this.input_el.placeholder=this.model.placeholder)),this.connect(this.model.properties.disabled.change,(()=>this.input_el.disabled=this.model.disabled)),this.connect(this.model.properties.placeholder.change,(()=>this.input_el.placeholder=this.model.placeholder))}get format_value(){return null!=this.model.value?this.model.pretty(this.model.value):\"\"}_set_input_filter(e){this.input_el.addEventListener(\"input\",(()=>{const{selectionStart:t,selectionEnd:l}=this.input_el;if(e(this.input_el.value))this.old_value=this.input_el.value;else{const e=this.old_value.length-this.input_el.value.length;this.input_el.value=this.old_value,t&&l&&this.input_el.setSelectionRange(t-1,l+e)}}))}render(){super.render(),this.input_el=(0,r.input)({type:\"text\",class:_.input,name:this.model.name,value:this.format_value,disabled:this.model.disabled,placeholder:this.model.placeholder}),this.old_value=this.format_value,this.set_input_filter(),this.input_el.addEventListener(\"change\",(()=>this.change_input())),this.input_el.addEventListener(\"focusout\",(()=>this.input_el.value=this.format_value)),this.group_el.appendChild(this.input_el)}set_input_filter(){\"int\"==this.model.mode?this._set_input_filter((e=>m.test(e))):\"float\"==this.model.mode&&this._set_input_filter((e=>c.test(e)))}bound_value(e){let t=e;const{low:l,high:i}=this.model;return t=null!=l?Math.max(l,t):t,t=null!=i?Math.min(i,t):t,t}get value(){let e=\"\"!=this.input_el.value?Number(this.input_el.value):null;return null!=e&&(e=this.bound_value(e)),e}change_input(){null==this.value?this.model.value=null:Number.isNaN(this.value)||(this.model.value=this.value)}}l.NumericInputView=v,v.__name__=\"NumericInputView\";class g extends o.InputWidget{constructor(e){super(e)}_formatter(e,t){return(0,d.isString)(t)?h.format(e,t):t.doFormat([e],{loc:0})[0]}pretty(e){return null!=this.format?this._formatter(e,this.format):`${e}`}}l.NumericInput=g,u=g,g.__name__=\"NumericInput\",u.prototype.default_view=v,u.define((({Number:e,String:t,Enum:l,Ref:i,Or:n,Nullable:s})=>({value:[s(e),null],placeholder:[t,\"\"],mode:[l(\"int\",\"float\"),\"int\"],format:[s(n(t,i(a.TickFormatter))),null],low:[s(e),null],high:[s(e),null]})))},\n 479: function _(e,t,r,s,n){var a;s();const o=e(468),_=e(43);class p extends o.MarkupView{render(){super.render();const e=(0,_.pre)({style:{overflow:\"auto\"}},this.model.text);this.markup_el.appendChild(e)}}r.PreTextView=p,p.__name__=\"PreTextView\";class u extends o.Markup{constructor(e){super(e)}}r.PreText=u,a=u,u.__name__=\"PreText\",a.prototype.default_view=p},\n 480: function _(t,o,e,a,i){a();const n=t(1);var u;const s=t(452),c=t(43),_=(0,n.__importStar)(t(318));class r extends s.ButtonGroupView{change_active(t){this.model.active!==t&&(this.model.active=t)}_update_active(){const{active:t}=this.model;this._buttons.forEach(((o,e)=>{(0,c.classes)(o).toggle(_.active,t===e)}))}}e.RadioButtonGroupView=r,r.__name__=\"RadioButtonGroupView\";class l extends s.ButtonGroup{constructor(t){super(t)}}e.RadioButtonGroup=l,u=l,l.__name__=\"RadioButtonGroup\",u.prototype.default_view=r,u.define((({Int:t,Nullable:o})=>({active:[o(t),null]})))},\n 481: function _(e,n,i,t,a){t();const s=e(1);var l;const o=e(43),d=e(34),p=e(455),r=(0,s.__importStar)(e(449));class u extends p.InputGroupView{render(){super.render();const e=(0,o.div)({class:[r.input_group,this.model.inline?r.inline:null]});this.el.appendChild(e);const n=(0,d.uniqueId)(),{active:i,labels:t}=this.model;this._inputs=[];for(let a=0;athis.change_active(a))),this._inputs.push(s),this.model.disabled&&(s.disabled=!0),a==i&&(s.checked=!0);const l=(0,o.label)(s,(0,o.span)(t[a]));e.appendChild(l)}}change_active(e){this.model.active=e}}i.RadioGroupView=u,u.__name__=\"RadioGroupView\";class c extends p.InputGroup{constructor(e){super(e)}}i.RadioGroup=c,l=c,c.__name__=\"RadioGroup\",l.prototype.default_view=u,l.define((({Boolean:e,Int:n,String:i,Array:t,Nullable:a})=>({active:[a(n),null],labels:[t(i),[]],inline:[e,!1]})))},\n 482: function _(e,r,t,a,i){a();var n;const o=(0,e(1).__importStar)(e(153)),s=e(461),_=e(8);class d extends s.AbstractRangeSliderView{}t.RangeSliderView=d,d.__name__=\"RangeSliderView\";class c extends s.AbstractSlider{constructor(e){super(e),this.behaviour=\"drag\",this.connected=[!1,!0,!1]}_formatter(e,r){return(0,_.isString)(r)?o.format(e,r):r.compute(e)}}t.RangeSlider=c,n=c,c.__name__=\"RangeSlider\",n.prototype.default_view=d,n.override({format:\"0[.]00\"})},\n 483: function _(e,t,n,s,i){s();const l=e(1);var u;const a=e(43),o=e(8),p=e(13),_=e(448),r=(0,l.__importStar)(e(449));class c extends _.InputWidgetView{constructor(){super(...arguments),this._known_values=new Set}connect_signals(){super.connect_signals();const{value:e,options:t}=this.model.properties;this.on_change(e,(()=>{this._update_value()})),this.on_change(t,(()=>{(0,a.empty)(this.input_el),(0,a.append)(this.input_el,...this.options_el()),this._update_value()}))}options_el(){const{_known_values:e}=this;function t(t){return t.map((t=>{let n,s;return(0,o.isString)(t)?n=s=t:[n,s]=t,e.add(n),(0,a.option)({value:n},s)}))}e.clear();const{options:n}=this.model;return(0,o.isArray)(n)?t(n):(0,p.entries)(n).map((([e,n])=>(0,a.optgroup)({label:e},t(n))))}render(){super.render(),this.input_el=(0,a.select)({class:r.input,name:this.model.name,disabled:this.model.disabled},this.options_el()),this._update_value(),this.input_el.addEventListener(\"change\",(()=>this.change_input())),this.group_el.appendChild(this.input_el)}change_input(){const e=this.input_el.value;this.model.value=e,super.change_input()}_update_value(){const{value:e}=this.model;this._known_values.has(e)?this.input_el.value=e:this.input_el.removeAttribute(\"value\")}}n.SelectView=c,c.__name__=\"SelectView\";class h extends _.InputWidget{constructor(e){super(e)}}n.Select=h,u=h,h.__name__=\"Select\",u.prototype.default_view=c,u.define((({String:e,Array:t,Tuple:n,Dict:s,Or:i})=>{const l=t(i(e,n(e,e)));return{value:[e,\"\"],options:[i(l,s(l)),[]]}}))},\n 484: function _(e,t,r,i,a){i();var o;const s=(0,e(1).__importStar)(e(153)),_=e(461),n=e(8);class c extends _.AbstractSliderView{}r.SliderView=c,c.__name__=\"SliderView\";class d extends _.AbstractSlider{constructor(e){super(e),this.behaviour=\"tap\",this.connected=[!0,!1]}_formatter(e,t){return(0,n.isString)(t)?s.format(e,t):t.compute(e)}}r.Slider=d,o=d,d.__name__=\"Slider\",o.prototype.default_view=c,o.override({format:\"0[.]00\"})},\n 485: function _(e,t,i,n,s){var l;n();const o=e(478),r=e(43),{min:a,max:h,floor:_,abs:u}=Math;function d(e){return _(e)!==e?e.toFixed(16).replace(/0+$/,\"\").split(\".\")[1].length:0}class p extends o.NumericInputView{*buttons(){yield this.btn_up_el,yield this.btn_down_el}initialize(){super.initialize(),this._handles={interval:void 0,timeout:void 0},this._interval=200}connect_signals(){super.connect_signals();const e=this.model.properties;this.on_change(e.disabled,(()=>{for(const e of this.buttons())(0,r.toggle_attribute)(e,\"disabled\",this.model.disabled)}))}render(){super.render(),this.wrapper_el=(0,r.div)({class:\"bk-spin-wrapper\"}),this.group_el.replaceChild(this.wrapper_el,this.input_el),this.btn_up_el=(0,r.button)({class:\"bk-spin-btn bk-spin-btn-up\"}),this.btn_down_el=(0,r.button)({class:\"bk-spin-btn bk-spin-btn-down\"}),this.wrapper_el.appendChild(this.input_el),this.wrapper_el.appendChild(this.btn_up_el),this.wrapper_el.appendChild(this.btn_down_el);for(const e of this.buttons())(0,r.toggle_attribute)(e,\"disabled\",this.model.disabled),e.addEventListener(\"mousedown\",(e=>this._btn_mouse_down(e))),e.addEventListener(\"mouseup\",(()=>this._btn_mouse_up())),e.addEventListener(\"mouseleave\",(()=>this._btn_mouse_leave()));this.input_el.addEventListener(\"keydown\",(e=>this._input_key_down(e))),this.input_el.addEventListener(\"keyup\",(()=>this.model.value_throttled=this.model.value)),this.input_el.addEventListener(\"wheel\",(e=>this._input_mouse_wheel(e))),this.input_el.addEventListener(\"wheel\",function(e,t,i=!1){let n;return function(...s){const l=this,o=i&&void 0===n;void 0!==n&&clearTimeout(n),n=setTimeout((function(){n=void 0,i||e.apply(l,s)}),t),o&&e.apply(l,s)}}((()=>{this.model.value_throttled=this.model.value}),this.model.wheel_wait,!1))}get precision(){const{low:e,high:t,step:i}=this.model,n=d;return h(n(u(null!=e?e:0)),n(u(null!=t?t:0)),n(u(i)))}remove(){this._stop_incrementation(),super.remove()}_start_incrementation(e){clearInterval(this._handles.interval),this._counter=0;const{step:t}=this.model,i=e=>{if(this._counter+=1,this._counter%5==0){const t=Math.floor(this._counter/5);t<10?(clearInterval(this._handles.interval),this._handles.interval=setInterval((()=>i(e)),this._interval/(t+1))):t>=10&&t<=13&&(clearInterval(this._handles.interval),this._handles.interval=setInterval((()=>i(2*e)),this._interval/10))}this.increment(e)};this._handles.interval=setInterval((()=>i(e*t)),this._interval)}_stop_incrementation(){clearTimeout(this._handles.timeout),this._handles.timeout=void 0,clearInterval(this._handles.interval),this._handles.interval=void 0,this.model.value_throttled=this.model.value}_btn_mouse_down(e){e.preventDefault();const t=e.currentTarget===this.btn_up_el?1:-1;this.increment(t*this.model.step),this.input_el.focus(),this._handles.timeout=setTimeout((()=>this._start_incrementation(t)),this._interval)}_btn_mouse_up(){this._stop_incrementation()}_btn_mouse_leave(){this._stop_incrementation()}_input_mouse_wheel(e){if(document.activeElement===this.input_el){e.preventDefault();const t=e.deltaY>0?-1:1;this.increment(t*this.model.step)}}_input_key_down(e){switch(e.keyCode){case r.Keys.Up:return e.preventDefault(),this.increment(this.model.step);case r.Keys.Down:return e.preventDefault(),this.increment(-this.model.step);case r.Keys.PageUp:return e.preventDefault(),this.increment(this.model.page_step_multiplier*this.model.step);case r.Keys.PageDown:return e.preventDefault(),this.increment(-this.model.page_step_multiplier*this.model.step)}}adjust_to_precision(e){return this.bound_value(Number(e.toFixed(this.precision)))}increment(e){const{low:t,high:i}=this.model;null==this.model.value?e>0?this.model.value=null!=t?t:null!=i?a(0,i):0:e<0&&(this.model.value=null!=i?i:null!=t?h(t,0):0):this.model.value=this.adjust_to_precision(this.model.value+e)}change_input(){super.change_input(),this.model.value_throttled=this.model.value}}i.SpinnerView=p,p.__name__=\"SpinnerView\";class m extends o.NumericInput{constructor(e){super(e)}}i.Spinner=m,l=m,m.__name__=\"Spinner\",l.prototype.default_view=p,l.define((({Number:e,Nullable:t})=>({value_throttled:[t(e),null],step:[e,1],page_step_multiplier:[e,10],wheel_wait:[e,100]}))),l.override({mode:\"float\"})},\n 486: function _(e,t,s,n,i){n();const o=e(1);var r;const c=e(447),l=e(43),p=(0,o.__importStar)(e(449));class _ extends c.TextLikeInputView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.rows.change,(()=>this.input_el.rows=this.model.rows)),this.connect(this.model.properties.cols.change,(()=>this.input_el.cols=this.model.cols))}_render_input(){this.input_el=(0,l.textarea)({class:p.input})}render(){super.render(),this.input_el.cols=this.model.cols,this.input_el.rows=this.model.rows}}s.TextAreaInputView=_,_.__name__=\"TextAreaInputView\";class a extends c.TextLikeInput{constructor(e){super(e)}}s.TextAreaInput=a,r=a,a.__name__=\"TextAreaInput\",r.prototype.default_view=_,r.define((({Int:e})=>({cols:[e,20],rows:[e,2]}))),r.override({max_length:500})},\n 487: function _(e,t,s,c,i){c();const o=e(1);var a;const n=e(441),l=e(43),_=(0,o.__importStar)(e(318));class r extends n.AbstractButtonView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,(()=>this._update_active()))}render(){super.render(),this._update_active()}click(){this.model.active=!this.model.active,super.click()}_update_active(){(0,l.classes)(this.button_el).toggle(_.active,this.model.active)}}s.ToggleView=r,r.__name__=\"ToggleView\";class g extends n.AbstractButton{constructor(e){super(e)}}s.Toggle=g,a=g,g.__name__=\"Toggle\",a.prototype.default_view=r,a.define((({Boolean:e})=>({active:[e,!1]}))),a.override({label:\"Toggle\"})},\n }, 439, {\"models/widgets/main\":439,\"models/widgets/index\":440,\"models/widgets/abstract_button\":441,\"models/widgets/control\":442,\"models/widgets/widget\":512,\"models/widgets/abstract_icon\":444,\"models/widgets/autocomplete_input\":445,\"models/widgets/text_input\":446,\"models/widgets/text_like_input\":447,\"models/widgets/input_widget\":448,\"styles/widgets/inputs.css\":449,\"models/widgets/button\":450,\"models/widgets/checkbox_button_group\":451,\"models/widgets/button_group\":452,\"models/widgets/oriented_control\":453,\"models/widgets/checkbox_group\":454,\"models/widgets/input_group\":455,\"models/widgets/color_picker\":456,\"models/widgets/date_picker\":457,\"styles/widgets/flatpickr.css\":459,\"models/widgets/date_range_slider\":460,\"models/widgets/abstract_slider\":461,\"styles/widgets/sliders.css\":463,\"styles/widgets/nouislider.css\":464,\"models/widgets/date_slider\":465,\"models/widgets/datetime_range_slider\":466,\"models/widgets/div\":467,\"models/widgets/markup\":468,\"styles/clearfix.css\":469,\"models/widgets/dropdown\":470,\"models/widgets/file_input\":471,\"models/widgets/multiselect\":472,\"models/widgets/paragraph\":473,\"models/widgets/password_input\":474,\"models/widgets/multichoice\":475,\"styles/widgets/choices.css\":477,\"models/widgets/numeric_input\":478,\"models/widgets/pretext\":479,\"models/widgets/radio_button_group\":480,\"models/widgets/radio_group\":481,\"models/widgets/range_slider\":482,\"models/widgets/selectbox\":483,\"models/widgets/slider\":484,\"models/widgets/spinner\":485,\"models/widgets/textarea_input\":486,\"models/widgets/toggle\":487}, {});});\n\n /* END bokeh-widgets.min.js */\n },\n function(Bokeh) {\n /* BEGIN bokeh-tables.min.js */\n /*!\n * Copyright (c) 2012 - 2022, Anaconda, Inc., and Bokeh Contributors\n * All rights reserved.\n * \n * Redistribution and use in source and binary forms, with or without modification,\n * are permitted provided that the following conditions are met:\n * \n * Redistributions of source code must retain the above copyright notice,\n * this list of conditions and the following disclaimer.\n * \n * Redistributions in binary form must reproduce the above copyright notice,\n * this list of conditions and the following disclaimer in the documentation\n * and/or other materials provided with the distribution.\n * \n * Neither the name of Anaconda nor the names of any contributors\n * may be used to endorse or promote products derived from this software\n * without specific prior written permission.\n * \n * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n * THE POSSIBILITY OF SUCH DAMAGE.\n */\n (function(root, factory) {\n factory(root[\"Bokeh\"], \"2.4.3\");\n })(this, function(Bokeh, version) {\n let define;\n return (function(modules, entry, aliases, externals) {\n const bokeh = typeof Bokeh !== \"undefined\" && (version != null ? Bokeh[version] : Bokeh);\n if (bokeh != null) {\n return bokeh.register_plugin(modules, entry, aliases);\n } else {\n throw new Error(\"Cannot find Bokeh \" + version + \". You have to load it prior to loading plugins.\");\n }\n })\n ({\n 488: function _(t,e,o,r,s){r();const _=(0,t(1).__importStar)(t(489));o.Tables=_;(0,t(7).register_models)(_)},\n 489: function _(g,a,r,e,t){e();const o=g(1);(0,o.__exportStar)(g(490),r),(0,o.__exportStar)(g(493),r),t(\"DataTable\",g(496).DataTable),t(\"TableColumn\",g(514).TableColumn),t(\"TableWidget\",g(513).TableWidget);var n=g(516);t(\"AvgAggregator\",n.AvgAggregator),t(\"MinAggregator\",n.MinAggregator),t(\"MaxAggregator\",n.MaxAggregator),t(\"SumAggregator\",n.SumAggregator);var A=g(517);t(\"GroupingInfo\",A.GroupingInfo),t(\"DataCube\",A.DataCube)},\n 490: function _(e,t,i,s,a){s();const r=e(1);var l,n,u,d,o,p,_,c,h;const E=e(43),V=e(226),m=e(53),f=e(491),v=(0,r.__importStar)(e(492));class w extends V.DOMView{constructor(e){const{model:t,parent:i}=e.column;super(Object.assign({model:t,parent:i},e)),this.args=e,this.initialize(),this.render()}get emptyValue(){return null}initialize(){super.initialize(),this.inputEl=this._createInput(),this.defaultValue=null}async lazy_initialize(){throw new Error(\"unsupported\")}css_classes(){return super.css_classes().concat(v.cell_editor)}render(){super.render(),this.args.container.append(this.el),this.el.appendChild(this.inputEl),this.renderEditor(),this.disableNavigation()}renderEditor(){}disableNavigation(){this.inputEl.addEventListener(\"keydown\",(e=>{switch(e.keyCode){case E.Keys.Left:case E.Keys.Right:case E.Keys.Up:case E.Keys.Down:case E.Keys.PageUp:case E.Keys.PageDown:e.stopImmediatePropagation()}}))}destroy(){this.remove()}focus(){this.inputEl.focus()}show(){}hide(){}position(){}getValue(){return this.inputEl.value}setValue(e){this.inputEl.value=e}serializeValue(){return this.getValue()}isValueChanged(){return!(\"\"==this.getValue()&&null==this.defaultValue)&&this.getValue()!==this.defaultValue}applyValue(e,t){const i=this.args.grid.getData(),s=i.index.indexOf(e[f.DTINDEX_NAME]);i.setField(s,this.args.column.field,t)}loadValue(e){const t=e[this.args.column.field];this.defaultValue=null!=t?t:this.emptyValue,this.setValue(this.defaultValue)}validateValue(e){if(this.args.column.validator){const t=this.args.column.validator(e);if(!t.valid)return t}return{valid:!0,msg:null}}validate(){return this.validateValue(this.getValue())}}i.CellEditorView=w,w.__name__=\"CellEditorView\";class g extends m.Model{}i.CellEditor=g,g.__name__=\"CellEditor\";class x extends w{get emptyValue(){return\"\"}_createInput(){return(0,E.input)({type:\"text\"})}renderEditor(){this.inputEl.focus(),this.inputEl.select()}loadValue(e){super.loadValue(e),this.inputEl.defaultValue=this.defaultValue,this.inputEl.select()}}i.StringEditorView=x,x.__name__=\"StringEditorView\";class y extends g{}i.StringEditor=y,l=y,y.__name__=\"StringEditor\",l.prototype.default_view=x,l.define((({String:e,Array:t})=>({completions:[t(e),[]]})));class I extends w{_createInput(){return(0,E.textarea)()}renderEditor(){this.inputEl.focus(),this.inputEl.select()}}i.TextEditorView=I,I.__name__=\"TextEditorView\";class b extends g{}i.TextEditor=b,n=b,b.__name__=\"TextEditor\",n.prototype.default_view=I;class N extends w{_createInput(){return(0,E.select)()}renderEditor(){for(const e of this.model.options)this.inputEl.appendChild((0,E.option)({value:e},e));this.focus()}}i.SelectEditorView=N,N.__name__=\"SelectEditorView\";class C extends g{}i.SelectEditor=C,u=C,C.__name__=\"SelectEditor\",u.prototype.default_view=N,u.define((({String:e,Array:t})=>({options:[t(e),[]]})));class D extends w{_createInput(){return(0,E.input)({type:\"text\"})}}i.PercentEditorView=D,D.__name__=\"PercentEditorView\";class S extends g{}i.PercentEditor=S,d=S,S.__name__=\"PercentEditor\",d.prototype.default_view=D;class k extends 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!root._bokeh_is_initializing)) {\n", " root._bokeh_timeout = Date.now() + 5000;\n", " root._bokeh_failed_load = false;\n", " }\n", @@ -91,16 +103,14 @@ " root._bokeh_onload_callbacks.push(callback);\n", "\n", " if (root._bokeh_is_loading > 0) {\n", + " // Don't load bokeh if it is still initializing\n", " console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n", " return null;\n", - " }\n", - " if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n", + " } else if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n", + " // There is nothing to load\n", " run_callbacks();\n", " return null;\n", " }\n", - " if (!reloading) {\n", - " console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n", - " }\n", "\n", " function on_load() {\n", " root._bokeh_is_loading--;\n", @@ -111,60 +121,33 @@ " }\n", " window._bokeh_on_load = on_load\n", "\n", - " function on_error() {\n", - " console.error(\"failed to load \" + url);\n", + " function on_error(e) {\n", + " const src_el = e.srcElement\n", + " console.error(\"failed to load \" + (src_el.href || src_el.src));\n", " }\n", "\n", - " var skip = [];\n", + " const skip = [];\n", " if (window.requirejs) {\n", - " window.requirejs.config({'packages': {}, 'paths': {'jspanel': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/jspanel', 'jspanel-modal': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal', 'jspanel-tooltip': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip', 'jspanel-hint': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint', 'jspanel-layout': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout', 'jspanel-contextmenu': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu', 'jspanel-dock': 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GridStack\n", - "\ton_load()\n", - " })\n", - " require([\"notyf\"], function() {\n", - "\ton_load()\n", - " })\n", - " root._bokeh_is_loading = css_urls.length + 9;\n", + " window.requirejs.config({'packages': {}, 'paths': {}, 'shim': {}});\n", + " root._bokeh_is_loading = css_urls.length + 0;\n", " } else {\n", " root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n", " }\n", "\n", - " var existing_stylesheets = []\n", - " var links = document.getElementsByTagName('link')\n", - " for (var i = 0; i < links.length; i++) {\n", - " var link = links[i]\n", + " const existing_stylesheets = []\n", + " const links = document.getElementsByTagName('link')\n", + " for (let i = 0; i < links.length; i++) {\n", + " const link = links[i]\n", " if (link.href != null) {\n", - "\texisting_stylesheets.push(link.href)\n", + " existing_stylesheets.push(link.href)\n", " }\n", " }\n", - " for (var i = 0; i < css_urls.length; i++) {\n", - " var url = css_urls[i];\n", - " if (existing_stylesheets.indexOf(url) !== -1) {\n", - "\ton_load()\n", - "\tcontinue;\n", + " for (let i = 0; i < css_urls.length; i++) {\n", + " const url = css_urls[i];\n", + " const escaped = encodeURI(url)\n", + " if (existing_stylesheets.indexOf(escaped) !== -1) {\n", + " on_load()\n", + " continue;\n", " }\n", " const element = document.createElement(\"link\");\n", " element.onload = on_load;\n", @@ -174,38 +157,24 @@ " element.href = url;\n", " console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n", " document.body.appendChild(element);\n", - " } if (((window['jsPanel'] !== undefined) && (!(window['jsPanel'] instanceof HTMLElement))) || window.requirejs) {\n", - " var urls = ['https://cdn.holoviz.org/panel/1.3.6/dist/bundled/floatpanel/jspanel4@4.12.0/dist/jspanel.js', 'https://cdn.holoviz.org/panel/1.3.6/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal.js', 'https://cdn.holoviz.org/panel/1.3.6/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip.js', 'https://cdn.holoviz.org/panel/1.3.6/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint.js', 'https://cdn.holoviz.org/panel/1.3.6/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout.js', 'https://cdn.holoviz.org/panel/1.3.6/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu.js', 'https://cdn.holoviz.org/panel/1.3.6/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock.js'];\n", - " for (var i = 0; i < urls.length; i++) {\n", - " skip.push(urls[i])\n", - " }\n", - " } if (((window['GridStack'] !== undefined) && (!(window['GridStack'] instanceof HTMLElement))) || window.requirejs) {\n", - " var urls = ['https://cdn.holoviz.org/panel/1.3.6/dist/bundled/gridstack/gridstack@7.2.3/dist/gridstack-all.js'];\n", - " for (var i = 0; i < urls.length; i++) {\n", - " skip.push(urls[i])\n", - " }\n", - " } if (((window['Notyf'] !== undefined) && (!(window['Notyf'] instanceof HTMLElement))) || window.requirejs) {\n", - " var urls = ['https://cdn.holoviz.org/panel/1.3.6/dist/bundled/notificationarea/notyf@3/notyf.min.js'];\n", - " for (var i = 0; i < urls.length; i++) {\n", - " skip.push(urls[i])\n", - " }\n", " } var existing_scripts = []\n", - " var scripts = document.getElementsByTagName('script')\n", - " for (var i = 0; i < scripts.length; i++) {\n", + " const scripts = document.getElementsByTagName('script')\n", + " for (let i = 0; i < scripts.length; i++) {\n", " var script = scripts[i]\n", " if (script.src != null) {\n", - "\texisting_scripts.push(script.src)\n", + " existing_scripts.push(script.src)\n", " }\n", " }\n", - " for (var i = 0; i < js_urls.length; i++) {\n", - " var url = js_urls[i];\n", - " if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n", - "\tif (!window.requirejs) {\n", - "\t on_load();\n", - "\t}\n", - "\tcontinue;\n", + " for (let i = 0; i < js_urls.length; i++) {\n", + " const url = js_urls[i];\n", + " const escaped = encodeURI(url)\n", + " if (skip.indexOf(escaped) !== -1 || existing_scripts.indexOf(escaped) !== -1) {\n", + " if (!window.requirejs) {\n", + " on_load();\n", + " }\n", + " continue;\n", " }\n", - " var element = document.createElement('script');\n", + " const element = document.createElement('script');\n", " element.onload = on_load;\n", " element.onerror = on_error;\n", " element.async = false;\n", @@ -213,13 +182,14 @@ " console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n", " document.head.appendChild(element);\n", " }\n", - " for (var i = 0; i < js_modules.length; i++) {\n", - " var url = js_modules[i];\n", - " if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n", - "\tif (!window.requirejs) {\n", - "\t on_load();\n", - "\t}\n", - "\tcontinue;\n", + " for (let i = 0; i < js_modules.length; i++) {\n", + " const url = js_modules[i];\n", + " const escaped = encodeURI(url)\n", + " if (skip.indexOf(escaped) !== -1 || existing_scripts.indexOf(escaped) !== -1) {\n", + " if (!window.requirejs) {\n", + " on_load();\n", + " }\n", + " continue;\n", " }\n", " var element = document.createElement('script');\n", " element.onload = on_load;\n", @@ -231,12 +201,13 @@ " document.head.appendChild(element);\n", " }\n", " for (const name in js_exports) {\n", - " var url = js_exports[name];\n", - " if (skip.indexOf(url) >= 0 || root[name] != null) {\n", - "\tif (!window.requirejs) {\n", - "\t on_load();\n", - "\t}\n", - "\tcontinue;\n", + " const url = js_exports[name];\n", + " const escaped = encodeURI(url)\n", + " if (skip.indexOf(escaped) >= 0 || root[name] != null) {\n", + " if (!window.requirejs) {\n", + " on_load();\n", + " }\n", + " continue;\n", " }\n", " var element = document.createElement('script');\n", " element.onerror = on_error;\n", @@ -261,11 +232,11 @@ " document.body.appendChild(element);\n", " }\n", "\n", - " var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.3.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.3.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.3.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.3.2.min.js\", \"https://cdn.holoviz.org/panel/1.3.6/dist/panel.min.js\"];\n", - " var js_modules = [];\n", - " var js_exports = {};\n", - " var css_urls = [];\n", - " var inline_js = [ function(Bokeh) {\n", + " const js_urls = [\"https://cdn.holoviz.org/panel/1.7.1/dist/bundled/reactiveesm/es-module-shims@^1.10.0/dist/es-module-shims.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-3.7.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.7.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.7.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.7.3.min.js\", \"https://cdn.holoviz.org/panel/1.7.1/dist/panel.min.js\"];\n", + " const js_modules = [];\n", + " const js_exports = {};\n", + " const css_urls = [];\n", + " const inline_js = [ function(Bokeh) {\n", " Bokeh.set_log_level(\"info\");\n", " },\n", "function(Bokeh) {} // ensure no trailing comma for IE\n", @@ -273,26 +244,27 @@ "\n", " function run_inline_js() {\n", " if ((root.Bokeh !== undefined) || (force === true)) {\n", - " for (var i = 0; i < inline_js.length; i++) {\n", - "\ttry {\n", + " for (let i = 0; i < inline_js.length; i++) {\n", + " try {\n", " inline_js[i].call(root, root.Bokeh);\n", - "\t} catch(e) {\n", - "\t if (!reloading) {\n", - "\t throw e;\n", - "\t }\n", - "\t}\n", + " } catch(e) {\n", + " if (!reloading) {\n", + " throw e;\n", + " }\n", + " }\n", " }\n", " // Cache old bokeh versions\n", " if (Bokeh != undefined && !reloading) {\n", - "\tvar NewBokeh = root.Bokeh;\n", - "\tif (Bokeh.versions === undefined) {\n", - "\t Bokeh.versions = new Map();\n", - "\t}\n", - "\tif (NewBokeh.version !== Bokeh.version) {\n", - "\t Bokeh.versions.set(NewBokeh.version, NewBokeh)\n", - "\t}\n", - "\troot.Bokeh = Bokeh;\n", - " }} else if (Date.now() < root._bokeh_timeout) {\n", + " var NewBokeh = root.Bokeh;\n", + " if (Bokeh.versions === undefined) {\n", + " Bokeh.versions = new Map();\n", + " }\n", + " if (NewBokeh.version !== Bokeh.version) {\n", + " Bokeh.versions.set(NewBokeh.version, NewBokeh)\n", + " }\n", + " root.Bokeh = Bokeh;\n", + " }\n", + " } else if (Date.now() < root._bokeh_timeout) {\n", " setTimeout(run_inline_js, 100);\n", " } else if (!root._bokeh_failed_load) {\n", " console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n", @@ -310,8 +282,12 @@ " // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n", " // before older versions are fully initialized.\n", " if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n", + " // If the timeout and bokeh was not successfully loaded we reset\n", + " // everything and try loading again\n", + " root._bokeh_timeout = Date.now() + 5000;\n", " root._bokeh_is_initializing = false;\n", " root._bokeh_onload_callbacks = undefined;\n", + " root._bokeh_is_loading = 0\n", " console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n", " load_or_wait();\n", " } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n", @@ -319,13 +295,16 @@ " } else {\n", " root._bokeh_is_initializing = true\n", " root._bokeh_onload_callbacks = []\n", - " var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n", + " const bokeh_loaded = root.Bokeh != null && (root.Bokeh.version === py_version || (root.Bokeh.versions !== undefined && root.Bokeh.versions.has(py_version)));\n", " if (!reloading && !bokeh_loaded) {\n", - "\troot.Bokeh = undefined;\n", + " if (root.Bokeh) {\n", + " root.Bokeh = undefined;\n", + " }\n", + " console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n", " }\n", " load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n", - "\tconsole.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n", - "\trun_inline_js();\n", + " console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n", + " run_inline_js();\n", " });\n", " }\n", " }\n", @@ -334,7 +313,7 @@ " setTimeout(load_or_wait, 100)\n", "}(window));" ], - "application/vnd.holoviews_load.v0+json": "(function(root) {\n function now() {\n return new Date();\n }\n\n var force = true;\n var py_version = '3.3.2'.replace('rc', '-rc.').replace('.dev', '-dev.');\n var reloading = false;\n var Bokeh = root.Bokeh;\n\n if (typeof (root._bokeh_timeout) === \"undefined\" || force) {\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_failed_load = false;\n }\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) {\n if (callback != null)\n callback();\n });\n } finally {\n delete root._bokeh_onload_callbacks;\n }\n console.debug(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(css_urls, js_urls, js_modules, js_exports, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n if (js_modules == null) js_modules = [];\n if (js_exports == null) js_exports = {};\n\n root._bokeh_onload_callbacks.push(callback);\n\n if (root._bokeh_is_loading > 0) {\n console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n }\n if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n run_callbacks();\n return null;\n }\n if (!reloading) {\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n }\n\n function on_load() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n run_callbacks()\n }\n }\n window._bokeh_on_load = on_load\n\n function on_error() {\n console.error(\"failed to load \" + url);\n }\n\n var skip = [];\n if (window.requirejs) {\n window.requirejs.config({'packages': {}, 'paths': {'jspanel': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/jspanel', 'jspanel-modal': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal', 'jspanel-tooltip': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip', 'jspanel-hint': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint', 'jspanel-layout': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout', 'jspanel-contextmenu': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu', 'jspanel-dock': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock', 'gridstack': 'https://cdn.jsdelivr.net/npm/gridstack@7.2.3/dist/gridstack-all', 'notyf': 'https://cdn.jsdelivr.net/npm/notyf@3/notyf.min'}, 'shim': {'jspanel': {'exports': 'jsPanel'}, 'gridstack': {'exports': 'GridStack'}}});\n require([\"jspanel\"], function(jsPanel) {\n\twindow.jsPanel = jsPanel\n\ton_load()\n })\n require([\"jspanel-modal\"], function() {\n\ton_load()\n })\n require([\"jspanel-tooltip\"], function() {\n\ton_load()\n })\n require([\"jspanel-hint\"], function() {\n\ton_load()\n })\n require([\"jspanel-layout\"], function() {\n\ton_load()\n })\n require([\"jspanel-contextmenu\"], function() {\n\ton_load()\n })\n require([\"jspanel-dock\"], function() {\n\ton_load()\n })\n require([\"gridstack\"], function(GridStack) {\n\twindow.GridStack = GridStack\n\ton_load()\n })\n require([\"notyf\"], function() {\n\ton_load()\n })\n root._bokeh_is_loading = css_urls.length + 9;\n } else {\n root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n }\n\n var existing_stylesheets = []\n var links = document.getElementsByTagName('link')\n for (var i = 0; i < links.length; i++) {\n var link = links[i]\n if (link.href != null) {\n\texisting_stylesheets.push(link.href)\n }\n }\n for (var i = 0; i < css_urls.length; i++) {\n var url = css_urls[i];\n if (existing_stylesheets.indexOf(url) !== -1) {\n\ton_load()\n\tcontinue;\n }\n const element = document.createElement(\"link\");\n element.onload = on_load;\n element.onerror = on_error;\n element.rel = \"stylesheet\";\n element.type = \"text/css\";\n element.href = url;\n console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n document.body.appendChild(element);\n } if (((window['jsPanel'] !== undefined) && (!(window['jsPanel'] instanceof HTMLElement))) || window.requirejs) {\n var urls = ['https://cdn.holoviz.org/panel/1.3.6/dist/bundled/floatpanel/jspanel4@4.12.0/dist/jspanel.js', 'https://cdn.holoviz.org/panel/1.3.6/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal.js', 'https://cdn.holoviz.org/panel/1.3.6/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip.js', 'https://cdn.holoviz.org/panel/1.3.6/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint.js', 'https://cdn.holoviz.org/panel/1.3.6/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout.js', 'https://cdn.holoviz.org/panel/1.3.6/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu.js', 'https://cdn.holoviz.org/panel/1.3.6/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock.js'];\n for (var i = 0; i < urls.length; i++) {\n skip.push(urls[i])\n }\n } if (((window['GridStack'] !== undefined) && (!(window['GridStack'] instanceof HTMLElement))) || window.requirejs) {\n var urls = ['https://cdn.holoviz.org/panel/1.3.6/dist/bundled/gridstack/gridstack@7.2.3/dist/gridstack-all.js'];\n for (var i = 0; i < urls.length; i++) {\n skip.push(urls[i])\n }\n } if (((window['Notyf'] !== undefined) && (!(window['Notyf'] instanceof HTMLElement))) || window.requirejs) {\n var urls = ['https://cdn.holoviz.org/panel/1.3.6/dist/bundled/notificationarea/notyf@3/notyf.min.js'];\n for (var i = 0; i < urls.length; i++) {\n skip.push(urls[i])\n }\n } var existing_scripts = []\n var scripts = document.getElementsByTagName('script')\n for (var i = 0; i < scripts.length; i++) {\n var script = scripts[i]\n if (script.src != null) {\n\texisting_scripts.push(script.src)\n }\n }\n for (var i = 0; i < js_urls.length; i++) {\n var url = js_urls[i];\n if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t on_load();\n\t}\n\tcontinue;\n }\n var element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error;\n element.async = false;\n element.src = url;\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n for (var i = 0; i < js_modules.length; i++) {\n var url = js_modules[i];\n if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t on_load();\n\t}\n\tcontinue;\n }\n var element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error;\n element.async = false;\n element.src = url;\n element.type = \"module\";\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n for (const name in js_exports) {\n var url = js_exports[name];\n if (skip.indexOf(url) >= 0 || root[name] != null) {\n\tif (!window.requirejs) {\n\t on_load();\n\t}\n\tcontinue;\n }\n var element = document.createElement('script');\n element.onerror = on_error;\n element.async = false;\n element.type = \"module\";\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n element.textContent = `\n import ${name} from \"${url}\"\n window.${name} = ${name}\n window._bokeh_on_load()\n `\n document.head.appendChild(element);\n }\n if (!js_urls.length && !js_modules.length) {\n on_load()\n }\n };\n\n function inject_raw_css(css) {\n const element = document.createElement(\"style\");\n element.appendChild(document.createTextNode(css));\n document.body.appendChild(element);\n }\n\n var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.3.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.3.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.3.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.3.2.min.js\", \"https://cdn.holoviz.org/panel/1.3.6/dist/panel.min.js\"];\n var js_modules = [];\n var js_exports = {};\n var css_urls = [];\n var inline_js = [ function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\nfunction(Bokeh) {} // ensure no trailing comma for IE\n ];\n\n function run_inline_js() {\n if ((root.Bokeh !== undefined) || (force === true)) {\n for (var i = 0; i < inline_js.length; i++) {\n\ttry {\n inline_js[i].call(root, root.Bokeh);\n\t} catch(e) {\n\t if (!reloading) {\n\t throw e;\n\t }\n\t}\n }\n // Cache old bokeh versions\n if (Bokeh != undefined && !reloading) {\n\tvar NewBokeh = root.Bokeh;\n\tif (Bokeh.versions === undefined) {\n\t Bokeh.versions = new Map();\n\t}\n\tif (NewBokeh.version !== Bokeh.version) {\n\t Bokeh.versions.set(NewBokeh.version, NewBokeh)\n\t}\n\troot.Bokeh = Bokeh;\n }} else if (Date.now() < root._bokeh_timeout) {\n setTimeout(run_inline_js, 100);\n } else if (!root._bokeh_failed_load) {\n console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n root._bokeh_failed_load = true;\n }\n root._bokeh_is_initializing = false\n }\n\n function load_or_wait() {\n // Implement a backoff loop that tries to ensure we do not load multiple\n // versions of Bokeh and its dependencies at the same time.\n // In recent versions we use the root._bokeh_is_initializing flag\n // to determine whether there is an ongoing attempt to initialize\n // bokeh, however for backward compatibility we also try to ensure\n // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n // before older versions are fully initialized.\n if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n root._bokeh_is_initializing = false;\n root._bokeh_onload_callbacks = undefined;\n console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n load_or_wait();\n } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n setTimeout(load_or_wait, 100);\n } else {\n root._bokeh_is_initializing = true\n root._bokeh_onload_callbacks = []\n var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n if (!reloading && !bokeh_loaded) {\n\troot.Bokeh = undefined;\n }\n load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n\tconsole.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n\trun_inline_js();\n });\n }\n }\n // Give older versions of the autoload script a head-start to ensure\n // they initialize before we start loading newer version.\n setTimeout(load_or_wait, 100)\n}(window));" + "application/vnd.holoviews_load.v0+json": "(function(root) {\n function now() {\n return new Date();\n }\n\n const force = true;\n const py_version = '3.7.3'.replace('rc', '-rc.').replace('.dev', '-dev.');\n const reloading = false;\n const Bokeh = root.Bokeh;\n\n // Set a timeout for this load but only if we are not already initializing\n if (typeof (root._bokeh_timeout) === \"undefined\" || (force || !root._bokeh_is_initializing)) {\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_failed_load = false;\n }\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) {\n if (callback != null)\n callback();\n });\n } finally {\n delete root._bokeh_onload_callbacks;\n }\n console.debug(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(css_urls, js_urls, js_modules, js_exports, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n if (js_modules == null) js_modules = [];\n if (js_exports == null) js_exports = {};\n\n root._bokeh_onload_callbacks.push(callback);\n\n if (root._bokeh_is_loading > 0) {\n // Don't load bokeh if it is still initializing\n console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n } else if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n // There is nothing to load\n run_callbacks();\n return null;\n }\n\n function on_load() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n run_callbacks()\n }\n }\n window._bokeh_on_load = on_load\n\n function on_error(e) {\n const src_el = e.srcElement\n console.error(\"failed to load \" + (src_el.href || src_el.src));\n }\n\n const skip = [];\n if (window.requirejs) {\n window.requirejs.config({'packages': {}, 'paths': {}, 'shim': {}});\n root._bokeh_is_loading = css_urls.length + 0;\n } else {\n root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n }\n\n const existing_stylesheets = []\n const links = document.getElementsByTagName('link')\n for (let i = 0; i < links.length; i++) {\n const link = links[i]\n if (link.href != null) {\n existing_stylesheets.push(link.href)\n }\n }\n for (let i = 0; i < css_urls.length; i++) {\n const url = css_urls[i];\n const escaped = encodeURI(url)\n if (existing_stylesheets.indexOf(escaped) !== -1) {\n on_load()\n continue;\n }\n const element = document.createElement(\"link\");\n element.onload = on_load;\n element.onerror = on_error;\n element.rel = \"stylesheet\";\n element.type = \"text/css\";\n element.href = url;\n console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n document.body.appendChild(element);\n } var existing_scripts = []\n const scripts = document.getElementsByTagName('script')\n for (let i = 0; i < scripts.length; i++) {\n var script = scripts[i]\n if (script.src != null) {\n existing_scripts.push(script.src)\n }\n }\n for (let i = 0; i < js_urls.length; i++) {\n const url = js_urls[i];\n const escaped = encodeURI(url)\n if (skip.indexOf(escaped) !== -1 || existing_scripts.indexOf(escaped) !== -1) {\n if (!window.requirejs) {\n on_load();\n }\n continue;\n }\n const element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error;\n element.async = false;\n element.src = url;\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n for (let i = 0; i < js_modules.length; i++) {\n const url = js_modules[i];\n const escaped = encodeURI(url)\n if 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document.head.appendChild(element);\n }\n if (!js_urls.length && !js_modules.length) {\n on_load()\n }\n };\n\n function inject_raw_css(css) {\n const element = document.createElement(\"style\");\n element.appendChild(document.createTextNode(css));\n document.body.appendChild(element);\n }\n\n const js_urls = [\"https://cdn.holoviz.org/panel/1.7.1/dist/bundled/reactiveesm/es-module-shims@^1.10.0/dist/es-module-shims.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-3.7.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.7.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.7.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.7.3.min.js\", \"https://cdn.holoviz.org/panel/1.7.1/dist/panel.min.js\"];\n const js_modules = [];\n const js_exports = {};\n const css_urls = [];\n const inline_js = [ function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\nfunction(Bokeh) {} // ensure no trailing comma for IE\n ];\n\n function run_inline_js() {\n if ((root.Bokeh !== undefined) || (force === true)) {\n for (let i = 0; i < inline_js.length; i++) {\n try {\n inline_js[i].call(root, root.Bokeh);\n } catch(e) {\n if (!reloading) {\n throw e;\n }\n }\n }\n // Cache old bokeh versions\n if (Bokeh != undefined && !reloading) {\n var NewBokeh = root.Bokeh;\n if (Bokeh.versions === undefined) {\n Bokeh.versions = new Map();\n }\n if (NewBokeh.version !== Bokeh.version) {\n Bokeh.versions.set(NewBokeh.version, NewBokeh)\n }\n root.Bokeh = Bokeh;\n }\n } else if (Date.now() < root._bokeh_timeout) {\n setTimeout(run_inline_js, 100);\n } else if (!root._bokeh_failed_load) {\n console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n root._bokeh_failed_load = true;\n }\n root._bokeh_is_initializing = false\n }\n\n function load_or_wait() {\n // Implement a backoff loop that tries to ensure we do not load multiple\n // versions of Bokeh and its dependencies at the same time.\n // In recent versions we use the root._bokeh_is_initializing flag\n // to determine whether there is an ongoing attempt to initialize\n // bokeh, however for backward compatibility we also try to ensure\n // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n // before older versions are fully initialized.\n if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n // If the timeout and bokeh was not successfully loaded we reset\n // everything and try loading again\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_is_initializing = false;\n root._bokeh_onload_callbacks = undefined;\n root._bokeh_is_loading = 0\n console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n load_or_wait();\n } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n setTimeout(load_or_wait, 100);\n } else {\n root._bokeh_is_initializing = true\n root._bokeh_onload_callbacks = []\n const bokeh_loaded = root.Bokeh != null && (root.Bokeh.version === py_version || (root.Bokeh.versions !== undefined && root.Bokeh.versions.has(py_version)));\n if (!reloading && !bokeh_loaded) {\n if (root.Bokeh) {\n root.Bokeh = undefined;\n }\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n }\n load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n run_inline_js();\n });\n }\n }\n // Give older versions of the autoload script a head-start to ensure\n // they initialize before we start loading newer version.\n setTimeout(load_or_wait, 100)\n}(window));" }, "metadata": {}, "output_type": "display_data" @@ -413,7 +392,7 @@ " }\n", " return messages.next().then(processIteratorResult);\n", " }\n", - " }) \n", + " })\n", " var sendClosure = (data, metadata, buffers, disposeOnDone) => {\n", " return comm_promise.then((comm) => {\n", " comm.send(data, metadata, buffers, disposeOnDone);\n", @@ -582,31 +561,7 @@ " }\n", "}\n" ], - "application/vnd.holoviews_load.v0+json": "\nif ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n}\n\n\n function JupyterCommManager() {\n }\n\n JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n comm_manager.register_target(comm_id, function(comm) {\n comm.on_msg(msg_handler);\n });\n } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n comm.onMsg = msg_handler;\n });\n } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n 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{}, {}, {}, comm_id);\n if (msg_handler) {\n comm.on_msg(msg_handler);\n }\n } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n var comm = window.PyViz.kernels[plot_id].connectToComm(comm_id);\n comm.open();\n if (msg_handler) {\n comm.onMsg = msg_handler;\n }\n } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n var comm_promise = google.colab.kernel.comms.open(comm_id)\n comm_promise.then((comm) => {\n window.PyViz.comms[comm_id] = comm;\n if (msg_handler) {\n var messages = comm.messages[Symbol.asyncIterator]();\n function processIteratorResult(result) {\n var message = result.value;\n var content = {data: message.data};\n var metadata = message.metadata || {comm_id};\n var msg = {content, metadata}\n msg_handler(msg);\n return messages.next().then(processIteratorResult);\n }\n return messages.next().then(processIteratorResult);\n }\n }) \n var sendClosure = (data, metadata, buffers, disposeOnDone) => {\n return 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output_area._hv_plot_id = id;\n if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n window.PyViz.plot_index[id] = Bokeh.index[id];\n } else {\n window.PyViz.plot_index[id] = null;\n }\n } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n var bk_div = document.createElement(\"div\");\n bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n var script_attrs = bk_div.children[0].attributes;\n for (var i = 0; i < script_attrs.length; i++) {\n toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n }\n // store reference to server id on output_area\n output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n }\n}\n\n/**\n * Handle when an output is cleared or removed\n */\nfunction handle_clear_output(event, handle) {\n var id = handle.cell.output_area._hv_plot_id;\n var server_id = handle.cell.output_area._bokeh_server_id;\n if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n if (server_id !== null) {\n comm.send({event_type: 'server_delete', 'id': server_id});\n return;\n } else if (comm !== null) {\n comm.send({event_type: 'delete', 'id': id});\n }\n delete PyViz.plot_index[id];\n if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n var doc = window.Bokeh.index[id].model.document\n doc.clear();\n const i = window.Bokeh.documents.indexOf(doc);\n if (i > -1) {\n window.Bokeh.documents.splice(i, 1);\n }\n }\n}\n\n/**\n * Handle kernel restart event\n */\nfunction handle_kernel_cleanup(event, handle) {\n delete PyViz.comms[\"hv-extension-comm\"];\n window.PyViz.plot_index = {}\n}\n\n/**\n * Handle update_display_data messages\n */\nfunction handle_update_output(event, handle) {\n handle_clear_output(event, {cell: {output_area: handle.output_area}})\n handle_add_output(event, handle)\n}\n\nfunction register_renderer(events, OutputArea) {\n function append_mime(data, metadata, element) {\n // create a DOM node to render to\n var toinsert = this.create_output_subarea(\n metadata,\n CLASS_NAME,\n EXEC_MIME_TYPE\n );\n this.keyboard_manager.register_events(toinsert);\n // Render to node\n var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n render(props, toinsert[0]);\n element.append(toinsert);\n return toinsert\n }\n\n events.on('output_added.OutputArea', handle_add_output);\n events.on('output_updated.OutputArea', handle_update_output);\n events.on('clear_output.CodeCell', handle_clear_output);\n events.on('delete.Cell', handle_clear_output);\n events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n\n OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n safe: true,\n index: 0\n });\n}\n\nif (window.Jupyter !== undefined) {\n try {\n var events = require('base/js/events');\n var OutputArea = require('notebook/js/outputarea').OutputArea;\n if 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window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n comm.onMsg = msg_handler;\n });\n } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n google.colab.kernel.comms.registerTarget(comm_id, (comm) => {\n var messages = comm.messages[Symbol.asyncIterator]();\n function processIteratorResult(result) {\n var message = result.value;\n console.log(message)\n var content = {data: message.data, comm_id};\n var buffers = []\n for (var buffer of message.buffers || []) {\n buffers.push(new DataView(buffer))\n }\n var metadata = message.metadata || {};\n var msg = {content, buffers, metadata}\n msg_handler(msg);\n return messages.next().then(processIteratorResult);\n }\n return messages.next().then(processIteratorResult);\n })\n }\n }\n\n JupyterCommManager.prototype.get_client_comm = function(plot_id, comm_id, msg_handler) {\n if (comm_id in window.PyViz.comms) {\n return window.PyViz.comms[comm_id];\n } else if (window.comm_manager || 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handle.output;\n if ((output.data == undefined) || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n return\n }\n var id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n if (id !== undefined) {\n var nchildren = toinsert.length;\n var html_node = toinsert[nchildren-1].children[0];\n html_node.innerHTML = output.data[HTML_MIME_TYPE];\n var scripts = [];\n var nodelist = html_node.querySelectorAll(\"script\");\n for (var i in nodelist) {\n if (nodelist.hasOwnProperty(i)) {\n scripts.push(nodelist[i])\n }\n }\n\n scripts.forEach( function (oldScript) {\n var newScript = document.createElement(\"script\");\n var attrs = [];\n var nodemap = oldScript.attributes;\n for (var j in nodemap) {\n if (nodemap.hasOwnProperty(j)) {\n attrs.push(nodemap[j])\n }\n }\n attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n oldScript.parentNode.replaceChild(newScript, oldScript);\n });\n if (JS_MIME_TYPE in output.data) {\n toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n }\n output_area._hv_plot_id = id;\n if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n window.PyViz.plot_index[id] = Bokeh.index[id];\n } else {\n window.PyViz.plot_index[id] = null;\n }\n } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n var bk_div = document.createElement(\"div\");\n bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n var script_attrs = bk_div.children[0].attributes;\n for (var i = 0; i < script_attrs.length; i++) {\n toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n }\n // store reference to server id on output_area\n output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n }\n}\n\n/**\n * Handle when an output is cleared or removed\n */\nfunction handle_clear_output(event, handle) {\n var id = handle.cell.output_area._hv_plot_id;\n var server_id = handle.cell.output_area._bokeh_server_id;\n if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n if (server_id !== null) {\n comm.send({event_type: 'server_delete', 'id': server_id});\n return;\n } else if (comm !== null) {\n comm.send({event_type: 'delete', 'id': id});\n }\n delete PyViz.plot_index[id];\n if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n var doc = window.Bokeh.index[id].model.document\n doc.clear();\n const i = window.Bokeh.documents.indexOf(doc);\n if (i > -1) {\n window.Bokeh.documents.splice(i, 1);\n }\n }\n}\n\n/**\n * Handle kernel restart event\n */\nfunction handle_kernel_cleanup(event, handle) {\n delete PyViz.comms[\"hv-extension-comm\"];\n window.PyViz.plot_index = {}\n}\n\n/**\n * Handle update_display_data messages\n */\nfunction handle_update_output(event, handle) {\n handle_clear_output(event, {cell: {output_area: handle.output_area}})\n handle_add_output(event, handle)\n}\n\nfunction register_renderer(events, OutputArea) {\n function append_mime(data, metadata, element) {\n // create a DOM node to render to\n var toinsert = this.create_output_subarea(\n metadata,\n CLASS_NAME,\n EXEC_MIME_TYPE\n );\n this.keyboard_manager.register_events(toinsert);\n // Render to node\n var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n render(props, toinsert[0]);\n element.append(toinsert);\n return toinsert\n }\n\n events.on('output_added.OutputArea', handle_add_output);\n events.on('output_updated.OutputArea', handle_update_output);\n events.on('clear_output.CodeCell', handle_clear_output);\n events.on('delete.Cell', handle_clear_output);\n events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n\n OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n safe: true,\n index: 0\n });\n}\n\nif (window.Jupyter !== undefined) {\n try {\n var events = require('base/js/events');\n var OutputArea = require('notebook/js/outputarea').OutputArea;\n if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n register_renderer(events, OutputArea);\n }\n } catch(err) {\n }\n}\n" }, "metadata": {}, "output_type": "display_data" @@ -615,26 +570,31 @@ "data": { "application/vnd.holoviews_exec.v0+json": "", "text/html": [ - "
\n", - "
\n", + "
\n", + "
\n", "
\n", "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, { "data": { "application/javascript": [ @@ -37,12 +48,13 @@ " return new Date();\n", " }\n", "\n", - " var force = true;\n", - " var py_version = '3.3.2'.replace('rc', '-rc.').replace('.dev', '-dev.');\n", - " var reloading = false;\n", - " var Bokeh = root.Bokeh;\n", + " const force = true;\n", + " const py_version = '3.7.3'.replace('rc', '-rc.').replace('.dev', '-dev.');\n", + " const reloading = false;\n", + " const Bokeh = root.Bokeh;\n", "\n", - " if (typeof (root._bokeh_timeout) === \"undefined\" || force) {\n", + " // Set a timeout for this load but only if we are not already initializing\n", + " if (typeof (root._bokeh_timeout) === \"undefined\" || (force || !root._bokeh_is_initializing)) {\n", " root._bokeh_timeout = Date.now() + 5000;\n", " root._bokeh_failed_load = false;\n", " }\n", @@ -68,16 +80,14 @@ " root._bokeh_onload_callbacks.push(callback);\n", "\n", " if (root._bokeh_is_loading > 0) {\n", + " // Don't load bokeh if it is still initializing\n", " console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n", " return null;\n", - " }\n", - " if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n", + " } else if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n", + " // There is nothing to load\n", " run_callbacks();\n", " return null;\n", " }\n", - " if (!reloading) {\n", - " console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n", - " }\n", "\n", " function on_load() {\n", " root._bokeh_is_loading--;\n", @@ -88,60 +98,33 @@ " }\n", " window._bokeh_on_load = on_load\n", "\n", - " function on_error() {\n", - " console.error(\"failed to load \" + url);\n", + " function on_error(e) {\n", + " const src_el = e.srcElement\n", + " console.error(\"failed to load \" + (src_el.href || src_el.src));\n", " }\n", "\n", - " var skip = [];\n", + " const skip = [];\n", " if (window.requirejs) {\n", - " window.requirejs.config({'packages': {}, 'paths': {'jspanel': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/jspanel', 'jspanel-modal': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal', 'jspanel-tooltip': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip', 'jspanel-hint': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint', 'jspanel-layout': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout', 'jspanel-contextmenu': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu', 'jspanel-dock': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock', 'gridstack': 'https://cdn.jsdelivr.net/npm/gridstack@7.2.3/dist/gridstack-all', 'notyf': 'https://cdn.jsdelivr.net/npm/notyf@3/notyf.min'}, 'shim': {'jspanel': {'exports': 'jsPanel'}, 'gridstack': {'exports': 'GridStack'}}});\n", - " require([\"jspanel\"], function(jsPanel) {\n", - "\twindow.jsPanel = jsPanel\n", - "\ton_load()\n", - " })\n", - " require([\"jspanel-modal\"], function() {\n", - "\ton_load()\n", - " })\n", - " require([\"jspanel-tooltip\"], function() {\n", - "\ton_load()\n", - " })\n", - " require([\"jspanel-hint\"], function() {\n", - "\ton_load()\n", - " })\n", - " require([\"jspanel-layout\"], function() {\n", - "\ton_load()\n", - " })\n", - " require([\"jspanel-contextmenu\"], function() {\n", - "\ton_load()\n", - " })\n", - " require([\"jspanel-dock\"], function() {\n", - "\ton_load()\n", - " })\n", - " require([\"gridstack\"], function(GridStack) {\n", - "\twindow.GridStack = GridStack\n", - "\ton_load()\n", - " })\n", - " require([\"notyf\"], function() {\n", - "\ton_load()\n", - " })\n", - " root._bokeh_is_loading = css_urls.length + 9;\n", + " window.requirejs.config({'packages': {}, 'paths': {}, 'shim': {}});\n", + " root._bokeh_is_loading = css_urls.length + 0;\n", " } else {\n", " root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n", " }\n", "\n", - " var existing_stylesheets = []\n", - " var links = document.getElementsByTagName('link')\n", - " for (var i = 0; i < links.length; i++) {\n", - " var link = links[i]\n", + " const existing_stylesheets = []\n", + " const links = document.getElementsByTagName('link')\n", + " for (let i = 0; i < links.length; i++) {\n", + " const link = links[i]\n", " if (link.href != null) {\n", - "\texisting_stylesheets.push(link.href)\n", + " existing_stylesheets.push(link.href)\n", " }\n", " }\n", - " for (var i = 0; i < css_urls.length; i++) {\n", - " var url = css_urls[i];\n", - " if (existing_stylesheets.indexOf(url) !== -1) {\n", - "\ton_load()\n", - "\tcontinue;\n", + " for (let i = 0; i < css_urls.length; i++) {\n", + " const url = css_urls[i];\n", + " const escaped = encodeURI(url)\n", + " if (existing_stylesheets.indexOf(escaped) !== -1) {\n", + " on_load()\n", + " continue;\n", " }\n", " const element = document.createElement(\"link\");\n", " element.onload = on_load;\n", @@ -151,38 +134,24 @@ " element.href = url;\n", " console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n", " document.body.appendChild(element);\n", - " } if (((window['jsPanel'] !== undefined) && (!(window['jsPanel'] instanceof HTMLElement))) || window.requirejs) {\n", - " var urls = ['https://cdn.holoviz.org/panel/1.3.6/dist/bundled/floatpanel/jspanel4@4.12.0/dist/jspanel.js', 'https://cdn.holoviz.org/panel/1.3.6/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal.js', 'https://cdn.holoviz.org/panel/1.3.6/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip.js', 'https://cdn.holoviz.org/panel/1.3.6/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint.js', 'https://cdn.holoviz.org/panel/1.3.6/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout.js', 'https://cdn.holoviz.org/panel/1.3.6/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu.js', 'https://cdn.holoviz.org/panel/1.3.6/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock.js'];\n", - " for (var i = 0; i < urls.length; i++) {\n", - " skip.push(urls[i])\n", - " }\n", - " } if (((window['GridStack'] !== undefined) && (!(window['GridStack'] instanceof HTMLElement))) || window.requirejs) {\n", - " var urls = ['https://cdn.holoviz.org/panel/1.3.6/dist/bundled/gridstack/gridstack@7.2.3/dist/gridstack-all.js'];\n", - " for (var i = 0; i < urls.length; i++) {\n", - " skip.push(urls[i])\n", - " }\n", - " } if (((window['Notyf'] !== undefined) && (!(window['Notyf'] instanceof HTMLElement))) || window.requirejs) {\n", - " var urls = ['https://cdn.holoviz.org/panel/1.3.6/dist/bundled/notificationarea/notyf@3/notyf.min.js'];\n", - " for (var i = 0; i < urls.length; i++) {\n", - " skip.push(urls[i])\n", - " }\n", " } var existing_scripts = []\n", - " var scripts = document.getElementsByTagName('script')\n", - " for (var i = 0; i < scripts.length; i++) {\n", + " const scripts = document.getElementsByTagName('script')\n", + " for (let i = 0; i < scripts.length; i++) {\n", " var script = scripts[i]\n", " if (script.src != null) {\n", - "\texisting_scripts.push(script.src)\n", + " existing_scripts.push(script.src)\n", " }\n", " }\n", - " for (var i = 0; i < js_urls.length; i++) {\n", - " var url = js_urls[i];\n", - " if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n", - "\tif (!window.requirejs) {\n", - "\t on_load();\n", - "\t}\n", - "\tcontinue;\n", + " for (let i = 0; i < js_urls.length; i++) {\n", + " const url = js_urls[i];\n", + " const escaped = encodeURI(url)\n", + " if (skip.indexOf(escaped) !== -1 || existing_scripts.indexOf(escaped) !== -1) {\n", + " if (!window.requirejs) {\n", + " on_load();\n", + " }\n", + " continue;\n", " }\n", - " var element = document.createElement('script');\n", + " const element = document.createElement('script');\n", " element.onload = on_load;\n", " element.onerror = on_error;\n", " element.async = false;\n", @@ -190,13 +159,14 @@ " console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n", " document.head.appendChild(element);\n", " }\n", - " for (var i = 0; i < js_modules.length; i++) {\n", - " var url = js_modules[i];\n", - " if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n", - "\tif (!window.requirejs) {\n", - "\t on_load();\n", - "\t}\n", - "\tcontinue;\n", + " for (let i = 0; i < js_modules.length; i++) {\n", + " const url = js_modules[i];\n", + " const escaped = encodeURI(url)\n", + " if (skip.indexOf(escaped) !== -1 || existing_scripts.indexOf(escaped) !== -1) {\n", + " if (!window.requirejs) {\n", + " on_load();\n", + " }\n", + " continue;\n", " }\n", " var element = document.createElement('script');\n", " element.onload = on_load;\n", @@ -208,12 +178,13 @@ " document.head.appendChild(element);\n", " }\n", " for (const name in js_exports) {\n", - " var url = js_exports[name];\n", - " if (skip.indexOf(url) >= 0 || root[name] != null) {\n", - "\tif (!window.requirejs) {\n", - "\t on_load();\n", - "\t}\n", - "\tcontinue;\n", + " const url = js_exports[name];\n", + " const escaped = encodeURI(url)\n", + " if (skip.indexOf(escaped) >= 0 || root[name] != null) {\n", + " if (!window.requirejs) {\n", + " on_load();\n", + " }\n", + " continue;\n", " }\n", " var element = document.createElement('script');\n", " element.onerror = on_error;\n", @@ -238,11 +209,11 @@ " document.body.appendChild(element);\n", " }\n", "\n", - " var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.3.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.3.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.3.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.3.2.min.js\", \"https://cdn.holoviz.org/panel/1.3.6/dist/panel.min.js\"];\n", - " var js_modules = [];\n", - " var js_exports = {};\n", - " var css_urls = [];\n", - " var inline_js = [ function(Bokeh) {\n", + " const js_urls = [\"https://cdn.holoviz.org/panel/1.7.1/dist/bundled/reactiveesm/es-module-shims@^1.10.0/dist/es-module-shims.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-3.7.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.7.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.7.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.7.3.min.js\", \"https://cdn.holoviz.org/panel/1.7.1/dist/panel.min.js\"];\n", + " const js_modules = [];\n", + " const js_exports = {};\n", + " const css_urls = [];\n", + " const inline_js = [ function(Bokeh) {\n", " Bokeh.set_log_level(\"info\");\n", " },\n", "function(Bokeh) {} // ensure no trailing comma for IE\n", @@ -250,26 +221,27 @@ "\n", " function run_inline_js() {\n", " if ((root.Bokeh !== undefined) || (force === true)) {\n", - " for (var i = 0; i < inline_js.length; i++) {\n", - "\ttry {\n", + " for (let i = 0; i < inline_js.length; i++) {\n", + " try {\n", " inline_js[i].call(root, root.Bokeh);\n", - "\t} catch(e) {\n", - "\t if (!reloading) {\n", - "\t throw e;\n", - "\t }\n", - "\t}\n", + " } catch(e) {\n", + " if (!reloading) {\n", + " throw e;\n", + " }\n", + " }\n", " }\n", " // Cache old bokeh versions\n", " if (Bokeh != undefined && !reloading) {\n", - "\tvar NewBokeh = root.Bokeh;\n", - "\tif (Bokeh.versions === undefined) {\n", - "\t Bokeh.versions = new Map();\n", - "\t}\n", - "\tif (NewBokeh.version !== Bokeh.version) {\n", - "\t Bokeh.versions.set(NewBokeh.version, NewBokeh)\n", - "\t}\n", - "\troot.Bokeh = Bokeh;\n", - " }} else if (Date.now() < root._bokeh_timeout) {\n", + " var NewBokeh = root.Bokeh;\n", + " if (Bokeh.versions === undefined) {\n", + " Bokeh.versions = new Map();\n", + " }\n", + " if (NewBokeh.version !== Bokeh.version) {\n", + " Bokeh.versions.set(NewBokeh.version, NewBokeh)\n", + " }\n", + " root.Bokeh = Bokeh;\n", + " }\n", + " } else if (Date.now() < root._bokeh_timeout) {\n", " setTimeout(run_inline_js, 100);\n", " } else if (!root._bokeh_failed_load) {\n", " console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n", @@ -287,8 +259,12 @@ " // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n", " // before older versions are fully initialized.\n", " if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n", + " // If the timeout and bokeh was not successfully loaded we reset\n", + " // everything and try loading again\n", + " root._bokeh_timeout = Date.now() + 5000;\n", " root._bokeh_is_initializing = false;\n", " root._bokeh_onload_callbacks = undefined;\n", + " root._bokeh_is_loading = 0\n", " console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n", " load_or_wait();\n", " } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n", @@ -296,13 +272,16 @@ " } else {\n", " root._bokeh_is_initializing = true\n", " root._bokeh_onload_callbacks = []\n", - " var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n", + " const bokeh_loaded = root.Bokeh != null && (root.Bokeh.version === py_version || (root.Bokeh.versions !== undefined && root.Bokeh.versions.has(py_version)));\n", " if (!reloading && !bokeh_loaded) {\n", - "\troot.Bokeh = undefined;\n", + " if (root.Bokeh) {\n", + " root.Bokeh = undefined;\n", + " }\n", + " console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n", " }\n", " load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n", - "\tconsole.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n", - "\trun_inline_js();\n", + " console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n", + " run_inline_js();\n", " });\n", " }\n", " }\n", @@ -311,7 +290,7 @@ " setTimeout(load_or_wait, 100)\n", "}(window));" ], - "application/vnd.holoviews_load.v0+json": "(function(root) {\n function now() {\n return new Date();\n }\n\n var force = true;\n var py_version = '3.3.2'.replace('rc', '-rc.').replace('.dev', '-dev.');\n var reloading = false;\n var Bokeh = root.Bokeh;\n\n if (typeof (root._bokeh_timeout) === \"undefined\" || force) {\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_failed_load = false;\n }\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) {\n if (callback != null)\n callback();\n });\n } finally {\n delete root._bokeh_onload_callbacks;\n }\n console.debug(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(css_urls, js_urls, js_modules, js_exports, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n if (js_modules == null) js_modules = [];\n if (js_exports == null) js_exports = {};\n\n root._bokeh_onload_callbacks.push(callback);\n\n if (root._bokeh_is_loading > 0) {\n console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n }\n if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n run_callbacks();\n return null;\n }\n if (!reloading) {\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n }\n\n function on_load() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n run_callbacks()\n }\n }\n window._bokeh_on_load = on_load\n\n function on_error() {\n console.error(\"failed to load \" + url);\n }\n\n var skip = [];\n if (window.requirejs) {\n window.requirejs.config({'packages': {}, 'paths': {'jspanel': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/jspanel', 'jspanel-modal': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal', 'jspanel-tooltip': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip', 'jspanel-hint': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint', 'jspanel-layout': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout', 'jspanel-contextmenu': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu', 'jspanel-dock': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock', 'gridstack': 'https://cdn.jsdelivr.net/npm/gridstack@7.2.3/dist/gridstack-all', 'notyf': 'https://cdn.jsdelivr.net/npm/notyf@3/notyf.min'}, 'shim': {'jspanel': {'exports': 'jsPanel'}, 'gridstack': {'exports': 'GridStack'}}});\n require([\"jspanel\"], function(jsPanel) {\n\twindow.jsPanel = jsPanel\n\ton_load()\n })\n require([\"jspanel-modal\"], function() {\n\ton_load()\n })\n require([\"jspanel-tooltip\"], function() {\n\ton_load()\n })\n require([\"jspanel-hint\"], function() {\n\ton_load()\n })\n require([\"jspanel-layout\"], function() {\n\ton_load()\n })\n require([\"jspanel-contextmenu\"], function() {\n\ton_load()\n })\n require([\"jspanel-dock\"], function() {\n\ton_load()\n })\n require([\"gridstack\"], function(GridStack) {\n\twindow.GridStack = GridStack\n\ton_load()\n })\n require([\"notyf\"], function() {\n\ton_load()\n })\n root._bokeh_is_loading = css_urls.length + 9;\n } else {\n root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n }\n\n var existing_stylesheets = []\n var links = document.getElementsByTagName('link')\n for (var i = 0; i < links.length; i++) {\n var link = links[i]\n if (link.href != null) {\n\texisting_stylesheets.push(link.href)\n }\n }\n for (var i = 0; i < css_urls.length; i++) {\n var url = css_urls[i];\n if (existing_stylesheets.indexOf(url) !== -1) {\n\ton_load()\n\tcontinue;\n }\n const element = document.createElement(\"link\");\n element.onload = on_load;\n element.onerror = on_error;\n element.rel = \"stylesheet\";\n element.type = \"text/css\";\n element.href = url;\n console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n document.body.appendChild(element);\n } if (((window['jsPanel'] !== undefined) && (!(window['jsPanel'] instanceof HTMLElement))) || window.requirejs) {\n var urls = ['https://cdn.holoviz.org/panel/1.3.6/dist/bundled/floatpanel/jspanel4@4.12.0/dist/jspanel.js', 'https://cdn.holoviz.org/panel/1.3.6/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal.js', 'https://cdn.holoviz.org/panel/1.3.6/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip.js', 'https://cdn.holoviz.org/panel/1.3.6/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint.js', 'https://cdn.holoviz.org/panel/1.3.6/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout.js', 'https://cdn.holoviz.org/panel/1.3.6/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu.js', 'https://cdn.holoviz.org/panel/1.3.6/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock.js'];\n for (var i = 0; i < urls.length; i++) {\n skip.push(urls[i])\n }\n } if (((window['GridStack'] !== undefined) && (!(window['GridStack'] instanceof HTMLElement))) || window.requirejs) {\n var urls = ['https://cdn.holoviz.org/panel/1.3.6/dist/bundled/gridstack/gridstack@7.2.3/dist/gridstack-all.js'];\n for (var i = 0; i < urls.length; i++) {\n skip.push(urls[i])\n }\n } if (((window['Notyf'] !== undefined) && (!(window['Notyf'] instanceof HTMLElement))) || window.requirejs) {\n var urls = ['https://cdn.holoviz.org/panel/1.3.6/dist/bundled/notificationarea/notyf@3/notyf.min.js'];\n for (var i = 0; i < urls.length; i++) {\n skip.push(urls[i])\n }\n } var existing_scripts = []\n var scripts = document.getElementsByTagName('script')\n for (var i = 0; i < scripts.length; i++) {\n var script = scripts[i]\n if (script.src != null) {\n\texisting_scripts.push(script.src)\n }\n }\n for (var i = 0; i < js_urls.length; i++) {\n var url = js_urls[i];\n if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t on_load();\n\t}\n\tcontinue;\n }\n var element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error;\n element.async = false;\n element.src = url;\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n for (var i = 0; i < js_modules.length; i++) {\n var url = js_modules[i];\n if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t on_load();\n\t}\n\tcontinue;\n }\n var element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error;\n element.async = false;\n element.src = url;\n element.type = \"module\";\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n for (const name in js_exports) {\n var url = js_exports[name];\n if (skip.indexOf(url) >= 0 || root[name] != null) {\n\tif (!window.requirejs) {\n\t on_load();\n\t}\n\tcontinue;\n }\n var element = document.createElement('script');\n element.onerror = on_error;\n element.async = false;\n element.type = \"module\";\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n element.textContent = `\n import ${name} from \"${url}\"\n window.${name} = ${name}\n window._bokeh_on_load()\n `\n document.head.appendChild(element);\n }\n if (!js_urls.length && !js_modules.length) {\n on_load()\n }\n };\n\n function inject_raw_css(css) {\n const element = document.createElement(\"style\");\n element.appendChild(document.createTextNode(css));\n document.body.appendChild(element);\n }\n\n var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.3.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.3.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.3.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.3.2.min.js\", \"https://cdn.holoviz.org/panel/1.3.6/dist/panel.min.js\"];\n var js_modules = [];\n var js_exports = {};\n var css_urls = [];\n var inline_js = [ function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\nfunction(Bokeh) {} // ensure no trailing comma for IE\n ];\n\n function run_inline_js() {\n if ((root.Bokeh !== undefined) || (force === true)) {\n for (var i = 0; i < inline_js.length; i++) {\n\ttry {\n inline_js[i].call(root, root.Bokeh);\n\t} catch(e) {\n\t if (!reloading) {\n\t throw e;\n\t }\n\t}\n }\n // Cache old bokeh versions\n if (Bokeh != undefined && !reloading) {\n\tvar NewBokeh = root.Bokeh;\n\tif (Bokeh.versions === undefined) {\n\t Bokeh.versions = new Map();\n\t}\n\tif (NewBokeh.version !== Bokeh.version) {\n\t Bokeh.versions.set(NewBokeh.version, NewBokeh)\n\t}\n\troot.Bokeh = Bokeh;\n }} else if (Date.now() < root._bokeh_timeout) {\n setTimeout(run_inline_js, 100);\n } else if (!root._bokeh_failed_load) {\n console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n root._bokeh_failed_load = true;\n }\n root._bokeh_is_initializing = false\n }\n\n function load_or_wait() {\n // Implement a backoff loop that tries to ensure we do not load multiple\n // versions of Bokeh and its dependencies at the same time.\n // In recent versions we use the root._bokeh_is_initializing flag\n // to determine whether there is an ongoing attempt to initialize\n // bokeh, however for backward compatibility we also try to ensure\n // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n // before older versions are fully initialized.\n if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n root._bokeh_is_initializing = false;\n root._bokeh_onload_callbacks = undefined;\n console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n load_or_wait();\n } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n setTimeout(load_or_wait, 100);\n } else {\n root._bokeh_is_initializing = true\n root._bokeh_onload_callbacks = []\n var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n if (!reloading && !bokeh_loaded) {\n\troot.Bokeh = undefined;\n }\n load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n\tconsole.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n\trun_inline_js();\n });\n }\n }\n // Give older versions of the autoload script a head-start to ensure\n // they initialize before we start loading newer version.\n setTimeout(load_or_wait, 100)\n}(window));" + "application/vnd.holoviews_load.v0+json": "(function(root) {\n function now() {\n return new Date();\n }\n\n const force = true;\n const py_version = '3.7.3'.replace('rc', '-rc.').replace('.dev', '-dev.');\n const reloading = false;\n const Bokeh = root.Bokeh;\n\n // Set a timeout for this load but only if we are not already initializing\n if (typeof (root._bokeh_timeout) === \"undefined\" || (force || !root._bokeh_is_initializing)) {\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_failed_load = false;\n }\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) {\n if (callback != null)\n callback();\n });\n } finally {\n delete root._bokeh_onload_callbacks;\n }\n console.debug(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(css_urls, js_urls, js_modules, js_exports, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n if (js_modules == null) js_modules = [];\n if (js_exports == null) js_exports = {};\n\n root._bokeh_onload_callbacks.push(callback);\n\n if (root._bokeh_is_loading > 0) {\n // Don't load bokeh if it is still initializing\n console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n } else if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n // There is nothing to load\n run_callbacks();\n return null;\n }\n\n function on_load() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n run_callbacks()\n }\n }\n window._bokeh_on_load = on_load\n\n function on_error(e) {\n const src_el = e.srcElement\n console.error(\"failed to load \" + (src_el.href || src_el.src));\n }\n\n const skip = [];\n if (window.requirejs) {\n window.requirejs.config({'packages': {}, 'paths': {}, 'shim': {}});\n root._bokeh_is_loading = css_urls.length + 0;\n } else {\n root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n }\n\n const existing_stylesheets = []\n const links = document.getElementsByTagName('link')\n for (let i = 0; i < links.length; i++) {\n const link = links[i]\n if (link.href != null) {\n existing_stylesheets.push(link.href)\n }\n }\n for (let i = 0; i < css_urls.length; i++) {\n const url = css_urls[i];\n const escaped = encodeURI(url)\n if (existing_stylesheets.indexOf(escaped) !== -1) {\n on_load()\n continue;\n }\n const element = document.createElement(\"link\");\n element.onload = on_load;\n element.onerror = on_error;\n element.rel = \"stylesheet\";\n element.type = \"text/css\";\n element.href = url;\n console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n document.body.appendChild(element);\n } var existing_scripts = []\n const scripts = document.getElementsByTagName('script')\n for (let i = 0; i < scripts.length; i++) {\n var script = scripts[i]\n if (script.src != null) {\n existing_scripts.push(script.src)\n }\n }\n for (let i = 0; i < js_urls.length; i++) {\n const url = js_urls[i];\n const escaped = encodeURI(url)\n if (skip.indexOf(escaped) !== -1 || existing_scripts.indexOf(escaped) !== -1) {\n if (!window.requirejs) {\n on_load();\n }\n continue;\n }\n const element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error;\n element.async = false;\n element.src = url;\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n for (let i = 0; i < js_modules.length; i++) {\n const url = js_modules[i];\n const escaped = encodeURI(url)\n if (skip.indexOf(escaped) !== -1 || existing_scripts.indexOf(escaped) !== -1) {\n if (!window.requirejs) {\n on_load();\n }\n continue;\n }\n var element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error;\n element.async = false;\n element.src = url;\n element.type = \"module\";\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n for (const name in js_exports) {\n const url = js_exports[name];\n const escaped = encodeURI(url)\n if (skip.indexOf(escaped) >= 0 || root[name] != null) {\n if (!window.requirejs) {\n on_load();\n }\n continue;\n }\n var element = document.createElement('script');\n element.onerror = on_error;\n element.async = false;\n element.type = \"module\";\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n element.textContent = `\n import ${name} from \"${url}\"\n window.${name} = ${name}\n window._bokeh_on_load()\n `\n document.head.appendChild(element);\n }\n if (!js_urls.length && !js_modules.length) {\n on_load()\n }\n };\n\n function inject_raw_css(css) {\n const element = document.createElement(\"style\");\n element.appendChild(document.createTextNode(css));\n document.body.appendChild(element);\n }\n\n const js_urls = [\"https://cdn.holoviz.org/panel/1.7.1/dist/bundled/reactiveesm/es-module-shims@^1.10.0/dist/es-module-shims.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-3.7.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.7.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.7.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.7.3.min.js\", \"https://cdn.holoviz.org/panel/1.7.1/dist/panel.min.js\"];\n const js_modules = [];\n const js_exports = {};\n const css_urls = [];\n const inline_js = [ function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\nfunction(Bokeh) {} // ensure no trailing comma for IE\n ];\n\n function run_inline_js() {\n if ((root.Bokeh !== undefined) || (force === true)) {\n for (let i = 0; i < inline_js.length; i++) {\n try {\n inline_js[i].call(root, root.Bokeh);\n } catch(e) {\n if (!reloading) {\n throw e;\n }\n }\n }\n // Cache old bokeh versions\n if (Bokeh != undefined && !reloading) {\n var NewBokeh = root.Bokeh;\n if (Bokeh.versions === undefined) {\n Bokeh.versions = new Map();\n }\n if (NewBokeh.version !== Bokeh.version) {\n Bokeh.versions.set(NewBokeh.version, NewBokeh)\n }\n root.Bokeh = Bokeh;\n }\n } else if (Date.now() < root._bokeh_timeout) {\n setTimeout(run_inline_js, 100);\n } else if (!root._bokeh_failed_load) {\n console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n root._bokeh_failed_load = true;\n }\n root._bokeh_is_initializing = false\n }\n\n function load_or_wait() {\n // Implement a backoff loop that tries to ensure we do not load multiple\n // versions of Bokeh and its dependencies at the same time.\n // In recent versions we use the root._bokeh_is_initializing flag\n // to determine whether there is an ongoing attempt to initialize\n // bokeh, however for backward compatibility we also try to ensure\n // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n // before older versions are fully initialized.\n if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n // If the timeout and bokeh was not successfully loaded we reset\n // everything and try loading again\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_is_initializing = false;\n root._bokeh_onload_callbacks = undefined;\n root._bokeh_is_loading = 0\n console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n load_or_wait();\n } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n setTimeout(load_or_wait, 100);\n } else {\n root._bokeh_is_initializing = true\n root._bokeh_onload_callbacks = []\n const bokeh_loaded = root.Bokeh != null && (root.Bokeh.version === py_version || (root.Bokeh.versions !== undefined && root.Bokeh.versions.has(py_version)));\n if (!reloading && !bokeh_loaded) {\n if (root.Bokeh) {\n root.Bokeh = undefined;\n }\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n }\n load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n run_inline_js();\n });\n }\n }\n // Give older versions of the autoload script a head-start to ensure\n // they initialize before we start loading newer version.\n setTimeout(load_or_wait, 100)\n}(window));" }, "metadata": {}, "output_type": "display_data" @@ -390,7 +369,7 @@ " }\n", " return messages.next().then(processIteratorResult);\n", " }\n", - " }) \n", + " })\n", " var sendClosure = (data, metadata, buffers, disposeOnDone) => {\n", " return comm_promise.then((comm) => {\n", " comm.send(data, metadata, buffers, disposeOnDone);\n", @@ -559,31 +538,7 @@ " }\n", "}\n" ], - "application/vnd.holoviews_load.v0+json": "\nif ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n}\n\n\n function JupyterCommManager() {\n }\n\n JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n comm_manager.register_target(comm_id, function(comm) {\n comm.on_msg(msg_handler);\n });\n } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n comm.onMsg = msg_handler;\n });\n } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n google.colab.kernel.comms.registerTarget(comm_id, (comm) => {\n var messages = comm.messages[Symbol.asyncIterator]();\n function processIteratorResult(result) {\n var message = result.value;\n console.log(message)\n var content = {data: message.data, comm_id};\n var buffers = []\n for (var buffer of message.buffers || []) {\n buffers.push(new DataView(buffer))\n }\n var metadata = message.metadata || {};\n var msg = {content, buffers, metadata}\n msg_handler(msg);\n return messages.next().then(processIteratorResult);\n }\n return messages.next().then(processIteratorResult);\n })\n }\n }\n\n JupyterCommManager.prototype.get_client_comm = function(plot_id, comm_id, msg_handler) {\n if (comm_id in window.PyViz.comms) {\n return window.PyViz.comms[comm_id];\n } else if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n var comm = comm_manager.new_comm(comm_id, {}, {}, {}, comm_id);\n if (msg_handler) {\n comm.on_msg(msg_handler);\n }\n } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n var comm = window.PyViz.kernels[plot_id].connectToComm(comm_id);\n comm.open();\n if (msg_handler) {\n comm.onMsg = msg_handler;\n }\n } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n var comm_promise = google.colab.kernel.comms.open(comm_id)\n comm_promise.then((comm) => {\n window.PyViz.comms[comm_id] = comm;\n if (msg_handler) {\n var messages = comm.messages[Symbol.asyncIterator]();\n function processIteratorResult(result) {\n var message = result.value;\n var content = {data: message.data};\n var metadata = message.metadata || {comm_id};\n var msg = {content, metadata}\n msg_handler(msg);\n return messages.next().then(processIteratorResult);\n }\n return messages.next().then(processIteratorResult);\n }\n }) \n var sendClosure = (data, metadata, buffers, disposeOnDone) => {\n return comm_promise.then((comm) => {\n comm.send(data, metadata, buffers, disposeOnDone);\n });\n };\n var comm = {\n send: sendClosure\n };\n }\n window.PyViz.comms[comm_id] = comm;\n return comm;\n }\n window.PyViz.comm_manager = new JupyterCommManager();\n \n\n\nvar JS_MIME_TYPE = 'application/javascript';\nvar HTML_MIME_TYPE = 'text/html';\nvar EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';\nvar CLASS_NAME = 'output';\n\n/**\n * Render data to the DOM node\n */\nfunction render(props, node) {\n var div = document.createElement(\"div\");\n var script = document.createElement(\"script\");\n node.appendChild(div);\n node.appendChild(script);\n}\n\n/**\n * Handle when a new output is added\n */\nfunction handle_add_output(event, handle) {\n var output_area = handle.output_area;\n var output = handle.output;\n if ((output.data == undefined) || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n return\n }\n var id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n if (id !== undefined) {\n var nchildren = toinsert.length;\n var html_node = toinsert[nchildren-1].children[0];\n html_node.innerHTML = output.data[HTML_MIME_TYPE];\n var scripts = [];\n var nodelist = html_node.querySelectorAll(\"script\");\n for (var i in nodelist) {\n if (nodelist.hasOwnProperty(i)) {\n scripts.push(nodelist[i])\n }\n }\n\n scripts.forEach( function (oldScript) {\n var newScript = document.createElement(\"script\");\n var attrs = [];\n var nodemap = oldScript.attributes;\n for (var j in nodemap) {\n if (nodemap.hasOwnProperty(j)) {\n attrs.push(nodemap[j])\n }\n }\n attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n oldScript.parentNode.replaceChild(newScript, oldScript);\n });\n if (JS_MIME_TYPE in output.data) {\n toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n }\n output_area._hv_plot_id = id;\n if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n window.PyViz.plot_index[id] = Bokeh.index[id];\n } else {\n window.PyViz.plot_index[id] = null;\n }\n } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n var bk_div = document.createElement(\"div\");\n bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n var script_attrs = bk_div.children[0].attributes;\n for (var i = 0; i < script_attrs.length; i++) {\n toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n }\n // store reference to server id on output_area\n output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n }\n}\n\n/**\n * Handle when an output is cleared or removed\n */\nfunction handle_clear_output(event, handle) {\n var id = handle.cell.output_area._hv_plot_id;\n var server_id = handle.cell.output_area._bokeh_server_id;\n if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n if (server_id !== null) {\n comm.send({event_type: 'server_delete', 'id': server_id});\n return;\n } else if (comm !== null) {\n comm.send({event_type: 'delete', 'id': id});\n }\n delete PyViz.plot_index[id];\n if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n var doc = window.Bokeh.index[id].model.document\n doc.clear();\n const i = window.Bokeh.documents.indexOf(doc);\n if (i > -1) {\n window.Bokeh.documents.splice(i, 1);\n }\n }\n}\n\n/**\n * Handle kernel restart event\n */\nfunction handle_kernel_cleanup(event, handle) {\n delete PyViz.comms[\"hv-extension-comm\"];\n window.PyViz.plot_index = {}\n}\n\n/**\n * Handle update_display_data messages\n */\nfunction handle_update_output(event, handle) {\n handle_clear_output(event, {cell: {output_area: handle.output_area}})\n handle_add_output(event, handle)\n}\n\nfunction register_renderer(events, OutputArea) {\n function append_mime(data, metadata, element) {\n // create a DOM node to render to\n var toinsert = this.create_output_subarea(\n metadata,\n CLASS_NAME,\n EXEC_MIME_TYPE\n );\n this.keyboard_manager.register_events(toinsert);\n // Render to node\n var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n render(props, toinsert[0]);\n element.append(toinsert);\n return toinsert\n }\n\n events.on('output_added.OutputArea', handle_add_output);\n events.on('output_updated.OutputArea', handle_update_output);\n events.on('clear_output.CodeCell', handle_clear_output);\n events.on('delete.Cell', handle_clear_output);\n events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n\n OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n safe: true,\n index: 0\n });\n}\n\nif (window.Jupyter !== undefined) {\n try {\n var events = require('base/js/events');\n var OutputArea = require('notebook/js/outputarea').OutputArea;\n if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n register_renderer(events, OutputArea);\n }\n } catch(err) {\n }\n}\n" - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "" - ] + "application/vnd.holoviews_load.v0+json": "\nif ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n}\n\n\n function JupyterCommManager() {\n }\n\n JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n comm_manager.register_target(comm_id, function(comm) {\n comm.on_msg(msg_handler);\n });\n } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n comm.onMsg = msg_handler;\n });\n } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n google.colab.kernel.comms.registerTarget(comm_id, (comm) => {\n var messages = comm.messages[Symbol.asyncIterator]();\n function processIteratorResult(result) {\n var message = result.value;\n console.log(message)\n var content = {data: message.data, comm_id};\n var buffers = []\n for (var buffer of message.buffers || []) {\n buffers.push(new DataView(buffer))\n }\n var metadata = message.metadata || {};\n var msg = {content, buffers, metadata}\n msg_handler(msg);\n return messages.next().then(processIteratorResult);\n }\n return messages.next().then(processIteratorResult);\n })\n }\n }\n\n JupyterCommManager.prototype.get_client_comm = function(plot_id, comm_id, msg_handler) {\n if (comm_id in window.PyViz.comms) {\n return window.PyViz.comms[comm_id];\n } else if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n var comm = comm_manager.new_comm(comm_id, {}, {}, {}, comm_id);\n if (msg_handler) {\n comm.on_msg(msg_handler);\n }\n } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n var comm = window.PyViz.kernels[plot_id].connectToComm(comm_id);\n comm.open();\n if (msg_handler) {\n comm.onMsg = msg_handler;\n }\n } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n var comm_promise = google.colab.kernel.comms.open(comm_id)\n comm_promise.then((comm) => {\n window.PyViz.comms[comm_id] = comm;\n if (msg_handler) {\n var messages = comm.messages[Symbol.asyncIterator]();\n function processIteratorResult(result) {\n var message = result.value;\n var content = {data: message.data};\n var metadata = message.metadata || {comm_id};\n var msg = {content, metadata}\n msg_handler(msg);\n return messages.next().then(processIteratorResult);\n }\n return messages.next().then(processIteratorResult);\n }\n })\n var sendClosure = (data, metadata, buffers, disposeOnDone) => {\n return comm_promise.then((comm) => {\n comm.send(data, metadata, buffers, disposeOnDone);\n });\n };\n var comm = {\n send: sendClosure\n };\n }\n window.PyViz.comms[comm_id] = comm;\n return comm;\n }\n window.PyViz.comm_manager = new JupyterCommManager();\n \n\n\nvar JS_MIME_TYPE = 'application/javascript';\nvar HTML_MIME_TYPE = 'text/html';\nvar EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';\nvar CLASS_NAME = 'output';\n\n/**\n * Render data to the DOM node\n */\nfunction render(props, node) {\n var div = document.createElement(\"div\");\n var script = document.createElement(\"script\");\n node.appendChild(div);\n node.appendChild(script);\n}\n\n/**\n * Handle when a new output is added\n */\nfunction handle_add_output(event, handle) {\n var output_area = handle.output_area;\n var output = handle.output;\n if ((output.data == undefined) || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n return\n }\n var id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n if (id !== undefined) {\n var nchildren = toinsert.length;\n var html_node = toinsert[nchildren-1].children[0];\n html_node.innerHTML = output.data[HTML_MIME_TYPE];\n var scripts = [];\n var nodelist = html_node.querySelectorAll(\"script\");\n for (var i in nodelist) {\n if (nodelist.hasOwnProperty(i)) {\n scripts.push(nodelist[i])\n }\n }\n\n scripts.forEach( function (oldScript) {\n var newScript = document.createElement(\"script\");\n var attrs = [];\n var nodemap = oldScript.attributes;\n for (var j in nodemap) {\n if (nodemap.hasOwnProperty(j)) {\n attrs.push(nodemap[j])\n }\n }\n attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n oldScript.parentNode.replaceChild(newScript, oldScript);\n });\n if (JS_MIME_TYPE in output.data) {\n toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n }\n output_area._hv_plot_id = id;\n if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n window.PyViz.plot_index[id] = Bokeh.index[id];\n } else {\n window.PyViz.plot_index[id] = null;\n }\n } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n var bk_div = document.createElement(\"div\");\n bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n var script_attrs = bk_div.children[0].attributes;\n for (var i = 0; i < script_attrs.length; i++) {\n toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n }\n // store reference to server id on output_area\n output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n }\n}\n\n/**\n * Handle when an output is cleared or removed\n */\nfunction handle_clear_output(event, handle) {\n var id = handle.cell.output_area._hv_plot_id;\n var server_id = handle.cell.output_area._bokeh_server_id;\n if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n if (server_id !== null) {\n comm.send({event_type: 'server_delete', 'id': server_id});\n return;\n } else if (comm !== null) {\n comm.send({event_type: 'delete', 'id': id});\n }\n delete PyViz.plot_index[id];\n if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n var doc = window.Bokeh.index[id].model.document\n doc.clear();\n const i = window.Bokeh.documents.indexOf(doc);\n if (i > -1) {\n window.Bokeh.documents.splice(i, 1);\n }\n }\n}\n\n/**\n * Handle kernel restart event\n */\nfunction handle_kernel_cleanup(event, handle) {\n delete PyViz.comms[\"hv-extension-comm\"];\n window.PyViz.plot_index = {}\n}\n\n/**\n * Handle update_display_data messages\n */\nfunction handle_update_output(event, handle) {\n handle_clear_output(event, {cell: {output_area: handle.output_area}})\n handle_add_output(event, handle)\n}\n\nfunction register_renderer(events, OutputArea) {\n function append_mime(data, metadata, element) {\n // create a DOM node to render to\n var toinsert = this.create_output_subarea(\n metadata,\n CLASS_NAME,\n EXEC_MIME_TYPE\n );\n this.keyboard_manager.register_events(toinsert);\n // Render to node\n var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n render(props, toinsert[0]);\n element.append(toinsert);\n return toinsert\n }\n\n events.on('output_added.OutputArea', handle_add_output);\n events.on('output_updated.OutputArea', handle_update_output);\n events.on('clear_output.CodeCell', handle_clear_output);\n events.on('delete.Cell', handle_clear_output);\n events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n\n OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n safe: true,\n index: 0\n });\n}\n\nif (window.Jupyter !== undefined) {\n try {\n var events = require('base/js/events');\n var OutputArea = require('notebook/js/outputarea').OutputArea;\n if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n register_renderer(events, OutputArea);\n }\n } catch(err) {\n }\n}\n" }, "metadata": {}, "output_type": "display_data" @@ -592,26 +547,31 @@ "data": { "application/vnd.holoviews_exec.v0+json": "", "text/html": [ - "
\n", - "
\n", + "
\n", + "
\n", "
\n", "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, { "data": { "application/javascript": [ @@ -674,12 +658,13 @@ " return new Date();\n", " }\n", "\n", - " var force = true;\n", - " var py_version = '3.3.2'.replace('rc', '-rc.').replace('.dev', '-dev.');\n", - " var reloading = true;\n", - " var Bokeh = root.Bokeh;\n", + " const force = false;\n", + " const py_version = '3.7.3'.replace('rc', '-rc.').replace('.dev', '-dev.');\n", + " const reloading = true;\n", + " const Bokeh = root.Bokeh;\n", "\n", - " if (typeof (root._bokeh_timeout) === \"undefined\" || force) {\n", + " // Set a timeout for this load but only if we are not already initializing\n", + " if (typeof (root._bokeh_timeout) === \"undefined\" || (force || !root._bokeh_is_initializing)) {\n", " root._bokeh_timeout = Date.now() + 5000;\n", " root._bokeh_failed_load = false;\n", " }\n", @@ -705,16 +690,14 @@ " root._bokeh_onload_callbacks.push(callback);\n", "\n", " if (root._bokeh_is_loading > 0) {\n", + " // Don't load bokeh if it is still initializing\n", " console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n", " return null;\n", - " }\n", - " if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n", + " } else if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n", + " // There is nothing to load\n", " run_callbacks();\n", " return null;\n", " }\n", - " if (!reloading) {\n", - " console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n", - " }\n", "\n", " function on_load() {\n", " root._bokeh_is_loading--;\n", @@ -725,60 +708,33 @@ " }\n", " window._bokeh_on_load = on_load\n", "\n", - " function on_error() {\n", - " console.error(\"failed to load \" + url);\n", + " function on_error(e) {\n", + " const src_el = e.srcElement\n", + " console.error(\"failed to load \" + (src_el.href || src_el.src));\n", " }\n", "\n", - " var skip = [];\n", + " const skip = [];\n", " if (window.requirejs) {\n", - " window.requirejs.config({'packages': {}, 'paths': {'jspanel': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/jspanel', 'jspanel-modal': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal', 'jspanel-tooltip': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip', 'jspanel-hint': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint', 'jspanel-layout': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout', 'jspanel-contextmenu': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu', 'jspanel-dock': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock', 'gridstack': 'https://cdn.jsdelivr.net/npm/gridstack@7.2.3/dist/gridstack-all', 'notyf': 'https://cdn.jsdelivr.net/npm/notyf@3/notyf.min'}, 'shim': {'jspanel': {'exports': 'jsPanel'}, 'gridstack': {'exports': 'GridStack'}}});\n", - " require([\"jspanel\"], function(jsPanel) {\n", - "\twindow.jsPanel = jsPanel\n", - "\ton_load()\n", - " })\n", - " require([\"jspanel-modal\"], function() {\n", - "\ton_load()\n", - " })\n", - " require([\"jspanel-tooltip\"], function() {\n", - "\ton_load()\n", - " })\n", - " require([\"jspanel-hint\"], function() {\n", - "\ton_load()\n", - " })\n", - " require([\"jspanel-layout\"], function() {\n", - "\ton_load()\n", - " })\n", - " require([\"jspanel-contextmenu\"], function() {\n", - "\ton_load()\n", - " })\n", - " require([\"jspanel-dock\"], function() {\n", - "\ton_load()\n", - " })\n", - " require([\"gridstack\"], function(GridStack) {\n", - "\twindow.GridStack = GridStack\n", - "\ton_load()\n", - " })\n", - " require([\"notyf\"], function() {\n", - "\ton_load()\n", - " })\n", - " root._bokeh_is_loading = css_urls.length + 9;\n", + " window.requirejs.config({'packages': {}, 'paths': {}, 'shim': {}});\n", + " root._bokeh_is_loading = css_urls.length + 0;\n", " } else {\n", " root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n", " }\n", "\n", - " var existing_stylesheets = []\n", - " var links = document.getElementsByTagName('link')\n", - " for (var i = 0; i < links.length; i++) {\n", - " var link = links[i]\n", + " const existing_stylesheets = []\n", + " const links = document.getElementsByTagName('link')\n", + " for (let i = 0; i < links.length; i++) {\n", + " const link = links[i]\n", " if (link.href != null) {\n", - "\texisting_stylesheets.push(link.href)\n", + " existing_stylesheets.push(link.href)\n", " }\n", " }\n", - " for (var i = 0; i < css_urls.length; i++) {\n", - " var url = css_urls[i];\n", - " if (existing_stylesheets.indexOf(url) !== -1) {\n", - "\ton_load()\n", - "\tcontinue;\n", + " for (let i = 0; i < css_urls.length; i++) {\n", + " const url = css_urls[i];\n", + " const escaped = encodeURI(url)\n", + " if (existing_stylesheets.indexOf(escaped) !== -1) {\n", + " on_load()\n", + " continue;\n", " }\n", " const element = document.createElement(\"link\");\n", " element.onload = on_load;\n", @@ -788,38 +744,24 @@ " element.href = url;\n", " console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n", " document.body.appendChild(element);\n", - " } if (((window['jsPanel'] !== undefined) && (!(window['jsPanel'] instanceof HTMLElement))) || window.requirejs) {\n", - " var urls = ['https://cdn.holoviz.org/panel/1.3.6/dist/bundled/floatpanel/jspanel4@4.12.0/dist/jspanel.js', 'https://cdn.holoviz.org/panel/1.3.6/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal.js', 'https://cdn.holoviz.org/panel/1.3.6/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip.js', 'https://cdn.holoviz.org/panel/1.3.6/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint.js', 'https://cdn.holoviz.org/panel/1.3.6/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout.js', 'https://cdn.holoviz.org/panel/1.3.6/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu.js', 'https://cdn.holoviz.org/panel/1.3.6/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock.js'];\n", - " for (var i = 0; i < urls.length; i++) {\n", - " skip.push(urls[i])\n", - " }\n", - " } if (((window['GridStack'] !== undefined) && (!(window['GridStack'] instanceof HTMLElement))) || window.requirejs) {\n", - " var urls = ['https://cdn.holoviz.org/panel/1.3.6/dist/bundled/gridstack/gridstack@7.2.3/dist/gridstack-all.js'];\n", - " for (var i = 0; i < urls.length; i++) {\n", - " skip.push(urls[i])\n", - " }\n", - " } if (((window['Notyf'] !== undefined) && (!(window['Notyf'] instanceof HTMLElement))) || window.requirejs) {\n", - " var urls = ['https://cdn.holoviz.org/panel/1.3.6/dist/bundled/notificationarea/notyf@3/notyf.min.js'];\n", - " for (var i = 0; i < urls.length; i++) {\n", - " skip.push(urls[i])\n", - " }\n", " } var existing_scripts = []\n", - " var scripts = document.getElementsByTagName('script')\n", - " for (var i = 0; i < scripts.length; i++) {\n", + " const scripts = document.getElementsByTagName('script')\n", + " for (let i = 0; i < scripts.length; i++) {\n", " var script = scripts[i]\n", " if (script.src != null) {\n", - "\texisting_scripts.push(script.src)\n", + " existing_scripts.push(script.src)\n", " }\n", " }\n", - " for (var i = 0; i < js_urls.length; i++) {\n", - " var url = js_urls[i];\n", - " if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n", - "\tif (!window.requirejs) {\n", - "\t on_load();\n", - "\t}\n", - "\tcontinue;\n", + " for (let i = 0; i < js_urls.length; i++) {\n", + " const url = js_urls[i];\n", + " const escaped = encodeURI(url)\n", + " if (skip.indexOf(escaped) !== -1 || existing_scripts.indexOf(escaped) !== -1) {\n", + " if (!window.requirejs) {\n", + " on_load();\n", + " }\n", + " continue;\n", " }\n", - " var element = document.createElement('script');\n", + " const element = document.createElement('script');\n", " element.onload = on_load;\n", " element.onerror = on_error;\n", " element.async = false;\n", @@ -827,13 +769,14 @@ " console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n", " document.head.appendChild(element);\n", " }\n", - " for (var i = 0; i < js_modules.length; i++) {\n", - " var url = js_modules[i];\n", - " if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n", - "\tif (!window.requirejs) {\n", - "\t on_load();\n", - "\t}\n", - "\tcontinue;\n", + " for (let i = 0; i < js_modules.length; i++) {\n", + " const url = js_modules[i];\n", + " const escaped = encodeURI(url)\n", + " if (skip.indexOf(escaped) !== -1 || existing_scripts.indexOf(escaped) !== -1) {\n", + " if (!window.requirejs) {\n", + " on_load();\n", + " }\n", + " continue;\n", " }\n", " var element = document.createElement('script');\n", " element.onload = on_load;\n", @@ -845,12 +788,13 @@ " document.head.appendChild(element);\n", " }\n", " for (const name in js_exports) {\n", - " var url = js_exports[name];\n", - " if (skip.indexOf(url) >= 0 || root[name] != null) {\n", - "\tif (!window.requirejs) {\n", - "\t on_load();\n", - "\t}\n", - "\tcontinue;\n", + " const url = js_exports[name];\n", + " const escaped = encodeURI(url)\n", + " if (skip.indexOf(escaped) >= 0 || root[name] != null) {\n", + " if (!window.requirejs) {\n", + " on_load();\n", + " }\n", + " continue;\n", " }\n", " var element = document.createElement('script');\n", " element.onerror = on_error;\n", @@ -875,11 +819,11 @@ " document.body.appendChild(element);\n", " }\n", "\n", - " var js_urls = [];\n", - " var js_modules = [];\n", - " var js_exports = {};\n", - " var css_urls = [];\n", - " var inline_js = [ function(Bokeh) {\n", + " const js_urls = [\"https://cdn.holoviz.org/panel/1.7.1/dist/bundled/reactiveesm/es-module-shims@^1.10.0/dist/es-module-shims.min.js\"];\n", + " const js_modules = [];\n", + " const js_exports = {};\n", + " const css_urls = [];\n", + " const inline_js = [ function(Bokeh) {\n", " Bokeh.set_log_level(\"info\");\n", " },\n", "function(Bokeh) {} // ensure no trailing comma for IE\n", @@ -887,26 +831,27 @@ "\n", " function run_inline_js() {\n", " if ((root.Bokeh !== undefined) || (force === true)) {\n", - " for (var i = 0; i < inline_js.length; i++) {\n", - "\ttry {\n", + " for (let i = 0; i < inline_js.length; i++) {\n", + " try {\n", " inline_js[i].call(root, root.Bokeh);\n", - "\t} catch(e) {\n", - "\t if (!reloading) {\n", - "\t throw e;\n", - "\t }\n", - "\t}\n", + " } catch(e) {\n", + " if (!reloading) {\n", + " throw e;\n", + " }\n", + " }\n", " }\n", " // Cache old bokeh versions\n", " if (Bokeh != undefined && !reloading) {\n", - "\tvar NewBokeh = root.Bokeh;\n", - "\tif (Bokeh.versions === undefined) {\n", - "\t Bokeh.versions = new Map();\n", - "\t}\n", - "\tif (NewBokeh.version !== Bokeh.version) {\n", - "\t Bokeh.versions.set(NewBokeh.version, NewBokeh)\n", - "\t}\n", - "\troot.Bokeh = Bokeh;\n", - " }} else if (Date.now() < root._bokeh_timeout) {\n", + " var NewBokeh = root.Bokeh;\n", + " if (Bokeh.versions === undefined) {\n", + " Bokeh.versions = new Map();\n", + " }\n", + " if (NewBokeh.version !== Bokeh.version) {\n", + " Bokeh.versions.set(NewBokeh.version, NewBokeh)\n", + " }\n", + " root.Bokeh = Bokeh;\n", + " }\n", + " } else if (Date.now() < root._bokeh_timeout) {\n", " setTimeout(run_inline_js, 100);\n", " } else if (!root._bokeh_failed_load) {\n", " console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n", @@ -924,8 +869,12 @@ " // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n", " // before older versions are fully initialized.\n", " if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n", + " // If the timeout and bokeh was not successfully loaded we reset\n", + " // everything and try loading again\n", + " root._bokeh_timeout = Date.now() + 5000;\n", " root._bokeh_is_initializing = false;\n", " root._bokeh_onload_callbacks = undefined;\n", + " root._bokeh_is_loading = 0\n", " console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n", " load_or_wait();\n", " } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n", @@ -933,13 +882,16 @@ " } else {\n", " root._bokeh_is_initializing = true\n", " root._bokeh_onload_callbacks = []\n", - " var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n", + " const bokeh_loaded = root.Bokeh != null && (root.Bokeh.version === py_version || (root.Bokeh.versions !== undefined && root.Bokeh.versions.has(py_version)));\n", " if (!reloading && !bokeh_loaded) {\n", - "\troot.Bokeh = undefined;\n", + " if (root.Bokeh) {\n", + " root.Bokeh = undefined;\n", + " }\n", + " console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n", " }\n", " load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n", - "\tconsole.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n", - "\trun_inline_js();\n", + " console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n", + " run_inline_js();\n", " });\n", " }\n", " }\n", @@ -948,7 +900,7 @@ " setTimeout(load_or_wait, 100)\n", "}(window));" ], - "application/vnd.holoviews_load.v0+json": "(function(root) {\n function now() {\n return new Date();\n }\n\n var force = true;\n var py_version = '3.3.2'.replace('rc', '-rc.').replace('.dev', '-dev.');\n var reloading = true;\n var Bokeh = root.Bokeh;\n\n if (typeof (root._bokeh_timeout) === \"undefined\" || force) {\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_failed_load = false;\n }\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) {\n if (callback != null)\n callback();\n });\n } finally {\n delete root._bokeh_onload_callbacks;\n }\n console.debug(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(css_urls, js_urls, js_modules, js_exports, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n if (js_modules == null) js_modules = [];\n if (js_exports == null) js_exports = {};\n\n root._bokeh_onload_callbacks.push(callback);\n\n if (root._bokeh_is_loading > 0) {\n console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n }\n if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n run_callbacks();\n return null;\n }\n if (!reloading) {\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n }\n\n function on_load() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n run_callbacks()\n }\n }\n window._bokeh_on_load = on_load\n\n function on_error() {\n console.error(\"failed to load \" + url);\n }\n\n var skip = [];\n if (window.requirejs) {\n window.requirejs.config({'packages': {}, 'paths': {'jspanel': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/jspanel', 'jspanel-modal': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal', 'jspanel-tooltip': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip', 'jspanel-hint': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint', 'jspanel-layout': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout', 'jspanel-contextmenu': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu', 'jspanel-dock': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock', 'gridstack': 'https://cdn.jsdelivr.net/npm/gridstack@7.2.3/dist/gridstack-all', 'notyf': 'https://cdn.jsdelivr.net/npm/notyf@3/notyf.min'}, 'shim': {'jspanel': {'exports': 'jsPanel'}, 'gridstack': {'exports': 'GridStack'}}});\n require([\"jspanel\"], function(jsPanel) {\n\twindow.jsPanel = jsPanel\n\ton_load()\n })\n require([\"jspanel-modal\"], function() {\n\ton_load()\n })\n require([\"jspanel-tooltip\"], function() {\n\ton_load()\n })\n require([\"jspanel-hint\"], function() {\n\ton_load()\n })\n require([\"jspanel-layout\"], function() {\n\ton_load()\n })\n require([\"jspanel-contextmenu\"], function() {\n\ton_load()\n })\n require([\"jspanel-dock\"], function() {\n\ton_load()\n })\n require([\"gridstack\"], function(GridStack) {\n\twindow.GridStack = GridStack\n\ton_load()\n })\n require([\"notyf\"], function() {\n\ton_load()\n })\n root._bokeh_is_loading = css_urls.length + 9;\n } else {\n root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n }\n\n var existing_stylesheets = []\n var links = document.getElementsByTagName('link')\n for (var i = 0; i < links.length; i++) {\n var link = links[i]\n if (link.href != null) {\n\texisting_stylesheets.push(link.href)\n }\n }\n for (var i = 0; i < css_urls.length; i++) {\n var url = css_urls[i];\n if (existing_stylesheets.indexOf(url) !== -1) {\n\ton_load()\n\tcontinue;\n }\n const element = document.createElement(\"link\");\n element.onload = on_load;\n element.onerror = on_error;\n element.rel = \"stylesheet\";\n element.type = \"text/css\";\n element.href = url;\n console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n document.body.appendChild(element);\n } if (((window['jsPanel'] !== undefined) && (!(window['jsPanel'] instanceof HTMLElement))) || window.requirejs) {\n var urls = ['https://cdn.holoviz.org/panel/1.3.6/dist/bundled/floatpanel/jspanel4@4.12.0/dist/jspanel.js', 'https://cdn.holoviz.org/panel/1.3.6/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal.js', 'https://cdn.holoviz.org/panel/1.3.6/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip.js', 'https://cdn.holoviz.org/panel/1.3.6/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint.js', 'https://cdn.holoviz.org/panel/1.3.6/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout.js', 'https://cdn.holoviz.org/panel/1.3.6/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu.js', 'https://cdn.holoviz.org/panel/1.3.6/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock.js'];\n for (var i = 0; i < urls.length; i++) {\n skip.push(urls[i])\n }\n } if (((window['GridStack'] !== undefined) && (!(window['GridStack'] instanceof HTMLElement))) || window.requirejs) {\n var urls = ['https://cdn.holoviz.org/panel/1.3.6/dist/bundled/gridstack/gridstack@7.2.3/dist/gridstack-all.js'];\n for (var i = 0; i < urls.length; i++) {\n skip.push(urls[i])\n }\n } if (((window['Notyf'] !== undefined) && (!(window['Notyf'] instanceof HTMLElement))) || window.requirejs) {\n var urls = ['https://cdn.holoviz.org/panel/1.3.6/dist/bundled/notificationarea/notyf@3/notyf.min.js'];\n for (var i = 0; i < urls.length; i++) {\n skip.push(urls[i])\n }\n } var existing_scripts = []\n var scripts = document.getElementsByTagName('script')\n for (var i = 0; i < scripts.length; i++) {\n var script = scripts[i]\n if (script.src != null) {\n\texisting_scripts.push(script.src)\n }\n }\n for (var i = 0; i < js_urls.length; i++) {\n var url = js_urls[i];\n if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t on_load();\n\t}\n\tcontinue;\n }\n var element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error;\n element.async = false;\n element.src = url;\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n for (var i = 0; i < js_modules.length; i++) {\n var url = js_modules[i];\n if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t on_load();\n\t}\n\tcontinue;\n }\n var element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error;\n element.async = false;\n element.src = url;\n element.type = \"module\";\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n for (const name in js_exports) {\n var url = js_exports[name];\n if (skip.indexOf(url) >= 0 || root[name] != null) {\n\tif (!window.requirejs) {\n\t on_load();\n\t}\n\tcontinue;\n }\n var element = document.createElement('script');\n element.onerror = on_error;\n element.async = false;\n element.type = \"module\";\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n element.textContent = `\n import ${name} from \"${url}\"\n window.${name} = ${name}\n window._bokeh_on_load()\n `\n document.head.appendChild(element);\n }\n if (!js_urls.length && !js_modules.length) {\n on_load()\n }\n };\n\n function inject_raw_css(css) {\n const element = document.createElement(\"style\");\n element.appendChild(document.createTextNode(css));\n document.body.appendChild(element);\n }\n\n var js_urls = [];\n var js_modules = [];\n var js_exports = {};\n var css_urls = [];\n var inline_js = [ function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\nfunction(Bokeh) {} // ensure no trailing comma for IE\n ];\n\n function run_inline_js() {\n if ((root.Bokeh !== undefined) || (force === true)) {\n for (var i = 0; i < inline_js.length; i++) {\n\ttry {\n inline_js[i].call(root, root.Bokeh);\n\t} catch(e) {\n\t if (!reloading) {\n\t throw e;\n\t }\n\t}\n }\n // Cache old bokeh versions\n if (Bokeh != undefined && !reloading) {\n\tvar NewBokeh = root.Bokeh;\n\tif (Bokeh.versions === undefined) {\n\t Bokeh.versions = new Map();\n\t}\n\tif (NewBokeh.version !== Bokeh.version) {\n\t Bokeh.versions.set(NewBokeh.version, NewBokeh)\n\t}\n\troot.Bokeh = Bokeh;\n }} else if (Date.now() < root._bokeh_timeout) {\n setTimeout(run_inline_js, 100);\n } else if (!root._bokeh_failed_load) {\n console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n root._bokeh_failed_load = true;\n }\n root._bokeh_is_initializing = false\n }\n\n function load_or_wait() {\n // Implement a backoff loop that tries to ensure we do not load multiple\n // versions of Bokeh and its dependencies at the same time.\n // In recent versions we use the root._bokeh_is_initializing flag\n // to determine whether there is an ongoing attempt to initialize\n // bokeh, however for backward compatibility we also try to ensure\n // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n // before older versions are fully initialized.\n if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n root._bokeh_is_initializing = false;\n root._bokeh_onload_callbacks = undefined;\n console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n load_or_wait();\n } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n setTimeout(load_or_wait, 100);\n } else {\n root._bokeh_is_initializing = true\n root._bokeh_onload_callbacks = []\n var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n if (!reloading && !bokeh_loaded) {\n\troot.Bokeh = undefined;\n }\n load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n\tconsole.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n\trun_inline_js();\n });\n }\n }\n // Give older versions of the autoload script a head-start to ensure\n // they initialize before we start loading newer version.\n setTimeout(load_or_wait, 100)\n}(window));" + "application/vnd.holoviews_load.v0+json": "(function(root) {\n function now() {\n return new Date();\n }\n\n const force = false;\n const py_version = '3.7.3'.replace('rc', '-rc.').replace('.dev', '-dev.');\n const reloading = true;\n const Bokeh = root.Bokeh;\n\n // Set a timeout for this load but only if we are not already initializing\n if (typeof (root._bokeh_timeout) === \"undefined\" || (force || !root._bokeh_is_initializing)) {\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_failed_load = false;\n }\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) {\n if (callback != null)\n callback();\n });\n } finally {\n delete root._bokeh_onload_callbacks;\n }\n console.debug(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(css_urls, js_urls, js_modules, js_exports, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n if (js_modules == null) js_modules = [];\n if (js_exports == null) js_exports = {};\n\n root._bokeh_onload_callbacks.push(callback);\n\n if (root._bokeh_is_loading > 0) {\n // Don't load bokeh if it is still initializing\n console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n } else if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n // There is nothing to load\n run_callbacks();\n return null;\n }\n\n function on_load() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n run_callbacks()\n }\n }\n window._bokeh_on_load = on_load\n\n function on_error(e) {\n const src_el = e.srcElement\n console.error(\"failed to load \" + (src_el.href || src_el.src));\n }\n\n const skip = [];\n if (window.requirejs) {\n window.requirejs.config({'packages': {}, 'paths': {}, 'shim': {}});\n root._bokeh_is_loading = css_urls.length + 0;\n } else {\n root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n }\n\n const existing_stylesheets = []\n const links = document.getElementsByTagName('link')\n for (let i = 0; i < links.length; i++) {\n const link = links[i]\n if (link.href != null) {\n existing_stylesheets.push(link.href)\n }\n }\n for (let i = 0; i < css_urls.length; i++) {\n const url = css_urls[i];\n const escaped = encodeURI(url)\n if (existing_stylesheets.indexOf(escaped) !== -1) {\n on_load()\n continue;\n }\n const element = document.createElement(\"link\");\n element.onload = on_load;\n element.onerror = on_error;\n element.rel = \"stylesheet\";\n element.type = \"text/css\";\n element.href = url;\n console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n document.body.appendChild(element);\n } var existing_scripts = []\n const scripts = document.getElementsByTagName('script')\n for (let i = 0; i < scripts.length; i++) {\n var script = scripts[i]\n if (script.src != null) {\n existing_scripts.push(script.src)\n }\n }\n for (let i = 0; i < js_urls.length; i++) {\n const url = js_urls[i];\n const escaped = encodeURI(url)\n if (skip.indexOf(escaped) !== -1 || existing_scripts.indexOf(escaped) !== -1) {\n if (!window.requirejs) {\n on_load();\n }\n continue;\n }\n const element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error;\n element.async = false;\n element.src = url;\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n for (let i = 0; i < js_modules.length; i++) {\n const url = js_modules[i];\n const escaped = encodeURI(url)\n if (skip.indexOf(escaped) !== -1 || existing_scripts.indexOf(escaped) !== -1) {\n if (!window.requirejs) {\n on_load();\n }\n continue;\n }\n var element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error;\n element.async = false;\n element.src = url;\n element.type = \"module\";\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n for (const name in js_exports) {\n const url = js_exports[name];\n const escaped = encodeURI(url)\n if (skip.indexOf(escaped) >= 0 || root[name] != null) {\n if (!window.requirejs) {\n on_load();\n }\n continue;\n }\n var element = document.createElement('script');\n element.onerror = on_error;\n element.async = false;\n element.type = \"module\";\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n element.textContent = `\n import ${name} from \"${url}\"\n window.${name} = ${name}\n window._bokeh_on_load()\n `\n document.head.appendChild(element);\n }\n if (!js_urls.length && !js_modules.length) {\n on_load()\n }\n };\n\n function inject_raw_css(css) {\n const element = document.createElement(\"style\");\n element.appendChild(document.createTextNode(css));\n document.body.appendChild(element);\n }\n\n const js_urls = [\"https://cdn.holoviz.org/panel/1.7.1/dist/bundled/reactiveesm/es-module-shims@^1.10.0/dist/es-module-shims.min.js\"];\n const js_modules = [];\n const js_exports = {};\n const css_urls = [];\n const inline_js = [ function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\nfunction(Bokeh) {} // ensure no trailing comma for IE\n ];\n\n function run_inline_js() {\n if ((root.Bokeh !== undefined) || (force === true)) {\n for (let i = 0; i < inline_js.length; i++) {\n try {\n inline_js[i].call(root, root.Bokeh);\n } catch(e) {\n if (!reloading) {\n throw e;\n }\n }\n }\n // Cache old bokeh versions\n if (Bokeh != undefined && !reloading) {\n var NewBokeh = root.Bokeh;\n if (Bokeh.versions === undefined) {\n Bokeh.versions = new Map();\n }\n if (NewBokeh.version !== Bokeh.version) {\n Bokeh.versions.set(NewBokeh.version, NewBokeh)\n }\n root.Bokeh = Bokeh;\n }\n } else if (Date.now() < root._bokeh_timeout) {\n setTimeout(run_inline_js, 100);\n } else if (!root._bokeh_failed_load) {\n console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n root._bokeh_failed_load = true;\n }\n root._bokeh_is_initializing = false\n }\n\n function load_or_wait() {\n // Implement a backoff loop that tries to ensure we do not load multiple\n // versions of Bokeh and its dependencies at the same time.\n // In recent versions we use the root._bokeh_is_initializing flag\n // to determine whether there is an ongoing attempt to initialize\n // bokeh, however for backward compatibility we also try to ensure\n // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n // before older versions are fully initialized.\n if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n // If the timeout and bokeh was not successfully loaded we reset\n // everything and try loading again\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_is_initializing = false;\n root._bokeh_onload_callbacks = undefined;\n root._bokeh_is_loading = 0\n console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n load_or_wait();\n } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n setTimeout(load_or_wait, 100);\n } else {\n root._bokeh_is_initializing = true\n root._bokeh_onload_callbacks = []\n const bokeh_loaded = root.Bokeh != null && (root.Bokeh.version === py_version || (root.Bokeh.versions !== undefined && root.Bokeh.versions.has(py_version)));\n if (!reloading && !bokeh_loaded) {\n if (root.Bokeh) {\n root.Bokeh = undefined;\n }\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n }\n load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n run_inline_js();\n });\n }\n }\n // Give older versions of the autoload script a head-start to ensure\n // they initialize before we start loading newer version.\n setTimeout(load_or_wait, 100)\n}(window));" }, "metadata": {}, "output_type": "display_data" @@ -1027,7 +979,7 @@ " }\n", " return messages.next().then(processIteratorResult);\n", " }\n", - " }) \n", + " })\n", " var sendClosure = (data, metadata, buffers, disposeOnDone) => {\n", " return comm_promise.then((comm) => {\n", " comm.send(data, metadata, buffers, disposeOnDone);\n", @@ -1196,31 +1148,7 @@ " }\n", "}\n" ], - "application/vnd.holoviews_load.v0+json": "\nif ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n}\n\n\n function JupyterCommManager() {\n }\n\n JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n comm_manager.register_target(comm_id, function(comm) {\n comm.on_msg(msg_handler);\n });\n } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n comm.onMsg = msg_handler;\n });\n } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n google.colab.kernel.comms.registerTarget(comm_id, (comm) => {\n var messages = comm.messages[Symbol.asyncIterator]();\n function processIteratorResult(result) {\n var message = result.value;\n console.log(message)\n var content = {data: message.data, comm_id};\n var buffers = []\n for (var buffer of message.buffers || []) {\n buffers.push(new DataView(buffer))\n }\n var metadata = message.metadata || {};\n var msg = {content, buffers, metadata}\n msg_handler(msg);\n return messages.next().then(processIteratorResult);\n }\n return messages.next().then(processIteratorResult);\n })\n }\n }\n\n JupyterCommManager.prototype.get_client_comm = function(plot_id, comm_id, msg_handler) {\n if (comm_id in window.PyViz.comms) {\n return window.PyViz.comms[comm_id];\n } else if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n var comm = comm_manager.new_comm(comm_id, {}, {}, {}, comm_id);\n if (msg_handler) {\n comm.on_msg(msg_handler);\n }\n } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n var comm = window.PyViz.kernels[plot_id].connectToComm(comm_id);\n comm.open();\n if (msg_handler) {\n comm.onMsg = msg_handler;\n }\n } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n var comm_promise = google.colab.kernel.comms.open(comm_id)\n comm_promise.then((comm) => {\n window.PyViz.comms[comm_id] = comm;\n if (msg_handler) {\n var messages = comm.messages[Symbol.asyncIterator]();\n function processIteratorResult(result) {\n var message = result.value;\n var content = {data: message.data};\n var metadata = message.metadata || {comm_id};\n var msg = {content, metadata}\n msg_handler(msg);\n return messages.next().then(processIteratorResult);\n }\n return messages.next().then(processIteratorResult);\n }\n }) \n var sendClosure = (data, metadata, buffers, disposeOnDone) => {\n return comm_promise.then((comm) => {\n comm.send(data, metadata, buffers, disposeOnDone);\n });\n };\n var comm = {\n send: sendClosure\n };\n }\n window.PyViz.comms[comm_id] = comm;\n return comm;\n }\n window.PyViz.comm_manager = new JupyterCommManager();\n \n\n\nvar JS_MIME_TYPE = 'application/javascript';\nvar HTML_MIME_TYPE = 'text/html';\nvar EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';\nvar CLASS_NAME = 'output';\n\n/**\n * Render data to the DOM node\n */\nfunction render(props, node) {\n var div = document.createElement(\"div\");\n var script = document.createElement(\"script\");\n node.appendChild(div);\n node.appendChild(script);\n}\n\n/**\n * Handle when a new output is added\n */\nfunction handle_add_output(event, handle) {\n var output_area = handle.output_area;\n var output = handle.output;\n if ((output.data == undefined) || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n return\n }\n var id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n if (id !== undefined) {\n var nchildren = toinsert.length;\n var html_node = toinsert[nchildren-1].children[0];\n html_node.innerHTML = output.data[HTML_MIME_TYPE];\n var scripts = [];\n var nodelist = html_node.querySelectorAll(\"script\");\n for (var i in nodelist) {\n if (nodelist.hasOwnProperty(i)) {\n scripts.push(nodelist[i])\n }\n }\n\n scripts.forEach( function (oldScript) {\n var newScript = document.createElement(\"script\");\n var attrs = [];\n var nodemap = oldScript.attributes;\n for (var j in nodemap) {\n if (nodemap.hasOwnProperty(j)) {\n attrs.push(nodemap[j])\n }\n }\n attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n oldScript.parentNode.replaceChild(newScript, oldScript);\n });\n if (JS_MIME_TYPE in output.data) {\n toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n }\n output_area._hv_plot_id = id;\n if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n window.PyViz.plot_index[id] = Bokeh.index[id];\n } else {\n window.PyViz.plot_index[id] = null;\n }\n } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n var bk_div = document.createElement(\"div\");\n bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n var script_attrs = bk_div.children[0].attributes;\n for (var i = 0; i < script_attrs.length; i++) {\n toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n }\n // store reference to server id on output_area\n output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n }\n}\n\n/**\n * Handle when an output is cleared or removed\n */\nfunction handle_clear_output(event, handle) {\n var id = handle.cell.output_area._hv_plot_id;\n var server_id = handle.cell.output_area._bokeh_server_id;\n if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n if (server_id !== null) {\n comm.send({event_type: 'server_delete', 'id': server_id});\n return;\n } else if (comm !== null) {\n comm.send({event_type: 'delete', 'id': id});\n }\n delete PyViz.plot_index[id];\n if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n var doc = window.Bokeh.index[id].model.document\n doc.clear();\n const i = window.Bokeh.documents.indexOf(doc);\n if (i > -1) {\n window.Bokeh.documents.splice(i, 1);\n }\n }\n}\n\n/**\n * Handle kernel restart event\n */\nfunction handle_kernel_cleanup(event, handle) {\n delete PyViz.comms[\"hv-extension-comm\"];\n window.PyViz.plot_index = {}\n}\n\n/**\n * Handle update_display_data messages\n */\nfunction handle_update_output(event, handle) {\n handle_clear_output(event, {cell: {output_area: handle.output_area}})\n handle_add_output(event, handle)\n}\n\nfunction register_renderer(events, OutputArea) {\n function append_mime(data, metadata, element) {\n // create a DOM node to render to\n var toinsert = this.create_output_subarea(\n metadata,\n CLASS_NAME,\n EXEC_MIME_TYPE\n );\n this.keyboard_manager.register_events(toinsert);\n // Render to node\n var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n render(props, toinsert[0]);\n element.append(toinsert);\n return toinsert\n }\n\n events.on('output_added.OutputArea', handle_add_output);\n events.on('output_updated.OutputArea', handle_update_output);\n events.on('clear_output.CodeCell', handle_clear_output);\n events.on('delete.Cell', handle_clear_output);\n events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n\n OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n safe: true,\n index: 0\n });\n}\n\nif (window.Jupyter !== undefined) {\n try {\n var events = require('base/js/events');\n var OutputArea = require('notebook/js/outputarea').OutputArea;\n if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n register_renderer(events, OutputArea);\n }\n } catch(err) {\n }\n}\n" - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "" - ] + "application/vnd.holoviews_load.v0+json": "\nif ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n}\n\n\n function JupyterCommManager() {\n }\n\n JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n comm_manager.register_target(comm_id, function(comm) {\n comm.on_msg(msg_handler);\n });\n } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n comm.onMsg = msg_handler;\n });\n } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n google.colab.kernel.comms.registerTarget(comm_id, (comm) => {\n var messages = comm.messages[Symbol.asyncIterator]();\n function processIteratorResult(result) {\n var message = result.value;\n console.log(message)\n var content = {data: message.data, comm_id};\n var buffers = []\n for (var buffer of message.buffers || []) {\n buffers.push(new DataView(buffer))\n }\n var metadata = message.metadata || {};\n var msg = {content, buffers, metadata}\n msg_handler(msg);\n return messages.next().then(processIteratorResult);\n }\n return messages.next().then(processIteratorResult);\n })\n }\n }\n\n JupyterCommManager.prototype.get_client_comm = function(plot_id, comm_id, msg_handler) {\n if (comm_id in window.PyViz.comms) {\n return window.PyViz.comms[comm_id];\n } else if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n var comm = comm_manager.new_comm(comm_id, {}, {}, {}, comm_id);\n if (msg_handler) {\n comm.on_msg(msg_handler);\n }\n } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n var comm = window.PyViz.kernels[plot_id].connectToComm(comm_id);\n comm.open();\n if (msg_handler) {\n comm.onMsg = msg_handler;\n }\n } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n var comm_promise = google.colab.kernel.comms.open(comm_id)\n comm_promise.then((comm) => {\n window.PyViz.comms[comm_id] = comm;\n if (msg_handler) {\n var messages = comm.messages[Symbol.asyncIterator]();\n function processIteratorResult(result) {\n var message = result.value;\n var content = {data: message.data};\n var metadata = message.metadata || {comm_id};\n var msg = {content, metadata}\n msg_handler(msg);\n return messages.next().then(processIteratorResult);\n }\n return messages.next().then(processIteratorResult);\n }\n })\n var sendClosure = (data, metadata, buffers, disposeOnDone) => {\n return comm_promise.then((comm) => {\n comm.send(data, metadata, buffers, disposeOnDone);\n });\n };\n var comm = {\n send: sendClosure\n };\n }\n window.PyViz.comms[comm_id] = comm;\n return comm;\n }\n window.PyViz.comm_manager = new JupyterCommManager();\n \n\n\nvar JS_MIME_TYPE = 'application/javascript';\nvar HTML_MIME_TYPE = 'text/html';\nvar EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';\nvar CLASS_NAME = 'output';\n\n/**\n * Render data to the DOM node\n */\nfunction render(props, node) {\n var div = document.createElement(\"div\");\n var script = document.createElement(\"script\");\n node.appendChild(div);\n node.appendChild(script);\n}\n\n/**\n * Handle when a new output is added\n */\nfunction handle_add_output(event, handle) {\n var output_area = handle.output_area;\n var output = handle.output;\n if ((output.data == undefined) || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n return\n }\n var id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n if (id !== undefined) {\n var nchildren = toinsert.length;\n var html_node = toinsert[nchildren-1].children[0];\n html_node.innerHTML = output.data[HTML_MIME_TYPE];\n var scripts = [];\n var nodelist = html_node.querySelectorAll(\"script\");\n for (var i in nodelist) {\n if (nodelist.hasOwnProperty(i)) {\n scripts.push(nodelist[i])\n }\n }\n\n scripts.forEach( function (oldScript) {\n var newScript = document.createElement(\"script\");\n var attrs = [];\n var nodemap = oldScript.attributes;\n for (var j in nodemap) {\n if (nodemap.hasOwnProperty(j)) {\n attrs.push(nodemap[j])\n }\n }\n attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n oldScript.parentNode.replaceChild(newScript, oldScript);\n });\n if (JS_MIME_TYPE in output.data) {\n toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n }\n output_area._hv_plot_id = id;\n if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n window.PyViz.plot_index[id] = Bokeh.index[id];\n } else {\n window.PyViz.plot_index[id] = null;\n }\n } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n var bk_div = document.createElement(\"div\");\n bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n var script_attrs = bk_div.children[0].attributes;\n for (var i = 0; i < script_attrs.length; i++) {\n toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n }\n // store reference to server id on output_area\n output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n }\n}\n\n/**\n * Handle when an output is cleared or removed\n */\nfunction handle_clear_output(event, handle) {\n var id = handle.cell.output_area._hv_plot_id;\n var server_id = handle.cell.output_area._bokeh_server_id;\n if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n if (server_id !== null) {\n comm.send({event_type: 'server_delete', 'id': server_id});\n return;\n } else if (comm !== null) {\n comm.send({event_type: 'delete', 'id': id});\n }\n delete PyViz.plot_index[id];\n if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n var doc = window.Bokeh.index[id].model.document\n doc.clear();\n const i = window.Bokeh.documents.indexOf(doc);\n if (i > -1) {\n window.Bokeh.documents.splice(i, 1);\n }\n }\n}\n\n/**\n * Handle kernel restart event\n */\nfunction handle_kernel_cleanup(event, handle) {\n delete PyViz.comms[\"hv-extension-comm\"];\n window.PyViz.plot_index = {}\n}\n\n/**\n * Handle update_display_data messages\n */\nfunction handle_update_output(event, handle) {\n handle_clear_output(event, {cell: {output_area: handle.output_area}})\n handle_add_output(event, handle)\n}\n\nfunction register_renderer(events, OutputArea) {\n function append_mime(data, metadata, element) {\n // create a DOM node to render to\n var toinsert = this.create_output_subarea(\n metadata,\n CLASS_NAME,\n EXEC_MIME_TYPE\n );\n this.keyboard_manager.register_events(toinsert);\n // Render to node\n var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n render(props, toinsert[0]);\n element.append(toinsert);\n return toinsert\n }\n\n events.on('output_added.OutputArea', handle_add_output);\n events.on('output_updated.OutputArea', handle_update_output);\n events.on('clear_output.CodeCell', handle_clear_output);\n events.on('delete.Cell', handle_clear_output);\n events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n\n OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n safe: true,\n index: 0\n });\n}\n\nif (window.Jupyter !== undefined) {\n try {\n var events = require('base/js/events');\n var OutputArea = require('notebook/js/outputarea').OutputArea;\n if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n register_renderer(events, OutputArea);\n }\n } catch(err) {\n }\n}\n" }, "metadata": {}, "output_type": "display_data" @@ -1299,8 +1227,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "CPU times: user 2.84 s, sys: 435 ms, total: 3.28 s\n", - "Wall time: 3.02 s\n" + "CPU times: user 2.95 s, sys: 442 ms, total: 3.39 s\n", + "Wall time: 3.16 s\n" ] }, { @@ -1334,26 +1262,26 @@ " \n", " \n", " count\n", + " 2.802888e+06\n", " 2.958474e+06\n", - " 2.958474e+06\n", - " 2.640897e+06\n", - " 2.641012e+06\n", + " 2.485314e+06\n", + " 2.641013e+06\n", " 3.089121e+06\n", " \n", " \n", " mean\n", - " 8.000957e-04\n", + " 8.148954e-04\n", " 2.834412e+00\n", - " 5.389152e-03\n", - " 8.504460e-04\n", + " 5.545328e-03\n", + " 8.504428e-04\n", " 2.552477e+01\n", " \n", " \n", " std\n", - " 9.126802e-04\n", + " 9.293103e-04\n", " 4.125903e+00\n", - " 1.381911e-01\n", - " 1.271021e-03\n", + " 1.424482e-01\n", + " 1.270960e-03\n", " 4.980304e-01\n", " \n", " \n", @@ -1366,25 +1294,25 @@ " \n", " \n", " 25%\n", - " 3.050741e-04\n", + " 3.136993e-04\n", " 2.999636e-01\n", - " 1.760964e-03\n", + " 1.818231e-03\n", " 1.180226e-04\n", " 2.514274e+01\n", " \n", " \n", " 50%\n", - " 5.366038e-04\n", + " 5.490146e-04\n", " 1.224409e+00\n", - " 3.234081e-03\n", + " 3.334255e-03\n", " 3.405780e-04\n", " 2.554874e+01\n", " \n", " \n", " 75%\n", - " 9.489363e-04\n", + " 9.538205e-04\n", " 3.660220e+00\n", - " 5.953063e-03\n", + " 6.037374e-03\n", " 1.099934e-03\n", " 2.591462e+01\n", " \n", @@ -1402,19 +1330,19 @@ ], "text/plain": [ "name ecopuck_bbp700 (m^-1 sr^-1) ecopuck_chl (ug/l) hs2_bb700 (m-1) \\\n", - "count 2.958474e+06 2.958474e+06 2.640897e+06 \n", - "mean 8.000957e-04 2.834412e+00 5.389152e-03 \n", - "std 9.126802e-04 4.125903e+00 1.381911e-01 \n", + "count 2.802888e+06 2.958474e+06 2.485314e+06 \n", + "mean 8.148954e-04 2.834412e+00 5.545328e-03 \n", + "std 9.293103e-04 4.125903e+00 1.424482e-01 \n", "min 9.618370e-05 2.455455e-02 -5.239460e-03 \n", - "25% 3.050741e-04 2.999636e-01 1.760964e-03 \n", - "50% 5.366038e-04 1.224409e+00 3.234081e-03 \n", - "75% 9.489363e-04 3.660220e+00 5.953063e-03 \n", + "25% 3.136993e-04 2.999636e-01 1.818231e-03 \n", + "50% 5.490146e-04 1.224409e+00 3.334255e-03 \n", + "75% 9.538205e-04 3.660220e+00 6.037374e-03 \n", "max 6.669172e-03 2.982050e+01 1.874973e+02 \n", "\n", "name hs2_fl700 sigmat \n", - "count 2.641012e+06 3.089121e+06 \n", - "mean 8.504460e-04 2.552477e+01 \n", - "std 1.271021e-03 4.980304e-01 \n", + "count 2.641013e+06 3.089121e+06 \n", + "mean 8.504428e-04 2.552477e+01 \n", + "std 1.270960e-03 4.980304e-01 \n", "min -5.433764e-02 2.219897e+01 \n", "25% 1.180226e-04 2.514274e+01 \n", "50% 3.405780e-04 2.554874e+01 \n", @@ -1450,9 +1378,11 @@ "\n", "\n", "# Takes several minutes to retrieve the data the first time, thereafter it's read from a local cache\n", + "downloader = pooch.HTTPDownloader(timeout=(60, 300)) # (connect, read) timeouts in seconds\n", "data_file = pooch.retrieve(\n", " url=stoqs_url,\n", - " known_hash=\"ac2fbe9bcd091f2dd225be21a4450be8571794b4ef7c493079700f5cd1c2f4d0\",\n", + " known_hash=\"d27d5b4ffbdfd04a56cb0c1eb4ee6c6d379200132b088d97346cb818e0ee0462\",\n", + " downloader=downloader,\n", ")\n", "df = pd.read_parquet(data_file)\n", "df.describe()" @@ -1970,7 +1900,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.13" + "version": "3.12.10" }, "vscode": { "interpreter": { From 55b63ae4dd4f74664172561979825db60d5260dd Mon Sep 17 00:00:00 2001 From: Mike McCann Date: Thu, 12 Jun 2025 11:01:20 -0700 Subject: [PATCH 64/66] UIpdated for use with pyhon3.12. --- ...-calibrate-dorado-pontus-backscatter.ipynb | 571 ++++++++---------- 1 file changed, 251 insertions(+), 320 deletions(-) diff --git a/notebooks/6.1-mpm-cross-calibrate-dorado-pontus-backscatter.ipynb b/notebooks/6.1-mpm-cross-calibrate-dorado-pontus-backscatter.ipynb index cfc413fe..949e9c8e 100644 --- a/notebooks/6.1-mpm-cross-calibrate-dorado-pontus-backscatter.ipynb +++ b/notebooks/6.1-mpm-cross-calibrate-dorado-pontus-backscatter.ipynb @@ -6,20 +6,7 @@ "source": [ "#### Cross calibrate co-located Dorado and Pontus fluorescence and backscatter data\n", "\n", - "This Notebook is part of the auv-python project (private repository at https://github.com/mbari-org/auv-python).\n", - "\n", - "To execute it (for example):\n", - "\n", - "```bash\n", - " cd GitHub # Or other appropriate directory on your computer\n", - " git clone https://github.com/mbari-org/auv-python.git\n", - " cd auv-python\n", - " poetry install\n", - " poetry shell\n", - " cd notebooks\n", - " jupyter lab\n", - " # Open this notebook and run it from your browser - note that bokeh interactivity does not work in VS Code\n", - "```\n" + "This Notebook is part of the auv-python project (https://github.com/mbari-org/auv-python)." ] }, { @@ -27,6 +14,30 @@ "execution_count": 1, "metadata": {}, "outputs": [ + { + "data": { + "text/html": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, { "data": { "application/javascript": [ @@ -35,12 +46,13 @@ " return new Date();\n", " }\n", "\n", - " var force = true;\n", - " var py_version = '3.3.2'.replace('rc', '-rc.').replace('.dev', '-dev.');\n", - " var reloading = false;\n", - " var Bokeh = root.Bokeh;\n", + " const force = true;\n", + " const py_version = '3.7.3'.replace('rc', '-rc.').replace('.dev', '-dev.');\n", + " const reloading = false;\n", + " const Bokeh = root.Bokeh;\n", "\n", - " if (typeof (root._bokeh_timeout) === \"undefined\" || force) {\n", + " // Set a timeout for this load but only if we are not already initializing\n", + " if (typeof (root._bokeh_timeout) === \"undefined\" || (force || !root._bokeh_is_initializing)) {\n", " root._bokeh_timeout = Date.now() + 5000;\n", " root._bokeh_failed_load = false;\n", " }\n", @@ -66,16 +78,14 @@ " root._bokeh_onload_callbacks.push(callback);\n", "\n", " if (root._bokeh_is_loading > 0) {\n", + " // Don't load bokeh if it is still initializing\n", " console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n", " return null;\n", - " }\n", - " if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n", + " } else if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n", + " // There is nothing to load\n", " run_callbacks();\n", " return null;\n", " }\n", - " if (!reloading) {\n", - " console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n", - " }\n", "\n", " function on_load() {\n", " root._bokeh_is_loading--;\n", @@ -86,60 +96,33 @@ " }\n", " window._bokeh_on_load = on_load\n", "\n", - " function on_error() {\n", - " console.error(\"failed to load \" + url);\n", + " function on_error(e) {\n", + " const src_el = e.srcElement\n", + " console.error(\"failed to load \" + (src_el.href || src_el.src));\n", " }\n", "\n", - " var skip = [];\n", + " const skip = [];\n", " if (window.requirejs) {\n", - " window.requirejs.config({'packages': {}, 'paths': {'jspanel': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/jspanel', 'jspanel-modal': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal', 'jspanel-tooltip': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip', 'jspanel-hint': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint', 'jspanel-layout': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout', 'jspanel-contextmenu': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu', 'jspanel-dock': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock', 'gridstack': 'https://cdn.jsdelivr.net/npm/gridstack@7.2.3/dist/gridstack-all', 'notyf': 'https://cdn.jsdelivr.net/npm/notyf@3/notyf.min'}, 'shim': {'jspanel': {'exports': 'jsPanel'}, 'gridstack': {'exports': 'GridStack'}}});\n", - " require([\"jspanel\"], function(jsPanel) {\n", - "\twindow.jsPanel = jsPanel\n", - "\ton_load()\n", - " })\n", - " require([\"jspanel-modal\"], function() {\n", - "\ton_load()\n", - " })\n", - " require([\"jspanel-tooltip\"], function() {\n", - "\ton_load()\n", - " })\n", - " require([\"jspanel-hint\"], function() {\n", - "\ton_load()\n", - " })\n", - " require([\"jspanel-layout\"], function() {\n", - "\ton_load()\n", - " })\n", - " require([\"jspanel-contextmenu\"], function() {\n", - "\ton_load()\n", - " })\n", - " require([\"jspanel-dock\"], function() {\n", - "\ton_load()\n", - " })\n", - " require([\"gridstack\"], function(GridStack) {\n", - "\twindow.GridStack = GridStack\n", - "\ton_load()\n", - " })\n", - " require([\"notyf\"], function() {\n", - "\ton_load()\n", - " })\n", - " root._bokeh_is_loading = css_urls.length + 9;\n", + " window.requirejs.config({'packages': {}, 'paths': {}, 'shim': {}});\n", + " root._bokeh_is_loading = css_urls.length + 0;\n", " } else {\n", " root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n", " }\n", "\n", - " var existing_stylesheets = []\n", - " var links = document.getElementsByTagName('link')\n", - " for (var i = 0; i < links.length; i++) {\n", - " var link = links[i]\n", + " const existing_stylesheets = []\n", + " const links = document.getElementsByTagName('link')\n", + " for (let i = 0; i < links.length; i++) {\n", + " const link = links[i]\n", " if (link.href != null) {\n", - "\texisting_stylesheets.push(link.href)\n", + " existing_stylesheets.push(link.href)\n", " }\n", " }\n", - " for (var i = 0; i < css_urls.length; i++) {\n", - " var url = css_urls[i];\n", - " if (existing_stylesheets.indexOf(url) !== -1) {\n", - "\ton_load()\n", - "\tcontinue;\n", + " for (let i = 0; i < css_urls.length; i++) {\n", + " const url = css_urls[i];\n", + " const escaped = encodeURI(url)\n", + " if (existing_stylesheets.indexOf(escaped) !== -1) {\n", + " on_load()\n", + " continue;\n", " }\n", " const element = document.createElement(\"link\");\n", " element.onload = on_load;\n", @@ -149,38 +132,24 @@ " element.href = url;\n", " console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n", " document.body.appendChild(element);\n", - " } if (((window['jsPanel'] !== undefined) && (!(window['jsPanel'] instanceof HTMLElement))) || window.requirejs) {\n", - " var urls = ['https://cdn.holoviz.org/panel/1.3.6/dist/bundled/floatpanel/jspanel4@4.12.0/dist/jspanel.js', 'https://cdn.holoviz.org/panel/1.3.6/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal.js', 'https://cdn.holoviz.org/panel/1.3.6/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip.js', 'https://cdn.holoviz.org/panel/1.3.6/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint.js', 'https://cdn.holoviz.org/panel/1.3.6/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout.js', 'https://cdn.holoviz.org/panel/1.3.6/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu.js', 'https://cdn.holoviz.org/panel/1.3.6/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock.js'];\n", - " for (var i = 0; i < urls.length; i++) {\n", - " skip.push(urls[i])\n", - " }\n", - " } if (((window['GridStack'] !== undefined) && (!(window['GridStack'] instanceof HTMLElement))) || window.requirejs) {\n", - " var urls = ['https://cdn.holoviz.org/panel/1.3.6/dist/bundled/gridstack/gridstack@7.2.3/dist/gridstack-all.js'];\n", - " for (var i = 0; i < urls.length; i++) {\n", - " skip.push(urls[i])\n", - " }\n", - " } if (((window['Notyf'] !== undefined) && (!(window['Notyf'] instanceof HTMLElement))) || window.requirejs) {\n", - " var urls = ['https://cdn.holoviz.org/panel/1.3.6/dist/bundled/notificationarea/notyf@3/notyf.min.js'];\n", - " for (var i = 0; i < urls.length; i++) {\n", - " skip.push(urls[i])\n", - " }\n", " } var existing_scripts = []\n", - " var scripts = document.getElementsByTagName('script')\n", - " for (var i = 0; i < scripts.length; i++) {\n", + " const scripts = document.getElementsByTagName('script')\n", + " for (let i = 0; i < scripts.length; i++) {\n", " var script = scripts[i]\n", " if (script.src != null) {\n", - "\texisting_scripts.push(script.src)\n", + " existing_scripts.push(script.src)\n", " }\n", " }\n", - " for (var i = 0; i < js_urls.length; i++) {\n", - " var url = js_urls[i];\n", - " if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n", - "\tif (!window.requirejs) {\n", - "\t on_load();\n", - "\t}\n", - "\tcontinue;\n", + " for (let i = 0; i < js_urls.length; i++) {\n", + " const url = js_urls[i];\n", + " const escaped = encodeURI(url)\n", + " if (skip.indexOf(escaped) !== -1 || existing_scripts.indexOf(escaped) !== -1) {\n", + " if (!window.requirejs) {\n", + " on_load();\n", + " }\n", + " continue;\n", " }\n", - " var element = document.createElement('script');\n", + " const element = document.createElement('script');\n", " element.onload = on_load;\n", " element.onerror = on_error;\n", " element.async = false;\n", @@ -188,13 +157,14 @@ " console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n", " document.head.appendChild(element);\n", " }\n", - " for (var i = 0; i < js_modules.length; i++) {\n", - " var url = js_modules[i];\n", - " if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n", - "\tif (!window.requirejs) {\n", - "\t on_load();\n", - "\t}\n", - "\tcontinue;\n", + " for (let i = 0; i < js_modules.length; i++) {\n", + " const url = js_modules[i];\n", + " const escaped = encodeURI(url)\n", + " if (skip.indexOf(escaped) !== -1 || existing_scripts.indexOf(escaped) !== -1) {\n", + " if (!window.requirejs) {\n", + " on_load();\n", + " }\n", + " continue;\n", " }\n", " var element = document.createElement('script');\n", " element.onload = on_load;\n", @@ -206,12 +176,13 @@ " document.head.appendChild(element);\n", " }\n", " for (const name in js_exports) {\n", - " var url = js_exports[name];\n", - " if (skip.indexOf(url) >= 0 || root[name] != null) {\n", - "\tif (!window.requirejs) {\n", - "\t on_load();\n", - "\t}\n", - "\tcontinue;\n", + " const url = js_exports[name];\n", + " const escaped = encodeURI(url)\n", + " if (skip.indexOf(escaped) >= 0 || root[name] != null) {\n", + " if (!window.requirejs) {\n", + " on_load();\n", + " }\n", + " continue;\n", " }\n", " var element = document.createElement('script');\n", " element.onerror = on_error;\n", @@ -236,11 +207,11 @@ " document.body.appendChild(element);\n", " }\n", "\n", - " var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.3.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.3.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.3.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.3.2.min.js\", \"https://cdn.holoviz.org/panel/1.3.6/dist/panel.min.js\"];\n", - " var js_modules = [];\n", - " var js_exports = {};\n", - " var css_urls = [];\n", - " var inline_js = [ function(Bokeh) {\n", + " const js_urls = [\"https://cdn.holoviz.org/panel/1.7.1/dist/bundled/reactiveesm/es-module-shims@^1.10.0/dist/es-module-shims.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-3.7.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.7.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.7.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.7.3.min.js\", \"https://cdn.holoviz.org/panel/1.7.1/dist/panel.min.js\"];\n", + " const js_modules = [];\n", + " const js_exports = {};\n", + " const css_urls = [];\n", + " const inline_js = [ function(Bokeh) {\n", " Bokeh.set_log_level(\"info\");\n", " },\n", "function(Bokeh) {} // ensure no trailing comma for IE\n", @@ -248,26 +219,27 @@ "\n", " function run_inline_js() {\n", " if ((root.Bokeh !== undefined) || (force === true)) {\n", - " for (var i = 0; i < inline_js.length; i++) {\n", - "\ttry {\n", + " for (let i = 0; i < inline_js.length; i++) {\n", + " try {\n", " inline_js[i].call(root, root.Bokeh);\n", - "\t} catch(e) {\n", - "\t if (!reloading) {\n", - "\t throw e;\n", - "\t }\n", - "\t}\n", + " } catch(e) {\n", + " if (!reloading) {\n", + " throw e;\n", + " }\n", + " }\n", " }\n", " // Cache old bokeh versions\n", " if (Bokeh != undefined && !reloading) {\n", - "\tvar NewBokeh = root.Bokeh;\n", - "\tif (Bokeh.versions === undefined) {\n", - "\t Bokeh.versions = new Map();\n", - "\t}\n", - "\tif (NewBokeh.version !== Bokeh.version) {\n", - "\t Bokeh.versions.set(NewBokeh.version, NewBokeh)\n", - "\t}\n", - "\troot.Bokeh = Bokeh;\n", - " }} else if (Date.now() < root._bokeh_timeout) {\n", + " var NewBokeh = root.Bokeh;\n", + " if (Bokeh.versions === undefined) {\n", + " Bokeh.versions = new Map();\n", + " }\n", + " if (NewBokeh.version !== Bokeh.version) {\n", + " Bokeh.versions.set(NewBokeh.version, NewBokeh)\n", + " }\n", + " root.Bokeh = Bokeh;\n", + " }\n", + " } else if (Date.now() < root._bokeh_timeout) {\n", " setTimeout(run_inline_js, 100);\n", " } else if (!root._bokeh_failed_load) {\n", " console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n", @@ -285,8 +257,12 @@ " // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n", " // before older versions are fully initialized.\n", " if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n", + " // If the timeout and bokeh was not successfully loaded we reset\n", + " // everything and try loading again\n", + " root._bokeh_timeout = Date.now() + 5000;\n", " root._bokeh_is_initializing = false;\n", " root._bokeh_onload_callbacks = undefined;\n", + " root._bokeh_is_loading = 0\n", " console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n", " load_or_wait();\n", " } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n", @@ -294,13 +270,16 @@ " } else {\n", " root._bokeh_is_initializing = true\n", " root._bokeh_onload_callbacks = []\n", - " var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n", + " const bokeh_loaded = root.Bokeh != null && (root.Bokeh.version === py_version || (root.Bokeh.versions !== undefined && root.Bokeh.versions.has(py_version)));\n", " if (!reloading && !bokeh_loaded) {\n", - "\troot.Bokeh = undefined;\n", + " if (root.Bokeh) {\n", + " root.Bokeh = undefined;\n", + " }\n", + " console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n", " }\n", " load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n", - "\tconsole.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n", - "\trun_inline_js();\n", + " console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n", + " run_inline_js();\n", " });\n", " }\n", " }\n", @@ -309,7 +288,7 @@ " setTimeout(load_or_wait, 100)\n", "}(window));" ], - "application/vnd.holoviews_load.v0+json": "(function(root) {\n function now() {\n return new Date();\n }\n\n var force = true;\n var py_version = '3.3.2'.replace('rc', '-rc.').replace('.dev', '-dev.');\n var reloading = false;\n var Bokeh = root.Bokeh;\n\n if (typeof (root._bokeh_timeout) === \"undefined\" || force) {\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_failed_load = false;\n }\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) {\n if (callback != null)\n callback();\n });\n } finally {\n delete root._bokeh_onload_callbacks;\n }\n console.debug(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(css_urls, js_urls, js_modules, js_exports, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n if (js_modules == null) js_modules = [];\n if (js_exports == null) js_exports = {};\n\n root._bokeh_onload_callbacks.push(callback);\n\n if (root._bokeh_is_loading > 0) {\n console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n }\n if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n run_callbacks();\n return null;\n }\n if (!reloading) {\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n }\n\n function on_load() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n run_callbacks()\n }\n }\n window._bokeh_on_load = on_load\n\n function on_error() {\n console.error(\"failed to load \" + url);\n }\n\n var skip = [];\n if (window.requirejs) {\n window.requirejs.config({'packages': {}, 'paths': {'jspanel': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/jspanel', 'jspanel-modal': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal', 'jspanel-tooltip': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip', 'jspanel-hint': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint', 'jspanel-layout': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout', 'jspanel-contextmenu': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu', 'jspanel-dock': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock', 'gridstack': 'https://cdn.jsdelivr.net/npm/gridstack@7.2.3/dist/gridstack-all', 'notyf': 'https://cdn.jsdelivr.net/npm/notyf@3/notyf.min'}, 'shim': {'jspanel': {'exports': 'jsPanel'}, 'gridstack': {'exports': 'GridStack'}}});\n require([\"jspanel\"], function(jsPanel) {\n\twindow.jsPanel = jsPanel\n\ton_load()\n })\n require([\"jspanel-modal\"], function() {\n\ton_load()\n })\n require([\"jspanel-tooltip\"], function() {\n\ton_load()\n })\n require([\"jspanel-hint\"], function() {\n\ton_load()\n })\n require([\"jspanel-layout\"], function() {\n\ton_load()\n })\n require([\"jspanel-contextmenu\"], function() {\n\ton_load()\n })\n require([\"jspanel-dock\"], function() {\n\ton_load()\n })\n require([\"gridstack\"], function(GridStack) {\n\twindow.GridStack = GridStack\n\ton_load()\n })\n require([\"notyf\"], function() {\n\ton_load()\n })\n root._bokeh_is_loading = css_urls.length + 9;\n } else {\n root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n }\n\n var existing_stylesheets = []\n var links = document.getElementsByTagName('link')\n for (var i = 0; i < links.length; i++) {\n var link = links[i]\n if (link.href != null) {\n\texisting_stylesheets.push(link.href)\n }\n }\n for (var i = 0; i < css_urls.length; i++) {\n var url = css_urls[i];\n if (existing_stylesheets.indexOf(url) !== -1) {\n\ton_load()\n\tcontinue;\n }\n const element = document.createElement(\"link\");\n element.onload = on_load;\n element.onerror = on_error;\n element.rel = \"stylesheet\";\n element.type = \"text/css\";\n element.href = url;\n console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n document.body.appendChild(element);\n } if (((window['jsPanel'] !== undefined) && (!(window['jsPanel'] instanceof HTMLElement))) || window.requirejs) {\n var urls = ['https://cdn.holoviz.org/panel/1.3.6/dist/bundled/floatpanel/jspanel4@4.12.0/dist/jspanel.js', 'https://cdn.holoviz.org/panel/1.3.6/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal.js', 'https://cdn.holoviz.org/panel/1.3.6/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip.js', 'https://cdn.holoviz.org/panel/1.3.6/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint.js', 'https://cdn.holoviz.org/panel/1.3.6/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout.js', 'https://cdn.holoviz.org/panel/1.3.6/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu.js', 'https://cdn.holoviz.org/panel/1.3.6/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock.js'];\n for (var i = 0; i < urls.length; i++) {\n skip.push(urls[i])\n }\n } if (((window['GridStack'] !== undefined) && (!(window['GridStack'] instanceof HTMLElement))) || window.requirejs) {\n var urls = ['https://cdn.holoviz.org/panel/1.3.6/dist/bundled/gridstack/gridstack@7.2.3/dist/gridstack-all.js'];\n for (var i = 0; i < urls.length; i++) {\n skip.push(urls[i])\n }\n } if (((window['Notyf'] !== undefined) && (!(window['Notyf'] instanceof HTMLElement))) || window.requirejs) {\n var urls = ['https://cdn.holoviz.org/panel/1.3.6/dist/bundled/notificationarea/notyf@3/notyf.min.js'];\n for (var i = 0; i < urls.length; i++) {\n skip.push(urls[i])\n }\n } var existing_scripts = []\n var scripts = document.getElementsByTagName('script')\n for (var i = 0; i < scripts.length; i++) {\n var script = scripts[i]\n if (script.src != null) {\n\texisting_scripts.push(script.src)\n }\n }\n for (var i = 0; i < js_urls.length; i++) {\n var url = js_urls[i];\n if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t on_load();\n\t}\n\tcontinue;\n }\n var element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error;\n element.async = false;\n element.src = url;\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n for (var i = 0; i < js_modules.length; i++) {\n var url = js_modules[i];\n if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t on_load();\n\t}\n\tcontinue;\n }\n var element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error;\n element.async = false;\n element.src = url;\n element.type = \"module\";\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n for (const name in js_exports) {\n var url = js_exports[name];\n if (skip.indexOf(url) >= 0 || root[name] != null) {\n\tif (!window.requirejs) {\n\t on_load();\n\t}\n\tcontinue;\n }\n var element = document.createElement('script');\n element.onerror = on_error;\n element.async = false;\n element.type = \"module\";\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n element.textContent = `\n import ${name} from \"${url}\"\n window.${name} = ${name}\n window._bokeh_on_load()\n `\n document.head.appendChild(element);\n }\n if (!js_urls.length && !js_modules.length) {\n on_load()\n }\n };\n\n function inject_raw_css(css) {\n const element = document.createElement(\"style\");\n element.appendChild(document.createTextNode(css));\n document.body.appendChild(element);\n }\n\n var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.3.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.3.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.3.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.3.2.min.js\", \"https://cdn.holoviz.org/panel/1.3.6/dist/panel.min.js\"];\n var js_modules = [];\n var js_exports = {};\n var css_urls = [];\n var inline_js = [ function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\nfunction(Bokeh) {} // ensure no trailing comma for IE\n ];\n\n function run_inline_js() {\n if ((root.Bokeh !== undefined) || (force === true)) {\n for (var i = 0; i < inline_js.length; i++) {\n\ttry {\n inline_js[i].call(root, root.Bokeh);\n\t} catch(e) {\n\t if (!reloading) {\n\t throw e;\n\t }\n\t}\n }\n // Cache old bokeh versions\n if (Bokeh != undefined && !reloading) {\n\tvar NewBokeh = root.Bokeh;\n\tif (Bokeh.versions === undefined) {\n\t Bokeh.versions = new Map();\n\t}\n\tif (NewBokeh.version !== Bokeh.version) {\n\t Bokeh.versions.set(NewBokeh.version, NewBokeh)\n\t}\n\troot.Bokeh = Bokeh;\n }} else if (Date.now() < root._bokeh_timeout) {\n setTimeout(run_inline_js, 100);\n } else if (!root._bokeh_failed_load) {\n console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n root._bokeh_failed_load = true;\n }\n root._bokeh_is_initializing = false\n }\n\n function load_or_wait() {\n // Implement a backoff loop that tries to ensure we do not load multiple\n // versions of Bokeh and its dependencies at the same time.\n // In recent versions we use the root._bokeh_is_initializing flag\n // to determine whether there is an ongoing attempt to initialize\n // bokeh, however for backward compatibility we also try to ensure\n // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n // before older versions are fully initialized.\n if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n root._bokeh_is_initializing = false;\n root._bokeh_onload_callbacks = undefined;\n console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n load_or_wait();\n } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n setTimeout(load_or_wait, 100);\n } else {\n root._bokeh_is_initializing = true\n root._bokeh_onload_callbacks = []\n var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n if (!reloading && !bokeh_loaded) {\n\troot.Bokeh = undefined;\n }\n load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n\tconsole.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n\trun_inline_js();\n });\n }\n }\n // Give older versions of the autoload script a head-start to ensure\n // they initialize before we start loading newer version.\n setTimeout(load_or_wait, 100)\n}(window));" + "application/vnd.holoviews_load.v0+json": "(function(root) {\n function now() {\n return new Date();\n }\n\n const force = true;\n const py_version = '3.7.3'.replace('rc', '-rc.').replace('.dev', '-dev.');\n const reloading = false;\n const Bokeh = root.Bokeh;\n\n // Set a timeout for this load but only if we are not already initializing\n if (typeof (root._bokeh_timeout) === \"undefined\" || (force || !root._bokeh_is_initializing)) {\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_failed_load = false;\n }\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) {\n if (callback != null)\n callback();\n });\n } finally {\n delete root._bokeh_onload_callbacks;\n }\n console.debug(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(css_urls, js_urls, js_modules, js_exports, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n if (js_modules == null) js_modules = [];\n if (js_exports == null) js_exports = {};\n\n root._bokeh_onload_callbacks.push(callback);\n\n if (root._bokeh_is_loading > 0) {\n // Don't load bokeh if it is still initializing\n console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n } else if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n // There is nothing to load\n run_callbacks();\n return null;\n }\n\n function on_load() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n run_callbacks()\n }\n }\n window._bokeh_on_load = on_load\n\n function on_error(e) {\n const src_el = e.srcElement\n console.error(\"failed to load \" + (src_el.href || src_el.src));\n }\n\n const skip = [];\n if (window.requirejs) {\n window.requirejs.config({'packages': {}, 'paths': {}, 'shim': {}});\n root._bokeh_is_loading = css_urls.length + 0;\n } else {\n root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n }\n\n const existing_stylesheets = []\n const links = document.getElementsByTagName('link')\n for (let i = 0; i < links.length; i++) {\n const link = links[i]\n if (link.href != null) {\n existing_stylesheets.push(link.href)\n }\n }\n for (let i = 0; i < css_urls.length; i++) {\n const url = css_urls[i];\n const escaped = encodeURI(url)\n if (existing_stylesheets.indexOf(escaped) !== -1) {\n on_load()\n continue;\n }\n const element = document.createElement(\"link\");\n element.onload = on_load;\n element.onerror = on_error;\n element.rel = \"stylesheet\";\n element.type = \"text/css\";\n element.href = url;\n console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n document.body.appendChild(element);\n } var existing_scripts = []\n const scripts = document.getElementsByTagName('script')\n for (let i = 0; i < scripts.length; i++) {\n var script = scripts[i]\n if (script.src != null) {\n existing_scripts.push(script.src)\n }\n }\n for (let i = 0; i < js_urls.length; i++) {\n const url = js_urls[i];\n const escaped = encodeURI(url)\n if (skip.indexOf(escaped) !== -1 || existing_scripts.indexOf(escaped) !== -1) {\n if (!window.requirejs) {\n on_load();\n }\n continue;\n }\n const element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error;\n element.async = false;\n element.src = url;\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n for (let i = 0; i < js_modules.length; i++) {\n const url = js_modules[i];\n const escaped = encodeURI(url)\n if (skip.indexOf(escaped) !== -1 || existing_scripts.indexOf(escaped) !== -1) {\n if (!window.requirejs) {\n on_load();\n }\n continue;\n }\n var element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error;\n element.async = false;\n element.src = url;\n element.type = \"module\";\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n for (const name in js_exports) {\n const url = js_exports[name];\n const escaped = encodeURI(url)\n if (skip.indexOf(escaped) >= 0 || root[name] != null) {\n if (!window.requirejs) {\n on_load();\n }\n continue;\n }\n var element = document.createElement('script');\n element.onerror = on_error;\n element.async = false;\n element.type = \"module\";\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n element.textContent = `\n import ${name} from \"${url}\"\n window.${name} = ${name}\n window._bokeh_on_load()\n `\n document.head.appendChild(element);\n }\n if (!js_urls.length && !js_modules.length) {\n on_load()\n }\n };\n\n function inject_raw_css(css) {\n const element = document.createElement(\"style\");\n element.appendChild(document.createTextNode(css));\n document.body.appendChild(element);\n }\n\n const js_urls = [\"https://cdn.holoviz.org/panel/1.7.1/dist/bundled/reactiveesm/es-module-shims@^1.10.0/dist/es-module-shims.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-3.7.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.7.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.7.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.7.3.min.js\", \"https://cdn.holoviz.org/panel/1.7.1/dist/panel.min.js\"];\n const js_modules = [];\n const js_exports = {};\n const css_urls = [];\n const inline_js = [ function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\nfunction(Bokeh) {} // ensure no trailing comma for IE\n ];\n\n function run_inline_js() {\n if ((root.Bokeh !== undefined) || (force === true)) {\n for (let i = 0; i < inline_js.length; i++) {\n try {\n inline_js[i].call(root, root.Bokeh);\n } catch(e) {\n if (!reloading) {\n throw e;\n }\n }\n }\n // Cache old bokeh versions\n if (Bokeh != undefined && !reloading) {\n var NewBokeh = root.Bokeh;\n if (Bokeh.versions === undefined) {\n Bokeh.versions = new Map();\n }\n if (NewBokeh.version !== Bokeh.version) {\n Bokeh.versions.set(NewBokeh.version, NewBokeh)\n }\n root.Bokeh = Bokeh;\n }\n } else if (Date.now() < root._bokeh_timeout) {\n setTimeout(run_inline_js, 100);\n } else if (!root._bokeh_failed_load) {\n console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n root._bokeh_failed_load = true;\n }\n root._bokeh_is_initializing = false\n }\n\n function load_or_wait() {\n // Implement a backoff loop that tries to ensure we do not load multiple\n // versions of Bokeh and its dependencies at the same time.\n // In recent versions we use the root._bokeh_is_initializing flag\n // to determine whether there is an ongoing attempt to initialize\n // bokeh, however for backward compatibility we also try to ensure\n // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n // before older versions are fully initialized.\n if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n // If the timeout and bokeh was not successfully loaded we reset\n // everything and try loading again\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_is_initializing = false;\n root._bokeh_onload_callbacks = undefined;\n root._bokeh_is_loading = 0\n console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n load_or_wait();\n } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n setTimeout(load_or_wait, 100);\n } else {\n root._bokeh_is_initializing = true\n root._bokeh_onload_callbacks = []\n const bokeh_loaded = root.Bokeh != null && (root.Bokeh.version === py_version || (root.Bokeh.versions !== undefined && root.Bokeh.versions.has(py_version)));\n if (!reloading && !bokeh_loaded) {\n if (root.Bokeh) {\n root.Bokeh = undefined;\n }\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n }\n load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n run_inline_js();\n });\n }\n }\n // Give older versions of the autoload script a head-start to ensure\n // they initialize before we start loading newer version.\n setTimeout(load_or_wait, 100)\n}(window));" }, "metadata": {}, "output_type": "display_data" @@ -388,7 +367,7 @@ " }\n", " return messages.next().then(processIteratorResult);\n", " }\n", - " }) \n", + " })\n", " var sendClosure = (data, metadata, buffers, disposeOnDone) => {\n", " return comm_promise.then((comm) => {\n", " comm.send(data, metadata, buffers, disposeOnDone);\n", @@ -557,31 +536,7 @@ " }\n", "}\n" ], - "application/vnd.holoviews_load.v0+json": "\nif ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n}\n\n\n function JupyterCommManager() {\n }\n\n JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n comm_manager.register_target(comm_id, function(comm) {\n comm.on_msg(msg_handler);\n });\n } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n comm.onMsg = msg_handler;\n });\n } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n google.colab.kernel.comms.registerTarget(comm_id, (comm) => {\n var messages = comm.messages[Symbol.asyncIterator]();\n function processIteratorResult(result) {\n var message = result.value;\n console.log(message)\n var content = {data: message.data, comm_id};\n var buffers = []\n for (var buffer of message.buffers || []) {\n buffers.push(new DataView(buffer))\n }\n var metadata = message.metadata || {};\n var msg = {content, buffers, metadata}\n msg_handler(msg);\n return messages.next().then(processIteratorResult);\n }\n return messages.next().then(processIteratorResult);\n })\n }\n }\n\n JupyterCommManager.prototype.get_client_comm = function(plot_id, comm_id, msg_handler) {\n if (comm_id in window.PyViz.comms) {\n return window.PyViz.comms[comm_id];\n } else if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n var comm = comm_manager.new_comm(comm_id, {}, {}, {}, comm_id);\n if (msg_handler) {\n comm.on_msg(msg_handler);\n }\n } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n var comm = window.PyViz.kernels[plot_id].connectToComm(comm_id);\n comm.open();\n if (msg_handler) {\n comm.onMsg = msg_handler;\n }\n } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n var comm_promise = google.colab.kernel.comms.open(comm_id)\n comm_promise.then((comm) => {\n window.PyViz.comms[comm_id] = comm;\n if (msg_handler) {\n var messages = comm.messages[Symbol.asyncIterator]();\n function processIteratorResult(result) {\n var message = result.value;\n var content = {data: message.data};\n var metadata = message.metadata || {comm_id};\n var msg = {content, metadata}\n msg_handler(msg);\n return messages.next().then(processIteratorResult);\n }\n return messages.next().then(processIteratorResult);\n }\n }) \n var sendClosure = (data, metadata, buffers, disposeOnDone) => {\n return comm_promise.then((comm) => {\n comm.send(data, metadata, buffers, disposeOnDone);\n });\n };\n var comm = {\n send: sendClosure\n };\n }\n window.PyViz.comms[comm_id] = comm;\n return comm;\n }\n window.PyViz.comm_manager = new JupyterCommManager();\n \n\n\nvar JS_MIME_TYPE = 'application/javascript';\nvar HTML_MIME_TYPE = 'text/html';\nvar EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';\nvar CLASS_NAME = 'output';\n\n/**\n * Render data to the DOM node\n */\nfunction render(props, node) {\n var div = document.createElement(\"div\");\n var script = document.createElement(\"script\");\n node.appendChild(div);\n node.appendChild(script);\n}\n\n/**\n * Handle when a new output is added\n */\nfunction handle_add_output(event, handle) {\n var output_area = handle.output_area;\n var output = handle.output;\n if ((output.data == undefined) || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n return\n }\n var id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n if (id !== undefined) {\n var nchildren = toinsert.length;\n var html_node = toinsert[nchildren-1].children[0];\n html_node.innerHTML = output.data[HTML_MIME_TYPE];\n var scripts = [];\n var nodelist = html_node.querySelectorAll(\"script\");\n for (var i in nodelist) {\n if (nodelist.hasOwnProperty(i)) {\n scripts.push(nodelist[i])\n }\n }\n\n scripts.forEach( function (oldScript) {\n var newScript = document.createElement(\"script\");\n var attrs = [];\n var nodemap = oldScript.attributes;\n for (var j in nodemap) {\n if (nodemap.hasOwnProperty(j)) {\n attrs.push(nodemap[j])\n }\n }\n attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n oldScript.parentNode.replaceChild(newScript, oldScript);\n });\n if (JS_MIME_TYPE in output.data) {\n toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n }\n output_area._hv_plot_id = id;\n if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n window.PyViz.plot_index[id] = Bokeh.index[id];\n } else {\n window.PyViz.plot_index[id] = null;\n }\n } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n var bk_div = document.createElement(\"div\");\n bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n var script_attrs = bk_div.children[0].attributes;\n for (var i = 0; i < script_attrs.length; i++) {\n toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n }\n // store reference to server id on output_area\n output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n }\n}\n\n/**\n * Handle when an output is cleared or removed\n */\nfunction handle_clear_output(event, handle) {\n var id = handle.cell.output_area._hv_plot_id;\n var server_id = handle.cell.output_area._bokeh_server_id;\n if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n if (server_id !== null) {\n comm.send({event_type: 'server_delete', 'id': server_id});\n return;\n } else if (comm !== null) {\n comm.send({event_type: 'delete', 'id': id});\n }\n delete PyViz.plot_index[id];\n if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n var doc = window.Bokeh.index[id].model.document\n doc.clear();\n const i = window.Bokeh.documents.indexOf(doc);\n if (i > -1) {\n window.Bokeh.documents.splice(i, 1);\n }\n }\n}\n\n/**\n * Handle kernel restart event\n */\nfunction handle_kernel_cleanup(event, handle) {\n delete PyViz.comms[\"hv-extension-comm\"];\n window.PyViz.plot_index = {}\n}\n\n/**\n * Handle update_display_data messages\n */\nfunction handle_update_output(event, handle) {\n handle_clear_output(event, {cell: {output_area: handle.output_area}})\n handle_add_output(event, handle)\n}\n\nfunction register_renderer(events, OutputArea) {\n function append_mime(data, metadata, element) {\n // create a DOM node to render to\n var toinsert = this.create_output_subarea(\n metadata,\n CLASS_NAME,\n EXEC_MIME_TYPE\n );\n this.keyboard_manager.register_events(toinsert);\n // Render to node\n var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n render(props, toinsert[0]);\n element.append(toinsert);\n return toinsert\n }\n\n events.on('output_added.OutputArea', handle_add_output);\n events.on('output_updated.OutputArea', handle_update_output);\n events.on('clear_output.CodeCell', handle_clear_output);\n events.on('delete.Cell', handle_clear_output);\n events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n\n OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n safe: true,\n index: 0\n });\n}\n\nif (window.Jupyter !== undefined) {\n try {\n var events = require('base/js/events');\n var OutputArea = require('notebook/js/outputarea').OutputArea;\n if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n register_renderer(events, OutputArea);\n }\n } catch(err) {\n }\n}\n" - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "" - ] + "application/vnd.holoviews_load.v0+json": "\nif ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n}\n\n\n function JupyterCommManager() {\n }\n\n JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n comm_manager.register_target(comm_id, function(comm) {\n comm.on_msg(msg_handler);\n });\n } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n comm.onMsg = msg_handler;\n });\n } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n google.colab.kernel.comms.registerTarget(comm_id, (comm) => {\n var messages = comm.messages[Symbol.asyncIterator]();\n function processIteratorResult(result) {\n var message = result.value;\n console.log(message)\n var content = {data: message.data, comm_id};\n var buffers = []\n for (var buffer of message.buffers || []) {\n buffers.push(new DataView(buffer))\n }\n var metadata = message.metadata || {};\n var msg = {content, buffers, metadata}\n msg_handler(msg);\n return messages.next().then(processIteratorResult);\n }\n return messages.next().then(processIteratorResult);\n })\n }\n }\n\n JupyterCommManager.prototype.get_client_comm = function(plot_id, comm_id, msg_handler) {\n if (comm_id in window.PyViz.comms) {\n return window.PyViz.comms[comm_id];\n } else if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n var comm = comm_manager.new_comm(comm_id, {}, {}, {}, comm_id);\n if (msg_handler) {\n comm.on_msg(msg_handler);\n }\n } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n var comm = window.PyViz.kernels[plot_id].connectToComm(comm_id);\n comm.open();\n if (msg_handler) {\n comm.onMsg = msg_handler;\n }\n } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n var comm_promise = google.colab.kernel.comms.open(comm_id)\n comm_promise.then((comm) => {\n window.PyViz.comms[comm_id] = comm;\n if (msg_handler) {\n var messages = comm.messages[Symbol.asyncIterator]();\n function processIteratorResult(result) {\n var message = result.value;\n var content = {data: message.data};\n var metadata = message.metadata || {comm_id};\n var msg = {content, metadata}\n msg_handler(msg);\n return messages.next().then(processIteratorResult);\n }\n return messages.next().then(processIteratorResult);\n }\n })\n var sendClosure = (data, metadata, buffers, disposeOnDone) => {\n return comm_promise.then((comm) => {\n comm.send(data, metadata, buffers, disposeOnDone);\n });\n };\n var comm = {\n send: sendClosure\n };\n }\n window.PyViz.comms[comm_id] = comm;\n return comm;\n }\n window.PyViz.comm_manager = new JupyterCommManager();\n \n\n\nvar JS_MIME_TYPE = 'application/javascript';\nvar HTML_MIME_TYPE = 'text/html';\nvar EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';\nvar CLASS_NAME = 'output';\n\n/**\n * Render data to the DOM node\n */\nfunction render(props, node) {\n var div = document.createElement(\"div\");\n var script = document.createElement(\"script\");\n node.appendChild(div);\n node.appendChild(script);\n}\n\n/**\n * Handle when a new output is added\n */\nfunction handle_add_output(event, handle) {\n var output_area = handle.output_area;\n var output = handle.output;\n if ((output.data == undefined) || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n return\n }\n var id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n if (id !== undefined) {\n var nchildren = toinsert.length;\n var html_node = toinsert[nchildren-1].children[0];\n html_node.innerHTML = output.data[HTML_MIME_TYPE];\n var scripts = [];\n var nodelist = html_node.querySelectorAll(\"script\");\n for (var i in nodelist) {\n if (nodelist.hasOwnProperty(i)) {\n scripts.push(nodelist[i])\n }\n }\n\n scripts.forEach( function (oldScript) {\n var newScript = document.createElement(\"script\");\n var attrs = [];\n var nodemap = oldScript.attributes;\n for (var j in nodemap) {\n if (nodemap.hasOwnProperty(j)) {\n attrs.push(nodemap[j])\n }\n }\n attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n oldScript.parentNode.replaceChild(newScript, oldScript);\n });\n if (JS_MIME_TYPE in output.data) {\n toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n }\n output_area._hv_plot_id = id;\n if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n window.PyViz.plot_index[id] = Bokeh.index[id];\n } else {\n window.PyViz.plot_index[id] = null;\n }\n } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n var bk_div = document.createElement(\"div\");\n bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n var script_attrs = bk_div.children[0].attributes;\n for (var i = 0; i < script_attrs.length; i++) {\n toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n }\n // store reference to server id on output_area\n output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n }\n}\n\n/**\n * Handle when an output is cleared or removed\n */\nfunction handle_clear_output(event, handle) {\n var id = handle.cell.output_area._hv_plot_id;\n var server_id = handle.cell.output_area._bokeh_server_id;\n if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n if (server_id !== null) {\n comm.send({event_type: 'server_delete', 'id': server_id});\n return;\n } else if (comm !== null) {\n comm.send({event_type: 'delete', 'id': id});\n }\n delete PyViz.plot_index[id];\n if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n var doc = window.Bokeh.index[id].model.document\n doc.clear();\n const i = window.Bokeh.documents.indexOf(doc);\n if (i > -1) {\n window.Bokeh.documents.splice(i, 1);\n }\n }\n}\n\n/**\n * Handle kernel restart event\n */\nfunction handle_kernel_cleanup(event, handle) {\n delete PyViz.comms[\"hv-extension-comm\"];\n window.PyViz.plot_index = {}\n}\n\n/**\n * Handle update_display_data messages\n */\nfunction handle_update_output(event, handle) {\n handle_clear_output(event, {cell: {output_area: handle.output_area}})\n handle_add_output(event, handle)\n}\n\nfunction register_renderer(events, OutputArea) {\n function append_mime(data, metadata, element) {\n // create a DOM node to render to\n var toinsert = this.create_output_subarea(\n metadata,\n CLASS_NAME,\n EXEC_MIME_TYPE\n );\n this.keyboard_manager.register_events(toinsert);\n // Render to node\n var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n render(props, toinsert[0]);\n element.append(toinsert);\n return toinsert\n }\n\n events.on('output_added.OutputArea', handle_add_output);\n events.on('output_updated.OutputArea', handle_update_output);\n events.on('clear_output.CodeCell', handle_clear_output);\n events.on('delete.Cell', handle_clear_output);\n events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n\n OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n safe: true,\n index: 0\n });\n}\n\nif (window.Jupyter !== undefined) {\n try {\n var events = require('base/js/events');\n var OutputArea = require('notebook/js/outputarea').OutputArea;\n if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n register_renderer(events, OutputArea);\n }\n } catch(err) {\n }\n}\n" }, "metadata": {}, "output_type": "display_data" @@ -590,26 +545,31 @@ "data": { "application/vnd.holoviews_exec.v0+json": "", "text/html": [ - "
\n", - "
\n", + "
\n", + "
\n", "
\n", "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, { "data": { "application/javascript": [ @@ -672,12 +656,13 @@ " return new Date();\n", " }\n", "\n", - " var force = true;\n", - " var py_version = '3.3.2'.replace('rc', '-rc.').replace('.dev', '-dev.');\n", - " var reloading = true;\n", - " var Bokeh = root.Bokeh;\n", + " const force = false;\n", + " const py_version = '3.7.3'.replace('rc', '-rc.').replace('.dev', '-dev.');\n", + " const reloading = true;\n", + " const Bokeh = root.Bokeh;\n", "\n", - " if (typeof (root._bokeh_timeout) === \"undefined\" || force) {\n", + " // Set a timeout for this load but only if we are not already initializing\n", + " if (typeof (root._bokeh_timeout) === \"undefined\" || (force || !root._bokeh_is_initializing)) {\n", " root._bokeh_timeout = Date.now() + 5000;\n", " root._bokeh_failed_load = false;\n", " }\n", @@ -703,16 +688,14 @@ " root._bokeh_onload_callbacks.push(callback);\n", "\n", " if (root._bokeh_is_loading > 0) {\n", + " // Don't load bokeh if it is still initializing\n", " console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n", " return null;\n", - " }\n", - " if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n", + " } else if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n", + " // There is nothing to load\n", " run_callbacks();\n", " return null;\n", " }\n", - " if (!reloading) {\n", - " console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n", - " }\n", "\n", " function on_load() {\n", " root._bokeh_is_loading--;\n", @@ -723,60 +706,33 @@ " }\n", " window._bokeh_on_load = on_load\n", "\n", - " function on_error() {\n", - " console.error(\"failed to load \" + url);\n", + " function on_error(e) {\n", + " const src_el = e.srcElement\n", + " console.error(\"failed to load \" + (src_el.href || src_el.src));\n", " }\n", "\n", - " var skip = [];\n", + " const skip = [];\n", " if (window.requirejs) {\n", - " window.requirejs.config({'packages': {}, 'paths': {'jspanel': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/jspanel', 'jspanel-modal': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal', 'jspanel-tooltip': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip', 'jspanel-hint': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint', 'jspanel-layout': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout', 'jspanel-contextmenu': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu', 'jspanel-dock': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock', 'gridstack': 'https://cdn.jsdelivr.net/npm/gridstack@7.2.3/dist/gridstack-all', 'notyf': 'https://cdn.jsdelivr.net/npm/notyf@3/notyf.min'}, 'shim': {'jspanel': {'exports': 'jsPanel'}, 'gridstack': {'exports': 'GridStack'}}});\n", - " require([\"jspanel\"], function(jsPanel) {\n", - "\twindow.jsPanel = jsPanel\n", - "\ton_load()\n", - " })\n", - " require([\"jspanel-modal\"], function() {\n", - "\ton_load()\n", - " })\n", - " require([\"jspanel-tooltip\"], function() {\n", - "\ton_load()\n", - " })\n", - " require([\"jspanel-hint\"], function() {\n", - "\ton_load()\n", - " })\n", - " require([\"jspanel-layout\"], function() {\n", - "\ton_load()\n", - " })\n", - " require([\"jspanel-contextmenu\"], function() {\n", - "\ton_load()\n", - " })\n", - " require([\"jspanel-dock\"], function() {\n", - "\ton_load()\n", - " })\n", - " require([\"gridstack\"], function(GridStack) {\n", - "\twindow.GridStack = GridStack\n", - "\ton_load()\n", - " })\n", - " require([\"notyf\"], function() {\n", - "\ton_load()\n", - " })\n", - " root._bokeh_is_loading = css_urls.length + 9;\n", + " window.requirejs.config({'packages': {}, 'paths': {}, 'shim': {}});\n", + " root._bokeh_is_loading = css_urls.length + 0;\n", " } else {\n", " root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n", " }\n", "\n", - " var existing_stylesheets = []\n", - " var links = document.getElementsByTagName('link')\n", - " for (var i = 0; i < links.length; i++) {\n", - " var link = links[i]\n", + " const existing_stylesheets = []\n", + " const links = document.getElementsByTagName('link')\n", + " for (let i = 0; i < links.length; i++) {\n", + " const link = links[i]\n", " if (link.href != null) {\n", - "\texisting_stylesheets.push(link.href)\n", + " existing_stylesheets.push(link.href)\n", " }\n", " }\n", - " for (var i = 0; i < css_urls.length; i++) {\n", - " var url = css_urls[i];\n", - " if (existing_stylesheets.indexOf(url) !== -1) {\n", - "\ton_load()\n", - "\tcontinue;\n", + " for (let i = 0; i < css_urls.length; i++) {\n", + " const url = css_urls[i];\n", + " const escaped = encodeURI(url)\n", + " if (existing_stylesheets.indexOf(escaped) !== -1) {\n", + " on_load()\n", + " continue;\n", " }\n", " const element = document.createElement(\"link\");\n", " element.onload = on_load;\n", @@ -786,38 +742,24 @@ " element.href = url;\n", " console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n", " document.body.appendChild(element);\n", - " } if (((window['jsPanel'] !== undefined) && (!(window['jsPanel'] instanceof HTMLElement))) || window.requirejs) {\n", - " var urls = ['https://cdn.holoviz.org/panel/1.3.6/dist/bundled/floatpanel/jspanel4@4.12.0/dist/jspanel.js', 'https://cdn.holoviz.org/panel/1.3.6/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal.js', 'https://cdn.holoviz.org/panel/1.3.6/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip.js', 'https://cdn.holoviz.org/panel/1.3.6/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint.js', 'https://cdn.holoviz.org/panel/1.3.6/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout.js', 'https://cdn.holoviz.org/panel/1.3.6/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu.js', 'https://cdn.holoviz.org/panel/1.3.6/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock.js'];\n", - " for (var i = 0; i < urls.length; i++) {\n", - " skip.push(urls[i])\n", - " }\n", - " } if (((window['GridStack'] !== undefined) && (!(window['GridStack'] instanceof HTMLElement))) || window.requirejs) {\n", - " var urls = ['https://cdn.holoviz.org/panel/1.3.6/dist/bundled/gridstack/gridstack@7.2.3/dist/gridstack-all.js'];\n", - " for (var i = 0; i < urls.length; i++) {\n", - " skip.push(urls[i])\n", - " }\n", - " } if (((window['Notyf'] !== undefined) && (!(window['Notyf'] instanceof HTMLElement))) || window.requirejs) {\n", - " var urls = ['https://cdn.holoviz.org/panel/1.3.6/dist/bundled/notificationarea/notyf@3/notyf.min.js'];\n", - " for (var i = 0; i < urls.length; i++) {\n", - " skip.push(urls[i])\n", - " }\n", " } var existing_scripts = []\n", - " var scripts = document.getElementsByTagName('script')\n", - " for (var i = 0; i < scripts.length; i++) {\n", + " const scripts = document.getElementsByTagName('script')\n", + " for (let i = 0; i < scripts.length; i++) {\n", " var script = scripts[i]\n", " if (script.src != null) {\n", - "\texisting_scripts.push(script.src)\n", + " existing_scripts.push(script.src)\n", " }\n", " }\n", - " for (var i = 0; i < js_urls.length; i++) {\n", - " var url = js_urls[i];\n", - " if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n", - "\tif (!window.requirejs) {\n", - "\t on_load();\n", - "\t}\n", - "\tcontinue;\n", + " for (let i = 0; i < js_urls.length; i++) {\n", + " const url = js_urls[i];\n", + " const escaped = encodeURI(url)\n", + " if (skip.indexOf(escaped) !== -1 || existing_scripts.indexOf(escaped) !== -1) {\n", + " if (!window.requirejs) {\n", + " on_load();\n", + " }\n", + " continue;\n", " }\n", - " var element = document.createElement('script');\n", + " const element = document.createElement('script');\n", " element.onload = on_load;\n", " element.onerror = on_error;\n", " element.async = false;\n", @@ -825,13 +767,14 @@ " console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n", " document.head.appendChild(element);\n", " }\n", - " for (var i = 0; i < js_modules.length; i++) {\n", - " var url = js_modules[i];\n", - " if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n", - "\tif (!window.requirejs) {\n", - "\t on_load();\n", - "\t}\n", - "\tcontinue;\n", + " for (let i = 0; i < js_modules.length; i++) {\n", + " const url = js_modules[i];\n", + " const escaped = encodeURI(url)\n", + " if (skip.indexOf(escaped) !== -1 || existing_scripts.indexOf(escaped) !== -1) {\n", + " if (!window.requirejs) {\n", + " on_load();\n", + " }\n", + " continue;\n", " }\n", " var element = document.createElement('script');\n", " element.onload = on_load;\n", @@ -843,12 +786,13 @@ " document.head.appendChild(element);\n", " }\n", " for (const name in js_exports) {\n", - " var url = js_exports[name];\n", - " if (skip.indexOf(url) >= 0 || root[name] != null) {\n", - "\tif (!window.requirejs) {\n", - "\t on_load();\n", - "\t}\n", - "\tcontinue;\n", + " const url = js_exports[name];\n", + " const escaped = encodeURI(url)\n", + " if (skip.indexOf(escaped) >= 0 || root[name] != null) {\n", + " if (!window.requirejs) {\n", + " on_load();\n", + " }\n", + " continue;\n", " }\n", " var element = document.createElement('script');\n", " element.onerror = on_error;\n", @@ -873,11 +817,11 @@ " document.body.appendChild(element);\n", " }\n", "\n", - " var js_urls = [];\n", - " var js_modules = [];\n", - " var js_exports = {};\n", - " var css_urls = [];\n", - " var inline_js = [ function(Bokeh) {\n", + " const js_urls = [\"https://cdn.holoviz.org/panel/1.7.1/dist/bundled/reactiveesm/es-module-shims@^1.10.0/dist/es-module-shims.min.js\"];\n", + " const js_modules = [];\n", + " const js_exports = {};\n", + " const css_urls = [];\n", + " const inline_js = [ function(Bokeh) {\n", " Bokeh.set_log_level(\"info\");\n", " },\n", "function(Bokeh) {} // ensure no trailing comma for IE\n", @@ -885,26 +829,27 @@ "\n", " function run_inline_js() {\n", " if ((root.Bokeh !== undefined) || (force === true)) {\n", - " for (var i = 0; i < inline_js.length; i++) {\n", - "\ttry {\n", + " for (let i = 0; i < inline_js.length; i++) {\n", + " try {\n", " inline_js[i].call(root, root.Bokeh);\n", - "\t} catch(e) {\n", - "\t if (!reloading) {\n", - "\t throw e;\n", - "\t }\n", - "\t}\n", + " } catch(e) {\n", + " if (!reloading) {\n", + " throw e;\n", + " }\n", + " }\n", " }\n", " // Cache old bokeh versions\n", " if (Bokeh != undefined && !reloading) {\n", - "\tvar NewBokeh = root.Bokeh;\n", - "\tif (Bokeh.versions === undefined) {\n", - "\t Bokeh.versions = new Map();\n", - "\t}\n", - "\tif (NewBokeh.version !== Bokeh.version) {\n", - "\t Bokeh.versions.set(NewBokeh.version, NewBokeh)\n", - "\t}\n", - "\troot.Bokeh = Bokeh;\n", - " }} else if (Date.now() < root._bokeh_timeout) {\n", + " var NewBokeh = root.Bokeh;\n", + " if (Bokeh.versions === undefined) {\n", + " Bokeh.versions = new Map();\n", + " }\n", + " if (NewBokeh.version !== Bokeh.version) {\n", + " Bokeh.versions.set(NewBokeh.version, NewBokeh)\n", + " }\n", + " root.Bokeh = Bokeh;\n", + " }\n", + " } else if (Date.now() < root._bokeh_timeout) {\n", " setTimeout(run_inline_js, 100);\n", " } else if (!root._bokeh_failed_load) {\n", " console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n", @@ -922,8 +867,12 @@ " // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n", " // before older versions are fully initialized.\n", " if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n", + " // If the timeout and bokeh was not successfully loaded we reset\n", + " // everything and try loading again\n", + " root._bokeh_timeout = Date.now() + 5000;\n", " root._bokeh_is_initializing = false;\n", " root._bokeh_onload_callbacks = undefined;\n", + " root._bokeh_is_loading = 0\n", " console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n", " load_or_wait();\n", " } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n", @@ -931,13 +880,16 @@ " } else {\n", " root._bokeh_is_initializing = true\n", " root._bokeh_onload_callbacks = []\n", - " var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n", + " const bokeh_loaded = root.Bokeh != null && (root.Bokeh.version === py_version || (root.Bokeh.versions !== undefined && root.Bokeh.versions.has(py_version)));\n", " if (!reloading && !bokeh_loaded) {\n", - "\troot.Bokeh = undefined;\n", + " if (root.Bokeh) {\n", + " root.Bokeh = undefined;\n", + " }\n", + " console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n", " }\n", " load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n", - "\tconsole.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n", - "\trun_inline_js();\n", + " console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n", + " run_inline_js();\n", " });\n", " }\n", " }\n", @@ -946,7 +898,7 @@ " setTimeout(load_or_wait, 100)\n", "}(window));" ], - "application/vnd.holoviews_load.v0+json": "(function(root) {\n function now() {\n return new Date();\n }\n\n var force = true;\n var py_version = '3.3.2'.replace('rc', '-rc.').replace('.dev', '-dev.');\n var reloading = true;\n var Bokeh = root.Bokeh;\n\n if (typeof (root._bokeh_timeout) === \"undefined\" || force) {\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_failed_load = false;\n }\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) {\n if (callback != null)\n callback();\n });\n } finally {\n delete root._bokeh_onload_callbacks;\n }\n console.debug(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(css_urls, js_urls, js_modules, js_exports, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n if (js_modules == null) js_modules = [];\n if (js_exports == null) js_exports = {};\n\n root._bokeh_onload_callbacks.push(callback);\n\n if (root._bokeh_is_loading > 0) {\n console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n }\n if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n run_callbacks();\n return null;\n }\n if (!reloading) {\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n }\n\n function on_load() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n run_callbacks()\n }\n }\n window._bokeh_on_load = on_load\n\n function on_error() {\n console.error(\"failed to load \" + url);\n }\n\n var skip = [];\n if (window.requirejs) {\n window.requirejs.config({'packages': {}, 'paths': {'jspanel': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/jspanel', 'jspanel-modal': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal', 'jspanel-tooltip': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip', 'jspanel-hint': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint', 'jspanel-layout': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout', 'jspanel-contextmenu': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu', 'jspanel-dock': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock', 'gridstack': 'https://cdn.jsdelivr.net/npm/gridstack@7.2.3/dist/gridstack-all', 'notyf': 'https://cdn.jsdelivr.net/npm/notyf@3/notyf.min'}, 'shim': {'jspanel': {'exports': 'jsPanel'}, 'gridstack': {'exports': 'GridStack'}}});\n require([\"jspanel\"], function(jsPanel) {\n\twindow.jsPanel = jsPanel\n\ton_load()\n })\n require([\"jspanel-modal\"], function() {\n\ton_load()\n })\n require([\"jspanel-tooltip\"], function() {\n\ton_load()\n })\n require([\"jspanel-hint\"], function() {\n\ton_load()\n })\n require([\"jspanel-layout\"], function() {\n\ton_load()\n })\n require([\"jspanel-contextmenu\"], function() {\n\ton_load()\n })\n require([\"jspanel-dock\"], function() {\n\ton_load()\n })\n require([\"gridstack\"], function(GridStack) {\n\twindow.GridStack = GridStack\n\ton_load()\n })\n require([\"notyf\"], function() {\n\ton_load()\n })\n root._bokeh_is_loading = css_urls.length + 9;\n } else {\n root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n }\n\n var existing_stylesheets = []\n var links = document.getElementsByTagName('link')\n for (var i = 0; i < links.length; i++) {\n var link = links[i]\n if (link.href != null) {\n\texisting_stylesheets.push(link.href)\n }\n }\n for (var i = 0; i < css_urls.length; i++) {\n var url = css_urls[i];\n if (existing_stylesheets.indexOf(url) !== -1) {\n\ton_load()\n\tcontinue;\n }\n const element = document.createElement(\"link\");\n element.onload = on_load;\n element.onerror = on_error;\n element.rel = \"stylesheet\";\n element.type = \"text/css\";\n element.href = url;\n console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n document.body.appendChild(element);\n } if (((window['jsPanel'] !== undefined) && (!(window['jsPanel'] instanceof HTMLElement))) || window.requirejs) {\n var urls = ['https://cdn.holoviz.org/panel/1.3.6/dist/bundled/floatpanel/jspanel4@4.12.0/dist/jspanel.js', 'https://cdn.holoviz.org/panel/1.3.6/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal.js', 'https://cdn.holoviz.org/panel/1.3.6/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip.js', 'https://cdn.holoviz.org/panel/1.3.6/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint.js', 'https://cdn.holoviz.org/panel/1.3.6/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout.js', 'https://cdn.holoviz.org/panel/1.3.6/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu.js', 'https://cdn.holoviz.org/panel/1.3.6/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock.js'];\n for (var i = 0; i < urls.length; i++) {\n skip.push(urls[i])\n }\n } if (((window['GridStack'] !== undefined) && (!(window['GridStack'] instanceof HTMLElement))) || window.requirejs) {\n var urls = ['https://cdn.holoviz.org/panel/1.3.6/dist/bundled/gridstack/gridstack@7.2.3/dist/gridstack-all.js'];\n for (var i = 0; i < urls.length; i++) {\n skip.push(urls[i])\n }\n } if (((window['Notyf'] !== undefined) && (!(window['Notyf'] instanceof HTMLElement))) || window.requirejs) {\n var urls = ['https://cdn.holoviz.org/panel/1.3.6/dist/bundled/notificationarea/notyf@3/notyf.min.js'];\n for (var i = 0; i < urls.length; i++) {\n skip.push(urls[i])\n }\n } var existing_scripts = []\n var scripts = document.getElementsByTagName('script')\n for (var i = 0; i < scripts.length; i++) {\n var script = scripts[i]\n if (script.src != null) {\n\texisting_scripts.push(script.src)\n }\n }\n for (var i = 0; i < js_urls.length; i++) {\n var url = js_urls[i];\n if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t on_load();\n\t}\n\tcontinue;\n }\n var element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error;\n element.async = false;\n element.src = url;\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n for (var i = 0; i < js_modules.length; i++) {\n var url = js_modules[i];\n if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t on_load();\n\t}\n\tcontinue;\n }\n var element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error;\n element.async = false;\n element.src = url;\n element.type = \"module\";\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n for (const name in js_exports) {\n var url = js_exports[name];\n if (skip.indexOf(url) >= 0 || root[name] != null) {\n\tif (!window.requirejs) {\n\t on_load();\n\t}\n\tcontinue;\n }\n var element = document.createElement('script');\n element.onerror = on_error;\n element.async = false;\n element.type = \"module\";\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n element.textContent = `\n import ${name} from \"${url}\"\n window.${name} = ${name}\n window._bokeh_on_load()\n `\n document.head.appendChild(element);\n }\n if (!js_urls.length && !js_modules.length) {\n on_load()\n }\n };\n\n function inject_raw_css(css) {\n const element = document.createElement(\"style\");\n element.appendChild(document.createTextNode(css));\n document.body.appendChild(element);\n }\n\n var js_urls = [];\n var js_modules = [];\n var js_exports = {};\n var css_urls = [];\n var inline_js = [ function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\nfunction(Bokeh) {} // ensure no trailing comma for IE\n ];\n\n function run_inline_js() {\n if ((root.Bokeh !== undefined) || (force === true)) {\n for (var i = 0; i < inline_js.length; i++) {\n\ttry {\n inline_js[i].call(root, root.Bokeh);\n\t} catch(e) {\n\t if (!reloading) {\n\t throw e;\n\t }\n\t}\n }\n // Cache old bokeh versions\n if (Bokeh != undefined && !reloading) {\n\tvar NewBokeh = root.Bokeh;\n\tif (Bokeh.versions === undefined) {\n\t Bokeh.versions = new Map();\n\t}\n\tif (NewBokeh.version !== Bokeh.version) {\n\t Bokeh.versions.set(NewBokeh.version, NewBokeh)\n\t}\n\troot.Bokeh = Bokeh;\n }} else if (Date.now() < root._bokeh_timeout) {\n setTimeout(run_inline_js, 100);\n } else if (!root._bokeh_failed_load) {\n console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n root._bokeh_failed_load = true;\n }\n root._bokeh_is_initializing = false\n }\n\n function load_or_wait() {\n // Implement a backoff loop that tries to ensure we do not load multiple\n // versions of Bokeh and its dependencies at the same time.\n // In recent versions we use the root._bokeh_is_initializing flag\n // to determine whether there is an ongoing attempt to initialize\n // bokeh, however for backward 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console.debug(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(css_urls, js_urls, js_modules, js_exports, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n if (js_modules == null) js_modules = [];\n if (js_exports == null) js_exports = {};\n\n root._bokeh_onload_callbacks.push(callback);\n\n if (root._bokeh_is_loading > 0) {\n // Don't load bokeh if it is still initializing\n console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n } else if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n // There is nothing to load\n run_callbacks();\n return null;\n }\n\n function on_load() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n run_callbacks()\n }\n }\n window._bokeh_on_load = on_load\n\n function on_error(e) {\n const src_el = e.srcElement\n console.error(\"failed to load \" + (src_el.href || src_el.src));\n }\n\n const skip = [];\n if (window.requirejs) {\n window.requirejs.config({'packages': {}, 'paths': {}, 'shim': {}});\n root._bokeh_is_loading = css_urls.length + 0;\n } else {\n root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n }\n\n const existing_stylesheets = []\n const links = document.getElementsByTagName('link')\n for (let i = 0; i < links.length; i++) {\n const link = links[i]\n if (link.href != null) {\n existing_stylesheets.push(link.href)\n }\n }\n for (let i = 0; i < css_urls.length; i++) {\n const url = css_urls[i];\n const escaped = encodeURI(url)\n if (existing_stylesheets.indexOf(escaped) !== -1) {\n on_load()\n continue;\n }\n const element = document.createElement(\"link\");\n element.onload = on_load;\n element.onerror = on_error;\n element.rel = \"stylesheet\";\n element.type = \"text/css\";\n element.href = url;\n console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n document.body.appendChild(element);\n } var existing_scripts = []\n const scripts = document.getElementsByTagName('script')\n for (let i = 0; i < scripts.length; i++) {\n var script = scripts[i]\n if (script.src != null) {\n existing_scripts.push(script.src)\n }\n }\n for (let i = 0; i < js_urls.length; i++) {\n const url = js_urls[i];\n const escaped = encodeURI(url)\n if (skip.indexOf(escaped) !== -1 || existing_scripts.indexOf(escaped) !== -1) {\n if (!window.requirejs) {\n on_load();\n }\n continue;\n }\n const element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error;\n element.async = false;\n element.src = url;\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n for (let i = 0; i < js_modules.length; i++) {\n const url = js_modules[i];\n const escaped = encodeURI(url)\n if (skip.indexOf(escaped) !== -1 || existing_scripts.indexOf(escaped) !== -1) {\n if (!window.requirejs) {\n on_load();\n }\n continue;\n }\n var element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error;\n element.async = false;\n element.src = url;\n element.type = \"module\";\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n for (const name in js_exports) {\n const url = js_exports[name];\n const escaped = encodeURI(url)\n if (skip.indexOf(escaped) >= 0 || root[name] != null) {\n if (!window.requirejs) {\n on_load();\n }\n continue;\n }\n var element = document.createElement('script');\n element.onerror = on_error;\n element.async = false;\n element.type = \"module\";\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n element.textContent = `\n import ${name} from \"${url}\"\n window.${name} = ${name}\n window._bokeh_on_load()\n `\n document.head.appendChild(element);\n }\n if (!js_urls.length && !js_modules.length) {\n on_load()\n }\n };\n\n function inject_raw_css(css) {\n const element = document.createElement(\"style\");\n element.appendChild(document.createTextNode(css));\n document.body.appendChild(element);\n }\n\n const js_urls = [\"https://cdn.holoviz.org/panel/1.7.1/dist/bundled/reactiveesm/es-module-shims@^1.10.0/dist/es-module-shims.min.js\"];\n const js_modules = [];\n const js_exports = {};\n const css_urls = [];\n const inline_js = [ function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\nfunction(Bokeh) {} // ensure no trailing comma for IE\n ];\n\n function run_inline_js() {\n if ((root.Bokeh !== undefined) || (force === true)) {\n for (let i = 0; i < inline_js.length; i++) {\n try {\n inline_js[i].call(root, root.Bokeh);\n } catch(e) {\n if (!reloading) {\n throw e;\n }\n }\n }\n // Cache old bokeh versions\n if (Bokeh != undefined && !reloading) {\n var NewBokeh = root.Bokeh;\n if (Bokeh.versions === undefined) {\n Bokeh.versions = new Map();\n }\n if (NewBokeh.version !== Bokeh.version) {\n Bokeh.versions.set(NewBokeh.version, NewBokeh)\n }\n root.Bokeh = Bokeh;\n }\n } else if (Date.now() < root._bokeh_timeout) {\n setTimeout(run_inline_js, 100);\n } else if (!root._bokeh_failed_load) {\n console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n root._bokeh_failed_load = true;\n }\n root._bokeh_is_initializing = false\n }\n\n function load_or_wait() {\n // Implement a backoff loop that tries to ensure we do not load multiple\n // versions of Bokeh and its dependencies at the same time.\n // In recent versions we use the root._bokeh_is_initializing flag\n // to determine whether there is an ongoing attempt to initialize\n // bokeh, however for backward compatibility we also try to ensure\n // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n // before older versions are fully initialized.\n if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n // If the timeout and bokeh was not successfully loaded we reset\n // everything and try loading again\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_is_initializing = false;\n root._bokeh_onload_callbacks = undefined;\n root._bokeh_is_loading = 0\n console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n load_or_wait();\n } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n setTimeout(load_or_wait, 100);\n } else {\n root._bokeh_is_initializing = true\n root._bokeh_onload_callbacks = []\n const bokeh_loaded = root.Bokeh != null && (root.Bokeh.version === py_version || (root.Bokeh.versions !== undefined && root.Bokeh.versions.has(py_version)));\n if (!reloading && !bokeh_loaded) {\n if (root.Bokeh) {\n root.Bokeh = undefined;\n }\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n }\n load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n run_inline_js();\n });\n }\n }\n // Give older versions of the autoload script a head-start to ensure\n // they initialize before we start loading newer version.\n setTimeout(load_or_wait, 100)\n}(window));" }, "metadata": {}, "output_type": "display_data" @@ -1025,7 +977,7 @@ " }\n", " return messages.next().then(processIteratorResult);\n", " }\n", - " }) \n", + " })\n", " var sendClosure = (data, metadata, buffers, disposeOnDone) => {\n", " return comm_promise.then((comm) => {\n", " comm.send(data, metadata, buffers, disposeOnDone);\n", @@ -1194,31 +1146,7 @@ " }\n", "}\n" ], - "application/vnd.holoviews_load.v0+json": "\nif ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n}\n\n\n function JupyterCommManager() {\n }\n\n JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n comm_manager.register_target(comm_id, function(comm) {\n comm.on_msg(msg_handler);\n });\n } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n comm.onMsg = msg_handler;\n });\n } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n google.colab.kernel.comms.registerTarget(comm_id, (comm) => {\n var messages = comm.messages[Symbol.asyncIterator]();\n function processIteratorResult(result) {\n var message = result.value;\n console.log(message)\n var content = {data: message.data, comm_id};\n var buffers = []\n for (var buffer of message.buffers || []) {\n 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if (nodelist.hasOwnProperty(i)) {\n scripts.push(nodelist[i])\n }\n }\n\n scripts.forEach( function (oldScript) {\n var newScript = document.createElement(\"script\");\n var attrs = [];\n var nodemap = oldScript.attributes;\n for (var j in nodemap) {\n if (nodemap.hasOwnProperty(j)) {\n attrs.push(nodemap[j])\n }\n }\n attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n oldScript.parentNode.replaceChild(newScript, oldScript);\n });\n if (JS_MIME_TYPE in output.data) {\n toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n }\n output_area._hv_plot_id = id;\n if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n window.PyViz.plot_index[id] = Bokeh.index[id];\n } else {\n window.PyViz.plot_index[id] = null;\n }\n } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n var bk_div = document.createElement(\"div\");\n bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n var script_attrs = bk_div.children[0].attributes;\n for (var i = 0; i < script_attrs.length; i++) {\n toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n }\n // store reference to server id on output_area\n output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n }\n}\n\n/**\n * Handle when an output is cleared or removed\n */\nfunction handle_clear_output(event, handle) {\n var id = handle.cell.output_area._hv_plot_id;\n var server_id = handle.cell.output_area._bokeh_server_id;\n if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n if (server_id !== null) {\n comm.send({event_type: 'server_delete', 'id': server_id});\n return;\n } else if (comm !== null) {\n comm.send({event_type: 'delete', 'id': id});\n }\n delete PyViz.plot_index[id];\n if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n var doc = window.Bokeh.index[id].model.document\n doc.clear();\n const i = window.Bokeh.documents.indexOf(doc);\n if (i > -1) {\n window.Bokeh.documents.splice(i, 1);\n }\n }\n}\n\n/**\n * Handle kernel restart event\n */\nfunction handle_kernel_cleanup(event, handle) {\n delete PyViz.comms[\"hv-extension-comm\"];\n window.PyViz.plot_index = {}\n}\n\n/**\n * Handle update_display_data messages\n */\nfunction handle_update_output(event, handle) {\n handle_clear_output(event, {cell: {output_area: handle.output_area}})\n handle_add_output(event, handle)\n}\n\nfunction register_renderer(events, OutputArea) {\n function append_mime(data, metadata, element) {\n // create a DOM node to render to\n var toinsert = this.create_output_subarea(\n metadata,\n CLASS_NAME,\n EXEC_MIME_TYPE\n );\n this.keyboard_manager.register_events(toinsert);\n // Render to node\n var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n render(props, toinsert[0]);\n element.append(toinsert);\n return toinsert\n }\n\n events.on('output_added.OutputArea', handle_add_output);\n events.on('output_updated.OutputArea', handle_update_output);\n events.on('clear_output.CodeCell', handle_clear_output);\n events.on('delete.Cell', handle_clear_output);\n events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n\n OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n safe: true,\n index: 0\n });\n}\n\nif (window.Jupyter !== undefined) {\n try {\n var events = require('base/js/events');\n var OutputArea = require('notebook/js/outputarea').OutputArea;\n if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n register_renderer(events, OutputArea);\n }\n } catch(err) {\n }\n}\n" - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "" - ] + "application/vnd.holoviews_load.v0+json": "\nif ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n}\n\n\n function JupyterCommManager() {\n }\n\n JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n comm_manager.register_target(comm_id, function(comm) {\n comm.on_msg(msg_handler);\n });\n } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n comm.onMsg = msg_handler;\n });\n } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n google.colab.kernel.comms.registerTarget(comm_id, (comm) => {\n var messages = comm.messages[Symbol.asyncIterator]();\n function processIteratorResult(result) {\n var message = 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"display_data" @@ -1287,8 +1215,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "CPU times: user 78.4 ms, sys: 23.4 ms, total: 102 ms\n", - "Wall time: 91.6 ms\n" + "CPU times: user 108 ms, sys: 33.6 ms, total: 142 ms\n", + "Wall time: 127 ms\n" ] }, { @@ -1553,11 +1481,7 @@ "stoqs_url += \"&measurement__instantpoint__timevalue__lt=2022-07-21+10:00:00\"\n", "stoqs_url += \"&collect=name&include=activity__name\"\n", "\n", - "# Takes a minute or so to retrieve the data the first time, thereafter it's read from a local cache\n", - "data_file = pooch.retrieve(\n", - " url=stoqs_url,\n", - " known_hash=\"9b414f8e5cb730a3bae683aa64ef1477c19ff549f5370ede2c7cf0a0450d0bbe\",\n", - ")\n", + "data_file = pooch.retrieve(url=stoqs_url, known_hash=None)\n", "df = pd.read_parquet(data_file)\n", "df.describe()" ] @@ -1803,6 +1727,13 @@ "biplot(df, \"pontus\", \"dorado\", \"chlorophyll (ug/l)\", \"hs2_fl700\")" ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, { "cell_type": "code", "execution_count": null, @@ -1827,7 +1758,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.14" + "version": "3.12.10" }, "vscode": { "interpreter": { From c8c2fc34a6b0cc0de79a0318ef9a83e1c110f453 Mon Sep 17 00:00:00 2001 From: Mike McCann Date: Thu, 12 Jun 2025 11:10:40 -0700 Subject: [PATCH 65/66] Update for python3.12 and add "bbp" plots. --- notebooks/6.2-mpm-hs2-values-over-time.ipynb | 83 ++++++++++++++------ 1 file changed, 61 insertions(+), 22 deletions(-) diff --git a/notebooks/6.2-mpm-hs2-values-over-time.ipynb b/notebooks/6.2-mpm-hs2-values-over-time.ipynb index deb9cfec..7ab5c2e7 100644 --- a/notebooks/6.2-mpm-hs2-values-over-time.ipynb +++ b/notebooks/6.2-mpm-hs2-values-over-time.ipynb @@ -7,20 +7,7 @@ "source": [ "#### Explore Values of HS2 Backscatter Data Over Time\n", "\n", - "This Notebook is part of the auv-python project (private repository at https://github.com/mbari-org/auv-python).\n", - "\n", - "To execute it (for example):\n", - "\n", - "```bash\n", - " cd GitHub # Or other appropriate directory on your computer\n", - " git clone https://github.com/mbari-org/auv-python.git\n", - " cd auv-python\n", - " poetry install\n", - " poetry shell\n", - " cd notebooks\n", - " jupyter lab\n", - " # Open this notebook and run it from your browser\n", - "```\n" + "This Notebook is part of the auv-python project (https://github.com/mbari-org/auv-python)." ] }, { @@ -59,7 +46,7 @@ "outputs": [ { "data": { - "image/png": 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", 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" ] @@ -71,7 +58,6 @@ "source": [ "import pandas as pd\n", "\n", - "# Read statistics of \"hs2_bb700 (m-1)\" from stoqs_all_dorado and plot percentiles\n", "url = \"https://stoqs.shore.mbari.org/stoqs_all_dorado/api/activityparameter.csv?\"\n", "url += \"activity__platform__name=dorado¶meter__name=hs2_bb420%20(m-1)\"\n", "df = pd.read_csv(url)\n", @@ -86,7 +72,7 @@ "outputs": [ { "data": { - "image/png": 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", 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" ] @@ -96,20 +82,73 @@ } ], "source": [ - "import pandas as pd\n", - "\n", - "# Read statistics of \"hs2_bb700 (m-1)\" from stoqs\n", "url = \"https://stoqs.shore.mbari.org/stoqs_all_dorado/api/activityparameter.csv?\"\n", "url += \"activity__platform__name=dorado¶meter__name=hs2_bb700%20(m-1)\"\n", "df = pd.read_csv(url)\n", "plot_percentiles(df, 'hs2_bb700 (m-1)')" ] }, + { + "cell_type": "markdown", + "id": "e071b175-6484-417f-a582-ed636c0c7302", + "metadata": {}, + "source": [ + "As of around 2024 the \"bb\" variables to properly calculated and named \"bbp\". See https://github.com/mbari-org/auv-python/issues/3. The entire archive will be reprocessed and reloaded into STOQS during the summer of 2025. These plots can document that process.\n" + ] + }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "id": "5cb507d1", "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "url = \"https://stoqs.shore.mbari.org/stoqs_all_dorado/api/activityparameter.csv?\"\n", + "url += \"activity__platform__name=dorado¶meter__name=hs2_bbp420%20(m-1)\"\n", + "df = pd.read_csv(url)\n", + "plot_percentiles(df, 'hs2_bbp420 (m-1)')" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "24aa4782-7582-4c61-8a48-4aa7186e3967", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "url = \"https://stoqs.shore.mbari.org/stoqs_all_dorado/api/activityparameter.csv?\"\n", + "url += \"activity__platform__name=dorado¶meter__name=hs2_bbp700%20(m-1)\"\n", + "df = pd.read_csv(url)\n", + "plot_percentiles(df, 'hs2_bbp700 (m-1)')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c2646c46-f4a5-453e-a99e-0adc005c4b7e", + "metadata": {}, "outputs": [], "source": [] } @@ -130,7 +169,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.14" + "version": "3.12.10" } }, "nbformat": 4, From 924808fd94c1f549508d91582c13d0868972f4ee Mon Sep 17 00:00:00 2001 From: Mike McCann Date: Thu, 12 Jun 2025 11:15:57 -0700 Subject: [PATCH 66/66] Remove old execution instructions and update known_hash. --- ...pm-explore_relationships_september2013.ipynb | 17 ++--------------- 1 file changed, 2 insertions(+), 15 deletions(-) diff --git a/notebooks/5.7-mpm-explore_relationships_september2013.ipynb b/notebooks/5.7-mpm-explore_relationships_september2013.ipynb index 36c2163f..5f6e3daf 100644 --- a/notebooks/5.7-mpm-explore_relationships_september2013.ipynb +++ b/notebooks/5.7-mpm-explore_relationships_september2013.ipynb @@ -6,20 +6,7 @@ "source": [ "#### Explore relationships between parameters from stoqs_september2013_o Parquet output\n", "\n", - "This Notebook is part of the auv-python project (private repository at https://github.com/mbari-org/auv-python). It demonstrates how to read and make interactive plots of millions of data points accessed from a STOQS database.\n", - "\n", - "To execute it (for example):\n", - "\n", - "```bash\n", - " cd GitHub # Or other appropriate directory on your computer\n", - " git clone https://github.com/mbari-org/auv-python.git\n", - " cd auv-python\n", - " poetry install\n", - " poetry shell\n", - " cd notebooks\n", - " jupyter notebook\n", - " # Open this notebook and run it from your browser - interactive zooming does not work in VS Code\n", - "```\n", + "This Notebook is part of the auv-python project (https://github.com/mbari-org/auv-python). It demonstrates how to read and make interactive plots of millions of data points accessed from a STOQS database.\n", "\n", "The urls in the pooch.retrieve() calls below were generated by going to https://stoqs.mbari.org/stoqs_september2013_o/ and clicking the buttons of the Measured Parameters to be included in the Parquet file. Then clicking the \"Measured Parameter Data Access\" section and clicking the \"Estimate requirements\" button to verify that the estimated values are within the available values of the server. It may look something like this:\n", "![Screenshot from STOQS showing how to generate a .parquet URL](stoqs_parquet_ex1.png \"STOQS screenshot\")" @@ -60,7 +47,7 @@ "downloader = pooch.HTTPDownloader(timeout=(60, 300)) # (connect, read) timeouts in seconds\n", "data_file = pooch.retrieve(\n", " url=\"https://stoqs.mbari.org/stoqs_september2013_o/api/measuredparameter.parquet?parameter__name=altitude¶meter__name=bb470¶meter__name=bb650¶meter__name=chlorophyll¶meter__name=temperature&measurement__instantpoint__activity__platform__name=daphne&measurement__instantpoint__activity__platform__name=tethys&measurement__instantpoint__timevalue__gt=2013-09-20+09%3A48%3A39&measurement__instantpoint__timevalue__lt=2013-10-07+14%3A59%3A29&measurement__depth__gte=-5.54&measurement__depth__lte=101.81&collect=name&include=activity__name\",\n", - " known_hash=\"9752339b16add286c96690a21473f08ebedd7a9febd9574905dd1a63a6da6de6\",\n", + " known_hash=\"989a2c5bfee4730bb77048ed16798efa8207c09f17d7ddfcd2b3c38245dbdba7\",\n", " downloader=downloader,\n", ")\n", "df = pd.read_parquet(data_file)\n",