diff --git a/analysis/.DS_Store b/analysis/.DS_Store deleted file mode 100644 index 5819d64e..00000000 Binary files a/analysis/.DS_Store and /dev/null differ diff --git a/analysis/B01_filter_regrid.py b/analysis/B01_filter_regrid.py deleted file mode 100644 index 72d6fcf3..00000000 --- a/analysis/B01_filter_regrid.py +++ /dev/null @@ -1,478 +0,0 @@ -import os, sys -#execfile(os.environ['PYTHONSTARTUP']) - -""" -This file open a ICEsat2 track applied filters and corections and returns smoothed photon heights on a regular grid in an .nc file. -This is python 3 -""" -# exec(open(os.environ['PYTHONSTARTUP']).read()) -# exec(open(STARTUP_2019_DP).read()) - -base_path='/Users/Shared/Projects/2021_IceSAT2_tracks/' -sys.path.append(base_path +'modules/') -sys.path.append(base_path +'modules/ICEsat2_SI_tools/') - -import matplotlib.pyplot as plt -%matplotlib inline - -#import m_general as M -#import m_tools as MT -import numpy as np - -import m_general_ph3 as M -import m_tools_ph3 as MT - -import netCDF4 -import datetime -import os -from netCDF4 import Dataset -import xarray as xr -import pandas as pd -import h5py - -import ICEsat2_SI_tools.convert_GPS_time as cGPS -import ICEsat2_SI_tools.io as io -from spectral_estimates import create_chunk_boundaries_unit_lengths -from random import sample -import imp - -#import s3fs - -# Python reader based on Pandas. Other reader examples available in readers.py -track_name= 'ATL03_20190515060436_07170312_002_02' -load_path = base_path + 'data/data1/' -load_file = load_path + 'processed_'+track_name+'.h5' - -track_name= 'ATL03_20191215230028_12220512_004_01' -track_name= 'ATL03_20210414065545_03121112_004_01' -track_name= 'ATL03_20210414174223_03191110_004_01' - -load_path = base_path + 'data/data4/' -load_file = load_path + 'processed_'+track_name+'.h5' - -# % - -# test which beams exist: -all_beams = ['gt1l', 'gt1r', 'gt2l', 'gt2r', 'gt3l', 'gt3r'] -low_beams = ['gt1l', 'gt2l', 'gt3l'] -high_beams = ['gt1r', 'gt2r', 'gt3r'] - -f = h5py.File(load_file, 'r') -beams = [b if b in f.keys() else None for b in all_beams] - -def correct_heights(T03, T03c, coord = 'delta_time'): - T03['heights_c']= T03['heights'] - np.interp( T03[coord],T03c[coord], T03c['dem_h'] ) - return T03 - -# Load fata and apply height corrections -# This needs version 2 of the ALT 03 dataset -hist= 'Beam stats' -B= dict() -for k in beams: - - T = io.getATL03_beam(load_file, beam= k) - - ho = k - ho = MT.add_line_var(ho, 'size', str(T.shape[0])) - ho = MT.add_line_var(ho, 'by confidence levels:' + str(np.arange(0, 5)), [ (T['signal_confidence'] == i).sum() for i in np.arange(0, 5) ]) - - # filter: - Tsel = T[(T['signal_confidence']>2) & (T['heights']<100) & (T['heights'] > -100) ]# & (T['delta_time']>5) & (T['delta_time']<24) ] - if len(Tsel) == 0: - ho = MT.add_line_var(ho, 'no photons found', '') - Tsel= T[(T['signal_confidence'] ==-1 ) & (T['heights']<100) & (T['heights'] > -100) ]# & (T['delta_time']>5) & (T['delta_time']<24) ] - - - Tsel_c = io.getATL03_height_correction(load_file) - Tsel_c = Tsel_c[Tsel_c['dem_h'] < 1e5] # cute out weird references - B[k] = correct_heights(Tsel, Tsel_c) - - ho = MT.add_line_var(ho, 'selected size', str(Tsel.shape[0])) - ho = MT.add_line_var(ho, 'final size ', str(Tsel_c.shape[0])) - - print(ho) - hist = MT.write_log(hist, ho) - - -# %% - -def track_type(T): - """ - Returns if track acending or desending - T is a pandas table - """ - #T = B[k] - #T = B[beams_list[0]] - return (T['lats'].iloc[T['delta_time'].argmax()] - T['lats'].iloc[T['delta_time'].argmin()] ) < 0 - - - -def lat_min_max(B, beams_list): - """ - defines common boundaries for beams_list in B - iunputs: - beams_list list of concidered beams - B is dict of Pandas tables with beams - - returns: - min_lat, max_lat, accent min and max latitudes of the beams, (True/False) True if the track is accending - """ - #B, beams_list = B , high_beams - accent = track_type( B[beams_list[0]] ) - - if B[beams_list[0]]['lats'].iloc[0] < 0: - hemis = 'SH' - else: - hemis = 'NH' - - track_lat_mins, track_lat_maxs= list(), list() - for k in beams_list: - track_lat_mins.append( B[k]['lats'].min() ) - track_lat_maxs.append( B[k]['lats'].max() ) - - if hemis == 'SH': - return max(track_lat_maxs) , min(track_lat_mins), accent - else: - return min(track_lat_mins), max(track_lat_maxs), accent - - -# %% - -def derive_axis(TT, lat_lims = None): - """ - returns TT distance along track 'dist' in meters - input: - TT pandas table with ICEsat2 track data - lat_lims (None) tuple with the global latitude limits used to define local coodinate system - returns: - TT with x,y,dist and order by dist - """ - #TT, lat_lims = B[key], lat_lims_high - # derive distances in meters - r_e= 6.3710E+6 - dy= r_e*2*np.pi/360.0 - #deglon_in_m= np.cos(T2['lats']*np.pi/180.0)*dy - - # either use position of the 1st photon or use defined start latitude - if lat_lims is None: - TT['y']=(TT['lats'].max() - TT['lats']) *dy - else: - TT['y']=(lat_lims[0] - TT['lats']) *dy - - #TT['y'] = (TT['lats']) *dy - - - if (lat_lims[2] == True): - # accending track - lon_min = TT['lons'].max() - else: - # decending track - lon_min = TT['lons'].min() - - #print(lon_min) - TT['x'] = (TT['lons'] - lon_min) * np.cos( TT['lats']*np.pi/180.0 ) * dy - #TT['x'] = (TT['lons'] ) * np.cos( TT['lats']*np.pi/180.0 ) * dy - TT['dist'] = np.sqrt(TT['x']**2 + TT['y']**2) - - # set 1st dist to 0, not used if global limits are used - if lat_lims is None: - TT['dist']= TT['dist']- TT['dist'].min() - else: - TT['dist']= TT['dist']#- lat_lims[0] - - TT=TT.sort_values(by='dist') - return TT - -def reduce_to_height_distance(TT, key, dx=1, lat_lims = None): - """ - interpolates key (photos heights) to regular grid using 'dist' in pandas table TT. - dx is the interpolation interval - lat_lims (None) tuple with the global latitude limits used to define local coodinate system - if None 'dist' min and max are used - - returns: - x1, y1 position, height - """ - from scipy.interpolate import interp1d - if type(dx) is np.ndarray: - x1 = dx - else: - x1 = np.arange(0,TT['dist'].max(), dx) - y1 = np.interp(x1, TT['dist'], TT[key] ) - - return x1, y1 - -# this is not need anymore -def poly_correct(x, y, poly_order=7, plot_flag=False): - - """ - subtracts a fitted polynom to y - inputs: - x,y position, height - poly_order order of polynom - plot_flag if true plots the fit - returns - y' y - polynom fit - """ - z = np.polyfit(x , y , poly_order) - p = np.poly1d(z) - if plot_flag: - plt.plot(x,y, '.', markersize=0.2,) - plt.plot(x, p(x), '-', markersize=0.2,) - #return z - return y - p(x) - - -# define latitude limits -lat_lims_high = lat_min_max(B, high_beams) -lat_lims_low = lat_min_max(B, low_beams) - -##### 1.) derive common axis for beams - -# %% 1st all stong beams -B2=dict() -colors = iter(['red','blue','orange','green','black','yellow']) -dist_list =np.array([np.nan, np.nan]) -for key in high_beams: - T2 = derive_axis(B[key], lat_lims_high) - - # the ends of the tracks are about 600m appart.. i don't know why .. - # this should have no influence on the distrance along the track - #plt.plot( list(T2['x'][-200:]), list(T2['y'][-200:]), c = next(colors)) - #plt.plot( list(T2['x'][15000:15005]), list(T2['y'][15000:15005]), '.', c = next(colors)) - #plt.plot( list(T2['lons'][:2]), list(T2['lats'][:2]), c = next(colors)) - #plt.axis('equal') - - # depreciated - #T2['heights_adjusted'] = poly_correct(T2['dist'], T2['heights']) # 'dist' is length from start position - - # rolling 100 photon window. May have to be replaced by a window of fixed length. - # if rollin window is replaced by fixed lengrh the following step is obsolute. - #T2['heights_smth'] = T2['heights_adjusted'].rolling(100).median() - B2[key] = T2 - dist_list = np.vstack([ dist_list, [T2['dist'].min(), T2['dist'].max()] ]) - - -##### 2.) regridding and averaging -# %% define functions - -def get_mode(y, bins = np.arange(-5,5, 0.1)): - "returns modes of histogram of y defined by bins" - hist, xbin = np.histogram(y, bins = bins ) - return xbin[hist.argmax()] - -def weighted_mean(x_rel, y): - "returns the gaussian weighted mean for stencil" - - def weight_fnk(x): - "returns gaussian weight given the distance to the center x" - return np.exp(- (x/.5)**2 ) - - w = weight_fnk(x_rel) - return (w*y).sum()/w.sum() - - -# this function is applied to beam: -def get_stencil_stats(T2, stencil_iter, key , Nphoton_min = 5): - - """ - T2 pd.DAtaframe with beam data needs at least 'dist' and key - stencil_iter iterable that constains the stancil boundaries and center [left boundary, center, right boundary] - key coloumn index used in T2 - Nphoton_min minimum required photots needed to return meaning full averages - - returns: - pandas DataFrame with the same as T2 but not taken the median of each column - the following columns are also added: - key+ '_weighted_mean' x-weighted gaussian mean of key for each stencil - key+ '_mode' mode of key for each stencil - 'N_photos' Number of Photons for each stencil - key+ '_std' standard deviation for each stencil - - the column 'key' is rename to key+'_median' - - """ - - x_data = T2['dist'] - y_data = T2[key] - # apply this funcion to each stancil - def calc_stencil_stats(istencil): - - "returns stats per stencil" - - i_mask=(x_data >= istencil[0]) & (x_data < istencil[2]) - Nphoton = i_mask.sum() - - if Nphoton < Nphoton_min: - - Tmedian = T2[i_mask].median() - - Tmedian[key+ '_weighted_mean'] = np.nan - Tmedian[key+ '_mode'] = np.nan - Tmedian['N_photos'] = i_mask.sum() - Tmedian[key+ '_std'] = np.nan - - return istencil[1], Tmedian - - - Tmedian = T2[i_mask].median() - - x_rel = (x_data[i_mask] - istencil[1])/(L/2) - y = y_data[i_mask] - - Tmedian[key+ '_weighted_mean'] = weighted_mean(x_rel, y) - Tmedian[key+ '_mode'] = get_mode(y) - Tmedian['N_photos'] = i_mask.sum() - Tmedian[key+ '_std'] = y.std() - - return istencil[1], Tmedian - - # apply func to all stancils - D_filt = dict(map(calc_stencil_stats,stencil_iter)) - - DF_filt = pd.DataFrame.from_dict(D_filt, orient='index') - DF_filt = DF_filt.rename(columns={key: key+'_median', 'dist': 'median_dist'}) - DF_filt['dist'] = DF_filt.index - DF_filt = DF_filt.reset_index() - - return DF_filt - - -# %% old version -# define common dist_grid: -#dx= 5 # 2 * resolution in meters, datapoint +-dx are used to take the mean -#dist_grid = np.arange( np.nanmin(dist_list[:, 0], 0) , np.nanmax(dist_list[:, 1], 0), dx ) - -# derive bin means -def bin_means(T2, dist_grid): - dF_mean = pd.DataFrame(index =T2.columns) - ilim = int(len(dist_grid)) - N_i = list() - - for i in np.arange(1,ilim-1, 1): - if i % 5000 ==0: - print(i) - i_mask=(T2['dist'] >= dist_grid[i-1]) & (T2['dist'] < dist_grid[i+1]) - #if ( (T2['dist'] >= dist_grid[i-1]) & (T2['dist'] < dist_grid[i+1]) ).sum() > 0: - dF_mean[i] = T2[i_mask].mean() - #dF_median[i] = T2[i_mask].median() - N_i.append(i_mask.sum()) - - dF_mean = dF_mean.T - dF_mean['N_photos'] = N_i - dF_mean['dist'] = dist_grid[np.arange(1,ilim-1, 1)] - - return dF_mean - -# %% estimating wave length for given period -T = 5 -g= 9.81 -lam = g *T**2 / (2 * np.pi) -print(lam) - -# define parameters: -L = 20 # stencil length in units of 'dist'; likely in meters the resulting resolution is L/2 -Nphoton_min = 5 # mininum need photons per stancil to return results - -G=dict() -B3 = dict() -for key,Ti in B2.items(): - - print(key) - stencil_iter = create_chunk_boundaries_unit_lengths( L, [ np.nanmin(dist_list[:, 0], 0) , np.nanmax(dist_list[:, 1], 0) ], iter_flag=True ) - - Ti2 = get_stencil_stats(Ti, stencil_iter, 'heights_c', Nphoton_min=Nphoton_min) - Ti2['heights_c_median'][ np.isnan(Ti2['heights_c_std']) ]= np.nan # replace median calculation with nans - - B3[key] =Ti2 # store in dict - - # % save relevant data as xarray - # G[key] =xr.DataArray(Ti2['heights_c_median'], coords={'dist': Ti2['dist']}, dims='dist', name=key) - print(key, 'done') - - -# %% saving data -# Gnew = xr.merge(G.values()) -# Gnew.to_netcdf(load_path+'/'+track_name +'_filtered_photon_heights.nc') - -io.save_pandas_table(B2, track_name + '_B01_corrected' , load_path) # all photos but heights adjusted and with distance coordinate -io.save_pandas_table(B3, track_name + '_B01_binned' , load_path) # regridding heights - -# %% plotting just for checking -plot_flag = True -if plot_flag: - - import m_tools_ph3 as MT - plot_path = base_path+'plots/B01_regridding/'+track_name+'/' - MT.mkdirs_r(plot_path) - - - Ti2 = B3[key] - T2 = B2[key] - - dl = 4000 - latlims = (Ti2['dist'].iloc[0] , Ti2['dist'].iloc[-1] ) - np.arange(latlims[0],latlims[1],dl )[0:80] - for ll in sample( list(np.arange(latlims[0],latlims[1],dl )[0:80]) ,10): - F = M.figure_axis_xy(7, 3, view_scale=0.8) - - plt.plot( T2['dist'], T2['heights_c'], 'k.', markersize= 0.5, alpha =0.8 ) - #plt.plot( ALT07['ref']['latitude'] , ALT07['heights']['height_segment_height'] , 'r.', markersize=0.8, alpha = 1, label ='ALT07 seg. heights') - - plt.plot(Ti2['dist'], Ti2['heights_c_weighted_mean'] +1, '.-', color='darkblue', linewidth=0.5, markersize=2,alpha=0.9, label='x-gauss weighted mean +1') - plt.plot(Ti2['dist'], Ti2['heights_c_median'], 'r.-', linewidth=0.5, markersize=2,alpha=0.9, label='median') - - plt.plot(Ti2['dist'], Ti2['heights_c_mode']-1, 'g.-', linewidth=0.5, markersize=2,alpha=0.9, label='mode - 1') - - plt.plot(Ti2['dist'], Ti2['heights_c_std'] - 1.8, 'k-', linewidth=0.5,alpha=1) - plt.fill_between( Ti2['dist'], Ti2['heights_c_std'] -1.8 , y2=-1.8, color='gray',alpha=1) - - # plt.plot( ALT03['delta_time'], ALT03['heights_c'], 'k.', markersize= 0.3, alpha =0.2 ) - # plt.plot(ALT07['time']['delta_time'] , ALT07['heights']['height_segment_height'] , 'r.', markersize=0.8, alpha = 1, label ='ALT07 seg. heights') - plt.legend(loc=1) - plt.xlim(ll, ll+dl) - plt.ylim(-2, 3) - - plt.xlabel('Meters from the Sea Ice Edge') - plt.ylabel('Height Anomalie (meters)') - F.ax.axhline(y =-1.8, color='black', linewidth=0.5) - F.save_light(path= plot_path, name='ALT03_filt_compare'+ str(ll)) - - -# %% plot -# plot_flag = True -# if plot_flag: -# F = M.figure_axis_xy(5, 6.5, view_scale=0.8) -# -# plt.subplot(2,1 , 1) -# plt.title('Filtered Photon Heights in Sea Ice') -# plt.plot(T2['dist'], T2['heights_c'], 'ko', markersize=1,alpha=0.5) -# -# #plt.plot(T2['dist'], T2['heights_smth'], 'bo', markersize=1, alpha=0.5) -# -# -# plt.plot(x1, y1, '-r', markersize=2) -# #plt.xlim(70000, 80000) -# plt.xlim(140000, 145000) -# plt.xlabel('Meters from the Sea Ice Edge') -# plt.ylabel('Height Anomalie (meters)') -# -# plt.show() -# -# -# F = M.figure_axis_xy(4.5, 3, view_scale=0.8) -# -# #plt.subplot(2,1, 2) -# plt.plot(T2['dist']/1e3, T2['heights_adjusted'], 'ko', markersize=1,alpha=0.5, label='rar data') -# -# #plt.plot(T3['dist']/1e3, T3['heights_smth'], 'bo', markersize=1, alpha=0.5) -# # %% -# plt.plot(x1/1e3, y1, '-r', linewidth=1, label='best estimate') -# #plt.xlim(2*3400/1e3, 2*7000/1e3) -# #plt.xlim(10000, 10500) -# plt.xlabel('km from the Sea Ice Edge') -# plt.ylabel('Height Anomalie (meters)') -# plt.legend() -# # F.save_pup(path=bpath, name='filtered_photon_heights_pup') -# # F.save_light(path=bpath, name='filtered_photon_heights_pup_lght') -# #plt.ylim(5, 12) diff --git a/analysis/B01_filter_regrid_ALT07_test.py b/analysis/B01_filter_regrid_ALT07_test.py deleted file mode 100644 index 04d122ca..00000000 --- a/analysis/B01_filter_regrid_ALT07_test.py +++ /dev/null @@ -1,222 +0,0 @@ -import os, sys -#execfile(os.environ['PYTHONSTARTUP']) - -""" -This file open a ICEsat2 track applied filters and corections and returns smoothed photon heights on a regular grid in an .nc file. -This is python 3 -""" -# exec(open(os.environ['PYTHONSTARTUP']).read()) -# exec(open(STARTUP_2019_DP).read()) - -base_path='/Users/Shared/Projects/2021_IceSAT2_tracks/' -sys.path.append(base_path +'modules/') -sys.path.append(base_path +'modules/ICEsat2_SI_tools/') - -import matplotlib.pyplot as plt -%matplotlib inline - -#import m_general as M -#import m_tools as MT -import numpy as np - -import m_general_ph3 as M - -import netCDF4 -import datetime -import os -from netCDF4 import Dataset -import xarray as xr -import pandas as pd -import h5py - -import ICEsat2_SI_tools.convert_GPS_time as cGPS -import ICEsat2_SI_tools.io as io - -import imp -#import s3fs -# %% - -# Python reader based on Pandas. Other reader examples available in readers.py - - -#track_name= 'ATL07-01_20190909191519_11260401_004_01' -track_name = 'processed_ATL07-02_20190515045104_07170301_002_01' -load_path = base_path + 'data/data1/' -load_file = load_path +track_name+'.h5' -# % - -# test which beams exist: -all_beams = ['gt1l', 'gt1r', 'gt2l', 'gt2r', 'gt3l', 'gt3r'] -low_beams = ['gt1l', 'gt2l', 'gt3l'] -high_beams = ['gt1r', 'gt2r', 'gt3r'] - -f = h5py.File(load_file, 'r') -beams = [b if b in f.keys() else None for b in all_beams] - -imp.reload(io) - -ATL03 = h5py.File(load_file, 'r') - -fileT=load_file -beam= high_beams[0] - -imp.reload(io) -ALT07 = io.getATL07_beam(fileT) - -# %% -#processed_ATL03_20190515060436_07170312_002_02 -track_name = 'processed_ATL03_20190515060436_07170312_002_02' -load_path = base_path + 'data/data1/' -load_file = load_path +track_name+'.h5' -ATL03 = h5py.File(load_file, 'r') - -ALT03 = io.getATL03_beam(load_file) - -#ALT03 = ALT03[(ALT03['signal_confidence']>1) & (ALT03['heights']<100)] -ALT03 = ALT03[(ALT03['heights']<100) & (ALT03['heights'] > -100)] - -# %% -# latlims = (ALT07['ref']['latitude'].iloc[0] , ALT07['ref']['latitude'].iloc[-1] ) -# -# dl = 0.08 -# for ll in np.arange(latlims[0],latlims[1],dl ): -# F = M.figure_axis_xy(7, 2, view_scale=0.8) -# -# ALT03i = ALT03[ALT03['signal_confidence']==4 ] -# plt.plot(ALT03i['lats'] ,ALT03i['heights'] , 'k.', markersize=0.2, alpha = 0.4, label ='ALT03 sig.level 4') -# -# ALT03i = ALT03[(ALT03['signal_confidence']>1) & (ALT03['signal_confidence']<4)] -# plt.plot(ALT03i['lats'] ,ALT03i['heights'] , 'g.', markersize=2, alpha = 1, label ='ALT03 sig.level 2-3') -# -# plt.plot(ALT07['ref']['latitude'] , ALT07['heights']['height_segment_height'] , 'r.', markersize=0.8, alpha = 1, label ='ALT07 seg. heights') -# plt.xlim(ll, ll+dl) -# plt.legend() -# F.save_light(path= base_path+'plots/tests/', name='ALT03_ALT07_comparison_'+ str(ll)) - - -# %% -D = ALT07 -plt.plot( D['ref']['seg_dist_x'], D['ref']['latitude'] ) -D['heights']['height_segment_ssh_flag'].plot() - -# %% -dist= D['ref']['seg_dist_x']- D['ref']['seg_dist_x'][0] -segl= D['heights']['height_segment_length_seg']/10 - - -lowest_possible_T = 2 * 2 * np.pi * np.sqrt(segl.median() / 9.81) -# %% get surface height corretions -def get_time_for_track(delta_time, atlas_epoch): - "returns pandas dataframe" - import pandas as pd - import convert_GPS_time as cGPS - # Conversion of delta_time to a calendar date - temp = cGPS.convert_GPS_time(atlas_epoch[0] + delta_time, OFFSET=0.0) - - year = temp['year'][:].astype('int') - month = temp['month'][:].astype('int') - day = temp['day'][:].astype('int') - hour = temp['hour'][:].astype('int') - minute = temp['minute'][:].astype('int') - second = temp['second'][:].astype('int') - - return pd.DataFrame({'year':year, 'month':month, 'day':day, 'hour':hour, 'second':second}) - - - -ALT07_cor = getATL07_height_corrections(fileT) - -ALT07_cor.shape -podppd_flag.size -ALT07_cor['corrections'].keys() -# follow this correction: -# Prior to surface finding, do the following to the photon heights: -# • Remove data when padpodflag = 1. # not applied -# • Remove all TEP photons. # not applied -# • Remove the mean sea surface (MSS) heights, which are bilinearly interpolated to the -# photon locations. -# • Apply the ocean tide corrections. -# • Apply the long period equilibrium tide corrections only when there is a valid ocean tide -# correction. (i.e., when tides both are available). -# • Apply the inverted barometer (IB) corrections using met_slp from ATL09 (bilinearly -# interpolated to the photon locations) as -# hIB = -9.948(met_slp-1013.25)/1000. (meters). -# These corrections are as follows: -# h = h_ph - hMSS - hocean_tide - hlpe_tide - hIB -# (sign convention is consistent with that used in ATL03) - -h_correction =ALT07_cor['corrections']['height_segment_mss'] + ALT07_cor['corrections']['height_segment_ocean'] + ALT07_cor['corrections']['height_segment_lpe'] + ALT07_cor['corrections']['height_segment_dac'] -# 'height_segment_dac' can be replaced by 'height_segment_ib', not sure .. -ALT07_cor['h_correction'] = h_correction - -# %% - -track_name = 'processed_ATL07-02_20190515045104_07170301_002_01' -load_path = base_path + 'data/data1/' -load_file = load_path +track_name+'.h5' -imp.reload(io) -ALT07 = io.getATL07_beam(load_file) - - -track_name = 'processed_ATL03_20190515060436_07170312_002_02' -load_path = base_path + 'data/data1/' -load_file = load_path +track_name+'.h5' -#ATL03 = h5py.File(load_file, 'r') -ALT03 = io.getATL03_beam(load_file) - -# %% -ALT07 - -ALT03 = ALT03[ (ALT03['signal_confidence']>1) & (ALT03['heights']<100) & (ALT03['heights'] > -100)] -ALT03['heights'].plot() - -ALT03c = io.getATL03_height_correction(load_file) -ALT03c['dem_h'].plot() - -# cut data -ALT03c = ALT03c[ALT03c['dem_h'] < 1e5] # cute out weird references -ALT03c['dem_h'].plot() - -# subtract h_ref -mask= (ALT03c['delta_time']>= ALT03['delta_time'].min() ) & (ALT03c['delta_time'] <= ALT03['delta_time'].max()) -ALT03c = ALT03c[mask] - - -ALT03['heights_c']= ALT03['heights'] - np.interp( ALT03['delta_time'],ALT03c['delta_time'], ALT03c['dem_h'] ) - -# %% -plt.plot( ALT03c['delta_time'], ALT03c['dem_h'], zorder= 12) -plt.plot( ALT03['delta_time'], ALT03['heights'], 'k.', alpha =0.2 ) - -# %% test smooting - - -np.nanmin(dist_list[:, 0], 0) , np.nanmax(dist_list[:, 1], 0) - -# %% - -latlims = (ALT07['ref']['latitude'].iloc[0] , ALT07['ref']['latitude'].iloc[-1] ) -#latlims = (ALT07['time']['delta_time'].iloc[0] , ALT07['time']['delta_time'].iloc[-1] ) -#latlims[1] -latlims[0] -dl = 1 -dl = 0.07 - -for ll in np.arange(latlims[0],latlims[1],dl ): - F = M.figure_axis_xy(7, 2, view_scale=0.8) - - # ALT03i = ALT03[ALT03['signal_confidence']==4 ] - # plt.plot(ALT03i['lats'] ,ALT03i['heights'] , 'k.', markersize=0.2, alpha = 0.4, label ='ALT03 sig.level 4') - - # ALT03i = ALT03[(ALT03['signal_confidence']>1) & (ALT03['signal_confidence']<4)] - # plt.plot(ALT03i['lats'] ,ALT03i['heights'] , 'g.', markersize=2, alpha = 1, label ='ALT03 sig.level 2-3') - - plt.plot( ALT03['lats'], ALT03['heights_c'], 'k.', markersize= 0.3, alpha =0.2 ) - plt.plot(ALT07['ref']['latitude'] , ALT07['heights']['height_segment_height'] , 'r.', markersize=0.8, alpha = 1, label ='ALT07 seg. heights') - - # plt.plot( ALT03['delta_time'], ALT03['heights_c'], 'k.', markersize= 0.3, alpha =0.2 ) - # plt.plot(ALT07['time']['delta_time'] , ALT07['heights']['height_segment_height'] , 'r.', markersize=0.8, alpha = 1, label ='ALT07 seg. heights') - - plt.xlim(ll, ll+dl) - plt.ylim(-2, 2) - #plt.legend() - F.save_light(path= base_path+'plots/tests/', name='ALT03_ALT07_comparison_corrected'+ str(ll)) diff --git a/analysis/B01_filter_regrid_curve_lin.py b/analysis/B01_filter_regrid_curve_lin.py deleted file mode 100644 index f4a08400..00000000 --- a/analysis/B01_filter_regrid_curve_lin.py +++ /dev/null @@ -1,488 +0,0 @@ -import os, sys -#execfile(os.environ['PYTHONSTARTUP']) - -""" -This file open a ICEsat2 track applied filters and corections and returns smoothed photon heights on a regular grid in an .nc file. -This is python 3 -""" -# exec(open(os.environ['PYTHONSTARTUP']).read()) -# exec(open(STARTUP_2019_DP).read()) - -exec(open(os.environ['PYTHONSTARTUP']).read()) -exec(open(STARTUP_2021_IceSAT2).read()) - -import datetime -import h5py -from random import sample -import imp -import ICEsat2_SI_tools.convert_GPS_time as cGPS -import ICEsat2_SI_tools.io as io -from spectral_estimates import create_chunk_boundaries_unit_lengths, create_chunk_boundaries -import spectral_estimates as spec -import m_tools_ph3 as MT -import filter_regrid as regrid - -import concurrent.futures as futures - - - -#import s3fs -#processed_ATL03_20190605061807_10380310_004_01.h5 - -#imp.reload(io) -track_name, batch_key, test_flag = io.init_from_input(sys.argv) # loads standard experiment -#track_name, batch_key, test_flag = '20190605061807_10380310_004_01', 'SH_batch01', False -#track_name, batch_key, test_flag = '20190207234532_06340210_004_01', 'SH_batch02', False -#track_name, batch_key, test_flag = '20190215184558_07530210_004_01', 'SH_batch02', False -#track_name, batch_key, test_flag = '20190219073735_08070210_004_01', 'SH_batch02', False -#track_name, batch_key, test_flag = '20190208104534_06410210_004_01', 'SH_batch02', False - - - - -#print(track_name, batch_key, test_flag) -hemis, batch = batch_key.split('_') -#track_name= '20190605061807_10380310_004_01' -ATlevel= 'ATL03' - -load_path = mconfig['paths']['scratch'] +'/'+ batch_key +'/' -load_file = load_path + 'processed_'+ATlevel+'_'+track_name+'.h5' - -save_path = mconfig['paths']['work'] +'/B01_regrid_'+hemis+'/' - -plot_path = mconfig['paths']['plot']+ '/'+hemis+'/'+batch_key+'/'+track_name +'/B_ov/' -bad_track_path =mconfig['paths']['work'] +'bad_tracks/'+ batch_key+'/' -MT.mkdirs_r(save_path) - -# set pars - -# define parameters: -Lmeter = 20 # stencil length in units of 'dist'; likely in meters the resulting resolution is L/2 -Nphoton_min = 5 # mininum need photons per stancil to return results - -Lmeter_large= 100e3 # stancil width for testing photon density. stancils do not overlab. -minium_photon_density = 0.02 # minimum photon density per meter in Lmeter_large chunk to be counted as real signal - -plot_flag = True -Nworkers = 3 # number of threads for parallel processing -Nworkers_process =3 # number of threads for parallel processing -# %% -# test which beams exist: -all_beams = mconfig['beams']['all_beams'] -# high_beams = mconfig['beams']['high_beams'] -# low_beams = mconfig['beams']['low_beams'] - -f = h5py.File(load_file, 'r') -beams = [b if b in f.keys() else None for b in all_beams] -accent = regrid.track_type_beam(f) - -print('accent is ' , accent) -# Load fata and apply height corrections -# This needs version 2 of the ALT 03 dataset - -#ATL03 = h5py.File(load_file, 'r') - -#ATL03[k+'/heights/ph_id_channel'][0:100] - -# %% -hist = 'Beam stats' -B = dict() -B1save = dict() -SEG = dict() -for k in beams: - #k = beams[0] - imp.reload(io) - print(k) - - T, seg = io.getATL03_beam(load_file, beam= k) - - - - print('loaded') - T = T[T['mask_seaice']] # only take sea ice points, no ocean points - - ho = k - ho = MT.add_line_var(ho, 'size', str(T.shape[0])) - ho = MT.add_line_var(ho, 'by confidence levels:' + str(np.arange(0, 5)), [ (T['signal_confidence'] == i).sum() for i in np.arange(0, 5) ]) - - # filter: - Tsel = T[ (T['heights']<100) & (T['heights'] > -100) ]# & (T['delta_time']>5) & (T['delta_time']<24) ] - - # if len(Tsel) == 0: - # ho = MT.add_line_var(ho, 'no photons found', '') - # #Tsel= T[(T['signal_confidence'] ==-1 ) & (T['heights']<100) & (T['heights'] > -100) ]# & (T['delta_time']>5) & (T['delta_time']<24) ] - - Tsel_c = io.getATL03_height_correction(load_file) - Tsel_c = Tsel_c[Tsel_c['dem_h'] < 1e5] # cute out weird references - Tsel2 = regrid.correct_heights(Tsel, Tsel_c).reset_index(drop=True)# correct height - print('height corrected') - - ### cut data at the rear that has too much variance - # cut last segments of data until variance is similar - rear_mask = np.array(Tsel2.index) > -1 - shape_old = Tsel2.shape - N_seg= 20 - - cut_flag = True - while cut_flag: - dd= Tsel2['heights_c'][rear_mask] - nsize = dd.size - stencil_iter = create_chunk_boundaries( int(nsize/N_seg), nsize,ov =0, iter_flag=True ) - - def get_var(sti): - return dd[sti[0]: sti[1]].var() - - var_list = np.array(list(map(get_var, stencil_iter))) - - if var_list[0:3].mean()*10 < var_list[-1]: - #print('cut last '+ str(100/N_seg) +'% of data') - rear_mask[int(nsize* (N_seg-1) / N_seg):] = False - else: - cut_flag = False - - - Tsel2['process_mask'] = rear_mask - B1save[k] = Tsel2 - B[k] = Tsel2[rear_mask].drop(columns='process_mask') - SEG[k] = seg - - ho = MT.add_line_var(ho, 'cutted ', str( np.round( 100 *(rear_mask.size -rear_mask.sum() ) / rear_mask.size, 0)) + '% in the back of the track' ) - ho = MT.add_line_var(ho, 'selected size', str(Tsel.shape[0])) - ho = MT.add_line_var(ho, 'final size ', str(Tsel_c.shape[0])) - print(ho) - - hist = MT.write_log(hist, ho) - -print('done with 1st loop') - -# %% define x- coodindate - -# find most equator ward segment length -total_segment_dist_x_min= list() -for k,I in SEG.items(): - total_segment_dist_x_min.append( I['segment_dist_x'].min() ) -total_segment_dist_x_min = min(total_segment_dist_x_min) - -# T = B['gt1r'] -# seg = SEG['gt1r'] - -def make_x_coorindate(T, seg): - - """ - Returns the "true" along track coordindate but finding the correpsonding segment length - also adds the segment_ID to the main table T - """ - - time_ticks = np.insert(np.diff(T['along_track_distance']), 0,0 ) - T['seg_ID_local'] = np.digitize(T['delta_time'], T[ time_ticks < - 10 ]['delta_time']) - Tg= T.groupby(by= 'seg_ID_local', axis=0, group_keys=seg['delta_time'] ) - - def add_seg_length(Ti, seg): - try: - seg_data = seg[seg['delta_time'] < Ti['delta_time'].iloc[0]].iloc[-1] - seg_l = seg_data['segment_dist_x'] - total_segment_dist_x_min - seg_ID = seg_data['segment_id'] - except: - seg_l = np.nan - seg_ID = np.nan - - Ti['x'] = seg_l.astype('float64') + Ti['along_track_distance'].astype('float64') - Ti['seg_ID'] = seg_ID - return Ti - - return Tg.apply(add_seg_length, seg) - -for k in B.keys(): - print(k) - B[k] = make_x_coorindate(B[k], SEG[k]) - -dist_list = np.array([np.nan, np.nan]) -for k in B.keys(): - dist_list = np.vstack([ dist_list, [B[k]['x'].iloc[0] , B[k]['x'].iloc[-1] ] ]) - -del A - - -# %% -# define latitude limits -# def lat_min_max(B, beams_list, accent=None): -# """ -# defines common boundaries for beams_list in B -# iunputs: -# beams_list list of concidered beams -# B is dict of Pandas tables with beams -# accent if track is accending or decending. if None, this will try to use the track time to get this -# -# returns: -# min_lat, max_lat, accent min and max latitudes of the beams, (True/False) True if the track is accending -# """ -# #B, beams_list = B , high_beams -# accent = track_type( B[beams_list[0]] ) if accent is None else accent -# -# if B[beams_list[0]]['lats'].iloc[0] < 0: -# hemis = 'SH' -# else: -# hemis = 'NH' -# -# track_pos_start, track_pos_end= list(), list() -# for k in beams_list: -# if (hemis == 'SH'): -# track_pos_start.append( B[k].loc[B[k]['lats'].argmax()][ ['lats', 'lons']] ) -# track_pos_end.append( B[k].loc[B[k]['lats'].argmin()][ ['lats', 'lons']] ) -# else: -# track_pos_start.append( B[k].loc[B[k]['lats'].argmin()][ ['lats', 'lons']] ) -# track_pos_end.append( B[k].loc[B[k]['lats'].argmax()][ ['lats', 'lons']] ) -# -# -# track_lat_start, track_lat_end = list(), list() -# track_lon_start, track_lon_end = list(), list() -# -# for ll in track_pos_start: -# track_lat_start.append(ll['lats']) -# track_lon_start.append(ll['lons']) -# -# -# for ll in track_pos_end: -# track_lat_end.append(ll['lats']) -# track_lon_end.append(ll['lons']) -# -# # track_lat_start.append( B[k]['lats'].min() ) -# # track_lat_end.append( B[k]['lats'].max() ) -# # -# # track_lon_left.append(B[k]['lons'].min()) -# # track_lon_right.append(B[k]['lons'].max()) -# -# if accent: -# track_lon_start -# #track_lat_start.min(), track_lon_right.max() -# -# if (hemis == 'SH') & accent: -# return [max(track_lat_start) , min(track_lat_end)], [max(track_lon_start), min(track_lon_end)], accent # accenting SH mean start is in the top right -# elif (hemis == 'SH') & ~accent: -# return [max(track_lat_start) , min(track_lat_end)], [min(track_lon_start), max(track_lon_end)], accent # decent SH mean start is in the top left -# elif (hemis == 'NH') & accent: -# return [min(track_lat_start) , max(track_lat_end)], [min(track_lon_start), max(track_lon_end)], accent # accent NH mean start is in the lower left -# elif (hemis == 'NH') & ~accent: -# return [min(track_lat_start) , max(track_lat_end)], [max(track_lon_start), min(track_lon_end)], accent # decent NH mean start is in the lower right -# else: -# raise ValueError('some defintions went wrong') -# -# -# lat_lims, lon_lims, accent = lat_min_max(B, all_beams, accent = accent) - - -# %% test ave photon density -track_dist_bounds = [ np.nanmin(dist_list[:, 0], 0) , np.nanmax(dist_list[:, 1], 0) ] -length_meter = track_dist_bounds[1] - track_dist_bounds[0] -#length_meter = (abs(lat_lims[1]) - abs(lat_lims[0])) * 110e3 -p_densities_r = list() -p_densities_l = list() - -for k, I in B.items(): - if 'r' in k: - p_densities_r.append( I.shape[0] /length_meter) - else: - p_densities_l.append( I.shape[0] /length_meter) - -if (np.array(p_densities_l).mean() < 0.5) & (np.array(p_densities_r).mean() < 0.5): # in photons per meter - print('photon density too low, this track is classified as bad track and pushed to bad list') - MT.json_save(track_name, bad_track_path, {'densities': [ np.array(p_densities_r).mean(), np.array(p_densities_l).mean()] , 'date': str(datetime.date.today()) }) - print('exit.') - exit() - - -# %% save corrected data and delete from cash -#io.save_pandas_table(B1save, track_name + '_B01_corrected' , save_path) # all photos but heights adjusted and with distance coordinate -del B1save - -# for testing -# T2 = B['gt1r'] -# plt.plot( T2['delta_time'] , T2['along_track_distance'] , '.') -# plt.plot(T2['x']) -# for k,I in B.items(): -# plt.plot( I['x'] , I['across_track_distance'] - I[I['seg_ID_local'] == 0]['across_track_distance'].mean(), '.' , markersize = 0.3) -# #plt.xlim(3e6, 3.25e6) -# -# for k,I in B.items(): -# plt.plot( I['x'] , I['across_track_distance'], '.' , markersize = 0.3) -# #plt.xlim(3e6, 3.25e6) - - -# %% -##### 1.) derive common axis for beams and filter out low density area at the beginning -print('filter out low density area at the beginning') - -def derive_axis_and_boundaries(key): - #key = 'gt3r' - print(key) - #T2 # = regrid.derive_axis(B[key], lat_lims).sort_values('dist') - T2 = B[key]#['x'] - - x0 = get_better_lower_boundary(Lmeter_large, np.array(T2['x'])) - - print( 'cut off ' , 100 * (1 - T2[T2['x'] > x0].shape[0]/T2.shape[0]) , '% off all data points at the beginning' ) - T2 = T2[T2['x'] >x0] # cut off low density start - - return key, T2, [T2['x'].min(), T2['x'].max()] - -def get_better_lower_boundary(Lmeter_large, dd): - - # T2 = regrid.derive_axis(B[key], lat_lims) - #dd = np.array(T2['x']) - stencil_iter = spec.create_chunk_boundaries_unit_lengths( Lmeter_large, [ dd.min(), dd.max()],ov =0, iter_flag= True) - - def get_density(sti): - return sti[0], sum( (sti[0] <= dd) & (dd < sti[-1]) ) / Lmeter_large - - with futures.ThreadPoolExecutor(max_workers= Nworkers_process) as executor_sub: - #var_list = np.array(list(map(get_density, stencil_iter))) - var_list = np.array(list(executor_sub.map(get_density, stencil_iter))) - - var_list = np.array(var_list) - #var_list[:,0] = np.random.rand(10) - #sort var_list - var_list = var_list[var_list[:,0].argsort(), :] - #print(var_list) - if sum(var_list[:,1] > minium_photon_density) > 1: - first_stencil = next((i for i, j in enumerate(var_list[:,1] > minium_photon_density) if j), None) #- 1 - stencil_iter = spec.create_chunk_boundaries_unit_lengths( Lmeter_large, [ dd.min(), dd.max()],ov =0, iter_flag= False) - return stencil_iter[0, first_stencil] - - else: - #first_stencil = next((i for i, j in enumerate(var_list[:,1] > 0) if j), None)# - 1 - print('no sufficient photon density found. return short stencil') - # first_stencil= len(var_list[:,1]) -1 - # stencil_iter = spec.create_chunk_boundaries_unit_lengths( Lmeter_large, [ dd.min(), dd.max()],ov =0, iter_flag= False) - # return stencil_iter[0, first_stencil] - - # #print(first_stencil) - return var_list[-1,0]#[-1,0] - - -with futures.ProcessPoolExecutor(max_workers=Nworkers_process) as executor: - A = list( executor.map(derive_axis_and_boundaries, all_beams) ) - -# %% -B2 = dict() -dist_list = np.array([np.nan, np.nan]) -for I in A: - k = I[0] - B2[k] = I[1] - #B2[k]['dist'] = B2[k]['x'] - dist_list = np.vstack([dist_list,I[2] ]) - -del A -track_dist_bounds = [ np.nanmin(dist_list[:, 0], 0) , np.nanmax(dist_list[:, 1], 0) ] - -# for testing: -#ts_s = np.copy(track_dist_bounds) - -# %% -F= M.figure_axis_xy(5, 3, view_scale= 0.5) -for k,I in B2.items(): - plt.plot( I['x'] , I['across_track_distance'] , '.' , markersize = 0.3) - #plt.xlim(3e6, 3.25e6) - -F.ax.axvline(track_dist_bounds[0], color='k') -F.ax.axvline(track_dist_bounds[1], color='k') -plt.title('A01 filter & regrid | ' + track_name) -F.save_light(path= plot_path, name='ALT03_track_all') -# %% - -# for testing -#track_dist_bounds[1] = track_dist_bounds[0] + (track_dist_bounds[1] - track_dist_bounds[0])/20 -#track_dist_bounds = ts_s[0] ,ts_s[0] + (ts_s[1] - ts_s[0]) /6 - -# %% -#imp.reload(regrid) -##### 2.) regridding and averaging -print('regrid') -def regridding_wrapper(I): - key, Ti = I - print(key, Ti.shape,2* Ti.shape[0]/Lmeter) - stencil_iter = create_chunk_boundaries_unit_lengths( Lmeter, track_dist_bounds, iter_flag=True ) - with futures.ThreadPoolExecutor(max_workers= Nworkers) as executor_sub: - Bi = regrid.get_stencil_stats( Ti, stencil_iter, 'heights_c', 'x' , stancil_width= Lmeter/2, Nphoton_min=Nphoton_min, map_func = executor_sub.map) - #B3[key] = - print(key, 'done') - return key, Bi - - -with futures.ProcessPoolExecutor(max_workers=Nworkers_process) as executor: - B3 = dict( executor.map(regridding_wrapper, B2.items() ) ) - -# %% ---------------------------- define start and end position and same in Json file - -I = B3['gt2l'].copy() -D_info = dict() -for k,I in B3.items(): - - # reset x coordinate - I['median_dist'] = I['median_x'] - track_dist_bounds[0] #- Lmeter/2 - I['dist'] = I['x'] - track_dist_bounds[0] #- Lmeter/2 - #I['index'] = I['x'] - # rename y cooridinate - I = I.rename(columns={'across_track_distance': 'y'}) - - # find starting and end position - Di_s = dict(I[I['seg_ID'] == I['seg_ID'].iloc[0] ].mean()[['lons', 'lats', 'seg_ID', 'delta_time']]) - Di_s['across_track_distance_0'] =track_dist_bounds[0] - - Di_e = dict(I[I['seg_ID'] == I['seg_ID'].iloc[-1] ].mean()[['lons', 'lats', 'seg_ID', 'delta_time']]) - Di_e['across_track_distance_0'] =track_dist_bounds[0] - - D_info[k] = {'start':Di_s, 'end':Di_e } - - # rerder indexes - column_names = ['index', 'x', 'y', 'median_x', 'lons', 'lats' ,'heights_c_weighted_mean', 'heights_c_median', 'heights_c_std', 'N_photos', ] - vars_ad = set(list(I[I['seg_ID'] == I['seg_ID'].iloc[0] ].mean().index)) - set(column_names) - I = I.reindex(columns=column_names + list(vars_ad)) - - B3[k] = I - -# save Json - -MT.json_save(track_name + '_B01_stats',save_path, D_info, verbose= True ) - -# %% saving data -io.save_pandas_table(B2, track_name + '_B01_regridded' , save_path) # all photos but heights adjusted and with distance coordinate -io.save_pandas_table(B3, track_name + '_B01_binned' , save_path) # regridding heights - - -# %% plotting just for checking -key = 'gt2r' -if plot_flag: - MT.mkdirs_r(plot_path) - Ti2 = B3[key] - T2 = B2[key] - - dl = 4000 - latlims = (Ti2['x'].iloc[0] , Ti2['x'].iloc[-1] ) - #chunk_list = np.arange(latlims[0],latlims[1], dl ) - #chunk_list = sample( list(np.arange(latlims[0],latlims[1],dl )[0:80]) ,10) - chunk_list = np.arange(latlims[0],latlims[1], dl )[::10] - chunk_list = np.append( chunk_list, latlims[1]- dl-1) - for ll in chunk_list: - F = M.figure_axis_xy(7, 3, view_scale=0.8) - - plt.plot( T2['x'], T2['heights_c'], 'k.', markersize= 0.5, alpha =0.8 ) - #plt.plot( ALT07['ref']['latitude'] , ALT07['heights']['height_segment_height'] , 'r.', markersize=0.8, alpha = 1, label ='ALT07 seg. heights') - - plt.plot(Ti2['x'], Ti2['heights_c_weighted_mean'] +1, '.-', color='darkblue', linewidth=0.5, markersize=2,alpha=0.9, label='x-gauss weighted mean +1') - plt.plot(Ti2['x'], Ti2['heights_c_median'], 'r.-', linewidth=0.5, markersize=2,alpha=0.9, label='median') - - #plt.plot(Ti2['x'], Ti2['heights_c_mode']-1, 'g.-', linewidth=0.5, markersize=2,alpha=0.9, label='mode - 1') - - plt.plot(Ti2['x'], Ti2['heights_c_std'] - 1.8, 'k-', linewidth=0.5,alpha=1) - plt.fill_between( Ti2['x'], Ti2['heights_c_std'] -1.8 , y2=-1.8, color='gray',alpha=1) - - # plt.plot( ALT03['delta_time'], ALT03['heights_c'], 'k.', markersize= 0.3, alpha =0.2 ) - # plt.plot(ALT07['time']['delta_time'] , ALT07['heights']['height_segment_height'] , 'r.', markersize=0.8, alpha = 1, label ='ALT07 seg. heights') - plt.legend(loc=1) - plt.xlim(ll, ll+dl) - plt.ylim(-6, 6) - - plt.xlabel('Meters from the Sea Ice Edge') - plt.ylabel('Height Anomalie (meters)') - F.ax.axhline(y =-1.8, color='black', linewidth=0.5) - #F.save_light(path= plot_path, name='ALT03_filt_compare'+ str(ll)) diff --git a/analysis/B01_filter_regrid_lat_lon.py b/analysis/B01_filter_regrid_lat_lon.py deleted file mode 100644 index 704bb7ec..00000000 --- a/analysis/B01_filter_regrid_lat_lon.py +++ /dev/null @@ -1,306 +0,0 @@ -import os, sys -#execfile(os.environ['PYTHONSTARTUP']) - -""" -This file open a ICEsat2 track applied filters and corections and returns smoothed photon heights on a regular grid in an .nc file. -This is python 3 -""" -# exec(open(os.environ['PYTHONSTARTUP']).read()) -# exec(open(STARTUP_2019_DP).read()) - -exec(open(os.environ['PYTHONSTARTUP']).read()) -exec(open(STARTUP_2021_IceSAT2).read()) - -import datetime -import h5py -from random import sample -import imp -import ICEsat2_SI_tools.convert_GPS_time as cGPS -import ICEsat2_SI_tools.io as io -from spectral_estimates import create_chunk_boundaries_unit_lengths, create_chunk_boundaries -import spectral_estimates as spec -import m_tools_ph3 as MT -import filter_regrid as regrid - -import concurrent.futures as futures - - - -#import s3fs -#processed_ATL03_20190605061807_10380310_004_01.h5 - -#imp.reload(io) -track_name, batch_key, test_flag = io.init_from_input(sys.argv) # loads standard experiment -#track_name, batch_key, test_flag = '20190605061807_10380310_004_01', 'SH_batch01', False -#track_name, batch_key, test_flag = '20190207234532_06340210_004_01', 'SH_batch02', False -#track_name, batch_key, test_flag = '20190215184558_07530210_004_01', 'SH_batch02', False - - - -#print(track_name, batch_key, test_flag) -hemis, batch = batch_key.split('_') -#track_name= '20190605061807_10380310_004_01' -ATlevel= 'ATL03' - -load_path = mconfig['paths']['scratch'] +'/'+ batch_key +'/' -load_file = load_path + 'processed_'+ATlevel+'_'+track_name+'.h5' - -save_path = mconfig['paths']['work'] +'/B01_regrid_'+hemis+'/' - -plot_path = mconfig['paths']['plot']+ '/'+hemis+'/'+batch_key+'/'+track_name +'/B_ov/' -bad_track_path =mconfig['paths']['work'] +'bad_tracks/'+ batch_key+'/' -MT.mkdirs_r(save_path) - -# set pars - -# define parameters: -Lmeter = 20 # stencil length in units of 'dist'; likely in meters the resulting resolution is L/2 -Nphoton_min = 5 # mininum need photons per stancil to return results - -Lmeter_large= 100e3 # stancil width for testing photon density. stancils do not overlab. -minium_photon_density = 0.05 # minimum photon density per meter in Lmeter_large chunk to be counted as real signal - -plot_flag = True -Nworkers = 3 # number of threads for parallel processing -Nworkers_process =3 # number of threads for parallel processing -# %% -# test which beams exist: -all_beams = mconfig['beams']['all_beams'] -# high_beams = mconfig['beams']['high_beams'] -# low_beams = mconfig['beams']['low_beams'] - -f = h5py.File(load_file, 'r') -beams = [b if b in f.keys() else None for b in all_beams] -accent = regrid.track_type_beam(f) - -print('accent is ' , accent) -# Load fata and apply height corrections -# This needs version 2 of the ALT 03 dataset - - -hist = 'Beam stats' -B = dict() -B1save = dict() -for k in beams: - #k = beams[0] - #imp.reload(io) - print(k) - T = io.getATL03_beam(load_file, beam= k) - - print('loaded') - T = T[T['mask_seaice']] # only take sea ice points, no ocean points - - ho = k - ho = MT.add_line_var(ho, 'size', str(T.shape[0])) - ho = MT.add_line_var(ho, 'by confidence levels:' + str(np.arange(0, 5)), [ (T['signal_confidence'] == i).sum() for i in np.arange(0, 5) ]) - - # filter: - Tsel = T[ (T['heights']<100) & (T['heights'] > -100) ]# & (T['delta_time']>5) & (T['delta_time']<24) ] - - # if len(Tsel) == 0: - # ho = MT.add_line_var(ho, 'no photons found', '') - # #Tsel= T[(T['signal_confidence'] ==-1 ) & (T['heights']<100) & (T['heights'] > -100) ]# & (T['delta_time']>5) & (T['delta_time']<24) ] - - Tsel_c = io.getATL03_height_correction(load_file) - Tsel_c = Tsel_c[Tsel_c['dem_h'] < 1e5] # cute out weird references - Tsel2 = regrid.correct_heights(Tsel, Tsel_c).reset_index(drop=True)# correct height - print('corrected') - - ### cut data at the rear that has too much variance - # cut last segments of data until variance is similar - rear_mask = np.array(Tsel2.index) > -1 - shape_old = Tsel2.shape - N_seg= 20 - - cut_flag = True - while cut_flag: - dd= Tsel2['heights_c'][rear_mask] - nsize = dd.size - stencil_iter = create_chunk_boundaries( int(nsize/N_seg), nsize,ov =0, iter_flag=True ) - - def get_var(sti): - return dd[sti[0]: sti[1]].var() - - var_list = np.array(list(map(get_var, stencil_iter))) - - if var_list[0:3].mean()*10 < var_list[-1]: - #print('cut last '+ str(100/N_seg) +'% of data') - rear_mask[int(nsize* (N_seg-1) / N_seg):] = False - else: - cut_flag = False - - - Tsel2['process_mask'] = rear_mask - B1save[k] = Tsel2 - B[k] = Tsel2[rear_mask].drop(columns='process_mask') - - ho = MT.add_line_var(ho, 'cutted ', str( np.round( 100 *(rear_mask.size -rear_mask.sum() ) / rear_mask.size, 0)) + '% in the back of the track' ) - ho = MT.add_line_var(ho, 'selected size', str(Tsel.shape[0])) - ho = MT.add_line_var(ho, 'final size ', str(Tsel_c.shape[0])) - print(ho) - - hist = MT.write_log(hist, ho) - -print('done with 1st loop') - -# %% -# define latitude limits -lat_lims = regrid.lat_min_max(B, all_beams, accent = accent) - -# %% test ave photon density -length_meter = (abs(lat_lims[1]) - abs(lat_lims[0])) * 110e3 -p_densities_r = list() -p_densities_l = list() - -for k, I in B.items(): - if 'r' in k: - p_densities_r.append( I.shape[0] /length_meter) - else: - p_densities_l.append( I.shape[0] /length_meter) - -if (np.array(p_densities_l).mean() < 0.5) & (np.array(p_densities_r).mean() < 0.5): # in photons per meter - print('photon density too low, this track is classified as bad track and pushed to bad list') - MT.json_save(track_name, bad_track_path, {'densities': [ np.array(p_densities_r).mean(), np.array(p_densities_l).mean()] , 'date': str(datetime.date.today()) }) - print('exit.') - exit() - - -# %% save corrected data and delete from cash -#io.save_pandas_table(B1save, track_name + '_B01_corrected' , save_path) # all photos but heights adjusted and with distance coordinate -del B1save - - - - -# %% -##### 1.) derive common axis for beams and filter out low density area at the beginning -print('derive common axis for beams and filter out low density area at the beginning') - - -def derive_axis_and_boundaries(key): - #key = 'gt3r' - print(key) - T2 = regrid.derive_axis(B[key], lat_lims).sort_values('dist') - T2.shape - x0 = get_better_lower_boundary(Lmeter_large, np.array(T2['dist'])) - print( 'cut off ' , 100 * (1 - T2[T2['dist'] > x0].shape[0]/T2.shape[0]) , '% off all data points at the beginning' ) - T2 = T2[T2['dist'] >x0] # cut off low density start - #B2[key] = T2 - return key, T2, [T2['dist'].min(), T2['dist'].max()] - -def get_better_lower_boundary(Lmeter_large, dd): - - # T2 = regrid.derive_axis(B[key], lat_lims) - # dd = np.array(T2['dist']) - stencil_iter = spec.create_chunk_boundaries_unit_lengths( Lmeter_large, [ dd.min(), dd.max()],ov =0, iter_flag= True) - - def get_density(sti): - return sti[0], sum( (sti[0] <= dd) & (dd < sti[-1]) ) / Lmeter_large - - with futures.ThreadPoolExecutor(max_workers= Nworkers_process) as executor_sub: - #var_list = np.array(list(map(get_density, stencil_iter))) - var_list = np.array(list(executor_sub.map(get_density, stencil_iter))) - - var_list = np.array(var_list) - #var_list[:,0] = np.random.rand(10) - #sort var_list - var_list = var_list[var_list[:,0].argsort(), :] - #print(var_list) - if sum(var_list[:,1] > minium_photon_density) > 1: - first_stencil = next((i for i, j in enumerate(var_list[:,1] > minium_photon_density) if j), None) - 1 - stencil_iter = spec.create_chunk_boundaries_unit_lengths( Lmeter_large, [ dd.min(), dd.max()],ov =0, iter_flag= False) - return stencil_iter[0, first_stencil] - - else: - #first_stencil = next((i for i, j in enumerate(var_list[:,1] > 0) if j), None)# - 1 - print('no sufficient photon density found. return short stencil') - # first_stencil= len(var_list[:,1]) -1 - # stencil_iter = spec.create_chunk_boundaries_unit_lengths( Lmeter_large, [ dd.min(), dd.max()],ov =0, iter_flag= False) - # return stencil_iter[0, first_stencil] - - # #print(first_stencil) - return var_list[-1,0]#[-1,0] - - - -# for bb in all_beams: -# A = derive_axis_and_boundaries(bb) - -with futures.ProcessPoolExecutor(max_workers=Nworkers_process) as executor: - A = list( executor.map(derive_axis_and_boundaries, all_beams) ) -# %% -B2 = dict() -dist_list = np.array([np.nan, np.nan]) -for I in A: - k = I[0] - B2[k] = I[1] - dist_list = np.vstack([dist_list,I[2] ]) - -del A - -track_dist_bounds = [ np.nanmin(dist_list[:, 0], 0) , np.nanmax(dist_list[:, 1], 0) ] -# for testing: -#track_dist_bounds[1] = track_dist_bounds[0] + (track_dist_bounds[1] - track_dist_bounds[0])/20 - - -# %% -##### 2.) regridding and averaging -print('regrid') -def regridding_wrapper(I): - key, Ti = I - print(key, Ti.shape, 2* Ti.shape[0]/Lmeter) - stencil_iter = create_chunk_boundaries_unit_lengths( Lmeter, track_dist_bounds, iter_flag=True ) - with futures.ThreadPoolExecutor(max_workers= Nworkers) as executor_sub: - Bi = regrid.get_stencil_stats( Ti, stencil_iter, 'heights_c', stancil_width= Lmeter/2, Nphoton_min=Nphoton_min, map_func = executor_sub.map) - #B3[key] = - print(key, 'done') - return key, Bi - - -with futures.ProcessPoolExecutor(max_workers=Nworkers_process) as executor: - B3 = dict( executor.map(regridding_wrapper, B2.items() ) ) - - -# %% saving data -io.save_pandas_table(B2, track_name + '_B01_regridded' , save_path) # all photos but heights adjusted and with distance coordinate -io.save_pandas_table(B3, track_name + '_B01_binned' , save_path) # regridding heights - - -# %% plotting just for checking - -key = 'gt2r' -if plot_flag: - MT.mkdirs_r(plot_path) - Ti2 = B3[key] - T2 = B2[key] - - dl = 4000 - latlims = (Ti2['dist'].iloc[0] , Ti2['dist'].iloc[-1] ) - #chunk_list = np.arange(latlims[0],latlims[1], dl ) - #chunk_list = sample( list(np.arange(latlims[0],latlims[1],dl )[0:80]) ,10) - chunk_list = np.arange(latlims[0],latlims[1], dl )[::10] - chunk_list = np.append( chunk_list, latlims[1]- dl-1) - for ll in chunk_list: - F = M.figure_axis_xy(7, 3, view_scale=0.8) - - plt.plot( T2['dist'], T2['heights_c'], 'k.', markersize= 0.5, alpha =0.8 ) - #plt.plot( ALT07['ref']['latitude'] , ALT07['heights']['height_segment_height'] , 'r.', markersize=0.8, alpha = 1, label ='ALT07 seg. heights') - - plt.plot(Ti2['dist'], Ti2['heights_c_weighted_mean'] +1, '.-', color='darkblue', linewidth=0.5, markersize=2,alpha=0.9, label='x-gauss weighted mean +1') - plt.plot(Ti2['dist'], Ti2['heights_c_median'], 'r.-', linewidth=0.5, markersize=2,alpha=0.9, label='median') - - #plt.plot(Ti2['dist'], Ti2['heights_c_mode']-1, 'g.-', linewidth=0.5, markersize=2,alpha=0.9, label='mode - 1') - - plt.plot(Ti2['dist'], Ti2['heights_c_std'] - 1.8, 'k-', linewidth=0.5,alpha=1) - plt.fill_between( Ti2['dist'], Ti2['heights_c_std'] -1.8 , y2=-1.8, color='gray',alpha=1) - - # plt.plot( ALT03['delta_time'], ALT03['heights_c'], 'k.', markersize= 0.3, alpha =0.2 ) - # plt.plot(ALT07['time']['delta_time'] , ALT07['heights']['height_segment_height'] , 'r.', markersize=0.8, alpha = 1, label ='ALT07 seg. heights') - plt.legend(loc=1) - plt.xlim(ll, ll+dl) - plt.ylim(-6, 6) - - plt.xlabel('Meters from the Sea Ice Edge') - plt.ylabel('Height Anomalie (meters)') - F.ax.axhline(y =-1.8, color='black', linewidth=0.5) - F.save_light(path= plot_path, name='ALT03_filt_compare'+ str(ll)) diff --git a/analysis/B01_filter_regrid_segment_test_regridd.py b/analysis/B01_filter_regrid_segment_test_regridd.py deleted file mode 100644 index dc917dce..00000000 --- a/analysis/B01_filter_regrid_segment_test_regridd.py +++ /dev/null @@ -1,727 +0,0 @@ -import os, sys -#execfile(os.environ['PYTHONSTARTUP']) - -""" -This file open a ICEsat2 track applied filters and corections and returns smoothed photon heights on a regular grid in an .nc file. -This is python 3 -""" -# exec(open(os.environ['PYTHONSTARTUP']).read()) -# exec(open(STARTUP_2019_DP).read()) - -exec(open(os.environ['PYTHONSTARTUP']).read()) -exec(open(STARTUP_2021_IceSAT2).read()) - -import datetime -import h5py -from random import sample -import imp -import ICEsat2_SI_tools.convert_GPS_time as cGPS -import ICEsat2_SI_tools.io as io -from spectral_estimates import create_chunk_boundaries_unit_lengths, create_chunk_boundaries -import spectral_estimates as spec -import m_tools_ph3 as MT -import filter_regrid as regrid - -import concurrent.futures as futures - - - -#import s3fs -#processed_ATL03_20190605061807_10380310_004_01.h5 - -#imp.reload(io) -track_name, batch_key, test_flag = io.init_from_input(sys.argv) # loads standard experiment -#track_name, batch_key, test_flag = '20190605061807_10380310_004_01', 'SH_batch01', False -#track_name, batch_key, test_flag = '20190207234532_06340210_004_01', 'SH_batch02', False -#track_name, batch_key, test_flag = '20190215184558_07530210_004_01', 'SH_batch02', False -#track_name, batch_key, test_flag = '20190219073735_08070210_004_01', 'SH_batch02', False - -track_name, batch_key, test_flag = '20190215184558_07530210_004_01', 'SH_batch02', False - - - -# equatorward track -#track_name, batch_key, test_flag = '20190208154150_06440212_004_01', 'SH_batch02', False - -# poleward track -#track_name, batch_key, test_flag = '20190209150245_06590210_004_01', 'SH_batch02', False -# - -#print(track_name, batch_key, test_flag) -hemis, batch = batch_key.split('_') -#track_name= '20190605061807_10380310_004_01' -ATlevel= 'ATL03' - -load_path = mconfig['paths']['scratch'] +'/'+ batch_key +'/' -load_file = load_path + 'processed_'+ATlevel+'_'+track_name+'.h5' - -save_path = mconfig['paths']['work'] +'/B01_regrid_'+hemis+'/' - -plot_path = mconfig['paths']['plot']+ '/'+hemis+'/'+batch_key+'/'+track_name +'/B01/' -bad_track_path =mconfig['paths']['work'] +'bad_tracks/'+ batch_key+'/' -MT.mkdirs_r(save_path) - -# set pars - -# define parameters: -Lmeter = 20 # stencil length in units of 'dist'; likely in meters the resulting resolution is L/2 -Nphoton_min = 5 # mininum need photons per stancil to return results - -Lmeter_large= 100e3 # stancil width for testing photon density. stancils do not overlab. -minium_photon_density = 0.02 # minimum photon density per meter in Lmeter_large chunk to be counted as real signal - -plot_flag = True -Nworkers = 4 # number of threads for parallel processing -Nworkers_process = 3 # number of threads for parallel processing -# %% -# test which beams exist: -all_beams = mconfig['beams']['all_beams'] -high_beams = mconfig['beams']['high_beams'] -# low_beams = mconfig['beams']['low_beams'] - -f = h5py.File(load_file, 'r') -beams = [b if b in f.keys() else None for b in all_beams] -imp.reload(regrid) -track_poleward = regrid.track_pole_ward_file(f) -print('poleward track is ' , track_poleward) -# Load fata and apply height corrections -# This needs version 2 of the ALT 03 dataset - -# ATL03 = h5py.File(load_file, 'r') - -#ATL03[k+'/heights/ph_id_channel'][0:100] -#accent = regrid.track_type( B[beams_list[0]] ) - - -# %% -hist = 'Beam stats' -B = dict() -B1save = dict() -SEG = dict() -for k in beams: - #k = beams[0] - imp.reload(io) - print(k) - - T, seg = io.getATL03_beam(load_file, beam= k) - - - - print('loaded') - T = T[T['mask_seaice']] # only take sea ice points, no ocean points - - ho = k - ho = MT.add_line_var(ho, 'size', str(T.shape[0])) - ho = MT.add_line_var(ho, 'by confidence levels:' + str(np.arange(0, 5)), [ (T['signal_confidence'] == i).sum() for i in np.arange(0, 5) ]) - - # filter: - Tsel = T[ (T['heights']<100) & (T['heights'] > -100) ]# & (T['delta_time']>5) & (T['delta_time']<24) ] - - # if len(Tsel) == 0: - # ho = MT.add_line_var(ho, 'no photons found', '') - # #Tsel= T[(T['signal_confidence'] ==-1 ) & (T['heights']<100) & (T['heights'] > -100) ]# & (T['delta_time']>5) & (T['delta_time']<24) ] - - Tsel_c = io.getATL03_height_correction(load_file) - Tsel_c = Tsel_c[Tsel_c['dem_h'] < 1e5] # cute out weird references - Tsel2 = regrid.correct_heights(Tsel, Tsel_c).reset_index(drop=True)# correct height - print('height corrected') - - ### cut data at the rear that has too much variance - # cut last segments of data until variance is similar - rear_mask = np.array(Tsel2.index) > -1 # True - shape_old = Tsel2.shape - N_seg= 20 - - cut_flag = True - while cut_flag: - dd= Tsel2['heights_c'][rear_mask] - nsize = dd.size - stencil_iter = create_chunk_boundaries( int(nsize/N_seg), nsize,ov =0, iter_flag=True ) - - def get_var(sti): - return dd[sti[0]: sti[1]].var() - - var_list = np.array(list(map(get_var, stencil_iter))) - #print(var_list) - - if track_poleward: - if var_list[0:3].mean()*10 < var_list[-1]: - #print('cut last '+ str(100/N_seg) +'% of data') - rear_mask[int(nsize* (N_seg-1) / N_seg):] = False - else: - cut_flag = False - else: - if var_list[-3:].mean()*10 < var_list[0]: - #print('cut last '+ str(100/N_seg) +'% of data') - #int(nsize* (N_seg-1) / N_seg) - rear_mask[: int(nsize* 1 / N_seg)] = False - else: - cut_flag = False - - - Tsel2['process_mask'] = rear_mask - B1save[k] = Tsel2 - B[k] = Tsel2[rear_mask].drop(columns='process_mask') - SEG[k] = seg - - ho = MT.add_line_var(ho, 'cutted ', str( np.round( 100 *(rear_mask.size -rear_mask.sum() ) / rear_mask.size, 0)) + '% in the back of the track' ) - ho = MT.add_line_var(ho, 'selected size', str(Tsel.shape[0])) - ho = MT.add_line_var(ho, 'final size ', str(Tsel_c.shape[0])) - print(ho) - - hist = MT.write_log(hist, ho) - -print('done with 1st loop') - -# %% define x- coodindate - -# find earliest segment length that is used. -# this is on the equatorward side for poleward track, or -# on the poleward side for equatorward tracks. - -total_segment_dist_x_min= list() -for k,I in SEG.items(): - total_segment_dist_x_min.append( I['segment_dist_x'].min() ) -total_segment_dist_x_min = min(total_segment_dist_x_min) - - - -# -# -# plt.plot( np.diff( T2.index), '.', markersize = 0.3 ) -# -# plt.plot( np.diff( T.index), '.', markersize = 0.3 ) -# -# T3 = T2 -# plt.plot( np.diff( T3.index), '.', markersize = 0.3 ) -# -# plt.plot(T['delta_time'] , T.index , '.', markersize = 0.3 ) -T = B['gt1r'] -seg = SEG['gt1r'] -T -#T = T.sort_values('lats').reset_index(drop=True) -#T.sort_values('lats') -# find positions where segmetn length is reset -time_ticks = np.insert(np.diff(T['along_track_distance']), 0,0 ) - -#plt.plot(T['along_track_distance'][0:500], '.') - -Ti = T[-500:] -plt.plot(Ti['along_track_distance'], '.') -plt.plot(np.diff(Ti['along_track_distance'])) - - -T -# %% -#Ti = T[10200:10250] -Ti = T[20000:20500] -#Ti = T[20000:20550] - -#plt.plot(Ti['delta_time'], Ti['along_track_distance'], '.') -#plt.plot(Ti['delta_time'], np.insert(np.diff(Ti['along_track_distance']), 0,0 ) ) -delta_onehalf = seg['delta_time'].diff()/2 -delta_onehalf.iloc[0] = delta_onehalf.iloc[1] -seg['delta_half_time']= seg['delta_time'] - delta_onehalf #+ 5e-5 -#seg['delta_half_time']= seg['delta_time'] - seg['delta_time'].diff().mean()/2# - 1e-5 -#seg['segment_length'] -segi =seg[ (Ti['delta_time'].min() - 2 * delta_onehalf <= seg['delta_time'] ) & ( Ti['delta_time'].max() + 3 * delta_onehalf >= seg['delta_time'] ) ] -#segi.shape - -#Ti['ph_id_count'] -#segi['ph_index_beg'] + segi['reference_photon_index'] -1 - -# %% - -# % -plt.plot(Ti['delta_time'], Ti['delta_time'] *0, '.') - -plt.plot( segi['delta_time'], segi['delta_time'] *0 , '.r' ) -plt.plot(Ti['delta_time'], Ti['along_track_distance'], '.') - -# cutting using delta time from segments -for i in segi['delta_time']: - plt.gca().axvline(i, linewidth = 0.5, color= 'black') -plt.plot(Ti['delta_time'], np.digitize(Ti['delta_time'], segi['delta_time'] ) , '.k') - -# cutting usind delta time from segments shifted -for i in segi['delta_half_time']: - plt.gca().axvline(i, linewidth = 0.5, color= 'blue') - -plt.xlabel('delta_time') -#np.digitize(T['delta_time'], T[ time_ticks < - 10 ]['delta_time']) - -# %% - -plt.plot(Ti['delta_time'], Ti['delta_time'] *0, '.') - -plt.plot( segi['delta_time'], segi['delta_time'] *0 , '.r' ) -plt.plot(Ti['delta_time'], Ti['along_track_distance'], '.') - -# cutting usind delta time from segments shifted -for i in segi['delta_half_time']: - plt.gca().axvline(i, linewidth = 0.5, color= 'blue') - -segi['delta_half_time'].max() < Ti['delta_time'].max() - -Ti2 = Ti[ (Ti['delta_time'] > segi['delta_half_time'].iloc[0]) & (Ti['delta_time'] < segi['delta_half_time'].iloc[-1])] -bin_labels = np.digitize( Ti2['delta_time'], segi['delta_half_time'], right = True ) -plt.plot(Ti['delta_time'], bin_labels +5 , '.b') - -Ti2['delta_time0'] = Ti2['delta_time'] - Ti2['delta_time'].min() -Ti2['lats0'] = Ti2['lats'] - Ti2['lats'].max() -for i in np.arange(bin_labels.max()): - print( Ti2[[ 'along_track_distance', 'delta_time0', 'lats0']][bin_labels ==i] ) - -#list(Ti2['delta_time']) -#bin_labels.min() -#bin_labels.max() -repeats.shape - -SS = segi['segment_dist_x'] -repeats = np.bincount(bin_labels, minlength =SS.shape[0]) - -# check if repeats sumup -if repeats.sum() != Ti2.shape[0]: - print('repeats do not sum up') - -SS = SS.repeat(repeats) -SS.index = Ti2.index - -Ti2['x'] = SS + Ti2['along_track_distance'] -#list(SS.repeat(repeats).reset_index(drop=True) - -#segi[segi['ph_index_beg'] != 0]['seg_ID_local'] = list(set(bin_labels)) - -#Tg= Ti.groupby(by= 'seg_ID_local', axis=0, group_keys=seg['delta_time'] ) - -#Tii, segii = Ti.loc[Tg.groups[1]], segi - - -# %% - - - -# %% - -#T2 = Tg.apply(add_seg_length, segi) - -#list(T2['x'] - T2['x'].iloc[0] ) -plt.plot(Ti2['delta_time'], Ti2['x'] , 'b.') -plt.xlabel('delta_time') -#np.digitize(T['delta_time'], T[ time_ticks < - 10 ]['delta_time']) -#x_interp = np.interp(Ti2['delta_time'], segi['delta_time'], segi['segment_dist_x'] ) - -plt.plot( segi['delta_half_time'], segi['segment_dist_x'] + segi['segment_length'] , 'g-' ) -# plt.plot( Ti2['delta_time'], x_interp - x_interp[0], '.' ) - - -def find_anomalie_photons(Ti2, segi): - x_interp = np.interp(Ti2['delta_time'], segi['delta_half_time'], segi['segment_dist_x'] + segi['segment_length']) - - diff_x = x_interp - Ti2['x'] - diff_x = abs(diff_x-diff_x.mean()) - return diff_x > 3 *diff_x.std(), x_interp - -fail_mask, x_interp = find_anomalie_photons(Ti2, segi) - -#Ti3= Ti2[~fail_mask] - -Ti2['x'][fail_mask] = x_interp[fail_mask] - -plt.plot(Ti2['delta_time'], Ti2['x'] , 'r.') - -plt.plot(Ti2['delta_time'][fail_mask], x_interp[fail_mask] , 'g.', markersize= 20) -#plt.plot(Ti2['delta_time'], x_interp , 'g.') - - - - -# %% -# def make_x_coorindate(k): -# -# """ -# Returns the "true" along track coordindate but finding the correpsonding segment length -# also adds the segment_ID to the main table T -# """ -# print(k, ' make coodindate') -# T, seg= B[k], SEG[k] -# -# # make sure data is strictly ordered by delta_time -# T = T.sort_values('delta_time').reset_index(drop=True) -# # find positions where segmetn length is reset -# time_ticks = np.insert(np.diff(T['along_track_distance']), 0,0 ) -# # define separators for photons -# T['seg_ID_local'] = np.digitize(T['delta_time'], T[ time_ticks < - 10 ]['delta_time']) -# # group data by this separation -# Tg= T.groupby(by= 'seg_ID_local', axis=0, group_keys=seg['delta_time'] ) -# -# def add_seg_length(Ti, seg): -# try: -# seg_data = seg[seg['delta_time'] < Ti['delta_time'].iloc[0]].iloc[-1] -# seg_l = seg_data['segment_dist_x'] - total_segment_dist_x_min -# seg_ID = seg_data['segment_id'] -# except: -# seg_l = np.nan -# seg_ID = np.nan -# -# Ti['x'] = seg_l.astype('float64') + Ti['along_track_distance'].astype('float64') -# Ti['seg_ID'] = seg_ID -# return Ti - -# # apply segment addition and return -# return k, Tg.apply(add_seg_length, seg) - - -def make_x_coorindate(k): - - """ - Returns the "true" along track coordindate but finding the correpsonding segment length - also adds the segment_ID to the main table T - """ - print(k, ' make coodindate') - T, seg= B[k], SEG[k] - - # make sure data is strictly ordered by delta_time - T = T.sort_values('delta_time').reset_index(drop=True) - - # find positions where segmetn length is reset - # shifts segment length postions in time - delta_onehalf = seg['delta_time'].diff()/2 - delta_onehalf.iloc[0] = delta_onehalf.iloc[1] - seg['delta_half_time']= seg['delta_time'] - delta_onehalf - 1e-5 - - # cur phontos that are not in segmentns - T2 = T[ (T['delta_time'] > seg['delta_half_time'].iloc[0]) & (T['delta_time'] < seg['delta_half_time'].iloc[-1])] - bin_labels = np.digitize( T2['delta_time'], seg['delta_half_time'], right = True ) - - # select relevant data - SS = seg['segment_dist_x'] - SS_sid = seg['segment_id'] - - repeats = np.bincount(bin_labels, minlength =SS.shape[0]) - - # check if repeats sumup - if repeats.sum() != T2.shape[0]: - print('repeats do not sum up') - - # repeat segment dat accoridng to photons - SS = SS.repeat(repeats) - SS.index = T2.index - SS_sid = SS_sid.repeat(repeats) - SS_sid.index = T2.index - # define new coordinate - T2['x'] = SS + T2['along_track_distance'] - T2['segment_id'] = SS_sid - - # find bad photons - def find_anomalie_photons(Ti2, segi): - x_interp = np.interp(Ti2['delta_time'], segi['delta_time'], segi['segment_dist_x'] ) - - diff_x = x_interp - Ti2['x'] - diff_x = abs(diff_x-diff_x.mean()) - return diff_x > 3 *diff_x.std() , x_interp - - fail_mask, x_interp = find_anomalie_photons(T2, seg) - - print('weird photon fraction:' , sum(fail_mask)/ fail_mask.size) - # aply fail mask - #T2= T2[~fail_mask] - T2['x'][fail_mask] = x_interp[fail_mask] - - return k, T2 - - -#make_x_coorindate(k) - -with futures.ProcessPoolExecutor(max_workers=Nworkers_process) as executor: - A = list( executor.map(make_x_coorindate, all_beams) ) - -# %% -B= dict() -for I in A: # collect returns from from mapping - k = I[0] - B[ k ] = I[1][::-1] - - if ~track_poleward: # invert x- coordinate if there is an equatorward track - B[k] = B[k].reset_index(drop=True) - B[k]['x_true'] = B[k]['x'] - B[k]['x'] = abs(B[k]['x'] - B[k]['x'].iloc[0]) - else: - B[k]['x_true'] = B[k]['x'] - - -dist_list = np.array([np.nan, np.nan]) -for k in B.keys(): - dist_list = np.vstack([ dist_list, [ B[k]['x'].iloc[0] , B[k]['x'].iloc[-1] ] ]) - -del A - -# define latitude limits -# lat_lims, lon_lims, accent = lat_min_max(B, all_beams, accent = None) - - -# %% test ave photon density abnd quit if necessary -track_dist_bounds = [ np.nanmin(dist_list[:, 0], 0) , np.nanmax(dist_list[:, 1], 0) ] -length_meter = abs(track_dist_bounds[1] - track_dist_bounds[0]) -#length_meter = (abs(lat_lims[1]) - abs(lat_lims[0])) * 110e3 -p_densities_r = list() -p_densities_l = list() - -for k, I in B.items(): - if 'r' in k: - p_densities_r.append( I.shape[0] /length_meter) - else: - p_densities_l.append( I.shape[0] /length_meter) - -if (np.array(p_densities_l).mean() < 0.5) & (np.array(p_densities_r).mean() < 0.5): # in photons per meter - print('photon density too low, this track is classified as bad track and pushed to bad list') - MT.json_save(track_name, bad_track_path, {'densities': [ np.array(p_densities_r).mean(), np.array(p_densities_l).mean()] , 'date': str(datetime.date.today()) }) - print('exit.') - exit() - - -# %% save corrected data and delete from cash -#io.save_pandas_table(B1save, track_name + '_B01_corrected' , save_path) # all photos but heights adjusted and with distance coordinate -del B1save - -# for testing -# T2 = B['gt1r'] -# plt.plot( T2['delta_time'] , T2['along_track_distance'] , '.') -# plt.plot(T2['x']) -# for k,I in B.items(): -# plt.plot( I['x'] , I['across_track_distance'] - I[I['seg_ID_local'] == 0]['across_track_distance'].mean(), '.' , markersize = 0.3) -# #plt.xlim(3e6, 3.25e6) -# -# for k,I in B.items(): -# plt.plot( I['x'] , I['across_track_distance'], '.' , markersize = 0.3) -# #plt.xlim(3e6, 3.25e6) - - -# %% -F = M.figure_axis_xy(4, 3, view_scale = 0.7) - - -for k,I in B.items(): - lmask = (I['lats'] > -68.1) & (I['lats'] < -67.7) - plt.plot(I['x'][lmask] - I['x'].iloc[0] , I['lats'][lmask] ,'.' , markersize = 0.2) - - -#plt.xlim(, -67.8) - -plt.xlabel('x') -plt.ylabel('lat') -#F.save_light(path= plot_path, name='B01_ALT03_'+track_name+'_tracks_check_lat_x') - -# %% -F = M.figure_axis_xy(4, 3, view_scale = 0.7) -for k,I in B.items(): - plt.plot( I['delta_time'] , I['lats'], '.' , markersize = 0.3) - - -plt.xlabel('delta time') -plt.ylabel('lat') -F.save_light(path= plot_path, name='B01_ALT03_'+track_name+'_tracks_check_time_lat') -# %% -F = M.figure_axis_xy(4, 3, view_scale = 0.7) - -for k,I in B.items(): - plt.plot( I['delta_time'] , I['x'], '.' , markersize = 0.3) - -plt.xlabel('delta time') -plt.ylabel('x') - -F.save_light(path= plot_path, name='B01_ALT03_'+track_name+'_tracks_check_time_x') - -# %% -##### 1.) derive common axis for beams and filter out low density area at the beginning -print('filter out low density area at the beginning') - -def derive_axis_and_boundaries(key): - #key = 'gt3r' - print(key) - #T2 # = regrid.derive_axis(B[key], lat_lims).sort_values('dist') - T2 = B[key]#['x'] - - x0 = get_better_lower_boundary(Lmeter_large, np.array(T2['x'])) - - print( 'cut off ' , 100 * (1 - T2[T2['x'] > x0].shape[0]/T2.shape[0]) , '% off all data points at the beginning' ) - T2 = T2[T2['x'] >x0] # cut off low density start - - return key, T2, [T2['x'].min(), T2['x'].max()] - -def get_better_lower_boundary(Lmeter_large, dd): - - # T2 = regrid.derive_axis(B[key], lat_lims) - #dd = np.array(T2['x']) - stencil_iter = spec.create_chunk_boundaries_unit_lengths( Lmeter_large, [ dd.min(), dd.max()],ov =0, iter_flag= True) - - def get_density(sti): - return sti[0], sum( (sti[0] <= dd) & (dd < sti[-1]) ) / Lmeter_large - - with futures.ThreadPoolExecutor(max_workers= Nworkers_process) as executor_sub: - #var_list = np.array(list(map(get_density, stencil_iter))) - var_list = np.array(list(executor_sub.map(get_density, stencil_iter))) - - var_list = np.array(var_list) - #var_list[:,0] = np.random.rand(10) - #sort var_list - var_list = var_list[var_list[:,0].argsort(), :] - #print(var_list) - if sum(var_list[:,1] > minium_photon_density) > 1: - first_stencil = next((i for i, j in enumerate(var_list[:,1] > minium_photon_density) if j), None) #- 1 - stencil_iter = spec.create_chunk_boundaries_unit_lengths( Lmeter_large, [ dd.min(), dd.max()],ov =0, iter_flag= False) - return stencil_iter[0, first_stencil] - - else: - #first_stencil = next((i for i, j in enumerate(var_list[:,1] > 0) if j), None)# - 1 - print('no sufficient photon density found. return short stencil') - # first_stencil= len(var_list[:,1]) -1 - # stencil_iter = spec.create_chunk_boundaries_unit_lengths( Lmeter_large, [ dd.min(), dd.max()],ov =0, iter_flag= False) - # return stencil_iter[0, first_stencil] - - # #print(first_stencil) - return var_list[-1,0]#[-1,0] - - -with futures.ProcessPoolExecutor(max_workers=Nworkers_process) as executor: - A = list( executor.map(derive_axis_and_boundaries, all_beams) ) - -# %% -B2 = dict() -dist_list = np.array([np.nan, np.nan]) -for I in A: - k = I[0] - B2[k] = I[1] - #B2[k]['dist'] = B2[k]['x'] - dist_list = np.vstack([dist_list,I[2] ]) - -del A -track_dist_bounds = [ np.nanmin(dist_list[:, 0], 0) , np.nanmax(dist_list[:, 1], 0) ] - -# for testing: -#ts_s = np.copy(track_dist_bounds) - -# %% -xscale= 1e3 -F= M.figure_axis_xy(5, 3, view_scale= 0.6) -for k,I in B2.items(): - plt.plot( I['x']/xscale , I['across_track_distance']/xscale , '.' , markersize = 0.3) - #plt.xlim(3e6, 3.25e6) - - -for k in high_beams: - - Ii = B2[k].iloc[0] - plt.text(Ii.x/xscale+ 5, Ii.across_track_distance/xscale , str(Ii[[ 'lats', 'lons'] ]).split('Name')[0] ) - - Ii = B2[k].iloc[-1] - plt.text(Ii.x/xscale+ 5, Ii.across_track_distance/xscale , str(Ii[[ 'lats', 'lons'] ]).split('Name')[0], ha ='right' ) - -F.ax.axvline(track_dist_bounds[0]/xscale, color='gray', zorder= 2) -F.ax.axvline(track_dist_bounds[1]/xscale, color='gray', zorder= 2) -F.ax.axhline(0, color='gray', zorder= 2) - -plt.title('B01 filter and regrid | ' + track_name +'\npoleward '+str(track_poleward)+' \n \n', loc='left') -plt.xlabel('along track distance (km)') -plt.ylabel('across track distance (km)') - -F.save_light(path= plot_path +'../', name='B01_ALT03_'+track_name+'_tracks_all') - -# %% -# for testing -#track_dist_bounds[1] = track_dist_bounds[0] + (track_dist_bounds[1] - track_dist_bounds[0])/20 -#track_dist_bounds = ts_s[0] ,ts_s[0] + (ts_s[1] - ts_s[0]) /6 - -# %% -#imp.reload(regrid) -##### 2.) regridding and averaging -print('regrid') -def regridding_wrapper(I): - key, Ti = I - print(key, Ti.shape,2* Ti.shape[0]/Lmeter) - stencil_iter = create_chunk_boundaries_unit_lengths( Lmeter, track_dist_bounds, iter_flag=True ) - with futures.ThreadPoolExecutor(max_workers= Nworkers) as executor_sub: - Bi = regrid.get_stencil_stats( Ti, stencil_iter, 'heights_c', 'x' , stancil_width= Lmeter/2, Nphoton_min=Nphoton_min, map_func = executor_sub.map) - #B3[key] = - print(key, 'done') - return key, Bi - - -with futures.ProcessPoolExecutor(max_workers=Nworkers_process) as executor: - B3 = dict( executor.map(regridding_wrapper, B2.items() ) ) - -# %% ---define start and end position and same in Json file - -#I = B3['gt2l'].copy() -D_info = dict() -for k,I in B3.items(): - - # reset x coordinate - I['median_dist'] = I['median_x'] - track_dist_bounds[0] #- Lmeter/2 - I['dist'] = I['x'] - track_dist_bounds[0] #- Lmeter/2 - #I['index'] = I['x'] - # rename y coordinate - I = I.rename(columns={'across_track_distance': 'y'}) - - # find starting and end position - Di_s = dict(I[I['seg_ID'] == I['seg_ID'].iloc[0] ].mean()[['lons', 'lats', 'seg_ID', 'delta_time']]) - Di_s['across_track_distance_0'] =track_dist_bounds[0] - - Di_e = dict(I[I['seg_ID'] == I['seg_ID'].iloc[-1] ].mean()[['lons', 'lats', 'seg_ID', 'delta_time']]) - Di_e['across_track_distance_0'] =track_dist_bounds[0] - - D_info[k] = {'start':Di_s, 'end':Di_e , 'poleward': str(track_poleward) } - - # reorder indexes - column_names = ['index', 'x', 'y', 'median_x', 'lons', 'lats' ,'heights_c_weighted_mean', 'heights_c_median', 'heights_c_std', 'N_photos', ] - vars_ad = set(list(I[I['seg_ID'] == I['seg_ID'].iloc[0] ].mean().index)) - set(column_names) - I = I.reindex(columns=column_names + list(vars_ad)) - - B3[k] = I - - -# save Json -MT.json_save(track_name + '_B01_stats',save_path, D_info, verbose= True ) - -# %% saving data -io.save_pandas_table(B2, track_name + '_B01_regridded' , save_path) # all photos but heights adjusted and with distance coordinate -io.save_pandas_table(B3, track_name + '_B01_binned' , save_path) # regridding heights - - -# %% plotting just for checking -key = 'gt2r' -if plot_flag: - MT.mkdirs_r(plot_path) - Ti2 = B3[key] - T2 = B2[key] - - dl = 4000 - latlims = (Ti2['x'].iloc[0] , Ti2['x'].iloc[-1] ) - #chunk_list = np.arange(latlims[0],latlims[1], dl ) - #chunk_list = sample( list(np.arange(latlims[0],latlims[1],dl )[0:80]) ,10) - chunk_list = np.arange(latlims[0],latlims[1], dl )[::10] - chunk_list = np.append( chunk_list, latlims[1]- dl-1) - for ll in chunk_list: - F = M.figure_axis_xy(7, 3, view_scale=0.8) - - plt.plot( T2['x'], T2['heights_c'], 'k.', markersize= 0.5, alpha =0.8 ) - #plt.plot( ALT07['ref']['latitude'] , ALT07['heights']['height_segment_height'] , 'r.', markersize=0.8, alpha = 1, label ='ALT07 seg. heights') - - plt.plot(Ti2['x'], Ti2['heights_c_weighted_mean'] +1, '.-', color='darkblue', linewidth=0.5, markersize=2,alpha=0.9, label='x-gauss weighted mean +1') - plt.plot(Ti2['x'], Ti2['heights_c_median'], 'r.-', linewidth=0.5, markersize=2,alpha=0.9, label='median') - - #plt.plot(Ti2['x'], Ti2['heights_c_mode']-1, 'g.-', linewidth=0.5, markersize=2,alpha=0.9, label='mode - 1') - - plt.plot(Ti2['x'], Ti2['heights_c_std'] - 1.8, 'k-', linewidth=0.5,alpha=1) - plt.fill_between( Ti2['x'], Ti2['heights_c_std'] -1.8 , y2=-1.8, color='gray',alpha=1) - - # plt.plot( ALT03['delta_time'], ALT03['heights_c'], 'k.', markersize= 0.3, alpha =0.2 ) - # plt.plot(ALT07['time']['delta_time'] , ALT07['heights']['height_segment_height'] , 'r.', markersize=0.8, alpha = 1, label ='ALT07 seg. heights') - plt.legend(loc=1) - plt.xlim(ll, ll+dl) - plt.ylim(-4, 4) - - plt.xlabel('Meters from the Sea Ice Edge') - plt.ylabel('Height Anomalie (meters)') - F.ax.axhline(y =-1.8, color='black', linewidth=0.5) - F.save_light(path= plot_path, name='ALT03_filt_compare'+ str(ll)) diff --git a/analysis/B01_filter_regrid_single.py b/analysis/B01_filter_regrid_single.py deleted file mode 100644 index b2002300..00000000 --- a/analysis/B01_filter_regrid_single.py +++ /dev/null @@ -1,480 +0,0 @@ -import os, sys -#execfile(os.environ['PYTHONSTARTUP']) - -""" -This file open a ICEsat2 track applied filters and corections and returns smoothed photon heights on a regular grid in an .nc file. -This is python 3 -""" -# exec(open(os.environ['PYTHONSTARTUP']).read()) -# exec(open(STARTUP_2019_DP).read()) - -base_path='/Users/Shared/Projects/2021_IceSAT2_tracks/' -sys.path.append(base_path +'modules/') -sys.path.append(base_path +'modules/ICEsat2_SI_tools/') - -import matplotlib.pyplot as plt - - -#import m_general as M -#import m_tools as MT -import numpy as np - -import m_general_ph3 as M -import m_tools_ph3 as MT - -import netCDF4 -import datetime -import os -from netCDF4 import Dataset -import xarray as xr -import pandas as pd -import h5py - -import ICEsat2_SI_tools.convert_GPS_time as cGPS -import ICEsat2_SI_tools.io as io -from spectral_estimates import create_chunk_boundaries_unit_lengths -from random import sample -import imp - -#import s3fs - -# Python reader based on Pandas. Other reader examples available in readers.py -track_name= 'ATL03_20190515060436_07170312_002_02' -load_path = base_path + 'data/data1/' -load_file = load_path + 'processed_'+track_name+'.h5' - -track_name= 'ATL03_20191215230028_12220512_004_01' -track_name= 'ATL03_20210414065545_03121112_004_01' -load_path = base_path + 'data/data4/' -load_file = load_path + 'processed_'+track_name+'.h5' -# %% -track_name= 'ATL03_20200520190502_08440701_003_01' -load_path = base_path + 'modules/read-ICESat-2/scripts/2020.05.20/' -load_file = load_path +track_name+'.h5' - -# %% - -# test which beams exist: -all_beams = ['gt1l', 'gt1r', 'gt2l', 'gt2r', 'gt3l', 'gt3r'] -low_beams = ['gt1l', 'gt2l', 'gt3l'] -high_beams = ['gt1r', 'gt2r', 'gt3r'] - -f = h5py.File(load_file, 'r') -beams = [b if b in f.keys() else None for b in all_beams] - -def correct_heights(T03, T03c, coord = 'delta_time'): - T03['heights_c']= T03['heights'] - np.interp( T03[coord],T03c[coord], T03c['dem_h'] ) - return T03 - -# Load fata and apply height corrections -# This needs version 2 of the ALT 03 dataset -hist= 'Beam stats' -B= dict() -for k in beams: - - T = io.getATL03_beam(load_file, beam= k) - - ho = k - ho = MT.add_line_var(ho, 'size', str(T.shape[0])) - ho = MT.add_line_var(ho, 'by confidence levels:' + str(np.arange(0, 5)), [ (T['signal_confidence'] == i).sum() for i in np.arange(0, 5) ]) - - # filter: - Tsel = T[(T['signal_confidence']>2) & (T['heights']<100) & (T['heights'] > -100) ]# & (T['delta_time']>5) & (T['delta_time']<24) ] - if len(Tsel) == 0: - ho = MT.add_line_var(ho, 'no photons found', '') - Tsel= T[(T['signal_confidence'] ==-1 ) & (T['heights']<100) & (T['heights'] > -100) ]# & (T['delta_time']>5) & (T['delta_time']<24) ] - - - Tsel_c = io.getATL03_height_correction(load_file) - Tsel_c = Tsel_c[Tsel_c['dem_h'] < 1e5] # cute out weird references - B[k] = correct_heights(Tsel, Tsel_c) - - ho = MT.add_line_var(ho, 'selected size', str(Tsel.shape[0])) - ho = MT.add_line_var(ho, 'final size ', str(Tsel_c.shape[0])) - - print(ho) - hist = MT.write_log(hist, ho) - - -# %% -plt.plot( B[k].lats , B[k].heights_c, '.') - -# %% - -def track_type(T): - """ - Returns if track acending or desending - T is a pandas table - """ - #T = B[k] - #T = B[beams_list[0]] - return (T['lats'].iloc[T['delta_time'].argmax()] - T['lats'].iloc[T['delta_time'].argmin()] ) < 0 - -def lat_min_max(B, beams_list): - """ - defines common boundaries for beams_list in B - iunputs: - beams_list list of concidered beams - B is dict of Pandas tables with beams - - returns: - min_lat, max_lat, accent min and max latitudes of the beams, (True/False) True if the track is accending - """ - #B, beams_list = B , high_beams - accent = track_type( B[beams_list[0]] ) - - if B[beams_list[0]]['lats'].iloc[0] < 0: - hemis = 'SH' - else: - hemis = 'NH' - - track_lat_mins, track_lat_maxs= list(), list() - for k in beams_list: - track_lat_mins.append( B[k]['lats'].min() ) - track_lat_maxs.append( B[k]['lats'].max() ) - - if hemis == 'SH': - return max(track_lat_maxs) , min(track_lat_mins), accent - else: - return min(track_lat_mins), max(track_lat_maxs), accent - - -# %% - -def derive_axis(TT, lat_lims = None): - """ - returns TT distance along track 'dist' in meters - input: - TT pandas table with ICEsat2 track data - lat_lims (None) tuple with the global latitude limits used to define local coodinate system - returns: - TT with x,y,dist and order by dist - """ - #TT, lat_lims = B[key], lat_lims_high - # derive distances in meters - r_e= 6.3710E+6 - dy= r_e*2*np.pi/360.0 - #deglon_in_m= np.cos(T2['lats']*np.pi/180.0)*dy - - # either use position of the 1st photon or use defined start latitude - if lat_lims is None: - TT['y']=(TT['lats'].max() - TT['lats']) *dy - else: - TT['y']=(lat_lims[0] - TT['lats']) *dy - - #TT['y'] = (TT['lats']) *dy - - - if (lat_lims[2] == True): - # accending track - lon_min = TT['lons'].max() - else: - # decending track - lon_min = TT['lons'].min() - - #print(lon_min) - TT['x'] = (TT['lons'] - lon_min) * np.cos( TT['lats']*np.pi/180.0 ) * dy - #TT['x'] = (TT['lons'] ) * np.cos( TT['lats']*np.pi/180.0 ) * dy - TT['dist'] = np.sqrt(TT['x']**2 + TT['y']**2) - - # set 1st dist to 0, not used if global limits are used - if lat_lims is None: - TT['dist']= TT['dist']- TT['dist'].min() - else: - TT['dist']= TT['dist']#- lat_lims[0] - - TT=TT.sort_values(by='dist') - return TT - -def reduce_to_height_distance(TT, key, dx=1, lat_lims = None): - """ - interpolates key (photos heights) to regular grid using 'dist' in pandas table TT. - dx is the interpolation interval - lat_lims (None) tuple with the global latitude limits used to define local coodinate system - if None 'dist' min and max are used - - returns: - x1, y1 position, height - """ - from scipy.interpolate import interp1d - if type(dx) is np.ndarray: - x1 = dx - else: - x1 = np.arange(0,TT['dist'].max(), dx) - y1 = np.interp(x1, TT['dist'], TT[key] ) - - return x1, y1 - -# this is not need anymore -def poly_correct(x, y, poly_order=7, plot_flag=False): - - """ - subtracts a fitted polynom to y - inputs: - x,y position, height - poly_order order of polynom - plot_flag if true plots the fit - returns - y' y - polynom fit - """ - z = np.polyfit(x , y , poly_order) - p = np.poly1d(z) - if plot_flag: - plt.plot(x,y, '.', markersize=0.2,) - plt.plot(x, p(x), '-', markersize=0.2,) - #return z - return y - p(x) - - -# define latitude limits -lat_lims_high = lat_min_max(B, high_beams) -lat_lims_low = lat_min_max(B, low_beams) - -##### 1.) derive common axis for beams - -# %% 1st all stong beams -B2=dict() -colors = iter(['red','blue','orange','green','black','yellow']) -dist_list =np.array([np.nan, np.nan]) -for key in high_beams: - T2 = derive_axis(B[key], lat_lims_high) - - # the ends of the tracks are about 600m appart.. i don't know why .. - # this should have no influence on the distrance along the track - #plt.plot( list(T2['x'][-200:]), list(T2['y'][-200:]), c = next(colors)) - #plt.plot( list(T2['x'][15000:15005]), list(T2['y'][15000:15005]), '.', c = next(colors)) - #plt.plot( list(T2['lons'][:2]), list(T2['lats'][:2]), c = next(colors)) - #plt.axis('equal') - - # depreciated - #T2['heights_adjusted'] = poly_correct(T2['dist'], T2['heights']) # 'dist' is length from start position - - # rolling 100 photon window. May have to be replaced by a window of fixed length. - # if rollin window is replaced by fixed lengrh the following step is obsolute. - #T2['heights_smth'] = T2['heights_adjusted'].rolling(100).median() - B2[key] = T2 - dist_list = np.vstack([ dist_list, [T2['dist'].min(), T2['dist'].max()] ]) - - -##### 2.) regridding and averaging -# %% define functions - -def get_mode(y, bins = np.arange(-5,5, 0.1)): - "returns modes of histogram of y defined by bins" - hist, xbin = np.histogram(y, bins = bins ) - return xbin[hist.argmax()] - -def weighted_mean(x_rel, y): - "returns the gaussian weighted mean for stencil" - - def weight_fnk(x): - "returns gaussian weight given the distance to the center x" - return np.exp(- (x/.5)**2 ) - - w = weight_fnk(x_rel) - return (w*y).sum()/w.sum() - - -# this function is applied to beam: -def get_stencil_stats(T2, stencil_iter, key , Nphoton_min = 5): - - """ - T2 pd.DAtaframe with beam data needs at least 'dist' and key - stencil_iter iterable that constains the stancil boundaries and center [left boundary, center, right boundary] - key coloumn index used in T2 - Nphoton_min minimum required photots needed to return meaning full averages - - returns: - pandas DataFrame with the same as T2 but not taken the median of each column - the following columns are also added: - key+ '_weighted_mean' x-weighted gaussian mean of key for each stencil - key+ '_mode' mode of key for each stencil - 'N_photos' Number of Photons for each stencil - key+ '_std' standard deviation for each stencil - - the column 'key' is rename to key+'_median' - - """ - - x_data = T2['dist'] - y_data = T2[key] - # apply this funcion to each stancil - def calc_stencil_stats(istencil): - - "returns stats per stencil" - - i_mask=(x_data >= istencil[0]) & (x_data < istencil[2]) - Nphoton = i_mask.sum() - - if Nphoton < Nphoton_min: - - Tmedian = T2[i_mask].median() - - Tmedian[key+ '_weighted_mean'] = np.nan - #Tmedian[key+ '_mode'] = np.nan - Tmedian['N_photos'] = i_mask.sum() - Tmedian[key+ '_std'] = np.nan - - return istencil[1], Tmedian - - - Tmedian = T2[i_mask].median() - - x_rel = (x_data[i_mask] - istencil[1])/(L/2) - y = y_data[i_mask] - - Tmedian[key+ '_weighted_mean'] = weighted_mean(x_rel, y) - #Tmedian[key+ '_mode'] = get_mode(y) - Tmedian['N_photos'] = i_mask.sum() - Tmedian[key+ '_std'] = y.std() - - return istencil[1], Tmedian - - # apply func to all stancils - D_filt = dict(map(calc_stencil_stats,stencil_iter)) - - DF_filt = pd.DataFrame.from_dict(D_filt, orient='index') - DF_filt = DF_filt.rename(columns={key: key+'_median', 'dist': 'median_dist'}) - DF_filt['dist'] = DF_filt.index - DF_filt = DF_filt.reset_index() - - return DF_filt - - -# %% old version -# define common dist_grid: -#dx= 5 # 2 * resolution in meters, datapoint +-dx are used to take the mean -#dist_grid = np.arange( np.nanmin(dist_list[:, 0], 0) , np.nanmax(dist_list[:, 1], 0), dx ) - -# derive bin means -def bin_means(T2, dist_grid): - dF_mean = pd.DataFrame(index =T2.columns) - ilim = int(len(dist_grid)) - N_i = list() - - for i in np.arange(1,ilim-1, 1): - if i % 5000 ==0: - print(i) - i_mask=(T2['dist'] >= dist_grid[i-1]) & (T2['dist'] < dist_grid[i+1]) - #if ( (T2['dist'] >= dist_grid[i-1]) & (T2['dist'] < dist_grid[i+1]) ).sum() > 0: - dF_mean[i] = T2[i_mask].mean() - #dF_median[i] = T2[i_mask].median() - N_i.append(i_mask.sum()) - - dF_mean = dF_mean.T - dF_mean['N_photos'] = N_i - dF_mean['dist'] = dist_grid[np.arange(1,ilim-1, 1)] - - return dF_mean - -# %% estimating wave length for given period -T = 5 -g= 9.81 -lam = g *T**2 / (2 * np.pi) -print(lam) - -# define parameters: -L = 20 # stencil length in units of 'dist'; likely in meters the resulting resolution is L/2 -Nphoton_min = 5 # mininum need photons per stancil to return results - -G=dict() -B3 = dict() -for key,Ti in B2.items(): - - print(key) - stencil_iter = create_chunk_boundaries_unit_lengths( L, [ np.nanmin(dist_list[:, 0], 0) , np.nanmax(dist_list[:, 1], 0) ], iter_flag=True ) - - Ti2 = get_stencil_stats(Ti, stencil_iter, 'heights_c', Nphoton_min=Nphoton_min) - Ti2['heights_c_median'][ np.isnan(Ti2['heights_c_std']) ]= np.nan # replace median calculation with nans - - B3[key] =Ti2 # store in dict - - # % save relevant data as xarray - # G[key] =xr.DataArray(Ti2['heights_c_median'], coords={'dist': Ti2['dist']}, dims='dist', name=key) - print(key, 'done') - - -# %% saving data -# Gnew = xr.merge(G.values()) -# Gnew.to_netcdf(load_path+'/'+track_name +'_filtered_photon_heights.nc') - -io.save_pandas_table(B2, track_name + '_B01_corrected' , load_path) # all photos but heights adjusted and with distance coordinate -io.save_pandas_table(B3, track_name + '_B01_binned' , load_path) # regridding heights - -# %% plotting just for checking -plot_flag = True -if plot_flag: - - import m_tools_ph3 as MT - plot_path = base_path+'plots/B01_regridding/'+track_name+'/' - MT.mkdirs_r(plot_path) - - - Ti2 = B3[key] - T2 = B2[key] - - dl = 4000 - latlims = (Ti2['dist'].iloc[0] , Ti2['dist'].iloc[-1] ) - for ll in sample( list(np.arange(latlims[0],latlims[1],dl )[0:80]) ,10): - F = M.figure_axis_xy(7, 3, view_scale=0.8) - - plt.plot( T2['dist'], T2['heights_c'], 'k.', markersize= 0.5, alpha =0.8 ) - #plt.plot( ALT07['ref']['latitude'] , ALT07['heights']['height_segment_height'] , 'r.', markersize=0.8, alpha = 1, label ='ALT07 seg. heights') - - plt.plot(Ti2['dist'], Ti2['heights_c_weighted_mean'] +1, '.-', color='darkblue', linewidth=0.5, markersize=2,alpha=0.9, label='x-gauss weighted mean +1') - plt.plot(Ti2['dist'], Ti2['heights_c_median'], 'r.-', linewidth=0.5, markersize=2,alpha=0.9, label='median') - - plt.plot(Ti2['dist'], Ti2['heights_c_mode']-1, 'g.-', linewidth=0.5, markersize=2,alpha=0.9, label='mode - 1') - - plt.plot(Ti2['dist'], Ti2['heights_c_std'] - 1.8, 'k-', linewidth=0.5,alpha=1) - plt.fill_between( Ti2['dist'], Ti2['heights_c_std'] -1.8 , y2=-1.8, color='gray',alpha=1) - - # plt.plot( ALT03['delta_time'], ALT03['heights_c'], 'k.', markersize= 0.3, alpha =0.2 ) - # plt.plot(ALT07['time']['delta_time'] , ALT07['heights']['height_segment_height'] , 'r.', markersize=0.8, alpha = 1, label ='ALT07 seg. heights') - plt.legend(loc=1) - plt.xlim(ll, ll+dl) - plt.ylim(-2, 3) - - plt.xlabel('Meters from the Sea Ice Edge') - plt.ylabel('Height Anomalie (meters)') - F.ax.axhline(y =-1.8, color='black', linewidth=0.5) - F.save_light(path= plot_path, name='ALT03_filt_compare'+ str(ll)) - - -# %% plot -# plot_flag = True -# if plot_flag: -# F = M.figure_axis_xy(5, 6.5, view_scale=0.8) -# -# plt.subplot(2,1 , 1) -# plt.title('Filtered Photon Heights in Sea Ice') -# plt.plot(T2['dist'], T2['heights_c'], 'ko', markersize=1,alpha=0.5) -# -# #plt.plot(T2['dist'], T2['heights_smth'], 'bo', markersize=1, alpha=0.5) -# -# -# plt.plot(x1, y1, '-r', markersize=2) -# #plt.xlim(70000, 80000) -# plt.xlim(140000, 145000) -# plt.xlabel('Meters from the Sea Ice Edge') -# plt.ylabel('Height Anomalie (meters)') -# -# plt.show() -# -# -# F = M.figure_axis_xy(4.5, 3, view_scale=0.8) -# -# #plt.subplot(2,1, 2) -# plt.plot(T2['dist']/1e3, T2['heights_adjusted'], 'ko', markersize=1,alpha=0.5, label='rar data') -# -# #plt.plot(T3['dist']/1e3, T3['heights_smth'], 'bo', markersize=1, alpha=0.5) -# # %% -# plt.plot(x1/1e3, y1, '-r', linewidth=1, label='best estimate') -# #plt.xlim(2*3400/1e3, 2*7000/1e3) -# #plt.xlim(10000, 10500) -# plt.xlabel('km from the Sea Ice Edge') -# plt.ylabel('Height Anomalie (meters)') -# plt.legend() -# # F.save_pup(path=bpath, name='filtered_photon_heights_pup') -# # F.save_light(path=bpath, name='filtered_photon_heights_pup_lght') -# #plt.ylim(5, 12) diff --git a/analysis/B02_make_spectra.py b/analysis/B02_make_spectra.py deleted file mode 100644 index 653b1258..00000000 --- a/analysis/B02_make_spectra.py +++ /dev/null @@ -1,486 +0,0 @@ - -import os, sys -#execfile(os.environ['PYTHONSTARTUP']) - -""" -This file open a ICEsat2 track applied filters and corections and returns smoothed photon heights on a regular grid in an .nc file. -This is python 3 -""" - -exec(open(os.environ['PYTHONSTARTUP']).read()) -exec(open(STARTUP_2021_IceSAT2).read()) - -#%matplotlib inline - -import ICEsat2_SI_tools.convert_GPS_time as cGPS -import h5py -import ICEsat2_SI_tools.io as io -import ICEsat2_SI_tools.spectral_estimates as spec - -import imp -import copy -import spicke_remover -import datetime -import concurrent.futures as futures -#import s3fs -# %% -track_name, batch_key, test_flag = io.init_from_input(sys.argv) # loads standard experiment -#track_name, batch_key, test_flag = '20190605061807_10380310_004_01', 'SH_batch01', False -#track_name, batch_key, test_flag = '20190601094826_09790312_004_01', 'SH_batch01', False -#track_name, batch_key, test_flag = '20190207111114_06260210_004_01', 'SH_batch02', False -#track_name, batch_key, test_flag = '20200512030438_07110710_004_01', 'SH_batch02', False - - -#print(track_name, batch_key, test_flag) -hemis, batch = batch_key.split('_') -#track_name= '20190605061807_10380310_004_01' -ATlevel= 'ATL03' - -load_path = mconfig['paths']['work'] +'/B01_regrid_'+hemis+'/' -load_file = load_path + 'processed_' + ATlevel + '_' + track_name + '.h5' - -save_path = mconfig['paths']['work'] + '/B02_spectra_'+hemis+'/' -save_name = 'B02_'+track_name - -plot_path = mconfig['paths']['plot'] + '/'+hemis+'/'+batch_key+'/' + track_name + '/B_spectra/' -MT.mkdirs_r(plot_path) -MT.mkdirs_r(save_path) -bad_track_path =mconfig['paths']['work'] +'bad_tracks/'+ batch_key+'/' -# %% - -all_beams = mconfig['beams']['all_beams'] -high_beams = mconfig['beams']['high_beams'] -low_beams = mconfig['beams']['low_beams'] -#Gfilt = io.load_pandas_table_dict(track_name + '_B01_regridded', load_path) # rhis is the rar photon data -Gd = io.load_pandas_table_dict(track_name + '_B01_binned' , load_path) # - -Nworkers= 2 - -# %% test amount of nans in the data -nan_fraction= list() -for I in Gd.values(): - nan_fraction.append( np.sum(np.isnan(I['heights_c_std'])) / I['heights_c_std'].shape[0] ) - -if np.array(nan_fraction).mean() > 0.95: - print('nan fraction > 95%, pass this track, add to bad tracks') - MT.json_save(track_name, bad_track_path, {'nan_fraction': np.array(nan_fraction).mean(), 'date': str(datetime.date.today()) }) - print('exit.') - exit() - -# %% test LS with an even grid where missing values are set to 0 -imp.reload(spec) -print(Gd.keys()) -Gi =Gd[ list(Gd.keys())[0] ] # to select a test beam - -# derive spectal limits -# Longest deserved period: -T_max = 40 #sec -k_0 = (2 * np.pi/ T_max)**2 / 9.81 -x= np.array(Gi['dist']) -dx = np.diff(x).mean() -min_datapoint = 1/k_0/dx - -Lpoints = int(np.round(min_datapoint) * 20) -Lmeters =Lpoints * dx - -#plt.plot(np.diff(np.array(Gi['dist']))) -print('L number of gridpoint:', Lpoints) -print('L length in meters:', Lmeters) -print('approx number windows', 2* Gi['dist'].iloc[-1] /Lmeters-1 ) - -wavenumber_k = np.fft.rfftfreq( Lpoints, d=dx) -dk = np.diff(wavenumber_k).mean() - -# %% - -plot_data_model=False -G_LS= dict() -G_rar_fft= dict() -Pars_optm = dict() -#imp.reload(spec) - - -for k in all_beams: - - # ------------------------------- use gridded data - hkey= 'heights_c_weighted_mean' - x = Gd[k]['dist'] - xlims = x.iloc[0], x.iloc[-1] - dd = np.copy(Gd[k][hkey]) - - dd_error = np.copy(Gd[k]['heights_c_std']) - dd_error[np.isnan(dd_error)] = 100 - - - F = M.figure_axis_xy(6, 3) - plt.subplot(2, 1, 1) - plt.plot(x, dd, 'gray', label='displacement (m) ') - - # compute slope spectra !! - dd = np.gradient(dd) - dd, _ = spicke_remover.spicke_remover(dd, spreed=10, verbose=False) - dd_nans = (np.isnan(dd) ) + (Gd[k]['N_photos'] <= 5) - - dd_filled = np.copy(dd) - dd_filled[dd_nans] = 0 - - # using gappy data - dd_no_nans = dd[~dd_nans] # windowing is applied here - x_no_nans = x[~dd_nans] - dd_error_no_nans = dd_error[~dd_nans] - - dx = np.diff(x).mean() - - # outlyers = abs(dd) > dd.std() *5 - # dd= dd[~outlyers] - # x= x[~outlyers] - - plt.plot(x_no_nans, dd_no_nans, 'black', label='slope (m/m)') - plt.legend() - - imp.reload(spec) - print('LS') - - - S = spec.wavenumber_spectrogram_LS( np.array(x_no_nans), np.array(dd_no_nans), Lmeters, dx, dy = None, waven_method = wavenumber_k, ov=None, window=None) - #ThreadPoolExecutor - with futures.ThreadPoolExecutor(max_workers= Nworkers) as executor_sub: - G, PP = S.cal_spectrogram(xlims= xlims, weight_data=True, max_nfev = None , map_func=executor_sub.map) - - S.mean_spectral_error(mask= (G.N_per_stancil != 0).squeeze().data ) - S.parceval(add_attrs= True, weight_data=False) - - if plot_data_model: - for i in np.arange(60,120,2): - c1= 'blue' - c2= 'red' - - xi_1=G.x[i] - xi_2=G.x[i+1] - #if k%2 ==0: - - F = M.figure_axis_xy(16, 2.5) - - plt.plot(G.eta[0:-1] +xi_1, np.fft.irfft(G.sel(x=xi_1).Y_model_hat) ,'-', c=c1, linewidth=0.8, alpha=1, zorder=12) - plt.plot(G.eta[0:-1] +xi_2, np.fft.irfft(G.sel(x=xi_2).Y_model_hat) ,'-', c=c2, linewidth=0.8, alpha=1, zorder=12) - - plt.plot(x, dd, '-', c='k',linewidth=2, alpha =0.6) - #plt.plot(x, dd, '.', c='k',markersize=3, alpha =0.5) - - #plt.plot(x[~dd_nans], dd_error[~dd_nans], '.', c='green',linewidth=1, alpha =0.5) - - F.ax.axvline(xi_1 + G.eta[0].data, linewidth=4, color=c1, alpha=0.5) - F.ax.axvline(xi_1 + G.eta[-1].data, linewidth=4, color=c1, alpha=0.5) - F.ax.axvline(xi_2 + G.eta[0].data, linewidth=4, color=c2, alpha=0.5) - F.ax.axvline(xi_2 + G.eta[-1].data, linewidth=4, color=c2, alpha=0.5) - - plt.text(xi_1 + G.eta[0].data, 0.5, ' N='+ str(G.sel(x=xi_1).N_per_stancil.data) ) - plt.text(xi_2 + G.eta[0].data, 0.5, ' N='+ str(G.sel(x=xi_2).N_per_stancil.data) ) - plt.xlim(xi_1 + G.eta[0].data*1.2, xi_2 + G.eta[-1].data*1.2 ) - - plt.ylim(-1, 1) - plt.show() - - - - # assign beam coordinate - G.coords['beam'] = str(k)#(('beam'), str(k)) - G = G.expand_dims(dim = 'beam', axis = 1) - # repack such that all coords are associated with beam - G.coords['N_per_stancil'] = (('x', 'beam' ), np.expand_dims(G['N_per_stancil'], 1)) - - # add more coodindates to the Dataset - x_coord_no_gaps = spec.linear_gap_fill( Gd[k], 'dist', 'x' ) - y_coord_no_gaps = spec.linear_gap_fill( Gd[k], 'dist', 'y' ) - mapped_coords = spec.sub_sample_coords(Gd[k]['dist'], x_coord_no_gaps, y_coord_no_gaps, S.stancil_iter , map_func = None ) - G = G.assign_coords(x_coord =('x',mapped_coords[:,1] ) ).assign_coords(y_coord =('x',mapped_coords[:,2] ) ) - - lons_no_gaps = spec.linear_gap_fill( Gd[k], 'dist', 'lons' ) - lats_no_gaps = spec.linear_gap_fill( Gd[k], 'dist', 'lats' ) - mapped_coords = spec.sub_sample_coords(Gd[k]['dist'], lons_no_gaps, lats_no_gaps, S.stancil_iter , map_func = None ) - G = G.assign_coords(lon =('x',mapped_coords[:,1] ) ).assign_coords(lat =('x',mapped_coords[:,2] ) ) - - for kkk in ['mean_El', 'mean_Eu']: - G.coords[kkk] = (('k', 'beam' ), np.expand_dims(S.G[kkk], 1)) - - for kkk in ['lon', 'lat', 'x_coord', 'y_coord']: - G.coords[kkk] = (('x', 'beam' ), np.expand_dims(G[kkk], 1)) - - # calculate number data points - def get_stancil_nans(stancil): - x_mask = (stancil[0] < x) & (x <= stancil[-1]) - idata = Gd[k]['N_photos'][x_mask] - return stancil[1], idata.sum() - - photon_list = np.array(list(dict(map( get_stancil_nans, copy.copy(S.stancil_iter) )).values())) - G.coords['N_photons'] = (('x', 'beam' ), np.expand_dims(photon_list, 1)) - - # Save to dict - G_LS[k] = G - Pars_optm[k] = PP - - # plot - plt.subplot(2, 1, 2) - GG = G.LS_spectal_power.squeeze() - plt.plot(GG.k, np.nanmean(GG,1), 'gray', label='mean LS power') - plt.plot(GG.k, np.nanmean(S.G, 1), 'k', label='mean LS power optm') - - - # standard FFT - print('FFT') - dd[dd_nans] = 0 - S = spec.wavenumber_spectrogram(x, dd, Lpoints) - G = S.cal_spectrogram() - S.mean_spectral_error() # add x-mean spectal error estimate to xarray - S.parceval(add_attrs= True) - - # assign beam coordinate - G.coords['beam'] = str(k)#(('beam'), str(k)) - G = G.expand_dims(dim = 'beam', axis = 2) - G.coords['mean_El'] = (('k', 'beam' ), np.expand_dims(G['mean_El'], 1)) - G.coords['mean_Eu'] = (('k', 'beam' ), np.expand_dims(G['mean_Eu'], 1)) - G.coords['x'] = G.coords['x'] * dx # adjust x-coodinate definition - - stancil_iter = spec.create_chunk_boundaries(int(Lpoints), dd_nans.size) - def get_stancil_nans(stancil): - idata = dd_nans[stancil[0]:stancil[-1]] - return stancil[1], idata.size - idata.sum() - - N_list = np.array(list(dict(map( get_stancil_nans, stancil_iter )).values())) - - # repack such that all coords are associated with beam - G.coords['N_per_stancil'] = (('x', 'beam' ), np.expand_dims(N_list, 1)) - - #save to dict - G_rar_fft[k] = G - - # for plotting - G_rar_fft_p =G.squeeze() - plt.plot(G.k, G_rar_fft_p[:, G_rar_fft_p['N_per_stancil'] > 10 ].mean('x'), 'darkblue', label='mean FFT') - #plt.plot(G.k, GG.mean('x'), 'lightblue', label='mean FFT') - plt.legend() - plt.show() - - F.save_light(path=plot_path, name = 'B02_control_'+k+'_' + track_name) - print('saved as '+'B02_control_'+k+'_' + track_name) - print(np.isinf(G).sum().data) - - -# %% - -def dict_weighted_mean(Gdict, weight_key): - """ - returns the weighted meean of a dict of xarray, data_arrays - weight_key must be in the xr.DataArrays - """ - #Gdict = G_LS - # weight_key='N_per_stancil' - - akey = list( Gdict.keys() )[0] - GSUM = Gdict[akey].copy() - GSUM.data = np.zeros(GSUM.shape) - N_per_stancil = GSUM.N_per_stancil * 0 - N_photons = np.zeros(GSUM.N_per_stancil.size) - - counter= 0 - for k,I in Gdict.items(): - I =I.squeeze() - #GSUM += I.where( ~np.isnan(I.squeeze()), 0) * I[weight_key] #.sel(x=GSUM.x) - nan_mask = np.isnan(I) - x_nan_mask = nan_mask.sum('k') != 0 - weights = I[weight_key].where( ~x_nan_mask, 0) - GSUM += I.where( ~nan_mask, 0) * weights - N_per_stancil += weights - if 'N_photons' in GSUM.coords: - N_photons += I['N_photons'] - counter+=1 - - GSUM = GSUM / N_per_stancil /counter - - if 'N_photons' in GSUM.coords: - GSUM.coords['N_photons'] = (('x', 'beam'), np.expand_dims(N_photons, 1) ) - - GSUM['beam'] = ['weighted_mean'] - GSUM.name='power_spec' - - return GSUM - -G_LS_sel = {} -for k,I in G_LS.items(): - G_LS_sel[k] = I['spectral_power_optm'] - -G_LS_wmean = dict_weighted_mean(G_LS_sel, 'N_per_stancil') -G_fft_wmean = dict_weighted_mean(G_rar_fft, 'N_per_stancil') - - -# %% plot -def plot_wavenumber_spectrogram(ax, Gi, clev, title= None, plot_photon_density=True ): - - if Gi.k[0] ==0: - Gi= Gi.sel(k=Gi.k[1:]) - x_lambda= 1/Gi.k - plt.pcolormesh(Gi.x/1e3, x_lambda , Gi, cmap=plt.cm.ocean_r , vmin = clev[0], vmax = clev[-1]) - - ax.set_yscale('log') - # plt.colorbar(orientation='vertical', pad=0.06, label='Spectral Power (m^2/m)') - - if plot_photon_density: - - plt.plot(Gi.x/1e3, x_lambda[-1] + (Gi.N_per_stancil/Gi.N_per_stancil.max() ) * 10 , c='black', linewidth= 0.8, label='NAN-density' ) - plt.fill_between(Gi.x/1e3, x_lambda[-1] + (Gi.N_per_stancil/Gi.N_per_stancil.max() ) * 10, 0, color='gray', alpha = 0.3) - ax.axhline(30, color='black', linewidth=0.3) - - #plt.xlabel('Distance from the Ice Edge (km)') - plt.ylim(x_lambda[-1], x_lambda[0]) - plt.title(title, loc='left') - -#Gplot = G.rolling(x=5, min_periods= 1, center=True).mean() -#Gmean = G_LS_wmean.rolling(x=2, min_periods= 1, center=True).mean() -Gmean = G_LS_wmean.rolling(k=5, center=True).mean() -#Gmean = Gmean.where(~np.isnan(Gmean), 0) - -k_max_range = Gmean.k[Gmean.mean('x').argmax().data].data* 0.75, Gmean.k[Gmean.mean('x').argmax().data].data* 1, Gmean.k[Gmean.mean('x').argmax().data].data* 1.25 - -# %% -font_for_print() -F = M.figure_axis_xy(6.5, 5.6, container= True, view_scale =1) - -plt.suptitle('LS and FFT Slope Spectrograms\n' + track_name, y = 0.98) -gs = GridSpec(3,3, wspace=0.2, hspace=.5)#figure=fig, -#clev=np.arange(0, 6, 0.1)*3 - -#%matplotlib inline -# -clev_log = M.clevels( [0, Gmean.quantile(0.95).data * 1.2], 31)* 1 -#clev_log = M.clevels( [Gmean.quantile(0.01).data, Gmean.quantile(0.99).data * 1], 31)* 1 -xlims= Gmean.x[0]/1e3, Gmean.x[-1]/1e3 - -for pos, k, pflag in zip([gs[0, 0],gs[0, 1],gs[0, 2] ], high_beams, [True, False, False] ): - ax0 = F.fig.add_subplot(pos) - Gplot = G_LS_sel[k].squeeze()#.rolling(k=10, x=2, min_periods= 1, center=True).mean() - #Gplot.mean('x').plot() - - # #plt.pcolormesh(G.x/1e3, 1/G.k , G, norm=colors.LogNorm(vmin=G.min()*1e6, vmax=G.max()), cmap='PuBu')#, vmin = clev[0], vmax = clev[-1]) - # - #np.log(Gplot).plot() - plot_wavenumber_spectrogram(ax0, Gplot, clev_log, title =k, plot_photon_density=True ) - plt.xlim(xlims) - # - if pflag: - plt.ylabel('Wave length\n(meters)') - plt.legend() - -for pos, k, pflag in zip([gs[1, 0],gs[1, 1],gs[1, 2] ], low_beams, [True, False, False] ): - ax0 = F.fig.add_subplot(pos) - Gplot = G_LS_sel[k].squeeze()#.rolling(k=10, x=2, min_periods= 1, center=True).mean() - #Gplot.mean('x').plot() - - # #plt.pcolormesh(G.x/1e3, 1/G.k , G, norm=colors.LogNorm(vmin=G.min()*1e6, vmax=G.max()), cmap='PuBu')#, vmin = clev[0], vmax = clev[-1]) - # - plot_wavenumber_spectrogram(ax0, Gplot, clev_log, title =k, plot_photon_density=True ) - plt.xlim(xlims) - # - if pflag: - plt.ylabel('Wave length\n(meters)') - plt.legend() - - -pos, k, pflag = gs[2, 0], 'Power(weighted mean) \n10 $\log_{10}( (m/m)^2 m )$', True -ax0 = F.fig.add_subplot(pos) -Gplot = G_LS_wmean.squeeze().rolling(k=5, min_periods= 1, center=True).median().rolling(x=3, min_periods= 1, center=True).median() - -dd = 10 * np.log10(Gplot) -dd= dd.where(~np.isinf(dd), np.nan ) - -plot_wavenumber_spectrogram(ax0, dd, clev_log , title =k, plot_photon_density= True) -plt.xlim(xlims) - -# plt.plot(Gplot.x/1e3, 10* nan_list +20 , c='black', label='NAN-density' ) -# ax0.axhline(30, color='black', linewidth=0.5) - -ax0.axhline(1/k_max_range[0], color='red', linestyle= '--', linewidth= 0.5) -ax0.axhline(1/k_max_range[1], color='red', linestyle= '-', linewidth= 0.5) -ax0.axhline(1/k_max_range[2], color='red', linestyle= '--', linewidth= 0.5) - -if pflag: - plt.ylabel('Wave length\n(meters)') - plt.legend() - -pos = gs[2, 1] -ax0 = F.fig.add_subplot(pos) -plt.title('Photons density ($m^{-1}$)', loc='left') - -for k,I in G_LS.items(): - plt.plot(Gplot.x/1e3, I.N_photons/Lmeters, label=k, linewidth=0.8) -plt.plot(Gplot.x/1e3, G_LS_wmean.N_photons/3/Lmeters , c='black', label='ave Photons' , linewidth=0.8) -plt.xlim(xlims) -plt.xlabel('Distance from the Ice Edge (km)') - -pos = gs[2, 2] - -ax0 = F.fig.add_subplot(pos) -ax0.set_yscale('log') - -plt.title('Peak Spectal Power', loc='left') - -for k,I in G_LS_sel.items(): - plt.scatter(I.x.data/1e3, I.sel(k=slice(k_max_range[0], k_max_range[2])).integrate('k').data *1e3 , s=0.5, marker='.', color='red', alpha= 0.3) - -for k,I in G_rar_fft.items(): - I= I.squeeze() - I= I[:,I.N_per_stancil >= I.N_per_stancil.max().data*0.9] - plt.scatter(I.x/1e3, I.sel(k=slice(k_max_range[0], k_max_range[2])).integrate('k') *1e3 , s=0.5, marker='.', c='blue', alpha= 0.3) - - -Gplot= G_fft_wmean.squeeze() -Gplot = Gplot[:,Gplot.N_per_stancil >= Gplot.N_per_stancil.max().data*0.9] -plt.plot(Gplot.x/1e3, Gplot.sel(k=slice(k_max_range[0], k_max_range[2])).integrate('k') *1e3, '.', markersize=1.5 , c='blue', label= 'FFT') - -Gplot= G_LS_wmean.squeeze() -plt.plot(Gplot.x/1e3, Gplot.sel(k=slice(k_max_range[0], k_max_range[2])).integrate('k') *1e3 , '.' , markersize=1.5, c='red', label= 'LS') - -plt.ylabel('1e-3 $(m)^2~m$') -plt.legend() -plt.ylim(Gplot.min()*1.4, Gplot.max()*1.4 ) -plt.xlim(xlims) - -F.save_light(path=plot_path, name = 'B02_specs_' + track_name +'_L'+str(Lmeters)) - - - -# %% save fitting parameters -MT.save_pandas_table(Pars_optm, save_name+'_params', save_path ) - - -# %% repack data -def repack_attributes(DD): - #DD = G_LS - attr_dim_list = list(DD.keys()) - for k in attr_dim_list: - for ka in list(DD[k].attrs.keys()): - I = DD[k] - I.coords[ka] = ( 'beam', np.expand_dims(I.attrs[ka], 0) ) - return DD - -G_LS[G_LS_wmean.beam.data[0]] =G_LS_wmean -G_rar_fft[G_fft_wmean.beam.data[0]] =G_fft_wmean - -G_LS = repack_attributes(G_LS) -G_rar_fft = repack_attributes(G_rar_fft) - - -# %% save results -G_LS_DS = xr.merge(G_LS.values()) -G_LS_DS['name'] = 'LS_power_spectra' -G_LS_DS['Y_model_hat_imag'] = G_LS_DS.Y_model_hat.imag -G_LS_DS['Y_model_hat_real'] = G_LS_DS.Y_model_hat.real -G_LS_DS = G_LS_DS.drop('Y_model_hat') -G_LS_DS.to_netcdf(save_path+save_name+'_LS.nc') - -G_fft_DS = xr.merge(G_rar_fft.values()) -G_fft_DS['name']= 'FFT_power_spectra' -try: - G_fft_DS = G_fft_DS.drop('Y_model_hat') -except: - pass -G_fft_DS.to_netcdf(save_path+save_name+'_FFT.nc') diff --git a/analysis/B02_make_spectra_FFT.py b/analysis/B02_make_spectra_FFT.py deleted file mode 100644 index 15acd9d3..00000000 --- a/analysis/B02_make_spectra_FFT.py +++ /dev/null @@ -1,177 +0,0 @@ -import os, sys -#execfile(os.environ['PYTHONSTARTUP']) - -""" -This file open a ICEsat2 track applied filters and corections and returns smoothed photon heights on a regular grid in an .nc file. -This is python 3 -""" - -exec(open(os.environ['PYTHONSTARTUP']).read()) -exec(open(STARTUP_2021_IceSAT2).read()) - -#base_path='/Users/Shared/Projects/2021_IceSAT2_tracks/' -#sys.path.append(base_path +'modules/') -#sys.path.append(base_path +'modules/ICEsat2_SI_tools/') - -import matplotlib.pyplot as plt -%matplotlib inline - -#import m_general as M -#import m_tools as MT -import numpy as np - -import m_general_ph3 as M - -import netCDF4 -import datetime -import os -from netCDF4 import Dataset -import xarray as xr -import pandas as pd - -import ICEsat2_SI_tools.convert_GPS_time as cGPS -import h5py -import ICEsat2_SI_tools.io as io -import ICEsat2_SI_tools.spectral_estimates as spec - -import imp - - - -#import s3fs -# %% - -# Python reader based on Pandas. Other reader examples available in readers.py -plot_path = mconfig['paths']['plot'] + '/tests/' - - -track_name= 'ATL03_20190515060436_07170312_002_02' -load_path = base_path + 'data/data1/' - -# test which beams exist: -all_beams = ['gt1l', 'gt1r', 'gt2l', 'gt2r', 'gt3l', 'gt3r'] -low_beams = ['gt1l', 'gt2l', 'gt3l'] -high_beams = ['gt1r', 'gt2r', 'gt3r'] - -# %% -Gall= xr.open_dataset(load_path+'/'+track_name +'_filtered_photon_heights.nc') - -# Gmask = Gall.dist *0 -# for k in Gall.var(): -# -# #print( (np.isnan( Gall[k] )).sum().load().data ) -# Gmask+= Gall[k] -# -# print( (np.isnan( Gmask )).sum().load().data ) -# -# #io.save_pandas_table(B3, track_name + '_filted' , load_path) -# -# # %% fake time axis -# dx = np.diff(Gmask.dist.data)[0] -# from scipy.ndimage.measurements import label -# -# nan_mask = np.isnan(Gmask) -# lfields = label(~nan_mask ) -# -# for i in np.arange(1,lfields[1]+1): -# if sum(dx*(lfields[0] ==i)) > 6e2: -# plt.plot( nan_mask.dist[ lfields[0] ==i ] ) - -# %% -L=600 # meters -imp.reload(spec) - -G2= dict() -for k in high_beams: - Gall[k+'_nans'] = np.isnan(Gall[k]) - Gall[k][Gall[k+'_nans']] = 0 - Gsel = Gall[k] - dd = (Gsel -Gsel.mean('dist')) - dd = np.gradient(dd) - #np.isnan(dd).sum() - S = spec.wavenumber_spetrogram(Gsel.dist, dd, L) - G = S.cal_spectrogram() - S.mean_spectral_error() # add x-mean spectal error estimate to xarray - - S.parceval(add_attrs= True) - - - stancil_iter = spec.create_chunk_boundaries(L, Gall[k+'_nans'].size) - def get_stancil_nans(stancil): - idata = Gall[k+'_nans'][stancil[0]:stancil[-1]] - return stancil[1], idata.sum().data/idata.size - - nan_list = np.array(list(dict(map( get_stancil_nans, stancil_iter )).values())) - - G2[k] = G - G2[k].coords['nan_density'] = (('x'), nan_list) - - -#plt.plot(G) -# %% -#Gplot = G.rolling(x=5, min_periods= 1, center=True).mean() -Gplot = G.rolling(k=10, x=2, min_periods= 1, center=True).mean() - -import matplotlib.colors as colors -from matplotlib.gridspec import GridSpec - -font_for_print() -F = M.figure_axis_xy(6.5, 5.6, container= True, view_scale =0.8) - -plt.suptitle('FFT with gaps =0', y = 0.95) -gs = GridSpec(3,3, wspace=0.1, hspace=0.7)#figure=fig, -clev=np.arange(0, 6, 0.1) - -for pos, k, pflag in zip([gs[0, 0],gs[0, 1],gs[0, 2] ], high_beams, [True, False, False] ): - ax0 = F.fig.add_subplot(pos) - Gplot = G2[k]#.rolling(k=10, x=2, min_periods= 1, center=True).mean() - - #plt.pcolormesh(G.x/1e3, 1/G.k , G, norm=colors.LogNorm(vmin=G.min()*1e6, vmax=G.max()), cmap='PuBu')#, vmin = clev[0], vmax = clev[-1]) - - plt.pcolormesh(Gplot.x/1e3, 1/Gplot.k , Gplot, cmap='PuBu', vmin = clev[0], vmax = clev[-1]) - - plt.gca().set_yscale('log') - # plt.colorbar(orientation='vertical', pad=0.06, label='Spectral Power (m^2/m)') - plt.xlabel('Distance from the Ice Edge (km)') - plt.ylim(20,800) - plt.title(k, loc='left') - - plt.plot(Gplot.x/1e3, 10* nan_list +20 , c='black', label='NAN-density' ) - ax0.axhline(30, color='black', linewidth=0.5) - - if pflag: - plt.ylabel('Wave length\n(meters)') - plt.legend() - - -G3_sum = G2[k]*0 -G3_sum['nan_density'] =0 -for k in high_beams: - G3_sum += G2[k] - -G3_sum= G3_sum/3 -G3_sum['nan_density'] =G3_sum['nan_density']/3 - - -pos, k, pflag = gs[1, 0], 'mean', True -ax0 = F.fig.add_subplot(pos) -Gplot = G3_sum.rolling(k=10, x=2, min_periods= 1, center=True).mean() - -#plt.pcolormesh(G.x/1e3, 1/G.k , G, norm=colors.LogNorm(vmin=G.min()*1e6, vmax=G.max()), cmap='PuBu')#, vmin = clev[0], vmax = clev[-1]) - -plt.pcolormesh(Gplot.x/1e3, 1/Gplot.k , Gplot, cmap='PuBu', vmin = clev[0], vmax = clev[-1]) - -plt.gca().set_yscale('log') -# plt.colorbar(orientation='vertical', pad=0.06, label='Spectral Power (m^2/m)') -plt.xlabel('Distance from the Ice Edge (km)') -plt.ylim(20,800) -plt.title(k, loc='left') - -plt.plot(Gplot.x/1e3, 10* nan_list +20 , c='black', label='NAN-density' ) -ax0.axhline(30, color='black', linewidth=0.5) - -if pflag: - plt.ylabel('Wave length\n(meters)') - plt.legend() - -F.save_light(path=plot_path, name='exmpl_spec_FFT_strong') diff --git a/analysis/B02_make_spectra_LS.py b/analysis/B02_make_spectra_LS.py deleted file mode 100644 index 26848269..00000000 --- a/analysis/B02_make_spectra_LS.py +++ /dev/null @@ -1,497 +0,0 @@ -import os, sys -#execfile(os.environ['PYTHONSTARTUP']) - -""" -This file open a ICEsat2 track applied filters and corections and returns smoothed photon heights on a regular grid in an .nc file. -This is python 3 -""" - -exec(open(os.environ['PYTHONSTARTUP']).read()) -exec(open(STARTUP_2021_IceSAT2).read()) - -base_path='/Users/Shared/Projects/2021_IceSAT2_tracks/' -sys.path.append(base_path +'modules/') -sys.path.append(base_path +'modules/ICEsat2_SI_tools/') - -import matplotlib.pyplot as plt -%matplotlib inline - -#import m_general as M -#import m_tools as MT -import numpy as np - -import m_general_ph3 as M - -import netCDF4 -import datetime -import os -from netCDF4 import Dataset -import xarray as xr -import pandas as pd - -import ICEsat2_SI_tools.convert_GPS_time as cGPS -import h5py -import ICEsat2_SI_tools.io as io -import ICEsat2_SI_tools.spectral_estimates as spec - -import imp - - - -#import s3fs -# %% - -# Python reader based on Pandas. Other reader examples available in readers.py -plot_path = mconfig['paths']['plot'] + '/tests/' - - -track_name= 'ATL03_20190515060436_07170312_002_02' -load_path = base_path + 'data/data1/' - -# test which beams exist: -all_beams = ['gt1l', 'gt1r', 'gt2l', 'gt2r', 'gt3l', 'gt3r'] -low_beams = ['gt1l', 'gt2l', 'gt3l'] -high_beams = ['gt1r', 'gt2r', 'gt3r'] - -# %% - -#Gall= xr.open_dataset(load_path+'/'+track_name +'_filtered_photon_heights.nc') -imp.reload(io) -Gfilt = io.load_pandas_table_dict(track_name + '_B01_corrected', load_path) -Gd = io.load_pandas_table_dict(track_name + '_B01_binned' , load_path) - -# %% -Gi =Gd[high_beams[0]] -Gi = Gi[~np.isnan(Gi['heights_c_weighted_mean'])].sort_values('dist') -#np.isnan(Gi['dist']).sum() -Gi = Gi[(Gi['dist'] > 140000) & (Gi['dist'] < 160001)] - -# %% - -plt.plot( Gi['dist'], Gi['heights_c_weighted_mean'], '-') -#plt.xlim(140000, 145000) -plt.ylim(-1, 1) - -#np.diff(np.array(Gi['dist'])) -# %% test and compare to FFT -from scipy.signal import detrend -y =detrend(np.array(Gi['heights_c_weighted_mean']) ) -f_fft2, df2 = spec.calc_freq_fft( np.array(Gi['dist']), y.size) -spec_fft2 = spec.calc_spectrum_fft(y, df2, np.array(Gi['dist']).size) -f_fft2_regular, spec_fft2_regular = f_fft2, spec_fft2 - - -# %% simple spectra -from astropy.timeseries import LombScargle -ls = LombScargle( np.array(Gi['dist']) , np.array(Gi['heights_c_weighted_mean']) ) - -ls_auto_power = ls.power(f_fft2 , normalization='psd') -#ls_auto_f , ls_auto_power = ls.autopower(normalization='psd', samples_per_peak=0.1) - -plt.plot(f_fft2 , spec.LS_power_to_PSD(ls_auto_power, y.size, df2) ) - -plt.plot(f_fft2, spec_fft2 ) -plt.xlim(0, 0.01) - -# %% tests -# maximum to be resolved wavenumber -T = 40 #sec -k_0 = (2 * np.pi/ T)**2 / 9.81 - -1/k_0 -x= np.array(Gi.index) -dt = np.diff(x).mean() -#dt = np.diff(np.array(Gi['dist'])).mean() -min_datapoint = 1/k_0/dt -L = int(np.round(min_datapoint) * 10) -S_pwelch_fft = spec.wavenumber_spectrogram(x , np.array(Gi['heights_c_weighted_mean']), L) -G_pwelch_fft = S_pwelch_fft.cal_spectrogram() - - -S_pwelch_ls = spec.wavenumber_spectrogram(x, np.array(Gi['heights_c_weighted_mean']), L) -G_pwelch_fft = S_pwelch_fft.cal_spectrogram() - -# %% -imp.reload(spec) -y =detrend(np.array(Gi['heights_c_weighted_mean']) ) - - -S_pwelch_k, S_pwelch_dk = spec.calc_freq_LS( x, L, method='fftX2', minimum_frequency=None, maximum_frequency=None, samples_per_peak=0.5) - -S_pwelch_ls = spec.wavenumber_spectrogram_LS_even(x, y, L, waven_method = S_pwelch_k , dy=None , ov=None, window=None, kjumps=2) -G_pwelch_ls = S_pwelch_ls.cal_spectrogram() -S_pwelch_ls.parceval() -plt.plot(G_pwelch_ls.k , G_pwelch_ls.mean('x') ) -plt.plot(G_pwelch_fft.k , G_pwelch_fft.mean('x') , 'k') - - -plt.xlim(0, 0.02) - - -# %% test LS with an even grid where missing values are set to 0 -imp.reload(spec) - -Gi =Gd[high_beams[0]] -#Gi = Gi[~np.isnan(Gi['heights_c_weighted_mean'])].sort_values('dist') -# derive spectal limits -T_max = 50 #sec -k_0 = (2 * np.pi/ T_max)**2 / 9.81 -x= np.array(Gi.index) -dx = np.diff(x).mean() -min_datapoint = 1/k_0/dx -L = int(np.round(min_datapoint) * 20) - -plt.plot(np.diff(np.array(Gi['dist']))) - -print(L) -print(L*dx) -print(Gi['dist'].iloc[-1] /L ) - -S_pwelch_k, S_pwelch_dk = spec.calc_freq_LS( x, L, dx= dx, method='fftX2', minimum_frequency=None, maximum_frequency=None, samples_per_peak=0.01) -hkey= 'heights_c_weighted_mean' -G2= dict() -for k in high_beams: - - x= Gd[k].index - dd =Gd[k][hkey] - dd_nans = np.isnan(dd) - dd= dd[~dd_nans] - x= x[~dd_nans] - dd = (dd -dd.mean()) - #dd = np.gradient(dd) - #np.isnan(dd).sum() - S = spec.wavenumber_spectrogram_LS_even( np.array(x), np.array(dd), L, waven_method = S_pwelch_k , dy=None , ov=None, window=None, kjumps=2) - G = S.cal_spectrogram() - S.mean_spectral_error() # add x-mean spectal error estimate to xarray - S.parceval(add_attrs= True) - - G['x'] = G.x * dx - - stancil_iter = spec.create_chunk_boundaries(L, np.array(dd).size) - def get_stancil_nans(stancil): - idata = Gd[k]['N_photos'][stancil[0]:stancil[-1]] - return stancil[1], idata.sum() - - photon_list = np.array(list(dict(map( get_stancil_nans, stancil_iter )).values())) - - G2[k] = G - G2[k].coords['N_photos'] = (('x'), photon_list) - - - -# %% -font_for_pres() - -plt.plot(G.k, G.mean('x')) -# %% -#Gplot = G.rolling(x=5, min_periods= 1, center=True).mean() -Gplot = G.rolling(k=10, x=2, min_periods= 1, center=True).mean() - -import matplotlib.colors as colors -from matplotlib.gridspec import GridSpec - -font_for_print() -F = M.figure_axis_xy(6.5, 5.6, container= True, view_scale =0.8) - -plt.suptitle('LS on regular grid', y = 0.95) -gs = GridSpec(3,3, wspace=0.1, hspace=0.7)#figure=fig, -#clev=np.arange(0, 6, 0.1)*3 -clev = M.clevels(Gplot.data, 31)* 0.8 - - -for pos, k, pflag in zip([gs[0, 0],gs[0, 1],gs[0, 2] ], high_beams, [True, False, False] ): - ax0 = F.fig.add_subplot(pos) - Gplot = G2[k]#.rolling(k=10, x=2, min_periods= 1, center=True).mean() - - #plt.pcolormesh(G.x/1e3, 1/G.k , G, norm=colors.LogNorm(vmin=G.min()*1e6, vmax=G.max()), cmap='PuBu')#, vmin = clev[0], vmax = clev[-1]) - - plt.pcolormesh(Gplot.x/1e3, 1/Gplot.k , Gplot, cmap=plt.cm.ocean_r, vmin = clev[0], vmax = clev[-1]) - - plt.gca().set_yscale('log') - # plt.colorbar(orientation='vertical', pad=0.06, label='Spectral Power (m^2/m)') - plt.xlabel('Distance from the Ice Edge (km)') - plt.ylim(20,L*dx/2) - plt.title(k, loc='left') - - # plt.plot(Gplot.x/1e3, 10* nan_list +20 , c='black', label='NAN-density' ) - # ax0.axhline(30, color='black', linewidth=0.5) - - if pflag: - plt.ylabel('Wave length\n(meters)') - plt.legend() - - -G3_sum = G2[k]*0 -G3_sum['N_photos'] = G3_sum['N_photos']*0 -G3_sum= G3_sum.sel(x=slice(G3_sum.x[0],G3_sum.x[-3]) ) - -for k in high_beams: - G3_sum += G2[k].sel(x=G3_sum.x) - G3_sum['N_photos'] += G2[k].sel(x=G3_sum.x)['N_photos'] - -G3_sum= G3_sum/3 -G3_sum['N_photos'] =G3_sum['N_photos']/3 - - -pos, k, pflag = gs[1, 0], 'mean', True -ax0 = F.fig.add_subplot(pos) -Gplot = G3_sum.rolling(k=5, x=2, min_periods= 1, center=True).mean() - -#plt.pcolormesh(G.x/1e3, 1/G.k , G, norm=colors.LogNorm(vmin=G.min()*1e6, vmax=G.max()), cmap='PuBu')#, vmin = clev[0], vmax = clev[-1]) - -plt.pcolormesh(Gplot.x/1e3, 1/Gplot.k , Gplot, cmap=plt.cm.ocean_r, vmin = clev[0], vmax = clev[-1]) - -plt.gca().set_yscale('log') -# plt.colorbar(orientation='vertical', pad=0.06, label='Spectral Power (m^2/m)') -plt.xlabel('Distance from the Ice Edge (km)') -plt.ylim(20,L*dx/2) -plt.title(k, loc='left') - -# plt.plot(Gplot.x/1e3, 10* nan_list +20 , c='black', label='NAN-density' ) -# ax0.axhline(30, color='black', linewidth=0.5) - -if pflag: - plt.ylabel('Wave length\n(meters)') - plt.legend() - - -pos = gs[1, 1] -ax0 = F.fig.add_subplot(pos) -plt.title('ave photon per chunk') -plt.plot(Gplot.x/1e3, Gplot.N_photos , c='black') - - -pos = gs[1, 2] -ax0 = F.fig.add_subplot(pos) - -plt.title('spectal power decay') -plt.plot(Gplot.x/1e3, Gplot.sel(k=slice(1/500, 1/100)).integrate('k') , c='black') - -F.save_light(path=plot_path, name='exmpl_spec_LS_strong_L'+str(L*dx)) - - -# %% rar photon data - -Gi = Gfilt[high_beams[0]] -Gi = Gi[(Gi['dist'] > 140000) & (Gi['dist'] < 160001)] - -plt.plot( Gi['dist'], Gi['heights_c_weighted_mean'], '.', alpha= 0.2) -#plt.xlim(140000, 145000) -plt.ylim(-1, 1) - -#np.diff(np.array(Gi['dist'])) -# %% -from scipy.signal import detrend -y =detrend(np.array(Gi['heights']) ) -f_fft2, df2 = spec.calc_freq_fft( np.array(Gi['dist']), y.size) -f_fft2 = f_fft2[1:] -spec_fft2 = spec.calc_spectrum_fft(y, df2, np.array(Gi['dist']).size) - - - -# %% simple spectra -from astropy.timeseries import LombScargle -ls = LombScargle( np.array(Gi['dist']) , np.array(Gi['heights']) ) - -ls_power = ls.power(f_fft2_regular[1::1] , normalization='psd') -plt.plot(f_fft2_regular[1::1] , (spec.LS_power_to_PSD(ls_power, y.size, df2)) , 'r', zorder=12) - -# ls_auto_f , ls_auto_power = ls.autopower(normalization='psd', samples_per_peak=0.1) -# plt.plot(ls_auto_f , spec.LS_power_to_PSD(ls_auto_power, y.size, df2) , 'r', zorder=12) - -#plt.plot(f_fft2, spec_fft2 ) -plt.plot(f_fft2_regular, spec_fft2_regular, 'k-' ) - -plt.xlim(0, 0.01) -plt.ylim(0, 80) - - - - - - - - - - - - - -# %% ueven version - -font_for_pres() - -Gi = Gfilt[high_beams[0]] -dist_diffs= Gi.sort_values('dist')['dist'].diff() -dist_diffs.median() - - -imp.reload(spec) - -# derive spectal limits -T_max = 30 #sec -k_0 = (2 * np.pi/ T_max)**2 / 9.81 - -x = np.array(Gi.sort_values('dist')['dist']) -xdiff = np.diff(x) -xdiff = xdiff[xdiff< .1] - -#plt.hist( xdiff, bins= 40 ) -dx =np.mean(xdiff)*1e2 -#dx = 0.01#dist_diffs.median() #np.diff(np.array(Gi['dist'])).mean() -1/dx -min_datapoint = 1/k_0/dx -longest_wavelength= 1/k_0 # meters - -Lmeters = int(np.round(longest_wavelength) * 20) -print(Lmeters) -print(Gi['dist'].max()/ Lmeters ) - -# -shortest_wavenumber = 1/2 # 2 meter wave -desired_dx = 1/shortest_wavenumber - -Lpoints = Lmeters / dx -print(Lpoints) -Gi.shape[0]/ Lpoints - -S_pwelch_k, S_pwelch_dk = spec.calc_freq_LS( None, Lmeters, method='fixed_ratio', dx= dx) - -S_pwelch_k, S_pwelch_dk = spec.calc_freq_LS( np.array(Gi['dist']), Lpoints, method='LS_auto', minimum_frequency=f_fft2_regular[1], maximum_frequency=f_fft2_regular[-1], samples_per_peak=0.1) - -S_pwelch_k[-1] -S_pwelch_k[0] -S_pwelch_k.size - -#f_regular, df2 = spec.calc_freq_fft_given_dx(desired_dx,Lmeters) -f_regular = np.linspace(k_0/100, 0.1, 300) - -#f_regular = 1/np.linspace(1/shortest_wavenumber, 10/k_0, 1000)[::-1] - -dk = np.diff(f_regular).mean() -f_regular[1:].size -f_regular[-1] - -G2= dict() -#k = high_beams[0] -for k in high_beams: - Gi = Gfilt[k] - # for testing amplitude - #Gi = Gi[(Gi['dist'] > 140000) & (Gi['dist'] < 160001)] - #Gi['nans'] = np.isnan(Gi['heights']) - #Gall[k][Gall[k+'_nans']] = 0 - #Gsel = Gi[~Gall[k+'_nans']] - dd = np.array( Gi['heights'] - Gi['heights'].mean() ) - #dd = np.gradient(dd) - #np.isnan(dd).sum() - S = spec.wavenumber_spectrogram_LS(np.array(Gi.dist), dd, Lmeters, waven_method = f_regular , dy=None , ov=None, window=None, kjumps=1) - G = S.cal_spectrogram() - S.mean_spectral_error() # add x-mean spectal error estimate to xarray - S.parceval(add_attrs= True) - - G2[k] = G - - -font_for_pres() - -plt.plot(G.k, G, 'b', alpha = 0.2) -plt.plot(G.k, G.mean('x'), 'r-' ) - -# for testing amplitude -# !!!! vanriance is not conserved yet !!! -plt.plot(f_fft2_regular, spec_fft2_regular, 'k-' ) -plt.xlim(0, 0.01) -plt.ylim(0, 40) - -# %% - -font_for_pres() - -plt.plot(G.k, G.mean('x')) -# %% -#Gplot = G.rolling(x=5, min_periods= 1, center=True).mean() -Gplot = G.rolling(k=10, x=2, min_periods= 1, center=True).mean() -# %% -import matplotlib.colors as colors -from matplotlib.gridspec import GridSpec - -font_for_print() -F = M.figure_axis_xy(6.5, 5.6, container= True, view_scale =0.8) - -plt.suptitle('LS on uneven grid (dx= '+ str(int(np.diff(Gplot.x).mean())) +' m)', y = 0.95) -gs = GridSpec(3,3, wspace=0.1, hspace=0.7)#figure=fig, -#clev=np.arange(0, 6, 0.1)*3 -clev = M.clevels(Gplot.data, 31)* 0.9 - - -for pos, k, pflag in zip([gs[0, 0],gs[0, 1],gs[0, 2] ], high_beams, [True, False, False] ): - ax0 = F.fig.add_subplot(pos) - Gplot = G2[k]#.rolling(k=10, x=2, min_periods= 1, center=True).mean() - - #plt.pcolormesh(G.x/1e3, 1/G.k , G, norm=colors.LogNorm(vmin=G.min()*1e6, vmax=G.max()), cmap='PuBu')#, vmin = clev[0], vmax = clev[-1]) - ax0.set_yscale('log') - #plt.pcolormesh(Gplot.x/1e3, 1/Gplot.k , Gplot, cmap=plt.cm.ocean_r) - plt.pcolormesh(Gplot.x/1e3, 1/Gplot.k , Gplot, cmap=plt.cm.ocean_r, vmin = clev[0], vmax = clev[-1]) - - #plt.gca().set_yscale('log') - # plt.colorbar(orientation='vertical', pad=0.06, label='Spectral Power (m^2/m)') - - plt.xlabel('Distance from the Ice Edge (km)') - plt.ylim(20,Lmeters/2) - plt.title(k, loc='left') - - - #ax0.axhline(30, color='black', linewidth=0.5) - - if pflag: - plt.ylabel('Wave length\n(meters)') - plt.legend() - - -k= high_beams[0] -G3_sum = G2[k]*0 -N_grid=G2[k]*0 -x_common =G2[k].x -for k in high_beams: - gii = G2[high_beams[0]] - N_grid +=~np.isnan(gii) - G3_sum += gii.where(~np.isnan(gii), 0).interp(x = x_common) - -G3_sum= G3_sum/N_grid - - -pos, k, pflag = gs[1, 0], 'mean', True -ax0 = F.fig.add_subplot(pos) -Gplot = G3_sum.rolling(k=5, x=5, min_periods= 1, center=True).mean() - -#plt.pcolormesh(G.x/1e3, 1/G.k , G, norm=colors.LogNorm(vmin=G.min()*1e6, vmax=G.max()), cmap='PuBu')#, vmin = clev[0], vmax = clev[-1]) - -plt.pcolormesh(Gplot.x/1e3, 1/Gplot.k , Gplot, cmap=plt.cm.ocean_r, vmin = clev[0], vmax = clev[-1]) - -plt.gca().set_yscale('log') -# plt.colorbar(orientation='vertical', pad=0.06, label='Spectral Power (m^2/m)') -plt.xlabel('Distance from the Ice Edge (km)') -plt.ylim(20,Lmeters/2) -plt.title(k, loc='left') - -#plt.plot(Gplot.x/1e3, 10* nan_list +20 , c='black', label='NAN-density' ) -ax0.axhline(30, color='black', linewidth=0.5) - - -if pflag: - plt.ylabel('Wave length\n(meters)') - plt.legend() - - -pos = gs[1, 1] -ax0 = F.fig.add_subplot(pos) -plt.title('mean # of datapoints / chunk (1e3)') -plt.plot(Gplot.x/1e3, Gplot.N_per_sample/1e3 , c='black') - -pos = gs[1, 2] -ax0 = F.fig.add_subplot(pos) - -plt.title('spectal power decay') -plt.plot(Gplot.x/1e3, Gplot.sel(k=slice(1/500, 1/100)).integrate('k') , c='black') - -F.save_light(path=plot_path, name='exmpl_spec_LS_uneven_strong') diff --git a/analysis/B02_make_spectra_LS_new.py b/analysis/B02_make_spectra_LS_new.py deleted file mode 100644 index b70ad1d8..00000000 --- a/analysis/B02_make_spectra_LS_new.py +++ /dev/null @@ -1,326 +0,0 @@ -import os, sys -#execfile(os.environ['PYTHONSTARTUP']) - -""" -This file open a ICEsat2 track applied filters and corections and returns smoothed photon heights on a regular grid in an .nc file. -This is python 3 -""" - -exec(open(os.environ['PYTHONSTARTUP']).read()) -exec(open(STARTUP_2021_IceSAT2).read()) - -base_path='/Users/Shared/Projects/2021_IceSAT2_tracks/' -sys.path.append(base_path +'modules/') -sys.path.append(base_path +'modules/ICEsat2_SI_tools/') - -import matplotlib.pyplot as plt -%matplotlib inline - -#import m_general as M -#import m_tools as MT -import numpy as np - -import m_general_ph3 as M -import spicke_remover - -import netCDF4 -import datetime -import os -from netCDF4 import Dataset -import xarray as xr -import pandas as pd - -import ICEsat2_SI_tools.convert_GPS_time as cGPS -import h5py -import ICEsat2_SI_tools.io as io -import ICEsat2_SI_tools.spectral_estimates as spec - -import imp -import copy - -import matplotlib.colors as colors -from matplotlib.gridspec import GridSpec - - -#import s3fs -# %% - -# Python reader based on Pandas. Other reader examples available in readers.py -plot_path = mconfig['paths']['plot'] + '/tests/' - - -track_name= 'ATL03_20190515060436_07170312_002_02' -load_path = base_path + 'data/data1/' - -#track_name= 'ATL03_20191215230028_12220512_004_01' -track_name= 'ATL03_20210414174223_03191110_004_01' -load_path = base_path + 'data/data4/' - -# test which beams exist: -all_beams = ['gt1l', 'gt1r', 'gt2l', 'gt2r', 'gt3l', 'gt3r'] -low_beams = ['gt1l', 'gt2l', 'gt3l'] -high_beams = ['gt1r', 'gt2r', 'gt3r'] - -# %% - -#Gall= xr.open_dataset(load_path+'/'+track_name +'_filtered_photon_heights.nc') -imp.reload(io) -Gfilt = io.load_pandas_table_dict(track_name + '_B01_corrected', load_path) # rhis is the rar photon data -Gd = io.load_pandas_table_dict(track_name + '_B01_binned' , load_path) # - - - - -# %% test LS with an even grid where missing values are set to 0 -imp.reload(spec) - -Gi =Gd[high_beams[0]] - -#Gi = Gi[~np.isnan(Gi['heights_c_weighted_mean'])].sort_values('dist') - -# derive spectal limits -# Longest deserved period: -T_max = 40 #sec -k_0 = (2 * np.pi/ T_max)**2 / 9.81 -x= np.array(Gi['dist']) -dx = np.diff(x).mean() -min_datapoint = 1/k_0/dx - -Lpoints = int(np.round(min_datapoint) * 10) -Lmeters =Lpoints * dx - -#plt.plot(np.diff(np.array(Gi['dist']))) -print('L number of gridpoint:', Lpoints) -print('L length in meters:', Lmeters) -print('approx number windows', 2* Gi['dist'].iloc[-1] /Lmeters-1 ) - - -S_pwelch_k, S_pwelch_dk = spec.calc_freq_LS( x, Lpoints, dx= dx, method='fft', minimum_frequency=None, maximum_frequency=None, samples_per_peak=0.005) -S_pwelch_k.shape -hkey= 'heights_c_weighted_mean' - -imp.reload(spicke_remover) -font_for_pres() - -G_LS= dict() -G_fft= dict() -for k in high_beams: - #k = high_beams[1] - x= Gd[k]['dist'] - xlims = x.iloc[0], x.iloc[-1] - dd = np.copy(Gd[k][hkey]) - - - - M.figure_axis_xy(6, 3) - plt.subplot(1, 2, 1) - plt.plot(x, dd, 'gray', label='displacement (m) ') - - # compute slope spectra !! - dd = np.gradient(dd) - dd, _ = spicke_remover.spicke_remover(dd, spreed=5, verbose=False) - dd_nans = (np.isnan(dd) ) + (Gd[k]['N_photos'] <= 5) - - dd_no_nans= dd[~dd_nans] - x_no_nans = x[~dd_nans] - - - # outlyers = abs(dd) > dd.std() *5 - # dd= dd[~outlyers] - # x= x[~outlyers] - - plt.plot(x_no_nans, dd_no_nans, 'black', label='slope (m/m)') - plt.legend() - - print('LS') - S = spec.wavenumber_spectrogram_LS( np.array(x_no_nans), np.array(dd_no_nans), Lmeters, waven_method = S_pwelch_k[1:] , ov=None, window=None, kjumps=2) - G_ls_i = S.cal_spectrogram(xlims= xlims) - S.mean_spectral_error() # add x-mean spectal error estimate to xarray - S.parceval(add_attrs= True) - - #G['x'] = G.x * dx - def get_stancil_nans(stancil): - x_mask= (stancil[0] < x) & (x <= stancil[-1]) - idata = Gd[k]['N_photos'][x_mask] - return stancil[1], idata.sum() - - photon_list = np.array(list(dict(map( get_stancil_nans, copy.copy(S.stancil_iter) )).values())) - - G_LS[k] = G_ls_i - G_LS[k].coords['N_photons'] = (('x'), photon_list) - plt.subplot(1, 2, 2) - plt.plot(G_ls_i.k, G_ls_i.mean('x'), 'k', label='mean LS') - - # standard FFT - print('FFT') - dd[dd_nans] = 0 - S = spec.wavenumber_spectrogram(x, dd, Lpoints) - G = S.cal_spectrogram() - S.mean_spectral_error() # add x-mean spectal error estimate to xarray - S.parceval(add_attrs= True) - - - stancil_iter = spec.create_chunk_boundaries(int(Lpoints), dd_nans.size) - def get_stancil_nans(stancil): - idata = dd_nans[stancil[0]:stancil[-1]] - return stancil[1], idata.size - idata.sum() - - N_list = np.array(list(dict(map( get_stancil_nans, stancil_iter )).values())) - - G_fft[k] = G - G_fft[k].coords['N_per_stancil'] = (('x'), N_list) - G_fft[k].coords['x'] = G_fft[k].coords['x'] * dx - - plt.plot(G.k, G.mean('x'), 'darkblue', label='mean FFT') - - plt.legend() - plt.show() - - - #print(np.isinf(G).sum().data) - - -# %% -font_for_pres() - -plt.plot(G.k, G.mean('x')) - -def dict_weighted_mean(Gdict, weight_key): - """ - returns the weighted meean of a dict of xarray, data_arrays - weight_key must be in the xr.DataArrays - """ - #Gdict = G_LS - # weight_key='N_per_stancil' - - akey = list( Gdict.keys() )[0] - GSUM = Gdict[akey].copy() - GSUM.data = np.zeros(GSUM.shape) - N_per_stancil = GSUM.N_per_stancil * 0 - N_photons = np.zeros(GSUM.N_per_stancil.size) - - counter= 0 - for k,I in Gdict.items(): - GSUM += I * I[weight_key] #.sel(x=GSUM.x) - N_per_stancil += I[weight_key] - if 'N_photons' in GSUM.coords: - N_photons += I['N_photons'] - counter+=1 - - GSUM = GSUM / N_per_stancil /counter - - if 'N_photons' in GSUM.coords: - GSUM.coords['N_photons'] = (('x'), N_photons ) - - return GSUM - -G_LS_wmean = dict_weighted_mean(G_LS, 'N_per_stancil') -G_fft_wmean = dict_weighted_mean(G_fft, 'N_per_stancil') - - -# %% -def plot_wavenumber_spectrogram(ax, Gi, clev, title= None, plot_photon_density=True ): - - x_lambda= 1/Gi.k - plt.pcolormesh(Gi.x/1e3, x_lambda , Gi, cmap=plt.cm.ocean_r , vmin = clev[0], vmax = clev[-1]) - - ax.set_yscale('log') - # plt.colorbar(orientation='vertical', pad=0.06, label='Spectral Power (m^2/m)') - - if plot_photon_density: - plt.plot(Gi.x/1e3, x_lambda[-1] + (Gi.N_per_stancil/Gi.N_per_stancil.max() ) * 10 , c='black', linewidth= 0.8, label='NAN-density' ) - ax.axhline(30, color='black', linewidth=0.5) - - #plt.xlabel('Distance from the Ice Edge (km)') - plt.ylim(x_lambda[-1], x_lambda[0]) - plt.title(title, loc='left') - -#Gplot = G.rolling(x=5, min_periods= 1, center=True).mean() -Gmean = G_LS_wmean.rolling(k=10, x=2, min_periods= 1, center=True).mean() -Gmean = Gmean.where(~np.isnan(Gmean), 0) - -k_max_range = Gmean.k[Gmean.mean('x').argmax().data].data* 0.75, Gmean.k[Gmean.mean('x').argmax().data].data* 1, Gmean.k[Gmean.mean('x').argmax().data].data* 1.25 - - - -font_for_print() -F = M.figure_axis_xy(6.5, 5.6, container= True, view_scale =1) - -plt.suptitle('LS and FFT Slope Spectrograms\n' + track_name, y = 0.98) -gs = GridSpec(3,3, wspace=0.2, hspace=.4)#figure=fig, -#clev=np.arange(0, 6, 0.1)*3 -clev = M.clevels( Gmean.data, 31)* 1 -xlims= Gmean.x[0]/1e3, Gmean.x[-1]/1e3 - -for pos, k, pflag in zip([gs[0, 0],gs[0, 1],gs[0, 2] ], high_beams, [True, False, False] ): - ax0 = F.fig.add_subplot(pos) - Gplot = G_LS[k]#.rolling(k=10, x=2, min_periods= 1, center=True).mean() - #Gplot.mean('x').plot() - - # #plt.pcolormesh(G.x/1e3, 1/G.k , G, norm=colors.LogNorm(vmin=G.min()*1e6, vmax=G.max()), cmap='PuBu')#, vmin = clev[0], vmax = clev[-1]) - # - plot_wavenumber_spectrogram(ax0, Gplot, clev, title =k, plot_photon_density=True ) - plt.xlim(xlims) - # - if pflag: - plt.ylabel('Wave length\n(meters)') - plt.legend() - -pos, k, pflag = gs[1, 0], 'weighted mean', True -ax0 = F.fig.add_subplot(pos) -Gplot = G_LS_wmean.rolling(k=5, x=2, min_periods= 1, center=True).median() - - -plot_wavenumber_spectrogram(ax0, Gplot, clev, title =k, plot_photon_density= True) -plt.xlim(xlims) - -# plt.plot(Gplot.x/1e3, 10* nan_list +20 , c='black', label='NAN-density' ) -# ax0.axhline(30, color='black', linewidth=0.5) - -ax0.axhline(1/k_max_range[0], color='red', linestyle= '--', linewidth= 0.5) -ax0.axhline(1/k_max_range[1], color='red', linestyle= '-', linewidth= 0.5) -ax0.axhline(1/k_max_range[2], color='red', linestyle= '--', linewidth= 0.5) - - -if pflag: - plt.ylabel('Wave length\n(meters)') - plt.legend() - - -pos = gs[1, 1] -ax0 = F.fig.add_subplot(pos) -plt.title('Photons density ($m^{-1}$)', loc='left') - -for k,I in G_LS.items(): - plt.plot(Gplot.x/1e3, I.N_photons/Lmeters, label=k, linewidth=0.8) -plt.plot(Gplot.x/1e3, G_LS_wmean.N_photons/3/Lmeters , c='black', label='ave Photons' , linewidth=0.8) -plt.xlim(xlims) -plt.xlabel('Distance from the Ice Edge (km)') - -pos = gs[1, 2] -ax0 = F.fig.add_subplot(pos) - -ax0.set_yscale('log') - -plt.title('Peak Spectal Power', loc='left') - -for k,I in G_LS.items(): - plt.scatter(I.x.data/1e3, I.sel(k=slice(k_max_range[0], k_max_range[2])).integrate('k').data *1e3 , s=0.5, marker='.', color='red', alpha= 0.3) - -for k,I in G_fft.items(): - I= I[:,I.N_per_stancil >= I.N_per_stancil.max().data*0.9] - plt.scatter(I.x/1e3, I.sel(k=slice(k_max_range[0], k_max_range[2])).integrate('k') *1e3 , s=0.5, marker='.', c='blue', alpha= 0.3) - - -Gplot= G_fft_wmean[:,G_fft_wmean.N_per_stancil >= G_fft_wmean.N_per_stancil.max().data*0.9] -plt.plot(Gplot.x/1e3, Gplot.sel(k=slice(k_max_range[0], k_max_range[2])).integrate('k') *1e3, '.', markersize=1.5 , c='blue', label= 'FFT') - -Gplot= G_LS_wmean -plt.plot(Gplot.x/1e3, Gplot.sel(k=slice(k_max_range[0], k_max_range[2])).integrate('k') *1e3 , '.' , markersize=1.5, c='red', label= 'LS') - -plt.ylabel('1e-3 $(m)^2~m$') -plt.legend() -#plt.ylim(Gplot.min()*1.4, Gplot.max()*1.4 ) -plt.xlim(xlims) - -F.save_light(path=plot_path, name=track_name +'_exmpl_spec_LS_strong_L'+str(Lmeters)) diff --git a/analysis/B02_make_spectra_LS_new_new.py b/analysis/B02_make_spectra_LS_new_new.py deleted file mode 100644 index bc32371b..00000000 --- a/analysis/B02_make_spectra_LS_new_new.py +++ /dev/null @@ -1,350 +0,0 @@ -import os, sys -#execfile(os.environ['PYTHONSTARTUP']) - -""" -This file open a ICEsat2 track applied filters and corections and returns smoothed photon heights on a regular grid in an .nc file. -This is python 3 -""" - - -exec(open(os.environ['PYTHONSTARTUP']).read()) -exec(open(STARTUP_2021_IceSAT2).read()) - -base_path='/Users/Shared/Projects/2021_IceSAT2_tracks/' -sys.path.append(base_path +'modules/') -sys.path.append(base_path +'modules/ICEsat2_SI_tools/') - -import matplotlib.pyplot as plt -%matplotlib inline - -#import m_general as M -#import m_tools as MT -import numpy as np - -import m_general_ph3 as M -import spicke_remover - -import netCDF4 -import datetime -import os -from netCDF4 import Dataset -import xarray as xr -import pandas as pd - -import ICEsat2_SI_tools.convert_GPS_time as cGPS -import h5py -import ICEsat2_SI_tools.io as io -import ICEsat2_SI_tools.spectral_estimates as spec - -import imp -import copy - -import matplotlib.colors as colors -from matplotlib.gridspec import GridSpec - - -#import s3fs -# %% - - -# Python reader based on Pandas. Other reader examples available in readers.py -plot_path = mconfig['paths']['plot'] + '/tests/' - - -track_name= 'ATL03_20190515060436_07170312_002_02' -load_path = base_path + 'data/data1/' - -#track_name= 'ATL03_20191215230028_12220512_004_01' -track_name= 'ATL03_20210414174223_03191110_004_01' -load_path = base_path + 'data/data4/' - -# %% as in main analysis -#20190601220921_09870310_004_01 -track_name= '20190601220921_09870310_004_01' -ATlevel= 'ATL03' -hemis= 'SH' -load_path = mconfig['paths']['work'] +'/B01_regrid_'+hemis+'/' -load_file = load_path + 'processed_' + ATlevel + '_' + track_name + '.h5' - -bad_track_path =mconfig['paths']['work'] +'bad_tracks/' -# %% -# test which beams exist: -all_beams = ['gt1l', 'gt1r', 'gt2l', 'gt2r', 'gt3l', 'gt3r'] -low_beams = ['gt1l', 'gt2l', 'gt3l'] -high_beams = ['gt1r', 'gt2r', 'gt3r'] - - - -# %% - -#Gall= xr.open_dataset(load_path+'/'+track_name +'_filtered_photon_heights.nc') -imp.reload(io) -Gfilt = io.load_pandas_table_dict(track_name + '_B01_corrected', load_path) # rhis is the rar photon data -Gd = io.load_pandas_table_dict(track_name + '_B01_binned' , load_path) # - - - - -# %% test LS with an even grid where missing values are set to 0 -imp.reload(spec) - -nan_fraction= list() -for I in Gd.values(): - nan_fraction.append( np.sum(np.isnan(I['heights_c_std'])) / I['heights_c_std'].shape[0] ) - - -if np.array(nan_fraction).mean() > 0.95: - print('nan fraction > 95%, pass this track, add to bad tracks') - MT.json_save(track_name, bad_track_path, {'nan_fraction': np.array(nan_fraction).mean(), 'date': str(datetime.date.today()) }) - exit() - -#Gi = Gi[~np.isnan(Gi['heights_c_weighted_mean'])].sort_values('dist') - -Gi =Gd[high_beams[0]] - -# derive spectal limits -# Longest deserved period: -T_max = 40 #sec -k_0 = (2 * np.pi/ T_max)**2 / 9.81 -x= np.array(Gi['dist']) -dx = np.diff(x).mean() -min_datapoint = 1/k_0/dx - -Lpoints = int(np.round(min_datapoint) * 10) -Lmeters =Lpoints * dx - -#plt.plot(np.diff(np.array(Gi['dist']))) -print('L number of gridpoint:', Lpoints) -print('L length in meters:', Lmeters) -print('approx number windows', 2* Gi['dist'].iloc[-1] /Lmeters-1 ) - - -S_pwelch_k, S_pwelch_dk = spec.calc_freq_LS( x, Lpoints, dx= dx, method='fft', minimum_frequency=None, maximum_frequency=None, samples_per_peak=0.005) -S_pwelch_k.shape -hkey= 'heights_c_weighted_mean' - -imp.reload(spicke_remover) -font_for_pres() - -G_LS= dict() -G_fft= dict() -for k in high_beams: - #k = high_beams[1] - x= Gd[k]['dist'] - xlims = x.iloc[0], x.iloc[-1] - dd = np.copy(Gd[k][hkey]) - - - - M.figure_axis_xy(6, 3) - plt.subplot(1, 2, 1) - plt.plot(x, dd, 'gray', label='displacement (m) ') - - # compute slope spectra !! - dd = np.gradient(dd) - dd, _ = spicke_remover.spicke_remover(dd, spreed=5, verbose=False) - dd_nans = (np.isnan(dd) ) + (Gd[k]['N_photos'] <= 5) - - dd_no_nans= dd[~dd_nans] - x_no_nans = x[~dd_nans] - - - # outlyers = abs(dd) > dd.std() *5 - # dd= dd[~outlyers] - # x= x[~outlyers] - - plt.plot(x_no_nans, dd_no_nans, 'black', label='slope (m/m)') - plt.legend() - - print('LS') - S = spec.wavenumber_spectrogram_LS( np.array(x_no_nans), np.array(dd_no_nans), Lmeters, waven_method = S_pwelch_k[1:] , ov=None, window=None, kjumps=2) - G_ls_i = S.cal_spectrogram(xlims= xlims) - S.mean_spectral_error() # add x-mean spectal error estimate to xarray - S.parceval(add_attrs= True) - - #G['x'] = G.x * dx - def get_stancil_nans(stancil): - x_mask= (stancil[0] < x) & (x <= stancil[-1]) - idata = Gd[k]['N_photos'][x_mask] - return stancil[1], idata.sum() - - photon_list = np.array(list(dict(map( get_stancil_nans, copy.copy(S.stancil_iter) )).values())) - - G_LS[k] = G_ls_i - G_LS[k].coords['N_photons'] = (('x'), photon_list) - plt.subplot(1, 2, 2) - plt.plot(G_ls_i.k, G_ls_i.mean('x'), 'k', label='mean LS') - - # standard FFT - print('FFT') - dd[dd_nans] = 0 - S = spec.wavenumber_spectrogram(x, dd, Lpoints) - G = S.cal_spectrogram() - S.mean_spectral_error() # add x-mean spectal error estimate to xarray - S.parceval(add_attrs= True) - - - stancil_iter = spec.create_chunk_boundaries(int(Lpoints), dd_nans.size) - def get_stancil_nans(stancil): - idata = dd_nans[stancil[0]:stancil[-1]] - return stancil[1], idata.size - idata.sum() - - N_list = np.array(list(dict(map( get_stancil_nans, stancil_iter )).values())) - - G_fft[k] = G - G_fft[k].coords['N_per_stancil'] = (('x'), N_list) - G_fft[k].coords['x'] = G_fft[k].coords['x'] * dx - - plt.plot(G.k, G.mean('x'), 'darkblue', label='mean FFT') - - plt.legend() - plt.show() - - - #print(np.isinf(G).sum().data) - - -# %% -font_for_pres() - -plt.plot(G.k, G.mean('x')) - -def dict_weighted_mean(Gdict, weight_key): - """ - returns the weighted meean of a dict of xarray, data_arrays - weight_key must be in the xr.DataArrays - """ - #Gdict = G_LS - # weight_key='N_per_stancil' - - akey = list( Gdict.keys() )[0] - GSUM = Gdict[akey].copy() - GSUM.data = np.zeros(GSUM.shape) - N_per_stancil = GSUM.N_per_stancil * 0 - N_photons = np.zeros(GSUM.N_per_stancil.size) - - counter= 0 - for k,I in Gdict.items(): - GSUM += I * I[weight_key] #.sel(x=GSUM.x) - N_per_stancil += I[weight_key] - if 'N_photons' in GSUM.coords: - N_photons += I['N_photons'] - counter+=1 - - GSUM = GSUM / N_per_stancil /counter - - if 'N_photons' in GSUM.coords: - GSUM.coords['N_photons'] = (('x'), N_photons ) - - return GSUM - -G_LS_wmean = dict_weighted_mean(G_LS, 'N_per_stancil') -G_fft_wmean = dict_weighted_mean(G_fft, 'N_per_stancil') - - -# %% -def plot_wavenumber_spectrogram(ax, Gi, clev, title= None, plot_photon_density=True ): - - x_lambda= 1/Gi.k - plt.pcolormesh(Gi.x/1e3, x_lambda , Gi, cmap=plt.cm.ocean_r , vmin = clev[0], vmax = clev[-1]) - - ax.set_yscale('log') - # plt.colorbar(orientation='vertical', pad=0.06, label='Spectral Power (m^2/m)') - - if plot_photon_density: - plt.plot(Gi.x/1e3, x_lambda[-1] + (Gi.N_per_stancil/Gi.N_per_stancil.max() ) * 10 , c='black', linewidth= 0.8, label='NAN-density' ) - ax.axhline(30, color='black', linewidth=0.5) - - #plt.xlabel('Distance from the Ice Edge (km)') - plt.ylim(x_lambda[-1], x_lambda[0]) - plt.title(title, loc='left') - -#Gplot = G.rolling(x=5, min_periods= 1, center=True).mean() -Gmean = G_LS_wmean.rolling(k=10, x=2, min_periods= 1, center=True).mean() -Gmean = Gmean.where(~np.isnan(Gmean), 0) - -k_max_range = Gmean.k[Gmean.mean('x').argmax().data].data* 0.75, Gmean.k[Gmean.mean('x').argmax().data].data* 1, Gmean.k[Gmean.mean('x').argmax().data].data* 1.25 - - - -font_for_print() -F = M.figure_axis_xy(6.5, 5.6, container= True, view_scale =1) - -plt.suptitle('LS and FFT Slope Spectrograms\n' + track_name, y = 0.98) -gs = GridSpec(3,3, wspace=0.2, hspace=.4)#figure=fig, -#clev=np.arange(0, 6, 0.1)*3 -clev = M.clevels( Gmean.data, 31)* 1 -xlims= Gmean.x[0]/1e3, Gmean.x[-1]/1e3 - -for pos, k, pflag in zip([gs[0, 0],gs[0, 1],gs[0, 2] ], high_beams, [True, False, False] ): - ax0 = F.fig.add_subplot(pos) - Gplot = G_LS[k]#.rolling(k=10, x=2, min_periods= 1, center=True).mean() - #Gplot.mean('x').plot() - - # #plt.pcolormesh(G.x/1e3, 1/G.k , G, norm=colors.LogNorm(vmin=G.min()*1e6, vmax=G.max()), cmap='PuBu')#, vmin = clev[0], vmax = clev[-1]) - # - plot_wavenumber_spectrogram(ax0, Gplot, clev, title =k, plot_photon_density=True ) - plt.xlim(xlims) - # - if pflag: - plt.ylabel('Wave length\n(meters)') - plt.legend() - -pos, k, pflag = gs[1, 0], 'weighted mean', True -ax0 = F.fig.add_subplot(pos) -Gplot = G_LS_wmean.rolling(k=5, x=2, min_periods= 1, center=True).median() - - -plot_wavenumber_spectrogram(ax0, Gplot, clev, title =k, plot_photon_density= True) -plt.xlim(xlims) - -# plt.plot(Gplot.x/1e3, 10* nan_list +20 , c='black', label='NAN-density' ) -# ax0.axhline(30, color='black', linewidth=0.5) - -ax0.axhline(1/k_max_range[0], color='red', linestyle= '--', linewidth= 0.5) -ax0.axhline(1/k_max_range[1], color='red', linestyle= '-', linewidth= 0.5) -ax0.axhline(1/k_max_range[2], color='red', linestyle= '--', linewidth= 0.5) - - -if pflag: - plt.ylabel('Wave length\n(meters)') - plt.legend() - - -pos = gs[1, 1] -ax0 = F.fig.add_subplot(pos) -plt.title('Photons density ($m^{-1}$)', loc='left') - -for k,I in G_LS.items(): - plt.plot(Gplot.x/1e3, I.N_photons/Lmeters, label=k, linewidth=0.8) -plt.plot(Gplot.x/1e3, G_LS_wmean.N_photons/3/Lmeters , c='black', label='ave Photons' , linewidth=0.8) -plt.xlim(xlims) -plt.xlabel('Distance from the Ice Edge (km)') - -pos = gs[1, 2] -ax0 = F.fig.add_subplot(pos) - -ax0.set_yscale('log') - -plt.title('Peak Spectal Power', loc='left') - -for k,I in G_LS.items(): - plt.scatter(I.x.data/1e3, I.sel(k=slice(k_max_range[0], k_max_range[2])).integrate('k').data *1e3 , s=0.5, marker='.', color='red', alpha= 0.3) - -for k,I in G_fft.items(): - I= I[:,I.N_per_stancil >= I.N_per_stancil.max().data*0.9] - plt.scatter(I.x/1e3, I.sel(k=slice(k_max_range[0], k_max_range[2])).integrate('k') *1e3 , s=0.5, marker='.', c='blue', alpha= 0.3) - - -Gplot= G_fft_wmean[:,G_fft_wmean.N_per_stancil >= G_fft_wmean.N_per_stancil.max().data*0.9] -plt.plot(Gplot.x/1e3, Gplot.sel(k=slice(k_max_range[0], k_max_range[2])).integrate('k') *1e3, '.', markersize=1.5 , c='blue', label= 'FFT') - -Gplot= G_LS_wmean -plt.plot(Gplot.x/1e3, Gplot.sel(k=slice(k_max_range[0], k_max_range[2])).integrate('k') *1e3 , '.' , markersize=1.5, c='red', label= 'LS') - -plt.ylabel('1e-3 $(m)^2~m$') -plt.legend() -#plt.ylim(Gplot.min()*1.4, Gplot.max()*1.4 ) -plt.xlim(xlims) - -F.save_light(path=plot_path, name=track_name +'_exmpl_spec_LS_strong_L'+str(Lmeters)) diff --git a/analysis/B02_make_spectra_gFT_tester.py b/analysis/B02_make_spectra_gFT_tester.py deleted file mode 100644 index db592c0e..00000000 --- a/analysis/B02_make_spectra_gFT_tester.py +++ /dev/null @@ -1,623 +0,0 @@ -# %% -import os, sys -#execfile(os.environ['PYTHONSTARTUP']) - -""" -This file open a ICEsat2 track applied filters and corections and returns smoothed photon heights on a regular grid in an .nc file. -This is python 3 -""" -exec(open(os.environ['PYTHONSTARTUP']).read()) -exec(open(STARTUP_2021_IceSAT2).read()) - -#%matplotlib inline - -import ICEsat2_SI_tools.convert_GPS_time as cGPS -import h5py -import ICEsat2_SI_tools.io as io -import ICEsat2_SI_tools.spectral_estimates as spec - -import imp -import copy -import spicke_remover -import datetime -import generalized_FT as gFT -from scipy.ndimage.measurements import label - -# %% - -def recreate_fft_weights(GG_xi, k): - GG_xi.y_data[np.isnan(GG_xi.y_data)] = 0 - y_gridded = GG_xi.y_data - - # take FFT to get peaj parameters - k_fft = np.fft.rfftfreq(GG_xi.eta.size, d=dx) * 2* np.pi - f_weight= np.sqrt(9.81 * k_fft) / (2 *np.pi) - data_fft = spec.Z_to_power(np.fft.rfft(y_gridded), np.diff(f_weight).mean(), GG_xi.eta.size) - - - # create JONSWAP weight - Spec_fft = gFT.get_prior_spec(f_weight, data_fft ) - f= np.sqrt(9.81 * k) / (2 *np.pi) - weight = Spec_fft.create_weight(freq = f, plot_flag= False, max_nfev=None) - - return k_fft, data_fft, k, weight - -#import s3fs -# %% -#track_name, batch_key, test_flag = io.init_from_input(sys.argv) # loads standard experiment -#track_name, batch_key, test_flag = '20190605061807_10380310_004_01', 'SH_batch01', False -#track_name, batch_key, test_flag = '20190601094826_09790312_004_01', 'SH_batch01', False -#track_name, batch_key, test_flag = '20190207111114_06260210_004_01', 'SH_batch02', False -#track_name, batch_key, test_flag = '20190208152826_06440210_004_01', 'SH_batch01', False -#track_name, batch_key, test_flag = '20190215184558_07530210_004_01', 'SH_batch01', False - - -ID_name, batch_key, ID_flag = 'SH_20190502_05160312', 'SH_publish', True -#ID_name, batch_key, ID_flag = 'SH_20190224_08800210', 'SH_publish', True -ID, _, hemis, batch = io.init_data(ID_name, batch_key, ID_flag, mconfig['paths']['work'], ) - -#print(track_name, batch_key, test_flag) -hemis, batch = batch_key.split('_') -#track_name= '20190605061807_10380310_004_01' -ATlevel= 'ATL03' - -load_path = mconfig['paths']['work'] + batch_key +'/B01_regrid/' -load_file = load_path + 'processed_' + ATlevel + '_' + ID_name + '.h5' - -save_path = mconfig['paths']['work'] + '/B02_spectra_'+hemis+'/' -save_name = 'B02_'+ID_name - -plot_path = mconfig['paths']['plot'] + '/'+hemis+'/'+batch_key+'/' + ID_name + '/B_spectra/' -MT.mkdirs_r(plot_path) -MT.mkdirs_r(save_path) -bad_track_path =mconfig['paths']['work'] +'bad_tracks/'+ batch_key+'/' -# %% - -all_beams = mconfig['beams']['all_beams'] -high_beams = mconfig['beams']['high_beams'] -low_beams = mconfig['beams']['low_beams'] -#Gfilt = io.load_pandas_table_dict(ID_name + '_B01_regridded', load_path) # rhis is the rar photon data -Gd = io.load_pandas_table_dict(ID_name + '_B01_binned_' , load_path) # -Gd = h5py.File(load_path +'/'+ID_name + '_B01_binned.h5', 'r') - -# %% test amount of nans in the data -nan_fraction= list() -for I in Gd.values(): - nan_fraction.append( np.sum(np.isnan(I['heights_c_std'])) / I['heights_c_std'].shape[0] ) - - -if np.array(nan_fraction).mean() > 0.95: - print('nan fraction > 95%, pass this track, add to bad tracks') - MT.json_save(ID_name, bad_track_path, {'nan_fraction': np.array(nan_fraction).mean(), 'date': str(datetime.date.today()) }) - print('exit.') - exit() - -# %% test LS with an even grid where missing values are set to 0 -imp.reload(spec) -print(Gd.keys()) -Gi =Gd[ list(Gd.keys())[0] ] # to select a test beam - -# derive spectal limits -# Longest deserved period: -T_max = 40 #sec -k_0 = (2 * np.pi/ T_max)**2 / 9.81 -x = np.array(Gi['dist']) -dx = np.diff(x).mean() -min_datapoint = 2*np.pi/k_0/dx - -Lpoints = int(np.round(min_datapoint) * 10 ) -Lmeters = Lpoints * dx - -#plt.plot(np.diff(np.array(Gi['dist']))) -print('L number of gridpoint:', Lpoints) -print('L length in km:', Lmeters/1e3) -print('approx number windows', 2* Gi['dist'][:][-1] /Lmeters-1 ) - -T_min = 5 -lambda_min = 9.81 * T_min**2/ (2 *np.pi) -flim = 1/T_min - -oversample = 2 -dlambda = Lmeters * oversample -dk = 2 * np.pi/ dlambda -kk =np.arange(0, 1/lambda_min, 1/dlambda) * 2*np.pi -kk = kk[k_0<=kk] -#dk = np.diff(kk).mean() -print('2 M = ', kk.size *2 ) - -dk *150 -# %% - -G_gFT= dict() -G_gFT_x = dict() -G_rar_fft= dict() -Pars_optm = dict() -imp.reload(spec) -imp.reload(gFT) - -k=all_beams[1] -#for k in all_beams: - -# ------------------------------- use gridded data -hkey= 'heights_c_weighted_mean' -x = Gd[k]['dist'][:] -xlims = x[0], x[-1] -dd = np.copy(Gd[k][hkey]) - -dd_error = np.copy(Gd[k]['heights_c_std']) -dd_error[np.isnan(dd_error)] = 100 -#plt.hist(1/dd_weight, bins=40) - -F = M.figure_axis_xy(6, 3) -plt.subplot(2, 1, 1) -#plt.plot(x, dd, 'gray', label='displacement (m) ') - -# compute slope spectra !! -dd = np.gradient(dd) -dd, _ = spicke_remover.spicke_remover(dd, spreed=10, verbose=False) -dd_nans = (np.isnan(dd) ) + (Gd[k]['N_photos'][:] <= 5) - -dd_filled = np.copy(dd) -dd_filled[dd_nans] = 0 -#win = create_weighted_window(dd_filled) - -# using gappy data -Nsel= 10000 -dd_no_nans = dd[~dd_nans][0:Nsel] # windowing is applied here -x_no_nans = x[~dd_nans][0:Nsel] -dd_error_no_nans = dd_error[~dd_nans][0:Nsel] - -plt.plot(x_no_nans, dd_no_nans, '.', 'black', label='slope (m/m)') -plt.legend() -plt.show() - - - -# %% - -xlims = xlims[0], xlims[0] + (xlims[1] -xlims[0])/2 - -print('gFT') -font_for_print() -#S_pwelch_k2 = np.arange(S_pwelch_k[1], S_pwelch_k[-1], S_pwelch_dk*2 ) -imp.reload(gFT) -S = gFT.wavenumber_spectrogram_gFT( np.array(x_no_nans), np.array(dd_no_nans), Lmeters, dx, kk, data_error = dd_error_no_nans, ov=None) -GG, GG_x, Params = S.cal_spectrogram(xlims= xlims, max_nfev = None, plot_flag = True) - - -# %% - -xsel= 0 -GG_xi = GG_x.isel(x=xsel) -GGi = GG.isel(x=xsel) - -fft_k, fft_data, k, weight = recreate_fft_weights(GG_xi, GGi.k) - -font_for_pres() -F= M.figure_axis_xy(6, 3, view_scale= 0.8) -GGi.gFT_PSD_data.plot(color ='red', lw= 0.8, label= 'GFT') -GGi.weight.plot(color = 'green', label= 'weight') - -plt.plot(fft_k, fft_data, 'gray', lw=0.5, label= 'FFT', zorder= 3) -plt.plot(k, weight, 'k--', label= 'fitten PM model') - -plt.legend(ncol =2) -plt.xlim(k[0], k[-1]) -plt.ylim(0, np.quantile(fft_data, 0.98)) -plt.ylabel('PSD ( (m/m)$^2$/k)') -plt.xlabel('wavenumber (k)') - - -plt.title('x='+ str(np.round(GG_xi.x.data/1e3,1))+ 'km, N=' + str(int(GGi.N_per_stancil)) ) - -# %% - - -# np.nanmean( (GG.gFT_PSD_model.sum('k') *dk) ) -# GG.gFT_PSD_model.median('x').plot() -# GG.gFT_PSD_data.median('x').rolling(k= 30).mean().plot() -# GG.gFT_PSD_model.median('x').rolling(k= 30).mean().plot() -# plt.plot(Params.T['alpha'], '.') -# GG.gFT_PSD_data.rolling(x=6, k =20, min_periods=5).median().plot() -# plt.plot(GG.k , GG.gFT_PSD_model.rolling(x=10, k =140, min_periods=5).mean() , 'k', alpha= 0.5) -# plt.ylim(0, .6) -# -# (GG.gFT_PSD_data).rolling(k= 100).median().plot()#levels= np.arange(0, 0.5, 0.05) ) -# plt.ylim(0, 0.1) -# -# np.log(GG.gFT_PSD_data).rolling(k= 100).median().plot()#levels = np.arange(-4, 1, 0.25)) -# -# #np.log(GG.gFT_PSD_data).plot() -# -# plt.plot(Params.T['alpha'], '.') -# %% - -def linear_gap_fill(F, key_lead, key_int): - - """ - F pd.DataFrame - key_lead key in F that determined the independent coordindate - key_int key in F that determined the dependent data - """ - y_g = np.array(F[key_int]) - - nans, x2= np.isnan(y_g), lambda z: z.nonzero()[0] - y_g[nans]= np.interp(x2(nans), x2(~nans), y_g[~nans]) - - return y_g - - - -plot_data_model=True -if plot_data_model: - for i in np.arange(30,60,2): - c1= 'blue' - c2= 'red' - - GGi = GG.isel(x= i) - - xi_1=GG_x.x[i] - xi_2=GG_x.x[i+1] - #if k%2 ==0: - - F = M.figure_axis_xy(16, 2) - eta = GG_x.eta - - # gFT model - y_model = GG_x.y_model[:, i] - plt.plot(eta +xi_1, y_model ,'-', c=c1, linewidth=0.8, alpha=1, zorder=12) - y_model = GG_x.y_model[:, i+1] - plt.plot(eta +xi_2, y_model,'-', c=c2, linewidth=0.8, alpha=1, zorder=12) - - # iterpolated model in gaps - FT = gFT.generalized_Fourier(eta +xi_1, None,GG.k ) - _ = FT.get_H() - FT.b_hat=np.concatenate([ GGi.gFT_cos_coeff, GGi.gFT_sin_coeff ]) - plt.plot(eta +xi_1, FT.model() ,'-', c='orange', linewidth=0.8, alpha=1,zorder= 2) - - FT = gFT.generalized_Fourier(eta +xi_2, None,GG.k ) - _ = FT.get_H() - FT.b_hat=np.concatenate([ GGi.gFT_cos_coeff, GGi.gFT_sin_coeff ]) - plt.plot(eta +xi_2, FT.model() ,'-', c='orange', linewidth=0.8, alpha=1,zorder= 2) - - - # oringial data - #plt.plot(x, dd, '-', c='k',linewidth=3, alpha =0.6, zorder=11) - #plt.plot(x, dd, '.', c='k',markersize=3, alpha =0.5) - - # oringal data from model_output - y_data = GG_x.y_data[:, i] - plt.plot(eta +xi_1, y_data ,'-', c='k',linewidth=3, alpha =0.3, zorder=11) - y_data = GG_x.y_data[:, i+1] - plt.plot(eta +xi_2, y_data,'-', c='k',linewidth=3, alpha =0.3, zorder=11) - - - #plt.plot(x[~dd_nans], dd_error[~dd_nans], '.', c='green',linewidth=1, alpha =0.5) - - F.ax.axvline(xi_1 + eta[0].data , linewidth=4, color=c1, alpha=0.5) - F.ax.axvline(xi_1 + eta[-1].data, linewidth=4, color=c1, alpha=0.5) - F.ax.axvline(xi_2 + eta[0].data , linewidth=4, color=c2, alpha=0.5) - F.ax.axvline(xi_2 + eta[-1].data, linewidth=4, color=c2, alpha=0.5) - - ylims= -np.nanstd(dd)*2, np.nanstd(dd)*2 - plt.text(xi_1 + eta[0].data, ylims[-1], ' N='+ str(GG.sel(x=xi_1, method='nearest').N_per_stancil.data) + ' N/2M= '+ str(GG.sel(x=xi_1, method='nearest').N_per_stancil.data/2/kk.size) ) - plt.text(xi_2 + eta[0].data, ylims[-1], ' N='+ str(GG.sel(x=xi_2, method='nearest').N_per_stancil.data) + ' N/2M= '+ str(GG.sel(x=xi_2, method='nearest').N_per_stancil.data/2/kk.size) ) - plt.xlim(xi_1 + eta[0].data*1.2, xi_2 + eta[-1].data*1.2 ) - #plt.xlim(xi_1, xi_2 ) - - - plt.ylim(ylims[0], ylims[-1]) - plt.show() - -# % -#S.mean_spectral_error() # add x-mean spectal error estimate to xarray -S.parceval(add_attrs= True, weight_data=False) - -# assign beam coordinate -GG.coords['beam'], GG_x.coords['beam'] = str(k), str(k) -GG, GG_x = GG.expand_dims(dim = 'beam', axis = 1), GG_x.expand_dims(dim = 'beam', axis = 1) -# repack such that all coords are associated with beam -GG.coords['N_per_stancil'] = (('x', 'beam' ), np.expand_dims(GG['N_per_stancil'], 1)) - -# add more coodindates to the Dataset -x_coord_no_gaps = linear_gap_fill( Gd[k], 'dist', 'x' ) -y_coord_no_gaps = linear_gap_fill( Gd[k], 'dist', 'y' ) -mapped_coords = spec.sub_sample_coords(Gd[k]['dist'], x_coord_no_gaps, y_coord_no_gaps, S.stancil_iter , map_func = None ) - -GG.coords['x_coord'] = GG_x.coords['x_coord'] = (('x', 'beam' ), np.expand_dims(mapped_coords[:,1], 1) ) -GG.coords['y_coord'] = GG_x.coords['y_coord'] = (('x', 'beam' ), np.expand_dims(mapped_coords[:,2], 1) ) - -# if data staarts with nans replace coords with nans again -if (GG.coords['N_per_stancil'] == 0).squeeze()[0].data: - nlabel = label( (GG.coords['N_per_stancil'] == 0).squeeze())[0] - nan_mask= nlabel ==nlabel[0] - GG.coords['x_coord'][nan_mask] =np.nan - GG.coords['y_coord'][nan_mask] =np.nan - -lons_no_gaps = linear_gap_fill( Gd[k], 'dist', 'lons' ) -lats_no_gaps = linear_gap_fill( Gd[k], 'dist', 'lats' ) -mapped_coords = spec.sub_sample_coords(Gd[k]['dist'], lons_no_gaps, lats_no_gaps, S.stancil_iter , map_func = None ) - -GG.coords['lon'] = GG_x.coords['lon'] = (('x', 'beam' ), np.expand_dims(mapped_coords[:,1], 1) ) -GG.coords['lat'] = GG_x.coords['lat'] = (('x', 'beam' ), np.expand_dims(mapped_coords[:,2], 1) ) - -# plt.plot(Gd[k]['x'], Gd[k]['y'] , '.') -# plt.plot(GG.coords['x_coord'], GG.coords['y_coord'] , '.r') -# -# plt.plot(Gd[k]['lons'], Gd[k]['lats'] , '.') -# plt.plot(GG.coords['lon'], GG.coords['lat'] , '.r') -# spectral errors are cacualted within S and now repacked to main DataSet G -#G.coords['mean_El'] = (('k', 'beam' ), np.expand_dims(S.G['mean_El'], 1)) -#G.coords['mean_Eu'] = (('k', 'beam' ), np.expand_dims(S.G['mean_Eu'], 1)) - -# calculate number data points -def get_stancil_nans(stancil): - x_mask = (stancil[0] < x) & (x <= stancil[-1]) - idata = Gd[k]['N_photos'][x_mask] - return stancil[1], idata.sum() - -photon_list = np.array(list(dict(map( get_stancil_nans, copy.copy(S.stancil_iter) )).values())) -GG.coords['N_photons'] = (('x', 'beam' ), np.expand_dims(photon_list, 1)) - -# Save to dict -G_gFT[k] = GG -G_gFT_x[k] = GG_x -Pars_optm[k] = Params - -# plot -plt.subplot(2, 1, 2) -G_gFT_power = GG.gFT_PSD_data.squeeze() -plt.plot(G_gFT_power.k, np.nanmean(G_gFT_power,1), 'gray', label='mean gFT power data ') -G_gFT_power = GG.gFT_PSD_model.squeeze() -plt.plot(GG.k, np.nanmean(S.G, 1), 'k', label='mean LS power model') - -# standard FFT -print('FFT') -dd[dd_nans] = 0 -S = spec.wavenumber_spectrogram(x, dd, Lpoints) -G = S.cal_spectrogram() -S.mean_spectral_error() # add x-mean spectal error estimate to xarray -S.parceval(add_attrs= True) - -# assign beam coordinate -G.coords['beam'] = str(k)#(('beam'), str(k)) -G = G.expand_dims(dim = 'beam', axis = 2) -G.coords['mean_El'] = (('k', 'beam' ), np.expand_dims(G['mean_El'], 1)) -G.coords['mean_Eu'] = (('k', 'beam' ), np.expand_dims(G['mean_Eu'], 1)) -G.coords['x'] = G.coords['x'] * dx # adjust x-coodinate definition - -stancil_iter = spec.create_chunk_boundaries(int(Lpoints), dd_nans.size) -def get_stancil_nans(stancil): - idata = dd_nans[stancil[0]:stancil[-1]] - return stancil[1], idata.size - idata.sum() - -N_list = np.array(list(dict(map( get_stancil_nans, stancil_iter )).values())) - -# repack such that all coords are associated with beam -G.coords['N_per_stancil'] = (('x', 'beam' ), np.expand_dims(N_list, 1)) - -#save to dict -G_rar_fft[k] = G - -# for plotting -G_rar_fft_p =G.squeeze() -plt.plot(G.k, G_rar_fft_p[:, G_rar_fft_p['N_per_stancil'] > 10 ].mean('x'), 'darkblue', label='mean FFT') -#plt.plot(G.k, GG.mean('x'), 'lightblue', label='mean FFT') -plt.legend() -plt.show() - -F.save_light(path=plot_path, name = 'B02_control_'+k+'_' + track_name) -#print('saved as '+'B02_control_'+k+'_' + track_name) -#print(np.isinf(G).sum().data) - - - -# %% - -def dict_weighted_mean(Gdict, weight_key): - """ - returns the weighted meean of a dict of xarray, data_arrays - weight_key must be in the xr.DataArrays - """ - #Gdict = G_LS - # weight_key='N_per_stancil' - - akey = list( Gdict.keys() )[0] - GSUM = Gdict[akey].copy() - GSUM.data = np.zeros(GSUM.shape) - N_per_stancil = GSUM.N_per_stancil * 0 - N_photons = np.zeros(GSUM.N_per_stancil.size) - - counter= 0 - for k,I in Gdict.items(): - I =I.squeeze() - GSUM += I.where( ~np.isnan(I), 0) * I[weight_key] #.sel(x=GSUM.x) - N_per_stancil += I[weight_key] - if 'N_photons' in GSUM.coords: - N_photons += I['N_photons'] - counter+=1 - - GSUM = GSUM / N_per_stancil /counter - - if 'N_photons' in GSUM.coords: - GSUM.coords['N_photons'] = (('x', 'beam'), np.expand_dims(N_photons, 1) ) - - GSUM['beam'] = ['weighted_mean'] - GSUM.name='power_spec' - - return GSUM - -G_gFT_sel = {} -for k,I in G_gFT.items(): - G_gFT_sel[k] = I['gFT_PSD_model'] - -G_gFT_wmean = dict_weighted_mean(G_gFT_sel, 'N_per_stancil') -G_fft_wmean = dict_weighted_mean(G_rar_fft, 'N_per_stancil') - - -# %% plot -def plot_wavenumber_spectrogram(ax, Gi, clev, title= None, plot_photon_density=True ): - - if Gi.k[0] ==0: - Gi= Gi.sel(k=Gi.k[1:]) - x_lambda= 1/Gi.k - plt.pcolormesh(Gi.x/1e3, x_lambda , Gi, cmap=plt.cm.ocean_r , vmin = clev[0], vmax = clev[-1]) - - ax.set_yscale('log') - # plt.colorbar(orientation='vertical', pad=0.06, label='Spectral Power (m^2/m)') - - if plot_photon_density: - - plt.plot(Gi.x/1e3, x_lambda[-1] + (Gi.N_per_stancil/Gi.N_per_stancil.max() ) * 10 , c='black', linewidth= 0.8, label='NAN-density' ) - plt.fill_between(Gi.x/1e3, x_lambda[-1] + (Gi.N_per_stancil/Gi.N_per_stancil.max() ) * 10, 0, color='gray', alpha = 0.3) - ax.axhline(30, color='black', linewidth=0.3) - - #plt.xlabel('Distance from the Ice Edge (km)') - plt.ylim(x_lambda[-1], x_lambda[0]) - plt.title(title, loc='left') - -#Gplot = G.rolling(x=5, min_periods= 1, center=True).mean() -#Gmean = G_gFT_wmean.rolling(x=2, min_periods= 1, center=True).mean() -Gmean = G_gFT_wmean.rolling(k=5, center=True).mean() -#Gmean = Gmean.where(~np.isnan(Gmean), 0) -k_max_range = Gmean.k[Gmean.mean('x').argmax().data].data* 0.75, Gmean.k[Gmean.mean('x').argmax().data].data* 1, Gmean.k[Gmean.mean('x').argmax().data].data* 1.25 - -# %% -font_for_print() -F = M.figure_axis_xy(6.5, 5.6, container= True, view_scale =1) - -plt.suptitle('LS and FFT Slope Spectrograms\n' + track_name, y = 0.98) -gs = GridSpec(3,3, wspace=0.2, hspace=.5)#figure=fig, -#clev=np.arange(0, 6, 0.1)*3 - -#%matplotlib inline - -clev = M.clevels( [Gmean.quantile(0.8).data * 1e4, Gmean.quantile(0.99).data * 1e4], 31)/ 1e4 - -xlims= Gmean.x[0]/1e3, Gmean.x[-1]/1e3 - -for pos, k, pflag in zip([gs[0, 0],gs[0, 1],gs[0, 2] ], high_beams, [True, False, False] ): - ax0 = F.fig.add_subplot(pos) - Gplot = G_gFT_sel[k].squeeze()#.rolling(k=10, x=2, min_periods= 1, center=True).mean() - #Gplot.mean('x').plot() - - # #plt.pcolormesh(G.x/1e3, 1/G.k , G, norm=colors.LogNorm(vmin=G.min()*1e6, vmax=G.max()), cmap='PuBu')#, vmin = clev[0], vmax = clev[-1]) - # - #np.log(Gplot).plot() - plot_wavenumber_spectrogram(ax0, Gplot, clev, title =k, plot_photon_density=True ) - plt.xlim(xlims) - # - if pflag: - plt.ylabel('Wave length\n(meters)') - plt.legend() - -for pos, k, pflag in zip([gs[1, 0],gs[1, 1],gs[1, 2] ], low_beams, [True, False, False] ): - ax0 = F.fig.add_subplot(pos) - Gplot = G_gFT_sel[k].squeeze()#.rolling(k=10, x=2, min_periods= 1, center=True).mean() - #Gplot.mean('x').plot() - - # #plt.pcolormesh(G.x/1e3, 1/G.k , G, norm=colors.LogNorm(vmin=G.min()*1e6, vmax=G.max()), cmap='PuBu')#, vmin = clev[0], vmax = clev[-1]) - # - plot_wavenumber_spectrogram(ax0, Gplot, clev, title =k, plot_photon_density=True ) - plt.xlim(xlims) - # - if pflag: - plt.ylabel('Wave length\n(meters)') - plt.legend() - -pos, k, pflag = gs[2, 0], 'Power(weighted mean) \n10 $\log_{10}( (m/m)^2 m )$', True -ax0 = F.fig.add_subplot(pos) -Gplot = G_gFT_wmean.squeeze().rolling(k=5, min_periods= 1, center=True).median().rolling(x=3, min_periods= 1, center=True).median() - -dd = 10 * np.log10(Gplot) -dd= dd.where(~np.isinf(dd), np.nan ) -clev_log = M.clevels( [dd.quantile(0.01).data, dd.quantile(0.98).data * 1.2], 31)* 1 -plot_wavenumber_spectrogram(ax0, dd, clev_log , title =k, plot_photon_density= True) -plt.xlim(xlims) - -# plt.plot(Gplot.x/1e3, 10* nan_list +20 , c='black', label='NAN-density' ) -# ax0.axhline(30, color='black', linewidth=0.5) - -ax0.axhline(1/k_max_range[0], color='red', linestyle= '--', linewidth= 0.5) -ax0.axhline(1/k_max_range[1], color='red', linestyle= '-', linewidth= 0.5) -ax0.axhline(1/k_max_range[2], color='red', linestyle= '--', linewidth= 0.5) - -if pflag: - plt.ylabel('Wave length\n(meters)') - plt.legend() - -pos = gs[2, 1] -ax0 = F.fig.add_subplot(pos) -plt.title('Photons density ($m^{-1}$)', loc='left') - -for k,I in G_gFT.items(): - plt.plot(Gplot.x/1e3, I.N_photons/Lmeters, label=k, linewidth=0.8) -plt.plot(Gplot.x/1e3, G_gFT_wmean.N_photons/3/Lmeters , c='black', label='ave Photons' , linewidth=0.8) -plt.xlim(xlims) -plt.xlabel('Distance from the Ice Edge (km)') - -pos = gs[2, 2] - -ax0 = F.fig.add_subplot(pos) -ax0.set_yscale('log') - -plt.title('Peak Spectal Power', loc='left') - -for k,I in G_gFT_sel.items(): - plt.scatter(I.x.data/1e3, I.sel(k=slice(k_max_range[0], k_max_range[2])).integrate('k').data *1e3 , s=0.5, marker='.', color='red', alpha= 0.3) - -for k,I in G_rar_fft.items(): - I= I.squeeze() - I= I[:,I.N_per_stancil >= I.N_per_stancil.max().data*0.9] - plt.scatter(I.x/1e3, I.sel(k=slice(k_max_range[0], k_max_range[2])).integrate('k') *1e3 , s=0.5, marker='.', c='blue', alpha= 0.3) - - -Gplot= G_fft_wmean.squeeze() -Gplot = Gplot[:,Gplot.N_per_stancil >= Gplot.N_per_stancil.max().data*0.9] -plt.plot(Gplot.x/1e3, Gplot.sel(k=slice(k_max_range[0], k_max_range[2])).integrate('k') *1e3, '.', markersize=1.5 , c='blue', label= 'FFT') - -Gplot= G_gFT_wmean.squeeze() -plt.plot(Gplot.x/1e3, Gplot.sel(k=slice(k_max_range[0], k_max_range[2])).integrate('k') *1e3 , '.' , markersize=1.5, c='red', label= 'gFT') - -plt.ylabel('1e-3 $(m)^2~m$') -plt.legend() -plt.ylim(Gplot.min()*1.4, Gplot.max()*1.4 ) -plt.xlim(xlims) - -F.save_light(path=plot_path, name = 'B02_specs_' + track_name +'_L'+str(Lmeters)) - -# %% save fitting parameters -MT.save_pandas_table(Pars_optm, save_name+'_params', save_path ) - -# %% repack data -def repack_attributes(DD): - #DD = G_LS - attr_dim_list = list(DD.keys()) - for k in attr_dim_list: - for ka in list(DD[k].attrs.keys()): - I = DD[k] - I.coords[ka] = ( 'beam', np.expand_dims(I.attrs[ka], 0) ) - return DD - -G_gFT[G_gFT_wmean.beam.data[0]] =G_gFT_wmean -G_rar_fft[G_fft_wmean.beam.data[0]] =G_fft_wmean - -G_gFT = repack_attributes(G_gFT) -G_gFT_x = repack_attributes(G_gFT_x) -G_rar_fft = repack_attributes(G_rar_fft) - -# %% save results -# G_gFT_DS = xr.merge(G_gFT.values()) -# G_gFT_DS['Z_hat_imag'] = G_gFT_DS.Z_hat.imag -# G_gFT_DS['Z_hat_real'] = G_gFT_DS.Z_hat.real -# G_gFT_DS = G_gFT_DS.drop('Z_hat') -# G_gFT_DS.attrs['name'] = 'gFT_estimates' -# G_gFT_DS.to_netcdf(save_path+save_name+'_gFT_k.nc') - -# G_gFT_x_DS = xr.merge(G_gFT_x.values()) -# G_gFT_x_DS.attrs['name'] = 'gFT_estimates_real_space' -# G_gFT_x_DS.to_netcdf(save_path+save_name+'_gFT_x.nc') - -# G_fft_DS = xr.merge(G_rar_fft.values()) -# G_fft_DS.attrs['name']= 'FFT_power_spectra' -# G_fft_DS.to_netcdf(save_path+save_name+'_FFT.nc') diff --git a/analysis/B02_make_spectra_get_phase.py b/analysis/B02_make_spectra_get_phase.py deleted file mode 100644 index 45a21ffd..00000000 --- a/analysis/B02_make_spectra_get_phase.py +++ /dev/null @@ -1,539 +0,0 @@ - -import os, sys -#execfile(os.environ['PYTHONSTARTUP']) - -""" -This file open a ICEsat2 track applied filters and corections and returns smoothed photon heights on a regular grid in an .nc file. -This is python 3 -""" - -exec(open(os.environ['PYTHONSTARTUP']).read()) -exec(open(STARTUP_2021_IceSAT2).read()) - -%matplotlib inline - -import ICEsat2_SI_tools.convert_GPS_time as cGPS -import h5py -import ICEsat2_SI_tools.io as io -import ICEsat2_SI_tools.spectral_estimates as spec - -import imp -import copy -import spicke_remover -import datetime - -#import s3fs -# %% -track_name, batch_key, test_flag = io.init_from_input(sys.argv) # loads standard experiment -#track_name, batch_key, test_flag = '20190605061807_10380310_004_01', 'SH_batch01', False -track_name, batch_key, test_flag = '20190601094826_09790312_004_01', 'SH_batch01', False -#track_name, batch_key, test_flag = '20190207111114_06260210_004_01', 'SH_batch02', False - -#print(track_name, batch_key, test_flag) -hemis, batch = batch_key.split('_') -#track_name= '20190605061807_10380310_004_01' -ATlevel= 'ATL03' - -load_path = mconfig['paths']['work'] +'/B01_regrid_'+hemis+'/' -load_file = load_path + 'processed_' + ATlevel + '_' + track_name + '.h5' - -save_path = mconfig['paths']['work'] + '/B02_spectra_'+hemis+'/' -save_name = 'B02_'+track_name - -plot_path = mconfig['paths']['plot'] + '/'+hemis+'/'+batch_key+'/' + track_name + '/B_spectra/' -MT.mkdirs_r(plot_path) -MT.mkdirs_r(save_path) -bad_track_path =mconfig['paths']['work'] +'bad_tracks/'+ batch_key+'/' -# %% - -all_beams = mconfig['beams']['all_beams'] -high_beams = mconfig['beams']['high_beams'] -low_beams = mconfig['beams']['low_beams'] -Gfilt = io.load_pandas_table_dict(track_name + '_B01_regridded', load_path) # rhis is the rar photon data -Gd = io.load_pandas_table_dict(track_name + '_B01_binned' , load_path) # - - -# %% test amount of nans in the data -nan_fraction= list() -for I in Gd.values(): - nan_fraction.append( np.sum(np.isnan(I['heights_c_std'])) / I['heights_c_std'].shape[0] ) - - -if np.array(nan_fraction).mean() > 0.95: - print('nan fraction > 95%, pass this track, add to bad tracks') - MT.json_save(track_name, bad_track_path, {'nan_fraction': np.array(nan_fraction).mean(), 'date': str(datetime.date.today()) }) - print('exit.') - exit() - -# %% test LS with an even grid where missing values are set to 0 -imp.reload(spec) -print(Gd.keys()) -Gi =Gd[ list(Gd.keys())[0] ] # to select a test beam - -# derive spectal limits -# Longest deserved period: -T_max = 40 #sec -k_0 = (2 * np.pi/ T_max)**2 / 9.81 -x= np.array(Gi['dist']) -dx = np.diff(x).mean() -min_datapoint = 1/k_0/dx - -Lpoints = int(np.round(min_datapoint) * 20) -Lmeters =Lpoints * dx - -#plt.plot(np.diff(np.array(Gi['dist']))) -print('L number of gridpoint:', Lpoints) -print('L length in meters:', Lmeters) -print('approx number windows', 2* Gi['dist'].iloc[-1] /Lmeters-1 ) - - -# S_pwelch_k, S_pwelch_dk = spec.calc_freq_LS( x, Lpoints, dx= dx, method='fft', minimum_frequency=None, maximum_frequency=None, samples_per_peak=0.005) -# S_pwelch_k.shape - -S_pwelch_k = np.fft.rfftfreq( Lpoints, d=dx) -dk = np.diff(S_pwelch_k).mean() -# %% - -#plt.plot( Gfilt[k]['dist']-Gfilt[k]['dist'].min(), Gfilt[k]['heights_c'], '.' ) -#plt.xlim(200000, 201000) - -for k in all_beams: - plt.plot(Gd[k]['lons'], Gd[k]['lats']) - -for k in all_beams: - plt.plot(Gd[k]['x'][0:1000], Gd[k]['y'][0:1000]) - - -Gd[k].shape -Gd[k][30000:40000] - -np.interp() - - -def linear_gap_fill(F, key_lead, key_int): - y_g = np.array(F[key_int]) - - nans, x2= np.isnan(y_g), lambda z: z.nonzero()[0] - y_g[nans]= np.interp(x2(nans), x2(~nans), y_g[~nans]) - - return y_g - -plt.plot( linear_gap_fill( Gi, 'dist', 'lons' ) , linear_gap_fill( Gi, 'dist', 'lats' ) ) - - -lon_interp = linear_gap_fill( Gi, 'dist', 'lons' ) -lat_interp = linear_gap_fill( Gi, 'dist', 'lats' ) - -plt.plot( np.gradient(lat_interp) ) -Gd[k]['lons'] = yy - -plt.plot(Gd[k]['dist'], Gd[k]['lons']) - -nan_mask = np.isnan(Gi['lons']) -sum(nan_mask) - -xp = (~nan_mask).ravel().nonzero()[0] - -yy =np.copy(Gi['lons']) -yy[nan_mask] = np.interp(Gi['dist'][nan_mask], Gi['dist'][~nan_mask],yy[~nan_mask] ).shape - -plt.plot(yy) -plt.show() - -# %% - -G_LS= dict() -G_rar_fft= dict() -imp.reload(spec) - -for k in all_beams: - - # ------------------------------- use gridded data - hkey= 'heights_c_weighted_mean' - x = Gd[k]['dist'] - xlims = x.iloc[0], x.iloc[-1] - dd = np.copy(Gd[k][hkey]) - - dd_error = np.copy(Gd[k]['heights_c_std']) - dd_error[np.isnan(dd_error)] = 100 - #plt.hist(1/dd_weight, bins=40) - F = M.figure_axis_xy(6, 3) - plt.subplot(2, 1, 1) - plt.plot(x, dd, 'gray', label='displacement (m) ') - - # compute slope spectra !! - dd = np.gradient(dd) - dd, _ = spicke_remover.spicke_remover(dd, spreed=10, verbose=False) - dd_nans = (np.isnan(dd) ) + (Gd[k]['N_photos'] <= 5) - - dd_filled = np.copy(dd) - dd_filled[dd_nans] = 0 - #win = create_weighted_window(dd_filled) - - # using gappy data - dd_no_nans = dd[~dd_nans] # windowing is applied here - x_no_nans = x[~dd_nans] - dd_error_no_nans = dd_error[~dd_nans] - - # replace bad daa by zero - # dd_no_nans = np.copy(dd)#[~dd_nans] - # x_no_nans = x#[~dd_nans] - # dd_error_no_nans = np.copy(dd_error)#[~dd_nans] - # dd_no_nans[dd_nans] = 0 - # x_no_nans = x - # dd_error_no_nans[dd_nans] = 1000 - - dx = np.diff(x).mean() - - # outlyers = abs(dd) > dd.std() *5 - # dd= dd[~outlyers] - # x= x[~outlyers] - - plt.plot(x_no_nans, dd_no_nans, 'black', label='slope (m/m)') - plt.legend() - - # ---------------------------------- use ungridded data - # hkey = 'heights_c' - # x = np.copy(Gfilt[k]['dist']) - # xlims = x.min(), x.max() - # dd = np.copy(Gfilt[k][hkey]) - # dd_nans = np.isnan(dd) - # - # dd_no_nans = dd[~dd_nans] - # x_no_nans = x[~dd_nans] - # dx = np.diff(x).mean() - # plt.plot(x_no_nans, dd_no_nans,'.' ,c='black', label='displacement (m)') - # plt.legend() - - # for testing - #xlims = xlims[0], xlims[1]/2 - - # %% - print('LS') - imp.reload(spec) - #S_pwelch_k2 = np.arange(S_pwelch_k[1], S_pwelch_k[-1], S_pwelch_dk*2 ) - - kk = S_pwelch_k # includes 0 wavenumber - #kk= S_pwelch_k2 - # plt.plot(1/kk) - # kk = np.concatenate( [kk[kk <= 1/50] , kk[kk > 1/50][::1]] ) - kk.shape - S = spec.wavenumber_spectrogram_LS( np.array(x_no_nans), np.array(dd_no_nans), Lmeters, dx, dy = None, waven_method = kk, ov=None, window=None) - G, PP = S.cal_spectrogram(xlims= xlims, weight_data=False, max_nfev = 200) - - # add more coodindates to the Dataset - x_coord_no_gaps = linear_gap_fill( Gd[k], 'dist', 'x' ) - y_coord_no_gaps = linear_gap_fill( Gd[k], 'dist', 'y' ) - mapped_coords = spec.sub_sample_coords(Gd[k]['dist'], x_coord_no_gaps, y_coord_no_gaps, S.stancil_iter , map_func = None ) - G = G.assign_coords(x_coord =('x',mapped_coords[:,1] ) ).assign_coords(y_coord =('x',mapped_coords[:,2] ) ) - - lons_no_gaps = linear_gap_fill( Gd[k], 'dist', 'lons' ) - lats_no_gaps = linear_gap_fill( Gd[k], 'dist', 'lats' ) - mapped_coords = spec.sub_sample_coords(Gd[k]['dist'], lons_no_gaps, lats_no_gaps, S.stancil_iter , map_func = None ) - G = G.assign_coords(lon =('x',mapped_coords[:,1] ) ).assign_coords(lat =('x',mapped_coords[:,2] ) ) - - - # %% - plot_data_model=True - if plot_data_model: - for i in np.arange(60,120,2): - c1= 'blue' - c2= 'red' - - xi_1=G.x[i] - xi_2=G.x[i+1] - #if k%2 ==0: - - F = M.figure_axis_xy(16, 2.5) - - plt.plot(G.eta[0:-1] +xi_1, np.fft.irfft(G.sel(x=xi_1).Y_model_hat) ,'-', c=c1, linewidth=0.8, alpha=1, zorder=12) - plt.plot(G.eta[0:-1] +xi_2, np.fft.irfft(G.sel(x=xi_2).Y_model_hat) ,'-', c=c2, linewidth=0.8, alpha=1, zorder=12) - - plt.plot(x, dd, '-', c='k',linewidth=2, alpha =0.6) - #plt.plot(x, dd, '.', c='k',markersize=3, alpha =0.5) - - #plt.plot(x[~dd_nans], dd_error[~dd_nans], '.', c='green',linewidth=1, alpha =0.5) - - F.ax.axvline(xi_1 + G.eta[0].data, linewidth=4, color=c1, alpha=0.5) - F.ax.axvline(xi_1 + G.eta[-1].data, linewidth=4, color=c1, alpha=0.5) - F.ax.axvline(xi_2 + G.eta[0].data, linewidth=4, color=c2, alpha=0.5) - F.ax.axvline(xi_2 + G.eta[-1].data, linewidth=4, color=c2, alpha=0.5) - - plt.text(xi_1 + G.eta[0].data, 0.5, ' N='+ str(G.sel(x=xi_1).N_per_stancil.data) ) - plt.text(xi_2 + G.eta[0].data, 0.5, ' N='+ str(G.sel(x=xi_2).N_per_stancil.data) ) - plt.xlim(xi_1 + G.eta[0].data*1.2, xi_2 + G.eta[-1].data*1.2 ) - - plt.ylim(-1, 1) - plt.show() - - # %% - S.mean_spectral_error() # add x-mean spectal error estimate to xarray - S.parceval(add_attrs= True, weight_data=False) - # assign beam coordinate - G.coords['beam'] = str(k)#(('beam'), str(k)) - G = G.expand_dims(dim = 'beam', axis = 1) - # repack such that all coords are associated with beam - G.coords['N_per_stancil'] = (('x', 'beam' ), np.expand_dims(G['N_per_stancil'], 1)) - # spectral errors are cacualted within S and now repacked to main DataSet G - G.coords['mean_El'] = (('k', 'beam' ), np.expand_dims(S.G['mean_El'], 1)) - G.coords['mean_Eu'] = (('k', 'beam' ), np.expand_dims(S.G['mean_Eu'], 1)) - - # calculate number data points - def get_stancil_nans(stancil): - x_mask = (stancil[0] < x) & (x <= stancil[-1]) - idata = Gd[k]['N_photos'][x_mask] - return stancil[1], idata.sum() - - photon_list = np.array(list(dict(map( get_stancil_nans, copy.copy(S.stancil_iter) )).values())) - G.coords['N_photons'] = (('x', 'beam' ), np.expand_dims(photon_list, 1)) - - # Save to dict - G_LS[k] = G - - # plot - plt.subplot(2, 1, 2) - GG = G.LS_spectal_power.squeeze() - plt.plot(GG.k, np.nanmean(GG,1), 'gray', label='mean LS power') - plt.plot(GG.k, np.nanmean(S.G, 1), 'k', label='mean LS power optm') - - - # standard FFT - print('FFT') - dd[dd_nans] = 0 - S = spec.wavenumber_spectrogram(x, dd, Lpoints) - G = S.cal_spectrogram() - S.mean_spectral_error() # add x-mean spectal error estimate to xarray - S.parceval(add_attrs= True) - - # assign beam coordinate - G.coords['beam'] = str(k)#(('beam'), str(k)) - G = G.expand_dims(dim = 'beam', axis = 2) - G.coords['mean_El'] = (('k', 'beam' ), np.expand_dims(G['mean_El'], 1)) - G.coords['mean_Eu'] = (('k', 'beam' ), np.expand_dims(G['mean_Eu'], 1)) - G.coords['x'] = G.coords['x'] * dx # adjust x-coodinate definition - - stancil_iter = spec.create_chunk_boundaries(int(Lpoints), dd_nans.size) - def get_stancil_nans(stancil): - idata = dd_nans[stancil[0]:stancil[-1]] - return stancil[1], idata.size - idata.sum() - - N_list = np.array(list(dict(map( get_stancil_nans, stancil_iter )).values())) - - # repack such that all coords are associated with beam - G.coords['N_per_stancil'] = (('x', 'beam' ), np.expand_dims(N_list, 1)) - - #save to dict - G_rar_fft[k] = G - - # for plotting - G_rar_fft_p =G.squeeze() - plt.plot(G.k, G_rar_fft_p[:, G_rar_fft_p['N_per_stancil'] > 10 ].mean('x'), 'darkblue', label='mean FFT') - #plt.plot(G.k, GG.mean('x'), 'lightblue', label='mean FFT') - plt.legend() - plt.show() - - #F.save_light(path=plot_path, name = 'B02_control_'+k+'_' + track_name) - #print('saved as '+'B02_control_'+k+'_' + track_name) - #print(np.isinf(G).sum().data) - - - -# %% - -def dict_weighted_mean(Gdict, weight_key): - """ - returns the weighted meean of a dict of xarray, data_arrays - weight_key must be in the xr.DataArrays - """ - #Gdict = G_LS - # weight_key='N_per_stancil' - - akey = list( Gdict.keys() )[0] - GSUM = Gdict[akey].copy() - GSUM.data = np.zeros(GSUM.shape) - N_per_stancil = GSUM.N_per_stancil * 0 - N_photons = np.zeros(GSUM.N_per_stancil.size) - - counter= 0 - for k,I in Gdict.items(): - I =I.squeeze() - GSUM += I.where( ~np.isnan(I), 0) * I[weight_key] #.sel(x=GSUM.x) - N_per_stancil += I[weight_key] - if 'N_photons' in GSUM.coords: - N_photons += I['N_photons'] - counter+=1 - - GSUM = GSUM / N_per_stancil /counter - - if 'N_photons' in GSUM.coords: - GSUM.coords['N_photons'] = (('x', 'beam'), np.expand_dims(N_photons, 1) ) - - GSUM['beam'] = ['weighted_mean'] - GSUM.name='power_spec' - - return GSUM - -G_LS_sel = {} -for k,I in G_LS.items(): - G_LS_sel[k] = I['spectral_power_optm'] - -G_LS_wmean = dict_weighted_mean(G_LS_sel, 'N_per_stancil') -G_fft_wmean = dict_weighted_mean(G_rar_fft, 'N_per_stancil') - - -# %% plot -def plot_wavenumber_spectrogram(ax, Gi, clev, title= None, plot_photon_density=True ): - - if Gi.k[0] ==0: - Gi= Gi.sel(k=Gi.k[1:]) - x_lambda= 1/Gi.k - plt.pcolormesh(Gi.x/1e3, x_lambda , Gi, cmap=plt.cm.ocean_r , vmin = clev[0], vmax = clev[-1]) - - ax.set_yscale('log') - # plt.colorbar(orientation='vertical', pad=0.06, label='Spectral Power (m^2/m)') - - if plot_photon_density: - - plt.plot(Gi.x/1e3, x_lambda[-1] + (Gi.N_per_stancil/Gi.N_per_stancil.max() ) * 10 , c='black', linewidth= 0.8, label='NAN-density' ) - plt.fill_between(Gi.x/1e3, x_lambda[-1] + (Gi.N_per_stancil/Gi.N_per_stancil.max() ) * 10, 0, color='gray', alpha = 0.3) - ax.axhline(30, color='black', linewidth=0.3) - - #plt.xlabel('Distance from the Ice Edge (km)') - plt.ylim(x_lambda[-1], x_lambda[0]) - plt.title(title, loc='left') - -#Gplot = G.rolling(x=5, min_periods= 1, center=True).mean() -#Gmean = G_LS_wmean.rolling(x=2, min_periods= 1, center=True).mean() -Gmean = G_LS_wmean.rolling(k=5, center=True).mean() -#Gmean = Gmean.where(~np.isnan(Gmean), 0) - -k_max_range = Gmean.k[Gmean.mean('x').argmax().data].data* 0.75, Gmean.k[Gmean.mean('x').argmax().data].data* 1, Gmean.k[Gmean.mean('x').argmax().data].data* 1.25 - -# %% -font_for_print() -F = M.figure_axis_xy(6.5, 5.6, container= True, view_scale =1) - -plt.suptitle('LS and FFT Slope Spectrograms\n' + track_name, y = 0.98) -gs = GridSpec(3,3, wspace=0.2, hspace=.5)#figure=fig, -#clev=np.arange(0, 6, 0.1)*3 - -#%matplotlib inline - -clev = M.clevels( [Gmean.quantile(0.01).data, Gmean.quantile(0.99).data * 1.2], 31)* 1 -xlims= Gmean.x[0]/1e3, Gmean.x[-1]/1e3 - -for pos, k, pflag in zip([gs[0, 0],gs[0, 1],gs[0, 2] ], high_beams, [True, False, False] ): - ax0 = F.fig.add_subplot(pos) - Gplot = G_LS_sel[k].squeeze()#.rolling(k=10, x=2, min_periods= 1, center=True).mean() - #Gplot.mean('x').plot() - - # #plt.pcolormesh(G.x/1e3, 1/G.k , G, norm=colors.LogNorm(vmin=G.min()*1e6, vmax=G.max()), cmap='PuBu')#, vmin = clev[0], vmax = clev[-1]) - # - #np.log(Gplot).plot() - plot_wavenumber_spectrogram(ax0, Gplot, clev, title =k, plot_photon_density=True ) - plt.xlim(xlims) - # - if pflag: - plt.ylabel('Wave length\n(meters)') - plt.legend() - - -for pos, k, pflag in zip([gs[1, 0],gs[1, 1],gs[1, 2] ], low_beams, [True, False, False] ): - ax0 = F.fig.add_subplot(pos) - Gplot = G_LS_sel[k].squeeze()#.rolling(k=10, x=2, min_periods= 1, center=True).mean() - #Gplot.mean('x').plot() - - # #plt.pcolormesh(G.x/1e3, 1/G.k , G, norm=colors.LogNorm(vmin=G.min()*1e6, vmax=G.max()), cmap='PuBu')#, vmin = clev[0], vmax = clev[-1]) - # - plot_wavenumber_spectrogram(ax0, Gplot, clev, title =k, plot_photon_density=True ) - plt.xlim(xlims) - # - if pflag: - plt.ylabel('Wave length\n(meters)') - plt.legend() - -pos, k, pflag = gs[2, 0], 'Power(weighted mean) \n10 $\log_{10}( (m/m)^2 m )$', True -ax0 = F.fig.add_subplot(pos) -Gplot = G_LS_wmean.squeeze().rolling(k=5, min_periods= 1, center=True).median().rolling(x=3, min_periods= 1, center=True).median() - -dd = 10 * np.log10(Gplot) -dd= dd.where(~np.isinf(dd), np.nan ) -clev_log = M.clevels( [dd.quantile(0.01).data, dd.quantile(0.98).data * 1.2], 31)* 1 -plot_wavenumber_spectrogram(ax0, dd, clev_log , title =k, plot_photon_density= True) -plt.xlim(xlims) - -# plt.plot(Gplot.x/1e3, 10* nan_list +20 , c='black', label='NAN-density' ) -# ax0.axhline(30, color='black', linewidth=0.5) - -ax0.axhline(1/k_max_range[0], color='red', linestyle= '--', linewidth= 0.5) -ax0.axhline(1/k_max_range[1], color='red', linestyle= '-', linewidth= 0.5) -ax0.axhline(1/k_max_range[2], color='red', linestyle= '--', linewidth= 0.5) - -if pflag: - plt.ylabel('Wave length\n(meters)') - plt.legend() - -pos = gs[2, 1] -ax0 = F.fig.add_subplot(pos) -plt.title('Photons density ($m^{-1}$)', loc='left') - -for k,I in G_LS.items(): - plt.plot(Gplot.x/1e3, I.N_photons/Lmeters, label=k, linewidth=0.8) -plt.plot(Gplot.x/1e3, G_LS_wmean.N_photons/3/Lmeters , c='black', label='ave Photons' , linewidth=0.8) -plt.xlim(xlims) -plt.xlabel('Distance from the Ice Edge (km)') - -pos = gs[2, 2] - -ax0 = F.fig.add_subplot(pos) -ax0.set_yscale('log') - -plt.title('Peak Spectal Power', loc='left') - -for k,I in G_LS_sel.items(): - plt.scatter(I.x.data/1e3, I.sel(k=slice(k_max_range[0], k_max_range[2])).integrate('k').data *1e3 , s=0.5, marker='.', color='red', alpha= 0.3) - -for k,I in G_rar_fft.items(): - I= I.squeeze() - I= I[:,I.N_per_stancil >= I.N_per_stancil.max().data*0.9] - plt.scatter(I.x/1e3, I.sel(k=slice(k_max_range[0], k_max_range[2])).integrate('k') *1e3 , s=0.5, marker='.', c='blue', alpha= 0.3) - - -Gplot= G_fft_wmean.squeeze() -Gplot = Gplot[:,Gplot.N_per_stancil >= Gplot.N_per_stancil.max().data*0.9] -plt.plot(Gplot.x/1e3, Gplot.sel(k=slice(k_max_range[0], k_max_range[2])).integrate('k') *1e3, '.', markersize=1.5 , c='blue', label= 'FFT') - -Gplot= G_LS_wmean.squeeze() -plt.plot(Gplot.x/1e3, Gplot.sel(k=slice(k_max_range[0], k_max_range[2])).integrate('k') *1e3 , '.' , markersize=1.5, c='red', label= 'LS') - -plt.ylabel('1e-3 $(m)^2~m$') -plt.legend() -plt.ylim(Gplot.min()*1.4, Gplot.max()*1.4 ) -plt.xlim(xlims) - -#F.save_light(path=plot_path, name = 'B02_specs_' + track_name +'_L'+str(Lmeters)) - -# %% repack data -def repack_attributes(DD): - DD = G_LS - attr_dim_list = list(DD.keys()) - for k in attr_dim_list: - for ka in list(DD[k].attrs.keys()): - I = DD[k] - I.coords[ka] = ( 'beam', np.expand_dims(I.attrs[ka], 0) ) - return DD - -G_LS[G_LS_wmean.beam.data[0]] =G_LS_wmean -G_rar_fft[G_fft_wmean.beam.data[0]] =G_fft_wmean - -G_LS = repack_attributes(G_LS) -G_rar_fft = repack_attributes(G_rar_fft) - -# %% save results -G_LS_DS = xr.merge(G_LS.values()) -G_LS_DS['name'] = 'LS_power_spectra' -#G_LS_DS.to_netcdf(save_path+save_name+'_LS.nc') - -G_fft_DS = xr.merge(G_rar_fft.values()) -G_fft_DS['name']= 'FFT_power_spectra' -#G_fft_DS.to_netcdf(save_path+save_name+'_FFT.nc') diff --git a/analysis/B03_coherence_direction.py b/analysis/B03_coherence_direction.py deleted file mode 100644 index 0c5e1f37..00000000 --- a/analysis/B03_coherence_direction.py +++ /dev/null @@ -1,321 +0,0 @@ - -import os, sys -#execfile(os.environ['PYTHONSTARTUP']) - -""" -This file open a ICEsat2 track applied filters and corections and returns smoothed photon heights on a regular grid in an .nc file. -This is python 3 -""" - -exec(open(os.environ['PYTHONSTARTUP']).read()) -exec(open(STARTUP_2021_IceSAT2).read()) - -#%matplotlib inline - -import ICEsat2_SI_tools.convert_GPS_time as cGPS -import h5py -import ICEsat2_SI_tools.io as io -import ICEsat2_SI_tools.spectral_estimates as spec - -import imp -import copy -import spicke_remover -import datetime -import concurrent.futures as futures -#import s3fs -# %% -track_name, batch_key, test_flag = io.init_from_input(sys.argv) # loads standard experiment -#track_name, batch_key, test_flag = '20190605061807_10380310_004_01', 'SH_batch01', False -#track_name, batch_key, test_flag = '20190601094826_09790312_004_01', 'SH_batch01', False -#track_name, batch_key, test_flag = '20190207111114_06260210_004_01', 'SH_batch02', False -track_name, batch_key, test_flag = '20190219073735_08070210_004_01', 'SH_batch02', False - - - - -#print(track_name, batch_key, test_flag) -hemis, batch = batch_key.split('_') -#track_name= '20190605061807_10380310_004_01' -ATlevel= 'ATL03' - -save_path = mconfig['paths']['work'] + '/B03_spectra_'+hemis+'/' -save_name = 'B03_'+track_name - -plot_path = mconfig['paths']['plot'] + '/'+hemis+'/'+batch_key+'/' + track_name + '/B_spectra/' -MT.mkdirs_r(plot_path) -MT.mkdirs_r(save_path) -bad_track_path =mconfig['paths']['work'] +'bad_tracks/'+ batch_key+'/' -# %% - -all_beams = mconfig['beams']['all_beams'] -high_beams = mconfig['beams']['high_beams'] -low_beams = mconfig['beams']['low_beams'] -#Gfilt = io.load_pandas_table_dict(track_name + '_B01_regridded', load_path) # rhis is the rar photon data - -load_path = mconfig['paths']['work'] +'/B01_regrid_'+hemis+'/' -Gd = io.load_pandas_table_dict(track_name + '_B01_binned' , load_path) # -load_path = mconfig['paths']['work'] + '/B02_spectra_'+hemis+'/' -Gpars = io.load_pandas_table_dict('B02_'+ track_name + '_params' , load_path) # -Gspec = xr.open_dataset(load_path + 'B02_'+ track_name + '_LS.nc' ) # -Gspec['Y_model_hat'] = Gspec.Y_model_hat_real + Gspec.Y_model_hat_imag *1j -Gspec = Gspec.drop('Y_model_hat_real').drop('Y_model_hat_imag') - -dk = Gspec.k.diff('k').mean().data -Lpoints = Gspec.Lpoints - -Gspec = Gspec.sel(k = slice(0.000125, 0.025)).isel(x =slice(4, 30)) - -Gspec.coords['f'] = (('k'), np.sqrt(Gspec.k.data * 9.81)/ 2/np.pi ) -Gspec.coords['T'] = 1/Gspec.coords['f'] -Gspec=Gspec.swap_dims({'k': 'f'}) - -#Gspec.spectral_power_optm.sel(beam='weighted_mean').plot() -# %% -#k_lim= 0.02 -A, B = Gspec.sel(beam= 'gt2r').Y_model_hat , Gspec.sel(beam= 'gt2l').Y_model_hat - -r_ave_kargs={'x':2, 'f':10, 'center':True, 'min_periods':2} -r_ave_kargs2={'f':10, 'center':True, 'min_periods':2} -#(abs(B) - abs(A)).plot() -S_aa = (A*A.conj()).real -S_bb = (B*B.conj()).real -#co_spec = (A.conj() *B) /S_aa/S_bb -# abs(co_spec).plot() -co_spec = (A.conj() *B) -np.log(abs(co_spec)).plot(levels=np.arange(-2, 3, 0.1)) - -co_spec = (A.conj() *B).rolling(**r_ave_kargs).mean()# -np.log(abs(co_spec)).plot(levels=np.arange(-2, 3, 0.1)) - -(abs(co_spec)).plot(levels=np.exp(np.arange(-3, 2, 0.1))) - -abs(co_spec).mean('x').plot() - -#(abs(co_spec)/(S_aa *S_bb).rolling(**r_ave_kargs).mean()).plot() -# -# (abs(A.conj() *B)/(S_aa *S_bb)).rolling(**r_ave_kargs).mean()[:,:].plot() - -from xhistogram.xarray import histogram - -phase = np.arctan2( -co_spec.imag, co_spec.real ) -phase.plot() - -# %% -pi_sel = phase.isel(x=0) - -f = phase.f -f_pos = abs(co_spec).isel(x=0).rolling(f=10).mean().argmax().data - - - -def adjust_phase_forward(pi, f_pos, f_size): - - for fi in np.arange(f_pos+1, f_size): - #print(fi,pi[fi] ) - dpi1 = pi[fi] - pi[fi-1] - if abs(dpi1)/(2*np.pi) > (2 *np.pi): - dpi1= dpi1 - np.sign(dpi1) * np.floor(abs(dpi1)/(2*np.pi)) * 2 *np.pi - - dpi2 = - np.sign(dpi1) * (2* np.pi - np.sign(dpi1) * dpi1) - dds = np.array([dpi1, dpi2]) - pi[fi] = pi[fi-1] + dds[np.argmin(abs(dds))] - #print(pi[fi] ) - return pi - -def adjust_phase_backward(pi, f_pos, f_size): - - for fi in np.arange(f_pos-1, -1, -1): - #print(fi,pi[fi] ) - dpi1 = pi[fi] - pi[fi+1] - if abs(dpi1)/(2*np.pi) > (2 *np.pi): - dpi1= dpi1 - np.sign(dpi1) * np.floor(abs(dpi1)/(2*np.pi)) * 2 *np.pi - - dpi2 = - np.sign(dpi1) * (2* np.pi - np.sign(dpi1) * dpi1) - dds = np.array([dpi1, dpi2]) - pi[fi] = pi[fi+1] + dds[np.argmin(abs(dds))] - #print(pi[fi] ) - return pi - -def adjust_phase_freq(pi, f_pos, f_size): - - pi = adjust_phase_forward(pi, f_pos, f_size) - - pi = adjust_phase_backward(pi, f_pos, f_size) - return pi -# %% -pi = np.copy(pi_sel) -pi =adjust_phase_freq(pi, f_pos, f.size) -#pi =adjust_phase_freq(pi, f_pos, f.size) - -plt.plot(pi_sel/np.pi, 'k--') -plt.plot(pi/np.pi) -plt.grid() - -# %% -phase = np.arctan2( -co_spec.imag, co_spec.real ) -phase_data = np.zeros(phase.T.shape)*np.nan - -for xi in range(phase.x.size): - #print(xi.data) - pi = np.copy(phase.isel(x= xi)) - phase_data[xi,:] =adjust_phase_freq(pi, f_pos, f.size) - -phase_adjust = phase.copy() -phase_adjust.data = phase_data.T / np.pi -phase_adjust.plot() - - -phase_adjust.where(phase_adjust < np.pi, phase_adjust - 2* np.pi).plot() -# for fi in range(phase_adjust.f.size): -# #print(xi.data) -# pi = np.copy(phase_adjust.isel(f= fi)) -# phase_data[:, fi] =adjust_phase_forward(pi, 0, phase_adjust.x.size) -# -# phase_adjust.plot() -# -# for xi in range(phase.x.size): -# #print(xi.data) -# pi = np.copy(phase_adjust.isel(x= xi)) -# phase_data[xi,:] =adjust_phase_freq(pi, f_pos, f.size) -# -# -# phase_adjust.plot() -# %% -phase_adjust = phase_adjust.where(phase_adjust < 1 , phase_adjust -2) -phase_adjust = phase_adjust.where(phase_adjust > -1 , phase_adjust +2) -phase_adjust.plot() -# %% -phase_filtered= (phase_adjust.where(abs(co_spec)>0.2, np.nan)) -phase_filtered.plot() - - -x_prime= (phase_filtered.x - phase_filtered.x[0] )/1e3 - -y_prime = (phase_filtered.k/ 2/ np.pi) -plt.pcolormesh( x_prime , y_prime, phase_filtered.data) -plt.ylabel('1/lambda') - -# %% - -font_for_pres() -lala= 2* np.pi/phase_filtered.k -plt.pcolormesh( x_prime , 1/y_prime, phase_filtered * lala /2, vmin=-1000, vmax=1000, cmap=plt.cm.coolwarm) -plt.ylabel('wave length (meters)') -plt.colorbar(label='meters of phase shift') -plt.yscale('log') -plt.ylim(0, 1e4) - -# %% - - -plt.plot(1/y_prime, (phase_filtered* lala /2), '-') -# %% - -histogram(phase_adjust, bins=[20], dim=['x'], weights=abs(co_spec)).rolling(**r_ave_kargs2).mean().T.plot() - -# %% - -phase_hist = histogram(phase_adjust, bins=[20], dim=['x'], weights=abs(co_spec)) - -phase_hist.rolling(**r_ave_kargs2).mean().T.plot(cmap=plt.cm.ocean_r, levels=np.arange(-1, 18, 0.5)) -plt.ylabel('radients (1/pi)') -plt.grid() -#histogram(phase_adjust, bins=[20], dim=['x']).rolling(**r_ave_kargs2).mean().T.plot() - -# %% -phase_hist = histogram(phase_adjust, bins=[100], dim=['f'], weights=abs(co_spec)) -phase_hist.T.plot(cmap=plt.cm.ocean_r, levels=np.arange(-1, 20, 0.5) ) -plt.ylabel('radients (1/pi)') -plt.grid() -#phase_hist.rolling(**r_ave_kargs2).mean().T.plot(cmap=plt.cm.ocean_r, levels=np.arange(-1, 20, 0.5)) -# %% - -phase_adjust = phase_adjust.where(phase_adjust < 1 , phase_adjust -2) -phase_adjust = phase_adjust.where(phase_adjust > -1 , phase_adjust +2) -phase_hist = histogram(phase_adjust, bins=[60], dim=['f'], weights=abs(co_spec)) -phase_hist.T.plot(cmap=plt.cm.ocean_r, levels=np.arange(-1, 20, 0.5) ) -plt.ylabel('radients (1/pi)') -plt.grid() -# %% -phase_hist.T.rolling(Y_model_hat_bin = 5, x=10, center= True, min_periods= 2).mean().plot(cmap=plt.cm.ocean_r, levels=np.arange(-1, 10, 0.5) ) -plt.ylabel('radients (1/pi)') -plt.grid() - -# %% -histogram(phase, bins=[60], dim=['f']).T.plot() - -plt.plot(phase, 'k', linewidth= 1, alpha =0.5) -#plt.plot(phase.k, phase, 'k', linewidth=0.8, alpha= 0.6) -phase.sel(x=slice(500000, 600000)).mean('x').rolling(k=20, center=True, min_periods=2).mean().plot()#.hist(bins= 40) -phase.sel(x=slice(500000, 600000)).mean('x').rolling(k=20, center=True, min_periods=2).std().plot()#.hist(bins= 40) - -# %% -phase.mean('x').plot()#.hist(bins= 40) - -phase.where(phase > np.pi/2, phase + np.pi).plot() - - -C_ab= abs(co_spec)**2 #/ S_aa/ S_bb -np.log(C_ab).sel(k=slice(0, 0.03)).plot() - -C_ab= abs(co_spec)**2 / S_aa/ S_bb -(C_ab).sel(k=slice(0, 0.03)).plot(levels = np.arange(0.5, 1+0.1, 0.05)) -#(C_ab.where(~np.isnan(C_ab), 0)).sel(k=slice(0, 0.03)).plot.hist(bins= 30) - -x_nan_mask = (~np.isnan(C_ab)).sum('k') == 0 - -C_ab[:, ~x_nan_mask].min() - -phase = np.arctan2( -co_spec.imag, co_spec.real ) - -plt.plot( phase ) -plt.plot(S_bb, 'k', linewidth= 0.5, alpha =0.5) - -np.nanmin(C_ab.imag) -np.nanmax(C_ab.imag) -Gspec.beam - -# %% -Ai = A.sel(x= 500000, method='nearest') -Bi = B.sel(x= 500000, method='nearest') - -M.figure_axis_xy(10, 2.5, view_scale= 0.7) -plt.plot(np.fft.irfft(Ai) ) -plt.plot(np.fft.irfft(Bi) ) - -# %% - - -co_spec=Ai.imag *Bi.real -C_ab= abs(co_spec)**2 / ( (Ai * Ai.conj()).real * (Bi * Bi.conj()).real ) -plt.plot(C_ab.k, C_ab) -#plt.semilogx(C_ab.k, abs(Ai.imag *Bi.real)**2) - - -phase = np.arctan2( -co_spec.imag, co_spec.real ) -phase[phase <- np.pi/2] = phase[phase < - np.pi/2] + np.pi -phase.plot.hist() -plt.plot(phase.k, phase) -# %% - - -def get_coherency(d1, d2, Lint, dt=None): - """ - returns the squared coherence Cxy and its phase - """ - from scipy import signal - - if dt is None: - dt =np.diff((dd.time - dd.time[0]).data.astype('m8[D]')).mean().astype('int') - else: - dt= dt - - coh = signal.coherence( d1, d2, fs=1/dt, window ='hann', nperseg=Lint, noverlap=None, detrend='linear') - - co_spec = signal.csd( d1, d2, fs=1/dt, window ='hann', nperseg=Lint,noverlap=None, detrend='linear') - phase = np.arctan2( -co_spec[1].imag, co_spec[1].real ) - - #Spec = m_spec.Spectrum(dd, dt=dt, verbose=False) - #co_spec = signal.csd( d1, d2, fs=1/dt, window ='hann', nperseg=Lint) - #np.arctan2(-) - return {'f' : coh[0], 'coh2' : coh[1], 'coh' : np.sqrt(abs(coh[1])), 'cospec' :co_spec , 'phase':phase} diff --git a/analysis/SA01_download_tracks.py b/analysis/SA01_download_tracks.py deleted file mode 100644 index 9c3a1e50..00000000 --- a/analysis/SA01_download_tracks.py +++ /dev/null @@ -1,117 +0,0 @@ -import os, sys -#execfile(os.environ['PYTHONSTARTUP']) - -""" -This is a test file, playing with the Earth data login and icepyx. - -""" - -exec(open(os.environ['PYTHONSTARTUP']).read()) -exec(open(STARTUP_2021_IceSAT2).read()) - -#%matplotlib inline -#from pprint import pprint - -import icepyx as ipx -import m_tools_ph3 as MT - - -# %% -downlaod_path = mconfig['paths']['scratch'] +'/SH_batch02/' -path = mconfig['paths']['analysis']+'../track_lists/' -MT.mkdirs_r(downlaod_path) - -flist = MT.json_load('Batch02_alex_tracks', path) - -D = pd.DataFrame(flist) - -def str2dt64(s): - return np.datetime64(s[0:4]+'-'+s[4:6]+'-'+s[6:8]) - -D['date'] = D[0].apply(lambda row: str2dt64(row[0:8]) ) - -dmin, dmax = D['date'].min(), D['date'].max() -dmin, dmax - -D['RGT'] = D[1].apply(lambda row: row[0:4]) -D['cycle'] = D[1].apply(lambda row: row[4:6]) -D['segment'] = D[1].apply(lambda row: row[6:8]) -#D['segment'].hist() - -D['id'] = D[0]+'_'+D[1] -#D['id_compare'] = D[0]+'_'+ -D['id_compare'] = D['RGT']+D['cycle'] - -Dsub = D[0:2] - -# %% -# list(set(D['cyle'])) -# len(D['RGT']) -# len(set(D['RGT'])) - -# %% - -date_range =[str(dmin).split(' ')[0],str(dmax).split(' ')[0]] -region_a = ipx.Query('ATL03',[30, -70, -30, -55],date_range, \ - start_time='00:00:00', end_time='23:59:59', \ - tracks = list(Dsub['RGT'])) - -region_a.earthdata_login('mhell','mhell@ucsd.edu') -# @[49[4tK\-qBWB%5 - -# %% -region_a.avail_granules() -region_a.avail_granules(ids=True) - -# %% -#region_a.visualize_spatial_extent() -#region_a.order_vars.remove(all=True) - -ATL03_var_list = ['dem_h', 'delta_time', 'lon_ph', 'lat_ph', 'h_ph', 'dist_ph_along', 'atlas_sdp_gps_epoch', 'signal_conf_ph'] -region_a.order_vars.append(var_list=ATL03_var_list)#, keyword_list=['orbit_info']) -region_a.order_vars.append( keyword_list=['orbit_info']) -#region_a.order_vars.wanted - -region_a.subsetparams(Coverage=region_a.order_vars.wanted) -region_a.tracks -#region_a.file_vars - -# %% -help(region_a.granules) -#region_a.granules.__dict__ -#region_a.granules.avail[0].keys() - -type(region_a.granules.avail) -gran_list = [i['producer_granule_id'] for i in region_a.granules.avail] - -len(gran_list) - -sub_set= list() -for id_wanted in Dsub['id_compare']: - sub_set.append([i for i in gran_list if id_wanted in i][0]) - - -gran_to_delete = list(set(gran_list) - set(sub_set)) - -# %% -wanted_granuals= list() -for i in region_a.granules.avail: - if any( [id_wanted in i['producer_granule_id'] for id_wanted in Dsub['id_compare']] ): - print(i) - wanted_granuals.append(i) - -region_a.granules.avail = wanted_granuals - -#help(region_a.granules) -len(region_a.granules.avail) -region_a.avail_granules(ids=True) -region_a.granules.download(verbose= True, path=downlaod_path ) - - -# print('check how many granuals are available') -# download_stars=region_a.avail_granules() -# print( download_stars ) -# # %% -# -# print('download '+ str(download_stars['Number of available granules']) + ' granules') -# region_a.download_granules(downlaod_path) diff --git a/analysis/SB02_make_spectra_LS.py b/analysis/SB02_make_spectra_LS.py deleted file mode 100644 index d82fff1e..00000000 --- a/analysis/SB02_make_spectra_LS.py +++ /dev/null @@ -1,674 +0,0 @@ -import os, sys -#execfile(os.environ['PYTHONSTARTUP']) - -""" -This file open a ICEsat2 track applied filters and corections and returns smoothed photon heights on a regular grid in an .nc file. -This is python 3 -""" - -exec(open(os.environ['PYTHONSTARTUP']).read()) -exec(open(STARTUP_2021_IceSAT2).read()) - -base_path='/Users/Shared/Projects/2021_IceSAT2_tracks/' -sys.path.append(base_path +'modules/') -sys.path.append(base_path +'modules/ICEsat2_SI_tools/') - -import matplotlib.pyplot as plt -%matplotlib inline - -#import m_general as M -#import m_tools as MT -import numpy as np - -import m_general_ph3 as M - -import netCDF4 -import datetime -import os -from netCDF4 import Dataset -import xarray as xr -import pandas as pd - -import ICEsat2_SI_tools.convert_GPS_time as cGPS -import h5py -import ICEsat2_SI_tools.io as io -import ICEsat2_SI_tools.spectral_estimates as spec - -import imp - - - -#import s3fs -# %% - -# Python reader based on Pandas. Other reader examples available in readers.py -plot_path = mconfig['paths']['plot'] + '/tests/' - - -track_name= 'ATL03_20190515060436_07170312_002_02' -load_path = base_path + 'data/data1/' - -# test which beams exist: -all_beams = ['gt1l', 'gt1r', 'gt2l', 'gt2r', 'gt3l', 'gt3r'] -low_beams = ['gt1l', 'gt2l', 'gt3l'] -high_beams = ['gt1r', 'gt2r', 'gt3r'] - -# %% - -#Gall= xr.open_dataset(load_path+'/'+track_name +'_filtered_photon_heights.nc') -imp.reload(io) -Gfilt = io.load_pandas_table_dict(track_name + '_B01_corrected', load_path) -Gd = io.load_pandas_table_dict(track_name + '_B01_binned' , load_path) - -# %% -Gi =Gd[high_beams[0]] -Gi = Gi[~np.isnan(Gi['heights_c_weighted_mean'])].sort_values('dist') -#np.isnan(Gi['dist']).sum() -Gi = Gi[(Gi['dist'] > 140000) & (Gi['dist'] < 160001)] - -# %% - -plt.plot( Gi['dist'], Gi['heights_c_weighted_mean'], '-') -#plt.xlim(140000, 145000) -plt.ylim(-1, 1) - -#np.diff(np.array(Gi['dist'])) -# %% test and compare to FFT -from scipy.signal import detrend -y =detrend(np.array(Gi['heights_c_weighted_mean']) ) -f_fft2, df2 = spec.calc_freq_fft( np.array(Gi['dist']), y.size) -spec_fft2 = spec.calc_spectrum_fft(y, df2, np.array(Gi['dist']).size) -f_fft2_regular, spec_fft2_regular = f_fft2, spec_fft2 - - - -# %% -# test getting phase - -t_base =np.array(Gi['dist']) -t_base = t_base - t_base[0]#.mean() -m1 = ls.offset() * np.ones(len(t_base)) -m1_man = ls.offset() * np.ones(len(t_base)) -fi_divide= 1000 -thetas = np.zeros([2]) -thetas_v2 = np.zeros([2]) - - -N_f = f_fft2.size -fft_contstruct = np.complex128(np.zeros(N_f)) -fft_contstruct[0] = 0 + np.complex128(0) -LS_power_construct = np.complex128(np.zeros(N_f)) - -for fi, i in zip( f_fft2[1:], np.arange(1,N_f+1)): - #m1 += ls.model(t_base, fi) - #print(ls.model_parameters(fi)) - theta = ls.model_parameters(fi) - phi = t_base * 2 * np.pi *fi - THETA = 0#np.arctan2( np.sin(2* phi).sum(), np.cos(2* phi).sum() )/2 - m_i = theta[1]* np.cos(phi - THETA) + theta[0] * np.sin(phi- THETA) - m1_man += m_i - - thetas = np.vstack([thetas, theta]) - - # follow Hocke anad Kämpfer - R = np.sum( theta[1] *np.cos(phi - THETA)*np.cos(phi - THETA) + theta[0] * np.sin(phi - THETA) *np.cos(phi - THETA) ) - I = np.sum( theta[1] *np.cos(phi - THETA)*np.sin(phi - THETA) + theta[0] * np.sin(phi - THETA) *np.sin(phi - THETA) ) - C = np.sum( np.cos(phi)*np.cos(phi) ) - S = np.sum( np.sin(phi)*np.sin(phi) ) - m_ii_sigma = np.var(m_i) - - P = ( (R**2 / C) + (I**2 /S) ) / (2 * m_ii_sigma) - A_ft = np.sqrt((R**2 / C + I**2 /S) * N_f/4 ) *2 - t_ave = (t_base[0] + t_base[-1])/2 - phi_ft =np.arctan2(I, R) + t_ave *fi + THETA - - fft_contstruct[i] = A_ft * (np.cos(phi_ft) + np.sin(phi_ft)* 1j) - LS_power_construct[i] = P - - theta - np.sqrt(2/N_f) * I/ np.sqrt(S), np.sqrt(2/N_f) * R/ np.sqrt(C) - -thetas = thetas[1:, :] - -# %% -# %% simple spectra -from astropy.timeseries import LombScargle -ls = LombScargle( np.array(Gi['dist']) , np.array(Gi['heights_c_weighted_mean']) , fit_mean=False) - -ls_auto_power = ls.power(f_fft2[1::] , normalization='psd') -#ls_auto_f , ls_auto_power = ls.autopower(normalization='psd', samples_per_peak=0.1) - -plt.plot(f_fft2[1::] , spec.LS_power_to_PSD(ls_auto_power, y.size, df2) , label= 'LS') - -plt.plot(f_fft2[1:] , LS_power_construct[1:] /y.size , label= 'LS construct') - - -plt.plot(f_fft2[:-1], spec_fft2 , label= 'standard FFT') -plt.legend() -plt.xlim(0, 0.01) - -# %% -# m2 = ls.offset() * np.ones(len(t_base)) -# for fi in f_fft2[fi_divide+1::1]: -# m2 += ls.model(t_base, fi) - - -plt.plot(t_base, m1_man, '-', label='LS model') - -#plt.plot(t_base, m2 - m2.mean()) - -plt.plot( t_base , np.array(Gi['heights_c_weighted_mean']) , c='black', label=' org. data') -plt.xlim(t_base[100], t_base[700]) -plt.legend() - -# %% fft again -phih_from_LS = np.fft.rfft(m1_man) -phih_from_data = np.fft.rfft(y) - -f_fft3 = np.fft.rfftfreq(m1_man.size, d=10.0) - -f_fft2.shape - -N=y.size - -fft_contstruct.imag.std() -phih_from_data.imag.std() -phih_from_LS.imag.std() - -fft_contstruct.real.std() -phih_from_data.real.std() -phih_from_LS.real.std() - -abs(fft_contstruct).sum() -abs(phih_from_data).sum() - -# compare FFT coefficients again -F= M.figure_axis_xy(10, 2.5, view_scale= 0.8) -plt.plot(f_fft2, abs(fft_contstruct) ) -plt.plot(f_fft2[0:-1], abs(phih_from_data) ) -#F.ax.set_xscale('log') -plt.xlim(0, 0.01) - - -# %% - -M.figure_axis_xy(10, 2.5, view_scale= 0.8) -plt.plot(f_fft2, (fft_contstruct.imag )) -plt.plot(f_fft2[0:-1], (phih_from_LS.imag ) ) -plt.xlim(0, 0.01) - - - -# %% -# spec_fft3 = 2.*(phih*phih.conj()).real / df2 /np.array(Gi['dist']).size**2 -# -# plt.semilogy(f_fft2[1:-1], spec_fft3[1:] , 'r') -# plt.semilogy(f_fft2[1::] , spec.LS_power_to_PSD(ls_auto_power, y.size, df2), 'k' ) -#plt.xlim(0, 0.01) -# %% -# phih_from_data.shape -# phih_flat = np.copy(phih) -# phih_flat[150::] = 0 - -m1_man_inv = np.fft.irfft(phih_from_data) -plt.plot(t_base[1:], m1_man_inv , '-', label=' iFFT(FFT(LS model))') -#plt.plot(t_base, m1_man, '*') -plt.plot( t_base , np.array(Gi['heights_c_weighted_mean']) - np.array(Gi['heights_c_weighted_mean']).mean() , c='black', label=' org. data') - -fft_contstruct_inv = np.fft.irfft(1j*fft_contstruct) -plt.plot(t_base, fft_contstruct_inv[1:], '-', label=' iFFT( FFT constructed from LS)') - -plt.xlim(t_base[-500], t_base[-100]) -plt.legend() - -# %% single frequency tests -fi = f_fft2[abs(phih_from_data ).argmax()] - - -t_base_short = t_base[0:100] - t_base[0] -theta_i = ls.model_parameters(fi) -m_single = theta_i[0] * np.sin(t_base_short * 2 * np.pi *fi ) + theta_i[1]* np.cos(t_base_short * 2 * np.pi *fi) - -alpha = 3 -#m_single2 = alpha * theta_i[0] * np.sin(t_base_short * 2 * np.pi *fi ) + alpha * theta_i[1]* np.cos(t_base_short * 2 * np.pi *fi) -m_single3 = - np.sign(sum(theta_i)) * np.linalg.norm(theta_i) * np.sin(t_base_short * 2 * np.pi *fi + np.arctan2(theta_i[1],theta_i[0])) - -z_i_fft = phih_from_data[abs(phih_from_data ).argmax()] -m_single_fft = - np.sign(z_i_fft.real+z_i_fft.imag) * (z_i_fft).real * np.sin(t_base_short * 2 * np.pi *fi + np.arctan2(z_i_fft.imag,z_i_fft.real)) - - - -plt.plot(t_base_short, m_single) -#plt.plot(t_base_short, m_single2) -plt.plot(t_base_short[:], m_single3[:], 'k.') -#plt.plot(t_base_short[:], m_single_fft[:], 'r') - - -# %% -def reconstruct_data_from_LS(LS, x_real_axis, freq): - """ - This method return reconstructed field given a LombScargle object. - LS is the LombScargle object - x_real_axis is the x coordinate of the original data (np.array) - freq is the frequency grid on which the field is reconstructed - """ - # t_base =np.array(Gi['dist']) - y_reconstruct = LS.offset() * np.ones(len(x_real_axis)) - - freq_seq = freq[1::] if freq[0] == 0 else freq - - for fi in freq_seq: - theta = LS.model_parameters(fi) - y_reconstruct += theta[0] + theta[1] * np.sin(x_real_axis * 2 * np.pi *fi ) + theta[2]* np.cos(x_real_axis * 2 * np.pi *fi) - - return y_reconstruct - -def get_missfit_error(data, model): - return np.nanmean( (data-model)**2)/ np.nanstd(data) - -y_model = reconstruct_data_from_LS(ls, np.array(Gi['dist']), f_fft2 ) -y_model_fft = np.fft.rfft(y_model) -y_model_r = get_missfit_error(np.array(Gi['heights_c_weighted_mean']) , y_model) - - -# %% tests -# maximum to be resolved wavenumber -T = 40 #sec -k_0 = (2 * np.pi/ T)**2 / 9.81 - -1/k_0 -x= np.array(Gi['dist']) -dt = np.diff(x).mean() -#dt = np.diff(np.array(Gi['dist'])).mean() -min_datapoint = 1/k_0/dt -L = int(np.round(min_datapoint) * 10) -S_pwelch_fft = spec.wavenumber_spectrogram(x , np.array(Gi['heights_c_weighted_mean']), L) -G_pwelch_fft = S_pwelch_fft.cal_spectrogram() - - -S_pwelch_ls = spec.wavenumber_spectrogram(x, np.array(Gi['heights_c_weighted_mean']), L) -G_pwelch_fft = S_pwelch_fft.cal_spectrogram() - -# %% -imp.reload(spec) -y =detrend(np.array(Gi['heights_c_weighted_mean']) ) - - -S_pwelch_k, S_pwelch_dk = spec.calc_freq_LS( x, L, method='fftX2', minimum_frequency=None, maximum_frequency=None, samples_per_peak=0.5) - -S_pwelch_ls = spec.wavenumber_spectrogram_LS_even(x, y, L, waven_method = S_pwelch_k , dy=None , ov=None, window=None, kjumps=2) -G_pwelch_ls = S_pwelch_ls.cal_spectrogram() -S_pwelch_ls.parceval() -plt.plot(G_pwelch_ls.k , G_pwelch_ls.mean('x') ) -plt.plot(G_pwelch_fft.k , G_pwelch_fft.mean('x') , 'k') - - -plt.xlim(0, 0.02) - - -# %% test LS with an even grid where missing values are set to 0 -imp.reload(spec) - -Gi =Gd[high_beams[0]] -#Gi = Gi[~np.isnan(Gi['heights_c_weighted_mean'])].sort_values('dist') -# derive spectal limits -T_max = 50 #sec -k_0 = (2 * np.pi/ T_max)**2 / 9.81 -x= np.array(Gi['dist']) -dx = np.diff(x).mean() -min_datapoint = 1/k_0/dx -L = int(np.round(min_datapoint) * 20) - -#plt.plot(np.diff(np.array(Gi['dist']))) - -print(L) -print(L*dx) -print(Gi['dist'].iloc[-1] /L ) - -S_pwelch_k, S_pwelch_dk = spec.calc_freq_LS( x, L, dx= dx, method='fftX2', minimum_frequency=None, maximum_frequency=None, samples_per_peak=0.01) -hkey= 'heights_c_weighted_mean' -G2= dict() -for k in high_beams: - - x= Gd[k]['dist'] - dd =Gd[k][hkey] - dd_nans = np.isnan(dd) - dd= dd[~dd_nans] - x= x[~dd_nans] - dd = (dd -dd.mean()) - #dd = np.gradient(dd) - #np.isnan(dd).sum() - S = spec.wavenumber_spectrogram_LS_even( np.array(x), np.array(dd), L, waven_method = S_pwelch_k , dy=None , ov=None, window=None, kjumps=2) - G = S.cal_spectrogram() - S.mean_spectral_error() # add x-mean spectal error estimate to xarray - S.parceval(add_attrs= True) - - G['x'] = G.x * dx - - stancil_iter = spec.create_chunk_boundaries(L, np.array(dd).size) - def get_stancil_nans(stancil): - idata = Gd[k]['N_photos'][stancil[0]:stancil[-1]] - return stancil[1], idata.sum() - - photon_list = np.array(list(dict(map( get_stancil_nans, stancil_iter )).values())) - - G2[k] = G - G2[k].coords['N_photos'] = (('x'), photon_list) - - -# %% -font_for_pres() - -plt.plot(G.k, G.mean('x')) -# %% -#Gplot = G.rolling(x=5, min_periods= 1, center=True).mean() -Gplot = G.rolling(k=10, x=2, min_periods= 1, center=True).mean() - -import matplotlib.colors as colors -from matplotlib.gridspec import GridSpec - -font_for_print() -F = M.figure_axis_xy(6.5, 5.6, container= True, view_scale =0.8) - -plt.suptitle('LS on regular grid', y = 0.95) -gs = GridSpec(3,3, wspace=0.1, hspace=0.7)#figure=fig, -#clev=np.arange(0, 6, 0.1)*3 -clev = M.clevels(Gplot.data, 31)* 0.8 - - -for pos, k, pflag in zip([gs[0, 0],gs[0, 1],gs[0, 2] ], high_beams, [True, False, False] ): - ax0 = F.fig.add_subplot(pos) - Gplot = G2[k]#.rolling(k=10, x=2, min_periods= 1, center=True).mean() - - #plt.pcolormesh(G.x/1e3, 1/G.k , G, norm=colors.LogNorm(vmin=G.min()*1e6, vmax=G.max()), cmap='PuBu')#, vmin = clev[0], vmax = clev[-1]) - - plt.pcolormesh(Gplot.x/1e3, 1/Gplot.k , Gplot, cmap=plt.cm.ocean_r, vmin = clev[0], vmax = clev[-1]) - - plt.gca().set_yscale('log') - # plt.colorbar(orientation='vertical', pad=0.06, label='Spectral Power (m^2/m)') - plt.xlabel('Distance from the Ice Edge (km)') - plt.ylim(20,L*dx/2) - plt.title(k, loc='left') - - # plt.plot(Gplot.x/1e3, 10* nan_list +20 , c='black', label='NAN-density' ) - # ax0.axhline(30, color='black', linewidth=0.5) - - if pflag: - plt.ylabel('Wave length\n(meters)') - plt.legend() - - -G3_sum = G2[k]*0 -G3_sum['N_photos'] = G3_sum['N_photos']*0 -G3_sum= G3_sum.sel(x=slice(G3_sum.x[0],G3_sum.x[-3]) ) - -for k in high_beams: - G3_sum += G2[k].sel(x=G3_sum.x) - G3_sum['N_photos'] += G2[k].sel(x=G3_sum.x)['N_photos'] - -G3_sum= G3_sum/3 -G3_sum['N_photos'] =G3_sum['N_photos']/3 - - -pos, k, pflag = gs[1, 0], 'mean', True -ax0 = F.fig.add_subplot(pos) -Gplot = G3_sum.rolling(k=5, x=2, min_periods= 1, center=True).mean() - -#plt.pcolormesh(G.x/1e3, 1/G.k , G, norm=colors.LogNorm(vmin=G.min()*1e6, vmax=G.max()), cmap='PuBu')#, vmin = clev[0], vmax = clev[-1]) - -plt.pcolormesh(Gplot.x/1e3, 1/Gplot.k , Gplot, cmap=plt.cm.ocean_r, vmin = clev[0], vmax = clev[-1]) - -plt.gca().set_yscale('log') -# plt.colorbar(orientation='vertical', pad=0.06, label='Spectral Power (m^2/m)') -plt.xlabel('Distance from the Ice Edge (km)') -plt.ylim(20,L*dx/2) -plt.title(k, loc='left') - -# plt.plot(Gplot.x/1e3, 10* nan_list +20 , c='black', label='NAN-density' ) -# ax0.axhline(30, color='black', linewidth=0.5) - -if pflag: - plt.ylabel('Wave length\n(meters)') - plt.legend() - - -pos = gs[1, 1] -ax0 = F.fig.add_subplot(pos) -plt.title('ave photon per chunk') -plt.plot(Gplot.x/1e3, Gplot.N_photos , c='black') - - -pos = gs[1, 2] -ax0 = F.fig.add_subplot(pos) - -plt.title('spectal power decay') -plt.plot(Gplot.x/1e3, Gplot.sel(k=slice(1/500, 1/100)).integrate('k') , c='black') - -F.save_light(path=plot_path, name='exmpl_spec_LS_strong_L'+str(L*dx)) - - -# %% rar photon data - -Gi = Gfilt[high_beams[0]] -Gi = Gi[(Gi['dist'] > 140000) & (Gi['dist'] < 160001)] - -plt.plot( Gi['dist'], Gi['heights_c_weighted_mean'], '.', alpha= 0.2) -#plt.xlim(140000, 145000) -plt.ylim(-1, 1) - -#np.diff(np.array(Gi['dist'])) -# %% -from scipy.signal import detrend -y =detrend(np.array(Gi['heights']) ) -f_fft2, df2 = spec.calc_freq_fft( np.array(Gi['dist']), y.size) -f_fft2 = f_fft2[1:] -spec_fft2 = spec.calc_spectrum_fft(y, df2, np.array(Gi['dist']).size) - - - -# %% simple spectra -from astropy.timeseries import LombScargle -ls = LombScargle( np.array(Gi['dist']) , np.array(Gi['heights']) ) - -ls_power = ls.power(f_fft2_regular[1::1] , normalization='psd') -plt.plot(f_fft2_regular[1::1] , (spec.LS_power_to_PSD(ls_power, y.size, df2)) , 'r', zorder=12) - -# ls_auto_f , ls_auto_power = ls.autopower(normalization='psd', samples_per_peak=0.1) -# plt.plot(ls_auto_f , spec.LS_power_to_PSD(ls_auto_power, y.size, df2) , 'r', zorder=12) - -#plt.plot(f_fft2, spec_fft2 ) -plt.plot(f_fft2_regular, spec_fft2_regular, 'k-' ) - -plt.xlim(0, 0.01) -plt.ylim(0, 80) - - - - - - - - - - - - - -# %% ueven version - -font_for_pres() - -Gi = Gfilt[high_beams[0]] -dist_diffs= Gi.sort_values('dist')['dist'].diff() -dist_diffs.median() - - -imp.reload(spec) - -# derive spectal limits -T_max = 30 #sec -k_0 = (2 * np.pi/ T_max)**2 / 9.81 - -x = np.array(Gi.sort_values('dist')['dist']) -xdiff = np.diff(x) -xdiff = xdiff[xdiff< .1] - -#plt.hist( xdiff, bins= 40 ) -dx =np.mean(xdiff)*1e2 -#dx = 0.01#dist_diffs.median() #np.diff(np.array(Gi['dist'])).mean() -1/dx -min_datapoint = 1/k_0/dx -longest_wavelength= 1/k_0 # meters - -Lmeters = int(np.round(longest_wavelength) * 20) -print(Lmeters) -print(Gi['dist'].max()/ Lmeters ) - -# -shortest_wavenumber = 1/2 # 2 meter wave -desired_dx = 1/shortest_wavenumber - -Lpoints = Lmeters / dx -print(Lpoints) -Gi.shape[0]/ Lpoints - -S_pwelch_k, S_pwelch_dk = spec.calc_freq_LS( None, Lmeters, method='fixed_ratio', dx= dx) - -S_pwelch_k, S_pwelch_dk = spec.calc_freq_LS( np.array(Gi['dist']), Lpoints, method='LS_auto', minimum_frequency=f_fft2_regular[1], maximum_frequency=f_fft2_regular[-1], samples_per_peak=0.1) - -S_pwelch_k[-1] -S_pwelch_k[0] -S_pwelch_k.size - -#f_regular, df2 = spec.calc_freq_fft_given_dx(desired_dx,Lmeters) -f_regular = np.linspace(k_0/100, 0.1, 300) - -#f_regular = 1/np.linspace(1/shortest_wavenumber, 10/k_0, 1000)[::-1] - -dk = np.diff(f_regular).mean() -f_regular[1:].size -f_regular[-1] - -G2= dict() -#k = high_beams[0] -for k in high_beams: - Gi = Gfilt[k] - # for testing amplitude - #Gi = Gi[(Gi['dist'] > 140000) & (Gi['dist'] < 160001)] - #Gi['nans'] = np.isnan(Gi['heights']) - #Gall[k][Gall[k+'_nans']] = 0 - #Gsel = Gi[~Gall[k+'_nans']] - dd = np.array( Gi['heights'] - Gi['heights'].mean() ) - #dd = np.gradient(dd) - #np.isnan(dd).sum() - S = spec.wavenumber_spectrogram_LS(np.array(Gi.dist), dd, Lmeters, waven_method = f_regular , dy=None , ov=None, window=None, kjumps=1) - G = S.cal_spectrogram() - S.mean_spectral_error() # add x-mean spectal error estimate to xarray - S.parceval(add_attrs= True) - - G2[k] = G - - -font_for_pres() - -plt.plot(G.k, G, 'b', alpha = 0.2) -plt.plot(G.k, G.mean('x'), 'r-' ) - -# for testing amplitude -# !!!! vanriance is not conserved yet !!! -plt.plot(f_fft2_regular, spec_fft2_regular, 'k-' ) -plt.xlim(0, 0.01) -plt.ylim(0, 40) - -# %% - -font_for_pres() - -plt.plot(G.k, G.mean('x')) -# %% -#Gplot = G.rolling(x=5, min_periods= 1, center=True).mean() -Gplot = G.rolling(k=10, x=2, min_periods= 1, center=True).mean() -# %% -import matplotlib.colors as colors -from matplotlib.gridspec import GridSpec - -font_for_print() -F = M.figure_axis_xy(6.5, 5.6, container= True, view_scale =0.8) - -plt.suptitle('LS on uneven grid (dx= '+ str(int(np.diff(Gplot.x).mean())) +' m)', y = 0.95) -gs = GridSpec(3,3, wspace=0.1, hspace=0.7)#figure=fig, -#clev=np.arange(0, 6, 0.1)*3 -clev = M.clevels(Gplot.data, 31)* 0.9 - - -for pos, k, pflag in zip([gs[0, 0],gs[0, 1],gs[0, 2] ], high_beams, [True, False, False] ): - ax0 = F.fig.add_subplot(pos) - Gplot = G2[k]#.rolling(k=10, x=2, min_periods= 1, center=True).mean() - - #plt.pcolormesh(G.x/1e3, 1/G.k , G, norm=colors.LogNorm(vmin=G.min()*1e6, vmax=G.max()), cmap='PuBu')#, vmin = clev[0], vmax = clev[-1]) - ax0.set_yscale('log') - #plt.pcolormesh(Gplot.x/1e3, 1/Gplot.k , Gplot, cmap=plt.cm.ocean_r) - plt.pcolormesh(Gplot.x/1e3, 1/Gplot.k , Gplot, cmap=plt.cm.ocean_r, vmin = clev[0], vmax = clev[-1]) - - #plt.gca().set_yscale('log') - # plt.colorbar(orientation='vertical', pad=0.06, label='Spectral Power (m^2/m)') - - plt.xlabel('Distance from the Ice Edge (km)') - plt.ylim(20,Lmeters/2) - plt.title(k, loc='left') - - - #ax0.axhline(30, color='black', linewidth=0.5) - - if pflag: - plt.ylabel('Wave length\n(meters)') - plt.legend() - - -k= high_beams[0] -G3_sum = G2[k]*0 -N_grid=G2[k]*0 -x_common =G2[k].x -for k in high_beams: - gii = G2[high_beams[0]] - N_grid +=~np.isnan(gii) - G3_sum += gii.where(~np.isnan(gii), 0).interp(x = x_common) - -G3_sum= G3_sum/N_grid - - -pos, k, pflag = gs[1, 0], 'mean', True -ax0 = F.fig.add_subplot(pos) -Gplot = G3_sum.rolling(k=5, x=5, min_periods= 1, center=True).mean() - -#plt.pcolormesh(G.x/1e3, 1/G.k , G, norm=colors.LogNorm(vmin=G.min()*1e6, vmax=G.max()), cmap='PuBu')#, vmin = clev[0], vmax = clev[-1]) - -plt.pcolormesh(Gplot.x/1e3, 1/Gplot.k , Gplot, cmap=plt.cm.ocean_r, vmin = clev[0], vmax = clev[-1]) - -plt.gca().set_yscale('log') -# plt.colorbar(orientation='vertical', pad=0.06, label='Spectral Power (m^2/m)') -plt.xlabel('Distance from the Ice Edge (km)') -plt.ylim(20,Lmeters/2) -plt.title(k, loc='left') - -#plt.plot(Gplot.x/1e3, 10* nan_list +20 , c='black', label='NAN-density' ) -ax0.axhline(30, color='black', linewidth=0.5) - - -if pflag: - plt.ylabel('Wave length\n(meters)') - plt.legend() - - -pos = gs[1, 1] -ax0 = F.fig.add_subplot(pos) -plt.title('mean # of datapoints / chunk (1e3)') -plt.plot(Gplot.x/1e3, Gplot.N_per_sample/1e3 , c='black') - -pos = gs[1, 2] -ax0 = F.fig.add_subplot(pos) - -plt.title('spectal power decay') -plt.plot(Gplot.x/1e3, Gplot.sel(k=slice(1/500, 1/100)).integrate('k') , c='black') - -F.save_light(path=plot_path, name='exmpl_spec_LS_uneven_strong') diff --git a/analysis/SB02_make_spectra_LS_adjust_amp.py b/analysis/SB02_make_spectra_LS_adjust_amp.py deleted file mode 100644 index 26035439..00000000 --- a/analysis/SB02_make_spectra_LS_adjust_amp.py +++ /dev/null @@ -1,817 +0,0 @@ -import os, sys -#execfile(os.environ['PYTHONSTARTUP']) - -""" -This file open a ICEsat2 track applied filters and corections and returns smoothed photon heights on a regular grid in an .nc file. -This is python 3 -""" - -exec(open(os.environ['PYTHONSTARTUP']).read()) -exec(open(STARTUP_2021_IceSAT2).read()) - -base_path='/Users/Shared/Projects/2021_IceSAT2_tracks/' -sys.path.append(base_path +'modules/') -sys.path.append(base_path +'modules/ICEsat2_SI_tools/') - -import matplotlib.pyplot as plt -%matplotlib inline - -#import m_general as M -#import m_tools as MT -import numpy as np - -import m_general_ph3 as M - -import netCDF4 -import datetime -import os -from netCDF4 import Dataset -import xarray as xr -import pandas as pd - -import ICEsat2_SI_tools.convert_GPS_time as cGPS -import h5py -import ICEsat2_SI_tools.io as io -import ICEsat2_SI_tools.spectral_estimates as spec - -import imp - -#import s3fs -# %% - -# Python reader based on Pandas. Other reader examples available in readers.py -plot_path = mconfig['paths']['plot'] + '/tests/' - - -track_name= 'ATL03_20190515060436_07170312_002_02' -load_path = base_path + 'data/data1/' - -# test which beams exist: -all_beams = ['gt1l', 'gt1r', 'gt2l', 'gt2r', 'gt3l', 'gt3r'] -low_beams = ['gt1l', 'gt2l', 'gt3l'] -high_beams = ['gt1r', 'gt2r', 'gt3r'] - -# %% - -#Gall= xr.open_dataset(load_path+'/'+track_name +'_filtered_photon_heights.nc') -imp.reload(io) -Gfilt = io.load_pandas_table_dict(track_name + '_B01_corrected', load_path) -Gd = io.load_pandas_table_dict(track_name + '_B01_binned' , load_path) - -# %% -Gi =Gd[high_beams[0]] -Gi = Gi[~np.isnan(Gi['heights_c_weighted_mean'])].sort_values('dist') -#np.isnan(Gi['dist']).sum() -Gi = Gi[(Gi['dist'] > 140000) & (Gi['dist'] < 170001)] - -# %% - - - - -#plt.xlim(140000, 145000) -#plt.ylim(-1, 1) - -#np.diff(np.array(Gi['dist'])) -# %% test and compare to FFT -from scipy.signal import detrend -y =detrend(np.array(Gi['heights_c_weighted_mean']) ) - -data_gap= np.copy(y) -data_gap[500:2000] = np.nan -nan_mask =np.isnan(data_gap) - -nan_mask.sum()/data_gap.size - -plt.plot( Gi['dist'], y, '-') -plt.plot( Gi['dist'], data_gap, '-') - -# %% -def create_weighted_window(data, window=None): - """ - define window function and weight it to conserve variance - if window is not None it show have a length of N - """ - L = data.size - if window is None: - #win=np.hanning(L) - import scipy.signal.windows as WINDOWS - win = WINDOWS.tukey(L, alpha=0.1, sym=True) - else: - win=window - - - factor = np.sqrt( np.var(data) / np.var(( data* win) ) ) - #factor=np.sqrt( L/(win**2).sum()) - win *= factor - return win - - -def create_window_mask(nan_mask, ddata): - - from scipy.ndimage.measurements import label - nlabel = label(~nan_mask +0) - - windows = np.zeros(nan_mask.size) - for i in np.arange(1, nlabel[1]+1): - - sub_mask = nlabel[0] == i - win= create_weighted_window(ddata[sub_mask]) - #win = create_window(sum(sub_mask)) - windows[sub_mask] = win - - return windows#, window_inv - -windows = create_window_mask(nan_mask, data_gap ) - -np.nanvar(data_gap) -np.nanvar(( data_gap* windows)[~nan_mask] ) - -plt.plot(data_gap* windows) -# %% - -f_fft2, df2 = spec.calc_freq_fft( np.array(Gi['dist']), y.size) - -spec_fft2 = spec.calc_spectrum_fft(y, df2, y.size) -f_fft2_regular, spec_fft2_regular = f_fft2, spec_fft2 - -window_single = spec.create_window(y.size) -win = create_weighted_window(y) - -dd = np.copy(data_gap) -dd[nan_mask]= 0 -spec_fft_gap_window1 = spec.calc_spectrum_fft(dd * window_single, df2, y.size) -spec_fft_windowed = spec.calc_spectrum_fft(y * window_single, df2, y.size) - -spec_fft_gap_windowed = spec.calc_spectrum_fft(y * windows, df2, y.size) - - -# %% simple spectra -from astropy.timeseries import LombScargle -ls = LombScargle( np.array(Gi['dist']) , y, fit_mean=False) -fft_sub = f_fft2[1:] -ls_auto_power = ls.power(fft_sub , normalization='psd', assume_regular_frequency= False) - -ls_windowed = LombScargle( np.array(Gi['dist']) , y *win, fit_mean=False) -ls_auto_power_windowed = ls_windowed.power(fft_sub , normalization='psd', assume_regular_frequency= False) - -ls_gap = LombScargle( np.array(Gi['dist'])[~nan_mask] , data_gap[~nan_mask] , fit_mean=False) -ls_gap_auto_power = ls_gap.power(fft_sub , normalization='psd', assume_regular_frequency= False) - -ls_gap_windowed = LombScargle( np.array(Gi['dist'])[~nan_mask], ( data_gap* windows)[~nan_mask] , fit_mean=False) -ls_auto_power_gap_windowed = ls_windowed.power(fft_sub , normalization='psd', assume_regular_frequency= False) - -ls_gap_window1 = LombScargle( np.array(Gi['dist'])[~nan_mask], (data_gap* window_single)[~nan_mask] , fit_mean=False) -ls_auto_power_gap_window1 = ls_windowed.power(fft_sub , normalization='psd', assume_regular_frequency= False) - - - -#ls_auto_f , ls_auto_power = l s.autopower(normalization='psd', samples_per_peak=0.1) -F= M.figure_axis_xy(10, 4, view_scale= 0.8) -plt.subplot(2, 1,1) -#plt.plot(f_fft2[1::] , spec.LS_power_to_PSD(ls_auto_power_windowed, y.size, df2), '^' , label= 'LS single window, no gaps') -plt.plot(f_fft2[:-1], spec_fft_windowed, '*-' , label= 'single windowed FFT, no gaps') -plt.plot(f_fft2[:-1], spec_fft_gap_windowed, '-' , label= 'single windowed FFT, gaps') - -#plt.plot(f_fft2[:-1], spec_fft_gap_window1 , label= 'single windowed standard FFT, gaps') - -#plt.plot(fft_sub , spec.LS_power_to_PSD(ls_auto_power, y.size, df2) , label= 'LS no window', zorder=12) -plt.plot(f_fft2[1::] , spec.LS_power_to_PSD(ls_auto_power_gap_windowed, y.size, df2) , label= 'LS_gap_windows') -plt.plot(f_fft2[1::] , spec.LS_power_to_PSD(ls_auto_power_gap_window1, y.size, df2) , label= 'LS_gap_1 window') -#plt.plot(f_fft2[1::] , spec.LS_power_to_PSD(ls_gap_auto_power, y.size, df2) , label= 'LS_gap no windowed') - -#plt.plot(f_fft2[1::] , spec.LS_power_to_PSD(spec_fft_gap_windowed, y.size, df2) , label= 'FFFT_gap_windowed') - -#plt.plot(f_fft2[:-1], spec_fft2 , label= 'standard FFT') - -plt.legend() -plt.xlim(0, 0.01) - -plt.subplot(2, 1,2) - - -# yn= 1 -# y_test= y[::yn] -# f_fft_sub, df2 = spec.calc_freq_fft( np.array(Gi['dist'])[::yn], y_test.size) -# plt.plot(f_fft_sub, np.angle(np.fft.rfft(y_test)) , label= 'standard FFT') - -plt.plot(f_fft2[:-1],np.angle(np.fft.rfft(y * windows)) , label= 'windowed standard FFT') - -plt.plot(f_fft2[:-1],np.angle(np.fft.rfft(y)) , label= 'standard FFT') - -plt.xlim(0, 0.01) - - - - -# %% -# test getting phase - -t_base =np.array(Gi['dist']) -t_base = t_base# - t_base[0] - -m1 = ls.offset() * np.ones(len(t_base)) -m1_windowed = ls_windowed.offset() * np.ones(len(t_base)) -m1_gap = ls_gap.offset() * np.ones(len(t_base)) -m1_gap_window1 = ls_gap_window1.offset() * np.ones(len(t_base)) -m1_gap_windowed = ls_gap_windowed.offset() * np.ones(len(t_base)) - -fi_divide= 1000 -thetas = np.zeros([2]) -thetas_v2 = np.zeros([2]) - -for fi in fft_sub:#f_fft2[1:]: - #m1 += ls.model(t_base, fi) - #print(ls.model_parameters(fi)) - theta = ls.model_parameters(fi) - m1 += theta[0] * np.sin(t_base * 2 * np.pi *fi ) + theta[1]* np.cos(t_base * 2 * np.pi *fi) - - theta = ls_windowed.model_parameters(fi) - m1_windowed += theta[0] * np.sin(t_base * 2 * np.pi *fi ) + theta[1]* np.cos(t_base * 2 * np.pi *fi) - - #m1_man += theta[0] + theta[1] * np.sin(t_base * 2 * np.pi *fi ) + theta[2]* np.cos(t_base * 2 * np.pi *fi) - thetas = np.vstack([thetas, theta]) - - theta = ls_gap.model_parameters(fi) - m1_gap += theta[0] * np.sin(t_base * 2 * np.pi *fi ) + theta[1]* np.cos(t_base * 2 * np.pi *fi) - - theta = ls_gap_window1.model_parameters(fi) - m1_gap_window1 += theta[0] * np.sin(t_base * 2 * np.pi *fi ) + theta[1]* np.cos(t_base * 2 * np.pi *fi) - - theta = ls_gap_windowed.model_parameters(fi) - m1_gap_windowed += theta[0] * np.sin(t_base * 2 * np.pi *fi ) + theta[1]* np.cos(t_base * 2 * np.pi *fi) - - - # ii= np.array([theta[0] * np.sqrt(2) *np.sin(np.arctan(theta[1]/ theta[0]) ) , theta[1]* np.sqrt(2) * np.cos(np.arctan(theta[1]/ theta[0])) ]) - # thetas_v2 = np.vstack([ thetas_v2, ii]) - -thetas = thetas[1:, :] -# thetas_v2 = thetas_v2[1:, :] - -N=y.size - -# test -# fft_contstruct = N* np.complex128(thetas[:,1] ) /2 -# fft_contstruct.imag = N* (thetas[:,0]) /2 - -# %% - -# m2 = ls.offset() * np.ones(len(t_base)) -# for fi in f_fft2[fi_divide+1::1]: -# m2 += ls.model(t_base, fi) - -# %% -plt.plot( t_base , data_gap , linewidth=2, alpha=0.5 , c='black', label=' data_grap') -plt.plot(t_base, m1_gap, '-', label='LS model gap') -plt.xlim(t_base[100], t_base[1000]) -plt.legend() -# %% - -#plt.plot( t_base , y , linewidth=2, alpha=0.5 , c='black', label=' org. data') -plt.plot( t_base , data_gap *window_single , linewidth=2, alpha=0.5 , c='black', label=' data_grap * win') - - -#plt.plot(t_base, m1) -#plt.plot(t_base, m1, '*', label='LS model', alpha=0.2) - -#plt.plot(t_base, m1_windowed, '-', label='LS model windowed', alpha =0.6) -plt.plot(t_base, m1_gap_window1, '-', label='LS model gap 1 window', alpha =0.6) - -plt.xlim(t_base[100], t_base[1000]) -plt.legend() - - -# %% -#plt.plot( t_base[1:-1] , (y -m1)[1:-1], linewidth=2, alpha=0.5 , c='black', label=' org. data') -#plt.plot( t_base[1:-1] , (y -m1_windowed)[1:-1], linewidth=2, alpha=0.5 , c='black', label=' org. data') -#plt.xlim(t_base[500], t_base[600]) - - -# %% fft again -phih_from_LS = np.fft.rfft(m1 * win) -phih_from_LS_gap = np.fft.rfft(m1_gap * win) -phih_from_data = np.fft.rfft(y * win) -f_fft3 = np.fft.rfftfreq(m1.size, d=10.0) -df3 = np.gradient(f_fft3).mean() - -# % parcevel test - -print('with Hanning window') -print('data var:', y.var() ) -spec_data_fft3 = 2.*(phih_from_data*phih_from_data.conj()).real / df3 /y.size**2 -print('data fft sum:', df3 * spec_data_fft3.sum().data ) - -print('LS model var:', m1.var() ) -spec_LS_model_fft3 = 2.*(phih_from_LS*phih_from_LS.conj()).real / df3 /m1.size**2 -print('LS model fft sum:', df3 * spec_LS_model_fft3.sum().data ) - - -print('Data gap var:', data_gap[~nan_mask].var() ) -print('LS model without gap var:', m1_gap[~nan_mask].var() ) - -print('LS model with gap var:', m1_gap.var() ) -spec_LS_model_gap_fft3 = 2.*(phih_from_LS_gap*phih_from_LS_gap.conj()).real / df3 /y.size**2 -print('Ls model with gap fft sum:', df3 * spec_LS_model_gap_fft3.sum().data ) - - -# %% fft again -phih_from_LS = np.fft.rfft(m1) -phih_from_LS_gap = np.fft.rfft(m1_gap) -phih_from_data = np.fft.rfft(y) -f_fft3 = np.fft.rfftfreq(m1.size, d=10.0) -df3 = np.gradient(f_fft3).mean() - -# % parcevel test -print('withOUT Hanning window') -print('data var:', y.var() ) -spec_data_fft3 = 2.*(phih_from_data*phih_from_data.conj()).real / df3 /y.size**2 -print('data fft sum:', df3 * spec_data_fft3.sum().data ) - -print('LS model var:', m1.var() ) -spec_LS_model_fft3 = 2.*(phih_from_LS*phih_from_LS.conj()).real / df3 /m1.size**2 -print('LS model fft sum:', df3 * spec_LS_model_fft3.sum().data ) - - -print('Data gap var:', data_gap[~nan_mask].var() ) -print('LS model without gap var:', m1_gap[~nan_mask].var() ) - -print('LS model with gap var:', m1_gap.var() ) -spec_LS_model_gap_fft3 = 2.*(phih_from_LS_gap*phih_from_LS_gap.conj()).real / df3 /y.size**2 -print('Ls model with gap fft sum:', df3 * spec_LS_model_gap_fft3.sum().data ) - - - -# %% -np.angle(phih_from_LS_gap) - - -F= M.figure_axis_xy(12, 4.1 * 2.5, view_scale= 0.5, container=True) -gs = GridSpec(4,1, wspace=0.1, hspace=0.7)#figure=fig, - -pos0,pos1,pos2,pos3 = gs[0, 0],gs[1, 0],gs[2, 0],gs[3, 0] -ax0 = F.fig.add_subplot(pos0) - -#plt.subplot(4, 1, 1) -plt.plot(t_base, m1, '.', c='blue', label='LS model') -plt.plot(t_base, m1_gap, '-',c='red', label='LS model') -#plt.plot(t_base, m2 - m2.mean()) - -plt.plot( t_base , y , linewidth=2, alpha=0.5 , c='black', label=' org. data') -plt.xlim(t_base[10], t_base[2500]) -plt.ylim(-1, 1) -plt.legend() - - -def gaus(x, x_0, amp, sigma_g ): - return amp* np.exp(-0.5 * ( (x-x_0)/sigma_g)**2) - - -def gauss_weight(x, x_positions, amplitudes, sigma_g=5): - """ - postions and amplitudes must have the same length - - """ - - y= np.ones(x.size) - for p,a in zip(x_positions, amplitudes): - y += gaus(x, p, a, sigma_g) - - return y - - - - -weights = gauss_weight(f_fft3, [0.001, 0.005, 0.045], [0, -.5, -.9], sigma_g= 0.002) - -plt.plot(f_fft3, weights ) - -ax2 = F.fig.add_subplot(pos1) -#ax2 = plt.subplot(4, 1, 2) -plt.plot(f_fft3, np.abs(phih_from_LS), c='blue', linewidth = 0.5 ) -plt.plot(f_fft3, M.runningmean(np.abs(phih_from_LS) , 10, tailcopy=True), linewidth = 1.2, c='blue' ,label= 'LS full data') -plt.plot(f_fft3, np.abs(phih_from_LS_gap), c='red', linewidth = 0.5 , alpha= 0.6) -plt.plot(f_fft3, M.runningmean(np.abs(phih_from_LS_gap) , 10, tailcopy=True), linewidth = 1.2, c='red' ,label= 'LS gap data') - - -plt.plot(f_fft3, np.abs(phih_from_LS_gap) *weights , linewidth = 0.5, c='orange', alpha= 0.6) -plt.plot(f_fft3, M.runningmean(np.abs(phih_from_LS_gap) *weights, 10, tailcopy=True), linewidth = 1.2, c='orange' , label='LS gap weighted' ) - - -plt.legend() - -plt.xlim(f_fft3[1], f_fft3[-1]) -ax2.set_xscale('log') -ax2.set_yscale('log') - - -ax3 = F.fig.add_subplot(pos2) -plt.plot(f_fft3, weights , linewidth = 0.5, c='k', label='LS gap weighted' ) - - - -plt.xlim(f_fft3[0], f_fft3[-1]) - -plt.xlim(f_fft3[1], f_fft3[-1]) -ax3.set_xscale('log') - -#ax3.set_yscale('log') - -ax4 = F.fig.add_subplot(pos3) -plt.plot(t_base, m1, '-', c='blue', linewidth = 0.5,label='LS model') -#plt.plot(t_base, m1_gap, '-',linewidth = 0.5, c='red', label='LS model', zorder=10) - -data_model = np.fft.irfft(phih_from_LS_gap*weights) -plt.plot(t_base[1:], data_model , alpha= 0.8, c='orange', label='LS weighted model') -#plt.plot(t_base, m2 - m2.mean()) - -#plt.plot( t_base , y , linewidth=2, alpha=0.5 , c='black', label=' org. data') -plt.xlim(t_base[10], t_base[2500]) - -plt.ylim(-1, 1) -plt.legend() - - -print(' cost', (abs(data_gap[~nan_mask][1:] - data_model[~nan_mask[1:]])**2).sum() ) - -# %% - - - -def objective_func(params, data_x, Z_results, weight_func, nan_mask = None, plot_flag=False): - # model_x= model_real_space - # data= y - - alpha =1e3 - def model_real_space(Z, weights): - """ - Both inputs must have the same length - """ - return np.fft.irfft(Z*weights) - - weights = weight_func(f_fft3, params) - - if nan_mask is not None: - model = model_real_space(Z_results, weights)[~nan_mask[1:]] - dd = data[~nan_mask][1:] - else: - model = model_real_space(Z_results, weights)[:] - dd = data[1:] - - if plot_flag: - - F= M.figure_axis_xy(10, 4.1 * 2.5, view_scale= 0.5, container = True) - - gs = GridSpec(5,1, wspace=0.1, hspace=0.2)#figure=fig, - pos0,pos1,pos2 = gs[0:3, 0],gs[3, 0],gs[4, 0]#,gs[3, 0] - ax1 = F.fig.add_subplot(pos0) - - chunk_l= 400 - chunk_iter = spec.create_chunk_boundaries(chunk_l, data_x.size, ov=0, iter_flag = True) - - ofsett0= 6 - ofsett = np.copy(ofsett0) - for chi in chunk_iter: - - v1= np.round(np.nanvar(dd), 4) - plt.plot(ofsett+ data_x[chi[0]:chi[-1]] , linewidth=3, alpha=0.5 , c='black', label=' org. data (var:'+str(v1)+')') - - v1= np.round(model_x(Z_results, weights*0 +1)[~nan_mask[1:]].var(), 4) - plt.plot(ofsett + model_x(Z_results, weights*0 +1)[chi[0]:chi[-1]] ,linewidth= 0.8, c='red', label='LS model init (var:'+str(v1)+')') - - v1= np.round(model.var(), 4) - plt.plot(ofsett + model_x(Z_results, weights)[chi[0]:chi[-1]],linewidth= 0.8, c='blue', label='LS model weighted (var:'+str(v1)+')') - - if ofsett == ofsett0: - plt.legend() - ofsett -= 1 - - plt.ylim(ofsett, ofsett0+1) - plt.xlim(0, chunk_l*2) - - - ax2 = F.fig.add_subplot(pos1) - #ax2 = plt.subplot(3, 1, 2) - plt.plot(weights ) - ax2.set_xscale('log') - - ax3 = F.fig.add_subplot(pos2) - #ax3 = plt.subplot(3, 1, 3) - - # v2_fft= np.fft.rfft(data_x) - # v2 = np.round( (2.*(v2_fft*v2_fft.conj()).real /data_x.size**2 ).sum(), 4) - # plt.plot(abs(v2_fft) , linewidth=2, alpha=0.5 , c='black', label='org data (var: '+str(v2) +')') - - v2 = np.round( (2.*(Z_results*Z_results.conj()).real /data_x.size**2 ).sum(), 4) - plt.plot(abs(Z_results), linewidth= 0.8, c='red', label='Z (var: '+str(v2) +')') - plt.plot(M.runningmean(abs(Z_results) , 20, tailcopy=True), linewidth= 1.5, c='red', zorder=12) - - Z2= Z_results* weights - v2 = np.round( (2.*(Z2*Z2.conj()).real /data_x.size**2 ).sum(), 4) - plt.plot(abs(Z2), linewidth= 0.8, c='blue', label='weighted Z(var: '+str(v2) +')') - plt.plot(M.runningmean(abs(Z2) , 20, tailcopy=True), linewidth= 1.5, c='blue', zorder=12) - plt.legend() - - plt.ylim( np.percentile(abs(np.fft.rfft(data)), 1), abs(np.fft.rfft(data)).max()*1.3 ) - - ax3.set_xscale('log') - ax3.set_yscale('log') - - - fitting_cost =( abs(dd - model) / dd.std() )**2 - variance_cost =( abs(dd.var() - model.var()) / dd.std() ) **2 - - return fitting_cost.sum() ,alpha* variance_cost - -import lmfit - -# find energy peak and seed center points for ajustment -p_smothed = M.runningmean(np.abs(phih_from_LS_gap), 20, tailcopy=True) -f_max = f_fft3[p_smothed[~np.isnan(p_smothed)].argmax()] - -f_list = [f_max/ 2, f_max, f_max]# + 1 * (f_fft3[-1] - f_max)/2]#, f_max + 2 * (f_fft3[-1] - f_max)/3 ] -amp_list = [0 for i in f_list] - -fi_low = 0 -params = lmfit.Parameters() -for i in np.arange(len(f_list)): - f_name = 'freq'+str(i) - fi = f_list[i] - if i+1 < len(f_list): - fi_high = f_list[i+1] - else: - fi_high = f_fft3[-1] - params.add(f_name, fi, min=fi_low, max=fi_high) - fi_low = fi - - -for i in np.arange(len(amp_list)): - a_name = 'amp'+str(i) - params.add(a_name, 0.5, min=-1, max=2) - -params.add('sigma_g', 0.001, min=0.001, max=0.1, vary= False) - -params['freq1'].vary = False -params['freq2'].vary = False -params.pretty_print() - - -def gauss_weight_function(ff, params): - - def reorder_values(params): - freq_l = list() - amp_l = list() - for i in list(params): - if 'freq' in i: - freq_l.append(params[i].value) - elif 'amp' in i: - amp_l.append(params[i].value) - - return freq_l, amp_l - - if params is not None: - freq_l, amp_l = reorder_values(params) - weights = gauss_weight(f_fft3, freq_l, amp_l, sigma_g= params['sigma_g']) - else: - weights = gauss_weight(f_fft3, [0.001, 0.005, 0.045], [0, -.5, -.9], sigma_g= params['sigma_g']) - - return weights - -plt.plot(f_fft3, gauss_weight_function(f_fft3, params) ) - - -objective_func(params, data_gap, phih_from_LS_gap, gauss_weight_function, nan_mask = nan_mask, plot_flag= True) - -# %% simplest model -params = lmfit.Parameters() -params.add('amp', 0, min=-1, max=1) - -def constant_weight(ff, amp): - """ - zdgfsg - """ - y = (ff*0+1) + amp - return y - - - -def constant_weight_function(ff, params): - return constant_weight(ff, params['amp'].value) - -objective_func(params, data_gap, phih_from_LS_gap, constant_weight_function, nan_mask = nan_mask, plot_flag= True) - -# %% -cost_list=list() -amp_list= np.arange(-0.8, 1, 0.05) -for aa in amp_list: - params['amp'].value = aa - cost= objective_func(params, data_gap, phih_from_LS_gap, constant_weight_function, nan_mask = nan_mask, plot_flag= False) - cost_list.append(cost) - -cost_list = np.array(cost_list) -plt.plot(amp_list, cost_list[:,0], label='fitting cost') -plt.plot(amp_list, cost_list[:,1], label='variance cost') -plt.plot(amp_list, cost_list[:,0]+ cost_list[:,1], label='total cost') -plt.legend() - -# %% - -#args=(y, model_real_space) -#kws={'nan_mask':nan_mask, 'sigma_g':0.002 } - -fitter = lmfit.minimize(objective_func, params, args=(data_gap, phih_from_LS_gap, constant_weight_function), - kws={'nan_mask':nan_mask} , method='least_squares') - -fitter.params.pretty_print() -objective_func(fitter.params, data_gap, phih_from_LS_gap, constant_weight_function, nan_mask = nan_mask, plot_flag= True) - -# %% -def tanh_weight(x, x_positions, LF_amp, HF_amp, sigma_g): - """ - zdgfsg - """ - HF_amp1 = (LF_amp-HF_amp) - decay = 0.5 - np.tanh( (x-x_positions)/sigma_g )/2 - y = decay * HF_amp1 + (1 - HF_amp1) - y = y- y[0] +LF_amp - #y = y * LF_amp - return y - -#plt.plot( f_fft3, tanh_weight( f_fft3, 0.025, 1 , 1, 0.005) ) - -def tanh_weight_function(ff, params): - return tanh_weight(ff, params['x_pos'].value,params['LF_amp'].value,params['HF_amp'].value,params['sigma_g'].value, ) - -params = lmfit.Parameters() - -p_smothed = M.runningmean(np.abs(phih_from_LS_gap), 20, tailcopy=True) -f_max = f_fft3[p_smothed[~np.isnan(p_smothed)].argmax()] -params.add('x_pos', f_max, min=f_max*0.75, max=f_max*1.25, vary=True) - -params.add('LF_amp', 1, min=.2, max=1.5) -params.add('HF_amp', 1, min=.2, max=1.5) -params.add('sigma_g', 0.002, min=0.001, max=0.05, vary= False) - - -#tanh_weight_function(f_fft3, params) -objective_func(params, data_gap, phih_from_LS_gap, tanh_weight_function, nan_mask = nan_mask, plot_flag= True) - - -# %% - -def objective_func(params, data_x, Z_results, weight_func, nan_mask = None, plot_flag=False): - # model_x= model_real_space - # data= y - - alpha =1e7 - def model_real_space(Z, weights): - """ - Both inputs must have the same length - """ - return np.fft.irfft(Z*weights) - - weights = weight_func(f_fft3, params) - - if nan_mask is not None: - model = model_real_space(Z_results, weights)[~nan_mask[1:]] - dd = data_x[~nan_mask][1:] - else: - model = model_real_space(Z_results, weights)[:] - dd = data_x[1:] - - if plot_flag: - - F= M.figure_axis_xy(10, 4.1 * 2.5, view_scale= 0.5, container = True) - - gs = GridSpec(5,1, wspace=0.1, hspace=0.4)#figure=fig, - pos0,pos1,pos2 = gs[0:3, 0],gs[3, 0],gs[4, 0]#,gs[3, 0] - ax1 = F.fig.add_subplot(pos0) - plt.title('Stacked Timeseries', loc='left') - - chunk_l= 400 - chunk_iter = spec.create_chunk_boundaries(chunk_l, data_x.size, ov=0, iter_flag = True) - - ofsett0= 6 - ofsett = np.copy(ofsett0) - for chi in chunk_iter: - - v1= np.round(np.nanvar(dd), 4) - plt.plot(ofsett+ data_x[chi[0]:chi[-1]] , linewidth=3, alpha=0.5 , c='black', label=' org. data (var:'+str(v1)+')') - - v1= np.round(model_x(Z_results, weights*0 +1)[~nan_mask[1:]].var(), 4) - plt.plot(ofsett + model_x(Z_results, weights*0 +1)[chi[0]:chi[-1]] ,linewidth= 0.8, c='red', label='LS model init (var:'+str(v1)+')') - - v1= np.round(model.var(), 4) - plt.plot(ofsett + model_x(Z_results, weights)[chi[0]:chi[-1]],linewidth= 0.8, c='blue', label='LS model weighted (var:'+str(v1)+')') - - if ofsett == ofsett0: - plt.legend() - ofsett -= 1 - - plt.ylim(ofsett, ofsett0+1) - plt.xlim(0, chunk_l*2) - - - ax2 = F.fig.add_subplot(pos1) - #ax2 = plt.subplot(3, 1, 2) - plt.title('Amplitude Weight Function', loc='left') - plt.plot(weights , c='black') - ax2.set_xscale('log') - - ax3 = F.fig.add_subplot(pos2) - plt.title('Initial and tuned |Z|', loc='left') - - #ax3 = plt.subplot(3, 1, 3) - - # v2_fft= np.fft.rfft(data_x) - # v2 = np.round( (2.*(v2_fft*v2_fft.conj()).real /data_x.size**2 ).sum(), 4) - # plt.plot(abs(v2_fft) , linewidth=2, alpha=0.5 , c='black', label='org data (var: '+str(v2) +')') - - v2 = np.round( (4.*(Z_results*Z_results.conj()).real /data_x.size**2 ).sum(), 4) - plt.plot(abs(Z_results), linewidth= 0.8, c='red', label='Z (var: '+str(v2) +')') - plt.plot(M.runningmean(abs(Z_results) , 20, tailcopy=True), linewidth= 1.5, c='red', zorder=12) - - Z2= Z_results* weights - v2 = np.round( (4.*(Z2*Z2.conj()).real /data_x.size**2 ).sum(), 4) - plt.plot(abs(Z2), linewidth= 0.8, c='blue', label='weighted Z(var: '+str(v2) +')') - plt.plot(M.runningmean(abs(Z2) , 20, tailcopy=True), linewidth= 1.5, c='blue', zorder=12) - plt.legend() - - plt.ylim( np.percentile(abs(np.fft.rfft(data)), 0.5), abs(np.fft.rfft(data)).max()*1.3 ) - plt.xlabel('wavenumber k') - ax3.set_xscale('log') - ax3.set_yscale('log') - - fitting_cost =( abs(dd - model) / dd.std() )**2 - variance_cost =( abs(dd.var() - model.var()) / dd.std() ) **2 - - return fitting_cost.sum() , alpha* variance_cost - - - - - -# D_data = data_gap *window_single -# -# Z_data = np.copy(data_gap *win) -# Z_data[nan_mask]=0 -# Z_data= np.fft.rfft(Z_data) -#Z_data.shape - -D_data = data_gap * window_single -Z_data= np.fft.rfft(m1_gap_window1) - -D_data = data_gap# * window_single -Z_data= np.fft.rfft(m1_gap) - -# D_data = data_gap# * window_single -# Z_data= np.fft.rfft(m1_gap_window1) - -# D_data = data_gap * windows -# Z_data= np.fft.rfft(m1_gap_windowed) - -# Z_data= phih_from_LS_gap -# Z_data.shape - - - - -fitter = lmfit.minimize(objective_func, params, args=(D_data, Z_data, tanh_weight_function), - kws={'nan_mask':nan_mask} , method='dual_annealing') - -fitter.params.pretty_print() -objective_func(fitter.params, D_data, Z_data, tanh_weight_function, nan_mask = nan_mask, plot_flag= True) - - -# v2_fft= np.fft.rfft(data_x) -#v2 = np.round( (2.*(v2_fft*v2_fft.conj()).real /data_x.size**2 ).sum(), 4) -# plt.plot(abs(v2_fft) , linewidth=2, alpha=0.5 , c='black', label='org data (var: '+str(v2) +')') - -#plt.plot(np.abs(phih_from_LS), c='gray', linewidth = 2, alpha=0.5 ) -plt.plot(M.runningmean(np.abs(phih_from_data) , 20, tailcopy=True), linewidth = 1.2, c='black' ,label= 'LS full data', zorder=12) -plt.legend() - -data_gap - -# %% -data_gap * windows - -# %% -data_gap * windows - - -# %% - -phih_from_LS - - - -## %% -phih_from_data.shape -plt.plot(y , linewidth=3, alpha=0.5 , c='black') - -plt.plot(np.fft.irfft(phih_from_data), 'b') - -zz = np.copy(phih_from_data) -zz[300:]= 0 -plt.plot(np.fft.irfft(zz)) -plt.xlim(0,200) diff --git a/analysis/SB02_make_spectra_LS_adjust_amp_working_exmpl.py b/analysis/SB02_make_spectra_LS_adjust_amp_working_exmpl.py deleted file mode 100644 index 76d4b648..00000000 --- a/analysis/SB02_make_spectra_LS_adjust_amp_working_exmpl.py +++ /dev/null @@ -1,449 +0,0 @@ -import os, sys -#execfile(os.environ['PYTHONSTARTUP']) - -""" -This file open a ICEsat2 track applied filters and corections and returns smoothed photon heights on a regular grid in an .nc file. -This is python 3 -""" - -exec(open(os.environ['PYTHONSTARTUP']).read()) -exec(open(STARTUP_2021_IceSAT2).read()) - -base_path='/Users/Shared/Projects/2021_IceSAT2_tracks/' -sys.path.append(base_path +'modules/') -sys.path.append(base_path +'modules/ICEsat2_SI_tools/') - -import matplotlib.pyplot as plt -%matplotlib inline - -#import m_general as M -#import m_tools as MT -import numpy as np - -import m_general_ph3 as M - -import netCDF4 -import datetime -import os -from netCDF4 import Dataset -import xarray as xr -import pandas as pd - -import ICEsat2_SI_tools.convert_GPS_time as cGPS -import h5py -import ICEsat2_SI_tools.io as io -import ICEsat2_SI_tools.spectral_estimates as spec - -import imp - -import lmfit -#import s3fs -# %% - -# Python reader based on Pandas. Other reader examples available in readers.py -plot_path = mconfig['paths']['plot'] + '/tests/' - - -track_name= 'ATL03_20190515060436_07170312_002_02' -load_path = base_path + 'data/data1/' - -# test which beams exist: -all_beams = ['gt1l', 'gt1r', 'gt2l', 'gt2r', 'gt3l', 'gt3r'] -low_beams = ['gt1l', 'gt2l', 'gt3l'] -high_beams = ['gt1r', 'gt2r', 'gt3r'] - -# %% - -#Gall= xr.open_dataset(load_path+'/'+track_name +'_filtered_photon_heights.nc') -imp.reload(io) -Gfilt = io.load_pandas_table_dict(track_name + '_B01_corrected', load_path) -Gd = io.load_pandas_table_dict(track_name + '_B01_binned' , load_path) - -# %% -Gi =Gd[high_beams[0]] -Gi = Gi[~np.isnan(Gi['heights_c_weighted_mean'])].sort_values('dist') -#np.isnan(Gi['dist']).sum() -Gi = Gi[(Gi['dist'] > 140000) & (Gi['dist'] < 170001)] - -# %% - - - - -#plt.xlim(140000, 145000) -#plt.ylim(-1, 1) - -#np.diff(np.array(Gi['dist'])) -# %% test and compare to FFT -from scipy.signal import detrend -y =detrend(np.array(Gi['heights_c_weighted_mean']) ) - -data_gap= np.copy(y) -data_gap[500:2000] = np.nan -nan_mask =np.isnan(data_gap) -data_filled = np.copy(y) -data_filled[nan_mask] = 0 - -nan_mask.sum()/data_gap.size - -plt.plot( Gi['dist'], y, '-') -plt.plot( Gi['dist'], data_gap, '-') - -# %% -def create_weighted_window(data, window=None): - """ - define window function and weight it to conserve variance - if window is not None it show have a length of N - """ - import scipy.signal.windows as WINDOWS - - L = data.size - if window is None: - #win=np.hanning(L) - win = WINDOWS.tukey(L, alpha=0.1, sym=True) - else: - win=window - - - factor = np.sqrt( np.var(data) / np.var(( data* win) ) ) - #factor=np.sqrt( L/(win**2).sum()) - win *= factor - return win - - -def create_window_mask(nan_mask, ddata): - - from scipy.ndimage.measurements import label - nlabel = label(~nan_mask +0) - - windows = np.zeros(nan_mask.size) - for i in np.arange(1, nlabel[1]+1): - - sub_mask = nlabel[0] == i - win= create_weighted_window(ddata[sub_mask]) - #win = create_window(sum(sub_mask)) - windows[sub_mask] = win - - return windows#, window_inv - -#windows = create_window_mask(nan_mask, data_gap ) -win = create_weighted_window(data_filled) - -np.nanvar(data_gap) -np.nanvar(( data_gap* win)[~nan_mask] ) - -plt.plot(data_gap* win) - -# %% - -f_fft2, df2 = spec.calc_freq_fft( np.array(Gi['dist']), y.size) - -Y = spec.calc_spectrum_fft(y, df2, y.size) -Y_win= spec.calc_spectrum_fft(y * win, df2, y.size) -Y_gap_win = spec.calc_spectrum_fft(data_filled * win, df2, y.size) - - -# %% simple spectra -from astropy.timeseries import LombScargle -ls_gap_win = LombScargle( np.array(Gi['dist'])[~nan_mask], ( data_gap* win)[~nan_mask] , fit_mean=False) -ls_gap_win_power = ls_gap_win.power(f_fft2 , normalization='psd', assume_regular_frequency= False) - -F= M.figure_axis_xy(10, 4, view_scale= 0.8) -plt.subplot(2, 1,1) -#plt.plot(f_fft2[1::] , spec.LS_power_to_PSD(ls_auto_power_windowed, y.size, df2), '^' , label= 'LS single window, no gaps') -plt.plot(f_fft2[:-1], Y_win, '-' , c='k' , label= 'single windowed FFT, no gaps') -plt.plot(f_fft2[:-1], Y_gap_win, '-' , label= 'single windowed FFT, gaps') - -plt.plot(f_fft2 , spec.LS_power_to_PSD(ls_gap_win_power, y.size, df2) , label= 'LS_gap_win') - -plt.legend() -plt.xlim(0, 0.01) - -plt.subplot(2, 1,2) - -plt.plot(f_fft2[:-1],np.angle(np.fft.rfft(y * win)), c='k' , label= 'windowed standard FFT') -plt.plot(f_fft2[:-1],np.angle(np.fft.rfft(y)), '--', c='k', label= 'standard FFT') -plt.legend() - -plt.xlim(0, 0.01) - - - - -# %% reconstruct data -# test getting phase - -t_base =np.array(Gi['dist']) -t_base = t_base# - t_base[0] - -y_model = ls_gap_win.offset() * np.ones(len(t_base)) -thetas = np.zeros([2]) - -for fi in f_fft2[1:]:#f_fft2[1:]: - theta = ls_gap_win.model_parameters(fi) - thetas = np.vstack([thetas, theta]) - - y_model += theta[1]* np.cos(t_base * 2 * np.pi *fi) + theta[0] * np.sin(t_base * 2 * np.pi *fi ) - -N=y.size - -# %% rewrite model as FFT -Y_from_LS = np.fft.rfft(y_model) - - -# %% test reconstructed model -plt.plot( t_base , data_gap *win , linewidth=2, alpha=0.9 , c='black', label=' data_grap') -plt.plot(t_base, y_model, '-', label='LS model gap') - -plt.plot(t_base[1:], np.fft.irfft(Y_from_LS), '-', label='inv FFT from fft(LS model)') - -plt.xlim(t_base[0], t_base[700]) -plt.legend() - - - -# %% fft again -Y_from_data_win = np.fft.rfft(y * win) -df3 = np.gradient(f_fft2).mean() - -# % parcevel test - -print('data var:', y.var() ) -print('Data gap var:', data_gap[~nan_mask].var() ) - -print('with window') -print('data * win var:', (y*win).var() ) -spec_data_fft3 = 2.*(Y_from_data_win*Y_from_data_win.conj()).real / df3 /y.size**2 -print('data * win fft sum:', df3 * spec_data_fft3.sum().data ) - -print('LS model var:', y_model.var() ) -spec_LS_model_fft3 = 2.*(Y_from_LS*Y_from_LS.conj()).real / df3 /y.size**2 -print('LS model fft sum:', df3 * spec_LS_model_fft3.sum().data ) - - -# %% - - - - -# %% - - - -# %% -def tanh_weight(x, x_cutoff , x_max_pos, LF_amp, HF_amp, Gauss_amp, sigma_g): - """ - zdgfsg - """ - HF_amp1 = (LF_amp-HF_amp) - decay = 0.5 - np.tanh( (x-x_cutoff)/sigma_g )/2 - y = decay * HF_amp1 + (1 - HF_amp1) - y = y- y[0] +LF_amp - - def gaus(x, x_0, amp, sigma_g ): - return amp* np.exp(-0.5 * ( (x-x_0)/sigma_g)**2) - - y += gaus(x, x_max_pos, Gauss_amp, sigma_g ) - - #y = y * LF_amp - return y - -plt.plot( f_fft2, tanh_weight( f_fft2, 0.025 + 0.02 , 0.025 , 1 , 0.1, 0.5, 0.003) ) -# %% - - -# %% - -def objective_func(params, data_x, Z_results, weight_func, freq, nan_mask = None, plot_flag=False): - # model_x= model_real_space - # data= y - - alpha =1e7 - def model_real_space(Z, weights): - """ - Both inputs must have the same length - """ - return np.fft.irfft(Z*weights) - - weights = weight_func(freq[1:], params) - - if nan_mask is not None: - model = model_real_space(Z_results, weights)[~nan_mask[1:]] - dd = data_x[~nan_mask][1:] - #print(sum(np.isnan(dd))) - else: - model = model_real_space(Z_results, weights)[:] - dd = data_x[1:] - - if plot_flag: - - F= M.figure_axis_xy(10, 4.1 * 2.5, view_scale= 0.5, container = True) - - gs = GridSpec(5,1, wspace=0.1, hspace=0.4)#figure=fig, - pos0,pos1,pos2 = gs[0:3, 0],gs[3, 0],gs[4, 0]#,gs[3, 0] - ax1 = F.fig.add_subplot(pos0) - plt.title('Stacked Timeseries', loc='left') - - chunk_l= 400 - chunk_iter = spec.create_chunk_boundaries(chunk_l, data_x.size, ov=0, iter_flag = True) - - ofsett0= 6 - ofsett = np.copy(ofsett0) - for chi in chunk_iter: - - v1= np.round(np.nanvar(dd), 4) - plt.plot(ofsett+ data_x[chi[0]:chi[-1]] , linewidth=3, alpha=0.5 , c='black', label=' org. data (var:'+str(v1)+')') - - model_init = model_real_space(Z_results, weights*0 +1)[~nan_mask[1:]] - v1= np.round(model_init.var(), 4) - plt.plot(ofsett + model_real_space(Z_results, weights*0 +1)[chi[0]:chi[-1]] ,linewidth= 0.8, c='red', label='LS model init (var:'+str(v1)+')') - - v1= np.round(model.var(), 4) - plt.plot(ofsett + model_real_space(Z_results, weights)[chi[0]:chi[-1]],linewidth= 0.8, c='blue', label='LS model weighted (var:'+str(v1)+')') - - if ofsett == ofsett0: - plt.legend() - ofsett -= 1 - - plt.ylim(ofsett, ofsett0+1) - plt.xlim(0, chunk_l*2) - - - ax2 = F.fig.add_subplot(pos1) - #ax2 = plt.subplot(3, 1, 2) - plt.title('Amplitude Weight Function', loc='left') - plt.plot(weights , c='black') - ax2.set_xscale('log') - - ax3 = F.fig.add_subplot(pos2) - plt.title('Initial and tuned |Z|', loc='left') - - #ax3 = plt.subplot(3, 1, 3) - - # v2_fft= np.fft.rfft(data_x) - # v2 = np.round( (2.*(v2_fft*v2_fft.conj()).real /data_x.size**2 ).sum(), 4) - # plt.plot(abs(v2_fft) , linewidth=2, alpha=0.5 , c='black', label='org data (var: '+str(v2) +')') - - v2 = np.round( (4.*(Z_results*Z_results.conj()).real /data_x.size**2 ).sum(), 4) - plt.plot(abs(Z_results), linewidth= 0.8, c='red', label='Z (var: '+str(v2) +')') - plt.plot(M.runningmean(abs(Z_results) , 20, tailcopy=True), linewidth= 1.5, c='red', zorder=12) - - Z2= Z_results* weights - v2 = np.round( (4.*(Z2*Z2.conj()).real /data_x.size**2 ).sum(), 4) - plt.plot(abs(Z2), linewidth= 0.8, c='blue', label='weighted Z(var: '+str(v2) +')') - plt.plot(M.runningmean(abs(Z2) , 20, tailcopy=True), linewidth= 1.5, c='blue', zorder=12) - plt.legend() - - plt.ylim( np.percentile(abs(Z_results), 0.5), abs(Z_results).max()*1.3 ) - plt.xlabel('wavenumber k') - ax3.set_xscale('log') - ax3.set_yscale('log') - - fitting_cost =( abs(dd - model) / dd.std() )**2 - variance_cost =( abs(dd.var() - model.var()) / dd.std() ) **2 - - return fitting_cost.sum() , alpha* variance_cost - - -def tanh_weight_function(ff, params): - return tanh_weight(ff, params['x_cutoff'].value, - params['x_max_pos'].value, - params['LF_amp'].value, - params['HF_amp'].value, - params['Gauss_amp'].value, - params['sigma_g'].value ) - -params = lmfit.Parameters() - -p_smothed = M.runningmean(np.abs(Y_from_LS), 20, tailcopy=True) -f_max = f_fft2[p_smothed[~np.isnan(p_smothed)].argmax()] - -lambda_max = 9.81 * 5 **2/ (2* np.pi) -params.add('x_cutoff', 1/lambda_max , min=f_max*0.75, max=f_max*5, vary=False) -params.add('x_max_pos', f_max , min=f_max*0.75, max=f_max*5, vary=False) -params.add('LF_amp', 1 , min=0.5 , max=1.2, vary= True) -params.add('HF_amp', 0.5 , min=0 , max=1.5, vary= True) -params.add('sigma_g', 0.002 , min=0.001 , max=0.05, vary= False) -params.add('Gauss_amp', 0.5 , min=0.01 , max=2, vary= True) - -# % -dx = t_base[2]- t_base[1] -stancil=t_base[0], t_base[-1] -x_model = np.arange(stancil[0], stancil[-1] + dx, dx) - -x_pos = np.round( (t_base[~nan_mask])/ 10.0, 0).astype('int') -x_pos = x_pos- x_pos[0] -#x_pos[x_pos >= t_base.size] = t_base.size-1 - -y_gridded= np.copy(x_model) * 0 -y_gridded[x_pos] = (data_gap*win)[~nan_mask] -y_gridded=y_gridded[:-1] - -data_gap.shape -y_gridded.shape -#tanh_weight_function(f_fft3, params - - -objective_func(params, (data_gap*win), Y_from_LS, tanh_weight_function, f_fft2, nan_mask = nan_mask , plot_flag= True) -# %% - -params.pretty_print() -D_data = (data_gap * win)#[~nan_mask] -Z_data= Y_from_LS# np.fft.rfft(m1_gap_windowed) -D_data.shape -# Z_mask= Z_data_final <.5 -# Z_2 = np.copy(Z_data_final) -# Z_2[Z_mask] =0 -# Z_data = Z_2 - -1/f_fft2[450] - -f_fft2[450] - -1/30 - - - -fitter = lmfit.minimize(objective_func, params, args=(D_data, Z_data, tanh_weight_function, f_fft2), - kws={'nan_mask':nan_mask} , method='dual_annealing') - -fitter.params.pretty_print() - -objective_func(fitter.params, D_data, Z_data, tanh_weight_function, f_fft2, nan_mask = nan_mask, plot_flag= True) - -plt.plot(M.runningmean(np.abs(Y_from_data_win) , 20, tailcopy=True), linewidth = 1.2, c='black' ,label= 'LS full data', zorder=12) -plt.legend() - -data_gap - -# %% -f_fft2 - - -Z_data_final = Z_data * tanh_weight_function(f_fft2[1:], fitter.params) - -Z_mask= Z_data_final <3 -plt.plot(Z_data_final) - -Z_2 = np.copy(Z_data_final) -Z_2[Z_mask] =0 - - -# %% -plt.plot( data_gap ) -plt.plot( np.fft.irfft(Z_2), 'k' ) -plt.xlim(0, 10`00) -# %% - -# %% -imp.reload(spec) -P = spec.conserve_variance(Z_data, f_fft2, D_data, nan_mask = nan_mask ) -P.set_parameters() -P.params.pretty_print() -P.test_ojective_func(P.tanh_weight_function, plot_flag=False) - -fitter = P.optimize() - - -P.plot_result() -plt.plot(np.fft.ifft(P.best_guess_Z() )) diff --git a/analysis/SB02_make_spectra_linear_inverse.py b/analysis/SB02_make_spectra_linear_inverse.py deleted file mode 100644 index 8ca687e8..00000000 --- a/analysis/SB02_make_spectra_linear_inverse.py +++ /dev/null @@ -1,469 +0,0 @@ -import os, sys -#execfile(os.environ['PYTHONSTARTUP']) - -""" -This file open a ICEsat2 track applied filters and corections and returns smoothed photon heights on a regular grid in an .nc file. -This is python 3 -""" - -exec(open(os.environ['PYTHONSTARTUP']).read()) -exec(open(STARTUP_2021_IceSAT2).read()) - -base_path='/Users/Shared/Projects/2021_IceSAT2_tracks/' -sys.path.append(base_path +'modules/') -sys.path.append(base_path +'modules/ICEsat2_SI_tools/') - -import matplotlib.pyplot as plt -%matplotlib inline - -#import m_general as M -#import m_tools as MT -import numpy as np - -import m_general_ph3 as M - -import netCDF4 -import datetime -import os -from netCDF4 import Dataset -import xarray as xr -import pandas as pd - -import ICEsat2_SI_tools.convert_GPS_time as cGPS -import h5py -import ICEsat2_SI_tools.io as io -import ICEsat2_SI_tools.spectral_estimates as spec - -import imp - -import lmfit -#import s3fs -# %% - -# Python reader based on Pandas. Other reader examples available in readers.py -plot_path = mconfig['paths']['plot'] + '/tests/' - - -track_name= 'ATL03_20190515060436_07170312_002_02' -load_path = base_path + 'data/data1/' - -# test which beams exist: -all_beams = ['gt1l', 'gt1r', 'gt2l', 'gt2r', 'gt3l', 'gt3r'] -low_beams = ['gt1l', 'gt2l', 'gt3l'] -high_beams = ['gt1r', 'gt2r', 'gt3r'] - -# %% - -#Gall= xr.open_dataset(load_path+'/'+track_name +'_filtered_photon_heights.nc') -imp.reload(io) -Gfilt = io.load_pandas_table_dict(track_name + '_B01_corrected', load_path) -Gd = io.load_pandas_table_dict(track_name + '_B01_binned' , load_path) - -# %% -Gi =Gd[high_beams[0]] -Gi = Gi[~np.isnan(Gi['heights_c_weighted_mean'])].sort_values('dist') -#np.isnan(Gi['dist']).sum() -Gi = Gi[(Gi['dist'] >= 140000) & (Gi['dist'] <= 180001)] -Gi = Gi[(Gi['dist'] >= 140000) & (Gi['dist'] <= 170001)] - -# %% - - - - -#plt.xlim(140000, 145000) -#plt.ylim(-1, 1) - -#np.diff(np.array(Gi['dist'])) -# %% test and compare to FFT -from scipy.signal import detrend -y =detrend(np.array(Gi['heights_c_weighted_mean']) ) - -y_gap= np.copy(y) -y_gap[200:2800] = np.nan -nan_mask =np.isnan(y_gap) -data_filled = np.copy(y) -data_filled[nan_mask] = 0 - -nan_mask.sum()/y_gap.size - -plt.plot( Gi['dist'], y, '-') -plt.plot( Gi['dist'], y_gap, '-') - -# %% -x= Gi['dist'] - Gi['dist'].iloc[0] -dx = np.diff(x).mean() -plt.plot( x, y_gap) - - -k_full = np.copy(np.fft.rfftfreq(x.size, d=dx) * 2* np.pi) -#k = k_full[1:201] -klim= 301# 301 -k = k_full[1:klim] -MM = k.size -NN = x.size - -2*np.pi/k[-1] - -x_gap = x[~nan_mask] - -#plt.plot( x_gap , np.cos(np.outer(x_gap, k[0:10])), '.' ) - -G = np.vstack([ np.cos(np.outer(x_gap, k)).T , np.sin(np.outer(x_gap, k)).T ] ).T -G_full = np.vstack([ np.cos(np.outer(x, k)).T , np.sin(np.outer(x, k)).T ] ).T -G.shape - -b = np.zeros([2 *MM]) -b[4] = 1 -b[300] = 1 - -b.shape -G.shape -y_gap.shape - -plt.plot( (G *b).sum(1) ) - -# Model Penalty -# regullization . 1/weight -# choose simple decay along diagonal - -import ICEsat2_SI_tools.generalized_FT as gFT -imp.reload(gFT) -k_fft = np.fft.rfftfreq(x.size, d=dx) * 2* np.pi -f_weight= np.sqrt(9.81 * k_fft) / (2 *np.pi) -data_weight = spec.Z_to_power(np.fft.rfft(data_filled), np.diff(f_weight).mean(), x.size) - -S = gFT.get_prior_spec(f_weight, data_weight ) -pars = S.set_parameters() - -f= np.sqrt(9.81 * k) / (2 *np.pi) -weight = S.create_weight(freq = f, plot_flag= False) -weight = weight + weight.max()* 0.1 # add pemnalty floor -#weight[weight< 0] =0.001 - -plt.plot(k, weight) -#weights = np.concatenate([ weight , weight ]) -#weights = np.concatenate([ weight , weight ]) - -#plt.plot( np.arange(MM, 0, -1)/MM ) -#weights = np.concatenate([ np.arange(MM, 0, -1)/MM , np.arange(MM, 0, -1)/MM ]) -weights = np.concatenate([ np.arange(MM, 0, -1)/MM , np.arange(MM, 0, -1)/MM ])# *0+1 -weights= weights+ 0.1 -plt.plot(weights) - -#weights = np.concatenate([ np.exp(-4 *np.arange(0, MM)/MM), np.exp(-4 *np.arange(0, MM)/MM) ]) -P = np.diag(weights) -P.shape - - - -# uncertainty of the data - -uncertaintiy = np.array(Gi['heights_c_std'])[~nan_mask] -#uncertaintiy = np.array(Gi['heights_c_std']) -R = np.diag( uncertaintiy ) -R.shape - -from numpy import linalg -# R = dvar is either a scalar or a vector n_data long -# estimate is: -# phat = (G'*R^-1*G + P^-1)^-1 * G'*R^-1*y < ------------------------------- - -inv = linalg.inv -inv(R).shape -G.T.shape - -#inv( (G.T @ inv(R) @ G ) + inv(P) ).shape -b_hat = inv( (G.T @ inv(R) @ G ) + inv(P) ) @ G.T @ inv(R) @ y[~nan_mask] - -plt.plot(b_hat) -# %% - -M.figure_axis_xy(10,5, view_scale =0.6) - -plt.subplot(2,1, 1) - -#plt.plot( x_gap, y_gap[~nan_mask], '-k', linewidth= 2) -plt.plot( x, y, '-k', linewidth= 2) - -#plt.plot( x , (b_hat * G).sum(1), 'r-', markersize= 1 ) -plt.plot( x[~nan_mask] , (b_hat * G).sum(1), 'r-', markersize= 1 ) -plt.plot( x[nan_mask] , (b_hat * G_full).sum(1)[nan_mask], '-', color='orange', linewidth = 0.5 ) -#plt.xlim(1000,8000) -plt.ylim(-1, 1) - -plt.subplot(2,1, 2) - -plt.plot( x[~nan_mask], (y[~nan_mask] - (b_hat * G).sum(1)) , '.k', markersize= 0.8 ) -#plt.plot( x, y_gap - (b_hat * G).sum(1) , '.k', markersize= 0.8 ) -# rr= y - (b_hat * G).sum(1) -# y.var() - (b_hat * G).sum(1).var() - rr.var() - - - -rr= y[~nan_mask] - (b_hat * G).sum(1) -y[~nan_mask].var() - (b_hat * G).sum(1).var() - rr.var() - -# rr= y - (b_hat * G).sum(1) -# y.var() - (b_hat * G).sum(1).var() - rr.var() - - -rr.var()/uncertaintiy.var() - -plt.xlim(1000,8000) -plt.ylim(-1, 1) - - - -# %% - - - - -# %% -k.shape - -sum1 = (b_hat * G).sum(0) -R = sum1[0:MM] -I = sum1[MM:] -C =(G**2)[:, 0:MM].sum(0) -S =(G**2)[:, MM:].sum(0) -ampl_spec = np.sqrt( 16* MM * (R**2/ C + I**2/ S) ) -plt.plot( k, ampl_spec) - -power_spec = ( MM * (R**2/ C + I**2/ S) ) * 2* np.pi / y_gap[~nan_mask].std()/4 -power_spec.sum() - - - - -dk = np.diff(k).mean() - - -1/dk -dx - - -phi_ft = np.arctan2(I, R) -Z2_real = ampl_spec * np.cos(phi_ft) -Z2_imag = ampl_spec * np.sin(phi_ft) - -plt.plot(Z.real) -plt.plot(Z2_real) -#plt.ylim(0,0.06) - - -# %% -Z_fft = np.fft.rfft(y) - -Z = b_hat[0:MM] - b_hat[MM:] *1j # this is per size(k) - - -x.shape - #%% - -plt.plot(k, power_spec) -############################################ -# %% -Z = b_hat[0:MM] - b_hat[MM:] *1j # this is per size(k) - -(b_hat * G).sum(1).var() -(b_hat * G).sum(1).var() / y[~nan_mask].var() - -(b_hat * G_full).sum(1).var() - -#y.var() - rr.var() -k.shape -k_full.size -x.size -x[~nan_mask].size -x_gap.size - -k.shape - -# for non gappy data -#Z_power = spec.Z_to_power(Z * k_full.size, dk, x.size) -k.size/k_full.size -k_full.size/k.size - -x_gap.size/x.size - -datat_point_frac= x_gap.size/x.size - -1/datat_point_frac -#1/np.sqrt(datat_point_frac) - -#Z_power = spec.Z_to_power(Z * k_full.size* datat_point_frac , dk, x_gap.size) -#Z_power = spec.Z_to_power(Z * k_full.size , dk, x.size) #/datat_point_frac -#Z_power = spec.Z_to_power(Z * k_full.size , dk, x.size) #/datat_point_frac -Z_power = spec.Z_to_power(Z * (x.size/2+1) , dk, x.size) #/datat_point_frac -#Z_power = spec.Z_to_power(Z * k.size , dk, x_gap.size) #/datat_point_frac - -Z_power.shape -Z_power.sum() * dk -Z_power.sum() * dk / (b_hat * G_full).sum(1).var() - - -# Z_power2 = spec.Z_to_power(Z * (x.size/2 +1) , dk, x_gap.size) -# Z_power2.sum() * dk * datat_point_frac -Z_power2 = (Z*Z.conj()).real * x.size / 2 / x_gap.size -Z_power2.sum() -Z_power2.sum() / (y[~nan_mask].var() - rr.var()) - - -Z_power2 = (Z*Z.conj()).real * x.size / 2 / x_gap.size /dk -Z_power2.sum() *dk -Z_power2.sum() *dk / (y[~nan_mask].var() - rr.var()) -#np.sqrt(2) -#Z_power.sum() * dk / datat_point_frac - -Z_power2 = ((Z * (x.size/2+1))*(Z * (x.size/2+1)).conj()).real * 2 / ( x.size * x_gap.size * dk) -Z_power2.sum() *dk -Z_power2.sum() *dk / (y[~nan_mask].var() - rr.var()) - - -1/dk/x.size -#plt.plot(k, 4*abs(Z* k_full.size)/dk/x_gap.size**2, 'b') -plt.plot(k, Z_power, 'k*') - -# -# plt.plot(Z_power, abs(Z)) -# #plt.plot( abs(Z_fft)[1:klim], abs(Z), '.') -# Z = b_hat[0:MM] - b_hat[MM:] *1j # this is per size(k) -# plt.plot(Z_power, abs(Z.imag) + abs(Z.real) )#, abs(Z)) -# -# plt.plot(abs(b_hat[0:MM]) + abs(b_hat[MM:]), abs(Z), '.') -# -# tpi= 2*np.pi -# - -Z_b_hat_full = np.fft.rfft( (b_hat * G_full).sum(1) ) -Z_b_hat_full_power = spec.Z_to_power(Z_b_hat_full , dk, x.size) -Z_b_hat_full_power -plt.plot(k, Z_b_hat_full_power[1:klim], '-g') - -Z_b_hat_full_power[1:klim].sum() *dk - - -Z_fft = np.fft.rfft(data_filled) -# #Z_fft = np.fft.rfft(y) -Z_fft_power = spec.Z_to_power(Z_fft, dk, x.size) -plt.plot(k, Z_fft_power[1:klim], 'r') -#Z_fft_power[1:klim].sum() *dk/tpi -Z_fft_power[1:klim].sum() *dk -#Z_fft_power.sum() *dk - - -################################################ -# %% define functions based onthe above: -def complex_represenation(b_hat, M, N_x_full): - """ - returns the fourrier coefficiens in b_hat as comples number Z - b_hat is the model coefficient matrix - M number if wavenumbers, ie.e size of the model matrix /2 - N_x_full it the size of the data if there wouldn't be gaps. = Lmeters / dx - i.e twice the size of the wavenumber space of a standard FFT. - - returns: - The fourier coeffcients as complex vector with the same amplitudes as from an fft, but for the model wavenumbers of b_hat. - - this returns a power spectral density with the same variance as the data without gaps. - """ - Z = b_hat[0:M] - b_hat[M:] *1j - Z = Z * (N_x_full/2+1) # this - return Z - - -def Z_to_power_gFT(Z, dk, N_x, N_x_full): - """ compute the 1d Power spectral density of a field Z - inputs: - Z complex fourier coefficients, output of .complex_represenation method - dk delta wavenumber asssuming Z is on regular grid - N_x the actual size of the data - N_x_full it the size of the data if there wouldn't be gaps. = Lmeters / dx - - returns - spec_incomplete spectral density respesenting the incomplete data ( [b_hat]^2 / dk) - spec_complete spectal density representing the (moddeled) complete data ( [b_hat]^2 / dk) - """ - - spec = 2.*(Z*Z.conj()).real - neven = True if (N_x_full%2) else False - # the zeroth frequency should be counted only once - spec[0] = spec[0]/2. - if neven: - spec[-1] = spec[-1]/2. - - # spectral density respesenting the incomplete data ( [b_hat]^2 / dk) - spec_incomplete = spec / dk / N_x / N_x_full - # spectal density representing the (moddeled) complete data ( [b_hat]^2 / dk) - spec_complete = spec / dk / N_x_full**2 - - - return spec_incomplete, spec_complete - - - -def power_from_model(b_hat, dk, M, N_x, N_x_full): - """ compute the 1d Power spectral density from the model coefficients in b_hat - - b_hat is the model coefficient matrix - M size of the model vector, size of k - N_x the actual size of the data - N_x_full is the size of the data if there wouldn't be gaps. = Lmeters / dx - - returns: - - spectral density respesenting the incomplete data ( [b_hat]^2 / dk) - """ - - Z = b_hat[0:M] - b_hat[M:] *1j - spec = (Z*Z.conj()).real * N_x_full / 2 / N_x /dk - - neven = True if (N_x_full%2) else False - spec[0] = spec[0]/2. - if neven: - spec[-1] = spec[-1]/2. - - # spectral density respesenting the incomplete data - return spec - - -ZZ = complex_represenation(b_hat, MM, x.size) -spec_in, spec_c = Z_to_power_gFT(ZZ, dk, x_gap.size, x.size) -spec_c.sum() * dk -(b_hat * G_full).sum(1).var() - -spec_in.sum() *dk -power_from_model(b_hat, dk, MM, x_gap.size, x.size).sum() *dk -(b_hat * G).sum(1).var() - -# %% -plt.plot(k, abs(Z) ) -plt.plot( k, ampl_spec , 'k') -#np.median( abs(Z_fft) / (abs(Z)*MM) ) - -# %% compate phase -plt.plot(Z_fft.real[1:klim]/ k_full.size, Z.real, '.') -plt.axis('equal') - - -(Z_fft.real[1:klim]/ k_full.size - (Z.real)).mean() -Z_fft.imag[1:klim].sum()/ k_full.size -Z.imag.sum() - -Z_fft.real[1:klim].sum()/ k_full.size -Z.real.sum() - -( (Z_fft.imag[1:klim]/ k_full.size) - (Z.imag) ).mean() -#plt.plot( (Z_fft[1:klim].imag) - (Z.imag*k_full.size)) -plt.plot( (Z_fft[1:klim].imag) ) -plt.plot( (Z.imag*k_full.size)) - -plt.plot( (Z_fft[1:klim].real) ) -plt.plot( (Z.real*k_full.size)) - -plt.plot( (Z_fft[1:klim].imag) , (Z.imag*k_full.size), '.') - -# plt.plot( (Z_fft.real) - (Z.real*MM)) -#plt.plot( ( (Z_fft.imag) - (Z.imag*MM) ) - ( (Z_fft.real) - (Z.real*MM) ) ) diff --git a/analysis/SB02_make_spectra_linear_inverse_bestfit.py b/analysis/SB02_make_spectra_linear_inverse_bestfit.py deleted file mode 100644 index 98e0eb3f..00000000 --- a/analysis/SB02_make_spectra_linear_inverse_bestfit.py +++ /dev/null @@ -1,326 +0,0 @@ -# %% -import os, sys -#execfile(os.environ['PYTHONSTARTUP']) - -""" -This file open a ICEsat2 track applied filters and corections and returns smoothed photon heights on a regular grid in an .nc file. -This is python 3 -""" - -exec(open(os.environ['PYTHONSTARTUP']).read()) -exec(open(STARTUP_2021_IceSAT2).read()) - -base_path='/Users/Shared/Projects/2021_IceSAT2_tracks/' -sys.path.append(base_path +'modules/') -sys.path.append(base_path +'modules/ICEsat2_SI_tools/') - -import matplotlib.pyplot as plt -#%matplotlib inline - -#import m_general as M -#import m_tools as MT -import numpy as np - -import m_general_ph3 as M - -import netCDF4 -import datetime -import os -from netCDF4 import Dataset -import xarray as xr -import pandas as pd - -import ICEsat2_SI_tools.convert_GPS_time as cGPS -import h5py -import ICEsat2_SI_tools.io as io -import ICEsat2_SI_tools.spectral_estimates as spec - -import imp - -import lmfit - -import generalized_FT as gFT -#import s3fs -# %% - -# Python reader based on Pandas. Other reader examples available in readers.py -plot_path = mconfig['paths']['plot'] + '/tests/' - - -track_name= 'ATL03_20190515060436_07170312_002_02' -load_path = base_path + 'data/data1/' - -# test which beams exist: -all_beams = ['gt1l', 'gt1r', 'gt2l', 'gt2r', 'gt3l', 'gt3r'] -low_beams = ['gt1l', 'gt2l', 'gt3l'] -high_beams = ['gt1r', 'gt2r', 'gt3r'] - -# %% - -#Gall= xr.open_dataset(load_path+'/'+track_name +'_filtered_photon_heights.nc') -imp.reload(io) -Gfilt = io.load_pandas_table_dict(track_name + '_B01_corrected', load_path) -Gd = io.load_pandas_table_dict(track_name + '_B01_binned' , load_path) - -# %% -Gi =Gd[high_beams[0]] -Gi = Gi[~np.isnan(Gi['heights_c_weighted_mean'])].sort_values('dist') -#np.isnan(Gi['dist']).sum() -Gi = Gi[(Gi['dist'] >= 140000) & (Gi['dist'] <= 170001)][0:2500] - -# %% test and compare to FFT -from scipy.signal import detrend -y =detrend(np.array(Gi['heights_c_weighted_mean']) ) -y.shape -y_gap= np.copy(y) -y_gap[200:1000] = np.nan -nan_mask =np.isnan(y_gap) -data_filled = np.copy(y) -data_filled[nan_mask] = 0 - -nan_mask.sum()/y_gap.size - -plt.plot( Gi['dist'], y, '-') -plt.plot( Gi['dist'], y_gap, '-') - -# %% -x= Gi['dist'] - Gi['dist'].iloc[0] -dx = np.median(np.diff(x)) -plt.plot( x, y_gap) - -y_gap_fill=np.copy(y_gap) -y_gap_fill[nan_mask]= 0 - - -# %% -import ICEsat2_SI_tools.generalized_FT as gFT -imp.reload(gFT) - -#plt.plot(data) - -# %% -# choose wavenumber range -T_max = 40 #sec -k_0 = (2 * np.pi/ T_max)**2 / 9.81 -x= np.array(Gi['dist']) -dx = np.diff(x).mean() -min_datapoint = 2*np.pi/k_0/dx - -Lpoints = int(np.round(min_datapoint) * 10 ) -Lmeters =Lpoints * dx - -#plt.plot(np.diff(np.array(Gi['dist']))) -print('L number of gridpoint:', Lpoints) - - -print('L length in km:', Lmeters/1e3) -print('approx number windows', 2* Gi['dist'].iloc[-1] /Lmeters-1 ) - - -T_min=5 -lambda_min = 9.81 * T_min**2/ (2 *np.pi) -flim = 1/T_min - -oversample = 2 -dlambda = (Lpoints *dx ) * oversample -dk = 2 * np.pi/ dlambda -kk =np.arange(0, 1/lambda_min, 1/dlambda) * 2*np.pi -#kk.shape -#kk = kk[k_0<=kk] -k = kk[1:] -kk.shape -dk = np.diff(kk).mean() - -print('2 M = ', kk.size *2 ) - -k = kk -# %% - -#k_full = np.copy(np.fft.rfftfreq(x.size, d=dx) * 2* np.pi) -#1/np.diff(k_full/2/np.pi).mean() -#k = k_full[1:201] - -x_gap = x[~nan_mask] - - -MM = k.size -MM - -NN = x_gap.size - -data_var = y_gap[~nan_mask].var() -print('2 MM= ', 2*MM, 'NN=', NN) - -#plt.plot( x_gap , np.cos(np.outer(x_gap, k[0:10])), '.' ) -G = np.vstack([ np.cos(np.outer(x_gap, k)).T , np.sin(np.outer(x_gap, k)).T ] ).T -G_full = np.vstack([ np.cos(np.outer(x, k)).T , np.sin(np.outer(x, k)).T ] ).T - -G.shape -k.size -# Model Penalty -# regullization . 1/weight - - -imp.reload(gFT) -k_fft = np.fft.rfftfreq(x.size, d=dx) * 2* np.pi -f_weight= np.sqrt(9.81 * k_fft) / (2 *np.pi) -data_weight = spec.Z_to_power(np.fft.rfft(y_gap_fill), np.diff(f_weight).mean(), x.size) - -imp.reload(gFT) - -S = gFT.get_prior_spec(f_weight, data_weight ) -pars = S.set_parameters() -S.params['gamma'].set(value =1 ,vary= False) -f= np.sqrt(9.81 * k) / (2 *np.pi) - -weight = S.create_weight(freq = f, plot_flag= True) -weight = weight + weight.max()* 0.05 # add pemnalty floor -weight = weight/weight.max() # add pemnalty floor -weight = weight *data_var - -plt.title('FFT(data) and fitted Pior model') -plt.show() -#weight[weight< 0] =0.001 -plt.plot([kk[0], kk[0]], [0, 1/weight.min()], 'k') -plt.plot([kk[-1], kk[-1]], [0, 1/weight.min()], 'k') - -plt.plot(kk, 1/weight) -#plt.plot(kk, weight) -plt.title('penalty') - -plt.plot(f, (1/f)**(1/4)) - -#next(iter(S.params.items()))[1].value - -#plt.plot( np.arange(MM, 0, -1)/MM ) -#weights = np.concatenate([ np.arange(MM, 0, -1)/MM , np.arange(MM, 0, -1)/MM ]) -weights = np.concatenate([ weight , weight ]) -weights.shape - -# weights = np.concatenate([ np.arange(MM, 0, -1)/MM , np.arange(MM, 0, -1)/MM ]) *0+1 -# weights.shape -#weights = np.concatenate([ np.exp(-4 *np.arange(0, MM)/MM), np.exp(-4 *np.arange(0, MM)/MM) ]) -P = np.diag(weights) -P_1d = weights -#plt.plot(1/weights) -P.shape - -# uncertainty of the data - -data_uncertainty = np.array(Gi['heights_c_std'])[~nan_mask] -noise_amp = 0.1 -R = np.diag( noise_amp * data_uncertainty/data_uncertainty.std() ) -R_1d = np.diag(R) -#np.array(Gi['heights_c_std'])[~nan_mask].std() - -from numpy import linalg -inv = linalg.inv - -plt.plot( - 1/np.diag(P) ) - - -# Hessian_int -# %timeit Hess =(G.T @ inv(R) @ G ) + inv(P) -# %timeit b_hat = inv( Hess) @ G.T @ inv(R) @ y[~nan_mask] - -Hess =(G.T @ inv(R) @ G ) + inv(P) -b_hat = inv( Hess) @ G.T @ inv(R) @ y[~nan_mask] - -# %timeit G_T_R_inv = G.T * (1/R_noise) -# %timeit Hess = (G_T_R_inv @ G ) + np.diag(1/P_1d) -# %timeit Hess_inv = inv(Hess) -# %timeit b_hat = Hess_inv @ G_T_R_inv @ y[~nan_mask] - - -# %% - -model_error_k = np.diag(inv( Hess)) -model_error_real = ((G**2) @ inv( Hess)).sum(1) - -residual = y_gap[~nan_mask] - (b_hat * G).sum(1) -normalized_residual = residual.var() /np.diag(R).var() - -data_var = y_gap[~nan_mask].var() -model_var = (b_hat * G).sum(1).var() -residual.var() - -print('normlized residual ', normalized_residual) -print('data variance=', data_var,'model variance', model_var, ' residual variance', residual.var()) -print('sum', data_var-model_var- residual.var()) - -# %% - -plt.plot(k, gFT.power_from_model(b_hat, dk, MM, NN, x.size) ) -plt.title('Power(b_hat)') -plt.show() - -plt.title('model error') -plt.plot(k, np.sqrt(model_error_k[0:MM]**2 + model_error_k[MM:]**2 ) ) -plt.show() -#plt.xlim(0, 0.01) -# %% -M.figure_axis_xy(10,5, view_scale =0.6) - -plt.subplot(2,1, 1) - -plt.plot( x, y_gap, '-k', linewidth= 2) -#plt.plot( x, y, '-k', linewidth= 2) -x_gap.size -k.size *2 - -plt.plot( x_gap , (b_hat * G).sum(1), 'r-', markersize= 3 , label='model') -#plt.plot( x[~nan_mask] , (b_hat * G_full).sum(1)[~nan_mask], '-', color='orange', linewidth = 0.5 , label='prediction') -plt.plot( x[nan_mask] , (b_hat * G_full).sum(1)[nan_mask], '-', color='orange', linewidth = 0.5 , label='prediction') - - -plt.plot(x_gap, np.sqrt(model_error_real) , 'b.', markersize= 1 , label= 'sqrt(model error)') - -#plt.xlim(1000,28000) -plt.ylim(-1, 1) - -plt.legend() -# % -plt.subplot(2,1, 2) - -#plt.plot( x, (y - (b_hat * G).sum(1)) , '.k', markersize= 0.8 ) -plt.plot( x_gap,residual, '.k', markersize= 0.8 , label= 'residual') - -plt.plot( x_gap, np.diag(R) , '-b', markersize= 0.8, label= 'given data uncertainty' ) -plt.legend() - - -#plt.xlim(1000,28000) -plt.ylim(-1, 1) - - -# %% Auto correlation function of the Prior - - - -plt.plot( (G @ P @ G.T)[0,0:200] ) -plt.title('Prior auto correlation') - - -# %% -plt.plot( (G * np.diag(P ) ).sum(1) ) -plt.plot( np.abs( (np.diag(P ) * G).sum(1) )[0:100] ) - -# %% -M.figure_axis_xy(7,3, view_scale =0.6) - -Z = b_hat[0:MM] - b_hat[MM:] *1j -#Z_err = model_error_k[0:MM] - model_error_k[MM:] *1j - -plt.subplot(1, 2, 1) -plt.title('abs(Z) model') - -plt.plot(k, weight/weight.max()*abs(Z).max()) - -plt.plot(k, abs(Z) ) -plt.xlabel('k ( 2 pi/ lambda) ') -plt.subplot(1, 2, 2) -plt.title('model error') -plt.plot(k, abs(Z_err)) -plt.xlabel('k ( 2 pi/ lambda) ') - -# %% diff --git a/analysis/SB03_posterior_phase_fitting.py b/analysis/SB03_posterior_phase_fitting.py deleted file mode 100644 index 697aaa6b..00000000 --- a/analysis/SB03_posterior_phase_fitting.py +++ /dev/null @@ -1,129 +0,0 @@ - -import os, sys -#execfile(os.environ['PYTHONSTARTUP']) - -""" -This file open a ICEsat2 track applied filters and corections and returns smoothed photon heights on a regular grid in an .nc file. -This is python 3 -""" - -exec(open(os.environ['PYTHONSTARTUP']).read()) -exec(open(STARTUP_2021_IceSAT2).read()) - -#%matplotlib inline - -import ICEsat2_SI_tools.convert_GPS_time as cGPS -import h5py -import ICEsat2_SI_tools.io as io -import ICEsat2_SI_tools.spectral_estimates as spec - -import imp -import copy -import spicke_remover -import datetime -import concurrent.futures as futures -#import s3fs -# %% -track_name, batch_key, test_flag = io.init_from_input(sys.argv) # loads standard experiment -#track_name, batch_key, test_flag = '20190605061807_10380310_004_01', 'SH_batch01', False -#track_name, batch_key, test_flag = '20190601094826_09790312_004_01', 'SH_batch01', False -#track_name, batch_key, test_flag = '20190207111114_06260210_004_01', 'SH_batch02', False -track_name, batch_key, test_flag = '20190219073735_08070210_004_01', 'SH_batch02', False - - - - -#print(track_name, batch_key, test_flag) -hemis, batch = batch_key.split('_') -#track_name= '20190605061807_10380310_004_01' -ATlevel= 'ATL03' - -save_path = mconfig['paths']['work'] + '/B03_spectra_'+hemis+'/' -save_name = 'B03_'+track_name - -plot_path = mconfig['paths']['plot'] + '/'+hemis+'/'+batch_key+'/' + track_name + '/B_spectra/' -MT.mkdirs_r(plot_path) -MT.mkdirs_r(save_path) -bad_track_path =mconfig['paths']['work'] +'bad_tracks/'+ batch_key+'/' -# %% - -all_beams = mconfig['beams']['all_beams'] -high_beams = mconfig['beams']['high_beams'] -low_beams = mconfig['beams']['low_beams'] -#Gfilt = io.load_pandas_table_dict(track_name + '_B01_regridded', load_path) # rhis is the rar photon data - -load_path = mconfig['paths']['work'] +'/B01_regrid_'+hemis+'/' -Gd = io.load_pandas_table_dict(track_name + '_B01_binned' , load_path) # - - -# %% -l1 = 100 -k1= 2* np.pi /l1 - -l2 = 65 -k2= 2* np.pi /l2 - -x=np.arange(0, 1000, 0.5) -y=np.arange(0, 1000, 0.5) - -z = np.sin(k1) + np.sin(k2* x) - - -# %% - -font_for_pres() -plt.semilogx(k, abs(Z) ) -ax =plt.gca() -ax.axvline(k1) -ax.axvline(k2) - -# %% - -F = M.figure_axis_xy(4,4) -#kk = np.array([k1, k2]) -kk = np.array([k1, k2]) - -kk_pos= np.array([abs(k - ki).argmin() for ki in kk]) - -Zi = Z[kk_pos]/abs(Z[kk_pos]) -plt.plot(Zi.real , Zi.imag, '.k' ) - -b = np.arange(-3*l1, l1*6, 2) - -p = np.exp( np.outer(b, kk) *1j ) -#p = np.exp( b.*kk *1j ) - -Z2= p * Zi -plt.plot( Z2.real ,Z2.imag, '.r' ) - -plt.axis('equal') -plt.grid() -F.ax.axhline(0, color='black') -F.ax.axvline(0, color='black') - -# %% -# np.angle(Zi[0]-Zi[1], deg=True) -# np.angle(Zi[1]-Zi[0], deg=True) -# -# np.angle(Zi[0]-Zi[1], deg=True) - np.angle(Zi[1]-Zi[0], deg=True) - -plt.plot( np.angle(Zi) - np.angle(Z2) ) -plt.plot( np.angle(Z2) - np.angle(Zi) ) -np.angle(Zi[1]) - np.angle(Zi[0]) - -Zi[0].dot - -np.angle(Zi[0], deg=True) -np.angle(Zi[1], deg=True) - -#@vectorize -def cdot(a, b): - return (a.real*b.real + a.imag*b.imag) - -plt.plot(np.arccos(cdot(Zi, Z2))**2) - -plt.plot( b, (np.arccos(cdot(Zi, Z2))**2).sum(1) ) -plt.grid() - -# np.arccos( (Zi[0]* Zi[1]).real + (Zi[0]* Zi[1]).imag) -# np.arccos( np.dot(Zi[0], Zi[1]) ) diff --git a/analysis/SB03_swell_phase_fitting.py b/analysis/SB03_swell_phase_fitting.py deleted file mode 100644 index 83116278..00000000 --- a/analysis/SB03_swell_phase_fitting.py +++ /dev/null @@ -1,394 +0,0 @@ - -import os, sys -#execfile(os.environ['PYTHONSTARTUP']) - -""" -This file open a ICEsat2 track applied filters and corections and returns smoothed photon heights on a regular grid in an .nc file. -This is python 3 -""" - -exec(open(os.environ['PYTHONSTARTUP']).read()) -exec(open(STARTUP_2021_IceSAT2).read()) - -#%matplotlib inline - -import ICEsat2_SI_tools.convert_GPS_time as cGPS -import h5py -import ICEsat2_SI_tools.io as io -import ICEsat2_SI_tools.spectral_estimates as spec - -import imp -import copy -import spicke_remover -import datetime -import concurrent.futures as futures -#import s3fs -# %% -track_name, batch_key, test_flag = io.init_from_input(sys.argv) # loads standard experiment -#track_name, batch_key, test_flag = '20190605061807_10380310_004_01', 'SH_batch01', False -#track_name, batch_key, test_flag = '20190601094826_09790312_004_01', 'SH_batch01', False -#track_name, batch_key, test_flag = '20190207111114_06260210_004_01', 'SH_batch02', False -track_name, batch_key, test_flag = '20190219073735_08070210_004_01', 'SH_batch02', False - - - - -#print(track_name, batch_key, test_flag) -hemis, batch = batch_key.split('_') -#track_name= '20190605061807_10380310_004_01' -ATlevel= 'ATL03' - -save_path = mconfig['paths']['work'] + '/B03_spectra_'+hemis+'/' -save_name = 'B03_'+track_name - -plot_path = mconfig['paths']['plot'] + '/'+hemis+'/'+batch_key+'/' + track_name + '/B_spectra/' -MT.mkdirs_r(plot_path) -MT.mkdirs_r(save_path) -bad_track_path =mconfig['paths']['work'] +'bad_tracks/'+ batch_key+'/' -# %% - -all_beams = mconfig['beams']['all_beams'] -high_beams = mconfig['beams']['high_beams'] -low_beams = mconfig['beams']['low_beams'] -#Gfilt = io.load_pandas_table_dict(track_name + '_B01_regridded', load_path) # rhis is the rar photon data - -load_path = mconfig['paths']['work'] +'/B01_regrid_'+hemis+'/' -Gd = io.load_pandas_table_dict(track_name + '_B01_binned' , load_path) # - -col.colormaps2(21) -# %% - - -T_max = 40 #sec -k_0 = (2 * np.pi/ T_max)**2 / 9.81 -x= np.array(Gd['gt1r']['dist']) -dx = np.diff(x).mean() -xlims = x[0], x[-1] -min_datapoint = 1/k_0/dx - -Lpoints = int(np.round(min_datapoint) * 20) -Lmeters =Lpoints * dx - -def get_stacil_data(stancil, G3, key = 'dist' ): - - mask = (G3[key] >= stancil[0]) & (G3[key] < stancil[2]) - return G3[np.array(mask)] - -def make_slopes(G3, key = 'heights_c_weighted_mean', spreed =10, verbose= False, photon_min =5): - - dd = np.copy(G3['heights_c_weighted_mean']) - dd = np.gradient(dd) - dd, _ = spicke_remover.spicke_remover(dd, spreed=spreed, verbose=verbose) - dd_nans = (np.isnan(dd) ) + (G3['N_photos'] <= photon_min) - - return dd, dd_nans - -stancil_iter = spec.create_chunk_boundaries_unit_lengths(Lmeters, xlims, ov= None , iter_flag=False) - -# %% -sys.path.append(mconfig['paths']['analysis']) -import SB04_2d_wavefield_emulator as WaveEmulator - -# test wave model -k_abs = 2 * np.pi/100 -imp.reload(WaveEmulator) -kk, ll, amps, mesh_shape = WaveEmulator.get_stancils_polar(k_abs,0, size=1, dk= k_abs/10, amp_std=k_abs/20 ) - -x=np.arange(-250, 250, 0.5) -y=np.arange(-200, 200, 0.5) - -def wavemodel(XX, YY, ks, ls, amps, group_phase = 0, amp_height= 1): - - import numpy as np - - G = np.vstack([ np.cos(np.outer(XX, ks) + np.outer(YY, ls) ).T , np.sin(np.outer(XX, ks) + np.outer(YY, ls) ).T ] ).T - - #phase1 = np.random.rand(1, amp_list.size) * np.pi*2 - #phase = np.arange(0, amp_list.size) * np.pi/2 - - b = np.hstack([ np.cos(group_phase)*amps, np.sin(group_phase) *amps]).squeeze() * amp_height - z_model = (G @ b) - - return z_model - -Nx, Ny = x.size, y.size -XX, YY = np.meshgrid(x, y) -XX, YY = XX.reshape(XX.size), YY.reshape(YY.size) - -z = wavemodel(XX, YY, kk, ll, amps).reshape(Ny, Nx) -plt.contourf(z) - -# %% select data -Gd.keys() - -def get_beam(G3, key): - G1 = G3[key] - G1['slopes'], _ = make_slopes(G1) - G1['beam']= key - return G1 - -B1= get_beam(Gd, 'gt3r') -B2= get_beam(Gd, 'gt3l') - -dist_y_mean = np.sqrt( (B1['x']-B2['x'])**2 + (B1['y']-B2['y'])**2 ).mean() - -B1['dist_y'] = 0 -B2['dist_y'] = dist_y_mean - -GG = pd.concat( [B1, B2] ) -#GG = get_beam(Gd, 'gt3r') - -stancil = stancil_iter[:, 30] -GG = get_stacil_data(stancil, GG).sort_values(['beam','dist']) - -# %% -GG['x_prime'] = GG['x'] - GG['x'].min() -GG['y_prime'] = GG['y'] - GG['y'].max() -# plt.plot(GG['x_prime'], GG['y_prime'] , '.', markersize = 0.5) -# plt.axis('equal') - -# %% get peak wavenumber, power and spreed - -G4 = GG -def get_fft(G4, beam, dx): - G4[G4['beam'] == beam] - ys = np.copy(G4['slopes']) - ys[np.isnan(ys)] =0 - k_fft = np.fft.rfftfreq(ys.size, d=dx) * 2* np.pi - return np.fft.rfft(ys), k_fft - -B1_fft, k_fft = get_fft(GG, 'gt3r', dx) -B2_fft, k_fft = get_fft(GG, 'gt3l', dx) - -Z_fft = (B1_fft+ B2_fft)/2 -Z_fft_rm = M.runningmean(abs(Z_fft), 2, tailcopy=True) -Z_max_pos = Z_fft_rm[~np.isnan(Z_fft_rm)].argmax() -k_fft_max = k_fft[Z_max_pos] -Z_max = Z_fft[Z_max_pos] - -font_for_pres() -plt.plot(k_fft, abs(Z_fft) ) -plt.plot(k_fft, Z_fft_rm ) -plt.plot(k_fft_max, Z_fft_rm[Z_max_pos], '.', markersize= 20) - -def gaus(x, x_0, amp, sigma_g ): - return amp* np.exp(-0.5 * ( (x-x_0)/sigma_g)**2) - -dk =0.002 -plt.plot(k_fft, gaus(k_fft, k_fft_max, Z_max , dk ), 'r', linewidth = 2 ) -plt.xlim(0, 0.1) - -# %% -k_prime_abs = k_fft_max#2 * np.pi/ 200 -imp.reload(WaveEmulator) - -alpha = 60 -for group_phase in np.linspace(0, 2* np.pi,4): - - akpha_rad= alpha *np.pi/180 - k_abs = k_prime_abs / np.cos(akpha_rad) - print(k_abs, k_prime_abs) - kk, ll, amps, mesh_shape = WaveEmulator.get_stancils_polar(k_abs, akpha_rad , size=0 , dk= dk , plot_flag= False) - - print('k mean ', kk.mean(), 'l mean ', ll.mean() ) - # x2 = np.arange( GG['x_prime'].min(), GG['x_prime'].max(), 1) - # y2 = x2 * 0 - # x2, y2 = np.concatenate([x2, x2]), np.concatenate([y2, y2+60]) - # #z_model = wavemodel( x2, y2 , kk, ll, amps) - - N = GG.shape[0] - #abs(Z_max)**2/ N - - # normalized version - #amp_Z = abs(Z_max)/np.sqrt(2)/2 - # dimensional version - amp_Z = 2* abs(Z_max)**2 /N - GG['z_model'] = wavemodel( GG['dist'],GG['dist_y'], kk, ll, amps, group_phase= group_phase, amp_height= amp_Z) - - M.figure_axis_xy(6, 5.5, view_scale = 0.5) - - beam = 'gt3l' - plt.subplot(2, 1, 1) - plt.title(beam +' ' + str(alpha) ) - #plt.plot(GG['x_prime'], GG['z_model'], '.' ) - - GGsel =GG[GG['beam'] == beam] - plt.plot(GGsel['dist'], GGsel['z_model'], c=col.gray) - - # diumensional version - plt.plot(GGsel['dist'], GGsel['slopes'] , '-', c=col.cascade2) - - # normalized version - #plt.plot(GGsel['dist'], GGsel['slopes']/GGsel['slopes'].std() , '-', c=col.cascade2) - - beam = 'gt3r' - plt.subplot(2, 1, 2) - plt.title(beam +' ' + str(alpha) ) - GGsel =GG[GG['beam'] == beam] - plt.plot(GGsel['dist'], GGsel['z_model'], c=col.gray) - plt.plot(GGsel['dist'], GGsel['slopes'] , '-', c=col.rascade2) - - plt.show() - -# %% - - -#abs(Z_max)**2/ N - -# normalized version -#amp_Z = abs(Z_max)/np.sqrt(2)/2 - -# dimensional version -amp_Z = 2* abs(Z_max)**2 /N - -def get_z_model(x_positions, y_position, K_prime, K_amp, alpha_rad, group_phase, dk, size =0): - - K_abs = K_prime / np.cos(alpha_rad) - kk, ll, amps, mesh_shape = WaveEmulator.get_stancils_polar(K_abs, alpha_rad , size=size , dk= dk , plot_flag= False) - - return wavemodel( x_positions,y_position, kk, ll, amps, group_phase= group_phase, amp_height= K_amp) - - - -def objective_func(pars, x, y, z, test_flag= False ): - - z_model = get_z_model(x, y, pars['K_prime'], pars['K_amp'],pars['alpha'],pars['group_phase'], pars['dk'], size=pars['model_size']) - cost =( abs(z - z_model) )**2 /z.std()**2 - if test_flag: - return z_model - else: - return cost - - -def plot_instance(GG3, data_key, model_key, non_dim=False ): - - import itertools - F = M.figure_axis_xy(8, 5, view_scale = 0.5) - - beam_list = list(set(GG3['beam'])) - - - col_list = itertools.cycle([col.cascade2, col.rascade2, col.cascade1, col.rascade1, col.cascade3, col.rascade3]) - subz = len(beam_list) - for beam, i in zip(beam_list, np.arange(1, subz+1, 1)): - - plt.subplot(subz, 1, i) - plt.title(beam ) - #plt.plot(GG['x_prime'], GG['z_model'], '.' ) - - GGsel =GG3[GG3['beam'] == beam] - plt.plot(GGsel['dist'], GGsel[model_key], c=col.gray) - - if non_dim: - # normalized version - plt.plot(GGsel['dist'], GGsel['slopes']/GGsel['slopes'].std() , '-', c=next(col_list)) - else: - # diumensional version - plt.plot(GGsel['dist'], GGsel[data_key] , '-', c=next(col_list)) - - return F - - - -#GG = pd.concat( [B1, B2] ) -GG = pd.concat( [B1, B2] ) - -stancil = stancil_iter[:, 30] -GG = get_stacil_data(stancil, GG).sort_values(['beam','dist']) -#GG['slopes'] = zm -slopes1 = GG[GG['beam'] == 'gt3r']['slopes'] -GG['slopes'] = np.concatenate([slopes1, slopes1]) - - - -# %% - - -import lmfit as LM -params = LM.Parameters() -params.add('K_prime', k_prime_abs , vary=False , min=k_prime_abs*0.5, max=k_prime_abs*1.5) -params.add('K_amp', amp_Z , vary=False , min=amp_Z*.5, max=amp_Z*5) -params.add('alpha', np.pi/4 , vary=True , min=-0.95 * np.pi /2, max=0.95 * np.pi /2) -params.add('group_phase', 0 , vary=True , min=0, max= 2*np.pi) -params.add('dk', dk , vary=False , min=1e-4, max= 0.05) -params.add('model_size', 0 , vary=False , min=0, max= 2) - - -# test: this should be 0 -zm =get_z_model( GG['dist'],GG['dist_y'], k_prime_abs, amp_Z, np.pi/4, 0 , dk) -objective_func(params, GG['dist'],GG['dist_y'], zm) - -objective_func(params, GG['dist'],GG['dist_y'], GG['slopes']) - -fitting_args = (GG['dist'],GG['dist_y'], GG['slopes']) -#fitting_kargs = {'size' :1} - -fitter = LM.minimize(objective_func, params, args=fitting_args, method='brute', Ns=100, workers=4, max_nfev=None) -GG['z_model'] = objective_func(fitter.params, GG['dist'],GG['dist_y'], GG['slopes'] , test_flag= True) -plot_instance(GG, 'slopes', 'z_model' ) -fitter - - -# %% - -params2 = fitter.params.copy() -params2['model_size'].value = 0 -params2['K_prime'].vary = True -#params2['dk'].vary = False -#params2['dk'].value = params2['K_prime']/20 - -#params2['alpha'].vary = False -params2['group_phase'].vary = True -#params2['K_amp'].vary = True - - -fitter2 = LM.minimize(objective_func, params2, args=fitting_args, method='dual_annealing', max_nfev=None) -#fitter3 = LM.minimize(objective_func, params2, args=fitting_args, method='emcee', nwalkers=100, steps=1500) -GG['z_model'] = objective_func(fitter2.params, GG['dist'],GG['dist_y'], GG['slopes'] , test_flag= True) -plot_instance(GG, 'slopes', 'z_model' ) -fitter2 - - -# %% rotation test -#GG = pd.concat( [B1, B2] ) -GG = pd.concat( [B1, B2] ) - -stancil = stancil_iter[:, 30] -GG = get_stacil_data(stancil, GG).sort_values(['beam','dist']) -#GG['slopes'] = zm -slopes1 = GG[GG['beam'] == 'gt3r']['slopes'] -GG['slopes'] = np.concatenate([slopes1, np.roll(slopes1, int( (0 *np.pi/4) * (2*np.pi/ k_prime_abs)/dx ))]) - -import lmfit as LM -params = LM.Parameters() -params.add('K_prime', k_prime_abs , vary=False , min=k_prime_abs*0.5, max=k_prime_abs*1.5) -params.add('K_amp', amp_Z , vary=False , min=amp_Z*.5, max=amp_Z*5) -params.add('alpha', np.pi/4 , vary=True , min=-0.95 * np.pi /2, max=0.95 * np.pi /2) -params.add('group_phase', 0 , vary=True , min=0, max= 2*np.pi) -params.add('dk', dk , vary=False , min=1e-4, max= 0.05) -params.add('model_size', 0 , vary=False , min=0, max= 2) - - -# test: this should be 0 -zm =get_z_model( GG['dist'],GG['dist_y'], k_prime_abs, amp_Z, np.pi/4, 0 , dk) -objective_func(params, GG['dist'],GG['dist_y'], zm).sum() - -objective_func(params, GG['dist'],GG['dist_y'], GG['slopes']).sum() - -fitting_args = (GG['dist'],GG['dist_y'], GG['slopes']) -#fitting_kargs = {'size' :1} -fitter = LM.minimize(objective_func, params, args=fitting_args, method='dual_annealing', max_nfev=None) -GG['z_model'] = objective_func(fitter.params, GG['dist'],GG['dist_y'], GG['slopes'] , test_flag= True) -plot_instance(GG, 'slopes', 'z_model' ) -fitter -# %% - -params2 = fitter.params.copy() -params2['K_prime'].vary = True -GG['slopes_smth'] = M.runningmean_wrap_around(np.array(GG['slopes']), 2) -fitter2 = LM.minimize(objective_func, params, args=fitting_args, method='dual_annealing', max_nfev=None) -#fitter3 = LM.minimize(objective_func, params2, args=fitting_args, method='emcee', nwalkers=100, steps=1500) -GG['z_model'] = objective_func(fitter2.params, GG['dist'],GG['dist_y'], GG['slopes_smth'] , test_flag= True) -plot_instance(GG, 'slopes_smth', 'z_model' ) -fitter2 -# %% diff --git a/analysis/SB03_swell_phase_fitting_fake.py b/analysis/SB03_swell_phase_fitting_fake.py deleted file mode 100644 index 6c3eb997..00000000 --- a/analysis/SB03_swell_phase_fitting_fake.py +++ /dev/null @@ -1,524 +0,0 @@ - -import os, sys -#execfile(os.environ['PYTHONSTARTUP']) - -""" -This file open a ICEsat2 track applied filters and corections and returns smoothed photon heights on a regular grid in an .nc file. -This is python 3 -""" - -exec(open(os.environ['PYTHONSTARTUP']).read()) -exec(open(STARTUP_2021_IceSAT2).read()) - -#%matplotlib inline - -import ICEsat2_SI_tools.convert_GPS_time as cGPS -import h5py -import ICEsat2_SI_tools.io as io -import ICEsat2_SI_tools.spectral_estimates as spec - -import imp -import copy -import spicke_remover -import datetime -import concurrent.futures as futures -#import s3fs -# %% -track_name, batch_key, test_flag = io.init_from_input(sys.argv) # loads standard experiment -#track_name, batch_key, test_flag = '20190605061807_10380310_004_01', 'SH_batch01', False -#track_name, batch_key, test_flag = '20190601094826_09790312_004_01', 'SH_batch01', False -#track_name, batch_key, test_flag = '20190207111114_06260210_004_01', 'SH_batch02', False -#track_name, batch_key, test_flag = '20190219073735_08070210_004_01', 'SH_batch02', False -track_name, batch_key, test_flag = '20190601093502_09790310_004_01', 'SH_batch02', False - - - -#print(track_name, batch_key, test_flag) -hemis, batch = batch_key.split('_') -#track_name= '20190605061807_10380310_004_01' -ATlevel= 'ATL03' - -save_path = mconfig['paths']['work'] + '/B03_spectra_'+hemis+'/' -save_name = 'B03_'+track_name - -#plot_path = mconfig['paths']['plot'] + '/'+hemis+'/'+batch_key+'/' + track_name + '/B_spectra/' -plot_path = mconfig['paths']['plot'] + '/phase_fitting_fake/' -MT.mkdirs_r(plot_path) -MT.mkdirs_r(save_path) -bad_track_path =mconfig['paths']['work'] +'bad_tracks/'+ batch_key+'/' -# %% - -all_beams = mconfig['beams']['all_beams'] -high_beams = mconfig['beams']['high_beams'] -low_beams = mconfig['beams']['low_beams'] -#Gfilt = io.load_pandas_table_dict(track_name + '_B01_regridded', load_path) # rhis is the rar photon data - -load_path = mconfig['paths']['work'] +'/B01_regrid_'+hemis+'/' -Gd = io.load_pandas_table_dict(track_name + '_B01_binned' , load_path) # - -col.colormaps2(21) -# %% - - -T_max = 40 #sec -k_0 = (2 * np.pi/ T_max)**2 / 9.81 -x= np.array(Gd['gt1r']['dist']) -dx = np.diff(x).mean() -xlims = x[0], x[-1] -min_datapoint = 1/k_0/dx - -Lpoints = int(np.round(min_datapoint) * 20) * 0.5 -Lmeters =Lpoints * dx - -xg = np.arange(Lpoints) *dx -yg = np.array([0, 300]) -XX, YY = np.meshgrid(xg, yg) -Nx, Ny = xg.size, yg.size - -# %% -sys.path.append(mconfig['paths']['analysis']) -import SB04_2d_wavefield_emulator as WaveEmulator - -# test wave model -T_max = 14 #sec -k_abs = (2 * np.pi/ T_max)**2 / 9.81 -print(k_abs) -angle =angle_true = 30 * np.pi/180 -imp.reload(WaveEmulator) - -#kk, ll, amps, mesh_shape = WaveEmulator.get_stancils_polar(k_abs, angle, size=20, dk= 0.005 , plot_flag=False, random = True) -kk, ll, amps, mesh_shape = WaveEmulator.get_stancils_polar(k_abs, angle, size=200, dk= 0.003 , plot_flag=False, random = True) -#kk, ll, amps, mesh_shape = WaveEmulator.get_stancils_polar(k_abs, angle, size=2, dk= 0.005 , plot_flag=False, random = True) - -k_noise, l_noise, amp_noise, stancil_shape = WaveEmulator.get_stancils_polar(0.8, 0 * np.pi/180, size=2, dk = 1, mesh = True , plot_flag= False, random = True) -#k_noise, l_noise, amp_noise, stancil_shape = WaveEmulator.get_stancils_polar(0.8, 0 * np.pi/180, size=20, dk = 0.9, mesh = True , plot_flag= False, random = True) -amp_noise = (amp_noise *0+1) * 0 - -k_all = np.concatenate([kk, k_noise]) -l_all = np.concatenate([ll, l_noise]) -amp_all = np.concatenate([amps, amp_noise]) - -phase = (np.random.random(amp_all.size) ) *2*np.pi -G = np.vstack([ np.cos(np.outer(XX, k_all) + np.outer(YY, l_all)).T , np.sin(np.outer(XX, k_all) + np.outer(YY, l_all)).T ] ).T - -b = np.hstack([ np.cos(phase)*amp_all, np.sin(phase) *amp_all]).squeeze() -z_model = (G @ b) -z_model += np.random.normal(0, 1,z_model.size) * z_model.std()/2 -z_model = z_model.reshape(Ny, Nx) - -GG0 = pd.DataFrame(columns = ['x', 'y', 'slopes']) -GG0['x_prime'] = XX.reshape(Nx*Ny) -GG0['y_prime'] = YY.reshape(Nx*Ny) -GG0['slopes'] = z_model.reshape(Nx*Ny) -GG0['dist'] = np.sqrt( (GG0['x_prime']) **2 + (GG0['y_prime'])**2) -GG= GG0 -#plt.plot(GG['x_prime'], GG['slopes'] , '-', markersize = 0.8) -plt.plot(GG['x_prime'], GG['slopes'] + GG0['y_prime']/10 , '-', markersize = 0.8) -plt.grid() -key_name = 'Lp'+ str(int(Lpoints)) + '_size' + str(int(kk.size)) + '_angle' + str(int(np.round(angle *180/np.pi, 0))) - -M.save_anyfig(plt.gcf(), name= key_name+ '_realization', path= plot_path ) -plt.show() -# plt.plot(GG['x_prime']/1e3, GG['y_prime']/1e3) -# plt.show() - -# plt.axis('equal') - -# %% get peak wavenumber, power and spreed -def get_fft(y , dx): - ys = np.copy(y) - ys[np.isnan(ys)] =0 - k_fft = np.fft.rfftfreq(ys.size, d=dx) * 2* np.pi - return np.fft.rfft(ys), k_fft - - -B1_fft, k_fft = get_fft(GG0[ GG0['y_prime'] == 0 ]['slopes'], dx) -B2_fft, k_fft = get_fft(GG0[ GG0['y_prime'] == 300 ]['slopes'], dx) - -Z_fft = (B1_fft+ B2_fft)/2 -#Z_fft = Z_fft[1:] -Z_fft_rm = M.runningmean(abs(Z_fft), 2, tailcopy=True) - -k_fft = k_fft[~np.isnan(Z_fft_rm)] -Z_fft = Z_fft[~np.isnan(Z_fft_rm)] -Z_fft_rm = Z_fft_rm[~np.isnan(Z_fft_rm)] - -Z_max_pos = Z_fft_rm.argmax() -k_fft_max = k_fft[Z_max_pos] -Z_max = Z_fft_rm[Z_max_pos] - - -# Z_sort = Z_fft_rm.argsort()[::-1] -# k_fft[Z_sort].shape -# K_fft_sel = k_fft[Z_sort][np.cumsum(Z_fft_rm[Z_sort])/np.sum(Z_fft_rm) <0.2] -# Z_fft_sel = Z_fft_rm[Z_sort][np.cumsum(Z_fft_rm[Z_sort])/np.sum(Z_fft_rm) <0.2] -# -# plt.plot(K_fft_sel, Z_fft_sel, '.') -#plt.plot(k_fft, Z_fft_rm ) - -# % -font_for_pres() -plt.plot(k_fft, abs(Z_fft) ) -plt.plot(k_fft, Z_fft_rm ) -treshold = np.nanmean(Z_fft_rm) + np.nanstd(Z_fft_rm) *3 -# k_fft_max_list = k_fft[Z_fft_rm > treshold] -# Z_max_list = Z_fft_rm[Z_fft_rm > treshold] - -dk = np.diff(k_fft).mean() -k_interp = np.arange(k_fft[0], k_fft[-1], dk/4) -Z_interp = np.interp( k_interp, k_fft, abs(Z_fft_rm) ) -mask_interp = abs(Z_interp) > treshold -plt.plot(k_interp[mask_interp], Z_interp[mask_interp], '.') - -k_list_interp , Z_list_interp = k_interp[mask_interp], Z_interp[mask_interp] - -mask = abs(Z_fft) > treshold -k_fft_max_list = k_fft[mask] -Z_max_list = abs(Z_fft)[mask] - -plt.plot(k_fft_max_list, Z_max_list, '.r', markersize= 20) - - -def gaus(x, x_0, amp, sigma_g ): - return amp* np.exp(-0.5 * ( (x-x_0)/sigma_g)**2) - -k_sigma =0.003 - -plt.plot(k_fft, gaus(k_fft, k_fft_max, Z_max , k_sigma ), 'r', linewidth = 2 ) - - -k_list_gauss = np.arange(k_fft_max - 1.5* k_sigma, k_fft_max + 1.5* k_sigma+ np.diff(k_fft).mean(), np.diff(k_fft).mean()/2) -Z_max_list_gauss =gaus(k_list_gauss, k_fft_max, Z_max , k_sigma ) -plt.plot(k_list_gauss, Z_max_list_gauss, 'b.', linewidth = 2 ) -plt.xlim(0, 0.09) -M.save_anyfig(plt.gcf(), name= key_name+ '_fft', path= plot_path ) - -# %% - -def get_wavenumbers_polar( amp, angle_rad): - """ - inputs: - - amp length of peak k vector in radial coordinates - angle_rad angle of peak k vector in radians between - pi/2 to + pi/2 - - returns: - wavenumber k,l - """ - import numpy as np - k0 = amp * np.cos(angle_rad) - l0 = amp * np.sin(angle_rad) - - return k0, l0 - -def wavemodel(XX, YY, ks, ls, amps, group_phase = 0): - - import numpy as np - - G = np.vstack([ np.cos(np.outer(XX, ks) + np.outer(YY, ls) ).T , np.sin(np.outer(XX, ks) + np.outer(YY, ls) ).T ] ).T - - #phase1 = np.random.rand(1, amp_list.size) * np.pi*2 - #phase = np.arange(0, amp_list.size) * np.pi/2 - - b = np.hstack([ np.cos(group_phase) * amps , np.sin(group_phase) * amps ]).squeeze() - z_model = (G @ b) - - return z_model - -# %% - -def get_z_model(x_positions, y_position, K_prime, K_amp, alpha_rad, group_phase): - - K_abs = K_prime / np.cos(alpha_rad) - - k = K_abs * np.cos(alpha_rad) - l = K_abs * np.sin(alpha_rad) - - return wavemodel( x_positions,y_position, k, l, np.array(K_amp ), group_phase= group_phase) - - - -def objective_func(pars, x, y, z, test_flag= False , alpha_prior= None ): - - z_model = get_z_model(x, y, pars['K_prime'], pars['K_amp'], pars['alpha'],pars['group_phase']) - if alpha_prior is not None: - penalties = np.array([ abs(alpha_prior - pars['alpha']) / (5 * np.pi/ 180) ]) - else: - penalties = np.array([0]) - - cost =( abs(z - z_model) )**2 /z.std()**2 - if test_flag: - return z_model - else: - return np.concatenate([cost , 2 * penalties]) - -#objective_func(fitter.params, *fitting_args , test_flag= False, alpha_prior = -np.pi/4) - -def plot_brute_force(fitter_brute): - - clevel = np.linspace(0.4, 1.2, 30) - plt.contourf(fitter_brute.brute_grid[1,:,:], fitter_brute.brute_grid[0,:,:], fitter_brute.brute_Jout/fitter_brute.brute_Jout.mean() , clevel, cmap= plt.cm.YlGnBu_r ) - - plt.colorbar() - plt.scatter(fitter_brute.brute_grid[1,:,:], fitter_brute.brute_grid[0,:,:], s=0.2, alpha= 0.4, color='black') - plt.plot(fitter_brute.brute_x0[1], fitter_brute.brute_x0[0], '+r', markersize=20, label= 'Brute force') - - plt.xlabel('Phase (rad)') - plt.ylabel('Angle (rad)') - - plt.legend() - -def plot_instance(GG3, data_key, model_key, non_dim=False , view_scale = 0.3, fitter=None, title_str= None): - - import itertools - F = M.figure_axis_xy(5,6, view_scale = view_scale, container = True) - plt.suptitle(title_str) - gs = GridSpec(4, 2, wspace=0.3, hspace=1.2)#figure=fig, - - #beam_list = list(set(GG3['beam'])) - beam_list = [0, 300] - - col_list = itertools.cycle([col.cascade2, col.rascade2, col.cascade1, col.rascade1, col.cascade3, col.rascade3]) - - - subz = len(beam_list) - for beam, pos in zip(beam_list, [ gs[0, :] , gs[1, :] ] ): - - F.ax2 = F.fig.add_subplot(pos) - plt.title( 'y=' + str(beam) , loc='left') - #plt.plot(GG['x_prime'], GG['z_model'], '.' ) - - GGsel =GG3[GG3['y_prime'] == beam] - plt.plot(GGsel['dist'], GGsel[model_key], c=col.gray, linewidth = 1) - - if non_dim: - # normalized version - plt.plot(GGsel['dist'], GGsel['slopes']/GGsel['slopes'].std() , '-', linewidth = 0.5, c=next(col_list)) - else: - # diumensional version - plt.plot(GGsel['dist'], GGsel[data_key] , '-', c=next(col_list), linewidth = 0.5) - plt.ylabel('slope (m/m)') - - plt.xlabel('meter') - - F.ax3 = F.fig.add_subplot(gs[2:, :]) - if fitter is not None: - plt.title('Brute-force costs', loc='left') - plot_brute_force(fitter) - - return F - -#plot_instance(GG, 'slopes', 'z_model' , view_scale= 0.7, fitter= fitter_brute, title_str='sdgjfds') - - -# %% -# dimensional version -N = GG.shape[0] -amp_Z = 2* abs(Z_max)**2 /N - -import lmfit as LM -params0 = LM.Parameters() -params0.add('alpha', 0 , vary=True , min=-0.95 * np.pi /2, max=0.95 * np.pi /2) -params0.add('group_phase', 0 , vary=True , min=0, max= 2*np.pi) - -# test: this should be 0 -np.isnan(GG['slopes']).sum() -fitting_args = (GG['x_prime'],GG['y_prime'], GG['slopes']/GG['slopes'].std(), ) -fitting_kargs = {'alpha_prior': None} - -N_data = GG['x_prime'].size -angle_list = list() -#fitting_kargs = {'size' :1} -L = pd.DataFrame(index=['alpha', 'group_phase', 'K_prime', 'K_amp'] ) - -Z_indexes = np.argsort(Z_max_list_gauss)[::-1] -cost_stack = dict() - -#for k_prime_max,Z_max in zip(k_list_gauss[Z_indexes],Z_max_list_gauss[Z_indexes] ): -N_grid = 90 -#for k_prime_max,Z_max in zip(k_fft_max_list,Z_max_list): -for k_prime_max,Z_max in zip(k_list_interp , Z_list_interp): - - print(k_prime_max) - amp_enhancement = 1 - amp_Z = 1 #amp_enhancement * abs(Z_max)**2 /N - - params = params0.copy() - params.add('K_prime', k_prime_max , vary=False , min=k_prime_max*0.5, max=k_prime_max*1.5) - params.add('K_amp', amp_Z , vary=False , min=amp_Z*.5 , max=amp_Z*5) - - #fitter = LM.minimize(objective_func, params, args=fitting_args, method='dual_annealing',max_nfev=None) - fitter_brute = LM.minimize(objective_func, params, \ - args=fitting_args,kws=fitting_kargs , method='brute', Ns=N_grid, ) - fitter = LM.minimize(objective_func, fitter_brute.params, \ - args=fitting_args,kws=fitting_kargs , method='differential_evolution',max_nfev=None) - - GG['z_model'] = objective_func(fitter.params, *fitting_args , test_flag= True) - angle_list.append(fitter.params['alpha'].value) - #fitting_kargs = {'alpha_prior': np.mean(angle_list )} - fitting_kargs = {'alpha_prior': None} - F = plot_instance(GG, 'slopes', 'z_model', fitter = fitter_brute, view_scale = 0.5, non_dim=True ) - - plt.plot(fitter.params['group_phase'].value, fitter.params['alpha'].value, '.r', markersize=20) - print(fitting_kargs) - print(fitter.params.pretty_print()) - plt.show() - - cost_stack[k_prime_max] = xr.DataArray( fitter_brute.brute_Jout/N_data, dims= ('angle', 'phase'), coords = {'angle':np.linspace(-np.pi/2, np.pi/2, N_grid), 'phase':np.linspace(0, 2* np.pi, N_grid) } ) - cost_stack[k_prime_max].coords['k'] = np.array(k_prime_max) #( ('k'), np.array(k_prime_max) ) - - - L[k_prime_max] = fitter.params.valuesdict().values() - - #F.save_light(path= plot_path, name = key_name + '_fit_k' + str(k_prime_max)) - -cost_stack = xr.concat(cost_stack.values(), dim='k' ).sortby('k') - -L = L.T.sort_values('K_prime') - - - -# %% -cost_stack2 = cost_stack #/ cost_stack.mean('angle').mean('phase').mean() -cost_stack_rolled = xr.DataArray(coords = cost_stack.coords) - -shift_list = list() - -for kindex in L.index: - #.sel( phase= L[i]['group_phase'], method ='nearest').plot() - ii = abs(cost_stack.k - kindex).argmin().data - - shift = int( -abs(cost_stack.phase - L['group_phase'][kindex]).argmin().data + cost_stack.phase.size/2 ) - #shift = int(- abs(cost_stack.phase - L['group_phase'][kindex]).argmin().data ) - shift_list.append(shift) - cost_stack_rolled[ii, :,:]= cost_stack.sel(k= kindex).roll(phase = shift, roll_coords='phase').data - - # M.figure_axis_xy(7, 3, view_scale= 0.5) - # plt.subplot(1, 2,1) - # cost_stack.sel(k= kindex).plot(cmap =plt.cm.Blues_r) - # plt.plot(L.T[kindex]['group_phase'], L.T[kindex]['alpha'], '.r', markersize=20) - # - # plt.subplot(1, 2,2) - # cost_stack_rolled[ii, :,:].plot(cmap =plt.cm.Blues_r) - # plt.show() - -cost_stack_rolled['phase'] = cost_stack_rolled['phase'] - np.pi - -#weights = xr.DataArray(Z_max_list_gauss, dims ='k', coords = {'k': k_list_gauss}) -weights = xr.DataArray(Z_max_list, dims ='k', coords = {'k': k_fft_max_list}) -weights2 = 1/ cost_stack_rolled.sel(phase=0, method = 'nearest').min('angle') -#plt.plot(weights) -data_normed = cost_stack_rolled #/cost_stack_rolled.std(['angle', 'phase']) -cost_wmean = (weights * data_normed /weights.sum() ).sum('k') -# %% cross correlation - -A1 = GG[GG['y_prime'] == 0] -A2 = GG[GG['y_prime'] == 300] - -def autocrosscorr_func_1d(dd1, dd2): - "takes data s as xarray" - - #print(dim) - xp1=(dd1-dd1.mean()) - xp2=(dd2-dd2.mean()) - var=xp2.var() - corr=np.correlate(xp1,xp2,'full')[len(xp1)-1:]/var/len(xp1) - return corr - -ymean = abs(A1['y_prime'].mean() - A2['y_prime'].mean()) -angle_rad = np.concatenate([ -np.arctan2(A2['x_prime'], ymean)[::-1], np.arctan2(A2['x_prime'], ymean) ]) -cross_corr = np.concatenate([autocrosscorr_func_1d(A1['slopes'][::-1], A2['slopes'][::-1])[::-1], autocrosscorr_func_1d(A1['slopes'], A2['slopes']) ]) - -#plt.plot( angle_rad, cross_corr ) - - -# %% - -F = M.figure_axis_xy(6, 6.5, view_scale= 0.5) -ax = plt.subplot(3, 1, 1) -plt.title( 'Normalized weighted mean cost at maximum phase', loc='left') -dn_unweighted = data_normed.mean('k') - -plt.plot(data_normed.angle* 180/np.pi, M.normalize(dn_unweighted.sel(phase=0, method = 'nearest') ) , label='mean') -plt.plot(cost_wmean.angle* 180/np.pi , M.normalize( cost_wmean.sel(phase=0, method = 'nearest') ) , label='weighted mean' ) - -def get_min_values(field2d, x, y): - min_pos = np.unravel_index(field2d.argmin(), field2d.shape) - return x[min_pos[0]] , y[min_pos[1]] - -angle_mean, phase_mean = get_min_values(cost_wmean,cost_wmean.angle, cost_wmean.phase ) - -phase_mean, angle_mean -angle_mean.data * 180 /np.pi - -ax.axvline(angle_true* 180 /np.pi, linewidth = 1, color = 'black', label ='True') - -plt.legend() -plt.xlabel('Angle (deg)') -plt.ylabel('normalized cost') -plt.xlim(-80, 80) - - -ax = plt.subplot(3, 1, 2) -plt.title( 'minus Lagged cross-correlation', loc='left') -plt.plot( angle_rad* 180 /np.pi, - cross_corr ) - -ax.axvline(angle_true* 180 /np.pi, linewidth = 1, color = 'black', label ='True') - -plt.legend() -plt.xlabel('Angle (deg)') -plt.ylabel('corr') -plt.xlim(-80, 80) - - -ax = plt.subplot(3, 1, 3) - -plt.plot( angle_rad* 180 /np.pi, 1/np.cos(angle_rad) , c='k' ) -ax.axvline(angle_true* 180 /np.pi, linewidth = 1, color = 'black', label ='True') - -plt.title( 'Angle correction factor for wavenumber (1/cos($\\alpha$))', loc='left') -plt.xlabel('Angle (deg)') -plt.ylabel('k') -plt.grid() -plt.xlim(-80, 80) -plt.ylim(0.9, 3) - -F.save_light(path= plot_path, name = key_name + '_rolled_pahse_weighted_mean') - -# %% - -F = M.figure_axis_xy(5, 4.5, view_scale = 0.5) -# L.T['alpha'].hist(bins = 60) -# F.ax.axvline(alpha_true, linewidth = 0.8, color = 'black') -xlims= [L.index.min()* 0.7, L.index.max()* 1.6] - -ax0 = plt.subplot(2, 1, 1) -plt.plot( L.index, L['alpha'], '.r', markersize = 10 , zorder=12) - -plt.text( np.mean(xlims), angle_true + 0.08, 'True $\\alpha$=' + str(np.round(angle_true, 2))) -ax0.axhline(angle_true, linewidth = 1, color = 'black') - -ax0.axhline(angle_mean, linewidth = 1, color = 'blue') -plt.text( np.mean(xlims)/1.5, angle_mean.data - 0.2, 'mean $\\alpha$=' + str(np.round(angle_mean.data , 2))) - -for ang, aamp in zip(np.arctan2(ll, kk), kk ): - #ax0.axhline(ang, linewidth = 0.8,alpha=0.3, color = 'black') - plt.plot(aamp, ang, '.k', markersize= 9) - -plt.xlim(xlims[0], xlims[1]) -plt.ylim(-np.pi/2, np.pi/2) - -plt.subplot(2, 1, 2) - -plt.plot(k_fft, abs(Z_fft)/abs(Z_fft).mean() , label = 'normalized Power') -plt.plot(k_fft, Z_fft_rm/Z_fft_rm.mean() , label = 'smoothed') -plt.plot(k_list_interp,k_list_interp * 0 + k_list_interp.mean(), '.r', markersize= 10, zorder=12) -#weights2 = 1/ cost_stack_rolled.sel(phase=0, method = 'nearest').min('angle') -(weights/Z_fft_rm.mean()).plot(label = 'weights') -#plt.plot(k_list_gauss,k_list_gauss * 0 +Z_max_list_gauss.mean(), '.r', markersize= 10) -#plt.plot(k_fft_max_list,Z_max_list, '.r', markersize= 10) - -plt.legend() -plt.xlim(xlims[0], xlims[1]) - -F.save_light(path= plot_path, name = key_name + 'single_results') diff --git a/analysis/SB03_swell_phase_fitting_iter_freq.py b/analysis/SB03_swell_phase_fitting_iter_freq.py deleted file mode 100644 index 8fe42b39..00000000 --- a/analysis/SB03_swell_phase_fitting_iter_freq.py +++ /dev/null @@ -1,500 +0,0 @@ - -import os, sys -#execfile(os.environ['PYTHONSTARTUP']) - -""" -This file open a ICEsat2 track applied filters and corections and returns smoothed photon heights on a regular grid in an .nc file. -This is python 3 -""" - -exec(open(os.environ['PYTHONSTARTUP']).read()) -exec(open(STARTUP_2021_IceSAT2).read()) - -#%matplotlib inline - -import ICEsat2_SI_tools.convert_GPS_time as cGPS -import h5py -import ICEsat2_SI_tools.io as io -import ICEsat2_SI_tools.spectral_estimates as spec - -import imp -import copy -import spicke_remover -import datetime -import concurrent.futures as futures -#import s3fs -# %% -track_name, batch_key, test_flag = io.init_from_input(sys.argv) # loads standard experiment -#track_name, batch_key, test_flag = '20190605061807_10380310_004_01', 'SH_batch01', False -#track_name, batch_key, test_flag = '20190601094826_09790312_004_01', 'SH_batch01', False -#track_name, batch_key, test_flag = '20190207111114_06260210_004_01', 'SH_batch02', False -#track_name, batch_key, test_flag = '20190219073735_08070210_004_01', 'SH_batch02', False -track_name, batch_key, test_flag = '20190601093502_09790310_004_01', 'SH_batch02', False - - - -#print(track_name, batch_key, test_flag) -hemis, batch = batch_key.split('_') -#track_name= '20190605061807_10380310_004_01' -ATlevel= 'ATL03' - -save_path = mconfig['paths']['work'] + '/B03_spectra_'+hemis+'/' -save_name = 'B03_'+track_name - -plot_path = mconfig['paths']['plot'] + '/'+hemis+'/'+batch_key+'/' + track_name + '/B_spectra/' -MT.mkdirs_r(plot_path) -MT.mkdirs_r(save_path) -bad_track_path =mconfig['paths']['work'] +'bad_tracks/'+ batch_key+'/' -# %% - -all_beams = mconfig['beams']['all_beams'] -high_beams = mconfig['beams']['high_beams'] -low_beams = mconfig['beams']['low_beams'] -#Gfilt = io.load_pandas_table_dict(track_name + '_B01_regridded', load_path) # rhis is the rar photon data - -load_path = mconfig['paths']['work'] +'/B01_regrid_'+hemis+'/' -Gd = io.load_pandas_table_dict(track_name + '_B01_binned' , load_path) # - -col.colormaps2(21) -# %% - - -T_max = 40 #sec -k_0 = (2 * np.pi/ T_max)**2 / 9.81 -x= np.array(Gd['gt1r']['dist']) -dx = np.diff(x).mean() -xlims = x[0], x[-1] -min_datapoint = 1/k_0/dx - -Lpoints = int(np.round(min_datapoint) * 10) -Lmeters =Lpoints * dx - -def get_stacil_data(stancil, G3, key = 'dist' ): - - mask = (G3[key] >= stancil[0]) & (G3[key] < stancil[2]) - return G3[np.array(mask)] - -def make_slopes(G3, key = 'heights_c_weighted_mean', spreed =10, verbose= False, photon_min =5): - - dd = np.copy(G3['heights_c_weighted_mean']) - dd = np.gradient(dd) - dd, _ = spicke_remover.spicke_remover(dd, spreed=spreed, verbose=verbose) - dd_nans = (np.isnan(dd) ) + (G3['N_photos'] <= photon_min) - - return dd, dd_nans - -stancil_iter = spec.create_chunk_boundaries_unit_lengths(Lmeters, xlims, ov= None , iter_flag=False) - -# %% -sys.path.append(mconfig['paths']['analysis']) -import SB04_2d_wavefield_emulator as WaveEmulator - -# test wave model -k_abs = 2 * np.pi/100 -imp.reload(WaveEmulator) -kk, ll, amps, mesh_shape = WaveEmulator.get_stancils_polar(k_abs,0, size=1, dk= k_abs/10, amp_std=k_abs/20 , plot_flag=False) - - -def wavemodel(XX, YY, ks, ls, amps, group_phase = 0, amp_height= 1): - - import numpy as np - - G = np.vstack([ np.cos(np.outer(XX, ks) + np.outer(YY, ls) ).T , np.sin(np.outer(XX, ks) + np.outer(YY, ls) ).T ] ).T - - #phase1 = np.random.rand(1, amp_list.size) * np.pi*2 - #phase = np.arange(0, amp_list.size) * np.pi/2 - - b = np.hstack([ np.cos(group_phase)*amps, np.sin(group_phase) *amps]).squeeze() * amp_height - z_model = (G @ b) - - return z_model - - -# %% select data -Gd.keys() - -def get_beam(G3, key): - G1 = G3[key] - G1['slopes'], _ = make_slopes(G1) - G1['beam']= key - return G1 - -B1= get_beam(Gd, 'gt1r') -B2= get_beam(Gd, 'gt1l') - -dist_y_mean = np.sqrt( (B1['x']-B2['x'])**2 + (B1['y']-B2['y'])**2 ).mean() -dist_y_mean - -B1['dist_y'] = 0 -B2['dist_y'] = dist_y_mean - -GG0 = pd.concat( [B1, B2] ) -# GG = get_beam(Gd, 'gt3r') -#GG0['slopes'].plot() -#plt.plot( GG0['dist'] , GG0['slopes']) - -#plt.plot( GG0['x']/1e3 , GG0['y']/1e3) -plt.plot( GG0['x']/1e3 , GG0['y']/1e3) - -# %% -stancil = stancil_iter[:, stancil_iter[0,:] > 0.9 *1e6][:, 0] -#stancil = stancil_iter[:, 200] -#stancil_iter.shape -GG = get_stacil_data(stancil, GG0).sort_values(['beam','dist']) -GG = GG.loc[~np.isnan(GG['slopes'])] - -GG['x_prime'] = GG['x'] - GG['x'].min() -GG['y_prime'] = GG['y'] - GG['y'].max() -plt.plot(GG['dist'], GG['slopes'] , '-', markersize = 0.8) -plt.show() -plt.plot(GG['x_prime']/1e3, GG['y_prime']/1e3) -plt.show() - -# plt.axis('equal') - -# %% get peak wavenumber, power and spreed - -def get_fft(G4, beam, dx): - G4 = G4[G4['beam'] == beam] - ys = np.copy(G4['slopes']) - ys[np.isnan(ys)] =0 - k_fft = np.fft.rfftfreq(ys.size, d=dx) * 2* np.pi - return np.fft.rfft(ys), k_fft - -B1_fft, k_fft = get_fft(GG, 'gt1l', dx) -B2_fft, k_fft = get_fft(GG, 'gt1r', dx) - -Z_fft = (B1_fft+ B2_fft)/2 -Z_fft_rm = M.runningmean(abs(Z_fft), 4, tailcopy=True) - -k_fft = k_fft[~np.isnan(Z_fft_rm)] -Z_fft_rm = Z_fft_rm[~np.isnan(Z_fft_rm)] - -Z_max_pos = Z_fft_rm.argmax() -k_fft_max = k_fft[Z_max_pos] -Z_max = Z_fft_rm[Z_max_pos] - -# Z_sort = Z_fft_rm.argsort()[::-1] -# k_fft[Z_sort].shape -# K_fft_sel = k_fft[Z_sort][np.cumsum(Z_fft_rm[Z_sort])/np.sum(Z_fft_rm) <0.2] -# Z_fft_sel = Z_fft_rm[Z_sort][np.cumsum(Z_fft_rm[Z_sort])/np.sum(Z_fft_rm) <0.2] -# -# plt.plot(K_fft_sel, Z_fft_sel, '.') -plt.plot(k_fft, Z_fft_rm ) - -# %% -font_for_pres() -plt.plot(k_fft, abs(Z_fft)[:-1] ) -plt.plot(k_fft, Z_fft_rm ) -treshold = np.nanmean(Z_fft_rm) + np.nanstd(Z_fft_rm) *2 -k_fft_max_list = k_fft[Z_fft_rm > treshold] -Z_max_list = Z_fft_rm[Z_fft_rm > treshold] - -plt.plot(k_fft_max, Z_fft_rm[Z_max_pos], '.', markersize= 20) -plt.plot(k_fft_max_list, Z_max_list, '.', markersize= 20) -2*np.pi/.15 - -#plt.plot(k_fft_max_list,Z_max_list, '.', markersize= 20) - - -def gaus(x, x_0, amp, sigma_g ): - return amp* np.exp(-0.5 * ( (x-x_0)/sigma_g)**2) - -k_sigma =0.02 -plt.plot(k_fft, gaus(k_fft, k_fft_max, Z_max , k_sigma ), 'r', linewidth = 2 ) - - -k_list = np.arange(k_fft_max - 1* k_sigma, k_fft_max + 1* k_sigma+ np.diff(k_fft).mean(), np.diff(k_fft).mean()) -plt.plot(k_list, gaus(k_list, k_fft_max, Z_max , k_sigma ), 'b.', linewidth = 2 ) - -#plt.xlim(0, 0.09) - -# %% - -def get_wavenumbers_polar( amp, angle_rad): - """ - inputs: - - amp length of peak k vector in radial coordinates - angle_rad angle of peak k vector in radians between - pi/2 to + pi/2 - - returns: - wavenumber k,l - """ - import numpy as np - k0 = amp * np.cos(angle_rad) - l0 = amp * np.sin(angle_rad) - - return k0, l0 - -def wavemodel(XX, YY, ks, ls, amps, group_phase = 0): - - import numpy as np - - G = np.vstack([ np.cos(np.outer(XX, ks) + np.outer(YY, ls) ).T , np.sin(np.outer(XX, ks) + np.outer(YY, ls) ).T ] ).T - - #phase1 = np.random.rand(1, amp_list.size) * np.pi*2 - #phase = np.arange(0, amp_list.size) * np.pi/2 - - b = np.hstack([ np.cos(group_phase) * amps , np.sin(group_phase) * amps ]).squeeze() - z_model = (G @ b) - - return z_model - -# %% - -def get_z_model(x_positions, y_position, K_prime, K_amp, alpha_rad, group_phase): - - K_abs = K_prime / np.cos(alpha_rad) - - k = K_abs * np.cos(alpha_rad) - l = K_abs * np.sin(alpha_rad) - - return wavemodel( x_positions,y_position, k, l, np.array(K_amp ), group_phase= group_phase) - - - -def objective_func(pars, x, y, z, test_flag= False ): - - z_model = get_z_model(x, y, pars['K_prime'], pars['K_amp'], pars['alpha'],pars['group_phase']) - cost =( abs(z - z_model) )**2 /z.std()**2 - if test_flag: - return z_model - else: - return cost - - -def plot_instance(GG3, data_key, model_key, non_dim=False , view_scale = 0.3): - - import itertools - F = M.figure_axis_xy(8, 5, view_scale = view_scale) - - beam_list = list(set(GG3['beam'])) - - - col_list = itertools.cycle([col.cascade2, col.rascade2, col.cascade1, col.rascade1, col.cascade3, col.rascade3]) - subz = len(beam_list) - for beam, i in zip(beam_list, np.arange(1, subz+1, 1)): - - plt.subplot(subz, 1, i) - plt.title(beam ) - #plt.plot(GG['x_prime'], GG['z_model'], '.' ) - - GGsel =GG3[GG3['beam'] == beam] - plt.plot(GGsel['dist'], GGsel[model_key], c=col.gray) - - if non_dim: - # normalized version - plt.plot(GGsel['dist'], GGsel['slopes']/GGsel['slopes'].std() , '-', c=next(col_list)) - else: - # diumensional version - plt.plot(GGsel['dist'], GGsel[data_key] , '-', c=next(col_list)) - - return F - - - -#GG = pd.concat( [B1, B2] ) -#GG = pd.concat( [B1, B2] ) - -# stancil = stancil_iter[:, 200] -# GG = get_stacil_data(stancil, GG).sort_values(['beam','dist']) -# GG = GG.loc[~np.isnan(GG['slopes'])] -# np.isnan(GG['slopes']).sum() -#GG['slopes'] = zm -#slopes1 = GG[GG['beam'] == 'gt3r']['slopes'] -#GG['slopes'] = np.concatenate([slopes1, slopes1]) - -# alpha_true = 75 * np.pi/180 # 0.95 * (np.pi/2) -# dy = 60 # meters -# np.tan(alpha_true) -# GG['slopes'] = np.concatenate([slopes1, np.roll(slopes1, int(dy * np.tan(alpha_true) /dx ))]) - -# %% -# normalized version -#amp_Z = abs(Z_max)/np.sqrt(2)/2 - -# dimensional version -N = GG.shape[0] -amp_Z = 2* abs(Z_max)**2 /N - -import lmfit as LM -params0 = LM.Parameters() -params0.add('alpha', 0 , vary=True , min=-0.95 * np.pi /2, max=0.95 * np.pi /2) -params0.add('group_phase', 0 , vary=True , min=0, max= 2*np.pi) - -# test: this should be 0 -np.isnan(GG['slopes']).sum() -fitting_args = (GG['dist'],GG['dist_y'], GG['slopes']) -#fitting_kargs = {'size' :1} -L = pd.DataFrame(index=['alpha', 'group_phase', 'K_prime', 'K_amp'] ) - -for k_prime_max,Z_max in zip(k_list, gaus(k_list, k_fft_max, Z_max , k_sigma )): - #for k_prime_max,Z_max in zip(k_fft_max_list,Z_max_list): - print(k_prime_max) - amp_enhancement = 4 - amp_Z = amp_enhancement * abs(Z_max)**2 /N - - params = params0.copy() - params.add('K_prime', k_prime_max , vary=False , min=k_prime_max*0.5, max=k_prime_max*1.5) - params.add('K_amp', amp_Z , vary=False , min=amp_Z*.5 , max=amp_Z*5) - - fitter = LM.minimize(objective_func, params, args=fitting_args, method='dual_annealing',max_nfev=None) - #fitter = LM.minimize(objective_func, params, args=fitting_args, method='brute', Ns=120, ) - GG['z_model'] = objective_func(fitter.params, GG['dist'],GG['dist_y'], GG['slopes'] , test_flag= True) - plot_instance(GG, 'slopes', 'z_model' ) - print(fitter.params.pretty_print()) - plt.show() - - L[k_prime_max] = fitter.params.valuesdict().values() - -# %% - - - -F = M.figure_axis_xy(5, 4.5, view_scale = 0.5) -# L.T['alpha'].hist(bins = 60) -# F.ax.axvline(alpha_true, linewidth = 0.8, color = 'black') -xlims= [L.T.index.min()* 0.9, L.T.index.max()* 1.1] - -ax0 = plt.subplot(2, 1, 1) -plt.plot( L.T.index, L.T['alpha'], '.r', markersize = 10) -#ax0.axhline(alpha_true, linewidth = 0.8, color = 'black') -plt.xlim(xlims[0], xlims[1]) - -plt.subplot(2, 1, 2) - -plt.plot(k_fft, Z_fft_rm ) -#plt.plot(k_fft_max, Z_fft_rm[Z_max_pos], '.', markersize= 20) -plt.plot(k_fft_max_list,Z_max_list, '.r', markersize= 10) - -plt.xlim(xlims[0], xlims[1]) - -# %% construct spectrum - -L -amp_Z = 2* abs(Z_max)**2 /N - -GG['z_model'] = get_z_model(GG['dist'],GG['dist_y'], L.T['K_prime'], L.T['K_amp']/amp_enhancement, L.T['alpha'],L.T['group_phase']) -plot_instance(GG, 'slopes', 'z_model', view_scale = 0.8) -# %% -params_big = LM.Parameters() -L2 = L.T.sort_values('K_prime') - -N_wavenumbers = L2.shape[0] - -L2['num'] = np.arange(0, L2.shape[0]) - -for p in L2.T.items(): - numi= str(int(p[1]['num'])) - ki = p[1]['K_prime'] - params_big.add('K_prime_' + numi , ki , vary=False , min=ki*0.5 , max=ki*1.5) - -for p in L2.T.items(): - numi= str(int(p[1]['num'])) - ampi = p[1]['K_amp']/amp_enhancement - params_big.add('K_amp_' + numi , ampi , vary=False , min=ampi*.5 , max=ampi*5) - -for p in L2.T.items(): - numi= str(int(p[1]['num'])) - grpi = p[1]['group_phase'] - params_big.add('group_phase_' + numi , grpi , vary=False , min=0 , max= 2*np.pi) - -for p in L2.T.items(): - numi= str(int(p[1]['num'])) - grpi = p[1]['alpha'] - params_big.add('alpha_' + numi , grpi , vary=False , min=-0.95 * np.pi /2, max=0.95 * np.pi /2) - -# def get_max_angle(a): -# hist = np.histogram(a, np.linspace(- np.pi/2, np.pi/2 , int(np.round(a.size/2)) ) ) -# return hist[1][hist[0].argmax()] -# -# -params_big.add('angle_shift', 0 , vary=False )#, min=-0.95 * np.pi /2, max=0.95 * np.pi /2) - -# %% -#params_big - -def objective_func_big(params_big, x, y, z, test_flag= False ): - - pardict_val = np.array(list(params_big.valuesdict().values())) - K_prime_array = pardict_val[0:N_wavenumbers] - K_amp_array = pardict_val[N_wavenumbers:N_wavenumbers*2] - group_phase_array = pardict_val[N_wavenumbers*2:N_wavenumbers*3] - #alpha = pardict_val[-1] - alpha = pardict_val[N_wavenumbers*3:N_wavenumbers*4] + pardict_val[-1] - - #print(pardict_val[-1]) - #print(alpha) - z_model = get_z_model(GG['dist'],GG['dist_y'], K_prime_array, K_amp_array, alpha, group_phase_array) - cost = ( abs(z - z_model) )**2 /z.std()**2 - #alpha_cost = (alpha - alpha.mean())**2 / (2* np.pi/180)**2 - if test_flag: - return z_model - else: - return cost - -def turn_vary_key_on(pard, key): - - for pi in pard.keys(): - if key in pi: - pard[pi].vary = True - else: - pard[pi].vary = False - return pard - - -GG['z_model'] = objective_func_big(params_big, GG['dist'], GG['dist_y'], GG['slopes'], test_flag= True) -plot_instance(GG, 'slopes', 'z_model', view_scale = 0.6) - -# %% -#help(LM.minimize) -# params_big = turn_vary_key_on(params_big, 'group_phase') -# fitter = LM.minimize(objective_func_big, params_big, args=fitting_args, method='ampgo',max_nfev=10000) -#fitter - -params2 = turn_vary_key_on(params_big, 'K_prime') -fitter = LM.minimize(objective_func_big, params2, args=fitting_args, method='least_squares',max_nfev=10000) - -params2 = turn_vary_key_on(fitter.params, 'K_amp') -fitter = LM.minimize(objective_func_big, params2, args=fitting_args, method='least_squares',max_nfev=10000) - -#print('angle_shift') -# params2 = turn_vary_key_on(fitter.params, 'angle_shift') -# fitter = LM.minimize(objective_func_big, params2, args=fitting_args, method='least_squares',max_nfev=10000) -#fitter = LM.minimize(objective_func_big, fitter.params, args=fitting_args, method='emcee') - -# %% -GG['z_model'] = objective_func_big(fitter.params, GG['dist'],GG['dist_y'], GG['slopes'], test_flag= True) -plot_instance(GG, 'slopes', 'z_model', view_scale = 0.6) - -# %% -z_mdoel_init = objective_func_big(params_big, GG['dist'],GG['dist_y'], GG['slopes'], test_flag= True) -objective_func_big(params_big, GG['dist'],GG['dist_y'], GG['slopes'], test_flag= False).sum() -z_mdoel_fit = objective_func_big(fitter.params, GG['dist'],GG['dist_y'], GG['slopes'], test_flag= True) -objective_func_big(fitter.params, GG['dist'],GG['dist_y'], GG['slopes'], test_flag= False).sum() -plt.plot(z_mdoel_init) -plt.plot(z_mdoel_fit) - - -# %% -#fitter.params.valuesdict() - -def params_to_Dataframe(pard): - - pardict_val = np.array(list(pard.valuesdict().values())) - - pardict = dict() - pardict['K_prime_array'] = pardict_val[0:N_wavenumbers] - pardict['K_amp_array'] = pardict_val[N_wavenumbers:N_wavenumbers*2] - pardict['group_phase_array'] = pardict_val[N_wavenumbers*2:N_wavenumbers*3] - pardict['alpha'] = pardict_val[N_wavenumbers*3:N_wavenumbers*4] - - return pd.DataFrame.from_dict(pardict) - -Fits = params_to_Dataframe(fitter.params) -plt.plot( k_fft_max_list, abs( (Fits['alpha']) ), '.' ) - -Fits['alpha'] - -plt.hist(fitter.flatchain, 30) diff --git a/analysis/SB03_swell_phase_fitting_iter_with_prior.py b/analysis/SB03_swell_phase_fitting_iter_with_prior.py deleted file mode 100644 index a781c331..00000000 --- a/analysis/SB03_swell_phase_fitting_iter_with_prior.py +++ /dev/null @@ -1,780 +0,0 @@ - -import os, sys -#execfile(os.environ['PYTHONSTARTUP']) - -""" -This file open a ICEsat2 track applied filters and corections and returns smoothed photon heights on a regular grid in an .nc file. -This is python 3 -""" - -exec(open(os.environ['PYTHONSTARTUP']).read()) -exec(open(STARTUP_2021_IceSAT2).read()) - -#%matplotlib inline - -import ICEsat2_SI_tools.convert_GPS_time as cGPS -import h5py -import ICEsat2_SI_tools.io as io -import ICEsat2_SI_tools.spectral_estimates as spec - -import imp -import copy -import spicke_remover -import datetime -import concurrent.futures as futures - -col.colormaps2(21) - -#import s3fs -# %% -track_name, batch_key, test_flag = io.init_from_input(sys.argv) # loads standard experiment -#track_name, batch_key, test_flag = '20190605061807_10380310_004_01', 'SH_batch01', False -#track_name, batch_key, test_flag = '20190601094826_09790312_004_01', 'SH_batch01', False -#track_name, batch_key, test_flag = '20190207111114_06260210_004_01', 'SH_batch02', False -#track_name, batch_key, test_flag = '20190219073735_08070210_004_01', 'SH_batch02', False -#track_name, batch_key, test_flag = '20190601093502_09790310_004_01', 'SH_batch02', False -track_name, batch_key, test_flag = '20190502021224_05160312_004_01', 'SH_batch02', False - - -#print(track_name, batch_key, test_flag) -hemis, batch = batch_key.split('_') -#track_name= '20190605061807_10380310_004_01' -ATlevel= 'ATL03' - -save_path = mconfig['paths']['work'] + '/B03_spectra_'+hemis+'/' -save_name = 'B03_'+track_name - -plot_path = mconfig['paths']['plot'] + '/'+hemis+'/'+batch_key+'/' + track_name + '/B_spectra/' -MT.mkdirs_r(plot_path) -MT.mkdirs_r(save_path) -bad_track_path =mconfig['paths']['work'] +'bad_tracks/'+ batch_key+'/' -# %% - -all_beams = mconfig['beams']['all_beams'] -high_beams = mconfig['beams']['high_beams'] -low_beams = mconfig['beams']['low_beams'] -beam_groups = mconfig['beams']['groups'] - -#Gfilt = io.load_pandas_table_dict(track_name + '_B01_regridded', load_path) # rhis is the rar photon data - -load_path = mconfig['paths']['work'] +'/B01_regrid_'+hemis+'/' -G_binned = io.load_pandas_table_dict(track_name + '_B01_binned' , load_path) # - -load_path = mconfig['paths']['work'] +'/B02_spectra_'+hemis+'/' -Gx = xr.load_dataset(load_path+ '/B02_'+track_name + '_gFT_x.nc' ) # - -Gk = xr.load_dataset(load_path+ '/B02_'+track_name + '_gFT_k.nc' ) # - - -# %% load prior information -load_path = mconfig['paths']['work'] +'/A02_prior_'+hemis+'/' -#track_name = '20190208104534_06410210_004_01' -Prior = MT.load_pandas_table_dict('/A02b_'+track_name, load_path)['priors_hindcast'] - -# -# import numpy as np -# -# G = np.vstack([ np.cos(np.outer(XX, ks) + np.outer(YY, ls) ).T , np.sin(np.outer(XX, ks) + np.outer(YY, ls) ).T ] ).T -# -# #phase1 = np.random.rand(1, amp_list.size) * np.pi*2 -# #phase = np.arange(0, amp_list.size) * np.pi/2 -# -# b = np.hstack([ np.cos(group_phase)*amps, np.sin(group_phase) *amps]).squeeze() * amp_height -# z_model = (G @ b) -# -# return z_model - - -# %% select data -for b in Gx.beam: - B = Gx.sel(beam= b) - plt.plot(B['x_coord'], B['y_coord'], '.') - -plt.grid() -# %% - -# for group in beam_groups: -# B1 = Gd.sel(beam = group[0]) -# B2 = Gd.sel(beam = group[1]) -# -# dist = np.sqrt( (B1['x_coord']-B2['x_coord'])**2 + (B1['y_coord']-B2['y_coord'])**2 ) -# print(group, dist.data) - -# B1.coords['dist_y'] = 0 -# B2.coords['dist_y'] = dist - -# isolate case -xi = 2 -group = beam_groups[0] -GGx = Gx.sel(beam= group).isel(x = 2) -GGk = Gk.sel(beam= group).isel(x = 2) - -# %% -GGk.gFT_PSD_model.mean('beam').plot() - -# %% -data_plot_karg = {'linewidth':2, 'color':'k', 'alpha' :0.5} -model_plot_karg = {'linewidth':1, 'color':'r', 'alpha' :1} - -G_x = GGx.isel(beam = 0) -y_offset= 0.5 -plt.plot(G_x.eta,G_x.y_model , **model_plot_karg) -plt.plot(G_x.eta,G_x.y_data, **data_plot_karg) - -plt.xlim(-500, 1000) - -# %% - -# dd = GGk['gFT_PSD_data'] -# m = 3 -# variance_frac = 0.5 - -def define_wavenumber_weights_tot_var(dd, m = 3, variance_frac = 0.33, verbose=False): - - """ - return peaks of a power spectrum dd that in the format such that they can be used as weights for the frequencies based fitting - - inputs: - dd xarray with PSD as data amd coordindate wavenumber k - m running mean half-width in gridpoints - variance_frac (0 to 1) How much variance should be explained by the returned peaks - verbose if true it plots some stuff - - - return: - mask size of dd. where True the data is identified as having significant amplitude - k wanumbers where mask is true - dd_rm smoothed version of dd - positions postions where of significant data in array - """ - dd_rm = M.runningmean(dd, m, tailcopy=True) - k = dd.k[~np.isnan(dd_rm)].data - dd_rm = dd_rm[~np.isnan(dd_rm)] - - orders = dd_rm.argsort()[::-1] - var_mask = dd_rm[orders].cumsum()/dd_rm.sum() < variance_frac - - - pos_cumsum = orders[var_mask] - k_list = k[pos_cumsum] - dd_list = dd_rm[pos_cumsum] - - if verbose: - plt.plot(dd.k, dd, '-k', markersize= 20) - plt.plot(k, dd_rm, '-b', markersize= 20) - - #print(k_list, dd_list) - plt.plot(k_list, dd_list, '.r', markersize= 10, zorder=12) - - return var_mask[orders.argsort()], k, dd_rm, pos_cumsum - - -def define_wavenumber_weights_threshold(dd, m = 3, Nstd= 2, verbose=False): - - dd_rm = M.runningmean(dd, m, tailcopy=True) - k = dd.k[~np.isnan(dd_rm)] - dd_rm = dd_rm[~np.isnan(dd_rm)] - - treshold = np.nanmean(dd_rm) + np.nanstd(dd_rm) *Nstd - mask = dd_rm > treshold - - - if verbose: - plt.plot(dd.k, dd, '-k', markersize= 20) - plt.plot(k, dd_rm, '-b', markersize= 20) - - k_list = k[mask] - dd_list = dd_rm[mask] - #print(k_list, dd_list) - plt.plot(k_list, dd_list, '.r', markersize= 10, zorder=12) - - return mask, k, dd_rm, np.arange(0, mask.size)[mask] - -#mask, k, weights, positions = define_wavenumber_weights_threshold( Gi.mean('dist_y')['gFT_PSD_data'], 3 , verbose= True) -#plt.plot(k[mask], weights[mask], 'g*', markersize=20) -# plt.show() - -mask, k, weights, positions = define_wavenumber_weights_tot_var( GGk.mean('beam')['gFT_PSD_data'], m= 3, variance_frac = 0.33 , verbose= True) -#plt.xlim(k_list.min()*.9, k_list.max()*1.1) - -# group wavenumbers -import scipy.ndimage -k_group_mask =scipy.ndimage.measurements.label(mask ) - - - -# %% - -def get_wavenumbers_polar( amp, angle_rad): - """ - inputs: - - amp length of peak k vector in radial coordinates - angle_rad angle of peak k vector in radians between - pi/2 to + pi/2 - - returns: - wavenumber k,l - """ - import numpy as np - k0 = amp * np.cos(angle_rad) - l0 = amp * np.sin(angle_rad) - - return k0, l0 - -def wavemodel(XX, YY, ks, ls, amps, group_phase = 0): - - import numpy as np - - G = np.vstack([ np.cos(np.outer(XX, ks) + np.outer(YY, ls) ).T , np.sin(np.outer(XX, ks) + np.outer(YY, ls) ).T ] ).T - - #phase1 = np.random.rand(1, amp_list.size) * np.pi*2 - #phase = np.arange(0, amp_list.size) * np.pi/2 - - b = np.hstack([ np.cos(group_phase) * amps , np.sin(group_phase) * amps ]).squeeze() - z_model = (G @ b) - - return z_model - - -def get_z_model(x_positions, y_position, K_prime, K_amp, alpha_rad, group_phase): - - K_abs = K_prime / np.cos(alpha_rad) - - k = K_abs * np.cos(alpha_rad) - l = K_abs * np.sin(alpha_rad) - - return wavemodel( x_positions,y_position, k, l, np.array(K_amp ), group_phase= group_phase) - - - - -def plot_instance(z_model, fargs , key, non_dim=False, title_str= None ,fitter=None, view_scale = 0.3): - - x_concat, y_concat, z_concat = fargs - - - F = M.figure_axis_xy(5,6, view_scale = view_scale, container = True) - plt.suptitle(title_str) - gs = GridSpec(4, 2, wspace=0.3, hspace=1.2)#figure=fig, - # y_offset= 0.5 - # plt.plot(Gm.eta, Gm.y_model_normed+y_offset * Gm.dist_y/np.diff(Gm.dist_y), **model_plot_karg) - # plt.plot(Gm.eta, Gm.y_model_normed+y_offset * Gm.dist_y/np.diff(Gm.dist_y), **data_plot_karg) - # plt.xlim(-1000, 1000) - - - import itertools - col_list = itertools.cycle([col.cascade2, col.rascade2, col.cascade1, col.rascade1, col.cascade3, col.rascade3]) - - beam_list = list(set(y_concat)) - for y_pos, pos in zip(beam_list, [ gs[0, :] , gs[1, :] ] ): - - F.ax2 = F.fig.add_subplot(pos) - - plt.title( str(y_pos) ) - #plt.plot(GG['x_prime'], GG['z_model'], '.' ) - - - plt.plot(x_concat[y_concat == y_pos], z_concat[y_concat == y_pos] , c=col.gray, linewidth = 1) - plt.plot(x_concat[y_concat == y_pos], z_model[y_concat == y_pos] , '-', c=next(col_list)) - plt.xlim(x_concat[y_concat == y_pos][0], x_concat[y_concat == y_pos][-1]) - - - plt.xlabel('meter') - F.ax3 = F.fig.add_subplot(gs[2:, :]) - if fitter is not None: - plt.title('Brute-force costs', loc='left') - plot_brute_force(fitter) - - return F - - -def plot_brute_force(fitter_brute): - - clevel = np.linspace(-2.2, 2.2, 30) - dd = (fitter_brute.brute_Jout- fitter_brute.brute_Jout.mean())/fitter_brute.brute_Jout.std() - plt.contourf(fitter_brute.brute_grid[1,:,:], fitter_brute.brute_grid[0,:,:], dd , clevel, cmap= plt.cm.YlGnBu_r ) - - plt.colorbar() - #plt.scatter(fitter_brute.brute_grid[1,:,:], fitter_brute.brute_grid[0,:,:], s=0.2, alpha= 0.4, color='black') - plt.plot(fitter_brute.brute_x0[1], fitter_brute.brute_x0[0], '+r', markersize=20, label= 'Brute force') - - plt.xlabel('Phase (rad)') - plt.ylabel('Angle (rad)') - - plt.legend() - - - -# %% normalize data -key = 'y_data' -amp_Z = G_x[key +'_normed']= (GGx[key] - GGx[key].mean(['eta']) )/GGx[key].std(['eta']) -N = G_x[key +'_normed'].shape[0] - -eta_2d = GGx.eta + GGx.x_coord - GGx.x_coord.mean() -nu_2d = GGx.eta * 0 + GGx.y_coord - GGx.y_coord.mean() - -amp_Z.shape - -# repack as np arrays -x_concat = eta_2d.data.T.flatten() -y_concat = nu_2d.data.T.flatten() -z_concat = amp_Z.data.flatten() - -# repack as np arrays -# x_concat = np.concatenate([amp_Z.eta, amp_Z.eta]) -# y_concat = np.concatenate([amp_Z.isel(dist_y= 0).dist_y+ amp_Z.eta*0 , amp_Z.isel(dist_y= 1).dist_y+ amp_Z.eta*0 ] ) -# z_concat = np.concatenate([amp_Z.isel(dist_y= 0).data, amp_Z.isel(dist_y= 1).data]) - -# test -#plt.plot(x_concat, 1*y_concat +z_concat) -# plt.plot(G_x_model.eta, G_x_model.y_data/G_x_model.y_data.std() +y_offset * G_x_model.dist_y/np.diff(G_x_model.dist_y), **data_plot_karg) -# plt.xlim(-1000, 1000) - -# y_offset = 0.2 -# plt.plot(G_x_model.eta,G_x_model.y_model+y_offset *G_x_model.dist_y/np.diff(G_x_model.dist_y), **model_plot_karg) -# plt.plot(G_x_model.eta,G_x_model.y_data+y_offset * G_x_model.dist_y/np.diff(G_x_model.dist_y), **data_plot_karg) -# plt.xlim(-1000, 1000) -# test: this should be 0 -x_concat= x_concat[~np.isnan(z_concat)] -y_concat= y_concat[~np.isnan(z_concat)] -z_concat= z_concat[~np.isnan(z_concat)] - -if np.isnan(z_concat).sum() != 0: - raise ValueError('There are still nans') - -# %% - - -def objective_func(pars, x, y, z, test_flag= False , prior= None ): - - z_model = get_z_model(x, y, pars['K_prime'], pars['K_amp'], pars['alpha'],pars['group_phase']) - if prior is not None: - a_0, a_std = prior['alpha'] - penalties = np.array([ (abs(a_0 - pars['alpha'] )**2 / a_std) ]) - else: - penalties = np.array([0]) - - cost =( abs(z - z_model) )**2 /z.std()**2 - if test_flag: - return z_model - else: - return np.concatenate([cost , 2 * penalties]) - - -import lmfit as LM -params0 = LM.Parameters() - -d_alpha, d_phase= np.pi/90, 2 *np.pi/90 -alpha_grid = np.arange(-0.9 * np.pi /2, 0.9 * np.pi /2+ d_alpha, d_alpha) -phase_grid = np.arange(0 , 2*np.pi+d_phase, d_phase) - -params0.add('alpha', 0 , vary=True , min=alpha_grid[0], max=alpha_grid[-1], brute_step= d_alpha) -params0.add('group_phase', 0 , vary=True , min=phase_grid[0], max= phase_grid[-1]+d_phase, brute_step= d_phase) - -fitting_args = (x_concat, y_concat, z_concat) - - -Prior2 = Prior.loc[['ptp0','ptp1','ptp2','ptp3','ptp4','ptp5']]['mean'] -# dominat_period = Prior2[Prior2.max() ==Prior2] -# dominant_dir = Prior.loc[list(dominat_period.index)[0].replace('ptp', 'pdp' )]['mean'] -# dominant_dir_spread = Prior.loc[list(dominat_period.index)[0].replace('ptp', 'pspr' )]['mean'] -# -# prior_sel= {'alpha': ( dominant_dir *np.pi/180 , dominant_dir_spread *np.pi/180) } # to radiens -# -import ICEsat2_SI_tools.wave_tools as waves - - -dominat_period = Prior2[Prior2.max() ==Prior2] -aa = Prior.loc[['pdp0','pdp1','pdp2','pdp3','pdp4','pdp5']]['mean'].astype('float') -dominant_dir = waves.get_ave_amp_angle(aa *0+1,aa )[1] -dominant_dir_spread = Prior.loc[['pspr0','pspr1','pspr2','pspr3','pspr4','pspr5']]['mean'].median() - -#prior_sel= {'alpha': ( dominant_dir *np.pi/180 , dominant_dir_spread *np.pi/180) } # to radiens -prior_sel= {'alpha': ( 1 , dominant_dir_spread *np.pi/180) } # to radiens - -#prior_sel= {'alpha': ( Prior.loc['dp']['mean'] *np.pi/180 , Prior.loc['spr']['mean'] *np.pi/180) } - -#fitting_kargs = {'prior': None} -fitting_kargs = {'prior': prior_sel } -angle_list = list() -cost_list = list() -cost_stack = dict() -#fitting_kargs = {'size' :1} -L = pd.DataFrame(index=['alpha', 'group_phase', 'K_prime', 'K_amp'] ) - - -k_list, weight_list = k[mask], weights[mask] - - -N_grid = 30 -N_data = x_concat.size - -#k_prime_max, Z_max = k_list[0], weight_list[0] -#k_list[:4] -for k_prime_max,Z_max in zip(k_list[::4], weight_list[::4]): - - print('#-------------------------------------------------------------#') - print(k_prime_max) - amp_enhancement = 1 - amp_Z = 0.5 #amp_enhancement * abs(Z_max)**2 /N - - params = params0.copy() - params.add('K_prime', k_prime_max , vary=False , min=k_prime_max*0.5, max=k_prime_max*1.5) - params.add('K_amp', amp_Z , vary=False , min=amp_Z*.0 , max=amp_Z*5) - - #fitter = LM.minimize(objective_func, params, args=fitting_args, method='dual_annealing',max_nfev=None) - fitter_brute = LM.minimize(objective_func, params, \ - args=fitting_args, kws=fitting_kargs , method='brute', workers=3 ) - print(LM.report_fit(fitter_brute)) - - params['K_amp'].vary = False - fitter = LM.minimize(objective_func, params, \ - args=fitting_args, kws=fitting_kargs , method='dual_annealing',max_nfev=None) - - print(LM.report_fit(fitter)) - - z_model = objective_func(fitter.params, *fitting_args , test_flag= True) - angle_list.append(fitter.params['alpha'].value) - cost_list.append( (fitter.residual**2).sum()/(z_concat**2).sum() ) - # add prior: - #fitting_kargs = {'prior': None} - #fitter=None, F = plot_instance(GG, 'slopes', 'z_model', fitter = fitter_brute, view_scale = 0.5, non_dim=True ) - F = plot_instance(z_model, fitting_args, 'y_data_normed' , fitter = fitter_brute ,title_str = str(k_prime_max), view_scale = 0.6) - F.ax3.axhline(prior_sel['alpha'][0], color='k', linewidth = 1.5) - #F.ax3.axhspan(prior_sel['alpha'][0]- prior_sel['alpha'][1], prior_sel['alpha'][0]+ prior_sel['alpha'][1], color='gray', alpha=0.3) - F.ax3.axhline(prior_sel['alpha'][0]- prior_sel['alpha'][1], color='k', linewidth = 0.7) - F.ax3.axhline(prior_sel['alpha'][0]+ prior_sel['alpha'][1], color='k', linewidth = 0.7) - plt.plot(fitter.params['group_phase'].value, fitter.params['alpha'].value, '.r', markersize=20) - - print(fitting_kargs) - print(fitter.params.pretty_print()) - plt.show() - - #cost_stack[k_prime_max] = xr.DataArray( fitter_brute.brute_Jout/N_data, dims= ('angle', 'phase'), coords = {'angle':np.linspace(-np.pi/2, np.pi/2, N_grid), 'phase':np.linspace(0, 2* np.pi, N_grid) } ) - cost_stack[k_prime_max] = xr.DataArray( fitter_brute.brute_Jout/N_data, dims= ('angle', 'phase'), coords = {'angle':alpha_grid, 'phase':phase_grid } ) - - cost_stack[k_prime_max].coords['k'] = np.array(k_prime_max) #( ('k'), np.array(k_prime_max) ) - - - L[k_prime_max] = fitter.params.valuesdict().values() - - #F.save_light(path= plot_path, name = key_name + '_fit_k' + str(k_prime_max)) - -cost_stack = xr.concat(cost_stack.values(), dim='k' ).sortby('k') -L = L.T.sort_values('K_prime') - - -# %% - -cost_stack2 = cost_stack #/ cost_stack.mean('angle').mean('phase').mean() -cost_stack_rolled = xr.DataArray(coords = cost_stack.coords) - -shift_list = list() - -for kindex in L.index: - #.sel( phase= L[i]['group_phase'], method ='nearest').plot() - ii = abs(cost_stack.k - kindex).argmin().data - - shift = int( -abs(cost_stack.phase - L['group_phase'][kindex]).argmin().data + cost_stack.phase.size/2 ) - #shift = int(- abs(cost_stack.phase - L['group_phase'][kindex]).argmin().data ) - shift_list.append(shift) - cost_stack_rolled[ii, :,:]= cost_stack.sel(k= kindex).roll(phase = shift, roll_coords='phase').data - - # M.figure_axis_xy(7, 3, view_scale= 0.5) - # plt.subplot(1, 2,1) - # cost_stack.sel(k= kindex).plot(cmap =plt.cm.Blues_r) - # plt.plot(L.T[kindex]['group_phase'], L.T[kindex]['alpha'], '.r', markersize=20) - # - # plt.subplot(1, 2,2) - # cost_stack_rolled[ii, :,:].plot(cmap =plt.cm.Blues_r) - # plt.show() - -cost_stack_rolled['phase'] = cost_stack_rolled['phase'] - np.pi - -# %% -#weights = xr.DataArray(Z_max_list_gauss, dims ='k', coords = {'k': k_list_gauss}) -weights_costs = xr.DataArray(weight_list, dims ='k', coords = {'k': k_list}) -weights_costs = weights_costs/weights_costs.max() -weights_costs = weights_costs.sel(k= cost_stack_rolled.k) - -weight_k = (1/weights_costs.k) -weight_k = weight_k/weight_k.max() - -weights_sum= weights_costs * weight_k.data**2 -plt.plot(weights_sum) - - -data_normed = cost_stack_rolled#/cost_stack_rolled.std(['angle', 'phase']) -cost_wmean = (weights_sum * data_normed /weights_sum.sum() ).interp(phase= 0)#.sum('k') - -#cost_wmean = data_normed.sel(phase = 0 , method='nearest') -#plt.plot( cost_wmean.T ) - -best_guess = cost_wmean.angle[cost_wmean.mean('k').argmin()].data - -best_guess * 180/ np.pi - - - -# %% 2nd step optimization -F = M.figure_axis_xy(5, 3, view_scale= 0.7, container = True) - -gs = GridSpec(1,5, wspace=0.25, hspace=.2)#figure=fig, - -ax0 = F.fig.add_subplot(gs[0, -1]) -ax0.tick_params(labelleft=False) - - -klims = k_list.min()*0.8 , k_list.max()*1.2 - -col_dict = col.rels -for g in group: - plt.plot( GGk.sel(beam=g)['gFT_PSD_data'].data,GGk.k, '-k', color= col_dict[g], markersize= 20, linewidth = 0.8) - -plt.plot(weights, k, '-b', linewidth=0.9) -plt.plot(weight_list, k_list, '.r', markersize= 5, zorder=12) - -plt.ylim(klims) - -ax1 = F.fig.add_subplot(gs[0 , 0:-1]) - -plt.scatter( np.array(angle_list)* 180 /np.pi, np.array(k_list), s= (np.array(weight_list)*4e1)**3 , c=col.rascade1, label ='min per freq.') - -cost_dd = cost_wmean.mean('k') -plt.plot(cost_wmean.angle * 180 /np.pi, k_list.mean() * cost_dd/cost_dd.mean() , c=col.rascade3, label ='weighted mean BF') - -lflag= 'paritions ww3' -for i in np.arange(6): - i_dir, i_period = Prior.loc['pdp'+ str(i)]['mean'], Prior.loc['ptp'+ str(i)]['mean'] - i_k = (2 * np.pi/ i_period)**2 / 9.81 - i_dir = [i_dir -360 if i_dir > 180 else i_dir][0] - i_dir = [i_dir +360 if i_dir < -180 else i_dir][0] - - plt.plot(i_dir, i_k, '.', markersize = 10, color= col.green, label= lflag) - lflag = None - -ax1.axvline( best_guess * 180/ np.pi , color=col.blue, linewidth = 1.5, label ='best guess fitting') - -ax1.axvline( (prior_sel['alpha'][0]) * 180 /np.pi, color='k', linewidth = 1.5, label ='prior') -ax1.axvline( (prior_sel['alpha'][0]- prior_sel['alpha'][1]) * 180 /np.pi, color='k', linewidth = 0.7, label ='prior uncertrainty') -ax1.axvline( (prior_sel['alpha'][0]+ prior_sel['alpha'][1]) * 180 /np.pi , color='k', linewidth = 0.7) - - -plt.legend() -plt.xlabel('Angle (deg)') -plt.ylabel('wavenumber (deg)') -plt.xlim(- 125, 125) -plt.ylim(klims) - - -# _%%%%%%%%%%%%%%%%%%%%%%%%%% upto here - # %% -#plt.plot( k_list, cost_list, '.') - -## %% cross correlation - -# A1 = GG[GG['y_prime'] == 0] -# A2 = GG[GG['y_prime'] == 300] - -# def autocrosscorr_func_1d(dd1, dd2): -# "takes data s as xarray" -# -# #print(dim) -# xp1=(dd1-dd1.mean()) -# xp2=(dd2-dd2.mean()) -# var=xp2.var() -# corr=np.correlate(xp1,xp2,'full')[len(xp1)-1:]/var/len(xp1) -# return corr -# -# ymean = abs(A1['y_prime'].mean() - A2['y_prime'].mean()) -# angle_rad = np.concatenate([ -np.arctan2(A2['x_prime'], ymean)[::-1], np.arctan2(A2['x_prime'], ymean) ]) -# cross_corr = np.concatenate([autocrosscorr_func_1d(A1['slopes'][::-1], A2['slopes'][::-1])[::-1], autocrosscorr_func_1d(A1['slopes'], A2['slopes']) ]) - -#plt.plot( angle_rad, cross_corr ) - - -# %% - -F = M.figure_axis_xy(6, 6.5, view_scale= 0.5) -ax = plt.subplot(3, 1, 1) -plt.title( 'Normalized weighted mean cost at maximum phase', loc='left') -dn_unweighted = data_normed.mean('k') - -plt.plot(data_normed.angle* 180/np.pi, M.normalize(dn_unweighted.sel(phase=0, method = 'nearest') ) , label='mean') -plt.plot(cost_wmean.angle* 180/np.pi , M.normalize(cost_wmean.sel(phase=0, method = 'nearest') ) , label='weighted mean' ) - -def get_min_values(field2d, x, y): - min_pos = np.unravel_index(field2d.argmin(), field2d.shape) - return x[min_pos[0]] , y[min_pos[1]] - -angle_mean, phase_mean = get_min_values(cost_wmean,cost_wmean.angle, cost_wmean.phase ) - -phase_mean, angle_mean -angle_mean.data * 180 /np.pi - -#ax.axvline(angle_true* 180 /np.pi, linewidth = 1, color = 'black', label ='True') - -ax.axvline( (prior_sel['alpha'][0]) * 180 /np.pi, color='k', linewidth = 1.5) -ax.axvline( (prior_sel['alpha'][0]- prior_sel['alpha'][1]) * 180 /np.pi, color='k', linewidth = 0.7) -ax.axvline( (prior_sel['alpha'][0]+ prior_sel['alpha'][1]) * 180 /np.pi , color='k', linewidth = 0.7) - -plt.legend() -plt.xlabel('Angle (deg)') -plt.ylabel('normalized cost') -plt.xlim(-80, 80) - -# %% - - - - - - - -F = M.figure_axis_xy(5, 4.5, view_scale = 0.5) -# L.T['alpha'].hist(bins = 60) -# F.ax.axvline(alpha_true, linewidth = 0.8, color = 'black') -xlims= [L.T.index.min()* 0.9, L.T.index.max()* 1.1] - -ax0 = plt.subplot(2, 1, 1) -plt.plot( L.T.index, L.T['alpha'], '.r', markersize = 10) -#ax0.axhline(alpha_true, linewidth = 0.8, color = 'black') -plt.xlim(xlims[0], xlims[1]) - -plt.subplot(2, 1, 2) - -plt.plot(k_fft, Z_fft_rm ) -#plt.plot(k_fft_max, Z_fft_rm[Z_max_pos], '.', markersize= 20) -plt.plot(k_fft_max_list,Z_max_list, '.r', markersize= 10) - -plt.xlim(xlims[0], xlims[1]) - -# %% construct spectrum - -L -amp_Z = 2* abs(Z_max)**2 /N - -GG['z_model'] = get_z_model(GG['dist'],GG['dist_y'], L.T['K_prime'], L.T['K_amp']/amp_enhancement, L.T['alpha'],L.T['group_phase']) -plot_instance(GG, 'slopes', 'z_model', view_scale = 0.8) - -# %% -params_big = LM.Parameters() -L2 = L.T.sort_values('K_prime') - -N_wavenumbers = L2.shape[0] - -L2['num'] = np.arange(0, L2.shape[0]) - -for p in L2.T.items(): - numi= str(int(p[1]['num'])) - ki = p[1]['K_prime'] - params_big.add('K_prime_' + numi , ki , vary=False , min=ki*0.5 , max=ki*1.5) - -for p in L2.T.items(): - numi= str(int(p[1]['num'])) - ampi = p[1]['K_amp']/amp_enhancement - params_big.add('K_amp_' + numi , ampi , vary=False , min=ampi*.5 , max=ampi*5) - -for p in L2.T.items(): - numi= str(int(p[1]['num'])) - grpi = p[1]['group_phase'] - params_big.add('group_phase_' + numi , grpi , vary=False , min=0 , max= 2*np.pi) - -for p in L2.T.items(): - numi= str(int(p[1]['num'])) - grpi = p[1]['alpha'] - params_big.add('alpha_' + numi , grpi , vary=False , min=-0.95 * np.pi /2, max=0.95 * np.pi /2) - -# def get_max_angle(a): -# hist = np.histogram(a, np.linspace(- np.pi/2, np.pi/2 , int(np.round(a.size/2)) ) ) -# return hist[1][hist[0].argmax()] -# -# -params_big.add('angle_shift', 0 , vary=False )#, min=-0.95 * np.pi /2, max=0.95 * np.pi /2) - -# %% -#params_big - -def objective_func_big(params_big, x, y, z, test_flag= False ): - - pardict_val = np.array(list(params_big.valuesdict().values())) - K_prime_array = pardict_val[0:N_wavenumbers] - K_amp_array = pardict_val[N_wavenumbers:N_wavenumbers*2] - group_phase_array = pardict_val[N_wavenumbers*2:N_wavenumbers*3] - #alpha = pardict_val[-1] - alpha = pardict_val[N_wavenumbers*3:N_wavenumbers*4] + pardict_val[-1] - - #print(pardict_val[-1]) - #print(alpha) - z_model = get_z_model(GG['dist'],GG['dist_y'], K_prime_array, K_amp_array, alpha, group_phase_array) - cost = ( abs(z - z_model) )**2 /z.std()**2 - #alpha_cost = (alpha - alpha.mean())**2 / (2* np.pi/180)**2 - if test_flag: - return z_model - else: - return cost - -def turn_vary_key_on(pard, key): - - for pi in pard.keys(): - if key in pi: - pard[pi].vary = True - else: - pard[pi].vary = False - return pard - - -GG['z_model'] = objective_func_big(params_big, GG['dist'], GG['dist_y'], GG['slopes'], test_flag= True) -plot_instance(GG, 'slopes', 'z_model', view_scale = 0.6) - -# %% -#help(LM.minimize) -# params_big = turn_vary_key_on(params_big, 'group_phase') -# fitter = LM.minimize(objective_func_big, params_big, args=fitting_args, method='ampgo',max_nfev=10000) -#fitter - -params2 = turn_vary_key_on(params_big, 'K_prime') -fitter = LM.minimize(objective_func_big, params2, args=fitting_args, method='least_squares',max_nfev=10000) - -params2 = turn_vary_key_on(fitter.params, 'K_amp') -fitter = LM.minimize(objective_func_big, params2, args=fitting_args, method='least_squares',max_nfev=10000) - -#print('angle_shift') -# params2 = turn_vary_key_on(fitter.params, 'angle_shift') -# fitter = LM.minimize(objective_func_big, params2, args=fitting_args, method='least_squares',max_nfev=10000) -#fitter = LM.minimize(objective_func_big, fitter.params, args=fitting_args, method='emcee') - -# %% -GG['z_model'] = objective_func_big(fitter.params, GG['dist'],GG['dist_y'], GG['slopes'], test_flag= True) -plot_instance(GG, 'slopes', 'z_model', view_scale = 0.6) - -# %% -z_mdoel_init = objective_func_big(params_big, GG['dist'],GG['dist_y'], GG['slopes'], test_flag= True) -objective_func_big(params_big, GG['dist'],GG['dist_y'], GG['slopes'], test_flag= False).sum() -z_mdoel_fit = objective_func_big(fitter.params, GG['dist'],GG['dist_y'], GG['slopes'], test_flag= True) -objective_func_big(fitter.params, GG['dist'],GG['dist_y'], GG['slopes'], test_flag= False).sum() -plt.plot(z_mdoel_init) -plt.plot(z_mdoel_fit) - - -# %% -#fitter.params.valuesdict() - -def params_to_Dataframe(pard): - - pardict_val = np.array(list(pard.valuesdict().values())) - - pardict = dict() - pardict['K_prime_array'] = pardict_val[0:N_wavenumbers] - pardict['K_amp_array'] = pardict_val[N_wavenumbers:N_wavenumbers*2] - pardict['group_phase_array'] = pardict_val[N_wavenumbers*2:N_wavenumbers*3] - pardict['alpha'] = pardict_val[N_wavenumbers*3:N_wavenumbers*4] - - return pd.DataFrame.from_dict(pardict) - -Fits = params_to_Dataframe(fitter.params) -plt.plot( k_fft_max_list, abs( (Fits['alpha']) ), '.' ) - -Fits['alpha'] - -plt.hist(fitter.flatchain, 30) diff --git a/analysis/SB03_swell_phase_fitting_posterior_direct.py b/analysis/SB03_swell_phase_fitting_posterior_direct.py deleted file mode 100644 index bf1bee9b..00000000 --- a/analysis/SB03_swell_phase_fitting_posterior_direct.py +++ /dev/null @@ -1,191 +0,0 @@ - -import os, sys -#execfile(os.environ['PYTHONSTARTUP']) - -""" -This file open a ICEsat2 track applied filters and corections and returns smoothed photon heights on a regular grid in an .nc file. -This is python 3 -""" - -exec(open(os.environ['PYTHONSTARTUP']).read()) -exec(open(STARTUP_2021_IceSAT2).read()) - -#%matplotlib inline - -import ICEsat2_SI_tools.convert_GPS_time as cGPS -import h5py -import ICEsat2_SI_tools.io as io -import ICEsat2_SI_tools.spectral_estimates as spec - -import imp -import copy -import spicke_remover -import datetime -import concurrent.futures as futures - -col.colormaps2(21) - -#import s3fs -# %% -track_name, batch_key, test_flag = io.init_from_input(sys.argv) # loads standard experiment -#track_name, batch_key, test_flag = '20190605061807_10380310_004_01', 'SH_batch01', False -#track_name, batch_key, test_flag = '20190601094826_09790312_004_01', 'SH_batch01', False -#track_name, batch_key, test_flag = '20190207111114_06260210_004_01', 'SH_batch02', False -#track_name, batch_key, test_flag = '20190219073735_08070210_004_01', 'SH_batch02', False -#track_name, batch_key, test_flag = '20190601093502_09790310_004_01', 'SH_batch02', False -track_name, batch_key, test_flag = '20190219073735_08070210_004_01', 'SH_batch02', False - - -#print(track_name, batch_key, test_flag) -hemis, batch = batch_key.split('_') -#track_name= '20190605061807_10380310_004_01' -ATlevel= 'ATL03' - -save_path = mconfig['paths']['work'] + '/B03_spectra_'+hemis+'/' -save_name = 'B03_'+track_name - -plot_path = mconfig['paths']['plot'] + '/'+hemis+'/'+batch_key+'/' + track_name + '/B_spectra/' -MT.mkdirs_r(plot_path) -MT.mkdirs_r(save_path) -bad_track_path =mconfig['paths']['work'] +'bad_tracks/'+ batch_key+'/' -# %% - -all_beams = mconfig['beams']['all_beams'] -high_beams = mconfig['beams']['high_beams'] -low_beams = mconfig['beams']['low_beams'] -#Gfilt = io.load_pandas_table_dict(track_name + '_B01_regridded', load_path) # rhis is the rar photon data - -load_path = mconfig['paths']['work'] +'/B02_spectra_'+hemis+'/' -Gd = xr.load_dataset(load_path+ '/B02_'+track_name + '_gFT_k.nc' ) # -Gdi = Gd.sel(beam = 'gt1r').isel(x = 1).sel(k =slice(0, 0.06)) -Gdi.gFT_PSD_data.plot() - -# %% - -# def wavemodel(XX, YY, ks, ls, amps, group_phase = 0, amp_height= 1): -# -# import numpy as np -# -# G = np.vstack([ np.cos(np.outer(XX, ks) + np.outer(YY, ls) ).T , np.sin(np.outer(XX, ks) + np.outer(YY, ls) ).T ] ).T -# -# #phase1 = np.random.rand(1, amp_list.size) * np.pi*2 -# #phase = np.arange(0, amp_list.size) * np.pi/2 -# -# b = np.hstack([ np.cos(group_phase)*amps, np.sin(group_phase) *amps]).squeeze() * amp_height -# z_model = (G @ b) -# -# return z_model - - -# %% select data -Gd.keys() -for b in Gd.beam: - B = Gd.sel(beam= b) - plt.plot(B['lon'], B['lat']) - - -B1 = Gd.sel(beam = 'gt2r') -B2 = Gd.sel(beam = 'gt1r') - -dist_y_mean = np.sqrt( (B1['x_coord']-B2['x_coord'])**2 + (B1['y_coord']-B2['y_coord'])**2 ).mean() -dist_y_mean - -B1.coords['dist_y'] = 0 -B2.coords['dist_y'] = dist_y_mean - -GG0 = xr.concat( [B1.expand_dims('dist_y'), B2.expand_dims('dist_y')] , dim= 'dist_y') - - -#plt.plot( GG0['x']/1e3 , GG0['y']/1e3) -plt.plot( GG0['x_coord']/1e3 , GG0['y_coord']/1e3, '^') - -# %% -GG0.gFT_PSD_model.isel(dist_y= 1).rolling(x=2, k =30).mean().plot() -GG0.Z_hat_imag.isel(dist_y= 1).rolling(x=2, k =30).mean().plot() -GG0.Z_hat_real.isel(dist_y= 1).rolling(x=2, k =30).mean().plot() - - - - -k_smooth = 5 -some_angle = np.arctan2( GG0.Z_hat_imag.isel(dist_y= 1).rolling(k =k_smooth).mean() , GG0.Z_hat_real.isel(dist_y= 1 ).rolling(k =k_smooth).mean() ) -some_angle.plot(cmap =col.circle_big) - -plt.plot(some_angle.k, some_angle.sel(x = slice(2.025e6, 2.075e6) ), c='gray', alpha = 0.3) - - - - -# %% -#GG0.sel(x = 2e6, method= 'nearest').isel( dist_y= 0, k = slice(100, 300 )).Z_hat_imag.plot() -GG0.sel(x = 2e6 , method= 'nearest').sel(k = slice(0.02, 0.05 )).isel( dist_y= 0).Z_hat_imag.plot() -GG0.sel(x = 2e6, method= 'nearest').sel(k = slice(0.02, 0.05 )).isel( dist_y= 1).Z_hat_imag.plot() - -# %% -k_smooth= 5 -GG0.sel(x = 2.05e6 , method= 'nearest').rolling(k =k_smooth).mean().sel(k = slice(0.02, 0.06 )).isel( dist_y= 0).gFT_PSD_model.plot() -GG0.sel(x = 2.05e6, method= 'nearest').rolling(k =k_smooth).mean().sel(k = slice(0.02, 0.06 )).isel( dist_y= 1).gFT_PSD_model.plot() - -# %% - -klim= 0, 0.06 -Gi = GG0.sel(x = 2.05e6 , method= 'nearest').isel( dist_y= 0).sel(k = slice(klim[0] , klim[1]))#.rolling(k=10 ).mean() -Gi2 = GG0.sel(x = 2.05e6 , method= 'nearest').isel( dist_y= 0).sel(k = slice(klim[0] , klim[1]))#.rolling(k=5 ).mean() - -#Gi.gFT_PSD_model.plot() - -def plot_Z(X, Y, cmap= plt.cm.jet, line_c= 'k', k_wave=None, shift=0, head = 'o', head_size=30, alpha = 1 , **kargs): - - all_cols = np.array(plt.cm.jet(np.arange(0, Y.size ))) - - def plot_q(xi, yi, c, kk = None, **kargs): - #print(xi, yi) - #xi, yi =np.sign(xi) * np.log(abs(xi)), np.sign(yi) *np.log(abs(yi)) - xi, yi =np.sign(xi) * np.sqrt(abs(xi)), np.sign(yi) *np.sqrt(abs(yi)) - - #plt.plot([shift, xi+shift], [0, yi], '-', color = c, alpha = 0.5* alpha, **kargs) - plt.plot([shift, xi+shift], [0, yi], '-', color =line_c, linewidth =1.5, alpha = 0.5* alpha, **kargs, zorder= 0) - plt.scatter([xi+shift], [yi], head_size, marker= head ,color = c, alpha = alpha, **kargs, edgecolors= 'black') - if kk is not None: - plt.text(xi+shift, yi, ' '+str(int(kk)) ) - - - if k_wave is None: - for xi,yi,cc in zip(X, Y, all_cols): - if ~np.isnan(xi): - plot_q(xi, yi, cc[0:3], **kargs) - - else: - for xi,yi,cc,kk in zip(X, Y, all_cols, k_wave): - if ~np.isnan(xi): - plot_q(xi, yi, cc[0:3],kk= kk, **kargs) - -weight = np.copy(Gi.gFT_PSD_model ) -#weight = np.copy(Gi.gFT_PSD_model.sel(k = slice(klim[0] , klim[1])) ) -weight[weight < 0.015] =np.nan -weight =1e3* weight/np.nanmean(weight) - -# col.colormaps2( Gi.k.size ) -#all_cols = np.array(col.circle_medium_triple(np.arange(0, Gi.k.size ))) - -plot_Z(Gi.gFT_cos_coeff.data * weight,Gi.gFT_sin_coeff.data *weight, k_wave = np.arange(Gi.k.size), line_c = 'k', head='o', head_size=60, shift= 0) - -#Gi2.gFT_PSD_model.rolling(k=3 ).mean().plot() -# Gi2.gFT_PSD_model.plot() - - -weight = np.copy(Gi2.gFT_PSD_model ) -weight[weight < 0.015] =np.nan -weight = 1e3 *weight/np.nanmean(weight) - -plot_Z(Gi2.gFT_cos_coeff.data * weight,Gi2.gFT_sin_coeff.data *weight , k_wave = np.arange(Gi2.k.size) , shift= 0, line_c = 'r', head='+', head_size=120 , alpha = 0.99) - - -plt.grid() -plt.axis('equal') - -#llim= 8 -#plt.xlim(- llim, llim) -#plt.ylim(- llim, llim) - -#GG0.sel(x = 2.05e6 , method= 'nearest').gFT_cos_coeff diff --git a/analysis/SB04_2d_wavefield_emulator.py b/analysis/SB04_2d_wavefield_emulator.py deleted file mode 100644 index 7f2a2037..00000000 --- a/analysis/SB04_2d_wavefield_emulator.py +++ /dev/null @@ -1,286 +0,0 @@ - -import os, sys - -""" -This file open a ICEsat2 track applied filters and corections and returns smoothed photon heights on a regular grid in an .nc file. -This is python 3 -""" -if __name__ == '__main__': - exec(open(os.environ['PYTHONSTARTUP']).read()) - exec(open(STARTUP_2021_IceSAT2).read()) - - import ICEsat2_SI_tools.convert_GPS_time as cGPS - import h5py - import ICEsat2_SI_tools.io as io - import ICEsat2_SI_tools.spectral_estimates as spec - - import imp - import copy - import spicke_remover - import datetime - import concurrent.futures as futures - - track_name, batch_key, test_flag = io.init_from_input(sys.argv) # loads standard experiment - - track_name, batch_key, test_flag = '20190219073735_08070210_004_01', 'SH_batch02', False - - - - - #print(track_name, batch_key, test_flag) - hemis, batch = batch_key.split('_') - ATlevel= 'ATL03' - - save_path = mconfig['paths']['work'] + '/B03_spectra_'+hemis+'/' - save_name = 'B03_'+track_name - - plot_path = mconfig['paths']['plot'] + '/phase_fitting_fake/2D_fake/' - MT.mkdirs_r(plot_path) - MT.mkdirs_r(save_path) - bad_track_path =mconfig['paths']['work'] +'bad_tracks/'+ batch_key+'/' - -if __name__ == '__main__': - all_beams = mconfig['beams']['all_beams'] - high_beams = mconfig['beams']['high_beams'] - low_beams = mconfig['beams']['low_beams'] - - - load_path = mconfig['paths']['work'] +'/B01_regrid_'+hemis+'/' - Gd = io.load_pandas_table_dict(track_name + '_B01_binned' , load_path) # - load_path = mconfig['paths']['work'] + '/B02_spectra_'+hemis+'/' - Gpars = io.load_pandas_table_dict('B02_'+ track_name + '_params' , load_path) # - Gspec = xr.open_dataset(load_path + 'B02_'+ track_name + '_LS.nc' ) # - Gspec['Y_model_hat'] = Gspec.Y_model_hat_real + Gspec.Y_model_hat_imag *1j - Gspec = Gspec.drop('Y_model_hat_real').drop('Y_model_hat_imag') - - dk = Gspec.k.diff('k').mean().data - Lpoints = Gspec.Lpoints - - Gspec = Gspec.sel(k = slice(0.000125, 0.025)).isel(x =slice(4, 30)) - - Gspec.coords['f'] = (('k'), np.sqrt(Gspec.k.data * 9.81)/ 2/np.pi ) - Gspec.coords['T'] = 1/Gspec.coords['f'] - Gspec=Gspec.swap_dims({'k': 'f'}) - - - A, B = Gspec.sel(beam= 'gt2r').Y_model_hat , Gspec.sel(beam= 'gt2l').Y_model_hat - - r_ave_kargs={'x':2, 'f':10, 'center':True, 'min_periods':2} - r_ave_kargs2={'f':10, 'center':True, 'min_periods':2} - - S_aa = (A*A.conj()).real - S_bb = (B*B.conj()).real - - co_spec = (A.conj() *B).rolling(**r_ave_kargs).mean() - np.log(abs(co_spec)).plot(levels=np.arange(-2, 3, 0.1)) - - (abs(co_spec)).plot(levels=np.exp(np.arange(-3, 2, 0.1))) - - abs(co_spec).mean('x').plot() -if __name__ == '__main__': - L1 = 50 - k1 = 2* np.pi /L1 - l1 = 2* np.pi /L1 - - L2 = 65 - k2 = 2* np.pi /L2 - - x=np.arange(-250, 250, 0.5) - y=np.arange(-200, 200, 0.5) - Nx, Ny= x.size, y.size - XX, YY = np.meshgrid(x, y) - XX, YY = XX.reshape(XX.size), YY.reshape(YY.size) - - alpha = 35 - kk, ll = np.cos(alpha * np.pi/180) * np.array([0.9*k1, k1, 1.1* k1]), np.sin(alpha * np.pi/180) * np.array([0.9* k1, 1*k1, 1.1* k1]) - M_k, M_l = kk.size, ll.size - kk_mesh, ll_mesh = np.meshgrid(kk, ll) - kk_mesh, ll_mesh = kk_mesh.reshape(kk_mesh.size), ll_mesh.reshape(ll_mesh.size) - G = np.cos(np.outer(XX, kk_mesh) + np.outer(YY, ll_mesh)).T - G.shape - - plt.contourf(x, y, G.sum(0).reshape(Ny, Nx) ) - plt.axis('equal') - - # %% radial coordincates - -def gaus_2d(x, y, pos_tuple, sigma_g ): - gx = np.exp(-0.5 * (x - pos_tuple[0])**2 /sigma_g**2 ) - gy = np.exp(-0.5 * (y - pos_tuple[1])**2 /sigma_g**2 ) - return np.outer(gx , gy).T - -if __name__ == '__main__': - - k_range = np.linspace(0, 0.1, 30) - l_range = np.linspace(-0.1, .1 , 60) - kk, ll = np.meshgrid(k_range, l_range) - gaus_lk = gaus_2d( k_range, l_range, [0.02, 0.0] , 0.01) - - M.figure_axis_xy(4, 4, view_scale= 0.5) - plt.contourf(k_range, l_range, gaus_lk ) - plt.axis('equal') - -k_0 = 0.03 -l_0 = 0 -dk = 0.01 -stancil_size =0 -def get_stancils_kl(k_0, l_0, size =1 , dk= 0.01, mesh = True): - import numpy as np - """ - size is the stancil half width. if 0 the stancil is 1, if one the stancil is 3 and so on. - - """ - if size ==0: - stancil_k = np.array(k_0) - stancil_l = np.array(l_0) - else: - stancil_k = (np.arange(-size, size +1 , 1) *dk + k_0 ) - stancil_l = (np.arange(-size, size +1 , 1) *dk + l_0 ) - - if mesh: - stancil_k_mesh, stancil_l_mesh = np.meshgrid(stancil_k, stancil_l) - else: - stancil_k_mesh, stancil_l_mesh = stancil_k, stancil_l - - return stancil_k_mesh, stancil_l_mesh - - -def get_rand_stancils(a_mean, size =1 , dk= 0.01): - import numpy as np - """ - size is here the total stancil size. - dk is the 2d std of the gaussian - - """ - if size == 1: - stancil_k = np.array(a_mean) - else: - - stancil_k = np.random.normal(a_mean, dk,size-1) - stancil_k = np.insert(stancil_k ,0, a_mean ) - return stancil_k - - -def gaus_2d_mesh(XX,YY, pos_tuple, sigma_g ): - #grid = ( (XX - pos_tuple[0]) * (YY - pos_tuple[1]) ) - import numpy as np - gx = np.exp(-0.5 * (XX - pos_tuple[0])**2 /sigma_g**2 ) - gy = np.exp(-0.5 * (YY - pos_tuple[1])**2 /sigma_g**2 ) - return (gx * gy).T - -if __name__ == '__main__': - - k_mesh, l_mesh = get_stancils_kl(k_0, l_0, size= stancil_size, dk= dk) - amp_mesh =gaus_2d_mesh( k_mesh, l_mesh , [k_0, l_0] , dk) - - - stancil_k_mesh, stancil_l_mesh = k_mesh.reshape(k_mesh.size), l_mesh.reshape(l_mesh.size) - stancil_amp_mesh = amp_mesh.reshape(amp_mesh.size) - - plt.contourf(k_mesh, l_mesh, amp_mesh) - plt.axis('equal') - - -def get_stancils_polar( amp, angle_rad, size=1, dk = 0.01, mesh = True, plot_flag = True, amp_std= None, random=True): - """ - inputs: - - amp length of peak k vector in radial coordinates - angle_rad angle of peak k vector in radians between - pi/2 to + pi/2 - size determines number of wave numbers used M = size*2+1. if 0, it returns single wave number, if 1 it returns 3 wavenumbers - dk spread between the wavenumber - mesh (True) the returns are MxM stancils (M = size*2+1), if False only the terms along the cross are used. - plot_flag plots the wavegroup in k-l space - - returns: - list of k wave numbers, list of l wave numbers, list of relative amplitudes, shape of the stancil - """ - import numpy as np - k0 = amp * np.cos(angle_rad) - l0 = amp * np.sin(angle_rad) - - if amp_std is None: - amp_std = dk - else: - amp_std = amp_std - - if random: - - k_mesh = get_rand_stancils(k0, size= size, dk= dk) - l_mesh = get_rand_stancils(l0, size= size, dk= dk) - - amp_mesh = get_rand_stancils(0, size= size, dk= 0.2) - amp_mesh= np.ones(amp_mesh.size) - abs(amp_mesh) - stancil_k_mesh, stancil_l_mesh, stancil_amp_mesh = k_mesh, l_mesh, amp_mesh - else: - - k_mesh, l_mesh = get_stancils_kl(k0, l0, size= size, dk= dk, mesh= mesh) - amp_mesh = gaus_2d_mesh( k_mesh, l_mesh , [k0, l0] , amp_std) - - stancil_k_mesh, stancil_l_mesh = k_mesh.reshape(k_mesh.size), l_mesh.reshape(l_mesh.size) - stancil_amp_mesh = amp_mesh.reshape(amp_mesh.size) - - amp_mesh = amp_mesh/amp_mesh.sum() - - - #print(k_mesh, l_mesh, amp_mesh) - if plot_flag: - import matplotlib.pyplot as plt - if size == 1: - plt.plot(k_mesh, l_mesh, '.', markersize= amp_mesh*3, color= 'black') - else: - if random: - plt.scatter(k_mesh, l_mesh, amp_mesh*3, color= 'black') - else: - plt.contour(k_mesh, l_mesh, amp_mesh, colors= 'black', linewidths= 1) - - - return stancil_k_mesh, stancil_l_mesh, stancil_amp_mesh, k_mesh.shape - - -if __name__ == '__main__': - font_for_pres() - - angle =45 - amp =1 - phase = 0 - k_abs = 0.1 - - for dk in np.arange(0.005, 0.03, 0.002): - - for size in [2, 5, 10, 30, 50, 100, 200]: - F = M.figure_axis_xy(8, 3, view_scale = 0.5, container =False) - plt.suptitle('k_abs=' + str(k_abs) +' angle=' + str(angle) + ' size=' + str(size) +' dk=' + str(dk) ) - ax = plt.subplot(1, 2, 1) - k_list, l_list, amp_weights, stancil_shape = get_stancils_polar(k_abs, angle * np.pi/180, size=size, dk = dk, mesh = True , plot_flag= True, random = True) - circle1 = plt.Circle((k_list[0], l_list[0]), dk, color='b', fill=False) - ax.add_patch(circle1) - - k_noise, l_noise, amp_noise, stancil_shape = get_stancils_polar(0.8, 0 * np.pi/180, size=20, dk = 0.3, mesh = True , plot_flag= True, random = True) - amp_noise = (amp_noise *0+1) * 0 - - plt.xlim(0, 0.1) - #plt.axis('equal') - plt.ylim(-0.1, 0.1) - plt.xlabel('k wavenumber') - plt.ylabel('l wavenumber') - - # % Derive real space model - plt.subplot(1, 2, 2) - - k_all = np.concatenate([k_list, k_noise]) - l_all = np.concatenate([l_list, l_noise]) - amp_all = np.concatenate([amp_weights, amp_noise]) - amp_all.shape - G = np.vstack([ np.cos(np.outer(XX, k_all) + np.outer(YY, l_all)).T , np.sin(np.outer(XX, k_all) + np.outer(YY, l_all)).T ] ).T - - b = np.hstack([ np.cos(phase)*amp_all, np.sin(phase) *amp_all]).squeeze() * amp - z_model = (G @ b).reshape(Ny, Nx) - - z_model.shape - plt.contourf(x, y, z_model ) - plt.axis('equal') - - F.save_light(path = plot_path, name = 'fake_2d_dk' +str(dk) +'_s' + str(int(size))) - plt.show() - diff --git a/analysis/X01_track_visualization.py b/analysis/X01_track_visualization.py deleted file mode 100644 index 7106089d..00000000 --- a/analysis/X01_track_visualization.py +++ /dev/null @@ -1,158 +0,0 @@ - -import os, sys -#execfile(os.environ['PYTHONSTARTUP']) - -""" -This file open a ICEsat2 track applied filters and corections and returns smoothed photon heights on a regular grid in an .nc file. -This is python 3 -""" - -exec(open(os.environ['PYTHONSTARTUP']).read()) -exec(open(STARTUP_2021_IceSAT2).read()) - -#%matplotlib inline - -import ICEsat2_SI_tools.convert_GPS_time as cGPS -import h5py -import ICEsat2_SI_tools.io as io -import ICEsat2_SI_tools.spectral_estimates as spec - -import imp -import copy -import spicke_remover -import datetime -import concurrent.futures as futures -#import s3fs -# %% -track_name, batch_key, test_flag = io.init_from_input(sys.argv) # loads standard experiment -#track_name, batch_key, test_flag = '20190605061807_10380310_004_01', 'SH_batch01', False -#track_name, batch_key, test_flag = '20190601094826_09790312_004_01', 'SH_batch01', False -#track_name, batch_key, test_flag = '20190207111114_06260210_004_01', 'SH_batch02', False -track_name, batch_key, test_flag = '20190219073735_08070210_004_01', 'SH_batch02', False - - - - -#print(track_name, batch_key, test_flag) -hemis, batch = batch_key.split('_') -#track_name= '20190605061807_10380310_004_01' -ATlevel= 'ATL03' - -save_path = mconfig['paths']['work'] + '/B03_spectra_'+hemis+'/' -save_name = 'B03_'+track_name - -plot_path = mconfig['paths']['plot'] + '/'+hemis+'/'+batch_key+'/' + track_name + '/B_spectra/' -MT.mkdirs_r(plot_path) -MT.mkdirs_r(save_path) -bad_track_path =mconfig['paths']['work'] +'bad_tracks/'+ batch_key+'/' -# %% - -all_beams = mconfig['beams']['all_beams'] -high_beams = mconfig['beams']['high_beams'] -low_beams = mconfig['beams']['low_beams'] -#Gfilt = io.load_pandas_table_dict(track_name + '_B01_regridded', load_path) # rhis is the rar photon data - -load_path = mconfig['paths']['work'] +'/B01_regrid_'+hemis+'/' -Gd = io.load_pandas_table_dict(track_name + '_B01_binned' , load_path) #\ -# %% - -Gi = Gd['gt1r'][['dist', 'heights_c_weighted_mean', 'heights_c_std', 'N_photos', 'y','x']] -x = Gi['dist'] -xlims = x.iloc[0], x.iloc[-1] - - - - -#Gi['slopes'] = dd - - -# %% - -T_max = 40 #sec -k_0 = (2 * np.pi/ T_max)**2 / 9.81 -x= np.array(Gi['dist']) -dx = np.diff(x).mean() -min_datapoint = 1/k_0/dx - -Lpoints = int(np.round(min_datapoint) * 20) -Lmeters =Lpoints * dx - -stancil_iter = spec.create_chunk_boundaries_unit_lengths(Lmeters, xlims, ov= None , iter_flag=False) -# %% - - - - - -# %% -def plot_beam(x,y, z, alpha_mean= 0.5, levels_std = 1, point_size= None ): - - if alpha_mean is False: - alphas = 1 - else: - alphas= (abs(z/z.std()/2) )**(1/2) - alphas= alphas*alpha_mean - alphas[alphas>=1] = 1 - alphas[alphas<0] = 0 - alphas[np.isnan(alphas)] = 0 - - if type(levels_std) is not np.array: - levels = np.linspace(-z.std()*levels_std, z.std()*levels_std, 30) - else: - levels = levels_std - - if point_size is None: - psize = abs(z*400)#**(1.5) - else: - point_size = point_size - - plt.scatter(x,y, s =psize ,vmin=levels[0], vmax=levels[-1], c= z, marker='o', cmap= plt.cm.coolwarm, alpha= alphas, edgecolors= 'none' ) - - - -def get_stacil_data(stancil, G3, key = 'dist' ): - - mask = (G3[key] >= stancil[0]) & (G3[key] < stancil[2]) - return G3[np.array(mask)] - -def make_slopes(G3, key = 'heights_c_weighted_mean', spreed =10, verbose= False, photon_min =5): - - dd = np.copy(G3['heights_c_weighted_mean']) - dd = np.gradient(dd) - dd, _ = spicke_remover.spicke_remover(dd, spreed=spreed, verbose=verbose) - dd_nans = (np.isnan(dd) ) + (G3['N_photos'] <= photon_min) - - return dd, dd_nans - -y_positions = { -'gt1l': 1, -'gt1r': 1.1, -'gt2l': 2, -'gt2r': 2.1, -'gt3l': 3, -'gt3r': 3.1 -} -Gd.keys() - -F = M.figure_axis_xy(8, 2, view_scale= 0.5) - - -stancil_iter = spec.create_chunk_boundaries_unit_lengths(Lmeters, xlims, ov= None , iter_flag=False) -#stancil = stancil_iter[:, 30] -stancil_iter.shape - -for stancil in stancil_iter[:,6:10].T: - print(stancil) - - for k,I in Gd.items(): - - GG = get_stacil_data(stancil, I) - slopes, nans = make_slopes(GG) - GG['slopes'] = slopes - #x,y, z = GG['lons'],GG['lats'] , GG['slopes'] - x,y, z = GG['dist'], GG['dist']*0 + y_positions[k] , GG['slopes'] - - plot_beam(x,y, z) - plt.plot(x.iloc[0], y.iloc[0], 'o', color='orange', markersize=5, alpha = 1) - plt.plot(x.iloc[-1], y.iloc[-1], '|', color='green', markersize=20, alpha = 1) - #plt.axis('equal') diff --git a/analysis/_B02_make_spectra.py b/analysis/_B02_make_spectra.py deleted file mode 100644 index 888db747..00000000 --- a/analysis/_B02_make_spectra.py +++ /dev/null @@ -1,389 +0,0 @@ -import os, sys -#execfile(os.environ['PYTHONSTARTUP']) - -""" -This file open a ICEsat2 track applied filters and corections and returns smoothed photon heights on a regular grid in an .nc file. -This is python 3 -""" - -exec(open(os.environ['PYTHONSTARTUP']).read()) -exec(open(STARTUP_2021_IceSAT2).read()) - -#%matplotlib inline - -import ICEsat2_SI_tools.convert_GPS_time as cGPS -import h5py -import ICEsat2_SI_tools.io as io -import ICEsat2_SI_tools.spectral_estimates as spec - -import imp -import copy -import spicke_remover -import datetime - -#import s3fs -# %% -track_name, batch_key, test_flag = io.init_from_input(sys.argv) # loads standard experiment -#track_name, batch_key, test_flag = '20190605061807_10380310_004_01', 'SH_batch01', False -#track_name, batch_key, test_flag = '20190601094826_09790312_004_01', 'SH_batch01', False -#track_name, batch_key, test_flag = '20190205231558_06030212_004_01', 'SH_batch02', False - - - -#print(track_name, batch_key, test_flag) -hemis, batch = batch_key.split('_') -#track_name= '20190605061807_10380310_004_01' -ATlevel= 'ATL03' - -load_path = mconfig['paths']['work'] +'/B01_regrid_'+hemis+'/' -load_file = load_path + 'processed_' + ATlevel + '_' + track_name + '.h5' - -save_path = mconfig['paths']['work'] + '/B02_spectra_'+hemis+'/' -save_name = 'B02_'+track_name - -plot_path = mconfig['paths']['plot'] + '/'+hemis+'/'+batch_key+'/' + track_name + '/B_spectra/' -MT.mkdirs_r(plot_path) -MT.mkdirs_r(save_path) -bad_track_path =mconfig['paths']['work'] +'bad_tracks/'+ batch_key+'/' -# %% - -all_beams = mconfig['beams']['all_beams'] -high_beams = mconfig['beams']['high_beams'] -low_beams = mconfig['beams']['low_beams'] -Gfilt = io.load_pandas_table_dict(track_name + '_B01_regridded', load_path) # rhis is the rar photon data -Gd = io.load_pandas_table_dict(track_name + '_B01_binned' , load_path) # - - -# %% test amount of nans in the data -nan_fraction= list() -for I in Gd.values(): - nan_fraction.append( np.sum(np.isnan(I['heights_c_std'])) / I['heights_c_std'].shape[0] ) - - -if np.array(nan_fraction).mean() > 0.95: - print('nan fraction > 95%, pass this track, add to bad tracks') - MT.json_save(track_name, bad_track_path, {'nan_fraction': np.array(nan_fraction).mean(), 'date': str(datetime.date.today()) }) - print('exit.') - exit() - -# %% test LS with an even grid where missing values are set to 0 -imp.reload(spec) -print(Gd.keys()) -Gi =Gd[ list(Gd.keys())[0] ] # to select a test beam - -# derive spectal limits -# Longest deserved period: -T_max = 40 #sec -k_0 = (2 * np.pi/ T_max)**2 / 9.81 -x= np.array(Gi['dist']) -dx = np.diff(x).mean() -min_datapoint = 1/k_0/dx - -Lpoints = int(np.round(min_datapoint) * 20) -Lmeters =Lpoints * dx - -#plt.plot(np.diff(np.array(Gi['dist']))) -print('L number of gridpoint:', Lpoints) -print('L length in meters:', Lmeters) -print('approx number windows', 2* Gi['dist'].iloc[-1] /Lmeters-1 ) - - -S_pwelch_k, S_pwelch_dk = spec.calc_freq_LS( x, Lpoints, dx= dx, method='fft', minimum_frequency=None, maximum_frequency=None, samples_per_peak=0.005) -S_pwelch_k.shape -hkey= 'heights_c_weighted_mean' - -G_LS= dict() -G_fft= dict() -imp.reload(spec) - -# %% -k =all_beams[0] - -for k in all_beams: - - x = Gd[k]['dist'] - xlims = x.iloc[0], x.iloc[-1] - dd = np.copy(Gd[k][hkey]) - print(xlims) - # %% - F = M.figure_axis_xy(6, 3) - plt.subplot(2, 1, 1) - plt.plot(x, dd, 'gray', label='displacement (m) ') - - # compute slope spectra !! - dd = np.gradient(dd) - dd, _ = spicke_remover.spicke_remover(dd, spreed=10, verbose=False) - dd_nans = (np.isnan(dd) ) + (Gd[k]['N_photos'] <= 5) - - dd_no_nans = dd[~dd_nans] - x_no_nans = x[~dd_nans] - - # outlyers = abs(dd) > dd.std() *5 - # dd= dd[~outlyers] - # x= x[~outlyers] - - plt.plot(x_no_nans, dd_no_nans, 'black', label='slope (m/m)') - plt.legend() - - print('LS') - S = spec.wavenumber_spectrogram_LS( np.array(x_no_nans), np.array(dd_no_nans), Lmeters, waven_method = S_pwelch_k[1:] , ov=None, window=None, kjumps=2) - G_ls_i = S.cal_spectrogram(xlims= xlims) - S.mean_spectral_error() # add x-mean spectal error estimate to xarray - S.parceval(add_attrs= True) - - # assign beam coordinate - G_ls_i.coords['beam'] = str(k)#(('beam'), str(k)) - G_ls_i = G_ls_i.expand_dims(dim = 'beam', axis = 2) - # repack such that all coords are associated with beam - G_ls_i.coords['N_per_stancil'] = (('x', 'beam' ), np.expand_dims(G_ls_i['N_per_stancil'], 1)) - G_ls_i.coords['mean_El'] = (('k', 'beam' ), np.expand_dims(G_ls_i['mean_El'], 1)) - G_ls_i.coords['mean_Eu'] = (('k', 'beam' ), np.expand_dims(G_ls_i['mean_Eu'], 1)) - - # calculate number data points - def get_stancil_nans(stancil): - x_mask = (stancil[0] < x) & (x <= stancil[-1]) - idata = Gd[k]['N_photos'][x_mask] - return stancil[1], idata.sum() - - photon_list = np.array(list(dict(map( get_stancil_nans, copy.copy(S.stancil_iter) )).values())) - G_ls_i.coords['N_photons'] = (('x', 'beam' ), np.expand_dims(photon_list, 1)) - - G_LS[k] = G_ls_i - - plt.subplot(2, 1, 2) - GG =G_ls_i.squeeze() - plt.plot(GG.k, GG.mean('x'), 'k', label='mean LS') - - - # standard FFT - print('FFT') - dd[dd_nans] = 0 - S = spec.wavenumber_spectrogram(x, dd, Lpoints) - G = S.cal_spectrogram() - S.mean_spectral_error() # add x-mean spectal error estimate to xarray - S.parceval(add_attrs= True) - - # assign beam coordinate - G.coords['beam'] = str(k)#(('beam'), str(k)) - G = G.expand_dims(dim = 'beam', axis = 2) - G.coords['mean_El'] = (('k', 'beam' ), np.expand_dims(G['mean_El'], 1)) - G.coords['mean_Eu'] = (('k', 'beam' ), np.expand_dims(G['mean_Eu'], 1)) - G.coords['x'] = G.coords['x'] * dx # adjust x-coodinate definition - - stancil_iter = spec.create_chunk_boundaries(int(Lpoints), dd_nans.size) - def get_stancil_nans(stancil): - idata = dd_nans[stancil[0]:stancil[-1]] - return stancil[1], idata.size - idata.sum() - - N_list = np.array(list(dict(map( get_stancil_nans, stancil_iter )).values())) - - # repack such that all coords are associated with beam - G.coords['N_per_stancil'] = (('x', 'beam' ), np.expand_dims(N_list, 1)) - - - G_fft[k] = G - GG =G.squeeze() - - plt.plot(G.k, GG[:, GG['N_per_stancil'] > 10 ].mean('x'), 'darkblue', label='mean FFT') - #plt.plot(G.k, GG.mean('x'), 'lightblue', label='mean FFT') - plt.legend() - plt.show() - - F.save_light(path=plot_path, name = 'B02_control_'+k+'_' + track_name) - #print('saved as '+'B02_control_'+k+'_' + track_name) - #print(np.isinf(G).sum().data) - - - -# %% - -def dict_weighted_mean(Gdict, weight_key): - """ - returns the weighted meean of a dict of xarray, data_arrays - weight_key must be in the xr.DataArrays - """ - #Gdict = G_LS - # weight_key='N_per_stancil' - - akey = list( Gdict.keys() )[0] - GSUM = Gdict[akey].copy() - GSUM.data = np.zeros(GSUM.shape) - N_per_stancil = GSUM.N_per_stancil * 0 - N_photons = np.zeros(GSUM.N_per_stancil.size) - - counter= 0 - for k,I in Gdict.items(): - I =I.squeeze() - GSUM += I.where( ~np.isnan(I), 0) * I[weight_key] #.sel(x=GSUM.x) - N_per_stancil += I[weight_key] - if 'N_photons' in GSUM.coords: - N_photons += I['N_photons'] - counter+=1 - - GSUM = GSUM / N_per_stancil /counter - - if 'N_photons' in GSUM.coords: - GSUM.coords['N_photons'] = (('x', 'beam'), np.expand_dims(N_photons, 1) ) - - GSUM['beam'] = ['weighted_mean'] - GSUM.name='power_spec' - - return GSUM - -G_LS_wmean = dict_weighted_mean(G_LS, 'N_per_stancil') -G_fft_wmean = dict_weighted_mean(G_fft, 'N_per_stancil') - - -# %% plot -def plot_wavenumber_spectrogram(ax, Gi, clev, title= None, plot_photon_density=True ): - - x_lambda= 1/Gi.k - plt.pcolormesh(Gi.x/1e3, x_lambda , Gi, cmap=plt.cm.ocean_r , vmin = clev[0], vmax = clev[-1]) - - ax.set_yscale('log') - # plt.colorbar(orientation='vertical', pad=0.06, label='Spectral Power (m^2/m)') - - if plot_photon_density: - - plt.plot(Gi.x/1e3, x_lambda[-1] + (Gi.N_per_stancil/Gi.N_per_stancil.max() ) * 10 , c='black', linewidth= 0.8, label='NAN-density' ) - plt.fill_between(Gi.x/1e3, x_lambda[-1] + (Gi.N_per_stancil/Gi.N_per_stancil.max() ) * 10, 0, color='gray', alpha = 0.3) - ax.axhline(30, color='black', linewidth=0.3) - - #plt.xlabel('Distance from the Ice Edge (km)') - plt.ylim(x_lambda[-1], x_lambda[0]) - plt.title(title, loc='left') - -#Gplot = G.rolling(x=5, min_periods= 1, center=True).mean() -#Gmean = G_LS_wmean.rolling(x=2, min_periods= 1, center=True).mean() -Gmean = G_LS_wmean.rolling(k=5, center=True).mean() -#Gmean = Gmean.where(~np.isnan(Gmean), 0) - -k_max_range = Gmean.k[Gmean.mean('x').argmax().data].data* 0.75, Gmean.k[Gmean.mean('x').argmax().data].data* 1, Gmean.k[Gmean.mean('x').argmax().data].data* 1.25 - -font_for_print() -F = M.figure_axis_xy(6.5, 5.6, container= True, view_scale =1) - -plt.suptitle('LS and FFT Slope Spectrograms\n' + track_name, y = 0.98) -gs = GridSpec(3,3, wspace=0.2, hspace=.5)#figure=fig, -#clev=np.arange(0, 6, 0.1)*3 - -#%matplotlib inline - -clev = M.clevels( [Gmean.quantile(0.01).data, Gmean.quantile(0.99).data * 1.2], 31)* 1 -xlims= Gmean.x[0]/1e3, Gmean.x[-1]/1e3 - -for pos, k, pflag in zip([gs[0, 0],gs[0, 1],gs[0, 2] ], high_beams, [True, False, False] ): - ax0 = F.fig.add_subplot(pos) - Gplot = G_LS[k].squeeze()#.rolling(k=10, x=2, min_periods= 1, center=True).mean() - #Gplot.mean('x').plot() - - # #plt.pcolormesh(G.x/1e3, 1/G.k , G, norm=colors.LogNorm(vmin=G.min()*1e6, vmax=G.max()), cmap='PuBu')#, vmin = clev[0], vmax = clev[-1]) - # - plot_wavenumber_spectrogram(ax0, Gplot, clev, title =k, plot_photon_density=True ) - plt.xlim(xlims) - # - if pflag: - plt.ylabel('Wave length\n(meters)') - plt.legend() - - -for pos, k, pflag in zip([gs[1, 0],gs[1, 1],gs[1, 2] ], low_beams, [True, False, False] ): - ax0 = F.fig.add_subplot(pos) - Gplot = G_LS[k].squeeze()#.rolling(k=10, x=2, min_periods= 1, center=True).mean() - #Gplot.mean('x').plot() - - # #plt.pcolormesh(G.x/1e3, 1/G.k , G, norm=colors.LogNorm(vmin=G.min()*1e6, vmax=G.max()), cmap='PuBu')#, vmin = clev[0], vmax = clev[-1]) - # - plot_wavenumber_spectrogram(ax0, Gplot, clev, title =k, plot_photon_density=True ) - plt.xlim(xlims) - # - if pflag: - plt.ylabel('Wave length\n(meters)') - plt.legend() - -pos, k, pflag = gs[2, 0], 'Power(weighted mean) \n10 $\log_{10}( (m/m)^2 m )$', True -ax0 = F.fig.add_subplot(pos) -Gplot = G_LS_wmean.squeeze().rolling(k=5, min_periods= 1, center=True).median().rolling(x=3, min_periods= 1, center=True).median() - -dd = 10 * np.log10(Gplot) -dd= dd.where(~np.isinf(dd), np.nan ) -clev_log = M.clevels( [dd.quantile(0.01).data, dd.quantile(0.98).data * 1.2], 31)* 1 -plot_wavenumber_spectrogram(ax0, dd, clev_log , title =k, plot_photon_density= True) -plt.xlim(xlims) - -# plt.plot(Gplot.x/1e3, 10* nan_list +20 , c='black', label='NAN-density' ) -# ax0.axhline(30, color='black', linewidth=0.5) - -ax0.axhline(1/k_max_range[0], color='red', linestyle= '--', linewidth= 0.5) -ax0.axhline(1/k_max_range[1], color='red', linestyle= '-', linewidth= 0.5) -ax0.axhline(1/k_max_range[2], color='red', linestyle= '--', linewidth= 0.5) - - -if pflag: - plt.ylabel('Wave length\n(meters)') - plt.legend() - -pos = gs[2, 1] -ax0 = F.fig.add_subplot(pos) -plt.title('Photons density ($m^{-1}$)', loc='left') - -for k,I in G_LS.items(): - plt.plot(Gplot.x/1e3, I.N_photons/Lmeters, label=k, linewidth=0.8) -plt.plot(Gplot.x/1e3, G_LS_wmean.N_photons/3/Lmeters , c='black', label='ave Photons' , linewidth=0.8) -plt.xlim(xlims) -plt.xlabel('Distance from the Ice Edge (km)') - -pos = gs[2, 2] -ax0 = F.fig.add_subplot(pos) - -ax0.set_yscale('log') - -plt.title('Peak Spectal Power', loc='left') - -for k,I in G_LS.items(): - plt.scatter(I.x.data/1e3, I.sel(k=slice(k_max_range[0], k_max_range[2])).integrate('k').data *1e3 , s=0.5, marker='.', color='red', alpha= 0.3) - -for k,I in G_fft.items(): - I= I.squeeze() - I= I[:,I.N_per_stancil >= I.N_per_stancil.max().data*0.9] - plt.scatter(I.x/1e3, I.sel(k=slice(k_max_range[0], k_max_range[2])).integrate('k') *1e3 , s=0.5, marker='.', c='blue', alpha= 0.3) - - -Gplot= G_fft_wmean.squeeze() -Gplot = Gplot[:,Gplot.N_per_stancil >= Gplot.N_per_stancil.max().data*0.9] -plt.plot(Gplot.x/1e3, Gplot.sel(k=slice(k_max_range[0], k_max_range[2])).integrate('k') *1e3, '.', markersize=1.5 , c='blue', label= 'FFT') - -Gplot= G_LS_wmean -plt.plot(Gplot.x/1e3, Gplot.sel(k=slice(k_max_range[0], k_max_range[2])).integrate('k') *1e3 , '.' , markersize=1.5, c='red', label= 'LS') - -plt.ylabel('1e-3 $(m)^2~m$') -plt.legend() -#plt.ylim(Gplot.min()*1.4, Gplot.max()*1.4 ) -plt.xlim(xlims) - -F.save_light(path=plot_path, name = 'B02_specs_' + track_name +'_L'+str(Lmeters)) - - -# %% repack data -def repack_attributes(DD): - attr_dim_list = list(DD.keys()) - for k in attr_dim_list: - for ka in list(DD[k].attrs.keys()): - I = DD[k] - I.coords[ka] = ( 'beam', np.expand_dims(I.attrs[ka], 1) ) - return DD - -G_LS[G_LS_wmean.beam.data[0]] =G_LS_wmean -G_fft[G_fft_wmean.beam.data[0]] =G_fft_wmean - -G_LS = repack_attributes(G_LS) -G_fft = repack_attributes(G_fft) - -# %% save results -G_LS_DS = xr.merge(G_LS.values()) -G_LS_DS['name'] = 'LS_power_spectra' -G_LS_DS.to_netcdf(save_path+save_name+'_LS.nc') - -G_fft_DS = xr.merge(G_fft.values()) -G_fft_DS['name']= 'FFT_power_spectra' -G_fft_DS.to_netcdf(save_path+save_name+'_FFT.nc') diff --git a/analysis/_old_make.make b/analysis/_old_make.make deleted file mode 100644 index 80f243a7..00000000 --- a/analysis/_old_make.make +++ /dev/null @@ -1,291 +0,0 @@ -#MAKEFLAGS += -j5 - -### example : show example how to use this file -.PHONY : example -example : - @echo "to download data given a batch list; -n is the text flag" - @echo "make -f make.make batch=batch02 download=batch02_tracks_test.json A01 -n" - @echo "to make targets without re-downloading the data; -n is the text flag" - @echo "make -f make.make batch=batch02 download=False B01 -n" - @echo "print targets" - @echo "make -f make.make batch=batch02 download=False print-B01_targets -n" - @echo "force target to rebuld -B" - @echo "make -B -f make.make batch=batch02 download=False B01 -n" - -MKDIR_P = mkdir -p - -# define paths to analysis -analysisfolder = $(shell jq -r '.paths.base' ../config/config.json)analysis_db/#/home/mhell/2021_ICESat2_tracks/analysis_db/ -plot_folder = $(shell jq -r '.paths.plot' ../config/config.json)#/home/mhell/2021_ICESat2_tracks/plots/ - -work_folder = $(shell jq -r '.paths.work' ../config/config.json)#/work/mhell_work/2021_ICESat2_tracks/ -scratch_folder = $(shell jq -r '.paths.scratch' ../config/config.json)#/scratch/mhell/2021_ICESat2_tracks/ -track_lists = $(shell jq -r '.paths.base' ../config/config.json)track_lists/#/home/mhell/2021_ICESat2_tracks/track_lists/ -track_downloader = $(shell jq -r '.paths.local_script' ../config/config.json)read-ICESat-2/scripts/#/home/mhell/2021_ICESat2_tracks/modules/read-ICESat-2/scripts/ -bad_tracks_folder = $(work_folder)bad_tracks - - -### parameters -#hemisphere of the analysis, either SH or NH -hemis = SH -# define batch here. defined higher-level structure. -batch = batch02#batch01 -#replace_flag = False -batch_key = $(hemis)_$(batch) - -# (False) if not False, this should be a beam/track ID. -# thought for processing single beams .. -beam = False - -# if not False provide a filename.json read this file and download the data. check that you are on the right batch!! -download=False - -# flag for testing. not used yet. -test_flag = False -### ------ - -ifeq ($(beam), False) -# load nc file list from batch_key folder -beam_list_json := $(shell ls $(scratch_folder)/$(batch_key)/) #$(shell jq -r .[] $(config_folder)config.json) -# reformatting -beam_list_rar := $(basename $(beam_list_json)) -beam_list := $(foreach i, $(beam_list_rar) , $(subst processed_ATL03_,,$(i)) ) - -#substr_list := $(foreach i, $(beam_list_rar) , $(subst _,'',$(i)) ) -#ALT := $(foreach i, $(beam_list_rar) , $(words $(subst _,'',$(i)) ) ) -# ALT := $(suffix $(beam_list_json) ) -else -beam_list= $(beam) -endif - -# beam_list_rar := $(basename $(beam_list_json)) -# beam_list := $(foreach i, $(beam_list_rar) , $(subst processed_ATL03_,,$(i)) ) - -# folders for batch -.PHONY : make_folder -make_folder : - ${MKDIR_P} $(scratch_folder)/$(batch_key) - ${MKDIR_P} $(bad_tracks_folder)/$(batch_key) - ${MKDIR_P} $(bad_tracks_folder)/$(batch_key)_deleted - - -#### section A -# download data - -ifeq ($(download), False) # create target list from beam_list -A01_targets := $(foreach i, $(beam_list) ,$(addprefix $(scratch_folder)/$(batch_key)/, processed_ATL03_${i}.h5 ) ) -$(A01_targets) : $(scratch_folder)/$(batch_key)/processed_ATL03_%.h5 : - touch $(scratch_folder)/$(batch_key)/processed_ATL03_$*.h5 - -else -# create target list from from file in track list folder. The target downloads the respective keys from the interweb. -A01_track_names := $(shell jq -r .[] $(track_lists)$(download)) -A01_tracks_rar := $(basename $(A01_track_names)) -A01_tracks := $(foreach i, $(A01_tracks_rar) , $(subst ATL03_,,$(i)) ) - -A01_targets := $(foreach i, $(A01_tracks) ,$(addprefix $(scratch_folder)/$(batch_key)/, processed_ATL03_${i}.h5 ) ) - -$(A01_targets) : $(scratch_folder)/$(batch_key)/processed_ATL03_%.h5 : - python $(track_downloader)/nsidc_icesat2_associated.py --user mhell@ucsd.edu --netrc ~/.netrc --product ATL03 --directory $(scratch_folder)/$(batch_key) -F ATL03_$*.h5 - mv $(scratch_folder)/$(batch_key)/ATL03_$*.h5 $(scratch_folder)/$(batch_key)/processed_ATL03_$*.h5 -endif - - -A02_targets := $(foreach i, $(beam_list) ,$(addprefix $(work_folder)/A02_prior_$(hemis)/, A02b_${i}_hindcast_success.json) ) -$(A02_targets) : $(work_folder)/A02_prior_$(hemis)/A02b_%_hindcast_success.json : $(analysisfolder)/A02b_WW3_hindcast_prior.py - python $(analysisfolder)/A02b_WW3_hindcast_prior.py $* $(batch_key) $(test_flag) > log/A02/$*.txt 2>&1 - -# download associated ALT10 data -A03_path := $(scratch_folder)/$(batch_key) -# this is based on the sucess of B02 righ now, has to be changed later on... -A03_list = $(foreach i, $(B02_success) , $(subst $(B02_path),$(A03_path)/processed_ATL10_,$(i)) ) -A03_targets =$(foreach i, $(A03_list) , $(subst _gFT_x,.h5,$(i)) ) - -#A03_targets := $(foreach i, $(beam_list) ,$(addprefix $(A03_path)/processed_ATL10_, ${i}.h5 ) ) -# khgc -$(A03_targets) : $(A03_path)/processed_ATL10_%.h5 : $(work_folder)B02_spectra_$(hemis)/B02_%_FFT.nc - python $(track_downloader)/nsidc_icesat2_associated.py --user mhell@ucsd.edu --netrc ~/.netrc --product ATL10 --directory $(scratch_folder)/$(batch_key) -F ATL03_$(subst _003_,_005_,$(subst _004_,_005_,$*)).h5 - mv $(A03_path)/ATL10_$(subst _003_,_005_,$(subst _004_,_005_,$*)).h5 $(A03_path)/processed_ATL10_$(subst _003_,_005_,$(subst _004_,_005_,$*)).h5 - -#/Users/Shared/Projects/2021_IceSAT2_tracks/data/scratch//SH_batch02/processed_ATL10_20190207001112_06190210_004_01.h5 - -.PHONY : A01 A02 A03 -A01 : $(A01_targets) -A02 : $(A02_targets) -A03 : $(A03_targets) - -#### section B #### -# B01 filters and regridds data, data is saves in binnned .h5 tables. -# B02 makes LS and FFT spectra -# B_collect collects the plots in a new folder - -# Filter in and make spectra -# not sure if this is needed .. -ifeq ($(download), False) -beam_list := $(beam_list) -else -beam_list := $(A01_tracks) -endif - -B01_targets := $(foreach i, $(beam_list) ,$(addprefix $(work_folder)/B01_regrid_SH/, ${i}_B01_binned.h5 ) ) -B02_targets := $(foreach i, $(beam_list) ,$(addprefix $(work_folder)/B02_spectra_SH/, B02_${i}_FFT.nc ) ) - -.PHONY : B01 B02# B03 -B01 : make_folder $(B01_targets) -B02 : $(B02_targets) - -$(B01_targets) : $(work_folder)/B01_regrid_$(hemis)/%_B01_binned.h5 : $(scratch_folder)/$(batch_key)/processed_ATL03_%.h5 $(analysisfolder)/B01_filter_regrid_segments.py - python $(analysisfolder)/B01_filter_regrid_segments.py $* $(batch_key) $(test_flag) > log/B01/$*.txt 2>&1 - -$(B02_targets) : $(work_folder)/B02_spectra_$(hemis)/B02_%_FFT.nc : $(work_folder)/B01_regrid_$(hemis)/%_B01_binned.h5 #$(analysisfolder)/B02_make_spectra.py - sleep $${RANDOM:0:2}s - python $(analysisfolder)/B02_make_spectra_gFT.py $* $(batch_key) $(test_flag) > log/B02/$*.txt 2>&1 - -B_collect : #B01 B02 - ${MKDIR_P} $(plot_folder)$(hemis)/$(batch_key)/B02/ - rm -fv $(plot_folder)$(hemis)/$(batch_key)/B02/* - cp $(plot_folder)$(hemis)/$(batch_key)/*/B_spectra/B02_specs_*.png $(plot_folder)$(hemis)/$(batch_key)/B02/ - -#### delete bad tracks ### - -# defeins targets for all bad tracks. -bad_beams_files := $(shell ls $(bad_tracks_folder)/$(batch_key)) #$(shell jq -r .[] $(config_folder)config.json) -bad_beams := $(basename $(bad_beams_files)) - -source_files := $(foreach i, $(bad_beams) ,$(addprefix $(scratch_folder)/$(batch_key), /processed_ATL03_${i}.h5 ) ) -#B01_files_01 := $(foreach i, $(bad_beams) ,$(addprefix $(work_folder)/B01_regrid_SH/, ${i}_B01_binned.h5 ) ) -#B01_files_02 := $(foreach i, $(bad_beams) ,$(addprefix $(work_folder)/B01_regrid_SH/, ${i}_B01_corrected.h5 ) ) -#B01_files_03 := $(foreach i, $(bad_beams) ,$(addprefix $(work_folder)/B01_regrid_SH/, ${i}_B01_regridded.h5 ) ) - -plot_folders := $(foreach i, $(bad_beams) ,$(addprefix $(plot_folder)/$(hemis)/tracks/, ${i} ) ) - -rm_bad_beams: #rm_B01_files - @echo "removing bad tracks in 5 sec" - sleep 5 - rm -fv $(source_files) - rm -fv -r $(plot_folders) - mv $(bad_tracks_folder)/$(batch_key)/*.json $(bad_tracks_folder)/$(batch_key)_deleted/ - -#rm -fv $(B01_targets) $(B01_files_02) $(B01_files_03) - - -# B03 overview plots -B02_path := $(work_folder)B02_spectra_$(hemis)/B02_ -# find sources -B02_success := $(basename $(shell ls $(B02_path)*_gFT_x.nc) ) -# B02_fail := $(basename $(shell ls $(B02_path)*_fail.json) ) -B03_path := $(plot_folder)$(hemis)/$(batch_key)/ -# write targets -B03_list := $(foreach i, $(B02_success) , $(subst $(B02_path),$(B03_path),$(i)) ) -B03_targets := $(foreach i, $(B03_list) , $(subst _gFT_x,/B03_success.json,$(i) ) ) - - -B03 : $(B03_targets) B03_mkdir B03_collect - -reset_B03 : - ls $(B03_path)*/B03_success.json - rm -rf $(B03_path)*/B03_success.json -#.PHONY : B03_collect - -B03_mkdir : - ${MKDIR_P} $(B03_collect_path) - ${MKDIR_P} $(B03_collect_path)coord_check - -$(B03_targets) : $(B03_path)%/B03_success.json : $(work_folder)B02_spectra_$(hemis)/B02_%_FFT.nc - python $(analysisfolder)/B03_plot_spectra_ov.py $* $(batch_key) $(test_flag) > log/B03/$*.txt 2>&1 - -B03_collect_path := $(plot_folder)$(hemis)/$(batch_key)/B03_ov/ -# search for all file and move, and rename them similar files -B03_success := $(shell ls $(B03_path)*/B03_success.json) -B03_collect_list := $(foreach i, $(B03_success) , $(subst $(B03_path),$(B03_collect_path),$(i) ) ) -#B03_collect_targets := $(foreach i, $(B03_collect_list) , $(subst /B03_success.json,_B03_success.json,$(i)) ) -B03_collect_targets := $(foreach i, $(B03_collect_list) , $(subst /B03_success.json,_B03_specs_L25000.png,$(i)) ) -B03_collect : $(B03_collect_targets) - -$(B03_collect_targets) : $(B03_collect_path)%_B03_specs_L25000.png : $(B03_path)%/B03_success.json - cp $(B03_path)$*/B03_specs_L25000.0.png $(B03_collect_path)$*_B03_specs_L25000.png - cp $(B03_path)$*/B03_specs_coord_check.png $(B03_collect_path)coord_check/$*_B03_specs_coord_check.png -#cp $(B03_path)$*/B03_spectra/B03_freq_reconst*.pdf $(B03_collect_path)$*_B03_freq_reconst.pdf - - - -B04_targets := $(foreach i, $(B03_success) , $(subst B03_success,B04_success,$(i)) ) - -B04 : $(B04_targets) - -$(B04_targets) : $(B03_path)%/B04_success.json : $(B03_path)%/B03_success.json $(work_folder)/A02_prior_$(hemis)/A02b_%_hindcast_success.json - python $(analysisfolder)/B04_angle.py $* $(batch_key) $(test_flag) > log/B04/$*.txt 2>&1 - -B04_success := $(shell ls $(B03_path)*/B04_success.json) -B04_B05_collect_path := $(plot_folder)$(hemis)/$(batch_key)/B04_B05_angle/ -B04_collect_list := $(foreach i, $(B04_success) , $(subst $(B03_path),$(B04_B05_collect_path),$(i) ) ) -B04_collect_targets := $(foreach i, $(B04_collect_list) , $(subst /B04_success.json,_B04_marginal_distributions.pdf,$(i)) ) - -B04_B05_mkdir : - ${MKDIR_P} $(B04_B05_collect_path) - -B04_collect : B04_B05_mkdir $(B04_collect_targets) -$(B04_collect_targets) : $(B04_B05_collect_path)%_B04_marginal_distributions.pdf : $(B03_path)%/B04_success.json - cp $(B03_path)$*/B04_marginal_distributions.pdf $(B04_B05_collect_path)$*_B04_marginal_distributions.pdf - -## ---------------- B5 - -B05_targets := $(foreach i, $(B04_success) , $(subst B04_success,B05_success,$(i)) ) - -B05 : $(B05_targets) - -$(B05_targets) : $(B03_path)%/B05_success.json : $(B03_path)%/B04_success.json - python $(analysisfolder)/B05_define_angle.py $* $(batch_key) $(test_flag) > log/B04/$*.txt 2>&1 - -B05_success := $(shell ls $(B03_path)*/B05_success.json) -B05_collect_list := $(foreach i, $(B05_success) , $(subst $(B03_path),$(B04_B05_collect_path),$(i) ) ) -B05_collect_targets := $(foreach i, $(B05_collect_list) , $(subst /B05_success.json,_B05_dir_ov.pdf,$(i)) ) - -B05_collect : B04_B05_mkdir $(B05_collect_targets) -$(B05_collect_targets) : $(B04_B05_collect_path)%_B05_dir_ov.pdf : $(B03_path)%/B05_success.json - cp $(B03_path)$*/B05_dir_ov.pdf $(B04_B05_collect_path)$*_B05_dir_ov.pdf - -## ---------------- B6 - -B06_targets := $(foreach i, $(B05_success) , $(subst B05_success,B06_success,$(i)) ) - -B06 : $(B06_targets) - -$(B06_targets) : $(B03_path)%/B06_success.json : $(B03_path)%/B05_success.json - python $(analysisfolder)/B06_correct_separate_var.py $* $(batch_key) $(test_flag) > log/B04/$*.txt 2>&1 - -B06_success := $(shell ls $(B03_path)*/B06_success.json) -B06_collect_path := $(plot_folder)$(hemis)/$(batch_key)/B06_correction/ -B06_collect_list := $(foreach i, $(B06_success) , $(subst $(B03_path),$(B06_collect_path),$(i) ) ) -B06_collect_targets := $(foreach i, $(B06_collect_list) , $(subst /B06_success.json,_B06_atten_ov.png,$(i)) ) - -B06_mkdir : - ${MKDIR_P} $(B06_collect_path) - -B06_collect : B06_mkdir $(B06_collect_targets) -$(B06_collect_targets) : $(B06_collect_path)%_B06_atten_ov.png : $(B03_path)%/B06_success.json - cp $(B03_path)$*/B06_correction/$*_B06_atten_ov.png $(B06_collect_path)$*_B06_atten_ov.png - - -# sync plots from batch key to gdrive folder. -sync_gdrive : - rclone sync $(plot_folder)$(hemis)/$(batch_key)/ gdrive_brown:2021_ICESat2_tracks/plots/$(hemis)/$(batch_key)/ - #rclone sync $(plot_folder)../movie_temp_files/$(key) gdrive:Projects/2020_moist_two_layer/plots/movie_temp_files/$(key)/ - -# for printing variables, used for debugging -print-% : ; @echo $* = $($*) - - - -# dummy for sending mails when target is done. -## generated logfile at log/station.poc_log.txt -# ts := $(shell /bin/date "+%Y-%m-%d--%H-%M-%S") -# -# SUBJECT = "fig-dispoint - job $(ID)" -# EMAIL3 = mhell@ucsd.edu -# mailer = /bin/mail -s $(SUBJECT) $(EMAIL3) < "$(logfile)" -# -# .PHONY : sendmail -# sendmail : -# @echo "---- Sendmail ----" >> $(logfile) -# $(mailer) diff --git a/analysis/exmpl_scripts/.DS_Store b/analysis/exmpl_scripts/.DS_Store deleted file mode 100644 index fdb81e38..00000000 Binary files a/analysis/exmpl_scripts/.DS_Store and /dev/null differ diff --git a/analysis/exmpl_scripts/.ipynb_checkpoints/02-Data_Access-checkpoint.ipynb b/analysis/exmpl_scripts/.ipynb_checkpoints/02-Data_Access-checkpoint.ipynb deleted file mode 100644 index a1cc677d..00000000 --- a/analysis/exmpl_scripts/.ipynb_checkpoints/02-Data_Access-checkpoint.ipynb +++ /dev/null @@ -1,3530 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Accessing ICESat-2 Data\n", - "\n", - "This notebook covers ICESat-2 data query and access from the NASA NSIDC DAAC (NASA National Snow and Ice Data Center Distributed Active Archive Center). Specifically, it illustrates a recommended pathway to obtain data programmatically using the Python library `icepyx`.\n", - "\n", - "#### Credits\n", - "* Notebook by: Jessica Scheick and Amy Steiker\n", - "* Source material: [NSIDC DAAC data access with icepyx](https://github.com/icesat2py/icepyx/blob/master/doc/examples/ICESat-2_DAAC_DataAccess_Example.ipynb) by Jessica Scheick\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Objectives\n", - "\n", - "* Become familiar with the background, scope, and goals of the `icepyx` library.\n", - "* Learn how to interact with `icepyx` to search, order, and download subsetted ICESat-2 data." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Motivation and Background\n", - "\n", - "On Friday, we explored various options for data access and visualization. Specifically, we spent some time using OpenAltimetry to interactively discover and plot data. But now we're ready to access the data directly and conduct our own analysis on it. This calls for a programmatic way to obtain our datasets and get them into our analysis environment. Although there are many ways to do this, here we are going to show examples using `icepyx`.\n", - "\n", - "`icepyx` is a wrapper on top of the NSIDC API, created to make programmatic access to ICESat-2 data easier. The library is open-source, community developed and driven, and was created in response to user challenges faced at the 2019 ICESat-2 Cryosphere-themed Hackweek. Under continuous development, we think you'll find `icepyx` a useful resource and encourage you to contribute your ideas, code, and feedback to enhance its use throughout the entire ICESat-2 workflow as depicted below. We hope that this year's Hackweek expands our ICESat-2 data-user community and sparks future feature development, both through hacking projects and beyond." - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "#img_path= '/home/jovyan/data-access/supporting_docs/IS2_data_access_options_d3.png'\n", - "#from IPython.display import Image\n", - "#Image(img_path) " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "## NSIDC DAAC Programmatic Data Access using icepyx\n", - "\n", - "### Import packages, including icepyx" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "data": { - "application/javascript": [ - "\n", - "(function(root) {\n", - " function now() {\n", - " return new Date();\n", - " }\n", - "\n", - " var force = true;\n", - "\n", - " if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n", - " 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}\\n.bk.alert-info hr {\\n border-top-color: #abdde5;\\n}\\n\\n.bk.alert-warning {\\n color: #856404;\\n background-color: #fff3cd;\\n border-color: #ffeeba;\\n }\\n\\n.bk.alert-warning hr {\\n border-top-color: #ffe8a1;\\n}\\n\\n.bk.alert-danger {\\n color: #721c24;\\n background-color: #f8d7da;\\n border-color: #f5c6cb;\\n}\\n.bk.alert-danger hr {\\n border-top-color: #f1b0b7;\\n}\\n\\n.bk.alert-light {\\n color: #818182;\\n background-color: #fefefe;\\n border-color: #fdfdfe;\\n }\\n.bk.alert-light hr {\\n border-top-color: #ececf6;\\n}\\n\\n.bk.alert-dark {\\n color: #1b1e21;\\n background-color: #d6d8d9;\\n border-color: #c6c8ca;\\n }\\n.bk.alert-dark hr {\\n border-top-color: #b9bbbe;\\n}\\n\\n\\n/* adjf\\u00e6l */\\n\\n.bk.alert-primary a {\\n color: #002752;\\n}\\n\\n.bk.alert-secondary a {\\n color: #202326;\\n}\\n\\n\\n.bk.alert-success a {\\n color: #0b2e13;\\n}\\n\\n\\n.bk.alert-info a {\\n color: #062c33;\\n}\\n\\n\\n.bk.alert-warning a {\\n color: #533f03;\\n}\\n\\n\\n.bk.alert-danger a {\\n color: #491217;\\n}\\n\\n.bk.alert-light a {\\n color: #686868;\\n}\\n\\n.bk.alert-dark a {\\n color: #040505;\\n}\");\n", - " },\n", - " function(Bokeh) {\n", - " inject_raw_css(\".bk.card {\\n border: 1px solid rgba(0,0,0,.125);\\n border-radius: 0.25rem;\\n}\\n.bk.accordion {\\n border: 1px solid rgba(0,0,0,.125);\\n}\\n.bk.card-header {\\n align-items: center;\\n background-color: rgba(0, 0, 0, 0.03);\\n border-radius: 0.25rem;\\n display: inline-flex;\\n justify-content: start;\\n width: 100%;\\n}\\n.bk.accordion-header {\\n align-items: center;\\n background-color: rgba(0, 0, 0, 0.03);\\n border-radius: 0;\\n display: flex;\\n justify-content: start;\\n width: 100%;\\n}\\n.bk.card-button {\\n background-color: transparent;\\n margin-left: 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 padding-right: 1.5em !important;\\n overflow-wrap: break-word;\\n}\\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", - " },\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", - " },\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 margin-left: 1rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty:after {\\n display: none;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-object:after {\\n content: \\\"No 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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", - " 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", - " var define;\n", - " var parent_require = typeof require 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a=t(1);a.__exportStar(t(6),o),a.__exportStar(t(35),o)},\n", - " function _(e,t,s,o,n){o();const r=e(1),i=e(7),l=e(3),_=e(19),a=e(264),c=e(14),d=e(30),h=e(15),f=e(17),u=e(31),m=e(9),g=e(13),v=r.__importStar(e(132)),w=e(26),p=e(8),b=e(319),y=e(130),k=e(53),M=e(394),j=e(35);class S{constructor(e){this.document=e,this.session=null,this.subscribed_models=new Set}send_event(e){const t=new j.MessageSentEvent(this.document,\"bokeh_event\",e.to_json());this.document._trigger_on_change(t)}trigger(e){for(const t of this.subscribed_models)null!=e.origin&&e.origin!=t||t._process_event(e)}}s.EventManager=S,S.__name__=\"EventManager\",s.documents=[],s.DEFAULT_TITLE=\"Bokeh Application\";class E{constructor(e){var t;s.documents.push(this),this._init_timestamp=Date.now(),this._resolver=null!==(t=null==e?void 0:e.resolver)&&void 0!==t?t:new i.ModelResolver,this._title=s.DEFAULT_TITLE,this._roots=[],this._all_models=new Map,this._all_models_freeze_count=0,this._callbacks=new Map,this._message_callbacks=new Map,this.event_manager=new S(this),this.idle=new h.Signal0(this,\"idle\"),this._idle_roots=new WeakMap,this._interactive_timestamp=null,this._interactive_plot=null}get layoutables(){return this._roots.filter((e=>e instanceof b.LayoutDOM))}get is_idle(){for(const e of 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){null==this._interactive_plot&&(this._interactive_plot=e,this._interactive_plot.trigger_event(new a.LODStart)),this._interactive_timestamp=Date.now()}interactive_stop(){null!=this._interactive_plot&&this._interactive_plot.trigger_event(new a.LODEnd),this._interactive_plot=null,this._interactive_timestamp=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=m.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=v.union(e,t.references());const t=new Set(this._all_models.values()),s=v.difference(t,e),o=v.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: ${e}`),!m.includes(this._roots,e)){this._push_all_models_freeze();try{this._roots.push(e)}finally{this._pop_all_models_freeze()}this._trigger_on_change(new j.RootAddedEvent(this,e,t))}}remove_root(e,t){const s=this._roots.indexOf(e);if(!(s<0)){this._push_all_models_freeze();try{this._roots.splice(s,1)}finally{this._pop_all_models_freeze()}this._trigger_on_change(new j.RootRemovedEvent(this,e,t))}}title(){return this._title}set_title(e,t){e!==this._title&&(this._title=e,this._trigger_on_change(new j.TitleChangedEvent(this,e,t)))}get_model_by_id(e){var t;return null!==(t=this._all_models.get(e))&&void 0!==t?t:null}get_model_by_name(e){const t=[];for(const s of this._all_models.values())s instanceof k.Model&&s.name==e&&t.push(s);switch(t.length){case 0:return null;case 1:return t[0];default:throw new Error(`Multiple models are named '${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 j.DocumentEventBatch)for(const s of e.events)t(s);else t(e)}_notify_change(e,t,s,o,n){this._trigger_on_change(new j.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 r of e){const e=r.id,i=r.type,l=null!==(o=r.attributes)&&void 0!==o?o:{};let _=t.get(e);null==_&&(_=E._instantiate_object(e,i,l,s),null!=r.subtype&&_.set_subtype(r.subtype)),n.set(_.id,_)}return n}static _resolve_refs(e,t,s,o){function n(e){var r;if(f.is_ref(e)){const o=null!==(r=t.get(e.id))&&void 0!==r?r:s.get(e.id);if(null!=o)return o;throw new Error(`reference ${JSON.stringify(e)} isn't known (not in Document?)`)}return u.is_NDArray_ref(e)?u.decode_NDArray(e,o):p.isArray(e)?function(e){const t=[];for(const s of e)t.push(n(s));return t}(e):p.isPlainObject(e)?function(e){const t={};for(const[s,o]of g.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:r,attributes:i}of e){const e=!t.has(r),l=e?s.get(r):t.get(r),_=E._resolve_refs(i,t,s,o);l.setv(_,{silent:!0}),n.set(r,{instance:l,is_new:e})}const r=[],i=new Set;function l(e){if(e instanceof c.HasProps){if(n.has(e.id)&&!i.has(e.id)){i.add(e.id);const{instance:t,is_new:s}=n.get(e.id),{attributes:o}=t;for(const e of g.values(o))l(e);s&&(t.finalize(),r.push(t))}}else if(p.isArray(e))for(const t of e)l(t);else if(p.isPlainObject(e))for(const t of g.values(e))l(t)}for(const e of n.values())l(e.instance);for(const e of r)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 r={kind:\"ModelChanged\",model:{id:e.id},attr:t,new:s};return c.HasProps._json_record_references(o,s,n,{recursive:!0}),r}return null}static _events_to_sync_objects(e,t,s,o){const n=Object.keys(e.attributes),r=Object.keys(t.attributes),i=m.difference(n,r),l=m.difference(r,n),a=m.intersection(n,r),c=[];for(const e of i)_.logger.warn(`Server sent key ${e} but we don't seem to have it in our JSON`);for(const n of l){const r=t.attributes[n];c.push(E._event_for_attribute_change(e,n,r,s,o))}for(const n of a){const r=e.attributes[n],i=t.attributes[n];null==r&&null==i||(null==r||null==i?c.push(E._event_for_attribute_change(e,n,i,s,o)):w.is_equal(r,i)||c.push(E._event_for_attribute_change(e,n,i,s,o)))}return c.filter((e=>null!=e))}static _compute_patch_since_json(e,t){const s=t.to_json(!1);function o(e){const t=new Map;for(const s of e.roots.references)t.set(s.id,s);return t}const n=o(e),r=new Map,i=[];for(const t of e.roots.root_ids)r.set(t,n.get(t)),i.push(t);const l=o(s),_=new Map,a=[];for(const e of s.roots.root_ids)_.set(e,l.get(e)),a.push(e);if(i.sort(),a.sort(),m.difference(i,a).length>0||m.difference(a,i).length>0)throw new Error(\"Not implemented: computing add/remove of document roots\");const c=new Set;let h=[];for(const e of t._all_models.keys())if(n.has(e)){const s=E._events_to_sync_objects(n.get(e),l.get(e),t,c);h=h.concat(s)}const f=new d.Serializer({include_defaults:!1});return f.to_serializable([...c]),{references:[...f.definitions],events:h}}to_json_string(e=!0){return JSON.stringify(this.to_json(e))}to_json(e=!0){const t=new d.Serializer({include_defaults:e}),s=t.to_serializable(this._roots);return{version:l.version,title:this._title,roots:{root_ids:s.map((e=>e.id)),references:[...t.definitions]}}}static from_json_string(e){const t=JSON.parse(e);return E.from_json(t)}static from_json(e){_.logger.debug(\"Creating Document from JSON\");const t=e.version,s=-1!==t.indexOf(\"+\")||-1!==t.indexOf(\"-\"),o=`Library versions: JS (${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 i.ModelResolver;null!=e.defs&&M.resolve_defs(e.defs,n);const r=e.roots,a=r.root_ids,c=r.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});for(const e of a){const t=d.get(e);null!=t&&h.add_root(t)}return 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,r=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)r.set(t,s);else if(!r.has(t))throw _.logger.warn(`Got an event for unknown model ${e.model}\"`),new Error(\"event model wasn't known\");break}}const i=new Map(this._all_models),l=new Map;for(const[e,t]of r)i.has(e)||l.set(e,t);E._initialize_references_json(o,i,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,i,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 r=e.attr,_=E._resolve_refs(e.new,i,l,t);n.setv({[r]:_},{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 r=E._resolve_refs(e.new,new Map,new Map,t);if(null!=e.cols)for(const e in n.data)e in r||(r[e]=n.data[e]);n.setv({data:r},{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 y.ColumnDataSource))throw new Error(\"Cannot stream to non-ColumnDataSource\");const n=e.data,r=e.rollover;o.stream(n,r,s);break}case\"ColumnsPatched\":{const t=e.column_source.id,o=this._all_models.get(t);if(null==o)throw new Error(`Cannot patch ${t} which is not in the document`);if(!(o instanceof y.ColumnDataSource))throw new Error(\"Cannot patch non-ColumnDataSource\");const n=e.patches;o.patch(n,s);break}case\"RootAdded\":{const t=e.model.id,o=r.get(t);this.add_root(o,s);break}case\"RootRemoved\":{const t=e.model.id,o=r.get(t);this.remove_root(o,s);break}case\"TitleChanged\":this.set_title(e.title,s);break;default:throw new Error(\"Unknown patch event \"+JSON.stringify(e))}}}s.Document=E,E.__name__=\"Document\"},\n", - " function _(e,o,s,r,t){r();const l=e(1),d=e(8),i=e(13),n=e(14);s.overrides={};const a=new Map;s.Models=e=>{const o=s.Models.get(e);if(null!=o)return o;throw new Error(`Model '${e}' does not exist. This could be due to a widget or a custom model not being registered before first usage.`)},s.Models.get=e=>{var o;return null!==(o=s.overrides[e])&&void 0!==o?o:a.get(e)},s.Models.register=(e,o)=>{s.overrides[e]=o},s.Models.unregister=e=>{delete s.overrides[e]},s.Models.register_models=(e,o=!1,s)=>{var r;if(null!=e)for(const t of d.isArray(e)?e:i.values(e))if(r=t,d.isObject(r)&&r.prototype instanceof n.HasProps){const e=t.__qualified__;o||!a.has(e)?a.set(e,t):null!=s?s(e):console.warn(`Model '${e}' was already registered`)}},s.register_models=s.Models.register_models,s.Models.registered_names=()=>[...a.keys()];class u{constructor(){this._known_models=new Map}get(e,o){var r;const t=null!==(r=s.Models.get(e))&&void 0!==r?r:this._known_models.get(e);if(null!=t)return t;if(void 0!==o)return o;throw new Error(`Model '${e}' does not exist. This could be due to a widget or a custom model not being registered before first usage.`)}register(e){const o=e.__qualified__;null==this.get(o,null)?this._known_models.set(o,e):console.warn(`Model '${o}' was already registered with this resolver`)}}s.ModelResolver=u,u.__name__=\"ModelResolver\";const _=l.__importStar(e(38));s.register_models(_)},\n", - " function _(n,r,t,e,i){e();\n", - " // (c) 2009-2015 Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors\n", - " // Underscore may be freely distributed under the MIT license.\n", - " const o=n(9),u=Object.prototype.toString;function c(n){return!0===n||!1===n||\"[object Boolean]\"===u.call(n)}function f(n){return\"[object Number]\"===u.call(n)}function a(n){return\"[object String]\"===u.call(n)}function l(n){const r=typeof n;return\"function\"===r||\"object\"===r&&!!n}function s(n){return l(n)&&void 0!==n[Symbol.iterator]}t.isBoolean=c,t.isNumber=f,t.isInteger=function(n){return f(n)&&Number.isInteger(n)},t.isString=a,t.isPrimitive=function(n){return null===n||c(n)||f(n)||a(n)},t.isFunction=function(n){return\"[object Function]\"===u.call(n)},t.isArray=function(n){return Array.isArray(n)},t.isArrayOf=function(n,r){return o.every(n,r)},t.isArrayableOf=function(n,r){for(let t=0,e=n.length;t0,\"'step' must be a positive number\"),null==t&&(t=n,n=0);const{max:r,ceil:o,abs:i}=Math,c=n<=t?e:-e,f=r(o(i(t-n)/e),0),s=new Array(f);for(let t=0;t=0?t:n.length+t]},e.zip=function(...n){if(0==n.length)return[];const t=c.min(n.map((n=>n.length))),e=n.length,r=new Array(t);for(let o=0;on.length))),r=Array(e);for(let n=0;nn[t]))},e.argmax=function(n){return c.max_by(m(n.length),(t=>n[t]))},e.sort_by=function(n,t){const e=n.map(((n,e)=>({value:n,index:e,key:t(n)})));return e.sort(((n,t)=>{const e=n.key,r=t.key;if(e!==r){if(e>r||void 0===e)return 1;if(en.value))},e.uniq=function(n){const t=new Set;for(const e of n)t.add(e);return[...t]},e.uniq_by=function(n,t){const 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Math.atan2(r[1]-n[1],r[0]-n[0])},t.radians=function(n){return n*(u/180)},t.degrees=function(n){return n/(u/180)},t.resolve_angle=function(n,r){return-i(r)*n},t.to_radians_coeff=i,t.rnorm=function(n,r){let t,e;for(;t=f(),e=f(),e=(2*e-1)*Math.sqrt(1/Math.E*2),!(-4*t*t*Math.log(t)>=e*e););let o=e/t;return o=n+r*o,o},t.clamp=function(n,r,t){return nt?t:n},t.log=function(n,r=Math.E){return Math.log(n)/Math.log(r)}},\n", - " function _(r,n,e,o,s){o();class t extends Error{}e.AssertionError=t,t.__name__=\"AssertionError\",e.assert=function(r,n){if(!(!0===r||!1!==r&&r()))throw new t(null!=n?n:\"Assertion failed\")},e.unreachable=function(){throw new Error(\"unreachable code\")}},\n", - " function _(n,t,e,r,o){r();const i=n(10);function l(n,t,e,...r){const o=n.length;t<0&&(t+=o),t<0?t=0:t>o&&(t=o),null==e||e>o-t?e=o-t:e<0&&(e=0);const i=o-e+r.length,l=new n.constructor(i);let u=0;for(;u0?0:r-1;for(;o>=0&&ot[t.length-1])return t.length;let e=0,r=t.length-1;for(;r-e!=1;){const 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Object.keys(t).length}n.keys=Object.keys,n.values=Object.values,n.entries=Object.entries,n.extend=Object.assign,n.clone=function(t){return Object.assign({},t)},n.merge=function(t,e){const n=Object.create(Object.prototype),c=s.concat([Object.keys(t),Object.keys(e)]);for(const o of c){const c=r.call(t,o)?t[o]:[],u=r.call(e,o)?e[o]:[];n[o]=s.union(c,u)}return n},n.size=u,n.isEmpty=function(t){return 0==u(t)},n.to_object=function(t){const e={};for(const[n,c]of t)e[n]=c;return e}},\n", - " function _(t,e,s,n,r){n();const i=t(1),o=t(15),c=t(17),a=i.__importStar(t(18)),_=i.__importStar(t(21)),h=t(34),u=t(13),l=t(8),f=t(26),p=t(30),d=t(35),g=t(26),y=t(36),v=t(37),m=i.__importStar(t(21));class b extends(o.Signalable()){constructor(t={}){var e,s;super(),this._subtype=void 0,this.document=null,this.destroyed=new o.Signal0(this,\"destroyed\"),this.change=new o.Signal0(this,\"change\"),this.transformchange=new o.Signal0(this,\"transformchange\"),this.exprchange=new o.Signal0(this,\"exprchange\"),this.properties={},this._pending=!1,this._changing=!1;const n=t instanceof Map?t.get.bind(t):e=>t[e];this.id=null!==(e=n(\"id\"))&&void 0!==e?e:h.uniqueId();for(const[t,{type:e,default_value:s,options:r}]of u.entries(this._props)){let i;e instanceof a.PropertyAlias?Object.defineProperty(this.properties,t,{get:()=>this.properties[e.attr],configurable:!1,enumerable:!1}):(i=e instanceof _.Kind?new a.PrimitiveProperty(this,t,e,s,n(t),r):new e(this,t,_.Any,s,n(t),r),this.properties[t]=i)}null!==(s=n(\"__deferred__\"))&&void 0!==s&&s||(this.finalize(),this.connect_signals())}get is_syncable(){return!0}set type(t){console.warn(\"prototype.type = 'ModelName' is deprecated, use static __name__ instead\"),this.constructor.__name__=t}get type(){return this.constructor.__qualified__}static get __qualified__(){const{__module__:t,__name__:e}=this;return null!=t?`${t}.${e}`:e}static get[Symbol.toStringTag](){return this.__name__}static init_HasProps(){this.prototype._props={},this.prototype._mixins=[]}static _fix_default(t,e){if(void 0===t||l.isFunction(t))return t;if(l.isPrimitive(t))return()=>t;{const e=new v.Cloner;return()=>e.clone(t)}}static define(t){for(const[e,s]of u.entries(l.isFunction(t)?t(m):t)){if(null!=this.prototype._props[e])throw new Error(`attempted to redefine property '${this.prototype.type}.${e}'`);if(null!=this.prototype[e])throw new Error(`attempted to redefine attribute '${this.prototype.type}.${e}'`);Object.defineProperty(this.prototype,e,{get(){return this.properties[e].get_value()},set(t){return this.setv({[e]:t}),this},configurable:!1,enumerable:!0});const[t,n,r={}]=s,i={type:t,default_value:this._fix_default(n,e),options:r},o=Object.assign({},this.prototype._props);o[e]=i,this.prototype._props=o}}static internal(t){const e={};for(const[s,n]of u.entries(l.isFunction(t)?t(m):t)){const[t,r,i={}]=n;e[s]=[t,r,Object.assign(Object.assign({},i),{internal:!0})]}this.define(e)}static 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d{constructor(e,t,s){super(e),this.column_source=t,this.patches=s}[i.serialize](e){return{kind:\"ColumnsPatched\",column_source:this.column_source,patches:this.patches}}}s.ColumnsPatchedEvent=c,c.__name__=\"ColumnsPatchedEvent\";class h extends d{constructor(e,t,s,n){super(e),this.column_source=t,this.data=s,this.rollover=n}[i.serialize](e){return{kind:\"ColumnsStreamed\",column_source:this.column_source,data:this.data,rollover:this.rollover}}}s.ColumnsStreamedEvent=h,h.__name__=\"ColumnsStreamedEvent\";class m extends d{constructor(e,t,s){super(e),this.title=t,this.setter_id=s}[i.serialize](e){return{kind:\"TitleChanged\",title:this.title}}}s.TitleChangedEvent=m,m.__name__=\"TitleChangedEvent\";class u extends d{constructor(e,t,s){super(e),this.model=t,this.setter_id=s}[i.serialize](e){return{kind:\"RootAdded\",model:e.to_serializable(this.model)}}}s.RootAddedEvent=u,u.__name__=\"RootAddedEvent\";class v extends 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null==this.layout?t:Object.assign(Object.assign({},t),{bbox:this.layout.bbox.box})}}i.AnnotationView=a,a.__name__=\"AnnotationView\";class l extends o.Renderer{constructor(t){super(t)}static init_Annotation(){this.override({level:\"annotation\"})}}i.Annotation=l,l.__name__=\"Annotation\",l.init_Annotation()},\n", - " function _(e,i,t,n,s){n();const r=e(1),a=e(42),_=r.__importStar(e(45)),o=e(20),l=e(53),d=e(54);class h extends a.View{get coordinates(){const{_coordinates:e}=this;return null!=e?e:this._coordinates=this._initialize_coordinates()}initialize(){super.initialize(),this.visuals=new _.Visuals(this),this.needs_webgl_blit=!1}connect_signals(){super.connect_signals();const{x_range_name:e,y_range_name:i}=this.model.properties;this.on_change([e,i],(()=>this._initialize_coordinates()))}_initialize_coordinates(){const{x_range_name:e,y_range_name:i}=this.model,{frame:t}=this.plot_view,n=t.x_scales.get(e),s=t.y_scales.get(i);return new d.CoordinateTransform(n,s)}get plot_view(){return 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null},n.extents=u,n.size=f,n.scroll_size=function(t){return{width:Math.ceil(t.scrollWidth),height:Math.ceil(t.scrollHeight)}},n.outer_size=function(t){const{margin:{left:e,right:n,top:i,bottom:o}}=u(t),{width:s,height:l}=f(t);return{width:Math.ceil(s+e+n),height:Math.ceil(l+i+o)}},n.content_size=function(t){const{left:e,top:n}=t.getBoundingClientRect(),{padding:i}=u(t);let o=0,s=0;for(const l of t.children){const 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;z-index:0;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 l=e(1),n=e(46);c(\"Line\",n.Line),c(\"LineScalar\",n.LineScalar),c(\"LineVector\",n.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=l.__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 n.Line(e,t);case u.LineScalar:return new n.LineScalar(e,t);case u.LineVector:return new n.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\")}})();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 n=e(1),a=e(47),o=n.__importStar(e(48)),r=e(22),_=e(8);function h(e){if(_.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=h;class c extends a.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)}set_value(e){const t=this.line_color.get_value(),i=this.line_alpha.get_value();e.strokeStyle=r.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=h(this.line_dash.get_value()),e.lineDashOffset=this.line_dash_offset.get_value()}}i.Line=c,c.__name__=\"Line\";class u extends a.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)}set_value(e){const t=this.line_color.value,i=this.line_alpha.value;e.strokeStyle=r.color2css(t,i),e.lineWidth=this.line_width.value,e.lineJoin=this.line_join.value,e.lineCap=this.line_cap.value,e.lineDash=h(this.line_dash.value),e.lineDashOffset=this.line_dash_offset.value}}i.LineScalar=u,u.__name__=\"LineScalar\";class d extends a.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}set_vectorize(e,t){const i=this.line_color.get(t),l=this.line_alpha.get(t),s=this.line_width.get(t),n=this.line_join.get(t),a=this.line_cap.get(t),o=this.line_dash.get(t),_=this.line_dash_offset.get(t);e.strokeStyle=r.color2css(i,l),e.lineWidth=s,e.lineJoin=n,e.lineCap=a,e.lineDash=h(o),e.lineDashOffset=_}}i.LineVector=d,d.__name__=\"LineVector\",c.prototype.type=\"line\",c.prototype.attrs=Object.keys(o.Line),u.prototype.type=\"line\",u.prototype.attrs=Object.keys(o.LineScalar),d.prototype.type=\"line\",d.prototype.attrs=Object.keys(o.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)}this.update()}*[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=r.__importStar(e(18)),n=e(20),i=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 _.keys(t)){const t=`${l}${r}`,o=e[t];c[a?t:r]=o}return c}},\n", - " function _(l,t,e,i,s){i();const o=l(1),a=l(47),r=o.__importStar(l(48)),c=l(22);class _ extends a.VisualProperties{get doit(){const l=this.fill_color.get_value(),t=this.fill_alpha.get_value();return!(null==l||0==t)}set_value(l){const t=this.fill_color.get_value(),e=this.fill_alpha.get_value();l.fillStyle=c.color2css(t,e)}}e.Fill=_,_.__name__=\"Fill\";class n extends a.VisualUniforms{get doit(){const l=this.fill_color.value,t=this.fill_alpha.value;return!(0==l||0==t)}set_value(l){const t=this.fill_color.value,e=this.fill_alpha.value;l.fillStyle=c.color2css(t,e)}}e.FillScalar=n,n.__name__=\"FillScalar\";class p extends a.VisualUniforms{get doit(){const{fill_color:l}=this;if(l.is_Scalar()&&0==l.value)return!1;const{fill_alpha:t}=this;return!t.is_Scalar()||0!=t.value}set_vectorize(l,t){const e=this.fill_color.get(t),i=this.fill_alpha.get(t);l.fillStyle=c.color2css(e,i)}}e.FillVector=p,p.__name__=\"FillVector\",_.prototype.type=\"fill\",_.prototype.attrs=Object.keys(r.Fill),n.prototype.type=\"fill\",n.prototype.attrs=Object.keys(r.FillScalar),p.prototype.type=\"fill\",p.prototype.attrs=Object.keys(r.FillVector)},\n", - " function _(t,e,s,l,a){l();const o=t(1),_=t(47),i=o.__importStar(t(48)),n=t(22);class x extends _.VisualProperties{get doit(){const t=this.text_color.get_value(),e=this.text_alpha.get_value();return!(null==t||0==e)}set_value(t){const e=this.text_color.get_value(),s=this.text_alpha.get_value();t.fillStyle=n.color2css(e,s),t.font=this.font_value(),t.textAlign=this.text_align.get_value(),t.textBaseline=this.text_baseline.get_value()}font_value(){return`${this.text_font_style.get_value()} ${this.text_font_size.get_value()} ${this.text_font.get_value()}`}}s.Text=x,x.__name__=\"Text\";class r extends _.VisualUniforms{get doit(){const t=this.text_color.value,e=this.text_alpha.value;return!(0==t||0==e)}set_value(t){const e=this.text_color.value,s=this.text_alpha.value,l=this.font_value(),a=this.text_align.value,o=this.text_baseline.value;t.fillStyle=n.color2css(e,s),t.font=l,t.textAlign=a,t.textBaseline=o}font_value(){return`${this.text_font_style.value} ${this.text_font_size.value} ${this.text_font.value}`}}s.TextScalar=r,r.__name__=\"TextScalar\";class u extends _.VisualUniforms{get doit(){const{text_color:t}=this;if(t.is_Scalar()&&0==t.value)return!1;const{text_alpha:e}=this;return!e.is_Scalar()||0!=e.value}set_vectorize(t,e){const s=this.text_color.get(e),l=this.text_alpha.get(e),a=this.font_value(e),o=this.text_align.get(e),_=this.text_baseline.get(e);t.fillStyle=n.color2css(s,l),t.font=a,t.textAlign=o,t.textBaseline=_}font_value(t){return`${this.text_font_style.get(t)} ${this.text_font_size.get(t)} ${this.text_font.get(t)}`}}s.TextVector=u,u.__name__=\"TextVector\",x.prototype.type=\"text\",x.prototype.attrs=Object.keys(i.Text),r.prototype.type=\"text\",r.prototype.attrs=Object.keys(i.TextScalar),u.prototype.type=\"text\",u.prototype.attrs=Object.keys(i.TextVector)},\n", - " function _(t,e,a,h,r){h();const i=t(1),s=t(47),c=t(52),n=i.__importStar(t(18)),_=i.__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(),h=this.hatch_pattern.get_value(),r=this.hatch_weight.get_value(),i=t=>{this._hatch_image=t},s=this.hatch_extra.get_value()[h];if(null!=s){const h=s.get_pattern(t,e,a,r);if(h instanceof Promise){const{_update_iteration:t}=this;h.then((e=>{this._update_iteration==t&&(i(e),this.obj.request_render())}))}else i(h)}else{const s=this.obj.canvas.create_layer(),n=c.get_pattern(s,h,t,e,a,r);i(n)}}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)}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 n.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,h=this.hatch_scale.value,r=this.hatch_pattern.value,i=this.hatch_weight.value,s=e=>{this._hatch_image=new n.UniformScalar(e,t)},_=this.hatch_extra.value[r];if(null!=_){const t=_.get_pattern(e,a,h,i);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(),n=c.get_pattern(t,r,e,a,h,i);s(n)}}get doit(){return this._static_doit}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 n.UniformScalar(null,t),this._static_doit=this._compute_static_doit(),!this._static_doit)return;const e=(t,e,a,h,r,i)=>{const s=this.hatch_extra.value[t];if(null!=s){const t=s.get_pattern(e,a,h,r);if(t instanceof Promise){const{_update_iteration:e}=this;t.then((t=>{this._update_iteration==e&&(i(t),this.obj.request_render())}))}else i(t)}else{const s=this.obj.canvas.create_layer(),n=c.get_pattern(s,t,e,a,h,r);i(n)}};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,h=this.hatch_alpha.value,r=this.hatch_scale.value;e(this.hatch_pattern.value,a,h,r,this.hatch_weight.value,(e=>{this._hatch_image=new n.UniformScalar(e,t)}))}else{const a=new Array(t);a.fill(null),this._hatch_image=new n.UniformVector(a);for(let h=0;h{a[h]=t}))}}}get doit(){return this._static_doit}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=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){n();const a=e(14),i=e(8),r=e(13),l=e(19);class o extends a.HasProps{constructor(e){super(e)}get is_syncable(){return this.syncable}static init_Model(){this.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]})))}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):l.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 r.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(){r.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(i.isString(e))return[...this.references()].filter((t=>t instanceof o&&t.name===e));if(e.prototype instanceof a.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=o,o.__name__=\"Model\",o.init_Model()},\n", - " function _(s,e,_,t,a){t();class r{constructor(s,e){this.x_scale=s,this.y_scale=e,this.x_range=this.x_scale.source_range,this.y_range=this.y_scale.source_range,this.ranges=[this.x_range,this.y_range],this.scales=[this.x_scale,this.y_scale]}map_to_screen(s,e){return[this.x_scale.v_compute(s),this.y_scale.v_compute(e)]}map_from_screen(s,e){return[this.x_scale.v_invert(s),this.y_scale.v_invert(e)]}}_.CoordinateTransform=r,r.__name__=\"CoordinateTransform\"},\n", - " function _(t,e,s,a,i){a();const n=t(1),_=t(56),r=t(133),o=t(48),l=t(20),d=t(24),h=t(122),c=n.__importStar(t(18)),u=t(10);class v extends _.DataAnnotationView{async lazy_initialize(){await super.lazy_initialize();const{start:t,end:e}=this.model;null!=t&&(this.start=await h.build_view(t,{parent:this})),null!=e&&(this.end=await h.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 d.ScreenArray(n);for(let t=0;t({x_start:[c.XCoordinateSpec,{field:\"x_start\"}],y_start:[c.YCoordinateSpec,{field:\"y_start\"}],start_units:[l.SpatialUnits,\"data\"],start:[e(t(r.ArrowHead)),null],x_end:[c.XCoordinateSpec,{field:\"x_end\"}],y_end:[c.YCoordinateSpec,{field:\"y_end\"}],end_units:[l.SpatialUnits,\"data\"],end:[e(t(r.ArrowHead)),()=>new r.OpenHead]})))}}s.Arrow=p,p.__name__=\"Arrow\",p.init_Arrow()},\n", - " function _(t,n,s,a,e){a();const i=t(1),o=t(40),c=t(57),_=t(130),r=t(65),l=i.__importStar(t(18));class h extends o.AnnotationView{constructor(){super(...arguments),this._initial_set_data=!1}connect_signals(){super.connect_signals();const t=()=>{this.set_data(this.model.source),this.request_render()};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)}set_data(t){const n=this;for(const s of this.model)if(s instanceof l.VectorSpec||s instanceof l.ScalarSpec)if(s instanceof l.BaseCoordinateSpec){const a=s.array(t);n[`_${s.attr}`]=a}else{const a=s.uniform(t);n[`${s.attr}`]=a}this.plot_model.use_map&&(null!=n._x&&r.inplace.project_xy(n._x,n._y),null!=n._xs&&r.inplace.project_xsys(n._xs,n._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)}}s.DataAnnotationView=h,h.__name__=\"DataAnnotationView\";class u extends o.Annotation{constructor(t){super(t)}static init_DataAnnotation(){this.define((({Ref:t})=>({source:[t(c.ColumnarDataSource),()=>new _.ColumnDataSource]})))}}s.DataAnnotation=u,u.__name__=\"DataAnnotation\",u.init_DataAnnotation()},\n", - " function _(t,e,n,a,i){a();const s=t(58),r=t(15),l=t(19),o=t(60),c=t(8),u=t(9),h=t(13),g=t(59),d=t(129),_=t(29);class m extends s.DataSource{constructor(t){super(t)}get_array(t){let e=this.data[t];return null==e?this.data[t]=e=[]:c.isArray(e)||(this.data[t]=e=Array.from(e)),e}static init_ColumnarDataSource(){this.define((({Ref:t})=>({selection_policy:[t(d.SelectionPolicy),()=>new d.UnionRenderers]}))),this.internal((({AnyRef:t})=>({selection_manager:[t(),t=>new o.SelectionManager({source:t})],inspected:[t(),()=>new g.Selection]})))}initialize(){super.initialize(),this._select=new r.Signal0(this,\"select\"),this.inspect=new r.Signal(this,\"inspect\"),this.streaming=new r.Signal0(this,\"streaming\"),this.patching=new r.Signal(this,\"patching\")}get_column(t){const e=this.data[t];return null!=e?e:null}columns(){return h.keys(this.data)}get_length(t=!0){const e=u.uniq(h.values(this.data).map((t=>_.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 l.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=m,m.__name__=\"ColumnarDataSource\",m.init_ColumnarDataSource()},\n", - " function _(e,t,c,n,a){n();const o=e(53),i=e(59);class s extends o.Model{constructor(e){super(e)}static init_DataSource(){this.define((({Ref:e})=>({selected:[e(i.Selection),()=>new i.Selection]})))}}c.DataSource=s,s.__name__=\"DataSource\",s.init_DataSource()},\n", - " function _(i,e,s,t,n){t();const l=i(53),c=i(9),h=i(13);class d extends l.Model{constructor(i){super(i)}get_view(){return this.view}static init_Selection(){this.define((({Int:i,Array:e,Dict:s})=>({indices:[e(i),[]],line_indices:[e(i),[]],multiline_indices:[s(e(i)),{}]}))),this.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})),[]]})))}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.selected_glyphs=i.selected_glyphs,this.view=i.view,this.multiline_indices=i.multiline_indices,this.image_indices=i.image_indices;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.view=null,this.selected_glyphs=[]}is_empty(){return 0==this.indices.length&&0==this.line_indices.length&&0==this.image_indices.length}update_through_union(i){this.indices=c.union(this.indices,i.indices),this.selected_glyphs=c.union(i.selected_glyphs,this.selected_glyphs),this.line_indices=c.union(i.line_indices,this.line_indices),this.view=i.view,this.multiline_indices=h.merge(i.multiline_indices,this.multiline_indices)}update_through_intersection(i){this.indices=c.intersection(this.indices,i.indices),this.selected_glyphs=c.union(i.selected_glyphs,this.selected_glyphs),this.line_indices=c.union(i.line_indices,this.line_indices),this.view=i.view,this.multiline_indices=h.merge(i.multiline_indices,this.multiline_indices)}update_through_subtraction(i){this.indices=c.difference(this.indices,i.indices),this.selected_glyphs=c.union(i.selected_glyphs,this.selected_glyphs),this.line_indices=c.union(i.line_indices,this.line_indices),this.view=i.view,this.multiline_indices=h.merge(i.multiline_indices,this.multiline_indices)}}s.Selection=d,d.__name__=\"Selection\",d.init_Selection()},\n", - " function _(e,t,s,n,i){n();const o=e(14),c=e(59),r=e(61),l=e(123);class p extends o.HasProps{constructor(e){super(e),this.inspectors=new Map}static init_SelectionManager(){this.internal((({AnyRef:e})=>({source:[e()]})))}select(e,t,s,n=\"replace\"){const i=[],o=[];for(const t of e)t instanceof r.GlyphRendererView?i.push(t):t instanceof l.GraphRendererView&&o.push(t);let c=!1;for(const e of o){const i=e.model.selection_policy.hit_test(t,e);c=c||e.model.selection_policy.do_selection(i,e.model,s,n)}if(i.length>0){const e=this.source.selection_policy.hit_test(t,i);c=c||this.source.selection_policy.do_selection(e,this.source,s,n)}return c}inspect(e,t){let s=!1;if(e instanceof r.GlyphRendererView){const n=e.hit_test(t);if(null!=n){s=!n.is_empty();const i=this.get_or_create_inspector(e.model);i.update(n,!0,\"replace\"),this.source.setv({inspected:i},{silent:!0}),this.source.inspect.emit([e.model,{geometry:t}])}}else if(e instanceof l.GraphRendererView){const n=e.model.inspection_policy.hit_test(t,e);s=s||e.model.inspection_policy.do_inspection(n,t,e,!1,\"replace\")}return s}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 c.Selection,this.inspectors.set(e,t)),t}}s.SelectionManager=p,p.__name__=\"SelectionManager\",p.init_SelectionManager()},\n", - " function _(e,t,i,s,l){s();const h=e(62),n=e(63),o=e(116),a=e(117),c=e(119),d=e(98),_=e(57),r=e(120),p=e(24),g=e(12),u=e(9),y=e(13),m=e(122),v=e(104),f={fill:{},line:{}},w={fill:{fill_alpha:.3,fill_color:\"grey\"},line:{line_alpha:.3,line_color:\"grey\"}},b={fill:{fill_alpha:.2},line:{}};class V extends h.DataRendererView{get glyph_view(){return this.glyph}async lazy_initialize(){var e,t;await super.lazy_initialize();const i=this.model.glyph;this.glyph=await this.build_glyph_view(i);const s=\"fill\"in this.glyph.visuals,l=\"line\"in this.glyph.visuals,h=Object.assign({},i.attributes);function n(e){const t=y.clone(h);return s&&y.extend(t,e.fill),l&&y.extend(t,e.line),new i.constructor(t)}delete h.id;let{selection_glyph:o}=this.model;null==o?o=n({fill:{},line:{}}):\"auto\"==o&&(o=n(f)),this.selection_glyph=await this.build_glyph_view(o);let{nonselection_glyph:a}=this.model;null==a?a=n({fill:{},line:{}}):\"auto\"==a&&(a=n(b)),this.nonselection_glyph=await this.build_glyph_view(a);const{hover_glyph:c}=this.model;null!=c&&(this.hover_glyph=await this.build_glyph_view(c));const{muted_glyph:d}=this.model;null!=d&&(this.muted_glyph=await this.build_glyph_view(d));const _=n(w);this.decimated_glyph=await this.build_glyph_view(_),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),null===(t=this.muted_glyph)||void 0===t||t.set_base(this.glyph),this.decimated_glyph.set_base(this.glyph),this.set_data()}async build_glyph_view(e){return m.build_view(e,{parent:this})}remove(){var e,t;this.glyph.remove(),this.selection_glyph.remove(),this.nonselection_glyph.remove(),null===(e=this.hover_glyph)||void 0===e||e.remove(),null===(t=this.muted_glyph)||void 0===t||t.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),null!=this.muted_glyph&&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 p.Indices(l);for(let e=0;e!d||d.is_empty()?[]:d.selected_glyph?this.model.view.convert_indices_from_subset(i):d.indices.length>0?d.indices:Object.keys(d.multiline_indices).map((e=>parseInt(e))))()),r=g.filter(i,(e=>_.has(t[e]))),{lod_threshold:p}=this.plot_model;let y,m,v;if(null!=this.model.document&&this.model.document.interactive_duration()>0&&!e&&null!=p&&t.length>p?(i=[...this.decimated],y=this.decimated_glyph,m=this.decimated_glyph,v=this.selection_glyph):(y=this.model.muted&&null!=this.muted_glyph?this.muted_glyph:this.glyph,m=this.nonselection_glyph,v=this.selection_glyph),null!=this.hover_glyph&&r.length&&(i=u.difference(i,r)),h.length){const e={};for(const t of h)e[t]=!0;const l=new Array,o=new Array;if(this.glyph instanceof n.LineView)for(const i of t)null!=e[i]?l.push(i):o.push(i);else for(const s of i)null!=e[t[s]]?l.push(s):o.push(s);m.render(s,o),v.render(s,l),null!=this.hover_glyph&&(this.glyph instanceof n.LineView?this.hover_glyph.render(s,this.model.view.convert_indices_from_subset(r)):this.hover_glyph.render(s,r))}else if(this.glyph instanceof n.LineView)this.hover_glyph&&r.length?this.hover_glyph.render(s,this.model.view.convert_indices_from_subset(r)):y.render(s,t);else if(this.glyph instanceof o.PatchView||this.glyph instanceof a.HAreaView||this.glyph instanceof c.VAreaView)if(0==d.selected_glyphs.length||null==this.hover_glyph)y.render(s,t);else for(const e of d.selected_glyphs)e==this.glyph.model&&this.hover_glyph.render(s,t);else y.render(s,i),this.hover_glyph&&r.length&&this.hover_glyph.render(s,r);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=V,V.__name__=\"GlyphRendererView\";class G extends h.DataRenderer{constructor(e){super(e)}static init_GlyphRenderer(){this.prototype.default_view=V,this.define((({Boolean:e,Auto:t,Or:i,Ref:s,Null:l,Nullable:h})=>({data_source:[s(_.ColumnarDataSource)],view:[s(r.CDSView),e=>new r.CDSView({source:e.data_source})],glyph:[s(d.Glyph)],hover_glyph:[h(s(d.Glyph)),null],nonselection_glyph:[i(s(d.Glyph),t,l),\"auto\"],selection_glyph:[i(s(d.Glyph),t,l),\"auto\"],muted_glyph:[h(s(d.Glyph)),null],muted:[e,!1]})))}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,G.__name__=\"GlyphRenderer\",G.init_GlyphRenderer()},\n", - " function _(e,r,t,a,n){a();const s=e(41);class i extends s.RendererView{get xscale(){return this.coordinates.x_scale}get yscale(){return this.coordinates.y_scale}}t.DataRendererView=i,i.__name__=\"DataRendererView\";class _ extends s.Renderer{constructor(e){super(e)}static init_DataRenderer(){this.override({level:\"glyph\"})}get selection_manager(){return this.get_selection_manager()}}t.DataRenderer=_,_.__name__=\"DataRenderer\",_.init_DataRenderer()},\n", - " function _(e,i,t,s,n){s();const l=e(1),_=e(64),r=e(106),h=e(108),o=l.__importStar(e(48)),a=l.__importStar(e(107)),c=e(59);class d extends _.XYGlyphView{initialize(){super.initialize();const{webgl:e}=this.renderer.plot_view.canvas_view;null!=e&&(this.glglyph=new h.LineGL(e.gl,this))}_render(e,i,t){const{sx:s,sy:n}=null!=t?t:this;let l=!0;e.beginPath();for(const t of i){const i=s[t],_=n[t];isFinite(i+_)?l?(e.moveTo(i,_),l=!1):e.lineTo(i,_):l=!0}this.visuals.line.set_value(e),e.stroke()}_hit_point(e){const i=new c.Selection,t={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:[p.XCoordinateSpec,{field:\"x\"}],y:[p.YCoordinateSpec,{field:\"y\"}]})))}}i.XYGlyph=d,d.__name__=\"XYGlyph\",d.init_XYGlyph()},\n", - " function _(n,t,e,o,r){o();const c=n(1),l=c.__importDefault(n(66)),i=c.__importDefault(n(67)),u=n(24),a=new i.default(\"GOOGLE\"),s=new i.default(\"WGS84\"),f=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=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 r.z?[r.x,r.y,r.z].concat(t.splice(3)):[r.x,r.y,t[2]].concat(t.splice(3)):[r.x,r.y].concat(t.splice(2)):[r.x,r.y]):(o=c.default(e,n,t),2===(a=Object.keys(t)).length||a.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;o[r]=t[r]})),o)}function l(e){return e instanceof i.default?e:e.oProj?e.oProj: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){return f(e,n,t)},inverse:function(t){return f(n,e,t)}},o&&(r.oProj=n),r)}},\n", - " function _(t,e,a,s,i){s();const u=t(1),l=u.__importDefault(t(68)),o=u.__importDefault(t(79)),r=u.__importDefault(t(80)),f=t(88),p=u.__importDefault(t(90)),d=u.__importDefault(t(91)),m=u.__importDefault(t(75));function n(t,e){if(!(this instanceof n))return new n(t);e=e||function(t){if(t)throw t};var a=l.default(t);if(\"object\"==typeof a){var s=n.projections.get(a.projName);if(s){if(a.datumCode&&\"none\"!==a.datumCode){var i=m.default(p.default,a.datumCode);i&&(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\";var u=f.sphere(a.a,a.b,a.rf,a.ellps,a.sphere),r=f.eccentricity(u.a,u.b,u.rf,a.R_A),h=a.datum||d.default(a.datumCode,a.datum_params,u.a,u.b,r.es,r.ep2);o.default(this,a),o.default(this,s),this.a=u.a,this.b=u.b,this.rf=u.rf,this.sphere=u.sphere,this.es=r.es,this.e=r.e,this.ep2=r.ep2,this.datum=h,this.init(),e(null,this)}else e(t)}else e(t)}n.projections=r.default,n.projections.start(),a.default=n},\n", - " function _(t,r,n,u,e){u();const f=t(1),i=f.__importDefault(t(69)),a=f.__importDefault(t(76)),o=f.__importDefault(t(71)),l=f.__importDefault(t(75));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=a.default(t);if(function(t){var r=l.default(t,\"authority\");if(r){var n=l.default(r,\"epsg\");return n&&d.indexOf(n)>-1}}(r))return i.default[\"EPSG:3857\"];var n=function(t){var r=l.default(t,\"extension\");if(r)return l.default(r,\"proj4\")}(r);return n?o.default(n):r}return function(t){return\"+\"===t[0]}(t)?o.default(t):void 0}},\n", - " function _(t,r,i,e,n){e();const f=t(1),a=f.__importDefault(t(70)),l=f.__importDefault(t(71)),u=f.__importDefault(t(76));function o(t){var r=this;if(2===arguments.length){var i=arguments[1];\"string\"==typeof i?\"+\"===i.charAt(0)?o[t]=l.default(arguments[1]):o[t]=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}}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(72),i=e.__importDefault(t(73)),f=e.__importDefault(t(74)),l=e.__importDefault(t(75));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},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=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=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)}};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 _(P,A,_,D,I){D(),_.PJD_3PARAM=1,_.PJD_7PARAM=2,_.PJD_WGS84=4,_.PJD_NODATUM=5,_.SEC_TO_RAD=484813681109536e-20,_.HALF_PI=Math.PI/2,_.SIXTH=.16666666666666666,_.RA4=.04722222222222222,_.RA6=.022156084656084655,_.EPSLN=1e-10,_.D2R=.017453292519943295,_.R2D=57.29577951308232,_.FORTPI=Math.PI/4,_.TWO_PI=2*Math.PI,_.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)}(d),d}},\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 '+this.place);this.afterItem(t)}},d.prototype.neutral=function(t){if(o.test(t))return this.word=t,void(this.state=2);if('\"'===t)return this.word=\"\",void(this.state=4);if(u.test(t))return this.word=t,void(this.state=3);if(!a.test(t))throw new Error(\"havn't handled \\\"\"+t+'\" in neutral yet, index '+this.place);this.afterItem(t)},d.prototype.output=function(){for(;this.place90&&a*o.R2D<-90&&h*o.R2D>180&&h*o.R2D<-180)return null;if(Math.abs(Math.abs(a)-o.HALF_PI)<=o.EPSLN)return null;if(this.sphere)i=this.x0+this.a*this.k0*n.default(h-this.long0),s=this.y0+this.a*this.k0*Math.log(Math.tan(o.FORTPI+.5*a));else{var e=Math.sin(a),r=l.default(this.e,a,e);i=this.x0+this.a*this.k0*n.default(h-this.long0),s=this.y0-this.a*this.k0*Math.log(r)}return t.x=i,t.y=s,t}function M(t){var i,s,h=t.x-this.x0,a=t.y-this.y0;if(this.sphere)s=o.HALF_PI-2*Math.atan(Math.exp(-a/(this.a*this.k0)));else{var e=Math.exp(-a/(this.a*this.k0));if(-9999===(s=u.default(this.e,e)))return null}return i=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(72),_=e.__importDefault(t(84));u.default=function(t){return Math.abs(t)<=o.SPI?t:t-_.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(72);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(72);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(72),u=f.__importStar(t(89)),c=f.__importDefault(t(75));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=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===r.datum_params[3]&&0===r.datum_params[4]&&0===r.datum_params[5]&&0===r.datum_params[6]||(r.datum_type=p.PJD_7PARAM,r.datum_params[3]*=p.SEC_TO_RAD,r.datum_params[4]*=p.SEC_TO_RAD,r.datum_params[5]*=p.SEC_TO_RAD,r.datum_params[6]=r.datum_params[6]/1e6+1))),r.a=_,r.b=t,r.es=u,r.ep2=d,r}},\n", - " function _(t,e,a,r,u){r();const m=t(1),_=t(72),o=m.__importDefault(t(93)),d=m.__importDefault(t(95)),f=m.__importDefault(t(67)),n=m.__importDefault(t(96)),i=m.__importDefault(t(97));a.default=function t(e,a,r){var u;if(Array.isArray(r)&&(r=n.default(r)),i.default(r),e.datum&&a.datum&&function(t,e){return(t.datum.datum_type===_.PJD_3PARAM||t.datum.datum_type===_.PJD_7PARAM)&&\"WGS84\"!==e.datumCode||(e.datum.datum_type===_.PJD_3PARAM||e.datum.datum_type===_.PJD_7PARAM)&&\"WGS84\"!==t.datumCode}(e,a)&&(r=t(e,u=new f.default(\"WGS84\"),r),e=u),\"enu\"!==e.axis&&(r=d.default(e,!1,r)),\"longlat\"===e.projName)r={x:r.x*_.D2R,y:r.y*_.D2R,z:r.z||0};else if(e.to_meter&&(r={x:r.x*e.to_meter,y:r.y*e.to_meter,z:r.z||0}),!(r=e.inverse(r)))return;return e.from_greenwich&&(r.x+=e.from_greenwich),r=o.default(e.datum,a.datum,r),a.from_greenwich&&(r={x:r.x-a.from_greenwich,y:r.y,z:r.z||0}),\"longlat\"===a.projName?r={x:r.x*_.R2D,y:r.y*_.R2D,z:r.z||0}:(r=a.forward(r),a.to_meter&&(r={x:r.x/a.to_meter,y:r.y/a.to_meter,z:r.z||0})),\"enu\"!==a.axis?d.default(a,!0,r):r}},\n", - " function _(t,e,a,u,c){u();const m=t(72),o=t(94);function _(t){return t===m.PJD_3PARAM||t===m.PJD_7PARAM}a.default=function(t,e,a){return o.compareDatums(t,e)||t.datum_type===m.PJD_NODATUM||e.datum_type===m.PJD_NODATUM?a:t.es!==e.es||t.a!==e.a||_(t.datum_type)||_(e.datum_type)?(a=o.geodeticToGeocentric(a,t.es,t.a),_(t.datum_type)&&(a=o.geocentricToWgs84(a,t.datum_type,t.datum_params)),_(e.datum_type)&&(a=o.geocentricFromWgs84(a,e.datum_type,e.datum_params)),o.geocentricToGeodetic(a,e.es,e.a,e.b)):a}},\n", - " function _(a,t,r,m,s){m();const u=a(72);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,t,s,i,n){i();const r=e(1),a=r.__importStar(e(18)),o=r.__importStar(e(99)),_=r.__importStar(e(45)),l=e(42),c=e(53),h=e(19),d=e(24),u=e(8),f=e(100),p=e(12),g=e(26),y=e(101),x=e(104),v=e(59),{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(`${this}.set_data() wasn't called`)}initialize(){super.initialize(),this.visuals=new _.Visuals(this)}request_render(){this.parent.request_render()}get canvas(){return this.renderer.parent.canvas_view}render(e,t,s){var i;null!=this.glglyph&&(this.renderer.needs_webgl_blit=this.glglyph.render(e,t,null!==(i=this.base)&&void 0!==i?i:this),this.renderer.needs_webgl_blit)||(e.beginPath(),this._render(e,t,null!=s?s:this.base))}has_finished(){return!0}notify_finished(){this.renderer.notify_finished()}_bounds(e){return e}bounds(){return this._bounds(this.index.bbox)}log_bounds(){const{x0:e,x1:t}=this.index.bounds(o.positive_x()),{y0:s,y1:i}=this.index.bounds(o.positive_y());return this._bounds({x0:e,y0:s,x1:t,y1:i})}get_anchor_point(e,t,[s,i]){switch(e){case\"center\":case\"center_center\":{const[e,n]=this.scenterxy(t,s,i);return{x:e,y:n}}default:return null}}scenterx(e,t,s){return this.scenterxy(e,t,s)[0]}scentery(e,t,s){return this.scenterxy(e,t,s)[1]}sdist(e,t,s,i=\"edge\",n=!1){const r=t.length,a=new d.ScreenArray(r),o=e.s_compute;if(\"center\"==i)for(let e=0;em(e))),a}draw_legend_for_index(e,t,s){}hit_test(e){switch(e.type){case\"point\":if(null!=this._hit_point)return this._hit_point(e);break;case\"span\":if(null!=this._hit_span)return this._hit_span(e);break;case\"rect\":if(null!=this._hit_rect)return this._hit_rect(e);break;case\"poly\":if(null!=this._hit_poly)return this._hit_poly(e)}return this._nohit_warned.has(e.type)||(h.logger.debug(`'${e.type}' selection not available for ${this.model.type}`),this._nohit_warned.add(e.type)),null}_hit_rect_against_index(e){const{sx0:t,sx1:s,sy0:i,sy1:n}=e,[r,a]=this.renderer.coordinates.x_scale.r_invert(t,s),[o,_]=this.renderer.coordinates.y_scale.r_invert(i,n),l=[...this.index.indices({x0:r,x1:a,y0:o,y1:_})];return new v.Selection({indices:l})}_project_data(){}*_iter_visuals(){for(const e of this.visuals)for(const t of e)(t instanceof a.VectorSpec||t instanceof a.ScalarSpec)&&(yield t)}set_base(e){e!=this&&e instanceof this.constructor&&(this.base=e)}_configure(e,t){Object.defineProperty(this,u.isString(e)?e:e.attr,Object.assign({configurable:!0,enumerable:!0},t))}set_visuals(e,t){var s;for(const s of this._iter_visuals()){const{base:i}=this;if(null!=i){const e=i.model.properties[s.attr];if(null!=e&&g.is_equal(s.get_value(),e.get_value())){this._configure(s,{get:()=>i[`${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_range:n,y_range: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=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;h{const s=new Uint32Array(r);for(let n=0;n>1;i[s]>n?e=s:t=s+1}return i[t]}class r extends o.default{search_indices(n,i,t,e){if(this._pos!==this._boxes.length)throw new Error(\"Data not yet indexed - call index.finish().\");let s=this._boxes.length-4;const o=[],x=new d.Indices(this.numItems);for(;void 0!==s;){const d=Math.min(s+4*this.nodeSize,h(s,this._levelBounds));for(let h=s;h>2];tthis._boxes[h+2]||i>this._boxes[h+3]||(s<4*this.numItems?x.set(d):o.push(d)))}s=o.pop()}return x}}r.__name__=\"_FlatBush\";class l{constructor(n){this.index=null,n>0&&(this.index=new r(n))}add(n,i,t,e){var s;null===(s=this.index)||void 0===s||s.add(n,i,t,e)}add_empty(){var n;null===(n=this.index)||void 0===n||n.add(1/0,1/0,-1/0,-1/0)}finish(){var n;null===(n=this.index)||void 0===n||n.finish()}_normalize(n){let{x0:i,y0:t,x1:e,y1:s}=n;return i>e&&([i,e]=[e,i]),t>s&&([t,s]=[s,t]),{x0:i,y0:t,x1:e,y1:s}}get bbox(){if(null==this.index)return x.empty();{const{minX:n,minY:i,maxX:t,maxY:e}=this.index;return{x0:n,y0:i,x1:t,y1:e}}}indices(n){if(null==this.index)return new d.Indices(0);{const{x0:i,y0:t,x1:e,y1:s}=this._normalize(n);return this.index.search_indices(i,t,e,s)}}bounds(n){const i=x.empty();for(const t of this.indices(n)){const n=this.index._boxes,e=n[4*t+0],s=n[4*t+1],o=n[4*t+2],d=n[4*t+3];oi.x1&&(i.x1=e),di.y1&&(i.y1=s)}return i}}t.SpatialIndex=l,l.__name__=\"SpatialIndex\"},\n", - " function _(t,s,i,e,h){e();const n=t(1).__importDefault(t(103)),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 e=0;e>2]=t,this._boxes[this._pos++]=e,this._boxes[this._pos++]=h,this._boxes[this._pos++]=n,this._boxes[this._pos++]=o}}}search(t,s,i,e,h){if(this._pos!==this._boxes.length)throw new Error(\"Data not yet indexed - call index.finish().\");let n=this._boxes.length-4;const o=[],r=[];for(;void 0!==n;){const a=Math.min(n+4*this.nodeSize,_(n,this._levelBounds));for(let _=n;_>2];ithis._boxes[_+2]||s>this._boxes[_+3]||(n<4*this.numItems?(void 0===h||h(a))&&r.push(a):o.push(a)))}n=o.pop()}return r}neighbors(t,s,i=1/0,e=1/0,h){if(this._pos!==this._boxes.length)throw new Error(\"Data not yet indexed - call index.finish().\");let n=this._boxes.length-4;const o=this._queue,r=[],x=e*e;for(;void 0!==n;){const e=Math.min(n+4*this.nodeSize,_(n,this._levelBounds));for(let i=n;i>2],r=a(t,this._boxes[i],this._boxes[i+2]),_=a(s,this._boxes[i+1],this._boxes[i+3]),x=r*r+_*_;n<4*this.numItems?(void 0===h||h(e))&&o.push(-e-1,x):o.push(e,x)}for(;o.length&&o.peek()<0;){if(o.peekValue()>x)return o.clear(),r;if(r.push(-o.pop()-1),r.length===i)return o.clear(),r}n=o.pop()}return o.clear(),r}}function a(t,s,i){return t>1;s[h]>t?e=h:i=h+1}return s[i]}function x(t,s,i,e,h,n){if(Math.floor(e/n)>=Math.floor(h/n))return;const o=t[e+h>>1];let r=e-1,a=h+1;for(;;){do{r++}while(t[r]o);if(r>=a)break;d(t,s,i,r,a)}x(t,s,i,e,a,n),x(t,s,i,a+1,h,n)}function d(t,s,i,e,h){const n=t[e];t[e]=t[h],t[h]=n;const o=4*e,r=4*h,a=s[o],_=s[o+1],x=s[o+2],d=s[o+3];s[o]=s[r],s[o+1]=s[r+1],s[o+2]=s[r+2],s[o+3]=s[r+3],s[r]=a,s[r+1]=_,s[r+2]=x,s[r+3]=d;const m=i[e];i[e]=i[h],i[h]=m}function m(t,s){let i=t^s,e=65535^i,h=65535^(t|s),n=t&(65535^s),o=i|e>>1,r=i>>1^i,a=h>>1^e&n>>1^h,_=i&h>>1^n>>1^n;i=o,e=r,h=a,n=_,o=i&i>>2^e&e>>2,r=i&e>>2^e&(i^e)>>2,a^=i&h>>2^e&n>>2,_^=e&h>>2^(i^e)&n>>2,i=o,e=r,h=a,n=_,o=i&i>>4^e&e>>4,r=i&e>>4^e&(i^e)>>4,a^=i&h>>4^e&n>>4,_^=e&h>>4^(i^e)&n>>4,i=o,e=r,h=a,n=_,a^=i&h>>8^e&n>>8,_^=e&h>>8^(i^e)&n>>8,i=a^a>>1,e=_^_>>1;let x=t^s,d=e|65535^(x|i);return x=16711935&(x|x<<8),x=252645135&(x|x<<4),x=858993459&(x|x<<2),x=1431655765&(x|x<<1),d=16711935&(d|d<<8),d=252645135&(d|d<<4),d=858993459&(d|d<<2),d=1431655765&(d|d<<1),(d<<1|x)>>>0}i.default=r},\n", - " function _(s,t,i,h,e){h();i.default=class{constructor(){this.ids=[],this.values=[],this.length=0}clear(){this.length=0}push(s,t){let i=this.length++;for(this.ids[i]=s,this.values[i]=t;i>0;){const s=i-1>>1,h=this.values[s];if(t>=h)break;this.ids[i]=this.ids[s],this.values[i]=h,i=s}this.ids[i]=s,this.values[i]=t}pop(){if(0===this.length)return;const s=this.ids[0];if(this.length--,this.length>0){const s=this.ids[0]=this.ids[this.length],t=this.values[0]=this.values[this.length],i=this.length>>1;let h=0;for(;h=t)break;this.ids[h]=e,this.values[h]=l,h=s}this.ids[h]=s,this.values[h]=t}return s}peek(){if(0!==this.length)return this.ids[0]}peekValue(){if(0!==this.length)return this.values[0]}}},\n", - " function _(t,n,e,i,s){i();const r=t(105),a=t(20),o=t(21),g=t(24),p=t(9),c=t(8),l=t(11);function u(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+c}return[r,(a.size-1)*n+g]}function d(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,c=0;for(const[t,s]of o){const r=s.length,[o,l]=h(s,e,i,g);c+=l;const u=p.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+c]}e.Factor=o.Or(o.String,o.Tuple(o.String,o.String),o.Tuple(o.String,o.String,o.String)),e.FactorSeq=o.Or(o.Array(o.String),o.Array(o.Tuple(o.String,o.String)),o.Array(o.Tuple(o.String,o.String,o.String))),e.map_one_level=u,e.map_two_levels=h,e.map_three_levels=d;class _ extends r.Range{constructor(t){super(t)}static init_FactorRange(){this.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:[a.PaddingUnits,\"percent\"],start:[t],end:[t]}))),this.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]})))}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:l.unreachable()}}synthetic(t){if(c.isNumber(t))return t;if(c.isString(t))return this._lookup([t]);let n=0;const e=t[t.length-1];return c.isNumber(e)&&(n=e,t=t.slice(0,-1)),this._lookup(t)+n}v_synthetic(t){const n=t.length,e=new g.ScreenArray(n);for(let i=0;i{if(p.every(this.factors,c.isString)){const t=this.factors,[n,e]=u(t,this.factor_padding);return{levels:1,mapping:n,tops:null,mids:null,inside_padding:e}}if(p.every(this.factors,(t=>c.isArray(t)&&2==t.length&&c.isString(t[0])&&c.isString(t[1])))){const t=this.factors,[n,e]=h(t,this.group_padding,this.factor_padding),i=[...n.keys()];return{levels:2,mapping:n,tops:i,mids:null,inside_padding:e}}if(p.every(this.factors,(t=>c.isArray(t)&&3==t.length&&c.isString(t[0])&&c.isString(t[1])&&c.isString(t[2])))){const t=this.factors,[n,e]=d(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}}l.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=_,_.__name__=\"FactorRange\",_.init_FactorRange()},\n", - " function _(e,t,i,n,s){n();const a=e(53);class l extends a.Model{constructor(e){super(e),this.have_updated_interactively=!1}static init_Range(){this.define((({Number:e,Tuple:t,Or:i,Auto:n,Nullable:s})=>({bounds:[s(i(t(s(e),s(e)),n)),null],min_interval:[s(e),null],max_interval:[s(e),null]}))),this.internal((({Array:e,AnyRef:t})=>({plots:[e(t()),[]]})))}get is_reversed(){return this.start>this.end}get is_valid(){return isFinite(this.min)&&isFinite(this.max)}}i.Range=l,l.__name__=\"Range\",l.init_Range()},\n", - " function _(e,t,i,n,l){n();const o=e(1).__importStar(e(107));function a(e,t,{x0:i,x1:n,y0:l,y1:o},a){t.save(),t.beginPath(),t.moveTo(i,(l+o)/2),t.lineTo(n,(l+o)/2),e.line.doit&&(e.line.set_vectorize(t,a),t.stroke()),t.restore()}function r(e,t,{x0:i,x1:n,y0:l,y1:o},a){var r,c;const s=.1*Math.abs(n-i),_=.1*Math.abs(o-l),v=i+s,d=n-s,h=l+_,g=o-_;t.beginPath(),t.rect(v,h,d-v,g-h),e.fill.doit&&(e.fill.set_vectorize(t,a),t.fill()),(null===(r=e.hatch)||void 0===r?void 0:r.doit)&&(e.hatch.set_vectorize(t,a),t.fill()),(null===(c=e.line)||void 0===c?void 0:c.doit)&&(e.line.set_vectorize(t,a),t.stroke())}i.generic_line_scalar_legend=function(e,t,{x0:i,x1:n,y0:l,y1:o}){t.save(),t.beginPath(),t.moveTo(i,(l+o)/2),t.lineTo(n,(l+o)/2),e.line.doit&&(e.line.set_value(t),t.stroke()),t.restore()},i.generic_line_vector_legend=a,i.generic_line_legend=a,i.generic_area_scalar_legend=function(e,t,{x0:i,x1:n,y0:l,y1:o}){var a,r;const c=.1*Math.abs(n-i),s=.1*Math.abs(o-l),_=i+c,v=n-c,d=l+s,h=o-s;t.beginPath(),t.rect(_,d,v-_,h-d),e.fill.doit&&(e.fill.set_value(t),t.fill()),(null===(a=e.hatch)||void 0===a?void 0:a.doit)&&(e.hatch.set_value(t),t.fill()),(null===(r=e.line)||void 0===r?void 0:r.doit)&&(e.line.set_value(t),t.stroke())},i.generic_area_vector_legend=r,i.generic_area_legend=r,i.line_interpolation=function(e,t,i,n,l,a){const{sx:r,sy:c}=t;let s,_,v,d;\"point\"==t.type?([v,d]=e.yscale.r_invert(c-1,c+1),[s,_]=e.xscale.r_invert(r-1,r+1)):\"v\"==t.direction?([v,d]=e.yscale.r_invert(c,c),[s,_]=[Math.min(i-1,l-1),Math.max(i+1,l+1)]):([s,_]=e.xscale.r_invert(r,r),[v,d]=[Math.min(n-1,a-1),Math.max(n+1,a+1)]);const{x:h,y:g}=o.check_2_segments_intersect(s,v,_,d,i,n,l,a);return[h,g]}},\n", - " function _(t,n,e,i,r){function s(t,n){return(t.x-n.x)**2+(t.y-n.y)**2}function o(t,n,e){const i=s(n,e);if(0==i)return s(t,n);const r=((t.x-n.x)*(e.x-n.x)+(t.y-n.y)*(e.y-n.y))/i;if(r<0)return s(t,n);if(r>1)return s(t,e);return s(t,{x:n.x+r*(e.x-n.x),y:n.y+r*(e.y-n.y)})}i(),e.point_in_poly=function(t,n,e,i){let r=!1,s=e[e.length-1],o=i[i.length-1];for(let u=0;u0&&_<1&&h>0&&h<1,x:t+_*(e-t),y:n+_*(i-n)}}}},\n", - " function _(t,e,s,i,a){i();const o=t(1),n=t(109),_=t(113),r=o.__importDefault(t(114)),h=o.__importDefault(t(115)),l=t(22),g=t(46);class u{constructor(t){this._atlas=new Map,this._width=256,this._height=256,this.tex=new n.Texture2d(t),this.tex.set_wrapping(t.REPEAT,t.REPEAT),this.tex.set_interpolation(t.NEAREST,t.NEAREST),this.tex.set_size([this._width,this._height],t.RGBA),this.tex.set_data([0,0],[this._width,this._height],new Uint8Array(4*this._width*this._height)),this.get_atlas_data([1])}get_atlas_data(t){const e=t.join(\"-\");let s=this._atlas.get(e);if(null==s){const[i,a]=this.make_pattern(t),o=this._atlas.size;this.tex.set_data([0,o],[this._width,1],new Uint8Array(i.map((t=>t+10)))),s=[o/this._height,a],this._atlas.set(e,s)}return s}make_pattern(t){t.length>1&&t.length%2&&(t=t.concat(t));let e=0;for(const s of t)e+=s;const s=[];let i=0;for(let e=0,a=t.length+2;es[h]?-1:0,n=s[h-1],i=s[h]),o[4*t+0]=s[h],o[4*t+1]=_,o[4*t+2]=n,o[4*t+3]=i}return[o,e]}}u.__name__=\"DashAtlas\";const f={miter:0,round:1,bevel:2},c={\"\":0,none:0,\".\":0,round:1,\")\":1,\"(\":1,o:1,\"triangle in\":2,\"<\":2,\"triangle out\":3,\">\":3,square:4,\"[\":4,\"]\":4,\"=\":4,butt:5,\"|\":5};class d extends _.BaseGLGlyph{constructor(t,e){super(t,e),this.glyph=e,this._scale_aspect=0;const s=r.default,i=h.default;this.prog=new n.Program(t),this.prog.set_shaders(s,i),this.index_buffer=new n.IndexBuffer(t),this.vbo_position=new n.VertexBuffer(t),this.vbo_tangents=new n.VertexBuffer(t),this.vbo_segment=new n.VertexBuffer(t),this.vbo_angles=new n.VertexBuffer(t),this.vbo_texcoord=new n.VertexBuffer(t),this.dash_atlas=new u(t)}draw(t,e,s){const i=e.glglyph;if(i.data_changed&&(i._set_data(),i.data_changed=!1),this.visuals_changed&&(this._set_visuals(),this.visuals_changed=!1),i._update_scale(1,1),this._scale_aspect=1,this.prog.set_attribute(\"a_position\",\"vec2\",i.vbo_position),this.prog.set_attribute(\"a_tangents\",\"vec4\",i.vbo_tangents),this.prog.set_attribute(\"a_segment\",\"vec2\",i.vbo_segment),this.prog.set_attribute(\"a_angles\",\"vec2\",i.vbo_angles),this.prog.set_attribute(\"a_texcoord\",\"vec2\",i.vbo_texcoord),this.prog.set_uniform(\"u_length\",\"float\",[i.cumsum]),this.prog.set_texture(\"u_dash_atlas\",this.dash_atlas.tex),this.prog.set_uniform(\"u_pixel_ratio\",\"float\",[s.pixel_ratio]),this.prog.set_uniform(\"u_canvas_size\",\"vec2\",[s.width,s.height]),this.prog.set_uniform(\"u_scale_aspect\",\"vec2\",[1,1]),this.prog.set_uniform(\"u_scale_length\",\"float\",[Math.sqrt(2)]),this.I_triangles=i.I_triangles,this.I_triangles.length<65535)this.index_buffer.set_size(2*this.I_triangles.length),this.index_buffer.set_data(0,new Uint16Array(this.I_triangles)),this.prog.draw(this.gl.TRIANGLES,this.index_buffer);else{t=Array.from(this.I_triangles);const e=this.I_triangles.length,s=64008,a=[];for(let t=0,i=Math.ceil(e/s);t1)for(let e=0;e0||console.log(`Variable ${t} is not an active attribute`));else if(this._unset_variables.has(t)&&this._unset_variables.delete(t),this.activate(),i instanceof r.VertexBuffer){const[r,o]=this.ATYPEINFO[e],l=\"vertexAttribPointer\",_=[r,o,n,s,a];this._attributes.set(t,[i.handle,h,l,_])}else{const s=this.ATYPEMAP[e];this._attributes.set(t,[null,h,s,i])}}_pre_draw(){this.activate();for(const[t,e,i]of this._samplers.values())this.gl.activeTexture(this.gl.TEXTURE0+i),this.gl.bindTexture(t,e);for(const[t,e,i,s]of this._attributes.values())null!=t?(this.gl.bindBuffer(this.gl.ARRAY_BUFFER,t),this.gl.enableVertexAttribArray(e),this.gl[i].apply(this.gl,[e,...s])):(this.gl.bindBuffer(this.gl.ARRAY_BUFFER,null),this.gl.disableVertexAttribArray(e),this.gl[i].apply(this.gl,[e,...s]));this._validated||(this._validated=!0,this._validate())}_validate(){if(this._unset_variables.size&&console.log(`Program has unset variables: ${this._unset_variables}`),this.gl.validateProgram(this.handle),!this.gl.getProgramParameter(this.handle,this.gl.VALIDATE_STATUS))throw console.log(this.gl.getProgramInfoLog(this.handle)),new Error(\"Program validation error\")}draw(t,e){if(!this._linked)throw new Error(\"Cannot draw program if code has not been set\");if(e instanceof r.IndexBuffer){this._pre_draw(),e.activate();const i=e.buffer_size/2,s=this.gl.UNSIGNED_SHORT;this.gl.drawElements(t,i,s,0),e.deactivate()}else{const[i,s]=e;0!=s&&(this._pre_draw(),this.gl.drawArrays(t,i,s))}}}i.Program=n,n.__name__=\"Program\"},\n", - " function _(t,e,s,i,a){i();class r{constructor(t){this.gl=t,this._usage=35048,this.buffer_size=0,this.handle=this.gl.createBuffer()}delete(){this.gl.deleteBuffer(this.handle)}activate(){this.gl.bindBuffer(this._target,this.handle)}deactivate(){this.gl.bindBuffer(this._target,null)}set_size(t){t!=this.buffer_size&&(this.activate(),this.gl.bufferData(this._target,t,this._usage),this.buffer_size=t)}set_data(t,e){this.activate(),this.gl.bufferSubData(this._target,t,e)}}s.Buffer=r,r.__name__=\"Buffer\";class f extends r{constructor(){super(...arguments),this._target=34962}}s.VertexBuffer=f,f.__name__=\"VertexBuffer\";class h extends r{constructor(){super(...arguments),this._target=34963}}s.IndexBuffer=h,h.__name__=\"IndexBuffer\"},\n", - " function _(t,e,i,a,r){a();const s=t(11);class h{constructor(t){this.gl=t,this._target=3553,this._types={Int8Array:5120,Uint8Array:5121,Int16Array:5122,Uint16Array:5123,Int32Array:5124,Uint32Array:5125,Float32Array:5126},this.handle=this.gl.createTexture()}delete(){this.gl.deleteTexture(this.handle)}activate(){this.gl.bindTexture(this._target,this.handle)}deactivate(){this.gl.bindTexture(this._target,0)}_get_alignment(t){const e=[4,8,2,1];for(const i of e)if(t%i==0)return i;s.unreachable()}set_wrapping(t,e){this.activate(),this.gl.texParameterf(this._target,this.gl.TEXTURE_WRAP_S,t),this.gl.texParameterf(this._target,this.gl.TEXTURE_WRAP_T,e)}set_interpolation(t,e){this.activate(),this.gl.texParameterf(this._target,this.gl.TEXTURE_MIN_FILTER,t),this.gl.texParameterf(this._target,this.gl.TEXTURE_MAG_FILTER,e)}set_size([t,e],i){var a,r,s;t==(null===(a=this._shape_format)||void 0===a?void 0:a.width)&&e==(null===(r=this._shape_format)||void 0===r?void 0:r.height)&&i==(null===(s=this._shape_format)||void 0===s?void 0:s.format)||(this._shape_format={width:t,height:e,format:i},this.activate(),this.gl.texImage2D(this._target,0,i,t,e,0,i,this.gl.UNSIGNED_BYTE,null))}set_data(t,[e,i],a){this.activate();const{format:r}=this._shape_format,[s,h]=t,l=this._types[a.constructor.name];if(null==l)throw new Error(`Type ${a.constructor.name} not allowed for texture`);const _=this._get_alignment(e);4!=_&&this.gl.pixelStorei(this.gl.UNPACK_ALIGNMENT,_),this.gl.texSubImage2D(this._target,0,s,h,e,i,r,l,a),4!=_&&this.gl.pixelStorei(this.gl.UNPACK_ALIGNMENT,4)}}i.Texture2d=h,h.__name__=\"Texture2d\"},\n", - " function _(e,t,s,i,h){i();class a{constructor(e,t){this.gl=e,this.glyph=t,this.nvertices=0,this.size_changed=!1,this.data_changed=!1,this.visuals_changed=!1}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", - " function _(n,e,t,a,i){a();t.default=\"\\nprecision mediump float;\\n\\nconst float PI = 3.14159265358979323846264;\\nconst float THETA = 15.0 * 3.14159265358979323846264/180.0;\\n\\nuniform float u_pixel_ratio;\\nuniform vec2 u_canvas_size, u_offset;\\nuniform vec2 u_scale_aspect;\\nuniform float u_scale_length;\\n\\nuniform vec4 u_color;\\nuniform float u_antialias;\\nuniform float u_length;\\nuniform float u_linewidth;\\nuniform float u_dash_index;\\nuniform float u_closed;\\n\\nattribute vec2 a_position;\\nattribute vec4 a_tangents;\\nattribute vec2 a_segment;\\nattribute vec2 a_angles;\\nattribute vec2 a_texcoord;\\n\\nvarying vec4 v_color;\\nvarying vec2 v_segment;\\nvarying vec2 v_angles;\\nvarying vec2 v_texcoord;\\nvarying vec2 v_miter;\\nvarying float v_length;\\nvarying float v_linewidth;\\n\\nfloat cross(in vec2 v1, in vec2 v2)\\n{\\n return v1.x*v2.y - v1.y*v2.x;\\n}\\n\\nfloat signed_distance(in vec2 v1, in vec2 v2, in vec2 v3)\\n{\\n return cross(v2-v1,v1-v3) / length(v2-v1);\\n}\\n\\nvoid rotate( in vec2 v, in float alpha, out vec2 result )\\n{\\n float c = cos(alpha);\\n float s = sin(alpha);\\n result = vec2( c*v.x - s*v.y,\\n s*v.x + c*v.y );\\n}\\n\\nvoid main()\\n{\\n bool closed = (u_closed > 0.0);\\n\\n // Attributes and uniforms to varyings\\n v_color = u_color;\\n v_linewidth = u_linewidth;\\n v_segment = a_segment * u_scale_length;\\n v_length = u_length * u_scale_length;\\n\\n // Scale to map to pixel coordinates. The original algorithm from the paper\\n // assumed isotropic scale. We obviously do not have this.\\n vec2 abs_scale_aspect = abs(u_scale_aspect);\\n vec2 abs_scale = u_scale_length * abs_scale_aspect;\\n\\n // Correct angles for aspect ratio\\n vec2 av;\\n av = vec2(1.0, tan(a_angles.x)) / abs_scale_aspect;\\n v_angles.x = atan(av.y, av.x);\\n av = vec2(1.0, tan(a_angles.y)) / abs_scale_aspect;\\n v_angles.y = atan(av.y, av.x);\\n\\n // Thickness below 1 pixel are represented using a 1 pixel thickness\\n // and a modified alpha\\n v_color.a = min(v_linewidth, v_color.a);\\n v_linewidth = max(v_linewidth, 1.0);\\n\\n // If color is fully transparent we just will discard the fragment anyway\\n if( v_color.a <= 0.0 ) {\\n gl_Position = vec4(0.0,0.0,0.0,1.0);\\n return;\\n }\\n\\n // This is the actual half width of the line\\n float w = ceil(u_antialias+v_linewidth)/2.0;\\n\\n vec2 position = a_position;\\n\\n vec2 t1 = normalize(a_tangents.xy * abs_scale_aspect); // note the scaling for aspect ratio here\\n vec2 t2 = normalize(a_tangents.zw * abs_scale_aspect);\\n float u = a_texcoord.x;\\n float v = a_texcoord.y;\\n vec2 o1 = vec2( +t1.y, -t1.x);\\n vec2 o2 = vec2( +t2.y, -t2.x);\\n\\n // This is a join\\n // ----------------------------------------------------------------\\n if( t1 != t2 ) {\\n float angle = atan (t1.x*t2.y-t1.y*t2.x, t1.x*t2.x+t1.y*t2.y); // Angle needs recalculation for some reason\\n vec2 t = normalize(t1+t2);\\n vec2 o = vec2( + t.y, - t.x);\\n\\n if ( u_dash_index > 0.0 )\\n {\\n // Broken angle\\n // ----------------------------------------------------------------\\n if( (abs(angle) > THETA) ) {\\n position += v * w * o / cos(angle/2.0);\\n float s = sign(angle);\\n if( angle < 0.0 ) {\\n if( u == +1.0 ) {\\n u = v_segment.y + v * w * tan(angle/2.0);\\n if( v == 1.0 ) {\\n position -= 2.0 * w * t1 / sin(angle);\\n u -= 2.0 * w / sin(angle);\\n }\\n } else {\\n u = v_segment.x - v * w * tan(angle/2.0);\\n if( v == 1.0 ) {\\n position += 2.0 * w * t2 / sin(angle);\\n u += 2.0*w / sin(angle);\\n }\\n }\\n } else {\\n if( u == +1.0 ) {\\n u = v_segment.y + v * w * tan(angle/2.0);\\n if( v == -1.0 ) {\\n position += 2.0 * w * t1 / sin(angle);\\n u += 2.0 * w / sin(angle);\\n }\\n } else {\\n u = v_segment.x - v * w * tan(angle/2.0);\\n if( v == -1.0 ) {\\n position -= 2.0 * w * t2 / sin(angle);\\n u -= 2.0*w / sin(angle);\\n }\\n }\\n }\\n // Continuous angle\\n // ------------------------------------------------------------\\n } else {\\n position += v * w * o / cos(angle/2.0);\\n if( u == +1.0 ) u = v_segment.y;\\n else u = v_segment.x;\\n }\\n }\\n\\n // Solid line\\n // --------------------------------------------------------------------\\n else\\n {\\n position.xy += v * w * o / cos(angle/2.0);\\n if( angle < 0.0 ) {\\n if( u == +1.0 ) {\\n u = v_segment.y + v * w * tan(angle/2.0);\\n } else {\\n u = v_segment.x - v * w * tan(angle/2.0);\\n }\\n } else {\\n if( u == +1.0 ) {\\n u = v_segment.y + v * w * tan(angle/2.0);\\n } else {\\n u = v_segment.x - v * w * tan(angle/2.0);\\n }\\n }\\n }\\n\\n // This is a line start or end (t1 == t2)\\n // ------------------------------------------------------------------------\\n } else {\\n position += v * w * o1;\\n if( u == -1.0 ) {\\n u = v_segment.x - w;\\n position -= w * t1;\\n } else {\\n u = v_segment.y + w;\\n position += w * t2;\\n }\\n }\\n\\n // Miter distance\\n // ------------------------------------------------------------------------\\n vec2 t;\\n vec2 curr = a_position * abs_scale;\\n if( a_texcoord.x < 0.0 ) {\\n vec2 next = curr + t2*(v_segment.y-v_segment.x);\\n\\n rotate( t1, +v_angles.x/2.0, t);\\n v_miter.x = signed_distance(curr, curr+t, position);\\n\\n rotate( t2, +v_angles.y/2.0, t);\\n v_miter.y = signed_distance(next, next+t, position);\\n } else {\\n vec2 prev = curr - t1*(v_segment.y-v_segment.x);\\n\\n rotate( t1, -v_angles.x/2.0,t);\\n v_miter.x = signed_distance(prev, prev+t, position);\\n\\n rotate( t2, -v_angles.y/2.0,t);\\n v_miter.y = signed_distance(curr, curr+t, position);\\n }\\n\\n if (!closed && v_segment.x <= 0.0) {\\n v_miter.x = 1e10;\\n }\\n if (!closed && v_segment.y >= v_length)\\n {\\n v_miter.y = 1e10;\\n }\\n\\n v_texcoord = vec2( u, v*w );\\n\\n // Calculate position in device coordinates. Note that we\\n // already scaled with abs scale above.\\n vec2 normpos = position * sign(u_scale_aspect);\\n normpos += 0.5; // make up for Bokeh's offset\\n normpos /= u_canvas_size / u_pixel_ratio; // in 0..1\\n gl_Position = vec4(normpos*2.0-1.0, 0.0, 1.0);\\n gl_Position.y *= -1.0;\\n}\\n\"},\n", - " function _(n,t,e,s,a){s();e.default=\"\\nprecision mediump float;\\n\\nconst float PI = 3.14159265358979323846264;\\nconst float THETA = 15.0 * 3.14159265358979323846264/180.0;\\n\\nuniform sampler2D u_dash_atlas;\\n\\nuniform vec2 u_linecaps;\\nuniform float u_miter_limit;\\nuniform float u_linejoin;\\nuniform float u_antialias;\\nuniform float u_dash_phase;\\nuniform float u_dash_period;\\nuniform float u_dash_index;\\nuniform vec2 u_dash_caps;\\nuniform float u_closed;\\n\\nvarying vec4 v_color;\\nvarying vec2 v_segment;\\nvarying vec2 v_angles;\\nvarying vec2 v_texcoord;\\nvarying vec2 v_miter;\\nvarying float v_length;\\nvarying float v_linewidth;\\n\\n// Compute distance to cap ----------------------------------------------------\\nfloat cap( int type, float dx, float dy, float t, float linewidth )\\n{\\n float d = 0.0;\\n dx = abs(dx);\\n dy = abs(dy);\\n if (type == 0) discard; // None\\n else if (type == 1) d = sqrt(dx*dx+dy*dy); // Round\\n else if (type == 3) d = (dx+abs(dy)); // Triangle in\\n else if (type == 2) d = max(abs(dy),(t+dx-abs(dy))); // Triangle out\\n else if (type == 4) d = max(dx,dy); // Square\\n else if (type == 5) d = max(dx+t,dy); // Butt\\n return d;\\n}\\n\\n// Compute distance to join -------------------------------------------------\\nfloat join( in int type, in float d, in vec2 segment, in vec2 texcoord, in vec2 miter,\\n in float linewidth )\\n{\\n // texcoord.x is distance from start\\n // texcoord.y is distance from centerline\\n // segment.x and y indicate the limits (as for texcoord.x) for this segment\\n\\n float dx = texcoord.x;\\n\\n // Round join\\n if( type == 1 ) {\\n if (dx < segment.x) {\\n d = max(d,length( texcoord - vec2(segment.x,0.0)));\\n //d = length( texcoord - vec2(segment.x,0.0));\\n } else if (dx > segment.y) {\\n d = max(d,length( texcoord - vec2(segment.y,0.0)));\\n //d = length( texcoord - vec2(segment.y,0.0));\\n }\\n }\\n // Bevel join\\n else if ( type == 2 ) {\\n if (dx < segment.x) {\\n vec2 x = texcoord - vec2(segment.x,0.0);\\n d = max(d, max(abs(x.x), abs(x.y)));\\n\\n } else if (dx > segment.y) {\\n vec2 x = texcoord - vec2(segment.y,0.0);\\n d = max(d, max(abs(x.x), abs(x.y)));\\n }\\n /* Original code for bevel which does not work for us\\n if( (dx < segment.x) || (dx > segment.y) )\\n d = max(d, min(abs(x.x),abs(x.y)));\\n */\\n }\\n\\n return d;\\n}\\n\\nvoid main()\\n{\\n // If color is fully transparent we just discard the fragment\\n if( v_color.a <= 0.0 ) {\\n discard;\\n }\\n\\n // Test if dash pattern is the solid one (0)\\n bool solid = (u_dash_index == 0.0);\\n\\n // Test if path is closed\\n bool closed = (u_closed > 0.0);\\n\\n vec4 color = v_color;\\n float dx = v_texcoord.x;\\n float dy = v_texcoord.y;\\n float t = v_linewidth/2.0-u_antialias;\\n float width = 1.0; //v_linewidth; original code had dashes scale with line width, we do not\\n float d = 0.0;\\n\\n vec2 linecaps = u_linecaps;\\n vec2 dash_caps = u_dash_caps;\\n float line_start = 0.0;\\n float line_stop = v_length;\\n\\n // Apply miter limit; fragments too far into the miter are simply discarded\\n if( (dx < v_segment.x) || (dx > v_segment.y) ) {\\n float into_miter = max(v_segment.x - dx, dx - v_segment.y);\\n if (into_miter > u_miter_limit*v_linewidth/2.0)\\n discard;\\n }\\n\\n // Solid line --------------------------------------------------------------\\n if( solid ) {\\n d = abs(dy);\\n if( (!closed) && (dx < line_start) ) {\\n d = cap( int(u_linecaps.x), abs(dx), abs(dy), t, v_linewidth );\\n }\\n else if( (!closed) && (dx > line_stop) ) {\\n d = cap( int(u_linecaps.y), abs(dx)-line_stop, abs(dy), t, v_linewidth );\\n }\\n else {\\n d = join( int(u_linejoin), abs(dy), v_segment, v_texcoord, v_miter, v_linewidth );\\n }\\n\\n // Dash line --------------------------------------------------------------\\n } else {\\n float segment_start = v_segment.x;\\n float segment_stop = v_segment.y;\\n float segment_center= (segment_start+segment_stop)/2.0;\\n float freq = u_dash_period*width;\\n float u = mod( dx + u_dash_phase*width, freq);\\n vec4 tex = texture2D(u_dash_atlas, vec2(u/freq, u_dash_index)) * 255.0 -10.0; // conversion to int-like\\n float dash_center= tex.x * width;\\n float dash_type = tex.y;\\n float _start = tex.z * width;\\n float _stop = tex.a * width;\\n float dash_start = dx - u + _start;\\n float dash_stop = dx - u + _stop;\\n\\n // Compute extents of the first dash (the one relative to v_segment.x)\\n // Note: this could be computed in the vertex shader\\n if( (dash_stop < segment_start) && (dash_caps.x != 5.0) ) {\\n float u = mod(segment_start + u_dash_phase*width, freq);\\n vec4 tex = texture2D(u_dash_atlas, vec2(u/freq, u_dash_index)) * 255.0 -10.0; // conversion to int-like\\n dash_center= tex.x * width;\\n //dash_type = tex.y;\\n float _start = tex.z * width;\\n float _stop = tex.a * width;\\n dash_start = segment_start - u + _start;\\n dash_stop = segment_start - u + _stop;\\n }\\n\\n // Compute extents of the last dash (the one relatives to v_segment.y)\\n // Note: This could be computed in the vertex shader\\n else if( (dash_start > segment_stop) && (dash_caps.y != 5.0) ) {\\n float u = mod(segment_stop + u_dash_phase*width, freq);\\n vec4 tex = texture2D(u_dash_atlas, vec2(u/freq, u_dash_index)) * 255.0 -10.0; // conversion to int-like\\n dash_center= tex.x * width;\\n //dash_type = tex.y;\\n float _start = tex.z * width;\\n float _stop = tex.a * width;\\n dash_start = segment_stop - u + _start;\\n dash_stop = segment_stop - u + _stop;\\n }\\n\\n // This test if the we are dealing with a discontinuous angle\\n bool discontinuous = ((dx < segment_center) && abs(v_angles.x) > THETA) ||\\n ((dx >= segment_center) && abs(v_angles.y) > THETA);\\n //if( dx < line_start) discontinuous = false;\\n //if( dx > line_stop) discontinuous = false;\\n\\n float d_join = join( int(u_linejoin), abs(dy),\\n v_segment, v_texcoord, v_miter, v_linewidth );\\n\\n // When path is closed, we do not have room for linecaps, so we make room\\n // by shortening the total length\\n if (closed) {\\n line_start += v_linewidth/2.0;\\n line_stop -= v_linewidth/2.0;\\n }\\n\\n // We also need to take antialias area into account\\n //line_start += u_antialias;\\n //line_stop -= u_antialias;\\n\\n // Check is dash stop is before line start\\n if( dash_stop <= line_start ) {\\n discard;\\n }\\n // Check is dash start is beyond line stop\\n if( dash_start >= line_stop ) {\\n discard;\\n }\\n\\n // Check if current dash start is beyond segment stop\\n if( discontinuous ) {\\n // Dash start is beyond segment, we discard\\n if( (dash_start > segment_stop) ) {\\n discard;\\n //gl_FragColor = vec4(1.0,0.0,0.0,.25); return;\\n }\\n\\n // Dash stop is before segment, we discard\\n if( (dash_stop < segment_start) ) {\\n discard; //gl_FragColor = vec4(0.0,1.0,0.0,.25); return;\\n }\\n\\n // Special case for round caps (nicer with this)\\n if( dash_caps.x == 1.0 ) {\\n if( (u > _stop) && (dash_stop > segment_stop ) && (abs(v_angles.y) < PI/2.0)) {\\n discard;\\n }\\n }\\n\\n // Special case for round caps (nicer with this)\\n if( dash_caps.y == 1.0 ) {\\n if( (u < _start) && (dash_start < segment_start ) && (abs(v_angles.x) < PI/2.0)) {\\n discard;\\n }\\n }\\n\\n // Special case for triangle caps (in & out) and square\\n // We make sure the cap stop at crossing frontier\\n if( (dash_caps.x != 1.0) && (dash_caps.x != 5.0) ) {\\n if( (dash_start < segment_start ) && (abs(v_angles.x) < PI/2.0) ) {\\n float a = v_angles.x/2.0;\\n float x = (segment_start-dx)*cos(a) - dy*sin(a);\\n float y = (segment_start-dx)*sin(a) + dy*cos(a);\\n if( x > 0.0 ) discard;\\n // We transform the cap into square to avoid holes\\n dash_caps.x = 4.0;\\n }\\n }\\n\\n // Special case for triangle caps (in & out) and square\\n // We make sure the cap stop at crossing frontier\\n if( (dash_caps.y != 1.0) && (dash_caps.y != 5.0) ) {\\n if( (dash_stop > segment_stop ) && (abs(v_angles.y) < PI/2.0) ) {\\n float a = v_angles.y/2.0;\\n float x = (dx-segment_stop)*cos(a) - dy*sin(a);\\n float y = (dx-segment_stop)*sin(a) + dy*cos(a);\\n if( x > 0.0 ) discard;\\n // We transform the caps into square to avoid holes\\n dash_caps.y = 4.0;\\n }\\n }\\n }\\n\\n // Line cap at start\\n if( (dx < line_start) && (dash_start < line_start) && (dash_stop > line_start) ) {\\n d = cap( int(linecaps.x), dx-line_start, dy, t, v_linewidth);\\n }\\n // Line cap at stop\\n else if( (dx > line_stop) && (dash_stop > line_stop) && (dash_start < line_stop) ) {\\n d = cap( int(linecaps.y), dx-line_stop, dy, t, v_linewidth);\\n }\\n // Dash cap left - dash_type = -1, 0 or 1, but there may be roundoff errors\\n else if( dash_type < -0.5 ) {\\n d = cap( int(dash_caps.y), abs(u-dash_center), dy, t, v_linewidth);\\n if( (dx > line_start) && (dx < line_stop) )\\n d = max(d,d_join);\\n }\\n // Dash cap right\\n else if( dash_type > 0.5 ) {\\n d = cap( int(dash_caps.x), abs(dash_center-u), dy, t, v_linewidth);\\n if( (dx > line_start) && (dx < line_stop) )\\n d = max(d,d_join);\\n }\\n // Dash body (plain)\\n else {// if( dash_type > -0.5 && dash_type < 0.5) {\\n d = abs(dy);\\n }\\n\\n // Line join\\n if( (dx > line_start) && (dx < line_stop)) {\\n if( (dx <= segment_start) && (dash_start <= segment_start)\\n && (dash_stop >= segment_start) ) {\\n d = d_join;\\n // Antialias at outer border\\n float angle = PI/2.+v_angles.x;\\n float f = abs( (segment_start - dx)*cos(angle) - dy*sin(angle));\\n d = max(f,d);\\n }\\n else if( (dx > segment_stop) && (dash_start <= segment_stop)\\n && (dash_stop >= segment_stop) ) {\\n d = d_join;\\n // Antialias at outer border\\n float angle = PI/2.+v_angles.y;\\n float f = abs((dx - segment_stop)*cos(angle) - dy*sin(angle));\\n d = max(f,d);\\n }\\n else if( dx < (segment_start - v_linewidth/2.)) {\\n discard;\\n }\\n else if( dx > (segment_stop + v_linewidth/2.)) {\\n discard;\\n }\\n }\\n else if( dx < (segment_start - v_linewidth/2.)) {\\n discard;\\n }\\n else if( dx > (segment_stop + v_linewidth/2.)) {\\n discard;\\n }\\n }\\n\\n // Distance to border ------------------------------------------------------\\n d = d - t;\\n if( d < 0.0 ) {\\n gl_FragColor = color;\\n } else {\\n d /= u_antialias;\\n gl_FragColor = vec4(color.rgb, exp(-d*d)*color.a);\\n }\\n}\\n\"},\n", - " function _(i,t,s,e,l){e();const a=i(1),n=i(64),_=i(106),o=a.__importStar(i(107)),h=a.__importStar(i(48)),c=i(59);class r extends n.XYGlyphView{_inner_loop(i,t,s,e,l){for(const a of t){const t=s[a],n=e[a];0!=a?isNaN(t+n)?(i.closePath(),l.apply(i),i.beginPath()):i.lineTo(t,n):(i.beginPath(),i.moveTo(t,n))}i.closePath(),l.call(i)}_render(i,t,s){const{sx:e,sy:l}=null!=s?s:this;this.visuals.fill.doit&&(this.visuals.fill.set_value(i),this._inner_loop(i,t,e,l,i.fill)),this.visuals.hatch.doit&&(this.visuals.hatch.set_value(i),this._inner_loop(i,t,e,l,i.fill)),this.visuals.line.doit&&(this.visuals.line.set_value(i),this._inner_loop(i,t,e,l,i.stroke))}draw_legend_for_index(i,t,s){_.generic_area_scalar_legend(this.visuals,i,t)}_hit_point(i){const t=new c.Selection;return o.point_in_poly(i.sx,i.sy,this.sx,this.sy)&&(t.add_to_selected_glyphs(this.model),t.view=this),t}}s.PatchView=r,r.__name__=\"PatchView\";class p extends n.XYGlyph{constructor(i){super(i)}static init_Patch(){this.prototype.default_view=r,this.mixins([h.LineScalar,h.FillScalar,h.HatchScalar])}}s.Patch=p,p.__name__=\"Patch\",p.init_Patch()},\n", - " function _(t,e,s,i,n){i();const a=t(1),r=t(24),h=t(118),_=a.__importStar(t(107)),l=a.__importStar(t(18)),o=t(59);class c extends h.AreaView{_index_data(t){const{min:e,max:s}=Math,{data_size:i}=this;for(let n=0;n=0;e--)t.lineTo(s[e],i[e]);t.closePath(),n.call(t)}_render(t,e,s){const{sx1:i,sx2:n,sy:a}=null!=s?s:this;this.visuals.fill.doit&&(this.visuals.fill.set_value(t),this._inner(t,i,n,a,t.fill)),this.visuals.hatch.doit&&(this.visuals.hatch.set_value(t),this._inner(t,i,n,a,t.fill))}_hit_point(t){const e=this.sy.length,s=new r.ScreenArray(2*e),i=new r.ScreenArray(2*e);for(let t=0,n=e;t({x1:[l.XCoordinateSpec,{field:\"x1\"}],x2:[l.XCoordinateSpec,{field:\"x2\"}],y:[l.YCoordinateSpec,{field:\"y\"}]})))}}s.HArea=d,d.__name__=\"HArea\",d.init_HArea()},\n", - " function _(e,a,_,i,r){i();const s=e(1),n=e(98),t=e(106),c=s.__importStar(e(48));class l extends n.GlyphView{draw_legend_for_index(e,a,_){t.generic_area_scalar_legend(this.visuals,e,a)}}_.AreaView=l,l.__name__=\"AreaView\";class d extends n.Glyph{constructor(e){super(e)}static init_Area(){this.mixins([c.FillScalar,c.HatchScalar])}}_.Area=d,d.__name__=\"Area\",d.init_Area()},\n", - " function _(t,e,s,i,n){i();const a=t(1),r=t(24),h=t(118),_=a.__importStar(t(107)),l=a.__importStar(t(18)),o=t(59);class c extends h.AreaView{_index_data(t){const{min:e,max:s}=Math,{data_size:i}=this;for(let n=0;n=0;s--)t.lineTo(e[s],i[s]);t.closePath(),n.call(t)}_render(t,e,s){const{sx:i,sy1:n,sy2:a}=null!=s?s:this;this.visuals.fill.doit&&(this.visuals.fill.set_value(t),this._inner(t,i,n,a,t.fill)),this.visuals.hatch.doit&&(this.visuals.hatch.set_value(t),this._inner(t,i,n,a,t.fill))}scenterxy(t){return[this.sx[t],(this.sy1[t]+this.sy2[t])/2]}_hit_point(t){const e=this.sx.length,s=new r.ScreenArray(2*e),i=new r.ScreenArray(2*e);for(let t=0,n=e;t({x:[l.XCoordinateSpec,{field:\"x\"}],y1:[l.YCoordinateSpec,{field:\"y1\"}],y2:[l.YCoordinateSpec,{field:\"y2\"}]})))}}s.VArea=d,d.__name__=\"VArea\",d.init_VArea()},\n", - " function _(i,e,s,t,n){t();const c=i(53),o=i(59),r=i(24),a=i(121),u=i(57);class _ extends c.Model{constructor(i){super(i)}static init_CDSView(){this.define((({Array:i,Ref:e})=>({filters:[i(e(a.Filter)),[]],source:[e(u.ColumnarDataSource)]}))),this.internal((({Int:i,Dict:e,Ref:s,Nullable:t})=>({indices:[s(r.Indices)],indices_map:[e(i),{}],masked:[t(s(r.Indices)),null]})))}initialize(){super.initialize(),this.compute_indices()}connect_signals(){super.connect_signals(),this.connect(this.properties.filters.change,(()=>this.compute_indices()));const i=()=>{const i=()=>this.compute_indices();null!=this.source&&(this.connect(this.source.change,i),this.source instanceof u.ColumnarDataSource&&(this.connect(this.source.streaming,i),this.connect(this.source.patching,i)))};let e=null!=this.source;e?i():this.connect(this.properties.source.change,(()=>{e||(i(),e=!0)}))}compute_indices(){var i;const{source:e}=this;if(null==e)return;const s=null!==(i=e.get_length())&&void 0!==i?i:1,t=r.Indices.all_set(s);for(const i of this.filters)t.intersect(i.compute_indices(e));this.indices=t,this._indices=[...t],this.indices_map_to_subset()}indices_map_to_subset(){this.indices_map={};for(let i=0;ithis._indices[i]));return new o.Selection(Object.assign(Object.assign({},i.attributes),{indices:e}))}convert_selection_to_subset(i){const e=i.indices.map((i=>this.indices_map[i]));return new o.Selection(Object.assign(Object.assign({},i.attributes),{indices:e}))}convert_indices_from_subset(i){return i.map((i=>this._indices[i]))}}s.CDSView=_,_.__name__=\"CDSView\",_.init_CDSView()},\n", - " function _(e,t,n,s,c){s();const o=e(53);class r extends o.Model{constructor(e){super(e)}}n.Filter=r,r.__name__=\"Filter\"},\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=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,r,n,t,i){t();const s=e(62),o=e(61),l=e(124),d=e(125),a=e(126),p=e(122),_=e(64),h=e(127),c=e(128),u=e(11);class y extends s.DataRendererView{get glyph_view(){return this.node_view.glyph}async lazy_initialize(){await super.lazy_initialize();const e=this.model;let r=null,n=null;const t=new class extends l.Expression{_v_compute(n){u.assert(null==r);const[t]=r=e.layout_provider.get_edge_coordinates(n);return t}},i=new class extends l.Expression{_v_compute(e){u.assert(null!=r);const[,n]=r;return r=null,n}},s=new class extends l.Expression{_v_compute(r){u.assert(null==n);const[t]=n=e.layout_provider.get_node_coordinates(r);return t}},o=new class extends l.Expression{_v_compute(e){u.assert(null!=n);const[,r]=n;return n=null,r}},{edge_renderer:d,node_renderer:a}=this.model;if(!(d.glyph instanceof h.MultiLine||d.glyph instanceof c.Patches))throw new Error(`${this}.edge_renderer.glyph must be a MultiLine glyph`);if(!(a.glyph instanceof _.XYGlyph))throw new Error(`${this}.node_renderer.glyph must be a XYGlyph glyph`);d.glyph.properties.xs.internal=!0,d.glyph.properties.ys.internal=!0,a.glyph.properties.x.internal=!0,a.glyph.properties.y.internal=!0,d.glyph.xs={expr:t},d.glyph.ys={expr:i},a.glyph.x={expr:s},a.glyph.y={expr:o};const{parent:y}=this;this.edge_view=await p.build_view(d,{parent:y}),this.node_view=await p.build_view(a,{parent:y})}connect_signals(){super.connect_signals(),this.connect(this.model.layout_provider.change,(()=>{this.edge_view.set_data(),this.node_view.set_data(),this.request_render()}))}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 o.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)}}n.GraphRendererView=y,y.__name__=\"GraphRendererView\";class g extends s.DataRenderer{constructor(e){super(e)}static init_GraphRenderer(){this.prototype.default_view=y,this.define((({Ref:e})=>({layout_provider:[e(d.LayoutProvider)],node_renderer:[e(o.GlyphRenderer)],edge_renderer:[e(o.GlyphRenderer)],selection_policy:[e(a.GraphHitTestPolicy),()=>new a.NodesOnly],inspection_policy:[e(a.GraphHitTestPolicy),()=>new a.NodesOnly]})))}get_selection_manager(){return this.node_renderer.data_source.selection_manager}}n.GraphRenderer=g,g.__name__=\"GraphRenderer\",g.init_GraphRenderer()},\n", - " function _(e,t,s,n,i){n();const c=e(53);class l extends c.Model{constructor(e){super(e)}initialize(){super.initialize(),this._connected=new Set,this._result=new Map}v_compute(e){this._connected.has(e)||(this.connect(e.change,(()=>this._result.delete(e))),this.connect(e.patching,(()=>this._result.delete(e))),this.connect(e.streaming,(()=>this._result.delete(e))),this._connected.add(e));let t=this._result.get(e);return null==t&&(t=this._v_compute(e),this._result.set(e,t)),t}}s.Expression=l,l.__name__=\"Expression\";class h extends c.Model{constructor(e){super(e)}initialize(){super.initialize(),this._connected=new Set,this._result=new Map}compute(e){this._connected.has(e)||(this.connect(e.change,(()=>this._result.delete(e))),this.connect(e.patching,(()=>this._result.delete(e))),this.connect(e.streaming,(()=>this._result.delete(e))),this._connected.add(e));let t=this._result.get(e);return null==t&&(t=this._compute(e),this._result.set(e,t)),t}}s.ScalarExpression=h,h.__name__=\"ScalarExpression\"},\n", - " function _(o,e,r,t,n){t();const s=o(53);class c extends s.Model{constructor(o){super(o)}}r.LayoutProvider=c,c.__name__=\"LayoutProvider\"},\n", - " function _(e,t,d,n,s){n();const o=e(53),r=e(12),_=e(9),i=e(59);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;er.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 _(t,e,i,n,s){n();const o=t(1),l=t(65),r=t(48),_=o.__importStar(t(107)),c=o.__importStar(t(18)),h=t(12),a=t(13),d=t(98),x=t(106),y=t(59);class g extends d.GlyphView{_project_data(){l.inplace.project_xy(this._xs.array,this._ys.array)}_index_data(t){const{data_size:e}=this;for(let i=0;i0&&o.set(t,i)}return new y.Selection({indices:[...o.keys()],multiline_indices:a.to_object(o)})}get_interpolation_hit(t,e,i){const n=this._xs.get(t),s=this._ys.get(t),o=n[e],l=s[e],r=n[e+1],_=s[e+1];return x.line_interpolation(this.renderer,i,o,l,r,_)}draw_legend_for_index(t,e,i){x.generic_line_vector_legend(this.visuals,t,e,i)}scenterxy(){throw new Error(`${this}.scenterxy() is not implemented`)}}i.MultiLineView=g,g.__name__=\"MultiLineView\";class u extends d.Glyph{constructor(t){super(t)}static init_MultiLine(){this.prototype.default_view=g,this.define((({})=>({xs:[c.XCoordinateSeqSpec,{field:\"xs\"}],ys:[c.YCoordinateSeqSpec,{field:\"ys\"}]}))),this.mixins(r.LineVector)}}i.MultiLine=u,u.__name__=\"MultiLine\",u.init_MultiLine()},\n", - " function _(e,t,s,i,n){i();const r=e(1),o=e(98),a=e(106),_=e(12),c=e(48),l=r.__importStar(e(107)),h=r.__importStar(e(18)),d=e(59),y=e(11),p=e(65);class x extends o.GlyphView{_project_data(){p.inplace.project_xy(this._xs.array,this._ys.array)}_index_data(e){const{data_size:t}=this;for(let s=0;s({xs:[h.XCoordinateSeqSpec,{field:\"xs\"}],ys:[h.YCoordinateSeqSpec,{field:\"ys\"}]}))),this.mixins([c.LineVector,c.FillVector,c.HatchVector])}}s.Patches=f,f.__name__=\"Patches\",f.init_Patches()},\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),i=t(57),l=t(8),c=t(13),a=r.__importStar(t(131)),u=t(132),h=t(35);function d(t,n,e){if(l.isArray(t)){const s=t.concat(n);return null!=e&&s.length>e?s.slice(-e):s}if(l.isTypedArray(t)){const s=t.length+n.length;if(null!=e&&s>e){const o=s-e,r=t.length;let i;t.length({data:[t(n),{}]})))}stream(t,n,e){const{data:s}=this;for(const[e,o]of c.entries(t))s[e]=d(s[e],o,n);if(this.setv({data:s},{silent:!0}),this.streaming.emit(),null!=this.document){const s=new h.ColumnsStreamedEvent(this.document,this.ref(),t,n);this.document._notify_change(this,\"data\",null,null,{setter_id:e,hint:s})}}patch(t,n){const{data:e}=this;let s=new Set;for(const[n,o]of c.entries(t))s=u.union(s,m(e[n],o));if(this.setv({data:e},{silent:!0}),this.patching.emit([...s]),null!=this.document){const e=new h.ColumnsPatchedEvent(this.document,this.ref(),t);this.document._notify_change(this,\"data\",null,null,{setter_id:n,hint:e})}}}e.ColumnDataSource=_,_.__name__=\"ColumnDataSource\",_.init_ColumnDataSource()},\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 _(e,i,t,s,o){s();const n=e(1),a=e(53),l=e(42),r=n.__importStar(e(45)),_=e(48),c=n.__importStar(e(18));class d extends l.View{initialize(){super.initialize(),this.visuals=new r.Visuals(this)}request_render(){this.parent.request_render()}get canvas(){return this.parent.canvas}set_data(e){const i=this;for(const t of this.model){if(!(t instanceof c.VectorSpec||t instanceof c.ScalarSpec))continue;const s=t.uniform(e);i[`${t.attr}`]=s}}}t.ArrowHeadView=d,d.__name__=\"ArrowHeadView\";class h extends a.Model{constructor(e){super(e)}static init_ArrowHead(){this.define((()=>({size:[c.NumberSpec,25]})))}}t.ArrowHead=h,h.__name__=\"ArrowHead\",h.init_ArrowHead();class v extends d{clip(e,i){this.visuals.line.set_vectorize(e,i);const t=this.size.get(i);e.moveTo(.5*t,t),e.lineTo(.5*t,-2),e.lineTo(-.5*t,-2),e.lineTo(-.5*t,t),e.lineTo(0,0),e.lineTo(.5*t,t)}render(e,i){if(this.visuals.line.doit){this.visuals.line.set_vectorize(e,i);const t=this.size.get(i);e.beginPath(),e.moveTo(.5*t,t),e.lineTo(0,0),e.lineTo(-.5*t,t),e.stroke()}}}t.OpenHeadView=v,v.__name__=\"OpenHeadView\";class u extends h{constructor(e){super(e)}static init_OpenHead(){this.prototype.default_view=v,this.mixins(_.LineVector)}}t.OpenHead=u,u.__name__=\"OpenHead\",u.init_OpenHead();class m extends d{clip(e,i){this.visuals.line.set_vectorize(e,i);const t=this.size.get(i);e.moveTo(.5*t,t),e.lineTo(.5*t,-2),e.lineTo(-.5*t,-2),e.lineTo(-.5*t,t),e.lineTo(.5*t,t)}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 t=this.size.get(i);e.beginPath(),e.moveTo(.5*t,t),e.lineTo(0,0),e.lineTo(-.5*t,t),e.closePath()}}t.NormalHeadView=m,m.__name__=\"NormalHeadView\";class T extends h{constructor(e){super(e)}static init_NormalHead(){this.prototype.default_view=m,this.mixins([_.LineVector,_.FillVector]),this.override({fill_color:\"black\"})}}t.NormalHead=T,T.__name__=\"NormalHead\",T.init_NormalHead();class p extends d{clip(e,i){this.visuals.line.set_vectorize(e,i);const t=this.size.get(i);e.moveTo(.5*t,t),e.lineTo(.5*t,-2),e.lineTo(-.5*t,-2),e.lineTo(-.5*t,t),e.lineTo(0,.5*t),e.lineTo(.5*t,t)}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 t=this.size.get(i);e.beginPath(),e.moveTo(.5*t,t),e.lineTo(0,0),e.lineTo(-.5*t,t),e.lineTo(0,.5*t),e.closePath()}}t.VeeHeadView=p,p.__name__=\"VeeHeadView\";class H extends h{constructor(e){super(e)}static init_VeeHead(){this.prototype.default_view=p,this.mixins([_.LineVector,_.FillVector]),this.override({fill_color:\"black\"})}}t.VeeHead=H,H.__name__=\"VeeHead\",H.init_VeeHead();class V extends d{render(e,i){if(this.visuals.line.doit){this.visuals.line.set_vectorize(e,i);const t=this.size.get(i);e.beginPath(),e.moveTo(.5*t,0),e.lineTo(-.5*t,0),e.stroke()}}clip(e,i){}}t.TeeHeadView=V,V.__name__=\"TeeHeadView\";class f extends h{constructor(e){super(e)}static init_TeeHead(){this.prototype.default_view=V,this.mixins(_.LineVector)}}t.TeeHead=f,f.__name__=\"TeeHead\",f.init_TeeHead()},\n", - " function _(s,e,i,t,l){t();const _=s(1),o=s(135),r=_.__importStar(s(48));class h extends o.UpperLowerView{paint(s){s.beginPath(),s.moveTo(this._lower_sx[0],this._lower_sy[0]);for(let e=0,i=this._lower_sx.length;e=0;e--)s.lineTo(this._upper_sx[e],this._upper_sy[e]);s.closePath(),this.visuals.fill.doit&&(this.visuals.fill.set_value(s),s.fill()),s.beginPath(),s.moveTo(this._lower_sx[0],this._lower_sy[0]);for(let e=0,i=this._lower_sx.length;e({dimension:[n.Dimension,\"height\"],lower:[h,{field:\"lower\"}],upper:[h,{field:\"upper\"}],base:[h,{field:\"base\"}]})))}}i.UpperLower=d,d.__name__=\"UpperLower\",d.init_UpperLower()},\n", - " function _(t,i,o,n,e){n();const s=t(1),l=t(40),a=s.__importStar(t(48)),r=t(20),h=t(99);o.EDGE_TOLERANCE=2.5;class c extends l.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:i,top:o,bottom:n}=this.model;if(null==t&&null==i&&null==o&&null==n)return;const{frame:e}=this.plot_view,s=this.coordinates.x_scale,l=this.coordinates.y_scale,a=(t,i,o,n,e)=>{let s;return s=null!=t?this.model.screen?t:\"data\"==i?o.compute(t):n.compute(t):e,s};this.bbox=h.BBox.from_rect({left:a(t,this.model.left_units,s,e.bbox.xview,e.bbox.left),right:a(i,this.model.right_units,s,e.bbox.xview,e.bbox.right),top:a(o,this.model.top_units,l,e.bbox.yview,e.bbox.top),bottom:a(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:i,top:o,width:n,height:e}=this.bbox;t.beginPath(),t.rect(i,o,n,e),this.visuals.fill.doit&&(this.visuals.fill.set_value(t),t.fill()),this.visuals.hatch.doit&&(this.visuals.hatch.set_value(t),t.fill()),this.visuals.line.doit&&(this.visuals.line.set_value(t),t.stroke()),t.restore()}interactive_bbox(){const t=this.model.line_width+o.EDGE_TOLERANCE;return this.bbox.grow_by(t)}interactive_hit(t,i){if(null==this.model.in_cursor)return!1;return this.interactive_bbox().contains(t,i)}cursor(t,i){const{left:o,right:n,bottom:e,top:s}=this.bbox;return Math.abs(t-o)<3||Math.abs(t-n)<3?this.model.ew_cursor:Math.abs(i-e)<3||Math.abs(i-s)<3?this.model.ns_cursor:this.bbox.contains(t,i)?this.model.in_cursor:null}}o.BoxAnnotationView=c,c.__name__=\"BoxAnnotationView\";class u extends l.Annotation{constructor(t){super(t)}static init_BoxAnnotation(){this.prototype.default_view=c,this.mixins([a.Line,a.Fill,a.Hatch]),this.define((({Number:t,Nullable:i})=>({top:[i(t),null],top_units:[r.SpatialUnits,\"data\"],bottom:[i(t),null],bottom_units:[r.SpatialUnits,\"data\"],left:[i(t),null],left_units:[r.SpatialUnits,\"data\"],right:[i(t),null],right_units:[r.SpatialUnits,\"data\"],render_mode:[r.RenderMode,\"canvas\"]}))),this.internal((({Boolean:t,String:i,Nullable:o})=>({screen:[t,!1],ew_cursor:[o(i),null],ns_cursor:[o(i),null],in_cursor:[o(i),null]}))),this.override({fill_color:\"#fff9ba\",fill_alpha:.4,line_color:\"#cccccc\",line_alpha:.3})}update({left:t,right:i,top:o,bottom:n}){this.setv({left:t,right:i,top:o,bottom:n,screen:!0})}}o.BoxAnnotation=u,u.__name__=\"BoxAnnotation\",u.init_BoxAnnotation()},\n", - " function _(t,e,i,a,n){a();const o=t(1),r=t(40),s=t(138),l=t(144),_=t(162),c=t(165),h=t(198),u=t(166),p=t(205),m=t(169),g=t(203),d=t(202),f=t(209),w=t(217),b=t(220),v=t(20),y=o.__importStar(t(48)),k=t(9),x=t(221),C=t(222),j=t(225),z=t(140),L=t(11),S=t(122),M=t(8);class T extends r.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 f.LogColorMapper:return new h.LogTicker;case i instanceof f.ScanningColorMapper:return new h.BinnedTicker({mapper:i});case i instanceof f.CategoricalColorMapper:return new h.CategoricalTicker;default:return new h.BasicTicker}})(),this._formatter=\"auto\"!=e?e:(()=>{switch(!0){case this._ticker instanceof h.LogTicker:return new p.LogTickFormatter;case i instanceof f.CategoricalColorMapper:return new p.CategoricalTickFormatter;default:return new p.BasicTickFormatter}})(),this._major_range=(()=>{if(i instanceof f.CategoricalColorMapper){const{factors:t}=i;return new b.FactorRange({factors:t})}if(i instanceof d.ContinuousColorMapper){const{min:t,max:e}=i.metrics;return new b.Range1d({start:t,end:e})}L.unreachable()})(),this._major_scale=(()=>{if(i instanceof f.LinearColorMapper)return new w.LinearScale;if(i instanceof f.LogColorMapper)return new w.LogScale;if(i instanceof f.ScanningColorMapper){const{binning:t}=i.metrics;return new w.LinearInterpolationScale({binning:t})}if(i instanceof f.CategoricalColorMapper)return new w.CategoricalScale;L.unreachable()})(),this._minor_range=new b.Range1d({start:0,end:1}),this._minor_scale=new w.LinearScale;const a=y.attrs_of(this.model,\"major_label_\",y.Text,!0),n=y.attrs_of(this.model,\"major_tick_\",y.Line,!0),o=y.attrs_of(this.model,\"minor_tick_\",y.Line,!0),r=y.attrs_of(this.model,\"title_\",y.Text),l=i instanceof f.CategoricalColorMapper?_.CategoricalAxis:i instanceof f.LogColorMapper?_.LogAxis:_.LinearAxis;this._axis=new l(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},a),n),o));const{title:c}=this.model;c&&(this._title=new s.Title(Object.assign({text:c,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 S.build_view(this._axis,{parent:e}),null!=this._title&&(this._title_view=await S.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 d.ContinuousColorMapper&&t instanceof b.Range1d){const{min:e,max:a}=i.metrics;t.setv({start:e,end:a})}if(i instanceof f.ScanningColorMapper&&e instanceof w.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?k.reversed(e):e})(),[i,a]=\"vertical\"==t?[1,e.length]:[e.length,1],n=this._image=document.createElement(\"canvas\");n.width=i,n.height=a;const o=n.getContext(\"2d\"),r=o.getImageData(0,0,i,a),s=new f.LinearColorMapper({palette:e}).rgba_mapper.v_compute(k.range(0,e.length));r.data.set(s),o.putImageData(r,0,0)}update_layout(){const{location:t,width:e,height:i,padding:a,margin:n}=this.model,[o,r]=(()=>{if(!M.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\"==o?\"vertical\":\"horizontal\":t})(),_=new C.NodeLayout,c=new C.VStack,h=new C.VStack,u=new C.HStack,p=new C.HStack;_.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 l.CartesianFrame(m,g,d,f),_.on_resize((t=>this._frame.set_geometry(t)));const w=new j.BorderLayout;this._inner_layout=w,w.absolute=!0,w.center_panel=_,w.top_panel=c,w.bottom_panel=h,w.left_panel=u,w.right_panel=p;const b={left:a,right:a,top:a,bottom:a},v=(()=>{if(null==this.panel){if(M.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(!M.isString(t)){const[e,i]=t;return{left:e,right:0,top:0,bottom:i}}})();let y,k,L,S;if(w.padding=b,null!=this.panel?(y=\"max\",k=void 0,L=void 0,S=void 0):\"auto\"==(\"horizontal\"==s?e:i)?(y=\"fixed\",k=25*this.model.color_mapper.palette.length,L={percent:.3},S={percent:.8}):(y=\"fit\",k=void 0),\"horizontal\"==s){const t=\"auto\"==e?void 0:e,a=\"auto\"==i?25:i;w.set_sizing({width_policy:y,height_policy:\"min\",width:k,min_width:L,max_width:S,halign:r,valign:o,margin:v}),w.center_panel.set_sizing({width_policy:\"auto\"==e?\"fit\":\"fixed\",height_policy:\"fixed\",width:t,height:a})}else{const t=\"auto\"==e?25:e,a=\"auto\"==i?void 0:i;w.set_sizing({width_policy:\"min\",height_policy:y,height:k,min_height:L,max_height:S,halign:r,valign:o,margin:v}),w.center_panel.set_sizing({width_policy:\"fixed\",height_policy:\"auto\"==i?\"fit\":\"fixed\",width:t,height:a})}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:T}=this;null!=T&&(\"horizontal\"==s?(T.panel=new z.Panel(\"above\"),T.update_layout(),c.children.push(T.layout)):(T.panel=new z.Panel(\"left\"),T.update_layout(),u.children.push(T.layout)));const{panel:B}=this,A=null!=B&&s==B.orientation?B.side:\"horizontal\"==s?\"below\":\"right\",O=(()=>{switch(A){case\"above\":return c;case\"below\":return h;case\"left\":return u;case\"right\":return p}})(),{_axis_view:R}=this;if(R.panel=new z.Panel(A),R.update_layout(),O.children.push(R.layout),null!=this.panel){const t=new x.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:F}=this.model;this.layout.sizing.visible=F,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:a}=e;let{width:n,height:o}=e;i+n>=this.parent.canvas_view.bbox.width&&(n-=1),a+o>=this.parent.canvas_view.bbox.height&&(o-=1),t.save(),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(t),t.fillRect(i,a,n,o)),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(t),t.strokeRect(i,a,n,o)),t.restore()}_paint_image(t,e){const{x:i,y:a,width:n,height:o}=e;t.save(),t.setImageSmoothingEnabled(!1),t.globalAlpha=this.model.scale_alpha,t.drawImage(this._image,i,a,n,o),this.visuals.bar_line.doit&&(this.visuals.bar_line.set_value(t),t.strokeRect(i,a,n,o)),t.restore()}serializable_state(){const t=super.serializable_state(),{children:e=[]}=t,i=o.__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=T,T.__name__=\"ColorBarView\";class B extends r.Annotation{constructor(t){super(t)}static init_ColorBar(){this.prototype.default_view=T,this.mixins([[\"major_label_\",y.Text],[\"title_\",y.Text],[\"major_tick_\",y.Line],[\"minor_tick_\",y.Line],[\"border_\",y.Line],[\"bar_\",y.Line],[\"background_\",y.Fill]]),this.define((({Alpha:t,Number:e,String:i,Tuple:a,Dict:n,Or:o,Ref:r,Auto:s,Nullable:l})=>({location:[o(v.Anchor,a(e,e)),\"top_right\"],orientation:[o(v.Orientation,s),\"auto\"],title:[l(i),null],title_standoff:[e,2],width:[o(e,s),\"auto\"],height:[o(e,s),\"auto\"],scale_alpha:[t,1],ticker:[o(r(c.Ticker),s),\"auto\"],formatter:[o(r(u.TickFormatter),s),\"auto\"],major_label_overrides:[n(i),{}],major_label_policy:[r(m.LabelingPolicy),()=>new m.NoOverlap],color_mapper:[r(g.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]}))),this.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\"})}}i.ColorBar=B,B.__name__=\"ColorBar\",B.init_ColorBar()},\n", - " function _(t,e,i,s,l){s();const o=t(1),a=t(139),n=t(20),r=t(143),c=o.__importStar(t(48));class h extends a.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;if(null==t||0==t.length)return{width:0,height:0};{const{ctx:e}=this.layer;this.visuals.text.set_value(e);const{width:i}=this.layer.ctx.measureText(t),{height:s}=r.font_metrics(e.font);return{width:i,height:2+s*this.model.text_line_height+this.model.standoff}}}}i.TitleView=h,h.__name__=\"TitleView\";class _ extends a.TextAnnotation{constructor(t){super(t)}static init_Title(){this.prototype.default_view=h,this.mixins([c.Text,[\"border_\",c.Line],[\"background_\",c.Fill]]),this.define((({Number:t,String:e})=>({text:[e,\"\"],vertical_align:[n.VerticalAlign,\"bottom\"],align:[n.TextAlign,\"left\"],offset:[t,0],standoff:[t,10]}))),this.prototype._props.text_align.options.internal=!0,this.prototype._props.text_baseline.options.internal=!0,this.override({text_font_size:\"13px\",text_font_style:\"bold\",text_line_height:1,background_fill_color:null,border_line_color:null})}}i.Title=_,_.__name__=\"Title\",_.init_Title()},\n", - " function _(e,t,s,i,n){i();const l=e(40),a=e(43),o=e(20),r=e(140),d=e(143),c=e(11);class _ extends l.AnnotationView{update_layout(){const{panel:e}=this;this.layout=null!=e?new r.SideLayout(e,(()=>this.get_size()),!0):void 0}initialize(){super.initialize(),\"css\"==this.model.render_mode&&(this.el=a.div(),this.plot_view.canvas_view.add_overlay(this.el))}remove(){null!=this.el&&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||a.undisplay(this.el),super.render()}_calculate_text_dimensions(e,t){const{width:s}=e.measureText(t),{height:i}=d.font_metrics(this.visuals.text.font_value());return[s,i]}_calculate_bounding_box_dimensions(e,t){const[s,i]=this._calculate_text_dimensions(e,t);let n,l;switch(e.textAlign){case\"left\":n=0;break;case\"center\":n=-s/2;break;case\"right\":n=-s;break;default:c.unreachable()}switch(e.textBaseline){case\"top\":l=0;break;case\"middle\":l=-.5*i;break;case\"bottom\":l=-1*i;break;case\"alphabetic\":l=-.8*i;break;case\"hanging\":l=-.17*i;break;case\"ideographic\":l=-.83*i;break;default:c.unreachable()}return[n,l,s,i]}_canvas_text(e,t,s,i,n){this.visuals.text.set_value(e);const l=this._calculate_bounding_box_dimensions(e,t);e.save(),e.beginPath(),e.translate(s,i),n&&e.rotate(n),e.rect(l[0],l[1],l[2],l[3]),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(e),e.fill()),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(e),e.stroke()),this.visuals.text.doit&&(this.visuals.text.set_value(e),e.fillText(t,0,0)),e.restore()}_css_text(e,t,s,i,n){const{el:l}=this;c.assert(null!=l),a.undisplay(l),this.visuals.text.set_value(e);const[o,r]=this._calculate_bounding_box_dimensions(e,t);l.style.position=\"absolute\",l.style.left=`${s+o}px`,l.style.top=`${i+r}px`,l.style.color=e.fillStyle,l.style.font=e.font,l.style.lineHeight=\"normal\",n&&(l.style.transform=`rotate(${n}rad)`),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(e),l.style.backgroundColor=e.fillStyle),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(e),l.style.borderStyle=e.lineDash.length<2?\"solid\":\"dashed\",l.style.borderWidth=`${e.lineWidth}px`,l.style.borderColor=e.strokeStyle),l.textContent=t,a.display(l)}}s.TextAnnotationView=_,_.__name__=\"TextAnnotationView\";class u extends l.Annotation{constructor(e){super(e)}static init_TextAnnotation(){this.define((()=>({render_mode:[o.RenderMode,\"canvas\"]})))}}s.TextAnnotation=u,u.__name__=\"TextAnnotation\",u.init_TextAnnotation()},\n", - " function _(t,e,i,l,r){l();const a=t(141),o=t(142),n=t(8),h=Math.PI/2,s={above:{parallel:0,normal:-h,horizontal:0,vertical:-h},below:{parallel:0,normal:h,horizontal:0,vertical:h},left:{parallel:-h,normal:0,horizontal:0,vertical:-h},right:{parallel:h,normal:0,horizontal:0,vertical:h}},c={above:{parallel:\"bottom\",normal:\"center\",horizontal:\"bottom\",vertical:\"center\"},below:{parallel:\"top\",normal:\"center\",horizontal:\"top\",vertical:\"center\"},left:{parallel:\"bottom\",normal:\"center\",horizontal:\"center\",vertical:\"bottom\"},right:{parallel:\"bottom\",normal:\"center\",horizontal:\"center\",vertical:\"bottom\"}},g={above:{parallel:\"center\",normal:\"left\",horizontal:\"center\",vertical:\"left\"},below:{parallel:\"center\",normal:\"left\",horizontal:\"center\",vertical:\"left\"},left:{parallel:\"center\",normal:\"right\",horizontal:\"right\",vertical:\"center\"},right:{parallel:\"center\",normal:\"left\",horizontal:\"left\",vertical:\"center\"}},_={above:\"right\",below:\"left\",left:\"right\",right:\"left\"},b={above:\"left\",below:\"right\",left:\"right\",right:\"left\"};class z{constructor(t){this.side=t}get dimension(){return\"above\"==this.side||\"below\"==this.side?0:1}get normals(){switch(this.side){case\"above\":return[0,-1];case\"below\":return[0,1];case\"left\":return[-1,0];case\"right\":return[1,0]}}get orientation(){return this.is_horizontal?\"horizontal\":\"vertical\"}get is_horizontal(){return 0==this.dimension}get is_vertical(){return 1==this.dimension}get_label_text_heuristics(t){const{side:e}=this;return n.isString(t)?{vertical_align:c[e][t],align:g[e][t]}:{vertical_align:\"center\",align:(t<0?_:b)[e]}}get_label_angle_heuristic(t){return n.isString(t)?s[this.side][t]:-t}}i.Panel=z,z.__name__=\"Panel\";class m extends o.ContentLayoutable{constructor(t,e,i=!1){super(),this.panel=t,this.get_size=e,this.rotate=i,this.panel.is_horizontal?this.set_sizing({width_policy:\"max\",height_policy:\"fixed\"}):this.set_sizing({width_policy:\"fixed\",height_policy:\"max\"})}_content_size(){const{width:t,height:e}=this.get_size();return!this.rotate||this.panel.is_horizontal?new a.Sizeable({width:t,height:e}):new a.Sizeable({width:e,height:t})}has_size_changed(){const{width:t,height:e}=this._content_size();return this.panel.is_horizontal?this.bbox.height!=e:this.bbox.width!=t}}i.SideLayout=m,m.__name__=\"SideLayout\"},\n", - " function _(h,t,i,e,w){e();const n=h(21),{min:d,max:s}=Math;class g{constructor(h={}){this.width=null!=h.width?h.width:0,this.height=null!=h.height?h.height:0}bounded_to({width:h,height:t}){return new g({width:this.width==1/0&&null!=h?h:this.width,height:this.height==1/0&&null!=t?t:this.height})}expanded_to({width:h,height:t}){return new g({width:h!=1/0?s(this.width,h):this.width,height:t!=1/0?s(this.height,t):this.height})}expand_to({width:h,height:t}){this.width=s(this.width,h),this.height=s(this.height,t)}narrowed_to({width:h,height:t}){return new g({width:d(this.width,h),height:d(this.height,t)})}narrow_to({width:h,height:t}){this.width=d(this.width,h),this.height=d(this.height,t)}grow_by({left:h,right:t,top:i,bottom:e}){const w=this.width+h+t,n=this.height+i+e;return new g({width:w,height:n})}shrink_by({left:h,right:t,top:i,bottom:e}){const w=s(this.width-h-t,0),n=s(this.height-i-e,0);return new g({width:w,height:n})}map(h,t){return new g({width:h(this.width),height:(null!=t?t:h)(this.height)})}}i.Sizeable=g,g.__name__=\"Sizeable\",i.SizingPolicy=n.Enum(\"fixed\",\"fit\",\"min\",\"max\")},\n", - " function _(i,t,h,e,n){e();const s=i(141),r=i(99),g=i(8),{min:l,max:a,round:_}=Math;class o{constructor(){this.absolute=!1,this._bbox=new r.BBox,this._inner_bbox=new r.BBox,this._dirty=!1,this._handlers=[]}*[Symbol.iterator](){}get bbox(){return this._bbox}get inner_bbox(){return this._inner_bbox}get sizing(){return this._sizing}set visible(i){this._sizing.visible=i,this._dirty=!0}set_sizing(i){var t,h,e,n,s;const r=null!==(t=i.width_policy)&&void 0!==t?t:\"fit\",g=i.width,l=i.min_width,a=i.max_width,_=null!==(h=i.height_policy)&&void 0!==h?h:\"fit\",o=i.height,d=i.min_height,u=i.max_height,c=i.aspect,w=null!==(e=i.margin)&&void 0!==e?e:{top:0,right:0,bottom:0,left:0},m=!1!==i.visible,x=null!==(n=i.halign)&&void 0!==n?n:\"start\",b=null!==(s=i.valign)&&void 0!==s?s:\"start\";this._sizing={width_policy:r,min_width:l,width:g,max_width:a,height_policy:_,min_height:d,height:o,max_height:u,aspect:c,margin:w,visible:m,halign:x,valign:b,size:{width:g,height:o}},this._init()}_init(){}_set_geometry(i,t){this._bbox=i,this._inner_bbox=t}set_geometry(i,t){this._set_geometry(i,null!=t?t:i);for(const i of this._handlers)i(this._bbox,this._inner_bbox)}on_resize(i){this._handlers.push(i)}is_width_expanding(){return\"max\"==this.sizing.width_policy}is_height_expanding(){return\"max\"==this.sizing.height_policy}apply_aspect(i,{width:t,height:h}){const{aspect:e}=this.sizing;if(null!=e){const{width_policy:n,height_policy:s}=this.sizing,r=(i,t)=>{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=new s.Sizeable(i).shrink_by(this.sizing.margin).map((i=>i==1/0&&\"fixed\"==this.sizing.width_policy&&null!=this.sizing.width?this.sizing.width:i),(i=>i==1/0&&\"fixed\"==this.sizing.height_policy&&null!=this.sizing.height?this.sizing.height:i)),h=this._measure(t),e=this.clip_size(h,t),n=this.apply_aspect(t,e);return Object.assign(Object.assign({},h),n)}compute(i={}){const t={width:null!=i.width&&this.is_width_expanding()?i.width:1/0,height:null!=i.height&&this.is_height_expanding()?i.height:1/0},h=this.measure(t),{width:e,height:n}=h,s=new r.BBox({left:0,top:0,width:e,height:n});let g;if(null!=h.inner){const{left:i,top:t,right:s,bottom:l}=h.inner;g=new r.BBox({left:i,top:t,right:e-s,bottom:n-l})}this.set_geometry(s,g)}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:g.isNumber(h)||(h=Math.round(h.percent*t)),null==e?e=1/0: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 _(t,e,n,r,a){r();const l=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\"),a=t.measureText(\"ÅŚg|\"),c=a.fontBoundingBoxAscent,o=a.fontBoundingBoxDescent;if(null!=c&&null!=o)return{height:c+o,ascent:c,descent:o,cap_height:n.actualBoundingBoxAscent,x_height:r.actualBoundingBoxAscent};const s=a.actualBoundingBoxAscent,u=a.actualBoundingBoxDescent;if(null!=s&&null!=u)return{height:s+u,ascent:s,descent:u,cap_height:n.actualBoundingBoxAscent,x_height:r.actualBoundingBoxAscent};l.unreachable()}})(),s=(()=>{const t=c(0,0).getContext(\"2d\");return(e,n)=>{t.font=n;const r=t.measureText(e),a=r.actualBoundingBoxAscent,c=r.actualBoundingBoxDescent;if(null!=a&&null!=c)return{width:r.width,height:a+c,ascent:a,descent:c};l.unreachable()}})(),u=(()=>{const t=document.createElement(\"canvas\"),e=t.getContext(\"2d\");let n=-1,r=-1;return(a,l=1)=>{e.font=a;const{width:c}=e.measureText(\"M\"),o=c*l,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(a,l,c=1)=>{e.font=l;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", - " function _(e,t,s,_,a){_();const r=e(145),n=e(157),g=e(156),i=e(159),c=e(104),h=e(99),o=e(13),l=e(11);class x{constructor(e,t,s,_,a={},r={}){this.in_x_scale=e,this.in_y_scale=t,this.x_range=s,this.y_range=_,this.extra_x_ranges=a,this.extra_y_ranges=r,this._bbox=new h.BBox,l.assert(null==e.source_range&&null==e.target_range),l.assert(null==t.source_range&&null==t.target_range),this._configure_scales()}get bbox(){return this._bbox}_get_ranges(e,t){return new Map(o.entries(Object.assign(Object.assign({},t),{default:e})))}_get_scales(e,t,s){const _=new Map;for(const[a,g]of t){if(g instanceof c.FactorRange!=e instanceof r.CategoricalScale)throw new Error(`Range ${g.type} is incompatible is Scale ${e.type}`);e instanceof n.LogScale&&g instanceof i.DataRange1d&&(g.scale_hint=\"log\");const t=e.clone();t.setv({source_range:g,target_range:s}),_.set(a,t)}return _}_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._x_ranges,this._x_target),this._y_scales=this._get_scales(this.in_y_scale,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 o.to_object(this.x_scales)}get yscales(){return o.to_object(this.y_scales)}}s.CartesianFrame=x,x.__name__=\"CartesianFrame\"},\n", - " function _(e,t,r,n,_){n();const c=e(146);class s extends c.Scale{constructor(e){super(e)}get s_compute(){const[e,t]=this._linear_compute_state(),r=this.source_range;return n=>e*r.synthetic(n)+t}compute(e){return super._linear_compute(this.source_range.synthetic(e))}v_compute(e){return super._linear_v_compute(this.source_range.v_synthetic(e))}invert(e){return this._linear_invert(e)}v_invert(e){return this._linear_v_invert(e)}}r.CategoricalScale=s,s.__name__=\"CategoricalScale\"},\n", - " function _(t,e,r,n,s){n();const i=t(147),_=t(105),a=t(156),c=t(24);class o extends i.Transform{constructor(t){super(t)}static init_Scale(){this.internal((({Ref:t})=>({source_range:[t(_.Range)],target_range:[t(a.Range1d)]})))}r_compute(t,e){return this.target_range.is_reversed?[this.compute(e),this.compute(t)]:[this.compute(t),this.compute(e)]}r_invert(t,e){return this.target_range.is_reversed?[this.invert(e),this.invert(t)]:[this.invert(t),this.invert(e)]}_linear_compute(t){const[e,r]=this._linear_compute_state();return e*t+r}_linear_v_compute(t){const[e,r]=this._linear_compute_state(),n=new c.ScreenArray(t.length);for(let s=0;s({args:[s(t),{}],func:[r,\"\"],v_func:[r,\"\"]})))}get names(){return o.keys(this.args)}get values(){return o.values(this.args)}_make_transform(t,r){return new Function(...this.names,t,u.use_strict(r))}get scalar_transform(){return this._make_transform(\"x\",this.func)}get vector_transform(){return this._make_transform(\"xs\",this.v_func)}compute(t){return this.scalar_transform(...this.values,t)}v_compute(t){return this.vector_transform(...this.values,t)}}s.CustomJSTransform=m,m.__name__=\"CustomJSTransform\",m.init_CustomJSTransform()},\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,o,s){o();const i=e(151);class r extends i.RangeTransform{constructor(e){super(e)}static init_Dodge(){this.define((({Number:e})=>({value:[e,0]})))}_compute(e){return e+this.value}}n.Dodge=r,r.__name__=\"Dodge\",r.init_Dodge()},\n", - " function _(e,n,t,r,s){r();const a=e(149),i=e(105),o=e(104),c=e(24),f=e(8);class u extends a.Transform{constructor(e){super(e)}static init_RangeTransform(){this.define((({Ref:e,Nullable:n})=>({range:[n(e(i.Range)),null]})))}v_compute(e){let n;if(this.range instanceof o.FactorRange)n=this.range.v_synthetic(e);else{if(!f.isArrayableOf(e,f.isNumber))throw new Error(\"unexpected\");n=e}const t=new(c.infer_type(n))(n.length);for(let e=0;e({x:[s(r,o(e))],y:[s(r,o(e))],data:[a(n(i.ColumnarDataSource)),null],clip:[t,!0]})))}connect_signals(){super.connect_signals(),this.connect(this.change,(()=>this._sorted_dirty=!0))}v_compute(t){const e=new(a.infer_type(t))(t.length);for(let r=0;rs*(e[t]-e[r]))),this._x_sorted=new(a.infer_type(e))(n),this._y_sorted=new(a.infer_type(r))(n);for(let t=0;t({mean:[t,0],width:[t,1],distribution:[o.Distribution,\"uniform\"]})))}v_compute(t){return null!=this.previous_values&&this.previous_values.length==t.length||(this.previous_values=super.v_compute(t)),this.previous_values}_compute(t){switch(this.distribution){case\"uniform\":return t+this.mean+(a.random()-.5)*this.width;case\"normal\":return t+a.rnorm(this.mean,this.width)}}}e.Jitter=h,h.__name__=\"Jitter\",h.init_Jitter()},\n", - " function _(t,s,_,r,e){r();const i=t(9),o=t(152);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=i.find_last_index(this._x_sorted,(s=>s({mode:[_.StepMode,\"after\"]})))}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]}let e;switch(this.mode){case\"after\":e=n.find_last_index(this._x_sorted,(e=>t>=e));break;case\"before\":e=n.find_index(this._x_sorted,(e=>t<=e));break;case\"center\":{const s=n.map(this._x_sorted,(e=>Math.abs(e-t))),r=n.min(s);e=n.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=d,d.__name__=\"StepInterpolator\",d.init_StepInterpolator()},\n", - " function _(t,e,s,n,i){n();const a=t(105);class r extends a.Range{constructor(t){super(t)}static init_Range1d(){this.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}}]})))}_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 r({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 r({start:e,end:s})}}s.Range1d=r,r.__name__=\"Range1d\",r.init_Range1d()},\n", - " function _(t,e,o,n,s){n();const a=t(158),r=t(24);class c extends a.ContinuousScale{constructor(t){super(t)}get s_compute(){const[t,e,o,n]=this._compute_state();return s=>{if(0==o)return 0;{const a=(Math.log(s)-n)/o;return isFinite(a)?a*t+e:NaN}}}compute(t){const[e,o,n,s]=this._compute_state();let a;if(0==n)a=0;else{const r=(Math.log(t)-s)/n;a=isFinite(r)?r*e+o:NaN}return a}v_compute(t){const[e,o,n,s]=this._compute_state(),a=new r.ScreenArray(t.length);if(0==n)for(let e=0;e({start:[i],end:[i],range_padding:[i,.1],range_padding_units:[_.PaddingUnits,\"percent\"],flipped:[t,!1],follow:[n(_.StartEnd),null],follow_interval:[n(i),null],default_span:[i,2],only_visible:[t,!1]}))),this.internal((({Enum:t})=>({scale_hint:[t(\"log\",\"auto\"),\"auto\"]})))}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=o.concat(this.plots.map((t=>t.data_renderers)));return d.compute_renderers(0==t.length?\"auto\":t,n,i)}_compute_plot_bounds(t,i){let n=r.empty();for(const a of t){const t=i.get(a);null==t||!a.visible&&this.only_visible||(n=r.union(n,t))}return n}adjust_bounds_for_aspect(t,i){const n=r.empty();let a=t.x1-t.x0;a<=0&&(a=1);let e=t.y1-t.y0;e<=0&&(e=1);const s=.5*(t.x1+t.x0),l=.5*(t.y1+t.y0);return al&&(\"start\"==this.follow?e=a+s*l:\"end\"==this.follow&&(a=e-s*l)),[a,e]}update(t,i,n,a){if(this.have_updated_interactively)return;const e=this.computed_renderers();let s=this._compute_plot_bounds(e,t);null!=a&&(s=this.adjust_bounds_for_aspect(s,a)),this._plot_bounds.set(n,s);const[l,_]=this._compute_min_max(this._plot_bounds.values(),i);let[o,h]=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&&(h=this._initial_end):h=this._initial_end);let r=!1;\"auto\"==this.bounds&&(this.setv({bounds:[o,h]},{silent:!0}),r=!0);const[d,u]=[this.start,this.end];if(o!=d||h!=u){const t={};o!=d&&(t.start=o),h!=u&&(t.end=h),this.setv(t),r=!1}r&&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=u,u.__name__=\"DataRange1d\",u.init_DataRange1d()},\n", - " function _(a,e,n,t,r){t();const s=a(105),i=a(62);class R extends s.Range{constructor(a){super(a)}static init_DataRange(){this.define((({String:a,Array:e,Ref:n})=>({names:[e(a),[]],renderers:[e(n(i.DataRenderer)),[]]})))}}n.DataRange=R,R.__name__=\"DataRange\",R.init_DataRange()},\n", - " function _(n,e,t,r,u){r();const l=n(9);t.compute_renderers=function(n,e,t){if(null==n)return[];let r=\"auto\"==n?e:n;return t.length>0&&(r=r.filter((n=>l.includes(t,n.name)))),r}},\n", - " function _(i,s,x,A,o){A(),o(\"Axis\",i(163).Axis),o(\"CategoricalAxis\",i(170).CategoricalAxis),o(\"ContinuousAxis\",i(173).ContinuousAxis),o(\"DatetimeAxis\",i(174).DatetimeAxis),o(\"LinearAxis\",i(175).LinearAxis),o(\"LogAxis\",i(192).LogAxis),o(\"MercatorAxis\",i(195).MercatorAxis)},\n", - " function _(t,e,i,s,o){s();const n=t(1),a=t(164),l=t(165),r=t(166),_=t(169),h=n.__importStar(t(48)),c=t(20),b=t(24),m=t(140),d=t(9),u=t(8),x=t(167),g=t(104),{abs:f}=Math;class p extends a.GuideRendererView{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(),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,[o,n]=this.coordinates.map_to_screen(i,s),[a,l]=this.normals,[r,_]=this.offsets;this.visuals.axis_line.set_value(t),t.beginPath();for(let e=0;e0?o+s+3:0}_draw_axis_label(t,e,i){const s=this.model.axis_label;if(!s||null!=this.model.fixed_location)return;const o=new x.TextBox({text:s});o.angle=this.panel.get_label_angle_heuristic(\"parallel\"),o.visuals=this.visuals.axis_label_text;const[n,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]}})(),[l,r]=this.normals,_=e.tick+e.tick_label+this.model.axis_label_standoff,{vertical_align:h,align:c}=this.panel.get_label_text_heuristics(\"parallel\");o.position={sx:n+l*_,sy:a+r*_,x_anchor:c,y_anchor:h},o.align=c,o.paint(t)}_draw_ticks(t,e,i,s,o){if(!o.doit)return;const[n,a]=e,[l,r]=this.coordinates.map_to_screen(n,a),[_,h]=this.normals,[c,b]=this.offsets,[m,d]=[_*(c-i),h*(b-i)],[u,x]=[_*(c+s),h*(b+s)];o.set_value(t),t.beginPath();for(let e=0;et.bbox())),O=(()=>{const[t]=this.ranges;return t.is_reversed?0==this.dimension?(t,e)=>T[t].left-T[e].right:(t,e)=>T[e].top-T[t].bottom:0==this.dimension?(t,e)=>T[e].left-T[t].right:(t,e)=>T[t].top-T[e].bottom})(),{major_label_policy:A}=this.model,M=A.filter(v,T,O),z=[...M.ones()];if(0!=z.length){const t=this.parent.canvas_view.bbox,e=e=>{const i=T[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:o}=y[e];y[e].position=Object.assign(Object.assign({},o),{sx:o.sx-s})}},i=e=>{const i=T[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:o}=y[e];y[e].position=Object.assign(Object.assign({},o),{sy:o.sy-s})}},s=z[0],o=z[z.length-1];0==this.dimension?(e(s),e(o)):(i(s),i(o))}for(const e of M){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,o=this.visuals.major_label_text;return[this._oriented_labels_extent(e,i,s,o)]}get extents(){const t=this._tick_label_extents();return{tick:this._tick_extent(),tick_labels:t,tick_label:d.sum(t),axis_label:this._axis_label_extent()}}_oriented_labels_extent(t,e,i,s){if(0==t.length)return 0;const o=this.panel.get_label_angle_heuristic(e);t.visuals=s,t.angle=o;const n=t.max_size(),a=0==this.dimension?n.height:n.width;return a>0?i+a+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_overrides:i}=this.model;for(let s=0;sf(a-l)?(t=_(r(o,n),a),s=r(_(o,n),l)):(t=r(o,n),s=_(o,n)),[t,s]}}get rule_coords(){const t=this.dimension,e=(t+1)%2,[i]=this.ranges,[s,o]=this.computed_bounds,n=[new Array(2),new Array(2)];return n[t][0]=Math.max(s,i.min),n[t][1]=Math.min(o,i.max),n[t][0]>n[t][1]&&(n[t][0]=n[t][1]=NaN),n[e][0]=this.loc,n[e][1]=this.loc,n}get tick_coords(){const t=this.dimension,e=(t+1)%2,[i]=this.ranges,[s,o]=this.computed_bounds,n=this.model.ticker.get_ticks(s,o,i,this.loc),a=n.major,l=n.minor,r=[[],[]],_=[[],[]],[h,c]=[i.min,i.max];for(let i=0;ic||(r[t].push(a[i]),r[e].push(this.loc));for(let i=0;ic||(_[t].push(l[i]),_[e].push(this.loc));return{major:r,minor:_}}get loc(){const{fixed_location:t}=this.model;if(null!=t){if(u.isNumber(t))return t;const[,e]=this.ranges;if(e instanceof g.FactorRange)return e.synthetic(t);throw new Error(\"unexpected\")}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})}}i.AxisView=p,p.__name__=\"AxisView\";class k extends a.GuideRenderer{constructor(t){super(t)}static init_Axis(){this.prototype.default_view=p,this.mixins([[\"axis_\",h.Line],[\"major_tick_\",h.Line],[\"minor_tick_\",h.Line],[\"major_label_\",h.Text],[\"axis_label_\",h.Text]]),this.define((({Any:t,Int:e,Number:i,String:s,Ref:o,Dict:n,Tuple:a,Or:h,Nullable:b,Auto:m})=>({bounds:[h(a(i,i),m),\"auto\"],ticker:[o(l.Ticker)],formatter:[o(r.TickFormatter)],axis_label:[b(s),\"\"],axis_label_standoff:[e,5],major_label_standoff:[e,5],major_label_orientation:[h(c.TickLabelOrientation,i),\"horizontal\"],major_label_overrides:[n(s),{}],major_label_policy:[o(_.LabelingPolicy),()=>new _.AllLabels],major_tick_in:[i,2],major_tick_out:[i,6],minor_tick_in:[i,0],minor_tick_out:[i,4],fixed_location:[b(h(i,t)),null]}))),this.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\"})}}i.Axis=k,k.__name__=\"Axis\",k.init_Axis()},\n", - " function _(e,r,d,i,n){i();const s=e(41);class t extends s.RendererView{}d.GuideRendererView=t,t.__name__=\"GuideRendererView\";class _ extends s.Renderer{constructor(e){super(e)}static init_GuideRenderer(){this.override({level:\"guide\"})}}d.GuideRenderer=_,_.__name__=\"GuideRenderer\",_.init_GuideRenderer()},\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(167);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 _(t,e,s,i,n){i();const h=t(99),o=t(143),r=t(9),a=t(8),c=t(168),_=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}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.align=\"left\",this.text=t}set visuals(t){const e=t.text_color.get_value(),s=t.text_alpha.get_value(),i=t.text_font_style.get_value();let n=t.text_font_size.get_value();const h=t.text_font.get_value(),{font_size_scale:o}=this;if(1!=o){const t=n.match(/^\\s*(\\d+(\\.\\d+)?)(\\w+)\\s*$/);if(null!=t){const[,e,,s]=t,i=Number(e);isNaN(i)||(n=`${i*o}${s}`)}}const r=`${i} ${n} ${h}`;this.font=r,this.color=_.color2css(e,s),this.line_height=t.text_line_height.get_value()}infer_text_height(){if(this.text.includes(\"\\n\"))return\"ascent_descent\";return function(t){for(const e of new Set(t))if(!(\"0\"<=e&&e<=\"9\"))switch(e){case\",\":case\".\":case\"+\":case\"-\":case\"−\":case\"e\":continue;default:return!1}return!0}(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=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=>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: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=\"left\",y_anchor:c=\"center\"}=this.position;return{x:h-(()=>{if(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(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=o.font_metrics(n),a=(this.line_height-1)*h.height,c=this.text.split(\"\\n\"),_=c.length,l=c.map((t=>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,g=\"%\"==(null===(i=this.height)||void 0===i?void 0:i.unit)?this.height.value:1,f=r.max(l)*p,d=(u+a*(_-1))*g;t.save(),t.fillStyle=this.color,t.font=this.font,t.textAlign=\"left\",t.textBaseline=\"alphabetic\";const{sx:m,sy:b}=this.position,{align:y}=this,{angle:w}=this;w&&(t.translate(m,b),t.rotate(w),t.translate(-m,-b));let{x:v,y:z}=this._computed_position({width:f,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=>s.text_width(t,n))),l=(f-r.sum(_))/(o-1);for(let e=0;e{switch(y){case\"left\":return 0;case\"center\":return.5*(f-l[e]);case\"right\":return f-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 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}=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=\"left\",y_anchor:h=\"center\"}=this.position;return{x:s-(()=>{if(a.isNumber(n))return n*t;switch(n){case\"left\":return 0;case\"center\":return.5*t;case\"right\":return t}})(),y:i-(()=>{if(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}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=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,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})`}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,p=t.length;for(let o=0;o({min_distance:[e,5]})))}filter(e,n,s){const{min_distance:t}=this;let i=null;for(const n of e)null!=i&&s(i,n)({args:[s(e),{}],code:[n,\"\"]})))}get names(){return c.keys(this.args)}get values(){return c.values(this.args)}get func(){const e=o.use_strict(this.code);return new a.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 l=i.next();if(l.done&&void 0!==l.value){const{value:n}=l;return n instanceof a.Indices?n:void 0===n?e:r.isIterable(n)?a.Indices.from_indices(e.size,n):a.Indices.all_unset(e.size)}{const n=[];do{n.push(l.value),l=i.next()}while(!l.done);return a.Indices.from_indices(e.size,n)}}}s.CustomLabelingPolicy=m,m.__name__=\"CustomLabelingPolicy\",m.init_CustomLabelingPolicy()},\n", - " function _(t,s,e,o,i){o();const a=t(1),r=t(163),l=t(171),_=t(172),n=a.__importStar(t(48)),c=t(20),p=t(167),h=t(8);class m extends r.AxisView{_paint(t,s,e){this._draw_group_separators(t,s,e)}_draw_group_separators(t,s,e){const[o]=this.ranges,[i,a]=this.computed_bounds;if(!o.tops||o.tops.length<2||!this.visuals.separator_line.doit)return;const r=this.dimension,l=(r+1)%2,_=[[],[]];let n=0;for(let t=0;ti&&cnew p.GraphicsBoxes(t.map((t=>h.isString(t)?new p.TextBox({text:t}):t))),_=t=>l(this.model.formatter.doFormat(t,this));if(1==t.levels){const t=_(i.major);r.push([t,a.major,this.model.major_label_orientation,this.visuals.major_label_text])}else if(2==t.levels){const t=_(i.major.map((t=>t[1])));r.push([t,a.major,this.model.major_label_orientation,this.visuals.major_label_text]),r.push([l(i.tops),a.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]));r.push([t,a.major,this.model.major_label_orientation,this.visuals.major_label_text]),r.push([l(s),a.mids,this.model.subgroup_label_orientation,this.visuals.subgroup_text]),r.push([l(i.tops),a.tops,this.model.group_label_orientation,this.visuals.group_text])}return r}get tick_coords(){const t=this.dimension,s=(t+1)%2,[e]=this.ranges,[o,i]=this.computed_bounds,a=this.model.ticker.get_ticks(o,i,e,this.loc),r={major:[[],[]],mids:[[],[]],tops:[[],[]],minor:[[],[]]};return r.major[t]=a.major,r.major[s]=a.major.map((()=>this.loc)),3==e.levels&&(r.mids[t]=a.mids,r.mids[s]=a.mids.map((()=>this.loc))),e.levels>1&&(r.tops[t]=a.tops,r.tops[s]=a.tops.map((()=>this.loc))),r}}e.CategoricalAxisView=m,m.__name__=\"CategoricalAxisView\";class u extends r.Axis{constructor(t){super(t)}static init_CategoricalAxis(){this.prototype.default_view=m,this.mixins([[\"separator_\",n.Line],[\"group_\",n.Text],[\"subgroup_\",n.Text]]),this.define((({Number:t,Or:s})=>({group_label_orientation:[s(c.TickLabelOrientation,t),\"parallel\"],subgroup_label_orientation:[s(c.TickLabelOrientation,t),\"parallel\"]}))),this.override({ticker:()=>new l.CategoricalTicker,formatter:()=>new _.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\"})}}e.CategoricalAxis=u,u.__name__=\"CategoricalAxis\",u.init_CategoricalAxis()},\n", - " function _(t,c,o,s,e){s();const r=t(165);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 m.DatetimeTicker,formatter:()=>new r.DatetimeTickFormatter})}}i.DatetimeAxis=c,c.__name__=\"DatetimeAxis\",c.init_DatetimeAxis()},\n", - " function _(i,e,s,n,t){n();const r=i(173),a=i(176),o=i(177);class c extends r.ContinuousAxisView{}s.LinearAxisView=c,c.__name__=\"LinearAxisView\";class _ extends r.ContinuousAxis{constructor(i){super(i)}static init_LinearAxis(){this.prototype.default_view=c,this.override({ticker:()=>new o.BasicTicker,formatter:()=>new a.BasicTickFormatter})}}s.LinearAxis=_,_.__name__=\"LinearAxis\",_.init_LinearAxis()},\n", - " function _(i,t,e,n,o){n();const s=i(166),r=i(34);function c(i){let t=\"\";for(const e of i)t+=\"-\"==e?\"−\":e;return t}e.unicode_replace=c;class _ extends s.TickFormatter{constructor(i){super(i),this.last_precision=3}static init_BasicTickFormatter(){this.define((({Boolean:i,Int:t,Auto:e,Or:n})=>({precision:[n(t,e),\"auto\"],use_scientific:[i,!0],power_limit_high:[t,5],power_limit_low:[t,-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=>c(i.toExponential(e)))):i.map((i=>c(r.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({base:[t,10],mantissas:[i(t),[1,2,5]],min_interval:[t,0],max_interval:[a(t),null]})))}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 t=r.nth(this.mantissas,-1)/this.base,i=r.nth(this.mantissas,0)*this.base;this.extended_mantissas=[t,...this.mantissas,i],this.base_factor=0===this.get_min_interval()?1:this.get_min_interval()}get_interval(t,i,a){const e=i-t,s=this.get_ideal_interval(t,i,a),n=Math.floor(_.log(s/this.base_factor,this.base)),l=this.base**n*this.base_factor,h=this.extended_mantissas,m=h.map((t=>Math.abs(a-e/(t*l)))),v=h[r.argmin(m)]*l;return _.clamp(v,this.get_min_interval(),this.get_max_interval())}}a.AdaptiveTicker=l,l.__name__=\"AdaptiveTicker\",l.init_AdaptiveTicker()},\n", - " function _(t,i,n,s,e){s();const o=t(165),r=t(9);class c extends o.Ticker{constructor(t){super(t)}static init_ContinuousTicker(){this.define((({Int:t})=>({num_minor_ticks:[t,5],desired_num_ticks:[t,6]})))}get_ticks(t,i,n,s){return this.get_ticks_no_defaults(t,i,s,this.desired_num_ticks)}get_ticks_no_defaults(t,i,n,s){const e=this.get_interval(t,i,s),o=Math.floor(t/e),c=Math.ceil(i/e);let _;_=isFinite(o)&&isFinite(c)?r.range(o,c+1):[];const u=_.map((t=>t*e)).filter((n=>t<=n&&n<=i)),a=this.num_minor_ticks,f=[];if(a>0&&u.length>0){const n=e/a,s=r.range(0,a).map((t=>t*n));for(const n of s.slice(1)){const s=u[0]-n;t<=s&&s<=i&&f.push(s)}for(const n 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i,s,a,o,p,c,l,u,f,d=1,g=t.length,y=\"\";for(s=0;s=0),o.type){case\"b\":i=parseInt(i,10).toString(2);break;case\"c\":i=String.fromCharCode(parseInt(i,10));break;case\"d\":case\"i\":i=parseInt(i,10);break;case\"j\":i=JSON.stringify(i,null,o.width?parseInt(o.width):0);break;case\"e\":i=o.precision?parseFloat(i).toExponential(o.precision):parseFloat(i).toExponential();break;case\"f\":i=o.precision?parseFloat(i).toFixed(o.precision):parseFloat(i);break;case\"g\":i=o.precision?String(Number(i.toPrecision(o.precision))):parseFloat(i);break;case\"o\":i=(parseInt(i,10)>>>0).toString(8);break;case\"s\":i=String(i),i=o.precision?i.substring(0,o.precision):i;break;case\"t\":i=String(!!i),i=o.precision?i.substring(0,o.precision):i;break;case\"T\":i=Object.prototype.toString.call(i).slice(8,-1).toLowerCase(),i=o.precision?i.substring(0,o.precision):i;break;case\"u\":i=parseInt(i,10)>>>0;break;case\"v\":i=i.valueOf(),i=o.precision?i.substring(0,o.precision):i;break;case\"x\":i=(parseInt(i,10)>>>0).toString(16);break;case\"X\":i=(parseInt(i,10)>>>0).toString(16).toUpperCase()}e.json.test(o.type)?y+=i:(!e.number.test(o.type)||u&&!o.sign?f=\"\":(f=u?\"+\":\"-\",i=i.toString().replace(e.sign,\"\")),c=o.pad_char?\"0\"===o.pad_char?\"0\":o.pad_char.charAt(1):\" \",l=o.width-(f+i).length,p=o.width&&l>0?c.repeat(l):\"\",y+=o.align?f+i+p:\"0\"===c?f+p+i:p+f+i)}return y}var s=Object.create(null);function a(n){if(s[n])return s[n];for(var t,r=n,i=[],a=0;r;){if(null!==(t=e.text.exec(r)))i.push(t[0]);else if(null!==(t=e.modulo.exec(r)))i.push(\"%\");else{if(null===(t=e.placeholder.exec(r)))throw new SyntaxError(\"[sprintf] unexpected placeholder\");if(t[2]){a|=1;var o=[],p=t[2],c=[];if(null===(c=e.key.exec(p)))throw new SyntaxError(\"[sprintf] failed to parse named argument key\");for(o.push(c[1]);\"\"!==(p=p.substring(c[0].length));)if(null!==(c=e.key_access.exec(p)))o.push(c[1]);else{if(null===(c=e.index_access.exec(p)))throw new SyntaxError(\"[sprintf] failed to parse named argument key\");o.push(c[1])}t[2]=o}else a|=2;if(3===a)throw new Error(\"[sprintf] mixing positional and named placeholders is not (yet) supported\");i.push({placeholder:t[0],param_no:t[1],keys:t[2],sign:t[3],pad_char:t[4],align:t[5],width:t[6],precision:t[7],type:t[8]})}r=r.substring(t[0].length)}return s[n]=i}void 0!==t&&(t.sprintf=n,t.vsprintf=r),\"undefined\"!=typeof window&&(window.sprintf=n,window.vsprintf=r,\"function\"==typeof define&&define.amd&&define((function(){return{sprintf:n,vsprintf:r}})))}()},\n", - " function _(e,i,n,t,a){t();const s=e(9),r=e(178),c=e(186),m=e(187),_=e(190),k=e(191),o=e(189);class T extends c.CompositeTicker{constructor(e){super(e)}static init_DatetimeTicker(){this.override({num_minor_ticks:0,tickers:()=>[new r.AdaptiveTicker({mantissas:[1,2,5],base:10,min_interval:0,max_interval:500*o.ONE_MILLI,num_minor_ticks:0}),new r.AdaptiveTicker({mantissas:[1,2,5,10,15,20,30],base:60,min_interval:o.ONE_SECOND,max_interval:30*o.ONE_MINUTE,num_minor_ticks:0}),new r.AdaptiveTicker({mantissas:[1,2,4,6,8,12],base:24,min_interval:o.ONE_HOUR,max_interval:12*o.ONE_HOUR,num_minor_ticks:0}),new m.DaysTicker({days:s.range(1,32)}),new m.DaysTicker({days:s.range(1,31,3)}),new m.DaysTicker({days:[1,8,15,22]}),new m.DaysTicker({days:[1,15]}),new _.MonthsTicker({months:s.range(0,12,1)}),new _.MonthsTicker({months:s.range(0,12,2)}),new _.MonthsTicker({months:s.range(0,12,4)}),new _.MonthsTicker({months:s.range(0,12,6)}),new k.YearsTicker({})]})}}n.DatetimeTicker=T,T.__name__=\"DatetimeTicker\",T.init_DatetimeTicker()},\n", - " function _(t,e,i,s,r){s();const n=t(179),_=t(9);class a extends n.ContinuousTicker{constructor(t){super(t)}static init_CompositeTicker(){this.define((({Array:t,Ref:e})=>({tickers:[t(e(n.ContinuousTicker)),[]]})))}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 s=e-t,r=this.get_ideal_interval(t,e,i),n=[_.sorted_index(this.min_intervals,r)-1,_.sorted_index(this.max_intervals,r)],a=[this.min_intervals[n[0]],this.max_intervals[n[1]]].map((t=>Math.abs(i-s/t)));let c;if(_.is_empty(a.filter((t=>!isNaN(t)))))c=this.tickers[0];else{const t=n[_.argmin(a)];c=this.tickers[t]}return c}get_interval(t,e,i){return this.get_best_ticker(t,e,i).get_interval(t,e,i)}get_ticks_no_defaults(t,e,i,s){return this.get_best_ticker(t,e,s).get_ticks_no_defaults(t,e,i,s)}}i.CompositeTicker=a,a.__name__=\"CompositeTicker\",a.init_CompositeTicker()},\n", - " function _(t,e,n,i,s){i();const a=t(188),o=t(189),r=t(9);class c extends a.SingleIntervalTicker{constructor(t){super(t)}static init_DaysTicker(){this.define((({Int:t,Array:e})=>({days:[e(t),[]]}))),this.override({num_minor_ticks:0})}initialize(){super.initialize();const t=this.days;t.length>1?this.interval=(t[1]-t[0])*o.ONE_DAY:this.interval=31*o.ONE_DAY}get_ticks_no_defaults(t,e,n,i){const s=function(t,e){const n=o.last_month_no_later_than(new Date(t)),i=o.last_month_no_later_than(new Date(e));i.setUTCMonth(i.getUTCMonth()+1);const s=[],a=n;for(;s.push(o.copy_date(a)),a.setUTCMonth(a.getUTCMonth()+1),!(a>i););return s}(t,e),a=this.days,c=this.interval;return{major:r.concat(s.map((t=>((t,e)=>{const n=t.getUTCMonth(),i=[];for(const s of a){const a=o.copy_date(t);a.setUTCDate(s),new Date(a.getTime()+e/2).getUTCMonth()==n&&i.push(a)}return i})(t,c)))).map((t=>t.getTime())).filter((n=>t<=n&&n<=e)),minor:[]}}}n.DaysTicker=c,c.__name__=\"DaysTicker\",c.init_DaysTicker()},\n", - " function _(e,t,n,i,r){i();const l=e(179);class a extends l.ContinuousTicker{constructor(e){super(e)}static init_SingleIntervalTicker(){this.define((({Number:e})=>({interval:[e]})))}get_interval(e,t,n){return this.interval}get_min_interval(){return this.interval}get_max_interval(){return this.interval}}n.SingleIntervalTicker=a,a.__name__=\"SingleIntervalTicker\",a.init_SingleIntervalTicker()},\n", - " function _(t,n,e,_,E){function N(t){return new Date(t.getTime())}function O(t){const n=N(t);return n.setUTCDate(1),n.setUTCHours(0),n.setUTCMinutes(0),n.setUTCSeconds(0),n.setUTCMilliseconds(0),n}_(),e.ONE_MILLI=1,e.ONE_SECOND=1e3,e.ONE_MINUTE=60*e.ONE_SECOND,e.ONE_HOUR=60*e.ONE_MINUTE,e.ONE_DAY=24*e.ONE_HOUR,e.ONE_MONTH=30*e.ONE_DAY,e.ONE_YEAR=365*e.ONE_DAY,e.copy_date=N,e.last_month_no_later_than=O,e.last_year_no_later_than=function(t){const n=O(t);return n.setUTCMonth(0),n}},\n", - " function _(t,e,n,i,s){i();const r=t(188),a=t(189),o=t(9);class c extends r.SingleIntervalTicker{constructor(t){super(t)}static init_MonthsTicker(){this.define((({Int:t,Array:e})=>({months:[e(t),[]]})))}initialize(){super.initialize();const t=this.months;t.length>1?this.interval=(t[1]-t[0])*a.ONE_MONTH:this.interval=12*a.ONE_MONTH}get_ticks_no_defaults(t,e,n,i){const s=function(t,e){const n=a.last_year_no_later_than(new Date(t)),i=a.last_year_no_later_than(new Date(e));i.setUTCFullYear(i.getUTCFullYear()+1);const s=[],r=n;for(;s.push(a.copy_date(r)),r.setUTCFullYear(r.getUTCFullYear()+1),!(r>i););return s}(t,e),r=this.months;return{major:o.concat(s.map((t=>r.map((e=>{const n=a.copy_date(t);return n.setUTCMonth(e),n}))))).map((t=>t.getTime())).filter((n=>t<=n&&n<=e)),minor:[]}}}n.MonthsTicker=c,c.__name__=\"MonthsTicker\",c.init_MonthsTicker()},\n", - " function _(e,t,a,i,r){i();const n=e(177),_=e(188),s=e(189);class c extends _.SingleIntervalTicker{constructor(e){super(e)}initialize(){super.initialize(),this.interval=s.ONE_YEAR,this.basic_ticker=new n.BasicTicker({num_minor_ticks:0})}get_ticks_no_defaults(e,t,a,i){const r=s.last_year_no_later_than(new Date(e)).getUTCFullYear(),n=s.last_year_no_later_than(new Date(t)).getUTCFullYear();return{major:this.basic_ticker.get_ticks_no_defaults(r,n,a,i).major.map((e=>Date.UTC(e,0,1))).filter((a=>e<=a&&a<=t)),minor:[]}}}a.YearsTicker=c,c.__name__=\"YearsTicker\"},\n", - " function _(i,s,t,e,o){e();const n=i(173),r=i(193),_=i(194);class c extends n.ContinuousAxisView{}t.LogAxisView=c,c.__name__=\"LogAxisView\";class x extends n.ContinuousAxis{constructor(i){super(i)}static init_LogAxis(){this.prototype.default_view=c,this.override({ticker:()=>new _.LogTicker,formatter:()=>new r.LogTickFormatter})}}t.LogAxis=x,x.__name__=\"LogAxis\",x.init_LogAxis()},\n", - " function _(t,e,r,i,n){i();const o=t(166),a=t(176),s=t(194),c=t(167),{log:l,round:u}=Math;class _ extends o.TickFormatter{constructor(t){super(t)}static init_LogTickFormatter(){this.define((({Ref:t,Nullable:e})=>({ticker:[e(t(s.LogTicker)),null]})))}initialize(){super.initialize(),this.basic_formatter=new a.BasicTickFormatter}format_graphics(t,e){var r,i;if(0==t.length)return[];const n=null!==(i=null===(r=this.ticker)||void 0===r?void 0:r.base)&&void 0!==i?i:10,o=this._exponents(t,n);return null==o?this.basic_formatter.format_graphics(t,e):o.map((t=>{const e=new c.TextBox({text:a.unicode_replace(`${n}`)}),r=new c.TextBox({text:a.unicode_replace(`${t}`)});return new c.BaseExpo(e,r)}))}_exponents(t,e){let r=null;const i=[];for(const n of t){const t=u(l(n)/l(e));if(r==t)return null;r=t,i.push(t)}return i}doFormat(t,e){var r,i;if(0==t.length)return[];const n=null!==(i=null===(r=this.ticker)||void 0===r?void 0:r.base)&&void 0!==i?i:10,o=this._exponents(t,n);return null==o?this.basic_formatter.doFormat(t,e):o.map((t=>a.unicode_replace(`${n}^${t}`)))}}r.LogTickFormatter=_,_.__name__=\"LogTickFormatter\",_.init_LogTickFormatter()},\n", - " function _(t,o,e,i,s){i();const n=t(178),r=t(9);class c extends n.AdaptiveTicker{constructor(t){super(t)}static init_LogTicker(){this.override({mantissas:[1,5]})}get_ticks_no_defaults(t,o,e,i){const s=this.num_minor_ticks,n=[],c=this.base,a=Math.log(t)/Math.log(c),f=Math.log(o)/Math.log(c),l=f-a;let h;if(isFinite(l))if(l<2){const e=this.get_interval(t,o,i),c=Math.floor(t/e),a=Math.ceil(o/e);if(h=r.range(c,a+1).filter((t=>0!=t)).map((t=>t*e)).filter((e=>t<=e&&e<=o)),s>0&&h.length>0){const t=e/s,o=r.range(0,s).map((o=>o*t));for(const t of o.slice(1))n.push(h[0]-t);for(const t of h)for(const e of o)n.push(t+e)}}else{const t=Math.ceil(.999999*a),o=Math.floor(1.000001*f),e=Math.ceil((o-t)/9);if(h=r.range(t-1,o+1,e).map((t=>c**t)),s>0&&h.length>0){const t=c**e/s,o=r.range(1,s+1).map((o=>o*t));for(const t of o)n.push(h[0]/t);n.push(h[0]);for(const t of h)for(const e of o)n.push(t*e)}}else h=[];return{major:h.filter((e=>t<=e&&e<=o)),minor:n.filter((e=>t<=e&&e<=o))}}}e.LogTicker=c,c.__name__=\"LogTicker\",c.init_LogTicker()},\n", - " function _(e,t,i,r,s){r();const a=e(163),o=e(175),c=e(196),n=e(197);class _ extends a.AxisView{}i.MercatorAxisView=_,_.__name__=\"MercatorAxisView\";class x extends o.LinearAxis{constructor(e){super(e)}static init_MercatorAxis(){this.prototype.default_view=_,this.override({ticker:()=>new n.MercatorTicker({dimension:\"lat\"}),formatter:()=>new c.MercatorTickFormatter({dimension:\"lat\"})})}}i.MercatorAxis=x,x.__name__=\"MercatorAxis\",x.init_MercatorAxis()},\n", - " function _(r,t,e,o,n){o();const i=r(176),c=r(20),a=r(65);class s extends i.BasicTickFormatter{constructor(r){super(r)}static init_MercatorTickFormatter(){this.define((({Nullable:r})=>({dimension:[r(c.LatLon),null]})))}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:[t(e.LatLon),null]})))}get_ticks_no_defaults(t,o,n,r){if(null==this.dimension)throw new Error(`${this}.dimension wasn't configured`);return[t,o]=c.clip_mercator(t,o,this.dimension),\"lon\"==this.dimension?this._get_ticks_lon(t,o,n,r):this._get_ticks_lat(t,o,n,r)}_get_ticks_lon(t,o,n,r){const[s]=c.wgs84_mercator.invert(t,n),[i,e]=c.wgs84_mercator.invert(o,n),_=super.get_ticks_no_defaults(s,i,n,r),a=[];for(const t of _.major)if(c.in_bounds(t,\"lon\")){const[o]=c.wgs84_mercator.compute(t,e);a.push(o)}const m=[];for(const t of _.minor)if(c.in_bounds(t,\"lon\")){const[o]=c.wgs84_mercator.compute(t,e);m.push(o)}return{major:a,minor:m}}_get_ticks_lat(t,o,n,r){const[,s]=c.wgs84_mercator.invert(n,t),[i,e]=c.wgs84_mercator.invert(n,o),_=super.get_ticks_no_defaults(s,e,n,r),a=[];for(const t of _.major)if(c.in_bounds(t,\"lat\")){const[,o]=c.wgs84_mercator.compute(i,t);a.push(o)}const m=[];for(const t of _.minor)if(c.in_bounds(t,\"lat\")){const[,o]=c.wgs84_mercator.compute(i,t);m.push(o)}return{major:a,minor:m}}}n.MercatorTicker=_,_.__name__=\"MercatorTicker\",_.init_MercatorTicker()},\n", - " function _(e,i,r,c,k){c(),k(\"AdaptiveTicker\",e(178).AdaptiveTicker),k(\"BasicTicker\",e(177).BasicTicker),k(\"CategoricalTicker\",e(171).CategoricalTicker),k(\"CompositeTicker\",e(186).CompositeTicker),k(\"ContinuousTicker\",e(179).ContinuousTicker),k(\"DatetimeTicker\",e(185).DatetimeTicker),k(\"DaysTicker\",e(187).DaysTicker),k(\"FixedTicker\",e(199).FixedTicker),k(\"LogTicker\",e(194).LogTicker),k(\"MercatorTicker\",e(197).MercatorTicker),k(\"MonthsTicker\",e(190).MonthsTicker),k(\"SingleIntervalTicker\",e(188).SingleIntervalTicker),k(\"Ticker\",e(165).Ticker),k(\"YearsTicker\",e(191).YearsTicker),k(\"BinnedTicker\",e(200).BinnedTicker)},\n", - " function _(i,t,e,r,n){r();const s=i(179);class _ extends s.ContinuousTicker{constructor(i){super(i)}static init_FixedTicker(){this.define((({Number:i,Array:t})=>({ticks:[t(i),[]],minor_ticks:[t(i),[]]})))}get_ticks_no_defaults(i,t,e,r){return{major:this.ticks,minor:this.minor_ticks}}get_interval(i,t,e){return 0}get_min_interval(){return 0}get_max_interval(){return 0}}e.FixedTicker=_,_.__name__=\"FixedTicker\",_.init_FixedTicker()},\n", - " function _(e,n,t,i,r){i();const c=e(165),o=e(201),s=e(12);class a extends c.Ticker{constructor(e){super(e)}static init_BinnedTicker(){this.define((({Number:e,Ref:n,Or:t,Auto:i})=>({mapper:[n(o.ScanningColorMapper)],num_major_ticks:[t(e,i),8]})))}get_ticks(e,n,t,i){const{binning:r}=this.mapper.metrics,c=Math.max(0,s.left_edge_index(e,r)),o=Math.min(s.left_edge_index(n,r)+1,r.length-1),a=[];for(let e=c;e<=o;e++)a.push(r[e]);const{num_major_ticks:_}=this,m=[],h=\"auto\"==_?a.length:_,l=Math.max(1,Math.floor(a.length/h));for(let e=0;eo.binning[o.binning.length-1])return r;return e[a.left_edge_index(n,o.binning)]}}i.ScanningColorMapper=c,c.__name__=\"ScanningColorMapper\"},\n", - " function _(t,o,e,n,s){n();const l=t(203),i=t(61),c=t(9),a=t(8);class r extends l.ColorMapper{constructor(t){super(t),this._scan_data=null}static init_ContinuousColorMapper(){this.define((({Number:t,String:o,Ref:e,Color:n,Or:s,Tuple:l,Array:c,Nullable:a})=>({high:[a(t),null],low:[a(t),null],high_color:[a(n),null],low_color:[a(n),null],domain:[c(l(e(i.GlyphRenderer),s(o,c(o)))),[]]})))}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:o}=this,e=[...this._collect(t)];this._scan_data=this.scan(e,o.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[o,e]of t)for(const t of a.isArray(e)?e:[e]){let e=o.data_source.get_column(t);e=o.view.indices.select(e);const n=o.view.masked,s=o.data_source.selected.indices;let l;if(null!=n&&s.length>0?l=c.intersection([...n],s):null!=n?l=[...n]:s.length>0&&(l=s),null!=l&&(e=c.map(l,(t=>e[t]))),e.length>0&&!a.isNumber(e[0]))for(const t of e)yield*t;else yield*e}}_v_compute(t,o,e,n){const{nan_color:s}=n;let{low_color:l,high_color:i}=n;null==l&&(l=e[0]),null==i&&(i=e[e.length-1]);const{domain:a}=this,r=c.is_empty(a)?t:[...this._collect(a)];this._scan_data=this.scan(r,e.length),this.metrics_change.emit();for(let n=0,c=t.length;n({palette:[r(t)],nan_color:[t,\"gray\"]})))}v_compute(t){const r=new Array(t.length);return this._v_compute(t,r,this.palette,this._colors((t=>t))),r}get rgba_mapper(){const t=this,r=p(this.palette),e=this._colors(s);return{v_compute(n){const o=new c.ColorArray(n.length);return t._v_compute(n,o,r,e),new Uint8ClampedArray(l.to_big_endian(o).buffer)}}}_colors(t){return{nan_color:t(this.nan_color)}}}e.ColorMapper=u,u.__name__=\"ColorMapper\",u.init_ColorMapper()},\n", - " function _(r,e,n,s,o){s();const p=r(149);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 _(t,r,a,e,c){e(),c(\"BasicTickFormatter\",t(176).BasicTickFormatter),c(\"CategoricalTickFormatter\",t(172).CategoricalTickFormatter),c(\"DatetimeTickFormatter\",t(180).DatetimeTickFormatter),c(\"FuncTickFormatter\",t(206).FuncTickFormatter),c(\"LogTickFormatter\",t(193).LogTickFormatter),c(\"MercatorTickFormatter\",t(196).MercatorTickFormatter),c(\"NumeralTickFormatter\",t(207).NumeralTickFormatter),c(\"PrintfTickFormatter\",t(208).PrintfTickFormatter),c(\"TickFormatter\",t(166).TickFormatter)},\n", - " function _(t,n,e,s,i){s();const r=t(166),c=t(13),a=t(34);class u extends r.TickFormatter{constructor(t){super(t)}static init_FuncTickFormatter(){this.define((({Unknown:t,String:n,Dict:e})=>({args:[e(t),{}],code:[n,\"\"]})))}get names(){return c.keys(this.args)}get values(){return c.values(this.args)}_make_func(){const t=a.use_strict(this.code);return new Function(\"tick\",\"index\",\"ticks\",...this.names,t)}doFormat(t,n){const e=this._make_func().bind({});return t.map(((t,n,s)=>`${e(t,n,s,...this.values)}`))}}e.FuncTickFormatter=u,u.__name__=\"FuncTickFormatter\",u.init_FuncTickFormatter()},\n", - " function _(r,t,n,e,a){e();const o=r(1).__importStar(r(183)),i=r(166),u=r(20);class c extends i.TickFormatter{constructor(r){super(r)}static init_NumeralTickFormatter(){this.define((({String:r})=>({format:[r,\"0,0\"],language:[r,\"en\"],rounding:[u.RoundingFunction,\"round\"]})))}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,t){const{format:n,language:e,_rounding_fn:a}=this;return r.map((r=>o.format(r,n,e,a)))}}n.NumeralTickFormatter=c,c.__name__=\"NumeralTickFormatter\",c.init_NumeralTickFormatter()},\n", - " function _(t,r,i,n,o){n();const a=t(166),e=t(182);class c extends a.TickFormatter{constructor(t){super(t)}static init_PrintfTickFormatter(){this.define((({String:t})=>({format:[t,\"%s\"]})))}doFormat(t,r){return t.map((t=>e.sprintf(this.format,t)))}}i.PrintfTickFormatter=c,c.__name__=\"PrintfTickFormatter\",c.init_PrintfTickFormatter()},\n", - " function _(r,o,a,p,e){p(),e(\"CategoricalColorMapper\",r(210).CategoricalColorMapper),e(\"CategoricalMarkerMapper\",r(212).CategoricalMarkerMapper),e(\"CategoricalPatternMapper\",r(213).CategoricalPatternMapper),e(\"ContinuousColorMapper\",r(202).ContinuousColorMapper),e(\"ColorMapper\",r(203).ColorMapper),e(\"LinearColorMapper\",r(214).LinearColorMapper),e(\"LogColorMapper\",r(215).LogColorMapper),e(\"ScanningColorMapper\",r(201).ScanningColorMapper),e(\"EqHistColorMapper\",r(216).EqHistColorMapper)},\n", - " function _(t,o,a,r,e){r();const c=t(211),l=t(203),i=t(104);class s extends l.ColorMapper{constructor(t){super(t)}static init_CategoricalColorMapper(){this.define((({Number:t,Nullable:o})=>({factors:[i.FactorSeq],start:[t,0],end:[o(t),null]})))}_v_compute(t,o,a,{nan_color:r}){c.cat_v_compute(t,this.factors,a,o,this.start,this.end,r)}}a.CategoricalColorMapper=s,s.__name__=\"CategoricalColorMapper\",s.init_CategoricalColorMapper()},\n", - " function _(n,t,e,l,i){l();const c=n(12),u=n(8);function f(n,t){if(n.length!=t.length)return!1;for(let e=0,l=n.length;ef(n,h)))),s=_<0||_>=e.length?r:e[_],l[g]=s}}},\n", - " function _(r,e,a,t,s){t();const c=r(211),i=r(104),l=r(204),n=r(20);class p extends l.Mapper{constructor(r){super(r)}static init_CategoricalMarkerMapper(){this.define((({Number:r,Array:e,Nullable:a})=>({factors:[i.FactorSeq],markers:[e(n.MarkerType)],start:[r,0],end:[a(r),null],default_value:[n.MarkerType,\"circle\"]})))}v_compute(r){const e=new Array(r.length);return c.cat_v_compute(r,this.factors,this.markers,e,this.start,this.end,this.default_value),e}}a.CategoricalMarkerMapper=p,p.__name__=\"CategoricalMarkerMapper\",p.init_CategoricalMarkerMapper()},\n", - " function _(t,a,e,r,n){r();const s=t(211),c=t(104),i=t(204),p=t(20);class l extends i.Mapper{constructor(t){super(t)}static init_CategoricalPatternMapper(){this.define((({Number:t,Array:a,Nullable:e})=>({factors:[c.FactorSeq],patterns:[a(p.HatchPatternType)],start:[t,0],end:[e(t),null],default_value:[p.HatchPatternType,\" \"]})))}v_compute(t){const a=new Array(t.length);return s.cat_v_compute(t,this.factors,this.patterns,a,this.start,this.end,this.default_value),a}}e.CategoricalPatternMapper=l,l.__name__=\"CategoricalPatternMapper\",l.init_CategoricalPatternMapper()},\n", - " function _(n,r,o,t,a){t();const e=n(202),i=n(12);class s extends e.ContinuousColorMapper{constructor(n){super(n)}scan(n,r){const o=null!=this.low?this.low:i.min(n),t=null!=this.high?this.high: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(202),s=o(12);class e extends a.ContinuousColorMapper{constructor(o){super(o)}scan(o,t){const n=null!=this.low?this.low:s.min(o),r=null!=this.high?this.high: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 _(n,t,i,e,o){e();const s=n(201),r=n(12),a=n(9),l=n(19);class c extends s.ScanningColorMapper{constructor(n){super(n)}static init_EqHistColorMapper(){this.define((({Int:n})=>({bins:[n,65536]})))}scan(n,t){const i=null!=this.low?this.low:r.min(n),e=null!=this.high?this.high:r.max(n),o=this.bins,s=a.linspace(i,e,o+1),c=r.bin_counts(n,s),h=new Array(o);for(let n=0,t=s.length;nn/g));let m=t-1,M=[],_=0,f=2*t;for(;m!=t&&_<4&&0!=m;){const n=f/m;if(n>1e3)break;f=Math.round(Math.max(t*n,t));const i=a.range(0,f),e=r.map(u,(n=>n*(f-1)));M=r.interpolate(i,e,h);m=a.uniq(M).length-1,_++}if(0==m){M=[i,e];for(let n=0;ne*n+t}compute(e){return this._linear_compute(e)}v_compute(e){return this._linear_v_compute(e)}invert(e){return this._linear_invert(e)}v_invert(e){return this._linear_v_invert(e)}}n.LinearScale=u,u.__name__=\"LinearScale\"},\n", - " function _(n,e,t,r,i){r();const a=n(146),o=n(12);class c extends a.Scale{constructor(n){super(n)}static init_LinearInterpolationScale(){this.internal((({Arrayable:n})=>({binning:[n]})))}get s_compute(){throw new Error(\"not implemented\")}compute(n){return n}v_compute(n){const{binning:e}=this,{start:t,end:r}=this.source_range,i=t,a=r,c=e.length,l=(r-t)/(c-1),s=new Float64Array(c);for(let n=0;n{if(na)return a;const t=o.left_edge_index(n,e),r=e[t],c=(n-r)/(e[t+1]-r),l=s[t];return l+c*(s[t+1]-l)}));return this._linear_v_compute(_)}invert(n){return n}v_invert(n){return new Float64Array(n)}}t.LinearInterpolationScale=c,c.__name__=\"LinearInterpolationScale\",c.init_LinearInterpolationScale()},\n", - " function _(a,n,e,g,R){g(),R(\"DataRange\",a(160).DataRange),R(\"DataRange1d\",a(159).DataRange1d),R(\"FactorRange\",a(104).FactorRange),R(\"Range\",a(105).Range),R(\"Range1d\",a(156).Range1d)},\n", - " function _(a,o,i,t,e){t();var n=a(141);e(\"Sizeable\",n.Sizeable),e(\"SizingPolicy\",n.SizingPolicy);var c=a(142);e(\"Layoutable\",c.Layoutable),e(\"LayoutItem\",c.LayoutItem);var r=a(222);e(\"HStack\",r.HStack),e(\"VStack\",r.VStack);var l=a(223);e(\"Grid\",l.Grid),e(\"Row\",l.Row),e(\"Column\",l.Column);var S=a(224);e(\"ContentBox\",S.ContentBox),e(\"VariadicBox\",S.VariadicBox)},\n", - " function _(t,e,h,i,r){i();const n=t(142),o=t(99);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(141),l=t(142),r=t(8),h=t(99),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 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 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=r.isPlainObject(this.rows)?null!==(t=this.rows[s])&&void 0!==t?t:this.rows[\"*\"]:this.rows;return null==i?{policy:\"auto\"}:r.isNumber(i)?{policy:\"fixed\",height:i}: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\");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=r.isPlainObject(this.cols)?null!==(i=this.cols[t])&&void 0!==i?i:this.cols[\"*\"]:this.cols;return null==s?{policy:\"auto\"}:r.isNumber(s)?{policy:\"fixed\",width:s}: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\");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]=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:c.sum(t)+(s-1)*o,width: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=s=>{let o;o=\"fixed\"==this.sizing.height_policy&&null!=this.sizing.height?this.sizing.height:t.height!=1/0&&this.is_height_expanding()?Math.max(t.height,s.size.height):s.size.height;let l=0;for(let t=0;t0)for(let t=0;ti?i:e,t--}}}},h=i=>{let e;e=\"fixed\"==this.sizing.width_policy&&null!=this.sizing.width?this.sizing.width:t.width!=1/0&&this.is_width_expanding()?t.width:i.size.width;let n=0;for(let t=0;t0)for(let t=0;ts?s:o,t--}}}},c=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}}));r(c),h(c);const p=this._measure_cells(((t,i)=>({width:c.col_widths[i],height:c.row_heights[t]})));r(p),h(p);const{row_heights:f,col_widths:_}=p;return{size:this._measure_totals(f,_),row_heights:f,col_widths:_}}_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}=this._measure_grid(t),{size_hints:c}=this._measure_cells(((t,i)=>({width:r[i],height:l[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(142),c=e(141),o=e(43);class r extends a.ContentLayoutable{constructor(e){super(),this.content_size=o.unsized(e,(()=>new c.Sizeable(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 o.sized(this.el,t,(()=>{const e=new c.Sizeable(o.content_size(this.el)),{border:t,padding:s}=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(141),r=t(142),n=t(99);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,n){s();const o=t(1),l=t(139),a=t(10),_=t(143),d=t(20),h=o.__importStar(t(48));class r extends l.TextAnnotationView{_get_size(){const{ctx:t}=this.layer;this.visuals.text.set_value(t);const{width:e}=t.measureText(this.model.text),{height:i}=_.font_metrics(t.font);return{width:e,height:i}}_render(){const{angle:t,angle_units:e}=this.model,i=a.resolve_angle(t,e),s=null!=this.layout?this.layout:this.plot_view.frame,n=this.coordinates.x_scale,o=this.coordinates.y_scale;let l=\"data\"==this.model.x_units?n.compute(this.model.x):s.bbox.xview.compute(this.model.x),_=\"data\"==this.model.y_units?o.compute(this.model.y):s.bbox.yview.compute(this.model.y);l+=this.model.x_offset,_-=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,l,_,i)}}i.LabelView=r,r.__name__=\"LabelView\";class c extends l.TextAnnotation{constructor(t){super(t)}static init_Label(){this.prototype.default_view=r,this.mixins([h.Text,[\"border_\",h.Line],[\"background_\",h.Fill]]),this.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]}))),this.override({background_fill_color:null,border_line_color:null})}}i.Label=c,c.__name__=\"Label\",c.init_Label()},\n", - " function _(t,e,s,i,o){i();const l=t(1),n=t(139),a=t(56),r=t(130),_=l.__importStar(t(48)),c=t(20),h=t(43),d=l.__importStar(t(18)),u=t(143);class x extends n.TextAnnotationView{set_data(t){a.DataAnnotationView.prototype.set_data.call(this,t)}initialize(){if(super.initialize(),this.set_data(this.model.source),\"css\"==this.model.render_mode)for(let t=0,e=this.text.length;t{this.set_data(this.model.source),\"css\"==this.model.render_mode?this.render():this.request_render()};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)}_calculate_text_dimensions(t,e){const{width:s}=t.measureText(e),{height:i}=u.font_metrics(this.visuals.text.font_value(0));return[s,i]}_map_data(){const t=this.coordinates.x_scale,e=this.coordinates.y_scale,s=null!=this.layout?this.layout:this.plot_view.frame;return[\"data\"==this.model.x_units?t.v_compute(this._x):s.bbox.xview.v_compute(this._x),\"data\"==this.model.y_units?e.v_compute(this._y):s.bbox.yview.v_compute(this._y)]}_render(){const t=\"canvas\"==this.model.render_mode?this._v_canvas_text.bind(this):this._v_css_text.bind(this),{ctx:e}=this.layer,[s,i]=this._map_data();for(let o=0,l=this.text.length;o({x:[d.XCoordinateSpec,{field:\"x\"}],y:[d.YCoordinateSpec,{field:\"y\"}],x_units:[c.SpatialUnits,\"data\"],y_units:[c.SpatialUnits,\"data\"],text:[d.StringSpec,{field:\"text\"}],angle:[d.AngleSpec,0],x_offset:[d.NumberSpec,{value:0}],y_offset:[d.NumberSpec,{value:0}],source:[t(r.ColumnDataSource),()=>new r.ColumnDataSource]}))),this.override({background_fill_color:null,border_line_color:null})}}s.LabelSet=v,v.__name__=\"LabelSet\",v.init_LabelSet()},\n", - " function _(t,e,i,s,l){s();const n=t(1),h=t(40),o=t(229),a=t(20),_=n.__importStar(t(48)),r=t(15),d=t(140),c=t(143),g=t(99),m=t(9),b=t(8),f=t(11);class u extends h.AnnotationView{update_layout(){const{panel:t}=this;this.layout=null!=t?new d.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:s,label_width:l}=this.model;this.max_label_height=m.max([c.font_metrics(this.visuals.label_text.font_value()).height,s,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,m.max([n.measureText(e).width,l]));this.visuals.title_text.set_value(n),this.title_height=this.model.title?c.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 h=Math.max(m.max([...this.text_widths.values()]),0),o=this.model.margin,{legend_padding:a}=this,_=this.model.spacing,{label_standoff:r}=this.model;let d,u;if(\"vertical\"==this.model.orientation)d=t.length*this.max_label_height+Math.max(t.length-1,0)*_+2*a+this.title_height,u=m.max([h+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+=m.max([t,l])+i+r;u=m.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(b.isString(v))switch(v){case\"top_left\":y=p.start+o,k=w.start+o;break;case\"top\":case\"top_center\":y=(p.end+p.start)/2-u/2,k=w.start+o;break;case\"top_right\":y=p.end-o-u,k=w.start+o;break;case\"bottom_right\":y=p.end-o-u,k=w.end-o-d;break;case\"bottom\":case\"bottom_center\":y=(p.end+p.start)/2-u/2,k=w.end-o-d;break;case\"bottom_left\":y=p.start+o,k=w.end-o-d;break;case\"left\":case\"center_left\":y=p.start+o,k=(w.end+w.start)/2-d/2;break;case\"center\":case\"center_center\":y=(p.end+p.start)/2-u/2,k=(w.end+w.start)/2-d/2;break;case\"right\":case\"center_right\":y=p.end-o-u,k=(w.end+w.start)/2-d/2}else if(b.isArray(v)&&2==v.length){const[t,e]=v;y=x.bbox.xview.compute(t),k=x.bbox.yview.compute(e)-d}else f.unreachable();return new g.BBox({left:y,top:k,width:u,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:s}=this.model,{legend_padding:l}=this,n=this.model.spacing,{label_standoff:h}=this.model;let o=i=l;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+o,m=a.y+i+this.title_height;let b,f;[b,f]=_?[a.width-2*l,this.max_label_height]:[this.text_widths.get(c)+s+h,this.max_label_height];if(new g.BBox({left:d,top:m,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:o+=this.text_widths.get(c)+s+h+n}}return!1}_render(){if(0==this.model.items.length)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.set_value(t),t.fill(),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(t),t.stroke())}_draw_legend_items(t,e){const{glyph_width:i,glyph_height:s}=this.model,{legend_padding:l}=this,n=this.model.spacing,{label_standoff:h}=this.model;let o=l,a=l;const _=\"vertical\"==this.model.orientation;for(const r of this.model.items){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 m.every(r.renderers,(t=>t.visible));case\"mute\":return m.every(r.renderers,(t=>!t.muted))}})();for(const m of d){const d=e.x+o,b=e.y+a+this.title_height,f=d+i,u=b+s;_?a+=this.max_label_height+n:o+=this.text_widths.get(m)+i+h+n,this.visuals.label_text.set_value(t),t.fillText(m,f+h,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 s,n;[s,n]=_?[e.width-2*l,this.max_label_height]:[this.text_widths.get(m)+i+h,this.max_label_height],t.beginPath(),t.rect(d,b,s,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=u,u.__name__=\"LegendView\";class x extends h.Annotation{constructor(t){super(t)}initialize(){super.initialize(),this.item_change=new r.Signal0(this,\"item_change\")}static init_Legend(){this.prototype.default_view=u,this.mixins([[\"label_\",_.Text],[\"title_\",_.Text],[\"inactive_\",_.Fill],[\"border_\",_.Line],[\"background_\",_.Fill]]),this.define((({Number:t,String:e,Array:i,Tuple:s,Or:l,Ref:n,Nullable:h})=>({orientation:[a.Orientation,\"vertical\"],location:[l(a.LegendLocation,s(t,t)),\"top_right\"],title:[h(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(o.LegendItem)),[]],click_policy:[a.LegendClickPolicy,\"none\"]}))),this.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\"})}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=x,x.__name__=\"Legend\",x.init_Legend()},\n", - " function _(e,r,n,l,t){l();const i=e(1),s=e(53),o=e(61),_=e(57),a=e(230),u=i.__importStar(e(18)),d=e(19),c=e(9);class f extends s.Model{constructor(e){super(e)}static init_LegendItem(){this.define((({Int:e,Array:r,Ref:n,Nullable:l})=>({label:[u.NullStringSpec,null],renderers:[r(n(o.GlyphRenderer)),[]],index:[l(e),null]})))}_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&&!c.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()||d.logger.error(\"Non matching data sources on legend item renderers\");this._check_field_label_on_data_source()||d.logger.error(`Bad column name on label: ${this.label}`)}get_field_from_label_prop(){const{label:e}=this;return a.isField(e)?e.field:null}get_labels_list_from_label_prop(){if(a.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 n=r.get_column(e);return null!=n?c.uniq(Array.from(n)):[\"Invalid field\"]}}return[]}}n.LegendItem=f,f.__name__=\"LegendItem\",f.init_LegendItem()},\n", - " function _(i,n,e,t,u){t();const c=i(8);e.isValue=function(i){return c.isPlainObject(i)&&\"value\"in i},e.isField=function(i){return c.isPlainObject(i)&&\"field\"in i},e.isExpr=function(i){return c.isPlainObject(i)&&\"expr\"in i}},\n", - " function _(t,i,s,n,e){n();const o=t(1),l=t(40),a=o.__importStar(t(48)),c=t(20);class h extends l.AnnotationView{connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.request_render()))}_render(){const{xs:t,ys:i}=this.model;if(t.length!=i.length)return;const s=t.length;if(s<3)return;const{frame:n}=this.plot_view,{ctx:e}=this.layer,o=this.coordinates.x_scale,l=this.coordinates.y_scale,{screen:a}=this.model;function c(t,i,s,n){return a?t:\"data\"==i?s.v_compute(t):n.v_compute(t)}const h=c(t,this.model.xs_units,o,n.bbox.xview),r=c(i,this.model.ys_units,l,n.bbox.yview);e.beginPath();for(let t=0;t({xs:[i(t),[]],xs_units:[c.SpatialUnits,\"data\"],ys:[i(t),[]],ys_units:[c.SpatialUnits,\"data\"]}))),this.internal((({Boolean:t})=>({screen:[t,!1]}))),this.override({fill_color:\"#fff9ba\",fill_alpha:.4,line_color:\"#cccccc\",line_alpha:.3})}update({xs:t,ys:i}){this.setv({xs:t,ys:i,screen:!0},{check_eq:!1})}}s.PolyAnnotation=r,r.__name__=\"PolyAnnotation\",r.init_PolyAnnotation()},\n", - " function _(e,t,i,n,o){n();const s=e(1),l=e(40),r=s.__importStar(e(48));class c extends l.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:i}=this.plot_view,n=this.coordinates.x_scale,o=this.coordinates.y_scale;let s,l,r,c;if(0==e)s=o.compute(t),l=s,r=i.bbox.left,c=r+i.bbox.width;else{s=i.bbox.top,l=s+i.bbox.height;const a=(o.invert(s)-t)/e,_=(o.invert(l)-t)/e;r=n.compute(a),c=n.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()}}i.SlopeView=c,c.__name__=\"SlopeView\";class a extends l.Annotation{constructor(e){super(e)}static init_Slope(){this.prototype.default_view=c,this.mixins(r.Line),this.define((({Number:e,Nullable:t})=>({gradient:[t(e),null],y_intercept:[t(e),null]}))),this.override({line_color:\"black\"})}}i.Slope=a,a.__name__=\"Slope\",a.init_Slope()},\n", - " function _(e,i,t,n,o){n();const s=e(1),a=e(40),l=s.__importStar(e(48)),h=e(20);class c 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:i}=this.plot_view,t=this.coordinates.x_scale,n=this.coordinates.y_scale,o=(i,t)=>\"data\"==this.model.location_units?i.compute(e):this.model.for_hover?e:t.compute(e);let s,a,l,h;\"width\"==this.model.dimension?(l=o(n,i.bbox.yview),a=i.bbox.left,h=i.bbox.width,s=this.model.line_width):(l=i.bbox.top,a=o(t,i.bbox.xview),h=this.model.line_width,s=i.bbox.height);const{ctx:c}=this.layer;c.save(),c.beginPath(),this.visuals.line.set_value(c),c.moveTo(a,l),\"width\"==this.model.dimension?c.lineTo(a+h,l):c.lineTo(a,l+s),c.stroke(),c.restore()}}t.SpanView=c,c.__name__=\"SpanView\";class d extends a.Annotation{constructor(e){super(e)}static init_Span(){this.prototype.default_view=c,this.mixins(l.Line),this.define((({Number:e,Nullable:i})=>({render_mode:[h.RenderMode,\"canvas\"],location:[i(e),null],location_units:[h.SpatialUnits,\"data\"],dimension:[h.Dimension,\"width\"]}))),this.internal((({Boolean:e})=>({for_hover:[e,!1]}))),this.override({line_color:\"black\"})}}t.Span=d,d.__name__=\"Span\",d.init_Span()},\n", - " function _(i,e,t,o,l){o();const s=i(40),a=i(235),n=i(122),r=i(43),_=i(140),h=i(99);class b extends s.AnnotationView{constructor(){super(...arguments),this._invalidate_toolbar=!0,this._previous_bbox=new h.BBox}update_layout(){this.layout=new _.SideLayout(this.panel,(()=>this.get_size()),!0)}initialize(){super.initialize(),this.el=r.div(),this.plot_view.canvas_view.add_event(this.el)}async lazy_initialize(){await super.lazy_initialize(),this._toolbar_view=await 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(),r.remove(this.el),super.remove()}render(){this.model.visible||r.undisplay(this.el),super.render()}_render(){const{bbox:i}=this.layout;this._previous_bbox.equals(i)||(r.position(this.el,i),this._previous_bbox=i),this._invalidate_toolbar&&(this.el.style.position=\"absolute\",this.el.style.overflow=\"hidden\",this._toolbar_view.render(),r.empty(this.el),this.el.appendChild(this._toolbar_view.el),this._invalidate_toolbar=!1),r.display(this.el)}_get_size(){const{tools:i,logo:e}=this.model.toolbar;return{width:30*i.length+(null!=e?25:0),height:30}}}t.ToolbarPanelView=b,b.__name__=\"ToolbarPanelView\";class d extends s.Annotation{constructor(i){super(i)}static init_ToolbarPanel(){this.prototype.default_view=b,this.define((({Ref:i})=>({toolbar:[i(a.Toolbar)]})))}}t.ToolbarPanel=d,d.__name__=\"ToolbarPanel\",d.init_ToolbarPanel()},\n", - " function _(t,s,e,i,o){i();const c=t(8),n=t(9),a=t(13),l=t(236),r=t(237),_=t(247),p=t(248);e.Drag=l.Tool,e.Inspection=l.Tool,e.Scroll=l.Tool,e.Tap=l.Tool;const u=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},h=t=>\"tap\"==t||\"pan\"==t;class v extends p.ToolbarBase{constructor(t){super(t)}static init_Toolbar(){this.prototype.default_view=p.ToolbarBaseView,this.define((({Or:t,Ref:s,Auto:i,Null:o,Nullable:c})=>({active_drag:[t(s(e.Drag),i,o),\"auto\"],active_inspect:[t(s(e.Inspection),i,o),\"auto\"],active_scroll:[t(s(e.Scroll),i,o),\"auto\"],active_tap:[t(s(e.Tap),i,o),\"auto\"],active_multi:[c(s(r.GestureTool)),null]})))}connect_signals(){super.connect_signals();const{tools:t,active_drag:s,active_inspect:e,active_scroll:i,active_tap:o,active_multi:c}=this.properties;this.on_change([t,s,e,i,o,c],(()=>this._init_tools()))}_init_tools(){if(super._init_tools(),\"auto\"==this.active_inspect);else if(this.active_inspect instanceof _.InspectTool){let t=!1;for(const s of this.inspectors)s!=this.active_inspect?s.active=!1:t=!0;t||(this.active_inspect=null)}else if(c.isArray(this.active_inspect)){const t=n.intersection(this.active_inspect,this.inspectors);t.length!=this.active_inspect.length&&(this.active_inspect=t);for(const t of this.inspectors)n.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 a.values(this.gestures)){t.tools=n.sort_by(t.tools,(t=>t.default_order));for(const s of t.tools)this.connect(s.properties.active.change,(()=>this._active_change(s)))}for(const[s,e]of a.entries(this.gestures)){const i=u(s);if(i){const o=this[i];\"auto\"==o?0!=e.tools.length&&h(s)&&t(e.tools[0]):null!=o&&(n.includes(this.tools,o)?t(o):this[i]=null)}}}}e.Toolbar=v,v.__name__=\"Toolbar\",v.init_Toolbar()},\n", - " function _(t,e,n,i,o){i();const s=t(42),a=t(9),r=t(53);class l extends s.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=l,l.__name__=\"ToolView\";class _ extends r.Model{constructor(t){super(t)}static init_Tool(){this.prototype._known_aliases=new Map,this.define((({String:t,Nullable:e})=>({description:[e(t),null]}))),this.internal((({Boolean:t})=>({active:[t,!1]})))}get synthetic_renderers(){return[]}_get_dim_limits([t,e],[n,i],o,s){const r=o.bbox.h_range;let l;\"width\"==s||\"both\"==s?(l=[a.min([t,n]),a.max([t,n])],l=[a.max([l[0],r.start]),a.min([l[1],r.end])]):l=[r.start,r.end];const _=o.bbox.v_range;let c;return\"height\"==s||\"both\"==s?(c=[a.min([e,i]),a.max([e,i])],c=[a.max([c[0],_.start]),a.min([c[1],_.end])]):c=[_.start,_.end],[l,c]}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=_,_.__name__=\"Tool\",_.init_Tool()},\n", - " function _(e,o,t,s,n){s();const u=e(238),_=e(246);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,i,s){i();const n=t(1),l=n.__importDefault(t(239)),r=t(240),a=t(236),u=t(43),h=t(34),_=t(8),c=t(9),d=n.__importStar(t(241)),m=d,p=n.__importDefault(t(242)),g=n.__importDefault(t(243)),v=t(244);class f extends r.DOMView{initialize(){super.initialize();const t=this.model.menu;if(null!=t){const e=this.parent.model.toolbar_location,o=\"left\"==e||\"above\"==e,i=this.parent.model.horizontal?\"vertical\":\"horizontal\";this._menu=new v.ContextMenu(o?c.reversed(t):t,{orientation:i,prevent_hide:t=>t.target==this.el})}this._hammer=new l.default(this.el,{touchAction:\"auto\",inputClass:l.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()))}remove(){var t;this._hammer.destroy(),null===(t=this._menu)||void 0===t||t.remove(),super.remove()}styles(){return[...super.styles(),d.default,p.default,g.default]}css_classes(){return super.css_classes().concat(m.toolbar_button)}render(){u.empty(this.el);const t=this.model.computed_icon;_.isString(t)&&(h.startsWith(t,\"data:image\")?this.el.style.backgroundImage=\"url('\"+t+\"')\":this.el.classList.add(t)),this.el.title=this.model.tooltip,null!=this._menu&&this.root.el.appendChild(this._menu.el)}_pressed(){var t;const{left:e,top:o,right:i,bottom:s}=this.el.getBoundingClientRect(),n=(()=>{switch(this.parent.model.toolbar_location){case\"right\":return{right:e,top:o};case\"left\":return{left:i,top:o};case\"above\":return{left:e,top:s};case\"below\":return{left:e,bottom:o}}})();null===(t=this._menu)||void 0===t||t.toggle(n)}}o.ButtonToolButtonView=f,f.__name__=\"ButtonToolButtonView\";class b extends a.ToolView{}o.ButtonToolView=b,b.__name__=\"ButtonToolView\";class B extends a.Tool{constructor(t){super(t)}static init_ButtonTool(){this.internal((({Boolean:t})=>({disabled:[t,!1]})))}_get_dim_tooltip(t){const{description:e,tool_name:o}=this;return null!=e?e:\"both\"==t?o:`${o} (${\"width\"==t?\"x\":\"y\"}-axis)`}get tooltip(){var t;return null!==(t=this.description)&&void 0!==t?t:this.tool_name}get computed_icon(){return this.icon}get menu(){return null}}o.ButtonTool=B,B.__name__=\"ButtonTool\",B.init_ButtonTool()},\n", - " function _(t,e,i,n,r){\n", - " /*! 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i,n,s,o,a=t.lastInterval||e,h=e.timeStamp-a.timeStamp;if(8!=e.eventType&&(h>25||a.velocity===r)){var c=e.deltaX-a.deltaX,l=e.deltaY-a.deltaY,p=U(h,c,l);n=p.x,s=p.y,i=u(p.x)>u(p.y)?p.x:p.y,o=V(c,l),t.lastInterval=e}else i=a.velocity,n=a.velocityX,s=a.velocityY,o=a.direction;e.velocity=i,e.velocityX=n,e.velocityY=s,e.direction=o}(i,e);var f,v;var d=t.element;_(e.srcEvent.target,d)&&(d=e.srcEvent.target);e.target=d}(t,i),t.emit(\"hammer.input\",i),t.recognize(i),t.session.prevInput=i}function H(t){for(var e=[],i=0;i=u(e)?t<0?2:4:e<0?8:16}function j(t,e,i){i||(i=F);var n=e[i[0]]-t[i[0]],r=e[i[1]]-t[i[1]];return Math.sqrt(n*n+r*r)}function G(t,e,i){i||(i=F);var n=e[i[0]]-t[i[0]],r=e[i[1]]-t[i[1]];return 180*Math.atan2(r,n)/Math.PI}q.prototype={handler:function(){},init:function(){this.evEl&&I(this.element,this.evEl,this.domHandler),this.evTarget&&I(this.target,this.evTarget,this.domHandler),this.evWin&&I(O(this.element),this.evWin,this.domHandler)},destroy:function(){this.evEl&&A(this.element,this.evEl,this.domHandler),this.evTarget&&A(this.target,this.evTarget,this.domHandler),this.evWin&&A(O(this.element),this.evWin,this.domHandler)}};var Z={mousedown:1,mousemove:2,mouseup:4},B=\"mousedown\",$=\"mousemove mouseup\";function J(){this.evEl=B,this.evWin=$,this.pressed=!1,q.apply(this,arguments)}g(J,q,{handler:function(t){var e=Z[t.type];1&e&&0===t.button&&(this.pressed=!0),2&e&&1!==t.which&&(e=4),this.pressed&&(4&e&&(this.pressed=!1),this.callback(this.manager,e,{pointers:[t],changedPointers:[t],pointerType:X,srcEvent:t}))}});var K={pointerdown:1,pointermove:2,pointerup:4,pointercancel:8,pointerout:8},Q={2:N,3:\"pen\",4:X,5:\"kinect\"},tt=\"pointerdown\",et=\"pointermove pointerup pointercancel\";function it(){this.evEl=tt,this.evWin=et,q.apply(this,arguments),this.store=this.manager.session.pointerEvents=[]}t.MSPointerEvent&&!t.PointerEvent&&(tt=\"MSPointerDown\",et=\"MSPointerMove MSPointerUp MSPointerCancel\"),g(it,q,{handler:function(t){var e=this.store,i=!1,n=t.type.toLowerCase().replace(\"ms\",\"\"),r=K[n],s=Q[t.pointerType]||t.pointerType,o=s==N,a=b(e,t.pointerId,\"pointerId\");1&r&&(0===t.button||o)?a<0&&(e.push(t),a=e.length-1):12&r&&(i=!0),a<0||(e[a]=t,this.callback(this.manager,r,{pointers:e,changedPointers:[t],pointerType:s,srcEvent:t}),i&&e.splice(a,1))}});var nt={touchstart:1,touchmove:2,touchend:4,touchcancel:8},rt=\"touchstart\",st=\"touchstart touchmove touchend touchcancel\";function ot(){this.evTarget=rt,this.evWin=st,this.started=!1,q.apply(this,arguments)}function at(t,e){var i=P(t.touches),n=P(t.changedTouches);return 12&e&&(i=D(i.concat(n),\"identifier\",!0)),[i,n]}g(ot,q,{handler:function(t){var 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.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,s){n();const o=t(1),l=t(43),h=t(245),d=o.__importStar(t(243));class r{constructor(t,e={}){this.items=t,this.options=e,this.el=l.div(),this._open=!1,this._item_click=t=>{var e;null===(e=this.items[t])||void 0===e||e.handler(),this.hide()},this._on_mousedown=t=>{var e,i;const{target:n}=t;n instanceof Node&&this.el.contains(n)||(null===(i=(e=this.options).prevent_hide)||void 0===i?void 0:i.call(e,t))||this.hide()},this._on_keydown=t=>{t.keyCode==l.Keys.Esc&&this.hide()},this._on_blur=()=>{this.hide()},l.undisplay(this.el)}get is_open(){return this._open}get can_open(){return 0!=this.items.length}remove(){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=e.getBoundingClientRect();this.el.style.left=null!=t.left?t.left-i.left+\"px\":\"\",this.el.style.top=null!=t.top?t.top-i.top+\"px\":\"\",this.el.style.right=null!=t.right?i.right-t.right+\"px\":\"\",this.el.style.bottom=null!=t.bottom?i.bottom-t.bottom+\"px\":\"\"}}render(){var t,e;l.empty(this.el,!0);const i=null!==(t=this.options.orientation)&&void 0!==t?t:\"vertical\";l.classes(this.el).add(\"bk-context-menu\",`bk-${i}`);for(const[t,i]of h.enumerate(this.items)){let n;if(null==t)n=l.div({class:d.divider});else{if(null!=t.if&&!t.if())continue;{const i=null!=t.icon?l.div({class:[\"bk-menu-icon\",t.icon]}):null;n=l.div({class:(null===(e=t.active)||void 0===e?void 0:e.call(t))?\"bk-active\":null,title:t.tooltip},i,t.label)}}n.addEventListener(\"click\",(()=>this._item_click(i))),this.el.appendChild(n)}}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}),l.display(this.el),this._listen(),this._open=!0}}hide(){this._open&&(this._open=!1,this._unlisten(),l.undisplay(this.el))}toggle(t){this._open?this.hide():this.show(t)}}i.ContextMenu=r,r.__name__=\"ContextMenu\"},\n", - " function _(n,e,o,t,r){t();const f=n(9);function*i(n,e){const o=n.length;if(e>o)return;const t=f.range(e);for(yield t.map((e=>n[e]));;){let r;for(const n of f.reversed(f.range(e)))if(t[n]!=n+o-e){r=n;break}if(null==r)return;t[r]+=1;for(const n of f.range(r+1,e))t[n]=t[n-1]+1;yield t.map((e=>n[e]))}}o.enumerate=function*(n){let e=0;for(const o of n)yield[o,e++]},o.combinations=i,o.subsets=function*(n){for(const e of f.range(n.length+1))yield*i(n,e)}},\n", - " function _(t,e,i,n,o){n();const s=t(1),c=t(238),l=s.__importStar(t(241)),a=t(43);class _ extends c.ButtonToolButtonView{render(){super.render(),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 _(t,e,o,n,s){n();const i=t(238),c=t(246);class l extends i.ButtonToolView{}o.InspectToolView=l,l.__name__=\"InspectToolView\";class _ extends i.ButtonTool{constructor(t){super(t),this.event_type=\"move\"}static init_InspectTool(){this.prototype.button_view=c.OnOffButtonView,this.define((({Boolean:t})=>({toggleable:[t,!0]}))),this.override({active:!0})}}o.InspectTool=_,_.__name__=\"InspectTool\",_.init_InspectTool()},\n", - " function _(t,o,e,i,s){i();const l=t(1),n=t(19),a=t(43),r=t(122),c=t(240),_=t(20),u=t(9),h=t(13),v=t(8),p=t(249),d=t(99),b=t(53),g=t(236),f=t(237),m=t(251),w=t(252),y=t(247),T=l.__importStar(t(241)),z=T,B=l.__importStar(t(253)),x=B;class L extends b.Model{constructor(t){super(t)}static init_ToolbarViewModel(){this.define((({Boolean:t,Nullable:o})=>({_visible:[o(t),null],autohide:[t,!1]})))}get visible(){return!this.autohide||null!=this._visible&&this._visible}}e.ToolbarViewModel=L,L.__name__=\"ToolbarViewModel\",L.init_ToolbarViewModel();class M extends c.DOMView{constructor(){super(...arguments),this.layout={bbox:new d.BBox}}initialize(){super.initialize(),this._tool_button_views=new Map,this._toolbar_view_model=new L({autohide:this.model.autohide})}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(),T.default,B.default]}remove(){r.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 r.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 t=this._toolbar_view_model.visible,o=z.toolbar_hidden;this.el.classList.contains(o)&&t?this.el.classList.remove(o):t||this.el.classList.add(o)}render(){if(a.empty(this.el),this.el.classList.add(z.toolbar),this.el.classList.add(z[this.model.toolbar_location]),this._toolbar_view_model.autohide=this.model.autohide,this._on_visible_change(),null!=this.model.logo){const t=\"grey\"===this.model.logo?x.grey:null,o=a.a({href:\"https://bokeh.org/\",target:\"_blank\",class:[x.logo,x.logo_small,t]});this.el.appendChild(o)}for(const[,t]of this._tool_button_views)t.render();const t=[],o=t=>this._tool_button_views.get(t).el,{gestures:e}=this.model;for(const i of h.values(e))t.push(i.tools.map(o));t.push(this.model.actions.map(o)),t.push(this.model.inspectors.filter((t=>t.toggleable)).map(o));for(const o of t)if(0!==o.length){const t=a.div({class:z.button_bar},o);this.el.appendChild(t)}}update_layout(){}update_position(){}after_layout(){this._has_finished=!0}export(t,o=!0){const e=\"png\"==t?\"canvas\":\"svg\",i=new p.CanvasLayer(e,o);return i.resize(0,0),i}}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=M,M.__name__=\"ToolbarBaseView\";class S extends b.Model{constructor(t){super(t)}static init_ToolbarBase(){this.prototype.default_view=M,this.define((({Boolean:t,Array:o,Ref:e,Nullable:i})=>({tools:[o(e(g.Tool)),[]],logo:[i(_.Logo),\"normal\"],autohide:[t,!1]}))),this.internal((({Array:t,Struct:o,Ref:e,Nullable:i})=>{const s=o({tools:t(e(f.GestureTool)),active:i(e(g.Tool))});return{gestures:[o({pan:s,scroll:s,pinch:s,tap:s,doubletap:s,press:s,pressup:s,rotate:s,move:s,multi:s}),V],actions:[t(e(m.ActionTool)),[]],inspectors:[t(e(y.InspectTool)),[]],help:[t(e(w.HelpTool)),[]],toolbar_location:[_.Location,\"right\"]}}))}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 u.some(t,(t=>!e.has(t.id)))},o=this.tools.filter((t=>t instanceof y.InspectTool));t(this.inspectors,o)&&(this.inspectors=o);const e=this.tools.filter((t=>t instanceof w.HelpTool));t(this.help,e)&&(this.help=e);const i=this.tools.filter((t=>t instanceof m.ActionTool));t(this.actions,i)&&(this.actions=i);const s=(t,o)=>{t in this.gestures||n.logger.warn(`Toolbar: unknown event type '${t}' for tool: ${o}`)},l={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 f.GestureTool&&t.event_type)if(v.isString(t.event_type))l[t.event_type].tools.push(t),s(t.event_type,t);else{l.multi.tools.push(t);for(const o of t.event_type)s(o,t)}for(const o of Object.keys(l)){const e=this.gestures[o];t(e.tools,l[o].tools)&&(e.tools=l[o].tools),e.active&&u.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=v.isString(o)?[o]:o;for(const o of e)if(t.active){const e=this.gestures[o].active;null!=e&&t!=e&&(n.logger.debug(`Toolbar: deactivating tool: ${e} for event type '${o}'`),e.active=!1),this.gestures[o].active=t,n.logger.debug(`Toolbar: activating tool: ${t} for event type '${o}'`)}else this.gestures[o].active=null}}e.ToolbarBase=S,S.__name__=\"ToolbarBase\",S.init_ToolbarBase()},\n", - " function _(e,t,i,n,s){n();const o=e(250),a=e(99),r=e(43);function h(e){!function(e){void 0===e.lineDash&&Object.defineProperty(e,\"lineDash\",{get:()=>e.getLineDash(),set:t=>e.setLineDash(t)})}(e),function(e){e.setImageSmoothingEnabled=t=>{e.imageSmoothingEnabled=t,e.mozImageSmoothingEnabled=t,e.oImageSmoothingEnabled=t,e.webkitImageSmoothingEnabled=t,e.msImageSmoothingEnabled=t},e.getImageSmoothingEnabled=()=>{const t=e.imageSmoothingEnabled;return null==t||t}}(e),function(e){e.ellipse||(e.ellipse=function(t,i,n,s,o,a,r,h=!1){const l=.551784;e.translate(t,i),e.rotate(o);let c=n,g=s;h&&(c=-n,g=-s),e.moveTo(-c,0),e.bezierCurveTo(-c,g*l,-c*l,g,0,g),e.bezierCurveTo(c*l,g,c,g*l,c,0),e.bezierCurveTo(c,-g*l,c*l,-g,0,-g),e.bezierCurveTo(-c*l,-g,-c,-g*l,-c,0),e.rotate(-o),e.translate(-t,-i)})}(e)}const l={position:\"absolute\",top:\"0\",left:\"0\",width:\"100%\",height:\"100%\"};class c{constructor(e,t){switch(this.backend=e,this.hidpi=t,this.pixel_ratio=1,this.bbox=new a.BBox,e){case\"webgl\":case\"canvas\":{this._el=this._canvas=r.canvas({style:l});const e=this.canvas.getContext(\"2d\");if(null==e)throw new Error(\"unable to obtain 2D rendering context\");this._ctx=e,t&&(this.pixel_ratio=devicePixelRatio);break}case\"svg\":{const e=new o.SVGRenderingContext2D;this._ctx=e,this._canvas=e.get_svg(),this._el=r.div({style:l},this._canvas);break}}h(this._ctx)}get canvas(){return this._canvas}get ctx(){return this._ctx}get el(){return this._el}resize(e,t){this.bbox=new a.BBox({left:0,top:0,width:e,height:t});const i=this._ctx instanceof o.SVGRenderingContext2D?this._ctx:this.canvas;i.width=e*this.pixel_ratio,i.height=t*this.pixel_ratio}prepare(){const{ctx:e,hidpi:t,pixel_ratio:i}=this;e.save(),t&&(e.scale(i,i),e.translate(.5,.5)),this.clear()}clear(){const{x:e,y:t,width:i,height:n}=this.bbox;this.ctx.clearRect(e,t,i,n)}finish(){this.ctx.restore()}to_blob(){const{_canvas:e}=this;if(e instanceof HTMLCanvasElement)return null!=e.msToBlob?Promise.resolve(e.msToBlob()):new Promise(((t,i)=>{e.toBlob((e=>null!=e?t(e):i()),\"image/png\")}));{const e=this._ctx.get_serialized_svg(!0),t=new Blob([e],{type:\"image/svg+xml\"});return Promise.resolve(t)}}}i.CanvasLayer=c,c.__name__=\"CanvasLayer\"},\n", - " function _(t,e,i,s,n){s();const r=t(168),a=t(8),o=t(43);function l(t){if(!t)throw new Error(\"cannot create a random attribute name for an undefined object\");const e=\"ABCDEFGHIJKLMNOPQRSTUVWXTZabcdefghiklmnopqrstuvwxyz\";let i=\"\";do{i=\"\";for(let t=0;t<12;t++)i+=e[Math.floor(Math.random()*e.length)]}while(t[i]);return i}function h(t){var e;const i={left:\"start\",right:\"end\",center:\"middle\",start:\"start\",end:\"end\"};return null!==(e=i[t])&&void 0!==e?e:i.start}function c(t){var e;const i={alphabetic:\"alphabetic\",hanging:\"hanging\",top:\"text-before-edge\",bottom:\"text-after-edge\",middle:\"central\"};return null!==(e=i[t])&&void 0!==e?e:i.alphabetic}const _=function(t,e){const i=new Map,s=t.split(\",\");e=null!=e?e:10;for(let t=0;t=0?Math.acos(e):-Math.acos(e)}const w=v(f),b=v(g);this.lineTo(d+f[0]*n,m+f[1]*n),this.arc(d,m,n,w,b)}stroke(){\"path\"===this.__currentElement.nodeName&&this.__currentElement.setAttribute(\"paint-order\",\"fill\"),this.__applyCurrentDefaultPath(),this.__applyStyleToCurrentElement(\"stroke\"),null!=this._clip_path&&this.__currentElement.setAttribute(\"clip-path\",this._clip_path)}fill(t){if(\"path\"===this.__currentElement.nodeName&&this.__currentElement.setAttribute(\"paint-order\",\"stroke\"),\"none\"!=this.__currentElement.getAttribute(\"fill\")){const t=this.__currentElement.cloneNode(!0);this.__root.appendChild(t),this.__currentElement=t}this.__applyCurrentDefaultPath(),this.__applyStyleToCurrentElement(\"fill\"),null!=t&&this.__currentElement.setAttribute(\"fill-rule\",t),null!=this._clip_path&&this.__currentElement.setAttribute(\"clip-path\",this._clip_path)}rect(t,e,i,s){isFinite(t+e+i+s)&&(\"path\"!==this.__currentElement.nodeName&&this.beginPath(),this.moveTo(t,e),this.lineTo(t+i,e),this.lineTo(t+i,e+s),this.lineTo(t,e+s),this.lineTo(t,e))}fillRect(t,e,i,s){isFinite(t+e+i+s)&&(this.beginPath(),this.rect(t,e,i,s),this.fill())}strokeRect(t,e,i,s){isFinite(t+e+i+s)&&(this.beginPath(),this.rect(t,e,i,s),this.stroke())}__clearCanvas(){o.empty(this.__defs),o.empty(this.__root),this.__root.appendChild(this.__defs),this.__currentElement=this.__root}clearRect(t,e,i,s){if(!isFinite(t+e+i+s))return;if(0===t&&0===e&&i===this.width&&s===this.height)return void this.__clearCanvas();const n=this.__createElement(\"rect\",{x:t,y:e,width:i,height:s,fill:\"#FFFFFF\"},!0);this._apply_transform(n),this.__root.appendChild(n)}createLinearGradient(t,e,i,s){if(!isFinite(t+e+i+s))throw new Error(\"The provided double value is non-finite\");const[n,r]=this._transform.apply(t,e),[a,o]=this._transform.apply(i,s),h=this.__createElement(\"linearGradient\",{id:l(this.__ids),x1:`${n}px`,x2:`${a}px`,y1:`${r}px`,y2:`${o}px`,gradientUnits:\"userSpaceOnUse\"},!1);return this.__defs.appendChild(h),new p(h,this)}createRadialGradient(t,e,i,s,n,r){if(!isFinite(t+e+i+s+n+r))throw new Error(\"The provided double value is non-finite\");const[a,o]=this._transform.apply(t,e),[h,c]=this._transform.apply(s,n),_=this.__createElement(\"radialGradient\",{id:l(this.__ids),cx:`${h}px`,cy:`${c}px`,r:`${r}px`,fx:`${a}px`,fy:`${o}px`,gradientUnits:\"userSpaceOnUse\"},!1);return this.__defs.appendChild(_),new p(_,this)}__parseFont(){var t,e,i,s,n;const 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n=this.__parseFont(),r=this.__createElement(\"text\",{\"font-family\":n.family,\"font-size\":n.size,\"font-style\":n.style,\"font-weight\":n.weight,\"text-decoration\":n.decoration,x:e,y:i,\"text-anchor\":h(this.textAlign),\"dominant-baseline\":c(this.textBaseline)},!0);r.appendChild(this.__document.createTextNode(t)),this._apply_transform(r),this.__currentElement=r,this.__applyStyleToCurrentElement(s),this.__root.appendChild(this.__wrapTextLink(n,r))}fillText(t,e,i){null!=t&&isFinite(e+i)&&this.__applyText(t,e,i,\"fill\")}strokeText(t,e,i){null!=t&&isFinite(e+i)&&this.__applyText(t,e,i,\"stroke\")}measureText(t){return this.__ctx.font=this.font,this.__ctx.measureText(t)}arc(t,e,i,s,n,r=!1){if(!isFinite(t+e+i+s+n))return;if(s===n)return;(s%=2*Math.PI)===(n%=2*Math.PI)&&(n=(n+2*Math.PI-.001*(r?-1:1))%(2*Math.PI));const a=t+i*Math.cos(n),o=e+i*Math.sin(n),l=t+i*Math.cos(s),h=e+i*Math.sin(s),c=r?0:1;let _=0,u=n-s;u<0&&(u+=2*Math.PI),_=r?u>Math.PI?0:1:u>Math.PI?1:0,this.lineTo(l,h);const p=i,d=i,[m,f]=this._transform.apply(a,o);this.__addPathCommand(m,f,`A ${p} ${d} 0 ${_} ${c} ${m} ${f}`)}clip(){const t=this.__createElement(\"clipPath\"),e=l(this.__ids);this.__applyCurrentDefaultPath(),t.setAttribute(\"id\",e),t.appendChild(this.__currentElement),this.__defs.appendChild(t),this._clip_path=`url(#${e})`}drawImage(t,...e){let i,s,n,r,a,o,l,h;if(2==e.length){if([i,s]=e,!isFinite(i+s))return;a=0,o=0,l=t.width,h=t.height,n=l,r=h}else if(4==e.length){if([i,s,n,r]=e,!isFinite(i+s+n+r))return;a=0,o=0,l=t.width,h=t.height}else{if(8!==e.length)throw new Error(`Inavlid number of arguments passed to drawImage: ${arguments.length}`);if([a,o,l,h,i,s,n,r]=e,!isFinite(a+o+l+h+i+s+n+r))return}const c=this.__root,_=this._transform.clone().translate(i,s);if(t instanceof m||t instanceof SVGSVGElement){const e=(t instanceof SVGSVGElement?t:t.get_svg()).cloneNode(!0);let i;_.is_identity?i=c:(i=this.__createElement(\"g\"),this._apply_transform(i,_),c.appendChild(i));for(const t of[...e.childNodes])if(t instanceof SVGDefsElement){for(const e of[...t.childNodes])if(e instanceof Element){const t=e.getAttribute(\"id\");this.__ids[t]=t,this.__defs.appendChild(e)}}else i.appendChild(t)}else if(t instanceof HTMLImageElement||t instanceof SVGImageElement){const e=this.__createElement(\"image\");if(e.setAttribute(\"width\",`${n}`),e.setAttribute(\"height\",`${r}`),e.setAttribute(\"preserveAspectRatio\",\"none\"),a||o||l!==t.width||h!==t.height){const e=this.__document.createElement(\"canvas\");e.width=n,e.height=r;e.getContext(\"2d\").drawImage(t,a,o,l,h,0,0,n,r),t=e}this._apply_transform(e,_);const i=t instanceof HTMLCanvasElement?t.toDataURL():t.getAttribute(\"src\");e.setAttributeNS(\"http://www.w3.org/1999/xlink\",\"xlink:href\",i),c.appendChild(e)}else if(t instanceof HTMLCanvasElement){const e=this.__createElement(\"image\");e.setAttribute(\"width\",`${n}`),e.setAttribute(\"height\",`${r}`),e.setAttribute(\"preserveAspectRatio\",\"none\");const i=this.__document.createElement(\"canvas\");i.width=n,i.height=r;const s=i.getContext(\"2d\");s.imageSmoothingEnabled=!1,s.drawImage(t,a,o,l,h,0,0,n,r),t=i,this._apply_transform(e,_),e.setAttributeNS(\"http://www.w3.org/1999/xlink\",\"xlink:href\",t.toDataURL()),c.appendChild(e)}}createPattern(t,e){const i=this.__document.createElementNS(\"http://www.w3.org/2000/svg\",\"pattern\"),s=l(this.__ids);if(i.setAttribute(\"id\",s),i.setAttribute(\"width\",`${this._to_number(t.width)}`),i.setAttribute(\"height\",`${this._to_number(t.height)}`),i.setAttribute(\"patternUnits\",\"userSpaceOnUse\"),t instanceof HTMLCanvasElement||t instanceof HTMLImageElement||t instanceof SVGImageElement){const e=this.__document.createElementNS(\"http://www.w3.org/2000/svg\",\"image\"),s=t instanceof HTMLCanvasElement?t.toDataURL():t.getAttribute(\"src\");e.setAttributeNS(\"http://www.w3.org/1999/xlink\",\"xlink:href\",s),i.appendChild(e),this.__defs.appendChild(i)}else if(t instanceof m){for(const e of[...t.__root.childNodes])e instanceof SVGDefsElement||i.appendChild(e);this.__defs.appendChild(i)}else{if(!(t instanceof SVGSVGElement))throw new Error(\"unsupported\");for(const e of[...t.childNodes])e instanceof SVGDefsElement||i.appendChild(e);this.__defs.appendChild(i)}return new d(i,this)}setLineDash(t){t&&t.length>0?this.lineDash=t.join(\",\"):this.lineDash=null}_to_number(t){return a.isNumber(t)?t:t.baseVal.value}}i.SVGRenderingContext2D=m,m.__name__=\"SVGRenderingContext2D\"},\n", - " function _(o,t,n,i,e){i();const s=o(238),c=o(15);class l extends s.ButtonToolButtonView{_clicked(){this.model.do.emit(void 0)}}n.ActionToolButtonView=l,l.__name__=\"ActionToolButtonView\";class _ extends s.ButtonToolView{connect_signals(){super.connect_signals(),this.connect(this.model.do,(o=>this.doit(o)))}}n.ActionToolView=_,_.__name__=\"ActionToolView\";class d extends s.ButtonTool{constructor(o){super(o),this.button_view=l,this.do=new c.Signal(this,\"do\")}}n.ActionTool=d,d.__name__=\"ActionTool\"},\n", - " function _(o,e,t,i,l){i();const s=o(251),n=o(242);class r extends s.ActionToolView{doit(){window.open(this.model.redirect)}}t.HelpToolView=r,r.__name__=\"HelpToolView\";class c extends s.ActionTool{constructor(o){super(o),this.tool_name=\"Help\",this.icon=n.tool_icon_help}static init_HelpTool(){this.prototype.default_view=r,this.define((({String:o})=>({redirect:[o,\"https://docs.bokeh.org/en/latest/docs/user_guide/tools.html\"]}))),this.override({description:\"Click the question mark to learn more about Bokeh plot tools.\"}),this.register_alias(\"help\",(()=>new c))}}t.HelpTool=c,c.__name__=\"HelpTool\",c.init_HelpTool()},\n", - " function _(o,l,g,A,r){A(),g.root=\"bk-root\",g.logo=\"bk-logo\",g.grey=\"bk-grey\",g.logo_small=\"bk-logo-small\",g.logo_notebook=\"bk-logo-notebook\",g.default=\".bk-root .bk-logo{margin:5px;position:relative;display:block;background-repeat:no-repeat;}.bk-root .bk-logo.bk-grey{filter:url(\\\"data:image/svg+xml;utf8,#grayscale\\\");filter:gray;-webkit-filter:grayscale(100%);}.bk-root .bk-logo-small{width:20px;height:20px;background-image:url(data:image/png;base64,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);}.bk-root .bk-logo-notebook{display:inline-block;vertical-align:middle;margin-right:5px;}\"},\n", - " function _(t,e,i,s,l){s();const o=t(1),n=t(40),h=t(20),a=t(43),r=o.__importStar(t(255)),c=r;class d extends n.AnnotationView{initialize(){super.initialize(),this.el=a.div({class:c.tooltip}),a.undisplay(this.el),this.plot_view.canvas_view.add_overlay(this.el)}remove(){a.remove(this.el),super.remove()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.content.change,(()=>this.render())),this.connect(this.model.properties.position.change,(()=>this._reposition()))}styles(){return[...super.styles(),r.default]}render(){this.model.visible||a.undisplay(this.el),super.render()}_render(){const{content:t}=this.model;null!=t?(a.empty(this.el),a.classes(this.el).toggle(\"bk-tooltip-custom\",this.model.custom),this.el.appendChild(t),this.model.show_arrow&&this.el.classList.add(c.tooltip_arrow)):a.undisplay(this.el)}_reposition(){const{position:t}=this.model;if(null==t)return void a.undisplay(this.el);const[e,i]=t,s=(()=>{const t=this.parent.layout.bbox.relative(),{attachment:s}=this.model;switch(s){case\"horizontal\":return e({attachment:[h.TooltipAttachment,\"horizontal\"],inner_only:[t,!0],show_arrow:[t,!0]}))),this.internal((({Boolean:t,Number:e,Tuple:i,Ref:s,Nullable:l})=>({position:[l(i(e,e)),null],content:[s(HTMLElement),()=>a.div()],custom:[t]}))),this.override({level:\"overlay\"})}clear(){this.position=null}}i.Tooltip=p,p.__name__=\"Tooltip\",p.init_Tooltip()},\n", - " function _(o,t,r,e,l){e(),r.root=\"bk-root\",r.tooltip=\"bk-tooltip\",r.left=\"bk-left\",r.tooltip_arrow=\"bk-tooltip-arrow\",r.right=\"bk-right\",r.above=\"bk-above\",r.below=\"bk-below\",r.tooltip_row_label=\"bk-tooltip-row-label\",r.tooltip_row_value=\"bk-tooltip-row-value\",r.tooltip_color_block=\"bk-tooltip-color-block\",r.default='.bk-root{}.bk-root .bk-tooltip{font-weight:300;font-size:12px;position:absolute;padding:5px;border:1px solid #e5e5e5;color:#2f2f2f;background-color:white;pointer-events:none;opacity:0.95;z-index:100;}.bk-root .bk-tooltip > div:not(:first-child){margin-top:5px;border-top:#e5e5e5 1px dashed;}.bk-root .bk-tooltip.bk-left.bk-tooltip-arrow::before{position:absolute;margin:-7px 0 0 0;top:50%;width:0;height:0;border-style:solid;border-width:7px 0 7px 0;border-color:transparent;content:\" \";display:block;left:-10px;border-right-width:10px;border-right-color:#909599;}.bk-root .bk-tooltip.bk-left::before{left:-10px;border-right-width:10px;border-right-color:#909599;}.bk-root .bk-tooltip.bk-right.bk-tooltip-arrow::after{position:absolute;margin:-7px 0 0 0;top:50%;width:0;height:0;border-style:solid;border-width:7px 0 7px 0;border-color:transparent;content:\" \";display:block;right:-10px;border-left-width:10px;border-left-color:#909599;}.bk-root .bk-tooltip.bk-right::after{right:-10px;border-left-width:10px;border-left-color:#909599;}.bk-root .bk-tooltip.bk-above::before{position:absolute;margin:0 0 0 -7px;left:50%;width:0;height:0;border-style:solid;border-width:0 7px 0 7px;border-color:transparent;content:\" \";display:block;top:-10px;border-bottom-width:10px;border-bottom-color:#909599;}.bk-root .bk-tooltip.bk-below::after{position:absolute;margin:0 0 0 -7px;left:50%;width:0;height:0;border-style:solid;border-width:0 7px 0 7px;border-color:transparent;content:\" \";display:block;bottom:-10px;border-top-width:10px;border-top-color:#909599;}.bk-root .bk-tooltip-row-label{text-align:right;color:#26aae1;}.bk-root .bk-tooltip-row-value{color:default;}.bk-root .bk-tooltip-color-block{width:12px;height:12px;margin-left:5px;margin-right:5px;outline:#dddddd solid 1px;display:inline-block;}'},\n", - " function _(e,t,i,s,r){s();const a=e(135),h=e(133),_=e(122),l=e(48);class o extends a.UpperLowerView{async lazy_initialize(){await super.lazy_initialize();const{lower_head:e,upper_head:t}=this.model;null!=e&&(this.lower_head=await _.build_view(e,{parent:this})),null!=t&&(this.upper_head=await _.build_view(t,{parent:this}))}set_data(e){var t,i;super.set_data(e),null===(t=this.lower_head)||void 0===t||t.set_data(e),null===(i=this.upper_head)||void 0===i||i.set_data(e)}paint(e){if(this.visuals.line.doit)for(let t=0,i=this._lower_sx.length;t({lower_head:[t(e(h.ArrowHead)),()=>new h.TeeHead({size:10})],upper_head:[t(e(h.ArrowHead)),()=>new h.TeeHead({size:10})]}))),this.override({level:\"underlay\"})}}i.Whisker=n,n.__name__=\"Whisker\",n.init_Whisker()},\n", - " function _(n,o,t,u,e){u(),e(\"CustomJS\",n(258).CustomJS),e(\"OpenURL\",n(260).OpenURL)},\n", - " function _(t,s,e,n,c){n();const u=t(259),i=t(13),a=t(34);class r extends u.Callback{constructor(t){super(t)}static init_CustomJS(){this.define((({Unknown:t,String:s,Dict:e})=>({args:[e(t),{}],code:[s,\"\"]})))}get names(){return i.keys(this.args)}get values(){return i.values(this.args)}get func(){const t=a.use_strict(this.code);return new Function(...this.names,\"cb_obj\",\"cb_data\",t)}execute(t,s={}){return this.func.apply(t,this.values.concat(t,s))}}e.CustomJS=r,r.__name__=\"CustomJS\",r.init_CustomJS()},\n", - " function _(c,a,l,n,s){n();const e=c(53);class o extends e.Model{constructor(c){super(c)}}l.Callback=o,o.__name__=\"Callback\"},\n", - " function _(e,t,n,i,o){i();const s=e(259),c=e(182),r=e(8);class a extends s.Callback{constructor(e){super(e)}static init_OpenURL(){this.define((({Boolean:e,String:t})=>({url:[t,\"http://\"],same_tab:[e,!1]})))}navigate(e){this.same_tab?window.location.href=e:window.open(e)}execute(e,{source:t}){const n=e=>{const n=c.replace_placeholders(this.url,t,e,void 0,void 0,encodeURI);if(!r.isString(n))throw new Error(\"HTML output is not supported in this context\");this.navigate(n)},{selected:i}=t;for(const e of i.indices)n(e);for(const e of i.line_indices)n(e)}}n.OpenURL=a,a.__name__=\"OpenURL\",a.init_OpenURL()},\n", - " function _(a,n,e,r,s){r(),s(\"Canvas\",a(262).Canvas),s(\"CartesianFrame\",a(144).CartesianFrame)},\n", - " function _(e,t,s,i,a){i();const l=e(14),n=e(240),r=e(19),o=e(43),h=e(20),_=e(13),c=e(263),d=e(99),p=e(249),v=(()=>{const e=document.createElement(\"canvas\"),t=e.getContext(\"webgl\",{premultipliedAlpha:!0});return null!=t?{canvas:e,gl:t}:void r.logger.trace(\"WebGL is not supported\")})(),u={position:\"absolute\",top:\"0\",left:\"0\",width:\"100%\",height:\"100%\"};class b extends n.DOMView{constructor(){super(...arguments),this.bbox=new d.BBox}initialize(){super.initialize(),\"webgl\"==this.model.output_backend&&(this.webgl=v),this.underlays_el=o.div({style:u}),this.primary=this.create_layer(),this.overlays=this.create_layer(),this.overlays_el=o.div({style:u}),this.events_el=o.div({class:\"bk-canvas-events\",style:u});const e=[this.underlays_el,this.primary.el,this.overlays.el,this.overlays_el,this.events_el];_.extend(this.el.style,u),o.append(this.el,...e),this.ui_event_bus=new c.UIEventBus(this)}remove(){this.ui_event_bus.destroy(),super.remove()}add_underlay(e){this.underlays_el.appendChild(e)}add_overlay(e){this.overlays_el.appendChild(e)}add_event(e){this.events_el.appendChild(e)}get pixel_ratio(){return this.primary.pixel_ratio}resize(e,t){this.bbox=new d.BBox({left:0,top:0,width:e,height:t}),this.primary.resize(e,t),this.overlays.resize(e,t)}prepare_webgl(e){const{webgl:t}=this;if(null!=t){const{width:s,height:i}=this.bbox;t.canvas.width=this.pixel_ratio*s,t.canvas.height=this.pixel_ratio*i;const{gl:a}=t;a.enable(a.SCISSOR_TEST);const[l,n,r,o]=e,{xview:h,yview:_}=this.bbox,c=h.compute(l),d=_.compute(n+o),p=this.pixel_ratio;a.scissor(p*c,p*d,p*r,p*o),a.enable(a.BLEND),a.blendFuncSeparate(a.SRC_ALPHA,a.ONE_MINUS_SRC_ALPHA,a.ONE_MINUS_DST_ALPHA,a.ONE),this._clear_webgl()}}blit_webgl(e){const{webgl:t}=this;if(null!=t){if(r.logger.debug(\"Blitting WebGL canvas\"),e.restore(),e.drawImage(t.canvas,0,0),e.save(),this.model.hidpi){const 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{gl:t,canvas:s}=e;t.viewport(0,0,s.width,s.height),t.clearColor(0,0,0,0),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}}compose(){const e=this.create_layer(),{width:t,height:s}=this.bbox;return e.resize(t,s),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 p.CanvasLayer(e,t)}to_blob(){return this.compose().to_blob()}}s.CanvasView=b,b.__name__=\"CanvasView\";class g extends l.HasProps{constructor(e){super(e)}static init_Canvas(){this.prototype.default_view=b,this.internal((({Boolean:e})=>({hidpi:[e,!0],output_backend:[h.OutputBackend,\"canvas\"]})))}}s.Canvas=g,g.__name__=\"Canvas\",g.init_Canvas()},\n", - " function _(t,e,s,n,i){n();const r=t(1),a=r.__importDefault(t(239)),_=t(15),h=t(19),o=t(43),l=r.__importStar(t(264)),c=t(265),p=t(9),u=t(8),v=t(27),d=t(244);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&&(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 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;const a=t.model.toolbar.gestures,_=e.name.split(\":\")[0],h=this._hit_test_renderers(t,s.sx,s.sy),o=this._hit_test_canvas(t,s.sx,s.sy);switch(_){case\"move\":{const n=a[_].active;null!=n&&this.trigger(e,s,n.id);const r=t.model.toolbar.inspectors.filter((t=>t.active));let l=\"default\";null!=h?(l=null!==(i=h.cursor(s.sx,s.sy))&&void 0!==i?i:l,p.is_empty(r)||(e=this.move_exit)):this._hit_test_frame(t,s.sx,s.sy)&&(p.is_empty(r)||(l=\"crosshair\")),this.set_cursor(l),t.set_toolbar_visibility(o),r.map((t=>this.trigger(e,s,t.id)));break}case\"tap\":{const{target:t}=n;if(null!=t&&t!=this.hit_area)return;null!=h&&null!=h.on_hit&&h.on_hit(s.sx,s.sy);const i=a[_].active;null!=i&&this.trigger(e,s,i.id);break}case\"doubletap\":{const t=null!==(r=a.doubletap.active)&&void 0!==r?r:a.tap.active;null!=t&&this.trigger(e,s,t.id);break}case\"scroll\":{const t=a[v.is_mobile?\"pinch\":\"scroll\"].active;null!=t&&(n.preventDefault(),n.stopPropagation(),this.trigger(e,s,t.id));break}case\"pan\":{const t=a[_].active;null!=t&&(n.preventDefault(),this.trigger(e,s,t.id));break}default:{const t=a[_].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}=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: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 c=e.length-1;c>=0;c--)(_=e[c])&&(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 c{to_json(){const{event_name:e}=this;return{event_name:e,event_values:this._to_json()}}}s.BokehEvent=c,c.__name__=\"BokehEvent\";class r extends c{constructor(){super(...arguments),this.origin=null}_to_json(){return{model:this.origin}}}s.ModelEvent=r,r.__name__=\"ModelEvent\";let l=class extends c{_to_json(){return{}}};s.DocumentReady=l,l.__name__=\"DocumentReady\",s.DocumentReady=l=a([o(\"document_ready\")],l);let i=class extends r{};s.ButtonClick=i,i.__name__=\"ButtonClick\",s.ButtonClick=i=a([o(\"button_click\")],i);let u=class extends 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j{constructor(e,t,s,n,_){super(e,t,s,n),this.sx=e,this.sy=t,this.x=s,this.y=n,this.delta=_}_to_json(){const{delta:e}=this;return Object.assign(Object.assign({},super._to_json()),{delta:e})}};s.MouseWheel=g,g.__name__=\"MouseWheel\",s.MouseWheel=g=a([o(\"wheel\")],g);let E=class extends j{};s.MouseMove=E,E.__name__=\"MouseMove\",s.MouseMove=E=a([o(\"mousemove\")],E);let O=class extends j{};s.MouseEnter=O,O.__name__=\"MouseEnter\",s.MouseEnter=O=a([o(\"mouseenter\")],O);let b=class extends j{};s.MouseLeave=b,b.__name__=\"MouseLeave\",s.MouseLeave=b=a([o(\"mouseleave\")],b);let M=class extends j{};s.Tap=M,M.__name__=\"Tap\",s.Tap=M=a([o(\"tap\")],M);let R=class extends j{};s.DoubleTap=R,R.__name__=\"DoubleTap\",s.DoubleTap=R=a([o(\"doubletap\")],R);let f=class extends j{};s.Press=f,f.__name__=\"Press\",s.Press=f=a([o(\"press\")],f);let S=class extends j{};s.PressUp=S,S.__name__=\"PressUp\",s.PressUp=S=a([o(\"pressup\")],S);let D=class extends j{};s.PanStart=D,D.__name__=\"PanStart\",s.PanStart=D=a([o(\"panstart\")],D);let k=class extends j{};s.PanEnd=k,k.__name__=\"PanEnd\",s.PanEnd=k=a([o(\"panend\")],k);let L=class extends j{};s.PinchStart=L,L.__name__=\"PinchStart\",s.PinchStart=L=a([o(\"pinchstart\")],L);let C=class extends j{};s.PinchEnd=C,C.__name__=\"PinchEnd\",s.PinchEnd=C=a([o(\"pinchend\")],C);let T=class extends j{};s.RotateStart=T,T.__name__=\"RotateStart\",s.RotateStart=T=a([o(\"rotatestart\")],T);let B=class extends j{};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", - " *\n", - " * Copyright jQuery Foundation and other contributors\n", - " * Released under the MIT license\n", - " * http://jquery.org/license\n", - " */\n", - " function u(t){const e=getComputedStyle(t).fontSize;return null!=e?parseInt(e,10):null}l(),n.getDeltaY=function(t){let e=-t.deltaY;if(t.target instanceof 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o.Indices.from_booleans(t,s);throw new Error(`expect an array of integers or booleans, or null, got ${s}`)}}s.CustomJSFilter=l,l.__name__=\"CustomJSFilter\",l.init_CustomJSFilter()},\n", - " function _(n,t,e,i,o){i();const r=n(121),u=n(24),s=n(19);class c extends r.Filter{constructor(n){super(n)}static init_GroupFilter(){this.define((({String:n})=>({column_name:[n],group:[n]})))}compute_indices(n){const t=n.get_column(this.column_name);if(null==t)return s.logger.warn(`${this}: groupby column '${this.column_name}' not found in the data source`),new u.Indices(n.length,1);{const e=new u.Indices(n.length);for(let n=0;n({indices:[i(n(e)),null]})))}compute_indices(e){const n=e.length,{indices:i}=this;return null==i?c.Indices.all_set(n):c.Indices.from_indices(n,i)}}i.IndexFilter=r,r.__name__=\"IndexFilter\",r.init_IndexFilter()},\n", - " function _(e,a,l,i,t){i(),t(\"AnnularWedge\",e(278).AnnularWedge),t(\"Annulus\",e(279).Annulus),t(\"Arc\",e(280).Arc),t(\"Bezier\",e(281).Bezier),t(\"Circle\",e(282).Circle),t(\"Ellipse\",e(286).Ellipse),t(\"EllipseOval\",e(287).EllipseOval),t(\"Glyph\",e(98).Glyph),t(\"HArea\",e(117).HArea),t(\"HBar\",e(289).HBar),t(\"HexTile\",e(291).HexTile),t(\"Image\",e(292).Image),t(\"ImageRGBA\",e(294).ImageRGBA),t(\"ImageURL\",e(295).ImageURL),t(\"Line\",e(63).Line),t(\"MultiLine\",e(127).MultiLine),t(\"MultiPolygons\",e(297).MultiPolygons),t(\"Oval\",e(298).Oval),t(\"Patch\",e(116).Patch),t(\"Patches\",e(128).Patches),t(\"Quad\",e(299).Quad),t(\"Quadratic\",e(300).Quadratic),t(\"Ray\",e(301).Ray),t(\"Rect\",e(302).Rect),t(\"Scatter\",e(303).Scatter),t(\"Segment\",e(306).Segment),t(\"Spline\",e(307).Spline),t(\"Step\",e(309).Step),t(\"Text\",e(310).Text),t(\"VArea\",e(119).VArea),t(\"VBar\",e(311).VBar),t(\"Wedge\",e(312).Wedge)},\n", - " function _(e,t,s,i,r){i();const n=e(1),a=e(64),o=e(106),_=e(48),d=e(24),u=e(20),h=n.__importStar(e(18)),l=e(10),c=e(59);class g extends a.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=d.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=d.to_screen(this.outer_radius)}_render(e,t,s){const{sx:i,sy:r,start_angle:n,end_angle:a,sinner_radius:o,souter_radius:_}=null!=s?s:this,d=\"anticlock\"==this.model.direction;for(const s of t){const t=i[s],u=r[s],h=o[s],l=_[s],c=n.get(s),g=a.get(s);if(isNaN(t+u+h+l+c+g))continue;const x=g-c;e.translate(t,u),e.rotate(c),e.beginPath(),e.moveTo(l,0),e.arc(0,0,l,0,x,d),e.rotate(x),e.lineTo(h,0),e.arc(0,0,h,0,-x,!d),e.closePath(),e.rotate(-x-c),e.translate(-t,-u),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(e,s),e.fill()),this.visuals.hatch.doit&&(this.visuals.hatch.set_vectorize(e,s),e.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,s),e.stroke())}}_hit_point(e){const{sx:t,sy:s}=e,i=this.renderer.xscale.invert(t),r=this.renderer.yscale.invert(s);let n,a,o,_;if(\"data\"==this.model.properties.outer_radius.units)n=i-this.max_outer_radius,o=i+this.max_outer_radius,a=r-this.max_outer_radius,_=r+this.max_outer_radius;else{const e=t-this.max_outer_radius,i=t+this.max_outer_radius;[n,o]=this.renderer.xscale.r_invert(e,i);const r=s-this.max_outer_radius,d=s+this.max_outer_radius;[a,_]=this.renderer.yscale.r_invert(r,d)}const d=[];for(const e of this.index.indices({x0:n,x1:o,y0:a,y1:_})){const t=this.souter_radius[e]**2,s=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]),u=(n-a)**2+(o-_)**2;u<=t&&u>=s&&d.push(e)}const u=\"anticlock\"==this.model.direction,h=[];for(const e of d){const i=Math.atan2(s-this.sy[e],t-this.sx[e]);l.angle_between(-i,-this.start_angle.get(e),-this.end_angle.get(e),u)&&h.push(e)}return new c.Selection({indices:h})}draw_legend_for_index(e,t,s){o.generic_area_vector_legend(this.visuals,e,t,s)}scenterxy(e){const t=(this.sinner_radius[e]+this.souter_radius[e])/2,s=(this.start_angle.get(e)+this.end_angle.get(e))/2;return[this.sx[e]+t*Math.cos(s),this.sy[e]+t*Math.sin(s)]}}s.AnnularWedgeView=g,g.__name__=\"AnnularWedgeView\";class x extends a.XYGlyph{constructor(e){super(e)}static init_AnnularWedge(){this.prototype.default_view=g,this.mixins([_.LineVector,_.FillVector,_.HatchVector]),this.define((({})=>({direction:[u.Direction,\"anticlock\"],inner_radius:[h.DistanceSpec,{field:\"inner_radius\"}],outer_radius:[h.DistanceSpec,{field:\"outer_radius\"}],start_angle:[h.AngleSpec,{field:\"start_angle\"}],end_angle:[h.AngleSpec,{field:\"end_angle\"}]})))}}s.AnnularWedge=x,x.__name__=\"AnnularWedge\",x.init_AnnularWedge()},\n", - " function _(s,i,t,e,r){e();const n=s(1),a=s(64),u=s(24),_=s(48),o=n.__importStar(s(18)),h=s(27),d=s(59);class c extends a.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=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=u.to_screen(this.outer_radius)}_render(s,i,t){const{sx:e,sy:r,sinner_radius:n,souter_radius:a}=null!=t?t:this;for(const t of i){const i=e[t],_=r[t],o=n[t],d=a[t];function u(){if(s.beginPath(),h.is_ie)for(const t of[!1,!0])s.arc(i,_,o,0,Math.PI,t),s.arc(i,_,d,Math.PI,0,!t);else s.arc(i,_,o,0,2*Math.PI,!0),s.arc(i,_,d,2*Math.PI,0,!1)}isNaN(i+_+o+d)||(this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(s,t),u(),s.fill()),this.visuals.hatch.doit&&(this.visuals.hatch.set_vectorize(s,t),u(),s.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(s,t),s.beginPath(),s.arc(i,_,o,0,2*Math.PI),s.moveTo(i+d,_),s.arc(i,_,d,0,2*Math.PI),s.stroke()))}}_hit_point(s){const{sx:i,sy:t}=s,e=this.renderer.xscale.invert(i),r=this.renderer.yscale.invert(t);let n,a,u,_;if(\"data\"==this.model.properties.outer_radius.units)n=e-this.max_outer_radius,u=e+this.max_outer_radius,a=r-this.max_outer_radius,_=r+this.max_outer_radius;else{const s=i-this.max_outer_radius,e=i+this.max_outer_radius;[n,u]=this.renderer.xscale.r_invert(s,e);const r=t-this.max_outer_radius,o=t+this.max_outer_radius;[a,_]=this.renderer.yscale.r_invert(r,o)}const o=[];for(const s of this.index.indices({x0:n,x1:u,y0:a,y1:_})){const i=this.souter_radius[s]**2,t=this.sinner_radius[s]**2,[n,a]=this.renderer.xscale.r_compute(e,this._x[s]),[u,_]=this.renderer.yscale.r_compute(r,this._y[s]),h=(n-a)**2+(u-_)**2;h<=i&&h>=t&&o.push(s)}return new d.Selection({indices:o})}draw_legend_for_index(s,{x0:i,y0:t,x1:e,y1:r},n){const a=n+1,u=new Array(a);u[n]=(i+e)/2;const _=new Array(a);_[n]=(t+r)/2;const o=.5*Math.min(Math.abs(e-i),Math.abs(r-t)),h=new Array(a);h[n]=.4*o;const d=new Array(a);d[n]=.8*o,this._render(s,[n],{sx:u,sy:_,sinner_radius:h,souter_radius:d})}}t.AnnulusView=c,c.__name__=\"AnnulusView\";class l extends a.XYGlyph{constructor(s){super(s)}static init_Annulus(){this.prototype.default_view=c,this.mixins([_.LineVector,_.FillVector,_.HatchVector]),this.define((({})=>({inner_radius:[o.DistanceSpec,{field:\"inner_radius\"}],outer_radius:[o.DistanceSpec,{field:\"outer_radius\"}]})))}}t.Annulus=l,l.__name__=\"Annulus\",l.init_Annulus()},\n", - " function _(e,i,s,t,n){t();const r=e(1),a=e(64),c=e(106),d=e(48),_=e(24),l=e(20),o=r.__importStar(e(18));class h extends a.XYGlyphView{_map_data(){\"data\"==this.model.properties.radius.units?this.sradius=this.sdist(this.renderer.xscale,this._x,this.radius):this.sradius=_.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],_=n[s],l=r[s],o=a.get(s),h=c.get(s);isNaN(i+_+l+o+h)||(e.beginPath(),e.arc(i,_,l,o,h,d),this.visuals.line.set_vectorize(e,s),e.stroke())}}}draw_legend_for_index(e,i,s){c.generic_line_vector_legend(this.visuals,e,i,s)}}s.ArcView=h,h.__name__=\"ArcView\";class u extends a.XYGlyph{constructor(e){super(e)}static init_Arc(){this.prototype.default_view=h,this.mixins(d.LineVector),this.define((({})=>({direction:[l.Direction,\"anticlock\"],radius:[o.DistanceSpec,{field:\"radius\"}],start_angle:[o.AngleSpec,{field:\"start_angle\"}],end_angle:[o.AngleSpec,{field:\"end_angle\"}]})))}}s.Arc=u,u.__name__=\"Arc\",u.init_Arc()},\n", - " function _(e,t,i,s,n){s();const o=e(1),c=e(48),r=e(98),a=e(106),_=e(65),d=o.__importStar(e(18));function l(e,t,i,s,n,o,c,r){const a=[],_=[[],[]];for(let _=0;_<=2;_++){let d,l,x;if(0===_?(l=6*e-12*i+6*n,d=-3*e+9*i-9*n+3*c,x=3*i-3*e):(l=6*t-12*s+6*o,d=-3*t+9*s-9*o+3*r,x=3*s-3*t),Math.abs(d)<1e-12){if(Math.abs(l)<1e-12)continue;const e=-x/l;0({x0:[d.XCoordinateSpec,{field:\"x0\"}],y0:[d.YCoordinateSpec,{field:\"y0\"}],x1:[d.XCoordinateSpec,{field:\"x1\"}],y1:[d.YCoordinateSpec,{field:\"y1\"}],cx0:[d.XCoordinateSpec,{field:\"cx0\"}],cy0:[d.YCoordinateSpec,{field:\"cy0\"}],cx1:[d.XCoordinateSpec,{field:\"cx1\"}],cy1:[d.YCoordinateSpec,{field:\"cy1\"}]}))),this.mixins(c.LineVector)}}i.Bezier=h,h.__name__=\"Bezier\",h.init_Bezier()},\n", - " function _(s,i,e,t,r){t();const a=s(1),n=s(64),h=s(283),d=s(48),l=s(24),c=s(20),_=a.__importStar(s(107)),u=a.__importStar(s(18)),o=s(9),x=s(12),m=s(59);class y extends n.XYGlyphView{initialize(){super.initialize();const{webgl:s}=this.renderer.plot_view.canvas_view;null!=s&&(this.glglyph=new h.MarkerGL(s.gl,this,\"circle\"))}get use_radius(){return!(this.radius.is_Scalar()&&isNaN(this.radius.value))}_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=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=x.map(s,((s,e)=>Math.min(s,i[e])));break}}else this.sradius=l.to_screen(this.radius),this._configure(\"max_size\",{value:2*this.max_radius});else{const s=new l.ScreenArray(this.size);this.sradius=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];isNaN(i+n+h)||(s.beginPath(),s.arc(i,n,h,0,2*Math.PI,!1),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(s,e),s.fill()),this.visuals.hatch.doit&&(this.visuals.hatch.set_vectorize(s,e),s.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(s,e),s.stroke()))}}_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,c=e+this.max_size*a;[d,l]=this.renderer.yscale.r_invert(r,c)}const c=this.index.indices({x0:n,x1:h,y0:d,y1:l}),_=[];if(this.use_radius&&\"data\"==this.model.properties.radius.units)for(const s of c){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&&_.push(s)}else for(const s of c){const t=(this.sradius[s]*a)**2;(this.sx[s]-i)**2+(this.sy[s]-e)**2<=t&&_.push(s)}return new m.Selection({indices:_})}_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=o.range(0,this.sx.length),r=[];for(let s=0,a=t.length;s({angle:[u.AngleSpec,0],size:[u.ScreenDistanceSpec,{value:4}],radius:[u.NullDistanceSpec,null],radius_dimension:[c.RadiusDimension,\"x\"],hit_dilation:[s,1]})))}}e.Circle=p,p.__name__=\"Circle\",p.init_Circle()},\n", - " function _(t,e,s,i,a){i();const r=t(1),o=t(109),_=t(113),l=r.__importDefault(t(284)),h=r.__importDefault(t(285)),n=t(282),f=t(12),u=t(19),c=t(24),g=t(22),b=t(11);function d(t,e,s,i,a,r,o){if(a.doit)if(r.is_Scalar()&&o.is_Scalar()){e.used=!1;const[i,a,_,l]=g.color2rgba(r.value,o.value);t.set_attribute(s,\"vec4\",[i/255,a/255,_/255,l/255])}else{let a;if(e.used=!0,r.is_Vector()){const t=new c.ColorArray(r.array);if(a=new c.RGBAArray(t.buffer),!o.is_Scalar()||1!=o.value)for(let t=0;t2*t))),i.data_changed=!1),this.visuals_changed&&(this._set_visuals(a),this.visuals_changed=!1),this.prog.set_uniform(\"u_pixel_ratio\",\"float\",[s.pixel_ratio]),this.prog.set_uniform(\"u_canvas_size\",\"vec2\",[s.width,s.height]),this.prog.set_attribute(\"a_sx\",\"float\",i.vbo_sx),this.prog.set_attribute(\"a_sy\",\"float\",i.vbo_sy),this.prog.set_attribute(\"a_size\",\"float\",i.vbo_s),this.prog.set_attribute(\"a_angle\",\"float\",i.vbo_a),0!=t.length)if(t.length===a)this.prog.draw(this.gl.POINTS,[0,a]);else if(a<65535){const e=window.navigator.userAgent;e.indexOf(\"MSIE \")+e.indexOf(\"Trident/\")+e.indexOf(\"Edge/\")>0&&u.logger.warn(\"WebGL warning: IE is known to produce 1px sprites whith selections.\"),this.index_buffer.set_size(2*t.length),this.index_buffer.set_data(0,new Uint16Array(t)),this.prog.draw(this.gl.POINTS,this.index_buffer)}else{const e=64e3,s=[];for(let t=0,i=Math.ceil(a/e);t2*t))):this.vbo_s.set_data(0,new Float32Array(this.glyph.size))}_set_visuals(t){const{line:e,fill:s}=this.glyph.visuals;!function(t,e,s,i,a,r){if(a.doit){if(r.is_Scalar())e.used=!1,t.set_attribute(s,\"float\",[r.value]);else if(r.is_Vector()){e.used=!0;const a=new Float32Array(r.array);e.set_size(4*i),e.set_data(0,a),t.set_attribute(s,\"float\",e)}}else e.used=!1,t.set_attribute(s,\"float\",[0])}(this.prog,this.vbo_linewidth,\"a_linewidth\",t,e,e.line_width),d(this.prog,this.vbo_fg_color,\"a_fg_color\",t,e,e.line_color,e.line_alpha),d(this.prog,this.vbo_bg_color,\"a_bg_color\",t,s,s.fill_color,s.fill_alpha),this.prog.set_uniform(\"u_antialias\",\"float\",[.8])}}s.MarkerGL=p,p.__name__=\"MarkerGL\"},\n", - " function _(n,i,a,o,_){o();a.default=\"\\nprecision mediump float;\\nconst float SQRT_2 = 1.4142135623730951;\\n//\\nuniform float u_pixel_ratio;\\nuniform vec2 u_canvas_size;\\nuniform vec2 u_offset;\\nuniform vec2 u_scale;\\nuniform float u_antialias;\\n//\\nattribute float a_sx;\\nattribute float a_sy;\\nattribute float a_size;\\nattribute float a_angle; // in radians\\nattribute float a_linewidth;\\nattribute vec4 a_fg_color;\\nattribute vec4 a_bg_color;\\n//\\nvarying float v_linewidth;\\nvarying float v_size;\\nvarying vec4 v_fg_color;\\nvarying vec4 v_bg_color;\\nvarying vec2 v_rotation;\\n\\nvoid main (void)\\n{\\n v_size = a_size * u_pixel_ratio;\\n v_linewidth = a_linewidth * u_pixel_ratio;\\n v_fg_color = a_fg_color;\\n v_bg_color = a_bg_color;\\n v_rotation = vec2(cos(-a_angle), sin(-a_angle));\\n vec2 pos = vec2(a_sx, a_sy); // in pixels\\n pos += 0.5; // make up for Bokeh's offset\\n pos /= u_canvas_size / u_pixel_ratio; // in 0..1\\n gl_Position = vec4(pos*2.0-1.0, 0.0, 1.0);\\n gl_Position.y *= -1.0;\\n gl_PointSize = SQRT_2 * v_size + 2.0 * (v_linewidth + 1.5*u_antialias);\\n}\\n\"},\n", - " function _(n,a,s,e,t){e();s.default='\\nprecision mediump float;\\n\\nconst float SQRT_2 = 1.4142135623730951;\\nconst float PI = 3.14159265358979323846264;\\n\\nconst float IN_ANGLE = 0.6283185307179586; // PI/5. = 36 degrees (star of 5 pikes)\\n//const float OUT_ANGLE = PI/2. - IN_ANGLE; // External angle for regular stars\\nconst float COS_A = 0.8090169943749475; // cos(IN_ANGLE)\\nconst float SIN_A = 0.5877852522924731; // sin(IN_ANGLE)\\nconst float COS_B = 0.5877852522924731; // cos(OUT_ANGLE)\\nconst float SIN_B = 0.8090169943749475; // sin(OUT_ANGLE)\\n\\n//\\nuniform float u_antialias;\\n//\\nvarying vec4 v_fg_color;\\nvarying vec4 v_bg_color;\\nvarying float v_linewidth;\\nvarying float v_size;\\nvarying vec2 v_rotation;\\n\\n#ifdef USE_ASTERISK\\n// asterisk\\nfloat marker(vec2 P, float size)\\n{\\n // Masks\\n float diamond = max(abs(SQRT_2 / 2.0 * (P.x - P.y)), abs(SQRT_2 / 2.0 * (P.x + P.y))) - size / (2.0 * SQRT_2);\\n float square = max(abs(P.x), abs(P.y)) - size / (2.0 * SQRT_2);\\n // Shapes\\n float X = min(abs(P.x - P.y), abs(P.x + P.y)) - size / 100.0; // bit of \"width\" for aa\\n float cross = min(abs(P.x), abs(P.y)) - size / 100.0; // bit of \"width\" for aa\\n // Result is union of masked shapes\\n return min(max(X, diamond), max(cross, square));\\n}\\n#endif\\n\\n#ifdef USE_CIRCLE\\n// circle\\nfloat marker(vec2 P, float size)\\n{\\n return length(P) - size/2.0;\\n}\\n#endif\\n\\n#ifdef USE_SQUARE\\n// square\\nfloat marker(vec2 P, float size)\\n{\\n return max(abs(P.x), abs(P.y)) - size/2.0;\\n}\\n#endif\\n\\n#ifdef USE_DIAMOND\\n// diamond\\nfloat marker(vec2 P, float size)\\n{\\n float x = SQRT_2 / 2.0 * (P.x * 1.5 - P.y);\\n float y = SQRT_2 / 2.0 * (P.x * 1.5 + P.y);\\n float r1 = max(abs(x), abs(y)) - size / (2.0 * SQRT_2);\\n return r1 / SQRT_2;\\n}\\n#endif\\n\\n#ifdef USE_HEX\\n// hex\\nfloat marker(vec2 P, float size)\\n{\\n vec2 q = abs(P);\\n return max(q.y * 0.57735 + q.x - 1.0 * size/2.0, q.y - 0.866 * size/2.0);\\n}\\n#endif\\n\\n#ifdef USE_STAR\\n// star\\n// https://iquilezles.org/www/articles/distfunctions2d/distfunctions2d.htm\\nfloat marker(vec2 P, float size)\\n{\\n float bn = mod(atan(P.x, -P.y), 2.0*IN_ANGLE) - IN_ANGLE;\\n P = length(P)*vec2(cos(bn), abs(sin(bn)));\\n P -= size*vec2(COS_A, SIN_A)/2.;\\n P += vec2(COS_B, SIN_B)*clamp(-(P.x*COS_B + P.y*SIN_B), 0.0, size*SIN_A/SIN_B/2.);\\n\\n return length(P)*sign(P.x);\\n}\\n#endif\\n\\n#ifdef USE_TRIANGLE\\n// triangle\\nfloat marker(vec2 P, float size)\\n{\\n P.y -= size * 0.3;\\n float x = SQRT_2 / 2.0 * (P.x * 1.7 - P.y);\\n float y = SQRT_2 / 2.0 * (P.x * 1.7 + P.y);\\n float r1 = max(abs(x), abs(y)) - size / 1.6;\\n float r2 = P.y;\\n return max(r1 / SQRT_2, r2); // Intersect diamond with rectangle\\n}\\n#endif\\n\\n#ifdef USE_INVERTED_TRIANGLE\\n// inverted_triangle\\nfloat marker(vec2 P, float size)\\n{\\n P.y += size * 0.3;\\n float x = SQRT_2 / 2.0 * (P.x * 1.7 - P.y);\\n float y = SQRT_2 / 2.0 * (P.x * 1.7 + P.y);\\n float r1 = max(abs(x), abs(y)) - size / 1.6;\\n float r2 = - P.y;\\n return max(r1 / SQRT_2, r2); // Intersect diamond with rectangle\\n}\\n#endif\\n\\n#ifdef USE_CROSS\\n// cross\\nfloat marker(vec2 P, float size)\\n{\\n float square = max(abs(P.x), abs(P.y)) - size / 2.5; // 2.5 is a tweak\\n float cross = min(abs(P.x), abs(P.y)) - size / 100.0; // bit of \"width\" for aa\\n return max(square, cross);\\n}\\n#endif\\n\\n#ifdef USE_CIRCLE_CROSS\\n// circle_cross\\nfloat marker(vec2 P, float size)\\n{\\n // Define quadrants\\n float qs = size / 2.0; // quadrant size\\n float s1 = max(abs(P.x - qs), abs(P.y - qs)) - qs;\\n float s2 = max(abs(P.x + qs), abs(P.y - qs)) - qs;\\n float s3 = max(abs(P.x - qs), abs(P.y + qs)) - qs;\\n float s4 = max(abs(P.x + qs), abs(P.y + qs)) - qs;\\n // Intersect main shape with quadrants (to form cross)\\n float circle = length(P) - size/2.0;\\n float c1 = max(circle, s1);\\n float c2 = max(circle, s2);\\n float c3 = max(circle, s3);\\n float c4 = max(circle, s4);\\n // Union\\n return min(min(min(c1, c2), c3), c4);\\n}\\n#endif\\n\\n#ifdef USE_SQUARE_CROSS\\n// square_cross\\nfloat marker(vec2 P, float size)\\n{\\n // Define quadrants\\n float qs = size / 2.0; // quadrant size\\n float s1 = max(abs(P.x - qs), abs(P.y - qs)) - qs;\\n float s2 = max(abs(P.x + qs), abs(P.y - qs)) - qs;\\n float s3 = max(abs(P.x - qs), abs(P.y + qs)) - qs;\\n float s4 = max(abs(P.x + qs), abs(P.y + qs)) - qs;\\n // Intersect main shape with quadrants (to form cross)\\n float square = max(abs(P.x), abs(P.y)) - size/2.0;\\n float c1 = max(square, s1);\\n float c2 = max(square, s2);\\n float c3 = max(square, s3);\\n float c4 = max(square, s4);\\n // Union\\n return min(min(min(c1, c2), c3), c4);\\n}\\n#endif\\n\\n#ifdef USE_DIAMOND_CROSS\\n// diamond_cross\\nfloat marker(vec2 P, float size)\\n{\\n // Define quadrants\\n float qs = size / 2.0; // quadrant size\\n float s1 = max(abs(P.x - qs), abs(P.y - qs)) - qs;\\n float s2 = max(abs(P.x + qs), abs(P.y - qs)) - qs;\\n float s3 = max(abs(P.x - qs), abs(P.y + qs)) - qs;\\n float s4 = max(abs(P.x + qs), abs(P.y + qs)) - qs;\\n // Intersect main shape with quadrants (to form cross)\\n float x = SQRT_2 / 2.0 * (P.x * 1.5 - P.y);\\n float y = SQRT_2 / 2.0 * (P.x * 1.5 + P.y);\\n float diamond = max(abs(x), abs(y)) - size / (2.0 * SQRT_2);\\n diamond /= SQRT_2;\\n float c1 = max(diamond, s1);\\n float c2 = max(diamond, s2);\\n float c3 = max(diamond, s3);\\n float c4 = max(diamond, s4);\\n // Union\\n return min(min(min(c1, c2), c3), c4);\\n}\\n#endif\\n\\n#ifdef USE_X\\n// x\\nfloat marker(vec2 P, float size)\\n{\\n float circle = length(P) - size / 1.6;\\n float X = min(abs(P.x - P.y), abs(P.x + P.y)) - size / 100.0; // bit of \"width\" for aa\\n return max(circle, X);\\n}\\n#endif\\n\\n#ifdef USE_CIRCLE_X\\n// circle_x\\nfloat marker(vec2 P, float size)\\n{\\n float x = P.x - P.y;\\n float y = P.x + P.y;\\n // Define quadrants\\n float qs = size / 2.0; // quadrant size\\n float s1 = max(abs(x - qs), abs(y - qs)) - qs;\\n float s2 = max(abs(x + qs), abs(y - qs)) - qs;\\n float s3 = max(abs(x - qs), abs(y + qs)) - qs;\\n float s4 = max(abs(x + qs), abs(y + qs)) - qs;\\n // Intersect main shape with quadrants (to form cross)\\n float circle = length(P) - size/2.0;\\n float c1 = max(circle, s1);\\n float c2 = max(circle, s2);\\n float c3 = max(circle, s3);\\n float c4 = max(circle, s4);\\n // Union\\n float almost = min(min(min(c1, c2), c3), c4);\\n // In this case, the X is also outside of the main shape\\n float Xmask = length(P) - size / 1.6; // a circle\\n float X = min(abs(P.x - P.y), abs(P.x + P.y)) - size / 100.0; // bit of \"width\" for aa\\n return min(max(X, Xmask), almost);\\n}\\n#endif\\n\\n#ifdef USE_SQUARE_X\\n// square_x\\nfloat marker(vec2 P, float size)\\n{\\n float x = P.x - P.y;\\n float y = P.x + P.y;\\n // Define quadrants\\n float qs = size / 2.0; // quadrant size\\n float s1 = max(abs(x - qs), abs(y - qs)) - qs;\\n float s2 = max(abs(x + qs), abs(y - qs)) - qs;\\n float s3 = max(abs(x - qs), abs(y + qs)) - qs;\\n float s4 = max(abs(x + qs), abs(y + qs)) - qs;\\n // Intersect main shape with quadrants (to form cross)\\n float square = max(abs(P.x), abs(P.y)) - size/2.0;\\n float c1 = max(square, s1);\\n float c2 = max(square, s2);\\n float c3 = max(square, s3);\\n float c4 = max(square, s4);\\n // Union\\n return min(min(min(c1, c2), c3), c4);\\n}\\n#endif\\n\\nvec4 outline(float distance, float linewidth, float antialias, vec4 fg_color, vec4 bg_color)\\n{\\n vec4 frag_color;\\n float t = linewidth/2.0 - antialias;\\n float signed_distance = distance;\\n float border_distance = abs(signed_distance) - t;\\n float alpha = border_distance/antialias;\\n alpha = exp(-alpha*alpha);\\n\\n // If fg alpha is zero, it probably means no outline. To avoid a dark outline\\n // shining through due to aa, we set the fg color to the bg color. Avoid if (i.e. branching).\\n float select = float(bool(fg_color.a));\\n fg_color.rgb = select * fg_color.rgb + (1.0 - select) * bg_color.rgb;\\n // Similarly, if we want a transparent bg\\n select = float(bool(bg_color.a));\\n bg_color.rgb = select * bg_color.rgb + (1.0 - select) * fg_color.rgb;\\n\\n if( border_distance < 0.0)\\n frag_color = fg_color;\\n else if( signed_distance < 0.0 ) {\\n frag_color = mix(bg_color, fg_color, sqrt(alpha));\\n } else {\\n if( abs(signed_distance) < (linewidth/2.0 + antialias) ) {\\n frag_color = vec4(fg_color.rgb, fg_color.a * alpha);\\n } else {\\n discard;\\n }\\n }\\n return frag_color;\\n}\\n\\nvoid main()\\n{\\n vec2 P = gl_PointCoord.xy - vec2(0.5, 0.5);\\n P = vec2(v_rotation.x*P.x - v_rotation.y*P.y,\\n v_rotation.y*P.x + v_rotation.x*P.y);\\n float point_size = SQRT_2*v_size + 2.0 * (v_linewidth + 1.5*u_antialias);\\n float distance = marker(P*point_size, v_size);\\n gl_FragColor = outline(distance, v_linewidth, u_antialias, v_fg_color, v_bg_color);\\n}\\n'},\n", - " function _(e,l,i,s,t){s();const _=e(287);class p extends _.EllipseOvalView{}i.EllipseView=p,p.__name__=\"EllipseView\";class n extends _.EllipseOval{constructor(e){super(e)}static init_Ellipse(){this.prototype.default_view=p}}i.Ellipse=n,n.__name__=\"Ellipse\",n.init_Ellipse()},\n", - " function _(t,s,i,e,h){e();const r=t(1),a=t(288),n=r.__importStar(t(107)),l=t(24),o=t(59);class _ extends a.CenterRotatableView{_map_data(){\"data\"==this.model.properties.width.units?this.sw=this.sdist(this.renderer.xscale,this._x,this.width,\"center\"):this.sw=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=l.to_screen(this.height)}_render(t,s,i){const{sx:e,sy:h,sw:r,sh:a,angle:n}=null!=i?i:this;for(const i of s){const s=e[i],l=h[i],o=r[i],_=a[i],d=n.get(i);isNaN(s+l+o+_+d)||(t.beginPath(),t.ellipse(s,l,o/2,_/2,d,0,2*Math.PI),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(t,i),t.fill()),this.visuals.hatch.doit&&(this.visuals.hatch.set_vectorize(t,i),t.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(t,i),t.stroke()))}}_hit_point(t){let s,i,e,h,r,a,l,_,d;const{sx:c,sy:x}=t,w=this.renderer.xscale.invert(c),p=this.renderer.yscale.invert(x);\"data\"==this.model.properties.width.units?(s=w-this.max_width,i=w+this.max_width):(a=c-this.max_width,l=c+this.max_width,[s,i]=this.renderer.xscale.r_invert(a,l)),\"data\"==this.model.properties.height.units?(e=p-this.max_height,h=p+this.max_height):(_=x-this.max_height,d=x+this.max_height,[e,h]=this.renderer.yscale.r_invert(_,d));const m=this.index.indices({x0:s,x1:i,y0:e,y1:h}),v=[];for(const t of m)r=n.point_in_ellipse(c,x,this.angle.get(t),this.sh[t]/2,this.sw[t]/2,this.sx[t],this.sy[t]),r&&v.push(t);return new o.Selection({indices:v})}draw_legend_for_index(t,{x0:s,y0:i,x1:e,y1:h},r){const a=r+1,n=new Array(a);n[r]=(s+e)/2;const l=new Array(a);l[r]=(i+h)/2;const o=this.sw[r]/this.sh[r],_=.8*Math.min(Math.abs(e-s),Math.abs(h-i)),d=new Array(a),c=new Array(a);o>1?(d[r]=_,c[r]=_/o):(d[r]=_*o,c[r]=_),this._render(t,[r],{sx:n,sy:l,sw:d,sh:c,_angle:[0]})}}i.EllipseOvalView=_,_.__name__=\"EllipseOvalView\";class d extends a.CenterRotatable{constructor(t){super(t)}}i.EllipseOval=d,d.__name__=\"EllipseOval\"},\n", - " function _(t,e,i,a,n){a();const s=t(1),h=t(64),r=t(48),o=s.__importStar(t(18));class _ 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:t,x1:e,y0:i,y1:a}){const{max_w2:n,max_h2:s}=this;return{x0:t-n,x1:e+n,y0:i-s,y1:a+s}}}i.CenterRotatableView=_,_.__name__=\"CenterRotatableView\";class l extends h.XYGlyph{constructor(t){super(t)}static init_CenterRotatable(){this.mixins([r.LineVector,r.FillVector,r.HatchVector]),this.define((({})=>({angle:[o.AngleSpec,0],width:[o.DistanceSpec,{field:\"width\"}],height:[o.DistanceSpec,{field:\"height\"}]})))}}i.CenterRotatable=l,l.__name__=\"CenterRotatable\",l.init_CenterRotatable()},\n", - " function _(t,e,s,i,h){i();const r=t(1),a=t(290),n=t(24),_=r.__importStar(t(18));class o extends a.BoxView{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],h=this.height.get(t)/2;return[Math.min(e,s),Math.max(e,s),i+h,i-h]}_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 n.ScreenArray(t),this.sbottom=new n.ScreenArray(t);for(let e=0;e({left:[_.XCoordinateSpec,{value:0}],y:[_.YCoordinateSpec,{field:\"y\"}],height:[_.NumberSpec,{value:1}],right:[_.XCoordinateSpec,{field:\"right\"}]})))}}s.HBar=c,c.__name__=\"HBar\",c.init_HBar()},\n", - " function _(t,e,s,i,r){i();const n=t(48),o=t(98),a=t(106),h=t(59);class c extends o.GlyphView{get_anchor_point(t,e,s){const i=Math.min(this.sleft[e],this.sright[e]),r=Math.max(this.sright[e],this.sleft[e]),n=Math.min(this.stop[e],this.sbottom[e]),o=Math.max(this.sbottom[e],this.stop[e]);switch(t){case\"top_left\":return{x:i,y:n};case\"top\":case\"top_center\":return{x:(i+r)/2,y:n};case\"top_right\":return{x:r,y:n};case\"bottom_left\":return{x:i,y:o};case\"bottom\":case\"bottom_center\":return{x:(i+r)/2,y:o};case\"bottom_right\":return{x:r,y:o};case\"left\":case\"center_left\":return{x:i,y:(n+o)/2};case\"center\":case\"center_center\":return{x:(i+r)/2,y:(n+o)/2};case\"right\":case\"center_right\":return{x:r,y:(n+o)/2}}}_index_data(t){const{min:e,max:s}=Math,{data_size:i}=this;for(let r=0;r({r:[c.NumberSpec,{field:\"r\"}],q:[c.NumberSpec,{field:\"q\"}],scale:[c.NumberSpec,1],size:[e,1],aspect_scale:[e,1],orientation:[h.HexTileOrientation,\"pointytop\"]}))),this.override({line_color:null})}}s.HexTile=y,y.__name__=\"HexTile\",y.init_HexTile()},\n", - " function _(e,a,t,_,s){_();const i=e(293),n=e(203),r=e(214);class o extends i.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=o,o.__name__=\"ImageView\";class m extends i.ImageBase{constructor(e){super(e)}static init_Image(){this.prototype.default_view=o,this.define((({Ref:e})=>({color_mapper:[e(n.ColorMapper),()=>new r.LinearColorMapper({palette:[\"#000000\",\"#252525\",\"#525252\",\"#737373\",\"#969696\",\"#bdbdbd\",\"#d9d9d9\",\"#f0f0f0\",\"#ffffff\"]})]})))}}t.Image=m,m.__name__=\"Image\",m.init_Image()},\n", - " function _(e,t,i,s,a){s();const h=e(1),n=e(64),r=e(24),_=h.__importStar(e(18)),d=e(59),l=e(9),g=e(29),o=e(11);class c extends n.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}=null!=i?i:this,_=e.getImageSmoothingEnabled();e.setImageSmoothingEnabled(!1),e.globalAlpha=this.model.global_alpha;for(const i of t){const t=s[i],_=a[i],d=h[i],l=n[i],g=r[i];if(null==t||isNaN(_+d+l+g))continue;const o=d;e.translate(0,o),e.scale(1,-1),e.translate(0,-o),e.drawImage(t,0|_,0|d,l,g),e.translate(0,o),e.scale(1,-1),e.translate(0,-o)}e.setImageSmoothingEnabled(_)}_set_data(e){this._set_width_heigh_data();for(let t=0,i=this.image.length;t({image:[_.NDArraySpec,{field:\"image\"}],dw:[_.DistanceSpec,{field:\"dw\"}],dh:[_.DistanceSpec,{field:\"dh\"}],dilate:[e,!1],global_alpha:[t,1]})))}}i.ImageBase=m,m.__name__=\"ImageBase\",m.init_ImageBase()},\n", - " function _(e,a,t,_,i){_();const n=e(293),s=e(8);class r extends n.ImageBaseView{_flat_img_to_buf8(e){let a;return a=s.isArray(e)?new Uint32Array(e):e,new Uint8ClampedArray(a.buffer)}}t.ImageRGBAView=r,r.__name__=\"ImageRGBAView\";class m extends n.ImageBase{constructor(e){super(e)}static init_ImageRGBA(){this.prototype.default_view=r}}t.ImageRGBA=m,m.__name__=\"ImageRGBA\",m.init_ImageRGBA()},\n", - " function _(e,t,s,r,a){r();const i=e(1),n=e(64),o=e(24),c=e(20),_=i.__importStar(e(18)),h=e(12),l=e(296);class d extends n.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,c=new o.ScreenArray(a?2*n:n),_=new o.ScreenArray(i?2*n:n),{anchor:d}=this.model;function m(e,t){switch(d){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(d){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:[_.StringSpec,{field:\"url\"}],anchor:[c.Anchor,\"top_left\"],global_alpha:[s,1],angle:[_.AngleSpec,0],w:[_.NullDistanceSpec,null],h:[_.NullDistanceSpec,null],dilate:[e,!1],retry_attempts:[t,0],retry_timeout:[t,0]})))}}s.ImageURL=m,m.__name__=\"ImageURL\",m.init_ImageURL()},\n", - " function _(i,e,t,s,o){s();const a=i(19);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,s,e,i,n){i();const o=t(1),l=t(101),r=t(98),h=t(106),_=t(12),a=t(12),c=t(48),d=o.__importStar(t(107)),x=o.__importStar(t(18)),y=t(59),f=t(11);class g extends r.GlyphView{_project_data(){}_index_data(t){const{min:s,max:e}=Math,{data_size:i}=this;for(let n=0;n1&&c.length>1)for(let e=1,i=n.length;e1){let l=!1;for(let t=1;t({xs:[x.XCoordinateSeqSeqSeqSpec,{field:\"xs\"}],ys:[x.YCoordinateSeqSeqSeqSpec,{field:\"ys\"}]}))),this.mixins([c.LineVector,c.FillVector,c.HatchVector])}}e.MultiPolygons=p,p.__name__=\"MultiPolygons\",p.init_MultiPolygons()},\n", - " function _(a,t,e,l,s){l();const _=a(287),i=a(12);class n extends _.EllipseOvalView{_map_data(){super._map_data(),i.mul(this.sw,.75)}}e.OvalView=n,n.__name__=\"OvalView\";class v extends _.EllipseOval{constructor(a){super(a)}static init_Oval(){this.prototype.default_view=n}}e.Oval=v,v.__name__=\"Oval\",v.init_Oval()},\n", - " function _(t,e,i,o,s){o();const r=t(1),_=t(290),d=r.__importStar(t(18));class n extends _.BoxView{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=n,n.__name__=\"QuadView\";class a extends _.Box{constructor(t){super(t)}static init_Quad(){this.prototype.default_view=n,this.define((({})=>({right:[d.XCoordinateSpec,{field:\"right\"}],bottom:[d.YCoordinateSpec,{field:\"bottom\"}],left:[d.XCoordinateSpec,{field:\"left\"}],top:[d.YCoordinateSpec,{field:\"top\"}]})))}}i.Quad=a,a.__name__=\"Quad\",a.init_Quad()},\n", - " function _(e,t,i,s,n){s();const a=e(1),c=e(48),o=e(65),r=e(98),_=e(106),d=a.__importStar(e(18));function l(e,t,i){if(t==(e+i)/2)return[e,i];{const s=(e-t)/(e-2*t+i),n=e*(1-s)**2+2*t*(1-s)*s+i*s**2;return[Math.min(e,i,n),Math.max(e,i,n)]}}class x extends r.GlyphView{_project_data(){o.inplace.project_xy(this._x0,this._y0),o.inplace.project_xy(this._x1,this._y1)}_index_data(e){const{_x0:t,_x1:i,_y0:s,_y1:n,_cx:a,_cy:c,data_size:o}=this;for(let r=0;r({x0:[d.XCoordinateSpec,{field:\"x0\"}],y0:[d.YCoordinateSpec,{field:\"y0\"}],x1:[d.XCoordinateSpec,{field:\"x1\"}],y1:[d.YCoordinateSpec,{field:\"y1\"}],cx:[d.XCoordinateSpec,{field:\"cx\"}],cy:[d.YCoordinateSpec,{field:\"cy\"}]}))),this.mixins(c.LineVector)}}i.Quadratic=y,y.__name__=\"Quadratic\",y.init_Quadratic()},\n", - " function _(e,t,s,i,n){i();const a=e(1),l=e(64),h=e(106),r=e(48),o=e(24),_=a.__importStar(e(18));class c extends l.XYGlyphView{_map_data(){\"data\"==this.model.properties.length.units?this.slength=this.sdist(this.renderer.xscale,this._x,this.length):this.slength=o.to_screen(this.length);const{width:e,height:t}=this.renderer.plot_view.frame.bbox,s=2*(e+t),{slength:i}=this;for(let e=0,t=i.length;e({length:[_.DistanceSpec,0],angle:[_.AngleSpec,0]})))}}s.Ray=g,g.__name__=\"Ray\",g.init_Ray()},\n", - " function _(t,s,e,i,h){i();const r=t(288),n=t(106),a=t(24),o=t(12),l=t(59);class _ extends r.CenterRotatableView{_map_data(){if(\"data\"==this.model.properties.width.units)[this.sw,this.sx0]=this._map_dist_corner_for_data_side_length(this._x,this.width,this.renderer.xscale);else{this.sw=a.to_screen(this.width);const t=this.sx.length;this.sx0=new a.ScreenArray(t);for(let s=0;s({dilate:[t,!1]})))}}e.Rect=c,c.__name__=\"Rect\",c.init_Rect()},\n", - " function _(e,t,r,s,i){s();const a=e(1),n=e(304),_=e(305),l=e(283),c=a.__importStar(e(18));class o extends n.MarkerView{_init_webgl(){const{webgl:e}=this.renderer.plot_view.canvas_view;if(null!=e){const t=new Set(this.marker);if(1==t.size){const[r]=[...t];if(l.MarkerGL.is_supported(r)){const{glglyph:t}=this;if(null==t||t.marker_type!=r)return void(this.glglyph=new l.MarkerGL(e.gl,this,r))}}}delete this.glglyph}_set_data(e){super._set_data(e),this._init_webgl()}_render(e,t,r){const{sx:s,sy:i,size:a,angle:n,marker:l}=null!=r?r:this;for(const r of t){const t=s[r],c=i[r],o=a.get(r),g=n.get(r),h=l.get(r);if(isNaN(t+c+o+g)||null==h)continue;const d=o/2;e.beginPath(),e.translate(t,c),g&&e.rotate(g),_.marker_funcs[h](e,r,d,this.visuals),g&&e.rotate(-g),e.translate(-t,-c)}}draw_legend_for_index(e,{x0:t,x1:r,y0:s,y1:i},a){const n=a+1,_=this.marker.get(a),l=Object.assign(Object.assign({},this._get_legend_args({x0:t,x1:r,y0:s,y1:i},a)),{marker:new c.UniformScalar(_,n)});this._render(e,[a],l)}}r.ScatterView=o,o.__name__=\"ScatterView\";class g extends n.Marker{constructor(e){super(e)}static init_Scatter(){this.prototype.default_view=o,this.define((()=>({marker:[c.MarkerSpec,{value:\"circle\"}]})))}}r.Scatter=g,g.__name__=\"Scatter\",g.init_Scatter()},\n", - " function _(e,t,s,i,n){i();const r=e(1),a=e(64),c=e(48),_=r.__importStar(e(107)),o=r.__importStar(e(18)),h=e(9),l=e(59);class x extends a.XYGlyphView{_render(e,t,s){const{sx:i,sy:n,size:r,angle:a}=null!=s?s:this;for(const s of t){const t=i[s],c=n[s],_=r.get(s),o=a.get(s);if(isNaN(t+c+_+o))continue;const h=_/2;e.beginPath(),e.translate(t,c),o&&e.rotate(o),this._render_one(e,s,h,this.visuals),o&&e.rotate(-o),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))),i=t.widen(this.max_size).map((e=>this.renderer.yscale.invert(e)));return this.index.indices({x0:s.start,x1:s.end,y0:i.start,y1:i.end})}_hit_point(e){const{sx:t,sy:s}=e,{max_size:i}=this,{hit_dilation:n}=this.model,r=t-i*n,a=t+i*n,[c,_]=this.renderer.xscale.r_invert(r,a),o=s-i*n,h=s+i*n,[x,d]=this.renderer.yscale.r_invert(o,h),y=this.index.indices({x0:c,x1:_,y0:x,y1:d}),g=[];for(const e of y){const i=this.size.get(e)/2*n;Math.abs(this.sx[e]-t)<=i&&Math.abs(this.sy[e]-s)<=i&&g.push(e)}return new l.Selection({indices:g})}_hit_span(e){const{sx:t,sy:s}=e,i=this.bounds(),n=this.max_size/2;let r,a,c,_;if(\"h\"==e.direction){c=i.y0,_=i.y1;const e=t-n,s=t+n;[r,a]=this.renderer.xscale.r_invert(e,s)}else{r=i.x0,a=i.x1;const e=s-n,t=s+n;[c,_]=this.renderer.yscale.r_invert(e,t)}const o=[...this.index.indices({x0:r,x1:a,y0:c,y1:_})];return new l.Selection({indices:o})}_hit_rect(e){const{sx0:t,sx1:s,sy0:i,sy1:n}=e,[r,a]=this.renderer.xscale.r_invert(t,s),[c,_]=this.renderer.yscale.r_invert(i,n),o=[...this.index.indices({x0:r,x1:a,y0:c,y1:_})];return new l.Selection({indices:o})}_hit_poly(e){const{sx:t,sy:s}=e,i=h.range(0,this.sx.length),n=[];for(let e=0,r=i.length;e({size:[o.ScreenDistanceSpec,{value:4}],angle:[o.AngleSpec,0],hit_dilation:[e,1]})))}}s.Marker=d,d.__name__=\"Marker\",d.init_Marker()},\n", - " function _(t,e,i,o,l){o();const n=Math.sqrt(3),c=Math.sqrt(5),r=(c+1)/4,s=Math.sqrt((5-c)/8),f=(c-1)/4,a=Math.sqrt((5+c)/8);function h(t,e){t.rotate(Math.PI/4),d(t,e),t.rotate(-Math.PI/4)}function v(t,e){const i=e*n,o=i/3;t.moveTo(-i/2,-o),t.lineTo(0,0),t.lineTo(i/2,-o),t.lineTo(0,0),t.lineTo(0,e)}function d(t,e){t.moveTo(0,e),t.lineTo(0,-e),t.moveTo(-e,0),t.lineTo(e,0)}function _(t,e){t.moveTo(0,e),t.lineTo(e/1.5,0),t.lineTo(0,-e),t.lineTo(-e/1.5,0),t.closePath()}function u(t,e){const i=e*n,o=i/3;t.moveTo(-e,o),t.lineTo(e,o),t.lineTo(0,o-i),t.closePath()}function z(t,e,i,o){t.arc(0,0,i,0,2*Math.PI,!1),o.fill.doit&&(o.fill.set_vectorize(t,e),t.fill()),o.hatch.doit&&(o.hatch.set_vectorize(t,e),t.fill()),o.line.doit&&(o.line.set_vectorize(t,e),t.stroke())}function T(t,e,i,o){_(t,i),o.fill.doit&&(o.fill.set_vectorize(t,e),t.fill()),o.hatch.doit&&(o.hatch.set_vectorize(t,e),t.fill()),o.line.doit&&(o.line.set_vectorize(t,e),t.stroke())}function k(t,e,i,o){!function(t,e){t.beginPath(),t.arc(0,0,e/4,0,2*Math.PI,!1),t.closePath()}(t,i),o.line.set_vectorize(t,e),t.fillStyle=t.strokeStyle,t.fill()}function P(t,e,i,o){!function(t,e){const i=e/2,o=n*i;t.moveTo(e,0),t.lineTo(i,-o),t.lineTo(-i,-o),t.lineTo(-e,0),t.lineTo(-i,o),t.lineTo(i,o),t.closePath()}(t,i),o.fill.doit&&(o.fill.set_vectorize(t,e),t.fill()),o.hatch.doit&&(o.hatch.set_vectorize(t,e),t.fill()),o.line.doit&&(o.line.set_vectorize(t,e),t.stroke())}function m(t,e,i,o){const l=2*i;t.rect(-i,-i,l,l),o.fill.doit&&(o.fill.set_vectorize(t,e),t.fill()),o.hatch.doit&&(o.hatch.set_vectorize(t,e),t.fill()),o.line.doit&&(o.line.set_vectorize(t,e),t.stroke())}function q(t,e,i,o){!function(t,e){const i=Math.sqrt(5-2*c)*e;t.moveTo(0,-e),t.lineTo(i*f,i*a-e),t.lineTo(i*(1+f),i*a-e),t.lineTo(i*(1+f-r),i*(a+s)-e),t.lineTo(i*(1+2*f-r),i*(2*a+s)-e),t.lineTo(0,2*i*a-e),t.lineTo(-i*(1+2*f-r),i*(2*a+s)-e),t.lineTo(-i*(1+f-r),i*(a+s)-e),t.lineTo(-i*(1+f),i*a-e),t.lineTo(-i*f,i*a-e),t.closePath()}(t,i),o.fill.doit&&(o.fill.set_vectorize(t,e),t.fill()),o.hatch.doit&&(o.hatch.set_vectorize(t,e),t.fill()),o.line.doit&&(o.line.set_vectorize(t,e),t.stroke())}function M(t,e,i,o){u(t,i),o.fill.doit&&(o.fill.set_vectorize(t,e),t.fill()),o.hatch.doit&&(o.hatch.set_vectorize(t,e),t.fill()),o.line.doit&&(o.line.set_vectorize(t,e),t.stroke())}i.marker_funcs={asterisk:function(t,e,i,o){d(t,i),h(t,i),o.line.doit&&(o.line.set_vectorize(t,e),t.stroke())},circle:z,circle_cross:function(t,e,i,o){t.arc(0,0,i,0,2*Math.PI,!1),o.fill.doit&&(o.fill.set_vectorize(t,e),t.fill()),o.hatch.doit&&(o.hatch.set_vectorize(t,e),t.fill()),o.line.doit&&(o.line.set_vectorize(t,e),d(t,i),t.stroke())},circle_dot:function(t,e,i,o){z(t,e,i,o),k(t,e,i,o)},circle_y:function(t,e,i,o){t.arc(0,0,i,0,2*Math.PI,!1),o.fill.doit&&(o.fill.set_vectorize(t,e),t.fill()),o.hatch.doit&&(o.hatch.set_vectorize(t,e),t.fill()),o.line.doit&&(o.line.set_vectorize(t,e),v(t,i),t.stroke())},circle_x:function(t,e,i,o){t.arc(0,0,i,0,2*Math.PI,!1),o.fill.doit&&(o.fill.set_vectorize(t,e),t.fill()),o.hatch.doit&&(o.hatch.set_vectorize(t,e),t.fill()),o.line.doit&&(o.line.set_vectorize(t,e),h(t,i),t.stroke())},cross:function(t,e,i,o){d(t,i),o.line.doit&&(o.line.set_vectorize(t,e),t.stroke())},diamond:T,diamond_dot:function(t,e,i,o){T(t,e,i,o),k(t,e,i,o)},diamond_cross:function(t,e,i,o){_(t,i),o.fill.doit&&(o.fill.set_vectorize(t,e),t.fill()),o.hatch.doit&&(o.hatch.set_vectorize(t,e),t.fill()),o.line.doit&&(o.line.set_vectorize(t,e),t.moveTo(0,i),t.lineTo(0,-i),t.moveTo(-i/1.5,0),t.lineTo(i/1.5,0),t.stroke())},dot:k,hex:P,hex_dot:function(t,e,i,o){P(t,e,i,o),k(t,e,i,o)},inverted_triangle:function(t,e,i,o){t.rotate(Math.PI),u(t,i),t.rotate(-Math.PI),o.fill.doit&&(o.fill.set_vectorize(t,e),t.fill()),o.hatch.doit&&(o.hatch.set_vectorize(t,e),t.fill()),o.line.doit&&(o.line.set_vectorize(t,e),t.stroke())},plus:function(t,e,i,o){const l=3*i/8,n=[l,l,i,i,l,l,-l,-l,-i,-i,-l,-l],c=[i,l,l,-l,-l,-i,-i,-l,-l,l,l,i];t.beginPath();for(let e=0;e<12;e++)t.lineTo(n[e],c[e]);t.closePath(),o.fill.doit&&(o.fill.set_vectorize(t,e),t.fill()),o.hatch.doit&&(o.hatch.set_vectorize(t,e),t.fill()),o.line.doit&&(o.line.set_vectorize(t,e),t.stroke())},square:m,square_cross:function(t,e,i,o){const l=2*i;t.rect(-i,-i,l,l),o.fill.doit&&(o.fill.set_vectorize(t,e),t.fill()),o.hatch.doit&&(o.hatch.set_vectorize(t,e),t.fill()),o.line.doit&&(o.line.set_vectorize(t,e),d(t,i),t.stroke())},square_dot:function(t,e,i,o){m(t,e,i,o),k(t,e,i,o)},square_pin:function(t,e,i,o){const l=3*i/8;t.moveTo(-i,-i),t.quadraticCurveTo(0,-l,i,-i),t.quadraticCurveTo(l,0,i,i),t.quadraticCurveTo(0,l,-i,i),t.quadraticCurveTo(-l,0,-i,-i),t.closePath(),o.fill.doit&&(o.fill.set_vectorize(t,e),t.fill()),o.hatch.doit&&(o.hatch.set_vectorize(t,e),t.fill()),o.line.doit&&(o.line.set_vectorize(t,e),t.stroke())},square_x:function(t,e,i,o){const l=2*i;t.rect(-i,-i,l,l),o.fill.doit&&(o.fill.set_vectorize(t,e),t.fill()),o.hatch.doit&&(o.hatch.set_vectorize(t,e),t.fill()),o.line.doit&&(o.line.set_vectorize(t,e),t.moveTo(-i,i),t.lineTo(i,-i),t.moveTo(-i,-i),t.lineTo(i,i),t.stroke())},star:q,star_dot:function(t,e,i,o){q(t,e,i,o),k(t,e,i,o)},triangle:M,triangle_dot:function(t,e,i,o){M(t,e,i,o),k(t,e,i,o)},triangle_pin:function(t,e,i,o){const l=i*n,c=l/3,r=3*c/8;t.moveTo(-i,c),t.quadraticCurveTo(0,r,i,c),t.quadraticCurveTo(n*r/2,r/2,0,c-l),t.quadraticCurveTo(-n*r/2,r/2,-i,c),t.closePath(),o.fill.doit&&(o.fill.set_vectorize(t,e),t.fill()),o.hatch.doit&&(o.hatch.set_vectorize(t,e),t.fill()),o.line.doit&&(o.line.set_vectorize(t,e),t.stroke())},dash:function(t,e,i,o){!function(t,e){t.moveTo(-e,0),t.lineTo(e,0)}(t,i),o.line.doit&&(o.line.set_vectorize(t,e),t.stroke())},x:function(t,e,i,o){h(t,i),o.line.doit&&(o.line.set_vectorize(t,e),t.stroke())},y:function(t,e,i,o){v(t,i),o.line.doit&&(o.line.set_vectorize(t,e),t.stroke())}}},\n", - " function _(e,t,s,i,n){i();const r=e(1),_=r.__importStar(e(107)),o=r.__importStar(e(18)),h=e(48),a=e(65),c=e(98),d=e(106),x=e(59);class y extends c.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:_,data_size:o}=this;for(let h=0;h({x0:[o.XCoordinateSpec,{field:\"x0\"}],y0:[o.YCoordinateSpec,{field:\"y0\"}],x1:[o.XCoordinateSpec,{field:\"x1\"}],y1:[o.YCoordinateSpec,{field:\"y1\"}]}))),this.mixins(h.LineVector)}}s.Segment=l,l.__name__=\"Segment\",l.init_Segment()},\n", - " function _(t,e,s,i,n){i();const _=t(1),l=t(64),o=_.__importStar(t(48)),a=t(308);class c extends l.XYGlyphView{_set_data(){const{tension:t,closed:e}=this.model;[this._xt,this._yt]=a.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;this.visuals.line.set_value(t);const _=i.length;for(let e=0;e<_;e++)0!=e?isNaN(i[e])||isNaN(n[e])?(t.stroke(),t.beginPath()):t.lineTo(i[e],n[e]):(t.beginPath(),t.moveTo(i[e],n[e]));t.stroke()}}s.SplineView=c,c.__name__=\"SplineView\";class h extends l.XYGlyph{constructor(t){super(t)}static init_Spline(){this.prototype.default_view=c,this.mixins(o.LineScalar),this.define((({Boolean:t,Number:e})=>({tension:[e,.5],closed:[t,!1]})))}}s.Spline=h,h.__name__=\"Spline\",h.init_Spline()},\n", - " function _(n,t,e,o,s){o();const c=n(24),l=n(11);e.catmullrom_spline=function(n,t,e=10,o=.5,s=!1){l.assert(n.length==t.length);const r=n.length,f=s?r+1:r,w=c.infer_type(n,t),i=new w(f+2),u=new w(f+2);i.set(n,1),u.set(t,1),s?(i[0]=n[r-1],u[0]=t[r-1],i[f]=n[0],u[f]=t[0],i[f+1]=n[1],u[f+1]=t[1]):(i[0]=n[0],u[0]=t[0],i[f+1]=n[r-1],u[f+1]=t[r-1]);const g=new w(4*(e+1));for(let n=0,t=0;n<=e;n++){const o=n/e,s=o**2,c=o*s;g[t++]=2*c-3*s+1,g[t++]=-2*c+3*s,g[t++]=c-2*s+o,g[t++]=c-s}const h=new w((f-1)*(e+1)),_=new w((f-1)*(e+1));for(let n=1,t=0;n1&&(e.stroke(),o=!1)}o?(e.lineTo(t,a),e.lineTo(r,_)):(e.beginPath(),e.moveTo(n[i],s[i]),o=!0),l=i}e.lineTo(n[r-1],s[r-1]),e.stroke()}}draw_legend_for_index(e,t,i){r.generic_line_scalar_legend(this.visuals,e,t)}}i.StepView=c,c.__name__=\"StepView\";class d extends l.XYGlyph{constructor(e){super(e)}static init_Step(){this.prototype.default_view=c,this.mixins(a.LineScalar),this.define((()=>({mode:[_.StepMode,\"before\"]})))}}i.Step=d,d.__name__=\"Step\",d.init_Step()},\n", - " function _(t,e,s,i,n){i();const o=t(1),_=t(64),h=t(48),l=o.__importStar(t(107)),r=o.__importStar(t(18)),a=t(143),c=t(11),x=t(59);class u extends _.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]=[],c=i[s],x=n[s],u=o.get(s),f=_.get(s),p=h.get(s),g=l.get(s);if(!isNaN(c+x+u+f+p)&&null!=g&&this.visuals.text.doit){const i=`${g}`;t.save(),t.translate(c+u,x+f),t.rotate(p),this.visuals.text.set_vectorize(t,s);const n=this.visuals.text.font_value(s),{height:o}=a.font_metrics(n),_=this.text_line_height.get(s)*o;if(-1==i.indexOf(\"\\n\")){t.fillText(i,0,0);const s=c+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=c+u,n=l+x+f,o=t.measureText(s).width,[h,a]=this._text_bounds(i,n,o,_);e.push(h),r.push(a),l+=_}}t.restore()}}}_hit_point(t){const{sx:e,sy:s}=t,i=[];for(let t=0;t({text:[r.NullStringSpec,{field:\"text\"}],angle:[r.AngleSpec,0],x_offset:[r.NumberSpec,0],y_offset:[r.NumberSpec,0]})))}}s.Text=f,f.__name__=\"Text\",f.init_Text()},\n", - " function _(t,s,e,i,r){i();const h=t(1),o=t(290),a=t(24),n=h.__importStar(t(18));class _ extends o.BoxView{scenterxy(t){return[this.sx[t],(this.stop[t]+this.sbottom[t])/2]}_lrtb(t){const s=this.width.get(t)/2,e=this._x[t],i=this._top[t],r=this._bottom[t];return[e-s,e+s,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 a.ScreenArray(t),this.sright=new a.ScreenArray(t);for(let s=0;s({x:[n.XCoordinateSpec,{field:\"x\"}],bottom:[n.YCoordinateSpec,{value:0}],width:[n.NumberSpec,{value:1}],top:[n.YCoordinateSpec,{field:\"top\"}]})))}}e.VBar=c,c.__name__=\"VBar\",c.init_VBar()},\n", - " function _(e,t,s,i,n){i();const r=e(1),a=e(64),l=e(106),c=e(48),d=e(24),h=e(20),o=r.__importStar(e(18)),_=e(10),u=e(59);class g extends a.XYGlyphView{_map_data(){\"data\"==this.model.properties.radius.units?this.sradius=this.sdist(this.renderer.xscale,this._x,this.radius):this.sradius=d.to_screen(this.radius)}_render(e,t,s){const{sx:i,sy:n,sradius:r,start_angle:a,end_angle:l}=null!=s?s:this,c=\"anticlock\"==this.model.direction;for(const s of t){const t=i[s],d=n[s],h=r[s],o=a.get(s),_=l.get(s);isNaN(t+d+h+o+_)||(e.beginPath(),e.arc(t,d,h,o,_,c),e.lineTo(t,d),e.closePath(),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(e,s),e.fill()),this.visuals.hatch.doit&&(this.visuals.hatch.set_vectorize(e,s),e.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,s),e.stroke()))}}_hit_point(e){let t,s,i,n,r,a,l,c,d;const{sx:h,sy:o}=e,g=this.renderer.xscale.invert(h),p=this.renderer.yscale.invert(o),x=2*this.max_radius;\"data\"===this.model.properties.radius.units?(a=g-x,l=g+x,c=p-x,d=p+x):(s=h-x,i=h+x,[a,l]=this.renderer.xscale.r_invert(s,i),n=o-x,r=o+x,[c,d]=this.renderer.yscale.r_invert(n,r));const f=[];for(const e of this.index.indices({x0:a,x1:l,y0:c,y1:d})){const a=this.sradius[e]**2;[s,i]=this.renderer.xscale.r_compute(g,this._x[e]),[n,r]=this.renderer.yscale.r_compute(p,this._y[e]),t=(s-i)**2+(n-r)**2,t<=a&&f.push(e)}const v=\"anticlock\"==this.model.direction,y=[];for(const e of f){const t=Math.atan2(o-this.sy[e],h-this.sx[e]);_.angle_between(-t,-this.start_angle.get(e),-this.end_angle.get(e),v)&&y.push(e)}return new u.Selection({indices:y})}draw_legend_for_index(e,t,s){l.generic_area_vector_legend(this.visuals,e,t,s)}scenterxy(e){const t=this.sradius[e]/2,s=(this.start_angle.get(e)+this.end_angle.get(e))/2;return[this.sx[e]+t*Math.cos(s),this.sy[e]+t*Math.sin(s)]}}s.WedgeView=g,g.__name__=\"WedgeView\";class p extends a.XYGlyph{constructor(e){super(e)}static init_Wedge(){this.prototype.default_view=g,this.mixins([c.LineVector,c.FillVector,c.HatchVector]),this.define((({})=>({direction:[h.Direction,\"anticlock\"],radius:[o.DistanceSpec,{field:\"radius\"}],start_angle:[o.AngleSpec,{field:\"start_angle\"}],end_angle:[o.AngleSpec,{field:\"end_angle\"}]})))}}s.Wedge=p,p.__name__=\"Wedge\",p.init_Wedge()},\n", - " function _(t,_,r,o,a){o();const e=t(1);e.__exportStar(t(126),r),e.__exportStar(t(125),r),e.__exportStar(t(314),r)},\n", - " function _(t,a,o,r,e){r();const n=t(125);class l extends n.LayoutProvider{constructor(t){super(t)}static init_StaticLayoutProvider(){this.define((({Number:t,Tuple:a,Dict:o})=>({graph_layout:[o(a(t,t)),{}]})))}get_node_coordinates(t){var a;const o=null!==(a=t.data.index)&&void 0!==a?a:[],r=o.length,e=new Float64Array(r),n=new Float64Array(r);for(let t=0;tthis.request_render()))}_draw_regions(i){if(!this.visuals.band_fill.doit&&!this.visuals.band_hatch.doit)return;const[e,t]=this.grid_coords(\"major\",!1);for(let s=0;st[1]&&(n=t[1]);else{[s,n]=t;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,n]=i.computed_bounds)}return[s,n]}grid_coords(i,e=!0){const t=this.model.dimension,s=(t+1)%2,[n,r]=this.ranges();let[o,d]=this.computed_bounds();[o,d]=[Math.min(o,d),Math.max(o,d)];const l=[[],[]],_=this.model.get_ticker();if(null==_)return l;const a=_.get_ticks(o,d,n,r.min)[i],h=n.min,u=n.max,c=r.min,m=r.max;e||(a[0]!=h&&a.splice(0,0,h),a[a.length-1]!=u&&a.push(u));for(let i=0;i({bounds:[r(n(i,i),e),\"auto\"],dimension:[t(0,1),0],axis:[d(s(o.Axis)),null],ticker:[d(s(l.Ticker)),null]}))),this.override({level:\"underlay\",band_fill_color:null,band_fill_alpha:0,grid_line_color:\"#e5e5e5\",minor_grid_line_color:null})}get_ticker(){return null!=this.ticker?this.ticker:null!=this.axis?this.axis.ticker:null}}t.Grid=u,u.__name__=\"Grid\",u.init_Grid()},\n", - " function _(o,a,x,B,e){B(),e(\"Box\",o(318).Box),e(\"Column\",o(320).Column),e(\"GridBox\",o(321).GridBox),e(\"HTMLBox\",o(322).HTMLBox),e(\"LayoutDOM\",o(319).LayoutDOM),e(\"Panel\",o(323).Panel),e(\"Row\",o(324).Row),e(\"Spacer\",o(325).Spacer),e(\"Tabs\",o(326).Tabs),e(\"WidgetBox\",o(329).WidgetBox)},\n", - " function _(e,n,i,t,s){t();const o=e(319);class c extends o.LayoutDOMView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.children.change,(()=>this.rebuild()))}get child_models(){return this.model.children}}i.BoxView=c,c.__name__=\"BoxView\";class r extends o.LayoutDOM{constructor(e){super(e)}static init_Box(){this.define((({Number:e,Array:n,Ref:i})=>({children:[n(i(o.LayoutDOM)),[]],spacing:[e,0]})))}}i.Box=r,r.__name__=\"Box\",r.init_Box()},\n", - " function _(t,i,e,s,o){s();const l=t(53),n=t(20),h=t(43),a=t(19),r=t(8),_=t(22),d=t(122),c=t(240),u=t(221),m=t(44),p=t(249);class g extends c.DOMView{constructor(){super(...arguments),this._idle_notified=!1,this._offset_parent=null,this._viewport={}}initialize(){super.initialize(),this.el.style.position=this.is_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_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 d.build_views(this._child_views,this.child_models,{parent:this})}render(){super.render(),h.empty(this.el);const{background:t}=this.model;this.el.style.backgroundColor=null!=t?_.color2css(t):\"\",h.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_root?this.layout.sizing.margin:void 0;h.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()}build(){return this.assert_root(),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(),a.logger.debug(`layout computed in ${Date.now()-t} ms`),this.notify_finished()}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}notify_finished(){this.is_root?!this._idle_notified&&this.has_finished()&&null!=this.model.document&&(this._idle_notified=!0,this.model.document.notify_idle(this.model)):this.root.notify_finished()}_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:_,max_height:d}=this.model;null!=_&&(o.max_width=_),null!=d&&(o.max_height=d),\"auto\"==e&&null!=h&&null!=a?o.aspect=h/a:r.isNumber(e)&&(o.aspect=e);const{margin:c}=this.model;if(null!=c)if(r.isNumber(c))o.margin={top:c,right:c,bottom:c,left:c};else if(2==c.length){const[t,i]=c;o.margin={top:t,right:i,bottom:t,left:i}}else{const[t,i,e,s]=c;o.margin={top:t,right:i,bottom:e,left:s}}o.visible=this.model.visible;const{align:u}=this.model;return r.isArray(u)?[o.halign,o.valign]=u:o.halign=o.valign=u,o}_viewport_size(){return h.undisplayed(this.el,(()=>{let t=this.el;for(;t=t.parentElement;){if(t.classList.contains(m.root))continue;if(t==document.body){const{margin:{left:t,right:i,top:e,bottom:s}}=h.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}}=h.extents(t),{width:l,height:n}=t.getBoundingClientRect();let a=0;for(const i of t.children){const{height:t}=i.getBoundingClientRect(),{margin:{top:e,bottom:s}}=h.extents(i);a+=t+e+s}const r=Math.ceil(l-i-e),_=Math.ceil(n-s-o-a);if(r>0||_>0)return{width:r>0?r:void 0,height:_>0?_:void 0}}return{}}))}export(t,i=!0){const e=\"png\"==t?\"canvas\":\"svg\",s=new p.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=g,g.__name__=\"LayoutDOMView\";class f extends l.Model{constructor(t){super(t)}static init_LayoutDOM(){this.define((t=>{const{Boolean:i,Number:e,String:s,Auto:o,Color:l,Array:h,Tuple:a,Or:r,Null:_,Nullable:d}=t,c=a(e,e),m=a(e,e,e,e);return{width:[d(e),null],height:[d(e),null],min_width:[d(e),null],min_height:[d(e),null],max_width:[d(e),null],max_height:[d(e),null],margin:[d(r(e,c,m)),[0,0,0,0]],width_policy:[r(u.SizingPolicy,o),\"auto\"],height_policy:[r(u.SizingPolicy,o),\"auto\"],aspect_ratio:[r(e,o,_),null],sizing_mode:[d(n.SizingMode),null],visible:[i,!0],disabled:[i,!1],align:[r(n.Align,a(n.Align,n.Align)),\"start\"],background:[d(l),null],css_classes:[h(s),[]]}}))}}e.LayoutDOM=f,f.__name__=\"LayoutDOM\",f.init_LayoutDOM()},\n", - " function _(t,s,i,o,n){o();const e=t(318),l=t(223);class u extends e.BoxView{_update_layout(){const t=this.child_views.map((t=>t.layout));this.layout=new l.Column(t),this.layout.rows=this.model.rows,this.layout.spacing=[this.model.spacing,0],this.layout.set_sizing(this.box_sizing())}}i.ColumnView=u,u.__name__=\"ColumnView\";class a extends e.Box{constructor(t){super(t)}static init_Column(){this.prototype.default_view=u,this.define((({Any:t})=>({rows:[t,\"auto\"]})))}}i.Column=a,a.__name__=\"Column\",a.init_Column()},\n", - " function _(t,s,i,o,e){o();const n=t(319),l=t(223);class a extends n.LayoutDOMView{connect_signals(){super.connect_signals();const{children:t,rows:s,cols:i,spacing:o}=this.model.properties;this.on_change([t,s,i,o],(()=>this.rebuild()))}get child_models(){return this.model.children.map((([t])=>t))}_update_layout(){this.layout=new l.Grid,this.layout.rows=this.model.rows,this.layout.cols=this.model.cols,this.layout.spacing=this.model.spacing;for(const[t,s,i,o,e]of this.model.children){const n=this._child_views.get(t);this.layout.items.push({layout:n.layout,row:s,col:i,row_span:o,col_span:e})}this.layout.set_sizing(this.box_sizing())}}i.GridBoxView=a,a.__name__=\"GridBoxView\";class r extends n.LayoutDOM{constructor(t){super(t)}static init_GridBox(){this.prototype.default_view=a,this.define((({Any:t,Int:s,Number:i,Tuple:o,Array:e,Ref:l,Or:a,Opt:r})=>({children:[e(o(l(n.LayoutDOM),s,s,r(s),r(s))),[]],rows:[t,\"auto\"],cols:[t,\"auto\"],spacing:[a(i,o(i,i)),0]})))}}i.GridBox=r,r.__name__=\"GridBox\",r.init_GridBox()},\n", - " function _(t,e,o,s,n){s();const _=t(319),i=t(221);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,t,i,l){i();const a=e(53),o=e(319);class s extends a.Model{constructor(e){super(e)}static init_Panel(){this.define((({Boolean:e,String:n,Ref:t})=>({title:[n,\"\"],child:[t(o.LayoutDOM)],closable:[e,!1]})))}}t.Panel=s,s.__name__=\"Panel\",s.init_Panel()},\n", - " function _(t,s,i,o,e){o();const n=t(318),a=t(223);class _ extends n.BoxView{_update_layout(){const t=this.child_views.map((t=>t.layout));this.layout=new a.Row(t),this.layout.cols=this.model.cols,this.layout.spacing=[0,this.model.spacing],this.layout.set_sizing(this.box_sizing())}}i.RowView=_,_.__name__=\"RowView\";class l extends n.Box{constructor(t){super(t)}static init_Row(){this.prototype.default_view=_,this.define((({Any:t})=>({cols:[t,\"auto\"]})))}}i.Row=l,l.__name__=\"Row\",l.init_Row()},\n", - " function _(t,e,a,i,s){i();const _=t(319),c=t(221);class n extends _.LayoutDOMView{get child_models(){return[]}_update_layout(){this.layout=new c.LayoutItem,this.layout.set_sizing(this.box_sizing())}}a.SpacerView=n,n.__name__=\"SpacerView\";class o extends _.LayoutDOM{constructor(t){super(t)}static init_Spacer(){this.prototype.default_view=n}}a.Spacer=o,o.__name__=\"Spacer\",o.init_Spacer()},\n", - " function _(e,t,s,i,a){i();const l=e(1),h=e(221),o=e(43),c=e(9),d=e(20),r=e(319),n=e(323),_=l.__importStar(e(327)),p=_,b=l.__importStar(e(328)),u=b,m=l.__importStar(e(243)),v=m;class g extends r.LayoutDOMView{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(),b.default,m.default,_.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 h.ContentBox{_measure(e){const a=o.size(s),l=o.children(i).slice(0,3).map((e=>o.size(e))),{width:h,height:d}=super._measure(e);if(t){const t=a.width+c.sum(l.map((e=>e.width)));return{width:e.width!=1/0?e.width:t,height:d}}{const t=a.height+c.sum(l.map((e=>e.height)));return{width:h,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 a=1,l=1;switch(e){case\"above\":a-=1;break;case\"below\":a+=1;break;case\"left\":l-=1;break;case\"right\":l+=1}const d={layout:this.header,row:a,col:l},r=this.child_views.map((e=>({layout:e.layout,row:1,col:1})));this.layout=new h.Grid([d,...r]),this.layout.set_sizing(this.box_sizing())}update_position(){super.update_position(),this.header_el.style.position=\"absolute\",o.position(this.header_el,this.header.bbox);const e=this.model.tabs_location,t=\"above\"==e||\"below\"==e,s=o.size(this.scroll_el),i=o.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\",o.display(this.scroll_el)):(this.wrapper_el.style.maxWidth=\"\",o.undisplay(this.scroll_el))}else{const{height:e}=this.header.bbox;i.height>e?(this.wrapper_el.style.maxHeight=e-s.height+\"px\",o.display(this.scroll_el)):(this.wrapper_el.style.maxHeight=\"\",o.undisplay(this.scroll_el))}const{child_views:a}=this;for(const e of a)o.hide(e.el);const l=a[this.model.active];null!=l&&o.show(l.el)}render(){super.render();const{active:e}=this.model,t=this.model.tabs_location,s=\"above\"==t||\"below\"==t,i=this.model.tabs.map(((t,s)=>{const i=o.div({class:[p.tab,s==e?p.active:null]},t.title);if(i.addEventListener(\"click\",(e=>{e.target==e.currentTarget&&this.change_active(s)})),t.closable){const e=o.div({class:p.close});e.addEventListener(\"click\",(e=>{if(e.target==e.currentTarget){this.model.tabs=c.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 i}));this.headers_el=o.div({class:[p.headers]},i),this.wrapper_el=o.div({class:p.headers_wrapper},this.headers_el);const a=o.div({class:[u.btn,u.btn_default],disabled:\"\"},o.div({class:[v.caret,p.left]})),l=o.div({class:[u.btn,u.btn_default]},o.div({class:[v.caret,p.right]}));let h=0;const d=e=>()=>{const t=this.model.tabs.length;h=\"left\"==e?Math.max(h-1,0):Math.min(h+1,t-1),0==h?a.setAttribute(\"disabled\",\"\"):a.removeAttribute(\"disabled\"),h==t-1?l.setAttribute(\"disabled\",\"\"):l.removeAttribute(\"disabled\");const i=o.children(this.headers_el).slice(0,h).map((e=>e.getBoundingClientRect()));if(s){const e=-c.sum(i.map((e=>e.width)));this.headers_el.style.left=`${e}px`}else{const e=-c.sum(i.map((e=>e.height)));this.headers_el.style.top=`${e}px`}};a.addEventListener(\"click\",d(\"left\")),l.addEventListener(\"click\",d(\"right\")),this.scroll_el=o.div({class:u.btn_group},a,l),this.header_el=o.div({class:[p.tabs_header,p[t]]},this.scroll_el,this.wrapper_el),this.el.appendChild(this.header_el)}change_active(e){e!=this.model.active&&(this.model.active=e)}on_active_change(){const e=this.model.active,t=o.children(this.headers_el);for(const e of t)e.classList.remove(p.active);t[e].classList.add(p.active);const{child_views:s}=this;for(const e of s)o.hide(e.el);o.show(s[e].el)}}s.TabsView=g,g.__name__=\"TabsView\";class w extends r.LayoutDOM{constructor(e){super(e)}static init_Tabs(){this.prototype.default_view=g,this.define((({Int:e,Array:t,Ref:s})=>({tabs:[t(s(n.Panel)),[]],tabs_location:[d.Location,\"above\"],active:[e,0]})))}}s.Tabs=w,w.__name__=\"Tabs\",w.init_Tabs()},\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.default='.bk-root .bk-tabs-header{display:flex;display:-webkit-flex;flex-wrap:nowrap;-webkit-flex-wrap:nowrap;align-items:center;-webkit-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;-webkit-flex-grow:0;height:auto;padding:4px 4px;}.bk-root .bk-tabs-header .bk-headers-wrapper{flex-grow:1;-webkit-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;-webkit-flex-direction:row;}.bk-root .bk-tabs-header.bk-above .bk-headers,.bk-root .bk-tabs-header.bk-below .bk-headers{flex-direction:row;-webkit-flex-direction:row;}.bk-root .bk-tabs-header.bk-left,.bk-root .bk-tabs-header.bk-right{flex-direction:column;-webkit-flex-direction:column;}.bk-root .bk-tabs-header.bk-left .bk-headers,.bk-root .bk-tabs-header.bk-right .bk-headers{flex-direction:column;-webkit-flex-direction:column;}.bk-root .bk-tabs-header .bk-headers{position:relative;display:flex;display:-webkit-flex;flex-wrap:nowrap;-webkit-flex-wrap:nowrap;align-items:center;-webkit-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-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.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;display:-webkit-flex;flex-wrap:nowrap;-webkit-flex-wrap:nowrap;align-items:center;-webkit-align-items:center;flex-direction:row;-webkit-flex-direction:row;}.bk-root .bk-btn-group > .bk-btn{flex-grow:1;-webkit-flex-grow:1;}.bk-root .bk-btn-group > .bk-btn + .bk-btn{margin-left:-1px;}.bk-root .bk-btn-group > .bk-btn:first-child:not(:last-child){border-bottom-right-radius:0;border-top-right-radius:0;}.bk-root .bk-btn-group > .bk-btn:not(:first-child):last-child{border-bottom-left-radius:0;border-top-left-radius:0;}.bk-root .bk-btn-group > .bk-btn:not(:first-child):not(:last-child){border-radius:0;}.bk-root .bk-btn-group .bk-dropdown-toggle{flex:0 0 0;-webkit-flex:0 0 0;padding:6px 6px;}\"},\n", - " function _(t,e,i,o,n){o();const _=t(320);class s extends _.ColumnView{}i.WidgetBoxView=s,s.__name__=\"WidgetBoxView\";class d extends _.Column{constructor(t){super(t)}static init_WidgetBox(){this.prototype.default_view=s}}i.WidgetBox=d,d.__name__=\"WidgetBox\",d.init_WidgetBox()},\n", - " function _(p,o,t,a,n){a(),n(\"MapOptions\",p(331).MapOptions),n(\"GMapOptions\",p(331).GMapOptions),n(\"GMapPlot\",p(331).GMapPlot),n(\"Plot\",p(332).Plot)},\n", - " function _(t,i,n,e,a){e();const s=t(332),o=t(53),p=t(156),_=t(337);a(\"GMapPlotView\",_.GMapPlotView);class l extends o.Model{constructor(t){super(t)}static init_MapOptions(){this.define((({Int:t,Number:i})=>({lat:[i],lng:[i],zoom:[t,12]})))}}n.MapOptions=l,l.__name__=\"MapOptions\",l.init_MapOptions();class r extends l{constructor(t){super(t)}static init_GMapOptions(){this.define((({Boolean:t,Int:i,String:n})=>({map_type:[n,\"roadmap\"],scale_control:[t,!1],styles:[n],tilt:[i,45]})))}}n.GMapOptions=r,r.__name__=\"GMapOptions\",r.init_GMapOptions();class c extends s.Plot{constructor(t){super(t),this.use_map=!0}static init_GMapPlot(){this.prototype.default_view=_.GMapPlotView,this.define((({String:t,Ref:i})=>({map_options:[i(r)],api_key:[t],api_version:[t,\"3.43\"]}))),this.override({x_range:()=>new p.Range1d,y_range:()=>new p.Range1d})}}n.GMapPlot=c,c.__name__=\"GMapPlot\",c.init_GMapPlot()},\n", - " function _(e,t,i,n,r){n();const o=e(1),a=o.__importStar(e(48)),s=o.__importStar(e(18)),l=e(15),_=e(20),h=e(9),c=e(13),d=e(8),u=e(319),g=e(163),p=e(316),f=e(40),b=e(138),w=e(218),m=e(235),y=e(105),v=e(146),x=e(130),A=e(41),R=e(62),S=e(61),P=e(159),D=e(333);r(\"PlotView\",D.PlotView);class L extends u.LayoutDOM{constructor(e){super(e),this.use_map=!1}static init_Plot(){this.prototype.default_view=D.PlotView,this.mixins([[\"outline_\",a.Line],[\"background_\",a.Fill],[\"border_\",a.Fill]]),this.define((({Boolean:e,Number:t,String:i,Array:n,Dict:r,Or:o,Ref:a,Null:l,Nullable:h})=>({toolbar:[a(m.Toolbar),()=>new m.Toolbar],toolbar_location:[h(_.Location),\"right\"],toolbar_sticky:[e,!0],plot_width:[s.Alias(\"width\")],plot_height:[s.Alias(\"height\")],frame_width:[h(t),null],frame_height:[h(t),null],title:[o(a(b.Title),i,l),()=>new b.Title({text:\"\"})],title_location:[h(_.Location),\"above\"],above:[n(o(a(f.Annotation),a(g.Axis))),[]],below:[n(o(a(f.Annotation),a(g.Axis))),[]],left:[n(o(a(f.Annotation),a(g.Axis))),[]],right:[n(o(a(f.Annotation),a(g.Axis))),[]],center:[n(o(a(f.Annotation),a(p.Grid))),[]],renderers:[n(a(A.Renderer)),[]],x_range:[a(y.Range),()=>new P.DataRange1d],extra_x_ranges:[r(a(y.Range)),{}],y_range:[a(y.Range),()=>new P.DataRange1d],extra_y_ranges:[r(a(y.Range)),{}],x_scale:[a(v.Scale),()=>new w.LinearScale],y_scale:[a(v.Scale),()=>new w.LinearScale],lod_factor:[t,10],lod_interval:[t,300],lod_threshold:[h(t),2e3],lod_timeout:[t,500],hidpi:[e,!0],output_backend:[_.OutputBackend,\"canvas\"],min_border:[h(t),5],min_border_top:[h(t),null],min_border_left:[h(t),null],min_border_bottom:[h(t),null],min_border_right:[h(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:[_.ResetPolicy,\"standard\"]}))),this.override({width:600,height:600,outline_line_color:\"#e5e5e5\",border_fill_color:\"#ffffff\",background_fill_color:\"#ffffff\"})}_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 l.Signal0(this,\"reset\");for(const e of c.values(this.extra_x_ranges).concat(this.x_range)){let t=e.plots;d.isArray(t)&&(t=t.concat(this),e.setv({plots:t},{silent:!0}))}for(const e of c.values(this.extra_y_ranges).concat(this.y_range)){let t=e.plots;d.isArray(t)&&(t=t.concat(this),e.setv({plots:t},{silent:!0}))}}add_layout(e,t=\"center\"){const i=this.properties[t].get_value();this.setv({[t]:[...i,e]})}remove_layout(e){const t=t=>{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 x.ColumnDataSource,i={}){const n=new S.GlyphRenderer(Object.assign(Object.assign({},i),{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:i,right:n}=this;return h.concat([e,t,i,n])}}i.Plot=L,L.__name__=\"Plot\",L.init_Plot()},\n", - " function _(e,t,i,s,a){s();const n=e(1),o=e(144),l=e(262),r=e(319),_=e(40),h=e(138),d=e(163),u=e(234),c=e(264),p=e(122),v=e(45),b=e(19),g=e(334),m=e(8),w=e(9),y=e(249),f=e(222),x=e(225),z=e(223),k=e(140),q=e(99),M=e(335),V=e(336),P=e(28);class R extends r.LayoutDOMView{constructor(){super(...arguments),this._outer_bbox=new q.BBox,this._inner_bbox=new q.BBox,this._needs_paint=!0,this._needs_layout=!1,this._invalidated_painters=new Set,this._invalidate_all=!0}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\")}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(m.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(){p.remove_views(this.renderer_views),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._range_manager=new M.RangeManager(this),this._state_manager=new V.StateManager(this,this._initial_state),this.throttled_paint=g.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 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),b.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 x.BorderLayout,this.layout.set_sizing(this.box_sizing());const n=w.copy(this.model.above),o=w.copy(this.model.below),l=w.copy(this.model.left),r=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:b}=this.model;if(null!=v&&null!=b){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 k.Panel(e),null===(i=s.update_layout)||void 0===i||i.call(s),s.layout},y=(e,t)=>{const i=\"above\"==e||\"below\"==e,s=[];for(const a of t)if(m.isArray(a)){const t=a.map((t=>{const s=g(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 z.Row(t),n.set_sizing({width_policy:\"max\",height_policy:\"min\"})):(n=new z.Column(t),n.set_sizing({width_policy:\"min\",height_policy:\"max\"})),n.absolute=!0,s.push(n)}else s.push(g(e,a));return s},q=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:q,top:null!==(i=this.model.min_border_top)&&void 0!==i?i:q,right:null!==(s=this.model.min_border_right)&&void 0!==s?s:q,bottom:null!==(a=this.model.min_border_bottom)&&void 0!==a?a:q};const M=new f.NodeLayout,V=new f.VStack,P=new f.VStack,R=new f.HStack,O=new f.HStack;M.absolute=!0,V.absolute=!0,P.absolute=!0,R.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:S,frame_height:j}=this.model;M.set_sizing(Object.assign(Object.assign({},null!=S?{width_policy:\"fixed\",width:S}:{width_policy:\"fit\"}),null!=j?{height_policy:\"fixed\",height:j}:{height_policy:\"fit\"})),M.on_resize((e=>this.frame.set_geometry(e))),V.children=w.reversed(y(\"above\",n)),P.children=y(\"below\",o),R.children=w.reversed(y(\"left\",l)),O.children=y(\"right\",r),V.set_sizing({width_policy:\"fit\",height_policy:\"min\"}),P.set_sizing({width_policy:\"fit\",height_policy:\"min\"}),R.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=V,this.layout.bottom_panel=P,this.layout.left_panel=R,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)}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 p.build_views(this.renderer_views,this.computed_renderers,{parent:this})}async build_tool_views(){const e=this.model.toolbar.tools;(await 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(){var e;if(this.is_paused||!this.model.visible)return;b.logger.trace(`PlotView.paint() for ${this.model.id}`);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||P.settings.wireframe)&&(o.prepare(),this._paint_levels(o.ctx,\"overlay\",a,!1),P.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 y.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=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=R,R.__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,s,a){s();const o=t(159),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:s}=this.frame;if(null==t){for(const[,t]of e)t.reset();for(const[,t]of s)t.reset();this.update_dataranges()}else{const a=[];for(const[n,s]of e)a.push([s,t.xrs.get(n)]);for(const[n,e]of s)a.push([e,t.yrs.get(n)]);(null==n?void 0:n.scrolling)&&this._update_ranges_together(a),this._update_ranges_individually(a,n)}}reset(){this.update(null)}update_dataranges(){const t=new Map,n=new Map;let e=!1;for(const[,t]of this.frame.x_ranges)t instanceof o.DataRange1d&&\"log\"==t.scale_hint&&(e=!0);for(const[,t]of this.frame.y_ranges)t instanceof o.DataRange1d&&\"log\"==t.scale_hint&&(e=!0);for(const s of this.parent.model.data_renderers){const a=this.parent.renderer_view(s);if(null==a)continue;const o=a.glyph_view.bounds();if(null!=o&&t.set(s,o),e){const t=a.glyph_view.log_bounds();null!=t&&n.set(s,t)}}let s=!1,a=!1;const{width:l,height:i}=this.frame.bbox;let d;!1!==this.parent.model.match_aspect&&0!=l&&0!=i&&(d=1/this.parent.model.aspect_scale*(l/i));for(const[,e]of this.frame.x_ranges){if(e instanceof o.DataRange1d){const a=\"log\"==e.scale_hint?n:t;e.update(a,0,this.parent.model,d),e.follow&&(s=!0)}null!=e.bounds&&(a=!0)}for(const[,e]of this.frame.y_ranges){if(e instanceof o.DataRange1d){const a=\"log\"==e.scale_hint?n:t;e.update(a,1,this.parent.model,d),e.follow&&(s=!0)}null!=e.bounds&&(a=!0)}if(s&&a){r.logger.warn(\"Follow enabled so bounds are unset.\");for(const[,t]of this.frame.x_ranges)t.bounds=null;for(const[,t]of this.frame.y_ranges)t.bounds=null}this.invalidate_dataranges=!1}compute_initial(){let t=!0;const{x_ranges:n,y_ranges:e}=this.frame,s=new Map,a=new Map;for(const[e,a]of n){const{start:n,end:o}=a;if(null==n||null==o||isNaN(n+o)){t=!1;break}s.set(e,{start:n,end:o})}if(t)for(const[n,s]of e){const{start:e,end:o}=s;if(null==e||null==o||isNaN(e+o)){t=!1;break}a.set(n,{start:e,end:o})}return t?{xrs:s,yrs:a}:(r.logger.warn(\"could not set initial ranges\"),null)}_update_ranges_together(t){let n=1;for(const[e,s]of t)n=Math.min(n,this._get_weight_to_constrain_interval(e,s));if(n<1)for(const[e,s]of t)s.start=n*s.start+(1-n)*e.start,s.end=n*s.end+(1-n)*e.end}_update_ranges_individually(t,n){const e=!!(null==n?void 0:n.panning),s=!!(null==n?void 0:n.scrolling);let a=!1;for(const[n,o]of t){if(!s){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&&(a=!0,o.end=t,(e||s)&&(o.start=t+l)),null!=r&&r<=o.start&&(a=!0,o.start=r,(e||s)&&(o.end=r-l))):(null!=t&&t>=o.start&&(a=!0,o.start=t,(e||s)&&(o.end=t+l)),null!=r&&r<=o.end&&(a=!0,o.end=r,(e||s)&&(o.start=r-l)))}}if(!(s&&a&&(null==n?void 0:n.maintain_focus)))for(const[n,e]of t)n.have_updated_interactively=!0,n.start==e.start&&n.end==e.end||n.setv(e)}_get_weight_to_constrain_interval(t,n){const{min_interval:e}=t;let{max_interval:s}=t;if(null!=t.bounds&&\"auto\"!=t.bounds){const[n,e]=t.bounds;if(null!=n&&null!=e){const t=Math.abs(e-n);s=null!=s?Math.min(s,t):t}}let a=1;if(null!=e||null!=s){const o=Math.abs(t.end-t.start),r=Math.abs(n.end-n.start);null!=e&&e>0&&r0&&r>s&&(a=(s-o)/(r-o)),a=Math.max(0,Math.min(1,a))}return a}}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;null!=i.range&&this.parent.update_range(i.range),null!=i.selection&&this.parent.update_selection(i.selection)}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(){this.can_undo&&(this.index-=1,this._do_state_change(this.index),this.changed.emit())}redo(){this.can_redo&&(this.index+=1,this._do_state_change(this.index),this.changed.emit())}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(){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(),i=o+s;if(i>=2){this.map.setZoom(i);const[t,e,,]=this._get_projected_bounds();e-t<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=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){const e=this.map.getCenter().toJSON();e[t]=this.model.map_options[t],this.map.setCenter(e),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=_.color2css(this.model.border_fill_color),t.fill())}}s.GMapPlotView=d,d.__name__=\"GMapPlotView\"},\n", - " function _(t,_,n,o,r){o();t(1).__exportStar(t(169),n)},\n", - " function _(e,r,d,n,R){n(),R(\"GlyphRenderer\",e(61).GlyphRenderer),R(\"GraphRenderer\",e(123).GraphRenderer),R(\"GuideRenderer\",e(164).GuideRenderer),R(\"Renderer\",e(41).Renderer)},\n", - " function _(e,t,n,o,c){o();e(1).__exportStar(e(129),n),c(\"Selection\",e(59).Selection)},\n", - " function _(a,e,S,o,r){o(),r(\"ServerSentDataSource\",a(342).ServerSentDataSource),r(\"AjaxDataSource\",a(344).AjaxDataSource),r(\"ColumnDataSource\",a(130).ColumnDataSource),r(\"ColumnarDataSource\",a(57).ColumnarDataSource),r(\"CDSView\",a(120).CDSView),r(\"DataSource\",a(58).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 _(t,e,a,n,s){n();const r=t(130),i=t(20);class l extends r.ColumnDataSource{constructor(t){super(t)}get_column(t){const e=this.data[t];return null!=e?e:[]}get_length(){var t;return null!==(t=super.get_length())&&void 0!==t?t:0}initialize(){super.initialize(),this.setup()}load_data(t,e,a){const{adapter:n}=this;let s;switch(s=null!=n?n.execute(this,{response:t}):t,e){case\"replace\":this.data=s;break;case\"append\":{const t=this.data;for(const e of this.columns()){const n=Array.from(t[e]),r=Array.from(s[e]),i=n.concat(r);s[e]=null!=a?i.slice(-a):i}this.data=s;break}}}static init_WebDataSource(){this.define((({Any:t,Int:e,String:a,Nullable:n})=>({max_size:[n(e),null],mode:[i.UpdateMode,\"replace\"],adapter:[n(t),null],data_url:[a]})))}}a.WebDataSource=l,l.__name__=\"WebDataSource\",l.init_WebDataSource()},\n", - " function _(t,e,i,s,a){s();const n=t(343),r=t(20),o=t(19),l=t(13);class d extends n.WebDataSource{constructor(t){super(t),this.interval=null,this.initialized=!1}static init_AjaxDataSource(){this.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:[r.HTTPMethod,\"POST\"],if_modified:[t,!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 l.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){o.logger.error(`Failed to fetch JSON from ${this.data_url} with code ${t.status}`)}}i.AjaxDataSource=d,d.__name__=\"AjaxDataSource\",d.init_AjaxDataSource()},\n", - " function _(e,t,o,r,n){r();const s=e(57),a=e(19),i=e(9),l=e(13);function c(e){return null!=e?e:NaN}const{hasOwnProperty:_}=Object.prototype;class g extends s.ColumnarDataSource{constructor(e){super(e)}static init_GeoJSONDataSource(){this.define((({String:e})=>({geojson:[e]}))),this.internal((({Dict:e,Arrayable:t})=>({data:[e(t),{}]})))}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 i.range(0,e).map((e=>[]))}_get_new_nan_array(e){return i.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 l.entries(s))_.call(t,e)||(t[e]=this._get_new_nan_array(r)),t[e][o]=c(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]=c(s);break}case\"LineString\":{const{coordinates:r}=e;for(let e=0;e1&&a.logger.warn(\"Bokeh does not support Polygons with holes in, only exterior ring used.\");const r=e.coordinates[0];for(let e=0;e1&&a.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({use_latlon:[e,!1]})))}get_image_url(e,t,r){const i=this.string_lookup_replace(this.url,this.extra_url_vars);let o,l,n,s;return this.use_latlon?[l,s,o,n]=this.get_tile_geographic_bounds(e,t,r):[l,s,o,n]=this.get_tile_meter_bounds(e,t,r),i.replace(\"{XMIN}\",l.toString()).replace(\"{YMIN}\",s.toString()).replace(\"{XMAX}\",o.toString()).replace(\"{YMAX}\",n.toString())}}r.BBoxTileSource=n,n.__name__=\"BBoxTileSource\",n.init_BBoxTileSource()},\n", - " function _(t,e,i,_,s){_();const r=t(349),o=t(9),n=t(350);class l extends r.TileSource{constructor(t){super(t)}static init_MercatorTileSource(){this.define((({Boolean:t})=>({snap_to_zoom:[t,!1],wrap_around:[t,!0]}))),this.override({x_origin_offset:20037508.34,y_origin_offset:20037508.34,initial_resolution:156543.03392804097})}initialize(){super.initialize(),this._resolutions=o.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=l,l.__name__=\"MercatorTileSource\",l.init_MercatorTileSource()},\n", - " function _(e,t,r,i,n){i();const l=e(53),s=e(13);class a extends l.Model{constructor(e){super(e)}static init_TileSource(){this.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]})))}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 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,s=(n-r)/2+r,a=(l-i)/2+i;e.sort((function(e,t){return Math.sqrt((s-e[0])**2+(a-e[1])**2)-Math.sqrt((s-t[0])**2+(a-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=a,a.__name__=\"TileSource\",a.init_TileSource()},\n", - " function _(t,e,r,n,o){n();const c=t(65);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),a=t(349),h=t(353),r=t(41),o=t(156),l=t(43),d=t(296),m=t(9),c=t(8),p=n.__importStar(t(354));class g extends r.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()))}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&&l.removeElement(this.attribution_el);const{attribution:t}=this.model.tile_source;if(c.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=l.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 o.Range1d&&(this.x_range.reset_start=e[0],this.x_range.reset_end=e[2]),this.y_range instanceof o.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,a,h]=this.model.tile_source.normalize_xyz(t,e,i),r={img:void 0,tile_coords:[t,e,i],normalized_coords:[n,a,h],quadkey:this.model.tile_source.tile_xyz_to_quadkey(t,e,i),cache_key:this.model.tile_source.tile_xyz_to_key(t,e,i),bounds:s,loaded:!1,finished:!1,x_coord:s[0],y_coord:s[3]},o=this.model.tile_source.get_image_url(n,a,h);new d.ImageLoader(o,{loaded:t=>{Object.assign(r,{img:t,loaded:!0}),_?(r.finished=!0,this.notify_finished()):this.request_render()},failed(){r.finished=!0}}),this.model.tile_source.tiles.set(r.cache_key,r),this._tiles.push(r)}_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,h=t,r=i,o=this.map_canvas.getImageSmoothingEnabled();this.map_canvas.setImageSmoothingEnabled(this.model.smoothing),this.map_canvas.drawImage(e.img,h,r,n,a),this.map_canvas.setImageSmoothingEnabled(o),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,h=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 o=t.get_tiles_by_extent(s,h),l=[],d=[],c=[],p=[];for(const e of o){const[i,s,n]=e,a=t.tile_xyz_to_key(i,s,n),h=t.tiles.get(a);if(null!=h&&h.loaded)d.push(a);else if(this.model.render_parents){const[e,a,h]=t.get_closest_parent_by_tile_xyz(i,s,n),r=t.tile_xyz_to_key(e,a,h),o=t.tiles.get(r);if(null!=o&&o.loaded&&!m.includes(c,r)&&c.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)&&p.push(e)}}}null==h&&l.push(e)}this._render_tiles(c),this._render_tiles(p),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 u extends r.Renderer{constructor(t){super(t)}static init_TileRenderer(){this.prototype.default_view=g,this.define((({Boolean:t,Number:e,Ref:i})=>({alpha:[e,1],smoothing:[t,!0],tile_source:[i(a.TileSource),()=>new h.WMTSTileSource],render_parents:[t,!0]}))),this.override({level:\"image\"})}}i.TileRenderer=u,u.__name__=\"TileRenderer\",u.init_TileRenderer()},\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){c();const a=t(358),i=t(34);class r extends a.Texture{constructor(t){super(t)}static init_CanvasTexture(){this.define((({String:t})=>({code:[t]})))}get func(){const t=i.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=r,r.__name__=\"CanvasTexture\",r.init_CanvasTexture()},\n", - " function _(e,t,i,n,r){n();const s=e(53),u=e(20);class o extends s.Model{constructor(e){super(e)}static init_Texture(){this.define((()=>({repetition:[u.TextureRepetition,\"repeat\"]})))}}i.Texture=o,o.__name__=\"Texture\",o.init_Texture()},\n", - " function _(e,t,i,r,n){r();const a=e(358),s=e(296);class u extends a.Texture{constructor(e){super(e)}static init_ImageURLTexture(){this.define((({String:e})=>({url:[e]})))}initialize(){super.initialize(),this._loader=new s.ImageLoader(this.url)}get_pattern(e,t,i){const{_loader:r}=this;return this._loader.finished?r.image:r.promise}}i.ImageURLTexture=u,u.__name__=\"ImageURLTexture\",u.init_ImageURLTexture()},\n", - " function _(o,l,T,e,t){e(),t(\"ActionTool\",o(251).ActionTool),t(\"CustomAction\",o(361).CustomAction),t(\"HelpTool\",o(252).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(238).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(237).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(247).InspectTool),t(\"Tool\",o(236).Tool),t(\"ToolProxy\",o(392).ToolProxy),t(\"Toolbar\",o(235).Toolbar),t(\"ToolbarBase\",o(248).ToolbarBase),t(\"ProxyToolbar\",o(393).ProxyToolbar),t(\"ToolbarBox\",o(393).ToolbarBox)},\n", - " function _(t,o,i,s,n){s();const e=t(251);class c extends e.ActionToolButtonView{css_classes(){return super.css_classes().concat(\"bk-toolbar-button-custom-action\")}}i.CustomActionButtonView=c,c.__name__=\"CustomActionButtonView\";class u extends e.ActionToolView{doit(){var t;null===(t=this.model.callback)||void 0===t||t.execute(this.model)}}i.CustomActionView=u,u.__name__=\"CustomActionView\";class l extends e.ActionTool{constructor(t){super(t),this.tool_name=\"Custom Action\",this.button_view=c}static init_CustomAction(){this.prototype.default_view=u,this.define((({Any:t,String:o,Nullable:i})=>({callback:[i(t)],icon:[o]}))),this.override({description:\"Perform a Custom Action\"})}}i.CustomAction=l,l.__name__=\"CustomAction\",l.init_CustomAction()},\n", - " function _(o,e,t,i,s){i();const n=o(251),d=o(242);class l extends n.ActionToolView{connect_signals(){super.connect_signals(),this.connect(this.plot_view.state.changed,(()=>this.model.disabled=!this.plot_view.state.can_redo))}doit(){this.plot_view.state.redo()}}t.RedoToolView=l,l.__name__=\"RedoToolView\";class _ extends n.ActionTool{constructor(o){super(o),this.tool_name=\"Redo\",this.icon=d.tool_icon_redo}static init_RedoTool(){this.prototype.default_view=l,this.override({disabled:!0}),this.register_alias(\"redo\",(()=>new _))}}t.RedoTool=_,_.__name__=\"RedoTool\",_.init_RedoTool()},\n", - " function _(e,t,o,s,i){s();const _=e(251),n=e(242);class l extends _.ActionToolView{doit(){this.plot_view.reset()}}o.ResetToolView=l,l.__name__=\"ResetToolView\";class c extends _.ActionTool{constructor(e){super(e),this.tool_name=\"Reset\",this.icon=n.tool_icon_reset}static init_ResetTool(){this.prototype.default_view=l,this.register_alias(\"reset\",(()=>new c))}}o.ResetTool=c,c.__name__=\"ResetTool\",c.init_ResetTool()},\n", - " function _(o,e,t,a,i){a();const n=o(251),s=o(242);class c extends n.ActionToolView{async copy(){const o=await this.plot_view.to_blob(),e=new ClipboardItem({[o.type]:o});await navigator.clipboard.write([e])}async save(o){const e=await this.plot_view.to_blob(),t=document.createElement(\"a\");t.href=URL.createObjectURL(e),t.download=o,t.target=\"_blank\",t.dispatchEvent(new MouseEvent(\"click\"))}doit(o=\"save\"){switch(o){case\"save\":this.save(\"bokeh_plot\");break;case\"copy\":this.copy()}}}t.SaveToolView=c,c.__name__=\"SaveToolView\";class l extends n.ActionTool{constructor(o){super(o),this.tool_name=\"Save\",this.icon=s.tool_icon_save}static init_SaveTool(){this.prototype.default_view=c,this.register_alias(\"save\",(()=>new l))}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=l,l.__name__=\"SaveTool\",l.init_SaveTool()},\n", - " function _(o,t,n,i,e){i();const s=o(251),d=o(242);class l extends s.ActionToolView{connect_signals(){super.connect_signals(),this.connect(this.plot_view.state.changed,(()=>this.model.disabled=!this.plot_view.state.can_undo))}doit(){this.plot_view.state.undo()}}n.UndoToolView=l,l.__name__=\"UndoToolView\";class _ extends s.ActionTool{constructor(o){super(o),this.tool_name=\"Undo\",this.icon=d.tool_icon_undo}static init_UndoTool(){this.prototype.default_view=l,this.override({disabled:!0}),this.register_alias(\"undo\",(()=>new _))}}n.UndoTool=_,_.__name__=\"UndoTool\",_.init_UndoTool()},\n", - " function _(o,i,n,s,e){s();const t=o(367),_=o(242);class m extends t.ZoomBaseToolView{}n.ZoomInToolView=m,m.__name__=\"ZoomInToolView\";class l extends t.ZoomBaseTool{constructor(o){super(o),this.sign=1,this.tool_name=\"Zoom In\",this.icon=_.tool_icon_zoom_in}static init_ZoomInTool(){this.prototype.default_view=m,this.register_alias(\"zoom_in\",(()=>new l({dimensions:\"both\"}))),this.register_alias(\"xzoom_in\",(()=>new l({dimensions:\"width\"}))),this.register_alias(\"yzoom_in\",(()=>new l({dimensions:\"height\"})))}}n.ZoomInTool=l,l.__name__=\"ZoomInTool\",l.init_ZoomInTool()},\n", - " function _(o,t,e,i,s){i();const n=o(251),l=o(20),a=o(368);class _ extends n.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=a.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}),null===(o=this.model.document)||void 0===o||o.interactive_start(this.plot_model)}}e.ZoomBaseToolView=_,_.__name__=\"ZoomBaseToolView\";class m extends n.ActionTool{constructor(o){super(o)}static init_ZoomBaseTool(){this.define((({Percent:o})=>({factor:[o,.1],dimensions:[l.Dimensions,\"both\"]})))}get tooltip(){return this._get_dim_tooltip(this.dimensions)}}e.ZoomBaseTool=m,m.__name__=\"ZoomBaseTool\",m.init_ZoomBaseTool()},\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=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,t,i,s,e){s();const n=o(367),_=o(242);class m extends n.ZoomBaseToolView{}i.ZoomOutToolView=m,m.__name__=\"ZoomOutToolView\";class l extends n.ZoomBaseTool{constructor(o){super(o),this.sign=-1,this.tool_name=\"Zoom Out\",this.icon=_.tool_icon_zoom_out}static init_ZoomOutTool(){this.prototype.default_view=m,this.register_alias(\"zoom_out\",(()=>new l({dimensions:\"both\"}))),this.register_alias(\"xzoom_out\",(()=>new l({dimensions:\"width\"}))),this.register_alias(\"yzoom_out\",(()=>new l({dimensions:\"height\"})))}}i.ZoomOutTool=l,l.__name__=\"ZoomOutTool\",l.init_ZoomOutTool()},\n", - " function _(e,t,s,o,n){o();const i=e(9),r=e(8),c=e(11),a=e(61),_=e(237);class l extends _.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 c.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(a.GlyphRenderer)),[]]})))}get computed_icon(){var e;return null!==(e=this.custom_icon)&&void 0!==e?e:this.icon}}s.EditTool=d,d.__name__=\"EditTool\",d.init_EditTool()},\n", - " function _(e,t,s,i,_){i();const o=e(43),n=e(20),a=e(370),d=e(242);class l extends a.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===o.Keys.Backspace)this._delete_selected(t);else if(e.keyCode==o.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],[x,y]=[d.x.field,d.y.field],[w,v]=[d.width.field,d.height.field];if(_)this._pop_glyphs(l,this.model.num_objects),x&&l.get_array(x).push(c),y&&l.get_array(y).push(m),w&&l.get_array(w).push(f),v&&l.get_array(v).push(b),this._pad_empty_columns(l,[x,y,w,v]);else{const e=l.data[x].length-1;x&&(l.data[x][e]=c),y&&(l.data[y][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=l,l.__name__=\"BoxEditToolView\";class r extends a.EditTool{constructor(e){super(e),this.tool_name=\"Box Edit Tool\",this.icon=d.tool_icon_box_edit,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=1}static init_BoxEditTool(){this.prototype.default_view=l,this.define((({Int:e})=>({dimensions:[n.Dimensions,\"both\"],num_objects:[e,0]})))}}s.BoxEditTool=r,r.__name__=\"BoxEditTool\",r.init_BoxEditTool()},\n", - " function _(e,t,a,s,r){s();const _=e(43),i=e(8),o=e(370),d=e(242);class n extends o.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[_,o]=r,d=s.data_source,n=s.glyph,[h,l]=[n.xs.field,n.ys.field];if(\"new\"==t)this._pop_glyphs(d,this.model.num_objects),h&&d.get_array(h).push([_]),l&&d.get_array(l).push([o]),this._pad_empty_columns(d,[h,l]);else if(\"add\"==t){if(h){const e=d.data[h].length-1;let t=d.get_array(h)[e];i.isArray(t)||(t=Array.from(t),d.data[h][e]=t),t.push(_)}if(l){const e=d.data[l].length-1;let t=d.get_array(l)[e];i.isArray(t)||(t=Array.from(t),d.data[l][e]=t),t.push(o)}}this._emit_cds_changes(d,!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===_.Keys.Esc?t.data_source.selection_manager.clear():e.keyCode===_.Keys.Backspace&&this._delete_selected(t)}}a.FreehandDrawToolView=n,n.__name__=\"FreehandDrawToolView\";class h extends o.EditTool{constructor(e){super(e),this.tool_name=\"Freehand Draw Tool\",this.icon=d.tool_icon_freehand_draw,this.event_type=[\"pan\",\"tap\"],this.default_order=3}static init_FreehandDrawTool(){this.prototype.default_view=n,this.define((({Int:e})=>({num_objects:[e,0]}))),this.register_alias(\"freehand_draw\",(()=>new h))}}a.FreehandDrawTool=h,h.__name__=\"FreehandDrawTool\",h.init_FreehandDrawTool()},\n", - " function _(e,t,s,o,i){o();const a=e(43),n=e(370),_=e(242);class r extends n.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,i=t.data_source,[a,n]=[o.x.field,o.y.field],[_,r]=s;this._pop_glyphs(i,this.model.num_objects),a&&i.get_array(a).push(_),n&&i.get_array(n).push(r),this._pad_empty_columns(i,[a,n]),i.change.emit(),i.data=i.data,i.properties.data.change.emit()}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)e.keyCode===a.Keys.Backspace?this._delete_selected(t):e.keyCode==a.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=r,r.__name__=\"PointDrawToolView\";class d extends n.EditTool{constructor(e){super(e),this.tool_name=\"Point Draw Tool\",this.icon=_.tool_icon_point_draw,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=2}static init_PointDrawTool(){this.prototype.default_view=r,this.define((({Boolean:e,Int:t})=>({add:[e,!0],drag:[e,!0],num_objects:[t,0]})))}}s.PointDrawTool=d,d.__name__=\"PointDrawTool\",d.init_PointDrawTool()},\n", - " function _(e,t,s,i,a){i();const o=e(43),r=e(8),n=e(375),_=e(242);class d extends n.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[o,n]=this._snap_to_vertex(e,...a),_=i.data_source,d=i.glyph,[l,h]=[d.xs.field,d.ys.field];if(\"new\"==t)this._pop_glyphs(_,this.model.num_objects),l&&_.get_array(l).push([o,o]),h&&_.get_array(h).push([n,n]),this._pad_empty_columns(_,[l,h]);else if(\"edit\"==t){if(l){const e=_.data[l][_.data[l].length-1];e[e.length-1]=o}if(h){const e=_.data[h][_.data[h].length-1];e[e.length-1]=n}}else if(\"add\"==t){if(l){const e=_.data[l].length-1;let t=_.get_array(l)[e];const s=t[t.length-1];t[t.length-1]=o,r.isArray(t)||(t=Array.from(t),_.data[l][e]=t),t.push(s)}if(h){const e=_.data[h].length-1;let t=_.get_array(h)[e];const s=t[t.length-1];t[t.length-1]=n,r.isArray(t)||(t=Array.from(t),_.data[h][e]=t),t.push(s)}}this._emit_cds_changes(_,!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=d,d.__name__=\"PolyDrawToolView\";class l extends n.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}static init_PolyDrawTool(){this.prototype.default_view=d,this.define((({Boolean:e,Int:t})=>({drag:[e,!0],num_objects:[t,0]})))}}s.PolyDrawTool=l,l.__name__=\"PolyDrawTool\",l.init_PolyDrawTool()},\n", - " function _(e,t,r,o,s){o();const i=e(8),l=e(370);class _ extends l.EditToolView{_set_vertices(e,t){const r=this.model.vertex_renderer.glyph,o=this.model.vertex_renderer.data_source,[s,l]=[r.x.field,r.y.field];s&&(i.isArray(e)?o.data[s]=e:r.x={value:e}),l&&(i.isArray(t)?o.data[l]=t:r.y={value:t}),this._emit_cds_changes(o,!0,!0,!1)}_hide_vertices(){this._set_vertices([],[])}_snap_to_vertex(e,t,r){if(this.model.vertex_renderer){const o=this._select_event(e,\"replace\",[this.model.vertex_renderer]),s=this.model.vertex_renderer.data_source,i=this.model.vertex_renderer.glyph,[l,_]=[i.x.field,i.y.field];if(o.length){const e=s.selected.indices[0];l&&(t=s.data[l][e]),_&&(r=s.data[_][e]),s.selection_manager.clear()}}return[t,r]}}r.PolyToolView=_,_.__name__=\"PolyToolView\";class d extends l.EditTool{constructor(e){super(e)}static init_PolyTool(){this.define((({AnyRef:e})=>({vertex_renderer:[e()]})))}}r.PolyTool=d,d.__name__=\"PolyTool\",d.init_PolyTool()},\n", - " function _(e,t,s,r,i){r();const _=e(43),d=e(8),n=e(375),l=e(242);class a extends n.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 n,l;i&&null!=r?(n=s.data[i][r],d.isArray(n)||(s.data[i][r]=n=Array.from(n))):n=t.xs.value,_&&null!=r?(l=s.data[_][r],d.isArray(l)||(s.data[_][r]=l=Array.from(l))):l=t.ys.value,this._selected_renderer=e,this._set_vertices(n,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===_.Keys.Backspace?(this._delete_selected(s),this._selected_renderer&&this._emit_cds_changes(this._selected_renderer.data_source)):e.keyCode==_.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=a,a.__name__=\"PolyEditToolView\";class c extends n.PolyTool{constructor(e){super(e),this.tool_name=\"Poly Edit Tool\",this.icon=l.tool_icon_poly_edit,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=4}static init_PolyEditTool(){this.prototype.default_view=a}}s.PolyEditTool=c,c.__name__=\"PolyEditTool\",c.init_PolyEditTool()},\n", - " function _(e,t,o,s,i){s();const l=e(378),n=e(136),_=e(20),c=e(242);class h extends l.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=h,h.__name__=\"BoxSelectToolView\";const r=()=>new n.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 a extends l.SelectTool{constructor(e){super(e),this.tool_name=\"Box Select\",this.icon=c.tool_icon_box_select,this.event_type=\"pan\",this.default_order=30}static init_BoxSelectTool(){this.prototype.default_view=h,this.define((({Boolean:e,Ref:t})=>({dimensions:[_.Dimensions,\"both\"],select_every_mousemove:[e,!1],overlay:[t(n.BoxAnnotation),r],origin:[_.BoxOrigin,\"corner\"]}))),this.register_alias(\"box_select\",(()=>new a)),this.register_alias(\"xbox_select\",(()=>new a({dimensions:\"width\"}))),this.register_alias(\"ybox_select\",(()=>new a({dimensions:\"height\"})))}get tooltip(){return this._get_dim_tooltip(this.dimensions)}}o.BoxSelectTool=a,a.__name__=\"BoxSelectTool\",a.init_BoxSelectTool()},\n", - " function _(e,t,s,n,o){n();const r=e(237),c=e(61),i=e(123),l=e(62),a=e(161),_=e(20),d=e(43),h=e(264),p=e(15),u=e(11);class m extends r.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 a.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 c.GlyphRenderer)n=s.data_source;else{if(!(s instanceof i.GraphRenderer))continue;n=s.node_renderer.data_source}const o=null!==(e=t.get(n))&&void 0!==e?e:[];t.set(n,[...o,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 u.unreachable():this.model.mode}_keyup(e){e.keyCode==d.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[,o]of n){const n=o[0].get_selection_manager(),r=[];for(const e of o){const t=this.plot_view.renderer_view(e);null!=t&&r.push(t)}n.select(r,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 o;switch(e.type){case\"point\":{const{sx:t,sy:r}=e,c=s.invert(t),i=n.invert(r);o=Object.assign(Object.assign({},e),{x:c,y:i});break}case\"span\":{const{sx:t,sy:r}=e,c=s.invert(t),i=n.invert(r);o=Object.assign(Object.assign({},e),{x:c,y:i});break}case\"rect\":{const{sx0:t,sx1:r,sy0:c,sy1:i}=e,[l,a]=s.r_invert(t,r),[_,d]=n.r_invert(c,i);o=Object.assign(Object.assign({},e),{x0:l,y0:_,x1:a,y1:d});break}case\"poly\":{const{sx:t,sy:r}=e,c=s.v_invert(t),i=n.v_invert(r);o=Object.assign(Object.assign({},e),{x:c,y:i});break}}this.plot_model.trigger_event(new h.SelectionGeometry(o,t))}}s.SelectToolView=m,m.__name__=\"SelectToolView\";class v extends r.GestureTool{constructor(e){super(e)}initialize(){super.initialize(),this.clear=new p.Signal0(this,\"clear\")}static init_SelectTool(){this.define((({String:e,Array:t,Ref:s,Or:n,Auto:o})=>({renderers:[n(t(s(l.DataRenderer)),o),\"auto\"],names:[t(e),[]],mode:[_.SelectionMode,\"replace\"]})))}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=v,v.__name__=\"SelectTool\",v.init_SelectTool()},\n", - " function _(t,o,e,s,i){s();const n=t(237),_=t(136),a=t(20),l=t(242);class r extends n.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 _.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 c extends n.GestureTool{constructor(t){super(t),this.tool_name=\"Box Zoom\",this.icon=l.tool_icon_box_zoom,this.event_type=\"pan\",this.default_order=20}static init_BoxZoomTool(){this.prototype.default_view=r,this.define((({Boolean:t,Ref:o})=>({dimensions:[a.Dimensions,\"both\"],overlay:[o(_.BoxAnnotation),h],match_aspect:[t,!1],origin:[a.BoxOrigin,\"corner\"]}))),this.register_alias(\"box_zoom\",(()=>new c({dimensions:\"both\"}))),this.register_alias(\"xbox_zoom\",(()=>new c({dimensions:\"width\"}))),this.register_alias(\"ybox_zoom\",(()=>new c({dimensions:\"height\"})))}get tooltip(){return this._get_dim_tooltip(this.dimensions)}}e.BoxZoomTool=c,c.__name__=\"BoxZoomTool\",c.init_BoxZoomTool()},\n", - " function _(s,e,t,o,i){o();const l=s(378),_=s(231),a=s(381),c=s(43),n=s(242);class h extends l.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==c.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 i={type:\"poly\",sx:s,sy:e};this._select(i,t,o)}}t.LassoSelectToolView=h,h.__name__=\"LassoSelectToolView\";class r extends l.SelectTool{constructor(s){super(s),this.tool_name=\"Lasso Select\",this.icon=n.tool_icon_lasso_select,this.event_type=\"pan\",this.default_order=12}static init_LassoSelectTool(){this.prototype.default_view=h,this.define((({Boolean:s,Ref:e})=>({select_every_mousemove:[s,!0],overlay:[e(_.PolyAnnotation),a.DEFAULT_POLY_OVERLAY]}))),this.register_alias(\"lasso_select\",(()=>new r))}}t.LassoSelectTool=r,r.__name__=\"LassoSelectTool\",r.init_LassoSelectTool()},\n", - " function _(e,t,s,l,o){l();const i=e(378),a=e(231),_=e(43),c=e(9),n=e(242);class h extends i.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==_.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:c.copy(this.data.sx),ys:c.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=h,h.__name__=\"PolySelectToolView\";s.DEFAULT_POLY_OVERLAY=()=>new a.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 y extends i.SelectTool{constructor(e){super(e),this.tool_name=\"Poly Select\",this.icon=n.tool_icon_polygon_select,this.event_type=\"tap\",this.default_order=11}static init_PolySelectTool(){this.prototype.default_view=h,this.define((({Ref:e})=>({overlay:[e(a.PolyAnnotation),s.DEFAULT_POLY_OVERLAY]}))),this.register_alias(\"poly_select\",(()=>new y))}}s.PolySelectTool=y,y.__name__=\"PolySelectTool\",y.init_PolySelectTool()},\n", - " function _(e,t,i,s,n){s();const r=e(20),_=e(383),d=e(242);class o extends _.LineToolView{constructor(){super(...arguments),this._drawing=!1}_doubletap(e){if(!this.model.active)return;const t=this.model.renderers;for(const i of t){1==this._select_event(e,\"replace\",[i]).length&&(this._selected_renderer=i)}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,[i,s]=[t.x.field,t.y.field],n=e.get_array(i),r=e.get_array(s);this._set_intersection(n,r)}_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 i=this._select_mode(e);if(0==this._select_event(e,i,[t]).length)return}const i=this._select_mode(e);this._select_event(e,i,[t]),this._select_event(e,i,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,[i,s]=[e.x.field,e.y.field];if(i&&s){const e=t.data[i],n=t.data[s];this._selected_renderer.data_source.data[i]=e,this._selected_renderer.data_source.data[s]=n}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())}}i.LineEditToolView=o,o.__name__=\"LineEditToolView\";class l extends _.LineTool{constructor(e){super(e),this.tool_name=\"Line Edit Tool\",this.icon=d.tool_icon_line_edit,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=4}static init_LineEditTool(){this.prototype.default_view=o,this.define((()=>({dimensions:[r.Dimensions,\"both\"]})))}get tooltip(){return this._get_dim_tooltip(this.dimensions)}}i.LineEditTool=l,l.__name__=\"LineEditTool\",l.init_LineEditTool()},\n", - " function _(e,i,t,n,o){n();const s=e(8),_=e(370);class r extends _.EditToolView{_set_intersection(e,i){const t=this.model.intersection_renderer.glyph,n=this.model.intersection_renderer.data_source,[o,_]=[t.x.field,t.y.field];o&&(s.isArray(e)?n.data[o]=e:t.x={value:e}),_&&(s.isArray(i)?n.data[_]=i:t.y={value:i}),this._emit_cds_changes(n,!0,!0,!1)}_hide_intersections(){this._set_intersection([],[])}}t.LineToolView=r,r.__name__=\"LineToolView\";class c extends _.EditTool{constructor(e){super(e)}static init_LineTool(){this.define((({AnyRef:e})=>({intersection_renderer:[e()]})))}}t.LineTool=c,c.__name__=\"LineTool\",c.init_LineTool()},\n", - " function _(t,s,i,n,e){n();const o=t(1),a=t(237),_=t(20),h=o.__importStar(t(242));function l(t,s,i){const n=new Map;for(const[e,o]of t){const[t,a]=o.r_invert(s,i);n.set(e,{start:t,end:a})}return n}i.update_ranges=l;class r extends a.GestureToolView{_pan_start(t){var s;this.last_dx=0,this.last_dy=0;const{sx:i,sy:n}=t,e=this.plot_view.frame.bbox;if(!e.contains(i,n)){const t=e.h_range,s=e.v_range;(it.end)&&(this.v_axis_only=!0),(ns.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})}_update(t,s){const i=this.plot_view.frame,n=t-this.last_dx,e=s-this.last_dy,o=i.bbox.h_range,a=o.start-n,_=o.end-n,h=i.bbox.v_range,r=h.start-e,d=h.end-e,p=this.model.dimensions;let c,m,u,x,v,y;\"width\"!=p&&\"both\"!=p||this.v_axis_only?(c=o.start,m=o.end,u=0):(c=a,m=_,u=-n),\"height\"!=p&&\"both\"!=p||this.h_axis_only?(x=h.start,v=h.end,y=0):(x=r,v=d,y=-e),this.last_dx=t,this.last_dy=s;const{x_scales:g,y_scales:w}=i,f=l(g,c,m),b=l(w,x,v);this.pan_info={xrs:f,yrs:b,sdx:u,sdy:y},this.plot_view.update_range(this.pan_info,{panning:!0})}}i.PanToolView=r,r.__name__=\"PanToolView\";class d extends a.GestureTool{constructor(t){super(t),this.tool_name=\"Pan\",this.event_type=\"pan\",this.default_order=10}static init_PanTool(){this.prototype.default_view=r,this.define((()=>({dimensions:[_.Dimensions,\"both\",{on_update(t,s){switch(t){case\"both\":s.icon=h.tool_icon_pan;break;case\"width\":s.icon=h.tool_icon_xpan;break;case\"height\":s.icon=h.tool_icon_ypan}}}]}))),this.register_alias(\"pan\",(()=>new d({dimensions:\"both\"}))),this.register_alias(\"xpan\",(()=>new d({dimensions:\"width\"}))),this.register_alias(\"ypan\",(()=>new d({dimensions:\"height\"})))}get tooltip(){return this._get_dim_tooltip(this.dimensions)}}i.PanTool=d,d.__name__=\"PanTool\",d.init_PanTool()},\n", - " function _(t,e,i,s,n){s();const l=t(136),a=t(156),r=t(19),o=t(237),_=t(242);function h(t){switch(t){case 1:return 2;case 2:return 1;case 4:return 5;case 5:return 4;default:return t}}function d(t,e,i,s){if(null==e)return!1;const n=i.compute(e);return Math.abs(t-n)n.right)&&(l=!1)}if(null!=n.bottom&&null!=n.top){const t=s.invert(e);(tn.top)&&(l=!1)}return l}function c(t,e,i){let s=0;return t>=i.start&&t<=i.end&&(s+=1),e>=i.start&&e<=i.end&&(s+=1),s}function g(t,e,i,s){const n=e.compute(t),l=e.invert(n+i);return l>=s.start&&l<=s.end?l:t}function y(t,e,i){return t>e.start?(e.end=t,i):(e.end=e.start,e.start=t,h(i))}function f(t,e,i){return t=o&&(t.start=a,t.end=r)}i.flip_side=h,i.is_near=d,i.is_inside=u,i.sides_inside=c,i.compute_value=g,i.update_range_end_side=y,i.update_range_start_side=f,i.update_range=m;class v extends o.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(t){this.last_dx=0,this.last_dy=0;const e=this.model.x_range,i=this.model.y_range,{frame:s}=this.plot_view,n=s.x_scale,a=s.y_scale,r=this.model.overlay,{left:o,right:_,top:h,bottom:c}=r,g=this.model.overlay.line_width+l.EDGE_TOLERANCE;null!=e&&this.model.x_interaction&&(d(t.sx,o,n,g)?this.side=1:d(t.sx,_,n,g)?this.side=2:u(t.sx,t.sy,n,a,r)&&(this.side=3)),null!=i&&this.model.y_interaction&&(0==this.side&&d(t.sy,c,a,g)&&(this.side=4),0==this.side&&d(t.sy,h,a,g)?this.side=5:u(t.sx,t.sy,n,a,this.model.overlay)&&(3==this.side?this.side=7:this.side=6))}_pan(t){const e=this.plot_view.frame,i=t.deltaX-this.last_dx,s=t.deltaY-this.last_dy,n=this.model.x_range,l=this.model.y_range,a=e.x_scale,r=e.y_scale;if(null!=n)if(3==this.side||7==this.side)m(n,a,i,e.x_range);else if(1==this.side){const t=g(n.start,a,i,e.x_range);this.side=f(t,n,this.side)}else if(2==this.side){const t=g(n.end,a,i,e.x_range);this.side=y(t,n,this.side)}if(null!=l)if(6==this.side||7==this.side)m(l,r,s,e.y_range);else if(4==this.side){const t=g(l.start,r,s,e.y_range);this.side=f(t,l,this.side)}else if(5==this.side){const t=g(l.end,r,s,e.y_range);this.side=y(t,l,this.side)}this.last_dx=t.deltaX,this.last_dy=t.deltaY}_pan_end(t){this.side=0}}i.RangeToolView=v,v.__name__=\"RangeToolView\";const p=()=>new l.BoxAnnotation({level:\"overlay\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:.5,line_dash:[2,2]});class x extends o.GestureTool{constructor(t){super(t),this.tool_name=\"Range Tool\",this.icon=_.tool_icon_range,this.event_type=\"pan\",this.default_order=1}static init_RangeTool(){this.prototype.default_view=v,this.define((({Boolean:t,Ref:e,Nullable:i})=>({x_range:[i(e(a.Range1d)),null],x_interaction:[t,!0],y_range:[i(e(a.Range1d)),null],y_interaction:[t,!0],overlay:[e(l.BoxAnnotation),p]})))}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,r.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=x,x.__name__=\"RangeTool\",x.init_RangeTool()},\n", - " function _(e,t,s,o,i){o();const l=e(378),a=e(20),n=e(242);class c extends l.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=c,c.__name__=\"TapToolView\";class _ extends l.SelectTool{constructor(e){super(e),this.tool_name=\"Tap\",this.icon=n.tool_icon_tap_select,this.event_type=\"tap\",this.default_order=10}static init_TapTool(){this.prototype.default_view=c,this.define((({Any:e,Enum:t,Nullable:s})=>({behavior:[a.TapBehavior,\"select\"],gesture:[t(\"tap\",\"doubletap\"),\"tap\"],callback:[s(e)]}))),this.register_alias(\"click\",(()=>new _({behavior:\"inspect\"}))),this.register_alias(\"tap\",(()=>new _)),this.register_alias(\"doubletap\",(()=>new _({gesture:\"doubletap\"})))}}s.TapTool=_,_.__name__=\"TapTool\",_.init_TapTool()},\n", - " function _(e,t,s,i,n){i();const o=e(237),a=e(20),l=e(242),_=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,i=s.bbox.h_range,n=s.bbox.v_range,[o,a]=[i.start,i.end],[l,h]=[n.start,n.end];let r,d,c,p;switch(this.model.dimension){case\"height\":{const t=Math.abs(h-l);r=o,d=a,c=l-t*e,p=h-t*e;break}case\"width\":{const t=Math.abs(a-o);r=o-t*e,d=a-t*e,c=l,p=h;break}}const{x_scales:m,y_scales:u}=s,w={xrs:_.update_ranges(m,r,d),yrs:_.update_ranges(u,c,p),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)}}s.WheelPanToolView=h,h.__name__=\"WheelPanToolView\";class r extends o.GestureTool{constructor(e){super(e),this.tool_name=\"Wheel Pan\",this.icon=l.tool_icon_wheel_pan,this.event_type=\"scroll\",this.default_order=12}static init_WheelPanTool(){this.prototype.default_view=h,this.define((()=>({dimension:[a.Dimension,\"width\"]}))),this.internal((({Number:e})=>({speed:[e,.001]}))),this.register_alias(\"xwheel_pan\",(()=>new r({dimension:\"width\"}))),this.register_alias(\"ywheel_pan\",(()=>new r({dimension:\"height\"})))}get tooltip(){return this._get_dim_tooltip(this.dimension)}}s.WheelPanTool=r,r.__name__=\"WheelPanTool\",r.init_WheelPanTool()},\n", - " function _(e,o,t,s,i){s();const l=e(237),n=e(368),h=e(20),_=e(27),a=e(242);class m extends l.GestureToolView{_pinch(e){const{sx:o,sy:t,scale:s,ctrlKey:i,shiftKey:l}=e;let n;n=s>=1?20*(s-1):-20/s,this._scroll({type:\"wheel\",sx:o,sy:t,delta:n,ctrlKey:i,shiftKey:l})}_scroll(e){var o;const{frame:t}=this.plot_view,s=t.bbox.h_range,i=t.bbox.v_range,{sx:l,sy:h}=e,_=this.model.dimensions,a=(\"width\"==_||\"both\"==_)&&s.start({dimensions:[h.Dimensions,\"both\"],maintain_focus:[e,!0],zoom_on_axis:[e,!0],speed:[o,1/600]}))),this.register_alias(\"wheel_zoom\",(()=>new r({dimensions:\"both\"}))),this.register_alias(\"xwheel_zoom\",(()=>new r({dimensions:\"width\"}))),this.register_alias(\"ywheel_zoom\",(()=>new r({dimensions:\"height\"})))}get tooltip(){return this._get_dim_tooltip(this.dimensions)}}t.WheelZoomTool=r,r.__name__=\"WheelZoomTool\",r.init_WheelZoomTool()},\n", - " function _(i,s,t,o,e){o();const n=i(247),l=i(233),h=i(20),a=i(13),r=i(242);class _ extends n.InspectToolView{_move(i){if(!this.model.active)return;const{sx:s,sy:t}=i;this.plot_view.frame.bbox.contains(s,t)?this._update_spans(s,t):this._update_spans(null,null)}_move_exit(i){this._update_spans(null,null)}_update_spans(i,s){const t=this.model.dimensions;\"width\"!=t&&\"both\"!=t||(this.model.spans.width.location=s),\"height\"!=t&&\"both\"!=t||(this.model.spans.height.location=i)}}t.CrosshairToolView=_,_.__name__=\"CrosshairToolView\";class c extends n.InspectTool{constructor(i){super(i),this.tool_name=\"Crosshair\",this.icon=r.tool_icon_crosshair}static init_CrosshairTool(){function i(i,s){return new l.Span({for_hover:!0,dimension:s,location_units:\"screen\",level:\"overlay\",line_color:i.line_color,line_width:i.line_width,line_alpha:i.line_alpha})}this.prototype.default_view=_,this.define((({Alpha:i,Number:s,Color:t})=>({dimensions:[h.Dimensions,\"both\"],line_color:[t,\"black\"],line_width:[s,1],line_alpha:[i,1]}))),this.internal((({Struct:s,Ref:t})=>({spans:[s({width:t(l.Span),height:t(l.Span)}),s=>({width:i(s,\"width\"),height:i(s,\"height\")})]}))),this.register_alias(\"crosshair\",(()=>new c))}get tooltip(){return this._get_dim_tooltip(this.dimensions)}get synthetic_renderers(){return a.values(this.spans)}}t.CrosshairTool=c,c.__name__=\"CrosshairTool\",c.init_CrosshairTool()},\n", - " function _(t,e,s,o,r){o();const n=t(53),i=t(13),a=t(34);class u extends n.Model{constructor(t){super(t)}static init_CustomJSHover(){this.define((({Unknown:t,String:e,Dict:s})=>({args:[s(t),{}],code:[e,\"\"]})))}get values(){return i.values(this.args)}_make_code(t,e,s,o){return new Function(...i.keys(this.args),t,e,s,a.use_strict(o))}format(t,e,s){return this._make_code(\"value\",\"format\",\"special_vars\",this.code)(...this.values,t,e,s)}}s.CustomJSHover=u,u.__name__=\"CustomJSHover\",u.init_CustomJSHover()},\n", - " function _(e,t,n,s,o){s();const i=e(1),r=e(247),l=e(390),a=e(254),c=e(61),_=e(123),d=e(62),p=e(63),h=e(127),u=i.__importStar(e(107)),m=e(182),y=e(43),f=e(22),x=e(13),v=e(245),w=e(8),g=e(122),b=e(20),k=e(242),C=e(15),S=e(161),T=i.__importStar(e(255));function $(e,t,n,s,o,i){const r={x:o[e],y:i[e]},l={x:o[e+1],y:i[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=u.dist_2_pts(r,e),c=u.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 a.Tooltip({custom:w.isString(n)||w.isFunction(n),attachment:this.model.attachment,show_arrow:this.model.show_arrow});t instanceof c.GlyphRenderer?e.set(t,s):t instanceof _.GraphRenderer&&(e.set(t.node_renderer,s),e.set(t.edge_renderer,s))}const s=await g.build_views(this._ttviews,[...e.values()],{parent:this.plot_view});for(const e of s)e.render();const o=[...function*(){for(const e of t)e instanceof c.GlyphRenderer?yield e:e instanceof _.GraphRenderer&&(yield e.node_renderer,yield e.edge_renderer)}()],i=this._slots.get(this._update);if(null!=i){const e=new Set(o.map((e=>e.data_source)));C.Signal.disconnect_receiver(this,i,e)}for(const e of o)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 S.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 c.GlyphRenderer))return;if(\"ignore\"==this.model.muted_policy&&e.muted)return;const o=this.ttmodels.get(e);if(null==o)return;const i=e.get_selection_manager();let r=i.inspectors.get(e);if(r=e.view.convert_selection_to_subset(r),r.is_empty())return void o.clear();const l=i.source,a=this.plot_view.renderer_view(e);if(null==a)return;const{sx:_,sy:d}=t,u=a.coordinates.x_scale,m=a.coordinates.y_scale,f=u.invert(_),v=m.invert(d),{glyph:w}=a,g=[];if(w instanceof p.LineView)for(const n of r.line_indices){let s,o,i=w._x[n+1],a=w._y[n+1],c=n;switch(this.model.line_policy){case\"interp\":[i,a]=w.get_interpolation_hit(n,t),s=u.compute(i),o=m.compute(a);break;case\"prev\":[[s,o],c]=R(w.sx,w.sy,n);break;case\"next\":[[s,o],c]=R(w.sx,w.sy,n+1);break;case\"nearest\":[[s,o],c]=$(n,t,_,d,w.sx,w.sy),i=w._x[c],a=w._y[c];break;default:[s,o]=[_,d]}const p={index:c,x:f,y:v,sx:_,sy:d,data_x:i,data_y:a,rx:s,ry:o,indices:r.line_indices,name:e.name};g.push([s,o,this._render_tooltips(l,c,p)])}for(const t of r.image_indices){const n={index:t.index,x:f,y:v,sx:_,sy:d,name:e.name},s=this._render_tooltips(l,t,n);g.push([_,d,s])}for(const o of r.indices)if(w instanceof h.MultiLineView&&!x.isEmpty(r.multiline_indices))for(const n of r.multiline_indices[o.toString()]){let s,i,a,p=w._xs.get(o)[n],h=w._ys.get(o)[n],y=n;switch(this.model.line_policy){case\"interp\":[p,h]=w.get_interpolation_hit(o,n,t),s=u.compute(p),i=m.compute(h);break;case\"prev\":[[s,i],y]=R(w.sxs.get(o),w.sys.get(o),n);break;case\"next\":[[s,i],y]=R(w.sxs.get(o),w.sys.get(o),n+1);break;case\"nearest\":[[s,i],y]=$(n,t,_,d,w.sxs.get(o),w.sys.get(o)),p=w._xs.get(o)[y],h=w._ys.get(o)[y];break;default:throw new Error(\"shouldn't have happened\")}a=e instanceof c.GlyphRenderer?e.view.convert_indices_from_subset([o])[0]:o;const x={index:a,x:f,y:v,sx:_,sy:d,data_x:p,data_y:h,segment_index:y,indices:r.multiline_indices,name:e.name};g.push([s,i,this._render_tooltips(l,a,x)])}else{const t=null===(n=w._x)||void 0===n?void 0:n[o],i=null===(s=w._y)||void 0===s?void 0:s[o];let a,p,h;if(\"snap_to_data\"==this.model.point_policy){let e=w.get_anchor_point(this.model.anchor,o,[_,d]);if(null==e&&(e=w.get_anchor_point(\"center\",o,[_,d]),null==e))continue;a=e.x,p=e.y}else[a,p]=[_,d];h=e instanceof c.GlyphRenderer?e.view.convert_indices_from_subset([o])[0]:o;const u={index:h,x:f,y:v,sx:_,sy:d,data_x:t,data_y:i,indices:r.indices,name:e.name};g.push([a,p,this._render_tooltips(l,h,u)])}if(0==g.length)o.clear();else{const{content:e}=o;y.empty(o.content);for(const[,,t]of g)null!=t&&e.appendChild(t);const[t,n]=g[g.length-1];o.setv({position:[t,n]},{check_eq:!1})}}_emit_callback(e){const{callback:t}=this.model;if(null!=t)for(const n of this.computed_renderers){if(!(n instanceof c.GlyphRenderer))continue;const s=this.plot_view.renderer_view(n);if(null==s)continue;const{x_scale:o,y_scale:i}=s.coordinates,r=o.invert(e.sx),l=i.invert(e.sy),a=n.data_source.inspected;t.execute(this.model,{geometry:Object.assign({x:r,y:l},e),renderer:n,index:a})}}_create_template(e){const t=y.div({style:{display:\"table\",borderSpacing:\"2px\"}});for(const[n]of e){const e=y.div({style:{display:\"table-row\"}});t.appendChild(e);const s=y.div({style:{display:\"table-cell\"},class:T.tooltip_row_label},0!=n.length?`${n}: `:\"\");e.appendChild(s);const o=y.span();o.dataset.value=\"\";const i=y.span({class:T.tooltip_color_block},\" \");i.dataset.swatch=\"\",y.undisplay(i);const r=y.div({style:{display:\"table-cell\"},class:T.tooltip_row_value},o,i);e.appendChild(r)}return t}_render_template(e,t,n,s,o){const i=e.cloneNode(!0),r=i.querySelectorAll(\"[data-value]\"),l=i.querySelectorAll(\"[data-swatch]\"),a=/\\$color(\\[.*\\])?:(\\w*)/,c=/\\$swatch:(\\w*)/;for(const[[,e],i]of v.enumerate(t)){const t=e.match(c),_=e.match(a);if(null!=t||null!=_){if(null!=t){const[,e]=t,o=n.get_column(e);if(null==o)r[i].textContent=`${e} unknown`;else{const e=w.isNumber(s)?o[s]:null;null!=e&&(l[i].style.backgroundColor=f.color2css(e),y.display(l[i]))}}if(null!=_){const[,e=\"\",t]=_,o=n.get_column(t);if(null==o){r[i].textContent=`${t} unknown`;continue}const a=e.indexOf(\"hex\")>=0,c=e.indexOf(\"swatch\")>=0,d=w.isNumber(s)?o[s]:null;if(null==d){r[i].textContent=\"(null)\";continue}r[i].textContent=a?f.color2hex(d):f.color2css(d),c&&(l[i].style.backgroundColor=f.color2css(d),y.display(l[i]))}}else{const t=m.replace_placeholders(e.replace(\"$~\",\"$data_\"),n,s,this.model.formatters,o);if(w.isString(t))r[i].textContent=t;else for(const e of t)r[i].appendChild(e)}}return i}_render_tooltips(e,t,n){var s;const{tooltips:o}=this.model;if(w.isString(o)){const s=m.replace_placeholders({html:o},e,t,this.model.formatters,n);return y.div({},s)}if(w.isFunction(o))return o(e,n);if(null!=o){const i=null!==(s=this._template_el)&&void 0!==s?s:this._template_el=this._create_template(o);return this._render_template(i,o,e,t,n)}return null}}n.HoverToolView=H,H.__name__=\"HoverToolView\";class M extends r.InspectTool{constructor(e){super(e),this.tool_name=\"Hover\",this.icon=k.tool_icon_hover}static init_HoverTool(){this.prototype.default_view=H,this.define((({Any:e,Boolean:t,String:n,Array:s,Tuple:o,Dict:i,Or:r,Ref:a,Function:c,Auto:_,Nullable:p})=>({tooltips:[p(r(n,s(o(n,n)),c())),[[\"index\",\"$index\"],[\"data (x, y)\",\"($x, $y)\"],[\"screen (x, y)\",\"($sx, $sy)\"]]],formatters:[i(r(a(l.CustomJSHover),m.FormatterType)),{}],renderers:[r(s(a(d.DataRenderer)),_),\"auto\"],names:[s(n),[]],mode:[b.HoverMode,\"mouse\"],muted_policy:[b.MutedPolicy,\"show\"],point_policy:[b.PointPolicy,\"snap_to_data\"],line_policy:[b.LinePolicy,\"nearest\"],show_arrow:[t,!0],anchor:[b.Anchor,\"center\"],attachment:[b.TooltipAttachment,\"horizontal\"],callback:[p(e)]}))),this.register_alias(\"hover\",(()=>new M))}}n.HoverTool=M,M.__name__=\"HoverTool\",M.init_HoverTool()},\n", - " function _(t,o,e,n,i){n();const s=t(15),l=t(53),c=t(238),r=t(247),a=t(245);class u extends l.Model{constructor(t){super(t)}static init_ToolProxy(){this.define((({Boolean:t,Array:o,Ref:e})=>({tools:[o(e(c.ButtonTool)),[]],active:[t,!1],disabled:[t,!1]})))}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 r.InspectTool&&t.toggleable}initialize(){super.initialize(),this.do=new s.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 a.enumerate(t))if(null==e)o.push(null);else{const t=()=>{var t,o;for(const e of this.tools)null===(o=null===(t=e.menu)||void 0===t?void 0:t[n])||void 0===o||o.handler()};o.push(Object.assign(Object.assign({},e),{handler:t}))}return o}}e.ToolProxy=u,u.__name__=\"ToolProxy\",u.init_ToolProxy()},\n", - " function _(o,t,s,i,e){i();const n=o(20),r=o(9),l=o(13),c=o(248),h=o(235),a=o(392),_=o(319),p=o(221);class f extends c.ToolbarBase{constructor(o){super(o)}static init_ProxyToolbar(){this.define((({Array:o,Ref:t})=>({toolbars:[o(t(h.Toolbar)),[]]})))}initialize(){super.initialize(),this._merge_tools()}_merge_tools(){this._proxied_tools=[];const o={},t={},s={},i=[],e=[];for(const o of this.help)r.includes(e,o.redirect)||(i.push(o),e.push(o.redirect));this._proxied_tools.push(...i),this.help=i;for(const[o,t]of l.entries(this.gestures)){o in s||(s[o]={});for(const i of t.tools)i.type in s[o]||(s[o][i.type]=[]),s[o][i.type].push(i)}for(const t of this.inspectors)t.type in o||(o[t.type]=[]),o[t.type].push(t);for(const o of this.actions)o.type in t||(t[o.type]=[]),t[o.type].push(o);const n=(o,t=!1)=>{const s=new a.ToolProxy({tools:o,active:t});return this._proxied_tools.push(s),s};for(const o of l.keys(s)){const t=this.gestures[o];t.tools=[];for(const i of l.keys(s[o])){const e=s[o][i];if(e.length>0)if(\"multi\"==o)for(const o of e){const s=n([o]);t.tools.push(s),this.connect(s.properties.active.change,(()=>this._active_change(s)))}else{const o=n(e);t.tools.push(o),this.connect(o.properties.active.change,(()=>this._active_change(o)))}}}this.actions=[];for(const[o,s]of l.entries(t))if(\"CustomAction\"==o)for(const o of s)this.actions.push(n([o]));else s.length>0&&this.actions.push(n(s));this.inspectors=[];for(const t of l.values(o))t.length>0&&this.inspectors.push(n(t,!0));for(const[o,t]of l.entries(this.gestures))0!=t.tools.length&&(t.tools=r.sort_by(t.tools,(o=>o.default_order)),\"pinch\"!=o&&\"scroll\"!=o&&\"multi\"!=o&&(t.tools[0].active=!0))}}s.ProxyToolbar=f,f.__name__=\"ProxyToolbar\",f.init_ProxyToolbar();class u extends _.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 p.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})}}s.ToolbarBoxView=u,u.__name__=\"ToolbarBoxView\";class y extends _.LayoutDOM{constructor(o){super(o)}static init_ToolbarBox(){this.prototype.default_view=u,this.define((({Ref:o})=>({toolbar:[o(c.ToolbarBase)],toolbar_location:[n.Location,\"right\"]})))}}s.ToolbarBox=y,y.__name__=\"ToolbarBox\",y.init_ToolbarBox()},\n", - " function _(e,n,r,t,o){t();const s=e(1),u=e(53),c=s.__importStar(e(21)),a=e(8),l=e(13);r.resolve_defs=function(e,n){var r,t,o,s;function i(e){return null!=e.module?`${e.module}.${e.name}`:e.name}function f(e){if(a.isString(e))switch(e){case\"Any\":return c.Any;case\"Unknown\":return c.Unknown;case\"Boolean\":return c.Boolean;case\"Number\":return c.Number;case\"Int\":return c.Int;case\"String\":return c.String;case\"Null\":return c.Null}else switch(e[0]){case\"Nullable\":{const[,n]=e;return c.Nullable(f(n))}case\"Or\":{const[,...n]=e;return c.Or(...n.map(f))}case\"Tuple\":{const[,n,...r]=e;return c.Tuple(f(n),...r.map(f))}case\"Array\":{const[,n]=e;return c.Array(f(n))}case\"Struct\":{const[,...n]=e,r=n.map((([e,n])=>[e,f(n)]));return c.Struct(l.to_object(r))}case\"Dict\":{const[,n]=e;return c.Dict(f(n))}case\"Map\":{const[,n,r]=e;return c.Map(f(n),f(r))}case\"Enum\":{const[,...n]=e;return c.Enum(...n)}case\"Ref\":{const[,r]=e,t=n.get(i(r));if(null!=t)return c.Ref(t);throw new Error(`${i(r)} wasn't defined before referencing it`)}case\"AnyRef\":return c.AnyRef()}}for(const c of e){const e=(()=>{if(null==c.extends)return u.Model;{const e=n.get(i(c.extends));if(null!=e)return e;throw new Error(`base model ${i(c.extends)} of ${i(c)} is not defined`)}})(),a=((s=class extends e{}).__name__=c.name,s.__module__=c.module,s);for(const e of null!==(r=c.properties)&&void 0!==r?r:[]){const n=f(null!==(t=e.kind)&&void 0!==t?t:\"Unknown\");a.define({[e.name]:[n,e.default]})}for(const e of null!==(o=c.overrides)&&void 0!==o?o:[])a.override({[e.name]:e.default});n.register(a)}}},\n", - " function _(n,e,t,o,i){o();const d=n(5),c=n(240),s=n(122),a=n(43),l=n(396);t.index={},t.add_document_standalone=async function(n,e,o=[],i=!1){const u=new Map;async function f(i){let d;const f=n.roots().indexOf(i),r=o[f];null!=r?d=r:e.classList.contains(l.BOKEH_ROOT)?d=e:(d=a.div({class:l.BOKEH_ROOT}),e.appendChild(d));const w=await s.build_view(i,{parent:null});return w instanceof c.DOMView&&w.renderTo(d),u.set(i,w),t.index[i.id]=w,w}for(const e of n.roots())await f(e);return i&&(window.document.title=n.title()),n.on_change((n=>{n instanceof d.RootAddedEvent?f(n.model):n instanceof d.RootRemovedEvent?function(n){const e=u.get(n);null!=e&&(e.remove(),u.delete(n),delete t.index[n.id])}(n.model):i&&n instanceof d.TitleChangedEvent&&(window.document.title=n.title)})),[...u.values()]}},\n", - " function _(o,e,n,t,r){t();const l=o(43),d=o(44);function u(o){let e=document.getElementById(o);if(null==e)throw new Error(`Error rendering Bokeh model: could not find #${o} HTML tag`);if(!document.body.contains(e))throw new Error(`Error rendering Bokeh model: element #${o} must be under `);if(\"SCRIPT\"==e.tagName){const o=l.div({class:n.BOKEH_ROOT});l.replaceWith(e,o),e=o}return e}n.BOKEH_ROOT=d.root,n._resolve_element=function(o){const{elementid:e}=o;return null!=e?u(e):document.body},n._resolve_root_elements=function(o){const e=[];if(null!=o.root_ids&&null!=o.roots)for(const n of o.root_ids)e.push(u(o.roots[n]));return e}},\n", - " function _(n,o,t,s,e){s();const c=n(398),r=n(19),a=n(395);t._get_ws_url=function(n,o){let t,s=\"ws:\";return\"https:\"==window.location.protocol&&(s=\"wss:\"),null!=o?(t=document.createElement(\"a\"),t.href=o):t=window.location,null!=n?\"/\"==n&&(n=\"\"):n=t.pathname.replace(/\\/+$/,\"\"),s+\"//\"+t.host+n+\"/ws\"};const i={};t.add_document_from_session=async function(n,o,t,s=[],e=!1){const l=window.location.search.substr(1);let d;try{d=await function(n,o,t){const s=c.parse_token(o).session_id;n in i||(i[n]={});const e=i[n];return s in e||(e[s]=c.pull_session(n,o,t)),e[s]}(n,o,l)}catch(n){const t=c.parse_token(o).session_id;throw r.logger.error(`Failed to load Bokeh session ${t}: ${n}`),n}return a.add_document_standalone(d.document,t,s,e)}},\n", - " function _(e,s,n,t,o){t();const r=e(19),i=e(5),c=e(399),l=e(400),_=e(401);n.DEFAULT_SERVER_WEBSOCKET_URL=\"ws://localhost:5006/ws\",n.DEFAULT_TOKEN=\"eyJzZXNzaW9uX2lkIjogImRlZmF1bHQifQ\";let h=0;function a(e){let s=e.split(\".\")[0];const n=s.length%4;return 0!=n&&(s+=\"=\".repeat(4-n)),JSON.parse(atob(s.replace(/_/g,\"/\").replace(/-/g,\"+\")))}n.parse_token=a;class d{constructor(e=n.DEFAULT_SERVER_WEBSOCKET_URL,s=n.DEFAULT_TOKEN,t=null){this.url=e,this.token=s,this.args_string=t,this._number=h++,this.socket=null,this.session=null,this.closed_permanently=!1,this._current_handler=null,this._pending_replies=new Map,this._pending_messages=[],this._receiver=new l.Receiver,this.id=a(s).session_id.split(\".\")[0],r.logger.debug(`Creating websocket ${this._number} to '${this.url}' session '${this.id}'`)}async connect(){if(this.closed_permanently)throw new Error(\"Cannot connect() a closed ClientConnection\");if(null!=this.socket)throw new Error(\"Already connected\");this._current_handler=null,this._pending_replies.clear(),this._pending_messages=[];try{let e=`${this.url}`;return null!=this.args_string&&this.args_string.length>0&&(e+=`?${this.args_string}`),this.socket=new WebSocket(e,[\"bokeh\",this.token]),new Promise(((e,s)=>{this.socket.binaryType=\"arraybuffer\",this.socket.onopen=()=>this._on_open(e,s),this.socket.onmessage=e=>this._on_message(e),this.socket.onclose=e=>this._on_close(e,s),this.socket.onerror=()=>this._on_error(s)}))}catch(e){throw r.logger.error(`websocket creation failed to url: ${this.url}`),r.logger.error(` - ${e}`),e}}close(){this.closed_permanently||(r.logger.debug(`Permanently closing websocket connection ${this._number}`),this.closed_permanently=!0,null!=this.socket&&this.socket.close(1e3,`close method called on ClientConnection ${this._number}`),this.session._connection_closed())}_schedule_reconnect(e){setTimeout((()=>{this.closed_permanently||r.logger.info(`Websocket connection ${this._number} disconnected, will not attempt to reconnect`)}),e)}send(e){if(null==this.socket)throw new Error(`not connected so cannot send ${e}`);e.send(this.socket)}async send_with_reply(e){const s=await new Promise(((s,n)=>{this._pending_replies.set(e.msgid(),{resolve:s,reject:n}),this.send(e)}));if(\"ERROR\"===s.msgtype())throw new Error(`Error reply ${s.content.text}`);return s}async _pull_doc_json(){const e=c.Message.create(\"PULL-DOC-REQ\",{}),s=await this.send_with_reply(e);if(!(\"doc\"in s.content))throw new Error(\"No 'doc' field in PULL-DOC-REPLY\");return s.content.doc}async _repull_session_doc(e,s){var n;r.logger.debug(this.session?\"Repulling session\":\"Pulling session for first time\");try{const n=await this._pull_doc_json();if(null==this.session)if(this.closed_permanently)r.logger.debug(\"Got new document after connection was already closed\"),s(new Error(\"The connection has been closed\"));else{const s=i.Document.from_json(n),t=i.Document._compute_patch_since_json(n,s);if(t.events.length>0){r.logger.debug(`Sending ${t.events.length} changes from model construction back to server`);const e=c.Message.create(\"PATCH-DOC\",{},t);this.send(e)}this.session=new _.ClientSession(this,s,this.id);for(const e of this._pending_messages)this.session.handle(e);this._pending_messages=[],r.logger.debug(\"Created a new session from new pulled doc\"),e(this.session)}else this.session.document.replace_with_json(n),r.logger.debug(\"Updated existing session with new pulled doc\")}catch(e){null===(n=console.trace)||void 0===n||n.call(console,e),r.logger.error(`Failed to repull session ${e}`),s(e instanceof Error?e:`${e}`)}}_on_open(e,s){r.logger.info(`Websocket connection ${this._number} is now open`),this._current_handler=n=>{this._awaiting_ack_handler(n,e,s)}}_on_message(e){null==this._current_handler&&r.logger.error(\"Got a message with no current handler set\");try{this._receiver.consume(e.data)}catch(e){this._close_bad_protocol(`${e}`)}const s=this._receiver.message;if(null!=s){const e=s.problem();null!=e&&this._close_bad_protocol(e),this._current_handler(s)}}_on_close(e,s){r.logger.info(`Lost websocket ${this._number} connection, ${e.code} (${e.reason})`),this.socket=null,this._pending_replies.forEach((e=>e.reject(\"Disconnected\"))),this._pending_replies.clear(),this.closed_permanently||this._schedule_reconnect(2e3),s(new Error(`Lost websocket connection, ${e.code} (${e.reason})`))}_on_error(e){r.logger.debug(`Websocket error on socket ${this._number}`);const s=\"Could not open websocket\";r.logger.error(`Failed to connect to Bokeh server: ${s}`),e(new Error(s))}_close_bad_protocol(e){r.logger.error(`Closing connection: ${e}`),null!=this.socket&&this.socket.close(1002,e)}_awaiting_ack_handler(e,s,n){\"ACK\"===e.msgtype()?(this._current_handler=e=>this._steady_state_handler(e),this._repull_session_doc(s,n)):this._close_bad_protocol(\"First message was not an ACK\")}_steady_state_handler(e){const s=e.reqid(),n=this._pending_replies.get(s);n?(this._pending_replies.delete(s),n.resolve(e)):this.session?this.session.handle(e):\"PATCH-DOC\"!=e.msgtype()&&this._pending_messages.push(e)}}n.ClientConnection=d,d.__name__=\"ClientConnection\",n.pull_session=function(e,s,n){return new d(e,s,n).connect()}},\n", - " function _(e,s,t,r,n){r();const i=e(34);class a{constructor(e,s,t){this.header=e,this.metadata=s,this.content=t,this.buffers=new Map}static assemble(e,s,t){const r=JSON.parse(e),n=JSON.parse(s),i=JSON.parse(t);return new a(r,n,i)}assemble_buffer(e,s){const t=null!=this.header.num_buffers?this.header.num_buffers:0;if(t<=this.buffers.size)throw new Error(`too many buffers received, expecting 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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\"], \"2.3.2\");\n", - " })(this, function(Bokeh, version) {\n", - " var define;\n", - " return (function(modules, entry, aliases, externals) {\n", - " const bokeh = typeof Bokeh !== \"undefined\" && (version != null ? 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You have to load it prior to loading plugins.\");\n", - " }\n", - " })\n", - " ({\n", - " 417: function _(t,e,i,o,r){o();const s=t(1).__importStar(t(418));i.Widgets=s;t(7).register_models(s)},\n", - " 418: function _(t,e,o,r,u){r(),u(\"AbstractButton\",t(419).AbstractButton),u(\"AbstractIcon\",t(422).AbstractIcon),u(\"AutocompleteInput\",t(423).AutocompleteInput),u(\"Button\",t(428).Button),u(\"CheckboxButtonGroup\",t(429).CheckboxButtonGroup),u(\"CheckboxGroup\",t(431).CheckboxGroup),u(\"ColorPicker\",t(433).ColorPicker),u(\"DatePicker\",t(434).DatePicker),u(\"DateRangeSlider\",t(437).DateRangeSlider),u(\"DateSlider\",t(442).DateSlider),u(\"Div\",t(443).Div),u(\"Dropdown\",t(446).Dropdown),u(\"FileInput\",t(447).FileInput),u(\"InputWidget\",t(426).InputWidget),u(\"Markup\",t(444).Markup),u(\"MultiSelect\",t(448).MultiSelect),u(\"Paragraph\",t(449).Paragraph),u(\"PasswordInput\",t(450).PasswordInput),u(\"MultiChoice\",t(451).MultiChoice),u(\"NumericInput\",t(454).NumericInput),u(\"PreText\",t(455).PreText),u(\"RadioButtonGroup\",t(456).RadioButtonGroup),u(\"RadioGroup\",t(457).RadioGroup),u(\"RangeSlider\",t(458).RangeSlider),u(\"Select\",t(459).Select),u(\"Slider\",t(460).Slider),u(\"Spinner\",t(461).Spinner),u(\"TextInput\",t(424).TextInput),u(\"TextAreaInput\",t(462).TextAreaInput),u(\"Toggle\",t(463).Toggle),u(\"Widget\",t(488).Widget)},\n", - " 419: function _(t,e,n,i,s){i();const l=t(1),o=t(20),r=t(43),c=t(122),u=t(420),_=t(422),a=l.__importStar(t(328)),b=a;class d extends u.ControlView{*controls(){yield this.button_el}async lazy_initialize(){await super.lazy_initialize();const{icon:t}=this.model;null!=t&&(this.icon_view=await c.build_view(t,{parent:this}))}connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.render()))}remove(){null!=this.icon_view&&this.icon_view.remove(),super.remove()}styles(){return[...super.styles(),a.default]}_render_button(...t){return r.button({type:\"button\",disabled:this.model.disabled,class:[b.btn,b[`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?r.prepend(this.button_el,this.icon_view.el,r.nbsp()):r.prepend(this.button_el,this.icon_view.el),this.icon_view.render()),this.group_el=r.div({class:b.btn_group},this.button_el),this.el.appendChild(this.group_el)}click(){}}n.AbstractButtonView=d,d.__name__=\"AbstractButtonView\";class h extends u.Control{constructor(t){super(t)}static init_AbstractButton(){this.define((({String:t,Ref:e,Nullable:n})=>({label:[t,\"Button\"],icon:[n(e(_.AbstractIcon)),null],button_type:[o.ButtonType,\"default\"]})))}}n.AbstractButton=h,h.__name__=\"AbstractButton\",h.init_AbstractButton()},\n", - " 420: function _(t,e,o,s,n){s();const i=t(488),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())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", - " 488: function _(i,t,e,o,n){o();const s=i(322),r=i(20);class d extends s.HTMLBoxView{_width_policy(){return\"horizontal\"==this.model.orientation?super._width_policy():\"fixed\"}_height_policy(){return\"horizontal\"==this.model.orientation?\"fixed\":super._height_policy()}box_sizing(){const i=super.box_sizing();return\"horizontal\"==this.model.orientation?null==i.width&&(i.width=this.model.default_size):null==i.height&&(i.height=this.model.default_size),i}}e.WidgetView=d,d.__name__=\"WidgetView\";class _ extends s.HTMLBox{constructor(i){super(i)}static init_Widget(){this.define((({Number:i})=>({orientation:[r.Orientation,\"horizontal\"],default_size:[i,300]}))),this.override({margin:[5,5,5,5]})}}e.Widget=_,_.__name__=\"Widget\",_.init_Widget()},\n", - " 422: function _(c,t,s,n,e){n();const o=c(53),_=c(240);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", - " 423: function _(e,t,n,i,s){i();const h=e(1),o=e(424),_=e(43),u=e(10),r=h.__importStar(e(243)),c=r;class l extends o.TextInputView{constructor(){super(...arguments),this._open=!1,this._last_value=\"\",this._hover_index=0}styles(){return[...super.styles(),r.default]}render(){super.render(),this.input_el.addEventListener(\"keydown\",(e=>this._keydown(e))),this.input_el.addEventListener(\"keyup\",(e=>this._keyup(e))),this.menu=_.div({class:[c.menu,c.below]}),this.menu.addEventListener(\"click\",(e=>this._menu_click(e))),this.menu.addEventListener(\"mouseover\",(e=>this._menu_hover(e))),this.el.appendChild(this.menu),_.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){_.empty(this.menu);for(const t of e){const e=_.div({},t);this.menu.appendChild(e)}e.length>0&&this.menu.children[0].classList.add(c.active)}_show_menu(){if(!this._open){this._open=!0,this._hover_index=0,this._last_value=this.model.value,_.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,_.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(c.active),this._hover_index=u.clamp(e,0,t-1),this.menu.children[this._hover_index].classList.add(c.active))}_keydown(e){}_keyup(e){switch(e.keyCode){case _.Keys.Enter:this.change_input();break;case _.Keys.Esc:this._hide_menu();break;case _.Keys.Up:this._bump_hover(this._hover_index-1);break;case _.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)i(n).startsWith(i(e))&&t.push(n);this._update_completions(t),0==t.length?this._hide_menu():this._show_menu()}}}}n.AutocompleteInputView=l,l.__name__=\"AutocompleteInputView\";class a extends o.TextInput{constructor(e){super(e)}static init_AutocompleteInput(){this.prototype.default_view=l,this.define((({Boolean:e,Int:t,String:n,Array:i})=>({completions:[i(n),[]],min_characters:[t,2],case_sensitive:[e,!0],restrict:[e,!0]})))}}n.AutocompleteInput=a,a.__name__=\"AutocompleteInput\",a.init_AutocompleteInput()},\n", - " 424: function _(t,e,n,i,p){i();const _=t(1),u=t(425),s=t(43),x=_.__importStar(t(427));class a extends u.TextLikeInputView{_render_input(){this.input_el=s.input({type:\"text\",class:x.input})}}n.TextInputView=a,a.__name__=\"TextInputView\";class c extends u.TextLikeInput{constructor(t){super(t)}static init_TextInput(){this.prototype.default_view=a}}n.TextInput=c,c.__name__=\"TextInput\",c.init_TextInput()},\n", - " 425: function _(e,t,n,i,l){i();const s=e(426);class h extends s.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=h,h.__name__=\"TextLikeInputView\";class a extends s.InputWidget{constructor(e){super(e)}static init_TextLikeInput(){this.define((({Int:e,String:t,Nullable:n})=>({value:[t,\"\"],value_input:[t,\"\"],placeholder:[t,\"\"],max_length:[n(e),null]})))}}n.TextLikeInput=a,a.__name__=\"TextLikeInput\",a.init_TextLikeInput()},\n", - " 426: function _(t,e,i,n,s){n();const l=t(1),o=t(420),r=t(43),_=l.__importStar(t(427)),p=_;class d extends o.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(),_.default]}render(){super.render();const{title:t}=this.model;this.label_el=r.label({style:{display:0==t.length?\"none\":\"\"}},t),this.group_el=r.div({class:p.input_group},this.label_el),this.el.appendChild(this.group_el)}change_input(){}}i.InputWidgetView=d,d.__name__=\"InputWidgetView\";class u extends o.Control{constructor(t){super(t)}static init_InputWidget(){this.define((({String:t})=>({title:[t,\"\"]})))}}i.InputWidget=u,u.__name__=\"InputWidget\",u.init_InputWidget()},\n", - " 427: function _(o,i,t,n,p){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;-webkit-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;display:-webkit-inline-flex;flex-wrap:nowrap;-webkit-flex-wrap:nowrap;align-items:start;-webkit-align-items:start;flex-direction:column;-webkit-flex-direction:column;white-space:nowrap;}.bk-root .bk-input-group.bk-inline{flex-direction:row;-webkit-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", - " 428: function _(t,e,n,i,o){i();const s=t(419),u=t(264);class c extends s.AbstractButtonView{click(){this.model.trigger_event(new u.ButtonClick),super.click()}}n.ButtonView=c,c.__name__=\"ButtonView\";class _ extends s.AbstractButton{constructor(t){super(t)}static init_Button(){this.prototype.default_view=c,this.override({label:\"Button\"})}}n.Button=_,_.__name__=\"Button\",_.init_Button()},\n", - " 429: function _(t,e,o,i,c){i();const n=t(1),s=t(430),a=t(43),u=n.__importStar(t(328));class r extends s.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)=>{a.classes(e).toggle(u.active,t.has(o))}))}}o.CheckboxButtonGroupView=r,r.__name__=\"CheckboxButtonGroupView\";class _ extends s.ButtonGroup{constructor(t){super(t)}static init_CheckboxButtonGroup(){this.prototype.default_view=r,this.define((({Int:t,Array:e})=>({active:[e(t),[]]})))}}o.CheckboxButtonGroup=_,_.__name__=\"CheckboxButtonGroup\",_.init_CheckboxButtonGroup()},\n", - " 430: function _(t,e,n,s,i){s();const o=t(1),r=t(420),u=t(20),a=t(43),_=o.__importStar(t(328)),l=_;class c extends r.ControlView{*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(),_.default]}render(){super.render(),this._buttons=this.model.labels.map(((t,e)=>{const n=a.div({class:[l.btn,l[`btn_${this.model.button_type}`]],disabled:this.model.disabled},t);return n.addEventListener(\"click\",(()=>this.change_active(e))),n})),this._update_active();const t=a.div({class:l.btn_group},this._buttons);this.el.appendChild(t)}}n.ButtonGroupView=c,c.__name__=\"ButtonGroupView\";class d extends r.Control{constructor(t){super(t)}static init_ButtonGroup(){this.define((({String:t,Array:e})=>({labels:[e(t),[]],button_type:[u.ButtonType,\"default\"]})))}}n.ButtonGroup=d,d.__name__=\"ButtonGroup\",d.init_ButtonGroup()},\n", - " 431: function _(e,t,i,n,s){n();const o=e(1),c=e(432),a=e(43),l=e(9),d=o.__importStar(e(427));class h extends c.InputGroupView{render(){super.render();const e=a.div({class:[d.input_group,this.model.inline?d.inline:null]});this.el.appendChild(e);const{active:t,labels:i}=this.model;this._inputs=[];for(let n=0;nthis.change_active(n))),this._inputs.push(s),this.model.disabled&&(s.disabled=!0),l.includes(t,n)&&(s.checked=!0);const o=a.label({},s,a.span({},i[n]));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()}}i.CheckboxGroupView=h,h.__name__=\"CheckboxGroupView\";class p extends c.InputGroup{constructor(e){super(e)}static init_CheckboxGroup(){this.prototype.default_view=h,this.define((({Boolean:e,Int:t,String:i,Array:n})=>({active:[n(t),[]],labels:[n(i),[]],inline:[e,!1]})))}}i.CheckboxGroup=p,p.__name__=\"CheckboxGroup\",p.init_CheckboxGroup()},\n", - " 432: function _(n,t,e,s,o){s();const r=n(1),u=n(420),c=r.__importDefault(n(427));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", - " 433: function _(e,i,t,n,o){n();const s=e(1),l=e(426),r=e(43),c=e(22),a=s.__importStar(e(427));class d extends l.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.color.change,(()=>this.input_el.value=c.color2hexrgb(this.model.color))),this.connect(this.model.properties.disabled.change,(()=>this.input_el.disabled=this.model.disabled))}render(){super.render(),this.input_el=r.input({type:\"color\",class:a.input,name:this.model.name,value:this.model.color,disabled:this.model.disabled}),this.input_el.addEventListener(\"change\",(()=>this.change_input())),this.group_el.appendChild(this.input_el)}change_input(){this.model.color=this.input_el.value,super.change_input()}}t.ColorPickerView=d,d.__name__=\"ColorPickerView\";class h extends l.InputWidget{constructor(e){super(e)}static init_ColorPicker(){this.prototype.default_view=d,this.define((({Color:e})=>({color:[e,\"#000000\"]})))}}t.ColorPicker=h,h.__name__=\"ColorPicker\",h.init_ColorPicker()},\n", - " 434: function _(e,t,i,n,s){n();const a=e(1),l=a.__importDefault(e(435)),o=e(426),d=e(43),r=e(20),c=e(8),h=a.__importStar(e(427)),u=a.__importDefault(e(436));function _(e){const t=[];for(const i of e)if(c.isString(i))t.push(i);else{const[e,n]=i;t.push({from:e,to:n})}return t}class p extends o.InputWidgetView{connect_signals(){super.connect_signals();const{value:e,min_date:t,max_date:i,disabled_dates:n,enabled_dates:s,position:a,inline:l}=this.model.properties;this.connect(e.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.setDate(this.model.value)})),this.connect(t.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"minDate\",this.model.min_date)})),this.connect(i.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"maxDate\",this.model.max_date)})),this.connect(n.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"disable\",this.model.disabled_dates)})),this.connect(s.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"enable\",this.model.enabled_dates)})),this.connect(a.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"position\",this.model.position)})),this.connect(l.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"inline\",this.model.inline)}))}remove(){var e;null===(e=this._picker)||void 0===e||e.destroy(),super.remove()}styles(){return[...super.styles(),u.default]}render(){var e,t;null==this._picker&&(super.render(),this.input_el=d.input({type:\"text\",class:h.input,disabled:this.model.disabled}),this.group_el.appendChild(this.input_el),this._picker=l.default(this.input_el,{defaultDate:this.model.value,minDate:null!==(e=this.model.min_date)&&void 0!==e?e:void 0,maxDate:null!==(t=this.model.max_date)&&void 0!==t?t:void 0,inline:this.model.inline,position:this.model.position,disable:_(this.model.disabled_dates),enable:_(this.model.enabled_dates),onChange:(e,t,i)=>this._on_change(e,t,i)}))}_on_change(e,t,i){this.model.value=t,this.change_input()}}i.DatePickerView=p,p.__name__=\"DatePickerView\";class m extends o.InputWidget{constructor(e){super(e)}static init_DatePicker(){this.prototype.default_view=p,this.define((({Boolean:e,String:t,Array:i,Tuple:n,Or:s,Nullable:a})=>{const l=i(s(t,n(t,t)));return{value:[t],min_date:[a(t),null],max_date:[a(t),null],disabled_dates:[l,[]],enabled_dates:[l,[]],position:[r.CalendarPosition,\"auto\"],inline:[e,!1]}}))}}i.DatePicker=m,m.__name__=\"DatePicker\",m.init_DatePicker()},\n", - " 435: function _(e,n,t,a,i){\n", - " /* flatpickr v4.6.6, @license MIT */var o,r;o=this,r=function(){\"use strict\";\n", - " /*! *****************************************************************************\n", - " Copyright (c) Microsoft Corporation.\n", - " \n", - " Permission to use, copy, modify, and/or distribute this software for any\n", - " purpose with or without fee is hereby granted.\n", - " \n", - " THE SOFTWARE IS PROVIDED \"AS IS\" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH\n", - " REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY\n", - " AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT,\n", - " INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM\n", - " LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR\n", - " OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR\n", - " PERFORMANCE OF THIS SOFTWARE.\n", - " ***************************************************************************** */var e=function(){return(e=Object.assign||function(e){for(var n,t=1,a=arguments.length;t\",noCalendar:!1,now:new Date,onChange:[],onClose:[],onDayCreate:[],onDestroy:[],onKeyDown:[],onMonthChange:[],onOpen:[],onParseConfig:[],onReady:[],onValueUpdate:[],onYearChange:[],onPreCalendarPosition:[],plugins:[],position:\"auto\",positionElement:void 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0,!0).getTime(),a=Math.min(n,w.selectedDates[0].getTime()),i=Math.max(n,w.selectedDates[0].getTime()),o=!1,r=0,l=0,c=a;ca&&cr)?r=c:c>t&&(!l||c0&&m0&&m>l;return g?(f.classList.add(\"notAllowed\"),[\"inRange\",\"startRange\",\"endRange\"].forEach((function(e){f.classList.remove(e)})),\"continue\"):o&&!g?\"continue\":([\"startRange\",\"inRange\",\"endRange\",\"notAllowed\"].forEach((function(e){f.classList.remove(e)})),void(void 0!==e&&(e.classList.add(n<=w.selectedDates[0].getTime()?\"startRange\":\"endRange\"),tn&&m===t&&f.classList.add(\"endRange\"),m>=r&&(0===l||m<=l)&&(d=t,u=n,(c=m)>Math.min(d,u)&&c0||t.getMinutes()>0||t.getSeconds()>0),w.selectedDates&&(w.selectedDates=w.selectedDates.filter((function(e){return X(e)})),w.selectedDates.length||\"min\"!==e||S(t),be()),w.daysContainer&&(de(),void 0!==t?w.currentYearElement[e]=t.getFullYear().toString():w.currentYearElement.removeAttribute(e),w.currentYearElement.disabled=!!a&&void 0!==t&&a.getFullYear()===t.getFullYear())}}function 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(\" \"),o=i[0],r=i.length>1?i[1]:null,l=n.getBoundingClientRect(),c=window.innerHeight-l.bottom,s=\"above\"===o||\"below\"!==o&&ct,u=window.pageYOffset+l.top+(s?-t-2:n.offsetHeight+2);if(d(w.calendarContainer,\"arrowTop\",!s),d(w.calendarContainer,\"arrowBottom\",s),!w.config.inline){var f=window.pageXOffset+l.left,m=!1,g=!1;\"center\"===r?(f-=(a-l.width)/2,m=!0):\"right\"===r&&(f-=a-l.width,g=!0),d(w.calendarContainer,\"arrowLeft\",!m&&!g),d(w.calendarContainer,\"arrowCenter\",m),d(w.calendarContainer,\"arrowRight\",g);var p=window.document.body.offsetWidth-(window.pageXOffset+l.right),h=f+a>window.document.body.offsetWidth,v=p+a>window.document.body.offsetWidth;if(d(w.calendarContainer,\"rightMost\",h),!w.config.static)if(w.calendarContainer.style.top=u+\"px\",h)if(v){var D=function(){for(var e=null,n=0;nw.currentMonth+w.config.showMonths-1)&&\"range\"!==w.config.mode;if(w.selectedDateElem=t,\"single\"===w.config.mode)w.selectedDates=[a];else if(\"multiple\"===w.config.mode){var 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 w.altInput),w.input&&(w.input.type=w.input._type,w.input.classList.remove(\"flatpickr-input\"),w.input.removeAttribute(\"readonly\")),[\"_showTimeInput\",\"latestSelectedDateObj\",\"_hideNextMonthArrow\",\"_hidePrevMonthArrow\",\"__hideNextMonthArrow\",\"__hidePrevMonthArrow\",\"isMobile\",\"isOpen\",\"selectedDateElem\",\"minDateHasTime\",\"maxDateHasTime\",\"days\",\"daysContainer\",\"_input\",\"_positionElement\",\"innerContainer\",\"rContainer\",\"monthNav\",\"todayDateElem\",\"calendarContainer\",\"weekdayContainer\",\"prevMonthNav\",\"nextMonthNav\",\"monthsDropdownContainer\",\"currentMonthElement\",\"currentYearElement\",\"navigationCurrentMonth\",\"selectedDateElem\",\"config\"].forEach((function(e){try{delete w[e]}catch(e){}}))},w.isEnabled=X,w.jumpToDate=P,w.open=function(e,n){if(void 0===n&&(n=w._positionElement),!0===w.isMobile){if(e){e.preventDefault();var t=g(e);t&&t.blur()}return void 0!==w.mobileInput&&(w.mobileInput.focus(),w.mobileInput.click()),void pe(\"onOpen\")}if(!w._input.disabled&&!w.config.inline){var a=w.isOpen;w.isOpen=!0,a||(w.calendarContainer.classList.add(\"open\"),w._input.classList.add(\"active\"),pe(\"onOpen\"),ce(n)),!0===w.config.enableTime&&!0===w.config.noCalendar&&(!1!==w.config.allowInput||void 0!==e&&w.timeContainer.contains(e.relatedTarget)||setTimeout((function(){return w.hourElement.select()}),50))}},w.redraw=de,w.set=function(e,n){if(null!==e&&\"object\"==typeof e)for(var a in Object.assign(w.config,e),e)void 0!==fe[a]&&fe[a].forEach((function(e){return e()}));else w.config[e]=n,void 0!==fe[e]?fe[e].forEach((function(e){return e()})):t.indexOf(e)>-1&&(w.config[e]=c(n));w.redraw(),be(!0)},w.setDate=function(e,n,t){if(void 0===n&&(n=!1),void 0===t&&(t=w.config.dateFormat),0!==e&&!e||e instanceof Array&&0===e.length)return w.clear(n);me(e,t),w.latestSelectedDateObj=w.selectedDates[w.selectedDates.length-1],w.redraw(),P(void 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 0===n&&(n=w.currentYear),1===e&&(n%4==0&&n%100!=0||n%400==0)?29:w.l10n.daysInMonth[e]}},w.isMobile||function(){var e=window.document.createDocumentFragment();if(w.calendarContainer=s(\"div\",\"flatpickr-calendar\"),w.calendarContainer.tabIndex=-1,!w.config.noCalendar){if(e.appendChild((w.monthNav=s(\"div\",\"flatpickr-months\"),w.yearElements=[],w.monthElements=[],w.prevMonthNav=s(\"span\",\"flatpickr-prev-month\"),w.prevMonthNav.innerHTML=w.config.prevArrow,w.nextMonthNav=s(\"span\",\"flatpickr-next-month\"),w.nextMonthNav.innerHTML=w.config.nextArrow,q(),Object.defineProperty(w,\"_hidePrevMonthArrow\",{get:function(){return w.__hidePrevMonthArrow},set:function(e){w.__hidePrevMonthArrow!==e&&(d(w.prevMonthNav,\"flatpickr-disabled\",e),w.__hidePrevMonthArrow=e)}}),Object.defineProperty(w,\"_hideNextMonthArrow\",{get:function(){return w.__hideNextMonthArrow},set:function(e){w.__hideNextMonthArrow!==e&&(d(w.nextMonthNav,\"flatpickr-disabled\",e),w.__hideNextMonthArrow=e)}}),w.currentYearElement=w.yearElements[0],De(),w.monthNav)),w.innerContainer=s(\"div\",\"flatpickr-innerContainer\"),w.config.weekNumbers){var n=function(){w.calendarContainer.classList.add(\"hasWeeks\");var e=s(\"div\",\"flatpickr-weekwrapper\");e.appendChild(s(\"span\",\"flatpickr-weekday\",w.l10n.weekAbbreviation));var n=s(\"div\",\"flatpickr-weeks\");return e.appendChild(n),{weekWrapper:e,weekNumbers:n}}(),t=n.weekWrapper,a=n.weekNumbers;w.innerContainer.appendChild(t),w.weekNumbers=a,w.weekWrapper=t}w.rContainer=s(\"div\",\"flatpickr-rContainer\"),w.rContainer.appendChild($()),w.daysContainer||(w.daysContainer=s(\"div\",\"flatpickr-days\"),w.daysContainer.tabIndex=-1),J(),w.rContainer.appendChild(w.daysContainer),w.innerContainer.appendChild(w.rContainer),e.appendChild(w.innerContainer)}w.config.enableTime&&e.appendChild(function(){w.calendarContainer.classList.add(\"hasTime\"),w.config.noCalendar&&w.calendarContainer.classList.add(\"noCalendar\"),w.timeContainer=s(\"div\",\"flatpickr-time\"),w.timeContainer.tabIndex=-1;var e=s(\"span\",\"flatpickr-time-separator\",\":\"),n=m(\"flatpickr-hour\",{\"aria-label\":w.l10n.hourAriaLabel});w.hourElement=n.getElementsByTagName(\"input\")[0];var t=m(\"flatpickr-minute\",{\"aria-label\":w.l10n.minuteAriaLabel});if(w.minuteElement=t.getElementsByTagName(\"input\")[0],w.hourElement.tabIndex=w.minuteElement.tabIndex=-1,w.hourElement.value=o(w.latestSelectedDateObj?w.latestSelectedDateObj.getHours():w.config.time_24hr?w.config.defaultHour:function(e){switch(e%24){case 0:case 12:return 12;default:return e%12}}(w.config.defaultHour)),w.minuteElement.value=o(w.latestSelectedDateObj?w.latestSelectedDateObj.getMinutes():w.config.defaultMinute),w.hourElement.setAttribute(\"step\",w.config.hourIncrement.toString()),w.minuteElement.setAttribute(\"step\",w.config.minuteIncrement.toString()),w.hourElement.setAttribute(\"min\",w.config.time_24hr?\"0\":\"1\"),w.hourElement.setAttribute(\"max\",w.config.time_24hr?\"23\":\"12\"),w.minuteElement.setAttribute(\"min\",\"0\"),w.minuteElement.setAttribute(\"max\",\"59\"),w.timeContainer.appendChild(n),w.timeContainer.appendChild(e),w.timeContainer.appendChild(t),w.config.time_24hr&&w.timeContainer.classList.add(\"time24hr\"),w.config.enableSeconds){w.timeContainer.classList.add(\"hasSeconds\");var a=m(\"flatpickr-second\");w.secondElement=a.getElementsByTagName(\"input\")[0],w.secondElement.value=o(w.latestSelectedDateObj?w.latestSelectedDateObj.getSeconds():w.config.defaultSeconds),w.secondElement.setAttribute(\"step\",w.minuteElement.getAttribute(\"step\")),w.secondElement.setAttribute(\"min\",\"0\"),w.secondElement.setAttribute(\"max\",\"59\"),w.timeContainer.appendChild(s(\"span\",\"flatpickr-time-separator\",\":\")),w.timeContainer.appendChild(a)}return w.config.time_24hr||(w.amPM=s(\"span\",\"flatpickr-am-pm\",w.l10n.amPM[r((w.latestSelectedDateObj?w.hourElement.value:w.config.defaultHour)>11)]),w.amPM.title=w.l10n.toggleTitle,w.amPM.tabIndex=-1,w.timeContainer.appendChild(w.amPM)),w.timeContainer}()),d(w.calendarContainer,\"rangeMode\",\"range\"===w.config.mode),d(w.calendarContainer,\"animate\",!0===w.config.animate),d(w.calendarContainer,\"multiMonth\",w.config.showMonths>1),w.calendarContainer.appendChild(e);var i=void 0!==w.config.appendTo&&void 0!==w.config.appendTo.nodeType;if((w.config.inline||w.config.static)&&(w.calendarContainer.classList.add(w.config.inline?\"inline\":\"static\"),w.config.inline&&(!i&&w.element.parentNode?w.element.parentNode.insertBefore(w.calendarContainer,w._input.nextSibling):void 0!==w.config.appendTo&&w.config.appendTo.appendChild(w.calendarContainer)),w.config.static)){var l=s(\"div\",\"flatpickr-wrapper\");w.element.parentNode&&w.element.parentNode.insertBefore(l,w.element),l.appendChild(w.element),w.altInput&&l.appendChild(w.altInput),l.appendChild(w.calendarContainer)}w.config.static||w.config.inline||(void 0!==w.config.appendTo?w.config.appendTo:window.document.body).appendChild(w.calendarContainer)}(),function(){if(w.config.wrap&&[\"open\",\"close\",\"toggle\",\"clear\"].forEach((function(e){Array.prototype.forEach.call(w.element.querySelectorAll(\"[data-\"+e+\"]\"),(function(n){return N(n,\"click\",w[e])}))})),w.isMobile)!function(){var 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u(v=w,r.cssClasses.target),0===r.dir?u(v,r.cssClasses.ltr):u(v,r.cssClasses.rtl),0===r.ort?u(v,r.cssClasses.horizontal):u(v,r.cssClasses.vertical),u(v,\"rtl\"===getComputedStyle(v).direction?r.cssClasses.textDirectionRtl:r.cssClasses.textDirectionLtr),l=L(v,r.cssClasses.base),function(t,e){var n=L(e,r.cssClasses.connects);f=[],(d=[]).push(H(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 .noUi-tooltip{display:block;}.bk-root .noUi-horizontal{width:100%;height:10px;}.bk-root 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r.MarkupView{render(){super.render(),this.model.render_as_text?this.markup_el.textContent=this.model.text:this.markup_el.innerHTML=this.model.text}}i.DivView=_,_.__name__=\"DivView\";class a extends r.Markup{constructor(e){super(e)}static init_Div(){this.prototype.default_view=_,this.define((({Boolean:e})=>({render_as_text:[e,!1]})))}}i.Div=a,a.__name__=\"Div\",a.init_Div()},\n", - " 444: function _(t,e,s,i,a){i();const n=t(1),l=t(224),r=t(43),c=t(488),u=n.__importStar(t(445));class _ extends c.WidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>{this.layout.invalidate_cache(),this.render(),this.root.compute_layout()}))}styles(){return[...super.styles(),u.default]}_update_layout(){this.layout=new l.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=r.div({class:u.clearfix,style:t}),this.el.appendChild(this.markup_el)}}s.MarkupView=_,_.__name__=\"MarkupView\";class o extends c.Widget{constructor(t){super(t)}static init_Markup(){this.define((({String:t,Dict:e})=>({text:[t,\"\"],style:[e(t),{}]})))}}s.Markup=o,o.__name__=\"Markup\",o.init_Markup()},\n", - " 445: function _(o,r,e,t,a){t(),e.root=\"bk-root\",e.clearfix=\"bk-clearfix\",e.default='.bk-root .bk-clearfix:before,.bk-root .bk-clearfix:after{content:\"\";display:table;}.bk-root .bk-clearfix:after{clear:both;}'},\n", - " 446: function _(e,t,i,n,s){n();const o=e(1),r=e(419),l=e(264),d=e(43),_=e(8),u=o.__importStar(e(328)),c=o.__importStar(e(243)),h=c;class p extends r.AbstractButtonView{constructor(){super(...arguments),this._open=!1}styles(){return[...super.styles(),c.default]}render(){super.render();const e=d.div({class:[h.caret,h.down]});if(this.model.is_split){const t=this._render_button(e);t.classList.add(u.dropdown_toggle),t.addEventListener(\"click\",(()=>this._toggle_menu())),this.group_el.appendChild(t)}else this.button_el.appendChild(e);const t=this.model.menu.map(((e,t)=>{if(null==e)return d.div({class:h.divider});{const i=_.isString(e)?e:e[0],n=d.div({},i);return n.addEventListener(\"click\",(()=>this._item_click(t))),n}}));this.menu=d.div({class:[h.menu,h.below]},t),this.el.appendChild(this.menu),d.undisplay(this.menu)}_show_menu(){if(!this._open){this._open=!0,d.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,d.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 l.ButtonClick),super.click()):this._toggle_menu()}_item_click(e){this._hide_menu();const t=this.model.menu[e];if(null!=t){const i=_.isString(t)?t:t[1];_.isString(i)?this.model.trigger_event(new l.MenuItemClick(i)):i.execute(this.model,{index:e})}}}i.DropdownView=p,p.__name__=\"DropdownView\";class m extends r.AbstractButton{constructor(e){super(e)}static init_Dropdown(){this.prototype.default_view=p,this.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)),[]]}))),this.override({label:\"Dropdown\"})}get is_split(){return this.split}}i.Dropdown=m,m.__name__=\"Dropdown\",m.init_Dropdown()},\n", - " 447: function _(e,i,l,t,s){t();const n=e(43),a=e(488);class o extends a.WidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.render()))}render(){const{multiple:e,accept:i,disabled:l,width:t}=this.model;null==this.dialog_el&&(this.dialog_el=n.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!=i&&\"\"!=i&&(this.dialog_el.accept=i),this.dialog_el.style.width=`${t}px`,this.dialog_el.disabled=l}async load_files(e){const i=[],l=[],t=[];for(const s of e){const e=await this._read_file(s),[,n=\"\",,a=\"\"]=e.split(/[:;,]/,4);i.push(a),l.push(s.name),t.push(n)}this.model.multiple?(this.model.value=i,this.model.filename=l,this.model.mime_type=t):(this.model.value=i[0],this.model.filename=l[0],this.model.mime_type=t[0])}_read_file(e){return new Promise(((i,l)=>{const t=new FileReader;t.onload=()=>{var s;const{result:n}=t;null!=n?i(n):l(null!==(s=t.error)&&void 0!==s?s:new Error(`unable to read 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c.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 r.isString(e)?t=i=e:[t,i]=e,o.option({value:t},i)}));this.input_el=o.select({multiple:!0,class:h.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 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_.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,delete_button:l,placeholder:s,options:o,name:n,title:h}=this.model.properties;this.on_change([e,t,i,l,s,o,n,h],(()=>this.render()))}styles(){return[...super.styles(),d.default]}_update_layout(){this.layout=new u.CachedVariadicBox(this.el),this.layout.set_sizing(this.box_sizing())}render(){super.render(),this.input_el=h.select({multiple:!0,class:c.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 a.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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s=Array.isArray(t);return s===Array.isArray(e)?s?i.arrayMerge(e,t,i):c(e,t,i):r(t,i)}l.all=function(e,t){if(!Array.isArray(e))throw new Error(\"first argument should be an array\");return e.reduce((function(e,i){return l(e,i,t)}),{})};var h=l;e.exports=h},function(e,t,i){\"use strict\";(function(e,n){var s,r=i(3);s=\"undefined\"!=typeof self?self:\"undefined\"!=typeof window?window:void 0!==e?e:n;var o=Object(r.a)(s);t.a=o}).call(this,i(5),i(6)(e))},function(e,t,i){\n", - " /*!\n", - " * Fuse.js v3.4.5 - Lightweight fuzzy-search (http://fusejs.io)\n", - " *\n", - " * Copyright (c) 2012-2017 Kirollos Risk (http://kiro.me)\n", - " * All Rights Reserved. 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: \"+(e+1)+\"px)\").matches:\"top\"===this.position&&(t=!0),t},t.setActiveDescendant=function(e){this.element.setAttribute(\"aria-activedescendant\",e)},t.removeActiveDescendant=function(){this.element.removeAttribute(\"aria-activedescendant\")},t.open=function(e){this.element.classList.add(this.classNames.openState),this.element.setAttribute(\"aria-expanded\",\"true\"),this.isOpen=!0,this.shouldFlip(e)&&(this.element.classList.add(this.classNames.flippedState),this.isFlipped=!0)},t.close=function(){this.element.classList.remove(this.classNames.openState),this.element.setAttribute(\"aria-expanded\",\"false\"),this.removeActiveDescendant(),this.isOpen=!1,this.isFlipped&&(this.element.classList.remove(this.classNames.flippedState),this.isFlipped=!1)},t.focus=function(){this.isFocussed||this.element.focus()},t.addFocusState=function(){this.element.classList.add(this.classNames.focusState)},t.removeFocusState=function(){this.element.classList.remove(this.classNames.focusState)},t.enable=function(){this.element.classList.remove(this.classNames.disabledState),this.element.removeAttribute(\"aria-disabled\"),this.type===oe&&this.element.setAttribute(\"tabindex\",\"0\"),this.isDisabled=!1},t.disable=function(){this.element.classList.add(this.classNames.disabledState),this.element.setAttribute(\"aria-disabled\",\"true\"),this.type===oe&&this.element.setAttribute(\"tabindex\",\"-1\"),this.isDisabled=!0},t.wrap=function(e){!function(e,t){void 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&&d.assert(t<=l,\"Invalid bounds, low must be inferior to high\"),null!=e&&null!=t&&(this.model.value=Math.max(e,t))})),this.connect(this.model.properties.high.change,(()=>{const{value:e,low:t,high:l}=this.model;null!=t&&null!=l&&d.assert(l>=t,\"Invalid bounds, high must be superior to low\"),null!=e&&null!=l&&(this.model.value=Math.min(e,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=a.input({type:\"text\",class:p.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=>_.test(e))):\"float\"==this.model.mode&&this._set_input_filter((e=>m.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=c,c.__name__=\"NumericInputView\";class v extends h.InputWidget{constructor(e){super(e)}static init_NumericInput(){this.prototype.default_view=c,this.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(o.TickFormatter))),null],low:[s(e),null],high:[s(e),null]})))}_formatter(e,t){return r.isString(t)?u.format(e,t):t.doFormat([e],{loc:0})[0]}pretty(e){return null!=this.format?this._formatter(e,this.format):`${e}`}}l.NumericInput=v,v.__name__=\"NumericInput\",v.init_NumericInput()},\n", - " 455: function _(e,t,r,s,i){s();const n=e(444),_=e(43);class a extends n.MarkupView{render(){super.render();const e=_.pre({style:{overflow:\"auto\"}},this.model.text);this.markup_el.appendChild(e)}}r.PreTextView=a,a.__name__=\"PreTextView\";class o extends n.Markup{constructor(e){super(e)}static init_PreText(){this.prototype.default_view=a}}r.PreText=o,o.__name__=\"PreText\",o.init_PreText()},\n", - " 456: function _(t,o,i,e,a){e();const n=t(1),u=t(430),s=t(43),c=n.__importStar(t(328));class _ extends u.ButtonGroupView{change_active(t){this.model.active!==t&&(this.model.active=t)}_update_active(){const{active:t}=this.model;this._buttons.forEach(((o,i)=>{s.classes(o).toggle(c.active,t===i)}))}}i.RadioButtonGroupView=_,_.__name__=\"RadioButtonGroupView\";class r extends u.ButtonGroup{constructor(t){super(t)}static init_RadioButtonGroup(){this.prototype.default_view=_,this.define((({Int:t,Nullable:o})=>({active:[o(t),null]})))}}i.RadioButtonGroup=r,r.__name__=\"RadioButtonGroup\",r.init_RadioButtonGroup()},\n", - " 457: function _(e,i,t,n,a){n();const s=e(1),o=e(43),l=e(34),d=e(432),p=s.__importStar(e(427));class u extends d.InputGroupView{render(){super.render();const e=o.div({class:[p.input_group,this.model.inline?p.inline:null]});this.el.appendChild(e);const i=l.uniqueId(),{active:t,labels:n}=this.model;this._inputs=[];for(let a=0;athis.change_active(a))),this._inputs.push(s),this.model.disabled&&(s.disabled=!0),a==t&&(s.checked=!0);const l=o.label({},s,o.span({},n[a]));e.appendChild(l)}}change_active(e){this.model.active=e}}t.RadioGroupView=u,u.__name__=\"RadioGroupView\";class r extends d.InputGroup{constructor(e){super(e)}static init_RadioGroup(){this.prototype.default_view=u,this.define((({Boolean:e,Int:i,String:t,Array:n,Nullable:a})=>({active:[a(i),null],labels:[n(t),[]],inline:[e,!1]})))}}t.RadioGroup=r,r.__name__=\"RadioGroup\",r.init_RadioGroup()},\n", - " 458: function _(e,t,i,r,a){r();const n=e(1).__importStar(e(183)),s=e(438),_=e(8);class d extends s.AbstractRangeSliderView{}i.RangeSliderView=d,d.__name__=\"RangeSliderView\";class o extends s.AbstractSlider{constructor(e){super(e),this.behaviour=\"drag\",this.connected=[!1,!0,!1]}static init_RangeSlider(){this.prototype.default_view=d,this.override({format:\"0[.]00\"})}_formatter(e,t){return _.isString(t)?n.format(e,t):t.compute(e)}}i.RangeSlider=o,o.__name__=\"RangeSlider\",o.init_RangeSlider()},\n", - " 459: function _(e,t,n,i,s){i();const l=e(1),u=e(43),a=e(8),o=e(13),_=e(426),p=l.__importStar(e(427));class r 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,(()=>{u.empty(this.input_el),u.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,i;return a.isString(t)?n=i=t:[n,i]=t,e.add(n),u.option({value:n},i)}))}e.clear();const{options:n}=this.model;return a.isArray(n)?t(n):o.entries(n).map((([e,n])=>u.optgroup({label:e},t(n))))}render(){super.render(),this.input_el=u.select({class:p.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=r,r.__name__=\"SelectView\";class c extends _.InputWidget{constructor(e){super(e)}static init_Select(){this.prototype.default_view=r,this.define((({String:e,Array:t,Tuple:n,Dict:i,Or:s})=>{const l=t(s(e,n(e,e)));return{value:[e,\"\"],options:[s(l,i(l)),[]]}}))}}n.Select=c,c.__name__=\"Select\",c.init_Select()},\n", - " 460: function _(t,e,i,r,s){r();const _=t(1).__importStar(t(183)),a=t(438),n=t(8);class o extends a.AbstractSliderView{}i.SliderView=o,o.__name__=\"SliderView\";class d extends a.AbstractSlider{constructor(t){super(t),this.behaviour=\"tap\",this.connected=[!0,!1]}static init_Slider(){this.prototype.default_view=o,this.override({format:\"0[.]00\"})}_formatter(t,e){return n.isString(e)?_.format(t,e):e.compute(t)}}i.Slider=d,d.__name__=\"Slider\",d.init_Slider()},\n", - " 461: function _(e,t,i,n,s){n();const l=e(454),o=e(43),{min:r,max:a,floor:h,abs:_}=Math;function u(e){return h(e)!==e?e.toFixed(16).replace(/0+$/,\"\").split(\".\")[1].length:0}class d extends l.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())o.toggle_attribute(e,\"disabled\",this.model.disabled)}))}render(){super.render(),this.wrapper_el=o.div({class:\"bk-spin-wrapper\"}),this.group_el.replaceChild(this.wrapper_el,this.input_el),this.btn_up_el=o.button({class:\"bk-spin-btn bk-spin-btn-up\"}),this.btn_down_el=o.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())o.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=u;return a(n(_(null!=e?e:0)),n(_(null!=t?t:0)),n(_(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 o.Keys.Up:return e.preventDefault(),this.increment(this.model.step);case o.Keys.Down:return e.preventDefault(),this.increment(-this.model.step);case o.Keys.PageUp:return e.preventDefault(),this.increment(this.model.page_step_multiplier*this.model.step);case o.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?r(0,i):0:e<0&&(this.model.value=null!=i?i:null!=t?a(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=d,d.__name__=\"SpinnerView\";class p extends l.NumericInput{constructor(e){super(e)}static init_Spinner(){this.prototype.default_view=d,this.define((({Number:e,Nullable:t})=>({value_throttled:[t(e),null],step:[e,1],page_step_multiplier:[e,10],wheel_wait:[e,100]}))),this.override({mode:\"float\"})}}i.Spinner=p,p.__name__=\"Spinner\",p.init_Spinner()},\n", - " 462: function _(e,t,s,n,i){n();const r=e(1),o=e(425),p=e(43),c=r.__importStar(e(427));class l extends o.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=p.textarea({class:c.input})}render(){super.render(),this.input_el.cols=this.model.cols,this.input_el.rows=this.model.rows}}s.TextAreaInputView=l,l.__name__=\"TextAreaInputView\";class _ extends o.TextLikeInput{constructor(e){super(e)}static init_TextAreaInput(){this.prototype.default_view=l,this.define((({Int:e})=>({cols:[e,20],rows:[e,2]}))),this.override({max_length:500})}}s.TextAreaInput=_,_.__name__=\"TextAreaInput\",_.init_TextAreaInput()},\n", - " 463: function _(e,t,i,s,c){s();const o=e(1),a=e(419),n=e(43),l=o.__importStar(e(328));class _ extends a.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(){n.classes(this.button_el).toggle(l.active,this.model.active)}}i.ToggleView=_,_.__name__=\"ToggleView\";class g extends a.AbstractButton{constructor(e){super(e)}static init_Toggle(){this.prototype.default_view=_,this.define((({Boolean:e})=>({active:[e,!1]}))),this.override({label:\"Toggle\"})}}i.Toggle=g,g.__name__=\"Toggle\",g.init_Toggle()},\n", - " }, 417, {\"models/widgets/main\":417,\"models/widgets/index\":418,\"models/widgets/abstract_button\":419,\"models/widgets/control\":420,\"models/widgets/widget\":488,\"models/widgets/abstract_icon\":422,\"models/widgets/autocomplete_input\":423,\"models/widgets/text_input\":424,\"models/widgets/text_like_input\":425,\"models/widgets/input_widget\":426,\"styles/widgets/inputs.css\":427,\"models/widgets/button\":428,\"models/widgets/checkbox_button_group\":429,\"models/widgets/button_group\":430,\"models/widgets/checkbox_group\":431,\"models/widgets/input_group\":432,\"models/widgets/color_picker\":433,\"models/widgets/date_picker\":434,\"styles/widgets/flatpickr.css\":436,\"models/widgets/date_range_slider\":437,\"models/widgets/abstract_slider\":438,\"styles/widgets/sliders.css\":440,\"styles/widgets/nouislider.css\":441,\"models/widgets/date_slider\":442,\"models/widgets/div\":443,\"models/widgets/markup\":444,\"styles/clearfix.css\":445,\"models/widgets/dropdown\":446,\"models/widgets/file_input\":447,\"models/widgets/multiselect\":448,\"models/widgets/paragraph\":449,\"models/widgets/password_input\":450,\"models/widgets/multichoice\":451,\"styles/widgets/choices.css\":453,\"models/widgets/numeric_input\":454,\"models/widgets/pretext\":455,\"models/widgets/radio_button_group\":456,\"models/widgets/radio_group\":457,\"models/widgets/range_slider\":458,\"models/widgets/selectbox\":459,\"models/widgets/slider\":460,\"models/widgets/spinner\":461,\"models/widgets/textarea_input\":462,\"models/widgets/toggle\":463}, {});});\n", - "\n", - " /* END bokeh-widgets.min.js */\n", - " },\n", - " \n", - " function(Bokeh) {\n", - " /* BEGIN bokeh-tables.min.js */\n", - " /*!\n", - " * Copyright (c) 2012 - 2021, 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\"], \"2.3.2\");\n", - " })(this, function(Bokeh, version) {\n", - " var 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", - " 464: function _(t,e,o,r,s){r();const _=t(1).__importStar(t(465));o.Tables=_;t(7).register_models(_)},\n", - " 465: function _(g,a,r,e,t){e();const o=g(1);o.__exportStar(g(466),r),o.__exportStar(g(469),r),t(\"DataTable\",g(472).DataTable),t(\"TableColumn\",g(490).TableColumn),t(\"TableWidget\",g(489).TableWidget);var n=g(492);t(\"AvgAggregator\",n.AvgAggregator),t(\"MinAggregator\",n.MinAggregator),t(\"MaxAggregator\",n.MaxAggregator),t(\"SumAggregator\",n.SumAggregator);var A=g(493);t(\"GroupingInfo\",A.GroupingInfo),t(\"DataCube\",A.DataCube)},\n", - " 466: function _(e,t,i,s,r){s();const a=e(1),n=e(43),l=e(240),u=e(53),d=e(467),o=a.__importStar(e(468));class _ extends l.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(o.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 n.Keys.Left:case n.Keys.Right:case n.Keys.Up:case n.Keys.Down:case n.Keys.PageUp:case n.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[d.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=_,_.__name__=\"CellEditorView\";class c extends u.Model{}i.CellEditor=c,c.__name__=\"CellEditor\";class p extends _{get emptyValue(){return\"\"}_createInput(){return n.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=p,p.__name__=\"StringEditorView\";class h extends c{static init_StringEditor(){this.prototype.default_view=p,this.define((({String:e,Array:t})=>({completions:[t(e),[]]})))}}i.StringEditor=h,h.__name__=\"StringEditor\",h.init_StringEditor();class E extends _{_createInput(){return n.textarea()}renderEditor(){this.inputEl.focus(),this.inputEl.select()}}i.TextEditorView=E,E.__name__=\"TextEditorView\";class V extends c{static init_TextEditor(){this.prototype.default_view=E}}i.TextEditor=V,V.__name__=\"TextEditor\",V.init_TextEditor();class m extends _{_createInput(){return n.select()}renderEditor(){for(const e of this.model.options)this.inputEl.appendChild(n.option({value:e},e));this.focus()}}i.SelectEditorView=m,m.__name__=\"SelectEditorView\";class f extends c{static init_SelectEditor(){this.prototype.default_view=m,this.define((({String:e,Array:t})=>({options:[t(e),[]]})))}}i.SelectEditor=f,f.__name__=\"SelectEditor\",f.init_SelectEditor();class x extends _{_createInput(){return n.input({type:\"text\"})}}i.PercentEditorView=x,x.__name__=\"PercentEditorView\";class g extends c{static init_PercentEditor(){this.prototype.default_view=x}}i.PercentEditor=g,g.__name__=\"PercentEditor\",g.init_PercentEditor();class w extends _{_createInput(){return n.input({type:\"checkbox\"})}renderEditor(){this.focus()}loadValue(e){this.defaultValue=!!e[this.args.column.field],this.inputEl.checked=this.defaultValue}serializeValue(){return this.inputEl.checked}}i.CheckboxEditorView=w,w.__name__=\"CheckboxEditorView\";class v extends c{static init_CheckboxEditor(){this.prototype.default_view=w}}i.CheckboxEditor=v,v.__name__=\"CheckboxEditor\",v.init_CheckboxEditor();class y extends _{_createInput(){return n.input({type:\"text\"})}renderEditor(){this.inputEl.focus(),this.inputEl.select()}remove(){super.remove()}serializeValue(){var e;return null!==(e=parseInt(this.getValue(),10))&&void 0!==e?e:0}loadValue(e){super.loadValue(e),this.inputEl.defaultValue=this.defaultValue,this.inputEl.select()}validateValue(e){return isNaN(e)?{valid:!1,msg:\"Please enter a valid integer\"}:super.validateValue(e)}}i.IntEditorView=y,y.__name__=\"IntEditorView\";class I extends c{static init_IntEditor(){this.prototype.default_view=y,this.define((({Int:e})=>({step:[e,1]})))}}i.IntEditor=I,I.__name__=\"IntEditor\",I.init_IntEditor();class b extends _{_createInput(){return n.input({type:\"text\"})}renderEditor(){this.inputEl.focus(),this.inputEl.select()}remove(){super.remove()}serializeValue(){var e;return null!==(e=parseFloat(this.getValue()))&&void 0!==e?e:0}loadValue(e){super.loadValue(e),this.inputEl.defaultValue=this.defaultValue,this.inputEl.select()}validateValue(e){return isNaN(e)?{valid:!1,msg:\"Please enter a valid number\"}:super.validateValue(e)}}i.NumberEditorView=b,b.__name__=\"NumberEditorView\";class N extends c{static init_NumberEditor(){this.prototype.default_view=b,this.define((({Number:e})=>({step:[e,.01]})))}}i.NumberEditor=N,N.__name__=\"NumberEditor\",N.init_NumberEditor();class S extends _{_createInput(){return n.input({type:\"text\"})}}i.TimeEditorView=S,S.__name__=\"TimeEditorView\";class C extends c{static init_TimeEditor(){this.prototype.default_view=S}}i.TimeEditor=C,C.__name__=\"TimeEditor\",C.init_TimeEditor();class D extends _{_createInput(){return n.input({type:\"text\"})}get emptyValue(){return new Date}renderEditor(){this.inputEl.focus(),this.inputEl.select()}destroy(){super.destroy()}show(){super.show()}hide(){super.hide()}position(){return super.position()}getValue(){}setValue(e){}}i.DateEditorView=D,D.__name__=\"DateEditorView\";class T extends c{static init_DateEditor(){this.prototype.default_view=D}}i.DateEditor=T,T.__name__=\"DateEditor\",T.init_DateEditor()},\n", - " 467: function _(_,n,i,t,d){t(),i.DTINDEX_NAME=\"__bkdt_internal_index__\"},\n", - " 468: function _(e,l,o,t,r){t(),o.root=\"bk-root\",o.data_table=\"bk-data-table\",o.cell_special_defaults=\"bk-cell-special-defaults\",o.cell_select=\"bk-cell-select\",o.cell_index=\"bk-cell-index\",o.header_index=\"bk-header-index\",o.cell_editor=\"bk-cell-editor\",o.cell_editor_completion=\"bk-cell-editor-completion\",o.default='.bk-root .bk-data-table{box-sizing:content-box;font-size:11px;}.bk-root .bk-data-table input[type=\"checkbox\"]{margin-left:4px;margin-right:4px;}.bk-root .bk-cell-special-defaults{border-right-color:silver;border-right-style:solid;background:#f5f5f5;}.bk-root .bk-cell-select{border-right-color:silver;border-right-style:solid;background:#f5f5f5;}.bk-root .slick-cell.bk-cell-index{border-right-color:silver;border-right-style:solid;background:#f5f5f5;text-align:right;background:#f0f0f0;color:#909090;}.bk-root .bk-header-index .slick-column-name{float:right;}.bk-root .slick-row.selected .bk-cell-index{background-color:transparent;}.bk-root .slick-row.odd{background:#f0f0f0;}.bk-root .slick-cell{padding-left:4px;padding-right:4px;border-right-color:transparent;border:0.25px solid transparent;}.bk-root .slick-cell .bk{line-height:inherit;}.bk-root .slick-cell.active{border-style:dashed;}.bk-root .slick-cell.selected{background-color:#F0F8FF;}.bk-root .slick-cell.editable{padding-left:0;padding-right:0;}.bk-root .bk-cell-editor{display:contents;}.bk-root .bk-cell-editor input,.bk-root .bk-cell-editor select{width:100%;height:100%;border:0;margin:0;padding:0;outline:0;background:transparent;vertical-align:baseline;}.bk-root .bk-cell-editor input{padding-left:4px;padding-right:4px;}.bk-root .bk-cell-editor-completion{font-size:11px;}'},\n", - " 469: function _(t,e,r,a,n){a();const i=t(1),o=i.__importDefault(t(181)),s=i.__importStar(t(183)),l=t(470),c=t(43),m=t(20),u=t(8),_=t(34),F=t(22),d=t(53);class f extends d.Model{constructor(t){super(t)}doFormat(t,e,r,a,n){return 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r=null!=r&&!isNaN(r)||null==l?s.format(r,i,o,c):l,super.doFormat(t,e,r,a,n)}}r.NumberFormatter=p,p.__name__=\"NumberFormatter\",p.init_NumberFormatter();class S extends f{constructor(t){super(t)}static init_BooleanFormatter(){this.define((({String:t})=>({icon:[t,\"check\"]})))}doFormat(t,e,r,a,n){return r?c.i({class:this.icon}).outerHTML:\"\"}}r.BooleanFormatter=S,S.__name__=\"BooleanFormatter\",S.init_BooleanFormatter();class b extends h{constructor(t){super(t)}static init_DateFormatter(){this.define((({String:t,Nullable:e})=>({format:[t,\"ISO-8601\"],nan_format:[e(t),null]})))}getFormat(){switch(this.format){case\"ATOM\":case\"W3C\":case\"RFC-3339\":case\"ISO-8601\":return\"%Y-%m-%d\";case\"COOKIE\":return\"%a, %d %b %Y\";case\"RFC-850\":return\"%A, %d-%b-%y\";case\"RFC-1123\":case\"RFC-2822\":return\"%a, %e %b %Y\";case\"RSS\":case\"RFC-822\":case\"RFC-1036\":return\"%a, %e %b %y\";case\"TIMESTAMP\":return;default:return this.format}}doFormat(t,e,r,a,n){const{nan_format:i}=this;let 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n=e(1),l=e(473),r=e(477),d=e(478),a=e(479),h=e(34),u=e(8),c=e(9),_=e(13),m=e(19),g=e(488),p=e(467),f=e(489),b=e(490),w=n.__importStar(e(468)),x=w,C=n.__importDefault(e(491));i.AutosizeModes={fit_columns:\"FCV\",fit_viewport:\"FVC\",force_fit:\"LFF\",none:\"NOA\"};let z=!1;class v{constructor(e,t){this.init(e,t)}init(e,t){if(p.DTINDEX_NAME in e.data)throw new Error(`special name ${p.DTINDEX_NAME} cannot be used as a data table column`);this.source=e,this.view=t,this.index=[...this.view.indices]}getLength(){return this.index.length}getItem(e){const t={};for(const i of _.keys(this.source.data))t[i]=this.source.data[i][this.index[e]];return t[p.DTINDEX_NAME]=this.index[e],t}getField(e,t){return t==p.DTINDEX_NAME?this.index[e]:this.source.data[t][this.index[e]]}setField(e,t,i){const s=this.index[e];this.source.patch({[t]:[[s,i]]})}getRecords(){return c.range(0,this.getLength()).map((e=>this.getItem(e)))}getItems(){return this.getRecords()}slice(e,t,i){return 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i=this.grid.getViewport(),s=this.model.get_scroll_index(i,t);null!=s&&this.grid.scrollRowToTop(s)}newIndexColumn(){return{id:h.uniqueId(),name:this.model.index_header,field:p.DTINDEX_NAME,width:this.model.index_width,behavior:\"select\",cannotTriggerInsert:!0,resizable:!1,selectable:!1,sortable:!0,cssClass:x.cell_index,headerCssClass:x.header_index}}css_classes(){return super.css_classes().concat(x.data_table)}get autosize(){let e;return e=!0===this.model.fit_columns?i.AutosizeModes.force_fit:!1===this.model.fit_columns?i.AutosizeModes.none:i.AutosizeModes[this.model.autosize_mode],e}render(){var e;const t=this.model.columns.map((e=>Object.assign(Object.assign({},e.toColumn()),{parent:this})));let s=null;if(\"checkbox\"==this.model.selectable&&(s=new r.CheckboxSelectColumn({cssClass:x.cell_select}),t.unshift(s.getColumnDefinition())),null!=this.model.index_position){const 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"outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Earthdata Login password: ········\n", - "['Invalid username or password, please retry.']\n", - "Please re-enter your Earthdata user ID: mhell\n", - "Earthdata Login password: ········\n" - ] - } - ], - "source": [ - "region_a.earthdata_login('username','mhell@ucsd.edu')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Discover Subsetting Options\n", - "\n", - "You can see what subsetting options are available for a given dataset by calling `show_custom_options()`. The options are presented as a series of headings followed by available values in square brackets. Headings are:\n", - "* **Subsetting Options**: whether or not temporal and spatial subsetting are available for the dataset\n", - "* **Data File Formats (Reformatting Options)**: return the data in a format other than the native hdf5 (submitted as a key=value kwarg to `order_granules(format='NetCDF4-CF')`)\n", - "* **Data File (Reformatting) Options Supporting Reprojection**: return the data in a reprojected reference frame. These options will be supported in the future for gridded ICESat-2 L3B datasets, once those are produced and made available.\n", - "* **Data File (Reformatting) Options NOT Supporting Reprojection**: data file formats that cannot be delivered with reprojection\n", - "* **Data Variables (also Subsettable)**: a dictionary of variable name keys and the paths to those variables available in the dataset" - ] - }, - { - "cell_type": "code", - "execution_count": 46, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Subsetting options\n", - "[{'id': 'ICESAT2',\n", - " 'maxGransAsyncRequest': '2000',\n", - " 'maxGransSyncRequest': '100',\n", - " 'spatialSubsetting': 'true',\n", - " 'spatialSubsettingShapefile': 'true',\n", - " 'temporalSubsetting': 'true',\n", - " 'type': 'both'}]\n", - "Data File Formats (Reformatting Options)\n", - "['TABULAR_ASCII', 'NetCDF4-CF', 'NetCDF-3']\n", - "Reprojection Options\n", - "[]\n", - "Data File (Reformatting) Options Supporting Reprojection\n", - "['TABULAR_ASCII', 'NetCDF4-CF', 'NetCDF-3']\n", - "Data File (Reformatting) Options NOT Supporting Reprojection\n", - "[]\n", - "Data Variables (also Subsettable)\n", - "{'addpad_flag': ['ancillary_data/gt1l/signal_find_input/addpad_flag',\n", - " 'ancillary_data/gt1r/signal_find_input/addpad_flag',\n", - " 'ancillary_data/gt2l/signal_find_input/addpad_flag',\n", - " 'ancillary_data/gt2r/signal_find_input/addpad_flag',\n", - " 'ancillary_data/gt3l/signal_find_input/addpad_flag',\n", - " 'ancillary_data/gt3r/signal_find_input/addpad_flag'],\n", - " 'alpha_inc': ['ancillary_data/gt1l/signal_find_input/alpha_inc',\n", - " 'ancillary_data/gt1r/signal_find_input/alpha_inc',\n", - " 'ancillary_data/gt2l/signal_find_input/alpha_inc',\n", - " 'ancillary_data/gt2r/signal_find_input/alpha_inc',\n", - " 'ancillary_data/gt3l/signal_find_input/alpha_inc',\n", - " 'ancillary_data/gt3r/signal_find_input/alpha_inc'],\n", - " 'alpha_max': ['ancillary_data/gt1l/signal_find_input/alpha_max',\n", - " 'ancillary_data/gt1r/signal_find_input/alpha_max',\n", - " 'ancillary_data/gt2l/signal_find_input/alpha_max',\n", - " 'ancillary_data/gt2r/signal_find_input/alpha_max',\n", - " 'ancillary_data/gt3l/signal_find_input/alpha_max',\n", - " 'ancillary_data/gt3r/signal_find_input/alpha_max'],\n", - " 'altitude_sc': ['gt1l/geolocation/altitude_sc',\n", - " 'gt1r/geolocation/altitude_sc',\n", - " 'gt2l/geolocation/altitude_sc',\n", - " 'gt2r/geolocation/altitude_sc',\n", - " 'gt3l/geolocation/altitude_sc',\n", - " 'gt3r/geolocation/altitude_sc'],\n", - " 'atl03_pad': ['ancillary_data/altimetry/atl03_pad'],\n", - " 'atlas_sdp_gps_epoch': ['ancillary_data/atlas_sdp_gps_epoch'],\n", - " 'band_tol': ['ancillary_data/altimetry/band_tol'],\n", - " 'bckgrd_counts': ['gt1l/bckgrd_atlas/bckgrd_counts',\n", - " 'gt1r/bckgrd_atlas/bckgrd_counts',\n", - " 'gt2l/bckgrd_atlas/bckgrd_counts',\n", - " 'gt2r/bckgrd_atlas/bckgrd_counts',\n", - " 'gt3l/bckgrd_atlas/bckgrd_counts',\n", - " 'gt3r/bckgrd_atlas/bckgrd_counts'],\n", - " 'bckgrd_counts_reduced': ['gt1l/bckgrd_atlas/bckgrd_counts_reduced',\n", - " 'gt1r/bckgrd_atlas/bckgrd_counts_reduced',\n", - " 'gt2l/bckgrd_atlas/bckgrd_counts_reduced',\n", - " 'gt2r/bckgrd_atlas/bckgrd_counts_reduced',\n", - " 'gt3l/bckgrd_atlas/bckgrd_counts_reduced',\n", - " 'gt3r/bckgrd_atlas/bckgrd_counts_reduced'],\n", - " 'bckgrd_hist_top': ['gt1l/bckgrd_atlas/bckgrd_hist_top',\n", - " 'gt1r/bckgrd_atlas/bckgrd_hist_top',\n", - " 'gt2l/bckgrd_atlas/bckgrd_hist_top',\n", - " 'gt2r/bckgrd_atlas/bckgrd_hist_top',\n", - " 'gt3l/bckgrd_atlas/bckgrd_hist_top',\n", - " 'gt3r/bckgrd_atlas/bckgrd_hist_top'],\n", - " 'bckgrd_int_height': ['gt1l/bckgrd_atlas/bckgrd_int_height',\n", - " 'gt1r/bckgrd_atlas/bckgrd_int_height',\n", - " 'gt2l/bckgrd_atlas/bckgrd_int_height',\n", - " 'gt2r/bckgrd_atlas/bckgrd_int_height',\n", - " 'gt3l/bckgrd_atlas/bckgrd_int_height',\n", - " 'gt3r/bckgrd_atlas/bckgrd_int_height'],\n", - " 'bckgrd_int_height_reduced': ['gt1l/bckgrd_atlas/bckgrd_int_height_reduced',\n", - " 'gt1r/bckgrd_atlas/bckgrd_int_height_reduced',\n", - " 'gt2l/bckgrd_atlas/bckgrd_int_height_reduced',\n", - 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" 'gt2r/signal_find_output/sea_ice/bckgrd_mean',\n", - " 'gt3l/signal_find_output/inlandwater/bckgrd_mean',\n", - " 'gt3l/signal_find_output/land/bckgrd_mean',\n", - " 'gt3l/signal_find_output/ocean/bckgrd_mean',\n", - " 'gt3l/signal_find_output/sea_ice/bckgrd_mean',\n", - " 'gt3r/signal_find_output/inlandwater/bckgrd_mean',\n", - " 'gt3r/signal_find_output/land/bckgrd_mean',\n", - " 'gt3r/signal_find_output/ocean/bckgrd_mean',\n", - " 'gt3r/signal_find_output/sea_ice/bckgrd_mean'],\n", - " 'bckgrd_rate': ['gt1l/bckgrd_atlas/bckgrd_rate',\n", - " 'gt1r/bckgrd_atlas/bckgrd_rate',\n", - " 'gt2l/bckgrd_atlas/bckgrd_rate',\n", - " 'gt2r/bckgrd_atlas/bckgrd_rate',\n", - " 'gt3l/bckgrd_atlas/bckgrd_rate',\n", - " 'gt3r/bckgrd_atlas/bckgrd_rate'],\n", - " 'bckgrd_sigma': ['gt1l/signal_find_output/inlandwater/bckgrd_sigma',\n", - " 'gt1l/signal_find_output/land/bckgrd_sigma',\n", - " 'gt1l/signal_find_output/ocean/bckgrd_sigma',\n", - " 'gt1l/signal_find_output/sea_ice/bckgrd_sigma',\n", - " 'gt1r/signal_find_output/inlandwater/bckgrd_sigma',\n", - " 'gt1r/signal_find_output/land/bckgrd_sigma',\n", - " 'gt1r/signal_find_output/ocean/bckgrd_sigma',\n", - " 'gt1r/signal_find_output/sea_ice/bckgrd_sigma',\n", - " 'gt2l/signal_find_output/inlandwater/bckgrd_sigma',\n", - " 'gt2l/signal_find_output/land/bckgrd_sigma',\n", - " 'gt2l/signal_find_output/ocean/bckgrd_sigma',\n", - " 'gt2l/signal_find_output/sea_ice/bckgrd_sigma',\n", - " 'gt2r/signal_find_output/inlandwater/bckgrd_sigma',\n", - " 'gt2r/signal_find_output/land/bckgrd_sigma',\n", - " 'gt2r/signal_find_output/ocean/bckgrd_sigma',\n", - " 'gt2r/signal_find_output/sea_ice/bckgrd_sigma',\n", - " 'gt3l/signal_find_output/inlandwater/bckgrd_sigma',\n", - " 'gt3l/signal_find_output/land/bckgrd_sigma',\n", - " 'gt3l/signal_find_output/ocean/bckgrd_sigma',\n", - " 'gt3l/signal_find_output/sea_ice/bckgrd_sigma',\n", - " 'gt3r/signal_find_output/inlandwater/bckgrd_sigma',\n", - " 'gt3r/signal_find_output/land/bckgrd_sigma',\n", - " 'gt3r/signal_find_output/ocean/bckgrd_sigma',\n", - " 'gt3r/signal_find_output/sea_ice/bckgrd_sigma'],\n", - " 'bin_width': ['ancillary_data/calibrations/low_link_impulse_response/bin_width'],\n", - " 'bounce_time_offset': ['gt1l/geolocation/bounce_time_offset',\n", - " 'gt1r/geolocation/bounce_time_offset',\n", - " 'gt2l/geolocation/bounce_time_offset',\n", - " 'gt2r/geolocation/bounce_time_offset',\n", - " 'gt3l/geolocation/bounce_time_offset',\n", - " 'gt3r/geolocation/bounce_time_offset'],\n", - " 'cal19_product': ['ancillary_data/calibrations/first_photon_bias/cal19_product'],\n", - " 'cal20_product': ['ancillary_data/calibrations/low_link_impulse_response/cal20_product'],\n", - " 'cal34_product': ['ancillary_data/calibrations/dead_time_radiometric_signal_loss/cal34_product'],\n", - " 'cal42_product': ['ancillary_data/calibrations/dead_time/cal42_product'],\n", - " 'control': ['ancillary_data/control'],\n", - " 'crossing_time': ['orbit_info/crossing_time'],\n", - " 'cycle_number': ['orbit_info/cycle_number'],\n", - " 'dac': ['gt1l/geophys_corr/dac',\n", - " 'gt1r/geophys_corr/dac',\n", - " 'gt2l/geophys_corr/dac',\n", - " 'gt2r/geophys_corr/dac',\n", - " 'gt3l/geophys_corr/dac',\n", - " 'gt3r/geophys_corr/dac'],\n", - " 'data_end_utc': ['ancillary_data/data_end_utc'],\n", - " 'data_start_utc': ['ancillary_data/data_start_utc'],\n", - " 'delta_t_gap_min': ['ancillary_data/gt1l/signal_find_input/delta_t_gap_min',\n", - " 'ancillary_data/gt1r/signal_find_input/delta_t_gap_min',\n", - " 'ancillary_data/gt2l/signal_find_input/delta_t_gap_min',\n", - " 'ancillary_data/gt2r/signal_find_input/delta_t_gap_min',\n", - " 'ancillary_data/gt3l/signal_find_input/delta_t_gap_min',\n", - " 'ancillary_data/gt3r/signal_find_input/delta_t_gap_min'],\n", - " 'delta_t_lin_fit': ['ancillary_data/gt1l/signal_find_input/delta_t_lin_fit',\n", - " 'ancillary_data/gt1r/signal_find_input/delta_t_lin_fit',\n", - " 'ancillary_data/gt2l/signal_find_input/delta_t_lin_fit',\n", - " 'ancillary_data/gt2r/signal_find_input/delta_t_lin_fit',\n", - " 'ancillary_data/gt3l/signal_find_input/delta_t_lin_fit',\n", - " 'ancillary_data/gt3r/signal_find_input/delta_t_lin_fit'],\n", - " 'delta_t_max': ['ancillary_data/gt1l/signal_find_input/delta_t_max',\n", - " 'ancillary_data/gt1r/signal_find_input/delta_t_max',\n", - " 'ancillary_data/gt2l/signal_find_input/delta_t_max',\n", - " 'ancillary_data/gt2r/signal_find_input/delta_t_max',\n", - " 'ancillary_data/gt3l/signal_find_input/delta_t_max',\n", - " 'ancillary_data/gt3r/signal_find_input/delta_t_max'],\n", - " 'delta_t_min': ['ancillary_data/gt1l/signal_find_input/delta_t_min',\n", - " 'ancillary_data/gt1r/signal_find_input/delta_t_min',\n", - " 'ancillary_data/gt2l/signal_find_input/delta_t_min',\n", - " 'ancillary_data/gt2r/signal_find_input/delta_t_min',\n", - " 'ancillary_data/gt3l/signal_find_input/delta_t_min',\n", - " 'ancillary_data/gt3r/signal_find_input/delta_t_min'],\n", - " 'delta_time': ['gt1l/bckgrd_atlas/delta_time',\n", - " 'gt1l/geolocation/delta_time',\n", - " 'gt1l/geophys_corr/delta_time',\n", - " 'gt1l/heights/delta_time',\n", - " 'gt1l/signal_find_output/inlandwater/delta_time',\n", - " 'gt1l/signal_find_output/land/delta_time',\n", - " 'gt1l/signal_find_output/ocean/delta_time',\n", - " 'gt1l/signal_find_output/sea_ice/delta_time',\n", - " 'gt1r/bckgrd_atlas/delta_time',\n", - " 'gt1r/geolocation/delta_time',\n", - " 'gt1r/geophys_corr/delta_time',\n", - " 'gt1r/heights/delta_time',\n", - " 'gt1r/signal_find_output/inlandwater/delta_time',\n", - " 'gt1r/signal_find_output/land/delta_time',\n", - " 'gt1r/signal_find_output/ocean/delta_time',\n", - " 'gt1r/signal_find_output/sea_ice/delta_time',\n", - " 'gt2l/bckgrd_atlas/delta_time',\n", - " 'gt2l/geolocation/delta_time',\n", - " 'gt2l/geophys_corr/delta_time',\n", - " 'gt2l/heights/delta_time',\n", - " 'gt2l/signal_find_output/inlandwater/delta_time',\n", - " 'gt2l/signal_find_output/land/delta_time',\n", - " 'gt2l/signal_find_output/ocean/delta_time',\n", - " 'gt2l/signal_find_output/sea_ice/delta_time',\n", - " 'gt2r/bckgrd_atlas/delta_time',\n", - " 'gt2r/geolocation/delta_time',\n", - " 'gt2r/geophys_corr/delta_time',\n", - " 'gt2r/heights/delta_time',\n", - " 'gt2r/signal_find_output/inlandwater/delta_time',\n", - " 'gt2r/signal_find_output/land/delta_time',\n", - " 'gt2r/signal_find_output/ocean/delta_time',\n", - " 'gt2r/signal_find_output/sea_ice/delta_time',\n", - " 'gt3l/bckgrd_atlas/delta_time',\n", - " 'gt3l/geolocation/delta_time',\n", - " 'gt3l/geophys_corr/delta_time',\n", - " 'gt3l/heights/delta_time',\n", - " 'gt3l/signal_find_output/inlandwater/delta_time',\n", - " 'gt3l/signal_find_output/land/delta_time',\n", - " 'gt3l/signal_find_output/ocean/delta_time',\n", - " 'gt3l/signal_find_output/sea_ice/delta_time',\n", - " 'gt3r/bckgrd_atlas/delta_time',\n", - " 'gt3r/geolocation/delta_time',\n", - " 'gt3r/geophys_corr/delta_time',\n", - " 'gt3r/heights/delta_time',\n", - " 'gt3r/signal_find_output/inlandwater/delta_time',\n", - " 'gt3r/signal_find_output/land/delta_time',\n", - " 'gt3r/signal_find_output/ocean/delta_time',\n", - " 'gt3r/signal_find_output/sea_ice/delta_time',\n", - " 'quality_assessment/delta_time'],\n", - " 'delta_z_bg': ['ancillary_data/gt1l/signal_find_input/delta_z_bg',\n", - " 'ancillary_data/gt1r/signal_find_input/delta_z_bg',\n", - " 'ancillary_data/gt2l/signal_find_input/delta_z_bg',\n", - " 'ancillary_data/gt2r/signal_find_input/delta_z_bg',\n", - " 'ancillary_data/gt3l/signal_find_input/delta_z_bg',\n", - " 'ancillary_data/gt3r/signal_find_input/delta_z_bg'],\n", - " 'delta_zmax2': ['ancillary_data/gt1l/signal_find_input/delta_zmax2',\n", - " 'ancillary_data/gt1r/signal_find_input/delta_zmax2',\n", - " 'ancillary_data/gt2l/signal_find_input/delta_zmax2',\n", - " 'ancillary_data/gt2r/signal_find_input/delta_zmax2',\n", - " 'ancillary_data/gt3l/signal_find_input/delta_zmax2',\n", - " 'ancillary_data/gt3r/signal_find_input/delta_zmax2'],\n", - " 'delta_zmin': ['ancillary_data/gt1l/signal_find_input/delta_zmin',\n", - " 'ancillary_data/gt1r/signal_find_input/delta_zmin',\n", - " 'ancillary_data/gt2l/signal_find_input/delta_zmin',\n", - " 'ancillary_data/gt2r/signal_find_input/delta_zmin',\n", - " 'ancillary_data/gt3l/signal_find_input/delta_zmin',\n", - " 'ancillary_data/gt3r/signal_find_input/delta_zmin'],\n", - " 'dem_flag': ['gt1l/geophys_corr/dem_flag',\n", - " 'gt1r/geophys_corr/dem_flag',\n", - " 'gt2l/geophys_corr/dem_flag',\n", - " 'gt2r/geophys_corr/dem_flag',\n", - " 'gt3l/geophys_corr/dem_flag',\n", - " 'gt3r/geophys_corr/dem_flag'],\n", - " 'dem_h': ['gt1l/geophys_corr/dem_h',\n", - " 'gt1r/geophys_corr/dem_h',\n", - " 'gt2l/geophys_corr/dem_h',\n", - " 'gt2r/geophys_corr/dem_h',\n", - " 'gt3l/geophys_corr/dem_h',\n", - " 'gt3r/geophys_corr/dem_h'],\n", - " 'det_ab_flag': ['ancillary_data/atlas_engineering/det_ab_flag'],\n", - " 'dist_ph_across': ['gt1l/heights/dist_ph_across',\n", - " 'gt1r/heights/dist_ph_across',\n", - " 'gt2l/heights/dist_ph_across',\n", - " 'gt2r/heights/dist_ph_across',\n", - " 'gt3l/heights/dist_ph_across',\n", - " 'gt3r/heights/dist_ph_across'],\n", - " 'dist_ph_along': ['gt1l/heights/dist_ph_along',\n", - " 'gt1r/heights/dist_ph_along',\n", - " 'gt2l/heights/dist_ph_along',\n", - " 'gt2r/heights/dist_ph_along',\n", - " 'gt3l/heights/dist_ph_along',\n", - " 'gt3r/heights/dist_ph_along'],\n", - " 'ds_channel': ['ancillary_data/calibrations/ds_channel'],\n", - " 'ds_gt': ['ancillary_data/atlas_engineering/ds_gt',\n", - " 'ancillary_data/tep/ds_gt'],\n", - " 'ds_stat': ['ancillary_data/atlas_engineering/ds_stat'],\n", - " 'ds_surf_type': ['ds_surf_type'],\n", - " 'ds_xyz': ['ds_xyz'],\n", - " 'e_a': ['ancillary_data/gt1l/signal_find_input/e_a',\n", - " 'ancillary_data/gt1r/signal_find_input/e_a',\n", - " 'ancillary_data/gt2l/signal_find_input/e_a',\n", - " 'ancillary_data/gt2r/signal_find_input/e_a',\n", - " 'ancillary_data/gt3l/signal_find_input/e_a',\n", - " 'ancillary_data/gt3r/signal_find_input/e_a'],\n", - " 'e_linfit_edit': ['ancillary_data/gt1l/signal_find_input/e_linfit_edit',\n", - " 'ancillary_data/gt1r/signal_find_input/e_linfit_edit',\n", - " 'ancillary_data/gt2l/signal_find_input/e_linfit_edit',\n", - " 'ancillary_data/gt2r/signal_find_input/e_linfit_edit',\n", - " 'ancillary_data/gt3l/signal_find_input/e_linfit_edit',\n", - " 'ancillary_data/gt3r/signal_find_input/e_linfit_edit'],\n", - " 'e_linfit_slant': ['ancillary_data/gt1l/signal_find_input/e_linfit_slant',\n", - " 'ancillary_data/gt1r/signal_find_input/e_linfit_slant',\n", - " 'ancillary_data/gt2l/signal_find_input/e_linfit_slant',\n", - " 'ancillary_data/gt2r/signal_find_input/e_linfit_slant',\n", - " 'ancillary_data/gt3l/signal_find_input/e_linfit_slant',\n", - " 'ancillary_data/gt3r/signal_find_input/e_linfit_slant'],\n", - " 'e_m': ['ancillary_data/gt1l/signal_find_input/e_m',\n", - " 'ancillary_data/gt1r/signal_find_input/e_m',\n", - " 'ancillary_data/gt2l/signal_find_input/e_m',\n", - " 'ancillary_data/gt2r/signal_find_input/e_m',\n", - " 'ancillary_data/gt3l/signal_find_input/e_m',\n", - " 'ancillary_data/gt3r/signal_find_input/e_m'],\n", - " 'e_m_mult': ['ancillary_data/gt1l/signal_find_input/e_m_mult',\n", - " 'ancillary_data/gt1r/signal_find_input/e_m_mult',\n", - " 'ancillary_data/gt2l/signal_find_input/e_m_mult',\n", - " 'ancillary_data/gt2r/signal_find_input/e_m_mult',\n", - " 'ancillary_data/gt3l/signal_find_input/e_m_mult',\n", - " 'ancillary_data/gt3r/signal_find_input/e_m_mult'],\n", - " 'end_cycle': ['ancillary_data/end_cycle'],\n", - " 'end_delta_time': ['ancillary_data/end_delta_time'],\n", - " 'end_geoseg': ['ancillary_data/end_geoseg'],\n", - " 'end_gpssow': ['ancillary_data/end_gpssow'],\n", - " 'end_gpsweek': ['ancillary_data/end_gpsweek'],\n", - " 'end_orbit': ['ancillary_data/end_orbit'],\n", - " 'end_region': ['ancillary_data/end_region'],\n", - " 'end_rgt': ['ancillary_data/end_rgt'],\n", - " 'full_sat_fract': ['gt1l/geolocation/full_sat_fract',\n", - " 'gt1r/geolocation/full_sat_fract',\n", - " 'gt2l/geolocation/full_sat_fract',\n", - " 'gt2r/geolocation/full_sat_fract',\n", - " 'gt3l/geolocation/full_sat_fract',\n", - " 'gt3r/geolocation/full_sat_fract'],\n", - " 'geoid': ['gt1l/geophys_corr/geoid',\n", - " 'gt1r/geophys_corr/geoid',\n", - " 'gt2l/geophys_corr/geoid',\n", - " 'gt2r/geophys_corr/geoid',\n", - " 'gt3l/geophys_corr/geoid',\n", - " 'gt3r/geophys_corr/geoid'],\n", - " 'geoid_free2mean': ['gt1l/geophys_corr/geoid_free2mean',\n", - " 'gt1r/geophys_corr/geoid_free2mean',\n", - " 'gt2l/geophys_corr/geoid_free2mean',\n", - " 'gt2r/geophys_corr/geoid_free2mean',\n", - " 'gt3l/geophys_corr/geoid_free2mean',\n", - " 'gt3r/geophys_corr/geoid_free2mean'],\n", - " 'granule_end_utc': ['ancillary_data/granule_end_utc'],\n", - " 'granule_start_utc': ['ancillary_data/granule_start_utc'],\n", - " 'gt1l': ['ancillary_data/calibrations/dead_time/gt1l',\n", - " 'ancillary_data/calibrations/dead_time/gt1l',\n", - " 'ancillary_data/calibrations/dead_time_radiometric_signal_loss/gt1l',\n", - " 'ancillary_data/calibrations/dead_time_radiometric_signal_loss/gt1l',\n", - " 'ancillary_data/calibrations/dead_time_radiometric_signal_loss/gt1l',\n", - " 'ancillary_data/calibrations/dead_time_radiometric_signal_loss/gt1l',\n", - " 'ancillary_data/calibrations/first_photon_bias/gt1l',\n", - " 'ancillary_data/calibrations/first_photon_bias/gt1l',\n", - " 'ancillary_data/calibrations/first_photon_bias/gt1l',\n", - " 'ancillary_data/calibrations/first_photon_bias/gt1l',\n", - " 'ancillary_data/calibrations/low_link_impulse_response/gt1l',\n", - " 'ancillary_data/calibrations/low_link_impulse_response/gt1l'],\n", - " 'gt1r': ['ancillary_data/calibrations/dead_time/gt1r',\n", - " 'ancillary_data/calibrations/dead_time/gt1r',\n", - " 'ancillary_data/calibrations/dead_time_radiometric_signal_loss/gt1r',\n", - " 'ancillary_data/calibrations/dead_time_radiometric_signal_loss/gt1r',\n", - " 'ancillary_data/calibrations/dead_time_radiometric_signal_loss/gt1r',\n", - " 'ancillary_data/calibrations/dead_time_radiometric_signal_loss/gt1r',\n", - " 'ancillary_data/calibrations/first_photon_bias/gt1r',\n", - " 'ancillary_data/calibrations/first_photon_bias/gt1r',\n", - " 'ancillary_data/calibrations/first_photon_bias/gt1r',\n", - " 'ancillary_data/calibrations/first_photon_bias/gt1r',\n", - " 'ancillary_data/calibrations/low_link_impulse_response/gt1r',\n", - " 'ancillary_data/calibrations/low_link_impulse_response/gt1r'],\n", - " 'gt2l': ['ancillary_data/calibrations/dead_time/gt2l',\n", - " 'ancillary_data/calibrations/dead_time/gt2l',\n", - " 'ancillary_data/calibrations/dead_time_radiometric_signal_loss/gt2l',\n", - " 'ancillary_data/calibrations/dead_time_radiometric_signal_loss/gt2l',\n", - " 'ancillary_data/calibrations/dead_time_radiometric_signal_loss/gt2l',\n", - " 'ancillary_data/calibrations/dead_time_radiometric_signal_loss/gt2l',\n", - " 'ancillary_data/calibrations/first_photon_bias/gt2l',\n", - " 'ancillary_data/calibrations/first_photon_bias/gt2l',\n", - " 'ancillary_data/calibrations/first_photon_bias/gt2l',\n", - " 'ancillary_data/calibrations/first_photon_bias/gt2l',\n", - " 'ancillary_data/calibrations/low_link_impulse_response/gt2l',\n", - " 'ancillary_data/calibrations/low_link_impulse_response/gt2l'],\n", - " 'gt2r': ['ancillary_data/calibrations/dead_time/gt2r',\n", - " 'ancillary_data/calibrations/dead_time/gt2r',\n", - " 'ancillary_data/calibrations/dead_time_radiometric_signal_loss/gt2r',\n", - " 'ancillary_data/calibrations/dead_time_radiometric_signal_loss/gt2r',\n", - " 'ancillary_data/calibrations/dead_time_radiometric_signal_loss/gt2r',\n", - " 'ancillary_data/calibrations/dead_time_radiometric_signal_loss/gt2r',\n", - " 'ancillary_data/calibrations/first_photon_bias/gt2r',\n", - " 'ancillary_data/calibrations/first_photon_bias/gt2r',\n", - " 'ancillary_data/calibrations/first_photon_bias/gt2r',\n", - " 'ancillary_data/calibrations/first_photon_bias/gt2r',\n", - " 'ancillary_data/calibrations/low_link_impulse_response/gt2r',\n", - " 'ancillary_data/calibrations/low_link_impulse_response/gt2r'],\n", - " 'gt3l': ['ancillary_data/calibrations/dead_time/gt3l',\n", - " 'ancillary_data/calibrations/dead_time/gt3l',\n", - " 'ancillary_data/calibrations/dead_time_radiometric_signal_loss/gt3l',\n", - " 'ancillary_data/calibrations/dead_time_radiometric_signal_loss/gt3l',\n", - " 'ancillary_data/calibrations/dead_time_radiometric_signal_loss/gt3l',\n", - " 'ancillary_data/calibrations/dead_time_radiometric_signal_loss/gt3l',\n", - " 'ancillary_data/calibrations/first_photon_bias/gt3l',\n", - " 'ancillary_data/calibrations/first_photon_bias/gt3l',\n", - " 'ancillary_data/calibrations/first_photon_bias/gt3l',\n", - " 'ancillary_data/calibrations/first_photon_bias/gt3l',\n", - " 'ancillary_data/calibrations/low_link_impulse_response/gt3l',\n", - " 'ancillary_data/calibrations/low_link_impulse_response/gt3l'],\n", - " 'gt3r': ['ancillary_data/calibrations/dead_time/gt3r',\n", - " 'ancillary_data/calibrations/dead_time/gt3r',\n", - " 'ancillary_data/calibrations/dead_time_radiometric_signal_loss/gt3r',\n", - " 'ancillary_data/calibrations/dead_time_radiometric_signal_loss/gt3r',\n", - " 'ancillary_data/calibrations/dead_time_radiometric_signal_loss/gt3r',\n", - " 'ancillary_data/calibrations/dead_time_radiometric_signal_loss/gt3r',\n", - " 'ancillary_data/calibrations/first_photon_bias/gt3r',\n", - " 'ancillary_data/calibrations/first_photon_bias/gt3r',\n", - " 'ancillary_data/calibrations/first_photon_bias/gt3r',\n", - " 'ancillary_data/calibrations/first_photon_bias/gt3r',\n", - " 'ancillary_data/calibrations/low_link_impulse_response/gt3r',\n", - " 'ancillary_data/calibrations/low_link_impulse_response/gt3r'],\n", - " 'h_ph': ['gt1l/heights/h_ph',\n", - " 'gt1r/heights/h_ph',\n", - " 'gt2l/heights/h_ph',\n", - " 'gt2r/heights/h_ph',\n", - " 'gt3l/heights/h_ph',\n", - " 'gt3r/heights/h_ph'],\n", - " 'hist_x': ['ancillary_data/calibrations/low_link_impulse_response/hist_x'],\n", - " 'htspanmin': ['ancillary_data/gt1l/signal_find_input/htspanmin',\n", - " 'ancillary_data/gt1r/signal_find_input/htspanmin',\n", - " 'ancillary_data/gt2l/signal_find_input/htspanmin',\n", - " 'ancillary_data/gt2r/signal_find_input/htspanmin',\n", - " 'ancillary_data/gt3l/signal_find_input/htspanmin',\n", - " 'ancillary_data/gt3r/signal_find_input/htspanmin'],\n", - " 'hvpc_ab_flag': ['ancillary_data/atlas_engineering/hvpc_ab_flag'],\n", - " 'lan': ['orbit_info/lan'],\n", - " 'laser': ['ancillary_data/calibrations/low_link_impulse_response/laser'],\n", - " 'laser_12_flag': ['ancillary_data/atlas_engineering/laser_12_flag'],\n", - " 'lat_ph': ['gt1l/heights/lat_ph',\n", - " 'gt1r/heights/lat_ph',\n", - " 'gt2l/heights/lat_ph',\n", - " 'gt2r/heights/lat_ph',\n", - " 'gt3l/heights/lat_ph',\n", - " 'gt3r/heights/lat_ph'],\n", - " 'lon_ph': ['gt1l/heights/lon_ph',\n", - " 'gt1r/heights/lon_ph',\n", - " 'gt2l/heights/lon_ph',\n", - " 'gt2r/heights/lon_ph',\n", - " 'gt3l/heights/lon_ph',\n", - " 'gt3r/heights/lon_ph'],\n", - " 'lrs_ab_flag': ['ancillary_data/atlas_engineering/lrs_ab_flag'],\n", - " 'lslant_flag': ['ancillary_data/gt1l/signal_find_input/lslant_flag',\n", - " 'ancillary_data/gt1r/signal_find_input/lslant_flag',\n", - " 'ancillary_data/gt2l/signal_find_input/lslant_flag',\n", - " 'ancillary_data/gt2r/signal_find_input/lslant_flag',\n", - " 'ancillary_data/gt3l/signal_find_input/lslant_flag',\n", - " 'ancillary_data/gt3r/signal_find_input/lslant_flag'],\n", - " 'min_fit_time_fact': ['ancillary_data/gt1l/signal_find_input/min_fit_time_fact',\n", - " 'ancillary_data/gt1r/signal_find_input/min_fit_time_fact',\n", - " 'ancillary_data/gt2l/signal_find_input/min_fit_time_fact',\n", - " 'ancillary_data/gt2r/signal_find_input/min_fit_time_fact',\n", - " 'ancillary_data/gt3l/signal_find_input/min_fit_time_fact',\n", - " 'ancillary_data/gt3r/signal_find_input/min_fit_time_fact'],\n", - " 'min_full_sat': ['ancillary_data/altimetry/min_full_sat'],\n", - " 'min_near_sat': ['ancillary_data/altimetry/min_near_sat'],\n", - " 'min_sat_h': ['ancillary_data/altimetry/min_sat_h'],\n", - " 'min_tep_ph': ['ancillary_data/tep/min_tep_ph'],\n", - " 'min_tep_secs': ['ancillary_data/tep/min_tep_secs'],\n", - " 'mode': ['ancillary_data/calibrations/low_link_impulse_response/mode'],\n", - " 'n_delta_z1': ['ancillary_data/gt1l/signal_find_input/n_delta_z1',\n", - " 'ancillary_data/gt1r/signal_find_input/n_delta_z1',\n", - " 'ancillary_data/gt2l/signal_find_input/n_delta_z1',\n", - " 'ancillary_data/gt2r/signal_find_input/n_delta_z1',\n", - " 'ancillary_data/gt3l/signal_find_input/n_delta_z1',\n", - " 'ancillary_data/gt3r/signal_find_input/n_delta_z1'],\n", - " 'n_delta_z2': ['ancillary_data/gt1l/signal_find_input/n_delta_z2',\n", - " 'ancillary_data/gt1r/signal_find_input/n_delta_z2',\n", - " 'ancillary_data/gt2l/signal_find_input/n_delta_z2',\n", - " 'ancillary_data/gt2r/signal_find_input/n_delta_z2',\n", - " 'ancillary_data/gt3l/signal_find_input/n_delta_z2',\n", - " 'ancillary_data/gt3r/signal_find_input/n_delta_z2'],\n", - " 'n_tep_bins': ['ancillary_data/tep/n_tep_bins'],\n", - " 'nbin_min': ['ancillary_data/gt1l/signal_find_input/nbin_min',\n", - " 'ancillary_data/gt1r/signal_find_input/nbin_min',\n", - " 'ancillary_data/gt2l/signal_find_input/nbin_min',\n", - " 'ancillary_data/gt2r/signal_find_input/nbin_min',\n", - " 'ancillary_data/gt3l/signal_find_input/nbin_min',\n", - " 'ancillary_data/gt3r/signal_find_input/nbin_min'],\n", - " 'near_sat_fract': ['gt1l/geolocation/near_sat_fract',\n", - " 'gt1r/geolocation/near_sat_fract',\n", - " 'gt2l/geolocation/near_sat_fract',\n", - " 'gt2r/geolocation/near_sat_fract',\n", - " 'gt3l/geolocation/near_sat_fract',\n", - " 'gt3r/geolocation/near_sat_fract'],\n", - " 'neutat_delay_derivative': ['gt1l/geolocation/neutat_delay_derivative',\n", - " 'gt1r/geolocation/neutat_delay_derivative',\n", - " 'gt2l/geolocation/neutat_delay_derivative',\n", - " 'gt2r/geolocation/neutat_delay_derivative',\n", - " 'gt3l/geolocation/neutat_delay_derivative',\n", - " 'gt3r/geolocation/neutat_delay_derivative'],\n", - " 'neutat_delay_total': ['gt1l/geolocation/neutat_delay_total',\n", - " 'gt1r/geolocation/neutat_delay_total',\n", - " 'gt2l/geolocation/neutat_delay_total',\n", - " 'gt2r/geolocation/neutat_delay_total',\n", - " 'gt3l/geolocation/neutat_delay_total',\n", - " 'gt3r/geolocation/neutat_delay_total'],\n", - " 'neutat_ht': ['gt1l/geolocation/neutat_ht',\n", - " 'gt1r/geolocation/neutat_ht',\n", - " 'gt2l/geolocation/neutat_ht',\n", - " 'gt2r/geolocation/neutat_ht',\n", - " 'gt3l/geolocation/neutat_ht',\n", - " 'gt3r/geolocation/neutat_ht'],\n", - " 'nphot_min': ['ancillary_data/gt1l/signal_find_input/nphot_min',\n", - " 'ancillary_data/gt1r/signal_find_input/nphot_min',\n", - " 'ancillary_data/gt2l/signal_find_input/nphot_min',\n", - " 'ancillary_data/gt2r/signal_find_input/nphot_min',\n", - " 'ancillary_data/gt3l/signal_find_input/nphot_min',\n", - " 'ancillary_data/gt3r/signal_find_input/nphot_min'],\n", - " 'nslw': ['ancillary_data/gt1l/signal_find_input/nslw',\n", - " 'ancillary_data/gt1r/signal_find_input/nslw',\n", - " 'ancillary_data/gt2l/signal_find_input/nslw',\n", - " 'ancillary_data/gt2r/signal_find_input/nslw',\n", - " 'ancillary_data/gt3l/signal_find_input/nslw',\n", - " 'ancillary_data/gt3r/signal_find_input/nslw'],\n", - " 'nslw_v': ['ancillary_data/gt1l/signal_find_input/nslw_v',\n", - " 'ancillary_data/gt1r/signal_find_input/nslw_v',\n", - " 'ancillary_data/gt2l/signal_find_input/nslw_v',\n", - " 'ancillary_data/gt2r/signal_find_input/nslw_v',\n", - " 'ancillary_data/gt3l/signal_find_input/nslw_v',\n", - " 'ancillary_data/gt3r/signal_find_input/nslw_v'],\n", - " 'num_bins': ['ancillary_data/calibrations/low_link_impulse_response/num_bins'],\n", - " 'orbit_number': ['orbit_info/orbit_number'],\n", - " 'out_edit_flag': ['ancillary_data/gt1l/signal_find_input/out_edit_flag',\n", - " 'ancillary_data/gt1r/signal_find_input/out_edit_flag',\n", - " 'ancillary_data/gt2l/signal_find_input/out_edit_flag',\n", - " 'ancillary_data/gt2r/signal_find_input/out_edit_flag',\n", - " 'ancillary_data/gt3l/signal_find_input/out_edit_flag',\n", - " 'ancillary_data/gt3r/signal_find_input/out_edit_flag'],\n", - " 'pc_bckgrd_flag': ['ancillary_data/gt1l/signal_find_input/pc_bckgrd_flag',\n", - " 'ancillary_data/gt1r/signal_find_input/pc_bckgrd_flag',\n", - " 'ancillary_data/gt2l/signal_find_input/pc_bckgrd_flag',\n", - " 'ancillary_data/gt2r/signal_find_input/pc_bckgrd_flag',\n", - " 'ancillary_data/gt3l/signal_find_input/pc_bckgrd_flag',\n", - " 'ancillary_data/gt3r/signal_find_input/pc_bckgrd_flag'],\n", - " 'pce_mframe_cnt': ['gt1l/bckgrd_atlas/pce_mframe_cnt',\n", - " 'gt1l/heights/pce_mframe_cnt',\n", - " 'gt1r/bckgrd_atlas/pce_mframe_cnt',\n", - " 'gt1r/heights/pce_mframe_cnt',\n", - " 'gt2l/bckgrd_atlas/pce_mframe_cnt',\n", - " 'gt2l/heights/pce_mframe_cnt',\n", - " 'gt2r/bckgrd_atlas/pce_mframe_cnt',\n", - " 'gt2r/heights/pce_mframe_cnt',\n", - " 'gt3l/bckgrd_atlas/pce_mframe_cnt',\n", - " 'gt3l/heights/pce_mframe_cnt',\n", - " 'gt3r/bckgrd_atlas/pce_mframe_cnt',\n", - " 'gt3r/heights/pce_mframe_cnt'],\n", - " 'pdu_ab_flag': ['ancillary_data/atlas_engineering/pdu_ab_flag'],\n", - " 'ph_id_channel': ['gt1l/heights/ph_id_channel',\n", - " 'gt1r/heights/ph_id_channel',\n", - " 'gt2l/heights/ph_id_channel',\n", - " 'gt2r/heights/ph_id_channel',\n", - " 'gt3l/heights/ph_id_channel',\n", - " 'gt3r/heights/ph_id_channel'],\n", - " 'ph_id_count': ['gt1l/heights/ph_id_count',\n", - " 'gt1r/heights/ph_id_count',\n", - " 'gt2l/heights/ph_id_count',\n", - " 'gt2r/heights/ph_id_count',\n", - " 'gt3l/heights/ph_id_count',\n", - " 'gt3r/heights/ph_id_count'],\n", - " 'ph_id_pulse': ['gt1l/heights/ph_id_pulse',\n", - " 'gt1r/heights/ph_id_pulse',\n", - " 'gt2l/heights/ph_id_pulse',\n", - " 'gt2r/heights/ph_id_pulse',\n", - " 'gt3l/heights/ph_id_pulse',\n", - " 'gt3r/heights/ph_id_pulse'],\n", - " 'ph_index_beg': ['gt1l/geolocation/ph_index_beg',\n", - " 'gt1r/geolocation/ph_index_beg',\n", - " 'gt2l/geolocation/ph_index_beg',\n", - " 'gt2r/geolocation/ph_index_beg',\n", - " 'gt3l/geolocation/ph_index_beg',\n", - " 'gt3r/geolocation/ph_index_beg'],\n", - " 'ph_sat_flag': ['ancillary_data/altimetry/ph_sat_flag'],\n", - " 'ph_sat_lb': ['ancillary_data/altimetry/ph_sat_lb'],\n", - " 'ph_sat_ub': ['ancillary_data/altimetry/ph_sat_ub'],\n", - " 'ph_uncorrelated_error': ['ancillary_data/atlas_engineering/ph_uncorrelated_error'],\n", - " 'pitch': ['gt1l/geolocation/pitch',\n", - " 'gt1r/geolocation/pitch',\n", - " 'gt2l/geolocation/pitch',\n", - " 'gt2r/geolocation/pitch',\n", - " 'gt3l/geolocation/pitch',\n", - " 'gt3r/geolocation/pitch'],\n", - " 'podppd_flag': ['gt1l/geolocation/podppd_flag',\n", - " 'gt1r/geolocation/podppd_flag',\n", - " 'gt2l/geolocation/podppd_flag',\n", - " 'gt2r/geolocation/podppd_flag',\n", - " 'gt3l/geolocation/podppd_flag',\n", - " 'gt3r/geolocation/podppd_flag'],\n", - " 'podppd_pad': ['ancillary_data/altimetry/podppd_pad'],\n", - " 'qa_granule_fail_reason': ['quality_assessment/qa_granule_fail_reason'],\n", - " 'qa_granule_pass_fail': ['quality_assessment/qa_granule_pass_fail'],\n", - " 'qa_perc_signal_conf_ph_high': ['quality_assessment/gt1l/qa_perc_signal_conf_ph_high',\n", - " 'quality_assessment/gt1r/qa_perc_signal_conf_ph_high',\n", - " 'quality_assessment/gt2l/qa_perc_signal_conf_ph_high',\n", - " 'quality_assessment/gt2r/qa_perc_signal_conf_ph_high',\n", - " 'quality_assessment/gt3l/qa_perc_signal_conf_ph_high',\n", - " 'quality_assessment/gt3r/qa_perc_signal_conf_ph_high'],\n", - " 'qa_perc_signal_conf_ph_low': ['quality_assessment/gt1l/qa_perc_signal_conf_ph_low',\n", - " 'quality_assessment/gt1r/qa_perc_signal_conf_ph_low',\n", - " 'quality_assessment/gt2l/qa_perc_signal_conf_ph_low',\n", - " 'quality_assessment/gt2r/qa_perc_signal_conf_ph_low',\n", - " 'quality_assessment/gt3l/qa_perc_signal_conf_ph_low',\n", - " 'quality_assessment/gt3r/qa_perc_signal_conf_ph_low'],\n", - " 'qa_perc_signal_conf_ph_med': ['quality_assessment/gt1l/qa_perc_signal_conf_ph_med',\n", - " 'quality_assessment/gt1r/qa_perc_signal_conf_ph_med',\n", - " 'quality_assessment/gt2l/qa_perc_signal_conf_ph_med',\n", - " 'quality_assessment/gt2r/qa_perc_signal_conf_ph_med',\n", - " 'quality_assessment/gt3l/qa_perc_signal_conf_ph_med',\n", - " 'quality_assessment/gt3r/qa_perc_signal_conf_ph_med'],\n", - " 'qa_perc_surf_type': ['quality_assessment/gt1l/qa_perc_surf_type',\n", - " 'quality_assessment/gt1r/qa_perc_surf_type',\n", - " 'quality_assessment/gt2l/qa_perc_surf_type',\n", - " 'quality_assessment/gt2r/qa_perc_surf_type',\n", - " 'quality_assessment/gt3l/qa_perc_surf_type',\n", - " 'quality_assessment/gt3r/qa_perc_surf_type'],\n", - " 'qa_total_signal_conf_ph_high': ['quality_assessment/gt1l/qa_total_signal_conf_ph_high',\n", - " 'quality_assessment/gt1r/qa_total_signal_conf_ph_high',\n", - " 'quality_assessment/gt2l/qa_total_signal_conf_ph_high',\n", - " 'quality_assessment/gt2r/qa_total_signal_conf_ph_high',\n", - " 'quality_assessment/gt3l/qa_total_signal_conf_ph_high',\n", - " 'quality_assessment/gt3r/qa_total_signal_conf_ph_high'],\n", - " 'qa_total_signal_conf_ph_low': ['quality_assessment/gt1l/qa_total_signal_conf_ph_low',\n", - " 'quality_assessment/gt1r/qa_total_signal_conf_ph_low',\n", - " 'quality_assessment/gt2l/qa_total_signal_conf_ph_low',\n", - " 'quality_assessment/gt2r/qa_total_signal_conf_ph_low',\n", - " 'quality_assessment/gt3l/qa_total_signal_conf_ph_low',\n", - " 'quality_assessment/gt3r/qa_total_signal_conf_ph_low'],\n", - " 'qa_total_signal_conf_ph_med': ['quality_assessment/gt1l/qa_total_signal_conf_ph_med',\n", - " 'quality_assessment/gt1r/qa_total_signal_conf_ph_med',\n", - " 'quality_assessment/gt2l/qa_total_signal_conf_ph_med',\n", - " 'quality_assessment/gt2r/qa_total_signal_conf_ph_med',\n", - " 'quality_assessment/gt3l/qa_total_signal_conf_ph_med',\n", - " 'quality_assessment/gt3r/qa_total_signal_conf_ph_med'],\n", - " 'quality_ph': ['gt1l/heights/quality_ph',\n", - " 'gt1r/heights/quality_ph',\n", - " 'gt2l/heights/quality_ph',\n", - " 'gt2r/heights/quality_ph',\n", - " 'gt3l/heights/quality_ph',\n", - " 'gt3r/heights/quality_ph'],\n", - " 'r': ['ancillary_data/gt1l/signal_find_input/r',\n", - " 'ancillary_data/gt1r/signal_find_input/r',\n", - " 'ancillary_data/gt2l/signal_find_input/r',\n", - " 'ancillary_data/gt2r/signal_find_input/r',\n", - " 'ancillary_data/gt3l/signal_find_input/r',\n", - " 'ancillary_data/gt3r/signal_find_input/r'],\n", - " 'r2': ['ancillary_data/gt1l/signal_find_input/r2',\n", - " 'ancillary_data/gt1r/signal_find_input/r2',\n", - " 'ancillary_data/gt2l/signal_find_input/r2',\n", - " 'ancillary_data/gt2r/signal_find_input/r2',\n", - " 'ancillary_data/gt3l/signal_find_input/r2',\n", - " 'ancillary_data/gt3r/signal_find_input/r2'],\n", - " 'range_bias_corr': ['gt1l/geolocation/range_bias_corr',\n", - " 'gt1r/geolocation/range_bias_corr',\n", - " 'gt2l/geolocation/range_bias_corr',\n", - " 'gt2r/geolocation/range_bias_corr',\n", - " 'gt3l/geolocation/range_bias_corr',\n", - " 'gt3r/geolocation/range_bias_corr'],\n", - " 'ref_azimuth': ['gt1l/geolocation/ref_azimuth',\n", - " 'gt1r/geolocation/ref_azimuth',\n", - " 'gt2l/geolocation/ref_azimuth',\n", - " 'gt2r/geolocation/ref_azimuth',\n", - " 'gt3l/geolocation/ref_azimuth',\n", - " 'gt3r/geolocation/ref_azimuth'],\n", - " 'ref_elev': ['gt1l/geolocation/ref_elev',\n", - " 'gt1r/geolocation/ref_elev',\n", - " 'gt2l/geolocation/ref_elev',\n", - " 'gt2r/geolocation/ref_elev',\n", - " 'gt3l/geolocation/ref_elev',\n", - " 'gt3r/geolocation/ref_elev'],\n", - " 'reference_photon_index': ['gt1l/geolocation/reference_photon_index',\n", - " 'gt1r/geolocation/reference_photon_index',\n", - " 'gt2l/geolocation/reference_photon_index',\n", - " 'gt2r/geolocation/reference_photon_index',\n", - " 'gt3l/geolocation/reference_photon_index',\n", - " 'gt3r/geolocation/reference_photon_index'],\n", - " 'reference_photon_lat': ['gt1l/geolocation/reference_photon_lat',\n", - " 'gt1r/geolocation/reference_photon_lat',\n", - " 'gt2l/geolocation/reference_photon_lat',\n", - " 'gt2r/geolocation/reference_photon_lat',\n", - " 'gt3l/geolocation/reference_photon_lat',\n", - " 'gt3r/geolocation/reference_photon_lat'],\n", - " 'reference_photon_lon': ['gt1l/geolocation/reference_photon_lon',\n", - " 'gt1r/geolocation/reference_photon_lon',\n", - " 'gt2l/geolocation/reference_photon_lon',\n", - " 'gt2r/geolocation/reference_photon_lon',\n", - " 'gt3l/geolocation/reference_photon_lon',\n", - " 'gt3r/geolocation/reference_photon_lon'],\n", - " 'reference_tep_flag': ['atlas_impulse_response/pce1_spot1/tep_histogram/reference_tep_flag',\n", - " 'atlas_impulse_response/pce2_spot3/tep_histogram/reference_tep_flag'],\n", - " 'release': ['ancillary_data/release'],\n", - " 'return_source': ['ancillary_data/calibrations/low_link_impulse_response/return_source'],\n", - " 'rgt': ['orbit_info/rgt'],\n", - " 'roll': ['gt1l/geolocation/roll',\n", - " 'gt1r/geolocation/roll',\n", - " 'gt2l/geolocation/roll',\n", - " 'gt2r/geolocation/roll',\n", - " 'gt3l/geolocation/roll',\n", - " 'gt3r/geolocation/roll'],\n", - " 'rx_bckgrd_sensitivity': ['ancillary_data/atlas_engineering/receiver/rx_bckgrd_sensitivity'],\n", - " 'rx_return_sensitivity': ['ancillary_data/atlas_engineering/receiver/rx_return_sensitivity'],\n", - " 'sc_orient': ['orbit_info/sc_orient'],\n", - " 'sc_orient_time': ['orbit_info/sc_orient_time'],\n", - " 'segment_dist_x': ['gt1l/geolocation/segment_dist_x',\n", - " 'gt1r/geolocation/segment_dist_x',\n", - " 'gt2l/geolocation/segment_dist_x',\n", - " 'gt2r/geolocation/segment_dist_x',\n", - " 'gt3l/geolocation/segment_dist_x',\n", - " 'gt3r/geolocation/segment_dist_x'],\n", - " 'segment_id': ['gt1l/geolocation/segment_id',\n", - " 'gt1r/geolocation/segment_id',\n", - " 'gt2l/geolocation/segment_id',\n", - " 'gt2r/geolocation/segment_id',\n", - " 'gt3l/geolocation/segment_id',\n", - " 'gt3r/geolocation/segment_id'],\n", - " 'segment_length': ['gt1l/geolocation/segment_length',\n", - " 'gt1r/geolocation/segment_length',\n", - " 'gt2l/geolocation/segment_length',\n", - " 'gt2r/geolocation/segment_length',\n", - " 'gt3l/geolocation/segment_length',\n", - " 'gt3r/geolocation/segment_length'],\n", - " 'segment_ph_cnt': ['gt1l/geolocation/segment_ph_cnt',\n", - " 'gt1r/geolocation/segment_ph_cnt',\n", - " 'gt2l/geolocation/segment_ph_cnt',\n", - " 'gt2r/geolocation/segment_ph_cnt',\n", - " 'gt3l/geolocation/segment_ph_cnt',\n", - " 'gt3r/geolocation/segment_ph_cnt'],\n", - " 'side': ['ancillary_data/calibrations/dead_time/side',\n", - " 'ancillary_data/calibrations/low_link_impulse_response/side'],\n", - " 'sig_find_t_inc': ['ancillary_data/gt1l/signal_find_input/sig_find_t_inc',\n", - " 'ancillary_data/gt1r/signal_find_input/sig_find_t_inc',\n", - " 'ancillary_data/gt2l/signal_find_input/sig_find_t_inc',\n", - " 'ancillary_data/gt2r/signal_find_input/sig_find_t_inc',\n", - " 'ancillary_data/gt3l/signal_find_input/sig_find_t_inc',\n", - " 'ancillary_data/gt3r/signal_find_input/sig_find_t_inc'],\n", - " 'sigma_across': ['gt1l/geolocation/sigma_across',\n", - " 'gt1r/geolocation/sigma_across',\n", - " 'gt2l/geolocation/sigma_across',\n", - " 'gt2r/geolocation/sigma_across',\n", - " 'gt3l/geolocation/sigma_across',\n", - " 'gt3r/geolocation/sigma_across'],\n", - " 'sigma_along': ['gt1l/geolocation/sigma_along',\n", - " 'gt1r/geolocation/sigma_along',\n", - " 'gt2l/geolocation/sigma_along',\n", - " 'gt2r/geolocation/sigma_along',\n", - " 'gt3l/geolocation/sigma_along',\n", - " 'gt3r/geolocation/sigma_along'],\n", - " 'sigma_h': ['gt1l/geolocation/sigma_h',\n", - " 'gt1r/geolocation/sigma_h',\n", - " 'gt2l/geolocation/sigma_h',\n", - " 'gt2r/geolocation/sigma_h',\n", - " 'gt3l/geolocation/sigma_h',\n", - " 'gt3r/geolocation/sigma_h'],\n", - " 'sigma_lat': ['gt1l/geolocation/sigma_lat',\n", - " 'gt1r/geolocation/sigma_lat',\n", - " 'gt2l/geolocation/sigma_lat',\n", - " 'gt2r/geolocation/sigma_lat',\n", - " 'gt3l/geolocation/sigma_lat',\n", - " 'gt3r/geolocation/sigma_lat'],\n", - " 'sigma_lon': ['gt1l/geolocation/sigma_lon',\n", - " 'gt1r/geolocation/sigma_lon',\n", - " 'gt2l/geolocation/sigma_lon',\n", - " 'gt2r/geolocation/sigma_lon',\n", - " 'gt3l/geolocation/sigma_lon',\n", - " 'gt3r/geolocation/sigma_lon'],\n", - " 'signal_conf_ph': ['gt1l/heights/signal_conf_ph',\n", - " 'gt1r/heights/signal_conf_ph',\n", - " 'gt2l/heights/signal_conf_ph',\n", - " 'gt2r/heights/signal_conf_ph',\n", - " 'gt3l/heights/signal_conf_ph',\n", - " 'gt3r/heights/signal_conf_ph'],\n", - " 'snrlow': ['ancillary_data/gt1l/signal_find_input/snrlow',\n", - " 'ancillary_data/gt1r/signal_find_input/snrlow',\n", - " 'ancillary_data/gt2l/signal_find_input/snrlow',\n", - " 'ancillary_data/gt2r/signal_find_input/snrlow',\n", - " 'ancillary_data/gt3l/signal_find_input/snrlow',\n", - " 'ancillary_data/gt3r/signal_find_input/snrlow'],\n", - " 'snrmed': ['ancillary_data/gt1l/signal_find_input/snrmed',\n", - " 'ancillary_data/gt1r/signal_find_input/snrmed',\n", - " 'ancillary_data/gt2l/signal_find_input/snrmed',\n", - " 'ancillary_data/gt2r/signal_find_input/snrmed',\n", - " 'ancillary_data/gt3l/signal_find_input/snrmed',\n", - " 'ancillary_data/gt3r/signal_find_input/snrmed'],\n", - " 'solar_azimuth': ['gt1l/geolocation/solar_azimuth',\n", - " 'gt1r/geolocation/solar_azimuth',\n", - " 'gt2l/geolocation/solar_azimuth',\n", - " 'gt2r/geolocation/solar_azimuth',\n", - " 'gt3l/geolocation/solar_azimuth',\n", - " 'gt3r/geolocation/solar_azimuth'],\n", - " 'solar_elevation': ['gt1l/geolocation/solar_elevation',\n", - " 'gt1r/geolocation/solar_elevation',\n", - " 'gt2l/geolocation/solar_elevation',\n", - " 'gt2r/geolocation/solar_elevation',\n", - " 'gt3l/geolocation/solar_elevation',\n", - " 'gt3r/geolocation/solar_elevation'],\n", - " 'spd_ab_flag': ['ancillary_data/atlas_engineering/spd_ab_flag'],\n", - " 'start_cycle': ['ancillary_data/start_cycle'],\n", - " 'start_delta_time': ['ancillary_data/start_delta_time'],\n", - " 'start_geoseg': ['ancillary_data/start_geoseg'],\n", - " 'start_gpssow': ['ancillary_data/start_gpssow'],\n", - " 'start_gpsweek': ['ancillary_data/start_gpsweek'],\n", - " 'start_orbit': ['ancillary_data/start_orbit'],\n", - " 'start_region': ['ancillary_data/start_region'],\n", - " 'start_rgt': ['ancillary_data/start_rgt'],\n", - " 'surf_type': ['gt1l/geolocation/surf_type',\n", - " 'gt1r/geolocation/surf_type',\n", - " 'gt2l/geolocation/surf_type',\n", - " 'gt2r/geolocation/surf_type',\n", - " 'gt3l/geolocation/surf_type',\n", - " 'gt3r/geolocation/surf_type'],\n", - " 't_gap_big': ['ancillary_data/gt1l/signal_find_input/t_gap_big',\n", - " 'ancillary_data/gt1r/signal_find_input/t_gap_big',\n", - " 'ancillary_data/gt2l/signal_find_input/t_gap_big',\n", - " 'ancillary_data/gt2r/signal_find_input/t_gap_big',\n", - " 'ancillary_data/gt3l/signal_find_input/t_gap_big',\n", - " 'ancillary_data/gt3r/signal_find_input/t_gap_big'],\n", - " 't_pc_delta': ['gt1l/signal_find_output/inlandwater/t_pc_delta',\n", - " 'gt1l/signal_find_output/land/t_pc_delta',\n", - " 'gt1l/signal_find_output/ocean/t_pc_delta',\n", - " 'gt1l/signal_find_output/sea_ice/t_pc_delta',\n", - " 'gt1r/signal_find_output/inlandwater/t_pc_delta',\n", - " 'gt1r/signal_find_output/land/t_pc_delta',\n", - " 'gt1r/signal_find_output/ocean/t_pc_delta',\n", - " 'gt1r/signal_find_output/sea_ice/t_pc_delta',\n", - " 'gt2l/signal_find_output/inlandwater/t_pc_delta',\n", - " 'gt2l/signal_find_output/land/t_pc_delta',\n", - " 'gt2l/signal_find_output/ocean/t_pc_delta',\n", - " 'gt2l/signal_find_output/sea_ice/t_pc_delta',\n", - " 'gt2r/signal_find_output/inlandwater/t_pc_delta',\n", - " 'gt2r/signal_find_output/land/t_pc_delta',\n", - " 'gt2r/signal_find_output/ocean/t_pc_delta',\n", - " 'gt2r/signal_find_output/sea_ice/t_pc_delta',\n", - " 'gt3l/signal_find_output/inlandwater/t_pc_delta',\n", - " 'gt3l/signal_find_output/land/t_pc_delta',\n", - " 'gt3l/signal_find_output/ocean/t_pc_delta',\n", - " 'gt3l/signal_find_output/sea_ice/t_pc_delta',\n", - " 'gt3r/signal_find_output/inlandwater/t_pc_delta',\n", - " 'gt3r/signal_find_output/land/t_pc_delta',\n", - " 'gt3r/signal_find_output/ocean/t_pc_delta',\n", - " 'gt3r/signal_find_output/sea_ice/t_pc_delta'],\n", - " 'tams_ab_flag': ['ancillary_data/atlas_engineering/tams_ab_flag'],\n", - " 'temperature': ['ancillary_data/calibrations/dead_time/temperature',\n", - " 'ancillary_data/calibrations/low_link_impulse_response/temperature'],\n", - " 'tep_bckgrd': ['atlas_impulse_response/pce1_spot1/tep_histogram/tep_bckgrd',\n", - " 'atlas_impulse_response/pce2_spot3/tep_histogram/tep_bckgrd'],\n", - " 'tep_bin_size': ['ancillary_data/tep/tep_bin_size'],\n", - " 'tep_duration': ['atlas_impulse_response/pce1_spot1/tep_histogram/tep_duration',\n", - " 'atlas_impulse_response/pce2_spot3/tep_histogram/tep_duration'],\n", - " 'tep_gap_size': ['ancillary_data/tep/tep_gap_size'],\n", - " 'tep_hist': ['atlas_impulse_response/pce1_spot1/tep_histogram/tep_hist',\n", - " 'atlas_impulse_response/pce2_spot3/tep_histogram/tep_hist'],\n", - " 'tep_hist_sum': ['atlas_impulse_response/pce1_spot1/tep_histogram/tep_hist_sum',\n", - " 'atlas_impulse_response/pce2_spot3/tep_histogram/tep_hist_sum'],\n", - " 'tep_hist_time': ['atlas_impulse_response/pce1_spot1/tep_histogram/tep_hist_time',\n", - " 'atlas_impulse_response/pce2_spot3/tep_histogram/tep_hist_time'],\n", - " 'tep_normalize': ['ancillary_data/tep/tep_normalize'],\n", - " 'tep_peak_bins': ['ancillary_data/tep/tep_peak_bins'],\n", - " 'tep_prim_window': ['ancillary_data/tep/tep_prim_window'],\n", - " 'tep_range_prim': ['ancillary_data/tep/tep_range_prim'],\n", - " 'tep_rm_noise': ['ancillary_data/tep/tep_rm_noise'],\n", - " 'tep_sec_window': ['ancillary_data/tep/tep_sec_window'],\n", - " 'tep_start_x': ['ancillary_data/tep/tep_start_x'],\n", - " 'tep_tod': ['atlas_impulse_response/pce1_spot1/tep_histogram/tep_tod',\n", - " 'atlas_impulse_response/pce2_spot3/tep_histogram/tep_tod'],\n", - " 'tep_valid_spot': ['ancillary_data/tep/tep_valid_spot'],\n", - " 'tide_earth': ['gt1l/geophys_corr/tide_earth',\n", - " 'gt1r/geophys_corr/tide_earth',\n", - " 'gt2l/geophys_corr/tide_earth',\n", - " 'gt2r/geophys_corr/tide_earth',\n", - " 'gt3l/geophys_corr/tide_earth',\n", - " 'gt3r/geophys_corr/tide_earth'],\n", - " 'tide_earth_free2mean': ['gt1l/geophys_corr/tide_earth_free2mean',\n", - " 'gt1r/geophys_corr/tide_earth_free2mean',\n", - " 'gt2l/geophys_corr/tide_earth_free2mean',\n", - " 'gt2r/geophys_corr/tide_earth_free2mean',\n", - " 'gt3l/geophys_corr/tide_earth_free2mean',\n", - " 'gt3r/geophys_corr/tide_earth_free2mean'],\n", - " 'tide_equilibrium': ['gt1l/geophys_corr/tide_equilibrium',\n", - " 'gt1r/geophys_corr/tide_equilibrium',\n", - " 'gt2l/geophys_corr/tide_equilibrium',\n", - " 'gt2r/geophys_corr/tide_equilibrium',\n", - " 'gt3l/geophys_corr/tide_equilibrium',\n", - " 'gt3r/geophys_corr/tide_equilibrium'],\n", - " 'tide_load': ['gt1l/geophys_corr/tide_load',\n", - " 'gt1r/geophys_corr/tide_load',\n", - " 'gt2l/geophys_corr/tide_load',\n", - " 'gt2r/geophys_corr/tide_load',\n", - " 'gt3l/geophys_corr/tide_load',\n", - " 'gt3r/geophys_corr/tide_load'],\n", - " 'tide_oc_pole': ['gt1l/geophys_corr/tide_oc_pole',\n", - " 'gt1r/geophys_corr/tide_oc_pole',\n", - " 'gt2l/geophys_corr/tide_oc_pole',\n", - " 'gt2r/geophys_corr/tide_oc_pole',\n", - " 'gt3l/geophys_corr/tide_oc_pole',\n", - " 'gt3r/geophys_corr/tide_oc_pole'],\n", - " 'tide_ocean': ['gt1l/geophys_corr/tide_ocean',\n", - " 'gt1r/geophys_corr/tide_ocean',\n", - " 'gt2l/geophys_corr/tide_ocean',\n", - " 'gt2r/geophys_corr/tide_ocean',\n", - " 'gt3l/geophys_corr/tide_ocean',\n", - " 'gt3r/geophys_corr/tide_ocean'],\n", - " 'tide_pole': ['gt1l/geophys_corr/tide_pole',\n", - " 'gt1r/geophys_corr/tide_pole',\n", - " 'gt2l/geophys_corr/tide_pole',\n", - " 'gt2r/geophys_corr/tide_pole',\n", - " 'gt3l/geophys_corr/tide_pole',\n", - " 'gt3r/geophys_corr/tide_pole'],\n", - " 'tlm_height_band1': ['gt1l/bckgrd_atlas/tlm_height_band1',\n", - " 'gt1r/bckgrd_atlas/tlm_height_band1',\n", - " 'gt2l/bckgrd_atlas/tlm_height_band1',\n", - " 'gt2r/bckgrd_atlas/tlm_height_band1',\n", - " 'gt3l/bckgrd_atlas/tlm_height_band1',\n", - " 'gt3r/bckgrd_atlas/tlm_height_band1'],\n", - " 'tlm_height_band2': ['gt1l/bckgrd_atlas/tlm_height_band2',\n", - " 'gt1r/bckgrd_atlas/tlm_height_band2',\n", - " 'gt2l/bckgrd_atlas/tlm_height_band2',\n", - " 'gt2r/bckgrd_atlas/tlm_height_band2',\n", - " 'gt3l/bckgrd_atlas/tlm_height_band2',\n", - " 'gt3r/bckgrd_atlas/tlm_height_band2'],\n", - " 'tlm_top_band1': ['gt1l/bckgrd_atlas/tlm_top_band1',\n", - " 'gt1r/bckgrd_atlas/tlm_top_band1',\n", - " 'gt2l/bckgrd_atlas/tlm_top_band1',\n", - " 'gt2r/bckgrd_atlas/tlm_top_band1',\n", - " 'gt3l/bckgrd_atlas/tlm_top_band1',\n", - " 'gt3r/bckgrd_atlas/tlm_top_band1'],\n", - " 'tlm_top_band2': ['gt1l/bckgrd_atlas/tlm_top_band2',\n", - " 'gt1r/bckgrd_atlas/tlm_top_band2',\n", - " 'gt2l/bckgrd_atlas/tlm_top_band2',\n", - " 'gt2r/bckgrd_atlas/tlm_top_band2',\n", - " 'gt3l/bckgrd_atlas/tlm_top_band2',\n", - " 'gt3r/bckgrd_atlas/tlm_top_band2'],\n", - " 'tx_pulse_distribution': ['ancillary_data/atlas_engineering/transmit/tx_pulse_distribution'],\n", - " 'tx_pulse_energy': ['ancillary_data/atlas_engineering/transmit/tx_pulse_energy',\n", - " 'gt1l/geolocation/tx_pulse_energy',\n", - " 'gt1r/geolocation/tx_pulse_energy',\n", - " 'gt2l/geolocation/tx_pulse_energy',\n", - " 'gt2r/geolocation/tx_pulse_energy',\n", - " 'gt3l/geolocation/tx_pulse_energy',\n", - " 'gt3r/geolocation/tx_pulse_energy'],\n", - " 'tx_pulse_skew_est': ['ancillary_data/atlas_engineering/transmit/tx_pulse_skew_est',\n", - " 'gt1l/geolocation/tx_pulse_skew_est',\n", - " 'gt1r/geolocation/tx_pulse_skew_est',\n", - " 'gt2l/geolocation/tx_pulse_skew_est',\n", - " 'gt2r/geolocation/tx_pulse_skew_est',\n", - " 'gt3l/geolocation/tx_pulse_skew_est',\n", - " 'gt3r/geolocation/tx_pulse_skew_est'],\n", - " 'tx_pulse_thresh_lower': ['ancillary_data/atlas_engineering/transmit/tx_pulse_thresh_lower'],\n", - " 'tx_pulse_thresh_upper': ['ancillary_data/atlas_engineering/transmit/tx_pulse_thresh_upper'],\n", - " 'tx_pulse_width_lower': ['ancillary_data/atlas_engineering/transmit/tx_pulse_width_lower',\n", - " 'gt1l/geolocation/tx_pulse_width_lower',\n", - " 'gt1r/geolocation/tx_pulse_width_lower',\n", - " 'gt2l/geolocation/tx_pulse_width_lower',\n", - " 'gt2r/geolocation/tx_pulse_width_lower',\n", - " 'gt3l/geolocation/tx_pulse_width_lower',\n", - " 'gt3r/geolocation/tx_pulse_width_lower'],\n", - " 'tx_pulse_width_upper': ['ancillary_data/atlas_engineering/transmit/tx_pulse_width_upper',\n", - " 'gt1l/geolocation/tx_pulse_width_upper',\n", - " 'gt1r/geolocation/tx_pulse_width_upper',\n", - " 'gt2l/geolocation/tx_pulse_width_upper',\n", - " 'gt2r/geolocation/tx_pulse_width_upper',\n", - " 'gt3l/geolocation/tx_pulse_width_upper',\n", - " 'gt3r/geolocation/tx_pulse_width_upper'],\n", - " 'velocity_sc': ['gt1l/geolocation/velocity_sc',\n", - " 'gt1r/geolocation/velocity_sc',\n", - " 'gt2l/geolocation/velocity_sc',\n", - " 'gt2r/geolocation/velocity_sc',\n", - " 'gt3l/geolocation/velocity_sc',\n", - " 'gt3r/geolocation/velocity_sc'],\n", - " 'version': ['ancillary_data/version'],\n", - " 'yaw': ['gt1l/geolocation/yaw',\n", - " 'gt1r/geolocation/yaw',\n", - " 'gt2l/geolocation/yaw',\n", - " 'gt2r/geolocation/yaw',\n", - " 'gt3l/geolocation/yaw',\n", - " 'gt3r/geolocation/yaw'],\n", - " 'z_pc_delta': ['gt1l/signal_find_output/inlandwater/z_pc_delta',\n", - " 'gt1l/signal_find_output/land/z_pc_delta',\n", - " 'gt1l/signal_find_output/ocean/z_pc_delta',\n", - " 'gt1l/signal_find_output/sea_ice/z_pc_delta',\n", - " 'gt1r/signal_find_output/inlandwater/z_pc_delta',\n", - " 'gt1r/signal_find_output/land/z_pc_delta',\n", - " 'gt1r/signal_find_output/ocean/z_pc_delta',\n", - " 'gt1r/signal_find_output/sea_ice/z_pc_delta',\n", - " 'gt2l/signal_find_output/inlandwater/z_pc_delta',\n", - " 'gt2l/signal_find_output/land/z_pc_delta',\n", - " 'gt2l/signal_find_output/ocean/z_pc_delta',\n", - " 'gt2l/signal_find_output/sea_ice/z_pc_delta',\n", - " 'gt2r/signal_find_output/inlandwater/z_pc_delta',\n", - " 'gt2r/signal_find_output/land/z_pc_delta',\n", - " 'gt2r/signal_find_output/ocean/z_pc_delta',\n", - " 'gt2r/signal_find_output/sea_ice/z_pc_delta',\n", - " 'gt3l/signal_find_output/inlandwater/z_pc_delta',\n", - " 'gt3l/signal_find_output/land/z_pc_delta',\n", - " 'gt3l/signal_find_output/ocean/z_pc_delta',\n", - " 'gt3l/signal_find_output/sea_ice/z_pc_delta',\n", - " 'gt3r/signal_find_output/inlandwater/z_pc_delta',\n", - " 'gt3r/signal_find_output/land/z_pc_delta',\n", - " 'gt3r/signal_find_output/ocean/z_pc_delta',\n", - " 'gt3r/signal_find_output/sea_ice/z_pc_delta']}\n" - ] - } - ], - "source": [ - "region_a.show_custom_options(dictview=True)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "By default, spatial and temporal subsetting based on your initial inputs is applied to your order unless you specify `subset=False` to `order_granules()` or `download_granules()` (which calls `order_granules` under the hood if you have not already placed your order) functions. Additional subsetting options must be specified as keyword arguments to the order/download functions.\n", - "\n", - "Although some file format conversions and reprojections are possible using the `format`, `projection`, and `projection_parameters` keywords, the rest of this tutorial will focus on variable subsetting, which is provided with the `Coverage` keyword. Note that as of June 2020, cryospheric ICESat-2 L3B datasets are not yet available, therefore no projection options currently exist." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### _Why do I have to provide spatial bounds to icepyx even if I don't use them to subset my data order?_\n", - "\n", - "Because they're still needed for the granule level search. Spatial inputs are usually required for any data search, on any platform, even if your search parameters cover the entire globe.\n", - "\n", - "The spatial information you provide is used to search the data repository and determine which granules might contain data over your area of interest. When you use that spatial information for subsetting, it's actually asking the NSIDC subsetter to extract the appropriate data from each granule. Thus, even if you set `subset=False` and download entire granules, you still need to provide some inputs on what geographic area you'd like data for." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## About Data Variables in an Icesat2Data object\n", - "There are two possible variable parameters associated with each ```icesat2data``` object.\n", - "1. `order_vars`, which is for interacting with variables during data querying, ordering, and downloading activities. `order_vars.wanted` holds the user's list to be submitted to the NSIDC subsetter and download a smaller, reproducible dataset.\n", - "2. `file_vars`, which is for interacting with variables associated with local files [not yet implemented].\n", - "\n", - "Each variables parameter (which is actually an associated Variables class object) has methods to:\n", - "* get available variables, either available from the NSIDC or the file (`avail()` method/attribute).\n", - "* append new variables to the wanted list (`append()` method).\n", - "* remove variables from the wanted list (`remove()` method).\n", - "\n", - "Each variables instance also has a set of attributes, including `avail` and `wanted` to indicate the list of variables that is available (unmutable, or unchangeable, as it is based on the input dataset specifications or files) and the list of variables that the user would like extracted (updateable with the `append` and `remove` methods), respectively. We'll showcase the use of all of these methods and attributes below." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### ICESat-2 data variables\n", - "ICESat-2 data is natively stored in a nested file format called hdf5. Much like a directory-file system on a computer, each variable (file) has a unique path through the heirarchy (directories) within the file. Thus, some variables (e.g. `'latitude'`, `'longitude'`) have multiple paths (one for each of the six beams in most datasets). \n", - "\n", - "To increase readability, some display options (2 and 3, below) show the 200+ variable + path combinations as a dictionary where the keys are variable names and the values are the paths to that variable.\n", - "\n", - "### Determine what variables are available\n", - "There are multiple ways to get a complete list of available variables.\n", - "\n", - "1. `region_a.order_vars.avail`, a list of all valid path+variable strings\n", - "2. `region_a.show_custom_options(dictview=True)`, all available subsetting and data transformation options, as you ran above\n", - "3. `region_a.order_vars.parse_var_list(region_a.order_vars.avail)`, a dictionary of variable:paths key:value pairs" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "data": { - "text/plain": [ - "['ds_surf_type',\n", - 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" 'quality_assessment/profile_2/surf_pct',\n", - " 'quality_assessment/profile_3/asr_avg',\n", - " 'quality_assessment/profile_3/asr_max',\n", - " 'quality_assessment/profile_3/asr_min',\n", - " 'quality_assessment/profile_3/asr_std',\n", - " 'quality_assessment/profile_3/cab_mol_avg',\n", - " 'quality_assessment/profile_3/cld_asr_pct',\n", - " 'quality_assessment/profile_3/cld_avg',\n", - " 'quality_assessment/profile_3/cld_max',\n", - " 'quality_assessment/profile_3/cld_min',\n", - " 'quality_assessment/profile_3/cld_pct',\n", - " 'quality_assessment/profile_3/cod_avg',\n", - " 'quality_assessment/profile_3/cod_max',\n", - " 'quality_assessment/profile_3/cod_min',\n", - " 'quality_assessment/profile_3/delta_time',\n", - " 'quality_assessment/profile_3/osr_avg',\n", - " 'quality_assessment/profile_3/osr_max',\n", - " 'quality_assessment/profile_3/osr_min',\n", - " 'quality_assessment/profile_3/surf_pct']" - ] - }, - "execution_count": 9, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "region_a.order_vars.avail()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "By passing the boolean `options=True` to the `avail` method, you can obtain lists of unique possible variable inputs (var_list inputs) and path subdirectory inputs (keyword_list and beam_list inputs) for your dataset. These can be helpful for building your wanted variable list." - ] - }, - { - "cell_type": "code", - "execution_count": 47, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "var_list inputs: ds_surf_type, ds_xyz, atlas_sdp_gps_epoch, control, data_end_utc, data_start_utc, end_cycle, end_delta_time, end_geoseg, end_gpssow, end_gpsweek, end_orbit, end_region, end_rgt, granule_end_utc, granule_start_utc, release, start_cycle, start_delta_time, start_geoseg, start_gpssow, start_gpsweek, start_orbit, start_region, start_rgt, version, atl03_pad, band_tol, min_full_sat, min_near_sat, min_sat_h, ph_sat_flag, ph_sat_lb, ph_sat_ub, podppd_pad, det_ab_flag, ds_gt, ds_stat, hvpc_ab_flag, laser_12_flag, lrs_ab_flag, pdu_ab_flag, ph_uncorrelated_error, spd_ab_flag, tams_ab_flag, rx_bckgrd_sensitivity, rx_return_sensitivity, tx_pulse_distribution, tx_pulse_energy, tx_pulse_skew_est, tx_pulse_thresh_lower, tx_pulse_thresh_upper, tx_pulse_width_lower, tx_pulse_width_upper, ds_channel, cal42_product, side, temperature, gt1l, gt1r, gt2l, gt2r, gt3l, gt3r, cal34_product, cal19_product, bin_width, cal20_product, hist_x, laser, mode, num_bins, return_source, addpad_flag, alpha_inc, alpha_max, delta_t_gap_min, delta_t_lin_fit, delta_t_max, delta_t_min, delta_z_bg, delta_zmax2, delta_zmin, e_a, e_linfit_edit, e_linfit_slant, e_m, e_m_mult, htspanmin, lslant_flag, min_fit_time_fact, nbin_min, n_delta_z1, n_delta_z2, nphot_min, nslw, nslw_v, out_edit_flag, pc_bckgrd_flag, r, r2, sig_find_t_inc, snrlow, snrmed, t_gap_big, min_tep_ph, min_tep_secs, n_tep_bins, tep_bin_size, tep_gap_size, tep_normalize, tep_peak_bins, tep_prim_window, tep_range_prim, tep_rm_noise, tep_sec_window, tep_start_x, tep_valid_spot, reference_tep_flag, tep_bckgrd, tep_duration, tep_hist, tep_hist_sum, tep_hist_time, tep_tod, bckgrd_counts, bckgrd_counts_reduced, bckgrd_hist_top, bckgrd_int_height, bckgrd_int_height_reduced, bckgrd_rate, delta_time, pce_mframe_cnt, tlm_height_band1, tlm_height_band2, tlm_top_band1, tlm_top_band2, altitude_sc, bounce_time_offset, full_sat_fract, near_sat_fract, neutat_delay_derivative, neutat_delay_total, neutat_ht, ph_index_beg, pitch, podppd_flag, range_bias_corr, ref_azimuth, ref_elev, reference_photon_index, reference_photon_lat, reference_photon_lon, roll, segment_dist_x, segment_id, segment_length, segment_ph_cnt, sigma_across, sigma_along, sigma_h, sigma_lat, sigma_lon, solar_azimuth, solar_elevation, surf_type, velocity_sc, yaw, dac, dem_flag, dem_h, geoid, geoid_free2mean, tide_earth, tide_earth_free2mean, tide_equilibrium, tide_load, tide_ocean, tide_oc_pole, tide_pole, dist_ph_across, dist_ph_along, h_ph, lat_ph, lon_ph, ph_id_channel, ph_id_count, ph_id_pulse, quality_ph, signal_conf_ph, bckgrd_mean, bckgrd_sigma, t_pc_delta, z_pc_delta, crossing_time, cycle_number, lan, orbit_number, rgt, sc_orient, sc_orient_time, qa_granule_fail_reason, qa_granule_pass_fail, qa_perc_signal_conf_ph_high, qa_perc_signal_conf_ph_low, qa_perc_signal_conf_ph_med, qa_perc_surf_type, qa_total_signal_conf_ph_high, qa_total_signal_conf_ph_low, qa_total_signal_conf_ph_med\n", - "keyword_list and beam_list inputs: altimetry, ancillary_data, atlas_engineering, atlas_impulse_response, bckgrd_atlas, calibrations, dead_time, dead_time_radiometric_signal_loss, first_photon_bias, geolocation, geophys_corr, gt1l, gt1r, gt2l, gt2r, gt3l, gt3r, heights, inlandwater, land, low_link_impulse_response, none, ocean, orbit_info, pce1_spot1, pce2_spot3, quality_assessment, receiver, sea_ice, signal_find_input, signal_find_output, tep, tep_histogram, transmit\n" - ] - } - ], - "source": [ - "region_a.order_vars.avail(options=True)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### _Why not just download all the data and subset locally? What if I need more variables/granules?_\n", - "\n", - "Taking advantage of the NSIDC subsetter is a great way to reduce your download size and thus your download time and the amount of storage required, especially if you're storing your data locally during analysis. By downloading your data using `icepyx`, it is easy to go back and get additional data with the same, similar, or different parameters (e.g. you can keep the same spatial and temporal bounds but change the variable list). Related tools (e.g. [`captoolkit`](https://github.com/fspaolo/captoolkit)) will let you easily merge files if you're uncomfortable merging them during read-in for processing." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Building your wanted variable list\n", - "\n", - "Now that you know which variables and path components are available for your dataset, you need to build a list of the ones you'd like included in your dataset. There are several options for generating your initial list as well as modifying it, giving the user complete control over the list submitted.\n", - "\n", - "The options for building your initial list are:\n", - "1. Use a default list for the dataset with the `defaults=True` keyword argument (not yet fully implemented across all datasets. Have a default variable list for your field/dataset? Submit a pull request or post it as an issue on [GitHub](https://github.com/icesat2py/icepyx)!)\n", - "2. Provide a list of variable names\n", - "3. Provide a list of profiles/beams or other path keywords, where \"keywords\" are simply the unique subdirectory names contained in the full variable paths of the dataset. A full list of available keywords for the dataset is displayed in the error message upon entering `keyword_list=['']` into the `append` function (see below for an example) or by running `region_a.order_vars.avail(options=True)`, as above\n", - "\n", - "**Note: all datasets have a short list of \"mandatory\" variables/paths (containing spacecraft orientation and time information needed to convert the data's `delta_time` to a readable datetime) that are automatically added to any built list. If you have any recommendations for other variables that should always be included (e.g. uncertainty information), please let us know!**\n", - "\n", - "Examples of using each method to build and modify your wanted variable list are below." - ] - }, - { - "cell_type": "code", - "execution_count": 48, - "metadata": {}, - "outputs": [], - "source": [ - "region_a.order_vars.wanted" - ] - }, - { - "cell_type": "code", - "execution_count": 49, - "metadata": { - "scrolled": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "THE REQUESTED DATASET DOES NOT YET HAVE A DEFAULT LIST SET UP. ONLY DELTA_TIME, LATITUTDE, AND LONGITUDE WILL BE RETURNED\n" - ] - }, - { - "ename": "KeyError", - "evalue": "'latitude'", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mregion_a\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0morder_vars\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdefaults\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 2\u001b[0m \u001b[0mpprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mregion_a\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0morder_vars\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwanted\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/opt/miniconda3/envs/py37/lib/python3.7/site-packages/icepyx/core/variables.py\u001b[0m in \u001b[0;36mappend\u001b[0;34m(self, defaults, var_list, beam_list, keyword_list)\u001b[0m\n\u001b[1;32m 433\u001b[0m \u001b[0;31m# Case only variables (but not keywords or beams) are specified\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 434\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mbeam_list\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;32mNone\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mkeyword_list\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 435\u001b[0;31m \u001b[0mreq_vars\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mupdate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_iter_vars\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msum_varlist\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mreq_vars\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvgrp\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 436\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 437\u001b[0m \u001b[0;31m# Case a beam and/or keyword list is specified (with or without variables)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/opt/miniconda3/envs/py37/lib/python3.7/site-packages/icepyx/core/variables.py\u001b[0m in \u001b[0;36m_iter_vars\u001b[0;34m(sum_varlist, req_vars, vgrp)\u001b[0m\n\u001b[1;32m 302\u001b[0m \"\"\"\n\u001b[1;32m 303\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mvn\u001b[0m \u001b[0;32min\u001b[0m \u001b[0msum_varlist\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 304\u001b[0;31m \u001b[0mreq_vars\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mvn\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mvgrp\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mvn\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 305\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mreq_vars\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 306\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mKeyError\u001b[0m: 'latitude'" - ] - } - ], - "source": [ - "region_a.order_vars.append(defaults=True)\n", - "pprint(region_a.order_vars.wanted)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Reminder: the keywords available for this dataset are shown in the error message upon entering a blank keyword_list, as seen in the next cell." - ] - }, - { - "cell_type": "code", - "execution_count": 53, - "metadata": {}, - "outputs": [], - "source": [ - "region_a.order_vars.append(keyword_list=['sea_ice', 'gt1l', 'gt1r', 'gt2l', 'gt2r', 'gt3l', 'gt3r', 'heights'])" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Modifying your wanted variable list\n", - "\n", - "Generating and modifying your variable request list, which is stored in `region_a.order_vars.wanted`, is controlled by the `append` and `remove` functions that operate on `region_a.order_vars.wanted`. The input options to `append` are as follows (the full documentation for this function can be found by executing `help(region_a.order_vars.append)`).\n", - "* `defaults` (default False) - include the default variable list for your dataset (not yet fully implemented for all datasets; please submit your default variable list for inclusion!)\n", - "* `var_list` (default None) - list of variables (entered as strings)\n", - "* `beam_list` (default None) - list of beams/profiles (entered as strings)\n", - "* `keyword_list` (default None) - list of keywords (entered as strings); use `keyword_list=['']` to obtain a list of available keywords\n", - "\n", - "Similarly, the options for `remove` are:\n", - "* `all` (default False) - reset `region_a.order_vars.wanted` to None\n", - "* `var_list` (as above)\n", - "* `beam_list` (as above)\n", - "* `keyword_list` (as above)" - ] - }, - { - "cell_type": "code", - "execution_count": 52, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "None\n" - ] - } - ], - "source": [ - "region_a.order_vars.remove(all=True)\n", - "pprint(region_a.order_vars.wanted)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Examples (Overview)\n", - "\n", - "Below are a series of examples to show how you can use `append` and `remove` to modify your wanted variable list. For clarity, `region_a.order_vars.wanted` is cleared at the start of many examples. However, multiple `append` and `remove` commands can be called in succession to build your wanted variable list (see Examples 3+)\n", - "\n", - "There are two example tracks. The first is for land ice (ATL06) data that is separated into beams. The second is for atmospheric data (ATL09) that is separated into profiles. Both example tracks showcase the same functionality and are provided for users of both data types." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "------------------\n", - "### Example Track 1 (Land Ice - run with ATL06 dataset)\n", - "\n", - "#### Example 1: choose variables\n", - "Add all `latitude` and `longitude` variables across all six beam groups. Note that the additional required variables for time and spacecraft orientation are included by default." - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{'apparent_surf_reflec': ['profile_1/high_rate/apparent_surf_reflec',\n", - " 'profile_2/high_rate/apparent_surf_reflec',\n", - " 'profile_3/high_rate/apparent_surf_reflec'],\n", - " 'atlas_sdp_gps_epoch': ['ancillary_data/atlas_sdp_gps_epoch'],\n", - " 'bsnow_con': ['profile_1/high_rate/bsnow_con',\n", - " 'profile_1/low_rate/bsnow_con',\n", - " 'profile_2/high_rate/bsnow_con',\n", - " 'profile_2/low_rate/bsnow_con',\n", - " 'profile_3/high_rate/bsnow_con',\n", - " 'profile_3/low_rate/bsnow_con'],\n", - " 'bsnow_dens': ['profile_1/high_rate/bsnow_dens',\n", - " 'profile_2/high_rate/bsnow_dens',\n", - " 'profile_3/high_rate/bsnow_dens'],\n", - " 'bsnow_h': ['profile_1/high_rate/bsnow_h',\n", - " 'profile_1/low_rate/bsnow_h',\n", - " 'profile_2/high_rate/bsnow_h',\n", - " 'profile_2/low_rate/bsnow_h',\n", - " 'profile_3/high_rate/bsnow_h',\n", - " 'profile_3/low_rate/bsnow_h'],\n", - " 'bsnow_od': ['profile_1/high_rate/bsnow_od',\n", - " 'profile_1/low_rate/bsnow_od',\n", - " 'profile_2/high_rate/bsnow_od',\n", - " 'profile_2/low_rate/bsnow_od',\n", - " 'profile_3/high_rate/bsnow_od',\n", - " 'profile_3/low_rate/bsnow_od'],\n", - " 'bsnow_psc': ['profile_1/high_rate/bsnow_psc',\n", - " 'profile_1/low_rate/bsnow_psc',\n", - " 'profile_2/high_rate/bsnow_psc',\n", - " 'profile_2/low_rate/bsnow_psc',\n", - " 'profile_3/high_rate/bsnow_psc',\n", - " 'profile_3/low_rate/bsnow_psc'],\n", - " 'cloud_flag_asr': ['profile_1/high_rate/cloud_flag_asr',\n", - " 'profile_2/high_rate/cloud_flag_asr',\n", - " 'profile_3/high_rate/cloud_flag_asr'],\n", - " 'cloud_flag_atm': ['profile_1/high_rate/cloud_flag_atm',\n", - " 'profile_2/high_rate/cloud_flag_atm',\n", - " 'profile_3/high_rate/cloud_flag_atm'],\n", - " 'cloud_fold_flag': ['profile_1/high_rate/cloud_fold_flag',\n", - " 'profile_2/high_rate/cloud_fold_flag',\n", - " 'profile_3/high_rate/cloud_fold_flag'],\n", - " 'column_od_asr': ['profile_1/high_rate/column_od_asr',\n", - " 'profile_2/high_rate/column_od_asr',\n", - " 'profile_3/high_rate/column_od_asr'],\n", - " 'column_od_asr_qf': ['profile_1/high_rate/column_od_asr_qf',\n", - " 'profile_2/high_rate/column_od_asr_qf',\n", - " 'profile_3/high_rate/column_od_asr_qf'],\n", - " 'data_end_utc': ['ancillary_data/data_end_utc'],\n", - " 'data_start_utc': ['ancillary_data/data_start_utc'],\n", - " 'delta_time': ['profile_1/bckgrd_atlas/delta_time',\n", - " 'profile_1/high_rate/delta_time',\n", - " 'profile_1/low_rate/delta_time',\n", - " 'profile_2/bckgrd_atlas/delta_time',\n", - " 'profile_2/high_rate/delta_time',\n", - " 'profile_2/low_rate/delta_time',\n", - " 'profile_3/bckgrd_atlas/delta_time',\n", - " 'profile_3/high_rate/delta_time',\n", - " 'profile_3/low_rate/delta_time',\n", - " 'quality_assessment/profile_1/delta_time',\n", - " 'quality_assessment/profile_2/delta_time',\n", - " 'quality_assessment/profile_3/delta_time'],\n", - " 'end_delta_time': ['ancillary_data/end_delta_time'],\n", - " 'granule_end_utc': ['ancillary_data/granule_end_utc'],\n", - " 'granule_start_utc': ['ancillary_data/granule_start_utc'],\n", - " 'latitude': ['profile_1/high_rate/latitude',\n", - " 'profile_1/low_rate/latitude',\n", - " 'profile_2/high_rate/latitude',\n", - " 'profile_2/low_rate/latitude',\n", - " 'profile_3/high_rate/latitude',\n", - " 'profile_3/low_rate/latitude'],\n", - " 'layer_attr': ['profile_1/high_rate/layer_attr',\n", - " 'profile_2/high_rate/layer_attr',\n", - " 'profile_3/high_rate/layer_attr'],\n", - " 'layer_bot': ['profile_1/high_rate/layer_bot',\n", - " 'profile_2/high_rate/layer_bot',\n", - " 'profile_3/high_rate/layer_bot'],\n", - " 'layer_dens': ['profile_1/high_rate/layer_dens',\n", - " 'profile_2/high_rate/layer_dens',\n", - " 'profile_3/high_rate/layer_dens'],\n", - " 'layer_flag': ['profile_1/high_rate/layer_flag',\n", - " 'profile_2/high_rate/layer_flag',\n", - " 'profile_3/high_rate/layer_flag'],\n", - " 'layer_ib': ['profile_1/high_rate/layer_ib',\n", - " 'profile_2/high_rate/layer_ib',\n", - " 'profile_3/high_rate/layer_ib'],\n", - " 'layer_top': ['profile_1/high_rate/layer_top',\n", - " 'profile_2/high_rate/layer_top',\n", - " 'profile_3/high_rate/layer_top'],\n", - " 'longitude': ['profile_1/high_rate/longitude',\n", - " 'profile_1/low_rate/longitude',\n", - " 'profile_2/high_rate/longitude',\n", - " 'profile_2/low_rate/longitude',\n", - " 'profile_3/high_rate/longitude',\n", - " 'profile_3/low_rate/longitude'],\n", - " 'msw_flag': ['profile_1/high_rate/msw_flag',\n", - " 'profile_2/high_rate/msw_flag',\n", - " 'profile_3/high_rate/msw_flag'],\n", - " 'prof_dist_x': ['profile_1/high_rate/prof_dist_x',\n", - " 'profile_2/high_rate/prof_dist_x',\n", - " 'profile_3/high_rate/prof_dist_x'],\n", - " 'prof_dist_y': ['profile_1/high_rate/prof_dist_y',\n", - " 'profile_2/high_rate/prof_dist_y',\n", - " 'profile_3/high_rate/prof_dist_y'],\n", - " 'sc_orient': ['orbit_info/sc_orient'],\n", - " 'sc_orient_time': ['orbit_info/sc_orient_time'],\n", - " 'start_delta_time': ['ancillary_data/start_delta_time']}\n" - ] - } - ], - "source": [ - "region_a.order_vars.append(var_list=['latitude','longitude'])\n", - "pprint(region_a.order_vars.wanted)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Example 2: specify beams and variable\n", - "Add `latitude` for only `gt1l` and `gt2l`" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "None\n" - ] - } - ], - "source": [ - "region_a.order_vars.remove(all=True)\n", - "pprint(region_a.order_vars.wanted)" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [ - { - "ename": "ValueError", - "evalue": "Invalid beam_id: gt1l. Please select from this list: profile_1, profile_2, profile_3", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mvar_dict\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mregion_a\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0morder_vars\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbeam_list\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'gt1l'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'gt2l'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvar_list\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'latitude'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 2\u001b[0m \u001b[0mpprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mregion_a\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0morder_vars\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwanted\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/opt/miniconda3/envs/py37/lib/python3.7/site-packages/icepyx/core/variables.py\u001b[0m in \u001b[0;36mappend\u001b[0;34m(self, defaults, var_list, beam_list, keyword_list)\u001b[0m\n\u001b[1;32m 406\u001b[0m \u001b[0mvgrp\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mallpaths\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mavail\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0moptions\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minternal\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 407\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 408\u001b[0;31m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_check_valid_lists\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvgrp\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mallpaths\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvar_list\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbeam_list\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkeyword_list\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 409\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 410\u001b[0m \u001b[0;31m# add the mandatory variables to the data object\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/opt/miniconda3/envs/py37/lib/python3.7/site-packages/icepyx/core/variables.py\u001b[0m in \u001b[0;36m_check_valid_lists\u001b[0;34m(self, vgrp, allpaths, var_list, beam_list, keyword_list)\u001b[0m\n\u001b[1;32m 250\u001b[0m \u001b[0merr_msg_beam\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0merr_msg_beam\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;34m\"Please select from this list: \"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 251\u001b[0m \u001b[0merr_msg_beam\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0merr_msg_beam\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;34m\", \"\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mjoin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbeam_avail\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 252\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0merr_msg_beam\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 253\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 254\u001b[0m \u001b[0;31m# check if keywords, if specified, are available for the dataset\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mValueError\u001b[0m: Invalid beam_id: gt1l. Please select from this list: profile_1, profile_2, profile_3" - ] - } - ], - "source": [ - "var_dict = region_a.order_vars.append(beam_list=['gt1l', 'gt2l'], var_list=['latitude'])\n", - "pprint(region_a.order_vars.wanted)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Example 3: add/remove selected beams+variables\n", - "Add `latitude` for `gt3l` and remove it for `gt2l`" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [ - { - "ename": "ValueError", - "evalue": "Invalid beam_id: gt3l. Please select from this list: profile_1, profile_2, profile_3", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mregion_a\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0morder_vars\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbeam_list\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'gt3l'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mvar_list\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'latitude'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 2\u001b[0m \u001b[0mregion_a\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0morder_vars\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mremove\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbeam_list\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'gt2l'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvar_list\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'latitude'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 3\u001b[0m \u001b[0mpprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mregion_a\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0morder_vars\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwanted\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/opt/miniconda3/envs/py37/lib/python3.7/site-packages/icepyx/core/variables.py\u001b[0m in \u001b[0;36mappend\u001b[0;34m(self, defaults, var_list, beam_list, keyword_list)\u001b[0m\n\u001b[1;32m 406\u001b[0m \u001b[0mvgrp\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mallpaths\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mavail\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0moptions\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minternal\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 407\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 408\u001b[0;31m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_check_valid_lists\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvgrp\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mallpaths\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvar_list\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbeam_list\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkeyword_list\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 409\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 410\u001b[0m \u001b[0;31m# add the mandatory variables to the data object\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/opt/miniconda3/envs/py37/lib/python3.7/site-packages/icepyx/core/variables.py\u001b[0m in \u001b[0;36m_check_valid_lists\u001b[0;34m(self, vgrp, allpaths, var_list, beam_list, keyword_list)\u001b[0m\n\u001b[1;32m 250\u001b[0m \u001b[0merr_msg_beam\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0merr_msg_beam\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;34m\"Please select from this list: \"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 251\u001b[0m \u001b[0merr_msg_beam\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0merr_msg_beam\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;34m\", \"\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mjoin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbeam_avail\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 252\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0merr_msg_beam\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 253\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 254\u001b[0m \u001b[0;31m# check if keywords, if specified, are available for the dataset\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mValueError\u001b[0m: Invalid beam_id: gt3l. Please select from this list: profile_1, profile_2, profile_3" - ] - } - ], - "source": [ - "region_a.order_vars.append(beam_list=['gt3l'],var_list=['latitude'])\n", - "region_a.order_vars.remove(beam_list=['gt2l'], var_list=['latitude'])\n", - "pprint(region_a.order_vars.wanted)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Example 4: `keyword_list`\n", - "Add `latitude` and `longitude` for all beams and with keyword `land_ice_segments`" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "region_a.order_vars.append(var_list=['latitude', 'longitude'],keyword_list=['land_ice_segments'])\n", - "pprint(region_a.order_vars.wanted)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Example 5: target a specific variable + path\n", - "Remove `gt1r/land_ice_segments/longitude` (but keep `gt1r/land_ice_segments/latitude`)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "region_a.order_vars.remove(beam_list=['gt1r'], var_list=['longitude'], keyword_list=['land_ice_segments'])\n", - "pprint(region_a.order_vars.wanted)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Example 6: add variables not specific to beams/profiles\n", - "Add `rgt` under `orbit_info`." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "region_a.order_vars.append(keyword_list=['orbit_info'],var_list=['rgt'])\n", - "pprint(region_a.order_vars.wanted)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Example 7: add all variables+paths of a group\n", - "In addition to adding specific variables and paths, we can filter all variables with a specific keyword as well. Here, we add all variables under `orbit_info`. Note that paths already in `region_a.order_vars.wanted`, such as `'orbit_info/rgt'`, are not duplicated." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "region_a.order_vars.append(keyword_list=['orbit_info'])\n", - "pprint(region_a.order_vars.wanted)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Example 8: add all possible values for variables+paths\n", - "Append all `longitude` paths and all variables/paths with keyword `land_ice_segments`.\n", - "\n", - "Similarly to what is shown in Example 4, if you submit only one `append` call as `region_a.order_vars.append(var_list=['longitude'], keyword_list=['land_ice_segments'])` rather than the two `append` calls shown below, you will only add the variable `longitude` and only paths containing `land_ice_segments`, not ALL paths for `longitude` and ANY variables with `land_ice_segments` in their path." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "scrolled": true - }, - "outputs": [], - "source": [ - "region_a.order_vars.append(var_list=['longitude'])\n", - "region_a.order_vars.append(keyword_list=['land_ice_segments'])\n", - "pprint(region_a.order_vars.wanted)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Example 9: remove all variables+paths associated with a beam\n", - "Remove all paths for `gt1l` and `gt3r`" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "scrolled": true - }, - "outputs": [], - "source": [ - "region_a.order_vars.remove(beam_list=['gt1l','gt3r'])\n", - "pprint(region_a.order_vars.wanted)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Example 10: generate a default list for the rest of the tutorial\n", - "Generate a reasonable variable list prior to download" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "region_a.order_vars.remove(all=True)\n", - "region_a.order_vars.append(defaults=True)\n", - "pprint(region_a.order_vars.wanted)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "------------------\n", - "### Example Track 2 (Atmosphere - run with ATL09 dataset commented out at the start of the notebook)\n", - "\n", - "#### Example 1: choose variables\n", - "Add all `latitude` and `longitude` variables" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "region_a.order_vars.append(var_list=['latitude','longitude'])\n", - "pprint(region_a.order_vars.wanted)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Example 2: specify beams/profiles and variable\n", - "Add `latitude` for only `profile_1` and `profile_2`" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "region_a.order_vars.remove(all=True)\n", - "pprint(region_a.order_vars.wanted)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "var_dict = region_a.order_vars.append(beam_list=['profile_1','profile_2'], var_list=['latitude'])\n", - "pprint(region_a.order_vars.wanted)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Example 3: add/remove selected beams+variables\n", - "Add `latitude` for `profile_3` and remove it for `profile_2`" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "region_a.order_vars.append(beam_list=['profile_3'],var_list=['latitude'])\n", - "region_a.order_vars.remove(beam_list=['profile_2'], var_list=['latitude'])\n", - "pprint(region_a.order_vars.wanted)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Example 4: `keyword_list`\n", - "Add `latitude` for all profiles and with keyword `low_rate`" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "region_a.order_vars.append(var_list=['latitude'],keyword_list=['low_rate'])\n", - "pprint(region_a.order_vars.wanted)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Example 5: target a specific variable + path\n", - "Remove `'profile_1/high_rate/latitude'` (but keep `'profile_3/high_rate/latitude'`)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "region_a.order_vars.remove(beam_list=['profile_1'], var_list=['latitude'], keyword_list=['high_rate'])\n", - "pprint(region_a.order_vars.wanted)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Example 6: add variables not specific to beams/profiles\n", - "Add `rgt` under `orbit_info`." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "region_a.order_vars.append(keyword_list=['orbit_info'],var_list=['rgt'])\n", - "pprint(region_a.order_vars.wanted)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Example 7: add all variables+paths of a group\n", - "In addition to adding specific variables and paths, we can filter all variables with a specific keyword as well. Here, we add all variables under `orbit_info`. Note that paths already in `region_a.order_vars.wanted`, such as `'orbit_info/rgt'`, are not duplicated." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "region_a.order_vars.append(keyword_list=['orbit_info'])\n", - "pprint(region_a.order_vars.wanted)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Example 8: add all possible values for variables+paths\n", - "Append all `longitude` paths and all variables/paths with keyword `high_rate`.\n", - "Simlarly to what is shown in Example 4, if you submit only one `append` call as `region_a.order_vars.append(var_list=['longitude'], keyword_list=['high_rate'])` rather than the two `append` calls shown below, you will only add the variable `longitude` and only paths containing `high_rate`, not ALL paths for `longitude` and ANY variables with `high_rate` in their path." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "region_a.order_vars.append(var_list=['longitude'])\n", - "region_a.order_vars.append(keyword_list=['high_rate'])\n", - "pprint(region_a.order_vars.wanted)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Example 9: remove all variables+paths associated with a beam\n", - "Remove all paths for `profile_1` and `profile_3`" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "region_a.order_vars.remove(beam_list=['profile_1','profile_3'])\n", - "pprint(region_a.order_vars.wanted)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Example 10: generate a default list for the rest of the tutorial\n", - "Generate a reasonable variable list prior to download" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "region_a.order_vars.remove(all=True)\n", - "region_a.order_vars.append(defaults=True)\n", - "pprint(region_a.order_vars.wanted)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Applying variable subsetting to your order and download\n", - "\n", - "In order to have your wanted variable list included with your order, you must pass it as a keyword argument to the `subsetparams()` attribute or the `order_granules()` or `download_granules()` (which calls `order_granules` under the hood if you have not already placed your order) functions." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "region_a.subsetparams(Coverage=region_a.order_vars.wanted)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Or, you can put the `Coverage` parameter directly into `order_granules`:\n", - "`region_a.order_granules(Coverage=region_a.order_vars.wanted)`\n", - "\n", - "However, then you cannot view your subset parameters (`region_a.subsetparams`) prior to submitting your order." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "region_a.order_granules()# <-- you do not need to include the 'Coverage' kwarg to\n", - " # order if you have already included it in a call to subsetparams" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "path = './download'\n", - "region_a.download_granules(path) # <-- you do not need to include the 'Coverage' kwarg to\n", - " # download if you have already submitted it with your order" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### _Why does the subsetter say no matching data was found?_\n", - "Sometimes, granules (\"files\") returned in our initial search end up not containing any data in our specified area of interest. This is because the initial search is completed using summary metadata for a granule. You've likely encountered this before when viewing available imagery online: your spatial search turns up a bunch of images with only a few border or corner pixels, maybe even in no data regions, in your area of interest. Thus, when you go to extract the data from the area you want (i.e. spatially subset it), you don't get any usable data from that image. Note that as of June 2020 this error message produced by the NSIDC subsetter is currently being modified to reflect this behavior as more of an informational warning as opposed to an error. " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Check the variable list in your downloaded file\n", - "\n", - "Compare the available variables associated with the full dataset relative to those in your downloaded data file." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# put the full filepath to a data file here. You can get this in JupyterHub by navigating to the file,\n", - "# right clicking, and selecting copy path. Then you can paste the path in the second set of quotes below.\n", - "fn = '/home/jovyan/' + 'data-access/notebooks/download/177534727/processed_ATL06_20190225121032_09020203_003_01.h5'" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Check the downloaded dataset\n", - "Get all `latitude` variables in your downloaded file:" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "varname = 'latitude'\n", - "\n", - "varlist = []\n", - "def IS2h5walk(vname, h5node):\n", - " if isinstance(h5node, h5py.Dataset):\n", - " varlist.append(vname)\n", - " return \n", - "\n", - "with h5py.File(fn,'r') as h5pt:\n", - " h5pt.visititems(IS2h5walk)\n", - " \n", - "for tvar in varlist:\n", - " vpath,vn = os.path.split(tvar)\n", - " if vn==varname: print(tvar) " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Compare to the variable paths available in the original data" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "region_a.order_vars.parse_var_list(region_a.order_vars.avail())[0][varname]" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.9" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/analysis/exmpl_scripts/ICESat-2_DAAC_DataAccess2_Subsetting.ipynb b/analysis/exmpl_scripts/ICESat-2_DAAC_DataAccess2_Subsetting.ipynb deleted file mode 100644 index 7c1c10ec..00000000 --- a/analysis/exmpl_scripts/ICESat-2_DAAC_DataAccess2_Subsetting.ipynb +++ /dev/null @@ -1,3247 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Subsetting ICESat-2 Data with the NSIDC Subsetter\n", - "### How to Use the NSIDC Subsetter Example Notebook\n", - "This notebook illustrates the use of icepyx for subsetting ICESat-2 data ordered through the NSIDC DAAC. We'll show how to find out what subsetting options are available and how to specify the subsetting options for your order.\n", - "\n", - "For more information on using icepyx to find, order, and download data, see our complimentary [ICESat-2_DAAC_DataAccess_Example Notebook](https://github.com/icesat2py/icepyx/blob/main/doc/examples/ICESat-2_DAAC_DataAccess_Example.ipynb).\n", - "\n", - "Questions? Be sure to check out the FAQs throughout this notebook, indicated as italic headings.\n", - "\n", - "#### Credits\n", - "* notebook by: Jessica Scheick and Zheng Liu\n", - "* some source material: [NSIDC Data Access Notebook](https://github.com/ICESAT-2HackWeek/ICESat2_hackweek_tutorials/tree/main/03_NSIDCDataAccess_Steiker) by Amy Steiker and Bruce Wallin" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### _What is SUBSETTING anyway?_\n", - "\n", - "Anyone who's worked with geospatial data has probably encountered subsetting. Typically, we search for data wherever it is stored and download the chunks (aka granules, scenes, passes, swaths, etc.) that contain something we are interested in. Then, we have to extract from each chunk the pieces we actually want to analyze. Those pieces might be geospatial (i.e. an area of interest), temporal (i.e. certain months of a time series), and/or certain variables. This process of extracting the data we are going to use is called subsetting.\n", - "\n", - "In the case of ICESat-2 data coming from the NSIDC DAAC, we can do this subsetting step on the data prior to download, reducing our number of data processing steps and resulting in smaller, faster downloads and storage." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Import packages, including icepyx" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "data": { - "application/javascript": [ - "\n", - "(function(root) {\n", - " function now() {\n", - " return new Date();\n", - " }\n", - "\n", - " var force = true;\n", - "\n", - " if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n", - " root._bokeh_onload_callbacks = [];\n", - " root._bokeh_is_loading = undefined;\n", - " }\n", - "\n", - " if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n", - " root._bokeh_timeout 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#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 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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", - " },\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", - " },\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 margin-left: 1rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty:after {\\n display: none;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-object:after {\\n content: \\\"No properties\\\";\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-array:after {\\n content: \\\"[]\\\";\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-string,\\n.json-formatter-dark.json-formatter-row .json-formatter-stringifiable {\\n color: #31F031;\\n white-space: pre;\\n word-wrap: break-word;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-number {\\n color: #66C2FF;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-boolean {\\n color: #EC4242;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-null {\\n color: #EEC97D;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-undefined {\\n color: #ef8fbe;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-function {\\n color: #FD48CB;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-date {\\n background-color: rgba(255, 255, 255, 0.05);\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-url {\\n text-decoration: underline;\\n color: #027BFF;\\n cursor: pointer;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-bracket {\\n color: #9494FF;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-key {\\n color: #23A0DB;\\n padding-right: 0.2rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-toggler-link {\\n cursor: pointer;\\n}\\n.json-formatter-dark.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-dark.json-formatter-row .json-formatter-toggler:after {\\n display: inline-block;\\n transition: transform 100ms ease-in;\\n content: \\\"\\\\25BA\\\";\\n}\\n.json-formatter-dark.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-dark.json-formatter-row:hover > a > .json-formatter-preview-text {\\n opacity: 0.6;\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open > .json-formatter-toggler-link .json-formatter-toggler:after {\\n transform: rotate(90deg);\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open > .json-formatter-children:after {\\n display: inline-block;\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open > a > .json-formatter-preview-text {\\n display: none;\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open.json-formatter-empty:after {\\n display: block;\\n}\\n\");\n", - " },\n", - " function(Bokeh) {\n", - " inject_raw_css(\".bk.pn-loading:before {\\n position: absolute;\\n height: 100%;\\n width: 100%;\\n content: '';\\n z-index: 1000;\\n background-color: rgb(255,255,255,0.50);\\n border-color: lightgray;\\n background-repeat: no-repeat;\\n background-position: center;\\n background-size: auto 50%;\\n border-width: 1px;\\n cursor: progress;\\n}\\n.bk.pn-loading.arcs:hover:before {\\n cursor: progress;\\n}\\n\");\n", - " },\n", - " function(Bokeh) {\n", - " inject_raw_css(\"table.panel-df {\\n margin-left: auto;\\n 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url(\\\"data:image/svg+xml;base64,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\\\")\\n }\\n \");\n", - " },\n", - " function(Bokeh) {\n", - " /* BEGIN bokeh.min.js */\n", - " /*!\n", - " * Copyright (c) 2012 - 2021, 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", - " 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", - " var define;\n", - " var parent_require = typeof require 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t=new Set(this._all_models.values()),s=v.difference(t,e),o=v.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}`),!m.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 j.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 j.RootRemovedEvent(this,e,t))}}title(){return this._title}set_title(e,t){e!==this._title&&(this._title=e,this._trigger_on_change(new j.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 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_instantiate_references_json(e,t,s){var o;const n=new Map;for(const r of e){const e=r.id,i=r.type,l=null!==(o=r.attributes)&&void 0!==o?o:{};let _=t.get(e);null==_&&(_=E._instantiate_object(e,i,l,s),null!=r.subtype&&_.set_subtype(r.subtype)),n.set(_.id,_)}return n}static _resolve_refs(e,t,s,o){function n(e){var r;if(f.is_ref(e)){const o=null!==(r=t.get(e.id))&&void 0!==r?r:s.get(e.id);if(null!=o)return o;throw new Error(`reference ${JSON.stringify(e)} isn't known (not in Document?)`)}return u.is_NDArray_ref(e)?u.decode_NDArray(e,o):p.isArray(e)?function(e){const t=[];for(const s of e)t.push(n(s));return t}(e):p.isPlainObject(e)?function(e){const t={};for(const[s,o]of g.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:r,attributes:i}of e){const e=!t.has(r),l=e?s.get(r):t.get(r),_=E._resolve_refs(i,t,s,o);l.setv(_,{silent:!0}),n.set(r,{instance:l,is_new:e})}const r=[],i=new Set;function l(e){if(e instanceof c.HasProps){if(n.has(e.id)&&!i.has(e.id)){i.add(e.id);const{instance:t,is_new:s}=n.get(e.id),{attributes:o}=t;for(const e of g.values(o))l(e);s&&(t.finalize(),r.push(t))}}else if(p.isArray(e))for(const t of e)l(t);else if(p.isPlainObject(e))for(const t of g.values(e))l(t)}for(const e of n.values())l(e.instance);for(const e of r)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 r={kind:\"ModelChanged\",model:{id:e.id},attr:t,new:s};return c.HasProps._json_record_references(o,s,n,{recursive:!0}),r}return null}static _events_to_sync_objects(e,t,s,o){const n=Object.keys(e.attributes),r=Object.keys(t.attributes),i=m.difference(n,r),l=m.difference(r,n),a=m.intersection(n,r),c=[];for(const e of i)_.logger.warn(`Server sent key ${e} but we don't seem to have it in our JSON`);for(const n of l){const r=t.attributes[n];c.push(E._event_for_attribute_change(e,n,r,s,o))}for(const n of a){const r=e.attributes[n],i=t.attributes[n];null==r&&null==i||(null==r||null==i?c.push(E._event_for_attribute_change(e,n,i,s,o)):w.is_equal(r,i)||c.push(E._event_for_attribute_change(e,n,i,s,o)))}return c.filter((e=>null!=e))}static _compute_patch_since_json(e,t){const s=t.to_json(!1);function o(e){const t=new Map;for(const s of e.roots.references)t.set(s.id,s);return t}const n=o(e),r=new Map,i=[];for(const t of e.roots.root_ids)r.set(t,n.get(t)),i.push(t);const l=o(s),_=new Map,a=[];for(const e of s.roots.root_ids)_.set(e,l.get(e)),a.push(e);if(i.sort(),a.sort(),m.difference(i,a).length>0||m.difference(a,i).length>0)throw new Error(\"Not implemented: computing add/remove of document roots\");const c=new Set;let h=[];for(const e of t._all_models.keys())if(n.has(e)){const s=E._events_to_sync_objects(n.get(e),l.get(e),t,c);h=h.concat(s)}const f=new d.Serializer({include_defaults:!1});return f.to_serializable([...c]),{references:[...f.definitions],events:h}}to_json_string(e=!0){return JSON.stringify(this.to_json(e))}to_json(e=!0){const t=new d.Serializer({include_defaults:e}),s=t.to_serializable(this._roots);return{version:l.version,title:this._title,roots:{root_ids:s.map((e=>e.id)),references:[...t.definitions]}}}static from_json_string(e){const t=JSON.parse(e);return E.from_json(t)}static from_json(e){_.logger.debug(\"Creating Document from JSON\");const t=e.version,s=-1!==t.indexOf(\"+\")||-1!==t.indexOf(\"-\"),o=`Library versions: JS (${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 i.ModelResolver;null!=e.defs&&M.resolve_defs(e.defs,n);const r=e.roots,a=r.root_ids,c=r.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});for(const e of a){const t=d.get(e);null!=t&&h.add_root(t)}return 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,r=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)r.set(t,s);else if(!r.has(t))throw _.logger.warn(`Got an event for unknown model ${e.model}\"`),new Error(\"event model wasn't known\");break}}const i=new Map(this._all_models),l=new Map;for(const[e,t]of r)i.has(e)||l.set(e,t);E._initialize_references_json(o,i,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,i,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 r=e.attr,_=E._resolve_refs(e.new,i,l,t);n.setv({[r]:_},{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 ${o} which is not in the document`);const r=E._resolve_refs(e.new,new Map,new Map,t);if(null!=e.cols)for(const e in n.data)e in r||(r[e]=n.data[e]);n.setv({data:r},{setter_id:s,check_eq:!1});break}case\"ColumnsStreamed\":{const t=e.column_source.id,o=this._all_models.get(t);if(null==o)throw new Error(`Cannot stream to 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d{constructor(e,t,s){super(e),this.column_source=t,this.patches=s}[i.serialize](e){return{kind:\"ColumnsPatched\",column_source:this.column_source,patches:this.patches}}}s.ColumnsPatchedEvent=c,c.__name__=\"ColumnsPatchedEvent\";class h extends d{constructor(e,t,s,n){super(e),this.column_source=t,this.data=s,this.rollover=n}[i.serialize](e){return{kind:\"ColumnsStreamed\",column_source:this.column_source,data:this.data,rollover:this.rollover}}}s.ColumnsStreamedEvent=h,h.__name__=\"ColumnsStreamedEvent\";class m extends d{constructor(e,t,s){super(e),this.title=t,this.setter_id=s}[i.serialize](e){return{kind:\"TitleChanged\",title:this.title}}}s.TitleChangedEvent=m,m.__name__=\"TitleChangedEvent\";class u extends d{constructor(e,t,s){super(e),this.model=t,this.setter_id=s}[i.serialize](e){return{kind:\"RootAdded\",model:e.to_serializable(this.model)}}}s.RootAddedEvent=u,u.__name__=\"RootAddedEvent\";class v extends d{constructor(e,t,s){super(e),this.model=t,this.setter_id=s}[i.serialize](e){return{kind:\"RootRemoved\",model:this.model.ref()}}}s.RootRemovedEvent=v,v.__name__=\"RootRemovedEvent\"},\n", - " function _(t,r,n,i,e){i();const s=t(8),o=t(13);n.pretty=Symbol(\"pretty\");class c{constructor(t){this.precision=null==t?void 0:t.precision}to_string(t){return function(t){return s.isObject(t)&&void 0!==t[n.pretty]}(t)?t[n.pretty](this):s.isBoolean(t)?this.boolean(t):s.isNumber(t)?this.number(t):s.isString(t)?this.string(t):s.isArray(t)?this.array(t):s.isIterable(t)?this.iterable(t):s.isPlainObject(t)?this.object(t):`${t}`}token(t){return t}boolean(t){return`${t}`}number(t){return null!=this.precision?t.toFixed(this.precision):`${t}`}string(t){return`\"${t.replace(/'/g,\"\\\\'\")}\"`}array(t){const r=this.token,n=[];for(const r of t)n.push(this.to_string(r));return`${r(\"[\")}${n.join(`${r(\",\")} `)}${r(\"]\")}`}iterable(t){var r;const n=this.token,i=null!==(r=Object(t)[Symbol.toStringTag])&&void 0!==r?r:\"Object\",e=this.array(t);return`${i}${n(\"(\")}${e}${n(\")\")}`}object(t){const r=this.token,n=[];for(const[i,e]of o.entries(t))n.push(`${i}${r(\":\")} ${this.to_string(e)}`);return`${r(\"{\")}${n.join(`${r(\",\")} `)}${r(\"}\")}`}}n.Printer=c,c.__name__=\"Printer\",n.to_string=function(t,r){return new c(r).to_string(t)}},\n", - " function _(n,o,r,e,t){e();const l=n(13),i=n(8);function c(n){return i.isObject(n)&&void 0!==n[r.clone]}r.clone=Symbol(\"clone\"),r.is_Cloneable=c;class s extends Error{}r.CloningError=s,s.__name__=\"CloningError\";class a{constructor(){}clone(n){if(c(n))return n[r.clone](this);if(i.isArray(n)){const o=n.length,r=new Array(o);for(let e=0;e{null!=this.layout&&(this.layout.visible=this.model.visible,this.plot_view.request_layout())}))}get needs_clip(){return null==this.layout}serializable_state(){const t=super.serializable_state();return null==this.layout?t:Object.assign(Object.assign({},t),{bbox:this.layout.bbox.box})}}i.AnnotationView=a,a.__name__=\"AnnotationView\";class l extends o.Renderer{constructor(t){super(t)}static init_Annotation(){this.override({level:\"annotation\"})}}i.Annotation=l,l.__name__=\"Annotation\",l.init_Annotation()},\n", - " function _(e,i,t,n,s){n();const r=e(1),a=e(42),_=r.__importStar(e(45)),o=e(20),l=e(53),d=e(54);class h extends a.View{get coordinates(){const{_coordinates:e}=this;return null!=e?e:this._coordinates=this._initialize_coordinates()}initialize(){super.initialize(),this.visuals=new _.Visuals(this),this.needs_webgl_blit=!1}connect_signals(){super.connect_signals();const{x_range_name:e,y_range_name:i}=this.model.properties;this.on_change([e,i],(()=>this._initialize_coordinates()))}_initialize_coordinates(){const{x_range_name:e,y_range_name:i}=this.model,{frame:t}=this.plot_view,n=t.x_scales.get(e),s=t.y_scales.get(i);return new d.CoordinateTransform(n,s)}get plot_view(){return this.parent}get plot_model(){return this.parent.model}get layer(){const{overlays:e,primary:i}=this.canvas;return\"overlay\"==this.model.level?e:i}get canvas(){return this.plot_view.canvas_view}request_render(){this.request_paint()}request_paint(){this.plot_view.request_paint(this)}notify_finished(){this.plot_view.notify_finished()}get needs_clip(){return!1}get has_webgl(){return!1}render(){this.model.visible&&this._render(),this._has_finished=!0}renderer_view(e){}}t.RendererView=h,h.__name__=\"RendererView\";class c extends l.Model{constructor(e){super(e)}static init_Renderer(){this.define((({Boolean:e,String:i})=>({level:[o.RenderLevel,\"image\"],visible:[e,!0],x_range_name:[i,\"default\"],y_range_name:[i,\"default\"]})))}}t.Renderer=c,c.__name__=\"Renderer\",c.init_Renderer()},\n", - " function _(t,e,s,i,n){i();const r=t(1),o=t(15),h=t(43),l=t(8),a=r.__importDefault(t(44));class _{constructor(t){this.removed=new o.Signal0(this,\"removed\"),this._ready=Promise.resolve(void 0),this._slots=new WeakMap;const{model:e,parent:s}=t;this.model=e,this.parent=s,this.root=null==s?this:s.root,this.removed.emit()}get ready(){return this._ready}connect(t,e){let s=this._slots.get(e);return null==s&&(s=(t,s)=>{const i=Promise.resolve(e.call(this,t,s));this._ready=this._ready.then((()=>i))},this._slots.set(e,s)),t.connect(s,this)}disconnect(t,e){return t.disconnect(e,this)}initialize(){this._has_finished=!1,this.is_root&&(this._stylesheet=h.stylesheet);for(const t of this.styles())this.stylesheet.append(t)}async lazy_initialize(){}remove(){this.disconnect_signals(),this.removed.emit()}toString(){return`${this.model.type}View(${this.model.id})`}serializable_state(){return{type:this.model.type}}get is_root(){return null==this.parent}assert_root(){if(!this.is_root)throw new Error(`${this.toString()} is not a root layout`)}has_finished(){return this._has_finished}get is_idle(){return this.has_finished()}connect_signals(){}disconnect_signals(){o.Signal.disconnect_receiver(this)}on_change(t,e){for(const s of l.isArray(t)?t:[t])this.connect(s.change,e)}cursor(t,e){return null}get stylesheet(){return this.is_root?this._stylesheet:this.root.stylesheet}styles(){return[a.default]}}s.View=_,_.__name__=\"View\"},\n", - " function _(t,e,n,i,o){i();const s=t(8),l=t(13),r=t=>(e={},...n)=>{const i=document.createElement(t);i.classList.add(\"bk\");for(let[t,n]of l.entries(e))if(null!=n&&(!s.isBoolean(n)||n))if(\"class\"===t&&(s.isString(n)&&(n=n.split(/\\s+/)),s.isArray(n)))for(const t of n)null!=t&&i.classList.add(t);else if(\"style\"===t&&s.isPlainObject(n))for(const[t,e]of l.entries(n))i.style[t]=e;else if(\"data\"===t&&s.isPlainObject(n))for(const[t,e]of l.entries(n))i.dataset[t]=e;else i.setAttribute(t,n);function o(t){if(s.isString(t))i.appendChild(document.createTextNode(t));else if(t instanceof Node)i.appendChild(t);else if(t instanceof NodeList||t instanceof HTMLCollection)for(const e of t)i.appendChild(e);else if(null!=t&&!1!==t)throw new Error(`expected a DOM element, string, false or null, got ${JSON.stringify(t)}`)}for(const t of n)if(s.isArray(t))for(const e of t)o(e);else o(t);return i};function a(t){const e=t.parentNode;null!=e&&e.removeChild(t)}function c(t,...e){const n=t.firstChild;for(const i of e)t.insertBefore(i,n)}function d(t,e){var n,i,o;const s=Element.prototype;return(null!==(o=null!==(i=null!==(n=s.matches)&&void 0!==n?n:s.webkitMatchesSelector)&&void 0!==i?i:s.mozMatchesSelector)&&void 0!==o?o:s.msMatchesSelector).call(t,e)}function h(t){return parseFloat(t)||0}function u(t){const e=getComputedStyle(t);return{border:{top:h(e.borderTopWidth),bottom:h(e.borderBottomWidth),left:h(e.borderLeftWidth),right:h(e.borderRightWidth)},margin:{top:h(e.marginTop),bottom:h(e.marginBottom),left:h(e.marginLeft),right:h(e.marginRight)},padding:{top:h(e.paddingTop),bottom:h(e.paddingBottom),left:h(e.paddingLeft),right:h(e.paddingRight)}}}function f(t){const e=t.getBoundingClientRect();return{width:Math.ceil(e.width),height:Math.ceil(e.height)}}n.createElement=function(t,e,...n){return r(t)(e,...n)},n.div=r(\"div\"),n.span=r(\"span\"),n.canvas=r(\"canvas\"),n.link=r(\"link\"),n.style=r(\"style\"),n.a=r(\"a\"),n.p=r(\"p\"),n.i=r(\"i\"),n.pre=r(\"pre\"),n.button=r(\"button\"),n.label=r(\"label\"),n.input=r(\"input\"),n.select=r(\"select\"),n.option=r(\"option\"),n.optgroup=r(\"optgroup\"),n.textarea=r(\"textarea\"),n.nbsp=function(){return document.createTextNode(\" \")},n.append=function(t,...e){for(const n of e)t.appendChild(n)},n.remove=a,n.removeElement=a,n.replaceWith=function(t,e){const n=t.parentNode;null!=n&&n.replaceChild(e,t)},n.prepend=c,n.empty=function(t,e=!1){let n;for(;n=t.firstChild;)t.removeChild(n);if(e&&t instanceof Element)for(const e of t.attributes)t.removeAttributeNode(e)},n.display=function(t){t.style.display=\"\"},n.undisplay=function(t){t.style.display=\"none\"},n.show=function(t){t.style.visibility=\"\"},n.hide=function(t){t.style.visibility=\"hidden\"},n.offset=function(t){const e=t.getBoundingClientRect();return{top:e.top+window.pageYOffset-document.documentElement.clientTop,left:e.left+window.pageXOffset-document.documentElement.clientLeft}},n.matches=d,n.parent=function(t,e){let n=t;for(;n=n.parentElement;)if(d(n,e))return n;return null},n.extents=u,n.size=f,n.scroll_size=function(t){return{width:Math.ceil(t.scrollWidth),height:Math.ceil(t.scrollHeight)}},n.outer_size=function(t){const{margin:{left:e,right:n,top:i,bottom:o}}=u(t),{width:s,height:l}=f(t);return{width:Math.ceil(s+e+n),height:Math.ceil(l+i+o)}},n.content_size=function(t){const{left:e,top:n}=t.getBoundingClientRect(),{padding:i}=u(t);let o=0,s=0;for(const l of t.children){const 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;z-index:0;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 l=e(1),n=e(46);c(\"Line\",n.Line),c(\"LineScalar\",n.LineScalar),c(\"LineVector\",n.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=l.__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 n.Line(e,t);case u.LineScalar:return new n.LineScalar(e,t);case u.LineVector:return new n.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\")}})();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 n=e(1),a=e(47),o=n.__importStar(e(48)),r=e(22),_=e(8);function h(e){if(_.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=h;class c extends a.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)}set_value(e){const t=this.line_color.get_value(),i=this.line_alpha.get_value();e.strokeStyle=r.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=h(this.line_dash.get_value()),e.lineDashOffset=this.line_dash_offset.get_value()}}i.Line=c,c.__name__=\"Line\";class u extends a.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)}set_value(e){const t=this.line_color.value,i=this.line_alpha.value;e.strokeStyle=r.color2css(t,i),e.lineWidth=this.line_width.value,e.lineJoin=this.line_join.value,e.lineCap=this.line_cap.value,e.lineDash=h(this.line_dash.value),e.lineDashOffset=this.line_dash_offset.value}}i.LineScalar=u,u.__name__=\"LineScalar\";class d extends a.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}set_vectorize(e,t){const i=this.line_color.get(t),l=this.line_alpha.get(t),s=this.line_width.get(t),n=this.line_join.get(t),a=this.line_cap.get(t),o=this.line_dash.get(t),_=this.line_dash_offset.get(t);e.strokeStyle=r.color2css(i,l),e.lineWidth=s,e.lineJoin=n,e.lineCap=a,e.lineDash=h(o),e.lineDashOffset=_}}i.LineVector=d,d.__name__=\"LineVector\",c.prototype.type=\"line\",c.prototype.attrs=Object.keys(o.Line),u.prototype.type=\"line\",u.prototype.attrs=Object.keys(o.LineScalar),d.prototype.type=\"line\",d.prototype.attrs=Object.keys(o.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)}this.update()}*[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=r.__importStar(e(18)),n=e(20),i=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 _.keys(t)){const t=`${l}${r}`,o=e[t];c[a?t:r]=o}return c}},\n", - " function _(l,t,e,i,s){i();const o=l(1),a=l(47),r=o.__importStar(l(48)),c=l(22);class _ extends a.VisualProperties{get doit(){const l=this.fill_color.get_value(),t=this.fill_alpha.get_value();return!(null==l||0==t)}set_value(l){const t=this.fill_color.get_value(),e=this.fill_alpha.get_value();l.fillStyle=c.color2css(t,e)}}e.Fill=_,_.__name__=\"Fill\";class n extends a.VisualUniforms{get doit(){const l=this.fill_color.value,t=this.fill_alpha.value;return!(0==l||0==t)}set_value(l){const t=this.fill_color.value,e=this.fill_alpha.value;l.fillStyle=c.color2css(t,e)}}e.FillScalar=n,n.__name__=\"FillScalar\";class p extends a.VisualUniforms{get doit(){const{fill_color:l}=this;if(l.is_Scalar()&&0==l.value)return!1;const{fill_alpha:t}=this;return!t.is_Scalar()||0!=t.value}set_vectorize(l,t){const e=this.fill_color.get(t),i=this.fill_alpha.get(t);l.fillStyle=c.color2css(e,i)}}e.FillVector=p,p.__name__=\"FillVector\",_.prototype.type=\"fill\",_.prototype.attrs=Object.keys(r.Fill),n.prototype.type=\"fill\",n.prototype.attrs=Object.keys(r.FillScalar),p.prototype.type=\"fill\",p.prototype.attrs=Object.keys(r.FillVector)},\n", - " function _(t,e,s,l,a){l();const o=t(1),_=t(47),i=o.__importStar(t(48)),n=t(22);class x extends _.VisualProperties{get doit(){const t=this.text_color.get_value(),e=this.text_alpha.get_value();return!(null==t||0==e)}set_value(t){const e=this.text_color.get_value(),s=this.text_alpha.get_value();t.fillStyle=n.color2css(e,s),t.font=this.font_value(),t.textAlign=this.text_align.get_value(),t.textBaseline=this.text_baseline.get_value()}font_value(){return`${this.text_font_style.get_value()} ${this.text_font_size.get_value()} ${this.text_font.get_value()}`}}s.Text=x,x.__name__=\"Text\";class r extends _.VisualUniforms{get doit(){const t=this.text_color.value,e=this.text_alpha.value;return!(0==t||0==e)}set_value(t){const e=this.text_color.value,s=this.text_alpha.value,l=this.font_value(),a=this.text_align.value,o=this.text_baseline.value;t.fillStyle=n.color2css(e,s),t.font=l,t.textAlign=a,t.textBaseline=o}font_value(){return`${this.text_font_style.value} ${this.text_font_size.value} ${this.text_font.value}`}}s.TextScalar=r,r.__name__=\"TextScalar\";class u extends _.VisualUniforms{get doit(){const{text_color:t}=this;if(t.is_Scalar()&&0==t.value)return!1;const{text_alpha:e}=this;return!e.is_Scalar()||0!=e.value}set_vectorize(t,e){const s=this.text_color.get(e),l=this.text_alpha.get(e),a=this.font_value(e),o=this.text_align.get(e),_=this.text_baseline.get(e);t.fillStyle=n.color2css(s,l),t.font=a,t.textAlign=o,t.textBaseline=_}font_value(t){return`${this.text_font_style.get(t)} ${this.text_font_size.get(t)} ${this.text_font.get(t)}`}}s.TextVector=u,u.__name__=\"TextVector\",x.prototype.type=\"text\",x.prototype.attrs=Object.keys(i.Text),r.prototype.type=\"text\",r.prototype.attrs=Object.keys(i.TextScalar),u.prototype.type=\"text\",u.prototype.attrs=Object.keys(i.TextVector)},\n", - " function _(t,e,a,h,r){h();const i=t(1),s=t(47),c=t(52),n=i.__importStar(t(18)),_=i.__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(),h=this.hatch_pattern.get_value(),r=this.hatch_weight.get_value(),i=t=>{this._hatch_image=t},s=this.hatch_extra.get_value()[h];if(null!=s){const h=s.get_pattern(t,e,a,r);if(h instanceof Promise){const{_update_iteration:t}=this;h.then((e=>{this._update_iteration==t&&(i(e),this.obj.request_render())}))}else i(h)}else{const s=this.obj.canvas.create_layer(),n=c.get_pattern(s,h,t,e,a,r);i(n)}}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)}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 n.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,h=this.hatch_scale.value,r=this.hatch_pattern.value,i=this.hatch_weight.value,s=e=>{this._hatch_image=new n.UniformScalar(e,t)},_=this.hatch_extra.value[r];if(null!=_){const t=_.get_pattern(e,a,h,i);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(),n=c.get_pattern(t,r,e,a,h,i);s(n)}}get doit(){return this._static_doit}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 n.UniformScalar(null,t),this._static_doit=this._compute_static_doit(),!this._static_doit)return;const e=(t,e,a,h,r,i)=>{const s=this.hatch_extra.value[t];if(null!=s){const t=s.get_pattern(e,a,h,r);if(t instanceof Promise){const{_update_iteration:e}=this;t.then((t=>{this._update_iteration==e&&(i(t),this.obj.request_render())}))}else i(t)}else{const s=this.obj.canvas.create_layer(),n=c.get_pattern(s,t,e,a,h,r);i(n)}};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,h=this.hatch_alpha.value,r=this.hatch_scale.value;e(this.hatch_pattern.value,a,h,r,this.hatch_weight.value,(e=>{this._hatch_image=new n.UniformScalar(e,t)}))}else{const a=new Array(t);a.fill(null),this._hatch_image=new n.UniformVector(a);for(let h=0;h{a[h]=t}))}}}get doit(){return this._static_doit}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=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){n();const a=e(14),i=e(8),r=e(13),l=e(19);class o extends a.HasProps{constructor(e){super(e)}get is_syncable(){return this.syncable}static init_Model(){this.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]})))}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):l.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 r.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(){r.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(i.isString(e))return[...this.references()].filter((t=>t instanceof o&&t.name===e));if(e.prototype instanceof a.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=o,o.__name__=\"Model\",o.init_Model()},\n", - " function _(s,e,_,t,a){t();class r{constructor(s,e){this.x_scale=s,this.y_scale=e,this.x_range=this.x_scale.source_range,this.y_range=this.y_scale.source_range,this.ranges=[this.x_range,this.y_range],this.scales=[this.x_scale,this.y_scale]}map_to_screen(s,e){return[this.x_scale.v_compute(s),this.y_scale.v_compute(e)]}map_from_screen(s,e){return[this.x_scale.v_invert(s),this.y_scale.v_invert(e)]}}_.CoordinateTransform=r,r.__name__=\"CoordinateTransform\"},\n", - " function _(t,e,s,a,i){a();const n=t(1),_=t(56),r=t(133),o=t(48),l=t(20),d=t(24),h=t(122),c=n.__importStar(t(18)),u=t(10);class v extends _.DataAnnotationView{async lazy_initialize(){await super.lazy_initialize();const{start:t,end:e}=this.model;null!=t&&(this.start=await h.build_view(t,{parent:this})),null!=e&&(this.end=await h.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 d.ScreenArray(n);for(let t=0;t({x_start:[c.XCoordinateSpec,{field:\"x_start\"}],y_start:[c.YCoordinateSpec,{field:\"y_start\"}],start_units:[l.SpatialUnits,\"data\"],start:[e(t(r.ArrowHead)),null],x_end:[c.XCoordinateSpec,{field:\"x_end\"}],y_end:[c.YCoordinateSpec,{field:\"y_end\"}],end_units:[l.SpatialUnits,\"data\"],end:[e(t(r.ArrowHead)),()=>new r.OpenHead]})))}}s.Arrow=p,p.__name__=\"Arrow\",p.init_Arrow()},\n", - " function _(t,n,s,a,e){a();const i=t(1),o=t(40),c=t(57),_=t(130),r=t(65),l=i.__importStar(t(18));class h extends o.AnnotationView{constructor(){super(...arguments),this._initial_set_data=!1}connect_signals(){super.connect_signals();const t=()=>{this.set_data(this.model.source),this.request_render()};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)}set_data(t){const n=this;for(const s of this.model)if(s instanceof l.VectorSpec||s instanceof l.ScalarSpec)if(s instanceof l.BaseCoordinateSpec){const a=s.array(t);n[`_${s.attr}`]=a}else{const a=s.uniform(t);n[`${s.attr}`]=a}this.plot_model.use_map&&(null!=n._x&&r.inplace.project_xy(n._x,n._y),null!=n._xs&&r.inplace.project_xsys(n._xs,n._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)}}s.DataAnnotationView=h,h.__name__=\"DataAnnotationView\";class u extends o.Annotation{constructor(t){super(t)}static init_DataAnnotation(){this.define((({Ref:t})=>({source:[t(c.ColumnarDataSource),()=>new _.ColumnDataSource]})))}}s.DataAnnotation=u,u.__name__=\"DataAnnotation\",u.init_DataAnnotation()},\n", - " function _(t,e,n,a,i){a();const s=t(58),r=t(15),l=t(19),o=t(60),c=t(8),u=t(9),h=t(13),g=t(59),d=t(129),_=t(29);class m extends s.DataSource{constructor(t){super(t)}get_array(t){let e=this.data[t];return null==e?this.data[t]=e=[]:c.isArray(e)||(this.data[t]=e=Array.from(e)),e}static init_ColumnarDataSource(){this.define((({Ref:t})=>({selection_policy:[t(d.SelectionPolicy),()=>new d.UnionRenderers]}))),this.internal((({AnyRef:t})=>({selection_manager:[t(),t=>new o.SelectionManager({source:t})],inspected:[t(),()=>new g.Selection]})))}initialize(){super.initialize(),this._select=new r.Signal0(this,\"select\"),this.inspect=new r.Signal(this,\"inspect\"),this.streaming=new r.Signal0(this,\"streaming\"),this.patching=new r.Signal(this,\"patching\")}get_column(t){const e=this.data[t];return null!=e?e:null}columns(){return h.keys(this.data)}get_length(t=!0){const e=u.uniq(h.values(this.data).map((t=>_.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 l.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=m,m.__name__=\"ColumnarDataSource\",m.init_ColumnarDataSource()},\n", - " function _(e,t,c,n,a){n();const o=e(53),i=e(59);class s extends o.Model{constructor(e){super(e)}static init_DataSource(){this.define((({Ref:e})=>({selected:[e(i.Selection),()=>new i.Selection]})))}}c.DataSource=s,s.__name__=\"DataSource\",s.init_DataSource()},\n", - " function _(i,e,s,t,n){t();const l=i(53),c=i(9),h=i(13);class d extends l.Model{constructor(i){super(i)}get_view(){return this.view}static init_Selection(){this.define((({Int:i,Array:e,Dict:s})=>({indices:[e(i),[]],line_indices:[e(i),[]],multiline_indices:[s(e(i)),{}]}))),this.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})),[]]})))}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.selected_glyphs=i.selected_glyphs,this.view=i.view,this.multiline_indices=i.multiline_indices,this.image_indices=i.image_indices;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.view=null,this.selected_glyphs=[]}is_empty(){return 0==this.indices.length&&0==this.line_indices.length&&0==this.image_indices.length}update_through_union(i){this.indices=c.union(this.indices,i.indices),this.selected_glyphs=c.union(i.selected_glyphs,this.selected_glyphs),this.line_indices=c.union(i.line_indices,this.line_indices),this.view=i.view,this.multiline_indices=h.merge(i.multiline_indices,this.multiline_indices)}update_through_intersection(i){this.indices=c.intersection(this.indices,i.indices),this.selected_glyphs=c.union(i.selected_glyphs,this.selected_glyphs),this.line_indices=c.union(i.line_indices,this.line_indices),this.view=i.view,this.multiline_indices=h.merge(i.multiline_indices,this.multiline_indices)}update_through_subtraction(i){this.indices=c.difference(this.indices,i.indices),this.selected_glyphs=c.union(i.selected_glyphs,this.selected_glyphs),this.line_indices=c.union(i.line_indices,this.line_indices),this.view=i.view,this.multiline_indices=h.merge(i.multiline_indices,this.multiline_indices)}}s.Selection=d,d.__name__=\"Selection\",d.init_Selection()},\n", - " function _(e,t,s,n,i){n();const o=e(14),c=e(59),r=e(61),l=e(123);class p extends o.HasProps{constructor(e){super(e),this.inspectors=new Map}static init_SelectionManager(){this.internal((({AnyRef:e})=>({source:[e()]})))}select(e,t,s,n=\"replace\"){const i=[],o=[];for(const t of e)t instanceof r.GlyphRendererView?i.push(t):t instanceof l.GraphRendererView&&o.push(t);let c=!1;for(const e of o){const i=e.model.selection_policy.hit_test(t,e);c=c||e.model.selection_policy.do_selection(i,e.model,s,n)}if(i.length>0){const e=this.source.selection_policy.hit_test(t,i);c=c||this.source.selection_policy.do_selection(e,this.source,s,n)}return c}inspect(e,t){let s=!1;if(e instanceof r.GlyphRendererView){const n=e.hit_test(t);if(null!=n){s=!n.is_empty();const i=this.get_or_create_inspector(e.model);i.update(n,!0,\"replace\"),this.source.setv({inspected:i},{silent:!0}),this.source.inspect.emit([e.model,{geometry:t}])}}else if(e instanceof l.GraphRendererView){const n=e.model.inspection_policy.hit_test(t,e);s=s||e.model.inspection_policy.do_inspection(n,t,e,!1,\"replace\")}return s}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 c.Selection,this.inspectors.set(e,t)),t}}s.SelectionManager=p,p.__name__=\"SelectionManager\",p.init_SelectionManager()},\n", - " function _(e,t,i,s,l){s();const h=e(62),n=e(63),o=e(116),a=e(117),c=e(119),d=e(98),_=e(57),r=e(120),p=e(24),g=e(12),u=e(9),y=e(13),m=e(122),v=e(104),f={fill:{},line:{}},w={fill:{fill_alpha:.3,fill_color:\"grey\"},line:{line_alpha:.3,line_color:\"grey\"}},b={fill:{fill_alpha:.2},line:{}};class V extends h.DataRendererView{get glyph_view(){return this.glyph}async lazy_initialize(){var e,t;await super.lazy_initialize();const i=this.model.glyph;this.glyph=await this.build_glyph_view(i);const s=\"fill\"in this.glyph.visuals,l=\"line\"in this.glyph.visuals,h=Object.assign({},i.attributes);function n(e){const t=y.clone(h);return s&&y.extend(t,e.fill),l&&y.extend(t,e.line),new i.constructor(t)}delete h.id;let{selection_glyph:o}=this.model;null==o?o=n({fill:{},line:{}}):\"auto\"==o&&(o=n(f)),this.selection_glyph=await this.build_glyph_view(o);let{nonselection_glyph:a}=this.model;null==a?a=n({fill:{},line:{}}):\"auto\"==a&&(a=n(b)),this.nonselection_glyph=await this.build_glyph_view(a);const{hover_glyph:c}=this.model;null!=c&&(this.hover_glyph=await this.build_glyph_view(c));const{muted_glyph:d}=this.model;null!=d&&(this.muted_glyph=await this.build_glyph_view(d));const _=n(w);this.decimated_glyph=await this.build_glyph_view(_),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),null===(t=this.muted_glyph)||void 0===t||t.set_base(this.glyph),this.decimated_glyph.set_base(this.glyph),this.set_data()}async build_glyph_view(e){return m.build_view(e,{parent:this})}remove(){var e,t;this.glyph.remove(),this.selection_glyph.remove(),this.nonselection_glyph.remove(),null===(e=this.hover_glyph)||void 0===e||e.remove(),null===(t=this.muted_glyph)||void 0===t||t.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),null!=this.muted_glyph&&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 p.Indices(l);for(let e=0;e!d||d.is_empty()?[]:d.selected_glyph?this.model.view.convert_indices_from_subset(i):d.indices.length>0?d.indices:Object.keys(d.multiline_indices).map((e=>parseInt(e))))()),r=g.filter(i,(e=>_.has(t[e]))),{lod_threshold:p}=this.plot_model;let y,m,v;if(null!=this.model.document&&this.model.document.interactive_duration()>0&&!e&&null!=p&&t.length>p?(i=[...this.decimated],y=this.decimated_glyph,m=this.decimated_glyph,v=this.selection_glyph):(y=this.model.muted&&null!=this.muted_glyph?this.muted_glyph:this.glyph,m=this.nonselection_glyph,v=this.selection_glyph),null!=this.hover_glyph&&r.length&&(i=u.difference(i,r)),h.length){const e={};for(const t of h)e[t]=!0;const l=new Array,o=new Array;if(this.glyph instanceof n.LineView)for(const i of t)null!=e[i]?l.push(i):o.push(i);else for(const s of i)null!=e[t[s]]?l.push(s):o.push(s);m.render(s,o),v.render(s,l),null!=this.hover_glyph&&(this.glyph instanceof n.LineView?this.hover_glyph.render(s,this.model.view.convert_indices_from_subset(r)):this.hover_glyph.render(s,r))}else if(this.glyph instanceof n.LineView)this.hover_glyph&&r.length?this.hover_glyph.render(s,this.model.view.convert_indices_from_subset(r)):y.render(s,t);else if(this.glyph instanceof o.PatchView||this.glyph instanceof a.HAreaView||this.glyph instanceof c.VAreaView)if(0==d.selected_glyphs.length||null==this.hover_glyph)y.render(s,t);else for(const e of d.selected_glyphs)e==this.glyph.model&&this.hover_glyph.render(s,t);else y.render(s,i),this.hover_glyph&&r.length&&this.hover_glyph.render(s,r);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=V,V.__name__=\"GlyphRendererView\";class G extends h.DataRenderer{constructor(e){super(e)}static init_GlyphRenderer(){this.prototype.default_view=V,this.define((({Boolean:e,Auto:t,Or:i,Ref:s,Null:l,Nullable:h})=>({data_source:[s(_.ColumnarDataSource)],view:[s(r.CDSView),e=>new r.CDSView({source:e.data_source})],glyph:[s(d.Glyph)],hover_glyph:[h(s(d.Glyph)),null],nonselection_glyph:[i(s(d.Glyph),t,l),\"auto\"],selection_glyph:[i(s(d.Glyph),t,l),\"auto\"],muted_glyph:[h(s(d.Glyph)),null],muted:[e,!1]})))}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,G.__name__=\"GlyphRenderer\",G.init_GlyphRenderer()},\n", - " function _(e,r,t,a,n){a();const s=e(41);class i extends s.RendererView{get xscale(){return this.coordinates.x_scale}get yscale(){return this.coordinates.y_scale}}t.DataRendererView=i,i.__name__=\"DataRendererView\";class _ extends s.Renderer{constructor(e){super(e)}static init_DataRenderer(){this.override({level:\"glyph\"})}get selection_manager(){return this.get_selection_manager()}}t.DataRenderer=_,_.__name__=\"DataRenderer\",_.init_DataRenderer()},\n", - " function _(e,i,t,s,n){s();const l=e(1),_=e(64),r=e(106),h=e(108),o=l.__importStar(e(48)),a=l.__importStar(e(107)),c=e(59);class d extends _.XYGlyphView{initialize(){super.initialize();const{webgl:e}=this.renderer.plot_view.canvas_view;null!=e&&(this.glglyph=new h.LineGL(e.gl,this))}_render(e,i,t){const{sx:s,sy:n}=null!=t?t:this;let l=!0;e.beginPath();for(const t of i){const i=s[t],_=n[t];isFinite(i+_)?l?(e.moveTo(i,_),l=!1):e.lineTo(i,_):l=!0}this.visuals.line.set_value(e),e.stroke()}_hit_point(e){const i=new c.Selection,t={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:[p.XCoordinateSpec,{field:\"x\"}],y:[p.YCoordinateSpec,{field:\"y\"}]})))}}i.XYGlyph=d,d.__name__=\"XYGlyph\",d.init_XYGlyph()},\n", - " function _(n,t,e,o,r){o();const c=n(1),l=c.__importDefault(n(66)),i=c.__importDefault(n(67)),u=n(24),a=new i.default(\"GOOGLE\"),s=new i.default(\"WGS84\"),f=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=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 r.z?[r.x,r.y,r.z].concat(t.splice(3)):[r.x,r.y,t[2]].concat(t.splice(3)):[r.x,r.y].concat(t.splice(2)):[r.x,r.y]):(o=c.default(e,n,t),2===(a=Object.keys(t)).length||a.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;o[r]=t[r]})),o)}function l(e){return e instanceof i.default?e:e.oProj?e.oProj: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){return f(e,n,t)},inverse:function(t){return f(n,e,t)}},o&&(r.oProj=n),r)}},\n", - " function _(t,e,a,s,i){s();const u=t(1),l=u.__importDefault(t(68)),o=u.__importDefault(t(79)),r=u.__importDefault(t(80)),f=t(88),p=u.__importDefault(t(90)),d=u.__importDefault(t(91)),m=u.__importDefault(t(75));function n(t,e){if(!(this instanceof n))return new n(t);e=e||function(t){if(t)throw t};var a=l.default(t);if(\"object\"==typeof a){var s=n.projections.get(a.projName);if(s){if(a.datumCode&&\"none\"!==a.datumCode){var i=m.default(p.default,a.datumCode);i&&(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\";var u=f.sphere(a.a,a.b,a.rf,a.ellps,a.sphere),r=f.eccentricity(u.a,u.b,u.rf,a.R_A),h=a.datum||d.default(a.datumCode,a.datum_params,u.a,u.b,r.es,r.ep2);o.default(this,a),o.default(this,s),this.a=u.a,this.b=u.b,this.rf=u.rf,this.sphere=u.sphere,this.es=r.es,this.e=r.e,this.ep2=r.ep2,this.datum=h,this.init(),e(null,this)}else e(t)}else e(t)}n.projections=r.default,n.projections.start(),a.default=n},\n", - " function _(t,r,n,u,e){u();const f=t(1),i=f.__importDefault(t(69)),a=f.__importDefault(t(76)),o=f.__importDefault(t(71)),l=f.__importDefault(t(75));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=a.default(t);if(function(t){var r=l.default(t,\"authority\");if(r){var n=l.default(r,\"epsg\");return n&&d.indexOf(n)>-1}}(r))return i.default[\"EPSG:3857\"];var n=function(t){var r=l.default(t,\"extension\");if(r)return l.default(r,\"proj4\")}(r);return n?o.default(n):r}return function(t){return\"+\"===t[0]}(t)?o.default(t):void 0}},\n", - " function _(t,r,i,e,n){e();const f=t(1),a=f.__importDefault(t(70)),l=f.__importDefault(t(71)),u=f.__importDefault(t(76));function o(t){var r=this;if(2===arguments.length){var i=arguments[1];\"string\"==typeof i?\"+\"===i.charAt(0)?o[t]=l.default(arguments[1]):o[t]=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}}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(72),i=e.__importDefault(t(73)),f=e.__importDefault(t(74)),l=e.__importDefault(t(75));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},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=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=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)}};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 _(P,A,_,D,I){D(),_.PJD_3PARAM=1,_.PJD_7PARAM=2,_.PJD_WGS84=4,_.PJD_NODATUM=5,_.SEC_TO_RAD=484813681109536e-20,_.HALF_PI=Math.PI/2,_.SIXTH=.16666666666666666,_.RA4=.04722222222222222,_.RA6=.022156084656084655,_.EPSLN=1e-10,_.D2R=.017453292519943295,_.R2D=57.29577951308232,_.FORTPI=Math.PI/4,_.TWO_PI=2*Math.PI,_.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)}(d),d}},\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 '+this.place);this.afterItem(t)}},d.prototype.neutral=function(t){if(o.test(t))return this.word=t,void(this.state=2);if('\"'===t)return this.word=\"\",void(this.state=4);if(u.test(t))return this.word=t,void(this.state=3);if(!a.test(t))throw new Error(\"havn't handled \\\"\"+t+'\" in neutral yet, index '+this.place);this.afterItem(t)},d.prototype.output=function(){for(;this.place90&&a*o.R2D<-90&&h*o.R2D>180&&h*o.R2D<-180)return null;if(Math.abs(Math.abs(a)-o.HALF_PI)<=o.EPSLN)return null;if(this.sphere)i=this.x0+this.a*this.k0*n.default(h-this.long0),s=this.y0+this.a*this.k0*Math.log(Math.tan(o.FORTPI+.5*a));else{var e=Math.sin(a),r=l.default(this.e,a,e);i=this.x0+this.a*this.k0*n.default(h-this.long0),s=this.y0-this.a*this.k0*Math.log(r)}return t.x=i,t.y=s,t}function M(t){var i,s,h=t.x-this.x0,a=t.y-this.y0;if(this.sphere)s=o.HALF_PI-2*Math.atan(Math.exp(-a/(this.a*this.k0)));else{var e=Math.exp(-a/(this.a*this.k0));if(-9999===(s=u.default(this.e,e)))return null}return i=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(72),_=e.__importDefault(t(84));u.default=function(t){return Math.abs(t)<=o.SPI?t:t-_.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(72);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(72);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(72),u=f.__importStar(t(89)),c=f.__importDefault(t(75));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=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===r.datum_params[3]&&0===r.datum_params[4]&&0===r.datum_params[5]&&0===r.datum_params[6]||(r.datum_type=p.PJD_7PARAM,r.datum_params[3]*=p.SEC_TO_RAD,r.datum_params[4]*=p.SEC_TO_RAD,r.datum_params[5]*=p.SEC_TO_RAD,r.datum_params[6]=r.datum_params[6]/1e6+1))),r.a=_,r.b=t,r.es=u,r.ep2=d,r}},\n", - " function _(t,e,a,r,u){r();const m=t(1),_=t(72),o=m.__importDefault(t(93)),d=m.__importDefault(t(95)),f=m.__importDefault(t(67)),n=m.__importDefault(t(96)),i=m.__importDefault(t(97));a.default=function t(e,a,r){var u;if(Array.isArray(r)&&(r=n.default(r)),i.default(r),e.datum&&a.datum&&function(t,e){return(t.datum.datum_type===_.PJD_3PARAM||t.datum.datum_type===_.PJD_7PARAM)&&\"WGS84\"!==e.datumCode||(e.datum.datum_type===_.PJD_3PARAM||e.datum.datum_type===_.PJD_7PARAM)&&\"WGS84\"!==t.datumCode}(e,a)&&(r=t(e,u=new f.default(\"WGS84\"),r),e=u),\"enu\"!==e.axis&&(r=d.default(e,!1,r)),\"longlat\"===e.projName)r={x:r.x*_.D2R,y:r.y*_.D2R,z:r.z||0};else if(e.to_meter&&(r={x:r.x*e.to_meter,y:r.y*e.to_meter,z:r.z||0}),!(r=e.inverse(r)))return;return e.from_greenwich&&(r.x+=e.from_greenwich),r=o.default(e.datum,a.datum,r),a.from_greenwich&&(r={x:r.x-a.from_greenwich,y:r.y,z:r.z||0}),\"longlat\"===a.projName?r={x:r.x*_.R2D,y:r.y*_.R2D,z:r.z||0}:(r=a.forward(r),a.to_meter&&(r={x:r.x/a.to_meter,y:r.y/a.to_meter,z:r.z||0})),\"enu\"!==a.axis?d.default(a,!0,r):r}},\n", - " function _(t,e,a,u,c){u();const m=t(72),o=t(94);function _(t){return t===m.PJD_3PARAM||t===m.PJD_7PARAM}a.default=function(t,e,a){return o.compareDatums(t,e)||t.datum_type===m.PJD_NODATUM||e.datum_type===m.PJD_NODATUM?a:t.es!==e.es||t.a!==e.a||_(t.datum_type)||_(e.datum_type)?(a=o.geodeticToGeocentric(a,t.es,t.a),_(t.datum_type)&&(a=o.geocentricToWgs84(a,t.datum_type,t.datum_params)),_(e.datum_type)&&(a=o.geocentricFromWgs84(a,e.datum_type,e.datum_params)),o.geocentricToGeodetic(a,e.es,e.a,e.b)):a}},\n", - " function _(a,t,r,m,s){m();const u=a(72);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,t,s,i,n){i();const r=e(1),a=r.__importStar(e(18)),o=r.__importStar(e(99)),_=r.__importStar(e(45)),l=e(42),c=e(53),h=e(19),d=e(24),u=e(8),f=e(100),p=e(12),g=e(26),y=e(101),x=e(104),v=e(59),{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(`${this}.set_data() wasn't called`)}initialize(){super.initialize(),this.visuals=new _.Visuals(this)}request_render(){this.parent.request_render()}get canvas(){return this.renderer.parent.canvas_view}render(e,t,s){var i;null!=this.glglyph&&(this.renderer.needs_webgl_blit=this.glglyph.render(e,t,null!==(i=this.base)&&void 0!==i?i:this),this.renderer.needs_webgl_blit)||(e.beginPath(),this._render(e,t,null!=s?s:this.base))}has_finished(){return!0}notify_finished(){this.renderer.notify_finished()}_bounds(e){return e}bounds(){return this._bounds(this.index.bbox)}log_bounds(){const{x0:e,x1:t}=this.index.bounds(o.positive_x()),{y0:s,y1:i}=this.index.bounds(o.positive_y());return this._bounds({x0:e,y0:s,x1:t,y1:i})}get_anchor_point(e,t,[s,i]){switch(e){case\"center\":case\"center_center\":{const[e,n]=this.scenterxy(t,s,i);return{x:e,y:n}}default:return null}}scenterx(e,t,s){return this.scenterxy(e,t,s)[0]}scentery(e,t,s){return this.scenterxy(e,t,s)[1]}sdist(e,t,s,i=\"edge\",n=!1){const r=t.length,a=new d.ScreenArray(r),o=e.s_compute;if(\"center\"==i)for(let e=0;em(e))),a}draw_legend_for_index(e,t,s){}hit_test(e){switch(e.type){case\"point\":if(null!=this._hit_point)return this._hit_point(e);break;case\"span\":if(null!=this._hit_span)return this._hit_span(e);break;case\"rect\":if(null!=this._hit_rect)return this._hit_rect(e);break;case\"poly\":if(null!=this._hit_poly)return this._hit_poly(e)}return this._nohit_warned.has(e.type)||(h.logger.debug(`'${e.type}' selection not available for ${this.model.type}`),this._nohit_warned.add(e.type)),null}_hit_rect_against_index(e){const{sx0:t,sx1:s,sy0:i,sy1:n}=e,[r,a]=this.renderer.coordinates.x_scale.r_invert(t,s),[o,_]=this.renderer.coordinates.y_scale.r_invert(i,n),l=[...this.index.indices({x0:r,x1:a,y0:o,y1:_})];return new v.Selection({indices:l})}_project_data(){}*_iter_visuals(){for(const e of this.visuals)for(const t of e)(t instanceof a.VectorSpec||t instanceof a.ScalarSpec)&&(yield t)}set_base(e){e!=this&&e instanceof this.constructor&&(this.base=e)}_configure(e,t){Object.defineProperty(this,u.isString(e)?e:e.attr,Object.assign({configurable:!0,enumerable:!0},t))}set_visuals(e,t){var s;for(const s of this._iter_visuals()){const{base:i}=this;if(null!=i){const e=i.model.properties[s.attr];if(null!=e&&g.is_equal(s.get_value(),e.get_value())){this._configure(s,{get:()=>i[`${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_range:n,y_range: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=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;h{const s=new Uint32Array(r);for(let n=0;n>1;i[s]>n?e=s:t=s+1}return i[t]}class r extends o.default{search_indices(n,i,t,e){if(this._pos!==this._boxes.length)throw new Error(\"Data not yet indexed - call index.finish().\");let s=this._boxes.length-4;const o=[],x=new d.Indices(this.numItems);for(;void 0!==s;){const d=Math.min(s+4*this.nodeSize,h(s,this._levelBounds));for(let h=s;h>2];tthis._boxes[h+2]||i>this._boxes[h+3]||(s<4*this.numItems?x.set(d):o.push(d)))}s=o.pop()}return x}}r.__name__=\"_FlatBush\";class l{constructor(n){this.index=null,n>0&&(this.index=new r(n))}add(n,i,t,e){var s;null===(s=this.index)||void 0===s||s.add(n,i,t,e)}add_empty(){var n;null===(n=this.index)||void 0===n||n.add(1/0,1/0,-1/0,-1/0)}finish(){var n;null===(n=this.index)||void 0===n||n.finish()}_normalize(n){let{x0:i,y0:t,x1:e,y1:s}=n;return i>e&&([i,e]=[e,i]),t>s&&([t,s]=[s,t]),{x0:i,y0:t,x1:e,y1:s}}get bbox(){if(null==this.index)return x.empty();{const{minX:n,minY:i,maxX:t,maxY:e}=this.index;return{x0:n,y0:i,x1:t,y1:e}}}indices(n){if(null==this.index)return new d.Indices(0);{const{x0:i,y0:t,x1:e,y1:s}=this._normalize(n);return this.index.search_indices(i,t,e,s)}}bounds(n){const i=x.empty();for(const t of this.indices(n)){const n=this.index._boxes,e=n[4*t+0],s=n[4*t+1],o=n[4*t+2],d=n[4*t+3];oi.x1&&(i.x1=e),di.y1&&(i.y1=s)}return i}}t.SpatialIndex=l,l.__name__=\"SpatialIndex\"},\n", - " function _(t,s,i,e,h){e();const n=t(1).__importDefault(t(103)),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 e=0;e>2]=t,this._boxes[this._pos++]=e,this._boxes[this._pos++]=h,this._boxes[this._pos++]=n,this._boxes[this._pos++]=o}}}search(t,s,i,e,h){if(this._pos!==this._boxes.length)throw new Error(\"Data not yet indexed - call index.finish().\");let n=this._boxes.length-4;const o=[],r=[];for(;void 0!==n;){const a=Math.min(n+4*this.nodeSize,_(n,this._levelBounds));for(let _=n;_>2];ithis._boxes[_+2]||s>this._boxes[_+3]||(n<4*this.numItems?(void 0===h||h(a))&&r.push(a):o.push(a)))}n=o.pop()}return r}neighbors(t,s,i=1/0,e=1/0,h){if(this._pos!==this._boxes.length)throw new Error(\"Data not yet indexed - call index.finish().\");let n=this._boxes.length-4;const o=this._queue,r=[],x=e*e;for(;void 0!==n;){const e=Math.min(n+4*this.nodeSize,_(n,this._levelBounds));for(let i=n;i>2],r=a(t,this._boxes[i],this._boxes[i+2]),_=a(s,this._boxes[i+1],this._boxes[i+3]),x=r*r+_*_;n<4*this.numItems?(void 0===h||h(e))&&o.push(-e-1,x):o.push(e,x)}for(;o.length&&o.peek()<0;){if(o.peekValue()>x)return o.clear(),r;if(r.push(-o.pop()-1),r.length===i)return o.clear(),r}n=o.pop()}return o.clear(),r}}function a(t,s,i){return t>1;s[h]>t?e=h:i=h+1}return s[i]}function x(t,s,i,e,h,n){if(Math.floor(e/n)>=Math.floor(h/n))return;const o=t[e+h>>1];let r=e-1,a=h+1;for(;;){do{r++}while(t[r]o);if(r>=a)break;d(t,s,i,r,a)}x(t,s,i,e,a,n),x(t,s,i,a+1,h,n)}function d(t,s,i,e,h){const n=t[e];t[e]=t[h],t[h]=n;const o=4*e,r=4*h,a=s[o],_=s[o+1],x=s[o+2],d=s[o+3];s[o]=s[r],s[o+1]=s[r+1],s[o+2]=s[r+2],s[o+3]=s[r+3],s[r]=a,s[r+1]=_,s[r+2]=x,s[r+3]=d;const m=i[e];i[e]=i[h],i[h]=m}function m(t,s){let i=t^s,e=65535^i,h=65535^(t|s),n=t&(65535^s),o=i|e>>1,r=i>>1^i,a=h>>1^e&n>>1^h,_=i&h>>1^n>>1^n;i=o,e=r,h=a,n=_,o=i&i>>2^e&e>>2,r=i&e>>2^e&(i^e)>>2,a^=i&h>>2^e&n>>2,_^=e&h>>2^(i^e)&n>>2,i=o,e=r,h=a,n=_,o=i&i>>4^e&e>>4,r=i&e>>4^e&(i^e)>>4,a^=i&h>>4^e&n>>4,_^=e&h>>4^(i^e)&n>>4,i=o,e=r,h=a,n=_,a^=i&h>>8^e&n>>8,_^=e&h>>8^(i^e)&n>>8,i=a^a>>1,e=_^_>>1;let x=t^s,d=e|65535^(x|i);return x=16711935&(x|x<<8),x=252645135&(x|x<<4),x=858993459&(x|x<<2),x=1431655765&(x|x<<1),d=16711935&(d|d<<8),d=252645135&(d|d<<4),d=858993459&(d|d<<2),d=1431655765&(d|d<<1),(d<<1|x)>>>0}i.default=r},\n", - " function _(s,t,i,h,e){h();i.default=class{constructor(){this.ids=[],this.values=[],this.length=0}clear(){this.length=0}push(s,t){let i=this.length++;for(this.ids[i]=s,this.values[i]=t;i>0;){const s=i-1>>1,h=this.values[s];if(t>=h)break;this.ids[i]=this.ids[s],this.values[i]=h,i=s}this.ids[i]=s,this.values[i]=t}pop(){if(0===this.length)return;const s=this.ids[0];if(this.length--,this.length>0){const s=this.ids[0]=this.ids[this.length],t=this.values[0]=this.values[this.length],i=this.length>>1;let h=0;for(;h=t)break;this.ids[h]=e,this.values[h]=l,h=s}this.ids[h]=s,this.values[h]=t}return s}peek(){if(0!==this.length)return this.ids[0]}peekValue(){if(0!==this.length)return this.values[0]}}},\n", - " function _(t,n,e,i,s){i();const r=t(105),a=t(20),o=t(21),g=t(24),p=t(9),c=t(8),l=t(11);function u(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+c}return[r,(a.size-1)*n+g]}function d(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,c=0;for(const[t,s]of o){const r=s.length,[o,l]=h(s,e,i,g);c+=l;const u=p.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+c]}e.Factor=o.Or(o.String,o.Tuple(o.String,o.String),o.Tuple(o.String,o.String,o.String)),e.FactorSeq=o.Or(o.Array(o.String),o.Array(o.Tuple(o.String,o.String)),o.Array(o.Tuple(o.String,o.String,o.String))),e.map_one_level=u,e.map_two_levels=h,e.map_three_levels=d;class _ extends r.Range{constructor(t){super(t)}static init_FactorRange(){this.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:[a.PaddingUnits,\"percent\"],start:[t],end:[t]}))),this.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]})))}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:l.unreachable()}}synthetic(t){if(c.isNumber(t))return t;if(c.isString(t))return this._lookup([t]);let n=0;const e=t[t.length-1];return c.isNumber(e)&&(n=e,t=t.slice(0,-1)),this._lookup(t)+n}v_synthetic(t){const n=t.length,e=new g.ScreenArray(n);for(let i=0;i{if(p.every(this.factors,c.isString)){const t=this.factors,[n,e]=u(t,this.factor_padding);return{levels:1,mapping:n,tops:null,mids:null,inside_padding:e}}if(p.every(this.factors,(t=>c.isArray(t)&&2==t.length&&c.isString(t[0])&&c.isString(t[1])))){const t=this.factors,[n,e]=h(t,this.group_padding,this.factor_padding),i=[...n.keys()];return{levels:2,mapping:n,tops:i,mids:null,inside_padding:e}}if(p.every(this.factors,(t=>c.isArray(t)&&3==t.length&&c.isString(t[0])&&c.isString(t[1])&&c.isString(t[2])))){const t=this.factors,[n,e]=d(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}}l.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=_,_.__name__=\"FactorRange\",_.init_FactorRange()},\n", - " function _(e,t,i,n,s){n();const a=e(53);class l extends a.Model{constructor(e){super(e),this.have_updated_interactively=!1}static init_Range(){this.define((({Number:e,Tuple:t,Or:i,Auto:n,Nullable:s})=>({bounds:[s(i(t(s(e),s(e)),n)),null],min_interval:[s(e),null],max_interval:[s(e),null]}))),this.internal((({Array:e,AnyRef:t})=>({plots:[e(t()),[]]})))}get is_reversed(){return this.start>this.end}get is_valid(){return isFinite(this.min)&&isFinite(this.max)}}i.Range=l,l.__name__=\"Range\",l.init_Range()},\n", - " function _(e,t,i,n,l){n();const o=e(1).__importStar(e(107));function a(e,t,{x0:i,x1:n,y0:l,y1:o},a){t.save(),t.beginPath(),t.moveTo(i,(l+o)/2),t.lineTo(n,(l+o)/2),e.line.doit&&(e.line.set_vectorize(t,a),t.stroke()),t.restore()}function r(e,t,{x0:i,x1:n,y0:l,y1:o},a){var r,c;const s=.1*Math.abs(n-i),_=.1*Math.abs(o-l),v=i+s,d=n-s,h=l+_,g=o-_;t.beginPath(),t.rect(v,h,d-v,g-h),e.fill.doit&&(e.fill.set_vectorize(t,a),t.fill()),(null===(r=e.hatch)||void 0===r?void 0:r.doit)&&(e.hatch.set_vectorize(t,a),t.fill()),(null===(c=e.line)||void 0===c?void 0:c.doit)&&(e.line.set_vectorize(t,a),t.stroke())}i.generic_line_scalar_legend=function(e,t,{x0:i,x1:n,y0:l,y1:o}){t.save(),t.beginPath(),t.moveTo(i,(l+o)/2),t.lineTo(n,(l+o)/2),e.line.doit&&(e.line.set_value(t),t.stroke()),t.restore()},i.generic_line_vector_legend=a,i.generic_line_legend=a,i.generic_area_scalar_legend=function(e,t,{x0:i,x1:n,y0:l,y1:o}){var a,r;const c=.1*Math.abs(n-i),s=.1*Math.abs(o-l),_=i+c,v=n-c,d=l+s,h=o-s;t.beginPath(),t.rect(_,d,v-_,h-d),e.fill.doit&&(e.fill.set_value(t),t.fill()),(null===(a=e.hatch)||void 0===a?void 0:a.doit)&&(e.hatch.set_value(t),t.fill()),(null===(r=e.line)||void 0===r?void 0:r.doit)&&(e.line.set_value(t),t.stroke())},i.generic_area_vector_legend=r,i.generic_area_legend=r,i.line_interpolation=function(e,t,i,n,l,a){const{sx:r,sy:c}=t;let s,_,v,d;\"point\"==t.type?([v,d]=e.yscale.r_invert(c-1,c+1),[s,_]=e.xscale.r_invert(r-1,r+1)):\"v\"==t.direction?([v,d]=e.yscale.r_invert(c,c),[s,_]=[Math.min(i-1,l-1),Math.max(i+1,l+1)]):([s,_]=e.xscale.r_invert(r,r),[v,d]=[Math.min(n-1,a-1),Math.max(n+1,a+1)]);const{x:h,y:g}=o.check_2_segments_intersect(s,v,_,d,i,n,l,a);return[h,g]}},\n", - " function _(t,n,e,i,r){function s(t,n){return(t.x-n.x)**2+(t.y-n.y)**2}function o(t,n,e){const i=s(n,e);if(0==i)return s(t,n);const r=((t.x-n.x)*(e.x-n.x)+(t.y-n.y)*(e.y-n.y))/i;if(r<0)return s(t,n);if(r>1)return s(t,e);return s(t,{x:n.x+r*(e.x-n.x),y:n.y+r*(e.y-n.y)})}i(),e.point_in_poly=function(t,n,e,i){let r=!1,s=e[e.length-1],o=i[i.length-1];for(let u=0;u0&&_<1&&h>0&&h<1,x:t+_*(e-t),y:n+_*(i-n)}}}},\n", - " function _(t,e,s,i,a){i();const o=t(1),n=t(109),_=t(113),r=o.__importDefault(t(114)),h=o.__importDefault(t(115)),l=t(22),g=t(46);class u{constructor(t){this._atlas=new Map,this._width=256,this._height=256,this.tex=new n.Texture2d(t),this.tex.set_wrapping(t.REPEAT,t.REPEAT),this.tex.set_interpolation(t.NEAREST,t.NEAREST),this.tex.set_size([this._width,this._height],t.RGBA),this.tex.set_data([0,0],[this._width,this._height],new Uint8Array(4*this._width*this._height)),this.get_atlas_data([1])}get_atlas_data(t){const e=t.join(\"-\");let s=this._atlas.get(e);if(null==s){const[i,a]=this.make_pattern(t),o=this._atlas.size;this.tex.set_data([0,o],[this._width,1],new Uint8Array(i.map((t=>t+10)))),s=[o/this._height,a],this._atlas.set(e,s)}return s}make_pattern(t){t.length>1&&t.length%2&&(t=t.concat(t));let e=0;for(const s of t)e+=s;const s=[];let i=0;for(let e=0,a=t.length+2;es[h]?-1:0,n=s[h-1],i=s[h]),o[4*t+0]=s[h],o[4*t+1]=_,o[4*t+2]=n,o[4*t+3]=i}return[o,e]}}u.__name__=\"DashAtlas\";const f={miter:0,round:1,bevel:2},c={\"\":0,none:0,\".\":0,round:1,\")\":1,\"(\":1,o:1,\"triangle in\":2,\"<\":2,\"triangle out\":3,\">\":3,square:4,\"[\":4,\"]\":4,\"=\":4,butt:5,\"|\":5};class d extends _.BaseGLGlyph{constructor(t,e){super(t,e),this.glyph=e,this._scale_aspect=0;const s=r.default,i=h.default;this.prog=new n.Program(t),this.prog.set_shaders(s,i),this.index_buffer=new n.IndexBuffer(t),this.vbo_position=new n.VertexBuffer(t),this.vbo_tangents=new n.VertexBuffer(t),this.vbo_segment=new n.VertexBuffer(t),this.vbo_angles=new n.VertexBuffer(t),this.vbo_texcoord=new n.VertexBuffer(t),this.dash_atlas=new u(t)}draw(t,e,s){const i=e.glglyph;if(i.data_changed&&(i._set_data(),i.data_changed=!1),this.visuals_changed&&(this._set_visuals(),this.visuals_changed=!1),i._update_scale(1,1),this._scale_aspect=1,this.prog.set_attribute(\"a_position\",\"vec2\",i.vbo_position),this.prog.set_attribute(\"a_tangents\",\"vec4\",i.vbo_tangents),this.prog.set_attribute(\"a_segment\",\"vec2\",i.vbo_segment),this.prog.set_attribute(\"a_angles\",\"vec2\",i.vbo_angles),this.prog.set_attribute(\"a_texcoord\",\"vec2\",i.vbo_texcoord),this.prog.set_uniform(\"u_length\",\"float\",[i.cumsum]),this.prog.set_texture(\"u_dash_atlas\",this.dash_atlas.tex),this.prog.set_uniform(\"u_pixel_ratio\",\"float\",[s.pixel_ratio]),this.prog.set_uniform(\"u_canvas_size\",\"vec2\",[s.width,s.height]),this.prog.set_uniform(\"u_scale_aspect\",\"vec2\",[1,1]),this.prog.set_uniform(\"u_scale_length\",\"float\",[Math.sqrt(2)]),this.I_triangles=i.I_triangles,this.I_triangles.length<65535)this.index_buffer.set_size(2*this.I_triangles.length),this.index_buffer.set_data(0,new Uint16Array(this.I_triangles)),this.prog.draw(this.gl.TRIANGLES,this.index_buffer);else{t=Array.from(this.I_triangles);const e=this.I_triangles.length,s=64008,a=[];for(let t=0,i=Math.ceil(e/s);t1)for(let e=0;e0||console.log(`Variable ${t} is not an active attribute`));else if(this._unset_variables.has(t)&&this._unset_variables.delete(t),this.activate(),i instanceof r.VertexBuffer){const[r,o]=this.ATYPEINFO[e],l=\"vertexAttribPointer\",_=[r,o,n,s,a];this._attributes.set(t,[i.handle,h,l,_])}else{const s=this.ATYPEMAP[e];this._attributes.set(t,[null,h,s,i])}}_pre_draw(){this.activate();for(const[t,e,i]of this._samplers.values())this.gl.activeTexture(this.gl.TEXTURE0+i),this.gl.bindTexture(t,e);for(const[t,e,i,s]of this._attributes.values())null!=t?(this.gl.bindBuffer(this.gl.ARRAY_BUFFER,t),this.gl.enableVertexAttribArray(e),this.gl[i].apply(this.gl,[e,...s])):(this.gl.bindBuffer(this.gl.ARRAY_BUFFER,null),this.gl.disableVertexAttribArray(e),this.gl[i].apply(this.gl,[e,...s]));this._validated||(this._validated=!0,this._validate())}_validate(){if(this._unset_variables.size&&console.log(`Program has unset variables: ${this._unset_variables}`),this.gl.validateProgram(this.handle),!this.gl.getProgramParameter(this.handle,this.gl.VALIDATE_STATUS))throw console.log(this.gl.getProgramInfoLog(this.handle)),new Error(\"Program validation error\")}draw(t,e){if(!this._linked)throw new Error(\"Cannot draw program if code has not been set\");if(e instanceof r.IndexBuffer){this._pre_draw(),e.activate();const i=e.buffer_size/2,s=this.gl.UNSIGNED_SHORT;this.gl.drawElements(t,i,s,0),e.deactivate()}else{const[i,s]=e;0!=s&&(this._pre_draw(),this.gl.drawArrays(t,i,s))}}}i.Program=n,n.__name__=\"Program\"},\n", - " function _(t,e,s,i,a){i();class r{constructor(t){this.gl=t,this._usage=35048,this.buffer_size=0,this.handle=this.gl.createBuffer()}delete(){this.gl.deleteBuffer(this.handle)}activate(){this.gl.bindBuffer(this._target,this.handle)}deactivate(){this.gl.bindBuffer(this._target,null)}set_size(t){t!=this.buffer_size&&(this.activate(),this.gl.bufferData(this._target,t,this._usage),this.buffer_size=t)}set_data(t,e){this.activate(),this.gl.bufferSubData(this._target,t,e)}}s.Buffer=r,r.__name__=\"Buffer\";class f extends r{constructor(){super(...arguments),this._target=34962}}s.VertexBuffer=f,f.__name__=\"VertexBuffer\";class h extends r{constructor(){super(...arguments),this._target=34963}}s.IndexBuffer=h,h.__name__=\"IndexBuffer\"},\n", - " function _(t,e,i,a,r){a();const s=t(11);class h{constructor(t){this.gl=t,this._target=3553,this._types={Int8Array:5120,Uint8Array:5121,Int16Array:5122,Uint16Array:5123,Int32Array:5124,Uint32Array:5125,Float32Array:5126},this.handle=this.gl.createTexture()}delete(){this.gl.deleteTexture(this.handle)}activate(){this.gl.bindTexture(this._target,this.handle)}deactivate(){this.gl.bindTexture(this._target,0)}_get_alignment(t){const e=[4,8,2,1];for(const i of e)if(t%i==0)return i;s.unreachable()}set_wrapping(t,e){this.activate(),this.gl.texParameterf(this._target,this.gl.TEXTURE_WRAP_S,t),this.gl.texParameterf(this._target,this.gl.TEXTURE_WRAP_T,e)}set_interpolation(t,e){this.activate(),this.gl.texParameterf(this._target,this.gl.TEXTURE_MIN_FILTER,t),this.gl.texParameterf(this._target,this.gl.TEXTURE_MAG_FILTER,e)}set_size([t,e],i){var a,r,s;t==(null===(a=this._shape_format)||void 0===a?void 0:a.width)&&e==(null===(r=this._shape_format)||void 0===r?void 0:r.height)&&i==(null===(s=this._shape_format)||void 0===s?void 0:s.format)||(this._shape_format={width:t,height:e,format:i},this.activate(),this.gl.texImage2D(this._target,0,i,t,e,0,i,this.gl.UNSIGNED_BYTE,null))}set_data(t,[e,i],a){this.activate();const{format:r}=this._shape_format,[s,h]=t,l=this._types[a.constructor.name];if(null==l)throw new Error(`Type ${a.constructor.name} not allowed for texture`);const _=this._get_alignment(e);4!=_&&this.gl.pixelStorei(this.gl.UNPACK_ALIGNMENT,_),this.gl.texSubImage2D(this._target,0,s,h,e,i,r,l,a),4!=_&&this.gl.pixelStorei(this.gl.UNPACK_ALIGNMENT,4)}}i.Texture2d=h,h.__name__=\"Texture2d\"},\n", - " function _(e,t,s,i,h){i();class a{constructor(e,t){this.gl=e,this.glyph=t,this.nvertices=0,this.size_changed=!1,this.data_changed=!1,this.visuals_changed=!1}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", - " function _(n,e,t,a,i){a();t.default=\"\\nprecision mediump float;\\n\\nconst float PI = 3.14159265358979323846264;\\nconst float THETA = 15.0 * 3.14159265358979323846264/180.0;\\n\\nuniform float u_pixel_ratio;\\nuniform vec2 u_canvas_size, u_offset;\\nuniform vec2 u_scale_aspect;\\nuniform float u_scale_length;\\n\\nuniform vec4 u_color;\\nuniform float u_antialias;\\nuniform float u_length;\\nuniform float u_linewidth;\\nuniform float u_dash_index;\\nuniform float u_closed;\\n\\nattribute vec2 a_position;\\nattribute vec4 a_tangents;\\nattribute vec2 a_segment;\\nattribute vec2 a_angles;\\nattribute vec2 a_texcoord;\\n\\nvarying vec4 v_color;\\nvarying vec2 v_segment;\\nvarying vec2 v_angles;\\nvarying vec2 v_texcoord;\\nvarying vec2 v_miter;\\nvarying float v_length;\\nvarying float v_linewidth;\\n\\nfloat cross(in vec2 v1, in vec2 v2)\\n{\\n return v1.x*v2.y - v1.y*v2.x;\\n}\\n\\nfloat signed_distance(in vec2 v1, in vec2 v2, in vec2 v3)\\n{\\n return cross(v2-v1,v1-v3) / length(v2-v1);\\n}\\n\\nvoid rotate( in vec2 v, in float alpha, out vec2 result )\\n{\\n float c = cos(alpha);\\n float s = sin(alpha);\\n result = vec2( c*v.x - s*v.y,\\n s*v.x + c*v.y );\\n}\\n\\nvoid main()\\n{\\n bool closed = (u_closed > 0.0);\\n\\n // Attributes and uniforms to varyings\\n v_color = u_color;\\n v_linewidth = u_linewidth;\\n v_segment = a_segment * u_scale_length;\\n v_length = u_length * u_scale_length;\\n\\n // Scale to map to pixel coordinates. The original algorithm from the paper\\n // assumed isotropic scale. We obviously do not have this.\\n vec2 abs_scale_aspect = abs(u_scale_aspect);\\n vec2 abs_scale = u_scale_length * abs_scale_aspect;\\n\\n // Correct angles for aspect ratio\\n vec2 av;\\n av = vec2(1.0, tan(a_angles.x)) / abs_scale_aspect;\\n v_angles.x = atan(av.y, av.x);\\n av = vec2(1.0, tan(a_angles.y)) / abs_scale_aspect;\\n v_angles.y = atan(av.y, av.x);\\n\\n // Thickness below 1 pixel are represented using a 1 pixel thickness\\n // and a modified alpha\\n v_color.a = min(v_linewidth, v_color.a);\\n v_linewidth = max(v_linewidth, 1.0);\\n\\n // If color is fully transparent we just will discard the fragment anyway\\n if( v_color.a <= 0.0 ) {\\n gl_Position = vec4(0.0,0.0,0.0,1.0);\\n return;\\n }\\n\\n // This is the actual half width of the line\\n float w = ceil(u_antialias+v_linewidth)/2.0;\\n\\n vec2 position = a_position;\\n\\n vec2 t1 = normalize(a_tangents.xy * abs_scale_aspect); // note the scaling for aspect ratio here\\n vec2 t2 = normalize(a_tangents.zw * abs_scale_aspect);\\n float u = a_texcoord.x;\\n float v = a_texcoord.y;\\n vec2 o1 = vec2( +t1.y, -t1.x);\\n vec2 o2 = vec2( +t2.y, -t2.x);\\n\\n // This is a join\\n // ----------------------------------------------------------------\\n if( t1 != t2 ) {\\n float angle = atan (t1.x*t2.y-t1.y*t2.x, t1.x*t2.x+t1.y*t2.y); // Angle needs recalculation for some reason\\n vec2 t = normalize(t1+t2);\\n vec2 o = vec2( + t.y, - t.x);\\n\\n if ( u_dash_index > 0.0 )\\n {\\n // Broken angle\\n // ----------------------------------------------------------------\\n if( (abs(angle) > THETA) ) {\\n position += v * w * o / cos(angle/2.0);\\n float s = sign(angle);\\n if( angle < 0.0 ) {\\n if( u == +1.0 ) {\\n u = v_segment.y + v * w * tan(angle/2.0);\\n if( v == 1.0 ) {\\n position -= 2.0 * w * t1 / sin(angle);\\n u -= 2.0 * w / sin(angle);\\n }\\n } else {\\n u = v_segment.x - v * w * tan(angle/2.0);\\n if( v == 1.0 ) {\\n position += 2.0 * w * t2 / sin(angle);\\n u += 2.0*w / sin(angle);\\n }\\n }\\n } else {\\n if( u == +1.0 ) {\\n u = v_segment.y + v * w * tan(angle/2.0);\\n if( v == -1.0 ) {\\n position += 2.0 * w * t1 / sin(angle);\\n u += 2.0 * w / sin(angle);\\n }\\n } else {\\n u = v_segment.x - v * w * tan(angle/2.0);\\n if( v == -1.0 ) {\\n position -= 2.0 * w * t2 / sin(angle);\\n u -= 2.0*w / sin(angle);\\n }\\n }\\n }\\n // Continuous angle\\n // ------------------------------------------------------------\\n } else {\\n position += v * w * o / cos(angle/2.0);\\n if( u == +1.0 ) u = v_segment.y;\\n else u = v_segment.x;\\n }\\n }\\n\\n // Solid line\\n // --------------------------------------------------------------------\\n else\\n {\\n position.xy += v * w * o / cos(angle/2.0);\\n if( angle < 0.0 ) {\\n if( u == +1.0 ) {\\n u = v_segment.y + v * w * tan(angle/2.0);\\n } else {\\n u = v_segment.x - v * w * tan(angle/2.0);\\n }\\n } else {\\n if( u == +1.0 ) {\\n u = v_segment.y + v * w * tan(angle/2.0);\\n } else {\\n u = v_segment.x - v * w * tan(angle/2.0);\\n }\\n }\\n }\\n\\n // This is a line start or end (t1 == t2)\\n // ------------------------------------------------------------------------\\n } else {\\n position += v * w * o1;\\n if( u == -1.0 ) {\\n u = v_segment.x - w;\\n position -= w * t1;\\n } else {\\n u = v_segment.y + w;\\n position += w * t2;\\n }\\n }\\n\\n // Miter distance\\n // ------------------------------------------------------------------------\\n vec2 t;\\n vec2 curr = a_position * abs_scale;\\n if( a_texcoord.x < 0.0 ) {\\n vec2 next = curr + t2*(v_segment.y-v_segment.x);\\n\\n rotate( t1, +v_angles.x/2.0, t);\\n v_miter.x = signed_distance(curr, curr+t, position);\\n\\n rotate( t2, +v_angles.y/2.0, t);\\n v_miter.y = signed_distance(next, next+t, position);\\n } else {\\n vec2 prev = curr - t1*(v_segment.y-v_segment.x);\\n\\n rotate( t1, -v_angles.x/2.0,t);\\n v_miter.x = signed_distance(prev, prev+t, position);\\n\\n rotate( t2, -v_angles.y/2.0,t);\\n v_miter.y = signed_distance(curr, curr+t, position);\\n }\\n\\n if (!closed && v_segment.x <= 0.0) {\\n v_miter.x = 1e10;\\n }\\n if (!closed && v_segment.y >= v_length)\\n {\\n v_miter.y = 1e10;\\n }\\n\\n v_texcoord = vec2( u, v*w );\\n\\n // Calculate position in device coordinates. Note that we\\n // already scaled with abs scale above.\\n vec2 normpos = position * sign(u_scale_aspect);\\n normpos += 0.5; // make up for Bokeh's offset\\n normpos /= u_canvas_size / u_pixel_ratio; // in 0..1\\n gl_Position = vec4(normpos*2.0-1.0, 0.0, 1.0);\\n gl_Position.y *= -1.0;\\n}\\n\"},\n", - " function _(n,t,e,s,a){s();e.default=\"\\nprecision mediump float;\\n\\nconst float PI = 3.14159265358979323846264;\\nconst float THETA = 15.0 * 3.14159265358979323846264/180.0;\\n\\nuniform sampler2D u_dash_atlas;\\n\\nuniform vec2 u_linecaps;\\nuniform float u_miter_limit;\\nuniform float u_linejoin;\\nuniform float u_antialias;\\nuniform float u_dash_phase;\\nuniform float u_dash_period;\\nuniform float u_dash_index;\\nuniform vec2 u_dash_caps;\\nuniform float u_closed;\\n\\nvarying vec4 v_color;\\nvarying vec2 v_segment;\\nvarying vec2 v_angles;\\nvarying vec2 v_texcoord;\\nvarying vec2 v_miter;\\nvarying float v_length;\\nvarying float v_linewidth;\\n\\n// Compute distance to cap ----------------------------------------------------\\nfloat cap( int type, float dx, float dy, float t, float linewidth )\\n{\\n float d = 0.0;\\n dx = abs(dx);\\n dy = abs(dy);\\n if (type == 0) discard; // None\\n else if (type == 1) d = sqrt(dx*dx+dy*dy); // Round\\n else if (type == 3) d = (dx+abs(dy)); // Triangle in\\n else if (type == 2) d = max(abs(dy),(t+dx-abs(dy))); // Triangle out\\n else if (type == 4) d = max(dx,dy); // Square\\n else if (type == 5) d = max(dx+t,dy); // Butt\\n return d;\\n}\\n\\n// Compute distance to join -------------------------------------------------\\nfloat join( in int type, in float d, in vec2 segment, in vec2 texcoord, in vec2 miter,\\n in float linewidth )\\n{\\n // texcoord.x is distance from start\\n // texcoord.y is distance from centerline\\n // segment.x and y indicate the limits (as for texcoord.x) for this segment\\n\\n float dx = texcoord.x;\\n\\n // Round join\\n if( type == 1 ) {\\n if (dx < segment.x) {\\n d = max(d,length( texcoord - vec2(segment.x,0.0)));\\n //d = length( texcoord - vec2(segment.x,0.0));\\n } else if (dx > segment.y) {\\n d = max(d,length( texcoord - vec2(segment.y,0.0)));\\n //d = length( texcoord - vec2(segment.y,0.0));\\n }\\n }\\n // Bevel join\\n else if ( type == 2 ) {\\n if (dx < segment.x) {\\n vec2 x = texcoord - vec2(segment.x,0.0);\\n d = max(d, max(abs(x.x), abs(x.y)));\\n\\n } else if (dx > segment.y) {\\n vec2 x = texcoord - vec2(segment.y,0.0);\\n d = max(d, max(abs(x.x), abs(x.y)));\\n }\\n /* Original code for bevel which does not work for us\\n if( (dx < segment.x) || (dx > segment.y) )\\n d = max(d, min(abs(x.x),abs(x.y)));\\n */\\n }\\n\\n return d;\\n}\\n\\nvoid main()\\n{\\n // If color is fully transparent we just discard the fragment\\n if( v_color.a <= 0.0 ) {\\n discard;\\n }\\n\\n // Test if dash pattern is the solid one (0)\\n bool solid = (u_dash_index == 0.0);\\n\\n // Test if path is closed\\n bool closed = (u_closed > 0.0);\\n\\n vec4 color = v_color;\\n float dx = v_texcoord.x;\\n float dy = v_texcoord.y;\\n float t = v_linewidth/2.0-u_antialias;\\n float width = 1.0; //v_linewidth; original code had dashes scale with line width, we do not\\n float d = 0.0;\\n\\n vec2 linecaps = u_linecaps;\\n vec2 dash_caps = u_dash_caps;\\n float line_start = 0.0;\\n float line_stop = v_length;\\n\\n // Apply miter limit; fragments too far into the miter are simply discarded\\n if( (dx < v_segment.x) || (dx > v_segment.y) ) {\\n float into_miter = max(v_segment.x - dx, dx - v_segment.y);\\n if (into_miter > u_miter_limit*v_linewidth/2.0)\\n discard;\\n }\\n\\n // Solid line --------------------------------------------------------------\\n if( solid ) {\\n d = abs(dy);\\n if( (!closed) && (dx < line_start) ) {\\n d = cap( int(u_linecaps.x), abs(dx), abs(dy), t, v_linewidth );\\n }\\n else if( (!closed) && (dx > line_stop) ) {\\n d = cap( int(u_linecaps.y), abs(dx)-line_stop, abs(dy), t, v_linewidth );\\n }\\n else {\\n d = join( int(u_linejoin), abs(dy), v_segment, v_texcoord, v_miter, v_linewidth );\\n }\\n\\n // Dash line --------------------------------------------------------------\\n } else {\\n float segment_start = v_segment.x;\\n float segment_stop = v_segment.y;\\n float segment_center= (segment_start+segment_stop)/2.0;\\n float freq = u_dash_period*width;\\n float u = mod( dx + u_dash_phase*width, freq);\\n vec4 tex = texture2D(u_dash_atlas, vec2(u/freq, u_dash_index)) * 255.0 -10.0; // conversion to int-like\\n float dash_center= tex.x * width;\\n float dash_type = tex.y;\\n float _start = tex.z * width;\\n float _stop = tex.a * width;\\n float dash_start = dx - u + _start;\\n float dash_stop = dx - u + _stop;\\n\\n // Compute extents of the first dash (the one relative to v_segment.x)\\n // Note: this could be computed in the vertex shader\\n if( (dash_stop < segment_start) && (dash_caps.x != 5.0) ) {\\n float u = mod(segment_start + u_dash_phase*width, freq);\\n vec4 tex = texture2D(u_dash_atlas, vec2(u/freq, u_dash_index)) * 255.0 -10.0; // conversion to int-like\\n dash_center= tex.x * width;\\n //dash_type = tex.y;\\n float _start = tex.z * width;\\n float _stop = tex.a * width;\\n dash_start = segment_start - u + _start;\\n dash_stop = segment_start - u + _stop;\\n }\\n\\n // Compute extents of the last dash (the one relatives to v_segment.y)\\n // Note: This could be computed in the vertex shader\\n else if( (dash_start > segment_stop) && (dash_caps.y != 5.0) ) {\\n float u = mod(segment_stop + u_dash_phase*width, freq);\\n vec4 tex = texture2D(u_dash_atlas, vec2(u/freq, u_dash_index)) * 255.0 -10.0; // conversion to int-like\\n dash_center= tex.x * width;\\n //dash_type = tex.y;\\n float _start = tex.z * width;\\n float _stop = tex.a * width;\\n dash_start = segment_stop - u + _start;\\n dash_stop = segment_stop - u + _stop;\\n }\\n\\n // This test if the we are dealing with a discontinuous angle\\n bool discontinuous = ((dx < segment_center) && abs(v_angles.x) > THETA) ||\\n ((dx >= segment_center) && abs(v_angles.y) > THETA);\\n //if( dx < line_start) discontinuous = false;\\n //if( dx > line_stop) discontinuous = false;\\n\\n float d_join = join( int(u_linejoin), abs(dy),\\n v_segment, v_texcoord, v_miter, v_linewidth );\\n\\n // When path is closed, we do not have room for linecaps, so we make room\\n // by shortening the total length\\n if (closed) {\\n line_start += v_linewidth/2.0;\\n line_stop -= v_linewidth/2.0;\\n }\\n\\n // We also need to take antialias area into account\\n //line_start += u_antialias;\\n //line_stop -= u_antialias;\\n\\n // Check is dash stop is before line start\\n if( dash_stop <= line_start ) {\\n discard;\\n }\\n // Check is dash start is beyond line stop\\n if( dash_start >= line_stop ) {\\n discard;\\n }\\n\\n // Check if current dash start is beyond segment stop\\n if( discontinuous ) {\\n // Dash start is beyond segment, we discard\\n if( (dash_start > segment_stop) ) {\\n discard;\\n //gl_FragColor = vec4(1.0,0.0,0.0,.25); return;\\n }\\n\\n // Dash stop is before segment, we discard\\n if( (dash_stop < segment_start) ) {\\n discard; //gl_FragColor = vec4(0.0,1.0,0.0,.25); return;\\n }\\n\\n // Special case for round caps (nicer with this)\\n if( dash_caps.x == 1.0 ) {\\n if( (u > _stop) && (dash_stop > segment_stop ) && (abs(v_angles.y) < PI/2.0)) {\\n discard;\\n }\\n }\\n\\n // Special case for round caps (nicer with this)\\n if( dash_caps.y == 1.0 ) {\\n if( (u < _start) && (dash_start < segment_start ) && (abs(v_angles.x) < PI/2.0)) {\\n discard;\\n }\\n }\\n\\n // Special case for triangle caps (in & out) and square\\n // We make sure the cap stop at crossing frontier\\n if( (dash_caps.x != 1.0) && (dash_caps.x != 5.0) ) {\\n if( (dash_start < segment_start ) && (abs(v_angles.x) < PI/2.0) ) {\\n float a = v_angles.x/2.0;\\n float x = (segment_start-dx)*cos(a) - dy*sin(a);\\n float y = (segment_start-dx)*sin(a) + dy*cos(a);\\n if( x > 0.0 ) discard;\\n // We transform the cap into square to avoid holes\\n dash_caps.x = 4.0;\\n }\\n }\\n\\n // Special case for triangle caps (in & out) and square\\n // We make sure the cap stop at crossing frontier\\n if( (dash_caps.y != 1.0) && (dash_caps.y != 5.0) ) {\\n if( (dash_stop > segment_stop ) && (abs(v_angles.y) < PI/2.0) ) {\\n float a = v_angles.y/2.0;\\n float x = (dx-segment_stop)*cos(a) - dy*sin(a);\\n float y = (dx-segment_stop)*sin(a) + dy*cos(a);\\n if( x > 0.0 ) discard;\\n // We transform the caps into square to avoid holes\\n dash_caps.y = 4.0;\\n }\\n }\\n }\\n\\n // Line cap at start\\n if( (dx < line_start) && (dash_start < line_start) && (dash_stop > line_start) ) {\\n d = cap( int(linecaps.x), dx-line_start, dy, t, v_linewidth);\\n }\\n // Line cap at stop\\n else if( (dx > line_stop) && (dash_stop > line_stop) && (dash_start < line_stop) ) {\\n d = cap( int(linecaps.y), dx-line_stop, dy, t, v_linewidth);\\n }\\n // Dash cap left - dash_type = -1, 0 or 1, but there may be roundoff errors\\n else if( dash_type < -0.5 ) {\\n d = cap( int(dash_caps.y), abs(u-dash_center), dy, t, v_linewidth);\\n if( (dx > line_start) && (dx < line_stop) )\\n d = max(d,d_join);\\n }\\n // Dash cap right\\n else if( dash_type > 0.5 ) {\\n d = cap( int(dash_caps.x), abs(dash_center-u), dy, t, v_linewidth);\\n if( (dx > line_start) && (dx < line_stop) )\\n d = max(d,d_join);\\n }\\n // Dash body (plain)\\n else {// if( dash_type > -0.5 && dash_type < 0.5) {\\n d = abs(dy);\\n }\\n\\n // Line join\\n if( (dx > line_start) && (dx < line_stop)) {\\n if( (dx <= segment_start) && (dash_start <= segment_start)\\n && (dash_stop >= segment_start) ) {\\n d = d_join;\\n // Antialias at outer border\\n float angle = PI/2.+v_angles.x;\\n float f = abs( (segment_start - dx)*cos(angle) - dy*sin(angle));\\n d = max(f,d);\\n }\\n else if( (dx > segment_stop) && (dash_start <= segment_stop)\\n && (dash_stop >= segment_stop) ) {\\n d = d_join;\\n // Antialias at outer border\\n float angle = PI/2.+v_angles.y;\\n float f = abs((dx - segment_stop)*cos(angle) - dy*sin(angle));\\n d = max(f,d);\\n }\\n else if( dx < (segment_start - v_linewidth/2.)) {\\n discard;\\n }\\n else if( dx > (segment_stop + v_linewidth/2.)) {\\n discard;\\n }\\n }\\n else if( dx < (segment_start - v_linewidth/2.)) {\\n discard;\\n }\\n else if( dx > (segment_stop + v_linewidth/2.)) {\\n discard;\\n }\\n }\\n\\n // Distance to border ------------------------------------------------------\\n d = d - t;\\n if( d < 0.0 ) {\\n gl_FragColor = color;\\n } else {\\n d /= u_antialias;\\n gl_FragColor = vec4(color.rgb, exp(-d*d)*color.a);\\n }\\n}\\n\"},\n", - " function _(i,t,s,e,l){e();const a=i(1),n=i(64),_=i(106),o=a.__importStar(i(107)),h=a.__importStar(i(48)),c=i(59);class r extends n.XYGlyphView{_inner_loop(i,t,s,e,l){for(const a of t){const t=s[a],n=e[a];0!=a?isNaN(t+n)?(i.closePath(),l.apply(i),i.beginPath()):i.lineTo(t,n):(i.beginPath(),i.moveTo(t,n))}i.closePath(),l.call(i)}_render(i,t,s){const{sx:e,sy:l}=null!=s?s:this;this.visuals.fill.doit&&(this.visuals.fill.set_value(i),this._inner_loop(i,t,e,l,i.fill)),this.visuals.hatch.doit&&(this.visuals.hatch.set_value(i),this._inner_loop(i,t,e,l,i.fill)),this.visuals.line.doit&&(this.visuals.line.set_value(i),this._inner_loop(i,t,e,l,i.stroke))}draw_legend_for_index(i,t,s){_.generic_area_scalar_legend(this.visuals,i,t)}_hit_point(i){const t=new c.Selection;return o.point_in_poly(i.sx,i.sy,this.sx,this.sy)&&(t.add_to_selected_glyphs(this.model),t.view=this),t}}s.PatchView=r,r.__name__=\"PatchView\";class p extends n.XYGlyph{constructor(i){super(i)}static init_Patch(){this.prototype.default_view=r,this.mixins([h.LineScalar,h.FillScalar,h.HatchScalar])}}s.Patch=p,p.__name__=\"Patch\",p.init_Patch()},\n", - " function _(t,e,s,i,n){i();const a=t(1),r=t(24),h=t(118),_=a.__importStar(t(107)),l=a.__importStar(t(18)),o=t(59);class c extends h.AreaView{_index_data(t){const{min:e,max:s}=Math,{data_size:i}=this;for(let n=0;n=0;e--)t.lineTo(s[e],i[e]);t.closePath(),n.call(t)}_render(t,e,s){const{sx1:i,sx2:n,sy:a}=null!=s?s:this;this.visuals.fill.doit&&(this.visuals.fill.set_value(t),this._inner(t,i,n,a,t.fill)),this.visuals.hatch.doit&&(this.visuals.hatch.set_value(t),this._inner(t,i,n,a,t.fill))}_hit_point(t){const e=this.sy.length,s=new r.ScreenArray(2*e),i=new r.ScreenArray(2*e);for(let t=0,n=e;t({x1:[l.XCoordinateSpec,{field:\"x1\"}],x2:[l.XCoordinateSpec,{field:\"x2\"}],y:[l.YCoordinateSpec,{field:\"y\"}]})))}}s.HArea=d,d.__name__=\"HArea\",d.init_HArea()},\n", - " function _(e,a,_,i,r){i();const s=e(1),n=e(98),t=e(106),c=s.__importStar(e(48));class l extends n.GlyphView{draw_legend_for_index(e,a,_){t.generic_area_scalar_legend(this.visuals,e,a)}}_.AreaView=l,l.__name__=\"AreaView\";class d extends n.Glyph{constructor(e){super(e)}static init_Area(){this.mixins([c.FillScalar,c.HatchScalar])}}_.Area=d,d.__name__=\"Area\",d.init_Area()},\n", - " function _(t,e,s,i,n){i();const a=t(1),r=t(24),h=t(118),_=a.__importStar(t(107)),l=a.__importStar(t(18)),o=t(59);class c extends h.AreaView{_index_data(t){const{min:e,max:s}=Math,{data_size:i}=this;for(let n=0;n=0;s--)t.lineTo(e[s],i[s]);t.closePath(),n.call(t)}_render(t,e,s){const{sx:i,sy1:n,sy2:a}=null!=s?s:this;this.visuals.fill.doit&&(this.visuals.fill.set_value(t),this._inner(t,i,n,a,t.fill)),this.visuals.hatch.doit&&(this.visuals.hatch.set_value(t),this._inner(t,i,n,a,t.fill))}scenterxy(t){return[this.sx[t],(this.sy1[t]+this.sy2[t])/2]}_hit_point(t){const e=this.sx.length,s=new r.ScreenArray(2*e),i=new r.ScreenArray(2*e);for(let t=0,n=e;t({x:[l.XCoordinateSpec,{field:\"x\"}],y1:[l.YCoordinateSpec,{field:\"y1\"}],y2:[l.YCoordinateSpec,{field:\"y2\"}]})))}}s.VArea=d,d.__name__=\"VArea\",d.init_VArea()},\n", - " function _(i,e,s,t,n){t();const c=i(53),o=i(59),r=i(24),a=i(121),u=i(57);class _ extends c.Model{constructor(i){super(i)}static init_CDSView(){this.define((({Array:i,Ref:e})=>({filters:[i(e(a.Filter)),[]],source:[e(u.ColumnarDataSource)]}))),this.internal((({Int:i,Dict:e,Ref:s,Nullable:t})=>({indices:[s(r.Indices)],indices_map:[e(i),{}],masked:[t(s(r.Indices)),null]})))}initialize(){super.initialize(),this.compute_indices()}connect_signals(){super.connect_signals(),this.connect(this.properties.filters.change,(()=>this.compute_indices()));const i=()=>{const i=()=>this.compute_indices();null!=this.source&&(this.connect(this.source.change,i),this.source instanceof u.ColumnarDataSource&&(this.connect(this.source.streaming,i),this.connect(this.source.patching,i)))};let e=null!=this.source;e?i():this.connect(this.properties.source.change,(()=>{e||(i(),e=!0)}))}compute_indices(){var i;const{source:e}=this;if(null==e)return;const s=null!==(i=e.get_length())&&void 0!==i?i:1,t=r.Indices.all_set(s);for(const i of this.filters)t.intersect(i.compute_indices(e));this.indices=t,this._indices=[...t],this.indices_map_to_subset()}indices_map_to_subset(){this.indices_map={};for(let i=0;ithis._indices[i]));return new o.Selection(Object.assign(Object.assign({},i.attributes),{indices:e}))}convert_selection_to_subset(i){const e=i.indices.map((i=>this.indices_map[i]));return new o.Selection(Object.assign(Object.assign({},i.attributes),{indices:e}))}convert_indices_from_subset(i){return i.map((i=>this._indices[i]))}}s.CDSView=_,_.__name__=\"CDSView\",_.init_CDSView()},\n", - " function _(e,t,n,s,c){s();const o=e(53);class r extends o.Model{constructor(e){super(e)}}n.Filter=r,r.__name__=\"Filter\"},\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=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,r,n,t,i){t();const s=e(62),o=e(61),l=e(124),d=e(125),a=e(126),p=e(122),_=e(64),h=e(127),c=e(128),u=e(11);class y extends s.DataRendererView{get glyph_view(){return this.node_view.glyph}async lazy_initialize(){await super.lazy_initialize();const e=this.model;let r=null,n=null;const t=new class extends l.Expression{_v_compute(n){u.assert(null==r);const[t]=r=e.layout_provider.get_edge_coordinates(n);return t}},i=new class extends l.Expression{_v_compute(e){u.assert(null!=r);const[,n]=r;return r=null,n}},s=new class extends l.Expression{_v_compute(r){u.assert(null==n);const[t]=n=e.layout_provider.get_node_coordinates(r);return t}},o=new class extends l.Expression{_v_compute(e){u.assert(null!=n);const[,r]=n;return n=null,r}},{edge_renderer:d,node_renderer:a}=this.model;if(!(d.glyph instanceof h.MultiLine||d.glyph instanceof c.Patches))throw new Error(`${this}.edge_renderer.glyph must be a MultiLine glyph`);if(!(a.glyph instanceof _.XYGlyph))throw new Error(`${this}.node_renderer.glyph must be a XYGlyph glyph`);d.glyph.properties.xs.internal=!0,d.glyph.properties.ys.internal=!0,a.glyph.properties.x.internal=!0,a.glyph.properties.y.internal=!0,d.glyph.xs={expr:t},d.glyph.ys={expr:i},a.glyph.x={expr:s},a.glyph.y={expr:o};const{parent:y}=this;this.edge_view=await p.build_view(d,{parent:y}),this.node_view=await p.build_view(a,{parent:y})}connect_signals(){super.connect_signals(),this.connect(this.model.layout_provider.change,(()=>{this.edge_view.set_data(),this.node_view.set_data(),this.request_render()}))}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 o.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)}}n.GraphRendererView=y,y.__name__=\"GraphRendererView\";class g extends s.DataRenderer{constructor(e){super(e)}static init_GraphRenderer(){this.prototype.default_view=y,this.define((({Ref:e})=>({layout_provider:[e(d.LayoutProvider)],node_renderer:[e(o.GlyphRenderer)],edge_renderer:[e(o.GlyphRenderer)],selection_policy:[e(a.GraphHitTestPolicy),()=>new a.NodesOnly],inspection_policy:[e(a.GraphHitTestPolicy),()=>new a.NodesOnly]})))}get_selection_manager(){return this.node_renderer.data_source.selection_manager}}n.GraphRenderer=g,g.__name__=\"GraphRenderer\",g.init_GraphRenderer()},\n", - " function _(e,t,s,n,i){n();const c=e(53);class l extends c.Model{constructor(e){super(e)}initialize(){super.initialize(),this._connected=new Set,this._result=new Map}v_compute(e){this._connected.has(e)||(this.connect(e.change,(()=>this._result.delete(e))),this.connect(e.patching,(()=>this._result.delete(e))),this.connect(e.streaming,(()=>this._result.delete(e))),this._connected.add(e));let t=this._result.get(e);return null==t&&(t=this._v_compute(e),this._result.set(e,t)),t}}s.Expression=l,l.__name__=\"Expression\";class h extends c.Model{constructor(e){super(e)}initialize(){super.initialize(),this._connected=new Set,this._result=new Map}compute(e){this._connected.has(e)||(this.connect(e.change,(()=>this._result.delete(e))),this.connect(e.patching,(()=>this._result.delete(e))),this.connect(e.streaming,(()=>this._result.delete(e))),this._connected.add(e));let t=this._result.get(e);return null==t&&(t=this._compute(e),this._result.set(e,t)),t}}s.ScalarExpression=h,h.__name__=\"ScalarExpression\"},\n", - " function _(o,e,r,t,n){t();const s=o(53);class c extends s.Model{constructor(o){super(o)}}r.LayoutProvider=c,c.__name__=\"LayoutProvider\"},\n", - " function _(e,t,d,n,s){n();const o=e(53),r=e(12),_=e(9),i=e(59);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;er.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 _(t,e,i,n,s){n();const o=t(1),l=t(65),r=t(48),_=o.__importStar(t(107)),c=o.__importStar(t(18)),h=t(12),a=t(13),d=t(98),x=t(106),y=t(59);class g extends d.GlyphView{_project_data(){l.inplace.project_xy(this._xs.array,this._ys.array)}_index_data(t){const{data_size:e}=this;for(let i=0;i0&&o.set(t,i)}return new y.Selection({indices:[...o.keys()],multiline_indices:a.to_object(o)})}get_interpolation_hit(t,e,i){const n=this._xs.get(t),s=this._ys.get(t),o=n[e],l=s[e],r=n[e+1],_=s[e+1];return x.line_interpolation(this.renderer,i,o,l,r,_)}draw_legend_for_index(t,e,i){x.generic_line_vector_legend(this.visuals,t,e,i)}scenterxy(){throw new Error(`${this}.scenterxy() is not implemented`)}}i.MultiLineView=g,g.__name__=\"MultiLineView\";class u extends d.Glyph{constructor(t){super(t)}static init_MultiLine(){this.prototype.default_view=g,this.define((({})=>({xs:[c.XCoordinateSeqSpec,{field:\"xs\"}],ys:[c.YCoordinateSeqSpec,{field:\"ys\"}]}))),this.mixins(r.LineVector)}}i.MultiLine=u,u.__name__=\"MultiLine\",u.init_MultiLine()},\n", - " function _(e,t,s,i,n){i();const r=e(1),o=e(98),a=e(106),_=e(12),c=e(48),l=r.__importStar(e(107)),h=r.__importStar(e(18)),d=e(59),y=e(11),p=e(65);class x extends o.GlyphView{_project_data(){p.inplace.project_xy(this._xs.array,this._ys.array)}_index_data(e){const{data_size:t}=this;for(let s=0;s({xs:[h.XCoordinateSeqSpec,{field:\"xs\"}],ys:[h.YCoordinateSeqSpec,{field:\"ys\"}]}))),this.mixins([c.LineVector,c.FillVector,c.HatchVector])}}s.Patches=f,f.__name__=\"Patches\",f.init_Patches()},\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),i=t(57),l=t(8),c=t(13),a=r.__importStar(t(131)),u=t(132),h=t(35);function d(t,n,e){if(l.isArray(t)){const s=t.concat(n);return null!=e&&s.length>e?s.slice(-e):s}if(l.isTypedArray(t)){const s=t.length+n.length;if(null!=e&&s>e){const o=s-e,r=t.length;let i;t.length({data:[t(n),{}]})))}stream(t,n,e){const{data:s}=this;for(const[e,o]of c.entries(t))s[e]=d(s[e],o,n);if(this.setv({data:s},{silent:!0}),this.streaming.emit(),null!=this.document){const s=new h.ColumnsStreamedEvent(this.document,this.ref(),t,n);this.document._notify_change(this,\"data\",null,null,{setter_id:e,hint:s})}}patch(t,n){const{data:e}=this;let s=new Set;for(const[n,o]of c.entries(t))s=u.union(s,m(e[n],o));if(this.setv({data:e},{silent:!0}),this.patching.emit([...s]),null!=this.document){const e=new h.ColumnsPatchedEvent(this.document,this.ref(),t);this.document._notify_change(this,\"data\",null,null,{setter_id:n,hint:e})}}}e.ColumnDataSource=_,_.__name__=\"ColumnDataSource\",_.init_ColumnDataSource()},\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 _(e,i,t,s,o){s();const n=e(1),a=e(53),l=e(42),r=n.__importStar(e(45)),_=e(48),c=n.__importStar(e(18));class d extends l.View{initialize(){super.initialize(),this.visuals=new r.Visuals(this)}request_render(){this.parent.request_render()}get canvas(){return this.parent.canvas}set_data(e){const i=this;for(const t of this.model){if(!(t instanceof c.VectorSpec||t instanceof c.ScalarSpec))continue;const s=t.uniform(e);i[`${t.attr}`]=s}}}t.ArrowHeadView=d,d.__name__=\"ArrowHeadView\";class h extends a.Model{constructor(e){super(e)}static init_ArrowHead(){this.define((()=>({size:[c.NumberSpec,25]})))}}t.ArrowHead=h,h.__name__=\"ArrowHead\",h.init_ArrowHead();class v extends d{clip(e,i){this.visuals.line.set_vectorize(e,i);const t=this.size.get(i);e.moveTo(.5*t,t),e.lineTo(.5*t,-2),e.lineTo(-.5*t,-2),e.lineTo(-.5*t,t),e.lineTo(0,0),e.lineTo(.5*t,t)}render(e,i){if(this.visuals.line.doit){this.visuals.line.set_vectorize(e,i);const t=this.size.get(i);e.beginPath(),e.moveTo(.5*t,t),e.lineTo(0,0),e.lineTo(-.5*t,t),e.stroke()}}}t.OpenHeadView=v,v.__name__=\"OpenHeadView\";class u extends h{constructor(e){super(e)}static init_OpenHead(){this.prototype.default_view=v,this.mixins(_.LineVector)}}t.OpenHead=u,u.__name__=\"OpenHead\",u.init_OpenHead();class m extends d{clip(e,i){this.visuals.line.set_vectorize(e,i);const t=this.size.get(i);e.moveTo(.5*t,t),e.lineTo(.5*t,-2),e.lineTo(-.5*t,-2),e.lineTo(-.5*t,t),e.lineTo(.5*t,t)}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 t=this.size.get(i);e.beginPath(),e.moveTo(.5*t,t),e.lineTo(0,0),e.lineTo(-.5*t,t),e.closePath()}}t.NormalHeadView=m,m.__name__=\"NormalHeadView\";class T extends h{constructor(e){super(e)}static init_NormalHead(){this.prototype.default_view=m,this.mixins([_.LineVector,_.FillVector]),this.override({fill_color:\"black\"})}}t.NormalHead=T,T.__name__=\"NormalHead\",T.init_NormalHead();class p extends d{clip(e,i){this.visuals.line.set_vectorize(e,i);const t=this.size.get(i);e.moveTo(.5*t,t),e.lineTo(.5*t,-2),e.lineTo(-.5*t,-2),e.lineTo(-.5*t,t),e.lineTo(0,.5*t),e.lineTo(.5*t,t)}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 t=this.size.get(i);e.beginPath(),e.moveTo(.5*t,t),e.lineTo(0,0),e.lineTo(-.5*t,t),e.lineTo(0,.5*t),e.closePath()}}t.VeeHeadView=p,p.__name__=\"VeeHeadView\";class H extends h{constructor(e){super(e)}static init_VeeHead(){this.prototype.default_view=p,this.mixins([_.LineVector,_.FillVector]),this.override({fill_color:\"black\"})}}t.VeeHead=H,H.__name__=\"VeeHead\",H.init_VeeHead();class V extends d{render(e,i){if(this.visuals.line.doit){this.visuals.line.set_vectorize(e,i);const t=this.size.get(i);e.beginPath(),e.moveTo(.5*t,0),e.lineTo(-.5*t,0),e.stroke()}}clip(e,i){}}t.TeeHeadView=V,V.__name__=\"TeeHeadView\";class f extends h{constructor(e){super(e)}static init_TeeHead(){this.prototype.default_view=V,this.mixins(_.LineVector)}}t.TeeHead=f,f.__name__=\"TeeHead\",f.init_TeeHead()},\n", - " function _(s,e,i,t,l){t();const _=s(1),o=s(135),r=_.__importStar(s(48));class h extends o.UpperLowerView{paint(s){s.beginPath(),s.moveTo(this._lower_sx[0],this._lower_sy[0]);for(let e=0,i=this._lower_sx.length;e=0;e--)s.lineTo(this._upper_sx[e],this._upper_sy[e]);s.closePath(),this.visuals.fill.doit&&(this.visuals.fill.set_value(s),s.fill()),s.beginPath(),s.moveTo(this._lower_sx[0],this._lower_sy[0]);for(let e=0,i=this._lower_sx.length;e({dimension:[n.Dimension,\"height\"],lower:[h,{field:\"lower\"}],upper:[h,{field:\"upper\"}],base:[h,{field:\"base\"}]})))}}i.UpperLower=d,d.__name__=\"UpperLower\",d.init_UpperLower()},\n", - " function _(t,i,o,n,e){n();const s=t(1),l=t(40),a=s.__importStar(t(48)),r=t(20),h=t(99);o.EDGE_TOLERANCE=2.5;class c extends l.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:i,top:o,bottom:n}=this.model;if(null==t&&null==i&&null==o&&null==n)return;const{frame:e}=this.plot_view,s=this.coordinates.x_scale,l=this.coordinates.y_scale,a=(t,i,o,n,e)=>{let s;return s=null!=t?this.model.screen?t:\"data\"==i?o.compute(t):n.compute(t):e,s};this.bbox=h.BBox.from_rect({left:a(t,this.model.left_units,s,e.bbox.xview,e.bbox.left),right:a(i,this.model.right_units,s,e.bbox.xview,e.bbox.right),top:a(o,this.model.top_units,l,e.bbox.yview,e.bbox.top),bottom:a(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:i,top:o,width:n,height:e}=this.bbox;t.beginPath(),t.rect(i,o,n,e),this.visuals.fill.doit&&(this.visuals.fill.set_value(t),t.fill()),this.visuals.hatch.doit&&(this.visuals.hatch.set_value(t),t.fill()),this.visuals.line.doit&&(this.visuals.line.set_value(t),t.stroke()),t.restore()}interactive_bbox(){const t=this.model.line_width+o.EDGE_TOLERANCE;return this.bbox.grow_by(t)}interactive_hit(t,i){if(null==this.model.in_cursor)return!1;return this.interactive_bbox().contains(t,i)}cursor(t,i){const{left:o,right:n,bottom:e,top:s}=this.bbox;return Math.abs(t-o)<3||Math.abs(t-n)<3?this.model.ew_cursor:Math.abs(i-e)<3||Math.abs(i-s)<3?this.model.ns_cursor:this.bbox.contains(t,i)?this.model.in_cursor:null}}o.BoxAnnotationView=c,c.__name__=\"BoxAnnotationView\";class u extends l.Annotation{constructor(t){super(t)}static init_BoxAnnotation(){this.prototype.default_view=c,this.mixins([a.Line,a.Fill,a.Hatch]),this.define((({Number:t,Nullable:i})=>({top:[i(t),null],top_units:[r.SpatialUnits,\"data\"],bottom:[i(t),null],bottom_units:[r.SpatialUnits,\"data\"],left:[i(t),null],left_units:[r.SpatialUnits,\"data\"],right:[i(t),null],right_units:[r.SpatialUnits,\"data\"],render_mode:[r.RenderMode,\"canvas\"]}))),this.internal((({Boolean:t,String:i,Nullable:o})=>({screen:[t,!1],ew_cursor:[o(i),null],ns_cursor:[o(i),null],in_cursor:[o(i),null]}))),this.override({fill_color:\"#fff9ba\",fill_alpha:.4,line_color:\"#cccccc\",line_alpha:.3})}update({left:t,right:i,top:o,bottom:n}){this.setv({left:t,right:i,top:o,bottom:n,screen:!0})}}o.BoxAnnotation=u,u.__name__=\"BoxAnnotation\",u.init_BoxAnnotation()},\n", - " function _(t,e,i,a,n){a();const o=t(1),r=t(40),s=t(138),l=t(144),_=t(162),c=t(165),h=t(198),u=t(166),p=t(205),m=t(169),g=t(203),d=t(202),f=t(209),w=t(217),b=t(220),v=t(20),y=o.__importStar(t(48)),k=t(9),x=t(221),C=t(222),j=t(225),z=t(140),L=t(11),S=t(122),M=t(8);class T extends r.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 f.LogColorMapper:return new h.LogTicker;case i instanceof f.ScanningColorMapper:return new h.BinnedTicker({mapper:i});case i instanceof f.CategoricalColorMapper:return new h.CategoricalTicker;default:return new h.BasicTicker}})(),this._formatter=\"auto\"!=e?e:(()=>{switch(!0){case this._ticker instanceof h.LogTicker:return new p.LogTickFormatter;case i instanceof f.CategoricalColorMapper:return new p.CategoricalTickFormatter;default:return new p.BasicTickFormatter}})(),this._major_range=(()=>{if(i instanceof f.CategoricalColorMapper){const{factors:t}=i;return new b.FactorRange({factors:t})}if(i instanceof d.ContinuousColorMapper){const{min:t,max:e}=i.metrics;return new b.Range1d({start:t,end:e})}L.unreachable()})(),this._major_scale=(()=>{if(i instanceof f.LinearColorMapper)return new w.LinearScale;if(i instanceof f.LogColorMapper)return new w.LogScale;if(i instanceof f.ScanningColorMapper){const{binning:t}=i.metrics;return new w.LinearInterpolationScale({binning:t})}if(i instanceof f.CategoricalColorMapper)return new w.CategoricalScale;L.unreachable()})(),this._minor_range=new b.Range1d({start:0,end:1}),this._minor_scale=new w.LinearScale;const a=y.attrs_of(this.model,\"major_label_\",y.Text,!0),n=y.attrs_of(this.model,\"major_tick_\",y.Line,!0),o=y.attrs_of(this.model,\"minor_tick_\",y.Line,!0),r=y.attrs_of(this.model,\"title_\",y.Text),l=i instanceof f.CategoricalColorMapper?_.CategoricalAxis:i instanceof f.LogColorMapper?_.LogAxis:_.LinearAxis;this._axis=new l(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},a),n),o));const{title:c}=this.model;c&&(this._title=new s.Title(Object.assign({text:c,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 S.build_view(this._axis,{parent:e}),null!=this._title&&(this._title_view=await S.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 d.ContinuousColorMapper&&t instanceof b.Range1d){const{min:e,max:a}=i.metrics;t.setv({start:e,end:a})}if(i instanceof f.ScanningColorMapper&&e instanceof w.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?k.reversed(e):e})(),[i,a]=\"vertical\"==t?[1,e.length]:[e.length,1],n=this._image=document.createElement(\"canvas\");n.width=i,n.height=a;const o=n.getContext(\"2d\"),r=o.getImageData(0,0,i,a),s=new f.LinearColorMapper({palette:e}).rgba_mapper.v_compute(k.range(0,e.length));r.data.set(s),o.putImageData(r,0,0)}update_layout(){const{location:t,width:e,height:i,padding:a,margin:n}=this.model,[o,r]=(()=>{if(!M.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\"==o?\"vertical\":\"horizontal\":t})(),_=new C.NodeLayout,c=new C.VStack,h=new C.VStack,u=new C.HStack,p=new C.HStack;_.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 l.CartesianFrame(m,g,d,f),_.on_resize((t=>this._frame.set_geometry(t)));const w=new j.BorderLayout;this._inner_layout=w,w.absolute=!0,w.center_panel=_,w.top_panel=c,w.bottom_panel=h,w.left_panel=u,w.right_panel=p;const b={left:a,right:a,top:a,bottom:a},v=(()=>{if(null==this.panel){if(M.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(!M.isString(t)){const[e,i]=t;return{left:e,right:0,top:0,bottom:i}}})();let y,k,L,S;if(w.padding=b,null!=this.panel?(y=\"max\",k=void 0,L=void 0,S=void 0):\"auto\"==(\"horizontal\"==s?e:i)?(y=\"fixed\",k=25*this.model.color_mapper.palette.length,L={percent:.3},S={percent:.8}):(y=\"fit\",k=void 0),\"horizontal\"==s){const t=\"auto\"==e?void 0:e,a=\"auto\"==i?25:i;w.set_sizing({width_policy:y,height_policy:\"min\",width:k,min_width:L,max_width:S,halign:r,valign:o,margin:v}),w.center_panel.set_sizing({width_policy:\"auto\"==e?\"fit\":\"fixed\",height_policy:\"fixed\",width:t,height:a})}else{const t=\"auto\"==e?25:e,a=\"auto\"==i?void 0:i;w.set_sizing({width_policy:\"min\",height_policy:y,height:k,min_height:L,max_height:S,halign:r,valign:o,margin:v}),w.center_panel.set_sizing({width_policy:\"fixed\",height_policy:\"auto\"==i?\"fit\":\"fixed\",width:t,height:a})}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:T}=this;null!=T&&(\"horizontal\"==s?(T.panel=new z.Panel(\"above\"),T.update_layout(),c.children.push(T.layout)):(T.panel=new z.Panel(\"left\"),T.update_layout(),u.children.push(T.layout)));const{panel:B}=this,A=null!=B&&s==B.orientation?B.side:\"horizontal\"==s?\"below\":\"right\",O=(()=>{switch(A){case\"above\":return c;case\"below\":return h;case\"left\":return u;case\"right\":return p}})(),{_axis_view:R}=this;if(R.panel=new z.Panel(A),R.update_layout(),O.children.push(R.layout),null!=this.panel){const t=new x.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:F}=this.model;this.layout.sizing.visible=F,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:a}=e;let{width:n,height:o}=e;i+n>=this.parent.canvas_view.bbox.width&&(n-=1),a+o>=this.parent.canvas_view.bbox.height&&(o-=1),t.save(),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(t),t.fillRect(i,a,n,o)),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(t),t.strokeRect(i,a,n,o)),t.restore()}_paint_image(t,e){const{x:i,y:a,width:n,height:o}=e;t.save(),t.setImageSmoothingEnabled(!1),t.globalAlpha=this.model.scale_alpha,t.drawImage(this._image,i,a,n,o),this.visuals.bar_line.doit&&(this.visuals.bar_line.set_value(t),t.strokeRect(i,a,n,o)),t.restore()}serializable_state(){const t=super.serializable_state(),{children:e=[]}=t,i=o.__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=T,T.__name__=\"ColorBarView\";class B extends r.Annotation{constructor(t){super(t)}static init_ColorBar(){this.prototype.default_view=T,this.mixins([[\"major_label_\",y.Text],[\"title_\",y.Text],[\"major_tick_\",y.Line],[\"minor_tick_\",y.Line],[\"border_\",y.Line],[\"bar_\",y.Line],[\"background_\",y.Fill]]),this.define((({Alpha:t,Number:e,String:i,Tuple:a,Dict:n,Or:o,Ref:r,Auto:s,Nullable:l})=>({location:[o(v.Anchor,a(e,e)),\"top_right\"],orientation:[o(v.Orientation,s),\"auto\"],title:[l(i),null],title_standoff:[e,2],width:[o(e,s),\"auto\"],height:[o(e,s),\"auto\"],scale_alpha:[t,1],ticker:[o(r(c.Ticker),s),\"auto\"],formatter:[o(r(u.TickFormatter),s),\"auto\"],major_label_overrides:[n(i),{}],major_label_policy:[r(m.LabelingPolicy),()=>new m.NoOverlap],color_mapper:[r(g.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]}))),this.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\"})}}i.ColorBar=B,B.__name__=\"ColorBar\",B.init_ColorBar()},\n", - " function _(t,e,i,s,l){s();const o=t(1),a=t(139),n=t(20),r=t(143),c=o.__importStar(t(48));class h extends a.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;if(null==t||0==t.length)return{width:0,height:0};{const{ctx:e}=this.layer;this.visuals.text.set_value(e);const{width:i}=this.layer.ctx.measureText(t),{height:s}=r.font_metrics(e.font);return{width:i,height:2+s*this.model.text_line_height+this.model.standoff}}}}i.TitleView=h,h.__name__=\"TitleView\";class _ extends a.TextAnnotation{constructor(t){super(t)}static init_Title(){this.prototype.default_view=h,this.mixins([c.Text,[\"border_\",c.Line],[\"background_\",c.Fill]]),this.define((({Number:t,String:e})=>({text:[e,\"\"],vertical_align:[n.VerticalAlign,\"bottom\"],align:[n.TextAlign,\"left\"],offset:[t,0],standoff:[t,10]}))),this.prototype._props.text_align.options.internal=!0,this.prototype._props.text_baseline.options.internal=!0,this.override({text_font_size:\"13px\",text_font_style:\"bold\",text_line_height:1,background_fill_color:null,border_line_color:null})}}i.Title=_,_.__name__=\"Title\",_.init_Title()},\n", - " function _(e,t,s,i,n){i();const l=e(40),a=e(43),o=e(20),r=e(140),d=e(143),c=e(11);class _ extends l.AnnotationView{update_layout(){const{panel:e}=this;this.layout=null!=e?new r.SideLayout(e,(()=>this.get_size()),!0):void 0}initialize(){super.initialize(),\"css\"==this.model.render_mode&&(this.el=a.div(),this.plot_view.canvas_view.add_overlay(this.el))}remove(){null!=this.el&&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||a.undisplay(this.el),super.render()}_calculate_text_dimensions(e,t){const{width:s}=e.measureText(t),{height:i}=d.font_metrics(this.visuals.text.font_value());return[s,i]}_calculate_bounding_box_dimensions(e,t){const[s,i]=this._calculate_text_dimensions(e,t);let n,l;switch(e.textAlign){case\"left\":n=0;break;case\"center\":n=-s/2;break;case\"right\":n=-s;break;default:c.unreachable()}switch(e.textBaseline){case\"top\":l=0;break;case\"middle\":l=-.5*i;break;case\"bottom\":l=-1*i;break;case\"alphabetic\":l=-.8*i;break;case\"hanging\":l=-.17*i;break;case\"ideographic\":l=-.83*i;break;default:c.unreachable()}return[n,l,s,i]}_canvas_text(e,t,s,i,n){this.visuals.text.set_value(e);const l=this._calculate_bounding_box_dimensions(e,t);e.save(),e.beginPath(),e.translate(s,i),n&&e.rotate(n),e.rect(l[0],l[1],l[2],l[3]),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(e),e.fill()),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(e),e.stroke()),this.visuals.text.doit&&(this.visuals.text.set_value(e),e.fillText(t,0,0)),e.restore()}_css_text(e,t,s,i,n){const{el:l}=this;c.assert(null!=l),a.undisplay(l),this.visuals.text.set_value(e);const[o,r]=this._calculate_bounding_box_dimensions(e,t);l.style.position=\"absolute\",l.style.left=`${s+o}px`,l.style.top=`${i+r}px`,l.style.color=e.fillStyle,l.style.font=e.font,l.style.lineHeight=\"normal\",n&&(l.style.transform=`rotate(${n}rad)`),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(e),l.style.backgroundColor=e.fillStyle),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(e),l.style.borderStyle=e.lineDash.length<2?\"solid\":\"dashed\",l.style.borderWidth=`${e.lineWidth}px`,l.style.borderColor=e.strokeStyle),l.textContent=t,a.display(l)}}s.TextAnnotationView=_,_.__name__=\"TextAnnotationView\";class u extends l.Annotation{constructor(e){super(e)}static init_TextAnnotation(){this.define((()=>({render_mode:[o.RenderMode,\"canvas\"]})))}}s.TextAnnotation=u,u.__name__=\"TextAnnotation\",u.init_TextAnnotation()},\n", - " function _(t,e,i,l,r){l();const a=t(141),o=t(142),n=t(8),h=Math.PI/2,s={above:{parallel:0,normal:-h,horizontal:0,vertical:-h},below:{parallel:0,normal:h,horizontal:0,vertical:h},left:{parallel:-h,normal:0,horizontal:0,vertical:-h},right:{parallel:h,normal:0,horizontal:0,vertical:h}},c={above:{parallel:\"bottom\",normal:\"center\",horizontal:\"bottom\",vertical:\"center\"},below:{parallel:\"top\",normal:\"center\",horizontal:\"top\",vertical:\"center\"},left:{parallel:\"bottom\",normal:\"center\",horizontal:\"center\",vertical:\"bottom\"},right:{parallel:\"bottom\",normal:\"center\",horizontal:\"center\",vertical:\"bottom\"}},g={above:{parallel:\"center\",normal:\"left\",horizontal:\"center\",vertical:\"left\"},below:{parallel:\"center\",normal:\"left\",horizontal:\"center\",vertical:\"left\"},left:{parallel:\"center\",normal:\"right\",horizontal:\"right\",vertical:\"center\"},right:{parallel:\"center\",normal:\"left\",horizontal:\"left\",vertical:\"center\"}},_={above:\"right\",below:\"left\",left:\"right\",right:\"left\"},b={above:\"left\",below:\"right\",left:\"right\",right:\"left\"};class z{constructor(t){this.side=t}get dimension(){return\"above\"==this.side||\"below\"==this.side?0:1}get normals(){switch(this.side){case\"above\":return[0,-1];case\"below\":return[0,1];case\"left\":return[-1,0];case\"right\":return[1,0]}}get orientation(){return this.is_horizontal?\"horizontal\":\"vertical\"}get is_horizontal(){return 0==this.dimension}get is_vertical(){return 1==this.dimension}get_label_text_heuristics(t){const{side:e}=this;return n.isString(t)?{vertical_align:c[e][t],align:g[e][t]}:{vertical_align:\"center\",align:(t<0?_:b)[e]}}get_label_angle_heuristic(t){return n.isString(t)?s[this.side][t]:-t}}i.Panel=z,z.__name__=\"Panel\";class m extends o.ContentLayoutable{constructor(t,e,i=!1){super(),this.panel=t,this.get_size=e,this.rotate=i,this.panel.is_horizontal?this.set_sizing({width_policy:\"max\",height_policy:\"fixed\"}):this.set_sizing({width_policy:\"fixed\",height_policy:\"max\"})}_content_size(){const{width:t,height:e}=this.get_size();return!this.rotate||this.panel.is_horizontal?new a.Sizeable({width:t,height:e}):new a.Sizeable({width:e,height:t})}has_size_changed(){const{width:t,height:e}=this._content_size();return this.panel.is_horizontal?this.bbox.height!=e:this.bbox.width!=t}}i.SideLayout=m,m.__name__=\"SideLayout\"},\n", - " function _(h,t,i,e,w){e();const n=h(21),{min:d,max:s}=Math;class g{constructor(h={}){this.width=null!=h.width?h.width:0,this.height=null!=h.height?h.height:0}bounded_to({width:h,height:t}){return new g({width:this.width==1/0&&null!=h?h:this.width,height:this.height==1/0&&null!=t?t:this.height})}expanded_to({width:h,height:t}){return new g({width:h!=1/0?s(this.width,h):this.width,height:t!=1/0?s(this.height,t):this.height})}expand_to({width:h,height:t}){this.width=s(this.width,h),this.height=s(this.height,t)}narrowed_to({width:h,height:t}){return new g({width:d(this.width,h),height:d(this.height,t)})}narrow_to({width:h,height:t}){this.width=d(this.width,h),this.height=d(this.height,t)}grow_by({left:h,right:t,top:i,bottom:e}){const w=this.width+h+t,n=this.height+i+e;return new g({width:w,height:n})}shrink_by({left:h,right:t,top:i,bottom:e}){const w=s(this.width-h-t,0),n=s(this.height-i-e,0);return new g({width:w,height:n})}map(h,t){return new g({width:h(this.width),height:(null!=t?t:h)(this.height)})}}i.Sizeable=g,g.__name__=\"Sizeable\",i.SizingPolicy=n.Enum(\"fixed\",\"fit\",\"min\",\"max\")},\n", - " function _(i,t,h,e,n){e();const s=i(141),r=i(99),g=i(8),{min:l,max:a,round:_}=Math;class o{constructor(){this.absolute=!1,this._bbox=new r.BBox,this._inner_bbox=new r.BBox,this._dirty=!1,this._handlers=[]}*[Symbol.iterator](){}get bbox(){return this._bbox}get inner_bbox(){return this._inner_bbox}get sizing(){return this._sizing}set visible(i){this._sizing.visible=i,this._dirty=!0}set_sizing(i){var t,h,e,n,s;const r=null!==(t=i.width_policy)&&void 0!==t?t:\"fit\",g=i.width,l=i.min_width,a=i.max_width,_=null!==(h=i.height_policy)&&void 0!==h?h:\"fit\",o=i.height,d=i.min_height,u=i.max_height,c=i.aspect,w=null!==(e=i.margin)&&void 0!==e?e:{top:0,right:0,bottom:0,left:0},m=!1!==i.visible,x=null!==(n=i.halign)&&void 0!==n?n:\"start\",b=null!==(s=i.valign)&&void 0!==s?s:\"start\";this._sizing={width_policy:r,min_width:l,width:g,max_width:a,height_policy:_,min_height:d,height:o,max_height:u,aspect:c,margin:w,visible:m,halign:x,valign:b,size:{width:g,height:o}},this._init()}_init(){}_set_geometry(i,t){this._bbox=i,this._inner_bbox=t}set_geometry(i,t){this._set_geometry(i,null!=t?t:i);for(const i of this._handlers)i(this._bbox,this._inner_bbox)}on_resize(i){this._handlers.push(i)}is_width_expanding(){return\"max\"==this.sizing.width_policy}is_height_expanding(){return\"max\"==this.sizing.height_policy}apply_aspect(i,{width:t,height:h}){const{aspect:e}=this.sizing;if(null!=e){const{width_policy:n,height_policy:s}=this.sizing,r=(i,t)=>{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=new s.Sizeable(i).shrink_by(this.sizing.margin).map((i=>i==1/0&&\"fixed\"==this.sizing.width_policy&&null!=this.sizing.width?this.sizing.width:i),(i=>i==1/0&&\"fixed\"==this.sizing.height_policy&&null!=this.sizing.height?this.sizing.height:i)),h=this._measure(t),e=this.clip_size(h,t),n=this.apply_aspect(t,e);return Object.assign(Object.assign({},h),n)}compute(i={}){const t={width:null!=i.width&&this.is_width_expanding()?i.width:1/0,height:null!=i.height&&this.is_height_expanding()?i.height:1/0},h=this.measure(t),{width:e,height:n}=h,s=new r.BBox({left:0,top:0,width:e,height:n});let g;if(null!=h.inner){const{left:i,top:t,right:s,bottom:l}=h.inner;g=new r.BBox({left:i,top:t,right:e-s,bottom:n-l})}this.set_geometry(s,g)}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:g.isNumber(h)||(h=Math.round(h.percent*t)),null==e?e=1/0: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 _(t,e,n,r,a){r();const l=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\"),a=t.measureText(\"ÅŚg|\"),c=a.fontBoundingBoxAscent,o=a.fontBoundingBoxDescent;if(null!=c&&null!=o)return{height:c+o,ascent:c,descent:o,cap_height:n.actualBoundingBoxAscent,x_height:r.actualBoundingBoxAscent};const s=a.actualBoundingBoxAscent,u=a.actualBoundingBoxDescent;if(null!=s&&null!=u)return{height:s+u,ascent:s,descent:u,cap_height:n.actualBoundingBoxAscent,x_height:r.actualBoundingBoxAscent};l.unreachable()}})(),s=(()=>{const t=c(0,0).getContext(\"2d\");return(e,n)=>{t.font=n;const r=t.measureText(e),a=r.actualBoundingBoxAscent,c=r.actualBoundingBoxDescent;if(null!=a&&null!=c)return{width:r.width,height:a+c,ascent:a,descent:c};l.unreachable()}})(),u=(()=>{const t=document.createElement(\"canvas\"),e=t.getContext(\"2d\");let n=-1,r=-1;return(a,l=1)=>{e.font=a;const{width:c}=e.measureText(\"M\"),o=c*l,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(a,l,c=1)=>{e.font=l;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", - " function _(e,t,s,_,a){_();const r=e(145),n=e(157),g=e(156),i=e(159),c=e(104),h=e(99),o=e(13),l=e(11);class x{constructor(e,t,s,_,a={},r={}){this.in_x_scale=e,this.in_y_scale=t,this.x_range=s,this.y_range=_,this.extra_x_ranges=a,this.extra_y_ranges=r,this._bbox=new h.BBox,l.assert(null==e.source_range&&null==e.target_range),l.assert(null==t.source_range&&null==t.target_range),this._configure_scales()}get bbox(){return this._bbox}_get_ranges(e,t){return new Map(o.entries(Object.assign(Object.assign({},t),{default:e})))}_get_scales(e,t,s){const _=new Map;for(const[a,g]of t){if(g instanceof c.FactorRange!=e instanceof r.CategoricalScale)throw new Error(`Range ${g.type} is incompatible is Scale ${e.type}`);e instanceof n.LogScale&&g instanceof i.DataRange1d&&(g.scale_hint=\"log\");const t=e.clone();t.setv({source_range:g,target_range:s}),_.set(a,t)}return _}_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._x_ranges,this._x_target),this._y_scales=this._get_scales(this.in_y_scale,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 o.to_object(this.x_scales)}get yscales(){return o.to_object(this.y_scales)}}s.CartesianFrame=x,x.__name__=\"CartesianFrame\"},\n", - " function _(e,t,r,n,_){n();const c=e(146);class s extends c.Scale{constructor(e){super(e)}get s_compute(){const[e,t]=this._linear_compute_state(),r=this.source_range;return n=>e*r.synthetic(n)+t}compute(e){return super._linear_compute(this.source_range.synthetic(e))}v_compute(e){return super._linear_v_compute(this.source_range.v_synthetic(e))}invert(e){return this._linear_invert(e)}v_invert(e){return this._linear_v_invert(e)}}r.CategoricalScale=s,s.__name__=\"CategoricalScale\"},\n", - " function _(t,e,r,n,s){n();const i=t(147),_=t(105),a=t(156),c=t(24);class o extends i.Transform{constructor(t){super(t)}static init_Scale(){this.internal((({Ref:t})=>({source_range:[t(_.Range)],target_range:[t(a.Range1d)]})))}r_compute(t,e){return this.target_range.is_reversed?[this.compute(e),this.compute(t)]:[this.compute(t),this.compute(e)]}r_invert(t,e){return this.target_range.is_reversed?[this.invert(e),this.invert(t)]:[this.invert(t),this.invert(e)]}_linear_compute(t){const[e,r]=this._linear_compute_state();return e*t+r}_linear_v_compute(t){const[e,r]=this._linear_compute_state(),n=new c.ScreenArray(t.length);for(let s=0;s({args:[s(t),{}],func:[r,\"\"],v_func:[r,\"\"]})))}get names(){return o.keys(this.args)}get values(){return o.values(this.args)}_make_transform(t,r){return new Function(...this.names,t,u.use_strict(r))}get scalar_transform(){return this._make_transform(\"x\",this.func)}get vector_transform(){return this._make_transform(\"xs\",this.v_func)}compute(t){return this.scalar_transform(...this.values,t)}v_compute(t){return this.vector_transform(...this.values,t)}}s.CustomJSTransform=m,m.__name__=\"CustomJSTransform\",m.init_CustomJSTransform()},\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,o,s){o();const i=e(151);class r extends i.RangeTransform{constructor(e){super(e)}static init_Dodge(){this.define((({Number:e})=>({value:[e,0]})))}_compute(e){return e+this.value}}n.Dodge=r,r.__name__=\"Dodge\",r.init_Dodge()},\n", - " function _(e,n,t,r,s){r();const a=e(149),i=e(105),o=e(104),c=e(24),f=e(8);class u extends a.Transform{constructor(e){super(e)}static init_RangeTransform(){this.define((({Ref:e,Nullable:n})=>({range:[n(e(i.Range)),null]})))}v_compute(e){let n;if(this.range instanceof o.FactorRange)n=this.range.v_synthetic(e);else{if(!f.isArrayableOf(e,f.isNumber))throw new Error(\"unexpected\");n=e}const t=new(c.infer_type(n))(n.length);for(let e=0;e({x:[s(r,o(e))],y:[s(r,o(e))],data:[a(n(i.ColumnarDataSource)),null],clip:[t,!0]})))}connect_signals(){super.connect_signals(),this.connect(this.change,(()=>this._sorted_dirty=!0))}v_compute(t){const e=new(a.infer_type(t))(t.length);for(let r=0;rs*(e[t]-e[r]))),this._x_sorted=new(a.infer_type(e))(n),this._y_sorted=new(a.infer_type(r))(n);for(let t=0;t({mean:[t,0],width:[t,1],distribution:[o.Distribution,\"uniform\"]})))}v_compute(t){return null!=this.previous_values&&this.previous_values.length==t.length||(this.previous_values=super.v_compute(t)),this.previous_values}_compute(t){switch(this.distribution){case\"uniform\":return t+this.mean+(a.random()-.5)*this.width;case\"normal\":return t+a.rnorm(this.mean,this.width)}}}e.Jitter=h,h.__name__=\"Jitter\",h.init_Jitter()},\n", - " function _(t,s,_,r,e){r();const i=t(9),o=t(152);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=i.find_last_index(this._x_sorted,(s=>s({mode:[_.StepMode,\"after\"]})))}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]}let e;switch(this.mode){case\"after\":e=n.find_last_index(this._x_sorted,(e=>t>=e));break;case\"before\":e=n.find_index(this._x_sorted,(e=>t<=e));break;case\"center\":{const s=n.map(this._x_sorted,(e=>Math.abs(e-t))),r=n.min(s);e=n.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=d,d.__name__=\"StepInterpolator\",d.init_StepInterpolator()},\n", - " function _(t,e,s,n,i){n();const a=t(105);class r extends a.Range{constructor(t){super(t)}static init_Range1d(){this.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}}]})))}_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 r({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 r({start:e,end:s})}}s.Range1d=r,r.__name__=\"Range1d\",r.init_Range1d()},\n", - " function _(t,e,o,n,s){n();const a=t(158),r=t(24);class c extends a.ContinuousScale{constructor(t){super(t)}get s_compute(){const[t,e,o,n]=this._compute_state();return s=>{if(0==o)return 0;{const a=(Math.log(s)-n)/o;return isFinite(a)?a*t+e:NaN}}}compute(t){const[e,o,n,s]=this._compute_state();let a;if(0==n)a=0;else{const r=(Math.log(t)-s)/n;a=isFinite(r)?r*e+o:NaN}return a}v_compute(t){const[e,o,n,s]=this._compute_state(),a=new r.ScreenArray(t.length);if(0==n)for(let e=0;e({start:[i],end:[i],range_padding:[i,.1],range_padding_units:[_.PaddingUnits,\"percent\"],flipped:[t,!1],follow:[n(_.StartEnd),null],follow_interval:[n(i),null],default_span:[i,2],only_visible:[t,!1]}))),this.internal((({Enum:t})=>({scale_hint:[t(\"log\",\"auto\"),\"auto\"]})))}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=o.concat(this.plots.map((t=>t.data_renderers)));return d.compute_renderers(0==t.length?\"auto\":t,n,i)}_compute_plot_bounds(t,i){let n=r.empty();for(const a of t){const t=i.get(a);null==t||!a.visible&&this.only_visible||(n=r.union(n,t))}return n}adjust_bounds_for_aspect(t,i){const n=r.empty();let a=t.x1-t.x0;a<=0&&(a=1);let e=t.y1-t.y0;e<=0&&(e=1);const s=.5*(t.x1+t.x0),l=.5*(t.y1+t.y0);return al&&(\"start\"==this.follow?e=a+s*l:\"end\"==this.follow&&(a=e-s*l)),[a,e]}update(t,i,n,a){if(this.have_updated_interactively)return;const e=this.computed_renderers();let s=this._compute_plot_bounds(e,t);null!=a&&(s=this.adjust_bounds_for_aspect(s,a)),this._plot_bounds.set(n,s);const[l,_]=this._compute_min_max(this._plot_bounds.values(),i);let[o,h]=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&&(h=this._initial_end):h=this._initial_end);let r=!1;\"auto\"==this.bounds&&(this.setv({bounds:[o,h]},{silent:!0}),r=!0);const[d,u]=[this.start,this.end];if(o!=d||h!=u){const t={};o!=d&&(t.start=o),h!=u&&(t.end=h),this.setv(t),r=!1}r&&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=u,u.__name__=\"DataRange1d\",u.init_DataRange1d()},\n", - " function _(a,e,n,t,r){t();const s=a(105),i=a(62);class R extends s.Range{constructor(a){super(a)}static init_DataRange(){this.define((({String:a,Array:e,Ref:n})=>({names:[e(a),[]],renderers:[e(n(i.DataRenderer)),[]]})))}}n.DataRange=R,R.__name__=\"DataRange\",R.init_DataRange()},\n", - " function _(n,e,t,r,u){r();const l=n(9);t.compute_renderers=function(n,e,t){if(null==n)return[];let r=\"auto\"==n?e:n;return t.length>0&&(r=r.filter((n=>l.includes(t,n.name)))),r}},\n", - " function _(i,s,x,A,o){A(),o(\"Axis\",i(163).Axis),o(\"CategoricalAxis\",i(170).CategoricalAxis),o(\"ContinuousAxis\",i(173).ContinuousAxis),o(\"DatetimeAxis\",i(174).DatetimeAxis),o(\"LinearAxis\",i(175).LinearAxis),o(\"LogAxis\",i(192).LogAxis),o(\"MercatorAxis\",i(195).MercatorAxis)},\n", - " function _(t,e,i,s,o){s();const n=t(1),a=t(164),l=t(165),r=t(166),_=t(169),h=n.__importStar(t(48)),c=t(20),b=t(24),m=t(140),d=t(9),u=t(8),x=t(167),g=t(104),{abs:f}=Math;class p extends a.GuideRendererView{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(),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,[o,n]=this.coordinates.map_to_screen(i,s),[a,l]=this.normals,[r,_]=this.offsets;this.visuals.axis_line.set_value(t),t.beginPath();for(let e=0;e0?o+s+3:0}_draw_axis_label(t,e,i){const s=this.model.axis_label;if(!s||null!=this.model.fixed_location)return;const o=new x.TextBox({text:s});o.angle=this.panel.get_label_angle_heuristic(\"parallel\"),o.visuals=this.visuals.axis_label_text;const[n,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]}})(),[l,r]=this.normals,_=e.tick+e.tick_label+this.model.axis_label_standoff,{vertical_align:h,align:c}=this.panel.get_label_text_heuristics(\"parallel\");o.position={sx:n+l*_,sy:a+r*_,x_anchor:c,y_anchor:h},o.align=c,o.paint(t)}_draw_ticks(t,e,i,s,o){if(!o.doit)return;const[n,a]=e,[l,r]=this.coordinates.map_to_screen(n,a),[_,h]=this.normals,[c,b]=this.offsets,[m,d]=[_*(c-i),h*(b-i)],[u,x]=[_*(c+s),h*(b+s)];o.set_value(t),t.beginPath();for(let e=0;et.bbox())),O=(()=>{const[t]=this.ranges;return t.is_reversed?0==this.dimension?(t,e)=>T[t].left-T[e].right:(t,e)=>T[e].top-T[t].bottom:0==this.dimension?(t,e)=>T[e].left-T[t].right:(t,e)=>T[t].top-T[e].bottom})(),{major_label_policy:A}=this.model,M=A.filter(v,T,O),z=[...M.ones()];if(0!=z.length){const t=this.parent.canvas_view.bbox,e=e=>{const i=T[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:o}=y[e];y[e].position=Object.assign(Object.assign({},o),{sx:o.sx-s})}},i=e=>{const i=T[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:o}=y[e];y[e].position=Object.assign(Object.assign({},o),{sy:o.sy-s})}},s=z[0],o=z[z.length-1];0==this.dimension?(e(s),e(o)):(i(s),i(o))}for(const e of M){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,o=this.visuals.major_label_text;return[this._oriented_labels_extent(e,i,s,o)]}get extents(){const t=this._tick_label_extents();return{tick:this._tick_extent(),tick_labels:t,tick_label:d.sum(t),axis_label:this._axis_label_extent()}}_oriented_labels_extent(t,e,i,s){if(0==t.length)return 0;const o=this.panel.get_label_angle_heuristic(e);t.visuals=s,t.angle=o;const n=t.max_size(),a=0==this.dimension?n.height:n.width;return a>0?i+a+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_overrides:i}=this.model;for(let s=0;sf(a-l)?(t=_(r(o,n),a),s=r(_(o,n),l)):(t=r(o,n),s=_(o,n)),[t,s]}}get rule_coords(){const t=this.dimension,e=(t+1)%2,[i]=this.ranges,[s,o]=this.computed_bounds,n=[new Array(2),new Array(2)];return n[t][0]=Math.max(s,i.min),n[t][1]=Math.min(o,i.max),n[t][0]>n[t][1]&&(n[t][0]=n[t][1]=NaN),n[e][0]=this.loc,n[e][1]=this.loc,n}get tick_coords(){const t=this.dimension,e=(t+1)%2,[i]=this.ranges,[s,o]=this.computed_bounds,n=this.model.ticker.get_ticks(s,o,i,this.loc),a=n.major,l=n.minor,r=[[],[]],_=[[],[]],[h,c]=[i.min,i.max];for(let i=0;ic||(r[t].push(a[i]),r[e].push(this.loc));for(let i=0;ic||(_[t].push(l[i]),_[e].push(this.loc));return{major:r,minor:_}}get loc(){const{fixed_location:t}=this.model;if(null!=t){if(u.isNumber(t))return t;const[,e]=this.ranges;if(e instanceof g.FactorRange)return e.synthetic(t);throw new Error(\"unexpected\")}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})}}i.AxisView=p,p.__name__=\"AxisView\";class k extends a.GuideRenderer{constructor(t){super(t)}static init_Axis(){this.prototype.default_view=p,this.mixins([[\"axis_\",h.Line],[\"major_tick_\",h.Line],[\"minor_tick_\",h.Line],[\"major_label_\",h.Text],[\"axis_label_\",h.Text]]),this.define((({Any:t,Int:e,Number:i,String:s,Ref:o,Dict:n,Tuple:a,Or:h,Nullable:b,Auto:m})=>({bounds:[h(a(i,i),m),\"auto\"],ticker:[o(l.Ticker)],formatter:[o(r.TickFormatter)],axis_label:[b(s),\"\"],axis_label_standoff:[e,5],major_label_standoff:[e,5],major_label_orientation:[h(c.TickLabelOrientation,i),\"horizontal\"],major_label_overrides:[n(s),{}],major_label_policy:[o(_.LabelingPolicy),()=>new _.AllLabels],major_tick_in:[i,2],major_tick_out:[i,6],minor_tick_in:[i,0],minor_tick_out:[i,4],fixed_location:[b(h(i,t)),null]}))),this.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\"})}}i.Axis=k,k.__name__=\"Axis\",k.init_Axis()},\n", - " function _(e,r,d,i,n){i();const s=e(41);class t extends s.RendererView{}d.GuideRendererView=t,t.__name__=\"GuideRendererView\";class _ extends s.Renderer{constructor(e){super(e)}static init_GuideRenderer(){this.override({level:\"guide\"})}}d.GuideRenderer=_,_.__name__=\"GuideRenderer\",_.init_GuideRenderer()},\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(167);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 _(t,e,s,i,n){i();const h=t(99),o=t(143),r=t(9),a=t(8),c=t(168),_=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}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.align=\"left\",this.text=t}set visuals(t){const e=t.text_color.get_value(),s=t.text_alpha.get_value(),i=t.text_font_style.get_value();let n=t.text_font_size.get_value();const h=t.text_font.get_value(),{font_size_scale:o}=this;if(1!=o){const t=n.match(/^\\s*(\\d+(\\.\\d+)?)(\\w+)\\s*$/);if(null!=t){const[,e,,s]=t,i=Number(e);isNaN(i)||(n=`${i*o}${s}`)}}const r=`${i} ${n} ${h}`;this.font=r,this.color=_.color2css(e,s),this.line_height=t.text_line_height.get_value()}infer_text_height(){if(this.text.includes(\"\\n\"))return\"ascent_descent\";return function(t){for(const e of new Set(t))if(!(\"0\"<=e&&e<=\"9\"))switch(e){case\",\":case\".\":case\"+\":case\"-\":case\"−\":case\"e\":continue;default:return!1}return!0}(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=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=>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: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=\"left\",y_anchor:c=\"center\"}=this.position;return{x:h-(()=>{if(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(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=o.font_metrics(n),a=(this.line_height-1)*h.height,c=this.text.split(\"\\n\"),_=c.length,l=c.map((t=>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,g=\"%\"==(null===(i=this.height)||void 0===i?void 0:i.unit)?this.height.value:1,f=r.max(l)*p,d=(u+a*(_-1))*g;t.save(),t.fillStyle=this.color,t.font=this.font,t.textAlign=\"left\",t.textBaseline=\"alphabetic\";const{sx:m,sy:b}=this.position,{align:y}=this,{angle:w}=this;w&&(t.translate(m,b),t.rotate(w),t.translate(-m,-b));let{x:v,y:z}=this._computed_position({width:f,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=>s.text_width(t,n))),l=(f-r.sum(_))/(o-1);for(let e=0;e{switch(y){case\"left\":return 0;case\"center\":return.5*(f-l[e]);case\"right\":return f-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 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}=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=\"left\",y_anchor:h=\"center\"}=this.position;return{x:s-(()=>{if(a.isNumber(n))return n*t;switch(n){case\"left\":return 0;case\"center\":return.5*t;case\"right\":return t}})(),y:i-(()=>{if(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}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=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,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})`}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,p=t.length;for(let o=0;o({min_distance:[e,5]})))}filter(e,n,s){const{min_distance:t}=this;let i=null;for(const n of e)null!=i&&s(i,n)({args:[s(e),{}],code:[n,\"\"]})))}get names(){return c.keys(this.args)}get values(){return c.values(this.args)}get func(){const e=o.use_strict(this.code);return new a.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 l=i.next();if(l.done&&void 0!==l.value){const{value:n}=l;return n instanceof a.Indices?n:void 0===n?e:r.isIterable(n)?a.Indices.from_indices(e.size,n):a.Indices.all_unset(e.size)}{const n=[];do{n.push(l.value),l=i.next()}while(!l.done);return a.Indices.from_indices(e.size,n)}}}s.CustomLabelingPolicy=m,m.__name__=\"CustomLabelingPolicy\",m.init_CustomLabelingPolicy()},\n", - " function _(t,s,e,o,i){o();const a=t(1),r=t(163),l=t(171),_=t(172),n=a.__importStar(t(48)),c=t(20),p=t(167),h=t(8);class m extends r.AxisView{_paint(t,s,e){this._draw_group_separators(t,s,e)}_draw_group_separators(t,s,e){const[o]=this.ranges,[i,a]=this.computed_bounds;if(!o.tops||o.tops.length<2||!this.visuals.separator_line.doit)return;const r=this.dimension,l=(r+1)%2,_=[[],[]];let n=0;for(let t=0;ti&&cnew p.GraphicsBoxes(t.map((t=>h.isString(t)?new p.TextBox({text:t}):t))),_=t=>l(this.model.formatter.doFormat(t,this));if(1==t.levels){const t=_(i.major);r.push([t,a.major,this.model.major_label_orientation,this.visuals.major_label_text])}else if(2==t.levels){const t=_(i.major.map((t=>t[1])));r.push([t,a.major,this.model.major_label_orientation,this.visuals.major_label_text]),r.push([l(i.tops),a.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]));r.push([t,a.major,this.model.major_label_orientation,this.visuals.major_label_text]),r.push([l(s),a.mids,this.model.subgroup_label_orientation,this.visuals.subgroup_text]),r.push([l(i.tops),a.tops,this.model.group_label_orientation,this.visuals.group_text])}return r}get tick_coords(){const t=this.dimension,s=(t+1)%2,[e]=this.ranges,[o,i]=this.computed_bounds,a=this.model.ticker.get_ticks(o,i,e,this.loc),r={major:[[],[]],mids:[[],[]],tops:[[],[]],minor:[[],[]]};return r.major[t]=a.major,r.major[s]=a.major.map((()=>this.loc)),3==e.levels&&(r.mids[t]=a.mids,r.mids[s]=a.mids.map((()=>this.loc))),e.levels>1&&(r.tops[t]=a.tops,r.tops[s]=a.tops.map((()=>this.loc))),r}}e.CategoricalAxisView=m,m.__name__=\"CategoricalAxisView\";class u extends r.Axis{constructor(t){super(t)}static init_CategoricalAxis(){this.prototype.default_view=m,this.mixins([[\"separator_\",n.Line],[\"group_\",n.Text],[\"subgroup_\",n.Text]]),this.define((({Number:t,Or:s})=>({group_label_orientation:[s(c.TickLabelOrientation,t),\"parallel\"],subgroup_label_orientation:[s(c.TickLabelOrientation,t),\"parallel\"]}))),this.override({ticker:()=>new l.CategoricalTicker,formatter:()=>new _.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\"})}}e.CategoricalAxis=u,u.__name__=\"CategoricalAxis\",u.init_CategoricalAxis()},\n", - " function _(t,c,o,s,e){s();const r=t(165);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 m.DatetimeTicker,formatter:()=>new r.DatetimeTickFormatter})}}i.DatetimeAxis=c,c.__name__=\"DatetimeAxis\",c.init_DatetimeAxis()},\n", - " function _(i,e,s,n,t){n();const r=i(173),a=i(176),o=i(177);class c extends r.ContinuousAxisView{}s.LinearAxisView=c,c.__name__=\"LinearAxisView\";class _ extends r.ContinuousAxis{constructor(i){super(i)}static init_LinearAxis(){this.prototype.default_view=c,this.override({ticker:()=>new o.BasicTicker,formatter:()=>new a.BasicTickFormatter})}}s.LinearAxis=_,_.__name__=\"LinearAxis\",_.init_LinearAxis()},\n", - " function _(i,t,e,n,o){n();const s=i(166),r=i(34);function c(i){let t=\"\";for(const e of i)t+=\"-\"==e?\"−\":e;return t}e.unicode_replace=c;class _ extends s.TickFormatter{constructor(i){super(i),this.last_precision=3}static init_BasicTickFormatter(){this.define((({Boolean:i,Int:t,Auto:e,Or:n})=>({precision:[n(t,e),\"auto\"],use_scientific:[i,!0],power_limit_high:[t,5],power_limit_low:[t,-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=>c(i.toExponential(e)))):i.map((i=>c(r.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({base:[t,10],mantissas:[i(t),[1,2,5]],min_interval:[t,0],max_interval:[a(t),null]})))}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 t=r.nth(this.mantissas,-1)/this.base,i=r.nth(this.mantissas,0)*this.base;this.extended_mantissas=[t,...this.mantissas,i],this.base_factor=0===this.get_min_interval()?1:this.get_min_interval()}get_interval(t,i,a){const e=i-t,s=this.get_ideal_interval(t,i,a),n=Math.floor(_.log(s/this.base_factor,this.base)),l=this.base**n*this.base_factor,h=this.extended_mantissas,m=h.map((t=>Math.abs(a-e/(t*l)))),v=h[r.argmin(m)]*l;return _.clamp(v,this.get_min_interval(),this.get_max_interval())}}a.AdaptiveTicker=l,l.__name__=\"AdaptiveTicker\",l.init_AdaptiveTicker()},\n", - " function _(t,i,n,s,e){s();const o=t(165),r=t(9);class c extends o.Ticker{constructor(t){super(t)}static init_ContinuousTicker(){this.define((({Int:t})=>({num_minor_ticks:[t,5],desired_num_ticks:[t,6]})))}get_ticks(t,i,n,s){return this.get_ticks_no_defaults(t,i,s,this.desired_num_ticks)}get_ticks_no_defaults(t,i,n,s){const e=this.get_interval(t,i,s),o=Math.floor(t/e),c=Math.ceil(i/e);let _;_=isFinite(o)&&isFinite(c)?r.range(o,c+1):[];const u=_.map((t=>t*e)).filter((n=>t<=n&&n<=i)),a=this.num_minor_ticks,f=[];if(a>0&&u.length>0){const n=e/a,s=r.range(0,a).map((t=>t*n));for(const n of s.slice(1)){const s=u[0]-n;t<=s&&s<=i&&f.push(s)}for(const n of u)for(const e of s){const s=n+e;t<=s&&s<=i&&f.push(s)}}return{major:u,minor:f}}get_ideal_interval(t,i,n){return(i-t)/n}}n.ContinuousTicker=c,c.__name__=\"ContinuousTicker\",c.init_ContinuousTicker()},\n", - " function _(t,s,e,i,n){i();const r=t(1).__importDefault(t(181)),o=t(166),a=t(19),c=t(182),m=t(9),u=t(8);function h(t){return r.default(t,\"%Y %m %d %H %M %S\").split(/\\s+/).map((t=>parseInt(t,10)))}function d(t,s){if(u.isFunction(s))return s(t);{const e=c.sprintf(\"$1%06d\",function(t){return Math.round(t/1e3%1*1e6)}(t));return-1==(s=s.replace(/((^|[^%])(%%)*)%f/,e)).indexOf(\"%\")?s:r.default(t,s)}}const l=[\"microseconds\",\"milliseconds\",\"seconds\",\"minsec\",\"minutes\",\"hourmin\",\"hours\",\"days\",\"months\",\"years\"];class f extends o.TickFormatter{constructor(t){super(t),this.strip_leading_zeros=!0}static 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x.indexOf(\"-\")>-1&&(x=x.slice(1),R=!0),x.length-1&&(x=x.toString().replace(/(\\d)(?=(\\d{3})+(?!\\d))/g,\"$1\"+o[u].delimiters.thousands)),0===n.indexOf(\".\")&&(x=\"\"),b+(n.indexOf(\"(\")2)&&(o.length<2?!!o[0].match(/^\\d+.*\\d$/)&&!o[0].match(u):1===o[0].length?!!o[0].match(/^\\d+$/)&&!o[0].match(u)&&!!o[1].match(/^\\d+$/):!!o[0].match(/^\\d+.*\\d$/)&&!o[0].match(u)&&!!o[1].match(/^\\d+$/)))))},n.exports={format:function(e,n,t,r){return null!=t&&t!==a.culture()&&a.setCulture(t),p(Number(e),null!=n?n:s,null==r?Math.round:r)}}},\n", - " function _(e,n,t,r,i){!function(){\"use strict\";var e={not_string:/[^s]/,not_bool:/[^t]/,not_type:/[^T]/,not_primitive:/[^v]/,number:/[diefg]/,numeric_arg:/[bcdiefguxX]/,json:/[j]/,not_json:/[^j]/,text:/^[^\\x25]+/,modulo:/^\\x25{2}/,placeholder:/^\\x25(?:([1-9]\\d*)\\$|\\(([^)]+)\\))?(\\+)?(0|'[^$])?(-)?(\\d+)?(?:\\.(\\d+))?([b-gijostTuvxX])/,key:/^([a-z_][a-z_\\d]*)/i,key_access:/^\\.([a-z_][a-z_\\d]*)/i,index_access:/^\\[(\\d+)\\]/,sign:/^[+-]/};function n(e){return i(a(e),arguments)}function r(e,t){return n.apply(null,[e].concat(t||[]))}function i(t,r){var i,s,a,o,p,c,l,u,f,d=1,g=t.length,y=\"\";for(s=0;s=0),o.type){case\"b\":i=parseInt(i,10).toString(2);break;case\"c\":i=String.fromCharCode(parseInt(i,10));break;case\"d\":case\"i\":i=parseInt(i,10);break;case\"j\":i=JSON.stringify(i,null,o.width?parseInt(o.width):0);break;case\"e\":i=o.precision?parseFloat(i).toExponential(o.precision):parseFloat(i).toExponential();break;case\"f\":i=o.precision?parseFloat(i).toFixed(o.precision):parseFloat(i);break;case\"g\":i=o.precision?String(Number(i.toPrecision(o.precision))):parseFloat(i);break;case\"o\":i=(parseInt(i,10)>>>0).toString(8);break;case\"s\":i=String(i),i=o.precision?i.substring(0,o.precision):i;break;case\"t\":i=String(!!i),i=o.precision?i.substring(0,o.precision):i;break;case\"T\":i=Object.prototype.toString.call(i).slice(8,-1).toLowerCase(),i=o.precision?i.substring(0,o.precision):i;break;case\"u\":i=parseInt(i,10)>>>0;break;case\"v\":i=i.valueOf(),i=o.precision?i.substring(0,o.precision):i;break;case\"x\":i=(parseInt(i,10)>>>0).toString(16);break;case\"X\":i=(parseInt(i,10)>>>0).toString(16).toUpperCase()}e.json.test(o.type)?y+=i:(!e.number.test(o.type)||u&&!o.sign?f=\"\":(f=u?\"+\":\"-\",i=i.toString().replace(e.sign,\"\")),c=o.pad_char?\"0\"===o.pad_char?\"0\":o.pad_char.charAt(1):\" \",l=o.width-(f+i).length,p=o.width&&l>0?c.repeat(l):\"\",y+=o.align?f+i+p:\"0\"===c?f+p+i:p+f+i)}return y}var s=Object.create(null);function a(n){if(s[n])return s[n];for(var t,r=n,i=[],a=0;r;){if(null!==(t=e.text.exec(r)))i.push(t[0]);else if(null!==(t=e.modulo.exec(r)))i.push(\"%\");else{if(null===(t=e.placeholder.exec(r)))throw new SyntaxError(\"[sprintf] unexpected placeholder\");if(t[2]){a|=1;var o=[],p=t[2],c=[];if(null===(c=e.key.exec(p)))throw new SyntaxError(\"[sprintf] failed to parse named argument key\");for(o.push(c[1]);\"\"!==(p=p.substring(c[0].length));)if(null!==(c=e.key_access.exec(p)))o.push(c[1]);else{if(null===(c=e.index_access.exec(p)))throw new SyntaxError(\"[sprintf] failed to parse named argument key\");o.push(c[1])}t[2]=o}else a|=2;if(3===a)throw new Error(\"[sprintf] mixing positional and named placeholders is not (yet) supported\");i.push({placeholder:t[0],param_no:t[1],keys:t[2],sign:t[3],pad_char:t[4],align:t[5],width:t[6],precision:t[7],type:t[8]})}r=r.substring(t[0].length)}return s[n]=i}void 0!==t&&(t.sprintf=n,t.vsprintf=r),\"undefined\"!=typeof window&&(window.sprintf=n,window.vsprintf=r,\"function\"==typeof define&&define.amd&&define((function(){return{sprintf:n,vsprintf:r}})))}()},\n", - " function _(e,i,n,t,a){t();const s=e(9),r=e(178),c=e(186),m=e(187),_=e(190),k=e(191),o=e(189);class T extends c.CompositeTicker{constructor(e){super(e)}static init_DatetimeTicker(){this.override({num_minor_ticks:0,tickers:()=>[new r.AdaptiveTicker({mantissas:[1,2,5],base:10,min_interval:0,max_interval:500*o.ONE_MILLI,num_minor_ticks:0}),new r.AdaptiveTicker({mantissas:[1,2,5,10,15,20,30],base:60,min_interval:o.ONE_SECOND,max_interval:30*o.ONE_MINUTE,num_minor_ticks:0}),new r.AdaptiveTicker({mantissas:[1,2,4,6,8,12],base:24,min_interval:o.ONE_HOUR,max_interval:12*o.ONE_HOUR,num_minor_ticks:0}),new m.DaysTicker({days:s.range(1,32)}),new m.DaysTicker({days:s.range(1,31,3)}),new m.DaysTicker({days:[1,8,15,22]}),new m.DaysTicker({days:[1,15]}),new _.MonthsTicker({months:s.range(0,12,1)}),new _.MonthsTicker({months:s.range(0,12,2)}),new _.MonthsTicker({months:s.range(0,12,4)}),new _.MonthsTicker({months:s.range(0,12,6)}),new k.YearsTicker({})]})}}n.DatetimeTicker=T,T.__name__=\"DatetimeTicker\",T.init_DatetimeTicker()},\n", - " function _(t,e,i,s,r){s();const n=t(179),_=t(9);class a extends n.ContinuousTicker{constructor(t){super(t)}static init_CompositeTicker(){this.define((({Array:t,Ref:e})=>({tickers:[t(e(n.ContinuousTicker)),[]]})))}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 s=e-t,r=this.get_ideal_interval(t,e,i),n=[_.sorted_index(this.min_intervals,r)-1,_.sorted_index(this.max_intervals,r)],a=[this.min_intervals[n[0]],this.max_intervals[n[1]]].map((t=>Math.abs(i-s/t)));let c;if(_.is_empty(a.filter((t=>!isNaN(t)))))c=this.tickers[0];else{const t=n[_.argmin(a)];c=this.tickers[t]}return c}get_interval(t,e,i){return this.get_best_ticker(t,e,i).get_interval(t,e,i)}get_ticks_no_defaults(t,e,i,s){return this.get_best_ticker(t,e,s).get_ticks_no_defaults(t,e,i,s)}}i.CompositeTicker=a,a.__name__=\"CompositeTicker\",a.init_CompositeTicker()},\n", - " function _(t,e,n,i,s){i();const a=t(188),o=t(189),r=t(9);class c extends a.SingleIntervalTicker{constructor(t){super(t)}static init_DaysTicker(){this.define((({Int:t,Array:e})=>({days:[e(t),[]]}))),this.override({num_minor_ticks:0})}initialize(){super.initialize();const t=this.days;t.length>1?this.interval=(t[1]-t[0])*o.ONE_DAY:this.interval=31*o.ONE_DAY}get_ticks_no_defaults(t,e,n,i){const s=function(t,e){const n=o.last_month_no_later_than(new Date(t)),i=o.last_month_no_later_than(new Date(e));i.setUTCMonth(i.getUTCMonth()+1);const s=[],a=n;for(;s.push(o.copy_date(a)),a.setUTCMonth(a.getUTCMonth()+1),!(a>i););return s}(t,e),a=this.days,c=this.interval;return{major:r.concat(s.map((t=>((t,e)=>{const n=t.getUTCMonth(),i=[];for(const s of a){const a=o.copy_date(t);a.setUTCDate(s),new Date(a.getTime()+e/2).getUTCMonth()==n&&i.push(a)}return i})(t,c)))).map((t=>t.getTime())).filter((n=>t<=n&&n<=e)),minor:[]}}}n.DaysTicker=c,c.__name__=\"DaysTicker\",c.init_DaysTicker()},\n", - " function _(e,t,n,i,r){i();const l=e(179);class a extends l.ContinuousTicker{constructor(e){super(e)}static init_SingleIntervalTicker(){this.define((({Number:e})=>({interval:[e]})))}get_interval(e,t,n){return this.interval}get_min_interval(){return this.interval}get_max_interval(){return this.interval}}n.SingleIntervalTicker=a,a.__name__=\"SingleIntervalTicker\",a.init_SingleIntervalTicker()},\n", - " function _(t,n,e,_,E){function N(t){return new Date(t.getTime())}function O(t){const n=N(t);return n.setUTCDate(1),n.setUTCHours(0),n.setUTCMinutes(0),n.setUTCSeconds(0),n.setUTCMilliseconds(0),n}_(),e.ONE_MILLI=1,e.ONE_SECOND=1e3,e.ONE_MINUTE=60*e.ONE_SECOND,e.ONE_HOUR=60*e.ONE_MINUTE,e.ONE_DAY=24*e.ONE_HOUR,e.ONE_MONTH=30*e.ONE_DAY,e.ONE_YEAR=365*e.ONE_DAY,e.copy_date=N,e.last_month_no_later_than=O,e.last_year_no_later_than=function(t){const n=O(t);return n.setUTCMonth(0),n}},\n", - " function _(t,e,n,i,s){i();const r=t(188),a=t(189),o=t(9);class c extends r.SingleIntervalTicker{constructor(t){super(t)}static init_MonthsTicker(){this.define((({Int:t,Array:e})=>({months:[e(t),[]]})))}initialize(){super.initialize();const t=this.months;t.length>1?this.interval=(t[1]-t[0])*a.ONE_MONTH:this.interval=12*a.ONE_MONTH}get_ticks_no_defaults(t,e,n,i){const s=function(t,e){const n=a.last_year_no_later_than(new Date(t)),i=a.last_year_no_later_than(new Date(e));i.setUTCFullYear(i.getUTCFullYear()+1);const s=[],r=n;for(;s.push(a.copy_date(r)),r.setUTCFullYear(r.getUTCFullYear()+1),!(r>i););return s}(t,e),r=this.months;return{major:o.concat(s.map((t=>r.map((e=>{const n=a.copy_date(t);return n.setUTCMonth(e),n}))))).map((t=>t.getTime())).filter((n=>t<=n&&n<=e)),minor:[]}}}n.MonthsTicker=c,c.__name__=\"MonthsTicker\",c.init_MonthsTicker()},\n", - " function _(e,t,a,i,r){i();const n=e(177),_=e(188),s=e(189);class c extends _.SingleIntervalTicker{constructor(e){super(e)}initialize(){super.initialize(),this.interval=s.ONE_YEAR,this.basic_ticker=new n.BasicTicker({num_minor_ticks:0})}get_ticks_no_defaults(e,t,a,i){const r=s.last_year_no_later_than(new Date(e)).getUTCFullYear(),n=s.last_year_no_later_than(new Date(t)).getUTCFullYear();return{major:this.basic_ticker.get_ticks_no_defaults(r,n,a,i).major.map((e=>Date.UTC(e,0,1))).filter((a=>e<=a&&a<=t)),minor:[]}}}a.YearsTicker=c,c.__name__=\"YearsTicker\"},\n", - " function _(i,s,t,e,o){e();const n=i(173),r=i(193),_=i(194);class c extends n.ContinuousAxisView{}t.LogAxisView=c,c.__name__=\"LogAxisView\";class x extends n.ContinuousAxis{constructor(i){super(i)}static init_LogAxis(){this.prototype.default_view=c,this.override({ticker:()=>new _.LogTicker,formatter:()=>new r.LogTickFormatter})}}t.LogAxis=x,x.__name__=\"LogAxis\",x.init_LogAxis()},\n", - " function _(t,e,r,i,n){i();const o=t(166),a=t(176),s=t(194),c=t(167),{log:l,round:u}=Math;class _ extends o.TickFormatter{constructor(t){super(t)}static init_LogTickFormatter(){this.define((({Ref:t,Nullable:e})=>({ticker:[e(t(s.LogTicker)),null]})))}initialize(){super.initialize(),this.basic_formatter=new a.BasicTickFormatter}format_graphics(t,e){var r,i;if(0==t.length)return[];const n=null!==(i=null===(r=this.ticker)||void 0===r?void 0:r.base)&&void 0!==i?i:10,o=this._exponents(t,n);return null==o?this.basic_formatter.format_graphics(t,e):o.map((t=>{const e=new c.TextBox({text:a.unicode_replace(`${n}`)}),r=new c.TextBox({text:a.unicode_replace(`${t}`)});return new c.BaseExpo(e,r)}))}_exponents(t,e){let r=null;const i=[];for(const n of t){const t=u(l(n)/l(e));if(r==t)return null;r=t,i.push(t)}return i}doFormat(t,e){var r,i;if(0==t.length)return[];const n=null!==(i=null===(r=this.ticker)||void 0===r?void 0:r.base)&&void 0!==i?i:10,o=this._exponents(t,n);return null==o?this.basic_formatter.doFormat(t,e):o.map((t=>a.unicode_replace(`${n}^${t}`)))}}r.LogTickFormatter=_,_.__name__=\"LogTickFormatter\",_.init_LogTickFormatter()},\n", - " function _(t,o,e,i,s){i();const n=t(178),r=t(9);class c extends n.AdaptiveTicker{constructor(t){super(t)}static init_LogTicker(){this.override({mantissas:[1,5]})}get_ticks_no_defaults(t,o,e,i){const s=this.num_minor_ticks,n=[],c=this.base,a=Math.log(t)/Math.log(c),f=Math.log(o)/Math.log(c),l=f-a;let h;if(isFinite(l))if(l<2){const e=this.get_interval(t,o,i),c=Math.floor(t/e),a=Math.ceil(o/e);if(h=r.range(c,a+1).filter((t=>0!=t)).map((t=>t*e)).filter((e=>t<=e&&e<=o)),s>0&&h.length>0){const t=e/s,o=r.range(0,s).map((o=>o*t));for(const t of o.slice(1))n.push(h[0]-t);for(const t of h)for(const e of o)n.push(t+e)}}else{const t=Math.ceil(.999999*a),o=Math.floor(1.000001*f),e=Math.ceil((o-t)/9);if(h=r.range(t-1,o+1,e).map((t=>c**t)),s>0&&h.length>0){const t=c**e/s,o=r.range(1,s+1).map((o=>o*t));for(const t of o)n.push(h[0]/t);n.push(h[0]);for(const t of h)for(const e of o)n.push(t*e)}}else h=[];return{major:h.filter((e=>t<=e&&e<=o)),minor:n.filter((e=>t<=e&&e<=o))}}}e.LogTicker=c,c.__name__=\"LogTicker\",c.init_LogTicker()},\n", - " function _(e,t,i,r,s){r();const a=e(163),o=e(175),c=e(196),n=e(197);class _ extends a.AxisView{}i.MercatorAxisView=_,_.__name__=\"MercatorAxisView\";class x extends o.LinearAxis{constructor(e){super(e)}static init_MercatorAxis(){this.prototype.default_view=_,this.override({ticker:()=>new n.MercatorTicker({dimension:\"lat\"}),formatter:()=>new c.MercatorTickFormatter({dimension:\"lat\"})})}}i.MercatorAxis=x,x.__name__=\"MercatorAxis\",x.init_MercatorAxis()},\n", - " function _(r,t,e,o,n){o();const i=r(176),c=r(20),a=r(65);class s extends i.BasicTickFormatter{constructor(r){super(r)}static init_MercatorTickFormatter(){this.define((({Nullable:r})=>({dimension:[r(c.LatLon),null]})))}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:[t(e.LatLon),null]})))}get_ticks_no_defaults(t,o,n,r){if(null==this.dimension)throw new Error(`${this}.dimension wasn't configured`);return[t,o]=c.clip_mercator(t,o,this.dimension),\"lon\"==this.dimension?this._get_ticks_lon(t,o,n,r):this._get_ticks_lat(t,o,n,r)}_get_ticks_lon(t,o,n,r){const[s]=c.wgs84_mercator.invert(t,n),[i,e]=c.wgs84_mercator.invert(o,n),_=super.get_ticks_no_defaults(s,i,n,r),a=[];for(const t of _.major)if(c.in_bounds(t,\"lon\")){const[o]=c.wgs84_mercator.compute(t,e);a.push(o)}const m=[];for(const t of _.minor)if(c.in_bounds(t,\"lon\")){const[o]=c.wgs84_mercator.compute(t,e);m.push(o)}return{major:a,minor:m}}_get_ticks_lat(t,o,n,r){const[,s]=c.wgs84_mercator.invert(n,t),[i,e]=c.wgs84_mercator.invert(n,o),_=super.get_ticks_no_defaults(s,e,n,r),a=[];for(const t of _.major)if(c.in_bounds(t,\"lat\")){const[,o]=c.wgs84_mercator.compute(i,t);a.push(o)}const m=[];for(const t of _.minor)if(c.in_bounds(t,\"lat\")){const[,o]=c.wgs84_mercator.compute(i,t);m.push(o)}return{major:a,minor:m}}}n.MercatorTicker=_,_.__name__=\"MercatorTicker\",_.init_MercatorTicker()},\n", - " function _(e,i,r,c,k){c(),k(\"AdaptiveTicker\",e(178).AdaptiveTicker),k(\"BasicTicker\",e(177).BasicTicker),k(\"CategoricalTicker\",e(171).CategoricalTicker),k(\"CompositeTicker\",e(186).CompositeTicker),k(\"ContinuousTicker\",e(179).ContinuousTicker),k(\"DatetimeTicker\",e(185).DatetimeTicker),k(\"DaysTicker\",e(187).DaysTicker),k(\"FixedTicker\",e(199).FixedTicker),k(\"LogTicker\",e(194).LogTicker),k(\"MercatorTicker\",e(197).MercatorTicker),k(\"MonthsTicker\",e(190).MonthsTicker),k(\"SingleIntervalTicker\",e(188).SingleIntervalTicker),k(\"Ticker\",e(165).Ticker),k(\"YearsTicker\",e(191).YearsTicker),k(\"BinnedTicker\",e(200).BinnedTicker)},\n", - " function _(i,t,e,r,n){r();const s=i(179);class _ extends s.ContinuousTicker{constructor(i){super(i)}static init_FixedTicker(){this.define((({Number:i,Array:t})=>({ticks:[t(i),[]],minor_ticks:[t(i),[]]})))}get_ticks_no_defaults(i,t,e,r){return{major:this.ticks,minor:this.minor_ticks}}get_interval(i,t,e){return 0}get_min_interval(){return 0}get_max_interval(){return 0}}e.FixedTicker=_,_.__name__=\"FixedTicker\",_.init_FixedTicker()},\n", - " function _(e,n,t,i,r){i();const c=e(165),o=e(201),s=e(12);class a extends c.Ticker{constructor(e){super(e)}static init_BinnedTicker(){this.define((({Number:e,Ref:n,Or:t,Auto:i})=>({mapper:[n(o.ScanningColorMapper)],num_major_ticks:[t(e,i),8]})))}get_ticks(e,n,t,i){const{binning:r}=this.mapper.metrics,c=Math.max(0,s.left_edge_index(e,r)),o=Math.min(s.left_edge_index(n,r)+1,r.length-1),a=[];for(let e=c;e<=o;e++)a.push(r[e]);const{num_major_ticks:_}=this,m=[],h=\"auto\"==_?a.length:_,l=Math.max(1,Math.floor(a.length/h));for(let e=0;eo.binning[o.binning.length-1])return r;return e[a.left_edge_index(n,o.binning)]}}i.ScanningColorMapper=c,c.__name__=\"ScanningColorMapper\"},\n", - " function _(t,o,e,n,s){n();const l=t(203),i=t(61),c=t(9),a=t(8);class r extends l.ColorMapper{constructor(t){super(t),this._scan_data=null}static init_ContinuousColorMapper(){this.define((({Number:t,String:o,Ref:e,Color:n,Or:s,Tuple:l,Array:c,Nullable:a})=>({high:[a(t),null],low:[a(t),null],high_color:[a(n),null],low_color:[a(n),null],domain:[c(l(e(i.GlyphRenderer),s(o,c(o)))),[]]})))}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:o}=this,e=[...this._collect(t)];this._scan_data=this.scan(e,o.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[o,e]of t)for(const t of a.isArray(e)?e:[e]){let e=o.data_source.get_column(t);e=o.view.indices.select(e);const n=o.view.masked,s=o.data_source.selected.indices;let l;if(null!=n&&s.length>0?l=c.intersection([...n],s):null!=n?l=[...n]:s.length>0&&(l=s),null!=l&&(e=c.map(l,(t=>e[t]))),e.length>0&&!a.isNumber(e[0]))for(const t of e)yield*t;else yield*e}}_v_compute(t,o,e,n){const{nan_color:s}=n;let{low_color:l,high_color:i}=n;null==l&&(l=e[0]),null==i&&(i=e[e.length-1]);const{domain:a}=this,r=c.is_empty(a)?t:[...this._collect(a)];this._scan_data=this.scan(r,e.length),this.metrics_change.emit();for(let n=0,c=t.length;n({palette:[r(t)],nan_color:[t,\"gray\"]})))}v_compute(t){const r=new Array(t.length);return this._v_compute(t,r,this.palette,this._colors((t=>t))),r}get rgba_mapper(){const t=this,r=p(this.palette),e=this._colors(s);return{v_compute(n){const o=new c.ColorArray(n.length);return t._v_compute(n,o,r,e),new Uint8ClampedArray(l.to_big_endian(o).buffer)}}}_colors(t){return{nan_color:t(this.nan_color)}}}e.ColorMapper=u,u.__name__=\"ColorMapper\",u.init_ColorMapper()},\n", - " function _(r,e,n,s,o){s();const p=r(149);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 _(t,r,a,e,c){e(),c(\"BasicTickFormatter\",t(176).BasicTickFormatter),c(\"CategoricalTickFormatter\",t(172).CategoricalTickFormatter),c(\"DatetimeTickFormatter\",t(180).DatetimeTickFormatter),c(\"FuncTickFormatter\",t(206).FuncTickFormatter),c(\"LogTickFormatter\",t(193).LogTickFormatter),c(\"MercatorTickFormatter\",t(196).MercatorTickFormatter),c(\"NumeralTickFormatter\",t(207).NumeralTickFormatter),c(\"PrintfTickFormatter\",t(208).PrintfTickFormatter),c(\"TickFormatter\",t(166).TickFormatter)},\n", - " function _(t,n,e,s,i){s();const r=t(166),c=t(13),a=t(34);class u extends r.TickFormatter{constructor(t){super(t)}static init_FuncTickFormatter(){this.define((({Unknown:t,String:n,Dict:e})=>({args:[e(t),{}],code:[n,\"\"]})))}get names(){return c.keys(this.args)}get values(){return c.values(this.args)}_make_func(){const t=a.use_strict(this.code);return new Function(\"tick\",\"index\",\"ticks\",...this.names,t)}doFormat(t,n){const e=this._make_func().bind({});return t.map(((t,n,s)=>`${e(t,n,s,...this.values)}`))}}e.FuncTickFormatter=u,u.__name__=\"FuncTickFormatter\",u.init_FuncTickFormatter()},\n", - " function _(r,t,n,e,a){e();const o=r(1).__importStar(r(183)),i=r(166),u=r(20);class c extends i.TickFormatter{constructor(r){super(r)}static init_NumeralTickFormatter(){this.define((({String:r})=>({format:[r,\"0,0\"],language:[r,\"en\"],rounding:[u.RoundingFunction,\"round\"]})))}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,t){const{format:n,language:e,_rounding_fn:a}=this;return r.map((r=>o.format(r,n,e,a)))}}n.NumeralTickFormatter=c,c.__name__=\"NumeralTickFormatter\",c.init_NumeralTickFormatter()},\n", - " function _(t,r,i,n,o){n();const a=t(166),e=t(182);class c extends a.TickFormatter{constructor(t){super(t)}static init_PrintfTickFormatter(){this.define((({String:t})=>({format:[t,\"%s\"]})))}doFormat(t,r){return t.map((t=>e.sprintf(this.format,t)))}}i.PrintfTickFormatter=c,c.__name__=\"PrintfTickFormatter\",c.init_PrintfTickFormatter()},\n", - " function _(r,o,a,p,e){p(),e(\"CategoricalColorMapper\",r(210).CategoricalColorMapper),e(\"CategoricalMarkerMapper\",r(212).CategoricalMarkerMapper),e(\"CategoricalPatternMapper\",r(213).CategoricalPatternMapper),e(\"ContinuousColorMapper\",r(202).ContinuousColorMapper),e(\"ColorMapper\",r(203).ColorMapper),e(\"LinearColorMapper\",r(214).LinearColorMapper),e(\"LogColorMapper\",r(215).LogColorMapper),e(\"ScanningColorMapper\",r(201).ScanningColorMapper),e(\"EqHistColorMapper\",r(216).EqHistColorMapper)},\n", - " function _(t,o,a,r,e){r();const c=t(211),l=t(203),i=t(104);class s extends l.ColorMapper{constructor(t){super(t)}static init_CategoricalColorMapper(){this.define((({Number:t,Nullable:o})=>({factors:[i.FactorSeq],start:[t,0],end:[o(t),null]})))}_v_compute(t,o,a,{nan_color:r}){c.cat_v_compute(t,this.factors,a,o,this.start,this.end,r)}}a.CategoricalColorMapper=s,s.__name__=\"CategoricalColorMapper\",s.init_CategoricalColorMapper()},\n", - " function _(n,t,e,l,i){l();const c=n(12),u=n(8);function f(n,t){if(n.length!=t.length)return!1;for(let e=0,l=n.length;ef(n,h)))),s=_<0||_>=e.length?r:e[_],l[g]=s}}},\n", - " function _(r,e,a,t,s){t();const c=r(211),i=r(104),l=r(204),n=r(20);class p extends l.Mapper{constructor(r){super(r)}static init_CategoricalMarkerMapper(){this.define((({Number:r,Array:e,Nullable:a})=>({factors:[i.FactorSeq],markers:[e(n.MarkerType)],start:[r,0],end:[a(r),null],default_value:[n.MarkerType,\"circle\"]})))}v_compute(r){const e=new Array(r.length);return c.cat_v_compute(r,this.factors,this.markers,e,this.start,this.end,this.default_value),e}}a.CategoricalMarkerMapper=p,p.__name__=\"CategoricalMarkerMapper\",p.init_CategoricalMarkerMapper()},\n", - " function _(t,a,e,r,n){r();const s=t(211),c=t(104),i=t(204),p=t(20);class l extends i.Mapper{constructor(t){super(t)}static init_CategoricalPatternMapper(){this.define((({Number:t,Array:a,Nullable:e})=>({factors:[c.FactorSeq],patterns:[a(p.HatchPatternType)],start:[t,0],end:[e(t),null],default_value:[p.HatchPatternType,\" \"]})))}v_compute(t){const a=new Array(t.length);return s.cat_v_compute(t,this.factors,this.patterns,a,this.start,this.end,this.default_value),a}}e.CategoricalPatternMapper=l,l.__name__=\"CategoricalPatternMapper\",l.init_CategoricalPatternMapper()},\n", - " function _(n,r,o,t,a){t();const e=n(202),i=n(12);class s extends e.ContinuousColorMapper{constructor(n){super(n)}scan(n,r){const o=null!=this.low?this.low:i.min(n),t=null!=this.high?this.high: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(202),s=o(12);class e extends a.ContinuousColorMapper{constructor(o){super(o)}scan(o,t){const n=null!=this.low?this.low:s.min(o),r=null!=this.high?this.high: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 _(n,t,i,e,o){e();const s=n(201),r=n(12),a=n(9),l=n(19);class c extends s.ScanningColorMapper{constructor(n){super(n)}static init_EqHistColorMapper(){this.define((({Int:n})=>({bins:[n,65536]})))}scan(n,t){const i=null!=this.low?this.low:r.min(n),e=null!=this.high?this.high:r.max(n),o=this.bins,s=a.linspace(i,e,o+1),c=r.bin_counts(n,s),h=new Array(o);for(let n=0,t=s.length;nn/g));let m=t-1,M=[],_=0,f=2*t;for(;m!=t&&_<4&&0!=m;){const n=f/m;if(n>1e3)break;f=Math.round(Math.max(t*n,t));const i=a.range(0,f),e=r.map(u,(n=>n*(f-1)));M=r.interpolate(i,e,h);m=a.uniq(M).length-1,_++}if(0==m){M=[i,e];for(let n=0;ne*n+t}compute(e){return this._linear_compute(e)}v_compute(e){return this._linear_v_compute(e)}invert(e){return this._linear_invert(e)}v_invert(e){return this._linear_v_invert(e)}}n.LinearScale=u,u.__name__=\"LinearScale\"},\n", - " function _(n,e,t,r,i){r();const a=n(146),o=n(12);class c extends a.Scale{constructor(n){super(n)}static init_LinearInterpolationScale(){this.internal((({Arrayable:n})=>({binning:[n]})))}get s_compute(){throw new Error(\"not implemented\")}compute(n){return n}v_compute(n){const{binning:e}=this,{start:t,end:r}=this.source_range,i=t,a=r,c=e.length,l=(r-t)/(c-1),s=new Float64Array(c);for(let n=0;n{if(na)return a;const t=o.left_edge_index(n,e),r=e[t],c=(n-r)/(e[t+1]-r),l=s[t];return l+c*(s[t+1]-l)}));return this._linear_v_compute(_)}invert(n){return n}v_invert(n){return new Float64Array(n)}}t.LinearInterpolationScale=c,c.__name__=\"LinearInterpolationScale\",c.init_LinearInterpolationScale()},\n", - " function _(a,n,e,g,R){g(),R(\"DataRange\",a(160).DataRange),R(\"DataRange1d\",a(159).DataRange1d),R(\"FactorRange\",a(104).FactorRange),R(\"Range\",a(105).Range),R(\"Range1d\",a(156).Range1d)},\n", - " function _(a,o,i,t,e){t();var n=a(141);e(\"Sizeable\",n.Sizeable),e(\"SizingPolicy\",n.SizingPolicy);var c=a(142);e(\"Layoutable\",c.Layoutable),e(\"LayoutItem\",c.LayoutItem);var r=a(222);e(\"HStack\",r.HStack),e(\"VStack\",r.VStack);var l=a(223);e(\"Grid\",l.Grid),e(\"Row\",l.Row),e(\"Column\",l.Column);var S=a(224);e(\"ContentBox\",S.ContentBox),e(\"VariadicBox\",S.VariadicBox)},\n", - " function _(t,e,h,i,r){i();const n=t(142),o=t(99);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(141),l=t(142),r=t(8),h=t(99),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 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 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=r.isPlainObject(this.rows)?null!==(t=this.rows[s])&&void 0!==t?t:this.rows[\"*\"]:this.rows;return null==i?{policy:\"auto\"}:r.isNumber(i)?{policy:\"fixed\",height:i}: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\");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=r.isPlainObject(this.cols)?null!==(i=this.cols[t])&&void 0!==i?i:this.cols[\"*\"]:this.cols;return null==s?{policy:\"auto\"}:r.isNumber(s)?{policy:\"fixed\",width:s}: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\");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]=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:c.sum(t)+(s-1)*o,width: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=s=>{let o;o=\"fixed\"==this.sizing.height_policy&&null!=this.sizing.height?this.sizing.height:t.height!=1/0&&this.is_height_expanding()?Math.max(t.height,s.size.height):s.size.height;let l=0;for(let t=0;t0)for(let t=0;ti?i:e,t--}}}},h=i=>{let e;e=\"fixed\"==this.sizing.width_policy&&null!=this.sizing.width?this.sizing.width:t.width!=1/0&&this.is_width_expanding()?t.width:i.size.width;let n=0;for(let t=0;t0)for(let t=0;ts?s:o,t--}}}},c=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}}));r(c),h(c);const p=this._measure_cells(((t,i)=>({width:c.col_widths[i],height:c.row_heights[t]})));r(p),h(p);const{row_heights:f,col_widths:_}=p;return{size:this._measure_totals(f,_),row_heights:f,col_widths:_}}_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}=this._measure_grid(t),{size_hints:c}=this._measure_cells(((t,i)=>({width:r[i],height:l[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(142),c=e(141),o=e(43);class r extends a.ContentLayoutable{constructor(e){super(),this.content_size=o.unsized(e,(()=>new c.Sizeable(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 o.sized(this.el,t,(()=>{const e=new c.Sizeable(o.content_size(this.el)),{border:t,padding:s}=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(141),r=t(142),n=t(99);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,n){s();const o=t(1),l=t(139),a=t(10),_=t(143),d=t(20),h=o.__importStar(t(48));class r extends l.TextAnnotationView{_get_size(){const{ctx:t}=this.layer;this.visuals.text.set_value(t);const{width:e}=t.measureText(this.model.text),{height:i}=_.font_metrics(t.font);return{width:e,height:i}}_render(){const{angle:t,angle_units:e}=this.model,i=a.resolve_angle(t,e),s=null!=this.layout?this.layout:this.plot_view.frame,n=this.coordinates.x_scale,o=this.coordinates.y_scale;let l=\"data\"==this.model.x_units?n.compute(this.model.x):s.bbox.xview.compute(this.model.x),_=\"data\"==this.model.y_units?o.compute(this.model.y):s.bbox.yview.compute(this.model.y);l+=this.model.x_offset,_-=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,l,_,i)}}i.LabelView=r,r.__name__=\"LabelView\";class c extends l.TextAnnotation{constructor(t){super(t)}static init_Label(){this.prototype.default_view=r,this.mixins([h.Text,[\"border_\",h.Line],[\"background_\",h.Fill]]),this.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]}))),this.override({background_fill_color:null,border_line_color:null})}}i.Label=c,c.__name__=\"Label\",c.init_Label()},\n", - " function _(t,e,s,i,o){i();const l=t(1),n=t(139),a=t(56),r=t(130),_=l.__importStar(t(48)),c=t(20),h=t(43),d=l.__importStar(t(18)),u=t(143);class x extends n.TextAnnotationView{set_data(t){a.DataAnnotationView.prototype.set_data.call(this,t)}initialize(){if(super.initialize(),this.set_data(this.model.source),\"css\"==this.model.render_mode)for(let t=0,e=this.text.length;t{this.set_data(this.model.source),\"css\"==this.model.render_mode?this.render():this.request_render()};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)}_calculate_text_dimensions(t,e){const{width:s}=t.measureText(e),{height:i}=u.font_metrics(this.visuals.text.font_value(0));return[s,i]}_map_data(){const t=this.coordinates.x_scale,e=this.coordinates.y_scale,s=null!=this.layout?this.layout:this.plot_view.frame;return[\"data\"==this.model.x_units?t.v_compute(this._x):s.bbox.xview.v_compute(this._x),\"data\"==this.model.y_units?e.v_compute(this._y):s.bbox.yview.v_compute(this._y)]}_render(){const t=\"canvas\"==this.model.render_mode?this._v_canvas_text.bind(this):this._v_css_text.bind(this),{ctx:e}=this.layer,[s,i]=this._map_data();for(let o=0,l=this.text.length;o({x:[d.XCoordinateSpec,{field:\"x\"}],y:[d.YCoordinateSpec,{field:\"y\"}],x_units:[c.SpatialUnits,\"data\"],y_units:[c.SpatialUnits,\"data\"],text:[d.StringSpec,{field:\"text\"}],angle:[d.AngleSpec,0],x_offset:[d.NumberSpec,{value:0}],y_offset:[d.NumberSpec,{value:0}],source:[t(r.ColumnDataSource),()=>new r.ColumnDataSource]}))),this.override({background_fill_color:null,border_line_color:null})}}s.LabelSet=v,v.__name__=\"LabelSet\",v.init_LabelSet()},\n", - " function _(t,e,i,s,l){s();const n=t(1),h=t(40),o=t(229),a=t(20),_=n.__importStar(t(48)),r=t(15),d=t(140),c=t(143),g=t(99),m=t(9),b=t(8),f=t(11);class u extends h.AnnotationView{update_layout(){const{panel:t}=this;this.layout=null!=t?new d.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:s,label_width:l}=this.model;this.max_label_height=m.max([c.font_metrics(this.visuals.label_text.font_value()).height,s,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,m.max([n.measureText(e).width,l]));this.visuals.title_text.set_value(n),this.title_height=this.model.title?c.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 h=Math.max(m.max([...this.text_widths.values()]),0),o=this.model.margin,{legend_padding:a}=this,_=this.model.spacing,{label_standoff:r}=this.model;let d,u;if(\"vertical\"==this.model.orientation)d=t.length*this.max_label_height+Math.max(t.length-1,0)*_+2*a+this.title_height,u=m.max([h+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+=m.max([t,l])+i+r;u=m.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(b.isString(v))switch(v){case\"top_left\":y=p.start+o,k=w.start+o;break;case\"top\":case\"top_center\":y=(p.end+p.start)/2-u/2,k=w.start+o;break;case\"top_right\":y=p.end-o-u,k=w.start+o;break;case\"bottom_right\":y=p.end-o-u,k=w.end-o-d;break;case\"bottom\":case\"bottom_center\":y=(p.end+p.start)/2-u/2,k=w.end-o-d;break;case\"bottom_left\":y=p.start+o,k=w.end-o-d;break;case\"left\":case\"center_left\":y=p.start+o,k=(w.end+w.start)/2-d/2;break;case\"center\":case\"center_center\":y=(p.end+p.start)/2-u/2,k=(w.end+w.start)/2-d/2;break;case\"right\":case\"center_right\":y=p.end-o-u,k=(w.end+w.start)/2-d/2}else if(b.isArray(v)&&2==v.length){const[t,e]=v;y=x.bbox.xview.compute(t),k=x.bbox.yview.compute(e)-d}else f.unreachable();return new g.BBox({left:y,top:k,width:u,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:s}=this.model,{legend_padding:l}=this,n=this.model.spacing,{label_standoff:h}=this.model;let o=i=l;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+o,m=a.y+i+this.title_height;let b,f;[b,f]=_?[a.width-2*l,this.max_label_height]:[this.text_widths.get(c)+s+h,this.max_label_height];if(new g.BBox({left:d,top:m,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:o+=this.text_widths.get(c)+s+h+n}}return!1}_render(){if(0==this.model.items.length)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.set_value(t),t.fill(),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(t),t.stroke())}_draw_legend_items(t,e){const{glyph_width:i,glyph_height:s}=this.model,{legend_padding:l}=this,n=this.model.spacing,{label_standoff:h}=this.model;let o=l,a=l;const _=\"vertical\"==this.model.orientation;for(const r of this.model.items){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 m.every(r.renderers,(t=>t.visible));case\"mute\":return m.every(r.renderers,(t=>!t.muted))}})();for(const m of d){const d=e.x+o,b=e.y+a+this.title_height,f=d+i,u=b+s;_?a+=this.max_label_height+n:o+=this.text_widths.get(m)+i+h+n,this.visuals.label_text.set_value(t),t.fillText(m,f+h,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 s,n;[s,n]=_?[e.width-2*l,this.max_label_height]:[this.text_widths.get(m)+i+h,this.max_label_height],t.beginPath(),t.rect(d,b,s,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=u,u.__name__=\"LegendView\";class x extends h.Annotation{constructor(t){super(t)}initialize(){super.initialize(),this.item_change=new r.Signal0(this,\"item_change\")}static init_Legend(){this.prototype.default_view=u,this.mixins([[\"label_\",_.Text],[\"title_\",_.Text],[\"inactive_\",_.Fill],[\"border_\",_.Line],[\"background_\",_.Fill]]),this.define((({Number:t,String:e,Array:i,Tuple:s,Or:l,Ref:n,Nullable:h})=>({orientation:[a.Orientation,\"vertical\"],location:[l(a.LegendLocation,s(t,t)),\"top_right\"],title:[h(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(o.LegendItem)),[]],click_policy:[a.LegendClickPolicy,\"none\"]}))),this.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\"})}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=x,x.__name__=\"Legend\",x.init_Legend()},\n", - " function _(e,r,n,l,t){l();const i=e(1),s=e(53),o=e(61),_=e(57),a=e(230),u=i.__importStar(e(18)),d=e(19),c=e(9);class f extends s.Model{constructor(e){super(e)}static init_LegendItem(){this.define((({Int:e,Array:r,Ref:n,Nullable:l})=>({label:[u.NullStringSpec,null],renderers:[r(n(o.GlyphRenderer)),[]],index:[l(e),null]})))}_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&&!c.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()||d.logger.error(\"Non matching data sources on legend item renderers\");this._check_field_label_on_data_source()||d.logger.error(`Bad column name on label: ${this.label}`)}get_field_from_label_prop(){const{label:e}=this;return a.isField(e)?e.field:null}get_labels_list_from_label_prop(){if(a.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 n=r.get_column(e);return null!=n?c.uniq(Array.from(n)):[\"Invalid field\"]}}return[]}}n.LegendItem=f,f.__name__=\"LegendItem\",f.init_LegendItem()},\n", - " function _(i,n,e,t,u){t();const c=i(8);e.isValue=function(i){return c.isPlainObject(i)&&\"value\"in i},e.isField=function(i){return c.isPlainObject(i)&&\"field\"in i},e.isExpr=function(i){return c.isPlainObject(i)&&\"expr\"in i}},\n", - " function _(t,i,s,n,e){n();const o=t(1),l=t(40),a=o.__importStar(t(48)),c=t(20);class h extends l.AnnotationView{connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.request_render()))}_render(){const{xs:t,ys:i}=this.model;if(t.length!=i.length)return;const s=t.length;if(s<3)return;const{frame:n}=this.plot_view,{ctx:e}=this.layer,o=this.coordinates.x_scale,l=this.coordinates.y_scale,{screen:a}=this.model;function c(t,i,s,n){return a?t:\"data\"==i?s.v_compute(t):n.v_compute(t)}const h=c(t,this.model.xs_units,o,n.bbox.xview),r=c(i,this.model.ys_units,l,n.bbox.yview);e.beginPath();for(let t=0;t({xs:[i(t),[]],xs_units:[c.SpatialUnits,\"data\"],ys:[i(t),[]],ys_units:[c.SpatialUnits,\"data\"]}))),this.internal((({Boolean:t})=>({screen:[t,!1]}))),this.override({fill_color:\"#fff9ba\",fill_alpha:.4,line_color:\"#cccccc\",line_alpha:.3})}update({xs:t,ys:i}){this.setv({xs:t,ys:i,screen:!0},{check_eq:!1})}}s.PolyAnnotation=r,r.__name__=\"PolyAnnotation\",r.init_PolyAnnotation()},\n", - " function _(e,t,i,n,o){n();const s=e(1),l=e(40),r=s.__importStar(e(48));class c extends l.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:i}=this.plot_view,n=this.coordinates.x_scale,o=this.coordinates.y_scale;let s,l,r,c;if(0==e)s=o.compute(t),l=s,r=i.bbox.left,c=r+i.bbox.width;else{s=i.bbox.top,l=s+i.bbox.height;const a=(o.invert(s)-t)/e,_=(o.invert(l)-t)/e;r=n.compute(a),c=n.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()}}i.SlopeView=c,c.__name__=\"SlopeView\";class a extends l.Annotation{constructor(e){super(e)}static init_Slope(){this.prototype.default_view=c,this.mixins(r.Line),this.define((({Number:e,Nullable:t})=>({gradient:[t(e),null],y_intercept:[t(e),null]}))),this.override({line_color:\"black\"})}}i.Slope=a,a.__name__=\"Slope\",a.init_Slope()},\n", - " function _(e,i,t,n,o){n();const s=e(1),a=e(40),l=s.__importStar(e(48)),h=e(20);class c 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:i}=this.plot_view,t=this.coordinates.x_scale,n=this.coordinates.y_scale,o=(i,t)=>\"data\"==this.model.location_units?i.compute(e):this.model.for_hover?e:t.compute(e);let s,a,l,h;\"width\"==this.model.dimension?(l=o(n,i.bbox.yview),a=i.bbox.left,h=i.bbox.width,s=this.model.line_width):(l=i.bbox.top,a=o(t,i.bbox.xview),h=this.model.line_width,s=i.bbox.height);const{ctx:c}=this.layer;c.save(),c.beginPath(),this.visuals.line.set_value(c),c.moveTo(a,l),\"width\"==this.model.dimension?c.lineTo(a+h,l):c.lineTo(a,l+s),c.stroke(),c.restore()}}t.SpanView=c,c.__name__=\"SpanView\";class d extends a.Annotation{constructor(e){super(e)}static init_Span(){this.prototype.default_view=c,this.mixins(l.Line),this.define((({Number:e,Nullable:i})=>({render_mode:[h.RenderMode,\"canvas\"],location:[i(e),null],location_units:[h.SpatialUnits,\"data\"],dimension:[h.Dimension,\"width\"]}))),this.internal((({Boolean:e})=>({for_hover:[e,!1]}))),this.override({line_color:\"black\"})}}t.Span=d,d.__name__=\"Span\",d.init_Span()},\n", - " function _(i,e,t,o,l){o();const s=i(40),a=i(235),n=i(122),r=i(43),_=i(140),h=i(99);class b extends s.AnnotationView{constructor(){super(...arguments),this._invalidate_toolbar=!0,this._previous_bbox=new h.BBox}update_layout(){this.layout=new _.SideLayout(this.panel,(()=>this.get_size()),!0)}initialize(){super.initialize(),this.el=r.div(),this.plot_view.canvas_view.add_event(this.el)}async lazy_initialize(){await super.lazy_initialize(),this._toolbar_view=await 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(),r.remove(this.el),super.remove()}render(){this.model.visible||r.undisplay(this.el),super.render()}_render(){const{bbox:i}=this.layout;this._previous_bbox.equals(i)||(r.position(this.el,i),this._previous_bbox=i),this._invalidate_toolbar&&(this.el.style.position=\"absolute\",this.el.style.overflow=\"hidden\",this._toolbar_view.render(),r.empty(this.el),this.el.appendChild(this._toolbar_view.el),this._invalidate_toolbar=!1),r.display(this.el)}_get_size(){const{tools:i,logo:e}=this.model.toolbar;return{width:30*i.length+(null!=e?25:0),height:30}}}t.ToolbarPanelView=b,b.__name__=\"ToolbarPanelView\";class d extends s.Annotation{constructor(i){super(i)}static init_ToolbarPanel(){this.prototype.default_view=b,this.define((({Ref:i})=>({toolbar:[i(a.Toolbar)]})))}}t.ToolbarPanel=d,d.__name__=\"ToolbarPanel\",d.init_ToolbarPanel()},\n", - " function _(t,s,e,i,o){i();const c=t(8),n=t(9),a=t(13),l=t(236),r=t(237),_=t(247),p=t(248);e.Drag=l.Tool,e.Inspection=l.Tool,e.Scroll=l.Tool,e.Tap=l.Tool;const u=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},h=t=>\"tap\"==t||\"pan\"==t;class v extends p.ToolbarBase{constructor(t){super(t)}static init_Toolbar(){this.prototype.default_view=p.ToolbarBaseView,this.define((({Or:t,Ref:s,Auto:i,Null:o,Nullable:c})=>({active_drag:[t(s(e.Drag),i,o),\"auto\"],active_inspect:[t(s(e.Inspection),i,o),\"auto\"],active_scroll:[t(s(e.Scroll),i,o),\"auto\"],active_tap:[t(s(e.Tap),i,o),\"auto\"],active_multi:[c(s(r.GestureTool)),null]})))}connect_signals(){super.connect_signals();const{tools:t,active_drag:s,active_inspect:e,active_scroll:i,active_tap:o,active_multi:c}=this.properties;this.on_change([t,s,e,i,o,c],(()=>this._init_tools()))}_init_tools(){if(super._init_tools(),\"auto\"==this.active_inspect);else if(this.active_inspect instanceof _.InspectTool){let t=!1;for(const s of this.inspectors)s!=this.active_inspect?s.active=!1:t=!0;t||(this.active_inspect=null)}else if(c.isArray(this.active_inspect)){const t=n.intersection(this.active_inspect,this.inspectors);t.length!=this.active_inspect.length&&(this.active_inspect=t);for(const t of this.inspectors)n.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 a.values(this.gestures)){t.tools=n.sort_by(t.tools,(t=>t.default_order));for(const s of t.tools)this.connect(s.properties.active.change,(()=>this._active_change(s)))}for(const[s,e]of a.entries(this.gestures)){const i=u(s);if(i){const o=this[i];\"auto\"==o?0!=e.tools.length&&h(s)&&t(e.tools[0]):null!=o&&(n.includes(this.tools,o)?t(o):this[i]=null)}}}}e.Toolbar=v,v.__name__=\"Toolbar\",v.init_Toolbar()},\n", - " function _(t,e,n,i,o){i();const s=t(42),a=t(9),r=t(53);class l extends s.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=l,l.__name__=\"ToolView\";class _ extends r.Model{constructor(t){super(t)}static init_Tool(){this.prototype._known_aliases=new Map,this.define((({String:t,Nullable:e})=>({description:[e(t),null]}))),this.internal((({Boolean:t})=>({active:[t,!1]})))}get synthetic_renderers(){return[]}_get_dim_limits([t,e],[n,i],o,s){const r=o.bbox.h_range;let l;\"width\"==s||\"both\"==s?(l=[a.min([t,n]),a.max([t,n])],l=[a.max([l[0],r.start]),a.min([l[1],r.end])]):l=[r.start,r.end];const _=o.bbox.v_range;let c;return\"height\"==s||\"both\"==s?(c=[a.min([e,i]),a.max([e,i])],c=[a.max([c[0],_.start]),a.min([c[1],_.end])]):c=[_.start,_.end],[l,c]}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=_,_.__name__=\"Tool\",_.init_Tool()},\n", - " function _(e,o,t,s,n){s();const u=e(238),_=e(246);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,i,s){i();const n=t(1),l=n.__importDefault(t(239)),r=t(240),a=t(236),u=t(43),h=t(34),_=t(8),c=t(9),d=n.__importStar(t(241)),m=d,p=n.__importDefault(t(242)),g=n.__importDefault(t(243)),v=t(244);class f extends r.DOMView{initialize(){super.initialize();const t=this.model.menu;if(null!=t){const e=this.parent.model.toolbar_location,o=\"left\"==e||\"above\"==e,i=this.parent.model.horizontal?\"vertical\":\"horizontal\";this._menu=new v.ContextMenu(o?c.reversed(t):t,{orientation:i,prevent_hide:t=>t.target==this.el})}this._hammer=new l.default(this.el,{touchAction:\"auto\",inputClass:l.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()))}remove(){var t;this._hammer.destroy(),null===(t=this._menu)||void 0===t||t.remove(),super.remove()}styles(){return[...super.styles(),d.default,p.default,g.default]}css_classes(){return super.css_classes().concat(m.toolbar_button)}render(){u.empty(this.el);const t=this.model.computed_icon;_.isString(t)&&(h.startsWith(t,\"data:image\")?this.el.style.backgroundImage=\"url('\"+t+\"')\":this.el.classList.add(t)),this.el.title=this.model.tooltip,null!=this._menu&&this.root.el.appendChild(this._menu.el)}_pressed(){var t;const{left:e,top:o,right:i,bottom:s}=this.el.getBoundingClientRect(),n=(()=>{switch(this.parent.model.toolbar_location){case\"right\":return{right:e,top:o};case\"left\":return{left:i,top:o};case\"above\":return{left:e,top:s};case\"below\":return{left:e,bottom:o}}})();null===(t=this._menu)||void 0===t||t.toggle(n)}}o.ButtonToolButtonView=f,f.__name__=\"ButtonToolButtonView\";class b extends a.ToolView{}o.ButtonToolView=b,b.__name__=\"ButtonToolView\";class B extends a.Tool{constructor(t){super(t)}static init_ButtonTool(){this.internal((({Boolean:t})=>({disabled:[t,!1]})))}_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=B,B.__name__=\"ButtonTool\",B.init_ButtonTool()},\n", - " function _(t,e,i,n,r){\n", - " /*! Hammer.JS - v2.0.7 - 2016-04-22\n", - " * http://hammerjs.github.io/\n", - " *\n", - " * Copyright (c) 2016 Jorik Tangelder;\n", - " * Licensed under the MIT license */\n", - " !function(t,i,n,r){\"use strict\";var s,o=[\"\",\"webkit\",\"Moz\",\"MS\",\"ms\",\"o\"],a=i.createElement(\"div\"),h=Math.round,u=Math.abs,c=Date.now;function l(t,e,i){return setTimeout(T(t,i),e)}function p(t,e,i){return!!Array.isArray(t)&&(f(t,i[e],i),!0)}function f(t,e,i){var n;if(t)if(t.forEach)t.forEach(e,i);else if(t.length!==r)for(n=0;n\\s*\\(/gm,\"{anonymous}()@\"):\"Unknown Stack Trace\",s=t.console&&(t.console.warn||t.console.log);return s&&s.call(t.console,r,n),e.apply(this,arguments)}}s=\"function\"!=typeof Object.assign?function(t){if(t===r||null===t)throw new TypeError(\"Cannot convert undefined or null to object\");for(var e=Object(t),i=1;i-1}function S(t){return t.trim().split(/\\s+/g)}function b(t,e,i){if(t.indexOf&&!i)return t.indexOf(e);for(var n=0;ni[e]})):n.sort()),n}function x(t,e){for(var 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.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,s){n();const o=t(1),l=t(43),h=t(245),d=o.__importStar(t(243));class r{constructor(t,e={}){this.items=t,this.options=e,this.el=l.div(),this._open=!1,this._item_click=t=>{var e;null===(e=this.items[t])||void 0===e||e.handler(),this.hide()},this._on_mousedown=t=>{var e,i;const{target:n}=t;n instanceof Node&&this.el.contains(n)||(null===(i=(e=this.options).prevent_hide)||void 0===i?void 0:i.call(e,t))||this.hide()},this._on_keydown=t=>{t.keyCode==l.Keys.Esc&&this.hide()},this._on_blur=()=>{this.hide()},l.undisplay(this.el)}get is_open(){return this._open}get can_open(){return 0!=this.items.length}remove(){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=e.getBoundingClientRect();this.el.style.left=null!=t.left?t.left-i.left+\"px\":\"\",this.el.style.top=null!=t.top?t.top-i.top+\"px\":\"\",this.el.style.right=null!=t.right?i.right-t.right+\"px\":\"\",this.el.style.bottom=null!=t.bottom?i.bottom-t.bottom+\"px\":\"\"}}render(){var t,e;l.empty(this.el,!0);const i=null!==(t=this.options.orientation)&&void 0!==t?t:\"vertical\";l.classes(this.el).add(\"bk-context-menu\",`bk-${i}`);for(const[t,i]of h.enumerate(this.items)){let n;if(null==t)n=l.div({class:d.divider});else{if(null!=t.if&&!t.if())continue;{const i=null!=t.icon?l.div({class:[\"bk-menu-icon\",t.icon]}):null;n=l.div({class:(null===(e=t.active)||void 0===e?void 0:e.call(t))?\"bk-active\":null,title:t.tooltip},i,t.label)}}n.addEventListener(\"click\",(()=>this._item_click(i))),this.el.appendChild(n)}}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}),l.display(this.el),this._listen(),this._open=!0}}hide(){this._open&&(this._open=!1,this._unlisten(),l.undisplay(this.el))}toggle(t){this._open?this.hide():this.show(t)}}i.ContextMenu=r,r.__name__=\"ContextMenu\"},\n", - " function _(n,e,o,t,r){t();const f=n(9);function*i(n,e){const o=n.length;if(e>o)return;const t=f.range(e);for(yield t.map((e=>n[e]));;){let r;for(const n of f.reversed(f.range(e)))if(t[n]!=n+o-e){r=n;break}if(null==r)return;t[r]+=1;for(const n of f.range(r+1,e))t[n]=t[n-1]+1;yield t.map((e=>n[e]))}}o.enumerate=function*(n){let e=0;for(const o of n)yield[o,e++]},o.combinations=i,o.subsets=function*(n){for(const e of f.range(n.length+1))yield*i(n,e)}},\n", - " function _(t,e,i,n,o){n();const s=t(1),c=t(238),l=s.__importStar(t(241)),a=t(43);class _ extends c.ButtonToolButtonView{render(){super.render(),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 _(t,e,o,n,s){n();const i=t(238),c=t(246);class l extends i.ButtonToolView{}o.InspectToolView=l,l.__name__=\"InspectToolView\";class _ extends i.ButtonTool{constructor(t){super(t),this.event_type=\"move\"}static init_InspectTool(){this.prototype.button_view=c.OnOffButtonView,this.define((({Boolean:t})=>({toggleable:[t,!0]}))),this.override({active:!0})}}o.InspectTool=_,_.__name__=\"InspectTool\",_.init_InspectTool()},\n", - " function _(t,o,e,i,s){i();const l=t(1),n=t(19),a=t(43),r=t(122),c=t(240),_=t(20),u=t(9),h=t(13),v=t(8),p=t(249),d=t(99),b=t(53),g=t(236),f=t(237),m=t(251),w=t(252),y=t(247),T=l.__importStar(t(241)),z=T,B=l.__importStar(t(253)),x=B;class L extends b.Model{constructor(t){super(t)}static init_ToolbarViewModel(){this.define((({Boolean:t,Nullable:o})=>({_visible:[o(t),null],autohide:[t,!1]})))}get visible(){return!this.autohide||null!=this._visible&&this._visible}}e.ToolbarViewModel=L,L.__name__=\"ToolbarViewModel\",L.init_ToolbarViewModel();class M extends c.DOMView{constructor(){super(...arguments),this.layout={bbox:new d.BBox}}initialize(){super.initialize(),this._tool_button_views=new Map,this._toolbar_view_model=new L({autohide:this.model.autohide})}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(),T.default,B.default]}remove(){r.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 r.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 t=this._toolbar_view_model.visible,o=z.toolbar_hidden;this.el.classList.contains(o)&&t?this.el.classList.remove(o):t||this.el.classList.add(o)}render(){if(a.empty(this.el),this.el.classList.add(z.toolbar),this.el.classList.add(z[this.model.toolbar_location]),this._toolbar_view_model.autohide=this.model.autohide,this._on_visible_change(),null!=this.model.logo){const t=\"grey\"===this.model.logo?x.grey:null,o=a.a({href:\"https://bokeh.org/\",target:\"_blank\",class:[x.logo,x.logo_small,t]});this.el.appendChild(o)}for(const[,t]of this._tool_button_views)t.render();const t=[],o=t=>this._tool_button_views.get(t).el,{gestures:e}=this.model;for(const i of h.values(e))t.push(i.tools.map(o));t.push(this.model.actions.map(o)),t.push(this.model.inspectors.filter((t=>t.toggleable)).map(o));for(const o of t)if(0!==o.length){const t=a.div({class:z.button_bar},o);this.el.appendChild(t)}}update_layout(){}update_position(){}after_layout(){this._has_finished=!0}export(t,o=!0){const e=\"png\"==t?\"canvas\":\"svg\",i=new p.CanvasLayer(e,o);return i.resize(0,0),i}}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=M,M.__name__=\"ToolbarBaseView\";class S extends b.Model{constructor(t){super(t)}static init_ToolbarBase(){this.prototype.default_view=M,this.define((({Boolean:t,Array:o,Ref:e,Nullable:i})=>({tools:[o(e(g.Tool)),[]],logo:[i(_.Logo),\"normal\"],autohide:[t,!1]}))),this.internal((({Array:t,Struct:o,Ref:e,Nullable:i})=>{const s=o({tools:t(e(f.GestureTool)),active:i(e(g.Tool))});return{gestures:[o({pan:s,scroll:s,pinch:s,tap:s,doubletap:s,press:s,pressup:s,rotate:s,move:s,multi:s}),V],actions:[t(e(m.ActionTool)),[]],inspectors:[t(e(y.InspectTool)),[]],help:[t(e(w.HelpTool)),[]],toolbar_location:[_.Location,\"right\"]}}))}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 u.some(t,(t=>!e.has(t.id)))},o=this.tools.filter((t=>t instanceof y.InspectTool));t(this.inspectors,o)&&(this.inspectors=o);const e=this.tools.filter((t=>t instanceof w.HelpTool));t(this.help,e)&&(this.help=e);const i=this.tools.filter((t=>t instanceof m.ActionTool));t(this.actions,i)&&(this.actions=i);const s=(t,o)=>{t in this.gestures||n.logger.warn(`Toolbar: unknown event type '${t}' for tool: ${o}`)},l={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 f.GestureTool&&t.event_type)if(v.isString(t.event_type))l[t.event_type].tools.push(t),s(t.event_type,t);else{l.multi.tools.push(t);for(const o of t.event_type)s(o,t)}for(const o of Object.keys(l)){const e=this.gestures[o];t(e.tools,l[o].tools)&&(e.tools=l[o].tools),e.active&&u.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=v.isString(o)?[o]:o;for(const o of e)if(t.active){const e=this.gestures[o].active;null!=e&&t!=e&&(n.logger.debug(`Toolbar: deactivating tool: ${e} for event type '${o}'`),e.active=!1),this.gestures[o].active=t,n.logger.debug(`Toolbar: activating tool: ${t} for event type '${o}'`)}else this.gestures[o].active=null}}e.ToolbarBase=S,S.__name__=\"ToolbarBase\",S.init_ToolbarBase()},\n", - " function _(e,t,i,n,s){n();const o=e(250),a=e(99),r=e(43);function h(e){!function(e){void 0===e.lineDash&&Object.defineProperty(e,\"lineDash\",{get:()=>e.getLineDash(),set:t=>e.setLineDash(t)})}(e),function(e){e.setImageSmoothingEnabled=t=>{e.imageSmoothingEnabled=t,e.mozImageSmoothingEnabled=t,e.oImageSmoothingEnabled=t,e.webkitImageSmoothingEnabled=t,e.msImageSmoothingEnabled=t},e.getImageSmoothingEnabled=()=>{const t=e.imageSmoothingEnabled;return null==t||t}}(e),function(e){e.ellipse||(e.ellipse=function(t,i,n,s,o,a,r,h=!1){const l=.551784;e.translate(t,i),e.rotate(o);let c=n,g=s;h&&(c=-n,g=-s),e.moveTo(-c,0),e.bezierCurveTo(-c,g*l,-c*l,g,0,g),e.bezierCurveTo(c*l,g,c,g*l,c,0),e.bezierCurveTo(c,-g*l,c*l,-g,0,-g),e.bezierCurveTo(-c*l,-g,-c,-g*l,-c,0),e.rotate(-o),e.translate(-t,-i)})}(e)}const l={position:\"absolute\",top:\"0\",left:\"0\",width:\"100%\",height:\"100%\"};class c{constructor(e,t){switch(this.backend=e,this.hidpi=t,this.pixel_ratio=1,this.bbox=new a.BBox,e){case\"webgl\":case\"canvas\":{this._el=this._canvas=r.canvas({style:l});const e=this.canvas.getContext(\"2d\");if(null==e)throw new Error(\"unable to obtain 2D rendering context\");this._ctx=e,t&&(this.pixel_ratio=devicePixelRatio);break}case\"svg\":{const e=new o.SVGRenderingContext2D;this._ctx=e,this._canvas=e.get_svg(),this._el=r.div({style:l},this._canvas);break}}h(this._ctx)}get canvas(){return this._canvas}get ctx(){return this._ctx}get el(){return this._el}resize(e,t){this.bbox=new a.BBox({left:0,top:0,width:e,height:t});const i=this._ctx instanceof o.SVGRenderingContext2D?this._ctx:this.canvas;i.width=e*this.pixel_ratio,i.height=t*this.pixel_ratio}prepare(){const{ctx:e,hidpi:t,pixel_ratio:i}=this;e.save(),t&&(e.scale(i,i),e.translate(.5,.5)),this.clear()}clear(){const{x:e,y:t,width:i,height:n}=this.bbox;this.ctx.clearRect(e,t,i,n)}finish(){this.ctx.restore()}to_blob(){const{_canvas:e}=this;if(e instanceof HTMLCanvasElement)return null!=e.msToBlob?Promise.resolve(e.msToBlob()):new Promise(((t,i)=>{e.toBlob((e=>null!=e?t(e):i()),\"image/png\")}));{const e=this._ctx.get_serialized_svg(!0),t=new Blob([e],{type:\"image/svg+xml\"});return Promise.resolve(t)}}}i.CanvasLayer=c,c.__name__=\"CanvasLayer\"},\n", - " function _(t,e,i,s,n){s();const r=t(168),a=t(8),o=t(43);function l(t){if(!t)throw new Error(\"cannot create a random attribute name for an undefined object\");const e=\"ABCDEFGHIJKLMNOPQRSTUVWXTZabcdefghiklmnopqrstuvwxyz\";let i=\"\";do{i=\"\";for(let t=0;t<12;t++)i+=e[Math.floor(Math.random()*e.length)]}while(t[i]);return i}function h(t){var e;const i={left:\"start\",right:\"end\",center:\"middle\",start:\"start\",end:\"end\"};return null!==(e=i[t])&&void 0!==e?e:i.start}function c(t){var e;const i={alphabetic:\"alphabetic\",hanging:\"hanging\",top:\"text-before-edge\",bottom:\"text-after-edge\",middle:\"central\"};return null!==(e=i[t])&&void 0!==e?e:i.alphabetic}const _=function(t,e){const i=new Map,s=t.split(\",\");e=null!=e?e:10;for(let t=0;t=0?Math.acos(e):-Math.acos(e)}const w=v(f),b=v(g);this.lineTo(d+f[0]*n,m+f[1]*n),this.arc(d,m,n,w,b)}stroke(){\"path\"===this.__currentElement.nodeName&&this.__currentElement.setAttribute(\"paint-order\",\"fill\"),this.__applyCurrentDefaultPath(),this.__applyStyleToCurrentElement(\"stroke\"),null!=this._clip_path&&this.__currentElement.setAttribute(\"clip-path\",this._clip_path)}fill(t){if(\"path\"===this.__currentElement.nodeName&&this.__currentElement.setAttribute(\"paint-order\",\"stroke\"),\"none\"!=this.__currentElement.getAttribute(\"fill\")){const t=this.__currentElement.cloneNode(!0);this.__root.appendChild(t),this.__currentElement=t}this.__applyCurrentDefaultPath(),this.__applyStyleToCurrentElement(\"fill\"),null!=t&&this.__currentElement.setAttribute(\"fill-rule\",t),null!=this._clip_path&&this.__currentElement.setAttribute(\"clip-path\",this._clip_path)}rect(t,e,i,s){isFinite(t+e+i+s)&&(\"path\"!==this.__currentElement.nodeName&&this.beginPath(),this.moveTo(t,e),this.lineTo(t+i,e),this.lineTo(t+i,e+s),this.lineTo(t,e+s),this.lineTo(t,e))}fillRect(t,e,i,s){isFinite(t+e+i+s)&&(this.beginPath(),this.rect(t,e,i,s),this.fill())}strokeRect(t,e,i,s){isFinite(t+e+i+s)&&(this.beginPath(),this.rect(t,e,i,s),this.stroke())}__clearCanvas(){o.empty(this.__defs),o.empty(this.__root),this.__root.appendChild(this.__defs),this.__currentElement=this.__root}clearRect(t,e,i,s){if(!isFinite(t+e+i+s))return;if(0===t&&0===e&&i===this.width&&s===this.height)return void this.__clearCanvas();const n=this.__createElement(\"rect\",{x:t,y:e,width:i,height:s,fill:\"#FFFFFF\"},!0);this._apply_transform(n),this.__root.appendChild(n)}createLinearGradient(t,e,i,s){if(!isFinite(t+e+i+s))throw new Error(\"The provided double value is non-finite\");const[n,r]=this._transform.apply(t,e),[a,o]=this._transform.apply(i,s),h=this.__createElement(\"linearGradient\",{id:l(this.__ids),x1:`${n}px`,x2:`${a}px`,y1:`${r}px`,y2:`${o}px`,gradientUnits:\"userSpaceOnUse\"},!1);return this.__defs.appendChild(h),new p(h,this)}createRadialGradient(t,e,i,s,n,r){if(!isFinite(t+e+i+s+n+r))throw new Error(\"The provided double value is non-finite\");const[a,o]=this._transform.apply(t,e),[h,c]=this._transform.apply(s,n),_=this.__createElement(\"radialGradient\",{id:l(this.__ids),cx:`${h}px`,cy:`${c}px`,r:`${r}px`,fx:`${a}px`,fy:`${o}px`,gradientUnits:\"userSpaceOnUse\"},!1);return this.__defs.appendChild(_),new p(_,this)}__parseFont(){var t,e,i,s,n;const 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n=this.__parseFont(),r=this.__createElement(\"text\",{\"font-family\":n.family,\"font-size\":n.size,\"font-style\":n.style,\"font-weight\":n.weight,\"text-decoration\":n.decoration,x:e,y:i,\"text-anchor\":h(this.textAlign),\"dominant-baseline\":c(this.textBaseline)},!0);r.appendChild(this.__document.createTextNode(t)),this._apply_transform(r),this.__currentElement=r,this.__applyStyleToCurrentElement(s),this.__root.appendChild(this.__wrapTextLink(n,r))}fillText(t,e,i){null!=t&&isFinite(e+i)&&this.__applyText(t,e,i,\"fill\")}strokeText(t,e,i){null!=t&&isFinite(e+i)&&this.__applyText(t,e,i,\"stroke\")}measureText(t){return this.__ctx.font=this.font,this.__ctx.measureText(t)}arc(t,e,i,s,n,r=!1){if(!isFinite(t+e+i+s+n))return;if(s===n)return;(s%=2*Math.PI)===(n%=2*Math.PI)&&(n=(n+2*Math.PI-.001*(r?-1:1))%(2*Math.PI));const a=t+i*Math.cos(n),o=e+i*Math.sin(n),l=t+i*Math.cos(s),h=e+i*Math.sin(s),c=r?0:1;let _=0,u=n-s;u<0&&(u+=2*Math.PI),_=r?u>Math.PI?0:1:u>Math.PI?1:0,this.lineTo(l,h);const p=i,d=i,[m,f]=this._transform.apply(a,o);this.__addPathCommand(m,f,`A ${p} ${d} 0 ${_} ${c} ${m} ${f}`)}clip(){const t=this.__createElement(\"clipPath\"),e=l(this.__ids);this.__applyCurrentDefaultPath(),t.setAttribute(\"id\",e),t.appendChild(this.__currentElement),this.__defs.appendChild(t),this._clip_path=`url(#${e})`}drawImage(t,...e){let i,s,n,r,a,o,l,h;if(2==e.length){if([i,s]=e,!isFinite(i+s))return;a=0,o=0,l=t.width,h=t.height,n=l,r=h}else if(4==e.length){if([i,s,n,r]=e,!isFinite(i+s+n+r))return;a=0,o=0,l=t.width,h=t.height}else{if(8!==e.length)throw new Error(`Inavlid number of arguments passed to drawImage: ${arguments.length}`);if([a,o,l,h,i,s,n,r]=e,!isFinite(a+o+l+h+i+s+n+r))return}const c=this.__root,_=this._transform.clone().translate(i,s);if(t instanceof m||t instanceof SVGSVGElement){const e=(t instanceof SVGSVGElement?t:t.get_svg()).cloneNode(!0);let i;_.is_identity?i=c:(i=this.__createElement(\"g\"),this._apply_transform(i,_),c.appendChild(i));for(const t of[...e.childNodes])if(t instanceof SVGDefsElement){for(const e of[...t.childNodes])if(e instanceof Element){const t=e.getAttribute(\"id\");this.__ids[t]=t,this.__defs.appendChild(e)}}else i.appendChild(t)}else if(t instanceof HTMLImageElement||t instanceof SVGImageElement){const e=this.__createElement(\"image\");if(e.setAttribute(\"width\",`${n}`),e.setAttribute(\"height\",`${r}`),e.setAttribute(\"preserveAspectRatio\",\"none\"),a||o||l!==t.width||h!==t.height){const e=this.__document.createElement(\"canvas\");e.width=n,e.height=r;e.getContext(\"2d\").drawImage(t,a,o,l,h,0,0,n,r),t=e}this._apply_transform(e,_);const i=t instanceof HTMLCanvasElement?t.toDataURL():t.getAttribute(\"src\");e.setAttributeNS(\"http://www.w3.org/1999/xlink\",\"xlink:href\",i),c.appendChild(e)}else if(t instanceof HTMLCanvasElement){const e=this.__createElement(\"image\");e.setAttribute(\"width\",`${n}`),e.setAttribute(\"height\",`${r}`),e.setAttribute(\"preserveAspectRatio\",\"none\");const i=this.__document.createElement(\"canvas\");i.width=n,i.height=r;const s=i.getContext(\"2d\");s.imageSmoothingEnabled=!1,s.drawImage(t,a,o,l,h,0,0,n,r),t=i,this._apply_transform(e,_),e.setAttributeNS(\"http://www.w3.org/1999/xlink\",\"xlink:href\",t.toDataURL()),c.appendChild(e)}}createPattern(t,e){const i=this.__document.createElementNS(\"http://www.w3.org/2000/svg\",\"pattern\"),s=l(this.__ids);if(i.setAttribute(\"id\",s),i.setAttribute(\"width\",`${this._to_number(t.width)}`),i.setAttribute(\"height\",`${this._to_number(t.height)}`),i.setAttribute(\"patternUnits\",\"userSpaceOnUse\"),t instanceof HTMLCanvasElement||t instanceof HTMLImageElement||t instanceof SVGImageElement){const e=this.__document.createElementNS(\"http://www.w3.org/2000/svg\",\"image\"),s=t instanceof HTMLCanvasElement?t.toDataURL():t.getAttribute(\"src\");e.setAttributeNS(\"http://www.w3.org/1999/xlink\",\"xlink:href\",s),i.appendChild(e),this.__defs.appendChild(i)}else if(t instanceof m){for(const e of[...t.__root.childNodes])e instanceof SVGDefsElement||i.appendChild(e);this.__defs.appendChild(i)}else{if(!(t instanceof SVGSVGElement))throw new Error(\"unsupported\");for(const e of[...t.childNodes])e instanceof SVGDefsElement||i.appendChild(e);this.__defs.appendChild(i)}return new d(i,this)}setLineDash(t){t&&t.length>0?this.lineDash=t.join(\",\"):this.lineDash=null}_to_number(t){return a.isNumber(t)?t:t.baseVal.value}}i.SVGRenderingContext2D=m,m.__name__=\"SVGRenderingContext2D\"},\n", - " function _(o,t,n,i,e){i();const s=o(238),c=o(15);class l extends s.ButtonToolButtonView{_clicked(){this.model.do.emit(void 0)}}n.ActionToolButtonView=l,l.__name__=\"ActionToolButtonView\";class _ extends s.ButtonToolView{connect_signals(){super.connect_signals(),this.connect(this.model.do,(o=>this.doit(o)))}}n.ActionToolView=_,_.__name__=\"ActionToolView\";class d extends s.ButtonTool{constructor(o){super(o),this.button_view=l,this.do=new c.Signal(this,\"do\")}}n.ActionTool=d,d.__name__=\"ActionTool\"},\n", - " function _(o,e,t,i,l){i();const s=o(251),n=o(242);class r extends s.ActionToolView{doit(){window.open(this.model.redirect)}}t.HelpToolView=r,r.__name__=\"HelpToolView\";class c extends s.ActionTool{constructor(o){super(o),this.tool_name=\"Help\",this.icon=n.tool_icon_help}static init_HelpTool(){this.prototype.default_view=r,this.define((({String:o})=>({redirect:[o,\"https://docs.bokeh.org/en/latest/docs/user_guide/tools.html\"]}))),this.override({description:\"Click the question mark to learn more about Bokeh plot tools.\"}),this.register_alias(\"help\",(()=>new c))}}t.HelpTool=c,c.__name__=\"HelpTool\",c.init_HelpTool()},\n", - " function _(o,l,g,A,r){A(),g.root=\"bk-root\",g.logo=\"bk-logo\",g.grey=\"bk-grey\",g.logo_small=\"bk-logo-small\",g.logo_notebook=\"bk-logo-notebook\",g.default=\".bk-root .bk-logo{margin:5px;position:relative;display:block;background-repeat:no-repeat;}.bk-root .bk-logo.bk-grey{filter:url(\\\"data:image/svg+xml;utf8,#grayscale\\\");filter:gray;-webkit-filter:grayscale(100%);}.bk-root .bk-logo-small{width:20px;height:20px;background-image:url(data:image/png;base64,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);}.bk-root .bk-logo-notebook{display:inline-block;vertical-align:middle;margin-right:5px;}\"},\n", - " function _(t,e,i,s,l){s();const o=t(1),n=t(40),h=t(20),a=t(43),r=o.__importStar(t(255)),c=r;class d extends n.AnnotationView{initialize(){super.initialize(),this.el=a.div({class:c.tooltip}),a.undisplay(this.el),this.plot_view.canvas_view.add_overlay(this.el)}remove(){a.remove(this.el),super.remove()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.content.change,(()=>this.render())),this.connect(this.model.properties.position.change,(()=>this._reposition()))}styles(){return[...super.styles(),r.default]}render(){this.model.visible||a.undisplay(this.el),super.render()}_render(){const{content:t}=this.model;null!=t?(a.empty(this.el),a.classes(this.el).toggle(\"bk-tooltip-custom\",this.model.custom),this.el.appendChild(t),this.model.show_arrow&&this.el.classList.add(c.tooltip_arrow)):a.undisplay(this.el)}_reposition(){const{position:t}=this.model;if(null==t)return void a.undisplay(this.el);const[e,i]=t,s=(()=>{const t=this.parent.layout.bbox.relative(),{attachment:s}=this.model;switch(s){case\"horizontal\":return e({attachment:[h.TooltipAttachment,\"horizontal\"],inner_only:[t,!0],show_arrow:[t,!0]}))),this.internal((({Boolean:t,Number:e,Tuple:i,Ref:s,Nullable:l})=>({position:[l(i(e,e)),null],content:[s(HTMLElement),()=>a.div()],custom:[t]}))),this.override({level:\"overlay\"})}clear(){this.position=null}}i.Tooltip=p,p.__name__=\"Tooltip\",p.init_Tooltip()},\n", - " function _(o,t,r,e,l){e(),r.root=\"bk-root\",r.tooltip=\"bk-tooltip\",r.left=\"bk-left\",r.tooltip_arrow=\"bk-tooltip-arrow\",r.right=\"bk-right\",r.above=\"bk-above\",r.below=\"bk-below\",r.tooltip_row_label=\"bk-tooltip-row-label\",r.tooltip_row_value=\"bk-tooltip-row-value\",r.tooltip_color_block=\"bk-tooltip-color-block\",r.default='.bk-root{}.bk-root .bk-tooltip{font-weight:300;font-size:12px;position:absolute;padding:5px;border:1px solid #e5e5e5;color:#2f2f2f;background-color:white;pointer-events:none;opacity:0.95;z-index:100;}.bk-root .bk-tooltip > div:not(:first-child){margin-top:5px;border-top:#e5e5e5 1px dashed;}.bk-root .bk-tooltip.bk-left.bk-tooltip-arrow::before{position:absolute;margin:-7px 0 0 0;top:50%;width:0;height:0;border-style:solid;border-width:7px 0 7px 0;border-color:transparent;content:\" \";display:block;left:-10px;border-right-width:10px;border-right-color:#909599;}.bk-root .bk-tooltip.bk-left::before{left:-10px;border-right-width:10px;border-right-color:#909599;}.bk-root .bk-tooltip.bk-right.bk-tooltip-arrow::after{position:absolute;margin:-7px 0 0 0;top:50%;width:0;height:0;border-style:solid;border-width:7px 0 7px 0;border-color:transparent;content:\" \";display:block;right:-10px;border-left-width:10px;border-left-color:#909599;}.bk-root .bk-tooltip.bk-right::after{right:-10px;border-left-width:10px;border-left-color:#909599;}.bk-root .bk-tooltip.bk-above::before{position:absolute;margin:0 0 0 -7px;left:50%;width:0;height:0;border-style:solid;border-width:0 7px 0 7px;border-color:transparent;content:\" \";display:block;top:-10px;border-bottom-width:10px;border-bottom-color:#909599;}.bk-root .bk-tooltip.bk-below::after{position:absolute;margin:0 0 0 -7px;left:50%;width:0;height:0;border-style:solid;border-width:0 7px 0 7px;border-color:transparent;content:\" \";display:block;bottom:-10px;border-top-width:10px;border-top-color:#909599;}.bk-root .bk-tooltip-row-label{text-align:right;color:#26aae1;}.bk-root .bk-tooltip-row-value{color:default;}.bk-root .bk-tooltip-color-block{width:12px;height:12px;margin-left:5px;margin-right:5px;outline:#dddddd solid 1px;display:inline-block;}'},\n", - " function _(e,t,i,s,r){s();const a=e(135),h=e(133),_=e(122),l=e(48);class o extends a.UpperLowerView{async lazy_initialize(){await super.lazy_initialize();const{lower_head:e,upper_head:t}=this.model;null!=e&&(this.lower_head=await _.build_view(e,{parent:this})),null!=t&&(this.upper_head=await _.build_view(t,{parent:this}))}set_data(e){var t,i;super.set_data(e),null===(t=this.lower_head)||void 0===t||t.set_data(e),null===(i=this.upper_head)||void 0===i||i.set_data(e)}paint(e){if(this.visuals.line.doit)for(let t=0,i=this._lower_sx.length;t({lower_head:[t(e(h.ArrowHead)),()=>new h.TeeHead({size:10})],upper_head:[t(e(h.ArrowHead)),()=>new h.TeeHead({size:10})]}))),this.override({level:\"underlay\"})}}i.Whisker=n,n.__name__=\"Whisker\",n.init_Whisker()},\n", - " function _(n,o,t,u,e){u(),e(\"CustomJS\",n(258).CustomJS),e(\"OpenURL\",n(260).OpenURL)},\n", - " function _(t,s,e,n,c){n();const u=t(259),i=t(13),a=t(34);class r extends u.Callback{constructor(t){super(t)}static init_CustomJS(){this.define((({Unknown:t,String:s,Dict:e})=>({args:[e(t),{}],code:[s,\"\"]})))}get names(){return i.keys(this.args)}get values(){return i.values(this.args)}get func(){const t=a.use_strict(this.code);return new Function(...this.names,\"cb_obj\",\"cb_data\",t)}execute(t,s={}){return this.func.apply(t,this.values.concat(t,s))}}e.CustomJS=r,r.__name__=\"CustomJS\",r.init_CustomJS()},\n", - " function _(c,a,l,n,s){n();const e=c(53);class o extends e.Model{constructor(c){super(c)}}l.Callback=o,o.__name__=\"Callback\"},\n", - " function _(e,t,n,i,o){i();const s=e(259),c=e(182),r=e(8);class a extends s.Callback{constructor(e){super(e)}static init_OpenURL(){this.define((({Boolean:e,String:t})=>({url:[t,\"http://\"],same_tab:[e,!1]})))}navigate(e){this.same_tab?window.location.href=e:window.open(e)}execute(e,{source:t}){const n=e=>{const n=c.replace_placeholders(this.url,t,e,void 0,void 0,encodeURI);if(!r.isString(n))throw new Error(\"HTML output is not supported in this context\");this.navigate(n)},{selected:i}=t;for(const e of i.indices)n(e);for(const e of i.line_indices)n(e)}}n.OpenURL=a,a.__name__=\"OpenURL\",a.init_OpenURL()},\n", - " function _(a,n,e,r,s){r(),s(\"Canvas\",a(262).Canvas),s(\"CartesianFrame\",a(144).CartesianFrame)},\n", - " function _(e,t,s,i,a){i();const l=e(14),n=e(240),r=e(19),o=e(43),h=e(20),_=e(13),c=e(263),d=e(99),p=e(249),v=(()=>{const e=document.createElement(\"canvas\"),t=e.getContext(\"webgl\",{premultipliedAlpha:!0});return null!=t?{canvas:e,gl:t}:void r.logger.trace(\"WebGL is not supported\")})(),u={position:\"absolute\",top:\"0\",left:\"0\",width:\"100%\",height:\"100%\"};class b extends n.DOMView{constructor(){super(...arguments),this.bbox=new d.BBox}initialize(){super.initialize(),\"webgl\"==this.model.output_backend&&(this.webgl=v),this.underlays_el=o.div({style:u}),this.primary=this.create_layer(),this.overlays=this.create_layer(),this.overlays_el=o.div({style:u}),this.events_el=o.div({class:\"bk-canvas-events\",style:u});const e=[this.underlays_el,this.primary.el,this.overlays.el,this.overlays_el,this.events_el];_.extend(this.el.style,u),o.append(this.el,...e),this.ui_event_bus=new c.UIEventBus(this)}remove(){this.ui_event_bus.destroy(),super.remove()}add_underlay(e){this.underlays_el.appendChild(e)}add_overlay(e){this.overlays_el.appendChild(e)}add_event(e){this.events_el.appendChild(e)}get pixel_ratio(){return this.primary.pixel_ratio}resize(e,t){this.bbox=new d.BBox({left:0,top:0,width:e,height:t}),this.primary.resize(e,t),this.overlays.resize(e,t)}prepare_webgl(e){const{webgl:t}=this;if(null!=t){const{width:s,height:i}=this.bbox;t.canvas.width=this.pixel_ratio*s,t.canvas.height=this.pixel_ratio*i;const{gl:a}=t;a.enable(a.SCISSOR_TEST);const[l,n,r,o]=e,{xview:h,yview:_}=this.bbox,c=h.compute(l),d=_.compute(n+o),p=this.pixel_ratio;a.scissor(p*c,p*d,p*r,p*o),a.enable(a.BLEND),a.blendFuncSeparate(a.SRC_ALPHA,a.ONE_MINUS_SRC_ALPHA,a.ONE_MINUS_DST_ALPHA,a.ONE),this._clear_webgl()}}blit_webgl(e){const{webgl:t}=this;if(null!=t){if(r.logger.debug(\"Blitting WebGL canvas\"),e.restore(),e.drawImage(t.canvas,0,0),e.save(),this.model.hidpi){const 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{gl:t,canvas:s}=e;t.viewport(0,0,s.width,s.height),t.clearColor(0,0,0,0),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}}compose(){const e=this.create_layer(),{width:t,height:s}=this.bbox;return e.resize(t,s),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 p.CanvasLayer(e,t)}to_blob(){return this.compose().to_blob()}}s.CanvasView=b,b.__name__=\"CanvasView\";class g extends l.HasProps{constructor(e){super(e)}static init_Canvas(){this.prototype.default_view=b,this.internal((({Boolean:e})=>({hidpi:[e,!0],output_backend:[h.OutputBackend,\"canvas\"]})))}}s.Canvas=g,g.__name__=\"Canvas\",g.init_Canvas()},\n", - " function _(t,e,s,n,i){n();const r=t(1),a=r.__importDefault(t(239)),_=t(15),h=t(19),o=t(43),l=r.__importStar(t(264)),c=t(265),p=t(9),u=t(8),v=t(27),d=t(244);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&&(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 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;const a=t.model.toolbar.gestures,_=e.name.split(\":\")[0],h=this._hit_test_renderers(t,s.sx,s.sy),o=this._hit_test_canvas(t,s.sx,s.sy);switch(_){case\"move\":{const n=a[_].active;null!=n&&this.trigger(e,s,n.id);const r=t.model.toolbar.inspectors.filter((t=>t.active));let l=\"default\";null!=h?(l=null!==(i=h.cursor(s.sx,s.sy))&&void 0!==i?i:l,p.is_empty(r)||(e=this.move_exit)):this._hit_test_frame(t,s.sx,s.sy)&&(p.is_empty(r)||(l=\"crosshair\")),this.set_cursor(l),t.set_toolbar_visibility(o),r.map((t=>this.trigger(e,s,t.id)));break}case\"tap\":{const{target:t}=n;if(null!=t&&t!=this.hit_area)return;null!=h&&null!=h.on_hit&&h.on_hit(s.sx,s.sy);const i=a[_].active;null!=i&&this.trigger(e,s,i.id);break}case\"doubletap\":{const t=null!==(r=a.doubletap.active)&&void 0!==r?r:a.tap.active;null!=t&&this.trigger(e,s,t.id);break}case\"scroll\":{const t=a[v.is_mobile?\"pinch\":\"scroll\"].active;null!=t&&(n.preventDefault(),n.stopPropagation(),this.trigger(e,s,t.id));break}case\"pan\":{const t=a[_].active;null!=t&&(n.preventDefault(),this.trigger(e,s,t.id));break}default:{const t=a[_].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}=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: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 c=e.length-1;c>=0;c--)(_=e[c])&&(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 c{to_json(){const{event_name:e}=this;return{event_name:e,event_values:this._to_json()}}}s.BokehEvent=c,c.__name__=\"BokehEvent\";class r extends c{constructor(){super(...arguments),this.origin=null}_to_json(){return{model:this.origin}}}s.ModelEvent=r,r.__name__=\"ModelEvent\";let l=class extends c{_to_json(){return{}}};s.DocumentReady=l,l.__name__=\"DocumentReady\",s.DocumentReady=l=a([o(\"document_ready\")],l);let i=class extends r{};s.ButtonClick=i,i.__name__=\"ButtonClick\",s.ButtonClick=i=a([o(\"button_click\")],i);let u=class extends r{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 r{}s.UIEvent=d,d.__name__=\"UIEvent\";let h=class extends d{};s.LODStart=h,h.__name__=\"LODStart\",s.LODStart=h=a([o(\"lodstart\")],h);let m=class extends d{};s.LODEnd=m,m.__name__=\"LODEnd\",s.LODEnd=m=a([o(\"lodend\")],m);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 p=class extends d{};s.Reset=p,p.__name__=\"Reset\",s.Reset=p=a([o(\"reset\")],p);class j 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=j,j.__name__=\"PointEvent\";let y=class extends j{constructor(e,t,s,n,_,a){super(e,t,s,n),this.sx=e,this.sy=t,this.x=s,this.y=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=y,y.__name__=\"Pan\",s.Pan=y=a([o(\"pan\")],y);let P=class extends j{constructor(e,t,s,n,_){super(e,t,s,n),this.sx=e,this.sy=t,this.x=s,this.y=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 v=class extends j{constructor(e,t,s,n,_){super(e,t,s,n),this.sx=e,this.sy=t,this.x=s,this.y=n,this.rotation=_}_to_json(){const{rotation:e}=this;return Object.assign(Object.assign({},super._to_json()),{rotation:e})}};s.Rotate=v,v.__name__=\"Rotate\",s.Rotate=v=a([o(\"rotate\")],v);let g=class extends j{constructor(e,t,s,n,_){super(e,t,s,n),this.sx=e,this.sy=t,this.x=s,this.y=n,this.delta=_}_to_json(){const{delta:e}=this;return Object.assign(Object.assign({},super._to_json()),{delta:e})}};s.MouseWheel=g,g.__name__=\"MouseWheel\",s.MouseWheel=g=a([o(\"wheel\")],g);let E=class extends j{};s.MouseMove=E,E.__name__=\"MouseMove\",s.MouseMove=E=a([o(\"mousemove\")],E);let O=class extends j{};s.MouseEnter=O,O.__name__=\"MouseEnter\",s.MouseEnter=O=a([o(\"mouseenter\")],O);let b=class extends j{};s.MouseLeave=b,b.__name__=\"MouseLeave\",s.MouseLeave=b=a([o(\"mouseleave\")],b);let M=class extends j{};s.Tap=M,M.__name__=\"Tap\",s.Tap=M=a([o(\"tap\")],M);let R=class extends j{};s.DoubleTap=R,R.__name__=\"DoubleTap\",s.DoubleTap=R=a([o(\"doubletap\")],R);let f=class extends j{};s.Press=f,f.__name__=\"Press\",s.Press=f=a([o(\"press\")],f);let S=class extends j{};s.PressUp=S,S.__name__=\"PressUp\",s.PressUp=S=a([o(\"pressup\")],S);let D=class extends j{};s.PanStart=D,D.__name__=\"PanStart\",s.PanStart=D=a([o(\"panstart\")],D);let k=class extends j{};s.PanEnd=k,k.__name__=\"PanEnd\",s.PanEnd=k=a([o(\"panend\")],k);let L=class extends j{};s.PinchStart=L,L.__name__=\"PinchStart\",s.PinchStart=L=a([o(\"pinchstart\")],L);let C=class extends j{};s.PinchEnd=C,C.__name__=\"PinchEnd\",s.PinchEnd=C=a([o(\"pinchend\")],C);let T=class extends j{};s.RotateStart=T,T.__name__=\"RotateStart\",s.RotateStart=T=a([o(\"rotatestart\")],T);let B=class extends j{};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", - " *\n", - " * Copyright jQuery Foundation and other contributors\n", - " * Released under the MIT license\n", - " * http://jquery.org/license\n", - " */\n", - " function u(t){const e=getComputedStyle(t).fontSize;return null!=e?parseInt(e,10):null}l(),n.getDeltaY=function(t){let e=-t.deltaY;if(t.target instanceof HTMLElement)switch(t.deltaMode){case t.DOM_DELTA_LINE:e*=(n=t.target,null!==(a=null!==(o=u(null!==(l=n.offsetParent)&&void 0!==l?l:document.body))&&void 0!==o?o:u(n))&&void 0!==a?a:16);break;case t.DOM_DELTA_PAGE:e*=function(t){return t.clientHeight}(t.target)}var n,l,o,a;return e}},\n", - " function _(m,i,u,s,a){s(),a(\"Expression\",m(124).Expression),a(\"CustomJSExpr\",m(267).CustomJSExpr),a(\"Stack\",m(268).Stack),a(\"CumSum\",m(269).CumSum),a(\"ScalarExpression\",m(124).ScalarExpression),a(\"Minimum\",m(270).Minimum),a(\"Maximum\",m(271).Maximum)},\n", - " function _(t,e,s,n,r){n();const i=t(14),o=t(124),a=t(24),c=t(9),u=t(13),l=t(34),h=t(8);class p extends o.Expression{constructor(t){super(t)}static init_CustomJSExpr(){this.define((({Unknown:t,String:e,Dict:s})=>({args:[s(t),{}],code:[e,\"\"]})))}connect_signals(){super.connect_signals();for(const t of u.values(this.args))t instanceof i.HasProps&&t.change.connect((()=>{this._result.clear(),this.change.emit()}))}get names(){return u.keys(this.args)}get values(){return u.values(this.args)}get func(){const t=l.use_strict(this.code);return new a.GeneratorFunction(...this.names,t)}_v_compute(t){const e=this.func.apply(t,this.values);let s=e.next();if(s.done&&void 0!==s.value){const{value:e}=s;return h.isArray(e)||h.isTypedArray(e)?e:h.isIterable(e)?[...e]:c.repeat(e,t.length)}{const t=[];do{t.push(s.value),s=e.next()}while(!s.done);return t}}}s.CustomJSExpr=p,p.__name__=\"CustomJSExpr\",p.init_CustomJSExpr()},\n", - " function _(t,n,e,i,s){i();const a=t(124);class c extends a.Expression{constructor(t){super(t)}static init_Stack(){this.define((({String:t,Array:n})=>({fields:[n(t),[]]})))}_v_compute(t){var n;const e=null!==(n=t.get_length())&&void 0!==n?n:0,i=new Float64Array(e);for(const n of this.fields){const s=t.data[n];if(null!=s)for(let t=0,n=Math.min(e,s.length);t({field:[t],include_zero:[e,!1]})))}_v_compute(e){var t;const n=new Float64Array(null!==(t=e.get_length())&&void 0!==t?t:0),i=e.data[this.field],u=this.include_zero?1:0;n[0]=this.include_zero?0:i[0];for(let e=1;e({field:[n],initial:[t(i),null]})))}_compute(i){var n,t;const l=null!==(n=i.data[this.field])&&void 0!==n?n:[];return Math.min(null!==(t=this.initial)&&void 0!==t?t:1/0,m.min(l))}}t.Minimum=s,s.__name__=\"Minimum\",s.init_Minimum()},\n", - " function _(i,t,a,n,l){n();const u=i(124),e=i(9);class m extends u.ScalarExpression{constructor(i){super(i)}static init_Maximum(){this.define((({Number:i,String:t,Nullable:a})=>({field:[t],initial:[a(i),null]})))}_compute(i){var t,a;const n=null!==(t=i.data[this.field])&&void 0!==t?t:[];return Math.max(null!==(a=this.initial)&&void 0!==a?a:-1/0,e.max(n))}}a.Maximum=m,m.__name__=\"Maximum\",m.init_Maximum()},\n", - " function _(e,t,l,r,i){r(),i(\"BooleanFilter\",e(273).BooleanFilter),i(\"CustomJSFilter\",e(274).CustomJSFilter),i(\"Filter\",e(121).Filter),i(\"GroupFilter\",e(275).GroupFilter),i(\"IndexFilter\",e(276).IndexFilter)},\n", - " function _(e,n,l,o,t){o();const i=e(121),s=e(24);class a extends i.Filter{constructor(e){super(e)}static init_BooleanFilter(){this.define((({Boolean:e,Array:n,Nullable:l})=>({booleans:[l(n(e)),null]})))}compute_indices(e){const n=e.length,{booleans:l}=this;return null==l?s.Indices.all_set(n):s.Indices.from_booleans(n,l)}}l.BooleanFilter=a,a.__name__=\"BooleanFilter\",a.init_BooleanFilter()},\n", - " function _(e,t,s,n,r){n();const i=e(121),o=e(24),u=e(13),c=e(8),a=e(34);class l extends i.Filter{constructor(e){super(e)}static init_CustomJSFilter(){this.define((({Unknown:e,String:t,Dict:s})=>({args:[s(e),{}],code:[t,\"\"]})))}get names(){return u.keys(this.args)}get values(){return u.values(this.args)}get func(){const e=a.use_strict(this.code);return new Function(...this.names,\"source\",e)}compute_indices(e){const t=e.length,s=this.func(...this.values,e);if(null==s)return o.Indices.all_set(t);if(c.isArrayOf(s,c.isInteger))return o.Indices.from_indices(t,s);if(c.isArrayOf(s,c.isBoolean))return o.Indices.from_booleans(t,s);throw new Error(`expect an array of integers or booleans, or null, got ${s}`)}}s.CustomJSFilter=l,l.__name__=\"CustomJSFilter\",l.init_CustomJSFilter()},\n", - " function _(n,t,e,i,o){i();const r=n(121),u=n(24),s=n(19);class c extends r.Filter{constructor(n){super(n)}static init_GroupFilter(){this.define((({String:n})=>({column_name:[n],group:[n]})))}compute_indices(n){const t=n.get_column(this.column_name);if(null==t)return s.logger.warn(`${this}: groupby column '${this.column_name}' not found in the data source`),new u.Indices(n.length,1);{const e=new u.Indices(n.length);for(let n=0;n({indices:[i(n(e)),null]})))}compute_indices(e){const n=e.length,{indices:i}=this;return null==i?c.Indices.all_set(n):c.Indices.from_indices(n,i)}}i.IndexFilter=r,r.__name__=\"IndexFilter\",r.init_IndexFilter()},\n", - " function _(e,a,l,i,t){i(),t(\"AnnularWedge\",e(278).AnnularWedge),t(\"Annulus\",e(279).Annulus),t(\"Arc\",e(280).Arc),t(\"Bezier\",e(281).Bezier),t(\"Circle\",e(282).Circle),t(\"Ellipse\",e(286).Ellipse),t(\"EllipseOval\",e(287).EllipseOval),t(\"Glyph\",e(98).Glyph),t(\"HArea\",e(117).HArea),t(\"HBar\",e(289).HBar),t(\"HexTile\",e(291).HexTile),t(\"Image\",e(292).Image),t(\"ImageRGBA\",e(294).ImageRGBA),t(\"ImageURL\",e(295).ImageURL),t(\"Line\",e(63).Line),t(\"MultiLine\",e(127).MultiLine),t(\"MultiPolygons\",e(297).MultiPolygons),t(\"Oval\",e(298).Oval),t(\"Patch\",e(116).Patch),t(\"Patches\",e(128).Patches),t(\"Quad\",e(299).Quad),t(\"Quadratic\",e(300).Quadratic),t(\"Ray\",e(301).Ray),t(\"Rect\",e(302).Rect),t(\"Scatter\",e(303).Scatter),t(\"Segment\",e(306).Segment),t(\"Spline\",e(307).Spline),t(\"Step\",e(309).Step),t(\"Text\",e(310).Text),t(\"VArea\",e(119).VArea),t(\"VBar\",e(311).VBar),t(\"Wedge\",e(312).Wedge)},\n", - " function _(e,t,s,i,r){i();const n=e(1),a=e(64),o=e(106),_=e(48),d=e(24),u=e(20),h=n.__importStar(e(18)),l=e(10),c=e(59);class g extends a.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=d.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=d.to_screen(this.outer_radius)}_render(e,t,s){const{sx:i,sy:r,start_angle:n,end_angle:a,sinner_radius:o,souter_radius:_}=null!=s?s:this,d=\"anticlock\"==this.model.direction;for(const s of t){const t=i[s],u=r[s],h=o[s],l=_[s],c=n.get(s),g=a.get(s);if(isNaN(t+u+h+l+c+g))continue;const x=g-c;e.translate(t,u),e.rotate(c),e.beginPath(),e.moveTo(l,0),e.arc(0,0,l,0,x,d),e.rotate(x),e.lineTo(h,0),e.arc(0,0,h,0,-x,!d),e.closePath(),e.rotate(-x-c),e.translate(-t,-u),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(e,s),e.fill()),this.visuals.hatch.doit&&(this.visuals.hatch.set_vectorize(e,s),e.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,s),e.stroke())}}_hit_point(e){const{sx:t,sy:s}=e,i=this.renderer.xscale.invert(t),r=this.renderer.yscale.invert(s);let n,a,o,_;if(\"data\"==this.model.properties.outer_radius.units)n=i-this.max_outer_radius,o=i+this.max_outer_radius,a=r-this.max_outer_radius,_=r+this.max_outer_radius;else{const e=t-this.max_outer_radius,i=t+this.max_outer_radius;[n,o]=this.renderer.xscale.r_invert(e,i);const r=s-this.max_outer_radius,d=s+this.max_outer_radius;[a,_]=this.renderer.yscale.r_invert(r,d)}const d=[];for(const e of this.index.indices({x0:n,x1:o,y0:a,y1:_})){const t=this.souter_radius[e]**2,s=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]),u=(n-a)**2+(o-_)**2;u<=t&&u>=s&&d.push(e)}const u=\"anticlock\"==this.model.direction,h=[];for(const e of d){const i=Math.atan2(s-this.sy[e],t-this.sx[e]);l.angle_between(-i,-this.start_angle.get(e),-this.end_angle.get(e),u)&&h.push(e)}return new c.Selection({indices:h})}draw_legend_for_index(e,t,s){o.generic_area_vector_legend(this.visuals,e,t,s)}scenterxy(e){const t=(this.sinner_radius[e]+this.souter_radius[e])/2,s=(this.start_angle.get(e)+this.end_angle.get(e))/2;return[this.sx[e]+t*Math.cos(s),this.sy[e]+t*Math.sin(s)]}}s.AnnularWedgeView=g,g.__name__=\"AnnularWedgeView\";class x extends a.XYGlyph{constructor(e){super(e)}static init_AnnularWedge(){this.prototype.default_view=g,this.mixins([_.LineVector,_.FillVector,_.HatchVector]),this.define((({})=>({direction:[u.Direction,\"anticlock\"],inner_radius:[h.DistanceSpec,{field:\"inner_radius\"}],outer_radius:[h.DistanceSpec,{field:\"outer_radius\"}],start_angle:[h.AngleSpec,{field:\"start_angle\"}],end_angle:[h.AngleSpec,{field:\"end_angle\"}]})))}}s.AnnularWedge=x,x.__name__=\"AnnularWedge\",x.init_AnnularWedge()},\n", - " function _(s,i,t,e,r){e();const n=s(1),a=s(64),u=s(24),_=s(48),o=n.__importStar(s(18)),h=s(27),d=s(59);class c extends a.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=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=u.to_screen(this.outer_radius)}_render(s,i,t){const{sx:e,sy:r,sinner_radius:n,souter_radius:a}=null!=t?t:this;for(const t of i){const i=e[t],_=r[t],o=n[t],d=a[t];function u(){if(s.beginPath(),h.is_ie)for(const t of[!1,!0])s.arc(i,_,o,0,Math.PI,t),s.arc(i,_,d,Math.PI,0,!t);else s.arc(i,_,o,0,2*Math.PI,!0),s.arc(i,_,d,2*Math.PI,0,!1)}isNaN(i+_+o+d)||(this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(s,t),u(),s.fill()),this.visuals.hatch.doit&&(this.visuals.hatch.set_vectorize(s,t),u(),s.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(s,t),s.beginPath(),s.arc(i,_,o,0,2*Math.PI),s.moveTo(i+d,_),s.arc(i,_,d,0,2*Math.PI),s.stroke()))}}_hit_point(s){const{sx:i,sy:t}=s,e=this.renderer.xscale.invert(i),r=this.renderer.yscale.invert(t);let n,a,u,_;if(\"data\"==this.model.properties.outer_radius.units)n=e-this.max_outer_radius,u=e+this.max_outer_radius,a=r-this.max_outer_radius,_=r+this.max_outer_radius;else{const s=i-this.max_outer_radius,e=i+this.max_outer_radius;[n,u]=this.renderer.xscale.r_invert(s,e);const r=t-this.max_outer_radius,o=t+this.max_outer_radius;[a,_]=this.renderer.yscale.r_invert(r,o)}const o=[];for(const s of this.index.indices({x0:n,x1:u,y0:a,y1:_})){const i=this.souter_radius[s]**2,t=this.sinner_radius[s]**2,[n,a]=this.renderer.xscale.r_compute(e,this._x[s]),[u,_]=this.renderer.yscale.r_compute(r,this._y[s]),h=(n-a)**2+(u-_)**2;h<=i&&h>=t&&o.push(s)}return new d.Selection({indices:o})}draw_legend_for_index(s,{x0:i,y0:t,x1:e,y1:r},n){const a=n+1,u=new Array(a);u[n]=(i+e)/2;const _=new Array(a);_[n]=(t+r)/2;const o=.5*Math.min(Math.abs(e-i),Math.abs(r-t)),h=new Array(a);h[n]=.4*o;const d=new Array(a);d[n]=.8*o,this._render(s,[n],{sx:u,sy:_,sinner_radius:h,souter_radius:d})}}t.AnnulusView=c,c.__name__=\"AnnulusView\";class l extends a.XYGlyph{constructor(s){super(s)}static init_Annulus(){this.prototype.default_view=c,this.mixins([_.LineVector,_.FillVector,_.HatchVector]),this.define((({})=>({inner_radius:[o.DistanceSpec,{field:\"inner_radius\"}],outer_radius:[o.DistanceSpec,{field:\"outer_radius\"}]})))}}t.Annulus=l,l.__name__=\"Annulus\",l.init_Annulus()},\n", - " function _(e,i,s,t,n){t();const r=e(1),a=e(64),c=e(106),d=e(48),_=e(24),l=e(20),o=r.__importStar(e(18));class h extends a.XYGlyphView{_map_data(){\"data\"==this.model.properties.radius.units?this.sradius=this.sdist(this.renderer.xscale,this._x,this.radius):this.sradius=_.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],_=n[s],l=r[s],o=a.get(s),h=c.get(s);isNaN(i+_+l+o+h)||(e.beginPath(),e.arc(i,_,l,o,h,d),this.visuals.line.set_vectorize(e,s),e.stroke())}}}draw_legend_for_index(e,i,s){c.generic_line_vector_legend(this.visuals,e,i,s)}}s.ArcView=h,h.__name__=\"ArcView\";class u extends a.XYGlyph{constructor(e){super(e)}static init_Arc(){this.prototype.default_view=h,this.mixins(d.LineVector),this.define((({})=>({direction:[l.Direction,\"anticlock\"],radius:[o.DistanceSpec,{field:\"radius\"}],start_angle:[o.AngleSpec,{field:\"start_angle\"}],end_angle:[o.AngleSpec,{field:\"end_angle\"}]})))}}s.Arc=u,u.__name__=\"Arc\",u.init_Arc()},\n", - " function _(e,t,i,s,n){s();const o=e(1),c=e(48),r=e(98),a=e(106),_=e(65),d=o.__importStar(e(18));function l(e,t,i,s,n,o,c,r){const a=[],_=[[],[]];for(let _=0;_<=2;_++){let d,l,x;if(0===_?(l=6*e-12*i+6*n,d=-3*e+9*i-9*n+3*c,x=3*i-3*e):(l=6*t-12*s+6*o,d=-3*t+9*s-9*o+3*r,x=3*s-3*t),Math.abs(d)<1e-12){if(Math.abs(l)<1e-12)continue;const e=-x/l;0({x0:[d.XCoordinateSpec,{field:\"x0\"}],y0:[d.YCoordinateSpec,{field:\"y0\"}],x1:[d.XCoordinateSpec,{field:\"x1\"}],y1:[d.YCoordinateSpec,{field:\"y1\"}],cx0:[d.XCoordinateSpec,{field:\"cx0\"}],cy0:[d.YCoordinateSpec,{field:\"cy0\"}],cx1:[d.XCoordinateSpec,{field:\"cx1\"}],cy1:[d.YCoordinateSpec,{field:\"cy1\"}]}))),this.mixins(c.LineVector)}}i.Bezier=h,h.__name__=\"Bezier\",h.init_Bezier()},\n", - " function _(s,i,e,t,r){t();const a=s(1),n=s(64),h=s(283),d=s(48),l=s(24),c=s(20),_=a.__importStar(s(107)),u=a.__importStar(s(18)),o=s(9),x=s(12),m=s(59);class y extends n.XYGlyphView{initialize(){super.initialize();const{webgl:s}=this.renderer.plot_view.canvas_view;null!=s&&(this.glglyph=new h.MarkerGL(s.gl,this,\"circle\"))}get use_radius(){return!(this.radius.is_Scalar()&&isNaN(this.radius.value))}_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=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=x.map(s,((s,e)=>Math.min(s,i[e])));break}}else this.sradius=l.to_screen(this.radius),this._configure(\"max_size\",{value:2*this.max_radius});else{const s=new l.ScreenArray(this.size);this.sradius=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];isNaN(i+n+h)||(s.beginPath(),s.arc(i,n,h,0,2*Math.PI,!1),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(s,e),s.fill()),this.visuals.hatch.doit&&(this.visuals.hatch.set_vectorize(s,e),s.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(s,e),s.stroke()))}}_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,c=e+this.max_size*a;[d,l]=this.renderer.yscale.r_invert(r,c)}const c=this.index.indices({x0:n,x1:h,y0:d,y1:l}),_=[];if(this.use_radius&&\"data\"==this.model.properties.radius.units)for(const s of c){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&&_.push(s)}else for(const s of c){const t=(this.sradius[s]*a)**2;(this.sx[s]-i)**2+(this.sy[s]-e)**2<=t&&_.push(s)}return new m.Selection({indices:_})}_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=o.range(0,this.sx.length),r=[];for(let s=0,a=t.length;s({angle:[u.AngleSpec,0],size:[u.ScreenDistanceSpec,{value:4}],radius:[u.NullDistanceSpec,null],radius_dimension:[c.RadiusDimension,\"x\"],hit_dilation:[s,1]})))}}e.Circle=p,p.__name__=\"Circle\",p.init_Circle()},\n", - " function _(t,e,s,i,a){i();const r=t(1),o=t(109),_=t(113),l=r.__importDefault(t(284)),h=r.__importDefault(t(285)),n=t(282),f=t(12),u=t(19),c=t(24),g=t(22),b=t(11);function d(t,e,s,i,a,r,o){if(a.doit)if(r.is_Scalar()&&o.is_Scalar()){e.used=!1;const[i,a,_,l]=g.color2rgba(r.value,o.value);t.set_attribute(s,\"vec4\",[i/255,a/255,_/255,l/255])}else{let a;if(e.used=!0,r.is_Vector()){const t=new c.ColorArray(r.array);if(a=new c.RGBAArray(t.buffer),!o.is_Scalar()||1!=o.value)for(let t=0;t2*t))),i.data_changed=!1),this.visuals_changed&&(this._set_visuals(a),this.visuals_changed=!1),this.prog.set_uniform(\"u_pixel_ratio\",\"float\",[s.pixel_ratio]),this.prog.set_uniform(\"u_canvas_size\",\"vec2\",[s.width,s.height]),this.prog.set_attribute(\"a_sx\",\"float\",i.vbo_sx),this.prog.set_attribute(\"a_sy\",\"float\",i.vbo_sy),this.prog.set_attribute(\"a_size\",\"float\",i.vbo_s),this.prog.set_attribute(\"a_angle\",\"float\",i.vbo_a),0!=t.length)if(t.length===a)this.prog.draw(this.gl.POINTS,[0,a]);else if(a<65535){const e=window.navigator.userAgent;e.indexOf(\"MSIE \")+e.indexOf(\"Trident/\")+e.indexOf(\"Edge/\")>0&&u.logger.warn(\"WebGL warning: IE is known to produce 1px sprites whith selections.\"),this.index_buffer.set_size(2*t.length),this.index_buffer.set_data(0,new Uint16Array(t)),this.prog.draw(this.gl.POINTS,this.index_buffer)}else{const e=64e3,s=[];for(let t=0,i=Math.ceil(a/e);t2*t))):this.vbo_s.set_data(0,new Float32Array(this.glyph.size))}_set_visuals(t){const{line:e,fill:s}=this.glyph.visuals;!function(t,e,s,i,a,r){if(a.doit){if(r.is_Scalar())e.used=!1,t.set_attribute(s,\"float\",[r.value]);else if(r.is_Vector()){e.used=!0;const a=new Float32Array(r.array);e.set_size(4*i),e.set_data(0,a),t.set_attribute(s,\"float\",e)}}else e.used=!1,t.set_attribute(s,\"float\",[0])}(this.prog,this.vbo_linewidth,\"a_linewidth\",t,e,e.line_width),d(this.prog,this.vbo_fg_color,\"a_fg_color\",t,e,e.line_color,e.line_alpha),d(this.prog,this.vbo_bg_color,\"a_bg_color\",t,s,s.fill_color,s.fill_alpha),this.prog.set_uniform(\"u_antialias\",\"float\",[.8])}}s.MarkerGL=p,p.__name__=\"MarkerGL\"},\n", - " function _(n,i,a,o,_){o();a.default=\"\\nprecision mediump float;\\nconst float SQRT_2 = 1.4142135623730951;\\n//\\nuniform float u_pixel_ratio;\\nuniform vec2 u_canvas_size;\\nuniform vec2 u_offset;\\nuniform vec2 u_scale;\\nuniform float u_antialias;\\n//\\nattribute float a_sx;\\nattribute float a_sy;\\nattribute float a_size;\\nattribute float a_angle; // in radians\\nattribute float a_linewidth;\\nattribute vec4 a_fg_color;\\nattribute vec4 a_bg_color;\\n//\\nvarying float v_linewidth;\\nvarying float v_size;\\nvarying vec4 v_fg_color;\\nvarying vec4 v_bg_color;\\nvarying vec2 v_rotation;\\n\\nvoid main (void)\\n{\\n v_size = a_size * u_pixel_ratio;\\n v_linewidth = a_linewidth * u_pixel_ratio;\\n v_fg_color = a_fg_color;\\n v_bg_color = a_bg_color;\\n v_rotation = vec2(cos(-a_angle), sin(-a_angle));\\n vec2 pos = vec2(a_sx, a_sy); // in pixels\\n pos += 0.5; // make up for Bokeh's offset\\n pos /= u_canvas_size / u_pixel_ratio; // in 0..1\\n gl_Position = vec4(pos*2.0-1.0, 0.0, 1.0);\\n gl_Position.y *= -1.0;\\n gl_PointSize = SQRT_2 * v_size + 2.0 * (v_linewidth + 1.5*u_antialias);\\n}\\n\"},\n", - " function _(n,a,s,e,t){e();s.default='\\nprecision mediump float;\\n\\nconst float SQRT_2 = 1.4142135623730951;\\nconst float PI = 3.14159265358979323846264;\\n\\nconst float IN_ANGLE = 0.6283185307179586; // PI/5. = 36 degrees (star of 5 pikes)\\n//const float OUT_ANGLE = PI/2. - IN_ANGLE; // External angle for regular stars\\nconst float COS_A = 0.8090169943749475; // cos(IN_ANGLE)\\nconst float SIN_A = 0.5877852522924731; // sin(IN_ANGLE)\\nconst float COS_B = 0.5877852522924731; // cos(OUT_ANGLE)\\nconst float SIN_B = 0.8090169943749475; // sin(OUT_ANGLE)\\n\\n//\\nuniform float u_antialias;\\n//\\nvarying vec4 v_fg_color;\\nvarying vec4 v_bg_color;\\nvarying float v_linewidth;\\nvarying float v_size;\\nvarying vec2 v_rotation;\\n\\n#ifdef USE_ASTERISK\\n// asterisk\\nfloat marker(vec2 P, float size)\\n{\\n // Masks\\n float diamond = max(abs(SQRT_2 / 2.0 * (P.x - P.y)), abs(SQRT_2 / 2.0 * (P.x + P.y))) - size / (2.0 * SQRT_2);\\n float square = max(abs(P.x), abs(P.y)) - size / (2.0 * SQRT_2);\\n // Shapes\\n float X = min(abs(P.x - P.y), abs(P.x + P.y)) - size / 100.0; // bit of \"width\" for aa\\n float cross = min(abs(P.x), abs(P.y)) - size / 100.0; // bit of \"width\" for aa\\n // Result is union of masked shapes\\n return min(max(X, diamond), max(cross, square));\\n}\\n#endif\\n\\n#ifdef USE_CIRCLE\\n// circle\\nfloat marker(vec2 P, float size)\\n{\\n return length(P) - size/2.0;\\n}\\n#endif\\n\\n#ifdef USE_SQUARE\\n// square\\nfloat marker(vec2 P, float size)\\n{\\n return max(abs(P.x), abs(P.y)) - size/2.0;\\n}\\n#endif\\n\\n#ifdef USE_DIAMOND\\n// diamond\\nfloat marker(vec2 P, float size)\\n{\\n float x = SQRT_2 / 2.0 * (P.x * 1.5 - P.y);\\n float y = SQRT_2 / 2.0 * (P.x * 1.5 + P.y);\\n float r1 = max(abs(x), abs(y)) - size / (2.0 * SQRT_2);\\n return r1 / SQRT_2;\\n}\\n#endif\\n\\n#ifdef USE_HEX\\n// hex\\nfloat marker(vec2 P, float size)\\n{\\n vec2 q = abs(P);\\n return max(q.y * 0.57735 + q.x - 1.0 * size/2.0, q.y - 0.866 * size/2.0);\\n}\\n#endif\\n\\n#ifdef USE_STAR\\n// star\\n// https://iquilezles.org/www/articles/distfunctions2d/distfunctions2d.htm\\nfloat marker(vec2 P, float size)\\n{\\n float bn = mod(atan(P.x, -P.y), 2.0*IN_ANGLE) - IN_ANGLE;\\n P = length(P)*vec2(cos(bn), abs(sin(bn)));\\n P -= size*vec2(COS_A, SIN_A)/2.;\\n P += vec2(COS_B, SIN_B)*clamp(-(P.x*COS_B + P.y*SIN_B), 0.0, size*SIN_A/SIN_B/2.);\\n\\n return length(P)*sign(P.x);\\n}\\n#endif\\n\\n#ifdef USE_TRIANGLE\\n// triangle\\nfloat marker(vec2 P, float size)\\n{\\n P.y -= size * 0.3;\\n float x = SQRT_2 / 2.0 * (P.x * 1.7 - P.y);\\n float y = SQRT_2 / 2.0 * (P.x * 1.7 + P.y);\\n float r1 = max(abs(x), abs(y)) - size / 1.6;\\n float r2 = P.y;\\n return max(r1 / SQRT_2, r2); // Intersect diamond with rectangle\\n}\\n#endif\\n\\n#ifdef USE_INVERTED_TRIANGLE\\n// inverted_triangle\\nfloat marker(vec2 P, float size)\\n{\\n P.y += size * 0.3;\\n float x = SQRT_2 / 2.0 * (P.x * 1.7 - P.y);\\n float y = SQRT_2 / 2.0 * (P.x * 1.7 + P.y);\\n float r1 = max(abs(x), abs(y)) - size / 1.6;\\n float r2 = - P.y;\\n return max(r1 / SQRT_2, r2); // Intersect diamond with rectangle\\n}\\n#endif\\n\\n#ifdef USE_CROSS\\n// cross\\nfloat marker(vec2 P, float size)\\n{\\n float square = max(abs(P.x), abs(P.y)) - size / 2.5; // 2.5 is a tweak\\n float cross = min(abs(P.x), abs(P.y)) - size / 100.0; // bit of \"width\" for aa\\n return max(square, cross);\\n}\\n#endif\\n\\n#ifdef USE_CIRCLE_CROSS\\n// circle_cross\\nfloat marker(vec2 P, float size)\\n{\\n // Define quadrants\\n float qs = size / 2.0; // quadrant size\\n float s1 = max(abs(P.x - qs), abs(P.y - qs)) - qs;\\n float s2 = max(abs(P.x + qs), abs(P.y - qs)) - qs;\\n float s3 = max(abs(P.x - qs), abs(P.y + qs)) - qs;\\n float s4 = max(abs(P.x + qs), abs(P.y + qs)) - qs;\\n // Intersect main shape with quadrants (to form cross)\\n float circle = length(P) - size/2.0;\\n float c1 = max(circle, s1);\\n float c2 = max(circle, s2);\\n float c3 = max(circle, s3);\\n float c4 = max(circle, s4);\\n // Union\\n return min(min(min(c1, c2), c3), c4);\\n}\\n#endif\\n\\n#ifdef USE_SQUARE_CROSS\\n// square_cross\\nfloat marker(vec2 P, float size)\\n{\\n // Define quadrants\\n float qs = size / 2.0; // quadrant size\\n float s1 = max(abs(P.x - qs), abs(P.y - qs)) - qs;\\n float s2 = max(abs(P.x + qs), abs(P.y - qs)) - qs;\\n float s3 = max(abs(P.x - qs), abs(P.y + qs)) - qs;\\n float s4 = max(abs(P.x + qs), abs(P.y + qs)) - qs;\\n // Intersect main shape with quadrants (to form cross)\\n float square = max(abs(P.x), abs(P.y)) - size/2.0;\\n float c1 = max(square, s1);\\n float c2 = max(square, s2);\\n float c3 = max(square, s3);\\n float c4 = max(square, s4);\\n // Union\\n return min(min(min(c1, c2), c3), c4);\\n}\\n#endif\\n\\n#ifdef USE_DIAMOND_CROSS\\n// diamond_cross\\nfloat marker(vec2 P, float size)\\n{\\n // Define quadrants\\n float qs = size / 2.0; // quadrant size\\n float s1 = max(abs(P.x - qs), abs(P.y - qs)) - qs;\\n float s2 = max(abs(P.x + qs), abs(P.y - qs)) - qs;\\n float s3 = max(abs(P.x - qs), abs(P.y + qs)) - qs;\\n float s4 = max(abs(P.x + qs), abs(P.y + qs)) - qs;\\n // Intersect main shape with quadrants (to form cross)\\n float x = SQRT_2 / 2.0 * (P.x * 1.5 - P.y);\\n float y = SQRT_2 / 2.0 * (P.x * 1.5 + P.y);\\n float diamond = max(abs(x), abs(y)) - size / (2.0 * SQRT_2);\\n diamond /= SQRT_2;\\n float c1 = max(diamond, s1);\\n float c2 = max(diamond, s2);\\n float c3 = max(diamond, s3);\\n float c4 = max(diamond, s4);\\n // Union\\n return min(min(min(c1, c2), c3), c4);\\n}\\n#endif\\n\\n#ifdef USE_X\\n// x\\nfloat marker(vec2 P, float size)\\n{\\n float circle = length(P) - size / 1.6;\\n float X = min(abs(P.x - P.y), abs(P.x + P.y)) - size / 100.0; // bit of \"width\" for aa\\n return max(circle, X);\\n}\\n#endif\\n\\n#ifdef USE_CIRCLE_X\\n// circle_x\\nfloat marker(vec2 P, float size)\\n{\\n float x = P.x - P.y;\\n float y = P.x + P.y;\\n // Define quadrants\\n float qs = size / 2.0; // quadrant size\\n float s1 = max(abs(x - qs), abs(y - qs)) - qs;\\n float s2 = max(abs(x + qs), abs(y - qs)) - qs;\\n float s3 = max(abs(x - qs), abs(y + qs)) - qs;\\n float s4 = max(abs(x + qs), abs(y + qs)) - qs;\\n // Intersect main shape with quadrants (to form cross)\\n float circle = length(P) - size/2.0;\\n float c1 = max(circle, s1);\\n float c2 = max(circle, s2);\\n float c3 = max(circle, s3);\\n float c4 = max(circle, s4);\\n // Union\\n float almost = min(min(min(c1, c2), c3), c4);\\n // In this case, the X is also outside of the main shape\\n float Xmask = length(P) - size / 1.6; // a circle\\n float X = min(abs(P.x - P.y), abs(P.x + P.y)) - size / 100.0; // bit of \"width\" for aa\\n return min(max(X, Xmask), almost);\\n}\\n#endif\\n\\n#ifdef USE_SQUARE_X\\n// square_x\\nfloat marker(vec2 P, float size)\\n{\\n float x = P.x - P.y;\\n float y = P.x + P.y;\\n // Define quadrants\\n float qs = size / 2.0; // quadrant size\\n float s1 = max(abs(x - qs), abs(y - qs)) - qs;\\n float s2 = max(abs(x + qs), abs(y - qs)) - qs;\\n float s3 = max(abs(x - qs), abs(y + qs)) - qs;\\n float s4 = max(abs(x + qs), abs(y + qs)) - qs;\\n // Intersect main shape with quadrants (to form cross)\\n float square = max(abs(P.x), abs(P.y)) - size/2.0;\\n float c1 = max(square, s1);\\n float c2 = max(square, s2);\\n float c3 = max(square, s3);\\n float c4 = max(square, s4);\\n // Union\\n return min(min(min(c1, c2), c3), c4);\\n}\\n#endif\\n\\nvec4 outline(float distance, float linewidth, float antialias, vec4 fg_color, vec4 bg_color)\\n{\\n vec4 frag_color;\\n float t = linewidth/2.0 - antialias;\\n float signed_distance = distance;\\n float border_distance = abs(signed_distance) - t;\\n float alpha = border_distance/antialias;\\n alpha = exp(-alpha*alpha);\\n\\n // If fg alpha is zero, it probably means no outline. To avoid a dark outline\\n // shining through due to aa, we set the fg color to the bg color. Avoid if (i.e. branching).\\n float select = float(bool(fg_color.a));\\n fg_color.rgb = select * fg_color.rgb + (1.0 - select) * bg_color.rgb;\\n // Similarly, if we want a transparent bg\\n select = float(bool(bg_color.a));\\n bg_color.rgb = select * bg_color.rgb + (1.0 - select) * fg_color.rgb;\\n\\n if( border_distance < 0.0)\\n frag_color = fg_color;\\n else if( signed_distance < 0.0 ) {\\n frag_color = mix(bg_color, fg_color, sqrt(alpha));\\n } else {\\n if( abs(signed_distance) < (linewidth/2.0 + antialias) ) {\\n frag_color = vec4(fg_color.rgb, fg_color.a * alpha);\\n } else {\\n discard;\\n }\\n }\\n return frag_color;\\n}\\n\\nvoid main()\\n{\\n vec2 P = gl_PointCoord.xy - vec2(0.5, 0.5);\\n P = vec2(v_rotation.x*P.x - v_rotation.y*P.y,\\n v_rotation.y*P.x + v_rotation.x*P.y);\\n float point_size = SQRT_2*v_size + 2.0 * (v_linewidth + 1.5*u_antialias);\\n float distance = marker(P*point_size, v_size);\\n gl_FragColor = outline(distance, v_linewidth, u_antialias, v_fg_color, v_bg_color);\\n}\\n'},\n", - " function _(e,l,i,s,t){s();const _=e(287);class p extends _.EllipseOvalView{}i.EllipseView=p,p.__name__=\"EllipseView\";class n extends _.EllipseOval{constructor(e){super(e)}static init_Ellipse(){this.prototype.default_view=p}}i.Ellipse=n,n.__name__=\"Ellipse\",n.init_Ellipse()},\n", - " function _(t,s,i,e,h){e();const r=t(1),a=t(288),n=r.__importStar(t(107)),l=t(24),o=t(59);class _ extends a.CenterRotatableView{_map_data(){\"data\"==this.model.properties.width.units?this.sw=this.sdist(this.renderer.xscale,this._x,this.width,\"center\"):this.sw=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=l.to_screen(this.height)}_render(t,s,i){const{sx:e,sy:h,sw:r,sh:a,angle:n}=null!=i?i:this;for(const i of s){const s=e[i],l=h[i],o=r[i],_=a[i],d=n.get(i);isNaN(s+l+o+_+d)||(t.beginPath(),t.ellipse(s,l,o/2,_/2,d,0,2*Math.PI),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(t,i),t.fill()),this.visuals.hatch.doit&&(this.visuals.hatch.set_vectorize(t,i),t.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(t,i),t.stroke()))}}_hit_point(t){let s,i,e,h,r,a,l,_,d;const{sx:c,sy:x}=t,w=this.renderer.xscale.invert(c),p=this.renderer.yscale.invert(x);\"data\"==this.model.properties.width.units?(s=w-this.max_width,i=w+this.max_width):(a=c-this.max_width,l=c+this.max_width,[s,i]=this.renderer.xscale.r_invert(a,l)),\"data\"==this.model.properties.height.units?(e=p-this.max_height,h=p+this.max_height):(_=x-this.max_height,d=x+this.max_height,[e,h]=this.renderer.yscale.r_invert(_,d));const m=this.index.indices({x0:s,x1:i,y0:e,y1:h}),v=[];for(const t of m)r=n.point_in_ellipse(c,x,this.angle.get(t),this.sh[t]/2,this.sw[t]/2,this.sx[t],this.sy[t]),r&&v.push(t);return new o.Selection({indices:v})}draw_legend_for_index(t,{x0:s,y0:i,x1:e,y1:h},r){const a=r+1,n=new Array(a);n[r]=(s+e)/2;const l=new Array(a);l[r]=(i+h)/2;const o=this.sw[r]/this.sh[r],_=.8*Math.min(Math.abs(e-s),Math.abs(h-i)),d=new Array(a),c=new Array(a);o>1?(d[r]=_,c[r]=_/o):(d[r]=_*o,c[r]=_),this._render(t,[r],{sx:n,sy:l,sw:d,sh:c,_angle:[0]})}}i.EllipseOvalView=_,_.__name__=\"EllipseOvalView\";class d extends a.CenterRotatable{constructor(t){super(t)}}i.EllipseOval=d,d.__name__=\"EllipseOval\"},\n", - " function _(t,e,i,a,n){a();const s=t(1),h=t(64),r=t(48),o=s.__importStar(t(18));class _ 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:t,x1:e,y0:i,y1:a}){const{max_w2:n,max_h2:s}=this;return{x0:t-n,x1:e+n,y0:i-s,y1:a+s}}}i.CenterRotatableView=_,_.__name__=\"CenterRotatableView\";class l extends h.XYGlyph{constructor(t){super(t)}static init_CenterRotatable(){this.mixins([r.LineVector,r.FillVector,r.HatchVector]),this.define((({})=>({angle:[o.AngleSpec,0],width:[o.DistanceSpec,{field:\"width\"}],height:[o.DistanceSpec,{field:\"height\"}]})))}}i.CenterRotatable=l,l.__name__=\"CenterRotatable\",l.init_CenterRotatable()},\n", - " function _(t,e,s,i,h){i();const r=t(1),a=t(290),n=t(24),_=r.__importStar(t(18));class o extends a.BoxView{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],h=this.height.get(t)/2;return[Math.min(e,s),Math.max(e,s),i+h,i-h]}_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 n.ScreenArray(t),this.sbottom=new n.ScreenArray(t);for(let e=0;e({left:[_.XCoordinateSpec,{value:0}],y:[_.YCoordinateSpec,{field:\"y\"}],height:[_.NumberSpec,{value:1}],right:[_.XCoordinateSpec,{field:\"right\"}]})))}}s.HBar=c,c.__name__=\"HBar\",c.init_HBar()},\n", - " function _(t,e,s,i,r){i();const n=t(48),o=t(98),a=t(106),h=t(59);class c extends o.GlyphView{get_anchor_point(t,e,s){const i=Math.min(this.sleft[e],this.sright[e]),r=Math.max(this.sright[e],this.sleft[e]),n=Math.min(this.stop[e],this.sbottom[e]),o=Math.max(this.sbottom[e],this.stop[e]);switch(t){case\"top_left\":return{x:i,y:n};case\"top\":case\"top_center\":return{x:(i+r)/2,y:n};case\"top_right\":return{x:r,y:n};case\"bottom_left\":return{x:i,y:o};case\"bottom\":case\"bottom_center\":return{x:(i+r)/2,y:o};case\"bottom_right\":return{x:r,y:o};case\"left\":case\"center_left\":return{x:i,y:(n+o)/2};case\"center\":case\"center_center\":return{x:(i+r)/2,y:(n+o)/2};case\"right\":case\"center_right\":return{x:r,y:(n+o)/2}}}_index_data(t){const{min:e,max:s}=Math,{data_size:i}=this;for(let r=0;r({r:[c.NumberSpec,{field:\"r\"}],q:[c.NumberSpec,{field:\"q\"}],scale:[c.NumberSpec,1],size:[e,1],aspect_scale:[e,1],orientation:[h.HexTileOrientation,\"pointytop\"]}))),this.override({line_color:null})}}s.HexTile=y,y.__name__=\"HexTile\",y.init_HexTile()},\n", - " function _(e,a,t,_,s){_();const i=e(293),n=e(203),r=e(214);class o extends i.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=o,o.__name__=\"ImageView\";class m extends i.ImageBase{constructor(e){super(e)}static init_Image(){this.prototype.default_view=o,this.define((({Ref:e})=>({color_mapper:[e(n.ColorMapper),()=>new r.LinearColorMapper({palette:[\"#000000\",\"#252525\",\"#525252\",\"#737373\",\"#969696\",\"#bdbdbd\",\"#d9d9d9\",\"#f0f0f0\",\"#ffffff\"]})]})))}}t.Image=m,m.__name__=\"Image\",m.init_Image()},\n", - " function _(e,t,i,s,a){s();const h=e(1),n=e(64),r=e(24),_=h.__importStar(e(18)),d=e(59),l=e(9),g=e(29),o=e(11);class c extends n.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}=null!=i?i:this,_=e.getImageSmoothingEnabled();e.setImageSmoothingEnabled(!1),e.globalAlpha=this.model.global_alpha;for(const i of t){const t=s[i],_=a[i],d=h[i],l=n[i],g=r[i];if(null==t||isNaN(_+d+l+g))continue;const o=d;e.translate(0,o),e.scale(1,-1),e.translate(0,-o),e.drawImage(t,0|_,0|d,l,g),e.translate(0,o),e.scale(1,-1),e.translate(0,-o)}e.setImageSmoothingEnabled(_)}_set_data(e){this._set_width_heigh_data();for(let t=0,i=this.image.length;t({image:[_.NDArraySpec,{field:\"image\"}],dw:[_.DistanceSpec,{field:\"dw\"}],dh:[_.DistanceSpec,{field:\"dh\"}],dilate:[e,!1],global_alpha:[t,1]})))}}i.ImageBase=m,m.__name__=\"ImageBase\",m.init_ImageBase()},\n", - " function _(e,a,t,_,i){_();const n=e(293),s=e(8);class r extends n.ImageBaseView{_flat_img_to_buf8(e){let a;return a=s.isArray(e)?new Uint32Array(e):e,new Uint8ClampedArray(a.buffer)}}t.ImageRGBAView=r,r.__name__=\"ImageRGBAView\";class m extends n.ImageBase{constructor(e){super(e)}static init_ImageRGBA(){this.prototype.default_view=r}}t.ImageRGBA=m,m.__name__=\"ImageRGBA\",m.init_ImageRGBA()},\n", - " function _(e,t,s,r,a){r();const i=e(1),n=e(64),o=e(24),c=e(20),_=i.__importStar(e(18)),h=e(12),l=e(296);class d extends n.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,c=new o.ScreenArray(a?2*n:n),_=new o.ScreenArray(i?2*n:n),{anchor:d}=this.model;function m(e,t){switch(d){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(d){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:[_.StringSpec,{field:\"url\"}],anchor:[c.Anchor,\"top_left\"],global_alpha:[s,1],angle:[_.AngleSpec,0],w:[_.NullDistanceSpec,null],h:[_.NullDistanceSpec,null],dilate:[e,!1],retry_attempts:[t,0],retry_timeout:[t,0]})))}}s.ImageURL=m,m.__name__=\"ImageURL\",m.init_ImageURL()},\n", - " function _(i,e,t,s,o){s();const a=i(19);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,s,e,i,n){i();const o=t(1),l=t(101),r=t(98),h=t(106),_=t(12),a=t(12),c=t(48),d=o.__importStar(t(107)),x=o.__importStar(t(18)),y=t(59),f=t(11);class g extends r.GlyphView{_project_data(){}_index_data(t){const{min:s,max:e}=Math,{data_size:i}=this;for(let n=0;n1&&c.length>1)for(let e=1,i=n.length;e1){let l=!1;for(let t=1;t({xs:[x.XCoordinateSeqSeqSeqSpec,{field:\"xs\"}],ys:[x.YCoordinateSeqSeqSeqSpec,{field:\"ys\"}]}))),this.mixins([c.LineVector,c.FillVector,c.HatchVector])}}e.MultiPolygons=p,p.__name__=\"MultiPolygons\",p.init_MultiPolygons()},\n", - " function _(a,t,e,l,s){l();const _=a(287),i=a(12);class n extends _.EllipseOvalView{_map_data(){super._map_data(),i.mul(this.sw,.75)}}e.OvalView=n,n.__name__=\"OvalView\";class v extends _.EllipseOval{constructor(a){super(a)}static init_Oval(){this.prototype.default_view=n}}e.Oval=v,v.__name__=\"Oval\",v.init_Oval()},\n", - " function _(t,e,i,o,s){o();const r=t(1),_=t(290),d=r.__importStar(t(18));class n extends _.BoxView{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=n,n.__name__=\"QuadView\";class a extends _.Box{constructor(t){super(t)}static init_Quad(){this.prototype.default_view=n,this.define((({})=>({right:[d.XCoordinateSpec,{field:\"right\"}],bottom:[d.YCoordinateSpec,{field:\"bottom\"}],left:[d.XCoordinateSpec,{field:\"left\"}],top:[d.YCoordinateSpec,{field:\"top\"}]})))}}i.Quad=a,a.__name__=\"Quad\",a.init_Quad()},\n", - " function _(e,t,i,s,n){s();const a=e(1),c=e(48),o=e(65),r=e(98),_=e(106),d=a.__importStar(e(18));function l(e,t,i){if(t==(e+i)/2)return[e,i];{const s=(e-t)/(e-2*t+i),n=e*(1-s)**2+2*t*(1-s)*s+i*s**2;return[Math.min(e,i,n),Math.max(e,i,n)]}}class x extends r.GlyphView{_project_data(){o.inplace.project_xy(this._x0,this._y0),o.inplace.project_xy(this._x1,this._y1)}_index_data(e){const{_x0:t,_x1:i,_y0:s,_y1:n,_cx:a,_cy:c,data_size:o}=this;for(let r=0;r({x0:[d.XCoordinateSpec,{field:\"x0\"}],y0:[d.YCoordinateSpec,{field:\"y0\"}],x1:[d.XCoordinateSpec,{field:\"x1\"}],y1:[d.YCoordinateSpec,{field:\"y1\"}],cx:[d.XCoordinateSpec,{field:\"cx\"}],cy:[d.YCoordinateSpec,{field:\"cy\"}]}))),this.mixins(c.LineVector)}}i.Quadratic=y,y.__name__=\"Quadratic\",y.init_Quadratic()},\n", - " function _(e,t,s,i,n){i();const a=e(1),l=e(64),h=e(106),r=e(48),o=e(24),_=a.__importStar(e(18));class c extends l.XYGlyphView{_map_data(){\"data\"==this.model.properties.length.units?this.slength=this.sdist(this.renderer.xscale,this._x,this.length):this.slength=o.to_screen(this.length);const{width:e,height:t}=this.renderer.plot_view.frame.bbox,s=2*(e+t),{slength:i}=this;for(let e=0,t=i.length;e({length:[_.DistanceSpec,0],angle:[_.AngleSpec,0]})))}}s.Ray=g,g.__name__=\"Ray\",g.init_Ray()},\n", - " function _(t,s,e,i,h){i();const r=t(288),n=t(106),a=t(24),o=t(12),l=t(59);class _ extends r.CenterRotatableView{_map_data(){if(\"data\"==this.model.properties.width.units)[this.sw,this.sx0]=this._map_dist_corner_for_data_side_length(this._x,this.width,this.renderer.xscale);else{this.sw=a.to_screen(this.width);const t=this.sx.length;this.sx0=new a.ScreenArray(t);for(let s=0;s({dilate:[t,!1]})))}}e.Rect=c,c.__name__=\"Rect\",c.init_Rect()},\n", - " function _(e,t,r,s,i){s();const a=e(1),n=e(304),_=e(305),l=e(283),c=a.__importStar(e(18));class o extends n.MarkerView{_init_webgl(){const{webgl:e}=this.renderer.plot_view.canvas_view;if(null!=e){const t=new Set(this.marker);if(1==t.size){const[r]=[...t];if(l.MarkerGL.is_supported(r)){const{glglyph:t}=this;if(null==t||t.marker_type!=r)return void(this.glglyph=new l.MarkerGL(e.gl,this,r))}}}delete this.glglyph}_set_data(e){super._set_data(e),this._init_webgl()}_render(e,t,r){const{sx:s,sy:i,size:a,angle:n,marker:l}=null!=r?r:this;for(const r of t){const t=s[r],c=i[r],o=a.get(r),g=n.get(r),h=l.get(r);if(isNaN(t+c+o+g)||null==h)continue;const d=o/2;e.beginPath(),e.translate(t,c),g&&e.rotate(g),_.marker_funcs[h](e,r,d,this.visuals),g&&e.rotate(-g),e.translate(-t,-c)}}draw_legend_for_index(e,{x0:t,x1:r,y0:s,y1:i},a){const n=a+1,_=this.marker.get(a),l=Object.assign(Object.assign({},this._get_legend_args({x0:t,x1:r,y0:s,y1:i},a)),{marker:new c.UniformScalar(_,n)});this._render(e,[a],l)}}r.ScatterView=o,o.__name__=\"ScatterView\";class g extends n.Marker{constructor(e){super(e)}static init_Scatter(){this.prototype.default_view=o,this.define((()=>({marker:[c.MarkerSpec,{value:\"circle\"}]})))}}r.Scatter=g,g.__name__=\"Scatter\",g.init_Scatter()},\n", - " function _(e,t,s,i,n){i();const r=e(1),a=e(64),c=e(48),_=r.__importStar(e(107)),o=r.__importStar(e(18)),h=e(9),l=e(59);class x extends a.XYGlyphView{_render(e,t,s){const{sx:i,sy:n,size:r,angle:a}=null!=s?s:this;for(const s of t){const t=i[s],c=n[s],_=r.get(s),o=a.get(s);if(isNaN(t+c+_+o))continue;const h=_/2;e.beginPath(),e.translate(t,c),o&&e.rotate(o),this._render_one(e,s,h,this.visuals),o&&e.rotate(-o),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))),i=t.widen(this.max_size).map((e=>this.renderer.yscale.invert(e)));return this.index.indices({x0:s.start,x1:s.end,y0:i.start,y1:i.end})}_hit_point(e){const{sx:t,sy:s}=e,{max_size:i}=this,{hit_dilation:n}=this.model,r=t-i*n,a=t+i*n,[c,_]=this.renderer.xscale.r_invert(r,a),o=s-i*n,h=s+i*n,[x,d]=this.renderer.yscale.r_invert(o,h),y=this.index.indices({x0:c,x1:_,y0:x,y1:d}),g=[];for(const e of y){const i=this.size.get(e)/2*n;Math.abs(this.sx[e]-t)<=i&&Math.abs(this.sy[e]-s)<=i&&g.push(e)}return new l.Selection({indices:g})}_hit_span(e){const{sx:t,sy:s}=e,i=this.bounds(),n=this.max_size/2;let r,a,c,_;if(\"h\"==e.direction){c=i.y0,_=i.y1;const e=t-n,s=t+n;[r,a]=this.renderer.xscale.r_invert(e,s)}else{r=i.x0,a=i.x1;const e=s-n,t=s+n;[c,_]=this.renderer.yscale.r_invert(e,t)}const o=[...this.index.indices({x0:r,x1:a,y0:c,y1:_})];return new l.Selection({indices:o})}_hit_rect(e){const{sx0:t,sx1:s,sy0:i,sy1:n}=e,[r,a]=this.renderer.xscale.r_invert(t,s),[c,_]=this.renderer.yscale.r_invert(i,n),o=[...this.index.indices({x0:r,x1:a,y0:c,y1:_})];return new l.Selection({indices:o})}_hit_poly(e){const{sx:t,sy:s}=e,i=h.range(0,this.sx.length),n=[];for(let e=0,r=i.length;e({size:[o.ScreenDistanceSpec,{value:4}],angle:[o.AngleSpec,0],hit_dilation:[e,1]})))}}s.Marker=d,d.__name__=\"Marker\",d.init_Marker()},\n", - " function _(t,e,i,o,l){o();const n=Math.sqrt(3),c=Math.sqrt(5),r=(c+1)/4,s=Math.sqrt((5-c)/8),f=(c-1)/4,a=Math.sqrt((5+c)/8);function h(t,e){t.rotate(Math.PI/4),d(t,e),t.rotate(-Math.PI/4)}function v(t,e){const i=e*n,o=i/3;t.moveTo(-i/2,-o),t.lineTo(0,0),t.lineTo(i/2,-o),t.lineTo(0,0),t.lineTo(0,e)}function d(t,e){t.moveTo(0,e),t.lineTo(0,-e),t.moveTo(-e,0),t.lineTo(e,0)}function _(t,e){t.moveTo(0,e),t.lineTo(e/1.5,0),t.lineTo(0,-e),t.lineTo(-e/1.5,0),t.closePath()}function u(t,e){const i=e*n,o=i/3;t.moveTo(-e,o),t.lineTo(e,o),t.lineTo(0,o-i),t.closePath()}function z(t,e,i,o){t.arc(0,0,i,0,2*Math.PI,!1),o.fill.doit&&(o.fill.set_vectorize(t,e),t.fill()),o.hatch.doit&&(o.hatch.set_vectorize(t,e),t.fill()),o.line.doit&&(o.line.set_vectorize(t,e),t.stroke())}function T(t,e,i,o){_(t,i),o.fill.doit&&(o.fill.set_vectorize(t,e),t.fill()),o.hatch.doit&&(o.hatch.set_vectorize(t,e),t.fill()),o.line.doit&&(o.line.set_vectorize(t,e),t.stroke())}function k(t,e,i,o){!function(t,e){t.beginPath(),t.arc(0,0,e/4,0,2*Math.PI,!1),t.closePath()}(t,i),o.line.set_vectorize(t,e),t.fillStyle=t.strokeStyle,t.fill()}function P(t,e,i,o){!function(t,e){const i=e/2,o=n*i;t.moveTo(e,0),t.lineTo(i,-o),t.lineTo(-i,-o),t.lineTo(-e,0),t.lineTo(-i,o),t.lineTo(i,o),t.closePath()}(t,i),o.fill.doit&&(o.fill.set_vectorize(t,e),t.fill()),o.hatch.doit&&(o.hatch.set_vectorize(t,e),t.fill()),o.line.doit&&(o.line.set_vectorize(t,e),t.stroke())}function m(t,e,i,o){const l=2*i;t.rect(-i,-i,l,l),o.fill.doit&&(o.fill.set_vectorize(t,e),t.fill()),o.hatch.doit&&(o.hatch.set_vectorize(t,e),t.fill()),o.line.doit&&(o.line.set_vectorize(t,e),t.stroke())}function q(t,e,i,o){!function(t,e){const i=Math.sqrt(5-2*c)*e;t.moveTo(0,-e),t.lineTo(i*f,i*a-e),t.lineTo(i*(1+f),i*a-e),t.lineTo(i*(1+f-r),i*(a+s)-e),t.lineTo(i*(1+2*f-r),i*(2*a+s)-e),t.lineTo(0,2*i*a-e),t.lineTo(-i*(1+2*f-r),i*(2*a+s)-e),t.lineTo(-i*(1+f-r),i*(a+s)-e),t.lineTo(-i*(1+f),i*a-e),t.lineTo(-i*f,i*a-e),t.closePath()}(t,i),o.fill.doit&&(o.fill.set_vectorize(t,e),t.fill()),o.hatch.doit&&(o.hatch.set_vectorize(t,e),t.fill()),o.line.doit&&(o.line.set_vectorize(t,e),t.stroke())}function M(t,e,i,o){u(t,i),o.fill.doit&&(o.fill.set_vectorize(t,e),t.fill()),o.hatch.doit&&(o.hatch.set_vectorize(t,e),t.fill()),o.line.doit&&(o.line.set_vectorize(t,e),t.stroke())}i.marker_funcs={asterisk:function(t,e,i,o){d(t,i),h(t,i),o.line.doit&&(o.line.set_vectorize(t,e),t.stroke())},circle:z,circle_cross:function(t,e,i,o){t.arc(0,0,i,0,2*Math.PI,!1),o.fill.doit&&(o.fill.set_vectorize(t,e),t.fill()),o.hatch.doit&&(o.hatch.set_vectorize(t,e),t.fill()),o.line.doit&&(o.line.set_vectorize(t,e),d(t,i),t.stroke())},circle_dot:function(t,e,i,o){z(t,e,i,o),k(t,e,i,o)},circle_y:function(t,e,i,o){t.arc(0,0,i,0,2*Math.PI,!1),o.fill.doit&&(o.fill.set_vectorize(t,e),t.fill()),o.hatch.doit&&(o.hatch.set_vectorize(t,e),t.fill()),o.line.doit&&(o.line.set_vectorize(t,e),v(t,i),t.stroke())},circle_x:function(t,e,i,o){t.arc(0,0,i,0,2*Math.PI,!1),o.fill.doit&&(o.fill.set_vectorize(t,e),t.fill()),o.hatch.doit&&(o.hatch.set_vectorize(t,e),t.fill()),o.line.doit&&(o.line.set_vectorize(t,e),h(t,i),t.stroke())},cross:function(t,e,i,o){d(t,i),o.line.doit&&(o.line.set_vectorize(t,e),t.stroke())},diamond:T,diamond_dot:function(t,e,i,o){T(t,e,i,o),k(t,e,i,o)},diamond_cross:function(t,e,i,o){_(t,i),o.fill.doit&&(o.fill.set_vectorize(t,e),t.fill()),o.hatch.doit&&(o.hatch.set_vectorize(t,e),t.fill()),o.line.doit&&(o.line.set_vectorize(t,e),t.moveTo(0,i),t.lineTo(0,-i),t.moveTo(-i/1.5,0),t.lineTo(i/1.5,0),t.stroke())},dot:k,hex:P,hex_dot:function(t,e,i,o){P(t,e,i,o),k(t,e,i,o)},inverted_triangle:function(t,e,i,o){t.rotate(Math.PI),u(t,i),t.rotate(-Math.PI),o.fill.doit&&(o.fill.set_vectorize(t,e),t.fill()),o.hatch.doit&&(o.hatch.set_vectorize(t,e),t.fill()),o.line.doit&&(o.line.set_vectorize(t,e),t.stroke())},plus:function(t,e,i,o){const l=3*i/8,n=[l,l,i,i,l,l,-l,-l,-i,-i,-l,-l],c=[i,l,l,-l,-l,-i,-i,-l,-l,l,l,i];t.beginPath();for(let e=0;e<12;e++)t.lineTo(n[e],c[e]);t.closePath(),o.fill.doit&&(o.fill.set_vectorize(t,e),t.fill()),o.hatch.doit&&(o.hatch.set_vectorize(t,e),t.fill()),o.line.doit&&(o.line.set_vectorize(t,e),t.stroke())},square:m,square_cross:function(t,e,i,o){const l=2*i;t.rect(-i,-i,l,l),o.fill.doit&&(o.fill.set_vectorize(t,e),t.fill()),o.hatch.doit&&(o.hatch.set_vectorize(t,e),t.fill()),o.line.doit&&(o.line.set_vectorize(t,e),d(t,i),t.stroke())},square_dot:function(t,e,i,o){m(t,e,i,o),k(t,e,i,o)},square_pin:function(t,e,i,o){const l=3*i/8;t.moveTo(-i,-i),t.quadraticCurveTo(0,-l,i,-i),t.quadraticCurveTo(l,0,i,i),t.quadraticCurveTo(0,l,-i,i),t.quadraticCurveTo(-l,0,-i,-i),t.closePath(),o.fill.doit&&(o.fill.set_vectorize(t,e),t.fill()),o.hatch.doit&&(o.hatch.set_vectorize(t,e),t.fill()),o.line.doit&&(o.line.set_vectorize(t,e),t.stroke())},square_x:function(t,e,i,o){const l=2*i;t.rect(-i,-i,l,l),o.fill.doit&&(o.fill.set_vectorize(t,e),t.fill()),o.hatch.doit&&(o.hatch.set_vectorize(t,e),t.fill()),o.line.doit&&(o.line.set_vectorize(t,e),t.moveTo(-i,i),t.lineTo(i,-i),t.moveTo(-i,-i),t.lineTo(i,i),t.stroke())},star:q,star_dot:function(t,e,i,o){q(t,e,i,o),k(t,e,i,o)},triangle:M,triangle_dot:function(t,e,i,o){M(t,e,i,o),k(t,e,i,o)},triangle_pin:function(t,e,i,o){const l=i*n,c=l/3,r=3*c/8;t.moveTo(-i,c),t.quadraticCurveTo(0,r,i,c),t.quadraticCurveTo(n*r/2,r/2,0,c-l),t.quadraticCurveTo(-n*r/2,r/2,-i,c),t.closePath(),o.fill.doit&&(o.fill.set_vectorize(t,e),t.fill()),o.hatch.doit&&(o.hatch.set_vectorize(t,e),t.fill()),o.line.doit&&(o.line.set_vectorize(t,e),t.stroke())},dash:function(t,e,i,o){!function(t,e){t.moveTo(-e,0),t.lineTo(e,0)}(t,i),o.line.doit&&(o.line.set_vectorize(t,e),t.stroke())},x:function(t,e,i,o){h(t,i),o.line.doit&&(o.line.set_vectorize(t,e),t.stroke())},y:function(t,e,i,o){v(t,i),o.line.doit&&(o.line.set_vectorize(t,e),t.stroke())}}},\n", - " function _(e,t,s,i,n){i();const r=e(1),_=r.__importStar(e(107)),o=r.__importStar(e(18)),h=e(48),a=e(65),c=e(98),d=e(106),x=e(59);class y extends c.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:_,data_size:o}=this;for(let h=0;h({x0:[o.XCoordinateSpec,{field:\"x0\"}],y0:[o.YCoordinateSpec,{field:\"y0\"}],x1:[o.XCoordinateSpec,{field:\"x1\"}],y1:[o.YCoordinateSpec,{field:\"y1\"}]}))),this.mixins(h.LineVector)}}s.Segment=l,l.__name__=\"Segment\",l.init_Segment()},\n", - " function _(t,e,s,i,n){i();const _=t(1),l=t(64),o=_.__importStar(t(48)),a=t(308);class c extends l.XYGlyphView{_set_data(){const{tension:t,closed:e}=this.model;[this._xt,this._yt]=a.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;this.visuals.line.set_value(t);const _=i.length;for(let e=0;e<_;e++)0!=e?isNaN(i[e])||isNaN(n[e])?(t.stroke(),t.beginPath()):t.lineTo(i[e],n[e]):(t.beginPath(),t.moveTo(i[e],n[e]));t.stroke()}}s.SplineView=c,c.__name__=\"SplineView\";class h extends l.XYGlyph{constructor(t){super(t)}static init_Spline(){this.prototype.default_view=c,this.mixins(o.LineScalar),this.define((({Boolean:t,Number:e})=>({tension:[e,.5],closed:[t,!1]})))}}s.Spline=h,h.__name__=\"Spline\",h.init_Spline()},\n", - " function _(n,t,e,o,s){o();const c=n(24),l=n(11);e.catmullrom_spline=function(n,t,e=10,o=.5,s=!1){l.assert(n.length==t.length);const r=n.length,f=s?r+1:r,w=c.infer_type(n,t),i=new w(f+2),u=new w(f+2);i.set(n,1),u.set(t,1),s?(i[0]=n[r-1],u[0]=t[r-1],i[f]=n[0],u[f]=t[0],i[f+1]=n[1],u[f+1]=t[1]):(i[0]=n[0],u[0]=t[0],i[f+1]=n[r-1],u[f+1]=t[r-1]);const g=new w(4*(e+1));for(let n=0,t=0;n<=e;n++){const o=n/e,s=o**2,c=o*s;g[t++]=2*c-3*s+1,g[t++]=-2*c+3*s,g[t++]=c-2*s+o,g[t++]=c-s}const h=new w((f-1)*(e+1)),_=new w((f-1)*(e+1));for(let n=1,t=0;n1&&(e.stroke(),o=!1)}o?(e.lineTo(t,a),e.lineTo(r,_)):(e.beginPath(),e.moveTo(n[i],s[i]),o=!0),l=i}e.lineTo(n[r-1],s[r-1]),e.stroke()}}draw_legend_for_index(e,t,i){r.generic_line_scalar_legend(this.visuals,e,t)}}i.StepView=c,c.__name__=\"StepView\";class d extends l.XYGlyph{constructor(e){super(e)}static init_Step(){this.prototype.default_view=c,this.mixins(a.LineScalar),this.define((()=>({mode:[_.StepMode,\"before\"]})))}}i.Step=d,d.__name__=\"Step\",d.init_Step()},\n", - " function _(t,e,s,i,n){i();const o=t(1),_=t(64),h=t(48),l=o.__importStar(t(107)),r=o.__importStar(t(18)),a=t(143),c=t(11),x=t(59);class u extends _.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]=[],c=i[s],x=n[s],u=o.get(s),f=_.get(s),p=h.get(s),g=l.get(s);if(!isNaN(c+x+u+f+p)&&null!=g&&this.visuals.text.doit){const i=`${g}`;t.save(),t.translate(c+u,x+f),t.rotate(p),this.visuals.text.set_vectorize(t,s);const n=this.visuals.text.font_value(s),{height:o}=a.font_metrics(n),_=this.text_line_height.get(s)*o;if(-1==i.indexOf(\"\\n\")){t.fillText(i,0,0);const s=c+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=c+u,n=l+x+f,o=t.measureText(s).width,[h,a]=this._text_bounds(i,n,o,_);e.push(h),r.push(a),l+=_}}t.restore()}}}_hit_point(t){const{sx:e,sy:s}=t,i=[];for(let t=0;t({text:[r.NullStringSpec,{field:\"text\"}],angle:[r.AngleSpec,0],x_offset:[r.NumberSpec,0],y_offset:[r.NumberSpec,0]})))}}s.Text=f,f.__name__=\"Text\",f.init_Text()},\n", - " function _(t,s,e,i,r){i();const h=t(1),o=t(290),a=t(24),n=h.__importStar(t(18));class _ extends o.BoxView{scenterxy(t){return[this.sx[t],(this.stop[t]+this.sbottom[t])/2]}_lrtb(t){const s=this.width.get(t)/2,e=this._x[t],i=this._top[t],r=this._bottom[t];return[e-s,e+s,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 a.ScreenArray(t),this.sright=new a.ScreenArray(t);for(let s=0;s({x:[n.XCoordinateSpec,{field:\"x\"}],bottom:[n.YCoordinateSpec,{value:0}],width:[n.NumberSpec,{value:1}],top:[n.YCoordinateSpec,{field:\"top\"}]})))}}e.VBar=c,c.__name__=\"VBar\",c.init_VBar()},\n", - " function _(e,t,s,i,n){i();const r=e(1),a=e(64),l=e(106),c=e(48),d=e(24),h=e(20),o=r.__importStar(e(18)),_=e(10),u=e(59);class g extends a.XYGlyphView{_map_data(){\"data\"==this.model.properties.radius.units?this.sradius=this.sdist(this.renderer.xscale,this._x,this.radius):this.sradius=d.to_screen(this.radius)}_render(e,t,s){const{sx:i,sy:n,sradius:r,start_angle:a,end_angle:l}=null!=s?s:this,c=\"anticlock\"==this.model.direction;for(const s of t){const t=i[s],d=n[s],h=r[s],o=a.get(s),_=l.get(s);isNaN(t+d+h+o+_)||(e.beginPath(),e.arc(t,d,h,o,_,c),e.lineTo(t,d),e.closePath(),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(e,s),e.fill()),this.visuals.hatch.doit&&(this.visuals.hatch.set_vectorize(e,s),e.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,s),e.stroke()))}}_hit_point(e){let t,s,i,n,r,a,l,c,d;const{sx:h,sy:o}=e,g=this.renderer.xscale.invert(h),p=this.renderer.yscale.invert(o),x=2*this.max_radius;\"data\"===this.model.properties.radius.units?(a=g-x,l=g+x,c=p-x,d=p+x):(s=h-x,i=h+x,[a,l]=this.renderer.xscale.r_invert(s,i),n=o-x,r=o+x,[c,d]=this.renderer.yscale.r_invert(n,r));const f=[];for(const e of this.index.indices({x0:a,x1:l,y0:c,y1:d})){const a=this.sradius[e]**2;[s,i]=this.renderer.xscale.r_compute(g,this._x[e]),[n,r]=this.renderer.yscale.r_compute(p,this._y[e]),t=(s-i)**2+(n-r)**2,t<=a&&f.push(e)}const v=\"anticlock\"==this.model.direction,y=[];for(const e of f){const t=Math.atan2(o-this.sy[e],h-this.sx[e]);_.angle_between(-t,-this.start_angle.get(e),-this.end_angle.get(e),v)&&y.push(e)}return new u.Selection({indices:y})}draw_legend_for_index(e,t,s){l.generic_area_vector_legend(this.visuals,e,t,s)}scenterxy(e){const t=this.sradius[e]/2,s=(this.start_angle.get(e)+this.end_angle.get(e))/2;return[this.sx[e]+t*Math.cos(s),this.sy[e]+t*Math.sin(s)]}}s.WedgeView=g,g.__name__=\"WedgeView\";class p extends a.XYGlyph{constructor(e){super(e)}static init_Wedge(){this.prototype.default_view=g,this.mixins([c.LineVector,c.FillVector,c.HatchVector]),this.define((({})=>({direction:[h.Direction,\"anticlock\"],radius:[o.DistanceSpec,{field:\"radius\"}],start_angle:[o.AngleSpec,{field:\"start_angle\"}],end_angle:[o.AngleSpec,{field:\"end_angle\"}]})))}}s.Wedge=p,p.__name__=\"Wedge\",p.init_Wedge()},\n", - " function _(t,_,r,o,a){o();const e=t(1);e.__exportStar(t(126),r),e.__exportStar(t(125),r),e.__exportStar(t(314),r)},\n", - " function _(t,a,o,r,e){r();const n=t(125);class l extends n.LayoutProvider{constructor(t){super(t)}static init_StaticLayoutProvider(){this.define((({Number:t,Tuple:a,Dict:o})=>({graph_layout:[o(a(t,t)),{}]})))}get_node_coordinates(t){var a;const o=null!==(a=t.data.index)&&void 0!==a?a:[],r=o.length,e=new Float64Array(r),n=new Float64Array(r);for(let t=0;tthis.request_render()))}_draw_regions(i){if(!this.visuals.band_fill.doit&&!this.visuals.band_hatch.doit)return;const[e,t]=this.grid_coords(\"major\",!1);for(let s=0;st[1]&&(n=t[1]);else{[s,n]=t;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,n]=i.computed_bounds)}return[s,n]}grid_coords(i,e=!0){const t=this.model.dimension,s=(t+1)%2,[n,r]=this.ranges();let[o,d]=this.computed_bounds();[o,d]=[Math.min(o,d),Math.max(o,d)];const l=[[],[]],_=this.model.get_ticker();if(null==_)return l;const a=_.get_ticks(o,d,n,r.min)[i],h=n.min,u=n.max,c=r.min,m=r.max;e||(a[0]!=h&&a.splice(0,0,h),a[a.length-1]!=u&&a.push(u));for(let i=0;i({bounds:[r(n(i,i),e),\"auto\"],dimension:[t(0,1),0],axis:[d(s(o.Axis)),null],ticker:[d(s(l.Ticker)),null]}))),this.override({level:\"underlay\",band_fill_color:null,band_fill_alpha:0,grid_line_color:\"#e5e5e5\",minor_grid_line_color:null})}get_ticker(){return null!=this.ticker?this.ticker:null!=this.axis?this.axis.ticker:null}}t.Grid=u,u.__name__=\"Grid\",u.init_Grid()},\n", - " function _(o,a,x,B,e){B(),e(\"Box\",o(318).Box),e(\"Column\",o(320).Column),e(\"GridBox\",o(321).GridBox),e(\"HTMLBox\",o(322).HTMLBox),e(\"LayoutDOM\",o(319).LayoutDOM),e(\"Panel\",o(323).Panel),e(\"Row\",o(324).Row),e(\"Spacer\",o(325).Spacer),e(\"Tabs\",o(326).Tabs),e(\"WidgetBox\",o(329).WidgetBox)},\n", - " function _(e,n,i,t,s){t();const o=e(319);class c extends o.LayoutDOMView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.children.change,(()=>this.rebuild()))}get child_models(){return this.model.children}}i.BoxView=c,c.__name__=\"BoxView\";class r extends o.LayoutDOM{constructor(e){super(e)}static init_Box(){this.define((({Number:e,Array:n,Ref:i})=>({children:[n(i(o.LayoutDOM)),[]],spacing:[e,0]})))}}i.Box=r,r.__name__=\"Box\",r.init_Box()},\n", - " function _(t,i,e,s,o){s();const l=t(53),n=t(20),h=t(43),a=t(19),r=t(8),_=t(22),d=t(122),c=t(240),u=t(221),m=t(44),p=t(249);class g extends c.DOMView{constructor(){super(...arguments),this._idle_notified=!1,this._offset_parent=null,this._viewport={}}initialize(){super.initialize(),this.el.style.position=this.is_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_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 d.build_views(this._child_views,this.child_models,{parent:this})}render(){super.render(),h.empty(this.el);const{background:t}=this.model;this.el.style.backgroundColor=null!=t?_.color2css(t):\"\",h.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_root?this.layout.sizing.margin:void 0;h.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()}build(){return this.assert_root(),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(),a.logger.debug(`layout computed in ${Date.now()-t} ms`),this.notify_finished()}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}notify_finished(){this.is_root?!this._idle_notified&&this.has_finished()&&null!=this.model.document&&(this._idle_notified=!0,this.model.document.notify_idle(this.model)):this.root.notify_finished()}_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:_,max_height:d}=this.model;null!=_&&(o.max_width=_),null!=d&&(o.max_height=d),\"auto\"==e&&null!=h&&null!=a?o.aspect=h/a:r.isNumber(e)&&(o.aspect=e);const{margin:c}=this.model;if(null!=c)if(r.isNumber(c))o.margin={top:c,right:c,bottom:c,left:c};else if(2==c.length){const[t,i]=c;o.margin={top:t,right:i,bottom:t,left:i}}else{const[t,i,e,s]=c;o.margin={top:t,right:i,bottom:e,left:s}}o.visible=this.model.visible;const{align:u}=this.model;return r.isArray(u)?[o.halign,o.valign]=u:o.halign=o.valign=u,o}_viewport_size(){return h.undisplayed(this.el,(()=>{let t=this.el;for(;t=t.parentElement;){if(t.classList.contains(m.root))continue;if(t==document.body){const{margin:{left:t,right:i,top:e,bottom:s}}=h.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}}=h.extents(t),{width:l,height:n}=t.getBoundingClientRect();let a=0;for(const i of t.children){const{height:t}=i.getBoundingClientRect(),{margin:{top:e,bottom:s}}=h.extents(i);a+=t+e+s}const r=Math.ceil(l-i-e),_=Math.ceil(n-s-o-a);if(r>0||_>0)return{width:r>0?r:void 0,height:_>0?_:void 0}}return{}}))}export(t,i=!0){const e=\"png\"==t?\"canvas\":\"svg\",s=new p.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=g,g.__name__=\"LayoutDOMView\";class f extends l.Model{constructor(t){super(t)}static init_LayoutDOM(){this.define((t=>{const{Boolean:i,Number:e,String:s,Auto:o,Color:l,Array:h,Tuple:a,Or:r,Null:_,Nullable:d}=t,c=a(e,e),m=a(e,e,e,e);return{width:[d(e),null],height:[d(e),null],min_width:[d(e),null],min_height:[d(e),null],max_width:[d(e),null],max_height:[d(e),null],margin:[d(r(e,c,m)),[0,0,0,0]],width_policy:[r(u.SizingPolicy,o),\"auto\"],height_policy:[r(u.SizingPolicy,o),\"auto\"],aspect_ratio:[r(e,o,_),null],sizing_mode:[d(n.SizingMode),null],visible:[i,!0],disabled:[i,!1],align:[r(n.Align,a(n.Align,n.Align)),\"start\"],background:[d(l),null],css_classes:[h(s),[]]}}))}}e.LayoutDOM=f,f.__name__=\"LayoutDOM\",f.init_LayoutDOM()},\n", - " function _(t,s,i,o,n){o();const e=t(318),l=t(223);class u extends e.BoxView{_update_layout(){const t=this.child_views.map((t=>t.layout));this.layout=new l.Column(t),this.layout.rows=this.model.rows,this.layout.spacing=[this.model.spacing,0],this.layout.set_sizing(this.box_sizing())}}i.ColumnView=u,u.__name__=\"ColumnView\";class a extends e.Box{constructor(t){super(t)}static init_Column(){this.prototype.default_view=u,this.define((({Any:t})=>({rows:[t,\"auto\"]})))}}i.Column=a,a.__name__=\"Column\",a.init_Column()},\n", - " function _(t,s,i,o,e){o();const n=t(319),l=t(223);class a extends n.LayoutDOMView{connect_signals(){super.connect_signals();const{children:t,rows:s,cols:i,spacing:o}=this.model.properties;this.on_change([t,s,i,o],(()=>this.rebuild()))}get child_models(){return this.model.children.map((([t])=>t))}_update_layout(){this.layout=new l.Grid,this.layout.rows=this.model.rows,this.layout.cols=this.model.cols,this.layout.spacing=this.model.spacing;for(const[t,s,i,o,e]of this.model.children){const n=this._child_views.get(t);this.layout.items.push({layout:n.layout,row:s,col:i,row_span:o,col_span:e})}this.layout.set_sizing(this.box_sizing())}}i.GridBoxView=a,a.__name__=\"GridBoxView\";class r extends n.LayoutDOM{constructor(t){super(t)}static init_GridBox(){this.prototype.default_view=a,this.define((({Any:t,Int:s,Number:i,Tuple:o,Array:e,Ref:l,Or:a,Opt:r})=>({children:[e(o(l(n.LayoutDOM),s,s,r(s),r(s))),[]],rows:[t,\"auto\"],cols:[t,\"auto\"],spacing:[a(i,o(i,i)),0]})))}}i.GridBox=r,r.__name__=\"GridBox\",r.init_GridBox()},\n", - " function _(t,e,o,s,n){s();const _=t(319),i=t(221);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,t,i,l){i();const a=e(53),o=e(319);class s extends a.Model{constructor(e){super(e)}static init_Panel(){this.define((({Boolean:e,String:n,Ref:t})=>({title:[n,\"\"],child:[t(o.LayoutDOM)],closable:[e,!1]})))}}t.Panel=s,s.__name__=\"Panel\",s.init_Panel()},\n", - " function _(t,s,i,o,e){o();const n=t(318),a=t(223);class _ extends n.BoxView{_update_layout(){const t=this.child_views.map((t=>t.layout));this.layout=new a.Row(t),this.layout.cols=this.model.cols,this.layout.spacing=[0,this.model.spacing],this.layout.set_sizing(this.box_sizing())}}i.RowView=_,_.__name__=\"RowView\";class l extends n.Box{constructor(t){super(t)}static init_Row(){this.prototype.default_view=_,this.define((({Any:t})=>({cols:[t,\"auto\"]})))}}i.Row=l,l.__name__=\"Row\",l.init_Row()},\n", - " function _(t,e,a,i,s){i();const _=t(319),c=t(221);class n extends _.LayoutDOMView{get child_models(){return[]}_update_layout(){this.layout=new c.LayoutItem,this.layout.set_sizing(this.box_sizing())}}a.SpacerView=n,n.__name__=\"SpacerView\";class o extends _.LayoutDOM{constructor(t){super(t)}static init_Spacer(){this.prototype.default_view=n}}a.Spacer=o,o.__name__=\"Spacer\",o.init_Spacer()},\n", - " function _(e,t,s,i,a){i();const l=e(1),h=e(221),o=e(43),c=e(9),d=e(20),r=e(319),n=e(323),_=l.__importStar(e(327)),p=_,b=l.__importStar(e(328)),u=b,m=l.__importStar(e(243)),v=m;class g extends r.LayoutDOMView{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(),b.default,m.default,_.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 h.ContentBox{_measure(e){const a=o.size(s),l=o.children(i).slice(0,3).map((e=>o.size(e))),{width:h,height:d}=super._measure(e);if(t){const t=a.width+c.sum(l.map((e=>e.width)));return{width:e.width!=1/0?e.width:t,height:d}}{const t=a.height+c.sum(l.map((e=>e.height)));return{width:h,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 a=1,l=1;switch(e){case\"above\":a-=1;break;case\"below\":a+=1;break;case\"left\":l-=1;break;case\"right\":l+=1}const d={layout:this.header,row:a,col:l},r=this.child_views.map((e=>({layout:e.layout,row:1,col:1})));this.layout=new h.Grid([d,...r]),this.layout.set_sizing(this.box_sizing())}update_position(){super.update_position(),this.header_el.style.position=\"absolute\",o.position(this.header_el,this.header.bbox);const e=this.model.tabs_location,t=\"above\"==e||\"below\"==e,s=o.size(this.scroll_el),i=o.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\",o.display(this.scroll_el)):(this.wrapper_el.style.maxWidth=\"\",o.undisplay(this.scroll_el))}else{const{height:e}=this.header.bbox;i.height>e?(this.wrapper_el.style.maxHeight=e-s.height+\"px\",o.display(this.scroll_el)):(this.wrapper_el.style.maxHeight=\"\",o.undisplay(this.scroll_el))}const{child_views:a}=this;for(const e of a)o.hide(e.el);const l=a[this.model.active];null!=l&&o.show(l.el)}render(){super.render();const{active:e}=this.model,t=this.model.tabs_location,s=\"above\"==t||\"below\"==t,i=this.model.tabs.map(((t,s)=>{const i=o.div({class:[p.tab,s==e?p.active:null]},t.title);if(i.addEventListener(\"click\",(e=>{e.target==e.currentTarget&&this.change_active(s)})),t.closable){const e=o.div({class:p.close});e.addEventListener(\"click\",(e=>{if(e.target==e.currentTarget){this.model.tabs=c.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 i}));this.headers_el=o.div({class:[p.headers]},i),this.wrapper_el=o.div({class:p.headers_wrapper},this.headers_el);const a=o.div({class:[u.btn,u.btn_default],disabled:\"\"},o.div({class:[v.caret,p.left]})),l=o.div({class:[u.btn,u.btn_default]},o.div({class:[v.caret,p.right]}));let h=0;const d=e=>()=>{const t=this.model.tabs.length;h=\"left\"==e?Math.max(h-1,0):Math.min(h+1,t-1),0==h?a.setAttribute(\"disabled\",\"\"):a.removeAttribute(\"disabled\"),h==t-1?l.setAttribute(\"disabled\",\"\"):l.removeAttribute(\"disabled\");const i=o.children(this.headers_el).slice(0,h).map((e=>e.getBoundingClientRect()));if(s){const e=-c.sum(i.map((e=>e.width)));this.headers_el.style.left=`${e}px`}else{const e=-c.sum(i.map((e=>e.height)));this.headers_el.style.top=`${e}px`}};a.addEventListener(\"click\",d(\"left\")),l.addEventListener(\"click\",d(\"right\")),this.scroll_el=o.div({class:u.btn_group},a,l),this.header_el=o.div({class:[p.tabs_header,p[t]]},this.scroll_el,this.wrapper_el),this.el.appendChild(this.header_el)}change_active(e){e!=this.model.active&&(this.model.active=e)}on_active_change(){const e=this.model.active,t=o.children(this.headers_el);for(const e of t)e.classList.remove(p.active);t[e].classList.add(p.active);const{child_views:s}=this;for(const e of s)o.hide(e.el);o.show(s[e].el)}}s.TabsView=g,g.__name__=\"TabsView\";class w extends r.LayoutDOM{constructor(e){super(e)}static init_Tabs(){this.prototype.default_view=g,this.define((({Int:e,Array:t,Ref:s})=>({tabs:[t(s(n.Panel)),[]],tabs_location:[d.Location,\"above\"],active:[e,0]})))}}s.Tabs=w,w.__name__=\"Tabs\",w.init_Tabs()},\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.default='.bk-root .bk-tabs-header{display:flex;display:-webkit-flex;flex-wrap:nowrap;-webkit-flex-wrap:nowrap;align-items:center;-webkit-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;-webkit-flex-grow:0;height:auto;padding:4px 4px;}.bk-root .bk-tabs-header .bk-headers-wrapper{flex-grow:1;-webkit-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;-webkit-flex-direction:row;}.bk-root .bk-tabs-header.bk-above .bk-headers,.bk-root .bk-tabs-header.bk-below .bk-headers{flex-direction:row;-webkit-flex-direction:row;}.bk-root .bk-tabs-header.bk-left,.bk-root .bk-tabs-header.bk-right{flex-direction:column;-webkit-flex-direction:column;}.bk-root .bk-tabs-header.bk-left .bk-headers,.bk-root .bk-tabs-header.bk-right .bk-headers{flex-direction:column;-webkit-flex-direction:column;}.bk-root .bk-tabs-header .bk-headers{position:relative;display:flex;display:-webkit-flex;flex-wrap:nowrap;-webkit-flex-wrap:nowrap;align-items:center;-webkit-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-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.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;display:-webkit-flex;flex-wrap:nowrap;-webkit-flex-wrap:nowrap;align-items:center;-webkit-align-items:center;flex-direction:row;-webkit-flex-direction:row;}.bk-root .bk-btn-group > .bk-btn{flex-grow:1;-webkit-flex-grow:1;}.bk-root .bk-btn-group > .bk-btn + .bk-btn{margin-left:-1px;}.bk-root .bk-btn-group > .bk-btn:first-child:not(:last-child){border-bottom-right-radius:0;border-top-right-radius:0;}.bk-root .bk-btn-group > .bk-btn:not(:first-child):last-child{border-bottom-left-radius:0;border-top-left-radius:0;}.bk-root .bk-btn-group > .bk-btn:not(:first-child):not(:last-child){border-radius:0;}.bk-root .bk-btn-group .bk-dropdown-toggle{flex:0 0 0;-webkit-flex:0 0 0;padding:6px 6px;}\"},\n", - " function _(t,e,i,o,n){o();const _=t(320);class s extends _.ColumnView{}i.WidgetBoxView=s,s.__name__=\"WidgetBoxView\";class d extends _.Column{constructor(t){super(t)}static init_WidgetBox(){this.prototype.default_view=s}}i.WidgetBox=d,d.__name__=\"WidgetBox\",d.init_WidgetBox()},\n", - " function _(p,o,t,a,n){a(),n(\"MapOptions\",p(331).MapOptions),n(\"GMapOptions\",p(331).GMapOptions),n(\"GMapPlot\",p(331).GMapPlot),n(\"Plot\",p(332).Plot)},\n", - " function _(t,i,n,e,a){e();const s=t(332),o=t(53),p=t(156),_=t(337);a(\"GMapPlotView\",_.GMapPlotView);class l extends o.Model{constructor(t){super(t)}static init_MapOptions(){this.define((({Int:t,Number:i})=>({lat:[i],lng:[i],zoom:[t,12]})))}}n.MapOptions=l,l.__name__=\"MapOptions\",l.init_MapOptions();class r extends l{constructor(t){super(t)}static init_GMapOptions(){this.define((({Boolean:t,Int:i,String:n})=>({map_type:[n,\"roadmap\"],scale_control:[t,!1],styles:[n],tilt:[i,45]})))}}n.GMapOptions=r,r.__name__=\"GMapOptions\",r.init_GMapOptions();class c extends s.Plot{constructor(t){super(t),this.use_map=!0}static init_GMapPlot(){this.prototype.default_view=_.GMapPlotView,this.define((({String:t,Ref:i})=>({map_options:[i(r)],api_key:[t],api_version:[t,\"3.43\"]}))),this.override({x_range:()=>new p.Range1d,y_range:()=>new p.Range1d})}}n.GMapPlot=c,c.__name__=\"GMapPlot\",c.init_GMapPlot()},\n", - " function _(e,t,i,n,r){n();const o=e(1),a=o.__importStar(e(48)),s=o.__importStar(e(18)),l=e(15),_=e(20),h=e(9),c=e(13),d=e(8),u=e(319),g=e(163),p=e(316),f=e(40),b=e(138),w=e(218),m=e(235),y=e(105),v=e(146),x=e(130),A=e(41),R=e(62),S=e(61),P=e(159),D=e(333);r(\"PlotView\",D.PlotView);class L extends u.LayoutDOM{constructor(e){super(e),this.use_map=!1}static init_Plot(){this.prototype.default_view=D.PlotView,this.mixins([[\"outline_\",a.Line],[\"background_\",a.Fill],[\"border_\",a.Fill]]),this.define((({Boolean:e,Number:t,String:i,Array:n,Dict:r,Or:o,Ref:a,Null:l,Nullable:h})=>({toolbar:[a(m.Toolbar),()=>new m.Toolbar],toolbar_location:[h(_.Location),\"right\"],toolbar_sticky:[e,!0],plot_width:[s.Alias(\"width\")],plot_height:[s.Alias(\"height\")],frame_width:[h(t),null],frame_height:[h(t),null],title:[o(a(b.Title),i,l),()=>new b.Title({text:\"\"})],title_location:[h(_.Location),\"above\"],above:[n(o(a(f.Annotation),a(g.Axis))),[]],below:[n(o(a(f.Annotation),a(g.Axis))),[]],left:[n(o(a(f.Annotation),a(g.Axis))),[]],right:[n(o(a(f.Annotation),a(g.Axis))),[]],center:[n(o(a(f.Annotation),a(p.Grid))),[]],renderers:[n(a(A.Renderer)),[]],x_range:[a(y.Range),()=>new P.DataRange1d],extra_x_ranges:[r(a(y.Range)),{}],y_range:[a(y.Range),()=>new P.DataRange1d],extra_y_ranges:[r(a(y.Range)),{}],x_scale:[a(v.Scale),()=>new w.LinearScale],y_scale:[a(v.Scale),()=>new w.LinearScale],lod_factor:[t,10],lod_interval:[t,300],lod_threshold:[h(t),2e3],lod_timeout:[t,500],hidpi:[e,!0],output_backend:[_.OutputBackend,\"canvas\"],min_border:[h(t),5],min_border_top:[h(t),null],min_border_left:[h(t),null],min_border_bottom:[h(t),null],min_border_right:[h(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:[_.ResetPolicy,\"standard\"]}))),this.override({width:600,height:600,outline_line_color:\"#e5e5e5\",border_fill_color:\"#ffffff\",background_fill_color:\"#ffffff\"})}_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 l.Signal0(this,\"reset\");for(const e of c.values(this.extra_x_ranges).concat(this.x_range)){let t=e.plots;d.isArray(t)&&(t=t.concat(this),e.setv({plots:t},{silent:!0}))}for(const e of c.values(this.extra_y_ranges).concat(this.y_range)){let t=e.plots;d.isArray(t)&&(t=t.concat(this),e.setv({plots:t},{silent:!0}))}}add_layout(e,t=\"center\"){const i=this.properties[t].get_value();this.setv({[t]:[...i,e]})}remove_layout(e){const t=t=>{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 x.ColumnDataSource,i={}){const n=new S.GlyphRenderer(Object.assign(Object.assign({},i),{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:i,right:n}=this;return h.concat([e,t,i,n])}}i.Plot=L,L.__name__=\"Plot\",L.init_Plot()},\n", - " function _(e,t,i,s,a){s();const n=e(1),o=e(144),l=e(262),r=e(319),_=e(40),h=e(138),d=e(163),u=e(234),c=e(264),p=e(122),v=e(45),b=e(19),g=e(334),m=e(8),w=e(9),y=e(249),f=e(222),x=e(225),z=e(223),k=e(140),q=e(99),M=e(335),V=e(336),P=e(28);class R extends r.LayoutDOMView{constructor(){super(...arguments),this._outer_bbox=new q.BBox,this._inner_bbox=new q.BBox,this._needs_paint=!0,this._needs_layout=!1,this._invalidated_painters=new Set,this._invalidate_all=!0}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\")}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(m.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(){p.remove_views(this.renderer_views),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._range_manager=new M.RangeManager(this),this._state_manager=new V.StateManager(this,this._initial_state),this.throttled_paint=g.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 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),b.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 x.BorderLayout,this.layout.set_sizing(this.box_sizing());const n=w.copy(this.model.above),o=w.copy(this.model.below),l=w.copy(this.model.left),r=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:b}=this.model;if(null!=v&&null!=b){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 k.Panel(e),null===(i=s.update_layout)||void 0===i||i.call(s),s.layout},y=(e,t)=>{const i=\"above\"==e||\"below\"==e,s=[];for(const a of t)if(m.isArray(a)){const t=a.map((t=>{const s=g(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 z.Row(t),n.set_sizing({width_policy:\"max\",height_policy:\"min\"})):(n=new z.Column(t),n.set_sizing({width_policy:\"min\",height_policy:\"max\"})),n.absolute=!0,s.push(n)}else s.push(g(e,a));return s},q=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:q,top:null!==(i=this.model.min_border_top)&&void 0!==i?i:q,right:null!==(s=this.model.min_border_right)&&void 0!==s?s:q,bottom:null!==(a=this.model.min_border_bottom)&&void 0!==a?a:q};const M=new f.NodeLayout,V=new f.VStack,P=new f.VStack,R=new f.HStack,O=new f.HStack;M.absolute=!0,V.absolute=!0,P.absolute=!0,R.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:S,frame_height:j}=this.model;M.set_sizing(Object.assign(Object.assign({},null!=S?{width_policy:\"fixed\",width:S}:{width_policy:\"fit\"}),null!=j?{height_policy:\"fixed\",height:j}:{height_policy:\"fit\"})),M.on_resize((e=>this.frame.set_geometry(e))),V.children=w.reversed(y(\"above\",n)),P.children=y(\"below\",o),R.children=w.reversed(y(\"left\",l)),O.children=y(\"right\",r),V.set_sizing({width_policy:\"fit\",height_policy:\"min\"}),P.set_sizing({width_policy:\"fit\",height_policy:\"min\"}),R.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=V,this.layout.bottom_panel=P,this.layout.left_panel=R,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)}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 p.build_views(this.renderer_views,this.computed_renderers,{parent:this})}async build_tool_views(){const e=this.model.toolbar.tools;(await 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(){var e;if(this.is_paused||!this.model.visible)return;b.logger.trace(`PlotView.paint() for ${this.model.id}`);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||P.settings.wireframe)&&(o.prepare(),this._paint_levels(o.ctx,\"overlay\",a,!1),P.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 y.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=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=R,R.__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,s,a){s();const o=t(159),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:s}=this.frame;if(null==t){for(const[,t]of e)t.reset();for(const[,t]of s)t.reset();this.update_dataranges()}else{const a=[];for(const[n,s]of e)a.push([s,t.xrs.get(n)]);for(const[n,e]of s)a.push([e,t.yrs.get(n)]);(null==n?void 0:n.scrolling)&&this._update_ranges_together(a),this._update_ranges_individually(a,n)}}reset(){this.update(null)}update_dataranges(){const t=new Map,n=new Map;let e=!1;for(const[,t]of this.frame.x_ranges)t instanceof o.DataRange1d&&\"log\"==t.scale_hint&&(e=!0);for(const[,t]of this.frame.y_ranges)t instanceof o.DataRange1d&&\"log\"==t.scale_hint&&(e=!0);for(const s of this.parent.model.data_renderers){const a=this.parent.renderer_view(s);if(null==a)continue;const o=a.glyph_view.bounds();if(null!=o&&t.set(s,o),e){const t=a.glyph_view.log_bounds();null!=t&&n.set(s,t)}}let s=!1,a=!1;const{width:l,height:i}=this.frame.bbox;let d;!1!==this.parent.model.match_aspect&&0!=l&&0!=i&&(d=1/this.parent.model.aspect_scale*(l/i));for(const[,e]of this.frame.x_ranges){if(e instanceof o.DataRange1d){const a=\"log\"==e.scale_hint?n:t;e.update(a,0,this.parent.model,d),e.follow&&(s=!0)}null!=e.bounds&&(a=!0)}for(const[,e]of this.frame.y_ranges){if(e instanceof o.DataRange1d){const a=\"log\"==e.scale_hint?n:t;e.update(a,1,this.parent.model,d),e.follow&&(s=!0)}null!=e.bounds&&(a=!0)}if(s&&a){r.logger.warn(\"Follow enabled so bounds are unset.\");for(const[,t]of this.frame.x_ranges)t.bounds=null;for(const[,t]of this.frame.y_ranges)t.bounds=null}this.invalidate_dataranges=!1}compute_initial(){let t=!0;const{x_ranges:n,y_ranges:e}=this.frame,s=new Map,a=new Map;for(const[e,a]of n){const{start:n,end:o}=a;if(null==n||null==o||isNaN(n+o)){t=!1;break}s.set(e,{start:n,end:o})}if(t)for(const[n,s]of e){const{start:e,end:o}=s;if(null==e||null==o||isNaN(e+o)){t=!1;break}a.set(n,{start:e,end:o})}return t?{xrs:s,yrs:a}:(r.logger.warn(\"could not set initial ranges\"),null)}_update_ranges_together(t){let n=1;for(const[e,s]of t)n=Math.min(n,this._get_weight_to_constrain_interval(e,s));if(n<1)for(const[e,s]of t)s.start=n*s.start+(1-n)*e.start,s.end=n*s.end+(1-n)*e.end}_update_ranges_individually(t,n){const e=!!(null==n?void 0:n.panning),s=!!(null==n?void 0:n.scrolling);let a=!1;for(const[n,o]of t){if(!s){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&&(a=!0,o.end=t,(e||s)&&(o.start=t+l)),null!=r&&r<=o.start&&(a=!0,o.start=r,(e||s)&&(o.end=r-l))):(null!=t&&t>=o.start&&(a=!0,o.start=t,(e||s)&&(o.end=t+l)),null!=r&&r<=o.end&&(a=!0,o.end=r,(e||s)&&(o.start=r-l)))}}if(!(s&&a&&(null==n?void 0:n.maintain_focus)))for(const[n,e]of t)n.have_updated_interactively=!0,n.start==e.start&&n.end==e.end||n.setv(e)}_get_weight_to_constrain_interval(t,n){const{min_interval:e}=t;let{max_interval:s}=t;if(null!=t.bounds&&\"auto\"!=t.bounds){const[n,e]=t.bounds;if(null!=n&&null!=e){const t=Math.abs(e-n);s=null!=s?Math.min(s,t):t}}let a=1;if(null!=e||null!=s){const o=Math.abs(t.end-t.start),r=Math.abs(n.end-n.start);null!=e&&e>0&&r0&&r>s&&(a=(s-o)/(r-o)),a=Math.max(0,Math.min(1,a))}return a}}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;null!=i.range&&this.parent.update_range(i.range),null!=i.selection&&this.parent.update_selection(i.selection)}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(){this.can_undo&&(this.index-=1,this._do_state_change(this.index),this.changed.emit())}redo(){this.can_redo&&(this.index+=1,this._do_state_change(this.index),this.changed.emit())}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(){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(),i=o+s;if(i>=2){this.map.setZoom(i);const[t,e,,]=this._get_projected_bounds();e-t<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=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){const e=this.map.getCenter().toJSON();e[t]=this.model.map_options[t],this.map.setCenter(e),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=_.color2css(this.model.border_fill_color),t.fill())}}s.GMapPlotView=d,d.__name__=\"GMapPlotView\"},\n", - " function _(t,_,n,o,r){o();t(1).__exportStar(t(169),n)},\n", - " function _(e,r,d,n,R){n(),R(\"GlyphRenderer\",e(61).GlyphRenderer),R(\"GraphRenderer\",e(123).GraphRenderer),R(\"GuideRenderer\",e(164).GuideRenderer),R(\"Renderer\",e(41).Renderer)},\n", - " function _(e,t,n,o,c){o();e(1).__exportStar(e(129),n),c(\"Selection\",e(59).Selection)},\n", - " function _(a,e,S,o,r){o(),r(\"ServerSentDataSource\",a(342).ServerSentDataSource),r(\"AjaxDataSource\",a(344).AjaxDataSource),r(\"ColumnDataSource\",a(130).ColumnDataSource),r(\"ColumnarDataSource\",a(57).ColumnarDataSource),r(\"CDSView\",a(120).CDSView),r(\"DataSource\",a(58).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 _(t,e,a,n,s){n();const r=t(130),i=t(20);class l extends r.ColumnDataSource{constructor(t){super(t)}get_column(t){const e=this.data[t];return null!=e?e:[]}get_length(){var t;return null!==(t=super.get_length())&&void 0!==t?t:0}initialize(){super.initialize(),this.setup()}load_data(t,e,a){const{adapter:n}=this;let s;switch(s=null!=n?n.execute(this,{response:t}):t,e){case\"replace\":this.data=s;break;case\"append\":{const t=this.data;for(const e of this.columns()){const n=Array.from(t[e]),r=Array.from(s[e]),i=n.concat(r);s[e]=null!=a?i.slice(-a):i}this.data=s;break}}}static init_WebDataSource(){this.define((({Any:t,Int:e,String:a,Nullable:n})=>({max_size:[n(e),null],mode:[i.UpdateMode,\"replace\"],adapter:[n(t),null],data_url:[a]})))}}a.WebDataSource=l,l.__name__=\"WebDataSource\",l.init_WebDataSource()},\n", - " function _(t,e,i,s,a){s();const n=t(343),r=t(20),o=t(19),l=t(13);class d extends n.WebDataSource{constructor(t){super(t),this.interval=null,this.initialized=!1}static init_AjaxDataSource(){this.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:[r.HTTPMethod,\"POST\"],if_modified:[t,!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 l.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){o.logger.error(`Failed to fetch JSON from ${this.data_url} with code ${t.status}`)}}i.AjaxDataSource=d,d.__name__=\"AjaxDataSource\",d.init_AjaxDataSource()},\n", - " function _(e,t,o,r,n){r();const s=e(57),a=e(19),i=e(9),l=e(13);function c(e){return null!=e?e:NaN}const{hasOwnProperty:_}=Object.prototype;class g extends s.ColumnarDataSource{constructor(e){super(e)}static init_GeoJSONDataSource(){this.define((({String:e})=>({geojson:[e]}))),this.internal((({Dict:e,Arrayable:t})=>({data:[e(t),{}]})))}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 i.range(0,e).map((e=>[]))}_get_new_nan_array(e){return i.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 l.entries(s))_.call(t,e)||(t[e]=this._get_new_nan_array(r)),t[e][o]=c(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]=c(s);break}case\"LineString\":{const{coordinates:r}=e;for(let e=0;e1&&a.logger.warn(\"Bokeh does not support Polygons with holes in, only exterior ring used.\");const r=e.coordinates[0];for(let e=0;e1&&a.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({use_latlon:[e,!1]})))}get_image_url(e,t,r){const i=this.string_lookup_replace(this.url,this.extra_url_vars);let o,l,n,s;return this.use_latlon?[l,s,o,n]=this.get_tile_geographic_bounds(e,t,r):[l,s,o,n]=this.get_tile_meter_bounds(e,t,r),i.replace(\"{XMIN}\",l.toString()).replace(\"{YMIN}\",s.toString()).replace(\"{XMAX}\",o.toString()).replace(\"{YMAX}\",n.toString())}}r.BBoxTileSource=n,n.__name__=\"BBoxTileSource\",n.init_BBoxTileSource()},\n", - " function _(t,e,i,_,s){_();const r=t(349),o=t(9),n=t(350);class l extends r.TileSource{constructor(t){super(t)}static init_MercatorTileSource(){this.define((({Boolean:t})=>({snap_to_zoom:[t,!1],wrap_around:[t,!0]}))),this.override({x_origin_offset:20037508.34,y_origin_offset:20037508.34,initial_resolution:156543.03392804097})}initialize(){super.initialize(),this._resolutions=o.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=l,l.__name__=\"MercatorTileSource\",l.init_MercatorTileSource()},\n", - " function _(e,t,r,i,n){i();const l=e(53),s=e(13);class a extends l.Model{constructor(e){super(e)}static init_TileSource(){this.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]})))}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 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,s=(n-r)/2+r,a=(l-i)/2+i;e.sort((function(e,t){return Math.sqrt((s-e[0])**2+(a-e[1])**2)-Math.sqrt((s-t[0])**2+(a-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=a,a.__name__=\"TileSource\",a.init_TileSource()},\n", - " function _(t,e,r,n,o){n();const c=t(65);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),a=t(349),h=t(353),r=t(41),o=t(156),l=t(43),d=t(296),m=t(9),c=t(8),p=n.__importStar(t(354));class g extends r.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()))}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&&l.removeElement(this.attribution_el);const{attribution:t}=this.model.tile_source;if(c.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=l.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 o.Range1d&&(this.x_range.reset_start=e[0],this.x_range.reset_end=e[2]),this.y_range instanceof o.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,a,h]=this.model.tile_source.normalize_xyz(t,e,i),r={img:void 0,tile_coords:[t,e,i],normalized_coords:[n,a,h],quadkey:this.model.tile_source.tile_xyz_to_quadkey(t,e,i),cache_key:this.model.tile_source.tile_xyz_to_key(t,e,i),bounds:s,loaded:!1,finished:!1,x_coord:s[0],y_coord:s[3]},o=this.model.tile_source.get_image_url(n,a,h);new d.ImageLoader(o,{loaded:t=>{Object.assign(r,{img:t,loaded:!0}),_?(r.finished=!0,this.notify_finished()):this.request_render()},failed(){r.finished=!0}}),this.model.tile_source.tiles.set(r.cache_key,r),this._tiles.push(r)}_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,h=t,r=i,o=this.map_canvas.getImageSmoothingEnabled();this.map_canvas.setImageSmoothingEnabled(this.model.smoothing),this.map_canvas.drawImage(e.img,h,r,n,a),this.map_canvas.setImageSmoothingEnabled(o),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,h=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 o=t.get_tiles_by_extent(s,h),l=[],d=[],c=[],p=[];for(const e of o){const[i,s,n]=e,a=t.tile_xyz_to_key(i,s,n),h=t.tiles.get(a);if(null!=h&&h.loaded)d.push(a);else if(this.model.render_parents){const[e,a,h]=t.get_closest_parent_by_tile_xyz(i,s,n),r=t.tile_xyz_to_key(e,a,h),o=t.tiles.get(r);if(null!=o&&o.loaded&&!m.includes(c,r)&&c.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)&&p.push(e)}}}null==h&&l.push(e)}this._render_tiles(c),this._render_tiles(p),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 u extends r.Renderer{constructor(t){super(t)}static init_TileRenderer(){this.prototype.default_view=g,this.define((({Boolean:t,Number:e,Ref:i})=>({alpha:[e,1],smoothing:[t,!0],tile_source:[i(a.TileSource),()=>new h.WMTSTileSource],render_parents:[t,!0]}))),this.override({level:\"image\"})}}i.TileRenderer=u,u.__name__=\"TileRenderer\",u.init_TileRenderer()},\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){c();const a=t(358),i=t(34);class r extends a.Texture{constructor(t){super(t)}static init_CanvasTexture(){this.define((({String:t})=>({code:[t]})))}get func(){const t=i.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=r,r.__name__=\"CanvasTexture\",r.init_CanvasTexture()},\n", - " function _(e,t,i,n,r){n();const s=e(53),u=e(20);class o extends s.Model{constructor(e){super(e)}static init_Texture(){this.define((()=>({repetition:[u.TextureRepetition,\"repeat\"]})))}}i.Texture=o,o.__name__=\"Texture\",o.init_Texture()},\n", - " function _(e,t,i,r,n){r();const a=e(358),s=e(296);class u extends a.Texture{constructor(e){super(e)}static init_ImageURLTexture(){this.define((({String:e})=>({url:[e]})))}initialize(){super.initialize(),this._loader=new s.ImageLoader(this.url)}get_pattern(e,t,i){const{_loader:r}=this;return this._loader.finished?r.image:r.promise}}i.ImageURLTexture=u,u.__name__=\"ImageURLTexture\",u.init_ImageURLTexture()},\n", - " function _(o,l,T,e,t){e(),t(\"ActionTool\",o(251).ActionTool),t(\"CustomAction\",o(361).CustomAction),t(\"HelpTool\",o(252).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(238).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(237).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(247).InspectTool),t(\"Tool\",o(236).Tool),t(\"ToolProxy\",o(392).ToolProxy),t(\"Toolbar\",o(235).Toolbar),t(\"ToolbarBase\",o(248).ToolbarBase),t(\"ProxyToolbar\",o(393).ProxyToolbar),t(\"ToolbarBox\",o(393).ToolbarBox)},\n", - " function _(t,o,i,s,n){s();const e=t(251);class c extends e.ActionToolButtonView{css_classes(){return super.css_classes().concat(\"bk-toolbar-button-custom-action\")}}i.CustomActionButtonView=c,c.__name__=\"CustomActionButtonView\";class u extends e.ActionToolView{doit(){var t;null===(t=this.model.callback)||void 0===t||t.execute(this.model)}}i.CustomActionView=u,u.__name__=\"CustomActionView\";class l extends e.ActionTool{constructor(t){super(t),this.tool_name=\"Custom Action\",this.button_view=c}static init_CustomAction(){this.prototype.default_view=u,this.define((({Any:t,String:o,Nullable:i})=>({callback:[i(t)],icon:[o]}))),this.override({description:\"Perform a Custom Action\"})}}i.CustomAction=l,l.__name__=\"CustomAction\",l.init_CustomAction()},\n", - " function _(o,e,t,i,s){i();const n=o(251),d=o(242);class l extends n.ActionToolView{connect_signals(){super.connect_signals(),this.connect(this.plot_view.state.changed,(()=>this.model.disabled=!this.plot_view.state.can_redo))}doit(){this.plot_view.state.redo()}}t.RedoToolView=l,l.__name__=\"RedoToolView\";class _ extends n.ActionTool{constructor(o){super(o),this.tool_name=\"Redo\",this.icon=d.tool_icon_redo}static init_RedoTool(){this.prototype.default_view=l,this.override({disabled:!0}),this.register_alias(\"redo\",(()=>new _))}}t.RedoTool=_,_.__name__=\"RedoTool\",_.init_RedoTool()},\n", - " function _(e,t,o,s,i){s();const _=e(251),n=e(242);class l extends _.ActionToolView{doit(){this.plot_view.reset()}}o.ResetToolView=l,l.__name__=\"ResetToolView\";class c extends _.ActionTool{constructor(e){super(e),this.tool_name=\"Reset\",this.icon=n.tool_icon_reset}static init_ResetTool(){this.prototype.default_view=l,this.register_alias(\"reset\",(()=>new c))}}o.ResetTool=c,c.__name__=\"ResetTool\",c.init_ResetTool()},\n", - " function _(o,e,t,a,i){a();const n=o(251),s=o(242);class c extends n.ActionToolView{async copy(){const o=await this.plot_view.to_blob(),e=new ClipboardItem({[o.type]:o});await navigator.clipboard.write([e])}async save(o){const e=await this.plot_view.to_blob(),t=document.createElement(\"a\");t.href=URL.createObjectURL(e),t.download=o,t.target=\"_blank\",t.dispatchEvent(new MouseEvent(\"click\"))}doit(o=\"save\"){switch(o){case\"save\":this.save(\"bokeh_plot\");break;case\"copy\":this.copy()}}}t.SaveToolView=c,c.__name__=\"SaveToolView\";class l extends n.ActionTool{constructor(o){super(o),this.tool_name=\"Save\",this.icon=s.tool_icon_save}static init_SaveTool(){this.prototype.default_view=c,this.register_alias(\"save\",(()=>new l))}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=l,l.__name__=\"SaveTool\",l.init_SaveTool()},\n", - " function _(o,t,n,i,e){i();const s=o(251),d=o(242);class l extends s.ActionToolView{connect_signals(){super.connect_signals(),this.connect(this.plot_view.state.changed,(()=>this.model.disabled=!this.plot_view.state.can_undo))}doit(){this.plot_view.state.undo()}}n.UndoToolView=l,l.__name__=\"UndoToolView\";class _ extends s.ActionTool{constructor(o){super(o),this.tool_name=\"Undo\",this.icon=d.tool_icon_undo}static init_UndoTool(){this.prototype.default_view=l,this.override({disabled:!0}),this.register_alias(\"undo\",(()=>new _))}}n.UndoTool=_,_.__name__=\"UndoTool\",_.init_UndoTool()},\n", - " function _(o,i,n,s,e){s();const t=o(367),_=o(242);class m extends t.ZoomBaseToolView{}n.ZoomInToolView=m,m.__name__=\"ZoomInToolView\";class l extends t.ZoomBaseTool{constructor(o){super(o),this.sign=1,this.tool_name=\"Zoom In\",this.icon=_.tool_icon_zoom_in}static init_ZoomInTool(){this.prototype.default_view=m,this.register_alias(\"zoom_in\",(()=>new l({dimensions:\"both\"}))),this.register_alias(\"xzoom_in\",(()=>new l({dimensions:\"width\"}))),this.register_alias(\"yzoom_in\",(()=>new l({dimensions:\"height\"})))}}n.ZoomInTool=l,l.__name__=\"ZoomInTool\",l.init_ZoomInTool()},\n", - " function _(o,t,e,i,s){i();const n=o(251),l=o(20),a=o(368);class _ extends n.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=a.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}),null===(o=this.model.document)||void 0===o||o.interactive_start(this.plot_model)}}e.ZoomBaseToolView=_,_.__name__=\"ZoomBaseToolView\";class m extends n.ActionTool{constructor(o){super(o)}static init_ZoomBaseTool(){this.define((({Percent:o})=>({factor:[o,.1],dimensions:[l.Dimensions,\"both\"]})))}get tooltip(){return this._get_dim_tooltip(this.dimensions)}}e.ZoomBaseTool=m,m.__name__=\"ZoomBaseTool\",m.init_ZoomBaseTool()},\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=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,t,i,s,e){s();const n=o(367),_=o(242);class m extends n.ZoomBaseToolView{}i.ZoomOutToolView=m,m.__name__=\"ZoomOutToolView\";class l extends n.ZoomBaseTool{constructor(o){super(o),this.sign=-1,this.tool_name=\"Zoom Out\",this.icon=_.tool_icon_zoom_out}static init_ZoomOutTool(){this.prototype.default_view=m,this.register_alias(\"zoom_out\",(()=>new l({dimensions:\"both\"}))),this.register_alias(\"xzoom_out\",(()=>new l({dimensions:\"width\"}))),this.register_alias(\"yzoom_out\",(()=>new l({dimensions:\"height\"})))}}i.ZoomOutTool=l,l.__name__=\"ZoomOutTool\",l.init_ZoomOutTool()},\n", - " function _(e,t,s,o,n){o();const i=e(9),r=e(8),c=e(11),a=e(61),_=e(237);class l extends _.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 c.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(a.GlyphRenderer)),[]]})))}get computed_icon(){var e;return null!==(e=this.custom_icon)&&void 0!==e?e:this.icon}}s.EditTool=d,d.__name__=\"EditTool\",d.init_EditTool()},\n", - " function _(e,t,s,i,_){i();const o=e(43),n=e(20),a=e(370),d=e(242);class l extends a.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===o.Keys.Backspace)this._delete_selected(t);else if(e.keyCode==o.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],[x,y]=[d.x.field,d.y.field],[w,v]=[d.width.field,d.height.field];if(_)this._pop_glyphs(l,this.model.num_objects),x&&l.get_array(x).push(c),y&&l.get_array(y).push(m),w&&l.get_array(w).push(f),v&&l.get_array(v).push(b),this._pad_empty_columns(l,[x,y,w,v]);else{const e=l.data[x].length-1;x&&(l.data[x][e]=c),y&&(l.data[y][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=l,l.__name__=\"BoxEditToolView\";class r extends a.EditTool{constructor(e){super(e),this.tool_name=\"Box Edit Tool\",this.icon=d.tool_icon_box_edit,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=1}static init_BoxEditTool(){this.prototype.default_view=l,this.define((({Int:e})=>({dimensions:[n.Dimensions,\"both\"],num_objects:[e,0]})))}}s.BoxEditTool=r,r.__name__=\"BoxEditTool\",r.init_BoxEditTool()},\n", - " function _(e,t,a,s,r){s();const _=e(43),i=e(8),o=e(370),d=e(242);class n extends o.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[_,o]=r,d=s.data_source,n=s.glyph,[h,l]=[n.xs.field,n.ys.field];if(\"new\"==t)this._pop_glyphs(d,this.model.num_objects),h&&d.get_array(h).push([_]),l&&d.get_array(l).push([o]),this._pad_empty_columns(d,[h,l]);else if(\"add\"==t){if(h){const e=d.data[h].length-1;let t=d.get_array(h)[e];i.isArray(t)||(t=Array.from(t),d.data[h][e]=t),t.push(_)}if(l){const e=d.data[l].length-1;let t=d.get_array(l)[e];i.isArray(t)||(t=Array.from(t),d.data[l][e]=t),t.push(o)}}this._emit_cds_changes(d,!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===_.Keys.Esc?t.data_source.selection_manager.clear():e.keyCode===_.Keys.Backspace&&this._delete_selected(t)}}a.FreehandDrawToolView=n,n.__name__=\"FreehandDrawToolView\";class h extends o.EditTool{constructor(e){super(e),this.tool_name=\"Freehand Draw Tool\",this.icon=d.tool_icon_freehand_draw,this.event_type=[\"pan\",\"tap\"],this.default_order=3}static init_FreehandDrawTool(){this.prototype.default_view=n,this.define((({Int:e})=>({num_objects:[e,0]}))),this.register_alias(\"freehand_draw\",(()=>new h))}}a.FreehandDrawTool=h,h.__name__=\"FreehandDrawTool\",h.init_FreehandDrawTool()},\n", - " function _(e,t,s,o,i){o();const a=e(43),n=e(370),_=e(242);class r extends n.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,i=t.data_source,[a,n]=[o.x.field,o.y.field],[_,r]=s;this._pop_glyphs(i,this.model.num_objects),a&&i.get_array(a).push(_),n&&i.get_array(n).push(r),this._pad_empty_columns(i,[a,n]),i.change.emit(),i.data=i.data,i.properties.data.change.emit()}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)e.keyCode===a.Keys.Backspace?this._delete_selected(t):e.keyCode==a.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=r,r.__name__=\"PointDrawToolView\";class d extends n.EditTool{constructor(e){super(e),this.tool_name=\"Point Draw Tool\",this.icon=_.tool_icon_point_draw,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=2}static init_PointDrawTool(){this.prototype.default_view=r,this.define((({Boolean:e,Int:t})=>({add:[e,!0],drag:[e,!0],num_objects:[t,0]})))}}s.PointDrawTool=d,d.__name__=\"PointDrawTool\",d.init_PointDrawTool()},\n", - " function _(e,t,s,i,a){i();const o=e(43),r=e(8),n=e(375),_=e(242);class d extends n.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[o,n]=this._snap_to_vertex(e,...a),_=i.data_source,d=i.glyph,[l,h]=[d.xs.field,d.ys.field];if(\"new\"==t)this._pop_glyphs(_,this.model.num_objects),l&&_.get_array(l).push([o,o]),h&&_.get_array(h).push([n,n]),this._pad_empty_columns(_,[l,h]);else if(\"edit\"==t){if(l){const e=_.data[l][_.data[l].length-1];e[e.length-1]=o}if(h){const e=_.data[h][_.data[h].length-1];e[e.length-1]=n}}else if(\"add\"==t){if(l){const e=_.data[l].length-1;let t=_.get_array(l)[e];const s=t[t.length-1];t[t.length-1]=o,r.isArray(t)||(t=Array.from(t),_.data[l][e]=t),t.push(s)}if(h){const e=_.data[h].length-1;let t=_.get_array(h)[e];const s=t[t.length-1];t[t.length-1]=n,r.isArray(t)||(t=Array.from(t),_.data[h][e]=t),t.push(s)}}this._emit_cds_changes(_,!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=d,d.__name__=\"PolyDrawToolView\";class l extends n.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}static init_PolyDrawTool(){this.prototype.default_view=d,this.define((({Boolean:e,Int:t})=>({drag:[e,!0],num_objects:[t,0]})))}}s.PolyDrawTool=l,l.__name__=\"PolyDrawTool\",l.init_PolyDrawTool()},\n", - " function _(e,t,r,o,s){o();const i=e(8),l=e(370);class _ extends l.EditToolView{_set_vertices(e,t){const r=this.model.vertex_renderer.glyph,o=this.model.vertex_renderer.data_source,[s,l]=[r.x.field,r.y.field];s&&(i.isArray(e)?o.data[s]=e:r.x={value:e}),l&&(i.isArray(t)?o.data[l]=t:r.y={value:t}),this._emit_cds_changes(o,!0,!0,!1)}_hide_vertices(){this._set_vertices([],[])}_snap_to_vertex(e,t,r){if(this.model.vertex_renderer){const o=this._select_event(e,\"replace\",[this.model.vertex_renderer]),s=this.model.vertex_renderer.data_source,i=this.model.vertex_renderer.glyph,[l,_]=[i.x.field,i.y.field];if(o.length){const e=s.selected.indices[0];l&&(t=s.data[l][e]),_&&(r=s.data[_][e]),s.selection_manager.clear()}}return[t,r]}}r.PolyToolView=_,_.__name__=\"PolyToolView\";class d extends l.EditTool{constructor(e){super(e)}static init_PolyTool(){this.define((({AnyRef:e})=>({vertex_renderer:[e()]})))}}r.PolyTool=d,d.__name__=\"PolyTool\",d.init_PolyTool()},\n", - " function _(e,t,s,r,i){r();const _=e(43),d=e(8),n=e(375),l=e(242);class a extends n.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 n,l;i&&null!=r?(n=s.data[i][r],d.isArray(n)||(s.data[i][r]=n=Array.from(n))):n=t.xs.value,_&&null!=r?(l=s.data[_][r],d.isArray(l)||(s.data[_][r]=l=Array.from(l))):l=t.ys.value,this._selected_renderer=e,this._set_vertices(n,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===_.Keys.Backspace?(this._delete_selected(s),this._selected_renderer&&this._emit_cds_changes(this._selected_renderer.data_source)):e.keyCode==_.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=a,a.__name__=\"PolyEditToolView\";class c extends n.PolyTool{constructor(e){super(e),this.tool_name=\"Poly Edit Tool\",this.icon=l.tool_icon_poly_edit,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=4}static init_PolyEditTool(){this.prototype.default_view=a}}s.PolyEditTool=c,c.__name__=\"PolyEditTool\",c.init_PolyEditTool()},\n", - " function _(e,t,o,s,i){s();const l=e(378),n=e(136),_=e(20),c=e(242);class h extends l.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=h,h.__name__=\"BoxSelectToolView\";const r=()=>new n.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 a extends l.SelectTool{constructor(e){super(e),this.tool_name=\"Box Select\",this.icon=c.tool_icon_box_select,this.event_type=\"pan\",this.default_order=30}static init_BoxSelectTool(){this.prototype.default_view=h,this.define((({Boolean:e,Ref:t})=>({dimensions:[_.Dimensions,\"both\"],select_every_mousemove:[e,!1],overlay:[t(n.BoxAnnotation),r],origin:[_.BoxOrigin,\"corner\"]}))),this.register_alias(\"box_select\",(()=>new a)),this.register_alias(\"xbox_select\",(()=>new a({dimensions:\"width\"}))),this.register_alias(\"ybox_select\",(()=>new a({dimensions:\"height\"})))}get tooltip(){return this._get_dim_tooltip(this.dimensions)}}o.BoxSelectTool=a,a.__name__=\"BoxSelectTool\",a.init_BoxSelectTool()},\n", - " function _(e,t,s,n,o){n();const r=e(237),c=e(61),i=e(123),l=e(62),a=e(161),_=e(20),d=e(43),h=e(264),p=e(15),u=e(11);class m extends r.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 a.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 c.GlyphRenderer)n=s.data_source;else{if(!(s instanceof i.GraphRenderer))continue;n=s.node_renderer.data_source}const o=null!==(e=t.get(n))&&void 0!==e?e:[];t.set(n,[...o,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 u.unreachable():this.model.mode}_keyup(e){e.keyCode==d.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[,o]of n){const n=o[0].get_selection_manager(),r=[];for(const e of o){const t=this.plot_view.renderer_view(e);null!=t&&r.push(t)}n.select(r,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 o;switch(e.type){case\"point\":{const{sx:t,sy:r}=e,c=s.invert(t),i=n.invert(r);o=Object.assign(Object.assign({},e),{x:c,y:i});break}case\"span\":{const{sx:t,sy:r}=e,c=s.invert(t),i=n.invert(r);o=Object.assign(Object.assign({},e),{x:c,y:i});break}case\"rect\":{const{sx0:t,sx1:r,sy0:c,sy1:i}=e,[l,a]=s.r_invert(t,r),[_,d]=n.r_invert(c,i);o=Object.assign(Object.assign({},e),{x0:l,y0:_,x1:a,y1:d});break}case\"poly\":{const{sx:t,sy:r}=e,c=s.v_invert(t),i=n.v_invert(r);o=Object.assign(Object.assign({},e),{x:c,y:i});break}}this.plot_model.trigger_event(new h.SelectionGeometry(o,t))}}s.SelectToolView=m,m.__name__=\"SelectToolView\";class v extends r.GestureTool{constructor(e){super(e)}initialize(){super.initialize(),this.clear=new p.Signal0(this,\"clear\")}static init_SelectTool(){this.define((({String:e,Array:t,Ref:s,Or:n,Auto:o})=>({renderers:[n(t(s(l.DataRenderer)),o),\"auto\"],names:[t(e),[]],mode:[_.SelectionMode,\"replace\"]})))}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=v,v.__name__=\"SelectTool\",v.init_SelectTool()},\n", - " function _(t,o,e,s,i){s();const n=t(237),_=t(136),a=t(20),l=t(242);class r extends n.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 _.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 c extends n.GestureTool{constructor(t){super(t),this.tool_name=\"Box Zoom\",this.icon=l.tool_icon_box_zoom,this.event_type=\"pan\",this.default_order=20}static init_BoxZoomTool(){this.prototype.default_view=r,this.define((({Boolean:t,Ref:o})=>({dimensions:[a.Dimensions,\"both\"],overlay:[o(_.BoxAnnotation),h],match_aspect:[t,!1],origin:[a.BoxOrigin,\"corner\"]}))),this.register_alias(\"box_zoom\",(()=>new c({dimensions:\"both\"}))),this.register_alias(\"xbox_zoom\",(()=>new c({dimensions:\"width\"}))),this.register_alias(\"ybox_zoom\",(()=>new c({dimensions:\"height\"})))}get tooltip(){return this._get_dim_tooltip(this.dimensions)}}e.BoxZoomTool=c,c.__name__=\"BoxZoomTool\",c.init_BoxZoomTool()},\n", - " function _(s,e,t,o,i){o();const l=s(378),_=s(231),a=s(381),c=s(43),n=s(242);class h extends l.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==c.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 i={type:\"poly\",sx:s,sy:e};this._select(i,t,o)}}t.LassoSelectToolView=h,h.__name__=\"LassoSelectToolView\";class r extends l.SelectTool{constructor(s){super(s),this.tool_name=\"Lasso Select\",this.icon=n.tool_icon_lasso_select,this.event_type=\"pan\",this.default_order=12}static init_LassoSelectTool(){this.prototype.default_view=h,this.define((({Boolean:s,Ref:e})=>({select_every_mousemove:[s,!0],overlay:[e(_.PolyAnnotation),a.DEFAULT_POLY_OVERLAY]}))),this.register_alias(\"lasso_select\",(()=>new r))}}t.LassoSelectTool=r,r.__name__=\"LassoSelectTool\",r.init_LassoSelectTool()},\n", - " function _(e,t,s,l,o){l();const i=e(378),a=e(231),_=e(43),c=e(9),n=e(242);class h extends i.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==_.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:c.copy(this.data.sx),ys:c.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=h,h.__name__=\"PolySelectToolView\";s.DEFAULT_POLY_OVERLAY=()=>new a.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 y extends i.SelectTool{constructor(e){super(e),this.tool_name=\"Poly Select\",this.icon=n.tool_icon_polygon_select,this.event_type=\"tap\",this.default_order=11}static init_PolySelectTool(){this.prototype.default_view=h,this.define((({Ref:e})=>({overlay:[e(a.PolyAnnotation),s.DEFAULT_POLY_OVERLAY]}))),this.register_alias(\"poly_select\",(()=>new y))}}s.PolySelectTool=y,y.__name__=\"PolySelectTool\",y.init_PolySelectTool()},\n", - " function _(e,t,i,s,n){s();const r=e(20),_=e(383),d=e(242);class o extends _.LineToolView{constructor(){super(...arguments),this._drawing=!1}_doubletap(e){if(!this.model.active)return;const t=this.model.renderers;for(const i of t){1==this._select_event(e,\"replace\",[i]).length&&(this._selected_renderer=i)}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,[i,s]=[t.x.field,t.y.field],n=e.get_array(i),r=e.get_array(s);this._set_intersection(n,r)}_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 i=this._select_mode(e);if(0==this._select_event(e,i,[t]).length)return}const i=this._select_mode(e);this._select_event(e,i,[t]),this._select_event(e,i,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,[i,s]=[e.x.field,e.y.field];if(i&&s){const e=t.data[i],n=t.data[s];this._selected_renderer.data_source.data[i]=e,this._selected_renderer.data_source.data[s]=n}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())}}i.LineEditToolView=o,o.__name__=\"LineEditToolView\";class l extends _.LineTool{constructor(e){super(e),this.tool_name=\"Line Edit Tool\",this.icon=d.tool_icon_line_edit,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=4}static init_LineEditTool(){this.prototype.default_view=o,this.define((()=>({dimensions:[r.Dimensions,\"both\"]})))}get tooltip(){return this._get_dim_tooltip(this.dimensions)}}i.LineEditTool=l,l.__name__=\"LineEditTool\",l.init_LineEditTool()},\n", - " function _(e,i,t,n,o){n();const s=e(8),_=e(370);class r extends _.EditToolView{_set_intersection(e,i){const t=this.model.intersection_renderer.glyph,n=this.model.intersection_renderer.data_source,[o,_]=[t.x.field,t.y.field];o&&(s.isArray(e)?n.data[o]=e:t.x={value:e}),_&&(s.isArray(i)?n.data[_]=i:t.y={value:i}),this._emit_cds_changes(n,!0,!0,!1)}_hide_intersections(){this._set_intersection([],[])}}t.LineToolView=r,r.__name__=\"LineToolView\";class c extends _.EditTool{constructor(e){super(e)}static init_LineTool(){this.define((({AnyRef:e})=>({intersection_renderer:[e()]})))}}t.LineTool=c,c.__name__=\"LineTool\",c.init_LineTool()},\n", - " function _(t,s,i,n,e){n();const o=t(1),a=t(237),_=t(20),h=o.__importStar(t(242));function l(t,s,i){const n=new Map;for(const[e,o]of t){const[t,a]=o.r_invert(s,i);n.set(e,{start:t,end:a})}return n}i.update_ranges=l;class r extends a.GestureToolView{_pan_start(t){var s;this.last_dx=0,this.last_dy=0;const{sx:i,sy:n}=t,e=this.plot_view.frame.bbox;if(!e.contains(i,n)){const t=e.h_range,s=e.v_range;(it.end)&&(this.v_axis_only=!0),(ns.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})}_update(t,s){const i=this.plot_view.frame,n=t-this.last_dx,e=s-this.last_dy,o=i.bbox.h_range,a=o.start-n,_=o.end-n,h=i.bbox.v_range,r=h.start-e,d=h.end-e,p=this.model.dimensions;let c,m,u,x,v,y;\"width\"!=p&&\"both\"!=p||this.v_axis_only?(c=o.start,m=o.end,u=0):(c=a,m=_,u=-n),\"height\"!=p&&\"both\"!=p||this.h_axis_only?(x=h.start,v=h.end,y=0):(x=r,v=d,y=-e),this.last_dx=t,this.last_dy=s;const{x_scales:g,y_scales:w}=i,f=l(g,c,m),b=l(w,x,v);this.pan_info={xrs:f,yrs:b,sdx:u,sdy:y},this.plot_view.update_range(this.pan_info,{panning:!0})}}i.PanToolView=r,r.__name__=\"PanToolView\";class d extends a.GestureTool{constructor(t){super(t),this.tool_name=\"Pan\",this.event_type=\"pan\",this.default_order=10}static init_PanTool(){this.prototype.default_view=r,this.define((()=>({dimensions:[_.Dimensions,\"both\",{on_update(t,s){switch(t){case\"both\":s.icon=h.tool_icon_pan;break;case\"width\":s.icon=h.tool_icon_xpan;break;case\"height\":s.icon=h.tool_icon_ypan}}}]}))),this.register_alias(\"pan\",(()=>new d({dimensions:\"both\"}))),this.register_alias(\"xpan\",(()=>new d({dimensions:\"width\"}))),this.register_alias(\"ypan\",(()=>new d({dimensions:\"height\"})))}get tooltip(){return this._get_dim_tooltip(this.dimensions)}}i.PanTool=d,d.__name__=\"PanTool\",d.init_PanTool()},\n", - " function _(t,e,i,s,n){s();const l=t(136),a=t(156),r=t(19),o=t(237),_=t(242);function h(t){switch(t){case 1:return 2;case 2:return 1;case 4:return 5;case 5:return 4;default:return t}}function d(t,e,i,s){if(null==e)return!1;const n=i.compute(e);return Math.abs(t-n)n.right)&&(l=!1)}if(null!=n.bottom&&null!=n.top){const t=s.invert(e);(tn.top)&&(l=!1)}return l}function c(t,e,i){let s=0;return t>=i.start&&t<=i.end&&(s+=1),e>=i.start&&e<=i.end&&(s+=1),s}function g(t,e,i,s){const n=e.compute(t),l=e.invert(n+i);return l>=s.start&&l<=s.end?l:t}function y(t,e,i){return t>e.start?(e.end=t,i):(e.end=e.start,e.start=t,h(i))}function f(t,e,i){return t=o&&(t.start=a,t.end=r)}i.flip_side=h,i.is_near=d,i.is_inside=u,i.sides_inside=c,i.compute_value=g,i.update_range_end_side=y,i.update_range_start_side=f,i.update_range=m;class v extends o.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(t){this.last_dx=0,this.last_dy=0;const e=this.model.x_range,i=this.model.y_range,{frame:s}=this.plot_view,n=s.x_scale,a=s.y_scale,r=this.model.overlay,{left:o,right:_,top:h,bottom:c}=r,g=this.model.overlay.line_width+l.EDGE_TOLERANCE;null!=e&&this.model.x_interaction&&(d(t.sx,o,n,g)?this.side=1:d(t.sx,_,n,g)?this.side=2:u(t.sx,t.sy,n,a,r)&&(this.side=3)),null!=i&&this.model.y_interaction&&(0==this.side&&d(t.sy,c,a,g)&&(this.side=4),0==this.side&&d(t.sy,h,a,g)?this.side=5:u(t.sx,t.sy,n,a,this.model.overlay)&&(3==this.side?this.side=7:this.side=6))}_pan(t){const e=this.plot_view.frame,i=t.deltaX-this.last_dx,s=t.deltaY-this.last_dy,n=this.model.x_range,l=this.model.y_range,a=e.x_scale,r=e.y_scale;if(null!=n)if(3==this.side||7==this.side)m(n,a,i,e.x_range);else if(1==this.side){const t=g(n.start,a,i,e.x_range);this.side=f(t,n,this.side)}else if(2==this.side){const t=g(n.end,a,i,e.x_range);this.side=y(t,n,this.side)}if(null!=l)if(6==this.side||7==this.side)m(l,r,s,e.y_range);else if(4==this.side){const t=g(l.start,r,s,e.y_range);this.side=f(t,l,this.side)}else if(5==this.side){const t=g(l.end,r,s,e.y_range);this.side=y(t,l,this.side)}this.last_dx=t.deltaX,this.last_dy=t.deltaY}_pan_end(t){this.side=0}}i.RangeToolView=v,v.__name__=\"RangeToolView\";const p=()=>new l.BoxAnnotation({level:\"overlay\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:.5,line_dash:[2,2]});class x extends o.GestureTool{constructor(t){super(t),this.tool_name=\"Range Tool\",this.icon=_.tool_icon_range,this.event_type=\"pan\",this.default_order=1}static init_RangeTool(){this.prototype.default_view=v,this.define((({Boolean:t,Ref:e,Nullable:i})=>({x_range:[i(e(a.Range1d)),null],x_interaction:[t,!0],y_range:[i(e(a.Range1d)),null],y_interaction:[t,!0],overlay:[e(l.BoxAnnotation),p]})))}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,r.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=x,x.__name__=\"RangeTool\",x.init_RangeTool()},\n", - " function _(e,t,s,o,i){o();const l=e(378),a=e(20),n=e(242);class c extends l.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=c,c.__name__=\"TapToolView\";class _ extends l.SelectTool{constructor(e){super(e),this.tool_name=\"Tap\",this.icon=n.tool_icon_tap_select,this.event_type=\"tap\",this.default_order=10}static init_TapTool(){this.prototype.default_view=c,this.define((({Any:e,Enum:t,Nullable:s})=>({behavior:[a.TapBehavior,\"select\"],gesture:[t(\"tap\",\"doubletap\"),\"tap\"],callback:[s(e)]}))),this.register_alias(\"click\",(()=>new _({behavior:\"inspect\"}))),this.register_alias(\"tap\",(()=>new _)),this.register_alias(\"doubletap\",(()=>new _({gesture:\"doubletap\"})))}}s.TapTool=_,_.__name__=\"TapTool\",_.init_TapTool()},\n", - " function _(e,t,s,i,n){i();const o=e(237),a=e(20),l=e(242),_=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,i=s.bbox.h_range,n=s.bbox.v_range,[o,a]=[i.start,i.end],[l,h]=[n.start,n.end];let r,d,c,p;switch(this.model.dimension){case\"height\":{const t=Math.abs(h-l);r=o,d=a,c=l-t*e,p=h-t*e;break}case\"width\":{const t=Math.abs(a-o);r=o-t*e,d=a-t*e,c=l,p=h;break}}const{x_scales:m,y_scales:u}=s,w={xrs:_.update_ranges(m,r,d),yrs:_.update_ranges(u,c,p),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)}}s.WheelPanToolView=h,h.__name__=\"WheelPanToolView\";class r extends o.GestureTool{constructor(e){super(e),this.tool_name=\"Wheel Pan\",this.icon=l.tool_icon_wheel_pan,this.event_type=\"scroll\",this.default_order=12}static init_WheelPanTool(){this.prototype.default_view=h,this.define((()=>({dimension:[a.Dimension,\"width\"]}))),this.internal((({Number:e})=>({speed:[e,.001]}))),this.register_alias(\"xwheel_pan\",(()=>new r({dimension:\"width\"}))),this.register_alias(\"ywheel_pan\",(()=>new r({dimension:\"height\"})))}get tooltip(){return this._get_dim_tooltip(this.dimension)}}s.WheelPanTool=r,r.__name__=\"WheelPanTool\",r.init_WheelPanTool()},\n", - " function _(e,o,t,s,i){s();const l=e(237),n=e(368),h=e(20),_=e(27),a=e(242);class m extends l.GestureToolView{_pinch(e){const{sx:o,sy:t,scale:s,ctrlKey:i,shiftKey:l}=e;let n;n=s>=1?20*(s-1):-20/s,this._scroll({type:\"wheel\",sx:o,sy:t,delta:n,ctrlKey:i,shiftKey:l})}_scroll(e){var o;const{frame:t}=this.plot_view,s=t.bbox.h_range,i=t.bbox.v_range,{sx:l,sy:h}=e,_=this.model.dimensions,a=(\"width\"==_||\"both\"==_)&&s.start({dimensions:[h.Dimensions,\"both\"],maintain_focus:[e,!0],zoom_on_axis:[e,!0],speed:[o,1/600]}))),this.register_alias(\"wheel_zoom\",(()=>new r({dimensions:\"both\"}))),this.register_alias(\"xwheel_zoom\",(()=>new r({dimensions:\"width\"}))),this.register_alias(\"ywheel_zoom\",(()=>new r({dimensions:\"height\"})))}get tooltip(){return this._get_dim_tooltip(this.dimensions)}}t.WheelZoomTool=r,r.__name__=\"WheelZoomTool\",r.init_WheelZoomTool()},\n", - " function _(i,s,t,o,e){o();const n=i(247),l=i(233),h=i(20),a=i(13),r=i(242);class _ extends n.InspectToolView{_move(i){if(!this.model.active)return;const{sx:s,sy:t}=i;this.plot_view.frame.bbox.contains(s,t)?this._update_spans(s,t):this._update_spans(null,null)}_move_exit(i){this._update_spans(null,null)}_update_spans(i,s){const t=this.model.dimensions;\"width\"!=t&&\"both\"!=t||(this.model.spans.width.location=s),\"height\"!=t&&\"both\"!=t||(this.model.spans.height.location=i)}}t.CrosshairToolView=_,_.__name__=\"CrosshairToolView\";class c extends n.InspectTool{constructor(i){super(i),this.tool_name=\"Crosshair\",this.icon=r.tool_icon_crosshair}static init_CrosshairTool(){function i(i,s){return new l.Span({for_hover:!0,dimension:s,location_units:\"screen\",level:\"overlay\",line_color:i.line_color,line_width:i.line_width,line_alpha:i.line_alpha})}this.prototype.default_view=_,this.define((({Alpha:i,Number:s,Color:t})=>({dimensions:[h.Dimensions,\"both\"],line_color:[t,\"black\"],line_width:[s,1],line_alpha:[i,1]}))),this.internal((({Struct:s,Ref:t})=>({spans:[s({width:t(l.Span),height:t(l.Span)}),s=>({width:i(s,\"width\"),height:i(s,\"height\")})]}))),this.register_alias(\"crosshair\",(()=>new c))}get tooltip(){return this._get_dim_tooltip(this.dimensions)}get synthetic_renderers(){return a.values(this.spans)}}t.CrosshairTool=c,c.__name__=\"CrosshairTool\",c.init_CrosshairTool()},\n", - " function _(t,e,s,o,r){o();const n=t(53),i=t(13),a=t(34);class u extends n.Model{constructor(t){super(t)}static init_CustomJSHover(){this.define((({Unknown:t,String:e,Dict:s})=>({args:[s(t),{}],code:[e,\"\"]})))}get values(){return i.values(this.args)}_make_code(t,e,s,o){return new Function(...i.keys(this.args),t,e,s,a.use_strict(o))}format(t,e,s){return this._make_code(\"value\",\"format\",\"special_vars\",this.code)(...this.values,t,e,s)}}s.CustomJSHover=u,u.__name__=\"CustomJSHover\",u.init_CustomJSHover()},\n", - " function _(e,t,n,s,o){s();const i=e(1),r=e(247),l=e(390),a=e(254),c=e(61),_=e(123),d=e(62),p=e(63),h=e(127),u=i.__importStar(e(107)),m=e(182),y=e(43),f=e(22),x=e(13),v=e(245),w=e(8),g=e(122),b=e(20),k=e(242),C=e(15),S=e(161),T=i.__importStar(e(255));function $(e,t,n,s,o,i){const r={x:o[e],y:i[e]},l={x:o[e+1],y:i[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=u.dist_2_pts(r,e),c=u.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 a.Tooltip({custom:w.isString(n)||w.isFunction(n),attachment:this.model.attachment,show_arrow:this.model.show_arrow});t instanceof c.GlyphRenderer?e.set(t,s):t instanceof _.GraphRenderer&&(e.set(t.node_renderer,s),e.set(t.edge_renderer,s))}const s=await g.build_views(this._ttviews,[...e.values()],{parent:this.plot_view});for(const e of s)e.render();const o=[...function*(){for(const e of t)e instanceof c.GlyphRenderer?yield e:e instanceof _.GraphRenderer&&(yield e.node_renderer,yield e.edge_renderer)}()],i=this._slots.get(this._update);if(null!=i){const e=new Set(o.map((e=>e.data_source)));C.Signal.disconnect_receiver(this,i,e)}for(const e of o)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 S.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 c.GlyphRenderer))return;if(\"ignore\"==this.model.muted_policy&&e.muted)return;const o=this.ttmodels.get(e);if(null==o)return;const i=e.get_selection_manager();let r=i.inspectors.get(e);if(r=e.view.convert_selection_to_subset(r),r.is_empty())return void o.clear();const l=i.source,a=this.plot_view.renderer_view(e);if(null==a)return;const{sx:_,sy:d}=t,u=a.coordinates.x_scale,m=a.coordinates.y_scale,f=u.invert(_),v=m.invert(d),{glyph:w}=a,g=[];if(w instanceof p.LineView)for(const n of r.line_indices){let s,o,i=w._x[n+1],a=w._y[n+1],c=n;switch(this.model.line_policy){case\"interp\":[i,a]=w.get_interpolation_hit(n,t),s=u.compute(i),o=m.compute(a);break;case\"prev\":[[s,o],c]=R(w.sx,w.sy,n);break;case\"next\":[[s,o],c]=R(w.sx,w.sy,n+1);break;case\"nearest\":[[s,o],c]=$(n,t,_,d,w.sx,w.sy),i=w._x[c],a=w._y[c];break;default:[s,o]=[_,d]}const p={index:c,x:f,y:v,sx:_,sy:d,data_x:i,data_y:a,rx:s,ry:o,indices:r.line_indices,name:e.name};g.push([s,o,this._render_tooltips(l,c,p)])}for(const t of r.image_indices){const n={index:t.index,x:f,y:v,sx:_,sy:d,name:e.name},s=this._render_tooltips(l,t,n);g.push([_,d,s])}for(const o of r.indices)if(w instanceof h.MultiLineView&&!x.isEmpty(r.multiline_indices))for(const n of r.multiline_indices[o.toString()]){let s,i,a,p=w._xs.get(o)[n],h=w._ys.get(o)[n],y=n;switch(this.model.line_policy){case\"interp\":[p,h]=w.get_interpolation_hit(o,n,t),s=u.compute(p),i=m.compute(h);break;case\"prev\":[[s,i],y]=R(w.sxs.get(o),w.sys.get(o),n);break;case\"next\":[[s,i],y]=R(w.sxs.get(o),w.sys.get(o),n+1);break;case\"nearest\":[[s,i],y]=$(n,t,_,d,w.sxs.get(o),w.sys.get(o)),p=w._xs.get(o)[y],h=w._ys.get(o)[y];break;default:throw new Error(\"shouldn't have happened\")}a=e instanceof c.GlyphRenderer?e.view.convert_indices_from_subset([o])[0]:o;const x={index:a,x:f,y:v,sx:_,sy:d,data_x:p,data_y:h,segment_index:y,indices:r.multiline_indices,name:e.name};g.push([s,i,this._render_tooltips(l,a,x)])}else{const t=null===(n=w._x)||void 0===n?void 0:n[o],i=null===(s=w._y)||void 0===s?void 0:s[o];let a,p,h;if(\"snap_to_data\"==this.model.point_policy){let e=w.get_anchor_point(this.model.anchor,o,[_,d]);if(null==e&&(e=w.get_anchor_point(\"center\",o,[_,d]),null==e))continue;a=e.x,p=e.y}else[a,p]=[_,d];h=e instanceof c.GlyphRenderer?e.view.convert_indices_from_subset([o])[0]:o;const u={index:h,x:f,y:v,sx:_,sy:d,data_x:t,data_y:i,indices:r.indices,name:e.name};g.push([a,p,this._render_tooltips(l,h,u)])}if(0==g.length)o.clear();else{const{content:e}=o;y.empty(o.content);for(const[,,t]of g)null!=t&&e.appendChild(t);const[t,n]=g[g.length-1];o.setv({position:[t,n]},{check_eq:!1})}}_emit_callback(e){const{callback:t}=this.model;if(null!=t)for(const n of this.computed_renderers){if(!(n instanceof c.GlyphRenderer))continue;const s=this.plot_view.renderer_view(n);if(null==s)continue;const{x_scale:o,y_scale:i}=s.coordinates,r=o.invert(e.sx),l=i.invert(e.sy),a=n.data_source.inspected;t.execute(this.model,{geometry:Object.assign({x:r,y:l},e),renderer:n,index:a})}}_create_template(e){const t=y.div({style:{display:\"table\",borderSpacing:\"2px\"}});for(const[n]of e){const e=y.div({style:{display:\"table-row\"}});t.appendChild(e);const s=y.div({style:{display:\"table-cell\"},class:T.tooltip_row_label},0!=n.length?`${n}: `:\"\");e.appendChild(s);const o=y.span();o.dataset.value=\"\";const i=y.span({class:T.tooltip_color_block},\" \");i.dataset.swatch=\"\",y.undisplay(i);const r=y.div({style:{display:\"table-cell\"},class:T.tooltip_row_value},o,i);e.appendChild(r)}return t}_render_template(e,t,n,s,o){const i=e.cloneNode(!0),r=i.querySelectorAll(\"[data-value]\"),l=i.querySelectorAll(\"[data-swatch]\"),a=/\\$color(\\[.*\\])?:(\\w*)/,c=/\\$swatch:(\\w*)/;for(const[[,e],i]of v.enumerate(t)){const t=e.match(c),_=e.match(a);if(null!=t||null!=_){if(null!=t){const[,e]=t,o=n.get_column(e);if(null==o)r[i].textContent=`${e} unknown`;else{const e=w.isNumber(s)?o[s]:null;null!=e&&(l[i].style.backgroundColor=f.color2css(e),y.display(l[i]))}}if(null!=_){const[,e=\"\",t]=_,o=n.get_column(t);if(null==o){r[i].textContent=`${t} unknown`;continue}const a=e.indexOf(\"hex\")>=0,c=e.indexOf(\"swatch\")>=0,d=w.isNumber(s)?o[s]:null;if(null==d){r[i].textContent=\"(null)\";continue}r[i].textContent=a?f.color2hex(d):f.color2css(d),c&&(l[i].style.backgroundColor=f.color2css(d),y.display(l[i]))}}else{const t=m.replace_placeholders(e.replace(\"$~\",\"$data_\"),n,s,this.model.formatters,o);if(w.isString(t))r[i].textContent=t;else for(const e of t)r[i].appendChild(e)}}return i}_render_tooltips(e,t,n){var s;const{tooltips:o}=this.model;if(w.isString(o)){const s=m.replace_placeholders({html:o},e,t,this.model.formatters,n);return y.div({},s)}if(w.isFunction(o))return o(e,n);if(null!=o){const i=null!==(s=this._template_el)&&void 0!==s?s:this._template_el=this._create_template(o);return this._render_template(i,o,e,t,n)}return null}}n.HoverToolView=H,H.__name__=\"HoverToolView\";class M extends r.InspectTool{constructor(e){super(e),this.tool_name=\"Hover\",this.icon=k.tool_icon_hover}static init_HoverTool(){this.prototype.default_view=H,this.define((({Any:e,Boolean:t,String:n,Array:s,Tuple:o,Dict:i,Or:r,Ref:a,Function:c,Auto:_,Nullable:p})=>({tooltips:[p(r(n,s(o(n,n)),c())),[[\"index\",\"$index\"],[\"data (x, y)\",\"($x, $y)\"],[\"screen (x, y)\",\"($sx, $sy)\"]]],formatters:[i(r(a(l.CustomJSHover),m.FormatterType)),{}],renderers:[r(s(a(d.DataRenderer)),_),\"auto\"],names:[s(n),[]],mode:[b.HoverMode,\"mouse\"],muted_policy:[b.MutedPolicy,\"show\"],point_policy:[b.PointPolicy,\"snap_to_data\"],line_policy:[b.LinePolicy,\"nearest\"],show_arrow:[t,!0],anchor:[b.Anchor,\"center\"],attachment:[b.TooltipAttachment,\"horizontal\"],callback:[p(e)]}))),this.register_alias(\"hover\",(()=>new M))}}n.HoverTool=M,M.__name__=\"HoverTool\",M.init_HoverTool()},\n", - " function _(t,o,e,n,i){n();const s=t(15),l=t(53),c=t(238),r=t(247),a=t(245);class u extends l.Model{constructor(t){super(t)}static init_ToolProxy(){this.define((({Boolean:t,Array:o,Ref:e})=>({tools:[o(e(c.ButtonTool)),[]],active:[t,!1],disabled:[t,!1]})))}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 r.InspectTool&&t.toggleable}initialize(){super.initialize(),this.do=new s.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 a.enumerate(t))if(null==e)o.push(null);else{const t=()=>{var t,o;for(const e of this.tools)null===(o=null===(t=e.menu)||void 0===t?void 0:t[n])||void 0===o||o.handler()};o.push(Object.assign(Object.assign({},e),{handler:t}))}return o}}e.ToolProxy=u,u.__name__=\"ToolProxy\",u.init_ToolProxy()},\n", - " function _(o,t,s,i,e){i();const n=o(20),r=o(9),l=o(13),c=o(248),h=o(235),a=o(392),_=o(319),p=o(221);class f extends c.ToolbarBase{constructor(o){super(o)}static init_ProxyToolbar(){this.define((({Array:o,Ref:t})=>({toolbars:[o(t(h.Toolbar)),[]]})))}initialize(){super.initialize(),this._merge_tools()}_merge_tools(){this._proxied_tools=[];const o={},t={},s={},i=[],e=[];for(const o of this.help)r.includes(e,o.redirect)||(i.push(o),e.push(o.redirect));this._proxied_tools.push(...i),this.help=i;for(const[o,t]of l.entries(this.gestures)){o in s||(s[o]={});for(const i of t.tools)i.type in s[o]||(s[o][i.type]=[]),s[o][i.type].push(i)}for(const t of this.inspectors)t.type in o||(o[t.type]=[]),o[t.type].push(t);for(const o of this.actions)o.type in t||(t[o.type]=[]),t[o.type].push(o);const n=(o,t=!1)=>{const s=new a.ToolProxy({tools:o,active:t});return this._proxied_tools.push(s),s};for(const o of l.keys(s)){const t=this.gestures[o];t.tools=[];for(const i of l.keys(s[o])){const e=s[o][i];if(e.length>0)if(\"multi\"==o)for(const o of e){const s=n([o]);t.tools.push(s),this.connect(s.properties.active.change,(()=>this._active_change(s)))}else{const o=n(e);t.tools.push(o),this.connect(o.properties.active.change,(()=>this._active_change(o)))}}}this.actions=[];for(const[o,s]of l.entries(t))if(\"CustomAction\"==o)for(const o of s)this.actions.push(n([o]));else s.length>0&&this.actions.push(n(s));this.inspectors=[];for(const t of l.values(o))t.length>0&&this.inspectors.push(n(t,!0));for(const[o,t]of l.entries(this.gestures))0!=t.tools.length&&(t.tools=r.sort_by(t.tools,(o=>o.default_order)),\"pinch\"!=o&&\"scroll\"!=o&&\"multi\"!=o&&(t.tools[0].active=!0))}}s.ProxyToolbar=f,f.__name__=\"ProxyToolbar\",f.init_ProxyToolbar();class u extends _.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 p.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})}}s.ToolbarBoxView=u,u.__name__=\"ToolbarBoxView\";class y extends _.LayoutDOM{constructor(o){super(o)}static init_ToolbarBox(){this.prototype.default_view=u,this.define((({Ref:o})=>({toolbar:[o(c.ToolbarBase)],toolbar_location:[n.Location,\"right\"]})))}}s.ToolbarBox=y,y.__name__=\"ToolbarBox\",y.init_ToolbarBox()},\n", - " function _(e,n,r,t,o){t();const s=e(1),u=e(53),c=s.__importStar(e(21)),a=e(8),l=e(13);r.resolve_defs=function(e,n){var r,t,o,s;function i(e){return null!=e.module?`${e.module}.${e.name}`:e.name}function f(e){if(a.isString(e))switch(e){case\"Any\":return c.Any;case\"Unknown\":return c.Unknown;case\"Boolean\":return c.Boolean;case\"Number\":return c.Number;case\"Int\":return c.Int;case\"String\":return c.String;case\"Null\":return c.Null}else switch(e[0]){case\"Nullable\":{const[,n]=e;return c.Nullable(f(n))}case\"Or\":{const[,...n]=e;return c.Or(...n.map(f))}case\"Tuple\":{const[,n,...r]=e;return c.Tuple(f(n),...r.map(f))}case\"Array\":{const[,n]=e;return c.Array(f(n))}case\"Struct\":{const[,...n]=e,r=n.map((([e,n])=>[e,f(n)]));return 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u=new Map;async function f(i){let d;const f=n.roots().indexOf(i),r=o[f];null!=r?d=r:e.classList.contains(l.BOKEH_ROOT)?d=e:(d=a.div({class:l.BOKEH_ROOT}),e.appendChild(d));const w=await s.build_view(i,{parent:null});return w instanceof c.DOMView&&w.renderTo(d),u.set(i,w),t.index[i.id]=w,w}for(const e of n.roots())await f(e);return i&&(window.document.title=n.title()),n.on_change((n=>{n instanceof d.RootAddedEvent?f(n.model):n instanceof d.RootRemovedEvent?function(n){const e=u.get(n);null!=e&&(e.remove(),u.delete(n),delete t.index[n.id])}(n.model):i&&n instanceof d.TitleChangedEvent&&(window.document.title=n.title)})),[...u.values()]}},\n", - " function _(o,e,n,t,r){t();const l=o(43),d=o(44);function u(o){let e=document.getElementById(o);if(null==e)throw new Error(`Error rendering Bokeh model: could not find #${o} HTML tag`);if(!document.body.contains(e))throw new Error(`Error rendering Bokeh model: element #${o} must be under `);if(\"SCRIPT\"==e.tagName){const o=l.div({class:n.BOKEH_ROOT});l.replaceWith(e,o),e=o}return e}n.BOKEH_ROOT=d.root,n._resolve_element=function(o){const{elementid:e}=o;return null!=e?u(e):document.body},n._resolve_root_elements=function(o){const e=[];if(null!=o.root_ids&&null!=o.roots)for(const n of o.root_ids)e.push(u(o.roots[n]));return e}},\n", - " function _(n,o,t,s,e){s();const c=n(398),r=n(19),a=n(395);t._get_ws_url=function(n,o){let t,s=\"ws:\";return\"https:\"==window.location.protocol&&(s=\"wss:\"),null!=o?(t=document.createElement(\"a\"),t.href=o):t=window.location,null!=n?\"/\"==n&&(n=\"\"):n=t.pathname.replace(/\\/+$/,\"\"),s+\"//\"+t.host+n+\"/ws\"};const i={};t.add_document_from_session=async function(n,o,t,s=[],e=!1){const l=window.location.search.substr(1);let d;try{d=await function(n,o,t){const s=c.parse_token(o).session_id;n in i||(i[n]={});const e=i[n];return s in e||(e[s]=c.pull_session(n,o,t)),e[s]}(n,o,l)}catch(n){const t=c.parse_token(o).session_id;throw r.logger.error(`Failed to load Bokeh 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${this._number}`),this.session._connection_closed())}_schedule_reconnect(e){setTimeout((()=>{this.closed_permanently||r.logger.info(`Websocket connection ${this._number} disconnected, will not attempt to reconnect`)}),e)}send(e){if(null==this.socket)throw new Error(`not connected so cannot send ${e}`);e.send(this.socket)}async send_with_reply(e){const s=await new Promise(((s,n)=>{this._pending_replies.set(e.msgid(),{resolve:s,reject:n}),this.send(e)}));if(\"ERROR\"===s.msgtype())throw new Error(`Error reply ${s.content.text}`);return s}async _pull_doc_json(){const e=c.Message.create(\"PULL-DOC-REQ\",{}),s=await this.send_with_reply(e);if(!(\"doc\"in s.content))throw new Error(\"No 'doc' field in PULL-DOC-REPLY\");return s.content.doc}async _repull_session_doc(e,s){var n;r.logger.debug(this.session?\"Repulling session\":\"Pulling session for first time\");try{const n=await this._pull_doc_json();if(null==this.session)if(this.closed_permanently)r.logger.debug(\"Got new document after connection was already closed\"),s(new Error(\"The connection has been closed\"));else{const s=i.Document.from_json(n),t=i.Document._compute_patch_since_json(n,s);if(t.events.length>0){r.logger.debug(`Sending ${t.events.length} changes from model construction back to server`);const e=c.Message.create(\"PATCH-DOC\",{},t);this.send(e)}this.session=new _.ClientSession(this,s,this.id);for(const e of this._pending_messages)this.session.handle(e);this._pending_messages=[],r.logger.debug(\"Created a new session from new pulled doc\"),e(this.session)}else this.session.document.replace_with_json(n),r.logger.debug(\"Updated existing session with new pulled doc\")}catch(e){null===(n=console.trace)||void 0===n||n.call(console,e),r.logger.error(`Failed to repull session ${e}`),s(e instanceof Error?e:`${e}`)}}_on_open(e,s){r.logger.info(`Websocket connection ${this._number} is now open`),this._current_handler=n=>{this._awaiting_ack_handler(n,e,s)}}_on_message(e){null==this._current_handler&&r.logger.error(\"Got a message with no current handler set\");try{this._receiver.consume(e.data)}catch(e){this._close_bad_protocol(`${e}`)}const s=this._receiver.message;if(null!=s){const e=s.problem();null!=e&&this._close_bad_protocol(e),this._current_handler(s)}}_on_close(e,s){r.logger.info(`Lost websocket ${this._number} connection, ${e.code} (${e.reason})`),this.socket=null,this._pending_replies.forEach((e=>e.reject(\"Disconnected\"))),this._pending_replies.clear(),this.closed_permanently||this._schedule_reconnect(2e3),s(new Error(`Lost websocket connection, ${e.code} (${e.reason})`))}_on_error(e){r.logger.debug(`Websocket error on socket ${this._number}`);const s=\"Could not open websocket\";r.logger.error(`Failed to connect to Bokeh server: ${s}`),e(new Error(s))}_close_bad_protocol(e){r.logger.error(`Closing connection: ${e}`),null!=this.socket&&this.socket.close(1002,e)}_awaiting_ack_handler(e,s,n){\"ACK\"===e.msgtype()?(this._current_handler=e=>this._steady_state_handler(e),this._repull_session_doc(s,n)):this._close_bad_protocol(\"First message was not an ACK\")}_steady_state_handler(e){const s=e.reqid(),n=this._pending_replies.get(s);n?(this._pending_replies.delete(s),n.resolve(e)):this.session?this.session.handle(e):\"PATCH-DOC\"!=e.msgtype()&&this._pending_messages.push(e)}}n.ClientConnection=d,d.__name__=\"ClientConnection\",n.pull_session=function(e,s,n){return new d(e,s,n).connect()}},\n", - " function _(e,s,t,r,n){r();const i=e(34);class a{constructor(e,s,t){this.header=e,this.metadata=s,this.content=t,this.buffers=new Map}static assemble(e,s,t){const r=JSON.parse(e),n=JSON.parse(s),i=JSON.parse(t);return new a(r,n,i)}assemble_buffer(e,s){const t=null!=this.header.num_buffers?this.header.num_buffers:0;if(t<=this.buffers.size)throw new Error(`too many buffers received, expecting 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this.request_server_info()}_document_changed(e){if(e.setter_id===this.id)return;const t=e instanceof c.DocumentEventBatch?e.events:[e],n=this.document.create_json_patch(t),s=i.Message.create(\"PATCH-DOC\",{},n);this._connection.send(s)}_handle_patch(e){this.document.apply_json_patch(e.content,e.buffers,this.id)}_handle_ok(e){_.logger.trace(`Unhandled OK reply to ${e.reqid()}`)}_handle_error(e){_.logger.error(`Unhandled ERROR reply to ${e.reqid()}: ${e.content.text}`)}}n.ClientSession=r,r.__name__=\"ClientSession\"},\n", - " function _(e,o,t,n,r){n();const s=e(1),l=e(5),i=e(400),a=e(19),c=e(43),g=e(13),f=e(395),u=e(396),m=s.__importDefault(e(44)),p=s.__importDefault(e(253)),d=s.__importDefault(e(403));function _(e,o){o.buffers.length>0?e.consume(o.buffers[0].buffer):e.consume(o.content.data);const t=e.message;null!=t&&this.apply_json_patch(t.content,t.buffers)}function b(e,o){if(\"undefined\"!=typeof Jupyter&&null!=Jupyter.notebook.kernel){a.logger.info(`Registering Jupyter comms for 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(exception reported: ${e})`)}}else if(\"undefined\"!=typeof google&&null!=google.colab.kernel){a.logger.info(`Registering Google Colab comms for target ${e}`);const t=google.colab.kernel.comms;try{t.registerTarget(e,(async t=>{var n,r,l;a.logger.info(`Registering Google Colab comms for target ${e}`);const c=new i.Receiver;try{for(var g,f=s.__asyncValues(t.messages);!(g=await f.next()).done;){const e=g.value,t={data:e.data},n=[];for(const o of null!==(l=e.buffers)&&void 0!==l?l:[])n.push(new DataView(o));const r={content:t,buffers:n};_.bind(o)(c,r)}}catch(e){n={error:e}}finally{try{g&&!g.done&&(r=f.return)&&await r.call(f)}finally{if(n)throw n.error}}}))}catch(e){a.logger.warn(`Google Colab comms failed to register. push_notebook() will not function. (exception reported: ${e})`)}}else console.warn(\"Jupyter notebooks comms not available. push_notebook() will not function. If running JupyterLab ensure the latest @bokeh/jupyter_bokeh extension is installed. In an exported notebook this warning is expected.\")}c.stylesheet.append(m.default),c.stylesheet.append(p.default),c.stylesheet.append(d.default),t.kernels={},t.embed_items_notebook=function(e,o){if(1!=g.size(e))throw new Error(\"embed_items_notebook expects exactly one document in docs_json\");const t=l.Document.from_json(g.values(e)[0]);for(const e of o){null!=e.notebook_comms_target&&b(e.notebook_comms_target,t);const o=u._resolve_element(e),n=u._resolve_root_elements(e);f.add_document_standalone(t,o,n)}}},\n", - " function _(t,o,r,e,d){e(),r.root=\"bk-root\",r.tooltip=\"bk-tooltip\",r.default=\".rendered_html .bk-root .bk-tooltip table,.rendered_html .bk-root .bk-tooltip tr,.rendered_html .bk-root .bk-tooltip th,.rendered_html .bk-root .bk-tooltip td{border:none;padding:1px;}\"},\n", - " function _(t,_,o,r,n){r();const a=t(1);a.__exportStar(t(399),o),a.__exportStar(t(400),o)},\n", - " function _(e,t,n,s,o){function l(){const 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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\"], \"2.3.2\");\n", - " })(this, function(Bokeh, version) {\n", - " var define;\n", - " return (function(modules, entry, aliases, externals) {\n", - " const bokeh = typeof Bokeh !== \"undefined\" && (version != null ? 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" 420: function _(t,e,o,s,n){s();const i=t(488),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())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", - " 488: function _(i,t,e,o,n){o();const s=i(322),r=i(20);class d extends s.HTMLBoxView{_width_policy(){return\"horizontal\"==this.model.orientation?super._width_policy():\"fixed\"}_height_policy(){return\"horizontal\"==this.model.orientation?\"fixed\":super._height_policy()}box_sizing(){const i=super.box_sizing();return\"horizontal\"==this.model.orientation?null==i.width&&(i.width=this.model.default_size):null==i.height&&(i.height=this.model.default_size),i}}e.WidgetView=d,d.__name__=\"WidgetView\";class _ extends s.HTMLBox{constructor(i){super(i)}static init_Widget(){this.define((({Number:i})=>({orientation:[r.Orientation,\"horizontal\"],default_size:[i,300]}))),this.override({margin:[5,5,5,5]})}}e.Widget=_,_.__name__=\"Widget\",_.init_Widget()},\n", - " 422: function _(c,t,s,n,e){n();const o=c(53),_=c(240);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", - " 423: function _(e,t,n,i,s){i();const h=e(1),o=e(424),_=e(43),u=e(10),r=h.__importStar(e(243)),c=r;class l extends o.TextInputView{constructor(){super(...arguments),this._open=!1,this._last_value=\"\",this._hover_index=0}styles(){return[...super.styles(),r.default]}render(){super.render(),this.input_el.addEventListener(\"keydown\",(e=>this._keydown(e))),this.input_el.addEventListener(\"keyup\",(e=>this._keyup(e))),this.menu=_.div({class:[c.menu,c.below]}),this.menu.addEventListener(\"click\",(e=>this._menu_click(e))),this.menu.addEventListener(\"mouseover\",(e=>this._menu_hover(e))),this.el.appendChild(this.menu),_.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){_.empty(this.menu);for(const t of e){const e=_.div({},t);this.menu.appendChild(e)}e.length>0&&this.menu.children[0].classList.add(c.active)}_show_menu(){if(!this._open){this._open=!0,this._hover_index=0,this._last_value=this.model.value,_.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,_.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(c.active),this._hover_index=u.clamp(e,0,t-1),this.menu.children[this._hover_index].classList.add(c.active))}_keydown(e){}_keyup(e){switch(e.keyCode){case _.Keys.Enter:this.change_input();break;case _.Keys.Esc:this._hide_menu();break;case _.Keys.Up:this._bump_hover(this._hover_index-1);break;case _.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)i(n).startsWith(i(e))&&t.push(n);this._update_completions(t),0==t.length?this._hide_menu():this._show_menu()}}}}n.AutocompleteInputView=l,l.__name__=\"AutocompleteInputView\";class a extends o.TextInput{constructor(e){super(e)}static init_AutocompleteInput(){this.prototype.default_view=l,this.define((({Boolean:e,Int:t,String:n,Array:i})=>({completions:[i(n),[]],min_characters:[t,2],case_sensitive:[e,!0],restrict:[e,!0]})))}}n.AutocompleteInput=a,a.__name__=\"AutocompleteInput\",a.init_AutocompleteInput()},\n", - " 424: function _(t,e,n,i,p){i();const _=t(1),u=t(425),s=t(43),x=_.__importStar(t(427));class a extends u.TextLikeInputView{_render_input(){this.input_el=s.input({type:\"text\",class:x.input})}}n.TextInputView=a,a.__name__=\"TextInputView\";class c extends u.TextLikeInput{constructor(t){super(t)}static init_TextInput(){this.prototype.default_view=a}}n.TextInput=c,c.__name__=\"TextInput\",c.init_TextInput()},\n", - " 425: function _(e,t,n,i,l){i();const s=e(426);class h extends s.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=h,h.__name__=\"TextLikeInputView\";class a extends s.InputWidget{constructor(e){super(e)}static init_TextLikeInput(){this.define((({Int:e,String:t,Nullable:n})=>({value:[t,\"\"],value_input:[t,\"\"],placeholder:[t,\"\"],max_length:[n(e),null]})))}}n.TextLikeInput=a,a.__name__=\"TextLikeInput\",a.init_TextLikeInput()},\n", - " 426: function _(t,e,i,n,s){n();const l=t(1),o=t(420),r=t(43),_=l.__importStar(t(427)),p=_;class d extends o.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(),_.default]}render(){super.render();const{title:t}=this.model;this.label_el=r.label({style:{display:0==t.length?\"none\":\"\"}},t),this.group_el=r.div({class:p.input_group},this.label_el),this.el.appendChild(this.group_el)}change_input(){}}i.InputWidgetView=d,d.__name__=\"InputWidgetView\";class u extends o.Control{constructor(t){super(t)}static init_InputWidget(){this.define((({String:t})=>({title:[t,\"\"]})))}}i.InputWidget=u,u.__name__=\"InputWidget\",u.init_InputWidget()},\n", - " 427: function _(o,i,t,n,p){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;-webkit-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;display:-webkit-inline-flex;flex-wrap:nowrap;-webkit-flex-wrap:nowrap;align-items:start;-webkit-align-items:start;flex-direction:column;-webkit-flex-direction:column;white-space:nowrap;}.bk-root .bk-input-group.bk-inline{flex-direction:row;-webkit-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", - " 428: function _(t,e,n,i,o){i();const s=t(419),u=t(264);class c extends s.AbstractButtonView{click(){this.model.trigger_event(new u.ButtonClick),super.click()}}n.ButtonView=c,c.__name__=\"ButtonView\";class _ extends s.AbstractButton{constructor(t){super(t)}static init_Button(){this.prototype.default_view=c,this.override({label:\"Button\"})}}n.Button=_,_.__name__=\"Button\",_.init_Button()},\n", - " 429: function _(t,e,o,i,c){i();const n=t(1),s=t(430),a=t(43),u=n.__importStar(t(328));class r extends s.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)=>{a.classes(e).toggle(u.active,t.has(o))}))}}o.CheckboxButtonGroupView=r,r.__name__=\"CheckboxButtonGroupView\";class _ extends s.ButtonGroup{constructor(t){super(t)}static init_CheckboxButtonGroup(){this.prototype.default_view=r,this.define((({Int:t,Array:e})=>({active:[e(t),[]]})))}}o.CheckboxButtonGroup=_,_.__name__=\"CheckboxButtonGroup\",_.init_CheckboxButtonGroup()},\n", - " 430: function _(t,e,n,s,i){s();const o=t(1),r=t(420),u=t(20),a=t(43),_=o.__importStar(t(328)),l=_;class c extends r.ControlView{*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(),_.default]}render(){super.render(),this._buttons=this.model.labels.map(((t,e)=>{const n=a.div({class:[l.btn,l[`btn_${this.model.button_type}`]],disabled:this.model.disabled},t);return n.addEventListener(\"click\",(()=>this.change_active(e))),n})),this._update_active();const t=a.div({class:l.btn_group},this._buttons);this.el.appendChild(t)}}n.ButtonGroupView=c,c.__name__=\"ButtonGroupView\";class d extends r.Control{constructor(t){super(t)}static init_ButtonGroup(){this.define((({String:t,Array:e})=>({labels:[e(t),[]],button_type:[u.ButtonType,\"default\"]})))}}n.ButtonGroup=d,d.__name__=\"ButtonGroup\",d.init_ButtonGroup()},\n", - " 431: function _(e,t,i,n,s){n();const o=e(1),c=e(432),a=e(43),l=e(9),d=o.__importStar(e(427));class h extends c.InputGroupView{render(){super.render();const e=a.div({class:[d.input_group,this.model.inline?d.inline:null]});this.el.appendChild(e);const{active:t,labels:i}=this.model;this._inputs=[];for(let n=0;nthis.change_active(n))),this._inputs.push(s),this.model.disabled&&(s.disabled=!0),l.includes(t,n)&&(s.checked=!0);const o=a.label({},s,a.span({},i[n]));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()}}i.CheckboxGroupView=h,h.__name__=\"CheckboxGroupView\";class p extends c.InputGroup{constructor(e){super(e)}static init_CheckboxGroup(){this.prototype.default_view=h,this.define((({Boolean:e,Int:t,String:i,Array:n})=>({active:[n(t),[]],labels:[n(i),[]],inline:[e,!1]})))}}i.CheckboxGroup=p,p.__name__=\"CheckboxGroup\",p.init_CheckboxGroup()},\n", - " 432: function _(n,t,e,s,o){s();const r=n(1),u=n(420),c=r.__importDefault(n(427));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", - " 433: function _(e,i,t,n,o){n();const s=e(1),l=e(426),r=e(43),c=e(22),a=s.__importStar(e(427));class d extends l.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.color.change,(()=>this.input_el.value=c.color2hexrgb(this.model.color))),this.connect(this.model.properties.disabled.change,(()=>this.input_el.disabled=this.model.disabled))}render(){super.render(),this.input_el=r.input({type:\"color\",class:a.input,name:this.model.name,value:this.model.color,disabled:this.model.disabled}),this.input_el.addEventListener(\"change\",(()=>this.change_input())),this.group_el.appendChild(this.input_el)}change_input(){this.model.color=this.input_el.value,super.change_input()}}t.ColorPickerView=d,d.__name__=\"ColorPickerView\";class h extends l.InputWidget{constructor(e){super(e)}static init_ColorPicker(){this.prototype.default_view=d,this.define((({Color:e})=>({color:[e,\"#000000\"]})))}}t.ColorPicker=h,h.__name__=\"ColorPicker\",h.init_ColorPicker()},\n", - " 434: function _(e,t,i,n,s){n();const a=e(1),l=a.__importDefault(e(435)),o=e(426),d=e(43),r=e(20),c=e(8),h=a.__importStar(e(427)),u=a.__importDefault(e(436));function _(e){const t=[];for(const i of e)if(c.isString(i))t.push(i);else{const[e,n]=i;t.push({from:e,to:n})}return t}class p extends o.InputWidgetView{connect_signals(){super.connect_signals();const{value:e,min_date:t,max_date:i,disabled_dates:n,enabled_dates:s,position:a,inline:l}=this.model.properties;this.connect(e.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.setDate(this.model.value)})),this.connect(t.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"minDate\",this.model.min_date)})),this.connect(i.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"maxDate\",this.model.max_date)})),this.connect(n.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"disable\",this.model.disabled_dates)})),this.connect(s.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"enable\",this.model.enabled_dates)})),this.connect(a.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"position\",this.model.position)})),this.connect(l.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"inline\",this.model.inline)}))}remove(){var e;null===(e=this._picker)||void 0===e||e.destroy(),super.remove()}styles(){return[...super.styles(),u.default]}render(){var e,t;null==this._picker&&(super.render(),this.input_el=d.input({type:\"text\",class:h.input,disabled:this.model.disabled}),this.group_el.appendChild(this.input_el),this._picker=l.default(this.input_el,{defaultDate:this.model.value,minDate:null!==(e=this.model.min_date)&&void 0!==e?e:void 0,maxDate:null!==(t=this.model.max_date)&&void 0!==t?t:void 0,inline:this.model.inline,position:this.model.position,disable:_(this.model.disabled_dates),enable:_(this.model.enabled_dates),onChange:(e,t,i)=>this._on_change(e,t,i)}))}_on_change(e,t,i){this.model.value=t,this.change_input()}}i.DatePickerView=p,p.__name__=\"DatePickerView\";class m extends o.InputWidget{constructor(e){super(e)}static init_DatePicker(){this.prototype.default_view=p,this.define((({Boolean:e,String:t,Array:i,Tuple:n,Or:s,Nullable:a})=>{const l=i(s(t,n(t,t)));return{value:[t],min_date:[a(t),null],max_date:[a(t),null],disabled_dates:[l,[]],enabled_dates:[l,[]],position:[r.CalendarPosition,\"auto\"],inline:[e,!1]}}))}}i.DatePicker=m,m.__name__=\"DatePicker\",m.init_DatePicker()},\n", - " 435: function _(e,n,t,a,i){\n", - " /* flatpickr v4.6.6, @license MIT */var o,r;o=this,r=function(){\"use strict\";\n", - " /*! *****************************************************************************\n", - " Copyright (c) Microsoft Corporation.\n", - " \n", - " Permission to use, copy, modify, and/or distribute this software for any\n", - " purpose with or without fee is hereby granted.\n", - " \n", - " THE SOFTWARE IS PROVIDED \"AS IS\" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH\n", - " REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY\n", - " AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT,\n", - " INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM\n", - " LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR\n", - " OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR\n", - " PERFORMANCE OF THIS SOFTWARE.\n", - " ***************************************************************************** */var e=function(){return(e=Object.assign||function(e){for(var n,t=1,a=arguments.length;t\",noCalendar:!1,now:new Date,onChange:[],onClose:[],onDayCreate:[],onDestroy:[],onKeyDown:[],onMonthChange:[],onOpen:[],onParseConfig:[],onReady:[],onValueUpdate:[],onYearChange:[],onPreCalendarPosition:[],plugins:[],position:\"auto\",positionElement:void 0,prevArrow:\"\",shorthandCurrentMonth:!1,showMonths:1,static:!1,time_24hr:!1,weekNumbers:!1,wrap:!1},i={weekdays:{shorthand:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],longhand:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"]},months:{shorthand:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],longhand:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"]},daysInMonth:[31,28,31,30,31,30,31,31,30,31,30,31],firstDayOfWeek:0,ordinal:function(e){var n=e%100;if(n>3&&n<21)return\"th\";switch(n%10){case 1:return\"st\";case 2:return\"nd\";case 3:return\"rd\";default:return\"th\"}},rangeSeparator:\" to \",weekAbbreviation:\"Wk\",scrollTitle:\"Scroll to increment\",toggleTitle:\"Click to toggle\",amPM:[\"AM\",\"PM\"],yearAriaLabel:\"Year\",monthAriaLabel:\"Month\",hourAriaLabel:\"Hour\",minuteAriaLabel:\"Minute\",time_24hr:!1},o=function(e,n){return void 0===n&&(n=2),(\"000\"+e).slice(-1*n)},r=function(e){return!0===e?1:0};function l(e,n,t){var a;return void 0===t&&(t=!1),function(){var i=this,o=arguments;null!==a&&clearTimeout(a),a=window.setTimeout((function(){a=null,t||e.apply(i,o)}),n),t&&!a&&e.apply(i,o)}}var c=function(e){return e instanceof Array?e:[e]};function d(e,n,t){if(!0===t)return e.classList.add(n);e.classList.remove(n)}function s(e,n,t){var a=window.document.createElement(e);return n=n||\"\",t=t||\"\",a.className=n,void 0!==t&&(a.textContent=t),a}function u(e){for(;e.firstChild;)e.removeChild(e.firstChild)}function f(e,n){return n(e)?e:e.parentNode?f(e.parentNode,n):void 0}function m(e,n){var t=s(\"div\",\"numInputWrapper\"),a=s(\"input\",\"numInput \"+e),i=s(\"span\",\"arrowUp\"),o=s(\"span\",\"arrowDown\");if(-1===navigator.userAgent.indexOf(\"MSIE 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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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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+\" 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\"+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 0===n&&(n=w.currentYear),1===e&&(n%4==0&&n%100!=0||n%400==0)?29:w.l10n.daysInMonth[e]}},w.isMobile||function(){var e=window.document.createDocumentFragment();if(w.calendarContainer=s(\"div\",\"flatpickr-calendar\"),w.calendarContainer.tabIndex=-1,!w.config.noCalendar){if(e.appendChild((w.monthNav=s(\"div\",\"flatpickr-months\"),w.yearElements=[],w.monthElements=[],w.prevMonthNav=s(\"span\",\"flatpickr-prev-month\"),w.prevMonthNav.innerHTML=w.config.prevArrow,w.nextMonthNav=s(\"span\",\"flatpickr-next-month\"),w.nextMonthNav.innerHTML=w.config.nextArrow,q(),Object.defineProperty(w,\"_hidePrevMonthArrow\",{get:function(){return w.__hidePrevMonthArrow},set:function(e){w.__hidePrevMonthArrow!==e&&(d(w.prevMonthNav,\"flatpickr-disabled\",e),w.__hidePrevMonthArrow=e)}}),Object.defineProperty(w,\"_hideNextMonthArrow\",{get:function(){return w.__hideNextMonthArrow},set:function(e){w.__hideNextMonthArrow!==e&&(d(w.nextMonthNav,\"flatpickr-disabled\",e),w.__hideNextMonthArrow=e)}}),w.currentYearElement=w.yearElements[0],De(),w.monthNav)),w.innerContainer=s(\"div\",\"flatpickr-innerContainer\"),w.config.weekNumbers){var n=function(){w.calendarContainer.classList.add(\"hasWeeks\");var e=s(\"div\",\"flatpickr-weekwrapper\");e.appendChild(s(\"span\",\"flatpickr-weekday\",w.l10n.weekAbbreviation));var n=s(\"div\",\"flatpickr-weeks\");return e.appendChild(n),{weekWrapper:e,weekNumbers:n}}(),t=n.weekWrapper,a=n.weekNumbers;w.innerContainer.appendChild(t),w.weekNumbers=a,w.weekWrapper=t}w.rContainer=s(\"div\",\"flatpickr-rContainer\"),w.rContainer.appendChild($()),w.daysContainer||(w.daysContainer=s(\"div\",\"flatpickr-days\"),w.daysContainer.tabIndex=-1),J(),w.rContainer.appendChild(w.daysContainer),w.innerContainer.appendChild(w.rContainer),e.appendChild(w.innerContainer)}w.config.enableTime&&e.appendChild(function(){w.calendarContainer.classList.add(\"hasTime\"),w.config.noCalendar&&w.calendarContainer.classList.add(\"noCalendar\"),w.timeContainer=s(\"div\",\"flatpickr-time\"),w.timeContainer.tabIndex=-1;var e=s(\"span\",\"flatpickr-time-separator\",\":\"),n=m(\"flatpickr-hour\",{\"aria-label\":w.l10n.hourAriaLabel});w.hourElement=n.getElementsByTagName(\"input\")[0];var t=m(\"flatpickr-minute\",{\"aria-label\":w.l10n.minuteAriaLabel});if(w.minuteElement=t.getElementsByTagName(\"input\")[0],w.hourElement.tabIndex=w.minuteElement.tabIndex=-1,w.hourElement.value=o(w.latestSelectedDateObj?w.latestSelectedDateObj.getHours():w.config.time_24hr?w.config.defaultHour:function(e){switch(e%24){case 0:case 12:return 12;default:return 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a=m(\"flatpickr-second\");w.secondElement=a.getElementsByTagName(\"input\")[0],w.secondElement.value=o(w.latestSelectedDateObj?w.latestSelectedDateObj.getSeconds():w.config.defaultSeconds),w.secondElement.setAttribute(\"step\",w.minuteElement.getAttribute(\"step\")),w.secondElement.setAttribute(\"min\",\"0\"),w.secondElement.setAttribute(\"max\",\"59\"),w.timeContainer.appendChild(s(\"span\",\"flatpickr-time-separator\",\":\")),w.timeContainer.appendChild(a)}return w.config.time_24hr||(w.amPM=s(\"span\",\"flatpickr-am-pm\",w.l10n.amPM[r((w.latestSelectedDateObj?w.hourElement.value:w.config.defaultHour)>11)]),w.amPM.title=w.l10n.toggleTitle,w.amPM.tabIndex=-1,w.timeContainer.appendChild(w.amPM)),w.timeContainer}()),d(w.calendarContainer,\"rangeMode\",\"range\"===w.config.mode),d(w.calendarContainer,\"animate\",!0===w.config.animate),d(w.calendarContainer,\"multiMonth\",w.config.showMonths>1),w.calendarContainer.appendChild(e);var i=void 0!==w.config.appendTo&&void 0!==w.config.appendTo.nodeType;if((w.config.inline||w.config.static)&&(w.calendarContainer.classList.add(w.config.inline?\"inline\":\"static\"),w.config.inline&&(!i&&w.element.parentNode?w.element.parentNode.insertBefore(w.calendarContainer,w._input.nextSibling):void 0!==w.config.appendTo&&w.config.appendTo.appendChild(w.calendarContainer)),w.config.static)){var l=s(\"div\",\"flatpickr-wrapper\");w.element.parentNode&&w.element.parentNode.insertBefore(l,w.element),l.appendChild(w.element),w.altInput&&l.appendChild(w.altInput),l.appendChild(w.calendarContainer)}w.config.static||w.config.inline||(void 0!==w.config.appendTo?w.config.appendTo:window.document.body).appendChild(w.calendarContainer)}(),function(){if(w.config.wrap&&[\"open\",\"close\",\"toggle\",\"clear\"].forEach((function(e){Array.prototype.forEach.call(w.element.querySelectorAll(\"[data-\"+e+\"]\"),(function(n){return N(n,\"click\",w[e])}))})),w.isMobile)!function(){var e=w.config.enableTime?w.config.noCalendar?\"time\":\"datetime-local\":\"date\";w.mobileInput=s(\"input\",w.input.className+\" flatpickr-mobile\"),w.mobileInput.tabIndex=1,w.mobileInput.type=e,w.mobileInput.disabled=w.input.disabled,w.mobileInput.required=w.input.required,w.mobileInput.placeholder=w.input.placeholder,w.mobileFormatStr=\"datetime-local\"===e?\"Y-m-d\\\\TH:i:S\":\"date\"===e?\"Y-m-d\":\"H:i:S\",w.selectedDates.length>0&&(w.mobileInput.defaultValue=w.mobileInput.value=w.formatDate(w.selectedDates[0],w.mobileFormatStr)),w.config.minDate&&(w.mobileInput.min=w.formatDate(w.config.minDate,\"Y-m-d\")),w.config.maxDate&&(w.mobileInput.max=w.formatDate(w.config.maxDate,\"Y-m-d\")),w.input.getAttribute(\"step\")&&(w.mobileInput.step=String(w.input.getAttribute(\"step\"))),w.input.type=\"hidden\",void 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u(v=w,r.cssClasses.target),0===r.dir?u(v,r.cssClasses.ltr):u(v,r.cssClasses.rtl),0===r.ort?u(v,r.cssClasses.horizontal):u(v,r.cssClasses.vertical),u(v,\"rtl\"===getComputedStyle(v).direction?r.cssClasses.textDirectionRtl:r.cssClasses.textDirectionLtr),l=L(v,r.cssClasses.base),function(t,e){var n=L(e,r.cssClasses.connects);f=[],(d=[]).push(H(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 .noUi-tooltip{display:block;}.bk-root .noUi-horizontal{width:100%;height:10px;}.bk-root 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r.MarkupView{render(){super.render(),this.model.render_as_text?this.markup_el.textContent=this.model.text:this.markup_el.innerHTML=this.model.text}}i.DivView=_,_.__name__=\"DivView\";class a extends r.Markup{constructor(e){super(e)}static init_Div(){this.prototype.default_view=_,this.define((({Boolean:e})=>({render_as_text:[e,!1]})))}}i.Div=a,a.__name__=\"Div\",a.init_Div()},\n", - " 444: function _(t,e,s,i,a){i();const n=t(1),l=t(224),r=t(43),c=t(488),u=n.__importStar(t(445));class _ extends c.WidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>{this.layout.invalidate_cache(),this.render(),this.root.compute_layout()}))}styles(){return[...super.styles(),u.default]}_update_layout(){this.layout=new l.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=r.div({class:u.clearfix,style:t}),this.el.appendChild(this.markup_el)}}s.MarkupView=_,_.__name__=\"MarkupView\";class o extends c.Widget{constructor(t){super(t)}static init_Markup(){this.define((({String:t,Dict:e})=>({text:[t,\"\"],style:[e(t),{}]})))}}s.Markup=o,o.__name__=\"Markup\",o.init_Markup()},\n", - " 445: function _(o,r,e,t,a){t(),e.root=\"bk-root\",e.clearfix=\"bk-clearfix\",e.default='.bk-root .bk-clearfix:before,.bk-root .bk-clearfix:after{content:\"\";display:table;}.bk-root .bk-clearfix:after{clear:both;}'},\n", - " 446: function _(e,t,i,n,s){n();const o=e(1),r=e(419),l=e(264),d=e(43),_=e(8),u=o.__importStar(e(328)),c=o.__importStar(e(243)),h=c;class p extends r.AbstractButtonView{constructor(){super(...arguments),this._open=!1}styles(){return[...super.styles(),c.default]}render(){super.render();const e=d.div({class:[h.caret,h.down]});if(this.model.is_split){const t=this._render_button(e);t.classList.add(u.dropdown_toggle),t.addEventListener(\"click\",(()=>this._toggle_menu())),this.group_el.appendChild(t)}else this.button_el.appendChild(e);const t=this.model.menu.map(((e,t)=>{if(null==e)return d.div({class:h.divider});{const i=_.isString(e)?e:e[0],n=d.div({},i);return n.addEventListener(\"click\",(()=>this._item_click(t))),n}}));this.menu=d.div({class:[h.menu,h.below]},t),this.el.appendChild(this.menu),d.undisplay(this.menu)}_show_menu(){if(!this._open){this._open=!0,d.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,d.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 l.ButtonClick),super.click()):this._toggle_menu()}_item_click(e){this._hide_menu();const t=this.model.menu[e];if(null!=t){const i=_.isString(t)?t:t[1];_.isString(i)?this.model.trigger_event(new l.MenuItemClick(i)):i.execute(this.model,{index:e})}}}i.DropdownView=p,p.__name__=\"DropdownView\";class m extends r.AbstractButton{constructor(e){super(e)}static init_Dropdown(){this.prototype.default_view=p,this.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)),[]]}))),this.override({label:\"Dropdown\"})}get is_split(){return this.split}}i.Dropdown=m,m.__name__=\"Dropdown\",m.init_Dropdown()},\n", - " 447: function _(e,i,l,t,s){t();const n=e(43),a=e(488);class o extends a.WidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.render()))}render(){const{multiple:e,accept:i,disabled:l,width:t}=this.model;null==this.dialog_el&&(this.dialog_el=n.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!=i&&\"\"!=i&&(this.dialog_el.accept=i),this.dialog_el.style.width=`${t}px`,this.dialog_el.disabled=l}async load_files(e){const i=[],l=[],t=[];for(const s of e){const e=await this._read_file(s),[,n=\"\",,a=\"\"]=e.split(/[:;,]/,4);i.push(a),l.push(s.name),t.push(n)}this.model.multiple?(this.model.value=i,this.model.filename=l,this.model.mime_type=t):(this.model.value=i[0],this.model.filename=l[0],this.model.mime_type=t[0])}_read_file(e){return new Promise(((i,l)=>{const t=new FileReader;t.onload=()=>{var s;const{result:n}=t;null!=n?i(n):l(null!==(s=t.error)&&void 0!==s?s:new Error(`unable to read 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c.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 r.isString(e)?t=i=e:[t,i]=e,o.option({value:t},i)}));this.input_el=o.select({multiple:!0,class:h.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=p,p.__name__=\"MultiSelectView\";class u extends c.InputWidget{constructor(e){super(e)}static init_MultiSelect(){this.prototype.default_view=p,this.define((({Int:e,String:t,Array:i,Tuple:s,Or:n})=>({value:[i(t),[]],options:[i(n(t,s(t,t))),[]],size:[e,4]})))}}i.MultiSelect=u,u.__name__=\"MultiSelect\",u.init_MultiSelect()},\n", - " 449: function _(a,r,e,t,p){t();const s=a(444),i=a(43);class n extends s.MarkupView{render(){super.render();const a=i.p({style:{margin:0}},this.model.text);this.markup_el.appendChild(a)}}e.ParagraphView=n,n.__name__=\"ParagraphView\";class _ extends s.Markup{constructor(a){super(a)}static 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_.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,delete_button:l,placeholder:s,options:o,name:n,title:h}=this.model.properties;this.on_change([e,t,i,l,s,o,n,h],(()=>this.render()))}styles(){return[...super.styles(),d.default]}_update_layout(){this.layout=new u.CachedVariadicBox(this.el),this.layout.set_sizing(this.box_sizing())}render(){super.render(),this.input_el=h.select({multiple:!0,class:c.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 a.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 ${i}`,o={choices:t,duplicateItemsAllowed:!1,removeItemButton:this.model.delete_button,classNames:{item:l,button:s}};null!=this.model.placeholder&&(o.placeholderValue=this.model.placeholder),null!=this.model.max_items&&(o.maxItemCount=this.model.max_items),null!=this.model.option_limit&&(o.renderChoiceLimit=this.model.option_limit),this.choice_el=new n.default(this.input_el,o);const u=()=>this.choice_el.containerOuter.element.getBoundingClientRect().height;null!=this._last_height&&this._last_height!=u()&&this.root.invalidate_layout(),this._last_height=u(),this.input_el.addEventListener(\"change\",(()=>this.change_input()))}set_disabled(){this.model.disabled?this.choice_el.disable():this.choice_el.enable()}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.MultiChoiceView=r,r.__name__=\"MultiChoiceView\";class m extends 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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: \"+(e+1)+\"px)\").matches:\"top\"===this.position&&(t=!0),t},t.setActiveDescendant=function(e){this.element.setAttribute(\"aria-activedescendant\",e)},t.removeActiveDescendant=function(){this.element.removeAttribute(\"aria-activedescendant\")},t.open=function(e){this.element.classList.add(this.classNames.openState),this.element.setAttribute(\"aria-expanded\",\"true\"),this.isOpen=!0,this.shouldFlip(e)&&(this.element.classList.add(this.classNames.flippedState),this.isFlipped=!0)},t.close=function(){this.element.classList.remove(this.classNames.openState),this.element.setAttribute(\"aria-expanded\",\"false\"),this.removeActiveDescendant(),this.isOpen=!1,this.isFlipped&&(this.element.classList.remove(this.classNames.flippedState),this.isFlipped=!1)},t.focus=function(){this.isFocussed||this.element.focus()},t.addFocusState=function(){this.element.classList.add(this.classNames.focusState)},t.removeFocusState=function(){this.element.classList.remove(this.classNames.focusState)},t.enable=function(){this.element.classList.remove(this.classNames.disabledState),this.element.removeAttribute(\"aria-disabled\"),this.type===oe&&this.element.setAttribute(\"tabindex\",\"0\"),this.isDisabled=!1},t.disable=function(){this.element.classList.add(this.classNames.disabledState),this.element.setAttribute(\"aria-disabled\",\"true\"),this.type===oe&&this.element.setAttribute(\"tabindex\",\"-1\"),this.isDisabled=!0},t.wrap=function(e){!function(e,t){void 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&&d.assert(t<=l,\"Invalid bounds, low must be inferior to high\"),null!=e&&null!=t&&(this.model.value=Math.max(e,t))})),this.connect(this.model.properties.high.change,(()=>{const{value:e,low:t,high:l}=this.model;null!=t&&null!=l&&d.assert(l>=t,\"Invalid bounds, high must be superior to low\"),null!=e&&null!=l&&(this.model.value=Math.min(e,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=a.input({type:\"text\",class:p.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=>_.test(e))):\"float\"==this.model.mode&&this._set_input_filter((e=>m.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=c,c.__name__=\"NumericInputView\";class v extends h.InputWidget{constructor(e){super(e)}static init_NumericInput(){this.prototype.default_view=c,this.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(o.TickFormatter))),null],low:[s(e),null],high:[s(e),null]})))}_formatter(e,t){return r.isString(t)?u.format(e,t):t.doFormat([e],{loc:0})[0]}pretty(e){return null!=this.format?this._formatter(e,this.format):`${e}`}}l.NumericInput=v,v.__name__=\"NumericInput\",v.init_NumericInput()},\n", - " 455: function _(e,t,r,s,i){s();const n=e(444),_=e(43);class a extends n.MarkupView{render(){super.render();const e=_.pre({style:{overflow:\"auto\"}},this.model.text);this.markup_el.appendChild(e)}}r.PreTextView=a,a.__name__=\"PreTextView\";class o extends n.Markup{constructor(e){super(e)}static init_PreText(){this.prototype.default_view=a}}r.PreText=o,o.__name__=\"PreText\",o.init_PreText()},\n", - " 456: function _(t,o,i,e,a){e();const n=t(1),u=t(430),s=t(43),c=n.__importStar(t(328));class _ extends u.ButtonGroupView{change_active(t){this.model.active!==t&&(this.model.active=t)}_update_active(){const{active:t}=this.model;this._buttons.forEach(((o,i)=>{s.classes(o).toggle(c.active,t===i)}))}}i.RadioButtonGroupView=_,_.__name__=\"RadioButtonGroupView\";class r extends u.ButtonGroup{constructor(t){super(t)}static init_RadioButtonGroup(){this.prototype.default_view=_,this.define((({Int:t,Nullable:o})=>({active:[o(t),null]})))}}i.RadioButtonGroup=r,r.__name__=\"RadioButtonGroup\",r.init_RadioButtonGroup()},\n", - " 457: function _(e,i,t,n,a){n();const s=e(1),o=e(43),l=e(34),d=e(432),p=s.__importStar(e(427));class u extends d.InputGroupView{render(){super.render();const e=o.div({class:[p.input_group,this.model.inline?p.inline:null]});this.el.appendChild(e);const i=l.uniqueId(),{active:t,labels:n}=this.model;this._inputs=[];for(let a=0;athis.change_active(a))),this._inputs.push(s),this.model.disabled&&(s.disabled=!0),a==t&&(s.checked=!0);const l=o.label({},s,o.span({},n[a]));e.appendChild(l)}}change_active(e){this.model.active=e}}t.RadioGroupView=u,u.__name__=\"RadioGroupView\";class r extends d.InputGroup{constructor(e){super(e)}static init_RadioGroup(){this.prototype.default_view=u,this.define((({Boolean:e,Int:i,String:t,Array:n,Nullable:a})=>({active:[a(i),null],labels:[n(t),[]],inline:[e,!1]})))}}t.RadioGroup=r,r.__name__=\"RadioGroup\",r.init_RadioGroup()},\n", - " 458: function _(e,t,i,r,a){r();const n=e(1).__importStar(e(183)),s=e(438),_=e(8);class d extends s.AbstractRangeSliderView{}i.RangeSliderView=d,d.__name__=\"RangeSliderView\";class o extends s.AbstractSlider{constructor(e){super(e),this.behaviour=\"drag\",this.connected=[!1,!0,!1]}static init_RangeSlider(){this.prototype.default_view=d,this.override({format:\"0[.]00\"})}_formatter(e,t){return _.isString(t)?n.format(e,t):t.compute(e)}}i.RangeSlider=o,o.__name__=\"RangeSlider\",o.init_RangeSlider()},\n", - " 459: function _(e,t,n,i,s){i();const l=e(1),u=e(43),a=e(8),o=e(13),_=e(426),p=l.__importStar(e(427));class r 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,(()=>{u.empty(this.input_el),u.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,i;return a.isString(t)?n=i=t:[n,i]=t,e.add(n),u.option({value:n},i)}))}e.clear();const{options:n}=this.model;return a.isArray(n)?t(n):o.entries(n).map((([e,n])=>u.optgroup({label:e},t(n))))}render(){super.render(),this.input_el=u.select({class:p.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=r,r.__name__=\"SelectView\";class c extends _.InputWidget{constructor(e){super(e)}static init_Select(){this.prototype.default_view=r,this.define((({String:e,Array:t,Tuple:n,Dict:i,Or:s})=>{const l=t(s(e,n(e,e)));return{value:[e,\"\"],options:[s(l,i(l)),[]]}}))}}n.Select=c,c.__name__=\"Select\",c.init_Select()},\n", - " 460: function _(t,e,i,r,s){r();const _=t(1).__importStar(t(183)),a=t(438),n=t(8);class o extends a.AbstractSliderView{}i.SliderView=o,o.__name__=\"SliderView\";class d extends a.AbstractSlider{constructor(t){super(t),this.behaviour=\"tap\",this.connected=[!0,!1]}static init_Slider(){this.prototype.default_view=o,this.override({format:\"0[.]00\"})}_formatter(t,e){return n.isString(e)?_.format(t,e):e.compute(t)}}i.Slider=d,d.__name__=\"Slider\",d.init_Slider()},\n", - " 461: function _(e,t,i,n,s){n();const l=e(454),o=e(43),{min:r,max:a,floor:h,abs:_}=Math;function u(e){return h(e)!==e?e.toFixed(16).replace(/0+$/,\"\").split(\".\")[1].length:0}class d extends l.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())o.toggle_attribute(e,\"disabled\",this.model.disabled)}))}render(){super.render(),this.wrapper_el=o.div({class:\"bk-spin-wrapper\"}),this.group_el.replaceChild(this.wrapper_el,this.input_el),this.btn_up_el=o.button({class:\"bk-spin-btn bk-spin-btn-up\"}),this.btn_down_el=o.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())o.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=u;return a(n(_(null!=e?e:0)),n(_(null!=t?t:0)),n(_(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 o.Keys.Up:return e.preventDefault(),this.increment(this.model.step);case o.Keys.Down:return e.preventDefault(),this.increment(-this.model.step);case o.Keys.PageUp:return e.preventDefault(),this.increment(this.model.page_step_multiplier*this.model.step);case o.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?r(0,i):0:e<0&&(this.model.value=null!=i?i:null!=t?a(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=d,d.__name__=\"SpinnerView\";class p extends l.NumericInput{constructor(e){super(e)}static init_Spinner(){this.prototype.default_view=d,this.define((({Number:e,Nullable:t})=>({value_throttled:[t(e),null],step:[e,1],page_step_multiplier:[e,10],wheel_wait:[e,100]}))),this.override({mode:\"float\"})}}i.Spinner=p,p.__name__=\"Spinner\",p.init_Spinner()},\n", - " 462: function _(e,t,s,n,i){n();const r=e(1),o=e(425),p=e(43),c=r.__importStar(e(427));class l extends o.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=p.textarea({class:c.input})}render(){super.render(),this.input_el.cols=this.model.cols,this.input_el.rows=this.model.rows}}s.TextAreaInputView=l,l.__name__=\"TextAreaInputView\";class _ extends o.TextLikeInput{constructor(e){super(e)}static init_TextAreaInput(){this.prototype.default_view=l,this.define((({Int:e})=>({cols:[e,20],rows:[e,2]}))),this.override({max_length:500})}}s.TextAreaInput=_,_.__name__=\"TextAreaInput\",_.init_TextAreaInput()},\n", - " 463: function _(e,t,i,s,c){s();const o=e(1),a=e(419),n=e(43),l=o.__importStar(e(328));class _ extends a.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(){n.classes(this.button_el).toggle(l.active,this.model.active)}}i.ToggleView=_,_.__name__=\"ToggleView\";class g extends a.AbstractButton{constructor(e){super(e)}static init_Toggle(){this.prototype.default_view=_,this.define((({Boolean:e})=>({active:[e,!1]}))),this.override({label:\"Toggle\"})}}i.Toggle=g,g.__name__=\"Toggle\",g.init_Toggle()},\n", - " }, 417, {\"models/widgets/main\":417,\"models/widgets/index\":418,\"models/widgets/abstract_button\":419,\"models/widgets/control\":420,\"models/widgets/widget\":488,\"models/widgets/abstract_icon\":422,\"models/widgets/autocomplete_input\":423,\"models/widgets/text_input\":424,\"models/widgets/text_like_input\":425,\"models/widgets/input_widget\":426,\"styles/widgets/inputs.css\":427,\"models/widgets/button\":428,\"models/widgets/checkbox_button_group\":429,\"models/widgets/button_group\":430,\"models/widgets/checkbox_group\":431,\"models/widgets/input_group\":432,\"models/widgets/color_picker\":433,\"models/widgets/date_picker\":434,\"styles/widgets/flatpickr.css\":436,\"models/widgets/date_range_slider\":437,\"models/widgets/abstract_slider\":438,\"styles/widgets/sliders.css\":440,\"styles/widgets/nouislider.css\":441,\"models/widgets/date_slider\":442,\"models/widgets/div\":443,\"models/widgets/markup\":444,\"styles/clearfix.css\":445,\"models/widgets/dropdown\":446,\"models/widgets/file_input\":447,\"models/widgets/multiselect\":448,\"models/widgets/paragraph\":449,\"models/widgets/password_input\":450,\"models/widgets/multichoice\":451,\"styles/widgets/choices.css\":453,\"models/widgets/numeric_input\":454,\"models/widgets/pretext\":455,\"models/widgets/radio_button_group\":456,\"models/widgets/radio_group\":457,\"models/widgets/range_slider\":458,\"models/widgets/selectbox\":459,\"models/widgets/slider\":460,\"models/widgets/spinner\":461,\"models/widgets/textarea_input\":462,\"models/widgets/toggle\":463}, {});});\n", - "\n", - " /* END bokeh-widgets.min.js */\n", - " },\n", - " \n", - " function(Bokeh) {\n", - " /* BEGIN bokeh-tables.min.js */\n", - " /*!\n", - " * Copyright (c) 2012 - 2021, 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\"], \"2.3.2\");\n", - " })(this, function(Bokeh, version) {\n", - " var 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", - " 464: function _(t,e,o,r,s){r();const _=t(1).__importStar(t(465));o.Tables=_;t(7).register_models(_)},\n", - " 465: function _(g,a,r,e,t){e();const o=g(1);o.__exportStar(g(466),r),o.__exportStar(g(469),r),t(\"DataTable\",g(472).DataTable),t(\"TableColumn\",g(490).TableColumn),t(\"TableWidget\",g(489).TableWidget);var n=g(492);t(\"AvgAggregator\",n.AvgAggregator),t(\"MinAggregator\",n.MinAggregator),t(\"MaxAggregator\",n.MaxAggregator),t(\"SumAggregator\",n.SumAggregator);var A=g(493);t(\"GroupingInfo\",A.GroupingInfo),t(\"DataCube\",A.DataCube)},\n", - " 466: function _(e,t,i,s,r){s();const a=e(1),n=e(43),l=e(240),u=e(53),d=e(467),o=a.__importStar(e(468));class _ extends l.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(o.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 n.Keys.Left:case n.Keys.Right:case n.Keys.Up:case n.Keys.Down:case n.Keys.PageUp:case n.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[d.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=_,_.__name__=\"CellEditorView\";class c extends u.Model{}i.CellEditor=c,c.__name__=\"CellEditor\";class p extends _{get emptyValue(){return\"\"}_createInput(){return n.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=p,p.__name__=\"StringEditorView\";class h extends c{static init_StringEditor(){this.prototype.default_view=p,this.define((({String:e,Array:t})=>({completions:[t(e),[]]})))}}i.StringEditor=h,h.__name__=\"StringEditor\",h.init_StringEditor();class E extends _{_createInput(){return n.textarea()}renderEditor(){this.inputEl.focus(),this.inputEl.select()}}i.TextEditorView=E,E.__name__=\"TextEditorView\";class V extends c{static init_TextEditor(){this.prototype.default_view=E}}i.TextEditor=V,V.__name__=\"TextEditor\",V.init_TextEditor();class m extends _{_createInput(){return n.select()}renderEditor(){for(const e of this.model.options)this.inputEl.appendChild(n.option({value:e},e));this.focus()}}i.SelectEditorView=m,m.__name__=\"SelectEditorView\";class f extends c{static init_SelectEditor(){this.prototype.default_view=m,this.define((({String:e,Array:t})=>({options:[t(e),[]]})))}}i.SelectEditor=f,f.__name__=\"SelectEditor\",f.init_SelectEditor();class x extends _{_createInput(){return n.input({type:\"text\"})}}i.PercentEditorView=x,x.__name__=\"PercentEditorView\";class g extends c{static init_PercentEditor(){this.prototype.default_view=x}}i.PercentEditor=g,g.__name__=\"PercentEditor\",g.init_PercentEditor();class w extends _{_createInput(){return n.input({type:\"checkbox\"})}renderEditor(){this.focus()}loadValue(e){this.defaultValue=!!e[this.args.column.field],this.inputEl.checked=this.defaultValue}serializeValue(){return this.inputEl.checked}}i.CheckboxEditorView=w,w.__name__=\"CheckboxEditorView\";class v extends c{static init_CheckboxEditor(){this.prototype.default_view=w}}i.CheckboxEditor=v,v.__name__=\"CheckboxEditor\",v.init_CheckboxEditor();class y extends _{_createInput(){return n.input({type:\"text\"})}renderEditor(){this.inputEl.focus(),this.inputEl.select()}remove(){super.remove()}serializeValue(){var e;return null!==(e=parseInt(this.getValue(),10))&&void 0!==e?e:0}loadValue(e){super.loadValue(e),this.inputEl.defaultValue=this.defaultValue,this.inputEl.select()}validateValue(e){return isNaN(e)?{valid:!1,msg:\"Please enter a valid integer\"}:super.validateValue(e)}}i.IntEditorView=y,y.__name__=\"IntEditorView\";class I extends c{static init_IntEditor(){this.prototype.default_view=y,this.define((({Int:e})=>({step:[e,1]})))}}i.IntEditor=I,I.__name__=\"IntEditor\",I.init_IntEditor();class b extends _{_createInput(){return n.input({type:\"text\"})}renderEditor(){this.inputEl.focus(),this.inputEl.select()}remove(){super.remove()}serializeValue(){var e;return null!==(e=parseFloat(this.getValue()))&&void 0!==e?e:0}loadValue(e){super.loadValue(e),this.inputEl.defaultValue=this.defaultValue,this.inputEl.select()}validateValue(e){return isNaN(e)?{valid:!1,msg:\"Please enter a valid number\"}:super.validateValue(e)}}i.NumberEditorView=b,b.__name__=\"NumberEditorView\";class N extends c{static init_NumberEditor(){this.prototype.default_view=b,this.define((({Number:e})=>({step:[e,.01]})))}}i.NumberEditor=N,N.__name__=\"NumberEditor\",N.init_NumberEditor();class S extends _{_createInput(){return n.input({type:\"text\"})}}i.TimeEditorView=S,S.__name__=\"TimeEditorView\";class C extends c{static init_TimeEditor(){this.prototype.default_view=S}}i.TimeEditor=C,C.__name__=\"TimeEditor\",C.init_TimeEditor();class D extends _{_createInput(){return n.input({type:\"text\"})}get emptyValue(){return new Date}renderEditor(){this.inputEl.focus(),this.inputEl.select()}destroy(){super.destroy()}show(){super.show()}hide(){super.hide()}position(){return super.position()}getValue(){}setValue(e){}}i.DateEditorView=D,D.__name__=\"DateEditorView\";class T extends c{static init_DateEditor(){this.prototype.default_view=D}}i.DateEditor=T,T.__name__=\"DateEditor\",T.init_DateEditor()},\n", - " 467: function _(_,n,i,t,d){t(),i.DTINDEX_NAME=\"__bkdt_internal_index__\"},\n", - " 468: function _(e,l,o,t,r){t(),o.root=\"bk-root\",o.data_table=\"bk-data-table\",o.cell_special_defaults=\"bk-cell-special-defaults\",o.cell_select=\"bk-cell-select\",o.cell_index=\"bk-cell-index\",o.header_index=\"bk-header-index\",o.cell_editor=\"bk-cell-editor\",o.cell_editor_completion=\"bk-cell-editor-completion\",o.default='.bk-root .bk-data-table{box-sizing:content-box;font-size:11px;}.bk-root .bk-data-table input[type=\"checkbox\"]{margin-left:4px;margin-right:4px;}.bk-root .bk-cell-special-defaults{border-right-color:silver;border-right-style:solid;background:#f5f5f5;}.bk-root .bk-cell-select{border-right-color:silver;border-right-style:solid;background:#f5f5f5;}.bk-root .slick-cell.bk-cell-index{border-right-color:silver;border-right-style:solid;background:#f5f5f5;text-align:right;background:#f0f0f0;color:#909090;}.bk-root .bk-header-index .slick-column-name{float:right;}.bk-root .slick-row.selected .bk-cell-index{background-color:transparent;}.bk-root .slick-row.odd{background:#f0f0f0;}.bk-root .slick-cell{padding-left:4px;padding-right:4px;border-right-color:transparent;border:0.25px solid transparent;}.bk-root .slick-cell .bk{line-height:inherit;}.bk-root .slick-cell.active{border-style:dashed;}.bk-root .slick-cell.selected{background-color:#F0F8FF;}.bk-root .slick-cell.editable{padding-left:0;padding-right:0;}.bk-root .bk-cell-editor{display:contents;}.bk-root .bk-cell-editor input,.bk-root .bk-cell-editor select{width:100%;height:100%;border:0;margin:0;padding:0;outline:0;background:transparent;vertical-align:baseline;}.bk-root .bk-cell-editor input{padding-left:4px;padding-right:4px;}.bk-root .bk-cell-editor-completion{font-size:11px;}'},\n", - " 469: function _(t,e,r,a,n){a();const i=t(1),o=i.__importDefault(t(181)),s=i.__importStar(t(183)),l=t(470),c=t(43),m=t(20),u=t(8),_=t(34),F=t(22),d=t(53);class f extends d.Model{constructor(t){super(t)}doFormat(t,e,r,a,n){return null==r?\"\":(r+\"\").replace(/&/g,\"&\").replace(//g,\">\")}}r.CellFormatter=f,f.__name__=\"CellFormatter\";class h extends f{constructor(t){super(t)}static init_StringFormatter(){this.define((({Color:t,Nullable:e})=>({font_style:[m.FontStyle,\"normal\"],text_align:[m.TextAlign,\"left\"],text_color:[e(t),null]})))}doFormat(t,e,r,a,n){const{font_style:i,text_align:o,text_color:s}=this,l=c.div({},null==r?\"\":`${r}`);switch(i){case\"bold\":l.style.fontWeight=\"bold\";break;case\"italic\":l.style.fontStyle=\"italic\"}return null!=o&&(l.style.textAlign=o),null!=s&&(l.style.color=F.color2css(s)),l.outerHTML}}r.StringFormatter=h,h.__name__=\"StringFormatter\",h.init_StringFormatter();class g extends h{constructor(t){super(t)}static init_ScientificFormatter(){this.define((({Number:t,String:e,Nullable:r})=>({nan_format:[r(e),null],precision:[t,10],power_limit_high:[t,5],power_limit_low:[t,-3]})))}get scientific_limit_low(){return 10**this.power_limit_low}get scientific_limit_high(){return 10**this.power_limit_high}doFormat(t,e,r,a,n){const i=Math.abs(r)<=this.scientific_limit_low||Math.abs(r)>=this.scientific_limit_high;let o=this.precision;return o<1&&(o=1),r=null!=r&&!isNaN(r)||null==this.nan_format?0==r?_.to_fixed(r,1):i?r.toExponential(o):_.to_fixed(r,o):this.nan_format,super.doFormat(t,e,r,a,n)}}r.ScientificFormatter=g,g.__name__=\"ScientificFormatter\",g.init_ScientificFormatter();class p extends h{constructor(t){super(t)}static init_NumberFormatter(){this.define((({String:t,Nullable:e})=>({format:[t,\"0,0\"],language:[t,\"en\"],rounding:[m.RoundingFunction,\"round\"],nan_format:[e(t),null]})))}doFormat(t,e,r,a,n){const{format:i,language:o,nan_format:l}=this,c=(()=>{switch(this.rounding){case\"round\":case\"nearest\":return Math.round;case\"floor\":case\"rounddown\":return Math.floor;case\"ceil\":case\"roundup\":return Math.ceil}})();return 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s;return s=null!=(r=u.isString(r)?parseInt(r,10):r)&&!isNaN(r)&&-9223372036854776!==r||null==i?null==r?\"\":o.default(r,this.getFormat()):i,super.doFormat(t,e,s,a,n)}}r.DateFormatter=b,b.__name__=\"DateFormatter\",b.init_DateFormatter();class x extends f{constructor(t){super(t)}static init_HTMLTemplateFormatter(){this.define((({String:t})=>({template:[t,\"<%= value %>\"]})))}doFormat(t,e,r,a,n){const{template:i}=this;if(null==r)return\"\";return l._.template(i)(Object.assign(Object.assign({},n),{value:r}))}}r.HTMLTemplateFormatter=x,x.__name__=\"HTMLTemplateFormatter\",x.init_HTMLTemplateFormatter()},\n", - " 470: function _(e,n,t,f,i){var o=e(471),d=o.template;function r(e,n,t){return d(e,n,t)}r._=o,n.exports=r,\"function\"==typeof define&&define.amd?define((function(){return r})):\"undefined\"==typeof window&&\"undefined\"==typeof navigator||(window.UnderscoreTemplate=r)},\n", - " 471: function _(r,e,n,t,a){\n", - " // (c) 2009-2013 Jeremy Ashkenas, DocumentCloud and Investigative 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